From 95e222a5a2a291dd2975d3d743362abf52569e06 Mon Sep 17 00:00:00 2001 From: Ivan Menshikh Date: Wed, 23 Jan 2019 08:30:51 +0500 Subject: [PATCH 01/31] Fix backward compatibility issue: loading `FastTextKeyedVectors` using `KeyedVectors` (missing attribute `compatible_hash`) (#2349) * fix backward compatibility issue (impl. patching in load) * add test * upd test model (downgrade numpy) --- gensim/models/keyedvectors.py | 17 +++++++++++++++++ gensim/test/test_data/ft_kv_3.6.0.model.gz | Bin 0 -> 1117 bytes gensim/test/test_keyedvectors.py | 16 +++++++++++++++- 3 files changed, 32 insertions(+), 1 deletion(-) create mode 100644 gensim/test/test_data/ft_kv_3.6.0.model.gz diff --git a/gensim/models/keyedvectors.py b/gensim/models/keyedvectors.py index d9dad1cc56..65711baec6 100644 --- a/gensim/models/keyedvectors.py +++ b/gensim/models/keyedvectors.py @@ -1512,6 +1512,15 @@ def get_keras_embedding(self, train_embeddings=False): ) return layer + @classmethod + def load(cls, fname_or_handle, **kwargs): + model = super(WordEmbeddingsKeyedVectors, cls).load(fname_or_handle, **kwargs) + if isinstance(model, FastTextKeyedVectors): + if not hasattr(model, 'compatible_hash'): + model.compatible_hash = False + + return model + KeyedVectors = Word2VecKeyedVectors # alias for backward compatibility @@ -1974,6 +1983,14 @@ def __init__(self, vector_size, min_n, max_n, bucket, compatible_hash): self.num_ngram_vectors = 0 self.compatible_hash = compatible_hash + @classmethod + def load(cls, fname_or_handle, **kwargs): + model = super(WordEmbeddingsKeyedVectors, cls).load(fname_or_handle, **kwargs) + if not hasattr(model, 'compatible_hash'): + model.compatible_hash = False + + return model + @property @deprecated("Attribute will be removed in 4.0.0, use self.vectors_vocab instead") def syn0_vocab(self): diff --git a/gensim/test/test_data/ft_kv_3.6.0.model.gz b/gensim/test/test_data/ft_kv_3.6.0.model.gz new file mode 100644 index 0000000000000000000000000000000000000000..55fd042b546ae3c92cca7b2022f9a04951071955 GIT binary patch literal 1117 zcmV-j1fu&NiwFoZ{YG2@|7LVwYj$5VE;cSOE^TjQWo!U_lzVIxMI6W5yWX|kzMm8* z(4Jnsw)QFFqjv*Zi?l0EEN=1DEPH#?&ZXVE`|YFl&_!xOp#c*AF@{)!$^nLG41bu$ z%1$DQk3W%O0`U)}N>Zb-MIt8ha&E8J(tq4dHoNot%y+*t-KaE(S~DF|66xO{?J2}f8R-2bQ8 zpX|UvHj~IPA(u(WQ6r)Q$2$a9I1<8RkjG~UoF*x;5iEvTDZl5RE0Z20D7c1HDMp}x zBzqT{P~;;V?<9GACdu!4@n&K@W87L?)3E}@HdJClX%fm}PzHl`>^i+BDWt0yYfxr0 z1t!@L*ad=RO%dtYGlkNSz4}rIFkf zB$rJoRtF^+gU{ybO=w7S+A)XW=N)m>7Y_c(+g?CM_GP79Pc-CXM2e zs1(xR@c|)wX~^&dX(ubjpG+FhXU55vN#X6kW;#0Bd@rM)?sU>uE`I87+v!EKZQ1m> zqTl@8dpt-^Y^CcyI_p32@wb7R10H&6Vb*_rgMn@=IO$7jBH+c1=*o1VHGa9}oc6`< zfzP^&sI_hPm$P5FQP-t1dh*bB{sbWOp59F>%XeAdR38gmdcBF(ohkPpzg&yX6DK{| z;ZFPG%GfI8 zFJsC2HlZ~AZ66`2)~B$*5lJKMse|BY6FPm#=-8dXJNPW#nR*&RUaGgKh4*53hNbFa zhYt&&i@lbx{8MJc^n`C`&I?xk5T0F?!H!iK%)S$}-XxXilMl|&Ul!eT&I|OO_b|QQ z)K3S0yl4&IIAYD*nf2G6e$|?vyB(M~-%Sfj#*wG*Lpn|81D*?#)zDcJSlnmOcdL5o zAH6$K-w(&pzvu2+7kZos$M>V)*$K4o#8K+#f1f^&C3>uM9Nns#q%$MCtzUblP^9K_ j|KGPA=;qa17R!L`9Ze1=_fGeK5p4bst&u}nw*>$I?s_R8 literal 0 HcmV?d00001 diff --git a/gensim/test/test_keyedvectors.py b/gensim/test/test_keyedvectors.py index 2170403342..59e361cc6c 100644 --- a/gensim/test/test_keyedvectors.py +++ b/gensim/test/test_keyedvectors.py @@ -15,7 +15,8 @@ import numpy as np from gensim.corpora import Dictionary -from gensim.models import KeyedVectors as EuclideanKeyedVectors, WordEmbeddingSimilarityIndex +from gensim.models.keyedvectors import KeyedVectors as EuclideanKeyedVectors, WordEmbeddingSimilarityIndex, \ + FastTextKeyedVectors from gensim.test.utils import datapath import gensim.models.keyedvectors @@ -279,6 +280,19 @@ def test_set_item(self): for ent, vector in zip(entities, vectors): self.assertTrue(np.allclose(self.vectors[ent], vector)) + def test_ft_kv_backward_compat_w_360(self): + kv = EuclideanKeyedVectors.load(datapath("ft_kv_3.6.0.model.gz")) + ft_kv = FastTextKeyedVectors.load(datapath("ft_kv_3.6.0.model.gz")) + + expected = ['trees', 'survey', 'system', 'graph', 'interface'] + actual = [word for (word, similarity) in kv.most_similar("human", topn=5)] + + self.assertEqual(actual, expected) + + actual = [word for (word, similarity) in ft_kv.most_similar("human", topn=5)] + + self.assertEqual(actual, expected) + class L2NormTest(unittest.TestCase): def test(self): From 0cc099408e3b31dcb2c0341b3a0d89b618d8a164 Mon Sep 17 00:00:00 2001 From: tobycheese Date: Wed, 23 Jan 2019 10:09:06 +0100 Subject: [PATCH 02/31] Add warning when string is used as argument to infer_vector() (#2347) * correct name of 'sentences' argument to 'documents in docstrings; minor docstring clarifications over which I stumbled * add warning when string is used as argument to infer_vector() * change warning about single string to exception * change ValueError to TypeError and make error message more explicit --- gensim/models/doc2vec.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/gensim/models/doc2vec.py b/gensim/models/doc2vec.py index 46508afdb3..9812dc5ef4 100644 --- a/gensim/models/doc2vec.py +++ b/gensim/models/doc2vec.py @@ -907,6 +907,9 @@ def infer_vector(self, doc_words, alpha=None, min_alpha=None, epochs=None, steps The inferred paragraph vector for the new document. """ + if isinstance(doc_words, string_types): + raise TypeError("Parameter doc_words of infer_vector() must be a list of strings (not a single string).") + alpha = alpha or self.alpha min_alpha = min_alpha or self.min_alpha epochs = epochs or steps or self.epochs From 411f5466326c6a44dcc80d2ac241f7a0c1bfeee5 Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Thu, 24 Jan 2019 13:51:40 +0900 Subject: [PATCH 03/31] Optimize `FastText.load_fasttext_model` (#2340) * add docstring for Model namedtuple * add option to skip hidden matrix loading * review response: rename fast -> full_model * speed up hash function based on ideas from @horpto and @menshikh-iv * remove obsolete ft_hash function * review response: update docstring * attempt to hack around appveyor Py2.7 build missing stdint.h * fixup: add missing int8_t typedef * review response: avoid split and join * review response: add comment to explain hack * review response: improve logging message * review response: fix hash_main function * fixup: fix test_utils.py * add tests for ngram generation * fixup in tests * add emoji test case * minor fixup in logging message * add byte tests * remove FIXME, absense of ord does not influence correctness * review response: introduce list slicing * avoid using fstrings for Py2 compatibility * flake8 * more Py2 compatibility * flake8 * review response: get rid of set() * review response: remove excess bytes() call * fix tests (wide unicode issue) * add test against actual FB implementation * adding temporary benchmarking code * replacing non-optimized code with optimized code * removing temporary benchmarking code * remove wide characters from fb test code --- gensim/models/_fasttext_bin.py | 58 +- gensim/models/_utils_any2vec.c | 4213 ++++++++++++--------------- gensim/models/_utils_any2vec.pyx | 87 +- gensim/models/fasttext.py | 39 +- gensim/models/keyedvectors.py | 43 +- gensim/models/stdint_wrapper.h | 19 + gensim/models/utils_any2vec.py | 200 +- gensim/test/test_data/fb-ngrams.txt | 89 + gensim/test/test_fasttext.py | 15 + gensim/test/test_utils.py | 247 +- 10 files changed, 2544 insertions(+), 2466 deletions(-) create mode 100644 gensim/models/stdint_wrapper.h create mode 100644 gensim/test/test_data/fb-ngrams.txt diff --git a/gensim/models/_fasttext_bin.py b/gensim/models/_fasttext_bin.py index 31d85c5074..ab88dbffda 100644 --- a/gensim/models/_fasttext_bin.py +++ b/gensim/models/_fasttext_bin.py @@ -79,6 +79,49 @@ def _yield_field_names(): _FIELD_NAMES = sorted(set(_yield_field_names())) Model = collections.namedtuple('Model', _FIELD_NAMES) +"""Holds data loaded from the Facebook binary. + +Fields +------ +dim : int + The dimensionality of the vectors. +ws : int + The window size. +epoch : int + The number of training epochs. +neg : int + If non-zero, indicates that the model uses negative sampling. +loss : int + If equal to 1, indicates that the model uses hierarchical sampling. +model : int + If equal to 2, indicates that the model uses skip-grams. +bucket : int + The number of buckets. +min_count : int + The threshold below which the model ignores terms. +t : float + The sample threshold. +minn : int + The minimum ngram length. +maxn : int + The maximum ngram length. +raw_vocab : collections.OrderedDict + A map from words (str) to their frequency (int). The order in the dict + corresponds to the order of the words in the Facebook binary. +nwords : int + The number of words. +vocab_size : int + The size of the vocabulary. +vectors_ngrams : numpy.array + This is a matrix that contains vectors learned by the model. + Each row corresponds to a vector. + The number of vectors is equal to the number of words plus the number of buckets. + The number of columns is equal to the vector dimensionality. +hidden_output : numpy.array + This is a matrix that contains the shallow neural network output. + This array has the same dimensions as vectors_ngrams. + May be None - in that case, it is impossible to continue training the model. +""" def _struct_unpack(fin, fmt): @@ -177,7 +220,7 @@ def _load_matrix(fin, new_format=True): return matrix -def load(fin, encoding='utf-8'): +def load(fin, encoding='utf-8', full_model=True): """Load a model from a binary stream. Parameters @@ -186,6 +229,9 @@ def load(fin, encoding='utf-8'): The readable binary stream. encoding : str, optional The encoding to use for decoding text + full_model : boolean, optional + If False, skips loading the hidden output matrix. This saves a fair bit + of CPU time and RAM, but prevents training continuation. Returns ------- @@ -209,10 +255,12 @@ def load(fin, encoding='utf-8'): vectors_ngrams = _load_matrix(fin, new_format=new_format) - hidden_output = _load_matrix(fin, new_format=new_format) - model.update(vectors_ngrams=vectors_ngrams, hidden_output=hidden_output) - - assert fin.read() == b'', 'expected to reach EOF' + if not full_model: + hidden_output = None + else: + hidden_output = _load_matrix(fin, new_format=new_format) + assert fin.read() == b'', 'expected to reach EOF' + model.update(vectors_ngrams=vectors_ngrams, hidden_output=hidden_output) model = {k: v for k, v in model.items() if k in _FIELD_NAMES} return Model(**model) diff --git a/gensim/models/_utils_any2vec.c b/gensim/models/_utils_any2vec.c index c42dd6ef33..1e21639afa 100644 --- a/gensim/models/_utils_any2vec.c +++ b/gensim/models/_utils_any2vec.c @@ -608,6 +608,7 @@ static CYTHON_INLINE float __PYX_NAN() { #define __PYX_HAVE__gensim__models___utils_any2vec #define __PYX_HAVE_API__gensim__models___utils_any2vec /* Early includes */ +#include "stdint_wrapper.h" #include #include #include "numpy/arrayobject.h" @@ -843,11 +844,10 @@ static const char *__pyx_filename; static const char *__pyx_f[] = { "gensim/models/_utils_any2vec.pyx", "__init__.pxd", - "stringsource", "type.pxd", }; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -856,7 +856,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -865,7 +865,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -874,7 +874,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -883,7 +883,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -892,7 +892,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -901,7 +901,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -910,7 +910,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -919,7 +919,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -928,7 +928,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -937,7 +937,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -946,7 +946,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -955,7 +955,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -964,7 +964,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -973,7 +973,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -982,7 +982,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -991,7 +991,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1000,7 +1000,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1009,7 +1009,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1018,7 +1018,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1027,7 +1027,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1061,9 +1061,8 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do /*--- Type declarations ---*/ -struct __pyx_obj___pyx_scope_struct____Pyx_CFunc_object____object___to_py; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1072,7 +1071,7 @@ struct __pyx_obj___pyx_scope_struct____Pyx_CFunc_object____object___to_py; */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1081,7 +1080,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1090,7 +1089,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -1099,19 +1098,6 @@ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; */ typedef npy_cdouble __pyx_t_5numpy_complex_t; -/* "cfunc.to_py":64 - * - * @cname("__Pyx_CFunc_object____object___to_py") - * cdef object __Pyx_CFunc_object____object___to_py(object (*f)(object) ): # <<<<<<<<<<<<<< - * def wrap(object b): - * """wrap(b)""" - */ -struct __pyx_obj___pyx_scope_struct____Pyx_CFunc_object____object___to_py { - PyObject_HEAD - PyObject *(*__pyx_v_f)(PyObject *); -}; - - /* --- Runtime support code (head) --- */ /* Refnanny.proto */ #ifndef CYTHON_REFNANNY @@ -1186,6 +1172,16 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject /* GetBuiltinName.proto */ static PyObject *__Pyx_GetBuiltinName(PyObject *name); +/* ArgTypeTest.proto */ +#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ + ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\ + __Pyx__ArgTypeTest(obj, type, name, exact)) +static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); + +/* unicode_iter.proto */ +static CYTHON_INLINE int __Pyx_init_unicode_iteration( + PyObject* ustring, Py_ssize_t *length, void** data, int *kind); + /* UnicodeAsUCS4.proto */ static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject*); @@ -1198,85 +1194,6 @@ static CYTHON_INLINE Py_UCS4 __Pyx_PyUnicode_AsPy_UCS4(PyObject*); #endif static long __Pyx__PyObject_Ord(PyObject* c); -/* GetModuleGlobalName.proto */ -#if CYTHON_USE_DICT_VERSIONS -#define __Pyx_GetModuleGlobalName(var, name) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ - (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ - __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ - PY_UINT64_T __pyx_dict_version;\ - PyObject *__pyx_dict_cached_value;\ - (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); -#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) -#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); -#endif - -/* PyCFunctionFastCall.proto */ -#if CYTHON_FAST_PYCCALL -static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs); -#else -#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL) -#endif - -/* PyFunctionFastCall.proto */ -#if CYTHON_FAST_PYCALL -#define __Pyx_PyFunction_FastCall(func, args, nargs)\ - __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL) -#if 1 || PY_VERSION_HEX < 0x030600B1 -static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs); -#else -#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs) -#endif -#define __Pyx_BUILD_ASSERT_EXPR(cond)\ - (sizeof(char [1 - 2*!(cond)]) - 1) -#ifndef Py_MEMBER_SIZE -#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) -#endif - static size_t __pyx_pyframe_localsplus_offset = 0; - #include "frameobject.h" - #define __Pxy_PyFrame_Initialize_Offsets()\ - ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ - (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) - #define __Pyx_PyFrame_GetLocalsplus(frame)\ - (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) -#endif - -/* PyObjectCall.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); -#else -#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) -#endif - -/* PyObjectCall2Args.proto */ -static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); - -/* PyObjectCallMethO.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); -#endif - -/* PyObjectCallOneArg.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); - -/* ArgTypeTest.proto */ -#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ - ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\ - __Pyx__ArgTypeTest(obj, type, name, exact)) -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); - -/* unicode_iter.proto */ -static CYTHON_INLINE int __Pyx_init_unicode_iteration( - PyObject* ustring, Py_ssize_t *length, void** data, int *kind); - /* PyObjectFormatSimple.proto */ #if CYTHON_COMPILING_IN_PYPY #define __Pyx_PyObject_FormatSimple(s, f) (\ @@ -1306,6 +1223,13 @@ static CYTHON_INLINE int __Pyx_init_unicode_iteration( static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, Py_UCS4 max_char); +/* PyObjectCall.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); +#else +#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) +#endif + /* PyIntBinop.proto */ #if !CYTHON_COMPILING_IN_PYPY static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace); @@ -1347,6 +1271,47 @@ static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\ PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\ const char* function_name); +/* PyCFunctionFastCall.proto */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs); +#else +#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL) +#endif + +/* PyFunctionFastCall.proto */ +#if CYTHON_FAST_PYCALL +#define __Pyx_PyFunction_FastCall(func, args, nargs)\ + __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL) +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs); +#else +#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs) +#endif +#define __Pyx_BUILD_ASSERT_EXPR(cond)\ + (sizeof(char [1 - 2*!(cond)]) - 1) +#ifndef Py_MEMBER_SIZE +#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) +#endif + static size_t __pyx_pyframe_localsplus_offset = 0; + #include "frameobject.h" + #define __Pxy_PyFrame_Initialize_Offsets()\ + ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ + (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) + #define __Pyx_PyFrame_GetLocalsplus(frame)\ + (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) +#endif + +/* PyObjectCall2Args.proto */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); + +/* PyObjectCallMethO.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); +#endif + +/* PyObjectCallOneArg.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); + /* PyThreadStateGet.proto */ #if CYTHON_FAST_THREAD_STATE #define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate; @@ -1441,70 +1406,6 @@ static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); #endif -/* FetchCommonType.proto */ -static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type); - -/* CythonFunction.proto */ -#define __Pyx_CyFunction_USED 1 -#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 -#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 -#define __Pyx_CYFUNCTION_CCLASS 0x04 -#define __Pyx_CyFunction_GetClosure(f)\ - (((__pyx_CyFunctionObject *) (f))->func_closure) -#define __Pyx_CyFunction_GetClassObj(f)\ - (((__pyx_CyFunctionObject *) (f))->func_classobj) -#define __Pyx_CyFunction_Defaults(type, f)\ - ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) -#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ - ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) -typedef struct { - PyCFunctionObject func; -#if PY_VERSION_HEX < 0x030500A0 - PyObject *func_weakreflist; -#endif - PyObject *func_dict; - PyObject *func_name; - PyObject *func_qualname; - PyObject *func_doc; - PyObject *func_globals; - PyObject *func_code; - PyObject *func_closure; - PyObject *func_classobj; - void *defaults; - int defaults_pyobjects; - int flags; - PyObject *defaults_tuple; - PyObject *defaults_kwdict; - PyObject *(*defaults_getter)(PyObject *); - PyObject *func_annotations; -} __pyx_CyFunctionObject; -static PyTypeObject *__pyx_CyFunctionType = 0; -#define __Pyx_CyFunction_Check(obj) (__Pyx_TypeCheck(obj, __pyx_CyFunctionType)) -#define __Pyx_CyFunction_NewEx(ml, flags, qualname, self, module, globals, code)\ - __Pyx_CyFunction_New(__pyx_CyFunctionType, ml, flags, qualname, self, module, globals, code) -static PyObject *__Pyx_CyFunction_New(PyTypeObject *, PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *self, - PyObject *module, PyObject *globals, - PyObject* code); -static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m, - size_t size, - int pyobjects); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, - PyObject *tuple); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, - PyObject *dict); -static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, - PyObject *dict); -static int __pyx_CyFunction_init(void); - -/* PyObject_GenericGetAttrNoDict.proto */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name); -#else -#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr -#endif - /* TypeImport.proto */ #ifndef __PYX_HAVE_RT_ImportType_proto #define __PYX_HAVE_RT_ImportType_proto @@ -1549,7 +1450,7 @@ static void __Pyx_AddTraceback(const char *funcname, int c_line, int py_line, const char *filename); /* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_uint32_t(uint32_t value); /* CIntToPy.proto */ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_int(unsigned int value); @@ -1661,9 +1562,18 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES v /* CIntFromPy.proto */ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *); +/* CIntFromPy.proto */ +static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); + +/* CIntFromPy.proto */ +static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *); + /* CIntFromPy.proto */ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); + /* CIntFromPy.proto */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); @@ -1717,13 +1627,12 @@ static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ /* Module declarations from 'gensim.models._utils_any2vec' */ -static PyTypeObject *__pyx_ptype___pyx_scope_struct____Pyx_CFunc_object____object___to_py = 0; -static PyObject *__pyx_f_6gensim_6models_14_utils_any2vec__byte_to_int_py3(PyObject *); /*proto*/ -static PyObject *__pyx_f_6gensim_6models_14_utils_any2vec__byte_to_int_py2(PyObject *); /*proto*/ -static PyObject *__pyx_f_6gensim_6models_14_utils_any2vec_ft_hash(PyObject *, int __pyx_skip_dispatch); /*proto*/ +static unsigned char __pyx_v_6gensim_6models_14_utils_any2vec__MB_MASK; +static unsigned char __pyx_v_6gensim_6models_14_utils_any2vec__MB_START; +static PyObject *__pyx_f_6gensim_6models_14_utils_any2vec_ft_hash_bytes(PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_6gensim_6models_14_utils_any2vec_ft_hash_broken(PyObject *, int __pyx_skip_dispatch); /*proto*/ static PyObject *__pyx_f_6gensim_6models_14_utils_any2vec_compute_ngrams(PyObject *, unsigned int, unsigned int, int __pyx_skip_dispatch); /*proto*/ -static PyObject *__Pyx_CFunc_object____object___to_py(PyObject *(*)(PyObject *)); /*proto*/ +static PyObject *__pyx_f_6gensim_6models_14_utils_any2vec_compute_ngrams_bytes(PyObject *, unsigned int, unsigned int, int __pyx_skip_dispatch); /*proto*/ #define __Pyx_MODULE_NAME "gensim.models._utils_any2vec" extern int __pyx_module_is_main_gensim__models___utils_any2vec; int __pyx_module_is_main_gensim__models___utils_any2vec = 0; @@ -1734,32 +1643,27 @@ static PyObject *__pyx_builtin_ValueError; static PyObject *__pyx_builtin_RuntimeError; static PyObject *__pyx_builtin_ImportError; static const char __pyx_k_[] = "<"; -static const char __pyx_k_b[] = "b"; +static const char __pyx_k_s[] = "<%s>"; static const char __pyx_k__2[] = ">"; static const char __pyx_k_np[] = "np"; static const char __pyx_k_PY2[] = "PY2"; static const char __pyx_k_six[] = "six"; -static const char __pyx_k_int8[] = "int8"; static const char __pyx_k_main[] = "__main__"; static const char __pyx_k_name[] = "__name__"; static const char __pyx_k_test[] = "__test__"; static const char __pyx_k_word[] = "word"; -static const char __pyx_k_wrap[] = "wrap"; static const char __pyx_k_max_n[] = "max_n"; static const char __pyx_k_min_n[] = "min_n"; static const char __pyx_k_numpy[] = "numpy"; static const char __pyx_k_range[] = "range"; +static const char __pyx_k_utf_8[] = "utf-8"; +static const char __pyx_k_encode[] = "encode"; static const char __pyx_k_import[] = "__import__"; -static const char __pyx_k_uint32[] = "uint32"; static const char __pyx_k_ValueError[] = "ValueError"; static const char __pyx_k_ImportError[] = "ImportError"; -static const char __pyx_k_byte_to_int[] = "_byte_to_int"; -static const char __pyx_k_cfunc_to_py[] = "cfunc.to_py"; static const char __pyx_k_RuntimeError[] = "RuntimeError"; -static const char __pyx_k_stringsource[] = "stringsource"; static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; -static const char __pyx_k_Pyx_CFunc_object____object___t[] = "__Pyx_CFunc_object____object___to_py..wrap"; static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import"; static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; @@ -1774,16 +1678,12 @@ static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; static PyObject *__pyx_n_s_ImportError; static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; static PyObject *__pyx_n_s_PY2; -static PyObject *__pyx_n_s_Pyx_CFunc_object____object___t; static PyObject *__pyx_n_s_RuntimeError; static PyObject *__pyx_n_s_ValueError; static PyObject *__pyx_kp_u__2; -static PyObject *__pyx_n_s_b; -static PyObject *__pyx_n_s_byte_to_int; -static PyObject *__pyx_n_s_cfunc_to_py; static PyObject *__pyx_n_s_cline_in_traceback; +static PyObject *__pyx_n_s_encode; static PyObject *__pyx_n_s_import; -static PyObject *__pyx_n_s_int8; static PyObject *__pyx_n_s_main; static PyObject *__pyx_n_s_max_n; static PyObject *__pyx_n_s_min_n; @@ -1795,23 +1695,20 @@ static PyObject *__pyx_n_s_numpy; static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to; 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- /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -3021,7 +3077,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -3033,7 +3089,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -3042,7 +3098,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -3052,7 +3108,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -3062,7 +3118,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -3072,7 +3128,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -3083,7 +3139,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -3092,7 +3148,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -3101,7 +3157,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -3110,7 +3166,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -3119,7 +3175,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -3132,7 +3188,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -3145,7 +3201,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -3155,7 +3211,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -3165,7 +3221,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -3185,7 +3241,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -3202,7 +3258,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -3211,7 +3267,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -3224,7 +3280,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -3233,7 +3289,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -3246,7 +3302,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -3257,7 +3313,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -3268,7 +3324,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -3279,7 +3335,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -3290,7 +3346,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -3301,7 +3357,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -3312,7 +3368,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -3323,7 +3379,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -3334,7 +3390,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -3345,7 +3401,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -3356,7 +3412,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -3367,7 +3423,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -3378,7 +3434,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -3389,7 +3445,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -3400,7 +3456,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -3411,7 +3467,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -3422,7 +3478,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -3443,7 +3499,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -3452,7 +3508,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -3462,7 +3518,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -3471,7 +3527,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -3481,7 +3537,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -3490,7 +3546,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -3499,7 +3555,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -3509,7 +3565,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -3519,7 +3575,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -3551,7 +3607,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -3575,7 +3631,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -3585,7 +3641,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -3594,7 +3650,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -3603,7 +3659,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -3613,7 +3669,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -3622,7 +3678,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -3631,7 +3687,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -3643,7 +3699,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -3657,7 +3713,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; 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} -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -3981,7 +4037,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -3990,7 +4046,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -3999,7 +4055,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -4022,7 +4078,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -4039,7 +4095,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -4074,7 +4130,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -4091,7 +4147,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -4104,7 +4160,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; 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__pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -4159,7 +4215,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -4172,7 +4228,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -4181,7 +4237,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -4197,7 +4253,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -4206,7 +4262,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -4215,7 +4271,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -4226,7 +4282,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -4236,7 +4292,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -4246,7 +4302,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -4258,7 +4314,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -4268,7 +4324,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -4281,7 +4337,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -4290,7 +4346,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -4308,7 +4364,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -4326,7 +4382,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -4344,7 +4400,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -4362,7 +4418,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -4380,7 +4436,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -4398,7 +4454,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -4416,7 +4472,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -4434,7 +4490,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -4452,7 +4508,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -4470,7 +4526,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -4488,7 +4544,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -4506,7 +4562,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -4524,7 +4580,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -4544,7 +4600,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -4564,7 +4620,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -4584,7 +4640,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -4602,7 +4658,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -4621,7 +4677,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -4630,7 +4686,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -4640,7 +4696,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -4653,7 +4709,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -4663,7 +4719,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -4673,7 +4729,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -4698,7 +4754,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -4710,7 +4766,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -4719,7 +4775,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -4728,7 +4784,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -4740,7 +4796,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -4755,7 +4811,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -4764,7 +4820,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -4774,7 +4830,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -4785,7 +4841,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -4794,7 +4850,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -4806,7 +4862,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); 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/*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -4867,7 +4923,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -4881,7 +4937,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -4896,7 +4952,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); 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- if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectCall2Args */ -static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { - PyObject *args, *result = NULL; - #if CYTHON_FAST_PYCALL - if (PyFunction_Check(function)) { - PyObject *args[2] = {arg1, arg2}; - return __Pyx_PyFunction_FastCall(function, args, 2); - } - #endif - #if CYTHON_FAST_PYCCALL - if (__Pyx_PyFastCFunction_Check(function)) { - PyObject *args[2] = {arg1, arg2}; - return __Pyx_PyCFunction_FastCall(function, args, 2); - } - #endif - args = PyTuple_New(2); - if (unlikely(!args)) goto done; - Py_INCREF(arg1); - PyTuple_SET_ITEM(args, 0, arg1); - Py_INCREF(arg2); - PyTuple_SET_ITEM(args, 1, arg2); - Py_INCREF(function); - result = __Pyx_PyObject_Call(function, args, NULL); - Py_DECREF(args); - Py_DECREF(function); -done: - return result; -} - -/* PyObjectCallMethO */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { - PyObject *self, *result; - PyCFunction cfunc; - cfunc = PyCFunction_GET_FUNCTION(func); - self = PyCFunction_GET_SELF(func); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = cfunc(self, arg); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectCallOneArg */ -#if CYTHON_COMPILING_IN_CPYTHON -static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *result; - PyObject *args = PyTuple_New(1); - if (unlikely(!args)) return NULL; - Py_INCREF(arg); - PyTuple_SET_ITEM(args, 0, arg); - result = __Pyx_PyObject_Call(func, args, NULL); - Py_DECREF(args); - return result; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { -#if CYTHON_FAST_PYCALL - if (PyFunction_Check(func)) { - return __Pyx_PyFunction_FastCall(func, &arg, 1); - } -#endif - if (likely(PyCFunction_Check(func))) { - if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { - return __Pyx_PyObject_CallMethO(func, arg); -#if CYTHON_FAST_PYCCALL - } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) { - return __Pyx_PyCFunction_FastCall(func, &arg, 1); -#endif - } - } - return __Pyx__PyObject_CallOneArg(func, arg); -} -#else -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *result; - PyObject *args = PyTuple_Pack(1, arg); - if (unlikely(!args)) return NULL; - result = __Pyx_PyObject_Call(func, args, NULL); - Py_DECREF(args); - return result; -} -#endif - -/* ArgTypeTest */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) -{ - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - else if (exact) { - #if PY_MAJOR_VERSION == 2 - if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; - #endif - } - else { - if (likely(__Pyx_TypeCheck(obj, type))) return 1; - } - PyErr_Format(PyExc_TypeError, - "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)", - name, type->tp_name, Py_TYPE(obj)->tp_name); - return 0; -} - -/* unicode_iter */ -static CYTHON_INLINE int __Pyx_init_unicode_iteration( - PyObject* ustring, Py_ssize_t *length, void** data, int *kind) { -#if CYTHON_PEP393_ENABLED - if (unlikely(__Pyx_PyUnicode_READY(ustring) < 0)) return -1; - *kind = PyUnicode_KIND(ustring); - *length = PyUnicode_GET_LENGTH(ustring); - *data = PyUnicode_DATA(ustring); -#else - *kind = 0; - *length = PyUnicode_GET_SIZE(ustring); - *data = (void*)PyUnicode_AS_UNICODE(ustring); -#endif - return 0; -} - -/* JoinPyUnicode */ -static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength, - CYTHON_UNUSED Py_UCS4 max_char) { -#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - PyObject *result_uval; - int result_ukind; - Py_ssize_t i, char_pos; - void *result_udata; -#if CYTHON_PEP393_ENABLED - result_uval = PyUnicode_New(result_ulength, max_char); - if (unlikely(!result_uval)) return NULL; - result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND; - result_udata = PyUnicode_DATA(result_uval); -#else - result_uval = PyUnicode_FromUnicode(NULL, result_ulength); - if (unlikely(!result_uval)) return NULL; - result_ukind = sizeof(Py_UNICODE); - result_udata = PyUnicode_AS_UNICODE(result_uval); -#endif - char_pos = 0; - for (i=0; i < value_count; i++) { - int ukind; - Py_ssize_t ulength; - void *udata; - PyObject *uval = PyTuple_GET_ITEM(value_tuple, i); - if (unlikely(__Pyx_PyUnicode_READY(uval))) - goto bad; - ulength = __Pyx_PyUnicode_GET_LENGTH(uval); - if (unlikely(!ulength)) - continue; - if (unlikely(char_pos + ulength < 0)) - goto overflow; - ukind = __Pyx_PyUnicode_KIND(uval); - udata = __Pyx_PyUnicode_DATA(uval); - if (!CYTHON_PEP393_ENABLED || ukind == result_ukind) { - memcpy((char *)result_udata + char_pos * result_ukind, udata, (size_t) (ulength * result_ukind)); - } else { - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030300F0 || defined(_PyUnicode_FastCopyCharacters) - _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength); - #else - Py_ssize_t j; - for (j=0; j < ulength; j++) { - Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j); - __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar); - } - #endif - } - char_pos += ulength; - } - return result_uval; -overflow: - PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string"); -bad: - Py_DECREF(result_uval); - return NULL; -#else - result_ulength++; - value_count++; - return PyUnicode_Join(__pyx_empty_unicode, value_tuple); -#endif -} - /* PyIntBinop */ #if !CYTHON_COMPILING_IN_PYPY static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { @@ -6790,26 +6328,257 @@ static int __Pyx_ParseOptionalKeywords( goto invalid_keyword; } } - return 0; -arg_passed_twice: - __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - goto bad; -invalid_keyword: - PyErr_Format(PyExc_TypeError, - #if PY_MAJOR_VERSION < 3 - "%.200s() got an unexpected keyword argument '%.200s'", - function_name, PyString_AsString(key)); - #else - "%s() got an unexpected keyword argument '%U'", - function_name, key); - #endif -bad: - return -1; + return 0; +arg_passed_twice: + __Pyx_RaiseDoubleKeywordsError(function_name, key); + goto bad; +invalid_keyword_type: + PyErr_Format(PyExc_TypeError, + "%.200s() keywords must be strings", function_name); + goto bad; +invalid_keyword: + PyErr_Format(PyExc_TypeError, + #if PY_MAJOR_VERSION < 3 + "%.200s() got an unexpected keyword argument '%.200s'", + function_name, PyString_AsString(key)); + #else + "%s() got an unexpected keyword argument '%U'", + function_name, key); + #endif +bad: + return -1; +} + +/* PyCFunctionFastCall */ +#if CYTHON_FAST_PYCCALL +static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { + PyCFunctionObject *func = (PyCFunctionObject*)func_obj; + PyCFunction meth = PyCFunction_GET_FUNCTION(func); + PyObject *self = PyCFunction_GET_SELF(func); + int flags = PyCFunction_GET_FLAGS(func); + assert(PyCFunction_Check(func)); + assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); + assert(nargs >= 0); + assert(nargs == 0 || args != NULL); + /* _PyCFunction_FastCallDict() must not be called with an exception set, + because it may clear it (directly or indirectly) and so the + caller loses its exception */ + assert(!PyErr_Occurred()); + if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { + return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); + } else { + return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); + } +} +#endif + +/* PyFunctionFastCall */ +#if CYTHON_FAST_PYCALL +static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, + PyObject *globals) { + PyFrameObject *f; + PyThreadState *tstate = __Pyx_PyThreadState_Current; + PyObject **fastlocals; + Py_ssize_t i; + PyObject *result; + assert(globals != NULL); + /* XXX Perhaps we should create a specialized + PyFrame_New() that doesn't take locals, but does + take builtins without sanity checking them. + */ + assert(tstate != NULL); + f = PyFrame_New(tstate, co, globals, NULL); + if (f == NULL) { + return NULL; + } + fastlocals = __Pyx_PyFrame_GetLocalsplus(f); + for (i = 0; i < na; i++) { + Py_INCREF(*args); + fastlocals[i] = *args++; + } + result = PyEval_EvalFrameEx(f,0); + ++tstate->recursion_depth; + Py_DECREF(f); + --tstate->recursion_depth; + return result; +} +#if 1 || PY_VERSION_HEX < 0x030600B1 +static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) { + PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); + PyObject *globals = PyFunction_GET_GLOBALS(func); + PyObject *argdefs = PyFunction_GET_DEFAULTS(func); + PyObject *closure; +#if PY_MAJOR_VERSION >= 3 + PyObject *kwdefs; +#endif + PyObject *kwtuple, **k; + PyObject **d; + Py_ssize_t nd; + Py_ssize_t nk; + PyObject *result; + assert(kwargs == NULL || PyDict_Check(kwargs)); + nk = kwargs ? PyDict_Size(kwargs) : 0; + if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { + return NULL; + } + if ( +#if PY_MAJOR_VERSION >= 3 + co->co_kwonlyargcount == 0 && +#endif + likely(kwargs == NULL || nk == 0) && + co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { + if (argdefs == NULL && co->co_argcount == nargs) { + result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); + goto done; + } + else if (nargs == 0 && argdefs != NULL + && co->co_argcount == Py_SIZE(argdefs)) { + /* function called with no arguments, but all parameters have + a default value: use default values as arguments .*/ + args = &PyTuple_GET_ITEM(argdefs, 0); + result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); + goto done; + } + } + if (kwargs != NULL) { + Py_ssize_t pos, i; + kwtuple = PyTuple_New(2 * nk); + if (kwtuple == NULL) { + result = NULL; + goto done; + } + k = &PyTuple_GET_ITEM(kwtuple, 0); + pos = i = 0; + while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { + Py_INCREF(k[i]); + Py_INCREF(k[i+1]); + i += 2; + } + nk = i / 2; + } + else { + kwtuple = NULL; + k = NULL; + } + closure = PyFunction_GET_CLOSURE(func); +#if PY_MAJOR_VERSION >= 3 + kwdefs = PyFunction_GET_KW_DEFAULTS(func); +#endif + if (argdefs != NULL) { + d = &PyTuple_GET_ITEM(argdefs, 0); + nd = Py_SIZE(argdefs); + } + else { + d = NULL; + nd = 0; + } +#if PY_MAJOR_VERSION >= 3 + result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, + args, nargs, + k, (int)nk, + d, (int)nd, kwdefs, closure); +#else + result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, + args, nargs, + k, (int)nk, + d, (int)nd, closure); +#endif + Py_XDECREF(kwtuple); +done: + Py_LeaveRecursiveCall(); + return result; +} +#endif +#endif + +/* PyObjectCall2Args */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { + PyObject *args, *result = NULL; + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyFunction_FastCall(function, args, 2); + } + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyCFunction_FastCall(function, args, 2); + } + #endif + args = PyTuple_New(2); + if (unlikely(!args)) goto done; + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 0, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 1, arg2); + Py_INCREF(function); + result = __Pyx_PyObject_Call(function, args, NULL); + Py_DECREF(args); + Py_DECREF(function); +done: + return result; +} + +/* PyObjectCallMethO */ +#if CYTHON_COMPILING_IN_CPYTHON +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { + PyObject *self, *result; + PyCFunction cfunc; + cfunc = PyCFunction_GET_FUNCTION(func); + self = PyCFunction_GET_SELF(func); + if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) + return NULL; + result = cfunc(self, arg); + Py_LeaveRecursiveCall(); + if (unlikely(!result) && unlikely(!PyErr_Occurred())) { + PyErr_SetString( + PyExc_SystemError, + "NULL result without error in PyObject_Call"); + } + return result; +} +#endif + +/* PyObjectCallOneArg */ +#if CYTHON_COMPILING_IN_CPYTHON +static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_New(1); + if (unlikely(!args)) return NULL; + Py_INCREF(arg); + PyTuple_SET_ITEM(args, 0, arg); + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { +#if CYTHON_FAST_PYCALL + if (PyFunction_Check(func)) { + return __Pyx_PyFunction_FastCall(func, &arg, 1); + } +#endif + if (likely(PyCFunction_Check(func))) { + if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { + return __Pyx_PyObject_CallMethO(func, arg); +#if CYTHON_FAST_PYCCALL + } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) { + return __Pyx_PyCFunction_FastCall(func, &arg, 1); +#endif + } + } + return __Pyx__PyObject_CallOneArg(func, arg); } +#else +static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { + PyObject *result; + PyObject *args = PyTuple_Pack(1, arg); + if (unlikely(!args)) return NULL; + result = __Pyx_PyObject_Call(func, args, NULL); + Py_DECREF(args); + return result; +} +#endif /* PyErrFetchRestore */ #if CYTHON_FAST_THREAD_STATE @@ -7173,711 +6942,36 @@ static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { _PyErr_StackItem *exc_info = tstate->exc_info; tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = local_type; - exc_info->exc_value = local_value; - exc_info->exc_traceback = local_tb; - } - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = local_type; - tstate->exc_value = local_value; - tstate->exc_traceback = local_tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#else - PyErr_SetExcInfo(local_type, local_value, local_tb); -#endif - return 0; -bad: - *type = 0; - *value = 0; - *tb = 0; - Py_XDECREF(local_type); - Py_XDECREF(local_value); - Py_XDECREF(local_tb); - return -1; -} - -/* FetchCommonType */ -static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { - PyObject* fake_module; - PyTypeObject* cached_type = NULL; - fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI); - if (!fake_module) return NULL; - Py_INCREF(fake_module); - cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name); - if (cached_type) { - if (!PyType_Check((PyObject*)cached_type)) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s is not a type object", - type->tp_name); - goto bad; - } - if (cached_type->tp_basicsize != type->tp_basicsize) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s has the wrong size, try recompiling", - type->tp_name); - goto bad; - } - } else { - if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; - PyErr_Clear(); - if (PyType_Ready(type) < 0) goto bad; - if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0) - goto bad; - Py_INCREF(type); - cached_type = type; - } -done: - Py_DECREF(fake_module); - return cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} - -/* CythonFunction */ -#include -static PyObject * -__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure) -{ - if (unlikely(op->func_doc == NULL)) { - if (op->func.m_ml->ml_doc) { -#if PY_MAJOR_VERSION >= 3 - op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc); -#else - op->func_doc = PyString_FromString(op->func.m_ml->ml_doc); -#endif - if (unlikely(op->func_doc == NULL)) - return NULL; - } else { - Py_INCREF(Py_None); - return Py_None; - } - } - Py_INCREF(op->func_doc); - return op->func_doc; -} -static int -__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) -{ - PyObject *tmp = op->func_doc; - if (value == NULL) { - value = Py_None; - } - Py_INCREF(value); - op->func_doc = value; - Py_XDECREF(tmp); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) -{ - if (unlikely(op->func_name == NULL)) { -#if PY_MAJOR_VERSION >= 3 - op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name); -#else - op->func_name = PyString_InternFromString(op->func.m_ml->ml_name); -#endif - if (unlikely(op->func_name == NULL)) - return NULL; - } - Py_INCREF(op->func_name); - return op->func_name; -} -static int -__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) -{ - PyObject *tmp; -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__name__ must be set to a string object"); - return -1; - } - tmp = op->func_name; - Py_INCREF(value); - op->func_name = value; - Py_XDECREF(tmp); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) -{ - Py_INCREF(op->func_qualname); - return op->func_qualname; -} -static int -__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) -{ - PyObject *tmp; -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__qualname__ must be set to a string object"); - return -1; - } - tmp = op->func_qualname; - Py_INCREF(value); - op->func_qualname = value; - Py_XDECREF(tmp); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure) -{ - PyObject *self; - self = m->func_closure; - if (self == NULL) - self = Py_None; - Py_INCREF(self); - return self; -} -static PyObject * -__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) -{ - if (unlikely(op->func_dict == NULL)) { - op->func_dict = PyDict_New(); - if (unlikely(op->func_dict == NULL)) - return NULL; - } - Py_INCREF(op->func_dict); - return op->func_dict; -} -static int -__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context) -{ - PyObject *tmp; - if (unlikely(value == NULL)) { - PyErr_SetString(PyExc_TypeError, - "function's dictionary may not be deleted"); - return -1; - } - if (unlikely(!PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "setting function's dictionary to a non-dict"); - return -1; - } - tmp = op->func_dict; - Py_INCREF(value); - op->func_dict = value; - Py_XDECREF(tmp); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) -{ - Py_INCREF(op->func_globals); - return op->func_globals; -} -static PyObject * -__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) -{ - Py_INCREF(Py_None); - return Py_None; -} -static PyObject * -__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) -{ - PyObject* result = (op->func_code) ? op->func_code : Py_None; - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { - int result = 0; - PyObject *res = op->defaults_getter((PyObject *) op); - if (unlikely(!res)) - return -1; - #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - op->defaults_tuple = PyTuple_GET_ITEM(res, 0); - Py_INCREF(op->defaults_tuple); - op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); - Py_INCREF(op->defaults_kwdict); - #else - op->defaults_tuple = PySequence_ITEM(res, 0); - if (unlikely(!op->defaults_tuple)) result = -1; - else { - op->defaults_kwdict = PySequence_ITEM(res, 1); - if (unlikely(!op->defaults_kwdict)) result = -1; - } - #endif - Py_DECREF(res); - return result; -} -static int -__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { - PyObject* tmp; - if (!value) { - value = Py_None; - } else if (value != Py_None && !PyTuple_Check(value)) { - PyErr_SetString(PyExc_TypeError, - "__defaults__ must be set to a tuple object"); - return -1; - } - Py_INCREF(value); - tmp = op->defaults_tuple; - op->defaults_tuple = value; - Py_XDECREF(tmp); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { - PyObject* result = op->defaults_tuple; - if (unlikely(!result)) { - if (op->defaults_getter) { - if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; - result = op->defaults_tuple; - } else { - result = Py_None; - } - } - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { - PyObject* tmp; - if (!value) { - value = Py_None; - } else if (value != Py_None && !PyDict_Check(value)) { - PyErr_SetString(PyExc_TypeError, - "__kwdefaults__ must be set to a dict object"); - return -1; - } - Py_INCREF(value); - tmp = op->defaults_kwdict; - op->defaults_kwdict = value; - Py_XDECREF(tmp); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { - PyObject* result = op->defaults_kwdict; - if (unlikely(!result)) { - if (op->defaults_getter) { - if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL; - result = op->defaults_kwdict; - } else { - result = Py_None; - } - } - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) { - PyObject* tmp; - if (!value || value == Py_None) { - value = NULL; - } else if (!PyDict_Check(value)) { - PyErr_SetString(PyExc_TypeError, - "__annotations__ must be set to a dict object"); - return -1; - } - Py_XINCREF(value); - tmp = op->func_annotations; - op->func_annotations = value; - Py_XDECREF(tmp); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) { - PyObject* result = op->func_annotations; - if (unlikely(!result)) { - result = PyDict_New(); - if (unlikely(!result)) return NULL; - op->func_annotations = result; - } - Py_INCREF(result); - return result; -} -static PyGetSetDef __pyx_CyFunction_getsets[] = { - {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, - {(char *) "__doc__", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0}, - {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, - {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0}, - {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0}, - {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0}, - {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, - {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0}, - {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, - {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0}, - {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, - {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0}, - {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, - {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0}, - {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, - {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0}, - {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0}, - {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0}, - {0, 0, 0, 0, 0} -}; -static PyMemberDef __pyx_CyFunction_members[] = { - {(char *) "__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0}, - {0, 0, 0, 0, 0} -}; -static PyObject * -__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args) -{ -#if PY_MAJOR_VERSION >= 3 - return PyUnicode_FromString(m->func.m_ml->ml_name); -#else - return PyString_FromString(m->func.m_ml->ml_name); -#endif -} -static PyMethodDef __pyx_CyFunction_methods[] = { - {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0}, - {0, 0, 0, 0} -}; -#if PY_VERSION_HEX < 0x030500A0 -#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist) -#else -#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist) -#endif -static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname, - PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) { - __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type); - if (op == NULL) - return NULL; - op->flags = flags; - __Pyx_CyFunction_weakreflist(op) = NULL; - op->func.m_ml = ml; - op->func.m_self = (PyObject *) op; - Py_XINCREF(closure); - op->func_closure = closure; - Py_XINCREF(module); - op->func.m_module = module; - op->func_dict = NULL; - op->func_name = NULL; - Py_INCREF(qualname); - op->func_qualname = qualname; - op->func_doc = NULL; - op->func_classobj = NULL; - op->func_globals = globals; - Py_INCREF(op->func_globals); - Py_XINCREF(code); - op->func_code = code; - op->defaults_pyobjects = 0; - op->defaults = NULL; - op->defaults_tuple = NULL; - op->defaults_kwdict = NULL; - op->defaults_getter = NULL; - op->func_annotations = NULL; - PyObject_GC_Track(op); - return (PyObject *) op; -} -static int -__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m) -{ - Py_CLEAR(m->func_closure); - Py_CLEAR(m->func.m_module); - Py_CLEAR(m->func_dict); - Py_CLEAR(m->func_name); - Py_CLEAR(m->func_qualname); - Py_CLEAR(m->func_doc); - Py_CLEAR(m->func_globals); - Py_CLEAR(m->func_code); - Py_CLEAR(m->func_classobj); - Py_CLEAR(m->defaults_tuple); - Py_CLEAR(m->defaults_kwdict); - Py_CLEAR(m->func_annotations); - if (m->defaults) { - PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); - int i; - for (i = 0; i < m->defaults_pyobjects; i++) - Py_XDECREF(pydefaults[i]); - PyObject_Free(m->defaults); - m->defaults = NULL; - } - return 0; -} -static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m) -{ - if (__Pyx_CyFunction_weakreflist(m) != NULL) - PyObject_ClearWeakRefs((PyObject *) m); - __Pyx_CyFunction_clear(m); - PyObject_GC_Del(m); -} -static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m) -{ - PyObject_GC_UnTrack(m); - __Pyx__CyFunction_dealloc(m); -} -static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) -{ - Py_VISIT(m->func_closure); - Py_VISIT(m->func.m_module); - Py_VISIT(m->func_dict); - Py_VISIT(m->func_name); - Py_VISIT(m->func_qualname); - Py_VISIT(m->func_doc); - Py_VISIT(m->func_globals); - Py_VISIT(m->func_code); - Py_VISIT(m->func_classobj); - Py_VISIT(m->defaults_tuple); - Py_VISIT(m->defaults_kwdict); - if (m->defaults) { - PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); - int i; - for (i = 0; i < m->defaults_pyobjects; i++) - Py_VISIT(pydefaults[i]); - } - return 0; -} -static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type) -{ - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) { - Py_INCREF(func); - return func; - } - if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) { - if (type == NULL) - type = (PyObject *)(Py_TYPE(obj)); - return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type))); - } - if (obj == Py_None) - obj = NULL; - return __Pyx_PyMethod_New(func, obj, type); -} -static PyObject* -__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) -{ -#if PY_MAJOR_VERSION >= 3 - return PyUnicode_FromFormat("", - op->func_qualname, (void *)op); -#else - return PyString_FromFormat("", - PyString_AsString(op->func_qualname), (void *)op); -#endif -} -static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) { - PyCFunctionObject* f = (PyCFunctionObject*)func; - PyCFunction meth = f->m_ml->ml_meth; - Py_ssize_t size; - switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) { - case METH_VARARGS: - if (likely(kw == NULL || PyDict_Size(kw) == 0)) - return (*meth)(self, arg); - break; - case METH_VARARGS | METH_KEYWORDS: - return (*(PyCFunctionWithKeywords)(void*)meth)(self, arg, kw); - case METH_NOARGS: - if (likely(kw == NULL || PyDict_Size(kw) == 0)) { - size = PyTuple_GET_SIZE(arg); - if (likely(size == 0)) - return (*meth)(self, NULL); - PyErr_Format(PyExc_TypeError, - "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)", - f->m_ml->ml_name, size); - return NULL; - } - break; - case METH_O: - if (likely(kw == NULL || PyDict_Size(kw) == 0)) { - size = PyTuple_GET_SIZE(arg); - if (likely(size == 1)) { - PyObject *result, *arg0; - #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - arg0 = PyTuple_GET_ITEM(arg, 0); - #else - arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL; - #endif - result = (*meth)(self, arg0); - #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) - Py_DECREF(arg0); - #endif - return result; - } - PyErr_Format(PyExc_TypeError, - "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)", - f->m_ml->ml_name, size); - return NULL; - } - break; - default: - PyErr_SetString(PyExc_SystemError, "Bad call flags in " - "__Pyx_CyFunction_Call. METH_OLDARGS is no " - "longer supported!"); - return NULL; - } - PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments", - f->m_ml->ml_name); - return NULL; -} -static CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) { - return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw); -} -static PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) { - PyObject *result; - __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func; - if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) { - Py_ssize_t argc; - PyObject *new_args; - PyObject *self; - argc = PyTuple_GET_SIZE(args); - new_args = PyTuple_GetSlice(args, 1, argc); - if (unlikely(!new_args)) - return NULL; - self = PyTuple_GetItem(args, 0); - if (unlikely(!self)) { - Py_DECREF(new_args); - return NULL; - } - result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw); - Py_DECREF(new_args); - } else { - result = __Pyx_CyFunction_Call(func, args, kw); - } - return result; -} -static PyTypeObject __pyx_CyFunctionType_type = { - PyVarObject_HEAD_INIT(0, 0) - "cython_function_or_method", - sizeof(__pyx_CyFunctionObject), - 0, - (destructor) __Pyx_CyFunction_dealloc, - 0, - 0, - 0, -#if PY_MAJOR_VERSION < 3 - 0, -#else - 0, -#endif - (reprfunc) __Pyx_CyFunction_repr, - 0, - 0, - 0, - 0, - __Pyx_CyFunction_CallAsMethod, - 0, - 0, - 0, - 0, - Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, - 0, - (traverseproc) __Pyx_CyFunction_traverse, - (inquiry) __Pyx_CyFunction_clear, - 0, -#if PY_VERSION_HEX < 0x030500A0 - offsetof(__pyx_CyFunctionObject, func_weakreflist), -#else - offsetof(PyCFunctionObject, m_weakreflist), -#endif - 0, - 0, - __pyx_CyFunction_methods, - __pyx_CyFunction_members, - __pyx_CyFunction_getsets, - 0, - 0, - __Pyx_CyFunction_descr_get, - 0, - offsetof(__pyx_CyFunctionObject, func_dict), - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, -#if PY_VERSION_HEX >= 0x030400a1 - 0, -#endif -}; -static int __pyx_CyFunction_init(void) { - __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type); - if (unlikely(__pyx_CyFunctionType == NULL)) { - return -1; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = local_type; + exc_info->exc_value = local_value; + exc_info->exc_traceback = local_tb; } - return 0; -} -static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults = PyObject_Malloc(size); - if (unlikely(!m->defaults)) - return PyErr_NoMemory(); - memset(m->defaults, 0, size); - m->defaults_pyobjects = pyobjects; - return m->defaults; -} -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults_tuple = tuple; - Py_INCREF(tuple); -} -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->defaults_kwdict = dict; - Py_INCREF(dict); -} -static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) { - __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func; - m->func_annotations = dict; - Py_INCREF(dict); -} - -/* PyObject_GenericGetAttrNoDict */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 -static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) { - PyErr_Format(PyExc_AttributeError, -#if PY_MAJOR_VERSION >= 3 - "'%.50s' object has no attribute '%U'", - tp->tp_name, attr_name); + #else + tmp_type = tstate->exc_type; + tmp_value = tstate->exc_value; + tmp_tb = tstate->exc_traceback; + tstate->exc_type = local_type; + tstate->exc_value = local_value; + tstate->exc_traceback = local_tb; + #endif + Py_XDECREF(tmp_type); + Py_XDECREF(tmp_value); + Py_XDECREF(tmp_tb); #else - "'%.50s' object has no attribute '%.400s'", - tp->tp_name, PyString_AS_STRING(attr_name)); + PyErr_SetExcInfo(local_type, local_value, local_tb); #endif - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) { - PyObject *descr; - PyTypeObject *tp = Py_TYPE(obj); - if (unlikely(!PyString_Check(attr_name))) { - return PyObject_GenericGetAttr(obj, attr_name); - } - assert(!tp->tp_dictoffset); - descr = _PyType_Lookup(tp, attr_name); - if (unlikely(!descr)) { - return __Pyx_RaiseGenericGetAttributeError(tp, attr_name); - } - Py_INCREF(descr); - #if PY_MAJOR_VERSION < 3 - if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS))) - #endif - { - descrgetfunc f = Py_TYPE(descr)->tp_descr_get; - if (unlikely(f)) { - PyObject *res = f(descr, obj, (PyObject *)tp); - Py_DECREF(descr); - return res; - } - } - return descr; + return 0; +bad: + *type = 0; + *value = 0; + *tb = 0; + Py_XDECREF(local_type); + Py_XDECREF(local_value); + Py_XDECREF(local_tb); + return -1; } -#endif /* TypeImport */ #ifndef __PYX_HAVE_RT_ImportType @@ -8249,24 +7343,24 @@ static void __Pyx_AddTraceback(const char *funcname, int c_line, } /* CIntToPy */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { - const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_uint32_t(uint32_t value) { + const uint32_t neg_one = (uint32_t) ((uint32_t) 0 - (uint32_t) 1), const_zero = (uint32_t) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { + if (sizeof(uint32_t) < sizeof(long)) { return PyInt_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { + } else if (sizeof(uint32_t) <= sizeof(unsigned long)) { return PyLong_FromUnsignedLong((unsigned long) value); #ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + } else if (sizeof(uint32_t) <= sizeof(unsigned PY_LONG_LONG)) { return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); #endif } } else { - if (sizeof(long) <= sizeof(long)) { + if (sizeof(uint32_t) <= sizeof(long)) { return PyInt_FromLong((long) value); #ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + } else if (sizeof(uint32_t) <= sizeof(PY_LONG_LONG)) { return PyLong_FromLongLong((PY_LONG_LONG) value); #endif } @@ -8274,7 +7368,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { { int one = 1; int little = (int)*(unsigned char *)&one; unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(long), + return _PyLong_FromByteArray(bytes, sizeof(uint32_t), little, !is_unsigned); } } @@ -8643,59 +7737,437 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { #endif } } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(int), - little, !is_unsigned); - } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(int), + little, !is_unsigned); + } +} + +/* CIntToPy */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { + const enum NPY_TYPES neg_one = (enum NPY_TYPES) ((enum NPY_TYPES) 0 - (enum NPY_TYPES) 1), const_zero = (enum NPY_TYPES) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(enum NPY_TYPES) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(enum NPY_TYPES) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), + little, !is_unsigned); + } +} + +/* CIntFromPy */ +static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { + const unsigned int neg_one = (unsigned int) ((unsigned int) 0 - (unsigned int) 1), const_zero = (unsigned int) 0; + const int is_unsigned = neg_one > const_zero; +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(unsigned int) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(unsigned int, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (unsigned int) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (unsigned int) 0; + case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, digits[0]) + case 2: + if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) >= 2 * PyLong_SHIFT) { + return (unsigned int) (((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) >= 3 * PyLong_SHIFT) { + return (unsigned int) (((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) >= 4 * PyLong_SHIFT) { + return (unsigned int) (((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (unsigned int) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(unsigned int) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned long, PyLong_AsUnsignedLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(unsigned int) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) +#endif + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (unsigned int) 0; + case -1: __PYX_VERIFY_RETURN_INT(unsigned int, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, +digits[0]) + case -2: + if (8 * sizeof(unsigned int) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { + return (unsigned int) (((unsigned int)-1)*(((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { + return (unsigned int) ((((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { + return (unsigned int) (((unsigned int)-1)*(((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { + return (unsigned int) ((((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { + return (unsigned int) (((unsigned int)-1)*(((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { + return (unsigned int) ((((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + } + } + break; + } +#endif + if (sizeof(unsigned int) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(unsigned int, long, PyLong_AsLong(x)) +#ifdef HAVE_LONG_LONG + } else if (sizeof(unsigned int) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(unsigned int, PY_LONG_LONG, PyLong_AsLongLong(x)) +#endif + } + } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + unsigned int val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (unsigned int) -1; + } + } else { + unsigned int val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (unsigned int) -1; + val = __Pyx_PyInt_As_unsigned_int(tmp); + Py_DECREF(tmp); + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to unsigned int"); + return (unsigned int) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to unsigned int"); + return (unsigned int) -1; } -/* CIntToPy */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { - const enum NPY_TYPES neg_one = (enum NPY_TYPES) ((enum NPY_TYPES) 0 - (enum NPY_TYPES) 1), const_zero = (enum NPY_TYPES) 0; +/* CIntFromPy */ +static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { + const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0; const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(enum NPY_TYPES) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); +#if PY_MAJOR_VERSION < 3 + if (likely(PyInt_Check(x))) { + if (sizeof(char) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x)) + } else { + long val = PyInt_AS_LONG(x); + if (is_unsigned && unlikely(val < 0)) { + goto raise_neg_overflow; + } + return (char) val; + } + } else +#endif + if (likely(PyLong_Check(x))) { + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0]) + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) { + return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) { + return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) { + return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])); + } + } + break; + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (char) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if (sizeof(char) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x)) #ifdef HAVE_LONG_LONG - } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); + } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) #endif - } - } else { - if (sizeof(enum NPY_TYPES) <= sizeof(long)) { - return PyInt_FromLong((long) value); + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + const digit* digits = ((PyLongObject*)x)->ob_digit; + switch (Py_SIZE(x)) { + case 0: return (char) 0; + case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0]) + case -2: + if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 2: + if (8 * sizeof(char) > 1 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -3: + if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 3: + if (8 * sizeof(char) > 2 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case -4: + if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + case 4: + if (8 * sizeof(char) > 3 * PyLong_SHIFT) { + if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { + __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) { + return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]))); + } + } + break; + } +#endif + if (sizeof(char) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x)) #ifdef HAVE_LONG_LONG - } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); + } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x)) #endif + } } + { +#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) + PyErr_SetString(PyExc_RuntimeError, + "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); +#else + char val; + PyObject *v = __Pyx_PyNumber_IntOrLong(x); + #if PY_MAJOR_VERSION < 3 + if (likely(v) && !PyLong_Check(v)) { + PyObject *tmp = v; + v = PyNumber_Long(tmp); + Py_DECREF(tmp); + } + #endif + if (likely(v)) { + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + int ret = _PyLong_AsByteArray((PyLongObject *)v, + bytes, sizeof(val), + is_little, !is_unsigned); + Py_DECREF(v); + if (likely(!ret)) + return val; + } +#endif + return (char) -1; + } + } else { + char val; + PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); + if (!tmp) return (char) -1; + val = __Pyx_PyInt_As_char(tmp); + Py_DECREF(tmp); + return val; } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), - little, !is_unsigned); - } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to char"); + return (char) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to char"); + return (char) -1; } /* CIntFromPy */ -static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { - const unsigned int neg_one = (unsigned int) ((unsigned int) 0 - (unsigned int) 1), const_zero = (unsigned int) 0; +static CYTHON_INLINE size_t __Pyx_PyInt_As_size_t(PyObject *x) { + const size_t neg_one = (size_t) ((size_t) 0 - (size_t) 1), const_zero = (size_t) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { - if (sizeof(unsigned int) < sizeof(long)) { - __PYX_VERIFY_RETURN_INT(unsigned int, long, PyInt_AS_LONG(x)) + if (sizeof(size_t) < sizeof(long)) { + __PYX_VERIFY_RETURN_INT(size_t, long, PyInt_AS_LONG(x)) } else { long val = PyInt_AS_LONG(x); if (is_unsigned && unlikely(val < 0)) { goto raise_neg_overflow; } - return (unsigned int) val; + return (size_t) val; } } else #endif @@ -8704,32 +8176,32 @@ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { - case 0: return (unsigned int) 0; - case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, digits[0]) + case 0: return (size_t) 0; + case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, digits[0]) case 2: - if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) >= 2 * PyLong_SHIFT) { - return (unsigned int) (((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); + __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) >= 2 * PyLong_SHIFT) { + return (size_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 3: - if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) >= 3 * PyLong_SHIFT) { - return (unsigned int) (((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); + __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) >= 3 * PyLong_SHIFT) { + return (size_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; case 4: - if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) >= 4 * PyLong_SHIFT) { - return (unsigned int) (((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0])); + __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) >= 4 * PyLong_SHIFT) { + return (size_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); } } break; @@ -8743,86 +8215,86 @@ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { { int result = PyObject_RichCompareBool(x, Py_False, Py_LT); if (unlikely(result < 0)) - return (unsigned int) -1; + return (size_t) -1; if (unlikely(result == 1)) goto raise_neg_overflow; } #endif - if (sizeof(unsigned int) <= sizeof(unsigned long)) { - __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned long, PyLong_AsUnsignedLong(x)) + if (sizeof(size_t) <= sizeof(unsigned long)) { + __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned long, PyLong_AsUnsignedLong(x)) #ifdef HAVE_LONG_LONG - } else if (sizeof(unsigned int) <= sizeof(unsigned PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(unsigned int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) + } else if (sizeof(size_t) <= sizeof(unsigned PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(size_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) #endif } } else { #if CYTHON_USE_PYLONG_INTERNALS const digit* digits = ((PyLongObject*)x)->ob_digit; switch (Py_SIZE(x)) { - case 0: return (unsigned int) 0; - case -1: __PYX_VERIFY_RETURN_INT(unsigned int, sdigit, (sdigit) (-(sdigit)digits[0])) - case 1: __PYX_VERIFY_RETURN_INT(unsigned int, digit, +digits[0]) + case 0: return (size_t) 0; + case -1: __PYX_VERIFY_RETURN_INT(size_t, sdigit, (sdigit) (-(sdigit)digits[0])) + case 1: __PYX_VERIFY_RETURN_INT(size_t, digit, +digits[0]) case -2: - if (8 * sizeof(unsigned int) - 1 > 1 * PyLong_SHIFT) { + if (8 * sizeof(size_t) - 1 > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { - return (unsigned int) (((unsigned int)-1)*(((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { + return (size_t) (((size_t)-1)*(((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 2: - if (8 * sizeof(unsigned int) > 1 * PyLong_SHIFT) { + if (8 * sizeof(size_t) > 1 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { - return (unsigned int) ((((((unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { + return (size_t) ((((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -3: - if (8 * sizeof(unsigned int) - 1 > 2 * PyLong_SHIFT) { + if (8 * sizeof(size_t) - 1 > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { - return (unsigned int) (((unsigned int)-1)*(((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { + return (size_t) (((size_t)-1)*(((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 3: - if (8 * sizeof(unsigned int) > 2 * PyLong_SHIFT) { + if (8 * sizeof(size_t) > 2 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { - return (unsigned int) ((((((((unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { + return (size_t) ((((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case -4: - if (8 * sizeof(unsigned int) - 1 > 3 * PyLong_SHIFT) { + if (8 * sizeof(size_t) - 1 > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { - return (unsigned int) (((unsigned int)-1)*(((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + __PYX_VERIFY_RETURN_INT(size_t, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { + return (size_t) (((size_t)-1)*(((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; case 4: - if (8 * sizeof(unsigned int) > 3 * PyLong_SHIFT) { + if (8 * sizeof(size_t) > 3 * PyLong_SHIFT) { if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(unsigned int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(unsigned int) - 1 > 4 * PyLong_SHIFT) { - return (unsigned int) ((((((((((unsigned int)digits[3]) << PyLong_SHIFT) | (unsigned int)digits[2]) << PyLong_SHIFT) | (unsigned int)digits[1]) << PyLong_SHIFT) | (unsigned int)digits[0]))); + __PYX_VERIFY_RETURN_INT(size_t, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if (8 * sizeof(size_t) - 1 > 4 * PyLong_SHIFT) { + return (size_t) ((((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]))); } } break; } #endif - if (sizeof(unsigned int) <= sizeof(long)) { - __PYX_VERIFY_RETURN_INT_EXC(unsigned int, long, PyLong_AsLong(x)) + if (sizeof(size_t) <= sizeof(long)) { + __PYX_VERIFY_RETURN_INT_EXC(size_t, long, PyLong_AsLong(x)) #ifdef HAVE_LONG_LONG - } else if (sizeof(unsigned int) <= sizeof(PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(unsigned int, PY_LONG_LONG, PyLong_AsLongLong(x)) + } else if (sizeof(size_t) <= sizeof(PY_LONG_LONG)) { + __PYX_VERIFY_RETURN_INT_EXC(size_t, PY_LONG_LONG, PyLong_AsLongLong(x)) #endif } } @@ -8831,7 +8303,7 @@ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { PyErr_SetString(PyExc_RuntimeError, "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); #else - unsigned int val; + size_t val; PyObject *v = __Pyx_PyNumber_IntOrLong(x); #if PY_MAJOR_VERSION < 3 if (likely(v) && !PyLong_Check(v)) { @@ -8851,24 +8323,24 @@ static CYTHON_INLINE unsigned int __Pyx_PyInt_As_unsigned_int(PyObject *x) { return val; } #endif - return (unsigned int) -1; + return (size_t) -1; } } else { - unsigned int val; + size_t val; PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (unsigned int) -1; - val = __Pyx_PyInt_As_unsigned_int(tmp); + if (!tmp) return (size_t) -1; + val = __Pyx_PyInt_As_size_t(tmp); Py_DECREF(tmp); return val; } raise_overflow: PyErr_SetString(PyExc_OverflowError, - "value too large to convert to unsigned int"); - return (unsigned int) -1; + "value too large to convert to size_t"); + return (size_t) -1; raise_neg_overflow: PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to unsigned int"); - return (unsigned int) -1; + "can't convert negative value to size_t"); + return (size_t) -1; } /* CIntFromPy */ @@ -9060,6 +8532,37 @@ static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { return (int) -1; } +/* CIntToPy */ +static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(long) < sizeof(long)) { + return PyInt_FromLong((long) value); + } else if (sizeof(long) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(long) <= sizeof(long)) { + return PyInt_FromLong((long) value); +#ifdef HAVE_LONG_LONG + } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); +#endif + } + } + { + int one = 1; int little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&value; + return _PyLong_FromByteArray(bytes, sizeof(long), + little, !is_unsigned); + } +} + /* CIntFromPy */ static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; diff --git a/gensim/models/_utils_any2vec.pyx b/gensim/models/_utils_any2vec.pyx index f27d7e400f..cc4ba9bbb4 100644 --- a/gensim/models/_utils_any2vec.pyx +++ b/gensim/models/_utils_any2vec.pyx @@ -7,29 +7,27 @@ """General functions used for any2vec models.""" +# +# This is here to support older versions of the MSVC compiler that don't have stdint.h. +# +cdef extern from "stdint_wrapper.h": + ctypedef unsigned int uint32_t + ctypedef signed char int8_t + from six import PY2 import numpy as np cimport numpy as np -cdef _byte_to_int_py3(b): - return b - -cdef _byte_to_int_py2(b): - return ord(b) - -_byte_to_int = _byte_to_int_py2 if PY2 else _byte_to_int_py3 - - -cpdef ft_hash(unicode string): - """Calculate hash based on `string`. +cpdef ft_hash_bytes(bytes bytez): + """Calculate hash based on `bytez`. Reproduce `hash method from Facebook fastText implementation `_. Parameters ---------- - string : unicode - The string whose hash needs to be calculated. + bytez : bytes + The string whose hash needs to be calculated, encoded as UTF-8. Returns ------- @@ -37,10 +35,12 @@ cpdef ft_hash(unicode string): The hash of the string. """ - cdef unsigned int h = 2166136261 - for c in string.encode("utf-8"): - h = np.uint32(h ^ np.uint32(np.int8(_byte_to_int(c)))) - h = np.uint32(h * np.uint32(16777619)) + cdef uint32_t h = 2166136261 + cdef char b + + for b in bytez: + h = h ^ (b) + h = h * 16777619 return h @@ -92,3 +92,56 @@ cpdef compute_ngrams(word, unsigned int min_n, unsigned int max_n): for i in range(0, len(extended_word) - ngram_length + 1): ngrams.append(extended_word[i:i + ngram_length]) return ngrams + +# +# UTF-8 bytes that begin with 10 are subsequent bytes of a multi-byte sequence, +# as opposed to a new character. +# +cdef unsigned char _MB_MASK = 0xC0 +cdef unsigned char _MB_START = 0x80 + + +cpdef compute_ngrams_bytes(word, unsigned int min_n, unsigned int max_n): + """Computes ngrams for a word. + + Ported from the original FB implementation. + + Parameters + ---------- + word : str + A unicode string. + min_n : unsigned int + The minimum ngram length. + max_n : unsigned int + The maximum ngram length. + + Returns: + -------- + list of str + A list of ngrams, where each ngram is a list of **bytes**. + + See Also + -------- + `Original implementation `__ + + """ + cdef bytes utf8_word = ('<%s>' % word).encode("utf-8") + cdef const unsigned char *bytez = utf8_word + cdef size_t num_bytes = len(utf8_word) + cdef size_t j, i, n + + ngrams = [] + for i in range(num_bytes): + if bytez[i] & _MB_MASK == _MB_START: + continue + + j, n = i, 1 + while j < num_bytes and n <= max_n: + j += 1 + while j < num_bytes and (bytez[j] & _MB_MASK) == _MB_START: + j += 1 + if n >= min_n and not (n == 1 and (i == 0 or j == num_bytes)): + ngram = bytes(bytez[i:j]) + ngrams.append(ngram) + n += 1 + return ngrams diff --git a/gensim/models/fasttext.py b/gensim/models/fasttext.py index 1b03268442..807ebec32d 100644 --- a/gensim/models/fasttext.py +++ b/gensim/models/fasttext.py @@ -98,7 +98,7 @@ from gensim.models.word2vec import Word2VecVocab, Word2VecTrainables, train_sg_pair, train_cbow_pair from gensim.models.keyedvectors import FastTextKeyedVectors from gensim.models.base_any2vec import BaseWordEmbeddingsModel -from gensim.models.utils_any2vec import _compute_ngrams, _ft_hash, _ft_hash_broken +from gensim.models.utils_any2vec import ft_ngram_hashes from smart_open import smart_open from gensim.utils import deprecated, call_on_class_only @@ -554,8 +554,6 @@ def _clear_post_train(self): self.wv.buckets_word = None def estimate_memory(self, vocab_size=None, report=None): - hash_fn = _ft_hash if self.wv.compatible_hash else _ft_hash_broken - vocab_size = vocab_size or len(self.wv.vocab) vec_size = self.vector_size * np.dtype(np.float32).itemsize l1_size = self.trainables.layer1_size * np.dtype(np.float32).itemsize @@ -574,9 +572,15 @@ def estimate_memory(self, vocab_size=None, report=None): buckets = set() num_ngrams = 0 for word in self.wv.vocab: - ngrams = _compute_ngrams(word, self.wv.min_n, self.wv.max_n) - num_ngrams += len(ngrams) - buckets.update(hash_fn(ng) % self.trainables.bucket for ng in ngrams) + hashes = ft_ngram_hashes( + word, + self.wv.min_n, + self.wv.max_n, + self.trainables.bucket, + self.wv.compatible_hash + ) + num_ngrams += len(hashes) + buckets.update(hashes) num_buckets = len(buckets) report['syn0_ngrams'] = num_buckets * vec_size # A tuple (48 bytes) with num_ngrams_word ints (8 bytes) for each word @@ -704,6 +708,14 @@ def train(self, sentences=None, corpus_file=None, total_examples=None, total_wor >>> model.train(sentences, total_examples=model.corpus_count, epochs=model.epochs) """ + cant_train = hasattr(self.trainables, 'syn1neg') and self.trainables.syn1neg is None + if cant_train: + raise ValueError( + 'this model cannot be trained any further, ' + 'if this is a native model, try loading it with ' + 'FastText.load_fasttext_format(path, full_model=True)' + ) + super(FastText, self).train( sentences=sentences, corpus_file=corpus_file, total_examples=total_examples, total_words=total_words, epochs=epochs, start_alpha=start_alpha, end_alpha=end_alpha, word_count=word_count, @@ -754,7 +766,7 @@ def __contains__(self, word): return self.wv.__contains__(word) @classmethod - def load_fasttext_format(cls, model_file, encoding='utf8'): + def load_fasttext_format(cls, model_file, encoding='utf8', full_model=True): """Load the input-hidden weight matrix from Facebook's native fasttext `.bin` and `.vec` output files. Notes @@ -770,6 +782,9 @@ def load_fasttext_format(cls, model_file, encoding='utf8'): as Gensim requires only `.bin` file to the load entire fastText model. encoding : str, optional Specifies the file encoding. + full_model : boolean, optional + If False, skips loading the hidden output matrix. This saves a fair bit + of CPU time and RAM, but prevents training continuation. Returns ------- @@ -777,7 +792,7 @@ def load_fasttext_format(cls, model_file, encoding='utf8'): The loaded model. """ - return _load_fasttext_format(model_file, encoding=encoding) + return _load_fasttext_format(model_file, encoding=encoding, full_model=full_model) def load_binary_data(self, encoding='utf8'): """Load data from a binary file created by Facebook's native FastText. @@ -959,7 +974,7 @@ def _pad_ones(m, new_shape): return vstack([m, suffix]) -def _load_fasttext_format(model_file, encoding='utf-8'): +def _load_fasttext_format(model_file, encoding='utf-8', full_model=True): """Load the input-hidden weight matrix from Facebook's native fasttext `.bin` and `.vec` output files. Parameters @@ -971,16 +986,20 @@ def _load_fasttext_format(model_file, encoding='utf-8'): as Gensim requires only `.bin` file to the load entire fastText model. encoding : str, optional Specifies the file encoding. + full_model : boolean, optional + If False, skips loading the hidden output matrix. This saves a fair bit + of CPU time and RAM, but prevents training continuation. Returns ------- :class: `~gensim.models.fasttext.FastText` The loaded model. + """ if not model_file.endswith('.bin'): model_file += '.bin' with smart_open(model_file, 'rb') as fin: - m = gensim.models._fasttext_bin.load(fin, encoding=encoding) + m = gensim.models._fasttext_bin.load(fin, encoding=encoding, full_model=full_model) model = FastText( size=m.dim, diff --git a/gensim/models/keyedvectors.py b/gensim/models/keyedvectors.py index 65711baec6..ff79212cea 100644 --- a/gensim/models/keyedvectors.py +++ b/gensim/models/keyedvectors.py @@ -182,9 +182,7 @@ from gensim.models.utils_any2vec import ( _save_word2vec_format, _load_word2vec_format, - _compute_ngrams, - _ft_hash, - _ft_hash_broken + ft_ngram_hashes, ) from gensim.similarities.termsim import TermSimilarityIndex, SparseTermSimilarityMatrix @@ -2029,9 +2027,8 @@ def __contains__(self, word): if word in self.vocab: return True else: - hash_fn = _ft_hash if self.compatible_hash else _ft_hash_broken - char_ngrams = _compute_ngrams(word, self.min_n, self.max_n) - return any(hash_fn(ng) % self.bucket in self.hash2index for ng in char_ngrams) + hashes = ft_ngram_hashes(word, self.min_n, self.max_n, self.bucket, self.compatible_hash) + return any(h in self.hash2index for h in hashes) def save(self, *args, **kwargs): """Save object. @@ -2073,23 +2070,18 @@ def word_vec(self, word, use_norm=False): If word and all ngrams not in vocabulary. """ - hash_fn = _ft_hash if self.compatible_hash else _ft_hash_broken - if word in self.vocab: return super(FastTextKeyedVectors, self).word_vec(word, use_norm) elif self.bucket == 0: raise KeyError('cannot calculate vector for OOV word without ngrams') else: - # from gensim.models.fasttext import compute_ngrams word_vec = np.zeros(self.vectors_ngrams.shape[1], dtype=np.float32) - ngrams = _compute_ngrams(word, self.min_n, self.max_n) if use_norm: ngram_weights = self.vectors_ngrams_norm else: ngram_weights = self.vectors_ngrams ngrams_found = 0 - for ngram in ngrams: - ngram_hash = hash_fn(ngram) % self.bucket + for ngram_hash in ft_ngram_hashes(word, self.min_n, self.max_n, self.bucket, self.compatible_hash): if ngram_hash in self.hash2index: word_vec += ngram_weights[self.hash2index[ngram_hash]] ngrams_found += 1 @@ -2147,7 +2139,7 @@ def init_ngrams_weights(self, seed): self.min_n, self.max_n, self.bucket, - _ft_hash if self.compatible_hash else _ft_hash_broken, + self.compatible_hash, self.hash2index ) self.num_ngram_vectors = len(ngram_indices) @@ -2170,7 +2162,7 @@ def update_ngrams_weights(self, seed, old_vocab_len): self.min_n, self.max_n, self.bucket, - _ft_hash if self.compatible_hash else _ft_hash_broken, + self.compatible_hash, self.hash2index ) num_new_ngrams = len(new_ngram_hashes) @@ -2232,7 +2224,7 @@ def init_post_load(self, vectors, match_gensim=False): self.min_n, self.max_n, self.bucket, - _ft_hash if self.compatible_hash else _ft_hash_broken, + self.compatible_hash, dict(), # we don't care what goes here in this case ) ngram_hashes = sorted(set(ngram_hashes)) @@ -2254,19 +2246,16 @@ def adjust_vectors(self): if self.bucket == 0: return - hash_fn = _ft_hash if self.compatible_hash else _ft_hash_broken - for w, v in self.vocab.items(): word_vec = np.copy(self.vectors_vocab[v.index]) - ngrams = _compute_ngrams(w, self.min_n, self.max_n) - for ngram in ngrams: - ngram_index = self.hash2index[hash_fn(ngram) % self.bucket] - word_vec += self.vectors_ngrams[ngram_index] - word_vec /= len(ngrams) + 1 + ngram_hashes = ft_ngram_hashes(w, self.min_n, self.max_n, self.bucket, self.compatible_hash) + for nh in ngram_hashes: + word_vec += self.vectors_ngrams[self.hash2index[nh]] + word_vec /= len(ngram_hashes) + 1 self.vectors[v.index] = word_vec -def _process_fasttext_vocab(iterable, min_n, max_n, num_buckets, hash_fn, hash2index): +def _process_fasttext_vocab(iterable, min_n, max_n, num_buckets, compatible_hash, hash2index): """ Performs a common operation for FastText weight initialization and updates: scan the vocabulary, calculate ngrams and their hashes, keep @@ -2283,8 +2272,9 @@ def _process_fasttext_vocab(iterable, min_n, max_n, num_buckets, hash_fn, hash2i The maximum length of ngrams. num_buckets : int The number of buckets used by the model. - hash_fn : callable - Used to hash ngrams to buckets. + compatible_hash : boolean + True for compatibility with the Facebook implementation. + False for compatibility with the old Gensim implementation. hash2index : dict Updated in-place. @@ -2310,8 +2300,7 @@ def _process_fasttext_vocab(iterable, min_n, max_n, num_buckets, hash_fn, hash2i for word, vocab in iterable: wi = [] - for ngram in _compute_ngrams(word, min_n, max_n): - ngram_hash = hash_fn(ngram) % num_buckets + for ngram_hash in ft_ngram_hashes(word, min_n, max_n, num_buckets, compatible_hash): if ngram_hash not in hash2index: # # This is a new ngram. Reserve a new index in hash2index. diff --git a/gensim/models/stdint_wrapper.h b/gensim/models/stdint_wrapper.h new file mode 100644 index 0000000000..0b9832dedf --- /dev/null +++ b/gensim/models/stdint_wrapper.h @@ -0,0 +1,19 @@ +/* + * This file is here to support older versions of the MSVC compiler that don't + * have stdint.h. + */ +#ifdef _MSC_VER + #ifndef _MSC_STDINT_H_ + #if _MSC_VER < 1300 + typedef unsigned char uint8_t; + typedef unsigned int uint32_t; + typedef char int8_t; + #else + typedef unsigned __int8 uint8_t; + typedef unsigned __int32 uint32_t; + typedef char int8_t; + #endif + #endif +#else + #include +#endif diff --git a/gensim/models/utils_any2vec.py b/gensim/models/utils_any2vec.py index 74d0effcff..88242c31ea 100644 --- a/gensim/models/utils_any2vec.py +++ b/gensim/models/utils_any2vec.py @@ -4,7 +4,26 @@ # Author: Shiva Manne # Copyright (C) 2018 RaRe Technologies s.r.o. -"""General functions used for any2vec models.""" +"""General functions used for any2vec models. + +One of the goals of this module is to provide an abstraction over the Cython +extensions for FastText. If they are not available, then the module substitutes +slower Python versions in their place. + +Another related set of FastText functionality is computing ngrams for a word. +The :py:func:`compute_ngrams` and :py:func:`compute_ngrams_bytes` hashes achieve that. + +Closely related is the functionality for hashing ngrams, implemented by the +:py:func:`ft_hash` and :py:func:`ft_hash_broken` functions. +The module exposes "working" and "broken" hash functions in order to maintain +backwards compatibility with older versions of Gensim. + +For compatibility with older Gensim, use :py:func:`compute_ngrams` and +:py:func:`ft_hash_broken` to has each ngram. For compatibility with the +current Facebook implementation, use :py:func:`compute_ngrams_bytes` and +:py:func:`ft_hash_bytes`. + +""" import logging import numpy as np @@ -18,6 +37,14 @@ logger = logging.getLogger(__name__) +# +# UTF-8 bytes that begin with 10 are subsequent bytes of a multi-byte sequence, +# as opposed to a new character. +# +_MB_MASK = 0xC0 +_MB_START = 0x80 + + def _byte_to_int_py3(b): return b @@ -29,19 +56,23 @@ def _byte_to_int_py2(b): _byte_to_int = _byte_to_int_py2 if PY2 else _byte_to_int_py3 +def _is_utf8_continue(b): + return _byte_to_int(b) & _MB_MASK == _MB_START + + # -# Define this here so we can unittest here. Only use this function if the -# faster C version fails to import. +# Define this here so we can unittest this function directly. +# Only use this function if the faster C version fails to import. # -def _ft_hash_py(string): - """Calculate hash based on `string`. +def _ft_hash_bytes_py(bytez): + """Calculate hash based on `bytez`. Reproduce `hash method from Facebook fastText implementation `_. Parameters ---------- - string : str - The string whose hash needs to be calculated. + bytez : bytes + The string whose hash needs to be calculated, encoded as UTF-8. Returns ------- @@ -51,14 +82,14 @@ def _ft_hash_py(string): """ old_settings = np.seterr(all='ignore') h = np.uint32(2166136261) - for c in string.encode('utf-8'): - h = h ^ np.uint32(np.int8(_byte_to_int(c))) + for b in bytez: + h = h ^ np.uint32(np.int8(_byte_to_int(b))) h = h * np.uint32(16777619) np.seterr(**old_settings) return h -def _ft_hash_py_broken(string): +def _ft_hash_broken_py(string): """Calculate hash based on `string`. Reproduce `hash method from Facebook fastText implementation `_. @@ -86,46 +117,133 @@ def _ft_hash_py_broken(string): return h +def _compute_ngrams_py(word, min_n, max_n): + """Get the list of all possible ngrams for a given word. + Parameters + ---------- + word : str + The word whose ngrams need to be computed. + min_n : int + Minimum character length of the ngrams. + max_n : int + Maximum character length of the ngrams. + Returns + ------- + list of str + Sequence of character ngrams. + """ + BOW, EOW = ('<', '>') # Used by FastText to attach to all words as prefix and suffix + extended_word = BOW + word + EOW + ngrams = [] + for ngram_length in range(min_n, min(len(extended_word), max_n) + 1): + for i in range(0, len(extended_word) - ngram_length + 1): + ngrams.append(extended_word[i:i + ngram_length]) + return ngrams + + +def _compute_ngrams_bytes_py(word, min_n, max_n): + """Computes ngrams for a word. + + Ported from the original FB implementation. + + Parameters + ---------- + word : str + A unicode string. + min_n : unsigned int + The minimum ngram length. + max_n : unsigned int + The maximum ngram length. + + Returns: + -------- + list of str + A list of ngrams, where each ngram is a list of **bytes**. + + See Also + -------- + `Original implementation `__ # noqa: E501 + + """ + utf8_word = ('<%s>' % word).encode("utf-8") + num_bytes = len(utf8_word) + n = 0 + + ngrams = [] + for i in range(num_bytes): + if _is_utf8_continue(utf8_word[i]): + continue + + j, n = i, 1 + while j < num_bytes and n <= max_n: + j += 1 + while j < num_bytes and _is_utf8_continue(utf8_word[j]): + j += 1 + if n >= min_n and not (n == 1 and (i == 0 or j == num_bytes)): + ngram = bytes(utf8_word[i:j]) + ngrams.append(ngram) + n += 1 + return ngrams + + +# +# Internally, we use the following convention to abstract away the presence +# or absence of the Cython extensions: +# +# - _function_cy: Imported from Cython extension +# - _function_py: Implemented in Python +# - function: Exported by this module. +# try: from gensim.models._utils_any2vec import ( - ft_hash as _ft_hash_cy, - ft_hash_broken as _ft_hash_cy_broken, - compute_ngrams as _compute_ngrams + compute_ngrams as _compute_ngrams_cy, + compute_ngrams_bytes as _compute_ngrams_bytes_cy, + ft_hash_broken as _ft_hash_broken_cy, + ft_hash_bytes as _ft_hash_bytes_cy, ) - _ft_hash = _ft_hash_cy - _ft_hash_broken = _ft_hash_cy_broken + ft_hash_bytes = _ft_hash_bytes_cy + ft_hash_broken = _ft_hash_broken_cy + compute_ngrams = _compute_ngrams_cy + compute_ngrams_bytes = _compute_ngrams_bytes_cy + FAST_VERSION = 0 except ImportError: + # failed... fall back to plain python FAST_VERSION = -1 + ft_hash_bytes = _ft_hash_bytes_py + ft_hash_broken = _ft_hash_broken_py + compute_ngrams = _compute_ngrams_py + compute_ngrams_bytes = _compute_ngrams_bytes_py - _ft_hash = _ft_hash_py - _ft_hash_broken = _ft_hash_py_broken - # failed... fall back to plain python - def _compute_ngrams(word, min_n, max_n): - """Get the list of all possible ngrams for a given word. +def ft_ngram_hashes(word, minn, maxn, num_buckets, fb_compatible=True): + """Calculate the ngrams of the word and hash them. - Parameters - ---------- - word : str - The word whose ngrams need to be computed. - min_n : int - Minimum character length of the ngrams. - max_n : int - Maximum character length of the ngrams. - - Returns - ------- - list of str - Sequence of character ngrams. + Parameters + ---------- + word : str + The word to calculate ngram hashes for. + minn : int + Minimum ngram length + maxn : int + Maximum ngram length + num_buckets : int + The number of buckets + fb_compatible : boolean, optional + True for compatibility with the Facebook implementation. + False for compatibility with the old Gensim implementation. - """ - BOW, EOW = ('<', '>') # Used by FastText to attach to all words as prefix and suffix - extended_word = BOW + word + EOW - ngrams = [] - for ngram_length in range(min_n, min(len(extended_word), max_n) + 1): - for i in range(0, len(extended_word) - ngram_length + 1): - ngrams.append(extended_word[i:i + ngram_length]) - return ngrams + Returns + ------- + A list of hashes (integers), one per each detected ngram. + + """ + if fb_compatible: + encoded_ngrams = compute_ngrams_bytes(word, minn, maxn) + hashes = [ft_hash_bytes(n) % num_buckets for n in encoded_ngrams] + else: + text_ngrams = compute_ngrams(word, minn, maxn) + hashes = [ft_hash_broken(n) % num_buckets for n in text_ngrams] + return hashes def _save_word2vec_format(fname, vocab, vectors, fvocab=None, binary=False, total_vec=None): diff --git a/gensim/test/test_data/fb-ngrams.txt b/gensim/test/test_data/fb-ngrams.txt new file mode 100644 index 0000000000..3296d85c6a --- /dev/null +++ b/gensim/test/test_data/fb-ngrams.txt @@ -0,0 +1,89 @@ + +test +test 0 0 0 0 0 + -0.058167 0.084801 -0.10452 0.085963 -0.14475 +tes 0.066033 0.011132 0.13224 0.19839 -0.037827 +test -0.12628 0.053912 0.051677 0.24844 0.083743 +test> -0.016497 0.1322 0.21391 0.20869 -0.044566 +est -0.12915 -0.02457 0.10145 0.23414 0.17121 +est> -0.1776 0.19906 -0.15572 0.16449 -0.12887 +st> -0.13712 0.028013 -0.041927 0.11244 0.12261 + + +at the +at the 0 0 0 0 0 + 0.17667 0.026172 -0.15457 0.081664 -0.1315 + th 0.1095 0.077397 0.052745 -0.043956 0.033436 + the -0.15504 0.11166 -0.16434 0.089162 -0.16199 + the> 0.097803 -0.054657 -0.028828 0.21607 0.11286 +the -0.046122 -0.071463 0.20759 0.25732 0.23174 +the> 0.04535 0.15192 -0.0021161 0.014343 0.12982 +he> -0.046122 -0.071463 0.20759 0.25732 0.23174 + + +atnthe +atnthe 0 0 0 0 0 + -0.065392 -0.085291 0.088378 0.024628 0.12715 +nth 0.067156 -0.068108 0.16394 0.18192 0.18902 +nthe 0.13526 -0.023216 -0.10788 0.24512 -0.022174 +nthe> -0.20296 -0.11805 0.20277 0.063027 -0.041727 +the -0.046122 -0.071463 0.20759 0.25732 0.23174 +the> 0.04535 0.15192 -0.0021161 0.014343 0.12982 +he> -0.046122 -0.071463 0.20759 0.25732 0.23174 + + +тест +тест 0 0 0 0 0 +<те -0.17079 -0.029842 0.10298 -0.12632 -0.14488 +<тес -0.026151 0.13071 0.20833 0.17143 0.040533 +<тест 0.17667 0.026172 -0.15457 0.081664 -0.1315 +<тест> -0.065392 -0.085291 0.088378 0.024628 0.12715 +тес -0.08172 -0.13699 0.14081 -0.036949 -0.037403 +тест -0.11209 0.068818 -0.137 -0.088165 0.13144 +тест> -0.20296 -0.11805 0.20277 0.063027 -0.041727 +ест -0.17079 -0.029842 0.10298 -0.12632 -0.14488 +ест> 0.16922 -0.1162 0.1462 0.1085 0.02952 +ст> -0.17261 0.086891 0.21772 0.10036 0.19114 + + +テスト +テスト 0 0 0 0 0 +<テス 0.066033 0.011132 0.13224 0.19839 -0.037827 +<テスト -0.12915 -0.02457 0.10145 0.23414 0.17121 +<テスト> -0.10241 0.0090735 0.097437 0.055768 0.03622 +テスト 0.048443 0.15183 -0.058779 -0.1095 0.10566 +テスト> -0.12628 0.053912 0.051677 0.24844 0.083743 +スト> 0.12972 0.18282 -0.18266 -0.072433 0.19318 + + +試し +試し 0 0 0 0 0 +<試し 0.1095 0.077397 0.052745 -0.043956 0.033436 +<試し> 0.11952 0.15093 -0.075759 0.18327 0.12471 +試し> -0.14656 0.072651 -0.16777 0.20026 0.21199 + diff --git a/gensim/test/test_fasttext.py b/gensim/test/test_fasttext.py index 67b035549b..5437a9b3c8 100644 --- a/gensim/test/test_fasttext.py +++ b/gensim/test/test_fasttext.py @@ -59,6 +59,21 @@ def setUp(self): self.test_model = FT_gensim.load_fasttext_format(self.test_model_file) self.test_new_model_file = datapath('lee_fasttext_new') + def test_native_partial_model(self): + """Can we skip loading the NN and still get a working model?""" + model = FT_gensim.load_fasttext_format(self.test_model_file, full_model=False) + + # + # Training continuation should be impossible + # + self.assertIsNone(model.trainables.syn1neg) + self.assertRaises(ValueError, model.train, sentences, + total_examples=model.corpus_count, epochs=model.epochs) + + model.wv['green'] + model.wv['foobar'] + model.wv['thisworddoesnotexist'] + def test_training(self): model = FT_gensim(size=10, min_count=1, hs=1, negative=0, seed=42, workers=1) model.build_vocab(sentences) diff --git a/gensim/test/test_utils.py b/gensim/test/test_utils.py index 74ca8b941f..c23087580f 100644 --- a/gensim/test/test_utils.py +++ b/gensim/test/test_utils.py @@ -6,8 +6,9 @@ """ Automated tests for checking various utils functions. """ +from __future__ import unicode_literals - +import sys import logging import unittest @@ -19,6 +20,8 @@ import gensim.models.utils_any2vec +import smart_open + DISABLE_CYTHON_TESTS = getattr(gensim.models.utils_any2vec, 'FAST_VERSION', None) == -1 @@ -269,12 +272,13 @@ def hash_main(alg): import six assert six.PY3, 'this only works under Py3' + assert not DISABLE_CYTHON_TESTS, 'this only works if Cython extensions available' hashmap = { - 'py': gensim.models.utils_any2vec._ft_hash_py, - 'py_broken': gensim.models.utils_any2vec._ft_hash_py_broken, - 'cy': gensim.models.utils_any2vec._ft_hash_py, - 'cy_broken': gensim.models.utils_any2vec._ft_hash_py_broken, + 'py_broken': gensim.models.utils_any2vec._ft_hash_broken_py, + 'py_bytes': gensim.models.utils_any2vec._ft_hash_bytes_py, + 'cy_broken': gensim.models.utils_any2vec._ft_hash_broken_py, + 'cy_bytes': gensim.models.utils_any2vec._ft_hash_bytes_cy, } try: fun = hashmap[alg] @@ -282,7 +286,11 @@ def hash_main(alg): raise KeyError('invalid alg: %r expected one of %r' % (alg, sorted(hashmap))) for line in sys.stdin: - for word in line.rstrip().split(' '): + if 'bytes' in alg: + words = line.encode('utf-8').rstrip().split(b' ') + else: + words = line.rstrip().split(' ') + for word in words: print('u%r: %r,' % (word, fun(word))) @@ -293,7 +301,7 @@ def setUp(self): # # $ echo word1 ... wordN | python -c 'from gensim.test.test_utils import hash_main;hash_main("alg")' # noqa: E501 # - # where alg is one of py, py_broken, cy, cy_broken. + # where alg is one of py_bytes, py_broken, cy_bytes, cy_broken. # self.expected = { @@ -330,24 +338,241 @@ def setUp(self): } def test_python(self): - actual = {k: gensim.models.utils_any2vec._ft_hash_py(k) for k in self.expected} + actual = {k: gensim.models.utils_any2vec._ft_hash_bytes_py(k.encode('utf-8')) for k in self.expected} self.assertEqual(self.expected, actual) @unittest.skipIf(DISABLE_CYTHON_TESTS, 'Cython functions are not properly compiled') def test_cython(self): - actual = {k: gensim.models.utils_any2vec._ft_hash_cy(k) for k in self.expected} + actual = {k: gensim.models.utils_any2vec._ft_hash_bytes_cy(k.encode('utf-8')) for k in self.expected} self.assertEqual(self.expected, actual) def test_python_broken(self): - actual = {k: gensim.models.utils_any2vec._ft_hash_py_broken(k) for k in self.expected} + actual = {k: gensim.models.utils_any2vec._ft_hash_broken_py(k) for k in self.expected} self.assertEqual(self.expected_broken, actual) @unittest.skipIf(DISABLE_CYTHON_TESTS, 'Cython functions are not properly compiled') def test_cython_broken(self): - actual = {k: gensim.models.utils_any2vec._ft_hash_cy_broken(k) for k in self.expected} + actual = {k: gensim.models.utils_any2vec._ft_hash_broken_cy(k) for k in self.expected} self.assertEqual(self.expected_broken, actual) +# +# Run with: +# +# python -c 'import gensim.test.test_utils as t;t.ngram_main()' py_text 3 5 +# +def ngram_main(): + """Generate ngrams for tests from standard input.""" + import sys + import six + + alg = sys.argv[1] + minn = int(sys.argv[2]) + maxn = int(sys.argv[3]) + + assert six.PY3, 'this only works under Py3' + assert not DISABLE_CYTHON_TESTS, 'this only works if Cython extensions available' + assert minn <= maxn, 'expected sane command-line parameters' + + hashmap = { + 'py_text': gensim.models.utils_any2vec._compute_ngrams_py, + 'py_bytes': gensim.models.utils_any2vec._compute_ngrams_bytes_py, + 'cy_text': gensim.models.utils_any2vec._compute_ngrams_cy, + 'cy_bytes': gensim.models.utils_any2vec._compute_ngrams_bytes_cy, + } + try: + fun = hashmap[alg] + except KeyError: + raise KeyError('invalid alg: %r expected one of %r' % (alg, sorted(hashmap))) + + for line in sys.stdin: + word = line.rstrip('\n') + ngrams = fun(word, minn, maxn) + print("%r: %r," % (word, ngrams)) + + +class NgramsTest(unittest.TestCase): + def setUp(self): + self.expected_text = { + 'test': ['', '', ''], + 'at the': [ + '', + '', '' + ], + 'at\nthe': [ + '', + '', '' + ], + 'тест': ['<те', 'тес', 'ест', 'ст>', '<тес', 'тест', 'ест>', '<тест', 'тест>'], + 'テスト': ['<テス', 'テスト', 'スト>', '<テスト', 'テスト>', '<テスト>'], + '試し': ['<試し', '試し>', '<試し>'], + } + self.expected_bytes = { + 'test': [b'', b'est', b'est>', b'st>'], + 'at the': [ + b'', b'the', b'the>', b'he>' + ], + 'тест': [ + b'<\xd1\x82\xd0\xb5', b'<\xd1\x82\xd0\xb5\xd1\x81', b'<\xd1\x82\xd0\xb5\xd1\x81\xd1\x82', + b'\xd1\x82\xd0\xb5\xd1\x81', b'\xd1\x82\xd0\xb5\xd1\x81\xd1\x82', b'\xd1\x82\xd0\xb5\xd1\x81\xd1\x82>', + b'\xd0\xb5\xd1\x81\xd1\x82', b'\xd0\xb5\xd1\x81\xd1\x82>', b'\xd1\x81\xd1\x82>' + ], + 'テスト': [ + b'<\xe3\x83\x86\xe3\x82\xb9', b'<\xe3\x83\x86\xe3\x82\xb9\xe3\x83\x88', + b'<\xe3\x83\x86\xe3\x82\xb9\xe3\x83\x88>', b'\xe3\x83\x86\xe3\x82\xb9\xe3\x83\x88', + b'\xe3\x83\x86\xe3\x82\xb9\xe3\x83\x88>', b'\xe3\x82\xb9\xe3\x83\x88>' + ], + '試し': [b'<\xe8\xa9\xa6\xe3\x81\x97', b'<\xe8\xa9\xa6\xe3\x81\x97>', b'\xe8\xa9\xa6\xe3\x81\x97>'], + } + + self.expected_text_wide_unicode = { + '🚑🚒🚓🚕': [ + '<🚑🚒', '🚑🚒🚓', '🚒🚓🚕', '🚓🚕>', + '<🚑🚒🚓', '🚑🚒🚓🚕', '🚒🚓🚕>', '<🚑🚒🚓🚕', '🚑🚒🚓🚕>' + ], + } + self.expected_bytes_wide_unicode = { + '🚑🚒🚓🚕': [ + b'<\xf0\x9f\x9a\x91\xf0\x9f\x9a\x92', + b'<\xf0\x9f\x9a\x91\xf0\x9f\x9a\x92\xf0\x9f\x9a\x93', + b'<\xf0\x9f\x9a\x91\xf0\x9f\x9a\x92\xf0\x9f\x9a\x93\xf0\x9f\x9a\x95', + b'\xf0\x9f\x9a\x91\xf0\x9f\x9a\x92\xf0\x9f\x9a\x93', + b'\xf0\x9f\x9a\x91\xf0\x9f\x9a\x92\xf0\x9f\x9a\x93\xf0\x9f\x9a\x95', + b'\xf0\x9f\x9a\x91\xf0\x9f\x9a\x92\xf0\x9f\x9a\x93\xf0\x9f\x9a\x95>', + b'\xf0\x9f\x9a\x92\xf0\x9f\x9a\x93\xf0\x9f\x9a\x95', + b'\xf0\x9f\x9a\x92\xf0\x9f\x9a\x93\xf0\x9f\x9a\x95>', + b'\xf0\x9f\x9a\x93\xf0\x9f\x9a\x95>' + ], + } + + def test_text_py(self): + for word in self.expected_text: + expected = self.expected_text[word] + actual = gensim.models.utils_any2vec._compute_ngrams_py(word, 3, 5) + self.assertEqual(expected, actual) + + @unittest.skipIf(sys.maxunicode == 0xffff, "Python interpreter doesn't support UCS-4 (wide unicode)") + def test_text_py_wide_unicode(self): + for word in self.expected_text_wide_unicode: + expected = self.expected_text_wide_unicode[word] + actual = gensim.models.utils_any2vec._compute_ngrams_py(word, 3, 5) + self.assertEqual(expected, actual) + + @unittest.skipIf(DISABLE_CYTHON_TESTS, 'Cython functions are not properly compiled') + def test_text_cy(self): + for word in self.expected_text: + expected = self.expected_text[word] + actual = gensim.models.utils_any2vec._compute_ngrams_cy(word, 3, 5) + self.assertEqual(expected, actual) + + @unittest.skipIf(DISABLE_CYTHON_TESTS, 'Cython functions are not properly compiled') + @unittest.skipIf(sys.maxunicode == 0xffff, "Python interpreter doesn't support UCS-4 (wide unicode)") + def test_text_cy_wide_unicode(self): + for word in self.expected_text_wide_unicode: + expected = self.expected_text_wide_unicode[word] + actual = gensim.models.utils_any2vec._compute_ngrams_cy(word, 3, 5) + self.assertEqual(expected, actual) + + def test_bytes_py(self): + for word in self.expected_bytes: + expected = self.expected_bytes[word] + actual = gensim.models.utils_any2vec._compute_ngrams_bytes_py(word, 3, 5) + self.assertEqual(expected, actual) + + expected_text = self.expected_text[word] + actual_text = [n.decode('utf-8') for n in actual] + # + # The text and byte implementations yield ngrams in different + # order, so the test ignores ngram order. + # + self.assertEqual(sorted(expected_text), sorted(actual_text)) + + for word in self.expected_bytes_wide_unicode: + expected = self.expected_bytes_wide_unicode[word] + actual = gensim.models.utils_any2vec._compute_ngrams_bytes_py(word, 3, 5) + self.assertEqual(expected, actual) + + expected_text = self.expected_text_wide_unicode[word] + actual_text = [n.decode('utf-8') for n in actual] + + self.assertEqual(sorted(expected_text), sorted(actual_text)) + + @unittest.skipIf(DISABLE_CYTHON_TESTS, 'Cython functions are not properly compiled') + def test_bytes_cy(self): + for word in self.expected_bytes: + expected = self.expected_bytes[word] + actual = gensim.models.utils_any2vec._compute_ngrams_bytes_cy(word, 3, 5) + self.assertEqual(expected, actual) + + expected_text = self.expected_text[word] + actual_text = [n.decode('utf-8') for n in actual] + self.assertEqual(sorted(expected_text), sorted(actual_text)) + + for word in self.expected_bytes_wide_unicode: + expected = self.expected_bytes_wide_unicode[word] + actual = gensim.models.utils_any2vec._compute_ngrams_bytes_cy(word, 3, 5) + self.assertEqual(expected, actual) + + expected_text = self.expected_text_wide_unicode[word] + actual_text = [n.decode('utf-8') for n in actual] + self.assertEqual(sorted(expected_text), sorted(actual_text)) + + def test_fb(self): + """Test against results from Facebook's implementation.""" + with smart_open.smart_open(datapath('fb-ngrams.txt'), 'r', encoding='utf-8') as fin: + fb = dict(_read_fb(fin)) + + for word, expected in fb.items(): + # + # The model was trained with minn=3, maxn=6 + # + actual = gensim.models.utils_any2vec._compute_ngrams_py(word, 3, 6) + self.assertEqual(sorted(expected), sorted(actual)) + + +def _read_fb(fin): + """Read ngrams from output of the FB utility.""" + # + # $ cat words.txt + # test + # at the + # at\nthe + # тест + # テスト + # 試し + # 🚑🚒🚓🚕 + # $ while read w; + # do + # echo ""; + # echo $w; + # ./fasttext print-ngrams gensim/test/test_data/crime-and-punishment.bin "$w"; + # echo ""; + # done < words.txt > gensim/test/test_data/fb-ngrams.txt + # + while fin: + line = fin.readline().rstrip() + if not line: + break + + assert line == '' + word = fin.readline().rstrip() + + fin.readline() # ignore this line, it contains an origin vector for the full term + + ngrams = [] + while True: + line = fin.readline().rstrip() + if line == '': + break + + columns = line.split(' ') + term = ' '.join(columns[:-5]) + ngrams.append(term) + + yield word, ngrams + + if __name__ == '__main__': logging.root.setLevel(logging.WARNING) unittest.main() From 0bc2ca69f9ec42d137db20b3d96df2d70dffe474 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADt=20Novotn=C3=BD?= Date: Sun, 27 Jan 2019 06:14:17 +0100 Subject: [PATCH 04/31] Fix WordEmbeddingsKeyedVectors.most_similar (#2356) * Make WordEmbeddingsKeyedVectors.most_similar(..topn=O) return empty list * Fix the example code for SoftCosineSimilarity * Retain undocumented WordEmbeddingsKeyedVectors.most_similar(..topn=None) --- gensim/models/keyedvectors.py | 5 ++++- gensim/similarities/docsim.py | 6 +++--- 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/gensim/models/keyedvectors.py b/gensim/models/keyedvectors.py index ff79212cea..7543dc19d1 100644 --- a/gensim/models/keyedvectors.py +++ b/gensim/models/keyedvectors.py @@ -511,6 +511,9 @@ def most_similar(self, positive=None, negative=None, topn=10, restrict_vocab=Non Sequence of (word, similarity). """ + if topn is not None and topn < 1: + return [] + if positive is None: positive = [] if negative is None: @@ -550,7 +553,7 @@ def most_similar(self, positive=None, negative=None, topn=10, restrict_vocab=Non limited = self.vectors_norm if restrict_vocab is None else self.vectors_norm[:restrict_vocab] dists = dot(limited, mean) - if not topn: + if topn is None: return dists best = matutils.argsort(dists, topn=topn + len(all_words), reverse=True) # ignore (don't return) words from the input diff --git a/gensim/similarities/docsim.py b/gensim/similarities/docsim.py index bb7b4f402b..10e061310a 100755 --- a/gensim/similarities/docsim.py +++ b/gensim/similarities/docsim.py @@ -866,13 +866,13 @@ class SoftCosineSimilarity(interfaces.SimilarityABC): >>> from gensim.test.utils import common_texts >>> from gensim.corpora import Dictionary >>> from gensim.models import Word2Vec, WordEmbeddingSimilarityIndex - >>> from gensim.similarities import SoftCosineSimilarity, TermSimilarityMatrix + >>> from gensim.similarities import SoftCosineSimilarity, SparseTermSimilarityMatrix >>> >>> model = Word2Vec(common_texts, size=20, min_count=1) # train word-vectors - >>> termsim_index = WordEmbeddingSimilarityIndex(model) + >>> termsim_index = WordEmbeddingSimilarityIndex(model.wv) >>> dictionary = Dictionary(common_texts) >>> bow_corpus = [dictionary.doc2bow(document) for document in common_texts] - >>> similarity_matrix = TermSimilarityMatrix(termsim_index, dictionary) # construct similarity matrix + >>> similarity_matrix = SparseTermSimilarityMatrix(termsim_index, dictionary) # construct similarity matrix >>> docsim_index = SoftCosineSimilarity(bow_corpus, similarity_matrix, num_best=10) >>> >>> query = 'graph trees computer'.split() # make a query From 179a2c170414c08e9f5d176203b5d86937bd67ef Mon Sep 17 00:00:00 2001 From: horpto <__Singleton__@hackerdom.ru> Date: Mon, 28 Jan 2019 07:42:37 +0500 Subject: [PATCH 05/31] Fix infinite diff in `LdaModel.do_mstep` (#2344) * Fix #416, #2051: Infinite diff in LdaModel.do_mstep * fix build --- gensim/models/ldamodel.py | 26 +++++++++++++++++++------- 1 file changed, 19 insertions(+), 7 deletions(-) diff --git a/gensim/models/ldamodel.py b/gensim/models/ldamodel.py index 503c2b48e3..786ec41c0b 100755 --- a/gensim/models/ldamodel.py +++ b/gensim/models/ldamodel.py @@ -594,9 +594,19 @@ def __str__(self): self.num_terms, self.num_topics, self.decay, self.chunksize ) - def sync_state(self): - """Propagate the states topic probabilities to the inner object's attribute.""" - self.expElogbeta = np.exp(self.state.get_Elogbeta()) + def sync_state(self, current_Elogbeta=None): + """Propagate the states topic probabilities to the inner object's attribute. + + Parameters + ---------- + current_Elogbeta: numpy.ndarray + Posterior probabilities for each topic, optional. + If omitted, it will get Elogbeta from state. + """ + + if current_Elogbeta is None: + current_Elogbeta = self.state.get_Elogbeta() + self.expElogbeta = np.exp(current_Elogbeta) assert self.expElogbeta.dtype == self.dtype def clear(self): @@ -1027,14 +1037,16 @@ def do_mstep(self, rho, other, extra_pass=False): logger.debug("updating topics") # update self with the new blend; also keep track of how much did # the topics change through this update, to assess convergence - diff = np.log(self.expElogbeta) + previous_Elogbeta = self.state.get_Elogbeta() self.state.blend(rho, other) - diff -= self.state.get_Elogbeta() - self.sync_state() + + current_Elogbeta = self.state.get_Elogbeta() + self.sync_state(current_Elogbeta) # print out some debug info at the end of each EM iteration self.print_topics(5) - logger.info("topic diff=%f, rho=%f", np.mean(np.abs(diff)), rho) + diff = mean_absolute_difference(previous_Elogbeta.ravel(), current_Elogbeta.ravel()) + logger.info("topic diff=%f, rho=%f", diff, rho) if self.optimize_eta: self.update_eta(self.state.get_lambda(), rho) From d7cbe1835f46ae258e583b3228177bf6d08f489b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?V=C3=ADt=20Novotn=C3=BD?= Date: Mon, 28 Jan 2019 11:03:28 +0100 Subject: [PATCH 06/31] Fix the example code for SparseTermSimilarityMatrix (#2359) --- gensim/similarities/termsim.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/gensim/similarities/termsim.py b/gensim/similarities/termsim.py index 6a0b6d12b5..167b73b241 100644 --- a/gensim/similarities/termsim.py +++ b/gensim/similarities/termsim.py @@ -128,13 +128,13 @@ class SparseTermSimilarityMatrix(SaveLoad): >>> from gensim.test.utils import common_texts >>> from gensim.corpora import Dictionary >>> from gensim.models import Word2Vec, WordEmbeddingSimilarityIndex - >>> from gensim.similarities import SoftCosineSimilarity, TermSimilarityMatrix + >>> from gensim.similarities import SoftCosineSimilarity, SparseTermSimilarityMatrix >>> >>> model = Word2Vec(common_texts, size=20, min_count=1) # train word-vectors - >>> termsim_index = WordEmbeddingSimilarityIndex(model) + >>> termsim_index = WordEmbeddingSimilarityIndex(model.wv) >>> dictionary = Dictionary(common_texts) >>> bow_corpus = [dictionary.doc2bow(document) for document in common_texts] - >>> similarity_matrix = TermSimilarityMatrix(termsim_index, dictionary) # construct similarity matrix + >>> similarity_matrix = SparseTermSimilarityMatrix(termsim_index, dictionary) # construct similarity matrix >>> docsim_index = SoftCosineSimilarity(bow_corpus, similarity_matrix, num_best=10) >>> >>> query = 'graph trees computer'.split() # make a query From c9c8b1f4e869a7794d42a20c869c8a9fc462bc4b Mon Sep 17 00:00:00 2001 From: Amr Mohamed Date: Mon, 28 Jan 2019 17:31:48 +0200 Subject: [PATCH 07/31] Update `poincare` documentation to indicate the relation format (#2357) * Update `poincare` documentation to indicate the relation format Solves #2244 * Rephrase the `poincare` documentation edit * Add link to example tsv in `poincare` documentation * Improve the example relation in `poincare` documentation * Edit the link to the example file in the `poincare` documentation --- gensim/models/poincare.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/gensim/models/poincare.py b/gensim/models/poincare.py index 267878302c..0c49c761f2 100644 --- a/gensim/models/poincare.py +++ b/gensim/models/poincare.py @@ -1383,6 +1383,12 @@ def __init__(self, file_path, encoding='utf8', delimiter='\t'): ---------- file_path : str Path to file containing a pair of nodes (a relation) per line, separated by `delimiter`. + Since the relations are asymmetric, the order of `u` and `v` nodes in each pair matters. + To express a "u is v" relation, the lines should take the form `u delimeter v`. + e.g: `kangaroo mammal` is a tab-delimited line expressing a "`kangaroo is a mammal`" relation. + + For a full input file example, see `gensim/test/test_data/poincare_hypernyms.tsv + `_. encoding : str, optional Character encoding of the input file. delimiter : str, optional From 80406c2aa831a27b6b669fe6a6195f0a98e8fe9e Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Tue, 29 Jan 2019 16:34:05 +1100 Subject: [PATCH 08/31] Improve `FastText` documentation (#2353) * WIP: doco improvements doctest complains about vocabulary and training continuation * more doco * flake8-docs updates * adding fixmes * minor fixup * review response * Remove magic constant * deprecate the iter parameter to the FastText constructor * minor documentation fixes * review response: use absolute references * review response * fix unit test * Revert "deprecate the iter parameter to the FastText constructor" This reverts commit 2e728cb4fd70519ffbe05c910d0de240d49e3e07. * Revert "fix unit test" This reverts commit 29c5210e1b4f8c89a0529b7f46f680aab27fef8d. * more documentation improvements * comment out pesky import * fix typo * improve tutorial notebook * minor documentation update * flake8-docs * more doco fixes * fix example * git rm docs/fasttext-notes.md * review response: include _fasttext_bin in docs * review response: make examples more readable * review response: remove blank line * review response: add emphasis * review response: add comment * review response: add example * review response: remove redundant line * review response: update comment * Update gensim/models/fasttext.py Co-Authored-By: mpenkov * review response: improve examples * clarify example * review response: improve example * review response: improve tokenization in example * flake8 * fix long lines * fixup: use correct parameter name --- docs/fasttext-notes.md | 152 ------ docs/notebooks/FastText_Tutorial.ipynb | 638 ++++++++++++------------- docs/src/apiref.rst | 1 + docs/src/models/_fasttext_bin.rst | 10 + gensim/models/_fasttext_bin.py | 10 +- gensim/models/fasttext.py | 292 ++++++++++- gensim/models/keyedvectors.py | 8 +- 7 files changed, 592 insertions(+), 519 deletions(-) delete mode 100644 docs/fasttext-notes.md create mode 100644 docs/src/models/_fasttext_bin.rst diff --git a/docs/fasttext-notes.md b/docs/fasttext-notes.md deleted file mode 100644 index 5b11b7de6a..0000000000 --- a/docs/fasttext-notes.md +++ /dev/null @@ -1,152 +0,0 @@ -FastText Notes -============== - -The implementation is split across several submodules: - -- models.fasttext -- models.keyedvectors (includes FastText-specific code, not good) -- models.word2vec (superclasses) -- models.base_any2vec (superclasses) - -The implementation consists of several key classes: - -1. models.fasttext.FastTextVocab: the vocabulary -2. models.keyedvectors.FastTextKeyedVectors: the vectors -3. models.fasttext.FastTextTrainables: the underlying neural network -4. models.fasttext.FastText: ties everything together - -FastTextVocab -------------- - -Seems to be an entirely redundant class. -Inherits from models.word2vec.Word2VecVocab, adding no new functionality. - -FastTextKeyedVectors --------------------- - -Inheritance hierarchy: - -1. FastTextKeyedVectors -2. WordEmbeddingsKeyedVectors. Implements word similarity e.g. cosine similarity, WMD, etc. -3. BaseKeyedVectors (abstract base class) -4. utils.SaveLoad - -There are many attributes. - -Inherited from BaseKeyedVectors: - -- vectors: a 2D numpy array. Flexible number of rows (0 by default). Number of columns equals vector dimensionality. -- vocab: a dictionary. Keys are words. Items are Vocab instances: these are essentially namedtuples that contain an index and a count. The former is the index of a term in the entire vocab. The latter is the number of times the term occurs. -- vector_size (dimensionality) -- index2entity - -Inherited from WordEmbeddingsKeyedVectors: - -- vectors_norm -- index2word - -Added by FastTextKeyedVectors: - -- vectors_vocab: 2D array. Rows are vectors. Columns correspond to vector dimensions. Initialized in FastTextTrainables.init_ngrams_weights. Reset in reset_ngrams_weights. Referred to as syn0_vocab in fasttext_inner.pyx. These are vectors for every word in the vocabulary. -- vectors_vocab_norm: looks unused, see _clear_post_train method. -- vectors_ngrams: 2D array. Each row is a bucket. Columns correspond to vector dimensions. Initialized in init_ngrams_weights function. Initialized in _load_vectors method when reading from native FB binary. Modified in reset_ngrams_weights method. This is the first matrix loaded from the native binary files. -- vectors_ngrams_norm: looks unused, see _clear_post_train method. -- buckets_word: A hashmap. Keyed by the index of a term in the vocab. Each value is an array, where each element is an integer that corresponds to a bucket. Initialized in init_ngrams_weights function -- hash2index: A hashmap. Keys are hashes of ngrams. Values are the number of ngrams (?). Initialized in init_ngrams_weights function. -- min_n: minimum ngram length -- max_n: maximum ngram length -- num_ngram_vectors: initialized in the init_ngrams_weights function - -The init_ngrams_method looks like an internal method of FastTextTrainables. -It gets called as part of the prepare_weights method, which is effectively part of the FastModel constructor. - -The above attributes are initialized to None in the FastTextKeyedVectors class constructor. -Unfortunately, their real initialization happens in an entirely different module, models.fasttext - another indication of poor separation of concerns. - -Some questions: - -- What is the x_lockf stuff? Why is it used only by the fast C implementation? -- How are vectors_vocab and vectors_ngrams different? - -vectors_vocab contains vectors for entire vocabulary. -vectors_ngrams contains vectors for each _bucket_. - - -FastTextTrainables ------------------- - -[Link](https://radimrehurek.com/gensim/models/fasttext.html#gensim.models.fasttext.FastTextTrainables) - -This is a neural network that learns the vectors for the FastText embedding. -Mostly inherits from its [Word2Vec parent](https://radimrehurek.com/gensim/models/word2vec.html#gensim.models.word2vec.Word2VecTrainables). -Adds logic for calculating and maintaining ngram weights. - -Key attributes: - -- hashfxn: function for randomly initializing weights. Defaults to the built-in hash() -- layer1_size: The size of the inner layer of the NN. Equal to the vector dimensionality. Set in the Word2VecTrainables constructor. -- seed: The random generator seed used in reset_weights and update_weights -- syn1: The inner layer of the NN. Each row corresponds to a term in the vocabulary. Columns correspond to weights of the inner layer. There are layer1_size such weights. Set in the reset_weights and update_weights methods, only if hierarchical sampling is used. -- syn1neg: Similar to syn1, but only set if negative sampling is used. -- vectors_lockf: A one-dimensional array with one element for each term in the vocab. Set in reset_weights to an array of ones. -- vectors_vocab_lockf: Similar to vectors_vocab_lockf, ones(len(model.trainables.vectors), dtype=REAL) -- vectors_ngrams_lockf = ones((self.bucket, wv.vector_size), dtype=REAL) - -The lockf stuff looks like it gets used by the fast C implementation. - -The inheritance hierarchy here is: - -1. FastTextTrainables -2. Word2VecTrainables -3. utils.SaveLoad - -FastText --------- - -Inheritance hierarchy: - -1. FastText -2. BaseWordEmbeddingsModel: vocabulary management plus a ton of deprecated attrs -3. BaseAny2VecModel: logging and training functionality -4. utils.SaveLoad: for loading and saving - -Lots of attributes (many inherited from superclasses). - -From BaseAny2VecModel: - -- workers -- vector_size -- epochs -- callbacks -- batch_words -- kv -- vocabulary -- trainables - -From BaseWordEmbeddingModel: - -- alpha -- min_alpha -- min_alpha_yet_reached -- window -- random -- hs -- negative -- ns_exponent -- cbow_mean -- compute_loss -- running_training_loss -- corpus_count -- corpus_total_words -- neg_labels - -FastText attributes: - -- wv: FastTextWordVectors. Used instead of .kv - -Logging -------- - -The logging seems to be inheritance-based. -It may be better to refactor this using aggregation istead of inheritance in the future. -The benefits would be leaner classes with less responsibilities and better separation of concerns. diff --git a/docs/notebooks/FastText_Tutorial.ipynb b/docs/notebooks/FastText_Tutorial.ipynb index bc964b2829..ed2d4d522f 100644 --- a/docs/notebooks/FastText_Tutorial.ipynb +++ b/docs/notebooks/FastText_Tutorial.ipynb @@ -54,39 +54,31 @@ "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "FastText(vocab=1763, size=100, alpha=0.025)\n" + "FastText(vocab=1762, size=100, alpha=0.025)\n" ] } ], "source": [ - "import gensim\n", - "import os\n", - "from gensim.models.word2vec import LineSentence\n", "from gensim.models.fasttext import FastText as FT_gensim\n", + "from gensim.test.utils import datapath\n", "\n", "# Set file names for train and test data\n", - "data_dir = '{}'.format(os.sep).join([gensim.__path__[0], 'test', 'test_data']) + os.sep\n", - "lee_train_file = data_dir + 'lee_background.cor'\n", - "lee_data = LineSentence(lee_train_file)\n", + "corpus_file = datapath('lee_background.cor')\n", "\n", "model_gensim = FT_gensim(size=100)\n", "\n", "# build the vocabulary\n", - "model_gensim.build_vocab(lee_data)\n", + "model_gensim.build_vocab(corpus_file=corpus_file)\n", "\n", "# train the model\n", - "model_gensim.train(lee_data, total_examples=model_gensim.corpus_count, epochs=model_gensim.iter)\n", + "model_gensim.train(\n", + " corpus_file=corpus_file, epochs=model_gensim.epochs,\n", + " total_examples=model_gensim.corpus_count, total_words=model_gensim.corpus_total_words\n", + ")\n", "\n", "print(model_gensim)" ] @@ -115,10 +107,10 @@ "from gensim.models.wrappers.fasttext import FastText as FT_wrapper\n", "\n", "# Set FastText home to the path to the FastText executable\n", - "ft_home = '/home/chinmaya/GSOC/Gensim/fastText/fasttext'\n", + "ft_home = '/home/misha/src/fastText-0.1.0/fasttext'\n", "\n", "# train the model\n", - "model_wrapper = FT_wrapper.train(ft_home, lee_train_file)\n", + "model_wrapper = FT_wrapper.train(ft_home, corpus_file)\n", "\n", "print(model_wrapper)" ] @@ -160,7 +152,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Note:** As in the case of Word2Vec, you can continue to train your model while using Gensim's native implementation of fastText. However, continuation of training with fastText models while using the wrapper is not supported." + "**Note:** As in the case of Word2Vec, you can continue to train your model while using Gensim's native implementation of fastText." ] }, { @@ -186,7 +178,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "FastText(vocab=1763, size=100, alpha=0.025)\n", + "FastText(vocab=1762, size=100, alpha=0.025)\n", "FastText(vocab=1763, size=100, alpha=0.025)\n" ] } @@ -231,40 +223,40 @@ "text": [ "True\n", "False\n", - "[ 0.60971916 0.66131264 0.09225323 0.28898761 0.34161603 0.06163925\n", - " -0.10147806 -0.18834428 -0.26355353 0.46417126 0.20428349 0.08414238\n", - " -0.61960417 -0.2977576 -0.22102182 0.14144184 0.13698931 -0.24608244\n", - " -0.58096874 0.3039414 0.18766184 0.38110724 0.11518024 -0.75747257\n", - " -0.275776 -0.42740449 -0.00725944 -0.24556711 0.41061676 0.05050014\n", - " -0.71367824 0.05223881 -0.07810796 0.22933683 0.43850809 0.06360656\n", - " 0.43815458 0.11096461 0.29619065 0.38061273 0.26262566 -0.07368335\n", - " 0.33198604 -0.1431711 -0.04876067 -0.35243919 0.18561274 -0.70321769\n", - " -0.16492438 -0.28362423 0.08294757 0.49758917 -0.17844993 -0.02241638\n", - " 0.18489315 0.01197879 -0.22931916 0.45774016 -0.40240806 -0.16401663\n", - " -0.07500558 0.06775728 0.14273891 0.39902335 0.1906638 0.14533612\n", - " -0.70275193 -0.64343351 -0.18003808 0.45082757 -0.42847934 0.23554228\n", - " 0.03722449 -0.0726353 -0.20106563 -0.85182953 0.16529776 0.2167791\n", - " 0.01655668 -0.45087481 0.44368106 0.94318634 0.3191022 -0.78148538\n", - " 0.06931634 -0.02454508 -0.07709292 0.00889531 0.41768485 -0.4333123\n", - " 0.57354093 0.40387386 0.50435936 0.15307237 0.41140166 0.09306428\n", - " -0.6406759 -0.00130932 0.01818158 0.05408832]\n", - "[ 0.57120456 0.61710706 0.08425266 0.28013577 0.30789921 0.08454974\n", - " -0.05984595 -0.14644302 -0.23369177 0.42689164 0.18699257 0.09090185\n", - " -0.57885733 -0.28756606 -0.20198511 0.12675938 0.14102744 -0.22880791\n", - " -0.52516965 0.27686313 0.19865591 0.33872125 0.11230565 -0.74198454\n", - " -0.28486362 -0.40490177 -0.00606945 -0.18761727 0.40040097 0.06941447\n", - " -0.70890718 0.03646363 -0.0598574 0.19175974 0.4242314 0.05878129\n", - " 0.41432344 0.10394377 0.2668701 0.38148809 0.2761937 -0.06951485\n", - " 0.34113405 -0.12189032 -0.05861677 -0.33032765 0.16585448 -0.65862278\n", - " -0.18381383 -0.28438907 0.08867586 0.46635329 -0.18801565 -0.01610042\n", - " 0.1940661 0.03761584 -0.21442287 0.41826423 -0.38097134 -0.15111094\n", - " -0.08636253 0.07374192 0.12731727 0.40068088 0.18576843 0.13244282\n", - " -0.64814759 -0.62510144 -0.17045424 0.44949777 -0.39068545 0.19102012\n", - " 0.03177847 -0.06673145 -0.17997442 -0.81052922 0.15459165 0.21476634\n", - " -0.01961387 -0.43806009 0.40781115 0.88663652 0.29360816 -0.74157697\n", - " 0.04686275 -0.0396045 -0.06810026 0.00260469 0.40505417 -0.39977569\n", - " 0.5443192 0.38472273 0.48665705 0.12033045 0.40395209 0.10123577\n", - " -0.6243847 -0.02460667 0.00828873 0.04089492]\n" + "[ 0.8314139 0.61584824 -0.22241311 0.07523467 0.5152522 0.07724247\n", + " -0.13744526 0.05606242 -0.09502476 0.45655364 0.51096547 -0.13521144\n", + " -0.7620124 -0.4685431 -0.15228595 -0.03442579 0.20600994 -0.5080321\n", + " -0.6443741 0.605772 -0.30647403 0.41962707 0.06037483 -0.40195057\n", + " -0.11246474 -0.59829116 -0.32052496 -0.48515126 0.2997839 -0.20067295\n", + " -0.20996568 0.12522118 -0.0364657 0.62870216 0.5781912 -0.00992062\n", + " 0.51955134 -0.10997857 0.16197589 0.27111182 -0.06318171 -0.24831475\n", + " 0.09808698 -0.37751442 -0.13298641 -0.15047912 -0.01828656 -0.6400881\n", + " 0.28488973 -0.14948265 0.18325825 0.6458386 -0.00953633 0.13587084\n", + " -0.1961209 -0.42555386 -0.19528134 0.52414805 -0.30868796 -0.5202228\n", + " -0.10896837 0.06696089 0.44607309 0.37719652 0.08233636 0.24584875\n", + " -0.80979943 -0.30543917 -0.15849951 0.16166946 -0.36826986 -0.00906481\n", + " -0.14814071 -0.25263855 -0.41303173 -0.48292273 -0.05554645 -0.00310395\n", + " 0.21415223 -0.27768075 0.7148276 1.3367277 0.33960983 -0.47452113\n", + " 0.27783358 0.09962273 0.04856196 -0.23065457 0.19847827 -0.7086235\n", + " 0.2897328 0.08882508 0.47819164 -0.10128012 0.17164136 -0.08161731\n", + " -0.64568347 -0.04466937 0.04507336 0.4807562 ]\n", + "[ 0.7486652 0.5551642 -0.20113334 0.0694495 0.46116358 0.06881845\n", + " -0.12488337 0.05208117 -0.08345503 0.41118833 0.4612766 -0.12186286\n", + " -0.68638855 -0.4214572 -0.13843313 -0.03139759 0.18622552 -0.45825756\n", + " -0.57948387 0.54435897 -0.27771378 0.3789184 0.05383135 -0.36025965\n", + " -0.10304614 -0.53994924 -0.28970715 -0.43614468 0.26968622 -0.18174443\n", + " -0.19075763 0.11169459 -0.03211116 0.5669812 0.5213458 -0.01047292\n", + " 0.4683945 -0.09853561 0.14416309 0.2458799 -0.05680516 -0.22388494\n", + " 0.08682863 -0.34187067 -0.11945734 -0.1357073 -0.0152749 -0.5779147\n", + " 0.25770664 -0.13402262 0.16518788 0.5821273 -0.00866939 0.12256315\n", + " -0.17704405 -0.38423932 -0.1755833 0.47041836 -0.27653104 -0.46991062\n", + " -0.09599836 0.05943088 0.4017819 0.33958077 0.07508487 0.22090466\n", + " -0.72955 -0.2727049 -0.14109111 0.14624386 -0.33014265 -0.00984893\n", + " -0.13071296 -0.22914156 -0.37331858 -0.43644536 -0.05077597 -0.00315402\n", + " 0.19187897 -0.2513682 0.6448789 1.2039913 0.30247915 -0.4269294\n", + " 0.25062108 0.08874664 0.04146989 -0.20783317 0.17835104 -0.6382346\n", + " 0.26064712 0.08040012 0.43090543 -0.09168535 0.15238702 -0.07426675\n", + " -0.5815522 -0.03998712 0.04137334 0.4317176 ]\n" ] } ], @@ -286,25 +278,19 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'all ngrams for word axe absent from model'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# Raises a KeyError since none of the character ngrams of the word `axe` are present in the training data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mmodel_wrapper\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'axe'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/home/chinmaya/GSOC/Gensim/gensim/gensim/models/word2vec.pyc\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, words)\u001b[0m\n\u001b[1;32m 1280\u001b[0m \u001b[0mRefer\u001b[0m \u001b[0mto\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdocumentation\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m`\u001b[0m\u001b[0mgensim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmodels\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mKeyedVectors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getitem__\u001b[0m\u001b[0;34m`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1281\u001b[0m \"\"\"\n\u001b[0;32m-> 1282\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getitem__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1283\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1284\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__contains__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mword\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/home/chinmaya/GSOC/Gensim/gensim/gensim/models/keyedvectors.pyc\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, words)\u001b[0m\n\u001b[1;32m 587\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwords\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstring_types\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 588\u001b[0m \u001b[0;31m# allow calls like trained_model['office'], as a shorthand for trained_model[['office']]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 589\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mword_vec\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 590\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 591\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mvstack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mword_vec\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mword\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mword\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mwords\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/home/chinmaya/GSOC/Gensim/gensim/gensim/models/wrappers/fasttext.pyc\u001b[0m in \u001b[0;36mword_vec\u001b[0;34m(self, word, use_norm)\u001b[0m\n\u001b[1;32m 92\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mword_vec\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mngrams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 93\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# No ngrams of the word are present in self.ngrams\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 94\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'all ngrams for word %s absent from model'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mword\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 95\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 96\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0minit_sims\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'all ngrams for word axe absent from model'" - ] - } - ], + "outputs": [], "source": [ "# Raises a KeyError since none of the character ngrams of the word `axe` are present in the training data\n", - "model_wrapper['axe']" + "try:\n", + " model_wrapper['axe']\n", + "except KeyError:\n", + " #\n", + " # trap the error here so it does not interfere\n", + " # with the execution of the cells below\n", + " #\n", + " pass\n", + "else:\n", + " assert False, 'the above code should have raised a KeyError'" ] }, { @@ -365,7 +351,7 @@ { "data": { "text/plain": [ - "0.9988949391617723" + "0.99999416" ] }, "execution_count": 7, @@ -401,16 +387,16 @@ { "data": { "text/plain": [ - "[(u'bowler', 0.9999216198921204),\n", - " (u'flights', 0.999881386756897),\n", - " (u'dozens', 0.9998700618743896),\n", - " (u'each', 0.9998670220375061),\n", - " (u'weather', 0.9998487234115601),\n", - " (u'technology', 0.999805748462677),\n", - " (u'acting', 0.9998006820678711),\n", - " (u'dollars', 0.999785840511322),\n", - " (u'place,', 0.9997731447219849),\n", - " (u'custody', 0.9997485280036926)]" + "[('night', 0.9999646544456482),\n", + " ('flights', 0.9999643564224243),\n", + " ('rights', 0.999963641166687),\n", + " ('night.', 0.9999594688415527),\n", + " ('quarter', 0.9999569654464722),\n", + " ('night,', 0.9999566078186035),\n", + " ('hearing', 0.9999553561210632),\n", + " ('better', 0.9999548196792603),\n", + " ('eight', 0.9999544620513916),\n", + " ('during', 0.999954342842102)]" ] }, "execution_count": 8, @@ -431,7 +417,7 @@ { "data": { "text/plain": [ - "0.99936318443348537" + "0.9999701" ] }, "execution_count": 9, @@ -451,7 +437,7 @@ { "data": { "text/plain": [ - "'dinner'" + "'cereal'" ] }, "execution_count": 10, @@ -471,16 +457,16 @@ { "data": { "text/plain": [ - "[(u'September', 0.9997114539146423),\n", - " (u'Rafter', 0.9996863007545471),\n", - " (u'New', 0.999636709690094),\n", - " (u'after', 0.9996317625045776),\n", - " (u'day', 0.9996190071105957),\n", - " (u'After', 0.9996107816696167),\n", - " (u'against', 0.9996088743209839),\n", - " (u'Robert', 0.9996023178100586),\n", - " (u'attacks', 0.9995726346969604),\n", - " (u'States', 0.9995641112327576)]" + "[('suicide', 0.9997773170471191),\n", + " ('decide', 0.9997694492340088),\n", + " ('side', 0.9997690916061401),\n", + " ('Minister', 0.9997668266296387),\n", + " ('inside', 0.9997666478157043),\n", + " ('Minister,', 0.99976646900177),\n", + " ('ministers', 0.9997649192810059),\n", + " ('Alliance', 0.9997645616531372),\n", + " ('best', 0.9997645020484924),\n", + " ('bombers', 0.9997643232345581)]" ] }, "execution_count": 11, @@ -497,242 +483,220 @@ "execution_count": 12, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "family: 0.0% (0/2)\n", - "gram3-comparative: 0.0% (0/12)\n", - "gram4-superlative: 0.0% (0/12)\n", - "gram5-present-participle: 0.0% (0/20)\n", - "gram6-nationality-adjective: 0.0% (0/20)\n", - "gram7-past-tense: 0.0% (0/20)\n", - "gram8-plural: 0.0% (0/12)\n", - "total: 0.0% (0/98)\n" - ] - }, { "data": { "text/plain": [ - "[{'correct': [], 'incorrect': [], 'section': u'capital-common-countries'},\n", - " {'correct': [], 'incorrect': [], 'section': u'capital-world'},\n", - " {'correct': [], 'incorrect': [], 'section': u'currency'},\n", - " {'correct': [], 'incorrect': [], 'section': u'city-in-state'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'HE', u'SHE', u'HIS', u'HER'),\n", - " (u'HIS', u'HER', u'HE', u'SHE')],\n", - " 'section': u'family'},\n", - " {'correct': [], 'incorrect': [], 'section': u'gram1-adjective-to-adverb'},\n", - " {'correct': [], 'incorrect': [], 'section': u'gram2-opposite'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'GOOD', u'BETTER', u'GREAT', u'GREATER'),\n", - " (u'GOOD', u'BETTER', u'LONG', u'LONGER'),\n", - " (u'GOOD', u'BETTER', u'LOW', u'LOWER'),\n", - " (u'GREAT', u'GREATER', u'LONG', u'LONGER'),\n", - " (u'GREAT', u'GREATER', u'LOW', u'LOWER'),\n", - " (u'GREAT', u'GREATER', u'GOOD', u'BETTER'),\n", - " (u'LONG', u'LONGER', u'LOW', u'LOWER'),\n", - " (u'LONG', u'LONGER', u'GOOD', u'BETTER'),\n", - " (u'LONG', u'LONGER', u'GREAT', u'GREATER'),\n", - " (u'LOW', u'LOWER', u'GOOD', u'BETTER'),\n", - " (u'LOW', u'LOWER', u'GREAT', u'GREATER'),\n", - " (u'LOW', u'LOWER', u'LONG', u'LONGER')],\n", - " 'section': u'gram3-comparative'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'BIG', u'BIGGEST', u'GOOD', u'BEST'),\n", - " (u'BIG', u'BIGGEST', u'GREAT', u'GREATEST'),\n", - " (u'BIG', u'BIGGEST', u'LARGE', u'LARGEST'),\n", - " (u'GOOD', u'BEST', u'GREAT', u'GREATEST'),\n", - " (u'GOOD', u'BEST', u'LARGE', u'LARGEST'),\n", - " (u'GOOD', u'BEST', u'BIG', u'BIGGEST'),\n", - " (u'GREAT', u'GREATEST', u'LARGE', u'LARGEST'),\n", - " (u'GREAT', u'GREATEST', u'BIG', u'BIGGEST'),\n", - " (u'GREAT', u'GREATEST', u'GOOD', u'BEST'),\n", - " (u'LARGE', u'LARGEST', u'BIG', u'BIGGEST'),\n", - " (u'LARGE', u'LARGEST', u'GOOD', u'BEST'),\n", - " (u'LARGE', u'LARGEST', u'GREAT', u'GREATEST')],\n", - " 'section': u'gram4-superlative'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'GO', u'GOING', u'LOOK', u'LOOKING'),\n", - " (u'GO', u'GOING', u'PLAY', u'PLAYING'),\n", - " (u'GO', u'GOING', u'RUN', u'RUNNING'),\n", - " (u'GO', u'GOING', u'SAY', u'SAYING'),\n", - " (u'LOOK', u'LOOKING', u'PLAY', u'PLAYING'),\n", - " (u'LOOK', u'LOOKING', u'RUN', u'RUNNING'),\n", - " (u'LOOK', u'LOOKING', u'SAY', u'SAYING'),\n", - " (u'LOOK', u'LOOKING', u'GO', u'GOING'),\n", - " (u'PLAY', u'PLAYING', u'RUN', u'RUNNING'),\n", - " (u'PLAY', u'PLAYING', u'SAY', u'SAYING'),\n", - " (u'PLAY', u'PLAYING', u'GO', u'GOING'),\n", - " (u'PLAY', u'PLAYING', u'LOOK', u'LOOKING'),\n", - " (u'RUN', u'RUNNING', u'SAY', u'SAYING'),\n", - " (u'RUN', u'RUNNING', u'GO', u'GOING'),\n", - " (u'RUN', u'RUNNING', u'LOOK', u'LOOKING'),\n", - " (u'RUN', u'RUNNING', u'PLAY', u'PLAYING'),\n", - " (u'SAY', u'SAYING', u'GO', u'GOING'),\n", - " (u'SAY', u'SAYING', u'LOOK', u'LOOKING'),\n", - " (u'SAY', u'SAYING', u'PLAY', u'PLAYING'),\n", - " (u'SAY', u'SAYING', u'RUN', u'RUNNING')],\n", - " 'section': u'gram5-present-participle'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'AUSTRALIA', u'AUSTRALIAN', u'FRANCE', u'FRENCH'),\n", - " (u'AUSTRALIA', u'AUSTRALIAN', u'INDIA', u'INDIAN'),\n", - " (u'AUSTRALIA', u'AUSTRALIAN', u'ISRAEL', u'ISRAELI'),\n", - " (u'AUSTRALIA', u'AUSTRALIAN', u'SWITZERLAND', u'SWISS'),\n", - " (u'FRANCE', u'FRENCH', u'INDIA', u'INDIAN'),\n", - " (u'FRANCE', u'FRENCH', u'ISRAEL', u'ISRAELI'),\n", - " (u'FRANCE', u'FRENCH', u'SWITZERLAND', u'SWISS'),\n", - " (u'FRANCE', u'FRENCH', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'INDIA', u'INDIAN', u'ISRAEL', u'ISRAELI'),\n", - " (u'INDIA', u'INDIAN', u'SWITZERLAND', u'SWISS'),\n", - " (u'INDIA', u'INDIAN', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'INDIA', u'INDIAN', u'FRANCE', u'FRENCH'),\n", - " (u'ISRAEL', u'ISRAELI', u'SWITZERLAND', u'SWISS'),\n", - " (u'ISRAEL', u'ISRAELI', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'ISRAEL', u'ISRAELI', u'FRANCE', u'FRENCH'),\n", - " (u'ISRAEL', u'ISRAELI', u'INDIA', u'INDIAN'),\n", - " (u'SWITZERLAND', u'SWISS', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'SWITZERLAND', u'SWISS', u'FRANCE', u'FRENCH'),\n", - " (u'SWITZERLAND', u'SWISS', u'INDIA', u'INDIAN'),\n", - " (u'SWITZERLAND', u'SWISS', u'ISRAEL', u'ISRAELI')],\n", - " 'section': u'gram6-nationality-adjective'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'GOING', u'WENT', u'PAYING', u'PAID'),\n", - " (u'GOING', u'WENT', u'PLAYING', u'PLAYED'),\n", - " (u'GOING', u'WENT', u'SAYING', u'SAID'),\n", - " (u'GOING', u'WENT', u'TAKING', u'TOOK'),\n", - " (u'PAYING', u'PAID', u'PLAYING', u'PLAYED'),\n", - " (u'PAYING', u'PAID', u'SAYING', u'SAID'),\n", - " (u'PAYING', u'PAID', u'TAKING', u'TOOK'),\n", - " (u'PAYING', u'PAID', u'GOING', u'WENT'),\n", - " (u'PLAYING', u'PLAYED', u'SAYING', u'SAID'),\n", - " (u'PLAYING', u'PLAYED', u'TAKING', u'TOOK'),\n", - " (u'PLAYING', u'PLAYED', u'GOING', u'WENT'),\n", - " (u'PLAYING', u'PLAYED', u'PAYING', u'PAID'),\n", - " (u'SAYING', u'SAID', u'TAKING', u'TOOK'),\n", - " (u'SAYING', u'SAID', u'GOING', u'WENT'),\n", - " (u'SAYING', u'SAID', u'PAYING', u'PAID'),\n", - " (u'SAYING', u'SAID', u'PLAYING', u'PLAYED'),\n", - " (u'TAKING', u'TOOK', u'GOING', u'WENT'),\n", - " (u'TAKING', u'TOOK', u'PAYING', u'PAID'),\n", - " (u'TAKING', u'TOOK', u'PLAYING', u'PLAYED'),\n", - " (u'TAKING', u'TOOK', u'SAYING', u'SAID')],\n", - " 'section': u'gram7-past-tense'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'BUILDING', u'BUILDINGS', u'CAR', u'CARS'),\n", - " (u'BUILDING', u'BUILDINGS', u'CHILD', u'CHILDREN'),\n", - " (u'BUILDING', u'BUILDINGS', u'MAN', u'MEN'),\n", - " (u'CAR', u'CARS', u'CHILD', u'CHILDREN'),\n", - " (u'CAR', u'CARS', u'MAN', u'MEN'),\n", - " (u'CAR', u'CARS', u'BUILDING', u'BUILDINGS'),\n", - " (u'CHILD', u'CHILDREN', u'MAN', u'MEN'),\n", - " (u'CHILD', u'CHILDREN', u'BUILDING', u'BUILDINGS'),\n", - " (u'CHILD', u'CHILDREN', u'CAR', u'CARS'),\n", - " (u'MAN', u'MEN', u'BUILDING', u'BUILDINGS'),\n", - " (u'MAN', u'MEN', u'CAR', u'CARS'),\n", - " (u'MAN', u'MEN', u'CHILD', u'CHILDREN')],\n", - " 'section': u'gram8-plural'},\n", - " {'correct': [], 'incorrect': [], 'section': u'gram9-plural-verbs'},\n", - " {'correct': [],\n", - " 'incorrect': [(u'HE', u'SHE', u'HIS', u'HER'),\n", - " (u'HIS', u'HER', u'HE', u'SHE'),\n", - " (u'GOOD', u'BETTER', u'GREAT', u'GREATER'),\n", - " (u'GOOD', u'BETTER', u'LONG', u'LONGER'),\n", - " (u'GOOD', u'BETTER', u'LOW', u'LOWER'),\n", - " (u'GREAT', u'GREATER', u'LONG', u'LONGER'),\n", - " (u'GREAT', u'GREATER', u'LOW', u'LOWER'),\n", - " (u'GREAT', u'GREATER', u'GOOD', u'BETTER'),\n", - " (u'LONG', u'LONGER', u'LOW', u'LOWER'),\n", - " (u'LONG', u'LONGER', u'GOOD', u'BETTER'),\n", - " (u'LONG', u'LONGER', u'GREAT', u'GREATER'),\n", - " (u'LOW', u'LOWER', u'GOOD', u'BETTER'),\n", - " (u'LOW', u'LOWER', u'GREAT', u'GREATER'),\n", - " (u'LOW', u'LOWER', u'LONG', u'LONGER'),\n", - " (u'BIG', u'BIGGEST', u'GOOD', u'BEST'),\n", - " (u'BIG', u'BIGGEST', u'GREAT', u'GREATEST'),\n", - " (u'BIG', u'BIGGEST', u'LARGE', u'LARGEST'),\n", - " (u'GOOD', u'BEST', u'GREAT', u'GREATEST'),\n", - " (u'GOOD', u'BEST', u'LARGE', u'LARGEST'),\n", - " (u'GOOD', u'BEST', u'BIG', u'BIGGEST'),\n", - " (u'GREAT', u'GREATEST', u'LARGE', u'LARGEST'),\n", - " (u'GREAT', u'GREATEST', u'BIG', u'BIGGEST'),\n", - " (u'GREAT', u'GREATEST', u'GOOD', u'BEST'),\n", - " (u'LARGE', u'LARGEST', u'BIG', u'BIGGEST'),\n", - " (u'LARGE', u'LARGEST', u'GOOD', u'BEST'),\n", - " (u'LARGE', u'LARGEST', u'GREAT', u'GREATEST'),\n", - " (u'GO', u'GOING', u'LOOK', u'LOOKING'),\n", - " (u'GO', u'GOING', u'PLAY', u'PLAYING'),\n", - " (u'GO', u'GOING', u'RUN', u'RUNNING'),\n", - " (u'GO', u'GOING', u'SAY', u'SAYING'),\n", - " (u'LOOK', u'LOOKING', u'PLAY', u'PLAYING'),\n", - " (u'LOOK', u'LOOKING', u'RUN', u'RUNNING'),\n", - " (u'LOOK', u'LOOKING', u'SAY', u'SAYING'),\n", - " (u'LOOK', u'LOOKING', u'GO', u'GOING'),\n", - " (u'PLAY', u'PLAYING', u'RUN', u'RUNNING'),\n", - " (u'PLAY', u'PLAYING', u'SAY', u'SAYING'),\n", - " (u'PLAY', u'PLAYING', u'GO', u'GOING'),\n", - " (u'PLAY', u'PLAYING', u'LOOK', u'LOOKING'),\n", - " (u'RUN', u'RUNNING', u'SAY', u'SAYING'),\n", - " (u'RUN', u'RUNNING', u'GO', u'GOING'),\n", - " (u'RUN', u'RUNNING', u'LOOK', u'LOOKING'),\n", - " (u'RUN', u'RUNNING', u'PLAY', u'PLAYING'),\n", - " (u'SAY', u'SAYING', u'GO', u'GOING'),\n", - " (u'SAY', u'SAYING', u'LOOK', u'LOOKING'),\n", - " (u'SAY', u'SAYING', u'PLAY', u'PLAYING'),\n", - " (u'SAY', u'SAYING', u'RUN', u'RUNNING'),\n", - " (u'AUSTRALIA', u'AUSTRALIAN', u'FRANCE', u'FRENCH'),\n", - " (u'AUSTRALIA', u'AUSTRALIAN', u'INDIA', u'INDIAN'),\n", - " (u'AUSTRALIA', u'AUSTRALIAN', u'ISRAEL', u'ISRAELI'),\n", - " (u'AUSTRALIA', u'AUSTRALIAN', u'SWITZERLAND', u'SWISS'),\n", - " (u'FRANCE', u'FRENCH', u'INDIA', u'INDIAN'),\n", - " (u'FRANCE', u'FRENCH', u'ISRAEL', u'ISRAELI'),\n", - " (u'FRANCE', u'FRENCH', u'SWITZERLAND', u'SWISS'),\n", - " (u'FRANCE', u'FRENCH', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'INDIA', u'INDIAN', u'ISRAEL', u'ISRAELI'),\n", - " (u'INDIA', u'INDIAN', u'SWITZERLAND', u'SWISS'),\n", - " (u'INDIA', u'INDIAN', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'INDIA', u'INDIAN', u'FRANCE', u'FRENCH'),\n", - " (u'ISRAEL', u'ISRAELI', u'SWITZERLAND', u'SWISS'),\n", - " (u'ISRAEL', u'ISRAELI', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'ISRAEL', u'ISRAELI', u'FRANCE', u'FRENCH'),\n", - " (u'ISRAEL', u'ISRAELI', u'INDIA', u'INDIAN'),\n", - " (u'SWITZERLAND', u'SWISS', u'AUSTRALIA', u'AUSTRALIAN'),\n", - " (u'SWITZERLAND', u'SWISS', u'FRANCE', u'FRENCH'),\n", - " (u'SWITZERLAND', u'SWISS', u'INDIA', u'INDIAN'),\n", - " (u'SWITZERLAND', u'SWISS', u'ISRAEL', u'ISRAELI'),\n", - " (u'GOING', u'WENT', u'PAYING', u'PAID'),\n", - " (u'GOING', u'WENT', u'PLAYING', u'PLAYED'),\n", - " (u'GOING', u'WENT', u'SAYING', u'SAID'),\n", - " (u'GOING', u'WENT', u'TAKING', u'TOOK'),\n", - " (u'PAYING', u'PAID', u'PLAYING', u'PLAYED'),\n", - " (u'PAYING', u'PAID', u'SAYING', u'SAID'),\n", - " (u'PAYING', u'PAID', u'TAKING', u'TOOK'),\n", - " (u'PAYING', u'PAID', u'GOING', u'WENT'),\n", - " (u'PLAYING', u'PLAYED', u'SAYING', u'SAID'),\n", - " (u'PLAYING', u'PLAYED', u'TAKING', u'TOOK'),\n", - " (u'PLAYING', u'PLAYED', u'GOING', u'WENT'),\n", - " (u'PLAYING', u'PLAYED', u'PAYING', u'PAID'),\n", - " (u'SAYING', u'SAID', u'TAKING', u'TOOK'),\n", - " (u'SAYING', u'SAID', u'GOING', u'WENT'),\n", - " (u'SAYING', u'SAID', u'PAYING', u'PAID'),\n", - " (u'SAYING', u'SAID', u'PLAYING', u'PLAYED'),\n", - " (u'TAKING', u'TOOK', u'GOING', u'WENT'),\n", - " (u'TAKING', u'TOOK', u'PAYING', u'PAID'),\n", - " (u'TAKING', u'TOOK', u'PLAYING', u'PLAYED'),\n", - " (u'TAKING', u'TOOK', u'SAYING', u'SAID'),\n", - " (u'BUILDING', u'BUILDINGS', u'CAR', u'CARS'),\n", - " (u'BUILDING', u'BUILDINGS', u'CHILD', u'CHILDREN'),\n", - " (u'BUILDING', u'BUILDINGS', u'MAN', u'MEN'),\n", - " (u'CAR', u'CARS', u'CHILD', u'CHILDREN'),\n", - " (u'CAR', u'CARS', u'MAN', u'MEN'),\n", - " (u'CAR', u'CARS', u'BUILDING', u'BUILDINGS'),\n", - " (u'CHILD', u'CHILDREN', u'MAN', u'MEN'),\n", - " (u'CHILD', u'CHILDREN', u'BUILDING', u'BUILDINGS'),\n", - " (u'CHILD', u'CHILDREN', u'CAR', u'CARS'),\n", - " (u'MAN', u'MEN', u'BUILDING', u'BUILDINGS'),\n", - " (u'MAN', u'MEN', u'CAR', u'CARS'),\n", - " (u'MAN', u'MEN', u'CHILD', u'CHILDREN')],\n", - " 'section': 'total'}]" + "[{'section': 'capital-common-countries', 'correct': [], 'incorrect': []},\n", + " {'section': 'capital-world', 'correct': [], 'incorrect': []},\n", + " {'section': 'currency', 'correct': [], 'incorrect': []},\n", + " {'section': 'city-in-state', 'correct': [], 'incorrect': []},\n", + " {'section': 'family',\n", + " 'correct': [],\n", + " 'incorrect': [('HE', 'SHE', 'HIS', 'HER'), ('HIS', 'HER', 'HE', 'SHE')]},\n", + " {'section': 'gram1-adjective-to-adverb', 'correct': [], 'incorrect': []},\n", + " {'section': 'gram2-opposite', 'correct': [], 'incorrect': []},\n", + " {'section': 'gram3-comparative',\n", + " 'correct': [('GREAT', 'GREATER', 'LOW', 'LOWER'),\n", + " ('LONG', 'LONGER', 'LOW', 'LOWER'),\n", + " ('LOW', 'LOWER', 'GREAT', 'GREATER')],\n", + " 'incorrect': [('GOOD', 'BETTER', 'GREAT', 'GREATER'),\n", + " ('GOOD', 'BETTER', 'LONG', 'LONGER'),\n", + " ('GOOD', 'BETTER', 'LOW', 'LOWER'),\n", + " ('GREAT', 'GREATER', 'LONG', 'LONGER'),\n", + " ('GREAT', 'GREATER', 'GOOD', 'BETTER'),\n", + " ('LONG', 'LONGER', 'GOOD', 'BETTER'),\n", + " ('LONG', 'LONGER', 'GREAT', 'GREATER'),\n", + " ('LOW', 'LOWER', 'GOOD', 'BETTER'),\n", + " ('LOW', 'LOWER', 'LONG', 'LONGER')]},\n", + " {'section': 'gram4-superlative',\n", + " 'correct': [('GOOD', 'BEST', 'GREAT', 'GREATEST'),\n", + " ('GOOD', 'BEST', 'LARGE', 'LARGEST'),\n", + " ('GOOD', 'BEST', 'BIG', 'BIGGEST'),\n", + " ('GREAT', 'GREATEST', 'BIG', 'BIGGEST'),\n", + " ('LARGE', 'LARGEST', 'BIG', 'BIGGEST'),\n", + " ('LARGE', 'LARGEST', 'GREAT', 'GREATEST')],\n", + " 'incorrect': [('BIG', 'BIGGEST', 'GOOD', 'BEST'),\n", + " ('BIG', 'BIGGEST', 'GREAT', 'GREATEST'),\n", + " ('BIG', 'BIGGEST', 'LARGE', 'LARGEST'),\n", + " ('GREAT', 'GREATEST', 'LARGE', 'LARGEST'),\n", + " ('GREAT', 'GREATEST', 'GOOD', 'BEST'),\n", + " ('LARGE', 'LARGEST', 'GOOD', 'BEST')]},\n", + " {'section': 'gram5-present-participle',\n", + " 'correct': [('GO', 'GOING', 'LOOK', 'LOOKING'),\n", + " ('PLAY', 'PLAYING', 'SAY', 'SAYING'),\n", + " ('PLAY', 'PLAYING', 'LOOK', 'LOOKING'),\n", + " ('SAY', 'SAYING', 'LOOK', 'LOOKING'),\n", + " ('SAY', 'SAYING', 'PLAY', 'PLAYING')],\n", + " 'incorrect': [('GO', 'GOING', 'PLAY', 'PLAYING'),\n", + " ('GO', 'GOING', 'RUN', 'RUNNING'),\n", + " ('GO', 'GOING', 'SAY', 'SAYING'),\n", + " ('LOOK', 'LOOKING', 'PLAY', 'PLAYING'),\n", + " ('LOOK', 'LOOKING', 'RUN', 'RUNNING'),\n", + " ('LOOK', 'LOOKING', 'SAY', 'SAYING'),\n", + " ('LOOK', 'LOOKING', 'GO', 'GOING'),\n", + " ('PLAY', 'PLAYING', 'RUN', 'RUNNING'),\n", + " ('PLAY', 'PLAYING', 'GO', 'GOING'),\n", + " ('RUN', 'RUNNING', 'SAY', 'SAYING'),\n", + " ('RUN', 'RUNNING', 'GO', 'GOING'),\n", + " ('RUN', 'RUNNING', 'LOOK', 'LOOKING'),\n", + " ('RUN', 'RUNNING', 'PLAY', 'PLAYING'),\n", + " ('SAY', 'SAYING', 'GO', 'GOING'),\n", + " ('SAY', 'SAYING', 'RUN', 'RUNNING')]},\n", + " {'section': 'gram6-nationality-adjective',\n", + " 'correct': [('AUSTRALIA', 'AUSTRALIAN', 'INDIA', 'INDIAN'),\n", + " ('AUSTRALIA', 'AUSTRALIAN', 'ISRAEL', 'ISRAELI'),\n", + " ('INDIA', 'INDIAN', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('ISRAEL', 'ISRAELI', 'INDIA', 'INDIAN'),\n", + " ('SWITZERLAND', 'SWISS', 'INDIA', 'INDIAN')],\n", + " 'incorrect': [('AUSTRALIA', 'AUSTRALIAN', 'FRANCE', 'FRENCH'),\n", + " ('AUSTRALIA', 'AUSTRALIAN', 'SWITZERLAND', 'SWISS'),\n", + " ('FRANCE', 'FRENCH', 'INDIA', 'INDIAN'),\n", + " ('FRANCE', 'FRENCH', 'ISRAEL', 'ISRAELI'),\n", + " ('FRANCE', 'FRENCH', 'SWITZERLAND', 'SWISS'),\n", + " ('FRANCE', 'FRENCH', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('INDIA', 'INDIAN', 'ISRAEL', 'ISRAELI'),\n", + " ('INDIA', 'INDIAN', 'SWITZERLAND', 'SWISS'),\n", + " ('INDIA', 'INDIAN', 'FRANCE', 'FRENCH'),\n", + " ('ISRAEL', 'ISRAELI', 'SWITZERLAND', 'SWISS'),\n", + " ('ISRAEL', 'ISRAELI', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('ISRAEL', 'ISRAELI', 'FRANCE', 'FRENCH'),\n", + " ('SWITZERLAND', 'SWISS', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('SWITZERLAND', 'SWISS', 'FRANCE', 'FRENCH'),\n", + " ('SWITZERLAND', 'SWISS', 'ISRAEL', 'ISRAELI')]},\n", + " {'section': 'gram7-past-tense',\n", + " 'correct': [('PAYING', 'PAID', 'SAYING', 'SAID')],\n", + " 'incorrect': [('GOING', 'WENT', 'PAYING', 'PAID'),\n", + " ('GOING', 'WENT', 'PLAYING', 'PLAYED'),\n", + " ('GOING', 'WENT', 'SAYING', 'SAID'),\n", + " ('GOING', 'WENT', 'TAKING', 'TOOK'),\n", + " ('PAYING', 'PAID', 'PLAYING', 'PLAYED'),\n", + " ('PAYING', 'PAID', 'TAKING', 'TOOK'),\n", + " ('PAYING', 'PAID', 'GOING', 'WENT'),\n", + " ('PLAYING', 'PLAYED', 'SAYING', 'SAID'),\n", + " ('PLAYING', 'PLAYED', 'TAKING', 'TOOK'),\n", + " ('PLAYING', 'PLAYED', 'GOING', 'WENT'),\n", + " ('PLAYING', 'PLAYED', 'PAYING', 'PAID'),\n", + " ('SAYING', 'SAID', 'TAKING', 'TOOK'),\n", + " ('SAYING', 'SAID', 'GOING', 'WENT'),\n", + " ('SAYING', 'SAID', 'PAYING', 'PAID'),\n", + " ('SAYING', 'SAID', 'PLAYING', 'PLAYED'),\n", + " ('TAKING', 'TOOK', 'GOING', 'WENT'),\n", + " ('TAKING', 'TOOK', 'PAYING', 'PAID'),\n", + " ('TAKING', 'TOOK', 'PLAYING', 'PLAYED'),\n", + " ('TAKING', 'TOOK', 'SAYING', 'SAID')]},\n", + " {'section': 'gram8-plural',\n", + " 'correct': [('BUILDING', 'BUILDINGS', 'CHILD', 'CHILDREN'),\n", + " ('CHILD', 'CHILDREN', 'CAR', 'CARS'),\n", + " ('MAN', 'MEN', 'CAR', 'CARS')],\n", + " 'incorrect': [('BUILDING', 'BUILDINGS', 'CAR', 'CARS'),\n", + " ('BUILDING', 'BUILDINGS', 'MAN', 'MEN'),\n", + " ('CAR', 'CARS', 'CHILD', 'CHILDREN'),\n", + " ('CAR', 'CARS', 'MAN', 'MEN'),\n", + " ('CAR', 'CARS', 'BUILDING', 'BUILDINGS'),\n", + " ('CHILD', 'CHILDREN', 'MAN', 'MEN'),\n", + " ('CHILD', 'CHILDREN', 'BUILDING', 'BUILDINGS'),\n", + " ('MAN', 'MEN', 'BUILDING', 'BUILDINGS'),\n", + " ('MAN', 'MEN', 'CHILD', 'CHILDREN')]},\n", + " {'section': 'gram9-plural-verbs', 'correct': [], 'incorrect': []},\n", + " {'section': 'total',\n", + " 'correct': [('GREAT', 'GREATER', 'LOW', 'LOWER'),\n", + " ('LONG', 'LONGER', 'LOW', 'LOWER'),\n", + " ('LOW', 'LOWER', 'GREAT', 'GREATER'),\n", + " ('GOOD', 'BEST', 'GREAT', 'GREATEST'),\n", + " ('GOOD', 'BEST', 'LARGE', 'LARGEST'),\n", + " ('GOOD', 'BEST', 'BIG', 'BIGGEST'),\n", + " ('GREAT', 'GREATEST', 'BIG', 'BIGGEST'),\n", + " ('LARGE', 'LARGEST', 'BIG', 'BIGGEST'),\n", + " ('LARGE', 'LARGEST', 'GREAT', 'GREATEST'),\n", + " ('GO', 'GOING', 'LOOK', 'LOOKING'),\n", + " ('PLAY', 'PLAYING', 'SAY', 'SAYING'),\n", + " ('PLAY', 'PLAYING', 'LOOK', 'LOOKING'),\n", + " ('SAY', 'SAYING', 'LOOK', 'LOOKING'),\n", + " ('SAY', 'SAYING', 'PLAY', 'PLAYING'),\n", + " ('AUSTRALIA', 'AUSTRALIAN', 'INDIA', 'INDIAN'),\n", + " ('AUSTRALIA', 'AUSTRALIAN', 'ISRAEL', 'ISRAELI'),\n", + " ('INDIA', 'INDIAN', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('ISRAEL', 'ISRAELI', 'INDIA', 'INDIAN'),\n", + " ('SWITZERLAND', 'SWISS', 'INDIA', 'INDIAN'),\n", + " ('PAYING', 'PAID', 'SAYING', 'SAID'),\n", + " ('BUILDING', 'BUILDINGS', 'CHILD', 'CHILDREN'),\n", + " ('CHILD', 'CHILDREN', 'CAR', 'CARS'),\n", + " ('MAN', 'MEN', 'CAR', 'CARS')],\n", + " 'incorrect': [('HE', 'SHE', 'HIS', 'HER'),\n", + " ('HIS', 'HER', 'HE', 'SHE'),\n", + " ('GOOD', 'BETTER', 'GREAT', 'GREATER'),\n", + " ('GOOD', 'BETTER', 'LONG', 'LONGER'),\n", + " ('GOOD', 'BETTER', 'LOW', 'LOWER'),\n", + " ('GREAT', 'GREATER', 'LONG', 'LONGER'),\n", + " ('GREAT', 'GREATER', 'GOOD', 'BETTER'),\n", + " ('LONG', 'LONGER', 'GOOD', 'BETTER'),\n", + " ('LONG', 'LONGER', 'GREAT', 'GREATER'),\n", + " ('LOW', 'LOWER', 'GOOD', 'BETTER'),\n", + " ('LOW', 'LOWER', 'LONG', 'LONGER'),\n", + " ('BIG', 'BIGGEST', 'GOOD', 'BEST'),\n", + " ('BIG', 'BIGGEST', 'GREAT', 'GREATEST'),\n", + " ('BIG', 'BIGGEST', 'LARGE', 'LARGEST'),\n", + " ('GREAT', 'GREATEST', 'LARGE', 'LARGEST'),\n", + " ('GREAT', 'GREATEST', 'GOOD', 'BEST'),\n", + " ('LARGE', 'LARGEST', 'GOOD', 'BEST'),\n", + " ('GO', 'GOING', 'PLAY', 'PLAYING'),\n", + " ('GO', 'GOING', 'RUN', 'RUNNING'),\n", + " ('GO', 'GOING', 'SAY', 'SAYING'),\n", + " ('LOOK', 'LOOKING', 'PLAY', 'PLAYING'),\n", + " ('LOOK', 'LOOKING', 'RUN', 'RUNNING'),\n", + " ('LOOK', 'LOOKING', 'SAY', 'SAYING'),\n", + " ('LOOK', 'LOOKING', 'GO', 'GOING'),\n", + " ('PLAY', 'PLAYING', 'RUN', 'RUNNING'),\n", + " ('PLAY', 'PLAYING', 'GO', 'GOING'),\n", + " ('RUN', 'RUNNING', 'SAY', 'SAYING'),\n", + " ('RUN', 'RUNNING', 'GO', 'GOING'),\n", + " ('RUN', 'RUNNING', 'LOOK', 'LOOKING'),\n", + " ('RUN', 'RUNNING', 'PLAY', 'PLAYING'),\n", + " ('SAY', 'SAYING', 'GO', 'GOING'),\n", + " ('SAY', 'SAYING', 'RUN', 'RUNNING'),\n", + " ('AUSTRALIA', 'AUSTRALIAN', 'FRANCE', 'FRENCH'),\n", + " ('AUSTRALIA', 'AUSTRALIAN', 'SWITZERLAND', 'SWISS'),\n", + " ('FRANCE', 'FRENCH', 'INDIA', 'INDIAN'),\n", + " ('FRANCE', 'FRENCH', 'ISRAEL', 'ISRAELI'),\n", + " ('FRANCE', 'FRENCH', 'SWITZERLAND', 'SWISS'),\n", + " ('FRANCE', 'FRENCH', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('INDIA', 'INDIAN', 'ISRAEL', 'ISRAELI'),\n", + " ('INDIA', 'INDIAN', 'SWITZERLAND', 'SWISS'),\n", + " ('INDIA', 'INDIAN', 'FRANCE', 'FRENCH'),\n", + " ('ISRAEL', 'ISRAELI', 'SWITZERLAND', 'SWISS'),\n", + " ('ISRAEL', 'ISRAELI', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('ISRAEL', 'ISRAELI', 'FRANCE', 'FRENCH'),\n", + " ('SWITZERLAND', 'SWISS', 'AUSTRALIA', 'AUSTRALIAN'),\n", + " ('SWITZERLAND', 'SWISS', 'FRANCE', 'FRENCH'),\n", + " ('SWITZERLAND', 'SWISS', 'ISRAEL', 'ISRAELI'),\n", + " ('GOING', 'WENT', 'PAYING', 'PAID'),\n", + " ('GOING', 'WENT', 'PLAYING', 'PLAYED'),\n", + " ('GOING', 'WENT', 'SAYING', 'SAID'),\n", + " ('GOING', 'WENT', 'TAKING', 'TOOK'),\n", + " ('PAYING', 'PAID', 'PLAYING', 'PLAYED'),\n", + " ('PAYING', 'PAID', 'TAKING', 'TOOK'),\n", + " ('PAYING', 'PAID', 'GOING', 'WENT'),\n", + " ('PLAYING', 'PLAYED', 'SAYING', 'SAID'),\n", + " ('PLAYING', 'PLAYED', 'TAKING', 'TOOK'),\n", + " ('PLAYING', 'PLAYED', 'GOING', 'WENT'),\n", + " ('PLAYING', 'PLAYED', 'PAYING', 'PAID'),\n", + " ('SAYING', 'SAID', 'TAKING', 'TOOK'),\n", + " ('SAYING', 'SAID', 'GOING', 'WENT'),\n", + " ('SAYING', 'SAID', 'PAYING', 'PAID'),\n", + " ('SAYING', 'SAID', 'PLAYING', 'PLAYED'),\n", + " ('TAKING', 'TOOK', 'GOING', 'WENT'),\n", + " ('TAKING', 'TOOK', 'PAYING', 'PAID'),\n", + " ('TAKING', 'TOOK', 'PLAYING', 'PLAYED'),\n", + " ('TAKING', 'TOOK', 'SAYING', 'SAID'),\n", + " ('BUILDING', 'BUILDINGS', 'CAR', 'CARS'),\n", + " ('BUILDING', 'BUILDINGS', 'MAN', 'MEN'),\n", + " ('CAR', 'CARS', 'CHILD', 'CHILDREN'),\n", + " ('CAR', 'CARS', 'MAN', 'MEN'),\n", + " ('CAR', 'CARS', 'BUILDING', 'BUILDINGS'),\n", + " ('CHILD', 'CHILDREN', 'MAN', 'MEN'),\n", + " ('CHILD', 'CHILDREN', 'BUILDING', 'BUILDINGS'),\n", + " ('MAN', 'MEN', 'BUILDING', 'BUILDINGS'),\n", + " ('MAN', 'MEN', 'CHILD', 'CHILDREN')]}]" ] }, "execution_count": 12, @@ -741,9 +705,7 @@ } ], "source": [ - "question_file_path = data_dir + 'questions-words.txt'\n", - "\n", - "model_wrapper.accuracy(questions=question_file_path)" + "model_wrapper.accuracy(questions=datapath('questions-words.txt'))" ] }, { @@ -754,7 +716,7 @@ { "data": { "text/plain": [ - "1.1102867164706653" + "1.1245153746934533" ] }, "execution_count": 13, @@ -781,9 +743,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -791,21 +751,21 @@ "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python 2", + "display_name": "Python 3", "language": "python", - "name": "python2" + "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.13" + "pygments_lexer": "ipython3", + "version": "3.7.1" } }, "nbformat": 4, diff --git a/docs/src/apiref.rst b/docs/src/apiref.rst index c4f31f7f28..ae345e22bd 100644 --- a/docs/src/apiref.rst +++ b/docs/src/apiref.rst @@ -47,6 +47,7 @@ Modules: models/keyedvectors models/doc2vec models/fasttext + models/_fasttext_bin models/phrases models/poincare models/coherencemodel diff --git a/docs/src/models/_fasttext_bin.rst b/docs/src/models/_fasttext_bin.rst new file mode 100644 index 0000000000..eb9a0ad950 --- /dev/null +++ b/docs/src/models/_fasttext_bin.rst @@ -0,0 +1,10 @@ +:mod:`models._fasttext_bin` -- Facebook I/O +=========================================== + +.. automodule:: gensim.models._fasttext_bin + :synopsis: Facebook I/O + :members: + :inherited-members: + :special-members: __getitem__ + :undoc-members: + :show-inheritance: diff --git a/gensim/models/_fasttext_bin.py b/gensim/models/_fasttext_bin.py index ab88dbffda..2dae20d101 100644 --- a/gensim/models/_fasttext_bin.py +++ b/gensim/models/_fasttext_bin.py @@ -1,10 +1,14 @@ # -*- coding: utf-8 -*- """Load models from the native binary format released by Facebook. +The main entry point is the :func:`~gensim.models._fasttext_bin.load` function. +It returns a :class:`~gensim.models._fasttext_bin.Model` namedtuple containing everything loaded from the binary. + Examples -------- Load a model from a binary file: + .. sourcecode:: pycon >>> from gensim.test.utils import datapath @@ -81,8 +85,8 @@ def _yield_field_names(): Model = collections.namedtuple('Model', _FIELD_NAMES) """Holds data loaded from the Facebook binary. -Fields ------- +Parameters +---------- dim : int The dimensionality of the vectors. ws : int @@ -235,7 +239,7 @@ def load(fin, encoding='utf-8', full_model=True): Returns ------- - Model + :class:`~gensim.models._fasttext_bin.Model` The loaded model. """ diff --git a/gensim/models/fasttext.py b/gensim/models/fasttext.py index 807ebec32d..712ad93a0c 100644 --- a/gensim/models/fasttext.py +++ b/gensim/models/fasttext.py @@ -14,6 +14,9 @@ This module contains a fast native C implementation of Fasttext with Python interfaces. It is **not** only a wrapper around Facebook's implementation. +This module supports loading models trained with Facebook's fastText implementation. +It also supports continuing training from such models. + For a tutorial see `this notebook `_. @@ -27,10 +30,96 @@ .. sourcecode:: pycon - >>> from gensim.test.utils import common_texts - >>> from gensim.models import FastText + >>> # from gensim.models import FastText # FIXME: why does Sphinx dislike this import? + >>> from gensim.test.utils import common_texts # some example sentences + >>> + >>> print(common_texts[0]) + ['human', 'interface', 'computer'] + >>> print(len(common_texts)) + 9 + >>> model = FastText(size=4, window=3, min_count=1) # instantiate + >>> model.build_vocab(sentences=common_texts) + >>> model.train(sentences=common_texts, total_examples=len(common_texts), epochs=10) # train + +Once you have a model, you can access its keyed vectors via the `model.wv` attributes. +The keyed vectors instance is quite powerful: it can perform a wide range of NLP tasks. +For a full list of examples, see :class:`~gensim.models.keyedvectors.FastTextKeyedVectors`. + +You can also pass all the above parameters to the constructor to do everything +in a single line: + +.. sourcecode:: pycon + + >>> model2 = FastText(size=4, window=3, min_count=1, sentences=common_texts, iter=10) + +.. Important:: + This style of initialize-and-train in a single line is **deprecated**. We include it here + for backward compatibility only. + + Please use the initialize-`build_vocab`-`train` pattern above instead, including using `epochs` + instead of `iter`. + The motivation is to simplify the API and resolve naming inconsistencies, + e.g. the iter parameter to the constructor is called epochs in the train function. + +The two models above are instantiated differently, but behave identically. +For example, we can compare the embeddings they've calculated for the word "computer": + +.. sourcecode:: pycon + + >>> import numpy as np + >>> + >>> np.allclose(model.wv['computer'], model2.wv['computer']) + True + + +In the above examples, we trained the model from sentences (lists of words) loaded into memory. +This is OK for smaller datasets, but for larger datasets, we recommend streaming the file, +for example from disk or the network. +In Gensim, we refer to such datasets as "corpora" (singular "corpus"), and keep them +in the format described in :class:`~gensim.models.word2vec.LineSentence`. +Passing a corpus is simple: + +.. sourcecode:: pycon + + >>> from gensim.test.utils import datapath + >>> + >>> corpus_file = datapath('lee_background.cor') # absolute path to corpus + >>> model3 = FastText(size=4, window=3, min_count=1) + >>> model3.build_vocab(corpus_file=corpus_file) # scan over corpus to build the vocabulary + >>> + >>> total_words = model3.corpus_total_words # number of words in the corpus + >>> model3.train(corpus_file=corpus_file, total_words=total_words, epochs=5) + +The model needs the `total_words` parameter in order to +manage the training rate (alpha) correctly, and to give accurate progress estimates. +The above example relies on an implementation detail: the +:meth:`~gensim.models.fasttext.FastText.build_vocab` method +sets the `corpus_total_words` (and also `corpus_count`) model attributes. +You may calculate them by scanning over the corpus yourself, too. + +If you have a corpus in a different format, then you can use it by wrapping it +in an `iterator `_. +Your iterator should yield a list of strings each time, where each string should be a separate word. +Gensim will take care of the rest: + +.. sourcecode:: pycon + + >>> from gensim.utils import tokenize + >>> import smart_open + >>> + >>> + >>> class MyIter(object): + ... def __iter__(self): + ... path = datapath('crime-and-punishment.txt') + ... with smart_open.smart_open(path, 'r', encoding='utf-8') as fin: + ... for line in fin: + ... yield list(tokenize(line)) >>> - >>> model = FastText(common_texts, size=4, window=3, min_count=1, iter=10) + >>> + >>> model4 = FastText(size=4, window=3, min_count=1) + >>> model4.build_vocab(sentences=MyIter()) + >>> total_examples = model4.corpus_count + >>> model4.train(sentences=MyIter(), total_examples=total_examples, epochs=5) Persist a model to disk with: @@ -41,7 +130,67 @@ >>> fname = get_tmpfile("fasttext.model") >>> >>> model.save(fname) - >>> model = FastText.load(fname) # you can continue training with the loaded model! + >>> model = FastText.load(fname) + +Once loaded, such models behave identically to those created from scratch. +For example, you can continue training the loaded model: + +.. sourcecode:: pycon + + >>> import numpy as np + >>> + >>> 'computation' in model.wv.vocab # New word, currently out of vocab + False + >>> old_vector = np.copy(model.wv['computation']) # Grab the existing vector + >>> new_sentences = [ + ... ['computer', 'aided', 'design'], + ... ['computer', 'science'], + ... ['computational', 'complexity'], + ... ['military', 'supercomputer'], + ... ['central', 'processing', 'unit'], + ... ['onboard', 'car', 'computer'], + ... ] + >>> + >>> model.build_vocab(new_sentences, update=True) # Update the vocabulary + >>> model.train(new_sentences, total_examples=len(new_sentences), epochs=model.epochs) + >>> + >>> new_vector = model.wv['computation'] + >>> np.allclose(old_vector, new_vector, atol=1e-4) # Vector has changed, model has learnt something + False + >>> 'computation' in model.wv.vocab # Word is still out of vocab + False + +.. Important:: + Be sure to call the :meth:`~gensim.models.fasttext.FastText.build_vocab` + method with `update=True` before the :meth:`~gensim.models.fasttext.FastText.train` method + when continuing training. Without this call, previously unseen terms + will not be added to the vocabulary. + +You can also load models trained with Facebook's fastText implementation: + +.. sourcecode:: pycon + + >>> cap_path = datapath("crime-and-punishment.bin") + >>> # Partial model: loads quickly, uses less RAM, but cannot continue training + >>> fb_partial = FastText.load_fasttext_format(cap_path, full_model=False) + >>> # Full model: loads slowly, consumes RAM, but can continue training (see below) + >>> fb_full = FastText.load_fasttext_format(cap_path, full_model=True) + +Once loaded, such models behave identically to those trained from scratch. +You may continue training them on new data: + +.. sourcecode:: pycon + + >>> 'computer' in fb_full.wv.vocab # New word, currently out of vocab + False + >>> old_computer = np.copy(fb_full.wv['computer']) # Calculate current vectors + >>> fb_full.build_vocab(new_sentences, update=True) + >>> fb_full.train(new_sentences, total_examples=len(new_sentences), epochs=model.epochs) + >>> new_computer = fb_full.wv['computer'] + >>> np.allclose(old_computer, new_computer, atol=1e-4) # Vector has changed, model has learnt something + False + >>> 'computer' in fb_full.wv.vocab # New word is now in the vocabulary + True Retrieve word-vector for vocab and out-of-vocab word: @@ -85,6 +234,33 @@ >>> analogies_result = model.wv.evaluate_word_analogies(datapath('questions-words.txt')) +Implementation Notes +-------------------- + +These notes may help developers navigate our fastText implementation. +The implementation is split across several submodules: + +- :mod:`gensim.models.fasttext`: This module. Contains FastText-specific functionality only. +- :mod:`gensim.models.keyedvectors`: Implements both generic and FastText-specific functionality. +- :mod:`gensim.models.word2vec`: Contains implementations for the vocabulary + and the trainables for FastText. +- :mod:`gensim.models.base_any2vec`: Contains implementations for the base. + classes, including functionality such as callbacks, logging. +- :mod:`gensim.models.utils_any2vec`: Wrapper over Cython extensions. +- :mod:`gensim.utils`: Implements model I/O (loading and saving). + +Our implementation relies heavily on inheritance. +It consists of several important classes: + +- :class:`~gensim.models.word2vec.Word2VecVocab`: the vocabulary. + Keeps track of all the unique words, sometimes discarding the extremely rare ones. + This is sometimes called the Dictionary within Gensim. +- :class:`~gensim.models.keyedvectors.FastTextKeyedVectors`: the vectors. + Once training is complete, this class is sufficient for calculating embeddings. +- :class:`~gensim.models.fasttext.FastTextTrainables`: the underlying neural network. + The implementation uses this class to *learn* the word embeddings. +- :class:`~gensim.models.fasttext.FastText`: ties everything together. + """ import logging @@ -235,9 +411,6 @@ def train_epoch_cbow(model, corpus_file, offset, _cython_vocab, _cur_epoch, _exp raise RuntimeError("Training with corpus_file argument is not supported") -FASTTEXT_FILEFORMAT_MAGIC = 793712314 - - class FastText(BaseWordEmbeddingsModel): """Train, use and evaluate word representations learned using the method described in `Enriching Word Vectors with Subword Information `_, aka FastText. @@ -246,8 +419,6 @@ class FastText(BaseWordEmbeddingsModel): :meth:`~gensim.models.fasttext.FastText.load` methods, or loaded from a format compatible with the original Fasttext implementation via :meth:`~gensim.models.fasttext.FastText.load_fasttext_format`. - Some important internal attributes are the following: - Attributes ---------- wv : :class:`~gensim.models.keyedvectors.FastTextKeyedVectors` @@ -535,7 +706,7 @@ def build_vocab(self, sentences=None, corpus_file=None, update=False, progress_p def _set_train_params(self, **kwargs): # # We need the wv.buckets_word member to be initialized in order to - # continue training. The _clear_post_train method destroys this + # continue training. The _clear_post_train method destroys this # variable, so we reinitialize it here, if needed. # # The .old_vocab_len and .old_hash2index_len members are set only to @@ -769,9 +940,19 @@ def __contains__(self, word): def load_fasttext_format(cls, model_file, encoding='utf8', full_model=True): """Load the input-hidden weight matrix from Facebook's native fasttext `.bin` and `.vec` output files. + By default, this function loads the full model. A full model allows + continuing training with more data, but also consumes more RAM and + takes longer to load. If you do not need to continue training and only + wish the work with the already-trained embeddings, use `full_model=False` + for faster loading and to save RAM. + Notes ------ - Due to limitations in the FastText API, you cannot continue training with a model loaded this way. + Facebook provides both `.vec` and `.bin` files with their modules. + The former contains human-readable vectors. + The latter contains machine-readable vectors along with other model parameters. + This function effectively ignores `.vec` output file, since that file is redundant. + It only needs the `.bin` file. Parameters ---------- @@ -783,12 +964,50 @@ def load_fasttext_format(cls, model_file, encoding='utf8', full_model=True): encoding : str, optional Specifies the file encoding. full_model : boolean, optional - If False, skips loading the hidden output matrix. This saves a fair bit - of CPU time and RAM, but prevents training continuation. + If False, skips loading the hidden output matrix. This saves a fair bit + of CPU time and RAM, but **prevents training continuation**. + + Examples + -------- + + Load, infer, continue training: + + .. sourcecode:: pycon + + >>> from gensim.test.utils import datapath + >>> + >>> cap_path = datapath("crime-and-punishment.bin") + >>> fb_full = FastText.load_fasttext_format(cap_path, full_model=True) + >>> + >>> 'landlord' in fb_full.wv.vocab # Word is out of vocabulary + False + >>> oov_term = fb_full.wv['landlord'] + >>> + >>> 'landlady' in fb_full.wv.vocab # Word is in the vocabulary + True + >>> iv_term = fb_full.wv['landlady'] + >>> + >>> new_sent = [['lord', 'of', 'the', 'rings'], ['lord', 'of', 'the', 'flies']] + >>> fb_full.build_vocab(new_sent, update=True) + >>> fb_full.train(sentences=new_sent, total_examples=len(new_sent), epochs=5) + + Load quickly, infer (forego training continuation): + + .. sourcecode:: pycon + + >>> fb_partial = FastText.load_fasttext_format(cap_path, full_model=False) + >>> + >>> 'landlord' in fb_partial.wv.vocab # Word is out of vocabulary + False + >>> oov_term = fb_partial.wv['landlord'] + >>> + >>> 'landlady' in fb_partial.wv.vocab # Word is in the vocabulary + True + >>> iv_term = fb_partial.wv['landlady'] Returns ------- - :class: `~gensim.models.fasttext.FastText` + gensim.models.fasttext.FastText The loaded model. """ @@ -856,7 +1075,7 @@ def load(cls, *args, **kwargs): if not hasattr(model.wv, 'compatible_hash'): logger.warning( - "This older model was trained with a buggy hash function. " + "This older model was trained with a buggy hash function. " "The model will continue to work, but consider training it " "from scratch." ) @@ -877,15 +1096,42 @@ def accuracy(self, questions, restrict_vocab=30000, most_similar=None, case_inse return self.wv.accuracy(questions, restrict_vocab, most_similar, case_insensitive) -# -# Keep for backward compatibility. -# class FastTextVocab(Word2VecVocab): + """This is a redundant class. It exists only to maintain backwards compatibility + with older gensim versions.""" pass class FastTextTrainables(Word2VecTrainables): - """Represents the inner shallow neural network used to train :class:`~gensim.models.fasttext.FastText`.""" + """Represents the inner shallow neural network used to train :class:`~gensim.models.fasttext.FastText`. + + Mostly inherits from its parent (:class:`~gensim.models.word2vec.Word2VecTrainables`). + Adds logic for calculating and maintaining ngram weights. + + Attributes + ---------- + hashfxn : function + Used for randomly initializing weights. Defaults to the built-in hash() + layer1_size : int + The size of the inner layer of the NN. Equal to the vector dimensionality. + Set in the :class:`~gensim.models.word2vec.Word2VecTrainables` constructor. + seed : float + The random generator seed used in reset_weights and update_weights. + syn1 : numpy.array + The inner layer of the NN. Each row corresponds to a term in the vocabulary. + Columns correspond to weights of the inner layer. + There are layer1_size such weights. + Set in the reset_weights and update_weights methods, only if hierarchical sampling is used. + syn1neg : numpy.array + Similar to syn1, but only set if negative sampling is used. + vectors_lockf : numpy.array + A one-dimensional array with one element for each term in the vocab. Set in reset_weights to an array of ones. + vectors_vocab_lockf : numpy.array + Similar to vectors_vocab_lockf, ones(len(model.trainables.vectors), dtype=REAL) + vectors_ngrams_lockf : numpy.array + np.ones((self.bucket, wv.vector_size), dtype=REAL) + + """ def __init__(self, vector_size=100, seed=1, hashfxn=hash, bucket=2000000): super(FastTextTrainables, self).__init__( vector_size=vector_size, seed=seed, hashfxn=hashfxn) @@ -899,17 +1145,17 @@ def __init__(self, vector_size=100, seed=1, hashfxn=hash, bucket=2000000): # 2. vectors_ngrams_lockf # # These are both 2D matrices of shapes equal to the shapes of - # wv.vectors_vocab and wv.vectors_ngrams. So, each row corresponds to + # wv.vectors_vocab and wv.vectors_ngrams. So, each row corresponds to # a vector, and each column corresponds to a dimension within that # vector. # # Lockf stands for "lock factor": zero values suppress learning, one - # values enable it. Interestingly, the vectors_vocab_lockf and + # values enable it. Interestingly, the vectors_vocab_lockf and # vectors_ngrams_lockf seem to be used only by the C code in # fasttext_inner.pyx. # # The word2vec implementation also uses vectors_lockf: in that case, - # it's a 1D array, with a real number for each vector. The FastText + # it's a 1D array, with a real number for each vector. The FastText # implementation inherits this vectors_lockf attribute but doesn't # appear to use it. # @@ -987,7 +1233,7 @@ def _load_fasttext_format(model_file, encoding='utf-8', full_model=True): encoding : str, optional Specifies the file encoding. full_model : boolean, optional - If False, skips loading the hidden output matrix. This saves a fair bit + If False, skips loading the hidden output matrix. This saves a fair bit of CPU time and RAM, but prevents training continuation. Returns diff --git a/gensim/models/keyedvectors.py b/gensim/models/keyedvectors.py index 7543dc19d1..5543343823 100644 --- a/gensim/models/keyedvectors.py +++ b/gensim/models/keyedvectors.py @@ -1949,11 +1949,14 @@ class FastTextKeyedVectors(WordEmbeddingsKeyedVectors): Attributes ---------- vectors_vocab : np.array - A vector for each entity in the vocabulary. + Each row corresponds to a vector for an entity in the vocabulary. + Columns correspond to vector dimensions. vectors_vocab_norm : np.array Same as vectors_vocab, but the vectors are L2 normalized. vectors_ngrams : np.array A vector for each ngram across all entities in the vocabulary. + Each row is a vector that corresponds to a bucket. + Columns correspond to vector dimensions. vectors_ngrams_norm : np.array Same as vectors_ngrams, but the vectors are L2 normalized. Under some conditions, may actually be the same matrix as @@ -1967,7 +1970,8 @@ class FastTextKeyedVectors(WordEmbeddingsKeyedVectors): bucket to an index, and then indexing into vectors_ngrams (in other words, vectors_ngrams[hash2index[hash_fn(ngram) % bucket]]. num_ngram_vectors : int - TODO + The number of vectors that correspond to ngrams, as opposed to terms + (full words). """ def __init__(self, vector_size, min_n, max_n, bucket, compatible_hash): From 9242a6b5cb7e54a59ed21da33c4b7019271f0797 Mon Sep 17 00:00:00 2001 From: horpto <__Singleton__@hackerdom.ru> Date: Tue, 29 Jan 2019 13:57:12 +0500 Subject: [PATCH 09/31] Fix light linting issues in `LdaSeqModel` (#2360) * Fix light linting issues in `LdaSeqModel` * fix build * fix linting --- gensim/models/ldaseqmodel.py | 120 +++++++++++++++++------------------ 1 file changed, 58 insertions(+), 62 deletions(-) diff --git a/gensim/models/ldaseqmodel.py b/gensim/models/ldaseqmodel.py index 1c9e8a55d9..fe0e4dbe32 100644 --- a/gensim/models/ldaseqmodel.py +++ b/gensim/models/ldaseqmodel.py @@ -58,6 +58,7 @@ from scipy.special import digamma, gammaln from scipy import optimize import logging +from six.moves import range, zip logger = logging.getLogger(__name__) @@ -126,7 +127,7 @@ def __init__(self, corpus=None, time_slice=None, id2word=None, alphas=0.01, num_ logger.warning("no word id mapping provided; initializing from corpus, assuming identity") self.id2word = utils.dict_from_corpus(corpus) self.vocab_len = len(self.id2word) - elif len(self.id2word) > 0: + elif self.id2word: self.vocab_len = len(self.id2word) else: self.vocab_len = 0 @@ -142,12 +143,6 @@ def __init__(self, corpus=None, time_slice=None, id2word=None, alphas=0.01, num_ if self.time_slice is not None: self.num_time_slices = len(time_slice) - max_doc_len = 0 - for line_no, line in enumerate(corpus): - if len(line) > max_doc_len: - max_doc_len = len(line) - self.max_doc_len = max_doc_len - self.num_topics = num_topics self.num_time_slices = len(time_slice) self.alphas = np.full(num_topics, alphas) @@ -157,7 +152,7 @@ def __init__(self, corpus=None, time_slice=None, id2word=None, alphas=0.01, num_ # the sslm class is described below and contains information # on topic-word probabilities and doc-topic probabilities. self.topic_chains = [] - for topic in range(0, num_topics): + for topic in range(num_topics): sslm_ = sslm( num_time_slices=self.num_time_slices, vocab_len=self.vocab_len, num_topics=self.num_topics, chain_variance=chain_variance, obs_variance=obs_variance @@ -172,6 +167,8 @@ def __init__(self, corpus=None, time_slice=None, id2word=None, alphas=0.01, num_ # if a corpus and time_slice is provided, depending on the user choice of initializing LDA, we start DTM. if corpus is not None and time_slice is not None: + self.max_doc_len = max(len(line) for line in corpus) + if initialize == 'gensim': lda_model = ldamodel.LdaModel( corpus, id2word=self.id2word, num_topics=self.num_topics, @@ -268,12 +265,12 @@ def fit_lda_seq(self, corpus, lda_inference_max_iter, em_min_iter, em_max_iter, # initiate sufficient statistics topic_suffstats = [] - for topic in range(0, num_topics): - topic_suffstats.append(np.resize(np.zeros(vocab_len * data_len), (vocab_len, data_len))) + for topic in range(num_topics): + topic_suffstats.append(np.zeros((vocab_len, data_len))) # set up variables - gammas = np.resize(np.zeros(corpus_len * num_topics), (corpus_len, num_topics)) - lhoods = np.resize(np.zeros(corpus_len * num_topics + 1), (corpus_len, num_topics + 1)) + gammas = np.zeros((corpus_len, num_topics)) + lhoods = np.zeros((corpus_len, num_topics + 1)) # compute the likelihood of a sequential corpus under an LDA # seq model and find the evidence lower bound. This is the E - Step bound, gammas = \ @@ -346,7 +343,7 @@ def lda_seq_infer(self, corpus, topic_suffstats, gammas, lhoods, bound = 0.0 lda = ldamodel.LdaModel(num_topics=num_topics, alpha=self.alphas, id2word=self.id2word, dtype=np.float64) - lda.topics = np.array(np.split(np.zeros(vocab_len * num_topics), vocab_len)) + lda.topics = np.zeros((vocab_len, num_topics)) ldapost = LdaPost(max_doc_len=self.max_doc_len, num_topics=num_topics, lda=lda) model = "DTM" @@ -460,8 +457,8 @@ def make_lda_seq_slice(self, lda, time): The stationary model updated to reflect the passed time slice. """ - for k in range(0, self.num_topics): - lda.topics[:, k] = np.copy(self.topic_chains[k].e_log_prob[:, time]) + for k in range(self.num_topics): + lda.topics[:, k] = self.topic_chains[k].e_log_prob[:, time] lda.alpha = np.copy(self.alphas) return lda @@ -507,7 +504,7 @@ def print_topic_times(self, topic, top_terms=20): """ topics = [] - for time in range(0, self.num_time_slices): + for time in range(self.num_time_slices): topics.append(self.print_topic(topic, time, top_terms)) return topics @@ -530,7 +527,7 @@ def print_topics(self, time=0, top_terms=20): probability. """ - return [self.print_topic(topic, time, top_terms) for topic in range(0, self.num_topics)] + return [self.print_topic(topic, time, top_terms) for topic in range(self.num_topics)] def print_topic(self, topic, time=0, top_terms=20): """Get the list of words most relevant to the given topic. @@ -578,8 +575,7 @@ def doc_topics(self, doc_number): Probability for each topic in the mixture (essentially a point in the `self.num_topics - 1` simplex. """ - doc_topic = np.copy(self.gammas) - doc_topic /= doc_topic.sum(axis=1)[:, np.newaxis] + doc_topic = self.gammas / self.gammas.sum(axis=1)[:, np.newaxis] return doc_topic[doc_number] def dtm_vis(self, time, corpus): @@ -608,22 +604,25 @@ def dtm_vis(self, time, corpus): The set of unique terms existing in the cropuse's vocabulary. """ - doc_topic = np.copy(self.gammas) - doc_topic /= doc_topic.sum(axis=1)[:, np.newaxis] + doc_topic = self.gammas / self.gammas.sum(axis=1)[:, np.newaxis] + + def normalize(x): + return x / x.sum() topic_term = [ - np.exp(np.transpose(chain.e_log_prob)[time]) / np.exp(np.transpose(chain.e_log_prob)[time]).sum() + normalize(np.exp(chain.e_log_prob.T[time])) for k, chain in enumerate(self.topic_chains) ] - doc_lengths = [len(doc) for doc_no, doc in enumerate(corpus)] - + doc_lengths = [] term_frequency = np.zeros(self.vocab_len) for doc_no, doc in enumerate(corpus): - for pair in doc: - term_frequency[pair[0]] += pair[1] + doc_lengths.append(len(doc)) + + for term, freq in doc: + term_frequency[term] += freq - vocab = [self.id2word[i] for i in range(0, len(self.id2word))] + vocab = [self.id2word[i] for i in range(len(self.id2word))] return doc_topic, np.array(topic_term), doc_lengths, term_frequency, vocab @@ -668,13 +667,13 @@ def __getitem__(self, doc): Probabilities for each topic in the mixture. This is essentially a point in the `num_topics - 1` simplex. """ - lda_model = \ - ldamodel.LdaModel(num_topics=self.num_topics, alpha=self.alphas, id2word=self.id2word, dtype=np.float64) - lda_model.topics = np.array(np.split(np.zeros(self.vocab_len * self.num_topics), self.vocab_len)) + lda_model = ldamodel.LdaModel( + num_topics=self.num_topics, alpha=self.alphas, id2word=self.id2word, dtype=np.float64) + lda_model.topics = np.zeros((self.vocab_len, self.num_topics)) ldapost = LdaPost(num_topics=self.num_topics, max_doc_len=len(doc), lda=lda_model, doc=doc) time_lhoods = [] - for time in range(0, self.num_time_slices): + for time in range(self.num_time_slices): lda_model = self.make_lda_seq_slice(lda_model, time) # create lda_seq slice lhood = LdaPost.fit_lda_post(ldapost, 0, time, self) time_lhoods.append(lhood) @@ -706,12 +705,12 @@ def __init__(self, vocab_len=None, num_time_slices=None, num_topics=None, obs_va self.num_topics = num_topics # setting up matrices - self.obs = np.array(np.split(np.zeros(num_time_slices * vocab_len), vocab_len)) - self.e_log_prob = np.array(np.split(np.zeros(num_time_slices * vocab_len), vocab_len)) - self.mean = np.array(np.split(np.zeros((num_time_slices + 1) * vocab_len), vocab_len)) - self.fwd_mean = np.array(np.split(np.zeros((num_time_slices + 1) * vocab_len), vocab_len)) - self.fwd_variance = np.array(np.split(np.zeros((num_time_slices + 1) * vocab_len), vocab_len)) - self.variance = np.array(np.split(np.zeros((num_time_slices + 1) * vocab_len), vocab_len)) + self.obs = np.zeros((vocab_len, num_time_slices)) + self.e_log_prob = np.zeros((vocab_len, num_time_slices)) + self.mean = np.zeros((vocab_len, num_time_slices + 1)) + self.fwd_mean = np.zeros((vocab_len, num_time_slices + 1)) + self.fwd_variance = np.zeros((vocab_len, num_time_slices + 1)) + self.variance = np.zeros((vocab_len, num_time_slices + 1)) self.zeta = np.zeros(num_time_slices) # the following are class variables which are to be integrated during Document Influence Model @@ -896,9 +895,9 @@ def sslm_counts_init(self, obs_variance, chain_variance, sstats): T = self.num_time_slices log_norm_counts = np.copy(sstats) - log_norm_counts = log_norm_counts / sum(log_norm_counts) - log_norm_counts = log_norm_counts + 1.0 / W - log_norm_counts = log_norm_counts / sum(log_norm_counts) + log_norm_counts /= sum(log_norm_counts) + log_norm_counts += 1.0 / W + log_norm_counts /= sum(log_norm_counts) log_norm_counts = np.log(log_norm_counts) # setting variational observations to transformed counts @@ -908,7 +907,7 @@ def sslm_counts_init(self, obs_variance, chain_variance, sstats): self.chain_variance = chain_variance # compute post variance, mean - for w in range(0, W): + for w in range(W): self.variance[w], self.fwd_variance[w] = self.compute_post_variance(w, self.chain_variance) self.mean[w], self.fwd_mean[w] = self.compute_post_mean(w, self.chain_variance) @@ -944,7 +943,7 @@ def fit_sslm(self, sstats): # computing variance, fwd_variance self.variance, self.fwd_variance = \ - (np.array(x) for x in list(zip(*[self.compute_post_variance(w, self.chain_variance) for w in range(0, W)]))) + (np.array(x) for x in zip(*(self.compute_post_variance(w, self.chain_variance) for w in range(W)))) # column sum of sstats totals = sstats.sum(axis=0) @@ -1006,11 +1005,10 @@ def compute_bound(self, sstats, totals): chain_variance = self.chain_variance # computing mean, fwd_mean self.mean, self.fwd_mean = \ - (np.array(x) for x in zip(*[self.compute_post_mean(w, self.chain_variance) for w in range(0, w)])) + (np.array(x) for x in zip(*(self.compute_post_mean(w, self.chain_variance) for w in range(w)))) self.zeta = self.update_zeta() - for w in range(0, w): - val += (self.variance[w][0] - self.variance[w][t]) / 2 * chain_variance + val = sum(self.variance[w][0] - self.variance[w][t] for w in range(w)) / 2 * chain_variance logger.info("Computing bound, all times") @@ -1018,7 +1016,7 @@ def compute_bound(self, sstats, totals): term_1 = 0.0 term_2 = 0.0 ent = 0.0 - for w in range(0, w): + for w in range(w): m = self.mean[w][t] prev_m = self.mean[w][t - 1] @@ -1071,14 +1069,14 @@ def update_obs(self, sstats, totals): T = self.num_time_slices runs = 0 - mean_deriv_mtx = np.resize(np.zeros(T * (T + 1)), (T, T + 1)) + mean_deriv_mtx = np.zeros((T, T + 1)) norm_cutoff_obs = None - for w in range(0, W): + for w in range(W): w_counts = sstats[w] counts_norm = 0 # now we find L2 norm of w_counts - for i in range(0, len(w_counts)): + for i in range(len(w_counts)): counts_norm += w_counts[i] * w_counts[i] counts_norm = np.sqrt(counts_norm) @@ -1091,10 +1089,8 @@ def update_obs(self, sstats, totals): w_counts = np.zeros(len(w_counts)) # TODO: apply lambda function - for t in range(0, T): - mean_deriv = mean_deriv_mtx[t] - mean_deriv = self.compute_mean_deriv(w, t, mean_deriv) - mean_deriv_mtx[t] = mean_deriv + for t in range(T): + mean_deriv_mtx[t] = self.compute_mean_deriv(w, t, mean_deriv_mtx[t]) deriv = np.zeros(T) args = self, w_counts, totals, mean_deriv_mtx, w, deriv @@ -1207,10 +1203,10 @@ def compute_obs_deriv(self, word, word_counts, totals, mean_deriv_mtx, deriv): # temp_vector holds temporary zeta values self.temp_vect = np.zeros(T) - for u in range(0, T): + for u in range(T): self.temp_vect[u] = np.exp(mean[u + 1] + variance[u + 1] / 2) - for t in range(0, T): + for t in range(T): mean_deriv = mean_deriv_mtx[t] term1 = 0 term2 = 0 @@ -1280,8 +1276,8 @@ def __init__(self, doc=None, lda=None, max_doc_len=None, num_topics=None, gamma= self.lhood = np.zeros(num_topics + 1) if max_doc_len is not None and num_topics is not None: - self.phi = np.resize(np.zeros(max_doc_len * num_topics), (max_doc_len, num_topics)) - self.log_phi = np.resize(np.zeros(max_doc_len * num_topics), (max_doc_len, num_topics)) + self.phi = np.zeros((max_doc_len, num_topics)) + self.log_phi = np.zeros((max_doc_len, num_topics)) # the following are class variables which are to be integrated during Document Influence Model @@ -1314,12 +1310,12 @@ def update_phi(self, doc_number, time): # digamma values dig = np.zeros(num_topics) - for k in range(0, num_topics): + for k in range(num_topics): dig[k] = digamma(self.gamma[k]) n = 0 # keep track of iterations for phi, log_phi for word_id, count in self.doc: - for k in range(0, num_topics): + for k in range(num_topics): self.log_phi[n][k] = dig[k] + self.lda.topics[word_id][k] log_phi_row = self.log_phi[n] @@ -1355,7 +1351,7 @@ def update_gamma(self): n = 0 # keep track of number of iterations for phi, log_phi for word_id, count in self.doc: phi_row = self.phi[n] - for k in range(0, self.lda.num_topics): + for k in range(self.lda.num_topics): self.gamma[k] += phi_row[k] * count n += 1 @@ -1392,7 +1388,7 @@ def compute_lda_lhood(self): digsum = digamma(gamma_sum) model = "DTM" # noqa:F841 - for k in range(0, num_topics): + for k in range(num_topics): # below code only to be used in DIM mode # if ldapost.doc_weight is not None and (model == "DIM" or model == "fixed"): # influence_topic = ldapost.doc_weight[k] @@ -1518,7 +1514,7 @@ def update_lda_seq_ss(self, time, doc, topic_suffstats): """ num_topics = self.lda.num_topics - for k in range(0, num_topics): + for k in range(num_topics): topic_ss = topic_suffstats[k] n = 0 for word_id, count in self.doc: From 59cf775dbe013fa99188934365a5948669e32bda Mon Sep 17 00:00:00 2001 From: horpto <__Singleton__@hackerdom.ru> Date: Tue, 29 Jan 2019 18:26:42 +0500 Subject: [PATCH 10/31] Move out `process_result_queue` from cycle in `LdaMulticore` (#2358) * Move out `process_result_queue` + simplify inner check + add heuristic for case with large number of workers * delete heuristic * swap branches in if self.batch check --- gensim/models/ldamulticore.py | 55 +++++++++++++++++------------------ 1 file changed, 27 insertions(+), 28 deletions(-) diff --git a/gensim/models/ldamulticore.py b/gensim/models/ldamulticore.py index e3ed274128..f3341fee0b 100644 --- a/gensim/models/ldamulticore.py +++ b/gensim/models/ldamulticore.py @@ -225,13 +225,14 @@ def update(self, corpus, chunks_as_numpy=False): self.state.numdocs += lencorpus - if not self.batch: - updatetype = "online" - updateafter = self.chunksize * self.workers - else: + if self.batch: updatetype = "batch" updateafter = lencorpus - evalafter = min(lencorpus, (self.eval_every or 0) * updateafter) + else: + updatetype = "online" + updateafter = self.chunksize * self.workers + eval_every = self.eval_every or 0 + evalafter = min(lencorpus, eval_every * updateafter) updates_per_pass = max(1, lencorpus / updateafter) logger.info( @@ -257,47 +258,45 @@ def update(self, corpus, chunks_as_numpy=False): def rho(): return pow(self.offset + pass_ + (self.num_updates / self.chunksize), -self.decay) + def process_result_queue(force=False): + """ + Clear the result queue, merging all intermediate results, and update the + LDA model if necessary. + + """ + merged_new = False + while not result_queue.empty(): + other.merge(result_queue.get()) + queue_size[0] -= 1 + merged_new = True + + if (force and merged_new and queue_size[0] == 0) or (other.numdocs >= updateafter): + self.do_mstep(rho(), other, pass_ > 0) + other.reset() + if eval_every > 0 and (force or (self.num_updates / updateafter) % eval_every == 0): + self.log_perplexity(chunk, total_docs=lencorpus) + logger.info("training LDA model using %i processes", self.workers) pool = Pool(self.workers, worker_e_step, (job_queue, result_queue,)) for pass_ in range(self.passes): queue_size, reallen = [0], 0 other = LdaState(self.eta, self.state.sstats.shape) - def process_result_queue(force=False): - """ - Clear the result queue, merging all intermediate results, and update the - LDA model if necessary. - - """ - merged_new = False - while not result_queue.empty(): - other.merge(result_queue.get()) - queue_size[0] -= 1 - merged_new = True - if (force and merged_new and queue_size[0] == 0) or (not self.batch and (other.numdocs >= updateafter)): - self.do_mstep(rho(), other, pass_ > 0) - other.reset() - if self.eval_every is not None \ - and ((force and queue_size[0] == 0) - or (self.eval_every != 0 and (self.num_updates / updateafter) % self.eval_every == 0)): - self.log_perplexity(chunk, total_docs=lencorpus) - chunk_stream = utils.grouper(corpus, self.chunksize, as_numpy=chunks_as_numpy) for chunk_no, chunk in enumerate(chunk_stream): reallen += len(chunk) # keep track of how many documents we've processed so far # put the chunk into the workers' input job queue - chunk_put = False - while not chunk_put: + while True: try: - job_queue.put((chunk_no, chunk, self), block=False, timeout=0.1) - chunk_put = True + job_queue.put((chunk_no, chunk, self), block=False) queue_size[0] += 1 logger.info( "PROGRESS: pass %i, dispatched chunk #%i = documents up to #%i/%i, " "outstanding queue size %i", pass_, chunk_no, chunk_no * self.chunksize + len(chunk), lencorpus, queue_size[0] ) + break except queue.Full: # in case the input job queue is full, keep clearing the # result queue, to make sure we don't deadlock From 949213a58db8532bf86fd4bd424e256a83474d3e Mon Sep 17 00:00:00 2001 From: horpto <__Singleton__@hackerdom.ru> Date: Wed, 30 Jan 2019 19:26:54 +0500 Subject: [PATCH 11/31] Fix issues of `flake8==3.7.1` (#2365) * fix issues of new version of flake8 * fix build[1] --- gensim/models/deprecated/fasttext.py | 6 +- gensim/models/ldaseqmodel.py | 3 +- gensim/models/utils_any2vec.py | 82 ++++++++++++++-------------- gensim/similarities/__init__.py | 13 ++++- gensim/test/test_ldaseqmodel.py | 2 +- 5 files changed, 58 insertions(+), 48 deletions(-) diff --git a/gensim/models/deprecated/fasttext.py b/gensim/models/deprecated/fasttext.py index 836c66d4ca..81e01a5069 100644 --- a/gensim/models/deprecated/fasttext.py +++ b/gensim/models/deprecated/fasttext.py @@ -601,9 +601,9 @@ def train(self, sentences, total_examples=None, total_words=None, """ self.neg_labels = [] if self.negative > 0: - # precompute negative labels optimization for pure-python training - self.neg_labels = zeros(self.negative + 1) - self.neg_labels[0] = 1. + # precompute negative labels optimization for pure-python training + self.neg_labels = zeros(self.negative + 1) + self.neg_labels[0] = 1. Word2Vec.train( self, sentences, total_examples=self.corpus_count, epochs=self.iter, diff --git a/gensim/models/ldaseqmodel.py b/gensim/models/ldaseqmodel.py index fe0e4dbe32..642f12e28d 100644 --- a/gensim/models/ldaseqmodel.py +++ b/gensim/models/ldaseqmodel.py @@ -1635,6 +1635,7 @@ def df_obs(x, *args): if model == "DTM": deriv = sslm.compute_obs_deriv(word, word_counts, totals, mean_deriv_mtx, deriv) elif model == "DIM": - deriv = sslm.compute_obs_deriv_fixed(p.word, p.word_counts, p.totals, p.sslm, p.mean_deriv_mtx, deriv) # noqa:F821 + deriv = sslm.compute_obs_deriv_fixed( + p.word, p.word_counts, p.totals, p.sslm, p.mean_deriv_mtx, deriv) # noqa:F821 return np.negative(deriv) diff --git a/gensim/models/utils_any2vec.py b/gensim/models/utils_any2vec.py index 88242c31ea..1d9e03647c 100644 --- a/gensim/models/utils_any2vec.py +++ b/gensim/models/utils_any2vec.py @@ -247,48 +247,48 @@ def ft_ngram_hashes(word, minn, maxn, num_buckets, fb_compatible=True): def _save_word2vec_format(fname, vocab, vectors, fvocab=None, binary=False, total_vec=None): - """Store the input-hidden weight matrix in the same format used by the original - C word2vec-tool, for compatibility. - - Parameters - ---------- - fname : str - The file path used to save the vectors in. - vocab : dict - The vocabulary of words. - vectors : numpy.array - The vectors to be stored. - fvocab : str, optional - File path used to save the vocabulary. - binary : bool, optional - If True, the data wil be saved in binary word2vec format, else it will be saved in plain text. - total_vec : int, optional - Explicitly specify total number of vectors - (in case word vectors are appended with document vectors afterwards). - - """ - if not (vocab or vectors): - raise RuntimeError("no input") - if total_vec is None: - total_vec = len(vocab) - vector_size = vectors.shape[1] - if fvocab is not None: - logger.info("storing vocabulary in %s", fvocab) - with utils.smart_open(fvocab, 'wb') as vout: - for word, vocab_ in sorted(iteritems(vocab), key=lambda item: -item[1].count): - vout.write(utils.to_utf8("%s %s\n" % (word, vocab_.count))) - logger.info("storing %sx%s projection weights into %s", total_vec, vector_size, fname) - assert (len(vocab), vector_size) == vectors.shape - with utils.smart_open(fname, 'wb') as fout: - fout.write(utils.to_utf8("%s %s\n" % (total_vec, vector_size))) - # store in sorted order: most frequent words at the top + """Store the input-hidden weight matrix in the same format used by the original + C word2vec-tool, for compatibility. + + Parameters + ---------- + fname : str + The file path used to save the vectors in. + vocab : dict + The vocabulary of words. + vectors : numpy.array + The vectors to be stored. + fvocab : str, optional + File path used to save the vocabulary. + binary : bool, optional + If True, the data wil be saved in binary word2vec format, else it will be saved in plain text. + total_vec : int, optional + Explicitly specify total number of vectors + (in case word vectors are appended with document vectors afterwards). + + """ + if not (vocab or vectors): + raise RuntimeError("no input") + if total_vec is None: + total_vec = len(vocab) + vector_size = vectors.shape[1] + if fvocab is not None: + logger.info("storing vocabulary in %s", fvocab) + with utils.smart_open(fvocab, 'wb') as vout: for word, vocab_ in sorted(iteritems(vocab), key=lambda item: -item[1].count): - row = vectors[vocab_.index] - if binary: - row = row.astype(REAL) - fout.write(utils.to_utf8(word) + b" " + row.tostring()) - else: - fout.write(utils.to_utf8("%s %s\n" % (word, ' '.join(repr(val) for val in row)))) + vout.write(utils.to_utf8("%s %s\n" % (word, vocab_.count))) + logger.info("storing %sx%s projection weights into %s", total_vec, vector_size, fname) + assert (len(vocab), vector_size) == vectors.shape + with utils.smart_open(fname, 'wb') as fout: + fout.write(utils.to_utf8("%s %s\n" % (total_vec, vector_size))) + # store in sorted order: most frequent words at the top + for word, vocab_ in sorted(iteritems(vocab), key=lambda item: -item[1].count): + row = vectors[vocab_.index] + if binary: + row = row.astype(REAL) + fout.write(utils.to_utf8(word) + b" " + row.tostring()) + else: + fout.write(utils.to_utf8("%s %s\n" % (word, ' '.join(repr(val) for val in row)))) def _load_word2vec_format(cls, fname, fvocab=None, binary=False, encoding='utf8', unicode_errors='strict', diff --git a/gensim/similarities/__init__.py b/gensim/similarities/__init__.py index 1becd76831..3c670ba95b 100644 --- a/gensim/similarities/__init__.py +++ b/gensim/similarities/__init__.py @@ -3,6 +3,15 @@ """ # bring classes directly into package namespace, to save some typing -from .docsim import Similarity, MatrixSimilarity, SparseMatrixSimilarity, SoftCosineSimilarity, WmdSimilarity # noqa:F401 -from .termsim import TermSimilarityIndex, UniformTermSimilarityIndex, SparseTermSimilarityMatrix # noqa:F401 + +from .docsim import ( # noqa:F401 + Similarity, + MatrixSimilarity, + SparseMatrixSimilarity, + SoftCosineSimilarity, + WmdSimilarity) +from .termsim import ( # noqa:F401 + TermSimilarityIndex, + UniformTermSimilarityIndex, + SparseTermSimilarityMatrix) from .levenshtein import LevenshteinSimilarityIndex # noqa:F401 diff --git a/gensim/test/test_ldaseqmodel.py b/gensim/test/test_ldaseqmodel.py index eb6ea120f6..227c78b4f6 100644 --- a/gensim/test/test_ldaseqmodel.py +++ b/gensim/test/test_ldaseqmodel.py @@ -13,7 +13,7 @@ class TestLdaSeq(unittest.TestCase): - # we are setting up a DTM model and fitting it, and checking topic-word and doc-topic results. + # we are setting up a DTM model and fitting it, and checking topic-word and doc-topic results. def setUp(self): texts = [ [u'senior', u'studios', u'studios', u'studios', u'creators', u'award', u'mobile', u'currently', From 366d8ae22ff944ffcddc41b47f1cc492a65a5f0a Mon Sep 17 00:00:00 2001 From: Timofey Yefimov Date: Thu, 31 Jan 2019 05:40:18 +0300 Subject: [PATCH 12/31] NMF optimization & documentation (#2361) * Implement first version of the algorithm * Fix variable names * Add support for streaming corpora * Add benchmark * Fix bugs, introduce batches, add images to the benchmark notebook * Update notebook * Improve model 1. Improved performance ~4x 2. LDA-like API 3. BOW compatibility * Add show topics, change API * Add more LDA-like API * Fix logger name * Add more LDA API * Remove redundant method * Remove commented out lines * Fix flakes * Cythonize * Dramatically improve performance * Add parameters, improve accuracy and speed * Remove redundant W copying * Fix random seed again * Optimize E/M step * Add an eval_every option, use softmax for normalization * Fixes * Improve notebook examples a bit * Fix eval_every * Return outliers * Optimizations * Experimenting with loss * Fix PEP8 * Return nmf import * Revert "Return nmf import" This reverts commit 1c3a064 * Fix * Fix minimum_probability & info -> debug logs * Compute metrics * Count error on-the-fly * Speed optimizations, changed error functions * Beat LDA * Outperform sklearn in speed (WTF) * Remove redundant arg * Add Olivietti faces * Remove redundant code * Add Topics * Make it pretty * Fix wrapper * Save corpus & dict, minor fixes * Add RandomCorpus * Dense -> sparse * First doc2dense * Fix csc again * Fix len * Experimenting * Revert "Experimenting" This reverts commit 7a3ef47466611b82f198f2463fa0ddf178c7da23. * Fix evaluation * Sparse speedup * Improve performance * Divide A and B again * Fix A and B computation bug * Sparsify W init * Experimenting * New norm * Sparse threshold -> sparse coefficient * Optimize residuals computation * Fix residuals bug * W speedup * Experiment * Revert changes a bit * Fix corpus * Fix init error| * Resolve conflict * Fix corpus iteration issue * Switch to numpy algos * Train on wikipedia * Sparse coef -> density. More stable way to sparsify W matrix * Return old sparse algo * Max * Optimizations * Fix A and B computation * Fix A and B normalization * Add random_state * Infer id2word * Fix tests * Document __init__ * Document whole nmf * Remove unnecessary comments * Add tutorial notebook * Document __init__ * Fix flake version * Fix flake warning * Remove comments, reverse parallelization order * Add NMF's cython extension to setup.py * Fix imports, add solve_r function * Remove comments * Add docstrings * Common corpus and common dictionary * Remove redundant test * Add signature flag * Add files to manifest * Fix flake8 * Fix atol value * Implement top topics * Add rst files * Fix appveyor issue * Fix cython error * Fix fmax/fmin not being on win-python27 * Add word transformation test * Improve readability of residuals computation * Fix tests * A few fixes * Blank line at the end of each docstring * Add blank line * Add the paper reference * Fix long line * Add log_perplexity * Add NMF and LDA comparison table * Change the sign of log perplexity * Add Sklearn NMF comparison * Merge sklearn and tm tables * Add F1 * Remove _solve_r * Merge tutorial and benchmark * Identation's back * Optimize optimizers * Remove unnecessary pic * Optimize memory consumption * Add docstring * Optimize get_topic_words * Fix tests * Fix flake8 * Add missing test * Code review fixes * n_tokens -> num_tokens * [skip ci] Add explicit normalize parameter * [skip ci] Add explicit normalize parameter[2] * [skip ci] Update tutorial notebook * [skip ci] [WIP] Update wikipedia notebook * Add more description and metrics * [skip ci] Fix log_probabiliy * Multiple format fixes in notebook, outputs cleared til tomorrow * Train on full corpus * [skip ci] Remove disclaimer * Add RAM usage stats * Native 20-newsgroups and additional text * Truncate outputs * Fix last cell formatting * [skip ci] Change model hyperparameters back * [skip ci] Add module docstring * [skip ci] Massive speedups Replaced some sparse matrices with dense. * Checkout nmf_wikipedia from develop * Fix tests * Fix corpus description * Add components permutation to coordinate descent * Fix tests * Fix dictionary highlight * Fix tests again * Remove r, it's not used for the time * Deprecate use_r * [skip ci] Rearrange params * [skip ci] Add disclaimer about `r` * Fix `normalize` and `minimum_probability` docstring * Remove unused params * Add csc support * Add examples to the docstring * Update tutorial notebook * [skip ci] Update tutorial again * [skip ci] fix PEP * cast explicitly permutations to int32 * [skip ci] Fix a typo * [skip ci] Remove clip and fix error count in update * [skip ci] Fix error computation * [skip ci] Fix error counting again * [skip ci] Remove redundant imports * Fix grouper for csc matrices * Fix module docstring * Fix training corpus description * Fix pep8 * Fix flake8 for real * Normalize, sparsity and dictionary fixes * Updated module docstring in the notebook --- docs/notebooks/nmf_tutorial.ipynb | 1046 +++--- gensim/models/nmf.py | 426 ++- gensim/models/nmf_pgd.c | 5108 ++++++++++++----------------- gensim/models/nmf_pgd.pyx | 114 +- 4 files changed, 2746 insertions(+), 3948 deletions(-) diff --git a/docs/notebooks/nmf_tutorial.ipynb b/docs/notebooks/nmf_tutorial.ipynb index 49e5f02bc3..fc9e31f111 100644 --- a/docs/notebooks/nmf_tutorial.ipynb +++ b/docs/notebooks/nmf_tutorial.ipynb @@ -26,7 +26,47 @@ "\n", "Why **Online**? Because corpora are large and RAM is limited. Online NMF can learn topics iteratively.\n", "\n", - "This particular implementation is based on [this paper](arxiv.org/abs/1604.02634)." + "This particular implementation is based on [this paper](https://arxiv.org/abs/1604.02634).\n", + "\n", + "The main attributes are following:\n", + "\n", + "- W is a word-topic matrix\n", + "- h is a topic-document matrix\n", + "- v is an input word-document matrix\n", + "- A, B - matrices that accumulate information from every consecutive chunk. A = h.dot(ht), B = v.dot(ht).\n", + "\n", + "The idea of the algorithm is as follows:\n", + "\n", + "```\n", + " Initialize W, A and B matrices\n", + "\n", + " Input corpus\n", + " Split corpus to batches\n", + "\n", + " for v in batches:\n", + " infer h:\n", + " do coordinate gradient descent step to find h that minimizes (v - Wh) l2 norm\n", + "\n", + " bound h so that it is non-negative\n", + "\n", + " update A and B:\n", + " A = h.dot(ht)\n", + " B = v.dot(ht)\n", + "\n", + " update W:\n", + " do gradient descent step to find W that minimizes 0.5*trace(WtWA) - trace(WtB) l2 norm\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## What's in this tutorial?\n", + "\n", + "- Basic training example\n", + "- Comparison with alternative models (LDA and Sklearn NMF)\n", + "- Non-standart application (image decomposition)" ] }, { @@ -40,8 +80,22 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/anotherbugmaster/.virtualenvs/gensim/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n", + " return f(*args, **kwds)\n" + ] + } + ], "source": [ + "%load_ext autoreload\n", + "%load_ext line_profiler\n", + "\n", + "%autoreload 2\n", + "\n", "import logging\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -155,11 +209,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-17 14:47:54,339 : INFO : adding document #0 to Dictionary(0 unique tokens: [])\n", - "2019-01-17 14:47:54,673 : INFO : built Dictionary(25279 unique tokens: ['actual', 'assum', 'babbl', 'batka', 'batkaj']...) from 2819 documents (total 435328 corpus positions)\n", - "2019-01-17 14:47:54,701 : INFO : discarding 18198 tokens: [('batka', 1), ('batkaj', 1), ('beatl', 1), ('ccmail', 3), ('dayton', 4), ('edu', 1785), ('inhibit', 1), ('jbatka', 1), ('line', 2748), ('organ', 2602)]...\n", - "2019-01-17 14:47:54,702 : INFO : keeping 7081 tokens which were in no less than 5 and no more than 1409 (=50.0%) documents\n", - "2019-01-17 14:47:54,712 : INFO : resulting dictionary: Dictionary(7081 unique tokens: ['actual', 'assum', 'babbl', 'burster', 'caus']...)\n" + "2019-01-31 03:18:20,423 : INFO : adding document #0 to Dictionary(0 unique tokens: [])\n", + "2019-01-31 03:18:21,151 : INFO : built Dictionary(25279 unique tokens: ['actual', 'assum', 'babbl', 'batka', 'batkaj']...) from 2819 documents (total 435328 corpus positions)\n", + "2019-01-31 03:18:21,253 : INFO : discarding 18198 tokens: [('batka', 1), ('batkaj', 1), ('beatl', 1), ('ccmail', 3), ('dayton', 4), ('edu', 1785), ('inhibit', 1), ('jbatka', 1), ('line', 2748), ('organ', 2602)]...\n", + "2019-01-31 03:18:21,255 : INFO : keeping 7081 tokens which were in no less than 5 and no more than 1409 (=50.0%) documents\n", + "2019-01-31 03:18:21,300 : INFO : resulting dictionary: Dictionary(7081 unique tokens: ['actual', 'assum', 'babbl', 'burster', 'caus']...)\n" ] } ], @@ -202,12 +256,33 @@ "\n", "The API works in the way similar to [Gensim.models.LdaModel](https://radimrehurek.com/gensim/models/ldamodel.html).\n", "\n", - "Specific parameters:\n", + "Special parameters:\n", + "\n", + "- `kappa` float, optional\n", + "\n", + " Gradient descent step size.\n", + " \n", + " Larger value makes the model train faster, but could lead to non-convergence if set too large.\n", + " \n", + " \n", + "- `w_max_iter` int, optional\n", + "\n", + " Maximum number of iterations to train W per each batch.\n", + " \n", + " \n", + "- `w_stop_condition` float, optional\n", "\n", - "- `use_r` - whether to use residuals. Effectively adds regularization to the model\n", - "- `kappa` - optimizer step size coefficient.\n", - "- `lambda_` - residuals coefficient. The larger it is, the less more regularized result gets.\n", - "- `sparse_coef` - internal matrices sparse coefficient. The more it is, the faster and less accurate training is." + " If error difference gets less than that, training of ``W`` stops for the current batch.\n", + " \n", + " \n", + "- `h_r_max_iter` int, optional\n", + "\n", + " Maximum number of iterations to train h per each batch.\n", + " \n", + " \n", + "- `h_r_stop_condition` float\n", + "\n", + " If error difference gets less than that, training of ``h`` stops for the current batch." ] }, { @@ -219,16 +294,16 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-17 14:47:56,086 : INFO : Loss (no outliers): 547.4249457586467\tLoss (with outliers): 547.4249457586467\n", - "2019-01-17 14:47:56,387 : INFO : Loss (no outliers): 638.2126742605573\tLoss (with outliers): 638.2126742605573\n" + "2019-01-31 03:18:22,816 : INFO : Loss: 1.0280021673693736\n", + "2019-01-31 03:18:23,067 : INFO : Loss: 0.9805869534381415\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.23 s, sys: 30.1 ms, total: 1.26 s\n", - "Wall time: 1.27 s\n" + "CPU times: user 795 ms, sys: 20.2 ms, total: 815 ms\n", + "Wall time: 814 ms\n" ] } ], @@ -237,15 +312,13 @@ "\n", "nmf = GensimNmf(\n", " corpus=train_corpus,\n", - " chunksize=1000,\n", " num_topics=5,\n", " id2word=dictionary,\n", + " chunksize=1000,\n", " passes=5,\n", " eval_every=10,\n", " minimum_probability=0,\n", " random_state=42,\n", - " use_r=False,\n", - " lambda_=1000,\n", " kappa=1,\n", ")" ] @@ -266,15 +339,15 @@ "data": { "text/plain": [ "[(0,\n", - " '0.021*\"armenian\" + 0.020*\"peopl\" + 0.019*\"said\" + 0.017*\"know\" + 0.010*\"went\" + 0.010*\"sai\" + 0.010*\"like\" + 0.010*\"apart\" + 0.009*\"come\" + 0.009*\"azerbaijani\"'),\n", + " '0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*\"said\" + 0.013*\"know\" + 0.008*\"went\" + 0.008*\"sai\" + 0.007*\"like\" + 0.007*\"apart\" + 0.007*\"come\" + 0.007*\"azerbaijani\"'),\n", " (1,\n", - " '0.094*\"jpeg\" + 0.040*\"file\" + 0.039*\"gif\" + 0.033*\"imag\" + 0.030*\"color\" + 0.021*\"format\" + 0.018*\"qualiti\" + 0.016*\"convert\" + 0.016*\"compress\" + 0.016*\"version\"'),\n", + " '0.074*\"jpeg\" + 0.032*\"file\" + 0.031*\"gif\" + 0.028*\"imag\" + 0.024*\"color\" + 0.017*\"format\" + 0.014*\"qualiti\" + 0.013*\"convert\" + 0.013*\"compress\" + 0.013*\"version\"'),\n", " (2,\n", - " '0.046*\"imag\" + 0.021*\"graphic\" + 0.018*\"data\" + 0.016*\"file\" + 0.016*\"ftp\" + 0.016*\"pub\" + 0.015*\"avail\" + 0.013*\"format\" + 0.012*\"program\" + 0.012*\"packag\"'),\n", + " '0.030*\"imag\" + 0.014*\"graphic\" + 0.012*\"data\" + 0.010*\"file\" + 0.010*\"pub\" + 0.010*\"ftp\" + 0.010*\"avail\" + 0.008*\"format\" + 0.008*\"program\" + 0.008*\"packag\"'),\n", " (3,\n", - " '0.035*\"god\" + 0.029*\"atheist\" + 0.021*\"believ\" + 0.021*\"exist\" + 0.018*\"atheism\" + 0.016*\"religion\" + 0.015*\"peopl\" + 0.014*\"christian\" + 0.013*\"religi\" + 0.012*\"israel\"'),\n", + " '0.015*\"god\" + 0.012*\"atheist\" + 0.009*\"believ\" + 0.009*\"exist\" + 0.008*\"atheism\" + 0.007*\"peopl\" + 0.007*\"religion\" + 0.006*\"christian\" + 0.006*\"israel\" + 0.006*\"religi\"'),\n", " (4,\n", - " '0.044*\"space\" + 0.029*\"launch\" + 0.020*\"satellit\" + 0.013*\"orbit\" + 0.013*\"nasa\" + 0.011*\"year\" + 0.010*\"mission\" + 0.009*\"new\" + 0.009*\"commerci\" + 0.009*\"market\"')]" + " '0.028*\"space\" + 0.019*\"launch\" + 0.013*\"satellit\" + 0.009*\"orbit\" + 0.008*\"nasa\" + 0.007*\"year\" + 0.007*\"mission\" + 0.006*\"new\" + 0.006*\"commerci\" + 0.005*\"market\"')]" ] }, "execution_count": 8, @@ -290,7 +363,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Coherence" + "### Coherence\n", + "\n", + "Here's a [description of what coherence is](http://qpleple.com/topic-coherence-to-evaluate-topic-models/). Basically it measures how often do most frequent tokens from each topic co-occur in one document." ] }, { @@ -302,13 +377,13 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-17 14:47:56,425 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n" + "2019-01-31 03:18:23,179 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n" ] }, { "data": { "text/plain": [ - "-1.7121027413685233" + "-1.7053902612634844" ] }, "execution_count": 9, @@ -328,7 +403,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Perplexity" + "### Perplexity\n", + "\n", + "[Perplexity](http://qpleple.com/perplexity-to-evaluate-topic-models/) is basically a degree of uncertainty of the model, i.e. how probable it is to observe a particular set of documents." ] }, { @@ -339,7 +416,7 @@ { "data": { "text/plain": [ - "55.22863930899718" + "2501.280703411481" ] }, "execution_count": 10, @@ -357,7 +434,9 @@ "lines_to_next_cell": 2 }, "source": [ - "### Document topics inference" + "### Document topics inference\n", + "\n", + "Let's get some news and infer a topic vector." ] }, { @@ -395,12 +474,14 @@ "\"Until I meet you, then, in Upper Hell\n", "Convulsed, foaming immortal blood: farewell\" - J. Berryman, \"A Professor's Song\"\n", "\n", - "Topics: [(0, 0.29204189080735804), (1, 0.026352973191825578), (2, 0.36870720087404435), (3, 0.28605983002406815), (4, 0.02683810510270401)]\n" + "====================================================================================================\n", + "Topics: [(0, 0.29903293372372697), (1, 0.007751538808305081), (2, 0.41698421255575224), (3, 0.27623131491221575)]\n" ] } ], "source": [ "print(testset[0]['data'])\n", + "print('=' * 100)\n", "print(\"Topics: {}\".format(nmf[test_corpus[0]]))" ] }, @@ -408,7 +489,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Word topic inference" + "### Word topic inference\n", + "\n", + "Here's an example of topic distribution inference for a token." ] }, { @@ -423,7 +506,7 @@ "output_type": "stream", "text": [ "Word: actual\n", - "Topics: [(1, 0.20201598559144582), (3, 0.7979840144085542)]\n" + "Topics: [(0, 0.04910674896578284), (1, 0.1277766177062051), (2, 0.07803764680331245), (3, 0.6584104509982174), (4, 0.08666853552648228)]\n" ] } ], @@ -440,6 +523,13 @@ "### Internal state" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Density is a fraction of non-zero elements in a matrix." + ] + }, { "cell_type": "code", "execution_count": 13, @@ -448,8 +538,8 @@ }, "outputs": [], "source": [ - "def density(sparse_matrix):\n", - " return sparse_matrix.nnz / np.multiply(*sparse_matrix.shape)" + "def density(matrix):\n", + " return (matrix > 0).mean()" ] }, { @@ -463,33 +553,12 @@ "cell_type": "code", "execution_count": 14, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<7081x5 sparse matrix of type ''\n", - "\twith 1735 stored elements in Compressed Sparse Column format>" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nmf._W" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Density: 0.04900437791272419\n" + "Density: 0.6427905663041943\n" ] } ], @@ -506,35 +575,14 @@ }, { "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<5x819 sparse matrix of type ''\n", - "\twith 3593 stored elements in Compressed Sparse Row format>" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nmf._h" - ] - }, - { - "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Density: 0.8774114774114774\n" + "Density: 0.8424908424908425\n" ] } ], @@ -549,44 +597,6 @@ "Residuals matrix of the last batch of shape `(words, batch)`" ] }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "<7081x819 sparse matrix of type ''\n", - "\twith 0 stored elements in Compressed Sparse Row format>" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nmf._r" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Density: 0.0\n" - ] - } - ], - "source": [ - "print(\"Density: {}\".format(density(nmf._r)))" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -598,23 +608,27 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Gensim NMF vs Sklearn NMF vs Gensim LDA" + "## Gensim NMF vs Sklearn NMF vs Gensim LDA\n", + "\n", + "We'll run all the models on the [20newsgroups](https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html) dataset, which has texts and labels for them.\n", + "\n", + "### Metrics\n", + "\n", + "- train time: time to train a model in seconds\n", + "- coherence: coherence score (not defined for sklearn NMF). Classic metric for topic models.\n", + "- perplexity: perplexity score. Another usual TM metric\n", + "- f1: f1 on the task of news topic classification\n", + "- l2_norm: l2 matrix norm" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": { "lines_to_next_cell": 2 }, "outputs": [], "source": [ - "variable_params_grid = list(ParameterGrid(dict(\n", - " use_r=[False, True],\n", - " sparse_coef=[0, 3],\n", - " lambda_=[1, 10, 100]\n", - ")))\n", - "\n", "fixed_params = dict(\n", " corpus=train_corpus,\n", " chunksize=1000,\n", @@ -629,7 +643,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": { "lines_to_next_cell": 2 }, @@ -637,7 +651,6 @@ "source": [ "def get_execution_time(func):\n", " start = time.time()\n", - "\n", " result = func()\n", "\n", " return (time.time() - start), result\n", @@ -692,14 +705,11 @@ " coherence='u_mass'\n", " ).get_coherence()\n", "\n", - " topics = model.show_topics()\n", - "\n", " model.normalize = False\n", "\n", " return dict(\n", " perplexity=perplexity,\n", " coherence=coherence,\n", - " topics=topics,\n", " l2_norm=l2_norm,\n", " f1=f1,\n", " )\n", @@ -735,9 +745,16 @@ " )" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the models" + ] + }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 18, "metadata": { "scrolled": true }, @@ -746,184 +763,151 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-17 14:48:02,685 : INFO : using symmetric alpha at 0.2\n", - "2019-01-17 14:48:02,685 : INFO : using symmetric eta at 0.2\n", - "2019-01-17 14:48:02,687 : INFO : using serial LDA version on this node\n", - "2019-01-17 14:48:02,693 : INFO : running online (multi-pass) LDA training, 5 topics, 5 passes over the supplied corpus of 2819 documents, updating model once every 1000 documents, evaluating perplexity every 2819 documents, iterating 50x with a convergence threshold of 0.001000\n", - "2019-01-17 14:48:02,694 : INFO : PROGRESS: pass 0, at document #1000/2819\n", - "2019-01-17 14:48:03,679 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:03,684 : INFO : topic #0 (0.200): 0.006*\"com\" + 0.005*\"new\" + 0.005*\"peopl\" + 0.004*\"space\" + 0.004*\"like\" + 0.004*\"univers\" + 0.004*\"time\" + 0.004*\"nntp\" + 0.004*\"armenian\" + 0.004*\"host\"\n", - "2019-01-17 14:48:03,684 : INFO : topic #1 (0.200): 0.007*\"com\" + 0.005*\"like\" + 0.005*\"peopl\" + 0.005*\"know\" + 0.004*\"think\" + 0.004*\"time\" + 0.004*\"god\" + 0.004*\"univers\" + 0.004*\"said\" + 0.004*\"host\"\n", - "2019-01-17 14:48:03,685 : INFO : topic #2 (0.200): 0.005*\"time\" + 0.005*\"like\" + 0.005*\"com\" + 0.005*\"israel\" + 0.005*\"space\" + 0.005*\"univers\" + 0.004*\"peopl\" + 0.004*\"islam\" + 0.004*\"host\" + 0.004*\"isra\"\n", - "2019-01-17 14:48:03,686 : INFO : topic #3 (0.200): 0.008*\"com\" + 0.006*\"jpeg\" + 0.006*\"imag\" + 0.005*\"nntp\" + 0.005*\"think\" + 0.005*\"file\" + 0.005*\"host\" + 0.004*\"like\" + 0.004*\"univers\" + 0.004*\"graphic\"\n", - "2019-01-17 14:48:03,687 : INFO : topic #4 (0.200): 0.007*\"peopl\" + 0.006*\"space\" + 0.006*\"com\" + 0.005*\"armenian\" + 0.004*\"know\" + 0.004*\"nasa\" + 0.003*\"right\" + 0.003*\"like\" + 0.003*\"point\" + 0.003*\"time\"\n", - "2019-01-17 14:48:03,687 : INFO : topic diff=1.649469, rho=1.000000\n", - "2019-01-17 14:48:03,688 : INFO : PROGRESS: pass 0, at document #2000/2819\n", - "2019-01-17 14:48:04,584 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:04,589 : INFO : topic #0 (0.200): 0.006*\"com\" + 0.006*\"space\" + 0.005*\"new\" + 0.005*\"armenian\" + 0.005*\"univers\" + 0.004*\"like\" + 0.004*\"peopl\" + 0.004*\"time\" + 0.004*\"nntp\" + 0.004*\"turkish\"\n", - "2019-01-17 14:48:04,590 : INFO : topic #1 (0.200): 0.007*\"peopl\" + 0.007*\"com\" + 0.006*\"know\" + 0.006*\"like\" + 0.006*\"think\" + 0.005*\"god\" + 0.005*\"said\" + 0.004*\"time\" + 0.004*\"thing\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:04,590 : INFO : topic #2 (0.200): 0.007*\"israel\" + 0.005*\"isra\" + 0.005*\"peopl\" + 0.005*\"islam\" + 0.005*\"like\" + 0.005*\"time\" + 0.005*\"univers\" + 0.005*\"state\" + 0.004*\"god\" + 0.004*\"know\"\n", - "2019-01-17 14:48:04,591 : INFO : topic #3 (0.200): 0.011*\"imag\" + 0.009*\"com\" + 0.007*\"file\" + 0.006*\"graphic\" + 0.005*\"program\" + 0.005*\"like\" + 0.005*\"host\" + 0.004*\"nntp\" + 0.004*\"univers\" + 0.004*\"us\"\n", - "2019-01-17 14:48:04,592 : INFO : topic #4 (0.200): 0.011*\"armenian\" + 0.009*\"peopl\" + 0.009*\"space\" + 0.005*\"know\" + 0.005*\"nasa\" + 0.004*\"com\" + 0.004*\"right\" + 0.004*\"like\" + 0.003*\"said\" + 0.003*\"armenia\"\n", - "2019-01-17 14:48:04,592 : INFO : topic diff=0.848670, rho=0.707107\n", - "2019-01-17 14:48:05,706 : INFO : -8.075 per-word bound, 269.6 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", - "2019-01-17 14:48:05,707 : INFO : PROGRESS: pass 0, at document #2819/2819\n", - "2019-01-17 14:48:06,380 : INFO : merging changes from 819 documents into a model of 2819 documents\n", - "2019-01-17 14:48:06,384 : INFO : topic #0 (0.200): 0.006*\"com\" + 0.006*\"space\" + 0.005*\"new\" + 0.005*\"turkish\" + 0.005*\"bike\" + 0.005*\"univers\" + 0.004*\"year\" + 0.004*\"like\" + 0.004*\"armenian\" + 0.004*\"time\"\n", - "2019-01-17 14:48:06,386 : INFO : topic #1 (0.200): 0.009*\"com\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.006*\"think\" + 0.006*\"god\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"said\" + 0.004*\"moral\" + 0.004*\"time\"\n", - "2019-01-17 14:48:06,386 : INFO : topic #2 (0.200): 0.010*\"israel\" + 0.007*\"isra\" + 0.006*\"jew\" + 0.006*\"peopl\" + 0.005*\"state\" + 0.005*\"univers\" + 0.005*\"islam\" + 0.005*\"think\" + 0.005*\"time\" + 0.004*\"arab\"\n", - "2019-01-17 14:48:06,387 : INFO : topic #3 (0.200): 0.011*\"com\" + 0.009*\"graphic\" + 0.009*\"imag\" + 0.007*\"file\" + 0.006*\"program\" + 0.005*\"host\" + 0.005*\"nntp\" + 0.005*\"softwar\" + 0.005*\"us\" + 0.005*\"like\"\n", - "2019-01-17 14:48:06,388 : INFO : topic #4 (0.200): 0.014*\"armenian\" + 0.010*\"space\" + 0.008*\"peopl\" + 0.006*\"turkish\" + 0.005*\"launch\" + 0.004*\"nasa\" + 0.004*\"year\" + 0.004*\"turkei\" + 0.004*\"armenia\" + 0.004*\"know\"\n", - "2019-01-17 14:48:06,389 : INFO : topic diff=0.663292, rho=0.577350\n", - "2019-01-17 14:48:06,390 : INFO : PROGRESS: pass 1, at document #1000/2819\n", - "2019-01-17 14:48:07,142 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:07,147 : INFO : topic #0 (0.200): 0.007*\"com\" + 0.007*\"space\" + 0.005*\"new\" + 0.005*\"bike\" + 0.005*\"univers\" + 0.004*\"like\" + 0.004*\"turkish\" + 0.004*\"time\" + 0.004*\"year\" + 0.004*\"nntp\"\n", - "2019-01-17 14:48:07,148 : INFO : topic #1 (0.200): 0.009*\"com\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"god\" + 0.006*\"think\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"said\"\n", - "2019-01-17 14:48:07,148 : INFO : topic #2 (0.200): 0.011*\"israel\" + 0.009*\"isra\" + 0.006*\"peopl\" + 0.006*\"jew\" + 0.005*\"arab\" + 0.005*\"islam\" + 0.005*\"think\" + 0.005*\"right\" + 0.005*\"state\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:07,149 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"com\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.006*\"program\" + 0.005*\"host\" + 0.005*\"us\" + 0.005*\"jpeg\" + 0.005*\"nntp\" + 0.005*\"univers\"\n", - "2019-01-17 14:48:07,150 : INFO : topic #4 (0.200): 0.014*\"armenian\" + 0.011*\"space\" + 0.008*\"peopl\" + 0.006*\"nasa\" + 0.006*\"turkish\" + 0.005*\"launch\" + 0.004*\"year\" + 0.004*\"armenia\" + 0.004*\"said\" + 0.004*\"orbit\"\n", - "2019-01-17 14:48:07,150 : INFO : topic diff=0.431707, rho=0.455535\n", - "2019-01-17 14:48:07,151 : INFO : PROGRESS: pass 1, at document #2000/2819\n", - "2019-01-17 14:48:07,831 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:07,836 : INFO : topic #0 (0.200): 0.008*\"space\" + 0.007*\"com\" + 0.006*\"new\" + 0.005*\"bike\" + 0.005*\"univers\" + 0.004*\"like\" + 0.004*\"year\" + 0.004*\"nntp\" + 0.004*\"host\" + 0.004*\"time\"\n", - "2019-01-17 14:48:07,837 : INFO : topic #1 (0.200): 0.009*\"com\" + 0.008*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"said\"\n", - "2019-01-17 14:48:07,838 : INFO : topic #2 (0.200): 0.011*\"israel\" + 0.009*\"isra\" + 0.007*\"jew\" + 0.006*\"peopl\" + 0.006*\"arab\" + 0.006*\"islam\" + 0.005*\"state\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:07,838 : INFO : topic #3 (0.200): 0.013*\"imag\" + 0.010*\"com\" + 0.008*\"file\" + 0.008*\"graphic\" + 0.007*\"program\" + 0.005*\"us\" + 0.005*\"host\" + 0.005*\"univers\" + 0.005*\"softwar\" + 0.005*\"nntp\"\n", - "2019-01-17 14:48:07,839 : INFO : topic #4 (0.200): 0.016*\"armenian\" + 0.010*\"space\" + 0.009*\"peopl\" + 0.005*\"turkish\" + 0.005*\"said\" + 0.005*\"nasa\" + 0.005*\"know\" + 0.004*\"armenia\" + 0.004*\"year\" + 0.004*\"like\"\n", - "2019-01-17 14:48:07,840 : INFO : topic diff=0.436104, rho=0.455535\n", - "2019-01-17 14:48:08,814 : INFO : -7.846 per-word bound, 230.1 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", - "2019-01-17 14:48:08,815 : INFO : PROGRESS: pass 1, at document #2819/2819\n", - "2019-01-17 14:48:09,364 : INFO : merging changes from 819 documents into a model of 2819 documents\n", - "2019-01-17 14:48:09,368 : INFO : topic #0 (0.200): 0.008*\"space\" + 0.007*\"com\" + 0.006*\"bike\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"year\" + 0.004*\"like\" + 0.004*\"orbit\" + 0.004*\"dod\" + 0.004*\"host\"\n", - "2019-01-17 14:48:09,370 : INFO : topic #1 (0.200): 0.010*\"com\" + 0.008*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"said\"\n", - "2019-01-17 14:48:09,371 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.009*\"isra\" + 0.008*\"jew\" + 0.007*\"peopl\" + 0.006*\"arab\" + 0.005*\"state\" + 0.005*\"islam\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:09,374 : INFO : topic #3 (0.200): 0.011*\"imag\" + 0.010*\"com\" + 0.010*\"graphic\" + 0.008*\"file\" + 0.007*\"program\" + 0.006*\"softwar\" + 0.005*\"host\" + 0.005*\"us\" + 0.005*\"nntp\" + 0.005*\"univers\"\n", - "2019-01-17 14:48:09,374 : INFO : topic #4 (0.200): 0.017*\"armenian\" + 0.009*\"turkish\" + 0.009*\"space\" + 0.008*\"peopl\" + 0.005*\"said\" + 0.005*\"launch\" + 0.005*\"armenia\" + 0.005*\"year\" + 0.005*\"nasa\" + 0.004*\"turkei\"\n" + "2019-01-31 03:18:27,010 : INFO : using symmetric alpha at 0.2\n", + "2019-01-31 03:18:27,012 : INFO : using symmetric eta at 0.2\n", + "2019-01-31 03:18:27,018 : INFO : using serial LDA version on this node\n", + "2019-01-31 03:18:27,026 : INFO : running online (multi-pass) LDA training, 5 topics, 5 passes over the supplied corpus of 2819 documents, updating model once every 1000 documents, evaluating perplexity every 2819 documents, iterating 50x with a convergence threshold of 0.001000\n", + "2019-01-31 03:18:27,027 : INFO : PROGRESS: pass 0, at document #1000/2819\n", + "2019-01-31 03:18:28,047 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:28,052 : INFO : topic #0 (0.200): 0.006*\"com\" + 0.005*\"new\" + 0.005*\"peopl\" + 0.004*\"space\" + 0.004*\"like\" + 0.004*\"univers\" + 0.004*\"time\" + 0.004*\"nntp\" + 0.004*\"armenian\" + 0.004*\"host\"\n", + "2019-01-31 03:18:28,053 : INFO : topic #1 (0.200): 0.007*\"com\" + 0.005*\"like\" + 0.005*\"peopl\" + 0.005*\"know\" + 0.004*\"think\" + 0.004*\"time\" + 0.004*\"god\" + 0.004*\"univers\" + 0.004*\"said\" + 0.004*\"host\"\n", + "2019-01-31 03:18:28,054 : INFO : topic #2 (0.200): 0.005*\"time\" + 0.005*\"like\" + 0.005*\"com\" + 0.005*\"israel\" + 0.005*\"space\" + 0.005*\"univers\" + 0.004*\"peopl\" + 0.004*\"islam\" + 0.004*\"host\" + 0.004*\"isra\"\n", + "2019-01-31 03:18:28,057 : INFO : topic #3 (0.200): 0.008*\"com\" + 0.006*\"jpeg\" + 0.006*\"imag\" + 0.005*\"nntp\" + 0.005*\"think\" + 0.005*\"file\" + 0.005*\"host\" + 0.004*\"like\" + 0.004*\"univers\" + 0.004*\"graphic\"\n", + "2019-01-31 03:18:28,059 : INFO : topic #4 (0.200): 0.007*\"peopl\" + 0.006*\"space\" + 0.006*\"com\" + 0.005*\"armenian\" + 0.004*\"know\" + 0.004*\"nasa\" + 0.003*\"right\" + 0.003*\"like\" + 0.003*\"point\" + 0.003*\"time\"\n", + "2019-01-31 03:18:28,060 : INFO : topic diff=1.686979, rho=1.000000\n", + "2019-01-31 03:18:28,062 : INFO : PROGRESS: pass 0, at document #2000/2819\n", + "2019-01-31 03:18:29,018 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:29,025 : INFO : topic #0 (0.200): 0.006*\"com\" + 0.006*\"space\" + 0.005*\"new\" + 0.005*\"armenian\" + 0.005*\"univers\" + 0.004*\"like\" + 0.004*\"peopl\" + 0.004*\"time\" + 0.004*\"nntp\" + 0.004*\"turkish\"\n", + "2019-01-31 03:18:29,027 : INFO : topic #1 (0.200): 0.007*\"peopl\" + 0.007*\"com\" + 0.006*\"know\" + 0.006*\"like\" + 0.006*\"think\" + 0.005*\"god\" + 0.005*\"said\" + 0.004*\"time\" + 0.004*\"thing\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:29,028 : INFO : topic #2 (0.200): 0.007*\"israel\" + 0.005*\"isra\" + 0.005*\"peopl\" + 0.005*\"islam\" + 0.005*\"like\" + 0.005*\"time\" + 0.005*\"univers\" + 0.005*\"state\" + 0.004*\"god\" + 0.004*\"know\"\n", + "2019-01-31 03:18:29,031 : INFO : topic #3 (0.200): 0.011*\"imag\" + 0.009*\"com\" + 0.007*\"file\" + 0.006*\"graphic\" + 0.005*\"program\" + 0.005*\"like\" + 0.005*\"host\" + 0.004*\"nntp\" + 0.004*\"univers\" + 0.004*\"us\"\n", + "2019-01-31 03:18:29,034 : INFO : topic #4 (0.200): 0.011*\"armenian\" + 0.009*\"peopl\" + 0.009*\"space\" + 0.005*\"know\" + 0.005*\"nasa\" + 0.004*\"com\" + 0.004*\"right\" + 0.004*\"like\" + 0.003*\"said\" + 0.003*\"armenia\"\n", + "2019-01-31 03:18:29,035 : INFO : topic diff=0.848667, rho=0.707107\n", + "2019-01-31 03:18:30,239 : INFO : -8.075 per-word bound, 269.6 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", + "2019-01-31 03:18:30,240 : INFO : PROGRESS: pass 0, at document #2819/2819\n", + "2019-01-31 03:18:30,922 : INFO : merging changes from 819 documents into a model of 2819 documents\n", + "2019-01-31 03:18:30,927 : INFO : topic #0 (0.200): 0.006*\"com\" + 0.006*\"space\" + 0.005*\"new\" + 0.005*\"turkish\" + 0.005*\"bike\" + 0.005*\"univers\" + 0.004*\"year\" + 0.004*\"like\" + 0.004*\"armenian\" + 0.004*\"time\"\n", + "2019-01-31 03:18:30,929 : INFO : topic #1 (0.200): 0.009*\"com\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.006*\"think\" + 0.006*\"god\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"said\" + 0.004*\"moral\" + 0.004*\"time\"\n", + "2019-01-31 03:18:30,930 : INFO : topic #2 (0.200): 0.010*\"israel\" + 0.007*\"isra\" + 0.006*\"jew\" + 0.006*\"peopl\" + 0.005*\"state\" + 0.005*\"univers\" + 0.005*\"islam\" + 0.005*\"think\" + 0.005*\"time\" + 0.004*\"arab\"\n", + "2019-01-31 03:18:30,932 : INFO : topic #3 (0.200): 0.011*\"com\" + 0.009*\"graphic\" + 0.009*\"imag\" + 0.007*\"file\" + 0.006*\"program\" + 0.005*\"host\" + 0.005*\"nntp\" + 0.005*\"softwar\" + 0.005*\"us\" + 0.005*\"like\"\n", + "2019-01-31 03:18:30,934 : INFO : topic #4 (0.200): 0.014*\"armenian\" + 0.010*\"space\" + 0.008*\"peopl\" + 0.006*\"turkish\" + 0.005*\"launch\" + 0.004*\"nasa\" + 0.004*\"year\" + 0.004*\"turkei\" + 0.004*\"armenia\" + 0.004*\"know\"\n", + "2019-01-31 03:18:30,935 : INFO : topic diff=0.663294, rho=0.577350\n", + "2019-01-31 03:18:30,939 : INFO : PROGRESS: pass 1, at document #1000/2819\n", + "2019-01-31 03:18:31,707 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:31,711 : INFO : topic #0 (0.200): 0.007*\"com\" + 0.007*\"space\" + 0.005*\"new\" + 0.005*\"bike\" + 0.005*\"univers\" + 0.004*\"like\" + 0.004*\"turkish\" + 0.004*\"time\" + 0.004*\"year\" + 0.004*\"nntp\"\n", + "2019-01-31 03:18:31,714 : INFO : topic #1 (0.200): 0.009*\"com\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"god\" + 0.006*\"think\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"said\"\n", + "2019-01-31 03:18:31,716 : INFO : topic #2 (0.200): 0.011*\"israel\" + 0.009*\"isra\" + 0.006*\"peopl\" + 0.006*\"jew\" + 0.005*\"arab\" + 0.005*\"islam\" + 0.005*\"think\" + 0.005*\"right\" + 0.005*\"state\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:31,717 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"com\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.006*\"program\" + 0.005*\"host\" + 0.005*\"us\" + 0.005*\"jpeg\" + 0.005*\"nntp\" + 0.005*\"univers\"\n", + "2019-01-31 03:18:31,718 : INFO : topic #4 (0.200): 0.014*\"armenian\" + 0.011*\"space\" + 0.008*\"peopl\" + 0.006*\"nasa\" + 0.006*\"turkish\" + 0.005*\"launch\" + 0.004*\"year\" + 0.004*\"armenia\" + 0.004*\"said\" + 0.004*\"orbit\"\n", + "2019-01-31 03:18:31,719 : INFO : topic diff=0.431708, rho=0.455535\n", + "2019-01-31 03:18:31,720 : INFO : PROGRESS: pass 1, at document #2000/2819\n", + "2019-01-31 03:18:32,621 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:32,625 : INFO : topic #0 (0.200): 0.008*\"space\" + 0.007*\"com\" + 0.006*\"new\" + 0.005*\"bike\" + 0.005*\"univers\" + 0.004*\"like\" + 0.004*\"year\" + 0.004*\"nntp\" + 0.004*\"host\" + 0.004*\"time\"\n", + "2019-01-31 03:18:32,626 : INFO : topic #1 (0.200): 0.009*\"com\" + 0.008*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"said\"\n", + "2019-01-31 03:18:32,628 : INFO : topic #2 (0.200): 0.011*\"israel\" + 0.009*\"isra\" + 0.007*\"jew\" + 0.006*\"peopl\" + 0.006*\"arab\" + 0.006*\"islam\" + 0.005*\"state\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:32,630 : INFO : topic #3 (0.200): 0.013*\"imag\" + 0.010*\"com\" + 0.008*\"file\" + 0.008*\"graphic\" + 0.007*\"program\" + 0.005*\"us\" + 0.005*\"host\" + 0.005*\"univers\" + 0.005*\"softwar\" + 0.005*\"nntp\"\n", + "2019-01-31 03:18:32,631 : INFO : topic #4 (0.200): 0.016*\"armenian\" + 0.010*\"space\" + 0.009*\"peopl\" + 0.005*\"turkish\" + 0.005*\"said\" + 0.005*\"nasa\" + 0.005*\"know\" + 0.004*\"armenia\" + 0.004*\"year\" + 0.004*\"like\"\n", + "2019-01-31 03:18:32,632 : INFO : topic diff=0.436104, rho=0.455535\n", + "2019-01-31 03:18:33,790 : INFO : -7.846 per-word bound, 230.1 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", + "2019-01-31 03:18:33,791 : INFO : PROGRESS: pass 1, at document #2819/2819\n", + "2019-01-31 03:18:34,344 : INFO : merging changes from 819 documents into a model of 2819 documents\n", + "2019-01-31 03:18:34,348 : INFO : topic #0 (0.200): 0.008*\"space\" + 0.007*\"com\" + 0.006*\"bike\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"year\" + 0.004*\"like\" + 0.004*\"orbit\" + 0.004*\"dod\" + 0.004*\"host\"\n", + "2019-01-31 03:18:34,349 : INFO : topic #1 (0.200): 0.010*\"com\" + 0.008*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.005*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"said\"\n", + "2019-01-31 03:18:34,351 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.009*\"isra\" + 0.008*\"jew\" + 0.007*\"peopl\" + 0.006*\"arab\" + 0.005*\"state\" + 0.005*\"islam\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:34,353 : INFO : topic #3 (0.200): 0.011*\"imag\" + 0.010*\"com\" + 0.010*\"graphic\" + 0.008*\"file\" + 0.007*\"program\" + 0.006*\"softwar\" + 0.005*\"host\" + 0.005*\"us\" + 0.005*\"nntp\" + 0.005*\"univers\"\n", + "2019-01-31 03:18:34,355 : INFO : topic #4 (0.200): 0.017*\"armenian\" + 0.009*\"turkish\" + 0.009*\"space\" + 0.008*\"peopl\" + 0.005*\"said\" + 0.005*\"launch\" + 0.005*\"armenia\" + 0.005*\"year\" + 0.005*\"nasa\" + 0.004*\"turkei\"\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2019-01-17 14:48:09,377 : INFO : topic diff=0.423402, rho=0.455535\n", - "2019-01-17 14:48:09,378 : INFO : PROGRESS: pass 2, at document #1000/2819\n", - "2019-01-17 14:48:09,997 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:10,002 : INFO : topic #0 (0.200): 0.009*\"space\" + 0.007*\"com\" + 0.006*\"bike\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"orbit\" + 0.004*\"nasa\" + 0.004*\"year\" + 0.004*\"like\" + 0.004*\"time\"\n", - "2019-01-17 14:48:10,003 : INFO : topic #1 (0.200): 0.010*\"com\" + 0.009*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.006*\"thing\" + 0.006*\"moral\" + 0.005*\"time\" + 0.005*\"atheist\"\n", - "2019-01-17 14:48:10,006 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.010*\"isra\" + 0.007*\"jew\" + 0.007*\"peopl\" + 0.006*\"arab\" + 0.006*\"islam\" + 0.005*\"right\" + 0.005*\"think\" + 0.005*\"state\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:10,007 : INFO : topic #3 (0.200): 0.013*\"imag\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.009*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"host\" + 0.005*\"univers\" + 0.005*\"jpeg\" + 0.005*\"nntp\"\n", - "2019-01-17 14:48:10,008 : INFO : topic #4 (0.200): 0.017*\"armenian\" + 0.009*\"turkish\" + 0.008*\"peopl\" + 0.008*\"space\" + 0.005*\"said\" + 0.005*\"nasa\" + 0.005*\"armenia\" + 0.005*\"year\" + 0.004*\"launch\" + 0.004*\"turkei\"\n", - "2019-01-17 14:48:10,008 : INFO : topic diff=0.333963, rho=0.414549\n", - "2019-01-17 14:48:10,010 : INFO : PROGRESS: pass 2, at document #2000/2819\n", - "2019-01-17 14:48:10,635 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:10,640 : INFO : topic #0 (0.200): 0.011*\"space\" + 0.008*\"com\" + 0.006*\"bike\" + 0.006*\"new\" + 0.005*\"nasa\" + 0.005*\"univers\" + 0.005*\"orbit\" + 0.004*\"year\" + 0.004*\"like\" + 0.004*\"host\"\n", - "2019-01-17 14:48:10,640 : INFO : topic #1 (0.200): 0.010*\"com\" + 0.010*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.006*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"atheist\"\n", - "2019-01-17 14:48:10,643 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.010*\"isra\" + 0.008*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"state\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:10,646 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.009*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"softwar\" + 0.005*\"host\" + 0.005*\"nntp\"\n", - "2019-01-17 14:48:10,647 : INFO : topic #4 (0.200): 0.018*\"armenian\" + 0.010*\"peopl\" + 0.008*\"turkish\" + 0.007*\"space\" + 0.006*\"said\" + 0.005*\"know\" + 0.005*\"armenia\" + 0.004*\"like\" + 0.004*\"year\" + 0.004*\"nasa\"\n", - "2019-01-17 14:48:10,647 : INFO : topic diff=0.334135, rho=0.414549\n", - "2019-01-17 14:48:11,575 : INFO : -7.786 per-word bound, 220.6 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", - "2019-01-17 14:48:11,576 : INFO : PROGRESS: pass 2, at document #2819/2819\n", - "2019-01-17 14:48:12,086 : INFO : merging changes from 819 documents into a model of 2819 documents\n", - "2019-01-17 14:48:12,092 : INFO : topic #0 (0.200): 0.011*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"orbit\" + 0.005*\"nasa\" + 0.005*\"year\" + 0.004*\"like\" + 0.004*\"satellit\"\n", - "2019-01-17 14:48:12,093 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.010*\"god\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"believ\"\n", - "2019-01-17 14:48:12,094 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.010*\"isra\" + 0.009*\"jew\" + 0.007*\"peopl\" + 0.007*\"arab\" + 0.006*\"state\" + 0.005*\"islam\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:12,095 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"graphic\" + 0.009*\"com\" + 0.009*\"file\" + 0.007*\"program\" + 0.006*\"softwar\" + 0.006*\"us\" + 0.005*\"univers\" + 0.005*\"host\" + 0.005*\"mail\"\n", - "2019-01-17 14:48:12,096 : INFO : topic #4 (0.200): 0.018*\"armenian\" + 0.011*\"turkish\" + 0.009*\"peopl\" + 0.006*\"said\" + 0.006*\"space\" + 0.005*\"turkei\" + 0.005*\"armenia\" + 0.005*\"turk\" + 0.005*\"year\" + 0.005*\"know\"\n", - "2019-01-17 14:48:12,099 : INFO : topic diff=0.321527, rho=0.414549\n", - "2019-01-17 14:48:12,100 : INFO : PROGRESS: pass 3, at document #1000/2819\n", - "2019-01-17 14:48:12,722 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:12,727 : INFO : topic #0 (0.200): 0.012*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.006*\"orbit\" + 0.006*\"nasa\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"year\" + 0.004*\"like\" + 0.004*\"host\"\n", - "2019-01-17 14:48:12,728 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.010*\"god\" + 0.008*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"thing\" + 0.006*\"know\" + 0.006*\"moral\" + 0.005*\"time\" + 0.005*\"atheist\"\n", - "2019-01-17 14:48:12,729 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.011*\"isra\" + 0.008*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"state\" + 0.005*\"think\" + 0.004*\"univers\"\n", - "2019-01-17 14:48:12,730 : INFO : topic #3 (0.200): 0.013*\"imag\" + 0.010*\"file\" + 0.009*\"graphic\" + 0.008*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"host\" + 0.005*\"jpeg\" + 0.005*\"softwar\"\n", - "2019-01-17 14:48:12,731 : INFO : topic #4 (0.200): 0.018*\"armenian\" + 0.010*\"turkish\" + 0.009*\"peopl\" + 0.006*\"said\" + 0.005*\"armenia\" + 0.005*\"space\" + 0.005*\"turk\" + 0.005*\"turkei\" + 0.004*\"year\" + 0.004*\"know\"\n", - "2019-01-17 14:48:12,731 : INFO : topic diff=0.255652, rho=0.382948\n", - "2019-01-17 14:48:12,732 : INFO : PROGRESS: pass 3, at document #2000/2819\n", - "2019-01-17 14:48:13,320 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:13,325 : INFO : topic #0 (0.200): 0.013*\"space\" + 0.008*\"com\" + 0.007*\"nasa\" + 0.006*\"bike\" + 0.006*\"new\" + 0.006*\"orbit\" + 0.005*\"univers\" + 0.004*\"year\" + 0.004*\"host\" + 0.004*\"nntp\"\n", - "2019-01-17 14:48:13,326 : INFO : topic #1 (0.200): 0.011*\"god\" + 0.010*\"com\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"know\" + 0.006*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.005*\"believ\"\n", - "2019-01-17 14:48:13,326 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.011*\"isra\" + 0.008*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"state\" + 0.006*\"right\" + 0.005*\"think\" + 0.004*\"jewish\"\n", - "2019-01-17 14:48:13,327 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.008*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.006*\"softwar\" + 0.005*\"host\" + 0.005*\"nntp\"\n", - "2019-01-17 14:48:13,328 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.011*\"peopl\" + 0.009*\"turkish\" + 0.007*\"said\" + 0.006*\"know\" + 0.005*\"armenia\" + 0.005*\"turk\" + 0.005*\"like\" + 0.004*\"year\" + 0.004*\"turkei\"\n", - "2019-01-17 14:48:13,328 : INFO : topic diff=0.256253, rho=0.382948\n", - "2019-01-17 14:48:14,249 : INFO : -7.754 per-word bound, 215.8 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", - "2019-01-17 14:48:14,250 : INFO : PROGRESS: pass 3, at document #2819/2819\n", - "2019-01-17 14:48:14,719 : INFO : merging changes from 819 documents into a model of 2819 documents\n", - "2019-01-17 14:48:14,724 : INFO : topic #0 (0.200): 0.013*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.006*\"nasa\" + 0.006*\"new\" + 0.005*\"orbit\" + 0.005*\"year\" + 0.005*\"univers\" + 0.005*\"launch\" + 0.004*\"like\"\n", - "2019-01-17 14:48:14,724 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.010*\"god\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"believ\" + 0.005*\"time\"\n", - "2019-01-17 14:48:14,725 : INFO : topic #2 (0.200): 0.013*\"israel\" + 0.010*\"isra\" + 0.009*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"state\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"think\" + 0.004*\"war\"\n", - "2019-01-17 14:48:14,726 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"graphic\" + 0.009*\"file\" + 0.008*\"com\" + 0.008*\"program\" + 0.006*\"softwar\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"host\" + 0.005*\"mail\"\n", - "2019-01-17 14:48:14,727 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.012*\"turkish\" + 0.010*\"peopl\" + 0.007*\"said\" + 0.006*\"turkei\" + 0.005*\"armenia\" + 0.005*\"turk\" + 0.005*\"know\" + 0.004*\"year\" + 0.004*\"like\"\n", - "2019-01-17 14:48:14,727 : INFO : topic diff=0.249831, rho=0.382948\n", - "2019-01-17 14:48:14,728 : INFO : PROGRESS: pass 4, at document #1000/2819\n", - "2019-01-17 14:48:15,289 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:15,294 : INFO : topic #0 (0.200): 0.013*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.007*\"nasa\" + 0.006*\"orbit\" + 0.005*\"new\" + 0.005*\"year\" + 0.005*\"univers\" + 0.005*\"launch\" + 0.004*\"host\"\n" + "2019-01-31 03:18:34,356 : INFO : topic diff=0.423402, rho=0.455535\n", + "2019-01-31 03:18:34,357 : INFO : PROGRESS: pass 2, at document #1000/2819\n", + "2019-01-31 03:18:35,071 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:35,075 : INFO : topic #0 (0.200): 0.009*\"space\" + 0.007*\"com\" + 0.006*\"bike\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"orbit\" + 0.004*\"nasa\" + 0.004*\"year\" + 0.004*\"like\" + 0.004*\"time\"\n", + "2019-01-31 03:18:35,076 : INFO : topic #1 (0.200): 0.010*\"com\" + 0.009*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.006*\"thing\" + 0.006*\"moral\" + 0.005*\"time\" + 0.005*\"atheist\"\n", + "2019-01-31 03:18:35,079 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.010*\"isra\" + 0.007*\"jew\" + 0.007*\"peopl\" + 0.006*\"arab\" + 0.006*\"islam\" + 0.005*\"right\" + 0.005*\"think\" + 0.005*\"state\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:35,080 : INFO : topic #3 (0.200): 0.013*\"imag\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.009*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"host\" + 0.005*\"univers\" + 0.005*\"jpeg\" + 0.005*\"nntp\"\n", + "2019-01-31 03:18:35,081 : INFO : topic #4 (0.200): 0.017*\"armenian\" + 0.009*\"turkish\" + 0.008*\"peopl\" + 0.008*\"space\" + 0.005*\"said\" + 0.005*\"nasa\" + 0.005*\"armenia\" + 0.005*\"year\" + 0.004*\"launch\" + 0.004*\"turkei\"\n", + "2019-01-31 03:18:35,082 : INFO : topic diff=0.333964, rho=0.414549\n", + "2019-01-31 03:18:35,083 : INFO : PROGRESS: pass 2, at document #2000/2819\n", + "2019-01-31 03:18:35,848 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:35,852 : INFO : topic #0 (0.200): 0.011*\"space\" + 0.008*\"com\" + 0.006*\"bike\" + 0.006*\"new\" + 0.005*\"nasa\" + 0.005*\"univers\" + 0.005*\"orbit\" + 0.004*\"year\" + 0.004*\"like\" + 0.004*\"host\"\n", + "2019-01-31 03:18:35,854 : INFO : topic #1 (0.200): 0.010*\"com\" + 0.010*\"god\" + 0.007*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"know\" + 0.006*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"atheist\"\n", + "2019-01-31 03:18:35,855 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.010*\"isra\" + 0.008*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"state\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:35,858 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.009*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"softwar\" + 0.005*\"host\" + 0.005*\"nntp\"\n", + "2019-01-31 03:18:35,859 : INFO : topic #4 (0.200): 0.018*\"armenian\" + 0.010*\"peopl\" + 0.008*\"turkish\" + 0.007*\"space\" + 0.006*\"said\" + 0.005*\"know\" + 0.005*\"armenia\" + 0.004*\"like\" + 0.004*\"year\" + 0.004*\"nasa\"\n", + "2019-01-31 03:18:35,861 : INFO : topic diff=0.334136, rho=0.414549\n", + "2019-01-31 03:18:36,922 : INFO : -7.786 per-word bound, 220.6 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", + "2019-01-31 03:18:36,923 : INFO : PROGRESS: pass 2, at document #2819/2819\n", + "2019-01-31 03:18:37,532 : INFO : merging changes from 819 documents into a model of 2819 documents\n", + "2019-01-31 03:18:37,536 : INFO : topic #0 (0.200): 0.011*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"orbit\" + 0.005*\"nasa\" + 0.005*\"year\" + 0.004*\"like\" + 0.004*\"satellit\"\n", + "2019-01-31 03:18:37,537 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.010*\"god\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"time\" + 0.004*\"believ\"\n", + "2019-01-31 03:18:37,539 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.010*\"isra\" + 0.009*\"jew\" + 0.007*\"peopl\" + 0.007*\"arab\" + 0.006*\"state\" + 0.005*\"islam\" + 0.005*\"right\" + 0.005*\"think\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:37,542 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"graphic\" + 0.009*\"com\" + 0.009*\"file\" + 0.007*\"program\" + 0.006*\"softwar\" + 0.006*\"us\" + 0.005*\"univers\" + 0.005*\"host\" + 0.005*\"mail\"\n", + "2019-01-31 03:18:37,544 : INFO : topic #4 (0.200): 0.018*\"armenian\" + 0.011*\"turkish\" + 0.009*\"peopl\" + 0.006*\"said\" + 0.006*\"space\" + 0.005*\"turkei\" + 0.005*\"armenia\" + 0.005*\"turk\" + 0.005*\"year\" + 0.005*\"know\"\n", + "2019-01-31 03:18:37,544 : INFO : topic diff=0.321527, rho=0.414549\n", + "2019-01-31 03:18:37,546 : INFO : PROGRESS: pass 3, at document #1000/2819\n", + "2019-01-31 03:18:38,269 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:38,274 : INFO : topic #0 (0.200): 0.012*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.006*\"orbit\" + 0.006*\"nasa\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"year\" + 0.004*\"like\" + 0.004*\"host\"\n", + "2019-01-31 03:18:38,276 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.010*\"god\" + 0.008*\"peopl\" + 0.007*\"like\" + 0.007*\"think\" + 0.006*\"thing\" + 0.006*\"know\" + 0.006*\"moral\" + 0.005*\"time\" + 0.005*\"atheist\"\n", + "2019-01-31 03:18:38,277 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.011*\"isra\" + 0.008*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"state\" + 0.005*\"think\" + 0.004*\"univers\"\n", + "2019-01-31 03:18:38,279 : INFO : topic #3 (0.200): 0.013*\"imag\" + 0.010*\"file\" + 0.009*\"graphic\" + 0.008*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"host\" + 0.005*\"jpeg\" + 0.005*\"softwar\"\n", + "2019-01-31 03:18:38,281 : INFO : topic #4 (0.200): 0.018*\"armenian\" + 0.010*\"turkish\" + 0.009*\"peopl\" + 0.006*\"said\" + 0.005*\"armenia\" + 0.005*\"space\" + 0.005*\"turk\" + 0.005*\"turkei\" + 0.004*\"year\" + 0.004*\"know\"\n", + "2019-01-31 03:18:38,289 : INFO : topic diff=0.255652, rho=0.382948\n", + "2019-01-31 03:18:38,291 : INFO : PROGRESS: pass 3, at document #2000/2819\n", + "2019-01-31 03:18:39,204 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:39,209 : INFO : topic #0 (0.200): 0.013*\"space\" + 0.008*\"com\" + 0.007*\"nasa\" + 0.006*\"bike\" + 0.006*\"new\" + 0.006*\"orbit\" + 0.005*\"univers\" + 0.004*\"year\" + 0.004*\"host\" + 0.004*\"nntp\"\n", + "2019-01-31 03:18:39,211 : INFO : topic #1 (0.200): 0.011*\"god\" + 0.010*\"com\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"know\" + 0.006*\"thing\" + 0.005*\"moral\" + 0.005*\"time\" + 0.005*\"believ\"\n", + "2019-01-31 03:18:39,213 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.011*\"isra\" + 0.008*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"state\" + 0.006*\"right\" + 0.005*\"think\" + 0.004*\"jewish\"\n", + "2019-01-31 03:18:39,219 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.009*\"file\" + 0.009*\"graphic\" + 0.008*\"com\" + 0.007*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.006*\"softwar\" + 0.005*\"host\" + 0.005*\"nntp\"\n", + "2019-01-31 03:18:39,220 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.011*\"peopl\" + 0.009*\"turkish\" + 0.007*\"said\" + 0.006*\"know\" + 0.005*\"armenia\" + 0.005*\"turk\" + 0.005*\"like\" + 0.004*\"year\" + 0.004*\"turkei\"\n", + "2019-01-31 03:18:39,222 : INFO : topic diff=0.256253, rho=0.382948\n", + "2019-01-31 03:18:40,239 : INFO : -7.754 per-word bound, 215.8 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", + "2019-01-31 03:18:40,240 : INFO : PROGRESS: pass 3, at document #2819/2819\n", + "2019-01-31 03:18:40,808 : INFO : merging changes from 819 documents into a model of 2819 documents\n", + "2019-01-31 03:18:40,815 : INFO : topic #0 (0.200): 0.013*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.006*\"nasa\" + 0.006*\"new\" + 0.005*\"orbit\" + 0.005*\"year\" + 0.005*\"univers\" + 0.005*\"launch\" + 0.004*\"like\"\n", + "2019-01-31 03:18:40,822 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.010*\"god\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"believ\" + 0.005*\"time\"\n", + "2019-01-31 03:18:40,831 : INFO : topic #2 (0.200): 0.013*\"israel\" + 0.010*\"isra\" + 0.009*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"state\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"think\" + 0.004*\"war\"\n", + "2019-01-31 03:18:40,835 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"graphic\" + 0.009*\"file\" + 0.008*\"com\" + 0.008*\"program\" + 0.006*\"softwar\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"host\" + 0.005*\"mail\"\n", + "2019-01-31 03:18:40,839 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.012*\"turkish\" + 0.010*\"peopl\" + 0.007*\"said\" + 0.006*\"turkei\" + 0.005*\"armenia\" + 0.005*\"turk\" + 0.005*\"know\" + 0.004*\"year\" + 0.004*\"like\"\n", + "2019-01-31 03:18:40,841 : INFO : topic diff=0.249832, rho=0.382948\n", + "2019-01-31 03:18:40,846 : INFO : PROGRESS: pass 4, at document #1000/2819\n", + "2019-01-31 03:18:41,534 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:41,539 : INFO : topic #0 (0.200): 0.013*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.007*\"nasa\" + 0.006*\"orbit\" + 0.005*\"new\" + 0.005*\"year\" + 0.005*\"univers\" + 0.005*\"launch\" + 0.004*\"host\"\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2019-01-17 14:48:15,295 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.011*\"god\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.006*\"moral\" + 0.005*\"atheist\" + 0.005*\"time\"\n", - "2019-01-17 14:48:15,296 : INFO : topic #2 (0.200): 0.013*\"israel\" + 0.011*\"isra\" + 0.009*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"state\" + 0.005*\"think\" + 0.004*\"peac\"\n", - "2019-01-17 14:48:15,296 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.010*\"file\" + 0.010*\"graphic\" + 0.008*\"com\" + 0.008*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"softwar\" + 0.005*\"host\" + 0.005*\"jpeg\"\n", - "2019-01-17 14:48:15,297 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.011*\"turkish\" + 0.010*\"peopl\" + 0.006*\"said\" + 0.006*\"armenia\" + 0.006*\"turk\" + 0.005*\"turkei\" + 0.005*\"know\" + 0.004*\"greek\" + 0.004*\"year\"\n", - "2019-01-17 14:48:15,297 : INFO : topic diff=0.204473, rho=0.357622\n", - "2019-01-17 14:48:15,298 : INFO : PROGRESS: pass 4, at document #2000/2819\n", - "2019-01-17 14:48:15,860 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", - "2019-01-17 14:48:15,865 : INFO : topic #0 (0.200): 0.014*\"space\" + 0.008*\"com\" + 0.008*\"nasa\" + 0.007*\"bike\" + 0.006*\"orbit\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"year\" + 0.004*\"host\" + 0.004*\"nntp\"\n", - "2019-01-17 14:48:15,865 : INFO : topic #1 (0.200): 0.011*\"god\" + 0.010*\"com\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"believ\" + 0.005*\"atheist\"\n", - "2019-01-17 14:48:15,868 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.011*\"isra\" + 0.009*\"jew\" + 0.008*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"right\" + 0.006*\"state\" + 0.005*\"think\" + 0.004*\"jewish\"\n", - "2019-01-17 14:48:15,869 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.010*\"file\" + 0.009*\"graphic\" + 0.008*\"program\" + 0.007*\"com\" + 0.006*\"univers\" + 0.006*\"us\" + 0.006*\"softwar\" + 0.005*\"host\" + 0.005*\"need\"\n", - "2019-01-17 14:48:15,870 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.011*\"peopl\" + 0.010*\"turkish\" + 0.007*\"said\" + 0.006*\"know\" + 0.006*\"armenia\" + 0.005*\"turk\" + 0.005*\"like\" + 0.005*\"turkei\" + 0.004*\"time\"\n", - "2019-01-17 14:48:15,870 : INFO : topic diff=0.206188, rho=0.357622\n", - "2019-01-17 14:48:16,764 : INFO : -7.735 per-word bound, 213.0 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", - "2019-01-17 14:48:16,765 : INFO : PROGRESS: pass 4, at document #2819/2819\n", - "2019-01-17 14:48:17,216 : INFO : merging changes from 819 documents into a model of 2819 documents\n", - "2019-01-17 14:48:17,221 : INFO : topic #0 (0.200): 0.014*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.007*\"nasa\" + 0.005*\"new\" + 0.005*\"orbit\" + 0.005*\"launch\" + 0.005*\"year\" + 0.005*\"univers\" + 0.004*\"like\"\n", - "2019-01-17 14:48:17,222 : INFO : topic #1 (0.200): 0.011*\"god\" + 0.011*\"com\" + 0.008*\"peopl\" + 0.008*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"believ\" + 0.005*\"time\"\n", - "2019-01-17 14:48:17,223 : INFO : topic #2 (0.200): 0.013*\"israel\" + 0.011*\"isra\" + 0.010*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"state\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"think\" + 0.004*\"jewish\"\n", - "2019-01-17 14:48:17,224 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"graphic\" + 0.010*\"file\" + 0.008*\"com\" + 0.008*\"program\" + 0.006*\"softwar\" + 0.006*\"univers\" + 0.006*\"us\" + 0.005*\"mail\" + 0.005*\"host\"\n", - "2019-01-17 14:48:17,224 : INFO : topic #4 (0.200): 0.020*\"armenian\" + 0.012*\"turkish\" + 0.010*\"peopl\" + 0.007*\"said\" + 0.006*\"turkei\" + 0.006*\"armenia\" + 0.006*\"turk\" + 0.005*\"know\" + 0.004*\"greek\" + 0.004*\"year\"\n", - "2019-01-17 14:48:17,225 : INFO : topic diff=0.203500, rho=0.357622\n", - "2019-01-17 14:48:21,544 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:48:31,057 : INFO : Loss (no outliers): 543.9085511209285\tLoss (with outliers): 543.9085511209285\n", - "2019-01-17 14:48:31,780 : INFO : Loss (no outliers): 629.7446210861123\tLoss (with outliers): 629.7446210861123\n", - "2019-01-17 14:48:50,245 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:49:03,569 : INFO : Loss (no outliers): 677.513414250545\tLoss (with outliers): 279.46611421992964\n", - "2019-01-17 14:49:10,097 : INFO : Loss (no outliers): 669.590857352226\tLoss (with outliers): 259.2467646189499\n", - "2019-01-17 14:49:39,601 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:49:40,561 : INFO : Loss (no outliers): 547.4249457586467\tLoss (with outliers): 547.4249457586467\n", - "2019-01-17 14:49:40,838 : INFO : Loss (no outliers): 638.2126742605573\tLoss (with outliers): 638.2126742605573\n", - "2019-01-17 14:49:54,607 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:49:57,634 : INFO : Loss (no outliers): 692.6547711302494\tLoss (with outliers): 287.76899186681857\n", - "2019-01-17 14:49:58,233 : INFO : Loss (no outliers): 695.4958681211045\tLoss (with outliers): 268.2945499450434\n", - "2019-01-17 14:50:21,411 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:50:22,980 : INFO : Loss (no outliers): 543.9085511209285\tLoss (with outliers): 543.9085511209285\n", - "2019-01-17 14:50:23,716 : INFO : Loss (no outliers): 629.7446210861123\tLoss (with outliers): 629.7446210861123\n", - "2019-01-17 14:50:42,308 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:50:56,452 : INFO : Loss (no outliers): 639.6176167237056\tLoss (with outliers): 511.0048240200623\n", - "2019-01-17 14:51:03,333 : INFO : Loss (no outliers): 637.4050783690045\tLoss (with outliers): 498.7006582634081\n", - "2019-01-17 14:51:33,575 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:51:34,425 : INFO : Loss (no outliers): 547.4249457586467\tLoss (with outliers): 547.4249457586467\n", - "2019-01-17 14:51:34,696 : INFO : Loss (no outliers): 638.2126742605573\tLoss (with outliers): 638.2126742605573\n", - "2019-01-17 14:51:48,503 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:51:51,998 : INFO : Loss (no outliers): 651.3812921172465\tLoss (with outliers): 518.2309924866902\n", - "2019-01-17 14:51:53,008 : INFO : Loss (no outliers): 647.9339449245117\tLoss (with outliers): 509.82049860049364\n", - "2019-01-17 14:52:14,849 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:52:16,415 : INFO : Loss (no outliers): 543.9085511209285\tLoss (with outliers): 543.9085511209285\n", - "2019-01-17 14:52:17,127 : INFO : Loss (no outliers): 629.7446210861123\tLoss (with outliers): 629.7446210861123\n", - "2019-01-17 14:52:35,545 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:52:54,059 : INFO : Loss (no outliers): 542.2256187627806\tLoss (with outliers): 542.2256187627806\n", - "2019-01-17 14:53:03,433 : INFO : Loss (no outliers): 624.7035238321835\tLoss (with outliers): 624.6056240734391\n", - "2019-01-17 14:53:30,678 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:53:31,653 : INFO : Loss (no outliers): 547.4249457586467\tLoss (with outliers): 547.4249457586467\n", - "2019-01-17 14:53:31,927 : INFO : Loss (no outliers): 638.2126742605573\tLoss (with outliers): 638.2126742605573\n", - "2019-01-17 14:53:45,702 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-17 14:53:50,458 : INFO : Loss (no outliers): 547.1203901181682\tLoss (with outliers): 547.1203901181682\n", - "2019-01-17 14:53:51,589 : INFO : Loss (no outliers): 633.6243596382214\tLoss (with outliers): 633.3634284766107\n", - "2019-01-17 14:54:12,967 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n" + "2019-01-31 03:18:41,542 : INFO : topic #1 (0.200): 0.011*\"com\" + 0.011*\"god\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.006*\"moral\" + 0.005*\"atheist\" + 0.005*\"time\"\n", + "2019-01-31 03:18:41,543 : INFO : topic #2 (0.200): 0.013*\"israel\" + 0.011*\"isra\" + 0.009*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"state\" + 0.005*\"think\" + 0.004*\"peac\"\n", + "2019-01-31 03:18:41,546 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.010*\"file\" + 0.010*\"graphic\" + 0.008*\"com\" + 0.008*\"program\" + 0.006*\"us\" + 0.006*\"univers\" + 0.005*\"softwar\" + 0.005*\"host\" + 0.005*\"jpeg\"\n", + "2019-01-31 03:18:41,548 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.011*\"turkish\" + 0.010*\"peopl\" + 0.006*\"said\" + 0.006*\"armenia\" + 0.006*\"turk\" + 0.005*\"turkei\" + 0.005*\"know\" + 0.004*\"greek\" + 0.004*\"year\"\n", + "2019-01-31 03:18:41,549 : INFO : topic diff=0.204471, rho=0.357622\n", + "2019-01-31 03:18:41,551 : INFO : PROGRESS: pass 4, at document #2000/2819\n", + "2019-01-31 03:18:42,187 : INFO : merging changes from 1000 documents into a model of 2819 documents\n", + "2019-01-31 03:18:42,191 : INFO : topic #0 (0.200): 0.014*\"space\" + 0.008*\"com\" + 0.008*\"nasa\" + 0.007*\"bike\" + 0.006*\"orbit\" + 0.006*\"new\" + 0.005*\"univers\" + 0.005*\"year\" + 0.004*\"host\" + 0.004*\"nntp\"\n", + "2019-01-31 03:18:42,195 : INFO : topic #1 (0.200): 0.011*\"god\" + 0.010*\"com\" + 0.008*\"peopl\" + 0.007*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"believ\" + 0.005*\"atheist\"\n", + "2019-01-31 03:18:42,197 : INFO : topic #2 (0.200): 0.012*\"israel\" + 0.011*\"isra\" + 0.009*\"jew\" + 0.008*\"arab\" + 0.007*\"peopl\" + 0.006*\"islam\" + 0.006*\"right\" + 0.006*\"state\" + 0.005*\"think\" + 0.004*\"jewish\"\n", + "2019-01-31 03:18:42,199 : INFO : topic #3 (0.200): 0.014*\"imag\" + 0.010*\"file\" + 0.009*\"graphic\" + 0.008*\"program\" + 0.007*\"com\" + 0.006*\"univers\" + 0.006*\"us\" + 0.006*\"softwar\" + 0.005*\"host\" + 0.005*\"need\"\n", + "2019-01-31 03:18:42,201 : INFO : topic #4 (0.200): 0.019*\"armenian\" + 0.011*\"peopl\" + 0.010*\"turkish\" + 0.007*\"said\" + 0.006*\"know\" + 0.006*\"armenia\" + 0.005*\"turk\" + 0.005*\"like\" + 0.005*\"turkei\" + 0.004*\"time\"\n", + "2019-01-31 03:18:42,203 : INFO : topic diff=0.206189, rho=0.357622\n", + "2019-01-31 03:18:43,176 : INFO : -7.735 per-word bound, 213.0 perplexity estimate based on a held-out corpus of 819 documents with 113268 words\n", + "2019-01-31 03:18:43,177 : INFO : PROGRESS: pass 4, at document #2819/2819\n", + "2019-01-31 03:18:43,789 : INFO : merging changes from 819 documents into a model of 2819 documents\n", + "2019-01-31 03:18:43,794 : INFO : topic #0 (0.200): 0.014*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.007*\"nasa\" + 0.005*\"new\" + 0.005*\"orbit\" + 0.005*\"launch\" + 0.005*\"year\" + 0.005*\"univers\" + 0.004*\"like\"\n", + "2019-01-31 03:18:43,795 : INFO : topic #1 (0.200): 0.011*\"god\" + 0.011*\"com\" + 0.008*\"peopl\" + 0.008*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"believ\" + 0.005*\"time\"\n", + "2019-01-31 03:18:43,796 : INFO : topic #2 (0.200): 0.013*\"israel\" + 0.011*\"isra\" + 0.010*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"state\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"think\" + 0.004*\"jewish\"\n", + "2019-01-31 03:18:43,798 : INFO : topic #3 (0.200): 0.012*\"imag\" + 0.010*\"graphic\" + 0.010*\"file\" + 0.008*\"com\" + 0.008*\"program\" + 0.006*\"softwar\" + 0.006*\"univers\" + 0.006*\"us\" + 0.005*\"mail\" + 0.005*\"host\"\n", + "2019-01-31 03:18:43,799 : INFO : topic #4 (0.200): 0.020*\"armenian\" + 0.012*\"turkish\" + 0.010*\"peopl\" + 0.007*\"said\" + 0.006*\"turkei\" + 0.006*\"armenia\" + 0.006*\"turk\" + 0.005*\"know\" + 0.004*\"greek\" + 0.004*\"year\"\n", + "2019-01-31 03:18:43,801 : INFO : topic diff=0.203499, rho=0.357622\n", + "2019-01-31 03:18:49,095 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", + "2019-01-31 03:19:05,551 : INFO : Loss: 1.0280021673693736\n", + "2019-01-31 03:19:05,749 : INFO : Loss: 0.9805869534381415\n", + "2019-01-31 03:19:11,783 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n" ] } ], @@ -959,21 +943,19 @@ "))\n", "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)\n", "\n", - "for variable_params in variable_params_grid:\n", - " row = dict()\n", - " row['model'] = 'gensim_nmf'\n", - " row.update(variable_params)\n", - " row['train_time'], model = get_execution_time(\n", - " lambda: GensimNmf(\n", - " normalize=False,\n", - " **fixed_params,\n", - " **variable_params,\n", - " )\n", + "row = dict()\n", + "row['model'] = 'gensim_nmf'\n", + "row['train_time'], model = get_execution_time(\n", + " lambda: GensimNmf(\n", + " normalize=False,\n", + " **fixed_params\n", " )\n", - " row.update(get_tm_metrics(\n", - " model, train_corpus, test_corpus, test_dense_corpus, trainset_target, testset_target,\n", - " ))\n", - " tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)" + ")\n", + "row.update(get_tm_metrics(\n", + " model, train_corpus, test_corpus, test_dense_corpus, trainset_target, testset_target,\n", + "))\n", + "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)\n", + "tm_metrics.replace(np.nan, '-', inplace=True)" ] }, { @@ -985,7 +967,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1014,251 +996,49 @@ " l2_norm\n", " model\n", " perplexity\n", - " topics\n", " train_time\n", - " lambda_\n", - " sparse_coef\n", - " use_r\n", " \n", " \n", " \n", " \n", - " 5\n", - " -1.675162\n", - " 0.527719\n", - " 7.167809\n", - " gensim_nmf\n", - " 24.738142\n", - " [(0, 0.035*\"com\" + 0.030*\"world\" + 0.030*\"like...\n", - " 3.597497\n", - " 1.0\n", - " 3.0\n", - " 1.0\n", - " \n", - " \n", - " 3\n", - " -1.693074\n", - " 0.625267\n", - " 7.035608\n", - " gensim_nmf\n", - " 2479.600679\n", - " [(0, 0.012*\"com\" + 0.012*\"armenian\" + 0.011*\"w...\n", - " 19.820650\n", - " 1.0\n", - " 0.0\n", - " 1.0\n", - " \n", - " \n", - " 13\n", - " -1.695379\n", - " 0.675373\n", - " 7.183766\n", - " gensim_nmf\n", - " 48.768942\n", - " [(0, 0.025*\"armenian\" + 0.023*\"peopl\" + 0.021*...\n", - " 5.856175\n", - " 100.0\n", - " 3.0\n", - " 1.0\n", - " \n", - " \n", - " 9\n", - " -1.670903\n", - " 0.694030\n", - " 7.131330\n", - " gensim_nmf\n", - " 46.644018\n", - " [(0, 0.031*\"armenian\" + 0.021*\"peopl\" + 0.020*...\n", - " 4.476314\n", - " 10.0\n", - " 3.0\n", - " 1.0\n", - " \n", - " \n", " 1\n", - " NaN\n", - " 0.698827\n", + " -\n", + " 0.696695\n", " 6.929583\n", " sklearn_nmf\n", " 2404.189918\n", - " NaN\n", - " 5.676373\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 11\n", - " -1.711411\n", - " 0.698827\n", - " 7.059604\n", - " gensim_nmf\n", - " 2460.213716\n", - " [(0, 0.017*\"armenian\" + 0.016*\"peopl\" + 0.015*...\n", - " 27.860318\n", - " 100.0\n", - " 0.0\n", - " 1.0\n", - " \n", - " \n", - " 4\n", - " -1.712103\n", - " 0.700959\n", - " 7.174119\n", - " gensim_nmf\n", - " 55.361718\n", - " [(0, 0.021*\"armenian\" + 0.020*\"peopl\" + 0.019*...\n", - " 1.205277\n", - " 1.0\n", - " 3.0\n", - " 0.0\n", - " \n", - " \n", - " 8\n", - " -1.712103\n", - " 0.700959\n", - " 7.174119\n", - " gensim_nmf\n", - " 55.361718\n", - " [(0, 0.021*\"armenian\" + 0.020*\"peopl\" + 0.019*...\n", - " 1.091239\n", - " 10.0\n", - " 3.0\n", - " 0.0\n", - " \n", - " \n", - " 12\n", - " -1.712103\n", - " 0.700959\n", - " 7.174119\n", - " gensim_nmf\n", - " 55.361718\n", - " [(0, 0.021*\"armenian\" + 0.020*\"peopl\" + 0.019*...\n", - " 1.219200\n", - " 100.0\n", - " 3.0\n", - " 0.0\n", + " 12.541235\n", " \n", " \n", " 2\n", - " -1.702542\n", - " 0.711087\n", - " 7.060992\n", - " gensim_nmf\n", - " 2473.714343\n", - " [(0, 0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*...\n", - " 2.253492\n", - " 1.0\n", - " 0.0\n", - " 0.0\n", - " \n", - " \n", - " 6\n", - " -1.702542\n", - " 0.711087\n", - " 7.060992\n", - " gensim_nmf\n", - " 2473.714343\n", - " [(0, 0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*...\n", - " 2.271240\n", - " 10.0\n", - " 0.0\n", - " 0.0\n", - " \n", - " \n", - " 10\n", - " -1.702542\n", - " 0.711087\n", - " 7.060992\n", + " -1.70539\n", + " 0.715352\n", + " 7.061342\n", " gensim_nmf\n", - " 2473.714343\n", - " [(0, 0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*...\n", - " 2.247909\n", - " 100.0\n", - " 0.0\n", - " 0.0\n", - " \n", - " \n", - " 7\n", - " -1.663787\n", - " 0.750000\n", - " 7.040535\n", - " gensim_nmf\n", - " 2287.018000\n", - " [(0, 0.022*\"armenian\" + 0.015*\"peopl\" + 0.014*...\n", - " 20.997104\n", - " 10.0\n", - " 0.0\n", - " 1.0\n", + " 2475.979773\n", + " 0.656207\n", " \n", " \n", " 0\n", - " -1.755650\n", + " -1.75565\n", " 0.765458\n", " 7.002725\n", " lda\n", - " 1939.575701\n", - " [(0, 0.014*\"space\" + 0.008*\"com\" + 0.007*\"bike...\n", - " 14.540969\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 1939.575705\n", + " 16.793869\n", " \n", " \n", "\n", "" ], "text/plain": [ - " coherence f1 l2_norm model perplexity \\\n", - "5 -1.675162 0.527719 7.167809 gensim_nmf 24.738142 \n", - "3 -1.693074 0.625267 7.035608 gensim_nmf 2479.600679 \n", - "13 -1.695379 0.675373 7.183766 gensim_nmf 48.768942 \n", - "9 -1.670903 0.694030 7.131330 gensim_nmf 46.644018 \n", - "1 NaN 0.698827 6.929583 sklearn_nmf 2404.189918 \n", - "11 -1.711411 0.698827 7.059604 gensim_nmf 2460.213716 \n", - "4 -1.712103 0.700959 7.174119 gensim_nmf 55.361718 \n", - "8 -1.712103 0.700959 7.174119 gensim_nmf 55.361718 \n", - "12 -1.712103 0.700959 7.174119 gensim_nmf 55.361718 \n", - "2 -1.702542 0.711087 7.060992 gensim_nmf 2473.714343 \n", - "6 -1.702542 0.711087 7.060992 gensim_nmf 2473.714343 \n", - "10 -1.702542 0.711087 7.060992 gensim_nmf 2473.714343 \n", - "7 -1.663787 0.750000 7.040535 gensim_nmf 2287.018000 \n", - "0 -1.755650 0.765458 7.002725 lda 1939.575701 \n", - "\n", - " topics train_time lambda_ \\\n", - "5 [(0, 0.035*\"com\" + 0.030*\"world\" + 0.030*\"like... 3.597497 1.0 \n", - "3 [(0, 0.012*\"com\" + 0.012*\"armenian\" + 0.011*\"w... 19.820650 1.0 \n", - "13 [(0, 0.025*\"armenian\" + 0.023*\"peopl\" + 0.021*... 5.856175 100.0 \n", - "9 [(0, 0.031*\"armenian\" + 0.021*\"peopl\" + 0.020*... 4.476314 10.0 \n", - "1 NaN 5.676373 NaN \n", - "11 [(0, 0.017*\"armenian\" + 0.016*\"peopl\" + 0.015*... 27.860318 100.0 \n", - "4 [(0, 0.021*\"armenian\" + 0.020*\"peopl\" + 0.019*... 1.205277 1.0 \n", - "8 [(0, 0.021*\"armenian\" + 0.020*\"peopl\" + 0.019*... 1.091239 10.0 \n", - "12 [(0, 0.021*\"armenian\" + 0.020*\"peopl\" + 0.019*... 1.219200 100.0 \n", - "2 [(0, 0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*... 2.253492 1.0 \n", - "6 [(0, 0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*... 2.271240 10.0 \n", - "10 [(0, 0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*... 2.247909 100.0 \n", - "7 [(0, 0.022*\"armenian\" + 0.015*\"peopl\" + 0.014*... 20.997104 10.0 \n", - "0 [(0, 0.014*\"space\" + 0.008*\"com\" + 0.007*\"bike... 14.540969 NaN \n", - "\n", - " sparse_coef use_r \n", - "5 3.0 1.0 \n", - "3 0.0 1.0 \n", - "13 3.0 1.0 \n", - "9 3.0 1.0 \n", - "1 NaN NaN \n", - "11 0.0 1.0 \n", - "4 3.0 0.0 \n", - "8 3.0 0.0 \n", - "12 3.0 0.0 \n", - "2 0.0 0.0 \n", - "6 0.0 0.0 \n", - "10 0.0 0.0 \n", - "7 0.0 1.0 \n", - "0 NaN NaN " + " coherence f1 l2_norm model perplexity train_time\n", + "1 - 0.696695 6.929583 sklearn_nmf 2404.189918 12.541235\n", + "2 -1.70539 0.715352 7.061342 gensim_nmf 2475.979773 0.656207\n", + "0 -1.75565 0.765458 7.002725 lda 1939.575705 16.793869" ] }, - "execution_count": 23, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1267,96 +1047,28 @@ "tm_metrics.sort_values('f1')" ] }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Best NMF's topics\n" - ] - }, - { - "data": { - "text/plain": [ - "[(0,\n", - " '0.017*\"armenian\" + 0.015*\"peopl\" + 0.014*\"said\" + 0.013*\"know\" + 0.008*\"went\" + 0.008*\"sai\" + 0.007*\"like\" + 0.007*\"apart\" + 0.007*\"come\" + 0.007*\"azerbaijani\"'),\n", - " (1,\n", - " '0.074*\"jpeg\" + 0.032*\"file\" + 0.031*\"gif\" + 0.028*\"imag\" + 0.024*\"color\" + 0.017*\"format\" + 0.014*\"qualiti\" + 0.013*\"convert\" + 0.013*\"compress\" + 0.013*\"version\"'),\n", - " (2,\n", - " '0.030*\"imag\" + 0.014*\"graphic\" + 0.012*\"data\" + 0.010*\"file\" + 0.010*\"pub\" + 0.010*\"ftp\" + 0.010*\"avail\" + 0.008*\"format\" + 0.008*\"program\" + 0.008*\"packag\"'),\n", - " (3,\n", - " '0.015*\"god\" + 0.012*\"atheist\" + 0.009*\"believ\" + 0.009*\"exist\" + 0.008*\"atheism\" + 0.007*\"peopl\" + 0.007*\"religion\" + 0.006*\"christian\" + 0.006*\"israel\" + 0.006*\"religi\"'),\n", - " (4,\n", - " '0.028*\"space\" + 0.019*\"launch\" + 0.013*\"satellit\" + 0.009*\"orbit\" + 0.008*\"nasa\" + 0.007*\"year\" + 0.006*\"mission\" + 0.006*\"new\" + 0.006*\"commerci\" + 0.005*\"market\"')]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "print(\"Best NMF's topics\")\n", - "tm_metrics.iloc[2].topics" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LDA topics\n" - ] - }, - { - "data": { - "text/plain": [ - "[(0,\n", - " '0.014*\"space\" + 0.008*\"com\" + 0.007*\"bike\" + 0.007*\"nasa\" + 0.005*\"new\" + 0.005*\"orbit\" + 0.005*\"launch\" + 0.005*\"year\" + 0.005*\"univers\" + 0.004*\"like\"'),\n", - " (1,\n", - " '0.011*\"god\" + 0.011*\"com\" + 0.008*\"peopl\" + 0.008*\"think\" + 0.007*\"like\" + 0.006*\"thing\" + 0.006*\"know\" + 0.005*\"moral\" + 0.005*\"believ\" + 0.005*\"time\"'),\n", - " (2,\n", - " '0.013*\"israel\" + 0.011*\"isra\" + 0.010*\"jew\" + 0.007*\"arab\" + 0.007*\"peopl\" + 0.006*\"state\" + 0.006*\"islam\" + 0.006*\"right\" + 0.005*\"think\" + 0.004*\"jewish\"'),\n", - " (3,\n", - " '0.012*\"imag\" + 0.010*\"graphic\" + 0.010*\"file\" + 0.008*\"com\" + 0.008*\"program\" + 0.006*\"softwar\" + 0.006*\"univers\" + 0.006*\"us\" + 0.005*\"mail\" + 0.005*\"host\"'),\n", - " (4,\n", - " '0.020*\"armenian\" + 0.012*\"turkish\" + 0.010*\"peopl\" + 0.007*\"said\" + 0.006*\"turkei\" + 0.006*\"armenia\" + 0.006*\"turk\" + 0.005*\"know\" + 0.004*\"greek\" + 0.004*\"year\"')]" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "print('LDA topics')\n", - "tm_metrics.iloc[0].topics" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "- Gensim NMF clearly beats sklearn implementation both in terms of speed and quality\n", - "- LDA is still significantly better in terms of quality, though interpretabiliy of topics and speed are clearly worse then NMF's" + "### Main insights\n", + "\n", + "- Gensim NMF is **ridiculously** fast and leaves LDA and Sklearn far behind in terms of training time\n", + "- Gensim NMF beats sklearn NMF implementation on f1 metric, though not on the l2 norm and perplexity\n", + "- Gensim NMF beats LDA on coherence, but LDA is still better on perplexity and l2 norm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Olivietti faces + Gensim NMF\n", + "## Faces Dataset Decomposition + Gensim NMF\n", + "\n", "NMF algorithm works not only with texts, but with all kinds of stuff!\n", "\n", - "Let's run our model with other factorization algorithms and check out the results" + "Let's compare our model with the other factorization algorithms and check out the results!\n", + "\n", + "To do that we'll patch sklearn's [Faces Dataset Decomposition](https://scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html)." ] }, { @@ -1364,59 +1076,47 @@ "metadata": {}, "source": [ "### Sklearn wrapper\n", - "We need that wrapper to compare Gensim NMF with other factorizations on images" + "Let's create a wrapper to compare Gensim NMF with the other factorizations on images" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 20, "metadata": { "lines_to_next_cell": 2 }, "outputs": [], "source": [ "from sklearn.base import BaseEstimator, TransformerMixin\n", + "import scipy.sparse as sparse\n", "\n", "\n", "class NmfWrapper(BaseEstimator, TransformerMixin):\n", - " def __init__(self, **kwargs):\n", + " def __init__(self, bow_matrix, **kwargs):\n", + " self.corpus = sparse.csc.csc_matrix(bow_matrix)\n", " self.nmf = GensimNmf(**kwargs)\n", - " self.corpus = None\n", - "\n", - " def fit_transform(self, X):\n", - " self.fit(X)\n", - " return self.transform(X)\n", "\n", " def fit(self, X):\n", - " self.corpus = [\n", - " [\n", - " (feature_idx, value)\n", - " for feature_idx, value\n", - " in enumerate(sample)\n", - " ]\n", - " for sample\n", - " in X\n", - " ]\n", - "\n", " self.nmf.update(self.corpus)\n", "\n", - " def transform(self, X):\n", - " H = np.zeros((len(self.corpus), self.nmf.num_topics))\n", - " for bow_id, bow in enumerate(self.corpus):\n", - " for topic_id, proba in self.nmf[bow]:\n", - " H[bow_id, topic_id] = proba\n", - "\n", - " return H\n", - "\n", " @property\n", " def components_(self):\n", " return self.nmf.get_topics()" ] }, { - "cell_type": "code", - "execution_count": 27, + "cell_type": "markdown", "metadata": {}, + "source": [ + "### Modified FDD notebook" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "scrolled": false + }, "outputs": [ { "name": "stdout", @@ -1435,9 +1135,9 @@ "\n", "Dataset consists of 400 faces\n", "Extracting the top 6 Eigenfaces - PCA using randomized SVD...\n", - "done in 0.195s\n", + "done in 0.172s\n", "Extracting the top 6 Non-negative components - NMF (Sklearn)...\n", - "done in 1.069s\n", + "done in 0.905s\n", "Extracting the top 6 Non-negative components - NMF (Gensim)...\n" ] }, @@ -1445,35 +1145,40 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-17 14:54:20,785 : INFO : Loss (no outliers): 5.486415140971889\tLoss (with outliers): 5.486415140971889\n", - "2019-01-17 14:54:20,788 : INFO : Loss (no outliers): 5.486415140971889\tLoss (with outliers): 5.486415140971889\n" + "2019-01-31 03:19:14,462 : INFO : Loss: 1.0006496938661258\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "done in 6.041s\n", + "done in 0.818s\n", "Extracting the top 6 Independent components - FastICA...\n", - "done in 0.197s\n", + "done in 0.448s\n", "Extracting the top 6 Sparse comp. - MiniBatchSparsePCA...\n", - "done in 0.862s\n", + "done in 1.343s\n", "Extracting the top 6 MiniBatchDictionaryLearning...\n", - "done in 0.660s\n", + "done in 2.885s\n", "Extracting the top 6 Cluster centers - MiniBatchKMeans...\n", - "done in 0.064s\n", - "Extracting the top 6 Factor Analysis components - FA...\n", - "done in 0.113s\n" + "done in 0.133s\n", + "Extracting the top 6 Factor Analysis components - FA...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/anotherbugmaster/.virtualenvs/gensim/lib/python3.7/site-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations.\n", + "/home/anotherbugmaster/.virtualenvs/gensim/lib/python3.6/site-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations.\n", " ConvergenceWarning)\n" ] }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "done in 0.304s\n" + ] + }, { "data": { "image/png": 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\n", @@ -1486,7 +1191,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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zO3lf7G1CgVn3/H0Armutfcw0TaER24LbMLOY74GQHkzTtNtmI7b/G7NY/bvsXGvtg1QTR/oxgKswP4cKh/GuU4j68O8wb5I/dZqmN9rBdgguSRsCe+Y/E/MPJoM3HB5vxvyb8IGYXRQBAK21SzFLEr4/q3hh0c9urX0DZhXcP03T9PbW2vWYVaF23U2YN4/PaK19AID/iNmu4CbMG8sQBxXBvAjAl2LPotzjNwA8vrV22TRNdwJAm31DPwWzjmgYC4N7Y/fCHL+KWTz6F9M03aUuaq29EcATW2vXmoi8tfahmAfd/2hfjHlCPZ6KVXcZ23VfhLEfhZcC+OzW2idgNtDiDdGvYn6JHZum6U18cwevAvDk1tqnTNP0C+KaQ5u3ATy+tXaJicgXRvEozLoyYBaV34t5g/Rad9+TMK/ZddvzW5jn4H2mafqRA7d6P+7B/h/aFUzT9GbM4q9nINk0LdcdGMsP3/cA+EKMued8K2bp0wvPpN4EkcoBrbWHTtMUMVfzvOAf5X/EbDj16wB+ffnhDpnvsvF9PYAPAfCHk7ZGvz/mZ/U+Ov40cf0Zo7X2EMwMUM7zIb3r1oF5HJwehzZ7ODz+LNfr34tnE6/DLN14r2mafmydG6dpOtFaey3md+Y3O5XfkzGvHfUO5XKOYVGZtNY+FfMP/ovFtX+JWa32THQI1oF+tKdpuqe19nzEjuZfj9kq87WttRdg3uV9FeZFokTqZxNfh3n3/rrW2gsxM9IrMQ/Me03TZAEynov5x+1nWmvfh1lkfi3mF4l/Afwq5iAV3wngFzHrwr8QJDLGbBUIAF/WWvsVzOKk7KF8Lead9Q9iXtAvo/M/inkn9trW2rdjtpy8ALPl7xMw75hPIMbLAXw+gB9bpCS/i/kH5xMA/LdlE3Au5+0uAK9qrX0b5pfo8zDvfL8TmG0nlj5+dWvtOGabhH+NeZP4BqwZmGaapjtaa18B4HsWEfKvYNYxvjtmPeh10zSF0cIS/CWAZ7bWngTgbzFvCm7CLAL7Ucw/XPdhZnVXYl5bZxPfgtki9zGYbR8kpmn6acwqmbOF1wH4j621q6dpusUd//PW2mswz+f1mO0MHo+ZbfzENE3/mwuapunG1tpjMVue2w+3YqBfutT9ytbaD2IWRT4Qs1X5kWmanj1N0+2ttd/B/FzeiJn9fh72VDNnAx++fL4uverc4vWYVXIvXt7ll2N+V/4TZu+Xs4U3YX6f/r/Ls30vgL/yNi6HgeUd8mwA395auwazDdOdmOf5owH8yjRNP5kU8XWY3zX/s7X2YsxGkd+G2eDvz+2i1toXYCaxHzlN0+8uxz4MszHbH2FWQT8GC8ld7KTQZlfbn8Ps8fRmzPruT8f87j/NxiOcSUCDH0Ygdpim6U8x747vwKx8fxlmi9rHTNP0J2dQ34GwvAgegflH7pswD8j/wDyQv+auezVm8fS/xiwS+SrMkWxuwvyCN3w/ZiOaJ2HecT0eMxv11wDzD/qLMLtZ/DZmA6WsnbuYJ/DdMRtC/Q2dvw/zj+z3Y345/zLmH4fPxcwk74XAcu/jln7bvS/C/EJ753LNuZy3l2L+4X3hUtfNAD52MXQ0PAfzQv/3mMfy2ct9n5SwKIlpml6MeXPzrzD37Zcxb8qOYjaIWhcvwLzR+gHMc/tizBatf4h5g/STmNfRRwD4rGmafk6UcyhYfhy/42zWsQZ+DvNYfDIdfw7ml9LzMW9ifhzz+Dwbq/7jp7GIER+LeRN0XRN+ttMcnOORmEWj373U8V2Y7Rb8D+ZTMBsBfQ9mQ7ebADxrvHtr45MB/AE/0+cTy8bniZjn46cwb9r/O+Z1ezbrvRHzWH845jn5fczzczbq+m7MP4T/BvO78pcwk7MJe0aD6t7fw/zueRjmd8XzML97P58u3cHMvr0e+l7M75qfwDy2Hwfg88iY0lj4M5Zrfgqzq9mTpmn61axtzRlLFwittffA7Hf5jdM0ff35bs+7AtocZOYbp2nqBukpbC9aay/B7JLzcee7LecTiw79RgBfPk3TD57v9hS2H4fpVrDVWFxGvgOzePMdmK1avxJzMIgfOI9NKxS2Ec8D8FettUd01ELv6ng6Zgviw7KlKPwzR/1o7+EUZmvlF2K2UD6OWe/zH5TxS6FQiDFN0/VtDtV72OFbtw33YA6kxMarhcKBUOLxQqFQKBS2BFuRWadQKBQKhUL9aBcKhUKhsDWoH+1CoVAoFLYEG2WIdvHFF09XXHHFoZTlw7dyKNfe99Fyz6RNZ3ptdP4g95zJtQcZizNpg9lfvOUtb3nHNE374mxfeeWV00Mf+lDs7OwcuG1cj/+fP0fuHT23zj0HsUFZ556R+kbblI3ZOmNxmHY3N95448raueSSS/a9d2zt2FoCgCNHjuz7tHN8PHrv8OeZYFPKOFtYZ72vs1Z3d3fDz5MnT3brMVx//fUra+d8YKN+tK+44go8/elPP6My7GG64IILTh87enTuJj+Mve8e6tzIA6k2CdkDHrVB3csvEv6M2qFeKOrTl6XGbZ2xUNfaXEX1nDo1RxN89KMfvRLx65prrsGP//iPn553+8zm0h5cK9c+7UH2/993333htfwS8OAXAV/D9ft7ei+bbGOh6o+u69Xnx8Kg+s7H7V7fbz7G9fJ3f89h/Hhfe+21K2vH3jtW/v3vf38AwCWXXHL6mksvvRQAcPnllwMALrvsstP3AsDFF89RQS+6aC86p63l+91vDufNP+z2mfVLPYcjz5qVmz1z6j3TKzMqn9uc1cHPgtoc++ui58VfGz2/9tzee+8ce+r48Tnw2okTc/DIm2++ed93X4/Nl+GpT31qGmnwXKHE44VCoVAobAk2imkfBiJmqBio2hGuw0izNqhrRph2794RqJ2wPzcKv+O1HWhW/iiyfvNOtzfm97vf/U6zm0jaoFgF79w9emJcxZ6zMkaYFX/ntenb3Bv/ERG/YtoslYjapurn+YuOWT8ytmZ9V2N+ppimad+YRNKMHuPlNnpYeT3VTfacKlZ+kPdB1DZVH9ebrR01h74Ofi55nWXrgK/hebLP7N3P7weTqnimzdK0daURZxub1ZpCoVAoFAoS73JMm/W70bHIaKSHHhNex/AtOz5qtBLpmNfBuvf4HbbagY7YBKhrM925wXSDEYxp29zyjtqXxzoww4ixmWJ50b09tnomRlcju39lyOfb0etz1sYz0TErewWD7x+zcZvjTEJyJojKPcgzPfqMrcPkzsS4LZo3xV57tjXrIHsfsORlRApl9yh7Ev+9p1+PfgvU+2FTUEy7UCgUCoUtQf1oFwqFQqGwJXiXEY+zwYEXuygjhJ5bFdB3m1jH1SvDuqK0dYzYRgzfDMrwJRqTnhFJVu5I23l+vDsYo7WGI0eOrMx11CZudwblksSis0hUpwxluOwR9y0+H0GN5YgY+0zE5ModbUQcP7J2bC4z97rDxEGM7rJ7lKvXiEsmj9OIy5dSx2TuggcxgO1dm72rDDwGmeEdrx1+BllsHrVBjbn/veC1bu5im4Ji2oVCoVAobAneZZi2ilgE7O3U+Rq1A86YtoF3cJEBEuMg0bJGcBAWuw4rj74D40Fdsjbb50hEqV65Ozs76TroMd4oeIMKvKICs0QGez0mOsJ8RsZUsYiMRavgLVmQFT5mnzwG3H/+37eRjcsy5nq2XcBUW30b1jFIVVLAEaat6o3AblRqzUSSj57EbR2p4UhUwp77bSYhU5KyEZcvPj4iSdw0FNMuFAqFQmFL8C7DtI1NZ64+aqfLu/3sXj4e6Y96oSENWSAOtQNWIfaie7Pd7Ahr9fdkDIKvyViuqicLhjLK4FtrK1IVf0/P5SoLncjnFMvMWLoK9xmNTS+29YjL34g+ntuv2pj1y0JFqvoyFyPurx2PQsky1mF/Zwruk7IXWMfmIDuurslsNbhtyjUzkuyotmbouYeN6N3Xkc4p6VMmubI22hpdJ/RyFIZ3E1BMu1AoFAqFLcHWM20LQ2eBNzhIP6AZ54ilpArIwmVlTDvTexpG9eAjFsFKhxntZtcJkNKrL2sbhz5V/fISBCURiWAsm5lp1E5lj6CkG4BOjmGWpVmyAt6xcxkRE2Ur+CxojAr3qthyxJo5KYd9MhP35Y3MYQ9q7COJi9J3r2Mlf6ZQ0gRuC6DXL7Nmw0hSnkwPniWV8feOhNpV1utRchv1Pl1nPrJx7F2TjRE/N/wsZPccpB/nAsW0C4VCoVDYEmwt07adETNsZnT+f7aqzJiVgtKPR7sxFQYvsu5UVrsj6AW2z3RKozvsCIphR4xOsUGWVGS68wytNezs7AxZuyrGFunXVAhcbqMx0szzwJg39zWyOGcWzvPkU89yfdy2zDqe9cVqDjOLY+U/P8JQVMKQCDzW51LXqEIfK4lIdK1qb5RsJGK2Hux1EYHnNpNIKJ29tY1T1Pp7etb80TPNbeP3qI3niERRSbD8MavXfi8ye59zaStxEBTTLhQKhUJhS7B1TJt398rKdsQCXDHFTMfIzDALOK8+IzbI+taejjvagdvulfsZWZz39PzMHDMLZxW5zPePpQFqB+1ZG7OIEYv3TK9mLEEx3oxpG7O1nTrv6tma3J8zvbd93n333fvaMWLNzZ8jvqjKQnbEf5ZxEAlItHYU61fjCezNgWd5/pqzxbj9+uP5t+/2GUkbetbVma3LaN8iGxD2eWdWHnlH9J5LtnEA9uaD62N2nvVBefTYuI68x7kPmceI1XPRRRcB2HsWo/V9thPTHBTFtAuFQqFQ2BLUj3ahUCgUCluCrRCPRy5YSlydiQ85GASXHxmTKOMKFRYvaguL/iKxojI4UkZLmchpRNTeCwU4YkTEAW0yt67Mpcef9+K3ddzO7Hq+JwrSwUY37BbiRZ0svuUx5fXnkwuwePyee+4BANx1110AgBMnTqzcwyJ83zfftsxYjseAxabeHZJdYRiZK54KdmHIDN/YHY7v8f23+61eGz9WFR2Wa47VY+6kAHDhhRcCAC6++GIAwCWXXAJgVRTsoVy8WMWSBdnhwDWGzF0wc3tU6L1fIrWFUhFaGSZ6jtzElBicx97PAasiRgzfWCXAho9syOz/t88SjxcKhUKhUDgQto5pG5S5f5TggA1+1M422pnaTo9dbOxaY0mRCw7vHtVuL7qnxxrWCfsXuTWo3aNy9fHtYXc7vxv21/o6eHccsVpuI8+xZ4gRpmlKQ8X2DNsyxsb3cvtHjBgNtjaZcUV1KzeuTPqkgsdkgYDUfDPDB/qJd/h5i4K5KBcj7pM/x5IqZpaHZZAWsS97vs2AiSUukeSA30UcStMQuW9lLnfA3nvH16fcwKwf1vaRhCFcX+TyxeesXyZROn78+Mq13CbrB0sjIokTS5lGpIK8ju1dZW2LJEksESmmXSgUCoVC4UDYCqbtd32ZLtlfG+1AlV6Ima/fdapdMu8M/W6MGTazsijAgAoBySwmYoOKdY/od7k8doeKdpncZ9Y5Zm4w7EYRsRpuvwpskiGaSxUEJGOGDDVerMfz51Q9hiz5Ry+saXRNz7UrcvlhZpMFDVIBgFjvGbFPHmNjWsrGImoDM+tIt7kOO2qt4ciRIyvr1/TYwKqUh8PXRhIJ67exO2UXwTY3/l5eZ8Zio7Vk+nYuz1il2VBceumlp+/heWb7COV66P/neeb5j2yE+Nm2sVYudRGUPYmNkT+mJHv87oraVAlDCoVCoVAoHAhbwbT97tt2YrzzZVYzkuBA6TAjdqYsv1mP4+/hHXumv2X9owqbmFmpMnjH662Urb2801Q64ZGwoDxWfpfMO2vewUcsuhce0cPCmPK68OWqvqkwt/6cWjvMeDzTtvG2e5kJROuSJTisL8wSHKjgKlkAGGZuIxbYLBVi5si6epVa0987MsdKzxuxXL6nBz92mReJza9i/5FlPj87LF2K2m3Pjnr+Imkdh+jksTSm7eszPbfVx+8Bnh+/vm3tsFSA+xBJkvgdadb4/H739jK8nnoePcDeM2d9V5b7kbeRwUtcNgHFtAuFQqFQ2BJsBdP2uy3eVavdd7S7VyxCpd3053p+4ZF/Lu+OeecZ6aVVG7lf0e6Vd9/2mel6mB0ptpalulR6d18f99PGoue/7a/xYxyy4toRAAAgAElEQVTB6yUjXRXv0JVNgwcznZ4ezXyIgVUJR2Txy23kcbC1z5banmWo0Lo8/9kzkYXyZfBaZcmBkqb4NnCYXGalfi6UPQn3/6BM23TabCEetVutlchfWyXH4LVpz170PuD1xRIJX7atPV4Pnh1z2/l5VPYCyh7Dl6H8tiOvFesPf7K3TuSnzWUpC3vffq6XdfmRpMX6rGxhzheKaRcKhUKhsCXYrC0EIdOJKJ1ixpqYNSqdkmd0PT1RlpKT2QTXH0UMU9aNbK3q7+XylOV3FClI7ThZh+93uXYtW3pmekkbC9vpMpM0RLqlUT1ra21Fvx6xS2W5bMj0qqYbu/XWWwEAd955J4BV615gj/koC91IisGsixloNMbMpJgtMbuNopsZeP1Fls0cyY3H05iqjYlvH+tqDdY/Ww9+HUT+7B485/7+SNrDaK3h6NGjqf+v8rHm+fL3WLvuuOOOfd9HIsdZubxGbWwz6QKXp5Le+GvY/oLXqn2PdMzMsNm/OZJY2LOhbCmsrZF1PL+32Y4lY838e8GSLGDV3uewIu0dFoppFwqFQqGwJdhIps1s2u+klJWzivMLaOvVSO8JxDtsvoYZY2RpqvyKM+bAUgDe7WWRt7ifI3GRVf1see532Ny/zKeXwRIR9vHM/LUzC/ZpmjBN0wozjaQ0aiyjsbV2HTt2DABwyy23AFjV49522237rgf22MQDHvAAAHtWqNbnzJdcSV4ii3Nm0BxXmaVPkQ7dwGPAEhIP7gdbVtuY+TGxMTBrYRujLD6/iq2unpGDwNcX+Qar513Z1gB7EgmWTHDcchu3qA1sc8DPpx9bawv7hTMzzewh2A6DJVaRXYyBo8XZ+SjFKbfFJFdsd+LbauVddtllAICbb74ZwN46t/p9fRzDnHXa1p7oHdmT8JwvFNMuFAqFQmFLUD/ahUKhUChsCTZSPG5ggydAu3uwQZMXd6jgEwYWI/r6VFALdiWIRLfKvSUSqSvXCwOLyyKxmAorGRkvsSsHi9DsM0qvxwkIWDwfiRd76RujgAmRO4aCBVfhpBUZWLxv9fh7TXz7zne+E8BeSEgzirE2Wp/tOABcfvnlAFYDRlgZUUAOnnc2dMrcWrgfLAKMkkOw+JPFvJHImdUMVp+tByuT1QH+nJXBATq4Dt+PyDXKf49UBiOwtcPjFrmd2XtmJH0jjyWHx+SgHVGbbe5MxWL1R6ky7ZyFKVXuin4+VH/YuCtKAmSw+kzsPzKXyo3KnjdbF36M7J6rrroKwJ64/Pbbb9/XRmuH76v1h5+J6F2cqUs3AcW0C4VCoVDYEmwk02b2khml8M4tYiLKLYMNqCLDIHWvHR8x8lJh/qLdpjIMMkSuENZnO8cuQFGYR9ulqjSOdq0xxyggA6cltfG03TFLPzxYQhEZnihjrAitNdzvfvdbYdhRwAoVXtLg59TuMeMXZkdWBrPZCGaQxNIh37/I5cm3KTLE5JCQ3AZbq1ECD8UUs3CwbDTI7kg2Ruz65a/l/vBzHBlaGlRYVn/dOsZDZsTI9USueEqKEbknWjttHKyd9t0YYfScsNGd3WPg59W3xcaf2XEUkEW5XEbzAOx/t/DzzvXbuyNK5MIutFdfffW+trGRo2+THWPpQzRWbLipEhT574dp4Hg2UEy7UCgUCoUtwUYybUMUvpJ3vErnHAUDUSk4VfATYHV3x3qiTMfIbeYdYRQghWH1s8sJMyEP5YIVMUtmdMx8skQeStoRMW0eL9bRRm3LEiowjGlz+ZErHru3GFj/BawybGMappfO9O7s1mb94OQIfq3aNUqPH+36Wfqk5j06z1IgZkKRDpL1nirEZpZSlSUY3N9IksTrjs9HjH4Uu7u7K+5U3j6Bnzf7btdEUkFmuByghSUkfozV+0aFT43ayCF9rX4vLeqlCeX14Otg+xoOspLZEjGLZZ2zkjj5+mztmO0I9wlYDU6jUo1GqZxH7GLOB4ppFwqFQqGwJdhoph0Fqe8luMh2d8w4ePea3aOCHEQsUCXBsB2u3RtZ1TKb4J1vpOdVTIR1zZFtgJIycJCayNK9pyP286bmiev3LJB3w1lwFasjC8vJyVZUooPoHi5XJaaJduwGtqq3NeyZj2LNzAIjxs1jrGwoouQ2KhBL5unAQZCi5DncDsXCRyRXymrc4AN/9NaKh0lpojVo4PayBXj23lFBiLieEYt39kSInmkDs0t73xhD9W3gZ4HnNHrv9MKyRuOpEu+odKtZOGr13vHfOWxuFJTG1x/1WUlBzxeKaRcKhUKhsCXYaKad+V8q3WuU2INZpEo/Ge3qlGX5yO6LmSizJd9GlQJU1Z+xAd6BRmnuVCJ5LitjWkrvGlldKl1tNo68Ox7VbXtE1ry8rkaSwHD5ancf6RiVFCWyHuc+cnrNLIytknQoyY8vl+c5s21QUi5OtBCtLSU1yb6z1IElMCN2JRlam1NzZu8Bq4PtNdjP3TM4td64nsj6ndkkh+PMngWlr7V7vV6a7S3UsxCxTl4zzNoj2xqVKlV53ESSK9WmaK2yNEiF6Y3CHXM/NwWb1ZpCoVAoFAoSG820DVlUJsWi/W5J7XAzXba6l+uP2sgslvU3UeQwZS2qdoi+zUpHz233u3MVDD9KSMFQ1slKT52VwTv8aN5G2sT3RBKJXnmKBQCrUbnYXiDyn2coW4CIvfTamiX9yHSKvg5/jtcsM5AoahufszFgi93IT5fr575kUq91JCMjmKYJu7u7K/EOMmmWkhhFdhxZNDt/r38+WTrG0o2sTJ5DaxMnKsnapN5vkQ6d7SKU/Y+/X3k0sM1S1C9+JtT7z//P0jqVEjRqf/lpFwqFQqFQOBDqR7tQKBQKhS3BVojHPZRLChs/RCJAZZCTucr0RM+RCDAybvBtj4w6lJhKia+zAPfKQCczzlMi1ghqrDO1gzKwYxePSJzNZShE92YuZAojfeecxVECB4Vs/bE7IAe5iESOKre8IQuywyFplatPFE6S559VBlnubxXkIht7Ffr2MMSXp06dSl0M2V2P13NkGJYFKIrujYI6KRfAKH+3wdrPebqtD5aUI4Iy9uLzvm1sgMjzH61vNhjmd2a07tT7bERdwu8s9Tvi28Iqyk1BMe1CoVAoFLYEG8W0zfUiM1bhHRp/ZrvbHiPhOvw1iiFaW6OAFRx0n93VMqMrPp5B7eSz1Jzcdy4jY7W8W1ZMOzII4XHktkWhHFUbGb5/GQtTc8jfo/vVteskF8gM9FRADEPE6FT4UhUCM5LS8Hyo+oE8aE9UX+aeNmIUynPZY4PrYpqmfUzbEL0H+P2TBdBhiVqvz5FkistiiUg0tjZn9mkGaNGcjibHyNirnTPGzW5wflw53CszYDXX/n9+1ysDNf8/J3hSBsYebMS2KSimXSgUCoXClmDjmPbRo0dP76A4HCKg2Vamjxpx7eJ7DMr1hnWYnp0pPdRIWLyeLilqIzN7Zk8RW1L9YnaUudBxGRnTVm53vbC0HuuEE+R5itqpWHPE2Hs62IwZqLmL0h+yjo9d49YJ9MBtjALlcLnMKmztRGPC6y1jLYYeW47YEvdDBY05E8Y9TaupOaP+qGAq0frNnge+lqH0tcrGwV+rpDPRe4Clmj0bl+i9yu/rLCWvXcMJQtilMrNJ4Wc7s4tg/TTXn7HoTNp0PlFMu1AoFAqFLcFGMW1g3n0yI83YktJP+h3hOkzAl8n/R/VEFpJ8r7rG90sFGxjRvfBuUSUo8DvGnv4zC+bC9/Qs7KP7e3o+/z8nTVForcn2+/aqvkc6bcV8VVlRfYrBRf1h+wc+nkkxDMrWINJ9c/pT1pmyRMT/z4xbMcdMSqPGM6uPx3V0fShYcJWDhKvkeYos85XNgVqH0TVK5xyxSg4kot4PUXk8piroky+H6zl27BgA4NJLL12pz8Dvz5EQxarNhmico7DWvr6IRatnflNQTLtQKBQKhS3BxjFtYNV/MbKqZD1utlNX1q3rtCXTXar6lDVqlNKuZ7WZ1cdWo1xfxM4UQ1BWslGbuD/ZuHKflX4vYiqGnn+1vz+zJFWsOdKJKXa0jpWtuifayStdZqYPZYap2FJmAczPWqbHU6F1R6QnPdYS2SIwslCnB4WxbSCeA15XzC7N99kstf21PWaYPWMG5T/vn2P2deYERZENBY+hmls+7+th3TYzbl/HxRdfHPaT4xJka1bZk0T3WJ9tflSK20i6xsl0NgWb1ZpCoVAoFAoSG8W0p2nCvffeuxJ9iK/xsB0a3xOxl54/aXSvYmOGKDIRM1HFeEZ0JetE+4n0j/54xEyU5Xemy1ZRi3o6u6he9T3qT89f0vfPrEMjPT7vtvl8VE+PgUT96OltozKUp4Oa26hcdTzydDBw1Cy71sYvsopmP1y2COYUsVEbs2ePj/X04WcCX2+UFtLGgRPtjHi6KAnEOs+LYqR+Lm3uOHGLIWL2yu9cjW32nrN+8bNnjNtfoyzMR+aytw6iMhSDjyzuOZnIYayvw0Qx7UKhUCgUtgT1o10oFAqFwpZg48Tjp06dSsN9KiMXFmVEQQeU4cqI2w4jC67CYsGRsIUqmEEv/3BUPmMkpCcb9mWGINlY++MRWKSmXM18mzhcoYJ3+YoCibCaRH169xM2WFnHVYnXSM/4z9fNwSZUIImoXBaHq8+oLSwmj1QT/FzyGLH6IXL56blsRgZWfO4wxZa7u7srLqa+DWr8rf2Zy5Ka90wczmPGYnH7Hq0dE4tbWFFWtUShgtUznanAuPzo+fHXAXuichsTW2frqEmUGJzb6qHCX7MayB87TEPHw0Qx7UKhUCgUtgQbxbRba9jZ2UlTozE7UQlCMlcBtYPKdlaKCUS7fsW0bbfHBju+vcrtJGMVzHy4nxFbUvWxm0PmJqI+o3HusVtuly9nNPDCqVOnVnbUkbugSlLA/YuOqUAsUbhPO8ZrhBmBN6LkZByqfP9McPk996AsrK0KKOHr67n4MePOjAxVPZELTs8g7UyRGX2qsTWo9RxBPS9RQBk2QOPPCy+88PQ95tbE644lVv4eW2887sqI1q+dEydO7GujGZeZW1f03PJ7hg36sndwb2wjiQ6/59SzkgWe2jQU0y4UCoVCYUuwUUwbmHdLmVuDvw7YY60Z1nVNygJy8CfvYv3/o+5iUd28I2T26vvNu0alJ8x28syeWF/pd80qQMrIOCqmuk7glAjTNOHkyZMrO/bMZW3UxiE6xzt0Zjf+f9VHDiLkrzXWZJ+mF4yYMD8nKjCK1W9l+nJ4zXJZkZSG55RdjgyZ7YZaq5FrEbftoGFLGWZLw2kqI+lCj/VHyIIceUTPJ7eFpU++3uPHjwPYY7Gs27Y5vvzyy0/fY6ybw9fa+4UToXj3LavP2nTRRRftu9bK9vPPUkh2D2RkgWDU2I+MIz+3mWRn03TbxbQLhUKhUNgSbBTT9ta/QO4kHznFWxlRuf5eZXkeWQAzW2I2y9a+UdtGGIFiYayLifrX081m9SvLcg6JGNXHO1FuWxRUI7Ogj9rh0dNpGWOK2uLbzWsmswBndsd6YbU+/P9cPjMvz2KNBRvzMTZjbMk+o7FVUgxuj2faLElhm4BoHfAccjAKLjuzK+A+RHOg7EkOy3rc1g333a8Tnl9uS+bpouxtlCV6VA+zVzt+9913n77H5tXYsK0hK9dYs7/Hztm6sjJMWmL1WR9Mj+3LN9hYWPlRcB0rd8RLBYifxV6Qqmgc+Xm1tmceFXbPOimBzwWKaRcKhUKhsCXYKKYNzLuaET9GlYCC9VIevbClzKqic8p63ZfJDJv9VjMWq3Sx3Da/A+WdoH3nMjKmqkKtZvpwtsJW1vLZucNi2tO0P71iJnHhujK9pNrFr6PT5L5zOkwPYzzGlpg1RaxWMTZmg1lYxp40KNMtclhb1Q4PZS0c3cOsX6WpPFNktgE2/mzdz+2OQoSOxjGIWKXygY7GiUPOqnCy3m/amLXVbeeYiUY6dJbOqAQ/3v5GpSvt2QxEx0YkLdZ+6xfrsrmfUbmbZk1eTLtQKBQKhS3BRjHt1houuOCCFR++zOda6fH8TriXFnJk56YsQKO2qShDmZ6Q61EWkRl7UYk8It0SSwq4vGzHq1iZ2kX7+phpZ77dqnwFz7SZqURlq517FNVMRcDreQgAq7EEjHlErI0joCmdeSQNUn7h62AkDgKPrdI1Zs9IL+rUOj7ShwWeyyiJhGep3E5um2Ke/JxE+lRbBzwPPLbR2uGodnaPvVe9TlvZdxisvxwxEdjzy7Z6+btd670JuF/KeyBbw0qyFK031mFb+fw9YtqbZjVuKKZdKBQKhcKWYOOY9tGjR4diTStdY2Q9rJLNs16Nd7P+nGLY2S6Zy2OmlVnKZztqvlf5PNpn5Muu9JDKmjLSt/V0PVlEtJ5eNLqmt/Odpim1JOUdtLJxiPT3ym+eGbcvSzFs+zS/Vp+m8LLLLgOwF1Xq0ksvBbCn2zbrXc+W2D93HSZq7bU2KJuDaK0qew9VR3QvX5PZFZwths2I2sheA2rtRNEb1XclEfNtUOXbvZ7F2j22RpSEMXomGLZmbV1E/tT2v13DftmRbYuKAa7eP1HMAfaK4bGKogUq748okuGm6bAZxbQLhUKhUNgS1I92oVAoFApbgo0Tj+/s7KTiHAOLzDLXIb5fuShF1ytx4YhhWBTGD4jF48qNZSQEIiciYVeMyBCN+6pcTKLUo0p8lLlzsRuKmoNM7N8LY7q7u5um88xE2Vm563yPVAJKXWGiTROF+2MWatI+TTxuonD7BIA777xzX/ksLleqCF+fTyIBrKpH/D0qXWkvkUiEEVXL+RJXRmJWDijChpSRe1MvGEj0PuDAO8rFMEvGwu+dSMSt3jcs8lZupB5sYBsZ2imXUhUeOgpWxG3g5zpLpqOCrETv7001SCumXSgUCoXClmCjmDawGsrUjhl6wS5GArNkdXN9ynAqY768++0Z+UTl9oxvfL3sWsE7dzsfGVuwIQiz8mi3zDtalfIyMlpZh2mvk+7Q2qXa5tudseOozOhaxXyyoC69T2A1zKN9Z+bjmbExdbvGmLcZq2VjwlIA5YITGeexlKs3Nmp8/DXrGEsdNjIWy4FL+PmI3jfKrdHA858ZQ7EhauSqFLm7RmVF601JY5iBRs8iByhh1zMPdvVjg97MbZGlP2zomzHtXhjaSDKbuRyfTxTTLhQKhUJhS7CRTLuXOtGfU0E7snsylwRGz/Ui0vnyNZy6MHLjUrrrkTRx7HqhXNkyXQ+3w5BJEphlsN4r02mPuBZltgYKWbAL1ttzeyO9XS8oTNbGHrOPmAGzJWYt0ZrlMbX1wOk8s+AkylbDkIV55Hao0JS+jfx9xH6F7zlbDCjSp7JLEocmzpi2CqLCz3gUwMagXA6j5B/2nlFz6etR86Fcs3xZzOhVsB0/jup559CxUdIbJR1UjNvfr1w1o/dgz27lfKOYdqFQKBQKW4KNZtq966LvGWNT+qdMh8F6QL4m2mnzzo9351HwfWXFGQVG8ed9udmO07fD/9/T22S7TMXKmbn6/3tMa4TlKnid9ggb411/JCHopT3NkNk9+Lb5eeGwkSoZDFt7+/LYPiELWMH9UsEuojSVypZBPTMePYYd6dBHg/qcKaJ54fCymU7UoMKYGpRe11+rmKLdw9bs/h5m8iPhjHmtquBC/h72VmHJTiRRVM+pYtMR1Hrwa5WlPipVZ/TO3zSrcUMx7UKhUCgUtgQbxbSNZbO/cRTKTul4M39fvtcQ6bD4Wr4m2wnyDlclColYpfKbNozUpxJ6REy7Z30/wm5GdMPKzzOzpGYJQsa0jWXzTj2yRuexZUbqmQFb3vO1jKj9ag6jNJu8RiIfXiDWt/ZYU2QV3WMgxuRGdPXcb8M6krORJEFnG/y8RnVzONNobJUVt2KzkaU0W3GrdefL57ZZGXbchz5llsxtVJbvHr0UsJEOna9VrDZ6R3Jb1fvc18Psn9MnR3YlkUR0E1BMu1AoFAqFLcFGMW1jSiO6hJ5FaeTbrRKGrKNPy3RY3Bbe1XHbfD1sJdwL9p+xAG5zxMBH0zdmUgGlc8502oqNZ1bRI0yb+xddq1iEahuwt9vmHbmyso3q5Xt4lx/pJRVrjtiF3c/+snz8rrvu2nc+aouy3s2Yds9XPfKVz/qj6jvXiPy0mX3xsx1ZgPfsIqKkFRzNjucpS7DDz82IdXXUft+myNOBGT0jqo/fjcoThSUA/hjr5vmdmL3nbFxZohRZqY+8688HimkXCoVCobAlqB/tQqFQKBS2BBslHgfyQAwRDuIGwiLMLNygEnGzmM+XyYYs7PoQuUJwrmUDh09cJ/SpMp6Ljqn+ZLm4DereyABFBSeJQp+y2Dqb42macOrUqfRadX9mDKfGPVMFGNQ8KDG9/5+Ny7IgO+YmxkZjtnaU2Dw6x+JElcjG95lVOpxPPnqOe8/2uTI6G4WNU89wy2M0SEeUw57XDM8tG1H6/23eLbxtFkCpZwCojNl827hcFi9HxnMsemaRd2TExuiF3vXHlDg8M/DbNLG4oZh2oVAoFApbgo1j2tM0paE0edc4YgzT29WPBPHoMQ9/D7NTJQ3wu0je6bIBVMZiuR7FoiMDO76WQ2FmrlOMdRirMkjzzGHE3Y3PZ65qbGyjWIVHz0WN2WRk0GKfFnKS2WwU7lW5C0augIrR2HdVL7BqrKbcBSMwG2KDqyxgjkEF09g0ps2GTNnzwff0wm1ma1WF3TS3rSyoCz/LBv9+4nNcBksHI6My/s5rKJPw8TXKxdFfo97FEdNWroxZwCF+5tUYnS8U0y4UCoVCYUuwUVsI00saMuajduaRbkYx6J7LUlSvctaPdNo9VpG5pfFOlB3+M6idqB8TxayVW4XfnWdJPtTxnt6b642u7QWWGGHiUXszxq2C3DCYeQPabS8LhsOMV0lCovXGbTb2oHTe/pqDMFteOyrdqp9T5V7JUqJIkrAJYPc867ONcXTOoGxPrK8+NC3rhS0ZEM9hxpptblnyl71Xe2s2upelDpke2qBCq2ZST7V2soQ4/L5myZJ9RglDRmxpzgeKaRcKhUKhsCXYKKZtYUx5F+Z3tyoEYBYgRQXA4B0VW70Ce7oj3sUpa1t/rdJ7R2y5x/6YqUaW2ayzzSx/DSqdptppR21Wuq2RejkFZRSQxT6jcLYep06dWmGkkT1ET0KQ6WD5GhUwI7vXWFOkT7N7Tpw4sa98JXmJylcsPbNtWAfcD3tGVIrQaDyZPbM0KGI+mwR7J6lQpcDe+GTW28DeOEWsmZ/70fCf/hqWakXBgxTDZQnYiASTx8SHTeVnj6/l92kk9TIou49IcsXPmtl5ROufpRwqadP5QjHtQqFQKBS2BBvFtIF5J6b0rIC2OmQ2EVliKkbITDvSq3JZinFHbeCd7oj/udrBj/gzG7IdfuZnHiHShxtUONCRa9g/fSTJiGrfyZMnV3zgI7//ntV4pvMbsX/g9keME4iZwUUXXQRgT7/JTCHSg/NccshNlrxE1uM8p+y9MBKSVo1NxJbUZ5YwZBPBEo/ICln5dvP4GTP3/2cs2ZcFrK5vFfrUvzusHp47tqGJ6ldhWtlKPkuiwmVxmNEo5KoKvcvPSnTsIF4Sm7YWi2kXCoVCobAl2EimzTptr1Nga9cR1spg3aayZOa6/b3MbiIdHNejgvFH6PlCR37hKrLbiP6Ly+fdZRSEX7Up0lexzjqzGjesY71pTJstZtdh2hEzVLo+/p75XDPT4rmN/EqNcStvBd8HlRSB/WYj+wtmLcomIPLqiNZ+1M/s2dh2ps2ILN35ebA+mq43el5M0mKfdi3fEzFRtsSPLPINyrLc7snqY99qFTUwAq8ZthGwe709U8/Hmn2x/f9sLT4CZftyvlFMu1AoFAqFLcFGMe3WGo4cOSJ3psDebor1JiMWyxEb8vf22gboiD3RDrTH6DKmrfTfkVU0MznFtKNyuM08jpGNgNJ3ZtHNWGpiO3hm2JFV/IiF8zRNuPfee1NrdLU2lOW8v9927D3r8RHpSWaRqyJgsS7O38N6O2XbEKUaNCZn5Vr6znVsHhRrjtqqYgeso2PcZEQSEH5n9SKjedgasXkyHTRbffv6VIS8TJLE1zDTziIw8rrmfkQ2SSoymkoR6/vD8dgV447OjbxLMsnbJqCYdqFQKBQKW4L60S4UCoVCYUuwUeJxYBZJqIQOwF64QCVeie5RhhgqrGDkTsMioMyobDSpSRQApmfMEYnNeyEAR1QGKpiLakfUJh4bb+TSC6aSuQexQY3qx913370SDCdyc+sZ+UWhSLN2Kqg1an2P3KlY1cF9zlQdqk3Z/Cs3JF4XWYAUTmqjEjn4Yzw2mcvmtoLdmPi9xsZWZnwI6NCcLPLOQoaOuDj2RNsj7wHl4he901jtwuFfeX1ERmU8Nuq4KqeHERfW84nNak2hUCgUCgWJjWLaZoiW7WyMSbHpfmY4o3aP/Jm5azCLyIJrKGMHxS6idveMyyIDq8ygyl/n/1dsMEsUwG3ioDRRkBo2vmKmHdXDTKG3Wz558mQazpbBTDDrK7vt8fHI6Go0cUzURmU8FrEJNrZR5UcuX8oQSUmh/P8qTGrGllWCkDNx4dx0sCueCkqSzamF3WTpjJdm9RJoRO9GlpIpd9XIyJGN4dhVN5t/ZsAcIIUN0vy13EZ29YrG8SDhelVAm/ONYtqFQqFQKGwJNo5pHz169DSbjnag5vqQ6Yf9cSvXH+Pvma5UJeMwjISz5DYpdhuVrwJZRHpC3knzTj4bk15o0ogB9XTZUZAalSxhBJmec5qmVJLg61ZsPGP7vYQqhiyRR69+fz+7tTAT8QyEA6QYlE1AtA4UE4ncxKJ2+++ZBEHZj4wEAFLujwdhUecD1k5jzfZMcNhRYG/cObEFS6x86FMDv1+ygCIsLWMod07/Pz//7OIWwa4xF0Prp+m47TMLY9pj7f7cOovYvpAAACAASURBVMikf5uAYtqFQqFQKGwJNo5p3//+919hJFE4TGVRHFlMKobDTIStYiOokI1+N9bbqUVWyqptXEakL1RShnXCmCpL04hhqSQGmU6br1XW2L6N64S0bG1O68o6rCyFKWNknHqpTFXbPFQgm+gapT/2616xVqXbjurr3RN5Oqi1MqKr7zHtaA5Yh7ptAVm4vcwco0QXbIFuzNqeMX8Pv3fUmolsGlTwIDseec2wNbzy0okkSXbMmLb17/jx4wD2mHZmPc7PevZs9OD7pexYNgXFtAuFQqFQ2BJsHNOOdnI+ibpB+UtnrKWXDCNjWMrS2LddtVEl0oh8klW564ReZcvPaLfZKy9jwIptMhOKdq8qRGA0JjwvPbsBz7QjvZqyjF0Hym4gaiPXo8J7ZnM54r+vpDE9CYwHs/DMb5qlXOpzhGkrtp75A3Oq0UxisWksycPWqLXf7HWA1ZSpivlmdiMqVGzGPpVXhyHyIlB+4JlVPIfNtbEwhm3HoxDWar15XfaZgN9jpdMuFAqFQqFwIGwc0z569GjKQJSf4oh1ta+HrwFyXbay0I5YZdSv6J6of+rcCNNS3yMdZI/hcDsiCQh/V7puf075O0fJYVQksQzKV9X/z2wik8QoX/eR6E/KspznI7PMV1bqnmEpBsrPQhRlrReJLPOR76UNXcc2hOuL+sdjkEnZ7FrTAW9aVCtgj1UyiwZW1yYnruHIf/7/kefEoCLgcb2ZHUTkleCP+7lm7wezGlfeEZE+XHkgnIkXQfSuMmxadL7NW8mFQqFQKBRC1I92oVAoFApbgo0SjwNxsgYvnmC3IjZGMZFTJHJkMaj67kVOKgRlZvzSMx6KjJZ6or+RsKKMzPBotM2ZEZgKqD8S+pSvzdo/ci0w95NFsz6wBKtUWDQYqU2U+Jj7GLmHjCa1iYK5KPWEiUUj0TOLUNdJlqBEndHaUWEyRwKm8DiqhCWZuJLni9UCUTmbKB432Bo1UTGwuq6UAawXhasx5XGKAhopdVXPTRLQ6yvKb21zZO9p67t9Z/e3SM3ZC5+7juFYpMpTrmybgs1dyYVCoVAoFPZho5i2uXypoCfAKuPgXX20o+4F02BDnSjZCF/DO+Eo2AmHHszcrJSLhTIMi9hZL0DLCNTufKSt3J4IKplANG9Zn3vtt7H3qf+MlbALYWQEp8pVu/rIEFEF6xkJm5sFqPD1+3v4uxq3iL0oQ6TIrUddo4K7qHZHbcvWmzJws2sjA6x1wgyfL7D7E7DXV5XCNpIuGNjdkSVInmnze7M3XpFLI39nA0UvQVBMmw3QMparAv+MSAVUf/yYKOnqpmBzV3KhUCgUCoV92CimbbCdTqR74R2o7dCye5RLgkHtGP09KjRjxnxtp6kCcIwkDGFpQ1YfQ4WmjNBja1mwi5HgJ6OsOUobqNrImKZpKCgIz+WIW0sPmYSHXa2yNqrxUW4u/v/eOueyfHmKWUdrR13T+/RQiWMypqfShkb3rBNmdlPg7S+UhG9knJSLaTamKkASI3qHqIQdzLh9H419s+0J67KjYEtZW/geJdlh18JM+rBp2MxWFQqFQqFQWMHGMe2dnZ2uJTWwtxsy/SQ742esTF0TsRg+l7EHbptJA1hPE1nIrpPcw5cRHVNty9JGctAaQ2RRPRrmLzqugtREu2b2FMgwTVMYLjGSvLD180gqvkwv7PsRHVtnnfWkQVGiHBU+lO+JmA+PxUiSCRVGstcHDyV9GrFfUOvcr11eo4fNmg6iP10HHLJThW2OJFP8fsvWrgpQw++q6Pm0crmtbDXurcfZWlzdEwXZUbrrdYKq8NqJvAu4vE0LhVtMu1AoFAqFLcFGMW2zHvff/SewtyNiC0m2So7uUcngVYB9YEzHx9+5LWxVafV5K2blO66Yd8YGR3bYqnwVwi/T9yq9UZbUgj+jfrJfdWZ1PU1T6C8asQpmnqwnjMZJIfM86OmnIx20sp3IUnOqhAnMhLPQroqdZ21UOvSMhbJf7IiUhp+Nnt+2/38dhj1iNcz2D2fbstj6Zu+uzAOF9bP8/omeI5Uql9lllvyF9dCcVtO/d02XzTpsTpAyEr9BeVRkzJif8chP+1zN7UFRTLtQKBQKhS3BRjFtYN4JjSRU4J2S7SKz3THfa5/GULLEGj2L2Uj3woyEd7MRozuID3TP0ju6p7ejVj6Q3G5A70hH2jrirx1ZeEaILJwzewglPYn6M2K5rsB9XccS3JBFORtly1HZymo889PO1kb03c+pPac2l5xEJSqD2zTCorNENIzWGlprK20amVNDpBs9rFSRHtYP79Nt4Eh/tkaM+Zpkzz9HSvev4ilEtg12r7FoZuCeaXMKTtaHc7siSRmXz+ejcpREMWLa3JZNsyLfrNYUCoVCoVCQqB/tQqFQKBS2BBslHt/Z2cEFF1ywkvggMsc3sYddY6IhZcgD7ImHlOjPyvIioSgHcXRPZojGbhuReJxFWkokE4kGlegnE1P2Ar6o4A7RMa5/xB1GiUMjg5DRABlHjhxJ1Qu9JAiRKLiXWzczYmTwNZG4ml1flAFa5N7G61fltx4xtGREAYeUoR2vpUwc2zPW8//3ktpE7R1NGOJdTUcCGCnXoci4VBnAHga8mJyTJbH42HKLRy6ULFpW76qDuH75e1g8rkTR0TOaufhF3z24nhE3z00Tixs2s1WFQqFQKBRWsFFMu7WGCy64YGWX5XdQytXLdlK2i8zSEbJhGDMHvytj1sLGMNEOlOtWzCByveix5REWoAx1Inc63oEqo6kRjDBrbj8bgnhWto5BiBkTcTmRRIKZ20hf1Y6cv0dGXlwur+vIqMzY2QjTVsFTesZl/tw6oRsV61TGTNFa7QURikK7KlefSEqzTohdO59doyQsLE3wTJvbYHN6tlyJeFyOHTu277ux2yg5hnpX8DsyWjtcFvczYto9iU7m+tVz28pSK0drRZW/qdjs1hUKhUKhUDiNjWLawLwDYhbrd2UqCAC7A2Q79Z47VRZekllM5hLDCUOYzURuVKy3G2Ha6lzG2hVbMfTcqyJkrlM9fWQW5GAUni1Fuu1s7FR9al5UeMfIVcnWgdLbRno7lvCocKPZNYqZ9oLURG3NUo8qd8WoLD7H4zgiSRq14VDHomv8eyfqqzFEfi6MWWfuRtzuHts8W4jCiirYWHBAlizIEr+3zwSRlFW9G/k3wc85uxQqieZB3DzPF4ppFwqFQqGwJWibFKqttXYzgLee73YUNh7vOU3Tg/yBWjuFQdTaKRwUK2vnfGCjfrQLhUKhUCholHi8UCgUCoUtQf1oFwqFQqGwJagf7UKhUCgUtgT1o10oFAqFwpZgo/y0L7vssunqq69Oo1r1/JgjqIhU6vhByhq5lo8fth/gOv7Hvbqz8z3f8czXVvlHZj7LHA3sTW960zvYivPiiy+errjiirRPB8FI36LvWVnr1HuQezcFIzHoR57NXurUkTjVhhtvvHFl7Vx55ZXTNddck/RkFWdjPtZ55s4WDmKYfCZREw+jvnXe271PQMfg+Pu///uVtXM+sFE/2g960IPw/Oc/H1dddRUA4PLLLwcAXHrppaevueiiiwAAF154IYDVoAbRJHBoSA5kr8I9eqiA+VFOZD6nXjpZABgDB2bh6z3UD2EWElAFqMgCV/DGiXOaW8AJS1Dgj9m82Xe7h3PxAnvBQu688859nw9/+MNX3HOuuOIKPP3pT1/p35mC+8S5vbNwmb0XbRRwphewhO8FVgPAqAAmWSAJw0jyF/XSHNlo9ILH8Kf/35JjcLIJm5uRxBzXXnvtytp56EMfipe//OVy3Pz/fI5DtUbj1At6xHVE14yM7eimPQtjuw6h4TlU57OgRfydy8zuVfnjo/7ZMU5YEuX8PnHiBIC99WbXPOtZz9oIt8ASjxcKhUKhsCXYKKZtCUNs58zsBthjPhy6jnduEdPmnViUqpDL6u1Ae/3xUOkvs/KZJWf18+40kxwwFGOM2GBvTCImwelKDTaPxsBtB+zLMemKP3euofrMSQvWWR8jEhAGSzf8sYwd98pWoUIPAh6jKLSrqv8gIuKRsJw9nDp1amUc/XPDc9VLnev/V89UxrxHxqOHEdY8yrS5Xf4atd4yyY46x2VGCXhUutxoTlTynBEpZJaO9HyimHahUCgUCluCjWLawMwg2BDNp7tTydkNzKL9/xwwX+lNMp22QqbzUbu7LHED7/ZVYoWsfPtu/Y/0oIZeMH5fH0s5ODFCxM5tDtU4mgQlknKw7vJcgufK+sRjGrEAtUaz88ykeylN/TFu80gCh9EkKiNSoZHniPvM0q/DevbWwTRNOHny5Ok1mNWb6aHVtepzZE6VncLIvGTSR3UPH1/HwHIdvbti5fzu8mWotJ0RKzdkiaT898xmI3tPnw8U0y4UCoVCYUtQP9qFQqFQKGwJNko83lrblxOZ3WsALY4yEUaUM9YMmOyTxeOZK5Yythg1+okwIh5XYrFIpM/iMC4/ukeJTpVBmhdT8bywWxTXAfRVEpGo3dpmrmMsvjwX4DlSblSRiJCNbZT40ItF2aDNrrFxyfJaq++ZCLcn/oxEraMuPiNGPmwoFBmHnm1DoGmasLu7OyQWVeMVGZMpVQernPi8P9czEIzeA9ZuJTaOjOUMSqQ+4i7Kz8aIMZ3qT6QuUWtkZJ2pZyR6Fx/E6Phcoph2oVAoFApbgo1i2sAe2wbiiGgG3iGZc7yxaXOM9//bNfapHPqjnb3a8WZBTpSrR+by1dudRoZ2fIw/R4IO2Hfb9fPu38+BnWPXPPvk4DX+Hmbl7NaXGVixwdu5BEstDD0XIH9OsfOIxZp0gQ3gIhagpEB8PmIdal3z8xWtNxUoZcRVRkmBRiRJhw3/zvH1rMO0sueEJVMjbpU9pp0ZatkxxUg9RozHojZnbVwn4FDPaC5y+bJx5fcb3xuVP9pff++mMe5i2oVCoVAobAk2jmkDubsRuzEZq7MwmMePH9/3CeyFpWOmbffyji3Sbyhk7k3MHo1lRjtUdhnivnPbrL/RWKgQfZEbnOqfYgnAHgu0gCgcmjSyK+B7uc2RVEUxkk1CxAgYdq6n2/T/2/iwK1zGllQgniyIB7vEqNC7vn8q9KjSR2Z6VyXxifp5Nl1vomcxkmaokLDZe4LHg9d6FDDHoFw9M0kf65ZH1qiy0eHjkeunYtpRv5QNEM975KbKkhz1PZsLVf+mBVDJsHlvwUKhUCgUCiE2kmkbol0RszjTVx87dgzAHsO27/4au4cZN1uVe4bYY9rMooE95mnhN21nzUFC/O6uZ8XLrNkzbe6HnRtJoKDAzN6HELXx5PCiF198MYBVCQawt2NmnbayPAc2T5e0LlRADMNIsAsVJjULBqHawfYKURu5TFtDJq3yx1iio0J9Rsy+11+Pc8GCsjC9gJZ8GSJbE+6/krxF1uOGdcKYKknHiG0L90O1I1tr3P6RgDnqM9JXs4cQr7tIKsTHWGKQSYMMZxJK9mygmHahUCgUCluCjWPa0zStWAlH1rVKl23pG731ODNopds+CDNl615/TO0A2VLbX6N2y8xufFutr/Z5rsLu8Q7UswwFGydj1swyjL378tcJqXi+EDERxUqUf6uHshJmBuzPZfpHX18WatXKV7EM/P/MXlR4W/8887OtmF7EBs/kOc3QWjv9F7XF/88SqHVCxY4kCuF7DEpPnHlb9NoeQemylf7at6ln25C1hdmzzXHEmtk7hXX4Ud8ZI88g929TsFmtKRQKhUKhILFxTHtnZyfdjfOu25g2WyGbfjW6h9mq8m8GVnelvMM2vVTEJpSvc2ZVybs63pFmluBng2FfdtllAPaPJ1uWs14602Xa2N9+++377o30esa6N8GysxcpLmPabDXM/roerO9UlsaZXlK1MUvryYyaJSK+DrZPUG0f0Q0zU+UYCv5+fi8cFuO2iGgZlB6VJRKR54mSvGU+18yk1XqI0hbzM8VjvI5UIPMl5/WlvHG8jZCSdrLU02woIqbN7WdpQPYuVol4IpuGXsKf84Vi2oVCoVAobAnqR7tQKBQKhS3BRonHW2v78mlHySoi1wpgz80qEneo5AQsluLzwKrxmIlxTOwy4qpibckSX3A9vaAnfkw4UMk6YnIrz9pmIulLLrkEwJ5Y3IvHlfifkQVisDYr9zFfz4i7ydmCEuMqI5jMEI1FqhzKFVgNEWtrhcWhfmxZdMqqG+5LJOq2e20dcH/s+fL9UGuW64lE3SpIibUjEqlaOZdeeimAPaPTKIjPQcBBY3y5LPLtBWryx1g8roI5ZSoIDtgUrR37n98z7Gbn104vt/dI8g8OeMXqR++eav/bc29icHZTjUIhM/hdHxk+8nNk61iNTdTHMkQrFAqFQqFwIGwc0z569GhqJMABHLyLkD/ud1CKDfPOLAr3x7thdquKdtjcFivXdnfGWv2Oznanyp1GGa9wOb5Ntmu1854t2Q7UWMvll1++77uNK+9Qfd3KwCYKcsAGNWzkYW319diYMjs/W2CW64/xmlRSGw9eO1wWMyNglQGwsV/kLjiaAjRiSzyXds4kLQbPOnnO2D0nM3yzc0paEyUoYRbGjNueSc/o1oV/N1jdPqAMs0d+7tlVyfdFfY6wSYOtEVszzBj9OZXQx+DnQxmPKnYeSSHZEE2xaX/MXHTPZM5USNxI2sVSAJZcZGl/N83VtJh2oVAoFApbgo1i2sC808sSRNiuh3eItpOKgg4o1welJ/R6Vds9MpOynWKkj+KdmbXVGLa1x7NKTqRhbVChMKMQqBxW0tiy1RPppa+88koAwNVXX73vGtZxR8FjmDEwC/G7aMXoOGGFZ3TMUM+WTtv6nO26Wceo9Ox+7tl9xfrB4W0jNxoVEtLmMnKFsbZwmNzIPchg5Vi5XG/EIJWrj0oj6p9F5cLG4+vH1e6x9WSfnMbUI3IdU5imCSdPnjx9LYcDBvbCIrN0iZmch3KnU2kiPfjcSIAhlQRIhfD09yjXKB6/aN0ZeL1HgaAie4F1wTYbvGYjV1P+DWApUeQmtmmuXoZi2oVCoVAobAk2jmn7XSIzLWB1R66sbTMdhd3DLDkKrmK7bdbjZfrVXhADYwZRABhj8KzPZSlBFACGx4YTl0SWpqa7NP0g77h5J+7bwjozq8/GzEsSVHIJ1qFFOrOzteO1eeA+Z/Vxu1ny4VkMMwIeJ0MkpVHW6tbWKLAIs3+W6ETMXqVtVMFE/LU2p8ZCmT1xvb48FY4zkz6whMLabuvN12NtWcfzgFmgH2PuGzPfLI2w8uZgKUN2r7Ij8f3iNcg688wCXJ1jlh69d1hCMWIBzu/gdcBJW7I5yMbYtzELz3quwkKPoph2oVAoFApbgo1j2pHuNNolq5SOkf+d3W/MynZV5udp7JY/gX64vWgXxizM2mQ7TrZcBFYtZNnHkRm+17vzTlbpeiJ/WdM/veMd79h3DTMfvxNlHbmxdJZuRGkKmcFl/sdslXxY/rhsvW3tjnSCbAnPHgfctsg3naUaHFPAjxOzIn4GbL78WPB6sjL4WYhC7qokEmzdH4XntPLM84B9biP9pc2psWY7xywpsnDm7/Y8W33Re8Ku7YU83d3dlRbhwKrtjF3L4xRJJHqpciOLbZ53ngeWAPq+crkGlpD58vk55DZFltkqLDRL1TwOEkuCofTsyvId6IcfjjxdDOWnXSgUCoVC4UDYOKbdWjvty8c7ekCzBuVz7WE7v9tuuw0AcMstt+z7NIbtWSzrljn5iMHvxtgamaMYGUPwVq/MoGwMTBrATNvvNll3ZEyOJQt+N2l9tGNWj+3gWefkpQ+WRMQYllmgP/jBDwawx7wjf0krlxlWZOHMel0/LwoZazYw82XL9Wj+rV2sV7Vr7TOy0GcLbRs3jq4F7M07S2vsmij9qpWrmD1HyPJrl/2mOY0tr39fj5V3xRVXANh7jphFeR2+6b+tfzZevP78OuD3QJQYgvvF9jCZ1bUlDOFn3D/TLMVgO5jIv5yfMWZ7bKfg33PKToX77OtjS2h+F0Z+21YurxUG9wFYlahYf/n9HY29vUO4H9xv/56L0nV6RNIOK1fZdUT+5zwvxbQLhUKhUCgcCBvHtE+dOnV6R2W7vkzfwEzBELGXm2++GQBw66237ivLWK6xSWMDvm5jk7ZzM2Zgu1ZjT75c9pPmnW/EDJh98XcVV9q3jaMnZUyVGRbvit/+9rcDiHebtlt+61vfCmCPab33e783gD0G5svl3StbIkcxtdeJSJRFKDOwJIJ1ov5eu8akCFdddRWAvfm3MWfpCrC3Jmy9WZ+tLJP4+HXAFuzM4OzTz7/SXfL5iA3yPcrvPKrPxtE+bUwMNlaWhhXYGx/r+zXXXANg71l529vettJGxTrVd4+R9J2W86DHaj3Ym4QlFB42pw984ANP1wfsPS+2xqJogOyLztIh/67ie1gfHTFUq5NZOEt6Ij0/64XZN5517B7MtK0fUfRGA9tM2PslirxmYA8DfhdHkhjFxjcFxbQLhUKhUNgS1I92oVAoFApbgo0Sj0/ThPvuu28lqLsXzXFwCzbuMPGUid8A4I477gAAvPOd7zxdD7AqajexiBfrslGHiQDZad8bcJioj9NaWn8iUZoKeq8CfXhRIIu2rD4bNzYuA1ZFWyowCxtl+GtNVGf9sHG+6aabVu6xtnEKRisrCifI6osRsPGXBweb4QAykeGj9dHUIyzWs3Vm/fAqCDbMYmMeToPp28ChOlnk6UWPymiMxcWRkSarXVgMmqVf5bXKbWcjSt9nLt9UCbaG7NP33e5lgyN+rjxGgqtYoiK73+qJQrfa/LLYOBOL2/vEQgXz+Bh82FQ2KrVn2sqy8fHPC7trqvGK1CNKLcLvyugdwt85mYmvz+bKxoLXjI2vqSr9umNVh42FrR1TrURqQF6jKriPb/f5TAmcoZh2oVAoFApbgo1k2obI/cB2QSrdHRuGAKsJNJhhcUq7iO3Zzs/KtWusjVEwiChgiK832hFmQU08InbGBjTWDg4M4qGCh/AOP0ojamNh1xoLNXYaBSlRSSyiHS8bUI3seG0+IsM6NpRRCQ48i2UjRg5+Yn3nBDLA3jzbeNj6M4YVzX/magXEyWasjQYOHsMugX4dMHuxMbYyI3bOxnLsssSGaV5aZGvEWJL105ijGST5sYncf6L+Rud79/o+sXGnXwdsAKjcqnwZ5vpofWa3wQc84AEAVtPy+v9tPRub5FDBkYuktcHuZcPXKNRuxjyBVWNAX7ddy+lc+Vn3fefUyvaesWfR1mWUltnWDhsq23hHaWQN/N7h1M6+P5Fh6iagmHahUCgUCluCjWLaDNttReb/zPZY1+R3irYzY52OsSPbbRm7iNxEmPnwDjEKm8ruRxx60Ot6bOengoIww/P3qgQofN7vQFXSe7vXxpN308BqkAubH9vpRokiWMfMbigcJtKXHwWUYZjbjpVnLMnrCQ08Lxxgwd/Dujb7buyJ2aYPrsIBRAwqYI5vk4H1j+zG569hBsz9iyQuLH1hvWiUCKWX9MWeN2ZNvhy71yQYxrDt0/fP1htLJtiuxY+zPcsseVHY3d1NpVvWB2ZfNh9RkA7W7fLxBz3oQfvaFqW95ARI/A6J7EaUiylL0fw9LB3k90MUcEYlwMnSeRo4AAtL53i8gdV5ZnfR6Hnj9cvjGbml8VxWwpBCoVAoFAoHwkYx7Z2dHVx00UWpczsHNWBmwFbQ/n8OAsD6Q2a7wOoui/XiUfKPXgCRSNdjUFaOKh1dVI71j4NORPWx/lP12++eOXgLh2WNGIvSC7FVtGdT6wTun6YJp06dOj2nUX08hiw9iaxduf3GHlUgjkgiwVa8zKw8C1TnVHIT334lnWHm47/zuLNOM0vnqNKSsvdCxCD5ky3qfV+UNIDXtemIo3M9nfY0TTLtL7DKSO2TpQ5eqsB95LWuxjq6VyUsit4DvJ6ZtUehdnkNKWtyD7a/YelW9CyylNH6w1I7a2t0r/KwiHTr/M7gOY4COI1ICs4nimkXCoVCobAl2Cim3VrDhRdemCY1V6kEe9+B1R07+zNGjFT5YWbW41ye7QhNX8dhTn09ihFw230blYU5j2Omd+ddLO9Q/Y6XWaDtVtkWIEuzym2L+q3SH2ZgXbkfG/YV5/Jtl+/bzWuCrU6VL7TvmwpfG6Vs5CQMzF457Cz3EdAMj33igVV9Kz9fkY0IrycVVtQQJY4xWFuUpbuvR/UzksixVXDGlqZpwsmTJ1ee5UhSxAyNYy74cWKbhahvUb98few3z1KgbL0pnXbkRdJj2FG4aJYosu0B66cBLSVhu4hoTCK7AY8owQeXy89xZCMyEvr2fKKYdqFQKBQKW4KNY9pHjhxZsYb1YB2YCurud07MvuxTWdlGjFTpzLOoOdYPs5S0T9O9RTpaFamMxyJqI9/LfuiRTyePDe/ko+haKk0pW3xGvuRcBu/6M93ZCPjaSPfLejVlqevbxztzTqwQtZ916DxOkRSH16YxRvZw8MyRpQo81kqq4vvFlvr2PbJwZ4ZtiCIYcnuU37kdV2zUX8PzFiWJYW+IXtIHe/cA8TtFSf/4M5IqMONU0Q+jdwi3n20ofCwLjojIEqqoX8o/m9d1dFwlAeLYDv4ettmI7EdUW7neHlv3x/g5VlIw37bM9uh8YrNaUygUCoVCQaJ+tAuFQqFQ2BJslHgcmEUfLMaM3D+isHr+nsxth406WBziweIwDjaQuTUYOGEHh0319yixOIuLIrER36NCh3J7/T0sVszElDxPLP6LxNoqmEsmDrPxisJ+9trmy+OEEBzIJjKCUeOtRJuR6wgbKym1jP9fhYaMAnEo9QgjU+Hwc8ViQ2+co9wB7TirjqL+8b2sdorUW/yd1Q+RaHokv7qJxlVAEX9sRMzO97Aolt87fH10jEPFsrul/5+DLbE6IXMTU6LgTGVgbVMh4Z3q5gAAIABJREFUiv1cKhVR9g5WUIZ3UVITngtWM2SBrnpzfq5RTLtQKBQKhS3BxjHtnZ2dlUQX2e6VDUAyps2GaMqgJQsKwgFZOJGAbyPvIs2YKHJNYEag2FPEzlSwBk5X6sHj1dtxRztwbjMHuonSeapEBFFAC+7POkEOIsMg5QLFc+zrUYaB3C+uw5fL7Y6MX7huNiriwDy+np5RZgZOicpjHaUPVQxEJabImLYy5IvuUVKZSCrEY58xuGmaTv+pNqj28nE/18yG+X2TGcnxnLIhZGQ0ycZ87OoVuaWNrpXoeVJSLfU+8teoBE9qjPyxnjQyM/BVborR81QJQwqFQqFQKJwRNo5pA3mQf05Zp3b90a6bmS/vSKPdndKDc8B+Xz/vHnl3F+3keVengp1EbYx2+b5eq2ed5PDq0/+vGB7rq6P2MyKXkqwNChwWMYK5TUUpRPl7L1BJz90KiINZAPHaZYZtYF22n2sV9lfNbSZ9YKYdSU04hDBjhKmwPUTmOsdjbW1i97d19KGMU6dOrUjNMhaq1nyWXlPp16MANoq18lz7sjLdtS8je5YV+8/04Vwur+so8JTSu/M6j8Yzc2FTUC57GYs+k/V0NlFMu1AoFAqFLcHGMW2fIi+yPuwFso/0hcyoVZCViMWoa3nH5nXovENj/QmXHbWBv3PbIxZrn5yqLkrcYCyFd8Vq95rpmnmnrUKhRsfWYfQjuiWeL99upRPndkc7bHVNZq2uJAQZU+DgLWo9eCi7B2YmEeNnGxCVsMEnlOFkGYfBdHm9ReOo2p7Nm0FJO+z+3d1dmdoW0OF2+fiZBOLw96pgSplnDa9JZvCZN4d63pW0Blh91/IYZMl7bH2ZnQ8/t9G7WCXAyeZfSTWygEMGJcE83yimXSgUCoXClmDjmLa34mTfREAH6B8J1ad2laxXyRgw38tWj75NvLuPUjEa2G+R9eLsCx3tDFnPb8h8MBVLyqymlX8kSxSifrJuiZllxAbOxHoz2iV731ZgVaKTWTtnzAPIfUQNLAGJxpbXZKaXVmx/RGqi2GpmR8BhcVWSkQg9/+lozFjXzElVonVm4HCsWbv4+YzWIjNdrifT36vv0Vj37onaoay4lZdEVJ6yS4mkXcrrIrMR4bXC7w5+FjP7EpY+Rh5DyiYlCyGrnoVNwWa1plAoFAqFgsTGMe0jR46s7MIif1+VnCJKYccJ5E3nqyKjRTs23unyLt/vxi677LJ91zJLtnsjNmHXcJIR3lV6dsEWlzwWhiiQPlvHK0S6ZrV7NfjvKp0jW8N6Zpyl7TwMMJtgX1jfLvaXVdKbiDUrFhN5HrCtAUt4RqI+sS8vtyNikMyAeH6ie0z/zXpxlZDHo8e0I2mHej5HpDMjEdGyZ4EZJz8/kQ2F8vfuSUaie7j9I/7FLMnJpAAq8hrXn0kfbO0aMpskXm9qLDKJEq+hdWygRqRBnERnU1BMu1AoFAqFLUH9aBcKhUKhsCXYKPF4aw1Hjx6VhhT+/yiRgb8nC53XM/vPjB9YJGz1m6iQ7we0YZhvo4nsTcR04sSJfd9ZjOTLtHutXmsLG+FEbi92jRn3sNohaiuL37lcFrVFfVdhTTMjsBExeS+IC7A3XiZGzoKAsKiZxeP8PVp3LGJm8bhfw5lrny/Tg0X1bOSnAoFkYFdAv765PjWOUUhhFdqV5ysT+6pALP64XTuSZMZfD8SuSixqZlVUFGo3SkDjy81E4CpkZ2YIqRKQZAFFlCGYCjecuc7ZuNmYZ6oOXhs940l/TIUtjdzEDOp9kD37m2aAZtjMVhUKhUKhUFjBRjFtQ2b8YmA2wQZakcsXu6goJhcFSlHp9LjNvj7eVXK93pjMdqfHjx/f9znKFIA9ds5uVNEO247ZDpvdoLLACMqwKtstM8vsuacAq2xjhGmPGK/ZPJgUg9lGFjqRWRKzab8OlNEdG4j59ZYFz1D9YsOZqC3+uizZCLtPRWxRSRu4bSOMR32P3IR6hm5Z+OEM5mbKcxvNCxtocfsz5tszLsuuVQFFIikGzwuHDo0MRO0aDqqTuUYxkx9xS2VJWJas6aCIyui5i0VtzQwpzyeKaRcKhUKhsCXYKKY9TRPuvffelVCKfuekws6pXZ+/n9leFpSB6+N6rEzboXqdH7MT282Z3jgKpsC71HUYtoF3jYrNZm1UiHTazBw56EYU+tLGi6+NGB3rdTP23Fpbe5fOrnesp/R1qvCoKowusNpnZtjRmCu2xIwxCgBk11poSBVEKAtJq9xoIv0eS7vYhTLSX/fS4ka6/F6gmchdUAULitBaw87OjkxIEbVTseYorauyD8kClyiWp9ILe9g6s4Q49hmtO07xyesgey8oiZG9V02S5d+z0TPm+6lcKv01/D0LZ6ukMfyuzNzSimkXCoVCoVA4EDaKaQN7bBuIGaIKTJBZN/Z2xZnugnenvDvOktFzfYyIvRzGro4lCBnLYKbFenBmN8CqVKOXQMSXx+dGgh2MJqTY2dkZKldJXkYsV1WwFWPT3jagF6I1Yh2sM+VgQnyvbwNLPJiBZkE8WOJhayha38p6XK0D/0xyECEVAjWaN7ZXyeaLGeLIc8XjFbEvZe2chbxUVu8Zi1UM2yRwEeM3aZ+ldbVPJXkBdKAflt5EFu/MsFnCxiGn/bUGpdv2UjqDsvfg+fJ1sERHMexIymEopl0oFAqFQuFA2DimDazuuv1OnXenKoXciD+r0oOP7Kwyq2HeffM1EZtgS2PbaapEBxHzYUtQLjtLGKIs9SN9YY+pZklblDW0YiPA6m45AzOgiM0oZhoxQ2bSxmaMvbCO3ts2MFtQ/svR2CorW26XbwP7Eit9tGc+bOmr/OczzwN+Fvi8v5dZmQoHHOnBbTytrcojwZejrL65b/fdd99Ke/2YK99wXrfROI0moIj0+LxWjGlzuFlgb+3xPLCEoqffj9oeWatzsiSVRjYKuWzlcQhm9uCIQgorHXYkIeHnR4WujuwhuI2bgmLahUKhUChsCTaKaZs+m3UixmqA1d2W2jVmu0llfaqiNflr1PdI52uwHTDriaN0nnYt72Ktv5FfNUftYr9MtnSP2s19z6JoqeQJ6jNqi6o/0i2to9Pm9kd6SWbU7EcdsVibF7PEZV2vnc+Ygdrde2kKJ7PhtRjp+pjtK7uLKIaBtc3qVdHsvDcDj7GK+BY9gzzGHK0vS6XZS9YSRd6K1iLDmDZLwqLoZup79D5S9jcjPtCcmpclEpEExuI0WD94TiOpg4ohoGJM+HWgYktYO44dO7ZyD9sEqMQkUf96Ecoii3rl46903f7/qM+bgGLahUKhUChsCTaOae/u7spY4RnUbja7xpAxONZDKetkv1Nj/1+25mVLbX/OdtJ8TaZzZDbM/pPsLwysMh1lyZpZnCqms461OsO3g5lxL2Z2b1fO7VaW836c2CqcGQkz7CxOPu/qmT35/5UkKbIAt7pNIqV0s+wb7/9nNsFMO/O15fFj9uTLUjEEDNFzq3SLGfNax8ffmDZLMfw9Nlds/xLNB4PXnWKTWTph9Q70Eonbb78dwGqKTO67X9+2fvmTbQui+BEWd8IYNUdxzN4tKl+BIYvApt4vkX6adeYsuYje36y/H7GlOZcopl0oFAqFwpagfrQLhUKhUNgSbJx4/J577pHGUcCqiJTF1lEwEF8+oA2DRu7hdkTieHZrsLax2DAKkMGiRh6LyG1EiY1MXMoi3ahNbPijEmREbVkncEXPMCgSU40EYGmt4ciRI9JIDtCBJHjMvZhUuYf1wrFGfVIqlShgRc+9JapHha3NVCuj6QcjESGL99mQi8fZH2PjQlZVrBN4xBAZ2PVcGj2yOnupUqNnUCW64WeaRbb+fw5GwmJlf97E1bfeeiuAVaNGg38P2DvCPpV43Nro3xNWn0puFIm4eY30jBcjF7p1xONKFZUF38kMBDcBxbQLhUKhUNgSbBTTBvaMQoDYQIOhjKBGAgj4On190U7tIMFHrFzbgXJiBdup+mO8o1dBLrL0c9y2KPCDSr7AoQnZRQNYZZVqZ5q54DAyKQf3R91/6tSplQAjUbv5kxm4H3PlEsOsPHIX450/r01row/Iwm6BnEgmMmI02DUq1GrEZth4kdkfBz3x16p+ctlR0gdm1FlgHiVp4XWWJX0YYdpZ+EqVzlfNaXQtl2v1RUw7S/mp6rN7jPnedttt+8qNglXxOvZrMWsrsGpwxmuF15Y/p6ROLGGK3qvKdS5LNqMSrEQSJCXd3BQU0y4UCoVCYUuwcUy7tSbT9QFxIne+339G53hnxvqOKLF8lIjEI3L5MnDoQetXxLTtWk4MkIWV5N0rlxUFKmBWpHaT2W6TGfyo7jmrNwvc39O/7u7uroyXnzdmmooJRXpwZq2s2470t+zGp3TOUTAXvzaAVZsDH3BIBTfhQBnsCgisurcwW4lsEJiV8zPJenhfHz/TIzp1lSgiW2eZ1Ce6dnd3d6W86Hk5yHtHtS1LWsFMmiUsbBvgy+EgNCp0KLDnHqYSBmWsU0lYMhsKdgtUQVxU2OOobVniJ7W+ud7IHqKYdqFQKBQKhTPCxjHtnZ29ZPScxg/QjDfTmSrdB+ttI0aqmD3v2KIAGdZuK/+OO+7YV6bvF1/LTIeDrHgw01aBMiLdktLnK/2hv0btSEekHQojOqYI0zSd1msDq8kzRhCVz1b2/Mks19fH7FglWImYr6VV5PZH3gMqDCuPNbMbYJUlWbnG+COmrQJhZKF9+V5+1jKr4Z6Xwog9RM8C2DPtzF5EtSWz42Dw8cyqn59dnmsv1WNJGz/LFl40Ggu7lgOzcNnZM63sPrxUKAtG5MvK5ksFzslsn9S8ZeGw1/GOOZcopl0oFAqFwpZg45j27u7uCsP2O1C2blS6F1U2oJniyO6OmQ7rj/3/HIpQlenLVWBpQKR3VczXdr6+PsV4lCVmtjvntke78h4Li8pindnIjjfTpyrfTGZJUYhY5WfOffXtZy8IZk+9VI1RfZGkSek/+V5jzyMWuZlfvYoLwPdmrExJxrL11rPczpClVzQJDdtDRLEJ+HvGxnqMWsUJ8MeYtTLT9utNpZi1T7Mm9/YSvEYVovU3Kg3Ikhsp3XWmn1Y2TxFrVu+MkdDVymPgfKOYdqFQKBQKW4KNY9reT5sjLQF6h5TpQtTuXVk9++tY18w73MjCfSRg/rrgMiJfcsWSo2T0SleqGNeIdeW61t4eGZNX0aEiKAttVQcwJnFRrJzZcsRimVVk0dMUe7XjHCnPl6us0lnnGElp2MKdJRXRPcwYVdTArH89X2b/v3pe1frz6K0dbw8Rsb+eRG+EaRvYyjuyOeE0u3xNNLa8zni92af5cQN77yp+53KClChaILNmblsUu0ClV+VnMJJO8rtW6bYjpr2OXjqT1m0CimkXCoVCobAlqB/tQqFQKBS2BBslHp+mCSdPnlwJAuDFKybOidxXrAz/6f+PRNnRvV7MZkYbdo/Vz+Jjf48SrxyGmDyDMnzKDGt6ItvInacX4CZC5tLjv0c5jNdRMyjDMUCL5rI2cLnriGbZIEcZCEaJIuwcG1BFaiAWV3M/uY1+jqMAL778yAApEplHbY1UKyzi7q0L327+zq4+UVCk0TUaBXXy9fJYKjVS9N7phWGNnjEO4pOJxbk8u9bcBll87V2wzMWrF9QpWgfKOE59Zu3nMKms2vPHlPFs9u438FxEc8P3rKPmOxfYrNYUCoVCoVCQ2Cimvbu7i7vvvnslXaQ3frBjbOSjXAY8Rt02PGNQrl5ZYgqDsXQr175HjOcwWDi3gQ01/I5X7VrZoIqNmPw1yqUlS7+pAnFECQk4EUHmtmPIwrOyYZZKXhAluOgZIkWJVXqIDLjYYIoNguxab6hjx9hIjdlfJBUyqJS3EVQiGmZlmeRCPXuZ5KLHtDwyV7zo2tbakKRFjanhIM9xxCo5QIqSbkQSPjZa5LXj59oM3ZhxR+8MX7Y/13Nl8+DnxOpRqTOjZ149kyOBWXpGjcCZGdSeC2xWawqFQqFQKEhsJNO2XVbknG87MsXqMncdFQSE2bRnOxwW0/RBrNf1beRdOO8uI1291WMMah19cc8FJ2J/Ksxn5LrEUDvpTJ/MUEw1cs2x8VIhFq3unZ2doV02M4QRVqbsIrJ7lM6V14cPdsHrTbEHH8yHbRmYlXH/olCb3KasfmbWzHxZh+/nlMNvKqad6TKZmWYhKEeZr2faUTKTbAy5HG535j7p6/PrgPvM4YwjuxKWJKkwtpErG8+7CjQTrR2l5x8JmMSMWr0X/Dl+v/B7KArtymUYIskOs/By+SoUCoVCoXAgbBTTnqYJ99xzz4oFbcR8VQhNX1b0f4SRYPiKaRv8rtzaZOybd60+iIKB2RIzzsyikS07VbCN6H47xyww081y+Uq3lYW+5OQGrNPyx0z6kDFtK5OlJx5qB63CfkZQLI91kP5/Y8XW/oz9sTSAEyuwN4MHPzfKw8LDyuXgKszavF0Jjw+zPqV/9e3mccyeZ2aszD4z6RrrhEcQjW3P0yB6h6j3DjNSW9++77ZW1HPDaxdYTRfLiOxGDOxFoHTP0XtVzU+kq1fJlPjZjOwvVN+VbY1HL8lRZi9TYUwLhUKhUCgcCBvFtE2nbbs92/1E+jtmiKxH81A73hEdme1amWEzA/J1WJvsGt65R7olZqkcxo+tKiPfR5UuckRXG+2KfbsiXZb6zMJAcluUjgtYDQfLKUcz2Hh51sH6euW3HfVVgfvhJSSWCtHCRtp3Y1FZ8hdmuFGCCAbPO+s/I3sFluwwW478uFWCCCXxifqnwldGdhjKojyzNOdj69iIRKxyNLbDiE6bjzP7BFbnw5B5aCir8cxmQ+l8mWlH/e+lyIykhhwmlcdGheD1/6vUsxmUNEDp0tct/1yimHahUCgUCluCjWPax44dW2G3xlD8MaW/XUf30vv05atdcsQqOQIa69Mi/V0vaYWy8o7aqBIRRL6IvCtmRBaavIPnejPbAK4/SxRg+lv7XIdpZ762Bh7jSC+p9GaqDA9O22qfxrwjTwGeS8WaovngeeA4AXY8Yk1Kpxf56XMyC0uXy3r4iKX3osQZIparntPsecokEx7+eYrKU8+liuPgjykra34G/RxwIg/V5yyRi/KfztYbM+tMEtezAO+9W6I287VRfAhlc5JJXFQsDvZGAlbfa5uGzWxVoVAoFAqFFWwU056mOT2eMevIGtL0gXaMWW3mV6pYsiHz+1S+1gaOHOTLZ6YdsRqOr827VGZYvu0qjZ+NX8TOlHUtW61HfejpsjNdUI9hezZtx4wxRun6uGyeU98fHg9mPBHrY6tWxdajvkfxmv09kS6TmS17IkRsWUUgY71xZKXMFvqMSJJg680YNrfR4C3ODYpRMfvPvD8Uw46YdmZhbjAff362o1S2qk4lMYjawCyWr+P/fbk8X5GEL7MwZ/RigSt9te/HYUZzVHEDfFt7kotoHahYHJEEhcsrP+1CoVAoFAoHQv1oFwqFQqGwJdgo8TjDROGRcZKJUdk9jJMmeKjAISySicLuReE1o7KB1VCABmsbBxZQdUdtjNLdcdo+Jc6JxFgsSlNJGCLxkTJwiURb7GLBolt27/LXRoY6jGmaTqtXfNt8ef9/e+eu5LiOBFHoumOvvf//WWuvP8ZER2iNG3Wn9nRmAVJ3T4sReRy9SAIiQQlZL/z48UP2t1DmPp4zZwpUKVllPmZAGlOlej9YZKd/P9XeWr44DB+ngiyTa6gfY/fe1Oe13pswXQCmut+m+5SvXcliRy9jqlKjXL9OzOJTAZa+Xb9vGXDLe4FFUBQufWpKaeT1mFK+PgKLVrngWZVq6FJYp2A5jnMVyEdc8OF3E6UdQgghXISXVtqlTHoh/VKrpcIZXDSlfxS74iAdBjK4xRDUAgdFzeZKedUMuCtHKkPXZ6rq/vyZYgC7RVT4HTpK9bt+uEBBFtCZCjHsAtFUe+o9t6SkWmSCipAlO11J17V+j8267hVgWa+5oMxav8+Ds2aodBQXWMfgSaUGOZ6otJQKZIBova5HqiQ1dmg9mdK3nBrk64+owfv9/q6Ua2/XBS45i8Fa+zKbJ+U33UIe09KVu+JBHReUyzGkSkrTKuSCvNT3qbHDseIKRPV9nXVDWcpYJtmVTZ1+O1+tyEqUdgghhHARXlppF724Ss3QmA40ldAknOmelAZ0hUtU+ULOQDmrU2kv9Zy+qp2fsu/rUn3UzJ5+0GqPKXRTeT+3QIjyBbnZNwuPqFKOyprxDFTaXLjlpICEU30qnoDqu9pzqWeqT0WNe9X30yIQLtZiLV/KV6UY0urD78XiKso37HzbatydFEFiO85ioLjf7+vt7e2fsaeuy66E6jTmd8paWWm4Te/rWjrWxqX80aKkYl5cvADHf2+PVkH+hvDYvU+u5K5S2IR9nKyeLkWPv9uTVSBKO4QQQghPcVmlXZHApdA4i5yKM7gZlCq7WFBVUJEq5btbPrTPWpVi733n7FKpZkLFoPxDbN/5blV7bnlSFvNY6/d5o9+QCntS2s+grosrr6i+K/3qPNak4Hgta1yx7Gc/hhurVCBdabulMdlXhVOK0+IMzoLglkxUi2iwT5M1hfeTGw9K0avPyP1+X79+/Xq3jSpG5O7HqZ1T/+lUktTFK/R9nLJ3WTPqvdP4n963QkV8cx+OHVqOplLIuzK2any46HH3fftx3evvJko7hBBCuAiXUNp9plNR4+XLrnzGUkTKJ+jyJF0EsFKkXH6QnytcSU2Xi9v3cSpWzUDdZ9Nr58uhv1LN0l1U8GQNYJRrbTv5tPneMz7t3i79tXVc5vb3c++idp1ymxSds9L0cp/u+FS1nd2YnNTSTlkpnzbVP6PIJ2Xi8pwnBUTLiFNCzyqiihx3sSD9+XR92QeX9+3iBiZrlsoacG27eJRdLQi1zXRun/ndcfFEtCTxHlF9otVBKW3Wh+A1Ud+P13qqD/EdRGmHEEIIF+ESSrtDZUb1Wo/dr+JmnG5G2GezzscyzVp3Vc2UYpgWPFHHVEsJcobI9/sMVPnt1/L+8Skv2C2IMbXHBUKU75if7VTODuZ5Vz/pTzuJHq9+lqVHKYOCEbIufqC/x8hct4Qin3e4rVLaTpW7bIne33rkQiFkiup2lgVVldBZWmp8PJtdUNX0pj4wJoPjQS1WQZzPfFKzvB4u5kQdx+WWqxgD9z0mH77z1U81BXbZMJMlwY2dKaLeqXP+zk3V+z4SU/MVRGmHEEIIFyF/2iGEEMJFuJx5nObDMldNKVgFzScnJppdkfopRcW1qwIcptJ/ih6QRPMhTZpqMQuHO4+9PWeOnRZ74L5cRIOm8LXeB6B9NPWi2mAAYn03VcKVbdcjg9im9KZqh+ZxFfjG9k6u2a74A03d6jy6gCdV7MIFDbFsatGv6a4ghgpMO03V+8j4KBP5WtoFwcBMZzae+uBSlQrlmtqVKFauFf6OTUFlu8CzR87tM8WqXPqocje4AimPFJxx7sf+2rXzKkRphxBCCBfhckq7YCATZ8J9FuuCGzjrU0slurQmBqRMASFU1nzsx9ktkTgFedV7FRjEfqhUtl0gkktB69/LKYcOA6vqu7OoSqX0qX0+izouF2lRs34WeOFM3S180bfluaM1Q7VHi8TETmkzXayfT6pmBhfRStDf26X8qAAxKh63YMi0AM8uaOoZ7vf70QIevHaTFciVFebn6vWuINTJAhcMQFXnyf1W8TpN96CzzqjxsSsh7frRn7vlctW1mAJ4O327k6I030mUdgghhHARLqu06Qut1BvlC3SLB1AJqeIQblbnfHG9PVd+keqM+6vXRKkXplVNs0xXvKNwxR3U8U8WCqj+lqp1i9L3tKxHluJ8hmqzxlBd/35dXPlVLo1YxX5UegvHGVVt/55UvkyJmnyMU2pPp8cnsD2nNicrDS0Gk+WF6u+RUpQFldBnFL+43W5Hiopqsq5LjSG1bcHvys/VPb1bZlONNy7969JVezuM8+EYUhZAjkHXx0cKQrnfzv7c+bBdzIM6Pn/vejtT4ZVXIEo7hBBCuAiXVdpUOFQ+veCDW+yB/iHl06bfs5jUBFUDZ4TK//kRqDio7JSfcFoQpKN82dyHflhVxpQzes6KpwVDTpeefBZGqaviDFy2kVkLqmhDjcF6PFlQoc4tlZyz+PR9XKRsoUrxVju0MnEMqTgP5++cIt9pXaCSU/s6v/FnRffebrf1119/2fiOzs4nq2IQnKKezqPLWnDtr/V+LLqsAWWFPCn0wvedVWZX1rS/56LXJ6XN3/pdaWHV/9pWxXmcLCrynURphxBCCBfhskq7YBTyNOtyvjHOWvvMsGbOVOGPFO6nyvxqH4lTOsqX5XxY3E4dxymFqbRrXSc3o558mV+luKsPFbnez0H1l4qKSltF9bqYCe6j1Ett6xbYUPEQbly56N7+fGd5OVFYvP7qevH67zIt1vJ+fVpini1jutbf338qM0xFSv9x/T5McRjOmqDao1WO8RDKp+18zI9EZPMc8l5XUdY7lCXpVGGriHq3QMgjv6uPxIbEpx1CCCGEp7i80uaMtGa6PULWRbtyFqlUBiuicUGSqYIT+VMztkfyVjnDpR+cPla1D1HR5PQ/UbFO+ch/yqdEVd2f73JRle+fn5Vvm/60fm6pzqkmue9aPmqc41sp7V3+r7ouLtPBKex+b7hFLKgCp8wKZzH7CLfbzeYod04XWFlrv9AN7wUVc0L/LceSqjbm+jrF35xaA5XFxY2Hk0yencJWmTy7xZUe4STSPHnaIYQQQniK/GmHEEIIF+Hy5nGaj5RJypURPClXN5m/1Ha9Ty714avN5DSLPWJeduY4lfLD165gSv+MfZqC5fjenzKTVxrhWu/XDHfmZC4c0p+zFCjPn3Ll1HsMPFLnYjfOTtY3LlzamAoIcuP8JPDJbaMCuWg+/kjAmeO9ClcIAAACJUlEQVTt7W0sIVz9devNK/cCTdzOBaGKrbjzxPtSpXypz9bSCwe5lEUXVDj9djnTt7qmLljXPfK5aucRpvTIk1Kx30mUdgghhHARLq+0OUNXMzQ3I3PpDeq9mnUxAEQdu2arDFY7LWDwWZykLlBJUWlPRSOoQtmuKozAbVyhm+n7fBVKwVUaGAuT1LX8+fPn/+3bi/ow2K62nUpRMh2M7TqrUf9sp7wnpU1LFQPi+nOXwsS0tKkQzJTqVbjSlo8EXE7c738vy3kS4MSxPbXNMc1t3b231vtzzGvL4jSqvV3QnPrMHWuyPuxKkU7BZO5auqJCU/vPpHxN99Gr8tq9CyGEEMI/XF5pF0xZmJbmdLOskxm2W7xd+YmorNneZyx0oDjx/fB8udmyW3RgrfclANnu5I9y73fV/hW+y0epPpSfm77mQqkKpm/VMdQSoNzHpZKxmIfa1yk85Zd1aUKugAW/Y9+Gi76occ8CGcWkzlwBkM8qY1rHmJS2us97XwqlfB1UiqqUpivlq6wmO0WvXu/U6SMWMKeSlQXBbTMVx5piJT6KOg+0Nr0KUdohhBDCRbi9Uom22+3237XWf767H+Hl+ff9fv9XfyNjJxySsROe5d3Y+Q5e6k87hBBCCJ6Yx0MIIYSLkD/tEEII4SLkTzuEEEK4CPnTDiGEEC5C/rRDCCGEi5A/7RBCCOEi5E87hBBCuAj50w4hhBAuQv60QwghhIvwPzc5c41f2itHAAAAAElFTkSuQmCC\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] @@ -1642,13 +1347,14 @@ "\n", " ('Non-negative components - NMF (Gensim)',\n", " NmfWrapper(\n", - " chunksize=1,\n", + " bow_matrix=faces.T,\n", + " chunksize=2,\n", " eval_every=400,\n", " passes=1,\n", - " sparse_coef=0,\n", " id2word={idx: idx for idx in range(faces.shape[1])},\n", " num_topics=n_components,\n", - " minimum_probability=0\n", + " minimum_probability=0,\n", + " random_state=42,\n", " ),\n", " False),\n", "\n", @@ -1715,6 +1421,22 @@ "\n", "plt.show()" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you can see, Gensim NMF implementation works as fast as Sklearn NMF and achieves comparable quality, even though it's not optimised for dense matrices." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Conclusion\n", + "\n", + "Gensim NMF is an extremely fast and memory-optimized model, and should be used whenever your system resources are too scarse for the task or when you want to try something different from LDA." + ] } ], "metadata": { @@ -1722,8 +1444,8 @@ "text_representation": { "extension": ".py", "format_name": "percent", - "format_version": "1.2", - "jupytext_version": "0.8.6" + "format_version": "1.1", + "jupytext_version": "0.8.3" } }, "kernelspec": { @@ -1741,7 +1463,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.2" + "version": "3.6.8" } }, "nbformat": 4, diff --git a/gensim/models/nmf.py b/gensim/models/nmf.py index 0a33660d00..d7993db5e7 100644 --- a/gensim/models/nmf.py +++ b/gensim/models/nmf.py @@ -1,10 +1,102 @@ -"""Online Non-Negative Matrix Factorization.""" +"""`Online Non-Negative Matrix Factorization. ` +Implements online non-negative matrix factorization algorithm, which allows for fast latent topic inference. +This NMF implementation updates in a streaming fashion and works best with sparse corpora. + +- W is a word-topic matrix +- h is a topic-document matrix +- v is an input word-document matrix +- A, B - matrices that accumulate information from every consecutive chunk. A = h.dot(ht), B = v.dot(ht). + +The idea of the algorithm is as follows: + +.. code-block:: text + + Initialize W, A and B matrices + + Input corpus + Split corpus to batches + + for v in batches: + infer h: + do coordinate gradient descent step to find h that minimizes (v - Wh) l2 norm + + bound h so that it is non-negative + + update A and B: + A = h.dot(ht) + B = v.dot(ht) + + update W: + do gradient descent step to find W that minimizes 0.5*trace(WtWA) - trace(WtB) l2 norm + +Examples +-------- + +Train an NMF model using a Gensim corpus + +.. sourcecode:: pycon + + >>> from gensim.test.utils import common_texts + >>> from gensim.corpora.dictionary import Dictionary + >>> + >>> # Create a corpus from a list of texts + >>> common_dictionary = Dictionary(common_texts) + >>> common_corpus = [common_dictionary.doc2bow(text) for text in common_texts] + >>> + >>> # Train the model on the corpus. + >>> nmf = Nmf(common_corpus, num_topics=10) + +Save a model to disk, or reload a pre-trained model + +.. sourcecode:: pycon + + >>> from gensim.test.utils import datapath + >>> + >>> # Save model to disk. + >>> temp_file = datapath("model") + >>> nmf.save(temp_file) + >>> + >>> # Load a potentially pretrained model from disk. + >>> nmf = Nmf.load(temp_file) + +Infer vectors for new documents + +.. sourcecode:: pycon + + >>> # Create a new corpus, made of previously unseen documents. + >>> other_texts = [ + ... ['computer', 'time', 'graph'], + ... ['survey', 'response', 'eps'], + ... ['human', 'system', 'computer'] + ... ] + >>> other_corpus = [common_dictionary.doc2bow(text) for text in other_texts] + >>> + >>> unseen_doc = other_corpus[0] + >>> vector = Nmf[unseen_doc] # get topic probability distribution for a document + +Update the model by incrementally training on the new corpus + +.. sourcecode:: pycon + + >>> nmf.update(other_corpus) + >>> vector = nmf[unseen_doc] + +A lot of parameters can be tuned to optimize training for your specific case + +.. sourcecode:: pycon + + >>> nmf = Nmf(common_corpus, num_topics=50, kappa=0.1, eval_every=5) # decrease training step size + +The NMF should be used whenever one needs extremely fast and memory optimized topic model. + +""" import itertools import logging import numpy as np import scipy.sparse +from gensim.models.nmf_pgd import solve_h from scipy.stats import halfnorm from gensim import interfaces @@ -12,10 +104,11 @@ from gensim import utils from gensim.interfaces import TransformedCorpus from gensim.models import basemodel, CoherenceModel -from gensim.models.nmf_pgd import solve_h, solve_r logger = logging.getLogger(__name__) +OLD_SCIPY = int(scipy.__version__.split('.')[1]) <= 18 + class Nmf(interfaces.TransformationABC, basemodel.BaseTopicModel): """Online Non-Negative Matrix Factorization. @@ -31,79 +124,74 @@ def __init__( id2word=None, chunksize=2000, passes=1, - lambda_=1.0, kappa=1.0, minimum_probability=0.01, - use_r=False, w_max_iter=200, w_stop_condition=1e-4, - h_r_max_iter=50, - h_r_stop_condition=1e-3, + h_max_iter=50, + h_stop_condition=1e-3, eval_every=10, - v_max=None, normalize=True, - sparse_coef=3, random_state=None, ): - """ + r""" Parameters ---------- corpus : iterable of list of (int, float), optional - Training corpus. If not given, model is left untrained. + Training corpus. + Can be either iterable of documents, which are lists of `(word_id, word_count)`, + or a sparse csc matrix of BOWs for each document. + If not specified, the model is left uninitialized (presumably, to be trained later with `self.train()`). num_topics : int, optional Number of topics to extract. - id2word: gensim.corpora.Dictionary, optional - Mapping from token id to token. If not set words get replaced with word ids. + id2word: {dict of (int, str), :class:`gensim.corpora.dictionary.Dictionary`} + Mapping from word IDs to words. It is used to determine the vocabulary size, as well as for + debugging and topic printing. chunksize: int, optional Number of documents to be used in each training chunk. - passes: int, optioanl + passes: int, optional Number of full passes over the training corpus. - lambda_ : float, optional - Residuals regularizer coefficient. Increasing it helps prevent ovefitting. Has no effect if `use_r` is set - to False. + Leave at default `passes=1` if your input is a non-repeatable generator. kappa : float, optional - Optimizer step coefficient. Increaing it makes model train faster, but adds a risk that it won't converge. + Gradient descent step size. + Larger value makes the model train faster, but could lead to non-convergence if set too large. + minimum_probability: + If `normalize` is True, topics with smaller probabilities are filtered out. + If `normalize` is False, topics with smaller factors are filtered out. + If set to None, a value of 1e-8 is used to prevent 0s. w_max_iter: int, optional - Maximum number of iterations to train W matrix per each batch. + Maximum number of iterations to train W per each batch. w_stop_condition: float, optional - If error difference gets less than that, training of matrix ``W`` stops for current batch. - h_r_max_iter: int, optional - Maximum number of iterations to train h and r matrices per each batch. - h_r_stop_condition: float - If error difference gets less than that, training of matrices ``h`` and ``r`` stops for current batch. + If error difference gets less than that, training of ``W`` stops for the current batch. + h_max_iter: int, optional + Maximum number of iterations to train h per each batch. + h_stop_condition: float + If error difference gets less than that, training of ``h`` stops for the current batch. eval_every: int, optional - Number of batches after which model will be evaluated. - v_max: int, optional - Maximum number of word occurrences in the corpora. Inferred if not set. Rarely needs to be set explicitly. - normalize: bool, optional - Whether to normalize results. Offers "kind-of-probabilistic" result. - sparse_coef: float, optional - The more it is, the more sparse are matrices. Significantly increases performance. + Number of batches after which l2 norm of (v - Wh) is computed. Decreases performance if set too low. + normalize: bool or None, optional + Whether to normalize the result. Allows for estimation of perplexity, coherence, e.t.c. random_state: {np.random.RandomState, int}, optional - Seed for random generator. Useful for reproducibility. + Seed for random generator. Needed for reproducibility. """ - self._w_error = None - self.num_tokens = None self.num_topics = num_topics self.id2word = id2word self.chunksize = chunksize self.passes = passes - self._lambda_ = lambda_ self._kappa = kappa self.minimum_probability = minimum_probability - self.use_r = use_r self._w_max_iter = w_max_iter self._w_stop_condition = w_stop_condition - self._h_r_max_iter = h_r_max_iter - self._h_r_stop_condition = h_r_stop_condition - self.v_max = v_max + self._h_max_iter = h_max_iter + self.h_stop_condition = h_stop_condition self.eval_every = eval_every self.normalize = normalize - self.sparse_coef = sparse_coef self.random_state = utils.get_random_state(random_state) + self.v_max = None + if self.id2word is None: self.id2word = utils.dict_from_corpus(corpus) @@ -114,9 +202,9 @@ def __init__( self._W = None self.w_std = None + self._w_error = np.inf self._h = None - self._r = None if corpus is not None: self.update(corpus) @@ -126,8 +214,8 @@ def get_topics(self, normalize=None): Parameters ---------- - normalize : bool, optional - Whether to normalize an output vector. + normalize: bool or None, optional + Whether to normalize the result. Allows for estimation of perplexity, coherence, e.t.c. Returns ------- @@ -135,7 +223,7 @@ def get_topics(self, normalize=None): The probability for each word in each topic, shape (`num_topics`, `vocabulary_size`). """ - dense_topics = self._W.T.toarray() + dense_topics = self._W.T if normalize is None: normalize = self.normalize if normalize: @@ -146,9 +234,8 @@ def get_topics(self, normalize=None): def __getitem__(self, bow, eps=None): return self.get_document_topics(bow, eps) - def show_topics(self, num_topics=10, num_words=10, log=False, - formatted=True, normalize=None): - """Get a representation for selected topics. + def show_topics(self, num_topics=10, num_words=10, log=False, formatted=True, normalize=None): + """Get the topics sorted by sparsity. Parameters ---------- @@ -160,12 +247,12 @@ def show_topics(self, num_topics=10, num_words=10, log=False, Number of words to be presented for each topic. These will be the most relevant words (assigned the highest probability for each topic). log : bool, optional - Whether the output is also logged, besides being returned. + Whether the result is also logged, besides being returned. formatted : bool, optional Whether the topic representations should be formatted as strings. If False, they are returned as 2 tuples of (word, probability). - normalize : bool, optional - Whether to normalize an output vector. + normalize: bool or None, optional + Whether to normalize the result. Allows for estimation of perplexity, coherence, e.t.c. Returns ------- @@ -177,7 +264,7 @@ def show_topics(self, num_topics=10, num_words=10, log=False, if normalize is None: normalize = self.normalize - sparsity = self._W.getnnz(axis=0) + sparsity = (self._W == 0).mean(axis=0) if num_topics < 0 or num_topics >= self.num_topics: num_topics = self.num_topics @@ -217,8 +304,8 @@ def show_topic(self, topicid, topn=10, normalize=None): The ID of the topic to be returned topn : int, optional Number of the most significant words that are associated with the topic. - normalize : bool, optional - Whether to normalize an output vector. + normalize: bool or None, optional + Whether to normalize the result. Allows for estimation of perplexity, coherence, e.t.c. Returns ------- @@ -245,8 +332,8 @@ def get_topic_terms(self, topicid, topn=10, normalize=None): The ID of the topic to be returned topn : int, optional Number of the most significant words that are associated with the topic. - normalize : bool, optional - Whether to normalize an output vector. + normalize: bool or None, optional + Whether to normalize the result. Allows for estimation of perplexity, coherence, e.t.c. Returns ------- @@ -254,7 +341,7 @@ def get_topic_terms(self, topicid, topn=10, normalize=None): Word ID - probability pairs for the most relevant words generated by the topic. """ - topic = self._W.getcol(topicid).toarray()[0] + topic = self._W[:, topicid] if normalize is None: normalize = self.normalize @@ -266,17 +353,20 @@ def get_topic_terms(self, topicid, topn=10, normalize=None): def top_topics(self, corpus=None, texts=None, dictionary=None, window_size=None, coherence='u_mass', topn=20, processes=-1): - """Get the topics with the highest coherence score the coherence for each topic. + """Get the topics sorted by coherence. Parameters ---------- corpus : iterable of list of (int, float), optional - Corpus in BoW format. + Training corpus. + Can be either iterable of documents, which are lists of `(word_id, word_count)`, + or a sparse csc matrix of BOWs for each document. + If not specified, the model is left uninitialized (presumably, to be trained later with `self.train()`). texts : list of list of str, optional Tokenized texts, needed for coherence models that use sliding window based (i.e. coherence=`c_something`) probability estimator . - dictionary : :class:`~gensim.corpora.dictionary.Dictionary`, optional - Gensim dictionary mapping of id word to create corpus. + dictionary : {dict of (int, str), :class:`gensim.corpora.dictionary.Dictionary`}, optional + Dictionary mapping of id word to create corpus. If `model.id2word` is present, this is not needed. If both are provided, passed `dictionary` will be used. window_size : int, optional Is the size of the window to be used for coherence measures using boolean sliding window as their @@ -323,8 +413,11 @@ def log_perplexity(self, corpus): Parameters ---------- - corpus : list of list of (int, float) - The corpus on which the perplexity is computed. + corpus : iterable of list of (int, float), optional + Training corpus. + Can be either iterable of documents, which are lists of `(word_id, word_count)`, + or a sparse csc matrix of BOWs for each document. + If not specified, the model is left uninitialized (presumably, to be trained later with `self.train()`). Returns ------- @@ -346,8 +439,7 @@ def log_perplexity(self, corpus): return (np.log(pred_factors, where=pred_factors > 0) * dense_corpus).sum() / dense_corpus.sum() - def get_term_topics(self, word_id, minimum_probability=None, - normalize=None): + def get_term_topics(self, word_id, minimum_probability=None, normalize=None): """Get the most relevant topics to the given word. Parameters @@ -355,9 +447,11 @@ def get_term_topics(self, word_id, minimum_probability=None, word_id : int The word for which the topic distribution will be computed. minimum_probability : float, optional - Topics with an assigned probability below this threshold will be discarded. - normalize : bool, optional - Whether to normalize an output vector. + If `normalize` is True, topics with smaller probabilities are filtered out. + If `normalize` is False, topics with smaller factors are filtered out. + If set to None, a value of 1e-8 is used to prevent 0s. + normalize: bool or None, optional + Whether to normalize the result. Allows for estimation of perplexity, coherence, e.t.c. Returns ------- @@ -376,7 +470,7 @@ def get_term_topics(self, word_id, minimum_probability=None, values = [] - word_topics = self._W.getrow(word_id) + word_topics = self._W[word_id] if normalize is None: normalize = self.normalize @@ -384,7 +478,7 @@ def get_term_topics(self, word_id, minimum_probability=None, word_topics /= word_topics.sum() for topic_id in range(0, self.num_topics): - word_coef = word_topics[0, topic_id] + word_coef = word_topics[topic_id] if word_coef >= minimum_probability: values.append((topic_id, word_coef)) @@ -400,9 +494,11 @@ def get_document_topics(self, bow, minimum_probability=None, bow : list of (int, float) The document in BOW format. minimum_probability : float - Topics with an assigned probability lower than this threshold will be discarded. - normalize : bool, optional - Whether to normalize an output vector. + If `normalize` is True, topics with smaller probabilities are filtered out. + If `normalize` is False, topics with smaller factors are filtered out. + If set to None, a value of 1e-8 is used to prevent 0s. + normalize: bool or None, optional + Whether to normalize the result. Allows for estimation of perplexity, coherence, e.t.c. Returns ------- @@ -422,18 +518,18 @@ def get_document_topics(self, bow, minimum_probability=None, kwargs = dict(minimum_probability=minimum_probability) return self._apply(corpus, **kwargs) - v = matutils.corpus2csc([bow], len(self.id2word)).tocsr() - h, _ = self._solveproj(v, self._W, v_max=np.inf) + v = matutils.corpus2csc([bow], self.num_tokens) + h = self._solveproj(v, self._W, v_max=np.inf) if normalize is None: normalize = self.normalize if normalize: - h.data /= h.sum() + h /= h.sum() return [ - (idx, proba.toarray()[0, 0]) + (idx, proba) for idx, proba in enumerate(h[:, 0]) - if not minimum_probability or proba.toarray()[0, 0] > minimum_probability + if not minimum_probability or proba > minimum_probability ] def _setup(self, corpus): @@ -441,14 +537,21 @@ def _setup(self, corpus): Parameters ---------- - corpus : iterable of list(int, float) + corpus : iterable of list of (int, float), optional Training corpus. + Can be either iterable of documents, which are lists of `(word_id, word_count)`, + or a sparse csc matrix of BOWs for each document. + If not specified, the model is left uninitialized (presumably, to be trained later with `self.train()`). """ - self._h, self._r = None, None - first_doc_it = itertools.tee(corpus, 1) - first_doc = next(first_doc_it[0]) - first_doc = matutils.corpus2csc([first_doc], len(self.id2word)) + self._h = None + + if isinstance(corpus, scipy.sparse.csc.csc_matrix): + first_doc = corpus.getcol(0) + else: + first_doc_it = itertools.tee(corpus, 1) + first_doc = next(first_doc_it[0]) + first_doc = matutils.corpus2csc([first_doc], len(self.id2word)) self.w_std = np.sqrt(first_doc.mean() / (self.num_tokens * self.num_topics)) self._W = np.abs( @@ -458,90 +561,88 @@ def _setup(self, corpus): ) ) - is_great_enough = self._W > self.w_std * self.sparse_coef + self.A = np.zeros((self.num_topics, self.num_topics)) + self.B = np.zeros((self.num_tokens, self.num_topics)) - self._W *= is_great_enough | ~is_great_enough.all(axis=0) - - self._W = scipy.sparse.csc_matrix(self._W) - - self.A = scipy.sparse.csr_matrix((self.num_topics, self.num_topics)) - self.B = scipy.sparse.csc_matrix((self.num_tokens, self.num_topics)) - - def update(self, corpus, chunks_as_numpy=False): + def update(self, corpus): """Train the model with new documents. Parameters ---------- - corpus : iterable of list(int, float) + corpus : iterable of list of (int, float), optional Training corpus. - chunks_as_numpy : bool, optional - Whether each chunk passed to the inference step should be a numpy.ndarray or not. Numpy can in some settings - turn the term IDs into floats, these will be converted back into integers in inference, which incurs a - performance hit. For distributed computing it may be desirable to keep the chunks as `numpy.ndarray`. + Can be either iterable of documents, which are lists of `(word_id, word_count)`, + or a sparse csc matrix of BOWs for each document. + If not specified, the model is left uninitialized (presumably, to be trained later with `self.train()`). """ - if self._W is None: self._setup(corpus) chunk_idx = 1 for _ in range(self.passes): - for chunk in utils.grouper( - corpus, self.chunksize, as_numpy=chunks_as_numpy - ): - self.random_state.shuffle(chunk) - v = matutils.corpus2csc(chunk, len(self.id2word)).tocsr() - self._h, self._r = self._solveproj( - v, self._W, r=self._r, h=self._h, v_max=self.v_max + if isinstance(corpus, scipy.sparse.csc.csc_matrix): + grouper = ( + corpus[:, col_idx:col_idx + self.chunksize] + for col_idx + in range(0, corpus.shape[1], self.chunksize) ) - h, r = self._h, self._r + else: + grouper = utils.grouper(corpus, self.chunksize) + + for chunk in grouper: + if isinstance(corpus, scipy.sparse.csc.csc_matrix): + v = chunk[:, self.random_state.permutation(chunk.shape[1])] + else: + self.random_state.shuffle(chunk) + + v = matutils.corpus2csc( + chunk, + num_terms=self.num_tokens, + ) + + self._h = self._solveproj(v, self._W, h=self._h, v_max=self.v_max) + h = self._h self.A *= chunk_idx - 1 self.A += h.dot(h.T) self.A /= chunk_idx self.B *= chunk_idx - 1 - self.B += (v - r).dot(h.T) + self.B += v.dot(h.T) self.B /= chunk_idx + prev_w_error = self._w_error + self._solve_w() if chunk_idx % self.eval_every == 0: - logger.info( - "Loss (no outliers): {}\tLoss (with outliers): {}".format( - scipy.sparse.linalg.norm(v - self._W.dot(h)), - scipy.sparse.linalg.norm(v - self._W.dot(h) - r), - ) - ) + logger.info("Loss: {}".format(self._w_error / prev_w_error)) chunk_idx += 1 - logger.info( - "Loss (no outliers): {}\tLoss (with outliers): {}".format( - scipy.sparse.linalg.norm(v - self._W.dot(h)), - scipy.sparse.linalg.norm(v - self._W.dot(h) - r), - ) - ) + logger.info("Loss: {}".format(self._w_error / prev_w_error)) def _solve_w(self): - """Update W matrix.""" + """Update W.""" def error(): + Wt = self._W.T return ( - 0.5 * self._W.T.dot(self._W).dot(self.A).diagonal().sum() - - self._W.T.dot(self.B).diagonal().sum() + 0.5 * Wt.dot(self._W).dot(self.A).trace() + - Wt.dot(self.B).trace() ) - eta = self._kappa / scipy.sparse.linalg.norm(self.A) + eta = self._kappa / np.linalg.norm(self.A) for iter_number in range(self._w_max_iter): - logger.debug("w_error: %s" % self._w_error) + logger.debug("w_error: {}".format(self._w_error)) error_ = error() if ( - self._w_error + self._w_error < np.inf and np.abs((error_ - self._w_error) / self._w_error) < self._w_stop_condition ): break @@ -556,8 +657,11 @@ def _apply(self, corpus, chunksize=None, **kwargs): Parameters ---------- - corpus : iterable of list of (int, number) - Corpus in sparse Gensim bag-of-words format. + corpus : iterable of list of (int, float), optional + Training corpus. + Can be either iterable of documents, which are lists of `(word_id, word_count)`, + or a sparse csc matrix of BOWs for each document. + If not specified, the model is left uninitialized (presumably, to be trained later with `self.train()`). chunksize : int, optional If provided, a more effective processing will performed. @@ -571,36 +675,29 @@ def _apply(self, corpus, chunksize=None, **kwargs): def _transform(self): """Apply boundaries on W.""" - np.clip(self._W.data, 0, self.v_max, out=self._W.data) - self._W.eliminate_zeros() - sumsq = scipy.sparse.linalg.norm(self._W, axis=0) + np.clip(self._W, 0, self.v_max, out=self._W) + sumsq = np.linalg.norm(self._W, axis=0) np.maximum(sumsq, 1, out=sumsq) - sumsq = np.repeat(sumsq, self._W.getnnz(axis=0)) - self._W.data /= sumsq + self._W /= sumsq - is_great_enough_data = self._W.data > self.w_std * self.sparse_coef - is_great_enough = self._W.toarray() > self.w_std * self.sparse_coef - is_all_too_small = is_great_enough.sum(axis=0) == 0 - is_all_too_small = np.repeat(is_all_too_small, self._W.getnnz(axis=0)) - - is_great_enough_data |= is_all_too_small - - self._W.data *= is_great_enough_data - self._W.eliminate_zeros() + @staticmethod + def _dense_dot_csc(dense, csc): + if OLD_SCIPY: + return (csc.T.dot(dense.T)).T + else: + return scipy.sparse.csc_matrix.dot(dense, csc) - def _solveproj(self, v, W, h=None, r=None, v_max=None): + def _solveproj(self, v, W, h=None, v_max=None): """Update residuals and representation(h) matrices. Parameters ---------- - v : iterable of list(int, float) + v : scipy.sparse.csc_matrix Subset of training corpus. - W : scipy.sparse.csc_matrix + W : ndarray Dictionary matrix. - h : scipy.sparse.csr_matrix + h : ndarray Representation matrix. - r : scipy.sparse.csr_matrix - Residuals matrix. v_max : float Maximum possible value in matrices. @@ -612,45 +709,30 @@ def _solveproj(self, v, W, h=None, r=None, v_max=None): self.v_max = v.max() batch_size = v.shape[1] - rshape = (m, batch_size) hshape = (n, batch_size) if h is None or h.shape != hshape: - h = scipy.sparse.csr_matrix(hshape) - - if r is None or r.shape != rshape: - r = scipy.sparse.csr_matrix(rshape) + h = np.zeros(hshape) - WtW = W.T.dot(W) + Wt = W.T + WtW = Wt.dot(W) - _h_r_error = None + h_error = None - for iter_number in range(self._h_r_max_iter): - logger.debug("h_r_error: %s" % _h_r_error) + for iter_number in range(self._h_max_iter): + logger.debug("h_error: {}".format(h_error)) - error_ = 0. + Wtv = self._dense_dot_csc(Wt, v) - Wt_v_minus_r = W.T.dot(v - r) + permutation = self.random_state.permutation(self.num_topics).astype(np.int32) - h_ = h.toarray() - error_ = max( - error_, solve_h(h_, Wt_v_minus_r.toarray(), WtW.toarray(), self._kappa) - ) - h = scipy.sparse.csr_matrix(h_) - - if self.use_r: - r_actual = v - W.dot(h) - error_ = max( - error_, - solve_r(r, r_actual, self._lambda_, self.v_max) - ) - r = r_actual + error_ = solve_h(h, Wtv, WtW, permutation, self._kappa) error_ /= m - if _h_r_error and np.abs(_h_r_error - error_) < self._h_r_stop_condition: + if h_error and np.abs(h_error - error_) < self.h_stop_condition: break - _h_r_error = error_ + h_error = error_ - return h, r + return h diff --git a/gensim/models/nmf_pgd.c b/gensim/models/nmf_pgd.c index 83857ce7fa..6ae13d947a 100644 --- a/gensim/models/nmf_pgd.c +++ b/gensim/models/nmf_pgd.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.28.6 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,7 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_28_6" #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -79,10 +78,6 @@ #define CYTHON_PEP489_MULTI_PHASE_INIT 0 #undef CYTHON_USE_TP_FINALIZE #define CYTHON_USE_TP_FINALIZE 0 - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 #elif defined(PYSTON_VERSION) #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_PYSTON 1 @@ -120,10 +115,6 @@ #define CYTHON_PEP489_MULTI_PHASE_INIT 0 #undef CYTHON_USE_TP_FINALIZE #define CYTHON_USE_TP_FINALIZE 0 - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 #else #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_PYSTON 0 @@ -177,17 +168,11 @@ #define CYTHON_FAST_PYCALL 1 #endif #ifndef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000) + #define CYTHON_PEP489_MULTI_PHASE_INIT (0 && PY_VERSION_HEX >= 0x03050000) #endif #ifndef CYTHON_USE_TP_FINALIZE #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1) #endif - #ifndef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1) - #endif - #ifndef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3) - #endif #endif #if !defined(CYTHON_FAST_PYCCALL) #define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) @@ -198,7 +183,7 @@ #undef BASE #undef MASK #ifdef SIZEOF_VOID_P - enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; + enum { __pyx_check_sizeof_voidp = 1/(SIZEOF_VOID_P == sizeof(void*)) }; #endif #endif #ifndef __has_attribute @@ -326,9 +311,6 @@ #ifndef Py_TPFLAGS_HAVE_FINALIZE #define Py_TPFLAGS_HAVE_FINALIZE 0 #endif -#ifndef METH_STACKLESS - #define METH_STACKLESS 0 -#endif #if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) #ifndef METH_FASTCALL #define METH_FASTCALL 0x80 @@ -342,40 +324,15 @@ #endif #if CYTHON_FAST_PYCCALL #define __Pyx_PyFastCFunction_Check(func)\ - ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))))) + ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS))))) #else #define __Pyx_PyFastCFunction_Check(func) 0 #endif -#if CYTHON_USE_DICT_VERSIONS -#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ - (version_var) = __PYX_GET_DICT_VERSION(dict);\ - (cache_var) = (value); -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ - (VAR) = __pyx_dict_cached_value;\ - } else {\ - (VAR) = __pyx_dict_cached_value = (LOOKUP);\ - __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ - }\ - } -#else -#define __PYX_GET_DICT_VERSION(dict) (0) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); -#endif #if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) #define PyObject_Malloc(s) PyMem_Malloc(s) #define PyObject_Free(p) PyMem_Free(p) #define PyObject_Realloc(p) PyMem_Realloc(p) #endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1 - #define PyMem_RawMalloc(n) PyMem_Malloc(n) - #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n) - #define PyMem_RawFree(p) PyMem_Free(p) -#endif #if CYTHON_COMPILING_IN_PYSTON #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co) #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno) @@ -483,8 +440,8 @@ static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { #if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format) #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) #endif -#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) -#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) +#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) +#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) #else @@ -642,9 +599,6 @@ typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* enc (sizeof(type) == sizeof(Py_ssize_t) &&\ (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX))) ) -static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { - return (size_t) i < (size_t) limit; -} #if defined (__cplusplus) && __cplusplus >= 201103L #include #define __Pyx_sst_abs(value) std::abs(value) @@ -703,7 +657,6 @@ static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { #define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); #define __Pyx_PySequence_Tuple(obj)\ (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) @@ -784,7 +737,7 @@ static int __Pyx_init_sys_getdefaultencoding_params(void) { if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; - __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); + __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(default_encoding); @@ -821,7 +774,7 @@ static const char *__pyx_filename; static const char *__pyx_f[] = { - "gensim/models/nmf_pgd.pyx", + "nmf_pgd.pyx", "stringsource", }; /* NoFastGil.proto */ @@ -939,7 +892,7 @@ struct __pyx_MemviewEnum_obj; struct __pyx_memoryview_obj; struct __pyx_memoryviewslice_obj; -/* "View.MemoryView":105 +/* "View.MemoryView":104 * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< @@ -964,7 +917,7 @@ struct __pyx_array_obj { }; -/* "View.MemoryView":279 +/* "View.MemoryView":278 * * @cname('__pyx_MemviewEnum') * cdef class Enum(object): # <<<<<<<<<<<<<< @@ -977,7 +930,7 @@ struct __pyx_MemviewEnum_obj { }; -/* "View.MemoryView":330 +/* "View.MemoryView":329 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< @@ -1000,7 +953,7 @@ struct __pyx_memoryview_obj { }; -/* "View.MemoryView":961 +/* "View.MemoryView":960 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< @@ -1017,7 +970,7 @@ struct __pyx_memoryviewslice_obj { -/* "View.MemoryView":105 +/* "View.MemoryView":104 * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< @@ -1031,7 +984,7 @@ struct __pyx_vtabstruct_array { static struct __pyx_vtabstruct_array *__pyx_vtabptr_array; -/* "View.MemoryView":330 +/* "View.MemoryView":329 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< @@ -1051,7 +1004,7 @@ struct __pyx_vtabstruct_memoryview { static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; -/* "View.MemoryView":961 +/* "View.MemoryView":960 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< @@ -1244,23 +1197,8 @@ static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, #else #define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs) #endif -#define __Pyx_BUILD_ASSERT_EXPR(cond)\ - (sizeof(char [1 - 2*!(cond)]) - 1) -#ifndef Py_MEMBER_SIZE -#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) -#endif - static size_t __pyx_pyframe_localsplus_offset = 0; - #include "frameobject.h" - #define __Pxy_PyFrame_Initialize_Offsets()\ - ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ - (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) - #define __Pyx_PyFrame_GetLocalsplus(frame)\ - (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) #endif -/* PyObjectCall2Args.proto */ -static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); - /* PyObjectCallMethO.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); @@ -1355,25 +1293,7 @@ static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tsta static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); /* GetModuleGlobalName.proto */ -#if CYTHON_USE_DICT_VERSIONS -#define __Pyx_GetModuleGlobalName(var, name) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ - (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ - __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ - PY_UINT64_T __pyx_dict_version;\ - PyObject *__pyx_dict_cached_value;\ - (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); -#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) -#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); -#endif +static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); /* RaiseTooManyValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); @@ -1387,11 +1307,6 @@ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); /* ExtTypeTest.proto */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); -/* GetTopmostException.proto */ -#if CYTHON_USE_EXC_INFO_STACK -static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); -#endif - /* SaveResetException.proto */ #if CYTHON_FAST_THREAD_STATE #define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) @@ -1614,6 +1529,9 @@ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_d /* ObjectToMemviewSlice.proto */ static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *, int writable_flag); +/* ObjectToMemviewSlice.proto */ +static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag); + /* MemviewSliceCopyTemplate.proto */ static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, @@ -1636,12 +1554,6 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); /* CIntFromPy.proto */ static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *); -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag); - -/* ObjectToMemviewSlice.proto */ -static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *, int writable_flag); - /* CheckBinaryVersion.proto */ static int __Pyx_check_binary_version(void); @@ -1675,7 +1587,6 @@ static int __pyx_memoryview_thread_locks_used; static PyThread_type_lock __pyx_memoryview_thread_locks[8]; static double __pyx_f_6gensim_6models_7nmf_pgd_fmin(double, double); /*proto*/ static double __pyx_f_6gensim_6models_7nmf_pgd_fmax(double, double); /*proto*/ -static double __pyx_f_6gensim_6models_7nmf_pgd_clip(double, double, double); /*proto*/ static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/ static void *__pyx_align_pointer(void *, size_t); /*proto*/ static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/ @@ -1727,13 +1638,12 @@ static PyObject *__pyx_builtin_IndexError; static const char __pyx_k_O[] = "O"; static const char __pyx_k_c[] = "c"; static const char __pyx_k_h[] = "h"; -static const char __pyx_k_r[] = "r"; static const char __pyx_k_id[] = "id"; static const char __pyx_k_WtW[] = "WtW"; +static const char __pyx_k_Wtv[] = "Wtv"; static const char __pyx_k_new[] = "__new__"; static const char __pyx_k_obj[] = "obj"; static const char __pyx_k_base[] = "base"; -static const char __pyx_k_data[] = "data"; static const char __pyx_k_dict[] = "__dict__"; static const char __pyx_k_grad[] = "grad"; static const char __pyx_k_main[] = "__main__"; @@ -1753,57 +1663,43 @@ static const char __pyx_k_kappa[] = "kappa"; static const char __pyx_k_range[] = "range"; static const char __pyx_k_shape[] = "shape"; static const char __pyx_k_start[] = "start"; -static const char __pyx_k_v_max[] = "v_max"; static const char __pyx_k_encode[] = "encode"; static const char __pyx_k_format[] = "format"; static const char __pyx_k_import[] = "__import__"; -static const char __pyx_k_indptr[] = "indptr"; -static const char __pyx_k_lambda[] = "lambda_"; static const char __pyx_k_name_2[] = "__name__"; static const char __pyx_k_pickle[] = "pickle"; -static const char __pyx_k_r_data[] = "r_data"; static const char __pyx_k_reduce[] = "__reduce__"; static const char __pyx_k_struct[] = "struct"; static const char __pyx_k_unpack[] = "unpack"; static const char __pyx_k_update[] = "update"; static const char __pyx_k_fortran[] = "fortran"; static const char __pyx_k_hessian[] = "hessian"; -static const char __pyx_k_indices[] = "indices"; static const char __pyx_k_memview[] = "memview"; static const char __pyx_k_solve_h[] = "solve_h"; -static const char __pyx_k_solve_r[] = "solve_r"; static const char __pyx_k_Ellipsis[] = "Ellipsis"; static const char __pyx_k_getstate[] = "__getstate__"; static const char __pyx_k_itemsize[] = "itemsize"; static const char __pyx_k_pyx_type[] = "__pyx_type"; -static const char __pyx_k_r_actual[] = "r_actual"; -static const char __pyx_k_r_indptr[] = "r_indptr"; static const char __pyx_k_setstate[] = "__setstate__"; static const char __pyx_k_TypeError[] = "TypeError"; static const char __pyx_k_enumerate[] = "enumerate"; static const char __pyx_k_n_samples[] = "n_samples"; static const char __pyx_k_pyx_state[] = "__pyx_state"; -static const char __pyx_k_r_col_idx[] = "r_col_idx"; -static const char __pyx_k_r_element[] = "r_element"; -static const char __pyx_k_r_indices[] = "r_indices"; static const char __pyx_k_reduce_ex[] = "__reduce_ex__"; static const char __pyx_k_violation[] = "violation"; static const char __pyx_k_IndexError[] = "IndexError"; static const char __pyx_k_ValueError[] = "ValueError"; static const char __pyx_k_pyx_result[] = "__pyx_result"; static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; -static const char __pyx_k_r_col_size[] = "r_col_size"; static const char __pyx_k_sample_idx[] = "sample_idx"; static const char __pyx_k_MemoryError[] = "MemoryError"; static const char __pyx_k_PickleError[] = "PickleError"; -static const char __pyx_k_Wt_v_minus_r[] = "Wt_v_minus_r"; +static const char __pyx_k_nmf_pgd_pyx[] = "nmf_pgd.pyx"; +static const char __pyx_k_permutation[] = "permutation"; static const char __pyx_k_n_components[] = "n_components"; static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; -static const char __pyx_k_r_col_indptr[] = "r_col_indptr"; static const char __pyx_k_stringsource[] = "stringsource"; static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer"; -static const char __pyx_k_r_actual_data[] = "r_actual_data"; -static const char __pyx_k_r_actual_sign[] = "r_actual_sign"; static const char __pyx_k_reduce_cython[] = "__reduce_cython__"; static const char __pyx_k_projected_grad[] = "projected_grad"; static const char __pyx_k_View_MemoryView[] = "View.MemoryView"; @@ -1812,16 +1708,10 @@ static const char __pyx_k_component_idx_1[] = "component_idx_1"; static const char __pyx_k_component_idx_2[] = "component_idx_2"; static const char __pyx_k_dtype_is_object[] = "dtype_is_object"; static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError"; -static const char __pyx_k_r_actual_indptr[] = "r_actual_indptr"; static const char __pyx_k_setstate_cython[] = "__setstate_cython__"; -static const char __pyx_k_r_actual_col_idx[] = "r_actual_col_idx"; -static const char __pyx_k_r_actual_element[] = "r_actual_element"; -static const char __pyx_k_r_actual_indices[] = "r_actual_indices"; static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum"; -static const char __pyx_k_r_actual_col_size[] = "r_actual_col_size"; static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; static const char __pyx_k_strided_and_direct[] = ""; -static const char __pyx_k_r_actual_col_indptr[] = "r_actual_col_indptr"; static const char __pyx_k_strided_and_indirect[] = ""; static const char __pyx_k_contiguous_and_direct[] = ""; static const char __pyx_k_gensim_models_nmf_pgd[] = "gensim.models.nmf_pgd"; @@ -1830,7 +1720,6 @@ static const char __pyx_k_MemoryView_of_r_at_0x_x[] = " y else y # <<<<<<<<<<<<<< * - * cdef double clip(double a, double a_min, double a_max) nogil: + * def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa): */ if (((__pyx_v_x > __pyx_v_y) != 0)) { __pyx_t_1 = __pyx_v_x; @@ -2138,82 +2005,33 @@ static double __pyx_f_6gensim_6models_7nmf_pgd_fmax(double __pyx_v_x, double __p /* "gensim/models/nmf_pgd.pyx":18 * return x if x > y else y * - * cdef double clip(double a, double a_min, double a_max) nogil: # <<<<<<<<<<<<<< - * a = fmin(a, a_max) - * a = fmax(a, a_min) - */ - -static double __pyx_f_6gensim_6models_7nmf_pgd_clip(double __pyx_v_a, double __pyx_v_a_min, double __pyx_v_a_max) { - double __pyx_r; - - /* "gensim/models/nmf_pgd.pyx":19 - * - * cdef double clip(double a, double a_min, double a_max) nogil: - * a = fmin(a, a_max) # <<<<<<<<<<<<<< - * a = fmax(a, a_min) - * return a - */ - __pyx_v_a = __pyx_f_6gensim_6models_7nmf_pgd_fmin(__pyx_v_a, __pyx_v_a_max); - - /* "gensim/models/nmf_pgd.pyx":20 - * cdef double clip(double a, double a_min, double a_max) nogil: - * a = fmin(a, a_max) - * a = fmax(a, a_min) # <<<<<<<<<<<<<< - * return a - * - */ - __pyx_v_a = __pyx_f_6gensim_6models_7nmf_pgd_fmax(__pyx_v_a, __pyx_v_a_min); - - /* "gensim/models/nmf_pgd.pyx":21 - * a = fmin(a, a_max) - * a = fmax(a, a_min) - * return a # <<<<<<<<<<<<<< - * - * def solve_h(double[:, ::1] h, double[:, :] Wt_v_minus_r, double[:, ::1] WtW, double kappa): - */ - __pyx_r = __pyx_v_a; - goto __pyx_L0; - - /* "gensim/models/nmf_pgd.pyx":18 - * return x if x > y else y - * - * cdef double clip(double a, double a_min, double a_max) nogil: # <<<<<<<<<<<<<< - * a = fmin(a, a_max) - * a = fmax(a, a_min) - */ - - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} - -/* "gensim/models/nmf_pgd.pyx":23 - * return a - * - * def solve_h(double[:, ::1] h, double[:, :] Wt_v_minus_r, double[:, ::1] WtW, double kappa): # <<<<<<<<<<<<<< + * def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa): # <<<<<<<<<<<<<< * """Find optimal dense vector representation for current W and r matrices. * */ /* Python wrapper */ static PyObject *__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/ -static char __pyx_doc_6gensim_6models_7nmf_pgd_solve_h[] = "solve_h(double[:, ::1] h, double[:, :] Wt_v_minus_r, double[:, ::1] WtW, double kappa)\nFind optimal dense vector representation for current W and r matrices.\n\n Parameters\n ----------\n h : matrix\n Dense representation of documents in current batch.\n Wt_v_minus_r : matrix\n WtW : matrix\n\n Returns\n -------\n float\n Cumulative difference between previous and current h vectors.\n\n "; -static PyMethodDef __pyx_mdef_6gensim_6models_7nmf_pgd_1solve_h = {"solve_h", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_7nmf_pgd_solve_h}; +static char __pyx_doc_6gensim_6models_7nmf_pgd_solve_h[] = "solve_h(__Pyx_memviewslice h, __Pyx_memviewslice Wtv, __Pyx_memviewslice WtW, __Pyx_memviewslice permutation, double kappa)\nFind optimal dense vector representation for current W and r matrices.\n\n Parameters\n ----------\n h : matrix\n Dense representation of documents in current batch.\n Wtv : matrix\n WtW : matrix\n\n Returns\n -------\n float\n Cumulative difference between previous and current h vectors.\n\n "; +static PyMethodDef __pyx_mdef_6gensim_6models_7nmf_pgd_1solve_h = {"solve_h", (PyCFunction)__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gensim_6models_7nmf_pgd_solve_h}; static PyObject *__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) { __Pyx_memviewslice __pyx_v_h = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_memviewslice __pyx_v_Wt_v_minus_r = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_Wtv = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_memviewslice __pyx_v_WtW = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_memviewslice __pyx_v_permutation = { 0, 0, { 0 }, { 0 }, { 0 } }; double __pyx_v_kappa; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("solve_h (wrapper)", 0); { - static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_h,&__pyx_n_s_Wt_v_minus_r,&__pyx_n_s_WtW,&__pyx_n_s_kappa,0}; - PyObject* values[4] = {0,0,0,0}; + static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_h,&__pyx_n_s_Wtv,&__pyx_n_s_WtW,&__pyx_n_s_permutation,&__pyx_n_s_kappa,0}; + PyObject* values[5] = {0,0,0,0,0}; if (unlikely(__pyx_kwds)) { Py_ssize_t kw_args; const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args); switch (pos_args) { + case 5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4); + CYTHON_FALLTHROUGH; case 4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3); CYTHON_FALLTHROUGH; case 3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2); @@ -2232,55 +2050,63 @@ static PyObject *__pyx_pw_6gensim_6models_7nmf_pgd_1solve_h(PyObject *__pyx_self else goto __pyx_L5_argtuple_error; CYTHON_FALLTHROUGH; case 1: - if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Wt_v_minus_r)) != 0)) kw_args--; + if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_Wtv)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("solve_h", 1, 4, 4, 1); __PYX_ERR(0, 23, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("solve_h", 1, 5, 5, 1); __PYX_ERR(0, 18, 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(unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "solve_h") < 0)) __PYX_ERR(0, 23, __pyx_L3_error) + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "solve_h") < 0)) __PYX_ERR(0, 18, __pyx_L3_error) } - } else if (PyTuple_GET_SIZE(__pyx_args) != 4) { + } else if (PyTuple_GET_SIZE(__pyx_args) != 5) { goto __pyx_L5_argtuple_error; } else { values[0] = PyTuple_GET_ITEM(__pyx_args, 0); values[1] = PyTuple_GET_ITEM(__pyx_args, 1); values[2] = PyTuple_GET_ITEM(__pyx_args, 2); values[3] = PyTuple_GET_ITEM(__pyx_args, 3); + values[4] = PyTuple_GET_ITEM(__pyx_args, 4); } - __pyx_v_h = __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(values[0], PyBUF_WRITABLE); if (unlikely(!__pyx_v_h.memview)) __PYX_ERR(0, 23, __pyx_L3_error) - __pyx_v_Wt_v_minus_r = __Pyx_PyObject_to_MemoryviewSlice_dsds_double(values[1], PyBUF_WRITABLE); if (unlikely(!__pyx_v_Wt_v_minus_r.memview)) __PYX_ERR(0, 23, __pyx_L3_error) - __pyx_v_WtW = 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PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_h, __Pyx_memviewslice __pyx_v_Wt_v_minus_r, __Pyx_memviewslice __pyx_v_WtW, double __pyx_v_kappa) { +static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_h, __Pyx_memviewslice __pyx_v_Wtv, __Pyx_memviewslice __pyx_v_WtW, __Pyx_memviewslice __pyx_v_permutation, double __pyx_v_kappa) { Py_ssize_t __pyx_v_n_components; CYTHON_UNUSED Py_ssize_t __pyx_v_n_samples; double __pyx_v_violation; @@ -2309,17 +2135,18 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec Py_ssize_t __pyx_t_15; Py_ssize_t __pyx_t_16; Py_ssize_t __pyx_t_17; - double __pyx_t_18; - Py_ssize_t __pyx_t_19; + Py_ssize_t __pyx_t_18; + double __pyx_t_19; Py_ssize_t __pyx_t_20; Py_ssize_t __pyx_t_21; Py_ssize_t __pyx_t_22; Py_ssize_t __pyx_t_23; Py_ssize_t __pyx_t_24; - PyObject *__pyx_t_25 = NULL; + Py_ssize_t __pyx_t_25; + PyObject *__pyx_t_26 = NULL; __Pyx_RefNannySetupContext("solve_h", 0); - /* "gensim/models/nmf_pgd.pyx":40 + /* "gensim/models/nmf_pgd.pyx":35 * """ * * cdef Py_ssize_t n_components = h.shape[0] # <<<<<<<<<<<<<< @@ -2328,7 +2155,7 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_n_components = (__pyx_v_h.shape[0]); - /* "gensim/models/nmf_pgd.pyx":41 + /* "gensim/models/nmf_pgd.pyx":36 * * cdef Py_ssize_t n_components = h.shape[0] * cdef Py_ssize_t n_samples = h.shape[1] # <<<<<<<<<<<<<< @@ -2337,7 +2164,7 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_n_samples = (__pyx_v_h.shape[1]); - /* "gensim/models/nmf_pgd.pyx":42 + /* "gensim/models/nmf_pgd.pyx":37 * cdef Py_ssize_t n_components = h.shape[0] * cdef Py_ssize_t n_samples = h.shape[1] * cdef double violation = 0 # <<<<<<<<<<<<<< @@ -2346,7 +2173,7 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_violation = 0.0; - /* "gensim/models/nmf_pgd.pyx":44 + /* "gensim/models/nmf_pgd.pyx":39 * cdef double violation = 0 * cdef double grad, projected_grad, hessian * cdef Py_ssize_t sample_idx = 0 # <<<<<<<<<<<<<< @@ -2355,7 +2182,7 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_sample_idx = 0; - /* "gensim/models/nmf_pgd.pyx":45 + /* "gensim/models/nmf_pgd.pyx":40 * cdef double grad, projected_grad, hessian * cdef Py_ssize_t sample_idx = 0 * cdef Py_ssize_t component_idx_1 = 0 # <<<<<<<<<<<<<< @@ -2364,7 +2191,7 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_component_idx_1 = 0; - /* "gensim/models/nmf_pgd.pyx":46 + /* "gensim/models/nmf_pgd.pyx":41 * cdef Py_ssize_t sample_idx = 0 * cdef Py_ssize_t component_idx_1 = 0 * cdef Py_ssize_t component_idx_2 = 0 # <<<<<<<<<<<<<< @@ -2373,12 +2200,12 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_component_idx_2 = 0; - /* "gensim/models/nmf_pgd.pyx":48 + /* "gensim/models/nmf_pgd.pyx":43 * cdef Py_ssize_t component_idx_2 = 0 * * for sample_idx in prange(n_samples, nogil=True): # <<<<<<<<<<<<<< * for component_idx_1 in range(n_components): - * + * component_idx_1 = permutation[component_idx_1] */ { #ifdef WITH_THREAD @@ -2400,7 +2227,7 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec if (__pyx_t_3 > 0) { #ifdef _OPENMP - #pragma omp parallel reduction(+:__pyx_v_violation) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) + #pragma omp parallel reduction(+:__pyx_v_violation) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_22, __pyx_t_23, __pyx_t_24, __pyx_t_25, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) #endif /* _OPENMP */ { #ifdef _OPENMP @@ -2416,67 +2243,77 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec __pyx_v_hessian = ((double)__PYX_NAN()); __pyx_v_projected_grad = ((double)__PYX_NAN()); - /* "gensim/models/nmf_pgd.pyx":49 + /* "gensim/models/nmf_pgd.pyx":44 * * for sample_idx in prange(n_samples, nogil=True): * for component_idx_1 in range(n_components): # <<<<<<<<<<<<<< + * component_idx_1 = permutation[component_idx_1] * - * grad = -Wt_v_minus_r[component_idx_1, sample_idx] */ __pyx_t_4 = __pyx_v_n_components; __pyx_t_5 = __pyx_t_4; for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_component_idx_1 = __pyx_t_6; - /* "gensim/models/nmf_pgd.pyx":51 + /* "gensim/models/nmf_pgd.pyx":45 + * for sample_idx in prange(n_samples, nogil=True): * for component_idx_1 in range(n_components): + * component_idx_1 = permutation[component_idx_1] # <<<<<<<<<<<<<< + * + * grad = -Wtv[component_idx_1, sample_idx] + */ + __pyx_t_7 = __pyx_v_component_idx_1; + __pyx_v_component_idx_1 = (*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_permutation.data) + __pyx_t_7)) ))); + + /* "gensim/models/nmf_pgd.pyx":47 + * component_idx_1 = permutation[component_idx_1] * - * grad = -Wt_v_minus_r[component_idx_1, sample_idx] # <<<<<<<<<<<<<< + * grad = -Wtv[component_idx_1, sample_idx] # <<<<<<<<<<<<<< * * for component_idx_2 in range(n_components): */ - __pyx_t_7 = __pyx_v_component_idx_1; - __pyx_t_8 = __pyx_v_sample_idx; - __pyx_v_grad = (-(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_Wt_v_minus_r.data + __pyx_t_7 * __pyx_v_Wt_v_minus_r.strides[0]) ) + __pyx_t_8 * __pyx_v_Wt_v_minus_r.strides[1]) )))); + __pyx_t_8 = __pyx_v_component_idx_1; + __pyx_t_9 = __pyx_v_sample_idx; + __pyx_v_grad = (-(*((double *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_Wtv.data + __pyx_t_8 * __pyx_v_Wtv.strides[0]) ) + __pyx_t_9 * __pyx_v_Wtv.strides[1]) )))); - /* "gensim/models/nmf_pgd.pyx":53 - * grad = -Wt_v_minus_r[component_idx_1, sample_idx] + /* "gensim/models/nmf_pgd.pyx":49 + * grad = -Wtv[component_idx_1, sample_idx] * * for component_idx_2 in range(n_components): # <<<<<<<<<<<<<< * grad += WtW[component_idx_1, component_idx_2] * h[component_idx_2, sample_idx] * */ - __pyx_t_9 = __pyx_v_n_components; - __pyx_t_10 = __pyx_t_9; - for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) { - __pyx_v_component_idx_2 = __pyx_t_11; + __pyx_t_10 = __pyx_v_n_components; + __pyx_t_11 = __pyx_t_10; + for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) { + __pyx_v_component_idx_2 = __pyx_t_12; - /* "gensim/models/nmf_pgd.pyx":54 + /* "gensim/models/nmf_pgd.pyx":50 * * for component_idx_2 in range(n_components): * grad += WtW[component_idx_1, component_idx_2] * h[component_idx_2, sample_idx] # <<<<<<<<<<<<<< * * hessian = WtW[component_idx_1, component_idx_1] */ - __pyx_t_12 = __pyx_v_component_idx_1; - __pyx_t_13 = __pyx_v_component_idx_2; + __pyx_t_13 = __pyx_v_component_idx_1; __pyx_t_14 = __pyx_v_component_idx_2; - __pyx_t_15 = __pyx_v_sample_idx; - __pyx_v_grad = (__pyx_v_grad + ((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_WtW.data + __pyx_t_12 * __pyx_v_WtW.strides[0]) )) + __pyx_t_13)) ))) * (*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_14 * __pyx_v_h.strides[0]) )) + __pyx_t_15)) ))))); + __pyx_t_15 = __pyx_v_component_idx_2; + __pyx_t_16 = __pyx_v_sample_idx; + __pyx_v_grad = (__pyx_v_grad + ((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_WtW.data + __pyx_t_13 * __pyx_v_WtW.strides[0]) )) + __pyx_t_14)) ))) * (*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_15 * __pyx_v_h.strides[0]) )) + __pyx_t_16)) ))))); } - /* "gensim/models/nmf_pgd.pyx":56 + /* "gensim/models/nmf_pgd.pyx":52 * grad += WtW[component_idx_1, component_idx_2] * h[component_idx_2, sample_idx] * * hessian = WtW[component_idx_1, component_idx_1] # <<<<<<<<<<<<<< * * grad = grad * kappa / hessian */ - __pyx_t_16 = __pyx_v_component_idx_1; __pyx_t_17 = __pyx_v_component_idx_1; - __pyx_v_hessian = (*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_WtW.data + __pyx_t_16 * __pyx_v_WtW.strides[0]) )) + __pyx_t_17)) ))); + __pyx_t_18 = __pyx_v_component_idx_1; + __pyx_v_hessian = (*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_WtW.data + __pyx_t_17 * __pyx_v_WtW.strides[0]) )) + __pyx_t_18)) ))); - /* "gensim/models/nmf_pgd.pyx":58 + /* "gensim/models/nmf_pgd.pyx":54 * hessian = WtW[component_idx_1, component_idx_1] * * grad = grad * kappa / hessian # <<<<<<<<<<<<<< @@ -2485,23 +2322,23 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_grad = ((__pyx_v_grad * __pyx_v_kappa) / __pyx_v_hessian); - /* "gensim/models/nmf_pgd.pyx":60 + /* "gensim/models/nmf_pgd.pyx":56 * grad = grad * kappa / hessian * * projected_grad = fmin(0, grad) if h[component_idx_1, sample_idx] == 0 else grad # <<<<<<<<<<<<<< * * violation += projected_grad * projected_grad */ - __pyx_t_19 = __pyx_v_component_idx_1; - __pyx_t_20 = __pyx_v_sample_idx; - if ((((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_19 * __pyx_v_h.strides[0]) )) + __pyx_t_20)) ))) == 0.0) != 0)) { - __pyx_t_18 = __pyx_f_6gensim_6models_7nmf_pgd_fmin(0.0, __pyx_v_grad); + __pyx_t_20 = __pyx_v_component_idx_1; + __pyx_t_21 = __pyx_v_sample_idx; + if ((((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_20 * __pyx_v_h.strides[0]) )) + __pyx_t_21)) ))) == 0.0) != 0)) { + __pyx_t_19 = __pyx_f_6gensim_6models_7nmf_pgd_fmin(0.0, __pyx_v_grad); } else { - __pyx_t_18 = __pyx_v_grad; + __pyx_t_19 = __pyx_v_grad; } - __pyx_v_projected_grad = __pyx_t_18; + __pyx_v_projected_grad = __pyx_t_19; - /* "gensim/models/nmf_pgd.pyx":62 + /* "gensim/models/nmf_pgd.pyx":58 * projected_grad = fmin(0, grad) if h[component_idx_1, sample_idx] == 0 else grad * * violation += projected_grad * projected_grad # <<<<<<<<<<<<<< @@ -2510,18 +2347,18 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec */ __pyx_v_violation = (__pyx_v_violation + (__pyx_v_projected_grad * __pyx_v_projected_grad)); - /* "gensim/models/nmf_pgd.pyx":64 + /* "gensim/models/nmf_pgd.pyx":60 * violation += projected_grad * projected_grad * * h[component_idx_1, sample_idx] = fmax(h[component_idx_1, sample_idx] - grad, 0.) # <<<<<<<<<<<<<< * * return sqrt(violation) */ - __pyx_t_21 = __pyx_v_component_idx_1; - __pyx_t_22 = __pyx_v_sample_idx; - __pyx_t_23 = __pyx_v_component_idx_1; - __pyx_t_24 = __pyx_v_sample_idx; - *((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_23 * __pyx_v_h.strides[0]) )) + __pyx_t_24)) )) = __pyx_f_6gensim_6models_7nmf_pgd_fmax(((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_21 * __pyx_v_h.strides[0]) )) + __pyx_t_22)) ))) - __pyx_v_grad), 0.); + __pyx_t_22 = __pyx_v_component_idx_1; + __pyx_t_23 = __pyx_v_sample_idx; + __pyx_t_24 = __pyx_v_component_idx_1; + __pyx_t_25 = __pyx_v_sample_idx; + *((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_24 * __pyx_v_h.strides[0]) )) + __pyx_t_25)) )) = __pyx_f_6gensim_6models_7nmf_pgd_fmax(((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_h.data + __pyx_t_22 * __pyx_v_h.strides[0]) )) + __pyx_t_23)) ))) - __pyx_v_grad), 0.); } } } @@ -2536,12 +2373,12 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec #endif } - /* "gensim/models/nmf_pgd.pyx":48 + /* "gensim/models/nmf_pgd.pyx":43 * cdef Py_ssize_t component_idx_2 = 0 * * for sample_idx in prange(n_samples, nogil=True): # <<<<<<<<<<<<<< * for component_idx_1 in range(n_components): - * + * component_idx_1 = permutation[component_idx_1] */ /*finally:*/ { /*normal exit:*/{ @@ -2555,69 +2392,70 @@ static PyObject *__pyx_pf_6gensim_6models_7nmf_pgd_solve_h(CYTHON_UNUSED PyObjec } } - /* "gensim/models/nmf_pgd.pyx":66 + /* "gensim/models/nmf_pgd.pyx":62 * h[component_idx_1, sample_idx] = fmax(h[component_idx_1, sample_idx] - grad, 0.) * * return sqrt(violation) # <<<<<<<<<<<<<< - * - * def solve_r( */ __Pyx_XDECREF(__pyx_r); - __pyx_t_25 = PyFloat_FromDouble(sqrt(__pyx_v_violation)); if (unlikely(!__pyx_t_25)) __PYX_ERR(0, 66, __pyx_L1_error) - __Pyx_GOTREF(__pyx_t_25); - __pyx_r = __pyx_t_25; - __pyx_t_25 = 0; + __pyx_t_26 = PyFloat_FromDouble(sqrt(__pyx_v_violation)); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 62, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_26); + __pyx_r = __pyx_t_26; + __pyx_t_26 = 0; goto __pyx_L0; - /* "gensim/models/nmf_pgd.pyx":23 - * return a + /* "gensim/models/nmf_pgd.pyx":18 + * return x if x > y else y * - 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__pyx_v_r_indptr.data) + __pyx_t_8)) )))); - - /* "gensim/models/nmf_pgd.pyx":115 - * for sample_idx in prange(n_samples, nogil=True): - * r_col_size = r_indptr[sample_idx + 1] - r_indptr[sample_idx] - * r_actual_col_size = r_actual_indptr[sample_idx + 1] - r_actual_indptr[sample_idx] # <<<<<<<<<<<<<< - * - * r_col_idx = 0 - */ - __pyx_t_9 = (__pyx_v_sample_idx + 1); - __pyx_t_10 = __pyx_v_sample_idx; - __pyx_v_r_actual_col_size = ((*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_r_actual_indptr.data) + __pyx_t_9)) ))) - (*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_r_actual_indptr.data) + __pyx_t_10)) )))); - - /* "gensim/models/nmf_pgd.pyx":117 - * r_actual_col_size = r_actual_indptr[sample_idx + 1] - r_actual_indptr[sample_idx] - * - * r_col_idx = 0 # <<<<<<<<<<<<<< - * r_actual_col_idx = 0 - * - */ - __pyx_v_r_col_idx = 0; - - /* "gensim/models/nmf_pgd.pyx":118 - * - * r_col_idx = 0 - * r_actual_col_idx = 0 # <<<<<<<<<<<<<< - * - * while r_col_idx < r_col_size or r_actual_col_idx < r_actual_col_size: - */ - __pyx_v_r_actual_col_idx = 0; - - /* "gensim/models/nmf_pgd.pyx":120 - * r_actual_col_idx = 0 - * - * while r_col_idx < r_col_size or r_actual_col_idx < r_actual_col_size: # <<<<<<<<<<<<<< - * r_col_indptr = r_indices[ - * r_indptr[sample_idx] - */ - while (1) { - __pyx_t_12 = ((__pyx_v_r_col_idx < __pyx_v_r_col_size) != 0); - if (!__pyx_t_12) { - } else { - __pyx_t_11 = __pyx_t_12; - goto __pyx_L12_bool_binop_done; - } - __pyx_t_12 = ((__pyx_v_r_actual_col_idx < __pyx_v_r_actual_col_size) != 0); - __pyx_t_11 = __pyx_t_12; - __pyx_L12_bool_binop_done:; - if (!__pyx_t_11) break; - - /* "gensim/models/nmf_pgd.pyx":122 - * while r_col_idx < r_col_size or r_actual_col_idx < r_actual_col_size: - * r_col_indptr = r_indices[ - * r_indptr[sample_idx] # <<<<<<<<<<<<<< - * + r_col_idx - * ] - */ - __pyx_t_13 = __pyx_v_sample_idx; - - /* "gensim/models/nmf_pgd.pyx":121 - * - * while r_col_idx < r_col_size or r_actual_col_idx < r_actual_col_size: - * r_col_indptr = r_indices[ # <<<<<<<<<<<<<< - * r_indptr[sample_idx] - * + r_col_idx - */ - __pyx_t_14 = ((*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_r_indptr.data) + __pyx_t_13)) ))) + __pyx_v_r_col_idx); - __pyx_v_r_col_indptr = (*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_r_indices.data) + __pyx_t_14)) ))); - - /* "gensim/models/nmf_pgd.pyx":126 - * ] - * r_actual_col_indptr = r_actual_indices[ - * r_actual_indptr[sample_idx] # <<<<<<<<<<<<<< - * + r_actual_col_idx - * ] - */ - __pyx_t_15 = __pyx_v_sample_idx; - - /* "gensim/models/nmf_pgd.pyx":125 - * + r_col_idx - * ] - * r_actual_col_indptr = r_actual_indices[ # <<<<<<<<<<<<<< - * r_actual_indptr[sample_idx] - * + r_actual_col_idx - */ - __pyx_t_16 = ((*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_r_actual_indptr.data) + __pyx_t_15)) ))) + __pyx_v_r_actual_col_idx); - __pyx_v_r_actual_col_indptr = (*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_r_actual_indices.data) + __pyx_t_16)) ))); - - /* "gensim/models/nmf_pgd.pyx":131 - * - * r_element = &r_data[ - * r_indptr[sample_idx] # <<<<<<<<<<<<<< - * + r_col_idx - * ] - */ - __pyx_t_17 = __pyx_v_sample_idx; - - /* "gensim/models/nmf_pgd.pyx":130 - * ] - * - * r_element = &r_data[ # <<<<<<<<<<<<<< - * r_indptr[sample_idx] - * + r_col_idx - */ - __pyx_t_18 = ((*((int *) ( /* dim=0 */ ((char *) (((int *) __pyx_v_r_indptr.data) + __pyx_t_17)) ))) + __pyx_v_r_col_idx); - __pyx_v_r_element = (&(*((double *) ( /* dim=0 */ ((char *) (((double *) __pyx_v_r_data.data) + __pyx_t_18)) )))); - - /* "gensim/models/nmf_pgd.pyx":135 - * ] - * r_actual_element = &r_actual_data[ - * r_actual_indptr[sample_idx] # <<<<<<<<<<<<<< - * + r_actual_col_idx - * ] - */ - __pyx_t_19 = __pyx_v_sample_idx; - - /* "gensim/models/nmf_pgd.pyx":134 - * + r_col_idx - * ] - * r_actual_element = &r_actual_data[ # <<<<<<<<<<<<<< - * r_actual_indptr[sample_idx] - * + r_actual_col_idx - */ - __pyx_t_20 = ((*((int *) ( /* dim=0 */ ((char *) (((int *) 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<<<<<<<<<<<<<< - * r_actual_element[0] = fmax(r_actual_element[0], 0) - * - */ - (__pyx_v_r_actual_element[0]) = (fabs((__pyx_v_r_actual_element[0])) - __pyx_v_lambda_); - - /* "gensim/models/nmf_pgd.pyx":143 - * - * r_actual_element[0] = fabs(r_actual_element[0]) - lambda_ - * r_actual_element[0] = fmax(r_actual_element[0], 0) # <<<<<<<<<<<<<< - * - * if r_actual_element[0] != 0: - */ - (__pyx_v_r_actual_element[0]) = __pyx_f_6gensim_6models_7nmf_pgd_fmax((__pyx_v_r_actual_element[0]), 0.0); - - /* "gensim/models/nmf_pgd.pyx":145 - * r_actual_element[0] = fmax(r_actual_element[0], 0) - * - * if r_actual_element[0] != 0: # <<<<<<<<<<<<<< - * r_actual_element[0] = copysign(r_actual_element[0], r_actual_sign) - * r_actual_element[0] = clip(r_actual_element[0], -v_max, v_max) - */ - __pyx_t_11 = (((__pyx_v_r_actual_element[0]) != 0.0) != 0); - if (__pyx_t_11) { - - /* "gensim/models/nmf_pgd.pyx":146 - * - * if r_actual_element[0] != 0: - * r_actual_element[0] = 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raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data # <<<<<<<<<<<<<< @@ -4230,7 +3311,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_4 = __pyx_v_self->data; __pyx_v_info->buf = __pyx_t_4; - /* "View.MemoryView":194 + /* "View.MemoryView":193 * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data * info.len = self.len # <<<<<<<<<<<<<< @@ -4240,7 +3321,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_5 = __pyx_v_self->len; __pyx_v_info->len = __pyx_t_5; - /* "View.MemoryView":195 + /* "View.MemoryView":194 * info.buf = self.data * info.len = self.len * info.ndim = self.ndim # <<<<<<<<<<<<<< @@ -4250,7 +3331,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_6 = __pyx_v_self->ndim; __pyx_v_info->ndim = __pyx_t_6; - /* "View.MemoryView":196 + /* "View.MemoryView":195 * info.len = self.len * info.ndim = self.ndim * info.shape = self._shape # <<<<<<<<<<<<<< @@ -4260,7 +3341,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_7 = __pyx_v_self->_shape; __pyx_v_info->shape = __pyx_t_7; - /* "View.MemoryView":197 + /* "View.MemoryView":196 * info.ndim = self.ndim * info.shape = self._shape * info.strides = self._strides # <<<<<<<<<<<<<< @@ -4270,7 +3351,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_7 = __pyx_v_self->_strides; __pyx_v_info->strides = __pyx_t_7; - /* "View.MemoryView":198 + /* "View.MemoryView":197 * info.shape = self._shape * info.strides = self._strides * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -4279,7 +3360,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru */ __pyx_v_info->suboffsets = NULL; - /* "View.MemoryView":199 + /* "View.MemoryView":198 * info.strides = self._strides * info.suboffsets = NULL * info.itemsize = self.itemsize # <<<<<<<<<<<<<< @@ -4289,7 +3370,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_5 = __pyx_v_self->itemsize; __pyx_v_info->itemsize = __pyx_t_5; - /* "View.MemoryView":200 + /* "View.MemoryView":199 * info.suboffsets = NULL * info.itemsize = self.itemsize * info.readonly = 0 # <<<<<<<<<<<<<< @@ -4298,7 +3379,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru */ __pyx_v_info->readonly = 0; - /* "View.MemoryView":202 + /* "View.MemoryView":201 * info.readonly = 0 * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< @@ -4308,7 +3389,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { - /* "View.MemoryView":203 + /* "View.MemoryView":202 * * if flags & PyBUF_FORMAT: * info.format = self.format # <<<<<<<<<<<<<< @@ -4318,7 +3399,7 @@ static int 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*__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi } __pyx_L3:; - /* "(tree fragment)":12 + /* "(tree fragment)":10 * else: * use_setstate = self.name is not None * if use_setstate: # <<<<<<<<<<<<<< @@ -5442,7 +4523,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __pyx_t_3 = (__pyx_v_use_setstate != 0); if (__pyx_t_3) { - /* "(tree fragment)":13 + /* "(tree fragment)":11 * use_setstate = self.name is not None * if use_setstate: * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state # <<<<<<<<<<<<<< @@ -5450,9 +4531,9 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) */ __Pyx_XDECREF(__pyx_r); - __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 13, __pyx_L1_error) + __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 11, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); - __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 13, __pyx_L1_error) + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 11, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); @@ -5463,7 +4544,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __Pyx_INCREF(Py_None); __Pyx_GIVEREF(Py_None); PyTuple_SET_ITEM(__pyx_t_1, 2, Py_None); - __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 13, __pyx_L1_error) + __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 11, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); @@ -5478,7 +4559,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __pyx_t_5 = 0; goto __pyx_L0; - /* "(tree fragment)":12 + /* "(tree fragment)":10 * else: * use_setstate = self.name is not None * if use_setstate: # <<<<<<<<<<<<<< @@ -5487,7 +4568,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi */ } - /* "(tree fragment)":15 + /* "(tree fragment)":13 * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state * else: * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) # <<<<<<<<<<<<<< @@ -5496,9 +4577,9 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi */ /*else*/ { __Pyx_XDECREF(__pyx_r); - __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 15, __pyx_L1_error) + __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 13, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); - __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 15, __pyx_L1_error) + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 13, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); @@ -5509,7 +4590,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __Pyx_INCREF(__pyx_v_state); __Pyx_GIVEREF(__pyx_v_state); PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_state); - __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 15, __pyx_L1_error) + __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 13, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); @@ -5524,8 +4605,8 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi /* "(tree fragment)":1 * def __reduce_cython__(self): # <<<<<<<<<<<<<< - * cdef tuple state - * cdef object _dict + * cdef bint use_setstate + * state = (self.name,) */ /* function exit code */ @@ -5543,7 +4624,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi return __pyx_r; } -/* "(tree fragment)":16 +/* "(tree fragment)":14 * else: * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< @@ -5569,17 +4650,17 @@ static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_Me PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("__setstate_cython__", 0); - /* "(tree fragment)":17 + /* "(tree fragment)":15 * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) * def __setstate_cython__(self, __pyx_state): * __pyx_unpickle_Enum__set_state(self, __pyx_state) # <<<<<<<<<<<<<< */ - if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(1, 17, __pyx_L1_error) - __pyx_t_1 = __pyx_unpickle_Enum__set_state(__pyx_v_self, ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 17, __pyx_L1_error) + if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(1, 15, __pyx_L1_error) + __pyx_t_1 = __pyx_unpickle_Enum__set_state(__pyx_v_self, ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 15, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "(tree fragment)":16 + /* "(tree fragment)":14 * else: * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< @@ -5599,7 +4680,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_Me return __pyx_r; } -/* "View.MemoryView":298 +/* "View.MemoryView":297 * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< @@ -5613,7 +4694,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) void *__pyx_r; int __pyx_t_1; - /* "View.MemoryView":300 + /* "View.MemoryView":299 * cdef void *align_pointer(void *memory, size_t alignment) nogil: * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< @@ -5622,7 +4703,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); - /* "View.MemoryView":304 + /* "View.MemoryView":303 * * with cython.cdivision(True): * offset = aligned_p % alignment # <<<<<<<<<<<<<< @@ -5631,7 +4712,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); - /* "View.MemoryView":306 + /* "View.MemoryView":305 * offset = aligned_p % alignment * * if offset > 0: # <<<<<<<<<<<<<< @@ -5641,7 +4722,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) __pyx_t_1 = ((__pyx_v_offset > 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":307 + /* "View.MemoryView":306 * * if offset > 0: * aligned_p += alignment - offset # <<<<<<<<<<<<<< @@ -5650,7 +4731,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); - /* "View.MemoryView":306 + /* "View.MemoryView":305 * offset = aligned_p % alignment * * if offset > 0: # <<<<<<<<<<<<<< @@ -5659,7 +4740,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ } - /* "View.MemoryView":309 + /* "View.MemoryView":308 * aligned_p += alignment - offset * * return aligned_p # <<<<<<<<<<<<<< @@ -5669,7 +4750,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) __pyx_r = ((void *)__pyx_v_aligned_p); goto __pyx_L0; - /* "View.MemoryView":298 + /* "View.MemoryView":297 * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< @@ -5682,7 +4763,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) return __pyx_r; } -/* "View.MemoryView":345 +/* "View.MemoryView":344 * cdef __Pyx_TypeInfo *typeinfo * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< @@ -5724,7 +4805,7 @@ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_ar case 1: if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_flags)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); __PYX_ERR(1, 345, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); __PYX_ERR(1, 344, __pyx_L3_error) } CYTHON_FALLTHROUGH; case 2: @@ -5734,7 +4815,7 @@ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_ar } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(1, 345, __pyx_L3_error) + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(1, 344, __pyx_L3_error) } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { @@ -5747,16 +4828,16 @@ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_ar } } __pyx_v_obj = values[0]; - __pyx_v_flags = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 345, __pyx_L3_error) + __pyx_v_flags = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 344, __pyx_L3_error) if (values[2]) { - __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 345, __pyx_L3_error) + __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 344, __pyx_L3_error) } else { __pyx_v_dtype_is_object = ((int)0); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(1, 345, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(1, 344, __pyx_L3_error) __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); @@ -5778,7 +4859,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ int __pyx_t_4; __Pyx_RefNannySetupContext("__cinit__", 0); - /* "View.MemoryView":346 + /* "View.MemoryView":345 * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj # <<<<<<<<<<<<<< @@ -5791,7 +4872,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __Pyx_DECREF(__pyx_v_self->obj); __pyx_v_self->obj = __pyx_v_obj; - /* "View.MemoryView":347 + /* "View.MemoryView":346 * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj * self.flags = flags # <<<<<<<<<<<<<< @@ -5800,7 +4881,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->flags = __pyx_v_flags; - /* "View.MemoryView":348 + /* "View.MemoryView":347 * self.obj = obj * self.flags = flags * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< @@ -5820,16 +4901,16 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_L4_bool_binop_done:; if (__pyx_t_1) { - /* "View.MemoryView":349 + /* "View.MemoryView":348 * self.flags = flags * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) # <<<<<<<<<<<<<< * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None */ - __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 349, __pyx_L1_error) + __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 348, __pyx_L1_error) - /* "View.MemoryView":350 + /* "View.MemoryView":349 * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: # <<<<<<<<<<<<<< @@ -5839,7 +4920,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0); if (__pyx_t_1) { - /* "View.MemoryView":351 + /* "View.MemoryView":350 * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< @@ -5848,7 +4929,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; - /* "View.MemoryView":352 + /* "View.MemoryView":351 * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< @@ -5857,7 +4938,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ Py_INCREF(Py_None); - /* "View.MemoryView":350 + /* "View.MemoryView":349 * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: # <<<<<<<<<<<<<< @@ -5866,7 +4947,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":348 + /* "View.MemoryView":347 * self.obj = obj * self.flags = flags * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< @@ -5875,7 +4956,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":355 + /* "View.MemoryView":354 * * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< @@ -5885,7 +4966,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((__pyx_memoryview_thread_locks_used < 8) != 0); if (__pyx_t_1) { - /* "View.MemoryView":356 + /* "View.MemoryView":355 * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] # <<<<<<<<<<<<<< @@ -5894,7 +4975,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->lock = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); - /* "View.MemoryView":357 + /* "View.MemoryView":356 * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] * __pyx_memoryview_thread_locks_used += 1 # <<<<<<<<<<<<<< @@ -5903,7 +4984,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used + 1); - /* "View.MemoryView":355 + /* "View.MemoryView":354 * * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< @@ -5912,7 +4993,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":358 + /* "View.MemoryView":357 * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] * __pyx_memoryview_thread_locks_used += 1 * if self.lock is NULL: # <<<<<<<<<<<<<< @@ -5922,7 +5003,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); if (__pyx_t_1) { - /* "View.MemoryView":359 + /* "View.MemoryView":358 * __pyx_memoryview_thread_locks_used += 1 * if self.lock is NULL: * self.lock = PyThread_allocate_lock() # <<<<<<<<<<<<<< @@ -5931,7 +5012,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->lock = PyThread_allocate_lock(); - /* "View.MemoryView":360 + /* "View.MemoryView":359 * if self.lock is NULL: * self.lock = PyThread_allocate_lock() * if self.lock is NULL: # <<<<<<<<<<<<<< @@ -5941,16 +5022,16 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); if (unlikely(__pyx_t_1)) { - /* "View.MemoryView":361 + /* "View.MemoryView":360 * self.lock = PyThread_allocate_lock() * if self.lock is NULL: * raise MemoryError # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ - PyErr_NoMemory(); __PYX_ERR(1, 361, __pyx_L1_error) + PyErr_NoMemory(); __PYX_ERR(1, 360, __pyx_L1_error) - /* "View.MemoryView":360 + /* 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self.view.format[1] == b'\0') # <<<<<<<<<<<<<< @@ -5996,7 +5077,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_L11_bool_binop_done:; __pyx_v_self->dtype_is_object = __pyx_t_1; - /* "View.MemoryView":363 + /* "View.MemoryView":362 * raise MemoryError * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< @@ -6006,7 +5087,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ goto __pyx_L10; } - /* "View.MemoryView":366 + /* "View.MemoryView":365 * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') * else: * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< @@ -6018,7 +5099,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ } __pyx_L10:; - /* "View.MemoryView":368 + /* "View.MemoryView":367 * self.dtype_is_object = dtype_is_object * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< @@ -6027,7 +5108,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->acquisition_count_aligned_p = ((__pyx_atomic_int *)__pyx_align_pointer(((void *)(&(__pyx_v_self->acquisition_count[0]))), (sizeof(__pyx_atomic_int)))); - /* "View.MemoryView":370 + /* "View.MemoryView":369 * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL # <<<<<<<<<<<<<< @@ -6036,7 +5117,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->typeinfo = NULL; - /* "View.MemoryView":345 + /* "View.MemoryView":344 * cdef __Pyx_TypeInfo *typeinfo * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< @@ -6055,7 +5136,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ return __pyx_r; } -/* "View.MemoryView":372 +/* "View.MemoryView":371 * self.typeinfo = NULL * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< @@ -6086,7 +5167,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal PyThread_type_lock __pyx_t_7; __Pyx_RefNannySetupContext("__dealloc__", 0); - /* "View.MemoryView":373 + /* "View.MemoryView":372 * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< @@ -6097,7 +5178,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { - /* "View.MemoryView":374 + /* "View.MemoryView":373 * def __dealloc__(memoryview self): * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< @@ -6106,7 +5187,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ __Pyx_ReleaseBuffer((&__pyx_v_self->view)); - /* "View.MemoryView":373 + /* "View.MemoryView":372 * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< @@ -6115,7 +5196,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ } - /* "View.MemoryView":378 + /* "View.MemoryView":377 * cdef int i * global __pyx_memoryview_thread_locks_used * if self.lock != NULL: # <<<<<<<<<<<<<< @@ -6125,7 +5206,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = ((__pyx_v_self->lock != NULL) != 0); if (__pyx_t_2) { - /* "View.MemoryView":379 + /* "View.MemoryView":378 * global __pyx_memoryview_thread_locks_used * if self.lock != NULL: * for i in range(__pyx_memoryview_thread_locks_used): # <<<<<<<<<<<<<< @@ -6137,7 +5218,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; - /* "View.MemoryView":380 + /* "View.MemoryView":379 * if self.lock != NULL: * for i in range(__pyx_memoryview_thread_locks_used): * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< @@ -6147,7 +5228,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = (((__pyx_memoryview_thread_locks[__pyx_v_i]) == __pyx_v_self->lock) != 0); if (__pyx_t_2) { - /* "View.MemoryView":381 + /* "View.MemoryView":380 * for i in range(__pyx_memoryview_thread_locks_used): * if __pyx_memoryview_thread_locks[i] is self.lock: * __pyx_memoryview_thread_locks_used -= 1 # <<<<<<<<<<<<<< @@ -6156,7 +5237,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used - 1); - /* "View.MemoryView":382 + /* "View.MemoryView":381 * if __pyx_memoryview_thread_locks[i] is self.lock: * __pyx_memoryview_thread_locks_used -= 1 * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< @@ -6166,7 +5247,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = ((__pyx_v_i != __pyx_memoryview_thread_locks_used) != 0); if (__pyx_t_2) { - /* "View.MemoryView":384 + /* "View.MemoryView":383 * if i != __pyx_memoryview_thread_locks_used: * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) # <<<<<<<<<<<<<< @@ -6176,7 +5257,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_6 = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); __pyx_t_7 = (__pyx_memoryview_thread_locks[__pyx_v_i]); - /* "View.MemoryView":383 + /* "View.MemoryView":382 * __pyx_memoryview_thread_locks_used -= 1 * if i != __pyx_memoryview_thread_locks_used: * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( # <<<<<<<<<<<<<< @@ -6186,7 +5267,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal (__pyx_memoryview_thread_locks[__pyx_v_i]) = __pyx_t_6; (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]) = __pyx_t_7; - /* "View.MemoryView":382 + /* "View.MemoryView":381 * if __pyx_memoryview_thread_locks[i] is self.lock: * __pyx_memoryview_thread_locks_used -= 1 * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< @@ -6195,7 +5276,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ } - /* "View.MemoryView":385 + /* "View.MemoryView":384 * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) * break # <<<<<<<<<<<<<< @@ -6204,7 +5285,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ goto __pyx_L6_break; - /* "View.MemoryView":380 + /* "View.MemoryView":379 * if self.lock != NULL: * for i in range(__pyx_memoryview_thread_locks_used): * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< @@ -6215,7 +5296,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal } /*else*/ { - /* "View.MemoryView":387 + /* "View.MemoryView":386 * break * else: * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< @@ -6226,7 +5307,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal } __pyx_L6_break:; - /* "View.MemoryView":378 + /* "View.MemoryView":377 * cdef int i * global __pyx_memoryview_thread_locks_used * if self.lock != NULL: # <<<<<<<<<<<<<< @@ -6235,7 +5316,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ } - /* "View.MemoryView":372 + /* "View.MemoryView":371 * self.typeinfo = NULL * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< @@ -6247,7 +5328,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __Pyx_RefNannyFinishContext(); } -/* "View.MemoryView":389 +/* "View.MemoryView":388 * PyThread_free_lock(self.lock) * * cdef char 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PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 393, __pyx_L1_error) + __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 392, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); - __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 393, __pyx_L1_error) + __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 392, __pyx_L1_error) } for (;;) { if (likely(!__pyx_t_4)) { if (likely(PyList_CheckExact(__pyx_t_2))) { if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break; #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 393, __pyx_L1_error) + __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 392, __pyx_L1_error) #else - __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 393, __pyx_L1_error) + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 392, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); #endif } else { if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break; #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 393, __pyx_L1_error) + __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 392, __pyx_L1_error) #else - __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 393, __pyx_L1_error) + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 392, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); #endif } @@ -6320,7 +5401,7 @@ static char 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(unlikely(!__pyx_t_7)) __PYX_ERR(1, 430, __pyx_L4_error) + __pyx_t_7 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryview_type), __pyx_t_8, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(1, 429, __pyx_L4_error) __Pyx_GOTREF(__pyx_t_7); __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_DECREF_SET(__pyx_v_obj, __pyx_t_7); __pyx_t_7 = 0; - /* "View.MemoryView":429 + /* "View.MemoryView":428 * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): * try: # <<<<<<<<<<<<<< - * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) */ } @@ -6904,8 +5985,8 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; - /* "View.MemoryView":432 - * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + /* "View.MemoryView":431 + * obj = memoryview(obj, 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"View.MemoryView":429 + /* "View.MemoryView":428 * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): * try: # <<<<<<<<<<<<<< - * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) */ __Pyx_XGIVEREF(__pyx_t_3); @@ -6957,16 +6038,16 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ __pyx_L9_try_end:; } - /* "View.MemoryView":428 + /* "View.MemoryView":427 * * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): # <<<<<<<<<<<<<< * try: - * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, + * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, */ } - /* "View.MemoryView":435 + /* "View.MemoryView":434 * return None * * return obj # <<<<<<<<<<<<<< @@ -6978,7 +6059,7 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ __pyx_r = __pyx_v_obj; goto __pyx_L0; - /* 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__Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 443, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_src, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 442, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); - __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 443, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_2 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 442, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dst, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 443, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_dst, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 442, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); - __pyx_t_3 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 443, __pyx_L1_error) + __pyx_t_3 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 442, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "View.MemoryView":441 + /* "View.MemoryView":440 * cdef __Pyx_memviewslice src_slice * * memoryview_copy_contents(get_slice_from_memview(src, &src_slice)[0], # <<<<<<<<<<<<<< * get_slice_from_memview(dst, &dst_slice)[0], * src.ndim, dst.ndim, self.dtype_is_object) */ - __pyx_t_4 = __pyx_memoryview_copy_contents((__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_src), (&__pyx_v_src_slice))[0]), (__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj *)__pyx_v_dst), (&__pyx_v_dst_slice))[0]), __pyx_t_2, __pyx_t_3, __pyx_v_self->dtype_is_object); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 441, __pyx_L1_error) + __pyx_t_4 = __pyx_memoryview_copy_contents((__pyx_memoryview_get_slice_from_memoryview(((struct __pyx_memoryview_obj 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!= 0); if (__pyx_t_1) { - /* "View.MemoryView":455 + /* "View.MemoryView":454 * * if self.view.itemsize > sizeof(array): * tmp = PyMem_Malloc(self.view.itemsize) # <<<<<<<<<<<<<< @@ -7149,7 +6230,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor */ __pyx_v_tmp = PyMem_Malloc(__pyx_v_self->view.itemsize); - /* "View.MemoryView":456 + /* "View.MemoryView":455 * if self.view.itemsize > sizeof(array): * tmp = PyMem_Malloc(self.view.itemsize) * if tmp == NULL: # <<<<<<<<<<<<<< @@ -7159,16 +6240,16 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor __pyx_t_1 = ((__pyx_v_tmp == NULL) != 0); if (unlikely(__pyx_t_1)) { - /* "View.MemoryView":457 + /* "View.MemoryView":456 * tmp = PyMem_Malloc(self.view.itemsize) * if tmp == NULL: * raise MemoryError # <<<<<<<<<<<<<< * item = tmp * else: */ - PyErr_NoMemory(); __PYX_ERR(1, 457, __pyx_L1_error) + PyErr_NoMemory(); __PYX_ERR(1, 456, __pyx_L1_error) - /* "View.MemoryView":456 + /* 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} __pyx_L3:; - /* "View.MemoryView":462 + /* "View.MemoryView":461 * item = array * * try: # <<<<<<<<<<<<<< @@ -7217,7 +6298,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor */ /*try:*/ { - /* "View.MemoryView":463 + /* "View.MemoryView":462 * * try: * if self.dtype_is_object: # <<<<<<<<<<<<<< @@ -7227,7 +6308,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor __pyx_t_1 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_1) { - /* "View.MemoryView":464 + /* "View.MemoryView":463 * try: * if self.dtype_is_object: * ( item)[0] = value # <<<<<<<<<<<<<< @@ -7236,7 +6317,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor */ (((PyObject **)__pyx_v_item)[0]) = ((PyObject *)__pyx_v_value); - /* "View.MemoryView":463 + /* "View.MemoryView":462 * * try: * if self.dtype_is_object: # <<<<<<<<<<<<<< @@ -7246,7 +6327,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct 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__pyx_memor */ } - /* "View.MemoryView":472 + /* "View.MemoryView":471 * if self.view.suboffsets != NULL: * assert_direct_dimensions(self.view.suboffsets, self.view.ndim) * slice_assign_scalar(dst_slice, dst.view.ndim, self.view.itemsize, # <<<<<<<<<<<<<< @@ -7300,7 +6381,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor __pyx_memoryview_slice_assign_scalar(__pyx_v_dst_slice, __pyx_v_dst->view.ndim, __pyx_v_self->view.itemsize, __pyx_v_item, __pyx_v_self->dtype_is_object); } - /* "View.MemoryView":475 + /* "View.MemoryView":474 * item, self.dtype_is_object) * finally: * PyMem_Free(tmp) # <<<<<<<<<<<<<< @@ -7347,7 +6428,7 @@ static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memor __pyx_L7:; } - /* "View.MemoryView":445 + /* "View.MemoryView":444 * src.ndim, dst.ndim, self.dtype_is_object) * * cdef setitem_slice_assign_scalar(self, memoryview dst, value): # <<<<<<<<<<<<<< @@ -7368,7 +6449,7 @@ static PyObject 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flags|PyBUF_C_CONTIGUOUS, */ - __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_mslice), ((char *)"c"), __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_C_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) __PYX_ERR(1, 632, __pyx_L1_error) + __pyx_t_1 = __pyx_memoryview_copy_new_contig((&__pyx_v_mslice), ((char *)"c"), __pyx_v_self->view.ndim, __pyx_v_self->view.itemsize, (__pyx_v_flags | PyBUF_C_CONTIGUOUS), __pyx_v_self->dtype_is_object); if (unlikely(PyErr_Occurred())) __PYX_ERR(1, 631, __pyx_L1_error) __pyx_v_mslice = __pyx_t_1; - /* "View.MemoryView":637 + /* "View.MemoryView":636 * self.dtype_is_object) * * return memoryview_copy_from_slice(self, &mslice) # <<<<<<<<<<<<<< @@ -9508,13 +8589,13 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20 * def copy_fortran(self): */ __Pyx_XDECREF(__pyx_r); - __pyx_t_2 = __pyx_memoryview_copy_object_from_slice(__pyx_v_self, (&__pyx_v_mslice)); if 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__pyx_memoryview_ __pyx_L11_bool_binop_done:; __pyx_v_step = __pyx_t_10; - /* "View.MemoryView":760 + /* "View.MemoryView":759 * step = index.step or 0 * * have_start = index.start is not None # <<<<<<<<<<<<<< * have_stop = index.stop is not None * have_step = index.step is not None */ - __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_start); if (unlikely(!__pyx_t_9)) __PYX_ERR(1, 760, __pyx_L1_error) + __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_start); if (unlikely(!__pyx_t_9)) __PYX_ERR(1, 759, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_9); __pyx_t_1 = (__pyx_t_9 != Py_None); __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0; __pyx_v_have_start = __pyx_t_1; - /* "View.MemoryView":761 + /* "View.MemoryView":760 * * have_start = index.start is not None * have_stop = index.stop is not None # <<<<<<<<<<<<<< * have_step = index.step is not None * */ - __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_index, __pyx_n_s_stop); if (unlikely(!__pyx_t_9)) __PYX_ERR(1, 761, 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slice_memviewslice( # <<<<<<<<<<<<<< * p_dst, p_src.shape[dim], p_src.strides[dim], p_src.suboffsets[dim], * dim, new_ndim, p_suboffset_dim, */ - __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_v_start, __pyx_v_stop, __pyx_v_step, __pyx_v_have_start, __pyx_v_have_stop, __pyx_v_have_step, 1); if (unlikely(__pyx_t_11 == ((int)-1))) __PYX_ERR(1, 764, __pyx_L1_error) + __pyx_t_11 = __pyx_memoryview_slice_memviewslice(__pyx_v_p_dst, (__pyx_v_p_src->shape[__pyx_v_dim]), (__pyx_v_p_src->strides[__pyx_v_dim]), (__pyx_v_p_src->suboffsets[__pyx_v_dim]), __pyx_v_dim, __pyx_v_new_ndim, __pyx_v_p_suboffset_dim, __pyx_v_start, __pyx_v_stop, __pyx_v_step, __pyx_v_have_start, __pyx_v_have_stop, __pyx_v_have_step, 1); if (unlikely(__pyx_t_11 == ((int)-1))) __PYX_ERR(1, 763, __pyx_L1_error) - /* 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__pyx_L1_error) } + if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(1, 774, __pyx_L1_error) } - /* "View.MemoryView":773 + /* "View.MemoryView":772 * * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, */ - __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 773, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 772, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); - if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 773, __pyx_L1_error) + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 772, __pyx_L1_error) __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; - /* "View.MemoryView":772 + /* "View.MemoryView":771 * new_ndim += 1 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -10920,7 +10001,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ */ } - /* "View.MemoryView":778 + /* "View.MemoryView":777 * memview.dtype_is_object) * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< @@ -10930,30 +10011,30 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /*else*/ { __Pyx_XDECREF(((PyObject *)__pyx_r)); - /* "View.MemoryView":779 + /* "View.MemoryView":778 * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ - __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 778, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 777, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); - /* "View.MemoryView":778 + /* "View.MemoryView":777 * memview.dtype_is_object) * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< * memview.dtype_is_object) * */ - if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 778, __pyx_L1_error) + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 777, __pyx_L1_error) __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; } - /* "View.MemoryView":706 + /* "View.MemoryView":705 * * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< @@ -10975,7 +10056,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ return __pyx_r; } -/* "View.MemoryView":803 +/* "View.MemoryView":802 * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< @@ -10991,7 +10072,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, int __pyx_t_2; int __pyx_t_3; - /* "View.MemoryView":823 + /* "View.MemoryView":822 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< @@ -11001,7 +10082,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_1) { - /* "View.MemoryView":825 + /* "View.MemoryView":824 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< @@ -11011,7 +10092,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_1 = ((__pyx_v_start < 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":826 + /* "View.MemoryView":825 * * if start < 0: * start += shape # <<<<<<<<<<<<<< @@ -11020,7 +10101,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); - /* "View.MemoryView":825 + /* "View.MemoryView":824 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< @@ -11029,7 +10110,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":827 + /* "View.MemoryView":826 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< @@ -11043,16 +10124,16 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":828 + /* "View.MemoryView":827 * start += shape * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: * */ - __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 828, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 827, __pyx_L1_error) - /* "View.MemoryView":827 + /* "View.MemoryView":826 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< @@ -11061,7 +10142,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":823 + /* "View.MemoryView":822 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< @@ -11071,7 +10152,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L3; } - /* "View.MemoryView":831 + /* "View.MemoryView":830 * else: * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< @@ -11090,7 +10171,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_L6_bool_binop_done:; __pyx_v_negative_step = __pyx_t_2; - /* "View.MemoryView":833 + /* "View.MemoryView":832 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< @@ -11108,16 +10189,16 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_L9_bool_binop_done:; if (__pyx_t_2) { - /* "View.MemoryView":834 + /* "View.MemoryView":833 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ - __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 834, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 833, __pyx_L1_error) - /* "View.MemoryView":833 + /* "View.MemoryView":832 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< @@ -11126,7 +10207,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":837 + /* "View.MemoryView":836 * * * if have_start: # <<<<<<<<<<<<<< @@ -11136,7 +10217,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { - /* "View.MemoryView":838 + /* "View.MemoryView":837 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< @@ -11146,7 +10227,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":839 + /* "View.MemoryView":838 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< @@ -11155,7 +10236,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); - /* "View.MemoryView":840 + /* "View.MemoryView":839 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< @@ -11165,7 +10246,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":841 + /* "View.MemoryView":840 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< @@ -11174,7 +10255,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = 0; - /* "View.MemoryView":840 + /* "View.MemoryView":839 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< @@ -11183,7 +10264,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":838 + /* "View.MemoryView":837 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< @@ -11193,7 +10274,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L12; } - /* "View.MemoryView":842 + /* "View.MemoryView":841 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< @@ -11203,7 +10284,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { - /* "View.MemoryView":843 + /* "View.MemoryView":842 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< @@ -11213,7 +10294,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { - /* "View.MemoryView":844 + /* "View.MemoryView":843 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< @@ -11222,7 +10303,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_shape - 1); - /* "View.MemoryView":843 + /* "View.MemoryView":842 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< @@ -11232,7 +10313,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L14; } - /* "View.MemoryView":846 + /* "View.MemoryView":845 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< @@ -11244,7 +10325,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L14:; - /* "View.MemoryView":842 + /* "View.MemoryView":841 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< @@ -11254,7 +10335,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L12:; - /* "View.MemoryView":837 + /* "View.MemoryView":836 * * * if have_start: # <<<<<<<<<<<<<< @@ -11264,7 +10345,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L11; } - /* "View.MemoryView":848 + /* "View.MemoryView":847 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -11275,7 +10356,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { - /* "View.MemoryView":849 + /* "View.MemoryView":848 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< @@ -11284,7 +10365,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_shape - 1); - /* "View.MemoryView":848 + /* "View.MemoryView":847 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -11294,7 +10375,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L15; } - /* "View.MemoryView":851 + /* "View.MemoryView":850 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< @@ -11308,7 +10389,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L11:; - /* "View.MemoryView":853 + /* "View.MemoryView":852 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< @@ -11318,7 +10399,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { - /* "View.MemoryView":854 + /* "View.MemoryView":853 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< @@ -11328,7 +10409,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":855 + /* "View.MemoryView":854 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< @@ -11337,7 +10418,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); - /* "View.MemoryView":856 + /* "View.MemoryView":855 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< @@ -11347,7 +10428,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":857 + /* "View.MemoryView":856 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< @@ -11356,7 +10437,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = 0; - /* "View.MemoryView":856 + /* "View.MemoryView":855 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< @@ -11365,7 +10446,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":854 + /* "View.MemoryView":853 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< @@ -11375,7 +10456,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L17; } - /* "View.MemoryView":858 + /* "View.MemoryView":857 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< @@ -11385,7 +10466,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { - /* "View.MemoryView":859 + /* "View.MemoryView":858 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< @@ -11394,7 +10475,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = __pyx_v_shape; - /* "View.MemoryView":858 + /* "View.MemoryView":857 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< @@ -11404,7 +10485,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L17:; - /* "View.MemoryView":853 + /* "View.MemoryView":852 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< @@ -11414,7 +10495,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L16; } - /* "View.MemoryView":861 + /* "View.MemoryView":860 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -11425,7 +10506,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { - /* "View.MemoryView":862 + /* "View.MemoryView":861 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< @@ -11434,7 +10515,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = -1L; - /* "View.MemoryView":861 + /* "View.MemoryView":860 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -11444,7 +10525,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L19; } - /* "View.MemoryView":864 + /* "View.MemoryView":863 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< @@ -11458,7 +10539,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L16:; - /* "View.MemoryView":866 + /* "View.MemoryView":865 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< @@ -11468,7 +10549,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":867 + /* "View.MemoryView":866 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< @@ -11477,7 +10558,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_step = 1; - /* "View.MemoryView":866 + /* "View.MemoryView":865 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< @@ -11486,7 +10567,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":871 + /* "View.MemoryView":870 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< @@ -11495,7 +10576,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); - /* "View.MemoryView":873 + /* "View.MemoryView":872 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< @@ -11505,7 +10586,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":874 + /* "View.MemoryView":873 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< @@ -11514,7 +10595,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); - /* "View.MemoryView":873 + /* "View.MemoryView":872 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< @@ -11523,7 +10604,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":876 + /* "View.MemoryView":875 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< @@ -11533,7 +10614,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":877 + /* "View.MemoryView":876 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< @@ -11542,7 +10623,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_new_shape = 0; - /* "View.MemoryView":876 + /* "View.MemoryView":875 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< @@ -11551,7 +10632,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":880 + /* "View.MemoryView":879 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< @@ -11560,7 +10641,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); - /* "View.MemoryView":881 + /* "View.MemoryView":880 * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< @@ -11569,7 +10650,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; - /* "View.MemoryView":882 + /* "View.MemoryView":881 * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< @@ -11580,7 +10661,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L3:; - /* "View.MemoryView":885 + /* "View.MemoryView":884 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< @@ -11590,7 +10671,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":886 + /* "View.MemoryView":885 * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< @@ -11599,7 +10680,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); - /* "View.MemoryView":885 + /* "View.MemoryView":884 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< @@ -11609,7 +10690,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L23; } - /* "View.MemoryView":888 + /* "View.MemoryView":887 * dst.data += start * stride * else: * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< @@ -11622,7 +10703,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L23:; - /* "View.MemoryView":890 + /* "View.MemoryView":889 * dst.suboffsets[suboffset_dim[0]] += start * stride * * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -11632,7 +10713,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":891 + /* "View.MemoryView":890 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< @@ -11642,7 +10723,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":892 + /* "View.MemoryView":891 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< @@ -11652,7 +10733,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":893 + /* "View.MemoryView":892 * if not is_slice: * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< @@ -11661,7 +10742,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); - /* "View.MemoryView":892 + /* "View.MemoryView":891 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< @@ -11671,7 +10752,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L26; } - /* "View.MemoryView":895 + /* "View.MemoryView":894 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+ /* "View.MemoryView":802 * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< @@ -11756,7 +10837,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, return __pyx_r; } -/* "View.MemoryView":906 +/* "View.MemoryView":905 * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< @@ -11778,7 +10859,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P PyObject *__pyx_t_4 = NULL; __Pyx_RefNannySetupContext("pybuffer_index", 0); - /* "View.MemoryView":908 + /* "View.MemoryView":907 * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, * Py_ssize_t dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 # <<<<<<<<<<<<<< @@ -11787,7 +10868,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P */ __pyx_v_suboffset = -1L; - /* "View.MemoryView":909 + /* 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= __pyx_t_2; - /* "View.MemoryView":943 + /* "View.MemoryView":942 * * cdef Py_ssize_t *shape = memslice.shape * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< @@ -12117,7 +11198,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { __pyx_t_2 = __pyx_v_memslice->strides; __pyx_v_strides = __pyx_t_2; - /* "View.MemoryView":947 + /* "View.MemoryView":946 * * cdef int i, j * for i in range(ndim / 2): # <<<<<<<<<<<<<< @@ -12129,7 +11210,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_4; __pyx_t_1+=1) { __pyx_v_i = __pyx_t_1; - /* "View.MemoryView":948 + /* "View.MemoryView":947 * cdef int i, j * for i in range(ndim / 2): * j = ndim - 1 - i # <<<<<<<<<<<<<< @@ -12138,7 +11219,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { */ __pyx_v_j = ((__pyx_v_ndim - 1) - __pyx_v_i); - /* "View.MemoryView":949 + /* "View.MemoryView":948 * for i in range(ndim 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*__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo * @property */ /*else*/ { - __pyx_t_3 = __pyx_memoryview_assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 985, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 984, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __pyx_L3:; - /* "View.MemoryView":981 + /* "View.MemoryView":980 * return memoryview.convert_item_to_object(self, itemp) * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< @@ -12440,7 +11521,7 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo return __pyx_r; } -/* "View.MemoryView":988 +/* "View.MemoryView":987 * * @property * def base(self): # <<<<<<<<<<<<<< @@ -12466,7 +11547,7 @@ 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__pyx_t_2); __pyx_t_2 = 0; - __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryviewslice_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1009, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryviewslice_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1008, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_2); __pyx_t_2 = 0; - /* "View.MemoryView":1011 + /* "View.MemoryView":1010 * result = _memoryviewslice(None, 0, dtype_is_object) * * result.from_slice = memviewslice # <<<<<<<<<<<<<< @@ -12690,7 +11771,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->from_slice = __pyx_v_memviewslice; - /* "View.MemoryView":1012 + /* "View.MemoryView":1011 * * result.from_slice = memviewslice * __PYX_INC_MEMVIEW(&memviewslice, 1) # <<<<<<<<<<<<<< @@ -12699,14 +11780,14 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __PYX_INC_MEMVIEW((&__pyx_v_memviewslice), 1); - /* "View.MemoryView":1014 + /* "View.MemoryView":1013 * __PYX_INC_MEMVIEW(&memviewslice, 1) * * result.from_object = ( memviewslice.memview).base # <<<<<<<<<<<<<< * result.typeinfo = memviewslice.memview.typeinfo * */ - __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s_base); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1014, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_memviewslice.memview), __pyx_n_s_base); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1013, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __Pyx_GOTREF(__pyx_v_result->from_object); @@ -12714,7 +11795,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_v_result->from_object = __pyx_t_2; __pyx_t_2 = 0; - /* "View.MemoryView":1015 + /* "View.MemoryView":1014 * * result.from_object = ( 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*)__pyx_v_result->from_slice.strides); - /* "View.MemoryView":1032 + /* "View.MemoryView":1031 * * * result.view.suboffsets = NULL # <<<<<<<<<<<<<< @@ -12838,7 +11919,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.suboffsets = NULL; - /* "View.MemoryView":1033 + /* "View.MemoryView":1032 * * result.view.suboffsets = NULL * for suboffset in result.from_slice.suboffsets[:ndim]: # <<<<<<<<<<<<<< @@ -12850,7 +11931,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_6 = __pyx_t_8; __pyx_v_suboffset = (__pyx_t_6[0]); - /* "View.MemoryView":1034 + /* "View.MemoryView":1033 * result.view.suboffsets = NULL * for suboffset in result.from_slice.suboffsets[:ndim]: * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -12860,7 +11941,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_1 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1035 + /* "View.MemoryView":1034 * for suboffset in result.from_slice.suboffsets[:ndim]: * if suboffset >= 0: * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< @@ -12869,7 +11950,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); - /* "View.MemoryView":1036 + /* "View.MemoryView":1035 * if suboffset >= 0: * result.view.suboffsets = result.from_slice.suboffsets * break # <<<<<<<<<<<<<< @@ -12878,7 +11959,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ goto __pyx_L6_break; - /* "View.MemoryView":1034 + /* "View.MemoryView":1033 * result.view.suboffsets = NULL * for suboffset in result.from_slice.suboffsets[:ndim]: * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -12889,7 +11970,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl } __pyx_L6_break:; - /* "View.MemoryView":1038 + /* "View.MemoryView":1037 * break * * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< @@ -12899,7 +11980,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_9 = __pyx_v_result->__pyx_base.view.itemsize; __pyx_v_result->__pyx_base.view.len = __pyx_t_9; - /* "View.MemoryView":1039 + /* "View.MemoryView":1038 * * result.view.len = result.view.itemsize * for length in result.view.shape[:ndim]: # <<<<<<<<<<<<<< @@ -12909,29 +11990,29 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_7 = (__pyx_v_result->__pyx_base.view.shape + __pyx_v_ndim); for (__pyx_t_8 = __pyx_v_result->__pyx_base.view.shape; __pyx_t_8 < __pyx_t_7; __pyx_t_8++) { __pyx_t_6 = __pyx_t_8; - __pyx_t_2 = PyInt_FromSsize_t((__pyx_t_6[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1039, __pyx_L1_error) + __pyx_t_2 = PyInt_FromSsize_t((__pyx_t_6[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1038, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_2); __pyx_t_2 = 0; - /* "View.MemoryView":1040 + /* "View.MemoryView":1039 * result.view.len = result.view.itemsize * for length in result.view.shape[:ndim]: * result.view.len *= length # <<<<<<<<<<<<<< * * result.to_object_func = to_object_func */ - __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_result->__pyx_base.view.len); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1040, __pyx_L1_error) + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_result->__pyx_base.view.len); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1039, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); - __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_t_2, __pyx_v_length); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 1040, __pyx_L1_error) + __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_t_2, __pyx_v_length); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 1039, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_3); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 1040, __pyx_L1_error) + __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_3); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 1039, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_result->__pyx_base.view.len = __pyx_t_9; } - /* "View.MemoryView":1042 + /* "View.MemoryView":1041 * result.view.len *= length * * result.to_object_func = to_object_func # <<<<<<<<<<<<<< @@ -12940,7 +12021,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->to_object_func = __pyx_v_to_object_func; - /* "View.MemoryView":1043 + /* "View.MemoryView":1042 * * result.to_object_func = to_object_func * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< @@ -12949,7 +12030,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; - /* "View.MemoryView":1045 + /* "View.MemoryView":1044 * result.to_dtype_func = to_dtype_func * * return result # <<<<<<<<<<<<<< @@ -12961,7 +12042,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; - /* "View.MemoryView":995 + /* "View.MemoryView":994 * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< @@ -12983,7 +12064,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl return __pyx_r; } -/* "View.MemoryView":1048 +/* "View.MemoryView":1047 * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< @@ -13000,7 +12081,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p PyObject *__pyx_t_3 = NULL; __Pyx_RefNannySetupContext("get_slice_from_memview", 0); - /* "View.MemoryView":1051 + /* "View.MemoryView":1050 * 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"View.MemoryView":1053 + /* "View.MemoryView":1052 * if isinstance(memview, _memoryviewslice): * obj = memview * return &obj.from_slice # <<<<<<<<<<<<<< @@ -13034,7 +12115,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p __pyx_r = (&__pyx_v_obj->from_slice); goto __pyx_L0; - /* "View.MemoryView":1051 + /* "View.MemoryView":1050 * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -13043,7 +12124,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p */ } - /* "View.MemoryView":1055 + /* "View.MemoryView":1054 * return &obj.from_slice * else: * slice_copy(memview, mslice) # <<<<<<<<<<<<<< @@ -13053,7 +12134,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p /*else*/ { __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); - /* "View.MemoryView":1056 + /* "View.MemoryView":1055 * else: * slice_copy(memview, mslice) * return mslice # <<<<<<<<<<<<<< @@ -13064,7 +12145,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p goto __pyx_L0; } - /* "View.MemoryView":1048 + /* "View.MemoryView":1047 * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< @@ -13083,7 +12164,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p return __pyx_r; } -/* "View.MemoryView":1059 +/* "View.MemoryView":1058 * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< @@ -13104,7 +12185,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem Py_ssize_t __pyx_t_5; __Pyx_RefNannySetupContext("slice_copy", 0); - /* "View.MemoryView":1063 + /* "View.MemoryView":1062 * cdef (Py_ssize_t*) shape, strides, suboffsets * * shape = memview.view.shape # <<<<<<<<<<<<<< @@ -13114,7 +12195,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_t_1 = __pyx_v_memview->view.shape; __pyx_v_shape = __pyx_t_1; - /* "View.MemoryView":1064 + /* "View.MemoryView":1063 * * shape = memview.view.shape * strides = memview.view.strides # <<<<<<<<<<<<<< @@ -13124,7 +12205,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_t_1 = __pyx_v_memview->view.strides; __pyx_v_strides = __pyx_t_1; - /* "View.MemoryView":1065 + /* "View.MemoryView":1064 * shape = memview.view.shape * strides = memview.view.strides * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< @@ -13134,7 +12215,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_t_1 = __pyx_v_memview->view.suboffsets; __pyx_v_suboffsets = __pyx_t_1; - /* "View.MemoryView":1067 + /* "View.MemoryView":1066 * suboffsets = memview.view.suboffsets * * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< @@ -13143,7 +12224,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); - /* "View.MemoryView":1068 + /* "View.MemoryView":1067 * * dst.memview = <__pyx_memoryview *> memview * dst.data = memview.view.buf # <<<<<<<<<<<<<< @@ -13152,7 +12233,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); - /* "View.MemoryView":1070 + /* "View.MemoryView":1069 * dst.data = memview.view.buf * * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< @@ -13164,7 +12245,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_dim = __pyx_t_4; - /* "View.MemoryView":1071 + /* "View.MemoryView":1070 * * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< @@ -13173,7 +12254,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]); - /* "View.MemoryView":1072 + /* "View.MemoryView":1071 * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< @@ -13182,7 +12263,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); - /* "View.MemoryView":1073 + /* "View.MemoryView":1072 * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 # <<<<<<<<<<<<<< @@ -13197,7 +12278,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem (__pyx_v_dst->suboffsets[__pyx_v_dim]) = __pyx_t_5; } - /* "View.MemoryView":1059 + /* "View.MemoryView":1058 * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< @@ -13209,7 +12290,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __Pyx_RefNannyFinishContext(); } -/* "View.MemoryView":1076 +/* "View.MemoryView":1075 * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< @@ -13224,7 +12305,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("memoryview_copy", 0); - /* "View.MemoryView":1079 + /* "View.MemoryView":1078 * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< @@ -13233,7 +12314,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); - /* "View.MemoryView":1080 + /* "View.MemoryView":1079 * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< @@ -13241,13 +12322,13 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx * @cname('__pyx_memoryview_copy_object_from_slice') */ __Pyx_XDECREF(__pyx_r); - __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 1080, __pyx_L1_error) + __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 1079, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; - /* "View.MemoryView":1076 + /* "View.MemoryView":1075 * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< @@ -13266,7 +12347,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx return __pyx_r; } -/* "View.MemoryView":1083 +/* "View.MemoryView":1082 * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< @@ -13286,7 +12367,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview PyObject *__pyx_t_5 = NULL; __Pyx_RefNannySetupContext("memoryview_copy_from_slice", 0); - /* "View.MemoryView":1090 + /* "View.MemoryView":1089 * cdef int (*to_dtype_func)(char *, object) except 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -13297,7 +12378,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { - /* "View.MemoryView":1091 + /* "View.MemoryView":1090 * * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< @@ -13307,7 +12388,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; __pyx_v_to_object_func = __pyx_t_3; - /* "View.MemoryView":1092 + /* "View.MemoryView":1091 * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< @@ -13317,7 +12398,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; __pyx_v_to_dtype_func = __pyx_t_4; - /* "View.MemoryView":1090 + /* "View.MemoryView":1089 * cdef int (*to_dtype_func)(char *, object) except 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -13327,7 +12408,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview goto __pyx_L3; } - /* "View.MemoryView":1094 + /* "View.MemoryView":1093 * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: * to_object_func = NULL # <<<<<<<<<<<<<< @@ -13337,7 +12418,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview /*else*/ { __pyx_v_to_object_func = NULL; - /* "View.MemoryView":1095 + /* "View.MemoryView":1094 * else: * to_object_func = NULL * to_dtype_func = NULL # <<<<<<<<<<<<<< @@ -13348,7 +12429,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview } __pyx_L3:; - /* "View.MemoryView":1097 + /* "View.MemoryView":1096 * to_dtype_func = NULL * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< @@ -13357,20 +12438,20 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview */ __Pyx_XDECREF(__pyx_r); - /* "View.MemoryView":1099 + /* "View.MemoryView":1098 * return memoryview_fromslice(memviewslice[0], memview.view.ndim, * to_object_func, to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ - __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 1097, __pyx_L1_error) + __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 1096, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L0; - /* "View.MemoryView":1083 + /* "View.MemoryView":1082 * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< @@ -13389,7 +12470,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview return __pyx_r; } -/* "View.MemoryView":1105 +/* "View.MemoryView":1104 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< @@ -13401,7 +12482,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { Py_ssize_t __pyx_r; int __pyx_t_1; - /* "View.MemoryView":1106 + /* "View.MemoryView":1105 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< @@ -13411,7 +12492,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { __pyx_t_1 = ((__pyx_v_arg < 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1107 + /* "View.MemoryView":1106 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: * return -arg # <<<<<<<<<<<<<< @@ -13421,7 +12502,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { __pyx_r = (-__pyx_v_arg); goto __pyx_L0; - /* "View.MemoryView":1106 + /* "View.MemoryView":1105 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< @@ -13430,7 +12511,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { */ } - /* "View.MemoryView":1109 + /* "View.MemoryView":1108 * return -arg * else: * return arg # <<<<<<<<<<<<<< @@ -13442,7 +12523,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { goto __pyx_L0; } - /* "View.MemoryView":1105 + /* "View.MemoryView":1104 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< @@ -13455,7 +12536,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { return __pyx_r; } -/* "View.MemoryView":1112 +/* "View.MemoryView":1111 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< @@ -13473,7 +12554,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ int __pyx_t_3; int __pyx_t_4; - /* "View.MemoryView":1117 + /* "View.MemoryView":1116 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< @@ -13482,7 +12563,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_c_stride = 0; - /* "View.MemoryView":1118 + /* "View.MemoryView":1117 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< @@ -13491,7 +12572,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_f_stride = 0; - /* "View.MemoryView":1120 + /* "View.MemoryView":1119 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< @@ -13501,7 +12582,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; - /* "View.MemoryView":1121 + /* "View.MemoryView":1120 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -13511,7 +12592,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1122 + /* "View.MemoryView":1121 * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< @@ -13520,7 +12601,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); - /* "View.MemoryView":1123 + /* "View.MemoryView":1122 * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< @@ -13529,7 +12610,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ goto __pyx_L4_break; - /* "View.MemoryView":1121 + /* "View.MemoryView":1120 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -13540,7 +12621,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ } __pyx_L4_break:; - /* "View.MemoryView":1125 + /* "View.MemoryView":1124 * break * * for i in range(ndim): # <<<<<<<<<<<<<< @@ -13552,7 +12633,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; - /* "View.MemoryView":1126 + /* "View.MemoryView":1125 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -13562,7 +12643,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1127 + /* "View.MemoryView":1126 * for i in range(ndim): * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< @@ -13571,7 +12652,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); - /* "View.MemoryView":1128 + /* "View.MemoryView":1127 * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< @@ -13580,7 +12661,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ goto __pyx_L7_break; - /* "View.MemoryView":1126 + /* "View.MemoryView":1125 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -13591,7 +12672,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ } __pyx_L7_break:; - /* "View.MemoryView":1130 + /* "View.MemoryView":1129 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< @@ -13601,7 +12682,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1131 + /* "View.MemoryView":1130 * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< @@ -13611,7 +12692,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_r = 'C'; goto __pyx_L0; - /* "View.MemoryView":1130 + /* "View.MemoryView":1129 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< @@ -13620,7 +12701,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ } - /* "View.MemoryView":1133 + /* "View.MemoryView":1132 * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< @@ -13632,7 +12713,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ goto __pyx_L0; } - /* "View.MemoryView":1112 + /* "View.MemoryView":1111 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< @@ -13645,7 +12726,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ return __pyx_r; } -/* "View.MemoryView":1136 +/* "View.MemoryView":1135 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< @@ -13666,7 +12747,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v Py_ssize_t __pyx_t_5; Py_ssize_t __pyx_t_6; - /* "View.MemoryView":1143 + /* "View.MemoryView":1142 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< @@ -13675,7 +12756,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); - /* "View.MemoryView":1144 + /* "View.MemoryView":1143 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< @@ -13684,7 +12765,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); - /* "View.MemoryView":1145 + /* "View.MemoryView":1144 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< @@ -13693,7 +12774,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); - /* "View.MemoryView":1146 + /* "View.MemoryView":1145 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< @@ -13702,7 +12783,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); - /* "View.MemoryView":1148 + /* "View.MemoryView":1147 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< @@ -13712,7 +12793,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1149 + /* "View.MemoryView":1148 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< @@ -13732,7 +12813,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v goto __pyx_L5_bool_binop_done; } - /* "View.MemoryView":1150 + /* "View.MemoryView":1149 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< @@ -13747,7 +12828,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v __pyx_t_1 = __pyx_t_3; __pyx_L5_bool_binop_done:; - /* "View.MemoryView":1149 + /* "View.MemoryView":1148 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< @@ -13756,7 +12837,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ if (__pyx_t_1) { - /* "View.MemoryView":1151 + /* "View.MemoryView":1150 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< @@ -13765,7 +12846,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); - /* "View.MemoryView":1149 + /* "View.MemoryView":1148 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< @@ -13775,7 +12856,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v goto __pyx_L4; } - /* "View.MemoryView":1153 + /* "View.MemoryView":1152 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< @@ -13788,7 +12869,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "View.MemoryView":1154 + /* "View.MemoryView":1153 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< @@ -13797,7 +12878,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize)); - /* "View.MemoryView":1155 + /* "View.MemoryView":1154 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< @@ -13806,7 +12887,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); - /* "View.MemoryView":1156 + /* "View.MemoryView":1155 * memcpy(dst_data, src_data, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< @@ -13818,7 +12899,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v } __pyx_L4:; - /* "View.MemoryView":1148 + /* "View.MemoryView":1147 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< @@ -13828,7 +12909,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v goto __pyx_L3; } - /* "View.MemoryView":1158 + /* "View.MemoryView":1157 * dst_data += dst_stride * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< @@ -13841,7 +12922,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "View.MemoryView":1159 + /* "View.MemoryView":1158 * else: * for i in range(dst_extent): * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< @@ -13850,7 +12931,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); - /* "View.MemoryView":1163 + /* "View.MemoryView":1162 * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< @@ -13859,7 +12940,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); - /* "View.MemoryView":1164 + /* "View.MemoryView":1163 * ndim - 1, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< @@ -13871,7 +12952,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v } __pyx_L3:; - /* "View.MemoryView":1136 + /* "View.MemoryView":1135 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< @@ -13882,7 +12963,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v /* function exit code */ } -/* "View.MemoryView":1166 +/* "View.MemoryView":1165 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< @@ -13892,7 +12973,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { - /* "View.MemoryView":1169 + /* "View.MemoryView":1168 * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< @@ -13901,7 +12982,7 @@ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memvi */ _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); - /* "View.MemoryView":1166 + /* "View.MemoryView":1165 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< @@ -13912,7 +12993,7 @@ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memvi /* function exit code */ } -/* "View.MemoryView":1173 +/* "View.MemoryView":1172 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< @@ -13929,7 +13010,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr int __pyx_t_3; int __pyx_t_4; - /* "View.MemoryView":1176 + /* "View.MemoryView":1175 * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i * cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<< @@ -13939,7 +13020,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_size = __pyx_t_1; - /* "View.MemoryView":1178 + /* "View.MemoryView":1177 * cdef Py_ssize_t size = src.memview.view.itemsize * * for i in range(ndim): # <<<<<<<<<<<<<< @@ -13951,7 +13032,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; - /* "View.MemoryView":1179 + /* "View.MemoryView":1178 * * for i in range(ndim): * size *= src.shape[i] # <<<<<<<<<<<<<< @@ -13961,7 +13042,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i])); } - /* "View.MemoryView":1181 + /* "View.MemoryView":1180 * size *= src.shape[i] * * return size # <<<<<<<<<<<<<< @@ -13971,7 +13052,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr __pyx_r = __pyx_v_size; goto __pyx_L0; - /* "View.MemoryView":1173 + /* "View.MemoryView":1172 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< @@ -13984,7 +13065,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr return __pyx_r; } -/* "View.MemoryView":1184 +/* "View.MemoryView":1183 * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< @@ -14000,7 +13081,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ int __pyx_t_3; int __pyx_t_4; - /* "View.MemoryView":1193 + /* "View.MemoryView":1192 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< @@ -14010,7 +13091,7 @@ static Py_ssize_t 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__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } - /* "View.MemoryView":1193 + /* "View.MemoryView":1192 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< @@ -14051,7 +13132,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ goto __pyx_L3; } - /* "View.MemoryView":1198 + /* "View.MemoryView":1197 * stride = stride * shape[idx] * else: * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< @@ -14062,7 +13143,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { __pyx_v_idx = __pyx_t_2; - /* "View.MemoryView":1199 + /* "View.MemoryView":1198 * else: * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride # <<<<<<<<<<<<<< @@ -14071,7 +13152,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; - /* "View.MemoryView":1200 + /* 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__Pyx_ goto __pyx_L7; } - /* "View.MemoryView":1294 + /* "View.MemoryView":1293 * src.strides[i] = 0 * else: * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< @@ -14846,11 +13991,11 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * if src.suboffsets[i] >= 0: */ /*else*/ { - __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1294, __pyx_L1_error) + __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1293, __pyx_L1_error) } __pyx_L7:; - /* "View.MemoryView":1289 + /* "View.MemoryView":1288 * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< @@ -14859,7 +14004,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1296 + /* "View.MemoryView":1295 * _err_extents(i, dst.shape[i], src.shape[i]) * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< @@ -14869,16 +14014,16 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1297 + /* "View.MemoryView":1296 * * if src.suboffsets[i] >= 0: * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< * * if slices_overlap(&src, &dst, ndim, itemsize): */ - __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1297, __pyx_L1_error) + __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1296, __pyx_L1_error) - /* "View.MemoryView":1296 + /* "View.MemoryView":1295 * _err_extents(i, dst.shape[i], src.shape[i]) * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< @@ -14888,7 +14033,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ } } - /* "View.MemoryView":1299 + /* "View.MemoryView":1298 * _err_dim(ValueError, "Dimension %d is not direct", i) * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< @@ -14898,7 +14043,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1301 + /* "View.MemoryView":1300 * if slices_overlap(&src, &dst, ndim, itemsize): * * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< @@ -14908,7 +14053,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1302 + /* "View.MemoryView":1301 * * if not slice_is_contig(src, order, ndim): * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< @@ -14917,7 +14062,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); - /* "View.MemoryView":1301 + /* "View.MemoryView":1300 * if slices_overlap(&src, &dst, ndim, itemsize): * * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< @@ -14926,17 +14071,17 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1304 + /* "View.MemoryView":1303 * order = get_best_order(&dst, ndim) * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< * src = tmp * */ - __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1304, __pyx_L1_error) + __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1303, __pyx_L1_error) __pyx_v_tmpdata = __pyx_t_7; - /* "View.MemoryView":1305 + /* "View.MemoryView":1304 * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) * src = tmp # <<<<<<<<<<<<<< @@ -14945,7 +14090,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_src = __pyx_v_tmp; - /* "View.MemoryView":1299 + /* "View.MemoryView":1298 * _err_dim(ValueError, "Dimension %d is not direct", i) * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< @@ -14954,7 +14099,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1307 + /* "View.MemoryView":1306 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< @@ -14964,7 +14109,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1310 + /* "View.MemoryView":1309 * * * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< @@ -14974,7 +14119,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1311 + /* "View.MemoryView":1310 * * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<< @@ -14983,7 +14128,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim); - /* "View.MemoryView":1310 + /* "View.MemoryView":1309 * * * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< @@ -14993,7 +14138,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ goto __pyx_L12; } - /* "View.MemoryView":1312 + /* "View.MemoryView":1311 * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< @@ -15003,7 +14148,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1313 + /* "View.MemoryView":1312 * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< @@ -15012,7 +14157,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); - /* "View.MemoryView":1312 + /* "View.MemoryView":1311 * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< @@ -15022,7 +14167,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ } __pyx_L12:; - /* "View.MemoryView":1315 + /* "View.MemoryView":1314 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< @@ -15032,7 +14177,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_v_direct_copy != 0); if (__pyx_t_2) { - /* "View.MemoryView":1317 + /* "View.MemoryView":1316 * if direct_copy: * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< @@ -15041,7 +14186,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - /* "View.MemoryView":1318 + /* "View.MemoryView":1317 * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< @@ -15050,7 +14195,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim))); - /* "View.MemoryView":1319 + /* "View.MemoryView":1318 * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< @@ -15059,7 +14204,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - /* "View.MemoryView":1320 + /* "View.MemoryView":1319 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) # <<<<<<<<<<<<<< @@ -15068,7 +14213,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ free(__pyx_v_tmpdata); - /* "View.MemoryView":1321 + /* "View.MemoryView":1320 * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) * return 0 # <<<<<<<<<<<<<< @@ -15078,7 +14223,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_r = 0; goto __pyx_L0; - /* "View.MemoryView":1315 + /* "View.MemoryView":1314 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< @@ -15087,7 +14232,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1307 + /* "View.MemoryView":1306 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< @@ -15096,7 +14241,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1323 + /* "View.MemoryView":1322 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< @@ -15110,25 +14255,25 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_8 = (__pyx_t_2 != 0); if (__pyx_t_8) { - /* "View.MemoryView":1326 + /* "View.MemoryView":1325 * * * transpose_memslice(&src) # <<<<<<<<<<<<<< * transpose_memslice(&dst) * */ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1326, __pyx_L1_error) + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1325, __pyx_L1_error) - /* "View.MemoryView":1327 + /* "View.MemoryView":1326 * * transpose_memslice(&src) * transpose_memslice(&dst) # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1327, __pyx_L1_error) + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1326, __pyx_L1_error) - /* "View.MemoryView":1323 + /* "View.MemoryView":1322 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< @@ -15137,7 +14282,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1329 + /* "View.MemoryView":1328 * transpose_memslice(&dst) * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< @@ -15146,7 +14291,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - /* "View.MemoryView":1330 + /* "View.MemoryView":1329 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< @@ -15155,7 +14300,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); - /* "View.MemoryView":1331 + /* "View.MemoryView":1330 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< @@ -15164,7 +14309,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - /* "View.MemoryView":1333 + /* "View.MemoryView":1332 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< @@ -15173,7 +14318,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ free(__pyx_v_tmpdata); - /* "View.MemoryView":1334 + /* "View.MemoryView":1333 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< @@ -15183,7 +14328,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_r = 0; goto __pyx_L0; - /* "View.MemoryView":1265 + /* "View.MemoryView":1264 * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< @@ -15207,7 +14352,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ return __pyx_r; } -/* "View.MemoryView":1337 +/* "View.MemoryView":1336 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< @@ -15222,7 +14367,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic int __pyx_t_2; int __pyx_t_3; - /* "View.MemoryView":1341 + /* "View.MemoryView":1340 * int ndim_other) nogil: * cdef int i * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< @@ -15231,7 +14376,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); - /* "View.MemoryView":1343 + /* "View.MemoryView":1342 * cdef int offset = ndim_other - ndim * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< @@ -15241,7 +14386,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; - /* "View.MemoryView":1344 + /* "View.MemoryView":1343 * * for i in range(ndim - 1, -1, -1): * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< @@ -15250,7 +14395,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); - /* "View.MemoryView":1345 + /* "View.MemoryView":1344 * for i in range(ndim - 1, -1, -1): * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< @@ -15259,7 +14404,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); - /* "View.MemoryView":1346 + /* "View.MemoryView":1345 * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< @@ -15269,7 +14414,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); } - /* "View.MemoryView":1348 + /* "View.MemoryView":1347 * mslice.suboffsets[i + offset] = mslice.suboffsets[i] * * for i in range(offset): # <<<<<<<<<<<<<< @@ -15281,7 +14426,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; - /* "View.MemoryView":1349 + /* "View.MemoryView":1348 * * for i in range(offset): * mslice.shape[i] = 1 # <<<<<<<<<<<<<< @@ -15290,7 +14435,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->shape[__pyx_v_i]) = 1; - /* "View.MemoryView":1350 + /* "View.MemoryView":1349 * for i in range(offset): * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< @@ -15299,7 +14444,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); - /* "View.MemoryView":1351 + /* "View.MemoryView":1350 * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< @@ -15309,7 +14454,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; } - /* "View.MemoryView":1337 + /* "View.MemoryView":1336 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< @@ -15320,7 +14465,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic /* function exit code */ } -/* "View.MemoryView":1359 +/* "View.MemoryView":1358 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< @@ -15331,7 +14476,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { int __pyx_t_1; - /* "View.MemoryView":1363 + /* "View.MemoryView":1362 * * * if dtype_is_object: # <<<<<<<<<<<<<< @@ -15341,7 +14486,7 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i __pyx_t_1 = (__pyx_v_dtype_is_object != 0); if (__pyx_t_1) { - /* "View.MemoryView":1364 + /* "View.MemoryView":1363 * * if dtype_is_object: * refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<< @@ -15350,7 +14495,7 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i */ __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, 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__pyx_t_9 = 0; + } + } __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "(tree fragment)":13 + /* "(tree fragment)":11 * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): * __pyx_result.name = __pyx_state[0] * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'): # <<<<<<<<<<<<<< @@ -16084,7 +15318,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__ */ } - /* "(tree fragment)":11 + /* "(tree fragment)":9 * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) * return __pyx_result * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< @@ -16100,6 +15334,7 @@ static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *__ __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_7); __Pyx_XDECREF(__pyx_t_8); + __Pyx_XDECREF(__pyx_t_9); __Pyx_AddTraceback("View.MemoryView.__pyx_unpickle_Enum__set_state", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = 0; __pyx_L0:; @@ -16814,15 +16049,6 @@ static struct PyModuleDef __pyx_moduledef = { NULL /* m_free */ }; #endif -#ifndef CYTHON_SMALL_CODE -#if defined(__clang__) - #define CYTHON_SMALL_CODE -#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3)) - #define CYTHON_SMALL_CODE __attribute__((cold)) -#else - #define CYTHON_SMALL_CODE -#endif -#endif static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_ASCII, __pyx_k_ASCII, sizeof(__pyx_k_ASCII), 0, 0, 1, 1}, @@ -16849,7 +16075,7 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1}, {&__pyx_n_s_View_MemoryView, __pyx_k_View_MemoryView, sizeof(__pyx_k_View_MemoryView), 0, 0, 1, 1}, {&__pyx_n_s_WtW, __pyx_k_WtW, sizeof(__pyx_k_WtW), 0, 0, 1, 1}, - {&__pyx_n_s_Wt_v_minus_r, __pyx_k_Wt_v_minus_r, sizeof(__pyx_k_Wt_v_minus_r), 0, 0, 1, 1}, + {&__pyx_n_s_Wtv, __pyx_k_Wtv, sizeof(__pyx_k_Wtv), 0, 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__Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 0, 1, 1}, {&__pyx_n_u_fortran, __pyx_k_fortran, sizeof(__pyx_k_fortran), 0, 1, 0, 1}, {&__pyx_n_s_gensim_models_nmf_pgd, __pyx_k_gensim_models_nmf_pgd, sizeof(__pyx_k_gensim_models_nmf_pgd), 0, 0, 1, 1}, - {&__pyx_kp_s_gensim_models_nmf_pgd_pyx, __pyx_k_gensim_models_nmf_pgd_pyx, sizeof(__pyx_k_gensim_models_nmf_pgd_pyx), 0, 0, 1, 0}, {&__pyx_n_s_getstate, __pyx_k_getstate, sizeof(__pyx_k_getstate), 0, 0, 1, 1}, {&__pyx_kp_s_got_differing_extents_in_dimensi, __pyx_k_got_differing_extents_in_dimensi, sizeof(__pyx_k_got_differing_extents_in_dimensi), 0, 0, 1, 0}, {&__pyx_n_s_grad, __pyx_k_grad, sizeof(__pyx_k_grad), 0, 0, 1, 1}, @@ -16879,12 +16103,9 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_hessian, __pyx_k_hessian, sizeof(__pyx_k_hessian), 0, 0, 1, 1}, {&__pyx_n_s_id, __pyx_k_id, sizeof(__pyx_k_id), 0, 0, 1, 1}, {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1}, - {&__pyx_n_s_indices, __pyx_k_indices, sizeof(__pyx_k_indices), 0, 0, 1, 1}, - {&__pyx_n_s_indptr, __pyx_k_indptr, sizeof(__pyx_k_indptr), 0, 0, 1, 1}, {&__pyx_n_s_itemsize, __pyx_k_itemsize, sizeof(__pyx_k_itemsize), 0, 0, 1, 1}, {&__pyx_kp_s_itemsize_0_for_cython_array, __pyx_k_itemsize_0_for_cython_array, sizeof(__pyx_k_itemsize_0_for_cython_array), 0, 0, 1, 0}, {&__pyx_n_s_kappa, __pyx_k_kappa, sizeof(__pyx_k_kappa), 0, 0, 1, 1}, - {&__pyx_n_s_lambda, __pyx_k_lambda, sizeof(__pyx_k_lambda), 0, 0, 1, 1}, {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1}, {&__pyx_n_s_memview, __pyx_k_memview, sizeof(__pyx_k_memview), 0, 0, 1, 1}, {&__pyx_n_s_mode, __pyx_k_mode, sizeof(__pyx_k_mode), 0, 0, 1, 1}, @@ -16894,9 +16115,11 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_name_2, __pyx_k_name_2, sizeof(__pyx_k_name_2), 0, 0, 1, 1}, {&__pyx_n_s_ndim, __pyx_k_ndim, sizeof(__pyx_k_ndim), 0, 0, 1, 1}, {&__pyx_n_s_new, __pyx_k_new, sizeof(__pyx_k_new), 0, 0, 1, 1}, + {&__pyx_kp_s_nmf_pgd_pyx, __pyx_k_nmf_pgd_pyx, sizeof(__pyx_k_nmf_pgd_pyx), 0, 0, 1, 0}, {&__pyx_kp_s_no_default___reduce___due_to_non, __pyx_k_no_default___reduce___due_to_non, sizeof(__pyx_k_no_default___reduce___due_to_non), 0, 0, 1, 0}, {&__pyx_n_s_obj, __pyx_k_obj, sizeof(__pyx_k_obj), 0, 0, 1, 1}, {&__pyx_n_s_pack, __pyx_k_pack, sizeof(__pyx_k_pack), 0, 0, 1, 1}, + {&__pyx_n_s_permutation, __pyx_k_permutation, sizeof(__pyx_k_permutation), 0, 0, 1, 1}, {&__pyx_n_s_pickle, __pyx_k_pickle, sizeof(__pyx_k_pickle), 0, 0, 1, 1}, {&__pyx_n_s_projected_grad, __pyx_k_projected_grad, sizeof(__pyx_k_projected_grad), 0, 0, 1, 1}, {&__pyx_n_s_pyx_PickleError, __pyx_k_pyx_PickleError, sizeof(__pyx_k_pyx_PickleError), 0, 0, 1, 1}, @@ -16907,23 +16130,6 @@ static __Pyx_StringTabEntry __pyx_string_tab[] = { {&__pyx_n_s_pyx_type, __pyx_k_pyx_type, sizeof(__pyx_k_pyx_type), 0, 0, 1, 1}, {&__pyx_n_s_pyx_unpickle_Enum, __pyx_k_pyx_unpickle_Enum, 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__Pyx_modinit_function_import_code(void); /*proto*/ +static int __Pyx_modinit_global_init_code(void); /*proto*/ +static int __Pyx_modinit_variable_export_code(void); /*proto*/ +static int __Pyx_modinit_function_export_code(void); /*proto*/ +static int __Pyx_modinit_type_init_code(void); /*proto*/ +static int __Pyx_modinit_type_import_code(void); /*proto*/ +static int __Pyx_modinit_variable_import_code(void); /*proto*/ +static int __Pyx_modinit_function_import_code(void); /*proto*/ static int __Pyx_modinit_global_init_code(void) { __Pyx_RefNannyDeclarations @@ -17318,17 +16543,17 @@ static int __Pyx_modinit_type_init_code(void) { /*--- Type init code ---*/ __pyx_vtabptr_array = &__pyx_vtable_array; __pyx_vtable_array.get_memview = (PyObject *(*)(struct __pyx_array_obj *))__pyx_array_get_memview; - if (PyType_Ready(&__pyx_type___pyx_array) < 0) __PYX_ERR(1, 105, __pyx_L1_error) + if (PyType_Ready(&__pyx_type___pyx_array) < 0) __PYX_ERR(1, 104, __pyx_L1_error) 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__pyx_type___pyx_memoryviewslice.tp_getattro = __Pyx_PyObject_GenericGetAttr; } - if (__Pyx_SetVtable(__pyx_type___pyx_memoryviewslice.tp_dict, __pyx_vtabptr__memoryviewslice) < 0) __PYX_ERR(1, 961, __pyx_L1_error) - if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_memoryviewslice) < 0) __PYX_ERR(1, 961, __pyx_L1_error) + if (__Pyx_SetVtable(__pyx_type___pyx_memoryviewslice.tp_dict, __pyx_vtabptr__memoryviewslice) < 0) __PYX_ERR(1, 960, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_memoryviewslice) < 0) __PYX_ERR(1, 960, __pyx_L1_error) __pyx_memoryviewslice_type = &__pyx_type___pyx_memoryviewslice; __Pyx_RefNannyFinishContext(); return 0; @@ -17404,6 +16629,15 @@ static int __Pyx_modinit_function_import_code(void) { #define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC #endif #endif +#ifndef CYTHON_SMALL_CODE +#if defined(__clang__) + #define CYTHON_SMALL_CODE +#elif defined(__GNUC__) && (!(defined(__cplusplus)) || (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ > 4))) + #define CYTHON_SMALL_CODE __attribute__((cold)) +#else + #define CYTHON_SMALL_CODE +#endif +#endif #if PY_MAJOR_VERSION < 3 @@ -17416,36 +16650,11 @@ __Pyx_PyMODINIT_FUNC PyInit_nmf_pgd(void) { return PyModuleDef_Init(&__pyx_moduledef); } -static CYTHON_SMALL_CODE int __Pyx_check_single_interpreter(void) { - #if PY_VERSION_HEX >= 0x030700A1 - static PY_INT64_T main_interpreter_id = -1; - PY_INT64_T current_id = PyInterpreterState_GetID(PyThreadState_Get()->interp); - if (main_interpreter_id == -1) { - main_interpreter_id = current_id; - return (unlikely(current_id == -1)) ? -1 : 0; - } else if (unlikely(main_interpreter_id != current_id)) - #else - static PyInterpreterState *main_interpreter = NULL; - PyInterpreterState *current_interpreter = PyThreadState_Get()->interp; - if (!main_interpreter) { - main_interpreter = current_interpreter; - } else if (unlikely(main_interpreter != current_interpreter)) - #endif - { - PyErr_SetString( - PyExc_ImportError, - "Interpreter change detected - this module can only be loaded into one interpreter per process."); - return -1; - } - return 0; -} -static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name, int allow_none) { +static int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name) { PyObject *value = PyObject_GetAttrString(spec, from_name); int result = 0; if (likely(value)) { - if (allow_none || value != Py_None) { - result = PyDict_SetItemString(moddict, to_name, value); - } + result = PyDict_SetItemString(moddict, to_name, value); Py_DECREF(value); } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); @@ -17454,10 +16663,8 @@ static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject } return result; } -static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) { +static PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) { PyObject *module = NULL, *moddict, *modname; - if (__Pyx_check_single_interpreter()) - return NULL; if (__pyx_m) return __Pyx_NewRef(__pyx_m); modname = PyObject_GetAttrString(spec, "name"); @@ -17467,10 +16674,10 @@ static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNU if (unlikely(!module)) goto bad; moddict = PyModule_GetDict(module); if (unlikely(!moddict)) goto bad; - if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__", 1) < 0)) goto bad; - if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__", 1) < 0)) goto bad; - if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__", 1) < 0)) goto bad; - if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__", 0) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__") < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__") < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__") < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__") < 0)) goto bad; return module; bad: Py_XDECREF(module); @@ -17478,7 +16685,7 @@ static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNU } -static CYTHON_SMALL_CODE int __pyx_pymod_exec_nmf_pgd(PyObject *__pyx_pyinit_module) +static int __pyx_pymod_exec_nmf_pgd(PyObject *__pyx_pyinit_module) #endif #endif { @@ -17486,11 +16693,7 @@ static CYTHON_SMALL_CODE int __pyx_pymod_exec_nmf_pgd(PyObject *__pyx_pyinit_mod static PyThread_type_lock __pyx_t_2[8]; __Pyx_RefNannyDeclarations #if CYTHON_PEP489_MULTI_PHASE_INIT - if (__pyx_m) { - if (__pyx_m == __pyx_pyinit_module) return 0; - PyErr_SetString(PyExc_RuntimeError, "Module 'nmf_pgd' has already been imported. Re-initialisation is not supported."); - return -1; - } + if (__pyx_m && __pyx_m == __pyx_pyinit_module) return 0; #elif PY_MAJOR_VERSION >= 3 if (__pyx_m) return __Pyx_NewRef(__pyx_m); #endif @@ -17505,9 +16708,6 @@ if (!__Pyx_RefNanny) { #endif __Pyx_RefNannySetupContext("__Pyx_PyMODINIT_FUNC PyInit_nmf_pgd(void)", 0); if (__Pyx_check_binary_version() < 0) __PYX_ERR(0, 1, __pyx_L1_error) - #ifdef __Pxy_PyFrame_Initialize_Offsets - __Pxy_PyFrame_Initialize_Offsets(); - #endif __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) __PYX_ERR(0, 1, __pyx_L1_error) __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) __PYX_ERR(0, 1, __pyx_L1_error) __pyx_empty_unicode = PyUnicode_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_unicode)) __PYX_ERR(0, 1, __pyx_L1_error) @@ -17562,7 +16762,7 @@ if (!__Pyx_RefNanny) { if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error) #endif if (__pyx_module_is_main_gensim__models__nmf_pgd) { - if (PyObject_SetAttr(__pyx_m, __pyx_n_s_name_2, __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error) + if (PyObject_SetAttrString(__pyx_m, "__name__", __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error) } #if PY_MAJOR_VERSION >= 3 { @@ -17589,28 +16789,16 @@ if (!__Pyx_RefNanny) { if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error) #endif - /* "gensim/models/nmf_pgd.pyx":23 - * return a + /* "gensim/models/nmf_pgd.pyx":18 + * return x if x > y else y * - * def solve_h(double[:, ::1] h, double[:, :] Wt_v_minus_r, double[:, ::1] WtW, double kappa): # <<<<<<<<<<<<<< + * def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa): # <<<<<<<<<<<<<< * """Find optimal dense vector representation for current W and r matrices. * */ - __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_6gensim_6models_7nmf_pgd_1solve_h, NULL, __pyx_n_s_gensim_models_nmf_pgd); 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- if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { + if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; @@ -18933,60 +18093,52 @@ static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject } /* GetModuleGlobalName */ -#if CYTHON_USE_DICT_VERSIONS -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) -#else -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) -#endif -{ +static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { PyObject *result; #if !CYTHON_AVOID_BORROWED_REFS #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) if (likely(result)) { - return __Pyx_NewRef(result); + Py_INCREF(result); } else if (unlikely(PyErr_Occurred())) { - return NULL; - } + result = NULL; + } else { #else result = PyDict_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) if (likely(result)) { - return __Pyx_NewRef(result); - } + Py_INCREF(result); + } else { #endif #else result = PyObject_GetItem(__pyx_d, name); - __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } - PyErr_Clear(); + if (!result) { + PyErr_Clear(); #endif - return __Pyx_GetBuiltinName(name); + result = __Pyx_GetBuiltinName(name); + } + return result; } /* RaiseTooManyValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { + static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } /* RaiseNeedMoreValuesToUnpack */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { + static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", index, (index == 1) ? "" : "s"); } /* RaiseNoneIterError */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { + static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } /* ExtTypeTest */ -static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { + static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; @@ -18998,29 +18150,13 @@ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { return 0; } -/* GetTopmostException */ -#if CYTHON_USE_EXC_INFO_STACK -static _PyErr_StackItem * -__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) -{ - _PyErr_StackItem *exc_info = tstate->exc_info; - while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) && - exc_info->previous_item != NULL) - { - exc_info = exc_info->previous_item; - } - return exc_info; -} -#endif - /* SaveResetException */ -#if CYTHON_FAST_THREAD_STATE + #if CYTHON_FAST_THREAD_STATE static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); - *type = exc_info->exc_type; - *value = exc_info->exc_value; - *tb = exc_info->exc_traceback; + #if PY_VERSION_HEX >= 0x030700A3 + *type = tstate->exc_state.exc_type; + *value = tstate->exc_state.exc_value; + *tb = tstate->exc_state.exc_traceback; #else *type = tstate->exc_type; *value = tstate->exc_value; @@ -19032,14 +18168,13 @@ static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject * } static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = type; - exc_info->exc_value = value; - exc_info->exc_traceback = tb; + #if PY_VERSION_HEX >= 0x030700A3 + tmp_type = tstate->exc_state.exc_type; + tmp_value = tstate->exc_state.exc_value; + tmp_tb = tstate->exc_state.exc_traceback; + tstate->exc_state.exc_type = type; + tstate->exc_state.exc_value = value; + tstate->exc_state.exc_traceback = tb; #else tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; @@ -19055,12 +18190,11 @@ static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject #endif /* GetException */ -#if CYTHON_FAST_THREAD_STATE -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) + #if CYTHON_FAST_THREAD_STATE +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { #else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { #endif -{ PyObject *local_type, *local_value, *local_tb; #if CYTHON_FAST_THREAD_STATE PyObject *tmp_type, *tmp_value, *tmp_tb; @@ -19093,16 +18227,13 @@ static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) *value = local_value; *tb = local_tb; #if CYTHON_FAST_THREAD_STATE - #if CYTHON_USE_EXC_INFO_STACK - { - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = local_type; - exc_info->exc_value = local_value; - exc_info->exc_traceback = local_tb; - } + #if PY_VERSION_HEX >= 0x030700A3 + tmp_type = tstate->exc_state.exc_type; + tmp_value = tstate->exc_state.exc_value; + tmp_tb = tstate->exc_state.exc_traceback; + tstate->exc_state.exc_type = local_type; + tstate->exc_state.exc_value = local_value; + tstate->exc_state.exc_traceback = local_tb; #else tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; @@ -19129,17 +18260,16 @@ static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) } /* SwapException */ -#if CYTHON_FAST_THREAD_STATE + #if CYTHON_FAST_THREAD_STATE static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; - #if CYTHON_USE_EXC_INFO_STACK - _PyErr_StackItem *exc_info = tstate->exc_info; - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = *type; - exc_info->exc_value = *value; - exc_info->exc_traceback = *tb; + #if PY_VERSION_HEX >= 0x030700A3 + tmp_type = tstate->exc_state.exc_type; + tmp_value = tstate->exc_state.exc_value; + tmp_tb = tstate->exc_state.exc_traceback; + tstate->exc_state.exc_type = *type; + tstate->exc_state.exc_value = *value; + tstate->exc_state.exc_traceback = *tb; #else tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; @@ -19164,7 +18294,7 @@ static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, #endif /* Import */ -static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { + static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; @@ -19211,7 +18341,7 @@ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, - name, global_dict, empty_dict, list, py_level, (PyObject *)NULL); + name, global_dict, empty_dict, list, py_level, NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( @@ -19229,7 +18359,7 @@ static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { } /* FastTypeChecks */ -#if CYTHON_COMPILING_IN_CPYTHON + #if CYTHON_COMPILING_IN_CPYTHON static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { while (a) { a = a->tp_base; @@ -19329,7 +18459,7 @@ static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObj #endif /* PyIntBinop */ -#if !CYTHON_COMPILING_IN_PYPY + #if !CYTHON_COMPILING_IN_PYPY static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(op1))) { @@ -19451,12 +18581,12 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED #endif /* None */ -static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { + static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } /* WriteUnraisableException */ -static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, + static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, int full_traceback, CYTHON_UNUSED int nogil) { PyObject *old_exc, *old_val, *old_tb; @@ -19498,7 +18628,7 @@ static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, } /* ImportFrom */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { + static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Format(PyExc_ImportError, @@ -19512,7 +18642,7 @@ static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { } /* HasAttr */ -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { + static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { PyObject *r; if (unlikely(!__Pyx_PyBaseString_Check(n))) { PyErr_SetString(PyExc_TypeError, @@ -19530,7 +18660,7 @@ static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { } /* PyObject_GenericGetAttrNoDict */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 + #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) { PyErr_Format(PyExc_AttributeError, #if PY_MAJOR_VERSION >= 3 @@ -19570,7 +18700,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj #endif /* PyObject_GenericGetAttr */ -#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 + #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { return PyObject_GenericGetAttr(obj, attr_name); @@ -19580,7 +18710,7 @@ static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_nam #endif /* SetVTable */ -static int __Pyx_SetVtable(PyObject *dict, void *vtable) { + static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 PyObject *ob = PyCapsule_New(vtable, 0, 0); #else @@ -19598,7 +18728,7 @@ static int __Pyx_SetVtable(PyObject *dict, void *vtable) { } /* SetupReduce */ -static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { + static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { int ret; PyObject *name_attr; name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2); @@ -19674,8 +18804,8 @@ static int __Pyx_setup_reduce(PyObject* type_obj) { } /* CLineInTraceback */ -#ifndef CYTHON_CLINE_IN_TRACEBACK -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { + #ifndef CYTHON_CLINE_IN_TRACEBACK +static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_line) { PyObject *use_cline; PyObject *ptype, *pvalue, *ptraceback; #if CYTHON_COMPILING_IN_CPYTHON @@ -19688,9 +18818,7 @@ static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { #if CYTHON_COMPILING_IN_CPYTHON cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); if (likely(cython_runtime_dict)) { - __PYX_PY_DICT_LOOKUP_IF_MODIFIED( - use_cline, *cython_runtime_dict, - __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) + use_cline = __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback); } else #endif { @@ -19707,7 +18835,7 @@ static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { c_line = 0; PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); } - else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { + else if (PyObject_Not(use_cline) != 0) { c_line = 0; } __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); @@ -19716,7 +18844,7 @@ static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { #endif /* CodeObjectCache */ -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { + static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; @@ -19796,7 +18924,7 @@ static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { } /* AddTraceback */ -#include "compile.h" + #include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( @@ -19902,8 +19030,8 @@ static void __Pyx_ReleaseBuffer(Py_buffer *view) { #endif -/* MemviewSliceIsContig */ -static int + /* MemviewSliceIsContig */ + static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) { int i, index, step, start; @@ -19925,7 +19053,7 @@ __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) } /* OverlappingSlices */ -static void + static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) @@ -19961,7 +19089,7 @@ __pyx_slices_overlap(__Pyx_memviewslice *slice1, } /* Capsule */ -static CYTHON_INLINE PyObject * + static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; @@ -19974,7 +19102,7 @@ __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) } /* IsLittleEndian */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) + static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) { union { uint32_t u32; @@ -19985,7 +19113,7 @@ static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) } /* BufferFormatCheck */ -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, + static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; @@ -20487,7 +19615,7 @@ static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const cha } /* TypeInfoCompare */ - static int + static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; @@ -20528,7 +19656,7 @@ __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) } /* MemviewSliceValidateAndInit */ - static int + static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) @@ -20710,7 +19838,7 @@ static int __Pyx_ValidateAndInit_memviewslice( } /* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) { + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; @@ -20733,7 +19861,7 @@ static int __Pyx_ValidateAndInit_memviewslice( } /* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; @@ -20755,8 +19883,31 @@ static int __Pyx_ValidateAndInit_memviewslice( return result; } +/* ObjectToMemviewSlice */ + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { + __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; + __Pyx_BufFmt_StackElem stack[1]; + int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; + int retcode; + if (obj == Py_None) { + result.memview = (struct __pyx_memoryview_obj *) Py_None; + return result; + } + retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, + (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1, + &__Pyx_TypeInfo_int, stack, + &result, obj); + if (unlikely(retcode == -1)) + goto __pyx_fail; + return result; +__pyx_fail: + result.memview = NULL; + result.data = NULL; + return result; +} + /* MemviewSliceCopyTemplate */ - static __Pyx_memviewslice + static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, @@ -20823,7 +19974,7 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) @@ -20845,8 +19996,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { - const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; + static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { + const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { @@ -21034,8 +20185,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { - const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { + const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { @@ -21223,8 +20374,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { - const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { + const int neg_one = (int) -1, const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(int) < sizeof(long)) { @@ -21254,8 +20405,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { - const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { + const long neg_one = (long) -1, const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(long) < sizeof(long)) { @@ -21285,8 +20436,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPy */ - static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { - const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0; + static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { + const char neg_one = (char) -1, const_zero = (char) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { @@ -21473,54 +20624,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, return (char) -1; } -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1, - &__Pyx_TypeInfo_int, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - -/* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *obj, int writable_flag) { - __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; - __Pyx_BufFmt_StackElem stack[1]; - int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; - int retcode; - if (obj == Py_None) { - result.memview = (struct __pyx_memoryview_obj *) Py_None; - return result; - } - retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG, - (PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1, - &__Pyx_TypeInfo_double, stack, - &result, obj); - if (unlikely(retcode == -1)) - goto __pyx_fail; - return result; -__pyx_fail: - result.memview = NULL; - result.data = NULL; - return result; -} - /* CheckBinaryVersion */ - static int __Pyx_check_binary_version(void) { + static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); @@ -21536,7 +20641,7 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* InitStrings */ - static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { + static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { @@ -21645,13 +20750,6 @@ static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { - int retval; - if (unlikely(!x)) return -1; - retval = __Pyx_PyObject_IsTrue(x); - Py_DECREF(x); - return retval; -} static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { #if PY_MAJOR_VERSION >= 3 if (PyLong_Check(result)) { @@ -21729,7 +20827,7 @@ static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { if (sizeof(Py_ssize_t) >= sizeof(long)) return PyInt_AS_LONG(b); else - return PyInt_AsSsize_t(b); + return PyInt_AsSsize_t(x); } #endif if (likely(PyLong_CheckExact(b))) { diff --git a/gensim/models/nmf_pgd.pyx b/gensim/models/nmf_pgd.pyx index 01e9075cbc..dff480cdb4 100644 --- a/gensim/models/nmf_pgd.pyx +++ b/gensim/models/nmf_pgd.pyx @@ -6,7 +6,7 @@ # cython: nonecheck=False # cython: embedsignature=True -from libc.math cimport sqrt, fabs, copysign +from libc.math cimport sqrt from cython.parallel import prange cdef double fmin(double x, double y) nogil: @@ -15,19 +15,14 @@ cdef double fmin(double x, double y) nogil: cdef double fmax(double x, double y) nogil: return x if x > y else y -cdef double clip(double a, double a_min, double a_max) nogil: - a = fmin(a, a_max) - a = fmax(a, a_min) - return a - -def solve_h(double[:, ::1] h, double[:, :] Wt_v_minus_r, double[:, ::1] WtW, double kappa): +def solve_h(double[:, ::1] h, double[:, :] Wtv, double[:, ::1] WtW, int[::1] permutation, double kappa): """Find optimal dense vector representation for current W and r matrices. Parameters ---------- h : matrix Dense representation of documents in current batch. - Wt_v_minus_r : matrix + Wtv : matrix WtW : matrix Returns @@ -47,8 +42,9 @@ def solve_h(double[:, ::1] h, double[:, :] Wt_v_minus_r, double[:, ::1] WtW, dou for sample_idx in prange(n_samples, nogil=True): for component_idx_1 in range(n_components): + component_idx_1 = permutation[component_idx_1] - grad = -Wt_v_minus_r[component_idx_1, sample_idx] + grad = -Wtv[component_idx_1, sample_idx] for component_idx_2 in range(n_components): grad += WtW[component_idx_1, component_idx_2] * h[component_idx_2, sample_idx] @@ -64,103 +60,3 @@ def solve_h(double[:, ::1] h, double[:, :] Wt_v_minus_r, double[:, ::1] WtW, dou h[component_idx_1, sample_idx] = fmax(h[component_idx_1, sample_idx] - grad, 0.) return sqrt(violation) - -def solve_r( - r, - r_actual, - double lambda_, - double v_max - ): - """Bound new residuals. - - Parameters - ---------- - r: sparse matrix - r_actual: sparse matrix - lambda_ : double - v_max : double - - Returns - ------- - float - Cumulative difference between previous and current residuals vectors. - - """ - - cdef int[::1] r_indptr = r.indptr - cdef int[::1] r_indices = r.indices - cdef double[::1] r_data = r.data - cdef int[::1] r_actual_indptr = r_actual.indptr - cdef int[::1] r_actual_indices = r_actual.indices - cdef double[::1] r_actual_data = r_actual.data - - cdef Py_ssize_t r_col_size = 0 - cdef Py_ssize_t r_actual_col_size = 0 - cdef Py_ssize_t r_col_indptr - cdef Py_ssize_t r_actual_col_indptr - cdef Py_ssize_t r_col_idx - cdef Py_ssize_t r_actual_col_idx - cdef double* r_element - cdef double* r_actual_element - - cdef double r_actual_sign = 1.0 - - cdef Py_ssize_t n_samples = r_actual_indptr.shape[0] - 1 - cdef Py_ssize_t sample_idx - - cdef double violation = 0 - - for sample_idx in prange(n_samples, nogil=True): - r_col_size = r_indptr[sample_idx + 1] - r_indptr[sample_idx] - r_actual_col_size = r_actual_indptr[sample_idx + 1] - r_actual_indptr[sample_idx] - - r_col_idx = 0 - r_actual_col_idx = 0 - - while r_col_idx < r_col_size or r_actual_col_idx < r_actual_col_size: - r_col_indptr = r_indices[ - r_indptr[sample_idx] - + r_col_idx - ] - r_actual_col_indptr = r_actual_indices[ - r_actual_indptr[sample_idx] - + r_actual_col_idx - ] - - r_element = &r_data[ - r_indptr[sample_idx] - + r_col_idx - ] - r_actual_element = &r_actual_data[ - r_actual_indptr[sample_idx] - + r_actual_col_idx - ] - - if r_col_indptr >= r_actual_col_indptr: - r_actual_sign = copysign(r_actual_sign, r_actual_element[0]) - - r_actual_element[0] = fabs(r_actual_element[0]) - lambda_ - r_actual_element[0] = fmax(r_actual_element[0], 0) - - if r_actual_element[0] != 0: - r_actual_element[0] = copysign(r_actual_element[0], r_actual_sign) - r_actual_element[0] = clip(r_actual_element[0], -v_max, v_max) - - if r_col_indptr == r_actual_col_indptr: - violation += (r_element[0] - r_actual_element[0]) ** 2 - else: - violation += r_actual_element[0] ** 2 - - if r_actual_col_idx < r_actual_col_size: - r_actual_col_idx = r_actual_col_idx + 1 - else: - r_col_idx = r_col_idx + 1 - else: - violation += r_element[0] ** 2 - - if r_col_idx < r_col_size: - r_col_idx = r_col_idx + 1 - else: - r_actual_col_idx = r_actual_col_idx + 1 - - return sqrt(violation) From 9194c97320bbd2f49b6acf4f3345f85d923f2aa8 Mon Sep 17 00:00:00 2001 From: Ivan Menshikh Date: Thu, 31 Jan 2019 08:00:03 +0500 Subject: [PATCH 13/31] [skip ci] update nmf wiki notebook --- docs/notebooks/nmf_wikipedia.ipynb | 23700 ++++++++++++++++++++++++++- 1 file changed, 22963 insertions(+), 737 deletions(-) diff --git a/docs/notebooks/nmf_wikipedia.ipynb b/docs/notebooks/nmf_wikipedia.ipynb index eaa3c656c7..49dbd318b6 100644 --- a/docs/notebooks/nmf_wikipedia.ipynb +++ b/docs/notebooks/nmf_wikipedia.ipynb @@ -29,13 +29,19 @@ "import scipy.sparse\n", "import smart_open\n", "import time\n", + "import os\n", + "import psutil\n", + "from contextlib import contextmanager\n", + "from multiprocessing import Process\n", "from tqdm import tqdm, tqdm_notebook\n", + "import joblib\n", "\n", "import gensim.downloader as api\n", "from gensim import matutils\n", "from gensim.corpora import MmCorpus, Dictionary\n", "from gensim.models import LdaModel, CoherenceModel\n", - "from gensim.models.nmf import Nmf\n", + "from gensim.models.nmf import Nmf as GensimNmf\n", + "from sklearn.decomposition.nmf import NMF as SklearnNmf\n", "from gensim.parsing.preprocessing import preprocess_string\n", "\n", "tqdm.pandas()\n", @@ -244,11 +250,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-15 19:31:03,151 : INFO : loading Dictionary object from wiki.dict\n", - "2019-01-15 19:31:04,024 : INFO : loaded wiki.dict\n", - "2019-01-15 19:31:06,292 : INFO : discarding 1910258 tokens: [('abdelrahim', 49), ('abstention', 120), ('anarcha', 101), ('anarchica', 40), ('anarchosyndicalist', 20), ('antimilitar', 68), ('arbet', 194), ('archo', 100), ('arkhē', 5), ('autonomedia', 118)]...\n", - "2019-01-15 19:31:06,293 : INFO : keeping 100000 tokens which were in no less than 5 and no more than 2462447 (=50.0%) documents\n", - "2019-01-15 19:31:06,645 : INFO : resulting dictionary: Dictionary(100000 unique tokens: ['abandon', 'abil', 'abl', 'abolit', 'abstent']...)\n" + "2019-01-30 23:49:27,738 : INFO : loading Dictionary object from wiki.dict\n", + "2019-01-30 23:49:28,637 : INFO : loaded wiki.dict\n", + "2019-01-30 23:49:33,783 : INFO : discarding 1910146 tokens: [('abdelrahim', 49), ('abstention', 120), ('anarcha', 101), ('anarchica', 40), ('anarchosyndicalist', 20), ('antimilitar', 68), ('arbet', 194), ('archo', 100), ('arkhē', 5), ('autonomedia', 118)]...\n", + "2019-01-30 23:49:33,784 : INFO : keeping 100000 tokens which were in no less than 5 and no more than 2462447 (=50.0%) documents\n", + "2019-01-30 23:49:34,701 : INFO : resulting dictionary: Dictionary(100000 unique tokens: ['omana', 'thoroughfar', 'janssen', 'boletacea', 'itzik']...)\n" ] } ], @@ -283,18 +289,22 @@ " super().__init__(*args, **kwargs)\n", "\n", " random_state = np.random.RandomState(random_seed)\n", + " \n", " self.indices = random_state.permutation(range(self.num_docs))\n", + " test_nnz = sum(len(self[doc_idx]) for doc_idx in self.indices[:testsize])\n", + " \n", " if testset:\n", " self.indices = self.indices[:testsize]\n", + " self.num_docs = testsize\n", + " self.num_nnz = test_nnz\n", " else:\n", " self.indices = self.indices[testsize:]\n", + " self.num_docs -= testsize\n", + " self.num_nnz -= test_nnz\n", "\n", " def __iter__(self):\n", " for doc_id in self.indices:\n", - " yield self[doc_id]\n", - " \n", - " def __len__(self):\n", - " return len(self.indices)" + " yield self[doc_id]" ] }, { @@ -343,12 +353,12 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-15 19:31:07,323 : INFO : loaded corpus index from wiki.mm.index\n", - "2019-01-15 19:31:07,324 : INFO : initializing cython corpus reader from wiki.mm\n", - "2019-01-15 19:31:07,325 : INFO : accepted corpus with 4924894 documents, 100000 features, 683375728 non-zero entries\n", - "2019-01-15 19:31:08,544 : INFO : loaded corpus index from wiki.mm.index\n", - "2019-01-15 19:31:08,544 : INFO : initializing cython corpus reader from wiki.mm\n", - "2019-01-15 19:31:08,545 : INFO : accepted corpus with 4924894 documents, 100000 features, 683375728 non-zero entries\n" + "2019-01-30 23:49:35,606 : INFO : loaded corpus index from wiki.mm.index\n", + "2019-01-30 23:49:35,607 : INFO : initializing cython corpus reader from wiki.mm\n", + "2019-01-30 23:49:35,607 : INFO : accepted corpus with 4924894 documents, 100000 features, 683326444 non-zero entries\n", + "2019-01-30 23:49:37,629 : INFO : loaded corpus index from wiki.mm.index\n", + "2019-01-30 23:49:37,630 : INFO : initializing cython corpus reader from wiki.mm\n", + "2019-01-30 23:49:37,630 : INFO : accepted corpus with 4924894 documents, 100000 features, 683326444 non-zero entries\n" ] } ], @@ -365,7 +375,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Metrics" + "### Convert corpora to csc and save" ] }, { @@ -374,12 +384,82 @@ "metadata": {}, "outputs": [], "source": [ - "def get_execution_time(func):\n", + "SAVE_CSC = False\n", + "\n", + "if SAVE_CSC:\n", + " train_csc = matutils.corpus2csc(train_corpus, len(dictionary))\n", + " scipy.sparse.save_npz('train_csc.npz', train_csc)\n", + " \n", + " test_csc = matutils.corpus2csc(test_corpus, len(dictionary))\n", + " scipy.sparse.save_npz('test_csc.npz', test_csc)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load csc" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "train_csc = scipy.sparse.load_npz('train_csc.npz')\n", + "test_csc = scipy.sparse.load_npz('test_csc.npz')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "@contextmanager\n", + "def measure_ram(output, tick=2):\n", + " def _measure_ram(pid, output, tick=5):\n", + " py = psutil.Process(pid)\n", + " with open(output, 'w') as outfile:\n", + " while True:\n", + " memory = py.memory_info().rss\n", + " outfile.write(\"{}\\n\".format(memory))\n", + " outfile.flush()\n", + " time.sleep(tick)\n", + "\n", + " pid = os.getpid()\n", + " p = Process(target=_measure_ram, args=(pid, output, tick))\n", + " p.start()\n", + " yield\n", + " p.terminate()\n", + "\n", + "def get_train_time_and_ram(func, name):\n", + " memprof_filename = \"{}.memprof\".format(name)\n", + " \n", " start = time.time()\n", "\n", - " result = func()\n", + " with measure_ram(memprof_filename, 5):\n", + " result = func() \n", + " \n", + " elapsed_time = pd.to_timedelta(time.time() - start, unit='s').round('s')\n", + " \n", + " memprof_df = pd.read_csv(memprof_filename, squeeze=True)\n", + " \n", + " mean_ram = \"{} MB\".format(\n", + " memprof_df.mean() // 2**20,\n", + " )\n", + " \n", + " max_ram = \"{} MB\".format(memprof_df.max() // 2**20)\n", "\n", - " return (time.time() - start), result\n", + " return elapsed_time, mean_ram, max_ram, result\n", "\n", "\n", "def get_tm_metrics(model, test_corpus):\n", @@ -406,15 +486,12 @@ " coherence='u_mass'\n", " ).get_coherence()\n", "\n", - " topics = model.show_topics()\n", - "\n", " model.normalize = False\n", "\n", " return dict(\n", - " perplexity=perplexity,\n", - " coherence=coherence,\n", - " topics=topics,\n", - " l2_norm=l2_norm,\n", + " perplexity=round(perplexity, 4),\n", + " coherence=round(coherence, 4),\n", + " l2_norm=round(l2_norm, 4),\n", " )\n", "\n", "\n", @@ -423,7 +500,26 @@ "\n", "\n", "def get_tm_l2_norm(pred_factors, dense_corpus):\n", - " return np.linalg.norm(dense_corpus / dense_corpus.sum(axis=0) - pred_factors)" + " return np.linalg.norm(dense_corpus / dense_corpus.sum(axis=0) - pred_factors)\n", + "\n", + "\n", + "def get_sklearn_metrics(model, test_corpus):\n", + " W = model.components_.T\n", + " H = model.transform((test_corpus / test_corpus.sum(axis=0)).T).T\n", + " pred_factors = W.dot(H)\n", + " pred_factors /= pred_factors.sum(axis=0)\n", + "\n", + " perplexity = np.exp(\n", + " -(np.log(pred_factors, where=pred_factors > 0) * test_corpus).sum()\n", + " / test_corpus.sum()\n", + " )\n", + "\n", + " l2_norm = np.linalg.norm(test_corpus / test_corpus.sum(axis=0) - pred_factors)\n", + "\n", + " return dict(\n", + " perplexity=perplexity,\n", + " l2_norm=l2_norm,\n", + " )" ] }, { @@ -435,7 +531,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -446,12 +542,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Define common params for models" + "### Define common params for the models" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -478,230 +574,296 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Train NMF and save it\n", + "### Train Gensim NMF and save it\n", "Normalization is turned off to compute metrics correctly" ] }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2019-01-15 19:33:21,875 : INFO : Loss (no outliers): 2186.768444126956\tLoss (with outliers): 2186.768444126956\n", - "2019-01-15 19:34:49,514 : INFO : Loss (no outliers): 2298.434152045061\tLoss (with outliers): 2298.434152045061\n", - "==Truncated==\n", - "2019-01-15 20:44:23,913 : INFO : Loss (no outliers): 1322.9664709183141\tLoss (with outliers): 1322.9664709183141\n", - "2019-01-15 20:44:23,928 : INFO : saving Nmf object under nmf.model, separately None\n", - "2019-01-15 20:44:24,625 : INFO : saved nmf.model\n" - ] - } - ], - "source": [ - "row = dict()\n", - "row['model'] = 'nmf'\n", - "row['train_time'], nmf = get_execution_time(\n", - " lambda: Nmf(\n", - " use_r=False,\n", - " normalize=False,\n", - " **params\n", - " )\n", - ")\n", - "nmf.save('nmf.model')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load NMF and store metrics" - ] - }, - { - "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2019-01-15 20:44:24,872 : INFO : loading Nmf object from nmf.model\n", - "2019-01-15 20:44:25,150 : INFO : loading id2word recursively from nmf.model.id2word.* with mmap=None\n", - "2019-01-15 20:44:25,151 : INFO : loaded nmf.model\n", - "2019-01-15 20:44:54,148 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-15 20:44:54,336 : INFO : CorpusAccumulator accumulated stats from 2000 documents\n" + "2019-01-30 23:50:41,538 : INFO : Loss: 0.9592283350028137\n", + "2019-01-30 23:51:07,841 : INFO : Loss: 0.9654052723463945\n", + "2019-01-30 23:51:19,986 : INFO : Loss: 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0.024*\"player\" + 0.024*\"william\" + 0.023*\"singer\" + 0.019*\"actor\" + 0.017*\"politician\" + 0.015*\"actress\" + 0.013*\"english\"'),\n", - " (43,\n", - " '0.044*\"march\" + 0.042*\"septemb\" + 0.036*\"octob\" + 0.033*\"januari\" + 0.032*\"april\" + 0.031*\"august\" + 0.031*\"juli\" + 0.029*\"novemb\" + 0.029*\"june\" + 0.028*\"decemb\"'),\n", - " (44,\n", - " '0.149*\"island\" + 0.013*\"south\" + 0.013*\"australia\" + 0.009*\"sea\" + 0.008*\"north\" + 0.008*\"bai\" + 0.008*\"western\" + 0.008*\"airport\" + 0.007*\"coast\" + 0.006*\"pacif\"'),\n", - " (45,\n", - " '0.028*\"studi\" + 0.026*\"research\" + 0.023*\"health\" + 0.019*\"human\" + 0.019*\"term\" + 0.019*\"develop\" + 0.018*\"includ\" + 0.018*\"peopl\" + 0.017*\"report\" + 0.017*\"cell\"'),\n", - " (46,\n", - " '0.112*\"school\" + 0.028*\"high\" + 0.016*\"student\" + 0.012*\"educ\" + 0.009*\"grade\" + 0.008*\"primari\" + 0.007*\"public\" + 0.006*\"colleg\" + 0.006*\"elementari\" + 0.006*\"pennsylvania\"'),\n", - " (47,\n", - " '0.137*\"royal\" + 0.121*\"capt\" + 0.103*\"armi\" + 0.090*\"maj\" + 0.089*\"corp\" + 0.075*\"col\" + 0.074*\"temp\" + 0.048*\"servic\" + 0.040*\"engin\" + 0.033*\"reg\"'),\n", - " (48,\n", - " '0.183*\"art\" + 0.117*\"museum\" + 0.071*\"paint\" + 0.062*\"work\" + 0.046*\"artist\" + 0.043*\"galleri\" + 0.040*\"exhibit\" + 0.034*\"collect\" + 0.027*\"histori\" + 0.022*\"jpg\"'),\n", - " (49,\n", - " '0.068*\"regiment\" + 0.062*\"divis\" + 0.049*\"battalion\" + 0.045*\"infantri\" + 0.036*\"brigad\" + 0.024*\"armi\" + 0.023*\"artilleri\" + 0.019*\"compani\" + 0.018*\"gener\" + 0.018*\"colonel\"')]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nmf = Nmf.load('nmf.model')\n", - "row.update(get_tm_metrics(nmf, test_corpus))\n", - "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)\n", - "\n", - "nmf.show_topics(50)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Train NMF with residuals and save it\n", - "Residuals add regularization to the model thus increasing quality, but slows down training" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "scrolled": false - }, - "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "2019-01-15 20:54:05,363 : INFO : Loss (no outliers): 2179.9524465227146\tLoss (with outliers): 2102.354108449905\n", - "2019-01-15 20:57:12,821 : INFO : Loss (no outliers): 2268.3200929871823\tLoss (with outliers): 2110.928651253909\n", - "==Truncated==\n", - "2019-01-16 04:05:46,589 : INFO : Loss (no outliers): 1321.521323758918\tLoss (with outliers): 1282.9364495345592\n", - "2019-01-16 04:05:46,599 : INFO : saving Nmf object under nmf_with_r.model, separately None\n", - "2019-01-16 04:05:46,601 : INFO : storing scipy.sparse array '_r' under nmf_with_r.model._r.npy\n", - "2019-01-16 04:05:47,781 : INFO : saved nmf_with_r.model\n" + "2019-01-31 00:05:47,007 : INFO : Loss: 0.9996352155288082\n", + "2019-01-31 00:05:52,261 : INFO : Loss: 1.0004395613185166\n", + "2019-01-31 00:05:57,342 : INFO : Loss: 1.0\n", + "2019-01-31 00:06:02,548 : INFO : Loss: 0.9998527076273703\n", + "2019-01-31 00:06:07,609 : INFO : Loss: 0.9996924850765493\n", + "2019-01-31 00:06:12,841 : INFO : Loss: 0.9998465986185003\n", + "2019-01-31 00:06:18,157 : INFO : Loss: 0.9997732510121399\n", + "2019-01-31 00:06:23,211 : INFO : Loss: 0.9997941508395527\n", + "2019-01-31 00:06:28,233 : INFO : Loss: 0.9995770839553472\n", + "2019-01-31 00:06:33,449 : INFO : Loss: 0.9997390770111323\n", + "2019-01-31 00:06:38,821 : INFO : Loss: 0.9997499890547042\n", + "2019-01-31 00:06:43,967 : INFO : Loss: 1.0002122989122686\n", + "2019-01-31 00:06:48,974 : INFO : Loss: 1.0\n", + "2019-01-31 00:06:54,205 : INFO : Loss: 0.9996768801524232\n", + "2019-01-31 00:06:59,422 : INFO : Loss: 0.9998134505747993\n", + "2019-01-31 00:07:04,626 : INFO : Loss: 1.0001153274263432\n", + "2019-01-31 00:07:09,638 : INFO : Loss: 0.9997996517667606\n", + "2019-01-31 00:07:14,849 : INFO : Loss: 0.9998403875727927\n", + "2019-01-31 00:07:20,090 : INFO : Loss: 0.9996267017145936\n", + "2019-01-31 00:07:25,508 : INFO : Loss: 0.9997907577614406\n", + "2019-01-31 00:07:30,734 : INFO : Loss: 0.9997841500239624\n", + "2019-01-31 00:07:36,017 : INFO : Loss: 1.0\n", + "2019-01-31 00:07:41,135 : INFO : Loss: 0.9997873958125003\n", + "2019-01-31 00:07:46,540 : INFO : Loss: 0.9997595467577249\n", + "2019-01-31 00:07:51,748 : INFO : Loss: 0.999873831646166\n", + "2019-01-31 00:07:57,127 : INFO : Loss: 0.9998347951106515\n", + "2019-01-31 00:08:02,303 : INFO : Loss: 0.9998140553862679\n", + "2019-01-31 00:08:07,383 : INFO : Loss: 1.0\n", + "2019-01-31 00:08:12,659 : INFO : Loss: 0.9998790606131965\n", + "2019-01-31 00:08:17,961 : INFO : Loss: 1.0012735986432386\n", + "2019-01-31 00:08:23,045 : INFO : Loss: 0.999858411002553\n", + "2019-01-31 00:08:28,185 : INFO : Loss: 1.0\n", + "2019-01-31 00:08:33,478 : INFO : 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0.9998438578968686\n", + "2019-01-31 00:11:28,865 : INFO : Loss: 0.9998068614306783\n", + "2019-01-31 00:11:34,139 : INFO : Loss: 1.0004395455200112\n", + "2019-01-31 00:11:39,209 : INFO : Loss: 0.9998766923098149\n", + "2019-01-31 00:11:44,425 : INFO : Loss: 0.9997906796629782\n", + "2019-01-31 00:11:49,535 : INFO : Loss: 1.0001801536949044\n", + "2019-01-31 00:11:54,579 : INFO : Loss: 1.0001437620714628\n", + "2019-01-31 00:11:59,748 : INFO : Loss: 1.0\n", + "2019-01-31 00:12:04,987 : INFO : Loss: 0.999884636287942\n", + "2019-01-31 00:12:10,210 : INFO : Loss: 0.9998901577816464\n", + "2019-01-31 00:12:15,452 : INFO : Loss: 0.9998956750880632\n", + "2019-01-31 00:12:20,596 : INFO : Loss: 1.000601359253442\n", + "2019-01-31 00:12:25,881 : INFO : Loss: 0.9998337004095269\n", + "2019-01-31 00:12:31,113 : INFO : Loss: 0.9997855646540594\n", + "2019-01-31 00:12:36,300 : INFO : Loss: 0.9998248266745982\n", + "2019-01-31 00:12:41,551 : INFO : Loss: 0.999853040713727\n", + "2019-01-31 00:12:46,496 : INFO : Loss: 1.0\n", + "2019-01-31 00:12:51,501 : INFO : Loss: 1.0\n", + "2019-01-31 00:12:56,720 : INFO : Loss: 0.9998980680510154\n", + "2019-01-31 00:13:01,810 : INFO : Loss: 0.9997133093239652\n", + "2019-01-31 00:13:06,749 : INFO : Loss: 1.0001004306361925\n", + "2019-01-31 00:13:12,510 : INFO : Loss: 0.9998121380431872\n", + "2019-01-31 00:13:17,541 : INFO : Loss: 1.000437901798028\n", + "2019-01-31 00:13:22,733 : INFO : Loss: 0.9998402614113828\n", + "2019-01-31 00:13:27,866 : INFO : Loss: 0.9998710291755407\n", + "2019-01-31 00:13:32,989 : INFO : Loss: 1.000374596112327\n", + "2019-01-31 00:13:38,039 : INFO : Loss: 0.9998417020643313\n", + "2019-01-31 00:13:43,181 : INFO : Loss: 0.9998518749352925\n", + "2019-01-31 00:13:48,367 : INFO : Loss: 1.0\n", + "2019-01-31 00:13:53,164 : INFO : Loss: 1.0001097961478265\n", + "2019-01-31 00:13:58,309 : INFO : Loss: 1.000755562323596\n", + "2019-01-31 00:14:03,222 : INFO : Loss: 1.0001917822169584\n", + "2019-01-31 00:14:08,151 : INFO : Loss: 1.0\n", + "2019-01-31 00:14:13,369 : INFO : Loss: 1.0001054497548354\n", + "2019-01-31 00:14:18,332 : INFO : Loss: 1.0\n", + "2019-01-31 00:14:19,114 : INFO : Loss: 0.9997699788421133\n", + "2019-01-31 00:14:19,127 : INFO : saving Nmf object under gensim_nmf.model, separately None\n", + "2019-01-31 00:14:19,520 : INFO : saved gensim_nmf.model\n" ] } ], "source": [ "row = dict()\n", - "row['model'] = 'nmf_with_r'\n", - "row['train_time'], nmf_with_r = get_execution_time(\n", - " lambda: Nmf(\n", - " use_r=True,\n", - " lambda_=200,\n", + "row['model'] = 'gensim_nmf'\n", + "row['train_time'], row['mean_ram'], row['max_ram'], nmf = get_train_time_and_ram(\n", + " lambda: GensimNmf(\n", " normalize=False,\n", " **params\n", - " )\n", + " ),\n", + " 'gensim_nmf',\n", ")\n", - "nmf_with_r.save('nmf_with_r.model')" + "\n", + "nmf.save('gensim_nmf.model')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Load NMF with residuals and store metrics" + "### Load Gensim NMF and store metrics" ] }, { @@ -713,130 +875,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-16 04:05:48,017 : INFO : loading Nmf object from nmf_with_r.model\n", - "2019-01-16 04:05:48,272 : INFO : loading id2word recursively from nmf_with_r.model.id2word.* with mmap=None\n", - "2019-01-16 04:05:48,273 : INFO : loading _r from nmf_with_r.model._r.npy with mmap=None\n", - "2019-01-16 04:05:48,304 : INFO : loaded nmf_with_r.model\n", - "2019-01-16 04:06:27,119 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-16 04:06:27,253 : INFO : CorpusAccumulator accumulated stats from 2000 documents\n" + "2019-01-31 00:14:19,539 : INFO : loading Nmf object from gensim_nmf.model\n", + "2019-01-31 00:14:19,856 : INFO : loading id2word recursively from gensim_nmf.model.id2word.* with mmap=None\n", + "2019-01-31 00:14:19,856 : INFO : loaded gensim_nmf.model\n", + "/home/anotherbugmaster/gensim/gensim/matutils.py:503: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + " result = np.column_stack(sparse2full(doc, num_terms) for doc in corpus)\n", + "2019-01-31 00:14:59,973 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", + "2019-01-31 00:15:00,082 : INFO : CorpusAccumulator accumulated stats from 2000 documents\n" ] - }, - { - "data": { - "text/plain": [ - "[(0,\n", - " '0.062*\"parti\" + 0.061*\"elect\" + 0.031*\"democrat\" + 0.020*\"republican\" + 0.020*\"vote\" + 0.013*\"liber\" + 0.012*\"candid\" + 0.012*\"conserv\" + 0.011*\"seat\" + 0.010*\"member\"'),\n", - " (1,\n", - " '0.052*\"book\" + 0.040*\"centuri\" + 0.039*\"publish\" + 0.031*\"languag\" + 0.027*\"histori\" + 0.025*\"work\" + 0.023*\"english\" + 0.022*\"king\" + 0.019*\"polit\" + 0.019*\"author\"'),\n", - " (2,\n", - " '0.031*\"armi\" + 0.028*\"divis\" + 0.025*\"regiment\" + 0.022*\"forc\" + 0.020*\"battalion\" + 0.019*\"infantri\" + 0.019*\"command\" + 0.017*\"brigad\" + 0.016*\"gener\" + 0.012*\"corp\"'),\n", - " (3,\n", - " '0.110*\"race\" + 0.059*\"car\" + 0.033*\"engin\" + 0.025*\"lap\" + 0.023*\"driver\" + 0.021*\"ret\" + 0.020*\"ford\" + 0.015*\"finish\" + 0.015*\"motorsport\" + 0.015*\"chevrolet\"'),\n", - " (4,\n", - " '0.130*\"club\" + 0.068*\"cup\" + 0.046*\"footbal\" + 0.044*\"goal\" + 0.032*\"leagu\" + 0.031*\"unit\" + 0.031*\"plai\" + 0.030*\"match\" + 0.026*\"score\" + 0.021*\"player\"'),\n", - " (5,\n", - " '0.041*\"award\" + 0.030*\"best\" + 0.006*\"nomin\" + 0.005*\"actress\" + 0.005*\"year\" + 0.004*\"actor\" + 0.004*\"won\" + 0.004*\"perform\" + 0.003*\"outstand\" + 0.003*\"artist\"'),\n", - " (6,\n", - " '0.087*\"citi\" + 0.013*\"town\" + 0.009*\"popul\" + 0.008*\"area\" + 0.007*\"san\" + 0.006*\"center\" + 0.006*\"airport\" + 0.006*\"unit\" + 0.006*\"locat\" + 0.005*\"municip\"'),\n", - " (7,\n", - " '0.171*\"act\" + 0.021*\"amend\" + 0.018*\"order\" + 0.010*\"ireland\" + 0.009*\"law\" + 0.007*\"court\" + 0.007*\"regul\" + 0.006*\"road\" + 0.006*\"scotland\" + 0.006*\"nation\"'),\n", - " (8,\n", - " '0.064*\"leagu\" + 0.014*\"divis\" + 0.012*\"left\" + 0.011*\"align\" + 0.009*\"basebal\" + 0.008*\"footbal\" + 0.007*\"run\" + 0.007*\"major\" + 0.005*\"home\" + 0.005*\"hit\"'),\n", - " (9,\n", - " '0.086*\"team\" + 0.013*\"championship\" + 0.007*\"nation\" + 0.007*\"race\" + 0.007*\"coach\" + 0.005*\"time\" + 0.004*\"sport\" + 0.004*\"ret\" + 0.004*\"player\" + 0.004*\"match\"'),\n", - " (10,\n", - " '0.100*\"episod\" + 0.055*\"compani\" + 0.021*\"product\" + 0.011*\"produc\" + 0.011*\"televis\" + 0.009*\"role\" + 0.009*\"busi\" + 0.008*\"market\" + 0.008*\"corpor\" + 0.007*\"bank\"'),\n", - " (11,\n", - " '0.050*\"new\" + 0.017*\"york\" + 0.003*\"zealand\" + 0.003*\"jersei\" + 0.002*\"time\" + 0.002*\"radio\" + 0.002*\"broadcast\" + 0.002*\"station\" + 0.002*\"washington\" + 0.002*\"australia\"'),\n", - " (12,\n", - " '0.035*\"final\" + 0.033*\"world\" + 0.030*\"round\" + 0.030*\"championship\" + 0.025*\"win\" + 0.025*\"match\" + 0.021*\"open\" + 0.017*\"won\" + 0.016*\"tournament\" + 0.015*\"event\"'),\n", - " (13,\n", - " '0.020*\"record\" + 0.019*\"band\" + 0.015*\"album\" + 0.007*\"releas\" + 0.007*\"guitar\" + 0.006*\"tour\" + 0.005*\"rock\" + 0.005*\"vocal\" + 0.004*\"plai\" + 0.004*\"live\"'),\n", - " (14,\n", - " '0.096*\"church\" + 0.015*\"cathol\" + 0.012*\"christian\" + 0.010*\"saint\" + 0.010*\"bishop\" + 0.009*\"centuri\" + 0.008*\"build\" + 0.007*\"parish\" + 0.007*\"built\" + 0.007*\"roman\"'),\n", - " (15,\n", - " '0.084*\"presid\" + 0.055*\"minist\" + 0.037*\"prime\" + 0.014*\"govern\" + 0.012*\"gener\" + 0.010*\"governor\" + 0.010*\"nation\" + 0.008*\"council\" + 0.008*\"secretari\" + 0.008*\"visit\"'),\n", - " (16,\n", - " '0.089*\"yard\" + 0.035*\"pass\" + 0.035*\"touchdown\" + 0.028*\"field\" + 0.025*\"run\" + 0.023*\"win\" + 0.022*\"score\" + 0.021*\"quarter\" + 0.017*\"record\" + 0.016*\"second\"'),\n", - " (17,\n", - " '0.042*\"season\" + 0.006*\"plai\" + 0.004*\"coach\" + 0.004*\"final\" + 0.004*\"second\" + 0.004*\"win\" + 0.004*\"record\" + 0.003*\"career\" + 0.003*\"finish\" + 0.003*\"point\"'),\n", - " (18,\n", - " '0.174*\"counti\" + 0.034*\"township\" + 0.014*\"area\" + 0.013*\"statist\" + 0.004*\"texa\" + 0.004*\"ohio\" + 0.004*\"virginia\" + 0.004*\"washington\" + 0.003*\"metropolitan\" + 0.003*\"pennsylvania\"'),\n", - " (19,\n", - " '0.012*\"water\" + 0.010*\"area\" + 0.010*\"speci\" + 0.007*\"larg\" + 0.006*\"order\" + 0.006*\"region\" + 0.006*\"includ\" + 0.005*\"black\" + 0.005*\"famili\" + 0.005*\"popul\"'),\n", - " (20,\n", - " '0.020*\"us\" + 0.015*\"gener\" + 0.014*\"design\" + 0.014*\"model\" + 0.012*\"develop\" + 0.012*\"time\" + 0.012*\"data\" + 0.011*\"number\" + 0.011*\"function\" + 0.011*\"process\"'),\n", - " (21,\n", - " '0.165*\"group\" + 0.023*\"left\" + 0.022*\"align\" + 0.021*\"member\" + 0.017*\"text\" + 0.015*\"bar\" + 0.011*\"order\" + 0.011*\"point\" + 0.010*\"till\" + 0.009*\"stage\"'),\n", - " (22,\n", - " '0.095*\"film\" + 0.009*\"director\" + 0.008*\"star\" + 0.008*\"movi\" + 0.008*\"product\" + 0.008*\"festiv\" + 0.008*\"releas\" + 0.008*\"produc\" + 0.007*\"direct\" + 0.006*\"featur\"'),\n", - " (23,\n", - " '0.107*\"music\" + 0.024*\"perform\" + 0.019*\"piano\" + 0.018*\"song\" + 0.017*\"compos\" + 0.017*\"orchestra\" + 0.017*\"viola\" + 0.012*\"plai\" + 0.011*\"radio\" + 0.011*\"danc\"'),\n", - " (24,\n", - " '0.023*\"septemb\" + 0.023*\"march\" + 0.020*\"octob\" + 0.020*\"juli\" + 0.019*\"june\" + 0.019*\"april\" + 0.019*\"august\" + 0.018*\"januari\" + 0.018*\"novemb\" + 0.017*\"decemb\"'),\n", - " (25,\n", - " '0.078*\"air\" + 0.041*\"forc\" + 0.031*\"aircraft\" + 0.027*\"squadron\" + 0.026*\"oper\" + 0.021*\"unit\" + 0.016*\"base\" + 0.016*\"wing\" + 0.016*\"flight\" + 0.015*\"fighter\"'),\n", - " (26,\n", - " '0.101*\"hous\" + 0.023*\"build\" + 0.021*\"term\" + 0.015*\"member\" + 0.014*\"serv\" + 0.014*\"march\" + 0.014*\"left\" + 0.012*\"congress\" + 0.011*\"hall\" + 0.010*\"street\"'),\n", - " (27,\n", - " '0.123*\"district\" + 0.024*\"pennsylvania\" + 0.019*\"grade\" + 0.016*\"educ\" + 0.015*\"fund\" + 0.014*\"basic\" + 0.013*\"level\" + 0.011*\"student\" + 0.011*\"receiv\" + 0.010*\"tax\"'),\n", - " (28,\n", - " '0.048*\"year\" + 0.007*\"dai\" + 0.005*\"time\" + 0.005*\"ag\" + 0.003*\"month\" + 0.003*\"old\" + 0.003*\"student\" + 0.003*\"includ\" + 0.003*\"later\" + 0.002*\"million\"'),\n", - " (29,\n", - " '0.090*\"line\" + 0.083*\"station\" + 0.054*\"road\" + 0.053*\"railwai\" + 0.036*\"rout\" + 0.030*\"train\" + 0.027*\"oper\" + 0.020*\"street\" + 0.016*\"servic\" + 0.016*\"open\"'),\n", - " (30,\n", - " '0.031*\"park\" + 0.030*\"south\" + 0.030*\"north\" + 0.023*\"west\" + 0.020*\"river\" + 0.020*\"east\" + 0.015*\"area\" + 0.014*\"town\" + 0.013*\"lake\" + 0.013*\"nation\"'),\n", - " (31,\n", - " '0.071*\"women\" + 0.041*\"men\" + 0.027*\"nation\" + 0.023*\"right\" + 0.012*\"countri\" + 0.012*\"intern\" + 0.012*\"athlet\" + 0.011*\"advanc\" + 0.011*\"rank\" + 0.010*\"law\"'),\n", - " (32,\n", - " '0.104*\"linear\" + 0.104*\"socorro\" + 0.025*\"septemb\" + 0.020*\"neat\" + 0.018*\"palomar\" + 0.018*\"octob\" + 0.013*\"decemb\" + 0.013*\"august\" + 0.012*\"anderson\" + 0.012*\"mesa\"'),\n", - " (33,\n", - " '0.089*\"univers\" + 0.011*\"scienc\" + 0.009*\"institut\" + 0.008*\"research\" + 0.008*\"professor\" + 0.006*\"student\" + 0.005*\"technolog\" + 0.005*\"faculti\" + 0.005*\"studi\" + 0.005*\"engin\"'),\n", - " (34,\n", - " '0.064*\"state\" + 0.024*\"unit\" + 0.005*\"court\" + 0.005*\"law\" + 0.004*\"feder\" + 0.003*\"nation\" + 0.003*\"govern\" + 0.002*\"senat\" + 0.002*\"california\" + 0.002*\"constitut\"'),\n", - " (35,\n", - " '0.085*\"colleg\" + 0.019*\"univers\" + 0.014*\"student\" + 0.008*\"campu\" + 0.007*\"institut\" + 0.006*\"educ\" + 0.005*\"hall\" + 0.005*\"program\" + 0.005*\"commun\" + 0.005*\"state\"'),\n", - " (36,\n", - " '0.118*\"class\" + 0.079*\"director\" + 0.053*\"rifl\" + 0.050*\"south\" + 0.048*\"×mm\" + 0.046*\"action\" + 0.045*\"san\" + 0.044*\"actor\" + 0.041*\"angel\" + 0.037*\"lo\"'),\n", - " (37,\n", - " '0.092*\"servic\" + 0.025*\"offic\" + 0.023*\"commun\" + 0.013*\"john\" + 0.012*\"chief\" + 0.011*\"polic\" + 0.011*\"public\" + 0.011*\"british\" + 0.010*\"late\" + 0.010*\"director\"'),\n", - " (38,\n", - " '0.156*\"royal\" + 0.072*\"william\" + 0.068*\"john\" + 0.058*\"corp\" + 0.051*\"lieuten\" + 0.046*\"capt\" + 0.041*\"engin\" + 0.041*\"armi\" + 0.039*\"georg\" + 0.039*\"temp\"'),\n", - " (39,\n", - " '0.042*\"song\" + 0.039*\"album\" + 0.034*\"releas\" + 0.029*\"singl\" + 0.024*\"chart\" + 0.013*\"number\" + 0.011*\"video\" + 0.010*\"love\" + 0.010*\"featur\" + 0.010*\"track\"'),\n", - " (40,\n", - " '0.028*\"time\" + 0.025*\"later\" + 0.023*\"kill\" + 0.019*\"appear\" + 0.018*\"man\" + 0.016*\"death\" + 0.016*\"father\" + 0.015*\"return\" + 0.015*\"son\" + 0.014*\"charact\"'),\n", - " (41,\n", - " '0.110*\"seri\" + 0.016*\"charact\" + 0.016*\"episod\" + 0.015*\"comic\" + 0.013*\"televis\" + 0.012*\"anim\" + 0.011*\"appear\" + 0.009*\"stori\" + 0.009*\"origin\" + 0.009*\"featur\"'),\n", - " (42,\n", - " '0.091*\"born\" + 0.070*\"american\" + 0.022*\"player\" + 0.021*\"footbal\" + 0.020*\"william\" + 0.016*\"actor\" + 0.014*\"politician\" + 0.014*\"singer\" + 0.013*\"john\" + 0.012*\"actress\"'),\n", - " (43,\n", - " '0.072*\"game\" + 0.017*\"player\" + 0.011*\"plai\" + 0.004*\"releas\" + 0.004*\"point\" + 0.004*\"develop\" + 0.004*\"score\" + 0.003*\"video\" + 0.003*\"time\" + 0.003*\"card\"'),\n", - " (44,\n", - " '0.110*\"island\" + 0.007*\"australia\" + 0.007*\"ship\" + 0.007*\"south\" + 0.007*\"sea\" + 0.006*\"bai\" + 0.005*\"coast\" + 0.004*\"pacif\" + 0.004*\"western\" + 0.004*\"british\"'),\n", - " (45,\n", - " '0.029*\"health\" + 0.028*\"studi\" + 0.027*\"research\" + 0.022*\"peopl\" + 0.020*\"human\" + 0.019*\"medic\" + 0.019*\"cell\" + 0.018*\"report\" + 0.018*\"ag\" + 0.017*\"includ\"'),\n", - " (46,\n", - " '0.113*\"school\" + 0.025*\"high\" + 0.014*\"student\" + 0.011*\"educ\" + 0.007*\"grade\" + 0.006*\"public\" + 0.005*\"elementari\" + 0.005*\"primari\" + 0.004*\"pennsylvania\" + 0.004*\"teacher\"'),\n", - " (47,\n", - " '0.050*\"war\" + 0.021*\"german\" + 0.017*\"american\" + 0.016*\"british\" + 0.016*\"world\" + 0.012*\"french\" + 0.010*\"battl\" + 0.010*\"germani\" + 0.009*\"ship\" + 0.009*\"soviet\"'),\n", - " (48,\n", - " '0.174*\"art\" + 0.099*\"museum\" + 0.058*\"paint\" + 0.057*\"work\" + 0.044*\"artist\" + 0.041*\"galleri\" + 0.038*\"exhibit\" + 0.031*\"collect\" + 0.023*\"histori\" + 0.021*\"design\"'),\n", - " (49,\n", - " '0.067*\"peak\" + 0.066*\"kitt\" + 0.066*\"mount\" + 0.066*\"spacewatch\" + 0.065*\"lemmon\" + 0.033*\"survei\" + 0.026*\"octob\" + 0.024*\"septemb\" + 0.015*\"novemb\" + 0.012*\"march\"')]" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ - "nmf_with_r = Nmf.load('nmf_with_r.model')\n", - "row.update(get_tm_metrics(nmf_with_r, test_corpus))\n", - "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)\n", - "\n", - "nmf_with_r.show_topics(50)" + "nmf = GensimNmf.load('gensim_nmf.model')\n", + "row.update(get_tm_metrics(nmf, test_corpus))\n", + "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)" ] }, { @@ -856,428 +908,22602 @@ "name": "stderr", "output_type": "stream", "text": [ - "2019-01-16 04:06:27,576 : INFO : using symmetric alpha at 0.02\n", - "2019-01-16 04:06:27,576 : INFO : using symmetric eta at 0.02\n", - "2019-01-16 04:06:27,589 : INFO : using serial LDA version on this node\n", - "2019-01-16 04:06:28,185 : INFO : running online (single-pass) LDA training, 50 topics, 1 passes over the supplied corpus of 4922894 documents, updating model once every 2000 documents, evaluating perplexity every 20000 documents, iterating 50x with a convergence threshold of 0.001000\n", - "2019-01-16 04:06:28,910 : INFO : PROGRESS: pass 0, at document #2000/4922894\n", - "==Truncated==\n", - "2019-01-16 06:24:26,456 : INFO : topic diff=0.003897, rho=0.020154\n", - "2019-01-16 06:24:26,465 : INFO : saving LdaState object under lda.model.state, separately None\n", - "2019-01-16 06:24:26,680 : INFO : saved lda.model.state\n", - "2019-01-16 06:24:26,732 : INFO : saving LdaModel object under lda.model, separately ['expElogbeta', 'sstats']\n", - "2019-01-16 06:24:26,732 : INFO : storing np array 'expElogbeta' to lda.model.expElogbeta.npy\n", - "2019-01-16 06:24:26,812 : INFO : not storing attribute dispatcher\n", - "2019-01-16 06:24:26,814 : INFO : not storing attribute id2word\n", - "2019-01-16 06:24:26,815 : INFO : not storing attribute state\n", - "2019-01-16 06:24:26,828 : INFO : saved lda.model\n" + "2019-01-31 00:15:00,190 : INFO : using symmetric alpha at 0.02\n", + "2019-01-31 00:15:00,192 : INFO : using symmetric eta at 0.02\n", + "2019-01-31 00:15:00,209 : INFO : using serial LDA version on this node\n", + "2019-01-31 00:15:00,734 : INFO : running online (single-pass) LDA training, 50 topics, 1 passes over the supplied corpus of 4922894 documents, updating model once every 2000 documents, evaluating perplexity every 20000 documents, iterating 50x with a convergence threshold of 0.001000\n", + "2019-01-31 00:15:00,890 : INFO : PROGRESS: pass 0, at document #2000/4922894\n", + "2019-01-31 00:15:02,814 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:03,134 : INFO : topic #36 (0.020): 0.006*\"new\" + 0.005*\"reconstruct\" + 0.004*\"serv\" + 0.004*\"includ\" + 0.003*\"yawn\" + 0.003*\"start\" + 0.003*\"depress\" + 0.003*\"word\" + 0.003*\"théori\" + 0.003*\"american\"\n", + "2019-01-31 00:15:03,136 : INFO : topic #19 (0.020): 0.005*\"taxpay\" + 0.005*\"new\" + 0.004*\"nation\" + 0.004*\"start\" + 0.004*\"includ\" + 0.003*\"théori\" + 0.003*\"apocrypha\" + 0.003*\"yawn\" + 0.002*\"unionist\" + 0.002*\"level\"\n", + "2019-01-31 00:15:03,138 : INFO : topic #42 (0.020): 0.004*\"new\" + 0.004*\"teufel\" + 0.004*\"yawn\" + 0.004*\"member\" + 0.003*\"théori\" + 0.003*\"start\" + 0.003*\"workplac\" + 0.003*\"unit\" + 0.003*\"word\" + 0.003*\"nation\"\n", + "2019-01-31 00:15:03,140 : INFO : topic #43 (0.020): 0.006*\"start\" + 0.005*\"yawn\" + 0.005*\"includ\" + 0.005*\"elect\" + 0.003*\"fusiform\" + 0.003*\"nation\" + 0.003*\"scholar\" + 0.003*\"new\" + 0.003*\"rivièr\" + 0.003*\"muscl\"\n", + "2019-01-31 00:15:03,142 : INFO : topic #5 (0.020): 0.010*\"abroad\" + 0.004*\"yawn\" + 0.004*\"new\" + 0.003*\"start\" + 0.003*\"bone\" + 0.003*\"reconstruct\" + 0.003*\"includ\" + 0.003*\"son\" + 0.003*\"rel\" + 0.003*\"charcoal\"\n", + "2019-01-31 00:15:03,150 : INFO : topic diff=40.889942, rho=1.000000\n", + "2019-01-31 00:15:03,325 : INFO : PROGRESS: pass 0, at document #4000/4922894\n", + "2019-01-31 00:15:05,268 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:05,527 : INFO : topic #1 (0.020): 0.007*\"yawn\" + 0.006*\"kosmo\" + 0.005*\"scholar\" + 0.004*\"cabinetmak\" + 0.004*\"taxpay\" + 0.004*\"nathali\" + 0.004*\"optimum\" + 0.004*\"start\" + 0.003*\"march\" + 0.003*\"soyuz\"\n", + "2019-01-31 00:15:05,528 : INFO : topic #33 (0.020): 0.004*\"levi\" + 0.004*\"wreath\" + 0.004*\"start\" + 0.004*\"anglo\" + 0.004*\"bourbon\" + 0.003*\"hofsted\" + 0.003*\"includ\" + 0.003*\"decatur\" + 0.003*\"hesit\" + 0.003*\"workplac\"\n", + "2019-01-31 00:15:05,529 : INFO : topic #15 (0.020): 0.008*\"leagu\" + 0.006*\"goal\" + 0.006*\"start\" + 0.006*\"taxpay\" + 0.006*\"econom\" + 0.004*\"theoret\" + 0.004*\"economi\" + 0.004*\"schuster\" + 0.004*\"develop\" + 0.004*\"resolut\"\n", + "2019-01-31 00:15:05,531 : INFO : topic #14 (0.020): 0.011*\"armi\" + 0.011*\"aggress\" + 0.008*\"airbu\" + 0.008*\"com\" + 0.007*\"forc\" + 0.007*\"unionist\" + 0.006*\"corp\" + 0.006*\"diversifi\" + 0.005*\"fiscal\" + 0.005*\"gener\"\n", + "2019-01-31 00:15:05,532 : INFO : topic #3 (0.020): 0.007*\"start\" + 0.006*\"new\" + 0.005*\"american\" + 0.004*\"walter\" + 0.004*\"nation\" + 0.004*\"yawn\" + 0.004*\"gaa\" + 0.004*\"gener\" + 0.003*\"workplac\" + 0.003*\"diversifi\"\n", + "2019-01-31 00:15:05,537 : INFO : topic diff=0.441109, rho=0.707107\n", + "2019-01-31 00:15:05,696 : INFO : PROGRESS: pass 0, at document #6000/4922894\n", + "2019-01-31 00:15:07,514 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:07,769 : INFO : topic #1 (0.020): 0.007*\"yawn\" + 0.005*\"gabriela\" + 0.005*\"taxpay\" + 0.004*\"optimum\" + 0.004*\"cleveland\" + 0.004*\"kosmo\" + 0.004*\"scholar\" + 0.004*\"champion\" + 0.003*\"questionnair\" + 0.003*\"cabinetmak\"\n", + "2019-01-31 00:15:07,771 : INFO : topic #22 (0.020): 0.013*\"isl\" + 0.012*\"citi\" + 0.011*\"popolo\" + 0.011*\"spars\" + 0.010*\"adulthood\" + 0.010*\"factor\" + 0.008*\"hostil\" + 0.007*\"yawn\" + 0.007*\"area\" + 0.006*\"feel\"\n", + "2019-01-31 00:15:07,772 : INFO : topic #7 (0.020): 0.007*\"darwin\" + 0.006*\"hous\" + 0.005*\"yawn\" + 0.005*\"church\" + 0.005*\"john\" + 0.004*\"member\" + 0.004*\"dai\" + 0.004*\"kangaroo\" + 0.004*\"start\" + 0.004*\"new\"\n", + "2019-01-31 00:15:07,773 : INFO : topic #24 (0.020): 0.012*\"page\" + 0.011*\"do\" + 0.007*\"book\" + 0.006*\"languag\" + 0.006*\"new\" + 0.006*\"nicola\" + 0.005*\"ural\" + 0.005*\"american\" + 0.005*\"publicis\" + 0.004*\"storag\"\n", + "2019-01-31 00:15:07,774 : INFO : topic #4 (0.020): 0.009*\"enfranchis\" + 0.008*\"companhia\" + 0.007*\"new\" + 0.007*\"diagnost\" + 0.005*\"candid\" + 0.005*\"mandir\" + 0.005*\"depress\" + 0.005*\"frozen\" + 0.005*\"wheel\" + 0.005*\"oper\"\n", + "2019-01-31 00:15:07,780 : INFO : topic diff=0.324808, rho=0.577350\n", + "2019-01-31 00:15:07,940 : INFO : PROGRESS: pass 0, at document #8000/4922894\n", + "2019-01-31 00:15:09,689 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:09,949 : INFO : topic #49 (0.020): 0.007*\"area\" + 0.007*\"line\" + 0.006*\"govern\" + 0.006*\"start\" + 0.006*\"warmth\" + 0.006*\"protect\" + 0.005*\"regim\" + 0.005*\"india\" + 0.005*\"statewid\" + 0.005*\"lobe\"\n", + "2019-01-31 00:15:09,950 : INFO : topic #0 (0.020): 0.023*\"statewid\" + 0.022*\"arsen\" + 0.009*\"raid\" + 0.008*\"pain\" + 0.008*\"line\" + 0.007*\"gai\" + 0.007*\"ret\" + 0.006*\"museo\" + 0.005*\"new\" + 0.005*\"centuri\"\n", + "2019-01-31 00:15:09,952 : INFO : topic #25 (0.020): 0.016*\"palmer\" + 0.011*\"mount\" + 0.007*\"mound\" + 0.006*\"includ\" + 0.006*\"spars\" + 0.005*\"area\" + 0.005*\"biom\" + 0.005*\"new\" + 0.004*\"rain\" + 0.004*\"arsen\"\n", + "2019-01-31 00:15:09,953 : INFO : topic #30 (0.020): 0.015*\"cleveland\" + 0.014*\"scientist\" + 0.013*\"leagu\" + 0.013*\"crete\" + 0.013*\"taxpay\" + 0.012*\"place\" + 0.011*\"final\" + 0.011*\"champion\" + 0.010*\"women\" + 0.008*\"rooftop\"\n", + "2019-01-31 00:15:09,954 : INFO : topic #24 (0.020): 0.014*\"book\" + 0.010*\"publicis\" + 0.009*\"page\" + 0.007*\"nicola\" + 0.007*\"languag\" + 0.006*\"new\" + 0.005*\"storag\" + 0.005*\"do\" + 0.005*\"american\" + 0.005*\"ural\"\n", + "2019-01-31 00:15:09,960 : INFO : topic diff=0.256670, rho=0.500000\n", + "2019-01-31 00:15:10,121 : INFO : PROGRESS: pass 0, at document #10000/4922894\n", + "2019-01-31 00:15:11,841 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:12,099 : INFO : topic #35 (0.020): 0.021*\"parti\" + 0.011*\"rural\" + 0.010*\"group\" + 0.010*\"voluntari\" + 0.010*\"elect\" + 0.008*\"district\" + 0.007*\"local\" + 0.007*\"govern\" + 0.006*\"moscow\" + 0.006*\"new\"\n", + "2019-01-31 00:15:12,101 : INFO : topic #24 (0.020): 0.024*\"book\" + 0.015*\"voic\" + 0.013*\"publicis\" + 0.009*\"page\" + 0.007*\"languag\" + 0.007*\"nicola\" + 0.007*\"new\" + 0.006*\"magazin\" + 0.006*\"word\" + 0.006*\"storag\"\n", + "2019-01-31 00:15:12,102 : INFO : topic #39 (0.020): 0.034*\"taxpay\" + 0.023*\"scientist\" + 0.023*\"leagu\" + 0.021*\"clot\" + 0.015*\"place\" + 0.011*\"player\" + 0.010*\"folei\" + 0.009*\"hoar\" + 0.008*\"yawn\" + 0.007*\"fusiform\"\n", + "2019-01-31 00:15:12,104 : INFO : topic #38 (0.020): 0.011*\"aza\" + 0.011*\"teufel\" + 0.008*\"walter\" + 0.007*\"fit\" + 0.006*\"king\" + 0.006*\"deal\" + 0.006*\"start\" + 0.005*\"murder\" + 0.005*\"british\" + 0.005*\"book\"\n", + "2019-01-31 00:15:12,105 : INFO : topic #21 (0.020): 0.006*\"honeymoon\" + 0.006*\"spain\" + 0.006*\"samford\" + 0.005*\"mercier\" + 0.005*\"juan\" + 0.005*\"santa\" + 0.005*\"mexico\" + 0.005*\"rosa\" + 0.005*\"venezuela\" + 0.005*\"josé\"\n", + "2019-01-31 00:15:12,112 : INFO : topic diff=0.237227, rho=0.447214\n", + "2019-01-31 00:15:12,277 : INFO : PROGRESS: pass 0, at document #12000/4922894\n", + "2019-01-31 00:15:13,929 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:14,187 : INFO : topic #1 (0.020): 0.016*\"shu\" + 0.007*\"yawn\" + 0.005*\"argentina\" + 0.005*\"brigitt\" + 0.005*\"åsa\" + 0.004*\"cleveland\" + 0.004*\"taxpay\" + 0.004*\"pledg\" + 0.004*\"rancheria\" + 0.004*\"paraboloid\"\n", + "2019-01-31 00:15:14,189 : INFO : topic #20 (0.020): 0.053*\"scholar\" + 0.017*\"struggl\" + 0.015*\"educ\" + 0.011*\"prognosi\" + 0.010*\"high\" + 0.009*\"woman\" + 0.008*\"yawn\" + 0.007*\"intern\" + 0.006*\"new\" + 0.006*\"nation\"\n", + "2019-01-31 00:15:14,190 : INFO : topic #49 (0.020): 0.010*\"area\" + 0.007*\"line\" + 0.007*\"regim\" + 0.007*\"govern\" + 0.006*\"start\" + 0.006*\"khalsa\" + 0.005*\"india\" + 0.005*\"rosenwald\" + 0.005*\"near\" + 0.005*\"peopl\"\n", + "2019-01-31 00:15:14,192 : INFO : topic #23 (0.020): 0.060*\"audit\" + 0.032*\"best\" + 0.011*\"noll\" + 0.010*\"yawn\" + 0.006*\"michel\" + 0.004*\"muscl\" + 0.004*\"dai\" + 0.004*\"intern\" + 0.004*\"fewer\" + 0.004*\"women\"\n", + "2019-01-31 00:15:14,193 : INFO : topic #10 (0.020): 0.008*\"cdd\" + 0.008*\"fusiform\" + 0.007*\"pathwai\" + 0.006*\"cancer\" + 0.006*\"disco\" + 0.006*\"effect\" + 0.005*\"includ\" + 0.005*\"gastrointestin\" + 0.004*\"théori\" + 0.004*\"uruguayan\"\n" ] - } - ], - "source": [ - "row = dict()\n", - "row['model'] = 'lda'\n", - "row['train_time'], lda = get_execution_time(\n", - " lambda: LdaModel(**params)\n", - ")\n", - "lda.save('lda.model')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load LDA and store metrics" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ + }, { "name": "stderr", "output_type": "stream", "text": [ - "2019-01-16 06:24:27,064 : INFO : loading LdaModel object from lda.model\n", - "2019-01-16 06:24:27,070 : INFO : loading expElogbeta from lda.model.expElogbeta.npy with mmap=None\n", - "2019-01-16 06:24:27,077 : INFO : setting ignored attribute dispatcher to None\n", - "2019-01-16 06:24:27,078 : INFO : setting ignored attribute id2word to None\n", - "2019-01-16 06:24:27,078 : INFO : setting ignored attribute state to None\n", - "2019-01-16 06:24:27,079 : INFO : loaded lda.model\n", - "2019-01-16 06:24:27,079 : INFO : loading LdaState object from lda.model.state\n", - "2019-01-16 06:24:27,173 : INFO : loaded lda.model.state\n", - "2019-01-16 06:24:41,257 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", - "2019-01-16 06:24:41,452 : INFO : CorpusAccumulator accumulated stats from 2000 documents\n" + "2019-01-31 00:15:14,199 : INFO : topic diff=0.220294, rho=0.408248\n", + "2019-01-31 00:15:14,358 : INFO : PROGRESS: pass 0, at document #14000/4922894\n", + "2019-01-31 00:15:16,536 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:16,796 : INFO : topic #39 (0.020): 0.038*\"taxpay\" + 0.025*\"scientist\" + 0.025*\"clot\" + 0.020*\"leagu\" + 0.015*\"place\" + 0.012*\"player\" + 0.012*\"folei\" + 0.010*\"hoar\" + 0.009*\"yawn\" + 0.009*\"basketbal\"\n", + "2019-01-31 00:15:16,797 : INFO : topic #0 (0.020): 0.035*\"statewid\" + 0.031*\"arsen\" + 0.015*\"line\" + 0.014*\"raid\" + 0.012*\"museo\" + 0.012*\"pain\" + 0.012*\"left\" + 0.011*\"alic\" + 0.010*\"word\" + 0.009*\"artist\"\n", + "2019-01-31 00:15:16,798 : INFO : topic #13 (0.020): 0.020*\"sourc\" + 0.018*\"north\" + 0.015*\"weekli\" + 0.013*\"earthworm\" + 0.012*\"castl\" + 0.012*\"lagrang\" + 0.010*\"cotton\" + 0.009*\"vigour\" + 0.008*\"vacant\" + 0.008*\"hormon\"\n", + "2019-01-31 00:15:16,800 : INFO : topic #45 (0.020): 0.015*\"depress\" + 0.007*\"slow\" + 0.006*\"stanc\" + 0.006*\"dendrit\" + 0.006*\"uruguayan\" + 0.005*\"light\" + 0.005*\"pour\" + 0.005*\"warmth\" + 0.004*\"color\" + 0.004*\"encyclopedia\"\n", + "2019-01-31 00:15:16,801 : INFO : topic #12 (0.020): 0.009*\"frontal\" + 0.008*\"number\" + 0.007*\"form\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"uruguayan\" + 0.005*\"exampl\" + 0.005*\"order\" + 0.005*\"differ\" + 0.005*\"théori\"\n", + "2019-01-31 00:15:16,807 : INFO : topic diff=0.214280, rho=0.377964\n", + "2019-01-31 00:15:16,962 : INFO : PROGRESS: pass 0, at document #16000/4922894\n", + "2019-01-31 00:15:18,538 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:18,797 : INFO : topic #13 (0.020): 0.021*\"sourc\" + 0.018*\"north\" + 0.015*\"earthworm\" + 0.015*\"weekli\" + 0.015*\"lagrang\" + 0.012*\"castl\" + 0.010*\"cotton\" + 0.009*\"hormon\" + 0.009*\"vigour\" + 0.008*\"vacant\"\n", + "2019-01-31 00:15:18,798 : INFO : topic #40 (0.020): 0.052*\"unit\" + 0.022*\"collector\" + 0.019*\"start\" + 0.010*\"new\" + 0.009*\"american\" + 0.009*\"scholar\" + 0.008*\"institut\" + 0.006*\"word\" + 0.006*\"terri\" + 0.006*\"governor\"\n", + "2019-01-31 00:15:18,799 : INFO : topic #45 (0.020): 0.019*\"depress\" + 0.008*\"cat\" + 0.007*\"light\" + 0.006*\"uruguayan\" + 0.005*\"pour\" + 0.005*\"cambridg\" + 0.005*\"hade\" + 0.005*\"warmth\" + 0.004*\"slow\" + 0.004*\"stanc\"\n", + "2019-01-31 00:15:18,800 : INFO : topic #33 (0.020): 0.011*\"wreath\" + 0.010*\"french\" + 0.010*\"chemic\" + 0.007*\"lazi\" + 0.007*\"diphthong\" + 0.007*\"lebanon\" + 0.007*\"arbroath\" + 0.007*\"sauc\" + 0.006*\"mcdonald\" + 0.005*\"daphn\"\n", + "2019-01-31 00:15:18,801 : INFO : topic #19 (0.020): 0.009*\"pour\" + 0.006*\"anim\" + 0.006*\"uruguayan\" + 0.005*\"form\" + 0.005*\"charact\" + 0.005*\"bodi\" + 0.005*\"like\" + 0.004*\"person\" + 0.004*\"act\" + 0.004*\"origin\"\n", + "2019-01-31 00:15:18,807 : INFO : topic diff=0.231270, rho=0.353553\n", + "2019-01-31 00:15:18,964 : INFO : PROGRESS: pass 0, at document #18000/4922894\n", + "2019-01-31 00:15:20,562 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:20,821 : INFO : topic #36 (0.020): 0.024*\"elegan\" + 0.018*\"companhia\" + 0.010*\"serv\" + 0.008*\"manag\" + 0.007*\"market\" + 0.007*\"produc\" + 0.007*\"new\" + 0.007*\"oper\" + 0.006*\"network\" + 0.006*\"develop\"\n", + "2019-01-31 00:15:20,823 : INFO : topic #20 (0.020): 0.065*\"scholar\" + 0.020*\"struggl\" + 0.019*\"educ\" + 0.013*\"prognosi\" + 0.012*\"high\" + 0.010*\"yawn\" + 0.009*\"woman\" + 0.007*\"pseudo\" + 0.006*\"intern\" + 0.006*\"commun\"\n", + "2019-01-31 00:15:20,823 : INFO : topic #23 (0.020): 0.081*\"audit\" + 0.045*\"best\" + 0.018*\"noll\" + 0.015*\"yawn\" + 0.010*\"kri\" + 0.007*\"women\" + 0.007*\"tokyo\" + 0.006*\"winner\" + 0.006*\"prison\" + 0.006*\"dai\"\n", + "2019-01-31 00:15:20,825 : INFO : topic #21 (0.020): 0.015*\"spain\" + 0.015*\"samford\" + 0.013*\"mexico\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"del\" + 0.010*\"josé\" + 0.009*\"misconcept\" + 0.007*\"plung\" + 0.007*\"soviet\"\n", + "2019-01-31 00:15:20,826 : INFO : topic #40 (0.020): 0.051*\"unit\" + 0.022*\"collector\" + 0.018*\"start\" + 0.011*\"american\" + 0.010*\"new\" + 0.009*\"scholar\" + 0.008*\"institut\" + 0.007*\"word\" + 0.007*\"terri\" + 0.007*\"governor\"\n", + "2019-01-31 00:15:20,831 : INFO : topic diff=0.230670, rho=0.333333\n", + "2019-01-31 00:15:23,694 : INFO : -11.706 per-word bound, 3341.9 perplexity estimate based on a held-out corpus of 2000 documents with 557209 words\n", + "2019-01-31 00:15:23,694 : INFO : PROGRESS: pass 0, at document #20000/4922894\n", + "2019-01-31 00:15:25,238 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:25,498 : INFO : topic #41 (0.020): 0.020*\"new\" + 0.019*\"citi\" + 0.013*\"museo\" + 0.012*\"strategist\" + 0.011*\"year\" + 0.010*\"center\" + 0.009*\"festiv\" + 0.009*\"briarwood\" + 0.007*\"arsen\" + 0.007*\"hot\"\n", + "2019-01-31 00:15:25,499 : INFO : topic #42 (0.020): 0.012*\"german\" + 0.007*\"anglo\" + 0.006*\"germani\" + 0.006*\"europ\" + 0.006*\"histori\" + 0.006*\"vol\" + 0.006*\"polici\" + 0.005*\"der\" + 0.005*\"islam\" + 0.005*\"centuri\"\n", + "2019-01-31 00:15:25,500 : INFO : topic #13 (0.020): 0.021*\"sourc\" + 0.018*\"north\" + 0.016*\"weekli\" + 0.015*\"earthworm\" + 0.014*\"ireland\" + 0.013*\"neutral\" + 0.012*\"lagrang\" + 0.011*\"castl\" + 0.010*\"cotton\" + 0.009*\"wale\"\n", + "2019-01-31 00:15:25,502 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.024*\"player\" + 0.021*\"place\" + 0.013*\"scientist\" + 0.011*\"folei\" + 0.010*\"yard\" + 0.010*\"leagu\" + 0.010*\"taxpay\" + 0.009*\"yawn\" + 0.007*\"ruler\"\n", + "2019-01-31 00:15:25,503 : INFO : topic #1 (0.020): 0.008*\"brazil\" + 0.008*\"abreast\" + 0.008*\"argentina\" + 0.007*\"shu\" + 0.007*\"brazilian\" + 0.007*\"yawn\" + 0.007*\"min\" + 0.006*\"proton\" + 0.005*\"justinian\" + 0.005*\"hildesheim\"\n", + "2019-01-31 00:15:25,509 : INFO : topic diff=0.242050, rho=0.316228\n", + "2019-01-31 00:15:25,672 : INFO : PROGRESS: pass 0, at document #22000/4922894\n", + "2019-01-31 00:15:27,254 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:27,515 : INFO : topic #37 (0.020): 0.007*\"rel\" + 0.007*\"love\" + 0.006*\"théori\" + 0.006*\"place\" + 0.005*\"appear\" + 0.004*\"son\" + 0.004*\"night\" + 0.003*\"man\" + 0.003*\"perceptu\" + 0.003*\"live\"\n", + "2019-01-31 00:15:27,516 : INFO : topic #45 (0.020): 0.016*\"depress\" + 0.011*\"light\" + 0.006*\"uruguayan\" + 0.006*\"warmth\" + 0.005*\"summer\" + 0.005*\"cat\" + 0.005*\"color\" + 0.004*\"cambridg\" + 0.004*\"black\" + 0.004*\"like\"\n", + "2019-01-31 00:15:27,518 : INFO : topic #1 (0.020): 0.010*\"min\" + 0.008*\"brazil\" + 0.007*\"hildesheim\" + 0.007*\"justinian\" + 0.006*\"brazilian\" + 0.006*\"argentina\" + 0.006*\"yawn\" + 0.006*\"abreast\" + 0.005*\"bernabéu\" + 0.005*\"leah\"\n", + "2019-01-31 00:15:27,518 : INFO : topic #28 (0.020): 0.020*\"rivièr\" + 0.016*\"ring\" + 0.016*\"build\" + 0.015*\"hous\" + 0.011*\"buford\" + 0.010*\"lobe\" + 0.009*\"histor\" + 0.009*\"area\" + 0.009*\"church\" + 0.009*\"tortur\"\n", + "2019-01-31 00:15:27,519 : INFO : topic #12 (0.020): 0.007*\"number\" + 0.007*\"frontal\" + 0.006*\"exampl\" + 0.006*\"differ\" + 0.006*\"method\" + 0.006*\"gener\" + 0.006*\"form\" + 0.006*\"uruguayan\" + 0.005*\"group\" + 0.005*\"superimpos\"\n", + "2019-01-31 00:15:27,525 : INFO : topic diff=0.259331, rho=0.301511\n", + "2019-01-31 00:15:27,684 : INFO : PROGRESS: pass 0, at document #24000/4922894\n", + "2019-01-31 00:15:29,222 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:29,482 : INFO : topic #7 (0.020): 0.019*\"locri\" + 0.013*\"sir\" + 0.013*\"church\" + 0.010*\"snatch\" + 0.008*\"john\" + 0.008*\"yawn\" + 0.008*\"factor\" + 0.008*\"di\" + 0.006*\"hous\" + 0.006*\"faster\"\n", + "2019-01-31 00:15:29,483 : INFO : topic #22 (0.020): 0.025*\"factor\" + 0.021*\"spars\" + 0.019*\"isl\" + 0.014*\"popolo\" + 0.013*\"adulthood\" + 0.010*\"feel\" + 0.009*\"male\" + 0.009*\"hostil\" + 0.009*\"area\" + 0.008*\"live\"\n", + "2019-01-31 00:15:29,484 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.022*\"candid\" + 0.016*\"veget\" + 0.013*\"mode\" + 0.011*\"elabor\" + 0.009*\"depress\" + 0.009*\"pour\" + 0.007*\"fuel\" + 0.006*\"mandir\" + 0.006*\"companhia\"\n", + "2019-01-31 00:15:29,485 : INFO : topic #28 (0.020): 0.017*\"rivièr\" + 0.017*\"build\" + 0.015*\"hous\" + 0.015*\"ring\" + 0.012*\"buford\" + 0.011*\"area\" + 0.010*\"lobe\" + 0.010*\"tortur\" + 0.009*\"histor\" + 0.009*\"church\"\n", + "2019-01-31 00:15:29,486 : INFO : topic #14 (0.020): 0.021*\"armi\" + 0.017*\"forc\" + 0.016*\"walter\" + 0.013*\"aggress\" + 0.013*\"refut\" + 0.012*\"com\" + 0.011*\"unionist\" + 0.011*\"librari\" + 0.011*\"diversifi\" + 0.010*\"rotterdam\"\n", + "2019-01-31 00:15:29,492 : INFO : topic diff=0.261842, rho=0.288675\n" ] }, { - "data": { - "text/plain": [ - "[(0,\n", - " '0.033*\"war\" + 0.028*\"armi\" + 0.021*\"forc\" + 0.020*\"command\" + 0.015*\"militari\" + 0.015*\"battl\" + 0.013*\"gener\" + 0.012*\"offic\" + 0.011*\"divis\" + 0.011*\"regiment\"'),\n", - " (1,\n", - " '0.038*\"album\" + 0.028*\"song\" + 0.026*\"releas\" + 0.026*\"record\" + 0.021*\"band\" + 0.016*\"singl\" + 0.015*\"music\" + 0.014*\"chart\" + 0.013*\"track\" + 0.010*\"guitar\"'),\n", - " (2,\n", - " '0.062*\"german\" + 0.039*\"germani\" + 0.025*\"van\" + 0.023*\"von\" + 0.020*\"der\" + 0.019*\"dutch\" + 0.019*\"berlin\" + 0.015*\"swedish\" + 0.014*\"netherland\" + 0.014*\"sweden\"'),\n", - " (3,\n", - " '0.032*\"john\" + 0.027*\"william\" + 0.019*\"british\" + 0.015*\"georg\" + 0.015*\"london\" + 0.014*\"thoma\" + 0.014*\"sir\" + 0.014*\"jame\" + 0.013*\"royal\" + 0.013*\"henri\"'),\n", - " (4,\n", - " '0.137*\"school\" + 0.040*\"colleg\" + 0.039*\"student\" + 0.033*\"univers\" + 0.030*\"high\" + 0.028*\"educ\" + 0.016*\"year\" + 0.011*\"graduat\" + 0.010*\"state\" + 0.009*\"campu\"'),\n", - " (5,\n", - " '0.030*\"game\" + 0.009*\"develop\" + 0.009*\"player\" + 0.008*\"releas\" + 0.008*\"us\" + 0.008*\"softwar\" + 0.008*\"version\" + 0.008*\"user\" + 0.007*\"data\" + 0.007*\"includ\"'),\n", - " (6,\n", - " '0.061*\"music\" + 0.030*\"perform\" + 0.019*\"theatr\" + 0.018*\"compos\" + 0.016*\"plai\" + 0.016*\"festiv\" + 0.015*\"danc\" + 0.014*\"orchestra\" + 0.012*\"opera\" + 0.011*\"piano\"'),\n", - " (7,\n", - " '0.013*\"number\" + 0.011*\"function\" + 0.010*\"model\" + 0.009*\"valu\" + 0.008*\"set\" + 0.008*\"exampl\" + 0.007*\"gener\" + 0.007*\"theori\" + 0.007*\"point\" + 0.006*\"method\"'),\n", - " (8,\n", - " '0.048*\"india\" + 0.037*\"indian\" + 0.020*\"http\" + 0.016*\"www\" + 0.015*\"pakistan\" + 0.015*\"iran\" + 0.013*\"sri\" + 0.012*\"khan\" + 0.012*\"islam\" + 0.012*\"tamil\"'),\n", - " (9,\n", - " '0.067*\"film\" + 0.025*\"award\" + 0.022*\"seri\" + 0.021*\"episod\" + 0.021*\"best\" + 0.015*\"star\" + 0.012*\"role\" + 0.012*\"actor\" + 0.011*\"televis\" + 0.011*\"produc\"'),\n", - " (10,\n", - " '0.020*\"engin\" + 0.013*\"power\" + 0.011*\"product\" + 0.011*\"design\" + 0.010*\"model\" + 0.009*\"produc\" + 0.008*\"us\" + 0.008*\"electr\" + 0.008*\"type\" + 0.007*\"vehicl\"'),\n", - " (11,\n", - " '0.024*\"law\" + 0.021*\"court\" + 0.016*\"state\" + 0.016*\"act\" + 0.011*\"polic\" + 0.010*\"case\" + 0.009*\"offic\" + 0.009*\"report\" + 0.009*\"right\" + 0.007*\"legal\"'),\n", - " (12,\n", - " '0.056*\"elect\" + 0.041*\"parti\" + 0.023*\"member\" + 0.020*\"vote\" + 0.020*\"presid\" + 0.017*\"democrat\" + 0.017*\"minist\" + 0.013*\"council\" + 0.013*\"repres\" + 0.012*\"polit\"'),\n", - " (13,\n", - " '0.057*\"state\" + 0.035*\"new\" + 0.029*\"american\" + 0.024*\"unit\" + 0.024*\"york\" + 0.020*\"counti\" + 0.015*\"citi\" + 0.014*\"california\" + 0.012*\"washington\" + 0.010*\"texa\"'),\n", - " (14,\n", - " '0.027*\"univers\" + 0.015*\"research\" + 0.014*\"institut\" + 0.012*\"nation\" + 0.012*\"scienc\" + 0.012*\"work\" + 0.012*\"intern\" + 0.011*\"award\" + 0.011*\"develop\" + 0.010*\"organ\"'),\n", - " (15,\n", - " '0.034*\"england\" + 0.024*\"unit\" + 0.021*\"london\" + 0.019*\"cricket\" + 0.019*\"town\" + 0.016*\"citi\" + 0.015*\"scotland\" + 0.013*\"manchest\" + 0.013*\"west\" + 0.012*\"scottish\"'),\n", - " (16,\n", - " '0.031*\"church\" + 0.017*\"famili\" + 0.017*\"di\" + 0.016*\"son\" + 0.015*\"marri\" + 0.014*\"year\" + 0.013*\"father\" + 0.013*\"life\" + 0.013*\"born\" + 0.012*\"daughter\"'),\n", - " (17,\n", - " '0.060*\"race\" + 0.020*\"car\" + 0.017*\"team\" + 0.012*\"finish\" + 0.012*\"tour\" + 0.012*\"driver\" + 0.011*\"ford\" + 0.011*\"time\" + 0.011*\"championship\" + 0.011*\"year\"'),\n", - " (18,\n", - " '0.010*\"water\" + 0.007*\"light\" + 0.007*\"energi\" + 0.007*\"high\" + 0.006*\"surfac\" + 0.006*\"earth\" + 0.006*\"time\" + 0.005*\"effect\" + 0.005*\"temperatur\" + 0.005*\"materi\"'),\n", - " (19,\n", - " '0.022*\"radio\" + 0.020*\"new\" + 0.019*\"broadcast\" + 0.018*\"station\" + 0.014*\"televis\" + 0.013*\"channel\" + 0.013*\"dai\" + 0.011*\"program\" + 0.011*\"host\" + 0.011*\"air\"'),\n", - " (20,\n", - " '0.035*\"win\" + 0.018*\"contest\" + 0.017*\"wrestl\" + 0.017*\"fight\" + 0.016*\"match\" + 0.016*\"titl\" + 0.015*\"championship\" + 0.014*\"team\" + 0.012*\"world\" + 0.011*\"defeat\"'),\n", - " (21,\n", - " '0.011*\"languag\" + 0.007*\"word\" + 0.007*\"form\" + 0.006*\"peopl\" + 0.006*\"differ\" + 0.006*\"cultur\" + 0.006*\"us\" + 0.006*\"mean\" + 0.005*\"tradit\" + 0.005*\"term\"'),\n", - " (22,\n", - " '0.051*\"popul\" + 0.033*\"ag\" + 0.030*\"citi\" + 0.029*\"town\" + 0.027*\"famili\" + 0.026*\"censu\" + 0.023*\"household\" + 0.023*\"commun\" + 0.021*\"peopl\" + 0.021*\"counti\"'),\n", - " (23,\n", - " '0.016*\"medic\" + 0.014*\"health\" + 0.014*\"hospit\" + 0.013*\"cell\" + 0.011*\"diseas\" + 0.010*\"patient\" + 0.009*\"ret\" + 0.009*\"caus\" + 0.008*\"human\" + 0.008*\"treatment\"'),\n", - " (24,\n", - " '0.037*\"ship\" + 0.017*\"navi\" + 0.015*\"sea\" + 0.012*\"island\" + 0.012*\"boat\" + 0.011*\"port\" + 0.010*\"naval\" + 0.010*\"coast\" + 0.010*\"gun\" + 0.009*\"fleet\"'),\n", - " (25,\n", - " '0.044*\"round\" + 0.044*\"final\" + 0.025*\"tournament\" + 0.023*\"group\" + 0.020*\"point\" + 0.020*\"winner\" + 0.018*\"open\" + 0.015*\"place\" + 0.013*\"qualifi\" + 0.012*\"won\"'),\n", - " (26,\n", - " '0.032*\"world\" + 0.030*\"women\" + 0.028*\"championship\" + 0.026*\"olymp\" + 0.023*\"men\" + 0.022*\"event\" + 0.022*\"medal\" + 0.018*\"athlet\" + 0.017*\"gold\" + 0.017*\"nation\"'),\n", - " (27,\n", - " '0.056*\"born\" + 0.034*\"russian\" + 0.026*\"american\" + 0.020*\"russia\" + 0.020*\"soviet\" + 0.017*\"polish\" + 0.015*\"jewish\" + 0.014*\"poland\" + 0.014*\"republ\" + 0.013*\"moscow\"'),\n", - " (28,\n", - " '0.029*\"build\" + 0.025*\"hous\" + 0.014*\"built\" + 0.012*\"locat\" + 0.012*\"street\" + 0.012*\"site\" + 0.011*\"histor\" + 0.009*\"park\" + 0.009*\"citi\" + 0.009*\"place\"'),\n", - " (29,\n", - " '0.039*\"leagu\" + 0.036*\"club\" + 0.035*\"plai\" + 0.031*\"team\" + 0.026*\"footbal\" + 0.026*\"season\" + 0.023*\"cup\" + 0.018*\"goal\" + 0.016*\"player\" + 0.016*\"match\"'),\n", - " (30,\n", - " '0.053*\"french\" + 0.041*\"franc\" + 0.027*\"italian\" + 0.025*\"pari\" + 0.022*\"saint\" + 0.020*\"itali\" + 0.018*\"jean\" + 0.014*\"de\" + 0.011*\"loui\" + 0.011*\"le\"'),\n", - " (31,\n", - " '0.067*\"australia\" + 0.058*\"australian\" + 0.051*\"new\" + 0.040*\"china\" + 0.033*\"zealand\" + 0.032*\"south\" + 0.027*\"chines\" + 0.021*\"sydnei\" + 0.015*\"melbourn\" + 0.013*\"queensland\"'),\n", - " (32,\n", - " '0.026*\"speci\" + 0.011*\"famili\" + 0.009*\"plant\" + 0.008*\"white\" + 0.008*\"bird\" + 0.007*\"genu\" + 0.007*\"red\" + 0.007*\"forest\" + 0.007*\"fish\" + 0.006*\"tree\"'),\n", - " (33,\n", - " '0.033*\"compani\" + 0.013*\"million\" + 0.012*\"busi\" + 0.012*\"market\" + 0.011*\"product\" + 0.010*\"bank\" + 0.010*\"year\" + 0.009*\"industri\" + 0.008*\"oper\" + 0.008*\"new\"'),\n", - " (34,\n", - " '0.085*\"island\" + 0.073*\"canada\" + 0.065*\"canadian\" + 0.026*\"toronto\" + 0.025*\"ontario\" + 0.017*\"korean\" + 0.017*\"korea\" + 0.016*\"quebec\" + 0.016*\"montreal\" + 0.016*\"british\"'),\n", - " (35,\n", - " '0.034*\"kong\" + 0.034*\"japanes\" + 0.033*\"hong\" + 0.023*\"lee\" + 0.021*\"singapor\" + 0.019*\"chines\" + 0.018*\"kim\" + 0.015*\"japan\" + 0.014*\"indonesia\" + 0.014*\"thailand\"'),\n", - " (36,\n", - " '0.054*\"art\" + 0.034*\"museum\" + 0.030*\"jpg\" + 0.027*\"file\" + 0.024*\"work\" + 0.022*\"paint\" + 0.020*\"artist\" + 0.019*\"design\" + 0.017*\"imag\" + 0.017*\"exhibit\"'),\n", - " (37,\n", - " '0.008*\"time\" + 0.007*\"man\" + 0.005*\"later\" + 0.005*\"appear\" + 0.005*\"charact\" + 0.005*\"kill\" + 0.004*\"like\" + 0.004*\"friend\" + 0.004*\"return\" + 0.004*\"end\"'),\n", - " (38,\n", - " '0.014*\"govern\" + 0.012*\"state\" + 0.012*\"nation\" + 0.010*\"war\" + 0.009*\"polit\" + 0.008*\"countri\" + 0.008*\"peopl\" + 0.007*\"group\" + 0.007*\"unit\" + 0.007*\"support\"'),\n", - " (39,\n", - " '0.050*\"air\" + 0.026*\"aircraft\" + 0.026*\"oper\" + 0.025*\"airport\" + 0.017*\"forc\" + 0.017*\"flight\" + 0.015*\"squadron\" + 0.014*\"unit\" + 0.012*\"base\" + 0.011*\"wing\"'),\n", - " (40,\n", - " '0.052*\"bar\" + 0.038*\"africa\" + 0.033*\"text\" + 0.033*\"african\" + 0.031*\"till\" + 0.029*\"color\" + 0.026*\"south\" + 0.023*\"black\" + 0.013*\"tropic\" + 0.013*\"storm\"'),\n", - " (41,\n", - " '0.039*\"book\" + 0.033*\"publish\" + 0.021*\"work\" + 0.015*\"new\" + 0.013*\"press\" + 0.013*\"univers\" + 0.013*\"edit\" + 0.011*\"stori\" + 0.011*\"novel\" + 0.011*\"author\"'),\n", - " (42,\n", - " '0.026*\"king\" + 0.019*\"centuri\" + 0.010*\"princ\" + 0.009*\"empir\" + 0.009*\"kingdom\" + 0.009*\"emperor\" + 0.009*\"greek\" + 0.008*\"roman\" + 0.007*\"ancient\" + 0.006*\"year\"'),\n", - " (43,\n", - " '0.033*\"san\" + 0.022*\"spanish\" + 0.017*\"mexico\" + 0.016*\"del\" + 0.013*\"spain\" + 0.012*\"santa\" + 0.011*\"brazil\" + 0.011*\"juan\" + 0.010*\"josé\" + 0.009*\"francisco\"'),\n", - " (44,\n", - " '0.029*\"game\" + 0.027*\"season\" + 0.023*\"team\" + 0.015*\"plai\" + 0.014*\"coach\" + 0.014*\"player\" + 0.011*\"footbal\" + 0.010*\"year\" + 0.010*\"leagu\" + 0.009*\"record\"'),\n", - " (45,\n", - " '0.015*\"john\" + 0.011*\"david\" + 0.010*\"michael\" + 0.008*\"paul\" + 0.008*\"smith\" + 0.007*\"robert\" + 0.007*\"jame\" + 0.006*\"peter\" + 0.006*\"jack\" + 0.006*\"jone\"'),\n", - " (46,\n", - " '0.133*\"class\" + 0.062*\"align\" + 0.060*\"left\" + 0.056*\"wikit\" + 0.046*\"style\" + 0.043*\"center\" + 0.035*\"right\" + 0.032*\"philippin\" + 0.032*\"list\" + 0.026*\"text\"'),\n", - " (47,\n", - " '0.025*\"river\" + 0.024*\"station\" + 0.021*\"line\" + 0.020*\"road\" + 0.017*\"railwai\" + 0.015*\"rout\" + 0.013*\"lake\" + 0.012*\"park\" + 0.011*\"bridg\" + 0.011*\"area\"'),\n", - " (48,\n", - " '0.072*\"octob\" + 0.070*\"septemb\" + 0.069*\"march\" + 0.062*\"decemb\" + 0.062*\"januari\" + 0.062*\"novemb\" + 0.061*\"juli\" + 0.061*\"august\" + 0.060*\"april\" + 0.058*\"june\"'),\n", - " (49,\n", - " '0.093*\"district\" + 0.066*\"villag\" + 0.047*\"region\" + 0.039*\"east\" + 0.039*\"west\" + 0.038*\"north\" + 0.036*\"counti\" + 0.033*\"south\" + 0.032*\"municip\" + 0.029*\"provinc\"')]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lda = LdaModel.load('lda.model')\n", - "row.update(get_tm_metrics(lda, test_corpus))\n", - "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)\n", - "\n", - "lda.show_topics(50)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Results" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:15:29,649 : INFO : PROGRESS: pass 0, at document #26000/4922894\n", + "2019-01-31 00:15:31,187 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:31,448 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"disco\" + 0.007*\"cancer\" + 0.007*\"gastrointestin\" + 0.007*\"acid\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.005*\"includ\"\n", + "2019-01-31 00:15:31,449 : INFO : topic #18 (0.020): 0.007*\"man\" + 0.006*\"kill\" + 0.005*\"charact\" + 0.005*\"théori\" + 0.004*\"septemb\" + 0.004*\"later\" + 0.004*\"appear\" + 0.004*\"epiru\" + 0.004*\"storag\" + 0.004*\"faster\"\n", + "2019-01-31 00:15:31,450 : INFO : topic #0 (0.020): 0.055*\"statewid\" + 0.038*\"arsen\" + 0.024*\"line\" + 0.024*\"raid\" + 0.016*\"pain\" + 0.016*\"word\" + 0.013*\"alic\" + 0.012*\"traceabl\" + 0.012*\"museo\" + 0.012*\"london\"\n", + "2019-01-31 00:15:31,451 : INFO : topic #37 (0.020): 0.007*\"love\" + 0.007*\"théori\" + 0.006*\"place\" + 0.006*\"rel\" + 0.005*\"appear\" + 0.005*\"night\" + 0.004*\"man\" + 0.004*\"son\" + 0.003*\"gestur\" + 0.003*\"yawn\"\n", + "2019-01-31 00:15:31,453 : INFO : topic #35 (0.020): 0.022*\"russia\" + 0.020*\"rural\" + 0.018*\"parti\" + 0.017*\"personifi\" + 0.013*\"unfortun\" + 0.013*\"moscow\" + 0.013*\"china\" + 0.011*\"sovereignti\" + 0.011*\"govern\" + 0.011*\"chilton\"\n", + "2019-01-31 00:15:31,459 : INFO : topic diff=0.267734, rho=0.277350\n", + "2019-01-31 00:15:31,610 : INFO : PROGRESS: pass 0, at document #28000/4922894\n", + "2019-01-31 00:15:33,125 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:33,387 : INFO : topic #9 (0.020): 0.058*\"bone\" + 0.021*\"muscl\" + 0.013*\"korea\" + 0.013*\"olympo\" + 0.012*\"compos\" + 0.012*\"simpler\" + 0.011*\"korean\" + 0.009*\"perceptu\" + 0.006*\"musician\" + 0.006*\"american\"\n", + "2019-01-31 00:15:33,388 : INFO : topic #29 (0.020): 0.017*\"govern\" + 0.010*\"work\" + 0.008*\"replac\" + 0.007*\"nation\" + 0.007*\"start\" + 0.006*\"pseudo\" + 0.006*\"yawn\" + 0.006*\"countri\" + 0.005*\"unfortun\" + 0.005*\"law\"\n", + "2019-01-31 00:15:33,389 : INFO : topic #16 (0.020): 0.017*\"rotterdam\" + 0.014*\"sino\" + 0.013*\"margin\" + 0.013*\"london\" + 0.012*\"priest\" + 0.011*\"quarterli\" + 0.011*\"daughter\" + 0.009*\"di\" + 0.009*\"locri\" + 0.008*\"snatch\"\n", + "2019-01-31 00:15:33,390 : INFO : topic #22 (0.020): 0.024*\"spars\" + 0.023*\"factor\" + 0.015*\"isl\" + 0.014*\"popolo\" + 0.012*\"adulthood\" + 0.011*\"feel\" + 0.010*\"male\" + 0.009*\"hostil\" + 0.009*\"genu\" + 0.008*\"live\"\n", + "2019-01-31 00:15:33,392 : INFO : topic #45 (0.020): 0.013*\"depress\" + 0.010*\"light\" + 0.008*\"black\" + 0.006*\"blind\" + 0.006*\"colder\" + 0.005*\"record\" + 0.005*\"weapon\" + 0.005*\"summer\" + 0.005*\"cat\" + 0.005*\"like\"\n", + "2019-01-31 00:15:33,398 : INFO : topic diff=0.277764, rho=0.267261\n", + "2019-01-31 00:15:33,554 : INFO : PROGRESS: pass 0, at document #30000/4922894\n", + "2019-01-31 00:15:35,091 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:35,353 : INFO : topic #14 (0.020): 0.036*\"armi\" + 0.029*\"rotterdam\" + 0.027*\"corp\" + 0.022*\"refut\" + 0.019*\"serv\" + 0.015*\"forc\" + 0.015*\"apc\" + 0.015*\"walter\" + 0.014*\"leonida\" + 0.014*\"aggress\"\n", + "2019-01-31 00:15:35,354 : INFO : topic #33 (0.020): 0.035*\"french\" + 0.018*\"daphn\" + 0.017*\"jean\" + 0.015*\"franc\" + 0.015*\"sail\" + 0.013*\"lazi\" + 0.013*\"pari\" + 0.012*\"dish\" + 0.009*\"quebec\" + 0.008*\"piec\"\n", + "2019-01-31 00:15:35,355 : INFO : topic #13 (0.020): 0.033*\"sourc\" + 0.021*\"rotterdam\" + 0.020*\"north\" + 0.020*\"weekli\" + 0.016*\"earthworm\" + 0.015*\"ireland\" + 0.011*\"england\" + 0.011*\"ipa\" + 0.011*\"hormon\" + 0.010*\"parish\"\n", + "2019-01-31 00:15:35,356 : INFO : topic #10 (0.020): 0.009*\"cdd\" + 0.009*\"disco\" + 0.007*\"cancer\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"acid\" + 0.006*\"proper\" + 0.006*\"gastrointestin\" + 0.006*\"student\" + 0.005*\"includ\"\n", + "2019-01-31 00:15:35,357 : INFO : topic #23 (0.020): 0.107*\"audit\" + 0.059*\"best\" + 0.018*\"noll\" + 0.017*\"yawn\" + 0.013*\"jacksonvil\" + 0.011*\"women\" + 0.009*\"prison\" + 0.008*\"tokyo\" + 0.008*\"ur\" + 0.008*\"intern\"\n", + "2019-01-31 00:15:35,363 : INFO : topic diff=0.287250, rho=0.258199\n", + "2019-01-31 00:15:35,588 : INFO : PROGRESS: pass 0, at document #32000/4922894\n", + "2019-01-31 00:15:37,112 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:37,374 : INFO : topic #3 (0.020): 0.020*\"present\" + 0.018*\"american\" + 0.015*\"seri\" + 0.015*\"offic\" + 0.015*\"bone\" + 0.014*\"minist\" + 0.013*\"start\" + 0.013*\"appeas\" + 0.011*\"secess\" + 0.011*\"chickasaw\"\n", + "2019-01-31 00:15:37,376 : INFO : topic #24 (0.020): 0.030*\"book\" + 0.029*\"publicis\" + 0.014*\"word\" + 0.012*\"languag\" + 0.010*\"new\" + 0.010*\"edit\" + 0.010*\"nicola\" + 0.009*\"worldwid\" + 0.009*\"storag\" + 0.009*\"magazin\"\n", + "2019-01-31 00:15:37,377 : INFO : topic #43 (0.020): 0.050*\"elect\" + 0.045*\"parti\" + 0.019*\"voluntari\" + 0.018*\"democrat\" + 0.017*\"tendenc\" + 0.016*\"member\" + 0.015*\"republ\" + 0.013*\"polici\" + 0.013*\"start\" + 0.013*\"selma\"\n", + "2019-01-31 00:15:37,378 : INFO : topic #28 (0.020): 0.022*\"rivièr\" + 0.018*\"build\" + 0.015*\"hous\" + 0.012*\"buford\" + 0.012*\"ring\" + 0.011*\"lobe\" + 0.011*\"rosenwald\" + 0.010*\"area\" + 0.010*\"tortur\" + 0.009*\"histor\"\n", + "2019-01-31 00:15:37,379 : INFO : topic #48 (0.020): 0.065*\"januari\" + 0.061*\"octob\" + 0.060*\"march\" + 0.058*\"sens\" + 0.054*\"notion\" + 0.052*\"april\" + 0.052*\"juli\" + 0.052*\"judici\" + 0.049*\"august\" + 0.049*\"februari\"\n", + "2019-01-31 00:15:37,385 : INFO : topic diff=0.292880, rho=0.250000\n", + "2019-01-31 00:15:37,539 : INFO : PROGRESS: pass 0, at document #34000/4922894\n", + "2019-01-31 00:15:39,061 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:39,323 : INFO : topic #32 (0.020): 0.079*\"district\" + 0.066*\"vigour\" + 0.047*\"popolo\" + 0.033*\"multitud\" + 0.028*\"prosper\" + 0.026*\"regim\" + 0.022*\"cotton\" + 0.018*\"tortur\" + 0.018*\"cede\" + 0.016*\"ruptur\"\n", + "2019-01-31 00:15:39,324 : INFO : topic #35 (0.020): 0.024*\"russia\" + 0.023*\"chilton\" + 0.021*\"china\" + 0.020*\"personifi\" + 0.016*\"rural\" + 0.015*\"sovereignti\" + 0.013*\"parti\" + 0.013*\"moscow\" + 0.012*\"communist\" + 0.011*\"unfortun\"\n", + "2019-01-31 00:15:39,326 : INFO : topic #43 (0.020): 0.052*\"elect\" + 0.046*\"parti\" + 0.020*\"voluntari\" + 0.018*\"democrat\" + 0.016*\"member\" + 0.015*\"tendenc\" + 0.014*\"republ\" + 0.013*\"polici\" + 0.013*\"selma\" + 0.013*\"start\"\n", + "2019-01-31 00:15:39,327 : INFO : topic #26 (0.020): 0.031*\"olymp\" + 0.028*\"workplac\" + 0.026*\"men\" + 0.023*\"event\" + 0.023*\"medal\" + 0.023*\"champion\" + 0.018*\"atheist\" + 0.017*\"woman\" + 0.016*\"gold\" + 0.015*\"théori\"\n", + "2019-01-31 00:15:39,328 : INFO : topic #22 (0.020): 0.028*\"spars\" + 0.021*\"factor\" + 0.017*\"isl\" + 0.015*\"adulthood\" + 0.014*\"popolo\" + 0.011*\"hostil\" + 0.011*\"feel\" + 0.010*\"live\" + 0.009*\"yawn\" + 0.009*\"male\"\n", + "2019-01-31 00:15:39,334 : INFO : topic diff=0.286981, rho=0.242536\n", + "2019-01-31 00:15:39,493 : INFO : PROGRESS: pass 0, at document #36000/4922894\n", + "2019-01-31 00:15:41,070 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:41,333 : INFO : topic #32 (0.020): 0.079*\"district\" + 0.061*\"vigour\" + 0.050*\"popolo\" + 0.032*\"multitud\" + 0.026*\"regim\" + 0.026*\"prosper\" + 0.022*\"cotton\" + 0.019*\"tortur\" + 0.019*\"cede\" + 0.016*\"ruptur\"\n", + "2019-01-31 00:15:41,334 : INFO : topic #7 (0.020): 0.016*\"locri\" + 0.015*\"church\" + 0.014*\"snatch\" + 0.011*\"sir\" + 0.011*\"di\" + 0.010*\"factor\" + 0.010*\"john\" + 0.009*\"yawn\" + 0.008*\"hous\" + 0.007*\"faster\"\n", + "2019-01-31 00:15:41,335 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.020*\"candid\" + 0.015*\"mode\" + 0.012*\"veget\" + 0.011*\"pour\" + 0.010*\"elabor\" + 0.010*\"depress\" + 0.009*\"mandir\" + 0.008*\"fuel\" + 0.008*\"produc\"\n", + "2019-01-31 00:15:41,336 : INFO : topic #17 (0.020): 0.030*\"church\" + 0.019*\"sail\" + 0.018*\"fifteenth\" + 0.018*\"bishop\" + 0.017*\"centuri\" + 0.016*\"retroflex\" + 0.013*\"toluen\" + 0.012*\"jpg\" + 0.011*\"italian\" + 0.011*\"cathol\"\n", + "2019-01-31 00:15:41,337 : INFO : topic #12 (0.020): 0.007*\"gener\" + 0.007*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.005*\"uruguayan\" + 0.005*\"measur\" + 0.005*\"differ\" + 0.005*\"pro\" + 0.005*\"servitud\"\n", + "2019-01-31 00:15:41,343 : INFO : topic diff=0.292892, rho=0.235702\n", + "2019-01-31 00:15:41,510 : INFO : PROGRESS: pass 0, at document #38000/4922894\n", + "2019-01-31 00:15:43,031 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:43,295 : INFO : topic #34 (0.020): 0.068*\"cotton\" + 0.033*\"start\" + 0.020*\"toni\" + 0.017*\"violent\" + 0.014*\"california\" + 0.011*\"carefulli\" + 0.010*\"unionist\" + 0.010*\"terri\" + 0.010*\"citi\" + 0.009*\"obes\"\n" + ] + }, { - "data": { - "text/html": [ - "
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coherencel2_normmodelperplexitytopicstrain_time
0-2.8141357.265412nmf975.740399[(24, 0.131*\"mount\" + 0.129*\"lemmon\" + 0.129*\"...4394.560518
1-2.4366507.268837nmf_with_r985.570926[(49, 0.112*\"peak\" + 0.111*\"kitt\" + 0.111*\"mou...26451.927848
2-2.5144697.371544lda4727.075546[(35, 0.034*\"kong\" + 0.034*\"japanes\" + 0.033*\"...8278.891060
\n", - "
" - ], - "text/plain": [ - " coherence l2_norm model perplexity \\\n", - "0 -2.814135 7.265412 nmf 975.740399 \n", - "1 -2.436650 7.268837 nmf_with_r 985.570926 \n", - "2 -2.514469 7.371544 lda 4727.075546 \n", - "\n", - " topics train_time \n", - "0 [(24, 0.131*\"mount\" + 0.129*\"lemmon\" + 0.129*\"... 4394.560518 \n", - "1 [(49, 0.112*\"peak\" + 0.111*\"kitt\" + 0.111*\"mou... 26451.927848 \n", - "2 [(35, 0.034*\"kong\" + 0.034*\"japanes\" + 0.033*\"... 8278.891060 " - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tm_metrics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### RAM Usage:\n", - "- nmf: 100-150Mb\n", - "- nmf_with_r: 3-9Gb\n", - "- lda: 100Mb" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:15:43,296 : INFO : topic #40 (0.020): 0.072*\"unit\" + 0.025*\"collector\" + 0.015*\"start\" + 0.014*\"american\" + 0.011*\"new\" + 0.011*\"institut\" + 0.009*\"scholar\" + 0.009*\"word\" + 0.009*\"governor\" + 0.008*\"professor\"\n", + "2019-01-31 00:15:43,297 : INFO : topic #25 (0.020): 0.016*\"mount\" + 0.015*\"ring\" + 0.015*\"palmer\" + 0.014*\"lagrang\" + 0.013*\"mound\" + 0.011*\"area\" + 0.008*\"pcb\" + 0.007*\"robespierr\" + 0.006*\"natur\" + 0.006*\"surrend\"\n", + "2019-01-31 00:15:43,299 : INFO : topic #27 (0.020): 0.045*\"questionnair\" + 0.015*\"dai\" + 0.012*\"taxpay\" + 0.012*\"tornado\" + 0.012*\"théori\" + 0.010*\"rick\" + 0.010*\"horac\" + 0.010*\"squatter\" + 0.010*\"find\" + 0.009*\"sebastien\"\n", + "2019-01-31 00:15:43,301 : INFO : topic #48 (0.020): 0.066*\"octob\" + 0.062*\"januari\" + 0.061*\"march\" + 0.057*\"sens\" + 0.055*\"notion\" + 0.053*\"judici\" + 0.053*\"april\" + 0.052*\"juli\" + 0.051*\"august\" + 0.051*\"decatur\"\n", + "2019-01-31 00:15:43,307 : INFO : topic diff=0.286263, rho=0.229416\n", + "2019-01-31 00:15:46,145 : INFO : -11.672 per-word bound, 3262.6 perplexity estimate based on a held-out corpus of 2000 documents with 564313 words\n", + "2019-01-31 00:15:46,146 : INFO : PROGRESS: pass 0, at document #40000/4922894\n", + "2019-01-31 00:15:47,687 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:47,951 : INFO : topic #23 (0.020): 0.109*\"audit\" + 0.056*\"best\" + 0.020*\"yawn\" + 0.020*\"noll\" + 0.018*\"jacksonvil\" + 0.017*\"japanes\" + 0.013*\"women\" + 0.011*\"prison\" + 0.011*\"harmsworth\" + 0.009*\"winner\"\n", + "2019-01-31 00:15:47,953 : INFO : topic #42 (0.020): 0.026*\"german\" + 0.014*\"germani\" + 0.009*\"vol\" + 0.009*\"der\" + 0.007*\"jewish\" + 0.007*\"berlin\" + 0.006*\"anglo\" + 0.006*\"jeremiah\" + 0.006*\"und\" + 0.006*\"israel\"\n", + "2019-01-31 00:15:47,954 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.024*\"will\" + 0.017*\"jame\" + 0.016*\"georg\" + 0.014*\"rival\" + 0.010*\"chandra\" + 0.010*\"thirtieth\" + 0.009*\"townhous\" + 0.009*\"henri\" + 0.008*\"slur\"\n", + "2019-01-31 00:15:47,956 : INFO : topic #38 (0.020): 0.015*\"king\" + 0.013*\"walter\" + 0.010*\"aza\" + 0.010*\"teufel\" + 0.008*\"french\" + 0.007*\"embassi\" + 0.007*\"till\" + 0.006*\"yawn\" + 0.006*\"franc\" + 0.005*\"deal\"\n", + "2019-01-31 00:15:47,957 : INFO : topic #48 (0.020): 0.067*\"octob\" + 0.062*\"januari\" + 0.062*\"march\" + 0.060*\"sens\" + 0.056*\"notion\" + 0.056*\"april\" + 0.054*\"judici\" + 0.054*\"august\" + 0.053*\"decatur\" + 0.052*\"juli\"\n", + "2019-01-31 00:15:47,963 : INFO : topic diff=0.280474, rho=0.223607\n", + "2019-01-31 00:15:48,119 : INFO : PROGRESS: pass 0, at document #42000/4922894\n", + "2019-01-31 00:15:49,658 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:49,921 : INFO : topic #3 (0.020): 0.028*\"present\" + 0.022*\"american\" + 0.016*\"minist\" + 0.016*\"start\" + 0.016*\"seri\" + 0.015*\"offic\" + 0.013*\"appeas\" + 0.013*\"gov\" + 0.012*\"gener\" + 0.012*\"bone\"\n", + "2019-01-31 00:15:49,922 : INFO : topic #36 (0.020): 0.025*\"companhia\" + 0.009*\"serv\" + 0.009*\"busi\" + 0.009*\"develop\" + 0.008*\"market\" + 0.008*\"manag\" + 0.008*\"produc\" + 0.008*\"oper\" + 0.008*\"network\" + 0.007*\"bank\"\n", + "2019-01-31 00:15:49,923 : INFO : topic #16 (0.020): 0.018*\"rotterdam\" + 0.018*\"london\" + 0.016*\"quarterli\" + 0.015*\"priest\" + 0.015*\"margin\" + 0.013*\"duke\" + 0.012*\"sino\" + 0.011*\"daughter\" + 0.011*\"di\" + 0.009*\"snatch\"\n", + "2019-01-31 00:15:49,925 : INFO : topic #48 (0.020): 0.067*\"octob\" + 0.066*\"march\" + 0.062*\"januari\" + 0.061*\"notion\" + 0.061*\"sens\" + 0.057*\"april\" + 0.055*\"judici\" + 0.055*\"august\" + 0.054*\"decatur\" + 0.053*\"juli\"\n", + "2019-01-31 00:15:49,926 : INFO : topic #32 (0.020): 0.080*\"district\" + 0.060*\"vigour\" + 0.053*\"popolo\" + 0.034*\"multitud\" + 0.028*\"regim\" + 0.024*\"prosper\" + 0.022*\"cotton\" + 0.020*\"tortur\" + 0.018*\"cede\" + 0.018*\"ruptur\"\n", + "2019-01-31 00:15:49,932 : INFO : topic diff=0.275367, rho=0.218218\n", + "2019-01-31 00:15:50,087 : INFO : PROGRESS: pass 0, at document #44000/4922894\n", + "2019-01-31 00:15:51,609 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:51,873 : INFO : topic #22 (0.020): 0.025*\"spars\" + 0.023*\"factor\" + 0.018*\"adulthood\" + 0.014*\"popolo\" + 0.014*\"isl\" + 0.013*\"hostil\" + 0.013*\"feel\" + 0.011*\"male\" + 0.010*\"live\" + 0.010*\"western\"\n", + "2019-01-31 00:15:51,874 : INFO : topic #2 (0.020): 0.051*\"shield\" + 0.019*\"narrat\" + 0.017*\"isl\" + 0.015*\"class\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.012*\"scot\" + 0.011*\"nativist\" + 0.011*\"crew\" + 0.009*\"vernon\"\n", + "2019-01-31 00:15:51,875 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.019*\"band\" + 0.018*\"muscl\" + 0.015*\"simultan\" + 0.013*\"toyota\" + 0.013*\"charcoal\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:15:51,877 : INFO : topic #41 (0.020): 0.037*\"citi\" + 0.029*\"new\" + 0.017*\"year\" + 0.014*\"strategist\" + 0.014*\"center\" + 0.013*\"festiv\" + 0.012*\"palmer\" + 0.009*\"hot\" + 0.008*\"museo\" + 0.008*\"open\"\n", + "2019-01-31 00:15:51,878 : INFO : topic #12 (0.020): 0.006*\"number\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"differ\" + 0.005*\"servitud\" + 0.005*\"frontal\" + 0.005*\"uruguayan\" + 0.005*\"method\" + 0.005*\"measur\"\n", + "2019-01-31 00:15:51,883 : INFO : topic diff=0.267459, rho=0.213201\n", + "2019-01-31 00:15:52,039 : INFO : PROGRESS: pass 0, at document #46000/4922894\n", + "2019-01-31 00:15:53,587 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:53,852 : INFO : topic #43 (0.020): 0.056*\"elect\" + 0.050*\"parti\" + 0.020*\"conserv\" + 0.019*\"democrat\" + 0.019*\"voluntari\" + 0.017*\"member\" + 0.014*\"labour\" + 0.014*\"polici\" + 0.012*\"liber\" + 0.012*\"bypass\"\n", + "2019-01-31 00:15:53,853 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.018*\"muscl\" + 0.015*\"simultan\" + 0.013*\"toyota\" + 0.013*\"charcoal\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:15:53,854 : INFO : topic #13 (0.020): 0.032*\"sourc\" + 0.021*\"north\" + 0.020*\"weekli\" + 0.019*\"earthworm\" + 0.016*\"england\" + 0.014*\"ireland\" + 0.013*\"ipa\" + 0.013*\"youth\" + 0.012*\"wale\" + 0.011*\"castl\"\n", + "2019-01-31 00:15:53,856 : INFO : topic #47 (0.020): 0.050*\"muscl\" + 0.024*\"perceptu\" + 0.019*\"compos\" + 0.019*\"orchestr\" + 0.018*\"physician\" + 0.015*\"place\" + 0.011*\"jack\" + 0.011*\"word\" + 0.009*\"strict\" + 0.009*\"insomnia\"\n", + "2019-01-31 00:15:53,857 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.017*\"candid\" + 0.013*\"pour\" + 0.012*\"mode\" + 0.012*\"depress\" + 0.011*\"veget\" + 0.010*\"elabor\" + 0.008*\"produc\" + 0.008*\"spectacl\" + 0.008*\"fuel\"\n", + "2019-01-31 00:15:53,863 : INFO : topic diff=0.261450, rho=0.208514\n", + "2019-01-31 00:15:54,018 : INFO : PROGRESS: pass 0, at document #48000/4922894\n", + "2019-01-31 00:15:55,518 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:55,782 : INFO : topic #38 (0.020): 0.017*\"king\" + 0.014*\"walter\" + 0.008*\"aza\" + 0.007*\"teufel\" + 0.007*\"french\" + 0.006*\"yawn\" + 0.006*\"embassi\" + 0.006*\"battalion\" + 0.006*\"princess\" + 0.006*\"empath\"\n", + "2019-01-31 00:15:55,783 : INFO : topic #12 (0.020): 0.007*\"gener\" + 0.007*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.005*\"differ\" + 0.005*\"servitud\" + 0.005*\"uruguayan\" + 0.005*\"utopian\" + 0.005*\"group\"\n", + "2019-01-31 00:15:55,785 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.007*\"place\" + 0.006*\"théori\" + 0.005*\"night\" + 0.004*\"appear\" + 0.004*\"gestur\" + 0.004*\"jolli\" + 0.004*\"live\" + 0.003*\"introductori\" + 0.003*\"man\"\n", + "2019-01-31 00:15:55,786 : INFO : topic #46 (0.020): 0.024*\"warmth\" + 0.019*\"turkish\" + 0.017*\"norwegian\" + 0.014*\"norwai\" + 0.011*\"sweden\" + 0.009*\"cameron\" + 0.009*\"turkei\" + 0.008*\"swedish\" + 0.008*\"scot\" + 0.008*\"weevil\"\n", + "2019-01-31 00:15:55,788 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.021*\"will\" + 0.016*\"jame\" + 0.014*\"georg\" + 0.013*\"rival\" + 0.010*\"thirtieth\" + 0.010*\"henri\" + 0.009*\"rhyme\" + 0.009*\"chandra\" + 0.009*\"slur\"\n", + "2019-01-31 00:15:55,793 : INFO : topic diff=0.250452, rho=0.204124\n", + "2019-01-31 00:15:55,947 : INFO : PROGRESS: pass 0, at document #50000/4922894\n", + "2019-01-31 00:15:57,482 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:57,746 : INFO : topic #36 (0.020): 0.022*\"companhia\" + 0.010*\"network\" + 0.009*\"manag\" + 0.009*\"market\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.009*\"busi\" + 0.009*\"oper\" + 0.008*\"produc\" + 0.007*\"base\"\n", + "2019-01-31 00:15:57,747 : INFO : topic #40 (0.020): 0.075*\"unit\" + 0.028*\"collector\" + 0.013*\"american\" + 0.013*\"start\" + 0.012*\"institut\" + 0.011*\"governor\" + 0.011*\"new\" + 0.011*\"professor\" + 0.010*\"scholar\" + 0.009*\"degre\"\n" + ] + }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "====================\n", - "nmf\n", - "====================\n", - "\n", - "Topic: 24\n", - "0.131*\"mount\" + 0.129*\"lemmon\" + 0.129*\"peak\" + 0.127*\"kitt\" + 0.127*\"spacewatch\" + 0.065*\"survei\" + 0.037*\"octob\" + 0.031*\"septemb\" + 0.023*\"css\" + 0.023*\"catalina\"\n", - "\n", - "Topic: 32\n", - "0.196*\"linear\" + 0.195*\"socorro\" + 0.045*\"septemb\" + 0.039*\"neat\" + 0.035*\"palomar\" + 0.032*\"octob\" + 0.024*\"kitt\" + 0.024*\"peak\" + 0.024*\"spacewatch\" + 0.023*\"anderson\"\n", - "\n", - "Topic: 8\n", - "0.331*\"align\" + 0.270*\"left\" + 0.071*\"right\" + 0.040*\"text\" + 0.035*\"style\" + 0.022*\"center\" + 0.013*\"bar\" + 0.009*\"till\" + 0.008*\"bgcolor\" + 0.008*\"color\"\n", - "\n", - "Topic: 27\n", - "0.186*\"district\" + 0.027*\"pennsylvania\" + 0.022*\"grade\" + 0.017*\"fund\" + 0.017*\"educ\" + 0.017*\"basic\" + 0.016*\"level\" + 0.014*\"oblast\" + 0.014*\"rural\" + 0.013*\"tax\"\n", - "\n", - "Topic: 48\n", - "0.103*\"art\" + 0.066*\"museum\" + 0.040*\"paint\" + 0.035*\"work\" + 0.026*\"artist\" + 0.024*\"galleri\" + 0.022*\"exhibit\" + 0.019*\"collect\" + 0.015*\"histori\" + 0.013*\"jpg\"\n", - "\n", - "Topic: 11\n", - "0.122*\"new\" + 0.043*\"york\" + 0.009*\"zealand\" + 0.007*\"jersei\" + 0.006*\"american\" + 0.006*\"time\" + 0.006*\"australia\" + 0.005*\"radio\" + 0.005*\"press\" + 0.005*\"washington\"\n", - "\n", - "Topic: 20\n", - "0.008*\"us\" + 0.006*\"gener\" + 0.006*\"model\" + 0.006*\"data\" + 0.006*\"design\" + 0.005*\"time\" + 0.005*\"function\" + 0.005*\"number\" + 0.005*\"process\" + 0.005*\"exampl\"\n", - "\n", - "Topic: 28\n", - "0.074*\"year\" + 0.022*\"dai\" + 0.012*\"time\" + 0.008*\"ag\" + 0.006*\"month\" + 0.006*\"includ\" + 0.006*\"follow\" + 0.005*\"later\" + 0.005*\"old\" + 0.005*\"student\"\n", - "\n", - "Topic: 38\n", - "0.033*\"royal\" + 0.025*\"john\" + 0.025*\"william\" + 0.016*\"lieuten\" + 0.013*\"georg\" + 0.012*\"offic\" + 0.012*\"jame\" + 0.011*\"sergeant\" + 0.011*\"major\" + 0.010*\"charl\"\n", - "\n", - "Topic: 19\n", - "0.012*\"area\" + 0.011*\"river\" + 0.010*\"water\" + 0.004*\"larg\" + 0.004*\"region\" + 0.004*\"lake\" + 0.004*\"power\" + 0.004*\"high\" + 0.004*\"bar\" + 0.004*\"form\"\n", - "\n", - "\n", - "====================\n", - "nmf_with_r\n", - "====================\n", - "\n", - "Topic: 49\n", - "0.112*\"peak\" + 0.111*\"kitt\" + 0.111*\"mount\" + 0.111*\"spacewatch\" + 0.109*\"lemmon\" + 0.055*\"survei\" + 0.044*\"octob\" + 0.041*\"septemb\" + 0.026*\"novemb\" + 0.021*\"march\"\n", - "\n", - "Topic: 32\n", - "0.194*\"linear\" + 0.193*\"socorro\" + 0.047*\"septemb\" + 0.038*\"neat\" + 0.034*\"palomar\" + 0.034*\"octob\" + 0.025*\"decemb\" + 0.024*\"august\" + 0.023*\"anderson\" + 0.023*\"mesa\"\n", - "\n", - "Topic: 48\n", - "0.112*\"art\" + 0.063*\"museum\" + 0.037*\"paint\" + 0.036*\"work\" + 0.028*\"artist\" + 0.026*\"galleri\" + 0.025*\"exhibit\" + 0.020*\"collect\" + 0.015*\"histori\" + 0.014*\"design\"\n", - "\n", - "Topic: 4\n", - "0.093*\"club\" + 0.049*\"cup\" + 0.033*\"footbal\" + 0.031*\"goal\" + 0.022*\"leagu\" + 0.022*\"unit\" + 0.022*\"plai\" + 0.022*\"match\" + 0.018*\"score\" + 0.015*\"player\"\n", - "\n", - "Topic: 27\n", - "0.159*\"district\" + 0.031*\"pennsylvania\" + 0.025*\"grade\" + 0.021*\"educ\" + 0.019*\"fund\" + 0.018*\"basic\" + 0.017*\"level\" + 0.015*\"student\" + 0.014*\"receiv\" + 0.014*\"tax\"\n", - "\n", - "Topic: 17\n", - "0.095*\"season\" + 0.014*\"plai\" + 0.010*\"coach\" + 0.009*\"final\" + 0.009*\"second\" + 0.008*\"win\" + 0.008*\"record\" + 0.008*\"career\" + 0.008*\"finish\" + 0.007*\"point\"\n", - "\n", - "Topic: 40\n", - "0.009*\"time\" + 0.008*\"later\" + 0.007*\"kill\" + 0.006*\"appear\" + 0.005*\"man\" + 0.005*\"death\" + 0.005*\"father\" + 0.005*\"return\" + 0.005*\"son\" + 0.004*\"charact\"\n", - "\n", - "Topic: 20\n", - "0.008*\"us\" + 0.006*\"gener\" + 0.005*\"design\" + 0.005*\"model\" + 0.005*\"develop\" + 0.005*\"time\" + 0.004*\"data\" + 0.004*\"number\" + 0.004*\"function\" + 0.004*\"process\"\n", - "\n", - "Topic: 19\n", - "0.009*\"water\" + 0.008*\"area\" + 0.008*\"speci\" + 0.005*\"larg\" + 0.004*\"order\" + 0.004*\"region\" + 0.004*\"includ\" + 0.004*\"black\" + 0.004*\"famili\" + 0.004*\"popul\"\n", - "\n", - "Topic: 38\n", - "0.044*\"royal\" + 0.020*\"william\" + 0.019*\"john\" + 0.016*\"corp\" + 0.014*\"lieuten\" + 0.013*\"capt\" + 0.012*\"engin\" + 0.011*\"armi\" + 0.011*\"georg\" + 0.011*\"temp\"\n", - "\n", - "\n", - "====================\n", - "lda\n", - "====================\n", - "\n", - "Topic: 35\n", - "0.034*\"kong\" + 0.034*\"japanes\" + 0.033*\"hong\" + 0.023*\"lee\" + 0.021*\"singapor\" + 0.019*\"chines\" + 0.018*\"kim\" + 0.015*\"japan\" + 0.014*\"indonesia\" + 0.014*\"thailand\"\n", - "\n", - "Topic: 23\n", - "0.016*\"medic\" + 0.014*\"health\" + 0.014*\"hospit\" + 0.013*\"cell\" + 0.011*\"diseas\" + 0.010*\"patient\" + 0.009*\"ret\" + 0.009*\"caus\" + 0.008*\"human\" + 0.008*\"treatment\"\n", - "\n", - "Topic: 47\n", - "0.025*\"river\" + 0.024*\"station\" + 0.021*\"line\" + 0.020*\"road\" + 0.017*\"railwai\" + 0.015*\"rout\" + 0.013*\"lake\" + 0.012*\"park\" + 0.011*\"bridg\" + 0.011*\"area\"\n", - "\n", - "Topic: 14\n", - "0.027*\"univers\" + 0.015*\"research\" + 0.014*\"institut\" + 0.012*\"nation\" + 0.012*\"scienc\" + 0.012*\"work\" + 0.012*\"intern\" + 0.011*\"award\" + 0.011*\"develop\" + 0.010*\"organ\"\n", - "\n", - "Topic: 39\n", - "0.050*\"air\" + 0.026*\"aircraft\" + 0.026*\"oper\" + 0.025*\"airport\" + 0.017*\"forc\" + 0.017*\"flight\" + 0.015*\"squadron\" + 0.014*\"unit\" + 0.012*\"base\" + 0.011*\"wing\"\n", - "\n", - "Topic: 17\n", - "0.060*\"race\" + 0.020*\"car\" + 0.017*\"team\" + 0.012*\"finish\" + 0.012*\"tour\" + 0.012*\"driver\" + 0.011*\"ford\" + 0.011*\"time\" + 0.011*\"championship\" + 0.011*\"year\"\n", - "\n", - "Topic: 4\n", - "0.137*\"school\" + 0.040*\"colleg\" + 0.039*\"student\" + 0.033*\"univers\" + 0.030*\"high\" + 0.028*\"educ\" + 0.016*\"year\" + 0.011*\"graduat\" + 0.010*\"state\" + 0.009*\"campu\"\n", - "\n", - "Topic: 8\n", - "0.048*\"india\" + 0.037*\"indian\" + 0.020*\"http\" + 0.016*\"www\" + 0.015*\"pakistan\" + 0.015*\"iran\" + 0.013*\"sri\" + 0.012*\"khan\" + 0.012*\"islam\" + 0.012*\"tamil\"\n", - "\n", - "Topic: 2\n", - "0.062*\"german\" + 0.039*\"germani\" + 0.025*\"van\" + 0.023*\"von\" + 0.020*\"der\" + 0.019*\"dutch\" + 0.019*\"berlin\" + 0.015*\"swedish\" + 0.014*\"netherland\" + 0.014*\"sweden\"\n", - "\n", - "Topic: 11\n", - "0.024*\"law\" + 0.021*\"court\" + 0.016*\"state\" + 0.016*\"act\" + 0.011*\"polic\" + 0.010*\"case\" + 0.009*\"offic\" + 0.009*\"report\" + 0.009*\"right\" + 0.007*\"legal\"\n", - "\n", - "\n" + "2019-01-31 00:15:57,749 : INFO : topic #48 (0.020): 0.065*\"octob\" + 0.063*\"notion\" + 0.063*\"januari\" + 0.063*\"sens\" + 0.060*\"judici\" + 0.060*\"march\" + 0.059*\"april\" + 0.059*\"august\" + 0.057*\"decatur\" + 0.056*\"juli\"\n", + "2019-01-31 00:15:57,751 : INFO : topic #21 (0.020): 0.025*\"samford\" + 0.021*\"spain\" + 0.019*\"mexico\" + 0.016*\"del\" + 0.012*\"juan\" + 0.012*\"soviet\" + 0.012*\"mexican\" + 0.011*\"plung\" + 0.010*\"santa\" + 0.010*\"josé\"\n", + "2019-01-31 00:15:57,752 : INFO : topic #49 (0.020): 0.028*\"india\" + 0.022*\"incumb\" + 0.007*\"singh\" + 0.006*\"peopl\" + 0.006*\"pakistan\" + 0.006*\"treeless\" + 0.006*\"alam\" + 0.006*\"pradesh\" + 0.006*\"area\" + 0.006*\"khalsa\"\n", + "2019-01-31 00:15:57,758 : INFO : topic diff=0.237375, rho=0.200000\n", + "2019-01-31 00:15:57,910 : INFO : PROGRESS: pass 0, at document #52000/4922894\n", + "2019-01-31 00:15:59,443 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:15:59,707 : INFO : topic #21 (0.020): 0.027*\"samford\" + 0.020*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.013*\"juan\" + 0.011*\"mexican\" + 0.011*\"soviet\" + 0.011*\"josé\" + 0.010*\"plung\" + 0.010*\"rico\"\n", + "2019-01-31 00:15:59,709 : INFO : topic #25 (0.020): 0.022*\"ring\" + 0.015*\"lagrang\" + 0.015*\"mount\" + 0.012*\"area\" + 0.011*\"palmer\" + 0.009*\"warmth\" + 0.008*\"robespierr\" + 0.007*\"natur\" + 0.007*\"mound\" + 0.006*\"foam\"\n", + "2019-01-31 00:15:59,710 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"armi\" + 0.018*\"walter\" + 0.018*\"aggress\" + 0.017*\"com\" + 0.014*\"unionist\" + 0.012*\"oper\" + 0.012*\"militari\" + 0.011*\"diversifi\" + 0.011*\"refut\"\n", + "2019-01-31 00:15:59,711 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.051*\"arsen\" + 0.029*\"line\" + 0.028*\"museo\" + 0.027*\"raid\" + 0.020*\"word\" + 0.020*\"pain\" + 0.017*\"traceabl\" + 0.016*\"artist\" + 0.013*\"gai\"\n", + "2019-01-31 00:15:59,712 : INFO : topic #8 (0.020): 0.032*\"start\" + 0.023*\"law\" + 0.018*\"cortic\" + 0.018*\"act\" + 0.016*\"unionist\" + 0.011*\"feder\" + 0.011*\"ricardo\" + 0.010*\"serv\" + 0.010*\"fengxiang\" + 0.009*\"case\"\n", + "2019-01-31 00:15:59,718 : INFO : topic diff=0.228056, rho=0.196116\n", + "2019-01-31 00:15:59,867 : INFO : PROGRESS: pass 0, at document #54000/4922894\n", + "2019-01-31 00:16:01,364 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:01,628 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"proper\" + 0.008*\"acid\" + 0.007*\"disco\" + 0.007*\"pathwai\" + 0.007*\"treat\" + 0.006*\"caus\" + 0.006*\"gastrointestin\" + 0.006*\"media\" + 0.006*\"effect\"\n", + "2019-01-31 00:16:01,630 : INFO : topic #2 (0.020): 0.046*\"shield\" + 0.025*\"isl\" + 0.018*\"narrat\" + 0.015*\"pope\" + 0.015*\"class\" + 0.013*\"blur\" + 0.011*\"scot\" + 0.011*\"crew\" + 0.010*\"vernon\" + 0.010*\"fleet\"\n", + "2019-01-31 00:16:01,631 : INFO : topic #15 (0.020): 0.020*\"requir\" + 0.012*\"develop\" + 0.012*\"schuster\" + 0.012*\"small\" + 0.011*\"student\" + 0.009*\"word\" + 0.008*\"socialist\" + 0.008*\"human\" + 0.007*\"intern\" + 0.007*\"institut\"\n", + "2019-01-31 00:16:01,633 : INFO : topic #48 (0.020): 0.061*\"march\" + 0.061*\"octob\" + 0.060*\"april\" + 0.059*\"judici\" + 0.059*\"januari\" + 0.059*\"notion\" + 0.059*\"sens\" + 0.057*\"februari\" + 0.054*\"decatur\" + 0.053*\"juli\"\n", + "2019-01-31 00:16:01,635 : INFO : topic #43 (0.020): 0.060*\"elect\" + 0.047*\"parti\" + 0.020*\"voluntari\" + 0.019*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"conserv\" + 0.013*\"republ\" + 0.012*\"bypass\" + 0.012*\"liber\"\n", + "2019-01-31 00:16:01,640 : INFO : topic diff=0.220688, rho=0.192450\n", + "2019-01-31 00:16:01,795 : INFO : PROGRESS: pass 0, at document #56000/4922894\n", + "2019-01-31 00:16:03,341 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:03,606 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.014*\"candid\" + 0.013*\"pour\" + 0.012*\"depress\" + 0.012*\"mode\" + 0.010*\"veget\" + 0.009*\"elabor\" + 0.008*\"produc\" + 0.008*\"mandir\" + 0.007*\"spectacl\"\n", + "2019-01-31 00:16:03,607 : INFO : topic #33 (0.020): 0.043*\"french\" + 0.033*\"franc\" + 0.023*\"jean\" + 0.022*\"pari\" + 0.020*\"daphn\" + 0.020*\"sail\" + 0.019*\"wreath\" + 0.016*\"lazi\" + 0.011*\"piec\" + 0.009*\"convei\"\n", + "2019-01-31 00:16:03,608 : INFO : topic #30 (0.020): 0.032*\"cleveland\" + 0.028*\"leagu\" + 0.026*\"place\" + 0.024*\"taxpay\" + 0.024*\"crete\" + 0.022*\"scientist\" + 0.020*\"folei\" + 0.015*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:16:03,609 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.050*\"arsen\" + 0.034*\"line\" + 0.029*\"raid\" + 0.027*\"museo\" + 0.021*\"word\" + 0.020*\"pain\" + 0.019*\"traceabl\" + 0.016*\"artist\" + 0.014*\"exhaust\"\n", + "2019-01-31 00:16:03,610 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.019*\"north\" + 0.019*\"england\" + 0.017*\"ireland\" + 0.017*\"earthworm\" + 0.017*\"weekli\" + 0.013*\"australia\" + 0.013*\"wale\" + 0.013*\"london\" + 0.012*\"ipa\"\n", + "2019-01-31 00:16:03,616 : INFO : topic diff=0.216646, rho=0.188982\n", + "2019-01-31 00:16:03,772 : INFO : PROGRESS: pass 0, at document #58000/4922894\n", + "2019-01-31 00:16:05,313 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:05,579 : INFO : topic #17 (0.020): 0.047*\"church\" + 0.021*\"bishop\" + 0.019*\"centuri\" + 0.017*\"retroflex\" + 0.016*\"cathol\" + 0.014*\"fifteenth\" + 0.013*\"sail\" + 0.013*\"jpg\" + 0.011*\"italian\" + 0.010*\"christian\"\n", + "2019-01-31 00:16:05,580 : INFO : topic #32 (0.020): 0.082*\"district\" + 0.063*\"vigour\" + 0.044*\"popolo\" + 0.033*\"regim\" + 0.029*\"multitud\" + 0.028*\"tortur\" + 0.023*\"prosper\" + 0.023*\"cotton\" + 0.020*\"area\" + 0.018*\"cede\"\n", + "2019-01-31 00:16:05,581 : INFO : topic #23 (0.020): 0.120*\"audit\" + 0.059*\"best\" + 0.026*\"jacksonvil\" + 0.022*\"yawn\" + 0.022*\"noll\" + 0.020*\"japanes\" + 0.017*\"women\" + 0.012*\"prison\" + 0.010*\"festiv\" + 0.010*\"intern\"\n", + "2019-01-31 00:16:05,582 : INFO : topic #2 (0.020): 0.046*\"shield\" + 0.030*\"isl\" + 0.017*\"narrat\" + 0.015*\"pope\" + 0.015*\"class\" + 0.012*\"blur\" + 0.011*\"scot\" + 0.011*\"crew\" + 0.010*\"vernon\" + 0.010*\"coalit\"\n", + "2019-01-31 00:16:05,583 : INFO : topic #15 (0.020): 0.020*\"requir\" + 0.013*\"schuster\" + 0.013*\"develop\" + 0.011*\"small\" + 0.011*\"word\" + 0.010*\"student\" + 0.009*\"socialist\" + 0.008*\"human\" + 0.007*\"intern\" + 0.006*\"theoret\"\n", + "2019-01-31 00:16:05,589 : INFO : topic diff=0.207294, rho=0.185695\n", + "2019-01-31 00:16:08,366 : INFO : -11.864 per-word bound, 3727.7 perplexity estimate based on a held-out corpus of 2000 documents with 543136 words\n", + "2019-01-31 00:16:08,367 : INFO : PROGRESS: pass 0, at document #60000/4922894\n", + "2019-01-31 00:16:09,880 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:10,144 : INFO : topic #13 (0.020): 0.031*\"sourc\" + 0.018*\"england\" + 0.018*\"ireland\" + 0.018*\"north\" + 0.017*\"weekli\" + 0.016*\"australia\" + 0.016*\"earthworm\" + 0.014*\"london\" + 0.012*\"ipa\" + 0.012*\"castl\"\n", + "2019-01-31 00:16:10,145 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.013*\"candid\" + 0.013*\"pour\" + 0.012*\"depress\" + 0.012*\"mode\" + 0.011*\"veget\" + 0.008*\"elabor\" + 0.008*\"produc\" + 0.007*\"mandir\" + 0.007*\"spectacl\"\n", + "2019-01-31 00:16:10,146 : INFO : topic #34 (0.020): 0.049*\"start\" + 0.045*\"cotton\" + 0.019*\"unionist\" + 0.017*\"terri\" + 0.016*\"california\" + 0.014*\"toni\" + 0.012*\"violent\" + 0.012*\"carefulli\" + 0.010*\"citi\" + 0.010*\"warrior\"\n", + "2019-01-31 00:16:10,148 : INFO : topic #29 (0.020): 0.015*\"govern\" + 0.013*\"replac\" + 0.007*\"start\" + 0.007*\"nation\" + 0.007*\"yawn\" + 0.007*\"organ\" + 0.006*\"unfortun\" + 0.006*\"placement\" + 0.006*\"countri\" + 0.005*\"million\"\n", + "2019-01-31 00:16:10,149 : INFO : topic #38 (0.020): 0.015*\"king\" + 0.015*\"walter\" + 0.010*\"aza\" + 0.009*\"teufel\" + 0.007*\"battalion\" + 0.007*\"till\" + 0.007*\"yawn\" + 0.006*\"french\" + 0.006*\"embassi\" + 0.006*\"princess\"\n", + "2019-01-31 00:16:10,155 : INFO : topic diff=0.195251, rho=0.182574\n", + "2019-01-31 00:16:10,363 : INFO : PROGRESS: pass 0, at document #62000/4922894\n", + "2019-01-31 00:16:11,872 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:12,137 : INFO : topic #2 (0.020): 0.041*\"shield\" + 0.038*\"isl\" + 0.021*\"pope\" + 0.017*\"narrat\" + 0.014*\"class\" + 0.014*\"blur\" + 0.011*\"crew\" + 0.011*\"scot\" + 0.011*\"coalit\" + 0.011*\"fleet\"\n", + "2019-01-31 00:16:12,139 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.024*\"reconstruct\" + 0.020*\"band\" + 0.019*\"muscl\" + 0.017*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.011*\"myspac\"\n", + "2019-01-31 00:16:12,140 : INFO : topic #15 (0.020): 0.019*\"requir\" + 0.013*\"develop\" + 0.012*\"small\" + 0.012*\"schuster\" + 0.011*\"student\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.008*\"socialist\" + 0.008*\"human\" + 0.008*\"intern\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:16:12,142 : INFO : topic #30 (0.020): 0.033*\"cleveland\" + 0.029*\"leagu\" + 0.026*\"place\" + 0.024*\"taxpay\" + 0.022*\"scientist\" + 0.022*\"crete\" + 0.020*\"folei\" + 0.014*\"martin\" + 0.014*\"goal\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:16:12,143 : INFO : topic #49 (0.020): 0.032*\"india\" + 0.030*\"incumb\" + 0.010*\"singh\" + 0.009*\"alam\" + 0.008*\"televis\" + 0.007*\"sri\" + 0.006*\"pakistan\" + 0.006*\"tajikistan\" + 0.006*\"peopl\" + 0.006*\"muhammad\"\n", + "2019-01-31 00:16:12,149 : INFO : topic diff=0.184001, rho=0.179605\n", + "2019-01-31 00:16:12,306 : INFO : PROGRESS: pass 0, at document #64000/4922894\n", + "2019-01-31 00:16:13,850 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:14,115 : INFO : topic #15 (0.020): 0.019*\"requir\" + 0.013*\"develop\" + 0.012*\"schuster\" + 0.011*\"small\" + 0.010*\"word\" + 0.010*\"student\" + 0.008*\"cultur\" + 0.008*\"intern\" + 0.008*\"socialist\" + 0.008*\"human\"\n", + "2019-01-31 00:16:14,116 : INFO : topic #16 (0.020): 0.018*\"margin\" + 0.017*\"quarterli\" + 0.015*\"priest\" + 0.015*\"rotterdam\" + 0.014*\"london\" + 0.013*\"daughter\" + 0.011*\"duke\" + 0.011*\"marriag\" + 0.011*\"di\" + 0.010*\"sino\"\n", + "2019-01-31 00:16:14,117 : INFO : topic #34 (0.020): 0.053*\"start\" + 0.045*\"cotton\" + 0.020*\"unionist\" + 0.017*\"terri\" + 0.015*\"california\" + 0.012*\"toni\" + 0.012*\"violent\" + 0.012*\"warrior\" + 0.012*\"carefulli\" + 0.010*\"north\"\n", + "2019-01-31 00:16:14,119 : INFO : topic #29 (0.020): 0.015*\"govern\" + 0.012*\"replac\" + 0.007*\"yawn\" + 0.007*\"start\" + 0.007*\"nation\" + 0.006*\"unfortun\" + 0.006*\"organ\" + 0.006*\"placement\" + 0.005*\"countri\" + 0.005*\"new\"\n", + "2019-01-31 00:16:14,119 : INFO : topic #13 (0.020): 0.030*\"sourc\" + 0.018*\"ireland\" + 0.018*\"england\" + 0.017*\"north\" + 0.017*\"earthworm\" + 0.016*\"australia\" + 0.016*\"weekli\" + 0.014*\"london\" + 0.014*\"youth\" + 0.012*\"wale\"\n", + "2019-01-31 00:16:14,125 : INFO : topic diff=0.177516, rho=0.176777\n", + "2019-01-31 00:16:14,280 : INFO : PROGRESS: pass 0, at document #66000/4922894\n", + "2019-01-31 00:16:15,801 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:16,066 : INFO : topic #18 (0.020): 0.007*\"man\" + 0.007*\"théori\" + 0.007*\"kill\" + 0.006*\"later\" + 0.005*\"deal\" + 0.005*\"sack\" + 0.004*\"life\" + 0.004*\"charact\" + 0.004*\"teatro\" + 0.004*\"fraud\"\n", + "2019-01-31 00:16:16,067 : INFO : topic #27 (0.020): 0.048*\"questionnair\" + 0.015*\"dai\" + 0.015*\"taxpay\" + 0.015*\"rick\" + 0.015*\"tornado\" + 0.013*\"théori\" + 0.011*\"find\" + 0.011*\"horac\" + 0.011*\"squatter\" + 0.010*\"yawn\"\n", + "2019-01-31 00:16:16,068 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.048*\"arsen\" + 0.035*\"line\" + 0.031*\"raid\" + 0.026*\"museo\" + 0.022*\"traceabl\" + 0.022*\"word\" + 0.019*\"pain\" + 0.016*\"artist\" + 0.013*\"gai\"\n", + "2019-01-31 00:16:16,069 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.022*\"will\" + 0.016*\"jame\" + 0.013*\"georg\" + 0.012*\"rival\" + 0.010*\"rhyme\" + 0.009*\"david\" + 0.009*\"slur\" + 0.009*\"thirtieth\" + 0.007*\"edg\"\n", + "2019-01-31 00:16:16,070 : INFO : topic #3 (0.020): 0.028*\"present\" + 0.023*\"seri\" + 0.020*\"minist\" + 0.020*\"offic\" + 0.016*\"american\" + 0.016*\"gener\" + 0.016*\"appeas\" + 0.015*\"chickasaw\" + 0.014*\"start\" + 0.013*\"bone\"\n", + "2019-01-31 00:16:16,076 : INFO : topic diff=0.174786, rho=0.174078\n", + "2019-01-31 00:16:16,234 : INFO : PROGRESS: pass 0, at document #68000/4922894\n", + "2019-01-31 00:16:17,818 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:18,083 : INFO : topic #40 (0.020): 0.075*\"unit\" + 0.027*\"collector\" + 0.013*\"american\" + 0.012*\"governor\" + 0.012*\"professor\" + 0.011*\"institut\" + 0.011*\"new\" + 0.010*\"start\" + 0.010*\"schuster\" + 0.010*\"degre\"\n", + "2019-01-31 00:16:18,084 : INFO : topic #7 (0.020): 0.017*\"snatch\" + 0.015*\"church\" + 0.014*\"di\" + 0.013*\"locri\" + 0.012*\"factor\" + 0.011*\"john\" + 0.010*\"sir\" + 0.010*\"yawn\" + 0.009*\"margin\" + 0.008*\"life\"\n", + "2019-01-31 00:16:18,086 : INFO : topic #42 (0.020): 0.029*\"german\" + 0.017*\"germani\" + 0.011*\"vol\" + 0.011*\"der\" + 0.010*\"jewish\" + 0.010*\"greek\" + 0.009*\"berlin\" + 0.009*\"israel\" + 0.008*\"anglo\" + 0.007*\"austria\"\n", + "2019-01-31 00:16:18,087 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.018*\"lagrang\" + 0.014*\"mount\" + 0.013*\"area\" + 0.011*\"warmth\" + 0.010*\"palmer\" + 0.009*\"mound\" + 0.008*\"foam\" + 0.007*\"isl\" + 0.007*\"natur\"\n", + "2019-01-31 00:16:18,088 : INFO : topic #28 (0.020): 0.024*\"build\" + 0.019*\"hous\" + 0.017*\"rivièr\" + 0.015*\"buford\" + 0.010*\"histor\" + 0.009*\"lobe\" + 0.009*\"briarwood\" + 0.009*\"area\" + 0.009*\"constitut\" + 0.009*\"tortur\"\n", + "2019-01-31 00:16:18,094 : INFO : topic diff=0.168273, rho=0.171499\n", + "2019-01-31 00:16:18,247 : INFO : PROGRESS: pass 0, at document #70000/4922894\n", + "2019-01-31 00:16:19,759 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:20,024 : INFO : topic #22 (0.020): 0.028*\"spars\" + 0.026*\"factor\" + 0.021*\"adulthood\" + 0.015*\"hostil\" + 0.014*\"feel\" + 0.014*\"popolo\" + 0.012*\"male\" + 0.012*\"plaisir\" + 0.012*\"live\" + 0.010*\"yawn\"\n", + "2019-01-31 00:16:20,025 : INFO : topic #15 (0.020): 0.019*\"requir\" + 0.013*\"develop\" + 0.012*\"small\" + 0.011*\"schuster\" + 0.011*\"word\" + 0.010*\"student\" + 0.009*\"human\" + 0.009*\"intern\" + 0.008*\"socialist\" + 0.008*\"cultur\"\n", + "2019-01-31 00:16:20,027 : INFO : topic #33 (0.020): 0.046*\"french\" + 0.036*\"franc\" + 0.024*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.018*\"daphn\" + 0.012*\"lazi\" + 0.012*\"convei\" + 0.012*\"piec\" + 0.011*\"focal\"\n", + "2019-01-31 00:16:20,028 : INFO : topic #20 (0.020): 0.103*\"scholar\" + 0.033*\"struggl\" + 0.029*\"educ\" + 0.022*\"high\" + 0.016*\"yawn\" + 0.013*\"prognosi\" + 0.012*\"collector\" + 0.010*\"commun\" + 0.008*\"class\" + 0.007*\"children\"\n", + "2019-01-31 00:16:20,029 : INFO : topic #46 (0.020): 0.028*\"warmth\" + 0.015*\"turkish\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.013*\"norwai\" + 0.013*\"sweden\" + 0.012*\"turkei\" + 0.012*\"swedish\" + 0.010*\"cameron\" + 0.009*\"wind\"\n", + "2019-01-31 00:16:20,036 : INFO : topic diff=0.152998, rho=0.169031\n", + "2019-01-31 00:16:20,192 : INFO : PROGRESS: pass 0, at document #72000/4922894\n", + "2019-01-31 00:16:21,747 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:22,012 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.021*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.011*\"santa\" + 0.010*\"juan\" + 0.010*\"carlo\" + 0.010*\"francisco\" + 0.009*\"mexican\"\n", + "2019-01-31 00:16:22,014 : INFO : topic #35 (0.020): 0.039*\"china\" + 0.034*\"russia\" + 0.032*\"sovereignti\" + 0.025*\"chilton\" + 0.024*\"rural\" + 0.017*\"reprint\" + 0.016*\"personifi\" + 0.015*\"poison\" + 0.012*\"moscow\" + 0.011*\"unfortun\"\n", + "2019-01-31 00:16:22,015 : INFO : topic #18 (0.020): 0.007*\"man\" + 0.007*\"théori\" + 0.007*\"kill\" + 0.006*\"later\" + 0.005*\"deal\" + 0.005*\"sack\" + 0.004*\"life\" + 0.004*\"charact\" + 0.004*\"help\" + 0.004*\"fraud\"\n", + "2019-01-31 00:16:22,017 : INFO : topic #27 (0.020): 0.056*\"questionnair\" + 0.015*\"taxpay\" + 0.014*\"dai\" + 0.014*\"tornado\" + 0.013*\"théori\" + 0.012*\"rick\" + 0.012*\"candid\" + 0.011*\"find\" + 0.011*\"driver\" + 0.010*\"squatter\"\n", + "2019-01-31 00:16:22,018 : INFO : topic #20 (0.020): 0.103*\"scholar\" + 0.032*\"struggl\" + 0.028*\"educ\" + 0.022*\"high\" + 0.016*\"yawn\" + 0.013*\"prognosi\" + 0.012*\"collector\" + 0.010*\"commun\" + 0.008*\"class\" + 0.008*\"task\"\n", + "2019-01-31 00:16:22,024 : INFO : topic diff=0.152972, rho=0.166667\n", + "2019-01-31 00:16:22,179 : INFO : PROGRESS: pass 0, at document #74000/4922894\n", + "2019-01-31 00:16:23,699 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:23,963 : INFO : topic #46 (0.020): 0.023*\"warmth\" + 0.019*\"damag\" + 0.015*\"turkish\" + 0.014*\"cameron\" + 0.014*\"turkei\" + 0.013*\"sweden\" + 0.013*\"norwai\" + 0.013*\"norwegian\" + 0.011*\"ton\" + 0.011*\"swedish\"\n", + "2019-01-31 00:16:23,965 : INFO : topic #2 (0.020): 0.042*\"shield\" + 0.034*\"isl\" + 0.017*\"pope\" + 0.015*\"narrat\" + 0.015*\"class\" + 0.013*\"blur\" + 0.012*\"scot\" + 0.012*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\"\n", + "2019-01-31 00:16:23,966 : INFO : topic #17 (0.020): 0.044*\"church\" + 0.019*\"centuri\" + 0.017*\"bishop\" + 0.016*\"fifteenth\" + 0.016*\"retroflex\" + 0.016*\"cathol\" + 0.015*\"jpg\" + 0.013*\"italian\" + 0.013*\"sail\" + 0.010*\"christian\"\n", + "2019-01-31 00:16:23,968 : INFO : topic #42 (0.020): 0.030*\"german\" + 0.018*\"germani\" + 0.011*\"jewish\" + 0.011*\"der\" + 0.010*\"vol\" + 0.010*\"anglo\" + 0.009*\"berlin\" + 0.009*\"israel\" + 0.009*\"greek\" + 0.007*\"jeremiah\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:16:23,969 : INFO : topic #22 (0.020): 0.028*\"spars\" + 0.027*\"factor\" + 0.021*\"adulthood\" + 0.016*\"hostil\" + 0.015*\"feel\" + 0.014*\"popolo\" + 0.012*\"male\" + 0.012*\"live\" + 0.010*\"plaisir\" + 0.010*\"yawn\"\n", + "2019-01-31 00:16:23,975 : INFO : topic diff=0.148557, rho=0.164399\n", + "2019-01-31 00:16:24,128 : INFO : PROGRESS: pass 0, at document #76000/4922894\n", + "2019-01-31 00:16:25,653 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:25,917 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.023*\"offic\" + 0.022*\"minist\" + 0.021*\"seri\" + 0.015*\"gener\" + 0.015*\"appeas\" + 0.014*\"chickasaw\" + 0.013*\"start\" + 0.012*\"member\" + 0.012*\"american\"\n", + "2019-01-31 00:16:25,918 : INFO : topic #14 (0.020): 0.021*\"walter\" + 0.021*\"forc\" + 0.019*\"armi\" + 0.019*\"aggress\" + 0.018*\"com\" + 0.014*\"militari\" + 0.013*\"unionist\" + 0.012*\"oper\" + 0.011*\"refut\" + 0.011*\"serv\"\n", + "2019-01-31 00:16:25,919 : INFO : topic #28 (0.020): 0.024*\"build\" + 0.019*\"hous\" + 0.018*\"rivièr\" + 0.014*\"buford\" + 0.010*\"histor\" + 0.010*\"rosenwald\" + 0.010*\"lobe\" + 0.009*\"area\" + 0.009*\"constitut\" + 0.009*\"briarwood\"\n", + "2019-01-31 00:16:25,920 : INFO : topic #44 (0.020): 0.027*\"rooftop\" + 0.025*\"wife\" + 0.025*\"final\" + 0.019*\"tourist\" + 0.016*\"champion\" + 0.014*\"chamber\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.012*\"taxpay\" + 0.012*\"ret\"\n", + "2019-01-31 00:16:25,921 : INFO : topic #19 (0.020): 0.008*\"like\" + 0.008*\"form\" + 0.008*\"uruguayan\" + 0.007*\"origin\" + 0.007*\"woodcut\" + 0.007*\"mean\" + 0.007*\"charact\" + 0.007*\"differ\" + 0.006*\"pour\" + 0.006*\"anim\"\n", + "2019-01-31 00:16:25,927 : INFO : topic diff=0.135212, rho=0.162221\n", + "2019-01-31 00:16:26,085 : INFO : PROGRESS: pass 0, at document #78000/4922894\n", + "2019-01-31 00:16:27,656 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:27,921 : INFO : topic #17 (0.020): 0.043*\"church\" + 0.021*\"retroflex\" + 0.020*\"centuri\" + 0.018*\"bishop\" + 0.015*\"cathol\" + 0.015*\"fifteenth\" + 0.014*\"jpg\" + 0.013*\"sail\" + 0.013*\"italian\" + 0.011*\"christian\"\n", + "2019-01-31 00:16:27,922 : INFO : topic #14 (0.020): 0.021*\"walter\" + 0.020*\"forc\" + 0.020*\"aggress\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"militari\" + 0.014*\"unionist\" + 0.011*\"oper\" + 0.010*\"serv\" + 0.010*\"airmen\"\n", + "2019-01-31 00:16:27,923 : INFO : topic #42 (0.020): 0.030*\"german\" + 0.018*\"germani\" + 0.012*\"vol\" + 0.011*\"jewish\" + 0.010*\"der\" + 0.010*\"anglo\" + 0.009*\"berlin\" + 0.009*\"israel\" + 0.008*\"greek\" + 0.006*\"und\"\n", + "2019-01-31 00:16:27,925 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.020*\"del\" + 0.019*\"spain\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.011*\"santa\" + 0.010*\"josé\" + 0.010*\"juan\" + 0.010*\"mexican\" + 0.010*\"carlo\"\n", + "2019-01-31 00:16:27,926 : INFO : topic #15 (0.020): 0.018*\"requir\" + 0.014*\"develop\" + 0.013*\"small\" + 0.011*\"schuster\" + 0.010*\"student\" + 0.010*\"word\" + 0.009*\"human\" + 0.008*\"commun\" + 0.008*\"intern\" + 0.008*\"socialist\"\n", + "2019-01-31 00:16:27,932 : INFO : topic diff=0.140688, rho=0.160128\n", + "2019-01-31 00:16:30,791 : INFO : -11.771 per-word bound, 3493.9 perplexity estimate based on a held-out corpus of 2000 documents with 590987 words\n", + "2019-01-31 00:16:30,792 : INFO : PROGRESS: pass 0, at document #80000/4922894\n", + "2019-01-31 00:16:32,340 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:32,604 : INFO : topic #34 (0.020): 0.061*\"start\" + 0.046*\"cotton\" + 0.023*\"toni\" + 0.023*\"unionist\" + 0.015*\"terri\" + 0.014*\"california\" + 0.012*\"violent\" + 0.011*\"carefulli\" + 0.011*\"north\" + 0.010*\"new\"\n", + "2019-01-31 00:16:32,605 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"gener\" + 0.007*\"frontal\" + 0.006*\"turn\" + 0.006*\"utopian\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"differ\"\n", + "2019-01-31 00:16:32,606 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.005*\"théori\" + 0.005*\"place\" + 0.005*\"gestur\" + 0.004*\"night\" + 0.004*\"bewild\" + 0.004*\"appear\" + 0.004*\"introductori\" + 0.004*\"dai\" + 0.004*\"litig\"\n", + "2019-01-31 00:16:32,608 : INFO : topic #24 (0.020): 0.035*\"book\" + 0.030*\"publicis\" + 0.018*\"word\" + 0.013*\"new\" + 0.012*\"storag\" + 0.012*\"edit\" + 0.011*\"presid\" + 0.011*\"magazin\" + 0.011*\"nicola\" + 0.010*\"worldwid\"\n", + "2019-01-31 00:16:32,609 : INFO : topic #42 (0.020): 0.029*\"german\" + 0.018*\"germani\" + 0.012*\"vol\" + 0.011*\"jewish\" + 0.009*\"anglo\" + 0.009*\"berlin\" + 0.009*\"israel\" + 0.009*\"der\" + 0.008*\"greek\" + 0.007*\"hungarian\"\n", + "2019-01-31 00:16:32,615 : INFO : topic diff=0.136293, rho=0.158114\n", + "2019-01-31 00:16:32,768 : INFO : PROGRESS: pass 0, at document #82000/4922894\n", + "2019-01-31 00:16:34,281 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:34,546 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.022*\"london\" + 0.021*\"australia\" + 0.020*\"ireland\" + 0.019*\"england\" + 0.017*\"north\" + 0.016*\"weekli\" + 0.014*\"wale\" + 0.014*\"earthworm\" + 0.013*\"castl\"\n", + "2019-01-31 00:16:34,547 : INFO : topic #28 (0.020): 0.024*\"build\" + 0.019*\"hous\" + 0.017*\"rivièr\" + 0.014*\"buford\" + 0.010*\"histor\" + 0.010*\"rosenwald\" + 0.009*\"lobe\" + 0.009*\"constitut\" + 0.009*\"briarwood\" + 0.009*\"area\"\n", + "2019-01-31 00:16:34,548 : INFO : topic #49 (0.020): 0.034*\"india\" + 0.023*\"incumb\" + 0.009*\"treeless\" + 0.009*\"pakistan\" + 0.009*\"tajikistan\" + 0.009*\"sri\" + 0.008*\"televis\" + 0.008*\"khalsa\" + 0.007*\"muskoge\" + 0.006*\"alam\"\n", + "2019-01-31 00:16:34,550 : INFO : topic #46 (0.020): 0.022*\"warmth\" + 0.020*\"stop\" + 0.017*\"damag\" + 0.016*\"wind\" + 0.012*\"norwai\" + 0.011*\"sweden\" + 0.011*\"cameron\" + 0.011*\"turkish\" + 0.011*\"norwegian\" + 0.009*\"turkei\"\n", + "2019-01-31 00:16:34,551 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.031*\"leagu\" + 0.026*\"place\" + 0.024*\"taxpay\" + 0.024*\"crete\" + 0.022*\"scientist\" + 0.020*\"folei\" + 0.014*\"martin\" + 0.013*\"goal\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:16:34,557 : INFO : topic diff=0.124826, rho=0.156174\n", + "2019-01-31 00:16:34,714 : INFO : PROGRESS: pass 0, at document #84000/4922894\n", + "2019-01-31 00:16:36,235 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:36,500 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.032*\"leagu\" + 0.026*\"place\" + 0.024*\"crete\" + 0.024*\"taxpay\" + 0.022*\"scientist\" + 0.021*\"folei\" + 0.014*\"goal\" + 0.013*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:16:36,501 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.010*\"candid\" + 0.010*\"veget\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"produc\" + 0.008*\"turn\" + 0.008*\"fuel\"\n", + "2019-01-31 00:16:36,503 : INFO : topic #9 (0.020): 0.063*\"bone\" + 0.036*\"american\" + 0.016*\"valour\" + 0.013*\"smithsonian\" + 0.012*\"player\" + 0.012*\"dutch\" + 0.012*\"simpler\" + 0.012*\"folei\" + 0.011*\"english\" + 0.010*\"polit\"\n", + "2019-01-31 00:16:36,504 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.043*\"cotton\" + 0.023*\"unionist\" + 0.018*\"toni\" + 0.015*\"terri\" + 0.013*\"california\" + 0.013*\"violent\" + 0.012*\"north\" + 0.011*\"carefulli\" + 0.010*\"weekli\"\n", + "2019-01-31 00:16:36,505 : INFO : topic #25 (0.020): 0.026*\"ring\" + 0.016*\"lagrang\" + 0.014*\"mount\" + 0.014*\"area\" + 0.012*\"warmth\" + 0.009*\"palmer\" + 0.008*\"north\" + 0.007*\"mound\" + 0.007*\"foam\" + 0.007*\"lobe\"\n", + "2019-01-31 00:16:36,511 : INFO : topic diff=0.120656, rho=0.154303\n", + "2019-01-31 00:16:36,663 : INFO : PROGRESS: pass 0, at document #86000/4922894\n", + "2019-01-31 00:16:38,389 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:38,654 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"rel\" + 0.028*\"son\" + 0.027*\"reconstruct\" + 0.020*\"band\" + 0.019*\"muscl\" + 0.017*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 00:16:38,656 : INFO : topic #18 (0.020): 0.007*\"kill\" + 0.007*\"man\" + 0.006*\"théori\" + 0.006*\"later\" + 0.005*\"sack\" + 0.005*\"deal\" + 0.004*\"life\" + 0.004*\"charact\" + 0.004*\"fraud\" + 0.004*\"retrospect\"\n", + "2019-01-31 00:16:38,657 : INFO : topic #42 (0.020): 0.029*\"german\" + 0.018*\"germani\" + 0.012*\"vol\" + 0.011*\"jewish\" + 0.010*\"der\" + 0.010*\"berlin\" + 0.009*\"israel\" + 0.009*\"anglo\" + 0.008*\"austria\" + 0.008*\"egypt\"\n", + "2019-01-31 00:16:38,658 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.005*\"place\" + 0.005*\"gestur\" + 0.005*\"théori\" + 0.004*\"night\" + 0.004*\"litig\" + 0.004*\"bewild\" + 0.004*\"introductori\" + 0.004*\"appear\" + 0.003*\"dai\"\n", + "2019-01-31 00:16:38,659 : INFO : topic #33 (0.020): 0.050*\"french\" + 0.038*\"franc\" + 0.026*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.016*\"daphn\" + 0.015*\"wreath\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"quebec\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:16:38,665 : INFO : topic diff=0.113836, rho=0.152499\n", + "2019-01-31 00:16:38,821 : INFO : PROGRESS: pass 0, at document #88000/4922894\n", + "2019-01-31 00:16:40,395 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:40,660 : INFO : topic #22 (0.020): 0.031*\"spars\" + 0.024*\"factor\" + 0.021*\"adulthood\" + 0.018*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.014*\"popolo\" + 0.012*\"live\" + 0.010*\"plaisir\" + 0.010*\"avail\"\n", + "2019-01-31 00:16:40,661 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.040*\"cotton\" + 0.023*\"unionist\" + 0.015*\"toni\" + 0.015*\"california\" + 0.015*\"terri\" + 0.012*\"violent\" + 0.012*\"north\" + 0.010*\"carefulli\" + 0.010*\"new\"\n", + "2019-01-31 00:16:40,662 : INFO : topic #11 (0.020): 0.030*\"john\" + 0.019*\"will\" + 0.016*\"jame\" + 0.012*\"georg\" + 0.012*\"rival\" + 0.010*\"david\" + 0.009*\"rhyme\" + 0.009*\"thirtieth\" + 0.009*\"slur\" + 0.007*\"chandra\"\n", + "2019-01-31 00:16:40,663 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"differ\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"cytokin\"\n", + "2019-01-31 00:16:40,664 : INFO : topic #40 (0.020): 0.082*\"unit\" + 0.033*\"collector\" + 0.015*\"institut\" + 0.013*\"american\" + 0.012*\"scholar\" + 0.012*\"schuster\" + 0.011*\"degre\" + 0.011*\"governor\" + 0.011*\"student\" + 0.011*\"professor\"\n", + "2019-01-31 00:16:40,670 : INFO : topic diff=0.112515, rho=0.150756\n", + "2019-01-31 00:16:40,827 : INFO : PROGRESS: pass 0, at document #90000/4922894\n", + "2019-01-31 00:16:42,365 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:42,630 : INFO : topic #40 (0.020): 0.082*\"unit\" + 0.032*\"collector\" + 0.015*\"institut\" + 0.013*\"american\" + 0.012*\"scholar\" + 0.012*\"schuster\" + 0.011*\"governor\" + 0.011*\"degre\" + 0.011*\"professor\" + 0.011*\"student\"\n", + "2019-01-31 00:16:42,632 : INFO : topic #42 (0.020): 0.031*\"german\" + 0.018*\"germani\" + 0.013*\"vol\" + 0.011*\"jewish\" + 0.011*\"berlin\" + 0.010*\"der\" + 0.009*\"israel\" + 0.008*\"anglo\" + 0.008*\"austria\" + 0.007*\"greek\"\n", + "2019-01-31 00:16:42,633 : INFO : topic #45 (0.020): 0.017*\"black\" + 0.016*\"record\" + 0.014*\"colder\" + 0.012*\"western\" + 0.011*\"blind\" + 0.010*\"light\" + 0.009*\"depress\" + 0.007*\"arm\" + 0.007*\"hand\" + 0.007*\"green\"\n", + "2019-01-31 00:16:42,634 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"differ\" + 0.006*\"southern\" + 0.006*\"turn\" + 0.006*\"poet\" + 0.006*\"cytokin\"\n", + "2019-01-31 00:16:42,635 : INFO : topic #26 (0.020): 0.031*\"olymp\" + 0.031*\"workplac\" + 0.031*\"champion\" + 0.026*\"medal\" + 0.022*\"event\" + 0.022*\"woman\" + 0.019*\"gold\" + 0.019*\"rainfal\" + 0.018*\"men\" + 0.017*\"nation\"\n", + "2019-01-31 00:16:42,641 : INFO : topic diff=0.111307, rho=0.149071\n", + "2019-01-31 00:16:42,791 : INFO : PROGRESS: pass 0, at document #92000/4922894\n", + "2019-01-31 00:16:44,271 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:44,536 : INFO : topic #38 (0.020): 0.019*\"king\" + 0.014*\"walter\" + 0.013*\"aza\" + 0.013*\"teufel\" + 0.008*\"empath\" + 0.008*\"till\" + 0.008*\"embassi\" + 0.007*\"battalion\" + 0.007*\"armi\" + 0.006*\"forc\"\n", + "2019-01-31 00:16:44,538 : INFO : topic #36 (0.020): 0.026*\"companhia\" + 0.013*\"bank\" + 0.012*\"serv\" + 0.009*\"oper\" + 0.009*\"market\" + 0.009*\"develop\" + 0.008*\"busi\" + 0.008*\"manag\" + 0.008*\"produc\" + 0.008*\"includ\"\n", + "2019-01-31 00:16:44,539 : INFO : topic #18 (0.020): 0.007*\"man\" + 0.007*\"kill\" + 0.006*\"théori\" + 0.006*\"later\" + 0.005*\"deal\" + 0.005*\"sack\" + 0.004*\"life\" + 0.004*\"retrospect\" + 0.004*\"fraud\" + 0.004*\"help\"\n", + "2019-01-31 00:16:44,540 : INFO : topic #46 (0.020): 0.023*\"warmth\" + 0.021*\"wind\" + 0.020*\"stop\" + 0.017*\"damag\" + 0.012*\"norwai\" + 0.011*\"swedish\" + 0.011*\"cameron\" + 0.011*\"norwegian\" + 0.011*\"sweden\" + 0.009*\"turkish\"\n", + "2019-01-31 00:16:44,541 : INFO : topic #33 (0.020): 0.048*\"french\" + 0.039*\"franc\" + 0.024*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.013*\"piec\" + 0.012*\"loui\" + 0.012*\"wreath\"\n", + "2019-01-31 00:16:44,547 : INFO : topic diff=0.099452, rho=0.147442\n", + "2019-01-31 00:16:44,753 : INFO : PROGRESS: pass 0, at document #94000/4922894\n", + "2019-01-31 00:16:46,265 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:46,530 : INFO : topic #35 (0.020): 0.040*\"russia\" + 0.035*\"china\" + 0.024*\"rural\" + 0.021*\"sovereignti\" + 0.020*\"chilton\" + 0.018*\"reprint\" + 0.018*\"poison\" + 0.017*\"personifi\" + 0.014*\"unfortun\" + 0.013*\"shirin\"\n", + "2019-01-31 00:16:46,531 : INFO : topic #14 (0.020): 0.022*\"walter\" + 0.021*\"forc\" + 0.019*\"armi\" + 0.019*\"aggress\" + 0.017*\"com\" + 0.015*\"militari\" + 0.013*\"unionist\" + 0.012*\"oper\" + 0.011*\"refut\" + 0.011*\"airmen\"\n", + "2019-01-31 00:16:46,532 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.052*\"parti\" + 0.026*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"seaport\" + 0.013*\"republ\" + 0.013*\"bypass\" + 0.012*\"liber\"\n", + "2019-01-31 00:16:46,534 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.069*\"best\" + 0.031*\"yawn\" + 0.028*\"jacksonvil\" + 0.027*\"japanes\" + 0.023*\"noll\" + 0.017*\"women\" + 0.014*\"prison\" + 0.013*\"festiv\" + 0.010*\"intern\"\n", + "2019-01-31 00:16:46,535 : INFO : topic #47 (0.020): 0.073*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"compos\" + 0.016*\"physician\" + 0.015*\"damn\" + 0.014*\"place\" + 0.014*\"orchestr\" + 0.013*\"jack\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:16:46,541 : INFO : topic diff=0.100869, rho=0.145865\n", + "2019-01-31 00:16:46,699 : INFO : PROGRESS: pass 0, at document #96000/4922894\n", + "2019-01-31 00:16:48,255 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:48,520 : INFO : topic #45 (0.020): 0.019*\"record\" + 0.017*\"black\" + 0.016*\"western\" + 0.014*\"blind\" + 0.013*\"colder\" + 0.011*\"light\" + 0.008*\"depress\" + 0.008*\"wors\" + 0.007*\"bodi\" + 0.007*\"glass\"\n", + "2019-01-31 00:16:48,521 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.026*\"factor\" + 0.021*\"adulthood\" + 0.019*\"male\" + 0.017*\"feel\" + 0.016*\"hostil\" + 0.013*\"popolo\" + 0.012*\"live\" + 0.010*\"avail\" + 0.010*\"genu\"\n", + "2019-01-31 00:16:48,522 : INFO : topic #0 (0.020): 0.059*\"statewid\" + 0.052*\"arsen\" + 0.041*\"line\" + 0.035*\"raid\" + 0.032*\"museo\" + 0.021*\"word\" + 0.021*\"pain\" + 0.018*\"traceabl\" + 0.018*\"artist\" + 0.016*\"exhaust\"\n", + "2019-01-31 00:16:48,524 : INFO : topic #9 (0.020): 0.079*\"bone\" + 0.051*\"american\" + 0.016*\"folei\" + 0.016*\"valour\" + 0.015*\"player\" + 0.013*\"polit\" + 0.013*\"simpler\" + 0.011*\"dutch\" + 0.011*\"english\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:16:48,525 : INFO : topic #6 (0.020): 0.065*\"fewer\" + 0.020*\"septemb\" + 0.017*\"epiru\" + 0.017*\"stake\" + 0.016*\"teacher\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"proclaim\" + 0.010*\"direct\" + 0.010*\"pop\"\n", + "2019-01-31 00:16:48,531 : INFO : topic diff=0.100107, rho=0.144338\n", + "2019-01-31 00:16:48,687 : INFO : PROGRESS: pass 0, at document #98000/4922894\n", + "2019-01-31 00:16:50,228 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:50,493 : INFO : topic #7 (0.020): 0.019*\"snatch\" + 0.017*\"di\" + 0.014*\"factor\" + 0.013*\"john\" + 0.012*\"locri\" + 0.011*\"yawn\" + 0.010*\"sir\" + 0.010*\"church\" + 0.009*\"faster\" + 0.009*\"margin\"\n", + "2019-01-31 00:16:50,495 : INFO : topic #48 (0.020): 0.075*\"march\" + 0.073*\"januari\" + 0.070*\"sens\" + 0.066*\"octob\" + 0.061*\"august\" + 0.060*\"juli\" + 0.059*\"april\" + 0.058*\"notion\" + 0.058*\"judici\" + 0.057*\"decatur\"\n", + "2019-01-31 00:16:50,496 : INFO : topic #27 (0.020): 0.058*\"questionnair\" + 0.017*\"taxpay\" + 0.015*\"dai\" + 0.014*\"tornado\" + 0.014*\"candid\" + 0.013*\"yawn\" + 0.011*\"théori\" + 0.011*\"find\" + 0.011*\"allud\" + 0.011*\"driver\"\n", + "2019-01-31 00:16:50,498 : INFO : topic #9 (0.020): 0.078*\"bone\" + 0.049*\"american\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"valour\" + 0.014*\"polit\" + 0.013*\"simpler\" + 0.012*\"dutch\" + 0.011*\"english\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:16:50,499 : INFO : topic #4 (0.020): 0.027*\"enfranchis\" + 0.018*\"candid\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"veget\" + 0.009*\"produc\" + 0.008*\"spectacl\" + 0.008*\"mode\" + 0.007*\"buford\"\n", + "2019-01-31 00:16:50,504 : INFO : topic diff=0.092596, rho=0.142857\n", + "2019-01-31 00:16:53,292 : INFO : -11.669 per-word bound, 3256.5 perplexity estimate based on a held-out corpus of 2000 documents with 568899 words\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:16:53,292 : INFO : PROGRESS: pass 0, at document #100000/4922894\n", + "2019-01-31 00:16:54,816 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:55,081 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.050*\"american\" + 0.018*\"valour\" + 0.017*\"folei\" + 0.016*\"player\" + 0.014*\"dutch\" + 0.014*\"polit\" + 0.013*\"simpler\" + 0.012*\"english\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:16:55,082 : INFO : topic #33 (0.020): 0.053*\"french\" + 0.039*\"franc\" + 0.024*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.015*\"daphn\" + 0.012*\"lazi\" + 0.012*\"piec\" + 0.011*\"loui\" + 0.009*\"focal\"\n", + "2019-01-31 00:16:55,083 : INFO : topic #6 (0.020): 0.064*\"fewer\" + 0.021*\"septemb\" + 0.017*\"stake\" + 0.017*\"epiru\" + 0.017*\"teacher\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.010*\"movi\" + 0.010*\"direct\" + 0.010*\"pop\"\n", + "2019-01-31 00:16:55,084 : INFO : topic #28 (0.020): 0.025*\"build\" + 0.024*\"hous\" + 0.019*\"rivièr\" + 0.016*\"buford\" + 0.012*\"histor\" + 0.010*\"rosenwald\" + 0.010*\"briarwood\" + 0.009*\"constitut\" + 0.009*\"lobe\" + 0.008*\"silicon\"\n", + "2019-01-31 00:16:55,085 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.047*\"arsen\" + 0.042*\"line\" + 0.034*\"raid\" + 0.029*\"museo\" + 0.021*\"traceabl\" + 0.020*\"word\" + 0.019*\"pain\" + 0.016*\"artist\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:16:55,091 : INFO : topic diff=0.098104, rho=0.141421\n", + "2019-01-31 00:16:55,250 : INFO : PROGRESS: pass 0, at document #102000/4922894\n", + "2019-01-31 00:16:56,793 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:57,058 : INFO : topic #44 (0.020): 0.027*\"rooftop\" + 0.025*\"final\" + 0.023*\"ret\" + 0.022*\"wife\" + 0.018*\"season\" + 0.017*\"tourist\" + 0.014*\"winner\" + 0.014*\"chamber\" + 0.013*\"champion\" + 0.013*\"tiepolo\"\n", + "2019-01-31 00:16:57,059 : INFO : topic #1 (0.020): 0.030*\"korean\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.025*\"korea\" + 0.025*\"chilton\" + 0.018*\"leah\" + 0.016*\"han\" + 0.015*\"kim\" + 0.015*\"china\" + 0.013*\"sourc\"\n", + "2019-01-31 00:16:57,060 : INFO : topic #32 (0.020): 0.076*\"district\" + 0.053*\"vigour\" + 0.045*\"popolo\" + 0.042*\"tortur\" + 0.032*\"regim\" + 0.028*\"multitud\" + 0.024*\"area\" + 0.023*\"cotton\" + 0.020*\"prosper\" + 0.020*\"commun\"\n", + "2019-01-31 00:16:57,061 : INFO : topic #16 (0.020): 0.022*\"priest\" + 0.017*\"quarterli\" + 0.016*\"rotterdam\" + 0.016*\"duke\" + 0.014*\"margin\" + 0.012*\"daughter\" + 0.010*\"maria\" + 0.010*\"snatch\" + 0.009*\"king\" + 0.009*\"sino\"\n", + "2019-01-31 00:16:57,063 : INFO : topic #46 (0.020): 0.021*\"warmth\" + 0.016*\"damag\" + 0.015*\"wind\" + 0.015*\"stop\" + 0.014*\"sk\" + 0.014*\"norwai\" + 0.012*\"norwegian\" + 0.012*\"sweden\" + 0.012*\"farid\" + 0.011*\"swedish\"\n", + "2019-01-31 00:16:57,069 : INFO : topic diff=0.087283, rho=0.140028\n", + "2019-01-31 00:16:57,220 : INFO : PROGRESS: pass 0, at document #104000/4922894\n", + "2019-01-31 00:16:58,708 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:16:58,973 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.028*\"incumb\" + 0.013*\"televis\" + 0.011*\"tajikistan\" + 0.010*\"pakistan\" + 0.009*\"sri\" + 0.008*\"muskoge\" + 0.008*\"singh\" + 0.008*\"khalsa\" + 0.007*\"islam\"\n", + "2019-01-31 00:16:58,975 : INFO : topic #38 (0.020): 0.019*\"king\" + 0.015*\"walter\" + 0.013*\"aza\" + 0.011*\"teufel\" + 0.009*\"till\" + 0.008*\"empath\" + 0.007*\"embassi\" + 0.007*\"battalion\" + 0.007*\"armi\" + 0.007*\"forc\"\n", + "2019-01-31 00:16:58,976 : INFO : topic #12 (0.020): 0.008*\"frontal\" + 0.007*\"number\" + 0.007*\"exampl\" + 0.006*\"mode\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"gener\" + 0.006*\"differ\" + 0.006*\"servitud\" + 0.006*\"théori\"\n", + "2019-01-31 00:16:58,977 : INFO : topic #4 (0.020): 0.026*\"жизнь\" + 0.022*\"enfranchis\" + 0.019*\"automat\" + 0.017*\"mode\" + 0.015*\"candid\" + 0.014*\"depress\" + 0.012*\"pour\" + 0.011*\"pioneer\" + 0.011*\"season\" + 0.009*\"veget\"\n", + "2019-01-31 00:16:58,978 : INFO : topic #43 (0.020): 0.061*\"parti\" + 0.060*\"elect\" + 0.024*\"democrat\" + 0.024*\"voluntari\" + 0.021*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.013*\"bypass\" + 0.013*\"tendenc\"\n", + "2019-01-31 00:16:58,984 : INFO : topic diff=0.087083, rho=0.138675\n", + "2019-01-31 00:16:59,140 : INFO : PROGRESS: pass 0, at document #106000/4922894\n", + "2019-01-31 00:17:00,672 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:00,936 : INFO : topic #34 (0.020): 0.063*\"start\" + 0.036*\"cotton\" + 0.024*\"unionist\" + 0.016*\"california\" + 0.014*\"toni\" + 0.013*\"north\" + 0.013*\"terri\" + 0.013*\"carefulli\" + 0.013*\"violent\" + 0.012*\"american\"\n", + "2019-01-31 00:17:00,938 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"acid\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"includ\"\n", + "2019-01-31 00:17:00,939 : INFO : topic #17 (0.020): 0.049*\"church\" + 0.020*\"retroflex\" + 0.019*\"centuri\" + 0.018*\"jpg\" + 0.018*\"fifteenth\" + 0.018*\"cathol\" + 0.016*\"bishop\" + 0.013*\"italian\" + 0.013*\"christian\" + 0.012*\"sail\"\n", + "2019-01-31 00:17:00,940 : INFO : topic #22 (0.020): 0.031*\"spars\" + 0.030*\"factor\" + 0.028*\"genu\" + 0.021*\"adulthood\" + 0.016*\"hostil\" + 0.016*\"male\" + 0.016*\"feel\" + 0.013*\"popolo\" + 0.011*\"live\" + 0.010*\"plaisir\"\n", + "2019-01-31 00:17:00,942 : INFO : topic #6 (0.020): 0.062*\"fewer\" + 0.021*\"septemb\" + 0.018*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"acrimoni\" + 0.010*\"movi\" + 0.010*\"director\"\n", + "2019-01-31 00:17:00,947 : INFO : topic diff=0.089772, rho=0.137361\n", + "2019-01-31 00:17:01,102 : INFO : PROGRESS: pass 0, at document #108000/4922894\n", + "2019-01-31 00:17:02,637 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:02,901 : INFO : topic #28 (0.020): 0.025*\"build\" + 0.024*\"hous\" + 0.019*\"rivièr\" + 0.015*\"buford\" + 0.011*\"histor\" + 0.010*\"rosenwald\" + 0.010*\"constitut\" + 0.009*\"lobe\" + 0.009*\"briarwood\" + 0.008*\"silicon\"\n", + "2019-01-31 00:17:02,903 : INFO : topic #38 (0.020): 0.017*\"king\" + 0.017*\"walter\" + 0.012*\"aza\" + 0.011*\"teufel\" + 0.009*\"empath\" + 0.008*\"battalion\" + 0.008*\"till\" + 0.007*\"embassi\" + 0.007*\"armi\" + 0.007*\"forc\"\n", + "2019-01-31 00:17:02,904 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.027*\"cortic\" + 0.023*\"act\" + 0.022*\"start\" + 0.015*\"case\" + 0.010*\"ricardo\" + 0.009*\"legal\" + 0.009*\"unionist\" + 0.009*\"polaris\" + 0.008*\"feder\"\n", + "2019-01-31 00:17:02,905 : INFO : topic #35 (0.020): 0.042*\"russia\" + 0.034*\"china\" + 0.028*\"sovereignti\" + 0.027*\"reprint\" + 0.025*\"rural\" + 0.018*\"poison\" + 0.016*\"personifi\" + 0.016*\"unfortun\" + 0.015*\"chilton\" + 0.015*\"malaysia\"\n", + "2019-01-31 00:17:02,906 : INFO : topic #14 (0.020): 0.026*\"forc\" + 0.024*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.016*\"com\" + 0.015*\"militari\" + 0.014*\"unionist\" + 0.012*\"rifl\" + 0.011*\"oper\" + 0.011*\"airbu\"\n", + "2019-01-31 00:17:02,912 : INFO : topic diff=0.081186, rho=0.136083\n", + "2019-01-31 00:17:03,072 : INFO : PROGRESS: pass 0, at document #110000/4922894\n", + "2019-01-31 00:17:04,635 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:04,901 : INFO : topic #38 (0.020): 0.017*\"walter\" + 0.017*\"king\" + 0.011*\"teufel\" + 0.011*\"aza\" + 0.008*\"empath\" + 0.008*\"battalion\" + 0.008*\"till\" + 0.007*\"embassi\" + 0.007*\"armi\" + 0.007*\"forc\"\n", + "2019-01-31 00:17:04,903 : INFO : topic #26 (0.020): 0.035*\"workplac\" + 0.033*\"champion\" + 0.027*\"olymp\" + 0.027*\"woman\" + 0.024*\"medal\" + 0.022*\"event\" + 0.021*\"men\" + 0.019*\"nation\" + 0.019*\"gold\" + 0.018*\"atheist\"\n", + "2019-01-31 00:17:04,904 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.015*\"com\" + 0.015*\"militari\" + 0.014*\"unionist\" + 0.014*\"refut\" + 0.011*\"rifl\" + 0.011*\"oper\"\n", + "2019-01-31 00:17:04,905 : INFO : topic #20 (0.020): 0.120*\"scholar\" + 0.031*\"struggl\" + 0.029*\"educ\" + 0.028*\"high\" + 0.016*\"yawn\" + 0.015*\"collector\" + 0.012*\"prognosi\" + 0.010*\"commun\" + 0.008*\"children\" + 0.008*\"class\"\n", + "2019-01-31 00:17:04,906 : INFO : topic #28 (0.020): 0.025*\"build\" + 0.023*\"hous\" + 0.020*\"rivièr\" + 0.015*\"buford\" + 0.011*\"histor\" + 0.010*\"rosenwald\" + 0.010*\"constitut\" + 0.009*\"lobe\" + 0.009*\"briarwood\" + 0.008*\"silicon\"\n", + "2019-01-31 00:17:04,911 : INFO : topic diff=0.083256, rho=0.134840\n", + "2019-01-31 00:17:05,066 : INFO : PROGRESS: pass 0, at document #112000/4922894\n", + "2019-01-31 00:17:06,597 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:17:06,862 : INFO : topic #19 (0.020): 0.008*\"like\" + 0.008*\"form\" + 0.008*\"woodcut\" + 0.008*\"origin\" + 0.008*\"uruguayan\" + 0.007*\"mean\" + 0.007*\"god\" + 0.007*\"charact\" + 0.006*\"differ\" + 0.006*\"pour\"\n", + "2019-01-31 00:17:06,863 : INFO : topic #32 (0.020): 0.069*\"district\" + 0.052*\"vigour\" + 0.044*\"popolo\" + 0.041*\"tortur\" + 0.035*\"area\" + 0.030*\"regim\" + 0.028*\"multitud\" + 0.022*\"cotton\" + 0.022*\"station\" + 0.020*\"prosper\"\n", + "2019-01-31 00:17:06,864 : INFO : topic #49 (0.020): 0.039*\"india\" + 0.029*\"incumb\" + 0.013*\"tajikistan\" + 0.012*\"sri\" + 0.012*\"televis\" + 0.010*\"pakistan\" + 0.009*\"khalsa\" + 0.008*\"singh\" + 0.008*\"start\" + 0.008*\"lanka\"\n", + "2019-01-31 00:17:06,865 : INFO : topic #29 (0.020): 0.013*\"govern\" + 0.009*\"start\" + 0.009*\"replac\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"nation\" + 0.006*\"million\" + 0.006*\"new\" + 0.006*\"summerhil\" + 0.005*\"théori\"\n", + "2019-01-31 00:17:06,866 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.051*\"arsen\" + 0.040*\"line\" + 0.037*\"raid\" + 0.028*\"museo\" + 0.021*\"word\" + 0.020*\"traceabl\" + 0.020*\"pain\" + 0.019*\"artist\" + 0.017*\"serv\"\n", + "2019-01-31 00:17:06,872 : INFO : topic diff=0.072134, rho=0.133631\n", + "2019-01-31 00:17:07,028 : INFO : PROGRESS: pass 0, at document #114000/4922894\n", + "2019-01-31 00:17:08,568 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:08,833 : INFO : topic #38 (0.020): 0.019*\"king\" + 0.018*\"walter\" + 0.011*\"teufel\" + 0.010*\"aza\" + 0.008*\"battalion\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"embassi\" + 0.006*\"kingdom\"\n", + "2019-01-31 00:17:08,834 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.032*\"champion\" + 0.031*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.023*\"event\" + 0.022*\"medal\" + 0.018*\"atheist\" + 0.018*\"nation\" + 0.018*\"gold\"\n", + "2019-01-31 00:17:08,835 : INFO : topic #28 (0.020): 0.024*\"build\" + 0.024*\"hous\" + 0.023*\"rivièr\" + 0.016*\"buford\" + 0.011*\"histor\" + 0.010*\"constitut\" + 0.009*\"rosenwald\" + 0.009*\"lobe\" + 0.009*\"briarwood\" + 0.008*\"silicon\"\n", + "2019-01-31 00:17:08,836 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.028*\"factor\" + 0.021*\"adulthood\" + 0.021*\"genu\" + 0.016*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.012*\"popolo\" + 0.012*\"live\" + 0.012*\"plaisir\"\n", + "2019-01-31 00:17:08,837 : INFO : topic #13 (0.020): 0.025*\"australia\" + 0.023*\"ireland\" + 0.023*\"sourc\" + 0.022*\"london\" + 0.021*\"australian\" + 0.020*\"england\" + 0.015*\"youth\" + 0.014*\"scotland\" + 0.014*\"weekli\" + 0.014*\"wale\"\n", + "2019-01-31 00:17:08,844 : INFO : topic diff=0.074001, rho=0.132453\n", + "2019-01-31 00:17:09,004 : INFO : PROGRESS: pass 0, at document #116000/4922894\n", + "2019-01-31 00:17:10,572 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:10,836 : INFO : topic #17 (0.020): 0.049*\"church\" + 0.019*\"bishop\" + 0.018*\"centuri\" + 0.018*\"jpg\" + 0.017*\"retroflex\" + 0.017*\"fifteenth\" + 0.017*\"cathol\" + 0.014*\"italian\" + 0.014*\"sail\" + 0.013*\"christian\"\n", + "2019-01-31 00:17:10,838 : INFO : topic #38 (0.020): 0.019*\"king\" + 0.017*\"walter\" + 0.010*\"teufel\" + 0.010*\"aza\" + 0.008*\"battalion\" + 0.008*\"empath\" + 0.008*\"armi\" + 0.007*\"till\" + 0.007*\"embassi\" + 0.007*\"forc\"\n", + "2019-01-31 00:17:10,839 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"disco\" + 0.008*\"acid\" + 0.007*\"media\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"disintegr\" + 0.006*\"activ\"\n", + "2019-01-31 00:17:10,840 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.020*\"adulthood\" + 0.019*\"genu\" + 0.016*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.012*\"popolo\" + 0.012*\"live\" + 0.011*\"plaisir\"\n", + "2019-01-31 00:17:10,841 : INFO : topic #26 (0.020): 0.033*\"woman\" + 0.032*\"workplac\" + 0.031*\"champion\" + 0.026*\"olymp\" + 0.025*\"men\" + 0.024*\"event\" + 0.022*\"medal\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"nation\"\n", + "2019-01-31 00:17:10,847 : INFO : topic diff=0.073465, rho=0.131306\n", + "2019-01-31 00:17:11,002 : INFO : PROGRESS: pass 0, at document #118000/4922894\n", + "2019-01-31 00:17:12,524 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:12,789 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.019*\"will\" + 0.015*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.009*\"rhyme\" + 0.008*\"slur\" + 0.008*\"thirtieth\" + 0.007*\"chandra\"\n", + "2019-01-31 00:17:12,790 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.032*\"leagu\" + 0.027*\"place\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.024*\"taxpay\" + 0.021*\"folei\" + 0.017*\"martin\" + 0.017*\"goal\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:17:12,791 : INFO : topic #37 (0.020): 0.007*\"love\" + 0.005*\"gestur\" + 0.005*\"théori\" + 0.004*\"place\" + 0.004*\"night\" + 0.004*\"litig\" + 0.004*\"man\" + 0.004*\"blue\" + 0.003*\"introductori\" + 0.003*\"appear\"\n", + "2019-01-31 00:17:12,792 : INFO : topic #39 (0.020): 0.041*\"scientist\" + 0.035*\"taxpay\" + 0.024*\"clot\" + 0.024*\"canada\" + 0.019*\"canadian\" + 0.014*\"hoar\" + 0.013*\"basketbal\" + 0.013*\"confer\" + 0.010*\"toronto\" + 0.010*\"place\"\n", + "2019-01-31 00:17:12,794 : INFO : topic #49 (0.020): 0.037*\"india\" + 0.028*\"incumb\" + 0.014*\"tajikistan\" + 0.014*\"televis\" + 0.012*\"sri\" + 0.010*\"pakistan\" + 0.009*\"singh\" + 0.008*\"khalsa\" + 0.008*\"islam\" + 0.008*\"start\"\n", + "2019-01-31 00:17:12,800 : INFO : topic diff=0.069374, rho=0.130189\n", + "2019-01-31 00:17:15,656 : INFO : -11.572 per-word bound, 3045.6 perplexity estimate based on a held-out corpus of 2000 documents with 561550 words\n", + "2019-01-31 00:17:15,657 : INFO : PROGRESS: pass 0, at document #120000/4922894\n", + "2019-01-31 00:17:17,200 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:17,466 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.018*\"record\" + 0.016*\"western\" + 0.016*\"colder\" + 0.016*\"blind\" + 0.011*\"light\" + 0.008*\"depress\" + 0.008*\"green\" + 0.006*\"illicit\" + 0.006*\"arm\"\n", + "2019-01-31 00:17:17,467 : INFO : topic #33 (0.020): 0.053*\"french\" + 0.048*\"franc\" + 0.026*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.012*\"lazi\" + 0.011*\"loui\" + 0.011*\"dish\" + 0.011*\"piec\"\n", + "2019-01-31 00:17:17,468 : INFO : topic #15 (0.020): 0.016*\"requir\" + 0.015*\"develop\" + 0.013*\"small\" + 0.011*\"word\" + 0.010*\"student\" + 0.008*\"socialist\" + 0.008*\"human\" + 0.008*\"cultur\" + 0.008*\"organ\" + 0.008*\"intern\"\n", + "2019-01-31 00:17:17,470 : INFO : topic #27 (0.020): 0.064*\"questionnair\" + 0.018*\"tornado\" + 0.018*\"taxpay\" + 0.012*\"candid\" + 0.012*\"driver\" + 0.012*\"dai\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.011*\"théori\" + 0.011*\"yawn\"\n", + "2019-01-31 00:17:17,471 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.024*\"final\" + 0.020*\"wife\" + 0.019*\"tourist\" + 0.018*\"ret\" + 0.013*\"winner\" + 0.013*\"chamber\" + 0.012*\"taxpay\" + 0.012*\"champion\" + 0.012*\"tiepolo\"\n", + "2019-01-31 00:17:17,477 : INFO : topic diff=0.065374, rho=0.129099\n", + "2019-01-31 00:17:17,631 : INFO : PROGRESS: pass 0, at document #122000/4922894\n", + "2019-01-31 00:17:19,141 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:19,406 : INFO : topic #29 (0.020): 0.013*\"govern\" + 0.009*\"replac\" + 0.009*\"start\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"summerhil\" + 0.006*\"new\" + 0.005*\"théori\"\n", + "2019-01-31 00:17:19,407 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.029*\"rel\" + 0.028*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:17:19,408 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.015*\"lagrang\" + 0.014*\"area\" + 0.014*\"warmth\" + 0.014*\"mount\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"palmer\" + 0.007*\"robespierr\"\n", + "2019-01-31 00:17:19,410 : INFO : topic #20 (0.020): 0.122*\"scholar\" + 0.033*\"struggl\" + 0.028*\"educ\" + 0.027*\"high\" + 0.016*\"yawn\" + 0.014*\"collector\" + 0.012*\"prognosi\" + 0.010*\"commun\" + 0.010*\"children\" + 0.008*\"second\"\n", + "2019-01-31 00:17:19,411 : INFO : topic #17 (0.020): 0.054*\"church\" + 0.018*\"centuri\" + 0.018*\"bishop\" + 0.017*\"cathol\" + 0.016*\"jpg\" + 0.016*\"retroflex\" + 0.016*\"fifteenth\" + 0.014*\"italian\" + 0.014*\"christian\" + 0.014*\"sail\"\n", + "2019-01-31 00:17:19,417 : INFO : topic diff=0.066877, rho=0.128037\n", + "2019-01-31 00:17:19,570 : INFO : PROGRESS: pass 0, at document #124000/4922894\n", + "2019-01-31 00:17:21,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:17:21,352 : INFO : topic #41 (0.020): 0.047*\"citi\" + 0.038*\"new\" + 0.023*\"year\" + 0.022*\"palmer\" + 0.021*\"center\" + 0.019*\"strategist\" + 0.010*\"open\" + 0.009*\"hot\" + 0.009*\"includ\" + 0.008*\"lobe\"\n", + "2019-01-31 00:17:21,353 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.023*\"london\" + 0.023*\"england\" + 0.023*\"sourc\" + 0.022*\"ireland\" + 0.021*\"australian\" + 0.014*\"wale\" + 0.014*\"youth\" + 0.014*\"north\" + 0.014*\"new\"\n", + "2019-01-31 00:17:21,355 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.017*\"record\" + 0.015*\"colder\" + 0.015*\"western\" + 0.015*\"blind\" + 0.011*\"light\" + 0.008*\"green\" + 0.007*\"depress\" + 0.006*\"illicit\" + 0.006*\"wors\"\n", + "2019-01-31 00:17:21,355 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.030*\"collector\" + 0.015*\"institut\" + 0.013*\"student\" + 0.012*\"american\" + 0.012*\"professor\" + 0.012*\"schuster\" + 0.012*\"governor\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:17:21,357 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.028*\"incumb\" + 0.012*\"televis\" + 0.012*\"sri\" + 0.012*\"tajikistan\" + 0.010*\"pakistan\" + 0.009*\"singh\" + 0.008*\"start\" + 0.008*\"khalsa\" + 0.008*\"islam\"\n", + "2019-01-31 00:17:21,363 : INFO : topic diff=0.067341, rho=0.127000\n", + "2019-01-31 00:17:21,519 : INFO : PROGRESS: pass 0, at document #126000/4922894\n", + "2019-01-31 00:17:23,043 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:23,308 : INFO : topic #32 (0.020): 0.066*\"district\" + 0.050*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.035*\"area\" + 0.030*\"regim\" + 0.027*\"multitud\" + 0.024*\"cotton\" + 0.019*\"prosper\" + 0.018*\"citi\"\n", + "2019-01-31 00:17:23,309 : INFO : topic #28 (0.020): 0.025*\"build\" + 0.023*\"hous\" + 0.021*\"rivièr\" + 0.016*\"buford\" + 0.012*\"histor\" + 0.010*\"constitut\" + 0.010*\"briarwood\" + 0.010*\"lobe\" + 0.009*\"rosenwald\" + 0.009*\"silicon\"\n", + "2019-01-31 00:17:23,310 : INFO : topic #15 (0.020): 0.016*\"requir\" + 0.014*\"develop\" + 0.013*\"small\" + 0.011*\"word\" + 0.010*\"student\" + 0.009*\"socialist\" + 0.009*\"cultur\" + 0.008*\"organ\" + 0.008*\"human\" + 0.008*\"commun\"\n", + "2019-01-31 00:17:23,311 : INFO : topic #14 (0.020): 0.025*\"walter\" + 0.022*\"forc\" + 0.021*\"armi\" + 0.021*\"aggress\" + 0.016*\"com\" + 0.016*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"oper\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:17:23,312 : INFO : topic #16 (0.020): 0.027*\"priest\" + 0.017*\"duke\" + 0.016*\"rotterdam\" + 0.015*\"quarterli\" + 0.013*\"margin\" + 0.011*\"king\" + 0.011*\"maria\" + 0.010*\"count\" + 0.010*\"princ\" + 0.010*\"order\"\n", + "2019-01-31 00:17:23,318 : INFO : topic diff=0.065059, rho=0.125988\n", + "2019-01-31 00:17:23,531 : INFO : PROGRESS: pass 0, at document #128000/4922894\n", + "2019-01-31 00:17:25,059 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:25,324 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.027*\"factor\" + 0.022*\"adulthood\" + 0.017*\"feel\" + 0.016*\"hostil\" + 0.015*\"male\" + 0.015*\"genu\" + 0.012*\"popolo\" + 0.012*\"live\" + 0.011*\"plaisir\"\n", + "2019-01-31 00:17:25,325 : INFO : topic #20 (0.020): 0.120*\"scholar\" + 0.034*\"struggl\" + 0.028*\"high\" + 0.027*\"educ\" + 0.016*\"yawn\" + 0.014*\"collector\" + 0.013*\"prognosi\" + 0.009*\"commun\" + 0.009*\"children\" + 0.008*\"class\"\n", + "2019-01-31 00:17:25,327 : INFO : topic #31 (0.020): 0.071*\"fusiform\" + 0.027*\"player\" + 0.021*\"place\" + 0.015*\"scientist\" + 0.013*\"taxpay\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.010*\"folei\" + 0.009*\"barber\" + 0.008*\"schmitz\"\n", + "2019-01-31 00:17:25,328 : INFO : topic #33 (0.020): 0.052*\"french\" + 0.048*\"franc\" + 0.027*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"focal\" + 0.013*\"lazi\" + 0.011*\"convei\" + 0.011*\"wine\"\n", + "2019-01-31 00:17:25,329 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.009*\"disco\" + 0.007*\"acid\" + 0.007*\"pathwai\" + 0.007*\"media\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"activ\"\n", + "2019-01-31 00:17:25,335 : INFO : topic diff=0.060318, rho=0.125000\n", + "2019-01-31 00:17:25,492 : INFO : PROGRESS: pass 0, at document #130000/4922894\n", + "2019-01-31 00:17:27,028 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:27,293 : INFO : topic #1 (0.020): 0.035*\"chilton\" + 0.034*\"hong\" + 0.034*\"kong\" + 0.026*\"china\" + 0.022*\"leah\" + 0.020*\"kim\" + 0.018*\"korean\" + 0.018*\"korea\" + 0.012*\"sourc\" + 0.012*\"han\"\n", + "2019-01-31 00:17:27,294 : INFO : topic #31 (0.020): 0.073*\"fusiform\" + 0.029*\"player\" + 0.022*\"place\" + 0.015*\"scientist\" + 0.013*\"taxpay\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.010*\"folei\" + 0.009*\"barber\" + 0.008*\"schmitz\"\n", + "2019-01-31 00:17:27,295 : INFO : topic #37 (0.020): 0.007*\"love\" + 0.005*\"gestur\" + 0.004*\"night\" + 0.004*\"théori\" + 0.004*\"introductori\" + 0.004*\"blue\" + 0.004*\"litig\" + 0.004*\"place\" + 0.004*\"man\" + 0.004*\"misconcept\"\n", + "2019-01-31 00:17:27,296 : INFO : topic #16 (0.020): 0.028*\"priest\" + 0.017*\"quarterli\" + 0.016*\"duke\" + 0.016*\"rotterdam\" + 0.013*\"margin\" + 0.012*\"king\" + 0.012*\"princ\" + 0.011*\"maria\" + 0.011*\"grammat\" + 0.010*\"count\"\n", + "2019-01-31 00:17:27,298 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"taxpay\" + 0.017*\"tornado\" + 0.015*\"horac\" + 0.012*\"find\" + 0.012*\"candid\" + 0.011*\"squatter\" + 0.011*\"driver\" + 0.010*\"yawn\" + 0.010*\"théori\"\n", + "2019-01-31 00:17:27,304 : INFO : topic diff=0.059915, rho=0.124035\n", + "2019-01-31 00:17:27,457 : INFO : PROGRESS: pass 0, at document #132000/4922894\n", + "2019-01-31 00:17:28,978 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:29,243 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"walter\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.017*\"unionist\" + 0.016*\"com\" + 0.012*\"militari\" + 0.012*\"oper\" + 0.011*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:17:29,244 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"cytokin\" + 0.006*\"turn\"\n", + "2019-01-31 00:17:29,245 : INFO : topic #48 (0.020): 0.077*\"januari\" + 0.072*\"sens\" + 0.070*\"march\" + 0.070*\"octob\" + 0.067*\"august\" + 0.066*\"juli\" + 0.063*\"notion\" + 0.063*\"april\" + 0.060*\"judici\" + 0.060*\"decatur\"\n", + "2019-01-31 00:17:29,246 : INFO : topic #4 (0.020): 0.028*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"candid\" + 0.014*\"pour\" + 0.013*\"mode\" + 0.012*\"veget\" + 0.011*\"elabor\" + 0.009*\"spectacl\" + 0.008*\"mandir\" + 0.007*\"produc\"\n", + "2019-01-31 00:17:29,248 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.020*\"taxpay\" + 0.017*\"tornado\" + 0.015*\"horac\" + 0.012*\"find\" + 0.011*\"candid\" + 0.011*\"squatter\" + 0.011*\"théori\" + 0.010*\"driver\" + 0.010*\"yawn\"\n", + "2019-01-31 00:17:29,254 : INFO : topic diff=0.057532, rho=0.123091\n", + "2019-01-31 00:17:29,408 : INFO : PROGRESS: pass 0, at document #134000/4922894\n", + "2019-01-31 00:17:30,890 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:31,156 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.020*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"lizard\" + 0.011*\"francisco\" + 0.010*\"latin\" + 0.010*\"carlo\"\n", + "2019-01-31 00:17:31,156 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.045*\"arsen\" + 0.039*\"line\" + 0.036*\"raid\" + 0.030*\"museo\" + 0.024*\"traceabl\" + 0.019*\"word\" + 0.018*\"pain\" + 0.018*\"artist\" + 0.016*\"exhaust\"\n", + "2019-01-31 00:17:31,158 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.025*\"democrat\" + 0.024*\"member\" + 0.016*\"republ\" + 0.016*\"polici\" + 0.015*\"seaport\" + 0.015*\"tendenc\" + 0.014*\"bypass\"\n", + "2019-01-31 00:17:31,159 : INFO : topic #32 (0.020): 0.067*\"district\" + 0.049*\"vigour\" + 0.043*\"popolo\" + 0.040*\"tortur\" + 0.033*\"area\" + 0.029*\"regim\" + 0.028*\"multitud\" + 0.024*\"cotton\" + 0.020*\"earthworm\" + 0.020*\"north\"\n", + "2019-01-31 00:17:31,160 : INFO : topic #8 (0.020): 0.031*\"law\" + 0.027*\"cortic\" + 0.027*\"act\" + 0.021*\"start\" + 0.014*\"case\" + 0.014*\"ricardo\" + 0.011*\"polaris\" + 0.010*\"legal\" + 0.009*\"unionist\" + 0.007*\"feder\"\n", + "2019-01-31 00:17:31,166 : INFO : topic diff=0.058482, rho=0.122169\n", + "2019-01-31 00:17:31,319 : INFO : PROGRESS: pass 0, at document #136000/4922894\n", + "2019-01-31 00:17:32,830 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:33,096 : INFO : topic #42 (0.020): 0.035*\"german\" + 0.024*\"germani\" + 0.015*\"greek\" + 0.011*\"vol\" + 0.011*\"der\" + 0.010*\"israel\" + 0.010*\"berlin\" + 0.010*\"jewish\" + 0.007*\"anglo\" + 0.007*\"europ\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:17:33,097 : INFO : topic #37 (0.020): 0.007*\"love\" + 0.006*\"gestur\" + 0.005*\"night\" + 0.004*\"blue\" + 0.004*\"litig\" + 0.004*\"théori\" + 0.004*\"misconcept\" + 0.004*\"man\" + 0.004*\"place\" + 0.004*\"introductori\"\n", + "2019-01-31 00:17:33,098 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"southern\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"cytokin\" + 0.006*\"servitud\" + 0.006*\"differ\"\n", + "2019-01-31 00:17:33,099 : INFO : topic #44 (0.020): 0.036*\"rooftop\" + 0.026*\"final\" + 0.021*\"wife\" + 0.019*\"tourist\" + 0.016*\"ret\" + 0.014*\"chamber\" + 0.013*\"champion\" + 0.013*\"winner\" + 0.013*\"tiepolo\" + 0.011*\"taxpay\"\n", + "2019-01-31 00:17:33,100 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.016*\"record\" + 0.016*\"colder\" + 0.015*\"western\" + 0.014*\"acacia\" + 0.013*\"blind\" + 0.010*\"light\" + 0.008*\"green\" + 0.007*\"depress\" + 0.006*\"hand\"\n", + "2019-01-31 00:17:33,106 : INFO : topic diff=0.057041, rho=0.121268\n", + "2019-01-31 00:17:33,261 : INFO : PROGRESS: pass 0, at document #138000/4922894\n", + "2019-01-31 00:17:34,778 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:35,043 : INFO : topic #29 (0.020): 0.013*\"govern\" + 0.010*\"start\" + 0.010*\"replac\" + 0.008*\"countri\" + 0.007*\"yawn\" + 0.006*\"nation\" + 0.006*\"summerhil\" + 0.006*\"million\" + 0.006*\"new\" + 0.005*\"théori\"\n", + "2019-01-31 00:17:35,044 : INFO : topic #20 (0.020): 0.121*\"scholar\" + 0.034*\"struggl\" + 0.028*\"high\" + 0.027*\"educ\" + 0.016*\"yawn\" + 0.015*\"collector\" + 0.013*\"prognosi\" + 0.009*\"commun\" + 0.008*\"class\" + 0.008*\"children\"\n", + "2019-01-31 00:17:35,045 : INFO : topic #19 (0.020): 0.009*\"form\" + 0.009*\"like\" + 0.008*\"origin\" + 0.008*\"woodcut\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.006*\"differ\" + 0.006*\"god\" + 0.006*\"pour\"\n", + "2019-01-31 00:17:35,047 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.026*\"taxpay\" + 0.025*\"crete\" + 0.023*\"scientist\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:17:35,048 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.016*\"record\" + 0.016*\"colder\" + 0.015*\"western\" + 0.013*\"acacia\" + 0.012*\"blind\" + 0.010*\"light\" + 0.008*\"green\" + 0.007*\"depress\" + 0.006*\"hand\"\n", + "2019-01-31 00:17:35,054 : INFO : topic diff=0.053944, rho=0.120386\n", + "2019-01-31 00:17:37,801 : INFO : -11.718 per-word bound, 3368.9 perplexity estimate based on a held-out corpus of 2000 documents with 535236 words\n", + "2019-01-31 00:17:37,801 : INFO : PROGRESS: pass 0, at document #140000/4922894\n", + "2019-01-31 00:17:39,284 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:39,549 : INFO : topic #7 (0.020): 0.019*\"snatch\" + 0.016*\"di\" + 0.016*\"factor\" + 0.014*\"bang\" + 0.012*\"yawn\" + 0.012*\"john\" + 0.011*\"margin\" + 0.011*\"will\" + 0.010*\"faster\" + 0.010*\"locri\"\n", + "2019-01-31 00:17:39,551 : INFO : topic #36 (0.020): 0.027*\"companhia\" + 0.010*\"serv\" + 0.009*\"develop\" + 0.009*\"bank\" + 0.009*\"market\" + 0.009*\"busi\" + 0.009*\"oper\" + 0.008*\"produc\" + 0.008*\"manag\" + 0.008*\"network\"\n", + "2019-01-31 00:17:39,552 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.033*\"turin\" + 0.026*\"china\" + 0.025*\"reprint\" + 0.025*\"sovereignti\" + 0.023*\"rural\" + 0.019*\"personifi\" + 0.017*\"poison\" + 0.016*\"unfortun\" + 0.015*\"moscow\"\n", + "2019-01-31 00:17:39,554 : INFO : topic #38 (0.020): 0.018*\"walter\" + 0.016*\"king\" + 0.011*\"aza\" + 0.009*\"teufel\" + 0.008*\"battalion\" + 0.007*\"till\" + 0.007*\"forc\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"embassi\"\n", + "2019-01-31 00:17:39,555 : INFO : topic #9 (0.020): 0.082*\"bone\" + 0.041*\"american\" + 0.020*\"valour\" + 0.015*\"dutch\" + 0.015*\"player\" + 0.014*\"folei\" + 0.013*\"polit\" + 0.013*\"english\" + 0.012*\"simpler\" + 0.010*\"surnam\"\n", + "2019-01-31 00:17:39,561 : INFO : topic diff=0.053215, rho=0.119523\n", + "2019-01-31 00:17:39,719 : INFO : PROGRESS: pass 0, at document #142000/4922894\n", + "2019-01-31 00:17:41,240 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:41,506 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.025*\"factor\" + 0.022*\"adulthood\" + 0.017*\"feel\" + 0.016*\"hostil\" + 0.016*\"male\" + 0.013*\"genu\" + 0.012*\"popolo\" + 0.012*\"live\" + 0.010*\"yawn\"\n", + "2019-01-31 00:17:41,507 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"kill\" + 0.006*\"later\" + 0.006*\"man\" + 0.005*\"deal\" + 0.005*\"sack\" + 0.005*\"retrospect\" + 0.004*\"fraud\" + 0.004*\"life\" + 0.004*\"dai\"\n", + "2019-01-31 00:17:41,509 : INFO : topic #26 (0.020): 0.034*\"workplac\" + 0.032*\"woman\" + 0.032*\"champion\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.025*\"medal\" + 0.023*\"event\" + 0.018*\"rainfal\" + 0.018*\"atheist\" + 0.017*\"théori\"\n", + "2019-01-31 00:17:41,509 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.015*\"unionist\" + 0.012*\"militari\" + 0.012*\"oper\" + 0.010*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 00:17:41,510 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.047*\"arsen\" + 0.041*\"line\" + 0.036*\"raid\" + 0.030*\"museo\" + 0.023*\"traceabl\" + 0.019*\"word\" + 0.019*\"artist\" + 0.018*\"pain\" + 0.016*\"serv\"\n", + "2019-01-31 00:17:41,516 : INFO : topic diff=0.050616, rho=0.118678\n", + "2019-01-31 00:17:41,673 : INFO : PROGRESS: pass 0, at document #144000/4922894\n", + "2019-01-31 00:17:43,198 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:43,464 : INFO : topic #6 (0.020): 0.066*\"fewer\" + 0.027*\"septemb\" + 0.021*\"epiru\" + 0.017*\"teacher\" + 0.016*\"stake\" + 0.013*\"pop\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"acrimoni\" + 0.010*\"direct\"\n", + "2019-01-31 00:17:43,466 : INFO : topic #46 (0.020): 0.022*\"damag\" + 0.018*\"stop\" + 0.018*\"wind\" + 0.015*\"treeless\" + 0.012*\"sweden\" + 0.012*\"norwai\" + 0.012*\"utc\" + 0.011*\"huntsvil\" + 0.011*\"swedish\" + 0.010*\"warmth\"\n", + "2019-01-31 00:17:43,467 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.006*\"gestur\" + 0.005*\"night\" + 0.004*\"litig\" + 0.004*\"blue\" + 0.004*\"man\" + 0.004*\"théori\" + 0.004*\"introductori\" + 0.004*\"misconcept\" + 0.003*\"bewild\"\n", + "2019-01-31 00:17:43,468 : INFO : topic #15 (0.020): 0.015*\"requir\" + 0.014*\"develop\" + 0.013*\"small\" + 0.011*\"word\" + 0.010*\"student\" + 0.009*\"human\" + 0.009*\"socialist\" + 0.008*\"commun\" + 0.008*\"cultur\" + 0.008*\"organ\"\n", + "2019-01-31 00:17:43,469 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.018*\"will\" + 0.014*\"jame\" + 0.012*\"georg\" + 0.012*\"rival\" + 0.011*\"david\" + 0.009*\"rhyme\" + 0.008*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"thirtieth\"\n", + "2019-01-31 00:17:43,475 : INFO : topic diff=0.053246, rho=0.117851\n", + "2019-01-31 00:17:43,634 : INFO : PROGRESS: pass 0, at document #146000/4922894\n", + "2019-01-31 00:17:45,169 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:45,434 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.026*\"taxpay\" + 0.025*\"crete\" + 0.023*\"scientist\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:17:45,436 : INFO : topic #38 (0.020): 0.018*\"walter\" + 0.015*\"king\" + 0.013*\"aza\" + 0.011*\"teufel\" + 0.008*\"till\" + 0.008*\"battalion\" + 0.008*\"empath\" + 0.007*\"embassi\" + 0.007*\"armi\" + 0.007*\"forc\"\n", + "2019-01-31 00:17:45,437 : INFO : topic #28 (0.020): 0.027*\"hous\" + 0.026*\"build\" + 0.019*\"rivièr\" + 0.016*\"buford\" + 0.011*\"histor\" + 0.010*\"constitut\" + 0.010*\"hale\" + 0.010*\"briarwood\" + 0.010*\"rosenwald\" + 0.009*\"silicon\"\n", + "2019-01-31 00:17:45,437 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.047*\"arsen\" + 0.040*\"line\" + 0.034*\"raid\" + 0.031*\"museo\" + 0.022*\"traceabl\" + 0.019*\"word\" + 0.019*\"pain\" + 0.018*\"artist\" + 0.016*\"serv\"\n", + "2019-01-31 00:17:45,439 : INFO : topic #47 (0.020): 0.073*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"damn\" + 0.018*\"compos\" + 0.017*\"place\" + 0.014*\"jack\" + 0.014*\"orchestr\" + 0.014*\"theater\" + 0.013*\"physician\" + 0.013*\"olympo\"\n", + "2019-01-31 00:17:45,445 : INFO : topic diff=0.049351, rho=0.117041\n", + "2019-01-31 00:17:45,600 : INFO : PROGRESS: pass 0, at document #148000/4922894\n", + "2019-01-31 00:17:47,108 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:47,373 : INFO : topic #39 (0.020): 0.035*\"taxpay\" + 0.033*\"scientist\" + 0.026*\"canada\" + 0.024*\"clot\" + 0.021*\"canadian\" + 0.015*\"basketbal\" + 0.013*\"hoar\" + 0.013*\"confer\" + 0.011*\"toronto\" + 0.011*\"ontario\"\n", + "2019-01-31 00:17:47,374 : INFO : topic #46 (0.020): 0.021*\"damag\" + 0.018*\"stop\" + 0.017*\"wind\" + 0.014*\"treeless\" + 0.013*\"sweden\" + 0.013*\"norwai\" + 0.011*\"huntsvil\" + 0.011*\"swedish\" + 0.010*\"norwegian\" + 0.010*\"utc\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:17:47,376 : INFO : topic #15 (0.020): 0.015*\"requir\" + 0.013*\"develop\" + 0.012*\"small\" + 0.011*\"word\" + 0.010*\"student\" + 0.010*\"human\" + 0.009*\"socialist\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.008*\"organ\"\n", + "2019-01-31 00:17:47,377 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.057*\"parti\" + 0.026*\"voluntari\" + 0.022*\"member\" + 0.022*\"democrat\" + 0.016*\"polici\" + 0.016*\"tendenc\" + 0.014*\"republ\" + 0.014*\"seaport\" + 0.014*\"bypass\"\n", + "2019-01-31 00:17:47,378 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.006*\"southern\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.005*\"differ\" + 0.005*\"utopian\"\n", + "2019-01-31 00:17:47,384 : INFO : topic diff=0.051028, rho=0.116248\n", + "2019-01-31 00:17:47,541 : INFO : PROGRESS: pass 0, at document #150000/4922894\n", + "2019-01-31 00:17:49,060 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:49,326 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.026*\"factor\" + 0.023*\"adulthood\" + 0.018*\"hostil\" + 0.017*\"feel\" + 0.016*\"male\" + 0.013*\"genu\" + 0.012*\"live\" + 0.012*\"popolo\" + 0.010*\"yawn\"\n", + "2019-01-31 00:17:49,327 : INFO : topic #15 (0.020): 0.015*\"requir\" + 0.013*\"develop\" + 0.012*\"small\" + 0.010*\"word\" + 0.010*\"cultur\" + 0.010*\"student\" + 0.010*\"human\" + 0.009*\"socialist\" + 0.009*\"commun\" + 0.008*\"group\"\n", + "2019-01-31 00:17:49,328 : INFO : topic #8 (0.020): 0.030*\"law\" + 0.026*\"cortic\" + 0.022*\"act\" + 0.021*\"start\" + 0.015*\"ricardo\" + 0.015*\"case\" + 0.011*\"polaris\" + 0.010*\"legal\" + 0.009*\"unionist\" + 0.008*\"feder\"\n", + "2019-01-31 00:17:49,329 : INFO : topic #33 (0.020): 0.054*\"french\" + 0.045*\"franc\" + 0.028*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.017*\"focal\" + 0.015*\"lazi\" + 0.012*\"piec\" + 0.011*\"loui\"\n", + "2019-01-31 00:17:49,330 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.025*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:17:49,336 : INFO : topic diff=0.050762, rho=0.115470\n", + "2019-01-31 00:17:49,488 : INFO : PROGRESS: pass 0, at document #152000/4922894\n", + "2019-01-31 00:17:50,969 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:51,234 : INFO : topic #39 (0.020): 0.036*\"taxpay\" + 0.031*\"scientist\" + 0.026*\"canada\" + 0.024*\"clot\" + 0.022*\"canadian\" + 0.015*\"basketbal\" + 0.014*\"hoar\" + 0.012*\"confer\" + 0.011*\"ontario\" + 0.011*\"toronto\"\n", + "2019-01-31 00:17:51,235 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.040*\"cotton\" + 0.030*\"unionist\" + 0.018*\"american\" + 0.014*\"terri\" + 0.013*\"california\" + 0.013*\"north\" + 0.012*\"new\" + 0.012*\"toni\" + 0.011*\"violent\"\n", + "2019-01-31 00:17:51,237 : INFO : topic #45 (0.020): 0.018*\"black\" + 0.016*\"colder\" + 0.016*\"western\" + 0.014*\"record\" + 0.011*\"blind\" + 0.011*\"light\" + 0.008*\"green\" + 0.007*\"depress\" + 0.007*\"illicit\" + 0.007*\"hade\"\n", + "2019-01-31 00:17:51,238 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.046*\"arsen\" + 0.040*\"line\" + 0.033*\"raid\" + 0.030*\"museo\" + 0.021*\"traceabl\" + 0.020*\"pain\" + 0.019*\"word\" + 0.018*\"artist\" + 0.016*\"exhaust\"\n", + "2019-01-31 00:17:51,239 : INFO : topic #30 (0.020): 0.040*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.028*\"crete\" + 0.026*\"taxpay\" + 0.023*\"scientist\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:17:51,245 : INFO : topic diff=0.049907, rho=0.114708\n", + "2019-01-31 00:17:51,400 : INFO : PROGRESS: pass 0, at document #154000/4922894\n", + "2019-01-31 00:17:52,909 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:53,174 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.006*\"gestur\" + 0.005*\"night\" + 0.005*\"man\" + 0.004*\"christma\" + 0.004*\"litig\" + 0.004*\"blue\" + 0.004*\"théori\" + 0.004*\"introductori\" + 0.004*\"place\"\n", + "2019-01-31 00:17:53,175 : INFO : topic #41 (0.020): 0.047*\"citi\" + 0.039*\"new\" + 0.023*\"palmer\" + 0.022*\"year\" + 0.019*\"center\" + 0.015*\"strategist\" + 0.010*\"open\" + 0.009*\"hot\" + 0.009*\"includ\" + 0.009*\"lobe\"\n", + "2019-01-31 00:17:53,176 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.006*\"later\" + 0.006*\"kill\" + 0.006*\"man\" + 0.005*\"sack\" + 0.005*\"deal\" + 0.005*\"retrospect\" + 0.004*\"dai\" + 0.004*\"fraud\" + 0.004*\"life\"\n", + "2019-01-31 00:17:53,177 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.040*\"cotton\" + 0.030*\"unionist\" + 0.018*\"american\" + 0.014*\"terri\" + 0.014*\"california\" + 0.012*\"north\" + 0.012*\"toni\" + 0.012*\"new\" + 0.011*\"violent\"\n", + "2019-01-31 00:17:53,179 : INFO : topic #46 (0.020): 0.019*\"damag\" + 0.018*\"stop\" + 0.016*\"wind\" + 0.014*\"sweden\" + 0.014*\"norwai\" + 0.013*\"swedish\" + 0.011*\"treeless\" + 0.011*\"danish\" + 0.011*\"norwegian\" + 0.010*\"denmark\"\n", + "2019-01-31 00:17:53,185 : INFO : topic diff=0.046475, rho=0.113961\n", + "2019-01-31 00:17:53,338 : INFO : PROGRESS: pass 0, at document #156000/4922894\n", + "2019-01-31 00:17:54,834 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:55,100 : INFO : topic #20 (0.020): 0.123*\"scholar\" + 0.034*\"struggl\" + 0.030*\"high\" + 0.028*\"educ\" + 0.017*\"yawn\" + 0.014*\"collector\" + 0.012*\"prognosi\" + 0.009*\"commun\" + 0.008*\"task\" + 0.008*\"children\"\n", + "2019-01-31 00:17:55,101 : INFO : topic #2 (0.020): 0.044*\"isl\" + 0.041*\"shield\" + 0.020*\"narrat\" + 0.015*\"pope\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.010*\"coalit\" + 0.010*\"crew\" + 0.010*\"class\"\n", + "2019-01-31 00:17:55,103 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.028*\"factor\" + 0.023*\"adulthood\" + 0.018*\"hostil\" + 0.017*\"feel\" + 0.015*\"male\" + 0.012*\"genu\" + 0.012*\"popolo\" + 0.012*\"live\" + 0.010*\"yawn\"\n", + "2019-01-31 00:17:55,104 : INFO : topic #45 (0.020): 0.018*\"black\" + 0.017*\"colder\" + 0.016*\"record\" + 0.016*\"western\" + 0.011*\"blind\" + 0.010*\"light\" + 0.008*\"green\" + 0.007*\"depress\" + 0.007*\"illicit\" + 0.006*\"hand\"\n", + "2019-01-31 00:17:55,105 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.031*\"publicis\" + 0.020*\"word\" + 0.014*\"new\" + 0.014*\"edit\" + 0.012*\"worldwid\" + 0.011*\"storag\" + 0.011*\"presid\" + 0.011*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 00:17:55,111 : INFO : topic diff=0.046562, rho=0.113228\n", + "2019-01-31 00:17:55,323 : INFO : PROGRESS: pass 0, at document #158000/4922894\n", + "2019-01-31 00:17:56,815 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:17:57,081 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.024*\"final\" + 0.022*\"wife\" + 0.018*\"tourist\" + 0.014*\"tiepolo\" + 0.013*\"taxpay\" + 0.013*\"champion\" + 0.013*\"chamber\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 00:17:57,082 : INFO : topic #11 (0.020): 0.030*\"john\" + 0.018*\"will\" + 0.014*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.009*\"slur\" + 0.009*\"rhyme\" + 0.008*\"thirtieth\" + 0.008*\"mexican–american\"\n", + "2019-01-31 00:17:57,084 : INFO : topic #26 (0.020): 0.035*\"workplac\" + 0.034*\"champion\" + 0.032*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.022*\"event\" + 0.017*\"atheist\" + 0.017*\"théori\" + 0.017*\"taxpay\"\n", + "2019-01-31 00:17:57,085 : INFO : topic #36 (0.020): 0.027*\"companhia\" + 0.010*\"serv\" + 0.009*\"develop\" + 0.009*\"oper\" + 0.009*\"network\" + 0.009*\"manag\" + 0.009*\"market\" + 0.009*\"busi\" + 0.008*\"produc\" + 0.008*\"prognosi\"\n", + "2019-01-31 00:17:57,086 : INFO : topic #39 (0.020): 0.035*\"taxpay\" + 0.031*\"scientist\" + 0.028*\"canada\" + 0.023*\"canadian\" + 0.022*\"clot\" + 0.014*\"basketbal\" + 0.013*\"hoar\" + 0.013*\"ontario\" + 0.012*\"confer\" + 0.011*\"head\"\n", + "2019-01-31 00:17:57,092 : INFO : topic diff=0.047035, rho=0.112509\n", + "2019-01-31 00:17:59,843 : INFO : -11.752 per-word bound, 3448.6 perplexity estimate based on a held-out corpus of 2000 documents with 534019 words\n", + "2019-01-31 00:17:59,843 : INFO : PROGRESS: pass 0, at document #160000/4922894\n", + "2019-01-31 00:18:01,318 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:01,583 : INFO : topic #11 (0.020): 0.030*\"john\" + 0.018*\"will\" + 0.014*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.009*\"slur\" + 0.009*\"rhyme\" + 0.008*\"thirtieth\" + 0.008*\"mexican–american\"\n", + "2019-01-31 00:18:01,584 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.025*\"sourc\" + 0.024*\"london\" + 0.022*\"australian\" + 0.020*\"england\" + 0.020*\"ireland\" + 0.018*\"new\" + 0.016*\"wale\" + 0.015*\"youth\" + 0.013*\"north\"\n", + "2019-01-31 00:18:01,585 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"turn\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"uruguayan\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"southern\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:18:01,586 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.020*\"del\" + 0.019*\"soviet\" + 0.017*\"mexico\" + 0.012*\"juan\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"josé\" + 0.010*\"carlo\"\n", + "2019-01-31 00:18:01,587 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.043*\"franc\" + 0.033*\"jean\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.017*\"daphn\" + 0.016*\"piec\" + 0.014*\"focal\" + 0.013*\"lazi\" + 0.012*\"loui\"\n", + "2019-01-31 00:18:01,593 : INFO : topic diff=0.045646, rho=0.111803\n", + "2019-01-31 00:18:01,749 : INFO : PROGRESS: pass 0, at document #162000/4922894\n", + "2019-01-31 00:18:03,246 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:03,511 : INFO : topic #28 (0.020): 0.027*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.016*\"buford\" + 0.011*\"rosenwald\" + 0.011*\"histor\" + 0.010*\"constitut\" + 0.009*\"silicon\" + 0.009*\"briarwood\" + 0.009*\"lobe\"\n", + "2019-01-31 00:18:03,513 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.040*\"american\" + 0.025*\"valour\" + 0.018*\"folei\" + 0.017*\"dutch\" + 0.016*\"player\" + 0.014*\"polit\" + 0.013*\"english\" + 0.010*\"simpler\" + 0.009*\"surnam\"\n", + "2019-01-31 00:18:03,514 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.024*\"final\" + 0.023*\"wife\" + 0.019*\"tourist\" + 0.015*\"champion\" + 0.015*\"open\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"winner\" + 0.013*\"taxpay\"\n", + "2019-01-31 00:18:03,515 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"turn\" + 0.006*\"gener\" + 0.006*\"uruguayan\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"utopian\"\n", + "2019-01-31 00:18:03,517 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.016*\"lagrang\" + 0.015*\"warmth\" + 0.014*\"area\" + 0.014*\"mount\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"palmer\" + 0.007*\"near\" + 0.007*\"firm\"\n", + "2019-01-31 00:18:03,522 : INFO : topic diff=0.043966, rho=0.111111\n", + "2019-01-31 00:18:03,673 : INFO : PROGRESS: pass 0, at document #164000/4922894\n", + "2019-01-31 00:18:05,155 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:05,421 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.039*\"american\" + 0.026*\"valour\" + 0.017*\"folei\" + 0.017*\"dutch\" + 0.015*\"player\" + 0.014*\"polit\" + 0.013*\"english\" + 0.010*\"simpler\" + 0.009*\"acrimoni\"\n", + "2019-01-31 00:18:05,423 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.026*\"crete\" + 0.025*\"taxpay\" + 0.022*\"scientist\" + 0.021*\"folei\" + 0.016*\"martin\" + 0.016*\"goal\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:18:05,424 : INFO : topic #1 (0.020): 0.055*\"chilton\" + 0.045*\"china\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.023*\"korea\" + 0.019*\"korean\" + 0.018*\"kim\" + 0.017*\"leah\" + 0.013*\"sourc\" + 0.012*\"min\"\n", + "2019-01-31 00:18:05,425 : INFO : topic #2 (0.020): 0.048*\"shield\" + 0.041*\"isl\" + 0.025*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.014*\"capshaw\" + 0.010*\"nativist\" + 0.010*\"blur\" + 0.010*\"bahá\" + 0.009*\"coalit\"\n", + "2019-01-31 00:18:05,427 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.066*\"best\" + 0.033*\"jacksonvil\" + 0.032*\"yawn\" + 0.025*\"japanes\" + 0.022*\"noll\" + 0.020*\"women\" + 0.019*\"festiv\" + 0.015*\"prison\" + 0.013*\"winner\"\n", + "2019-01-31 00:18:05,432 : INFO : topic diff=0.040320, rho=0.110432\n", + "2019-01-31 00:18:05,590 : INFO : PROGRESS: pass 0, at document #166000/4922894\n", + "2019-01-31 00:18:07,107 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:07,372 : INFO : topic #36 (0.020): 0.028*\"companhia\" + 0.010*\"serv\" + 0.009*\"develop\" + 0.009*\"network\" + 0.009*\"busi\" + 0.009*\"manag\" + 0.009*\"oper\" + 0.009*\"market\" + 0.008*\"produc\" + 0.007*\"prognosi\"\n", + "2019-01-31 00:18:07,373 : INFO : topic #16 (0.020): 0.028*\"priest\" + 0.019*\"quarterli\" + 0.017*\"duke\" + 0.015*\"rotterdam\" + 0.015*\"king\" + 0.012*\"princ\" + 0.012*\"maria\" + 0.012*\"grammat\" + 0.010*\"count\" + 0.009*\"portugues\"\n", + "2019-01-31 00:18:07,375 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.016*\"colder\" + 0.015*\"western\" + 0.015*\"record\" + 0.013*\"blind\" + 0.009*\"light\" + 0.007*\"green\" + 0.007*\"depress\" + 0.007*\"illicit\" + 0.006*\"hand\"\n", + "2019-01-31 00:18:07,376 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"televis\" + 0.009*\"start\" + 0.009*\"khalsa\" + 0.008*\"islam\" + 0.008*\"sri\" + 0.008*\"singh\" + 0.008*\"muskoge\"\n", + "2019-01-31 00:18:07,377 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.039*\"american\" + 0.025*\"valour\" + 0.017*\"folei\" + 0.016*\"dutch\" + 0.015*\"player\" + 0.014*\"polit\" + 0.013*\"english\" + 0.010*\"simpler\" + 0.009*\"surnam\"\n", + "2019-01-31 00:18:07,383 : INFO : topic diff=0.042581, rho=0.109764\n", + "2019-01-31 00:18:07,534 : INFO : PROGRESS: pass 0, at document #168000/4922894\n", + "2019-01-31 00:18:08,996 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:09,261 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.065*\"best\" + 0.035*\"jacksonvil\" + 0.031*\"yawn\" + 0.028*\"japanes\" + 0.022*\"noll\" + 0.020*\"women\" + 0.020*\"festiv\" + 0.014*\"prison\" + 0.013*\"intern\"\n", + "2019-01-31 00:18:09,262 : INFO : topic #20 (0.020): 0.128*\"scholar\" + 0.033*\"struggl\" + 0.028*\"high\" + 0.028*\"educ\" + 0.018*\"yawn\" + 0.012*\"collector\" + 0.012*\"prognosi\" + 0.012*\"district\" + 0.009*\"task\" + 0.009*\"electron\"\n", + "2019-01-31 00:18:09,264 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.033*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.010*\"start\" + 0.009*\"islam\" + 0.008*\"khalsa\" + 0.008*\"singh\" + 0.008*\"sri\" + 0.008*\"tajikistan\"\n", + "2019-01-31 00:18:09,265 : INFO : topic #42 (0.020): 0.037*\"german\" + 0.022*\"germani\" + 0.012*\"jewish\" + 0.012*\"der\" + 0.011*\"vol\" + 0.010*\"greek\" + 0.010*\"israel\" + 0.010*\"berlin\" + 0.008*\"anglo\" + 0.007*\"und\"\n", + "2019-01-31 00:18:09,266 : INFO : topic #39 (0.020): 0.034*\"taxpay\" + 0.029*\"scientist\" + 0.027*\"canada\" + 0.024*\"canadian\" + 0.022*\"clot\" + 0.015*\"basketbal\" + 0.013*\"hoar\" + 0.012*\"toronto\" + 0.012*\"confer\" + 0.012*\"ontario\"\n", + "2019-01-31 00:18:09,272 : INFO : topic diff=0.041998, rho=0.109109\n", + "2019-01-31 00:18:09,424 : INFO : PROGRESS: pass 0, at document #170000/4922894\n", + "2019-01-31 00:18:10,902 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:11,168 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.020*\"del\" + 0.019*\"mexico\" + 0.016*\"soviet\" + 0.014*\"santa\" + 0.012*\"juan\" + 0.011*\"josé\" + 0.011*\"antiqu\" + 0.010*\"francisco\"\n", + "2019-01-31 00:18:11,169 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.017*\"will\" + 0.014*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.009*\"slur\" + 0.009*\"rhyme\" + 0.008*\"thirtieth\" + 0.008*\"mexican–american\"\n", + "2019-01-31 00:18:11,170 : INFO : topic #20 (0.020): 0.127*\"scholar\" + 0.032*\"struggl\" + 0.028*\"high\" + 0.028*\"educ\" + 0.018*\"yawn\" + 0.012*\"collector\" + 0.012*\"prognosi\" + 0.012*\"district\" + 0.009*\"task\" + 0.009*\"electron\"\n", + "2019-01-31 00:18:11,171 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.007*\"disco\" + 0.007*\"pathwai\" + 0.006*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"activ\" + 0.006*\"proper\" + 0.005*\"acid\"\n", + "2019-01-31 00:18:11,172 : INFO : topic #0 (0.020): 0.071*\"statewid\" + 0.046*\"arsen\" + 0.037*\"line\" + 0.032*\"raid\" + 0.032*\"museo\" + 0.021*\"traceabl\" + 0.020*\"pain\" + 0.019*\"word\" + 0.017*\"artist\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:18:11,178 : INFO : topic diff=0.041250, rho=0.108465\n", + "2019-01-31 00:18:11,335 : INFO : PROGRESS: pass 0, at document #172000/4922894\n", + "2019-01-31 00:18:12,834 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:13,100 : INFO : topic #19 (0.020): 0.009*\"like\" + 0.009*\"origin\" + 0.008*\"form\" + 0.008*\"woodcut\" + 0.007*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.007*\"differ\" + 0.006*\"dynam\" + 0.005*\"anim\"\n", + "2019-01-31 00:18:13,101 : INFO : topic #4 (0.020): 0.026*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.013*\"candid\" + 0.011*\"mode\" + 0.010*\"elabor\" + 0.010*\"veget\" + 0.008*\"spectacl\" + 0.008*\"produc\" + 0.007*\"turn\"\n", + "2019-01-31 00:18:13,102 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"southern\" + 0.007*\"frontal\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"cytokin\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"gener\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:18:13,102 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.025*\"cortic\" + 0.021*\"start\" + 0.020*\"act\" + 0.017*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"unionist\" + 0.008*\"feder\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:18:13,103 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.039*\"new\" + 0.024*\"palmer\" + 0.022*\"year\" + 0.017*\"center\" + 0.016*\"strategist\" + 0.010*\"open\" + 0.009*\"hot\" + 0.009*\"includ\" + 0.008*\"lobe\"\n", + "2019-01-31 00:18:13,109 : INFO : topic diff=0.041530, rho=0.107833\n", + "2019-01-31 00:18:13,264 : INFO : PROGRESS: pass 0, at document #174000/4922894\n", + "2019-01-31 00:18:14,756 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:15,021 : INFO : topic #2 (0.020): 0.053*\"isl\" + 0.043*\"shield\" + 0.022*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.011*\"capshaw\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"blur\" + 0.009*\"bahá\"\n", + "2019-01-31 00:18:15,022 : INFO : topic #14 (0.020): 0.023*\"walter\" + 0.022*\"forc\" + 0.020*\"aggress\" + 0.019*\"armi\" + 0.017*\"com\" + 0.015*\"unionist\" + 0.012*\"militari\" + 0.012*\"refut\" + 0.012*\"oper\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:18:15,023 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.039*\"new\" + 0.024*\"palmer\" + 0.021*\"year\" + 0.017*\"strategist\" + 0.017*\"center\" + 0.011*\"open\" + 0.009*\"includ\" + 0.009*\"hot\" + 0.008*\"lobe\"\n", + "2019-01-31 00:18:15,025 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.040*\"american\" + 0.026*\"valour\" + 0.017*\"dutch\" + 0.017*\"folei\" + 0.017*\"player\" + 0.015*\"polit\" + 0.015*\"english\" + 0.010*\"simpler\" + 0.010*\"surnam\"\n", + "2019-01-31 00:18:15,026 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.015*\"lagrang\" + 0.015*\"warmth\" + 0.015*\"mount\" + 0.015*\"area\" + 0.008*\"north\" + 0.008*\"foam\" + 0.007*\"palmer\" + 0.007*\"land\" + 0.007*\"lobe\"\n", + "2019-01-31 00:18:15,032 : INFO : topic diff=0.037128, rho=0.107211\n", + "2019-01-31 00:18:15,183 : INFO : PROGRESS: pass 0, at document #176000/4922894\n", + "2019-01-31 00:18:16,676 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:16,941 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"damn\" + 0.019*\"compos\" + 0.017*\"place\" + 0.016*\"theater\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.013*\"word\" + 0.013*\"jack\"\n", + "2019-01-31 00:18:16,943 : INFO : topic #46 (0.020): 0.021*\"wind\" + 0.018*\"damag\" + 0.017*\"stop\" + 0.016*\"norwai\" + 0.014*\"sweden\" + 0.011*\"swedish\" + 0.011*\"turkish\" + 0.011*\"treeless\" + 0.011*\"norwegian\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:18:16,944 : INFO : topic #48 (0.020): 0.081*\"august\" + 0.076*\"januari\" + 0.076*\"octob\" + 0.075*\"march\" + 0.074*\"juli\" + 0.073*\"sens\" + 0.069*\"judici\" + 0.069*\"notion\" + 0.068*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 00:18:16,945 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.022*\"start\" + 0.019*\"act\" + 0.017*\"ricardo\" + 0.013*\"case\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.009*\"unionist\" + 0.008*\"justic\"\n", + "2019-01-31 00:18:16,946 : INFO : topic #29 (0.020): 0.013*\"govern\" + 0.011*\"start\" + 0.009*\"replac\" + 0.008*\"countri\" + 0.007*\"yawn\" + 0.006*\"nation\" + 0.006*\"summerhil\" + 0.006*\"million\" + 0.006*\"new\" + 0.005*\"théori\"\n", + "2019-01-31 00:18:16,952 : INFO : topic diff=0.039723, rho=0.106600\n", + "2019-01-31 00:18:17,108 : INFO : PROGRESS: pass 0, at document #178000/4922894\n", + "2019-01-31 00:18:18,617 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:18,883 : INFO : topic #43 (0.020): 0.069*\"elect\" + 0.057*\"parti\" + 0.025*\"voluntari\" + 0.023*\"member\" + 0.022*\"democrat\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 00:18:18,884 : INFO : topic #45 (0.020): 0.018*\"black\" + 0.016*\"western\" + 0.015*\"colder\" + 0.014*\"record\" + 0.012*\"blind\" + 0.009*\"light\" + 0.008*\"green\" + 0.007*\"illicit\" + 0.006*\"color\" + 0.006*\"arm\"\n", + "2019-01-31 00:18:18,885 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.014*\"jame\" + 0.013*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.009*\"rhyme\" + 0.008*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"thirtieth\"\n", + "2019-01-31 00:18:18,886 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.013*\"deal\" + 0.013*\"margin\" + 0.013*\"faster\" + 0.011*\"john\" + 0.011*\"daughter\" + 0.011*\"bone\"\n", + "2019-01-31 00:18:18,887 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.039*\"new\" + 0.024*\"palmer\" + 0.021*\"year\" + 0.017*\"strategist\" + 0.016*\"center\" + 0.011*\"open\" + 0.009*\"hot\" + 0.009*\"includ\" + 0.008*\"lobe\"\n", + "2019-01-31 00:18:18,893 : INFO : topic diff=0.036481, rho=0.106000\n", + "2019-01-31 00:18:21,674 : INFO : -11.775 per-word bound, 3505.3 perplexity estimate based on a held-out corpus of 2000 documents with 552825 words\n", + "2019-01-31 00:18:21,675 : INFO : PROGRESS: pass 0, at document #180000/4922894\n", + "2019-01-31 00:18:23,155 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:23,420 : INFO : topic #33 (0.020): 0.053*\"french\" + 0.041*\"franc\" + 0.028*\"pari\" + 0.027*\"jean\" + 0.021*\"sail\" + 0.020*\"daphn\" + 0.015*\"piec\" + 0.014*\"lazi\" + 0.012*\"focal\" + 0.011*\"loui\"\n", + "2019-01-31 00:18:23,422 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.018*\"taxpay\" + 0.017*\"tornado\" + 0.013*\"candid\" + 0.012*\"driver\" + 0.011*\"horac\" + 0.011*\"find\" + 0.011*\"yawn\" + 0.011*\"squatter\" + 0.011*\"champion\"\n", + "2019-01-31 00:18:23,423 : INFO : topic #40 (0.020): 0.080*\"unit\" + 0.029*\"collector\" + 0.018*\"institut\" + 0.016*\"schuster\" + 0.014*\"professor\" + 0.014*\"student\" + 0.012*\"governor\" + 0.012*\"american\" + 0.012*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 00:18:23,424 : INFO : topic #19 (0.020): 0.009*\"like\" + 0.009*\"origin\" + 0.008*\"form\" + 0.008*\"woodcut\" + 0.007*\"mean\" + 0.007*\"charact\" + 0.007*\"uruguayan\" + 0.007*\"differ\" + 0.006*\"dynam\" + 0.006*\"god\"\n", + "2019-01-31 00:18:23,425 : INFO : topic #39 (0.020): 0.033*\"taxpay\" + 0.029*\"scientist\" + 0.026*\"canada\" + 0.024*\"canadian\" + 0.021*\"clot\" + 0.015*\"basketbal\" + 0.014*\"toronto\" + 0.012*\"hoar\" + 0.012*\"ontario\" + 0.011*\"confer\"\n", + "2019-01-31 00:18:23,431 : INFO : topic diff=0.035389, rho=0.105409\n", + "2019-01-31 00:18:23,587 : INFO : PROGRESS: pass 0, at document #182000/4922894\n", + "2019-01-31 00:18:25,087 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:25,352 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.015*\"area\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"palmer\" + 0.007*\"land\" + 0.007*\"vacant\"\n", + "2019-01-31 00:18:25,354 : INFO : topic #32 (0.020): 0.068*\"district\" + 0.051*\"vigour\" + 0.045*\"popolo\" + 0.040*\"tortur\" + 0.030*\"area\" + 0.030*\"regim\" + 0.028*\"multitud\" + 0.027*\"cotton\" + 0.020*\"commun\" + 0.020*\"prosper\"\n", + "2019-01-31 00:18:25,355 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.042*\"cotton\" + 0.028*\"unionist\" + 0.019*\"american\" + 0.014*\"california\" + 0.013*\"terri\" + 0.013*\"new\" + 0.012*\"north\" + 0.011*\"violent\" + 0.010*\"obes\"\n", + "2019-01-31 00:18:25,356 : INFO : topic #20 (0.020): 0.129*\"scholar\" + 0.034*\"struggl\" + 0.029*\"high\" + 0.028*\"educ\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.012*\"collector\" + 0.011*\"district\" + 0.009*\"task\" + 0.008*\"gothic\"\n", + "2019-01-31 00:18:25,358 : INFO : topic #17 (0.020): 0.062*\"church\" + 0.021*\"fifteenth\" + 0.020*\"jpg\" + 0.019*\"cathol\" + 0.017*\"christian\" + 0.017*\"centuri\" + 0.016*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.013*\"italian\"\n", + "2019-01-31 00:18:25,363 : INFO : topic diff=0.037979, rho=0.104828\n", + "2019-01-31 00:18:25,518 : INFO : PROGRESS: pass 0, at document #184000/4922894\n", + "2019-01-31 00:18:26,995 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:27,260 : INFO : topic #13 (0.020): 0.032*\"australia\" + 0.026*\"sourc\" + 0.024*\"australian\" + 0.023*\"london\" + 0.022*\"england\" + 0.021*\"ireland\" + 0.020*\"new\" + 0.016*\"youth\" + 0.014*\"wale\" + 0.014*\"british\"\n", + "2019-01-31 00:18:27,261 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.014*\"jame\" + 0.013*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.009*\"rhyme\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.007*\"paul\"\n", + "2019-01-31 00:18:27,262 : INFO : topic #36 (0.020): 0.027*\"companhia\" + 0.009*\"serv\" + 0.009*\"prognosi\" + 0.009*\"develop\" + 0.009*\"oper\" + 0.009*\"manag\" + 0.009*\"market\" + 0.009*\"busi\" + 0.008*\"produc\" + 0.008*\"network\"\n", + "2019-01-31 00:18:27,263 : INFO : topic #16 (0.020): 0.026*\"priest\" + 0.019*\"king\" + 0.017*\"quarterli\" + 0.016*\"duke\" + 0.016*\"maria\" + 0.014*\"klux\" + 0.014*\"rotterdam\" + 0.012*\"grammat\" + 0.012*\"princ\" + 0.010*\"count\"\n", + "2019-01-31 00:18:27,264 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.015*\"area\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.007*\"palmer\" + 0.007*\"vacant\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:18:27,270 : INFO : topic diff=0.036239, rho=0.104257\n", + "2019-01-31 00:18:27,428 : INFO : PROGRESS: pass 0, at document #186000/4922894\n", + "2019-01-31 00:18:28,957 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:29,223 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"taxpay\" + 0.015*\"tornado\" + 0.015*\"candid\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"horac\" + 0.011*\"squatter\" + 0.010*\"yawn\"\n", + "2019-01-31 00:18:29,224 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"march\" + 0.078*\"august\" + 0.077*\"octob\" + 0.074*\"juli\" + 0.074*\"januari\" + 0.069*\"judici\" + 0.069*\"notion\" + 0.068*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 00:18:29,225 : INFO : topic #13 (0.020): 0.031*\"australia\" + 0.025*\"sourc\" + 0.023*\"australian\" + 0.022*\"london\" + 0.021*\"england\" + 0.020*\"ireland\" + 0.020*\"new\" + 0.018*\"youth\" + 0.016*\"british\" + 0.014*\"wale\"\n", + "2019-01-31 00:18:29,226 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.032*\"offic\" + 0.025*\"seri\" + 0.024*\"minist\" + 0.018*\"gener\" + 0.017*\"serv\" + 0.016*\"chickasaw\" + 0.016*\"member\" + 0.014*\"appeas\" + 0.013*\"secess\"\n", + "2019-01-31 00:18:29,227 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.047*\"arsen\" + 0.035*\"raid\" + 0.033*\"line\" + 0.033*\"museo\" + 0.020*\"word\" + 0.020*\"pain\" + 0.019*\"traceabl\" + 0.019*\"artist\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:18:29,233 : INFO : topic diff=0.037878, rho=0.103695\n", + "2019-01-31 00:18:29,383 : INFO : PROGRESS: pass 0, at document #188000/4922894\n", + "2019-01-31 00:18:30,849 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:31,114 : INFO : topic #1 (0.020): 0.059*\"chilton\" + 0.048*\"china\" + 0.027*\"hong\" + 0.027*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.010*\"summer\"\n", + "2019-01-31 00:18:31,115 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.039*\"new\" + 0.026*\"palmer\" + 0.022*\"year\" + 0.016*\"center\" + 0.015*\"strategist\" + 0.010*\"open\" + 0.009*\"includ\" + 0.009*\"hot\" + 0.008*\"lobe\"\n", + "2019-01-31 00:18:31,117 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"crete\" + 0.022*\"scientist\" + 0.021*\"folei\" + 0.017*\"martin\" + 0.016*\"goal\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:18:31,118 : INFO : topic #32 (0.020): 0.064*\"district\" + 0.050*\"vigour\" + 0.047*\"tortur\" + 0.046*\"popolo\" + 0.030*\"regim\" + 0.029*\"area\" + 0.027*\"multitud\" + 0.026*\"cotton\" + 0.021*\"prosper\" + 0.020*\"commun\"\n", + "2019-01-31 00:18:31,119 : INFO : topic #39 (0.020): 0.031*\"taxpay\" + 0.029*\"scientist\" + 0.026*\"canada\" + 0.024*\"canadian\" + 0.023*\"clot\" + 0.015*\"basketbal\" + 0.014*\"toronto\" + 0.012*\"ontario\" + 0.012*\"confer\" + 0.012*\"hoar\"\n", + "2019-01-31 00:18:31,125 : INFO : topic diff=0.035583, rho=0.103142\n", + "2019-01-31 00:18:31,329 : INFO : PROGRESS: pass 0, at document #190000/4922894\n", + "2019-01-31 00:18:32,817 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:33,083 : INFO : topic #46 (0.020): 0.020*\"damag\" + 0.018*\"wind\" + 0.016*\"norwai\" + 0.015*\"sweden\" + 0.014*\"stop\" + 0.014*\"swedish\" + 0.012*\"turkei\" + 0.012*\"earthquak\" + 0.012*\"turkish\" + 0.011*\"norwegian\"\n", + "2019-01-31 00:18:33,084 : INFO : topic #15 (0.020): 0.014*\"requir\" + 0.013*\"develop\" + 0.012*\"small\" + 0.010*\"cultur\" + 0.010*\"word\" + 0.009*\"organ\" + 0.009*\"student\" + 0.008*\"socialist\" + 0.008*\"commun\" + 0.008*\"human\"\n", + "2019-01-31 00:18:33,085 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.032*\"offic\" + 0.025*\"seri\" + 0.025*\"minist\" + 0.018*\"gener\" + 0.016*\"serv\" + 0.016*\"chickasaw\" + 0.016*\"member\" + 0.014*\"appeas\" + 0.013*\"secess\"\n", + "2019-01-31 00:18:33,086 : INFO : topic #16 (0.020): 0.029*\"priest\" + 0.020*\"king\" + 0.018*\"quarterli\" + 0.018*\"duke\" + 0.016*\"klux\" + 0.014*\"maria\" + 0.014*\"rotterdam\" + 0.013*\"princ\" + 0.013*\"portugues\" + 0.012*\"grammat\"\n", + "2019-01-31 00:18:33,088 : INFO : topic #20 (0.020): 0.126*\"scholar\" + 0.036*\"struggl\" + 0.029*\"educ\" + 0.028*\"high\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.012*\"collector\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.008*\"task\"\n", + "2019-01-31 00:18:33,094 : INFO : topic diff=0.035430, rho=0.102598\n", + "2019-01-31 00:18:33,255 : INFO : PROGRESS: pass 0, at document #192000/4922894\n", + "2019-01-31 00:18:34,776 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:35,041 : INFO : topic #32 (0.020): 0.064*\"district\" + 0.050*\"vigour\" + 0.046*\"tortur\" + 0.045*\"popolo\" + 0.030*\"regim\" + 0.029*\"area\" + 0.027*\"multitud\" + 0.025*\"cotton\" + 0.022*\"prosper\" + 0.021*\"commun\"\n", + "2019-01-31 00:18:35,042 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"southern\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"gener\" + 0.005*\"cytokin\" + 0.005*\"uruguayan\"\n", + "2019-01-31 00:18:35,044 : INFO : topic #46 (0.020): 0.020*\"damag\" + 0.017*\"wind\" + 0.015*\"norwai\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.014*\"stop\" + 0.012*\"turkish\" + 0.012*\"turkei\" + 0.012*\"earthquak\" + 0.011*\"norwegian\"\n", + "2019-01-31 00:18:35,045 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.016*\"will\" + 0.014*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.010*\"slur\" + 0.009*\"rhyme\" + 0.008*\"mexican–american\" + 0.007*\"thirtieth\"\n", + "2019-01-31 00:18:35,046 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.039*\"new\" + 0.025*\"palmer\" + 0.022*\"year\" + 0.016*\"center\" + 0.015*\"strategist\" + 0.010*\"open\" + 0.009*\"includ\" + 0.008*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:18:35,051 : INFO : topic diff=0.039348, rho=0.102062\n", + "2019-01-31 00:18:35,207 : INFO : PROGRESS: pass 0, at document #194000/4922894\n", + "2019-01-31 00:18:36,705 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:36,971 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.031*\"champion\" + 0.030*\"woman\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.023*\"event\" + 0.021*\"alic\" + 0.020*\"medal\" + 0.017*\"atheist\" + 0.017*\"théori\"\n", + "2019-01-31 00:18:36,972 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.038*\"american\" + 0.031*\"valour\" + 0.017*\"dutch\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"polit\" + 0.014*\"english\" + 0.010*\"surnam\" + 0.010*\"simpler\"\n", + "2019-01-31 00:18:36,973 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.031*\"offic\" + 0.025*\"seri\" + 0.024*\"minist\" + 0.018*\"gener\" + 0.016*\"chickasaw\" + 0.016*\"serv\" + 0.016*\"member\" + 0.015*\"appeas\" + 0.012*\"secess\"\n", + "2019-01-31 00:18:36,974 : INFO : topic #35 (0.020): 0.046*\"russia\" + 0.033*\"sovereignti\" + 0.030*\"rural\" + 0.026*\"reprint\" + 0.023*\"personifi\" + 0.019*\"unfortun\" + 0.018*\"moscow\" + 0.016*\"poison\" + 0.014*\"intern\" + 0.013*\"shirin\"\n", + "2019-01-31 00:18:36,975 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.039*\"new\" + 0.025*\"palmer\" + 0.022*\"year\" + 0.015*\"center\" + 0.015*\"strategist\" + 0.010*\"open\" + 0.009*\"includ\" + 0.008*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:18:36,981 : INFO : topic diff=0.031677, rho=0.101535\n", + "2019-01-31 00:18:37,134 : INFO : PROGRESS: pass 0, at document #196000/4922894\n", + "2019-01-31 00:18:38,610 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:38,876 : INFO : topic #45 (0.020): 0.022*\"black\" + 0.016*\"western\" + 0.015*\"colder\" + 0.013*\"record\" + 0.011*\"blind\" + 0.010*\"light\" + 0.008*\"green\" + 0.007*\"illicit\" + 0.006*\"depress\" + 0.006*\"arm\"\n", + "2019-01-31 00:18:38,877 : INFO : topic #23 (0.020): 0.131*\"audit\" + 0.069*\"best\" + 0.034*\"jacksonvil\" + 0.029*\"japanes\" + 0.029*\"yawn\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.018*\"women\" + 0.015*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:18:38,878 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.018*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.013*\"margin\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"john\" + 0.011*\"daughter\" + 0.011*\"bone\"\n", + "2019-01-31 00:18:38,879 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.026*\"cortic\" + 0.021*\"start\" + 0.021*\"act\" + 0.019*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.009*\"justic\" + 0.009*\"unionist\"\n", + "2019-01-31 00:18:38,880 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.015*\"area\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"foam\" + 0.007*\"palmer\" + 0.007*\"vacant\"\n", + "2019-01-31 00:18:38,886 : INFO : topic diff=0.034481, rho=0.101015\n", + "2019-01-31 00:18:39,043 : INFO : PROGRESS: pass 0, at document #198000/4922894\n", + "2019-01-31 00:18:40,529 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:18:40,795 : INFO : topic #42 (0.020): 0.038*\"german\" + 0.024*\"germani\" + 0.013*\"vol\" + 0.012*\"israel\" + 0.012*\"berlin\" + 0.011*\"jewish\" + 0.010*\"der\" + 0.010*\"anglo\" + 0.009*\"greek\" + 0.008*\"austria\"\n", + "2019-01-31 00:18:40,796 : INFO : topic #44 (0.020): 0.035*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.016*\"champion\" + 0.015*\"tiepolo\" + 0.014*\"poet\" + 0.013*\"chamber\" + 0.013*\"martin\" + 0.012*\"taxpay\"\n", + "2019-01-31 00:18:40,798 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.026*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.011*\"josé\" + 0.010*\"lizard\"\n", + "2019-01-31 00:18:40,799 : INFO : topic #48 (0.020): 0.079*\"august\" + 0.076*\"march\" + 0.075*\"sens\" + 0.074*\"octob\" + 0.074*\"juli\" + 0.071*\"januari\" + 0.070*\"decatur\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.068*\"april\"\n", + "2019-01-31 00:18:40,800 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"crete\" + 0.022*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:18:40,806 : INFO : topic diff=0.034555, rho=0.100504\n", + "2019-01-31 00:18:43,616 : INFO : -11.562 per-word bound, 3023.6 perplexity estimate based on a held-out corpus of 2000 documents with 555661 words\n", + "2019-01-31 00:18:43,617 : INFO : PROGRESS: pass 0, at document #200000/4922894\n", + "2019-01-31 00:18:45,119 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:45,385 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"septemb\" + 0.020*\"epiru\" + 0.020*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:18:45,386 : INFO : topic #48 (0.020): 0.079*\"august\" + 0.076*\"sens\" + 0.075*\"octob\" + 0.075*\"march\" + 0.074*\"juli\" + 0.073*\"januari\" + 0.070*\"decatur\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.067*\"april\"\n", + "2019-01-31 00:18:45,388 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.022*\"adulthood\" + 0.016*\"hostil\" + 0.015*\"feel\" + 0.014*\"male\" + 0.013*\"genu\" + 0.012*\"live\" + 0.011*\"popolo\" + 0.010*\"yawn\"\n", + "2019-01-31 00:18:45,389 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.018*\"taxpay\" + 0.015*\"tornado\" + 0.013*\"candid\" + 0.012*\"find\" + 0.012*\"driver\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.010*\"théori\" + 0.010*\"yawn\"\n", + "2019-01-31 00:18:45,390 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"arsen\" + 0.038*\"raid\" + 0.036*\"line\" + 0.030*\"museo\" + 0.020*\"pain\" + 0.020*\"traceabl\" + 0.019*\"word\" + 0.019*\"artist\" + 0.016*\"serv\"\n", + "2019-01-31 00:18:45,395 : INFO : topic diff=0.033841, rho=0.100000\n", + "2019-01-31 00:18:45,547 : INFO : PROGRESS: pass 0, at document #202000/4922894\n", + "2019-01-31 00:18:47,017 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:47,283 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.026*\"crete\" + 0.022*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:18:47,284 : INFO : topic #36 (0.020): 0.028*\"companhia\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.009*\"market\" + 0.009*\"network\" + 0.009*\"oper\" + 0.009*\"manag\" + 0.008*\"prognosi\" + 0.008*\"busi\" + 0.008*\"produc\"\n", + "2019-01-31 00:18:47,286 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.025*\"adulthood\" + 0.017*\"hostil\" + 0.016*\"feel\" + 0.013*\"male\" + 0.012*\"genu\" + 0.012*\"live\" + 0.011*\"popolo\" + 0.010*\"yawn\"\n", + "2019-01-31 00:18:47,287 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.029*\"collector\" + 0.019*\"institut\" + 0.018*\"schuster\" + 0.016*\"professor\" + 0.014*\"student\" + 0.013*\"requir\" + 0.012*\"american\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:18:47,288 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.006*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"litig\" + 0.005*\"blue\" + 0.004*\"bewild\" + 0.004*\"misconcept\" + 0.004*\"dai\" + 0.003*\"introductori\"\n", + "2019-01-31 00:18:47,294 : INFO : topic diff=0.032983, rho=0.099504\n", + "2019-01-31 00:18:47,450 : INFO : PROGRESS: pass 0, at document #204000/4922894\n", + "2019-01-31 00:18:48,967 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:49,233 : INFO : topic #49 (0.020): 0.038*\"india\" + 0.028*\"incumb\" + 0.014*\"televis\" + 0.012*\"pakistan\" + 0.010*\"islam\" + 0.009*\"start\" + 0.009*\"muskoge\" + 0.009*\"sri\" + 0.009*\"khalsa\" + 0.009*\"singh\"\n", + "2019-01-31 00:18:49,234 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.016*\"factor\" + 0.013*\"yawn\" + 0.013*\"margin\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"john\" + 0.011*\"life\" + 0.011*\"bone\"\n", + "2019-01-31 00:18:49,235 : INFO : topic #23 (0.020): 0.131*\"audit\" + 0.079*\"best\" + 0.035*\"jacksonvil\" + 0.029*\"yawn\" + 0.028*\"japanes\" + 0.020*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.014*\"intern\" + 0.013*\"categori\"\n", + "2019-01-31 00:18:49,237 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.026*\"factor\" + 0.025*\"adulthood\" + 0.017*\"hostil\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"genu\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.010*\"popolo\"\n", + "2019-01-31 00:18:49,238 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.032*\"publicis\" + 0.019*\"word\" + 0.014*\"new\" + 0.014*\"edit\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"presid\" + 0.010*\"author\"\n", + "2019-01-31 00:18:49,244 : INFO : topic diff=0.033727, rho=0.099015\n", + "2019-01-31 00:18:49,401 : INFO : PROGRESS: pass 0, at document #206000/4922894\n", + "2019-01-31 00:18:50,904 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:51,170 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.015*\"king\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"embassi\" + 0.007*\"till\"\n", + "2019-01-31 00:18:51,171 : INFO : topic #12 (0.020): 0.010*\"cytokin\" + 0.010*\"utopian\" + 0.009*\"number\" + 0.007*\"frontal\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\"\n", + "2019-01-31 00:18:51,172 : INFO : topic #9 (0.020): 0.091*\"bone\" + 0.036*\"american\" + 0.027*\"valour\" + 0.018*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.015*\"dutch\" + 0.013*\"english\" + 0.012*\"simpler\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:18:51,173 : INFO : topic #48 (0.020): 0.079*\"octob\" + 0.079*\"august\" + 0.078*\"sens\" + 0.077*\"march\" + 0.075*\"januari\" + 0.074*\"juli\" + 0.074*\"notion\" + 0.072*\"decatur\" + 0.070*\"april\" + 0.068*\"judici\"\n", + "2019-01-31 00:18:51,175 : INFO : topic #44 (0.020): 0.036*\"rooftop\" + 0.025*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.016*\"champion\" + 0.015*\"poet\" + 0.014*\"tiepolo\" + 0.014*\"ret\" + 0.014*\"martin\" + 0.013*\"chamber\"\n", + "2019-01-31 00:18:51,180 : INFO : topic diff=0.029353, rho=0.098533\n", + "2019-01-31 00:18:51,339 : INFO : PROGRESS: pass 0, at document #208000/4922894\n", + "2019-01-31 00:18:52,840 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:53,106 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.025*\"spain\" + 0.020*\"del\" + 0.018*\"mexico\" + 0.015*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"josé\" + 0.010*\"lizard\"\n", + "2019-01-31 00:18:53,107 : INFO : topic #16 (0.020): 0.031*\"priest\" + 0.019*\"king\" + 0.018*\"duke\" + 0.017*\"quarterli\" + 0.015*\"grammat\" + 0.015*\"rotterdam\" + 0.014*\"maria\" + 0.013*\"portugues\" + 0.012*\"princ\" + 0.012*\"anima\"\n", + "2019-01-31 00:18:53,108 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.078*\"best\" + 0.035*\"jacksonvil\" + 0.029*\"yawn\" + 0.028*\"japanes\" + 0.021*\"noll\" + 0.021*\"festiv\" + 0.018*\"women\" + 0.014*\"prison\" + 0.014*\"intern\"\n", + "2019-01-31 00:18:53,109 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.006*\"gestur\" + 0.005*\"blue\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.004*\"introductori\" + 0.003*\"misconcept\" + 0.003*\"dai\"\n", + "2019-01-31 00:18:53,110 : INFO : topic #4 (0.020): 0.025*\"enfranchis\" + 0.017*\"pour\" + 0.016*\"depress\" + 0.012*\"mode\" + 0.012*\"candid\" + 0.010*\"elabor\" + 0.010*\"veget\" + 0.009*\"produc\" + 0.008*\"encyclopedia\" + 0.008*\"mandir\"\n", + "2019-01-31 00:18:53,116 : INFO : topic diff=0.035179, rho=0.098058\n", + "2019-01-31 00:18:53,273 : INFO : PROGRESS: pass 0, at document #210000/4922894\n", + "2019-01-31 00:18:54,765 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:55,031 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.006*\"gestur\" + 0.005*\"man\" + 0.005*\"blue\" + 0.005*\"night\" + 0.005*\"litig\" + 0.004*\"bewild\" + 0.004*\"dai\" + 0.003*\"introductori\" + 0.003*\"misconcept\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:18:55,032 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.016*\"will\" + 0.014*\"jame\" + 0.013*\"rival\" + 0.011*\"david\" + 0.011*\"georg\" + 0.010*\"slur\" + 0.009*\"rhyme\" + 0.008*\"mexican–american\" + 0.008*\"thirtieth\"\n", + "2019-01-31 00:18:55,033 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.024*\"aggress\" + 0.021*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"militari\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"airmen\" + 0.012*\"airbu\"\n", + "2019-01-31 00:18:55,034 : INFO : topic #49 (0.020): 0.039*\"india\" + 0.030*\"incumb\" + 0.015*\"televis\" + 0.012*\"pakistan\" + 0.010*\"islam\" + 0.009*\"khalsa\" + 0.009*\"start\" + 0.009*\"singh\" + 0.009*\"muskoge\" + 0.009*\"sri\"\n", + "2019-01-31 00:18:55,035 : INFO : topic #4 (0.020): 0.025*\"enfranchis\" + 0.018*\"pour\" + 0.016*\"depress\" + 0.012*\"candid\" + 0.012*\"mode\" + 0.011*\"elabor\" + 0.010*\"veget\" + 0.008*\"produc\" + 0.008*\"encyclopedia\" + 0.008*\"spectacl\"\n", + "2019-01-31 00:18:55,041 : INFO : topic diff=0.030341, rho=0.097590\n", + "2019-01-31 00:18:55,195 : INFO : PROGRESS: pass 0, at document #212000/4922894\n", + "2019-01-31 00:18:56,665 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:56,931 : INFO : topic #43 (0.020): 0.067*\"parti\" + 0.065*\"elect\" + 0.026*\"democrat\" + 0.025*\"voluntari\" + 0.022*\"member\" + 0.017*\"polici\" + 0.017*\"republ\" + 0.015*\"bypass\" + 0.014*\"report\" + 0.014*\"seaport\"\n", + "2019-01-31 00:18:56,932 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.028*\"cortic\" + 0.020*\"start\" + 0.019*\"act\" + 0.017*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.009*\"unionist\" + 0.008*\"justic\"\n", + "2019-01-31 00:18:56,933 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.015*\"king\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.008*\"empath\" + 0.008*\"embassi\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"till\"\n", + "2019-01-31 00:18:56,934 : INFO : topic #39 (0.020): 0.031*\"taxpay\" + 0.028*\"scientist\" + 0.025*\"canada\" + 0.023*\"clot\" + 0.021*\"canadian\" + 0.015*\"basketbal\" + 0.013*\"hoar\" + 0.012*\"confer\" + 0.011*\"yawn\" + 0.011*\"toronto\"\n", + "2019-01-31 00:18:56,935 : INFO : topic #32 (0.020): 0.063*\"district\" + 0.052*\"tortur\" + 0.049*\"vigour\" + 0.045*\"popolo\" + 0.029*\"regim\" + 0.028*\"multitud\" + 0.028*\"area\" + 0.027*\"cotton\" + 0.021*\"prosper\" + 0.020*\"commun\"\n", + "2019-01-31 00:18:56,941 : INFO : topic diff=0.032093, rho=0.097129\n", + "2019-01-31 00:18:57,096 : INFO : PROGRESS: pass 0, at document #214000/4922894\n", + "2019-01-31 00:18:58,568 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:18:58,834 : INFO : topic #8 (0.020): 0.028*\"cortic\" + 0.028*\"law\" + 0.020*\"start\" + 0.018*\"act\" + 0.017*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"unionist\" + 0.009*\"legal\" + 0.008*\"justic\"\n", + "2019-01-31 00:18:58,835 : INFO : topic #43 (0.020): 0.067*\"parti\" + 0.066*\"elect\" + 0.026*\"voluntari\" + 0.025*\"democrat\" + 0.022*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.014*\"report\"\n", + "2019-01-31 00:18:58,836 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.038*\"new\" + 0.024*\"palmer\" + 0.023*\"year\" + 0.016*\"strategist\" + 0.015*\"center\" + 0.012*\"open\" + 0.009*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:18:58,837 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.031*\"offic\" + 0.025*\"minist\" + 0.023*\"seri\" + 0.019*\"gener\" + 0.017*\"chickasaw\" + 0.016*\"serv\" + 0.016*\"member\" + 0.014*\"appeas\" + 0.013*\"secess\"\n", + "2019-01-31 00:18:58,838 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.015*\"king\" + 0.009*\"empath\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"embassi\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.008*\"kingdom\" + 0.007*\"armi\"\n", + "2019-01-31 00:18:58,844 : INFO : topic diff=0.027992, rho=0.096674\n", + "2019-01-31 00:18:59,000 : INFO : PROGRESS: pass 0, at document #216000/4922894\n", + "2019-01-31 00:19:00,502 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:00,767 : INFO : topic #4 (0.020): 0.026*\"enfranchis\" + 0.018*\"pour\" + 0.016*\"depress\" + 0.012*\"candid\" + 0.011*\"mode\" + 0.011*\"elabor\" + 0.009*\"veget\" + 0.009*\"encyclopedia\" + 0.009*\"spectacl\" + 0.008*\"produc\"\n", + "2019-01-31 00:19:00,769 : INFO : topic #35 (0.020): 0.046*\"russia\" + 0.031*\"sovereignti\" + 0.031*\"rural\" + 0.025*\"reprint\" + 0.021*\"personifi\" + 0.020*\"poison\" + 0.019*\"unfortun\" + 0.017*\"moscow\" + 0.015*\"shirin\" + 0.015*\"poland\"\n", + "2019-01-31 00:19:00,770 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.018*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.015*\"area\" + 0.009*\"land\" + 0.008*\"north\" + 0.007*\"firm\" + 0.007*\"foam\" + 0.007*\"vacant\"\n", + "2019-01-31 00:19:00,771 : INFO : topic #28 (0.020): 0.028*\"build\" + 0.024*\"hous\" + 0.017*\"rivièr\" + 0.016*\"buford\" + 0.011*\"histor\" + 0.011*\"rosenwald\" + 0.011*\"constitut\" + 0.010*\"briarwood\" + 0.010*\"strategist\" + 0.009*\"lobe\"\n", + "2019-01-31 00:19:00,772 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.077*\"best\" + 0.041*\"jacksonvil\" + 0.028*\"yawn\" + 0.027*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.015*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:19:00,778 : INFO : topic diff=0.032962, rho=0.096225\n", + "2019-01-31 00:19:00,930 : INFO : PROGRESS: pass 0, at document #218000/4922894\n", + "2019-01-31 00:19:02,391 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:02,657 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.017*\"taxpay\" + 0.015*\"candid\" + 0.014*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.012*\"squatter\" + 0.011*\"driver\" + 0.011*\"septemb\" + 0.010*\"théori\"\n", + "2019-01-31 00:19:02,659 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"compos\" + 0.018*\"damn\" + 0.018*\"physician\" + 0.018*\"wahl\" + 0.017*\"theater\" + 0.017*\"orchestr\" + 0.016*\"place\" + 0.014*\"olympo\"\n", + "2019-01-31 00:19:02,660 : INFO : topic #35 (0.020): 0.046*\"russia\" + 0.031*\"sovereignti\" + 0.030*\"rural\" + 0.025*\"reprint\" + 0.022*\"personifi\" + 0.019*\"poison\" + 0.019*\"unfortun\" + 0.018*\"moscow\" + 0.015*\"shirin\" + 0.014*\"poland\"\n", + "2019-01-31 00:19:02,662 : INFO : topic #46 (0.020): 0.023*\"wind\" + 0.019*\"sweden\" + 0.018*\"norwai\" + 0.015*\"damag\" + 0.014*\"swedish\" + 0.013*\"stop\" + 0.012*\"norwegian\" + 0.011*\"turkish\" + 0.011*\"turkei\" + 0.010*\"warren\"\n", + "2019-01-31 00:19:02,663 : INFO : topic #32 (0.020): 0.063*\"district\" + 0.052*\"vigour\" + 0.049*\"tortur\" + 0.044*\"popolo\" + 0.030*\"regim\" + 0.028*\"area\" + 0.028*\"multitud\" + 0.027*\"cotton\" + 0.021*\"prosper\" + 0.020*\"commun\"\n", + "2019-01-31 00:19:02,668 : INFO : topic diff=0.029279, rho=0.095783\n", + "2019-01-31 00:19:05,473 : INFO : -11.815 per-word bound, 3604.1 perplexity estimate based on a held-out corpus of 2000 documents with 557993 words\n", + "2019-01-31 00:19:05,473 : INFO : PROGRESS: pass 0, at document #220000/4922894\n", + "2019-01-31 00:19:06,970 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:07,235 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.044*\"arsen\" + 0.038*\"line\" + 0.032*\"raid\" + 0.031*\"museo\" + 0.020*\"word\" + 0.019*\"traceabl\" + 0.019*\"artist\" + 0.019*\"pain\" + 0.017*\"serv\"\n", + "2019-01-31 00:19:07,236 : INFO : topic #46 (0.020): 0.023*\"wind\" + 0.021*\"norwai\" + 0.019*\"sweden\" + 0.015*\"norwegian\" + 0.014*\"swedish\" + 0.014*\"damag\" + 0.013*\"stop\" + 0.011*\"utc\" + 0.011*\"turkei\" + 0.010*\"turkish\"\n", + "2019-01-31 00:19:07,237 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.016*\"taxpay\" + 0.015*\"tornado\" + 0.014*\"candid\" + 0.013*\"squatter\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"driver\" + 0.010*\"théori\" + 0.010*\"rick\"\n", + "2019-01-31 00:19:07,239 : INFO : topic #1 (0.020): 0.050*\"china\" + 0.049*\"chilton\" + 0.030*\"kong\" + 0.029*\"hong\" + 0.023*\"korea\" + 0.021*\"korean\" + 0.017*\"huei\" + 0.016*\"sourc\" + 0.014*\"min\" + 0.013*\"dynasti\"\n", + "2019-01-31 00:19:07,240 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.026*\"factor\" + 0.024*\"adulthood\" + 0.018*\"hostil\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"live\" + 0.011*\"genu\" + 0.010*\"popolo\" + 0.010*\"yawn\"\n", + "2019-01-31 00:19:07,246 : INFO : topic diff=0.027617, rho=0.095346\n", + "2019-01-31 00:19:07,405 : INFO : PROGRESS: pass 0, at document #222000/4922894\n", + "2019-01-31 00:19:08,916 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:09,181 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.018*\"armi\" + 0.017*\"com\" + 0.016*\"airmen\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.011*\"airbu\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:19:09,182 : INFO : topic #32 (0.020): 0.063*\"district\" + 0.050*\"vigour\" + 0.049*\"tortur\" + 0.044*\"popolo\" + 0.029*\"regim\" + 0.029*\"area\" + 0.028*\"multitud\" + 0.026*\"cotton\" + 0.022*\"prosper\" + 0.020*\"commun\"\n", + "2019-01-31 00:19:09,183 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.048*\"franc\" + 0.029*\"pari\" + 0.026*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.011*\"piec\" + 0.010*\"loui\" + 0.010*\"wine\"\n", + "2019-01-31 00:19:09,184 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"compos\" + 0.019*\"damn\" + 0.017*\"physician\" + 0.017*\"theater\" + 0.016*\"place\" + 0.016*\"orchestr\" + 0.015*\"wahl\" + 0.014*\"olympo\"\n", + "2019-01-31 00:19:09,186 : INFO : topic #15 (0.020): 0.013*\"develop\" + 0.012*\"requir\" + 0.012*\"small\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.009*\"organ\" + 0.009*\"student\" + 0.008*\"commun\" + 0.008*\"socialist\" + 0.008*\"group\"\n", + "2019-01-31 00:19:09,191 : INFO : topic diff=0.031923, rho=0.094916\n", + "2019-01-31 00:19:09,406 : INFO : PROGRESS: pass 0, at document #224000/4922894\n", + "2019-01-31 00:19:10,896 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:11,161 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.017*\"will\" + 0.014*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.009*\"slur\" + 0.009*\"rhyme\" + 0.009*\"mexican–american\" + 0.008*\"paul\"\n", + "2019-01-31 00:19:11,163 : INFO : topic #1 (0.020): 0.052*\"chilton\" + 0.051*\"china\" + 0.029*\"kong\" + 0.029*\"hong\" + 0.023*\"korea\" + 0.021*\"korean\" + 0.016*\"sourc\" + 0.015*\"huei\" + 0.013*\"leah\" + 0.012*\"min\"\n", + "2019-01-31 00:19:11,164 : INFO : topic #16 (0.020): 0.029*\"priest\" + 0.020*\"quarterli\" + 0.019*\"king\" + 0.018*\"duke\" + 0.017*\"grammat\" + 0.016*\"rotterdam\" + 0.014*\"maria\" + 0.013*\"princ\" + 0.012*\"portugues\" + 0.011*\"klux\"\n", + "2019-01-31 00:19:11,165 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.081*\"march\" + 0.080*\"octob\" + 0.078*\"juli\" + 0.078*\"januari\" + 0.077*\"august\" + 0.075*\"judici\" + 0.075*\"april\" + 0.074*\"notion\" + 0.071*\"decatur\"\n", + "2019-01-31 00:19:11,167 : INFO : topic #39 (0.020): 0.030*\"taxpay\" + 0.028*\"scientist\" + 0.025*\"canada\" + 0.021*\"clot\" + 0.021*\"canadian\" + 0.015*\"basketbal\" + 0.013*\"hoar\" + 0.012*\"toronto\" + 0.012*\"confer\" + 0.011*\"yawn\"\n", + "2019-01-31 00:19:11,173 : INFO : topic diff=0.028385, rho=0.094491\n", + "2019-01-31 00:19:11,326 : INFO : PROGRESS: pass 0, at document #226000/4922894\n", + "2019-01-31 00:19:12,800 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:13,065 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.038*\"new\" + 0.024*\"palmer\" + 0.023*\"year\" + 0.017*\"center\" + 0.016*\"strategist\" + 0.011*\"open\" + 0.009*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:19:13,066 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.031*\"offic\" + 0.025*\"minist\" + 0.022*\"seri\" + 0.019*\"gener\" + 0.018*\"serv\" + 0.017*\"chickasaw\" + 0.016*\"member\" + 0.014*\"appeas\" + 0.013*\"secess\"\n", + "2019-01-31 00:19:13,067 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.046*\"franc\" + 0.028*\"pari\" + 0.026*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.011*\"wine\" + 0.010*\"focal\"\n", + "2019-01-31 00:19:13,068 : INFO : topic #19 (0.020): 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"woodcut\" + 0.008*\"god\" + 0.008*\"like\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.006*\"differ\" + 0.006*\"call\"\n", + "2019-01-31 00:19:13,069 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.006*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"blue\" + 0.004*\"bewild\" + 0.004*\"litig\" + 0.004*\"christma\" + 0.004*\"dai\" + 0.004*\"toll\"\n", + "2019-01-31 00:19:13,075 : INFO : topic diff=0.026800, rho=0.094072\n", + "2019-01-31 00:19:13,228 : INFO : PROGRESS: pass 0, at document #228000/4922894\n", + "2019-01-31 00:19:14,695 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:14,961 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.032*\"leagu\" + 0.030*\"place\" + 0.025*\"taxpay\" + 0.024*\"crete\" + 0.023*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:19:14,962 : INFO : topic #41 (0.020): 0.048*\"citi\" + 0.038*\"new\" + 0.024*\"palmer\" + 0.023*\"year\" + 0.017*\"center\" + 0.016*\"strategist\" + 0.012*\"open\" + 0.009*\"includ\" + 0.009*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 00:19:14,963 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"compos\" + 0.019*\"physician\" + 0.017*\"damn\" + 0.017*\"place\" + 0.015*\"theater\" + 0.015*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"wahl\"\n", + "2019-01-31 00:19:14,964 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.046*\"franc\" + 0.028*\"pari\" + 0.027*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"loui\" + 0.010*\"wine\"\n", + "2019-01-31 00:19:14,965 : INFO : topic #32 (0.020): 0.062*\"district\" + 0.050*\"vigour\" + 0.048*\"tortur\" + 0.043*\"popolo\" + 0.029*\"regim\" + 0.029*\"area\" + 0.028*\"multitud\" + 0.026*\"cotton\" + 0.021*\"prosper\" + 0.020*\"commun\"\n", + "2019-01-31 00:19:14,971 : INFO : topic diff=0.026556, rho=0.093659\n", + "2019-01-31 00:19:15,126 : INFO : PROGRESS: pass 0, at document #230000/4922894\n", + "2019-01-31 00:19:16,589 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:16,855 : INFO : topic #41 (0.020): 0.048*\"citi\" + 0.038*\"new\" + 0.024*\"palmer\" + 0.023*\"year\" + 0.016*\"center\" + 0.016*\"strategist\" + 0.012*\"open\" + 0.009*\"includ\" + 0.009*\"hot\" + 0.009*\"lobe\"\n", + "2019-01-31 00:19:16,856 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.044*\"franc\" + 0.027*\"sail\" + 0.027*\"pari\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"wreath\" + 0.011*\"piec\" + 0.010*\"loui\"\n", + "2019-01-31 00:19:16,857 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"compos\" + 0.019*\"physician\" + 0.018*\"damn\" + 0.017*\"place\" + 0.015*\"theater\" + 0.015*\"orchestr\" + 0.014*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:19:16,858 : INFO : topic #16 (0.020): 0.029*\"priest\" + 0.021*\"duke\" + 0.019*\"king\" + 0.018*\"quarterli\" + 0.016*\"grammat\" + 0.014*\"rotterdam\" + 0.013*\"maria\" + 0.013*\"princ\" + 0.011*\"portugues\" + 0.011*\"count\"\n", + "2019-01-31 00:19:16,859 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.014*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.011*\"georg\" + 0.010*\"slur\" + 0.009*\"rhyme\" + 0.008*\"mexican–american\" + 0.007*\"thirtieth\"\n", + "2019-01-31 00:19:16,865 : INFO : topic diff=0.026651, rho=0.093250\n", + "2019-01-31 00:19:17,018 : INFO : PROGRESS: pass 0, at document #232000/4922894\n", + "2019-01-31 00:19:18,480 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:18,746 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.033*\"leagu\" + 0.030*\"place\" + 0.025*\"taxpay\" + 0.024*\"crete\" + 0.022*\"scientist\" + 0.022*\"folei\" + 0.017*\"martin\" + 0.016*\"goal\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:19:18,747 : INFO : topic #17 (0.020): 0.058*\"church\" + 0.019*\"fifteenth\" + 0.018*\"jpg\" + 0.017*\"cathol\" + 0.017*\"retroflex\" + 0.016*\"bishop\" + 0.016*\"centuri\" + 0.015*\"christian\" + 0.013*\"sail\" + 0.012*\"italian\"\n", + "2019-01-31 00:19:18,749 : INFO : topic #1 (0.020): 0.053*\"chilton\" + 0.051*\"china\" + 0.026*\"kong\" + 0.026*\"hong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.017*\"sourc\" + 0.013*\"leah\" + 0.012*\"taiwan\" + 0.011*\"min\"\n", + "2019-01-31 00:19:18,750 : INFO : topic #36 (0.020): 0.028*\"companhia\" + 0.010*\"market\" + 0.009*\"serv\" + 0.009*\"manag\" + 0.009*\"develop\" + 0.009*\"busi\" + 0.009*\"oper\" + 0.008*\"produc\" + 0.008*\"prognosi\" + 0.008*\"includ\"\n", + "2019-01-31 00:19:18,751 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.006*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"blue\" + 0.004*\"bewild\" + 0.004*\"litig\" + 0.004*\"introductori\" + 0.004*\"christma\" + 0.004*\"dai\"\n", + "2019-01-31 00:19:18,757 : INFO : topic diff=0.025051, rho=0.092848\n", + "2019-01-31 00:19:18,911 : INFO : PROGRESS: pass 0, at document #234000/4922894\n", + "2019-01-31 00:19:20,383 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:20,648 : INFO : topic #28 (0.020): 0.027*\"build\" + 0.024*\"hous\" + 0.020*\"rivièr\" + 0.016*\"buford\" + 0.012*\"histor\" + 0.011*\"constitut\" + 0.011*\"rosenwald\" + 0.010*\"briarwood\" + 0.009*\"strategist\" + 0.009*\"lobe\"\n", + "2019-01-31 00:19:20,649 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"cytokin\" + 0.007*\"frontal\" + 0.007*\"measur\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"utopian\" + 0.006*\"servitud\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:19:20,651 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.027*\"factor\" + 0.022*\"adulthood\" + 0.017*\"hostil\" + 0.015*\"feel\" + 0.013*\"male\" + 0.012*\"live\" + 0.011*\"genu\" + 0.010*\"plaisir\" + 0.010*\"popolo\"\n", + "2019-01-31 00:19:20,652 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.006*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"blue\" + 0.004*\"bewild\" + 0.004*\"litig\" + 0.004*\"todd\" + 0.004*\"introductori\" + 0.004*\"christma\"\n", + "2019-01-31 00:19:20,654 : INFO : topic #39 (0.020): 0.033*\"taxpay\" + 0.028*\"scientist\" + 0.026*\"canada\" + 0.023*\"clot\" + 0.022*\"canadian\" + 0.017*\"basketbal\" + 0.014*\"hoar\" + 0.012*\"confer\" + 0.011*\"toronto\" + 0.011*\"yawn\"\n", + "2019-01-31 00:19:20,659 : INFO : topic diff=0.026623, rho=0.092450\n", + "2019-01-31 00:19:20,814 : INFO : PROGRESS: pass 0, at document #236000/4922894\n", + "2019-01-31 00:19:22,300 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:22,566 : INFO : topic #35 (0.020): 0.045*\"russia\" + 0.035*\"sovereignti\" + 0.028*\"rural\" + 0.023*\"personifi\" + 0.022*\"reprint\" + 0.022*\"poison\" + 0.018*\"moscow\" + 0.018*\"unfortun\" + 0.014*\"shirin\" + 0.013*\"intern\"\n", + "2019-01-31 00:19:22,567 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.006*\"gestur\" + 0.005*\"man\" + 0.005*\"blue\" + 0.005*\"night\" + 0.004*\"bewild\" + 0.004*\"litig\" + 0.004*\"todd\" + 0.004*\"christma\" + 0.004*\"dai\"\n", + "2019-01-31 00:19:22,568 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.044*\"arsen\" + 0.038*\"line\" + 0.032*\"raid\" + 0.031*\"museo\" + 0.020*\"pain\" + 0.019*\"word\" + 0.019*\"traceabl\" + 0.017*\"artist\" + 0.017*\"serv\"\n", + "2019-01-31 00:19:22,569 : INFO : topic #15 (0.020): 0.014*\"develop\" + 0.012*\"requir\" + 0.012*\"small\" + 0.010*\"cultur\" + 0.010*\"word\" + 0.009*\"organ\" + 0.009*\"student\" + 0.008*\"socialist\" + 0.008*\"commun\" + 0.008*\"human\"\n", + "2019-01-31 00:19:22,571 : INFO : topic #48 (0.020): 0.083*\"octob\" + 0.083*\"march\" + 0.081*\"sens\" + 0.078*\"juli\" + 0.077*\"januari\" + 0.076*\"august\" + 0.076*\"april\" + 0.076*\"notion\" + 0.075*\"judici\" + 0.072*\"decatur\"\n", + "2019-01-31 00:19:22,577 : INFO : topic diff=0.027172, rho=0.092057\n", + "2019-01-31 00:19:22,732 : INFO : PROGRESS: pass 0, at document #238000/4922894\n", + "2019-01-31 00:19:24,220 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:24,486 : INFO : topic #20 (0.020): 0.125*\"scholar\" + 0.035*\"struggl\" + 0.029*\"high\" + 0.028*\"educ\" + 0.018*\"yawn\" + 0.016*\"collector\" + 0.014*\"prognosi\" + 0.008*\"task\" + 0.008*\"class\" + 0.008*\"gothic\"\n", + "2019-01-31 00:19:24,487 : INFO : topic #33 (0.020): 0.057*\"french\" + 0.045*\"franc\" + 0.028*\"pari\" + 0.026*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.011*\"wreath\" + 0.010*\"loui\"\n", + "2019-01-31 00:19:24,488 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.006*\"kill\" + 0.006*\"man\" + 0.006*\"sack\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.004*\"fraud\" + 0.004*\"help\"\n", + "2019-01-31 00:19:24,490 : INFO : topic #9 (0.020): 0.080*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.018*\"player\" + 0.018*\"polit\" + 0.016*\"folei\" + 0.016*\"english\" + 0.015*\"dutch\" + 0.012*\"simpler\" + 0.012*\"wedg\"\n", + "2019-01-31 00:19:24,491 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.014*\"king\" + 0.011*\"battalion\" + 0.009*\"aza\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.008*\"embassi\" + 0.007*\"centuri\" + 0.007*\"armi\" + 0.007*\"teufel\"\n", + "2019-01-31 00:19:24,497 : INFO : topic diff=0.027511, rho=0.091670\n", + "2019-01-31 00:19:27,254 : INFO : -11.718 per-word bound, 3369.6 perplexity estimate based on a held-out corpus of 2000 documents with 540188 words\n", + "2019-01-31 00:19:27,254 : INFO : PROGRESS: pass 0, at document #240000/4922894\n", + "2019-01-31 00:19:28,723 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:28,988 : INFO : topic #28 (0.020): 0.028*\"build\" + 0.023*\"hous\" + 0.019*\"rivièr\" + 0.016*\"buford\" + 0.012*\"histor\" + 0.011*\"constitut\" + 0.010*\"rosenwald\" + 0.009*\"briarwood\" + 0.009*\"lobe\" + 0.009*\"silicon\"\n", + "2019-01-31 00:19:28,990 : INFO : topic #26 (0.020): 0.033*\"woman\" + 0.031*\"workplac\" + 0.031*\"champion\" + 0.026*\"medal\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.020*\"event\" + 0.019*\"alic\" + 0.019*\"atheist\" + 0.018*\"gold\"\n", + "2019-01-31 00:19:28,991 : INFO : topic #46 (0.020): 0.023*\"wind\" + 0.020*\"damag\" + 0.019*\"sweden\" + 0.019*\"norwai\" + 0.017*\"norwegian\" + 0.015*\"swedish\" + 0.014*\"stop\" + 0.010*\"turkei\" + 0.010*\"farid\" + 0.009*\"caus\"\n", + "2019-01-31 00:19:28,992 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"deal\" + 0.013*\"faster\" + 0.012*\"life\" + 0.012*\"bone\" + 0.011*\"john\"\n", + "2019-01-31 00:19:28,993 : INFO : topic #9 (0.020): 0.078*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.019*\"polit\" + 0.018*\"player\" + 0.017*\"folei\" + 0.015*\"english\" + 0.015*\"dutch\" + 0.012*\"wedg\" + 0.012*\"simpler\"\n", + "2019-01-31 00:19:28,999 : INFO : topic diff=0.024902, rho=0.091287\n", + "2019-01-31 00:19:29,152 : INFO : PROGRESS: pass 0, at document #242000/4922894\n", + "2019-01-31 00:19:30,604 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:30,871 : INFO : topic #15 (0.020): 0.014*\"develop\" + 0.012*\"requir\" + 0.012*\"small\" + 0.010*\"cultur\" + 0.010*\"word\" + 0.009*\"organ\" + 0.009*\"student\" + 0.009*\"commun\" + 0.008*\"human\" + 0.008*\"socialist\"\n", + "2019-01-31 00:19:30,872 : INFO : topic #35 (0.020): 0.045*\"russia\" + 0.035*\"sovereignti\" + 0.027*\"rural\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.017*\"moscow\" + 0.017*\"unfortun\" + 0.015*\"shirin\" + 0.013*\"intern\"\n", + "2019-01-31 00:19:30,873 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.025*\"final\" + 0.024*\"wife\" + 0.017*\"champion\" + 0.017*\"tourist\" + 0.017*\"martin\" + 0.015*\"chamber\" + 0.014*\"poet\" + 0.014*\"open\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:19:30,875 : INFO : topic #1 (0.020): 0.055*\"chilton\" + 0.050*\"china\" + 0.027*\"hong\" + 0.027*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"leah\" + 0.012*\"levinson\"\n", + "2019-01-31 00:19:30,876 : INFO : topic #17 (0.020): 0.056*\"church\" + 0.021*\"jpg\" + 0.020*\"fifteenth\" + 0.017*\"christian\" + 0.017*\"cathol\" + 0.016*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"centuri\" + 0.014*\"italian\" + 0.013*\"sail\"\n", + "2019-01-31 00:19:30,882 : INFO : topic diff=0.025514, rho=0.090909\n", + "2019-01-31 00:19:31,030 : INFO : PROGRESS: pass 0, at document #244000/4922894\n", + "2019-01-31 00:19:32,472 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:32,738 : INFO : topic #42 (0.020): 0.042*\"german\" + 0.025*\"germani\" + 0.014*\"israel\" + 0.013*\"vol\" + 0.012*\"berlin\" + 0.012*\"der\" + 0.010*\"jewish\" + 0.009*\"isra\" + 0.008*\"greek\" + 0.008*\"austria\"\n", + "2019-01-31 00:19:32,739 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.014*\"jame\" + 0.012*\"rival\" + 0.011*\"david\" + 0.011*\"georg\" + 0.010*\"slur\" + 0.009*\"mexican–american\" + 0.009*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:19:32,740 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.027*\"cortic\" + 0.020*\"start\" + 0.018*\"ricardo\" + 0.016*\"act\" + 0.014*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.008*\"unionist\"\n", + "2019-01-31 00:19:32,741 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.006*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"blue\" + 0.004*\"litig\" + 0.004*\"bewild\" + 0.004*\"todd\" + 0.003*\"introductori\" + 0.003*\"dai\"\n", + "2019-01-31 00:19:32,742 : INFO : topic #36 (0.020): 0.028*\"companhia\" + 0.010*\"develop\" + 0.010*\"serv\" + 0.009*\"manag\" + 0.009*\"market\" + 0.008*\"oper\" + 0.008*\"includ\" + 0.008*\"produc\" + 0.008*\"busi\" + 0.008*\"prognosi\"\n", + "2019-01-31 00:19:32,748 : INFO : topic diff=0.027092, rho=0.090536\n", + "2019-01-31 00:19:32,902 : INFO : PROGRESS: pass 0, at document #246000/4922894\n", + "2019-01-31 00:19:34,363 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:34,630 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.024*\"player\" + 0.018*\"place\" + 0.018*\"scientist\" + 0.016*\"taxpay\" + 0.011*\"leagu\" + 0.011*\"yard\" + 0.010*\"folei\" + 0.010*\"ruler\" + 0.009*\"barber\"\n", + "2019-01-31 00:19:34,631 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.021*\"adulthood\" + 0.016*\"hostil\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.010*\"popolo\" + 0.009*\"genu\"\n", + "2019-01-31 00:19:34,632 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.030*\"collector\" + 0.019*\"institut\" + 0.018*\"schuster\" + 0.015*\"student\" + 0.014*\"professor\" + 0.014*\"requir\" + 0.012*\"governor\" + 0.012*\"http\" + 0.011*\"word\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:19:34,633 : INFO : topic #16 (0.020): 0.029*\"priest\" + 0.021*\"duke\" + 0.019*\"king\" + 0.019*\"quarterli\" + 0.017*\"maria\" + 0.016*\"grammat\" + 0.014*\"rotterdam\" + 0.013*\"princ\" + 0.013*\"portrait\" + 0.013*\"portugues\"\n", + "2019-01-31 00:19:34,635 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.034*\"leagu\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:19:34,641 : INFO : topic diff=0.026266, rho=0.090167\n", + "2019-01-31 00:19:34,790 : INFO : PROGRESS: pass 0, at document #248000/4922894\n", + "2019-01-31 00:19:36,215 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:36,481 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:19:36,482 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.044*\"cotton\" + 0.029*\"unionist\" + 0.022*\"american\" + 0.017*\"toni\" + 0.015*\"new\" + 0.014*\"terri\" + 0.014*\"california\" + 0.012*\"warrior\" + 0.011*\"north\"\n", + "2019-01-31 00:19:36,483 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.034*\"leagu\" + 0.028*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:19:36,484 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.026*\"cortic\" + 0.020*\"start\" + 0.017*\"ricardo\" + 0.016*\"act\" + 0.015*\"case\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.008*\"judaism\" + 0.008*\"unionist\"\n", + "2019-01-31 00:19:36,485 : INFO : topic #17 (0.020): 0.058*\"church\" + 0.020*\"jpg\" + 0.019*\"fifteenth\" + 0.018*\"cathol\" + 0.018*\"bishop\" + 0.017*\"christian\" + 0.015*\"retroflex\" + 0.015*\"centuri\" + 0.014*\"italian\" + 0.014*\"sail\"\n", + "2019-01-31 00:19:36,491 : INFO : topic diff=0.026258, rho=0.089803\n", + "2019-01-31 00:19:36,649 : INFO : PROGRESS: pass 0, at document #250000/4922894\n", + "2019-01-31 00:19:38,146 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:38,412 : INFO : topic #1 (0.020): 0.054*\"chilton\" + 0.051*\"china\" + 0.025*\"hong\" + 0.025*\"kong\" + 0.022*\"korean\" + 0.022*\"korea\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.013*\"leah\" + 0.012*\"taiwan\"\n", + "2019-01-31 00:19:38,413 : INFO : topic #28 (0.020): 0.028*\"build\" + 0.023*\"rivièr\" + 0.023*\"hous\" + 0.016*\"buford\" + 0.011*\"histor\" + 0.011*\"constitut\" + 0.011*\"rosenwald\" + 0.010*\"briarwood\" + 0.009*\"strategist\" + 0.009*\"lobe\"\n", + "2019-01-31 00:19:38,414 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.041*\"arsen\" + 0.038*\"line\" + 0.033*\"raid\" + 0.031*\"museo\" + 0.020*\"pain\" + 0.019*\"traceabl\" + 0.018*\"word\" + 0.017*\"serv\" + 0.016*\"artist\"\n", + "2019-01-31 00:19:38,416 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.036*\"shield\" + 0.018*\"narrat\" + 0.016*\"blur\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.010*\"sai\" + 0.010*\"fleet\" + 0.009*\"coalit\"\n", + "2019-01-31 00:19:38,417 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.024*\"spain\" + 0.017*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.013*\"lizard\" + 0.012*\"juan\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"josé\"\n", + "2019-01-31 00:19:38,423 : INFO : topic diff=0.026226, rho=0.089443\n", + "2019-01-31 00:19:38,578 : INFO : PROGRESS: pass 0, at document #252000/4922894\n", + "2019-01-31 00:19:40,049 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:40,315 : INFO : topic #48 (0.020): 0.076*\"march\" + 0.075*\"sens\" + 0.075*\"octob\" + 0.071*\"januari\" + 0.071*\"juli\" + 0.070*\"august\" + 0.070*\"notion\" + 0.069*\"decatur\" + 0.067*\"judici\" + 0.066*\"april\"\n", + "2019-01-31 00:19:40,316 : INFO : topic #19 (0.020): 0.009*\"origin\" + 0.009*\"charact\" + 0.009*\"form\" + 0.008*\"woodcut\" + 0.008*\"like\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"god\" + 0.007*\"languag\" + 0.006*\"dynam\"\n", + "2019-01-31 00:19:40,318 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.015*\"hostil\" + 0.015*\"feel\" + 0.013*\"male\" + 0.012*\"genu\" + 0.011*\"plaisir\" + 0.010*\"live\" + 0.010*\"popolo\"\n", + "2019-01-31 00:19:40,319 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.019*\"warmth\" + 0.015*\"mount\" + 0.015*\"lagrang\" + 0.014*\"area\" + 0.008*\"land\" + 0.008*\"firm\" + 0.008*\"north\" + 0.007*\"vacant\" + 0.007*\"foam\"\n", + "2019-01-31 00:19:40,320 : INFO : topic #13 (0.020): 0.029*\"australia\" + 0.028*\"sourc\" + 0.024*\"new\" + 0.024*\"australian\" + 0.022*\"england\" + 0.021*\"london\" + 0.017*\"youth\" + 0.016*\"ireland\" + 0.016*\"british\" + 0.015*\"wale\"\n", + "2019-01-31 00:19:40,326 : INFO : topic diff=0.024678, rho=0.089087\n", + "2019-01-31 00:19:40,540 : INFO : PROGRESS: pass 0, at document #254000/4922894\n", + "2019-01-31 00:19:42,027 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:42,293 : INFO : topic #28 (0.020): 0.028*\"build\" + 0.023*\"rivièr\" + 0.023*\"hous\" + 0.016*\"buford\" + 0.012*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"rosenwald\" + 0.009*\"strategist\" + 0.009*\"lobe\"\n", + "2019-01-31 00:19:42,294 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.041*\"cotton\" + 0.029*\"unionist\" + 0.022*\"american\" + 0.015*\"new\" + 0.015*\"california\" + 0.014*\"terri\" + 0.014*\"toni\" + 0.012*\"warrior\" + 0.011*\"north\"\n", + "2019-01-31 00:19:42,295 : INFO : topic #6 (0.020): 0.067*\"fewer\" + 0.024*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:19:42,296 : INFO : topic #19 (0.020): 0.009*\"origin\" + 0.009*\"charact\" + 0.009*\"form\" + 0.009*\"woodcut\" + 0.008*\"like\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"god\" + 0.007*\"dynam\" + 0.007*\"languag\"\n", + "2019-01-31 00:19:42,298 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.006*\"sack\" + 0.006*\"man\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.004*\"deal\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:19:42,304 : INFO : topic diff=0.023731, rho=0.088736\n", + "2019-01-31 00:19:42,463 : INFO : PROGRESS: pass 0, at document #256000/4922894\n", + "2019-01-31 00:19:43,952 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:44,218 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.025*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.011*\"genu\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.010*\"popolo\"\n", + "2019-01-31 00:19:44,219 : INFO : topic #42 (0.020): 0.040*\"german\" + 0.026*\"germani\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.012*\"berlin\" + 0.011*\"vol\" + 0.011*\"der\" + 0.008*\"isra\" + 0.008*\"anglo\" + 0.008*\"jeremiah\"\n", + "2019-01-31 00:19:44,221 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.019*\"western\" + 0.015*\"colder\" + 0.013*\"record\" + 0.011*\"blind\" + 0.009*\"light\" + 0.009*\"green\" + 0.007*\"arm\" + 0.006*\"illicit\" + 0.006*\"hand\"\n", + "2019-01-31 00:19:44,222 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.015*\"mount\" + 0.015*\"area\" + 0.008*\"land\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"firm\" + 0.007*\"vacant\"\n", + "2019-01-31 00:19:44,223 : INFO : topic #8 (0.020): 0.030*\"law\" + 0.026*\"cortic\" + 0.020*\"start\" + 0.017*\"act\" + 0.016*\"ricardo\" + 0.014*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"judaism\" + 0.008*\"justic\"\n", + "2019-01-31 00:19:44,229 : INFO : topic diff=0.026460, rho=0.088388\n", + "2019-01-31 00:19:44,385 : INFO : PROGRESS: pass 0, at document #258000/4922894\n", + "2019-01-31 00:19:45,867 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:46,133 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.015*\"area\" + 0.015*\"mount\" + 0.008*\"land\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"firm\" + 0.007*\"vacant\"\n", + "2019-01-31 00:19:46,134 : INFO : topic #47 (0.020): 0.068*\"muscl\" + 0.036*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.018*\"damn\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:19:46,136 : INFO : topic #46 (0.020): 0.018*\"wind\" + 0.018*\"norwai\" + 0.016*\"stop\" + 0.016*\"sweden\" + 0.015*\"norwegian\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.011*\"turkish\" + 0.011*\"turkei\" + 0.010*\"financ\"\n", + "2019-01-31 00:19:46,137 : INFO : topic #41 (0.020): 0.050*\"citi\" + 0.036*\"new\" + 0.028*\"palmer\" + 0.021*\"year\" + 0.017*\"center\" + 0.015*\"strategist\" + 0.011*\"open\" + 0.010*\"hot\" + 0.009*\"includ\" + 0.009*\"lobe\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:19:46,137 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.042*\"arsen\" + 0.037*\"line\" + 0.033*\"raid\" + 0.031*\"museo\" + 0.021*\"pain\" + 0.019*\"traceabl\" + 0.019*\"word\" + 0.016*\"serv\" + 0.016*\"artist\"\n", + "2019-01-31 00:19:46,143 : INFO : topic diff=0.026356, rho=0.088045\n", + "2019-01-31 00:19:48,892 : INFO : -11.654 per-word bound, 3222.2 perplexity estimate based on a held-out corpus of 2000 documents with 531693 words\n", + "2019-01-31 00:19:48,892 : INFO : PROGRESS: pass 0, at document #260000/4922894\n", + "2019-01-31 00:19:50,365 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:50,631 : INFO : topic #31 (0.020): 0.066*\"fusiform\" + 0.025*\"player\" + 0.020*\"place\" + 0.019*\"scientist\" + 0.016*\"taxpay\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"ruler\" + 0.010*\"yard\" + 0.008*\"barber\"\n", + "2019-01-31 00:19:50,633 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.024*\"spain\" + 0.018*\"mexico\" + 0.017*\"del\" + 0.015*\"soviet\" + 0.012*\"lizard\" + 0.012*\"santa\" + 0.011*\"josé\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 00:19:50,634 : INFO : topic #17 (0.020): 0.058*\"church\" + 0.019*\"jpg\" + 0.019*\"fifteenth\" + 0.018*\"christian\" + 0.017*\"bishop\" + 0.017*\"cathol\" + 0.016*\"centuri\" + 0.014*\"retroflex\" + 0.013*\"sail\" + 0.013*\"italian\"\n", + "2019-01-31 00:19:50,635 : INFO : topic #7 (0.020): 0.019*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.014*\"margin\" + 0.012*\"deal\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"bone\" + 0.011*\"john\"\n", + "2019-01-31 00:19:50,636 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.058*\"parti\" + 0.031*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.018*\"polici\" + 0.016*\"liber\" + 0.016*\"bypass\" + 0.014*\"republ\" + 0.013*\"selma\"\n", + "2019-01-31 00:19:50,642 : INFO : topic diff=0.023684, rho=0.087706\n", + "2019-01-31 00:19:50,796 : INFO : PROGRESS: pass 0, at document #262000/4922894\n", + "2019-01-31 00:19:52,252 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:52,518 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.029*\"incumb\" + 0.013*\"televis\" + 0.012*\"pakistan\" + 0.011*\"islam\" + 0.011*\"khalsa\" + 0.010*\"sri\" + 0.009*\"start\" + 0.009*\"alam\" + 0.009*\"muskoge\"\n", + "2019-01-31 00:19:52,520 : INFO : topic #6 (0.020): 0.066*\"fewer\" + 0.024*\"septemb\" + 0.021*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:19:52,522 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.014*\"area\" + 0.014*\"mount\" + 0.008*\"north\" + 0.008*\"land\" + 0.007*\"firm\" + 0.007*\"foam\" + 0.007*\"vacant\"\n", + "2019-01-31 00:19:52,522 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.023*\"seri\" + 0.018*\"gener\" + 0.018*\"member\" + 0.016*\"chickasaw\" + 0.016*\"serv\" + 0.015*\"appeas\" + 0.012*\"secess\"\n", + "2019-01-31 00:19:52,523 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.011*\"start\" + 0.009*\"replac\" + 0.008*\"countri\" + 0.008*\"yawn\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"new\" + 0.006*\"placement\" + 0.006*\"summerhil\"\n", + "2019-01-31 00:19:52,529 : INFO : topic diff=0.022696, rho=0.087370\n", + "2019-01-31 00:19:52,683 : INFO : PROGRESS: pass 0, at document #264000/4922894\n", + "2019-01-31 00:19:54,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:54,410 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.012*\"candid\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.008*\"veget\" + 0.007*\"mandir\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:19:54,411 : INFO : topic #32 (0.020): 0.064*\"district\" + 0.051*\"vigour\" + 0.046*\"tortur\" + 0.042*\"popolo\" + 0.029*\"regim\" + 0.027*\"area\" + 0.025*\"multitud\" + 0.023*\"cotton\" + 0.020*\"commun\" + 0.019*\"prosper\"\n", + "2019-01-31 00:19:54,411 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"arsen\" + 0.039*\"line\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.019*\"pain\" + 0.019*\"word\" + 0.018*\"traceabl\" + 0.017*\"serv\" + 0.016*\"artist\"\n", + "2019-01-31 00:19:54,413 : INFO : topic #39 (0.020): 0.032*\"taxpay\" + 0.028*\"canada\" + 0.027*\"scientist\" + 0.023*\"canadian\" + 0.021*\"clot\" + 0.016*\"basketbal\" + 0.015*\"hoar\" + 0.013*\"toronto\" + 0.013*\"confer\" + 0.011*\"ontario\"\n", + "2019-01-31 00:19:54,414 : INFO : topic #30 (0.020): 0.034*\"leagu\" + 0.034*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.016*\"martin\" + 0.016*\"goal\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:19:54,420 : INFO : topic diff=0.022069, rho=0.087039\n", + "2019-01-31 00:19:54,575 : INFO : PROGRESS: pass 0, at document #266000/4922894\n", + "2019-01-31 00:19:56,039 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:56,304 : INFO : topic #16 (0.020): 0.031*\"priest\" + 0.022*\"king\" + 0.022*\"duke\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"maria\" + 0.015*\"rotterdam\" + 0.014*\"princ\" + 0.012*\"idiosyncrat\" + 0.012*\"order\"\n", + "2019-01-31 00:19:56,305 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.020*\"word\" + 0.016*\"new\" + 0.014*\"storag\" + 0.014*\"edit\" + 0.012*\"presid\" + 0.012*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 00:19:56,307 : INFO : topic #31 (0.020): 0.069*\"fusiform\" + 0.027*\"player\" + 0.021*\"place\" + 0.018*\"scientist\" + 0.016*\"taxpay\" + 0.011*\"leagu\" + 0.011*\"folei\" + 0.010*\"ruler\" + 0.009*\"yard\" + 0.009*\"barber\"\n", + "2019-01-31 00:19:56,308 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"airmen\"\n", + "2019-01-31 00:19:56,309 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.042*\"arsen\" + 0.039*\"line\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.019*\"pain\" + 0.018*\"word\" + 0.018*\"traceabl\" + 0.017*\"serv\" + 0.017*\"artist\"\n", + "2019-01-31 00:19:56,315 : INFO : topic diff=0.021942, rho=0.086711\n", + "2019-01-31 00:19:56,469 : INFO : PROGRESS: pass 0, at document #268000/4922894\n", + "2019-01-31 00:19:57,926 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:19:58,192 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.017*\"wind\" + 0.017*\"norwai\" + 0.016*\"sweden\" + 0.014*\"damag\" + 0.014*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"turkish\" + 0.012*\"turkei\" + 0.010*\"wavi\"\n", + "2019-01-31 00:19:58,193 : INFO : topic #32 (0.020): 0.063*\"district\" + 0.049*\"vigour\" + 0.046*\"tortur\" + 0.043*\"popolo\" + 0.028*\"regim\" + 0.027*\"area\" + 0.025*\"multitud\" + 0.023*\"cotton\" + 0.020*\"commun\" + 0.019*\"citi\"\n", + "2019-01-31 00:19:58,195 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.011*\"start\" + 0.008*\"replac\" + 0.007*\"countri\" + 0.007*\"yawn\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"summerhil\" + 0.006*\"new\" + 0.006*\"théori\"\n", + "2019-01-31 00:19:58,196 : INFO : topic #6 (0.020): 0.064*\"fewer\" + 0.024*\"septemb\" + 0.021*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:19:58,198 : INFO : topic #17 (0.020): 0.062*\"church\" + 0.020*\"jpg\" + 0.020*\"fifteenth\" + 0.018*\"christian\" + 0.017*\"cathol\" + 0.017*\"bishop\" + 0.016*\"centuri\" + 0.015*\"retroflex\" + 0.013*\"italian\" + 0.013*\"sail\"\n", + "2019-01-31 00:19:58,204 : INFO : topic diff=0.021961, rho=0.086387\n", + "2019-01-31 00:19:58,357 : INFO : PROGRESS: pass 0, at document #270000/4922894\n", + "2019-01-31 00:19:59,816 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:00,082 : INFO : topic #15 (0.020): 0.014*\"develop\" + 0.012*\"requir\" + 0.011*\"small\" + 0.010*\"cultur\" + 0.010*\"word\" + 0.009*\"organ\" + 0.009*\"student\" + 0.009*\"commun\" + 0.008*\"human\" + 0.008*\"socialist\"\n", + "2019-01-31 00:20:00,083 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.007*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"blue\" + 0.004*\"bewild\" + 0.004*\"litig\" + 0.004*\"christma\" + 0.003*\"dai\" + 0.003*\"introductori\"\n", + "2019-01-31 00:20:00,085 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.020*\"word\" + 0.016*\"new\" + 0.014*\"storag\" + 0.013*\"edit\" + 0.012*\"presid\" + 0.012*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 00:20:00,086 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.031*\"woman\" + 0.029*\"champion\" + 0.024*\"olymp\" + 0.024*\"medal\" + 0.023*\"event\" + 0.023*\"men\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.017*\"nation\"\n", + "2019-01-31 00:20:00,087 : INFO : topic #8 (0.020): 0.032*\"act\" + 0.030*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.014*\"ricardo\" + 0.014*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.007*\"justic\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:20:00,093 : INFO : topic diff=0.021281, rho=0.086066\n", + "2019-01-31 00:20:00,248 : INFO : PROGRESS: pass 0, at document #272000/4922894\n", + "2019-01-31 00:20:01,730 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:01,996 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.018*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"area\" + 0.014*\"mount\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"north\" + 0.007*\"firm\" + 0.007*\"lobe\"\n", + "2019-01-31 00:20:01,997 : INFO : topic #35 (0.020): 0.046*\"russia\" + 0.034*\"sovereignti\" + 0.026*\"rural\" + 0.024*\"poison\" + 0.023*\"personifi\" + 0.023*\"reprint\" + 0.016*\"unfortun\" + 0.016*\"moscow\" + 0.015*\"malaysia\" + 0.014*\"tyrant\"\n", + "2019-01-31 00:20:01,998 : INFO : topic #3 (0.020): 0.039*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.024*\"seri\" + 0.018*\"gener\" + 0.017*\"chickasaw\" + 0.017*\"member\" + 0.016*\"appeas\" + 0.015*\"serv\" + 0.012*\"gov\"\n", + "2019-01-31 00:20:01,999 : INFO : topic #42 (0.020): 0.037*\"german\" + 0.026*\"germani\" + 0.014*\"jewish\" + 0.013*\"israel\" + 0.011*\"vol\" + 0.011*\"der\" + 0.010*\"berlin\" + 0.009*\"greek\" + 0.008*\"austria\" + 0.008*\"europ\"\n", + "2019-01-31 00:20:02,000 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.014*\"margin\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"john\" + 0.012*\"deal\" + 0.011*\"bone\"\n", + "2019-01-31 00:20:02,006 : INFO : topic diff=0.021751, rho=0.085749\n", + "2019-01-31 00:20:02,164 : INFO : PROGRESS: pass 0, at document #274000/4922894\n", + "2019-01-31 00:20:03,647 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:03,912 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"southern\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"cytokin\" + 0.006*\"servitud\" + 0.006*\"measur\"\n", + "2019-01-31 00:20:03,914 : INFO : topic #47 (0.020): 0.069*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:20:03,915 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.029*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.015*\"loui\" + 0.014*\"lazi\" + 0.013*\"wreath\" + 0.011*\"piec\"\n", + "2019-01-31 00:20:03,916 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.031*\"woman\" + 0.029*\"champion\" + 0.024*\"olymp\" + 0.023*\"event\" + 0.023*\"medal\" + 0.023*\"men\" + 0.018*\"atheist\" + 0.018*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 00:20:03,917 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.025*\"new\" + 0.023*\"london\" + 0.023*\"australian\" + 0.021*\"england\" + 0.020*\"ireland\" + 0.017*\"british\" + 0.015*\"wale\" + 0.015*\"youth\"\n", + "2019-01-31 00:20:03,923 : INFO : topic diff=0.024724, rho=0.085436\n", + "2019-01-31 00:20:04,074 : INFO : PROGRESS: pass 0, at document #276000/4922894\n", + "2019-01-31 00:20:05,524 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:05,790 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"cytokin\" + 0.006*\"servitud\" + 0.006*\"measur\"\n", + "2019-01-31 00:20:05,791 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.011*\"start\" + 0.008*\"replac\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"summerhil\" + 0.006*\"new\" + 0.006*\"placement\"\n", + "2019-01-31 00:20:05,792 : INFO : topic #26 (0.020): 0.031*\"woman\" + 0.031*\"workplac\" + 0.028*\"champion\" + 0.023*\"event\" + 0.023*\"olymp\" + 0.023*\"men\" + 0.023*\"medal\" + 0.019*\"atheist\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 00:20:05,794 : INFO : topic #37 (0.020): 0.008*\"love\" + 0.007*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.005*\"blue\" + 0.004*\"christma\" + 0.004*\"sene\" + 0.004*\"bewild\" + 0.004*\"litig\" + 0.003*\"introductori\"\n", + "2019-01-31 00:20:05,794 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.043*\"new\" + 0.027*\"palmer\" + 0.027*\"year\" + 0.017*\"center\" + 0.016*\"strategist\" + 0.011*\"open\" + 0.009*\"hot\" + 0.009*\"lobe\" + 0.009*\"includ\"\n", + "2019-01-31 00:20:05,800 : INFO : topic diff=0.023910, rho=0.085126\n", + "2019-01-31 00:20:05,955 : INFO : PROGRESS: pass 0, at document #278000/4922894\n", + "2019-01-31 00:20:07,413 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:07,679 : INFO : topic #17 (0.020): 0.063*\"church\" + 0.021*\"jpg\" + 0.019*\"fifteenth\" + 0.017*\"cathol\" + 0.017*\"bishop\" + 0.017*\"christian\" + 0.016*\"centuri\" + 0.015*\"retroflex\" + 0.012*\"italian\" + 0.012*\"sail\"\n", + "2019-01-31 00:20:07,681 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"disco\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:20:07,682 : INFO : topic #43 (0.020): 0.067*\"parti\" + 0.061*\"elect\" + 0.027*\"voluntari\" + 0.025*\"democrat\" + 0.022*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.015*\"tendenc\" + 0.015*\"report\" + 0.014*\"liber\"\n", + "2019-01-31 00:20:07,683 : INFO : topic #36 (0.020): 0.027*\"companhia\" + 0.010*\"develop\" + 0.009*\"serv\" + 0.009*\"market\" + 0.008*\"prognosi\" + 0.008*\"manag\" + 0.008*\"network\" + 0.008*\"produc\" + 0.008*\"oper\" + 0.008*\"includ\"\n", + "2019-01-31 00:20:07,684 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.014*\"margin\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"john\" + 0.012*\"bone\"\n", + "2019-01-31 00:20:07,690 : INFO : topic diff=0.023322, rho=0.084819\n", + "2019-01-31 00:20:10,404 : INFO : -11.715 per-word bound, 3361.4 perplexity estimate based on a held-out corpus of 2000 documents with 523660 words\n", + "2019-01-31 00:20:10,405 : INFO : PROGRESS: pass 0, at document #280000/4922894\n", + "2019-01-31 00:20:11,850 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:12,116 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"disco\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 00:20:12,117 : INFO : topic #42 (0.020): 0.038*\"german\" + 0.026*\"germani\" + 0.015*\"jewish\" + 0.013*\"vol\" + 0.012*\"israel\" + 0.012*\"der\" + 0.011*\"berlin\" + 0.011*\"greek\" + 0.009*\"austria\" + 0.008*\"albanian\"\n", + "2019-01-31 00:20:12,118 : INFO : topic #12 (0.020): 0.008*\"gener\" + 0.007*\"number\" + 0.007*\"frontal\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"cytokin\" + 0.006*\"servitud\"\n", + "2019-01-31 00:20:12,120 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.006*\"kill\" + 0.006*\"man\" + 0.006*\"sack\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.004*\"life\" + 0.004*\"help\"\n", + "2019-01-31 00:20:12,121 : INFO : topic #26 (0.020): 0.031*\"woman\" + 0.031*\"workplac\" + 0.029*\"champion\" + 0.024*\"olymp\" + 0.023*\"event\" + 0.023*\"medal\" + 0.023*\"men\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.017*\"nation\"\n", + "2019-01-31 00:20:12,128 : INFO : topic diff=0.020409, rho=0.084515\n", + "2019-01-31 00:20:12,285 : INFO : PROGRESS: pass 0, at document #282000/4922894\n", + "2019-01-31 00:20:13,753 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:14,020 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"disco\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:20:14,021 : INFO : topic #26 (0.020): 0.031*\"woman\" + 0.031*\"workplac\" + 0.029*\"champion\" + 0.024*\"olymp\" + 0.023*\"event\" + 0.023*\"medal\" + 0.022*\"men\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:20:14,022 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.041*\"arsen\" + 0.040*\"line\" + 0.036*\"raid\" + 0.034*\"museo\" + 0.019*\"pain\" + 0.018*\"traceabl\" + 0.017*\"word\" + 0.017*\"serv\" + 0.015*\"artist\"\n", + "2019-01-31 00:20:14,024 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.017*\"taxpay\" + 0.016*\"candid\" + 0.015*\"tornado\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"théori\" + 0.010*\"landslid\" + 0.010*\"ret\"\n", + "2019-01-31 00:20:14,025 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.011*\"televis\" + 0.010*\"pakistan\" + 0.010*\"khalsa\" + 0.010*\"singh\" + 0.010*\"alam\" + 0.010*\"start\" + 0.009*\"muskoge\"\n", + "2019-01-31 00:20:14,031 : INFO : topic diff=0.023625, rho=0.084215\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:20:14,185 : INFO : PROGRESS: pass 0, at document #284000/4922894\n", + "2019-01-31 00:20:15,655 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:15,920 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.014*\"margin\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"bone\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 00:20:15,922 : INFO : topic #42 (0.020): 0.039*\"german\" + 0.026*\"germani\" + 0.015*\"jewish\" + 0.012*\"vol\" + 0.012*\"israel\" + 0.011*\"der\" + 0.011*\"berlin\" + 0.010*\"greek\" + 0.009*\"jeremiah\" + 0.008*\"austria\"\n", + "2019-01-31 00:20:15,923 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.043*\"new\" + 0.026*\"palmer\" + 0.026*\"year\" + 0.016*\"center\" + 0.016*\"strategist\" + 0.011*\"open\" + 0.010*\"hot\" + 0.009*\"includ\" + 0.009*\"lobe\"\n", + "2019-01-31 00:20:15,924 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.040*\"arsen\" + 0.040*\"line\" + 0.037*\"raid\" + 0.034*\"museo\" + 0.019*\"pain\" + 0.018*\"traceabl\" + 0.017*\"word\" + 0.017*\"serv\" + 0.015*\"artist\"\n", + "2019-01-31 00:20:15,925 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.028*\"reconstruct\" + 0.023*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:20:15,931 : INFO : topic diff=0.020654, rho=0.083918\n", + "2019-01-31 00:20:16,141 : INFO : PROGRESS: pass 0, at document #286000/4922894\n", + "2019-01-31 00:20:17,634 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:17,900 : INFO : topic #47 (0.020): 0.068*\"muscl\" + 0.037*\"perceptu\" + 0.022*\"damn\" + 0.019*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.015*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:20:17,902 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.016*\"candid\" + 0.016*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"landslid\" + 0.010*\"théori\" + 0.009*\"poti\"\n", + "2019-01-31 00:20:17,903 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.030*\"incumb\" + 0.012*\"islam\" + 0.011*\"televis\" + 0.010*\"pakistan\" + 0.010*\"khalsa\" + 0.010*\"alam\" + 0.010*\"singh\" + 0.010*\"start\" + 0.009*\"muskoge\"\n", + "2019-01-31 00:20:17,904 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.006*\"disco\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"activ\" + 0.006*\"treat\" + 0.006*\"have\"\n", + "2019-01-31 00:20:17,906 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.038*\"cotton\" + 0.029*\"unionist\" + 0.021*\"american\" + 0.016*\"new\" + 0.016*\"terri\" + 0.014*\"california\" + 0.012*\"warrior\" + 0.012*\"north\" + 0.011*\"violent\"\n", + "2019-01-31 00:20:17,911 : INFO : topic diff=0.021162, rho=0.083624\n", + "2019-01-31 00:20:18,069 : INFO : PROGRESS: pass 0, at document #288000/4922894\n", + "2019-01-31 00:20:19,563 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:19,832 : INFO : topic #35 (0.020): 0.051*\"russia\" + 0.035*\"sovereignti\" + 0.028*\"rural\" + 0.024*\"poison\" + 0.024*\"personifi\" + 0.022*\"reprint\" + 0.017*\"moscow\" + 0.016*\"unfortun\" + 0.015*\"tyrant\" + 0.014*\"poland\"\n", + "2019-01-31 00:20:19,833 : INFO : topic #38 (0.020): 0.020*\"walter\" + 0.015*\"king\" + 0.011*\"aza\" + 0.010*\"battalion\" + 0.010*\"teufel\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.007*\"till\" + 0.007*\"centuri\" + 0.007*\"embassi\"\n", + "2019-01-31 00:20:19,834 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.028*\"reconstruct\" + 0.028*\"rel\" + 0.023*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:20:19,835 : INFO : topic #15 (0.020): 0.015*\"develop\" + 0.012*\"requir\" + 0.011*\"small\" + 0.010*\"word\" + 0.010*\"organ\" + 0.010*\"cultur\" + 0.009*\"student\" + 0.009*\"commun\" + 0.008*\"socialist\" + 0.007*\"human\"\n", + "2019-01-31 00:20:19,837 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.063*\"parti\" + 0.026*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.015*\"report\" + 0.015*\"bypass\" + 0.014*\"liber\"\n", + "2019-01-31 00:20:19,843 : INFO : topic diff=0.021270, rho=0.083333\n", + "2019-01-31 00:20:19,997 : INFO : PROGRESS: pass 0, at document #290000/4922894\n", + "2019-01-31 00:20:21,444 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:21,710 : INFO : topic #20 (0.020): 0.129*\"scholar\" + 0.036*\"struggl\" + 0.032*\"high\" + 0.028*\"educ\" + 0.018*\"yawn\" + 0.017*\"collector\" + 0.013*\"prognosi\" + 0.011*\"class\" + 0.009*\"task\" + 0.009*\"pseudo\"\n", + "2019-01-31 00:20:21,711 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.014*\"margin\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"bone\" + 0.011*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 00:20:21,712 : INFO : topic #23 (0.020): 0.131*\"audit\" + 0.068*\"best\" + 0.031*\"jacksonvil\" + 0.029*\"yawn\" + 0.029*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:20:21,713 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.020*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.012*\"storag\" + 0.012*\"presid\" + 0.012*\"worldwid\" + 0.011*\"nicola\" + 0.010*\"magazin\"\n", + "2019-01-31 00:20:21,714 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"london\" + 0.023*\"australian\" + 0.021*\"england\" + 0.021*\"ireland\" + 0.017*\"youth\" + 0.017*\"british\" + 0.015*\"wale\"\n", + "2019-01-31 00:20:21,720 : INFO : topic diff=0.021206, rho=0.083045\n", + "2019-01-31 00:20:21,872 : INFO : PROGRESS: pass 0, at document #292000/4922894\n", + "2019-01-31 00:20:23,337 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:23,604 : INFO : topic #48 (0.020): 0.077*\"octob\" + 0.077*\"march\" + 0.077*\"sens\" + 0.075*\"januari\" + 0.072*\"notion\" + 0.069*\"august\" + 0.068*\"juli\" + 0.067*\"decatur\" + 0.067*\"april\" + 0.067*\"judici\"\n", + "2019-01-31 00:20:23,605 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.046*\"american\" + 0.026*\"valour\" + 0.019*\"player\" + 0.019*\"english\" + 0.018*\"folei\" + 0.016*\"polit\" + 0.015*\"dutch\" + 0.013*\"simpler\" + 0.013*\"acrimoni\"\n", + "2019-01-31 00:20:23,606 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.060*\"parti\" + 0.027*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.015*\"report\" + 0.015*\"bypass\" + 0.014*\"liber\"\n", + "2019-01-31 00:20:23,608 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.028*\"reconstruct\" + 0.028*\"rel\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:20:23,609 : INFO : topic #13 (0.020): 0.029*\"australia\" + 0.026*\"new\" + 0.025*\"sourc\" + 0.024*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.020*\"ireland\" + 0.017*\"youth\" + 0.017*\"british\" + 0.015*\"wale\"\n", + "2019-01-31 00:20:23,614 : INFO : topic diff=0.021090, rho=0.082761\n", + "2019-01-31 00:20:23,770 : INFO : PROGRESS: pass 0, at document #294000/4922894\n", + "2019-01-31 00:20:25,228 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:25,493 : INFO : topic #23 (0.020): 0.130*\"audit\" + 0.066*\"best\" + 0.032*\"jacksonvil\" + 0.031*\"yawn\" + 0.028*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:20:25,495 : INFO : topic #39 (0.020): 0.031*\"taxpay\" + 0.027*\"canada\" + 0.025*\"scientist\" + 0.022*\"clot\" + 0.022*\"canadian\" + 0.016*\"basketbal\" + 0.015*\"hoar\" + 0.015*\"confer\" + 0.013*\"toronto\" + 0.011*\"ontario\"\n", + "2019-01-31 00:20:25,496 : INFO : topic #8 (0.020): 0.031*\"law\" + 0.026*\"cortic\" + 0.026*\"act\" + 0.019*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.008*\"justic\"\n", + "2019-01-31 00:20:25,498 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.017*\"candid\" + 0.017*\"taxpay\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.010*\"théori\" + 0.010*\"ret\" + 0.010*\"landslid\"\n", + "2019-01-31 00:20:25,499 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.014*\"mount\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\" + 0.008*\"north\" + 0.008*\"palmer\"\n", + "2019-01-31 00:20:25,505 : INFO : topic diff=0.020925, rho=0.082479\n", + "2019-01-31 00:20:25,662 : INFO : PROGRESS: pass 0, at document #296000/4922894\n", + "2019-01-31 00:20:27,130 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:20:27,399 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"area\" + 0.014*\"mount\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\" + 0.008*\"north\" + 0.007*\"palmer\"\n", + "2019-01-31 00:20:27,400 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.017*\"taxpay\" + 0.017*\"candid\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"théori\" + 0.010*\"landslid\" + 0.010*\"ret\"\n", + "2019-01-31 00:20:27,402 : INFO : topic #31 (0.020): 0.066*\"fusiform\" + 0.026*\"player\" + 0.021*\"place\" + 0.018*\"scientist\" + 0.016*\"taxpay\" + 0.011*\"leagu\" + 0.011*\"folei\" + 0.009*\"yard\" + 0.009*\"ruler\" + 0.008*\"yawn\"\n", + "2019-01-31 00:20:27,403 : INFO : topic #23 (0.020): 0.132*\"audit\" + 0.065*\"best\" + 0.032*\"jacksonvil\" + 0.030*\"yawn\" + 0.028*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:20:27,404 : INFO : topic #1 (0.020): 0.058*\"china\" + 0.053*\"chilton\" + 0.026*\"hong\" + 0.024*\"kong\" + 0.022*\"korean\" + 0.022*\"korea\" + 0.017*\"sourc\" + 0.017*\"leah\" + 0.014*\"kim\" + 0.012*\"levinson\"\n", + "2019-01-31 00:20:27,410 : INFO : topic diff=0.019476, rho=0.082199\n", + "2019-01-31 00:20:27,566 : INFO : PROGRESS: pass 0, at document #298000/4922894\n", + "2019-01-31 00:20:29,018 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:29,284 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.018*\"candid\" + 0.017*\"taxpay\" + 0.014*\"driver\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"théori\" + 0.011*\"find\" + 0.010*\"landslid\" + 0.009*\"ret\"\n", + "2019-01-31 00:20:29,286 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.061*\"parti\" + 0.026*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.019*\"polici\" + 0.016*\"republ\" + 0.015*\"bypass\" + 0.015*\"report\" + 0.014*\"seaport\"\n", + "2019-01-31 00:20:29,287 : INFO : topic #19 (0.020): 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"charact\" + 0.008*\"form\" + 0.008*\"languag\" + 0.008*\"god\" + 0.008*\"like\" + 0.008*\"uruguayan\" + 0.007*\"mean\" + 0.006*\"differ\"\n", + "2019-01-31 00:20:29,288 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.010*\"start\" + 0.008*\"replac\" + 0.007*\"yawn\" + 0.007*\"countri\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"new\" + 0.006*\"théori\" + 0.006*\"summerhil\"\n", + "2019-01-31 00:20:29,289 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.076*\"januari\" + 0.072*\"notion\" + 0.071*\"juli\" + 0.070*\"august\" + 0.069*\"judici\" + 0.069*\"april\" + 0.069*\"decatur\"\n", + "2019-01-31 00:20:29,295 : INFO : topic diff=0.020832, rho=0.081923\n", + "2019-01-31 00:20:32,087 : INFO : -11.414 per-word bound, 2728.1 perplexity estimate based on a held-out corpus of 2000 documents with 555698 words\n", + "2019-01-31 00:20:32,087 : INFO : PROGRESS: pass 0, at document #300000/4922894\n", + "2019-01-31 00:20:33,558 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:33,824 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.040*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"crew\"\n", + "2019-01-31 00:20:33,826 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.029*\"woman\" + 0.026*\"olymp\" + 0.023*\"medal\" + 0.022*\"men\" + 0.021*\"atheist\" + 0.021*\"event\" + 0.018*\"alic\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:20:33,827 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"man\" + 0.005*\"night\" + 0.004*\"blue\" + 0.004*\"bewild\" + 0.004*\"litig\" + 0.003*\"vision\" + 0.003*\"christma\" + 0.003*\"dai\"\n", + "2019-01-31 00:20:33,828 : INFO : topic #3 (0.020): 0.040*\"present\" + 0.029*\"offic\" + 0.026*\"minist\" + 0.022*\"seri\" + 0.019*\"gener\" + 0.017*\"member\" + 0.017*\"chickasaw\" + 0.016*\"serv\" + 0.015*\"appeas\" + 0.013*\"govern\"\n", + "2019-01-31 00:20:33,829 : INFO : topic #17 (0.020): 0.062*\"church\" + 0.021*\"jpg\" + 0.020*\"christian\" + 0.020*\"cathol\" + 0.018*\"bishop\" + 0.018*\"fifteenth\" + 0.015*\"centuri\" + 0.014*\"retroflex\" + 0.013*\"sail\" + 0.012*\"italian\"\n", + "2019-01-31 00:20:33,835 : INFO : topic diff=0.020513, rho=0.081650\n", + "2019-01-31 00:20:33,993 : INFO : PROGRESS: pass 0, at document #302000/4922894\n", + "2019-01-31 00:20:35,473 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:35,740 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.020*\"word\" + 0.016*\"new\" + 0.015*\"edit\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.012*\"presid\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 00:20:35,741 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"man\" + 0.005*\"blue\" + 0.005*\"night\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.003*\"vision\" + 0.003*\"dai\" + 0.003*\"introductori\"\n", + "2019-01-31 00:20:35,742 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"area\" + 0.015*\"mount\" + 0.008*\"land\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"foam\" + 0.008*\"palmer\"\n", + "2019-01-31 00:20:35,743 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.025*\"sail\" + 0.022*\"jean\" + 0.015*\"daphn\" + 0.012*\"loui\" + 0.012*\"lazi\" + 0.012*\"wine\" + 0.011*\"wreath\"\n", + "2019-01-31 00:20:35,744 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.015*\"soviet\" + 0.014*\"francisco\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"josé\"\n", + "2019-01-31 00:20:35,750 : INFO : topic diff=0.018847, rho=0.081379\n", + "2019-01-31 00:20:35,904 : INFO : PROGRESS: pass 0, at document #304000/4922894\n", + "2019-01-31 00:20:37,362 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:37,628 : INFO : topic #48 (0.020): 0.087*\"januari\" + 0.084*\"march\" + 0.077*\"sens\" + 0.077*\"octob\" + 0.073*\"notion\" + 0.071*\"judici\" + 0.071*\"juli\" + 0.070*\"august\" + 0.068*\"april\" + 0.068*\"decatur\"\n", + "2019-01-31 00:20:37,630 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.018*\"candid\" + 0.017*\"taxpay\" + 0.014*\"driver\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"find\" + 0.011*\"landslid\" + 0.010*\"théori\" + 0.010*\"ret\"\n", + "2019-01-31 00:20:37,631 : INFO : topic #45 (0.020): 0.023*\"black\" + 0.018*\"western\" + 0.016*\"colder\" + 0.013*\"record\" + 0.012*\"fit\" + 0.011*\"blind\" + 0.010*\"light\" + 0.008*\"green\" + 0.008*\"illicit\" + 0.006*\"hand\"\n", + "2019-01-31 00:20:37,633 : INFO : topic #17 (0.020): 0.062*\"church\" + 0.020*\"jpg\" + 0.020*\"christian\" + 0.019*\"cathol\" + 0.017*\"fifteenth\" + 0.017*\"bishop\" + 0.015*\"centuri\" + 0.014*\"retroflex\" + 0.013*\"sail\" + 0.011*\"italian\"\n", + "2019-01-31 00:20:37,634 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.014*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.010*\"slur\" + 0.009*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:20:37,639 : INFO : topic diff=0.019128, rho=0.081111\n", + "2019-01-31 00:20:37,790 : INFO : PROGRESS: pass 0, at document #306000/4922894\n", + "2019-01-31 00:20:39,230 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:39,496 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.043*\"american\" + 0.026*\"valour\" + 0.022*\"player\" + 0.018*\"english\" + 0.017*\"folei\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:20:39,497 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"differ\" + 0.006*\"measur\"\n", + "2019-01-31 00:20:39,499 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.032*\"sovereignti\" + 0.028*\"poison\" + 0.027*\"rural\" + 0.025*\"reprint\" + 0.023*\"personifi\" + 0.018*\"poland\" + 0.016*\"moscow\" + 0.014*\"shirin\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:20:39,500 : INFO : topic #3 (0.020): 0.040*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.022*\"seri\" + 0.018*\"gener\" + 0.018*\"member\" + 0.018*\"chickasaw\" + 0.016*\"serv\" + 0.015*\"appeas\" + 0.013*\"govern\"\n", + "2019-01-31 00:20:39,501 : INFO : topic #34 (0.020): 0.074*\"start\" + 0.041*\"cotton\" + 0.029*\"unionist\" + 0.022*\"american\" + 0.018*\"new\" + 0.015*\"terri\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"violent\"\n", + "2019-01-31 00:20:39,507 : INFO : topic diff=0.021513, rho=0.080845\n", + "2019-01-31 00:20:39,665 : INFO : PROGRESS: pass 0, at document #308000/4922894\n", + "2019-01-31 00:20:41,152 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:41,418 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.018*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.008*\"land\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"palmer\" + 0.008*\"foam\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:20:41,419 : INFO : topic #5 (0.020): 0.041*\"abroad\" + 0.029*\"son\" + 0.029*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 00:20:41,420 : INFO : topic #16 (0.020): 0.029*\"priest\" + 0.019*\"maria\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.018*\"king\" + 0.017*\"quarterli\" + 0.014*\"rotterdam\" + 0.014*\"portugues\" + 0.014*\"order\" + 0.012*\"princ\"\n", + "2019-01-31 00:20:41,421 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.010*\"slur\" + 0.009*\"mexican–american\" + 0.009*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:20:41,422 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"differ\" + 0.006*\"measur\"\n", + "2019-01-31 00:20:41,428 : INFO : topic diff=0.020493, rho=0.080582\n", + "2019-01-31 00:20:41,578 : INFO : PROGRESS: pass 0, at document #310000/4922894\n", + "2019-01-31 00:20:43,012 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:43,278 : INFO : topic #31 (0.020): 0.066*\"fusiform\" + 0.023*\"player\" + 0.020*\"scientist\" + 0.019*\"place\" + 0.015*\"taxpay\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.010*\"folei\" + 0.009*\"yard\" + 0.008*\"barber\"\n", + "2019-01-31 00:20:43,279 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"man\" + 0.005*\"bewild\" + 0.005*\"blue\" + 0.004*\"night\" + 0.004*\"litig\" + 0.003*\"dai\" + 0.003*\"introductori\" + 0.003*\"vision\"\n", + "2019-01-31 00:20:43,280 : INFO : topic #3 (0.020): 0.039*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.023*\"seri\" + 0.019*\"chickasaw\" + 0.018*\"member\" + 0.018*\"gener\" + 0.016*\"serv\" + 0.015*\"appeas\" + 0.014*\"govern\"\n", + "2019-01-31 00:20:43,282 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.007*\"proper\" + 0.007*\"hormon\" + 0.007*\"disco\" + 0.006*\"caus\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"activ\"\n", + "2019-01-31 00:20:43,283 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.033*\"leagu\" + 0.031*\"place\" + 0.029*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:20:43,289 : INFO : topic diff=0.020996, rho=0.080322\n", + "2019-01-31 00:20:43,438 : INFO : PROGRESS: pass 0, at document #312000/4922894\n", + "2019-01-31 00:20:44,875 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:45,140 : INFO : topic #16 (0.020): 0.028*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.018*\"maria\" + 0.018*\"quarterli\" + 0.017*\"king\" + 0.015*\"rotterdam\" + 0.015*\"order\" + 0.015*\"portugues\" + 0.011*\"portrait\"\n", + "2019-01-31 00:20:45,141 : INFO : topic #20 (0.020): 0.127*\"scholar\" + 0.036*\"struggl\" + 0.029*\"educ\" + 0.029*\"high\" + 0.018*\"yawn\" + 0.017*\"collector\" + 0.012*\"prognosi\" + 0.009*\"class\" + 0.009*\"task\" + 0.008*\"pseudo\"\n", + "2019-01-31 00:20:45,143 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.031*\"sovereignti\" + 0.028*\"rural\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.022*\"personifi\" + 0.017*\"poland\" + 0.017*\"moscow\" + 0.015*\"shirin\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:20:45,144 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.023*\"player\" + 0.020*\"place\" + 0.020*\"scientist\" + 0.015*\"taxpay\" + 0.012*\"leagu\" + 0.011*\"yard\" + 0.010*\"ruler\" + 0.009*\"folei\" + 0.008*\"barber\"\n", + "2019-01-31 00:20:45,145 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.028*\"new\" + 0.025*\"sourc\" + 0.023*\"london\" + 0.021*\"australian\" + 0.021*\"england\" + 0.020*\"ireland\" + 0.018*\"youth\" + 0.017*\"british\" + 0.016*\"sydnei\"\n", + "2019-01-31 00:20:45,151 : INFO : topic diff=0.021081, rho=0.080064\n", + "2019-01-31 00:20:45,303 : INFO : PROGRESS: pass 0, at document #314000/4922894\n", + "2019-01-31 00:20:46,759 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:47,025 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.017*\"taxpay\" + 0.017*\"candid\" + 0.016*\"driver\" + 0.013*\"tornado\" + 0.013*\"ret\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"théori\" + 0.010*\"champion\"\n", + "2019-01-31 00:20:47,026 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.030*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 00:20:47,027 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.031*\"place\" + 0.029*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"player\"\n", + "2019-01-31 00:20:47,029 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.032*\"incumb\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"islam\" + 0.010*\"khalsa\" + 0.010*\"sri\" + 0.010*\"start\" + 0.009*\"alam\" + 0.009*\"muskoge\"\n", + "2019-01-31 00:20:47,030 : INFO : topic #9 (0.020): 0.081*\"bone\" + 0.046*\"american\" + 0.024*\"valour\" + 0.021*\"player\" + 0.016*\"folei\" + 0.016*\"english\" + 0.015*\"polit\" + 0.015*\"dutch\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 00:20:47,036 : INFO : topic diff=0.019141, rho=0.079809\n", + "2019-01-31 00:20:47,187 : INFO : PROGRESS: pass 0, at document #316000/4922894\n", + "2019-01-31 00:20:48,626 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:48,891 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.014*\"mount\" + 0.008*\"vacant\" + 0.008*\"land\" + 0.008*\"north\" + 0.008*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 00:20:48,893 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.023*\"player\" + 0.020*\"place\" + 0.020*\"scientist\" + 0.015*\"taxpay\" + 0.012*\"leagu\" + 0.011*\"yard\" + 0.010*\"ruler\" + 0.010*\"folei\" + 0.008*\"barber\"\n", + "2019-01-31 00:20:48,894 : INFO : topic #8 (0.020): 0.032*\"law\" + 0.026*\"cortic\" + 0.022*\"act\" + 0.019*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"judaism\" + 0.007*\"justic\"\n", + "2019-01-31 00:20:48,895 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.024*\"spain\" + 0.020*\"mexico\" + 0.019*\"del\" + 0.014*\"soviet\" + 0.013*\"francisco\" + 0.013*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"lizard\"\n", + "2019-01-31 00:20:48,897 : INFO : topic #48 (0.020): 0.087*\"march\" + 0.082*\"januari\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.075*\"notion\" + 0.073*\"juli\" + 0.073*\"judici\" + 0.072*\"august\" + 0.072*\"april\" + 0.070*\"decatur\"\n", + "2019-01-31 00:20:48,903 : INFO : topic diff=0.018112, rho=0.079556\n", + "2019-01-31 00:20:49,056 : INFO : PROGRESS: pass 0, at document #318000/4922894\n", + "2019-01-31 00:20:50,489 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:50,755 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.044*\"franc\" + 0.029*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.017*\"wine\" + 0.016*\"wreath\" + 0.015*\"daphn\" + 0.013*\"loui\" + 0.012*\"lazi\"\n", + "2019-01-31 00:20:50,756 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.024*\"spain\" + 0.020*\"mexico\" + 0.019*\"del\" + 0.014*\"soviet\" + 0.013*\"francisco\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"lizard\"\n", + "2019-01-31 00:20:50,757 : INFO : topic #19 (0.020): 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"charact\" + 0.009*\"form\" + 0.009*\"languag\" + 0.008*\"mean\" + 0.008*\"uruguayan\" + 0.008*\"like\" + 0.007*\"god\" + 0.006*\"differ\"\n", + "2019-01-31 00:20:50,758 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"new\" + 0.025*\"sourc\" + 0.024*\"london\" + 0.021*\"australian\" + 0.020*\"england\" + 0.020*\"ireland\" + 0.018*\"youth\" + 0.017*\"british\" + 0.015*\"sydnei\"\n", + "2019-01-31 00:20:50,760 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.031*\"champion\" + 0.029*\"woman\" + 0.025*\"olymp\" + 0.024*\"alic\" + 0.022*\"medal\" + 0.021*\"men\" + 0.021*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:20:50,765 : INFO : topic diff=0.018600, rho=0.079305\n", + "2019-01-31 00:20:53,587 : INFO : -11.562 per-word bound, 3022.6 perplexity estimate based on a held-out corpus of 2000 documents with 550871 words\n", + "2019-01-31 00:20:53,588 : INFO : PROGRESS: pass 0, at document #320000/4922894\n", + "2019-01-31 00:20:55,043 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:55,309 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.025*\"collector\" + 0.020*\"institut\" + 0.019*\"schuster\" + 0.016*\"student\" + 0.016*\"requir\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:20:55,310 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.044*\"arsen\" + 0.038*\"line\" + 0.037*\"raid\" + 0.035*\"museo\" + 0.018*\"traceabl\" + 0.018*\"pain\" + 0.017*\"serv\" + 0.017*\"word\" + 0.017*\"exhaust\"\n", + "2019-01-31 00:20:55,311 : INFO : topic #8 (0.020): 0.033*\"law\" + 0.027*\"cortic\" + 0.022*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"legal\" + 0.009*\"polaris\" + 0.009*\"judaism\" + 0.008*\"justic\"\n", + "2019-01-31 00:20:55,312 : INFO : topic #15 (0.020): 0.014*\"develop\" + 0.013*\"small\" + 0.012*\"requir\" + 0.010*\"organ\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"student\" + 0.008*\"socialist\" + 0.008*\"human\"\n", + "2019-01-31 00:20:55,313 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.023*\"adulthood\" + 0.017*\"hostil\" + 0.017*\"feel\" + 0.015*\"male\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.009*\"popolo\"\n", + "2019-01-31 00:20:55,319 : INFO : topic diff=0.017851, rho=0.079057\n", + "2019-01-31 00:20:55,474 : INFO : PROGRESS: pass 0, at document #322000/4922894\n", + "2019-01-31 00:20:56,926 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:57,192 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.014*\"margin\" + 0.012*\"life\" + 0.012*\"deal\" + 0.012*\"bone\" + 0.012*\"faster\" + 0.012*\"john\"\n", + "2019-01-31 00:20:57,193 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.043*\"franc\" + 0.028*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.016*\"wine\" + 0.015*\"wreath\" + 0.014*\"daphn\" + 0.013*\"loui\" + 0.012*\"lazi\"\n", + "2019-01-31 00:20:57,194 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.042*\"new\" + 0.027*\"palmer\" + 0.025*\"year\" + 0.015*\"center\" + 0.015*\"strategist\" + 0.010*\"open\" + 0.009*\"hot\" + 0.009*\"lobe\" + 0.009*\"includ\"\n", + "2019-01-31 00:20:57,195 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.010*\"start\" + 0.008*\"replac\" + 0.008*\"countri\" + 0.008*\"yawn\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"new\" + 0.006*\"théori\" + 0.006*\"summerhil\"\n", + "2019-01-31 00:20:57,197 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.031*\"incumb\" + 0.015*\"televis\" + 0.012*\"pakistan\" + 0.010*\"islam\" + 0.010*\"khalsa\" + 0.010*\"start\" + 0.009*\"sri\" + 0.009*\"tajikistan\" + 0.009*\"alam\"\n", + "2019-01-31 00:20:57,202 : INFO : topic diff=0.019380, rho=0.078811\n", + "2019-01-31 00:20:57,359 : INFO : PROGRESS: pass 0, at document #324000/4922894\n", + "2019-01-31 00:20:58,818 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:20:59,084 : INFO : topic #26 (0.020): 0.034*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.023*\"alic\" + 0.021*\"medal\" + 0.021*\"event\" + 0.020*\"men\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 00:20:59,085 : INFO : topic #45 (0.020): 0.022*\"black\" + 0.018*\"western\" + 0.015*\"colder\" + 0.013*\"record\" + 0.010*\"blind\" + 0.010*\"light\" + 0.009*\"fit\" + 0.008*\"illicit\" + 0.008*\"green\" + 0.007*\"arm\"\n", + "2019-01-31 00:20:59,086 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.080*\"januari\" + 0.076*\"octob\" + 0.076*\"sens\" + 0.073*\"notion\" + 0.072*\"april\" + 0.071*\"juli\" + 0.071*\"judici\" + 0.071*\"august\" + 0.069*\"decatur\"\n", + "2019-01-31 00:20:59,087 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.023*\"seri\" + 0.019*\"gener\" + 0.019*\"chickasaw\" + 0.018*\"member\" + 0.015*\"serv\" + 0.015*\"appeas\" + 0.014*\"govern\"\n", + "2019-01-31 00:20:59,088 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.014*\"yawn\" + 0.014*\"margin\" + 0.012*\"deal\" + 0.012*\"life\" + 0.012*\"john\" + 0.012*\"bone\" + 0.012*\"faster\"\n", + "2019-01-31 00:20:59,094 : INFO : topic diff=0.020038, rho=0.078567\n", + "2019-01-31 00:20:59,250 : INFO : PROGRESS: pass 0, at document #326000/4922894\n", + "2019-01-31 00:21:00,726 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:00,991 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.026*\"collector\" + 0.020*\"institut\" + 0.019*\"schuster\" + 0.016*\"student\" + 0.015*\"requir\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.012*\"degre\"\n", + "2019-01-31 00:21:00,993 : INFO : topic #26 (0.020): 0.035*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.022*\"alic\" + 0.021*\"medal\" + 0.021*\"event\" + 0.020*\"men\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:21:00,994 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.023*\"hous\" + 0.023*\"rivièr\" + 0.016*\"buford\" + 0.012*\"rosenwald\" + 0.011*\"briarwood\" + 0.011*\"histor\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"silicon\"\n", + "2019-01-31 00:21:00,995 : INFO : topic #3 (0.020): 0.039*\"present\" + 0.028*\"offic\" + 0.025*\"minist\" + 0.023*\"seri\" + 0.019*\"gener\" + 0.018*\"chickasaw\" + 0.018*\"member\" + 0.015*\"serv\" + 0.015*\"appeas\" + 0.014*\"govern\"\n", + "2019-01-31 00:21:00,996 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.043*\"franc\" + 0.028*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.015*\"wine\" + 0.015*\"loui\" + 0.014*\"daphn\" + 0.013*\"wreath\" + 0.013*\"lazi\"\n", + "2019-01-31 00:21:01,002 : INFO : topic diff=0.018567, rho=0.078326\n", + "2019-01-31 00:21:01,154 : INFO : PROGRESS: pass 0, at document #328000/4922894\n", + "2019-01-31 00:21:02,594 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:02,860 : INFO : topic #42 (0.020): 0.038*\"german\" + 0.025*\"germani\" + 0.014*\"vol\" + 0.012*\"jewish\" + 0.012*\"der\" + 0.011*\"israel\" + 0.010*\"berlin\" + 0.009*\"greek\" + 0.008*\"austria\" + 0.008*\"europ\"\n", + "2019-01-31 00:21:02,861 : INFO : topic #41 (0.020): 0.051*\"citi\" + 0.042*\"new\" + 0.027*\"palmer\" + 0.024*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.010*\"open\" + 0.010*\"lobe\" + 0.009*\"includ\" + 0.009*\"hot\"\n", + "2019-01-31 00:21:02,862 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.024*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.013*\"francisco\" + 0.011*\"josé\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 00:21:02,863 : INFO : topic #8 (0.020): 0.032*\"law\" + 0.025*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.008*\"rudolf\"\n", + "2019-01-31 00:21:02,864 : INFO : topic #16 (0.020): 0.028*\"priest\" + 0.019*\"quarterli\" + 0.019*\"grammat\" + 0.018*\"king\" + 0.018*\"duke\" + 0.018*\"portugues\" + 0.017*\"maria\" + 0.015*\"rotterdam\" + 0.013*\"princ\" + 0.012*\"portrait\"\n", + "2019-01-31 00:21:02,870 : INFO : topic diff=0.016826, rho=0.078087\n", + "2019-01-31 00:21:03,027 : INFO : PROGRESS: pass 0, at document #330000/4922894\n", + "2019-01-31 00:21:04,504 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:04,770 : INFO : topic #15 (0.020): 0.014*\"small\" + 0.013*\"develop\" + 0.011*\"organ\" + 0.011*\"requir\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"socialist\" + 0.008*\"student\" + 0.008*\"human\"\n", + "2019-01-31 00:21:04,771 : INFO : topic #17 (0.020): 0.065*\"church\" + 0.019*\"jpg\" + 0.019*\"christian\" + 0.018*\"cathol\" + 0.017*\"bishop\" + 0.014*\"sail\" + 0.014*\"fifteenth\" + 0.014*\"retroflex\" + 0.014*\"centuri\" + 0.010*\"italian\"\n", + "2019-01-31 00:21:04,772 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.043*\"franc\" + 0.029*\"pari\" + 0.026*\"sail\" + 0.022*\"jean\" + 0.015*\"loui\" + 0.014*\"daphn\" + 0.014*\"wine\" + 0.013*\"lazi\" + 0.012*\"piec\"\n", + "2019-01-31 00:21:04,774 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"taxpay\" + 0.016*\"candid\" + 0.014*\"driver\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.011*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.010*\"théori\"\n", + "2019-01-31 00:21:04,775 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.015*\"area\" + 0.015*\"mount\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"vacant\" + 0.008*\"lobe\" + 0.008*\"foam\"\n", + "2019-01-31 00:21:04,781 : INFO : topic diff=0.019237, rho=0.077850\n", + "2019-01-31 00:21:04,933 : INFO : PROGRESS: pass 0, at document #332000/4922894\n", + "2019-01-31 00:21:06,383 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:06,655 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.043*\"franc\" + 0.028*\"pari\" + 0.025*\"sail\" + 0.022*\"wine\" + 0.022*\"jean\" + 0.014*\"daphn\" + 0.014*\"loui\" + 0.012*\"lazi\" + 0.011*\"piec\"\n", + "2019-01-31 00:21:06,656 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.030*\"incumb\" + 0.014*\"televis\" + 0.012*\"pakistan\" + 0.010*\"islam\" + 0.010*\"start\" + 0.010*\"khalsa\" + 0.009*\"tajikistan\" + 0.009*\"sri\" + 0.008*\"alam\"\n", + "2019-01-31 00:21:06,658 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.009*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"che\" + 0.007*\"caus\" + 0.007*\"have\" + 0.006*\"treat\" + 0.006*\"includ\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:21:06,659 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.027*\"factor\" + 0.023*\"adulthood\" + 0.017*\"hostil\" + 0.017*\"feel\" + 0.015*\"live\" + 0.014*\"male\" + 0.011*\"plaisir\" + 0.009*\"genu\" + 0.009*\"popolo\"\n", + "2019-01-31 00:21:06,660 : INFO : topic #8 (0.020): 0.032*\"law\" + 0.026*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.008*\"justic\"\n", + "2019-01-31 00:21:06,666 : INFO : topic diff=0.018647, rho=0.077615\n", + "2019-01-31 00:21:06,820 : INFO : PROGRESS: pass 0, at document #334000/4922894\n", + "2019-01-31 00:21:08,282 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:08,547 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.010*\"start\" + 0.008*\"replac\" + 0.008*\"countri\" + 0.008*\"yawn\" + 0.007*\"million\" + 0.006*\"nation\" + 0.006*\"théori\" + 0.006*\"new\" + 0.006*\"placement\"\n", + "2019-01-31 00:21:08,549 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.027*\"factor\" + 0.023*\"adulthood\" + 0.017*\"hostil\" + 0.017*\"feel\" + 0.015*\"live\" + 0.015*\"male\" + 0.011*\"plaisir\" + 0.010*\"popolo\" + 0.009*\"genu\"\n", + "2019-01-31 00:21:08,550 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.042*\"franc\" + 0.029*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.021*\"wine\" + 0.014*\"daphn\" + 0.014*\"loui\" + 0.012*\"lazi\" + 0.011*\"piec\"\n", + "2019-01-31 00:21:08,551 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.019*\"tourist\" + 0.017*\"champion\" + 0.015*\"taxpay\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"martin\" + 0.012*\"poet\"\n", + "2019-01-31 00:21:08,553 : INFO : topic #23 (0.020): 0.124*\"audit\" + 0.065*\"best\" + 0.039*\"jacksonvil\" + 0.030*\"yawn\" + 0.025*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.016*\"tokyo\"\n", + "2019-01-31 00:21:08,558 : INFO : topic diff=0.016786, rho=0.077382\n", + "2019-01-31 00:21:08,714 : INFO : PROGRESS: pass 0, at document #336000/4922894\n", + "2019-01-31 00:21:10,205 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:10,471 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.025*\"minist\" + 0.024*\"seri\" + 0.020*\"gener\" + 0.018*\"member\" + 0.018*\"chickasaw\" + 0.015*\"appeas\" + 0.014*\"govern\" + 0.014*\"serv\"\n", + "2019-01-31 00:21:10,472 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"che\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:21:10,474 : INFO : topic #43 (0.020): 0.069*\"elect\" + 0.057*\"parti\" + 0.027*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.019*\"polici\" + 0.015*\"bypass\" + 0.014*\"report\" + 0.014*\"republ\" + 0.013*\"hous\"\n", + "2019-01-31 00:21:10,475 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.043*\"arsen\" + 0.037*\"line\" + 0.037*\"raid\" + 0.032*\"museo\" + 0.018*\"traceabl\" + 0.017*\"serv\" + 0.017*\"pain\" + 0.016*\"word\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:21:10,475 : INFO : topic #16 (0.020): 0.026*\"priest\" + 0.019*\"grammat\" + 0.018*\"king\" + 0.018*\"portugues\" + 0.018*\"quarterli\" + 0.017*\"duke\" + 0.017*\"maria\" + 0.016*\"rotterdam\" + 0.013*\"portrait\" + 0.012*\"idiosyncrat\"\n", + "2019-01-31 00:21:10,481 : INFO : topic diff=0.020697, rho=0.077152\n", + "2019-01-31 00:21:10,638 : INFO : PROGRESS: pass 0, at document #338000/4922894\n", + "2019-01-31 00:21:12,117 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:12,383 : INFO : topic #26 (0.020): 0.035*\"workplac\" + 0.032*\"champion\" + 0.031*\"woman\" + 0.025*\"event\" + 0.025*\"olymp\" + 0.021*\"alic\" + 0.021*\"men\" + 0.021*\"medal\" + 0.019*\"rainfal\" + 0.019*\"atheist\"\n", + "2019-01-31 00:21:12,384 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.014*\"televis\" + 0.011*\"pakistan\" + 0.010*\"islam\" + 0.010*\"khalsa\" + 0.009*\"sri\" + 0.009*\"start\" + 0.009*\"alam\" + 0.008*\"tajikistan\"\n", + "2019-01-31 00:21:12,385 : INFO : topic #31 (0.020): 0.063*\"fusiform\" + 0.022*\"player\" + 0.019*\"scientist\" + 0.019*\"place\" + 0.017*\"taxpay\" + 0.011*\"leagu\" + 0.011*\"folei\" + 0.010*\"yard\" + 0.009*\"borrow\" + 0.009*\"ruler\"\n", + "2019-01-31 00:21:12,386 : INFO : topic #16 (0.020): 0.028*\"priest\" + 0.019*\"king\" + 0.019*\"quarterli\" + 0.018*\"grammat\" + 0.018*\"portugues\" + 0.017*\"duke\" + 0.017*\"maria\" + 0.017*\"rotterdam\" + 0.013*\"princ\" + 0.012*\"idiosyncrat\"\n", + "2019-01-31 00:21:12,388 : INFO : topic #32 (0.020): 0.061*\"district\" + 0.046*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.030*\"cotton\" + 0.029*\"area\" + 0.027*\"multitud\" + 0.026*\"regim\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:21:12,394 : INFO : topic diff=0.017033, rho=0.076923\n", + "2019-01-31 00:21:15,197 : INFO : -11.816 per-word bound, 3606.0 perplexity estimate based on a held-out corpus of 2000 documents with 555866 words\n", + "2019-01-31 00:21:15,197 : INFO : PROGRESS: pass 0, at document #340000/4922894\n", + "2019-01-31 00:21:16,678 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:16,944 : INFO : topic #19 (0.020): 0.010*\"origin\" + 0.010*\"woodcut\" + 0.009*\"languag\" + 0.009*\"form\" + 0.009*\"charact\" + 0.008*\"mean\" + 0.008*\"uruguayan\" + 0.008*\"like\" + 0.006*\"god\" + 0.006*\"differ\"\n", + "2019-01-31 00:21:16,945 : INFO : topic #40 (0.020): 0.093*\"unit\" + 0.026*\"collector\" + 0.019*\"institut\" + 0.019*\"schuster\" + 0.016*\"student\" + 0.014*\"requir\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:21:16,946 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"arsen\" + 0.038*\"raid\" + 0.038*\"line\" + 0.031*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.016*\"pain\" + 0.016*\"word\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:21:16,947 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.017*\"champion\" + 0.015*\"tiepolo\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.013*\"martin\" + 0.012*\"winner\"\n", + "2019-01-31 00:21:16,948 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.027*\"factor\" + 0.023*\"adulthood\" + 0.017*\"hostil\" + 0.017*\"feel\" + 0.015*\"live\" + 0.015*\"male\" + 0.011*\"plaisir\" + 0.010*\"popolo\" + 0.010*\"genu\"\n", + "2019-01-31 00:21:16,954 : INFO : topic diff=0.017131, rho=0.076696\n", + "2019-01-31 00:21:17,112 : INFO : PROGRESS: pass 0, at document #342000/4922894\n", + "2019-01-31 00:21:18,579 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:18,846 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"dai\" + 0.004*\"help\" + 0.004*\"deal\" + 0.004*\"fraud\"\n", + "2019-01-31 00:21:18,848 : INFO : topic #43 (0.020): 0.069*\"elect\" + 0.058*\"parti\" + 0.027*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.020*\"polici\" + 0.015*\"bypass\" + 0.014*\"report\" + 0.014*\"republ\" + 0.013*\"seaport\"\n", + "2019-01-31 00:21:18,849 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.022*\"rivièr\" + 0.016*\"buford\" + 0.012*\"rosenwald\" + 0.012*\"briarwood\" + 0.011*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.009*\"linear\"\n", + "2019-01-31 00:21:18,850 : INFO : topic #41 (0.020): 0.050*\"citi\" + 0.042*\"new\" + 0.025*\"palmer\" + 0.023*\"year\" + 0.015*\"strategist\" + 0.015*\"center\" + 0.011*\"open\" + 0.010*\"lobe\" + 0.009*\"includ\" + 0.008*\"hot\"\n", + "2019-01-31 00:21:18,851 : INFO : topic #23 (0.020): 0.126*\"audit\" + 0.066*\"best\" + 0.038*\"jacksonvil\" + 0.030*\"yawn\" + 0.026*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.015*\"tokyo\"\n", + "2019-01-31 00:21:18,857 : INFO : topic diff=0.019164, rho=0.076472\n", + "2019-01-31 00:21:19,017 : INFO : PROGRESS: pass 0, at document #344000/4922894\n", + "2019-01-31 00:21:20,510 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:20,776 : INFO : topic #19 (0.020): 0.010*\"origin\" + 0.009*\"woodcut\" + 0.009*\"languag\" + 0.009*\"form\" + 0.009*\"charact\" + 0.008*\"mean\" + 0.008*\"uruguayan\" + 0.007*\"like\" + 0.006*\"god\" + 0.006*\"name\"\n", + "2019-01-31 00:21:20,777 : INFO : topic #13 (0.020): 0.028*\"new\" + 0.027*\"australia\" + 0.024*\"england\" + 0.024*\"sourc\" + 0.023*\"london\" + 0.022*\"australian\" + 0.019*\"ireland\" + 0.018*\"youth\" + 0.018*\"british\" + 0.015*\"wale\"\n", + "2019-01-31 00:21:20,778 : INFO : topic #43 (0.020): 0.076*\"elect\" + 0.056*\"parti\" + 0.026*\"voluntari\" + 0.022*\"democrat\" + 0.022*\"member\" + 0.019*\"polici\" + 0.016*\"hous\" + 0.015*\"report\" + 0.015*\"tendenc\" + 0.014*\"bypass\"\n", + "2019-01-31 00:21:20,780 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.016*\"king\" + 0.012*\"battalion\" + 0.010*\"aza\" + 0.008*\"empath\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.007*\"centuri\" + 0.007*\"armi\" + 0.007*\"till\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:21:20,781 : INFO : topic #16 (0.020): 0.033*\"priest\" + 0.021*\"grammat\" + 0.020*\"king\" + 0.020*\"quarterli\" + 0.019*\"duke\" + 0.017*\"maria\" + 0.017*\"rotterdam\" + 0.017*\"portugues\" + 0.016*\"count\" + 0.013*\"princ\"\n", + "2019-01-31 00:21:20,786 : INFO : topic diff=0.022057, rho=0.076249\n", + "2019-01-31 00:21:20,941 : INFO : PROGRESS: pass 0, at document #346000/4922894\n", + "2019-01-31 00:21:22,384 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:22,650 : INFO : topic #33 (0.020): 0.067*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.016*\"wine\" + 0.015*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\"\n", + "2019-01-31 00:21:22,651 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"fleet\" + 0.010*\"coalit\" + 0.008*\"bahá\"\n", + "2019-01-31 00:21:22,652 : INFO : topic #19 (0.020): 0.010*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"charact\" + 0.008*\"uruguayan\" + 0.008*\"mean\" + 0.008*\"like\" + 0.006*\"god\" + 0.006*\"name\"\n", + "2019-01-31 00:21:22,653 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"arsen\" + 0.039*\"line\" + 0.036*\"raid\" + 0.033*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.016*\"pain\" + 0.015*\"word\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:21:22,654 : INFO : topic #41 (0.020): 0.050*\"citi\" + 0.042*\"new\" + 0.025*\"palmer\" + 0.024*\"year\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.010*\"open\" + 0.009*\"lobe\" + 0.009*\"includ\" + 0.008*\"hot\"\n", + "2019-01-31 00:21:22,660 : INFO : topic diff=0.018962, rho=0.076029\n", + "2019-01-31 00:21:22,814 : INFO : PROGRESS: pass 0, at document #348000/4922894\n", + "2019-01-31 00:21:24,264 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:24,530 : INFO : topic #40 (0.020): 0.093*\"unit\" + 0.025*\"collector\" + 0.019*\"schuster\" + 0.019*\"institut\" + 0.016*\"student\" + 0.015*\"requir\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.012*\"degre\"\n", + "2019-01-31 00:21:24,531 : INFO : topic #32 (0.020): 0.060*\"district\" + 0.046*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.029*\"area\" + 0.028*\"cotton\" + 0.027*\"multitud\" + 0.025*\"regim\" + 0.020*\"commun\" + 0.020*\"citi\"\n", + "2019-01-31 00:21:24,533 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.006*\"kill\" + 0.006*\"sack\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"dai\" + 0.004*\"deal\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:21:24,534 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.031*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.022*\"folei\" + 0.016*\"martin\" + 0.016*\"goal\" + 0.012*\"player\"\n", + "2019-01-31 00:21:24,535 : INFO : topic #20 (0.020): 0.128*\"scholar\" + 0.037*\"struggl\" + 0.029*\"high\" + 0.028*\"educ\" + 0.018*\"yawn\" + 0.018*\"collector\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 00:21:24,541 : INFO : topic diff=0.017567, rho=0.075810\n", + "2019-01-31 00:21:24,751 : INFO : PROGRESS: pass 0, at document #350000/4922894\n", + "2019-01-31 00:21:26,183 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:26,449 : INFO : topic #42 (0.020): 0.039*\"german\" + 0.025*\"germani\" + 0.014*\"jewish\" + 0.014*\"vol\" + 0.012*\"israel\" + 0.012*\"der\" + 0.011*\"berlin\" + 0.010*\"jeremiah\" + 0.009*\"greek\" + 0.009*\"itali\"\n", + "2019-01-31 00:21:26,450 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.029*\"offic\" + 0.025*\"minist\" + 0.022*\"seri\" + 0.019*\"gener\" + 0.018*\"chickasaw\" + 0.018*\"member\" + 0.017*\"serv\" + 0.015*\"govern\" + 0.015*\"appeas\"\n", + "2019-01-31 00:21:26,451 : INFO : topic #33 (0.020): 0.068*\"french\" + 0.049*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.015*\"wine\" + 0.015*\"daphn\" + 0.013*\"loui\" + 0.012*\"lazi\" + 0.011*\"piec\"\n", + "2019-01-31 00:21:26,453 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.014*\"mount\" + 0.008*\"north\" + 0.008*\"palmer\" + 0.008*\"land\" + 0.008*\"foam\" + 0.007*\"sourc\"\n", + "2019-01-31 00:21:26,453 : INFO : topic #13 (0.020): 0.028*\"new\" + 0.028*\"australia\" + 0.024*\"australian\" + 0.024*\"england\" + 0.024*\"sourc\" + 0.023*\"london\" + 0.020*\"ireland\" + 0.018*\"british\" + 0.018*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:21:26,459 : INFO : topic diff=0.018178, rho=0.075593\n", + "2019-01-31 00:21:26,613 : INFO : PROGRESS: pass 0, at document #352000/4922894\n", + "2019-01-31 00:21:28,078 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:28,344 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.005*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 00:21:28,345 : INFO : topic #34 (0.020): 0.077*\"start\" + 0.034*\"cotton\" + 0.031*\"unionist\" + 0.024*\"american\" + 0.018*\"new\" + 0.015*\"terri\" + 0.014*\"california\" + 0.013*\"violent\" + 0.012*\"north\" + 0.012*\"warrior\"\n", + "2019-01-31 00:21:28,346 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.031*\"turin\" + 0.031*\"sovereignti\" + 0.028*\"rural\" + 0.026*\"reprint\" + 0.025*\"poison\" + 0.020*\"personifi\" + 0.018*\"moscow\" + 0.016*\"shirin\" + 0.015*\"poland\"\n", + "2019-01-31 00:21:28,348 : INFO : topic #42 (0.020): 0.039*\"german\" + 0.026*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.012*\"der\" + 0.012*\"israel\" + 0.011*\"berlin\" + 0.009*\"jeremiah\" + 0.009*\"greek\" + 0.009*\"european\"\n", + "2019-01-31 00:21:28,349 : INFO : topic #43 (0.020): 0.074*\"elect\" + 0.059*\"parti\" + 0.027*\"democrat\" + 0.024*\"voluntari\" + 0.021*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.015*\"report\" + 0.014*\"hous\" + 0.014*\"bypass\"\n", + "2019-01-31 00:21:28,355 : INFO : topic diff=0.016612, rho=0.075378\n", + "2019-01-31 00:21:28,518 : INFO : PROGRESS: pass 0, at document #354000/4922894\n", + "2019-01-31 00:21:30,021 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:30,287 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.053*\"chilton\" + 0.026*\"hong\" + 0.026*\"kong\" + 0.023*\"korea\" + 0.022*\"korean\" + 0.017*\"sourc\" + 0.017*\"leah\" + 0.013*\"kim\" + 0.011*\"taiwan\"\n", + "2019-01-31 00:21:30,288 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.008*\"palmer\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.007*\"vacant\"\n", + "2019-01-31 00:21:30,290 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.024*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.011*\"argentina\" + 0.010*\"carlo\"\n", + "2019-01-31 00:21:30,291 : INFO : topic #42 (0.020): 0.041*\"german\" + 0.026*\"germani\" + 0.016*\"jewish\" + 0.014*\"vol\" + 0.013*\"israel\" + 0.012*\"der\" + 0.012*\"berlin\" + 0.010*\"jeremiah\" + 0.008*\"greek\" + 0.008*\"european\"\n", + "2019-01-31 00:21:30,292 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.011*\"start\" + 0.008*\"replac\" + 0.008*\"countri\" + 0.008*\"yawn\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"théori\" + 0.006*\"new\" + 0.006*\"summerhil\"\n", + "2019-01-31 00:21:30,297 : INFO : topic diff=0.021235, rho=0.075165\n", + "2019-01-31 00:21:30,457 : INFO : PROGRESS: pass 0, at document #356000/4922894\n", + "2019-01-31 00:21:31,940 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:32,206 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.017*\"sweden\" + 0.017*\"damag\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.011*\"ton\" + 0.011*\"turkish\" + 0.010*\"turkei\"\n", + "2019-01-31 00:21:32,207 : INFO : topic #17 (0.020): 0.068*\"church\" + 0.018*\"bishop\" + 0.018*\"christian\" + 0.017*\"cathol\" + 0.017*\"jpg\" + 0.015*\"fifteenth\" + 0.015*\"centuri\" + 0.014*\"retroflex\" + 0.014*\"sail\" + 0.011*\"italian\"\n", + "2019-01-31 00:21:32,208 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.034*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"crete\" + 0.023*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:21:32,210 : INFO : topic #47 (0.020): 0.068*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"damn\" + 0.018*\"compos\" + 0.018*\"theater\" + 0.018*\"place\" + 0.015*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:21:32,211 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"man\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.005*\"night\" + 0.004*\"bewild\" + 0.004*\"vision\" + 0.003*\"introductori\" + 0.003*\"christma\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:21:32,217 : INFO : topic diff=0.019679, rho=0.074953\n", + "2019-01-31 00:21:32,371 : INFO : PROGRESS: pass 0, at document #358000/4922894\n", + "2019-01-31 00:21:33,801 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:34,067 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.012*\"rival\" + 0.011*\"georg\" + 0.009*\"rhyme\" + 0.008*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"paul\"\n", + "2019-01-31 00:21:34,068 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.050*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.023*\"korea\" + 0.021*\"korean\" + 0.018*\"leah\" + 0.017*\"sourc\" + 0.015*\"kim\" + 0.011*\"taiwan\"\n", + "2019-01-31 00:21:34,070 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.011*\"fleet\" + 0.010*\"coalit\" + 0.009*\"bahá\"\n", + "2019-01-31 00:21:34,071 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.080*\"januari\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.075*\"juli\" + 0.075*\"judici\" + 0.074*\"april\" + 0.073*\"notion\" + 0.073*\"august\" + 0.066*\"decatur\"\n", + "2019-01-31 00:21:34,072 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.021*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:21:34,079 : INFO : topic diff=0.017307, rho=0.074744\n", + "2019-01-31 00:21:36,800 : INFO : -12.078 per-word bound, 4322.4 perplexity estimate based on a held-out corpus of 2000 documents with 543113 words\n", + "2019-01-31 00:21:36,800 : INFO : PROGRESS: pass 0, at document #360000/4922894\n", + "2019-01-31 00:21:38,236 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:38,503 : INFO : topic #47 (0.020): 0.069*\"muscl\" + 0.034*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.018*\"damn\" + 0.017*\"place\" + 0.015*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:21:38,504 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"caus\" + 0.006*\"cancer\" + 0.006*\"che\" + 0.006*\"treat\"\n", + "2019-01-31 00:21:38,506 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.027*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.011*\"vocabulari\"\n", + "2019-01-31 00:21:38,507 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.042*\"arsen\" + 0.041*\"line\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.016*\"pain\" + 0.016*\"artist\" + 0.015*\"word\"\n", + "2019-01-31 00:21:38,508 : INFO : topic #43 (0.020): 0.073*\"elect\" + 0.057*\"parti\" + 0.027*\"democrat\" + 0.025*\"voluntari\" + 0.021*\"member\" + 0.018*\"polici\" + 0.018*\"republ\" + 0.015*\"report\" + 0.014*\"bypass\" + 0.014*\"hous\"\n", + "2019-01-31 00:21:38,514 : INFO : topic diff=0.017960, rho=0.074536\n", + "2019-01-31 00:21:38,670 : INFO : PROGRESS: pass 0, at document #362000/4922894\n", + "2019-01-31 00:21:40,126 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:40,392 : INFO : topic #42 (0.020): 0.040*\"german\" + 0.026*\"germani\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.013*\"vol\" + 0.012*\"der\" + 0.012*\"berlin\" + 0.011*\"jeremiah\" + 0.009*\"nazi\" + 0.008*\"itali\"\n", + "2019-01-31 00:21:40,393 : INFO : topic #45 (0.020): 0.020*\"black\" + 0.018*\"colder\" + 0.017*\"western\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"light\" + 0.009*\"illicit\" + 0.008*\"green\" + 0.006*\"hand\" + 0.006*\"fit\"\n", + "2019-01-31 00:21:40,394 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.029*\"offic\" + 0.025*\"minist\" + 0.023*\"seri\" + 0.020*\"gener\" + 0.018*\"member\" + 0.017*\"chickasaw\" + 0.016*\"serv\" + 0.016*\"appeas\" + 0.015*\"govern\"\n", + "2019-01-31 00:21:40,395 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.015*\"daphn\" + 0.014*\"wine\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.010*\"piec\"\n", + "2019-01-31 00:21:40,396 : INFO : topic #30 (0.020): 0.034*\"leagu\" + 0.033*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.025*\"crete\" + 0.023*\"folei\" + 0.023*\"scientist\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:21:40,402 : INFO : topic diff=0.015836, rho=0.074329\n", + "2019-01-31 00:21:40,557 : INFO : PROGRESS: pass 0, at document #364000/4922894\n", + "2019-01-31 00:21:42,004 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:42,270 : INFO : topic #20 (0.020): 0.129*\"scholar\" + 0.037*\"struggl\" + 0.030*\"high\" + 0.028*\"educ\" + 0.019*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.008*\"gothic\"\n", + "2019-01-31 00:21:42,272 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"septemb\" + 0.021*\"epiru\" + 0.018*\"teacher\" + 0.018*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:21:42,273 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"man\" + 0.005*\"litig\" + 0.005*\"blue\" + 0.005*\"night\" + 0.004*\"bewild\" + 0.004*\"vision\" + 0.003*\"introductori\" + 0.003*\"york\"\n", + "2019-01-31 00:21:42,274 : INFO : topic #30 (0.020): 0.034*\"leagu\" + 0.033*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.025*\"crete\" + 0.023*\"folei\" + 0.022*\"scientist\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"player\"\n", + "2019-01-31 00:21:42,276 : INFO : topic #39 (0.020): 0.028*\"canada\" + 0.025*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"canadian\" + 0.018*\"clot\" + 0.016*\"basketbal\" + 0.015*\"hoar\" + 0.014*\"toronto\" + 0.013*\"confer\" + 0.012*\"ontario\"\n", + "2019-01-31 00:21:42,281 : INFO : topic diff=0.015960, rho=0.074125\n", + "2019-01-31 00:21:42,436 : INFO : PROGRESS: pass 0, at document #366000/4922894\n", + "2019-01-31 00:21:43,895 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:44,161 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.037*\"sovereignti\" + 0.030*\"rural\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.023*\"turin\" + 0.020*\"personifi\" + 0.018*\"moscow\" + 0.015*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:21:44,162 : INFO : topic #39 (0.020): 0.028*\"canada\" + 0.025*\"canadian\" + 0.024*\"scientist\" + 0.024*\"taxpay\" + 0.019*\"clot\" + 0.016*\"basketbal\" + 0.015*\"hoar\" + 0.014*\"toronto\" + 0.013*\"confer\" + 0.012*\"ontario\"\n", + "2019-01-31 00:21:44,163 : INFO : topic #36 (0.020): 0.024*\"companhia\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.008*\"network\" + 0.008*\"prognosi\" + 0.008*\"base\" + 0.008*\"manag\" + 0.008*\"includ\" + 0.007*\"oper\" + 0.007*\"user\"\n", + "2019-01-31 00:21:44,164 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.016*\"buford\" + 0.012*\"briarwood\" + 0.012*\"rosenwald\" + 0.011*\"histor\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.009*\"lobe\"\n", + "2019-01-31 00:21:44,166 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.015*\"islam\" + 0.014*\"televis\" + 0.011*\"pakistan\" + 0.010*\"start\" + 0.010*\"sri\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.008*\"alam\"\n", + "2019-01-31 00:21:44,171 : INFO : topic diff=0.016409, rho=0.073922\n", + "2019-01-31 00:21:44,327 : INFO : PROGRESS: pass 0, at document #368000/4922894\n", + "2019-01-31 00:21:45,791 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:46,057 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.020*\"taxpay\" + 0.018*\"candid\" + 0.016*\"tornado\" + 0.014*\"driver\" + 0.013*\"find\" + 0.013*\"ret\" + 0.010*\"fool\" + 0.010*\"scientist\" + 0.010*\"champion\"\n", + "2019-01-31 00:21:46,058 : INFO : topic #41 (0.020): 0.050*\"citi\" + 0.041*\"new\" + 0.025*\"palmer\" + 0.025*\"year\" + 0.014*\"strategist\" + 0.014*\"center\" + 0.011*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:21:46,060 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.006*\"sack\" + 0.005*\"man\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"wander\"\n", + "2019-01-31 00:21:46,061 : INFO : topic #4 (0.020): 0.026*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"produc\" + 0.009*\"elabor\" + 0.009*\"veget\" + 0.009*\"candid\" + 0.008*\"encyclopedia\" + 0.007*\"stanc\"\n", + "2019-01-31 00:21:46,062 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"man\" + 0.005*\"litig\" + 0.005*\"blue\" + 0.005*\"night\" + 0.004*\"bewild\" + 0.003*\"vision\" + 0.003*\"york\" + 0.003*\"epiru\"\n", + "2019-01-31 00:21:46,068 : INFO : topic diff=0.017176, rho=0.073721\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:21:46,219 : INFO : PROGRESS: pass 0, at document #370000/4922894\n", + "2019-01-31 00:21:47,643 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:47,909 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.006*\"sack\" + 0.005*\"man\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:21:47,911 : INFO : topic #36 (0.020): 0.025*\"companhia\" + 0.009*\"network\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.008*\"prognosi\" + 0.008*\"base\" + 0.008*\"manag\" + 0.008*\"oper\" + 0.008*\"includ\" + 0.007*\"market\"\n", + "2019-01-31 00:21:47,912 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.005*\"théori\" + 0.005*\"method\" + 0.005*\"utopian\"\n", + "2019-01-31 00:21:47,913 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"man\" + 0.005*\"litig\" + 0.005*\"blue\" + 0.005*\"night\" + 0.004*\"bewild\" + 0.003*\"vision\" + 0.003*\"jolli\" + 0.003*\"york\"\n", + "2019-01-31 00:21:47,914 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.011*\"nativist\" + 0.011*\"fleet\" + 0.011*\"coalit\" + 0.010*\"blur\" + 0.009*\"bahá\"\n", + "2019-01-31 00:21:47,920 : INFO : topic diff=0.015674, rho=0.073521\n", + "2019-01-31 00:21:48,076 : INFO : PROGRESS: pass 0, at document #372000/4922894\n", + "2019-01-31 00:21:49,525 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:49,791 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.005*\"man\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:21:49,792 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.021*\"wife\" + 0.019*\"tourist\" + 0.017*\"martin\" + 0.015*\"champion\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"taxpay\" + 0.012*\"winner\"\n", + "2019-01-31 00:21:49,794 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.037*\"sovereignti\" + 0.031*\"rural\" + 0.023*\"reprint\" + 0.022*\"poison\" + 0.020*\"turin\" + 0.020*\"moscow\" + 0.020*\"personifi\" + 0.015*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 00:21:49,795 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.015*\"area\" + 0.014*\"mount\" + 0.008*\"palmer\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:21:49,796 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.056*\"vigour\" + 0.043*\"popolo\" + 0.041*\"tortur\" + 0.030*\"area\" + 0.027*\"regim\" + 0.026*\"cotton\" + 0.025*\"multitud\" + 0.021*\"commun\" + 0.020*\"citi\"\n", + "2019-01-31 00:21:49,802 : INFO : topic diff=0.018160, rho=0.073324\n", + "2019-01-31 00:21:49,958 : INFO : PROGRESS: pass 0, at document #374000/4922894\n", + "2019-01-31 00:21:51,396 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:51,662 : INFO : topic #34 (0.020): 0.076*\"start\" + 0.032*\"unionist\" + 0.031*\"cotton\" + 0.024*\"american\" + 0.018*\"new\" + 0.014*\"terri\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.013*\"north\" + 0.012*\"violent\"\n", + "2019-01-31 00:21:51,664 : INFO : topic #36 (0.020): 0.025*\"companhia\" + 0.009*\"network\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.008*\"prognosi\" + 0.008*\"base\" + 0.008*\"manag\" + 0.008*\"oper\" + 0.008*\"includ\" + 0.007*\"market\"\n", + "2019-01-31 00:21:51,665 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.019*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.017*\"folei\" + 0.015*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:21:51,666 : INFO : topic #29 (0.020): 0.012*\"govern\" + 0.011*\"start\" + 0.008*\"countri\" + 0.008*\"replac\" + 0.008*\"yawn\" + 0.007*\"million\" + 0.007*\"nation\" + 0.006*\"théori\" + 0.006*\"new\" + 0.006*\"summerhil\"\n", + "2019-01-31 00:21:51,667 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.024*\"minist\" + 0.022*\"seri\" + 0.022*\"serv\" + 0.019*\"gener\" + 0.018*\"member\" + 0.016*\"chickasaw\" + 0.015*\"appeas\" + 0.014*\"govern\"\n", + "2019-01-31 00:21:51,673 : INFO : topic diff=0.016402, rho=0.073127\n", + "2019-01-31 00:21:51,828 : INFO : PROGRESS: pass 0, at document #376000/4922894\n", + "2019-01-31 00:21:53,285 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:53,551 : INFO : topic #19 (0.020): 0.011*\"languag\" + 0.010*\"origin\" + 0.009*\"woodcut\" + 0.009*\"form\" + 0.008*\"mean\" + 0.008*\"charact\" + 0.008*\"uruguayan\" + 0.008*\"god\" + 0.007*\"like\" + 0.006*\"differ\"\n", + "2019-01-31 00:21:53,553 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.043*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.020*\"korean\" + 0.019*\"leah\" + 0.018*\"kim\" + 0.015*\"sourc\" + 0.011*\"wang\"\n", + "2019-01-31 00:21:53,554 : INFO : topic #34 (0.020): 0.076*\"start\" + 0.032*\"unionist\" + 0.031*\"cotton\" + 0.024*\"american\" + 0.018*\"new\" + 0.014*\"terri\" + 0.014*\"california\" + 0.013*\"violent\" + 0.013*\"warrior\" + 0.013*\"north\"\n", + "2019-01-31 00:21:53,555 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.014*\"king\" + 0.012*\"aza\" + 0.011*\"teufel\" + 0.010*\"battalion\" + 0.010*\"empath\" + 0.010*\"till\" + 0.008*\"forc\" + 0.008*\"centuri\" + 0.007*\"armi\"\n", + "2019-01-31 00:21:53,557 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.021*\"wife\" + 0.019*\"tourist\" + 0.016*\"martin\" + 0.015*\"champion\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"chamber\" + 0.012*\"winner\"\n", + "2019-01-31 00:21:53,562 : INFO : topic diff=0.014290, rho=0.072932\n", + "2019-01-31 00:21:53,716 : INFO : PROGRESS: pass 0, at document #378000/4922894\n", + "2019-01-31 00:21:55,148 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:55,414 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.013*\"king\" + 0.012*\"aza\" + 0.011*\"teufel\" + 0.010*\"battalion\" + 0.010*\"empath\" + 0.009*\"till\" + 0.008*\"forc\" + 0.008*\"centuri\" + 0.007*\"armi\"\n", + "2019-01-31 00:21:55,415 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.005*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:21:55,416 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"acid\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:21:55,417 : INFO : topic #17 (0.020): 0.067*\"church\" + 0.018*\"bishop\" + 0.017*\"christian\" + 0.017*\"cathol\" + 0.017*\"jpg\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.014*\"fifteenth\" + 0.014*\"centuri\" + 0.011*\"italian\"\n", + "2019-01-31 00:21:55,418 : INFO : topic #36 (0.020): 0.025*\"companhia\" + 0.009*\"network\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.008*\"prognosi\" + 0.008*\"base\" + 0.008*\"oper\" + 0.008*\"manag\" + 0.008*\"includ\" + 0.007*\"busi\"\n", + "2019-01-31 00:21:55,424 : INFO : topic diff=0.014800, rho=0.072739\n", + "2019-01-31 00:21:58,215 : INFO : -11.609 per-word bound, 3122.8 perplexity estimate based on a held-out corpus of 2000 documents with 582384 words\n", + "2019-01-31 00:21:58,215 : INFO : PROGRESS: pass 0, at document #380000/4922894\n", + "2019-01-31 00:21:59,678 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:21:59,944 : INFO : topic #4 (0.020): 0.026*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.009*\"produc\" + 0.009*\"candid\" + 0.009*\"veget\" + 0.008*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:21:59,945 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.023*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.011*\"briarwood\" + 0.011*\"histor\" + 0.011*\"constitut\" + 0.011*\"rosenwald\" + 0.010*\"strategist\" + 0.009*\"lobe\"\n", + "2019-01-31 00:21:59,947 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.024*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"josé\" + 0.010*\"santa\"\n", + "2019-01-31 00:21:59,948 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.011*\"airbu\" + 0.010*\"airmen\"\n", + "2019-01-31 00:21:59,948 : INFO : topic #40 (0.020): 0.099*\"unit\" + 0.025*\"collector\" + 0.020*\"institut\" + 0.019*\"schuster\" + 0.016*\"student\" + 0.015*\"professor\" + 0.015*\"requir\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:21:59,954 : INFO : topic diff=0.016913, rho=0.072548\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:22:00,162 : INFO : PROGRESS: pass 0, at document #382000/4922894\n", + "2019-01-31 00:22:01,601 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:01,866 : INFO : topic #35 (0.020): 0.050*\"russia\" + 0.033*\"sovereignti\" + 0.028*\"rural\" + 0.025*\"poison\" + 0.022*\"reprint\" + 0.021*\"personifi\" + 0.018*\"moscow\" + 0.017*\"turin\" + 0.017*\"poland\" + 0.015*\"shirin\"\n", + "2019-01-31 00:22:01,868 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.044*\"franc\" + 0.029*\"pari\" + 0.021*\"jean\" + 0.021*\"sail\" + 0.015*\"daphn\" + 0.013*\"loui\" + 0.012*\"lazi\" + 0.012*\"wine\" + 0.011*\"piec\"\n", + "2019-01-31 00:22:01,869 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.020*\"taxpay\" + 0.017*\"ret\" + 0.017*\"candid\" + 0.014*\"driver\" + 0.014*\"tornado\" + 0.012*\"find\" + 0.010*\"horac\" + 0.010*\"scientist\" + 0.010*\"fool\"\n", + "2019-01-31 00:22:01,870 : INFO : topic #29 (0.020): 0.011*\"govern\" + 0.011*\"start\" + 0.008*\"countri\" + 0.008*\"yawn\" + 0.008*\"replac\" + 0.008*\"million\" + 0.007*\"nation\" + 0.006*\"théori\" + 0.006*\"new\" + 0.006*\"function\"\n", + "2019-01-31 00:22:01,872 : INFO : topic #43 (0.020): 0.070*\"elect\" + 0.058*\"parti\" + 0.025*\"democrat\" + 0.025*\"voluntari\" + 0.021*\"member\" + 0.019*\"polici\" + 0.015*\"republ\" + 0.015*\"selma\" + 0.015*\"bypass\" + 0.015*\"seaport\"\n", + "2019-01-31 00:22:01,877 : INFO : topic diff=0.015176, rho=0.072357\n", + "2019-01-31 00:22:02,029 : INFO : PROGRESS: pass 0, at document #384000/4922894\n", + "2019-01-31 00:22:03,465 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:03,731 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.028*\"factor\" + 0.024*\"adulthood\" + 0.016*\"hostil\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"live\" + 0.011*\"plaisir\" + 0.010*\"yawn\" + 0.009*\"genu\"\n", + "2019-01-31 00:22:03,733 : INFO : topic #39 (0.020): 0.028*\"canada\" + 0.024*\"canadian\" + 0.023*\"scientist\" + 0.023*\"taxpay\" + 0.017*\"clot\" + 0.017*\"basketbal\" + 0.015*\"hoar\" + 0.014*\"toronto\" + 0.012*\"ontario\" + 0.012*\"confer\"\n", + "2019-01-31 00:22:03,734 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.014*\"pope\" + 0.013*\"scot\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.010*\"fleet\" + 0.010*\"coalit\" + 0.009*\"class\"\n", + "2019-01-31 00:22:03,735 : INFO : topic #45 (0.020): 0.020*\"black\" + 0.017*\"colder\" + 0.017*\"western\" + 0.014*\"record\" + 0.010*\"blind\" + 0.009*\"light\" + 0.009*\"illicit\" + 0.008*\"green\" + 0.006*\"fit\" + 0.006*\"arm\"\n", + "2019-01-31 00:22:03,736 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"southern\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.005*\"method\" + 0.005*\"differ\" + 0.005*\"poet\"\n", + "2019-01-31 00:22:03,742 : INFO : topic diff=0.015016, rho=0.072169\n", + "2019-01-31 00:22:03,896 : INFO : PROGRESS: pass 0, at document #386000/4922894\n", + "2019-01-31 00:22:05,338 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:05,605 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.011*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\" + 0.008*\"mexican–american\"\n", + "2019-01-31 00:22:05,606 : INFO : topic #39 (0.020): 0.029*\"canada\" + 0.025*\"canadian\" + 0.023*\"scientist\" + 0.022*\"taxpay\" + 0.017*\"clot\" + 0.016*\"basketbal\" + 0.015*\"hoar\" + 0.014*\"toronto\" + 0.013*\"ontario\" + 0.012*\"confer\"\n", + "2019-01-31 00:22:05,607 : INFO : topic #16 (0.020): 0.032*\"priest\" + 0.021*\"king\" + 0.019*\"quarterli\" + 0.018*\"grammat\" + 0.017*\"maria\" + 0.016*\"duke\" + 0.015*\"idiosyncrat\" + 0.015*\"rotterdam\" + 0.014*\"count\" + 0.014*\"princ\"\n", + "2019-01-31 00:22:05,608 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"crete\" + 0.023*\"scientist\" + 0.023*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"player\"\n", + "2019-01-31 00:22:05,609 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.005*\"differ\" + 0.005*\"method\"\n", + "2019-01-31 00:22:05,615 : INFO : topic diff=0.014705, rho=0.071982\n", + "2019-01-31 00:22:05,769 : INFO : PROGRESS: pass 0, at document #388000/4922894\n", + "2019-01-31 00:22:07,209 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:07,475 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.023*\"player\" + 0.021*\"scientist\" + 0.020*\"place\" + 0.017*\"taxpay\" + 0.012*\"folei\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.010*\"yard\" + 0.009*\"barber\"\n", + "2019-01-31 00:22:07,476 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"man\" + 0.005*\"litig\" + 0.005*\"blue\" + 0.005*\"night\" + 0.004*\"bewild\" + 0.003*\"vision\" + 0.003*\"epiru\" + 0.003*\"york\"\n", + "2019-01-31 00:22:07,477 : INFO : topic #47 (0.020): 0.072*\"muscl\" + 0.033*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"jack\" + 0.012*\"physician\"\n", + "2019-01-31 00:22:07,478 : INFO : topic #17 (0.020): 0.065*\"church\" + 0.019*\"sail\" + 0.017*\"cathol\" + 0.017*\"bishop\" + 0.016*\"christian\" + 0.016*\"jpg\" + 0.014*\"fifteenth\" + 0.014*\"retroflex\" + 0.013*\"centuri\" + 0.011*\"italian\"\n", + "2019-01-31 00:22:07,479 : INFO : topic #40 (0.020): 0.097*\"unit\" + 0.025*\"collector\" + 0.020*\"institut\" + 0.020*\"schuster\" + 0.016*\"student\" + 0.015*\"requir\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:22:07,485 : INFO : topic diff=0.016741, rho=0.071796\n", + "2019-01-31 00:22:07,641 : INFO : PROGRESS: pass 0, at document #390000/4922894\n", + "2019-01-31 00:22:09,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:09,354 : INFO : topic #32 (0.020): 0.058*\"district\" + 0.053*\"vigour\" + 0.042*\"popolo\" + 0.042*\"tortur\" + 0.029*\"cotton\" + 0.029*\"regim\" + 0.029*\"area\" + 0.024*\"multitud\" + 0.021*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:22:09,355 : INFO : topic #3 (0.020): 0.039*\"present\" + 0.027*\"offic\" + 0.025*\"minist\" + 0.021*\"seri\" + 0.021*\"serv\" + 0.019*\"member\" + 0.019*\"gener\" + 0.016*\"chickasaw\" + 0.015*\"govern\" + 0.014*\"appeas\"\n", + "2019-01-31 00:22:09,356 : INFO : topic #2 (0.020): 0.043*\"shield\" + 0.043*\"isl\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"renaiss\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.011*\"walter\" + 0.010*\"buford\"\n", + "2019-01-31 00:22:09,358 : INFO : topic #45 (0.020): 0.021*\"black\" + 0.017*\"colder\" + 0.017*\"western\" + 0.014*\"record\" + 0.010*\"blind\" + 0.009*\"light\" + 0.008*\"illicit\" + 0.008*\"green\" + 0.007*\"fit\" + 0.006*\"color\"\n", + "2019-01-31 00:22:09,359 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"have\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:22:09,365 : INFO : topic diff=0.017004, rho=0.071611\n", + "2019-01-31 00:22:09,526 : INFO : PROGRESS: pass 0, at document #392000/4922894\n", + "2019-01-31 00:22:10,993 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:11,259 : INFO : topic #35 (0.020): 0.050*\"russia\" + 0.034*\"sovereignti\" + 0.030*\"rural\" + 0.025*\"poison\" + 0.022*\"reprint\" + 0.021*\"personifi\" + 0.018*\"poland\" + 0.017*\"moscow\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 00:22:11,260 : INFO : topic #40 (0.020): 0.097*\"unit\" + 0.025*\"collector\" + 0.021*\"institut\" + 0.020*\"schuster\" + 0.016*\"student\" + 0.016*\"requir\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:22:11,261 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.023*\"hous\" + 0.023*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"rosenwald\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.009*\"linear\"\n", + "2019-01-31 00:22:11,262 : INFO : topic #45 (0.020): 0.020*\"black\" + 0.017*\"western\" + 0.017*\"colder\" + 0.014*\"record\" + 0.010*\"blind\" + 0.009*\"light\" + 0.008*\"illicit\" + 0.008*\"green\" + 0.007*\"fit\" + 0.006*\"color\"\n", + "2019-01-31 00:22:11,263 : INFO : topic #36 (0.020): 0.025*\"companhia\" + 0.009*\"network\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.008*\"manag\" + 0.008*\"prognosi\" + 0.008*\"base\" + 0.008*\"oper\" + 0.008*\"includ\" + 0.008*\"market\"\n", + "2019-01-31 00:22:11,269 : INFO : topic diff=0.018016, rho=0.071429\n", + "2019-01-31 00:22:11,425 : INFO : PROGRESS: pass 0, at document #394000/4922894\n", + "2019-01-31 00:22:12,856 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:22:13,122 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.024*\"hous\" + 0.023*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"rosenwald\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.009*\"linear\"\n", + "2019-01-31 00:22:13,124 : INFO : topic #45 (0.020): 0.021*\"black\" + 0.017*\"western\" + 0.016*\"colder\" + 0.014*\"record\" + 0.010*\"blind\" + 0.009*\"light\" + 0.008*\"illicit\" + 0.008*\"green\" + 0.007*\"fit\" + 0.006*\"color\"\n", + "2019-01-31 00:22:13,125 : INFO : topic #42 (0.020): 0.040*\"german\" + 0.026*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.012*\"berlin\" + 0.011*\"der\" + 0.009*\"jeremiah\" + 0.009*\"europ\" + 0.008*\"european\"\n", + "2019-01-31 00:22:13,126 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"have\" + 0.008*\"hormon\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:22:13,127 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.006*\"sack\" + 0.005*\"man\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"fraud\"\n", + "2019-01-31 00:22:13,133 : INFO : topic diff=0.014678, rho=0.071247\n", + "2019-01-31 00:22:13,293 : INFO : PROGRESS: pass 0, at document #396000/4922894\n", + "2019-01-31 00:22:14,766 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:15,032 : INFO : topic #8 (0.020): 0.032*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.011*\"polaris\" + 0.010*\"legal\" + 0.007*\"justic\" + 0.007*\"judaism\"\n", + "2019-01-31 00:22:15,033 : INFO : topic #17 (0.020): 0.064*\"church\" + 0.018*\"sail\" + 0.018*\"cathol\" + 0.017*\"christian\" + 0.017*\"bishop\" + 0.015*\"jpg\" + 0.014*\"centuri\" + 0.013*\"retroflex\" + 0.013*\"fifteenth\" + 0.010*\"italian\"\n", + "2019-01-31 00:22:15,034 : INFO : topic #46 (0.020): 0.020*\"wind\" + 0.018*\"stop\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.016*\"norwegian\" + 0.016*\"sweden\" + 0.015*\"damag\" + 0.012*\"treeless\" + 0.012*\"turkish\" + 0.011*\"iceland\"\n", + "2019-01-31 00:22:15,035 : INFO : topic #29 (0.020): 0.011*\"govern\" + 0.011*\"start\" + 0.008*\"countri\" + 0.008*\"yawn\" + 0.008*\"million\" + 0.007*\"replac\" + 0.007*\"nation\" + 0.006*\"function\" + 0.006*\"théori\" + 0.006*\"new\"\n", + "2019-01-31 00:22:15,037 : INFO : topic #26 (0.020): 0.033*\"woman\" + 0.032*\"workplac\" + 0.030*\"champion\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.022*\"event\" + 0.020*\"medal\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"alic\"\n", + "2019-01-31 00:22:15,042 : INFO : topic diff=0.016258, rho=0.071067\n", + "2019-01-31 00:22:15,197 : INFO : PROGRESS: pass 0, at document #398000/4922894\n", + "2019-01-31 00:22:16,641 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:16,907 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"septemb\" + 0.022*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:22:16,908 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.029*\"incumb\" + 0.013*\"televis\" + 0.013*\"pakistan\" + 0.011*\"islam\" + 0.011*\"muskoge\" + 0.010*\"start\" + 0.009*\"alam\" + 0.009*\"sri\" + 0.009*\"tajikistan\"\n", + "2019-01-31 00:22:16,910 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"walter\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.016*\"com\" + 0.015*\"oper\" + 0.014*\"militari\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"airmen\"\n", + "2019-01-31 00:22:16,911 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.012*\"bone\" + 0.012*\"john\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:22:16,912 : INFO : topic #20 (0.020): 0.132*\"scholar\" + 0.039*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.019*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"gothic\" + 0.009*\"class\"\n", + "2019-01-31 00:22:16,918 : INFO : topic diff=0.017548, rho=0.070888\n", + "2019-01-31 00:22:19,603 : INFO : -11.685 per-word bound, 3292.1 perplexity estimate based on a held-out corpus of 2000 documents with 516897 words\n", + "2019-01-31 00:22:19,604 : INFO : PROGRESS: pass 0, at document #400000/4922894\n", + "2019-01-31 00:22:21,026 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:21,292 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.068*\"best\" + 0.030*\"jacksonvil\" + 0.030*\"yawn\" + 0.025*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.012*\"prison\"\n", + "2019-01-31 00:22:21,293 : INFO : topic #4 (0.020): 0.025*\"enfranchis\" + 0.017*\"elabor\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"produc\" + 0.010*\"mode\" + 0.009*\"candid\" + 0.008*\"veget\" + 0.008*\"encyclopedia\" + 0.007*\"spectacl\"\n", + "2019-01-31 00:22:21,295 : INFO : topic #15 (0.020): 0.014*\"small\" + 0.013*\"develop\" + 0.010*\"organ\" + 0.010*\"requir\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"student\" + 0.008*\"human\" + 0.008*\"socialist\"\n", + "2019-01-31 00:22:21,296 : INFO : topic #2 (0.020): 0.043*\"shield\" + 0.041*\"isl\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"fleet\" + 0.010*\"blur\" + 0.010*\"nativist\" + 0.010*\"walter\" + 0.010*\"coalit\"\n", + "2019-01-31 00:22:21,297 : INFO : topic #0 (0.020): 0.075*\"statewid\" + 0.046*\"arsen\" + 0.038*\"line\" + 0.031*\"museo\" + 0.030*\"raid\" + 0.018*\"traceabl\" + 0.018*\"pain\" + 0.017*\"serv\" + 0.016*\"word\" + 0.015*\"artist\"\n", + "2019-01-31 00:22:21,302 : INFO : topic diff=0.016718, rho=0.070711\n", + "2019-01-31 00:22:21,458 : INFO : PROGRESS: pass 0, at document #402000/4922894\n", + "2019-01-31 00:22:22,910 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:23,177 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.030*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"televis\" + 0.011*\"islam\" + 0.010*\"alam\" + 0.010*\"start\" + 0.010*\"sri\" + 0.010*\"muskoge\" + 0.009*\"tajikistan\"\n", + "2019-01-31 00:22:23,178 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.069*\"best\" + 0.031*\"jacksonvil\" + 0.030*\"yawn\" + 0.025*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.012*\"prison\"\n", + "2019-01-31 00:22:23,179 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.021*\"word\" + 0.017*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:22:23,181 : INFO : topic #20 (0.020): 0.131*\"scholar\" + 0.039*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.020*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 00:22:23,182 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.021*\"del\" + 0.015*\"mexico\" + 0.014*\"soviet\" + 0.013*\"francisco\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"josé\" + 0.011*\"carlo\"\n", + "2019-01-31 00:22:23,188 : INFO : topic diff=0.013449, rho=0.070535\n", + "2019-01-31 00:22:23,342 : INFO : PROGRESS: pass 0, at document #404000/4922894\n", + "2019-01-31 00:22:24,794 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:25,060 : INFO : topic #30 (0.020): 0.034*\"leagu\" + 0.033*\"cleveland\" + 0.030*\"place\" + 0.029*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:22:25,061 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.033*\"unionist\" + 0.033*\"cotton\" + 0.024*\"american\" + 0.019*\"new\" + 0.014*\"california\" + 0.014*\"terri\" + 0.014*\"north\" + 0.012*\"violent\" + 0.012*\"warrior\"\n", + "2019-01-31 00:22:25,062 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.011*\"landslid\" + 0.010*\"champion\" + 0.010*\"théori\"\n", + "2019-01-31 00:22:25,064 : INFO : topic #36 (0.020): 0.025*\"companhia\" + 0.009*\"network\" + 0.009*\"serv\" + 0.009*\"manag\" + 0.009*\"develop\" + 0.008*\"includ\" + 0.008*\"prognosi\" + 0.008*\"oper\" + 0.008*\"base\" + 0.007*\"busi\"\n", + "2019-01-31 00:22:25,065 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.025*\"adulthood\" + 0.017*\"hostil\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"live\" + 0.010*\"genu\" + 0.010*\"plaisir\" + 0.010*\"yawn\"\n", + "2019-01-31 00:22:25,071 : INFO : topic diff=0.014262, rho=0.070360\n", + "2019-01-31 00:22:25,238 : INFO : PROGRESS: pass 0, at document #406000/4922894\n", + "2019-01-31 00:22:26,713 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:26,979 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.012*\"rival\" + 0.011*\"georg\" + 0.009*\"paul\" + 0.009*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"rhyme\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:22:26,980 : INFO : topic #39 (0.020): 0.032*\"canada\" + 0.027*\"canadian\" + 0.025*\"taxpay\" + 0.021*\"scientist\" + 0.017*\"clot\" + 0.016*\"basketbal\" + 0.015*\"hoar\" + 0.014*\"ontario\" + 0.014*\"toronto\" + 0.011*\"confer\"\n", + "2019-01-31 00:22:26,982 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.033*\"unionist\" + 0.032*\"cotton\" + 0.024*\"american\" + 0.019*\"new\" + 0.014*\"terri\" + 0.014*\"california\" + 0.014*\"north\" + 0.012*\"violent\" + 0.012*\"warrior\"\n", + "2019-01-31 00:22:26,983 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.019*\"damag\" + 0.017*\"wind\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"treeless\" + 0.012*\"turkish\" + 0.011*\"farid\"\n", + "2019-01-31 00:22:26,984 : INFO : topic #42 (0.020): 0.042*\"german\" + 0.029*\"germani\" + 0.014*\"jewish\" + 0.014*\"vol\" + 0.014*\"israel\" + 0.011*\"der\" + 0.011*\"berlin\" + 0.009*\"jeremiah\" + 0.008*\"europ\" + 0.008*\"itali\"\n", + "2019-01-31 00:22:26,990 : INFO : topic diff=0.017943, rho=0.070186\n", + "2019-01-31 00:22:27,146 : INFO : PROGRESS: pass 0, at document #408000/4922894\n", + "2019-01-31 00:22:28,597 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:28,863 : INFO : topic #15 (0.020): 0.014*\"develop\" + 0.013*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"requir\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.008*\"student\" + 0.008*\"human\" + 0.007*\"socialist\"\n", + "2019-01-31 00:22:28,865 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.011*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\" + 0.008*\"mexican–american\"\n", + "2019-01-31 00:22:28,866 : INFO : topic #16 (0.020): 0.032*\"priest\" + 0.023*\"king\" + 0.020*\"quarterli\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"portugues\" + 0.017*\"grammat\" + 0.016*\"maria\" + 0.015*\"brazil\" + 0.014*\"rotterdam\"\n", + "2019-01-31 00:22:28,867 : INFO : topic #30 (0.020): 0.034*\"leagu\" + 0.033*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"player\"\n", + "2019-01-31 00:22:28,868 : INFO : topic #3 (0.020): 0.045*\"present\" + 0.032*\"minist\" + 0.029*\"offic\" + 0.020*\"seri\" + 0.019*\"member\" + 0.019*\"gener\" + 0.018*\"serv\" + 0.016*\"prime\" + 0.016*\"chickasaw\" + 0.015*\"govern\"\n", + "2019-01-31 00:22:28,874 : INFO : topic diff=0.015836, rho=0.070014\n", + "2019-01-31 00:22:29,027 : INFO : PROGRESS: pass 0, at document #410000/4922894\n", + "2019-01-31 00:22:30,468 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:30,734 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"servitud\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.005*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:22:30,736 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.006*\"sack\" + 0.005*\"man\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:22:30,737 : INFO : topic #31 (0.020): 0.060*\"fusiform\" + 0.022*\"player\" + 0.021*\"scientist\" + 0.021*\"place\" + 0.019*\"taxpay\" + 0.012*\"yard\" + 0.011*\"folei\" + 0.011*\"leagu\" + 0.010*\"ruler\" + 0.008*\"barber\"\n", + "2019-01-31 00:22:30,738 : INFO : topic #7 (0.020): 0.020*\"di\" + 0.020*\"snatch\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"john\" + 0.012*\"bone\" + 0.012*\"life\" + 0.011*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:22:30,740 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.014*\"king\" + 0.011*\"aza\" + 0.010*\"teufel\" + 0.010*\"battalion\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.008*\"till\" + 0.008*\"centuri\" + 0.008*\"armi\"\n", + "2019-01-31 00:22:30,745 : INFO : topic diff=0.015655, rho=0.069843\n", + "2019-01-31 00:22:30,902 : INFO : PROGRESS: pass 0, at document #412000/4922894\n", + "2019-01-31 00:22:32,348 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:32,614 : INFO : topic #13 (0.020): 0.029*\"australia\" + 0.028*\"new\" + 0.025*\"sourc\" + 0.024*\"australian\" + 0.023*\"england\" + 0.023*\"london\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.017*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:22:32,615 : INFO : topic #8 (0.020): 0.031*\"law\" + 0.023*\"cortic\" + 0.022*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.010*\"legal\" + 0.007*\"rudolf\" + 0.007*\"judaism\"\n", + "2019-01-31 00:22:32,616 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.021*\"word\" + 0.017*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:22:32,618 : INFO : topic #30 (0.020): 0.034*\"leagu\" + 0.033*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"player\"\n", + "2019-01-31 00:22:32,619 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.020*\"taxpay\" + 0.017*\"candid\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.010*\"landslid\" + 0.010*\"champion\" + 0.010*\"fool\"\n", + "2019-01-31 00:22:32,625 : INFO : topic diff=0.014874, rho=0.069673\n", + "2019-01-31 00:22:32,793 : INFO : PROGRESS: pass 0, at document #414000/4922894\n", + "2019-01-31 00:22:34,248 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:34,514 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.011*\"georg\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"mexican–american\" + 0.008*\"paul\"\n", + "2019-01-31 00:22:34,516 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"john\" + 0.012*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:22:34,517 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.023*\"tourist\" + 0.017*\"martin\" + 0.016*\"champion\" + 0.015*\"winner\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"chamber\"\n", + "2019-01-31 00:22:34,518 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.015*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:22:34,520 : INFO : topic #19 (0.020): 0.011*\"languag\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.007*\"mean\" + 0.007*\"like\" + 0.007*\"anim\" + 0.006*\"god\"\n", + "2019-01-31 00:22:34,525 : INFO : topic diff=0.015824, rho=0.069505\n", + "2019-01-31 00:22:34,738 : INFO : PROGRESS: pass 0, at document #416000/4922894\n", + "2019-01-31 00:22:36,201 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:36,467 : INFO : topic #30 (0.020): 0.034*\"leagu\" + 0.034*\"cleveland\" + 0.030*\"place\" + 0.029*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"player\"\n", + "2019-01-31 00:22:36,468 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.015*\"elabor\" + 0.010*\"mode\" + 0.010*\"produc\" + 0.009*\"veget\" + 0.009*\"candid\" + 0.008*\"offset\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:22:36,470 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.016*\"western\" + 0.016*\"colder\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"light\" + 0.008*\"illicit\" + 0.007*\"green\" + 0.007*\"hand\" + 0.006*\"depress\"\n", + "2019-01-31 00:22:36,471 : INFO : topic #40 (0.020): 0.097*\"unit\" + 0.027*\"collector\" + 0.020*\"institut\" + 0.020*\"schuster\" + 0.016*\"student\" + 0.016*\"professor\" + 0.015*\"requir\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:22:36,472 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.057*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.018*\"polici\" + 0.015*\"bypass\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"liber\"\n", + "2019-01-31 00:22:36,478 : INFO : topic diff=0.015791, rho=0.069338\n", + "2019-01-31 00:22:36,635 : INFO : PROGRESS: pass 0, at document #418000/4922894\n", + "2019-01-31 00:22:38,107 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:38,373 : INFO : topic #15 (0.020): 0.013*\"develop\" + 0.013*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"requir\" + 0.009*\"cultur\" + 0.008*\"student\" + 0.008*\"human\" + 0.007*\"group\"\n", + "2019-01-31 00:22:38,374 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.025*\"act\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.010*\"legal\" + 0.007*\"rudolf\" + 0.007*\"unionist\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:22:38,375 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.014*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.009*\"veget\" + 0.009*\"candid\" + 0.008*\"encyclopedia\" + 0.007*\"offset\"\n", + "2019-01-31 00:22:38,376 : INFO : topic #0 (0.020): 0.071*\"statewid\" + 0.044*\"arsen\" + 0.039*\"line\" + 0.033*\"raid\" + 0.028*\"museo\" + 0.018*\"traceabl\" + 0.018*\"pain\" + 0.017*\"serv\" + 0.015*\"exhaust\" + 0.014*\"word\"\n", + "2019-01-31 00:22:38,378 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.029*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.013*\"player\"\n", + "2019-01-31 00:22:38,383 : INFO : topic diff=0.014223, rho=0.069171\n", + "2019-01-31 00:22:41,174 : INFO : -11.780 per-word bound, 3516.9 perplexity estimate based on a held-out corpus of 2000 documents with 580823 words\n", + "2019-01-31 00:22:41,175 : INFO : PROGRESS: pass 0, at document #420000/4922894\n", + "2019-01-31 00:22:42,637 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:42,902 : INFO : topic #16 (0.020): 0.030*\"priest\" + 0.023*\"king\" + 0.020*\"quarterli\" + 0.019*\"duke\" + 0.017*\"portugues\" + 0.016*\"maria\" + 0.016*\"idiosyncrat\" + 0.016*\"grammat\" + 0.015*\"brazil\" + 0.013*\"rotterdam\"\n", + "2019-01-31 00:22:42,903 : INFO : topic #1 (0.020): 0.049*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.011*\"summer\"\n", + "2019-01-31 00:22:42,904 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.014*\"elabor\" + 0.010*\"mode\" + 0.010*\"produc\" + 0.009*\"veget\" + 0.009*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"offset\"\n", + "2019-01-31 00:22:42,906 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.029*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"player\"\n", + "2019-01-31 00:22:42,907 : INFO : topic #46 (0.020): 0.028*\"damag\" + 0.019*\"stop\" + 0.016*\"wind\" + 0.015*\"sweden\" + 0.015*\"swedish\" + 0.015*\"treeless\" + 0.014*\"norwai\" + 0.013*\"ton\" + 0.013*\"replac\" + 0.013*\"norwegian\"\n", + "2019-01-31 00:22:42,913 : INFO : topic diff=0.014296, rho=0.069007\n", + "2019-01-31 00:22:43,068 : INFO : PROGRESS: pass 0, at document #422000/4922894\n", + "2019-01-31 00:22:44,534 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:44,804 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"hormon\" + 0.006*\"acid\" + 0.006*\"effect\"\n", + "2019-01-31 00:22:44,806 : INFO : topic #40 (0.020): 0.096*\"unit\" + 0.026*\"collector\" + 0.021*\"schuster\" + 0.021*\"institut\" + 0.016*\"student\" + 0.016*\"requir\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:22:44,807 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.053*\"franc\" + 0.030*\"pari\" + 0.026*\"sail\" + 0.023*\"jean\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.011*\"loui\" + 0.010*\"piec\" + 0.009*\"focal\"\n", + "2019-01-31 00:22:44,809 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.009*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.004*\"night\" + 0.004*\"bewild\" + 0.004*\"ladi\" + 0.003*\"healthcar\" + 0.003*\"york\"\n", + "2019-01-31 00:22:44,810 : INFO : topic #20 (0.020): 0.132*\"scholar\" + 0.037*\"struggl\" + 0.031*\"high\" + 0.028*\"educ\" + 0.020*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"gothic\" + 0.009*\"class\"\n", + "2019-01-31 00:22:44,816 : INFO : topic diff=0.015195, rho=0.068843\n", + "2019-01-31 00:22:44,969 : INFO : PROGRESS: pass 0, at document #424000/4922894\n", + "2019-01-31 00:22:46,406 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:46,672 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.012*\"bone\" + 0.012*\"john\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:22:46,673 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.015*\"area\" + 0.014*\"mount\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 00:22:46,675 : INFO : topic #48 (0.020): 0.078*\"march\" + 0.078*\"sens\" + 0.078*\"octob\" + 0.075*\"april\" + 0.074*\"notion\" + 0.073*\"august\" + 0.072*\"januari\" + 0.072*\"juli\" + 0.069*\"judici\" + 0.068*\"decatur\"\n", + "2019-01-31 00:22:46,676 : INFO : topic #34 (0.020): 0.076*\"start\" + 0.033*\"unionist\" + 0.031*\"cotton\" + 0.023*\"american\" + 0.022*\"new\" + 0.014*\"terri\" + 0.013*\"california\" + 0.013*\"warrior\" + 0.013*\"north\" + 0.012*\"violent\"\n", + "2019-01-31 00:22:46,677 : INFO : topic #31 (0.020): 0.059*\"fusiform\" + 0.023*\"player\" + 0.021*\"scientist\" + 0.020*\"place\" + 0.019*\"taxpay\" + 0.013*\"folei\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.009*\"yard\" + 0.008*\"clot\"\n", + "2019-01-31 00:22:46,683 : INFO : topic diff=0.014879, rho=0.068680\n", + "2019-01-31 00:22:46,842 : INFO : PROGRESS: pass 0, at document #426000/4922894\n", + "2019-01-31 00:22:48,315 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:48,581 : INFO : topic #35 (0.020): 0.049*\"russia\" + 0.031*\"rural\" + 0.031*\"sovereignti\" + 0.026*\"shirin\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.022*\"reprint\" + 0.019*\"turin\" + 0.018*\"moscow\" + 0.016*\"poland\"\n", + "2019-01-31 00:22:48,583 : INFO : topic #17 (0.020): 0.066*\"church\" + 0.019*\"cathol\" + 0.018*\"bishop\" + 0.018*\"christian\" + 0.015*\"sail\" + 0.014*\"jpg\" + 0.014*\"centuri\" + 0.013*\"retroflex\" + 0.012*\"fifteenth\" + 0.010*\"italian\"\n", + "2019-01-31 00:22:48,584 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.021*\"word\" + 0.018*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.011*\"author\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:22:48,585 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.017*\"western\" + 0.016*\"colder\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"illicit\" + 0.009*\"light\" + 0.008*\"hand\" + 0.008*\"green\" + 0.006*\"depress\"\n", + "2019-01-31 00:22:48,586 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.016*\"martin\" + 0.016*\"champion\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"winner\" + 0.013*\"chamber\"\n", + "2019-01-31 00:22:48,592 : INFO : topic diff=0.014034, rho=0.068519\n", + "2019-01-31 00:22:48,747 : INFO : PROGRESS: pass 0, at document #428000/4922894\n", + "2019-01-31 00:22:50,204 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:50,469 : INFO : topic #19 (0.020): 0.011*\"languag\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"dynam\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.007*\"mean\" + 0.007*\"like\" + 0.006*\"god\"\n", + "2019-01-31 00:22:50,471 : INFO : topic #31 (0.020): 0.060*\"fusiform\" + 0.022*\"player\" + 0.021*\"scientist\" + 0.020*\"place\" + 0.020*\"taxpay\" + 0.013*\"folei\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.009*\"yard\" + 0.009*\"clot\"\n", + "2019-01-31 00:22:50,472 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.071*\"best\" + 0.036*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"noll\" + 0.018*\"festiv\" + 0.017*\"women\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 00:22:50,473 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.044*\"arsen\" + 0.039*\"line\" + 0.033*\"raid\" + 0.028*\"museo\" + 0.019*\"traceabl\" + 0.018*\"pain\" + 0.017*\"serv\" + 0.015*\"exhaust\" + 0.014*\"word\"\n", + "2019-01-31 00:22:50,474 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.014*\"king\" + 0.012*\"aza\" + 0.011*\"teufel\" + 0.009*\"battalion\" + 0.009*\"empath\" + 0.009*\"till\" + 0.008*\"centuri\" + 0.008*\"forc\" + 0.008*\"armi\"\n", + "2019-01-31 00:22:50,480 : INFO : topic diff=0.013507, rho=0.068359\n", + "2019-01-31 00:22:50,637 : INFO : PROGRESS: pass 0, at document #430000/4922894\n", + "2019-01-31 00:22:52,093 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:52,363 : INFO : topic #18 (0.020): 0.008*\"théori\" + 0.007*\"kill\" + 0.007*\"later\" + 0.006*\"sack\" + 0.005*\"dai\" + 0.005*\"man\" + 0.005*\"retrospect\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:22:52,365 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"televis\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.010*\"tajikistan\" + 0.010*\"sri\" + 0.010*\"start\" + 0.009*\"pradesh\" + 0.009*\"khalsa\"\n", + "2019-01-31 00:22:52,366 : INFO : topic #35 (0.020): 0.048*\"russia\" + 0.031*\"rural\" + 0.031*\"sovereignti\" + 0.028*\"poison\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.023*\"shirin\" + 0.018*\"poland\" + 0.017*\"turin\" + 0.017*\"moscow\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:22:52,368 : INFO : topic #8 (0.020): 0.030*\"law\" + 0.024*\"cortic\" + 0.023*\"act\" + 0.017*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.010*\"legal\" + 0.008*\"justic\" + 0.007*\"judaism\"\n", + "2019-01-31 00:22:52,369 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.071*\"best\" + 0.036*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"noll\" + 0.018*\"festiv\" + 0.017*\"women\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 00:22:52,375 : INFO : topic diff=0.015549, rho=0.068199\n", + "2019-01-31 00:22:52,540 : INFO : PROGRESS: pass 0, at document #432000/4922894\n", + "2019-01-31 00:22:54,045 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:54,311 : INFO : topic #29 (0.020): 0.011*\"govern\" + 0.011*\"start\" + 0.008*\"countri\" + 0.008*\"yawn\" + 0.008*\"million\" + 0.007*\"replac\" + 0.006*\"nation\" + 0.006*\"théori\" + 0.006*\"function\" + 0.006*\"new\"\n", + "2019-01-31 00:22:54,312 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.049*\"franc\" + 0.029*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.015*\"lazi\" + 0.012*\"piec\" + 0.012*\"loui\" + 0.009*\"focal\"\n", + "2019-01-31 00:22:54,313 : INFO : topic #46 (0.020): 0.024*\"damag\" + 0.017*\"stop\" + 0.016*\"norwai\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.012*\"replac\" + 0.012*\"turkish\" + 0.011*\"treeless\"\n", + "2019-01-31 00:22:54,315 : INFO : topic #8 (0.020): 0.030*\"law\" + 0.024*\"cortic\" + 0.022*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"justic\" + 0.007*\"judaism\"\n", + "2019-01-31 00:22:54,316 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.013*\"juan\" + 0.012*\"francisco\" + 0.011*\"carlo\" + 0.011*\"josé\" + 0.010*\"santa\"\n", + "2019-01-31 00:22:54,322 : INFO : topic diff=0.017257, rho=0.068041\n", + "2019-01-31 00:22:54,477 : INFO : PROGRESS: pass 0, at document #434000/4922894\n", + "2019-01-31 00:22:55,889 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:56,155 : INFO : topic #35 (0.020): 0.047*\"russia\" + 0.031*\"sovereignti\" + 0.030*\"rural\" + 0.027*\"poison\" + 0.025*\"reprint\" + 0.023*\"personifi\" + 0.022*\"shirin\" + 0.018*\"poland\" + 0.017*\"turin\" + 0.016*\"moscow\"\n", + "2019-01-31 00:22:56,157 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.023*\"player\" + 0.021*\"scientist\" + 0.020*\"place\" + 0.020*\"taxpay\" + 0.013*\"folei\" + 0.011*\"leagu\" + 0.010*\"ruler\" + 0.009*\"clot\" + 0.008*\"yard\"\n", + "2019-01-31 00:22:56,158 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"john\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:22:56,159 : INFO : topic #47 (0.020): 0.068*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.015*\"physician\" + 0.014*\"orchestr\" + 0.012*\"word\" + 0.012*\"olympo\"\n", + "2019-01-31 00:22:56,161 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.009*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.004*\"night\" + 0.004*\"litig\" + 0.004*\"bewild\" + 0.004*\"ladi\" + 0.003*\"amphora\" + 0.003*\"introductori\"\n", + "2019-01-31 00:22:56,166 : INFO : topic diff=0.013546, rho=0.067884\n", + "2019-01-31 00:22:56,319 : INFO : PROGRESS: pass 0, at document #436000/4922894\n", + "2019-01-31 00:22:57,734 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:58,000 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 00:22:58,001 : INFO : topic #31 (0.020): 0.060*\"fusiform\" + 0.023*\"player\" + 0.022*\"scientist\" + 0.020*\"taxpay\" + 0.020*\"place\" + 0.013*\"folei\" + 0.011*\"leagu\" + 0.010*\"ruler\" + 0.009*\"clot\" + 0.008*\"yard\"\n", + "2019-01-31 00:22:58,003 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.057*\"parti\" + 0.024*\"democrat\" + 0.024*\"voluntari\" + 0.022*\"member\" + 0.019*\"polici\" + 0.015*\"liber\" + 0.015*\"republ\" + 0.015*\"bypass\" + 0.014*\"report\"\n", + "2019-01-31 00:22:58,004 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.024*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.012*\"francisco\" + 0.011*\"josé\" + 0.010*\"carlo\" + 0.010*\"santa\"\n", + "2019-01-31 00:22:58,005 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"bone\" + 0.012*\"john\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:22:58,011 : INFO : topic diff=0.013789, rho=0.067729\n", + "2019-01-31 00:22:58,165 : INFO : PROGRESS: pass 0, at document #438000/4922894\n", + "2019-01-31 00:22:59,604 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:22:59,870 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.014*\"vol\" + 0.013*\"jewish\" + 0.012*\"israel\" + 0.011*\"berlin\" + 0.011*\"der\" + 0.009*\"itali\" + 0.008*\"european\" + 0.008*\"europ\"\n", + "2019-01-31 00:22:59,872 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.016*\"western\" + 0.015*\"colder\" + 0.012*\"record\" + 0.009*\"blind\" + 0.009*\"illicit\" + 0.008*\"hand\" + 0.008*\"light\" + 0.007*\"green\" + 0.006*\"depress\"\n", + "2019-01-31 00:22:59,873 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.040*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"blur\" + 0.011*\"pope\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:22:59,874 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"taxpay\" + 0.016*\"candid\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"théori\" + 0.010*\"fool\" + 0.009*\"ret\"\n", + "2019-01-31 00:22:59,875 : INFO : topic #13 (0.020): 0.029*\"new\" + 0.028*\"australia\" + 0.026*\"sourc\" + 0.024*\"london\" + 0.024*\"australian\" + 0.023*\"england\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.017*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:22:59,881 : INFO : topic diff=0.013922, rho=0.067574\n", + "2019-01-31 00:23:02,599 : INFO : -11.704 per-word bound, 3336.5 perplexity estimate based on a held-out corpus of 2000 documents with 559222 words\n", + "2019-01-31 00:23:02,600 : INFO : PROGRESS: pass 0, at document #440000/4922894\n", + "2019-01-31 00:23:04,487 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:04,753 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.033*\"publicis\" + 0.021*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.013*\"storag\" + 0.012*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 00:23:04,755 : INFO : topic #34 (0.020): 0.076*\"start\" + 0.033*\"unionist\" + 0.030*\"cotton\" + 0.023*\"american\" + 0.022*\"new\" + 0.014*\"terri\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"violent\"\n", + "2019-01-31 00:23:04,756 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.013*\"francisco\" + 0.012*\"juan\" + 0.010*\"josé\" + 0.010*\"carlo\" + 0.010*\"santa\"\n", + "2019-01-31 00:23:04,757 : INFO : topic #2 (0.020): 0.045*\"isl\" + 0.040*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"blur\" + 0.011*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:23:04,758 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.017*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"winner\"\n", + "2019-01-31 00:23:04,764 : INFO : topic diff=0.013040, rho=0.067420\n", + "2019-01-31 00:23:04,921 : INFO : PROGRESS: pass 0, at document #442000/4922894\n", + "2019-01-31 00:23:06,870 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:07,136 : INFO : topic #17 (0.020): 0.064*\"church\" + 0.020*\"christian\" + 0.019*\"cathol\" + 0.018*\"bishop\" + 0.015*\"sail\" + 0.013*\"centuri\" + 0.013*\"retroflex\" + 0.012*\"jpg\" + 0.011*\"fifteenth\" + 0.010*\"relationship\"\n", + "2019-01-31 00:23:07,137 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"bone\" + 0.012*\"john\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"deal\"\n", + "2019-01-31 00:23:07,139 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.017*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"winner\"\n", + "2019-01-31 00:23:07,140 : INFO : topic #40 (0.020): 0.095*\"unit\" + 0.028*\"collector\" + 0.021*\"schuster\" + 0.019*\"institut\" + 0.016*\"student\" + 0.016*\"requir\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:23:07,141 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:23:07,147 : INFO : topic diff=0.014265, rho=0.067267\n", + "2019-01-31 00:23:07,306 : INFO : PROGRESS: pass 0, at document #444000/4922894\n", + "2019-01-31 00:23:08,738 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:09,004 : INFO : topic #39 (0.020): 0.034*\"canada\" + 0.031*\"canadian\" + 0.025*\"taxpay\" + 0.019*\"scientist\" + 0.016*\"basketbal\" + 0.015*\"toronto\" + 0.015*\"clot\" + 0.014*\"hoar\" + 0.013*\"ontario\" + 0.011*\"confer\"\n", + "2019-01-31 00:23:09,005 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"arsen\" + 0.036*\"line\" + 0.033*\"raid\" + 0.031*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.017*\"pain\" + 0.014*\"word\" + 0.014*\"exhaust\"\n", + "2019-01-31 00:23:09,006 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"deal\" + 0.004*\"end\" + 0.004*\"help\"\n", + "2019-01-31 00:23:09,008 : INFO : topic #15 (0.020): 0.013*\"develop\" + 0.013*\"small\" + 0.010*\"commun\" + 0.010*\"organ\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.009*\"requir\" + 0.008*\"student\" + 0.008*\"group\" + 0.008*\"human\"\n", + "2019-01-31 00:23:09,009 : INFO : topic #20 (0.020): 0.133*\"scholar\" + 0.037*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.017*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.008*\"gothic\"\n", + "2019-01-31 00:23:09,015 : INFO : topic diff=0.014884, rho=0.067116\n", + "2019-01-31 00:23:09,228 : INFO : PROGRESS: pass 0, at document #446000/4922894\n", + "2019-01-31 00:23:10,670 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:10,936 : INFO : topic #41 (0.020): 0.048*\"citi\" + 0.039*\"new\" + 0.022*\"palmer\" + 0.021*\"year\" + 0.015*\"strategist\" + 0.015*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:23:10,937 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"vol\" + 0.011*\"berlin\" + 0.011*\"der\" + 0.009*\"itali\" + 0.008*\"jeremiah\" + 0.008*\"european\"\n", + "2019-01-31 00:23:10,938 : INFO : topic #15 (0.020): 0.013*\"develop\" + 0.013*\"small\" + 0.010*\"commun\" + 0.010*\"organ\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.009*\"requir\" + 0.008*\"student\" + 0.008*\"group\" + 0.008*\"human\"\n", + "2019-01-31 00:23:10,939 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.016*\"buford\" + 0.012*\"rosenwald\" + 0.011*\"histor\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"briarwood\" + 0.010*\"linear\"\n", + "2019-01-31 00:23:10,941 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.022*\"adulthood\" + 0.016*\"hostil\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.012*\"live\" + 0.011*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:23:10,947 : INFO : topic diff=0.013917, rho=0.066965\n", + "2019-01-31 00:23:11,105 : INFO : PROGRESS: pass 0, at document #448000/4922894\n", + "2019-01-31 00:23:12,570 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:12,836 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"servitud\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"utopian\" + 0.005*\"differ\"\n", + "2019-01-31 00:23:12,837 : INFO : topic #47 (0.020): 0.068*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:23:12,838 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"mexican–american\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:23:12,839 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.039*\"new\" + 0.023*\"palmer\" + 0.021*\"year\" + 0.015*\"strategist\" + 0.015*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:23:12,840 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.080*\"octob\" + 0.078*\"march\" + 0.077*\"august\" + 0.072*\"notion\" + 0.072*\"april\" + 0.071*\"juli\" + 0.070*\"januari\" + 0.066*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 00:23:12,847 : INFO : topic diff=0.014961, rho=0.066815\n", + "2019-01-31 00:23:13,000 : INFO : PROGRESS: pass 0, at document #450000/4922894\n", + "2019-01-31 00:23:14,414 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:14,680 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"taxpay\" + 0.016*\"candid\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.010*\"fool\" + 0.010*\"landslid\" + 0.010*\"théori\"\n", + "2019-01-31 00:23:14,681 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.033*\"publicis\" + 0.021*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.014*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:23:14,682 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"arsen\" + 0.037*\"line\" + 0.036*\"raid\" + 0.031*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.017*\"pain\" + 0.015*\"word\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:23:14,683 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"servitud\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.005*\"utopian\" + 0.005*\"order\"\n", + "2019-01-31 00:23:14,684 : INFO : topic #8 (0.020): 0.031*\"law\" + 0.024*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"rudolf\" + 0.007*\"justic\"\n", + "2019-01-31 00:23:14,690 : INFO : topic diff=0.013215, rho=0.066667\n", + "2019-01-31 00:23:14,845 : INFO : PROGRESS: pass 0, at document #452000/4922894\n", + "2019-01-31 00:23:16,283 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:16,549 : INFO : topic #47 (0.020): 0.068*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:23:16,551 : INFO : topic #36 (0.020): 0.026*\"companhia\" + 0.010*\"network\" + 0.009*\"prognosi\" + 0.009*\"serv\" + 0.008*\"develop\" + 0.008*\"oper\" + 0.008*\"manag\" + 0.008*\"includ\" + 0.007*\"base\" + 0.007*\"busi\"\n", + "2019-01-31 00:23:16,552 : INFO : topic #7 (0.020): 0.019*\"di\" + 0.019*\"snatch\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"john\" + 0.012*\"faster\" + 0.012*\"deal\"\n", + "2019-01-31 00:23:16,553 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.013*\"vol\" + 0.012*\"berlin\" + 0.011*\"der\" + 0.008*\"itali\" + 0.008*\"european\" + 0.008*\"europ\"\n", + "2019-01-31 00:23:16,554 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.042*\"arsen\" + 0.036*\"line\" + 0.036*\"raid\" + 0.031*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.017*\"pain\" + 0.015*\"word\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:23:16,560 : INFO : topic diff=0.014925, rho=0.066519\n", + "2019-01-31 00:23:16,712 : INFO : PROGRESS: pass 0, at document #454000/4922894\n", + "2019-01-31 00:23:18,114 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:18,380 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.033*\"publicis\" + 0.021*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.014*\"presid\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.012*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 00:23:18,381 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.011*\"elabor\" + 0.010*\"produc\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.008*\"candid\" + 0.008*\"encyclopedia\" + 0.007*\"offset\"\n", + "2019-01-31 00:23:18,383 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.021*\"adulthood\" + 0.015*\"feel\" + 0.015*\"hostil\" + 0.013*\"male\" + 0.012*\"plaisir\" + 0.012*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:23:18,384 : INFO : topic #40 (0.020): 0.097*\"unit\" + 0.028*\"collector\" + 0.020*\"institut\" + 0.020*\"schuster\" + 0.015*\"student\" + 0.015*\"requir\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.012*\"degre\"\n", + "2019-01-31 00:23:18,385 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.009*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.004*\"bewild\" + 0.004*\"night\" + 0.004*\"ladi\" + 0.004*\"amphora\" + 0.003*\"introductori\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:23:18,391 : INFO : topic diff=0.011715, rho=0.066372\n", + "2019-01-31 00:23:18,544 : INFO : PROGRESS: pass 0, at document #456000/4922894\n", + "2019-01-31 00:23:19,949 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:20,216 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.025*\"player\" + 0.022*\"scientist\" + 0.021*\"taxpay\" + 0.021*\"place\" + 0.013*\"folei\" + 0.012*\"leagu\" + 0.009*\"ruler\" + 0.009*\"clot\" + 0.008*\"reconstruct\"\n", + "2019-01-31 00:23:20,217 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.016*\"western\" + 0.014*\"colder\" + 0.012*\"record\" + 0.009*\"blind\" + 0.009*\"illicit\" + 0.008*\"hand\" + 0.008*\"green\" + 0.007*\"light\" + 0.006*\"arm\"\n", + "2019-01-31 00:23:20,218 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.067*\"best\" + 0.037*\"yawn\" + 0.034*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.018*\"intern\" + 0.014*\"tokyo\"\n", + "2019-01-31 00:23:20,219 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.017*\"depress\" + 0.015*\"pour\" + 0.011*\"elabor\" + 0.010*\"produc\" + 0.009*\"mode\" + 0.009*\"veget\" + 0.008*\"candid\" + 0.008*\"encyclopedia\" + 0.007*\"offset\"\n", + "2019-01-31 00:23:20,220 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.059*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.022*\"member\" + 0.020*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"report\" + 0.014*\"liber\"\n", + "2019-01-31 00:23:20,226 : INFO : topic diff=0.013479, rho=0.066227\n", + "2019-01-31 00:23:20,382 : INFO : PROGRESS: pass 0, at document #458000/4922894\n", + "2019-01-31 00:23:21,829 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:22,095 : INFO : topic #15 (0.020): 0.013*\"small\" + 0.013*\"develop\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.009*\"requir\" + 0.008*\"student\" + 0.008*\"human\" + 0.008*\"group\"\n", + "2019-01-31 00:23:22,096 : INFO : topic #46 (0.020): 0.021*\"damag\" + 0.017*\"norwai\" + 0.016*\"stop\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.014*\"replac\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.012*\"earthquak\" + 0.011*\"treeless\"\n", + "2019-01-31 00:23:22,097 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.009*\"frontal\" + 0.007*\"exampl\" + 0.006*\"servitud\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 00:23:22,099 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.009*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.004*\"bewild\" + 0.004*\"night\" + 0.004*\"ladi\" + 0.004*\"amphora\" + 0.003*\"dai\"\n", + "2019-01-31 00:23:22,100 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"have\" + 0.006*\"proper\" + 0.006*\"activ\" + 0.006*\"effect\"\n", + "2019-01-31 00:23:22,106 : INFO : topic diff=0.016294, rho=0.066082\n", + "2019-01-31 00:23:24,843 : INFO : -11.496 per-word bound, 2887.3 perplexity estimate based on a held-out corpus of 2000 documents with 545887 words\n", + "2019-01-31 00:23:24,843 : INFO : PROGRESS: pass 0, at document #460000/4922894\n", + "2019-01-31 00:23:26,273 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:26,539 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:23:26,540 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.043*\"arsen\" + 0.038*\"line\" + 0.035*\"raid\" + 0.031*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.016*\"pain\" + 0.016*\"word\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:23:26,542 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.046*\"american\" + 0.028*\"valour\" + 0.020*\"dutch\" + 0.018*\"player\" + 0.015*\"folei\" + 0.015*\"polit\" + 0.014*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:23:26,543 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"movi\" + 0.011*\"acrimoni\" + 0.011*\"direct\"\n", + "2019-01-31 00:23:26,544 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.009*\"candid\" + 0.009*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:23:26,550 : INFO : topic diff=0.012832, rho=0.065938\n", + "2019-01-31 00:23:26,705 : INFO : PROGRESS: pass 0, at document #462000/4922894\n", + "2019-01-31 00:23:28,111 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:28,378 : INFO : topic #31 (0.020): 0.063*\"fusiform\" + 0.024*\"player\" + 0.022*\"scientist\" + 0.021*\"place\" + 0.020*\"taxpay\" + 0.013*\"folei\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.009*\"reconstruct\" + 0.009*\"clot\"\n", + "2019-01-31 00:23:28,378 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.020*\"rivièr\" + 0.016*\"buford\" + 0.012*\"rosenwald\" + 0.011*\"histor\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:23:28,380 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"hormon\" + 0.007*\"media\" + 0.007*\"disco\" + 0.007*\"caus\" + 0.007*\"have\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"activ\"\n", + "2019-01-31 00:23:28,381 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"toyota\" + 0.014*\"charcoal\" + 0.011*\"vocabulari\"\n", + "2019-01-31 00:23:28,382 : INFO : topic #16 (0.020): 0.028*\"king\" + 0.028*\"priest\" + 0.021*\"quarterli\" + 0.019*\"grammat\" + 0.018*\"duke\" + 0.017*\"maria\" + 0.016*\"idiosyncrat\" + 0.016*\"order\" + 0.015*\"rotterdam\" + 0.014*\"portugues\"\n", + "2019-01-31 00:23:28,388 : INFO : topic diff=0.013818, rho=0.065795\n", + "2019-01-31 00:23:28,542 : INFO : PROGRESS: pass 0, at document #464000/4922894\n", + "2019-01-31 00:23:30,019 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:30,285 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"activ\"\n", + "2019-01-31 00:23:30,286 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.009*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.004*\"night\" + 0.004*\"amphora\" + 0.004*\"ladi\" + 0.004*\"healthcar\"\n", + "2019-01-31 00:23:30,288 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.033*\"publicis\" + 0.021*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.013*\"nicola\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:23:30,289 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.034*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.022*\"reprint\" + 0.021*\"personifi\" + 0.019*\"moscow\" + 0.016*\"poland\" + 0.016*\"shirin\" + 0.015*\"tyrant\"\n", + "2019-01-31 00:23:30,290 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.004*\"help\" + 0.004*\"deal\" + 0.004*\"end\"\n", + "2019-01-31 00:23:30,296 : INFO : topic diff=0.012890, rho=0.065653\n", + "2019-01-31 00:23:30,454 : INFO : PROGRESS: pass 0, at document #466000/4922894\n", + "2019-01-31 00:23:31,876 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:32,142 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.032*\"unionist\" + 0.030*\"cotton\" + 0.024*\"american\" + 0.023*\"new\" + 0.014*\"terri\" + 0.013*\"california\" + 0.013*\"north\" + 0.012*\"warrior\" + 0.012*\"violent\"\n", + "2019-01-31 00:23:32,143 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:23:32,145 : INFO : topic #12 (0.020): 0.011*\"number\" + 0.008*\"frontal\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 00:23:32,146 : INFO : topic #16 (0.020): 0.030*\"king\" + 0.028*\"priest\" + 0.021*\"quarterli\" + 0.018*\"grammat\" + 0.018*\"duke\" + 0.017*\"idiosyncrat\" + 0.017*\"rotterdam\" + 0.016*\"maria\" + 0.015*\"order\" + 0.014*\"portugues\"\n", + "2019-01-31 00:23:32,146 : INFO : topic #13 (0.020): 0.028*\"new\" + 0.027*\"australia\" + 0.026*\"sourc\" + 0.024*\"england\" + 0.024*\"london\" + 0.021*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.013*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:23:32,152 : INFO : topic diff=0.013784, rho=0.065512\n", + "2019-01-31 00:23:32,310 : INFO : PROGRESS: pass 0, at document #468000/4922894\n", + "2019-01-31 00:23:33,768 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:34,033 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.029*\"germani\" + 0.014*\"vol\" + 0.013*\"israel\" + 0.012*\"jewish\" + 0.012*\"berlin\" + 0.011*\"der\" + 0.009*\"itali\" + 0.008*\"europ\" + 0.008*\"european\"\n", + "2019-01-31 00:23:34,035 : INFO : topic #32 (0.020): 0.060*\"district\" + 0.049*\"vigour\" + 0.043*\"tortur\" + 0.041*\"popolo\" + 0.032*\"cotton\" + 0.026*\"area\" + 0.025*\"regim\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"earthworm\"\n", + "2019-01-31 00:23:34,036 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.013*\"king\" + 0.013*\"battalion\" + 0.012*\"aza\" + 0.010*\"teufel\" + 0.009*\"empath\" + 0.008*\"centuri\" + 0.008*\"forc\" + 0.008*\"armi\" + 0.008*\"till\"\n", + "2019-01-31 00:23:34,037 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.024*\"aggress\" + 0.023*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"airmen\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.012*\"airbu\"\n", + "2019-01-31 00:23:34,038 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.023*\"player\" + 0.022*\"scientist\" + 0.020*\"place\" + 0.020*\"taxpay\" + 0.013*\"folei\" + 0.012*\"leagu\" + 0.009*\"ruler\" + 0.009*\"barber\" + 0.009*\"clot\"\n", + "2019-01-31 00:23:34,044 : INFO : topic diff=0.014505, rho=0.065372\n", + "2019-01-31 00:23:34,198 : INFO : PROGRESS: pass 0, at document #470000/4922894\n", + "2019-01-31 00:23:35,644 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:35,910 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"john\" + 0.011*\"deal\"\n", + "2019-01-31 00:23:35,911 : INFO : topic #23 (0.020): 0.140*\"audit\" + 0.066*\"best\" + 0.038*\"yawn\" + 0.033*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:23:35,912 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:23:35,913 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"man\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:23:35,915 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.009*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.004*\"night\" + 0.004*\"ladi\" + 0.004*\"amphora\" + 0.004*\"babi\"\n", + "2019-01-31 00:23:35,920 : INFO : topic diff=0.014500, rho=0.065233\n", + "2019-01-31 00:23:36,073 : INFO : PROGRESS: pass 0, at document #472000/4922894\n", + "2019-01-31 00:23:37,505 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:37,771 : INFO : topic #1 (0.020): 0.052*\"chilton\" + 0.051*\"china\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.016*\"leah\" + 0.015*\"korean\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.010*\"taiwan\"\n", + "2019-01-31 00:23:37,773 : INFO : topic #19 (0.020): 0.012*\"languag\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"woodcut\" + 0.008*\"mean\" + 0.008*\"charact\" + 0.008*\"uruguayan\" + 0.007*\"like\" + 0.007*\"god\" + 0.006*\"dynam\"\n", + "2019-01-31 00:23:37,774 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.032*\"unionist\" + 0.030*\"cotton\" + 0.024*\"american\" + 0.023*\"new\" + 0.014*\"terri\" + 0.013*\"california\" + 0.013*\"north\" + 0.012*\"warrior\" + 0.012*\"violent\"\n", + "2019-01-31 00:23:37,775 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.019*\"taxpay\" + 0.015*\"candid\" + 0.014*\"tornado\" + 0.012*\"find\" + 0.012*\"driver\" + 0.011*\"landslid\" + 0.010*\"horac\" + 0.010*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:23:37,776 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.016*\"place\" + 0.016*\"damn\" + 0.015*\"physician\" + 0.015*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:23:37,782 : INFO : topic diff=0.013358, rho=0.065094\n", + "2019-01-31 00:23:37,939 : INFO : PROGRESS: pass 0, at document #474000/4922894\n", + "2019-01-31 00:23:39,390 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:39,656 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.028*\"germani\" + 0.014*\"israel\" + 0.014*\"vol\" + 0.013*\"jewish\" + 0.013*\"berlin\" + 0.011*\"der\" + 0.008*\"itali\" + 0.008*\"europ\" + 0.008*\"european\"\n", + "2019-01-31 00:23:39,658 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"man\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.005*\"retrospect\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:23:39,659 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.017*\"depress\" + 0.016*\"pour\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.009*\"produc\" + 0.009*\"candid\" + 0.009*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:23:39,660 : INFO : topic #39 (0.020): 0.034*\"canada\" + 0.028*\"canadian\" + 0.024*\"taxpay\" + 0.020*\"scientist\" + 0.016*\"toronto\" + 0.015*\"basketbal\" + 0.014*\"hoar\" + 0.014*\"clot\" + 0.012*\"ontario\" + 0.011*\"confer\"\n", + "2019-01-31 00:23:39,661 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.012*\"rival\" + 0.010*\"georg\" + 0.008*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:23:39,667 : INFO : topic diff=0.012886, rho=0.064957\n", + "2019-01-31 00:23:39,824 : INFO : PROGRESS: pass 0, at document #476000/4922894\n", + "2019-01-31 00:23:41,262 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:41,528 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.011*\"francisco\" + 0.011*\"josé\" + 0.010*\"carlo\" + 0.010*\"antiqu\"\n", + "2019-01-31 00:23:41,529 : INFO : topic #1 (0.020): 0.051*\"chilton\" + 0.049*\"china\" + 0.026*\"hong\" + 0.026*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"kim\" + 0.015*\"sourc\" + 0.010*\"taiwan\"\n", + "2019-01-31 00:23:41,530 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.029*\"workplac\" + 0.029*\"olymp\" + 0.027*\"champion\" + 0.024*\"men\" + 0.023*\"medal\" + 0.021*\"event\" + 0.019*\"alic\" + 0.018*\"théori\" + 0.018*\"atheist\"\n", + "2019-01-31 00:23:41,532 : INFO : topic #45 (0.020): 0.018*\"black\" + 0.016*\"western\" + 0.013*\"colder\" + 0.012*\"record\" + 0.009*\"illicit\" + 0.009*\"blind\" + 0.008*\"green\" + 0.007*\"light\" + 0.007*\"hand\" + 0.006*\"arm\"\n", + "2019-01-31 00:23:41,533 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.016*\"physician\" + 0.016*\"place\" + 0.016*\"orchestr\" + 0.015*\"damn\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:23:41,539 : INFO : topic diff=0.012847, rho=0.064820\n", + "2019-01-31 00:23:41,750 : INFO : PROGRESS: pass 0, at document #478000/4922894\n", + "2019-01-31 00:23:43,193 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:43,458 : INFO : topic #8 (0.020): 0.032*\"law\" + 0.025*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.015*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"legal\" + 0.007*\"consolid\" + 0.007*\"judaism\"\n", + "2019-01-31 00:23:43,459 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.044*\"arsen\" + 0.038*\"line\" + 0.035*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.018*\"word\" + 0.017*\"pain\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:23:43,461 : INFO : topic #17 (0.020): 0.064*\"church\" + 0.021*\"cathol\" + 0.019*\"christian\" + 0.017*\"bishop\" + 0.014*\"retroflex\" + 0.014*\"sail\" + 0.012*\"centuri\" + 0.010*\"jpg\" + 0.009*\"fifteenth\" + 0.009*\"italian\"\n", + "2019-01-31 00:23:43,462 : INFO : topic #19 (0.020): 0.012*\"languag\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"woodcut\" + 0.008*\"mean\" + 0.008*\"charact\" + 0.008*\"uruguayan\" + 0.007*\"like\" + 0.007*\"god\" + 0.007*\"dynam\"\n", + "2019-01-31 00:23:43,463 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.022*\"poison\" + 0.022*\"personifi\" + 0.022*\"reprint\" + 0.019*\"moscow\" + 0.015*\"shirin\" + 0.015*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:23:43,469 : INFO : topic diff=0.012082, rho=0.064685\n", + "2019-01-31 00:23:46,297 : INFO : -11.721 per-word bound, 3376.6 perplexity estimate based on a held-out corpus of 2000 documents with 580708 words\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:23:46,298 : INFO : PROGRESS: pass 0, at document #480000/4922894\n", + "2019-01-31 00:23:47,758 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:48,024 : INFO : topic #17 (0.020): 0.065*\"church\" + 0.021*\"cathol\" + 0.019*\"christian\" + 0.017*\"bishop\" + 0.014*\"retroflex\" + 0.014*\"sail\" + 0.012*\"centuri\" + 0.010*\"jpg\" + 0.009*\"fifteenth\" + 0.009*\"italian\"\n", + "2019-01-31 00:23:48,025 : INFO : topic #12 (0.020): 0.011*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.005*\"differ\" + 0.005*\"utopian\"\n", + "2019-01-31 00:23:48,027 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"man\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.005*\"retrospect\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:23:48,028 : INFO : topic #3 (0.020): 0.041*\"present\" + 0.028*\"offic\" + 0.028*\"minist\" + 0.021*\"member\" + 0.020*\"seri\" + 0.020*\"gener\" + 0.016*\"govern\" + 0.016*\"appeas\" + 0.016*\"serv\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:23:48,029 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"john\" + 0.012*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:23:48,035 : INFO : topic diff=0.012352, rho=0.064550\n", + "2019-01-31 00:23:48,194 : INFO : PROGRESS: pass 0, at document #482000/4922894\n", + "2019-01-31 00:23:49,626 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:49,891 : INFO : topic #3 (0.020): 0.041*\"present\" + 0.028*\"offic\" + 0.028*\"minist\" + 0.021*\"member\" + 0.020*\"seri\" + 0.019*\"gener\" + 0.016*\"govern\" + 0.016*\"appeas\" + 0.016*\"serv\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:23:49,893 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.028*\"workplac\" + 0.027*\"olymp\" + 0.027*\"champion\" + 0.025*\"alic\" + 0.023*\"men\" + 0.023*\"medal\" + 0.021*\"event\" + 0.018*\"atheist\" + 0.018*\"théori\"\n", + "2019-01-31 00:23:49,894 : INFO : topic #41 (0.020): 0.048*\"citi\" + 0.038*\"new\" + 0.023*\"palmer\" + 0.020*\"year\" + 0.014*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.011*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:23:49,895 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.019*\"martin\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.016*\"chamber\" + 0.015*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:23:49,896 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.043*\"arsen\" + 0.039*\"line\" + 0.035*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.017*\"word\" + 0.016*\"pain\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:23:49,902 : INFO : topic diff=0.012371, rho=0.064416\n", + "2019-01-31 00:23:50,059 : INFO : PROGRESS: pass 0, at document #484000/4922894\n", + "2019-01-31 00:23:51,502 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:51,768 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.016*\"buford\" + 0.012*\"constitut\" + 0.011*\"histor\" + 0.011*\"rosenwald\" + 0.010*\"strategist\" + 0.010*\"briarwood\" + 0.010*\"linear\"\n", + "2019-01-31 00:23:51,770 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"man\" + 0.005*\"deal\" + 0.005*\"retrospect\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:23:51,771 : INFO : topic #41 (0.020): 0.048*\"citi\" + 0.037*\"new\" + 0.023*\"palmer\" + 0.019*\"year\" + 0.014*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.011*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:23:51,772 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:23:51,774 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.030*\"incumb\" + 0.015*\"islam\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.011*\"muskoge\" + 0.010*\"sri\" + 0.009*\"khalsa\" + 0.009*\"tajikistan\" + 0.009*\"start\"\n", + "2019-01-31 00:23:51,779 : INFO : topic diff=0.011678, rho=0.064282\n", + "2019-01-31 00:23:51,937 : INFO : PROGRESS: pass 0, at document #486000/4922894\n", + "2019-01-31 00:23:53,371 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:53,636 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"taxpay\" + 0.015*\"tornado\" + 0.015*\"candid\" + 0.013*\"find\" + 0.012*\"driver\" + 0.012*\"landslid\" + 0.012*\"squatter\" + 0.010*\"théori\" + 0.010*\"fool\"\n", + "2019-01-31 00:23:53,637 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.022*\"moscow\" + 0.021*\"reprint\" + 0.021*\"poison\" + 0.021*\"personifi\" + 0.016*\"unfortun\" + 0.014*\"shirin\" + 0.014*\"poland\"\n", + "2019-01-31 00:23:53,639 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.030*\"incumb\" + 0.015*\"islam\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.011*\"muskoge\" + 0.010*\"sri\" + 0.009*\"khalsa\" + 0.009*\"tajikistan\" + 0.009*\"start\"\n", + "2019-01-31 00:23:53,640 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"acid\"\n", + "2019-01-31 00:23:53,642 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:23:53,648 : INFO : topic diff=0.014063, rho=0.064150\n", + "2019-01-31 00:23:53,806 : INFO : PROGRESS: pass 0, at document #488000/4922894\n", + "2019-01-31 00:23:55,250 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:55,516 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.066*\"best\" + 0.039*\"yawn\" + 0.036*\"jacksonvil\" + 0.027*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.018*\"prison\" + 0.017*\"intern\"\n", + "2019-01-31 00:23:55,517 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.023*\"england\" + 0.023*\"london\" + 0.023*\"australian\" + 0.021*\"british\" + 0.021*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:23:55,518 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"arsen\" + 0.038*\"line\" + 0.035*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.017*\"word\" + 0.017*\"serv\" + 0.016*\"pain\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:23:55,519 : INFO : topic #45 (0.020): 0.018*\"black\" + 0.016*\"western\" + 0.013*\"colder\" + 0.013*\"record\" + 0.009*\"illicit\" + 0.009*\"blind\" + 0.009*\"green\" + 0.007*\"light\" + 0.007*\"hand\" + 0.006*\"arm\"\n", + "2019-01-31 00:23:55,521 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.033*\"publicis\" + 0.022*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:23:55,527 : INFO : topic diff=0.013476, rho=0.064018\n", + "2019-01-31 00:23:55,683 : INFO : PROGRESS: pass 0, at document #490000/4922894\n", + "2019-01-31 00:23:57,113 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:57,379 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"man\" + 0.005*\"retrospect\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:23:57,381 : INFO : topic #31 (0.020): 0.068*\"fusiform\" + 0.024*\"player\" + 0.021*\"scientist\" + 0.020*\"place\" + 0.019*\"taxpay\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.009*\"barber\" + 0.009*\"ruler\" + 0.009*\"yard\"\n", + "2019-01-31 00:23:57,382 : INFO : topic #15 (0.020): 0.012*\"develop\" + 0.012*\"small\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"cultur\" + 0.009*\"requir\" + 0.008*\"human\" + 0.008*\"student\" + 0.008*\"group\"\n", + "2019-01-31 00:23:57,383 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.026*\"germani\" + 0.013*\"vol\" + 0.013*\"der\" + 0.012*\"israel\" + 0.012*\"jewish\" + 0.012*\"berlin\" + 0.008*\"thong\" + 0.008*\"europ\" + 0.008*\"european\"\n", + "2019-01-31 00:23:57,384 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\" + 0.008*\"north\" + 0.007*\"vacant\"\n", + "2019-01-31 00:23:57,390 : INFO : topic diff=0.011865, rho=0.063888\n", + "2019-01-31 00:23:57,552 : INFO : PROGRESS: pass 0, at document #492000/4922894\n", + "2019-01-31 00:23:59,048 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:23:59,314 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"john\" + 0.012*\"faster\" + 0.011*\"deal\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:23:59,316 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\" + 0.008*\"north\" + 0.007*\"vacant\"\n", + "2019-01-31 00:23:59,317 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.012*\"king\" + 0.011*\"battalion\" + 0.010*\"aza\" + 0.009*\"centuri\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.008*\"armi\" + 0.007*\"till\"\n", + "2019-01-31 00:23:59,318 : INFO : topic #3 (0.020): 0.040*\"present\" + 0.029*\"offic\" + 0.027*\"minist\" + 0.021*\"member\" + 0.020*\"seri\" + 0.019*\"gener\" + 0.017*\"chickasaw\" + 0.017*\"govern\" + 0.016*\"appeas\" + 0.015*\"serv\"\n", + "2019-01-31 00:23:59,319 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:23:59,325 : INFO : topic diff=0.012339, rho=0.063758\n", + "2019-01-31 00:23:59,480 : INFO : PROGRESS: pass 0, at document #494000/4922894\n", + "2019-01-31 00:24:00,898 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:01,163 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"john\" + 0.012*\"faster\" + 0.011*\"deal\"\n", + "2019-01-31 00:24:01,165 : INFO : topic #33 (0.020): 0.054*\"french\" + 0.041*\"franc\" + 0.029*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"focal\"\n", + "2019-01-31 00:24:01,166 : INFO : topic #16 (0.020): 0.028*\"priest\" + 0.026*\"king\" + 0.023*\"quarterli\" + 0.021*\"duke\" + 0.018*\"grammat\" + 0.016*\"maria\" + 0.016*\"portugues\" + 0.015*\"count\" + 0.015*\"idiosyncrat\" + 0.014*\"rotterdam\"\n", + "2019-01-31 00:24:01,167 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.016*\"place\" + 0.015*\"physician\" + 0.015*\"olympo\" + 0.015*\"orchestr\" + 0.014*\"damn\" + 0.012*\"word\"\n", + "2019-01-31 00:24:01,168 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.026*\"germani\" + 0.013*\"vol\" + 0.012*\"der\" + 0.012*\"berlin\" + 0.012*\"israel\" + 0.012*\"jewish\" + 0.008*\"europ\" + 0.008*\"itali\" + 0.008*\"european\"\n", + "2019-01-31 00:24:01,174 : INFO : topic diff=0.012981, rho=0.063628\n", + "2019-01-31 00:24:01,324 : INFO : PROGRESS: pass 0, at document #496000/4922894\n", + "2019-01-31 00:24:02,730 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:02,996 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.031*\"unionist\" + 0.030*\"cotton\" + 0.025*\"american\" + 0.023*\"new\" + 0.014*\"california\" + 0.013*\"terri\" + 0.013*\"north\" + 0.012*\"warrior\" + 0.011*\"year\"\n", + "2019-01-31 00:24:02,997 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.016*\"mount\" + 0.010*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\" + 0.008*\"north\" + 0.008*\"palmer\"\n", + "2019-01-31 00:24:02,999 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.024*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.015*\"soviet\" + 0.014*\"francisco\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"mexican\"\n", + "2019-01-31 00:24:03,000 : INFO : topic #32 (0.020): 0.058*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.029*\"cotton\" + 0.027*\"area\" + 0.026*\"regim\" + 0.025*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:24:03,001 : INFO : topic #14 (0.020): 0.026*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.018*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"airmen\"\n", + "2019-01-31 00:24:03,007 : INFO : topic diff=0.013785, rho=0.063500\n", + "2019-01-31 00:24:03,167 : INFO : PROGRESS: pass 0, at document #498000/4922894\n", + "2019-01-31 00:24:04,725 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:04,991 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"rosenwald\" + 0.010*\"briarwood\" + 0.010*\"linear\"\n", + "2019-01-31 00:24:04,992 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.005*\"night\" + 0.004*\"litig\" + 0.004*\"bewild\" + 0.003*\"healthcar\" + 0.003*\"ladi\" + 0.003*\"york\"\n", + "2019-01-31 00:24:04,994 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.017*\"martin\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.013*\"withhold\"\n", + "2019-01-31 00:24:04,995 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.016*\"depress\" + 0.016*\"pour\" + 0.011*\"elabor\" + 0.009*\"mode\" + 0.009*\"produc\" + 0.009*\"encyclopedia\" + 0.009*\"candid\" + 0.008*\"veget\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:24:04,996 : INFO : topic #19 (0.020): 0.012*\"languag\" + 0.009*\"origin\" + 0.009*\"form\" + 0.009*\"woodcut\" + 0.008*\"mean\" + 0.007*\"charact\" + 0.007*\"uruguayan\" + 0.007*\"god\" + 0.007*\"like\" + 0.006*\"dynam\"\n", + "2019-01-31 00:24:05,003 : INFO : topic diff=0.013094, rho=0.063372\n", + "2019-01-31 00:24:07,722 : INFO : -11.598 per-word bound, 3100.7 perplexity estimate based on a held-out corpus of 2000 documents with 553729 words\n", + "2019-01-31 00:24:07,722 : INFO : PROGRESS: pass 0, at document #500000/4922894\n", + "2019-01-31 00:24:09,152 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:09,418 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:24:09,419 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"have\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"acid\"\n", + "2019-01-31 00:24:09,420 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.006*\"man\" + 0.006*\"blue\" + 0.005*\"night\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.004*\"dramatist\" + 0.003*\"ladi\" + 0.003*\"healthcar\"\n", + "2019-01-31 00:24:09,422 : INFO : topic #8 (0.020): 0.032*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"legal\" + 0.008*\"judaism\" + 0.007*\"rudolf\"\n", + "2019-01-31 00:24:09,423 : INFO : topic #3 (0.020): 0.039*\"present\" + 0.029*\"offic\" + 0.026*\"minist\" + 0.021*\"member\" + 0.021*\"seri\" + 0.019*\"gener\" + 0.017*\"chickasaw\" + 0.016*\"govern\" + 0.016*\"appeas\" + 0.015*\"serv\"\n", + "2019-01-31 00:24:09,428 : INFO : topic diff=0.012178, rho=0.063246\n", + "2019-01-31 00:24:09,586 : INFO : PROGRESS: pass 0, at document #502000/4922894\n", + "2019-01-31 00:24:11,044 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:11,310 : INFO : topic #29 (0.020): 0.011*\"govern\" + 0.010*\"start\" + 0.008*\"million\" + 0.008*\"yawn\" + 0.008*\"countri\" + 0.006*\"bank\" + 0.006*\"replac\" + 0.006*\"function\" + 0.006*\"nation\" + 0.006*\"théori\"\n", + "2019-01-31 00:24:11,312 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.006*\"kill\" + 0.006*\"sack\" + 0.005*\"dai\" + 0.005*\"man\" + 0.005*\"retrospect\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"end\"\n", + "2019-01-31 00:24:11,313 : INFO : topic #25 (0.020): 0.027*\"ring\" + 0.019*\"warmth\" + 0.016*\"area\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\" + 0.008*\"north\" + 0.008*\"palmer\"\n", + "2019-01-31 00:24:11,314 : INFO : topic #8 (0.020): 0.032*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"legal\" + 0.008*\"judaism\" + 0.007*\"rudolf\"\n", + "2019-01-31 00:24:11,315 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:24:11,321 : INFO : topic diff=0.011153, rho=0.063119\n", + "2019-01-31 00:24:11,482 : INFO : PROGRESS: pass 0, at document #504000/4922894\n", + "2019-01-31 00:24:12,961 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:13,228 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.014*\"jame\" + 0.013*\"david\" + 0.012*\"rival\" + 0.010*\"georg\" + 0.008*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:24:13,229 : INFO : topic #20 (0.020): 0.130*\"scholar\" + 0.036*\"struggl\" + 0.029*\"high\" + 0.029*\"educ\" + 0.020*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"pseudo\" + 0.009*\"task\" + 0.008*\"gothic\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:24:13,230 : INFO : topic #14 (0.020): 0.026*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"airmen\"\n", + "2019-01-31 00:24:13,231 : INFO : topic #31 (0.020): 0.067*\"fusiform\" + 0.024*\"player\" + 0.021*\"scientist\" + 0.021*\"place\" + 0.019*\"taxpay\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"ruler\" + 0.009*\"barber\" + 0.009*\"yard\"\n", + "2019-01-31 00:24:13,232 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.019*\"tourist\" + 0.018*\"martin\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.013*\"withhold\"\n", + "2019-01-31 00:24:13,238 : INFO : topic diff=0.013192, rho=0.062994\n", + "2019-01-31 00:24:13,394 : INFO : PROGRESS: pass 0, at document #506000/4922894\n", + "2019-01-31 00:24:14,842 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:15,108 : INFO : topic #20 (0.020): 0.131*\"scholar\" + 0.036*\"struggl\" + 0.029*\"high\" + 0.028*\"educ\" + 0.019*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"pseudo\" + 0.010*\"task\" + 0.008*\"gothic\"\n", + "2019-01-31 00:24:15,109 : INFO : topic #16 (0.020): 0.031*\"priest\" + 0.026*\"king\" + 0.022*\"quarterli\" + 0.020*\"duke\" + 0.018*\"grammat\" + 0.017*\"maria\" + 0.015*\"portugues\" + 0.015*\"rotterdam\" + 0.014*\"count\" + 0.014*\"idiosyncrat\"\n", + "2019-01-31 00:24:15,111 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.041*\"american\" + 0.026*\"valour\" + 0.019*\"dutch\" + 0.016*\"player\" + 0.016*\"polit\" + 0.015*\"folei\" + 0.013*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:24:15,112 : INFO : topic #36 (0.020): 0.023*\"companhia\" + 0.010*\"network\" + 0.009*\"prognosi\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.008*\"manag\" + 0.008*\"oper\" + 0.008*\"busi\" + 0.007*\"produc\" + 0.007*\"includ\"\n", + "2019-01-31 00:24:15,113 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.024*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"soviet\" + 0.014*\"francisco\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.010*\"lizard\" + 0.010*\"mexican\"\n", + "2019-01-31 00:24:15,119 : INFO : topic diff=0.011201, rho=0.062869\n", + "2019-01-31 00:24:15,272 : INFO : PROGRESS: pass 0, at document #508000/4922894\n", + "2019-01-31 00:24:16,686 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:16,952 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.057*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"bypass\" + 0.014*\"republ\" + 0.014*\"selma\" + 0.014*\"hous\"\n", + "2019-01-31 00:24:16,953 : INFO : topic #29 (0.020): 0.011*\"govern\" + 0.010*\"start\" + 0.008*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.006*\"bank\" + 0.006*\"replac\" + 0.006*\"function\" + 0.006*\"nation\" + 0.006*\"théori\"\n", + "2019-01-31 00:24:16,954 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.030*\"son\" + 0.028*\"rel\" + 0.027*\"reconstruct\" + 0.021*\"band\" + 0.017*\"simultan\" + 0.016*\"muscl\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:24:16,956 : INFO : topic #45 (0.020): 0.019*\"black\" + 0.016*\"western\" + 0.013*\"colder\" + 0.012*\"record\" + 0.010*\"illicit\" + 0.009*\"blind\" + 0.008*\"green\" + 0.008*\"light\" + 0.006*\"hand\" + 0.006*\"arm\"\n", + "2019-01-31 00:24:16,957 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:24:16,963 : INFO : topic diff=0.011546, rho=0.062746\n", + "2019-01-31 00:24:17,172 : INFO : PROGRESS: pass 0, at document #510000/4922894\n", + "2019-01-31 00:24:18,618 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:18,884 : INFO : topic #14 (0.020): 0.026*\"forc\" + 0.022*\"walter\" + 0.021*\"aggress\" + 0.018*\"com\" + 0.018*\"armi\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.011*\"airbu\" + 0.010*\"airmen\"\n", + "2019-01-31 00:24:18,886 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"soviet\" + 0.013*\"francisco\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.010*\"plung\"\n", + "2019-01-31 00:24:18,887 : INFO : topic #39 (0.020): 0.032*\"canada\" + 0.028*\"canadian\" + 0.022*\"taxpay\" + 0.019*\"scientist\" + 0.016*\"basketbal\" + 0.016*\"toronto\" + 0.014*\"hoar\" + 0.013*\"clot\" + 0.012*\"ontario\" + 0.011*\"confer\"\n", + "2019-01-31 00:24:18,888 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"warmth\" + 0.016*\"area\" + 0.015*\"lagrang\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"north\" + 0.008*\"lobe\" + 0.008*\"palmer\"\n", + "2019-01-31 00:24:18,889 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.026*\"democrat\" + 0.025*\"voluntari\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.015*\"liber\" + 0.014*\"bypass\" + 0.014*\"selma\"\n", + "2019-01-31 00:24:18,895 : INFO : topic diff=0.011627, rho=0.062622\n", + "2019-01-31 00:24:19,056 : INFO : PROGRESS: pass 0, at document #512000/4922894\n", + "2019-01-31 00:24:20,526 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:20,792 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.026*\"democrat\" + 0.025*\"voluntari\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.014*\"seaport\"\n", + "2019-01-31 00:24:20,794 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.026*\"septemb\" + 0.024*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:24:20,795 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.022*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:24:20,796 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.024*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.016*\"soviet\" + 0.013*\"francisco\" + 0.012*\"mexican\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\"\n", + "2019-01-31 00:24:20,797 : INFO : topic #45 (0.020): 0.018*\"black\" + 0.016*\"western\" + 0.013*\"colder\" + 0.012*\"record\" + 0.010*\"illicit\" + 0.009*\"blind\" + 0.008*\"green\" + 0.007*\"light\" + 0.006*\"hand\" + 0.006*\"depress\"\n", + "2019-01-31 00:24:20,803 : INFO : topic diff=0.013517, rho=0.062500\n", + "2019-01-31 00:24:20,958 : INFO : PROGRESS: pass 0, at document #514000/4922894\n", + "2019-01-31 00:24:22,385 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:22,651 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.029*\"collector\" + 0.021*\"institut\" + 0.020*\"schuster\" + 0.018*\"professor\" + 0.017*\"student\" + 0.016*\"requir\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:24:22,653 : INFO : topic #39 (0.020): 0.032*\"canada\" + 0.029*\"canadian\" + 0.022*\"taxpay\" + 0.019*\"scientist\" + 0.016*\"basketbal\" + 0.015*\"toronto\" + 0.015*\"hoar\" + 0.013*\"ontario\" + 0.012*\"clot\" + 0.010*\"confer\"\n", + "2019-01-31 00:24:22,654 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.012*\"televis\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"start\" + 0.009*\"singh\" + 0.009*\"sri\"\n", + "2019-01-31 00:24:22,655 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.007*\"man\" + 0.006*\"blue\" + 0.005*\"belinda\" + 0.005*\"night\" + 0.005*\"litig\" + 0.004*\"bewild\" + 0.003*\"dramatist\" + 0.003*\"ladi\"\n", + "2019-01-31 00:24:22,656 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.023*\"london\" + 0.022*\"british\" + 0.022*\"england\" + 0.022*\"australian\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.013*\"north\"\n", + "2019-01-31 00:24:22,662 : INFO : topic diff=0.011288, rho=0.062378\n", + "2019-01-31 00:24:22,817 : INFO : PROGRESS: pass 0, at document #516000/4922894\n", + "2019-01-31 00:24:24,251 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:24,517 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.028*\"workplac\" + 0.028*\"champion\" + 0.026*\"olymp\" + 0.026*\"men\" + 0.023*\"medal\" + 0.021*\"event\" + 0.021*\"rainfal\" + 0.020*\"alic\" + 0.020*\"atheist\"\n", + "2019-01-31 00:24:24,518 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"warmth\" + 0.016*\"area\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"sourc\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:24:24,519 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.024*\"spain\" + 0.020*\"mexico\" + 0.017*\"del\" + 0.015*\"soviet\" + 0.013*\"francisco\" + 0.012*\"mexican\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.010*\"lizard\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:24:24,521 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.015*\"leah\" + 0.014*\"sourc\" + 0.013*\"kim\" + 0.010*\"taiwan\"\n", + "2019-01-31 00:24:24,522 : INFO : topic #16 (0.020): 0.032*\"priest\" + 0.027*\"king\" + 0.021*\"quarterli\" + 0.020*\"duke\" + 0.018*\"grammat\" + 0.016*\"rotterdam\" + 0.016*\"maria\" + 0.015*\"idiosyncrat\" + 0.015*\"portugues\" + 0.014*\"count\"\n", + "2019-01-31 00:24:24,527 : INFO : topic diff=0.012022, rho=0.062257\n", + "2019-01-31 00:24:24,680 : INFO : PROGRESS: pass 0, at document #518000/4922894\n", + "2019-01-31 00:24:26,097 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:26,363 : INFO : topic #36 (0.020): 0.022*\"companhia\" + 0.010*\"network\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.009*\"prognosi\" + 0.008*\"manag\" + 0.008*\"oper\" + 0.008*\"produc\" + 0.008*\"base\" + 0.007*\"includ\"\n", + "2019-01-31 00:24:26,365 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.022*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:24:26,366 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.034*\"perceptu\" + 0.022*\"theater\" + 0.018*\"compos\" + 0.016*\"physician\" + 0.015*\"place\" + 0.015*\"orchestr\" + 0.014*\"damn\" + 0.014*\"olympo\" + 0.013*\"wahl\"\n", + "2019-01-31 00:24:26,367 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.026*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:24:26,368 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.028*\"workplac\" + 0.028*\"champion\" + 0.026*\"olymp\" + 0.025*\"men\" + 0.025*\"alic\" + 0.022*\"medal\" + 0.021*\"event\" + 0.020*\"rainfal\" + 0.020*\"atheist\"\n", + "2019-01-31 00:24:26,374 : INFO : topic diff=0.012125, rho=0.062137\n", + "2019-01-31 00:24:29,058 : INFO : -11.537 per-word bound, 2972.0 perplexity estimate based on a held-out corpus of 2000 documents with 548527 words\n", + "2019-01-31 00:24:29,058 : INFO : PROGRESS: pass 0, at document #520000/4922894\n", + "2019-01-31 00:24:30,461 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:30,727 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.025*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:24:30,728 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"develop\" + 0.011*\"organ\" + 0.009*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"requir\" + 0.008*\"human\" + 0.008*\"student\"\n", + "2019-01-31 00:24:30,729 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.020*\"taxpay\" + 0.017*\"candid\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.013*\"ret\" + 0.012*\"find\" + 0.010*\"horac\" + 0.010*\"landslid\" + 0.010*\"théori\"\n", + "2019-01-31 00:24:30,731 : INFO : topic #41 (0.020): 0.048*\"citi\" + 0.037*\"new\" + 0.023*\"palmer\" + 0.019*\"year\" + 0.016*\"strategist\" + 0.015*\"center\" + 0.011*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:24:30,732 : INFO : topic #45 (0.020): 0.018*\"black\" + 0.016*\"western\" + 0.013*\"colder\" + 0.011*\"record\" + 0.011*\"illicit\" + 0.009*\"blind\" + 0.008*\"green\" + 0.007*\"light\" + 0.006*\"depress\" + 0.006*\"hand\"\n", + "2019-01-31 00:24:30,738 : INFO : topic diff=0.009969, rho=0.062017\n", + "2019-01-31 00:24:30,891 : INFO : PROGRESS: pass 0, at document #522000/4922894\n", + "2019-01-31 00:24:32,308 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:32,574 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.018*\"com\" + 0.018*\"armi\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"airmen\"\n", + "2019-01-31 00:24:32,575 : INFO : topic #48 (0.020): 0.084*\"octob\" + 0.083*\"march\" + 0.079*\"sens\" + 0.075*\"juli\" + 0.074*\"januari\" + 0.073*\"august\" + 0.073*\"notion\" + 0.071*\"april\" + 0.071*\"decatur\" + 0.070*\"judici\"\n", + "2019-01-31 00:24:32,576 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.016*\"buford\" + 0.012*\"histor\" + 0.011*\"strategist\" + 0.011*\"rosenwald\" + 0.011*\"constitut\" + 0.010*\"briarwood\" + 0.010*\"highland\"\n", + "2019-01-31 00:24:32,577 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.011*\"coalit\" + 0.011*\"blur\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:24:32,578 : INFO : topic #35 (0.020): 0.050*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"poison\" + 0.029*\"rural\" + 0.021*\"poland\" + 0.019*\"reprint\" + 0.019*\"personifi\" + 0.018*\"moscow\" + 0.017*\"unfortun\" + 0.011*\"turin\"\n", + "2019-01-31 00:24:32,584 : INFO : topic diff=0.014437, rho=0.061898\n", + "2019-01-31 00:24:32,738 : INFO : PROGRESS: pass 0, at document #524000/4922894\n", + "2019-01-31 00:24:34,154 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:34,420 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.017*\"depress\" + 0.016*\"pour\" + 0.010*\"elabor\" + 0.009*\"produc\" + 0.009*\"mode\" + 0.008*\"encyclopedia\" + 0.008*\"veget\" + 0.008*\"candid\" + 0.007*\"develop\"\n", + "2019-01-31 00:24:34,421 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.026*\"new\" + 0.023*\"london\" + 0.023*\"british\" + 0.022*\"australian\" + 0.022*\"england\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:24:34,422 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.007*\"man\" + 0.006*\"blue\" + 0.005*\"night\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.004*\"belinda\" + 0.003*\"wither\" + 0.003*\"healthcar\"\n", + "2019-01-31 00:24:34,423 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"area\" + 0.016*\"lagrang\" + 0.014*\"mount\" + 0.008*\"foam\" + 0.008*\"sourc\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:24:34,424 : INFO : topic #39 (0.020): 0.032*\"canada\" + 0.028*\"canadian\" + 0.022*\"taxpay\" + 0.019*\"scientist\" + 0.016*\"hoar\" + 0.016*\"toronto\" + 0.016*\"basketbal\" + 0.012*\"ontario\" + 0.012*\"clot\" + 0.010*\"confer\"\n", + "2019-01-31 00:24:34,430 : INFO : topic diff=0.011209, rho=0.061780\n", + "2019-01-31 00:24:34,589 : INFO : PROGRESS: pass 0, at document #526000/4922894\n", + "2019-01-31 00:24:36,044 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:36,310 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.007*\"man\" + 0.006*\"blue\" + 0.005*\"night\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.004*\"belinda\" + 0.003*\"wither\" + 0.003*\"healthcar\"\n", + "2019-01-31 00:24:36,311 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.010*\"origin\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.007*\"dynam\" + 0.007*\"charact\" + 0.006*\"god\"\n", + "2019-01-31 00:24:36,312 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.013*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"john\" + 0.011*\"deal\"\n", + "2019-01-31 00:24:36,313 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.025*\"germani\" + 0.015*\"der\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.012*\"berlin\" + 0.011*\"israel\" + 0.010*\"jeremiah\" + 0.009*\"die\" + 0.008*\"und\"\n", + "2019-01-31 00:24:36,315 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.026*\"septemb\" + 0.024*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:24:36,320 : INFO : topic diff=0.012560, rho=0.061663\n", + "2019-01-31 00:24:36,479 : INFO : PROGRESS: pass 0, at document #528000/4922894\n", + "2019-01-31 00:24:37,929 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:38,196 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.021*\"taxpay\" + 0.016*\"candid\" + 0.014*\"tornado\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"ret\" + 0.011*\"horac\" + 0.011*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 00:24:38,197 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.017*\"martin\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"workplac\"\n", + "2019-01-31 00:24:38,198 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.032*\"unionist\" + 0.029*\"cotton\" + 0.027*\"american\" + 0.023*\"new\" + 0.014*\"california\" + 0.013*\"terri\" + 0.013*\"north\" + 0.012*\"warrior\" + 0.012*\"violent\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:24:38,199 : INFO : topic #33 (0.020): 0.055*\"french\" + 0.043*\"franc\" + 0.029*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.015*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:24:38,201 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.025*\"germani\" + 0.015*\"der\" + 0.015*\"vol\" + 0.013*\"jewish\" + 0.012*\"berlin\" + 0.011*\"israel\" + 0.011*\"jeremiah\" + 0.009*\"die\" + 0.009*\"und\"\n", + "2019-01-31 00:24:38,206 : INFO : topic diff=0.010578, rho=0.061546\n", + "2019-01-31 00:24:38,366 : INFO : PROGRESS: pass 0, at document #530000/4922894\n", + "2019-01-31 00:24:39,811 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:40,077 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.027*\"reconstruct\" + 0.021*\"band\" + 0.017*\"simultan\" + 0.017*\"muscl\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:24:40,078 : INFO : topic #47 (0.020): 0.060*\"muscl\" + 0.031*\"perceptu\" + 0.027*\"physician\" + 0.019*\"theater\" + 0.017*\"orchestr\" + 0.017*\"compos\" + 0.015*\"olympo\" + 0.014*\"son\" + 0.013*\"place\" + 0.013*\"damn\"\n", + "2019-01-31 00:24:40,079 : INFO : topic #41 (0.020): 0.049*\"citi\" + 0.038*\"new\" + 0.022*\"palmer\" + 0.019*\"year\" + 0.016*\"center\" + 0.015*\"strategist\" + 0.011*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:24:40,080 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.028*\"collector\" + 0.022*\"institut\" + 0.021*\"schuster\" + 0.017*\"student\" + 0.016*\"requir\" + 0.016*\"professor\" + 0.013*\"word\" + 0.012*\"governor\" + 0.012*\"degre\"\n", + "2019-01-31 00:24:40,081 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.007*\"acid\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"effect\" + 0.006*\"pathwai\"\n", + "2019-01-31 00:24:40,087 : INFO : topic diff=0.013411, rho=0.061430\n", + "2019-01-31 00:24:40,238 : INFO : PROGRESS: pass 0, at document #532000/4922894\n", + "2019-01-31 00:24:41,624 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:41,890 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"acid\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"pathwai\"\n", + "2019-01-31 00:24:41,891 : INFO : topic #26 (0.020): 0.031*\"woman\" + 0.028*\"champion\" + 0.028*\"workplac\" + 0.026*\"men\" + 0.026*\"olymp\" + 0.024*\"alic\" + 0.021*\"medal\" + 0.021*\"event\" + 0.021*\"rainfal\" + 0.020*\"atheist\"\n", + "2019-01-31 00:24:41,893 : INFO : topic #29 (0.020): 0.011*\"govern\" + 0.010*\"start\" + 0.008*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"bank\" + 0.006*\"replac\" + 0.006*\"function\" + 0.006*\"placement\" + 0.006*\"nation\"\n", + "2019-01-31 00:24:41,894 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.029*\"incumb\" + 0.013*\"televis\" + 0.013*\"islam\" + 0.012*\"muskoge\" + 0.011*\"pakistan\" + 0.010*\"start\" + 0.010*\"singh\" + 0.009*\"khalsa\" + 0.009*\"sri\"\n", + "2019-01-31 00:24:41,895 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:24:41,901 : INFO : topic diff=0.012359, rho=0.061314\n", + "2019-01-31 00:24:42,059 : INFO : PROGRESS: pass 0, at document #534000/4922894\n", + "2019-01-31 00:24:43,504 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:43,771 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.018*\"damag\" + 0.017*\"wind\" + 0.016*\"swedish\" + 0.015*\"norwai\" + 0.015*\"norwegian\" + 0.014*\"sweden\" + 0.011*\"replac\" + 0.011*\"treeless\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:24:43,772 : INFO : topic #15 (0.020): 0.012*\"develop\" + 0.012*\"small\" + 0.011*\"organ\" + 0.009*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.008*\"human\" + 0.008*\"requir\" + 0.008*\"group\" + 0.008*\"student\"\n", + "2019-01-31 00:24:43,773 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"arsen\" + 0.039*\"line\" + 0.033*\"raid\" + 0.031*\"museo\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.015*\"word\" + 0.015*\"pain\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:24:43,774 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.013*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 00:24:43,775 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.027*\"reconstruct\" + 0.021*\"band\" + 0.017*\"simultan\" + 0.017*\"muscl\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:24:43,781 : INFO : topic diff=0.011819, rho=0.061199\n", + "2019-01-31 00:24:43,935 : INFO : PROGRESS: pass 0, at document #536000/4922894\n", + "2019-01-31 00:24:45,356 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:45,623 : INFO : topic #17 (0.020): 0.068*\"church\" + 0.020*\"cathol\" + 0.020*\"christian\" + 0.017*\"bishop\" + 0.014*\"retroflex\" + 0.014*\"sail\" + 0.012*\"centuri\" + 0.010*\"italian\" + 0.009*\"historiographi\" + 0.008*\"relationship\"\n", + "2019-01-31 00:24:45,624 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.018*\"depress\" + 0.016*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.009*\"produc\" + 0.008*\"encyclopedia\" + 0.008*\"veget\" + 0.008*\"candid\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:24:45,625 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.011*\"king\" + 0.010*\"battalion\" + 0.009*\"aza\" + 0.009*\"centuri\" + 0.008*\"empath\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\"\n", + "2019-01-31 00:24:45,627 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.048*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.015*\"sourc\" + 0.014*\"leah\" + 0.013*\"han\" + 0.013*\"kim\"\n", + "2019-01-31 00:24:45,628 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:24:45,634 : INFO : topic diff=0.010792, rho=0.061085\n", + "2019-01-31 00:24:45,787 : INFO : PROGRESS: pass 0, at document #538000/4922894\n", + "2019-01-31 00:24:47,195 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:47,462 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.005*\"man\" + 0.005*\"deal\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:24:47,463 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"mexican\" + 0.011*\"lizard\"\n", + "2019-01-31 00:24:47,464 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.033*\"perceptu\" + 0.025*\"physician\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.017*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"place\" + 0.013*\"son\" + 0.012*\"damn\"\n", + "2019-01-31 00:24:47,465 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.067*\"best\" + 0.038*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.020*\"women\" + 0.018*\"festiv\" + 0.017*\"prison\" + 0.016*\"intern\"\n", + "2019-01-31 00:24:47,467 : INFO : topic #45 (0.020): 0.017*\"black\" + 0.015*\"western\" + 0.013*\"colder\" + 0.011*\"record\" + 0.010*\"illicit\" + 0.009*\"blind\" + 0.008*\"green\" + 0.008*\"light\" + 0.007*\"fifteenth\" + 0.006*\"jpg\"\n", + "2019-01-31 00:24:47,473 : INFO : topic diff=0.010960, rho=0.060971\n", + "2019-01-31 00:24:50,207 : INFO : -11.877 per-word bound, 3761.5 perplexity estimate based on a held-out corpus of 2000 documents with 546535 words\n", + "2019-01-31 00:24:50,207 : INFO : PROGRESS: pass 0, at document #540000/4922894\n", + "2019-01-31 00:24:51,645 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:51,911 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.027*\"collector\" + 0.021*\"schuster\" + 0.021*\"institut\" + 0.017*\"requir\" + 0.017*\"student\" + 0.016*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:24:51,913 : INFO : topic #27 (0.020): 0.066*\"questionnair\" + 0.021*\"taxpay\" + 0.018*\"candid\" + 0.014*\"tornado\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"find\" + 0.011*\"champion\" + 0.011*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 00:24:51,914 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"televis\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"singh\" + 0.010*\"start\" + 0.009*\"khalsa\" + 0.009*\"sri\"\n", + "2019-01-31 00:24:51,915 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"warmth\" + 0.016*\"mount\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"sourc\" + 0.008*\"palmer\" + 0.008*\"lobe\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:24:51,916 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.024*\"cortic\" + 0.023*\"act\" + 0.019*\"start\" + 0.016*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\" + 0.007*\"rudolf\"\n", + "2019-01-31 00:24:51,922 : INFO : topic diff=0.012260, rho=0.060858\n", + "2019-01-31 00:24:52,078 : INFO : PROGRESS: pass 0, at document #542000/4922894\n", + "2019-01-31 00:24:53,505 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:53,772 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.022*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:24:53,773 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.028*\"factor\" + 0.023*\"adulthood\" + 0.016*\"hostil\" + 0.016*\"feel\" + 0.014*\"male\" + 0.011*\"live\" + 0.011*\"genu\" + 0.011*\"plaisir\" + 0.010*\"yawn\"\n", + "2019-01-31 00:24:53,774 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:24:53,775 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.027*\"reconstruct\" + 0.021*\"band\" + 0.017*\"simultan\" + 0.017*\"muscl\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:24:53,777 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.018*\"depress\" + 0.017*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.009*\"produc\" + 0.008*\"veget\" + 0.008*\"candid\" + 0.008*\"encyclopedia\" + 0.007*\"develop\"\n", + "2019-01-31 00:24:53,782 : INFO : topic diff=0.011440, rho=0.060746\n", + "2019-01-31 00:24:53,997 : INFO : PROGRESS: pass 0, at document #544000/4922894\n", + "2019-01-31 00:24:55,421 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:55,688 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:24:55,689 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.025*\"final\" + 0.023*\"tourist\" + 0.021*\"wife\" + 0.018*\"champion\" + 0.017*\"martin\" + 0.017*\"taxpay\" + 0.016*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:24:55,690 : INFO : topic #31 (0.020): 0.064*\"fusiform\" + 0.025*\"player\" + 0.021*\"scientist\" + 0.021*\"place\" + 0.020*\"taxpay\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.011*\"yard\" + 0.010*\"barber\" + 0.009*\"ruler\"\n", + "2019-01-31 00:24:55,691 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.048*\"vigour\" + 0.045*\"popolo\" + 0.041*\"tortur\" + 0.028*\"cotton\" + 0.028*\"regim\" + 0.028*\"area\" + 0.025*\"multitud\" + 0.023*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:24:55,692 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.030*\"poison\" + 0.022*\"personifi\" + 0.020*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.018*\"unfortun\" + 0.012*\"czech\"\n", + "2019-01-31 00:24:55,698 : INFO : topic diff=0.011468, rho=0.060634\n", + "2019-01-31 00:24:55,854 : INFO : PROGRESS: pass 0, at document #546000/4922894\n", + "2019-01-31 00:24:57,299 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:57,565 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"exampl\" + 0.007*\"southern\" + 0.006*\"servitud\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.005*\"utopian\"\n", + "2019-01-31 00:24:57,566 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.049*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.023*\"korea\" + 0.018*\"korean\" + 0.015*\"sourc\" + 0.012*\"leah\" + 0.012*\"han\" + 0.012*\"kim\"\n", + "2019-01-31 00:24:57,568 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.008*\"sourc\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 00:24:57,569 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.017*\"depress\" + 0.017*\"pour\" + 0.009*\"elabor\" + 0.009*\"produc\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"develop\"\n", + "2019-01-31 00:24:57,570 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.031*\"perceptu\" + 0.027*\"physician\" + 0.018*\"theater\" + 0.018*\"wahl\" + 0.018*\"orchestr\" + 0.018*\"compos\" + 0.013*\"place\" + 0.013*\"olympo\" + 0.012*\"son\"\n", + "2019-01-31 00:24:57,576 : INFO : topic diff=0.012075, rho=0.060523\n", + "2019-01-31 00:24:57,738 : INFO : PROGRESS: pass 0, at document #548000/4922894\n", + "2019-01-31 00:24:59,203 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:24:59,469 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.031*\"perceptu\" + 0.026*\"physician\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.018*\"orchestr\" + 0.017*\"wahl\" + 0.013*\"place\" + 0.013*\"olympo\" + 0.012*\"damn\"\n", + "2019-01-31 00:24:59,470 : INFO : topic #45 (0.020): 0.017*\"black\" + 0.016*\"western\" + 0.013*\"colder\" + 0.011*\"record\" + 0.010*\"blind\" + 0.010*\"illicit\" + 0.008*\"light\" + 0.008*\"green\" + 0.007*\"fifteenth\" + 0.006*\"jpg\"\n", + "2019-01-31 00:24:59,471 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.027*\"voluntari\" + 0.026*\"democrat\" + 0.020*\"member\" + 0.018*\"polici\" + 0.016*\"republ\" + 0.015*\"liber\" + 0.015*\"bypass\" + 0.014*\"selma\"\n", + "2019-01-31 00:24:59,473 : INFO : topic #20 (0.020): 0.131*\"scholar\" + 0.035*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.019*\"yawn\" + 0.018*\"collector\" + 0.014*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"pseudo\" + 0.008*\"task\"\n", + "2019-01-31 00:24:59,474 : INFO : topic #31 (0.020): 0.063*\"fusiform\" + 0.025*\"player\" + 0.022*\"scientist\" + 0.021*\"place\" + 0.020*\"taxpay\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.011*\"yard\" + 0.010*\"barber\" + 0.009*\"clot\"\n", + "2019-01-31 00:24:59,480 : INFO : topic diff=0.015389, rho=0.060412\n", + "2019-01-31 00:24:59,637 : INFO : PROGRESS: pass 0, at document #550000/4922894\n", + "2019-01-31 00:25:01,065 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:01,330 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.024*\"adulthood\" + 0.017*\"feel\" + 0.016*\"hostil\" + 0.014*\"male\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:25:01,332 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.048*\"chilton\" + 0.023*\"hong\" + 0.023*\"korea\" + 0.022*\"kong\" + 0.018*\"korean\" + 0.015*\"sourc\" + 0.015*\"kim\" + 0.014*\"leah\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:25:01,333 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.011*\"king\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"empath\" + 0.009*\"teufel\" + 0.008*\"centuri\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"till\"\n", + "2019-01-31 00:25:01,334 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.025*\"player\" + 0.022*\"scientist\" + 0.021*\"place\" + 0.021*\"taxpay\" + 0.014*\"leagu\" + 0.012*\"folei\" + 0.011*\"yard\" + 0.010*\"barber\" + 0.009*\"clot\"\n", + "2019-01-31 00:25:01,336 : INFO : topic #17 (0.020): 0.068*\"church\" + 0.020*\"christian\" + 0.019*\"cathol\" + 0.017*\"bishop\" + 0.015*\"retroflex\" + 0.014*\"sail\" + 0.012*\"centuri\" + 0.010*\"italian\" + 0.009*\"relationship\" + 0.008*\"historiographi\"\n", + "2019-01-31 00:25:01,341 : INFO : topic diff=0.009282, rho=0.060302\n", + "2019-01-31 00:25:01,501 : INFO : PROGRESS: pass 0, at document #552000/4922894\n", + "2019-01-31 00:25:02,965 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:03,232 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.027*\"collector\" + 0.022*\"schuster\" + 0.021*\"institut\" + 0.018*\"requir\" + 0.017*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:25:03,233 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.080*\"octob\" + 0.077*\"sens\" + 0.075*\"januari\" + 0.072*\"juli\" + 0.072*\"notion\" + 0.070*\"april\" + 0.069*\"august\" + 0.069*\"judici\" + 0.068*\"decatur\"\n", + "2019-01-31 00:25:03,235 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"exampl\" + 0.006*\"southern\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.005*\"differ\"\n", + "2019-01-31 00:25:03,236 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.016*\"hostil\" + 0.014*\"male\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:25:03,237 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.048*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.022*\"korea\" + 0.017*\"korean\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.014*\"leah\" + 0.012*\"ashvil\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:25:03,243 : INFO : topic diff=0.014395, rho=0.060193\n", + "2019-01-31 00:25:03,401 : INFO : PROGRESS: pass 0, at document #554000/4922894\n", + "2019-01-31 00:25:04,845 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:05,111 : INFO : topic #39 (0.020): 0.035*\"canada\" + 0.028*\"canadian\" + 0.021*\"taxpay\" + 0.019*\"scientist\" + 0.017*\"hoar\" + 0.016*\"basketbal\" + 0.016*\"toronto\" + 0.015*\"ontario\" + 0.012*\"confer\" + 0.012*\"clot\"\n", + "2019-01-31 00:25:05,112 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.045*\"franc\" + 0.028*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.011*\"loui\" + 0.011*\"piec\" + 0.010*\"focal\"\n", + "2019-01-31 00:25:05,114 : INFO : topic #29 (0.020): 0.010*\"govern\" + 0.010*\"start\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"function\" + 0.007*\"bank\" + 0.006*\"replac\" + 0.006*\"théori\" + 0.006*\"nation\"\n", + "2019-01-31 00:25:05,115 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.017*\"depress\" + 0.016*\"pour\" + 0.009*\"elabor\" + 0.009*\"produc\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"encyclopedia\" + 0.007*\"candid\" + 0.007*\"develop\"\n", + "2019-01-31 00:25:05,116 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.018*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:25:05,122 : INFO : topic diff=0.011124, rho=0.060084\n", + "2019-01-31 00:25:05,278 : INFO : PROGRESS: pass 0, at document #556000/4922894\n", + "2019-01-31 00:25:06,697 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:06,964 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.028*\"collector\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.018*\"requir\" + 0.016*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:25:06,965 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.028*\"incumb\" + 0.014*\"islam\" + 0.014*\"televis\" + 0.011*\"pakistan\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.010*\"start\" + 0.010*\"anglo\" + 0.010*\"iran\"\n", + "2019-01-31 00:25:06,966 : INFO : topic #41 (0.020): 0.047*\"citi\" + 0.037*\"new\" + 0.025*\"palmer\" + 0.020*\"year\" + 0.015*\"center\" + 0.015*\"strategist\" + 0.011*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:25:06,967 : INFO : topic #23 (0.020): 0.141*\"audit\" + 0.067*\"best\" + 0.037*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.021*\"women\" + 0.020*\"festiv\" + 0.018*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:25:06,968 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.080*\"octob\" + 0.077*\"sens\" + 0.076*\"januari\" + 0.073*\"juli\" + 0.071*\"notion\" + 0.071*\"april\" + 0.069*\"judici\" + 0.069*\"august\" + 0.068*\"decatur\"\n", + "2019-01-31 00:25:06,974 : INFO : topic diff=0.010680, rho=0.059976\n", + "2019-01-31 00:25:07,132 : INFO : PROGRESS: pass 0, at document #558000/4922894\n", + "2019-01-31 00:25:08,569 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:08,835 : INFO : topic #35 (0.020): 0.051*\"russia\" + 0.035*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.022*\"personifi\" + 0.021*\"reprint\" + 0.018*\"moscow\" + 0.017*\"poland\" + 0.017*\"unfortun\" + 0.016*\"tyrant\"\n", + "2019-01-31 00:25:08,836 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.023*\"physician\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.017*\"orchestr\" + 0.014*\"wahl\" + 0.014*\"olympo\" + 0.014*\"place\" + 0.013*\"damn\"\n", + "2019-01-31 00:25:08,838 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.006*\"dynam\" + 0.006*\"centuri\" + 0.006*\"god\"\n", + "2019-01-31 00:25:08,838 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"new\" + 0.024*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.021*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:25:08,839 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.023*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"rosenwald\" + 0.009*\"depress\"\n", + "2019-01-31 00:25:08,845 : INFO : topic diff=0.011311, rho=0.059868\n", + "2019-01-31 00:25:11,662 : INFO : -11.495 per-word bound, 2885.7 perplexity estimate based on a held-out corpus of 2000 documents with 607011 words\n", + "2019-01-31 00:25:11,663 : INFO : PROGRESS: pass 0, at document #560000/4922894\n", + "2019-01-31 00:25:13,122 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:13,388 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.022*\"word\" + 0.016*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"author\" + 0.012*\"worldwid\"\n", + "2019-01-31 00:25:13,389 : INFO : topic #17 (0.020): 0.067*\"church\" + 0.023*\"cathol\" + 0.020*\"dioces\" + 0.019*\"christian\" + 0.016*\"bishop\" + 0.014*\"retroflex\" + 0.014*\"sail\" + 0.012*\"centuri\" + 0.009*\"italian\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:25:13,390 : INFO : topic #35 (0.020): 0.051*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.022*\"personifi\" + 0.021*\"reprint\" + 0.018*\"moscow\" + 0.017*\"unfortun\" + 0.017*\"poland\" + 0.016*\"tyrant\"\n", + "2019-01-31 00:25:13,392 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.005*\"retrospect\" + 0.005*\"dai\" + 0.005*\"deal\" + 0.004*\"man\" + 0.004*\"end\" + 0.004*\"help\"\n", + "2019-01-31 00:25:13,393 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.013*\"faster\" + 0.012*\"life\" + 0.012*\"john\" + 0.011*\"deal\"\n", + "2019-01-31 00:25:13,399 : INFO : topic diff=0.012397, rho=0.059761\n", + "2019-01-31 00:25:13,555 : INFO : PROGRESS: pass 0, at document #562000/4922894\n", + "2019-01-31 00:25:14,985 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:15,250 : INFO : topic #36 (0.020): 0.022*\"companhia\" + 0.010*\"network\" + 0.009*\"develop\" + 0.009*\"prognosi\" + 0.008*\"serv\" + 0.008*\"manag\" + 0.008*\"base\" + 0.008*\"oper\" + 0.008*\"includ\" + 0.007*\"produc\"\n", + "2019-01-31 00:25:15,252 : INFO : topic #40 (0.020): 0.094*\"unit\" + 0.028*\"collector\" + 0.023*\"institut\" + 0.023*\"schuster\" + 0.017*\"requir\" + 0.016*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:25:15,252 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.025*\"final\" + 0.022*\"tourist\" + 0.020*\"wife\" + 0.018*\"taxpay\" + 0.018*\"champion\" + 0.018*\"martin\" + 0.016*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"workplac\"\n", + "2019-01-31 00:25:15,254 : INFO : topic #45 (0.020): 0.016*\"western\" + 0.016*\"black\" + 0.014*\"colder\" + 0.011*\"record\" + 0.010*\"blind\" + 0.010*\"illicit\" + 0.007*\"light\" + 0.007*\"green\" + 0.007*\"fifteenth\" + 0.007*\"jpg\"\n", + "2019-01-31 00:25:15,254 : INFO : topic #41 (0.020): 0.047*\"citi\" + 0.037*\"new\" + 0.024*\"palmer\" + 0.020*\"year\" + 0.015*\"center\" + 0.015*\"strategist\" + 0.011*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:25:15,260 : INFO : topic diff=0.010572, rho=0.059655\n", + "2019-01-31 00:25:15,416 : INFO : PROGRESS: pass 0, at document #564000/4922894\n", + "2019-01-31 00:25:16,849 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:17,115 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"southern\" + 0.007*\"frontal\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 00:25:17,116 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.079*\"octob\" + 0.077*\"sens\" + 0.077*\"januari\" + 0.071*\"juli\" + 0.070*\"notion\" + 0.070*\"april\" + 0.069*\"judici\" + 0.069*\"august\" + 0.068*\"decatur\"\n", + "2019-01-31 00:25:17,117 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.025*\"final\" + 0.022*\"tourist\" + 0.020*\"wife\" + 0.018*\"taxpay\" + 0.018*\"champion\" + 0.017*\"martin\" + 0.016*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"workplac\"\n", + "2019-01-31 00:25:17,118 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.006*\"dynam\" + 0.006*\"centuri\" + 0.006*\"god\"\n", + "2019-01-31 00:25:17,120 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.026*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.013*\"berlin\" + 0.010*\"jeremiah\" + 0.008*\"greek\" + 0.008*\"und\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:25:17,125 : INFO : topic diff=0.011876, rho=0.059549\n", + "2019-01-31 00:25:17,281 : INFO : PROGRESS: pass 0, at document #566000/4922894\n", + "2019-01-31 00:25:18,697 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:18,963 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.011*\"aza\" + 0.010*\"king\" + 0.010*\"battalion\" + 0.009*\"empath\" + 0.009*\"teufel\" + 0.009*\"centuri\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"till\"\n", + "2019-01-31 00:25:18,964 : INFO : topic #29 (0.020): 0.011*\"start\" + 0.010*\"govern\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"bank\" + 0.007*\"function\" + 0.006*\"replac\" + 0.006*\"théori\" + 0.006*\"new\"\n", + "2019-01-31 00:25:18,965 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.046*\"franc\" + 0.028*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.011*\"loui\" + 0.010*\"piec\" + 0.010*\"focal\"\n", + "2019-01-31 00:25:18,967 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.079*\"octob\" + 0.076*\"sens\" + 0.076*\"januari\" + 0.070*\"notion\" + 0.070*\"juli\" + 0.068*\"april\" + 0.067*\"judici\" + 0.067*\"august\" + 0.067*\"decatur\"\n", + "2019-01-31 00:25:18,968 : INFO : topic #35 (0.020): 0.050*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.022*\"personifi\" + 0.021*\"reprint\" + 0.018*\"unfortun\" + 0.017*\"poland\" + 0.017*\"moscow\" + 0.015*\"tyrant\"\n", + "2019-01-31 00:25:18,973 : INFO : topic diff=0.011214, rho=0.059444\n", + "2019-01-31 00:25:19,125 : INFO : PROGRESS: pass 0, at document #568000/4922894\n", + "2019-01-31 00:25:20,525 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:20,791 : INFO : topic #23 (0.020): 0.143*\"audit\" + 0.068*\"best\" + 0.037*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.021*\"women\" + 0.019*\"festiv\" + 0.017*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:25:20,792 : INFO : topic #15 (0.020): 0.013*\"small\" + 0.012*\"develop\" + 0.010*\"commun\" + 0.010*\"organ\" + 0.009*\"word\" + 0.009*\"cultur\" + 0.009*\"group\" + 0.008*\"requir\" + 0.008*\"socialist\" + 0.008*\"human\"\n", + "2019-01-31 00:25:20,794 : INFO : topic #36 (0.020): 0.022*\"companhia\" + 0.010*\"network\" + 0.009*\"prognosi\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"manag\" + 0.008*\"includ\" + 0.008*\"oper\" + 0.008*\"base\" + 0.007*\"user\"\n", + "2019-01-31 00:25:20,795 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"physician\" + 0.019*\"compos\" + 0.019*\"theater\" + 0.016*\"orchestr\" + 0.014*\"olympo\" + 0.014*\"place\" + 0.013*\"damn\" + 0.012*\"wahl\"\n", + "2019-01-31 00:25:20,796 : INFO : topic #39 (0.020): 0.034*\"canada\" + 0.028*\"canadian\" + 0.020*\"taxpay\" + 0.019*\"scientist\" + 0.017*\"hoar\" + 0.016*\"basketbal\" + 0.015*\"toronto\" + 0.015*\"ontario\" + 0.011*\"confer\" + 0.011*\"clot\"\n", + "2019-01-31 00:25:20,802 : INFO : topic diff=0.012117, rho=0.059339\n", + "2019-01-31 00:25:20,957 : INFO : PROGRESS: pass 0, at document #570000/4922894\n", + "2019-01-31 00:25:22,362 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:22,628 : INFO : topic #29 (0.020): 0.011*\"start\" + 0.010*\"govern\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"bank\" + 0.007*\"function\" + 0.006*\"replac\" + 0.006*\"théori\" + 0.006*\"placement\"\n", + "2019-01-31 00:25:22,629 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.027*\"factor\" + 0.023*\"adulthood\" + 0.017*\"feel\" + 0.016*\"hostil\" + 0.015*\"male\" + 0.011*\"live\" + 0.010*\"plaisir\" + 0.010*\"yawn\" + 0.010*\"genu\"\n", + "2019-01-31 00:25:22,630 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.028*\"area\" + 0.028*\"regim\" + 0.027*\"cotton\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.021*\"prosper\"\n", + "2019-01-31 00:25:22,631 : INFO : topic #39 (0.020): 0.035*\"canada\" + 0.028*\"canadian\" + 0.020*\"taxpay\" + 0.018*\"scientist\" + 0.017*\"hoar\" + 0.016*\"basketbal\" + 0.015*\"toronto\" + 0.014*\"ontario\" + 0.012*\"confer\" + 0.011*\"clot\"\n", + "2019-01-31 00:25:22,632 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.007*\"god\" + 0.006*\"centuri\" + 0.006*\"dynam\"\n", + "2019-01-31 00:25:22,638 : INFO : topic diff=0.011523, rho=0.059235\n", + "2019-01-31 00:25:22,791 : INFO : PROGRESS: pass 0, at document #572000/4922894\n", + "2019-01-31 00:25:24,212 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:24,478 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.026*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:25:24,479 : INFO : topic #45 (0.020): 0.016*\"black\" + 0.015*\"western\" + 0.014*\"colder\" + 0.012*\"record\" + 0.010*\"blind\" + 0.010*\"illicit\" + 0.008*\"fifteenth\" + 0.007*\"light\" + 0.007*\"green\" + 0.007*\"jpg\"\n", + "2019-01-31 00:25:24,480 : INFO : topic #8 (0.020): 0.032*\"act\" + 0.028*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.016*\"ricardo\" + 0.012*\"case\" + 0.010*\"allei\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"rudolf\"\n", + "2019-01-31 00:25:24,482 : INFO : topic #39 (0.020): 0.035*\"canada\" + 0.028*\"canadian\" + 0.020*\"taxpay\" + 0.018*\"scientist\" + 0.017*\"hoar\" + 0.016*\"basketbal\" + 0.014*\"toronto\" + 0.014*\"ontario\" + 0.012*\"confer\" + 0.010*\"clot\"\n", + "2019-01-31 00:25:24,483 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"rosenwald\" + 0.010*\"highland\"\n", + "2019-01-31 00:25:24,488 : INFO : topic diff=0.011371, rho=0.059131\n", + "2019-01-31 00:25:24,706 : INFO : PROGRESS: pass 0, at document #574000/4922894\n", + "2019-01-31 00:25:26,191 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:26,457 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.004*\"night\" + 0.003*\"healthcar\" + 0.003*\"amphora\" + 0.003*\"ladi\"\n", + "2019-01-31 00:25:26,458 : INFO : topic #29 (0.020): 0.011*\"start\" + 0.010*\"govern\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"replac\" + 0.006*\"placement\" + 0.006*\"théori\"\n", + "2019-01-31 00:25:26,459 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"rosenwald\" + 0.010*\"depress\"\n", + "2019-01-31 00:25:26,460 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.011*\"aza\" + 0.010*\"king\" + 0.010*\"battalion\" + 0.009*\"empath\" + 0.009*\"teufel\" + 0.008*\"centuri\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"till\"\n", + "2019-01-31 00:25:26,461 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.008*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:25:26,467 : INFO : topic diff=0.011891, rho=0.059028\n", + "2019-01-31 00:25:26,623 : INFO : PROGRESS: pass 0, at document #576000/4922894\n", + "2019-01-31 00:25:28,045 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:28,312 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"josé\"\n", + "2019-01-31 00:25:28,313 : INFO : topic #45 (0.020): 0.016*\"black\" + 0.015*\"western\" + 0.014*\"colder\" + 0.012*\"record\" + 0.010*\"blind\" + 0.010*\"illicit\" + 0.009*\"fifteenth\" + 0.008*\"light\" + 0.007*\"green\" + 0.007*\"jpg\"\n", + "2019-01-31 00:25:28,314 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.039*\"shield\" + 0.020*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.010*\"coalit\" + 0.009*\"class\"\n", + "2019-01-31 00:25:28,315 : INFO : topic #6 (0.020): 0.066*\"fewer\" + 0.024*\"septemb\" + 0.022*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:25:28,316 : INFO : topic #36 (0.020): 0.022*\"companhia\" + 0.011*\"network\" + 0.009*\"prognosi\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.008*\"manag\" + 0.008*\"oper\" + 0.008*\"includ\" + 0.008*\"base\" + 0.007*\"produc\"\n", + "2019-01-31 00:25:28,322 : INFO : topic diff=0.010918, rho=0.058926\n", + "2019-01-31 00:25:28,478 : INFO : PROGRESS: pass 0, at document #578000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:25:29,906 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:30,172 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.017*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:25:30,173 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"media\" + 0.007*\"hormon\" + 0.006*\"cancer\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:25:30,174 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.033*\"cotton\" + 0.030*\"unionist\" + 0.028*\"american\" + 0.022*\"new\" + 0.013*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.011*\"violent\"\n", + "2019-01-31 00:25:30,175 : INFO : topic #20 (0.020): 0.130*\"scholar\" + 0.037*\"struggl\" + 0.030*\"high\" + 0.029*\"educ\" + 0.019*\"yawn\" + 0.017*\"collector\" + 0.014*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"district\" + 0.009*\"second\"\n", + "2019-01-31 00:25:30,176 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.039*\"shield\" + 0.020*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.010*\"coalit\" + 0.009*\"sai\"\n", + "2019-01-31 00:25:30,182 : INFO : topic diff=0.012336, rho=0.058824\n", + "2019-01-31 00:25:32,955 : INFO : -11.900 per-word bound, 3822.2 perplexity estimate based on a held-out corpus of 2000 documents with 556773 words\n", + "2019-01-31 00:25:32,955 : INFO : PROGRESS: pass 0, at document #580000/4922894\n", + "2019-01-31 00:25:34,414 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:34,680 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"rosenwald\" + 0.009*\"depress\"\n", + "2019-01-31 00:25:34,681 : INFO : topic #23 (0.020): 0.142*\"audit\" + 0.070*\"best\" + 0.037*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"noll\" + 0.022*\"japanes\" + 0.021*\"women\" + 0.019*\"festiv\" + 0.016*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:25:34,682 : INFO : topic #39 (0.020): 0.032*\"canada\" + 0.026*\"canadian\" + 0.020*\"taxpay\" + 0.019*\"scientist\" + 0.016*\"hoar\" + 0.015*\"basketbal\" + 0.015*\"toronto\" + 0.014*\"ontario\" + 0.012*\"confer\" + 0.010*\"new\"\n", + "2019-01-31 00:25:34,683 : INFO : topic #40 (0.020): 0.092*\"unit\" + 0.027*\"collector\" + 0.022*\"institut\" + 0.022*\"schuster\" + 0.017*\"requir\" + 0.017*\"student\" + 0.014*\"professor\" + 0.013*\"degre\" + 0.012*\"governor\" + 0.012*\"word\"\n", + "2019-01-31 00:25:34,684 : INFO : topic #9 (0.020): 0.078*\"bone\" + 0.039*\"american\" + 0.026*\"valour\" + 0.019*\"dutch\" + 0.017*\"player\" + 0.016*\"folei\" + 0.016*\"polit\" + 0.015*\"english\" + 0.011*\"simpler\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:25:34,690 : INFO : topic diff=0.009998, rho=0.058722\n", + "2019-01-31 00:25:34,843 : INFO : PROGRESS: pass 0, at document #582000/4922894\n", + "2019-01-31 00:25:36,252 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:36,519 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.020*\"aggress\" + 0.017*\"oper\" + 0.016*\"com\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:25:36,520 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.027*\"final\" + 0.022*\"tourist\" + 0.020*\"wife\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.017*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 00:25:36,521 : INFO : topic #6 (0.020): 0.066*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:25:36,522 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.019*\"taxpay\" + 0.016*\"candid\" + 0.016*\"squatter\" + 0.015*\"tornado\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.011*\"théori\" + 0.011*\"find\" + 0.011*\"rick\"\n", + "2019-01-31 00:25:36,523 : INFO : topic #8 (0.020): 0.030*\"act\" + 0.028*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.016*\"ricardo\" + 0.013*\"case\" + 0.009*\"legal\" + 0.009*\"polaris\" + 0.009*\"allei\" + 0.007*\"rudolf\"\n", + "2019-01-31 00:25:36,529 : INFO : topic diff=0.011187, rho=0.058621\n", + "2019-01-31 00:25:36,685 : INFO : PROGRESS: pass 0, at document #584000/4922894\n", + "2019-01-31 00:25:38,121 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:38,387 : INFO : topic #39 (0.020): 0.032*\"canada\" + 0.026*\"canadian\" + 0.020*\"taxpay\" + 0.018*\"scientist\" + 0.016*\"hoar\" + 0.016*\"basketbal\" + 0.015*\"toronto\" + 0.014*\"ontario\" + 0.014*\"confer\" + 0.011*\"new\"\n", + "2019-01-31 00:25:38,388 : INFO : topic #13 (0.020): 0.031*\"australia\" + 0.027*\"sourc\" + 0.027*\"new\" + 0.023*\"australian\" + 0.023*\"london\" + 0.022*\"england\" + 0.021*\"ireland\" + 0.020*\"british\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:25:38,389 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.013*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.009*\"paul\" + 0.008*\"mexican–american\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:25:38,391 : INFO : topic #33 (0.020): 0.056*\"french\" + 0.043*\"franc\" + 0.029*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:25:38,392 : INFO : topic #20 (0.020): 0.130*\"scholar\" + 0.037*\"struggl\" + 0.030*\"high\" + 0.029*\"educ\" + 0.019*\"yawn\" + 0.018*\"collector\" + 0.014*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"district\" + 0.008*\"second\"\n", + "2019-01-31 00:25:38,398 : INFO : topic diff=0.012064, rho=0.058521\n", + "2019-01-31 00:25:38,554 : INFO : PROGRESS: pass 0, at document #586000/4922894\n", + "2019-01-31 00:25:39,991 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:40,261 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:25:40,262 : INFO : topic #40 (0.020): 0.094*\"unit\" + 0.028*\"collector\" + 0.023*\"institut\" + 0.022*\"schuster\" + 0.017*\"requir\" + 0.017*\"student\" + 0.014*\"professor\" + 0.013*\"degre\" + 0.012*\"word\" + 0.012*\"governor\"\n", + "2019-01-31 00:25:40,263 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"produc\" + 0.009*\"elabor\" + 0.008*\"spectacl\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.008*\"candid\" + 0.007*\"develop\"\n", + "2019-01-31 00:25:40,264 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.080*\"octob\" + 0.075*\"sens\" + 0.073*\"januari\" + 0.071*\"notion\" + 0.068*\"juli\" + 0.067*\"april\" + 0.066*\"august\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 00:25:40,265 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.004*\"man\" + 0.004*\"deal\" + 0.004*\"like\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:25:40,271 : INFO : topic diff=0.010885, rho=0.058421\n", + "2019-01-31 00:25:40,426 : INFO : PROGRESS: pass 0, at document #588000/4922894\n", + "2019-01-31 00:25:41,844 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:42,110 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"bewild\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.005*\"night\" + 0.003*\"ladi\" + 0.003*\"amphora\" + 0.003*\"healthcar\"\n", + "2019-01-31 00:25:42,112 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.004*\"deal\" + 0.004*\"like\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:25:42,113 : INFO : topic #40 (0.020): 0.094*\"unit\" + 0.028*\"collector\" + 0.023*\"institut\" + 0.022*\"schuster\" + 0.018*\"requir\" + 0.017*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"governor\" + 0.012*\"word\"\n", + "2019-01-31 00:25:42,114 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.028*\"workplac\" + 0.027*\"men\" + 0.027*\"champion\" + 0.026*\"olymp\" + 0.023*\"medal\" + 0.021*\"event\" + 0.020*\"alic\" + 0.020*\"atheist\" + 0.020*\"rainfal\"\n", + "2019-01-31 00:25:42,115 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"woodcut\" + 0.010*\"origin\" + 0.010*\"form\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.007*\"centuri\" + 0.007*\"english\" + 0.006*\"god\"\n", + "2019-01-31 00:25:42,121 : INFO : topic diff=0.012561, rho=0.058321\n", + "2019-01-31 00:25:42,277 : INFO : PROGRESS: pass 0, at document #590000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:25:43,717 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:43,983 : INFO : topic #17 (0.020): 0.071*\"church\" + 0.021*\"cathol\" + 0.019*\"christian\" + 0.018*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.012*\"centuri\" + 0.012*\"dioces\" + 0.011*\"italian\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:25:43,984 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.006*\"bewild\" + 0.005*\"litig\" + 0.004*\"night\" + 0.003*\"christma\" + 0.003*\"ladi\" + 0.003*\"amphora\"\n", + "2019-01-31 00:25:43,986 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.027*\"men\" + 0.027*\"workplac\" + 0.027*\"champion\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.022*\"alic\" + 0.022*\"event\" + 0.021*\"rainfal\" + 0.021*\"atheist\"\n", + "2019-01-31 00:25:43,987 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:25:43,988 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.020*\"aggress\" + 0.019*\"walter\" + 0.019*\"armi\" + 0.016*\"com\" + 0.016*\"oper\" + 0.012*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 00:25:43,994 : INFO : topic diff=0.012532, rho=0.058222\n", + "2019-01-31 00:25:44,150 : INFO : PROGRESS: pass 0, at document #592000/4922894\n", + "2019-01-31 00:25:45,566 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:45,832 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.044*\"franc\" + 0.029*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.019*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:25:45,833 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.007*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.005*\"night\" + 0.003*\"christma\" + 0.003*\"ladi\" + 0.003*\"amphora\"\n", + "2019-01-31 00:25:45,835 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.027*\"act\" + 0.024*\"cortic\" + 0.017*\"start\" + 0.016*\"ricardo\" + 0.013*\"case\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.007*\"allei\"\n", + "2019-01-31 00:25:45,836 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.022*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:25:45,837 : INFO : topic #35 (0.020): 0.061*\"russia\" + 0.039*\"sovereignti\" + 0.031*\"rural\" + 0.025*\"turin\" + 0.024*\"poison\" + 0.022*\"reprint\" + 0.021*\"personifi\" + 0.018*\"moscow\" + 0.017*\"unfortun\" + 0.016*\"poland\"\n", + "2019-01-31 00:25:45,843 : INFO : topic diff=0.010819, rho=0.058124\n", + "2019-01-31 00:25:45,997 : INFO : PROGRESS: pass 0, at document #594000/4922894\n", + "2019-01-31 00:25:47,416 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:47,682 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"lobe\" + 0.008*\"sourc\"\n", + "2019-01-31 00:25:47,684 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"nativist\" + 0.010*\"class\" + 0.010*\"fleet\" + 0.010*\"ellison\"\n", + "2019-01-31 00:25:47,685 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.023*\"theater\" + 0.019*\"compos\" + 0.017*\"physician\" + 0.015*\"place\" + 0.014*\"orchestr\" + 0.014*\"damn\" + 0.014*\"olympo\" + 0.012*\"son\"\n", + "2019-01-31 00:25:47,686 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"disco\" + 0.008*\"caus\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"effect\" + 0.006*\"hormon\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:25:47,687 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"tourist\" + 0.020*\"wife\" + 0.018*\"champion\" + 0.018*\"taxpay\" + 0.016*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 00:25:47,693 : INFO : topic diff=0.011287, rho=0.058026\n", + "2019-01-31 00:25:47,853 : INFO : PROGRESS: pass 0, at document #596000/4922894\n", + "2019-01-31 00:25:49,275 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:49,541 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.010*\"class\" + 0.010*\"ellison\"\n", + "2019-01-31 00:25:49,543 : INFO : topic #16 (0.020): 0.032*\"king\" + 0.031*\"priest\" + 0.019*\"quarterli\" + 0.018*\"duke\" + 0.018*\"grammat\" + 0.016*\"idiosyncrat\" + 0.015*\"maria\" + 0.015*\"rotterdam\" + 0.014*\"brazil\" + 0.013*\"portugues\"\n", + "2019-01-31 00:25:49,544 : INFO : topic #36 (0.020): 0.022*\"companhia\" + 0.010*\"network\" + 0.009*\"prognosi\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"base\" + 0.008*\"includ\" + 0.008*\"oper\" + 0.007*\"pop\" + 0.007*\"manag\"\n", + "2019-01-31 00:25:49,545 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.027*\"champion\" + 0.027*\"workplac\" + 0.027*\"men\" + 0.026*\"olymp\" + 0.022*\"medal\" + 0.022*\"alic\" + 0.022*\"event\" + 0.021*\"rainfal\" + 0.020*\"atheist\"\n", + "2019-01-31 00:25:49,546 : INFO : topic #20 (0.020): 0.130*\"scholar\" + 0.038*\"struggl\" + 0.030*\"high\" + 0.029*\"educ\" + 0.019*\"yawn\" + 0.018*\"collector\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"gothic\" + 0.009*\"second\"\n", + "2019-01-31 00:25:49,552 : INFO : topic diff=0.011764, rho=0.057928\n", + "2019-01-31 00:25:49,716 : INFO : PROGRESS: pass 0, at document #598000/4922894\n", + "2019-01-31 00:25:51,175 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:51,441 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.011*\"author\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:25:51,442 : INFO : topic #6 (0.020): 0.067*\"fewer\" + 0.025*\"septemb\" + 0.021*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:25:51,443 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.027*\"champion\" + 0.027*\"workplac\" + 0.027*\"olymp\" + 0.027*\"men\" + 0.022*\"medal\" + 0.022*\"alic\" + 0.021*\"event\" + 0.021*\"rainfal\" + 0.020*\"atheist\"\n", + "2019-01-31 00:25:51,444 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"octob\" + 0.075*\"sens\" + 0.072*\"januari\" + 0.070*\"notion\" + 0.066*\"juli\" + 0.065*\"april\" + 0.064*\"august\" + 0.064*\"decatur\" + 0.061*\"judici\"\n", + "2019-01-31 00:25:51,445 : INFO : topic #1 (0.020): 0.050*\"china\" + 0.046*\"chilton\" + 0.030*\"korea\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.020*\"korean\" + 0.019*\"sourc\" + 0.013*\"leah\" + 0.012*\"kim\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:25:51,451 : INFO : topic diff=0.011433, rho=0.057831\n", + "2019-01-31 00:25:54,186 : INFO : -11.643 per-word bound, 3198.9 perplexity estimate based on a held-out corpus of 2000 documents with 567072 words\n", + "2019-01-31 00:25:54,186 : INFO : PROGRESS: pass 0, at document #600000/4922894\n", + "2019-01-31 00:25:55,613 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:55,879 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.010*\"govern\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.008*\"countri\" + 0.007*\"bank\" + 0.007*\"function\" + 0.006*\"placement\" + 0.006*\"replac\" + 0.006*\"new\"\n", + "2019-01-31 00:25:55,880 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.046*\"vigour\" + 0.045*\"tortur\" + 0.042*\"popolo\" + 0.029*\"regim\" + 0.029*\"cotton\" + 0.029*\"area\" + 0.025*\"citi\" + 0.023*\"multitud\" + 0.020*\"commun\"\n", + "2019-01-31 00:25:55,881 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.009*\"produc\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"spectacl\" + 0.007*\"candid\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:25:55,882 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"sovereignti\" + 0.030*\"rural\" + 0.026*\"reprint\" + 0.024*\"turin\" + 0.023*\"poison\" + 0.023*\"personifi\" + 0.019*\"moscow\" + 0.016*\"unfortun\" + 0.015*\"poland\"\n", + "2019-01-31 00:25:55,884 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.029*\"final\" + 0.022*\"tourist\" + 0.020*\"wife\" + 0.018*\"champion\" + 0.018*\"taxpay\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"workplac\"\n", + "2019-01-31 00:25:55,889 : INFO : topic diff=0.010249, rho=0.057735\n", + "2019-01-31 00:25:56,048 : INFO : PROGRESS: pass 0, at document #602000/4922894\n", + "2019-01-31 00:25:57,491 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:25:57,757 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:25:57,758 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"exampl\" + 0.007*\"théori\" + 0.007*\"frontal\" + 0.006*\"southern\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"mode\" + 0.006*\"poet\" + 0.006*\"measur\"\n", + "2019-01-31 00:25:57,759 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.004*\"deal\" + 0.004*\"like\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:25:57,761 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"develop\" + 0.010*\"organ\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"human\" + 0.007*\"requir\" + 0.007*\"student\"\n", + "2019-01-31 00:25:57,762 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"taxpay\" + 0.016*\"squatter\" + 0.015*\"candid\" + 0.015*\"tornado\" + 0.013*\"horac\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.012*\"ret\" + 0.011*\"find\"\n", + "2019-01-31 00:25:57,767 : INFO : topic diff=0.010893, rho=0.057639\n", + "2019-01-31 00:25:57,922 : INFO : PROGRESS: pass 0, at document #604000/4922894\n", + "2019-01-31 00:25:59,338 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:25:59,604 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.016*\"norwai\" + 0.016*\"sweden\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.014*\"swedish\" + 0.012*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"turkish\"\n", + "2019-01-31 00:25:59,605 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:25:59,606 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.013*\"pope\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.010*\"class\" + 0.009*\"coalit\"\n", + "2019-01-31 00:25:59,608 : INFO : topic #30 (0.020): 0.038*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:25:59,609 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 00:25:59,614 : INFO : topic diff=0.010261, rho=0.057544\n", + "2019-01-31 00:25:59,767 : INFO : PROGRESS: pass 0, at document #606000/4922894\n", + "2019-01-31 00:26:01,180 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:01,449 : INFO : topic #25 (0.020): 0.028*\"ring\" + 0.021*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"lobe\" + 0.008*\"sourc\"\n", + "2019-01-31 00:26:01,450 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"mexican\"\n", + "2019-01-31 00:26:01,451 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.040*\"american\" + 0.029*\"valour\" + 0.021*\"dutch\" + 0.018*\"polit\" + 0.017*\"folei\" + 0.017*\"player\" + 0.016*\"english\" + 0.011*\"wedg\" + 0.010*\"surnam\"\n", + "2019-01-31 00:26:01,452 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.004*\"deal\" + 0.004*\"like\" + 0.004*\"help\"\n", + "2019-01-31 00:26:01,454 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"aggress\" + 0.017*\"oper\" + 0.016*\"com\" + 0.012*\"unionist\" + 0.012*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airbu\"\n", + "2019-01-31 00:26:01,459 : INFO : topic diff=0.010976, rho=0.057448\n", + "2019-01-31 00:26:01,669 : INFO : PROGRESS: pass 0, at document #608000/4922894\n", + "2019-01-31 00:26:03,076 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:03,343 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"exampl\" + 0.007*\"southern\" + 0.007*\"théori\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"mode\" + 0.006*\"measur\" + 0.006*\"poet\"\n", + "2019-01-31 00:26:03,344 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.034*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.016*\"physician\" + 0.015*\"place\" + 0.015*\"damn\" + 0.015*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"son\"\n", + "2019-01-31 00:26:03,345 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"develop\" + 0.010*\"organ\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"human\" + 0.007*\"requir\" + 0.007*\"student\"\n", + "2019-01-31 00:26:03,347 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"mexican\"\n", + "2019-01-31 00:26:03,348 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.028*\"germani\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"vol\" + 0.013*\"der\" + 0.012*\"israel\" + 0.008*\"austria\" + 0.008*\"itali\" + 0.008*\"jeremiah\"\n", + "2019-01-31 00:26:03,354 : INFO : topic diff=0.010731, rho=0.057354\n", + "2019-01-31 00:26:03,508 : INFO : PROGRESS: pass 0, at document #610000/4922894\n", + "2019-01-31 00:26:04,932 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:05,198 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"exampl\" + 0.007*\"southern\" + 0.007*\"théori\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"mode\" + 0.006*\"poet\" + 0.006*\"measur\"\n", + "2019-01-31 00:26:05,199 : INFO : topic #40 (0.020): 0.091*\"unit\" + 0.027*\"collector\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.018*\"requir\" + 0.017*\"student\" + 0.015*\"professor\" + 0.012*\"governor\" + 0.012*\"word\" + 0.012*\"degre\"\n", + "2019-01-31 00:26:05,201 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.029*\"germani\" + 0.015*\"berlin\" + 0.014*\"vol\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.012*\"israel\" + 0.009*\"austria\" + 0.008*\"itali\" + 0.007*\"jeremiah\"\n", + "2019-01-31 00:26:05,202 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.057*\"parti\" + 0.027*\"democrat\" + 0.023*\"voluntari\" + 0.021*\"member\" + 0.018*\"polici\" + 0.017*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.014*\"report\"\n", + "2019-01-31 00:26:05,203 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"john\"\n", + "2019-01-31 00:26:05,209 : INFO : topic diff=0.010795, rho=0.057260\n", + "2019-01-31 00:26:05,367 : INFO : PROGRESS: pass 0, at document #612000/4922894\n", + "2019-01-31 00:26:06,829 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:07,095 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.025*\"new\" + 0.023*\"australian\" + 0.023*\"london\" + 0.023*\"england\" + 0.021*\"ireland\" + 0.020*\"british\" + 0.015*\"youth\" + 0.013*\"weekli\"\n", + "2019-01-31 00:26:07,096 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"aggress\" + 0.016*\"com\" + 0.016*\"oper\" + 0.012*\"unionist\" + 0.012*\"militari\" + 0.012*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:26:07,098 : INFO : topic #39 (0.020): 0.032*\"canada\" + 0.028*\"canadian\" + 0.019*\"taxpay\" + 0.018*\"scientist\" + 0.015*\"hoar\" + 0.015*\"basketbal\" + 0.014*\"toronto\" + 0.014*\"confer\" + 0.013*\"ontario\" + 0.011*\"new\"\n", + "2019-01-31 00:26:07,099 : INFO : topic #30 (0.020): 0.038*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:26:07,100 : INFO : topic #6 (0.020): 0.067*\"fewer\" + 0.026*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:26:07,106 : INFO : topic diff=0.011850, rho=0.057166\n", + "2019-01-31 00:26:07,264 : INFO : PROGRESS: pass 0, at document #614000/4922894\n", + "2019-01-31 00:26:08,709 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:08,975 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.010*\"piec\" + 0.009*\"focal\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:26:08,977 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.045*\"vigour\" + 0.044*\"tortur\" + 0.042*\"popolo\" + 0.030*\"cotton\" + 0.028*\"regim\" + 0.028*\"area\" + 0.024*\"multitud\" + 0.024*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:26:08,978 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"disco\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"treat\" + 0.006*\"hormon\" + 0.006*\"effect\"\n", + "2019-01-31 00:26:08,979 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.036*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.010*\"coalit\" + 0.010*\"class\"\n", + "2019-01-31 00:26:08,981 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"deal\" + 0.004*\"man\" + 0.004*\"like\" + 0.004*\"end\"\n", + "2019-01-31 00:26:08,987 : INFO : topic diff=0.009898, rho=0.057073\n", + "2019-01-31 00:26:09,139 : INFO : PROGRESS: pass 0, at document #616000/4922894\n", + "2019-01-31 00:26:10,557 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:10,823 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.008*\"mean\" + 0.008*\"uruguayan\" + 0.007*\"like\" + 0.007*\"centuri\" + 0.006*\"dynam\" + 0.006*\"english\"\n", + "2019-01-31 00:26:10,824 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.030*\"unionist\" + 0.030*\"cotton\" + 0.028*\"american\" + 0.023*\"new\" + 0.014*\"terri\" + 0.013*\"california\" + 0.012*\"warrior\" + 0.012*\"north\" + 0.011*\"year\"\n", + "2019-01-31 00:26:10,826 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"tortur\" + 0.042*\"popolo\" + 0.029*\"cotton\" + 0.028*\"area\" + 0.028*\"regim\" + 0.024*\"multitud\" + 0.024*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:26:10,827 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.009*\"disco\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"hormon\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:26:10,829 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.004*\"deal\" + 0.004*\"man\" + 0.004*\"like\" + 0.004*\"end\"\n", + "2019-01-31 00:26:10,834 : INFO : topic diff=0.011246, rho=0.056980\n", + "2019-01-31 00:26:10,992 : INFO : PROGRESS: pass 0, at document #618000/4922894\n", + "2019-01-31 00:26:12,421 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:12,687 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.030*\"sovereignti\" + 0.030*\"rural\" + 0.025*\"personifi\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.020*\"turin\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"tyrant\"\n", + "2019-01-31 00:26:12,688 : INFO : topic #46 (0.020): 0.023*\"stop\" + 0.015*\"sweden\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.014*\"treeless\" + 0.014*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 00:26:12,689 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"new\" + 0.023*\"australian\" + 0.023*\"england\" + 0.023*\"london\" + 0.020*\"ireland\" + 0.020*\"british\" + 0.015*\"youth\" + 0.014*\"weekli\"\n", + "2019-01-31 00:26:12,691 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:26:12,692 : INFO : topic #38 (0.020): 0.020*\"walter\" + 0.010*\"king\" + 0.010*\"aza\" + 0.009*\"empath\" + 0.009*\"battalion\" + 0.009*\"teufel\" + 0.008*\"centuri\" + 0.008*\"forc\" + 0.008*\"till\" + 0.007*\"armi\"\n", + "2019-01-31 00:26:12,698 : INFO : topic diff=0.009396, rho=0.056888\n", + "2019-01-31 00:26:15,397 : INFO : -11.501 per-word bound, 2897.9 perplexity estimate based on a held-out corpus of 2000 documents with 528109 words\n", + "2019-01-31 00:26:15,398 : INFO : PROGRESS: pass 0, at document #620000/4922894\n", + "2019-01-31 00:26:16,813 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:17,080 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.029*\"incumb\" + 0.015*\"islam\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.011*\"alam\" + 0.009*\"singh\" + 0.009*\"start\"\n", + "2019-01-31 00:26:17,081 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:26:17,082 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"disco\" + 0.007*\"proper\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"have\" + 0.006*\"hormon\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:26:17,083 : INFO : topic #3 (0.020): 0.039*\"present\" + 0.029*\"offic\" + 0.027*\"minist\" + 0.021*\"member\" + 0.020*\"gener\" + 0.019*\"seri\" + 0.017*\"govern\" + 0.016*\"chickasaw\" + 0.016*\"serv\" + 0.015*\"nation\"\n", + "2019-01-31 00:26:17,085 : INFO : topic #38 (0.020): 0.020*\"walter\" + 0.010*\"king\" + 0.010*\"aza\" + 0.009*\"empath\" + 0.009*\"battalion\" + 0.009*\"teufel\" + 0.008*\"centuri\" + 0.008*\"forc\" + 0.007*\"till\" + 0.007*\"armi\"\n", + "2019-01-31 00:26:17,091 : INFO : topic diff=0.009777, rho=0.056796\n", + "2019-01-31 00:26:17,245 : INFO : PROGRESS: pass 0, at document #622000/4922894\n", + "2019-01-31 00:26:18,664 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:18,930 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.027*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.018*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"degre\" + 0.012*\"governor\" + 0.012*\"word\"\n", + "2019-01-31 00:26:18,931 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.008*\"mean\" + 0.008*\"uruguayan\" + 0.007*\"like\" + 0.007*\"centuri\" + 0.007*\"god\" + 0.006*\"charact\"\n", + "2019-01-31 00:26:18,932 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"rosenwald\" + 0.010*\"depress\" + 0.009*\"briarwood\"\n", + "2019-01-31 00:26:18,934 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"taxpay\" + 0.016*\"ret\" + 0.015*\"candid\" + 0.014*\"tornado\" + 0.013*\"squatter\" + 0.012*\"driver\" + 0.012*\"horac\" + 0.011*\"fool\" + 0.011*\"find\"\n", + "2019-01-31 00:26:18,935 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:26:18,941 : INFO : topic diff=0.008711, rho=0.056705\n", + "2019-01-31 00:26:19,100 : INFO : PROGRESS: pass 0, at document #624000/4922894\n", + "2019-01-31 00:26:20,566 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:20,832 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.010*\"govern\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"bank\" + 0.007*\"function\" + 0.006*\"trace\" + 0.006*\"replac\" + 0.006*\"placement\"\n", + "2019-01-31 00:26:20,833 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.005*\"blue\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.004*\"night\" + 0.004*\"ladi\" + 0.003*\"york\" + 0.003*\"healthcar\"\n", + "2019-01-31 00:26:20,834 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"arsen\" + 0.038*\"line\" + 0.032*\"raid\" + 0.029*\"museo\" + 0.021*\"traceabl\" + 0.017*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:26:20,836 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"daughter\" + 0.011*\"john\"\n", + "2019-01-31 00:26:20,837 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.008*\"human\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"student\"\n", + "2019-01-31 00:26:20,843 : INFO : topic diff=0.011849, rho=0.056614\n", + "2019-01-31 00:26:21,001 : INFO : PROGRESS: pass 0, at document #626000/4922894\n", + "2019-01-31 00:26:22,437 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:22,703 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.028*\"incumb\" + 0.015*\"islam\" + 0.012*\"televis\" + 0.011*\"pakistan\" + 0.011*\"alam\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.010*\"start\" + 0.009*\"singh\"\n", + "2019-01-31 00:26:22,704 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.025*\"reconstruct\" + 0.022*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:26:22,705 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.023*\"adulthood\" + 0.019*\"feel\" + 0.016*\"hostil\" + 0.016*\"male\" + 0.012*\"live\" + 0.011*\"plaisir\" + 0.010*\"yawn\" + 0.009*\"genu\"\n", + "2019-01-31 00:26:22,707 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.020*\"dutch\" + 0.018*\"polit\" + 0.017*\"player\" + 0.016*\"folei\" + 0.016*\"english\" + 0.011*\"netherland\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:26:22,708 : INFO : topic #3 (0.020): 0.039*\"present\" + 0.029*\"offic\" + 0.028*\"minist\" + 0.021*\"member\" + 0.020*\"gener\" + 0.019*\"seri\" + 0.017*\"govern\" + 0.016*\"chickasaw\" + 0.015*\"serv\" + 0.015*\"nation\"\n", + "2019-01-31 00:26:22,713 : INFO : topic diff=0.009073, rho=0.056523\n", + "2019-01-31 00:26:22,871 : INFO : PROGRESS: pass 0, at document #628000/4922894\n", + "2019-01-31 00:26:24,315 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:24,581 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.011*\"aza\" + 0.010*\"king\" + 0.009*\"battalion\" + 0.009*\"teufel\" + 0.009*\"empath\" + 0.008*\"till\" + 0.008*\"centuri\" + 0.008*\"forc\" + 0.007*\"armi\"\n", + "2019-01-31 00:26:24,583 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"aggress\" + 0.016*\"com\" + 0.016*\"oper\" + 0.012*\"unionist\" + 0.012*\"militari\" + 0.011*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 00:26:24,584 : INFO : topic #17 (0.020): 0.073*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.017*\"bishop\" + 0.016*\"retroflex\" + 0.014*\"sail\" + 0.012*\"centuri\" + 0.009*\"historiographi\" + 0.009*\"italian\" + 0.008*\"poll\"\n", + "2019-01-31 00:26:24,585 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.021*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"santa\" + 0.011*\"josé\"\n", + "2019-01-31 00:26:24,586 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.017*\"champion\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.014*\"martin\" + 0.012*\"open\"\n", + "2019-01-31 00:26:24,592 : INFO : topic diff=0.011036, rho=0.056433\n", + "2019-01-31 00:26:24,748 : INFO : PROGRESS: pass 0, at document #630000/4922894\n", + "2019-01-31 00:26:26,155 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:26,421 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"rosenwald\" + 0.010*\"depress\" + 0.009*\"silicon\"\n", + "2019-01-31 00:26:26,422 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.008*\"mean\" + 0.008*\"uruguayan\" + 0.007*\"centuri\" + 0.007*\"like\" + 0.006*\"god\" + 0.006*\"dynam\"\n", + "2019-01-31 00:26:26,424 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.025*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:26:26,425 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.021*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 00:26:26,427 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.067*\"best\" + 0.037*\"yawn\" + 0.033*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:26:26,432 : INFO : topic diff=0.009004, rho=0.056344\n", + "2019-01-31 00:26:26,588 : INFO : PROGRESS: pass 0, at document #632000/4922894\n", + "2019-01-31 00:26:28,022 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:28,289 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.010*\"govern\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"replac\" + 0.006*\"trace\" + 0.006*\"théori\"\n", + "2019-01-31 00:26:28,290 : INFO : topic #46 (0.020): 0.022*\"stop\" + 0.015*\"norwegian\" + 0.015*\"sweden\" + 0.015*\"norwai\" + 0.014*\"damag\" + 0.014*\"swedish\" + 0.014*\"wind\" + 0.013*\"treeless\" + 0.011*\"farid\" + 0.010*\"danish\"\n", + "2019-01-31 00:26:28,292 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.015*\"area\" + 0.014*\"mount\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"lobe\" + 0.008*\"land\"\n", + "2019-01-31 00:26:28,293 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.036*\"new\" + 0.023*\"palmer\" + 0.020*\"year\" + 0.017*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:26:28,294 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"rosenwald\" + 0.010*\"depress\" + 0.010*\"briarwood\"\n", + "2019-01-31 00:26:28,300 : INFO : topic diff=0.009596, rho=0.056254\n", + "2019-01-31 00:26:28,454 : INFO : PROGRESS: pass 0, at document #634000/4922894\n", + "2019-01-31 00:26:29,858 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:30,125 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.016*\"champion\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.012*\"open\"\n", + "2019-01-31 00:26:30,126 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"exampl\" + 0.007*\"southern\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.005*\"mode\" + 0.005*\"differ\"\n", + "2019-01-31 00:26:30,127 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.036*\"new\" + 0.023*\"palmer\" + 0.020*\"year\" + 0.017*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:26:30,128 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"vigour\" + 0.042*\"popolo\" + 0.041*\"tortur\" + 0.029*\"cotton\" + 0.029*\"regim\" + 0.027*\"area\" + 0.026*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:26:30,130 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.068*\"best\" + 0.037*\"yawn\" + 0.034*\"jacksonvil\" + 0.024*\"japanes\" + 0.020*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:26:30,135 : INFO : topic diff=0.009048, rho=0.056166\n", + "2019-01-31 00:26:30,289 : INFO : PROGRESS: pass 0, at document #636000/4922894\n", + "2019-01-31 00:26:31,715 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:31,981 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.030*\"rural\" + 0.029*\"sovereignti\" + 0.027*\"personifi\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.019*\"moscow\" + 0.017*\"turin\" + 0.017*\"poland\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:26:31,982 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.036*\"publicis\" + 0.023*\"word\" + 0.016*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.011*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:26:31,983 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"vigour\" + 0.042*\"popolo\" + 0.041*\"tortur\" + 0.029*\"regim\" + 0.029*\"cotton\" + 0.028*\"area\" + 0.026*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:26:31,984 : INFO : topic #6 (0.020): 0.067*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"produc\" + 0.010*\"direct\" + 0.010*\"movi\"\n", + "2019-01-31 00:26:31,986 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"taxpay\" + 0.015*\"candid\" + 0.015*\"ret\" + 0.014*\"squatter\" + 0.014*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.012*\"driver\" + 0.010*\"champion\"\n", + "2019-01-31 00:26:31,992 : INFO : topic diff=0.010206, rho=0.056077\n", + "2019-01-31 00:26:32,206 : INFO : PROGRESS: pass 0, at document #638000/4922894\n", + "2019-01-31 00:26:33,661 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:33,926 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.035*\"new\" + 0.022*\"palmer\" + 0.020*\"year\" + 0.017*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:26:33,927 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.036*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.013*\"blur\" + 0.013*\"pope\" + 0.010*\"nativist\" + 0.010*\"coalit\" + 0.009*\"crew\" + 0.009*\"class\"\n", + "2019-01-31 00:26:33,928 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.026*\"new\" + 0.024*\"london\" + 0.024*\"england\" + 0.022*\"australian\" + 0.021*\"ireland\" + 0.021*\"british\" + 0.016*\"youth\" + 0.015*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:26:33,930 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.026*\"cortic\" + 0.020*\"act\" + 0.017*\"start\" + 0.017*\"ricardo\" + 0.014*\"case\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.007*\"justic\"\n", + "2019-01-31 00:26:33,931 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.010*\"produc\" + 0.010*\"direct\" + 0.010*\"movi\"\n", + "2019-01-31 00:26:33,937 : INFO : topic diff=0.010140, rho=0.055989\n", + "2019-01-31 00:26:36,710 : INFO : -11.903 per-word bound, 3828.9 perplexity estimate based on a held-out corpus of 2000 documents with 575834 words\n", + "2019-01-31 00:26:36,710 : INFO : PROGRESS: pass 0, at document #640000/4922894\n", + "2019-01-31 00:26:38,151 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:38,418 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.067*\"best\" + 0.036*\"yawn\" + 0.033*\"jacksonvil\" + 0.026*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:26:38,419 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"produc\" + 0.010*\"direct\" + 0.010*\"movi\"\n", + "2019-01-31 00:26:38,420 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.005*\"blue\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.004*\"night\" + 0.004*\"ladi\" + 0.003*\"york\" + 0.003*\"dramatist\"\n", + "2019-01-31 00:26:38,421 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.035*\"new\" + 0.022*\"palmer\" + 0.020*\"year\" + 0.017*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:26:38,422 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"develop\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.008*\"human\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"student\"\n", + "2019-01-31 00:26:38,428 : INFO : topic diff=0.010132, rho=0.055902\n", + "2019-01-31 00:26:38,587 : INFO : PROGRESS: pass 0, at document #642000/4922894\n", + "2019-01-31 00:26:40,021 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:40,287 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"develop\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.008*\"human\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"student\"\n", + "2019-01-31 00:26:40,288 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"produc\" + 0.010*\"direct\" + 0.010*\"movi\"\n", + "2019-01-31 00:26:40,289 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.019*\"polici\" + 0.015*\"republ\" + 0.015*\"seaport\" + 0.014*\"bypass\" + 0.014*\"liber\"\n", + "2019-01-31 00:26:40,290 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.010*\"govern\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"bank\" + 0.007*\"function\" + 0.006*\"trace\" + 0.006*\"replac\" + 0.006*\"new\"\n", + "2019-01-31 00:26:40,291 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.027*\"germani\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.013*\"vol\" + 0.013*\"israel\" + 0.012*\"der\" + 0.010*\"austria\" + 0.009*\"hungarian\" + 0.009*\"jeremiah\"\n", + "2019-01-31 00:26:40,297 : INFO : topic diff=0.010181, rho=0.055815\n", + "2019-01-31 00:26:40,456 : INFO : PROGRESS: pass 0, at document #644000/4922894\n", + "2019-01-31 00:26:41,904 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:42,174 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.031*\"rural\" + 0.028*\"sovereignti\" + 0.026*\"personifi\" + 0.026*\"reprint\" + 0.024*\"poison\" + 0.020*\"moscow\" + 0.018*\"turin\" + 0.017*\"poland\" + 0.016*\"shirin\"\n", + "2019-01-31 00:26:42,175 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"produc\" + 0.008*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"candid\" + 0.007*\"develop\"\n", + "2019-01-31 00:26:42,176 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.022*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.009*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:26:42,178 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.048*\"chilton\" + 0.026*\"kong\" + 0.025*\"hong\" + 0.025*\"korea\" + 0.018*\"leah\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.013*\"kim\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:26:42,179 : INFO : topic #44 (0.020): 0.035*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.017*\"map\" + 0.016*\"champion\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\"\n", + "2019-01-31 00:26:42,184 : INFO : topic diff=0.010861, rho=0.055728\n", + "2019-01-31 00:26:42,337 : INFO : PROGRESS: pass 0, at document #646000/4922894\n", + "2019-01-31 00:26:43,745 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:44,011 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"utopian\" + 0.007*\"cytokin\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"servitud\"\n", + "2019-01-31 00:26:44,013 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"caus\" + 0.007*\"media\" + 0.007*\"proper\" + 0.007*\"acid\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.006*\"pathwai\" + 0.006*\"effect\"\n", + "2019-01-31 00:26:44,014 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.016*\"new\" + 0.015*\"edit\" + 0.014*\"presid\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:26:44,015 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.024*\"hous\" + 0.019*\"rivièr\" + 0.016*\"buford\" + 0.013*\"histor\" + 0.011*\"constitut\" + 0.011*\"rosenwald\" + 0.011*\"strategist\" + 0.010*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 00:26:44,016 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.026*\"cortic\" + 0.020*\"ricardo\" + 0.019*\"act\" + 0.017*\"start\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"justic\" + 0.008*\"judaism\"\n", + "2019-01-31 00:26:44,022 : INFO : topic diff=0.009319, rho=0.055641\n", + "2019-01-31 00:26:44,174 : INFO : PROGRESS: pass 0, at document #648000/4922894\n", + "2019-01-31 00:26:45,576 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:45,842 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"produc\" + 0.010*\"movi\" + 0.010*\"direct\"\n", + "2019-01-31 00:26:45,843 : INFO : topic #26 (0.020): 0.031*\"woman\" + 0.028*\"workplac\" + 0.028*\"champion\" + 0.026*\"alic\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.020*\"rainfal\" + 0.017*\"atheist\"\n", + "2019-01-31 00:26:45,844 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.024*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:26:45,846 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.030*\"rural\" + 0.029*\"sovereignti\" + 0.026*\"reprint\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.017*\"turin\" + 0.016*\"shirin\"\n", + "2019-01-31 00:26:45,847 : INFO : topic #20 (0.020): 0.134*\"scholar\" + 0.040*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.019*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"gothic\" + 0.008*\"class\"\n", + "2019-01-31 00:26:45,853 : INFO : topic diff=0.010850, rho=0.055556\n", + "2019-01-31 00:26:46,012 : INFO : PROGRESS: pass 0, at document #650000/4922894\n", + "2019-01-31 00:26:47,458 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:47,723 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.010*\"movi\" + 0.010*\"produc\" + 0.010*\"direct\"\n", + "2019-01-31 00:26:47,724 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.039*\"arsen\" + 0.038*\"line\" + 0.033*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.014*\"artist\" + 0.014*\"exhaust\"\n", + "2019-01-31 00:26:47,726 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.047*\"chilton\" + 0.027*\"kong\" + 0.027*\"hong\" + 0.025*\"korea\" + 0.018*\"leah\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.014*\"kim\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:26:47,727 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"develop\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"human\" + 0.008*\"peopl\" + 0.007*\"requir\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:26:47,728 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.013*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:26:47,734 : INFO : topic diff=0.009731, rho=0.055470\n", + "2019-01-31 00:26:47,893 : INFO : PROGRESS: pass 0, at document #652000/4922894\n", + "2019-01-31 00:26:49,337 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:49,603 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.022*\"theater\" + 0.020*\"compos\" + 0.017*\"place\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.014*\"physician\" + 0.012*\"olympo\" + 0.011*\"son\"\n", + "2019-01-31 00:26:49,604 : INFO : topic #46 (0.020): 0.023*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"treeless\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.015*\"swedish\" + 0.013*\"damag\" + 0.012*\"farid\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:26:49,606 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.007*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"deal\" + 0.004*\"like\" + 0.004*\"help\"\n", + "2019-01-31 00:26:49,607 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.029*\"incumb\" + 0.015*\"televis\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"start\" + 0.010*\"sri\" + 0.010*\"alam\"\n", + "2019-01-31 00:26:49,608 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.024*\"adulthood\" + 0.018*\"feel\" + 0.016*\"male\" + 0.015*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.009*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:26:49,614 : INFO : topic diff=0.010291, rho=0.055385\n", + "2019-01-31 00:26:49,767 : INFO : PROGRESS: pass 0, at document #654000/4922894\n", + "2019-01-31 00:26:51,150 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:51,416 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.029*\"incumb\" + 0.014*\"televis\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.011*\"muskoge\" + 0.011*\"sri\" + 0.010*\"khalsa\" + 0.010*\"start\" + 0.010*\"alam\"\n", + "2019-01-31 00:26:51,417 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.016*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"produc\" + 0.007*\"veget\" + 0.007*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"develop\"\n", + "2019-01-31 00:26:51,418 : INFO : topic #27 (0.020): 0.065*\"questionnair\" + 0.019*\"taxpay\" + 0.015*\"ret\" + 0.015*\"candid\" + 0.014*\"tornado\" + 0.013*\"squatter\" + 0.012*\"fool\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"champion\"\n", + "2019-01-31 00:26:51,419 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.047*\"vigour\" + 0.043*\"tortur\" + 0.042*\"popolo\" + 0.029*\"cotton\" + 0.027*\"regim\" + 0.027*\"area\" + 0.025*\"multitud\" + 0.023*\"citi\" + 0.019*\"prosper\"\n", + "2019-01-31 00:26:51,421 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.034*\"new\" + 0.022*\"palmer\" + 0.019*\"year\" + 0.016*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:26:51,426 : INFO : topic diff=0.009358, rho=0.055300\n", + "2019-01-31 00:26:51,586 : INFO : PROGRESS: pass 0, at document #656000/4922894\n", + "2019-01-31 00:26:53,025 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:53,291 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.071*\"juli\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.068*\"august\" + 0.067*\"april\" + 0.066*\"decatur\" + 0.065*\"judici\"\n", + "2019-01-31 00:26:53,292 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.037*\"line\" + 0.037*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.015*\"pain\" + 0.014*\"artist\" + 0.013*\"exhaust\"\n", + "2019-01-31 00:26:53,293 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.037*\"yawn\" + 0.032*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"noll\" + 0.020*\"women\" + 0.019*\"festiv\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:26:53,294 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.034*\"new\" + 0.022*\"palmer\" + 0.019*\"year\" + 0.016*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:26:53,295 : INFO : topic #36 (0.020): 0.019*\"companhia\" + 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"develop\" + 0.009*\"pop\" + 0.009*\"serv\" + 0.008*\"includ\" + 0.008*\"oper\" + 0.007*\"user\" + 0.007*\"base\"\n", + "2019-01-31 00:26:53,301 : INFO : topic diff=0.010270, rho=0.055216\n", + "2019-01-31 00:26:53,460 : INFO : PROGRESS: pass 0, at document #658000/4922894\n", + "2019-01-31 00:26:54,879 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:55,145 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.044*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.010*\"simpler\"\n", + "2019-01-31 00:26:55,147 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.014*\"televis\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.011*\"sri\" + 0.010*\"khalsa\" + 0.010*\"start\" + 0.010*\"alam\"\n", + "2019-01-31 00:26:55,148 : INFO : topic #36 (0.020): 0.019*\"companhia\" + 0.011*\"network\" + 0.010*\"develop\" + 0.009*\"prognosi\" + 0.009*\"pop\" + 0.008*\"serv\" + 0.008*\"includ\" + 0.008*\"oper\" + 0.007*\"base\" + 0.007*\"user\"\n", + "2019-01-31 00:26:55,149 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"oper\" + 0.016*\"com\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:26:55,150 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.031*\"canadian\" + 0.019*\"scientist\" + 0.018*\"taxpay\" + 0.017*\"hoar\" + 0.017*\"toronto\" + 0.016*\"basketbal\" + 0.014*\"confer\" + 0.014*\"ontario\" + 0.011*\"new\"\n", + "2019-01-31 00:26:55,156 : INFO : topic diff=0.010948, rho=0.055132\n", + "2019-01-31 00:26:57,954 : INFO : -11.596 per-word bound, 3096.3 perplexity estimate based on a held-out corpus of 2000 documents with 573499 words\n", + "2019-01-31 00:26:57,955 : INFO : PROGRESS: pass 0, at document #660000/4922894\n", + "2019-01-31 00:26:59,409 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:26:59,675 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"televis\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.011*\"start\" + 0.010*\"sri\" + 0.010*\"alam\"\n", + "2019-01-31 00:26:59,676 : INFO : topic #48 (0.020): 0.078*\"march\" + 0.076*\"sens\" + 0.075*\"octob\" + 0.070*\"juli\" + 0.069*\"januari\" + 0.069*\"august\" + 0.067*\"notion\" + 0.065*\"decatur\" + 0.065*\"april\" + 0.064*\"judici\"\n", + "2019-01-31 00:26:59,677 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.007*\"man\" + 0.005*\"blue\" + 0.005*\"bewild\" + 0.004*\"night\" + 0.004*\"litig\" + 0.004*\"admit\" + 0.003*\"ladi\" + 0.003*\"dramatist\"\n", + "2019-01-31 00:26:59,679 : INFO : topic #20 (0.020): 0.131*\"scholar\" + 0.039*\"struggl\" + 0.030*\"high\" + 0.029*\"educ\" + 0.019*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"task\" + 0.008*\"class\"\n", + "2019-01-31 00:26:59,680 : INFO : topic #29 (0.020): 0.010*\"govern\" + 0.010*\"start\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"bank\" + 0.006*\"trace\" + 0.006*\"replac\" + 0.006*\"companhia\"\n", + "2019-01-31 00:26:59,686 : INFO : topic diff=0.010013, rho=0.055048\n", + "2019-01-31 00:26:59,840 : INFO : PROGRESS: pass 0, at document #662000/4922894\n", + "2019-01-31 00:27:01,251 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:01,517 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.024*\"cortic\" + 0.019*\"ricardo\" + 0.018*\"act\" + 0.017*\"start\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"justic\" + 0.007*\"judaism\"\n", + "2019-01-31 00:27:01,518 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"new\" + 0.025*\"sourc\" + 0.024*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.022*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:27:01,519 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.010*\"origin\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"centuri\" + 0.007*\"like\" + 0.007*\"god\" + 0.007*\"english\"\n", + "2019-01-31 00:27:01,521 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.014*\"mount\" + 0.011*\"foam\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"north\" + 0.008*\"lobe\"\n", + "2019-01-31 00:27:01,521 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.038*\"line\" + 0.037*\"arsen\" + 0.035*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.015*\"pain\" + 0.013*\"artist\" + 0.013*\"exhaust\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:27:01,527 : INFO : topic diff=0.009242, rho=0.054965\n", + "2019-01-31 00:27:01,689 : INFO : PROGRESS: pass 0, at document #664000/4922894\n", + "2019-01-31 00:27:03,160 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:03,430 : INFO : topic #4 (0.020): 0.025*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.008*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"develop\"\n", + "2019-01-31 00:27:03,431 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.067*\"best\" + 0.036*\"yawn\" + 0.032*\"jacksonvil\" + 0.024*\"japanes\" + 0.020*\"noll\" + 0.020*\"women\" + 0.019*\"festiv\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:27:03,432 : INFO : topic #48 (0.020): 0.077*\"march\" + 0.076*\"sens\" + 0.075*\"octob\" + 0.068*\"juli\" + 0.068*\"januari\" + 0.067*\"august\" + 0.066*\"notion\" + 0.066*\"decatur\" + 0.064*\"april\" + 0.063*\"judici\"\n", + "2019-01-31 00:27:03,434 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.012*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:27:03,435 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.017*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"map\" + 0.013*\"martin\"\n", + "2019-01-31 00:27:03,440 : INFO : topic diff=0.011357, rho=0.054882\n", + "2019-01-31 00:27:03,597 : INFO : PROGRESS: pass 0, at document #666000/4922894\n", + "2019-01-31 00:27:05,022 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:05,288 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.029*\"germani\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"vol\" + 0.013*\"der\" + 0.012*\"israel\" + 0.008*\"austria\" + 0.008*\"jeremiah\" + 0.008*\"hungarian\"\n", + "2019-01-31 00:27:05,289 : INFO : topic #29 (0.020): 0.010*\"govern\" + 0.010*\"start\" + 0.009*\"million\" + 0.008*\"yawn\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"bank\" + 0.006*\"trace\" + 0.006*\"companhia\" + 0.006*\"replac\"\n", + "2019-01-31 00:27:05,290 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.031*\"sovereignti\" + 0.030*\"rural\" + 0.028*\"reprint\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.019*\"poland\" + 0.018*\"moscow\" + 0.015*\"czech\" + 0.015*\"turin\"\n", + "2019-01-31 00:27:05,291 : INFO : topic #43 (0.020): 0.061*\"elect\" + 0.055*\"parti\" + 0.026*\"democrat\" + 0.024*\"voluntari\" + 0.023*\"republ\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"liber\" + 0.014*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 00:27:05,292 : INFO : topic #39 (0.020): 0.038*\"canada\" + 0.031*\"canadian\" + 0.019*\"scientist\" + 0.018*\"taxpay\" + 0.017*\"hoar\" + 0.017*\"toronto\" + 0.015*\"basketbal\" + 0.014*\"ontario\" + 0.013*\"confer\" + 0.011*\"new\"\n", + "2019-01-31 00:27:05,298 : INFO : topic diff=0.009918, rho=0.054800\n", + "2019-01-31 00:27:05,454 : INFO : PROGRESS: pass 0, at document #668000/4922894\n", + "2019-01-31 00:27:06,887 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:07,153 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.013*\"televis\" + 0.012*\"muskoge\" + 0.011*\"start\" + 0.011*\"khalsa\" + 0.011*\"alam\" + 0.010*\"sri\"\n", + "2019-01-31 00:27:07,155 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"john\"\n", + "2019-01-31 00:27:07,156 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.014*\"mount\" + 0.011*\"foam\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"north\" + 0.008*\"lobe\"\n", + "2019-01-31 00:27:07,157 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"rel\" + 0.028*\"son\" + 0.025*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:27:07,158 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.008*\"veget\" + 0.008*\"encyclopedia\" + 0.008*\"produc\" + 0.008*\"candid\" + 0.007*\"develop\"\n", + "2019-01-31 00:27:07,164 : INFO : topic diff=0.009477, rho=0.054718\n", + "2019-01-31 00:27:07,373 : INFO : PROGRESS: pass 0, at document #670000/4922894\n", + "2019-01-31 00:27:08,800 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:09,067 : INFO : topic #46 (0.020): 0.022*\"stop\" + 0.017*\"sweden\" + 0.015*\"wind\" + 0.015*\"treeless\" + 0.015*\"norwai\" + 0.015*\"damag\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.012*\"huntsvil\" + 0.012*\"iceland\"\n", + "2019-01-31 00:27:09,068 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:27:09,069 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.034*\"cleveland\" + 0.030*\"place\" + 0.026*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:27:09,071 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.043*\"franc\" + 0.030*\"pari\" + 0.023*\"jean\" + 0.023*\"sail\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"focal\"\n", + "2019-01-31 00:27:09,072 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"human\" + 0.008*\"peopl\" + 0.007*\"student\"\n", + "2019-01-31 00:27:09,078 : INFO : topic diff=0.009115, rho=0.054636\n", + "2019-01-31 00:27:09,235 : INFO : PROGRESS: pass 0, at document #672000/4922894\n", + "2019-01-31 00:27:10,652 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:10,921 : INFO : topic #39 (0.020): 0.037*\"canada\" + 0.031*\"canadian\" + 0.018*\"scientist\" + 0.018*\"taxpay\" + 0.016*\"hoar\" + 0.016*\"toronto\" + 0.015*\"basketbal\" + 0.014*\"ontario\" + 0.013*\"confer\" + 0.011*\"new\"\n", + "2019-01-31 00:27:10,922 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.016*\"com\" + 0.015*\"oper\" + 0.012*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:27:10,923 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.034*\"perceptu\" + 0.021*\"theater\" + 0.020*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:27:10,924 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.013*\"televis\" + 0.011*\"muskoge\" + 0.011*\"alam\" + 0.011*\"start\" + 0.011*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 00:27:10,926 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"john\"\n", + "2019-01-31 00:27:10,932 : INFO : topic diff=0.010958, rho=0.054554\n", + "2019-01-31 00:27:11,089 : INFO : PROGRESS: pass 0, at document #674000/4922894\n", + "2019-01-31 00:27:12,528 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:12,795 : INFO : topic #27 (0.020): 0.066*\"questionnair\" + 0.020*\"taxpay\" + 0.016*\"ret\" + 0.016*\"candid\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"squatter\" + 0.011*\"tornado\" + 0.011*\"find\" + 0.011*\"champion\"\n", + "2019-01-31 00:27:12,796 : INFO : topic #17 (0.020): 0.070*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.011*\"centuri\" + 0.009*\"relationship\" + 0.009*\"italian\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:27:12,797 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.016*\"com\" + 0.015*\"oper\" + 0.012*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:27:12,798 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.013*\"televis\" + 0.011*\"alam\" + 0.011*\"muskoge\" + 0.010*\"start\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 00:27:12,799 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.028*\"germani\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"vol\" + 0.012*\"der\" + 0.012*\"israel\" + 0.008*\"greek\" + 0.008*\"austria\" + 0.008*\"jeremiah\"\n", + "2019-01-31 00:27:12,805 : INFO : topic diff=0.009570, rho=0.054473\n", + "2019-01-31 00:27:12,965 : INFO : PROGRESS: pass 0, at document #676000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:27:14,422 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:14,688 : INFO : topic #17 (0.020): 0.070*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.014*\"sail\" + 0.014*\"retroflex\" + 0.011*\"centuri\" + 0.009*\"relationship\" + 0.009*\"italian\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:27:14,689 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.010*\"woodcut\" + 0.010*\"origin\" + 0.010*\"form\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"centuri\" + 0.007*\"like\" + 0.007*\"god\" + 0.006*\"english\"\n", + "2019-01-31 00:27:14,691 : INFO : topic #46 (0.020): 0.021*\"stop\" + 0.018*\"sweden\" + 0.015*\"wind\" + 0.015*\"damag\" + 0.015*\"swedish\" + 0.015*\"norwai\" + 0.014*\"treeless\" + 0.014*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"iceland\"\n", + "2019-01-31 00:27:14,692 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.007*\"disco\" + 0.007*\"have\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.006*\"acid\" + 0.006*\"hormon\" + 0.006*\"treat\"\n", + "2019-01-31 00:27:14,693 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.035*\"raid\" + 0.027*\"museo\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.016*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:27:14,699 : INFO : topic diff=0.009393, rho=0.054393\n", + "2019-01-31 00:27:14,853 : INFO : PROGRESS: pass 0, at document #678000/4922894\n", + "2019-01-31 00:27:16,271 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:16,537 : INFO : topic #27 (0.020): 0.066*\"questionnair\" + 0.020*\"taxpay\" + 0.016*\"candid\" + 0.015*\"ret\" + 0.014*\"fool\" + 0.013*\"driver\" + 0.011*\"champion\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.011*\"tornado\"\n", + "2019-01-31 00:27:16,538 : INFO : topic #45 (0.020): 0.017*\"black\" + 0.016*\"western\" + 0.012*\"colder\" + 0.012*\"jpg\" + 0.011*\"fifteenth\" + 0.011*\"record\" + 0.011*\"illicit\" + 0.009*\"blind\" + 0.008*\"green\" + 0.007*\"light\"\n", + "2019-01-31 00:27:16,539 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:27:16,540 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.046*\"vigour\" + 0.043*\"tortur\" + 0.042*\"popolo\" + 0.029*\"area\" + 0.028*\"cotton\" + 0.025*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.019*\"prosper\"\n", + "2019-01-31 00:27:16,541 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.039*\"line\" + 0.039*\"arsen\" + 0.035*\"raid\" + 0.027*\"museo\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.016*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:27:16,547 : INFO : topic diff=0.009438, rho=0.054313\n", + "2019-01-31 00:27:19,314 : INFO : -11.820 per-word bound, 3616.0 perplexity estimate based on a held-out corpus of 2000 documents with 570372 words\n", + "2019-01-31 00:27:19,315 : INFO : PROGRESS: pass 0, at document #680000/4922894\n", + "2019-01-31 00:27:20,756 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:21,023 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.029*\"pari\" + 0.024*\"jean\" + 0.022*\"sail\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"focal\"\n", + "2019-01-31 00:27:21,024 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.023*\"scientist\" + 0.023*\"player\" + 0.020*\"taxpay\" + 0.019*\"place\" + 0.012*\"clot\" + 0.012*\"folei\" + 0.012*\"leagu\" + 0.010*\"ruler\" + 0.010*\"reconstruct\"\n", + "2019-01-31 00:27:21,024 : INFO : topic #26 (0.020): 0.030*\"champion\" + 0.030*\"workplac\" + 0.029*\"woman\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.023*\"medal\" + 0.021*\"event\" + 0.019*\"rainfal\" + 0.018*\"nation\" + 0.018*\"alic\"\n", + "2019-01-31 00:27:21,026 : INFO : topic #20 (0.020): 0.135*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.017*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.008*\"gothic\" + 0.008*\"class\"\n", + "2019-01-31 00:27:21,027 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.016*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:27:21,032 : INFO : topic diff=0.008632, rho=0.054233\n", + "2019-01-31 00:27:21,190 : INFO : PROGRESS: pass 0, at document #682000/4922894\n", + "2019-01-31 00:27:22,620 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:22,886 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.034*\"new\" + 0.022*\"palmer\" + 0.018*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"dai\"\n", + "2019-01-31 00:27:22,887 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.018*\"sweden\" + 0.018*\"norwai\" + 0.016*\"norwegian\" + 0.015*\"swedish\" + 0.015*\"damag\" + 0.014*\"wind\" + 0.013*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"iceland\"\n", + "2019-01-31 00:27:22,888 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.040*\"line\" + 0.039*\"arsen\" + 0.034*\"raid\" + 0.029*\"museo\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.016*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:27:22,889 : INFO : topic #49 (0.020): 0.046*\"india\" + 0.030*\"incumb\" + 0.015*\"islam\" + 0.013*\"pakistan\" + 0.013*\"televis\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.011*\"alam\" + 0.010*\"start\" + 0.010*\"anglo\"\n", + "2019-01-31 00:27:22,890 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:27:22,896 : INFO : topic diff=0.009671, rho=0.054153\n", + "2019-01-31 00:27:23,063 : INFO : PROGRESS: pass 0, at document #684000/4922894\n", + "2019-01-31 00:27:24,525 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:24,791 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.034*\"sovereignti\" + 0.031*\"rural\" + 0.026*\"reprint\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.014*\"malaysia\" + 0.014*\"czech\"\n", + "2019-01-31 00:27:24,792 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.030*\"incumb\" + 0.015*\"islam\" + 0.013*\"televis\" + 0.013*\"pakistan\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.011*\"alam\" + 0.010*\"start\" + 0.010*\"anglo\"\n", + "2019-01-31 00:27:24,793 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.005*\"bewild\" + 0.005*\"blue\" + 0.005*\"night\" + 0.004*\"litig\" + 0.004*\"vision\" + 0.003*\"introductori\" + 0.003*\"admit\"\n", + "2019-01-31 00:27:24,794 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.034*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:27:24,795 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.018*\"irish\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"produc\" + 0.008*\"veget\" + 0.008*\"encyclopedia\" + 0.007*\"candid\"\n", + "2019-01-31 00:27:24,801 : INFO : topic diff=0.012123, rho=0.054074\n", + "2019-01-31 00:27:24,957 : INFO : PROGRESS: pass 0, at document #686000/4922894\n", + "2019-01-31 00:27:26,372 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:26,638 : INFO : topic #36 (0.020): 0.019*\"companhia\" + 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"serv\" + 0.009*\"develop\" + 0.009*\"manag\" + 0.009*\"pop\" + 0.008*\"softwar\" + 0.008*\"techniqu\" + 0.008*\"inform\"\n", + "2019-01-31 00:27:26,639 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.025*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.016*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.008*\"justic\" + 0.008*\"judaism\"\n", + "2019-01-31 00:27:26,640 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"deal\" + 0.004*\"like\" + 0.004*\"help\"\n", + "2019-01-31 00:27:26,641 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.025*\"collector\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.019*\"requir\" + 0.017*\"professor\" + 0.017*\"student\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:27:26,642 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.046*\"vigour\" + 0.044*\"tortur\" + 0.042*\"popolo\" + 0.028*\"area\" + 0.027*\"cotton\" + 0.025*\"regim\" + 0.025*\"multitud\" + 0.022*\"citi\" + 0.019*\"prosper\"\n", + "2019-01-31 00:27:26,648 : INFO : topic diff=0.007781, rho=0.053995\n", + "2019-01-31 00:27:26,802 : INFO : PROGRESS: pass 0, at document #688000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:27:28,220 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:28,486 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"king\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"empath\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"centuri\" + 0.007*\"till\"\n", + "2019-01-31 00:27:28,487 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:27:28,488 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:27:28,489 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.016*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:27:28,490 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.017*\"irish\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.009*\"candid\" + 0.008*\"produc\" + 0.008*\"veget\" + 0.008*\"encyclopedia\"\n", + "2019-01-31 00:27:28,496 : INFO : topic diff=0.009390, rho=0.053916\n", + "2019-01-31 00:27:28,653 : INFO : PROGRESS: pass 0, at document #690000/4922894\n", + "2019-01-31 00:27:30,065 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:30,332 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.020*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:27:30,333 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.018*\"norwai\" + 0.017*\"sweden\" + 0.017*\"damag\" + 0.016*\"norwegian\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"danish\"\n", + "2019-01-31 00:27:30,334 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.034*\"new\" + 0.023*\"palmer\" + 0.018*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 00:27:30,335 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"rel\" + 0.028*\"son\" + 0.025*\"reconstruct\" + 0.023*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:27:30,336 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.036*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"class\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"hawaii\"\n", + "2019-01-31 00:27:30,342 : INFO : topic diff=0.010920, rho=0.053838\n", + "2019-01-31 00:27:30,499 : INFO : PROGRESS: pass 0, at document #692000/4922894\n", + "2019-01-31 00:27:31,907 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:32,176 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.040*\"line\" + 0.040*\"arsen\" + 0.033*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.017*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:27:32,177 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.066*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:27:32,178 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.006*\"proper\" + 0.006*\"acid\" + 0.006*\"effect\"\n", + "2019-01-31 00:27:32,179 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.031*\"canadian\" + 0.018*\"scientist\" + 0.018*\"hoar\" + 0.017*\"taxpay\" + 0.015*\"toronto\" + 0.015*\"basketbal\" + 0.013*\"ontario\" + 0.012*\"confer\" + 0.011*\"hydrogen\"\n", + "2019-01-31 00:27:32,180 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"king\" + 0.010*\"teufel\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"till\" + 0.008*\"empath\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"centuri\"\n", + "2019-01-31 00:27:32,186 : INFO : topic diff=0.009530, rho=0.053760\n", + "2019-01-31 00:27:32,342 : INFO : PROGRESS: pass 0, at document #694000/4922894\n", + "2019-01-31 00:27:33,784 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:34,050 : INFO : topic #31 (0.020): 0.064*\"fusiform\" + 0.024*\"scientist\" + 0.023*\"player\" + 0.020*\"taxpay\" + 0.019*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.012*\"folei\" + 0.010*\"ruler\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:27:34,051 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.019*\"walter\" + 0.019*\"armi\" + 0.016*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.009*\"refut\"\n", + "2019-01-31 00:27:34,052 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"irish\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.009*\"candid\" + 0.008*\"produc\" + 0.008*\"veget\" + 0.008*\"encyclopedia\"\n", + "2019-01-31 00:27:34,054 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.038*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.017*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"gothic\" + 0.008*\"district\"\n", + "2019-01-31 00:27:34,054 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.026*\"new\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.024*\"australian\" + 0.022*\"england\" + 0.021*\"british\" + 0.020*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:27:34,060 : INFO : topic diff=0.010401, rho=0.053683\n", + "2019-01-31 00:27:34,216 : INFO : PROGRESS: pass 0, at document #696000/4922894\n", + "2019-01-31 00:27:35,651 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:35,917 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.019*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.010*\"foam\" + 0.008*\"palmer\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 00:27:35,918 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"rel\" + 0.028*\"son\" + 0.026*\"reconstruct\" + 0.023*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:27:35,919 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.026*\"factor\" + 0.022*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:27:35,920 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.036*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"class\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"crew\"\n", + "2019-01-31 00:27:35,921 : INFO : topic #34 (0.020): 0.074*\"start\" + 0.033*\"unionist\" + 0.030*\"cotton\" + 0.029*\"american\" + 0.022*\"new\" + 0.015*\"terri\" + 0.014*\"california\" + 0.012*\"warrior\" + 0.012*\"north\" + 0.011*\"year\"\n", + "2019-01-31 00:27:35,927 : INFO : topic diff=0.008782, rho=0.053606\n", + "2019-01-31 00:27:36,089 : INFO : PROGRESS: pass 0, at document #698000/4922894\n", + "2019-01-31 00:27:37,554 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:37,820 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.051*\"chilton\" + 0.025*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.012*\"kim\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:27:37,822 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"cytokin\" + 0.006*\"utopian\" + 0.006*\"southern\"\n", + "2019-01-31 00:27:37,823 : INFO : topic #34 (0.020): 0.074*\"start\" + 0.033*\"unionist\" + 0.029*\"cotton\" + 0.028*\"american\" + 0.022*\"new\" + 0.015*\"terri\" + 0.014*\"california\" + 0.012*\"warrior\" + 0.012*\"north\" + 0.012*\"year\"\n", + "2019-01-31 00:27:37,824 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.005*\"bewild\" + 0.005*\"blue\" + 0.004*\"night\" + 0.004*\"litig\" + 0.003*\"vision\" + 0.003*\"ladi\" + 0.003*\"wither\"\n", + "2019-01-31 00:27:37,825 : INFO : topic #46 (0.020): 0.022*\"stop\" + 0.017*\"norwai\" + 0.017*\"sweden\" + 0.016*\"damag\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.015*\"swedish\" + 0.013*\"treeless\" + 0.013*\"huntsvil\" + 0.011*\"farid\"\n", + "2019-01-31 00:27:37,831 : INFO : topic diff=0.011073, rho=0.053529\n", + "2019-01-31 00:27:40,487 : INFO : -11.839 per-word bound, 3664.7 perplexity estimate based on a held-out corpus of 2000 documents with 519573 words\n", + "2019-01-31 00:27:40,487 : INFO : PROGRESS: pass 0, at document #700000/4922894\n", + "2019-01-31 00:27:41,877 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:27:42,144 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.019*\"warmth\" + 0.017*\"area\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.010*\"foam\" + 0.008*\"palmer\" + 0.008*\"north\" + 0.008*\"lobe\" + 0.007*\"vacant\"\n", + "2019-01-31 00:27:42,145 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.004*\"deal\" + 0.004*\"like\" + 0.004*\"help\"\n", + "2019-01-31 00:27:42,146 : INFO : topic #46 (0.020): 0.021*\"stop\" + 0.020*\"sweden\" + 0.019*\"norwai\" + 0.017*\"damag\" + 0.015*\"swedish\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.013*\"treeless\" + 0.012*\"huntsvil\" + 0.011*\"farid\"\n", + "2019-01-31 00:27:42,147 : INFO : topic #6 (0.020): 0.067*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.015*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:27:42,149 : INFO : topic #30 (0.020): 0.034*\"cleveland\" + 0.034*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:27:42,155 : INFO : topic diff=0.009249, rho=0.053452\n", + "2019-01-31 00:27:42,362 : INFO : PROGRESS: pass 0, at document #702000/4922894\n", + "2019-01-31 00:27:43,791 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:44,058 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"centuri\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.007*\"english\" + 0.006*\"charact\"\n", + "2019-01-31 00:27:44,060 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.011*\"aza\" + 0.010*\"king\" + 0.010*\"teufel\" + 0.010*\"battalion\" + 0.009*\"till\" + 0.008*\"empath\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"centuri\"\n", + "2019-01-31 00:27:44,061 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.015*\"damn\" + 0.015*\"orchestr\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:27:44,062 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.018*\"ricardo\" + 0.017*\"act\" + 0.013*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"justic\" + 0.008*\"judaism\"\n", + "2019-01-31 00:27:44,063 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"john\" + 0.011*\"daughter\"\n", + "2019-01-31 00:27:44,069 : INFO : topic diff=0.008232, rho=0.053376\n", + "2019-01-31 00:27:44,235 : INFO : PROGRESS: pass 0, at document #704000/4922894\n", + "2019-01-31 00:27:45,714 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:45,980 : INFO : topic #45 (0.020): 0.016*\"black\" + 0.016*\"fifteenth\" + 0.015*\"western\" + 0.013*\"jpg\" + 0.013*\"colder\" + 0.012*\"record\" + 0.011*\"illicit\" + 0.010*\"blind\" + 0.009*\"arm\" + 0.008*\"green\"\n", + "2019-01-31 00:27:45,981 : INFO : topic #26 (0.020): 0.030*\"champion\" + 0.030*\"woman\" + 0.030*\"workplac\" + 0.028*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.021*\"event\" + 0.020*\"alic\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:27:45,982 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.016*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.009*\"rosenwald\" + 0.009*\"depress\"\n", + "2019-01-31 00:27:45,983 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"woodcut\" + 0.009*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"centuri\" + 0.007*\"like\" + 0.007*\"english\" + 0.006*\"charact\"\n", + "2019-01-31 00:27:45,984 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.010*\"million\" + 0.009*\"govern\" + 0.009*\"yawn\" + 0.007*\"countri\" + 0.007*\"bank\" + 0.007*\"companhia\" + 0.007*\"function\" + 0.006*\"trace\" + 0.006*\"inconclus\"\n", + "2019-01-31 00:27:45,990 : INFO : topic diff=0.010897, rho=0.053300\n", + "2019-01-31 00:27:46,146 : INFO : PROGRESS: pass 0, at document #706000/4922894\n", + "2019-01-31 00:27:47,567 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:47,833 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.011*\"woodcut\" + 0.010*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"centuri\" + 0.007*\"like\" + 0.006*\"english\" + 0.006*\"charact\"\n", + "2019-01-31 00:27:47,834 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.057*\"parti\" + 0.027*\"voluntari\" + 0.025*\"democrat\" + 0.020*\"member\" + 0.019*\"republ\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.014*\"seaport\"\n", + "2019-01-31 00:27:47,835 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"cytokin\" + 0.006*\"method\" + 0.006*\"utopian\"\n", + "2019-01-31 00:27:47,837 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.034*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:27:47,838 : INFO : topic #17 (0.020): 0.070*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.018*\"bishop\" + 0.014*\"sail\" + 0.014*\"retroflex\" + 0.011*\"centuri\" + 0.010*\"relationship\" + 0.009*\"italian\" + 0.008*\"historiographi\"\n", + "2019-01-31 00:27:47,844 : INFO : topic diff=0.009473, rho=0.053225\n", + "2019-01-31 00:27:47,996 : INFO : PROGRESS: pass 0, at document #708000/4922894\n", + "2019-01-31 00:27:49,416 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:49,682 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.033*\"sovereignti\" + 0.030*\"rural\" + 0.024*\"reprint\" + 0.024*\"personifi\" + 0.023*\"poison\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"malaysia\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:27:49,683 : INFO : topic #40 (0.020): 0.092*\"unit\" + 0.024*\"collector\" + 0.022*\"institut\" + 0.022*\"schuster\" + 0.019*\"requir\" + 0.017*\"student\" + 0.017*\"professor\" + 0.012*\"governor\" + 0.011*\"word\" + 0.011*\"http\"\n", + "2019-01-31 00:27:49,685 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"john\" + 0.011*\"daughter\"\n", + "2019-01-31 00:27:49,686 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.036*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"class\" + 0.010*\"nativist\" + 0.009*\"crew\"\n", + "2019-01-31 00:27:49,687 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.010*\"million\" + 0.009*\"govern\" + 0.009*\"yawn\" + 0.007*\"bank\" + 0.007*\"companhia\" + 0.007*\"countri\" + 0.006*\"function\" + 0.006*\"trace\" + 0.006*\"inconclus\"\n", + "2019-01-31 00:27:49,693 : INFO : topic diff=0.009469, rho=0.053149\n", + "2019-01-31 00:27:49,851 : INFO : PROGRESS: pass 0, at document #710000/4922894\n", + "2019-01-31 00:27:51,286 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:51,552 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.030*\"canadian\" + 0.016*\"scientist\" + 0.016*\"toronto\" + 0.016*\"ontario\" + 0.015*\"taxpay\" + 0.015*\"hoar\" + 0.013*\"basketbal\" + 0.013*\"hydrogen\" + 0.012*\"confer\"\n", + "2019-01-31 00:27:51,553 : INFO : topic #40 (0.020): 0.092*\"unit\" + 0.025*\"collector\" + 0.022*\"institut\" + 0.022*\"schuster\" + 0.019*\"requir\" + 0.017*\"student\" + 0.017*\"professor\" + 0.012*\"governor\" + 0.011*\"word\" + 0.011*\"http\"\n", + "2019-01-31 00:27:51,554 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.033*\"sovereignti\" + 0.030*\"rural\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"malaysia\" + 0.014*\"turin\"\n", + "2019-01-31 00:27:51,555 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.050*\"chilton\" + 0.028*\"hong\" + 0.028*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:27:51,556 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.057*\"parti\" + 0.027*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.018*\"republ\" + 0.018*\"polici\" + 0.015*\"bypass\" + 0.014*\"liber\" + 0.013*\"seaport\"\n", + "2019-01-31 00:27:51,562 : INFO : topic diff=0.010727, rho=0.053074\n", + "2019-01-31 00:27:51,720 : INFO : PROGRESS: pass 0, at document #712000/4922894\n", + "2019-01-31 00:27:53,120 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:53,389 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.033*\"new\" + 0.024*\"palmer\" + 0.017*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:27:53,390 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.010*\"organ\" + 0.010*\"word\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"socialist\"\n", + "2019-01-31 00:27:53,391 : INFO : topic #20 (0.020): 0.134*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"gothic\" + 0.008*\"campbel\"\n", + "2019-01-31 00:27:53,392 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.010*\"irish\" + 0.009*\"elabor\" + 0.009*\"candid\" + 0.008*\"produc\" + 0.008*\"veget\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:27:53,393 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.018*\"taxpay\" + 0.017*\"candid\" + 0.016*\"ret\" + 0.013*\"fool\" + 0.012*\"find\" + 0.012*\"driver\" + 0.012*\"tornado\" + 0.011*\"champion\" + 0.010*\"horac\"\n", + "2019-01-31 00:27:53,399 : INFO : topic diff=0.009532, rho=0.053000\n", + "2019-01-31 00:27:53,557 : INFO : PROGRESS: pass 0, at document #714000/4922894\n", + "2019-01-31 00:27:54,989 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:55,255 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"rhyme\" + 0.009*\"slur\" + 0.008*\"paul\"\n", + "2019-01-31 00:27:55,256 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.026*\"factor\" + 0.022*\"adulthood\" + 0.018*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:27:55,257 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.027*\"minist\" + 0.020*\"member\" + 0.020*\"gener\" + 0.019*\"seri\" + 0.017*\"govern\" + 0.016*\"nation\" + 0.015*\"chickasaw\" + 0.015*\"appeas\"\n", + "2019-01-31 00:27:55,258 : INFO : topic #0 (0.020): 0.072*\"statewid\" + 0.039*\"arsen\" + 0.037*\"line\" + 0.032*\"raid\" + 0.030*\"museo\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.016*\"pain\" + 0.014*\"artist\" + 0.014*\"exhaust\"\n", + "2019-01-31 00:27:55,259 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.012*\"der\" + 0.012*\"israel\" + 0.008*\"austria\" + 0.008*\"hungarian\" + 0.008*\"europ\"\n", + "2019-01-31 00:27:55,265 : INFO : topic diff=0.009276, rho=0.052926\n", + "2019-01-31 00:27:55,423 : INFO : PROGRESS: pass 0, at document #716000/4922894\n", + "2019-01-31 00:27:56,862 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:57,128 : INFO : topic #46 (0.020): 0.021*\"stop\" + 0.019*\"sweden\" + 0.018*\"damag\" + 0.018*\"norwai\" + 0.015*\"swedish\" + 0.015*\"norwegian\" + 0.014*\"ton\" + 0.013*\"wind\" + 0.012*\"treeless\" + 0.012*\"huntsvil\"\n", + "2019-01-31 00:27:57,129 : INFO : topic #45 (0.020): 0.016*\"black\" + 0.015*\"fifteenth\" + 0.015*\"western\" + 0.013*\"jpg\" + 0.013*\"colder\" + 0.012*\"record\" + 0.011*\"illicit\" + 0.010*\"blind\" + 0.009*\"arm\" + 0.007*\"green\"\n", + "2019-01-31 00:27:57,130 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.047*\"vigour\" + 0.042*\"tortur\" + 0.042*\"popolo\" + 0.031*\"cotton\" + 0.029*\"regim\" + 0.027*\"area\" + 0.025*\"multitud\" + 0.022*\"citi\" + 0.020*\"prosper\"\n", + "2019-01-31 00:27:57,130 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.020*\"member\" + 0.020*\"gener\" + 0.019*\"seri\" + 0.018*\"govern\" + 0.016*\"nation\" + 0.015*\"appeas\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:27:57,132 : INFO : topic #26 (0.020): 0.030*\"champion\" + 0.030*\"workplac\" + 0.029*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.022*\"event\" + 0.021*\"alic\" + 0.019*\"rainfal\" + 0.018*\"nation\"\n", + "2019-01-31 00:27:57,137 : INFO : topic diff=0.010792, rho=0.052852\n", + "2019-01-31 00:27:57,294 : INFO : PROGRESS: pass 0, at document #718000/4922894\n", + "2019-01-31 00:27:58,709 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:27:58,975 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.010*\"teufel\" + 0.010*\"battalion\" + 0.010*\"king\" + 0.009*\"empath\" + 0.009*\"till\" + 0.008*\"forc\" + 0.007*\"centuri\" + 0.007*\"armi\"\n", + "2019-01-31 00:27:58,976 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.020*\"gener\" + 0.020*\"member\" + 0.019*\"seri\" + 0.018*\"govern\" + 0.016*\"nation\" + 0.015*\"appeas\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:27:58,977 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.027*\"voluntari\" + 0.025*\"democrat\" + 0.020*\"member\" + 0.018*\"republ\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 00:27:58,978 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"man\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.004*\"night\" + 0.004*\"litig\" + 0.003*\"admit\" + 0.003*\"vision\" + 0.003*\"wither\"\n", + "2019-01-31 00:27:58,979 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.009*\"depress\" + 0.009*\"rosenwald\"\n", + "2019-01-31 00:27:58,985 : INFO : topic diff=0.009099, rho=0.052778\n", + "2019-01-31 00:28:01,721 : INFO : -11.684 per-word bound, 3291.0 perplexity estimate based on a held-out corpus of 2000 documents with 546750 words\n", + "2019-01-31 00:28:01,721 : INFO : PROGRESS: pass 0, at document #720000/4922894\n", + "2019-01-31 00:28:03,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:03,411 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.018*\"sweden\" + 0.018*\"damag\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.013*\"wind\" + 0.013*\"ton\" + 0.012*\"treeless\" + 0.012*\"huntsvil\"\n", + "2019-01-31 00:28:03,412 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.018*\"taxpay\" + 0.018*\"candid\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.012*\"fool\" + 0.011*\"squatter\" + 0.011*\"champion\"\n", + "2019-01-31 00:28:03,413 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.013*\"edit\" + 0.013*\"storag\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"levi\"\n", + "2019-01-31 00:28:03,414 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.023*\"tourist\" + 0.018*\"champion\" + 0.017*\"taxpay\" + 0.016*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.012*\"women\"\n", + "2019-01-31 00:28:03,415 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"man\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.004*\"night\" + 0.004*\"litig\" + 0.003*\"admit\" + 0.003*\"introductori\" + 0.003*\"york\"\n", + "2019-01-31 00:28:03,421 : INFO : topic diff=0.009619, rho=0.052705\n", + "2019-01-31 00:28:03,576 : INFO : PROGRESS: pass 0, at document #722000/4922894\n", + "2019-01-31 00:28:04,986 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:05,252 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.014*\"mount\" + 0.008*\"foam\" + 0.008*\"palmer\" + 0.008*\"north\" + 0.008*\"lobe\" + 0.008*\"sourc\"\n", + "2019-01-31 00:28:05,253 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.009*\"million\" + 0.009*\"govern\" + 0.009*\"yawn\" + 0.008*\"companhia\" + 0.007*\"bank\" + 0.007*\"countri\" + 0.006*\"function\" + 0.006*\"trace\" + 0.006*\"new\"\n", + "2019-01-31 00:28:05,255 : INFO : topic #39 (0.020): 0.040*\"canada\" + 0.030*\"canadian\" + 0.019*\"toronto\" + 0.016*\"ontario\" + 0.016*\"scientist\" + 0.015*\"taxpay\" + 0.015*\"hoar\" + 0.013*\"basketbal\" + 0.012*\"new\" + 0.012*\"confer\"\n", + "2019-01-31 00:28:05,256 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.009*\"rosenwald\" + 0.009*\"depress\"\n", + "2019-01-31 00:28:05,257 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"champion\"\n", + "2019-01-31 00:28:05,263 : INFO : topic diff=0.010817, rho=0.052632\n", + "2019-01-31 00:28:05,426 : INFO : PROGRESS: pass 0, at document #724000/4922894\n", + "2019-01-31 00:28:06,862 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:07,128 : INFO : topic #17 (0.020): 0.069*\"church\" + 0.022*\"cathol\" + 0.020*\"christian\" + 0.019*\"bishop\" + 0.014*\"sail\" + 0.013*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.008*\"italian\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:28:07,129 : INFO : topic #33 (0.020): 0.066*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:28:07,130 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"rel\" + 0.028*\"son\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:28:07,132 : INFO : topic #16 (0.020): 0.036*\"king\" + 0.032*\"priest\" + 0.022*\"grammat\" + 0.021*\"duke\" + 0.020*\"quarterli\" + 0.017*\"rotterdam\" + 0.015*\"idiosyncrat\" + 0.015*\"brazil\" + 0.014*\"princ\" + 0.014*\"maria\"\n", + "2019-01-31 00:28:07,133 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"josé\" + 0.010*\"francisco\"\n", + "2019-01-31 00:28:07,138 : INFO : topic diff=0.009092, rho=0.052559\n", + "2019-01-31 00:28:07,297 : INFO : PROGRESS: pass 0, at document #726000/4922894\n", + "2019-01-31 00:28:08,748 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:09,015 : INFO : topic #35 (0.020): 0.050*\"russia\" + 0.034*\"sovereignti\" + 0.030*\"rural\" + 0.026*\"reprint\" + 0.023*\"personifi\" + 0.021*\"poison\" + 0.019*\"moscow\" + 0.017*\"poland\" + 0.015*\"malaysia\" + 0.014*\"czech\"\n", + "2019-01-31 00:28:09,016 : INFO : topic #17 (0.020): 0.069*\"church\" + 0.023*\"cathol\" + 0.020*\"christian\" + 0.019*\"bishop\" + 0.014*\"sail\" + 0.013*\"retroflex\" + 0.011*\"centuri\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.008*\"historiographi\"\n", + "2019-01-31 00:28:09,017 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.016*\"com\" + 0.014*\"oper\" + 0.012*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:28:09,018 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.017*\"physician\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:28:09,019 : INFO : topic #33 (0.020): 0.066*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.012*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.009*\"focal\"\n", + "2019-01-31 00:28:09,025 : INFO : topic diff=0.011120, rho=0.052486\n", + "2019-01-31 00:28:09,178 : INFO : PROGRESS: pass 0, at document #728000/4922894\n", + "2019-01-31 00:28:10,585 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:10,851 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.038*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"pseudo\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:28:10,852 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.029*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.022*\"event\" + 0.020*\"alic\" + 0.018*\"rainfal\" + 0.018*\"nation\"\n", + "2019-01-31 00:28:10,853 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"septemb\" + 0.021*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.014*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:28:10,854 : INFO : topic #0 (0.020): 0.072*\"statewid\" + 0.038*\"line\" + 0.038*\"arsen\" + 0.034*\"raid\" + 0.029*\"museo\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.016*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:28:10,855 : INFO : topic #39 (0.020): 0.041*\"canada\" + 0.030*\"canadian\" + 0.018*\"toronto\" + 0.016*\"ontario\" + 0.016*\"scientist\" + 0.015*\"hoar\" + 0.015*\"taxpay\" + 0.013*\"basketbal\" + 0.013*\"confer\" + 0.012*\"new\"\n", + "2019-01-31 00:28:10,861 : INFO : topic diff=0.009583, rho=0.052414\n", + "2019-01-31 00:28:11,022 : INFO : PROGRESS: pass 0, at document #730000/4922894\n", + "2019-01-31 00:28:12,478 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:12,744 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.017*\"physician\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:28:12,745 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.016*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:28:12,746 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.024*\"london\" + 0.021*\"australian\" + 0.021*\"british\" + 0.021*\"england\" + 0.020*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:28:12,747 : INFO : topic #36 (0.020): 0.018*\"companhia\" + 0.011*\"network\" + 0.010*\"serv\" + 0.010*\"develop\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.008*\"base\" + 0.007*\"manag\" + 0.007*\"includ\" + 0.007*\"oper\"\n", + "2019-01-31 00:28:12,748 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.018*\"taxpay\" + 0.017*\"candid\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.011*\"ret\" + 0.011*\"squatter\" + 0.011*\"landslid\" + 0.010*\"fool\"\n", + "2019-01-31 00:28:12,754 : INFO : topic diff=0.012185, rho=0.052342\n", + "2019-01-31 00:28:12,914 : INFO : PROGRESS: pass 0, at document #732000/4922894\n", + "2019-01-31 00:28:14,325 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:14,594 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.037*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"pseudo\" + 0.009*\"task\" + 0.008*\"class\"\n", + "2019-01-31 00:28:14,595 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.056*\"parti\" + 0.026*\"voluntari\" + 0.025*\"democrat\" + 0.020*\"member\" + 0.018*\"polici\" + 0.017*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 00:28:14,597 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.033*\"new\" + 0.024*\"palmer\" + 0.017*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:28:14,598 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.023*\"tourist\" + 0.019*\"champion\" + 0.017*\"taxpay\" + 0.016*\"chamber\" + 0.016*\"martin\" + 0.014*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 00:28:14,599 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"rel\" + 0.028*\"son\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:28:14,605 : INFO : topic diff=0.009083, rho=0.052271\n", + "2019-01-31 00:28:14,764 : INFO : PROGRESS: pass 0, at document #734000/4922894\n", + "2019-01-31 00:28:16,210 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:16,476 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"sens\" + 0.074*\"octob\" + 0.072*\"januari\" + 0.069*\"juli\" + 0.068*\"august\" + 0.067*\"notion\" + 0.065*\"april\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 00:28:16,477 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:28:16,478 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.013*\"edit\" + 0.013*\"storag\" + 0.012*\"presid\" + 0.012*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"collect\"\n", + "2019-01-31 00:28:16,479 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.012*\"rival\" + 0.010*\"georg\" + 0.010*\"mexican–american\" + 0.009*\"rhyme\" + 0.009*\"slur\" + 0.008*\"paul\"\n", + "2019-01-31 00:28:16,481 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"night\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.003*\"ladi\" + 0.003*\"introductori\" + 0.003*\"vision\"\n", + "2019-01-31 00:28:16,486 : INFO : topic diff=0.010534, rho=0.052200\n", + "2019-01-31 00:28:16,700 : INFO : PROGRESS: pass 0, at document #736000/4922894\n", + "2019-01-31 00:28:18,086 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:18,352 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.022*\"act\" + 0.019*\"start\" + 0.016*\"ricardo\" + 0.014*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.007*\"replac\"\n", + "2019-01-31 00:28:18,353 : INFO : topic #17 (0.020): 0.070*\"church\" + 0.023*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.014*\"sail\" + 0.013*\"retroflex\" + 0.011*\"centuri\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:28:18,355 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.029*\"hong\" + 0.026*\"kong\" + 0.021*\"korea\" + 0.016*\"korean\" + 0.015*\"sourc\" + 0.015*\"min\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 00:28:18,356 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"night\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.003*\"vision\" + 0.003*\"ladi\" + 0.003*\"introductori\"\n", + "2019-01-31 00:28:18,357 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.004*\"like\" + 0.004*\"deal\" + 0.004*\"help\"\n", + "2019-01-31 00:28:18,363 : INFO : topic diff=0.010058, rho=0.052129\n", + "2019-01-31 00:28:18,522 : INFO : PROGRESS: pass 0, at document #738000/4922894\n", + "2019-01-31 00:28:19,963 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:20,230 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.014*\"driver\" + 0.013*\"find\" + 0.011*\"ret\" + 0.011*\"tornado\" + 0.011*\"landslid\" + 0.011*\"fool\" + 0.010*\"champion\"\n", + "2019-01-31 00:28:20,231 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.016*\"physician\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:28:20,232 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.033*\"new\" + 0.024*\"palmer\" + 0.017*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:28:20,233 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:28:20,234 : INFO : topic #39 (0.020): 0.042*\"canada\" + 0.031*\"canadian\" + 0.018*\"toronto\" + 0.015*\"ontario\" + 0.015*\"scientist\" + 0.015*\"hoar\" + 0.014*\"taxpay\" + 0.013*\"basketbal\" + 0.012*\"new\" + 0.012*\"confer\"\n", + "2019-01-31 00:28:20,241 : INFO : topic diff=0.010591, rho=0.052058\n", + "2019-01-31 00:28:23,019 : INFO : -11.716 per-word bound, 3364.1 perplexity estimate based on a held-out corpus of 2000 documents with 572016 words\n", + "2019-01-31 00:28:23,019 : INFO : PROGRESS: pass 0, at document #740000/4922894\n", + "2019-01-31 00:28:24,463 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:24,729 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"woodcut\" + 0.010*\"origin\" + 0.010*\"form\" + 0.008*\"mean\" + 0.008*\"centuri\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.006*\"charact\" + 0.006*\"english\"\n", + "2019-01-31 00:28:24,730 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.027*\"final\" + 0.023*\"tourist\" + 0.022*\"wife\" + 0.019*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 00:28:24,731 : INFO : topic #35 (0.020): 0.050*\"russia\" + 0.034*\"sovereignti\" + 0.030*\"rural\" + 0.025*\"reprint\" + 0.025*\"personifi\" + 0.021*\"poison\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"turin\" + 0.014*\"czech\"\n", + "2019-01-31 00:28:24,732 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"produc\" + 0.008*\"candid\" + 0.008*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"proclaim\"\n", + "2019-01-31 00:28:24,733 : INFO : topic #16 (0.020): 0.037*\"king\" + 0.033*\"priest\" + 0.024*\"quarterli\" + 0.021*\"grammat\" + 0.021*\"duke\" + 0.018*\"rotterdam\" + 0.015*\"idiosyncrat\" + 0.015*\"princ\" + 0.015*\"maria\" + 0.013*\"brazil\"\n", + "2019-01-31 00:28:24,739 : INFO : topic diff=0.009036, rho=0.051988\n", + "2019-01-31 00:28:24,893 : INFO : PROGRESS: pass 0, at document #742000/4922894\n", + "2019-01-31 00:28:26,275 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:26,544 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.008*\"centuri\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.006*\"god\" + 0.006*\"charact\"\n", + "2019-01-31 00:28:26,545 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.027*\"hong\" + 0.025*\"kong\" + 0.021*\"korea\" + 0.016*\"korean\" + 0.015*\"sourc\" + 0.014*\"leah\" + 0.014*\"min\" + 0.013*\"kim\"\n", + "2019-01-31 00:28:26,546 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.015*\"warmth\" + 0.015*\"mount\" + 0.011*\"palmer\" + 0.009*\"north\" + 0.008*\"vacant\" + 0.008*\"foam\" + 0.008*\"land\"\n", + "2019-01-31 00:28:26,547 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.020*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"pseudo\" + 0.009*\"gothic\"\n", + "2019-01-31 00:28:26,548 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.033*\"new\" + 0.024*\"palmer\" + 0.017*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:28:26,554 : INFO : topic diff=0.009144, rho=0.051917\n", + "2019-01-31 00:28:26,709 : INFO : PROGRESS: pass 0, at document #744000/4922894\n", + "2019-01-31 00:28:28,108 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:28,374 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.076*\"sens\" + 0.076*\"octob\" + 0.072*\"januari\" + 0.069*\"juli\" + 0.068*\"notion\" + 0.067*\"august\" + 0.067*\"decatur\" + 0.065*\"april\" + 0.064*\"judici\"\n", + "2019-01-31 00:28:28,375 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.004*\"like\" + 0.004*\"deal\" + 0.004*\"help\"\n", + "2019-01-31 00:28:28,376 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.009*\"million\" + 0.009*\"govern\" + 0.009*\"yawn\" + 0.008*\"companhia\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"trace\" + 0.006*\"new\"\n", + "2019-01-31 00:28:28,377 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.043*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.015*\"daphn\" + 0.012*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:28:28,378 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.012*\"jewish\" + 0.011*\"israel\" + 0.009*\"austria\" + 0.008*\"itali\" + 0.008*\"hungarian\"\n", + "2019-01-31 00:28:28,384 : INFO : topic diff=0.009368, rho=0.051848\n", + "2019-01-31 00:28:28,539 : INFO : PROGRESS: pass 0, at document #746000/4922894\n", + "2019-01-31 00:28:29,956 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:30,222 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.039*\"arsen\" + 0.038*\"line\" + 0.032*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.019*\"pain\" + 0.018*\"serv\" + 0.014*\"artist\" + 0.014*\"exhaust\"\n", + "2019-01-31 00:28:30,223 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.022*\"london\" + 0.022*\"australian\" + 0.022*\"ireland\" + 0.022*\"england\" + 0.020*\"british\" + 0.016*\"wale\" + 0.015*\"youth\"\n", + "2019-01-31 00:28:30,224 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.015*\"olympo\" + 0.015*\"physician\" + 0.014*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:28:30,226 : INFO : topic #35 (0.020): 0.051*\"russia\" + 0.034*\"sovereignti\" + 0.031*\"rural\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.022*\"poison\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.014*\"turin\" + 0.014*\"czech\"\n", + "2019-01-31 00:28:30,227 : INFO : topic #45 (0.020): 0.016*\"black\" + 0.015*\"fifteenth\" + 0.015*\"jpg\" + 0.014*\"western\" + 0.014*\"colder\" + 0.013*\"illicit\" + 0.011*\"record\" + 0.009*\"blind\" + 0.007*\"arm\" + 0.007*\"green\"\n", + "2019-01-31 00:28:30,233 : INFO : topic diff=0.008913, rho=0.051778\n", + "2019-01-31 00:28:30,391 : INFO : PROGRESS: pass 0, at document #748000/4922894\n", + "2019-01-31 00:28:31,834 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:32,100 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.022*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.021*\"ireland\" + 0.020*\"british\" + 0.016*\"wale\" + 0.015*\"youth\"\n", + "2019-01-31 00:28:32,101 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.018*\"taxpay\" + 0.017*\"candid\" + 0.014*\"driver\" + 0.014*\"horac\" + 0.013*\"find\" + 0.012*\"tornado\" + 0.012*\"ret\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 00:28:32,102 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.014*\"vol\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.012*\"jewish\" + 0.011*\"israel\" + 0.008*\"austria\" + 0.008*\"itali\" + 0.008*\"europ\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:28:32,104 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.021*\"act\" + 0.019*\"start\" + 0.016*\"ricardo\" + 0.014*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.008*\"replac\"\n", + "2019-01-31 00:28:32,105 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.048*\"chilton\" + 0.028*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.015*\"sourc\" + 0.015*\"korean\" + 0.014*\"leah\" + 0.013*\"kim\" + 0.013*\"min\"\n", + "2019-01-31 00:28:32,110 : INFO : topic diff=0.008882, rho=0.051709\n", + "2019-01-31 00:28:32,264 : INFO : PROGRESS: pass 0, at document #750000/4922894\n", + "2019-01-31 00:28:33,669 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:33,935 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.035*\"sovereignti\" + 0.031*\"rural\" + 0.025*\"reprint\" + 0.023*\"personifi\" + 0.022*\"poison\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:28:33,936 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.037*\"american\" + 0.028*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.016*\"english\" + 0.016*\"polit\" + 0.015*\"player\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:28:33,937 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.039*\"cotton\" + 0.030*\"unionist\" + 0.027*\"american\" + 0.022*\"new\" + 0.014*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"year\" + 0.011*\"north\"\n", + "2019-01-31 00:28:33,938 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.045*\"vigour\" + 0.041*\"tortur\" + 0.041*\"popolo\" + 0.039*\"area\" + 0.030*\"cotton\" + 0.027*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.018*\"commun\"\n", + "2019-01-31 00:28:33,940 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.016*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 00:28:33,945 : INFO : topic diff=0.008682, rho=0.051640\n", + "2019-01-31 00:28:34,106 : INFO : PROGRESS: pass 0, at document #752000/4922894\n", + "2019-01-31 00:28:35,528 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:35,794 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.033*\"new\" + 0.023*\"palmer\" + 0.017*\"year\" + 0.015*\"center\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.011*\"lobe\" + 0.010*\"includ\" + 0.008*\"highli\"\n", + "2019-01-31 00:28:35,795 : INFO : topic #32 (0.020): 0.058*\"district\" + 0.045*\"vigour\" + 0.041*\"tortur\" + 0.041*\"popolo\" + 0.039*\"area\" + 0.029*\"cotton\" + 0.027*\"regim\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:28:35,797 : INFO : topic #31 (0.020): 0.066*\"fusiform\" + 0.025*\"player\" + 0.023*\"scientist\" + 0.021*\"taxpay\" + 0.020*\"place\" + 0.013*\"leagu\" + 0.012*\"clot\" + 0.011*\"folei\" + 0.009*\"barber\" + 0.009*\"ruler\"\n", + "2019-01-31 00:28:35,798 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"method\"\n", + "2019-01-31 00:28:35,799 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.018*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"governor\" + 0.011*\"word\" + 0.010*\"http\"\n", + "2019-01-31 00:28:35,805 : INFO : topic diff=0.010350, rho=0.051571\n", + "2019-01-31 00:28:35,959 : INFO : PROGRESS: pass 0, at document #754000/4922894\n", + "2019-01-31 00:28:37,373 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:37,639 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.018*\"stop\" + 0.018*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.013*\"unjust\" + 0.012*\"treeless\" + 0.011*\"ton\"\n", + "2019-01-31 00:28:37,640 : INFO : topic #32 (0.020): 0.058*\"district\" + 0.045*\"vigour\" + 0.041*\"tortur\" + 0.041*\"popolo\" + 0.038*\"area\" + 0.029*\"cotton\" + 0.026*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:28:37,641 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.024*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\" + 0.011*\"lizard\"\n", + "2019-01-31 00:28:37,642 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.036*\"sovereignti\" + 0.031*\"rural\" + 0.025*\"reprint\" + 0.023*\"personifi\" + 0.022*\"poison\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"czech\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:28:37,643 : INFO : topic #29 (0.020): 0.010*\"start\" + 0.009*\"govern\" + 0.009*\"million\" + 0.009*\"companhia\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.006*\"function\" + 0.006*\"trace\" + 0.006*\"new\"\n", + "2019-01-31 00:28:37,649 : INFO : topic diff=0.008350, rho=0.051503\n", + "2019-01-31 00:28:37,804 : INFO : PROGRESS: pass 0, at document #756000/4922894\n", + "2019-01-31 00:28:39,213 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:39,479 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.025*\"player\" + 0.024*\"scientist\" + 0.021*\"taxpay\" + 0.021*\"place\" + 0.013*\"leagu\" + 0.012*\"clot\" + 0.011*\"folei\" + 0.009*\"barber\" + 0.009*\"ruler\"\n", + "2019-01-31 00:28:39,480 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:28:39,481 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.047*\"chilton\" + 0.027*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.016*\"leah\" + 0.015*\"korean\" + 0.015*\"sourc\" + 0.014*\"min\" + 0.014*\"kim\"\n", + "2019-01-31 00:28:39,482 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"collector\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.019*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"governor\" + 0.011*\"word\" + 0.010*\"http\"\n", + "2019-01-31 00:28:39,483 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"olympo\" + 0.015*\"damn\" + 0.015*\"physician\" + 0.014*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:28:39,490 : INFO : topic diff=0.009668, rho=0.051434\n", + "2019-01-31 00:28:39,647 : INFO : PROGRESS: pass 0, at document #758000/4922894\n", + "2019-01-31 00:28:41,157 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:41,423 : INFO : topic #0 (0.020): 0.071*\"statewid\" + 0.040*\"arsen\" + 0.038*\"line\" + 0.032*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.018*\"pain\" + 0.017*\"serv\" + 0.014*\"artist\" + 0.014*\"exhaust\"\n", + "2019-01-31 00:28:41,425 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.025*\"player\" + 0.024*\"scientist\" + 0.021*\"taxpay\" + 0.021*\"place\" + 0.013*\"leagu\" + 0.012*\"clot\" + 0.012*\"folei\" + 0.010*\"barber\" + 0.009*\"ruler\"\n", + "2019-01-31 00:28:41,426 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"collector\" + 0.024*\"schuster\" + 0.020*\"institut\" + 0.019*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"governor\" + 0.011*\"word\" + 0.011*\"http\"\n", + "2019-01-31 00:28:41,427 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.027*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.016*\"leah\" + 0.015*\"korean\" + 0.015*\"sourc\" + 0.014*\"min\" + 0.014*\"kim\"\n", + "2019-01-31 00:28:41,428 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.043*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.015*\"daphn\" + 0.012*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:28:41,434 : INFO : topic diff=0.008459, rho=0.051367\n", + "2019-01-31 00:28:44,196 : INFO : -11.812 per-word bound, 3594.4 perplexity estimate based on a held-out corpus of 2000 documents with 586166 words\n", + "2019-01-31 00:28:44,196 : INFO : PROGRESS: pass 0, at document #760000/4922894\n", + "2019-01-31 00:28:45,624 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:45,890 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.037*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 00:28:45,891 : INFO : topic #46 (0.020): 0.022*\"damag\" + 0.018*\"sweden\" + 0.017*\"stop\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.013*\"norwegian\" + 0.013*\"ton\" + 0.013*\"wind\" + 0.012*\"unjust\" + 0.011*\"treeless\"\n", + "2019-01-31 00:28:45,893 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.017*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.012*\"rival\" + 0.010*\"georg\" + 0.010*\"mexican–american\" + 0.009*\"wilson\" + 0.009*\"rhyme\" + 0.008*\"slur\"\n", + "2019-01-31 00:28:45,894 : INFO : topic #45 (0.020): 0.016*\"black\" + 0.016*\"fifteenth\" + 0.015*\"illicit\" + 0.015*\"jpg\" + 0.014*\"western\" + 0.013*\"colder\" + 0.011*\"record\" + 0.009*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:28:45,895 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.018*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:28:45,901 : INFO : topic diff=0.008575, rho=0.051299\n", + "2019-01-31 00:28:46,059 : INFO : PROGRESS: pass 0, at document #762000/4922894\n", + "2019-01-31 00:28:47,490 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:47,759 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.012*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:28:47,760 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"lizard\"\n", + "2019-01-31 00:28:47,761 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.007*\"exampl\" + 0.007*\"servitud\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.005*\"method\"\n", + "2019-01-31 00:28:47,762 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:28:47,764 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.024*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.018*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"governor\" + 0.011*\"word\" + 0.011*\"http\"\n", + "2019-01-31 00:28:47,769 : INFO : topic diff=0.008768, rho=0.051232\n", + "2019-01-31 00:28:47,923 : INFO : PROGRESS: pass 0, at document #764000/4922894\n", + "2019-01-31 00:28:49,323 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:49,588 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"australia\" + 0.024*\"london\" + 0.022*\"england\" + 0.022*\"australian\" + 0.021*\"ireland\" + 0.021*\"british\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:28:49,589 : INFO : topic #36 (0.020): 0.017*\"companhia\" + 0.011*\"network\" + 0.011*\"pop\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.009*\"prognosi\" + 0.008*\"base\" + 0.008*\"user\" + 0.008*\"includ\" + 0.007*\"manag\"\n", + "2019-01-31 00:28:49,590 : INFO : topic #45 (0.020): 0.016*\"black\" + 0.016*\"fifteenth\" + 0.015*\"jpg\" + 0.014*\"western\" + 0.014*\"illicit\" + 0.013*\"colder\" + 0.011*\"record\" + 0.009*\"blind\" + 0.007*\"green\" + 0.007*\"light\"\n", + "2019-01-31 00:28:49,592 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.012*\"jewish\" + 0.012*\"israel\" + 0.012*\"der\" + 0.009*\"itali\" + 0.009*\"europ\" + 0.008*\"austria\"\n", + "2019-01-31 00:28:49,593 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:28:49,599 : INFO : topic diff=0.008894, rho=0.051164\n", + "2019-01-31 00:28:49,816 : INFO : PROGRESS: pass 0, at document #766000/4922894\n", + "2019-01-31 00:28:51,246 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:51,512 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.012*\"jewish\" + 0.012*\"der\" + 0.009*\"itali\" + 0.008*\"europ\" + 0.008*\"austria\"\n", + "2019-01-31 00:28:51,513 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.074*\"januari\" + 0.072*\"notion\" + 0.071*\"juli\" + 0.070*\"august\" + 0.069*\"decatur\" + 0.069*\"april\" + 0.068*\"judici\"\n", + "2019-01-31 00:28:51,514 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.040*\"cotton\" + 0.031*\"unionist\" + 0.028*\"american\" + 0.023*\"new\" + 0.015*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.012*\"year\" + 0.011*\"north\"\n", + "2019-01-31 00:28:51,515 : INFO : topic #49 (0.020): 0.046*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"start\" + 0.010*\"singh\" + 0.009*\"alam\"\n", + "2019-01-31 00:28:51,516 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.036*\"shield\" + 0.020*\"narrat\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.013*\"coalit\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.011*\"class\" + 0.010*\"bahá\"\n", + "2019-01-31 00:28:51,522 : INFO : topic diff=0.008444, rho=0.051098\n", + "2019-01-31 00:28:51,688 : INFO : PROGRESS: pass 0, at document #768000/4922894\n", + "2019-01-31 00:28:53,120 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:53,386 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.015*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:28:53,387 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.056*\"parti\" + 0.027*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 00:28:53,388 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.005*\"night\" + 0.003*\"vision\" + 0.003*\"ladi\" + 0.003*\"healthcar\"\n", + "2019-01-31 00:28:53,389 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.031*\"canadian\" + 0.017*\"toronto\" + 0.016*\"hoar\" + 0.015*\"ontario\" + 0.015*\"basketbal\" + 0.014*\"taxpay\" + 0.014*\"scientist\" + 0.012*\"new\" + 0.012*\"confer\"\n", + "2019-01-31 00:28:53,390 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"storag\" + 0.013*\"nicola\" + 0.012*\"presid\" + 0.012*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:28:53,396 : INFO : topic diff=0.009250, rho=0.051031\n", + "2019-01-31 00:28:53,553 : INFO : PROGRESS: pass 0, at document #770000/4922894\n", + "2019-01-31 00:28:54,959 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:55,228 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"septemb\" + 0.022*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:28:55,229 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.005*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 00:28:55,230 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.046*\"chilton\" + 0.029*\"hong\" + 0.027*\"kong\" + 0.023*\"korea\" + 0.020*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.014*\"kim\" + 0.012*\"min\"\n", + "2019-01-31 00:28:55,232 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.037*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.020*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"task\" + 0.009*\"district\"\n", + "2019-01-31 00:28:55,233 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.033*\"new\" + 0.022*\"palmer\" + 0.016*\"year\" + 0.014*\"strategist\" + 0.014*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:28:55,239 : INFO : topic diff=0.008915, rho=0.050965\n", + "2019-01-31 00:28:55,401 : INFO : PROGRESS: pass 0, at document #772000/4922894\n", + "2019-01-31 00:28:56,856 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:57,122 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.041*\"tortur\" + 0.037*\"area\" + 0.028*\"cotton\" + 0.026*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:28:57,123 : INFO : topic #29 (0.020): 0.010*\"million\" + 0.010*\"start\" + 0.010*\"govern\" + 0.009*\"companhia\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"trace\" + 0.006*\"market\"\n", + "2019-01-31 00:28:57,124 : INFO : topic #36 (0.020): 0.016*\"companhia\" + 0.011*\"network\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.009*\"prognosi\" + 0.009*\"serv\" + 0.008*\"base\" + 0.008*\"includ\" + 0.007*\"user\" + 0.007*\"manag\"\n", + "2019-01-31 00:28:57,126 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.031*\"canadian\" + 0.017*\"hoar\" + 0.017*\"toronto\" + 0.015*\"ontario\" + 0.014*\"basketbal\" + 0.014*\"taxpay\" + 0.014*\"scientist\" + 0.012*\"new\" + 0.012*\"confer\"\n", + "2019-01-31 00:28:57,127 : INFO : topic #46 (0.020): 0.019*\"damag\" + 0.018*\"sweden\" + 0.017*\"stop\" + 0.016*\"norwai\" + 0.016*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.010*\"farid\" + 0.010*\"unjust\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:28:57,133 : INFO : topic diff=0.010324, rho=0.050899\n", + "2019-01-31 00:28:57,292 : INFO : PROGRESS: pass 0, at document #774000/4922894\n", + "2019-01-31 00:28:58,722 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:28:58,988 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.025*\"sail\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.014*\"loui\" + 0.012*\"lazi\" + 0.010*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:28:58,990 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.018*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.014*\"margin\" + 0.013*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:28:58,991 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.018*\"taxpay\" + 0.016*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:28:58,992 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.026*\"valour\" + 0.020*\"folei\" + 0.018*\"english\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"polit\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:28:58,993 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.009*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.004*\"night\" + 0.003*\"vision\" + 0.003*\"ladi\" + 0.003*\"madison\"\n", + "2019-01-31 00:28:58,999 : INFO : topic diff=0.009207, rho=0.050833\n", + "2019-01-31 00:28:59,154 : INFO : PROGRESS: pass 0, at document #776000/4922894\n", + "2019-01-31 00:29:00,578 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:00,844 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.025*\"player\" + 0.024*\"scientist\" + 0.021*\"taxpay\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"barber\" + 0.009*\"ruler\"\n", + "2019-01-31 00:29:00,846 : INFO : topic #16 (0.020): 0.037*\"king\" + 0.034*\"priest\" + 0.021*\"duke\" + 0.021*\"grammat\" + 0.020*\"quarterli\" + 0.017*\"rotterdam\" + 0.015*\"idiosyncrat\" + 0.014*\"maria\" + 0.014*\"princ\" + 0.013*\"brazil\"\n", + "2019-01-31 00:29:00,847 : INFO : topic #29 (0.020): 0.010*\"govern\" + 0.010*\"start\" + 0.009*\"million\" + 0.009*\"companhia\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"trace\" + 0.006*\"market\"\n", + "2019-01-31 00:29:00,848 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.027*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.009*\"yawn\" + 0.009*\"genu\"\n", + "2019-01-31 00:29:00,849 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"proper\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"hormon\" + 0.006*\"effect\"\n", + "2019-01-31 00:29:00,855 : INFO : topic diff=0.008623, rho=0.050767\n", + "2019-01-31 00:29:01,012 : INFO : PROGRESS: pass 0, at document #778000/4922894\n", + "2019-01-31 00:29:02,440 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:02,707 : INFO : topic #4 (0.020): 0.024*\"enfranchis\" + 0.016*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"candid\" + 0.009*\"produc\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:29:02,708 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.008*\"southern\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 00:29:02,709 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.019*\"act\" + 0.019*\"start\" + 0.015*\"ricardo\" + 0.013*\"case\" + 0.013*\"polaris\" + 0.009*\"legal\" + 0.009*\"judaism\" + 0.008*\"justic\"\n", + "2019-01-31 00:29:02,710 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"area\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.009*\"vacant\" + 0.008*\"foam\" + 0.008*\"sourc\"\n", + "2019-01-31 00:29:02,712 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.046*\"vigour\" + 0.042*\"popolo\" + 0.040*\"tortur\" + 0.036*\"area\" + 0.028*\"cotton\" + 0.026*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:29:02,717 : INFO : topic diff=0.008873, rho=0.050702\n", + "2019-01-31 00:29:05,364 : INFO : -11.571 per-word bound, 3042.2 perplexity estimate based on a held-out corpus of 2000 documents with 517534 words\n", + "2019-01-31 00:29:05,365 : INFO : PROGRESS: pass 0, at document #780000/4922894\n", + "2019-01-31 00:29:06,750 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:07,016 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.030*\"serv\" + 0.028*\"offic\" + 0.025*\"minist\" + 0.020*\"member\" + 0.017*\"govern\" + 0.017*\"seri\" + 0.017*\"nation\" + 0.017*\"gener\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:29:07,018 : INFO : topic #29 (0.020): 0.010*\"govern\" + 0.009*\"start\" + 0.009*\"million\" + 0.009*\"companhia\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"trace\" + 0.006*\"market\"\n", + "2019-01-31 00:29:07,019 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.043*\"franc\" + 0.030*\"pari\" + 0.025*\"sail\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.010*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:29:07,020 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"student\" + 0.007*\"human\"\n", + "2019-01-31 00:29:07,021 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.010*\"aza\" + 0.010*\"king\" + 0.010*\"battalion\" + 0.009*\"empath\" + 0.009*\"centuri\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"embassi\"\n", + "2019-01-31 00:29:07,027 : INFO : topic diff=0.008137, rho=0.050637\n", + "2019-01-31 00:29:07,182 : INFO : PROGRESS: pass 0, at document #782000/4922894\n", + "2019-01-31 00:29:08,595 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:08,862 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.010*\"aza\" + 0.010*\"king\" + 0.010*\"battalion\" + 0.009*\"empath\" + 0.009*\"centuri\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.007*\"embassi\" + 0.007*\"armi\"\n", + "2019-01-31 00:29:08,863 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"area\" + 0.015*\"mount\" + 0.011*\"palmer\" + 0.009*\"north\" + 0.008*\"vacant\" + 0.008*\"foam\" + 0.008*\"sourc\"\n", + "2019-01-31 00:29:08,865 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.022*\"christian\" + 0.021*\"cathol\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.010*\"centuri\" + 0.009*\"historiographi\" + 0.009*\"relationship\" + 0.009*\"poll\"\n", + "2019-01-31 00:29:08,866 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.039*\"cotton\" + 0.030*\"unionist\" + 0.027*\"american\" + 0.023*\"new\" + 0.015*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.012*\"year\" + 0.011*\"north\"\n", + "2019-01-31 00:29:08,867 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.009*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.004*\"night\" + 0.003*\"vision\" + 0.003*\"york\" + 0.003*\"ladi\"\n", + "2019-01-31 00:29:08,873 : INFO : topic diff=0.008638, rho=0.050572\n", + "2019-01-31 00:29:09,028 : INFO : PROGRESS: pass 0, at document #784000/4922894\n", + "2019-01-31 00:29:10,431 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:10,697 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.016*\"warmth\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.015*\"area\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.008*\"vacant\" + 0.008*\"foam\" + 0.008*\"sourc\"\n", + "2019-01-31 00:29:10,699 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:29:10,700 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.017*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:29:10,701 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.012*\"presid\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:29:10,702 : INFO : topic #29 (0.020): 0.009*\"govern\" + 0.009*\"million\" + 0.009*\"start\" + 0.009*\"companhia\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"market\" + 0.006*\"trace\"\n", + "2019-01-31 00:29:10,708 : INFO : topic diff=0.008466, rho=0.050508\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:29:10,871 : INFO : PROGRESS: pass 0, at document #786000/4922894\n", + "2019-01-31 00:29:12,334 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:12,601 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.013*\"storag\" + 0.012*\"presid\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:29:12,602 : INFO : topic #13 (0.020): 0.025*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"london\" + 0.021*\"england\" + 0.021*\"australian\" + 0.020*\"ireland\" + 0.020*\"british\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:29:12,603 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"utopian\" + 0.005*\"measur\"\n", + "2019-01-31 00:29:12,604 : INFO : topic #23 (0.020): 0.130*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 00:29:12,605 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.042*\"arsen\" + 0.036*\"line\" + 0.034*\"museo\" + 0.034*\"raid\" + 0.019*\"traceabl\" + 0.018*\"pain\" + 0.017*\"serv\" + 0.015*\"exhaust\" + 0.014*\"artist\"\n", + "2019-01-31 00:29:12,611 : INFO : topic diff=0.008958, rho=0.050443\n", + "2019-01-31 00:29:12,770 : INFO : PROGRESS: pass 0, at document #788000/4922894\n", + "2019-01-31 00:29:14,200 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:14,466 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"utopian\"\n", + "2019-01-31 00:29:14,468 : INFO : topic #31 (0.020): 0.065*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"player\" + 0.021*\"taxpay\" + 0.021*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.009*\"ruler\" + 0.009*\"barber\"\n", + "2019-01-31 00:29:14,469 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.042*\"american\" + 0.026*\"valour\" + 0.020*\"folei\" + 0.018*\"english\" + 0.017*\"dutch\" + 0.017*\"player\" + 0.015*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:29:14,470 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.010*\"linear\" + 0.010*\"strategist\" + 0.009*\"silicon\"\n", + "2019-01-31 00:29:14,471 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.027*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.010*\"biom\" + 0.010*\"yawn\"\n", + "2019-01-31 00:29:14,477 : INFO : topic diff=0.008537, rho=0.050379\n", + "2019-01-31 00:29:14,641 : INFO : PROGRESS: pass 0, at document #790000/4922894\n", + "2019-01-31 00:29:16,050 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:16,316 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.042*\"american\" + 0.026*\"valour\" + 0.021*\"dutch\" + 0.019*\"folei\" + 0.018*\"english\" + 0.017*\"player\" + 0.015*\"polit\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:29:16,318 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.010*\"aza\" + 0.010*\"king\" + 0.010*\"battalion\" + 0.009*\"centuri\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"embassi\"\n", + "2019-01-31 00:29:16,319 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.004*\"litig\" + 0.004*\"night\" + 0.004*\"vision\" + 0.003*\"york\" + 0.003*\"ladi\"\n", + "2019-01-31 00:29:16,320 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.031*\"woman\" + 0.030*\"champion\" + 0.026*\"olymp\" + 0.025*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.020*\"nation\" + 0.019*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:29:16,321 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.023*\"folei\" + 0.016*\"goal\" + 0.014*\"martin\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:29:16,327 : INFO : topic diff=0.007219, rho=0.050315\n", + "2019-01-31 00:29:16,478 : INFO : PROGRESS: pass 0, at document #792000/4922894\n", + "2019-01-31 00:29:17,856 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:18,123 : INFO : topic #36 (0.020): 0.015*\"companhia\" + 0.011*\"network\" + 0.010*\"pop\" + 0.009*\"prognosi\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.007*\"includ\" + 0.007*\"base\" + 0.007*\"user\" + 0.007*\"diggin\"\n", + "2019-01-31 00:29:18,124 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.015*\"olympo\" + 0.015*\"physician\" + 0.014*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:29:18,125 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.016*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:29:18,127 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.042*\"american\" + 0.026*\"valour\" + 0.021*\"dutch\" + 0.019*\"folei\" + 0.018*\"english\" + 0.017*\"player\" + 0.015*\"polit\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:29:18,128 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.034*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.012*\"presid\" + 0.012*\"storag\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:29:18,133 : INFO : topic diff=0.009157, rho=0.050252\n", + "2019-01-31 00:29:18,289 : INFO : PROGRESS: pass 0, at document #794000/4922894\n", + "2019-01-31 00:29:19,709 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:19,976 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.034*\"rural\" + 0.034*\"sovereignti\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.024*\"poison\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:29:19,977 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.013*\"faster\" + 0.012*\"life\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:29:19,978 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:29:19,979 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"pope\" + 0.013*\"scot\" + 0.012*\"coalit\" + 0.011*\"blur\" + 0.010*\"nativist\" + 0.010*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 00:29:19,980 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.041*\"tortur\" + 0.034*\"area\" + 0.028*\"cotton\" + 0.026*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.021*\"commun\"\n", + "2019-01-31 00:29:19,986 : INFO : topic diff=0.007998, rho=0.050189\n", + "2019-01-31 00:29:20,145 : INFO : PROGRESS: pass 0, at document #796000/4922894\n", + "2019-01-31 00:29:21,576 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:21,842 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.030*\"woman\" + 0.027*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.020*\"nation\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:29:21,843 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"septemb\" + 0.022*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n", + "2019-01-31 00:29:21,844 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.017*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:29:21,845 : INFO : topic #37 (0.020): 0.010*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.005*\"night\" + 0.004*\"litig\" + 0.004*\"vision\" + 0.003*\"york\" + 0.003*\"ladi\"\n", + "2019-01-31 00:29:21,846 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.041*\"tortur\" + 0.034*\"area\" + 0.028*\"cotton\" + 0.025*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.021*\"commun\"\n", + "2019-01-31 00:29:21,852 : INFO : topic diff=0.009112, rho=0.050125\n", + "2019-01-31 00:29:22,056 : INFO : PROGRESS: pass 0, at document #798000/4922894\n", + "2019-01-31 00:29:23,448 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:29:23,714 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.022*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n", + "2019-01-31 00:29:23,715 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.028*\"minist\" + 0.027*\"offic\" + 0.026*\"serv\" + 0.020*\"member\" + 0.018*\"gener\" + 0.017*\"seri\" + 0.017*\"govern\" + 0.017*\"nation\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:29:23,716 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.021*\"korea\" + 0.017*\"leah\" + 0.017*\"korean\" + 0.017*\"sourc\" + 0.014*\"wang\" + 0.014*\"kim\"\n", + "2019-01-31 00:29:23,717 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.025*\"collector\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.019*\"requir\" + 0.017*\"student\" + 0.016*\"professor\" + 0.011*\"governor\" + 0.011*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 00:29:23,719 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.030*\"champion\" + 0.029*\"woman\" + 0.027*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.021*\"nation\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:29:23,724 : INFO : topic diff=0.009841, rho=0.050063\n", + "2019-01-31 00:29:26,478 : INFO : -11.794 per-word bound, 3552.0 perplexity estimate based on a held-out corpus of 2000 documents with 569599 words\n", + "2019-01-31 00:29:26,479 : INFO : PROGRESS: pass 0, at document #800000/4922894\n", + "2019-01-31 00:29:27,903 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:28,170 : INFO : topic #30 (0.020): 0.038*\"leagu\" + 0.037*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.023*\"folei\" + 0.017*\"goal\" + 0.014*\"martin\" + 0.013*\"diversifi\"\n", + "2019-01-31 00:29:28,171 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.025*\"collector\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.019*\"requir\" + 0.017*\"student\" + 0.016*\"professor\" + 0.012*\"governor\" + 0.011*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 00:29:28,172 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.005*\"utopian\"\n", + "2019-01-31 00:29:28,173 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"group\" + 0.008*\"commun\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"student\" + 0.007*\"human\"\n", + "2019-01-31 00:29:28,174 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.028*\"final\" + 0.022*\"tourist\" + 0.022*\"wife\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.016*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:29:28,180 : INFO : topic diff=0.008847, rho=0.050000\n", + "2019-01-31 00:29:28,341 : INFO : PROGRESS: pass 0, at document #802000/4922894\n", + "2019-01-31 00:29:29,781 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:30,048 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 00:29:30,049 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.016*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:29:30,050 : INFO : topic #38 (0.020): 0.020*\"walter\" + 0.010*\"aza\" + 0.010*\"king\" + 0.009*\"battalion\" + 0.009*\"centuri\" + 0.008*\"empath\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"embassi\" + 0.007*\"armi\"\n", + "2019-01-31 00:29:30,051 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.018*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.008*\"cathedr\"\n", + "2019-01-31 00:29:30,052 : INFO : topic #34 (0.020): 0.077*\"start\" + 0.036*\"cotton\" + 0.032*\"unionist\" + 0.027*\"american\" + 0.024*\"new\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"year\" + 0.012*\"north\"\n", + "2019-01-31 00:29:30,058 : INFO : topic diff=0.008455, rho=0.049938\n", + "2019-01-31 00:29:30,215 : INFO : PROGRESS: pass 0, at document #804000/4922894\n", + "2019-01-31 00:29:31,651 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:31,917 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.016*\"hostil\" + 0.014*\"male\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.010*\"yawn\" + 0.009*\"genu\"\n", + "2019-01-31 00:29:31,918 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.023*\"tourist\" + 0.022*\"wife\" + 0.019*\"taxpay\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:29:31,919 : INFO : topic #30 (0.020): 0.038*\"leagu\" + 0.037*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.023*\"folei\" + 0.017*\"goal\" + 0.014*\"martin\" + 0.013*\"diversifi\"\n", + "2019-01-31 00:29:31,921 : INFO : topic #46 (0.020): 0.022*\"sweden\" + 0.019*\"norwai\" + 0.018*\"swedish\" + 0.016*\"stop\" + 0.015*\"damag\" + 0.015*\"norwegian\" + 0.014*\"turkish\" + 0.014*\"wind\" + 0.012*\"denmark\" + 0.011*\"danish\"\n", + "2019-01-31 00:29:31,922 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 00:29:31,928 : INFO : topic diff=0.007734, rho=0.049875\n", + "2019-01-31 00:29:32,086 : INFO : PROGRESS: pass 0, at document #806000/4922894\n", + "2019-01-31 00:29:33,477 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:33,743 : INFO : topic #16 (0.020): 0.041*\"king\" + 0.033*\"priest\" + 0.021*\"grammat\" + 0.020*\"quarterli\" + 0.020*\"duke\" + 0.017*\"rotterdam\" + 0.016*\"idiosyncrat\" + 0.014*\"maria\" + 0.013*\"order\" + 0.012*\"count\"\n", + "2019-01-31 00:29:33,745 : INFO : topic #45 (0.020): 0.017*\"fifteenth\" + 0.017*\"jpg\" + 0.016*\"black\" + 0.015*\"western\" + 0.015*\"illicit\" + 0.015*\"colder\" + 0.014*\"record\" + 0.009*\"blind\" + 0.007*\"green\" + 0.007*\"light\"\n", + "2019-01-31 00:29:33,746 : INFO : topic #34 (0.020): 0.077*\"start\" + 0.036*\"cotton\" + 0.032*\"unionist\" + 0.027*\"american\" + 0.024*\"new\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"year\" + 0.012*\"north\"\n", + "2019-01-31 00:29:33,747 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.029*\"woman\" + 0.027*\"olymp\" + 0.023*\"men\" + 0.023*\"medal\" + 0.020*\"nation\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.019*\"atheist\"\n", + "2019-01-31 00:29:33,749 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.019*\"aggress\" + 0.017*\"com\" + 0.016*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:29:33,754 : INFO : topic diff=0.009141, rho=0.049814\n", + "2019-01-31 00:29:33,910 : INFO : PROGRESS: pass 0, at document #808000/4922894\n", + "2019-01-31 00:29:35,334 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:35,599 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.019*\"act\" + 0.015*\"ricardo\" + 0.014*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.008*\"replac\"\n", + "2019-01-31 00:29:35,600 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.080*\"octob\" + 0.078*\"sens\" + 0.076*\"januari\" + 0.072*\"notion\" + 0.072*\"juli\" + 0.071*\"april\" + 0.071*\"decatur\" + 0.070*\"august\" + 0.069*\"judici\"\n", + "2019-01-31 00:29:35,602 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.022*\"tourist\" + 0.022*\"wife\" + 0.019*\"champion\" + 0.019*\"taxpay\" + 0.016*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"poet\"\n", + "2019-01-31 00:29:35,603 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.008*\"vacant\" + 0.008*\"sourc\"\n", + "2019-01-31 00:29:35,604 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.016*\"hostil\" + 0.015*\"male\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.010*\"yawn\" + 0.009*\"genu\"\n", + "2019-01-31 00:29:35,610 : INFO : topic diff=0.008247, rho=0.049752\n", + "2019-01-31 00:29:35,766 : INFO : PROGRESS: pass 0, at document #810000/4922894\n", + "2019-01-31 00:29:37,199 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:29:37,465 : INFO : topic #46 (0.020): 0.021*\"sweden\" + 0.019*\"norwai\" + 0.017*\"swedish\" + 0.017*\"turkish\" + 0.015*\"stop\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.013*\"wind\" + 0.012*\"denmark\" + 0.011*\"turkei\"\n", + "2019-01-31 00:29:37,466 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.029*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:29:37,467 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.024*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"linear\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:29:37,468 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"australian\" + 0.021*\"england\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.015*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 00:29:37,469 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.011*\"plaisir\" + 0.011*\"live\" + 0.009*\"yawn\" + 0.009*\"genu\"\n", + "2019-01-31 00:29:37,475 : INFO : topic diff=0.007096, rho=0.049690\n", + "2019-01-31 00:29:37,635 : INFO : PROGRESS: pass 0, at document #812000/4922894\n", + "2019-01-31 00:29:39,084 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:39,350 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.015*\"ricardo\" + 0.014*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.009*\"judaism\" + 0.008*\"replac\"\n", + "2019-01-31 00:29:39,351 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.013*\"class\" + 0.013*\"pope\" + 0.013*\"scot\" + 0.012*\"blur\" + 0.012*\"coalit\" + 0.011*\"nativist\" + 0.009*\"bahá\"\n", + "2019-01-31 00:29:39,353 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.034*\"sovereignti\" + 0.032*\"rural\" + 0.027*\"poison\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"czech\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:29:39,354 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.022*\"tourist\" + 0.021*\"wife\" + 0.019*\"taxpay\" + 0.019*\"champion\" + 0.017*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 00:29:39,355 : INFO : topic #40 (0.020): 0.091*\"unit\" + 0.025*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.019*\"requir\" + 0.017*\"student\" + 0.015*\"professor\" + 0.012*\"governor\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 00:29:39,361 : INFO : topic diff=0.009155, rho=0.049629\n", + "2019-01-31 00:29:39,517 : INFO : PROGRESS: pass 0, at document #814000/4922894\n", + "2019-01-31 00:29:40,923 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:41,189 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.066*\"best\" + 0.038*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 00:29:41,191 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.008*\"have\" + 0.008*\"pathwai\" + 0.008*\"disco\" + 0.007*\"caus\" + 0.006*\"hormon\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"activ\"\n", + "2019-01-31 00:29:41,192 : INFO : topic #20 (0.020): 0.135*\"scholar\" + 0.038*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.020*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"district\" + 0.009*\"class\"\n", + "2019-01-31 00:29:41,193 : INFO : topic #36 (0.020): 0.015*\"companhia\" + 0.011*\"pop\" + 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.007*\"diggin\" + 0.007*\"includ\" + 0.007*\"base\" + 0.007*\"brio\"\n", + "2019-01-31 00:29:41,194 : INFO : topic #39 (0.020): 0.040*\"canada\" + 0.035*\"canadian\" + 0.018*\"toronto\" + 0.017*\"hoar\" + 0.016*\"ontario\" + 0.014*\"taxpay\" + 0.013*\"new\" + 0.013*\"scientist\" + 0.012*\"basketbal\" + 0.011*\"hydrogen\"\n", + "2019-01-31 00:29:41,200 : INFO : topic diff=0.008637, rho=0.049568\n", + "2019-01-31 00:29:41,356 : INFO : PROGRESS: pass 0, at document #816000/4922894\n", + "2019-01-31 00:29:42,786 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:43,052 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.041*\"tortur\" + 0.033*\"area\" + 0.027*\"cotton\" + 0.025*\"regim\" + 0.024*\"multitud\" + 0.021*\"citi\" + 0.021*\"commun\"\n", + "2019-01-31 00:29:43,053 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"john\"\n", + "2019-01-31 00:29:43,055 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.015*\"ricardo\" + 0.014*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.009*\"judaism\" + 0.008*\"replac\"\n", + "2019-01-31 00:29:43,056 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.033*\"canadian\" + 0.018*\"toronto\" + 0.017*\"hoar\" + 0.015*\"ontario\" + 0.014*\"taxpay\" + 0.013*\"new\" + 0.013*\"scientist\" + 0.012*\"basketbal\" + 0.011*\"novotná\"\n", + "2019-01-31 00:29:43,057 : INFO : topic #29 (0.020): 0.010*\"companhia\" + 0.010*\"million\" + 0.009*\"govern\" + 0.009*\"start\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.007*\"function\" + 0.007*\"countri\" + 0.006*\"market\" + 0.006*\"inconclus\"\n", + "2019-01-31 00:29:43,063 : INFO : topic diff=0.008697, rho=0.049507\n", + "2019-01-31 00:29:43,219 : INFO : PROGRESS: pass 0, at document #818000/4922894\n", + "2019-01-31 00:29:44,654 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:44,921 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.020*\"aggress\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:29:44,922 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"call\"\n", + "2019-01-31 00:29:44,923 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.020*\"dutch\" + 0.019*\"folei\" + 0.018*\"english\" + 0.017*\"player\" + 0.016*\"polit\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:29:44,925 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"damn\" + 0.018*\"compos\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.014*\"physician\" + 0.013*\"jack\"\n", + "2019-01-31 00:29:44,926 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.017*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 00:29:44,932 : INFO : topic diff=0.009332, rho=0.049447\n", + "2019-01-31 00:29:47,647 : INFO : -11.485 per-word bound, 2866.5 perplexity estimate based on a held-out corpus of 2000 documents with 539358 words\n", + "2019-01-31 00:29:47,648 : INFO : PROGRESS: pass 0, at document #820000/4922894\n", + "2019-01-31 00:29:49,063 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:49,329 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.005*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"call\"\n", + "2019-01-31 00:29:49,330 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 00:29:49,331 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.033*\"raid\" + 0.030*\"museo\" + 0.021*\"traceabl\" + 0.018*\"serv\" + 0.016*\"pain\" + 0.015*\"exhaust\" + 0.014*\"artist\"\n", + "2019-01-31 00:29:49,332 : INFO : topic #16 (0.020): 0.040*\"king\" + 0.032*\"priest\" + 0.021*\"grammat\" + 0.019*\"duke\" + 0.019*\"quarterli\" + 0.016*\"rotterdam\" + 0.016*\"idiosyncrat\" + 0.014*\"maria\" + 0.013*\"order\" + 0.012*\"portugues\"\n", + "2019-01-31 00:29:49,333 : INFO : topic #23 (0.020): 0.131*\"audit\" + 0.066*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"festiv\" + 0.023*\"japanes\" + 0.022*\"intern\" + 0.022*\"noll\" + 0.019*\"women\" + 0.013*\"prison\"\n", + "2019-01-31 00:29:49,339 : INFO : topic diff=0.007250, rho=0.049386\n", + "2019-01-31 00:29:49,490 : INFO : PROGRESS: pass 0, at document #822000/4922894\n", + "2019-01-31 00:29:50,887 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:51,153 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.026*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.010*\"yawn\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:29:51,154 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.024*\"serv\" + 0.020*\"member\" + 0.019*\"gener\" + 0.018*\"seri\" + 0.018*\"nation\" + 0.017*\"govern\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:29:51,155 : INFO : topic #31 (0.020): 0.063*\"fusiform\" + 0.024*\"scientist\" + 0.023*\"player\" + 0.021*\"taxpay\" + 0.020*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.012*\"yard\" + 0.011*\"folei\" + 0.009*\"barber\"\n", + "2019-01-31 00:29:51,157 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.010*\"battalion\" + 0.010*\"king\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.008*\"centuri\" + 0.007*\"armi\" + 0.007*\"embassi\" + 0.007*\"teufel\"\n", + "2019-01-31 00:29:51,158 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.015*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:29:51,164 : INFO : topic diff=0.008012, rho=0.049326\n", + "2019-01-31 00:29:51,322 : INFO : PROGRESS: pass 0, at document #824000/4922894\n", + "2019-01-31 00:29:52,753 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:53,019 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:29:53,020 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.023*\"serv\" + 0.020*\"member\" + 0.018*\"gener\" + 0.018*\"seri\" + 0.018*\"nation\" + 0.017*\"govern\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:29:53,022 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.018*\"taxpay\" + 0.017*\"candid\" + 0.016*\"ret\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.011*\"landslid\" + 0.011*\"théori\"\n", + "2019-01-31 00:29:53,023 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.022*\"member\" + 0.018*\"polici\" + 0.015*\"liber\" + 0.014*\"report\" + 0.014*\"conserv\" + 0.014*\"republ\"\n", + "2019-01-31 00:29:53,024 : INFO : topic #34 (0.020): 0.076*\"start\" + 0.034*\"cotton\" + 0.032*\"unionist\" + 0.026*\"american\" + 0.024*\"new\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"year\" + 0.012*\"north\"\n", + "2019-01-31 00:29:53,030 : INFO : topic diff=0.008492, rho=0.049266\n", + "2019-01-31 00:29:53,189 : INFO : PROGRESS: pass 0, at document #826000/4922894\n", + "2019-01-31 00:29:54,622 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:54,888 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.013*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.012*\"coalit\" + 0.012*\"class\" + 0.011*\"nativist\" + 0.009*\"fleet\"\n", + "2019-01-31 00:29:54,889 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"rosenwald\" + 0.010*\"linear\"\n", + "2019-01-31 00:29:54,890 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.056*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.018*\"polici\" + 0.015*\"liber\" + 0.014*\"conserv\" + 0.014*\"report\" + 0.014*\"republ\"\n", + "2019-01-31 00:29:54,891 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.008*\"centuri\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"english\"\n", + "2019-01-31 00:29:54,892 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.015*\"ricardo\" + 0.014*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"judaism\" + 0.008*\"replac\"\n", + "2019-01-31 00:29:54,898 : INFO : topic diff=0.006894, rho=0.049207\n", + "2019-01-31 00:29:55,054 : INFO : PROGRESS: pass 0, at document #828000/4922894\n", + "2019-01-31 00:29:56,457 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:56,723 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:29:56,724 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.023*\"serv\" + 0.020*\"member\" + 0.018*\"gener\" + 0.018*\"seri\" + 0.018*\"nation\" + 0.017*\"govern\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:29:56,725 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.016*\"physician\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:29:56,726 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"student\" + 0.007*\"human\"\n", + "2019-01-31 00:29:56,727 : INFO : topic #20 (0.020): 0.135*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 00:29:56,733 : INFO : topic diff=0.010578, rho=0.049147\n", + "2019-01-31 00:29:56,886 : INFO : PROGRESS: pass 0, at document #830000/4922894\n", + "2019-01-31 00:29:58,289 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:29:58,556 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.028*\"offic\" + 0.027*\"minist\" + 0.023*\"serv\" + 0.020*\"member\" + 0.018*\"gener\" + 0.018*\"seri\" + 0.018*\"nation\" + 0.018*\"govern\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:29:58,557 : INFO : topic #46 (0.020): 0.020*\"sweden\" + 0.017*\"norwai\" + 0.017*\"swedish\" + 0.017*\"turkish\" + 0.017*\"stop\" + 0.015*\"damag\" + 0.014*\"norwegian\" + 0.012*\"wind\" + 0.012*\"turkei\" + 0.012*\"denmark\"\n", + "2019-01-31 00:29:58,558 : INFO : topic #26 (0.020): 0.031*\"woman\" + 0.030*\"champion\" + 0.029*\"workplac\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.021*\"event\" + 0.020*\"rainfal\" + 0.019*\"atheist\" + 0.019*\"nation\"\n", + "2019-01-31 00:29:58,559 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.009*\"produc\" + 0.008*\"candid\" + 0.008*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:29:58,560 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.021*\"mexico\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"mexican\"\n", + "2019-01-31 00:29:58,566 : INFO : topic diff=0.007455, rho=0.049088\n", + "2019-01-31 00:29:58,785 : INFO : PROGRESS: pass 0, at document #832000/4922894\n", + "2019-01-31 00:30:00,196 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:00,462 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.019*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"area\" + 0.014*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.008*\"sourc\" + 0.008*\"land\"\n", + "2019-01-31 00:30:00,464 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.008*\"have\" + 0.008*\"pathwai\" + 0.008*\"disco\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 00:30:00,465 : INFO : topic #42 (0.020): 0.042*\"german\" + 0.029*\"germani\" + 0.014*\"jewish\" + 0.014*\"vol\" + 0.013*\"der\" + 0.013*\"israel\" + 0.013*\"berlin\" + 0.010*\"itali\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 00:30:00,466 : INFO : topic #20 (0.020): 0.135*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"gothic\" + 0.009*\"class\"\n", + "2019-01-31 00:30:00,467 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.033*\"canadian\" + 0.017*\"toronto\" + 0.017*\"hoar\" + 0.015*\"ontario\" + 0.014*\"taxpay\" + 0.013*\"new\" + 0.013*\"scientist\" + 0.012*\"basketbal\" + 0.011*\"misericordia\"\n", + "2019-01-31 00:30:00,473 : INFO : topic diff=0.008851, rho=0.049029\n", + "2019-01-31 00:30:00,625 : INFO : PROGRESS: pass 0, at document #834000/4922894\n", + "2019-01-31 00:30:02,008 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:02,275 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:30:02,276 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.024*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.019*\"requir\" + 0.017*\"student\" + 0.015*\"professor\" + 0.012*\"governor\" + 0.012*\"word\" + 0.011*\"http\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:30:02,277 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"rhyme\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"paul\"\n", + "2019-01-31 00:30:02,278 : INFO : topic #45 (0.020): 0.018*\"fifteenth\" + 0.018*\"jpg\" + 0.015*\"black\" + 0.015*\"western\" + 0.014*\"colder\" + 0.014*\"illicit\" + 0.013*\"record\" + 0.009*\"blind\" + 0.008*\"green\" + 0.007*\"light\"\n", + "2019-01-31 00:30:02,280 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.011*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 00:30:02,285 : INFO : topic diff=0.007856, rho=0.048970\n", + "2019-01-31 00:30:02,443 : INFO : PROGRESS: pass 0, at document #836000/4922894\n", + "2019-01-31 00:30:03,873 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:04,140 : INFO : topic #29 (0.020): 0.010*\"companhia\" + 0.010*\"million\" + 0.009*\"govern\" + 0.009*\"yawn\" + 0.009*\"start\" + 0.008*\"bank\" + 0.007*\"function\" + 0.007*\"countri\" + 0.006*\"market\" + 0.006*\"industri\"\n", + "2019-01-31 00:30:04,141 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.018*\"stop\" + 0.017*\"norwai\" + 0.017*\"swedish\" + 0.015*\"turkish\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.013*\"treeless\" + 0.012*\"huntsvil\"\n", + "2019-01-31 00:30:04,142 : INFO : topic #26 (0.020): 0.031*\"woman\" + 0.029*\"champion\" + 0.028*\"workplac\" + 0.026*\"men\" + 0.026*\"olymp\" + 0.022*\"medal\" + 0.021*\"event\" + 0.020*\"rainfal\" + 0.020*\"atheist\" + 0.020*\"nation\"\n", + "2019-01-31 00:30:04,143 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.035*\"sovereignti\" + 0.032*\"rural\" + 0.027*\"reprint\" + 0.023*\"poison\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.018*\"turin\" + 0.015*\"poland\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:30:04,145 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"deal\"\n", + "2019-01-31 00:30:04,150 : INFO : topic diff=0.007664, rho=0.048912\n", + "2019-01-31 00:30:04,305 : INFO : PROGRESS: pass 0, at document #838000/4922894\n", + "2019-01-31 00:30:05,698 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:05,964 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.012*\"coalit\" + 0.011*\"nativist\" + 0.011*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:30:05,965 : INFO : topic #29 (0.020): 0.011*\"companhia\" + 0.010*\"million\" + 0.009*\"govern\" + 0.009*\"yawn\" + 0.009*\"start\" + 0.008*\"bank\" + 0.007*\"function\" + 0.007*\"countri\" + 0.006*\"market\" + 0.006*\"industri\"\n", + "2019-01-31 00:30:05,966 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.040*\"line\" + 0.037*\"raid\" + 0.036*\"arsen\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:30:05,967 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.023*\"adulthood\" + 0.017*\"feel\" + 0.015*\"hostil\" + 0.015*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:30:05,969 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.016*\"year\" + 0.015*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.008*\"hot\"\n", + "2019-01-31 00:30:05,974 : INFO : topic diff=0.008260, rho=0.048853\n", + "2019-01-31 00:30:08,653 : INFO : -11.748 per-word bound, 3439.5 perplexity estimate based on a held-out corpus of 2000 documents with 526338 words\n", + "2019-01-31 00:30:08,653 : INFO : PROGRESS: pass 0, at document #840000/4922894\n", + "2019-01-31 00:30:10,046 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:10,312 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:30:10,313 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:30:10,314 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 00:30:10,315 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:30:10,317 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.016*\"physician\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:30:10,322 : INFO : topic diff=0.008498, rho=0.048795\n", + "2019-01-31 00:30:10,477 : INFO : PROGRESS: pass 0, at document #842000/4922894\n", + "2019-01-31 00:30:11,889 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:12,155 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:30:12,156 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.016*\"physician\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"word\"\n", + "2019-01-31 00:30:12,157 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"man\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"deal\"\n", + "2019-01-31 00:30:12,158 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:30:12,159 : INFO : topic #16 (0.020): 0.040*\"king\" + 0.035*\"priest\" + 0.021*\"quarterli\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.014*\"maria\" + 0.013*\"princ\" + 0.012*\"brazil\"\n", + "2019-01-31 00:30:12,165 : INFO : topic diff=0.008895, rho=0.048737\n", + "2019-01-31 00:30:12,319 : INFO : PROGRESS: pass 0, at document #844000/4922894\n", + "2019-01-31 00:30:13,676 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:13,945 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.034*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"reprint\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.017*\"turin\" + 0.016*\"poland\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:30:13,946 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"student\" + 0.007*\"socialist\"\n", + "2019-01-31 00:30:13,947 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.017*\"seaport\" + 0.016*\"republ\" + 0.015*\"liber\" + 0.014*\"bypass\"\n", + "2019-01-31 00:30:13,948 : INFO : topic #16 (0.020): 0.040*\"king\" + 0.035*\"priest\" + 0.021*\"quarterli\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.014*\"maria\" + 0.013*\"princ\" + 0.012*\"brazil\"\n", + "2019-01-31 00:30:13,949 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.017*\"place\" + 0.017*\"damn\" + 0.016*\"physician\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"word\"\n", + "2019-01-31 00:30:13,955 : INFO : topic diff=0.008711, rho=0.048679\n", + "2019-01-31 00:30:14,109 : INFO : PROGRESS: pass 0, at document #846000/4922894\n", + "2019-01-31 00:30:15,509 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:15,775 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.020*\"mexico\" + 0.018*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"mexican\" + 0.011*\"carlo\" + 0.011*\"juan\"\n", + "2019-01-31 00:30:15,776 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:30:15,777 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.009*\"produc\" + 0.008*\"candid\" + 0.008*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:30:15,778 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.037*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:30:15,779 : INFO : topic #29 (0.020): 0.011*\"companhia\" + 0.010*\"million\" + 0.009*\"govern\" + 0.009*\"yawn\" + 0.009*\"start\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.006*\"market\" + 0.006*\"industri\"\n", + "2019-01-31 00:30:15,785 : INFO : topic diff=0.008453, rho=0.048622\n", + "2019-01-31 00:30:15,940 : INFO : PROGRESS: pass 0, at document #848000/4922894\n", + "2019-01-31 00:30:17,370 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:17,636 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"reprint\" + 0.026*\"personifi\" + 0.025*\"poison\" + 0.020*\"moscow\" + 0.016*\"turin\" + 0.015*\"poland\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:30:17,637 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.008*\"pathwai\" + 0.007*\"caus\" + 0.006*\"hormon\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:30:17,638 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:30:17,640 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.009*\"produc\" + 0.008*\"candid\" + 0.008*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:30:17,641 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.024*\"scientist\" + 0.023*\"player\" + 0.021*\"taxpay\" + 0.020*\"place\" + 0.012*\"clot\" + 0.012*\"leagu\" + 0.011*\"yard\" + 0.011*\"folei\" + 0.009*\"yawn\"\n", + "2019-01-31 00:30:17,647 : INFO : topic diff=0.007210, rho=0.048564\n", + "2019-01-31 00:30:17,803 : INFO : PROGRESS: pass 0, at document #850000/4922894\n", + "2019-01-31 00:30:19,205 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:19,472 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.031*\"area\" + 0.026*\"regim\" + 0.025*\"cotton\" + 0.025*\"multitud\" + 0.022*\"citi\" + 0.021*\"commun\"\n", + "2019-01-31 00:30:19,473 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.036*\"yawn\" + 0.027*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.022*\"festiv\" + 0.022*\"intern\" + 0.019*\"women\" + 0.015*\"prison\"\n", + "2019-01-31 00:30:19,474 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.004*\"night\" + 0.004*\"litig\" + 0.004*\"vision\" + 0.003*\"amphora\" + 0.003*\"black\"\n", + "2019-01-31 00:30:19,475 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"class\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.008*\"fleet\"\n", + "2019-01-31 00:30:19,476 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"rel\" + 0.028*\"son\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:30:19,482 : INFO : topic diff=0.013095, rho=0.048507\n", + "2019-01-31 00:30:19,630 : INFO : PROGRESS: pass 0, at document #852000/4922894\n", + "2019-01-31 00:30:21,009 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:21,276 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.014*\"ricardo\" + 0.014*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"replac\" + 0.008*\"princess\"\n", + "2019-01-31 00:30:21,277 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"student\" + 0.007*\"human\"\n", + "2019-01-31 00:30:21,278 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"australia\" + 0.024*\"australian\" + 0.024*\"new\" + 0.024*\"london\" + 0.020*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:30:21,279 : INFO : topic #45 (0.020): 0.020*\"jpg\" + 0.019*\"fifteenth\" + 0.015*\"black\" + 0.014*\"illicit\" + 0.014*\"western\" + 0.014*\"colder\" + 0.012*\"record\" + 0.009*\"blind\" + 0.008*\"green\" + 0.007*\"light\"\n", + "2019-01-31 00:30:21,280 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.039*\"line\" + 0.039*\"arsen\" + 0.036*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:30:21,286 : INFO : topic diff=0.008795, rho=0.048450\n", + "2019-01-31 00:30:21,445 : INFO : PROGRESS: pass 0, at document #854000/4922894\n", + "2019-01-31 00:30:22,849 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:23,116 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.024*\"london\" + 0.024*\"new\" + 0.024*\"australian\" + 0.020*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:30:23,117 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:30:23,118 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.025*\"reprint\" + 0.025*\"personifi\" + 0.022*\"moscow\" + 0.016*\"turin\" + 0.016*\"poland\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:30:23,119 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"televis\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.011*\"khalsa\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"start\" + 0.009*\"alam\"\n", + "2019-01-31 00:30:23,120 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.039*\"arsen\" + 0.039*\"line\" + 0.036*\"raid\" + 0.029*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.014*\"artist\"\n", + "2019-01-31 00:30:23,126 : INFO : topic diff=0.007686, rho=0.048393\n", + "2019-01-31 00:30:23,283 : INFO : PROGRESS: pass 0, at document #856000/4922894\n", + "2019-01-31 00:30:24,709 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:24,975 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.019*\"folei\" + 0.018*\"player\" + 0.017*\"english\" + 0.016*\"polit\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:30:24,976 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.046*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.017*\"sourc\" + 0.013*\"kim\" + 0.012*\"taiwan\"\n", + "2019-01-31 00:30:24,977 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"class\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"fleet\"\n", + "2019-01-31 00:30:24,978 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"collector\" + 0.022*\"schuster\" + 0.020*\"institut\" + 0.019*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"governor\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 00:30:24,979 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.048*\"franc\" + 0.033*\"pari\" + 0.026*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:30:24,985 : INFO : topic diff=0.007652, rho=0.048337\n", + "2019-01-31 00:30:25,140 : INFO : PROGRESS: pass 0, at document #858000/4922894\n", + "2019-01-31 00:30:26,534 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:26,800 : INFO : topic #46 (0.020): 0.020*\"sweden\" + 0.018*\"stop\" + 0.018*\"norwai\" + 0.018*\"swedish\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.014*\"turkish\" + 0.013*\"damag\" + 0.012*\"denmark\" + 0.012*\"huntsvil\"\n", + "2019-01-31 00:30:26,802 : INFO : topic #42 (0.020): 0.041*\"german\" + 0.029*\"germani\" + 0.013*\"israel\" + 0.013*\"jewish\" + 0.013*\"vol\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.010*\"austria\" + 0.009*\"itali\" + 0.008*\"european\"\n", + "2019-01-31 00:30:26,803 : INFO : topic #39 (0.020): 0.038*\"canada\" + 0.035*\"canadian\" + 0.019*\"toronto\" + 0.017*\"hoar\" + 0.015*\"ontario\" + 0.013*\"new\" + 0.013*\"taxpay\" + 0.013*\"scientist\" + 0.012*\"basketbal\" + 0.011*\"hydrogen\"\n", + "2019-01-31 00:30:26,804 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.008*\"mean\" + 0.008*\"centuri\" + 0.007*\"charact\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.007*\"god\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:30:26,805 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"class\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.008*\"fleet\"\n", + "2019-01-31 00:30:26,811 : INFO : topic diff=0.007951, rho=0.048280\n", + "2019-01-31 00:30:29,563 : INFO : -11.691 per-word bound, 3306.6 perplexity estimate based on a held-out corpus of 2000 documents with 552096 words\n", + "2019-01-31 00:30:29,563 : INFO : PROGRESS: pass 0, at document #860000/4922894\n", + "2019-01-31 00:30:31,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:31,411 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"battalion\" + 0.009*\"king\" + 0.009*\"aza\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.008*\"centuri\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"embassi\"\n", + "2019-01-31 00:30:31,412 : INFO : topic #36 (0.020): 0.013*\"companhia\" + 0.011*\"pop\" + 0.010*\"network\" + 0.010*\"prognosi\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.008*\"base\" + 0.008*\"includ\" + 0.007*\"brio\" + 0.007*\"diggin\"\n", + "2019-01-31 00:30:31,414 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.008*\"cultur\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:30:31,415 : INFO : topic #46 (0.020): 0.020*\"sweden\" + 0.018*\"stop\" + 0.018*\"norwai\" + 0.017*\"swedish\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.014*\"turkish\" + 0.013*\"damag\" + 0.012*\"denmark\" + 0.012*\"huntsvil\"\n", + "2019-01-31 00:30:31,416 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 00:30:31,422 : INFO : topic diff=0.007213, rho=0.048224\n", + "2019-01-31 00:30:31,633 : INFO : PROGRESS: pass 0, at document #862000/4922894\n", + "2019-01-31 00:30:33,042 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:33,309 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:30:33,310 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.030*\"workplac\" + 0.029*\"champion\" + 0.028*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.019*\"atheist\"\n", + "2019-01-31 00:30:33,312 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.014*\"ricardo\" + 0.014*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.009*\"replac\" + 0.008*\"judaism\"\n", + "2019-01-31 00:30:33,313 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.026*\"factor\" + 0.023*\"adulthood\" + 0.017*\"feel\" + 0.015*\"hostil\" + 0.015*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.011*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:30:33,314 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.030*\"offic\" + 0.025*\"minist\" + 0.021*\"serv\" + 0.019*\"member\" + 0.018*\"gener\" + 0.017*\"govern\" + 0.017*\"seri\" + 0.017*\"nation\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:30:33,320 : INFO : topic diff=0.008605, rho=0.048168\n", + "2019-01-31 00:30:33,477 : INFO : PROGRESS: pass 0, at document #864000/4922894\n", + "2019-01-31 00:30:34,844 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:35,114 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"pathwai\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:30:35,115 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:30:35,116 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.024*\"australian\" + 0.024*\"new\" + 0.024*\"london\" + 0.020*\"british\" + 0.020*\"england\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:30:35,117 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.032*\"new\" + 0.021*\"palmer\" + 0.016*\"year\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:30:35,118 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:30:35,124 : INFO : topic diff=0.008393, rho=0.048113\n", + "2019-01-31 00:30:35,281 : INFO : PROGRESS: pass 0, at document #866000/4922894\n", + "2019-01-31 00:30:36,699 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:36,965 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.025*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.013*\"diversifi\"\n", + "2019-01-31 00:30:36,966 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.009*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:30:36,968 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.018*\"taxpay\" + 0.017*\"candid\" + 0.013*\"fool\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.011*\"landslid\" + 0.011*\"théori\"\n", + "2019-01-31 00:30:36,969 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"word\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:30:36,970 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.031*\"new\" + 0.021*\"palmer\" + 0.016*\"year\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:30:36,976 : INFO : topic diff=0.008114, rho=0.048057\n", + "2019-01-31 00:30:37,130 : INFO : PROGRESS: pass 0, at document #868000/4922894\n", + "2019-01-31 00:30:38,542 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:38,808 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.009*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:30:38,809 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.036*\"canadian\" + 0.019*\"hoar\" + 0.018*\"toronto\" + 0.015*\"ontario\" + 0.013*\"new\" + 0.013*\"taxpay\" + 0.012*\"scientist\" + 0.012*\"hydrogen\" + 0.012*\"basketbal\"\n", + "2019-01-31 00:30:38,810 : INFO : topic #36 (0.020): 0.013*\"companhia\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.010*\"network\" + 0.010*\"develop\" + 0.008*\"serv\" + 0.008*\"base\" + 0.008*\"includ\" + 0.007*\"user\" + 0.007*\"brio\"\n", + "2019-01-31 00:30:38,812 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.014*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:30:38,813 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.068*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"festiv\" + 0.022*\"noll\" + 0.020*\"intern\" + 0.019*\"women\" + 0.014*\"prison\"\n", + "2019-01-31 00:30:38,819 : INFO : topic diff=0.007517, rho=0.048002\n", + "2019-01-31 00:30:38,978 : INFO : PROGRESS: pass 0, at document #870000/4922894\n", + "2019-01-31 00:30:40,407 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:40,673 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.046*\"chilton\" + 0.028*\"kong\" + 0.027*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.018*\"leah\" + 0.016*\"sourc\" + 0.013*\"kim\" + 0.011*\"taiwan\"\n", + "2019-01-31 00:30:40,674 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.009*\"battalion\" + 0.009*\"aza\" + 0.009*\"king\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.008*\"centuri\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.006*\"till\"\n", + "2019-01-31 00:30:40,675 : INFO : topic #31 (0.020): 0.063*\"fusiform\" + 0.025*\"scientist\" + 0.023*\"player\" + 0.021*\"taxpay\" + 0.020*\"place\" + 0.012*\"clot\" + 0.012*\"leagu\" + 0.011*\"yard\" + 0.010*\"folei\" + 0.010*\"ruler\"\n", + "2019-01-31 00:30:40,677 : INFO : topic #39 (0.020): 0.039*\"canada\" + 0.036*\"canadian\" + 0.020*\"hoar\" + 0.018*\"toronto\" + 0.014*\"ontario\" + 0.013*\"taxpay\" + 0.013*\"new\" + 0.012*\"hydrogen\" + 0.012*\"scientist\" + 0.012*\"basketbal\"\n", + "2019-01-31 00:30:40,678 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.014*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:30:40,684 : INFO : topic diff=0.008654, rho=0.047946\n", + "2019-01-31 00:30:40,843 : INFO : PROGRESS: pass 0, at document #872000/4922894\n", + "2019-01-31 00:30:42,276 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:42,546 : INFO : topic #18 (0.020): 0.009*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.007*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"man\" + 0.004*\"deal\" + 0.004*\"end\"\n", + "2019-01-31 00:30:42,547 : INFO : topic #26 (0.020): 0.030*\"alic\" + 0.029*\"workplac\" + 0.029*\"woman\" + 0.029*\"champion\" + 0.027*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.022*\"left\" + 0.020*\"event\" + 0.018*\"rainfal\"\n", + "2019-01-31 00:30:42,548 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.046*\"chilton\" + 0.027*\"kong\" + 0.026*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.018*\"leah\" + 0.016*\"sourc\" + 0.013*\"kim\" + 0.011*\"taiwan\"\n", + "2019-01-31 00:30:42,549 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.018*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:30:42,551 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.008*\"gestur\" + 0.008*\"man\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.004*\"night\" + 0.004*\"vision\" + 0.004*\"black\" + 0.003*\"admit\"\n", + "2019-01-31 00:30:42,557 : INFO : topic diff=0.008624, rho=0.047891\n", + "2019-01-31 00:30:42,714 : INFO : PROGRESS: pass 0, at document #874000/4922894\n", + "2019-01-31 00:30:44,116 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:44,383 : INFO : topic #29 (0.020): 0.012*\"companhia\" + 0.010*\"million\" + 0.009*\"yawn\" + 0.008*\"govern\" + 0.008*\"start\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.007*\"market\" + 0.006*\"busi\"\n", + "2019-01-31 00:30:44,384 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.014*\"vol\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.012*\"berlin\" + 0.010*\"austria\" + 0.009*\"itali\" + 0.008*\"europ\"\n", + "2019-01-31 00:30:44,386 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.028*\"final\" + 0.024*\"tourist\" + 0.020*\"wife\" + 0.020*\"champion\" + 0.018*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:30:44,387 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:30:44,388 : INFO : topic #11 (0.020): 0.029*\"john\" + 0.016*\"will\" + 0.014*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.009*\"mexican–american\" + 0.009*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:30:44,394 : INFO : topic diff=0.008442, rho=0.047836\n", + "2019-01-31 00:30:44,547 : INFO : PROGRESS: pass 0, at document #876000/4922894\n", + "2019-01-31 00:30:45,948 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:46,214 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.057*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"seaport\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 00:30:46,216 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.018*\"lagrang\" + 0.016*\"area\" + 0.014*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"land\" + 0.008*\"foam\" + 0.008*\"vacant\"\n", + "2019-01-31 00:30:46,217 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"collector\" + 0.022*\"schuster\" + 0.021*\"institut\" + 0.019*\"requir\" + 0.018*\"student\" + 0.017*\"professor\" + 0.012*\"governor\" + 0.012*\"word\" + 0.011*\"http\"\n", + "2019-01-31 00:30:46,219 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.050*\"franc\" + 0.032*\"pari\" + 0.027*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:30:46,220 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.025*\"minist\" + 0.020*\"member\" + 0.019*\"serv\" + 0.018*\"gener\" + 0.018*\"govern\" + 0.017*\"seri\" + 0.017*\"nation\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:30:46,226 : INFO : topic diff=0.008555, rho=0.047782\n", + "2019-01-31 00:30:46,390 : INFO : PROGRESS: pass 0, at document #878000/4922894\n", + "2019-01-31 00:30:47,802 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:48,068 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.014*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:30:48,069 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.028*\"alic\" + 0.028*\"woman\" + 0.027*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.021*\"left\" + 0.020*\"event\" + 0.018*\"atheist\"\n", + "2019-01-31 00:30:48,071 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.047*\"american\" + 0.025*\"valour\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.016*\"polit\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:30:48,072 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"poet\" + 0.006*\"differ\"\n", + "2019-01-31 00:30:48,074 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.015*\"year\" + 0.015*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:30:48,079 : INFO : topic diff=0.007568, rho=0.047727\n", + "2019-01-31 00:30:50,743 : INFO : -11.666 per-word bound, 3249.4 perplexity estimate based on a held-out corpus of 2000 documents with 523385 words\n", + "2019-01-31 00:30:50,743 : INFO : PROGRESS: pass 0, at document #880000/4922894\n", + "2019-01-31 00:30:52,132 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:52,398 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.011*\"khalsa\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"start\" + 0.010*\"affection\"\n", + "2019-01-31 00:30:52,399 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.030*\"area\" + 0.026*\"regim\" + 0.025*\"cotton\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:30:52,400 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.009*\"depress\"\n", + "2019-01-31 00:30:52,401 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.029*\"germani\" + 0.014*\"vol\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.012*\"berlin\" + 0.012*\"israel\" + 0.010*\"austria\" + 0.009*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:30:52,403 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.015*\"year\" + 0.015*\"center\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:30:52,409 : INFO : topic diff=0.007326, rho=0.047673\n", + "2019-01-31 00:30:52,565 : INFO : PROGRESS: pass 0, at document #882000/4922894\n", + "2019-01-31 00:30:53,987 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:54,254 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.018*\"candid\" + 0.018*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"find\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.011*\"landslid\" + 0.011*\"théori\" + 0.010*\"ret\"\n", + "2019-01-31 00:30:54,255 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.014*\"hostil\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:30:54,257 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"produc\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:30:54,258 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.029*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.012*\"israel\" + 0.010*\"austria\" + 0.009*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:30:54,259 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.008*\"centuri\" + 0.007*\"trade\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.007*\"god\"\n", + "2019-01-31 00:30:54,265 : INFO : topic diff=0.008168, rho=0.047619\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:30:54,425 : INFO : PROGRESS: pass 0, at document #884000/4922894\n", + "2019-01-31 00:30:55,869 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:56,136 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"arsen\" + 0.039*\"line\" + 0.033*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.017*\"pain\" + 0.015*\"artist\" + 0.015*\"exhaust\"\n", + "2019-01-31 00:30:56,137 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.024*\"minist\" + 0.020*\"member\" + 0.019*\"serv\" + 0.018*\"govern\" + 0.018*\"gener\" + 0.018*\"seri\" + 0.017*\"nation\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:30:56,138 : INFO : topic #17 (0.020): 0.070*\"church\" + 0.021*\"christian\" + 0.021*\"cathol\" + 0.019*\"bishop\" + 0.017*\"sail\" + 0.015*\"cathedr\" + 0.014*\"retroflex\" + 0.010*\"centuri\" + 0.009*\"italian\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:30:56,139 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.013*\"storag\" + 0.013*\"nicola\" + 0.012*\"magazin\" + 0.012*\"worldwid\"\n", + "2019-01-31 00:30:56,140 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.036*\"sovereignti\" + 0.036*\"rural\" + 0.025*\"poison\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:30:56,146 : INFO : topic diff=0.007349, rho=0.047565\n", + "2019-01-31 00:30:56,306 : INFO : PROGRESS: pass 0, at document #886000/4922894\n", + "2019-01-31 00:30:57,852 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:30:58,118 : INFO : topic #16 (0.020): 0.041*\"king\" + 0.030*\"priest\" + 0.021*\"grammat\" + 0.021*\"quarterli\" + 0.018*\"duke\" + 0.016*\"rotterdam\" + 0.015*\"maria\" + 0.015*\"idiosyncrat\" + 0.014*\"order\" + 0.014*\"brazil\"\n", + "2019-01-31 00:30:58,119 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:30:58,120 : INFO : topic #17 (0.020): 0.070*\"church\" + 0.021*\"christian\" + 0.021*\"cathol\" + 0.019*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.014*\"cathedr\" + 0.010*\"centuri\" + 0.010*\"italian\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:30:58,121 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.057*\"parti\" + 0.027*\"democrat\" + 0.024*\"voluntari\" + 0.020*\"member\" + 0.018*\"polici\" + 0.017*\"republ\" + 0.015*\"seaport\" + 0.014*\"liber\" + 0.014*\"report\"\n", + "2019-01-31 00:30:58,123 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.014*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.009*\"mexican–american\" + 0.009*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:30:58,129 : INFO : topic diff=0.009032, rho=0.047511\n", + "2019-01-31 00:30:58,283 : INFO : PROGRESS: pass 0, at document #888000/4922894\n", + "2019-01-31 00:30:59,906 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:00,173 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.024*\"epiru\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.014*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:31:00,174 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.048*\"american\" + 0.025*\"valour\" + 0.019*\"dutch\" + 0.019*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:31:00,176 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.016*\"year\" + 0.016*\"strategist\" + 0.015*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:31:00,177 : INFO : topic #16 (0.020): 0.041*\"king\" + 0.030*\"priest\" + 0.022*\"quarterli\" + 0.021*\"grammat\" + 0.018*\"duke\" + 0.016*\"rotterdam\" + 0.015*\"maria\" + 0.014*\"idiosyncrat\" + 0.014*\"order\" + 0.013*\"brazil\"\n", + "2019-01-31 00:31:00,178 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.032*\"cotton\" + 0.029*\"unionist\" + 0.027*\"american\" + 0.025*\"new\" + 0.014*\"california\" + 0.014*\"terri\" + 0.013*\"year\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:31:00,184 : INFO : topic diff=0.008016, rho=0.047458\n", + "2019-01-31 00:31:00,337 : INFO : PROGRESS: pass 0, at document #890000/4922894\n", + "2019-01-31 00:31:01,721 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:01,988 : INFO : topic #31 (0.020): 0.060*\"fusiform\" + 0.025*\"scientist\" + 0.023*\"player\" + 0.021*\"taxpay\" + 0.020*\"place\" + 0.013*\"clot\" + 0.011*\"leagu\" + 0.011*\"folei\" + 0.010*\"yard\" + 0.009*\"yawn\"\n", + "2019-01-31 00:31:01,989 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.026*\"new\" + 0.026*\"london\" + 0.024*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:31:01,990 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.013*\"nicola\" + 0.013*\"storag\" + 0.012*\"worldwid\" + 0.012*\"magazin\"\n", + "2019-01-31 00:31:01,991 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.015*\"physician\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"word\"\n", + "2019-01-31 00:31:01,992 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.014*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:31:01,999 : INFO : topic diff=0.008166, rho=0.047405\n", + "2019-01-31 00:31:02,160 : INFO : PROGRESS: pass 0, at document #892000/4922894\n", + "2019-01-31 00:31:03,567 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:03,837 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.009*\"depress\"\n", + "2019-01-31 00:31:03,838 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.057*\"parti\" + 0.026*\"democrat\" + 0.024*\"voluntari\" + 0.020*\"member\" + 0.018*\"polici\" + 0.017*\"republ\" + 0.014*\"report\" + 0.014*\"liber\" + 0.014*\"seaport\"\n", + "2019-01-31 00:31:03,839 : INFO : topic #44 (0.020): 0.029*\"final\" + 0.029*\"rooftop\" + 0.022*\"tourist\" + 0.022*\"wife\" + 0.020*\"champion\" + 0.018*\"taxpay\" + 0.016*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:31:03,840 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.014*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:31:03,841 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.041*\"tortur\" + 0.030*\"area\" + 0.026*\"regim\" + 0.025*\"cotton\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:31:03,847 : INFO : topic diff=0.009180, rho=0.047351\n", + "2019-01-31 00:31:04,004 : INFO : PROGRESS: pass 0, at document #894000/4922894\n", + "2019-01-31 00:31:05,426 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:05,693 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.020*\"institut\" + 0.019*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:31:05,694 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.028*\"alic\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.023*\"medal\" + 0.023*\"left\" + 0.020*\"event\" + 0.018*\"atheist\"\n", + "2019-01-31 00:31:05,695 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.009*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:31:05,696 : INFO : topic #36 (0.020): 0.012*\"companhia\" + 0.011*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.009*\"develop\" + 0.008*\"brio\" + 0.008*\"serv\" + 0.008*\"base\" + 0.008*\"includ\" + 0.008*\"softwar\"\n", + "2019-01-31 00:31:05,697 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.041*\"arsen\" + 0.038*\"line\" + 0.033*\"raid\" + 0.030*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.016*\"pain\" + 0.014*\"exhaust\" + 0.014*\"artist\"\n", + "2019-01-31 00:31:05,703 : INFO : topic diff=0.008095, rho=0.047298\n", + "2019-01-31 00:31:05,914 : INFO : PROGRESS: pass 0, at document #896000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:31:07,318 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:07,585 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.021*\"di\" + 0.017*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:31:07,586 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"new\" + 0.026*\"australia\" + 0.026*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:31:07,587 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"hormon\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:31:07,588 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:31:07,589 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.022*\"collector\" + 0.022*\"schuster\" + 0.020*\"institut\" + 0.019*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:31:07,595 : INFO : topic diff=0.008053, rho=0.047246\n", + "2019-01-31 00:31:07,754 : INFO : PROGRESS: pass 0, at document #898000/4922894\n", + "2019-01-31 00:31:09,168 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:09,434 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"nicola\" + 0.013*\"storag\" + 0.012*\"worldwid\" + 0.011*\"collect\"\n", + "2019-01-31 00:31:09,435 : INFO : topic #45 (0.020): 0.019*\"jpg\" + 0.019*\"fifteenth\" + 0.015*\"black\" + 0.014*\"western\" + 0.014*\"colder\" + 0.013*\"illicit\" + 0.013*\"record\" + 0.009*\"blind\" + 0.008*\"green\" + 0.007*\"light\"\n", + "2019-01-31 00:31:09,437 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:31:09,438 : INFO : topic #17 (0.020): 0.071*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.012*\"cathedr\" + 0.010*\"italian\" + 0.010*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:31:09,439 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:31:09,445 : INFO : topic diff=0.008844, rho=0.047193\n", + "2019-01-31 00:31:12,255 : INFO : -11.820 per-word bound, 3614.7 perplexity estimate based on a held-out corpus of 2000 documents with 591241 words\n", + "2019-01-31 00:31:12,255 : INFO : PROGRESS: pass 0, at document #900000/4922894\n", + "2019-01-31 00:31:13,705 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:13,971 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.028*\"germani\" + 0.014*\"vol\" + 0.014*\"austria\" + 0.013*\"jewish\" + 0.013*\"israel\" + 0.012*\"berlin\" + 0.012*\"der\" + 0.009*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:31:13,972 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"class\" + 0.010*\"nativist\" + 0.009*\"vernon\"\n", + "2019-01-31 00:31:13,974 : INFO : topic #29 (0.020): 0.014*\"companhia\" + 0.010*\"million\" + 0.009*\"yawn\" + 0.008*\"govern\" + 0.008*\"start\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.007*\"busi\" + 0.007*\"market\"\n", + "2019-01-31 00:31:13,975 : INFO : topic #17 (0.020): 0.071*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.019*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.012*\"cathedr\" + 0.010*\"italian\" + 0.010*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:31:13,976 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.048*\"american\" + 0.026*\"valour\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:31:13,982 : INFO : topic diff=0.008991, rho=0.047140\n", + "2019-01-31 00:31:14,141 : INFO : PROGRESS: pass 0, at document #902000/4922894\n", + "2019-01-31 00:31:15,567 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:15,834 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"servitud\"\n", + "2019-01-31 00:31:15,835 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.011*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:31:15,836 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.010*\"battalion\" + 0.009*\"aza\" + 0.009*\"king\" + 0.008*\"forc\" + 0.008*\"centuri\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"till\"\n", + "2019-01-31 00:31:15,837 : INFO : topic #37 (0.020): 0.011*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.005*\"spider\" + 0.004*\"night\" + 0.004*\"vision\" + 0.004*\"black\"\n", + "2019-01-31 00:31:15,838 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.028*\"final\" + 0.024*\"tourist\" + 0.022*\"wife\" + 0.020*\"champion\" + 0.018*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 00:31:15,844 : INFO : topic diff=0.008169, rho=0.047088\n", + "2019-01-31 00:31:16,001 : INFO : PROGRESS: pass 0, at document #904000/4922894\n", + "2019-01-31 00:31:17,409 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:17,675 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:31:17,677 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:31:17,678 : INFO : topic #37 (0.020): 0.011*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.004*\"night\" + 0.004*\"spider\" + 0.004*\"vision\" + 0.004*\"black\"\n", + "2019-01-31 00:31:17,679 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.011*\"worldwid\" + 0.011*\"collect\"\n", + "2019-01-31 00:31:17,680 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.028*\"germani\" + 0.014*\"vol\" + 0.013*\"austria\" + 0.012*\"berlin\" + 0.012*\"jewish\" + 0.012*\"israel\" + 0.012*\"der\" + 0.010*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:31:17,686 : INFO : topic diff=0.007569, rho=0.047036\n", + "2019-01-31 00:31:17,840 : INFO : PROGRESS: pass 0, at document #906000/4922894\n", + "2019-01-31 00:31:19,228 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:19,494 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:31:19,495 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:31:19,496 : INFO : topic #17 (0.020): 0.070*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.012*\"cathedr\" + 0.010*\"italian\" + 0.010*\"centuri\" + 0.009*\"relationship\"\n", + "2019-01-31 00:31:19,497 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"lizard\" + 0.010*\"juan\" + 0.010*\"francisco\"\n", + "2019-01-31 00:31:19,499 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.016*\"year\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:31:19,504 : INFO : topic diff=0.006656, rho=0.046984\n", + "2019-01-31 00:31:19,661 : INFO : PROGRESS: pass 0, at document #908000/4922894\n", + "2019-01-31 00:31:21,067 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:31:21,333 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.008*\"gothic\"\n", + "2019-01-31 00:31:21,334 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.028*\"offic\" + 0.025*\"minist\" + 0.020*\"member\" + 0.020*\"serv\" + 0.018*\"gener\" + 0.018*\"govern\" + 0.017*\"nation\" + 0.017*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:31:21,335 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.040*\"line\" + 0.038*\"arsen\" + 0.034*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:31:21,336 : INFO : topic #45 (0.020): 0.019*\"jpg\" + 0.018*\"fifteenth\" + 0.015*\"black\" + 0.015*\"colder\" + 0.014*\"western\" + 0.013*\"illicit\" + 0.012*\"record\" + 0.009*\"blind\" + 0.009*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:31:21,337 : INFO : topic #17 (0.020): 0.071*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.012*\"cathedr\" + 0.010*\"italian\" + 0.010*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:31:21,343 : INFO : topic diff=0.006732, rho=0.046932\n", + "2019-01-31 00:31:21,502 : INFO : PROGRESS: pass 0, at document #910000/4922894\n", + "2019-01-31 00:31:22,922 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:23,189 : INFO : topic #45 (0.020): 0.019*\"jpg\" + 0.018*\"fifteenth\" + 0.015*\"black\" + 0.015*\"colder\" + 0.014*\"western\" + 0.014*\"illicit\" + 0.012*\"record\" + 0.009*\"light\" + 0.009*\"blind\" + 0.007*\"green\"\n", + "2019-01-31 00:31:23,190 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"cotton\" + 0.030*\"unionist\" + 0.028*\"american\" + 0.024*\"new\" + 0.014*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.013*\"year\" + 0.012*\"north\"\n", + "2019-01-31 00:31:23,191 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.017*\"feel\" + 0.015*\"hostil\" + 0.015*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:31:23,192 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.046*\"american\" + 0.028*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.017*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"wedg\"\n", + "2019-01-31 00:31:23,193 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.012*\"cathedr\" + 0.010*\"italian\" + 0.010*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:31:23,199 : INFO : topic diff=0.009476, rho=0.046881\n", + "2019-01-31 00:31:23,354 : INFO : PROGRESS: pass 0, at document #912000/4922894\n", + "2019-01-31 00:31:24,758 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:25,024 : INFO : topic #29 (0.020): 0.014*\"companhia\" + 0.010*\"million\" + 0.009*\"yawn\" + 0.008*\"govern\" + 0.008*\"start\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.007*\"market\" + 0.007*\"busi\"\n", + "2019-01-31 00:31:25,025 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.028*\"final\" + 0.023*\"tourist\" + 0.022*\"wife\" + 0.021*\"champion\" + 0.019*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"women\"\n", + "2019-01-31 00:31:25,026 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.073*\"best\" + 0.040*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"festiv\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.019*\"intern\" + 0.019*\"women\" + 0.015*\"prison\"\n", + "2019-01-31 00:31:25,027 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.017*\"feel\" + 0.015*\"hostil\" + 0.015*\"male\" + 0.012*\"plaisir\" + 0.011*\"live\" + 0.010*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:31:25,029 : INFO : topic #38 (0.020): 0.021*\"walter\" + 0.010*\"battalion\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"king\" + 0.008*\"centuri\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"till\"\n", + "2019-01-31 00:31:25,035 : INFO : topic diff=0.006759, rho=0.046829\n", + "2019-01-31 00:31:25,192 : INFO : PROGRESS: pass 0, at document #914000/4922894\n", + "2019-01-31 00:31:26,604 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:26,871 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.004*\"vision\" + 0.004*\"bewild\" + 0.004*\"night\" + 0.004*\"spider\" + 0.004*\"black\"\n", + "2019-01-31 00:31:26,872 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.045*\"american\" + 0.028*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.017*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"wedg\"\n", + "2019-01-31 00:31:26,873 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.028*\"offic\" + 0.024*\"minist\" + 0.020*\"member\" + 0.020*\"serv\" + 0.018*\"govern\" + 0.018*\"gener\" + 0.017*\"seri\" + 0.017*\"nation\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:31:26,874 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"candid\" + 0.017*\"taxpay\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"landslid\" + 0.011*\"théori\"\n", + "2019-01-31 00:31:26,875 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:31:26,881 : INFO : topic diff=0.008904, rho=0.046778\n", + "2019-01-31 00:31:27,040 : INFO : PROGRESS: pass 0, at document #916000/4922894\n", + "2019-01-31 00:31:28,457 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:28,723 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.022*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.013*\"word\"\n", + "2019-01-31 00:31:28,724 : INFO : topic #36 (0.020): 0.011*\"companhia\" + 0.011*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.008*\"brio\" + 0.008*\"user\" + 0.007*\"base\" + 0.007*\"includ\"\n", + "2019-01-31 00:31:28,726 : INFO : topic #5 (0.020): 0.041*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:31:28,727 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.050*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.024*\"korea\" + 0.022*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.013*\"min\"\n", + "2019-01-31 00:31:28,728 : INFO : topic #39 (0.020): 0.041*\"canada\" + 0.034*\"canadian\" + 0.019*\"hoar\" + 0.018*\"toronto\" + 0.016*\"ontario\" + 0.013*\"taxpay\" + 0.013*\"scientist\" + 0.012*\"new\" + 0.012*\"hydrogen\" + 0.011*\"basketbal\"\n", + "2019-01-31 00:31:28,733 : INFO : topic diff=0.007084, rho=0.046727\n", + "2019-01-31 00:31:28,887 : INFO : PROGRESS: pass 0, at document #918000/4922894\n", + "2019-01-31 00:31:30,267 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:30,534 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.004*\"like\" + 0.004*\"man\" + 0.004*\"end\" + 0.004*\"help\"\n", + "2019-01-31 00:31:30,535 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.012*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"khalsa\" + 0.010*\"start\" + 0.010*\"sri\"\n", + "2019-01-31 00:31:30,536 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:31:30,537 : INFO : topic #32 (0.020): 0.061*\"district\" + 0.045*\"vigour\" + 0.044*\"tortur\" + 0.043*\"popolo\" + 0.029*\"area\" + 0.025*\"regim\" + 0.025*\"cotton\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:31:30,538 : INFO : topic #29 (0.020): 0.014*\"companhia\" + 0.010*\"million\" + 0.009*\"yawn\" + 0.008*\"govern\" + 0.008*\"start\" + 0.008*\"bank\" + 0.007*\"countri\" + 0.007*\"function\" + 0.007*\"market\" + 0.007*\"busi\"\n", + "2019-01-31 00:31:30,544 : INFO : topic diff=0.007579, rho=0.046676\n", + "2019-01-31 00:31:33,355 : INFO : -11.682 per-word bound, 3285.1 perplexity estimate based on a held-out corpus of 2000 documents with 607112 words\n", + "2019-01-31 00:31:33,356 : INFO : PROGRESS: pass 0, at document #920000/4922894\n", + "2019-01-31 00:31:34,795 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:35,062 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"cotton\" + 0.029*\"unionist\" + 0.028*\"american\" + 0.024*\"new\" + 0.014*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.013*\"year\" + 0.012*\"north\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:31:35,063 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:31:35,065 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.061*\"parti\" + 0.024*\"democrat\" + 0.024*\"voluntari\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"liber\" + 0.013*\"seaport\"\n", + "2019-01-31 00:31:35,066 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"acid\"\n", + "2019-01-31 00:31:35,067 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:31:35,073 : INFO : topic diff=0.008514, rho=0.046625\n", + "2019-01-31 00:31:35,228 : INFO : PROGRESS: pass 0, at document #922000/4922894\n", + "2019-01-31 00:31:36,630 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:36,897 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.011*\"cathedr\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"italian\"\n", + "2019-01-31 00:31:36,898 : INFO : topic #5 (0.020): 0.041*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:31:36,899 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 00:31:36,900 : INFO : topic #26 (0.020): 0.031*\"alic\" + 0.030*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.022*\"left\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"rainfal\"\n", + "2019-01-31 00:31:36,901 : INFO : topic #39 (0.020): 0.041*\"canada\" + 0.034*\"canadian\" + 0.019*\"hoar\" + 0.017*\"toronto\" + 0.016*\"ontario\" + 0.013*\"taxpay\" + 0.013*\"scientist\" + 0.012*\"new\" + 0.011*\"hydrogen\" + 0.011*\"basketbal\"\n", + "2019-01-31 00:31:36,907 : INFO : topic diff=0.006184, rho=0.046575\n", + "2019-01-31 00:31:37,062 : INFO : PROGRESS: pass 0, at document #924000/4922894\n", + "2019-01-31 00:31:38,458 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:38,725 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.020*\"candid\" + 0.016*\"taxpay\" + 0.013*\"ret\" + 0.013*\"driver\" + 0.012*\"find\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.011*\"landslid\" + 0.011*\"théori\"\n", + "2019-01-31 00:31:38,726 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"trade\"\n", + "2019-01-31 00:31:38,727 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.025*\"player\" + 0.025*\"scientist\" + 0.022*\"taxpay\" + 0.020*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.010*\"folei\" + 0.009*\"ruler\" + 0.009*\"yawn\"\n", + "2019-01-31 00:31:38,728 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:31:38,729 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"new\" + 0.025*\"australia\" + 0.025*\"london\" + 0.022*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:31:38,735 : INFO : topic diff=0.008220, rho=0.046524\n", + "2019-01-31 00:31:38,949 : INFO : PROGRESS: pass 0, at document #926000/4922894\n", + "2019-01-31 00:31:40,358 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:40,623 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.038*\"arsen\" + 0.036*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.013*\"artist\" + 0.013*\"exhaust\"\n", + "2019-01-31 00:31:40,625 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.016*\"parish\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.011*\"cathedr\" + 0.010*\"centuri\" + 0.010*\"historiographi\"\n", + "2019-01-31 00:31:40,626 : INFO : topic #5 (0.020): 0.041*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:31:40,627 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"player\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.011*\"wedg\"\n", + "2019-01-31 00:31:40,628 : INFO : topic #8 (0.020): 0.030*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.016*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.010*\"legal\" + 0.008*\"replac\" + 0.008*\"justic\"\n", + "2019-01-31 00:31:40,634 : INFO : topic diff=0.008511, rho=0.046474\n", + "2019-01-31 00:31:40,786 : INFO : PROGRESS: pass 0, at document #928000/4922894\n", + "2019-01-31 00:31:42,152 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:42,418 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.014*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:31:42,419 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.027*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:31:42,420 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.016*\"strategist\" + 0.015*\"year\" + 0.014*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.008*\"highli\"\n", + "2019-01-31 00:31:42,421 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:31:42,422 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.021*\"mexico\" + 0.019*\"del\" + 0.012*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"francisco\" + 0.011*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 00:31:42,428 : INFO : topic diff=0.007606, rho=0.046424\n", + "2019-01-31 00:31:42,585 : INFO : PROGRESS: pass 0, at document #930000/4922894\n", + "2019-01-31 00:31:44,009 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:44,275 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.010*\"companhia\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"user\" + 0.008*\"brio\" + 0.008*\"softwar\" + 0.008*\"base\"\n", + "2019-01-31 00:31:44,277 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"man\"\n", + "2019-01-31 00:31:44,278 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:31:44,279 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.038*\"arsen\" + 0.035*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.013*\"artist\" + 0.013*\"exhaust\"\n", + "2019-01-31 00:31:44,280 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"governor\" + 0.012*\"word\" + 0.012*\"http\"\n", + "2019-01-31 00:31:44,286 : INFO : topic diff=0.008304, rho=0.046374\n", + "2019-01-31 00:31:44,441 : INFO : PROGRESS: pass 0, at document #932000/4922894\n", + "2019-01-31 00:31:45,855 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:46,122 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:31:46,123 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.028*\"offic\" + 0.024*\"minist\" + 0.020*\"member\" + 0.020*\"serv\" + 0.018*\"govern\" + 0.018*\"gener\" + 0.017*\"seri\" + 0.017*\"nation\" + 0.015*\"chickasaw\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:31:46,124 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.048*\"chilton\" + 0.026*\"kong\" + 0.026*\"hong\" + 0.024*\"korean\" + 0.024*\"korea\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.013*\"kim\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:31:46,125 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.004*\"bewild\" + 0.004*\"vision\" + 0.004*\"night\" + 0.003*\"black\" + 0.003*\"admit\"\n", + "2019-01-31 00:31:46,126 : INFO : topic #17 (0.020): 0.073*\"church\" + 0.021*\"cathol\" + 0.020*\"christian\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.015*\"parish\" + 0.015*\"retroflex\" + 0.011*\"cathedr\" + 0.010*\"historiographi\" + 0.010*\"centuri\"\n", + "2019-01-31 00:31:46,132 : INFO : topic diff=0.006844, rho=0.046324\n", + "2019-01-31 00:31:46,286 : INFO : PROGRESS: pass 0, at document #934000/4922894\n", + "2019-01-31 00:31:47,688 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:47,955 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"origin\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.008*\"centuri\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"trade\"\n", + "2019-01-31 00:31:47,956 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.015*\"year\" + 0.015*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.008*\"dai\"\n", + "2019-01-31 00:31:47,957 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:31:47,958 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"battalion\" + 0.009*\"king\" + 0.008*\"forc\" + 0.008*\"aza\" + 0.008*\"empath\" + 0.008*\"centuri\" + 0.007*\"armi\" + 0.006*\"citi\" + 0.006*\"pour\"\n", + "2019-01-31 00:31:47,959 : INFO : topic #45 (0.020): 0.020*\"jpg\" + 0.019*\"fifteenth\" + 0.015*\"black\" + 0.014*\"western\" + 0.014*\"colder\" + 0.014*\"illicit\" + 0.012*\"record\" + 0.009*\"light\" + 0.009*\"blind\" + 0.007*\"green\"\n", + "2019-01-31 00:31:47,965 : INFO : topic diff=0.007177, rho=0.046274\n", + "2019-01-31 00:31:48,125 : INFO : PROGRESS: pass 0, at document #936000/4922894\n", + "2019-01-31 00:31:49,558 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:49,825 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.009*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:31:49,826 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.025*\"schuster\" + 0.021*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.016*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:31:49,827 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.043*\"american\" + 0.027*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.016*\"english\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.010*\"wedg\"\n", + "2019-01-31 00:31:49,829 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:31:49,830 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:31:49,836 : INFO : topic diff=0.010119, rho=0.046225\n", + "2019-01-31 00:31:49,990 : INFO : PROGRESS: pass 0, at document #938000/4922894\n", + "2019-01-31 00:31:51,355 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:51,621 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:31:51,622 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"gothic\" + 0.008*\"class\"\n", + "2019-01-31 00:31:51,623 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.077*\"octob\" + 0.074*\"march\" + 0.067*\"januari\" + 0.066*\"august\" + 0.066*\"juli\" + 0.066*\"notion\" + 0.064*\"april\" + 0.063*\"decatur\" + 0.063*\"judici\"\n", + "2019-01-31 00:31:51,624 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"method\" + 0.006*\"differ\"\n", + "2019-01-31 00:31:51,625 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.025*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:31:51,631 : INFO : topic diff=0.007750, rho=0.046176\n", + "2019-01-31 00:31:54,332 : INFO : -11.930 per-word bound, 3900.8 perplexity estimate based on a held-out corpus of 2000 documents with 557660 words\n", + "2019-01-31 00:31:54,332 : INFO : PROGRESS: pass 0, at document #940000/4922894\n", + "2019-01-31 00:31:55,732 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:55,998 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.014*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:31:55,999 : INFO : topic #16 (0.020): 0.046*\"king\" + 0.032*\"priest\" + 0.020*\"quarterli\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.016*\"rotterdam\" + 0.015*\"idiosyncrat\" + 0.014*\"portugues\" + 0.014*\"count\" + 0.013*\"maria\"\n", + "2019-01-31 00:31:56,000 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.049*\"chilton\" + 0.027*\"kong\" + 0.026*\"hong\" + 0.024*\"korea\" + 0.023*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.013*\"kim\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:31:56,001 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"cotton\" + 0.030*\"unionist\" + 0.028*\"american\" + 0.024*\"new\" + 0.014*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"year\"\n", + "2019-01-31 00:31:56,002 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.037*\"arsen\" + 0.035*\"raid\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.015*\"pain\" + 0.013*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:31:56,008 : INFO : topic diff=0.008186, rho=0.046127\n", + "2019-01-31 00:31:56,166 : INFO : PROGRESS: pass 0, at document #942000/4922894\n", + "2019-01-31 00:31:57,559 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:57,825 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.036*\"perceptu\" + 0.022*\"theater\" + 0.020*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"word\" + 0.012*\"physician\"\n", + "2019-01-31 00:31:57,826 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.014*\"islam\" + 0.014*\"televis\" + 0.012*\"khalsa\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.010*\"sri\" + 0.010*\"start\"\n", + "2019-01-31 00:31:57,827 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.017*\"taxpay\" + 0.013*\"martin\" + 0.013*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 00:31:57,828 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.020*\"candid\" + 0.016*\"taxpay\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.011*\"landslid\" + 0.011*\"théori\"\n", + "2019-01-31 00:31:57,829 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.022*\"mexico\" + 0.020*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"mexican\" + 0.010*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 00:31:57,835 : INFO : topic diff=0.007473, rho=0.046078\n", + "2019-01-31 00:31:57,988 : INFO : PROGRESS: pass 0, at document #944000/4922894\n", + "2019-01-31 00:31:59,375 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:31:59,641 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"alic\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"left\"\n", + "2019-01-31 00:31:59,642 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:31:59,643 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.013*\"martin\" + 0.013*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:31:59,644 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.021*\"mexico\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\" + 0.010*\"mexican\"\n", + "2019-01-31 00:31:59,645 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.019*\"sweden\" + 0.018*\"swedish\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.014*\"huntsvil\" + 0.013*\"norwegian\" + 0.013*\"treeless\" + 0.012*\"damag\" + 0.012*\"farid\"\n", + "2019-01-31 00:31:59,651 : INFO : topic diff=0.008291, rho=0.046029\n", + "2019-01-31 00:31:59,805 : INFO : PROGRESS: pass 0, at document #946000/4922894\n", + "2019-01-31 00:32:01,200 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:01,466 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"slur\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:32:01,467 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.020*\"dutch\" + 0.017*\"folei\" + 0.017*\"player\" + 0.016*\"english\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:32:01,468 : INFO : topic #17 (0.020): 0.073*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.014*\"parish\" + 0.011*\"cathedr\" + 0.009*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:32:01,469 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:32:01,471 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.004*\"night\" + 0.004*\"bewild\" + 0.004*\"vision\" + 0.003*\"black\" + 0.003*\"comic\"\n", + "2019-01-31 00:32:01,477 : INFO : topic diff=0.006835, rho=0.045980\n", + "2019-01-31 00:32:01,639 : INFO : PROGRESS: pass 0, at document #948000/4922894\n", + "2019-01-31 00:32:03,064 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:03,331 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.026*\"alic\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.017*\"left\"\n", + "2019-01-31 00:32:03,332 : INFO : topic #29 (0.020): 0.015*\"companhia\" + 0.011*\"million\" + 0.009*\"yawn\" + 0.009*\"bank\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"busi\" + 0.007*\"function\" + 0.007*\"countri\" + 0.007*\"market\"\n", + "2019-01-31 00:32:03,333 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.019*\"warmth\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.014*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:32:03,334 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.006*\"acid\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:32:03,335 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.048*\"chilton\" + 0.026*\"kong\" + 0.026*\"hong\" + 0.023*\"korea\" + 0.021*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:32:03,341 : INFO : topic diff=0.010003, rho=0.045932\n", + "2019-01-31 00:32:03,497 : INFO : PROGRESS: pass 0, at document #950000/4922894\n", + "2019-01-31 00:32:04,887 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:05,154 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:32:05,155 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.022*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:32:05,156 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.037*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:32:05,157 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.022*\"mexico\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"mexican\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 00:32:05,158 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.013*\"jewish\" + 0.012*\"der\" + 0.012*\"israel\" + 0.009*\"austria\" + 0.009*\"european\" + 0.009*\"itali\"\n", + "2019-01-31 00:32:05,164 : INFO : topic diff=0.008111, rho=0.045883\n", + "2019-01-31 00:32:05,318 : INFO : PROGRESS: pass 0, at document #952000/4922894\n", + "2019-01-31 00:32:06,707 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:06,973 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.015*\"year\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.008*\"dai\"\n", + "2019-01-31 00:32:06,974 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.008*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\" + 0.007*\"candid\"\n", + "2019-01-31 00:32:06,976 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"end\" + 0.004*\"man\"\n", + "2019-01-31 00:32:06,977 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.056*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.014*\"report\" + 0.014*\"selma\"\n", + "2019-01-31 00:32:06,978 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.024*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:32:06,984 : INFO : topic diff=0.007736, rho=0.045835\n", + "2019-01-31 00:32:07,136 : INFO : PROGRESS: pass 0, at document #954000/4922894\n", + "2019-01-31 00:32:08,507 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:08,774 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:32:08,775 : INFO : topic #31 (0.020): 0.059*\"fusiform\" + 0.024*\"scientist\" + 0.024*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yard\" + 0.010*\"yawn\"\n", + "2019-01-31 00:32:08,776 : INFO : topic #29 (0.020): 0.015*\"companhia\" + 0.011*\"million\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"busi\" + 0.007*\"function\" + 0.007*\"countri\" + 0.007*\"market\"\n", + "2019-01-31 00:32:08,777 : INFO : topic #34 (0.020): 0.074*\"start\" + 0.032*\"cotton\" + 0.030*\"unionist\" + 0.029*\"american\" + 0.024*\"new\" + 0.014*\"terri\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.013*\"year\" + 0.012*\"north\"\n", + "2019-01-31 00:32:08,778 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.024*\"mexico\" + 0.022*\"spain\" + 0.020*\"del\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"mexican\" + 0.011*\"juan\" + 0.010*\"josé\" + 0.010*\"carlo\"\n", + "2019-01-31 00:32:08,784 : INFO : topic diff=0.008295, rho=0.045787\n", + "2019-01-31 00:32:08,945 : INFO : PROGRESS: pass 0, at document #956000/4922894\n", + "2019-01-31 00:32:10,373 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:10,639 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"airmen\" + 0.013*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 00:32:10,640 : INFO : topic #23 (0.020): 0.132*\"audit\" + 0.072*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.022*\"intern\" + 0.021*\"festiv\" + 0.018*\"women\" + 0.016*\"winner\"\n", + "2019-01-31 00:32:10,641 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.004*\"vision\" + 0.004*\"night\" + 0.004*\"bewild\" + 0.003*\"black\" + 0.003*\"comic\"\n", + "2019-01-31 00:32:10,643 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\" + 0.010*\"rosenwald\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:32:10,644 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.019*\"candid\" + 0.016*\"taxpay\" + 0.014*\"horac\" + 0.012*\"driver\" + 0.012*\"landslid\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.011*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:32:10,650 : INFO : topic diff=0.007442, rho=0.045739\n", + "2019-01-31 00:32:10,860 : INFO : PROGRESS: pass 0, at document #958000/4922894\n", + "2019-01-31 00:32:12,272 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:12,538 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:32:12,539 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:32:12,540 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.056*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.014*\"report\" + 0.014*\"bypass\"\n", + "2019-01-31 00:32:12,541 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.076*\"octob\" + 0.072*\"march\" + 0.068*\"august\" + 0.068*\"januari\" + 0.065*\"notion\" + 0.065*\"juli\" + 0.064*\"decatur\" + 0.063*\"april\" + 0.062*\"judici\"\n", + "2019-01-31 00:32:12,542 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.022*\"theater\" + 0.020*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:32:12,548 : INFO : topic diff=0.007158, rho=0.045691\n", + "2019-01-31 00:32:15,231 : INFO : -11.914 per-word bound, 3858.4 perplexity estimate based on a held-out corpus of 2000 documents with 536438 words\n", + "2019-01-31 00:32:15,232 : INFO : PROGRESS: pass 0, at document #960000/4922894\n", + "2019-01-31 00:32:16,621 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:16,887 : INFO : topic #13 (0.020): 0.025*\"new\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.025*\"australia\" + 0.022*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:32:16,888 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.019*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.014*\"wind\" + 0.013*\"treeless\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"damag\" + 0.011*\"denmark\"\n", + "2019-01-31 00:32:16,889 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.076*\"octob\" + 0.072*\"march\" + 0.069*\"januari\" + 0.068*\"august\" + 0.066*\"notion\" + 0.066*\"juli\" + 0.064*\"decatur\" + 0.063*\"april\" + 0.062*\"judici\"\n", + "2019-01-31 00:32:16,890 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.031*\"cotton\" + 0.031*\"unionist\" + 0.028*\"american\" + 0.024*\"new\" + 0.014*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.013*\"year\" + 0.012*\"north\"\n", + "2019-01-31 00:32:16,891 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"man\"\n", + "2019-01-31 00:32:16,898 : INFO : topic diff=0.007073, rho=0.045644\n", + "2019-01-31 00:32:17,055 : INFO : PROGRESS: pass 0, at document #962000/4922894\n", + "2019-01-31 00:32:18,946 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:19,212 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.073*\"best\" + 0.036*\"yawn\" + 0.027*\"jacksonvil\" + 0.023*\"noll\" + 0.023*\"japanes\" + 0.022*\"intern\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.015*\"winner\"\n", + "2019-01-31 00:32:19,213 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:32:19,214 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:32:19,215 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.013*\"airmen\" + 0.011*\"refut\"\n", + "2019-01-31 00:32:19,217 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.019*\"candid\" + 0.017*\"taxpay\" + 0.014*\"horac\" + 0.013*\"driver\" + 0.012*\"landslid\" + 0.011*\"find\" + 0.011*\"fool\" + 0.011*\"tornado\" + 0.011*\"ret\"\n", + "2019-01-31 00:32:19,223 : INFO : topic diff=0.008002, rho=0.045596\n", + "2019-01-31 00:32:19,380 : INFO : PROGRESS: pass 0, at document #964000/4922894\n", + "2019-01-31 00:32:20,819 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:21,086 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 00:32:21,087 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:32:21,088 : INFO : topic #25 (0.020): 0.029*\"ring\" + 0.018*\"lagrang\" + 0.018*\"warmth\" + 0.017*\"area\" + 0.014*\"mount\" + 0.010*\"palmer\" + 0.009*\"foam\" + 0.009*\"north\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:32:21,089 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.009*\"companhia\" + 0.009*\"develop\" + 0.009*\"serv\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"base\" + 0.008*\"includ\"\n", + "2019-01-31 00:32:21,090 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"candid\" + 0.017*\"taxpay\" + 0.014*\"horac\" + 0.013*\"driver\" + 0.012*\"landslid\" + 0.011*\"tornado\" + 0.011*\"find\" + 0.011*\"fool\" + 0.011*\"ret\"\n", + "2019-01-31 00:32:21,096 : INFO : topic diff=0.008078, rho=0.045549\n", + "2019-01-31 00:32:21,253 : INFO : PROGRESS: pass 0, at document #966000/4922894\n", + "2019-01-31 00:32:22,664 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:22,930 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.012*\"rival\" + 0.010*\"georg\" + 0.010*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:32:22,931 : INFO : topic #13 (0.020): 0.025*\"london\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.025*\"australia\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:32:22,932 : INFO : topic #32 (0.020): 0.058*\"district\" + 0.046*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.028*\"area\" + 0.027*\"cotton\" + 0.025*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.018*\"commun\"\n", + "2019-01-31 00:32:22,933 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.048*\"chilton\" + 0.028*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.015*\"leah\" + 0.014*\"sourc\" + 0.013*\"kim\" + 0.013*\"taiwan\"\n", + "2019-01-31 00:32:22,934 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"task\" + 0.008*\"class\"\n", + "2019-01-31 00:32:22,940 : INFO : topic diff=0.008432, rho=0.045502\n", + "2019-01-31 00:32:23,094 : INFO : PROGRESS: pass 0, at document #968000/4922894\n", + "2019-01-31 00:32:24,520 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:24,786 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"mexico\" + 0.022*\"spain\" + 0.020*\"del\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"mexican\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 00:32:24,788 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:32:24,789 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.012*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"candid\"\n", + "2019-01-31 00:32:24,790 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.076*\"octob\" + 0.072*\"march\" + 0.069*\"januari\" + 0.068*\"august\" + 0.067*\"notion\" + 0.066*\"juli\" + 0.064*\"decatur\" + 0.063*\"april\" + 0.063*\"judici\"\n", + "2019-01-31 00:32:24,791 : INFO : topic #26 (0.020): 0.029*\"champion\" + 0.029*\"workplac\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"alic\" + 0.023*\"men\" + 0.023*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.017*\"nation\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:32:24,797 : INFO : topic diff=0.007734, rho=0.045455\n", + "2019-01-31 00:32:24,952 : INFO : PROGRESS: pass 0, at document #970000/4922894\n", + "2019-01-31 00:32:26,355 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:26,621 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airmen\" + 0.012*\"refut\"\n", + "2019-01-31 00:32:26,623 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"man\" + 0.004*\"help\"\n", + "2019-01-31 00:32:26,624 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.019*\"candid\" + 0.017*\"taxpay\" + 0.015*\"ret\" + 0.013*\"horac\" + 0.012*\"driver\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"landslid\" + 0.011*\"find\"\n", + "2019-01-31 00:32:26,625 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.040*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"class\" + 0.010*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 00:32:26,626 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"companhia\" + 0.009*\"serv\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"includ\" + 0.008*\"base\"\n", + "2019-01-31 00:32:26,632 : INFO : topic diff=0.006966, rho=0.045408\n", + "2019-01-31 00:32:26,790 : INFO : PROGRESS: pass 0, at document #972000/4922894\n", + "2019-01-31 00:32:28,193 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:28,459 : INFO : topic #45 (0.020): 0.021*\"fifteenth\" + 0.020*\"jpg\" + 0.015*\"western\" + 0.014*\"black\" + 0.014*\"illicit\" + 0.013*\"colder\" + 0.013*\"record\" + 0.010*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:32:28,460 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.017*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airmen\" + 0.011*\"airbu\"\n", + "2019-01-31 00:32:28,461 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"man\" + 0.004*\"end\" + 0.004*\"help\"\n", + "2019-01-31 00:32:28,462 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:32:28,463 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"wine\" + 0.011*\"piec\"\n", + "2019-01-31 00:32:28,469 : INFO : topic diff=0.007905, rho=0.045361\n", + "2019-01-31 00:32:28,628 : INFO : PROGRESS: pass 0, at document #974000/4922894\n", + "2019-01-31 00:32:30,049 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:30,316 : INFO : topic #29 (0.020): 0.016*\"companhia\" + 0.011*\"million\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"busi\" + 0.007*\"market\" + 0.007*\"countri\" + 0.007*\"function\"\n", + "2019-01-31 00:32:30,317 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.039*\"sovereignti\" + 0.032*\"rural\" + 0.027*\"poison\" + 0.024*\"reprint\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 00:32:30,318 : INFO : topic #15 (0.020): 0.013*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.009*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:32:30,319 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.035*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:32:30,320 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.034*\"cotton\" + 0.030*\"unionist\" + 0.028*\"american\" + 0.025*\"new\" + 0.013*\"year\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.013*\"california\" + 0.012*\"north\"\n", + "2019-01-31 00:32:30,326 : INFO : topic diff=0.009206, rho=0.045314\n", + "2019-01-31 00:32:30,488 : INFO : PROGRESS: pass 0, at document #976000/4922894\n", + "2019-01-31 00:32:31,903 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:32,169 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.024*\"scientist\" + 0.024*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.009*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:32:32,170 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:32:32,172 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"man\" + 0.004*\"help\"\n", + "2019-01-31 00:32:32,173 : INFO : topic #41 (0.020): 0.047*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.016*\"year\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.008*\"dai\"\n", + "2019-01-31 00:32:32,174 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.005*\"vision\" + 0.004*\"bewild\" + 0.004*\"comic\" + 0.004*\"night\" + 0.003*\"black\"\n", + "2019-01-31 00:32:32,180 : INFO : topic diff=0.009012, rho=0.045268\n", + "2019-01-31 00:32:32,339 : INFO : PROGRESS: pass 0, at document #978000/4922894\n", + "2019-01-31 00:32:33,767 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:34,033 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:32:34,034 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"turn\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:32:34,035 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:32:34,036 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.038*\"arsen\" + 0.033*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"artist\"\n", + "2019-01-31 00:32:34,037 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"christian\" + 0.021*\"cathol\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.012*\"parish\" + 0.010*\"historiographi\" + 0.010*\"cathedr\" + 0.009*\"centuri\"\n", + "2019-01-31 00:32:34,043 : INFO : topic diff=0.006830, rho=0.045222\n", + "2019-01-31 00:32:36,816 : INFO : -11.568 per-word bound, 3035.8 perplexity estimate based on a held-out corpus of 2000 documents with 604118 words\n", + "2019-01-31 00:32:36,816 : INFO : PROGRESS: pass 0, at document #980000/4922894\n", + "2019-01-31 00:32:38,235 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:38,501 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:32:38,502 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.010*\"nativist\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 00:32:38,504 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:32:38,504 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.078*\"octob\" + 0.076*\"march\" + 0.069*\"august\" + 0.069*\"juli\" + 0.068*\"april\" + 0.068*\"januari\" + 0.068*\"judici\" + 0.067*\"notion\" + 0.065*\"decatur\"\n", + "2019-01-31 00:32:38,505 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.016*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"horac\" + 0.011*\"fool\" + 0.011*\"landslid\" + 0.011*\"find\"\n", + "2019-01-31 00:32:38,511 : INFO : topic diff=0.007551, rho=0.045175\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:32:38,667 : INFO : PROGRESS: pass 0, at document #982000/4922894\n", + "2019-01-31 00:32:40,069 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:40,335 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 00:32:40,336 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.034*\"cotton\" + 0.030*\"unionist\" + 0.028*\"american\" + 0.025*\"new\" + 0.014*\"year\" + 0.013*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:32:40,337 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.015*\"tiepolo\" + 0.014*\"open\" + 0.014*\"chamber\" + 0.014*\"women\"\n", + "2019-01-31 00:32:40,339 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"noll\" + 0.022*\"festiv\" + 0.022*\"intern\" + 0.018*\"women\" + 0.015*\"winner\"\n", + "2019-01-31 00:32:40,340 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.034*\"priest\" + 0.022*\"quarterli\" + 0.018*\"duke\" + 0.018*\"idiosyncrat\" + 0.016*\"grammat\" + 0.016*\"rotterdam\" + 0.014*\"maria\" + 0.014*\"count\" + 0.014*\"portugues\"\n", + "2019-01-31 00:32:40,345 : INFO : topic diff=0.007005, rho=0.045129\n", + "2019-01-31 00:32:40,500 : INFO : PROGRESS: pass 0, at document #984000/4922894\n", + "2019-01-31 00:32:41,895 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:42,162 : INFO : topic #31 (0.020): 0.060*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"ruler\" + 0.010*\"yawn\"\n", + "2019-01-31 00:32:42,163 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.036*\"arsen\" + 0.033*\"raid\" + 0.028*\"museo\" + 0.022*\"traceabl\" + 0.019*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:32:42,164 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"proper\" + 0.007*\"hormon\" + 0.006*\"caus\" + 0.006*\"acid\" + 0.006*\"treat\"\n", + "2019-01-31 00:32:42,165 : INFO : topic #29 (0.020): 0.016*\"companhia\" + 0.011*\"million\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"busi\" + 0.007*\"function\" + 0.007*\"market\" + 0.007*\"countri\"\n", + "2019-01-31 00:32:42,166 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.034*\"cotton\" + 0.030*\"unionist\" + 0.028*\"american\" + 0.025*\"new\" + 0.014*\"year\" + 0.013*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:32:42,172 : INFO : topic diff=0.007549, rho=0.045083\n", + "2019-01-31 00:32:42,329 : INFO : PROGRESS: pass 0, at document #986000/4922894\n", + "2019-01-31 00:32:43,743 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:44,009 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"utopian\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"poet\"\n", + "2019-01-31 00:32:44,010 : INFO : topic #15 (0.020): 0.013*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"cultur\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:32:44,011 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"hormon\" + 0.006*\"caus\" + 0.006*\"acid\" + 0.006*\"treat\"\n", + "2019-01-31 00:32:44,013 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.021*\"serv\" + 0.019*\"member\" + 0.018*\"gener\" + 0.018*\"govern\" + 0.017*\"nation\" + 0.017*\"seri\" + 0.014*\"chickasaw\"\n", + "2019-01-31 00:32:44,014 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.037*\"arsen\" + 0.033*\"raid\" + 0.028*\"museo\" + 0.022*\"traceabl\" + 0.019*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:32:44,019 : INFO : topic diff=0.008941, rho=0.045038\n", + "2019-01-31 00:32:44,175 : INFO : PROGRESS: pass 0, at document #988000/4922894\n", + "2019-01-31 00:32:45,573 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:45,839 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.038*\"struggl\" + 0.036*\"high\" + 0.028*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"gothic\" + 0.010*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:32:45,840 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:32:45,841 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.014*\"hostil\" + 0.011*\"genu\" + 0.011*\"plaisir\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:32:45,842 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"mexico\" + 0.021*\"spain\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"mexican\" + 0.011*\"francisco\"\n", + "2019-01-31 00:32:45,843 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.017*\"sweden\" + 0.017*\"norwegian\" + 0.017*\"stop\" + 0.016*\"swedish\" + 0.013*\"wind\" + 0.011*\"treeless\" + 0.011*\"damag\" + 0.011*\"turkish\" + 0.011*\"replac\"\n", + "2019-01-31 00:32:45,849 : INFO : topic diff=0.007313, rho=0.044992\n", + "2019-01-31 00:32:46,008 : INFO : PROGRESS: pass 0, at document #990000/4922894\n", + "2019-01-31 00:32:47,421 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:47,687 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.019*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"governor\" + 0.012*\"word\" + 0.012*\"http\"\n", + "2019-01-31 00:32:47,688 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.030*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.019*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.014*\"women\"\n", + "2019-01-31 00:32:47,690 : INFO : topic #29 (0.020): 0.016*\"companhia\" + 0.011*\"million\" + 0.009*\"yawn\" + 0.008*\"bank\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"busi\" + 0.007*\"function\" + 0.007*\"market\" + 0.007*\"industri\"\n", + "2019-01-31 00:32:47,691 : INFO : topic #39 (0.020): 0.044*\"canada\" + 0.035*\"canadian\" + 0.019*\"toronto\" + 0.018*\"hoar\" + 0.017*\"ontario\" + 0.013*\"new\" + 0.013*\"taxpay\" + 0.012*\"scientist\" + 0.011*\"misericordia\" + 0.011*\"novotná\"\n", + "2019-01-31 00:32:47,692 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"mandir\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:32:47,697 : INFO : topic diff=0.009152, rho=0.044947\n", + "2019-01-31 00:32:47,910 : INFO : PROGRESS: pass 0, at document #992000/4922894\n", + "2019-01-31 00:32:49,287 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:49,553 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.038*\"high\" + 0.038*\"struggl\" + 0.028*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"gothic\" + 0.010*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:32:49,554 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.034*\"priest\" + 0.021*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.018*\"duke\" + 0.017*\"grammat\" + 0.016*\"rotterdam\" + 0.014*\"maria\" + 0.014*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:32:49,555 : INFO : topic #33 (0.020): 0.065*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:32:49,556 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"class\" + 0.010*\"nativist\" + 0.009*\"fleet\"\n", + "2019-01-31 00:32:49,557 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.031*\"germani\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.012*\"israel\" + 0.012*\"jewish\" + 0.012*\"der\" + 0.009*\"austria\" + 0.009*\"european\" + 0.009*\"europ\"\n", + "2019-01-31 00:32:49,563 : INFO : topic diff=0.007153, rho=0.044901\n", + "2019-01-31 00:32:49,718 : INFO : PROGRESS: pass 0, at document #994000/4922894\n", + "2019-01-31 00:32:51,099 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:32:51,366 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.013*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:32:51,367 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"network\" + 0.011*\"prognosi\" + 0.009*\"develop\" + 0.008*\"companhia\" + 0.008*\"serv\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"base\"\n", + "2019-01-31 00:32:51,369 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.016*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"airmen\"\n", + "2019-01-31 00:32:51,370 : INFO : topic #34 (0.020): 0.076*\"start\" + 0.035*\"cotton\" + 0.031*\"unionist\" + 0.028*\"american\" + 0.025*\"new\" + 0.014*\"year\" + 0.014*\"warrior\" + 0.013*\"california\" + 0.013*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:32:51,371 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.008*\"forc\" + 0.008*\"king\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"centuri\" + 0.006*\"till\"\n", + "2019-01-31 00:32:51,377 : INFO : topic diff=0.006745, rho=0.044856\n", + "2019-01-31 00:32:51,533 : INFO : PROGRESS: pass 0, at document #996000/4922894\n", + "2019-01-31 00:32:52,944 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:53,210 : INFO : topic #35 (0.020): 0.051*\"russia\" + 0.039*\"sovereignti\" + 0.031*\"rural\" + 0.028*\"poison\" + 0.027*\"personifi\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.019*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 00:32:53,212 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.025*\"australia\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.022*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:32:53,213 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.022*\"ret\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"horac\" + 0.011*\"tornado\" + 0.011*\"landslid\" + 0.011*\"fool\" + 0.011*\"find\"\n", + "2019-01-31 00:32:53,214 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"produc\" + 0.008*\"veget\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"mandir\"\n", + "2019-01-31 00:32:53,215 : INFO : topic #32 (0.020): 0.058*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.028*\"area\" + 0.028*\"cotton\" + 0.025*\"regim\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.018*\"commun\"\n", + "2019-01-31 00:32:53,221 : INFO : topic diff=0.007562, rho=0.044811\n", + "2019-01-31 00:32:53,371 : INFO : PROGRESS: pass 0, at document #998000/4922894\n", + "2019-01-31 00:32:54,728 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:54,994 : INFO : topic #23 (0.020): 0.132*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"festiv\" + 0.022*\"noll\" + 0.021*\"intern\" + 0.018*\"women\" + 0.015*\"winner\"\n", + "2019-01-31 00:32:54,995 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"serv\" + 0.019*\"member\" + 0.018*\"gener\" + 0.018*\"govern\" + 0.018*\"nation\" + 0.017*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:32:54,997 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 00:32:54,998 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.005*\"blue\" + 0.005*\"vision\" + 0.004*\"litig\" + 0.004*\"bewild\" + 0.004*\"night\" + 0.004*\"comic\" + 0.004*\"black\"\n", + "2019-01-31 00:32:54,999 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.057*\"parti\" + 0.025*\"democrat\" + 0.024*\"voluntari\" + 0.020*\"member\" + 0.018*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.014*\"selma\" + 0.014*\"report\"\n", + "2019-01-31 00:32:55,005 : INFO : topic diff=0.007929, rho=0.044766\n", + "2019-01-31 00:32:57,762 : INFO : -11.721 per-word bound, 3375.1 perplexity estimate based on a held-out corpus of 2000 documents with 592509 words\n", + "2019-01-31 00:32:57,762 : INFO : PROGRESS: pass 0, at document #1000000/4922894\n", + "2019-01-31 00:32:59,172 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:32:59,439 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.021*\"ret\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.013*\"driver\" + 0.011*\"horac\" + 0.011*\"tornado\" + 0.011*\"find\" + 0.010*\"fool\" + 0.010*\"landslid\"\n", + "2019-01-31 00:32:59,440 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"utopian\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"servitud\"\n", + "2019-01-31 00:32:59,441 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.016*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"airmen\" + 0.011*\"militari\"\n", + "2019-01-31 00:32:59,442 : INFO : topic #39 (0.020): 0.046*\"canada\" + 0.034*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.017*\"ontario\" + 0.013*\"new\" + 0.013*\"taxpay\" + 0.012*\"scientist\" + 0.011*\"misericordia\" + 0.011*\"novotná\"\n", + "2019-01-31 00:32:59,443 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.025*\"australia\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.022*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.017*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:32:59,449 : INFO : topic diff=0.008569, rho=0.044721\n", + "2019-01-31 00:32:59,609 : INFO : PROGRESS: pass 0, at document #1002000/4922894\n", + "2019-01-31 00:33:01,032 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:01,298 : INFO : topic #15 (0.020): 0.013*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"cultur\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:33:01,299 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.016*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"airmen\" + 0.012*\"militari\"\n", + "2019-01-31 00:33:01,300 : INFO : topic #35 (0.020): 0.050*\"russia\" + 0.039*\"sovereignti\" + 0.030*\"rural\" + 0.027*\"poison\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 00:33:01,301 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.025*\"minist\" + 0.020*\"serv\" + 0.019*\"member\" + 0.018*\"govern\" + 0.018*\"gener\" + 0.018*\"nation\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:33:01,303 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.018*\"sweden\" + 0.018*\"stop\" + 0.017*\"norwegian\" + 0.016*\"swedish\" + 0.014*\"wind\" + 0.012*\"replac\" + 0.012*\"treeless\" + 0.012*\"huntsvil\" + 0.011*\"damag\"\n", + "2019-01-31 00:33:01,308 : INFO : topic diff=0.007388, rho=0.044677\n", + "2019-01-31 00:33:01,465 : INFO : PROGRESS: pass 0, at document #1004000/4922894\n", + "2019-01-31 00:33:02,873 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:03,139 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.025*\"factor\" + 0.021*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:33:03,140 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.020*\"ret\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.013*\"driver\" + 0.011*\"fool\" + 0.011*\"horac\" + 0.011*\"tornado\" + 0.011*\"find\" + 0.010*\"landslid\"\n", + "2019-01-31 00:33:03,141 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.025*\"minist\" + 0.020*\"serv\" + 0.019*\"member\" + 0.019*\"govern\" + 0.018*\"gener\" + 0.018*\"nation\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:33:03,142 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"christian\" + 0.021*\"cathol\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.011*\"parish\" + 0.010*\"historiographi\" + 0.009*\"centuri\" + 0.009*\"relationship\"\n", + "2019-01-31 00:33:03,144 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.024*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:33:03,150 : INFO : topic diff=0.007951, rho=0.044632\n", + "2019-01-31 00:33:03,305 : INFO : PROGRESS: pass 0, at document #1006000/4922894\n", + "2019-01-31 00:33:04,701 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:33:04,967 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.019*\"korea\" + 0.016*\"korean\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.014*\"sourc\" + 0.013*\"min\"\n", + "2019-01-31 00:33:04,969 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"women\" + 0.014*\"open\"\n", + "2019-01-31 00:33:04,970 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.040*\"line\" + 0.037*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.014*\"pain\" + 0.014*\"exhaust\" + 0.012*\"gai\"\n", + "2019-01-31 00:33:04,971 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:33:04,972 : INFO : topic #39 (0.020): 0.045*\"canada\" + 0.035*\"canadian\" + 0.021*\"toronto\" + 0.018*\"hoar\" + 0.018*\"ontario\" + 0.013*\"taxpay\" + 0.013*\"new\" + 0.013*\"scientist\" + 0.011*\"misericordia\" + 0.011*\"novotná\"\n", + "2019-01-31 00:33:04,978 : INFO : topic diff=0.006917, rho=0.044588\n", + "2019-01-31 00:33:05,134 : INFO : PROGRESS: pass 0, at document #1008000/4922894\n", + "2019-01-31 00:33:06,543 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:06,809 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.016*\"strategist\" + 0.015*\"year\" + 0.013*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:33:06,810 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"word\" + 0.012*\"major\"\n", + "2019-01-31 00:33:06,811 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.012*\"leagu\" + 0.012*\"clot\" + 0.011*\"folei\" + 0.010*\"ruler\" + 0.010*\"yawn\"\n", + "2019-01-31 00:33:06,813 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"area\" + 0.017*\"lagrang\" + 0.013*\"mount\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:33:06,814 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.025*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:33:06,819 : INFO : topic diff=0.007734, rho=0.044544\n", + "2019-01-31 00:33:06,978 : INFO : PROGRESS: pass 0, at document #1010000/4922894\n", + "2019-01-31 00:33:08,379 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:08,645 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.011*\"pop\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"base\" + 0.008*\"companhia\" + 0.008*\"user\"\n", + "2019-01-31 00:33:08,646 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:33:08,647 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.019*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"women\"\n", + "2019-01-31 00:33:08,648 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"mandir\"\n", + "2019-01-31 00:33:08,650 : INFO : topic #41 (0.020): 0.046*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.016*\"strategist\" + 0.015*\"year\" + 0.013*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:33:08,655 : INFO : topic diff=0.008426, rho=0.044499\n", + "2019-01-31 00:33:08,807 : INFO : PROGRESS: pass 0, at document #1012000/4922894\n", + "2019-01-31 00:33:10,194 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:10,462 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"proper\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"hormon\" + 0.006*\"acid\" + 0.006*\"treat\"\n", + "2019-01-31 00:33:10,463 : INFO : topic #29 (0.020): 0.016*\"companhia\" + 0.010*\"million\" + 0.008*\"yawn\" + 0.008*\"bank\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"market\" + 0.007*\"function\" + 0.007*\"busi\" + 0.007*\"countri\"\n", + "2019-01-31 00:33:10,464 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.012*\"leagu\" + 0.012*\"clot\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.010*\"ruler\"\n", + "2019-01-31 00:33:10,465 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"gothic\" + 0.010*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:33:10,466 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:33:10,473 : INFO : topic diff=0.007525, rho=0.044455\n", + "2019-01-31 00:33:10,630 : INFO : PROGRESS: pass 0, at document #1014000/4922894\n", + "2019-01-31 00:33:12,203 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:12,470 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.008*\"produc\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.007*\"mandir\"\n", + "2019-01-31 00:33:12,471 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.025*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.019*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"airmen\"\n", + "2019-01-31 00:33:12,472 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.008*\"king\" + 0.007*\"till\" + 0.007*\"armi\" + 0.006*\"centuri\"\n", + "2019-01-31 00:33:12,473 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.028*\"offic\" + 0.026*\"minist\" + 0.020*\"serv\" + 0.019*\"govern\" + 0.018*\"member\" + 0.018*\"gener\" + 0.018*\"nation\" + 0.016*\"chickasaw\" + 0.016*\"seri\"\n", + "2019-01-31 00:33:12,474 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:33:12,480 : INFO : topic diff=0.006863, rho=0.044412\n", + "2019-01-31 00:33:12,634 : INFO : PROGRESS: pass 0, at document #1016000/4922894\n", + "2019-01-31 00:33:14,036 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:14,302 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.011*\"parish\" + 0.010*\"historiographi\" + 0.009*\"centuri\" + 0.009*\"relationship\"\n", + "2019-01-31 00:33:14,304 : INFO : topic #16 (0.020): 0.045*\"king\" + 0.034*\"priest\" + 0.020*\"quarterli\" + 0.020*\"idiosyncrat\" + 0.018*\"duke\" + 0.017*\"rotterdam\" + 0.016*\"grammat\" + 0.014*\"portugues\" + 0.014*\"princ\" + 0.014*\"maria\"\n", + "2019-01-31 00:33:14,305 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:33:14,306 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.021*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:33:14,307 : INFO : topic #31 (0.020): 0.060*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.012*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"reconstruct\" + 0.010*\"yawn\"\n", + "2019-01-31 00:33:14,313 : INFO : topic diff=0.006995, rho=0.044368\n", + "2019-01-31 00:33:14,464 : INFO : PROGRESS: pass 0, at document #1018000/4922894\n", + "2019-01-31 00:33:15,827 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:16,094 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.021*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.014*\"case\" + 0.012*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.008*\"judaism\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:33:16,095 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 00:33:16,096 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:33:16,097 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"cultur\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:33:16,098 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:33:16,105 : INFO : topic diff=0.007742, rho=0.044324\n", + "2019-01-31 00:33:18,785 : INFO : -11.480 per-word bound, 2857.0 perplexity estimate based on a held-out corpus of 2000 documents with 550974 words\n", + "2019-01-31 00:33:18,786 : INFO : PROGRESS: pass 0, at document #1020000/4922894\n", + "2019-01-31 00:33:20,183 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:20,449 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.013*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.010*\"georg\" + 0.010*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:33:20,450 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.018*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"women\"\n", + "2019-01-31 00:33:20,451 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.041*\"sovereignti\" + 0.031*\"rural\" + 0.027*\"poison\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 00:33:20,452 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"base\" + 0.008*\"companhia\" + 0.008*\"cytokin\" + 0.007*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 00:33:20,453 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.008*\"produc\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.007*\"fuel\"\n", + "2019-01-31 00:33:20,459 : INFO : topic diff=0.007775, rho=0.044281\n", + "2019-01-31 00:33:20,676 : INFO : PROGRESS: pass 0, at document #1022000/4922894\n", + "2019-01-31 00:33:22,119 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:22,385 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.024*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.019*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.011*\"airbu\" + 0.011*\"airmen\"\n", + "2019-01-31 00:33:22,386 : INFO : topic #40 (0.020): 0.092*\"unit\" + 0.022*\"collector\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:33:22,387 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.024*\"spain\" + 0.021*\"mexico\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"josé\"\n", + "2019-01-31 00:33:22,388 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.047*\"chilton\" + 0.028*\"kong\" + 0.026*\"hong\" + 0.019*\"korea\" + 0.017*\"korean\" + 0.015*\"leah\" + 0.014*\"shirin\" + 0.013*\"sourc\" + 0.013*\"min\"\n", + "2019-01-31 00:33:22,389 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.025*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.022*\"australian\" + 0.021*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:33:22,395 : INFO : topic diff=0.007903, rho=0.044237\n", + "2019-01-31 00:33:22,553 : INFO : PROGRESS: pass 0, at document #1024000/4922894\n", + "2019-01-31 00:33:23,987 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:24,253 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.016*\"will\" + 0.013*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.010*\"mexican–american\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:33:24,254 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.024*\"spain\" + 0.021*\"mexico\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"francisco\"\n", + "2019-01-31 00:33:24,255 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"king\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"till\" + 0.007*\"centuri\"\n", + "2019-01-31 00:33:24,256 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.025*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.022*\"australian\" + 0.021*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:33:24,257 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"alic\" + 0.018*\"atheist\" + 0.017*\"nation\"\n", + "2019-01-31 00:33:24,263 : INFO : topic diff=0.006557, rho=0.044194\n", + "2019-01-31 00:33:24,421 : INFO : PROGRESS: pass 0, at document #1026000/4922894\n", + "2019-01-31 00:33:25,835 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:26,101 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"includ\" + 0.008*\"base\" + 0.008*\"softwar\" + 0.008*\"companhia\" + 0.008*\"cytokin\"\n", + "2019-01-31 00:33:26,102 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.010*\"origin\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.007*\"trade\"\n", + "2019-01-31 00:33:26,104 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:33:26,105 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"nicola\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"magazin\"\n", + "2019-01-31 00:33:26,106 : INFO : topic #21 (0.020): 0.040*\"samford\" + 0.024*\"spain\" + 0.021*\"mexico\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"lizard\" + 0.011*\"francisco\"\n", + "2019-01-31 00:33:26,112 : INFO : topic diff=0.006824, rho=0.044151\n", + "2019-01-31 00:33:26,266 : INFO : PROGRESS: pass 0, at document #1028000/4922894\n", + "2019-01-31 00:33:27,660 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:27,926 : INFO : topic #32 (0.020): 0.058*\"district\" + 0.046*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.029*\"cotton\" + 0.027*\"area\" + 0.026*\"regim\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:33:27,927 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"proper\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"hormon\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:33:27,928 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"cultur\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"student\"\n", + "2019-01-31 00:33:27,929 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.048*\"chilton\" + 0.027*\"kong\" + 0.026*\"hong\" + 0.019*\"korea\" + 0.017*\"korean\" + 0.015*\"leah\" + 0.013*\"sourc\" + 0.013*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:33:27,930 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"fuel\"\n", + "2019-01-31 00:33:27,936 : INFO : topic diff=0.006720, rho=0.044108\n", + "2019-01-31 00:33:28,094 : INFO : PROGRESS: pass 0, at document #1030000/4922894\n", + "2019-01-31 00:33:29,511 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:29,777 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.028*\"offic\" + 0.025*\"minist\" + 0.021*\"serv\" + 0.019*\"govern\" + 0.018*\"gener\" + 0.018*\"member\" + 0.018*\"nation\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:33:29,778 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.038*\"sovereignti\" + 0.031*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"malaysia\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:33:29,779 : INFO : topic #45 (0.020): 0.020*\"fifteenth\" + 0.020*\"jpg\" + 0.015*\"colder\" + 0.015*\"illicit\" + 0.015*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.008*\"light\" + 0.008*\"green\"\n", + "2019-01-31 00:33:29,781 : INFO : topic #37 (0.020): 0.011*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.005*\"vision\" + 0.004*\"litig\" + 0.004*\"bewild\" + 0.004*\"comic\" + 0.004*\"night\" + 0.004*\"black\"\n", + "2019-01-31 00:33:29,782 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.025*\"scientist\" + 0.025*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"ruler\" + 0.010*\"yawn\"\n", + "2019-01-31 00:33:29,788 : INFO : topic diff=0.008297, rho=0.044065\n", + "2019-01-31 00:33:29,944 : INFO : PROGRESS: pass 0, at document #1032000/4922894\n", + "2019-01-31 00:33:31,364 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:31,631 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.010*\"origin\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.007*\"trade\"\n", + "2019-01-31 00:33:31,632 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.046*\"vigour\" + 0.042*\"popolo\" + 0.039*\"tortur\" + 0.028*\"cotton\" + 0.028*\"area\" + 0.026*\"regim\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:33:31,633 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.034*\"cotton\" + 0.031*\"unionist\" + 0.029*\"american\" + 0.025*\"new\" + 0.014*\"warrior\" + 0.014*\"year\" + 0.013*\"california\" + 0.013*\"north\" + 0.013*\"terri\"\n", + "2019-01-31 00:33:31,634 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.023*\"cathol\" + 0.020*\"christian\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.010*\"parish\" + 0.010*\"historiographi\" + 0.009*\"centuri\" + 0.009*\"relationship\"\n", + "2019-01-31 00:33:31,636 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"king\" + 0.007*\"armi\" + 0.007*\"centuri\" + 0.007*\"till\"\n", + "2019-01-31 00:33:31,641 : INFO : topic diff=0.007242, rho=0.044023\n", + "2019-01-31 00:33:31,795 : INFO : PROGRESS: pass 0, at document #1034000/4922894\n", + "2019-01-31 00:33:33,188 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:33,456 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.022*\"schuster\" + 0.020*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:33:33,457 : INFO : topic #16 (0.020): 0.046*\"king\" + 0.032*\"priest\" + 0.019*\"idiosyncrat\" + 0.019*\"quarterli\" + 0.018*\"duke\" + 0.016*\"grammat\" + 0.016*\"rotterdam\" + 0.014*\"portugues\" + 0.014*\"princ\" + 0.014*\"count\"\n", + "2019-01-31 00:33:33,458 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"arsen\" + 0.039*\"line\" + 0.034*\"raid\" + 0.031*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.014*\"exhaust\" + 0.013*\"gai\"\n", + "2019-01-31 00:33:33,459 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.008*\"teufel\" + 0.007*\"king\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"centuri\"\n", + "2019-01-31 00:33:33,460 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.016*\"lagrang\" + 0.013*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.009*\"vacant\" + 0.008*\"sourc\"\n", + "2019-01-31 00:33:33,466 : INFO : topic diff=0.006693, rho=0.043980\n", + "2019-01-31 00:33:33,621 : INFO : PROGRESS: pass 0, at document #1036000/4922894\n", + "2019-01-31 00:33:35,041 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:35,307 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"alic\" + 0.018*\"atheist\" + 0.017*\"nation\"\n", + "2019-01-31 00:33:35,308 : INFO : topic #31 (0.020): 0.060*\"fusiform\" + 0.025*\"scientist\" + 0.025*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.010*\"ruler\"\n", + "2019-01-31 00:33:35,309 : INFO : topic #39 (0.020): 0.042*\"canada\" + 0.035*\"canadian\" + 0.020*\"toronto\" + 0.018*\"hoar\" + 0.017*\"ontario\" + 0.013*\"new\" + 0.012*\"scientist\" + 0.012*\"taxpay\" + 0.012*\"misericordia\" + 0.011*\"novotná\"\n", + "2019-01-31 00:33:35,311 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"king\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"centuri\"\n", + "2019-01-31 00:33:35,312 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.016*\"strategist\" + 0.014*\"year\" + 0.013*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:33:35,318 : INFO : topic diff=0.006282, rho=0.043937\n", + "2019-01-31 00:33:35,473 : INFO : PROGRESS: pass 0, at document #1038000/4922894\n", + "2019-01-31 00:33:36,879 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:37,146 : INFO : topic #29 (0.020): 0.017*\"companhia\" + 0.010*\"million\" + 0.008*\"bank\" + 0.008*\"yawn\" + 0.008*\"govern\" + 0.008*\"market\" + 0.008*\"start\" + 0.007*\"busi\" + 0.007*\"industri\" + 0.007*\"function\"\n", + "2019-01-31 00:33:37,147 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.016*\"berlin\" + 0.014*\"israel\" + 0.013*\"vol\" + 0.013*\"der\" + 0.012*\"jewish\" + 0.009*\"hungarian\" + 0.009*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 00:33:37,148 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.031*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:33:37,149 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"rival\" + 0.012*\"david\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:33:37,151 : INFO : topic #48 (0.020): 0.076*\"januari\" + 0.076*\"march\" + 0.075*\"octob\" + 0.074*\"sens\" + 0.069*\"notion\" + 0.068*\"april\" + 0.067*\"decatur\" + 0.067*\"juli\" + 0.066*\"august\" + 0.065*\"judici\"\n", + "2019-01-31 00:33:37,156 : INFO : topic diff=0.006991, rho=0.043895\n", + "2019-01-31 00:33:39,941 : INFO : -11.607 per-word bound, 3118.7 perplexity estimate based on a held-out corpus of 2000 documents with 590235 words\n", + "2019-01-31 00:33:39,942 : INFO : PROGRESS: pass 0, at document #1040000/4922894\n", + "2019-01-31 00:33:41,381 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:41,647 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"cultur\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"student\"\n", + "2019-01-31 00:33:41,648 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.010*\"origin\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.007*\"trade\"\n", + "2019-01-31 00:33:41,649 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"disco\" + 0.008*\"proper\" + 0.007*\"have\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"acid\" + 0.006*\"hormon\" + 0.006*\"effect\"\n", + "2019-01-31 00:33:41,650 : INFO : topic #17 (0.020): 0.073*\"church\" + 0.023*\"cathol\" + 0.020*\"christian\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.011*\"parish\" + 0.009*\"historiographi\" + 0.009*\"centuri\" + 0.009*\"poll\"\n", + "2019-01-31 00:33:41,651 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"swedish\" + 0.016*\"norwai\" + 0.016*\"sweden\" + 0.015*\"wind\" + 0.015*\"treeless\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.013*\"turkish\" + 0.012*\"replac\"\n", + "2019-01-31 00:33:41,657 : INFO : topic diff=0.008986, rho=0.043853\n", + "2019-01-31 00:33:41,813 : INFO : PROGRESS: pass 0, at document #1042000/4922894\n", + "2019-01-31 00:33:43,222 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:43,488 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.041*\"arsen\" + 0.039*\"line\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.013*\"gai\"\n", + "2019-01-31 00:33:43,489 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.031*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:33:43,490 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.015*\"physician\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:33:43,492 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:33:43,493 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.028*\"cotton\" + 0.027*\"area\" + 0.025*\"regim\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:33:43,498 : INFO : topic diff=0.007438, rho=0.043811\n", + "2019-01-31 00:33:43,657 : INFO : PROGRESS: pass 0, at document #1044000/4922894\n", + "2019-01-31 00:33:45,080 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:45,346 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"rival\" + 0.011*\"david\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:33:45,347 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.008*\"replac\" + 0.007*\"judaism\"\n", + "2019-01-31 00:33:45,348 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.023*\"spain\" + 0.020*\"mexico\" + 0.019*\"del\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.011*\"carlo\" + 0.011*\"francisco\"\n", + "2019-01-31 00:33:45,349 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:33:45,350 : INFO : topic #48 (0.020): 0.075*\"march\" + 0.074*\"januari\" + 0.074*\"octob\" + 0.073*\"sens\" + 0.067*\"notion\" + 0.066*\"april\" + 0.066*\"juli\" + 0.065*\"august\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 00:33:45,356 : INFO : topic diff=0.008850, rho=0.043769\n", + "2019-01-31 00:33:45,511 : INFO : PROGRESS: pass 0, at document #1046000/4922894\n", + "2019-01-31 00:33:46,920 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:47,187 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.016*\"strategist\" + 0.015*\"year\" + 0.013*\"center\" + 0.012*\"open\" + 0.010*\"includ\" + 0.009*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:33:47,188 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.014*\"fool\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"horac\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.010*\"champion\"\n", + "2019-01-31 00:33:47,189 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.050*\"chilton\" + 0.026*\"kong\" + 0.025*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.015*\"leah\" + 0.014*\"sourc\" + 0.013*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:33:47,190 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.011*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.008*\"produc\" + 0.008*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:33:47,191 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.045*\"american\" + 0.031*\"valour\" + 0.021*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:33:47,197 : INFO : topic diff=0.006886, rho=0.043727\n", + "2019-01-31 00:33:47,350 : INFO : PROGRESS: pass 0, at document #1048000/4922894\n", + "2019-01-31 00:33:48,741 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:49,007 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.025*\"minist\" + 0.020*\"serv\" + 0.019*\"gener\" + 0.018*\"nation\" + 0.018*\"member\" + 0.018*\"govern\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:33:49,008 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.030*\"germani\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.014*\"vol\" + 0.013*\"der\" + 0.012*\"jewish\" + 0.009*\"european\" + 0.009*\"isra\" + 0.008*\"austria\"\n", + "2019-01-31 00:33:49,010 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.014*\"nicola\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.011*\"magazin\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:33:49,011 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.042*\"arsen\" + 0.038*\"line\" + 0.033*\"raid\" + 0.031*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"gai\"\n", + "2019-01-31 00:33:49,012 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.069*\"best\" + 0.035*\"yawn\" + 0.029*\"jacksonvil\" + 0.026*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.019*\"intern\" + 0.018*\"women\" + 0.015*\"winner\"\n", + "2019-01-31 00:33:49,018 : INFO : topic diff=0.006464, rho=0.043685\n", + "2019-01-31 00:33:49,173 : INFO : PROGRESS: pass 0, at document #1050000/4922894\n", + "2019-01-31 00:33:50,573 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:50,838 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.018*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:33:50,840 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.039*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n", + "2019-01-31 00:33:50,841 : INFO : topic #40 (0.020): 0.092*\"unit\" + 0.022*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.017*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:33:50,842 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.004*\"like\" + 0.004*\"deal\" + 0.004*\"end\" + 0.004*\"help\"\n", + "2019-01-31 00:33:50,843 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"airmen\"\n", + "2019-01-31 00:33:50,849 : INFO : topic diff=0.007840, rho=0.043644\n", + "2019-01-31 00:33:51,001 : INFO : PROGRESS: pass 0, at document #1052000/4922894\n", + "2019-01-31 00:33:52,376 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:52,642 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.011*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:33:52,643 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.042*\"arsen\" + 0.037*\"line\" + 0.032*\"raid\" + 0.030*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.015*\"pain\" + 0.015*\"exhaust\" + 0.013*\"gai\"\n", + "2019-01-31 00:33:52,644 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.059*\"parti\" + 0.024*\"voluntari\" + 0.021*\"member\" + 0.021*\"democrat\" + 0.018*\"polici\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"republ\" + 0.013*\"liber\"\n", + "2019-01-31 00:33:52,645 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.047*\"vigour\" + 0.044*\"popolo\" + 0.039*\"tortur\" + 0.027*\"cotton\" + 0.027*\"area\" + 0.025*\"regim\" + 0.024*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:33:52,646 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"socialist\"\n", + "2019-01-31 00:33:52,652 : INFO : topic diff=0.007742, rho=0.043602\n", + "2019-01-31 00:33:52,857 : INFO : PROGRESS: pass 0, at document #1054000/4922894\n", + "2019-01-31 00:33:54,248 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:54,515 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.027*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:33:54,516 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.012*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.008*\"till\" + 0.007*\"empath\" + 0.007*\"king\" + 0.007*\"armi\" + 0.007*\"centuri\"\n", + "2019-01-31 00:33:54,517 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.033*\"cotton\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.025*\"new\" + 0.014*\"year\" + 0.014*\"warrior\" + 0.013*\"california\" + 0.013*\"terri\" + 0.013*\"north\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:33:54,518 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"kill\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.004*\"like\" + 0.004*\"end\" + 0.004*\"deal\" + 0.004*\"help\"\n", + "2019-01-31 00:33:54,519 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.012*\"polaris\" + 0.012*\"case\" + 0.008*\"legal\" + 0.008*\"replac\" + 0.007*\"judaism\"\n", + "2019-01-31 00:33:54,525 : INFO : topic diff=0.007114, rho=0.043561\n", + "2019-01-31 00:33:54,679 : INFO : PROGRESS: pass 0, at document #1056000/4922894\n", + "2019-01-31 00:33:56,067 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:56,333 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.021*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.017*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 00:33:56,334 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.025*\"scientist\" + 0.025*\"player\" + 0.022*\"taxpay\" + 0.019*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.010*\"ruler\"\n", + "2019-01-31 00:33:56,335 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.014*\"fool\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"horac\" + 0.010*\"champion\"\n", + "2019-01-31 00:33:56,336 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.024*\"jean\" + 0.018*\"daphn\" + 0.013*\"lazi\" + 0.013*\"piec\" + 0.013*\"loui\" + 0.010*\"wine\"\n", + "2019-01-31 00:33:56,337 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.048*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:33:56,343 : INFO : topic diff=0.007609, rho=0.043519\n", + "2019-01-31 00:33:56,497 : INFO : PROGRESS: pass 0, at document #1058000/4922894\n", + "2019-01-31 00:33:57,876 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:33:58,142 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.008*\"sai\" + 0.008*\"bahá\"\n", + "2019-01-31 00:33:58,143 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.014*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:33:58,144 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:33:58,145 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.010*\"love\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.004*\"vision\" + 0.004*\"comic\" + 0.004*\"madison\" + 0.004*\"night\"\n", + "2019-01-31 00:33:58,146 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.032*\"cotton\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.024*\"new\" + 0.014*\"terri\" + 0.013*\"year\" + 0.013*\"warrior\" + 0.013*\"california\" + 0.013*\"north\"\n", + "2019-01-31 00:33:58,152 : INFO : topic diff=0.006689, rho=0.043478\n", + "2019-01-31 00:34:00,893 : INFO : -11.641 per-word bound, 3194.2 perplexity estimate based on a held-out corpus of 2000 documents with 568585 words\n", + "2019-01-31 00:34:00,893 : INFO : PROGRESS: pass 0, at document #1060000/4922894\n", + "2019-01-31 00:34:02,319 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:02,585 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.036*\"sovereignti\" + 0.031*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.018*\"unfortun\" + 0.016*\"poland\" + 0.015*\"malaysia\"\n", + "2019-01-31 00:34:02,586 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.015*\"year\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:34:02,587 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"minist\" + 0.026*\"offic\" + 0.020*\"serv\" + 0.019*\"gener\" + 0.019*\"member\" + 0.018*\"nation\" + 0.018*\"govern\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:34:02,588 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"damag\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.013*\"turkish\" + 0.012*\"treeless\" + 0.012*\"replac\"\n", + "2019-01-31 00:34:02,589 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.008*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:34:02,595 : INFO : topic diff=0.007224, rho=0.043437\n", + "2019-01-31 00:34:02,748 : INFO : PROGRESS: pass 0, at document #1062000/4922894\n", + "2019-01-31 00:34:04,130 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:04,396 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.074*\"octob\" + 0.074*\"januari\" + 0.073*\"sens\" + 0.069*\"notion\" + 0.068*\"april\" + 0.066*\"juli\" + 0.066*\"august\" + 0.066*\"decatur\" + 0.063*\"judici\"\n", + "2019-01-31 00:34:04,398 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.017*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:34:04,399 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.032*\"cotton\" + 0.030*\"unionist\" + 0.030*\"american\" + 0.024*\"new\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.013*\"year\" + 0.013*\"north\" + 0.013*\"california\"\n", + "2019-01-31 00:34:04,400 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.031*\"jacksonvil\" + 0.026*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:34:04,401 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.028*\"incumb\" + 0.016*\"televis\" + 0.012*\"islam\" + 0.011*\"pakistan\" + 0.010*\"sri\" + 0.010*\"anglo\" + 0.010*\"affection\" + 0.010*\"alam\" + 0.010*\"khalsa\"\n", + "2019-01-31 00:34:04,407 : INFO : topic diff=0.006235, rho=0.043396\n", + "2019-01-31 00:34:04,564 : INFO : PROGRESS: pass 0, at document #1064000/4922894\n", + "2019-01-31 00:34:05,971 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:06,237 : INFO : topic #31 (0.020): 0.059*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"player\" + 0.023*\"taxpay\" + 0.019*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"barber\"\n", + "2019-01-31 00:34:06,238 : INFO : topic #39 (0.020): 0.043*\"canada\" + 0.036*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.013*\"new\" + 0.013*\"nba\" + 0.012*\"scientist\" + 0.011*\"taxpay\" + 0.011*\"hydrogen\"\n", + "2019-01-31 00:34:06,239 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.019*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.012*\"polaris\" + 0.009*\"legal\" + 0.008*\"replac\" + 0.007*\"judaism\"\n", + "2019-01-31 00:34:06,240 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:34:06,241 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:34:06,247 : INFO : topic diff=0.006765, rho=0.043355\n", + "2019-01-31 00:34:06,408 : INFO : PROGRESS: pass 0, at document #1066000/4922894\n", + "2019-01-31 00:34:07,842 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:08,108 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"damag\" + 0.016*\"norwai\" + 0.015*\"sweden\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.013*\"treeless\" + 0.013*\"turkish\" + 0.012*\"huntsvil\"\n", + "2019-01-31 00:34:08,109 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:34:08,110 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"serv\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"base\" + 0.008*\"includ\" + 0.007*\"softwar\"\n", + "2019-01-31 00:34:08,111 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.023*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.012*\"ashvil\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:34:08,112 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.075*\"octob\" + 0.073*\"sens\" + 0.073*\"januari\" + 0.068*\"april\" + 0.068*\"notion\" + 0.065*\"decatur\" + 0.065*\"juli\" + 0.065*\"august\" + 0.062*\"judici\"\n", + "2019-01-31 00:34:08,118 : INFO : topic diff=0.007163, rho=0.043315\n", + "2019-01-31 00:34:08,271 : INFO : PROGRESS: pass 0, at document #1068000/4922894\n", + "2019-01-31 00:34:09,669 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:09,935 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.057*\"parti\" + 0.023*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.013*\"report\" + 0.013*\"seaport\" + 0.013*\"liber\"\n", + "2019-01-31 00:34:09,936 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.021*\"christian\" + 0.021*\"cathol\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.010*\"parish\" + 0.010*\"relationship\" + 0.009*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:34:09,937 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.023*\"spain\" + 0.020*\"mexico\" + 0.019*\"del\" + 0.013*\"soviet\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.011*\"josé\" + 0.011*\"francisco\"\n", + "2019-01-31 00:34:09,938 : INFO : topic #31 (0.020): 0.059*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"player\" + 0.023*\"taxpay\" + 0.019*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 00:34:09,939 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.004*\"dixi\" + 0.004*\"vision\" + 0.004*\"comic\" + 0.004*\"night\"\n", + "2019-01-31 00:34:09,945 : INFO : topic diff=0.006457, rho=0.043274\n", + "2019-01-31 00:34:10,102 : INFO : PROGRESS: pass 0, at document #1070000/4922894\n", + "2019-01-31 00:34:11,502 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:11,768 : INFO : topic #40 (0.020): 0.092*\"unit\" + 0.025*\"collector\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.019*\"requir\" + 0.017*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:34:11,769 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.011*\"magazin\" + 0.011*\"collect\"\n", + "2019-01-31 00:34:11,770 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.031*\"cotton\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.024*\"new\" + 0.014*\"warrior\" + 0.014*\"terri\" + 0.013*\"year\" + 0.013*\"california\" + 0.013*\"north\"\n", + "2019-01-31 00:34:11,771 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.016*\"televis\" + 0.012*\"islam\" + 0.011*\"pakistan\" + 0.011*\"sri\" + 0.010*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"affection\" + 0.010*\"alam\"\n", + "2019-01-31 00:34:11,772 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.027*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:34:11,778 : INFO : topic diff=0.005978, rho=0.043234\n", + "2019-01-31 00:34:11,938 : INFO : PROGRESS: pass 0, at document #1072000/4922894\n", + "2019-01-31 00:34:13,350 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:13,616 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.008*\"bahá\"\n", + "2019-01-31 00:34:13,617 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.032*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:34:13,618 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"mandir\"\n", + "2019-01-31 00:34:13,620 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.030*\"germani\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.013*\"israel\" + 0.013*\"vol\" + 0.012*\"der\" + 0.009*\"jeremiah\" + 0.009*\"european\" + 0.008*\"europ\"\n", + "2019-01-31 00:34:13,621 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"olympo\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 00:34:13,627 : INFO : topic diff=0.007211, rho=0.043193\n", + "2019-01-31 00:34:13,785 : INFO : PROGRESS: pass 0, at document #1074000/4922894\n", + "2019-01-31 00:34:15,240 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:15,506 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.005*\"utopian\"\n", + "2019-01-31 00:34:15,507 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"silicon\"\n", + "2019-01-31 00:34:15,509 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.010*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"litig\" + 0.005*\"bewild\" + 0.004*\"vision\" + 0.004*\"comic\" + 0.004*\"dixi\" + 0.004*\"septemb\"\n", + "2019-01-31 00:34:15,510 : INFO : topic #40 (0.020): 0.091*\"unit\" + 0.025*\"collector\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.019*\"requir\" + 0.017*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:34:15,511 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.006*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:34:15,517 : INFO : topic diff=0.005948, rho=0.043153\n", + "2019-01-31 00:34:15,672 : INFO : PROGRESS: pass 0, at document #1076000/4922894\n", + "2019-01-31 00:34:17,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:17,355 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"septemb\" + 0.024*\"epiru\" + 0.019*\"stake\" + 0.019*\"teacher\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:34:17,356 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:34:17,357 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.011*\"horac\" + 0.010*\"champion\"\n", + "2019-01-31 00:34:17,358 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.013*\"aza\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.008*\"till\" + 0.008*\"empath\" + 0.007*\"king\" + 0.007*\"armi\" + 0.006*\"centuri\"\n", + "2019-01-31 00:34:17,359 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.006*\"human\" + 0.006*\"student\"\n", + "2019-01-31 00:34:17,366 : INFO : topic diff=0.007542, rho=0.043113\n", + "2019-01-31 00:34:17,525 : INFO : PROGRESS: pass 0, at document #1078000/4922894\n", + "2019-01-31 00:34:18,959 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:19,225 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.005*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 00:34:19,227 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"acid\" + 0.007*\"media\" + 0.007*\"have\" + 0.007*\"proper\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"hormon\"\n", + "2019-01-31 00:34:19,228 : INFO : topic #40 (0.020): 0.091*\"unit\" + 0.025*\"collector\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.019*\"requir\" + 0.017*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:34:19,229 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.010*\"mode\" + 0.008*\"veget\" + 0.008*\"candid\" + 0.008*\"produc\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:34:19,230 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.038*\"tortur\" + 0.028*\"area\" + 0.027*\"cotton\" + 0.025*\"regim\" + 0.025*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:34:19,236 : INFO : topic diff=0.006228, rho=0.043073\n", + "2019-01-31 00:34:21,897 : INFO : -11.672 per-word bound, 3262.0 perplexity estimate based on a held-out corpus of 2000 documents with 526071 words\n", + "2019-01-31 00:34:21,898 : INFO : PROGRESS: pass 0, at document #1080000/4922894\n", + "2019-01-31 00:34:23,286 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:23,553 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"acid\" + 0.007*\"have\" + 0.007*\"proper\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:34:23,554 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.041*\"arsen\" + 0.039*\"line\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"gai\"\n", + "2019-01-31 00:34:23,555 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:34:23,556 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.008*\"candid\" + 0.008*\"produc\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:34:23,557 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"fool\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.011*\"ret\" + 0.011*\"horac\" + 0.010*\"théori\"\n", + "2019-01-31 00:34:23,563 : INFO : topic diff=0.006625, rho=0.043033\n", + "2019-01-31 00:34:23,717 : INFO : PROGRESS: pass 0, at document #1082000/4922894\n", + "2019-01-31 00:34:25,108 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:25,375 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"fool\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.011*\"ret\" + 0.011*\"horac\" + 0.010*\"champion\"\n", + "2019-01-31 00:34:25,376 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:34:25,377 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.006*\"student\" + 0.006*\"woman\"\n", + "2019-01-31 00:34:25,378 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.021*\"christian\" + 0.021*\"cathol\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.009*\"centuri\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:34:25,380 : INFO : topic #16 (0.020): 0.045*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.018*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.015*\"count\" + 0.013*\"brazil\" + 0.012*\"princ\"\n", + "2019-01-31 00:34:25,385 : INFO : topic diff=0.006195, rho=0.042993\n", + "2019-01-31 00:34:25,540 : INFO : PROGRESS: pass 0, at document #1084000/4922894\n", + "2019-01-31 00:34:26,932 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:27,199 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"deal\" + 0.004*\"end\" + 0.004*\"help\"\n", + "2019-01-31 00:34:27,200 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:34:27,201 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.032*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 00:34:27,202 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.023*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.018*\"polici\" + 0.016*\"liber\" + 0.014*\"republ\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 00:34:27,203 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.036*\"cotton\" + 0.030*\"unionist\" + 0.029*\"american\" + 0.024*\"new\" + 0.014*\"warrior\" + 0.013*\"california\" + 0.013*\"year\" + 0.013*\"terri\" + 0.013*\"north\"\n", + "2019-01-31 00:34:27,209 : INFO : topic diff=0.006214, rho=0.042954\n", + "2019-01-31 00:34:27,364 : INFO : PROGRESS: pass 0, at document #1086000/4922894\n", + "2019-01-31 00:34:28,764 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:29,030 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.039*\"tortur\" + 0.028*\"cotton\" + 0.028*\"area\" + 0.025*\"multitud\" + 0.024*\"regim\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:34:29,031 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.041*\"arsen\" + 0.039*\"line\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.013*\"gai\"\n", + "2019-01-31 00:34:29,032 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:34:29,033 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.041*\"american\" + 0.031*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.018*\"english\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:34:29,034 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.010*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"bewild\" + 0.005*\"litig\" + 0.004*\"dixi\" + 0.004*\"vision\" + 0.004*\"comic\" + 0.004*\"night\"\n", + "2019-01-31 00:34:29,040 : INFO : topic diff=0.007532, rho=0.042914\n", + "2019-01-31 00:34:29,254 : INFO : PROGRESS: pass 0, at document #1088000/4922894\n", + "2019-01-31 00:34:30,656 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:30,923 : INFO : topic #29 (0.020): 0.017*\"companhia\" + 0.011*\"million\" + 0.008*\"yawn\" + 0.008*\"bank\" + 0.008*\"market\" + 0.008*\"busi\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"function\" + 0.007*\"industri\"\n", + "2019-01-31 00:34:30,924 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"district\" + 0.009*\"gothic\"\n", + "2019-01-31 00:34:30,925 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 00:34:30,926 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.075*\"octob\" + 0.074*\"januari\" + 0.074*\"sens\" + 0.070*\"april\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.067*\"decatur\" + 0.066*\"august\" + 0.065*\"judici\"\n", + "2019-01-31 00:34:30,927 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.027*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.019*\"alic\" + 0.017*\"rainfal\"\n", + "2019-01-31 00:34:30,933 : INFO : topic diff=0.005381, rho=0.042875\n", + "2019-01-31 00:34:31,098 : INFO : PROGRESS: pass 0, at document #1090000/4922894\n", + "2019-01-31 00:34:32,508 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:32,774 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.023*\"voluntari\" + 0.021*\"democrat\" + 0.021*\"member\" + 0.018*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.013*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:34:32,775 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.039*\"tortur\" + 0.028*\"cotton\" + 0.027*\"area\" + 0.025*\"multitud\" + 0.024*\"regim\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:34:32,777 : INFO : topic #29 (0.020): 0.017*\"companhia\" + 0.011*\"million\" + 0.008*\"yawn\" + 0.008*\"bank\" + 0.008*\"busi\" + 0.008*\"market\" + 0.008*\"govern\" + 0.008*\"start\" + 0.007*\"function\" + 0.007*\"industri\"\n", + "2019-01-31 00:34:32,778 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"bewild\" + 0.005*\"vision\" + 0.005*\"litig\" + 0.004*\"dixi\" + 0.004*\"comic\" + 0.004*\"septemb\"\n", + "2019-01-31 00:34:32,779 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"vol\" + 0.013*\"der\" + 0.009*\"jeremiah\" + 0.009*\"european\" + 0.009*\"europ\"\n", + "2019-01-31 00:34:32,785 : INFO : topic diff=0.006816, rho=0.042835\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:34:32,939 : INFO : PROGRESS: pass 0, at document #1092000/4922894\n", + "2019-01-31 00:34:34,316 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:34,582 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.011*\"worldwid\" + 0.011*\"magazin\"\n", + "2019-01-31 00:34:34,584 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:34:34,585 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"folei\" + 0.023*\"crete\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:34:34,586 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.017*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:34:34,587 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"collector\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.017*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:34:34,593 : INFO : topic diff=0.007883, rho=0.042796\n", + "2019-01-31 00:34:34,748 : INFO : PROGRESS: pass 0, at document #1094000/4922894\n", + "2019-01-31 00:34:36,137 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:36,403 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.023*\"voluntari\" + 0.021*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.013*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:34:36,404 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.047*\"chilton\" + 0.023*\"hong\" + 0.023*\"korea\" + 0.023*\"kong\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:34:36,405 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"nicola\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.011*\"magazin\" + 0.011*\"collect\"\n", + "2019-01-31 00:34:36,406 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.010*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.008*\"candid\" + 0.008*\"encyclopedia\" + 0.008*\"produc\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:34:36,407 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.023*\"tourist\" + 0.022*\"wife\" + 0.019*\"champion\" + 0.017*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 00:34:36,413 : INFO : topic diff=0.006432, rho=0.042757\n", + "2019-01-31 00:34:36,571 : INFO : PROGRESS: pass 0, at document #1096000/4922894\n", + "2019-01-31 00:34:37,976 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:38,242 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.033*\"sovereignti\" + 0.032*\"rural\" + 0.024*\"personifi\" + 0.024*\"poison\" + 0.021*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.016*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 00:34:38,243 : INFO : topic #39 (0.020): 0.042*\"canada\" + 0.035*\"canadian\" + 0.019*\"toronto\" + 0.019*\"hoar\" + 0.016*\"ontario\" + 0.013*\"new\" + 0.013*\"hydrogen\" + 0.011*\"scientist\" + 0.011*\"taxpay\" + 0.011*\"misericordia\"\n", + "2019-01-31 00:34:38,244 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.024*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.012*\"refut\"\n", + "2019-01-31 00:34:38,245 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"folei\" + 0.023*\"crete\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:34:38,246 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:34:38,252 : INFO : topic diff=0.008384, rho=0.042718\n", + "2019-01-31 00:34:38,407 : INFO : PROGRESS: pass 0, at document #1098000/4922894\n", + "2019-01-31 00:34:39,784 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:40,051 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.041*\"tortur\" + 0.028*\"area\" + 0.027*\"cotton\" + 0.025*\"multitud\" + 0.024*\"regim\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:34:40,053 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.034*\"cotton\" + 0.030*\"unionist\" + 0.030*\"american\" + 0.025*\"new\" + 0.014*\"warrior\" + 0.014*\"year\" + 0.013*\"terri\" + 0.013*\"california\" + 0.012*\"north\"\n", + "2019-01-31 00:34:40,054 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"deal\" + 0.004*\"help\"\n", + "2019-01-31 00:34:40,055 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.025*\"scientist\" + 0.025*\"player\" + 0.023*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"barber\"\n", + "2019-01-31 00:34:40,056 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.032*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:34:40,062 : INFO : topic diff=0.006874, rho=0.042679\n", + "2019-01-31 00:34:42,779 : INFO : -11.583 per-word bound, 3068.5 perplexity estimate based on a held-out corpus of 2000 documents with 563914 words\n", + "2019-01-31 00:34:42,780 : INFO : PROGRESS: pass 0, at document #1100000/4922894\n", + "2019-01-31 00:34:44,178 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:44,445 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.012*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"student\"\n", + "2019-01-31 00:34:44,446 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.049*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.023*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:34:44,447 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.022*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.014*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:34:44,448 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.024*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:34:44,449 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"method\" + 0.006*\"measur\"\n", + "2019-01-31 00:34:44,455 : INFO : topic diff=0.007173, rho=0.042640\n", + "2019-01-31 00:34:44,612 : INFO : PROGRESS: pass 0, at document #1102000/4922894\n", + "2019-01-31 00:34:46,015 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:46,282 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.034*\"cotton\" + 0.030*\"unionist\" + 0.030*\"american\" + 0.025*\"new\" + 0.014*\"year\" + 0.014*\"warrior\" + 0.013*\"california\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:34:46,283 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.017*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"martin\" + 0.012*\"women\"\n", + "2019-01-31 00:34:46,284 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.015*\"televis\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.011*\"muskoge\" + 0.011*\"tajikistan\" + 0.011*\"khalsa\" + 0.010*\"anglo\" + 0.010*\"sri\"\n", + "2019-01-31 00:34:46,285 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.033*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:34:46,286 : INFO : topic #16 (0.020): 0.044*\"king\" + 0.028*\"priest\" + 0.021*\"duke\" + 0.020*\"grammat\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.017*\"rotterdam\" + 0.014*\"count\" + 0.013*\"maria\" + 0.013*\"portugues\"\n", + "2019-01-31 00:34:46,292 : INFO : topic diff=0.007395, rho=0.042601\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:34:46,454 : INFO : PROGRESS: pass 0, at document #1104000/4922894\n", + "2019-01-31 00:34:47,886 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:48,152 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"strategist\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:34:48,154 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.017*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:34:48,155 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"acid\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:34:48,156 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.041*\"tortur\" + 0.028*\"area\" + 0.027*\"cotton\" + 0.025*\"multitud\" + 0.024*\"regim\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:34:48,157 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:34:48,163 : INFO : topic diff=0.008300, rho=0.042563\n", + "2019-01-31 00:34:48,318 : INFO : PROGRESS: pass 0, at document #1106000/4922894\n", + "2019-01-31 00:34:49,706 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:49,971 : INFO : topic #31 (0.020): 0.062*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"player\" + 0.023*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:34:49,972 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.050*\"chilton\" + 0.023*\"hong\" + 0.023*\"korea\" + 0.023*\"kong\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.015*\"kim\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:34:49,973 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.034*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"personifi\" + 0.023*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.016*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:34:49,974 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:34:49,975 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.015*\"treeless\" + 0.015*\"norwai\" + 0.015*\"sweden\" + 0.015*\"damag\" + 0.014*\"swedish\" + 0.014*\"huntsvil\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.011*\"replac\"\n", + "2019-01-31 00:34:49,981 : INFO : topic diff=0.007876, rho=0.042524\n", + "2019-01-31 00:34:50,136 : INFO : PROGRESS: pass 0, at document #1108000/4922894\n", + "2019-01-31 00:34:51,505 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:51,771 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"form\" + 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.007*\"charact\" + 0.006*\"trade\"\n", + "2019-01-31 00:34:51,772 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"develop\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"student\"\n", + "2019-01-31 00:34:51,774 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"deal\" + 0.004*\"man\"\n", + "2019-01-31 00:34:51,775 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"strategist\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:34:51,776 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.013*\"aza\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.008*\"till\" + 0.007*\"king\" + 0.007*\"armi\" + 0.006*\"centuri\"\n", + "2019-01-31 00:34:51,782 : INFO : topic diff=0.006043, rho=0.042486\n", + "2019-01-31 00:34:51,936 : INFO : PROGRESS: pass 0, at document #1110000/4922894\n", + "2019-01-31 00:34:53,315 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:53,581 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:34:53,582 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.024*\"epiru\" + 0.019*\"teacher\" + 0.018*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:34:53,584 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"form\" + 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.007*\"charact\" + 0.006*\"trade\"\n", + "2019-01-31 00:34:53,585 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.028*\"germani\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.009*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:34:53,586 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.012*\"refut\"\n", + "2019-01-31 00:34:53,592 : INFO : topic diff=0.006477, rho=0.042448\n", + "2019-01-31 00:34:53,747 : INFO : PROGRESS: pass 0, at document #1112000/4922894\n", + "2019-01-31 00:34:55,142 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:55,408 : INFO : topic #9 (0.020): 0.065*\"bone\" + 0.041*\"american\" + 0.032*\"valour\" + 0.021*\"dutch\" + 0.018*\"english\" + 0.018*\"player\" + 0.017*\"folei\" + 0.015*\"polit\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:34:55,410 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"septemb\" + 0.024*\"epiru\" + 0.019*\"teacher\" + 0.018*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:34:55,411 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.046*\"vigour\" + 0.043*\"popolo\" + 0.040*\"tortur\" + 0.028*\"area\" + 0.026*\"cotton\" + 0.025*\"multitud\" + 0.024*\"regim\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:34:55,412 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.015*\"hostil\" + 0.014*\"male\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:34:55,413 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:34:55,419 : INFO : topic diff=0.006224, rho=0.042409\n", + "2019-01-31 00:34:55,571 : INFO : PROGRESS: pass 0, at document #1114000/4922894\n", + "2019-01-31 00:34:56,950 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:34:57,216 : INFO : topic #29 (0.020): 0.018*\"companhia\" + 0.011*\"million\" + 0.008*\"busi\" + 0.008*\"yawn\" + 0.008*\"bank\" + 0.008*\"market\" + 0.008*\"govern\" + 0.007*\"start\" + 0.007*\"industri\" + 0.007*\"function\"\n", + "2019-01-31 00:34:57,217 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.023*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:34:57,218 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.034*\"cotton\" + 0.030*\"unionist\" + 0.029*\"american\" + 0.025*\"new\" + 0.014*\"year\" + 0.013*\"warrior\" + 0.013*\"california\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:34:57,219 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.014*\"vol\" + 0.014*\"berlin\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.009*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:34:57,220 : INFO : topic #45 (0.020): 0.022*\"jpg\" + 0.021*\"fifteenth\" + 0.016*\"illicit\" + 0.015*\"colder\" + 0.015*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:34:57,226 : INFO : topic diff=0.006855, rho=0.042371\n", + "2019-01-31 00:34:57,378 : INFO : PROGRESS: pass 0, at document #1116000/4922894\n", + "2019-01-31 00:34:58,752 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:34:59,018 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"carlo\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.011*\"lizard\"\n", + "2019-01-31 00:34:59,019 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.049*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.024*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:34:59,020 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.043*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:34:59,021 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.040*\"arsen\" + 0.039*\"line\" + 0.036*\"raid\" + 0.029*\"museo\" + 0.023*\"pain\" + 0.018*\"traceabl\" + 0.017*\"serv\" + 0.013*\"exhaust\" + 0.013*\"gai\"\n", + "2019-01-31 00:34:59,022 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.021*\"nation\" + 0.020*\"serv\" + 0.019*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.017*\"seri\" + 0.015*\"appeas\"\n", + "2019-01-31 00:34:59,028 : INFO : topic diff=0.007364, rho=0.042333\n", + "2019-01-31 00:34:59,242 : INFO : PROGRESS: pass 0, at document #1118000/4922894\n", + "2019-01-31 00:35:00,659 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:00,925 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 00:35:00,927 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.008*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:35:00,928 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\" + 0.011*\"lizard\"\n", + "2019-01-31 00:35:00,929 : INFO : topic #16 (0.020): 0.045*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.020*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.017*\"rotterdam\" + 0.014*\"portugues\" + 0.014*\"count\" + 0.013*\"maria\"\n", + "2019-01-31 00:35:00,930 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"comic\" + 0.005*\"litig\" + 0.005*\"vision\" + 0.005*\"bewild\" + 0.004*\"septemb\" + 0.004*\"black\"\n", + "2019-01-31 00:35:00,936 : INFO : topic diff=0.006929, rho=0.042295\n", + "2019-01-31 00:35:03,682 : INFO : -11.629 per-word bound, 3166.4 perplexity estimate based on a held-out corpus of 2000 documents with 566734 words\n", + "2019-01-31 00:35:03,682 : INFO : PROGRESS: pass 0, at document #1120000/4922894\n", + "2019-01-31 00:35:05,087 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:05,354 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"class\" + 0.010*\"nativist\" + 0.010*\"coalit\" + 0.009*\"sai\"\n", + "2019-01-31 00:35:05,355 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.031*\"new\" + 0.023*\"palmer\" + 0.014*\"year\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"hot\" + 0.010*\"lobe\"\n", + "2019-01-31 00:35:05,357 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.030*\"champion\" + 0.027*\"woman\" + 0.027*\"olymp\" + 0.025*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.017*\"rainfal\" + 0.017*\"alic\"\n", + "2019-01-31 00:35:05,358 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.033*\"cotton\" + 0.030*\"unionist\" + 0.029*\"american\" + 0.026*\"new\" + 0.014*\"year\" + 0.014*\"warrior\" + 0.013*\"california\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:35:05,359 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.019*\"norwai\" + 0.016*\"norwegian\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.013*\"treeless\" + 0.013*\"wind\" + 0.012*\"huntsvil\" + 0.012*\"financ\"\n", + "2019-01-31 00:35:05,365 : INFO : topic diff=0.006813, rho=0.042258\n", + "2019-01-31 00:35:05,526 : INFO : PROGRESS: pass 0, at document #1122000/4922894\n", + "2019-01-31 00:35:06,945 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:07,211 : INFO : topic #15 (0.020): 0.012*\"develop\" + 0.012*\"small\" + 0.011*\"organ\" + 0.011*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 00:35:07,212 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.016*\"olympo\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:35:07,213 : INFO : topic #46 (0.020): 0.020*\"norwai\" + 0.019*\"stop\" + 0.017*\"norwegian\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.014*\"treeless\" + 0.014*\"damag\" + 0.013*\"wind\" + 0.012*\"huntsvil\" + 0.011*\"financ\"\n", + "2019-01-31 00:35:07,214 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.018*\"muscl\" + 0.017*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:35:07,215 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"militari\" + 0.013*\"unionist\" + 0.012*\"refut\" + 0.012*\"airbu\"\n", + "2019-01-31 00:35:07,221 : INFO : topic diff=0.007671, rho=0.042220\n", + "2019-01-31 00:35:07,379 : INFO : PROGRESS: pass 0, at document #1124000/4922894\n", + "2019-01-31 00:35:08,788 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:09,054 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.008*\"have\" + 0.007*\"treat\" + 0.007*\"proper\" + 0.006*\"caus\" + 0.006*\"acid\" + 0.006*\"gastrointestin\"\n", + "2019-01-31 00:35:09,055 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.042*\"american\" + 0.032*\"valour\" + 0.021*\"dutch\" + 0.018*\"english\" + 0.017*\"folei\" + 0.017*\"player\" + 0.016*\"polit\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:35:09,056 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:35:09,057 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.005*\"blue\" + 0.005*\"comic\" + 0.005*\"litig\" + 0.004*\"vision\" + 0.004*\"bewild\" + 0.004*\"septemb\" + 0.004*\"black\"\n", + "2019-01-31 00:35:09,059 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.035*\"sovereignti\" + 0.031*\"rural\" + 0.030*\"rsm\" + 0.026*\"personifi\" + 0.023*\"poison\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.016*\"unfortun\"\n", + "2019-01-31 00:35:09,064 : INFO : topic diff=0.008978, rho=0.042182\n", + "2019-01-31 00:35:09,221 : INFO : PROGRESS: pass 0, at document #1126000/4922894\n", + "2019-01-31 00:35:10,630 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:10,896 : INFO : topic #29 (0.020): 0.018*\"companhia\" + 0.010*\"million\" + 0.009*\"bank\" + 0.009*\"busi\" + 0.008*\"market\" + 0.008*\"yawn\" + 0.008*\"govern\" + 0.007*\"start\" + 0.007*\"industri\" + 0.007*\"function\"\n", + "2019-01-31 00:35:10,898 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.028*\"area\" + 0.026*\"cotton\" + 0.024*\"multitud\" + 0.024*\"regim\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:35:10,899 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.026*\"septemb\" + 0.025*\"epiru\" + 0.019*\"teacher\" + 0.018*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:35:10,900 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:35:10,901 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.013*\"aza\" + 0.009*\"battalion\" + 0.009*\"teufel\" + 0.008*\"forc\" + 0.008*\"till\" + 0.008*\"king\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"centuri\"\n", + "2019-01-31 00:35:10,907 : INFO : topic diff=0.006269, rho=0.042145\n", + "2019-01-31 00:35:11,062 : INFO : PROGRESS: pass 0, at document #1128000/4922894\n", + "2019-01-31 00:35:12,460 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:12,727 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.026*\"septemb\" + 0.025*\"epiru\" + 0.019*\"teacher\" + 0.018*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:35:12,728 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:35:12,729 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.031*\"new\" + 0.024*\"palmer\" + 0.014*\"year\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"hot\" + 0.010*\"lobe\"\n", + "2019-01-31 00:35:12,730 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.023*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:35:12,731 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"produc\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:35:12,737 : INFO : topic diff=0.007026, rho=0.042108\n", + "2019-01-31 00:35:12,890 : INFO : PROGRESS: pass 0, at document #1130000/4922894\n", + "2019-01-31 00:35:14,274 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:14,541 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"sens\" + 0.074*\"octob\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.067*\"april\" + 0.066*\"juli\" + 0.066*\"judici\" + 0.066*\"decatur\" + 0.065*\"august\"\n", + "2019-01-31 00:35:14,542 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"offic\" + 0.026*\"minist\" + 0.021*\"nation\" + 0.020*\"serv\" + 0.020*\"govern\" + 0.019*\"member\" + 0.017*\"gener\" + 0.017*\"seri\" + 0.014*\"appeas\"\n", + "2019-01-31 00:35:14,543 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"class\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\"\n", + "2019-01-31 00:35:14,544 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.041*\"tortur\" + 0.028*\"area\" + 0.027*\"cotton\" + 0.024*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:35:14,545 : INFO : topic #13 (0.020): 0.025*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.024*\"new\" + 0.022*\"australian\" + 0.020*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"ipa\"\n", + "2019-01-31 00:35:14,551 : INFO : topic diff=0.007217, rho=0.042070\n", + "2019-01-31 00:35:14,702 : INFO : PROGRESS: pass 0, at document #1132000/4922894\n", + "2019-01-31 00:35:16,063 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:16,330 : INFO : topic #16 (0.020): 0.046*\"king\" + 0.031*\"priest\" + 0.021*\"grammat\" + 0.019*\"duke\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.017*\"rotterdam\" + 0.014*\"portugues\" + 0.014*\"count\" + 0.013*\"maria\"\n", + "2019-01-31 00:35:16,331 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.039*\"line\" + 0.037*\"raid\" + 0.037*\"arsen\" + 0.028*\"museo\" + 0.020*\"pain\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.013*\"exhaust\" + 0.012*\"gai\"\n", + "2019-01-31 00:35:16,332 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:35:16,333 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.009*\"veget\" + 0.007*\"produc\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:35:16,334 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.043*\"american\" + 0.031*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"english\" + 0.017*\"player\" + 0.017*\"polit\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:35:16,340 : INFO : topic diff=0.006899, rho=0.042033\n", + "2019-01-31 00:35:16,499 : INFO : PROGRESS: pass 0, at document #1134000/4922894\n", + "2019-01-31 00:35:17,931 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:18,197 : INFO : topic #45 (0.020): 0.022*\"jpg\" + 0.021*\"fifteenth\" + 0.017*\"illicit\" + 0.016*\"colder\" + 0.015*\"western\" + 0.015*\"black\" + 0.012*\"record\" + 0.010*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:35:18,199 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"man\"\n", + "2019-01-31 00:35:18,200 : INFO : topic #13 (0.020): 0.025*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"australian\" + 0.020*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"ipa\"\n", + "2019-01-31 00:35:18,201 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"offic\" + 0.026*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.020*\"serv\" + 0.019*\"member\" + 0.017*\"gener\" + 0.017*\"seri\" + 0.014*\"appeas\"\n", + "2019-01-31 00:35:18,202 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.039*\"line\" + 0.037*\"raid\" + 0.037*\"arsen\" + 0.028*\"museo\" + 0.020*\"pain\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.013*\"exhaust\" + 0.012*\"gai\"\n", + "2019-01-31 00:35:18,208 : INFO : topic diff=0.007484, rho=0.041996\n", + "2019-01-31 00:35:18,364 : INFO : PROGRESS: pass 0, at document #1136000/4922894\n", + "2019-01-31 00:35:19,774 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:20,040 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.016*\"jewish\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.009*\"european\" + 0.009*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:35:20,041 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"australian\" + 0.021*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:35:20,042 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.026*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.017*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:35:20,043 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.010*\"origin\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"like\" + 0.007*\"charact\" + 0.007*\"uruguayan\" + 0.006*\"known\"\n", + "2019-01-31 00:35:20,044 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.014*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:35:20,050 : INFO : topic diff=0.006667, rho=0.041959\n", + "2019-01-31 00:35:20,206 : INFO : PROGRESS: pass 0, at document #1138000/4922894\n", + "2019-01-31 00:35:21,598 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:21,864 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.040*\"rural\" + 0.036*\"sovereignti\" + 0.026*\"personifi\" + 0.023*\"rsm\" + 0.022*\"poison\" + 0.021*\"reprint\" + 0.019*\"moscow\" + 0.015*\"unfortun\" + 0.015*\"poland\"\n", + "2019-01-31 00:35:21,865 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"taxpay\" + 0.017*\"champion\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:35:21,866 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"english\" + 0.017*\"player\" + 0.016*\"polit\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:35:21,867 : INFO : topic #29 (0.020): 0.018*\"companhia\" + 0.010*\"million\" + 0.010*\"bank\" + 0.008*\"busi\" + 0.008*\"market\" + 0.008*\"yawn\" + 0.007*\"govern\" + 0.007*\"start\" + 0.007*\"industri\" + 0.007*\"function\"\n", + "2019-01-31 00:35:21,868 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.015*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:35:21,874 : INFO : topic diff=0.009771, rho=0.041922\n", + "2019-01-31 00:35:24,538 : INFO : -11.660 per-word bound, 3235.1 perplexity estimate based on a held-out corpus of 2000 documents with 541570 words\n", + "2019-01-31 00:35:24,539 : INFO : PROGRESS: pass 0, at document #1140000/4922894\n", + "2019-01-31 00:35:25,931 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:26,197 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.031*\"new\" + 0.023*\"palmer\" + 0.014*\"year\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 00:35:26,198 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"televis\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.011*\"khalsa\" + 0.011*\"tajikistan\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"alam\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:35:26,200 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.013*\"aza\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.007*\"king\" + 0.007*\"till\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"centuri\"\n", + "2019-01-31 00:35:26,201 : INFO : topic #29 (0.020): 0.018*\"companhia\" + 0.010*\"million\" + 0.009*\"bank\" + 0.009*\"busi\" + 0.008*\"market\" + 0.008*\"yawn\" + 0.007*\"govern\" + 0.007*\"industri\" + 0.007*\"start\" + 0.007*\"function\"\n", + "2019-01-31 00:35:26,202 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.015*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:35:26,208 : INFO : topic diff=0.006620, rho=0.041885\n", + "2019-01-31 00:35:26,363 : INFO : PROGRESS: pass 0, at document #1142000/4922894\n", + "2019-01-31 00:35:27,746 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:28,012 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.025*\"men\" + 0.021*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.018*\"alic\" + 0.017*\"rainfal\"\n", + "2019-01-31 00:35:28,013 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.040*\"tortur\" + 0.028*\"area\" + 0.026*\"cotton\" + 0.024*\"regim\" + 0.024*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:35:28,014 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"constitut\" + 0.010*\"briarwood\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"silicon\"\n", + "2019-01-31 00:35:28,016 : INFO : topic #12 (0.020): 0.008*\"frontal\" + 0.008*\"number\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.007*\"servitud\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"method\"\n", + "2019-01-31 00:35:28,017 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"produc\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"develop\"\n", + "2019-01-31 00:35:28,022 : INFO : topic diff=0.006957, rho=0.041849\n", + "2019-01-31 00:35:28,183 : INFO : PROGRESS: pass 0, at document #1144000/4922894\n", + "2019-01-31 00:35:29,579 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:29,849 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.023*\"voluntari\" + 0.022*\"member\" + 0.021*\"democrat\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"liber\" + 0.013*\"report\" + 0.013*\"selma\"\n", + "2019-01-31 00:35:29,850 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.039*\"rural\" + 0.035*\"sovereignti\" + 0.026*\"personifi\" + 0.023*\"poison\" + 0.021*\"reprint\" + 0.020*\"rsm\" + 0.020*\"moscow\" + 0.015*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:35:29,851 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.010*\"origin\" + 0.009*\"centuri\" + 0.008*\"mean\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.006*\"known\"\n", + "2019-01-31 00:35:29,852 : INFO : topic #12 (0.020): 0.009*\"frontal\" + 0.008*\"number\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.007*\"servitud\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"method\"\n", + "2019-01-31 00:35:29,853 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"televis\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.011*\"khalsa\" + 0.011*\"tajikistan\" + 0.010*\"anglo\" + 0.010*\"singh\" + 0.010*\"muskoge\"\n", + "2019-01-31 00:35:29,859 : INFO : topic diff=0.006565, rho=0.041812\n", + "2019-01-31 00:35:30,014 : INFO : PROGRESS: pass 0, at document #1146000/4922894\n", + "2019-01-31 00:35:31,404 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:31,671 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"televis\" + 0.014*\"pakistan\" + 0.011*\"islam\" + 0.011*\"khalsa\" + 0.010*\"tajikistan\" + 0.010*\"anglo\" + 0.010*\"singh\" + 0.010*\"alam\"\n", + "2019-01-31 00:35:31,673 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"form\" + 0.010*\"woodcut\" + 0.010*\"origin\" + 0.010*\"centuri\" + 0.008*\"mean\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.006*\"trade\"\n", + "2019-01-31 00:35:31,674 : INFO : topic #41 (0.020): 0.045*\"citi\" + 0.031*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.014*\"year\" + 0.012*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 00:35:31,675 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"man\"\n", + "2019-01-31 00:35:31,676 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.020*\"teacher\" + 0.018*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:35:31,682 : INFO : topic diff=0.007417, rho=0.041776\n", + "2019-01-31 00:35:31,842 : INFO : PROGRESS: pass 0, at document #1148000/4922894\n", + "2019-01-31 00:35:33,262 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:33,529 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.012*\"pop\" + 0.011*\"prognosi\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"cytokin\" + 0.008*\"brio\" + 0.007*\"base\" + 0.007*\"softwar\" + 0.007*\"championship\"\n", + "2019-01-31 00:35:33,530 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:35:33,531 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.024*\"scientist\" + 0.023*\"player\" + 0.023*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:35:33,532 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.034*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.015*\"lazi\" + 0.014*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:35:33,533 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.012*\"lizard\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"carlo\"\n", + "2019-01-31 00:35:33,539 : INFO : topic diff=0.006646, rho=0.041739\n", + "2019-01-31 00:35:33,752 : INFO : PROGRESS: pass 0, at document #1150000/4922894\n", + "2019-01-31 00:35:35,186 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:35,452 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:35:35,453 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.022*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"land\" + 0.008*\"foam\"\n", + "2019-01-31 00:35:35,454 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.019*\"buford\" + 0.013*\"histor\" + 0.011*\"linear\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:35:35,455 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.037*\"rural\" + 0.034*\"sovereignti\" + 0.025*\"personifi\" + 0.023*\"poison\" + 0.021*\"reprint\" + 0.019*\"moscow\" + 0.018*\"rsm\" + 0.015*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:35:35,456 : INFO : topic #29 (0.020): 0.019*\"companhia\" + 0.011*\"million\" + 0.010*\"bank\" + 0.009*\"busi\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.007*\"govern\" + 0.007*\"industri\" + 0.007*\"start\" + 0.007*\"function\"\n", + "2019-01-31 00:35:35,463 : INFO : topic diff=0.007564, rho=0.041703\n", + "2019-01-31 00:35:35,615 : INFO : PROGRESS: pass 0, at document #1152000/4922894\n", + "2019-01-31 00:35:36,991 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:37,257 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.010*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:35:37,258 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"have\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"treat\" + 0.007*\"caus\" + 0.006*\"hormon\" + 0.006*\"acid\" + 0.006*\"proper\"\n", + "2019-01-31 00:35:37,259 : INFO : topic #29 (0.020): 0.019*\"companhia\" + 0.011*\"million\" + 0.009*\"bank\" + 0.009*\"busi\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.007*\"govern\" + 0.007*\"industri\" + 0.007*\"start\" + 0.007*\"function\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:35:37,260 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:35:37,261 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.012*\"lizard\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"carlo\"\n", + "2019-01-31 00:35:37,267 : INFO : topic diff=0.006275, rho=0.041667\n", + "2019-01-31 00:35:37,428 : INFO : PROGRESS: pass 0, at document #1154000/4922894\n", + "2019-01-31 00:35:38,853 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:39,119 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.017*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:35:39,120 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.021*\"cathol\" + 0.020*\"christian\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:35:39,122 : INFO : topic #15 (0.020): 0.011*\"develop\" + 0.011*\"small\" + 0.011*\"commun\" + 0.011*\"organ\" + 0.009*\"word\" + 0.009*\"cultur\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:35:39,123 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"centuri\" + 0.010*\"form\" + 0.010*\"origin\" + 0.009*\"woodcut\" + 0.008*\"mean\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.007*\"charact\" + 0.006*\"trade\"\n", + "2019-01-31 00:35:39,124 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.005*\"bewild\" + 0.005*\"comic\" + 0.005*\"vision\" + 0.004*\"septemb\" + 0.004*\"litig\" + 0.004*\"dixi\"\n", + "2019-01-31 00:35:39,130 : INFO : topic diff=0.007083, rho=0.041631\n", + "2019-01-31 00:35:39,281 : INFO : PROGRESS: pass 0, at document #1156000/4922894\n", + "2019-01-31 00:35:40,654 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:40,920 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:35:40,921 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:35:40,922 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.031*\"new\" + 0.022*\"palmer\" + 0.014*\"year\" + 0.013*\"strategist\" + 0.013*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 00:35:40,923 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.009*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:35:40,924 : INFO : topic #16 (0.020): 0.045*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.018*\"quarterli\" + 0.018*\"duke\" + 0.017*\"idiosyncrat\" + 0.017*\"rotterdam\" + 0.015*\"count\" + 0.013*\"brazil\" + 0.012*\"portugues\"\n", + "2019-01-31 00:35:40,930 : INFO : topic diff=0.007047, rho=0.041595\n", + "2019-01-31 00:35:41,082 : INFO : PROGRESS: pass 0, at document #1158000/4922894\n", + "2019-01-31 00:35:42,471 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:42,737 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.077*\"octob\" + 0.072*\"januari\" + 0.071*\"notion\" + 0.069*\"juli\" + 0.067*\"judici\" + 0.067*\"august\" + 0.067*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 00:35:42,739 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.021*\"member\" + 0.021*\"democrat\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.014*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 00:35:42,740 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"live\" + 0.010*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:35:42,741 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.037*\"rural\" + 0.034*\"sovereignti\" + 0.026*\"personifi\" + 0.022*\"poison\" + 0.021*\"reprint\" + 0.019*\"moscow\" + 0.016*\"unfortun\" + 0.015*\"rsm\" + 0.015*\"poland\"\n", + "2019-01-31 00:35:42,742 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.021*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 00:35:42,748 : INFO : topic diff=0.005839, rho=0.041559\n", + "2019-01-31 00:35:45,468 : INFO : -12.230 per-word bound, 4804.3 perplexity estimate based on a held-out corpus of 2000 documents with 589084 words\n", + "2019-01-31 00:35:45,469 : INFO : PROGRESS: pass 0, at document #1160000/4922894\n", + "2019-01-31 00:35:46,869 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:47,135 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:35:47,136 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"blue\" + 0.005*\"vision\" + 0.005*\"bewild\" + 0.005*\"comic\" + 0.004*\"septemb\" + 0.004*\"litig\" + 0.004*\"dixi\"\n", + "2019-01-31 00:35:47,137 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.030*\"new\" + 0.023*\"palmer\" + 0.013*\"strategist\" + 0.013*\"year\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 00:35:47,139 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.013*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:35:47,140 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:35:47,146 : INFO : topic diff=0.008513, rho=0.041523\n", + "2019-01-31 00:35:47,300 : INFO : PROGRESS: pass 0, at document #1162000/4922894\n", + "2019-01-31 00:35:48,692 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:48,958 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"man\"\n", + "2019-01-31 00:35:48,959 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"taxpay\" + 0.017*\"champion\" + 0.015*\"chamber\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.012*\"winner\"\n", + "2019-01-31 00:35:48,960 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"blue\" + 0.005*\"vision\" + 0.005*\"bewild\" + 0.005*\"comic\" + 0.004*\"septemb\" + 0.004*\"litig\" + 0.004*\"dixi\"\n", + "2019-01-31 00:35:48,961 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"minist\" + 0.026*\"offic\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.018*\"serv\" + 0.016*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:35:48,962 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:35:48,968 : INFO : topic diff=0.006946, rho=0.041487\n", + "2019-01-31 00:35:49,120 : INFO : PROGRESS: pass 0, at document #1164000/4922894\n", + "2019-01-31 00:35:50,492 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:50,759 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:35:50,760 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:35:50,761 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.037*\"rural\" + 0.034*\"sovereignti\" + 0.026*\"personifi\" + 0.022*\"poison\" + 0.021*\"reprint\" + 0.019*\"moscow\" + 0.015*\"unfortun\" + 0.015*\"poland\" + 0.015*\"malaysia\"\n", + "2019-01-31 00:35:50,762 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:35:50,763 : INFO : topic #0 (0.020): 0.071*\"statewid\" + 0.042*\"raid\" + 0.039*\"arsen\" + 0.038*\"line\" + 0.030*\"museo\" + 0.019*\"traceabl\" + 0.017*\"pain\" + 0.017*\"serv\" + 0.014*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:35:50,769 : INFO : topic diff=0.006318, rho=0.041451\n", + "2019-01-31 00:35:50,921 : INFO : PROGRESS: pass 0, at document #1166000/4922894\n", + "2019-01-31 00:35:52,301 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:52,567 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.046*\"vigour\" + 0.043*\"popolo\" + 0.041*\"tortur\" + 0.028*\"cotton\" + 0.028*\"area\" + 0.024*\"regim\" + 0.024*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:35:52,568 : INFO : topic #36 (0.020): 0.013*\"network\" + 0.011*\"pop\" + 0.010*\"oper\" + 0.010*\"prognosi\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"cytokin\" + 0.007*\"base\" + 0.007*\"brio\" + 0.007*\"softwar\"\n", + "2019-01-31 00:35:52,569 : INFO : topic #28 (0.020): 0.029*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.019*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.010*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:35:52,571 : INFO : topic #11 (0.020): 0.028*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"rival\" + 0.011*\"david\" + 0.010*\"georg\" + 0.009*\"slur\" + 0.009*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:35:52,572 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.029*\"germani\" + 0.015*\"jewish\" + 0.015*\"vol\" + 0.013*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:35:52,577 : INFO : topic diff=0.007075, rho=0.041416\n", + "2019-01-31 00:35:52,733 : INFO : PROGRESS: pass 0, at document #1168000/4922894\n", + "2019-01-31 00:35:54,135 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:54,401 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"london\" + 0.024*\"new\" + 0.023*\"australian\" + 0.021*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"rotterdam\" + 0.015*\"youth\"\n", + "2019-01-31 00:35:54,402 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.020*\"mexico\" + 0.018*\"del\" + 0.016*\"soviet\" + 0.012*\"santa\" + 0.012*\"lizard\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.010*\"carlo\"\n", + "2019-01-31 00:35:54,404 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.009*\"mexican–american\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:35:54,405 : INFO : topic #39 (0.020): 0.046*\"canada\" + 0.037*\"canadian\" + 0.020*\"toronto\" + 0.019*\"ontario\" + 0.019*\"hoar\" + 0.013*\"new\" + 0.012*\"hydrogen\" + 0.012*\"novotná\" + 0.012*\"misericordia\" + 0.011*\"araz\"\n", + "2019-01-31 00:35:54,406 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.027*\"minist\" + 0.027*\"offic\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.019*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.014*\"start\"\n", + "2019-01-31 00:35:54,412 : INFO : topic diff=0.005852, rho=0.041380\n", + "2019-01-31 00:35:54,567 : INFO : PROGRESS: pass 0, at document #1170000/4922894\n", + "2019-01-31 00:35:55,946 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:56,212 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.029*\"incumb\" + 0.015*\"islam\" + 0.013*\"televis\" + 0.013*\"pakistan\" + 0.012*\"muskoge\" + 0.011*\"khalsa\" + 0.010*\"alam\" + 0.010*\"tajikistan\" + 0.010*\"anglo\"\n", + "2019-01-31 00:35:56,213 : INFO : topic #16 (0.020): 0.046*\"king\" + 0.032*\"priest\" + 0.019*\"grammat\" + 0.019*\"quarterli\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.015*\"brazil\" + 0.014*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:35:56,215 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.033*\"cotton\" + 0.033*\"unionist\" + 0.029*\"american\" + 0.026*\"new\" + 0.014*\"year\" + 0.013*\"warrior\" + 0.013*\"california\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:35:56,216 : INFO : topic #15 (0.020): 0.011*\"develop\" + 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:35:56,217 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.032*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.020*\"women\" + 0.020*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:35:56,223 : INFO : topic diff=0.006069, rho=0.041345\n", + "2019-01-31 00:35:56,379 : INFO : PROGRESS: pass 0, at document #1172000/4922894\n", + "2019-01-31 00:35:57,766 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:58,032 : INFO : topic #2 (0.020): 0.044*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.011*\"pope\" + 0.010*\"bahá\" + 0.009*\"class\" + 0.009*\"coalit\"\n", + "2019-01-31 00:35:58,033 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"australian\" + 0.021*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.015*\"rotterdam\"\n", + "2019-01-31 00:35:58,034 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.021*\"mexico\" + 0.019*\"del\" + 0.016*\"soviet\" + 0.012*\"lizard\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.010*\"carlo\"\n", + "2019-01-31 00:35:58,035 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.010*\"oper\" + 0.009*\"develop\" + 0.008*\"serv\" + 0.008*\"cytokin\" + 0.008*\"base\" + 0.007*\"softwar\" + 0.007*\"user\"\n", + "2019-01-31 00:35:58,037 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.015*\"jewish\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:35:58,042 : INFO : topic diff=0.006696, rho=0.041310\n", + "2019-01-31 00:35:58,198 : INFO : PROGRESS: pass 0, at document #1174000/4922894\n", + "2019-01-31 00:35:59,595 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:35:59,861 : INFO : topic #39 (0.020): 0.046*\"canada\" + 0.036*\"canadian\" + 0.020*\"toronto\" + 0.019*\"ontario\" + 0.018*\"hoar\" + 0.013*\"new\" + 0.012*\"hydrogen\" + 0.012*\"araz\" + 0.011*\"misericordia\" + 0.011*\"novotná\"\n", + "2019-01-31 00:35:59,862 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 00:35:59,863 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.013*\"strategist\" + 0.013*\"year\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:35:59,864 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"rival\" + 0.011*\"david\" + 0.009*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:35:59,865 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"norwai\" + 0.017*\"norwegian\" + 0.016*\"swedish\" + 0.015*\"sweden\" + 0.015*\"unjust\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.011*\"financ\" + 0.011*\"treeless\"\n", + "2019-01-31 00:35:59,871 : INFO : topic diff=0.007020, rho=0.041274\n", + "2019-01-31 00:36:00,027 : INFO : PROGRESS: pass 0, at document #1176000/4922894\n", + "2019-01-31 00:36:01,413 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:01,680 : INFO : topic #2 (0.020): 0.044*\"isl\" + 0.036*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.011*\"pope\" + 0.010*\"bahá\" + 0.010*\"class\" + 0.009*\"coalit\"\n", + "2019-01-31 00:36:01,681 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"norwai\" + 0.017*\"norwegian\" + 0.015*\"swedish\" + 0.015*\"sweden\" + 0.015*\"damag\" + 0.014*\"unjust\" + 0.014*\"wind\" + 0.011*\"turkish\" + 0.011*\"financ\"\n", + "2019-01-31 00:36:01,682 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.015*\"jewish\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:36:01,683 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:36:01,684 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:36:01,690 : INFO : topic diff=0.005963, rho=0.041239\n", + "2019-01-31 00:36:01,847 : INFO : PROGRESS: pass 0, at document #1178000/4922894\n", + "2019-01-31 00:36:03,242 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:03,509 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"norwai\" + 0.017*\"norwegian\" + 0.016*\"swedish\" + 0.015*\"sweden\" + 0.015*\"damag\" + 0.015*\"wind\" + 0.014*\"unjust\" + 0.011*\"turkish\" + 0.011*\"denmark\"\n", + "2019-01-31 00:36:03,511 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:36:03,512 : INFO : topic #29 (0.020): 0.020*\"companhia\" + 0.011*\"million\" + 0.009*\"bank\" + 0.009*\"market\" + 0.009*\"busi\" + 0.008*\"yawn\" + 0.007*\"industri\" + 0.007*\"start\" + 0.007*\"produc\" + 0.007*\"govern\"\n", + "2019-01-31 00:36:03,513 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.044*\"franc\" + 0.033*\"pari\" + 0.024*\"jean\" + 0.024*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:36:03,514 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.024*\"new\" + 0.022*\"australian\" + 0.021*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.015*\"rotterdam\"\n", + "2019-01-31 00:36:03,520 : INFO : topic diff=0.007834, rho=0.041204\n", + "2019-01-31 00:36:06,233 : INFO : -11.496 per-word bound, 2888.2 perplexity estimate based on a held-out corpus of 2000 documents with 539919 words\n", + "2019-01-31 00:36:06,234 : INFO : PROGRESS: pass 0, at document #1180000/4922894\n", + "2019-01-31 00:36:07,638 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:07,904 : INFO : topic #45 (0.020): 0.022*\"jpg\" + 0.022*\"fifteenth\" + 0.016*\"illicit\" + 0.016*\"black\" + 0.016*\"colder\" + 0.015*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:36:07,905 : INFO : topic #19 (0.020): 0.013*\"languag\" + 0.010*\"woodcut\" + 0.010*\"centuri\" + 0.010*\"form\" + 0.010*\"origin\" + 0.008*\"mean\" + 0.007*\"like\" + 0.007*\"charact\" + 0.007*\"uruguayan\" + 0.007*\"trade\"\n", + "2019-01-31 00:36:07,906 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.037*\"sovereignti\" + 0.036*\"rural\" + 0.027*\"personifi\" + 0.022*\"poison\" + 0.021*\"reprint\" + 0.021*\"moscow\" + 0.016*\"unfortun\" + 0.016*\"malaysia\" + 0.015*\"poland\"\n", + "2019-01-31 00:36:07,907 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"king\" + 0.006*\"militari\"\n", + "2019-01-31 00:36:07,908 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:36:07,914 : INFO : topic diff=0.007236, rho=0.041169\n", + "2019-01-31 00:36:08,069 : INFO : PROGRESS: pass 0, at document #1182000/4922894\n", + "2019-01-31 00:36:09,458 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:09,725 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"adulthood\" + 0.024*\"factor\" + 0.017*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"yawn\"\n", + "2019-01-31 00:36:09,726 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.034*\"pari\" + 0.024*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:36:09,727 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.012*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:36:09,728 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.014*\"tornado\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"horac\" + 0.011*\"ret\" + 0.010*\"théori\"\n", + "2019-01-31 00:36:09,729 : INFO : topic #0 (0.020): 0.071*\"statewid\" + 0.041*\"raid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.028*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.016*\"pain\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:36:09,735 : INFO : topic diff=0.005971, rho=0.041135\n", + "2019-01-31 00:36:09,950 : INFO : PROGRESS: pass 0, at document #1184000/4922894\n", + "2019-01-31 00:36:11,352 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:11,618 : INFO : topic #48 (0.020): 0.079*\"octob\" + 0.075*\"march\" + 0.075*\"sens\" + 0.070*\"notion\" + 0.070*\"januari\" + 0.067*\"juli\" + 0.065*\"august\" + 0.065*\"april\" + 0.064*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 00:36:11,619 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.049*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.023*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"shirin\" + 0.013*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 00:36:11,621 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.033*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:36:11,621 : INFO : topic #16 (0.020): 0.047*\"king\" + 0.033*\"priest\" + 0.020*\"quarterli\" + 0.020*\"duke\" + 0.020*\"grammat\" + 0.016*\"idiosyncrat\" + 0.015*\"rotterdam\" + 0.015*\"brazil\" + 0.014*\"princ\" + 0.013*\"count\"\n", + "2019-01-31 00:36:11,623 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"call\" + 0.004*\"man\"\n", + "2019-01-31 00:36:11,629 : INFO : topic diff=0.008042, rho=0.041100\n", + "2019-01-31 00:36:11,785 : INFO : PROGRESS: pass 0, at document #1186000/4922894\n", + "2019-01-31 00:36:13,339 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:13,607 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.019*\"di\" + 0.017*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:36:13,608 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.034*\"pari\" + 0.024*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:36:13,609 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"have\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"treat\" + 0.006*\"gastrointestin\" + 0.006*\"proper\"\n", + "2019-01-31 00:36:13,610 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"director\"\n", + "2019-01-31 00:36:13,612 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.014*\"hostil\" + 0.011*\"live\" + 0.011*\"genu\" + 0.011*\"plaisir\" + 0.009*\"yawn\"\n", + "2019-01-31 00:36:13,617 : INFO : topic diff=0.006065, rho=0.041065\n", + "2019-01-31 00:36:13,773 : INFO : PROGRESS: pass 0, at document #1188000/4922894\n", + "2019-01-31 00:36:15,174 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:15,440 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.018*\"norwai\" + 0.017*\"norwegian\" + 0.016*\"swedish\" + 0.015*\"sweden\" + 0.014*\"wind\" + 0.014*\"damag\" + 0.013*\"unjust\" + 0.011*\"turkish\" + 0.011*\"denmark\"\n", + "2019-01-31 00:36:15,441 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.010*\"woodcut\" + 0.010*\"centuri\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"charact\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.007*\"god\"\n", + "2019-01-31 00:36:15,442 : INFO : topic #16 (0.020): 0.046*\"king\" + 0.034*\"priest\" + 0.020*\"quarterli\" + 0.020*\"duke\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.015*\"rotterdam\" + 0.014*\"brazil\" + 0.013*\"princ\" + 0.013*\"count\"\n", + "2019-01-31 00:36:15,444 : INFO : topic #45 (0.020): 0.022*\"jpg\" + 0.021*\"fifteenth\" + 0.017*\"colder\" + 0.017*\"illicit\" + 0.016*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:36:15,445 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:36:15,450 : INFO : topic diff=0.006913, rho=0.041030\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:36:15,607 : INFO : PROGRESS: pass 0, at document #1190000/4922894\n", + "2019-01-31 00:36:17,016 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:17,283 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.040*\"raid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.017*\"pain\" + 0.013*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:36:17,284 : INFO : topic #23 (0.020): 0.140*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.032*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.020*\"women\" + 0.018*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:36:17,285 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.014*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:36:17,286 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.036*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.011*\"pope\" + 0.010*\"fleet\" + 0.009*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 00:36:17,287 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.033*\"unionist\" + 0.033*\"cotton\" + 0.030*\"american\" + 0.026*\"new\" + 0.015*\"year\" + 0.013*\"warrior\" + 0.013*\"california\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:36:17,293 : INFO : topic diff=0.006854, rho=0.040996\n", + "2019-01-31 00:36:17,449 : INFO : PROGRESS: pass 0, at document #1192000/4922894\n", + "2019-01-31 00:36:18,844 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:19,111 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 00:36:19,112 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"produc\" + 0.007*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:36:19,113 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.040*\"raid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.017*\"pain\" + 0.013*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:36:19,114 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"have\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:36:19,115 : INFO : topic #3 (0.020): 0.038*\"present\" + 0.028*\"offic\" + 0.025*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.018*\"member\" + 0.018*\"serv\" + 0.018*\"gener\" + 0.016*\"chickasaw\" + 0.015*\"seri\"\n", + "2019-01-31 00:36:19,121 : INFO : topic diff=0.005556, rho=0.040962\n", + "2019-01-31 00:36:19,277 : INFO : PROGRESS: pass 0, at document #1194000/4922894\n", + "2019-01-31 00:36:20,674 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:20,940 : INFO : topic #23 (0.020): 0.140*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.032*\"jacksonvil\" + 0.025*\"japanes\" + 0.022*\"festiv\" + 0.021*\"noll\" + 0.020*\"women\" + 0.018*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:36:20,941 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.021*\"event\" + 0.021*\"medal\" + 0.018*\"rainfal\" + 0.018*\"nation\" + 0.018*\"alic\"\n", + "2019-01-31 00:36:20,942 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.015*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"order\" + 0.009*\"legal\" + 0.008*\"replac\"\n", + "2019-01-31 00:36:20,943 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.040*\"line\" + 0.039*\"raid\" + 0.038*\"arsen\" + 0.028*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.016*\"pain\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:36:20,944 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.009*\"european\" + 0.009*\"itali\" + 0.008*\"austria\"\n", + "2019-01-31 00:36:20,950 : INFO : topic diff=0.005746, rho=0.040927\n", + "2019-01-31 00:36:21,106 : INFO : PROGRESS: pass 0, at document #1196000/4922894\n", + "2019-01-31 00:36:22,488 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:22,754 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.017*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:36:22,755 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.044*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:36:22,757 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.017*\"taxpay\" + 0.016*\"chamber\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 00:36:22,758 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.040*\"line\" + 0.039*\"raid\" + 0.038*\"arsen\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.016*\"pain\" + 0.013*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:36:22,759 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"comic\" + 0.007*\"gestur\" + 0.006*\"blue\" + 0.005*\"vision\" + 0.004*\"bewild\" + 0.004*\"dixi\" + 0.004*\"black\" + 0.004*\"litig\"\n", + "2019-01-31 00:36:22,765 : INFO : topic diff=0.006996, rho=0.040893\n", + "2019-01-31 00:36:22,915 : INFO : PROGRESS: pass 0, at document #1198000/4922894\n", + "2019-01-31 00:36:24,283 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:24,550 : INFO : topic #29 (0.020): 0.020*\"companhia\" + 0.011*\"million\" + 0.009*\"busi\" + 0.009*\"bank\" + 0.009*\"yawn\" + 0.009*\"market\" + 0.007*\"industri\" + 0.007*\"function\" + 0.007*\"start\" + 0.007*\"govern\"\n", + "2019-01-31 00:36:24,551 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.031*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:36:24,552 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.025*\"collector\" + 0.022*\"schuster\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:36:24,553 : INFO : topic #35 (0.020): 0.052*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.021*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:36:24,555 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"georg\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:36:24,560 : INFO : topic diff=0.007585, rho=0.040859\n", + "2019-01-31 00:36:27,262 : INFO : -11.689 per-word bound, 3302.0 perplexity estimate based on a held-out corpus of 2000 documents with 554964 words\n", + "2019-01-31 00:36:27,263 : INFO : PROGRESS: pass 0, at document #1200000/4922894\n", + "2019-01-31 00:36:28,659 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:28,926 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"mandir\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:36:28,927 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.052*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.014*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 00:36:28,928 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"develop\" + 0.011*\"commun\" + 0.011*\"organ\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"cultur\" + 0.008*\"peopl\" + 0.007*\"summerhil\" + 0.006*\"human\"\n", + "2019-01-31 00:36:28,929 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.027*\"offic\" + 0.026*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"serv\" + 0.018*\"gener\" + 0.016*\"chickasaw\" + 0.015*\"seri\"\n", + "2019-01-31 00:36:28,930 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:36:28,936 : INFO : topic diff=0.006620, rho=0.040825\n", + "2019-01-31 00:36:29,092 : INFO : PROGRESS: pass 0, at document #1202000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:36:30,495 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:30,762 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:36:30,763 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"adulthood\" + 0.024*\"factor\" + 0.017*\"feel\" + 0.015*\"male\" + 0.015*\"hostil\" + 0.011*\"genu\" + 0.011*\"live\" + 0.011*\"plaisir\" + 0.010*\"yawn\"\n", + "2019-01-31 00:36:30,765 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"armi\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"unionist\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:36:30,766 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:36:30,767 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.020*\"lagrang\" + 0.018*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:36:30,772 : INFO : topic diff=0.006743, rho=0.040791\n", + "2019-01-31 00:36:30,925 : INFO : PROGRESS: pass 0, at document #1204000/4922894\n", + "2019-01-31 00:36:32,318 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:32,585 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:36:32,586 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.039*\"line\" + 0.039*\"arsen\" + 0.038*\"raid\" + 0.029*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.016*\"pain\" + 0.013*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:36:32,587 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"armi\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.012*\"unionist\" + 0.011*\"airmen\"\n", + "2019-01-31 00:36:32,588 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.016*\"ricardo\" + 0.012*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.008*\"replac\" + 0.008*\"order\"\n", + "2019-01-31 00:36:32,590 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:36:32,595 : INFO : topic diff=0.005168, rho=0.040757\n", + "2019-01-31 00:36:32,756 : INFO : PROGRESS: pass 0, at document #1206000/4922894\n", + "2019-01-31 00:36:34,154 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:34,421 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"place\" + 0.018*\"theater\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:36:34,422 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.030*\"son\" + 0.028*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:36:34,423 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"televis\" + 0.011*\"tajikistan\" + 0.011*\"muskoge\" + 0.011*\"pakistan\" + 0.011*\"khalsa\" + 0.010*\"anglo\" + 0.009*\"alam\"\n", + "2019-01-31 00:36:34,424 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 00:36:34,425 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.029*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.017*\"taxpay\" + 0.016*\"chamber\" + 0.015*\"tiepolo\" + 0.014*\"martin\" + 0.012*\"open\"\n", + "2019-01-31 00:36:34,431 : INFO : topic diff=0.005536, rho=0.040723\n", + "2019-01-31 00:36:34,588 : INFO : PROGRESS: pass 0, at document #1208000/4922894\n", + "2019-01-31 00:36:35,992 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:36,258 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.012*\"aza\" + 0.009*\"battalion\" + 0.009*\"teufel\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.008*\"till\" + 0.007*\"armi\" + 0.007*\"king\" + 0.006*\"militari\"\n", + "2019-01-31 00:36:36,259 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.027*\"offic\" + 0.026*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.018*\"serv\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:36:36,260 : INFO : topic #48 (0.020): 0.079*\"octob\" + 0.078*\"march\" + 0.074*\"sens\" + 0.071*\"notion\" + 0.069*\"januari\" + 0.067*\"juli\" + 0.066*\"august\" + 0.066*\"april\" + 0.065*\"decatur\" + 0.065*\"judici\"\n", + "2019-01-31 00:36:36,262 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:36:36,263 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:36:36,269 : INFO : topic diff=0.005751, rho=0.040689\n", + "2019-01-31 00:36:36,422 : INFO : PROGRESS: pass 0, at document #1210000/4922894\n", + "2019-01-31 00:36:37,796 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:38,063 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"televis\" + 0.012*\"tajikistan\" + 0.012*\"anglo\" + 0.011*\"muskoge\" + 0.011*\"pakistan\" + 0.010*\"khalsa\" + 0.009*\"alam\"\n", + "2019-01-31 00:36:38,064 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.030*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.017*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:36:38,065 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:36:38,066 : INFO : topic #16 (0.020): 0.046*\"king\" + 0.031*\"priest\" + 0.021*\"quarterli\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.015*\"rotterdam\" + 0.015*\"brazil\" + 0.014*\"princ\" + 0.013*\"portugues\"\n", + "2019-01-31 00:36:38,068 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:36:38,073 : INFO : topic diff=0.005992, rho=0.040656\n", + "2019-01-31 00:36:38,230 : INFO : PROGRESS: pass 0, at document #1212000/4922894\n", + "2019-01-31 00:36:39,656 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:39,922 : INFO : topic #31 (0.020): 0.063*\"fusiform\" + 0.024*\"scientist\" + 0.023*\"player\" + 0.023*\"taxpay\" + 0.021*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.009*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 00:36:39,924 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.025*\"collector\" + 0.022*\"institut\" + 0.021*\"schuster\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:36:39,925 : INFO : topic #7 (0.020): 0.020*\"di\" + 0.020*\"snatch\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:36:39,926 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:36:39,927 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.030*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:36:39,933 : INFO : topic diff=0.007340, rho=0.040622\n", + "2019-01-31 00:36:40,147 : INFO : PROGRESS: pass 0, at document #1214000/4922894\n", + "2019-01-31 00:36:41,558 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:41,825 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.010*\"bahá\" + 0.010*\"coalit\" + 0.009*\"class\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:36:41,826 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:36:41,828 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"septemb\" + 0.022*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:36:41,829 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.027*\"hous\" + 0.020*\"rivièr\" + 0.018*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.010*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:36:41,830 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:36:41,836 : INFO : topic diff=0.005980, rho=0.040589\n", + "2019-01-31 00:36:41,990 : INFO : PROGRESS: pass 0, at document #1216000/4922894\n", + "2019-01-31 00:36:43,381 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:43,648 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"treat\" + 0.007*\"caus\" + 0.006*\"hormon\" + 0.006*\"pathwai\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:36:43,649 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:36:43,650 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:36:43,651 : INFO : topic #29 (0.020): 0.020*\"companhia\" + 0.011*\"million\" + 0.010*\"bank\" + 0.009*\"busi\" + 0.008*\"market\" + 0.008*\"yawn\" + 0.007*\"industri\" + 0.007*\"start\" + 0.007*\"govern\" + 0.007*\"function\"\n", + "2019-01-31 00:36:43,652 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.025*\"collector\" + 0.022*\"schuster\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:36:43,658 : INFO : topic diff=0.006676, rho=0.040555\n", + "2019-01-31 00:36:43,817 : INFO : PROGRESS: pass 0, at document #1218000/4922894\n", + "2019-01-31 00:36:45,206 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:45,472 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"place\" + 0.019*\"theater\" + 0.017*\"damn\" + 0.016*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:36:45,473 : INFO : topic #39 (0.020): 0.048*\"canada\" + 0.039*\"canadian\" + 0.022*\"toronto\" + 0.020*\"hoar\" + 0.019*\"ontario\" + 0.013*\"new\" + 0.012*\"hydrogen\" + 0.012*\"novotná\" + 0.011*\"misericordia\" + 0.011*\"araz\"\n", + "2019-01-31 00:36:45,474 : INFO : topic #45 (0.020): 0.021*\"jpg\" + 0.021*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:36:45,476 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.023*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:36:45,477 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"poet\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 00:36:45,482 : INFO : topic diff=0.006979, rho=0.040522\n", + "2019-01-31 00:36:48,134 : INFO : -11.796 per-word bound, 3557.0 perplexity estimate based on a held-out corpus of 2000 documents with 533248 words\n", + "2019-01-31 00:36:48,135 : INFO : PROGRESS: pass 0, at document #1220000/4922894\n", + "2019-01-31 00:36:49,527 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:49,794 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.028*\"hous\" + 0.020*\"rivièr\" + 0.018*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"constitut\" + 0.010*\"depress\"\n", + "2019-01-31 00:36:49,795 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.025*\"collector\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:36:49,796 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.021*\"spain\" + 0.020*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.012*\"lizard\" + 0.012*\"juan\" + 0.011*\"francisco\" + 0.011*\"santa\" + 0.011*\"carlo\"\n", + "2019-01-31 00:36:49,797 : INFO : topic #39 (0.020): 0.048*\"canada\" + 0.038*\"canadian\" + 0.021*\"toronto\" + 0.020*\"hoar\" + 0.019*\"ontario\" + 0.013*\"new\" + 0.012*\"hydrogen\" + 0.012*\"novotná\" + 0.011*\"misericordia\" + 0.010*\"araz\"\n", + "2019-01-31 00:36:49,799 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"armi\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"airmen\"\n", + "2019-01-31 00:36:49,805 : INFO : topic diff=0.007897, rho=0.040489\n", + "2019-01-31 00:36:49,958 : INFO : PROGRESS: pass 0, at document #1222000/4922894\n", + "2019-01-31 00:36:51,349 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:51,616 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.007*\"encyclopedia\" + 0.007*\"candid\" + 0.007*\"mandir\"\n", + "2019-01-31 00:36:51,617 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.033*\"incumb\" + 0.013*\"televis\" + 0.012*\"islam\" + 0.012*\"tajikistan\" + 0.012*\"anglo\" + 0.010*\"pakistan\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 00:36:51,619 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:36:51,620 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.028*\"cotton\" + 0.027*\"area\" + 0.025*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.018*\"commun\"\n", + "2019-01-31 00:36:51,621 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.030*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:36:51,626 : INFO : topic diff=0.005738, rho=0.040456\n", + "2019-01-31 00:36:51,787 : INFO : PROGRESS: pass 0, at document #1224000/4922894\n", + "2019-01-31 00:36:53,215 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:53,481 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.039*\"sovereignti\" + 0.035*\"rural\" + 0.023*\"personifi\" + 0.022*\"poison\" + 0.022*\"moscow\" + 0.021*\"reprint\" + 0.016*\"unfortun\" + 0.016*\"poland\" + 0.014*\"indonesia\"\n", + "2019-01-31 00:36:53,482 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:36:53,483 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 00:36:53,484 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.009*\"teufel\" + 0.008*\"empath\" + 0.008*\"till\" + 0.007*\"armi\" + 0.006*\"king\" + 0.006*\"militari\"\n", + "2019-01-31 00:36:53,486 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.030*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"year\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:36:53,491 : INFO : topic diff=0.006623, rho=0.040423\n", + "2019-01-31 00:36:53,644 : INFO : PROGRESS: pass 0, at document #1226000/4922894\n", + "2019-01-31 00:36:55,025 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:55,291 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"worldwid\" + 0.012*\"storag\" + 0.011*\"magazin\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:36:55,293 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:36:55,294 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.028*\"cotton\" + 0.026*\"area\" + 0.024*\"regim\" + 0.024*\"multitud\" + 0.022*\"citi\" + 0.018*\"commun\"\n", + "2019-01-31 00:36:55,295 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.032*\"incumb\" + 0.013*\"televis\" + 0.012*\"islam\" + 0.011*\"anglo\" + 0.011*\"tajikistan\" + 0.011*\"pakistan\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 00:36:55,296 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.041*\"american\" + 0.030*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:36:55,302 : INFO : topic diff=0.006572, rho=0.040390\n", + "2019-01-31 00:36:55,464 : INFO : PROGRESS: pass 0, at document #1228000/4922894\n", + "2019-01-31 00:36:56,899 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:57,165 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.070*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"festiv\" + 0.021*\"noll\" + 0.019*\"women\" + 0.019*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:36:57,166 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.025*\"collector\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:36:57,167 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"armi\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"diversifi\" + 0.013*\"militari\" + 0.011*\"airbu\"\n", + "2019-01-31 00:36:57,168 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.006*\"treat\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:36:57,169 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"warmth\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:36:57,175 : INFO : topic diff=0.007349, rho=0.040357\n", + "2019-01-31 00:36:57,334 : INFO : PROGRESS: pass 0, at document #1230000/4922894\n", + "2019-01-31 00:36:58,747 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:36:59,013 : INFO : topic #45 (0.020): 0.021*\"jpg\" + 0.020*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"hand\"\n", + "2019-01-31 00:36:59,014 : INFO : topic #48 (0.020): 0.078*\"octob\" + 0.077*\"march\" + 0.076*\"sens\" + 0.071*\"notion\" + 0.069*\"januari\" + 0.068*\"juli\" + 0.067*\"august\" + 0.066*\"decatur\" + 0.065*\"judici\" + 0.065*\"april\"\n", + "2019-01-31 00:36:59,016 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"bahá\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 00:36:59,017 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.022*\"cathol\" + 0.020*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.010*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:36:59,018 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.011*\"tajikistan\" + 0.011*\"pakistan\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"khalsa\"\n", + "2019-01-31 00:36:59,024 : INFO : topic diff=0.006716, rho=0.040324\n", + "2019-01-31 00:36:59,193 : INFO : PROGRESS: pass 0, at document #1232000/4922894\n", + "2019-01-31 00:37:00,678 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:00,945 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"armi\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"diversifi\" + 0.011*\"refut\"\n", + "2019-01-31 00:37:00,946 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.014*\"hostil\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:37:00,947 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:37:00,948 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"blue\" + 0.004*\"black\" + 0.004*\"septemb\" + 0.004*\"vision\" + 0.004*\"litig\" + 0.004*\"bewild\"\n", + "2019-01-31 00:37:00,949 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:37:00,955 : INFO : topic diff=0.005569, rho=0.040291\n", + "2019-01-31 00:37:01,113 : INFO : PROGRESS: pass 0, at document #1234000/4922894\n", + "2019-01-31 00:37:02,521 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:02,787 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"fleet\" + 0.010*\"bahá\" + 0.010*\"coalit\"\n", + "2019-01-31 00:37:02,788 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:37:02,789 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.024*\"collector\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:37:02,790 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:37:02,791 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"martin\" + 0.012*\"open\"\n", + "2019-01-31 00:37:02,797 : INFO : topic diff=0.006951, rho=0.040258\n", + "2019-01-31 00:37:02,953 : INFO : PROGRESS: pass 0, at document #1236000/4922894\n", + "2019-01-31 00:37:04,358 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:04,625 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.040*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:37:04,626 : INFO : topic #45 (0.020): 0.021*\"jpg\" + 0.020*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"hand\"\n", + "2019-01-31 00:37:04,628 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.020*\"mexico\" + 0.020*\"del\" + 0.014*\"soviet\" + 0.012*\"lizard\" + 0.012*\"juan\" + 0.011*\"mexican\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 00:37:04,629 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"task\" + 0.009*\"district\"\n", + "2019-01-31 00:37:04,630 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.013*\"israel\" + 0.013*\"berlin\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 00:37:04,636 : INFO : topic diff=0.006980, rho=0.040226\n", + "2019-01-31 00:37:04,788 : INFO : PROGRESS: pass 0, at document #1238000/4922894\n", + "2019-01-31 00:37:06,158 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:06,425 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.017*\"ricardo\" + 0.012*\"case\" + 0.011*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 00:37:06,427 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.053*\"parti\" + 0.023*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"report\" + 0.013*\"liber\" + 0.013*\"selma\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:37:06,428 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.022*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:37:06,429 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.036*\"raid\" + 0.031*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:37:06,431 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.022*\"cathol\" + 0.020*\"christian\" + 0.019*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.009*\"centuri\" + 0.009*\"monasteri\" + 0.009*\"relationship\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:37:06,437 : INFO : topic diff=0.006379, rho=0.040193\n", + "2019-01-31 00:37:09,131 : INFO : -11.836 per-word bound, 3654.9 perplexity estimate based on a held-out corpus of 2000 documents with 559726 words\n", + "2019-01-31 00:37:09,131 : INFO : PROGRESS: pass 0, at document #1240000/4922894\n", + "2019-01-31 00:37:10,521 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:10,788 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:37:10,789 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.039*\"line\" + 0.038*\"arsen\" + 0.036*\"raid\" + 0.030*\"museo\" + 0.021*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:37:10,790 : INFO : topic #36 (0.020): 0.013*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"serv\" + 0.008*\"oper\" + 0.008*\"softwar\" + 0.007*\"base\" + 0.007*\"diggin\"\n", + "2019-01-31 00:37:10,791 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.010*\"class\" + 0.010*\"coalit\"\n", + "2019-01-31 00:37:10,792 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.071*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.021*\"festiv\" + 0.019*\"intern\" + 0.019*\"women\" + 0.014*\"prison\"\n", + "2019-01-31 00:37:10,798 : INFO : topic diff=0.006861, rho=0.040161\n", + "2019-01-31 00:37:10,955 : INFO : PROGRESS: pass 0, at document #1242000/4922894\n", + "2019-01-31 00:37:12,359 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:12,628 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.021*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:37:12,629 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.014*\"driver\" + 0.012*\"find\" + 0.012*\"ret\" + 0.011*\"landslid\" + 0.010*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:37:12,631 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"commun\" + 0.010*\"develop\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:37:12,632 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:37:12,633 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 00:37:12,639 : INFO : topic diff=0.005765, rho=0.040129\n", + "2019-01-31 00:37:12,808 : INFO : PROGRESS: pass 0, at document #1244000/4922894\n", + "2019-01-31 00:37:14,259 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:14,525 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.014*\"driver\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"landslid\" + 0.010*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:37:14,527 : INFO : topic #29 (0.020): 0.021*\"companhia\" + 0.011*\"million\" + 0.010*\"bank\" + 0.010*\"busi\" + 0.008*\"market\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.007*\"manag\" + 0.007*\"govern\" + 0.007*\"produc\"\n", + "2019-01-31 00:37:14,528 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:37:14,529 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:37:14,530 : INFO : topic #39 (0.020): 0.048*\"canada\" + 0.037*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.014*\"new\" + 0.012*\"novotná\" + 0.012*\"misericordia\" + 0.012*\"hydrogen\" + 0.011*\"quebec\"\n", + "2019-01-31 00:37:14,536 : INFO : topic diff=0.007045, rho=0.040096\n", + "2019-01-31 00:37:14,747 : INFO : PROGRESS: pass 0, at document #1246000/4922894\n", + "2019-01-31 00:37:16,160 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:16,426 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.040*\"line\" + 0.037*\"arsen\" + 0.037*\"raid\" + 0.030*\"museo\" + 0.021*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:37:16,427 : INFO : topic #16 (0.020): 0.047*\"king\" + 0.030*\"priest\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.019*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.016*\"brazil\" + 0.015*\"portugues\" + 0.015*\"rotterdam\" + 0.013*\"portrait\"\n", + "2019-01-31 00:37:16,428 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.029*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"hungarian\"\n", + "2019-01-31 00:37:16,429 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"armi\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airmen\"\n", + "2019-01-31 00:37:16,430 : INFO : topic #36 (0.020): 0.013*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"serv\" + 0.008*\"oper\" + 0.007*\"softwar\" + 0.007*\"base\" + 0.007*\"diggin\"\n", + "2019-01-31 00:37:16,436 : INFO : topic diff=0.006898, rho=0.040064\n", + "2019-01-31 00:37:16,593 : INFO : PROGRESS: pass 0, at document #1248000/4922894\n", + "2019-01-31 00:37:17,998 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:18,264 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.038*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.013*\"new\" + 0.012*\"misericordia\" + 0.012*\"novotná\" + 0.012*\"hydrogen\" + 0.011*\"quebec\"\n", + "2019-01-31 00:37:18,265 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"king\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:37:18,266 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:37:18,267 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:37:18,268 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.034*\"unionist\" + 0.031*\"american\" + 0.030*\"cotton\" + 0.027*\"new\" + 0.015*\"year\" + 0.015*\"warrior\" + 0.014*\"california\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:37:18,274 : INFO : topic diff=0.006420, rho=0.040032\n", + "2019-01-31 00:37:18,428 : INFO : PROGRESS: pass 0, at document #1250000/4922894\n", + "2019-01-31 00:37:19,796 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:20,062 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.038*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.013*\"new\" + 0.012*\"misericordia\" + 0.012*\"novotná\" + 0.012*\"hydrogen\" + 0.011*\"quebec\"\n", + "2019-01-31 00:37:20,063 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"king\" + 0.006*\"militari\" + 0.006*\"till\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:37:20,065 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:37:20,066 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:37:20,067 : INFO : topic #11 (0.020): 0.027*\"john\" + 0.015*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:37:20,073 : INFO : topic diff=0.007088, rho=0.040000\n", + "2019-01-31 00:37:20,227 : INFO : PROGRESS: pass 0, at document #1252000/4922894\n", + "2019-01-31 00:37:21,613 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:21,880 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.024*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.016*\"com\" + 0.014*\"oper\" + 0.013*\"refut\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\"\n", + "2019-01-31 00:37:21,881 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"poet\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"measur\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"utopian\"\n", + "2019-01-31 00:37:21,882 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.016*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:37:21,883 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"swedish\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.016*\"norwegian\" + 0.015*\"damag\" + 0.014*\"wind\" + 0.013*\"turkish\" + 0.012*\"replac\" + 0.011*\"denmark\"\n", + "2019-01-31 00:37:21,884 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.040*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:37:21,890 : INFO : topic diff=0.007750, rho=0.039968\n", + "2019-01-31 00:37:22,041 : INFO : PROGRESS: pass 0, at document #1254000/4922894\n", + "2019-01-31 00:37:23,398 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:23,664 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.020*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"atheist\" + 0.017*\"taxpay\"\n", + "2019-01-31 00:37:23,665 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"produc\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\"\n", + "2019-01-31 00:37:23,666 : INFO : topic #36 (0.020): 0.013*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"oper\" + 0.008*\"serv\" + 0.008*\"softwar\" + 0.007*\"base\" + 0.007*\"user\"\n", + "2019-01-31 00:37:23,667 : INFO : topic #16 (0.020): 0.047*\"king\" + 0.030*\"priest\" + 0.019*\"grammat\" + 0.019*\"quarterli\" + 0.018*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"brazil\" + 0.015*\"portugues\" + 0.015*\"rotterdam\" + 0.013*\"kingdom\"\n", + "2019-01-31 00:37:23,668 : INFO : topic #45 (0.020): 0.023*\"jpg\" + 0.022*\"fifteenth\" + 0.018*\"colder\" + 0.017*\"illicit\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:37:23,674 : INFO : topic diff=0.008235, rho=0.039936\n", + "2019-01-31 00:37:23,830 : INFO : PROGRESS: pass 0, at document #1256000/4922894\n", + "2019-01-31 00:37:25,208 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:25,474 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.037*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:37:25,475 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"king\" + 0.006*\"militari\"\n", + "2019-01-31 00:37:25,477 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.039*\"sovereignti\" + 0.036*\"rural\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.021*\"moscow\" + 0.021*\"personifi\" + 0.017*\"unfortun\" + 0.015*\"poland\" + 0.015*\"czech\"\n", + "2019-01-31 00:37:25,478 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"poet\" + 0.007*\"frontal\" + 0.007*\"measur\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 00:37:25,479 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:37:25,485 : INFO : topic diff=0.006499, rho=0.039904\n", + "2019-01-31 00:37:25,638 : INFO : PROGRESS: pass 0, at document #1258000/4922894\n", + "2019-01-31 00:37:27,024 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:27,290 : INFO : topic #1 (0.020): 0.059*\"china\" + 0.051*\"chilton\" + 0.021*\"hong\" + 0.021*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.014*\"leah\" + 0.014*\"sourc\" + 0.013*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 00:37:27,291 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"lanewai\" + 0.010*\"genu\" + 0.010*\"live\"\n", + "2019-01-31 00:37:27,292 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"landslid\" + 0.010*\"théori\"\n", + "2019-01-31 00:37:27,293 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"collector\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:37:27,295 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"poet\" + 0.007*\"measur\" + 0.007*\"frontal\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 00:37:27,300 : INFO : topic diff=0.006583, rho=0.039873\n", + "2019-01-31 00:37:29,994 : INFO : -11.621 per-word bound, 3150.0 perplexity estimate based on a held-out corpus of 2000 documents with 547150 words\n", + "2019-01-31 00:37:29,994 : INFO : PROGRESS: pass 0, at document #1260000/4922894\n", + "2019-01-31 00:37:31,388 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:31,655 : INFO : topic #36 (0.020): 0.014*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"serv\" + 0.008*\"oper\" + 0.008*\"softwar\" + 0.007*\"base\" + 0.007*\"diggin\"\n", + "2019-01-31 00:37:31,656 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.012*\"folei\" + 0.009*\"yawn\" + 0.009*\"barber\"\n", + "2019-01-31 00:37:31,657 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:37:31,658 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"bahá\" + 0.010*\"fleet\"\n", + "2019-01-31 00:37:31,660 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.006*\"till\" + 0.006*\"centuri\"\n", + "2019-01-31 00:37:31,665 : INFO : topic diff=0.005669, rho=0.039841\n", + "2019-01-31 00:37:31,820 : INFO : PROGRESS: pass 0, at document #1262000/4922894\n", + "2019-01-31 00:37:33,216 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:33,483 : INFO : topic #1 (0.020): 0.059*\"china\" + 0.052*\"chilton\" + 0.021*\"hong\" + 0.020*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.014*\"sourc\" + 0.014*\"leah\" + 0.013*\"ashvil\" + 0.013*\"shirin\"\n", + "2019-01-31 00:37:33,484 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"activ\"\n", + "2019-01-31 00:37:33,485 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.029*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:37:33,486 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"alic\" + 0.018*\"nation\"\n", + "2019-01-31 00:37:33,487 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"poet\" + 0.007*\"measur\" + 0.007*\"frontal\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 00:37:33,493 : INFO : topic diff=0.006252, rho=0.039809\n", + "2019-01-31 00:37:33,647 : INFO : PROGRESS: pass 0, at document #1264000/4922894\n", + "2019-01-31 00:37:35,048 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:35,315 : INFO : topic #43 (0.020): 0.060*\"elect\" + 0.054*\"parti\" + 0.023*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.018*\"conserv\" + 0.017*\"liber\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.013*\"report\"\n", + "2019-01-31 00:37:35,316 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:37:35,317 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.006*\"comic\" + 0.004*\"septemb\" + 0.004*\"vision\" + 0.004*\"litig\" + 0.004*\"black\" + 0.004*\"charact\"\n", + "2019-01-31 00:37:35,318 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"driver\" + 0.013*\"find\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.011*\"landslid\" + 0.011*\"fool\" + 0.010*\"horac\"\n", + "2019-01-31 00:37:35,319 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.025*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.018*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:37:35,325 : INFO : topic diff=0.005921, rho=0.039778\n", + "2019-01-31 00:37:35,482 : INFO : PROGRESS: pass 0, at document #1266000/4922894\n", + "2019-01-31 00:37:36,890 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:37,156 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.009*\"depress\"\n", + "2019-01-31 00:37:37,157 : INFO : topic #45 (0.020): 0.023*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"green\" + 0.007*\"hand\"\n", + "2019-01-31 00:37:37,158 : INFO : topic #31 (0.020): 0.061*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"taxpay\" + 0.023*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"barber\"\n", + "2019-01-31 00:37:37,159 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.006*\"proper\" + 0.006*\"pathwai\" + 0.006*\"treat\" + 0.005*\"effect\"\n", + "2019-01-31 00:37:37,160 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.013*\"juan\" + 0.012*\"lizard\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.011*\"mexican\"\n", + "2019-01-31 00:37:37,166 : INFO : topic diff=0.006054, rho=0.039746\n", + "2019-01-31 00:37:37,327 : INFO : PROGRESS: pass 0, at document #1268000/4922894\n", + "2019-01-31 00:37:38,704 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:38,970 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"task\" + 0.008*\"gothic\"\n", + "2019-01-31 00:37:38,972 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.016*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:37:38,973 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.015*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:37:38,974 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.019*\"mexico\" + 0.019*\"del\" + 0.014*\"soviet\" + 0.013*\"juan\" + 0.011*\"lizard\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.010*\"mexican\"\n", + "2019-01-31 00:37:38,975 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.015*\"jewish\" + 0.014*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"hungarian\"\n", + "2019-01-31 00:37:38,981 : INFO : topic diff=0.006868, rho=0.039715\n", + "2019-01-31 00:37:39,136 : INFO : PROGRESS: pass 0, at document #1270000/4922894\n", + "2019-01-31 00:37:40,521 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:40,788 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.004*\"septemb\" + 0.004*\"vision\" + 0.004*\"litig\" + 0.004*\"black\" + 0.004*\"dixi\"\n", + "2019-01-31 00:37:40,789 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.016*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:37:40,790 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.018*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"weekli\"\n", + "2019-01-31 00:37:40,791 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"find\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.011*\"landslid\" + 0.011*\"fool\" + 0.010*\"horac\"\n", + "2019-01-31 00:37:40,792 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.039*\"sovereignti\" + 0.038*\"rural\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.016*\"unfortun\" + 0.016*\"poland\" + 0.015*\"czech\"\n", + "2019-01-31 00:37:40,798 : INFO : topic diff=0.006453, rho=0.039684\n", + "2019-01-31 00:37:40,953 : INFO : PROGRESS: pass 0, at document #1272000/4922894\n", + "2019-01-31 00:37:42,340 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:42,605 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.010*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:37:42,607 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.031*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\" + 0.017*\"nation\"\n", + "2019-01-31 00:37:42,608 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.076*\"octob\" + 0.074*\"sens\" + 0.072*\"januari\" + 0.072*\"juli\" + 0.068*\"judici\" + 0.068*\"notion\" + 0.068*\"april\" + 0.066*\"decatur\" + 0.066*\"august\"\n", + "2019-01-31 00:37:42,609 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.015*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:37:42,610 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"like\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:37:42,616 : INFO : topic diff=0.005854, rho=0.039653\n", + "2019-01-31 00:37:42,773 : INFO : PROGRESS: pass 0, at document #1274000/4922894\n", + "2019-01-31 00:37:44,234 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:44,500 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.040*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:37:44,502 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:37:44,503 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.010*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.007*\"trade\" + 0.007*\"uruguayan\" + 0.007*\"like\" + 0.006*\"god\"\n", + "2019-01-31 00:37:44,504 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.032*\"unionist\" + 0.030*\"american\" + 0.030*\"cotton\" + 0.027*\"new\" + 0.015*\"year\" + 0.014*\"california\" + 0.014*\"warrior\" + 0.013*\"north\" + 0.012*\"terri\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:37:44,505 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.014*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:37:44,511 : INFO : topic diff=0.005050, rho=0.039621\n", + "2019-01-31 00:37:44,672 : INFO : PROGRESS: pass 0, at document #1276000/4922894\n", + "2019-01-31 00:37:46,089 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:46,356 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:37:46,357 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"produc\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.006*\"encyclopedia\"\n", + "2019-01-31 00:37:46,358 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.009*\"depress\"\n", + "2019-01-31 00:37:46,359 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"commun\" + 0.010*\"develop\" + 0.010*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:37:46,360 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"refut\" + 0.012*\"airbu\" + 0.012*\"militari\"\n", + "2019-01-31 00:37:46,366 : INFO : topic diff=0.007411, rho=0.039590\n", + "2019-01-31 00:37:46,524 : INFO : PROGRESS: pass 0, at document #1278000/4922894\n", + "2019-01-31 00:37:47,921 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:48,187 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.040*\"line\" + 0.039*\"raid\" + 0.038*\"arsen\" + 0.030*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.014*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:37:48,189 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.025*\"jean\" + 0.023*\"sail\" + 0.019*\"daphn\" + 0.014*\"loui\" + 0.014*\"lazi\" + 0.013*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 00:37:48,190 : INFO : topic #45 (0.020): 0.024*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.007*\"light\" + 0.007*\"hand\"\n", + "2019-01-31 00:37:48,191 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"dai\"\n", + "2019-01-31 00:37:48,192 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.020*\"govern\" + 0.020*\"nation\" + 0.020*\"serv\" + 0.019*\"member\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:37:48,198 : INFO : topic diff=0.006415, rho=0.039559\n", + "2019-01-31 00:37:51,004 : INFO : -11.563 per-word bound, 3026.2 perplexity estimate based on a held-out corpus of 2000 documents with 579201 words\n", + "2019-01-31 00:37:51,005 : INFO : PROGRESS: pass 0, at document #1280000/4922894\n", + "2019-01-31 00:37:52,414 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:52,680 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.009*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:37:52,681 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.010*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.007*\"trade\" + 0.007*\"god\" + 0.007*\"uruguayan\" + 0.007*\"english\"\n", + "2019-01-31 00:37:52,682 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.038*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.013*\"new\" + 0.013*\"hydrogen\" + 0.013*\"novotná\" + 0.012*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:37:52,684 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.006*\"comic\" + 0.005*\"septemb\" + 0.004*\"vision\" + 0.004*\"litig\" + 0.004*\"dixi\" + 0.004*\"charact\"\n", + "2019-01-31 00:37:52,685 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"damag\" + 0.018*\"swedish\" + 0.016*\"norwai\" + 0.015*\"sweden\" + 0.015*\"norwegian\" + 0.014*\"replac\" + 0.013*\"wind\" + 0.012*\"financ\" + 0.012*\"ton\"\n", + "2019-01-31 00:37:52,690 : INFO : topic diff=0.007558, rho=0.039528\n", + "2019-01-31 00:37:52,843 : INFO : PROGRESS: pass 0, at document #1282000/4922894\n", + "2019-01-31 00:37:54,203 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:54,468 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.007*\"till\" + 0.006*\"king\"\n", + "2019-01-31 00:37:54,469 : INFO : topic #45 (0.020): 0.023*\"jpg\" + 0.022*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:37:54,470 : INFO : topic #1 (0.020): 0.059*\"china\" + 0.048*\"chilton\" + 0.022*\"hong\" + 0.021*\"kong\" + 0.019*\"korea\" + 0.016*\"korean\" + 0.014*\"leah\" + 0.014*\"shirin\" + 0.013*\"sourc\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:37:54,472 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.006*\"treat\" + 0.006*\"hormon\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:37:54,473 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.032*\"unionist\" + 0.030*\"cotton\" + 0.030*\"american\" + 0.027*\"new\" + 0.015*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"north\" + 0.013*\"terri\"\n", + "2019-01-31 00:37:54,479 : INFO : topic diff=0.006323, rho=0.039498\n", + "2019-01-31 00:37:54,633 : INFO : PROGRESS: pass 0, at document #1284000/4922894\n", + "2019-01-31 00:37:56,030 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:56,296 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.019*\"place\" + 0.017*\"damn\" + 0.017*\"compos\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:37:56,297 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.038*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.014*\"new\" + 0.013*\"hydrogen\" + 0.012*\"novotná\" + 0.012*\"misericordia\" + 0.011*\"quebec\"\n", + "2019-01-31 00:37:56,298 : INFO : topic #43 (0.020): 0.061*\"elect\" + 0.054*\"parti\" + 0.023*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.015*\"conserv\" + 0.014*\"seaport\" + 0.014*\"selma\"\n", + "2019-01-31 00:37:56,299 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:37:56,301 : INFO : topic #29 (0.020): 0.021*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"bank\" + 0.008*\"market\" + 0.008*\"yawn\" + 0.007*\"industri\" + 0.007*\"manag\" + 0.007*\"govern\" + 0.007*\"produc\"\n", + "2019-01-31 00:37:56,306 : INFO : topic diff=0.006903, rho=0.039467\n", + "2019-01-31 00:37:56,460 : INFO : PROGRESS: pass 0, at document #1286000/4922894\n", + "2019-01-31 00:37:57,853 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:58,120 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:37:58,121 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 00:37:58,122 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:37:58,123 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"damag\" + 0.017*\"swedish\" + 0.015*\"norwai\" + 0.015*\"sweden\" + 0.015*\"norwegian\" + 0.014*\"replac\" + 0.013*\"wind\" + 0.012*\"financ\" + 0.011*\"turkish\"\n", + "2019-01-31 00:37:58,124 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:37:58,130 : INFO : topic diff=0.006142, rho=0.039436\n", + "2019-01-31 00:37:58,282 : INFO : PROGRESS: pass 0, at document #1288000/4922894\n", + "2019-01-31 00:37:59,645 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:37:59,911 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 00:37:59,912 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.006*\"caus\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"hormon\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:37:59,913 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"damag\" + 0.017*\"swedish\" + 0.015*\"norwai\" + 0.015*\"sweden\" + 0.014*\"norwegian\" + 0.014*\"replac\" + 0.013*\"wind\" + 0.012*\"financ\" + 0.011*\"turkish\"\n", + "2019-01-31 00:37:59,914 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.012*\"muskoge\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"alam\" + 0.010*\"khalsa\" + 0.009*\"start\"\n", + "2019-01-31 00:37:59,916 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"area\" + 0.017*\"lagrang\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:37:59,921 : INFO : topic diff=0.006987, rho=0.039406\n", + "2019-01-31 00:38:00,077 : INFO : PROGRESS: pass 0, at document #1290000/4922894\n", + "2019-01-31 00:38:01,468 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:01,734 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"have\" + 0.006*\"proper\" + 0.006*\"hormon\" + 0.006*\"effect\"\n", + "2019-01-31 00:38:01,735 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.012*\"muskoge\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"alam\" + 0.010*\"khalsa\" + 0.009*\"start\"\n", + "2019-01-31 00:38:01,736 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.022*\"christian\" + 0.021*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:38:01,737 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"area\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"north\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:38:01,739 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.010*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:38:01,744 : INFO : topic diff=0.005685, rho=0.039375\n", + "2019-01-31 00:38:01,904 : INFO : PROGRESS: pass 0, at document #1292000/4922894\n", + "2019-01-31 00:38:03,329 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:03,595 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.018*\"dutch\" + 0.018*\"polit\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"english\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:38:03,596 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 00:38:03,597 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.014*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:38:03,598 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.040*\"line\" + 0.037*\"raid\" + 0.037*\"arsen\" + 0.029*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.014*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:38:03,600 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 00:38:03,605 : INFO : topic diff=0.006066, rho=0.039344\n", + "2019-01-31 00:38:03,765 : INFO : PROGRESS: pass 0, at document #1294000/4922894\n", + "2019-01-31 00:38:05,180 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:05,447 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.016*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:38:05,449 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"veget\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.007*\"produc\" + 0.007*\"turn\" + 0.007*\"uruguayan\" + 0.007*\"candid\"\n", + "2019-01-31 00:38:05,450 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.021*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"class\" + 0.009*\"district\"\n", + "2019-01-31 00:38:05,451 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.024*\"jean\" + 0.024*\"sail\" + 0.018*\"daphn\" + 0.015*\"loui\" + 0.014*\"lazi\" + 0.012*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 00:38:05,452 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.010*\"televis\" + 0.010*\"alam\" + 0.010*\"khalsa\" + 0.009*\"start\"\n", + "2019-01-31 00:38:05,458 : INFO : topic diff=0.005902, rho=0.039314\n", + "2019-01-31 00:38:05,614 : INFO : PROGRESS: pass 0, at document #1296000/4922894\n", + "2019-01-31 00:38:07,015 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:07,281 : INFO : topic #9 (0.020): 0.065*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.018*\"dutch\" + 0.018*\"polit\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"english\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:38:07,282 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:38:07,283 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 00:38:07,284 : INFO : topic #29 (0.020): 0.021*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"bank\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.007*\"industri\" + 0.007*\"produc\" + 0.007*\"manag\" + 0.007*\"govern\"\n", + "2019-01-31 00:38:07,285 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.018*\"stop\" + 0.017*\"damag\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.015*\"sweden\" + 0.013*\"replac\" + 0.013*\"wind\" + 0.012*\"financ\" + 0.012*\"treeless\"\n", + "2019-01-31 00:38:07,291 : INFO : topic diff=0.006657, rho=0.039284\n", + "2019-01-31 00:38:07,442 : INFO : PROGRESS: pass 0, at document #1298000/4922894\n", + "2019-01-31 00:38:08,799 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:09,065 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.031*\"incumb\" + 0.015*\"islam\" + 0.012*\"muskoge\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.010*\"televis\" + 0.010*\"alam\" + 0.010*\"tajikistan\" + 0.010*\"khalsa\"\n", + "2019-01-31 00:38:09,066 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:38:09,067 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.037*\"sovereignti\" + 0.036*\"rural\" + 0.027*\"personifi\" + 0.023*\"reprint\" + 0.023*\"poison\" + 0.019*\"moscow\" + 0.017*\"alexand\" + 0.016*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:38:09,068 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"norwai\" + 0.016*\"damag\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.015*\"sweden\" + 0.013*\"replac\" + 0.013*\"wind\" + 0.012*\"treeless\" + 0.011*\"financ\"\n", + "2019-01-31 00:38:09,069 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.012*\"open\"\n", + "2019-01-31 00:38:09,075 : INFO : topic diff=0.006940, rho=0.039253\n", + "2019-01-31 00:38:11,725 : INFO : -11.695 per-word bound, 3315.3 perplexity estimate based on a held-out corpus of 2000 documents with 525577 words\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:38:11,726 : INFO : PROGRESS: pass 0, at document #1300000/4922894\n", + "2019-01-31 00:38:13,089 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:13,355 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.014*\"prognosi\" + 0.011*\"gothic\" + 0.009*\"class\" + 0.009*\"task\"\n", + "2019-01-31 00:38:13,356 : INFO : topic #29 (0.020): 0.021*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"bank\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.008*\"function\" + 0.007*\"manag\" + 0.007*\"industri\" + 0.007*\"produc\"\n", + "2019-01-31 00:38:13,357 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.022*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.008*\"historiographi\"\n", + "2019-01-31 00:38:13,358 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.031*\"incumb\" + 0.015*\"islam\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.010*\"televis\" + 0.010*\"alam\" + 0.010*\"khalsa\" + 0.010*\"tajikistan\"\n", + "2019-01-31 00:38:13,359 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.014*\"soviet\" + 0.013*\"juan\" + 0.011*\"lizard\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.011*\"francisco\"\n", + "2019-01-31 00:38:13,365 : INFO : topic diff=0.006368, rho=0.039223\n", + "2019-01-31 00:38:13,519 : INFO : PROGRESS: pass 0, at document #1302000/4922894\n", + "2019-01-31 00:38:14,902 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:15,168 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.012*\"muskoge\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"alam\" + 0.010*\"khalsa\" + 0.010*\"televis\" + 0.010*\"tajikistan\"\n", + "2019-01-31 00:38:15,170 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.012*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:38:15,171 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"govern\" + 0.021*\"nation\" + 0.019*\"member\" + 0.019*\"serv\" + 0.018*\"gener\" + 0.016*\"chickasaw\" + 0.016*\"seri\"\n", + "2019-01-31 00:38:15,172 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"man\"\n", + "2019-01-31 00:38:15,174 : INFO : topic #36 (0.020): 0.013*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.007*\"serv\" + 0.007*\"user\" + 0.007*\"diggin\" + 0.007*\"base\" + 0.007*\"brio\"\n", + "2019-01-31 00:38:15,179 : INFO : topic diff=0.005951, rho=0.039193\n", + "2019-01-31 00:38:15,334 : INFO : PROGRESS: pass 0, at document #1304000/4922894\n", + "2019-01-31 00:38:16,716 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:16,982 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:38:16,983 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"govern\" + 0.021*\"nation\" + 0.019*\"member\" + 0.019*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:38:16,985 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.023*\"folei\" + 0.017*\"goal\" + 0.014*\"martin\" + 0.011*\"player\"\n", + "2019-01-31 00:38:16,986 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.011*\"alam\" + 0.011*\"televis\" + 0.010*\"khalsa\" + 0.009*\"tajikistan\"\n", + "2019-01-31 00:38:16,987 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.017*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:38:16,993 : INFO : topic diff=0.005795, rho=0.039163\n", + "2019-01-31 00:38:17,148 : INFO : PROGRESS: pass 0, at document #1306000/4922894\n", + "2019-01-31 00:38:18,544 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:18,814 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.014*\"prognosi\" + 0.011*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:38:18,816 : INFO : topic #35 (0.020): 0.053*\"russia\" + 0.037*\"sovereignti\" + 0.035*\"rural\" + 0.027*\"personifi\" + 0.023*\"reprint\" + 0.023*\"poison\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"alexand\"\n", + "2019-01-31 00:38:18,817 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.029*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:38:18,818 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"hormon\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:38:18,819 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"line\" + 0.037*\"arsen\" + 0.036*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"artist\"\n", + "2019-01-31 00:38:18,825 : INFO : topic diff=0.005368, rho=0.039133\n", + "2019-01-31 00:38:18,981 : INFO : PROGRESS: pass 0, at document #1308000/4922894\n", + "2019-01-31 00:38:20,377 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:20,643 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.032*\"unionist\" + 0.031*\"cotton\" + 0.030*\"american\" + 0.027*\"new\" + 0.015*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:38:20,644 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"hormon\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:38:20,645 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.021*\"nation\" + 0.019*\"member\" + 0.019*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:38:20,647 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.018*\"dutch\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.016*\"player\" + 0.016*\"english\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:38:20,648 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.010*\"linear\" + 0.010*\"highland\"\n", + "2019-01-31 00:38:20,654 : INFO : topic diff=0.005020, rho=0.039103\n", + "2019-01-31 00:38:20,869 : INFO : PROGRESS: pass 0, at document #1310000/4922894\n", + "2019-01-31 00:38:22,280 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:22,547 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"worldwid\" + 0.012*\"nicola\" + 0.011*\"collect\"\n", + "2019-01-31 00:38:22,549 : INFO : topic #43 (0.020): 0.061*\"elect\" + 0.054*\"parti\" + 0.023*\"democrat\" + 0.023*\"voluntari\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"liber\" + 0.015*\"republ\" + 0.014*\"selma\" + 0.014*\"seaport\"\n", + "2019-01-31 00:38:22,550 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"septemb\" + 0.004*\"appear\" + 0.004*\"vision\" + 0.004*\"charact\" + 0.004*\"litig\"\n", + "2019-01-31 00:38:22,551 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:38:22,552 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:38:22,558 : INFO : topic diff=0.006056, rho=0.039073\n", + "2019-01-31 00:38:22,712 : INFO : PROGRESS: pass 0, at document #1312000/4922894\n", + "2019-01-31 00:38:24,099 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:38:24,365 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"dioces\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:38:24,366 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.037*\"arsen\" + 0.035*\"raid\" + 0.030*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"artist\"\n", + "2019-01-31 00:38:24,367 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.039*\"rural\" + 0.037*\"sovereignti\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.022*\"poison\" + 0.021*\"moscow\" + 0.016*\"unfortun\" + 0.016*\"poland\" + 0.016*\"alexand\"\n", + "2019-01-31 00:38:24,368 : INFO : topic #16 (0.020): 0.047*\"king\" + 0.033*\"priest\" + 0.020*\"duke\" + 0.020*\"quarterli\" + 0.018*\"grammat\" + 0.018*\"idiosyncrat\" + 0.015*\"rotterdam\" + 0.015*\"brazil\" + 0.014*\"princ\" + 0.013*\"portugues\"\n", + "2019-01-31 00:38:24,369 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.019*\"yawn\" + 0.014*\"prognosi\" + 0.011*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:38:24,376 : INFO : topic diff=0.006993, rho=0.039043\n", + "2019-01-31 00:38:24,533 : INFO : PROGRESS: pass 0, at document #1314000/4922894\n", + "2019-01-31 00:38:25,919 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:26,185 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.040*\"line\" + 0.037*\"arsen\" + 0.035*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"artist\"\n", + "2019-01-31 00:38:26,186 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 00:38:26,187 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"worldwid\" + 0.012*\"nicola\" + 0.011*\"collect\"\n", + "2019-01-31 00:38:26,189 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"live\" + 0.009*\"yawn\"\n", + "2019-01-31 00:38:26,190 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.012*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"alam\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.009*\"tajikistan\"\n", + "2019-01-31 00:38:26,196 : INFO : topic diff=0.006283, rho=0.039014\n", + "2019-01-31 00:38:26,363 : INFO : PROGRESS: pass 0, at document #1316000/4922894\n", + "2019-01-31 00:38:27,776 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:28,045 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.006*\"king\" + 0.006*\"till\"\n", + "2019-01-31 00:38:28,047 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"produc\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\" + 0.007*\"turn\"\n", + "2019-01-31 00:38:28,048 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"dioces\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:38:28,049 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"centuri\" + 0.010*\"form\" + 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.007*\"trade\" + 0.007*\"god\" + 0.007*\"like\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:38:28,050 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.017*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:38:28,056 : INFO : topic diff=0.007139, rho=0.038984\n", + "2019-01-31 00:38:28,211 : INFO : PROGRESS: pass 0, at document #1318000/4922894\n", + "2019-01-31 00:38:29,620 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:29,886 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.021*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"dioces\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.008*\"poll\"\n", + "2019-01-31 00:38:29,887 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:38:29,888 : INFO : topic #42 (0.020): 0.043*\"german\" + 0.029*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.013*\"berlin\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"isra\"\n", + "2019-01-31 00:38:29,889 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.040*\"line\" + 0.038*\"arsen\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"artist\"\n", + "2019-01-31 00:38:29,890 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"poet\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"exampl\" + 0.006*\"method\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 00:38:29,896 : INFO : topic diff=0.005803, rho=0.038954\n", + "2019-01-31 00:38:32,569 : INFO : -11.792 per-word bound, 3546.0 perplexity estimate based on a held-out corpus of 2000 documents with 529492 words\n", + "2019-01-31 00:38:32,570 : INFO : PROGRESS: pass 0, at document #1320000/4922894\n", + "2019-01-31 00:38:33,951 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:34,217 : INFO : topic #26 (0.020): 0.034*\"workplac\" + 0.031*\"champion\" + 0.025*\"olymp\" + 0.025*\"woman\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"atheist\" + 0.018*\"gold\"\n", + "2019-01-31 00:38:34,218 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"poet\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 00:38:34,219 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.019*\"yawn\" + 0.014*\"prognosi\" + 0.011*\"gothic\" + 0.009*\"class\" + 0.009*\"district\"\n", + "2019-01-31 00:38:34,220 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"briarwood\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:38:34,221 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"produc\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\" + 0.007*\"develop\"\n", + "2019-01-31 00:38:34,227 : INFO : topic diff=0.006061, rho=0.038925\n", + "2019-01-31 00:38:34,387 : INFO : PROGRESS: pass 0, at document #1322000/4922894\n", + "2019-01-31 00:38:35,801 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:36,067 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.039*\"canadian\" + 0.021*\"hoar\" + 0.020*\"toronto\" + 0.017*\"ontario\" + 0.014*\"hydrogen\" + 0.013*\"novotná\" + 0.013*\"new\" + 0.011*\"misericordia\" + 0.011*\"quebec\"\n", + "2019-01-31 00:38:36,068 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"linear\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:38:36,069 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.042*\"tortur\" + 0.031*\"cotton\" + 0.026*\"area\" + 0.023*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:38:36,070 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:38:36,071 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.041*\"line\" + 0.038*\"arsen\" + 0.034*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"gai\"\n", + "2019-01-31 00:38:36,077 : INFO : topic diff=0.005934, rho=0.038895\n", + "2019-01-31 00:38:36,231 : INFO : PROGRESS: pass 0, at document #1324000/4922894\n", + "2019-01-31 00:38:37,615 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:38:37,881 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"rural\" + 0.037*\"sovereignti\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.022*\"poison\" + 0.021*\"moscow\" + 0.015*\"unfortun\" + 0.015*\"poland\" + 0.014*\"alexand\"\n", + "2019-01-31 00:38:37,882 : INFO : topic #45 (0.020): 0.023*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"colder\" + 0.016*\"illicit\" + 0.016*\"western\" + 0.015*\"black\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:38:37,883 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"method\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"exampl\" + 0.006*\"servitud\"\n", + "2019-01-31 00:38:37,884 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:38:37,885 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.011*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.011*\"televis\" + 0.011*\"alam\" + 0.010*\"khalsa\" + 0.010*\"tajikistan\"\n", + "2019-01-31 00:38:37,891 : INFO : topic diff=0.006710, rho=0.038866\n", + "2019-01-31 00:38:38,045 : INFO : PROGRESS: pass 0, at document #1326000/4922894\n", + "2019-01-31 00:38:39,436 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:39,702 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.009*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:38:39,703 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.044*\"american\" + 0.029*\"valour\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.018*\"dutch\" + 0.017*\"player\" + 0.015*\"english\" + 0.012*\"simpler\" + 0.011*\"surnam\"\n", + "2019-01-31 00:38:39,705 : INFO : topic #46 (0.020): 0.021*\"stop\" + 0.018*\"damag\" + 0.016*\"norwai\" + 0.015*\"replac\" + 0.015*\"swedish\" + 0.015*\"wind\" + 0.013*\"treeless\" + 0.013*\"sweden\" + 0.013*\"norwegian\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:38:39,706 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.011*\"alam\" + 0.010*\"khalsa\" + 0.010*\"tajikistan\"\n", + "2019-01-31 00:38:39,707 : INFO : topic #31 (0.020): 0.059*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"player\" + 0.025*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:38:39,713 : INFO : topic diff=0.007468, rho=0.038837\n", + "2019-01-31 00:38:39,870 : INFO : PROGRESS: pass 0, at document #1328000/4922894\n", + "2019-01-31 00:38:41,274 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:41,543 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:38:41,544 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"district\" + 0.009*\"class\"\n", + "2019-01-31 00:38:41,545 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.024*\"christian\" + 0.021*\"bishop\" + 0.021*\"cathol\" + 0.015*\"sail\" + 0.014*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"centuri\" + 0.009*\"dioces\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:38:41,546 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.018*\"dutch\" + 0.017*\"player\" + 0.015*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:38:41,547 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.007*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"hormon\" + 0.006*\"proper\"\n", + "2019-01-31 00:38:41,553 : INFO : topic diff=0.006012, rho=0.038808\n", + "2019-01-31 00:38:41,705 : INFO : PROGRESS: pass 0, at document #1330000/4922894\n", + "2019-01-31 00:38:43,051 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:43,317 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"rural\" + 0.037*\"sovereignti\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.021*\"poison\" + 0.020*\"moscow\" + 0.015*\"unfortun\" + 0.015*\"poland\" + 0.014*\"alexand\"\n", + "2019-01-31 00:38:43,318 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.017*\"damag\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.015*\"swedish\" + 0.014*\"replac\" + 0.014*\"sweden\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:38:43,319 : INFO : topic #39 (0.020): 0.049*\"canada\" + 0.038*\"canadian\" + 0.020*\"toronto\" + 0.020*\"hoar\" + 0.017*\"ontario\" + 0.014*\"novotná\" + 0.014*\"hydrogen\" + 0.013*\"new\" + 0.012*\"misericordia\" + 0.010*\"quebec\"\n", + "2019-01-31 00:38:43,320 : INFO : topic #48 (0.020): 0.076*\"march\" + 0.075*\"sens\" + 0.074*\"octob\" + 0.068*\"juli\" + 0.068*\"januari\" + 0.066*\"notion\" + 0.066*\"august\" + 0.065*\"decatur\" + 0.065*\"april\" + 0.064*\"judici\"\n", + "2019-01-31 00:38:43,321 : INFO : topic #45 (0.020): 0.023*\"jpg\" + 0.022*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"western\" + 0.015*\"black\" + 0.013*\"record\" + 0.011*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:38:43,327 : INFO : topic diff=0.006987, rho=0.038778\n", + "2019-01-31 00:38:43,483 : INFO : PROGRESS: pass 0, at document #1332000/4922894\n", + "2019-01-31 00:38:44,884 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:45,150 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:38:45,151 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"liber\" + 0.013*\"republ\" + 0.013*\"seaport\" + 0.013*\"selma\"\n", + "2019-01-31 00:38:45,152 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:38:45,154 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:38:45,155 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.010*\"linear\" + 0.010*\"rosenwald\"\n", + "2019-01-31 00:38:45,160 : INFO : topic diff=0.007573, rho=0.038749\n", + "2019-01-31 00:38:45,318 : INFO : PROGRESS: pass 0, at document #1334000/4922894\n", + "2019-01-31 00:38:46,727 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:46,993 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:38:46,994 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 00:38:46,995 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.007*\"championship\" + 0.007*\"softwar\" + 0.007*\"user\" + 0.007*\"serv\" + 0.007*\"base\"\n", + "2019-01-31 00:38:46,996 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.042*\"chilton\" + 0.023*\"korea\" + 0.022*\"hong\" + 0.021*\"kong\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.015*\"kim\" + 0.012*\"thailand\"\n", + "2019-01-31 00:38:46,997 : INFO : topic #48 (0.020): 0.076*\"sens\" + 0.074*\"march\" + 0.074*\"octob\" + 0.069*\"juli\" + 0.068*\"januari\" + 0.066*\"notion\" + 0.065*\"august\" + 0.064*\"april\" + 0.064*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 00:38:47,003 : INFO : topic diff=0.006376, rho=0.038720\n", + "2019-01-31 00:38:47,157 : INFO : PROGRESS: pass 0, at document #1336000/4922894\n", + "2019-01-31 00:38:48,532 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:48,798 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.016*\"com\" + 0.014*\"diversifi\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.012*\"militari\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:38:48,800 : INFO : topic #45 (0.020): 0.023*\"jpg\" + 0.022*\"fifteenth\" + 0.017*\"illicit\" + 0.016*\"colder\" + 0.016*\"western\" + 0.015*\"black\" + 0.013*\"record\" + 0.011*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:38:48,801 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.007*\"trade\" + 0.007*\"like\" + 0.007*\"uruguayan\" + 0.006*\"god\"\n", + "2019-01-31 00:38:48,802 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.007*\"championship\" + 0.007*\"softwar\" + 0.007*\"user\" + 0.007*\"base\" + 0.007*\"serv\"\n", + "2019-01-31 00:38:48,803 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"govern\" + 0.021*\"nation\" + 0.019*\"serv\" + 0.019*\"member\" + 0.017*\"gener\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:38:48,809 : INFO : topic diff=0.006900, rho=0.038691\n", + "2019-01-31 00:38:48,964 : INFO : PROGRESS: pass 0, at document #1338000/4922894\n", + "2019-01-31 00:38:50,363 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:50,633 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"blue\" + 0.006*\"comic\" + 0.005*\"septemb\" + 0.005*\"dixi\" + 0.005*\"charact\" + 0.004*\"vision\" + 0.004*\"appear\"\n", + "2019-01-31 00:38:50,634 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"line\" + 0.038*\"arsen\" + 0.035*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.016*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:38:50,635 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:38:50,636 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"jean\" + 0.023*\"sail\" + 0.019*\"daphn\" + 0.014*\"lazi\" + 0.014*\"loui\" + 0.012*\"piec\" + 0.007*\"wine\"\n", + "2019-01-31 00:38:50,637 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.007*\"championship\" + 0.007*\"softwar\" + 0.007*\"user\" + 0.007*\"base\" + 0.007*\"serv\"\n", + "2019-01-31 00:38:50,643 : INFO : topic diff=0.005915, rho=0.038662\n", + "2019-01-31 00:38:53,374 : INFO : -11.503 per-word bound, 2901.7 perplexity estimate based on a held-out corpus of 2000 documents with 573812 words\n", + "2019-01-31 00:38:53,375 : INFO : PROGRESS: pass 0, at document #1340000/4922894\n", + "2019-01-31 00:38:54,774 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:55,041 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"diversifi\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.012*\"militari\"\n", + "2019-01-31 00:38:55,042 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 00:38:55,043 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:38:55,044 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:38:55,045 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.011*\"sri\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 00:38:55,051 : INFO : topic diff=0.006151, rho=0.038633\n", + "2019-01-31 00:38:55,213 : INFO : PROGRESS: pass 0, at document #1342000/4922894\n", + "2019-01-31 00:38:56,606 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:56,874 : INFO : topic #29 (0.020): 0.022*\"companhia\" + 0.011*\"million\" + 0.010*\"bank\" + 0.010*\"busi\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.008*\"produc\" + 0.007*\"manag\" + 0.007*\"industri\" + 0.007*\"function\"\n", + "2019-01-31 00:38:56,876 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.019*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\" + 0.010*\"lizard\"\n", + "2019-01-31 00:38:56,877 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"collect\"\n", + "2019-01-31 00:38:56,878 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"televis\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 00:38:56,879 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.053*\"parti\" + 0.023*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"liber\" + 0.014*\"seaport\" + 0.014*\"republ\" + 0.013*\"selma\"\n", + "2019-01-31 00:38:56,885 : INFO : topic diff=0.005921, rho=0.038605\n", + "2019-01-31 00:38:57,099 : INFO : PROGRESS: pass 0, at document #1344000/4922894\n", + "2019-01-31 00:38:58,484 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:38:58,750 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"live\" + 0.010*\"genu\" + 0.009*\"biom\"\n", + "2019-01-31 00:38:58,752 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"dixi\" + 0.004*\"vision\" + 0.004*\"appear\"\n", + "2019-01-31 00:38:58,753 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.043*\"chilton\" + 0.023*\"korea\" + 0.022*\"hong\" + 0.021*\"kong\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.015*\"leah\" + 0.012*\"thailand\"\n", + "2019-01-31 00:38:58,754 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.016*\"martin\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:38:58,756 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.009*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:38:58,761 : INFO : topic diff=0.006444, rho=0.038576\n", + "2019-01-31 00:38:58,919 : INFO : PROGRESS: pass 0, at document #1346000/4922894\n", + "2019-01-31 00:39:00,342 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:00,609 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:39:00,610 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.021*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"live\" + 0.009*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:39:00,611 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"dixi\" + 0.004*\"appear\" + 0.004*\"vision\"\n", + "2019-01-31 00:39:00,612 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:39:00,613 : INFO : topic #48 (0.020): 0.076*\"sens\" + 0.076*\"octob\" + 0.075*\"march\" + 0.069*\"juli\" + 0.068*\"januari\" + 0.067*\"notion\" + 0.067*\"august\" + 0.065*\"april\" + 0.064*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 00:39:00,619 : INFO : topic diff=0.006029, rho=0.038547\n", + "2019-01-31 00:39:00,779 : INFO : PROGRESS: pass 0, at document #1348000/4922894\n", + "2019-01-31 00:39:02,209 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:02,476 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.007*\"till\" + 0.006*\"pour\"\n", + "2019-01-31 00:39:02,477 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.014*\"seaport\" + 0.013*\"selma\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:39:02,478 : INFO : topic #48 (0.020): 0.076*\"sens\" + 0.076*\"octob\" + 0.075*\"march\" + 0.069*\"juli\" + 0.068*\"januari\" + 0.068*\"notion\" + 0.067*\"august\" + 0.065*\"april\" + 0.064*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 00:39:02,479 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"warmth\" + 0.017*\"area\" + 0.017*\"lagrang\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:39:02,480 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:39:02,486 : INFO : topic diff=0.006705, rho=0.038519\n", + "2019-01-31 00:39:02,645 : INFO : PROGRESS: pass 0, at document #1350000/4922894\n", + "2019-01-31 00:39:04,030 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:04,299 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"vernon\"\n", + "2019-01-31 00:39:04,300 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"live\" + 0.009*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:39:04,301 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.017*\"damag\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"sweden\" + 0.014*\"wind\" + 0.014*\"replac\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 00:39:04,302 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"campbel\" + 0.009*\"class\"\n", + "2019-01-31 00:39:04,303 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.022*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:39:04,309 : INFO : topic diff=0.006086, rho=0.038490\n", + "2019-01-31 00:39:04,464 : INFO : PROGRESS: pass 0, at document #1352000/4922894\n", + "2019-01-31 00:39:05,847 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:06,114 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.021*\"cathol\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"dioces\"\n", + "2019-01-31 00:39:06,115 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:39:06,116 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"bahá\" + 0.009*\"vernon\"\n", + "2019-01-31 00:39:06,117 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"appear\" + 0.004*\"dixi\" + 0.004*\"litig\"\n", + "2019-01-31 00:39:06,119 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:39:06,125 : INFO : topic diff=0.006666, rho=0.038462\n", + "2019-01-31 00:39:06,283 : INFO : PROGRESS: pass 0, at document #1354000/4922894\n", + "2019-01-31 00:39:07,702 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:07,968 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"diversifi\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\"\n", + "2019-01-31 00:39:07,969 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:39:07,970 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.038*\"rural\" + 0.035*\"sovereignti\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.022*\"poison\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"alexand\"\n", + "2019-01-31 00:39:07,971 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.018*\"candid\" + 0.017*\"taxpay\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"horac\" + 0.010*\"ret\" + 0.010*\"landslid\" + 0.010*\"tornado\"\n", + "2019-01-31 00:39:07,972 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.022*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:39:07,978 : INFO : topic diff=0.006220, rho=0.038433\n", + "2019-01-31 00:39:08,138 : INFO : PROGRESS: pass 0, at document #1356000/4922894\n", + "2019-01-31 00:39:09,546 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:09,812 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"hormon\" + 0.006*\"human\"\n", + "2019-01-31 00:39:09,813 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.025*\"jean\" + 0.023*\"sail\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.014*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:39:09,814 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.015*\"orchestr\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 00:39:09,815 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.022*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"live\" + 0.009*\"genu\" + 0.009*\"yawn\"\n", + "2019-01-31 00:39:09,817 : INFO : topic #29 (0.020): 0.022*\"companhia\" + 0.010*\"million\" + 0.010*\"busi\" + 0.010*\"bank\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.008*\"produc\" + 0.007*\"industri\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:39:09,822 : INFO : topic diff=0.006880, rho=0.038405\n", + "2019-01-31 00:39:09,984 : INFO : PROGRESS: pass 0, at document #1358000/4922894\n", + "2019-01-31 00:39:11,422 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:11,688 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.022*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:39:11,689 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 00:39:11,690 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.013*\"seaport\" + 0.013*\"selma\"\n", + "2019-01-31 00:39:11,691 : INFO : topic #31 (0.020): 0.057*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"barber\"\n", + "2019-01-31 00:39:11,692 : INFO : topic #29 (0.020): 0.023*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"bank\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.008*\"produc\" + 0.007*\"industri\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:39:11,698 : INFO : topic diff=0.007065, rho=0.038376\n", + "2019-01-31 00:39:14,455 : INFO : -11.740 per-word bound, 3420.1 perplexity estimate based on a held-out corpus of 2000 documents with 572905 words\n", + "2019-01-31 00:39:14,456 : INFO : PROGRESS: pass 0, at document #1360000/4922894\n", + "2019-01-31 00:39:15,870 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:16,136 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"christian\" + 0.020*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"italian\"\n", + "2019-01-31 00:39:16,137 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.015*\"vol\" + 0.013*\"berlin\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"europ\" + 0.008*\"itali\"\n", + "2019-01-31 00:39:16,138 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.019*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:39:16,140 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.016*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"diversifi\" + 0.012*\"militari\" + 0.012*\"airbu\"\n", + "2019-01-31 00:39:16,141 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.028*\"valour\" + 0.019*\"folei\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.018*\"player\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:39:16,146 : INFO : topic diff=0.005609, rho=0.038348\n", + "2019-01-31 00:39:16,305 : INFO : PROGRESS: pass 0, at document #1362000/4922894\n", + "2019-01-31 00:39:17,705 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:17,971 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"rural\" + 0.036*\"sovereignti\" + 0.025*\"personifi\" + 0.023*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.016*\"unfortun\" + 0.016*\"poland\" + 0.014*\"alexand\"\n", + "2019-01-31 00:39:17,973 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"championship\" + 0.007*\"base\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 00:39:17,974 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.006*\"socialist\"\n", + "2019-01-31 00:39:17,975 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"vernon\"\n", + "2019-01-31 00:39:17,976 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"member\" + 0.022*\"democrat\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.013*\"selma\" + 0.013*\"seaport\"\n", + "2019-01-31 00:39:17,982 : INFO : topic diff=0.006322, rho=0.038320\n", + "2019-01-31 00:39:18,137 : INFO : PROGRESS: pass 0, at document #1364000/4922894\n", + "2019-01-31 00:39:19,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:19,799 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.021*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.012*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:39:19,800 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.014*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.010*\"fool\" + 0.010*\"théori\" + 0.010*\"scientist\"\n", + "2019-01-31 00:39:19,801 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.023*\"korea\" + 0.022*\"hong\" + 0.022*\"kong\" + 0.018*\"korean\" + 0.018*\"sourc\" + 0.014*\"kim\" + 0.014*\"leah\" + 0.012*\"shirin\"\n", + "2019-01-31 00:39:19,802 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.034*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:39:19,803 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.043*\"tortur\" + 0.030*\"cotton\" + 0.029*\"area\" + 0.023*\"multitud\" + 0.023*\"regim\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:39:19,809 : INFO : topic diff=0.006663, rho=0.038292\n", + "2019-01-31 00:39:19,964 : INFO : PROGRESS: pass 0, at document #1366000/4922894\n", + "2019-01-31 00:39:21,356 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:21,622 : INFO : topic #48 (0.020): 0.077*\"sens\" + 0.077*\"march\" + 0.075*\"octob\" + 0.071*\"august\" + 0.070*\"januari\" + 0.070*\"juli\" + 0.068*\"notion\" + 0.067*\"april\" + 0.065*\"decatur\" + 0.065*\"judici\"\n", + "2019-01-31 00:39:21,624 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"collect\"\n", + "2019-01-31 00:39:21,625 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"militari\" + 0.006*\"pour\" + 0.006*\"king\"\n", + "2019-01-31 00:39:21,626 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.007*\"disco\" + 0.007*\"pathwai\" + 0.007*\"media\" + 0.007*\"treat\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"have\" + 0.006*\"hormon\" + 0.006*\"effect\"\n", + "2019-01-31 00:39:21,627 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.029*\"pari\" + 0.025*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.014*\"loui\" + 0.012*\"piec\" + 0.012*\"wreath\"\n", + "2019-01-31 00:39:21,633 : INFO : topic diff=0.006700, rho=0.038264\n", + "2019-01-31 00:39:21,791 : INFO : PROGRESS: pass 0, at document #1368000/4922894\n", + "2019-01-31 00:39:23,185 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:23,451 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.021*\"govern\" + 0.021*\"nation\" + 0.020*\"serv\" + 0.019*\"member\" + 0.018*\"gener\" + 0.017*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:39:23,452 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.052*\"parti\" + 0.024*\"voluntari\" + 0.023*\"member\" + 0.022*\"democrat\" + 0.017*\"republ\" + 0.016*\"polici\" + 0.014*\"report\" + 0.014*\"selma\" + 0.014*\"liber\"\n", + "2019-01-31 00:39:23,453 : INFO : topic #45 (0.020): 0.023*\"jpg\" + 0.022*\"fifteenth\" + 0.017*\"illicit\" + 0.016*\"western\" + 0.016*\"colder\" + 0.015*\"black\" + 0.013*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:39:23,454 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.016*\"sweden\" + 0.015*\"damag\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.013*\"replac\" + 0.012*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 00:39:23,455 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:39:23,461 : INFO : topic diff=0.006293, rho=0.038236\n", + "2019-01-31 00:39:23,617 : INFO : PROGRESS: pass 0, at document #1370000/4922894\n", + "2019-01-31 00:39:25,004 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:25,270 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"open\"\n", + "2019-01-31 00:39:25,272 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.029*\"pari\" + 0.025*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.012*\"wreath\"\n", + "2019-01-31 00:39:25,274 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.006*\"pour\" + 0.006*\"king\"\n", + "2019-01-31 00:39:25,275 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:39:25,276 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.013*\"televis\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"islam\" + 0.011*\"sri\" + 0.011*\"tajikistan\" + 0.010*\"khalsa\" + 0.010*\"muskoge\"\n", + "2019-01-31 00:39:25,282 : INFO : topic diff=0.004829, rho=0.038208\n", + "2019-01-31 00:39:25,440 : INFO : PROGRESS: pass 0, at document #1372000/4922894\n", + "2019-01-31 00:39:26,820 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:27,087 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.023*\"member\" + 0.022*\"democrat\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"selma\" + 0.014*\"report\" + 0.014*\"liber\"\n", + "2019-01-31 00:39:27,089 : INFO : topic #31 (0.020): 0.057*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.024*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"barber\"\n", + "2019-01-31 00:39:27,089 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.038*\"canadian\" + 0.020*\"hoar\" + 0.020*\"toronto\" + 0.018*\"ontario\" + 0.016*\"hydrogen\" + 0.013*\"new\" + 0.012*\"novotná\" + 0.012*\"misericordia\" + 0.011*\"quebec\"\n", + "2019-01-31 00:39:27,091 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.006*\"pour\" + 0.006*\"king\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:39:27,092 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.034*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:39:27,097 : INFO : topic diff=0.006412, rho=0.038180\n", + "2019-01-31 00:39:27,310 : INFO : PROGRESS: pass 0, at document #1374000/4922894\n", + "2019-01-31 00:39:28,710 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:28,976 : INFO : topic #48 (0.020): 0.077*\"march\" + 0.077*\"sens\" + 0.075*\"octob\" + 0.070*\"juli\" + 0.070*\"januari\" + 0.069*\"august\" + 0.068*\"notion\" + 0.067*\"april\" + 0.065*\"decatur\" + 0.065*\"judici\"\n", + "2019-01-31 00:39:28,977 : INFO : topic #12 (0.020): 0.007*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.005*\"method\"\n", + "2019-01-31 00:39:28,978 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:39:28,980 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.033*\"priest\" + 0.022*\"quarterli\" + 0.020*\"duke\" + 0.018*\"grammat\" + 0.017*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.015*\"brazil\" + 0.014*\"princ\" + 0.013*\"portugues\"\n", + "2019-01-31 00:39:28,981 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:39:28,987 : INFO : topic diff=0.006169, rho=0.038152\n", + "2019-01-31 00:39:29,146 : INFO : PROGRESS: pass 0, at document #1376000/4922894\n", + "2019-01-31 00:39:30,566 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:30,833 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:39:30,834 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.043*\"tortur\" + 0.030*\"cotton\" + 0.029*\"area\" + 0.023*\"multitud\" + 0.023*\"regim\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:39:30,834 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.023*\"member\" + 0.022*\"democrat\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"liber\" + 0.014*\"report\" + 0.014*\"selma\"\n", + "2019-01-31 00:39:30,836 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.037*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.012*\"misericordia\" + 0.012*\"novotná\" + 0.011*\"quebec\"\n", + "2019-01-31 00:39:30,837 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:39:30,843 : INFO : topic diff=0.007082, rho=0.038125\n", + "2019-01-31 00:39:30,995 : INFO : PROGRESS: pass 0, at document #1378000/4922894\n", + "2019-01-31 00:39:32,361 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:32,627 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.005*\"servitud\" + 0.005*\"method\"\n", + "2019-01-31 00:39:32,628 : INFO : topic #31 (0.020): 0.058*\"fusiform\" + 0.025*\"scientist\" + 0.025*\"player\" + 0.024*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 00:39:32,630 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.027*\"olymp\" + 0.026*\"woman\" + 0.025*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.017*\"taxpay\" + 0.017*\"nation\"\n", + "2019-01-31 00:39:32,631 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"bank\" + 0.009*\"market\" + 0.008*\"yawn\" + 0.008*\"produc\" + 0.007*\"industri\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:39:32,632 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airbu\"\n", + "2019-01-31 00:39:32,638 : INFO : topic diff=0.006106, rho=0.038097\n", + "2019-01-31 00:39:35,373 : INFO : -11.573 per-word bound, 3047.1 perplexity estimate based on a held-out corpus of 2000 documents with 550957 words\n", + "2019-01-31 00:39:35,373 : INFO : PROGRESS: pass 0, at document #1380000/4922894\n", + "2019-01-31 00:39:36,785 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:37,051 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.067*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.025*\"festiv\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.021*\"intern\" + 0.019*\"women\" + 0.015*\"prison\"\n", + "2019-01-31 00:39:37,052 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:39:37,053 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:39:37,055 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"pathwai\" + 0.007*\"disco\" + 0.007*\"media\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"have\" + 0.006*\"hormon\"\n", + "2019-01-31 00:39:37,056 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.013*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 00:39:37,061 : INFO : topic diff=0.004557, rho=0.038069\n", + "2019-01-31 00:39:37,218 : INFO : PROGRESS: pass 0, at document #1382000/4922894\n", + "2019-01-31 00:39:38,608 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:38,874 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.019*\"folei\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:39:38,875 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.038*\"arsen\" + 0.036*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:39:38,876 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.010*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:39:38,877 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"highli\"\n", + "2019-01-31 00:39:38,878 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:39:38,884 : INFO : topic diff=0.004632, rho=0.038042\n", + "2019-01-31 00:39:39,044 : INFO : PROGRESS: pass 0, at document #1384000/4922894\n", + "2019-01-31 00:39:40,437 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:40,704 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.025*\"cortic\" + 0.018*\"start\" + 0.015*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.011*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:39:40,705 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:39:40,707 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.010*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"produc\" + 0.007*\"uruguayan\" + 0.007*\"develop\"\n", + "2019-01-31 00:39:40,708 : INFO : topic #46 (0.020): 0.018*\"swedish\" + 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.014*\"wind\" + 0.012*\"replac\" + 0.012*\"denmark\" + 0.011*\"treeless\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:39:40,709 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"appear\" + 0.004*\"litig\" + 0.004*\"black\"\n", + "2019-01-31 00:39:40,715 : INFO : topic diff=0.006142, rho=0.038014\n", + "2019-01-31 00:39:40,869 : INFO : PROGRESS: pass 0, at document #1386000/4922894\n", + "2019-01-31 00:39:42,244 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:42,510 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:39:42,511 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:39:42,512 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.036*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:39:42,514 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.011*\"deal\"\n", + "2019-01-31 00:39:42,515 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.021*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:39:42,521 : INFO : topic diff=0.006396, rho=0.037987\n", + "2019-01-31 00:39:42,671 : INFO : PROGRESS: pass 0, at document #1388000/4922894\n", + "2019-01-31 00:39:44,029 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:44,295 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:39:44,296 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"physician\" + 0.012*\"jack\"\n", + "2019-01-31 00:39:44,297 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.038*\"canadian\" + 0.020*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.014*\"hydrogen\" + 0.014*\"new\" + 0.012*\"novotná\" + 0.012*\"misericordia\" + 0.011*\"quebec\"\n", + "2019-01-31 00:39:44,298 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.041*\"line\" + 0.038*\"arsen\" + 0.036*\"raid\" + 0.027*\"museo\" + 0.021*\"traceabl\" + 0.017*\"serv\" + 0.015*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:39:44,299 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.044*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.019*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:39:44,305 : INFO : topic diff=0.006081, rho=0.037959\n", + "2019-01-31 00:39:44,465 : INFO : PROGRESS: pass 0, at document #1390000/4922894\n", + "2019-01-31 00:39:45,885 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:46,151 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"litig\" + 0.004*\"appear\" + 0.004*\"black\"\n", + "2019-01-31 00:39:46,152 : INFO : topic #12 (0.020): 0.008*\"frontal\" + 0.007*\"number\" + 0.007*\"utopian\" + 0.007*\"poet\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"method\"\n", + "2019-01-31 00:39:46,154 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:39:46,155 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.023*\"member\" + 0.022*\"democrat\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"selma\" + 0.013*\"liber\"\n", + "2019-01-31 00:39:46,156 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.013*\"professor\" + 0.013*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 00:39:46,162 : INFO : topic diff=0.005939, rho=0.037932\n", + "2019-01-31 00:39:46,312 : INFO : PROGRESS: pass 0, at document #1392000/4922894\n", + "2019-01-31 00:39:47,678 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:47,944 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:39:47,945 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.019*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:39:47,946 : INFO : topic #15 (0.020): 0.011*\"organ\" + 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.010*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.007*\"socialist\"\n", + "2019-01-31 00:39:47,947 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.012*\"militari\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:39:47,948 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.037*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.019*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:39:47,954 : INFO : topic diff=0.005970, rho=0.037905\n", + "2019-01-31 00:39:48,113 : INFO : PROGRESS: pass 0, at document #1394000/4922894\n", + "2019-01-31 00:39:49,531 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:49,798 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.021*\"cathol\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.010*\"parish\" + 0.009*\"relationship\" + 0.009*\"centuri\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:39:49,799 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.037*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:39:49,800 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.022*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:39:49,801 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.027*\"olymp\" + 0.027*\"woman\" + 0.025*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.017*\"nation\"\n", + "2019-01-31 00:39:49,802 : INFO : topic #36 (0.020): 0.012*\"pop\" + 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.007*\"user\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 00:39:49,808 : INFO : topic diff=0.005093, rho=0.037878\n", + "2019-01-31 00:39:49,974 : INFO : PROGRESS: pass 0, at document #1396000/4922894\n", + "2019-01-31 00:39:51,427 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:51,693 : INFO : topic #1 (0.020): 0.058*\"china\" + 0.047*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.017*\"sourc\" + 0.014*\"leah\" + 0.013*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:39:51,694 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"blue\" + 0.006*\"comic\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"litig\" + 0.004*\"appear\" + 0.004*\"black\"\n", + "2019-01-31 00:39:51,695 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"sens\" + 0.076*\"octob\" + 0.076*\"juli\" + 0.072*\"august\" + 0.071*\"januari\" + 0.070*\"april\" + 0.069*\"notion\" + 0.069*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 00:39:51,696 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.008*\"armi\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.006*\"king\" + 0.006*\"till\"\n", + "2019-01-31 00:39:51,697 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.025*\"cortic\" + 0.018*\"start\" + 0.015*\"act\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.007*\"judaism\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:39:51,703 : INFO : topic diff=0.007833, rho=0.037851\n", + "2019-01-31 00:39:51,858 : INFO : PROGRESS: pass 0, at document #1398000/4922894\n", + "2019-01-31 00:39:53,244 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:53,511 : INFO : topic #12 (0.020): 0.008*\"frontal\" + 0.008*\"number\" + 0.007*\"utopian\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"method\"\n", + "2019-01-31 00:39:53,512 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.028*\"new\" + 0.021*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:39:53,513 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.024*\"septemb\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:39:53,514 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"pathwai\" + 0.007*\"disco\" + 0.007*\"media\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"have\" + 0.006*\"acid\"\n", + "2019-01-31 00:39:53,515 : INFO : topic #35 (0.020): 0.061*\"russia\" + 0.037*\"rural\" + 0.036*\"sovereignti\" + 0.026*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.017*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 00:39:53,521 : INFO : topic diff=0.005280, rho=0.037823\n", + "2019-01-31 00:39:56,202 : INFO : -11.583 per-word bound, 3068.1 perplexity estimate based on a held-out corpus of 2000 documents with 541339 words\n", + "2019-01-31 00:39:56,203 : INFO : PROGRESS: pass 0, at document #1400000/4922894\n", + "2019-01-31 00:39:57,598 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:57,865 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.008*\"armi\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.006*\"king\" + 0.006*\"till\"\n", + "2019-01-31 00:39:57,866 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"josé\" + 0.011*\"francisco\" + 0.011*\"plung\"\n", + "2019-01-31 00:39:57,867 : INFO : topic #45 (0.020): 0.024*\"jpg\" + 0.021*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"western\" + 0.016*\"black\" + 0.013*\"record\" + 0.010*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:39:57,868 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"litig\" + 0.004*\"appear\" + 0.004*\"black\"\n", + "2019-01-31 00:39:57,869 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.043*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:39:57,875 : INFO : topic diff=0.005368, rho=0.037796\n", + "2019-01-31 00:39:58,028 : INFO : PROGRESS: pass 0, at document #1402000/4922894\n", + "2019-01-31 00:39:59,406 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:39:59,673 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.021*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:39:59,674 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"palmer\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 00:39:59,675 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.027*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:39:59,676 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.012*\"islam\" + 0.012*\"anglo\" + 0.010*\"alam\" + 0.010*\"khalsa\" + 0.010*\"sri\" + 0.009*\"tajikistan\"\n", + "2019-01-31 00:39:59,677 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"live\" + 0.010*\"genu\" + 0.008*\"yawn\"\n", + "2019-01-31 00:39:59,683 : INFO : topic diff=0.005208, rho=0.037769\n", + "2019-01-31 00:39:59,838 : INFO : PROGRESS: pass 0, at document #1404000/4922894\n", + "2019-01-31 00:40:01,227 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:01,493 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"armi\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.006*\"king\" + 0.006*\"pour\"\n", + "2019-01-31 00:40:01,494 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"american\" + 0.031*\"unionist\" + 0.029*\"cotton\" + 0.027*\"new\" + 0.016*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.013*\"north\"\n", + "2019-01-31 00:40:01,495 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.012*\"airmen\"\n", + "2019-01-31 00:40:01,496 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.030*\"priest\" + 0.021*\"quarterli\" + 0.020*\"duke\" + 0.019*\"grammat\" + 0.017*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.016*\"brazil\" + 0.015*\"princ\" + 0.014*\"kingdom\"\n", + "2019-01-31 00:40:01,497 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"nicola\" + 0.012*\"presid\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:40:01,503 : INFO : topic diff=0.005555, rho=0.037743\n", + "2019-01-31 00:40:01,714 : INFO : PROGRESS: pass 0, at document #1406000/4922894\n", + "2019-01-31 00:40:03,119 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:03,386 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.017*\"serv\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:40:03,387 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.036*\"arsen\" + 0.036*\"raid\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:40:03,388 : INFO : topic #36 (0.020): 0.012*\"pop\" + 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"develop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.007*\"championship\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 00:40:03,389 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.028*\"new\" + 0.021*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:40:03,390 : INFO : topic #46 (0.020): 0.017*\"swedish\" + 0.017*\"sweden\" + 0.017*\"norwai\" + 0.016*\"stop\" + 0.015*\"damag\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.012*\"denmark\" + 0.011*\"replac\" + 0.011*\"farid\"\n", + "2019-01-31 00:40:03,396 : INFO : topic diff=0.005826, rho=0.037716\n", + "2019-01-31 00:40:03,555 : INFO : PROGRESS: pass 0, at document #1408000/4922894\n", + "2019-01-31 00:40:04,959 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:05,225 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:40:05,226 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"nicola\" + 0.012*\"presid\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:40:05,228 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"lobe\" + 0.008*\"land\"\n", + "2019-01-31 00:40:05,228 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 00:40:05,229 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"member\" + 0.021*\"democrat\" + 0.017*\"polici\" + 0.015*\"seaport\" + 0.014*\"republ\" + 0.014*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 00:40:05,236 : INFO : topic diff=0.005156, rho=0.037689\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:40:05,390 : INFO : PROGRESS: pass 0, at document #1410000/4922894\n", + "2019-01-31 00:40:06,764 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:07,030 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.010*\"isra\" + 0.009*\"europ\"\n", + "2019-01-31 00:40:07,031 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"wander\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:40:07,032 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"member\" + 0.021*\"democrat\" + 0.016*\"polici\" + 0.015*\"seaport\" + 0.015*\"republ\" + 0.014*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 00:40:07,033 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.021*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:40:07,034 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"pseudo\" + 0.009*\"gothic\" + 0.009*\"district\"\n", + "2019-01-31 00:40:07,040 : INFO : topic diff=0.004562, rho=0.037662\n", + "2019-01-31 00:40:07,193 : INFO : PROGRESS: pass 0, at document #1412000/4922894\n", + "2019-01-31 00:40:08,575 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:08,841 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"isra\" + 0.010*\"european\" + 0.009*\"europ\"\n", + "2019-01-31 00:40:08,842 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.012*\"pakistan\" + 0.012*\"islam\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.010*\"alam\" + 0.010*\"sri\" + 0.010*\"tajikistan\" + 0.010*\"khalsa\"\n", + "2019-01-31 00:40:08,843 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.018*\"taxpay\" + 0.017*\"ret\" + 0.017*\"candid\" + 0.013*\"find\" + 0.012*\"driver\" + 0.010*\"fool\" + 0.010*\"tornado\" + 0.010*\"scientist\" + 0.010*\"landslid\"\n", + "2019-01-31 00:40:08,844 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.047*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.016*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.014*\"kim\"\n", + "2019-01-31 00:40:08,846 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.017*\"gener\" + 0.017*\"serv\" + 0.017*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:40:08,851 : INFO : topic diff=0.006399, rho=0.037635\n", + "2019-01-31 00:40:09,006 : INFO : PROGRESS: pass 0, at document #1414000/4922894\n", + "2019-01-31 00:40:10,377 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:10,643 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.014*\"pope\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:40:10,644 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.077*\"march\" + 0.077*\"octob\" + 0.075*\"juli\" + 0.072*\"august\" + 0.069*\"april\" + 0.069*\"januari\" + 0.069*\"notion\" + 0.068*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 00:40:10,645 : INFO : topic #46 (0.020): 0.018*\"swedish\" + 0.018*\"sweden\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.015*\"damag\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.012*\"denmark\" + 0.011*\"replac\" + 0.011*\"farid\"\n", + "2019-01-31 00:40:10,646 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.030*\"priest\" + 0.022*\"quarterli\" + 0.020*\"duke\" + 0.019*\"grammat\" + 0.018*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.015*\"brazil\" + 0.014*\"kingdom\" + 0.014*\"princ\"\n", + "2019-01-31 00:40:10,647 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.037*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.025*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.017*\"unfortun\" + 0.013*\"tyrant\"\n", + "2019-01-31 00:40:10,653 : INFO : topic diff=0.005349, rho=0.037609\n", + "2019-01-31 00:40:10,808 : INFO : PROGRESS: pass 0, at document #1416000/4922894\n", + "2019-01-31 00:40:12,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:12,413 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:40:12,414 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.015*\"seaport\" + 0.013*\"liber\" + 0.013*\"selma\"\n", + "2019-01-31 00:40:12,415 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.012*\"airmen\"\n", + "2019-01-31 00:40:12,416 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.012*\"anglo\" + 0.010*\"alam\" + 0.010*\"tajikistan\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 00:40:12,417 : INFO : topic #12 (0.020): 0.008*\"frontal\" + 0.008*\"number\" + 0.007*\"gener\" + 0.006*\"utopian\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"theoret\"\n", + "2019-01-31 00:40:12,423 : INFO : topic diff=0.007461, rho=0.037582\n", + "2019-01-31 00:40:12,582 : INFO : PROGRESS: pass 0, at document #1418000/4922894\n", + "2019-01-31 00:40:13,998 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:14,264 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"taxpay\" + 0.017*\"candid\" + 0.016*\"ret\" + 0.013*\"find\" + 0.012*\"driver\" + 0.011*\"tornado\" + 0.010*\"fool\" + 0.010*\"landslid\" + 0.010*\"théori\"\n", + "2019-01-31 00:40:14,265 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.021*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"district\" + 0.009*\"pseudo\"\n", + "2019-01-31 00:40:14,266 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.032*\"unionist\" + 0.031*\"american\" + 0.031*\"cotton\" + 0.027*\"new\" + 0.016*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:40:14,267 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"biom\"\n", + "2019-01-31 00:40:14,268 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.007*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.007*\"develop\"\n", + "2019-01-31 00:40:14,274 : INFO : topic diff=0.005952, rho=0.037556\n", + "2019-01-31 00:40:17,008 : INFO : -11.470 per-word bound, 2837.0 perplexity estimate based on a held-out corpus of 2000 documents with 578534 words\n", + "2019-01-31 00:40:17,008 : INFO : PROGRESS: pass 0, at document #1420000/4922894\n", + "2019-01-31 00:40:18,402 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:18,669 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"wander\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:40:18,671 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"utopian\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"theoret\" + 0.006*\"southern\" + 0.006*\"measur\"\n", + "2019-01-31 00:40:18,672 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"mode\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"produc\" + 0.007*\"develop\"\n", + "2019-01-31 00:40:18,673 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.038*\"sovereignti\" + 0.036*\"rural\" + 0.026*\"poison\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.018*\"unfortun\" + 0.017*\"poland\" + 0.013*\"czech\"\n", + "2019-01-31 00:40:18,674 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.008*\"disco\" + 0.006*\"proper\" + 0.006*\"acid\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"caus\" + 0.006*\"hormon\"\n", + "2019-01-31 00:40:18,679 : INFO : topic diff=0.006277, rho=0.037529\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:40:18,839 : INFO : PROGRESS: pass 0, at document #1422000/4922894\n", + "2019-01-31 00:40:20,255 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:20,521 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"septemb\" + 0.005*\"charact\" + 0.004*\"black\" + 0.004*\"appear\" + 0.004*\"litig\"\n", + "2019-01-31 00:40:20,523 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:40:20,524 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.022*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.017*\"gener\" + 0.017*\"serv\" + 0.017*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:40:20,525 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.042*\"tortur\" + 0.030*\"cotton\" + 0.027*\"area\" + 0.025*\"multitud\" + 0.022*\"regim\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:40:20,526 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.009*\"bank\" + 0.009*\"market\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:40:20,532 : INFO : topic diff=0.006061, rho=0.037503\n", + "2019-01-31 00:40:20,683 : INFO : PROGRESS: pass 0, at document #1424000/4922894\n", + "2019-01-31 00:40:22,056 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:22,321 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"itali\" + 0.009*\"isra\"\n", + "2019-01-31 00:40:22,322 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:40:22,323 : INFO : topic #46 (0.020): 0.020*\"sweden\" + 0.018*\"swedish\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.012*\"denmark\" + 0.011*\"replac\" + 0.011*\"farid\"\n", + "2019-01-31 00:40:22,324 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.007*\"includ\" + 0.007*\"base\"\n", + "2019-01-31 00:40:22,326 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.022*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.008*\"light\" + 0.007*\"depress\"\n", + "2019-01-31 00:40:22,331 : INFO : topic diff=0.005725, rho=0.037477\n", + "2019-01-31 00:40:22,486 : INFO : PROGRESS: pass 0, at document #1426000/4922894\n", + "2019-01-31 00:40:23,877 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:24,143 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:40:24,144 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"sri\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"tajikistan\"\n", + "2019-01-31 00:40:24,146 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:40:24,147 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"unionist\" + 0.032*\"cotton\" + 0.031*\"american\" + 0.027*\"new\" + 0.016*\"year\" + 0.013*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:40:24,148 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"acid\" + 0.006*\"proper\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:40:24,154 : INFO : topic diff=0.006087, rho=0.037450\n", + "2019-01-31 00:40:24,311 : INFO : PROGRESS: pass 0, at document #1428000/4922894\n", + "2019-01-31 00:40:25,687 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:25,957 : INFO : topic #19 (0.020): 0.014*\"languag\" + 0.011*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.007*\"god\" + 0.007*\"like\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:40:25,958 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:40:25,959 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.022*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.008*\"light\" + 0.007*\"depress\"\n", + "2019-01-31 00:40:25,960 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"septemb\" + 0.005*\"blue\" + 0.005*\"charact\" + 0.004*\"appear\" + 0.004*\"black\" + 0.004*\"litig\"\n", + "2019-01-31 00:40:25,961 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:40:25,968 : INFO : topic diff=0.006226, rho=0.037424\n", + "2019-01-31 00:40:26,128 : INFO : PROGRESS: pass 0, at document #1430000/4922894\n", + "2019-01-31 00:40:27,524 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:27,791 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:40:27,792 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.015*\"shirin\" + 0.014*\"leah\"\n", + "2019-01-31 00:40:27,793 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:40:27,795 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.025*\"scientist\" + 0.025*\"player\" + 0.025*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 00:40:27,796 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 00:40:27,802 : INFO : topic diff=0.005176, rho=0.037398\n", + "2019-01-31 00:40:27,961 : INFO : PROGRESS: pass 0, at document #1432000/4922894\n", + "2019-01-31 00:40:29,363 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:29,629 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.015*\"lazi\" + 0.014*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 00:40:29,630 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.021*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:40:29,632 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:40:29,633 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.043*\"tortur\" + 0.031*\"cotton\" + 0.027*\"area\" + 0.024*\"multitud\" + 0.022*\"regim\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:40:29,634 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.015*\"shirin\" + 0.014*\"leah\"\n", + "2019-01-31 00:40:29,640 : INFO : topic diff=0.006892, rho=0.037372\n", + "2019-01-31 00:40:29,795 : INFO : PROGRESS: pass 0, at document #1434000/4922894\n", + "2019-01-31 00:40:31,182 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:31,448 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.011*\"replac\" + 0.011*\"denmark\" + 0.011*\"farid\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:40:31,449 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:40:31,450 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:40:31,452 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.039*\"line\" + 0.035*\"arsen\" + 0.035*\"raid\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.015*\"pain\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:40:31,453 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.019*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"airmen\"\n", + "2019-01-31 00:40:31,459 : INFO : topic diff=0.005614, rho=0.037346\n", + "2019-01-31 00:40:31,616 : INFO : PROGRESS: pass 0, at document #1436000/4922894\n", + "2019-01-31 00:40:33,473 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:33,740 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.023*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:40:33,742 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.024*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"depress\"\n", + "2019-01-31 00:40:33,743 : INFO : topic #39 (0.020): 0.052*\"canada\" + 0.040*\"canadian\" + 0.021*\"toronto\" + 0.020*\"hoar\" + 0.019*\"ontario\" + 0.014*\"new\" + 0.013*\"hydrogen\" + 0.012*\"quebec\" + 0.012*\"novotná\" + 0.011*\"misericordia\"\n", + "2019-01-31 00:40:33,744 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.064*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.025*\"japanes\" + 0.022*\"festiv\" + 0.022*\"noll\" + 0.019*\"women\" + 0.019*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:40:33,745 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.015*\"seaport\" + 0.014*\"report\" + 0.014*\"liber\"\n", + "2019-01-31 00:40:33,751 : INFO : topic diff=0.005369, rho=0.037320\n", + "2019-01-31 00:40:33,908 : INFO : PROGRESS: pass 0, at document #1438000/4922894\n", + "2019-01-31 00:40:35,469 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:35,736 : INFO : topic #12 (0.020): 0.008*\"frontal\" + 0.008*\"number\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"poet\" + 0.006*\"method\" + 0.006*\"theoret\"\n", + "2019-01-31 00:40:35,737 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.007*\"championship\" + 0.007*\"includ\"\n", + "2019-01-31 00:40:35,738 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"warmth\" + 0.016*\"area\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.008*\"palmer\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"crayfish\" + 0.008*\"north\"\n", + "2019-01-31 00:40:35,739 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.018*\"unfortun\" + 0.017*\"poland\" + 0.014*\"tyrant\"\n", + "2019-01-31 00:40:35,740 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.040*\"canadian\" + 0.021*\"toronto\" + 0.019*\"hoar\" + 0.019*\"ontario\" + 0.014*\"new\" + 0.013*\"hydrogen\" + 0.012*\"quebec\" + 0.011*\"misericordia\" + 0.011*\"novotná\"\n", + "2019-01-31 00:40:35,746 : INFO : topic diff=0.005464, rho=0.037294\n", + "2019-01-31 00:40:38,513 : INFO : -11.663 per-word bound, 3243.7 perplexity estimate based on a held-out corpus of 2000 documents with 590721 words\n", + "2019-01-31 00:40:38,514 : INFO : PROGRESS: pass 0, at document #1440000/4922894\n", + "2019-01-31 00:40:39,905 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:40,171 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"treeless\" + 0.011*\"denmark\" + 0.011*\"replac\"\n", + "2019-01-31 00:40:40,172 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"francisco\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 00:40:40,173 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.017*\"serv\" + 0.017*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:40:40,174 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.009*\"market\" + 0.009*\"bank\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:40:40,175 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.029*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.017*\"champion\" + 0.016*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"poet\"\n", + "2019-01-31 00:40:40,181 : INFO : topic diff=0.007480, rho=0.037268\n", + "2019-01-31 00:40:40,335 : INFO : PROGRESS: pass 0, at document #1442000/4922894\n", + "2019-01-31 00:40:41,711 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:41,977 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.016*\"physician\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 00:40:41,978 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.014*\"report\" + 0.014*\"bypass\"\n", + "2019-01-31 00:40:41,979 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"march\" + 0.078*\"octob\" + 0.075*\"juli\" + 0.071*\"januari\" + 0.070*\"august\" + 0.070*\"judici\" + 0.070*\"notion\" + 0.070*\"april\" + 0.067*\"decatur\"\n", + "2019-01-31 00:40:41,980 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:40:41,981 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.010*\"tajikistan\" + 0.010*\"sri\" + 0.009*\"alam\"\n", + "2019-01-31 00:40:41,987 : INFO : topic diff=0.004971, rho=0.037242\n", + "2019-01-31 00:40:42,145 : INFO : PROGRESS: pass 0, at document #1444000/4922894\n", + "2019-01-31 00:40:43,578 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:43,845 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.015*\"physician\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 00:40:43,846 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"market\" + 0.009*\"bank\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:40:43,847 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 00:40:43,848 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.025*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"nation\" + 0.018*\"taxpay\" + 0.016*\"théori\"\n", + "2019-01-31 00:40:43,849 : INFO : topic #15 (0.020): 0.011*\"organ\" + 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:40:43,855 : INFO : topic diff=0.005690, rho=0.037216\n", + "2019-01-31 00:40:44,010 : INFO : PROGRESS: pass 0, at document #1446000/4922894\n", + "2019-01-31 00:40:45,401 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:45,671 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.028*\"poison\" + 0.023*\"reprint\" + 0.022*\"personifi\" + 0.020*\"moscow\" + 0.019*\"unfortun\" + 0.017*\"poland\" + 0.014*\"malaysia\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:40:45,673 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.011*\"cathedr\" + 0.009*\"parish\" + 0.009*\"relationship\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:40:45,674 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.043*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.017*\"kim\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 00:40:45,675 : INFO : topic #36 (0.020): 0.012*\"prognosi\" + 0.010*\"network\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"championship\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.007*\"base\"\n", + "2019-01-31 00:40:45,676 : INFO : topic #12 (0.020): 0.008*\"frontal\" + 0.008*\"number\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"theoret\" + 0.006*\"method\"\n", + "2019-01-31 00:40:45,682 : INFO : topic diff=0.005764, rho=0.037190\n", + "2019-01-31 00:40:45,837 : INFO : PROGRESS: pass 0, at document #1448000/4922894\n", + "2019-01-31 00:40:47,217 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:47,483 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.020*\"godaddi\" + 0.017*\"taxpay\" + 0.016*\"candid\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"find\" + 0.012*\"fool\" + 0.011*\"poet\" + 0.011*\"landslid\"\n", + "2019-01-31 00:40:47,485 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"septemb\" + 0.006*\"comic\" + 0.005*\"charact\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"litig\" + 0.004*\"black\"\n", + "2019-01-31 00:40:47,486 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.035*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.015*\"physician\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:40:47,487 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"unionist\" + 0.032*\"american\" + 0.030*\"cotton\" + 0.027*\"new\" + 0.016*\"year\" + 0.013*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:40:47,488 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"acid\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"hormon\" + 0.006*\"treat\"\n", + "2019-01-31 00:40:47,494 : INFO : topic diff=0.007230, rho=0.037165\n", + "2019-01-31 00:40:47,653 : INFO : PROGRESS: pass 0, at document #1450000/4922894\n", + "2019-01-31 00:40:49,053 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:49,319 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.019*\"gener\" + 0.017*\"serv\" + 0.017*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:40:49,320 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.027*\"reconstruct\" + 0.022*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:40:49,321 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:40:49,322 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.015*\"lazi\" + 0.014*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:40:49,324 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:40:49,329 : INFO : topic diff=0.006050, rho=0.037139\n", + "2019-01-31 00:40:49,480 : INFO : PROGRESS: pass 0, at document #1452000/4922894\n", + "2019-01-31 00:40:50,832 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:51,099 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.032*\"priest\" + 0.020*\"quarterli\" + 0.019*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.019*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.013*\"brazil\" + 0.013*\"princ\"\n", + "2019-01-31 00:40:51,100 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.023*\"rivièr\" + 0.017*\"buford\" + 0.013*\"briarwood\" + 0.012*\"histor\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:40:51,101 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.015*\"lazi\" + 0.015*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:40:51,102 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:40:51,103 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 00:40:51,109 : INFO : topic diff=0.005361, rho=0.037113\n", + "2019-01-31 00:40:51,269 : INFO : PROGRESS: pass 0, at document #1454000/4922894\n", + "2019-01-31 00:40:52,706 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:52,973 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.025*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"taxpay\" + 0.018*\"nation\" + 0.017*\"atheist\"\n", + "2019-01-31 00:40:52,974 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.024*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:40:52,975 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.016*\"wind\" + 0.016*\"stop\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"farid\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 00:40:52,976 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.019*\"gener\" + 0.017*\"seri\" + 0.017*\"serv\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:40:52,977 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"hormon\" + 0.006*\"acid\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:40:52,983 : INFO : topic diff=0.007626, rho=0.037088\n", + "2019-01-31 00:40:53,138 : INFO : PROGRESS: pass 0, at document #1456000/4922894\n", + "2019-01-31 00:40:54,516 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:54,783 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.019*\"gener\" + 0.018*\"serv\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:40:54,784 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.010*\"elabor\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.007*\"candid\"\n", + "2019-01-31 00:40:54,785 : INFO : topic #15 (0.020): 0.012*\"organ\" + 0.011*\"small\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:40:54,786 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.009*\"market\" + 0.009*\"bank\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:40:54,787 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.012*\"juan\" + 0.011*\"francisco\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 00:40:54,793 : INFO : topic diff=0.006284, rho=0.037062\n", + "2019-01-31 00:40:54,945 : INFO : PROGRESS: pass 0, at document #1458000/4922894\n", + "2019-01-31 00:40:56,322 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:40:56,588 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.028*\"offic\" + 0.023*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.020*\"serv\" + 0.019*\"member\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:40:56,589 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.015*\"lazi\" + 0.014*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:40:56,591 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"mexico\" + 0.018*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"francisco\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 00:40:56,592 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"battalion\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.007*\"till\" + 0.006*\"king\"\n", + "2019-01-31 00:40:56,593 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"vigour\" + 0.043*\"popolo\" + 0.043*\"tortur\" + 0.030*\"cotton\" + 0.027*\"area\" + 0.023*\"multitud\" + 0.023*\"regim\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:40:56,599 : INFO : topic diff=0.006419, rho=0.037037\n", + "2019-01-31 00:40:59,307 : INFO : -11.946 per-word bound, 3946.2 perplexity estimate based on a held-out corpus of 2000 documents with 576624 words\n", + "2019-01-31 00:40:59,308 : INFO : PROGRESS: pass 0, at document #1460000/4922894\n", + "2019-01-31 00:41:00,695 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:00,962 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.025*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.019*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airmen\" + 0.011*\"airbu\"\n", + "2019-01-31 00:41:00,963 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:41:00,964 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.009*\"bank\" + 0.009*\"market\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.008*\"industri\" + 0.007*\"function\"\n", + "2019-01-31 00:41:00,965 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.043*\"tortur\" + 0.030*\"cotton\" + 0.027*\"area\" + 0.023*\"multitud\" + 0.023*\"regim\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:41:00,966 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.015*\"jewish\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.012*\"der\" + 0.010*\"european\" + 0.009*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:41:00,972 : INFO : topic diff=0.006277, rho=0.037012\n", + "2019-01-31 00:41:01,129 : INFO : PROGRESS: pass 0, at document #1462000/4922894\n", + "2019-01-31 00:41:02,526 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:02,792 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:41:02,793 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:41:02,794 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"western\" + 0.015*\"black\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:41:02,795 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"unfortun\" + 0.020*\"moscow\" + 0.019*\"turin\" + 0.017*\"poland\"\n", + "2019-01-31 00:41:02,796 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.065*\"best\" + 0.037*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"festiv\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:41:02,802 : INFO : topic diff=0.007196, rho=0.036986\n", + "2019-01-31 00:41:02,955 : INFO : PROGRESS: pass 0, at document #1464000/4922894\n", + "2019-01-31 00:41:04,320 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:04,586 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.024*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"order\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\"\n", + "2019-01-31 00:41:04,587 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"god\" + 0.007*\"like\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:41:04,588 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.015*\"loui\" + 0.015*\"lazi\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:41:04,589 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.016*\"wind\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.014*\"damag\" + 0.012*\"treeless\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:41:04,590 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.023*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:41:04,596 : INFO : topic diff=0.006130, rho=0.036961\n", + "2019-01-31 00:41:04,756 : INFO : PROGRESS: pass 0, at document #1466000/4922894\n", + "2019-01-31 00:41:06,137 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:06,403 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.030*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.009*\"tajikistan\" + 0.009*\"start\"\n", + "2019-01-31 00:41:06,405 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.024*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:41:06,406 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.018*\"candid\" + 0.017*\"taxpay\" + 0.016*\"godaddi\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.011*\"landslid\"\n", + "2019-01-31 00:41:06,407 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"god\" + 0.007*\"like\" + 0.006*\"known\"\n", + "2019-01-31 00:41:06,408 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.010*\"gothic\" + 0.010*\"district\"\n", + "2019-01-31 00:41:06,414 : INFO : topic diff=0.006223, rho=0.036936\n", + "2019-01-31 00:41:06,569 : INFO : PROGRESS: pass 0, at document #1468000/4922894\n", + "2019-01-31 00:41:07,939 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:08,208 : INFO : topic #9 (0.020): 0.080*\"bone\" + 0.041*\"american\" + 0.026*\"valour\" + 0.017*\"dutch\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.016*\"player\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 00:41:08,209 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"acid\" + 0.006*\"effect\"\n", + "2019-01-31 00:41:08,210 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"slur\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:41:08,211 : INFO : topic #30 (0.020): 0.039*\"cleveland\" + 0.037*\"leagu\" + 0.029*\"place\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:41:08,212 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:41:08,218 : INFO : topic diff=0.006765, rho=0.036911\n", + "2019-01-31 00:41:08,428 : INFO : PROGRESS: pass 0, at document #1470000/4922894\n", + "2019-01-31 00:41:09,815 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:10,082 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.020*\"unfortun\" + 0.019*\"turin\" + 0.017*\"poland\"\n", + "2019-01-31 00:41:10,083 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"sweden\" + 0.017*\"swedish\" + 0.016*\"wind\" + 0.015*\"damag\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.012*\"huntsvil\" + 0.012*\"treeless\" + 0.011*\"farid\"\n", + "2019-01-31 00:41:10,084 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:41:10,086 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"slur\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:41:10,087 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:41:10,092 : INFO : topic diff=0.005940, rho=0.036886\n", + "2019-01-31 00:41:10,248 : INFO : PROGRESS: pass 0, at document #1472000/4922894\n", + "2019-01-31 00:41:11,659 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:11,926 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.013*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:41:11,927 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:41:11,928 : INFO : topic #14 (0.020): 0.026*\"forc\" + 0.025*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"airmen\"\n", + "2019-01-31 00:41:11,929 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.021*\"moscow\" + 0.020*\"unfortun\" + 0.018*\"turin\" + 0.017*\"poland\"\n", + "2019-01-31 00:41:11,930 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.017*\"jewish\" + 0.014*\"israel\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.012*\"der\" + 0.010*\"european\" + 0.010*\"jeremiah\" + 0.009*\"europ\"\n", + "2019-01-31 00:41:11,936 : INFO : topic diff=0.005696, rho=0.036860\n", + "2019-01-31 00:41:12,087 : INFO : PROGRESS: pass 0, at document #1474000/4922894\n", + "2019-01-31 00:41:13,439 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:13,706 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"district\" + 0.009*\"gothic\"\n", + "2019-01-31 00:41:13,707 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.027*\"son\" + 0.027*\"reconstruct\" + 0.027*\"rel\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:41:13,708 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"championship\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.007*\"base\" + 0.007*\"diggin\"\n", + "2019-01-31 00:41:13,709 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.029*\"offic\" + 0.022*\"minist\" + 0.021*\"nation\" + 0.020*\"serv\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:41:13,710 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.009*\"market\" + 0.009*\"bank\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:41:13,716 : INFO : topic diff=0.006173, rho=0.036835\n", + "2019-01-31 00:41:13,876 : INFO : PROGRESS: pass 0, at document #1476000/4922894\n", + "2019-01-31 00:41:15,302 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:15,567 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.023*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:41:15,568 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.038*\"canadian\" + 0.021*\"toronto\" + 0.019*\"ontario\" + 0.019*\"hoar\" + 0.014*\"new\" + 0.012*\"hydrogen\" + 0.012*\"novotná\" + 0.012*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:41:15,570 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"order\" + 0.009*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\"\n", + "2019-01-31 00:41:15,571 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.022*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:41:15,572 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.034*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"damn\" + 0.017*\"compos\" + 0.014*\"physician\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.011*\"jack\"\n", + "2019-01-31 00:41:15,578 : INFO : topic diff=0.007005, rho=0.036811\n", + "2019-01-31 00:41:15,738 : INFO : PROGRESS: pass 0, at document #1478000/4922894\n", + "2019-01-31 00:41:17,121 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:17,391 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.028*\"offic\" + 0.022*\"minist\" + 0.022*\"nation\" + 0.020*\"member\" + 0.020*\"govern\" + 0.020*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:41:17,392 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:41:17,393 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"gothic\" + 0.009*\"district\"\n", + "2019-01-31 00:41:17,394 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"western\" + 0.015*\"black\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:41:17,395 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.009*\"man\" + 0.007*\"gestur\" + 0.006*\"septemb\" + 0.006*\"charact\" + 0.005*\"dixi\" + 0.005*\"comic\" + 0.005*\"blue\" + 0.004*\"appear\" + 0.004*\"black\"\n", + "2019-01-31 00:41:17,401 : INFO : topic diff=0.006131, rho=0.036786\n", + "2019-01-31 00:41:20,102 : INFO : -11.685 per-word bound, 3292.0 perplexity estimate based on a held-out corpus of 2000 documents with 552756 words\n", + "2019-01-31 00:41:20,103 : INFO : PROGRESS: pass 0, at document #1480000/4922894\n", + "2019-01-31 00:41:21,495 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:21,762 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"militari\" + 0.006*\"till\" + 0.006*\"pour\"\n", + "2019-01-31 00:41:21,763 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 00:41:21,764 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.049*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.016*\"lazi\" + 0.015*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:41:21,765 : INFO : topic #49 (0.020): 0.040*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\" + 0.009*\"start\"\n", + "2019-01-31 00:41:21,766 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.028*\"offic\" + 0.023*\"minist\" + 0.022*\"nation\" + 0.020*\"member\" + 0.020*\"govern\" + 0.020*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.016*\"chickasaw\"\n", + "2019-01-31 00:41:21,772 : INFO : topic diff=0.005522, rho=0.036761\n", + "2019-01-31 00:41:21,934 : INFO : PROGRESS: pass 0, at document #1482000/4922894\n", + "2019-01-31 00:41:23,367 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:23,633 : INFO : topic #9 (0.020): 0.079*\"bone\" + 0.041*\"american\" + 0.025*\"valour\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.017*\"folei\" + 0.016*\"player\" + 0.015*\"english\" + 0.013*\"simpler\" + 0.013*\"acrimoni\"\n", + "2019-01-31 00:41:23,634 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.013*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"daughter\"\n", + "2019-01-31 00:41:23,635 : INFO : topic #37 (0.020): 0.009*\"love\" + 0.009*\"man\" + 0.007*\"gestur\" + 0.006*\"septemb\" + 0.006*\"charact\" + 0.005*\"comic\" + 0.005*\"dixi\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"madison\"\n", + "2019-01-31 00:41:23,637 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.014*\"selma\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:41:23,638 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.027*\"woman\" + 0.026*\"olymp\" + 0.025*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"nation\" + 0.018*\"taxpay\" + 0.017*\"alic\"\n", + "2019-01-31 00:41:23,644 : INFO : topic diff=0.006173, rho=0.036736\n", + "2019-01-31 00:41:23,801 : INFO : PROGRESS: pass 0, at document #1484000/4922894\n", + "2019-01-31 00:41:25,176 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:25,442 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.006*\"utopian\" + 0.006*\"measur\"\n", + "2019-01-31 00:41:25,443 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 00:41:25,444 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.018*\"candid\" + 0.017*\"taxpay\" + 0.014*\"godaddi\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.010*\"poet\"\n", + "2019-01-31 00:41:25,444 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:41:25,446 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.009*\"market\" + 0.009*\"produc\" + 0.009*\"bank\" + 0.008*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:41:25,451 : INFO : topic diff=0.006195, rho=0.036711\n", + "2019-01-31 00:41:25,607 : INFO : PROGRESS: pass 0, at document #1486000/4922894\n", + "2019-01-31 00:41:26,986 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:27,253 : INFO : topic #48 (0.020): 0.076*\"sens\" + 0.075*\"march\" + 0.075*\"octob\" + 0.069*\"juli\" + 0.068*\"januari\" + 0.067*\"april\" + 0.066*\"notion\" + 0.066*\"august\" + 0.065*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 00:41:27,254 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.024*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:41:27,255 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"year\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:41:27,256 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"storag\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:41:27,257 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.016*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"vacant\" + 0.008*\"north\" + 0.008*\"land\"\n", + "2019-01-31 00:41:27,263 : INFO : topic diff=0.006561, rho=0.036686\n", + "2019-01-31 00:41:27,419 : INFO : PROGRESS: pass 0, at document #1488000/4922894\n", + "2019-01-31 00:41:28,809 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:29,075 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.019*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"maria\"\n", + "2019-01-31 00:41:29,076 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.012*\"juan\" + 0.011*\"lizard\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n", + "2019-01-31 00:41:29,077 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.037*\"canadian\" + 0.021*\"toronto\" + 0.019*\"hoar\" + 0.018*\"ontario\" + 0.014*\"new\" + 0.013*\"hydrogen\" + 0.013*\"novotná\" + 0.012*\"misericordia\" + 0.011*\"quebec\"\n", + "2019-01-31 00:41:29,078 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"utopian\" + 0.006*\"method\" + 0.006*\"measur\"\n", + "2019-01-31 00:41:29,079 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.028*\"offic\" + 0.023*\"minist\" + 0.022*\"nation\" + 0.020*\"member\" + 0.020*\"govern\" + 0.019*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:41:29,085 : INFO : topic diff=0.005363, rho=0.036662\n", + "2019-01-31 00:41:29,237 : INFO : PROGRESS: pass 0, at document #1490000/4922894\n", + "2019-01-31 00:41:30,614 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:30,880 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:41:30,881 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"australian\" + 0.023*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:41:30,882 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.017*\"republ\" + 0.017*\"polici\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 00:41:30,883 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"vol\" + 0.013*\"israel\" + 0.013*\"der\" + 0.010*\"europ\" + 0.010*\"european\" + 0.009*\"itali\"\n", + "2019-01-31 00:41:30,884 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:41:30,890 : INFO : topic diff=0.005486, rho=0.036637\n", + "2019-01-31 00:41:31,045 : INFO : PROGRESS: pass 0, at document #1492000/4922894\n", + "2019-01-31 00:41:32,421 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:32,688 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.016*\"martin\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 00:41:32,689 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.029*\"incumb\" + 0.014*\"anglo\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"sri\" + 0.011*\"muskoge\" + 0.009*\"affection\" + 0.009*\"khalsa\"\n", + "2019-01-31 00:41:32,690 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.024*\"cortic\" + 0.019*\"act\" + 0.019*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"order\" + 0.009*\"replac\" + 0.008*\"legal\"\n", + "2019-01-31 00:41:32,691 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.066*\"best\" + 0.036*\"yawn\" + 0.027*\"jacksonvil\" + 0.025*\"japanes\" + 0.024*\"festiv\" + 0.022*\"noll\" + 0.018*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:41:32,692 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.010*\"market\" + 0.009*\"produc\" + 0.009*\"bank\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:41:32,698 : INFO : topic diff=0.005837, rho=0.036613\n", + "2019-01-31 00:41:32,853 : INFO : PROGRESS: pass 0, at document #1494000/4922894\n", + "2019-01-31 00:41:34,235 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:34,502 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.066*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.026*\"japanes\" + 0.024*\"festiv\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:41:34,503 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"pour\" + 0.015*\"depress\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"candid\" + 0.007*\"produc\"\n", + "2019-01-31 00:41:34,503 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.032*\"priest\" + 0.020*\"grammat\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"count\"\n", + "2019-01-31 00:41:34,505 : INFO : topic #15 (0.020): 0.011*\"organ\" + 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:41:34,506 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:41:34,512 : INFO : topic diff=0.006679, rho=0.036588\n", + "2019-01-31 00:41:34,663 : INFO : PROGRESS: pass 0, at document #1496000/4922894\n", + "2019-01-31 00:41:36,020 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:36,286 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 00:41:36,287 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.023*\"rivièr\" + 0.016*\"buford\" + 0.012*\"briarwood\" + 0.012*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:41:36,288 : INFO : topic #11 (0.020): 0.026*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:41:36,289 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.019*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"cathedr\" + 0.009*\"relationship\" + 0.009*\"centuri\" + 0.009*\"parish\"\n", + "2019-01-31 00:41:36,290 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.032*\"priest\" + 0.020*\"grammat\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"maria\"\n", + "2019-01-31 00:41:36,296 : INFO : topic diff=0.005765, rho=0.036564\n", + "2019-01-31 00:41:36,453 : INFO : PROGRESS: pass 0, at document #1498000/4922894\n", + "2019-01-31 00:41:37,850 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:38,116 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.012*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:41:38,117 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n", + "2019-01-31 00:41:38,118 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"pour\" + 0.015*\"depress\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.007*\"candid\"\n", + "2019-01-31 00:41:38,119 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.009*\"develop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"championship\" + 0.007*\"diggin\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:41:38,120 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 00:41:38,126 : INFO : topic diff=0.006082, rho=0.036539\n", + "2019-01-31 00:41:40,875 : INFO : -11.689 per-word bound, 3300.9 perplexity estimate based on a held-out corpus of 2000 documents with 582129 words\n", + "2019-01-31 00:41:40,876 : INFO : PROGRESS: pass 0, at document #1500000/4922894\n", + "2019-01-31 00:41:42,286 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:42,552 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.019*\"act\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"order\" + 0.009*\"replac\" + 0.008*\"legal\"\n", + "2019-01-31 00:41:42,553 : INFO : topic #30 (0.020): 0.038*\"cleveland\" + 0.037*\"leagu\" + 0.028*\"place\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:41:42,554 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.013*\"blur\" + 0.013*\"scot\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:41:42,555 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.011*\"pop\" + 0.009*\"develop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"championship\" + 0.007*\"uruguayan\" + 0.007*\"diggin\"\n", + "2019-01-31 00:41:42,556 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"like\" + 0.006*\"english\" + 0.006*\"known\"\n", + "2019-01-31 00:41:42,562 : INFO : topic diff=0.005669, rho=0.036515\n", + "2019-01-31 00:41:42,721 : INFO : PROGRESS: pass 0, at document #1502000/4922894\n", + "2019-01-31 00:41:44,127 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:44,393 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:41:44,394 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.024*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:41:44,395 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.010*\"market\" + 0.009*\"produc\" + 0.009*\"bank\" + 0.008*\"yawn\" + 0.008*\"industri\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:41:44,397 : INFO : topic #30 (0.020): 0.038*\"cleveland\" + 0.037*\"leagu\" + 0.028*\"place\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:41:44,398 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.016*\"mount\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"north\" + 0.008*\"land\"\n", + "2019-01-31 00:41:44,405 : INFO : topic diff=0.006691, rho=0.036491\n", + "2019-01-31 00:41:44,620 : INFO : PROGRESS: pass 0, at document #1504000/4922894\n", + "2019-01-31 00:41:46,054 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:46,320 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.013*\"driver\" + 0.013*\"godaddi\" + 0.012*\"fool\" + 0.011*\"ret\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.011*\"squatter\"\n", + "2019-01-31 00:41:46,321 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.021*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.013*\"francisco\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 00:41:46,323 : INFO : topic #48 (0.020): 0.076*\"sens\" + 0.076*\"octob\" + 0.075*\"march\" + 0.070*\"juli\" + 0.068*\"januari\" + 0.067*\"april\" + 0.067*\"notion\" + 0.066*\"august\" + 0.066*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 00:41:46,324 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"storag\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:41:46,325 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.024*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:41:46,331 : INFO : topic diff=0.005575, rho=0.036466\n", + "2019-01-31 00:41:46,488 : INFO : PROGRESS: pass 0, at document #1506000/4922894\n", + "2019-01-31 00:41:47,896 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:48,163 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:41:48,164 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"battalion\" + 0.009*\"aza\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"king\"\n", + "2019-01-31 00:41:48,165 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:41:48,167 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.011*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"like\" + 0.006*\"god\" + 0.006*\"known\"\n", + "2019-01-31 00:41:48,168 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.028*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:41:48,174 : INFO : topic diff=0.006276, rho=0.036442\n", + "2019-01-31 00:41:48,332 : INFO : PROGRESS: pass 0, at document #1508000/4922894\n", + "2019-01-31 00:41:49,754 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:50,020 : INFO : topic #31 (0.020): 0.058*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"player\" + 0.024*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"folei\" + 0.012*\"leagu\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:41:50,022 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:41:50,023 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:41:50,024 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.013*\"driver\" + 0.013*\"godaddi\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.011*\"squatter\"\n", + "2019-01-31 00:41:50,025 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.020*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.013*\"santa\" + 0.013*\"francisco\" + 0.013*\"soviet\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 00:41:50,031 : INFO : topic diff=0.005304, rho=0.036418\n", + "2019-01-31 00:41:50,190 : INFO : PROGRESS: pass 0, at document #1510000/4922894\n", + "2019-01-31 00:41:51,602 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:51,869 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:41:51,870 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.032*\"unionist\" + 0.031*\"cotton\" + 0.031*\"american\" + 0.027*\"new\" + 0.016*\"year\" + 0.014*\"california\" + 0.012*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:41:51,871 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.039*\"canadian\" + 0.022*\"hoar\" + 0.021*\"toronto\" + 0.018*\"ontario\" + 0.014*\"hydrogen\" + 0.014*\"new\" + 0.012*\"novotná\" + 0.012*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:41:51,872 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.028*\"incumb\" + 0.013*\"anglo\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"alam\" + 0.010*\"sri\" + 0.010*\"muskoge\" + 0.009*\"affection\"\n", + "2019-01-31 00:41:51,873 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:41:51,879 : INFO : topic diff=0.007031, rho=0.036394\n", + "2019-01-31 00:41:52,034 : INFO : PROGRESS: pass 0, at document #1512000/4922894\n", + "2019-01-31 00:41:53,429 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:53,695 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:41:53,697 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:41:53,698 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:41:53,699 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.027*\"london\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:41:53,700 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.030*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.016*\"martin\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 00:41:53,706 : INFO : topic diff=0.005473, rho=0.036370\n", + "2019-01-31 00:41:53,860 : INFO : PROGRESS: pass 0, at document #1514000/4922894\n", + "2019-01-31 00:41:55,240 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:55,506 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.041*\"tortur\" + 0.030*\"cotton\" + 0.028*\"area\" + 0.024*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:41:55,507 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.042*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.023*\"korea\" + 0.022*\"korean\" + 0.018*\"sourc\" + 0.016*\"leah\" + 0.014*\"kim\" + 0.014*\"articul\"\n", + "2019-01-31 00:41:55,508 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.009*\"cathedr\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 00:41:55,509 : INFO : topic #34 (0.020): 0.074*\"start\" + 0.032*\"unionist\" + 0.031*\"cotton\" + 0.031*\"american\" + 0.027*\"new\" + 0.016*\"year\" + 0.014*\"california\" + 0.012*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:41:55,510 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.019*\"taxpay\" + 0.017*\"candid\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"godaddi\" + 0.011*\"tornado\" + 0.011*\"find\" + 0.010*\"landslid\"\n", + "2019-01-31 00:41:55,516 : INFO : topic diff=0.005304, rho=0.036346\n", + "2019-01-31 00:41:55,672 : INFO : PROGRESS: pass 0, at document #1516000/4922894\n", + "2019-01-31 00:41:57,073 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:57,339 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.005*\"differ\"\n", + "2019-01-31 00:41:57,341 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"reprint\" + 0.025*\"personifi\" + 0.023*\"poison\" + 0.021*\"moscow\" + 0.019*\"unfortun\" + 0.016*\"poland\" + 0.015*\"turin\"\n", + "2019-01-31 00:41:57,342 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:41:57,343 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.039*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.018*\"ontario\" + 0.014*\"new\" + 0.014*\"hydrogen\" + 0.013*\"novotná\" + 0.012*\"misericordia\" + 0.011*\"quebec\"\n", + "2019-01-31 00:41:57,344 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:41:57,349 : INFO : topic diff=0.006034, rho=0.036322\n", + "2019-01-31 00:41:57,505 : INFO : PROGRESS: pass 0, at document #1518000/4922894\n", + "2019-01-31 00:41:58,899 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:41:59,165 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"warmth\" + 0.017*\"area\" + 0.017*\"lagrang\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.008*\"vacant\" + 0.008*\"north\" + 0.008*\"lobe\"\n", + "2019-01-31 00:41:59,167 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.019*\"taxpay\" + 0.017*\"candid\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"godaddi\" + 0.012*\"fool\" + 0.011*\"tornado\" + 0.011*\"find\" + 0.010*\"squatter\"\n", + "2019-01-31 00:41:59,168 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"nation\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 00:41:59,169 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.006*\"charact\" + 0.006*\"septemb\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.005*\"dixi\" + 0.004*\"admit\"\n", + "2019-01-31 00:41:59,170 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.009*\"cytokin\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.007*\"championship\" + 0.007*\"diggin\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:41:59,176 : INFO : topic diff=0.005246, rho=0.036298\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:42:01,852 : INFO : -11.877 per-word bound, 3762.5 perplexity estimate based on a held-out corpus of 2000 documents with 535638 words\n", + "2019-01-31 00:42:01,852 : INFO : PROGRESS: pass 0, at document #1520000/4922894\n", + "2019-01-31 00:42:03,233 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:03,500 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.035*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"olympo\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 00:42:03,501 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:42:03,502 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.035*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"personifi\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.021*\"moscow\" + 0.019*\"unfortun\" + 0.016*\"poland\" + 0.014*\"turin\"\n", + "2019-01-31 00:42:03,503 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"life\" + 0.014*\"bone\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"daughter\"\n", + "2019-01-31 00:42:03,505 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.021*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"centuri\"\n", + "2019-01-31 00:42:03,510 : INFO : topic diff=0.004966, rho=0.036274\n", + "2019-01-31 00:42:03,670 : INFO : PROGRESS: pass 0, at document #1522000/4922894\n", + "2019-01-31 00:42:05,434 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:05,702 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:42:05,703 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.039*\"canadian\" + 0.021*\"toronto\" + 0.021*\"hoar\" + 0.018*\"ontario\" + 0.014*\"new\" + 0.014*\"hydrogen\" + 0.013*\"misericordia\" + 0.013*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 00:42:05,704 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.043*\"american\" + 0.025*\"valour\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"folei\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 00:42:05,705 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.017*\"illicit\" + 0.016*\"colder\" + 0.015*\"western\" + 0.015*\"black\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"depress\"\n", + "2019-01-31 00:42:05,706 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.004*\"end\" + 0.004*\"like\" + 0.004*\"man\" + 0.004*\"call\"\n", + "2019-01-31 00:42:05,712 : INFO : topic diff=0.005709, rho=0.036250\n", + "2019-01-31 00:42:05,870 : INFO : PROGRESS: pass 0, at document #1524000/4922894\n", + "2019-01-31 00:42:07,731 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:07,999 : INFO : topic #39 (0.020): 0.050*\"canada\" + 0.039*\"canadian\" + 0.021*\"toronto\" + 0.021*\"hoar\" + 0.018*\"ontario\" + 0.014*\"new\" + 0.014*\"hydrogen\" + 0.013*\"misericordia\" + 0.012*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 00:42:08,000 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 00:42:08,001 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.043*\"american\" + 0.025*\"valour\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"folei\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 00:42:08,002 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:42:08,003 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.037*\"leagu\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:42:08,009 : INFO : topic diff=0.006597, rho=0.036226\n", + "2019-01-31 00:42:08,170 : INFO : PROGRESS: pass 0, at document #1526000/4922894\n", + "2019-01-31 00:42:09,648 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:09,915 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.013*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:42:09,916 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:42:09,917 : INFO : topic #16 (0.020): 0.048*\"king\" + 0.030*\"priest\" + 0.019*\"grammat\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.018*\"duke\" + 0.015*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"maria\"\n", + "2019-01-31 00:42:09,918 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.021*\"sail\" + 0.021*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:42:09,919 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.016*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"godaddi\" + 0.010*\"squatter\"\n", + "2019-01-31 00:42:09,925 : INFO : topic diff=0.006089, rho=0.036202\n", + "2019-01-31 00:42:10,079 : INFO : PROGRESS: pass 0, at document #1528000/4922894\n", + "2019-01-31 00:42:11,456 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:11,723 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.026*\"valour\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"folei\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 00:42:11,724 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.029*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.017*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.012*\"winner\"\n", + "2019-01-31 00:42:11,725 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.022*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:42:11,726 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"man\" + 0.004*\"call\"\n", + "2019-01-31 00:42:11,727 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:42:11,733 : INFO : topic diff=0.006765, rho=0.036179\n", + "2019-01-31 00:42:11,891 : INFO : PROGRESS: pass 0, at document #1530000/4922894\n", + "2019-01-31 00:42:13,296 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:13,563 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.037*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:42:13,564 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.029*\"cotton\" + 0.028*\"area\" + 0.024*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:42:13,565 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"swedish\" + 0.018*\"sweden\" + 0.017*\"norwai\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"huntsvil\" + 0.011*\"farid\" + 0.011*\"denmark\"\n", + "2019-01-31 00:42:13,566 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.021*\"sail\" + 0.021*\"jean\" + 0.019*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.010*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:42:13,567 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:42:13,573 : INFO : topic diff=0.005706, rho=0.036155\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:42:13,731 : INFO : PROGRESS: pass 0, at document #1532000/4922894\n", + "2019-01-31 00:42:15,138 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:15,404 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.037*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.011*\"schmitz\"\n", + "2019-01-31 00:42:15,405 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.013*\"report\" + 0.013*\"seaport\" + 0.013*\"bypass\"\n", + "2019-01-31 00:42:15,406 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"charact\" + 0.006*\"septemb\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"dixi\" + 0.004*\"admit\"\n", + "2019-01-31 00:42:15,407 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"like\" + 0.007*\"english\" + 0.007*\"known\"\n", + "2019-01-31 00:42:15,408 : INFO : topic #39 (0.020): 0.049*\"canada\" + 0.038*\"canadian\" + 0.021*\"hoar\" + 0.021*\"ontario\" + 0.021*\"toronto\" + 0.014*\"new\" + 0.013*\"hydrogen\" + 0.013*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:42:15,414 : INFO : topic diff=0.005029, rho=0.036131\n", + "2019-01-31 00:42:15,628 : INFO : PROGRESS: pass 0, at document #1534000/4922894\n", + "2019-01-31 00:42:17,029 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:17,295 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"unionist\" + 0.031*\"american\" + 0.030*\"cotton\" + 0.027*\"new\" + 0.016*\"year\" + 0.014*\"california\" + 0.012*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:42:17,296 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.069*\"best\" + 0.036*\"yawn\" + 0.027*\"jacksonvil\" + 0.024*\"japanes\" + 0.024*\"festiv\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:42:17,297 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.024*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.007*\"light\" + 0.007*\"depress\"\n", + "2019-01-31 00:42:17,298 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.037*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:42:17,299 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.019*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:42:17,305 : INFO : topic diff=0.005688, rho=0.036108\n", + "2019-01-31 00:42:17,460 : INFO : PROGRESS: pass 0, at document #1536000/4922894\n", + "2019-01-31 00:42:18,844 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:19,111 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.014*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"will\"\n", + "2019-01-31 00:42:19,112 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.006*\"charact\" + 0.006*\"septemb\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"dixi\" + 0.004*\"admit\"\n", + "2019-01-31 00:42:19,113 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"man\"\n", + "2019-01-31 00:42:19,114 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.024*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:42:19,115 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.024*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:42:19,121 : INFO : topic diff=0.004895, rho=0.036084\n", + "2019-01-31 00:42:19,277 : INFO : PROGRESS: pass 0, at document #1538000/4922894\n", + "2019-01-31 00:42:20,672 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:20,938 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.040*\"american\" + 0.026*\"valour\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"folei\" + 0.016*\"player\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:42:20,940 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.022*\"serv\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.020*\"member\" + 0.019*\"gener\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:42:20,941 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:42:20,942 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.010*\"europ\" + 0.010*\"european\" + 0.009*\"itali\"\n", + "2019-01-31 00:42:20,943 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.019*\"taxpay\" + 0.017*\"candid\" + 0.015*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 00:42:20,949 : INFO : topic diff=0.005520, rho=0.036061\n", + "2019-01-31 00:42:23,608 : INFO : -11.625 per-word bound, 3157.7 perplexity estimate based on a held-out corpus of 2000 documents with 517770 words\n", + "2019-01-31 00:42:23,609 : INFO : PROGRESS: pass 0, at document #1540000/4922894\n", + "2019-01-31 00:42:24,992 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:25,258 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.012*\"winner\"\n", + "2019-01-31 00:42:25,259 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:42:25,261 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.020*\"christian\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"centuri\" + 0.009*\"parish\"\n", + "2019-01-31 00:42:25,262 : INFO : topic #29 (0.020): 0.026*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.010*\"bank\" + 0.010*\"market\" + 0.009*\"produc\" + 0.008*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:42:25,263 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.035*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"reprint\" + 0.025*\"personifi\" + 0.024*\"poison\" + 0.020*\"moscow\" + 0.019*\"unfortun\" + 0.016*\"poland\" + 0.015*\"czech\"\n", + "2019-01-31 00:42:25,268 : INFO : topic diff=0.005680, rho=0.036037\n", + "2019-01-31 00:42:25,425 : INFO : PROGRESS: pass 0, at document #1542000/4922894\n", + "2019-01-31 00:42:26,804 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:27,071 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.023*\"medal\" + 0.023*\"men\" + 0.021*\"event\" + 0.019*\"nation\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 00:42:27,072 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.012*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"cytokin\" + 0.007*\"diggin\" + 0.007*\"championship\" + 0.007*\"includ\"\n", + "2019-01-31 00:42:27,073 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.039*\"tortur\" + 0.029*\"cotton\" + 0.027*\"area\" + 0.024*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:42:27,074 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"like\" + 0.007*\"known\"\n", + "2019-01-31 00:42:27,075 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.024*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.013*\"record\" + 0.011*\"blind\" + 0.007*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:42:27,081 : INFO : topic diff=0.005784, rho=0.036014\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:42:27,234 : INFO : PROGRESS: pass 0, at document #1544000/4922894\n", + "2019-01-31 00:42:28,602 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:28,869 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.014*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:42:28,870 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.037*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:42:28,871 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.024*\"poison\" + 0.019*\"moscow\" + 0.019*\"unfortun\" + 0.016*\"poland\" + 0.015*\"czech\"\n", + "2019-01-31 00:42:28,872 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.040*\"line\" + 0.036*\"arsen\" + 0.035*\"raid\" + 0.027*\"museo\" + 0.022*\"traceabl\" + 0.018*\"serv\" + 0.015*\"exhaust\" + 0.014*\"pain\" + 0.012*\"oper\"\n", + "2019-01-31 00:42:28,873 : INFO : topic #29 (0.020): 0.026*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.010*\"market\" + 0.010*\"bank\" + 0.009*\"produc\" + 0.008*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:42:28,879 : INFO : topic diff=0.005157, rho=0.035991\n", + "2019-01-31 00:42:29,037 : INFO : PROGRESS: pass 0, at document #1546000/4922894\n", + "2019-01-31 00:42:30,433 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:30,700 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.070*\"best\" + 0.036*\"yawn\" + 0.027*\"jacksonvil\" + 0.024*\"festiv\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:42:30,701 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:42:30,702 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.007*\"encyclopedia\" + 0.006*\"produc\"\n", + "2019-01-31 00:42:30,703 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:42:30,704 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.039*\"line\" + 0.036*\"arsen\" + 0.035*\"raid\" + 0.028*\"museo\" + 0.022*\"traceabl\" + 0.017*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.013*\"oper\"\n", + "2019-01-31 00:42:30,710 : INFO : topic diff=0.005858, rho=0.035968\n", + "2019-01-31 00:42:30,868 : INFO : PROGRESS: pass 0, at document #1548000/4922894\n", + "2019-01-31 00:42:32,263 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:32,529 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.023*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:42:32,531 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.012*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"championship\" + 0.008*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 00:42:32,532 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"serv\" + 0.021*\"nation\" + 0.020*\"member\" + 0.019*\"govern\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:42:32,533 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"year\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:42:32,534 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.024*\"fifteenth\" + 0.017*\"illicit\" + 0.016*\"black\" + 0.016*\"colder\" + 0.015*\"western\" + 0.013*\"record\" + 0.010*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n", + "2019-01-31 00:42:32,540 : INFO : topic diff=0.005734, rho=0.035944\n", + "2019-01-31 00:42:32,694 : INFO : PROGRESS: pass 0, at document #1550000/4922894\n", + "2019-01-31 00:42:34,063 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:34,329 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"militari\" + 0.006*\"pour\" + 0.006*\"govern\"\n", + "2019-01-31 00:42:34,330 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:42:34,332 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:42:34,332 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.018*\"swedish\" + 0.018*\"sweden\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.012*\"huntsvil\" + 0.010*\"farid\" + 0.010*\"denmark\"\n", + "2019-01-31 00:42:34,334 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"man\" + 0.004*\"call\"\n", + "2019-01-31 00:42:34,339 : INFO : topic diff=0.006208, rho=0.035921\n", + "2019-01-31 00:42:34,494 : INFO : PROGRESS: pass 0, at document #1552000/4922894\n", + "2019-01-31 00:42:35,870 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:36,137 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:42:36,138 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:42:36,139 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.039*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"folei\" + 0.016*\"player\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:42:36,140 : INFO : topic #24 (0.020): 0.042*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:42:36,141 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.017*\"damn\" + 0.015*\"olympo\" + 0.013*\"physician\" + 0.013*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 00:42:36,147 : INFO : topic diff=0.006295, rho=0.035898\n", + "2019-01-31 00:42:36,313 : INFO : PROGRESS: pass 0, at document #1554000/4922894\n", + "2019-01-31 00:42:37,707 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:37,973 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.070*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.025*\"japanes\" + 0.024*\"festiv\" + 0.020*\"noll\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:42:37,974 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.010*\"europ\" + 0.009*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 00:42:37,976 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.006*\"differ\"\n", + "2019-01-31 00:42:37,977 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:42:37,978 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"north\" + 0.008*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 00:42:37,984 : INFO : topic diff=0.005194, rho=0.035875\n", + "2019-01-31 00:42:38,141 : INFO : PROGRESS: pass 0, at document #1556000/4922894\n", + "2019-01-31 00:42:39,550 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:39,815 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.070*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"japanes\" + 0.024*\"festiv\" + 0.020*\"noll\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:42:39,816 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.026*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:42:39,817 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:42:39,818 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"hormon\" + 0.006*\"dress\" + 0.006*\"effect\"\n", + "2019-01-31 00:42:39,819 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:42:39,825 : INFO : topic diff=0.006061, rho=0.035852\n", + "2019-01-31 00:42:39,980 : INFO : PROGRESS: pass 0, at document #1558000/4922894\n", + "2019-01-31 00:42:41,368 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:41,635 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:42:41,636 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"farid\" + 0.010*\"treeless\"\n", + "2019-01-31 00:42:41,637 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.022*\"serv\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:42:41,638 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"crew\" + 0.009*\"sai\"\n", + "2019-01-31 00:42:41,639 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:42:41,645 : INFO : topic diff=0.005323, rho=0.035829\n", + "2019-01-31 00:42:44,356 : INFO : -11.668 per-word bound, 3254.0 perplexity estimate based on a held-out corpus of 2000 documents with 566242 words\n", + "2019-01-31 00:42:44,357 : INFO : PROGRESS: pass 0, at document #1560000/4922894\n", + "2019-01-31 00:42:45,747 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:46,014 : INFO : topic #31 (0.020): 0.057*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 00:42:46,015 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.010*\"europ\" + 0.009*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 00:42:46,017 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.006*\"differ\"\n", + "2019-01-31 00:42:46,018 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.024*\"cortic\" + 0.022*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.009*\"polaris\" + 0.008*\"replac\" + 0.008*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 00:42:46,019 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.039*\"line\" + 0.036*\"arsen\" + 0.034*\"raid\" + 0.030*\"museo\" + 0.022*\"traceabl\" + 0.017*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"oper\"\n", + "2019-01-31 00:42:46,024 : INFO : topic diff=0.004552, rho=0.035806\n", + "2019-01-31 00:42:46,185 : INFO : PROGRESS: pass 0, at document #1562000/4922894\n", + "2019-01-31 00:42:47,614 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:47,880 : INFO : topic #1 (0.020): 0.059*\"china\" + 0.047*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.013*\"articul\"\n", + "2019-01-31 00:42:47,881 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.069*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"festiv\" + 0.020*\"noll\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:42:47,882 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:42:47,883 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.024*\"personifi\" + 0.020*\"unfortun\" + 0.019*\"moscow\" + 0.016*\"poland\" + 0.014*\"czech\"\n", + "2019-01-31 00:42:47,884 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.012*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"championship\" + 0.007*\"includ\" + 0.007*\"diggin\"\n", + "2019-01-31 00:42:47,890 : INFO : topic diff=0.005663, rho=0.035783\n", + "2019-01-31 00:42:48,046 : INFO : PROGRESS: pass 0, at document #1564000/4922894\n", + "2019-01-31 00:42:49,439 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:49,705 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"land\" + 0.008*\"sourc\"\n", + "2019-01-31 00:42:49,706 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.011*\"sri\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"iran\"\n", + "2019-01-31 00:42:49,707 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.013*\"soviet\" + 0.012*\"francisco\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"josé\"\n", + "2019-01-31 00:42:49,708 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.040*\"tortur\" + 0.038*\"cotton\" + 0.027*\"area\" + 0.023*\"regim\" + 0.023*\"citi\" + 0.023*\"multitud\" + 0.019*\"cede\"\n", + "2019-01-31 00:42:49,709 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"market\" + 0.010*\"bank\" + 0.009*\"produc\" + 0.008*\"industri\" + 0.008*\"yawn\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:42:49,715 : INFO : topic diff=0.005417, rho=0.035760\n", + "2019-01-31 00:42:49,927 : INFO : PROGRESS: pass 0, at document #1566000/4922894\n", + "2019-01-31 00:42:51,307 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:51,573 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.017*\"damn\" + 0.014*\"olympo\" + 0.013*\"physician\" + 0.012*\"orchestr\" + 0.012*\"jack\"\n", + "2019-01-31 00:42:51,574 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:42:51,575 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.011*\"sri\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 00:42:51,576 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.032*\"american\" + 0.032*\"unionist\" + 0.029*\"cotton\" + 0.028*\"new\" + 0.017*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:42:51,577 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.007*\"charact\" + 0.006*\"septemb\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"dixi\" + 0.004*\"black\"\n", + "2019-01-31 00:42:51,583 : INFO : topic diff=0.004586, rho=0.035737\n", + "2019-01-31 00:42:51,741 : INFO : PROGRESS: pass 0, at document #1568000/4922894\n", + "2019-01-31 00:42:53,157 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:53,423 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.016*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:42:53,424 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:42:53,425 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.042*\"popolo\" + 0.040*\"tortur\" + 0.039*\"cotton\" + 0.027*\"area\" + 0.023*\"multitud\" + 0.023*\"regim\" + 0.023*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:42:53,426 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.023*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"liber\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 00:42:53,427 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:42:53,433 : INFO : topic diff=0.006657, rho=0.035714\n", + "2019-01-31 00:42:53,587 : INFO : PROGRESS: pass 0, at document #1570000/4922894\n", + "2019-01-31 00:42:54,960 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:55,226 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"sourc\"\n", + "2019-01-31 00:42:55,227 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:42:55,228 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.040*\"tortur\" + 0.038*\"cotton\" + 0.027*\"area\" + 0.023*\"multitud\" + 0.023*\"regim\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:42:55,229 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:42:55,230 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.010*\"market\" + 0.009*\"bank\" + 0.009*\"produc\" + 0.008*\"industri\" + 0.008*\"yawn\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:42:55,236 : INFO : topic diff=0.005161, rho=0.035692\n", + "2019-01-31 00:42:55,394 : INFO : PROGRESS: pass 0, at document #1572000/4922894\n", + "2019-01-31 00:42:56,797 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:57,064 : INFO : topic #1 (0.020): 0.059*\"china\" + 0.048*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.013*\"articul\"\n", + "2019-01-31 00:42:57,065 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"hormon\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:42:57,066 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:42:57,067 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"woman\" + 0.028*\"champion\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"taxpay\" + 0.018*\"nation\" + 0.018*\"atheist\"\n", + "2019-01-31 00:42:57,068 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"offic\" + 0.026*\"minist\" + 0.021*\"nation\" + 0.021*\"serv\" + 0.020*\"govern\" + 0.020*\"member\" + 0.018*\"gener\" + 0.015*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:42:57,074 : INFO : topic diff=0.005756, rho=0.035669\n", + "2019-01-31 00:42:57,228 : INFO : PROGRESS: pass 0, at document #1574000/4922894\n", + "2019-01-31 00:42:58,597 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:42:58,863 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.023*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.013*\"liber\" + 0.013*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 00:42:58,864 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.028*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"year\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:42:58,865 : INFO : topic #2 (0.020): 0.045*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"sai\"\n", + "2019-01-31 00:42:58,866 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.024*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:42:58,868 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:42:58,873 : INFO : topic diff=0.007868, rho=0.035646\n", + "2019-01-31 00:42:59,031 : INFO : PROGRESS: pass 0, at document #1576000/4922894\n", + "2019-01-31 00:43:00,428 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:00,694 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:43:00,695 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.024*\"fifteenth\" + 0.017*\"illicit\" + 0.016*\"black\" + 0.016*\"western\" + 0.015*\"colder\" + 0.014*\"record\" + 0.010*\"blind\" + 0.008*\"green\" + 0.007*\"depress\"\n", + "2019-01-31 00:43:00,696 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.021*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"will\"\n", + "2019-01-31 00:43:00,697 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.025*\"personifi\" + 0.024*\"poison\" + 0.020*\"moscow\" + 0.019*\"unfortun\" + 0.016*\"poland\" + 0.015*\"malaysia\"\n", + "2019-01-31 00:43:00,698 : INFO : topic #39 (0.020): 0.049*\"canada\" + 0.038*\"canadian\" + 0.021*\"hoar\" + 0.021*\"toronto\" + 0.020*\"ontario\" + 0.014*\"new\" + 0.014*\"quebec\" + 0.014*\"hydrogen\" + 0.013*\"misericordia\" + 0.011*\"novotná\"\n", + "2019-01-31 00:43:00,704 : INFO : topic diff=0.006180, rho=0.035624\n", + "2019-01-31 00:43:00,862 : INFO : PROGRESS: pass 0, at document #1578000/4922894\n", + "2019-01-31 00:43:02,272 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:02,538 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:43:02,539 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:43:02,540 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.016*\"wind\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.012*\"treeless\" + 0.010*\"farid\"\n", + "2019-01-31 00:43:02,541 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"sai\"\n", + "2019-01-31 00:43:02,542 : INFO : topic #29 (0.020): 0.024*\"companhia\" + 0.011*\"million\" + 0.010*\"busi\" + 0.009*\"produc\" + 0.009*\"market\" + 0.009*\"bank\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:43:02,548 : INFO : topic diff=0.005579, rho=0.035601\n", + "2019-01-31 00:43:05,272 : INFO : -11.703 per-word bound, 3333.7 perplexity estimate based on a held-out corpus of 2000 documents with 559860 words\n", + "2019-01-31 00:43:05,273 : INFO : PROGRESS: pass 0, at document #1580000/4922894\n", + "2019-01-31 00:43:06,683 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:06,949 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.019*\"champion\" + 0.019*\"tourist\" + 0.017*\"chamber\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"open\" + 0.013*\"tiepolo\"\n", + "2019-01-31 00:43:06,950 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.022*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:43:06,951 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.026*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:43:06,953 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"man\" + 0.004*\"call\"\n", + "2019-01-31 00:43:06,954 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 00:43:06,960 : INFO : topic diff=0.005444, rho=0.035578\n", + "2019-01-31 00:43:07,118 : INFO : PROGRESS: pass 0, at document #1582000/4922894\n", + "2019-01-31 00:43:08,532 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:08,799 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.017*\"warmth\" + 0.017*\"area\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.009*\"north\" + 0.008*\"palmer\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:43:08,800 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.032*\"priest\" + 0.020*\"grammat\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.013*\"kingdom\" + 0.013*\"maria\" + 0.012*\"portugues\"\n", + "2019-01-31 00:43:08,801 : INFO : topic #34 (0.020): 0.074*\"start\" + 0.032*\"unionist\" + 0.032*\"american\" + 0.028*\"cotton\" + 0.028*\"new\" + 0.017*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:43:08,802 : INFO : topic #48 (0.020): 0.078*\"octob\" + 0.078*\"sens\" + 0.073*\"march\" + 0.068*\"juli\" + 0.067*\"august\" + 0.067*\"januari\" + 0.066*\"april\" + 0.066*\"notion\" + 0.063*\"judici\" + 0.061*\"decatur\"\n", + "2019-01-31 00:43:08,803 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"man\" + 0.004*\"call\"\n", + "2019-01-31 00:43:08,809 : INFO : topic diff=0.005779, rho=0.035556\n", + "2019-01-31 00:43:08,972 : INFO : PROGRESS: pass 0, at document #1584000/4922894\n", + "2019-01-31 00:43:10,419 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:10,685 : INFO : topic #8 (0.020): 0.027*\"act\" + 0.026*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.008*\"replac\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:43:10,686 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"ret\" + 0.017*\"candid\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"squatter\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 00:43:10,687 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.033*\"priest\" + 0.020*\"grammat\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.013*\"kingdom\" + 0.013*\"maria\" + 0.012*\"portugues\"\n", + "2019-01-31 00:43:10,688 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:43:10,689 : INFO : topic #34 (0.020): 0.074*\"start\" + 0.032*\"unionist\" + 0.031*\"american\" + 0.028*\"new\" + 0.028*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:43:10,695 : INFO : topic diff=0.006703, rho=0.035533\n", + "2019-01-31 00:43:10,856 : INFO : PROGRESS: pass 0, at document #1586000/4922894\n", + "2019-01-31 00:43:12,276 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:12,543 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:43:12,544 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.025*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.011*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.010*\"ruler\"\n", + "2019-01-31 00:43:12,545 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.007*\"charact\" + 0.006*\"septemb\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"black\" + 0.004*\"dixi\"\n", + "2019-01-31 00:43:12,546 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.040*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.021*\"unfortun\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"malaysia\"\n", + "2019-01-31 00:43:12,547 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.009*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:43:12,552 : INFO : topic diff=0.006777, rho=0.035511\n", + "2019-01-31 00:43:12,710 : INFO : PROGRESS: pass 0, at document #1588000/4922894\n", + "2019-01-31 00:43:14,106 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:14,372 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.019*\"champion\" + 0.019*\"tourist\" + 0.016*\"chamber\" + 0.016*\"taxpay\" + 0.014*\"martin\" + 0.014*\"open\" + 0.013*\"tiepolo\"\n", + "2019-01-31 00:43:14,373 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:43:14,374 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:43:14,376 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"gestur\" + 0.007*\"charact\" + 0.006*\"septemb\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"black\" + 0.004*\"dixi\"\n", + "2019-01-31 00:43:14,377 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:43:14,382 : INFO : topic diff=0.005561, rho=0.035489\n", + "2019-01-31 00:43:14,534 : INFO : PROGRESS: pass 0, at document #1590000/4922894\n", + "2019-01-31 00:43:15,886 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:16,153 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"festiv\" + 0.021*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:43:16,154 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.014*\"vol\" + 0.014*\"israel\" + 0.013*\"berlin\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.010*\"europ\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 00:43:16,155 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.019*\"tourist\" + 0.019*\"champion\" + 0.016*\"chamber\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"open\" + 0.013*\"tiepolo\"\n", + "2019-01-31 00:43:16,156 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.017*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"squatter\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 00:43:16,157 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.040*\"line\" + 0.036*\"arsen\" + 0.035*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.014*\"exhaust\" + 0.013*\"pain\" + 0.013*\"oper\"\n", + "2019-01-31 00:43:16,163 : INFO : topic diff=0.005877, rho=0.035466\n", + "2019-01-31 00:43:16,315 : INFO : PROGRESS: pass 0, at document #1592000/4922894\n", + "2019-01-31 00:43:17,692 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:17,958 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.019*\"champion\" + 0.019*\"tourist\" + 0.018*\"chamber\" + 0.016*\"open\" + 0.016*\"taxpay\" + 0.016*\"martin\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:43:17,959 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.021*\"christian\" + 0.021*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.010*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"relationship\"\n", + "2019-01-31 00:43:17,960 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.018*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.015*\"damag\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.012*\"treeless\" + 0.012*\"denmark\"\n", + "2019-01-31 00:43:17,961 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.040*\"american\" + 0.026*\"valour\" + 0.019*\"polit\" + 0.018*\"folei\" + 0.017*\"dutch\" + 0.017*\"player\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:43:17,962 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 00:43:17,968 : INFO : topic diff=0.006631, rho=0.035444\n", + "2019-01-31 00:43:18,122 : INFO : PROGRESS: pass 0, at document #1594000/4922894\n", + "2019-01-31 00:43:19,494 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:19,761 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.023*\"voluntari\" + 0.021*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"selma\" + 0.013*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:43:19,762 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.007*\"develop\" + 0.007*\"produc\"\n", + "2019-01-31 00:43:19,763 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.038*\"canadian\" + 0.022*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.014*\"hydrogen\" + 0.014*\"new\" + 0.014*\"quebec\" + 0.014*\"misericordia\" + 0.012*\"novotná\"\n", + "2019-01-31 00:43:19,764 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:43:19,765 : INFO : topic #45 (0.020): 0.024*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"black\" + 0.017*\"colder\" + 0.016*\"illicit\" + 0.016*\"western\" + 0.014*\"record\" + 0.011*\"blind\" + 0.008*\"green\" + 0.007*\"light\"\n", + "2019-01-31 00:43:19,771 : INFO : topic diff=0.005868, rho=0.035422\n", + "2019-01-31 00:43:19,927 : INFO : PROGRESS: pass 0, at document #1596000/4922894\n", + "2019-01-31 00:43:21,315 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:21,582 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.015*\"damag\" + 0.014*\"norwegian\" + 0.012*\"huntsvil\" + 0.012*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 00:43:21,583 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.040*\"line\" + 0.036*\"arsen\" + 0.035*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.013*\"oper\"\n", + "2019-01-31 00:43:21,584 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.022*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.011*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:43:21,584 : INFO : topic #1 (0.020): 0.059*\"china\" + 0.048*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.017*\"korean\" + 0.017*\"sourc\" + 0.014*\"shirin\" + 0.014*\"leah\" + 0.013*\"ashvil\"\n", + "2019-01-31 00:43:21,585 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:43:21,591 : INFO : topic diff=0.006117, rho=0.035400\n", + "2019-01-31 00:43:21,802 : INFO : PROGRESS: pass 0, at document #1598000/4922894\n", + "2019-01-31 00:43:23,205 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:23,471 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"sack\" + 0.007*\"later\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"man\" + 0.004*\"call\"\n", + "2019-01-31 00:43:23,472 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:43:23,473 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.024*\"new\" + 0.024*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:43:23,474 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.042*\"franc\" + 0.028*\"pari\" + 0.021*\"sail\" + 0.020*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.011*\"loui\" + 0.011*\"piec\" + 0.007*\"wine\"\n", + "2019-01-31 00:43:23,475 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.022*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.011*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:43:23,481 : INFO : topic diff=0.005936, rho=0.035377\n", + "2019-01-31 00:43:26,203 : INFO : -11.629 per-word bound, 3166.1 perplexity estimate based on a held-out corpus of 2000 documents with 544776 words\n", + "2019-01-31 00:43:26,203 : INFO : PROGRESS: pass 0, at document #1600000/4922894\n", + "2019-01-31 00:43:27,612 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:27,878 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.042*\"franc\" + 0.028*\"pari\" + 0.021*\"sail\" + 0.020*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.007*\"wine\"\n", + "2019-01-31 00:43:27,879 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:43:27,880 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.019*\"champion\" + 0.018*\"tourist\" + 0.018*\"chamber\" + 0.016*\"taxpay\" + 0.016*\"martin\" + 0.015*\"open\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:43:27,881 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 00:43:27,882 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"festiv\" + 0.021*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:43:27,888 : INFO : topic diff=0.005878, rho=0.035355\n", + "2019-01-31 00:43:28,044 : INFO : PROGRESS: pass 0, at document #1602000/4922894\n", + "2019-01-31 00:43:29,438 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:29,705 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"minist\" + 0.026*\"offic\" + 0.023*\"serv\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.015*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:43:29,706 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.019*\"quarterli\" + 0.019*\"duke\" + 0.018*\"rotterdam\" + 0.016*\"idiosyncrat\" + 0.013*\"maria\" + 0.012*\"portugues\" + 0.012*\"kingdom\"\n", + "2019-01-31 00:43:29,707 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"man\" + 0.004*\"call\"\n", + "2019-01-31 00:43:29,708 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"selma\" + 0.014*\"republ\" + 0.013*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 00:43:29,709 : INFO : topic #48 (0.020): 0.078*\"octob\" + 0.077*\"sens\" + 0.075*\"march\" + 0.069*\"januari\" + 0.068*\"juli\" + 0.068*\"april\" + 0.068*\"august\" + 0.068*\"notion\" + 0.064*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 00:43:29,715 : INFO : topic diff=0.006346, rho=0.035333\n", + "2019-01-31 00:43:29,872 : INFO : PROGRESS: pass 0, at document #1604000/4922894\n", + "2019-01-31 00:43:31,272 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:31,538 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.009*\"north\" + 0.008*\"palmer\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:43:31,539 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:43:31,540 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"selma\" + 0.014*\"republ\" + 0.013*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 00:43:31,541 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.026*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:43:31,542 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.012*\"prognosi\" + 0.010*\"pop\" + 0.009*\"softwar\" + 0.009*\"develop\" + 0.008*\"championship\" + 0.008*\"user\" + 0.008*\"cytokin\" + 0.007*\"diggin\" + 0.007*\"brio\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:43:31,548 : INFO : topic diff=0.006311, rho=0.035311\n", + "2019-01-31 00:43:31,705 : INFO : PROGRESS: pass 0, at document #1606000/4922894\n", + "2019-01-31 00:43:33,107 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:33,373 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.047*\"franc\" + 0.028*\"pari\" + 0.022*\"sail\" + 0.020*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.007*\"wine\"\n", + "2019-01-31 00:43:33,374 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.047*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 00:43:33,375 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.019*\"champion\" + 0.019*\"tourist\" + 0.018*\"chamber\" + 0.016*\"taxpay\" + 0.016*\"martin\" + 0.015*\"open\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:43:33,376 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:43:33,377 : INFO : topic #2 (0.020): 0.044*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.011*\"blur\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:43:33,383 : INFO : topic diff=0.006580, rho=0.035289\n", + "2019-01-31 00:43:33,540 : INFO : PROGRESS: pass 0, at document #1608000/4922894\n", + "2019-01-31 00:43:34,941 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:35,208 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:43:35,209 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:43:35,210 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.039*\"line\" + 0.036*\"arsen\" + 0.035*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.014*\"exhaust\" + 0.013*\"pain\" + 0.013*\"oper\"\n", + "2019-01-31 00:43:35,211 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"festiv\" + 0.021*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:43:35,212 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"gestur\" + 0.007*\"charact\" + 0.007*\"comic\" + 0.007*\"septemb\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"black\" + 0.004*\"workplac\"\n", + "2019-01-31 00:43:35,218 : INFO : topic diff=0.005495, rho=0.035267\n", + "2019-01-31 00:43:35,376 : INFO : PROGRESS: pass 0, at document #1610000/4922894\n", + "2019-01-31 00:43:36,768 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:37,035 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.015*\"ret\" + 0.012*\"fool\" + 0.012*\"driver\" + 0.012*\"tornado\" + 0.012*\"squatter\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 00:43:37,036 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.038*\"american\" + 0.027*\"valour\" + 0.018*\"polit\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:43:37,037 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.038*\"canadian\" + 0.022*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.014*\"hydrogen\" + 0.014*\"new\" + 0.013*\"quebec\" + 0.013*\"misericordia\" + 0.012*\"novotná\"\n", + "2019-01-31 00:43:37,038 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:43:37,039 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.013*\"jewish\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.010*\"europ\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 00:43:37,045 : INFO : topic diff=0.006482, rho=0.035245\n", + "2019-01-31 00:43:37,200 : INFO : PROGRESS: pass 0, at document #1612000/4922894\n", + "2019-01-31 00:43:38,586 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:38,852 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 00:43:38,854 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"socialist\"\n", + "2019-01-31 00:43:38,855 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"seaport\" + 0.014*\"republ\" + 0.013*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 00:43:38,856 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.010*\"europ\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 00:43:38,857 : INFO : topic #48 (0.020): 0.079*\"octob\" + 0.077*\"sens\" + 0.074*\"march\" + 0.067*\"august\" + 0.067*\"notion\" + 0.067*\"januari\" + 0.067*\"april\" + 0.067*\"juli\" + 0.064*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 00:43:38,863 : INFO : topic diff=0.005898, rho=0.035223\n", + "2019-01-31 00:43:39,017 : INFO : PROGRESS: pass 0, at document #1614000/4922894\n", + "2019-01-31 00:43:40,405 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:40,672 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:43:40,673 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.032*\"priest\" + 0.020*\"quarterli\" + 0.019*\"grammat\" + 0.019*\"duke\" + 0.019*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.013*\"maria\" + 0.013*\"princ\" + 0.012*\"count\"\n", + "2019-01-31 00:43:40,674 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"socialist\"\n", + "2019-01-31 00:43:40,675 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"seaport\" + 0.014*\"republ\" + 0.013*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 00:43:40,676 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.024*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:43:40,682 : INFO : topic diff=0.005655, rho=0.035202\n", + "2019-01-31 00:43:40,840 : INFO : PROGRESS: pass 0, at document #1616000/4922894\n", + "2019-01-31 00:43:42,246 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:42,513 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.024*\"serv\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.019*\"member\" + 0.018*\"gener\" + 0.015*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:43:42,514 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:43:42,515 : INFO : topic #45 (0.020): 0.024*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"black\" + 0.017*\"western\" + 0.017*\"colder\" + 0.016*\"illicit\" + 0.015*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.008*\"green\"\n", + "2019-01-31 00:43:42,516 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.027*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"festiv\" + 0.021*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:43:42,517 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:43:42,523 : INFO : topic diff=0.004504, rho=0.035180\n", + "2019-01-31 00:43:42,678 : INFO : PROGRESS: pass 0, at document #1618000/4922894\n", + "2019-01-31 00:43:44,059 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:43:44,325 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.026*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.017*\"korean\" + 0.017*\"sourc\" + 0.015*\"shirin\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 00:43:44,326 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.035*\"cotton\" + 0.032*\"unionist\" + 0.030*\"american\" + 0.028*\"new\" + 0.017*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.012*\"north\" + 0.012*\"warrior\"\n", + "2019-01-31 00:43:44,327 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:43:44,328 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.039*\"line\" + 0.037*\"arsen\" + 0.034*\"raid\" + 0.028*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.015*\"exhaust\" + 0.014*\"pain\" + 0.013*\"gai\"\n", + "2019-01-31 00:43:44,329 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:43:44,335 : INFO : topic diff=0.006087, rho=0.035158\n", + "2019-01-31 00:43:47,049 : INFO : -11.657 per-word bound, 3228.5 perplexity estimate based on a held-out corpus of 2000 documents with 564370 words\n", + "2019-01-31 00:43:47,050 : INFO : PROGRESS: pass 0, at document #1620000/4922894\n", + "2019-01-31 00:43:48,425 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:48,691 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.011*\"blur\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:43:48,692 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"seaport\" + 0.013*\"republ\" + 0.013*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 00:43:48,693 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.012*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\" + 0.009*\"strategist\"\n", + "2019-01-31 00:43:48,694 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.011*\"myspac\"\n", + "2019-01-31 00:43:48,695 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.015*\"wind\" + 0.015*\"norwai\" + 0.015*\"treeless\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.012*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 00:43:48,701 : INFO : topic diff=0.007010, rho=0.035136\n", + "2019-01-31 00:43:48,857 : INFO : PROGRESS: pass 0, at document #1622000/4922894\n", + "2019-01-31 00:43:50,235 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:50,502 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:43:50,503 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.024*\"taxpay\" + 0.020*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 00:43:50,504 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"woman\" + 0.028*\"champion\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"alic\" + 0.018*\"gold\"\n", + "2019-01-31 00:43:50,505 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:43:50,506 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.011*\"coalit\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:43:50,512 : INFO : topic diff=0.005434, rho=0.035115\n", + "2019-01-31 00:43:50,672 : INFO : PROGRESS: pass 0, at document #1624000/4922894\n", + "2019-01-31 00:43:52,083 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:52,349 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:43:52,350 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.046*\"franc\" + 0.027*\"pari\" + 0.022*\"sail\" + 0.020*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.011*\"loui\" + 0.011*\"piec\" + 0.008*\"convei\"\n", + "2019-01-31 00:43:52,351 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.032*\"priest\" + 0.019*\"quarterli\" + 0.019*\"grammat\" + 0.018*\"duke\" + 0.018*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.013*\"princ\" + 0.013*\"maria\" + 0.012*\"count\"\n", + "2019-01-31 00:43:52,352 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.037*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.019*\"ontario\" + 0.014*\"hydrogen\" + 0.014*\"new\" + 0.013*\"misericordia\" + 0.013*\"quebec\" + 0.012*\"novotná\"\n", + "2019-01-31 00:43:52,353 : INFO : topic #17 (0.020): 0.073*\"church\" + 0.021*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"historiographi\" + 0.010*\"romanc\" + 0.009*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:43:52,359 : INFO : topic diff=0.006906, rho=0.035093\n", + "2019-01-31 00:43:52,523 : INFO : PROGRESS: pass 0, at document #1626000/4922894\n", + "2019-01-31 00:43:53,968 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:54,234 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:43:54,236 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:43:54,236 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:43:54,237 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"seaport\" + 0.013*\"report\" + 0.013*\"selma\"\n", + "2019-01-31 00:43:54,238 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.009*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:43:54,244 : INFO : topic diff=0.005354, rho=0.035072\n", + "2019-01-31 00:43:54,401 : INFO : PROGRESS: pass 0, at document #1628000/4922894\n", + "2019-01-31 00:43:55,790 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:56,057 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"champion\" + 0.019*\"tourist\" + 0.018*\"chamber\" + 0.016*\"winner\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.015*\"open\"\n", + "2019-01-31 00:43:56,059 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.027*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"year\" + 0.009*\"dai\"\n", + "2019-01-31 00:43:56,060 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.037*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.019*\"ontario\" + 0.014*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"new\" + 0.013*\"quebec\" + 0.012*\"novotná\"\n", + "2019-01-31 00:43:56,061 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.011*\"myspac\"\n", + "2019-01-31 00:43:56,063 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:43:56,069 : INFO : topic diff=0.006475, rho=0.035050\n", + "2019-01-31 00:43:56,228 : INFO : PROGRESS: pass 0, at document #1630000/4922894\n", + "2019-01-31 00:43:57,635 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:57,902 : INFO : topic #45 (0.020): 0.025*\"jpg\" + 0.023*\"fifteenth\" + 0.016*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.014*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.007*\"green\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:43:57,903 : INFO : topic #48 (0.020): 0.079*\"octob\" + 0.077*\"sens\" + 0.074*\"march\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.068*\"januari\" + 0.067*\"august\" + 0.067*\"april\" + 0.064*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 00:43:57,904 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.069*\"best\" + 0.035*\"yawn\" + 0.027*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"noll\" + 0.022*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 00:43:57,905 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:43:57,907 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"known\" + 0.007*\"english\" + 0.007*\"god\"\n", + "2019-01-31 00:43:57,913 : INFO : topic diff=0.005909, rho=0.035028\n", + "2019-01-31 00:43:58,131 : INFO : PROGRESS: pass 0, at document #1632000/4922894\n", + "2019-01-31 00:43:59,542 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:43:59,809 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"cultur\" + 0.007*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:43:59,810 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.045*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.016*\"shirin\" + 0.015*\"leah\" + 0.014*\"kim\"\n", + "2019-01-31 00:43:59,811 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"seaport\" + 0.013*\"republ\" + 0.013*\"report\" + 0.013*\"selma\"\n", + "2019-01-31 00:43:59,812 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:43:59,814 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.010*\"yard\"\n", + "2019-01-31 00:43:59,819 : INFO : topic diff=0.004654, rho=0.035007\n", + "2019-01-31 00:43:59,970 : INFO : PROGRESS: pass 0, at document #1634000/4922894\n", + "2019-01-31 00:44:01,320 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:01,586 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"god\"\n", + "2019-01-31 00:44:01,587 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:44:01,588 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:44:01,590 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.027*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"year\" + 0.010*\"lobe\" + 0.009*\"dai\"\n", + "2019-01-31 00:44:01,591 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.020*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"word\" + 0.012*\"physician\"\n", + "2019-01-31 00:44:01,597 : INFO : topic diff=0.006440, rho=0.034986\n", + "2019-01-31 00:44:01,754 : INFO : PROGRESS: pass 0, at document #1636000/4922894\n", + "2019-01-31 00:44:03,159 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:03,425 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.041*\"american\" + 0.028*\"valour\" + 0.019*\"folei\" + 0.018*\"player\" + 0.018*\"polit\" + 0.018*\"dutch\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:44:03,426 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"god\"\n", + "2019-01-31 00:44:03,427 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"method\" + 0.006*\"mode\" + 0.006*\"measur\"\n", + "2019-01-31 00:44:03,429 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.013*\"soviet\" + 0.012*\"francisco\" + 0.012*\"santa\" + 0.011*\"mexican\" + 0.011*\"lizard\" + 0.011*\"juan\"\n", + "2019-01-31 00:44:03,430 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 00:44:03,436 : INFO : topic diff=0.004858, rho=0.034964\n", + "2019-01-31 00:44:03,595 : INFO : PROGRESS: pass 0, at document #1638000/4922894\n", + "2019-01-31 00:44:04,992 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:05,259 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"method\" + 0.006*\"measur\" + 0.006*\"mode\"\n", + "2019-01-31 00:44:05,260 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 00:44:05,261 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:44:05,262 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"militari\" + 0.006*\"till\" + 0.006*\"pour\"\n", + "2019-01-31 00:44:05,263 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"seaport\" + 0.014*\"report\" + 0.013*\"bypass\" + 0.013*\"republ\"\n", + "2019-01-31 00:44:05,269 : INFO : topic diff=0.005580, rho=0.034943\n", + "2019-01-31 00:44:07,929 : INFO : -11.761 per-word bound, 3471.8 perplexity estimate based on a held-out corpus of 2000 documents with 523897 words\n", + "2019-01-31 00:44:07,929 : INFO : PROGRESS: pass 0, at document #1640000/4922894\n", + "2019-01-31 00:44:09,305 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:09,572 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.037*\"arsen\" + 0.032*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.015*\"exhaust\" + 0.013*\"pain\" + 0.013*\"gai\"\n", + "2019-01-31 00:44:09,573 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.017*\"feel\" + 0.015*\"male\" + 0.012*\"hostil\" + 0.012*\"plaisir\" + 0.009*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:44:09,574 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.046*\"franc\" + 0.033*\"pari\" + 0.022*\"sail\" + 0.020*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.007*\"convei\"\n", + "2019-01-31 00:44:09,576 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:44:09,577 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.007*\"charact\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"septemb\" + 0.005*\"blue\" + 0.005*\"appear\" + 0.004*\"anim\" + 0.004*\"black\"\n", + "2019-01-31 00:44:09,583 : INFO : topic diff=0.005457, rho=0.034922\n", + "2019-01-31 00:44:09,739 : INFO : PROGRESS: pass 0, at document #1642000/4922894\n", + "2019-01-31 00:44:11,128 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:11,394 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.024*\"serv\" + 0.020*\"nation\" + 0.019*\"member\" + 0.019*\"govern\" + 0.018*\"gener\" + 0.015*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:44:11,395 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.040*\"tortur\" + 0.032*\"cotton\" + 0.026*\"area\" + 0.024*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:44:11,396 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.004*\"like\" + 0.004*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:44:11,398 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.022*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:44:11,399 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.009*\"market\" + 0.009*\"bank\" + 0.009*\"industri\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:44:11,405 : INFO : topic diff=0.005346, rho=0.034900\n", + "2019-01-31 00:44:11,558 : INFO : PROGRESS: pass 0, at document #1644000/4922894\n", + "2019-01-31 00:44:12,943 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:13,209 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.016*\"sail\" + 0.010*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"romanc\" + 0.009*\"centuri\"\n", + "2019-01-31 00:44:13,211 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"softwar\" + 0.008*\"brio\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"championship\" + 0.007*\"uruguayan\" + 0.007*\"cytokin\"\n", + "2019-01-31 00:44:13,212 : INFO : topic #29 (0.020): 0.025*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.009*\"market\" + 0.009*\"bank\" + 0.009*\"industri\" + 0.009*\"produc\" + 0.008*\"yawn\" + 0.007*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:44:13,213 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"foam\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:44:13,214 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.045*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.023*\"korea\" + 0.020*\"korean\" + 0.018*\"sourc\" + 0.015*\"shirin\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 00:44:13,220 : INFO : topic diff=0.005054, rho=0.034879\n", + "2019-01-31 00:44:13,376 : INFO : PROGRESS: pass 0, at document #1646000/4922894\n", + "2019-01-31 00:44:14,769 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:15,036 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.006*\"mode\" + 0.006*\"measur\"\n", + "2019-01-31 00:44:15,037 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:44:15,038 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.016*\"wind\" + 0.016*\"norwai\" + 0.015*\"norwegian\" + 0.013*\"damag\" + 0.013*\"farid\" + 0.013*\"turkish\" + 0.012*\"treeless\"\n", + "2019-01-31 00:44:15,040 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:44:15,041 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"champion\" + 0.019*\"tourist\" + 0.018*\"chamber\" + 0.016*\"open\" + 0.016*\"winner\" + 0.015*\"taxpay\" + 0.015*\"martin\"\n", + "2019-01-31 00:44:15,047 : INFO : topic diff=0.006107, rho=0.034858\n", + "2019-01-31 00:44:15,204 : INFO : PROGRESS: pass 0, at document #1648000/4922894\n", + "2019-01-31 00:44:16,598 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:16,865 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.028*\"champion\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:44:16,866 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.012*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:44:16,867 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.007*\"septemb\" + 0.005*\"appear\" + 0.005*\"blue\" + 0.005*\"anim\" + 0.004*\"black\"\n", + "2019-01-31 00:44:16,868 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.024*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:44:16,869 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 00:44:16,875 : INFO : topic diff=0.005742, rho=0.034837\n", + "2019-01-31 00:44:17,027 : INFO : PROGRESS: pass 0, at document #1650000/4922894\n", + "2019-01-31 00:44:18,376 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:18,642 : INFO : topic #39 (0.020): 0.053*\"canada\" + 0.038*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.019*\"ontario\" + 0.014*\"new\" + 0.014*\"hydrogen\" + 0.013*\"misericordia\" + 0.013*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 00:44:18,643 : INFO : topic #2 (0.020): 0.046*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 00:44:18,644 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.031*\"priest\" + 0.024*\"duke\" + 0.020*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.015*\"count\" + 0.013*\"portugues\" + 0.012*\"princ\"\n", + "2019-01-31 00:44:18,646 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.023*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"replac\" + 0.007*\"judaism\"\n", + "2019-01-31 00:44:18,647 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.045*\"vigour\" + 0.045*\"popolo\" + 0.040*\"tortur\" + 0.031*\"cotton\" + 0.026*\"area\" + 0.024*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:44:18,652 : INFO : topic diff=0.005770, rho=0.034816\n", + "2019-01-31 00:44:18,809 : INFO : PROGRESS: pass 0, at document #1652000/4922894\n", + "2019-01-31 00:44:20,208 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:20,474 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.012*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.010*\"itali\"\n", + "2019-01-31 00:44:20,475 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.027*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.009*\"task\" + 0.009*\"pseudo\" + 0.009*\"start\"\n", + "2019-01-31 00:44:20,476 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.037*\"arsen\" + 0.034*\"raid\" + 0.028*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.013*\"oper\"\n", + "2019-01-31 00:44:20,477 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"softwar\" + 0.008*\"brio\" + 0.008*\"develop\" + 0.008*\"championship\" + 0.008*\"diggin\" + 0.007*\"uruguayan\" + 0.007*\"cytokin\"\n", + "2019-01-31 00:44:20,478 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:44:20,484 : INFO : topic diff=0.005179, rho=0.034794\n", + "2019-01-31 00:44:20,641 : INFO : PROGRESS: pass 0, at document #1654000/4922894\n", + "2019-01-31 00:44:22,024 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:22,291 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:44:22,292 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"airmen\"\n", + "2019-01-31 00:44:22,293 : INFO : topic #48 (0.020): 0.080*\"octob\" + 0.078*\"sens\" + 0.078*\"march\" + 0.071*\"juli\" + 0.071*\"notion\" + 0.070*\"januari\" + 0.070*\"april\" + 0.069*\"august\" + 0.067*\"judici\" + 0.065*\"decatur\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:44:22,294 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.023*\"serv\" + 0.020*\"nation\" + 0.020*\"member\" + 0.019*\"govern\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:44:22,295 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"lizard\" + 0.011*\"francisco\" + 0.011*\"mexican\" + 0.011*\"carlo\"\n", + "2019-01-31 00:44:22,301 : INFO : topic diff=0.006476, rho=0.034773\n", + "2019-01-31 00:44:22,460 : INFO : PROGRESS: pass 0, at document #1656000/4922894\n", + "2019-01-31 00:44:23,868 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:24,135 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 00:44:24,136 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"taxpay\" + 0.019*\"candid\" + 0.013*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"fool\" + 0.011*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 00:44:24,137 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.039*\"american\" + 0.029*\"valour\" + 0.019*\"player\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.018*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:44:24,138 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.011*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\" + 0.009*\"poll\"\n", + "2019-01-31 00:44:24,139 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.040*\"tortur\" + 0.030*\"cotton\" + 0.026*\"area\" + 0.024*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:44:24,145 : INFO : topic diff=0.006871, rho=0.034752\n", + "2019-01-31 00:44:24,305 : INFO : PROGRESS: pass 0, at document #1658000/4922894\n", + "2019-01-31 00:44:25,697 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:25,963 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.047*\"franc\" + 0.033*\"pari\" + 0.021*\"sail\" + 0.021*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.007*\"convei\"\n", + "2019-01-31 00:44:25,964 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.019*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:44:25,965 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.008*\"armi\" + 0.008*\"till\" + 0.007*\"empath\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 00:44:25,966 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.025*\"wife\" + 0.020*\"champion\" + 0.019*\"tourist\" + 0.018*\"chamber\" + 0.015*\"open\" + 0.015*\"taxpay\" + 0.015*\"winner\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:44:25,967 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.031*\"cotton\" + 0.026*\"area\" + 0.024*\"multitud\" + 0.024*\"regim\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:44:25,973 : INFO : topic diff=0.005480, rho=0.034731\n", + "2019-01-31 00:44:28,706 : INFO : -11.791 per-word bound, 3544.0 perplexity estimate based on a held-out corpus of 2000 documents with 570585 words\n", + "2019-01-31 00:44:28,707 : INFO : PROGRESS: pass 0, at document #1660000/4922894\n", + "2019-01-31 00:44:30,121 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:30,387 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.011*\"myspac\"\n", + "2019-01-31 00:44:30,388 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 00:44:30,389 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.029*\"workplac\" + 0.027*\"champion\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"rainfal\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:44:30,390 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"veget\" + 0.009*\"mode\" + 0.007*\"encyclopedia\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"produc\"\n", + "2019-01-31 00:44:30,392 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.012*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:44:30,397 : INFO : topic diff=0.006492, rho=0.034711\n", + "2019-01-31 00:44:30,614 : INFO : PROGRESS: pass 0, at document #1662000/4922894\n", + "2019-01-31 00:44:32,025 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:32,292 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:44:32,293 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.011*\"myspac\"\n", + "2019-01-31 00:44:32,294 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.042*\"line\" + 0.037*\"arsen\" + 0.034*\"raid\" + 0.028*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.013*\"pain\" + 0.012*\"gai\"\n", + "2019-01-31 00:44:32,295 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.013*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:44:32,296 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.030*\"priest\" + 0.025*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.019*\"quarterli\" + 0.017*\"grammat\" + 0.015*\"count\" + 0.012*\"brazil\" + 0.012*\"princ\"\n", + "2019-01-31 00:44:32,302 : INFO : topic diff=0.005054, rho=0.034690\n", + "2019-01-31 00:44:32,454 : INFO : PROGRESS: pass 0, at document #1664000/4922894\n", + "2019-01-31 00:44:33,803 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:34,069 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.027*\"jacksonvil\" + 0.024*\"japanes\" + 0.024*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:44:34,070 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:44:34,071 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:44:34,072 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.034*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:44:34,073 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.039*\"american\" + 0.028*\"valour\" + 0.019*\"player\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.018*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:44:34,079 : INFO : topic diff=0.004756, rho=0.034669\n", + "2019-01-31 00:44:34,228 : INFO : PROGRESS: pass 0, at document #1666000/4922894\n", + "2019-01-31 00:44:35,576 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:35,843 : INFO : topic #2 (0.020): 0.045*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:44:35,844 : INFO : topic #46 (0.020): 0.018*\"swedish\" + 0.018*\"sweden\" + 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"norwai\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.013*\"treeless\" + 0.012*\"farid\" + 0.012*\"turkish\"\n", + "2019-01-31 00:44:35,845 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"mode\" + 0.006*\"method\" + 0.006*\"southern\"\n", + "2019-01-31 00:44:35,846 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"armi\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"militari\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:44:35,847 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:44:35,853 : INFO : topic diff=0.005096, rho=0.034648\n", + "2019-01-31 00:44:36,006 : INFO : PROGRESS: pass 0, at document #1668000/4922894\n", + "2019-01-31 00:44:37,599 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:37,865 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:44:37,866 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:44:37,868 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.039*\"american\" + 0.029*\"valour\" + 0.021*\"dutch\" + 0.019*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:44:37,869 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 00:44:37,870 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:44:37,876 : INFO : topic diff=0.005313, rho=0.034627\n", + "2019-01-31 00:44:38,035 : INFO : PROGRESS: pass 0, at document #1670000/4922894\n", + "2019-01-31 00:44:39,441 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:39,707 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.011*\"pop\" + 0.008*\"championship\" + 0.008*\"brio\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"cytokin\" + 0.008*\"uruguayan\"\n", + "2019-01-31 00:44:39,708 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.039*\"american\" + 0.029*\"valour\" + 0.021*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:44:39,710 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:44:39,711 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.004*\"like\" + 0.004*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:44:39,712 : INFO : topic #2 (0.020): 0.044*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:44:39,718 : INFO : topic diff=0.004340, rho=0.034606\n", + "2019-01-31 00:44:39,872 : INFO : PROGRESS: pass 0, at document #1672000/4922894\n", + "2019-01-31 00:44:41,237 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:41,503 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:44:41,504 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"champion\" + 0.019*\"tourist\" + 0.017*\"chamber\" + 0.016*\"poet\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\"\n", + "2019-01-31 00:44:41,505 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:44:41,507 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.019*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:44:41,508 : INFO : topic #39 (0.020): 0.052*\"canada\" + 0.039*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.018*\"ontario\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.014*\"hydrogen\" + 0.012*\"quebec\"\n", + "2019-01-31 00:44:41,513 : INFO : topic diff=0.005141, rho=0.034586\n", + "2019-01-31 00:44:41,668 : INFO : PROGRESS: pass 0, at document #1674000/4922894\n", + "2019-01-31 00:44:43,054 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:43,320 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:44:43,321 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.031*\"priest\" + 0.023*\"duke\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.019*\"quarterli\" + 0.018*\"grammat\" + 0.015*\"count\" + 0.013*\"portugues\" + 0.012*\"kingdom\"\n", + "2019-01-31 00:44:43,322 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:44:43,323 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"lizard\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 00:44:43,324 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.027*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"center\" + 0.010*\"lobe\" + 0.010*\"year\" + 0.009*\"dai\"\n", + "2019-01-31 00:44:43,330 : INFO : topic diff=0.005281, rho=0.034565\n", + "2019-01-31 00:44:43,486 : INFO : PROGRESS: pass 0, at document #1676000/4922894\n", + "2019-01-31 00:44:44,868 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:45,136 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"championship\" + 0.008*\"brio\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"cytokin\" + 0.008*\"uruguayan\"\n", + "2019-01-31 00:44:45,137 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"gestur\" + 0.007*\"septemb\" + 0.006*\"comic\" + 0.005*\"appear\" + 0.005*\"blue\" + 0.005*\"anim\" + 0.005*\"black\"\n", + "2019-01-31 00:44:45,138 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"septemb\" + 0.022*\"epiru\" + 0.018*\"teacher\" + 0.018*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:44:45,139 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"offic\" + 0.025*\"minist\" + 0.021*\"serv\" + 0.020*\"nation\" + 0.019*\"govern\" + 0.019*\"member\" + 0.019*\"gener\" + 0.016*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:44:45,141 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"armi\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"till\" + 0.007*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 00:44:45,147 : INFO : topic diff=0.004645, rho=0.034544\n", + "2019-01-31 00:44:45,302 : INFO : PROGRESS: pass 0, at document #1678000/4922894\n", + "2019-01-31 00:44:46,693 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:46,959 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.034*\"yawn\" + 0.027*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.013*\"misconcept\"\n", + "2019-01-31 00:44:46,960 : INFO : topic #40 (0.020): 0.092*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:44:46,961 : INFO : topic #1 (0.020): 0.049*\"china\" + 0.043*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.019*\"leah\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:44:46,962 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"swedish\" + 0.018*\"sweden\" + 0.016*\"norwai\" + 0.016*\"wind\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"treeless\" + 0.012*\"farid\" + 0.012*\"denmark\"\n", + "2019-01-31 00:44:46,963 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:44:46,969 : INFO : topic diff=0.005707, rho=0.034524\n", + "2019-01-31 00:44:49,606 : INFO : -11.894 per-word bound, 3806.5 perplexity estimate based on a held-out corpus of 2000 documents with 538208 words\n", + "2019-01-31 00:44:49,606 : INFO : PROGRESS: pass 0, at document #1680000/4922894\n", + "2019-01-31 00:44:50,972 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:51,238 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"unionist\" + 0.031*\"cotton\" + 0.031*\"american\" + 0.027*\"new\" + 0.017*\"year\" + 0.015*\"california\" + 0.012*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:44:51,240 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.012*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:44:51,241 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"cathedr\" + 0.010*\"poll\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 00:44:51,242 : INFO : topic #39 (0.020): 0.053*\"canada\" + 0.039*\"canadian\" + 0.023*\"toronto\" + 0.021*\"hoar\" + 0.019*\"ontario\" + 0.015*\"misericordia\" + 0.014*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 00:44:51,243 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:44:51,249 : INFO : topic diff=0.004989, rho=0.034503\n", + "2019-01-31 00:44:51,399 : INFO : PROGRESS: pass 0, at document #1682000/4922894\n", + "2019-01-31 00:44:52,749 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:53,016 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.026*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"center\" + 0.010*\"lobe\" + 0.010*\"year\" + 0.009*\"dai\"\n", + "2019-01-31 00:44:53,017 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.008*\"palmer\" + 0.008*\"foam\" + 0.008*\"vacant\" + 0.008*\"land\"\n", + "2019-01-31 00:44:53,018 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.019*\"folei\" + 0.019*\"player\" + 0.018*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:44:53,019 : INFO : topic #35 (0.020): 0.062*\"russia\" + 0.035*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.024*\"personifi\" + 0.023*\"moscow\" + 0.018*\"poland\" + 0.017*\"unfortun\" + 0.016*\"turin\"\n", + "2019-01-31 00:44:53,020 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.025*\"factor\" + 0.019*\"adulthood\" + 0.016*\"feel\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.011*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"yawn\"\n", + "2019-01-31 00:44:53,026 : INFO : topic diff=0.005542, rho=0.034483\n", + "2019-01-31 00:44:53,178 : INFO : PROGRESS: pass 0, at document #1684000/4922894\n", + "2019-01-31 00:44:54,550 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:54,820 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.031*\"priest\" + 0.024*\"duke\" + 0.019*\"idiosyncrat\" + 0.019*\"quarterli\" + 0.018*\"rotterdam\" + 0.018*\"grammat\" + 0.014*\"count\" + 0.013*\"portugues\" + 0.012*\"kingdom\"\n", + "2019-01-31 00:44:54,821 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.026*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"center\" + 0.010*\"lobe\" + 0.009*\"year\" + 0.009*\"dai\"\n", + "2019-01-31 00:44:54,822 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"anglo\" + 0.012*\"islam\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"alam\" + 0.009*\"sri\"\n", + "2019-01-31 00:44:54,824 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"method\" + 0.006*\"poet\" + 0.006*\"differ\"\n", + "2019-01-31 00:44:54,825 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"unionist\" + 0.031*\"cotton\" + 0.031*\"american\" + 0.027*\"new\" + 0.017*\"year\" + 0.015*\"california\" + 0.012*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:44:54,831 : INFO : topic diff=0.004566, rho=0.034462\n", + "2019-01-31 00:44:54,991 : INFO : PROGRESS: pass 0, at document #1686000/4922894\n", + "2019-01-31 00:44:56,404 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:56,671 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.034*\"publicis\" + 0.025*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:44:56,672 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:44:56,674 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:44:56,675 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.031*\"priest\" + 0.023*\"duke\" + 0.020*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.018*\"rotterdam\" + 0.018*\"grammat\" + 0.014*\"count\" + 0.013*\"portugues\" + 0.012*\"princ\"\n", + "2019-01-31 00:44:56,676 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"servitud\"\n", + "2019-01-31 00:44:56,682 : INFO : topic diff=0.005766, rho=0.034442\n", + "2019-01-31 00:44:56,840 : INFO : PROGRESS: pass 0, at document #1688000/4922894\n", + "2019-01-31 00:44:58,246 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:44:58,512 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:44:58,513 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.033*\"germani\" + 0.015*\"vol\" + 0.013*\"berlin\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:44:58,515 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.019*\"buford\" + 0.013*\"briarwood\" + 0.013*\"histor\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.010*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:44:58,516 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:44:58,517 : INFO : topic #1 (0.020): 0.050*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.018*\"leah\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:44:58,523 : INFO : topic diff=0.004404, rho=0.034421\n", + "2019-01-31 00:44:58,680 : INFO : PROGRESS: pass 0, at document #1690000/4922894\n", + "2019-01-31 00:45:00,075 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:00,341 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:45:00,342 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"anglo\" + 0.012*\"islam\" + 0.012*\"televis\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"sri\"\n", + "2019-01-31 00:45:00,343 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"champion\" + 0.019*\"tourist\" + 0.017*\"chamber\" + 0.016*\"martin\" + 0.016*\"taxpay\" + 0.015*\"poet\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:45:00,344 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:45:00,346 : INFO : topic #39 (0.020): 0.051*\"canada\" + 0.038*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.020*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:45:00,352 : INFO : topic diff=0.004640, rho=0.034401\n", + "2019-01-31 00:45:00,510 : INFO : PROGRESS: pass 0, at document #1692000/4922894\n", + "2019-01-31 00:45:01,918 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:02,184 : INFO : topic #1 (0.020): 0.050*\"china\" + 0.045*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.018*\"leah\" + 0.017*\"korean\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:45:02,185 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"islam\" + 0.012*\"televis\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"sri\"\n", + "2019-01-31 00:45:02,187 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"poll\" + 0.009*\"centuri\"\n", + "2019-01-31 00:45:02,188 : INFO : topic #20 (0.020): 0.137*\"scholar\" + 0.040*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:45:02,189 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:45:02,195 : INFO : topic diff=0.004626, rho=0.034381\n", + "2019-01-31 00:45:02,409 : INFO : PROGRESS: pass 0, at document #1694000/4922894\n", + "2019-01-31 00:45:03,806 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:04,076 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"cathedr\" + 0.009*\"poll\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 00:45:04,077 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:45:04,078 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"taxpay\" + 0.018*\"candid\" + 0.013*\"tornado\" + 0.013*\"squatter\" + 0.013*\"find\" + 0.012*\"ret\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:45:04,079 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.009*\"replac\" + 0.007*\"judaism\"\n", + "2019-01-31 00:45:04,081 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"septemb\" + 0.024*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:45:04,087 : INFO : topic diff=0.004795, rho=0.034360\n", + "2019-01-31 00:45:04,240 : INFO : PROGRESS: pass 0, at document #1696000/4922894\n", + "2019-01-31 00:45:05,629 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:05,895 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.013*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 00:45:05,896 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 00:45:05,898 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.033*\"germani\" + 0.015*\"vol\" + 0.013*\"berlin\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.012*\"israel\" + 0.010*\"european\" + 0.010*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 00:45:05,899 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"like\"\n", + "2019-01-31 00:45:05,900 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.023*\"rivièr\" + 0.019*\"buford\" + 0.013*\"briarwood\" + 0.012*\"histor\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 00:45:05,906 : INFO : topic diff=0.006264, rho=0.034340\n", + "2019-01-31 00:45:06,066 : INFO : PROGRESS: pass 0, at document #1698000/4922894\n", + "2019-01-31 00:45:07,474 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:07,740 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.025*\"wife\" + 0.019*\"champion\" + 0.019*\"tourist\" + 0.017*\"chamber\" + 0.016*\"martin\" + 0.016*\"taxpay\" + 0.015*\"poet\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:45:07,742 : INFO : topic #17 (0.020): 0.073*\"church\" + 0.021*\"cathol\" + 0.020*\"christian\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"poll\" + 0.010*\"cathedr\" + 0.010*\"centuri\" + 0.010*\"romanc\"\n", + "2019-01-31 00:45:07,743 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.026*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.011*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"year\" + 0.009*\"highli\"\n", + "2019-01-31 00:45:07,744 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.040*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:45:07,745 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.036*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:45:07,751 : INFO : topic diff=0.005738, rho=0.034320\n", + "2019-01-31 00:45:10,412 : INFO : -11.653 per-word bound, 3221.2 perplexity estimate based on a held-out corpus of 2000 documents with 537741 words\n", + "2019-01-31 00:45:10,413 : INFO : PROGRESS: pass 0, at document #1700000/4922894\n", + "2019-01-31 00:45:11,787 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:12,054 : INFO : topic #35 (0.020): 0.062*\"russia\" + 0.034*\"rural\" + 0.034*\"sovereignti\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.022*\"moscow\" + 0.022*\"personifi\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.016*\"turin\"\n", + "2019-01-31 00:45:12,055 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.031*\"cotton\" + 0.029*\"area\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.022*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:45:12,056 : INFO : topic #2 (0.020): 0.043*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:45:12,057 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.024*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:45:12,058 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.025*\"wife\" + 0.019*\"tourist\" + 0.019*\"champion\" + 0.017*\"chamber\" + 0.016*\"martin\" + 0.016*\"taxpay\" + 0.015*\"poet\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:45:12,064 : INFO : topic diff=0.004708, rho=0.034300\n", + "2019-01-31 00:45:12,222 : INFO : PROGRESS: pass 0, at document #1702000/4922894\n", + "2019-01-31 00:45:13,627 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:13,893 : INFO : topic #39 (0.020): 0.054*\"canada\" + 0.039*\"canadian\" + 0.022*\"toronto\" + 0.021*\"ontario\" + 0.020*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 00:45:13,894 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"collect\"\n", + "2019-01-31 00:45:13,895 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.013*\"liber\" + 0.013*\"bypass\"\n", + "2019-01-31 00:45:13,896 : INFO : topic #29 (0.020): 0.027*\"companhia\" + 0.011*\"busi\" + 0.011*\"million\" + 0.010*\"bank\" + 0.010*\"market\" + 0.009*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.007*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:45:13,897 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"black\" + 0.017*\"illicit\" + 0.016*\"colder\" + 0.016*\"western\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.007*\"depress\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:45:13,903 : INFO : topic diff=0.005445, rho=0.034280\n", + "2019-01-31 00:45:14,058 : INFO : PROGRESS: pass 0, at document #1704000/4922894\n", + "2019-01-31 00:45:15,432 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:15,699 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"measur\"\n", + "2019-01-31 00:45:15,700 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:45:15,701 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:45:15,702 : INFO : topic #2 (0.020): 0.043*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:45:15,703 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.006*\"appear\" + 0.005*\"anim\" + 0.004*\"dixi\"\n", + "2019-01-31 00:45:15,709 : INFO : topic diff=0.005435, rho=0.034259\n", + "2019-01-31 00:45:15,867 : INFO : PROGRESS: pass 0, at document #1706000/4922894\n", + "2019-01-31 00:45:17,271 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:17,540 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.026*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"year\" + 0.009*\"highli\"\n", + "2019-01-31 00:45:17,541 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.036*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:45:17,543 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"appear\" + 0.006*\"blue\" + 0.005*\"anim\" + 0.005*\"dixi\"\n", + "2019-01-31 00:45:17,544 : INFO : topic #35 (0.020): 0.062*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.023*\"reprint\" + 0.023*\"personifi\" + 0.022*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 00:45:17,545 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.035*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"oper\"\n", + "2019-01-31 00:45:17,551 : INFO : topic diff=0.005527, rho=0.034239\n", + "2019-01-31 00:45:17,707 : INFO : PROGRESS: pass 0, at document #1708000/4922894\n", + "2019-01-31 00:45:19,090 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:19,356 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"seaport\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"liber\"\n", + "2019-01-31 00:45:19,357 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.020*\"serv\" + 0.020*\"member\" + 0.019*\"gener\" + 0.017*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:45:19,358 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.035*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"oper\"\n", + "2019-01-31 00:45:19,359 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.009*\"sri\"\n", + "2019-01-31 00:45:19,361 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.012*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:45:19,366 : INFO : topic diff=0.004782, rho=0.034219\n", + "2019-01-31 00:45:19,520 : INFO : PROGRESS: pass 0, at document #1710000/4922894\n", + "2019-01-31 00:45:20,894 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:21,161 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:45:21,162 : INFO : topic #2 (0.020): 0.045*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.013*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:45:21,163 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.025*\"hous\" + 0.024*\"rivièr\" + 0.018*\"buford\" + 0.013*\"briarwood\" + 0.012*\"histor\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:45:21,164 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"black\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"western\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"light\" + 0.007*\"depress\"\n", + "2019-01-31 00:45:21,165 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.029*\"priest\" + 0.023*\"duke\" + 0.020*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"quarterli\" + 0.014*\"brazil\" + 0.014*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 00:45:21,171 : INFO : topic diff=0.004746, rho=0.034199\n", + "2019-01-31 00:45:21,332 : INFO : PROGRESS: pass 0, at document #1712000/4922894\n", + "2019-01-31 00:45:22,764 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:23,030 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.025*\"new\" + 0.023*\"palmer\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"year\" + 0.009*\"highli\"\n", + "2019-01-31 00:45:23,031 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 00:45:23,032 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.012*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:45:23,033 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:45:23,034 : INFO : topic #29 (0.020): 0.027*\"companhia\" + 0.011*\"busi\" + 0.011*\"million\" + 0.010*\"bank\" + 0.010*\"market\" + 0.009*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.007*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:45:23,040 : INFO : topic diff=0.005510, rho=0.034179\n", + "2019-01-31 00:45:23,195 : INFO : PROGRESS: pass 0, at document #1714000/4922894\n", + "2019-01-31 00:45:24,564 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:24,831 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.030*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:45:24,832 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.024*\"sail\" + 0.021*\"jean\" + 0.018*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.008*\"convei\"\n", + "2019-01-31 00:45:24,833 : INFO : topic #15 (0.020): 0.011*\"organ\" + 0.011*\"small\" + 0.011*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:45:24,834 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.012*\"juan\" + 0.012*\"lizard\" + 0.012*\"carlo\"\n", + "2019-01-31 00:45:24,835 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.035*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"poison\" + 0.023*\"reprint\" + 0.023*\"personifi\" + 0.022*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"turin\"\n", + "2019-01-31 00:45:24,841 : INFO : topic diff=0.005373, rho=0.034159\n", + "2019-01-31 00:45:25,000 : INFO : PROGRESS: pass 0, at document #1716000/4922894\n", + "2019-01-31 00:45:26,900 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:45:27,166 : INFO : topic #39 (0.020): 0.054*\"canada\" + 0.039*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.021*\"ontario\" + 0.015*\"new\" + 0.014*\"hydrogen\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:45:27,167 : INFO : topic #29 (0.020): 0.026*\"companhia\" + 0.011*\"busi\" + 0.011*\"million\" + 0.010*\"bank\" + 0.010*\"produc\" + 0.010*\"market\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:45:27,168 : INFO : topic #15 (0.020): 0.011*\"organ\" + 0.011*\"develop\" + 0.011*\"small\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:45:27,169 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.026*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"year\" + 0.009*\"highli\"\n", + "2019-01-31 00:45:27,170 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.034*\"germani\" + 0.015*\"vol\" + 0.013*\"jewish\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.012*\"israel\" + 0.010*\"european\" + 0.010*\"austria\" + 0.009*\"greek\"\n", + "2019-01-31 00:45:27,176 : INFO : topic diff=0.004973, rho=0.034139\n", + "2019-01-31 00:45:27,346 : INFO : PROGRESS: pass 0, at document #1718000/4922894\n", + "2019-01-31 00:45:28,767 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:29,034 : INFO : topic #10 (0.020): 0.011*\"hormon\" + 0.010*\"cdd\" + 0.010*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:45:29,036 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:45:29,037 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.067*\"best\" + 0.034*\"yawn\" + 0.030*\"jacksonvil\" + 0.026*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:45:29,038 : INFO : topic #39 (0.020): 0.054*\"canada\" + 0.040*\"canadian\" + 0.022*\"toronto\" + 0.022*\"ontario\" + 0.021*\"hoar\" + 0.015*\"new\" + 0.014*\"hydrogen\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:45:29,039 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.011*\"polaris\" + 0.009*\"legal\" + 0.008*\"replac\" + 0.007*\"judaism\"\n", + "2019-01-31 00:45:29,045 : INFO : topic diff=0.004782, rho=0.034120\n", + "2019-01-31 00:45:31,748 : INFO : -11.861 per-word bound, 3719.0 perplexity estimate based on a held-out corpus of 2000 documents with 550836 words\n", + "2019-01-31 00:45:31,748 : INFO : PROGRESS: pass 0, at document #1720000/4922894\n", + "2019-01-31 00:45:33,148 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:33,415 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.030*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:45:33,416 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.036*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:45:33,417 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"seaport\" + 0.014*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\"\n", + "2019-01-31 00:45:33,418 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"brio\" + 0.007*\"user\"\n", + "2019-01-31 00:45:33,419 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.034*\"yawn\" + 0.030*\"jacksonvil\" + 0.026*\"japanes\" + 0.023*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:45:33,426 : INFO : topic diff=0.004595, rho=0.034100\n", + "2019-01-31 00:45:33,578 : INFO : PROGRESS: pass 0, at document #1722000/4922894\n", + "2019-01-31 00:45:34,938 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:35,204 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.011*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:45:35,205 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:45:35,206 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.025*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"plaisir\" + 0.011*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:45:35,207 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.025*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"chamber\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"poet\"\n", + "2019-01-31 00:45:35,209 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.012*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.007*\"like\"\n", + "2019-01-31 00:45:35,215 : INFO : topic diff=0.005504, rho=0.034080\n", + "2019-01-31 00:45:35,369 : INFO : PROGRESS: pass 0, at document #1724000/4922894\n", + "2019-01-31 00:45:36,754 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:37,020 : INFO : topic #10 (0.020): 0.011*\"hormon\" + 0.010*\"cdd\" + 0.010*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:45:37,021 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 00:45:37,022 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.028*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.010*\"alam\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 00:45:37,023 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"championship\" + 0.008*\"cytokin\" + 0.008*\"brio\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\"\n", + "2019-01-31 00:45:37,024 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.017*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:45:37,030 : INFO : topic diff=0.005104, rho=0.034060\n", + "2019-01-31 00:45:37,188 : INFO : PROGRESS: pass 0, at document #1726000/4922894\n", + "2019-01-31 00:45:38,579 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:38,845 : INFO : topic #10 (0.020): 0.011*\"hormon\" + 0.010*\"cdd\" + 0.010*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:45:38,846 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"mode\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 00:45:38,847 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.012*\"santa\" + 0.012*\"lizard\" + 0.012*\"carlo\" + 0.011*\"juan\"\n", + "2019-01-31 00:45:38,849 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.036*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"artist\"\n", + "2019-01-31 00:45:38,850 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"pour\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 00:45:38,856 : INFO : topic diff=0.005242, rho=0.034040\n", + "2019-01-31 00:45:39,069 : INFO : PROGRESS: pass 0, at document #1728000/4922894\n", + "2019-01-31 00:45:40,443 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:40,709 : INFO : topic #21 (0.020): 0.039*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.012*\"lizard\" + 0.012*\"carlo\" + 0.011*\"juan\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:45:40,710 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"brio\"\n", + "2019-01-31 00:45:40,712 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"théori\" + 0.006*\"mode\" + 0.006*\"poet\" + 0.006*\"differ\" + 0.006*\"servitud\" + 0.006*\"southern\"\n", + "2019-01-31 00:45:40,713 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.036*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 00:45:40,714 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.027*\"champion\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"gold\" + 0.018*\"rainfal\"\n", + "2019-01-31 00:45:40,720 : INFO : topic diff=0.005225, rho=0.034021\n", + "2019-01-31 00:45:40,881 : INFO : PROGRESS: pass 0, at document #1730000/4922894\n", + "2019-01-31 00:45:42,311 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:42,577 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:45:42,578 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.031*\"cotton\" + 0.028*\"area\" + 0.023*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:45:42,579 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"pour\" + 0.006*\"teufel\" + 0.006*\"militari\" + 0.006*\"till\"\n", + "2019-01-31 00:45:42,580 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.036*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"damn\" + 0.017*\"compos\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.011*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:45:42,581 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:45:42,587 : INFO : topic diff=0.007418, rho=0.034001\n", + "2019-01-31 00:45:42,744 : INFO : PROGRESS: pass 0, at document #1732000/4922894\n", + "2019-01-31 00:45:44,132 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:44,398 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.030*\"priest\" + 0.024*\"duke\" + 0.020*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"quarterli\" + 0.015*\"brazil\" + 0.013*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 00:45:44,399 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.036*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.011*\"word\" + 0.011*\"physician\"\n", + "2019-01-31 00:45:44,400 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"théori\" + 0.010*\"ret\"\n", + "2019-01-31 00:45:44,401 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.031*\"cotton\" + 0.030*\"american\" + 0.028*\"new\" + 0.017*\"year\" + 0.015*\"california\" + 0.012*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:45:44,402 : INFO : topic #1 (0.020): 0.050*\"china\" + 0.043*\"chilton\" + 0.030*\"han\" + 0.023*\"hong\" + 0.023*\"korea\" + 0.023*\"kong\" + 0.018*\"korean\" + 0.018*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 00:45:44,408 : INFO : topic diff=0.004885, rho=0.033981\n", + "2019-01-31 00:45:44,569 : INFO : PROGRESS: pass 0, at document #1734000/4922894\n", + "2019-01-31 00:45:45,981 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:46,247 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.034*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.012*\"israel\" + 0.010*\"european\" + 0.010*\"greek\" + 0.010*\"austria\"\n", + "2019-01-31 00:45:46,249 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"republ\" + 0.014*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 00:45:46,250 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.016*\"wind\" + 0.016*\"swedish\" + 0.016*\"sweden\" + 0.015*\"norwai\" + 0.015*\"treeless\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.013*\"huntsvil\" + 0.011*\"farid\"\n", + "2019-01-31 00:45:46,251 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:45:46,252 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.026*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:45:46,258 : INFO : topic diff=0.004924, rho=0.033962\n", + "2019-01-31 00:45:46,414 : INFO : PROGRESS: pass 0, at document #1736000/4922894\n", + "2019-01-31 00:45:47,852 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:48,118 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.012*\"lizard\" + 0.012*\"francisco\" + 0.012*\"carlo\" + 0.011*\"mexican\"\n", + "2019-01-31 00:45:48,120 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"appear\" + 0.005*\"blue\" + 0.005*\"anim\" + 0.005*\"admit\"\n", + "2019-01-31 00:45:48,121 : INFO : topic #32 (0.020): 0.056*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.031*\"cotton\" + 0.028*\"area\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:45:48,122 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:45:48,123 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"mode\" + 0.006*\"differ\" + 0.006*\"southern\"\n", + "2019-01-31 00:45:48,129 : INFO : topic diff=0.005243, rho=0.033942\n", + "2019-01-31 00:45:48,287 : INFO : PROGRESS: pass 0, at document #1738000/4922894\n", + "2019-01-31 00:45:49,681 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:49,947 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:45:49,948 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:45:49,949 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.028*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.012*\"anglo\" + 0.011*\"khalsa\" + 0.010*\"televis\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"sri\"\n", + "2019-01-31 00:45:49,950 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.039*\"struggl\" + 0.030*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.011*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 00:45:49,951 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.011*\"ret\" + 0.011*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 00:45:49,957 : INFO : topic diff=0.005540, rho=0.033923\n", + "2019-01-31 00:45:52,718 : INFO : -11.684 per-word bound, 3289.3 perplexity estimate based on a held-out corpus of 2000 documents with 583647 words\n", + "2019-01-31 00:45:52,718 : INFO : PROGRESS: pass 0, at document #1740000/4922894\n", + "2019-01-31 00:45:54,137 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:54,403 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:45:54,404 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.039*\"struggl\" + 0.030*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"gothic\" + 0.011*\"district\" + 0.010*\"start\"\n", + "2019-01-31 00:45:54,405 : INFO : topic #10 (0.020): 0.010*\"hormon\" + 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"pathwai\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:45:54,406 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:45:54,408 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:45:54,413 : INFO : topic diff=0.006061, rho=0.033903\n", + "2019-01-31 00:45:54,569 : INFO : PROGRESS: pass 0, at document #1742000/4922894\n", + "2019-01-31 00:45:55,943 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:56,209 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.044*\"american\" + 0.028*\"valour\" + 0.020*\"folei\" + 0.020*\"player\" + 0.019*\"polit\" + 0.019*\"dutch\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:45:56,211 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"septemb\" + 0.025*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:45:56,212 : INFO : topic #20 (0.020): 0.136*\"scholar\" + 0.039*\"struggl\" + 0.030*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"gothic\" + 0.010*\"district\" + 0.010*\"start\"\n", + "2019-01-31 00:45:56,213 : INFO : topic #39 (0.020): 0.055*\"canada\" + 0.040*\"canadian\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.020*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.013*\"misericordia\" + 0.013*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 00:45:56,214 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.035*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:45:56,220 : INFO : topic diff=0.004280, rho=0.033884\n", + "2019-01-31 00:45:56,377 : INFO : PROGRESS: pass 0, at document #1744000/4922894\n", + "2019-01-31 00:45:57,767 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:58,033 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:45:58,034 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.030*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:45:58,035 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.077*\"march\" + 0.077*\"octob\" + 0.068*\"januari\" + 0.068*\"notion\" + 0.067*\"april\" + 0.066*\"juli\" + 0.065*\"august\" + 0.065*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 00:45:58,036 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:45:58,038 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:45:58,043 : INFO : topic diff=0.006582, rho=0.033864\n", + "2019-01-31 00:45:58,201 : INFO : PROGRESS: pass 0, at document #1746000/4922894\n", + "2019-01-31 00:45:59,599 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:45:59,868 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.028*\"offic\" + 0.024*\"minist\" + 0.021*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.015*\"start\"\n", + "2019-01-31 00:45:59,869 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:45:59,870 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:45:59,871 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:45:59,872 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:45:59,878 : INFO : topic diff=0.005013, rho=0.033845\n", + "2019-01-31 00:46:00,039 : INFO : PROGRESS: pass 0, at document #1748000/4922894\n", + "2019-01-31 00:46:01,773 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:02,040 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.028*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.012*\"anglo\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"televis\" + 0.009*\"sri\"\n", + "2019-01-31 00:46:02,041 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:46:02,043 : INFO : topic #29 (0.020): 0.026*\"companhia\" + 0.011*\"million\" + 0.011*\"bank\" + 0.011*\"busi\" + 0.010*\"produc\" + 0.010*\"market\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:46:02,044 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.021*\"male\" + 0.019*\"adulthood\" + 0.017*\"feel\" + 0.012*\"plaisir\" + 0.011*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:46:02,045 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.065*\"best\" + 0.036*\"yawn\" + 0.030*\"jacksonvil\" + 0.026*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:46:02,051 : INFO : topic diff=0.005182, rho=0.033826\n", + "2019-01-31 00:46:02,206 : INFO : PROGRESS: pass 0, at document #1750000/4922894\n", + "2019-01-31 00:46:04,012 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:04,278 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:46:04,279 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.020*\"event\" + 0.019*\"taxpay\" + 0.018*\"rainfal\" + 0.018*\"gold\"\n", + "2019-01-31 00:46:04,280 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"comic\" + 0.005*\"blue\" + 0.005*\"anim\" + 0.005*\"admit\"\n", + "2019-01-31 00:46:04,281 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:46:04,282 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:46:04,288 : INFO : topic diff=0.005553, rho=0.033806\n", + "2019-01-31 00:46:04,445 : INFO : PROGRESS: pass 0, at document #1752000/4922894\n", + "2019-01-31 00:46:05,835 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:06,102 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"land\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 00:46:06,103 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.023*\"personifi\" + 0.022*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"turin\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:46:06,104 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.006*\"comic\" + 0.006*\"appear\" + 0.005*\"blue\" + 0.005*\"anim\" + 0.005*\"admit\"\n", + "2019-01-31 00:46:06,105 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"carlo\" + 0.012*\"lizard\" + 0.011*\"francisco\" + 0.011*\"juan\"\n", + "2019-01-31 00:46:06,106 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"gastrointestin\"\n", + "2019-01-31 00:46:06,112 : INFO : topic diff=0.005947, rho=0.033787\n", + "2019-01-31 00:46:06,269 : INFO : PROGRESS: pass 0, at document #1754000/4922894\n", + "2019-01-31 00:46:07,656 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:07,921 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 00:46:07,922 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"sens\" + 0.078*\"octob\" + 0.069*\"notion\" + 0.069*\"januari\" + 0.068*\"april\" + 0.068*\"juli\" + 0.066*\"august\" + 0.066*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 00:46:07,924 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"anim\" + 0.005*\"admit\"\n", + "2019-01-31 00:46:07,925 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"effect\" + 0.006*\"gastrointestin\" + 0.006*\"proper\"\n", + "2019-01-31 00:46:07,926 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.011*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:46:07,932 : INFO : topic diff=0.005338, rho=0.033768\n", + "2019-01-31 00:46:08,088 : INFO : PROGRESS: pass 0, at document #1756000/4922894\n", + "2019-01-31 00:46:09,473 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:09,739 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.039*\"tortur\" + 0.031*\"cotton\" + 0.028*\"area\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.022*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:46:09,740 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"male\" + 0.019*\"adulthood\" + 0.017*\"feel\" + 0.012*\"plaisir\" + 0.011*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:46:09,741 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.028*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.018*\"gener\" + 0.016*\"seri\" + 0.016*\"start\"\n", + "2019-01-31 00:46:09,742 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\" + 0.009*\"dai\"\n", + "2019-01-31 00:46:09,742 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"carlo\" + 0.012*\"lizard\" + 0.011*\"francisco\" + 0.011*\"mexican\"\n", + "2019-01-31 00:46:09,748 : INFO : topic diff=0.004541, rho=0.033748\n", + "2019-01-31 00:46:09,968 : INFO : PROGRESS: pass 0, at document #1758000/4922894\n", + "2019-01-31 00:46:11,398 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:11,664 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:46:11,665 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:46:11,666 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.017*\"wind\" + 0.016*\"swedish\" + 0.015*\"sweden\" + 0.015*\"damag\" + 0.014*\"norwai\" + 0.014*\"treeless\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"farid\"\n", + "2019-01-31 00:46:11,667 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.056*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"republ\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 00:46:11,669 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.032*\"germani\" + 0.014*\"jewish\" + 0.014*\"vol\" + 0.013*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:46:11,674 : INFO : topic diff=0.005243, rho=0.033729\n", + "2019-01-31 00:46:14,338 : INFO : -11.536 per-word bound, 2970.2 perplexity estimate based on a held-out corpus of 2000 documents with 540914 words\n", + "2019-01-31 00:46:14,339 : INFO : PROGRESS: pass 0, at document #1760000/4922894\n", + "2019-01-31 00:46:15,706 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:15,972 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"championship\" + 0.007*\"softwar\" + 0.007*\"diggin\"\n", + "2019-01-31 00:46:15,973 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:46:15,974 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:46:15,975 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:46:15,976 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"bahá\" + 0.009*\"crew\"\n", + "2019-01-31 00:46:15,982 : INFO : topic diff=0.004600, rho=0.033710\n", + "2019-01-31 00:46:16,141 : INFO : PROGRESS: pass 0, at document #1762000/4922894\n", + "2019-01-31 00:46:17,545 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:17,811 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.024*\"poison\" + 0.023*\"reprint\" + 0.022*\"personifi\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 00:46:17,812 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.028*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.010*\"alam\" + 0.010*\"televis\" + 0.009*\"tajikistan\"\n", + "2019-01-31 00:46:17,813 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.027*\"australia\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 00:46:17,814 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.009*\"battalion\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"teufel\" + 0.006*\"pour\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:46:17,815 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.011*\"myspac\"\n", + "2019-01-31 00:46:17,822 : INFO : topic diff=0.006460, rho=0.033691\n", + "2019-01-31 00:46:17,983 : INFO : PROGRESS: pass 0, at document #1764000/4922894\n", + "2019-01-31 00:46:19,374 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:19,643 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:46:19,644 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.017*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:46:19,645 : INFO : topic #15 (0.020): 0.011*\"organ\" + 0.010*\"small\" + 0.010*\"develop\" + 0.010*\"group\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:46:19,646 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.020*\"dutch\" + 0.019*\"folei\" + 0.019*\"player\" + 0.018*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:46:19,648 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\" + 0.009*\"hot\"\n", + "2019-01-31 00:46:19,653 : INFO : topic diff=0.004579, rho=0.033672\n", + "2019-01-31 00:46:19,813 : INFO : PROGRESS: pass 0, at document #1766000/4922894\n", + "2019-01-31 00:46:21,177 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:21,443 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.032*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.012*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:46:21,445 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:46:21,446 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"wind\" + 0.016*\"swedish\" + 0.016*\"sweden\" + 0.015*\"damag\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.013*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"farid\"\n", + "2019-01-31 00:46:21,447 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.078*\"sens\" + 0.078*\"octob\" + 0.072*\"januari\" + 0.070*\"notion\" + 0.070*\"april\" + 0.069*\"juli\" + 0.068*\"judici\" + 0.067*\"august\" + 0.065*\"decatur\"\n", + "2019-01-31 00:46:21,448 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.020*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:46:21,454 : INFO : topic diff=0.005109, rho=0.033653\n", + "2019-01-31 00:46:21,608 : INFO : PROGRESS: pass 0, at document #1768000/4922894\n", + "2019-01-31 00:46:22,992 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:23,258 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"anim\" + 0.005*\"vision\"\n", + "2019-01-31 00:46:23,259 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.045*\"chilton\" + 0.024*\"korea\" + 0.022*\"hong\" + 0.022*\"kong\" + 0.020*\"han\" + 0.020*\"korean\" + 0.018*\"leah\" + 0.015*\"sourc\" + 0.015*\"kim\"\n", + "2019-01-31 00:46:23,260 : INFO : topic #29 (0.020): 0.026*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.010*\"bank\" + 0.010*\"produc\" + 0.010*\"market\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:46:23,262 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:46:23,263 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.016*\"chamber\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.015*\"open\" + 0.013*\"tiepolo\"\n", + "2019-01-31 00:46:23,269 : INFO : topic diff=0.005534, rho=0.033634\n", + "2019-01-31 00:46:23,424 : INFO : PROGRESS: pass 0, at document #1770000/4922894\n", + "2019-01-31 00:46:24,810 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:25,076 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\" + 0.009*\"dai\"\n", + "2019-01-31 00:46:25,077 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.024*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:46:25,078 : INFO : topic #34 (0.020): 0.076*\"start\" + 0.032*\"unionist\" + 0.030*\"american\" + 0.028*\"cotton\" + 0.028*\"new\" + 0.017*\"year\" + 0.015*\"california\" + 0.012*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:46:25,079 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:46:25,081 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:46:25,086 : INFO : topic diff=0.004971, rho=0.033615\n", + "2019-01-31 00:46:25,240 : INFO : PROGRESS: pass 0, at document #1772000/4922894\n", + "2019-01-31 00:46:26,590 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:26,856 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.022*\"personifi\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.016*\"unfortun\" + 0.013*\"malaysia\"\n", + "2019-01-31 00:46:26,857 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"cytokin\" + 0.007*\"uruguayan\" + 0.007*\"softwar\" + 0.007*\"championship\" + 0.007*\"includ\"\n", + "2019-01-31 00:46:26,858 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:46:26,859 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.027*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.023*\"england\" + 0.018*\"british\" + 0.018*\"youth\" + 0.016*\"ireland\" + 0.014*\"wale\"\n", + "2019-01-31 00:46:26,860 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"battalion\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"teufel\" + 0.006*\"pour\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:46:26,866 : INFO : topic diff=0.005021, rho=0.033596\n", + "2019-01-31 00:46:27,032 : INFO : PROGRESS: pass 0, at document #1774000/4922894\n", + "2019-01-31 00:46:28,446 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:28,716 : INFO : topic #34 (0.020): 0.075*\"start\" + 0.032*\"unionist\" + 0.030*\"american\" + 0.028*\"new\" + 0.028*\"cotton\" + 0.017*\"year\" + 0.015*\"california\" + 0.012*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:46:28,717 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:46:28,718 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.007*\"encyclopedia\" + 0.007*\"develop\"\n", + "2019-01-31 00:46:28,719 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.041*\"line\" + 0.036*\"arsen\" + 0.035*\"raid\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.014*\"exhaust\" + 0.013*\"pain\" + 0.013*\"oper\"\n", + "2019-01-31 00:46:28,721 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:46:28,727 : INFO : topic diff=0.007867, rho=0.033577\n", + "2019-01-31 00:46:28,878 : INFO : PROGRESS: pass 0, at document #1776000/4922894\n", + "2019-01-31 00:46:30,233 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:30,500 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:46:30,501 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:46:30,502 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.024*\"poison\" + 0.023*\"reprint\" + 0.022*\"personifi\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.013*\"malaysia\"\n", + "2019-01-31 00:46:30,503 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.027*\"australia\" + 0.027*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.023*\"england\" + 0.018*\"british\" + 0.017*\"youth\" + 0.016*\"ireland\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:46:30,504 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:46:30,509 : INFO : topic diff=0.005425, rho=0.033558\n", + "2019-01-31 00:46:30,668 : INFO : PROGRESS: pass 0, at document #1778000/4922894\n", + "2019-01-31 00:46:32,056 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:32,323 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.034*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:46:32,324 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:46:32,325 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.031*\"cotton\" + 0.028*\"area\" + 0.023*\"regim\" + 0.023*\"multitud\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:46:32,326 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.023*\"epiru\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.014*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:46:32,327 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"carlo\" + 0.012*\"francisco\" + 0.012*\"santa\" + 0.012*\"lizard\" + 0.011*\"juan\"\n", + "2019-01-31 00:46:32,333 : INFO : topic diff=0.004494, rho=0.033539\n", + "2019-01-31 00:46:34,990 : INFO : -11.606 per-word bound, 3117.2 perplexity estimate based on a held-out corpus of 2000 documents with 529091 words\n", + "2019-01-31 00:46:34,990 : INFO : PROGRESS: pass 0, at document #1780000/4922894\n", + "2019-01-31 00:46:36,360 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:36,626 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.015*\"jewish\" + 0.014*\"vol\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.012*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.008*\"austria\"\n", + "2019-01-31 00:46:36,627 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:46:36,629 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:46:36,630 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.024*\"poison\" + 0.023*\"reprint\" + 0.022*\"personifi\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.016*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:46:36,631 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\" + 0.009*\"year\"\n", + "2019-01-31 00:46:36,637 : INFO : topic diff=0.005593, rho=0.033520\n", + "2019-01-31 00:46:36,792 : INFO : PROGRESS: pass 0, at document #1782000/4922894\n", + "2019-01-31 00:46:38,183 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:38,449 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.009*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"comic\" + 0.006*\"blue\" + 0.005*\"anim\" + 0.005*\"vision\"\n", + "2019-01-31 00:46:38,450 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.007*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 00:46:38,451 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:46:38,452 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:46:38,453 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.020*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:46:38,459 : INFO : topic diff=0.004811, rho=0.033501\n", + "2019-01-31 00:46:38,615 : INFO : PROGRESS: pass 0, at document #1784000/4922894\n", + "2019-01-31 00:46:40,013 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:40,280 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.041*\"line\" + 0.037*\"arsen\" + 0.034*\"raid\" + 0.028*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.013*\"pain\" + 0.013*\"oper\"\n", + "2019-01-31 00:46:40,281 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"jewish\" + 0.014*\"vol\" + 0.014*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:46:40,282 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:46:40,283 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:46:40,284 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:46:40,290 : INFO : topic diff=0.004400, rho=0.033482\n", + "2019-01-31 00:46:40,450 : INFO : PROGRESS: pass 0, at document #1786000/4922894\n", + "2019-01-31 00:46:41,861 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:42,127 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.030*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 00:46:42,128 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:46:42,129 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.016*\"princ\" + 0.014*\"brazil\" + 0.013*\"count\"\n", + "2019-01-31 00:46:42,131 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.007*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 00:46:42,132 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.012*\"carlo\" + 0.012*\"lizard\" + 0.012*\"santa\" + 0.011*\"juan\"\n", + "2019-01-31 00:46:42,139 : INFO : topic diff=0.005170, rho=0.033464\n", + "2019-01-31 00:46:42,298 : INFO : PROGRESS: pass 0, at document #1788000/4922894\n", + "2019-01-31 00:46:43,705 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:43,971 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.027*\"australia\" + 0.027*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"youth\" + 0.016*\"ireland\" + 0.014*\"wale\"\n", + "2019-01-31 00:46:43,972 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"user\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"cytokin\" + 0.008*\"uruguayan\" + 0.007*\"championship\" + 0.007*\"brio\"\n", + "2019-01-31 00:46:43,973 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.006*\"differ\"\n", + "2019-01-31 00:46:43,974 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:46:43,976 : INFO : topic #34 (0.020): 0.073*\"start\" + 0.032*\"unionist\" + 0.030*\"cotton\" + 0.029*\"american\" + 0.028*\"new\" + 0.017*\"year\" + 0.016*\"california\" + 0.013*\"terri\" + 0.012*\"warrior\" + 0.011*\"north\"\n", + "2019-01-31 00:46:43,981 : INFO : topic diff=0.004782, rho=0.033445\n", + "2019-01-31 00:46:44,193 : INFO : PROGRESS: pass 0, at document #1790000/4922894\n", + "2019-01-31 00:46:45,597 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:45,863 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:46:45,864 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:46:45,865 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"damag\" + 0.015*\"swedish\" + 0.015*\"sweden\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"farid\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:46:45,866 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.021*\"dutch\" + 0.019*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:46:45,867 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:46:45,873 : INFO : topic diff=0.005301, rho=0.033426\n", + "2019-01-31 00:46:46,033 : INFO : PROGRESS: pass 0, at document #1792000/4922894\n", + "2019-01-31 00:46:47,447 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:47,714 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.027*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.020*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:46:47,715 : INFO : topic #46 (0.020): 0.021*\"stop\" + 0.017*\"damag\" + 0.016*\"swedish\" + 0.015*\"sweden\" + 0.015*\"wind\" + 0.014*\"norwai\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"farid\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:46:47,716 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:46:47,717 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:46:47,718 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.015*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:46:47,725 : INFO : topic diff=0.005355, rho=0.033408\n", + "2019-01-31 00:46:47,884 : INFO : PROGRESS: pass 0, at document #1794000/4922894\n", + "2019-01-31 00:46:49,277 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:49,544 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:46:49,545 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:46:49,546 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.006*\"teufel\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 00:46:49,547 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.044*\"chilton\" + 0.028*\"hong\" + 0.027*\"kong\" + 0.023*\"korea\" + 0.019*\"korean\" + 0.017*\"han\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 00:46:49,548 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.019*\"adulthood\" + 0.017*\"male\" + 0.016*\"feel\" + 0.012*\"plaisir\" + 0.011*\"hostil\" + 0.011*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:46:49,554 : INFO : topic diff=0.004802, rho=0.033389\n", + "2019-01-31 00:46:49,712 : INFO : PROGRESS: pass 0, at document #1796000/4922894\n", + "2019-01-31 00:46:51,071 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:51,340 : INFO : topic #48 (0.020): 0.081*\"octob\" + 0.079*\"sens\" + 0.077*\"march\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.068*\"april\" + 0.067*\"juli\" + 0.066*\"judici\" + 0.066*\"august\" + 0.064*\"decatur\"\n", + "2019-01-31 00:46:51,341 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.009*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:46:51,342 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"differ\"\n", + "2019-01-31 00:46:51,343 : INFO : topic #45 (0.020): 0.024*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"black\" + 0.016*\"illicit\" + 0.016*\"colder\" + 0.016*\"western\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"depress\" + 0.008*\"light\"\n", + "2019-01-31 00:46:51,344 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.024*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:46:51,350 : INFO : topic diff=0.004914, rho=0.033370\n", + "2019-01-31 00:46:51,508 : INFO : PROGRESS: pass 0, at document #1798000/4922894\n", + "2019-01-31 00:46:52,890 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:53,158 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:46:53,159 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:46:53,161 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.013*\"selma\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 00:46:53,162 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:46:53,163 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:46:53,169 : INFO : topic diff=0.004914, rho=0.033352\n", + "2019-01-31 00:46:55,851 : INFO : -11.595 per-word bound, 3093.0 perplexity estimate based on a held-out corpus of 2000 documents with 549658 words\n", + "2019-01-31 00:46:55,851 : INFO : PROGRESS: pass 0, at document #1800000/4922894\n", + "2019-01-31 00:46:57,226 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:57,492 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"taxpay\" + 0.020*\"candid\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.010*\"théori\" + 0.010*\"champion\"\n", + "2019-01-31 00:46:57,494 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:46:57,495 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:46:57,496 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.038*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:46:57,498 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.009*\"battalion\" + 0.009*\"aza\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\" + 0.006*\"teufel\"\n", + "2019-01-31 00:46:57,503 : INFO : topic diff=0.005013, rho=0.033333\n", + "2019-01-31 00:46:57,667 : INFO : PROGRESS: pass 0, at document #1802000/4922894\n", + "2019-01-31 00:46:59,089 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:46:59,355 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"democrat\" + 0.024*\"voluntari\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.013*\"selma\" + 0.013*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 00:46:59,356 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.038*\"struggl\" + 0.031*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:46:59,357 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:46:59,359 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"magazin\"\n", + "2019-01-31 00:46:59,360 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.026*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.016*\"chamber\" + 0.015*\"taxpay\" + 0.015*\"open\" + 0.015*\"martin\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:46:59,366 : INFO : topic diff=0.005522, rho=0.033315\n", + "2019-01-31 00:46:59,525 : INFO : PROGRESS: pass 0, at document #1804000/4922894\n", + "2019-01-31 00:47:00,937 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:01,203 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.043*\"chilton\" + 0.028*\"hong\" + 0.028*\"kong\" + 0.023*\"korea\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.015*\"han\" + 0.015*\"sourc\" + 0.013*\"kim\"\n", + "2019-01-31 00:47:01,205 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.007*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 00:47:01,206 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:47:01,207 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.019*\"adulthood\" + 0.017*\"male\" + 0.016*\"feel\" + 0.012*\"plaisir\" + 0.011*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:47:01,208 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.035*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.011*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:47:01,214 : INFO : topic diff=0.005859, rho=0.033296\n", + "2019-01-31 00:47:01,374 : INFO : PROGRESS: pass 0, at document #1806000/4922894\n", + "2019-01-31 00:47:02,767 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:03,033 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:47:03,034 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.044*\"vigour\" + 0.043*\"popolo\" + 0.038*\"tortur\" + 0.031*\"cotton\" + 0.028*\"area\" + 0.023*\"regim\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:47:03,036 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:47:03,037 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:47:03,038 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.010*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:47:03,044 : INFO : topic diff=0.004806, rho=0.033278\n", + "2019-01-31 00:47:03,202 : INFO : PROGRESS: pass 0, at document #1808000/4922894\n", + "2019-01-31 00:47:04,594 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:04,860 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:47:04,861 : INFO : topic #0 (0.020): 0.069*\"statewid\" + 0.041*\"line\" + 0.035*\"raid\" + 0.035*\"arsen\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.013*\"pain\" + 0.012*\"oper\"\n", + "2019-01-31 00:47:04,862 : INFO : topic #29 (0.020): 0.027*\"companhia\" + 0.011*\"million\" + 0.011*\"busi\" + 0.010*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:47:04,864 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.049*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:47:04,865 : INFO : topic #13 (0.020): 0.029*\"sourc\" + 0.027*\"australia\" + 0.027*\"london\" + 0.026*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:47:04,871 : INFO : topic diff=0.004991, rho=0.033260\n", + "2019-01-31 00:47:05,029 : INFO : PROGRESS: pass 0, at document #1810000/4922894\n", + "2019-01-31 00:47:06,420 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:06,687 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:47:06,688 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.027*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.020*\"rainfal\" + 0.019*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:47:06,689 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"selma\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 00:47:06,690 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.009*\"sri\" + 0.009*\"khalsa\"\n", + "2019-01-31 00:47:06,691 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 00:47:06,697 : INFO : topic diff=0.005036, rho=0.033241\n", + "2019-01-31 00:47:06,854 : INFO : PROGRESS: pass 0, at document #1812000/4922894\n", + "2019-01-31 00:47:08,257 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:08,524 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:47:08,525 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.016*\"swedish\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.016*\"sweden\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.011*\"farid\" + 0.010*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 00:47:08,526 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:47:08,527 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:47:08,528 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.021*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:47:08,534 : INFO : topic diff=0.005147, rho=0.033223\n", + "2019-01-31 00:47:08,695 : INFO : PROGRESS: pass 0, at document #1814000/4922894\n", + "2019-01-31 00:47:10,105 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:10,371 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.043*\"vigour\" + 0.043*\"popolo\" + 0.037*\"tortur\" + 0.033*\"area\" + 0.031*\"cotton\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:47:10,373 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.013*\"selma\" + 0.013*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 00:47:10,374 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"tajikistan\" + 0.010*\"alam\" + 0.010*\"khalsa\"\n", + "2019-01-31 00:47:10,375 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.008*\"septemb\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"appear\" + 0.005*\"blue\" + 0.005*\"anim\" + 0.005*\"vision\"\n", + "2019-01-31 00:47:10,376 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:47:10,382 : INFO : topic diff=0.005381, rho=0.033204\n", + "2019-01-31 00:47:10,538 : INFO : PROGRESS: pass 0, at document #1816000/4922894\n", + "2019-01-31 00:47:11,920 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:12,186 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.021*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:47:12,188 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"unionist\" + 0.030*\"american\" + 0.029*\"cotton\" + 0.028*\"new\" + 0.017*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:47:12,189 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.008*\"septemb\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"appear\" + 0.006*\"blue\" + 0.005*\"anim\" + 0.005*\"vision\"\n", + "2019-01-31 00:47:12,190 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.043*\"vigour\" + 0.043*\"popolo\" + 0.037*\"tortur\" + 0.033*\"area\" + 0.031*\"cotton\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.019*\"commun\"\n", + "2019-01-31 00:47:12,192 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:47:12,197 : INFO : topic diff=0.005346, rho=0.033186\n", + "2019-01-31 00:47:12,358 : INFO : PROGRESS: pass 0, at document #1818000/4922894\n", + "2019-01-31 00:47:13,755 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:14,022 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.014*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:47:14,023 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"black\" + 0.016*\"western\" + 0.015*\"colder\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:47:14,024 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:47:14,025 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:47:14,027 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.024*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.008*\"cathedr\"\n", + "2019-01-31 00:47:14,033 : INFO : topic diff=0.005262, rho=0.033168\n", + "2019-01-31 00:47:16,646 : INFO : -11.641 per-word bound, 3193.3 perplexity estimate based on a held-out corpus of 2000 documents with 503774 words\n", + "2019-01-31 00:47:16,647 : INFO : PROGRESS: pass 0, at document #1820000/4922894\n", + "2019-01-31 00:47:18,014 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:18,281 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"gener\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"differ\" + 0.006*\"servitud\" + 0.006*\"southern\"\n", + "2019-01-31 00:47:18,282 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.011*\"centuri\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.008*\"cathedr\"\n", + "2019-01-31 00:47:18,283 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.011*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:47:18,284 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.053*\"parti\" + 0.025*\"democrat\" + 0.024*\"voluntari\" + 0.020*\"member\" + 0.018*\"republ\" + 0.016*\"polici\" + 0.013*\"selma\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 00:47:18,285 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.023*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"black\" + 0.016*\"western\" + 0.015*\"colder\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"depress\" + 0.008*\"light\"\n", + "2019-01-31 00:47:18,291 : INFO : topic diff=0.006148, rho=0.033150\n", + "2019-01-31 00:47:18,445 : INFO : PROGRESS: pass 0, at document #1822000/4922894\n", + "2019-01-31 00:47:19,810 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:20,076 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.016*\"sweden\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.011*\"farid\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 00:47:20,077 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.021*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 00:47:20,079 : INFO : topic #39 (0.020): 0.055*\"canada\" + 0.041*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.021*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"novotná\" + 0.014*\"new\" + 0.012*\"quebec\"\n", + "2019-01-31 00:47:20,080 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:47:20,081 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.025*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.018*\"tiepolo\" + 0.016*\"chamber\" + 0.015*\"taxpay\" + 0.014*\"open\" + 0.014*\"martin\"\n", + "2019-01-31 00:47:20,087 : INFO : topic diff=0.005931, rho=0.033131\n", + "2019-01-31 00:47:20,307 : INFO : PROGRESS: pass 0, at document #1824000/4922894\n", + "2019-01-31 00:47:21,732 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:21,998 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"pour\" + 0.006*\"govern\" + 0.006*\"teufel\"\n", + "2019-01-31 00:47:21,999 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.044*\"vigour\" + 0.043*\"popolo\" + 0.037*\"tortur\" + 0.032*\"area\" + 0.030*\"cotton\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:47:22,001 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.021*\"del\" + 0.017*\"mexico\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 00:47:22,002 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:47:22,003 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:47:22,009 : INFO : topic diff=0.005446, rho=0.033113\n", + "2019-01-31 00:47:22,173 : INFO : PROGRESS: pass 0, at document #1826000/4922894\n", + "2019-01-31 00:47:23,592 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:23,859 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.023*\"noll\" + 0.021*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:47:23,860 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.022*\"taxpay\" + 0.020*\"candid\" + 0.015*\"ret\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.010*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 00:47:23,861 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.041*\"line\" + 0.036*\"arsen\" + 0.036*\"raid\" + 0.029*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"exhaust\" + 0.014*\"pain\" + 0.012*\"oper\"\n", + "2019-01-31 00:47:23,862 : INFO : topic #13 (0.020): 0.029*\"sourc\" + 0.027*\"australia\" + 0.027*\"london\" + 0.026*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:47:23,863 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:47:23,869 : INFO : topic diff=0.005925, rho=0.033095\n", + "2019-01-31 00:47:24,033 : INFO : PROGRESS: pass 0, at document #1828000/4922894\n", + "2019-01-31 00:47:25,411 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:25,678 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.024*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.016*\"male\" + 0.012*\"plaisir\" + 0.012*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:47:25,679 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.023*\"palmer\" + 0.015*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\" + 0.009*\"dai\"\n", + "2019-01-31 00:47:25,680 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"taxpay\" + 0.020*\"candid\" + 0.017*\"ret\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.010*\"tornado\" + 0.010*\"théori\" + 0.010*\"squatter\"\n", + "2019-01-31 00:47:25,682 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:47:25,683 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.032*\"priest\" + 0.021*\"quarterli\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.016*\"grammat\" + 0.014*\"princ\" + 0.013*\"brazil\" + 0.013*\"maria\"\n", + "2019-01-31 00:47:25,689 : INFO : topic diff=0.004206, rho=0.033077\n", + "2019-01-31 00:47:25,844 : INFO : PROGRESS: pass 0, at document #1830000/4922894\n", + "2019-01-31 00:47:27,224 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:27,491 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.009*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:47:27,492 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"teufel\" + 0.006*\"pour\" + 0.006*\"govern\"\n", + "2019-01-31 00:47:27,493 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.035*\"perceptu\" + 0.019*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:47:27,494 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.026*\"factor\" + 0.020*\"adulthood\" + 0.016*\"feel\" + 0.016*\"male\" + 0.012*\"hostil\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:47:27,495 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.028*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.016*\"california\" + 0.013*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:47:27,501 : INFO : topic diff=0.004956, rho=0.033059\n", + "2019-01-31 00:47:27,655 : INFO : PROGRESS: pass 0, at document #1832000/4922894\n", + "2019-01-31 00:47:29,025 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:29,292 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:47:29,293 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"taxpay\" + 0.020*\"candid\" + 0.017*\"ret\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.010*\"tornado\" + 0.010*\"théori\" + 0.010*\"squatter\"\n", + "2019-01-31 00:47:29,294 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"appear\" + 0.006*\"blue\" + 0.005*\"anim\" + 0.005*\"admit\"\n", + "2019-01-31 00:47:29,295 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"septemb\" + 0.024*\"epiru\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:47:29,296 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.027*\"woman\" + 0.027*\"champion\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:47:29,302 : INFO : topic diff=0.004822, rho=0.033041\n", + "2019-01-31 00:47:29,467 : INFO : PROGRESS: pass 0, at document #1834000/4922894\n", + "2019-01-31 00:47:30,880 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:31,147 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.015*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.011*\"polaris\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:47:31,148 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.027*\"woman\" + 0.027*\"champion\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:47:31,149 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:47:31,150 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.044*\"vigour\" + 0.043*\"popolo\" + 0.038*\"tortur\" + 0.031*\"area\" + 0.030*\"cotton\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:47:31,151 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"taxpay\" + 0.020*\"candid\" + 0.017*\"ret\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.010*\"théori\" + 0.010*\"tornado\" + 0.010*\"squatter\"\n", + "2019-01-31 00:47:31,157 : INFO : topic diff=0.005927, rho=0.033023\n", + "2019-01-31 00:47:31,312 : INFO : PROGRESS: pass 0, at document #1836000/4922894\n", + "2019-01-31 00:47:32,703 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:32,969 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:47:32,970 : INFO : topic #42 (0.020): 0.044*\"german\" + 0.031*\"germani\" + 0.016*\"israel\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.012*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.008*\"austria\"\n", + "2019-01-31 00:47:32,971 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.015*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.011*\"polaris\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:47:32,973 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:47:32,974 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"taxpay\" + 0.020*\"candid\" + 0.017*\"ret\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.010*\"théori\" + 0.010*\"tornado\" + 0.010*\"squatter\"\n", + "2019-01-31 00:47:32,979 : INFO : topic diff=0.005192, rho=0.033005\n", + "2019-01-31 00:47:33,137 : INFO : PROGRESS: pass 0, at document #1838000/4922894\n", + "2019-01-31 00:47:34,535 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:47:34,801 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:47:34,802 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:47:34,804 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.010*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:47:34,805 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:47:34,806 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.028*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.016*\"california\" + 0.013*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:47:34,812 : INFO : topic diff=0.005188, rho=0.032987\n", + "2019-01-31 00:47:37,592 : INFO : -11.878 per-word bound, 3762.7 perplexity estimate based on a held-out corpus of 2000 documents with 595170 words\n", + "2019-01-31 00:47:37,592 : INFO : PROGRESS: pass 0, at document #1840000/4922894\n", + "2019-01-31 00:47:39,017 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:39,284 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"human\"\n", + "2019-01-31 00:47:39,285 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.025*\"factor\" + 0.019*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.012*\"plaisir\" + 0.012*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:47:39,286 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:47:39,287 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.012*\"carlo\" + 0.012*\"juan\" + 0.011*\"lizard\"\n", + "2019-01-31 00:47:39,288 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.034*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:47:39,294 : INFO : topic diff=0.005160, rho=0.032969\n", + "2019-01-31 00:47:39,450 : INFO : PROGRESS: pass 0, at document #1842000/4922894\n", + "2019-01-31 00:47:40,820 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:41,087 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.017*\"black\" + 0.017*\"illicit\" + 0.016*\"western\" + 0.016*\"colder\" + 0.013*\"record\" + 0.011*\"blind\" + 0.007*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:47:41,088 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.012*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:47:41,089 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:47:41,090 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.025*\"factor\" + 0.019*\"adulthood\" + 0.016*\"feel\" + 0.015*\"male\" + 0.012*\"plaisir\" + 0.012*\"hostil\" + 0.010*\"genu\" + 0.008*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:47:41,091 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:47:41,097 : INFO : topic diff=0.005418, rho=0.032951\n", + "2019-01-31 00:47:41,253 : INFO : PROGRESS: pass 0, at document #1844000/4922894\n", + "2019-01-31 00:47:42,636 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:42,902 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"taxpay\" + 0.020*\"candid\" + 0.017*\"ret\" + 0.012*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.010*\"tornado\" + 0.010*\"théori\" + 0.009*\"squatter\"\n", + "2019-01-31 00:47:42,903 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"gener\" + 0.007*\"frontal\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"differ\" + 0.006*\"method\"\n", + "2019-01-31 00:47:42,904 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.043*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.031*\"area\" + 0.030*\"cotton\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:47:42,905 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.020*\"member\" + 0.017*\"republ\" + 0.016*\"polici\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.014*\"selma\"\n", + "2019-01-31 00:47:42,906 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.040*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.023*\"moscow\" + 0.018*\"poland\" + 0.017*\"unfortun\" + 0.013*\"turin\"\n", + "2019-01-31 00:47:42,912 : INFO : topic diff=0.004468, rho=0.032933\n", + "2019-01-31 00:47:43,071 : INFO : PROGRESS: pass 0, at document #1846000/4922894\n", + "2019-01-31 00:47:44,470 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:44,736 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 00:47:44,737 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:47:44,738 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.011*\"televis\" + 0.010*\"sri\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 00:47:44,739 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.028*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:47:44,740 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.044*\"chilton\" + 0.027*\"hong\" + 0.026*\"kong\" + 0.024*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:47:44,746 : INFO : topic diff=0.004114, rho=0.032915\n", + "2019-01-31 00:47:44,904 : INFO : PROGRESS: pass 0, at document #1848000/4922894\n", + "2019-01-31 00:47:46,295 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:46,561 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.029*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.012*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:47:46,562 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.024*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:47:46,563 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:47:46,564 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.018*\"wind\" + 0.017*\"swedish\" + 0.017*\"sweden\" + 0.016*\"damag\" + 0.016*\"norwai\" + 0.014*\"norwegian\" + 0.012*\"farid\" + 0.011*\"denmark\" + 0.010*\"danish\"\n", + "2019-01-31 00:47:46,565 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:47:46,571 : INFO : topic diff=0.005729, rho=0.032898\n", + "2019-01-31 00:47:46,730 : INFO : PROGRESS: pass 0, at document #1850000/4922894\n", + "2019-01-31 00:47:48,133 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:48,399 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.008*\"foam\" + 0.008*\"land\" + 0.008*\"lobe\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:47:48,401 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.049*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:47:48,402 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.024*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:47:48,403 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.040*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:47:48,404 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.010*\"sri\" + 0.010*\"muskoge\" + 0.010*\"alam\"\n", + "2019-01-31 00:47:48,410 : INFO : topic diff=0.005411, rho=0.032880\n", + "2019-01-31 00:47:48,565 : INFO : PROGRESS: pass 0, at document #1852000/4922894\n", + "2019-01-31 00:47:49,945 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:50,212 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.040*\"tortur\" + 0.031*\"area\" + 0.029*\"cotton\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:47:50,213 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"republ\" + 0.016*\"polici\" + 0.014*\"report\" + 0.013*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 00:47:50,214 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.040*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:47:50,215 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.036*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:47:50,216 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:47:50,222 : INFO : topic diff=0.004384, rho=0.032862\n", + "2019-01-31 00:47:50,435 : INFO : PROGRESS: pass 0, at document #1854000/4922894\n", + "2019-01-31 00:47:51,806 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:52,072 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"collector\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:47:52,073 : INFO : topic #31 (0.020): 0.057*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"player\" + 0.025*\"taxpay\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:47:52,074 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.007*\"candid\" + 0.006*\"develop\"\n", + "2019-01-31 00:47:52,076 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.022*\"nation\" + 0.021*\"member\" + 0.018*\"gener\" + 0.016*\"start\" + 0.016*\"seri\" + 0.016*\"serv\"\n", + "2019-01-31 00:47:52,077 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:47:52,083 : INFO : topic diff=0.005173, rho=0.032844\n", + "2019-01-31 00:47:52,240 : INFO : PROGRESS: pass 0, at document #1856000/4922894\n", + "2019-01-31 00:47:53,648 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:53,914 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:47:53,915 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:47:53,916 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.015*\"soviet\" + 0.012*\"santa\" + 0.012*\"francisco\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"lizard\"\n", + "2019-01-31 00:47:53,917 : INFO : topic #39 (0.020): 0.054*\"canada\" + 0.041*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.014*\"new\" + 0.011*\"quebec\"\n", + "2019-01-31 00:47:53,918 : INFO : topic #46 (0.020): 0.019*\"wind\" + 0.018*\"stop\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.016*\"damag\" + 0.016*\"norwai\" + 0.014*\"norwegian\" + 0.012*\"farid\" + 0.010*\"denmark\" + 0.010*\"huntsvil\"\n", + "2019-01-31 00:47:53,924 : INFO : topic diff=0.004294, rho=0.032827\n", + "2019-01-31 00:47:54,079 : INFO : PROGRESS: pass 0, at document #1858000/4922894\n", + "2019-01-31 00:47:55,457 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:47:55,723 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.049*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:47:55,724 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"tiepolo\" + 0.015*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.013*\"winner\"\n", + "2019-01-31 00:47:55,725 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:47:55,726 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:47:55,727 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:47:55,733 : INFO : topic diff=0.004720, rho=0.032809\n", + "2019-01-31 00:47:58,376 : INFO : -11.625 per-word bound, 3157.6 perplexity estimate based on a held-out corpus of 2000 documents with 524554 words\n", + "2019-01-31 00:47:58,376 : INFO : PROGRESS: pass 0, at document #1860000/4922894\n", + "2019-01-31 00:47:59,743 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:00,009 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"noll\" + 0.022*\"japanes\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:48:00,010 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"candid\" + 0.021*\"taxpay\" + 0.016*\"ret\" + 0.013*\"driver\" + 0.013*\"fool\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.010*\"théori\" + 0.009*\"squatter\"\n", + "2019-01-31 00:48:00,011 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:48:00,012 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.032*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.013*\"maria\" + 0.013*\"princ\" + 0.012*\"brazil\"\n", + "2019-01-31 00:48:00,013 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"unionist\" + 0.029*\"american\" + 0.029*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:48:00,019 : INFO : topic diff=0.004762, rho=0.032791\n", + "2019-01-31 00:48:00,179 : INFO : PROGRESS: pass 0, at document #1862000/4922894\n", + "2019-01-31 00:48:01,586 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:01,853 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"gener\" + 0.007*\"frontal\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 00:48:01,854 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:48:01,855 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:48:01,856 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.043*\"chilton\" + 0.027*\"hong\" + 0.026*\"kong\" + 0.023*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:48:01,857 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.040*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:48:01,863 : INFO : topic diff=0.004694, rho=0.032774\n", + "2019-01-31 00:48:02,023 : INFO : PROGRESS: pass 0, at document #1864000/4922894\n", + "2019-01-31 00:48:03,440 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:03,707 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:48:03,708 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.040*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:48:03,709 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:48:03,710 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.008*\"love\" + 0.008*\"charact\" + 0.007*\"septemb\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"appear\" + 0.006*\"blue\" + 0.005*\"anim\" + 0.005*\"vision\"\n", + "2019-01-31 00:48:03,712 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:48:03,718 : INFO : topic diff=0.004585, rho=0.032756\n", + "2019-01-31 00:48:03,875 : INFO : PROGRESS: pass 0, at document #1866000/4922894\n", + "2019-01-31 00:48:05,241 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:05,510 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"republ\" + 0.016*\"polici\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.014*\"report\"\n", + "2019-01-31 00:48:05,511 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.021*\"member\" + 0.018*\"gener\" + 0.016*\"start\" + 0.016*\"seri\" + 0.016*\"serv\"\n", + "2019-01-31 00:48:05,512 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:48:05,514 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.023*\"palmer\" + 0.015*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"highli\" + 0.009*\"dai\"\n", + "2019-01-31 00:48:05,515 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.027*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.009*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 00:48:05,520 : INFO : topic diff=0.005214, rho=0.032739\n", + "2019-01-31 00:48:05,678 : INFO : PROGRESS: pass 0, at document #1868000/4922894\n", + "2019-01-31 00:48:07,071 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:07,337 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.007*\"uruguayan\" + 0.007*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 00:48:07,339 : INFO : topic #48 (0.020): 0.082*\"octob\" + 0.080*\"march\" + 0.078*\"sens\" + 0.076*\"juli\" + 0.073*\"notion\" + 0.073*\"januari\" + 0.072*\"april\" + 0.071*\"judici\" + 0.071*\"august\" + 0.070*\"decatur\"\n", + "2019-01-31 00:48:07,340 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.042*\"chilton\" + 0.028*\"hong\" + 0.027*\"kong\" + 0.023*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:48:07,341 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"republ\" + 0.016*\"polici\" + 0.014*\"bypass\" + 0.014*\"report\" + 0.014*\"selma\"\n", + "2019-01-31 00:48:07,342 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.014*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:48:07,348 : INFO : topic diff=0.004594, rho=0.032721\n", + "2019-01-31 00:48:07,510 : INFO : PROGRESS: pass 0, at document #1870000/4922894\n", + "2019-01-31 00:48:08,912 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:09,178 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.011*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:48:09,179 : INFO : topic #48 (0.020): 0.082*\"octob\" + 0.080*\"march\" + 0.078*\"sens\" + 0.075*\"juli\" + 0.074*\"januari\" + 0.073*\"notion\" + 0.073*\"april\" + 0.072*\"judici\" + 0.071*\"august\" + 0.070*\"decatur\"\n", + "2019-01-31 00:48:09,181 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.043*\"popolo\" + 0.043*\"vigour\" + 0.040*\"tortur\" + 0.030*\"area\" + 0.029*\"cotton\" + 0.023*\"regim\" + 0.022*\"multitud\" + 0.022*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:48:09,182 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:48:09,183 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.018*\"wind\" + 0.017*\"swedish\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.014*\"norwegian\" + 0.013*\"denmark\" + 0.012*\"farid\" + 0.011*\"danish\"\n", + "2019-01-31 00:48:09,188 : INFO : topic diff=0.005372, rho=0.032703\n", + "2019-01-31 00:48:09,343 : INFO : PROGRESS: pass 0, at document #1872000/4922894\n", + "2019-01-31 00:48:10,720 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:10,986 : INFO : topic #39 (0.020): 0.052*\"canada\" + 0.041*\"canadian\" + 0.030*\"ontario\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 00:48:10,987 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"tiepolo\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 00:48:10,988 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"anglo\" + 0.012*\"pakistan\" + 0.012*\"islam\" + 0.011*\"televis\" + 0.010*\"alam\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"sri\"\n", + "2019-01-31 00:48:10,989 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.021*\"member\" + 0.018*\"gener\" + 0.016*\"start\" + 0.016*\"serv\" + 0.016*\"seri\"\n", + "2019-01-31 00:48:10,990 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:48:10,996 : INFO : topic diff=0.004824, rho=0.032686\n", + "2019-01-31 00:48:11,156 : INFO : PROGRESS: pass 0, at document #1874000/4922894\n", + "2019-01-31 00:48:12,572 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:12,838 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.021*\"member\" + 0.018*\"gener\" + 0.016*\"start\" + 0.016*\"serv\" + 0.016*\"seri\"\n", + "2019-01-31 00:48:12,840 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:48:12,841 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.032*\"personifi\" + 0.028*\"poison\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.019*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:48:12,842 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.016*\"vol\" + 0.016*\"israel\" + 0.015*\"jewish\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:48:12,843 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.011*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:48:12,849 : INFO : topic diff=0.004910, rho=0.032669\n", + "2019-01-31 00:48:13,006 : INFO : PROGRESS: pass 0, at document #1876000/4922894\n", + "2019-01-31 00:48:14,399 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:14,666 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.027*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"start\" + 0.009*\"gothic\"\n", + "2019-01-31 00:48:14,667 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"gener\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"method\"\n", + "2019-01-31 00:48:14,668 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:48:14,669 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.029*\"american\" + 0.029*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:48:14,670 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.035*\"arsen\" + 0.033*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.013*\"pain\" + 0.013*\"exhaust\" + 0.013*\"oper\"\n", + "2019-01-31 00:48:14,676 : INFO : topic diff=0.004562, rho=0.032651\n", + "2019-01-31 00:48:14,836 : INFO : PROGRESS: pass 0, at document #1878000/4922894\n", + "2019-01-31 00:48:16,231 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:16,497 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.036*\"perceptu\" + 0.022*\"theater\" + 0.019*\"damn\" + 0.019*\"place\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 00:48:16,498 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:48:16,500 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"vacant\"\n", + "2019-01-31 00:48:16,501 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.034*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:48:16,502 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:48:16,507 : INFO : topic diff=0.005380, rho=0.032634\n", + "2019-01-31 00:48:19,080 : INFO : -11.425 per-word bound, 2750.4 perplexity estimate based on a held-out corpus of 2000 documents with 504946 words\n", + "2019-01-31 00:48:19,081 : INFO : PROGRESS: pass 0, at document #1880000/4922894\n", + "2019-01-31 00:48:20,424 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:20,689 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.029*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:48:20,691 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.024*\"christian\" + 0.022*\"cathol\" + 0.022*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:48:20,692 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.042*\"chilton\" + 0.025*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.012*\"shirin\" + 0.012*\"kim\"\n", + "2019-01-31 00:48:20,693 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:48:20,694 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"help\"\n", + "2019-01-31 00:48:20,700 : INFO : topic diff=0.005206, rho=0.032616\n", + "2019-01-31 00:48:20,854 : INFO : PROGRESS: pass 0, at document #1882000/4922894\n", + "2019-01-31 00:48:22,245 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:22,511 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:48:22,512 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:48:22,513 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"player\" + 0.025*\"taxpay\" + 0.020*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.008*\"reconstruct\"\n", + "2019-01-31 00:48:22,515 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:48:22,516 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.014*\"male\" + 0.012*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:48:22,521 : INFO : topic diff=0.005047, rho=0.032599\n", + "2019-01-31 00:48:22,680 : INFO : PROGRESS: pass 0, at document #1884000/4922894\n", + "2019-01-31 00:48:24,080 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:24,346 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.022*\"candid\" + 0.020*\"taxpay\" + 0.014*\"ret\" + 0.014*\"driver\" + 0.011*\"find\" + 0.011*\"fool\" + 0.010*\"théori\" + 0.010*\"tornado\" + 0.010*\"landslid\"\n", + "2019-01-31 00:48:24,348 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.035*\"perceptu\" + 0.022*\"theater\" + 0.018*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:48:24,349 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"armi\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"militari\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"airmen\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:48:24,350 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"candid\" + 0.007*\"uruguayan\" + 0.007*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 00:48:24,351 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.031*\"personifi\" + 0.028*\"poison\" + 0.026*\"reprint\" + 0.021*\"moscow\" + 0.019*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:48:24,357 : INFO : topic diff=0.006740, rho=0.032582\n", + "2019-01-31 00:48:24,574 : INFO : PROGRESS: pass 0, at document #1886000/4922894\n", + "2019-01-31 00:48:25,990 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:26,256 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.041*\"line\" + 0.034*\"arsen\" + 0.033*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.017*\"pain\" + 0.013*\"oper\" + 0.013*\"exhaust\"\n", + "2019-01-31 00:48:26,257 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 00:48:26,258 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.041*\"american\" + 0.029*\"valour\" + 0.023*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"netherland\"\n", + "2019-01-31 00:48:26,259 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:48:26,260 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.021*\"candid\" + 0.021*\"taxpay\" + 0.014*\"ret\" + 0.014*\"driver\" + 0.011*\"find\" + 0.011*\"fool\" + 0.010*\"théori\" + 0.010*\"tornado\" + 0.010*\"squatter\"\n", + "2019-01-31 00:48:26,266 : INFO : topic diff=0.006519, rho=0.032564\n", + "2019-01-31 00:48:26,425 : INFO : PROGRESS: pass 0, at document #1888000/4922894\n", + "2019-01-31 00:48:27,833 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:28,100 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.021*\"candid\" + 0.020*\"taxpay\" + 0.015*\"ret\" + 0.014*\"driver\" + 0.011*\"find\" + 0.011*\"fool\" + 0.010*\"théori\" + 0.010*\"squatter\" + 0.010*\"tornado\"\n", + "2019-01-31 00:48:28,101 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:48:28,102 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.008*\"love\" + 0.008*\"charact\" + 0.008*\"septemb\" + 0.007*\"comic\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.005*\"anim\" + 0.005*\"blue\" + 0.005*\"workplac\"\n", + "2019-01-31 00:48:28,103 : INFO : topic #39 (0.020): 0.055*\"canada\" + 0.041*\"canadian\" + 0.028*\"ontario\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 00:48:28,104 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.027*\"australia\" + 0.026*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:48:28,110 : INFO : topic diff=0.004895, rho=0.032547\n", + "2019-01-31 00:48:28,272 : INFO : PROGRESS: pass 0, at document #1890000/4922894\n", + "2019-01-31 00:48:29,697 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:29,962 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 00:48:29,964 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:48:29,965 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"hostil\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"live\" + 0.008*\"biom\"\n", + "2019-01-31 00:48:29,966 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 00:48:29,966 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.027*\"australia\" + 0.026*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:48:29,972 : INFO : topic diff=0.005038, rho=0.032530\n", + "2019-01-31 00:48:30,132 : INFO : PROGRESS: pass 0, at document #1892000/4922894\n", + "2019-01-31 00:48:31,549 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:31,815 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 00:48:31,816 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.024*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:48:31,817 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"help\"\n", + "2019-01-31 00:48:31,818 : INFO : topic #46 (0.020): 0.021*\"stop\" + 0.017*\"wind\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.013*\"huntsvil\" + 0.012*\"denmark\" + 0.010*\"farid\"\n", + "2019-01-31 00:48:31,819 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.044*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.012*\"han\"\n", + "2019-01-31 00:48:31,825 : INFO : topic diff=0.004405, rho=0.032513\n", + "2019-01-31 00:48:31,978 : INFO : PROGRESS: pass 0, at document #1894000/4922894\n", + "2019-01-31 00:48:33,340 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:33,606 : INFO : topic #31 (0.020): 0.056*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.025*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:48:33,608 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.022*\"dutch\" + 0.019*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"netherland\"\n", + "2019-01-31 00:48:33,609 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.043*\"vigour\" + 0.043*\"popolo\" + 0.040*\"tortur\" + 0.032*\"cotton\" + 0.029*\"area\" + 0.024*\"multitud\" + 0.023*\"regim\" + 0.021*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:48:33,610 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.037*\"sovereignti\" + 0.032*\"rural\" + 0.031*\"personifi\" + 0.027*\"poison\" + 0.026*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:48:33,611 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 00:48:33,617 : INFO : topic diff=0.004884, rho=0.032496\n", + "2019-01-31 00:48:33,770 : INFO : PROGRESS: pass 0, at document #1896000/4922894\n", + "2019-01-31 00:48:35,143 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:35,409 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.029*\"germani\" + 0.016*\"vol\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.010*\"european\" + 0.009*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:48:35,410 : INFO : topic #31 (0.020): 0.057*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.025*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:48:35,411 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.021*\"member\" + 0.017*\"serv\" + 0.017*\"gener\" + 0.016*\"start\" + 0.016*\"seri\"\n", + "2019-01-31 00:48:35,413 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"noll\" + 0.022*\"japanes\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 00:48:35,413 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.044*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.014*\"sourc\" + 0.013*\"kim\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:48:35,419 : INFO : topic diff=0.005429, rho=0.032478\n", + "2019-01-31 00:48:35,577 : INFO : PROGRESS: pass 0, at document #1898000/4922894\n", + "2019-01-31 00:48:36,960 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:37,226 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"pathwai\" + 0.006*\"effect\" + 0.006*\"human\"\n", + "2019-01-31 00:48:37,227 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:48:37,228 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.007*\"veget\" + 0.007*\"encyclopedia\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.007*\"produc\"\n", + "2019-01-31 00:48:37,230 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.007*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 00:48:37,231 : INFO : topic #29 (0.020): 0.027*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:48:37,236 : INFO : topic diff=0.004155, rho=0.032461\n", + "2019-01-31 00:48:39,962 : INFO : -11.640 per-word bound, 3191.1 perplexity estimate based on a held-out corpus of 2000 documents with 590783 words\n", + "2019-01-31 00:48:39,962 : INFO : PROGRESS: pass 0, at document #1900000/4922894\n", + "2019-01-31 00:48:41,355 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:41,621 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.028*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"start\" + 0.009*\"task\"\n", + "2019-01-31 00:48:41,622 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.029*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"loui\" + 0.012*\"lazi\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:48:41,623 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"help\"\n", + "2019-01-31 00:48:41,625 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.026*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:48:41,626 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:48:41,632 : INFO : topic diff=0.005479, rho=0.032444\n", + "2019-01-31 00:48:41,786 : INFO : PROGRESS: pass 0, at document #1902000/4922894\n", + "2019-01-31 00:48:43,163 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:43,429 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.032*\"cotton\" + 0.029*\"area\" + 0.024*\"multitud\" + 0.023*\"regim\" + 0.021*\"citi\" + 0.020*\"commun\"\n", + "2019-01-31 00:48:43,430 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:48:43,431 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.017*\"black\" + 0.016*\"western\" + 0.014*\"record\" + 0.010*\"blind\" + 0.008*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:48:43,432 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.029*\"american\" + 0.029*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:48:43,433 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.007*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:48:43,439 : INFO : topic diff=0.004403, rho=0.032427\n", + "2019-01-31 00:48:43,593 : INFO : PROGRESS: pass 0, at document #1904000/4922894\n", + "2019-01-31 00:48:44,988 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:45,254 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.018*\"wind\" + 0.016*\"norwai\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.015*\"norwegian\" + 0.013*\"damag\" + 0.013*\"denmark\" + 0.012*\"huntsvil\" + 0.011*\"farid\"\n", + "2019-01-31 00:48:45,255 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 00:48:45,256 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.038*\"struggl\" + 0.036*\"high\" + 0.028*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"start\" + 0.009*\"gothic\"\n", + "2019-01-31 00:48:45,257 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:48:45,258 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\" + 0.010*\"lizard\"\n", + "2019-01-31 00:48:45,264 : INFO : topic diff=0.004702, rho=0.032410\n", + "2019-01-31 00:48:45,421 : INFO : PROGRESS: pass 0, at document #1906000/4922894\n", + "2019-01-31 00:48:46,814 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:47,080 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.007*\"user\" + 0.007*\"window\" + 0.007*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"diggin\"\n", + "2019-01-31 00:48:47,081 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.033*\"incumb\" + 0.014*\"televis\" + 0.013*\"anglo\" + 0.011*\"pakistan\" + 0.011*\"islam\" + 0.011*\"khalsa\" + 0.010*\"sri\" + 0.009*\"tajikistan\" + 0.009*\"muskoge\"\n", + "2019-01-31 00:48:47,082 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:48:47,084 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.007*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:48:47,085 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:48:47,090 : INFO : topic diff=0.005282, rho=0.032393\n", + "2019-01-31 00:48:47,244 : INFO : PROGRESS: pass 0, at document #1908000/4922894\n", + "2019-01-31 00:48:48,625 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:48,891 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"acid\"\n", + "2019-01-31 00:48:48,892 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.019*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.014*\"record\" + 0.010*\"blind\" + 0.008*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:48:48,893 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:48:48,894 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.038*\"struggl\" + 0.036*\"high\" + 0.028*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 00:48:48,895 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:48:48,901 : INFO : topic diff=0.005380, rho=0.032376\n", + "2019-01-31 00:48:49,054 : INFO : PROGRESS: pass 0, at document #1910000/4922894\n", + "2019-01-31 00:48:50,428 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:50,695 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.029*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:48:50,696 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.020*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.014*\"record\" + 0.010*\"blind\" + 0.008*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:48:50,697 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.024*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:48:50,698 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.033*\"incumb\" + 0.014*\"televis\" + 0.013*\"anglo\" + 0.011*\"pakistan\" + 0.011*\"islam\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.009*\"singh\"\n", + "2019-01-31 00:48:50,699 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:48:50,705 : INFO : topic diff=0.005164, rho=0.032359\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:48:50,862 : INFO : PROGRESS: pass 0, at document #1912000/4922894\n", + "2019-01-31 00:48:52,281 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:52,547 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:48:52,548 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 00:48:52,549 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.014*\"militari\" + 0.012*\"airmen\" + 0.011*\"airbu\"\n", + "2019-01-31 00:48:52,550 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.014*\"open\" + 0.013*\"taxpay\" + 0.013*\"winner\"\n", + "2019-01-31 00:48:52,551 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"leah\" + 0.014*\"sourc\" + 0.012*\"ashvil\" + 0.012*\"kim\"\n", + "2019-01-31 00:48:52,557 : INFO : topic diff=0.005078, rho=0.032342\n", + "2019-01-31 00:48:52,711 : INFO : PROGRESS: pass 0, at document #1914000/4922894\n", + "2019-01-31 00:48:54,077 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:54,344 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:48:54,345 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"strategist\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:48:54,346 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.013*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 00:48:54,347 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.014*\"open\" + 0.013*\"taxpay\" + 0.013*\"winner\"\n", + "2019-01-31 00:48:54,348 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.029*\"american\" + 0.029*\"new\" + 0.027*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:48:54,354 : INFO : topic diff=0.004101, rho=0.032325\n", + "2019-01-31 00:48:54,510 : INFO : PROGRESS: pass 0, at document #1916000/4922894\n", + "2019-01-31 00:48:55,910 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:56,176 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"vigour\" + 0.043*\"popolo\" + 0.039*\"tortur\" + 0.032*\"cotton\" + 0.029*\"area\" + 0.025*\"multitud\" + 0.023*\"regim\" + 0.022*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 00:48:56,177 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:48:56,178 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:48:56,179 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.029*\"new\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:48:56,180 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.030*\"workplac\" + 0.027*\"champion\" + 0.027*\"men\" + 0.026*\"olymp\" + 0.023*\"medal\" + 0.021*\"event\" + 0.020*\"taxpay\" + 0.019*\"atheist\" + 0.019*\"rainfal\"\n", + "2019-01-31 00:48:56,186 : INFO : topic diff=0.005098, rho=0.032309\n", + "2019-01-31 00:48:56,400 : INFO : PROGRESS: pass 0, at document #1918000/4922894\n", + "2019-01-31 00:48:57,779 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:48:58,045 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"unionist\" + 0.030*\"american\" + 0.029*\"new\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:48:58,046 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.019*\"wind\" + 0.017*\"norwai\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.013*\"huntsvil\" + 0.013*\"denmark\" + 0.013*\"damag\" + 0.011*\"farid\"\n", + "2019-01-31 00:48:58,047 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\" + 0.010*\"lizard\"\n", + "2019-01-31 00:48:58,048 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:48:58,049 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"candid\" + 0.020*\"taxpay\" + 0.015*\"ret\" + 0.013*\"driver\" + 0.011*\"find\" + 0.010*\"fool\" + 0.010*\"tornado\" + 0.010*\"champion\" + 0.010*\"théori\"\n", + "2019-01-31 00:48:58,055 : INFO : topic diff=0.005077, rho=0.032292\n", + "2019-01-31 00:49:00,704 : INFO : -11.487 per-word bound, 2869.5 perplexity estimate based on a held-out corpus of 2000 documents with 550615 words\n", + "2019-01-31 00:49:00,704 : INFO : PROGRESS: pass 0, at document #1920000/4922894\n", + "2019-01-31 00:49:02,079 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:02,345 : INFO : topic #43 (0.020): 0.068*\"elect\" + 0.055*\"parti\" + 0.023*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 00:49:02,346 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.042*\"line\" + 0.034*\"arsen\" + 0.034*\"raid\" + 0.025*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.016*\"pain\" + 0.013*\"exhaust\" + 0.013*\"oper\"\n", + "2019-01-31 00:49:02,347 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"candid\" + 0.020*\"taxpay\" + 0.015*\"ret\" + 0.013*\"driver\" + 0.012*\"find\" + 0.010*\"tornado\" + 0.010*\"fool\" + 0.010*\"champion\" + 0.010*\"théori\"\n", + "2019-01-31 00:49:02,348 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.028*\"personifi\" + 0.027*\"poison\" + 0.025*\"reprint\" + 0.021*\"moscow\" + 0.019*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 00:49:02,350 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.008*\"cathedr\"\n", + "2019-01-31 00:49:02,355 : INFO : topic diff=0.005703, rho=0.032275\n", + "2019-01-31 00:49:02,509 : INFO : PROGRESS: pass 0, at document #1922000/4922894\n", + "2019-01-31 00:49:03,872 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:04,140 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.014*\"militari\" + 0.012*\"airmen\" + 0.012*\"airbu\"\n", + "2019-01-31 00:49:04,141 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.021*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.016*\"player\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.010*\"simpler\"\n", + "2019-01-31 00:49:04,142 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"candid\" + 0.006*\"produc\"\n", + "2019-01-31 00:49:04,144 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:49:04,145 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:49:04,151 : INFO : topic diff=0.005001, rho=0.032258\n", + "2019-01-31 00:49:04,304 : INFO : PROGRESS: pass 0, at document #1924000/4922894\n", + "2019-01-31 00:49:05,687 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:05,954 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:49:05,955 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"anglo\" + 0.013*\"televis\" + 0.012*\"islam\" + 0.011*\"pakistan\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.009*\"start\"\n", + "2019-01-31 00:49:05,956 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:49:05,957 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:49:05,958 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"user\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 00:49:05,964 : INFO : topic diff=0.004528, rho=0.032241\n", + "2019-01-31 00:49:06,125 : INFO : PROGRESS: pass 0, at document #1926000/4922894\n", + "2019-01-31 00:49:07,542 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:07,808 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.024*\"factor\" + 0.018*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.011*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.009*\"biom\"\n", + "2019-01-31 00:49:07,810 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.007*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:49:07,811 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.034*\"priest\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.014*\"maria\" + 0.013*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:49:07,812 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"woman\" + 0.028*\"champion\" + 0.027*\"olymp\" + 0.026*\"men\" + 0.023*\"medal\" + 0.021*\"event\" + 0.019*\"taxpay\" + 0.019*\"atheist\" + 0.019*\"alic\"\n", + "2019-01-31 00:49:07,813 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:49:07,819 : INFO : topic diff=0.004828, rho=0.032225\n", + "2019-01-31 00:49:07,976 : INFO : PROGRESS: pass 0, at document #1928000/4922894\n", + "2019-01-31 00:49:09,367 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:09,633 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.011*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:49:09,635 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:49:09,636 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"anglo\" + 0.013*\"televis\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.009*\"start\"\n", + "2019-01-31 00:49:09,637 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.042*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.019*\"folei\" + 0.018*\"polit\" + 0.016*\"player\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.010*\"netherland\"\n", + "2019-01-31 00:49:09,638 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.033*\"priest\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.013*\"maria\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 00:49:09,643 : INFO : topic diff=0.005096, rho=0.032208\n", + "2019-01-31 00:49:09,801 : INFO : PROGRESS: pass 0, at document #1930000/4922894\n", + "2019-01-31 00:49:11,188 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:11,454 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:49:11,455 : INFO : topic #46 (0.020): 0.020*\"stop\" + 0.018*\"wind\" + 0.017*\"norwai\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.013*\"denmark\" + 0.012*\"damag\" + 0.012*\"huntsvil\" + 0.011*\"danish\"\n", + "2019-01-31 00:49:11,456 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:49:11,457 : INFO : topic #35 (0.020): 0.061*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"personifi\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.017*\"turin\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:49:11,458 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"anglo\" + 0.013*\"televis\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.009*\"sri\" + 0.009*\"alam\"\n", + "2019-01-31 00:49:11,465 : INFO : topic diff=0.004761, rho=0.032191\n", + "2019-01-31 00:49:11,618 : INFO : PROGRESS: pass 0, at document #1932000/4922894\n", + "2019-01-31 00:49:13,007 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:13,274 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.015*\"tiepolo\" + 0.015*\"chamber\" + 0.014*\"open\" + 0.014*\"taxpay\" + 0.013*\"martin\"\n", + "2019-01-31 00:49:13,276 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.026*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:49:13,277 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"selma\"\n", + "2019-01-31 00:49:13,278 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.012*\"berlin\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:49:13,279 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:49:13,284 : INFO : topic diff=0.004585, rho=0.032174\n", + "2019-01-31 00:49:13,441 : INFO : PROGRESS: pass 0, at document #1934000/4922894\n", + "2019-01-31 00:49:14,825 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:15,095 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"charact\" + 0.008*\"love\" + 0.008*\"septemb\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"appear\" + 0.006*\"anim\" + 0.005*\"blue\" + 0.005*\"dixi\"\n", + "2019-01-31 00:49:15,096 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.039*\"sovereignti\" + 0.034*\"rural\" + 0.027*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.016*\"turin\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:49:15,097 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:49:15,098 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 00:49:15,099 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"selma\"\n", + "2019-01-31 00:49:15,105 : INFO : topic diff=0.004978, rho=0.032158\n", + "2019-01-31 00:49:15,262 : INFO : PROGRESS: pass 0, at document #1936000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:49:16,655 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:16,921 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 00:49:16,922 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.049*\"franc\" + 0.029*\"pari\" + 0.025*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:49:16,923 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:49:16,924 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"player\" + 0.015*\"english\" + 0.011*\"acrimoni\" + 0.010*\"netherland\"\n", + "2019-01-31 00:49:16,925 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 00:49:16,931 : INFO : topic diff=0.005146, rho=0.032141\n", + "2019-01-31 00:49:17,089 : INFO : PROGRESS: pass 0, at document #1938000/4922894\n", + "2019-01-31 00:49:18,503 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:18,770 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"market\" + 0.010*\"bank\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:49:18,771 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.012*\"berlin\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:49:18,772 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:49:18,773 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 00:49:18,774 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.014*\"taxpay\" + 0.013*\"open\" + 0.013*\"martin\"\n", + "2019-01-31 00:49:18,780 : INFO : topic diff=0.004266, rho=0.032125\n", + "2019-01-31 00:49:21,493 : INFO : -11.841 per-word bound, 3667.3 perplexity estimate based on a held-out corpus of 2000 documents with 583447 words\n", + "2019-01-31 00:49:21,494 : INFO : PROGRESS: pass 0, at document #1940000/4922894\n", + "2019-01-31 00:49:22,896 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:23,163 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:49:23,164 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.016*\"ret\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.010*\"champion\" + 0.010*\"fool\" + 0.009*\"squatter\"\n", + "2019-01-31 00:49:23,165 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:49:23,166 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 00:49:23,167 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.026*\"new\" + 0.024*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:49:23,173 : INFO : topic diff=0.005050, rho=0.032108\n", + "2019-01-31 00:49:23,328 : INFO : PROGRESS: pass 0, at document #1942000/4922894\n", + "2019-01-31 00:49:24,705 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:24,971 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:49:24,972 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.027*\"australia\" + 0.026*\"new\" + 0.024*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:49:24,973 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.042*\"canadian\" + 0.024*\"toronto\" + 0.024*\"ontario\" + 0.020*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.013*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:49:24,974 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 00:49:24,975 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:49:24,981 : INFO : topic diff=0.006021, rho=0.032092\n", + "2019-01-31 00:49:25,134 : INFO : PROGRESS: pass 0, at document #1944000/4922894\n", + "2019-01-31 00:49:26,508 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:26,774 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 00:49:26,775 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.024*\"korea\" + 0.022*\"hong\" + 0.021*\"kong\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.014*\"leah\" + 0.013*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 00:49:26,776 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"black\" + 0.017*\"colder\" + 0.016*\"western\" + 0.013*\"record\" + 0.010*\"blind\" + 0.008*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:49:26,778 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"epiru\" + 0.024*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:49:26,779 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"noll\" + 0.021*\"japanes\" + 0.018*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:49:26,784 : INFO : topic diff=0.004810, rho=0.032075\n", + "2019-01-31 00:49:26,935 : INFO : PROGRESS: pass 0, at document #1946000/4922894\n", + "2019-01-31 00:49:28,281 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:28,547 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.023*\"factor\" + 0.018*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"hostil\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.009*\"live\"\n", + "2019-01-31 00:49:28,548 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.017*\"ret\" + 0.013*\"driver\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.011*\"champion\" + 0.010*\"fool\" + 0.009*\"théori\"\n", + "2019-01-31 00:49:28,549 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"taxpay\" + 0.025*\"scientist\" + 0.025*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:49:28,550 : INFO : topic #34 (0.020): 0.072*\"start\" + 0.032*\"unionist\" + 0.030*\"new\" + 0.029*\"american\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:49:28,551 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.050*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:49:28,557 : INFO : topic diff=0.005310, rho=0.032059\n", + "2019-01-31 00:49:28,716 : INFO : PROGRESS: pass 0, at document #1948000/4922894\n", + "2019-01-31 00:49:30,262 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:49:30,529 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 00:49:30,530 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"year\"\n", + "2019-01-31 00:49:30,531 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"utopian\" + 0.006*\"method\"\n", + "2019-01-31 00:49:30,532 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 00:49:30,534 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"liber\" + 0.019*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.016*\"conserv\" + 0.013*\"bypass\"\n", + "2019-01-31 00:49:30,540 : INFO : topic diff=0.005105, rho=0.032042\n", + "2019-01-31 00:49:30,695 : INFO : PROGRESS: pass 0, at document #1950000/4922894\n", + "2019-01-31 00:49:32,065 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:32,332 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"octob\" + 0.078*\"sens\" + 0.072*\"januari\" + 0.071*\"juli\" + 0.071*\"notion\" + 0.069*\"judici\" + 0.069*\"april\" + 0.068*\"august\" + 0.066*\"decatur\"\n", + "2019-01-31 00:49:32,333 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"cytokin\" + 0.009*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 00:49:32,334 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.008*\"love\" + 0.007*\"comic\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"anim\" + 0.005*\"dixi\" + 0.005*\"blue\"\n", + "2019-01-31 00:49:32,335 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.033*\"priest\" + 0.022*\"duke\" + 0.020*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.018*\"idiosyncrat\" + 0.014*\"maria\" + 0.013*\"count\" + 0.013*\"kingdom\"\n", + "2019-01-31 00:49:32,337 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:49:32,342 : INFO : topic diff=0.005118, rho=0.032026\n", + "2019-01-31 00:49:32,564 : INFO : PROGRESS: pass 0, at document #1952000/4922894\n", + "2019-01-31 00:49:34,000 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:34,267 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"empath\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:49:34,268 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.041*\"canadian\" + 0.024*\"toronto\" + 0.023*\"ontario\" + 0.021*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:49:34,269 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.016*\"ret\" + 0.013*\"driver\" + 0.011*\"find\" + 0.011*\"tornado\" + 0.011*\"champion\" + 0.010*\"fool\" + 0.009*\"théori\"\n", + "2019-01-31 00:49:34,270 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.005*\"mode\" + 0.005*\"measur\"\n", + "2019-01-31 00:49:34,272 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.013*\"airmen\" + 0.012*\"airbu\"\n", + "2019-01-31 00:49:34,278 : INFO : topic diff=0.005351, rho=0.032009\n", + "2019-01-31 00:49:34,429 : INFO : PROGRESS: pass 0, at document #1954000/4922894\n", + "2019-01-31 00:49:35,765 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:36,031 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"taxpay\" + 0.013*\"open\" + 0.013*\"martin\"\n", + "2019-01-31 00:49:36,032 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.056*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"liber\" + 0.019*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.015*\"conserv\" + 0.013*\"bypass\"\n", + "2019-01-31 00:49:36,034 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"empath\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:49:36,035 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.019*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"unionist\"\n", + "2019-01-31 00:49:36,036 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:49:36,042 : INFO : topic diff=0.005795, rho=0.031993\n", + "2019-01-31 00:49:36,198 : INFO : PROGRESS: pass 0, at document #1956000/4922894\n", + "2019-01-31 00:49:37,586 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:37,853 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.008*\"love\" + 0.007*\"comic\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"anim\" + 0.005*\"blue\" + 0.005*\"vision\"\n", + "2019-01-31 00:49:37,854 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"black\" + 0.016*\"colder\" + 0.016*\"western\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:49:37,855 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.024*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:49:37,856 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.025*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"open\" + 0.013*\"martin\"\n", + "2019-01-31 00:49:37,857 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:49:37,863 : INFO : topic diff=0.004210, rho=0.031976\n", + "2019-01-31 00:49:38,016 : INFO : PROGRESS: pass 0, at document #1958000/4922894\n", + "2019-01-31 00:49:39,383 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:39,650 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.049*\"franc\" + 0.031*\"pari\" + 0.025*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 00:49:39,651 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.007*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:49:39,652 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.041*\"canadian\" + 0.024*\"toronto\" + 0.023*\"ontario\" + 0.021*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:49:39,653 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.056*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.019*\"liber\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.015*\"conserv\" + 0.014*\"bypass\"\n", + "2019-01-31 00:49:39,654 : INFO : topic #4 (0.020): 0.023*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"candid\"\n", + "2019-01-31 00:49:39,660 : INFO : topic diff=0.004268, rho=0.031960\n", + "2019-01-31 00:49:42,355 : INFO : -11.600 per-word bound, 3103.8 perplexity estimate based on a held-out corpus of 2000 documents with 554316 words\n", + "2019-01-31 00:49:42,356 : INFO : PROGRESS: pass 0, at document #1960000/4922894\n", + "2019-01-31 00:49:43,749 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:49:44,016 : INFO : topic #46 (0.020): 0.020*\"sweden\" + 0.018*\"stop\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.016*\"wind\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.013*\"denmark\" + 0.011*\"danish\" + 0.011*\"turkish\"\n", + "2019-01-31 00:49:44,017 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"start\"\n", + "2019-01-31 00:49:44,018 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.015*\"soviet\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.011*\"josé\" + 0.011*\"francisco\"\n", + "2019-01-31 00:49:44,019 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.007*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:49:44,020 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.039*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:49:44,026 : INFO : topic diff=0.004810, rho=0.031944\n", + "2019-01-31 00:49:44,180 : INFO : PROGRESS: pass 0, at document #1962000/4922894\n", + "2019-01-31 00:49:45,551 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:45,817 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"anglo\" + 0.013*\"televis\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.009*\"singh\"\n", + "2019-01-31 00:49:45,818 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"princess\"\n", + "2019-01-31 00:49:45,819 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.015*\"english\" + 0.011*\"acrimoni\" + 0.011*\"netherland\"\n", + "2019-01-31 00:49:45,820 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:49:45,821 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.008*\"love\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"appear\" + 0.006*\"anim\" + 0.005*\"blue\" + 0.005*\"vision\"\n", + "2019-01-31 00:49:45,827 : INFO : topic diff=0.004444, rho=0.031928\n", + "2019-01-31 00:49:45,978 : INFO : PROGRESS: pass 0, at document #1964000/4922894\n", + "2019-01-31 00:49:47,331 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:47,598 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"anglo\" + 0.012*\"televis\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.009*\"alam\"\n", + "2019-01-31 00:49:47,599 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"acid\"\n", + "2019-01-31 00:49:47,600 : INFO : topic #46 (0.020): 0.020*\"sweden\" + 0.018*\"stop\" + 0.017*\"wind\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.014*\"norwegian\" + 0.014*\"damag\" + 0.013*\"denmark\" + 0.012*\"turkish\" + 0.011*\"farid\"\n", + "2019-01-31 00:49:47,601 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.015*\"seri\"\n", + "2019-01-31 00:49:47,602 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.041*\"canadian\" + 0.024*\"toronto\" + 0.023*\"ontario\" + 0.020*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:49:47,608 : INFO : topic diff=0.005240, rho=0.031911\n", + "2019-01-31 00:49:47,767 : INFO : PROGRESS: pass 0, at document #1966000/4922894\n", + "2019-01-31 00:49:49,263 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:49,530 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.024*\"factor\" + 0.018*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"genu\" + 0.011*\"plaisir\" + 0.010*\"hostil\" + 0.009*\"live\" + 0.008*\"biom\"\n", + "2019-01-31 00:49:49,531 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"palmer\" + 0.008*\"land\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"lobe\"\n", + "2019-01-31 00:49:49,532 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.024*\"medal\" + 0.021*\"event\" + 0.020*\"alic\" + 0.019*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:49:49,533 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.044*\"chilton\" + 0.024*\"hong\" + 0.023*\"korea\" + 0.023*\"kong\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:49:49,534 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.042*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.016*\"player\" + 0.015*\"english\" + 0.011*\"acrimoni\" + 0.010*\"netherland\"\n", + "2019-01-31 00:49:49,539 : INFO : topic diff=0.005688, rho=0.031895\n", + "2019-01-31 00:49:49,694 : INFO : PROGRESS: pass 0, at document #1968000/4922894\n", + "2019-01-31 00:49:51,077 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:51,343 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.041*\"canadian\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.020*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:49:51,344 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.025*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:49:51,346 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:49:51,347 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airmen\" + 0.011*\"airbu\"\n", + "2019-01-31 00:49:51,348 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.044*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:49:51,353 : INFO : topic diff=0.005224, rho=0.031879\n", + "2019-01-31 00:49:51,508 : INFO : PROGRESS: pass 0, at document #1970000/4922894\n", + "2019-01-31 00:49:52,884 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:53,150 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:49:53,151 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.008*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"empath\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:49:53,152 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.025*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:49:53,154 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"base\"\n", + "2019-01-31 00:49:53,154 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.038*\"tortur\" + 0.033*\"cotton\" + 0.028*\"area\" + 0.024*\"multitud\" + 0.022*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:49:53,160 : INFO : topic diff=0.004855, rho=0.031863\n", + "2019-01-31 00:49:53,313 : INFO : PROGRESS: pass 0, at document #1972000/4922894\n", + "2019-01-31 00:49:54,682 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:54,948 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:49:54,949 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.015*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:49:54,950 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"yawn\"\n", + "2019-01-31 00:49:54,952 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.018*\"damag\" + 0.018*\"stop\" + 0.017*\"swedish\" + 0.016*\"wind\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.013*\"denmark\" + 0.011*\"turkish\" + 0.011*\"danish\"\n", + "2019-01-31 00:49:54,952 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.077*\"octob\" + 0.076*\"sens\" + 0.072*\"januari\" + 0.071*\"notion\" + 0.069*\"juli\" + 0.069*\"april\" + 0.068*\"judici\" + 0.067*\"august\" + 0.066*\"decatur\"\n", + "2019-01-31 00:49:54,958 : INFO : topic diff=0.004669, rho=0.031846\n", + "2019-01-31 00:49:55,117 : INFO : PROGRESS: pass 0, at document #1974000/4922894\n", + "2019-01-31 00:49:56,526 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:56,792 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:49:56,793 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:49:56,795 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.015*\"soviet\" + 0.012*\"juan\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"francisco\" + 0.011*\"josé\"\n", + "2019-01-31 00:49:56,796 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"class\" + 0.010*\"bahá\"\n", + "2019-01-31 00:49:56,797 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.009*\"landslid\"\n", + "2019-01-31 00:49:56,803 : INFO : topic diff=0.004973, rho=0.031830\n", + "2019-01-31 00:49:56,954 : INFO : PROGRESS: pass 0, at document #1976000/4922894\n", + "2019-01-31 00:49:58,316 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:49:58,583 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.041*\"canadian\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.020*\"hoar\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.013*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"vancouv\"\n", + "2019-01-31 00:49:58,584 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.065*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"japanes\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.015*\"misconcept\"\n", + "2019-01-31 00:49:58,585 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.018*\"liber\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.014*\"conserv\"\n", + "2019-01-31 00:49:58,586 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.039*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 00:49:58,587 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"brio\"\n", + "2019-01-31 00:49:58,593 : INFO : topic diff=0.004903, rho=0.031814\n", + "2019-01-31 00:49:58,753 : INFO : PROGRESS: pass 0, at document #1978000/4922894\n", + "2019-01-31 00:50:00,170 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:00,437 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"unionist\" + 0.029*\"new\" + 0.029*\"american\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.016*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:50:00,438 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.011*\"deal\"\n", + "2019-01-31 00:50:00,439 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:50:00,440 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.025*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:50:00,442 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"land\" + 0.008*\"foam\" + 0.008*\"north\" + 0.008*\"lobe\"\n", + "2019-01-31 00:50:00,447 : INFO : topic diff=0.004569, rho=0.031798\n", + "2019-01-31 00:50:03,141 : INFO : -11.702 per-word bound, 3330.5 perplexity estimate based on a held-out corpus of 2000 documents with 579388 words\n", + "2019-01-31 00:50:03,142 : INFO : PROGRESS: pass 0, at document #1980000/4922894\n", + "2019-01-31 00:50:04,519 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:04,787 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.038*\"tortur\" + 0.032*\"cotton\" + 0.028*\"area\" + 0.024*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:50:04,788 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.014*\"leah\" + 0.014*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:50:04,788 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.017*\"folei\" + 0.016*\"player\" + 0.015*\"english\" + 0.010*\"acrimoni\" + 0.010*\"surnam\"\n", + "2019-01-31 00:50:04,789 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"unionist\" + 0.029*\"new\" + 0.029*\"american\" + 0.026*\"cotton\" + 0.017*\"year\" + 0.016*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:50:04,790 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"woman\" + 0.028*\"champion\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.024*\"medal\" + 0.021*\"event\" + 0.019*\"taxpay\" + 0.018*\"atheist\" + 0.018*\"alic\"\n", + "2019-01-31 00:50:04,797 : INFO : topic diff=0.004592, rho=0.031782\n", + "2019-01-31 00:50:05,007 : INFO : PROGRESS: pass 0, at document #1982000/4922894\n", + "2019-01-31 00:50:06,583 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:06,850 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"acid\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:50:06,851 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.024*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:50:06,852 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"black\" + 0.016*\"western\" + 0.016*\"colder\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"arm\" + 0.008*\"depress\"\n", + "2019-01-31 00:50:06,854 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:50:06,855 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.012*\"fool\" + 0.010*\"champion\" + 0.009*\"squatter\"\n", + "2019-01-31 00:50:06,861 : INFO : topic diff=0.004786, rho=0.031766\n", + "2019-01-31 00:50:07,017 : INFO : PROGRESS: pass 0, at document #1984000/4922894\n", + "2019-01-31 00:50:08,393 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:08,659 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.038*\"tortur\" + 0.032*\"cotton\" + 0.027*\"area\" + 0.024*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:50:08,660 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.069*\"juli\" + 0.069*\"april\" + 0.067*\"august\" + 0.066*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 00:50:08,661 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:50:08,662 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:08,663 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.018*\"polit\" + 0.018*\"folei\" + 0.016*\"player\" + 0.015*\"english\" + 0.011*\"acrimoni\" + 0.010*\"simpler\"\n", + "2019-01-31 00:50:08,669 : INFO : topic diff=0.005008, rho=0.031750\n", + "2019-01-31 00:50:08,822 : INFO : PROGRESS: pass 0, at document #1986000/4922894\n", + "2019-01-31 00:50:10,180 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:10,446 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:50:10,447 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:50:10,448 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:50:10,449 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:50:10,450 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"vigour\" + 0.044*\"popolo\" + 0.038*\"tortur\" + 0.032*\"cotton\" + 0.027*\"area\" + 0.024*\"multitud\" + 0.022*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:50:10,456 : INFO : topic diff=0.004318, rho=0.031734\n", + "2019-01-31 00:50:10,615 : INFO : PROGRESS: pass 0, at document #1988000/4922894\n", + "2019-01-31 00:50:12,029 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:12,296 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"militari\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"airmen\" + 0.011*\"airbu\"\n", + "2019-01-31 00:50:12,297 : INFO : topic #35 (0.020): 0.062*\"russia\" + 0.041*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"personifi\" + 0.025*\"poison\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 00:50:12,297 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:50:12,298 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.019*\"polit\" + 0.019*\"dutch\" + 0.017*\"folei\" + 0.017*\"player\" + 0.015*\"english\" + 0.011*\"acrimoni\" + 0.010*\"simpler\"\n", + "2019-01-31 00:50:12,299 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 00:50:12,305 : INFO : topic diff=0.004584, rho=0.031718\n", + "2019-01-31 00:50:12,464 : INFO : PROGRESS: pass 0, at document #1990000/4922894\n", + "2019-01-31 00:50:13,854 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:14,121 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"palmer\" + 0.009*\"land\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 00:50:14,122 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:14,123 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.025*\"minist\" + 0.022*\"govern\" + 0.021*\"nation\" + 0.021*\"member\" + 0.017*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.016*\"seri\"\n", + "2019-01-31 00:50:14,124 : INFO : topic #35 (0.020): 0.062*\"russia\" + 0.041*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 00:50:14,125 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\" + 0.009*\"yawn\"\n", + "2019-01-31 00:50:14,131 : INFO : topic diff=0.004435, rho=0.031702\n", + "2019-01-31 00:50:14,295 : INFO : PROGRESS: pass 0, at document #1992000/4922894\n", + "2019-01-31 00:50:15,836 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:16,103 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.032*\"priest\" + 0.022*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.013*\"count\" + 0.013*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 00:50:16,105 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:16,106 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 00:50:16,107 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.040*\"canadian\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.020*\"hoar\" + 0.015*\"novotná\" + 0.015*\"new\" + 0.014*\"hydrogen\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:50:16,108 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.013*\"televis\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.009*\"singh\"\n", + "2019-01-31 00:50:16,114 : INFO : topic diff=0.006156, rho=0.031686\n", + "2019-01-31 00:50:16,268 : INFO : PROGRESS: pass 0, at document #1994000/4922894\n", + "2019-01-31 00:50:17,626 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:17,892 : INFO : topic #7 (0.020): 0.021*\"di\" + 0.020*\"snatch\" + 0.019*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.011*\"will\" + 0.011*\"daughter\"\n", + "2019-01-31 00:50:17,893 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"fool\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.010*\"horac\" + 0.010*\"champion\"\n", + "2019-01-31 00:50:17,894 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\" + 0.009*\"yawn\"\n", + "2019-01-31 00:50:17,895 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"anglo\" + 0.013*\"televis\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.009*\"singh\"\n", + "2019-01-31 00:50:17,896 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"warmth\" + 0.016*\"lagrang\" + 0.016*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"land\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 00:50:17,902 : INFO : topic diff=0.004276, rho=0.031670\n", + "2019-01-31 00:50:18,056 : INFO : PROGRESS: pass 0, at document #1996000/4922894\n", + "2019-01-31 00:50:19,416 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:19,683 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.015*\"anglo\" + 0.013*\"televis\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.009*\"singh\"\n", + "2019-01-31 00:50:19,684 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\" + 0.009*\"yawn\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:50:19,685 : INFO : topic #35 (0.020): 0.061*\"russia\" + 0.042*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:50:19,686 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.079*\"march\" + 0.077*\"octob\" + 0.069*\"januari\" + 0.069*\"juli\" + 0.069*\"april\" + 0.069*\"notion\" + 0.067*\"august\" + 0.067*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 00:50:19,686 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.028*\"champion\" + 0.026*\"men\" + 0.026*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.019*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:50:19,692 : INFO : topic diff=0.006056, rho=0.031654\n", + "2019-01-31 00:50:19,856 : INFO : PROGRESS: pass 0, at document #1998000/4922894\n", + "2019-01-31 00:50:21,302 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:21,568 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"acid\" + 0.005*\"effect\"\n", + "2019-01-31 00:50:21,569 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.043*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:50:21,570 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.021*\"govern\" + 0.021*\"nation\" + 0.021*\"member\" + 0.017*\"gener\" + 0.016*\"start\" + 0.016*\"serv\" + 0.016*\"seri\"\n", + "2019-01-31 00:50:21,571 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 00:50:21,573 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:50:21,578 : INFO : topic diff=0.006084, rho=0.031639\n", + "2019-01-31 00:50:24,256 : INFO : -11.843 per-word bound, 3674.2 perplexity estimate based on a held-out corpus of 2000 documents with 538045 words\n", + "2019-01-31 00:50:24,256 : INFO : PROGRESS: pass 0, at document #2000000/4922894\n", + "2019-01-31 00:50:25,637 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:25,903 : INFO : topic #27 (0.020): 0.067*\"questionnair\" + 0.019*\"taxpay\" + 0.019*\"candid\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.010*\"horac\" + 0.010*\"champion\"\n", + "2019-01-31 00:50:25,904 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.027*\"australia\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:50:25,905 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:25,906 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:50:25,907 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.008*\"love\" + 0.007*\"gestur\" + 0.007*\"comic\" + 0.006*\"appear\" + 0.006*\"anim\" + 0.005*\"blue\" + 0.005*\"workplac\"\n", + "2019-01-31 00:50:25,913 : INFO : topic diff=0.004384, rho=0.031623\n", + "2019-01-31 00:50:26,072 : INFO : PROGRESS: pass 0, at document #2002000/4922894\n", + "2019-01-31 00:50:27,472 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:27,738 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:50:27,739 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:50:27,740 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:50:27,741 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 00:50:27,742 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:50:27,748 : INFO : topic diff=0.005064, rho=0.031607\n", + "2019-01-31 00:50:27,903 : INFO : PROGRESS: pass 0, at document #2004000/4922894\n", + "2019-01-31 00:50:29,300 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:29,566 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.041*\"canadian\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.020*\"hoar\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:50:29,567 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"replac\" + 0.008*\"princess\"\n", + "2019-01-31 00:50:29,568 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:29,569 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.047*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:50:29,570 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 00:50:29,576 : INFO : topic diff=0.004193, rho=0.031591\n", + "2019-01-31 00:50:29,737 : INFO : PROGRESS: pass 0, at document #2006000/4922894\n", + "2019-01-31 00:50:31,113 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:31,379 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.034*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.013*\"oper\"\n", + "2019-01-31 00:50:31,380 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.019*\"taxpay\" + 0.019*\"alic\" + 0.018*\"atheist\"\n", + "2019-01-31 00:50:31,381 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"acid\" + 0.005*\"effect\"\n", + "2019-01-31 00:50:31,382 : INFO : topic #20 (0.020): 0.147*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:50:31,383 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:50:31,389 : INFO : topic diff=0.004469, rho=0.031575\n", + "2019-01-31 00:50:31,543 : INFO : PROGRESS: pass 0, at document #2008000/4922894\n", + "2019-01-31 00:50:32,913 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:33,179 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"hot\" + 0.009*\"dai\"\n", + "2019-01-31 00:50:33,180 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.047*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:50:33,181 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:50:33,182 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.025*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:50:33,183 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.010*\"horac\"\n", + "2019-01-31 00:50:33,189 : INFO : topic diff=0.004875, rho=0.031560\n", + "2019-01-31 00:50:33,348 : INFO : PROGRESS: pass 0, at document #2010000/4922894\n", + "2019-01-31 00:50:34,751 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:35,018 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.008*\"love\" + 0.007*\"comic\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"anim\" + 0.005*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:50:35,019 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"taxpay\" + 0.019*\"candid\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.010*\"horac\"\n", + "2019-01-31 00:50:35,020 : INFO : topic #7 (0.020): 0.020*\"di\" + 0.020*\"snatch\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 00:50:35,021 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.033*\"cotton\" + 0.027*\"area\" + 0.024*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:50:35,022 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.041*\"line\" + 0.034*\"arsen\" + 0.034*\"raid\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.013*\"oper\"\n", + "2019-01-31 00:50:35,027 : INFO : topic diff=0.004891, rho=0.031544\n", + "2019-01-31 00:50:35,186 : INFO : PROGRESS: pass 0, at document #2012000/4922894\n", + "2019-01-31 00:50:36,604 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:36,871 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:50:36,872 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"govern\" + 0.021*\"nation\" + 0.021*\"member\" + 0.017*\"serv\" + 0.017*\"gener\" + 0.016*\"start\" + 0.016*\"seri\"\n", + "2019-01-31 00:50:36,873 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:50:36,874 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:50:36,875 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.025*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:50:36,881 : INFO : topic diff=0.005384, rho=0.031528\n", + "2019-01-31 00:50:37,092 : INFO : PROGRESS: pass 0, at document #2014000/4922894\n", + "2019-01-31 00:50:38,478 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:38,745 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.008*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"empath\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:50:38,746 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.012*\"women\"\n", + "2019-01-31 00:50:38,747 : INFO : topic #13 (0.020): 0.028*\"sourc\" + 0.027*\"australia\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:50:38,748 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:50:38,749 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:50:38,755 : INFO : topic diff=0.005063, rho=0.031513\n", + "2019-01-31 00:50:38,914 : INFO : PROGRESS: pass 0, at document #2016000/4922894\n", + "2019-01-31 00:50:40,451 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:40,718 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"like\"\n", + "2019-01-31 00:50:40,719 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.013*\"women\"\n", + "2019-01-31 00:50:40,720 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"militari\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:50:40,721 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"replac\" + 0.008*\"princess\"\n", + "2019-01-31 00:50:40,722 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:50:40,728 : INFO : topic diff=0.004565, rho=0.031497\n", + "2019-01-31 00:50:40,888 : INFO : PROGRESS: pass 0, at document #2018000/4922894\n", + "2019-01-31 00:50:42,311 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:42,578 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.017*\"warmth\" + 0.016*\"area\" + 0.016*\"lagrang\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"land\" + 0.008*\"north\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 00:50:42,579 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.018*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"hostil\" + 0.009*\"live\" + 0.008*\"biom\"\n", + "2019-01-31 00:50:42,580 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.042*\"canadian\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.021*\"hoar\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:50:42,581 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.034*\"raid\" + 0.033*\"arsen\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.013*\"oper\"\n", + "2019-01-31 00:50:42,582 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.019*\"com\" + 0.014*\"militari\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:50:42,588 : INFO : topic diff=0.004261, rho=0.031481\n", + "2019-01-31 00:50:45,312 : INFO : -11.609 per-word bound, 3124.1 perplexity estimate based on a held-out corpus of 2000 documents with 559192 words\n", + "2019-01-31 00:50:45,313 : INFO : PROGRESS: pass 0, at document #2020000/4922894\n", + "2019-01-31 00:50:46,717 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:46,983 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.039*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:50:46,984 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"exampl\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"method\" + 0.005*\"measur\"\n", + "2019-01-31 00:50:46,986 : INFO : topic #7 (0.020): 0.020*\"di\" + 0.020*\"snatch\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 00:50:46,987 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.019*\"mexico\" + 0.019*\"del\" + 0.015*\"soviet\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"lizard\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:50:46,988 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.032*\"yawn\" + 0.031*\"jacksonvil\" + 0.022*\"japanes\" + 0.020*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:50:46,994 : INFO : topic diff=0.004643, rho=0.031466\n", + "2019-01-31 00:50:47,150 : INFO : PROGRESS: pass 0, at document #2022000/4922894\n", + "2019-01-31 00:50:48,545 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:48,812 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:50:48,813 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.030*\"priest\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.018*\"grammat\" + 0.016*\"quarterli\" + 0.014*\"count\" + 0.014*\"portugues\" + 0.012*\"brazil\"\n", + "2019-01-31 00:50:48,814 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:50:48,815 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.005*\"cancer\"\n", + "2019-01-31 00:50:48,816 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.039*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:50:48,822 : INFO : topic diff=0.003888, rho=0.031450\n", + "2019-01-31 00:50:48,981 : INFO : PROGRESS: pass 0, at document #2024000/4922894\n", + "2019-01-31 00:50:50,381 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:50,647 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:50,648 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.013*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:50:50,650 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.010*\"market\" + 0.010*\"bank\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:50:50,651 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.012*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 00:50:50,652 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"spectacl\" + 0.006*\"produc\"\n", + "2019-01-31 00:50:50,658 : INFO : topic diff=0.005177, rho=0.031435\n", + "2019-01-31 00:50:50,812 : INFO : PROGRESS: pass 0, at document #2026000/4922894\n", + "2019-01-31 00:50:52,178 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:52,444 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.031*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:52,445 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.012*\"women\"\n", + "2019-01-31 00:50:52,447 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.016*\"liber\" + 0.014*\"republ\" + 0.014*\"conserv\" + 0.013*\"bypass\"\n", + "2019-01-31 00:50:52,448 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.013*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:50:52,449 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.011*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:50:52,455 : INFO : topic diff=0.004865, rho=0.031419\n", + "2019-01-31 00:50:52,608 : INFO : PROGRESS: pass 0, at document #2028000/4922894\n", + "2019-01-31 00:50:53,978 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:54,244 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.016*\"wind\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.012*\"turkish\" + 0.012*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:50:54,245 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"replac\" + 0.008*\"princess\"\n", + "2019-01-31 00:50:54,247 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.015*\"soviet\" + 0.012*\"carlo\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"josé\"\n", + "2019-01-31 00:50:54,247 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.079*\"sens\" + 0.077*\"octob\" + 0.072*\"juli\" + 0.071*\"april\" + 0.070*\"januari\" + 0.069*\"august\" + 0.069*\"notion\" + 0.069*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 00:50:54,249 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"gestur\" + 0.006*\"anim\" + 0.006*\"appear\" + 0.005*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:50:54,254 : INFO : topic diff=0.004494, rho=0.031404\n", + "2019-01-31 00:50:54,410 : INFO : PROGRESS: pass 0, at document #2030000/4922894\n", + "2019-01-31 00:50:55,770 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:56,036 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:50:56,037 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:50:56,038 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.015*\"soviet\" + 0.012*\"juan\" + 0.012*\"carlo\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"josé\"\n", + "2019-01-31 00:50:56,039 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.046*\"popolo\" + 0.045*\"vigour\" + 0.038*\"tortur\" + 0.033*\"cotton\" + 0.027*\"area\" + 0.023*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:50:56,040 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.014*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airbu\"\n", + "2019-01-31 00:50:56,046 : INFO : topic diff=0.004602, rho=0.031388\n", + "2019-01-31 00:50:56,201 : INFO : PROGRESS: pass 0, at document #2032000/4922894\n", + "2019-01-31 00:50:57,580 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:57,847 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.009*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:50:57,848 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:50:57,849 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 00:50:57,850 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:50:57,851 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"spectacl\" + 0.006*\"produc\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:50:57,857 : INFO : topic diff=0.005449, rho=0.031373\n", + "2019-01-31 00:50:58,012 : INFO : PROGRESS: pass 0, at document #2034000/4922894\n", + "2019-01-31 00:50:59,392 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:50:59,659 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:50:59,660 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 00:50:59,661 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.039*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.021*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 00:50:59,662 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.031*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:50:59,663 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:50:59,669 : INFO : topic diff=0.005613, rho=0.031357\n", + "2019-01-31 00:50:59,827 : INFO : PROGRESS: pass 0, at document #2036000/4922894\n", + "2019-01-31 00:51:01,222 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:01,488 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\" + 0.010*\"strategist\"\n", + "2019-01-31 00:51:01,489 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.014*\"portugues\" + 0.014*\"count\" + 0.012*\"brazil\"\n", + "2019-01-31 00:51:01,490 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.046*\"popolo\" + 0.045*\"vigour\" + 0.038*\"tortur\" + 0.033*\"cotton\" + 0.027*\"area\" + 0.023*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:51:01,491 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.014*\"conserv\" + 0.013*\"bypass\"\n", + "2019-01-31 00:51:01,492 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.012*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.012*\"ret\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 00:51:01,499 : INFO : topic diff=0.005632, rho=0.031342\n", + "2019-01-31 00:51:01,655 : INFO : PROGRESS: pass 0, at document #2038000/4922894\n", + "2019-01-31 00:51:03,010 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:03,276 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.024*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.017*\"retroflex\" + 0.017*\"sail\" + 0.011*\"cathedr\" + 0.010*\"centuri\" + 0.009*\"relationship\" + 0.009*\"poll\"\n", + "2019-01-31 00:51:03,277 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"israel\" + 0.014*\"vol\" + 0.014*\"berlin\" + 0.013*\"jewish\" + 0.012*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"isra\"\n", + "2019-01-31 00:51:03,279 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"aza\" + 0.008*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"till\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:51:03,280 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:51:03,281 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"unionist\" + 0.031*\"new\" + 0.030*\"american\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:51:03,287 : INFO : topic diff=0.005952, rho=0.031327\n", + "2019-01-31 00:51:06,053 : INFO : -11.678 per-word bound, 3276.1 perplexity estimate based on a held-out corpus of 2000 documents with 596515 words\n", + "2019-01-31 00:51:06,054 : INFO : PROGRESS: pass 0, at document #2040000/4922894\n", + "2019-01-31 00:51:07,463 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:07,729 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:51:07,730 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:51:07,731 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.028*\"personifi\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:51:07,732 : INFO : topic #3 (0.020): 0.037*\"present\" + 0.027*\"minist\" + 0.026*\"offic\" + 0.021*\"nation\" + 0.021*\"member\" + 0.020*\"govern\" + 0.016*\"gener\" + 0.016*\"start\" + 0.016*\"serv\" + 0.015*\"seri\"\n", + "2019-01-31 00:51:07,733 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:51:07,739 : INFO : topic diff=0.005178, rho=0.031311\n", + "2019-01-31 00:51:07,895 : INFO : PROGRESS: pass 0, at document #2042000/4922894\n", + "2019-01-31 00:51:09,279 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:09,545 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.039*\"line\" + 0.035*\"raid\" + 0.035*\"arsen\" + 0.027*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:51:09,546 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 00:51:09,547 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:51:09,548 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.015*\"soviet\" + 0.012*\"carlo\" + 0.012*\"juan\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"lizard\"\n", + "2019-01-31 00:51:09,549 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.043*\"canadian\" + 0.022*\"toronto\" + 0.021*\"ontario\" + 0.021*\"hoar\" + 0.019*\"colonist\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.013*\"misericordia\" + 0.013*\"novotná\"\n", + "2019-01-31 00:51:09,556 : INFO : topic diff=0.004144, rho=0.031296\n", + "2019-01-31 00:51:09,715 : INFO : PROGRESS: pass 0, at document #2044000/4922894\n", + "2019-01-31 00:51:11,122 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:11,388 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:51:11,389 : INFO : topic #48 (0.020): 0.078*\"march\" + 0.076*\"sens\" + 0.076*\"octob\" + 0.071*\"juli\" + 0.069*\"notion\" + 0.069*\"januari\" + 0.068*\"judici\" + 0.068*\"april\" + 0.068*\"august\" + 0.067*\"decatur\"\n", + "2019-01-31 00:51:11,391 : INFO : topic #37 (0.020): 0.009*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"gestur\" + 0.006*\"appear\" + 0.006*\"anim\" + 0.005*\"blue\" + 0.005*\"vision\"\n", + "2019-01-31 00:51:11,391 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.048*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 00:51:11,393 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"spectacl\" + 0.006*\"produc\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:51:11,398 : INFO : topic diff=0.004961, rho=0.031281\n", + "2019-01-31 00:51:11,558 : INFO : PROGRESS: pass 0, at document #2046000/4922894\n", + "2019-01-31 00:51:12,971 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:13,238 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\" + 0.010*\"strategist\"\n", + "2019-01-31 00:51:13,239 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"bank\" + 0.010*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:51:13,240 : INFO : topic #46 (0.020): 0.019*\"damag\" + 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.012*\"turkish\" + 0.011*\"denmark\" + 0.011*\"ton\"\n", + "2019-01-31 00:51:13,241 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.007*\"cytokin\" + 0.007*\"includ\" + 0.007*\"ural\"\n", + "2019-01-31 00:51:13,242 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.031*\"unionist\" + 0.031*\"new\" + 0.030*\"american\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:51:13,248 : INFO : topic diff=0.004858, rho=0.031265\n", + "2019-01-31 00:51:13,464 : INFO : PROGRESS: pass 0, at document #2048000/4922894\n", + "2019-01-31 00:51:14,840 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:15,106 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.040*\"line\" + 0.035*\"raid\" + 0.034*\"arsen\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.013*\"pain\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:51:15,107 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.007*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"spectacl\" + 0.007*\"encyclopedia\" + 0.006*\"produc\"\n", + "2019-01-31 00:51:15,109 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.024*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.018*\"retroflex\" + 0.016*\"sail\" + 0.010*\"cathedr\" + 0.010*\"centuri\" + 0.009*\"poll\" + 0.009*\"relationship\"\n", + "2019-01-31 00:51:15,110 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:51:15,111 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.014*\"taxpay\" + 0.012*\"defeat\"\n", + "2019-01-31 00:51:15,117 : INFO : topic diff=0.004943, rho=0.031250\n", + "2019-01-31 00:51:15,272 : INFO : PROGRESS: pass 0, at document #2050000/4922894\n", + "2019-01-31 00:51:16,645 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:16,911 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:51:16,912 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:51:16,914 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.018*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"hostil\" + 0.009*\"biom\" + 0.008*\"live\"\n", + "2019-01-31 00:51:16,915 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"spectacl\" + 0.006*\"produc\"\n", + "2019-01-31 00:51:16,916 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:51:16,922 : INFO : topic diff=0.004641, rho=0.031235\n", + "2019-01-31 00:51:17,075 : INFO : PROGRESS: pass 0, at document #2052000/4922894\n", + "2019-01-31 00:51:18,441 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:18,708 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:51:18,709 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"carlo\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"italian\"\n", + "2019-01-31 00:51:18,710 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.012*\"pop\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.007*\"brio\" + 0.007*\"diggin\" + 0.007*\"ural\" + 0.007*\"includ\"\n", + "2019-01-31 00:51:18,711 : INFO : topic #46 (0.020): 0.019*\"damag\" + 0.017*\"sweden\" + 0.017*\"stop\" + 0.017*\"swedish\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.012*\"turkish\" + 0.012*\"denmark\" + 0.011*\"danish\"\n", + "2019-01-31 00:51:18,712 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.040*\"line\" + 0.035*\"raid\" + 0.034*\"arsen\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.017*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:51:18,718 : INFO : topic diff=0.004776, rho=0.031220\n", + "2019-01-31 00:51:18,877 : INFO : PROGRESS: pass 0, at document #2054000/4922894\n", + "2019-01-31 00:51:20,263 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:20,530 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.012*\"denmark\" + 0.012*\"turkish\" + 0.012*\"danish\"\n", + "2019-01-31 00:51:20,531 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.076*\"octob\" + 0.076*\"sens\" + 0.071*\"juli\" + 0.070*\"januari\" + 0.070*\"notion\" + 0.068*\"april\" + 0.068*\"august\" + 0.068*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 00:51:20,532 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:51:20,533 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"brio\" + 0.007*\"ural\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 00:51:20,534 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"carlo\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"josé\"\n", + "2019-01-31 00:51:20,540 : INFO : topic diff=0.004122, rho=0.031204\n", + "2019-01-31 00:51:20,695 : INFO : PROGRESS: pass 0, at document #2056000/4922894\n", + "2019-01-31 00:51:22,077 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:22,344 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 00:51:22,345 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:51:22,346 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.007*\"ural\" + 0.007*\"user\" + 0.007*\"brio\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:51:22,347 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.031*\"new\" + 0.030*\"unionist\" + 0.030*\"american\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.016*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:51:22,348 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"squatter\" + 0.012*\"find\" + 0.011*\"théori\" + 0.011*\"ret\" + 0.010*\"fool\"\n", + "2019-01-31 00:51:22,354 : INFO : topic diff=0.005014, rho=0.031189\n", + "2019-01-31 00:51:22,513 : INFO : PROGRESS: pass 0, at document #2058000/4922894\n", + "2019-01-31 00:51:23,908 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:51:24,174 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"wreath\" + 0.011*\"piec\"\n", + "2019-01-31 00:51:24,175 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"aza\" + 0.009*\"teufel\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"till\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 00:51:24,176 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.045*\"american\" + 0.026*\"valour\" + 0.018*\"folei\" + 0.018*\"player\" + 0.018*\"dutch\" + 0.018*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:51:24,177 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.031*\"new\" + 0.030*\"unionist\" + 0.030*\"american\" + 0.026*\"cotton\" + 0.018*\"year\" + 0.016*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:51:24,178 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.010*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:51:24,184 : INFO : topic diff=0.004734, rho=0.031174\n", + "2019-01-31 00:51:26,892 : INFO : -12.012 per-word bound, 4131.2 perplexity estimate based on a held-out corpus of 2000 documents with 573678 words\n", + "2019-01-31 00:51:26,892 : INFO : PROGRESS: pass 0, at document #2060000/4922894\n", + "2019-01-31 00:51:28,286 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:28,552 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airbu\"\n", + "2019-01-31 00:51:28,553 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"minist\" + 0.027*\"offic\" + 0.021*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.017*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:51:28,554 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.016*\"stop\" + 0.016*\"wind\" + 0.016*\"norwai\" + 0.014*\"norwegian\" + 0.012*\"danish\" + 0.012*\"denmark\" + 0.011*\"turkish\"\n", + "2019-01-31 00:51:28,555 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.043*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.020*\"ontario\" + 0.017*\"colonist\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.013*\"novotná\" + 0.013*\"misericordia\"\n", + "2019-01-31 00:51:28,557 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.005*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 00:51:28,562 : INFO : topic diff=0.005191, rho=0.031159\n", + "2019-01-31 00:51:28,722 : INFO : PROGRESS: pass 0, at document #2062000/4922894\n", + "2019-01-31 00:51:30,140 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:30,406 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.028*\"personifi\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.013*\"malaysia\"\n", + "2019-01-31 00:51:30,407 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:51:30,408 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"charact\" + 0.008*\"septemb\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"gestur\" + 0.006*\"anim\" + 0.006*\"appear\" + 0.005*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:51:30,409 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:51:30,410 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"western\" + 0.016*\"black\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"depress\" + 0.008*\"light\"\n", + "2019-01-31 00:51:30,416 : INFO : topic diff=0.004206, rho=0.031144\n", + "2019-01-31 00:51:30,572 : INFO : PROGRESS: pass 0, at document #2064000/4922894\n", + "2019-01-31 00:51:31,945 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:32,210 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.043*\"canadian\" + 0.021*\"toronto\" + 0.021*\"hoar\" + 0.020*\"ontario\" + 0.017*\"colonist\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.013*\"novotná\" + 0.013*\"misericordia\"\n", + "2019-01-31 00:51:32,211 : INFO : topic #3 (0.020): 0.036*\"present\" + 0.027*\"offic\" + 0.026*\"minist\" + 0.021*\"nation\" + 0.020*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.017*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:51:32,212 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"spectacl\" + 0.007*\"encyclopedia\" + 0.006*\"develop\"\n", + "2019-01-31 00:51:32,214 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:51:32,215 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.027*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"ireland\" + 0.018*\"british\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:51:32,221 : INFO : topic diff=0.005277, rho=0.031129\n", + "2019-01-31 00:51:32,376 : INFO : PROGRESS: pass 0, at document #2066000/4922894\n", + "2019-01-31 00:51:33,741 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:34,008 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.014*\"anglo\" + 0.014*\"islam\" + 0.013*\"televis\" + 0.013*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"alam\" + 0.010*\"affection\"\n", + "2019-01-31 00:51:34,009 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.020*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:51:34,010 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:51:34,011 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.065*\"best\" + 0.031*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.020*\"festiv\" + 0.019*\"noll\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:51:34,012 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.012*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:51:34,018 : INFO : topic diff=0.004418, rho=0.031114\n", + "2019-01-31 00:51:34,169 : INFO : PROGRESS: pass 0, at document #2068000/4922894\n", + "2019-01-31 00:51:35,522 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:35,789 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.020*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:51:35,790 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.038*\"tortur\" + 0.034*\"cotton\" + 0.027*\"area\" + 0.023*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:51:35,791 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.023*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"hostil\" + 0.008*\"live\" + 0.008*\"western\"\n", + "2019-01-31 00:51:35,792 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:51:35,793 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:51:35,799 : INFO : topic diff=0.004478, rho=0.031099\n", + "2019-01-31 00:51:35,957 : INFO : PROGRESS: pass 0, at document #2070000/4922894\n", + "2019-01-31 00:51:37,338 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:51:37,604 : INFO : topic #20 (0.020): 0.147*\"scholar\" + 0.040*\"struggl\" + 0.036*\"high\" + 0.028*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"class\"\n", + "2019-01-31 00:51:37,605 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"damag\" + 0.017*\"sweden\" + 0.016*\"wind\" + 0.016*\"swedish\" + 0.016*\"norwai\" + 0.014*\"norwegian\" + 0.011*\"turkish\" + 0.011*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 00:51:37,606 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.013*\"record\" + 0.011*\"blind\" + 0.008*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:51:37,607 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 00:51:37,608 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.028*\"personifi\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:51:37,614 : INFO : topic diff=0.004602, rho=0.031083\n", + "2019-01-31 00:51:37,763 : INFO : PROGRESS: pass 0, at document #2072000/4922894\n", + "2019-01-31 00:51:39,102 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:39,369 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:51:39,370 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:51:39,371 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 00:51:39,371 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.050*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 00:51:39,373 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:51:39,378 : INFO : topic diff=0.004903, rho=0.031068\n", + "2019-01-31 00:51:39,535 : INFO : PROGRESS: pass 0, at document #2074000/4922894\n", + "2019-01-31 00:51:40,923 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:41,190 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.029*\"personifi\" + 0.026*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 00:51:41,191 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.019*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.008*\"justic\"\n", + "2019-01-31 00:51:41,192 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.043*\"american\" + 0.028*\"valour\" + 0.019*\"player\" + 0.018*\"folei\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:51:41,193 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.007*\"veget\" + 0.007*\"spectacl\" + 0.006*\"encyclopedia\" + 0.006*\"develop\"\n", + "2019-01-31 00:51:41,194 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.017*\"retroflex\" + 0.016*\"sail\" + 0.010*\"historiographi\" + 0.009*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"relationship\"\n", + "2019-01-31 00:51:41,200 : INFO : topic diff=0.005879, rho=0.031054\n", + "2019-01-31 00:51:41,357 : INFO : PROGRESS: pass 0, at document #2076000/4922894\n", + "2019-01-31 00:51:42,731 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:42,997 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"carlo\" + 0.012*\"francisco\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"italian\"\n", + "2019-01-31 00:51:42,998 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 00:51:42,999 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 00:51:43,000 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 00:51:43,002 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.017*\"sweden\" + 0.017*\"norwai\" + 0.017*\"stop\" + 0.016*\"swedish\" + 0.016*\"wind\" + 0.014*\"norwegian\" + 0.011*\"turkish\" + 0.011*\"denmark\" + 0.011*\"danish\"\n", + "2019-01-31 00:51:43,007 : INFO : topic diff=0.004777, rho=0.031039\n", + "2019-01-31 00:51:43,218 : INFO : PROGRESS: pass 0, at document #2078000/4922894\n", + "2019-01-31 00:51:44,580 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:44,847 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 00:51:44,848 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.007*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"spectacl\" + 0.006*\"encyclopedia\" + 0.006*\"develop\"\n", + "2019-01-31 00:51:44,849 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.011*\"wreath\"\n", + "2019-01-31 00:51:44,850 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.037*\"sovereignti\" + 0.031*\"rural\" + 0.029*\"personifi\" + 0.026*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"turin\"\n", + "2019-01-31 00:51:44,851 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 00:51:44,857 : INFO : topic diff=0.004845, rho=0.031024\n", + "2019-01-31 00:51:47,535 : INFO : -11.723 per-word bound, 3379.6 perplexity estimate based on a held-out corpus of 2000 documents with 550703 words\n", + "2019-01-31 00:51:47,536 : INFO : PROGRESS: pass 0, at document #2080000/4922894\n", + "2019-01-31 00:51:48,923 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:49,191 : INFO : topic #38 (0.020): 0.025*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"till\" + 0.007*\"armi\" + 0.006*\"pour\" + 0.006*\"govern\"\n", + "2019-01-31 00:51:49,192 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.039*\"line\" + 0.035*\"raid\" + 0.035*\"arsen\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.014*\"pain\" + 0.013*\"rosenwald\" + 0.012*\"exhaust\"\n", + "2019-01-31 00:51:49,193 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.034*\"cotton\" + 0.026*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.021*\"regim\" + 0.020*\"cede\"\n", + "2019-01-31 00:51:49,194 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:51:49,195 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 00:51:49,202 : INFO : topic diff=0.004875, rho=0.031009\n", + "2019-01-31 00:51:49,392 : INFO : PROGRESS: pass 0, at document #2082000/4922894\n", + "2019-01-31 00:51:50,750 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:51:51,015 : INFO : topic #32 (0.020): 0.057*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.034*\"cotton\" + 0.026*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.021*\"regim\" + 0.020*\"cede\"\n", + "2019-01-31 00:51:51,016 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"taxpay\" + 0.019*\"candid\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.012*\"squatter\" + 0.012*\"théori\" + 0.011*\"find\" + 0.010*\"ret\"\n", + "2019-01-31 00:51:51,018 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:51:51,019 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.049*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 00:51:51,020 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:51:51,026 : INFO : topic diff=0.005542, rho=0.030994\n", + "2019-01-31 00:51:51,187 : INFO : PROGRESS: pass 0, at document #2084000/4922894\n", + "2019-01-31 00:51:52,622 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:52,888 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.027*\"offic\" + 0.026*\"minist\" + 0.021*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.017*\"serv\" + 0.017*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:51:52,889 : INFO : topic #46 (0.020): 0.017*\"damag\" + 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"swedish\" + 0.016*\"wind\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"turkish\" + 0.011*\"denmark\"\n", + "2019-01-31 00:51:52,890 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.007*\"softwar\" + 0.007*\"ural\" + 0.007*\"cytokin\" + 0.007*\"championship\"\n", + "2019-01-31 00:51:52,891 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.013*\"count\" + 0.012*\"kingdom\" + 0.012*\"portugues\"\n", + "2019-01-31 00:51:52,893 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.028*\"champion\" + 0.028*\"workplac\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.019*\"taxpay\" + 0.019*\"alic\"\n", + "2019-01-31 00:51:52,899 : INFO : topic diff=0.004858, rho=0.030979\n", + "2019-01-31 00:51:53,053 : INFO : PROGRESS: pass 0, at document #2086000/4922894\n", + "2019-01-31 00:51:54,423 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:54,689 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n", + "2019-01-31 00:51:54,690 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.049*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 00:51:54,692 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:51:54,693 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 00:51:54,694 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"francisco\" + 0.012*\"carlo\" + 0.011*\"lizard\" + 0.011*\"italian\" + 0.011*\"juan\"\n", + "2019-01-31 00:51:54,700 : INFO : topic diff=0.004670, rho=0.030964\n", + "2019-01-31 00:51:54,859 : INFO : PROGRESS: pass 0, at document #2088000/4922894\n", + "2019-01-31 00:51:56,260 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:56,526 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.043*\"canadian\" + 0.022*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.016*\"colonist\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\"\n", + "2019-01-31 00:51:56,528 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.040*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"class\"\n", + "2019-01-31 00:51:56,529 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.043*\"american\" + 0.028*\"valour\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:51:56,530 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.032*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.020*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:51:56,531 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.025*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:51:56,537 : INFO : topic diff=0.005544, rho=0.030949\n", + "2019-01-31 00:51:56,695 : INFO : PROGRESS: pass 0, at document #2090000/4922894\n", + "2019-01-31 00:51:58,093 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:51:58,359 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.028*\"sourc\" + 0.026*\"new\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:51:58,360 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"brio\" + 0.007*\"user\" + 0.007*\"championship\" + 0.007*\"cytokin\" + 0.007*\"softwar\"\n", + "2019-01-31 00:51:58,362 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.020*\"champion\" + 0.016*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 00:51:58,363 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:51:58,364 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:51:58,370 : INFO : topic diff=0.005200, rho=0.030934\n", + "2019-01-31 00:51:58,527 : INFO : PROGRESS: pass 0, at document #2092000/4922894\n", + "2019-01-31 00:51:59,915 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:00,182 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.011*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:52:00,183 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"black\" + 0.016*\"colder\" + 0.016*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.009*\"depress\" + 0.007*\"arm\"\n", + "2019-01-31 00:52:00,184 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"requir\" + 0.021*\"institut\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.011*\"governor\"\n", + "2019-01-31 00:52:00,185 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"brio\" + 0.008*\"championship\" + 0.007*\"cytokin\" + 0.007*\"softwar\" + 0.007*\"user\"\n", + "2019-01-31 00:52:00,186 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.050*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.016*\"leah\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 00:52:00,192 : INFO : topic diff=0.004904, rho=0.030920\n", + "2019-01-31 00:52:00,351 : INFO : PROGRESS: pass 0, at document #2094000/4922894\n", + "2019-01-31 00:52:01,745 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:02,012 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:52:02,014 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"brio\" + 0.008*\"cytokin\" + 0.007*\"user\" + 0.007*\"championship\" + 0.007*\"softwar\"\n", + "2019-01-31 00:52:02,015 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.065*\"best\" + 0.032*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.020*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:52:02,016 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.028*\"champion\" + 0.028*\"workplac\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.019*\"taxpay\"\n", + "2019-01-31 00:52:02,017 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.006*\"southern\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 00:52:02,023 : INFO : topic diff=0.005287, rho=0.030905\n", + "2019-01-31 00:52:02,175 : INFO : PROGRESS: pass 0, at document #2096000/4922894\n", + "2019-01-31 00:52:03,536 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:03,803 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.014*\"islam\" + 0.014*\"anglo\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"affection\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.009*\"alam\"\n", + "2019-01-31 00:52:03,804 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.040*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"district\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 00:52:03,806 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"liber\" + 0.013*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 00:52:03,807 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:52:03,808 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.043*\"american\" + 0.028*\"valour\" + 0.019*\"folei\" + 0.018*\"player\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:52:03,814 : INFO : topic diff=0.005021, rho=0.030890\n", + "2019-01-31 00:52:03,977 : INFO : PROGRESS: pass 0, at document #2098000/4922894\n", + "2019-01-31 00:52:05,405 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:05,671 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.027*\"personifi\" + 0.026*\"poison\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 00:52:05,672 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:52:05,673 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.043*\"canadian\" + 0.022*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"colonist\" + 0.015*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"new\" + 0.013*\"novotná\"\n", + "2019-01-31 00:52:05,675 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:52:05,676 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"brio\" + 0.008*\"cytokin\" + 0.007*\"user\" + 0.007*\"championship\" + 0.007*\"softwar\"\n", + "2019-01-31 00:52:05,681 : INFO : topic diff=0.005405, rho=0.030875\n", + "2019-01-31 00:52:08,311 : INFO : -11.540 per-word bound, 2978.5 perplexity estimate based on a held-out corpus of 2000 documents with 524481 words\n", + "2019-01-31 00:52:08,311 : INFO : PROGRESS: pass 0, at document #2100000/4922894\n", + "2019-01-31 00:52:10,020 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:10,288 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"black\" + 0.016*\"colder\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:52:10,290 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:52:10,291 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 00:52:10,292 : INFO : topic #48 (0.020): 0.078*\"march\" + 0.076*\"octob\" + 0.074*\"sens\" + 0.069*\"notion\" + 0.068*\"januari\" + 0.067*\"juli\" + 0.066*\"decatur\" + 0.066*\"august\" + 0.065*\"april\" + 0.065*\"judici\"\n", + "2019-01-31 00:52:10,293 : INFO : topic #32 (0.020): 0.055*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.037*\"tortur\" + 0.035*\"cotton\" + 0.026*\"area\" + 0.022*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:52:10,299 : INFO : topic diff=0.005316, rho=0.030861\n", + "2019-01-31 00:52:10,459 : INFO : PROGRESS: pass 0, at document #2102000/4922894\n", + "2019-01-31 00:52:11,876 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:12,142 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:52:12,143 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.017*\"compos\" + 0.017*\"place\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"word\" + 0.011*\"physician\"\n", + "2019-01-31 00:52:12,144 : INFO : topic #9 (0.020): 0.080*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.010*\"simpler\"\n", + "2019-01-31 00:52:12,145 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"class\"\n", + "2019-01-31 00:52:12,146 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.011*\"francisco\" + 0.011*\"carlo\" + 0.011*\"lizard\" + 0.011*\"italian\" + 0.011*\"juan\"\n", + "2019-01-31 00:52:12,152 : INFO : topic diff=0.005163, rho=0.030846\n", + "2019-01-31 00:52:12,310 : INFO : PROGRESS: pass 0, at document #2104000/4922894\n", + "2019-01-31 00:52:14,205 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:14,472 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"requir\" + 0.021*\"institut\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:52:14,473 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.049*\"chilton\" + 0.021*\"hong\" + 0.021*\"korea\" + 0.021*\"kong\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 00:52:14,474 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:52:14,475 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.011*\"diversifi\" + 0.011*\"airbu\"\n", + "2019-01-31 00:52:14,476 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"colonist\" + 0.014*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"new\" + 0.013*\"novotná\"\n", + "2019-01-31 00:52:14,482 : INFO : topic diff=0.004590, rho=0.030831\n", + "2019-01-31 00:52:14,635 : INFO : PROGRESS: pass 0, at document #2106000/4922894\n", + "2019-01-31 00:52:16,005 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:16,272 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:52:16,273 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.049*\"chilton\" + 0.022*\"korea\" + 0.021*\"hong\" + 0.021*\"kong\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 00:52:16,274 : INFO : topic #46 (0.020): 0.022*\"damag\" + 0.018*\"stop\" + 0.015*\"sweden\" + 0.015*\"swedish\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.013*\"norwegian\" + 0.013*\"ton\" + 0.011*\"farid\" + 0.011*\"turkish\"\n", + "2019-01-31 00:52:16,275 : INFO : topic #48 (0.020): 0.076*\"march\" + 0.076*\"octob\" + 0.074*\"sens\" + 0.068*\"notion\" + 0.067*\"januari\" + 0.066*\"juli\" + 0.065*\"decatur\" + 0.065*\"august\" + 0.064*\"april\" + 0.064*\"judici\"\n", + "2019-01-31 00:52:16,276 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:52:16,282 : INFO : topic diff=0.005471, rho=0.030817\n", + "2019-01-31 00:52:16,437 : INFO : PROGRESS: pass 0, at document #2108000/4922894\n", + "2019-01-31 00:52:17,815 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:18,081 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"charact\" + 0.009*\"septemb\" + 0.007*\"comic\" + 0.007*\"love\" + 0.006*\"anim\" + 0.006*\"gestur\" + 0.006*\"appear\" + 0.005*\"workplac\" + 0.005*\"vision\"\n", + "2019-01-31 00:52:18,082 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:52:18,083 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.008*\"median\"\n", + "2019-01-31 00:52:18,084 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.013*\"record\" + 0.011*\"blind\" + 0.009*\"depress\" + 0.007*\"light\"\n", + "2019-01-31 00:52:18,085 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.039*\"line\" + 0.033*\"arsen\" + 0.033*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.013*\"pain\" + 0.012*\"exhaust\" + 0.012*\"rosenwald\"\n", + "2019-01-31 00:52:18,091 : INFO : topic diff=0.005763, rho=0.030802\n", + "2019-01-31 00:52:18,300 : INFO : PROGRESS: pass 0, at document #2110000/4922894\n", + "2019-01-31 00:52:19,687 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:19,953 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:52:19,954 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"charact\" + 0.009*\"septemb\" + 0.007*\"comic\" + 0.007*\"love\" + 0.007*\"anim\" + 0.006*\"gestur\" + 0.006*\"appear\" + 0.005*\"workplac\" + 0.005*\"vision\"\n", + "2019-01-31 00:52:19,956 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:52:19,956 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.016*\"malaysia\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:52:19,957 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"centuri\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:52:19,963 : INFO : topic diff=0.004764, rho=0.030787\n", + "2019-01-31 00:52:20,118 : INFO : PROGRESS: pass 0, at document #2112000/4922894\n", + "2019-01-31 00:52:21,503 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:21,769 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.015*\"liber\" + 0.013*\"seaport\" + 0.013*\"bypass\"\n", + "2019-01-31 00:52:21,770 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.031*\"new\" + 0.030*\"american\" + 0.029*\"unionist\" + 0.027*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:52:21,771 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.009*\"charact\" + 0.009*\"septemb\" + 0.007*\"comic\" + 0.007*\"love\" + 0.007*\"anim\" + 0.006*\"gestur\" + 0.006*\"appear\" + 0.005*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:52:21,772 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.012*\"champion\" + 0.012*\"fool\" + 0.011*\"théori\" + 0.011*\"ret\"\n", + "2019-01-31 00:52:21,774 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:52:21,779 : INFO : topic diff=0.004469, rho=0.030773\n", + "2019-01-31 00:52:21,944 : INFO : PROGRESS: pass 0, at document #2114000/4922894\n", + "2019-01-31 00:52:23,390 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:23,656 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:52:23,657 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:52:23,658 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.030*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:52:23,659 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.022*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.014*\"colonist\" + 0.013*\"novotná\"\n", + "2019-01-31 00:52:23,660 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.037*\"tortur\" + 0.034*\"cotton\" + 0.026*\"area\" + 0.022*\"multitud\" + 0.021*\"regim\" + 0.020*\"cede\" + 0.020*\"citi\"\n", + "2019-01-31 00:52:23,666 : INFO : topic diff=0.006252, rho=0.030758\n", + "2019-01-31 00:52:23,820 : INFO : PROGRESS: pass 0, at document #2116000/4922894\n", + "2019-01-31 00:52:25,186 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:25,452 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:52:25,453 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"new\" + 0.014*\"colonist\" + 0.012*\"quebec\"\n", + "2019-01-31 00:52:25,454 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.032*\"priest\" + 0.021*\"rotterdam\" + 0.020*\"duke\" + 0.019*\"grammat\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.014*\"count\" + 0.014*\"kingdom\" + 0.012*\"portugues\"\n", + "2019-01-31 00:52:25,455 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"govern\" + 0.021*\"nation\" + 0.020*\"serv\" + 0.020*\"member\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:52:25,456 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 00:52:25,462 : INFO : topic diff=0.004050, rho=0.030744\n", + "2019-01-31 00:52:25,622 : INFO : PROGRESS: pass 0, at document #2118000/4922894\n", + "2019-01-31 00:52:27,014 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:27,280 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"class\" + 0.008*\"fleet\"\n", + "2019-01-31 00:52:27,281 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:52:27,282 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.011*\"refut\" + 0.011*\"airbu\"\n", + "2019-01-31 00:52:27,283 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:52:27,284 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"nation\" + 0.021*\"govern\" + 0.020*\"serv\" + 0.020*\"member\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:52:27,290 : INFO : topic diff=0.005558, rho=0.030729\n", + "2019-01-31 00:52:30,023 : INFO : -11.502 per-word bound, 2900.4 perplexity estimate based on a held-out corpus of 2000 documents with 560350 words\n", + "2019-01-31 00:52:30,023 : INFO : PROGRESS: pass 0, at document #2120000/4922894\n", + "2019-01-31 00:52:31,429 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:31,695 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.031*\"new\" + 0.030*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:52:31,696 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:52:31,698 : INFO : topic #13 (0.020): 0.028*\"new\" + 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:52:31,699 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:52:31,700 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.018*\"alic\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:52:31,706 : INFO : topic diff=0.004722, rho=0.030715\n", + "2019-01-31 00:52:31,867 : INFO : PROGRESS: pass 0, at document #2122000/4922894\n", + "2019-01-31 00:52:33,273 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:33,539 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 00:52:33,541 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.014*\"colonist\" + 0.012*\"quebec\"\n", + "2019-01-31 00:52:33,542 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.017*\"damn\" + 0.017*\"compos\" + 0.017*\"place\" + 0.015*\"orchestr\" + 0.012*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 00:52:33,543 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 00:52:33,544 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.011*\"hostil\" + 0.010*\"genu\" + 0.009*\"live\" + 0.009*\"median\"\n", + "2019-01-31 00:52:33,550 : INFO : topic diff=0.006739, rho=0.030700\n", + "2019-01-31 00:52:33,711 : INFO : PROGRESS: pass 0, at document #2124000/4922894\n", + "2019-01-31 00:52:35,129 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:35,396 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.066*\"best\" + 0.031*\"yawn\" + 0.029*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"misconcept\"\n", + "2019-01-31 00:52:35,397 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:52:35,398 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"colonist\" + 0.013*\"quebec\"\n", + "2019-01-31 00:52:35,399 : INFO : topic #13 (0.020): 0.028*\"new\" + 0.027*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:52:35,400 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"georg\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:52:35,406 : INFO : topic diff=0.004119, rho=0.030686\n", + "2019-01-31 00:52:35,562 : INFO : PROGRESS: pass 0, at document #2126000/4922894\n", + "2019-01-31 00:52:36,940 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:37,206 : INFO : topic #29 (0.020): 0.027*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.010*\"produc\" + 0.010*\"market\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:52:37,208 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.008*\"battalion\" + 0.008*\"empath\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.006*\"pour\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 00:52:37,209 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.023*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.010*\"constitut\" + 0.010*\"briarwood\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:52:37,210 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.010*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:52:37,211 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"epiru\" + 0.024*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:52:37,217 : INFO : topic diff=0.004646, rho=0.030671\n", + "2019-01-31 00:52:37,373 : INFO : PROGRESS: pass 0, at document #2128000/4922894\n", + "2019-01-31 00:52:38,750 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:39,017 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.020*\"aggress\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"refut\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:52:39,018 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"liber\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 00:52:39,019 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 00:52:39,020 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.022*\"hong\" + 0.022*\"korea\" + 0.021*\"kong\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.016*\"leah\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 00:52:39,022 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n", + "2019-01-31 00:52:39,028 : INFO : topic diff=0.004411, rho=0.030657\n", + "2019-01-31 00:52:39,182 : INFO : PROGRESS: pass 0, at document #2130000/4922894\n", + "2019-01-31 00:52:40,560 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:40,827 : INFO : topic #20 (0.020): 0.148*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"district\"\n", + "2019-01-31 00:52:40,828 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"crayfish\" + 0.009*\"land\" + 0.009*\"palmer\" + 0.009*\"vacant\" + 0.008*\"north\"\n", + "2019-01-31 00:52:40,829 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"differ\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:52:40,831 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.023*\"factor\" + 0.020*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"hostil\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"live\"\n", + "2019-01-31 00:52:40,832 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:52:40,838 : INFO : topic diff=0.005138, rho=0.030643\n", + "2019-01-31 00:52:40,993 : INFO : PROGRESS: pass 0, at document #2132000/4922894\n", + "2019-01-31 00:52:42,372 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:42,639 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 00:52:42,640 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.031*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:52:42,642 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"aza\" + 0.008*\"battalion\" + 0.008*\"empath\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"govern\"\n", + "2019-01-31 00:52:42,643 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.011*\"busi\" + 0.011*\"produc\" + 0.010*\"market\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:52:42,644 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.013*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"like\"\n", + "2019-01-31 00:52:42,650 : INFO : topic diff=0.004653, rho=0.030628\n", + "2019-01-31 00:52:42,813 : INFO : PROGRESS: pass 0, at document #2134000/4922894\n", + "2019-01-31 00:52:44,245 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:44,511 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.023*\"hong\" + 0.022*\"korea\" + 0.022*\"kong\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.015*\"shirin\"\n", + "2019-01-31 00:52:44,513 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"line\" + 0.034*\"arsen\" + 0.032*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.012*\"rosenwald\"\n", + "2019-01-31 00:52:44,514 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.022*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:52:44,515 : INFO : topic #13 (0.020): 0.029*\"new\" + 0.027*\"sourc\" + 0.027*\"australia\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:52:44,517 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:52:44,522 : INFO : topic diff=0.005083, rho=0.030614\n", + "2019-01-31 00:52:44,679 : INFO : PROGRESS: pass 0, at document #2136000/4922894\n", + "2019-01-31 00:52:46,063 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:46,330 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 00:52:46,331 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:52:46,332 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:52:46,334 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:52:46,335 : INFO : topic #9 (0.020): 0.079*\"bone\" + 0.047*\"american\" + 0.027*\"valour\" + 0.019*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.016*\"dutch\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"surnam\"\n", + "2019-01-31 00:52:46,341 : INFO : topic diff=0.004378, rho=0.030600\n", + "2019-01-31 00:52:46,493 : INFO : PROGRESS: pass 0, at document #2138000/4922894\n", + "2019-01-31 00:52:47,872 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:48,139 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"italian\" + 0.011*\"santa\" + 0.011*\"lizard\"\n", + "2019-01-31 00:52:48,140 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:52:48,141 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"serv\" + 0.021*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:52:48,142 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"poll\"\n", + "2019-01-31 00:52:48,144 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:52:48,149 : INFO : topic diff=0.004352, rho=0.030585\n", + "2019-01-31 00:52:50,871 : INFO : -11.783 per-word bound, 3523.8 perplexity estimate based on a held-out corpus of 2000 documents with 552413 words\n", + "2019-01-31 00:52:50,872 : INFO : PROGRESS: pass 0, at document #2140000/4922894\n", + "2019-01-31 00:52:52,281 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:52,548 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:52:52,549 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 00:52:52,550 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.016*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 00:52:52,552 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 00:52:52,553 : INFO : topic #13 (0.020): 0.029*\"new\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:52:52,559 : INFO : topic diff=0.004782, rho=0.030571\n", + "2019-01-31 00:52:52,712 : INFO : PROGRESS: pass 0, at document #2142000/4922894\n", + "2019-01-31 00:52:54,076 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:54,343 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.006*\"servitud\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 00:52:54,344 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.014*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:52:54,345 : INFO : topic #13 (0.020): 0.028*\"new\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:52:54,346 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.025*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:52:54,348 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:52:54,354 : INFO : topic diff=0.005411, rho=0.030557\n", + "2019-01-31 00:52:54,574 : INFO : PROGRESS: pass 0, at document #2144000/4922894\n", + "2019-01-31 00:52:55,990 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:56,257 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:52:56,258 : INFO : topic #40 (0.020): 0.091*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"requir\" + 0.021*\"institut\" + 0.019*\"student\" + 0.016*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 00:52:56,259 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.016*\"western\" + 0.016*\"black\" + 0.013*\"record\" + 0.011*\"blind\" + 0.009*\"depress\" + 0.007*\"pain\"\n", + "2019-01-31 00:52:56,260 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.031*\"new\" + 0.030*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.019*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 00:52:56,262 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.011*\"italian\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.011*\"francisco\"\n", + "2019-01-31 00:52:56,267 : INFO : topic diff=0.004642, rho=0.030542\n", + "2019-01-31 00:52:56,423 : INFO : PROGRESS: pass 0, at document #2146000/4922894\n", + "2019-01-31 00:52:57,803 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:58,069 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.022*\"rotterdam\" + 0.020*\"duke\" + 0.019*\"grammat\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.014*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:52:58,070 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:52:58,071 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 00:52:58,072 : INFO : topic #46 (0.020): 0.019*\"damag\" + 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"turkish\" + 0.011*\"treeless\" + 0.011*\"farid\"\n", + "2019-01-31 00:52:58,074 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:52:58,080 : INFO : topic diff=0.004320, rho=0.030528\n", + "2019-01-31 00:52:58,235 : INFO : PROGRESS: pass 0, at document #2148000/4922894\n", + "2019-01-31 00:52:59,629 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:52:59,895 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"affection\" + 0.009*\"alam\" + 0.009*\"start\"\n", + "2019-01-31 00:52:59,896 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"produc\" + 0.010*\"market\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:52:59,897 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.009*\"poll\" + 0.009*\"relationship\" + 0.009*\"john\"\n", + "2019-01-31 00:52:59,899 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 00:52:59,900 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.017*\"martin\" + 0.015*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 00:52:59,906 : INFO : topic diff=0.003981, rho=0.030514\n", + "2019-01-31 00:53:00,062 : INFO : PROGRESS: pass 0, at document #2150000/4922894\n", + "2019-01-31 00:53:01,443 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:01,710 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"produc\" + 0.010*\"market\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:53:01,711 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.020*\"champion\" + 0.017*\"chamber\" + 0.016*\"martin\" + 0.016*\"tiepolo\" + 0.015*\"taxpay\" + 0.013*\"open\"\n", + "2019-01-31 00:53:01,712 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:53:01,713 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"serv\" + 0.021*\"govern\" + 0.020*\"member\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:53:01,714 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:53:01,720 : INFO : topic diff=0.004137, rho=0.030500\n", + "2019-01-31 00:53:01,875 : INFO : PROGRESS: pass 0, at document #2152000/4922894\n", + "2019-01-31 00:53:03,256 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:03,522 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.031*\"new\" + 0.030*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.019*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 00:53:03,523 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:53:03,525 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:53:03,526 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:53:03,527 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.042*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"hydrogen\" + 0.013*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 00:53:03,533 : INFO : topic diff=0.004978, rho=0.030486\n", + "2019-01-31 00:53:03,692 : INFO : PROGRESS: pass 0, at document #2154000/4922894\n", + "2019-01-31 00:53:05,092 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:05,357 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.042*\"canadian\" + 0.023*\"toronto\" + 0.021*\"hoar\" + 0.019*\"ontario\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"hydrogen\" + 0.013*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 00:53:05,358 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:53:05,360 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:53:05,361 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.067*\"best\" + 0.031*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:53:05,362 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.021*\"serv\" + 0.021*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:53:05,368 : INFO : topic diff=0.005291, rho=0.030471\n", + "2019-01-31 00:53:05,529 : INFO : PROGRESS: pass 0, at document #2156000/4922894\n", + "2019-01-31 00:53:06,914 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:07,181 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.066*\"best\" + 0.031*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:53:07,182 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.025*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:53:07,183 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"brio\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"cytokin\"\n", + "2019-01-31 00:53:07,184 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.009*\"class\"\n", + "2019-01-31 00:53:07,185 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:53:07,191 : INFO : topic diff=0.004198, rho=0.030457\n", + "2019-01-31 00:53:07,355 : INFO : PROGRESS: pass 0, at document #2158000/4922894\n", + "2019-01-31 00:53:08,751 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:09,017 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.011*\"italian\" + 0.011*\"carlo\" + 0.011*\"santa\" + 0.011*\"lizard\"\n", + "2019-01-31 00:53:09,019 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.015*\"orchestr\" + 0.012*\"physician\" + 0.012*\"jack\" + 0.012*\"word\"\n", + "2019-01-31 00:53:09,020 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.013*\"seaport\" + 0.013*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 00:53:09,021 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.034*\"arsen\" + 0.031*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"rosenwald\" + 0.012*\"exhaust\"\n", + "2019-01-31 00:53:09,022 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.068*\"juli\" + 0.068*\"notion\" + 0.067*\"januari\" + 0.067*\"august\" + 0.066*\"judici\" + 0.065*\"april\" + 0.063*\"decatur\"\n", + "2019-01-31 00:53:09,028 : INFO : topic diff=0.003990, rho=0.030443\n", + "2019-01-31 00:53:11,702 : INFO : -11.803 per-word bound, 3573.1 perplexity estimate based on a held-out corpus of 2000 documents with 545454 words\n", + "2019-01-31 00:53:11,703 : INFO : PROGRESS: pass 0, at document #2160000/4922894\n", + "2019-01-31 00:53:13,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:13,354 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:53:13,355 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:53:13,357 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.013*\"ret\" + 0.013*\"squatter\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"champion\"\n", + "2019-01-31 00:53:13,358 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"vacant\" + 0.009*\"palmer\" + 0.008*\"crayfish\" + 0.008*\"land\"\n", + "2019-01-31 00:53:13,359 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.007*\"workplac\"\n", + "2019-01-31 00:53:13,365 : INFO : topic diff=0.004862, rho=0.030429\n", + "2019-01-31 00:53:13,528 : INFO : PROGRESS: pass 0, at document #2162000/4922894\n", + "2019-01-31 00:53:14,960 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:15,226 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"vacant\" + 0.009*\"palmer\" + 0.008*\"crayfish\" + 0.008*\"land\"\n", + "2019-01-31 00:53:15,227 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"origin\" + 0.009*\"form\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 00:53:15,229 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.021*\"nation\" + 0.021*\"govern\" + 0.021*\"serv\" + 0.020*\"member\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:53:15,230 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.034*\"arsen\" + 0.031*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.014*\"pain\" + 0.013*\"exhaust\" + 0.013*\"rosenwald\"\n", + "2019-01-31 00:53:15,231 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 00:53:15,237 : INFO : topic diff=0.004586, rho=0.030415\n", + "2019-01-31 00:53:15,392 : INFO : PROGRESS: pass 0, at document #2164000/4922894\n", + "2019-01-31 00:53:16,780 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:17,046 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"district\" + 0.009*\"class\"\n", + "2019-01-31 00:53:17,047 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.028*\"incumb\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.013*\"televis\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"singh\" + 0.010*\"affection\" + 0.009*\"alam\"\n", + "2019-01-31 00:53:17,049 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.008*\"brio\" + 0.007*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 00:53:17,050 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.040*\"line\" + 0.034*\"arsen\" + 0.031*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.014*\"pain\" + 0.013*\"rosenwald\" + 0.013*\"exhaust\"\n", + "2019-01-31 00:53:17,051 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.013*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:53:17,057 : INFO : topic diff=0.004641, rho=0.030401\n", + "2019-01-31 00:53:17,221 : INFO : PROGRESS: pass 0, at document #2166000/4922894\n", + "2019-01-31 00:53:18,637 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:18,903 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.007*\"anim\" + 0.006*\"gestur\" + 0.005*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:53:18,905 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.012*\"juan\" + 0.012*\"carlo\" + 0.011*\"santa\" + 0.011*\"italian\" + 0.011*\"lizard\"\n", + "2019-01-31 00:53:18,906 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.028*\"incumb\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.013*\"televis\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"affection\" + 0.010*\"singh\" + 0.010*\"start\"\n", + "2019-01-31 00:53:18,907 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"area\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"vacant\" + 0.008*\"palmer\" + 0.008*\"crayfish\" + 0.008*\"land\"\n", + "2019-01-31 00:53:18,908 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.027*\"poison\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.020*\"poland\" + 0.019*\"moscow\" + 0.017*\"alexand\" + 0.015*\"tyrant\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:53:18,914 : INFO : topic diff=0.006502, rho=0.030387\n", + "2019-01-31 00:53:19,073 : INFO : PROGRESS: pass 0, at document #2168000/4922894\n", + "2019-01-31 00:53:20,467 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:20,733 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.021*\"champion\" + 0.020*\"tourist\" + 0.016*\"chamber\" + 0.016*\"martin\" + 0.016*\"tiepolo\" + 0.015*\"taxpay\" + 0.012*\"women\"\n", + "2019-01-31 00:53:20,735 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.017*\"colder\" + 0.017*\"illicit\" + 0.015*\"western\" + 0.015*\"black\" + 0.013*\"record\" + 0.011*\"blind\" + 0.009*\"depress\" + 0.008*\"arm\"\n", + "2019-01-31 00:53:20,736 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.075*\"octob\" + 0.068*\"juli\" + 0.068*\"januari\" + 0.068*\"notion\" + 0.067*\"august\" + 0.066*\"judici\" + 0.066*\"april\" + 0.063*\"decatur\"\n", + "2019-01-31 00:53:20,737 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:53:20,738 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.017*\"lagrang\" + 0.016*\"area\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"vacant\" + 0.008*\"palmer\" + 0.008*\"land\" + 0.008*\"crayfish\"\n", + "2019-01-31 00:53:20,744 : INFO : topic diff=0.004136, rho=0.030373\n", + "2019-01-31 00:53:20,902 : INFO : PROGRESS: pass 0, at document #2170000/4922894\n", + "2019-01-31 00:53:22,294 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:22,561 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:53:22,562 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:53:22,563 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.069*\"juli\" + 0.068*\"januari\" + 0.068*\"notion\" + 0.067*\"august\" + 0.066*\"judici\" + 0.066*\"april\" + 0.062*\"decatur\"\n", + "2019-01-31 00:53:22,564 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.032*\"priest\" + 0.022*\"duke\" + 0.021*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.013*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:53:22,565 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"line\" + 0.034*\"arsen\" + 0.031*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.013*\"pain\" + 0.013*\"exhaust\" + 0.013*\"rosenwald\"\n", + "2019-01-31 00:53:22,571 : INFO : topic diff=0.004951, rho=0.030359\n", + "2019-01-31 00:53:22,728 : INFO : PROGRESS: pass 0, at document #2172000/4922894\n", + "2019-01-31 00:53:24,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:24,411 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwai\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"turkish\" + 0.011*\"turkei\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:53:24,412 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"line\" + 0.034*\"arsen\" + 0.032*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.017*\"serv\" + 0.013*\"exhaust\" + 0.013*\"pain\" + 0.013*\"rosenwald\"\n", + "2019-01-31 00:53:24,413 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"western\" + 0.015*\"black\" + 0.013*\"record\" + 0.011*\"blind\" + 0.009*\"depress\" + 0.008*\"arm\"\n", + "2019-01-31 00:53:24,415 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.032*\"priest\" + 0.022*\"duke\" + 0.021*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.013*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:53:24,416 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:53:24,422 : INFO : topic diff=0.004714, rho=0.030345\n", + "2019-01-31 00:53:24,634 : INFO : PROGRESS: pass 0, at document #2174000/4922894\n", + "2019-01-31 00:53:26,023 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:26,289 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:53:26,290 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.065*\"best\" + 0.031*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:53:26,292 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.047*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.016*\"dutch\" + 0.012*\"acrimoni\" + 0.011*\"surnam\"\n", + "2019-01-31 00:53:26,293 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.020*\"serv\" + 0.020*\"member\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:53:26,294 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:53:26,300 : INFO : topic diff=0.005065, rho=0.030331\n", + "2019-01-31 00:53:26,456 : INFO : PROGRESS: pass 0, at document #2176000/4922894\n", + "2019-01-31 00:53:27,852 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:28,118 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"unionist\" + 0.014*\"militari\" + 0.014*\"oper\" + 0.012*\"airbu\" + 0.012*\"refut\"\n", + "2019-01-31 00:53:28,119 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"dutch\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 00:53:28,120 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.028*\"incumb\" + 0.013*\"islam\" + 0.013*\"televis\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"affection\" + 0.009*\"singh\"\n", + "2019-01-31 00:53:28,122 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:53:28,123 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.070*\"juli\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.067*\"august\" + 0.067*\"judici\" + 0.066*\"april\" + 0.063*\"decatur\"\n", + "2019-01-31 00:53:28,129 : INFO : topic diff=0.004624, rho=0.030317\n", + "2019-01-31 00:53:28,283 : INFO : PROGRESS: pass 0, at document #2178000/4922894\n", + "2019-01-31 00:53:29,652 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:29,919 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.007*\"comic\" + 0.007*\"love\" + 0.007*\"anim\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:53:29,920 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:53:29,922 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:53:29,923 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:53:29,924 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"italian\" + 0.012*\"juan\" + 0.012*\"carlo\" + 0.011*\"santa\" + 0.011*\"lizard\"\n", + "2019-01-31 00:53:29,930 : INFO : topic diff=0.004867, rho=0.030303\n", + "2019-01-31 00:53:32,656 : INFO : -11.674 per-word bound, 3268.0 perplexity estimate based on a held-out corpus of 2000 documents with 584163 words\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:53:32,657 : INFO : PROGRESS: pass 0, at document #2180000/4922894\n", + "2019-01-31 00:53:34,051 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:34,317 : INFO : topic #46 (0.020): 0.017*\"damag\" + 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.016*\"norwai\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"turkish\" + 0.011*\"turkei\" + 0.011*\"farid\"\n", + "2019-01-31 00:53:34,319 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.017*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 00:53:34,320 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:53:34,321 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.014*\"jewish\" + 0.014*\"vol\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:53:34,323 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:53:34,329 : INFO : topic diff=0.004981, rho=0.030289\n", + "2019-01-31 00:53:34,488 : INFO : PROGRESS: pass 0, at document #2182000/4922894\n", + "2019-01-31 00:53:35,888 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:36,155 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.022*\"palmer\" + 0.014*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:53:36,156 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"squatter\" + 0.011*\"fool\" + 0.011*\"champion\"\n", + "2019-01-31 00:53:36,158 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.010*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:53:36,159 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:53:36,160 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"spectacl\" + 0.006*\"develop\"\n", + "2019-01-31 00:53:36,166 : INFO : topic diff=0.004280, rho=0.030275\n", + "2019-01-31 00:53:36,325 : INFO : PROGRESS: pass 0, at document #2184000/4922894\n", + "2019-01-31 00:53:37,742 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:38,008 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:53:38,009 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.077*\"octob\" + 0.069*\"juli\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.068*\"august\" + 0.066*\"judici\" + 0.066*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 00:53:38,010 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.009*\"cathedr\" + 0.009*\"centuri\" + 0.009*\"relationship\" + 0.009*\"poll\"\n", + "2019-01-31 00:53:38,011 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.047*\"franc\" + 0.029*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:53:38,012 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:53:38,018 : INFO : topic diff=0.004740, rho=0.030261\n", + "2019-01-31 00:53:38,179 : INFO : PROGRESS: pass 0, at document #2186000/4922894\n", + "2019-01-31 00:53:39,604 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:39,870 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"damag\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"swedish\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"turkish\" + 0.011*\"turkei\" + 0.011*\"treeless\"\n", + "2019-01-31 00:53:39,871 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 00:53:39,872 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.024*\"london\" + 0.023*\"australian\" + 0.023*\"england\" + 0.020*\"ireland\" + 0.020*\"british\" + 0.015*\"wale\" + 0.015*\"youth\"\n", + "2019-01-31 00:53:39,873 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:53:39,874 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.014*\"soviet\" + 0.012*\"italian\" + 0.012*\"carlo\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\"\n", + "2019-01-31 00:53:39,880 : INFO : topic diff=0.004062, rho=0.030248\n", + "2019-01-31 00:53:40,036 : INFO : PROGRESS: pass 0, at document #2188000/4922894\n", + "2019-01-31 00:53:41,423 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:41,689 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.065*\"best\" + 0.031*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:53:41,690 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"berlin\" + 0.014*\"jewish\" + 0.014*\"vol\" + 0.013*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:53:41,692 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:53:41,693 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"hostil\" + 0.010*\"genu\" + 0.008*\"median\" + 0.008*\"western\"\n", + "2019-01-31 00:53:41,694 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:53:41,699 : INFO : topic diff=0.004906, rho=0.030234\n", + "2019-01-31 00:53:41,859 : INFO : PROGRESS: pass 0, at document #2190000/4922894\n", + "2019-01-31 00:53:43,275 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:43,541 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.014*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:53:43,543 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.035*\"arsen\" + 0.031*\"raid\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.013*\"pain\" + 0.013*\"exhaust\" + 0.013*\"rosenwald\"\n", + "2019-01-31 00:53:43,544 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.077*\"sens\" + 0.077*\"octob\" + 0.070*\"juli\" + 0.070*\"judici\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.068*\"august\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 00:53:43,545 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.031*\"new\" + 0.030*\"american\" + 0.029*\"unionist\" + 0.027*\"cotton\" + 0.020*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:53:43,546 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:53:43,551 : INFO : topic diff=0.004048, rho=0.030220\n", + "2019-01-31 00:53:43,707 : INFO : PROGRESS: pass 0, at document #2192000/4922894\n", + "2019-01-31 00:53:45,099 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:53:45,365 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"order\" + 0.009*\"polaris\" + 0.009*\"legal\"\n", + "2019-01-31 00:53:45,366 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"seaport\" + 0.014*\"republ\" + 0.013*\"liber\" + 0.013*\"bypass\"\n", + "2019-01-31 00:53:45,367 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"affection\" + 0.009*\"sri\"\n", + "2019-01-31 00:53:45,368 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.046*\"american\" + 0.026*\"valour\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.017*\"dutch\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:53:45,369 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.011*\"champion\"\n", + "2019-01-31 00:53:45,375 : INFO : topic diff=0.004663, rho=0.030206\n", + "2019-01-31 00:53:45,530 : INFO : PROGRESS: pass 0, at document #2194000/4922894\n", + "2019-01-31 00:53:46,904 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:47,170 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.010*\"gothic\" + 0.009*\"district\"\n", + "2019-01-31 00:53:47,171 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.022*\"member\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.019*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:53:47,172 : INFO : topic #36 (0.020): 0.012*\"prognosi\" + 0.012*\"pop\" + 0.011*\"network\" + 0.008*\"championship\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"cytokin\" + 0.008*\"brio\" + 0.008*\"softwar\" + 0.008*\"user\"\n", + "2019-01-31 00:53:47,173 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.018*\"damag\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwai\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"turkish\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:53:47,174 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"market\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.007*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:53:47,180 : INFO : topic diff=0.004133, rho=0.030192\n", + "2019-01-31 00:53:47,341 : INFO : PROGRESS: pass 0, at document #2196000/4922894\n", + "2019-01-31 00:53:48,739 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:49,005 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:53:49,006 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.031*\"new\" + 0.030*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:53:49,007 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:53:49,008 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:53:49,009 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:53:49,015 : INFO : topic diff=0.004337, rho=0.030179\n", + "2019-01-31 00:53:49,174 : INFO : PROGRESS: pass 0, at document #2198000/4922894\n", + "2019-01-31 00:53:50,699 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:50,965 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.041*\"line\" + 0.035*\"arsen\" + 0.032*\"raid\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.013*\"exhaust\" + 0.013*\"pain\" + 0.013*\"rosenwald\"\n", + "2019-01-31 00:53:50,966 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.018*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"hostil\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:53:50,967 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.080*\"march\" + 0.078*\"octob\" + 0.069*\"januari\" + 0.069*\"juli\" + 0.069*\"judici\" + 0.067*\"notion\" + 0.067*\"august\" + 0.066*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 00:53:50,968 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.033*\"priest\" + 0.022*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 00:53:50,970 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"class\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:53:50,976 : INFO : topic diff=0.004598, rho=0.030165\n", + "2019-01-31 00:53:53,754 : INFO : -11.540 per-word bound, 2978.0 perplexity estimate based on a held-out corpus of 2000 documents with 588492 words\n", + "2019-01-31 00:53:53,755 : INFO : PROGRESS: pass 0, at document #2200000/4922894\n", + "2019-01-31 00:53:55,174 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:55,440 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.064*\"best\" + 0.031*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:53:55,441 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"damag\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.012*\"treeless\" + 0.012*\"huntsvil\" + 0.012*\"turkish\"\n", + "2019-01-31 00:53:55,442 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.034*\"arsen\" + 0.032*\"raid\" + 0.026*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.013*\"exhaust\" + 0.013*\"pain\" + 0.013*\"rosenwald\"\n", + "2019-01-31 00:53:55,444 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:53:55,445 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.016*\"martin\" + 0.016*\"chamber\" + 0.015*\"tiepolo\" + 0.015*\"taxpay\" + 0.013*\"women\"\n", + "2019-01-31 00:53:55,451 : INFO : topic diff=0.005532, rho=0.030151\n", + "2019-01-31 00:53:55,608 : INFO : PROGRESS: pass 0, at document #2202000/4922894\n", + "2019-01-31 00:53:56,996 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:53:57,262 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 00:53:57,263 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.017*\"damn\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.012*\"jack\"\n", + "2019-01-31 00:53:57,264 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.033*\"priest\" + 0.022*\"duke\" + 0.020*\"rotterdam\" + 0.020*\"grammat\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.014*\"portugues\" + 0.014*\"count\"\n", + "2019-01-31 00:53:57,265 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.013*\"televis\" + 0.013*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"affection\" + 0.010*\"khalsa\" + 0.009*\"sri\"\n", + "2019-01-31 00:53:57,266 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.025*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"order\" + 0.009*\"polaris\" + 0.009*\"legal\"\n", + "2019-01-31 00:53:57,272 : INFO : topic diff=0.003702, rho=0.030137\n", + "2019-01-31 00:53:57,429 : INFO : PROGRESS: pass 0, at document #2204000/4922894\n", + "2019-01-31 00:53:58,817 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:53:59,083 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:53:59,084 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.016*\"chamber\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.015*\"tiepolo\" + 0.013*\"women\"\n", + "2019-01-31 00:53:59,086 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:53:59,087 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.023*\"minist\" + 0.022*\"member\" + 0.022*\"nation\" + 0.022*\"govern\" + 0.018*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:53:59,088 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.014*\"briarwood\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:53:59,093 : INFO : topic diff=0.005275, rho=0.030124\n", + "2019-01-31 00:53:59,306 : INFO : PROGRESS: pass 0, at document #2206000/4922894\n", + "2019-01-31 00:54:00,710 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:00,975 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 00:54:00,976 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.006*\"have\" + 0.006*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:54:00,977 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:54:00,978 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.064*\"best\" + 0.032*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 00:54:00,980 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:54:00,985 : INFO : topic diff=0.004937, rho=0.030110\n", + "2019-01-31 00:54:01,145 : INFO : PROGRESS: pass 0, at document #2208000/4922894\n", + "2019-01-31 00:54:02,568 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:02,834 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.045*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.013*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:54:02,835 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:54:02,836 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.045*\"american\" + 0.026*\"valour\" + 0.019*\"folei\" + 0.018*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:54:02,837 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.007*\"comic\" + 0.007*\"anim\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"workplac\" + 0.005*\"vision\"\n", + "2019-01-31 00:54:02,838 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.015*\"wale\" + 0.015*\"youth\"\n", + "2019-01-31 00:54:02,844 : INFO : topic diff=0.004893, rho=0.030096\n", + "2019-01-31 00:54:02,997 : INFO : PROGRESS: pass 0, at document #2210000/4922894\n", + "2019-01-31 00:54:04,369 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:04,636 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.007*\"southern\" + 0.006*\"servitud\" + 0.006*\"gener\" + 0.006*\"utopian\" + 0.006*\"poet\" + 0.006*\"measur\"\n", + "2019-01-31 00:54:04,637 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"hostil\" + 0.009*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:54:04,638 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.048*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.033*\"cotton\" + 0.026*\"area\" + 0.022*\"multitud\" + 0.022*\"regim\" + 0.020*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:54:04,639 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.011*\"champion\"\n", + "2019-01-31 00:54:04,640 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:54:04,647 : INFO : topic diff=0.004713, rho=0.030083\n", + "2019-01-31 00:54:04,803 : INFO : PROGRESS: pass 0, at document #2212000/4922894\n", + "2019-01-31 00:54:06,190 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:06,459 : INFO : topic #39 (0.020): 0.055*\"canada\" + 0.042*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"quebec\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.013*\"hydrogen\" + 0.012*\"novotná\"\n", + "2019-01-31 00:54:06,460 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:54:06,461 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.021*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:54:06,463 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:54:06,464 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.081*\"march\" + 0.078*\"octob\" + 0.070*\"juli\" + 0.070*\"januari\" + 0.069*\"judici\" + 0.068*\"august\" + 0.068*\"april\" + 0.068*\"notion\" + 0.065*\"decatur\"\n", + "2019-01-31 00:54:06,469 : INFO : topic diff=0.003931, rho=0.030069\n", + "2019-01-31 00:54:06,628 : INFO : PROGRESS: pass 0, at document #2214000/4922894\n", + "2019-01-31 00:54:08,018 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:08,285 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.015*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.011*\"champion\"\n", + "2019-01-31 00:54:08,286 : INFO : topic #37 (0.020): 0.010*\"man\" + 0.010*\"charact\" + 0.009*\"septemb\" + 0.008*\"anim\" + 0.007*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:54:08,287 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.032*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:54:08,288 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.019*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"hostil\" + 0.009*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:54:08,289 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.013*\"italian\" + 0.013*\"santa\" + 0.011*\"carlo\" + 0.011*\"lizard\" + 0.011*\"juan\"\n", + "2019-01-31 00:54:08,295 : INFO : topic diff=0.004119, rho=0.030056\n", + "2019-01-31 00:54:08,449 : INFO : PROGRESS: pass 0, at document #2216000/4922894\n", + "2019-01-31 00:54:09,827 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:10,093 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.041*\"struggl\" + 0.032*\"high\" + 0.031*\"educ\" + 0.025*\"collector\" + 0.019*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:54:10,094 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.027*\"champion\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.023*\"alic\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:54:10,095 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"prognosi\" + 0.011*\"network\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"brio\" + 0.008*\"championship\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"cytokin\"\n", + "2019-01-31 00:54:10,096 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.017*\"martin\" + 0.016*\"tiepolo\" + 0.016*\"chamber\" + 0.015*\"taxpay\" + 0.013*\"women\"\n", + "2019-01-31 00:54:10,097 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 00:54:10,103 : INFO : topic diff=0.004368, rho=0.030042\n", + "2019-01-31 00:54:10,256 : INFO : PROGRESS: pass 0, at document #2218000/4922894\n", + "2019-01-31 00:54:11,616 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:11,882 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:54:11,883 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.047*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.033*\"cotton\" + 0.026*\"area\" + 0.021*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:54:11,885 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:54:11,886 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:54:11,887 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"new\" + 0.021*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:54:11,892 : INFO : topic diff=0.004403, rho=0.030029\n", + "2019-01-31 00:54:14,610 : INFO : -11.630 per-word bound, 3169.8 perplexity estimate based on a held-out corpus of 2000 documents with 531243 words\n", + "2019-01-31 00:54:14,610 : INFO : PROGRESS: pass 0, at document #2220000/4922894\n", + "2019-01-31 00:54:16,023 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:16,289 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:54:16,290 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.042*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.019*\"ontario\" + 0.016*\"misericordia\" + 0.015*\"quebec\" + 0.015*\"new\" + 0.014*\"hydrogen\" + 0.012*\"novotná\"\n", + "2019-01-31 00:54:16,291 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 00:54:16,292 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.022*\"alic\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:54:16,293 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:54:16,299 : INFO : topic diff=0.003956, rho=0.030015\n", + "2019-01-31 00:54:16,462 : INFO : PROGRESS: pass 0, at document #2222000/4922894\n", + "2019-01-31 00:54:17,905 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:18,172 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.014*\"briarwood\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.010*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:54:18,173 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.022*\"tourist\" + 0.020*\"champion\" + 0.016*\"martin\" + 0.016*\"tiepolo\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 00:54:18,174 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.038*\"tortur\" + 0.034*\"cotton\" + 0.026*\"area\" + 0.022*\"multitud\" + 0.021*\"regim\" + 0.021*\"citi\" + 0.020*\"cede\"\n", + "2019-01-31 00:54:18,175 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"pour\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 00:54:18,176 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.065*\"best\" + 0.032*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.017*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:54:18,181 : INFO : topic diff=0.005332, rho=0.030002\n", + "2019-01-31 00:54:18,342 : INFO : PROGRESS: pass 0, at document #2224000/4922894\n", + "2019-01-31 00:54:19,750 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:20,020 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.025*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:54:20,021 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.033*\"priest\" + 0.021*\"duke\" + 0.019*\"grammat\" + 0.019*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.015*\"kingdom\" + 0.014*\"portugues\" + 0.014*\"count\"\n", + "2019-01-31 00:54:20,022 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:54:20,023 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.007*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"poet\" + 0.006*\"utopian\"\n", + "2019-01-31 00:54:20,024 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.012*\"poll\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"centuri\"\n", + "2019-01-31 00:54:20,030 : INFO : topic diff=0.005297, rho=0.029988\n", + "2019-01-31 00:54:20,192 : INFO : PROGRESS: pass 0, at document #2226000/4922894\n", + "2019-01-31 00:54:21,597 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:21,863 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"woman\" + 0.006*\"human\"\n", + "2019-01-31 00:54:21,864 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.016*\"ret\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"find\" + 0.012*\"squatter\" + 0.011*\"fool\" + 0.011*\"champion\"\n", + "2019-01-31 00:54:21,865 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"pour\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 00:54:21,866 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.022*\"tourist\" + 0.020*\"champion\" + 0.016*\"martin\" + 0.016*\"chamber\" + 0.016*\"tiepolo\" + 0.015*\"taxpay\" + 0.013*\"women\"\n", + "2019-01-31 00:54:21,867 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.022*\"member\" + 0.022*\"govern\" + 0.022*\"nation\" + 0.019*\"serv\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:54:21,873 : INFO : topic diff=0.005691, rho=0.029975\n", + "2019-01-31 00:54:22,029 : INFO : PROGRESS: pass 0, at document #2228000/4922894\n", + "2019-01-31 00:54:23,417 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:23,683 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"refut\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:54:23,684 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.045*\"american\" + 0.026*\"valour\" + 0.019*\"folei\" + 0.018*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:54:23,685 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.008*\"anim\" + 0.007*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:54:23,686 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:54:23,687 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.020*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:54:23,693 : INFO : topic diff=0.004230, rho=0.029961\n", + "2019-01-31 00:54:23,850 : INFO : PROGRESS: pass 0, at document #2230000/4922894\n", + "2019-01-31 00:54:25,234 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:25,500 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.010*\"develop\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.006*\"human\"\n", + "2019-01-31 00:54:25,501 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"refut\" + 0.011*\"airbu\"\n", + "2019-01-31 00:54:25,502 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.034*\"priest\" + 0.023*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.014*\"count\" + 0.014*\"portugues\"\n", + "2019-01-31 00:54:25,503 : INFO : topic #46 (0.020): 0.019*\"stop\" + 0.016*\"damag\" + 0.016*\"norwai\" + 0.015*\"sweden\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.013*\"treeless\" + 0.012*\"turkish\" + 0.012*\"denmark\"\n", + "2019-01-31 00:54:25,504 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.017*\"warmth\" + 0.014*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"lobe\" + 0.008*\"land\"\n", + "2019-01-31 00:54:25,510 : INFO : topic diff=0.004679, rho=0.029948\n", + "2019-01-31 00:54:25,669 : INFO : PROGRESS: pass 0, at document #2232000/4922894\n", + "2019-01-31 00:54:27,079 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:27,345 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.019*\"adulthood\" + 0.014*\"feel\" + 0.013*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"hostil\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:54:27,346 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"refut\" + 0.011*\"airbu\"\n", + "2019-01-31 00:54:27,347 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.015*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"squatter\" + 0.011*\"fool\" + 0.011*\"champion\"\n", + "2019-01-31 00:54:27,348 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:54:27,349 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.022*\"member\" + 0.022*\"nation\" + 0.022*\"govern\" + 0.019*\"serv\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:54:27,355 : INFO : topic diff=0.004707, rho=0.029934\n", + "2019-01-31 00:54:27,516 : INFO : PROGRESS: pass 0, at document #2234000/4922894\n", + "2019-01-31 00:54:28,908 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:29,177 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.013*\"italian\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 00:54:29,178 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"refut\" + 0.011*\"airbu\"\n", + "2019-01-31 00:54:29,179 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:54:29,180 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.032*\"germani\" + 0.015*\"berlin\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.012*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:54:29,181 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:54:29,187 : INFO : topic diff=0.005543, rho=0.029921\n", + "2019-01-31 00:54:29,345 : INFO : PROGRESS: pass 0, at document #2236000/4922894\n", + "2019-01-31 00:54:30,744 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:31,010 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.028*\"champion\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:54:31,012 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.010*\"reconstruct\"\n", + "2019-01-31 00:54:31,012 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.035*\"priest\" + 0.023*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.014*\"count\" + 0.014*\"portugues\"\n", + "2019-01-31 00:54:31,014 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:54:31,015 : INFO : topic #34 (0.020): 0.071*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:54:31,020 : INFO : topic diff=0.004682, rho=0.029907\n", + "2019-01-31 00:54:31,173 : INFO : PROGRESS: pass 0, at document #2238000/4922894\n", + "2019-01-31 00:54:32,603 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:32,871 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.020*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:54:32,872 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.013*\"italian\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"josé\"\n", + "2019-01-31 00:54:32,873 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.011*\"market\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:54:32,874 : INFO : topic #34 (0.020): 0.070*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:54:32,875 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.052*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"report\" + 0.014*\"seaport\" + 0.013*\"liber\"\n", + "2019-01-31 00:54:32,882 : INFO : topic diff=0.005081, rho=0.029894\n", + "2019-01-31 00:54:35,627 : INFO : -11.822 per-word bound, 3619.9 perplexity estimate based on a held-out corpus of 2000 documents with 544971 words\n", + "2019-01-31 00:54:35,628 : INFO : PROGRESS: pass 0, at document #2240000/4922894\n", + "2019-01-31 00:54:37,007 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:37,273 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"briarwood\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:54:37,274 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.046*\"american\" + 0.025*\"valour\" + 0.019*\"player\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:54:37,275 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:54:37,276 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.023*\"cortic\" + 0.018*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"order\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\"\n", + "2019-01-31 00:54:37,277 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.011*\"market\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:54:37,283 : INFO : topic diff=0.004726, rho=0.029881\n", + "2019-01-31 00:54:37,439 : INFO : PROGRESS: pass 0, at document #2242000/4922894\n", + "2019-01-31 00:54:38,818 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:39,084 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n", + "2019-01-31 00:54:39,085 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.047*\"american\" + 0.025*\"valour\" + 0.019*\"player\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.018*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:54:39,087 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.015*\"berlin\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:54:39,088 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.035*\"priest\" + 0.022*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:54:39,089 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 00:54:39,095 : INFO : topic diff=0.004676, rho=0.029867\n", + "2019-01-31 00:54:39,249 : INFO : PROGRESS: pass 0, at document #2244000/4922894\n", + "2019-01-31 00:54:40,619 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:40,885 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"ret\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"squatter\" + 0.011*\"find\" + 0.011*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:54:40,887 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.036*\"priest\" + 0.022*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:54:40,888 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.034*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:54:40,889 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.008*\"vernon\"\n", + "2019-01-31 00:54:40,890 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n", + "2019-01-31 00:54:40,896 : INFO : topic diff=0.004133, rho=0.029854\n", + "2019-01-31 00:54:41,051 : INFO : PROGRESS: pass 0, at document #2246000/4922894\n", + "2019-01-31 00:54:42,424 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:42,691 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 00:54:42,692 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.011*\"poll\" + 0.010*\"cathedr\" + 0.010*\"relationship\" + 0.010*\"centuri\"\n", + "2019-01-31 00:54:42,693 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.034*\"cotton\" + 0.026*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.021*\"regim\" + 0.020*\"cede\"\n", + "2019-01-31 00:54:42,694 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.013*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:54:42,695 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.034*\"raid\" + 0.033*\"arsen\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.013*\"rosenwald\" + 0.013*\"exhaust\" + 0.013*\"pain\"\n", + "2019-01-31 00:54:42,701 : INFO : topic diff=0.004573, rho=0.029841\n", + "2019-01-31 00:54:42,855 : INFO : PROGRESS: pass 0, at document #2248000/4922894\n", + "2019-01-31 00:54:44,222 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:44,488 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.034*\"arsen\" + 0.034*\"raid\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.013*\"rosenwald\" + 0.013*\"exhaust\" + 0.013*\"pain\"\n", + "2019-01-31 00:54:44,489 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:54:44,490 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.017*\"alexand\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:54:44,491 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 00:54:44,492 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.052*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"conserv\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.013*\"labour\"\n", + "2019-01-31 00:54:44,498 : INFO : topic diff=0.004308, rho=0.029827\n", + "2019-01-31 00:54:44,649 : INFO : PROGRESS: pass 0, at document #2250000/4922894\n", + "2019-01-31 00:54:46,002 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:46,268 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.052*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"conserv\" + 0.014*\"liber\" + 0.014*\"republ\" + 0.013*\"seaport\"\n", + "2019-01-31 00:54:46,269 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.022*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:54:46,270 : INFO : topic #33 (0.020): 0.065*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 00:54:46,272 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:54:46,273 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.080*\"march\" + 0.079*\"octob\" + 0.071*\"januari\" + 0.070*\"juli\" + 0.068*\"judici\" + 0.068*\"notion\" + 0.067*\"april\" + 0.067*\"august\" + 0.065*\"decatur\"\n", + "2019-01-31 00:54:46,279 : INFO : topic diff=0.004911, rho=0.029814\n", + "2019-01-31 00:54:46,434 : INFO : PROGRESS: pass 0, at document #2252000/4922894\n", + "2019-01-31 00:54:47,810 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:48,077 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:54:48,078 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.025*\"epiru\" + 0.023*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:54:48,079 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"order\" + 0.009*\"legal\"\n", + "2019-01-31 00:54:48,080 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.065*\"best\" + 0.032*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.015*\"winner\"\n", + "2019-01-31 00:54:48,081 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.080*\"march\" + 0.079*\"octob\" + 0.071*\"januari\" + 0.070*\"juli\" + 0.068*\"judici\" + 0.068*\"notion\" + 0.067*\"april\" + 0.067*\"august\" + 0.066*\"decatur\"\n", + "2019-01-31 00:54:48,087 : INFO : topic diff=0.005261, rho=0.029801\n", + "2019-01-31 00:54:48,242 : INFO : PROGRESS: pass 0, at document #2254000/4922894\n", + "2019-01-31 00:54:49,607 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:49,873 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.022*\"factor\" + 0.018*\"adulthood\" + 0.014*\"feel\" + 0.012*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"hostil\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:54:49,874 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.066*\"best\" + 0.032*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.015*\"winner\"\n", + "2019-01-31 00:54:49,875 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"ret\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 00:54:49,876 : INFO : topic #1 (0.020): 0.059*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.020*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.012*\"shirin\" + 0.012*\"ashvil\"\n", + "2019-01-31 00:54:49,877 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.028*\"workplac\" + 0.027*\"champion\" + 0.027*\"men\" + 0.025*\"olymp\" + 0.023*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:54:49,883 : INFO : topic diff=0.004541, rho=0.029788\n", + "2019-01-31 00:54:50,044 : INFO : PROGRESS: pass 0, at document #2256000/4922894\n", + "2019-01-31 00:54:51,446 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:51,713 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"utopian\" + 0.006*\"gener\" + 0.006*\"poet\"\n", + "2019-01-31 00:54:51,714 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"vernon\"\n", + "2019-01-31 00:54:51,715 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.034*\"priest\" + 0.021*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.014*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 00:54:51,716 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:54:51,717 : INFO : topic #29 (0.020): 0.028*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"bank\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:54:51,723 : INFO : topic diff=0.005600, rho=0.029775\n", + "2019-01-31 00:54:51,880 : INFO : PROGRESS: pass 0, at document #2258000/4922894\n", + "2019-01-31 00:54:53,252 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:53,519 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.023*\"minist\" + 0.022*\"serv\" + 0.022*\"member\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:54:53,520 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 00:54:53,521 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"cultur\"\n", + "2019-01-31 00:54:53,522 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.052*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"liber\" + 0.014*\"conserv\" + 0.014*\"republ\" + 0.013*\"seaport\"\n", + "2019-01-31 00:54:53,523 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.013*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:54:53,529 : INFO : topic diff=0.004321, rho=0.029761\n", + "2019-01-31 00:54:56,215 : INFO : -11.817 per-word bound, 3609.1 perplexity estimate based on a held-out corpus of 2000 documents with 550496 words\n", + "2019-01-31 00:54:56,215 : INFO : PROGRESS: pass 0, at document #2260000/4922894\n", + "2019-01-31 00:54:57,600 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:57,866 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.016*\"chamber\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 00:54:57,867 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:54:57,868 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"lobe\" + 0.008*\"foam\" + 0.008*\"land\"\n", + "2019-01-31 00:54:57,869 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:54:57,870 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.034*\"cotton\" + 0.026*\"area\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.021*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:54:57,876 : INFO : topic diff=0.004881, rho=0.029748\n", + "2019-01-31 00:54:58,032 : INFO : PROGRESS: pass 0, at document #2262000/4922894\n", + "2019-01-31 00:54:59,412 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:54:59,678 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.027*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.008*\"depress\" + 0.008*\"arm\"\n", + "2019-01-31 00:54:59,679 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.016*\"chamber\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 00:54:59,680 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 00:54:59,681 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:54:59,683 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:54:59,688 : INFO : topic diff=0.004998, rho=0.029735\n", + "2019-01-31 00:54:59,843 : INFO : PROGRESS: pass 0, at document #2264000/4922894\n", + "2019-01-31 00:55:01,195 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:01,462 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.011*\"storag\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:55:01,463 : INFO : topic #36 (0.020): 0.012*\"pop\" + 0.011*\"network\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"brio\" + 0.008*\"diggin\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.007*\"championship\"\n", + "2019-01-31 00:55:01,464 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.013*\"italian\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:55:01,465 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.016*\"chamber\" + 0.016*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.012*\"women\"\n", + "2019-01-31 00:55:01,466 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:55:01,472 : INFO : topic diff=0.004950, rho=0.029722\n", + "2019-01-31 00:55:01,627 : INFO : PROGRESS: pass 0, at document #2266000/4922894\n", + "2019-01-31 00:55:03,004 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:03,270 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.014*\"seaport\" + 0.013*\"bypass\"\n", + "2019-01-31 00:55:03,271 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"foam\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 00:55:03,272 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"order\" + 0.009*\"legal\"\n", + "2019-01-31 00:55:03,273 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.027*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.016*\"alexand\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:55:03,274 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.028*\"workplac\" + 0.026*\"champion\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.022*\"alic\" + 0.021*\"event\" + 0.021*\"medal\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:55:03,280 : INFO : topic diff=0.004497, rho=0.029709\n", + "2019-01-31 00:55:03,431 : INFO : PROGRESS: pass 0, at document #2268000/4922894\n", + "2019-01-31 00:55:04,780 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:05,047 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"new\" + 0.023*\"palmer\" + 0.013*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.010*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:55:05,048 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.013*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 00:55:05,049 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"measur\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"poet\"\n", + "2019-01-31 00:55:05,050 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.022*\"factor\" + 0.018*\"adulthood\" + 0.015*\"feel\" + 0.013*\"male\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.009*\"hostil\" + 0.008*\"live\" + 0.008*\"western\"\n", + "2019-01-31 00:55:05,051 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"order\"\n", + "2019-01-31 00:55:05,057 : INFO : topic diff=0.004598, rho=0.029696\n", + "2019-01-31 00:55:05,271 : INFO : PROGRESS: pass 0, at document #2270000/4922894\n", + "2019-01-31 00:55:06,671 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:06,938 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.007*\"anim\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:55:06,939 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:55:06,940 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.080*\"march\" + 0.080*\"octob\" + 0.072*\"januari\" + 0.069*\"notion\" + 0.069*\"juli\" + 0.067*\"april\" + 0.067*\"judici\" + 0.066*\"decatur\" + 0.066*\"august\"\n", + "2019-01-31 00:55:06,941 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.034*\"priest\" + 0.021*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.014*\"count\" + 0.014*\"kingdom\" + 0.013*\"maria\"\n", + "2019-01-31 00:55:06,942 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"taxpay\" + 0.019*\"candid\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:55:06,949 : INFO : topic diff=0.004482, rho=0.029683\n", + "2019-01-31 00:55:07,107 : INFO : PROGRESS: pass 0, at document #2272000/4922894\n", + "2019-01-31 00:55:08,506 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:08,773 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:55:08,774 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.010*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 00:55:08,775 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"line\" + 0.034*\"raid\" + 0.033*\"arsen\" + 0.027*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.013*\"rosenwald\" + 0.013*\"exhaust\" + 0.012*\"pain\"\n", + "2019-01-31 00:55:08,776 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 00:55:08,777 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.027*\"workplac\" + 0.026*\"champion\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.022*\"alic\" + 0.021*\"medal\" + 0.021*\"event\" + 0.020*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:55:08,783 : INFO : topic diff=0.005570, rho=0.029670\n", + "2019-01-31 00:55:08,942 : INFO : PROGRESS: pass 0, at document #2274000/4922894\n", + "2019-01-31 00:55:10,338 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:10,605 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"measur\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"poet\"\n", + "2019-01-31 00:55:10,606 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.022*\"member\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.021*\"serv\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:55:10,607 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:55:10,608 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.011*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.009*\"order\"\n", + "2019-01-31 00:55:10,609 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.014*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:55:10,615 : INFO : topic diff=0.004688, rho=0.029656\n", + "2019-01-31 00:55:10,773 : INFO : PROGRESS: pass 0, at document #2276000/4922894\n", + "2019-01-31 00:55:12,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:12,410 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.022*\"member\" + 0.022*\"nation\" + 0.021*\"govern\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:55:12,411 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 00:55:12,412 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"armi\" + 0.021*\"aggress\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:55:12,413 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:55:12,414 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:55:12,420 : INFO : topic diff=0.005100, rho=0.029643\n", + "2019-01-31 00:55:12,579 : INFO : PROGRESS: pass 0, at document #2278000/4922894\n", + "2019-01-31 00:55:13,974 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:14,240 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.018*\"stop\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.013*\"farid\" + 0.012*\"treeless\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:55:14,241 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.007*\"love\" + 0.007*\"anim\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:55:14,243 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.014*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:55:14,244 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.011*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:55:14,245 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:55:14,251 : INFO : topic diff=0.004832, rho=0.029630\n", + "2019-01-31 00:55:16,914 : INFO : -11.637 per-word bound, 3185.9 perplexity estimate based on a held-out corpus of 2000 documents with 541085 words\n", + "2019-01-31 00:55:16,915 : INFO : PROGRESS: pass 0, at document #2280000/4922894\n", + "2019-01-31 00:55:18,287 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:18,553 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:55:18,554 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"vernon\"\n", + "2019-01-31 00:55:18,555 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.012*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:55:18,557 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.017*\"alexand\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:55:18,558 : INFO : topic #36 (0.020): 0.012*\"pop\" + 0.011*\"network\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"brio\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.007*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 00:55:18,564 : INFO : topic diff=0.004752, rho=0.029617\n", + "2019-01-31 00:55:18,725 : INFO : PROGRESS: pass 0, at document #2282000/4922894\n", + "2019-01-31 00:55:20,138 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:20,404 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"london\" + 0.022*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"weekli\"\n", + "2019-01-31 00:55:20,405 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 00:55:20,406 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"landslid\" + 0.010*\"squatter\"\n", + "2019-01-31 00:55:20,407 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.012*\"anglo\" + 0.011*\"tajikistan\" + 0.010*\"affection\" + 0.009*\"khalsa\" + 0.009*\"alam\"\n", + "2019-01-31 00:55:20,408 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"militari\" + 0.006*\"till\" + 0.006*\"pour\"\n", + "2019-01-31 00:55:20,414 : INFO : topic diff=0.004398, rho=0.029604\n", + "2019-01-31 00:55:20,575 : INFO : PROGRESS: pass 0, at document #2284000/4922894\n", + "2019-01-31 00:55:21,957 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:22,224 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:55:22,225 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 00:55:22,226 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"london\" + 0.022*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"weekli\"\n", + "2019-01-31 00:55:22,227 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.011*\"tajikistan\" + 0.010*\"affection\" + 0.009*\"sri\" + 0.009*\"khalsa\"\n", + "2019-01-31 00:55:22,228 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:55:22,234 : INFO : topic diff=0.004101, rho=0.029591\n", + "2019-01-31 00:55:22,392 : INFO : PROGRESS: pass 0, at document #2286000/4922894\n", + "2019-01-31 00:55:23,792 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:24,059 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.027*\"fifteenth\" + 0.017*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"arm\" + 0.009*\"depress\"\n", + "2019-01-31 00:55:24,060 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.009*\"fleet\" + 0.009*\"vernon\"\n", + "2019-01-31 00:55:24,061 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"poison\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.017*\"alexand\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:55:24,062 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.041*\"struggl\" + 0.034*\"high\" + 0.031*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 00:55:24,063 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"lobe\" + 0.008*\"land\"\n", + "2019-01-31 00:55:24,069 : INFO : topic diff=0.004848, rho=0.029579\n", + "2019-01-31 00:55:24,224 : INFO : PROGRESS: pass 0, at document #2288000/4922894\n", + "2019-01-31 00:55:25,591 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:25,857 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"liber\" + 0.014*\"republ\" + 0.014*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 00:55:25,859 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.019*\"year\" + 0.014*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:55:25,860 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:55:25,861 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:55:25,862 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:55:25,869 : INFO : topic diff=0.004312, rho=0.029566\n", + "2019-01-31 00:55:26,023 : INFO : PROGRESS: pass 0, at document #2290000/4922894\n", + "2019-01-31 00:55:27,407 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:27,674 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.025*\"hous\" + 0.022*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:55:27,675 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.014*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:55:27,676 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:55:27,677 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.023*\"sail\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.011*\"wreath\"\n", + "2019-01-31 00:55:27,679 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:55:27,684 : INFO : topic diff=0.004632, rho=0.029553\n", + "2019-01-31 00:55:27,836 : INFO : PROGRESS: pass 0, at document #2292000/4922894\n", + "2019-01-31 00:55:29,187 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:29,453 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"jack\" + 0.011*\"word\"\n", + "2019-01-31 00:55:29,454 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:55:29,455 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:55:29,456 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.027*\"workplac\" + 0.026*\"champion\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.022*\"alic\" + 0.021*\"event\" + 0.020*\"medal\" + 0.019*\"rainfal\" + 0.019*\"atheist\"\n", + "2019-01-31 00:55:29,457 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 00:55:29,463 : INFO : topic diff=0.004792, rho=0.029540\n", + "2019-01-31 00:55:29,621 : INFO : PROGRESS: pass 0, at document #2294000/4922894\n", + "2019-01-31 00:55:30,982 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:31,252 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"pour\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 00:55:31,253 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:55:31,254 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"vigour\" + 0.044*\"popolo\" + 0.040*\"tortur\" + 0.035*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.020*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:55:31,255 : INFO : topic #45 (0.020): 0.028*\"fifteenth\" + 0.027*\"jpg\" + 0.019*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"arm\" + 0.009*\"depress\"\n", + "2019-01-31 00:55:31,256 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.032*\"arsen\" + 0.026*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.013*\"rosenwald\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:55:31,262 : INFO : topic diff=0.004291, rho=0.029527\n", + "2019-01-31 00:55:31,418 : INFO : PROGRESS: pass 0, at document #2296000/4922894\n", + "2019-01-31 00:55:32,818 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:33,084 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"busi\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:55:33,086 : INFO : topic #45 (0.020): 0.027*\"fifteenth\" + 0.027*\"jpg\" + 0.019*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.008*\"arm\"\n", + "2019-01-31 00:55:33,087 : INFO : topic #39 (0.020): 0.055*\"canada\" + 0.043*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.018*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 00:55:33,088 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"new\" + 0.023*\"palmer\" + 0.013*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:55:33,089 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.023*\"sail\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wreath\"\n", + "2019-01-31 00:55:33,095 : INFO : topic diff=0.004131, rho=0.029514\n", + "2019-01-31 00:55:33,252 : INFO : PROGRESS: pass 0, at document #2298000/4922894\n", + "2019-01-31 00:55:34,647 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:34,913 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:55:34,914 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:55:34,915 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"jack\" + 0.011*\"word\"\n", + "2019-01-31 00:55:34,916 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.025*\"australia\" + 0.025*\"sourc\" + 0.025*\"england\" + 0.024*\"london\" + 0.021*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:55:34,918 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.015*\"farid\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.012*\"financ\" + 0.011*\"denmark\"\n", + "2019-01-31 00:55:34,924 : INFO : topic diff=0.005038, rho=0.029501\n", + "2019-01-31 00:55:37,592 : INFO : -11.743 per-word bound, 3428.2 perplexity estimate based on a held-out corpus of 2000 documents with 530380 words\n", + "2019-01-31 00:55:37,593 : INFO : PROGRESS: pass 0, at document #2300000/4922894\n", + "2019-01-31 00:55:38,972 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:39,239 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"storag\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:55:39,239 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wreath\"\n", + "2019-01-31 00:55:39,241 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"liber\" + 0.014*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 00:55:39,241 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:55:39,242 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:55:39,248 : INFO : topic diff=0.004683, rho=0.029488\n", + "2019-01-31 00:55:39,461 : INFO : PROGRESS: pass 0, at document #2302000/4922894\n", + "2019-01-31 00:55:40,866 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:41,133 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 00:55:41,134 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.015*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.010*\"fool\" + 0.010*\"landslid\" + 0.010*\"théori\"\n", + "2019-01-31 00:55:41,135 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"storag\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:55:41,136 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.024*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:55:41,137 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:55:41,142 : INFO : topic diff=0.004773, rho=0.029476\n", + "2019-01-31 00:55:41,299 : INFO : PROGRESS: pass 0, at document #2304000/4922894\n", + "2019-01-31 00:55:42,695 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:42,961 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 00:55:42,962 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.016*\"jewish\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:55:42,963 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:55:42,964 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.043*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 00:55:42,965 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:55:42,971 : INFO : topic diff=0.005092, rho=0.029463\n", + "2019-01-31 00:55:43,131 : INFO : PROGRESS: pass 0, at document #2306000/4922894\n", + "2019-01-31 00:55:44,506 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:44,776 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.024*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:55:44,777 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.035*\"sovereignti\" + 0.031*\"rural\" + 0.028*\"poison\" + 0.024*\"personifi\" + 0.022*\"reprint\" + 0.018*\"poland\" + 0.018*\"moscow\" + 0.016*\"alexand\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:55:44,778 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.025*\"australia\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.024*\"london\" + 0.021*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:55:44,779 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.006*\"cancer\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 00:55:44,780 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.013*\"italian\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n", + "2019-01-31 00:55:44,786 : INFO : topic diff=0.004721, rho=0.029450\n", + "2019-01-31 00:55:44,946 : INFO : PROGRESS: pass 0, at document #2308000/4922894\n", + "2019-01-31 00:55:46,344 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:46,610 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:55:46,611 : INFO : topic #39 (0.020): 0.055*\"canada\" + 0.044*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 00:55:46,613 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 00:55:46,614 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.022*\"member\" + 0.021*\"serv\" + 0.021*\"govern\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:55:46,615 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"diversifi\"\n", + "2019-01-31 00:55:46,620 : INFO : topic diff=0.004912, rho=0.029437\n", + "2019-01-31 00:55:46,773 : INFO : PROGRESS: pass 0, at document #2310000/4922894\n", + "2019-01-31 00:55:48,113 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:48,379 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.035*\"sovereignti\" + 0.031*\"rural\" + 0.028*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.019*\"poland\" + 0.018*\"moscow\" + 0.016*\"alexand\" + 0.014*\"czech\"\n", + "2019-01-31 00:55:48,380 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:55:48,381 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.022*\"member\" + 0.021*\"govern\" + 0.021*\"serv\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:55:48,382 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:55:48,383 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 00:55:48,389 : INFO : topic diff=0.004327, rho=0.029424\n", + "2019-01-31 00:55:48,543 : INFO : PROGRESS: pass 0, at document #2312000/4922894\n", + "2019-01-31 00:55:49,903 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:50,169 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:55:50,170 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.006*\"effect\" + 0.006*\"cancer\" + 0.006*\"proper\"\n", + "2019-01-31 00:55:50,172 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.024*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"storag\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:55:50,173 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.027*\"workplac\" + 0.027*\"men\" + 0.025*\"champion\" + 0.024*\"olymp\" + 0.022*\"event\" + 0.021*\"rainfal\" + 0.020*\"alic\" + 0.020*\"medal\" + 0.020*\"atheist\"\n", + "2019-01-31 00:55:50,174 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.022*\"member\" + 0.021*\"govern\" + 0.021*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:55:50,179 : INFO : topic diff=0.004184, rho=0.029412\n", + "2019-01-31 00:55:50,342 : INFO : PROGRESS: pass 0, at document #2314000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:55:51,753 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:52,019 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"effect\" + 0.006*\"cancer\" + 0.006*\"proper\"\n", + "2019-01-31 00:55:52,021 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:55:52,022 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.029*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wreath\"\n", + "2019-01-31 00:55:52,023 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 00:55:52,024 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"jack\" + 0.011*\"word\"\n", + "2019-01-31 00:55:52,030 : INFO : topic diff=0.004895, rho=0.029399\n", + "2019-01-31 00:55:52,184 : INFO : PROGRESS: pass 0, at document #2316000/4922894\n", + "2019-01-31 00:55:53,543 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:53,809 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.031*\"rural\" + 0.027*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.015*\"alexand\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:55:53,810 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.077*\"octob\" + 0.077*\"march\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.066*\"april\" + 0.065*\"decatur\" + 0.065*\"judici\" + 0.064*\"august\"\n", + "2019-01-31 00:55:53,811 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.024*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.010*\"poll\" + 0.010*\"centuri\" + 0.009*\"relationship\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:55:53,812 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.008*\"septemb\" + 0.007*\"love\" + 0.007*\"anim\" + 0.007*\"appear\" + 0.006*\"comic\" + 0.006*\"gestur\" + 0.005*\"blue\" + 0.005*\"vision\"\n", + "2019-01-31 00:55:53,813 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.039*\"tortur\" + 0.035*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:55:53,819 : INFO : topic diff=0.004881, rho=0.029386\n", + "2019-01-31 00:55:53,978 : INFO : PROGRESS: pass 0, at document #2318000/4922894\n", + "2019-01-31 00:55:55,375 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:55:55,641 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"slur\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:55:55,642 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"vacant\"\n", + "2019-01-31 00:55:55,643 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:55:55,644 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:55:55,645 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.020*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"refut\"\n", + "2019-01-31 00:55:55,651 : INFO : topic diff=0.005084, rho=0.029374\n", + "2019-01-31 00:55:58,351 : INFO : -12.302 per-word bound, 5049.5 perplexity estimate based on a held-out corpus of 2000 documents with 552979 words\n", + "2019-01-31 00:55:58,351 : INFO : PROGRESS: pass 0, at document #2320000/4922894\n", + "2019-01-31 00:55:59,752 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:00,020 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.041*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:56:00,022 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.013*\"record\" + 0.010*\"blind\" + 0.008*\"depress\" + 0.008*\"arm\"\n", + "2019-01-31 00:56:00,023 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.042*\"chilton\" + 0.022*\"hong\" + 0.021*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 00:56:00,024 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.009*\"aza\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"pour\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 00:56:00,025 : INFO : topic #26 (0.020): 0.030*\"woman\" + 0.028*\"workplac\" + 0.027*\"men\" + 0.025*\"champion\" + 0.023*\"olymp\" + 0.021*\"event\" + 0.021*\"rainfal\" + 0.020*\"atheist\" + 0.020*\"alic\" + 0.020*\"medal\"\n", + "2019-01-31 00:56:00,030 : INFO : topic diff=0.004282, rho=0.029361\n", + "2019-01-31 00:56:00,191 : INFO : PROGRESS: pass 0, at document #2322000/4922894\n", + "2019-01-31 00:56:01,567 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:01,837 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:56:01,838 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.009*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:56:01,839 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:56:01,840 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.025*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:56:01,841 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.045*\"franc\" + 0.029*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.015*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.009*\"wreath\"\n", + "2019-01-31 00:56:01,846 : INFO : topic diff=0.004100, rho=0.029348\n", + "2019-01-31 00:56:02,006 : INFO : PROGRESS: pass 0, at document #2324000/4922894\n", + "2019-01-31 00:56:03,424 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:03,690 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 00:56:03,691 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:56:03,692 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"grammat\" + 0.018*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.014*\"paisiello\"\n", + "2019-01-31 00:56:03,693 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"network\" + 0.011*\"prognosi\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.007*\"brio\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:56:03,694 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:56:03,700 : INFO : topic diff=0.005903, rho=0.029336\n", + "2019-01-31 00:56:03,858 : INFO : PROGRESS: pass 0, at document #2326000/4922894\n", + "2019-01-31 00:56:05,249 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:56:05,515 : INFO : topic #46 (0.020): 0.018*\"swedish\" + 0.018*\"sweden\" + 0.017*\"wind\" + 0.016*\"stop\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.015*\"norwegian\" + 0.014*\"farid\" + 0.013*\"financ\" + 0.013*\"turkish\"\n", + "2019-01-31 00:56:05,516 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 00:56:05,517 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.022*\"member\" + 0.021*\"govern\" + 0.021*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:56:05,518 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.013*\"anglo\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.010*\"televis\" + 0.010*\"khalsa\" + 0.010*\"alam\" + 0.009*\"sri\" + 0.009*\"affection\"\n", + "2019-01-31 00:56:05,519 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:56:05,525 : INFO : topic diff=0.004088, rho=0.029323\n", + "2019-01-31 00:56:05,681 : INFO : PROGRESS: pass 0, at document #2328000/4922894\n", + "2019-01-31 00:56:07,076 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:07,342 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.018*\"grammat\" + 0.018*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.014*\"paisiello\"\n", + "2019-01-31 00:56:07,344 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.025*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"cathedr\"\n", + "2019-01-31 00:56:07,345 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.025*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:56:07,346 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.031*\"rural\" + 0.028*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 00:56:07,347 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"cultur\"\n", + "2019-01-31 00:56:07,353 : INFO : topic diff=0.004243, rho=0.029311\n", + "2019-01-31 00:56:07,518 : INFO : PROGRESS: pass 0, at document #2330000/4922894\n", + "2019-01-31 00:56:08,940 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:09,210 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.011*\"european\" + 0.009*\"itali\" + 0.009*\"europ\"\n", + "2019-01-31 00:56:09,211 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:56:09,212 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.013*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"carlo\"\n", + "2019-01-31 00:56:09,213 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:56:09,214 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.007*\"anim\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"blue\" + 0.005*\"workplac\"\n", + "2019-01-31 00:56:09,220 : INFO : topic diff=0.005387, rho=0.029298\n", + "2019-01-31 00:56:09,377 : INFO : PROGRESS: pass 0, at document #2332000/4922894\n", + "2019-01-31 00:56:10,753 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:11,019 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.011*\"case\" + 0.010*\"replac\" + 0.010*\"order\" + 0.009*\"polaris\" + 0.009*\"legal\"\n", + "2019-01-31 00:56:11,020 : INFO : topic #46 (0.020): 0.018*\"swedish\" + 0.018*\"sweden\" + 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"norwai\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.014*\"farid\" + 0.013*\"turkish\" + 0.012*\"financ\"\n", + "2019-01-31 00:56:11,021 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.014*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\" + 0.012*\"physician\"\n", + "2019-01-31 00:56:11,022 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:56:11,023 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.025*\"australia\" + 0.024*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:56:11,029 : INFO : topic diff=0.004230, rho=0.029285\n", + "2019-01-31 00:56:11,237 : INFO : PROGRESS: pass 0, at document #2334000/4922894\n", + "2019-01-31 00:56:12,618 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:12,884 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"vacant\" + 0.009*\"sourc\" + 0.009*\"palmer\"\n", + "2019-01-31 00:56:12,885 : INFO : topic #48 (0.020): 0.081*\"sens\" + 0.079*\"march\" + 0.078*\"octob\" + 0.072*\"januari\" + 0.070*\"notion\" + 0.070*\"juli\" + 0.068*\"april\" + 0.067*\"judici\" + 0.067*\"august\" + 0.066*\"decatur\"\n", + "2019-01-31 00:56:12,887 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 00:56:12,888 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 00:56:12,889 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.011*\"case\" + 0.010*\"replac\" + 0.010*\"order\" + 0.009*\"polaris\" + 0.009*\"legal\"\n", + "2019-01-31 00:56:12,895 : INFO : topic diff=0.004540, rho=0.029273\n", + "2019-01-31 00:56:13,049 : INFO : PROGRESS: pass 0, at document #2336000/4922894\n", + "2019-01-31 00:56:14,433 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:14,700 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.041*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.008*\"district\"\n", + "2019-01-31 00:56:14,701 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.037*\"raid\" + 0.031*\"arsen\" + 0.025*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.013*\"rosenwald\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:56:14,702 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:56:14,703 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"schuster\" + 0.023*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.011*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:56:14,704 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.007*\"anim\" + 0.007*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.007*\"gestur\" + 0.006*\"blue\" + 0.005*\"workplac\"\n", + "2019-01-31 00:56:14,710 : INFO : topic diff=0.004470, rho=0.029260\n", + "2019-01-31 00:56:14,869 : INFO : PROGRESS: pass 0, at document #2338000/4922894\n", + "2019-01-31 00:56:16,253 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:16,520 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"taxpay\" + 0.025*\"scientist\" + 0.022*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:56:16,521 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.007*\"english\" + 0.007*\"trade\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:56:16,522 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:56:16,523 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.044*\"american\" + 0.025*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.015*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:56:16,525 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 00:56:16,530 : INFO : topic diff=0.004893, rho=0.029248\n", + "2019-01-31 00:56:19,310 : INFO : -11.571 per-word bound, 3041.6 perplexity estimate based on a held-out corpus of 2000 documents with 538395 words\n", + "2019-01-31 00:56:19,311 : INFO : PROGRESS: pass 0, at document #2340000/4922894\n", + "2019-01-31 00:56:20,683 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:20,949 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 00:56:20,950 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.025*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.014*\"open\"\n", + "2019-01-31 00:56:20,951 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.012*\"anglo\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.011*\"khalsa\" + 0.010*\"televis\" + 0.010*\"alam\" + 0.010*\"sri\" + 0.010*\"muskoge\"\n", + "2019-01-31 00:56:20,952 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.008*\"depress\" + 0.008*\"arm\"\n", + "2019-01-31 00:56:20,953 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.014*\"israel\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"itali\"\n", + "2019-01-31 00:56:20,960 : INFO : topic diff=0.003730, rho=0.029235\n", + "2019-01-31 00:56:21,119 : INFO : PROGRESS: pass 0, at document #2342000/4922894\n", + "2019-01-31 00:56:22,515 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:22,782 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 00:56:22,783 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"georg\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:56:22,784 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.040*\"tortur\" + 0.034*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.020*\"cede\"\n", + "2019-01-31 00:56:22,785 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.022*\"hong\" + 0.022*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 00:56:22,786 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.031*\"priest\" + 0.019*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 00:56:22,792 : INFO : topic diff=0.006449, rho=0.029223\n", + "2019-01-31 00:56:22,946 : INFO : PROGRESS: pass 0, at document #2344000/4922894\n", + "2019-01-31 00:56:24,301 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:24,568 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 00:56:24,569 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.013*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 00:56:24,569 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.027*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"japanes\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:56:24,570 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"order\" + 0.009*\"polaris\" + 0.009*\"legal\"\n", + "2019-01-31 00:56:24,571 : INFO : topic #46 (0.020): 0.018*\"swedish\" + 0.018*\"sweden\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.016*\"wind\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.014*\"farid\" + 0.012*\"financ\" + 0.012*\"turkish\"\n", + "2019-01-31 00:56:24,577 : INFO : topic diff=0.004345, rho=0.029210\n", + "2019-01-31 00:56:24,732 : INFO : PROGRESS: pass 0, at document #2346000/4922894\n", + "2019-01-31 00:56:26,097 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:26,363 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.014*\"brazil\"\n", + "2019-01-31 00:56:26,364 : INFO : topic #13 (0.020): 0.025*\"new\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.025*\"australia\" + 0.023*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:56:26,365 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.007*\"anim\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:56:26,366 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.021*\"member\" + 0.021*\"govern\" + 0.021*\"serv\" + 0.016*\"gener\" + 0.015*\"start\" + 0.015*\"chickasaw\"\n", + "2019-01-31 00:56:26,367 : INFO : topic #48 (0.020): 0.081*\"sens\" + 0.079*\"march\" + 0.078*\"octob\" + 0.073*\"januari\" + 0.071*\"notion\" + 0.071*\"juli\" + 0.069*\"april\" + 0.068*\"august\" + 0.068*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 00:56:26,373 : INFO : topic diff=0.004569, rho=0.029198\n", + "2019-01-31 00:56:26,530 : INFO : PROGRESS: pass 0, at document #2348000/4922894\n", + "2019-01-31 00:56:27,915 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:28,181 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.022*\"hong\" + 0.021*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.015*\"sourc\" + 0.015*\"leah\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 00:56:28,182 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.025*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.014*\"open\"\n", + "2019-01-31 00:56:28,183 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.025*\"australia\" + 0.023*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:56:28,184 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.029*\"pari\" + 0.021*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:56:28,185 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.017*\"adulthood\" + 0.014*\"feel\" + 0.012*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.008*\"hostil\" + 0.008*\"biom\" + 0.008*\"western\"\n", + "2019-01-31 00:56:28,191 : INFO : topic diff=0.004108, rho=0.029185\n", + "2019-01-31 00:56:28,350 : INFO : PROGRESS: pass 0, at document #2350000/4922894\n", + "2019-01-31 00:56:29,735 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:30,001 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.007*\"anim\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:56:30,002 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"develop\" + 0.006*\"spectacl\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:56:30,004 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.044*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 00:56:30,005 : INFO : topic #40 (0.020): 0.090*\"unit\" + 0.023*\"collector\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:56:30,005 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.029*\"pari\" + 0.021*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:56:30,011 : INFO : topic diff=0.004374, rho=0.029173\n", + "2019-01-31 00:56:30,168 : INFO : PROGRESS: pass 0, at document #2352000/4922894\n", + "2019-01-31 00:56:31,556 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:31,824 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"televis\" + 0.010*\"sri\" + 0.010*\"alam\"\n", + "2019-01-31 00:56:31,825 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.028*\"workplac\" + 0.027*\"men\" + 0.026*\"champion\" + 0.024*\"olymp\" + 0.021*\"event\" + 0.021*\"medal\" + 0.020*\"rainfal\" + 0.020*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:56:31,827 : INFO : topic #28 (0.020): 0.030*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"strategist\" + 0.011*\"briarwood\" + 0.010*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:56:31,828 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"japanes\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:56:31,829 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.014*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:56:31,835 : INFO : topic diff=0.004075, rho=0.029161\n", + "2019-01-31 00:56:31,988 : INFO : PROGRESS: pass 0, at document #2354000/4922894\n", + "2019-01-31 00:56:33,340 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:33,607 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:56:33,608 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.044*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 00:56:33,609 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"armi\" + 0.021*\"aggress\" + 0.019*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.012*\"unionist\" + 0.012*\"militari\" + 0.012*\"refut\" + 0.012*\"airbu\"\n", + "2019-01-31 00:56:33,610 : INFO : topic #2 (0.020): 0.058*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.009*\"fleet\" + 0.008*\"vernon\"\n", + "2019-01-31 00:56:33,611 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.009*\"vacant\" + 0.009*\"palmer\"\n", + "2019-01-31 00:56:33,617 : INFO : topic diff=0.005187, rho=0.029148\n", + "2019-01-31 00:56:33,771 : INFO : PROGRESS: pass 0, at document #2356000/4922894\n", + "2019-01-31 00:56:35,138 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:35,404 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.025*\"taxpay\" + 0.025*\"scientist\" + 0.022*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:56:35,405 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"order\" + 0.009*\"legal\"\n", + "2019-01-31 00:56:35,406 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:56:35,407 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.024*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:56:35,408 : INFO : topic #11 (0.020): 0.025*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"georg\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\"\n", + "2019-01-31 00:56:35,414 : INFO : topic diff=0.004280, rho=0.029136\n", + "2019-01-31 00:56:35,567 : INFO : PROGRESS: pass 0, at document #2358000/4922894\n", + "2019-01-31 00:56:36,945 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:37,212 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.011*\"european\" + 0.009*\"hungarian\" + 0.009*\"itali\"\n", + "2019-01-31 00:56:37,213 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.007*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:56:37,214 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.041*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.027*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"task\" + 0.008*\"district\"\n", + "2019-01-31 00:56:37,215 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.037*\"raid\" + 0.030*\"arsen\" + 0.024*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.014*\"rosenwald\" + 0.013*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:56:37,216 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"order\" + 0.009*\"legal\"\n", + "2019-01-31 00:56:37,222 : INFO : topic diff=0.004180, rho=0.029123\n", + "2019-01-31 00:56:39,918 : INFO : -11.707 per-word bound, 3342.2 perplexity estimate based on a held-out corpus of 2000 documents with 549535 words\n", + "2019-01-31 00:56:39,918 : INFO : PROGRESS: pass 0, at document #2360000/4922894\n", + "2019-01-31 00:56:41,303 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:41,569 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.028*\"workplac\" + 0.027*\"men\" + 0.026*\"champion\" + 0.024*\"olymp\" + 0.021*\"event\" + 0.021*\"medal\" + 0.020*\"rainfal\" + 0.019*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:56:41,571 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"cancer\"\n", + "2019-01-31 00:56:41,571 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.040*\"tortur\" + 0.034*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.020*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:56:41,573 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.007*\"anim\" + 0.007*\"love\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:56:41,574 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 00:56:41,579 : INFO : topic diff=0.005537, rho=0.029111\n", + "2019-01-31 00:56:41,737 : INFO : PROGRESS: pass 0, at document #2362000/4922894\n", + "2019-01-31 00:56:43,116 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:43,382 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"cultur\"\n", + "2019-01-31 00:56:43,383 : INFO : topic #2 (0.020): 0.059*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.011*\"blur\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:56:43,384 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:56:43,385 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.025*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 00:56:43,386 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:56:43,392 : INFO : topic diff=0.004907, rho=0.029099\n", + "2019-01-31 00:56:43,549 : INFO : PROGRESS: pass 0, at document #2364000/4922894\n", + "2019-01-31 00:56:44,961 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:45,228 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:56:45,229 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.032*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"duke\" + 0.017*\"quarterli\" + 0.016*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 00:56:45,230 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:56:45,231 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"group\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"cultur\"\n", + "2019-01-31 00:56:45,232 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 00:56:45,238 : INFO : topic diff=0.003853, rho=0.029086\n", + "2019-01-31 00:56:45,397 : INFO : PROGRESS: pass 0, at document #2366000/4922894\n", + "2019-01-31 00:56:46,812 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:47,081 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:56:47,082 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.017*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.015*\"chamber\" + 0.014*\"open\"\n", + "2019-01-31 00:56:47,083 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 00:56:47,084 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.043*\"american\" + 0.025*\"valour\" + 0.019*\"dutch\" + 0.017*\"folei\" + 0.017*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.014*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:56:47,085 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.024*\"schuster\" + 0.023*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:56:47,091 : INFO : topic diff=0.004191, rho=0.029074\n", + "2019-01-31 00:56:47,312 : INFO : PROGRESS: pass 0, at document #2368000/4922894\n", + "2019-01-31 00:56:48,738 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:49,004 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"pop\" + 0.010*\"network\" + 0.009*\"develop\" + 0.008*\"user\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 00:56:49,005 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:56:49,006 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"cancer\"\n", + "2019-01-31 00:56:49,007 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.041*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.019*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"task\" + 0.009*\"district\"\n", + "2019-01-31 00:56:49,008 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:56:49,014 : INFO : topic diff=0.004161, rho=0.029062\n", + "2019-01-31 00:56:49,171 : INFO : PROGRESS: pass 0, at document #2370000/4922894\n", + "2019-01-31 00:56:50,563 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:50,830 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"group\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n", + "2019-01-31 00:56:50,831 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"alam\" + 0.010*\"khalsa\" + 0.010*\"televis\" + 0.010*\"muskoge\" + 0.010*\"tajikistan\"\n", + "2019-01-31 00:56:50,832 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"vacant\"\n", + "2019-01-31 00:56:50,833 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\" + 0.012*\"physician\"\n", + "2019-01-31 00:56:50,834 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.044*\"american\" + 0.025*\"valour\" + 0.019*\"dutch\" + 0.017*\"folei\" + 0.017*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:56:50,839 : INFO : topic diff=0.004432, rho=0.029050\n", + "2019-01-31 00:56:51,000 : INFO : PROGRESS: pass 0, at document #2372000/4922894\n", + "2019-01-31 00:56:52,416 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:52,683 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"militari\" + 0.006*\"pour\" + 0.006*\"govern\"\n", + "2019-01-31 00:56:52,684 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.065*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"japanes\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 00:56:52,685 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.044*\"line\" + 0.038*\"raid\" + 0.030*\"arsen\" + 0.024*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.014*\"rosenwald\" + 0.012*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:56:52,686 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:56:52,687 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 00:56:52,693 : INFO : topic diff=0.004759, rho=0.029037\n", + "2019-01-31 00:56:52,847 : INFO : PROGRESS: pass 0, at document #2374000/4922894\n", + "2019-01-31 00:56:54,205 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:54,472 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.024*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:56:54,473 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.014*\"open\"\n", + "2019-01-31 00:56:54,474 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"swedish\" + 0.017*\"norwai\" + 0.016*\"sweden\" + 0.016*\"wind\" + 0.014*\"norwegian\" + 0.014*\"damag\" + 0.012*\"treeless\" + 0.012*\"huntsvil\" + 0.011*\"farid\"\n", + "2019-01-31 00:56:54,475 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:56:54,476 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.013*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n", + "2019-01-31 00:56:54,482 : INFO : topic diff=0.003722, rho=0.029025\n", + "2019-01-31 00:56:54,646 : INFO : PROGRESS: pass 0, at document #2376000/4922894\n", + "2019-01-31 00:56:56,036 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:56,303 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.013*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n", + "2019-01-31 00:56:56,304 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"kenworthi\" + 0.004*\"call\"\n", + "2019-01-31 00:56:56,305 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.032*\"priest\" + 0.020*\"rotterdam\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.017*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.014*\"portugues\" + 0.014*\"count\" + 0.014*\"kingdom\"\n", + "2019-01-31 00:56:56,306 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:56:56,307 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"group\" + 0.007*\"woman\" + 0.007*\"cultur\" + 0.007*\"human\"\n", + "2019-01-31 00:56:56,313 : INFO : topic diff=0.004264, rho=0.029013\n", + "2019-01-31 00:56:56,473 : INFO : PROGRESS: pass 0, at document #2378000/4922894\n", + "2019-01-31 00:56:57,862 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:56:58,128 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:56:58,129 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.078*\"sens\" + 0.078*\"octob\" + 0.072*\"januari\" + 0.071*\"notion\" + 0.070*\"juli\" + 0.069*\"decatur\" + 0.068*\"april\" + 0.067*\"judici\" + 0.067*\"august\"\n", + "2019-01-31 00:56:58,130 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.034*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:56:58,131 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.029*\"pari\" + 0.021*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:56:58,132 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.022*\"kong\" + 0.022*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 00:56:58,138 : INFO : topic diff=0.004136, rho=0.029001\n", + "2019-01-31 00:57:00,859 : INFO : -11.557 per-word bound, 3013.3 perplexity estimate based on a held-out corpus of 2000 documents with 564334 words\n", + "2019-01-31 00:57:00,859 : INFO : PROGRESS: pass 0, at document #2380000/4922894\n", + "2019-01-31 00:57:02,257 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:02,523 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:57:02,524 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.006*\"woman\"\n", + "2019-01-31 00:57:02,525 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.011*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:57:02,526 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 00:57:02,528 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 00:57:02,533 : INFO : topic diff=0.004742, rho=0.028989\n", + "2019-01-31 00:57:02,691 : INFO : PROGRESS: pass 0, at document #2382000/4922894\n", + "2019-01-31 00:57:04,079 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:04,346 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.013*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n", + "2019-01-31 00:57:04,347 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"sri\"\n", + "2019-01-31 00:57:04,348 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 00:57:04,349 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"armi\" + 0.021*\"aggress\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 00:57:04,350 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.024*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:57:04,356 : INFO : topic diff=0.004098, rho=0.028976\n", + "2019-01-31 00:57:04,509 : INFO : PROGRESS: pass 0, at document #2384000/4922894\n", + "2019-01-31 00:57:05,871 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:06,137 : INFO : topic #2 (0.020): 0.055*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.008*\"sai\"\n", + "2019-01-31 00:57:06,139 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:57:06,140 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"cultur\" + 0.007*\"human\" + 0.007*\"woman\"\n", + "2019-01-31 00:57:06,141 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"open\"\n", + "2019-01-31 00:57:06,142 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:57:06,147 : INFO : topic diff=0.003983, rho=0.028964\n", + "2019-01-31 00:57:06,305 : INFO : PROGRESS: pass 0, at document #2386000/4922894\n", + "2019-01-31 00:57:07,700 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:07,967 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:57:07,968 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:57:07,969 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.014*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.011*\"josé\"\n", + "2019-01-31 00:57:07,970 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.022*\"govern\" + 0.022*\"member\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:57:07,971 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.033*\"yawn\" + 0.027*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.020*\"japanes\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"prison\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:57:07,977 : INFO : topic diff=0.004362, rho=0.028952\n", + "2019-01-31 00:57:08,132 : INFO : PROGRESS: pass 0, at document #2388000/4922894\n", + "2019-01-31 00:57:09,506 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:09,772 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.030*\"germani\" + 0.016*\"jewish\" + 0.016*\"vol\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.011*\"european\" + 0.010*\"jeremiah\" + 0.009*\"europ\"\n", + "2019-01-31 00:57:09,773 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.019*\"dutch\" + 0.018*\"english\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"polit\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:57:09,774 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.033*\"new\" + 0.032*\"american\" + 0.028*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:57:09,775 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 00:57:09,776 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 00:57:09,782 : INFO : topic diff=0.004244, rho=0.028940\n", + "2019-01-31 00:57:09,937 : INFO : PROGRESS: pass 0, at document #2390000/4922894\n", + "2019-01-31 00:57:11,313 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:11,579 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 00:57:11,580 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.020*\"dutch\" + 0.018*\"english\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"polit\" + 0.013*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:57:11,582 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:57:11,583 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:57:11,584 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"method\"\n", + "2019-01-31 00:57:11,590 : INFO : topic diff=0.004085, rho=0.028928\n", + "2019-01-31 00:57:11,743 : INFO : PROGRESS: pass 0, at document #2392000/4922894\n", + "2019-01-31 00:57:13,117 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:13,383 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:57:13,384 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"damn\" + 0.016*\"compos\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:57:13,385 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:57:13,386 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:57:13,387 : INFO : topic #2 (0.020): 0.055*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.009*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:57:13,393 : INFO : topic diff=0.004585, rho=0.028916\n", + "2019-01-31 00:57:13,549 : INFO : PROGRESS: pass 0, at document #2394000/4922894\n", + "2019-01-31 00:57:14,928 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:15,194 : INFO : topic #2 (0.020): 0.055*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.011*\"blur\" + 0.010*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:57:15,195 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"swedish\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.016*\"wind\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.012*\"treeless\" + 0.012*\"turkish\" + 0.011*\"farid\"\n", + "2019-01-31 00:57:15,196 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:57:15,197 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.021*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:57:15,198 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.030*\"germani\" + 0.016*\"jewish\" + 0.016*\"vol\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.011*\"european\" + 0.010*\"jeremiah\" + 0.009*\"itali\"\n", + "2019-01-31 00:57:15,204 : INFO : topic diff=0.004292, rho=0.028904\n", + "2019-01-31 00:57:15,360 : INFO : PROGRESS: pass 0, at document #2396000/4922894\n", + "2019-01-31 00:57:16,745 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:17,011 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"cathol\" + 0.021*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"centuri\" + 0.009*\"parish\" + 0.008*\"poll\"\n", + "2019-01-31 00:57:17,012 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.036*\"raid\" + 0.030*\"arsen\" + 0.025*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.014*\"rosenwald\" + 0.012*\"exhaust\" + 0.012*\"oper\"\n", + "2019-01-31 00:57:17,013 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.023*\"factor\" + 0.015*\"adulthood\" + 0.013*\"feel\" + 0.012*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"western\" + 0.009*\"biom\" + 0.008*\"median\"\n", + "2019-01-31 00:57:17,014 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.021*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:57:17,015 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.020*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.015*\"portugues\" + 0.014*\"kingdom\" + 0.014*\"count\"\n", + "2019-01-31 00:57:17,021 : INFO : topic diff=0.004440, rho=0.028892\n", + "2019-01-31 00:57:17,234 : INFO : PROGRESS: pass 0, at document #2398000/4922894\n", + "2019-01-31 00:57:18,618 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:18,885 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.030*\"germani\" + 0.016*\"jewish\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"jeremiah\" + 0.009*\"itali\"\n", + "2019-01-31 00:57:18,886 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:57:18,887 : INFO : topic #2 (0.020): 0.055*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 00:57:18,888 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.016*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 00:57:18,889 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.033*\"new\" + 0.032*\"american\" + 0.028*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:57:18,895 : INFO : topic diff=0.004711, rho=0.028880\n", + "2019-01-31 00:57:21,545 : INFO : -11.655 per-word bound, 3224.3 perplexity estimate based on a held-out corpus of 2000 documents with 540892 words\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:57:21,546 : INFO : PROGRESS: pass 0, at document #2400000/4922894\n", + "2019-01-31 00:57:22,912 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:23,178 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.023*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:57:23,179 : INFO : topic #26 (0.020): 0.029*\"woman\" + 0.028*\"workplac\" + 0.027*\"men\" + 0.026*\"champion\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:57:23,180 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.029*\"pari\" + 0.021*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:57:23,181 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:57:23,182 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"prognosi\" + 0.010*\"network\" + 0.009*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"cytokin\" + 0.007*\"diggin\" + 0.007*\"brio\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:57:23,188 : INFO : topic diff=0.003905, rho=0.028868\n", + "2019-01-31 00:57:23,350 : INFO : PROGRESS: pass 0, at document #2402000/4922894\n", + "2019-01-31 00:57:24,775 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:25,042 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 00:57:25,043 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"pour\" + 0.006*\"govern\" + 0.006*\"till\"\n", + "2019-01-31 00:57:25,044 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"swedish\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.013*\"treeless\" + 0.012*\"turkish\" + 0.011*\"farid\"\n", + "2019-01-31 00:57:25,045 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"centuri\" + 0.009*\"parish\" + 0.009*\"poll\"\n", + "2019-01-31 00:57:25,046 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:57:25,051 : INFO : topic diff=0.005205, rho=0.028855\n", + "2019-01-31 00:57:25,209 : INFO : PROGRESS: pass 0, at document #2404000/4922894\n", + "2019-01-31 00:57:26,590 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:26,856 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.015*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.008*\"arm\"\n", + "2019-01-31 00:57:26,857 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:57:26,859 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:57:26,860 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:57:26,861 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 00:57:26,866 : INFO : topic diff=0.003970, rho=0.028843\n", + "2019-01-31 00:57:27,024 : INFO : PROGRESS: pass 0, at document #2406000/4922894\n", + "2019-01-31 00:57:28,418 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:28,685 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:57:28,686 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.008*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:57:28,687 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.017*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.008*\"light\"\n", + "2019-01-31 00:57:28,688 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.023*\"factor\" + 0.015*\"adulthood\" + 0.013*\"feel\" + 0.012*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:57:28,689 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"bypass\" + 0.014*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:57:28,695 : INFO : topic diff=0.004941, rho=0.028831\n", + "2019-01-31 00:57:28,850 : INFO : PROGRESS: pass 0, at document #2408000/4922894\n", + "2019-01-31 00:57:30,216 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:30,483 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.007*\"poet\" + 0.006*\"théori\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"method\"\n", + "2019-01-31 00:57:30,484 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"armi\" + 0.021*\"aggress\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:57:30,485 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.070*\"notion\" + 0.070*\"juli\" + 0.069*\"april\" + 0.069*\"judici\" + 0.068*\"decatur\" + 0.067*\"august\"\n", + "2019-01-31 00:57:30,486 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 00:57:30,487 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"duke\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"portugues\" + 0.014*\"kingdom\" + 0.014*\"count\"\n", + "2019-01-31 00:57:30,493 : INFO : topic diff=0.004450, rho=0.028820\n", + "2019-01-31 00:57:30,644 : INFO : PROGRESS: pass 0, at document #2410000/4922894\n", + "2019-01-31 00:57:31,969 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:32,235 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.023*\"factor\" + 0.015*\"adulthood\" + 0.013*\"feel\" + 0.011*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:57:32,236 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.014*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"lizard\" + 0.010*\"francisco\"\n", + "2019-01-31 00:57:32,237 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:57:32,239 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"john\" + 0.012*\"will\"\n", + "2019-01-31 00:57:32,240 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"duke\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.014*\"count\"\n", + "2019-01-31 00:57:32,245 : INFO : topic diff=0.004224, rho=0.028808\n", + "2019-01-31 00:57:32,398 : INFO : PROGRESS: pass 0, at document #2412000/4922894\n", + "2019-01-31 00:57:33,754 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:57:34,021 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.036*\"raid\" + 0.029*\"arsen\" + 0.024*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.014*\"rosenwald\" + 0.012*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 00:57:34,022 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"western\" + 0.016*\"black\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.008*\"light\"\n", + "2019-01-31 00:57:34,023 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:57:34,024 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.011*\"alam\" + 0.010*\"muskoge\" + 0.010*\"sri\"\n", + "2019-01-31 00:57:34,025 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"seri\"\n", + "2019-01-31 00:57:34,031 : INFO : topic diff=0.005137, rho=0.028796\n", + "2019-01-31 00:57:34,189 : INFO : PROGRESS: pass 0, at document #2414000/4922894\n", + "2019-01-31 00:57:35,585 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:35,852 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.022*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:57:35,853 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 00:57:35,854 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:57:35,855 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.019*\"dutch\" + 0.017*\"english\" + 0.016*\"folei\" + 0.016*\"player\" + 0.016*\"polit\" + 0.013*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 00:57:35,856 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"open\"\n", + "2019-01-31 00:57:35,862 : INFO : topic diff=0.004604, rho=0.028784\n", + "2019-01-31 00:57:36,021 : INFO : PROGRESS: pass 0, at document #2416000/4922894\n", + "2019-01-31 00:57:37,422 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:37,689 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.025*\"toronto\" + 0.021*\"hoar\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 00:57:37,690 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 00:57:37,691 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:57:37,692 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.009*\"north\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.008*\"palmer\" + 0.008*\"vacant\"\n", + "2019-01-31 00:57:37,693 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.012*\"airmen\" + 0.012*\"airbu\"\n", + "2019-01-31 00:57:37,699 : INFO : topic diff=0.004405, rho=0.028772\n", + "2019-01-31 00:57:37,858 : INFO : PROGRESS: pass 0, at document #2418000/4922894\n", + "2019-01-31 00:57:39,243 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:39,509 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:57:39,510 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.025*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:57:39,510 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"bypass\" + 0.014*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:57:39,511 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.022*\"govern\" + 0.022*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.015*\"seri\"\n", + "2019-01-31 00:57:39,513 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:57:39,518 : INFO : topic diff=0.004684, rho=0.028760\n", + "2019-01-31 00:57:42,229 : INFO : -11.658 per-word bound, 3232.6 perplexity estimate based on a held-out corpus of 2000 documents with 561226 words\n", + "2019-01-31 00:57:42,229 : INFO : PROGRESS: pass 0, at document #2420000/4922894\n", + "2019-01-31 00:57:43,624 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:43,890 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 00:57:43,892 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"john\" + 0.012*\"will\"\n", + "2019-01-31 00:57:43,892 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.017*\"com\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.012*\"airmen\" + 0.012*\"airbu\"\n", + "2019-01-31 00:57:43,894 : INFO : topic #27 (0.020): 0.066*\"questionnair\" + 0.021*\"candid\" + 0.020*\"ret\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"champion\" + 0.011*\"squatter\"\n", + "2019-01-31 00:57:43,894 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.038*\"sovereignti\" + 0.033*\"rural\" + 0.030*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.020*\"poland\" + 0.020*\"moscow\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:57:43,900 : INFO : topic diff=0.004827, rho=0.028748\n", + "2019-01-31 00:57:44,061 : INFO : PROGRESS: pass 0, at document #2422000/4922894\n", + "2019-01-31 00:57:45,477 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:45,744 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:57:45,745 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:57:45,746 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.012*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 00:57:45,747 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 00:57:45,748 : INFO : topic #37 (0.020): 0.010*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.008*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"blue\" + 0.005*\"workplac\"\n", + "2019-01-31 00:57:45,754 : INFO : topic diff=0.005325, rho=0.028736\n", + "2019-01-31 00:57:45,911 : INFO : PROGRESS: pass 0, at document #2424000/4922894\n", + "2019-01-31 00:57:47,289 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:57:47,555 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:57:47,556 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"palmer\" + 0.008*\"vacant\"\n", + "2019-01-31 00:57:47,557 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"open\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:57:47,558 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 00:57:47,559 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.039*\"tortur\" + 0.034*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.022*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:57:47,565 : INFO : topic diff=0.004299, rho=0.028724\n", + "2019-01-31 00:57:47,720 : INFO : PROGRESS: pass 0, at document #2426000/4922894\n", + "2019-01-31 00:57:49,067 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:49,334 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.073*\"januari\" + 0.072*\"juli\" + 0.072*\"notion\" + 0.071*\"april\" + 0.070*\"judici\" + 0.069*\"august\" + 0.069*\"decatur\"\n", + "2019-01-31 00:57:49,335 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 00:57:49,336 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.047*\"american\" + 0.025*\"valour\" + 0.018*\"dutch\" + 0.018*\"english\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"polit\" + 0.013*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:57:49,337 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.008*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:57:49,338 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"open\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:57:49,344 : INFO : topic diff=0.004469, rho=0.028712\n", + "2019-01-31 00:57:49,500 : INFO : PROGRESS: pass 0, at document #2428000/4922894\n", + "2019-01-31 00:57:50,898 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:51,164 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"pop\" + 0.011*\"network\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.007*\"brio\" + 0.007*\"diggin\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:57:51,166 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"act\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 00:57:51,166 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"bypass\" + 0.014*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:57:51,168 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.007*\"media\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 00:57:51,169 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:57:51,175 : INFO : topic diff=0.004472, rho=0.028701\n", + "2019-01-31 00:57:51,337 : INFO : PROGRESS: pass 0, at document #2430000/4922894\n", + "2019-01-31 00:57:52,754 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:53,021 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 00:57:53,022 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.007*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 00:57:53,023 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:57:53,024 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 00:57:53,025 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"swedish\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.012*\"turkish\" + 0.012*\"denmark\" + 0.012*\"farid\"\n", + "2019-01-31 00:57:53,031 : INFO : topic diff=0.004694, rho=0.028689\n", + "2019-01-31 00:57:53,241 : INFO : PROGRESS: pass 0, at document #2432000/4922894\n", + "2019-01-31 00:57:54,603 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:54,870 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"centuri\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:57:54,871 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.047*\"american\" + 0.025*\"valour\" + 0.018*\"dutch\" + 0.018*\"english\" + 0.017*\"folei\" + 0.016*\"player\" + 0.016*\"polit\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:57:54,872 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"alam\" + 0.011*\"muskoge\" + 0.010*\"televis\" + 0.010*\"affection\"\n", + "2019-01-31 00:57:54,874 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.009*\"man\" + 0.009*\"septemb\" + 0.008*\"comic\" + 0.008*\"anim\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.005*\"vision\" + 0.005*\"blue\"\n", + "2019-01-31 00:57:54,875 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:57:54,881 : INFO : topic diff=0.004256, rho=0.028677\n", + "2019-01-31 00:57:55,034 : INFO : PROGRESS: pass 0, at document #2434000/4922894\n", + "2019-01-31 00:57:56,509 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:56,777 : INFO : topic #36 (0.020): 0.011*\"pop\" + 0.011*\"prognosi\" + 0.011*\"network\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.007*\"brio\" + 0.007*\"diggin\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:57:56,778 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.028*\"workplac\" + 0.027*\"champion\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 00:57:56,779 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"centuri\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:57:56,781 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:57:56,782 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"swedish\" + 0.017*\"sweden\" + 0.017*\"norwai\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"turkish\" + 0.012*\"farid\" + 0.011*\"turkei\"\n", + "2019-01-31 00:57:56,788 : INFO : topic diff=0.004577, rho=0.028665\n", + "2019-01-31 00:57:56,943 : INFO : PROGRESS: pass 0, at document #2436000/4922894\n", + "2019-01-31 00:57:58,331 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:57:58,597 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.027*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.010*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:57:58,598 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:57:58,599 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.074*\"juli\" + 0.073*\"januari\" + 0.072*\"notion\" + 0.071*\"april\" + 0.071*\"judici\" + 0.070*\"august\" + 0.069*\"decatur\"\n", + "2019-01-31 00:57:58,601 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 00:57:58,602 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"illicit\" + 0.016*\"western\" + 0.016*\"black\" + 0.016*\"colder\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.008*\"pain\"\n", + "2019-01-31 00:57:58,607 : INFO : topic diff=0.003927, rho=0.028653\n", + "2019-01-31 00:57:58,768 : INFO : PROGRESS: pass 0, at document #2438000/4922894\n", + "2019-01-31 00:58:00,177 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:00,443 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.047*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.012*\"kim\"\n", + "2019-01-31 00:58:00,444 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.008*\"foam\" + 0.008*\"palmer\" + 0.008*\"vacant\"\n", + "2019-01-31 00:58:00,445 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:58:00,446 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.030*\"germani\" + 0.016*\"jewish\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"jeremiah\" + 0.009*\"europ\"\n", + "2019-01-31 00:58:00,447 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"group\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"workplac\"\n", + "2019-01-31 00:58:00,453 : INFO : topic diff=0.004900, rho=0.028642\n", + "2019-01-31 00:58:03,129 : INFO : -11.515 per-word bound, 2927.3 perplexity estimate based on a held-out corpus of 2000 documents with 547284 words\n", + "2019-01-31 00:58:03,130 : INFO : PROGRESS: pass 0, at document #2440000/4922894\n", + "2019-01-31 00:58:04,509 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:04,776 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"illicit\" + 0.016*\"western\" + 0.016*\"black\" + 0.016*\"colder\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.008*\"pain\"\n", + "2019-01-31 00:58:04,777 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.012*\"life\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 00:58:04,778 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.015*\"physician\" + 0.015*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:58:04,779 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.017*\"champion\" + 0.015*\"open\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:58:04,780 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.025*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"nicola\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:58:04,786 : INFO : topic diff=0.004212, rho=0.028630\n", + "2019-01-31 00:58:04,944 : INFO : PROGRESS: pass 0, at document #2442000/4922894\n", + "2019-01-31 00:58:06,326 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:06,592 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.024*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:58:06,593 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:58:06,594 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:58:06,595 : INFO : topic #35 (0.020): 0.061*\"russia\" + 0.037*\"sovereignti\" + 0.035*\"rural\" + 0.029*\"poison\" + 0.027*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.020*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:58:06,597 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"airmen\"\n", + "2019-01-31 00:58:06,602 : INFO : topic diff=0.004376, rho=0.028618\n", + "2019-01-31 00:58:06,760 : INFO : PROGRESS: pass 0, at document #2444000/4922894\n", + "2019-01-31 00:58:08,102 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:08,371 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.071*\"april\" + 0.071*\"notion\" + 0.070*\"august\" + 0.069*\"judici\" + 0.068*\"decatur\"\n", + "2019-01-31 00:58:08,372 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.031*\"priest\" + 0.021*\"rotterdam\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 00:58:08,373 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:58:08,374 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 00:58:08,375 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.018*\"dutch\" + 0.018*\"english\" + 0.017*\"folei\" + 0.017*\"player\" + 0.016*\"polit\" + 0.013*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:58:08,381 : INFO : topic diff=0.004427, rho=0.028606\n", + "2019-01-31 00:58:08,539 : INFO : PROGRESS: pass 0, at document #2446000/4922894\n", + "2019-01-31 00:58:09,932 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:10,199 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 00:58:10,200 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.038*\"sovereignti\" + 0.036*\"rural\" + 0.028*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.020*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:58:10,201 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.039*\"tortur\" + 0.033*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:58:10,202 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"norwai\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.012*\"farid\" + 0.012*\"denmark\" + 0.012*\"turkish\"\n", + "2019-01-31 00:58:10,203 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:58:10,209 : INFO : topic diff=0.004222, rho=0.028595\n", + "2019-01-31 00:58:10,368 : INFO : PROGRESS: pass 0, at document #2448000/4922894\n", + "2019-01-31 00:58:11,774 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:12,040 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.039*\"tortur\" + 0.033*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:58:12,041 : INFO : topic #35 (0.020): 0.061*\"russia\" + 0.038*\"sovereignti\" + 0.036*\"rural\" + 0.028*\"poison\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 00:58:12,042 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.015*\"adulthood\" + 0.013*\"feel\" + 0.011*\"plaisir\" + 0.011*\"male\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"median\"\n", + "2019-01-31 00:58:12,043 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.012*\"life\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 00:58:12,044 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.011*\"pop\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"cytokin\" + 0.007*\"brio\" + 0.007*\"diggin\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:58:12,050 : INFO : topic diff=0.003707, rho=0.028583\n", + "2019-01-31 00:58:12,207 : INFO : PROGRESS: pass 0, at document #2450000/4922894\n", + "2019-01-31 00:58:13,590 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:13,856 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"kenworthi\"\n", + "2019-01-31 00:58:13,857 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"centuri\" + 0.009*\"parish\"\n", + "2019-01-31 00:58:13,858 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.025*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:58:13,859 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.039*\"tortur\" + 0.034*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.019*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:58:13,860 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.030*\"germani\" + 0.016*\"jewish\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"jeremiah\" + 0.010*\"europ\"\n", + "2019-01-31 00:58:13,866 : INFO : topic diff=0.004929, rho=0.028571\n", + "2019-01-31 00:58:14,022 : INFO : PROGRESS: pass 0, at document #2452000/4922894\n", + "2019-01-31 00:58:15,406 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:15,672 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.024*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:58:15,673 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"airmen\"\n", + "2019-01-31 00:58:15,674 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.029*\"pari\" + 0.021*\"jean\" + 0.020*\"sail\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 00:58:15,675 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.032*\"priest\" + 0.021*\"rotterdam\" + 0.019*\"duke\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.018*\"idiosyncrat\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 00:58:15,677 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:58:15,682 : INFO : topic diff=0.004492, rho=0.028560\n", + "2019-01-31 00:58:15,843 : INFO : PROGRESS: pass 0, at document #2454000/4922894\n", + "2019-01-31 00:58:17,210 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:17,479 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.027*\"workplac\" + 0.027*\"champion\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.020*\"rainfal\" + 0.020*\"event\" + 0.018*\"alic\" + 0.018*\"atheist\"\n", + "2019-01-31 00:58:17,480 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:58:17,481 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 00:58:17,482 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.018*\"sweden\" + 0.017*\"swedish\" + 0.016*\"stop\" + 0.016*\"wind\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"denmark\" + 0.012*\"farid\" + 0.011*\"turkish\"\n", + "2019-01-31 00:58:17,483 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.029*\"poison\" + 0.027*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.020*\"poland\" + 0.015*\"unfortun\" + 0.013*\"czech\"\n", + "2019-01-31 00:58:17,489 : INFO : topic diff=0.004143, rho=0.028548\n", + "2019-01-31 00:58:17,644 : INFO : PROGRESS: pass 0, at document #2456000/4922894\n", + "2019-01-31 00:58:19,016 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:19,282 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 00:58:19,283 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.013*\"shirin\" + 0.012*\"kim\"\n", + "2019-01-31 00:58:19,284 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.024*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:58:19,285 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:58:19,287 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:58:19,292 : INFO : topic diff=0.004388, rho=0.028537\n", + "2019-01-31 00:58:19,449 : INFO : PROGRESS: pass 0, at document #2458000/4922894\n", + "2019-01-31 00:58:20,842 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:21,108 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.027*\"workplac\" + 0.027*\"champion\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.020*\"rainfal\" + 0.019*\"alic\" + 0.018*\"atheist\"\n", + "2019-01-31 00:58:21,109 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:58:21,111 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.018*\"sweden\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.016*\"wind\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.012*\"denmark\" + 0.012*\"farid\" + 0.011*\"turkish\"\n", + "2019-01-31 00:58:21,112 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.011*\"lizard\"\n", + "2019-01-31 00:58:21,113 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:58:21,119 : INFO : topic diff=0.004239, rho=0.028525\n", + "2019-01-31 00:58:23,789 : INFO : -11.431 per-word bound, 2760.2 perplexity estimate based on a held-out corpus of 2000 documents with 559575 words\n", + "2019-01-31 00:58:23,790 : INFO : PROGRESS: pass 0, at document #2460000/4922894\n", + "2019-01-31 00:58:25,160 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:25,426 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.018*\"sweden\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"norwegian\" + 0.015*\"damag\" + 0.012*\"denmark\" + 0.012*\"farid\" + 0.011*\"huntsvil\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:58:25,427 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.021*\"member\" + 0.021*\"govern\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.015*\"seri\"\n", + "2019-01-31 00:58:25,428 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.039*\"tortur\" + 0.033*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:58:25,429 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:58:25,430 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 00:58:25,436 : INFO : topic diff=0.004059, rho=0.028513\n", + "2019-01-31 00:58:25,654 : INFO : PROGRESS: pass 0, at document #2462000/4922894\n", + "2019-01-31 00:58:27,060 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:27,326 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.018*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 00:58:27,327 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"exampl\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 00:58:27,329 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"will\" + 0.012*\"daughter\"\n", + "2019-01-31 00:58:27,330 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.023*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:58:27,330 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.018*\"english\" + 0.017*\"player\" + 0.016*\"polit\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 00:58:27,336 : INFO : topic diff=0.003703, rho=0.028502\n", + "2019-01-31 00:58:27,491 : INFO : PROGRESS: pass 0, at document #2464000/4922894\n", + "2019-01-31 00:58:28,860 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:29,126 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:58:29,127 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.039*\"tortur\" + 0.033*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:58:29,129 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.018*\"norwai\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"denmark\" + 0.012*\"farid\" + 0.011*\"huntsvil\"\n", + "2019-01-31 00:58:29,130 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:58:29,131 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 00:58:29,136 : INFO : topic diff=0.004334, rho=0.028490\n", + "2019-01-31 00:58:29,293 : INFO : PROGRESS: pass 0, at document #2466000/4922894\n", + "2019-01-31 00:58:30,668 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:30,938 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.022*\"act\" + 0.018*\"start\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 00:58:30,939 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.065*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.017*\"prison\"\n", + "2019-01-31 00:58:30,940 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.024*\"cotton\" + 0.022*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 00:58:30,941 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"group\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 00:58:30,942 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:58:30,948 : INFO : topic diff=0.004527, rho=0.028479\n", + "2019-01-31 00:58:31,100 : INFO : PROGRESS: pass 0, at document #2468000/4922894\n", + "2019-01-31 00:58:32,443 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:32,710 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:58:32,711 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.021*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:58:32,712 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"will\"\n", + "2019-01-31 00:58:32,713 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 00:58:32,714 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.014*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:58:32,720 : INFO : topic diff=0.004536, rho=0.028467\n", + "2019-01-31 00:58:32,876 : INFO : PROGRESS: pass 0, at document #2470000/4922894\n", + "2019-01-31 00:58:34,256 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:34,522 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:58:34,523 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.022*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.020*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 00:58:34,524 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 00:58:34,525 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.072*\"juli\" + 0.071*\"januari\" + 0.071*\"august\" + 0.070*\"notion\" + 0.070*\"april\" + 0.068*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 00:58:34,526 : INFO : topic #2 (0.020): 0.053*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.011*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:58:34,532 : INFO : topic diff=0.004253, rho=0.028456\n", + "2019-01-31 00:58:34,689 : INFO : PROGRESS: pass 0, at document #2472000/4922894\n", + "2019-01-31 00:58:36,079 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:36,345 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.039*\"tortur\" + 0.032*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:58:36,346 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.018*\"norwai\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.015*\"damag\" + 0.012*\"farid\" + 0.012*\"denmark\" + 0.011*\"turkish\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:58:36,347 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"alam\" + 0.010*\"televis\" + 0.009*\"affection\"\n", + "2019-01-31 00:58:36,348 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:58:36,350 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.013*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:58:36,355 : INFO : topic diff=0.003954, rho=0.028444\n", + "2019-01-31 00:58:36,513 : INFO : PROGRESS: pass 0, at document #2474000/4922894\n", + "2019-01-31 00:58:37,910 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:38,176 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.018*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.015*\"portugues\" + 0.014*\"kingdom\" + 0.013*\"count\"\n", + "2019-01-31 00:58:38,177 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.038*\"tortur\" + 0.032*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:58:38,179 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"poll\" + 0.009*\"historiographi\"\n", + "2019-01-31 00:58:38,180 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.016*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.011*\"jeremiah\" + 0.010*\"european\" + 0.010*\"europ\"\n", + "2019-01-31 00:58:38,181 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:58:38,186 : INFO : topic diff=0.003548, rho=0.028433\n", + "2019-01-31 00:58:38,346 : INFO : PROGRESS: pass 0, at document #2476000/4922894\n", + "2019-01-31 00:58:39,749 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:40,019 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:58:40,020 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.027*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:58:40,021 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 00:58:40,023 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:58:40,024 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:58:40,029 : INFO : topic diff=0.004280, rho=0.028421\n", + "2019-01-31 00:58:40,190 : INFO : PROGRESS: pass 0, at document #2478000/4922894\n", + "2019-01-31 00:58:41,585 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:41,852 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:58:41,853 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:58:41,854 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.026*\"collector\" + 0.018*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:58:41,855 : INFO : topic #9 (0.020): 0.078*\"bone\" + 0.043*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"english\" + 0.017*\"player\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:58:41,856 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.015*\"shirin\" + 0.012*\"kim\"\n", + "2019-01-31 00:58:41,862 : INFO : topic diff=0.004982, rho=0.028410\n", + "2019-01-31 00:58:44,536 : INFO : -11.660 per-word bound, 3236.0 perplexity estimate based on a held-out corpus of 2000 documents with 538649 words\n", + "2019-01-31 00:58:44,536 : INFO : PROGRESS: pass 0, at document #2480000/4922894\n", + "2019-01-31 00:58:45,896 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:46,165 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"black\" + 0.016*\"western\" + 0.016*\"colder\" + 0.012*\"record\" + 0.011*\"blind\" + 0.009*\"depress\" + 0.008*\"pain\"\n", + "2019-01-31 00:58:46,166 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:58:46,167 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.030*\"germani\" + 0.016*\"vol\" + 0.016*\"jewish\" + 0.015*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.010*\"jeremiah\" + 0.010*\"european\" + 0.009*\"europ\"\n", + "2019-01-31 00:58:46,169 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.023*\"new\" + 0.023*\"palmer\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"includ\" + 0.012*\"open\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:58:46,170 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.065*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:58:46,175 : INFO : topic diff=0.003905, rho=0.028398\n", + "2019-01-31 00:58:46,330 : INFO : PROGRESS: pass 0, at document #2482000/4922894\n", + "2019-01-31 00:58:47,690 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:47,957 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.027*\"men\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.022*\"medal\" + 0.020*\"alic\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:58:47,958 : INFO : topic #35 (0.020): 0.062*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.028*\"poison\" + 0.024*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"turin\" + 0.015*\"unfortun\"\n", + "2019-01-31 00:58:47,959 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 00:58:47,960 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"market\" + 0.012*\"million\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 00:58:47,961 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"effect\" + 0.007*\"caus\" + 0.007*\"hormon\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 00:58:47,967 : INFO : topic diff=0.004212, rho=0.028387\n", + "2019-01-31 00:58:48,123 : INFO : PROGRESS: pass 0, at document #2484000/4922894\n", + "2019-01-31 00:58:49,495 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:49,762 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.011*\"blur\" + 0.011*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:58:49,763 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"differ\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:58:49,764 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.030*\"germani\" + 0.016*\"jewish\" + 0.016*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.011*\"jeremiah\" + 0.010*\"european\" + 0.009*\"europ\"\n", + "2019-01-31 00:58:49,765 : INFO : topic #28 (0.020): 0.031*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:58:49,767 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.007*\"caus\" + 0.007*\"effect\" + 0.007*\"have\" + 0.006*\"hormon\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 00:58:49,772 : INFO : topic diff=0.004235, rho=0.028375\n", + "2019-01-31 00:58:49,927 : INFO : PROGRESS: pass 0, at document #2486000/4922894\n", + "2019-01-31 00:58:51,286 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:51,553 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.022*\"schuster\" + 0.021*\"institut\" + 0.020*\"collector\" + 0.020*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.013*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 00:58:51,554 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:58:51,555 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"stop\" + 0.017*\"norwai\" + 0.017*\"swedish\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.014*\"damag\" + 0.012*\"turkish\" + 0.012*\"huntsvil\" + 0.012*\"farid\"\n", + "2019-01-31 00:58:51,556 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:58:51,557 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.022*\"factor\" + 0.014*\"adulthood\" + 0.013*\"feel\" + 0.012*\"plaisir\" + 0.011*\"male\" + 0.011*\"genu\" + 0.009*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:58:51,563 : INFO : topic diff=0.003709, rho=0.028364\n", + "2019-01-31 00:58:51,719 : INFO : PROGRESS: pass 0, at document #2488000/4922894\n", + "2019-01-31 00:58:53,091 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:53,357 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.011*\"blur\" + 0.011*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:58:53,358 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.043*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:58:53,359 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.032*\"priest\" + 0.021*\"rotterdam\" + 0.019*\"grammat\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"portugues\" + 0.013*\"kingdom\" + 0.013*\"count\"\n", + "2019-01-31 00:58:53,360 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:58:53,361 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.014*\"adulthood\" + 0.013*\"feel\" + 0.012*\"plaisir\" + 0.011*\"male\" + 0.011*\"genu\" + 0.009*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:58:53,367 : INFO : topic diff=0.004803, rho=0.028352\n", + "2019-01-31 00:58:53,521 : INFO : PROGRESS: pass 0, at document #2490000/4922894\n", + "2019-01-31 00:58:54,895 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:55,165 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:58:55,166 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.043*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:58:55,167 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"historiographi\" + 0.009*\"centuri\"\n", + "2019-01-31 00:58:55,168 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.008*\"comic\" + 0.008*\"anim\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"blue\"\n", + "2019-01-31 00:58:55,169 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:58:55,175 : INFO : topic diff=0.003928, rho=0.028341\n", + "2019-01-31 00:58:55,331 : INFO : PROGRESS: pass 0, at document #2492000/4922894\n", + "2019-01-31 00:58:56,716 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:56,982 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.012*\"thailand\"\n", + "2019-01-31 00:58:56,983 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.008*\"pathwai\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:58:56,984 : INFO : topic #16 (0.020): 0.051*\"king\" + 0.032*\"priest\" + 0.021*\"rotterdam\" + 0.020*\"grammat\" + 0.018*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"order\" + 0.014*\"portugues\" + 0.013*\"kingdom\"\n", + "2019-01-31 00:58:56,985 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"christian\" + 0.023*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"historiographi\" + 0.009*\"centuri\"\n", + "2019-01-31 00:58:56,986 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:58:56,992 : INFO : topic diff=0.003798, rho=0.028330\n", + "2019-01-31 00:58:57,203 : INFO : PROGRESS: pass 0, at document #2494000/4922894\n", + "2019-01-31 00:58:58,579 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:58:58,845 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.007*\"championship\" + 0.007*\"uruguayan\"\n", + "2019-01-31 00:58:58,846 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.046*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.013*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 00:58:58,847 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 00:58:58,849 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.023*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"includ\" + 0.012*\"open\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:58:58,850 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:58:58,856 : INFO : topic diff=0.003770, rho=0.028318\n", + "2019-01-31 00:58:59,013 : INFO : PROGRESS: pass 0, at document #2496000/4922894\n", + "2019-01-31 00:59:00,396 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:00,663 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.043*\"line\" + 0.036*\"raid\" + 0.028*\"arsen\" + 0.024*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.016*\"rosenwald\" + 0.012*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 00:59:00,664 : INFO : topic #35 (0.020): 0.062*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.028*\"poison\" + 0.024*\"personifi\" + 0.022*\"moscow\" + 0.021*\"reprint\" + 0.019*\"poland\" + 0.016*\"turin\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:59:00,665 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:59:00,666 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"sourc\" + 0.026*\"new\" + 0.025*\"australia\" + 0.024*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:59:00,667 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"jeremiah\" + 0.009*\"europ\"\n", + "2019-01-31 00:59:00,672 : INFO : topic diff=0.003982, rho=0.028307\n", + "2019-01-31 00:59:00,826 : INFO : PROGRESS: pass 0, at document #2498000/4922894\n", + "2019-01-31 00:59:02,182 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:02,449 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:59:02,450 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"centuri\" + 0.009*\"parish\"\n", + "2019-01-31 00:59:02,451 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 00:59:02,452 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.023*\"factor\" + 0.014*\"adulthood\" + 0.013*\"feel\" + 0.011*\"plaisir\" + 0.011*\"male\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 00:59:02,453 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:59:02,459 : INFO : topic diff=0.004895, rho=0.028296\n", + "2019-01-31 00:59:05,118 : INFO : -11.711 per-word bound, 3351.7 perplexity estimate based on a held-out corpus of 2000 documents with 559807 words\n", + "2019-01-31 00:59:05,118 : INFO : PROGRESS: pass 0, at document #2500000/4922894\n", + "2019-01-31 00:59:06,482 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:06,749 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"palmer\" + 0.023*\"new\" + 0.013*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 00:59:06,750 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 00:59:06,751 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 00:59:06,752 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:59:06,753 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"workplac\"\n", + "2019-01-31 00:59:06,759 : INFO : topic diff=0.004423, rho=0.028284\n", + "2019-01-31 00:59:06,917 : INFO : PROGRESS: pass 0, at document #2502000/4922894\n", + "2019-01-31 00:59:08,300 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:08,566 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"norwai\" + 0.017*\"stop\" + 0.016*\"swedish\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.014*\"damag\" + 0.012*\"farid\" + 0.011*\"turkish\" + 0.011*\"denmark\"\n", + "2019-01-31 00:59:08,567 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.021*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 00:59:08,568 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.066*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:59:08,569 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:59:08,570 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"martin\" + 0.016*\"goal\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:59:08,576 : INFO : topic diff=0.003549, rho=0.028273\n", + "2019-01-31 00:59:08,739 : INFO : PROGRESS: pass 0, at document #2504000/4922894\n", + "2019-01-31 00:59:10,107 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:10,377 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.021*\"wife\" + 0.019*\"tourist\" + 0.017*\"champion\" + 0.015*\"martin\" + 0.014*\"open\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.013*\"tiepolo\"\n", + "2019-01-31 00:59:10,378 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.007*\"exampl\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 00:59:10,379 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"foam\" + 0.008*\"vacant\"\n", + "2019-01-31 00:59:10,380 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:59:10,381 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 00:59:10,387 : INFO : topic diff=0.004378, rho=0.028262\n", + "2019-01-31 00:59:10,543 : INFO : PROGRESS: pass 0, at document #2506000/4922894\n", + "2019-01-31 00:59:11,913 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:12,180 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.022*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:59:12,181 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.027*\"champion\" + 0.027*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.023*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:59:12,182 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"cultur\"\n", + "2019-01-31 00:59:12,183 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 00:59:12,184 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 00:59:12,190 : INFO : topic diff=0.004373, rho=0.028250\n", + "2019-01-31 00:59:12,344 : INFO : PROGRESS: pass 0, at document #2508000/4922894\n", + "2019-01-31 00:59:13,718 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:13,984 : INFO : topic #45 (0.020): 0.029*\"jpg\" + 0.027*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.009*\"depress\" + 0.008*\"pain\"\n", + "2019-01-31 00:59:13,985 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.044*\"canadian\" + 0.022*\"toronto\" + 0.021*\"hoar\" + 0.019*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"novotná\" + 0.011*\"quebec\"\n", + "2019-01-31 00:59:13,986 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.038*\"tortur\" + 0.033*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:59:13,987 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.022*\"candid\" + 0.019*\"taxpay\" + 0.015*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.012*\"squatter\" + 0.011*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:59:13,988 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 00:59:13,994 : INFO : topic diff=0.004081, rho=0.028239\n", + "2019-01-31 00:59:14,146 : INFO : PROGRESS: pass 0, at document #2510000/4922894\n", + "2019-01-31 00:59:15,500 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:15,766 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 00:59:15,768 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 00:59:15,769 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"poison\" + 0.024*\"personifi\" + 0.022*\"moscow\" + 0.021*\"reprint\" + 0.019*\"poland\" + 0.016*\"turin\" + 0.014*\"unfortun\"\n", + "2019-01-31 00:59:15,770 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.021*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.015*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:59:15,771 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.007*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:59:15,777 : INFO : topic diff=0.003900, rho=0.028228\n", + "2019-01-31 00:59:15,935 : INFO : PROGRESS: pass 0, at document #2512000/4922894\n", + "2019-01-31 00:59:17,334 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:17,601 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.071*\"august\" + 0.071*\"notion\" + 0.070*\"april\" + 0.070*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 00:59:17,602 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:59:17,603 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.066*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.017*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:59:17,604 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"till\"\n", + "2019-01-31 00:59:17,605 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 00:59:17,611 : INFO : topic diff=0.004112, rho=0.028217\n", + "2019-01-31 00:59:17,770 : INFO : PROGRESS: pass 0, at document #2514000/4922894\n", + "2019-01-31 00:59:19,135 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:19,405 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.007*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 00:59:19,406 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:59:19,407 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.026*\"final\" + 0.021*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"open\" + 0.014*\"chamber\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:59:19,408 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:59:19,409 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:59:19,415 : INFO : topic diff=0.003551, rho=0.028205\n", + "2019-01-31 00:59:19,575 : INFO : PROGRESS: pass 0, at document #2516000/4922894\n", + "2019-01-31 00:59:21,435 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:21,702 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:59:21,703 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.065*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.017*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:59:21,704 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.012*\"turkei\" + 0.012*\"treeless\" + 0.012*\"turkish\"\n", + "2019-01-31 00:59:21,705 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n", + "2019-01-31 00:59:21,706 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.021*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.015*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:59:21,712 : INFO : topic diff=0.004172, rho=0.028194\n", + "2019-01-31 00:59:21,870 : INFO : PROGRESS: pass 0, at document #2518000/4922894\n", + "2019-01-31 00:59:23,286 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:23,552 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:59:23,554 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 00:59:23,555 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"pseudo\" + 0.009*\"class\" + 0.009*\"task\"\n", + "2019-01-31 00:59:23,556 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.041*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"poison\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.021*\"reprint\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 00:59:23,557 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.021*\"candid\" + 0.020*\"taxpay\" + 0.014*\"ret\" + 0.012*\"find\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"squatter\" + 0.012*\"tornado\" + 0.010*\"théori\"\n", + "2019-01-31 00:59:23,563 : INFO : topic diff=0.003930, rho=0.028183\n", + "2019-01-31 00:59:26,153 : INFO : -11.477 per-word bound, 2850.2 perplexity estimate based on a held-out corpus of 2000 documents with 521447 words\n", + "2019-01-31 00:59:26,153 : INFO : PROGRESS: pass 0, at document #2520000/4922894\n", + "2019-01-31 00:59:27,488 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:27,754 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.037*\"tortur\" + 0.032*\"cotton\" + 0.025*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 00:59:27,755 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.041*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"poison\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.021*\"reprint\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.016*\"turin\"\n", + "2019-01-31 00:59:27,756 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.021*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"open\" + 0.014*\"tiepolo\"\n", + "2019-01-31 00:59:27,757 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.025*\"new\" + 0.025*\"australia\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:59:27,758 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.021*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.015*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:59:27,764 : INFO : topic diff=0.005164, rho=0.028172\n", + "2019-01-31 00:59:27,926 : INFO : PROGRESS: pass 0, at document #2522000/4922894\n", + "2019-01-31 00:59:29,345 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:29,611 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.010*\"diversifi\"\n", + "2019-01-31 00:59:29,613 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.044*\"american\" + 0.026*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 00:59:29,614 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.021*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 00:59:29,615 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 00:59:29,616 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:59:29,622 : INFO : topic diff=0.005141, rho=0.028161\n", + "2019-01-31 00:59:29,780 : INFO : PROGRESS: pass 0, at document #2524000/4922894\n", + "2019-01-31 00:59:31,183 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:31,449 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"pseudo\" + 0.010*\"class\" + 0.009*\"task\"\n", + "2019-01-31 00:59:31,450 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.019*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"poll\" + 0.009*\"parish\"\n", + "2019-01-31 00:59:31,451 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.040*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.021*\"moscow\" + 0.021*\"reprint\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 00:59:31,452 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.030*\"priest\" + 0.020*\"grammat\" + 0.019*\"rotterdam\" + 0.018*\"duke\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"portugues\" + 0.014*\"order\" + 0.013*\"count\"\n", + "2019-01-31 00:59:31,453 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.011*\"storag\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:59:31,459 : INFO : topic diff=0.004120, rho=0.028149\n", + "2019-01-31 00:59:31,612 : INFO : PROGRESS: pass 0, at document #2526000/4922894\n", + "2019-01-31 00:59:32,962 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:33,229 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n", + "2019-01-31 00:59:33,230 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"teratogen\"\n", + "2019-01-31 00:59:33,231 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:59:33,233 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.008*\"comic\" + 0.008*\"anim\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"vision\"\n", + "2019-01-31 00:59:33,234 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.025*\"offic\" + 0.023*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.015*\"seri\"\n", + "2019-01-31 00:59:33,240 : INFO : topic diff=0.004776, rho=0.028138\n", + "2019-01-31 00:59:33,460 : INFO : PROGRESS: pass 0, at document #2528000/4922894\n", + "2019-01-31 00:59:34,877 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:35,144 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.043*\"line\" + 0.036*\"raid\" + 0.027*\"arsen\" + 0.023*\"museo\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.017*\"rosenwald\" + 0.013*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 00:59:35,145 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"nicola\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 00:59:35,146 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.018*\"norwai\" + 0.017*\"stop\" + 0.017*\"swedish\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.013*\"turkish\" + 0.013*\"damag\" + 0.012*\"denmark\" + 0.012*\"turkei\"\n", + "2019-01-31 00:59:35,147 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 00:59:35,148 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 00:59:35,154 : INFO : topic diff=0.004358, rho=0.028127\n", + "2019-01-31 00:59:35,316 : INFO : PROGRESS: pass 0, at document #2530000/4922894\n", + "2019-01-31 00:59:36,739 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:37,005 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.030*\"priest\" + 0.020*\"rotterdam\" + 0.019*\"grammat\" + 0.019*\"duke\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"order\" + 0.015*\"portugues\" + 0.013*\"kingdom\"\n", + "2019-01-31 00:59:37,006 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.011*\"televis\" + 0.010*\"sri\" + 0.010*\"alam\" + 0.009*\"affection\"\n", + "2019-01-31 00:59:37,008 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 00:59:37,009 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"jeremiah\"\n", + "2019-01-31 00:59:37,010 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.040*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.021*\"moscow\" + 0.021*\"reprint\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 00:59:37,016 : INFO : topic diff=0.004921, rho=0.028116\n", + "2019-01-31 00:59:37,167 : INFO : PROGRESS: pass 0, at document #2532000/4922894\n", + "2019-01-31 00:59:38,534 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:38,801 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"class\" + 0.010*\"pseudo\" + 0.009*\"task\"\n", + "2019-01-31 00:59:38,802 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 00:59:38,803 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.023*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:59:38,804 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.022*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:59:38,805 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"land\" + 0.008*\"foam\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:59:38,811 : INFO : topic diff=0.004290, rho=0.028105\n", + "2019-01-31 00:59:38,976 : INFO : PROGRESS: pass 0, at document #2534000/4922894\n", + "2019-01-31 00:59:40,411 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:40,679 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"collector\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.011*\"governor\"\n", + "2019-01-31 00:59:40,680 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:59:40,682 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 00:59:40,683 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"land\" + 0.008*\"foam\"\n", + "2019-01-31 00:59:40,684 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"simpler\" + 0.013*\"acrimoni\"\n", + "2019-01-31 00:59:40,689 : INFO : topic diff=0.005142, rho=0.028094\n", + "2019-01-31 00:59:40,846 : INFO : PROGRESS: pass 0, at document #2536000/4922894\n", + "2019-01-31 00:59:42,234 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:42,500 : INFO : topic #45 (0.020): 0.029*\"jpg\" + 0.027*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.013*\"record\" + 0.010*\"blind\" + 0.009*\"depress\" + 0.009*\"pain\"\n", + "2019-01-31 00:59:42,501 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.007*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"govern\"\n", + "2019-01-31 00:59:42,502 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.006*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:59:42,503 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"francisco\"\n", + "2019-01-31 00:59:42,505 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 00:59:42,510 : INFO : topic diff=0.004544, rho=0.028083\n", + "2019-01-31 00:59:42,669 : INFO : PROGRESS: pass 0, at document #2538000/4922894\n", + "2019-01-31 00:59:44,064 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:44,330 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\"\n", + "2019-01-31 00:59:44,331 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 00:59:44,333 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.019*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"historiographi\" + 0.009*\"centuri\"\n", + "2019-01-31 00:59:44,334 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.017*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"acrimoni\" + 0.011*\"direct\"\n", + "2019-01-31 00:59:44,335 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.041*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.021*\"reprint\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 00:59:44,341 : INFO : topic diff=0.004077, rho=0.028072\n", + "2019-01-31 00:59:47,076 : INFO : -12.120 per-word bound, 4451.5 perplexity estimate based on a held-out corpus of 2000 documents with 566639 words\n", + "2019-01-31 00:59:47,077 : INFO : PROGRESS: pass 0, at document #2540000/4922894\n", + "2019-01-31 00:59:48,467 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:48,732 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 00:59:48,733 : INFO : topic #16 (0.020): 0.052*\"king\" + 0.031*\"priest\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.019*\"rotterdam\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.015*\"order\" + 0.014*\"portugues\" + 0.013*\"kingdom\"\n", + "2019-01-31 00:59:48,735 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"jewish\" + 0.014*\"vol\" + 0.014*\"israel\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 00:59:48,736 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 00:59:48,737 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.023*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 00:59:48,743 : INFO : topic diff=0.004293, rho=0.028061\n", + "2019-01-31 00:59:48,900 : INFO : PROGRESS: pass 0, at document #2542000/4922894\n", + "2019-01-31 00:59:50,265 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:50,531 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.025*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 00:59:50,532 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.029*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 00:59:50,534 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 00:59:50,535 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"worldwid\"\n", + "2019-01-31 00:59:50,536 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.032*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:59:50,541 : INFO : topic diff=0.003814, rho=0.028050\n", + "2019-01-31 00:59:50,701 : INFO : PROGRESS: pass 0, at document #2544000/4922894\n", + "2019-01-31 00:59:52,110 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:52,376 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 00:59:52,377 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 00:59:52,378 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.011*\"market\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 00:59:52,379 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"cultur\"\n", + "2019-01-31 00:59:52,380 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"francisco\" + 0.011*\"juan\"\n", + "2019-01-31 00:59:52,386 : INFO : topic diff=0.003761, rho=0.028039\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 00:59:52,540 : INFO : PROGRESS: pass 0, at document #2546000/4922894\n", + "2019-01-31 00:59:53,887 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:54,154 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.015*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 00:59:54,155 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 00:59:54,156 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.046*\"franc\" + 0.029*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.011*\"piec\" + 0.011*\"loui\" + 0.009*\"wine\"\n", + "2019-01-31 00:59:54,157 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"pour\" + 0.006*\"govern\"\n", + "2019-01-31 00:59:54,158 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"strategist\" + 0.010*\"linear\"\n", + "2019-01-31 00:59:54,164 : INFO : topic diff=0.004435, rho=0.028028\n", + "2019-01-31 00:59:54,318 : INFO : PROGRESS: pass 0, at document #2548000/4922894\n", + "2019-01-31 00:59:55,692 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:55,961 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.032*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 00:59:55,962 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 00:59:55,963 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 00:59:55,964 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"find\" + 0.012*\"driver\" + 0.012*\"squatter\" + 0.012*\"ret\" + 0.011*\"fool\" + 0.010*\"théori\"\n", + "2019-01-31 00:59:55,965 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 00:59:55,971 : INFO : topic diff=0.004404, rho=0.028017\n", + "2019-01-31 00:59:56,124 : INFO : PROGRESS: pass 0, at document #2550000/4922894\n", + "2019-01-31 00:59:57,478 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:57,745 : INFO : topic #26 (0.020): 0.028*\"champion\" + 0.028*\"workplac\" + 0.028*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 00:59:57,746 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 00:59:57,747 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.019*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 00:59:57,748 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.009*\"septemb\" + 0.009*\"man\" + 0.009*\"comic\" + 0.008*\"anim\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"storag\"\n", + "2019-01-31 00:59:57,749 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 00:59:57,755 : INFO : topic diff=0.004308, rho=0.028006\n", + "2019-01-31 00:59:57,907 : INFO : PROGRESS: pass 0, at document #2552000/4922894\n", + "2019-01-31 00:59:59,262 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 00:59:59,528 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.022*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.013*\"report\" + 0.013*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 00:59:59,530 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 00:59:59,531 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.023*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"word\" + 0.012*\"olympo\"\n", + "2019-01-31 00:59:59,532 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 00:59:59,533 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 00:59:59,538 : INFO : topic diff=0.004098, rho=0.027995\n", + "2019-01-31 00:59:59,691 : INFO : PROGRESS: pass 0, at document #2554000/4922894\n", + "2019-01-31 01:00:01,049 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:01,315 : INFO : topic #26 (0.020): 0.028*\"champion\" + 0.028*\"workplac\" + 0.028*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.018*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:00:01,316 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.066*\"best\" + 0.032*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.016*\"prison\"\n", + "2019-01-31 01:00:01,317 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"palmer\" + 0.023*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:00:01,318 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.022*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"word\" + 0.012*\"olympo\"\n", + "2019-01-31 01:00:01,319 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:00:01,325 : INFO : topic diff=0.004400, rho=0.027984\n", + "2019-01-31 01:00:01,476 : INFO : PROGRESS: pass 0, at document #2556000/4922894\n", + "2019-01-31 01:00:02,821 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:03,087 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:00:03,088 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:00:03,090 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:00:03,091 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:00:03,092 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.045*\"american\" + 0.026*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 01:00:03,098 : INFO : topic diff=0.004520, rho=0.027973\n", + "2019-01-31 01:00:03,312 : INFO : PROGRESS: pass 0, at document #2558000/4922894\n", + "2019-01-31 01:00:04,701 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:00:04,968 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 01:00:04,970 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:00:04,971 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:00:04,972 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\"\n", + "2019-01-31 01:00:04,973 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.021*\"requir\" + 0.021*\"institut\" + 0.019*\"collector\" + 0.018*\"student\" + 0.017*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:00:04,978 : INFO : topic diff=0.004024, rho=0.027962\n", + "2019-01-31 01:00:07,724 : INFO : -11.708 per-word bound, 3345.2 perplexity estimate based on a held-out corpus of 2000 documents with 594692 words\n", + "2019-01-31 01:00:07,724 : INFO : PROGRESS: pass 0, at document #2560000/4922894\n", + "2019-01-31 01:00:09,122 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:09,389 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:00:09,390 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:00:09,391 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:00:09,392 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"democrat\" + 0.024*\"voluntari\" + 0.022*\"member\" + 0.017*\"republ\" + 0.016*\"polici\" + 0.014*\"report\" + 0.013*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 01:00:09,393 : INFO : topic #0 (0.020): 0.071*\"statewid\" + 0.043*\"line\" + 0.036*\"raid\" + 0.027*\"arsen\" + 0.023*\"museo\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.017*\"rosenwald\" + 0.012*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:00:09,399 : INFO : topic diff=0.005837, rho=0.027951\n", + "2019-01-31 01:00:09,553 : INFO : PROGRESS: pass 0, at document #2562000/4922894\n", + "2019-01-31 01:00:10,916 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:11,183 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:00:11,184 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.017*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"vacant\" + 0.008*\"foam\"\n", + "2019-01-31 01:00:11,185 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"woman\" + 0.028*\"champion\" + 0.027*\"men\" + 0.024*\"olymp\" + 0.020*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.017*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:00:11,186 : INFO : topic #16 (0.020): 0.050*\"king\" + 0.029*\"priest\" + 0.021*\"grammat\" + 0.019*\"rotterdam\" + 0.018*\"duke\" + 0.018*\"quarterli\" + 0.016*\"idiosyncrat\" + 0.016*\"order\" + 0.014*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:00:11,186 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.011*\"francisco\"\n", + "2019-01-31 01:00:11,192 : INFO : topic diff=0.004153, rho=0.027940\n", + "2019-01-31 01:00:11,347 : INFO : PROGRESS: pass 0, at document #2564000/4922894\n", + "2019-01-31 01:00:12,724 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:12,991 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.027*\"hous\" + 0.019*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"strategist\" + 0.010*\"linear\"\n", + "2019-01-31 01:00:12,992 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.076*\"sens\" + 0.074*\"octob\" + 0.073*\"januari\" + 0.070*\"juli\" + 0.069*\"notion\" + 0.068*\"august\" + 0.068*\"judici\" + 0.067*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 01:00:12,993 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:00:12,994 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:00:12,995 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:00:13,001 : INFO : topic diff=0.003664, rho=0.027929\n", + "2019-01-31 01:00:13,154 : INFO : PROGRESS: pass 0, at document #2566000/4922894\n", + "2019-01-31 01:00:14,500 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:14,767 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n", + "2019-01-31 01:00:14,768 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"black\" + 0.016*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"pain\" + 0.009*\"depress\"\n", + "2019-01-31 01:00:14,769 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"pseudo\" + 0.009*\"task\"\n", + "2019-01-31 01:00:14,770 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:00:14,771 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:00:14,776 : INFO : topic diff=0.004213, rho=0.027918\n", + "2019-01-31 01:00:14,937 : INFO : PROGRESS: pass 0, at document #2568000/4922894\n", + "2019-01-31 01:00:16,300 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:16,566 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.025*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:00:16,567 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.076*\"sens\" + 0.075*\"octob\" + 0.073*\"januari\" + 0.070*\"juli\" + 0.069*\"august\" + 0.069*\"notion\" + 0.068*\"judici\" + 0.067*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 01:00:16,568 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"yawn\" + 0.010*\"folei\" + 0.010*\"reconstruct\"\n", + "2019-01-31 01:00:16,569 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:00:16,570 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.019*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:00:16,576 : INFO : topic diff=0.004524, rho=0.027907\n", + "2019-01-31 01:00:16,733 : INFO : PROGRESS: pass 0, at document #2570000/4922894\n", + "2019-01-31 01:00:18,121 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:00:18,387 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.011*\"fool\" + 0.011*\"ret\" + 0.010*\"landslid\" + 0.010*\"squatter\"\n", + "2019-01-31 01:00:18,388 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:00:18,389 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.022*\"factor\" + 0.013*\"feel\" + 0.012*\"adulthood\" + 0.011*\"male\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.008*\"western\" + 0.008*\"biom\" + 0.008*\"median\"\n", + "2019-01-31 01:00:18,390 : INFO : topic #25 (0.020): 0.030*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:00:18,391 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:00:18,397 : INFO : topic diff=0.003682, rho=0.027896\n", + "2019-01-31 01:00:18,552 : INFO : PROGRESS: pass 0, at document #2572000/4922894\n", + "2019-01-31 01:00:19,940 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:20,206 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:00:20,207 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"differ\"\n", + "2019-01-31 01:00:20,208 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:00:20,209 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"black\" + 0.015*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.010*\"pain\" + 0.009*\"depress\"\n", + "2019-01-31 01:00:20,210 : INFO : topic #0 (0.020): 0.070*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.028*\"arsen\" + 0.023*\"museo\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.016*\"rosenwald\" + 0.013*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:00:20,216 : INFO : topic diff=0.004262, rho=0.027886\n", + "2019-01-31 01:00:20,372 : INFO : PROGRESS: pass 0, at document #2574000/4922894\n", + "2019-01-31 01:00:21,742 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:22,008 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:00:22,009 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.010*\"bahá\"\n", + "2019-01-31 01:00:22,010 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"palmer\" + 0.022*\"new\" + 0.014*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:00:22,011 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"differ\"\n", + "2019-01-31 01:00:22,012 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\" + 0.009*\"affection\"\n", + "2019-01-31 01:00:22,018 : INFO : topic diff=0.003424, rho=0.027875\n", + "2019-01-31 01:00:22,175 : INFO : PROGRESS: pass 0, at document #2576000/4922894\n", + "2019-01-31 01:00:23,573 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:23,839 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:00:23,840 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.022*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:00:23,842 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"yawn\" + 0.010*\"folei\" + 0.010*\"reconstruct\"\n", + "2019-01-31 01:00:23,842 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.044*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.023*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.014*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:00:23,844 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:00:23,849 : INFO : topic diff=0.004258, rho=0.027864\n", + "2019-01-31 01:00:24,006 : INFO : PROGRESS: pass 0, at document #2578000/4922894\n", + "2019-01-31 01:00:25,369 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:25,635 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"cultur\"\n", + "2019-01-31 01:00:25,636 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.043*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"english\" + 0.018*\"player\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:00:25,637 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:00:25,638 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:00:25,639 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:00:25,645 : INFO : topic diff=0.003997, rho=0.027853\n", + "2019-01-31 01:00:28,287 : INFO : -11.600 per-word bound, 3104.7 perplexity estimate based on a held-out corpus of 2000 documents with 542959 words\n", + "2019-01-31 01:00:28,287 : INFO : PROGRESS: pass 0, at document #2580000/4922894\n", + "2019-01-31 01:00:29,646 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:29,912 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.019*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:00:29,913 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:00:29,914 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.010*\"bahá\"\n", + "2019-01-31 01:00:29,915 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.027*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:00:29,916 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.022*\"factor\" + 0.012*\"feel\" + 0.012*\"adulthood\" + 0.011*\"plaisir\" + 0.011*\"male\" + 0.010*\"genu\" + 0.008*\"western\" + 0.008*\"biom\" + 0.008*\"median\"\n", + "2019-01-31 01:00:29,922 : INFO : topic diff=0.004202, rho=0.027842\n", + "2019-01-31 01:00:30,077 : INFO : PROGRESS: pass 0, at document #2582000/4922894\n", + "2019-01-31 01:00:31,454 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:31,721 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\" + 0.008*\"vacant\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:00:31,722 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.022*\"factor\" + 0.012*\"feel\" + 0.012*\"adulthood\" + 0.011*\"plaisir\" + 0.011*\"male\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 01:00:31,723 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:00:31,724 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.027*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"rainfal\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:00:31,724 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:00:31,730 : INFO : topic diff=0.003672, rho=0.027832\n", + "2019-01-31 01:00:31,887 : INFO : PROGRESS: pass 0, at document #2584000/4922894\n", + "2019-01-31 01:00:33,264 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:33,530 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.066*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.019*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:00:33,531 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.027*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"rainfal\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:00:33,532 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.017*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\" + 0.008*\"foam\"\n", + "2019-01-31 01:00:33,533 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.041*\"sovereignti\" + 0.032*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.017*\"unfortun\" + 0.014*\"turin\"\n", + "2019-01-31 01:00:33,534 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"sens\" + 0.077*\"octob\" + 0.074*\"januari\" + 0.071*\"juli\" + 0.070*\"august\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.068*\"april\" + 0.067*\"decatur\"\n", + "2019-01-31 01:00:33,540 : INFO : topic diff=0.003920, rho=0.027821\n", + "2019-01-31 01:00:33,690 : INFO : PROGRESS: pass 0, at document #2586000/4922894\n", + "2019-01-31 01:00:35,038 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:35,305 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.009*\"septemb\" + 0.009*\"man\" + 0.009*\"comic\" + 0.008*\"anim\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"storag\"\n", + "2019-01-31 01:00:35,306 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:00:35,307 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.016*\"swedish\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.015*\"damag\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.012*\"denmark\" + 0.012*\"turkish\" + 0.011*\"danish\"\n", + "2019-01-31 01:00:35,308 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.010*\"bahá\"\n", + "2019-01-31 01:00:35,310 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 01:00:35,315 : INFO : topic diff=0.004344, rho=0.027810\n", + "2019-01-31 01:00:35,475 : INFO : PROGRESS: pass 0, at document #2588000/4922894\n", + "2019-01-31 01:00:36,869 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:37,136 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.011*\"north\"\n", + "2019-01-31 01:00:37,137 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:00:37,138 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"john\" + 0.012*\"daughter\"\n", + "2019-01-31 01:00:37,139 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"carlo\"\n", + "2019-01-31 01:00:37,140 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:00:37,146 : INFO : topic diff=0.004034, rho=0.027799\n", + "2019-01-31 01:00:37,362 : INFO : PROGRESS: pass 0, at document #2590000/4922894\n", + "2019-01-31 01:00:38,758 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:39,024 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:00:39,025 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:00:39,026 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.043*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:00:39,027 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:00:39,028 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:00:39,034 : INFO : topic diff=0.005270, rho=0.027789\n", + "2019-01-31 01:00:39,185 : INFO : PROGRESS: pass 0, at document #2592000/4922894\n", + "2019-01-31 01:00:40,544 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:40,810 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.043*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:00:40,812 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"warmth\" + 0.017*\"lagrang\" + 0.017*\"area\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:00:40,813 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.039*\"struggl\" + 0.031*\"high\" + 0.031*\"educ\" + 0.025*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"gothic\" + 0.009*\"class\"\n", + "2019-01-31 01:00:40,814 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:00:40,815 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"francisco\"\n", + "2019-01-31 01:00:40,821 : INFO : topic diff=0.004560, rho=0.027778\n", + "2019-01-31 01:00:40,973 : INFO : PROGRESS: pass 0, at document #2594000/4922894\n", + "2019-01-31 01:00:42,324 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:42,591 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.015*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:00:42,592 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"francisco\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:00:42,593 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.066*\"best\" + 0.033*\"yawn\" + 0.031*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.019*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:00:42,594 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.017*\"area\" + 0.017*\"warmth\" + 0.017*\"lagrang\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:00:42,595 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.015*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:00:42,601 : INFO : topic diff=0.004290, rho=0.027767\n", + "2019-01-31 01:00:42,756 : INFO : PROGRESS: pass 0, at document #2596000/4922894\n", + "2019-01-31 01:00:44,124 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:44,391 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"cultur\"\n", + "2019-01-31 01:00:44,392 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.018*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:00:44,393 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.011*\"briarwood\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 01:00:44,394 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"sri\" + 0.009*\"khalsa\" + 0.009*\"affection\"\n", + "2019-01-31 01:00:44,395 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.012*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:00:44,401 : INFO : topic diff=0.003818, rho=0.027756\n", + "2019-01-31 01:00:44,561 : INFO : PROGRESS: pass 0, at document #2598000/4922894\n", + "2019-01-31 01:00:45,976 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:46,243 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:00:46,244 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"yawn\" + 0.010*\"folei\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:00:46,245 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.018*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:00:46,246 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"violent\"\n", + "2019-01-31 01:00:46,247 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:00:46,253 : INFO : topic diff=0.004088, rho=0.027746\n", + "2019-01-31 01:00:48,972 : INFO : -11.393 per-word bound, 2688.5 perplexity estimate based on a held-out corpus of 2000 documents with 584820 words\n", + "2019-01-31 01:00:48,972 : INFO : PROGRESS: pass 0, at document #2600000/4922894\n", + "2019-01-31 01:00:50,359 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:50,626 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.024*\"schuster\" + 0.022*\"requir\" + 0.021*\"institut\" + 0.019*\"collector\" + 0.018*\"student\" + 0.016*\"professor\" + 0.013*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:00:50,627 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.014*\"italian\" + 0.013*\"soviet\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"francisco\"\n", + "2019-01-31 01:00:50,628 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.009*\"khalsa\" + 0.009*\"affection\"\n", + "2019-01-31 01:00:50,629 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:00:50,630 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.039*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:00:50,637 : INFO : topic diff=0.004798, rho=0.027735\n", + "2019-01-31 01:00:50,797 : INFO : PROGRESS: pass 0, at document #2602000/4922894\n", + "2019-01-31 01:00:52,196 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:52,463 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.034*\"raid\" + 0.026*\"arsen\" + 0.023*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.016*\"rosenwald\" + 0.012*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:00:52,464 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"have\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:00:52,465 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.021*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.013*\"liber\"\n", + "2019-01-31 01:00:52,466 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:00:52,467 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.012*\"feel\" + 0.011*\"plaisir\" + 0.011*\"adulthood\" + 0.011*\"male\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 01:00:52,473 : INFO : topic diff=0.003857, rho=0.027724\n", + "2019-01-31 01:00:52,626 : INFO : PROGRESS: pass 0, at document #2604000/4922894\n", + "2019-01-31 01:00:53,968 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:54,234 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:00:54,235 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.019*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:00:54,236 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:00:54,237 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.015*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:00:54,238 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:00:54,244 : INFO : topic diff=0.003731, rho=0.027714\n", + "2019-01-31 01:00:54,400 : INFO : PROGRESS: pass 0, at document #2606000/4922894\n", + "2019-01-31 01:00:55,767 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:56,033 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"have\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:00:56,035 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.011*\"movi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:00:56,036 : INFO : topic #26 (0.020): 0.028*\"woman\" + 0.028*\"workplac\" + 0.028*\"champion\" + 0.027*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"rainfal\" + 0.017*\"atheist\"\n", + "2019-01-31 01:00:56,036 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:00:56,037 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.043*\"popolo\" + 0.042*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.019*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:00:56,043 : INFO : topic diff=0.003342, rho=0.027703\n", + "2019-01-31 01:00:56,196 : INFO : PROGRESS: pass 0, at document #2608000/4922894\n", + "2019-01-31 01:00:57,545 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:57,811 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.016*\"stop\" + 0.014*\"damag\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"denmark\" + 0.011*\"danish\" + 0.011*\"turkish\"\n", + "2019-01-31 01:00:57,812 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.015*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"john\" + 0.012*\"daughter\"\n", + "2019-01-31 01:00:57,813 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.040*\"struggl\" + 0.031*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.009*\"class\"\n", + "2019-01-31 01:00:57,814 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.043*\"popolo\" + 0.042*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.025*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:00:57,815 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.011*\"movi\"\n", + "2019-01-31 01:00:57,821 : INFO : topic diff=0.004042, rho=0.027692\n", + "2019-01-31 01:00:57,978 : INFO : PROGRESS: pass 0, at document #2610000/4922894\n", + "2019-01-31 01:00:59,353 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:00:59,619 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.040*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.017*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:00:59,620 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.079*\"sens\" + 0.078*\"octob\" + 0.075*\"januari\" + 0.073*\"juli\" + 0.072*\"august\" + 0.071*\"notion\" + 0.071*\"judici\" + 0.070*\"april\" + 0.069*\"decatur\"\n", + "2019-01-31 01:00:59,621 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"have\" + 0.006*\"treat\"\n", + "2019-01-31 01:00:59,622 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.023*\"factor\" + 0.011*\"feel\" + 0.011*\"plaisir\" + 0.011*\"adulthood\" + 0.011*\"genu\" + 0.010*\"male\" + 0.008*\"biom\" + 0.008*\"western\" + 0.008*\"median\"\n", + "2019-01-31 01:00:59,623 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:00:59,630 : INFO : topic diff=0.003716, rho=0.027682\n", + "2019-01-31 01:00:59,783 : INFO : PROGRESS: pass 0, at document #2612000/4922894\n", + "2019-01-31 01:01:01,149 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:01,415 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"acrimoni\" + 0.011*\"movi\" + 0.010*\"direct\"\n", + "2019-01-31 01:01:01,416 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"taxpay\" + 0.021*\"candid\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"tornado\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.010*\"squatter\"\n", + "2019-01-31 01:01:01,418 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:01:01,419 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"rainfal\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:01:01,419 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.079*\"sens\" + 0.078*\"octob\" + 0.075*\"januari\" + 0.073*\"juli\" + 0.072*\"august\" + 0.071*\"notion\" + 0.071*\"judici\" + 0.070*\"april\" + 0.069*\"decatur\"\n", + "2019-01-31 01:01:01,425 : INFO : topic diff=0.004119, rho=0.027671\n", + "2019-01-31 01:01:01,577 : INFO : PROGRESS: pass 0, at document #2614000/4922894\n", + "2019-01-31 01:01:02,926 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:03,192 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"taxpay\" + 0.021*\"candid\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.010*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:01:03,193 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:01:03,194 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"have\"\n", + "2019-01-31 01:01:03,195 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.014*\"quebec\"\n", + "2019-01-31 01:01:03,197 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:01:03,203 : INFO : topic diff=0.004697, rho=0.027661\n", + "2019-01-31 01:01:03,363 : INFO : PROGRESS: pass 0, at document #2616000/4922894\n", + "2019-01-31 01:01:04,777 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:05,043 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"encyclopedia\" + 0.006*\"develop\"\n", + "2019-01-31 01:01:05,045 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.021*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:01:05,046 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"sri\" + 0.011*\"muskoge\" + 0.010*\"tajikistan\" + 0.009*\"affection\"\n", + "2019-01-31 01:01:05,047 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:01:05,048 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:01:05,054 : INFO : topic diff=0.004615, rho=0.027650\n", + "2019-01-31 01:01:05,207 : INFO : PROGRESS: pass 0, at document #2618000/4922894\n", + "2019-01-31 01:01:06,567 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:06,834 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.043*\"popolo\" + 0.041*\"vigour\" + 0.037*\"tortur\" + 0.032*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:01:06,835 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:01:06,836 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.011*\"blind\" + 0.010*\"pain\" + 0.009*\"depress\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:01:06,837 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:01:06,838 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:01:06,844 : INFO : topic diff=0.003545, rho=0.027639\n", + "2019-01-31 01:01:09,520 : INFO : -11.563 per-word bound, 3025.0 perplexity estimate based on a held-out corpus of 2000 documents with 519730 words\n", + "2019-01-31 01:01:09,520 : INFO : PROGRESS: pass 0, at document #2620000/4922894\n", + "2019-01-31 01:01:10,899 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:11,166 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.027*\"arsen\" + 0.023*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.016*\"rosenwald\" + 0.013*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:01:11,167 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.015*\"leah\" + 0.015*\"taiwan\" + 0.014*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 01:01:11,168 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.012*\"centuri\" + 0.009*\"historiographi\" + 0.009*\"relationship\" + 0.009*\"poll\"\n", + "2019-01-31 01:01:11,169 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:01:11,170 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:01:11,176 : INFO : topic diff=0.003525, rho=0.027629\n", + "2019-01-31 01:01:11,337 : INFO : PROGRESS: pass 0, at document #2622000/4922894\n", + "2019-01-31 01:01:13,198 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:13,464 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:01:13,465 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:01:13,466 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.029*\"priest\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.018*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.014*\"portugues\" + 0.014*\"order\" + 0.014*\"brazil\"\n", + "2019-01-31 01:01:13,467 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:01:13,468 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:01:13,474 : INFO : topic diff=0.004504, rho=0.027618\n", + "2019-01-31 01:01:13,692 : INFO : PROGRESS: pass 0, at document #2624000/4922894\n", + "2019-01-31 01:01:15,087 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:15,352 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:01:15,353 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.021*\"institut\" + 0.019*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.013*\"http\" + 0.012*\"word\" + 0.012*\"degre\"\n", + "2019-01-31 01:01:15,354 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.022*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:01:15,355 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.024*\"factor\" + 0.012*\"plaisir\" + 0.011*\"feel\" + 0.011*\"genu\" + 0.010*\"adulthood\" + 0.010*\"male\" + 0.008*\"western\" + 0.008*\"median\" + 0.008*\"biom\"\n", + "2019-01-31 01:01:15,357 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:01:15,362 : INFO : topic diff=0.004411, rho=0.027608\n", + "2019-01-31 01:01:15,521 : INFO : PROGRESS: pass 0, at document #2626000/4922894\n", + "2019-01-31 01:01:16,904 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:17,171 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.039*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:01:17,172 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:01:17,173 : INFO : topic #20 (0.020): 0.138*\"scholar\" + 0.039*\"struggl\" + 0.031*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 01:01:17,174 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.026*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:01:17,175 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.010*\"pain\" + 0.009*\"depress\"\n", + "2019-01-31 01:01:17,181 : INFO : topic diff=0.004979, rho=0.027597\n", + "2019-01-31 01:01:17,341 : INFO : PROGRESS: pass 0, at document #2628000/4922894\n", + "2019-01-31 01:01:18,752 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:19,018 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:01:19,019 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.014*\"taiwan\" + 0.014*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:01:19,020 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.043*\"popolo\" + 0.042*\"vigour\" + 0.037*\"tortur\" + 0.031*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:01:19,021 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:01:19,022 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.010*\"europ\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:01:19,028 : INFO : topic diff=0.004392, rho=0.027587\n", + "2019-01-31 01:01:19,197 : INFO : PROGRESS: pass 0, at document #2630000/4922894\n", + "2019-01-31 01:01:20,624 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:20,890 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"blind\" + 0.010*\"pain\" + 0.009*\"depress\"\n", + "2019-01-31 01:01:20,892 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.024*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:01:20,893 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.023*\"factor\" + 0.012*\"plaisir\" + 0.011*\"feel\" + 0.011*\"genu\" + 0.010*\"adulthood\" + 0.010*\"male\" + 0.008*\"biom\" + 0.008*\"median\" + 0.008*\"western\"\n", + "2019-01-31 01:01:20,894 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.029*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.014*\"order\" + 0.014*\"brazil\" + 0.013*\"portugues\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:01:20,895 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.045*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.015*\"leah\" + 0.015*\"taiwan\" + 0.014*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:01:20,901 : INFO : topic diff=0.004655, rho=0.027576\n", + "2019-01-31 01:01:21,063 : INFO : PROGRESS: pass 0, at document #2632000/4922894\n", + "2019-01-31 01:01:22,484 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:22,750 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"taxpay\" + 0.020*\"candid\" + 0.014*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"landslid\" + 0.010*\"squatter\"\n", + "2019-01-31 01:01:22,751 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"have\" + 0.006*\"treat\"\n", + "2019-01-31 01:01:22,752 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.034*\"perceptu\" + 0.022*\"theater\" + 0.018*\"damn\" + 0.018*\"place\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:01:22,753 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:01:22,755 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.012*\"centuri\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"poll\"\n", + "2019-01-31 01:01:22,760 : INFO : topic diff=0.004501, rho=0.027566\n", + "2019-01-31 01:01:22,923 : INFO : PROGRESS: pass 0, at document #2634000/4922894\n", + "2019-01-31 01:01:24,352 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:24,618 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"vacant\" + 0.009*\"foam\"\n", + "2019-01-31 01:01:24,619 : INFO : topic #2 (0.020): 0.053*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:01:24,620 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.014*\"order\" + 0.013*\"portugues\" + 0.013*\"kingdom\"\n", + "2019-01-31 01:01:24,622 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:01:24,623 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:01:24,628 : INFO : topic diff=0.004843, rho=0.027555\n", + "2019-01-31 01:01:24,790 : INFO : PROGRESS: pass 0, at document #2636000/4922894\n", + "2019-01-31 01:01:26,209 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:26,476 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.009*\"septemb\" + 0.008*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"storag\"\n", + "2019-01-31 01:01:26,477 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.021*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"landslid\" + 0.010*\"squatter\"\n", + "2019-01-31 01:01:26,478 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.014*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 01:01:26,479 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.027*\"arsen\" + 0.024*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.017*\"rosenwald\" + 0.013*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:01:26,480 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.033*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.010*\"tajikistan\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:01:26,486 : INFO : topic diff=0.004382, rho=0.027545\n", + "2019-01-31 01:01:26,647 : INFO : PROGRESS: pass 0, at document #2638000/4922894\n", + "2019-01-31 01:01:28,029 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:28,298 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.043*\"vigour\" + 0.042*\"popolo\" + 0.036*\"tortur\" + 0.031*\"cotton\" + 0.024*\"area\" + 0.024*\"multitud\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:01:28,299 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:01:28,300 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:01:28,301 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 01:01:28,303 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:01:28,308 : INFO : topic diff=0.004108, rho=0.027535\n", + "2019-01-31 01:01:31,013 : INFO : -11.656 per-word bound, 3227.8 perplexity estimate based on a held-out corpus of 2000 documents with 541004 words\n", + "2019-01-31 01:01:31,013 : INFO : PROGRESS: pass 0, at document #2640000/4922894\n", + "2019-01-31 01:01:32,405 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:32,672 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.034*\"perceptu\" + 0.022*\"theater\" + 0.018*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:01:32,673 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:01:32,674 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.011*\"movi\"\n", + "2019-01-31 01:01:32,676 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:01:32,677 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:01:32,683 : INFO : topic diff=0.003775, rho=0.027524\n", + "2019-01-31 01:01:32,843 : INFO : PROGRESS: pass 0, at document #2642000/4922894\n", + "2019-01-31 01:01:34,253 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:34,520 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.010*\"pain\" + 0.010*\"blind\" + 0.009*\"depress\"\n", + "2019-01-31 01:01:34,521 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.024*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:01:34,522 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.015*\"shirin\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.013*\"taiwan\"\n", + "2019-01-31 01:01:34,523 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.038*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"personifi\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:01:34,524 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.013*\"bypass\" + 0.013*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 01:01:34,529 : INFO : topic diff=0.004781, rho=0.027514\n", + "2019-01-31 01:01:34,689 : INFO : PROGRESS: pass 0, at document #2644000/4922894\n", + "2019-01-31 01:01:36,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:36,355 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:01:36,356 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.016*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:01:36,357 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:01:36,358 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.020*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.011*\"landslid\"\n", + "2019-01-31 01:01:36,359 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:01:36,365 : INFO : topic diff=0.004381, rho=0.027503\n", + "2019-01-31 01:01:36,524 : INFO : PROGRESS: pass 0, at document #2646000/4922894\n", + "2019-01-31 01:01:37,916 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:38,184 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"personifi\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 01:01:38,185 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"nation\" + 0.022*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:01:38,186 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.023*\"hoar\" + 0.023*\"toronto\" + 0.020*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"novotná\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:01:38,187 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:01:38,188 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.014*\"italian\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:01:38,194 : INFO : topic diff=0.003199, rho=0.027493\n", + "2019-01-31 01:01:38,352 : INFO : PROGRESS: pass 0, at document #2648000/4922894\n", + "2019-01-31 01:01:39,736 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:40,003 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.028*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:01:40,004 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:01:40,005 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.043*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.031*\"cotton\" + 0.024*\"multitud\" + 0.024*\"area\" + 0.021*\"citi\" + 0.020*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:01:40,006 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:01:40,007 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.027*\"arsen\" + 0.024*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.018*\"rosenwald\" + 0.012*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:01:40,013 : INFO : topic diff=0.004189, rho=0.027482\n", + "2019-01-31 01:01:40,167 : INFO : PROGRESS: pass 0, at document #2650000/4922894\n", + "2019-01-31 01:01:41,538 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:41,808 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:01:41,809 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:01:41,810 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.014*\"italian\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:01:41,811 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.024*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:01:41,812 : INFO : topic #46 (0.020): 0.017*\"norwai\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.016*\"stop\" + 0.015*\"damag\" + 0.013*\"norwegian\" + 0.013*\"wind\" + 0.011*\"turkish\" + 0.011*\"treeless\" + 0.011*\"turkei\"\n", + "2019-01-31 01:01:41,818 : INFO : topic diff=0.004307, rho=0.027472\n", + "2019-01-31 01:01:41,976 : INFO : PROGRESS: pass 0, at document #2652000/4922894\n", + "2019-01-31 01:01:43,368 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:43,635 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:01:43,636 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.023*\"factor\" + 0.012*\"plaisir\" + 0.012*\"feel\" + 0.011*\"male\" + 0.010*\"genu\" + 0.010*\"adulthood\" + 0.008*\"median\" + 0.008*\"western\" + 0.008*\"biom\"\n", + "2019-01-31 01:01:43,637 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"foam\"\n", + "2019-01-31 01:01:43,638 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"find\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.011*\"squatter\" + 0.011*\"landslid\"\n", + "2019-01-31 01:01:43,639 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.013*\"jewish\" + 0.013*\"israel\" + 0.013*\"der\" + 0.010*\"europ\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:01:43,646 : INFO : topic diff=0.004178, rho=0.027462\n", + "2019-01-31 01:01:43,861 : INFO : PROGRESS: pass 0, at document #2654000/4922894\n", + "2019-01-31 01:01:45,254 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:45,520 : INFO : topic #16 (0.020): 0.049*\"king\" + 0.030*\"priest\" + 0.021*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"brazil\" + 0.013*\"order\"\n", + "2019-01-31 01:01:45,521 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"woman\" + 0.028*\"champion\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.019*\"event\" + 0.019*\"atheist\" + 0.019*\"alic\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:01:45,522 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.017*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:01:45,523 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:01:45,524 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.021*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.012*\"centuri\" + 0.009*\"historiographi\" + 0.009*\"relationship\" + 0.009*\"poll\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:01:45,530 : INFO : topic diff=0.003964, rho=0.027451\n", + "2019-01-31 01:01:45,685 : INFO : PROGRESS: pass 0, at document #2656000/4922894\n", + "2019-01-31 01:01:47,060 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:47,327 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:01:47,328 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.028*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:01:47,329 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:01:47,330 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:01:47,331 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.015*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"winner\"\n", + "2019-01-31 01:01:47,337 : INFO : topic diff=0.003786, rho=0.027441\n", + "2019-01-31 01:01:47,491 : INFO : PROGRESS: pass 0, at document #2658000/4922894\n", + "2019-01-31 01:01:48,834 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:49,101 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.020*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"landslid\" + 0.010*\"squatter\"\n", + "2019-01-31 01:01:49,102 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.035*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:01:49,103 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:01:49,104 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"life\" + 0.012*\"john\"\n", + "2019-01-31 01:01:49,105 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.019*\"ontario\" + 0.016*\"novotná\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:01:49,111 : INFO : topic diff=0.004013, rho=0.027431\n", + "2019-01-31 01:01:51,765 : INFO : -11.632 per-word bound, 3173.2 perplexity estimate based on a held-out corpus of 2000 documents with 553630 words\n", + "2019-01-31 01:01:51,765 : INFO : PROGRESS: pass 0, at document #2660000/4922894\n", + "2019-01-31 01:01:53,126 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:53,392 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.020*\"dutch\" + 0.018*\"english\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:01:53,394 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:01:53,395 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.019*\"event\" + 0.019*\"alic\" + 0.019*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:01:53,396 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.020*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.012*\"fool\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:01:53,397 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:01:53,403 : INFO : topic diff=0.004514, rho=0.027420\n", + "2019-01-31 01:01:53,564 : INFO : PROGRESS: pass 0, at document #2662000/4922894\n", + "2019-01-31 01:01:54,975 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:55,242 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:01:55,243 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"method\"\n", + "2019-01-31 01:01:55,244 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:01:55,245 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.014*\"italian\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:01:55,246 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:01:55,252 : INFO : topic diff=0.004491, rho=0.027410\n", + "2019-01-31 01:01:55,405 : INFO : PROGRESS: pass 0, at document #2664000/4922894\n", + "2019-01-31 01:01:56,765 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:57,032 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"record\" + 0.011*\"pain\" + 0.010*\"blind\" + 0.009*\"depress\"\n", + "2019-01-31 01:01:57,033 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.022*\"alic\" + 0.021*\"medal\" + 0.019*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:01:57,034 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"taxpay\" + 0.021*\"candid\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:01:57,035 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"method\"\n", + "2019-01-31 01:01:57,036 : INFO : topic #46 (0.020): 0.017*\"norwai\" + 0.016*\"swedish\" + 0.016*\"sweden\" + 0.016*\"stop\" + 0.015*\"damag\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.011*\"turkish\" + 0.011*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 01:01:57,042 : INFO : topic diff=0.004277, rho=0.027400\n", + "2019-01-31 01:01:57,196 : INFO : PROGRESS: pass 0, at document #2666000/4922894\n", + "2019-01-31 01:01:58,554 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:01:58,821 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"method\"\n", + "2019-01-31 01:01:58,822 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.016*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"encyclopedia\"\n", + "2019-01-31 01:01:58,823 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:01:58,824 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:01:58,825 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.013*\"bypass\" + 0.013*\"report\" + 0.013*\"selma\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:01:58,830 : INFO : topic diff=0.004350, rho=0.027390\n", + "2019-01-31 01:01:58,987 : INFO : PROGRESS: pass 0, at document #2668000/4922894\n", + "2019-01-31 01:02:00,372 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:00,638 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.020*\"dutch\" + 0.018*\"english\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:02:00,639 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:02:00,640 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.022*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:02:00,641 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n", + "2019-01-31 01:02:00,642 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.022*\"noll\" + 0.022*\"japanes\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:02:00,648 : INFO : topic diff=0.003914, rho=0.027379\n", + "2019-01-31 01:02:00,799 : INFO : PROGRESS: pass 0, at document #2670000/4922894\n", + "2019-01-31 01:02:02,142 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:02,410 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n", + "2019-01-31 01:02:02,411 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:02:02,412 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"candid\" + 0.020*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:02:02,413 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:02:02,414 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:02:02,420 : INFO : topic diff=0.004387, rho=0.027369\n", + "2019-01-31 01:02:02,576 : INFO : PROGRESS: pass 0, at document #2672000/4922894\n", + "2019-01-31 01:02:03,958 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:04,226 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:02:04,228 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:02:04,229 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.022*\"noll\" + 0.022*\"japanes\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:02:04,230 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.026*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:02:04,231 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:02:04,237 : INFO : topic diff=0.003681, rho=0.027359\n", + "2019-01-31 01:02:04,397 : INFO : PROGRESS: pass 0, at document #2674000/4922894\n", + "2019-01-31 01:02:05,785 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:06,051 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.033*\"raid\" + 0.026*\"arsen\" + 0.023*\"museo\" + 0.020*\"traceabl\" + 0.019*\"rosenwald\" + 0.018*\"serv\" + 0.012*\"oper\" + 0.011*\"exhaust\"\n", + "2019-01-31 01:02:06,052 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.020*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:02:06,053 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.045*\"american\" + 0.026*\"valour\" + 0.019*\"dutch\" + 0.018*\"english\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:02:06,054 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:06,055 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:02:06,061 : INFO : topic diff=0.005288, rho=0.027349\n", + "2019-01-31 01:02:06,218 : INFO : PROGRESS: pass 0, at document #2676000/4922894\n", + "2019-01-31 01:02:07,594 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:07,861 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:02:07,862 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:02:07,863 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.011*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:02:07,864 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:02:07,865 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:07,872 : INFO : topic diff=0.004575, rho=0.027338\n", + "2019-01-31 01:02:08,028 : INFO : PROGRESS: pass 0, at document #2678000/4922894\n", + "2019-01-31 01:02:09,381 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:09,648 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.045*\"canadian\" + 0.024*\"hoar\" + 0.022*\"toronto\" + 0.020*\"ontario\" + 0.016*\"novotná\" + 0.016*\"hydrogen\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:02:09,648 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.024*\"alic\" + 0.021*\"medal\" + 0.019*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:02:09,649 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.009*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 01:02:09,650 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.021*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.013*\"bypass\" + 0.013*\"report\" + 0.012*\"seaport\"\n", + "2019-01-31 01:02:09,651 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:09,657 : INFO : topic diff=0.003942, rho=0.027328\n", + "2019-01-31 01:02:12,295 : INFO : -11.608 per-word bound, 3121.9 perplexity estimate based on a held-out corpus of 2000 documents with 542997 words\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:02:12,295 : INFO : PROGRESS: pass 0, at document #2680000/4922894\n", + "2019-01-31 01:02:13,649 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:13,915 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.009*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:02:13,916 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:02:13,917 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:02:13,918 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.013*\"bypass\" + 0.013*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:02:13,919 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.022*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:02:13,925 : INFO : topic diff=0.004059, rho=0.027318\n", + "2019-01-31 01:02:14,077 : INFO : PROGRESS: pass 0, at document #2682000/4922894\n", + "2019-01-31 01:02:15,434 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:15,701 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.011*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:02:15,702 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:02:15,703 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.014*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:02:15,704 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.030*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:15,705 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:02:15,711 : INFO : topic diff=0.004733, rho=0.027308\n", + "2019-01-31 01:02:15,862 : INFO : PROGRESS: pass 0, at document #2684000/4922894\n", + "2019-01-31 01:02:17,213 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:17,479 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.011*\"televis\" + 0.011*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"affection\" + 0.010*\"sri\"\n", + "2019-01-31 01:02:17,480 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.018*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"pain\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\"\n", + "2019-01-31 01:02:17,481 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.022*\"noll\" + 0.022*\"japanes\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.018*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:02:17,482 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"encyclopedia\"\n", + "2019-01-31 01:02:17,483 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:02:17,489 : INFO : topic diff=0.004078, rho=0.027298\n", + "2019-01-31 01:02:17,700 : INFO : PROGRESS: pass 0, at document #2686000/4922894\n", + "2019-01-31 01:02:19,090 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:19,357 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.023*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:02:19,358 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:02:19,359 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 01:02:19,360 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:02:19,361 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:19,367 : INFO : topic diff=0.004325, rho=0.027287\n", + "2019-01-31 01:02:19,524 : INFO : PROGRESS: pass 0, at document #2688000/4922894\n", + "2019-01-31 01:02:20,909 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:21,176 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:02:21,177 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:02:21,178 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:02:21,179 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:02:21,180 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.022*\"toronto\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"novotná\" + 0.015*\"misericordia\" + 0.014*\"new\" + 0.013*\"quebec\"\n", + "2019-01-31 01:02:21,186 : INFO : topic diff=0.003675, rho=0.027277\n", + "2019-01-31 01:02:21,341 : INFO : PROGRESS: pass 0, at document #2690000/4922894\n", + "2019-01-31 01:02:22,713 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:22,980 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.024*\"cortic\" + 0.021*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.013*\"case\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.008*\"rudolf\"\n", + "2019-01-31 01:02:22,981 : INFO : topic #32 (0.020): 0.048*\"district\" + 0.043*\"vigour\" + 0.043*\"popolo\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.024*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"regim\" + 0.019*\"cede\"\n", + "2019-01-31 01:02:22,982 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:02:22,983 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.014*\"centuri\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.008*\"poll\"\n", + "2019-01-31 01:02:22,984 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"workplac\" + 0.006*\"gestur\" + 0.006*\"storag\"\n", + "2019-01-31 01:02:22,990 : INFO : topic diff=0.003863, rho=0.027267\n", + "2019-01-31 01:02:23,146 : INFO : PROGRESS: pass 0, at document #2692000/4922894\n", + "2019-01-31 01:02:24,527 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:02:24,793 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:02:24,794 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"english\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.018*\"player\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:02:24,795 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:02:24,796 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:02:24,797 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:02:24,803 : INFO : topic diff=0.003497, rho=0.027257\n", + "2019-01-31 01:02:24,960 : INFO : PROGRESS: pass 0, at document #2694000/4922894\n", + "2019-01-31 01:02:26,318 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:26,584 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.020*\"illicit\" + 0.018*\"colder\" + 0.015*\"black\" + 0.015*\"western\" + 0.012*\"pain\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\"\n", + "2019-01-31 01:02:26,585 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.027*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.023*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:02:26,586 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:02:26,587 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:02:26,589 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:02:26,595 : INFO : topic diff=0.004308, rho=0.027247\n", + "2019-01-31 01:02:26,749 : INFO : PROGRESS: pass 0, at document #2696000/4922894\n", + "2019-01-31 01:02:28,118 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:28,384 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"love\" + 0.006*\"workplac\" + 0.006*\"gestur\" + 0.006*\"storag\"\n", + "2019-01-31 01:02:28,385 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:02:28,386 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:02:28,387 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:02:28,389 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:02:28,395 : INFO : topic diff=0.005076, rho=0.027237\n", + "2019-01-31 01:02:28,552 : INFO : PROGRESS: pass 0, at document #2698000/4922894\n", + "2019-01-31 01:02:29,924 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:30,191 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"have\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:02:30,192 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.022*\"hong\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.015*\"leah\" + 0.014*\"kim\"\n", + "2019-01-31 01:02:30,193 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"vacant\"\n", + "2019-01-31 01:02:30,194 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:02:30,195 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"sai\" + 0.009*\"bahá\"\n", + "2019-01-31 01:02:30,201 : INFO : topic diff=0.004646, rho=0.027227\n", + "2019-01-31 01:02:32,913 : INFO : -11.879 per-word bound, 3765.6 perplexity estimate based on a held-out corpus of 2000 documents with 556707 words\n", + "2019-01-31 01:02:32,913 : INFO : PROGRESS: pass 0, at document #2700000/4922894\n", + "2019-01-31 01:02:34,307 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:34,573 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:02:34,575 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"bank\" + 0.012*\"busi\" + 0.011*\"million\" + 0.011*\"market\" + 0.010*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:02:34,576 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"spectacl\" + 0.006*\"produc\"\n", + "2019-01-31 01:02:34,577 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.012*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\" + 0.009*\"dai\"\n", + "2019-01-31 01:02:34,578 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.025*\"nation\" + 0.022*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:02:34,584 : INFO : topic diff=0.004004, rho=0.027217\n", + "2019-01-31 01:02:34,739 : INFO : PROGRESS: pass 0, at document #2702000/4922894\n", + "2019-01-31 01:02:36,118 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:36,385 : INFO : topic #5 (0.020): 0.040*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:02:36,386 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.079*\"sens\" + 0.079*\"octob\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.072*\"notion\" + 0.070*\"judici\" + 0.070*\"august\" + 0.069*\"april\" + 0.068*\"decatur\"\n", + "2019-01-31 01:02:36,387 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.027*\"champion\" + 0.027*\"alic\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:02:36,388 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.022*\"factor\" + 0.012*\"plaisir\" + 0.011*\"feel\" + 0.010*\"genu\" + 0.010*\"male\" + 0.009*\"adulthood\" + 0.008*\"median\" + 0.008*\"western\" + 0.007*\"biom\"\n", + "2019-01-31 01:02:36,389 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:02:36,395 : INFO : topic diff=0.003907, rho=0.027206\n", + "2019-01-31 01:02:36,548 : INFO : PROGRESS: pass 0, at document #2704000/4922894\n", + "2019-01-31 01:02:37,895 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:38,162 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.045*\"canadian\" + 0.025*\"hoar\" + 0.021*\"toronto\" + 0.021*\"ontario\" + 0.015*\"novotná\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:02:38,163 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.027*\"champion\" + 0.027*\"alic\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:02:38,164 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.015*\"stop\" + 0.015*\"damag\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.011*\"danish\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:02:38,165 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.065*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.022*\"noll\" + 0.022*\"japanes\" + 0.020*\"women\" + 0.020*\"festiv\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:02:38,166 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:02:38,171 : INFO : topic diff=0.004478, rho=0.027196\n", + "2019-01-31 01:02:38,326 : INFO : PROGRESS: pass 0, at document #2706000/4922894\n", + "2019-01-31 01:02:39,694 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:39,960 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.027*\"hous\" + 0.020*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:02:39,961 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:02:39,962 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"australia\" + 0.025*\"new\" + 0.024*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:02:39,963 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"vacant\"\n", + "2019-01-31 01:02:39,964 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:02:39,970 : INFO : topic diff=0.003706, rho=0.027186\n", + "2019-01-31 01:02:40,123 : INFO : PROGRESS: pass 0, at document #2708000/4922894\n", + "2019-01-31 01:02:41,479 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:41,746 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:02:41,747 : INFO : topic #19 (0.020): 0.015*\"centuri\" + 0.015*\"languag\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.009*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:02:41,748 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 01:02:41,749 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.045*\"canadian\" + 0.025*\"hoar\" + 0.021*\"toronto\" + 0.021*\"ontario\" + 0.016*\"novotná\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:02:41,750 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.027*\"hous\" + 0.020*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"strategist\" + 0.011*\"constitut\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:02:41,756 : INFO : topic diff=0.003404, rho=0.027176\n", + "2019-01-31 01:02:41,910 : INFO : PROGRESS: pass 0, at document #2710000/4922894\n", + "2019-01-31 01:02:43,276 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:43,543 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.023*\"kong\" + 0.023*\"korea\" + 0.023*\"hong\" + 0.018*\"korean\" + 0.015*\"sourc\" + 0.015*\"leah\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:02:43,544 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"israel\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:43,545 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.011*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:02:43,546 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.013*\"case\" + 0.013*\"ricardo\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"rudolf\"\n", + "2019-01-31 01:02:43,547 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.028*\"champion\" + 0.026*\"men\" + 0.025*\"alic\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:02:43,553 : INFO : topic diff=0.004612, rho=0.027166\n", + "2019-01-31 01:02:43,702 : INFO : PROGRESS: pass 0, at document #2712000/4922894\n", + "2019-01-31 01:02:45,030 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:45,296 : INFO : topic #19 (0.020): 0.015*\"centuri\" + 0.014*\"languag\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.009*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:02:45,297 : INFO : topic #32 (0.020): 0.047*\"district\" + 0.043*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.023*\"area\" + 0.023*\"multitud\" + 0.021*\"citi\" + 0.019*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:02:45,298 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"sai\"\n", + "2019-01-31 01:02:45,299 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"taxpay\" + 0.012*\"winner\"\n", + "2019-01-31 01:02:45,300 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"woman\" + 0.027*\"champion\" + 0.025*\"men\" + 0.025*\"alic\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:02:45,306 : INFO : topic diff=0.004241, rho=0.027156\n", + "2019-01-31 01:02:45,463 : INFO : PROGRESS: pass 0, at document #2714000/4922894\n", + "2019-01-31 01:02:46,851 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:47,117 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.013*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"rudolf\"\n", + "2019-01-31 01:02:47,118 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.019*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:02:47,119 : INFO : topic #48 (0.020): 0.086*\"march\" + 0.079*\"sens\" + 0.078*\"octob\" + 0.073*\"januari\" + 0.072*\"juli\" + 0.071*\"notion\" + 0.070*\"judici\" + 0.070*\"august\" + 0.069*\"april\" + 0.067*\"decatur\"\n", + "2019-01-31 01:02:47,120 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.027*\"hous\" + 0.020*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:02:47,121 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.038*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 01:02:47,127 : INFO : topic diff=0.004319, rho=0.027146\n", + "2019-01-31 01:02:47,283 : INFO : PROGRESS: pass 0, at document #2716000/4922894\n", + "2019-01-31 01:02:48,660 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:48,926 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.038*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 01:02:48,927 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:02:48,928 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:02:48,929 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"storag\"\n", + "2019-01-31 01:02:48,930 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.072*\"januari\" + 0.071*\"juli\" + 0.070*\"notion\" + 0.070*\"judici\" + 0.069*\"august\" + 0.068*\"april\" + 0.067*\"decatur\"\n", + "2019-01-31 01:02:48,936 : INFO : topic diff=0.004555, rho=0.027136\n", + "2019-01-31 01:02:49,095 : INFO : PROGRESS: pass 0, at document #2718000/4922894\n", + "2019-01-31 01:02:50,489 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:50,756 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.027*\"hous\" + 0.020*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:02:50,757 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\" + 0.009*\"hot\"\n", + "2019-01-31 01:02:50,758 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:02:50,759 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:02:50,760 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.021*\"taxpay\" + 0.014*\"ret\" + 0.014*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:02:50,766 : INFO : topic diff=0.004202, rho=0.027126\n", + "2019-01-31 01:02:53,395 : INFO : -11.589 per-word bound, 3080.4 perplexity estimate based on a held-out corpus of 2000 documents with 510275 words\n", + "2019-01-31 01:02:53,396 : INFO : PROGRESS: pass 0, at document #2720000/4922894\n", + "2019-01-31 01:02:54,727 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:54,993 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 01:02:54,994 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:02:54,995 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.038*\"struggl\" + 0.036*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 01:02:54,996 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.013*\"israel\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:54,997 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.022*\"duke\" + 0.019*\"grammat\" + 0.019*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.018*\"quarterli\" + 0.013*\"brazil\" + 0.012*\"kingdom\" + 0.012*\"maria\"\n", + "2019-01-31 01:02:55,003 : INFO : topic diff=0.004335, rho=0.027116\n", + "2019-01-31 01:02:55,161 : INFO : PROGRESS: pass 0, at document #2722000/4922894\n", + "2019-01-31 01:02:56,546 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:56,814 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.018*\"english\" + 0.017*\"polit\" + 0.013*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:02:56,815 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"london\" + 0.024*\"new\" + 0.022*\"england\" + 0.022*\"australian\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:02:56,816 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.013*\"israel\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:02:56,817 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.023*\"personifi\" + 0.022*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 01:02:56,818 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.045*\"line\" + 0.033*\"raid\" + 0.027*\"arsen\" + 0.023*\"museo\" + 0.019*\"traceabl\" + 0.019*\"rosenwald\" + 0.019*\"serv\" + 0.012*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:02:56,824 : INFO : topic diff=0.003329, rho=0.027106\n", + "2019-01-31 01:02:56,981 : INFO : PROGRESS: pass 0, at document #2724000/4922894\n", + "2019-01-31 01:02:58,357 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:02:58,625 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.032*\"rural\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 01:02:58,626 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:02:58,627 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:02:58,628 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:02:58,629 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.053*\"parti\" + 0.023*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.015*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:02:58,635 : INFO : topic diff=0.004157, rho=0.027096\n", + "2019-01-31 01:02:58,801 : INFO : PROGRESS: pass 0, at document #2726000/4922894\n", + "2019-01-31 01:03:00,222 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:00,488 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wreath\"\n", + "2019-01-31 01:03:00,489 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"wind\" + 0.017*\"norwai\" + 0.015*\"stop\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.012*\"danish\" + 0.012*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:03:00,490 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.013*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"relationship\"\n", + "2019-01-31 01:03:00,491 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:03:00,492 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:03:00,498 : INFO : topic diff=0.004914, rho=0.027086\n", + "2019-01-31 01:03:00,657 : INFO : PROGRESS: pass 0, at document #2728000/4922894\n", + "2019-01-31 01:03:02,046 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:02,312 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.024*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:03:02,313 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.057*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.022*\"member\" + 0.015*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"liber\" + 0.013*\"report\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:03:02,314 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.020*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.013*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"relationship\"\n", + "2019-01-31 01:03:02,315 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:03:02,316 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:03:02,322 : INFO : topic diff=0.004180, rho=0.027077\n", + "2019-01-31 01:03:02,479 : INFO : PROGRESS: pass 0, at document #2730000/4922894\n", + "2019-01-31 01:03:03,841 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:04,108 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\" + 0.009*\"dai\"\n", + "2019-01-31 01:03:04,109 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:03:04,111 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:03:04,112 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.045*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.023*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:03:04,113 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 01:03:04,119 : INFO : topic diff=0.004918, rho=0.027067\n", + "2019-01-31 01:03:04,277 : INFO : PROGRESS: pass 0, at document #2732000/4922894\n", + "2019-01-31 01:03:05,669 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:05,935 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 01:03:05,936 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"octob\" + 0.078*\"sens\" + 0.071*\"juli\" + 0.071*\"januari\" + 0.070*\"notion\" + 0.069*\"august\" + 0.068*\"judici\" + 0.068*\"decatur\" + 0.067*\"april\"\n", + "2019-01-31 01:03:05,937 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"isra\"\n", + "2019-01-31 01:03:05,939 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 01:03:05,940 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:03:05,945 : INFO : topic diff=0.004245, rho=0.027057\n", + "2019-01-31 01:03:06,099 : INFO : PROGRESS: pass 0, at document #2734000/4922894\n", + "2019-01-31 01:03:07,450 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:07,717 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"cultur\" + 0.006*\"woman\"\n", + "2019-01-31 01:03:07,719 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 01:03:07,720 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"yard\"\n", + "2019-01-31 01:03:07,721 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 01:03:07,722 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.022*\"factor\" + 0.013*\"plaisir\" + 0.011*\"genu\" + 0.011*\"feel\" + 0.010*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.008*\"adulthood\" + 0.008*\"biom\"\n", + "2019-01-31 01:03:07,728 : INFO : topic diff=0.004264, rho=0.027047\n", + "2019-01-31 01:03:07,883 : INFO : PROGRESS: pass 0, at document #2736000/4922894\n", + "2019-01-31 01:03:09,265 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:09,532 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.012*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 01:03:09,533 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.031*\"rural\" + 0.027*\"poison\" + 0.023*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 01:03:09,534 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.024*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:03:09,535 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.011*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:03:09,536 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:03:09,542 : INFO : topic diff=0.004053, rho=0.027037\n", + "2019-01-31 01:03:09,700 : INFO : PROGRESS: pass 0, at document #2738000/4922894\n", + "2019-01-31 01:03:11,093 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:11,360 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.013*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:03:11,361 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:03:11,362 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.044*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:03:11,363 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.023*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 01:03:11,364 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"isra\"\n", + "2019-01-31 01:03:11,370 : INFO : topic diff=0.003620, rho=0.027027\n", + "2019-01-31 01:03:14,068 : INFO : -11.721 per-word bound, 3375.2 perplexity estimate based on a held-out corpus of 2000 documents with 540851 words\n", + "2019-01-31 01:03:14,068 : INFO : PROGRESS: pass 0, at document #2740000/4922894\n", + "2019-01-31 01:03:15,450 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:15,716 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.008*\"wreath\"\n", + "2019-01-31 01:03:15,717 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.044*\"line\" + 0.032*\"raid\" + 0.026*\"arsen\" + 0.023*\"museo\" + 0.020*\"rosenwald\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.013*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:03:15,718 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.024*\"new\" + 0.024*\"london\" + 0.022*\"australian\" + 0.022*\"england\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.014*\"youth\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:03:15,719 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.071*\"juli\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.069*\"august\" + 0.068*\"judici\" + 0.068*\"decatur\" + 0.067*\"april\"\n", + "2019-01-31 01:03:15,720 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:03:15,726 : INFO : topic diff=0.004130, rho=0.027017\n", + "2019-01-31 01:03:15,888 : INFO : PROGRESS: pass 0, at document #2742000/4922894\n", + "2019-01-31 01:03:17,297 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:17,562 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:03:17,564 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:03:17,565 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"love\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:03:17,566 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"nicola\" + 0.011*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 01:03:17,567 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.045*\"canadian\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.021*\"toronto\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:03:17,573 : INFO : topic diff=0.005132, rho=0.027007\n", + "2019-01-31 01:03:17,728 : INFO : PROGRESS: pass 0, at document #2744000/4922894\n", + "2019-01-31 01:03:19,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:19,355 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.013*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:03:19,356 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 01:03:19,357 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:03:19,358 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:03:19,359 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:03:19,365 : INFO : topic diff=0.004357, rho=0.026997\n", + "2019-01-31 01:03:19,524 : INFO : PROGRESS: pass 0, at document #2746000/4922894\n", + "2019-01-31 01:03:21,267 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:21,534 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.013*\"centuri\" + 0.009*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"relationship\"\n", + "2019-01-31 01:03:21,535 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.007*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:03:21,536 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:03:21,537 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 01:03:21,538 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:03:21,544 : INFO : topic diff=0.004067, rho=0.026988\n", + "2019-01-31 01:03:21,703 : INFO : PROGRESS: pass 0, at document #2748000/4922894\n", + "2019-01-31 01:03:23,091 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:23,357 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:03:23,359 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:03:23,359 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.038*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 01:03:23,361 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.012*\"centuri\" + 0.009*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"relationship\"\n", + "2019-01-31 01:03:23,362 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"cultur\"\n", + "2019-01-31 01:03:23,367 : INFO : topic diff=0.004250, rho=0.026978\n", + "2019-01-31 01:03:23,583 : INFO : PROGRESS: pass 0, at document #2750000/4922894\n", + "2019-01-31 01:03:24,968 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:25,234 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"isra\"\n", + "2019-01-31 01:03:25,235 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.032*\"raid\" + 0.026*\"arsen\" + 0.023*\"museo\" + 0.020*\"rosenwald\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.013*\"oper\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:03:25,236 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.011*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:03:25,238 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:03:25,239 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 01:03:25,245 : INFO : topic diff=0.003930, rho=0.026968\n", + "2019-01-31 01:03:25,404 : INFO : PROGRESS: pass 0, at document #2752000/4922894\n", + "2019-01-31 01:03:26,789 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:27,056 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.021*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.017*\"gener\" + 0.016*\"start\" + 0.014*\"seri\"\n", + "2019-01-31 01:03:27,057 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 01:03:27,058 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:03:27,059 : INFO : topic #9 (0.020): 0.065*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.019*\"player\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.018*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:03:27,060 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.038*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 01:03:27,066 : INFO : topic diff=0.003851, rho=0.026958\n", + "2019-01-31 01:03:27,223 : INFO : PROGRESS: pass 0, at document #2754000/4922894\n", + "2019-01-31 01:03:28,593 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:28,860 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"method\" + 0.006*\"theoret\"\n", + "2019-01-31 01:03:28,861 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"sweden\" + 0.015*\"norwai\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.012*\"danish\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:03:28,862 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"cultur\"\n", + "2019-01-31 01:03:28,863 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.045*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:03:28,864 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.019*\"illicit\" + 0.016*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"pain\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\"\n", + "2019-01-31 01:03:28,870 : INFO : topic diff=0.005384, rho=0.026948\n", + "2019-01-31 01:03:29,027 : INFO : PROGRESS: pass 0, at document #2756000/4922894\n", + "2019-01-31 01:03:30,422 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:30,688 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:03:30,689 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.023*\"member\" + 0.016*\"liber\" + 0.015*\"polici\" + 0.015*\"republ\" + 0.013*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 01:03:30,690 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.022*\"factor\" + 0.013*\"plaisir\" + 0.011*\"feel\" + 0.011*\"genu\" + 0.010*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.008*\"biom\" + 0.007*\"incom\"\n", + "2019-01-31 01:03:30,691 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.012*\"denmark\" + 0.012*\"danish\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:03:30,692 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.009*\"elabor\" + 0.007*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:03:30,698 : INFO : topic diff=0.003998, rho=0.026939\n", + "2019-01-31 01:03:30,852 : INFO : PROGRESS: pass 0, at document #2758000/4922894\n", + "2019-01-31 01:03:32,211 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:32,478 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:03:32,479 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"championship\"\n", + "2019-01-31 01:03:32,480 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"linear\" + 0.011*\"strategist\" + 0.010*\"depress\"\n", + "2019-01-31 01:03:32,481 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.048*\"american\" + 0.026*\"valour\" + 0.018*\"english\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.016*\"poch\" + 0.012*\"simpler\"\n", + "2019-01-31 01:03:32,482 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.043*\"popolo\" + 0.041*\"vigour\" + 0.036*\"cotton\" + 0.035*\"tortur\" + 0.024*\"area\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.019*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:03:32,488 : INFO : topic diff=0.003665, rho=0.026929\n", + "2019-01-31 01:03:35,176 : INFO : -12.105 per-word bound, 4403.9 perplexity estimate based on a held-out corpus of 2000 documents with 559641 words\n", + "2019-01-31 01:03:35,177 : INFO : PROGRESS: pass 0, at document #2760000/4922894\n", + "2019-01-31 01:03:36,562 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:36,828 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.021*\"factor\" + 0.013*\"plaisir\" + 0.011*\"feel\" + 0.011*\"genu\" + 0.010*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.008*\"biom\" + 0.007*\"incom\"\n", + "2019-01-31 01:03:36,829 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.020*\"del\" + 0.018*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:03:36,831 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.012*\"bank\" + 0.011*\"market\" + 0.011*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:03:36,831 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:03:36,833 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:03:36,838 : INFO : topic diff=0.004872, rho=0.026919\n", + "2019-01-31 01:03:36,998 : INFO : PROGRESS: pass 0, at document #2762000/4922894\n", + "2019-01-31 01:03:38,395 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:38,661 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.015*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:03:38,662 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:03:38,664 : INFO : topic #45 (0.020): 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.019*\"illicit\" + 0.016*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"pain\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\"\n", + "2019-01-31 01:03:38,665 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.043*\"popolo\" + 0.041*\"vigour\" + 0.036*\"cotton\" + 0.035*\"tortur\" + 0.024*\"area\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.019*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:03:38,666 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.010*\"author\"\n", + "2019-01-31 01:03:38,671 : INFO : topic diff=0.004664, rho=0.026909\n", + "2019-01-31 01:03:38,827 : INFO : PROGRESS: pass 0, at document #2764000/4922894\n", + "2019-01-31 01:03:40,214 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:40,480 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"tajikistan\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"sri\"\n", + "2019-01-31 01:03:40,481 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:03:40,482 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:03:40,483 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:03:40,484 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"taxpay\" + 0.013*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 01:03:40,490 : INFO : topic diff=0.004126, rho=0.026900\n", + "2019-01-31 01:03:40,645 : INFO : PROGRESS: pass 0, at document #2766000/4922894\n", + "2019-01-31 01:03:42,012 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:42,279 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:03:42,280 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.043*\"popolo\" + 0.041*\"vigour\" + 0.036*\"cotton\" + 0.035*\"tortur\" + 0.024*\"area\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.019*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:03:42,281 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:03:42,282 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"men\" + 0.024*\"olymp\" + 0.022*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:03:42,283 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.011*\"televis\" + 0.010*\"tajikistan\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:03:42,289 : INFO : topic diff=0.003602, rho=0.026890\n", + "2019-01-31 01:03:42,443 : INFO : PROGRESS: pass 0, at document #2768000/4922894\n", + "2019-01-31 01:03:43,825 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:44,091 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:03:44,093 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.010*\"author\"\n", + "2019-01-31 01:03:44,094 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:03:44,095 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.025*\"palmer\" + 0.022*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:03:44,096 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.012*\"centuri\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:03:44,102 : INFO : topic diff=0.003832, rho=0.026880\n", + "2019-01-31 01:03:44,253 : INFO : PROGRESS: pass 0, at document #2770000/4922894\n", + "2019-01-31 01:03:45,590 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:45,856 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:03:45,857 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"poison\" + 0.025*\"personifi\" + 0.023*\"moscow\" + 0.023*\"reprint\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:03:45,858 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"storag\"\n", + "2019-01-31 01:03:45,859 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.024*\"schuster\" + 0.023*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:03:45,860 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.080*\"octob\" + 0.079*\"sens\" + 0.071*\"juli\" + 0.071*\"januari\" + 0.071*\"august\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.068*\"decatur\" + 0.068*\"april\"\n", + "2019-01-31 01:03:45,866 : INFO : topic diff=0.004574, rho=0.026870\n", + "2019-01-31 01:03:46,026 : INFO : PROGRESS: pass 0, at document #2772000/4922894\n", + "2019-01-31 01:03:47,429 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:47,695 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:03:47,696 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.010*\"elabor\" + 0.010*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:03:47,697 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.032*\"raid\" + 0.025*\"arsen\" + 0.023*\"museo\" + 0.021*\"rosenwald\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.013*\"oper\" + 0.011*\"exhaust\"\n", + "2019-01-31 01:03:47,698 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 01:03:47,700 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"palmer\" + 0.022*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:03:47,705 : INFO : topic diff=0.004350, rho=0.026861\n", + "2019-01-31 01:03:47,861 : INFO : PROGRESS: pass 0, at document #2774000/4922894\n", + "2019-01-31 01:03:49,243 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:49,509 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.023*\"moscow\" + 0.023*\"reprint\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 01:03:49,510 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"illicit\" + 0.016*\"colder\" + 0.015*\"black\" + 0.014*\"western\" + 0.012*\"pain\" + 0.012*\"record\" + 0.010*\"blind\" + 0.009*\"depress\"\n", + "2019-01-31 01:03:49,511 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:03:49,513 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:03:49,514 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.022*\"toronto\" + 0.021*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:03:49,520 : INFO : topic diff=0.003771, rho=0.026851\n", + "2019-01-31 01:03:49,671 : INFO : PROGRESS: pass 0, at document #2776000/4922894\n", + "2019-01-31 01:03:51,045 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:51,311 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"armi\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:03:51,312 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.031*\"priest\" + 0.023*\"duke\" + 0.021*\"idiosyncrat\" + 0.020*\"rotterdam\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.012*\"kingdom\" + 0.012*\"brazil\" + 0.012*\"count\"\n", + "2019-01-31 01:03:51,313 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"lizard\" + 0.011*\"carlo\" + 0.011*\"juan\"\n", + "2019-01-31 01:03:51,314 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.021*\"factor\" + 0.013*\"plaisir\" + 0.011*\"genu\" + 0.010*\"feel\" + 0.009*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.008*\"biom\" + 0.007*\"incom\"\n", + "2019-01-31 01:03:51,315 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.014*\"presid\" + 0.012*\"collect\" + 0.012*\"storag\" + 0.011*\"nicola\" + 0.010*\"author\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:03:51,321 : INFO : topic diff=0.003960, rho=0.026841\n", + "2019-01-31 01:03:51,479 : INFO : PROGRESS: pass 0, at document #2778000/4922894\n", + "2019-01-31 01:03:52,981 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:53,246 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:03:53,248 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:03:53,249 : INFO : topic #46 (0.020): 0.019*\"norwai\" + 0.017*\"sweden\" + 0.016*\"stop\" + 0.016*\"wind\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.012*\"danish\" + 0.012*\"denmark\" + 0.010*\"huntsvil\"\n", + "2019-01-31 01:03:53,250 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"lizard\" + 0.011*\"carlo\" + 0.011*\"juan\"\n", + "2019-01-31 01:03:53,251 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"servitud\" + 0.006*\"poet\" + 0.006*\"measur\"\n", + "2019-01-31 01:03:53,257 : INFO : topic diff=0.004358, rho=0.026832\n", + "2019-01-31 01:03:55,893 : INFO : -11.579 per-word bound, 3060.1 perplexity estimate based on a held-out corpus of 2000 documents with 531217 words\n", + "2019-01-31 01:03:55,893 : INFO : PROGRESS: pass 0, at document #2780000/4922894\n", + "2019-01-31 01:03:57,259 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:57,525 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"winner\"\n", + "2019-01-31 01:03:57,526 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.021*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 01:03:57,527 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.031*\"priest\" + 0.023*\"duke\" + 0.021*\"idiosyncrat\" + 0.020*\"rotterdam\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.012*\"brazil\" + 0.012*\"kingdom\" + 0.012*\"count\"\n", + "2019-01-31 01:03:57,529 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"spectacl\" + 0.006*\"develop\" + 0.006*\"encyclopedia\"\n", + "2019-01-31 01:03:57,530 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"televis\" + 0.010*\"khalsa\" + 0.010*\"affection\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:03:57,535 : INFO : topic diff=0.003553, rho=0.026822\n", + "2019-01-31 01:03:57,749 : INFO : PROGRESS: pass 0, at document #2782000/4922894\n", + "2019-01-31 01:03:59,140 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:03:59,406 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:03:59,408 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:03:59,409 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.031*\"priest\" + 0.023*\"duke\" + 0.021*\"idiosyncrat\" + 0.020*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.012*\"brazil\" + 0.012*\"kingdom\" + 0.012*\"portugues\"\n", + "2019-01-31 01:03:59,410 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:03:59,411 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.022*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:03:59,417 : INFO : topic diff=0.004201, rho=0.026812\n", + "2019-01-31 01:03:59,576 : INFO : PROGRESS: pass 0, at document #2784000/4922894\n", + "2019-01-31 01:04:00,967 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:01,234 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.044*\"line\" + 0.034*\"raid\" + 0.024*\"arsen\" + 0.023*\"museo\" + 0.020*\"rosenwald\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.013*\"oper\" + 0.011*\"exhaust\"\n", + "2019-01-31 01:04:01,235 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"winner\"\n", + "2019-01-31 01:04:01,236 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 01:04:01,237 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.023*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"new\" + 0.015*\"novotná\" + 0.014*\"hydrogen\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:04:01,238 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:04:01,244 : INFO : topic diff=0.004013, rho=0.026803\n", + "2019-01-31 01:04:01,403 : INFO : PROGRESS: pass 0, at document #2786000/4922894\n", + "2019-01-31 01:04:02,795 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:03,061 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.017*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:04:03,063 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"hormon\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:04:03,065 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"summerhil\" + 0.006*\"woman\"\n", + "2019-01-31 01:04:03,066 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:04:03,067 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"spectacl\" + 0.006*\"encyclopedia\" + 0.006*\"produc\"\n", + "2019-01-31 01:04:03,073 : INFO : topic diff=0.004963, rho=0.026793\n", + "2019-01-31 01:04:03,224 : INFO : PROGRESS: pass 0, at document #2788000/4922894\n", + "2019-01-31 01:04:04,694 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:04,960 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:04:04,962 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:04:04,963 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.030*\"priest\" + 0.023*\"duke\" + 0.020*\"idiosyncrat\" + 0.020*\"rotterdam\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.013*\"brazil\" + 0.012*\"kingdom\" + 0.012*\"portugues\"\n", + "2019-01-31 01:04:04,964 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.011*\"strategist\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 01:04:04,965 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.010*\"author\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:04:04,971 : INFO : topic diff=0.003588, rho=0.026784\n", + "2019-01-31 01:04:05,129 : INFO : PROGRESS: pass 0, at document #2790000/4922894\n", + "2019-01-31 01:04:06,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:06,800 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:04:06,801 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:04:06,802 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:04:06,803 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:04:06,804 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.026*\"australia\" + 0.024*\"new\" + 0.024*\"london\" + 0.022*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:04:06,810 : INFO : topic diff=0.004202, rho=0.026774\n", + "2019-01-31 01:04:06,969 : INFO : PROGRESS: pass 0, at document #2792000/4922894\n", + "2019-01-31 01:04:08,367 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:08,634 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.017*\"stop\" + 0.017*\"sweden\" + 0.015*\"wind\" + 0.015*\"damag\" + 0.014*\"swedish\" + 0.014*\"norwegian\" + 0.012*\"denmark\" + 0.011*\"farid\" + 0.011*\"danish\"\n", + "2019-01-31 01:04:08,635 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.021*\"factor\" + 0.013*\"plaisir\" + 0.011*\"genu\" + 0.010*\"feel\" + 0.009*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.007*\"biom\" + 0.007*\"incom\"\n", + "2019-01-31 01:04:08,636 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.017*\"new\" + 0.015*\"novotná\" + 0.015*\"misericordia\" + 0.014*\"hydrogen\" + 0.013*\"quebec\"\n", + "2019-01-31 01:04:08,637 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.012*\"market\" + 0.011*\"million\" + 0.011*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:04:08,638 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.012*\"centuri\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:04:08,644 : INFO : topic diff=0.003997, rho=0.026764\n", + "2019-01-31 01:04:08,806 : INFO : PROGRESS: pass 0, at document #2794000/4922894\n", + "2019-01-31 01:04:10,233 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:10,499 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.021*\"factor\" + 0.013*\"plaisir\" + 0.011*\"genu\" + 0.010*\"feel\" + 0.009*\"male\" + 0.008*\"western\" + 0.008*\"median\" + 0.007*\"biom\" + 0.007*\"incom\"\n", + "2019-01-31 01:04:10,500 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.056*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.022*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:04:10,501 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:04:10,502 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.030*\"priest\" + 0.022*\"duke\" + 0.021*\"idiosyncrat\" + 0.020*\"rotterdam\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.013*\"portugues\" + 0.012*\"brazil\" + 0.012*\"kingdom\"\n", + "2019-01-31 01:04:10,503 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"storag\"\n", + "2019-01-31 01:04:10,509 : INFO : topic diff=0.004727, rho=0.026755\n", + "2019-01-31 01:04:10,668 : INFO : PROGRESS: pass 0, at document #2796000/4922894\n", + "2019-01-31 01:04:12,083 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:12,349 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.074*\"januari\" + 0.072*\"juli\" + 0.070*\"august\" + 0.070*\"notion\" + 0.070*\"judici\" + 0.069*\"april\" + 0.068*\"decatur\"\n", + "2019-01-31 01:04:12,350 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:04:12,351 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:04:12,352 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:04:12,353 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.045*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 01:04:12,359 : INFO : topic diff=0.004487, rho=0.026745\n", + "2019-01-31 01:04:12,518 : INFO : PROGRESS: pass 0, at document #2798000/4922894\n", + "2019-01-31 01:04:13,909 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:14,176 : INFO : topic #35 (0.020): 0.063*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"personifi\" + 0.025*\"poison\" + 0.025*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 01:04:14,177 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.009*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.007*\"diggin\" + 0.007*\"championship\"\n", + "2019-01-31 01:04:14,178 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.012*\"centuri\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:04:14,179 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.046*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 01:04:14,180 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.074*\"januari\" + 0.072*\"juli\" + 0.070*\"august\" + 0.070*\"notion\" + 0.070*\"judici\" + 0.068*\"april\" + 0.068*\"decatur\"\n", + "2019-01-31 01:04:14,186 : INFO : topic diff=0.003417, rho=0.026736\n", + "2019-01-31 01:04:16,870 : INFO : -11.760 per-word bound, 3467.9 perplexity estimate based on a held-out corpus of 2000 documents with 547626 words\n", + "2019-01-31 01:04:16,870 : INFO : PROGRESS: pass 0, at document #2800000/4922894\n", + "2019-01-31 01:04:18,251 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:18,518 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.007*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:04:18,519 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"produc\" + 0.011*\"direct\"\n", + "2019-01-31 01:04:18,520 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.022*\"hoar\" + 0.022*\"toronto\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.014*\"novotná\" + 0.014*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:04:18,521 : INFO : topic #35 (0.020): 0.063*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"personifi\" + 0.025*\"poison\" + 0.025*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 01:04:18,522 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:04:18,528 : INFO : topic diff=0.003759, rho=0.026726\n", + "2019-01-31 01:04:18,690 : INFO : PROGRESS: pass 0, at document #2802000/4922894\n", + "2019-01-31 01:04:20,108 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:20,375 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 01:04:20,376 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:04:20,377 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"storag\"\n", + "2019-01-31 01:04:20,379 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:04:20,380 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"method\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"measur\"\n", + "2019-01-31 01:04:20,385 : INFO : topic diff=0.004402, rho=0.026717\n", + "2019-01-31 01:04:20,540 : INFO : PROGRESS: pass 0, at document #2804000/4922894\n", + "2019-01-31 01:04:21,910 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:22,176 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:04:22,177 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.008*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"cultur\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:04:22,178 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.020*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.011*\"depress\" + 0.010*\"silicon\"\n", + "2019-01-31 01:04:22,179 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"method\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"servitud\"\n", + "2019-01-31 01:04:22,180 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.011*\"sri\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"tajikistan\" + 0.010*\"singh\"\n", + "2019-01-31 01:04:22,186 : INFO : topic diff=0.003843, rho=0.026707\n", + "2019-01-31 01:04:22,341 : INFO : PROGRESS: pass 0, at document #2806000/4922894\n", + "2019-01-31 01:04:23,723 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:23,989 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:04:23,990 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.021*\"factor\" + 0.013*\"plaisir\" + 0.011*\"genu\" + 0.010*\"feel\" + 0.009*\"male\" + 0.008*\"western\" + 0.008*\"median\" + 0.008*\"incom\" + 0.008*\"biom\"\n", + "2019-01-31 01:04:23,991 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:04:23,992 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"sri\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"tajikistan\" + 0.010*\"singh\"\n", + "2019-01-31 01:04:23,993 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.009*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:04:23,999 : INFO : topic diff=0.003960, rho=0.026698\n", + "2019-01-31 01:04:24,155 : INFO : PROGRESS: pass 0, at document #2808000/4922894\n", + "2019-01-31 01:04:25,542 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:25,809 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.011*\"produc\"\n", + "2019-01-31 01:04:25,810 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.074*\"januari\" + 0.072*\"juli\" + 0.070*\"august\" + 0.069*\"notion\" + 0.069*\"judici\" + 0.069*\"april\" + 0.068*\"decatur\"\n", + "2019-01-31 01:04:25,811 : INFO : topic #20 (0.020): 0.139*\"scholar\" + 0.038*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"gothic\" + 0.011*\"district\" + 0.010*\"task\"\n", + "2019-01-31 01:04:25,812 : INFO : topic #27 (0.020): 0.068*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.017*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:04:25,813 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 01:04:25,819 : INFO : topic diff=0.004372, rho=0.026688\n", + "2019-01-31 01:04:25,976 : INFO : PROGRESS: pass 0, at document #2810000/4922894\n", + "2019-01-31 01:04:27,364 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:27,630 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.024*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 01:04:27,631 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:04:27,632 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.022*\"duke\" + 0.020*\"idiosyncrat\" + 0.020*\"rotterdam\" + 0.018*\"grammat\" + 0.016*\"quarterli\" + 0.014*\"count\" + 0.013*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:04:27,633 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:04:27,634 : INFO : topic #35 (0.020): 0.060*\"russia\" + 0.039*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"personifi\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.021*\"moscow\" + 0.019*\"alexand\" + 0.017*\"poland\" + 0.016*\"unfortun\"\n", + "2019-01-31 01:04:27,640 : INFO : topic diff=0.004003, rho=0.026679\n", + "2019-01-31 01:04:27,796 : INFO : PROGRESS: pass 0, at document #2812000/4922894\n", + "2019-01-31 01:04:29,181 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:29,447 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:04:29,448 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.024*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 01:04:29,449 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"jack\"\n", + "2019-01-31 01:04:29,450 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:04:29,451 : INFO : topic #38 (0.020): 0.025*\"walter\" + 0.010*\"aza\" + 0.009*\"empath\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:04:29,457 : INFO : topic diff=0.003786, rho=0.026669\n", + "2019-01-31 01:04:29,668 : INFO : PROGRESS: pass 0, at document #2814000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:04:31,053 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:31,320 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:04:31,321 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:04:31,322 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.027*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.021*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:04:31,323 : INFO : topic #38 (0.020): 0.025*\"walter\" + 0.010*\"aza\" + 0.009*\"empath\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"till\" + 0.006*\"govern\"\n", + "2019-01-31 01:04:31,324 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\" + 0.006*\"differ\"\n", + "2019-01-31 01:04:31,330 : INFO : topic diff=0.003671, rho=0.026660\n", + "2019-01-31 01:04:31,490 : INFO : PROGRESS: pass 0, at document #2816000/4922894\n", + "2019-01-31 01:04:32,901 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:33,168 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"strategist\" + 0.010*\"linear\"\n", + "2019-01-31 01:04:33,169 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:04:33,170 : INFO : topic #46 (0.020): 0.018*\"norwai\" + 0.017*\"stop\" + 0.017*\"sweden\" + 0.015*\"wind\" + 0.015*\"swedish\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.011*\"farid\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:04:33,171 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.010*\"mode\" + 0.010*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:04:33,172 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n", + "2019-01-31 01:04:33,178 : INFO : topic diff=0.005209, rho=0.026650\n", + "2019-01-31 01:04:33,337 : INFO : PROGRESS: pass 0, at document #2818000/4922894\n", + "2019-01-31 01:04:34,732 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:34,998 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"solitari\"\n", + "2019-01-31 01:04:34,999 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.005*\"storag\"\n", + "2019-01-31 01:04:35,000 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:04:35,001 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"storag\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.010*\"author\"\n", + "2019-01-31 01:04:35,002 : INFO : topic #49 (0.020): 0.046*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.011*\"sri\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"affection\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:04:35,008 : INFO : topic diff=0.004168, rho=0.026641\n", + "2019-01-31 01:04:37,758 : INFO : -11.921 per-word bound, 3878.7 perplexity estimate based on a held-out corpus of 2000 documents with 562777 words\n", + "2019-01-31 01:04:37,759 : INFO : PROGRESS: pass 0, at document #2820000/4922894\n", + "2019-01-31 01:04:39,161 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:39,427 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.010*\"feel\" + 0.010*\"genu\" + 0.010*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:04:39,428 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.038*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.021*\"moscow\" + 0.019*\"alexand\" + 0.016*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:04:39,429 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.078*\"octob\" + 0.076*\"sens\" + 0.075*\"januari\" + 0.073*\"juli\" + 0.071*\"notion\" + 0.071*\"judici\" + 0.070*\"august\" + 0.069*\"april\" + 0.069*\"decatur\"\n", + "2019-01-31 01:04:39,430 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:04:39,431 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.011*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:04:39,437 : INFO : topic diff=0.003160, rho=0.026631\n", + "2019-01-31 01:04:39,599 : INFO : PROGRESS: pass 0, at document #2822000/4922894\n", + "2019-01-31 01:04:40,995 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:41,262 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.011*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:04:41,263 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\" + 0.013*\"taxpay\"\n", + "2019-01-31 01:04:41,265 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"market\" + 0.011*\"million\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.009*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"serv\"\n", + "2019-01-31 01:04:41,266 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.056*\"parti\" + 0.025*\"democrat\" + 0.024*\"voluntari\" + 0.022*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:04:41,267 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"western\" + 0.014*\"black\" + 0.014*\"pain\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:04:41,273 : INFO : topic diff=0.004925, rho=0.026622\n", + "2019-01-31 01:04:41,424 : INFO : PROGRESS: pass 0, at document #2824000/4922894\n", + "2019-01-31 01:04:42,775 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:43,041 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.021*\"duke\" + 0.020*\"idiosyncrat\" + 0.020*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 01:04:43,043 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"player\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.017*\"english\" + 0.016*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:04:43,044 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:04:43,045 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:04:43,046 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.015*\"western\" + 0.014*\"black\" + 0.014*\"pain\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:04:43,052 : INFO : topic diff=0.004127, rho=0.026612\n", + "2019-01-31 01:04:43,210 : INFO : PROGRESS: pass 0, at document #2826000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:04:44,578 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:44,847 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:04:44,848 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.022*\"toronto\" + 0.016*\"hydrogen\" + 0.016*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:04:44,849 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 01:04:44,850 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"servitud\" + 0.006*\"differ\"\n", + "2019-01-31 01:04:44,851 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"dixi\"\n", + "2019-01-31 01:04:44,857 : INFO : topic diff=0.004192, rho=0.026603\n", + "2019-01-31 01:04:45,013 : INFO : PROGRESS: pass 0, at document #2828000/4922894\n", + "2019-01-31 01:04:46,390 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:46,656 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:04:46,657 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 01:04:46,659 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.016*\"scot\" + 0.012*\"blur\" + 0.011*\"pope\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.010*\"fleet\"\n", + "2019-01-31 01:04:46,660 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.074*\"januari\" + 0.073*\"juli\" + 0.071*\"notion\" + 0.070*\"judici\" + 0.070*\"august\" + 0.069*\"decatur\" + 0.068*\"april\"\n", + "2019-01-31 01:04:46,661 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:04:46,666 : INFO : topic diff=0.004394, rho=0.026593\n", + "2019-01-31 01:04:46,822 : INFO : PROGRESS: pass 0, at document #2830000/4922894\n", + "2019-01-31 01:04:48,211 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:48,477 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.014*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:04:48,478 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:04:48,479 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.021*\"arsen\" + 0.021*\"museo\" + 0.020*\"traceabl\" + 0.020*\"rosenwald\" + 0.019*\"serv\" + 0.012*\"oper\" + 0.011*\"exhaust\"\n", + "2019-01-31 01:04:48,480 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"mexican\"\n", + "2019-01-31 01:04:48,481 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.038*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.024*\"poison\" + 0.020*\"moscow\" + 0.019*\"alexand\" + 0.017*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:04:48,487 : INFO : topic diff=0.003896, rho=0.026584\n", + "2019-01-31 01:04:48,640 : INFO : PROGRESS: pass 0, at document #2832000/4922894\n", + "2019-01-31 01:04:49,999 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:50,268 : INFO : topic #13 (0.020): 0.027*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:04:50,269 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.036*\"raid\" + 0.021*\"museo\" + 0.021*\"arsen\" + 0.020*\"traceabl\" + 0.019*\"rosenwald\" + 0.019*\"serv\" + 0.012*\"oper\" + 0.011*\"exhaust\"\n", + "2019-01-31 01:04:50,270 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"hydrogen\" + 0.016*\"new\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:04:50,271 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"norwai\" + 0.017*\"sweden\" + 0.015*\"swedish\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.014*\"damag\" + 0.012*\"huntsvil\" + 0.011*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 01:04:50,272 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:04:50,278 : INFO : topic diff=0.003917, rho=0.026575\n", + "2019-01-31 01:04:50,434 : INFO : PROGRESS: pass 0, at document #2834000/4922894\n", + "2019-01-31 01:04:51,808 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:52,074 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"market\" + 0.011*\"million\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.009*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"serv\"\n", + "2019-01-31 01:04:52,075 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.023*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:04:52,076 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.022*\"alic\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 01:04:52,077 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.045*\"canadian\" + 0.023*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:04:52,078 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:04:52,084 : INFO : topic diff=0.003520, rho=0.026565\n", + "2019-01-31 01:04:52,247 : INFO : PROGRESS: pass 0, at document #2836000/4922894\n", + "2019-01-31 01:04:53,655 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:53,924 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.056*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.022*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:04:53,925 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.027*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"japanes\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.018*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:04:53,926 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"western\" + 0.014*\"black\" + 0.014*\"pain\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:04:53,927 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:04:53,928 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.021*\"factor\" + 0.012*\"plaisir\" + 0.010*\"feel\" + 0.010*\"genu\" + 0.010*\"male\" + 0.009*\"median\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:04:53,934 : INFO : topic diff=0.003504, rho=0.026556\n", + "2019-01-31 01:04:54,087 : INFO : PROGRESS: pass 0, at document #2838000/4922894\n", + "2019-01-31 01:04:55,435 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:04:55,702 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:04:55,703 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.043*\"chilton\" + 0.023*\"hong\" + 0.023*\"korea\" + 0.022*\"kong\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"kim\" + 0.016*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:04:55,704 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.021*\"moscow\" + 0.018*\"alexand\" + 0.017*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:04:55,705 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.021*\"factor\" + 0.012*\"plaisir\" + 0.010*\"feel\" + 0.010*\"genu\" + 0.010*\"male\" + 0.009*\"median\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:04:55,706 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.015*\"western\" + 0.014*\"black\" + 0.014*\"pain\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:04:55,712 : INFO : topic diff=0.004200, rho=0.026547\n", + "2019-01-31 01:04:58,414 : INFO : -11.467 per-word bound, 2830.7 perplexity estimate based on a held-out corpus of 2000 documents with 565743 words\n", + "2019-01-31 01:04:58,415 : INFO : PROGRESS: pass 0, at document #2840000/4922894\n", + "2019-01-31 01:04:59,795 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:00,062 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.014*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:05:00,063 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"palmer\" + 0.009*\"north\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"land\"\n", + "2019-01-31 01:05:00,064 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:05:00,066 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:05:00,067 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:05:00,073 : INFO : topic diff=0.003749, rho=0.026537\n", + "2019-01-31 01:05:00,228 : INFO : PROGRESS: pass 0, at document #2842000/4922894\n", + "2019-01-31 01:05:01,599 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:01,866 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"reprint\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.021*\"moscow\" + 0.018*\"alexand\" + 0.018*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:05:01,867 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:05:01,868 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:05:01,869 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:05:01,870 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"hydrogen\" + 0.016*\"new\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:05:01,877 : INFO : topic diff=0.004018, rho=0.026528\n", + "2019-01-31 01:05:02,034 : INFO : PROGRESS: pass 0, at document #2844000/4922894\n", + "2019-01-31 01:05:03,415 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:03,681 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"personifi\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.021*\"moscow\" + 0.018*\"alexand\" + 0.017*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:05:03,683 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:05:03,684 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:05:03,685 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.020*\"idiosyncrat\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 01:05:03,686 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.043*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"kim\" + 0.016*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:05:03,691 : INFO : topic diff=0.003896, rho=0.026519\n", + "2019-01-31 01:05:03,851 : INFO : PROGRESS: pass 0, at document #2846000/4922894\n", + "2019-01-31 01:05:05,240 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:05,507 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:05:05,508 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 01:05:05,509 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:05:05,510 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.011*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.010*\"bahá\"\n", + "2019-01-31 01:05:05,511 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:05:05,517 : INFO : topic diff=0.003716, rho=0.026509\n", + "2019-01-31 01:05:05,731 : INFO : PROGRESS: pass 0, at document #2848000/4922894\n", + "2019-01-31 01:05:07,083 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:07,350 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"pope\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.010*\"bahá\"\n", + "2019-01-31 01:05:07,351 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\" + 0.007*\"diggin\"\n", + "2019-01-31 01:05:07,352 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"australia\" + 0.024*\"new\" + 0.024*\"england\" + 0.021*\"australian\" + 0.019*\"ireland\" + 0.019*\"british\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:05:07,353 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.078*\"sens\" + 0.078*\"octob\" + 0.077*\"januari\" + 0.073*\"juli\" + 0.071*\"judici\" + 0.071*\"notion\" + 0.070*\"august\" + 0.069*\"decatur\" + 0.069*\"april\"\n", + "2019-01-31 01:05:07,354 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.021*\"museo\" + 0.020*\"arsen\" + 0.020*\"rosenwald\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.013*\"oper\" + 0.010*\"exhaust\"\n", + "2019-01-31 01:05:07,360 : INFO : topic diff=0.004339, rho=0.026500\n", + "2019-01-31 01:05:07,514 : INFO : PROGRESS: pass 0, at document #2850000/4922894\n", + "2019-01-31 01:05:08,892 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:09,159 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"open\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:05:09,160 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:05:09,161 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\" + 0.007*\"diggin\"\n", + "2019-01-31 01:05:09,162 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 01:05:09,163 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.050*\"franc\" + 0.034*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"wreath\"\n", + "2019-01-31 01:05:09,169 : INFO : topic diff=0.004088, rho=0.026491\n", + "2019-01-31 01:05:09,325 : INFO : PROGRESS: pass 0, at document #2852000/4922894\n", + "2019-01-31 01:05:10,702 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:10,969 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"depress\" + 0.010*\"linear\"\n", + "2019-01-31 01:05:10,970 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.031*\"unionist\" + 0.031*\"american\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:05:10,971 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.044*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:05:10,973 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"arsen\"\n", + "2019-01-31 01:05:10,974 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"japanes\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:05:10,979 : INFO : topic diff=0.004027, rho=0.026481\n", + "2019-01-31 01:05:11,135 : INFO : PROGRESS: pass 0, at document #2854000/4922894\n", + "2019-01-31 01:05:12,507 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:12,773 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"busi\" + 0.012*\"market\" + 0.012*\"million\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:05:12,775 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.015*\"western\" + 0.014*\"black\" + 0.014*\"pain\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:05:12,776 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.050*\"franc\" + 0.034*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"wreath\"\n", + "2019-01-31 01:05:12,777 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.011*\"sri\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.009*\"alam\"\n", + "2019-01-31 01:05:12,778 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:05:12,784 : INFO : topic diff=0.003710, rho=0.026472\n", + "2019-01-31 01:05:12,941 : INFO : PROGRESS: pass 0, at document #2856000/4922894\n", + "2019-01-31 01:05:14,323 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:14,589 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:05:14,591 : INFO : topic #32 (0.020): 0.048*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.023*\"area\" + 0.021*\"multitud\" + 0.020*\"citi\" + 0.018*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:05:14,592 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:05:14,593 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.042*\"line\" + 0.036*\"raid\" + 0.021*\"rosenwald\" + 0.020*\"museo\" + 0.020*\"traceabl\" + 0.020*\"arsen\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.011*\"radiu\"\n", + "2019-01-31 01:05:14,594 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.015*\"western\" + 0.014*\"black\" + 0.014*\"pain\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:05:14,600 : INFO : topic diff=0.003561, rho=0.026463\n", + "2019-01-31 01:05:14,756 : INFO : PROGRESS: pass 0, at document #2858000/4922894\n", + "2019-01-31 01:05:16,127 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:16,394 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:05:16,395 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.021*\"factor\" + 0.012*\"plaisir\" + 0.010*\"feel\" + 0.010*\"genu\" + 0.009*\"male\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:05:16,396 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.018*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:05:16,397 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.043*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.015*\"quebec\" + 0.015*\"misericordia\" + 0.014*\"novotná\"\n", + "2019-01-31 01:05:16,399 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"dixi\"\n", + "2019-01-31 01:05:16,404 : INFO : topic diff=0.003787, rho=0.026454\n", + "2019-01-31 01:05:19,124 : INFO : -11.694 per-word bound, 3312.7 perplexity estimate based on a held-out corpus of 2000 documents with 571272 words\n", + "2019-01-31 01:05:19,124 : INFO : PROGRESS: pass 0, at document #2860000/4922894\n", + "2019-01-31 01:05:20,519 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:20,786 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.021*\"idiosyncrat\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 01:05:20,787 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"solitari\"\n", + "2019-01-31 01:05:20,788 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.044*\"american\" + 0.028*\"valour\" + 0.019*\"player\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:05:20,789 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"market\" + 0.012*\"million\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:05:20,790 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.042*\"chilton\" + 0.022*\"hong\" + 0.022*\"korea\" + 0.022*\"kong\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.016*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:05:20,796 : INFO : topic diff=0.004324, rho=0.026444\n", + "2019-01-31 01:05:20,953 : INFO : PROGRESS: pass 0, at document #2862000/4922894\n", + "2019-01-31 01:05:22,330 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:22,596 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.012*\"denmark\" + 0.012*\"danish\" + 0.011*\"farid\"\n", + "2019-01-31 01:05:22,597 : INFO : topic #48 (0.020): 0.086*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.076*\"januari\" + 0.071*\"juli\" + 0.071*\"notion\" + 0.069*\"august\" + 0.069*\"judici\" + 0.069*\"decatur\" + 0.067*\"april\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:05:22,598 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.038*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 01:05:22,599 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"differ\" + 0.006*\"theoret\"\n", + "2019-01-31 01:05:22,601 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"produc\"\n", + "2019-01-31 01:05:22,606 : INFO : topic diff=0.004343, rho=0.026435\n", + "2019-01-31 01:05:22,766 : INFO : PROGRESS: pass 0, at document #2864000/4922894\n", + "2019-01-31 01:05:24,151 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:24,417 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"develop\" + 0.006*\"encyclopedia\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:05:24,418 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"produc\"\n", + "2019-01-31 01:05:24,419 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"solitari\"\n", + "2019-01-31 01:05:24,421 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"arsen\"\n", + "2019-01-31 01:05:24,422 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:05:24,428 : INFO : topic diff=0.003659, rho=0.026426\n", + "2019-01-31 01:05:24,584 : INFO : PROGRESS: pass 0, at document #2866000/4922894\n", + "2019-01-31 01:05:25,955 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:26,222 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"palmer\" + 0.009*\"north\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:05:26,223 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"battalion\" + 0.010*\"aza\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:05:26,224 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.011*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:05:26,225 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:05:26,227 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"solitari\"\n", + "2019-01-31 01:05:26,232 : INFO : topic diff=0.004924, rho=0.026417\n", + "2019-01-31 01:05:26,388 : INFO : PROGRESS: pass 0, at document #2868000/4922894\n", + "2019-01-31 01:05:27,774 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:28,040 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"noll\" + 0.020*\"japanes\" + 0.020*\"women\" + 0.020*\"festiv\" + 0.019*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:05:28,041 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:05:28,042 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.011*\"storag\" + 0.011*\"arsen\"\n", + "2019-01-31 01:05:28,043 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.011*\"centuri\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:05:28,044 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.042*\"line\" + 0.036*\"raid\" + 0.023*\"arsen\" + 0.021*\"rosenwald\" + 0.020*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"exhaust\"\n", + "2019-01-31 01:05:28,050 : INFO : topic diff=0.003945, rho=0.026407\n", + "2019-01-31 01:05:28,209 : INFO : PROGRESS: pass 0, at document #2870000/4922894\n", + "2019-01-31 01:05:29,610 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:29,877 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.033*\"new\" + 0.030*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:05:29,878 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"includ\" + 0.007*\"diggin\"\n", + "2019-01-31 01:05:29,879 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"summerhil\" + 0.006*\"woman\"\n", + "2019-01-31 01:05:29,880 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"battalion\" + 0.010*\"aza\" + 0.009*\"empath\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"till\"\n", + "2019-01-31 01:05:29,881 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:05:29,887 : INFO : topic diff=0.004331, rho=0.026398\n", + "2019-01-31 01:05:30,042 : INFO : PROGRESS: pass 0, at document #2872000/4922894\n", + "2019-01-31 01:05:31,418 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:31,684 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"england\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:05:31,685 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.043*\"canadian\" + 0.023*\"hoar\" + 0.022*\"toronto\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:05:31,687 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:05:31,688 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.016*\"alexand\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:05:31,689 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.050*\"franc\" + 0.036*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:05:31,694 : INFO : topic diff=0.004138, rho=0.026389\n", + "2019-01-31 01:05:31,857 : INFO : PROGRESS: pass 0, at document #2874000/4922894\n", + "2019-01-31 01:05:33,274 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:33,541 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.015*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:05:33,542 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:05:33,543 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:05:33,544 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"love\" + 0.006*\"workplac\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:05:33,545 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.075*\"januari\" + 0.071*\"notion\" + 0.071*\"juli\" + 0.070*\"judici\" + 0.068*\"decatur\" + 0.068*\"august\" + 0.068*\"april\"\n", + "2019-01-31 01:05:33,551 : INFO : topic diff=0.004295, rho=0.026380\n", + "2019-01-31 01:05:33,707 : INFO : PROGRESS: pass 0, at document #2876000/4922894\n", + "2019-01-31 01:05:35,093 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:35,359 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"alexand\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:05:35,360 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.021*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"feel\" + 0.009*\"male\" + 0.009*\"median\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:05:35,361 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:05:35,362 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.017*\"gener\" + 0.016*\"council\" + 0.016*\"start\"\n", + "2019-01-31 01:05:35,363 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"gestur\" + 0.006*\"love\" + 0.006*\"workplac\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:05:35,369 : INFO : topic diff=0.003851, rho=0.026371\n", + "2019-01-31 01:05:35,588 : INFO : PROGRESS: pass 0, at document #2878000/4922894\n", + "2019-01-31 01:05:37,000 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:37,267 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.043*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:05:37,268 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.015*\"western\" + 0.015*\"black\" + 0.014*\"pain\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:05:37,269 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.011*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:05:37,270 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.043*\"line\" + 0.036*\"raid\" + 0.022*\"arsen\" + 0.020*\"rosenwald\" + 0.020*\"museo\" + 0.020*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.011*\"brook\"\n", + "2019-01-31 01:05:37,271 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.042*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.018*\"leah\" + 0.016*\"kim\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:05:37,277 : INFO : topic diff=0.005459, rho=0.026361\n", + "2019-01-31 01:05:40,021 : INFO : -11.841 per-word bound, 3669.2 perplexity estimate based on a held-out corpus of 2000 documents with 574444 words\n", + "2019-01-31 01:05:40,022 : INFO : PROGRESS: pass 0, at document #2880000/4922894\n", + "2019-01-31 01:05:41,423 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:41,689 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:05:41,690 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.030*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:05:41,691 : INFO : topic #44 (0.020): 0.028*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"open\" + 0.014*\"taxpay\" + 0.014*\"chamber\"\n", + "2019-01-31 01:05:41,692 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:05:41,693 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:05:41,699 : INFO : topic diff=0.003446, rho=0.026352\n", + "2019-01-31 01:05:41,859 : INFO : PROGRESS: pass 0, at document #2882000/4922894\n", + "2019-01-31 01:05:43,249 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:43,516 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:05:43,517 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.011*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.007*\"includ\" + 0.007*\"diggin\"\n", + "2019-01-31 01:05:43,518 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.050*\"franc\" + 0.035*\"pari\" + 0.025*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:05:43,519 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.023*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 01:05:43,520 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:05:43,526 : INFO : topic diff=0.004025, rho=0.026343\n", + "2019-01-31 01:05:43,683 : INFO : PROGRESS: pass 0, at document #2884000/4922894\n", + "2019-01-31 01:05:45,059 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:45,326 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.022*\"alic\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:05:45,327 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.017*\"compos\" + 0.017*\"place\" + 0.014*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:05:45,328 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.021*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.017*\"gener\" + 0.016*\"council\" + 0.016*\"start\"\n", + "2019-01-31 01:05:45,329 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:05:45,330 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.022*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.014*\"report\"\n", + "2019-01-31 01:05:45,336 : INFO : topic diff=0.004115, rho=0.026334\n", + "2019-01-31 01:05:45,493 : INFO : PROGRESS: pass 0, at document #2886000/4922894\n", + "2019-01-31 01:05:46,856 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:47,122 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.068*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"noll\" + 0.020*\"japanes\" + 0.020*\"festiv\" + 0.020*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:05:47,123 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 01:05:47,124 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:05:47,125 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.030*\"priest\" + 0.022*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.016*\"quarterli\" + 0.015*\"count\" + 0.013*\"portugues\" + 0.012*\"kingdom\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:05:47,127 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.015*\"bone\" + 0.013*\"faster\" + 0.013*\"deal\" + 0.013*\"life\" + 0.012*\"john\"\n", + "2019-01-31 01:05:47,132 : INFO : topic diff=0.003781, rho=0.026325\n", + "2019-01-31 01:05:47,286 : INFO : PROGRESS: pass 0, at document #2888000/4922894\n", + "2019-01-31 01:05:48,646 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:48,911 : INFO : topic #44 (0.020): 0.028*\"final\" + 0.028*\"rooftop\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.014*\"martin\" + 0.014*\"open\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\"\n", + "2019-01-31 01:05:48,912 : INFO : topic #12 (0.020): 0.010*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 01:05:48,914 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.022*\"alic\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:05:48,915 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.011*\"battalion\" + 0.010*\"aza\" + 0.009*\"empath\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"till\"\n", + "2019-01-31 01:05:48,916 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.049*\"franc\" + 0.035*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:05:48,922 : INFO : topic diff=0.004085, rho=0.026316\n", + "2019-01-31 01:05:49,076 : INFO : PROGRESS: pass 0, at document #2890000/4922894\n", + "2019-01-31 01:05:50,422 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:50,689 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.023*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 01:05:50,691 : INFO : topic #20 (0.020): 0.147*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"start\" + 0.010*\"gothic\"\n", + "2019-01-31 01:05:50,692 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"origin\" + 0.009*\"form\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:05:50,693 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"damag\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.012*\"denmark\" + 0.011*\"danish\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:05:50,694 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"market\" + 0.012*\"busi\" + 0.011*\"produc\" + 0.011*\"million\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:05:50,700 : INFO : topic diff=0.003725, rho=0.026307\n", + "2019-01-31 01:05:50,855 : INFO : PROGRESS: pass 0, at document #2892000/4922894\n", + "2019-01-31 01:05:52,245 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:52,511 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.022*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.014*\"liber\"\n", + "2019-01-31 01:05:52,512 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.077*\"octob\" + 0.076*\"sens\" + 0.075*\"januari\" + 0.070*\"juli\" + 0.069*\"notion\" + 0.068*\"judici\" + 0.067*\"august\" + 0.067*\"decatur\" + 0.066*\"april\"\n", + "2019-01-31 01:05:52,514 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:05:52,515 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.019*\"player\" + 0.019*\"folei\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:05:52,515 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:05:52,521 : INFO : topic diff=0.004450, rho=0.026298\n", + "2019-01-31 01:05:52,678 : INFO : PROGRESS: pass 0, at document #2894000/4922894\n", + "2019-01-31 01:05:54,046 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:54,313 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.022*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.014*\"report\"\n", + "2019-01-31 01:05:54,313 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.074*\"januari\" + 0.070*\"juli\" + 0.069*\"notion\" + 0.068*\"judici\" + 0.068*\"august\" + 0.067*\"decatur\" + 0.067*\"april\"\n", + "2019-01-31 01:05:54,314 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.027*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.021*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.016*\"council\" + 0.016*\"start\"\n", + "2019-01-31 01:05:54,316 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:05:54,317 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.012*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:05:54,322 : INFO : topic diff=0.004276, rho=0.026288\n", + "2019-01-31 01:05:54,478 : INFO : PROGRESS: pass 0, at document #2896000/4922894\n", + "2019-01-31 01:05:55,855 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:56,121 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:05:56,122 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:05:56,123 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.010*\"mode\" + 0.009*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:05:56,124 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"open\" + 0.014*\"tiepolo\" + 0.014*\"chamber\"\n", + "2019-01-31 01:05:56,126 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.022*\"arsen\" + 0.022*\"museo\" + 0.022*\"rosenwald\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.013*\"oper\" + 0.011*\"brook\"\n", + "2019-01-31 01:05:56,131 : INFO : topic diff=0.004365, rho=0.026279\n", + "2019-01-31 01:05:56,283 : INFO : PROGRESS: pass 0, at document #2898000/4922894\n", + "2019-01-31 01:05:57,629 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:05:57,896 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.041*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.023*\"korea\" + 0.019*\"leah\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.016*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:05:57,897 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:05:57,898 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"damag\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.011*\"denmark\" + 0.011*\"danish\" + 0.010*\"treeless\"\n", + "2019-01-31 01:05:57,899 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.013*\"fool\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:05:57,900 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:05:57,906 : INFO : topic diff=0.003455, rho=0.026270\n", + "2019-01-31 01:06:00,558 : INFO : -11.614 per-word bound, 3133.7 perplexity estimate based on a held-out corpus of 2000 documents with 560306 words\n", + "2019-01-31 01:06:00,559 : INFO : PROGRESS: pass 0, at document #2900000/4922894\n", + "2019-01-31 01:06:01,920 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:02,186 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"josé\"\n", + "2019-01-31 01:06:02,187 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:06:02,188 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:06:02,189 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"summerhil\" + 0.006*\"woman\"\n", + "2019-01-31 01:06:02,191 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"dixi\"\n", + "2019-01-31 01:06:02,197 : INFO : topic diff=0.004961, rho=0.026261\n", + "2019-01-31 01:06:02,355 : INFO : PROGRESS: pass 0, at document #2902000/4922894\n", + "2019-01-31 01:06:03,723 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:03,989 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:06:03,990 : INFO : topic #8 (0.020): 0.029*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:06:03,991 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"josé\"\n", + "2019-01-31 01:06:03,992 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:06:03,993 : INFO : topic #38 (0.020): 0.025*\"walter\" + 0.011*\"battalion\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:06:03,999 : INFO : topic diff=0.003988, rho=0.026252\n", + "2019-01-31 01:06:04,153 : INFO : PROGRESS: pass 0, at document #2904000/4922894\n", + "2019-01-31 01:06:05,520 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:05,786 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:06:05,788 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"love\" + 0.006*\"gestur\" + 0.006*\"workplac\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:06:05,789 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"differ\" + 0.006*\"servitud\"\n", + "2019-01-31 01:06:05,790 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.042*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.022*\"ontario\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"hydrogen\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:06:05,791 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.043*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.020*\"citi\" + 0.019*\"regim\" + 0.018*\"cede\"\n", + "2019-01-31 01:06:05,797 : INFO : topic diff=0.003743, rho=0.026243\n", + "2019-01-31 01:06:05,954 : INFO : PROGRESS: pass 0, at document #2906000/4922894\n", + "2019-01-31 01:06:07,337 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:07,603 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.019*\"rivièr\" + 0.017*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:06:07,604 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.043*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.020*\"citi\" + 0.019*\"regim\" + 0.018*\"cede\"\n", + "2019-01-31 01:06:07,606 : INFO : topic #38 (0.020): 0.025*\"walter\" + 0.011*\"battalion\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:06:07,607 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"market\" + 0.012*\"busi\" + 0.011*\"million\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:06:07,608 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.028*\"sourc\" + 0.026*\"london\" + 0.026*\"new\" + 0.025*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:06:07,613 : INFO : topic diff=0.003763, rho=0.026234\n", + "2019-01-31 01:06:07,773 : INFO : PROGRESS: pass 0, at document #2908000/4922894\n", + "2019-01-31 01:06:09,170 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:09,436 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.041*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.019*\"leah\" + 0.018*\"korean\" + 0.016*\"kim\" + 0.016*\"sourc\" + 0.013*\"shirin\"\n", + "2019-01-31 01:06:09,437 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.015*\"western\" + 0.014*\"pain\" + 0.014*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.010*\"blind\"\n", + "2019-01-31 01:06:09,438 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:06:09,440 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.027*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"council\"\n", + "2019-01-31 01:06:09,441 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.049*\"franc\" + 0.035*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:06:09,446 : INFO : topic diff=0.004871, rho=0.026225\n", + "2019-01-31 01:06:09,663 : INFO : PROGRESS: pass 0, at document #2910000/4922894\n", + "2019-01-31 01:06:11,063 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:11,329 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"market\" + 0.012*\"busi\" + 0.011*\"million\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:06:11,330 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\" + 0.012*\"physician\"\n", + "2019-01-31 01:06:11,332 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.014*\"republ\" + 0.014*\"report\"\n", + "2019-01-31 01:06:11,333 : INFO : topic #38 (0.020): 0.025*\"walter\" + 0.011*\"battalion\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:06:11,334 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"arsen\" + 0.011*\"collect\" + 0.011*\"nicola\" + 0.011*\"magazin\"\n", + "2019-01-31 01:06:11,340 : INFO : topic diff=0.002952, rho=0.026216\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:06:11,495 : INFO : PROGRESS: pass 0, at document #2912000/4922894\n", + "2019-01-31 01:06:12,956 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:13,223 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:06:13,224 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 01:06:13,225 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.049*\"franc\" + 0.034*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:06:13,226 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.020*\"idiosyncrat\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.015*\"count\" + 0.013*\"portugues\" + 0.013*\"kingdom\"\n", + "2019-01-31 01:06:13,227 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.034*\"raid\" + 0.022*\"rosenwald\" + 0.021*\"museo\" + 0.021*\"arsen\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.013*\"oper\" + 0.011*\"brook\"\n", + "2019-01-31 01:06:13,233 : INFO : topic diff=0.004410, rho=0.026207\n", + "2019-01-31 01:06:13,391 : INFO : PROGRESS: pass 0, at document #2914000/4922894\n", + "2019-01-31 01:06:14,784 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:15,051 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.009*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:06:15,052 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.069*\"juli\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.067*\"august\" + 0.066*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 01:06:15,054 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"workplac\" + 0.006*\"love\" + 0.006*\"gestur\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:06:15,055 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.014*\"republ\" + 0.014*\"report\"\n", + "2019-01-31 01:06:15,056 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.016*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:06:15,062 : INFO : topic diff=0.004112, rho=0.026198\n", + "2019-01-31 01:06:15,221 : INFO : PROGRESS: pass 0, at document #2916000/4922894\n", + "2019-01-31 01:06:16,642 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:16,911 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"differ\" + 0.006*\"servitud\"\n", + "2019-01-31 01:06:16,912 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.030*\"priest\" + 0.021*\"idiosyncrat\" + 0.019*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.015*\"count\" + 0.013*\"portugues\" + 0.012*\"kingdom\"\n", + "2019-01-31 01:06:16,914 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.049*\"franc\" + 0.034*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:06:16,915 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.018*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:06:16,916 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.014*\"republ\" + 0.014*\"report\"\n", + "2019-01-31 01:06:16,921 : INFO : topic diff=0.003684, rho=0.026189\n", + "2019-01-31 01:06:17,077 : INFO : PROGRESS: pass 0, at document #2918000/4922894\n", + "2019-01-31 01:06:18,443 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:18,709 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.026*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:06:18,710 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.012*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:06:18,711 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.009*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:06:18,712 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"differ\" + 0.006*\"servitud\"\n", + "2019-01-31 01:06:18,713 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 01:06:18,719 : INFO : topic diff=0.004067, rho=0.026180\n", + "2019-01-31 01:06:21,320 : INFO : -11.774 per-word bound, 3501.6 perplexity estimate based on a held-out corpus of 2000 documents with 520506 words\n", + "2019-01-31 01:06:21,321 : INFO : PROGRESS: pass 0, at document #2920000/4922894\n", + "2019-01-31 01:06:22,670 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:22,940 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.044*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"kim\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:06:22,941 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.043*\"popolo\" + 0.041*\"vigour\" + 0.037*\"tortur\" + 0.032*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.020*\"citi\" + 0.019*\"regim\" + 0.018*\"cede\"\n", + "2019-01-31 01:06:22,942 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.019*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:06:22,943 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.009*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:06:22,944 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"arsen\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:06:22,950 : INFO : topic diff=0.004123, rho=0.026171\n", + "2019-01-31 01:06:23,106 : INFO : PROGRESS: pass 0, at document #2922000/4922894\n", + "2019-01-31 01:06:24,481 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:24,748 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.014*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:06:24,749 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.026*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:06:24,750 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.018*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"strategist\" + 0.010*\"linear\" + 0.010*\"depress\"\n", + "2019-01-31 01:06:24,751 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.020*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"degre\" + 0.012*\"word\" + 0.011*\"governor\"\n", + "2019-01-31 01:06:24,752 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:06:24,758 : INFO : topic diff=0.003835, rho=0.026162\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:06:24,912 : INFO : PROGRESS: pass 0, at document #2924000/4922894\n", + "2019-01-31 01:06:26,293 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:26,559 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.069*\"juli\" + 0.068*\"notion\" + 0.066*\"august\" + 0.066*\"judici\" + 0.066*\"decatur\" + 0.065*\"april\"\n", + "2019-01-31 01:06:26,560 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:06:26,562 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.012*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:06:26,563 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.048*\"american\" + 0.029*\"valour\" + 0.021*\"folei\" + 0.019*\"player\" + 0.019*\"dutch\" + 0.018*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:06:26,563 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"lobe\" + 0.008*\"land\"\n", + "2019-01-31 01:06:26,569 : INFO : topic diff=0.003623, rho=0.026153\n", + "2019-01-31 01:06:26,723 : INFO : PROGRESS: pass 0, at document #2926000/4922894\n", + "2019-01-31 01:06:28,095 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:28,361 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"personifi\" + 0.024*\"poison\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.016*\"turin\" + 0.016*\"poland\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:06:28,362 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:06:28,363 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"diggin\"\n", + "2019-01-31 01:06:28,364 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.026*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:06:28,365 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.021*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"feel\" + 0.009*\"male\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"incom\"\n", + "2019-01-31 01:06:28,371 : INFO : topic diff=0.003958, rho=0.026144\n", + "2019-01-31 01:06:28,523 : INFO : PROGRESS: pass 0, at document #2928000/4922894\n", + "2019-01-31 01:06:29,877 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:30,143 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.026*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:06:30,144 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.048*\"american\" + 0.029*\"valour\" + 0.021*\"folei\" + 0.019*\"player\" + 0.019*\"dutch\" + 0.018*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:06:30,145 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.012*\"televis\" + 0.011*\"pakistan\" + 0.011*\"sri\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.011*\"alam\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:06:30,146 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:06:30,147 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"octob\" + 0.078*\"sens\" + 0.072*\"januari\" + 0.069*\"juli\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.067*\"august\" + 0.066*\"decatur\" + 0.065*\"april\"\n", + "2019-01-31 01:06:30,153 : INFO : topic diff=0.004249, rho=0.026135\n", + "2019-01-31 01:06:30,311 : INFO : PROGRESS: pass 0, at document #2930000/4922894\n", + "2019-01-31 01:06:31,688 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:31,954 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:06:31,955 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.058*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:06:31,957 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.011*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:06:31,957 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"israel\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.012*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:06:31,958 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.043*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"kim\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:06:31,964 : INFO : topic diff=0.003839, rho=0.026126\n", + "2019-01-31 01:06:32,133 : INFO : PROGRESS: pass 0, at document #2932000/4922894\n", + "2019-01-31 01:06:33,558 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:33,824 : INFO : topic #20 (0.020): 0.151*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"task\" + 0.010*\"start\"\n", + "2019-01-31 01:06:33,825 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:06:33,827 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"battalion\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:06:33,828 : INFO : topic #2 (0.020): 0.053*\"isl\" + 0.036*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 01:06:33,829 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:06:33,834 : INFO : topic diff=0.004412, rho=0.026118\n", + "2019-01-31 01:06:33,987 : INFO : PROGRESS: pass 0, at document #2934000/4922894\n", + "2019-01-31 01:06:35,336 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:35,603 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.033*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:06:35,604 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.015*\"norwegian\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.012*\"denmark\" + 0.011*\"danish\" + 0.010*\"turkei\"\n", + "2019-01-31 01:06:35,605 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"feel\" + 0.009*\"male\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\"\n", + "2019-01-31 01:06:35,606 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:06:35,607 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.033*\"raid\" + 0.023*\"rosenwald\" + 0.022*\"traceabl\" + 0.021*\"museo\" + 0.019*\"arsen\" + 0.019*\"serv\" + 0.013*\"oper\" + 0.011*\"brook\"\n", + "2019-01-31 01:06:35,612 : INFO : topic diff=0.004612, rho=0.026109\n", + "2019-01-31 01:06:35,766 : INFO : PROGRESS: pass 0, at document #2936000/4922894\n", + "2019-01-31 01:06:37,184 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:06:37,451 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:06:37,452 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.018*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"strategist\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:06:37,453 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:06:37,454 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"idiosyncrat\" + 0.020*\"duke\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.014*\"count\" + 0.013*\"portugues\" + 0.012*\"brazil\"\n", + "2019-01-31 01:06:37,455 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.015*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:06:37,461 : INFO : topic diff=0.003781, rho=0.026100\n", + "2019-01-31 01:06:37,623 : INFO : PROGRESS: pass 0, at document #2938000/4922894\n", + "2019-01-31 01:06:38,972 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:39,241 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.042*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.023*\"korea\" + 0.019*\"korean\" + 0.018*\"leah\" + 0.016*\"kim\" + 0.016*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:06:39,242 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.027*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"gener\" + 0.016*\"start\" + 0.015*\"council\"\n", + "2019-01-31 01:06:39,243 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.035*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 01:06:39,244 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"candid\"\n", + "2019-01-31 01:06:39,246 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"simultan\" + 0.016*\"muscl\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:06:39,251 : INFO : topic diff=0.003591, rho=0.026091\n", + "2019-01-31 01:06:41,885 : INFO : -11.647 per-word bound, 3205.9 perplexity estimate based on a held-out corpus of 2000 documents with 510279 words\n", + "2019-01-31 01:06:41,885 : INFO : PROGRESS: pass 0, at document #2940000/4922894\n", + "2019-01-31 01:06:43,251 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:43,517 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.029*\"final\" + 0.025*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"open\" + 0.013*\"tiepolo\" + 0.013*\"martin\"\n", + "2019-01-31 01:06:43,518 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"turin\"\n", + "2019-01-31 01:06:43,519 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:06:43,521 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"israel\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.012*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:06:43,522 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.034*\"raid\" + 0.024*\"rosenwald\" + 0.022*\"traceabl\" + 0.020*\"museo\" + 0.019*\"arsen\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"brook\"\n", + "2019-01-31 01:06:43,528 : INFO : topic diff=0.004179, rho=0.026082\n", + "2019-01-31 01:06:43,685 : INFO : PROGRESS: pass 0, at document #2942000/4922894\n", + "2019-01-31 01:06:45,092 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:45,359 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.012*\"televis\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.011*\"sri\" + 0.011*\"alam\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:06:45,360 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 01:06:45,361 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:06:45,362 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.059*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:06:45,363 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.024*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"governor\"\n", + "2019-01-31 01:06:45,368 : INFO : topic diff=0.003636, rho=0.026073\n", + "2019-01-31 01:06:45,582 : INFO : PROGRESS: pass 0, at document #2944000/4922894\n", + "2019-01-31 01:06:46,972 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:47,239 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:06:47,240 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"centuri\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:06:47,241 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\" + 0.007*\"base\"\n", + "2019-01-31 01:06:47,242 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:06:47,243 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"solitari\"\n", + "2019-01-31 01:06:47,249 : INFO : topic diff=0.004064, rho=0.026064\n", + "2019-01-31 01:06:47,403 : INFO : PROGRESS: pass 0, at document #2946000/4922894\n", + "2019-01-31 01:06:48,771 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:49,037 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"love\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"storag\"\n", + "2019-01-31 01:06:49,038 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.027*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:06:49,039 : INFO : topic #20 (0.020): 0.151*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.009*\"start\"\n", + "2019-01-31 01:06:49,040 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.037*\"tortur\" + 0.033*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.020*\"citi\" + 0.019*\"adulthood\" + 0.019*\"cede\"\n", + "2019-01-31 01:06:49,041 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.012*\"islam\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"sri\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"alam\" + 0.010*\"muskoge\"\n", + "2019-01-31 01:06:49,047 : INFO : topic diff=0.003477, rho=0.026055\n", + "2019-01-31 01:06:49,200 : INFO : PROGRESS: pass 0, at document #2948000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:06:50,571 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:50,837 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:06:50,839 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 01:06:50,840 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:06:50,841 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.022*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.011*\"movi\"\n", + "2019-01-31 01:06:50,842 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.006*\"summerhil\" + 0.006*\"workplac\"\n", + "2019-01-31 01:06:50,848 : INFO : topic diff=0.003853, rho=0.026047\n", + "2019-01-31 01:06:51,006 : INFO : PROGRESS: pass 0, at document #2950000/4922894\n", + "2019-01-31 01:06:52,398 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:52,668 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"edit\" + 0.013*\"arsen\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:06:52,669 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:06:52,670 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.047*\"american\" + 0.029*\"valour\" + 0.020*\"folei\" + 0.018*\"player\" + 0.018*\"dutch\" + 0.017*\"english\" + 0.017*\"polit\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:06:52,671 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.044*\"canadian\" + 0.023*\"hoar\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:06:52,672 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.018*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:06:52,678 : INFO : topic diff=0.004486, rho=0.026038\n", + "2019-01-31 01:06:52,838 : INFO : PROGRESS: pass 0, at document #2952000/4922894\n", + "2019-01-31 01:06:54,238 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:54,505 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"market\" + 0.011*\"produc\" + 0.011*\"million\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:06:54,506 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"josé\"\n", + "2019-01-31 01:06:54,507 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.026*\"hous\" + 0.018*\"buford\" + 0.018*\"rivièr\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.010*\"depress\" + 0.010*\"strategist\" + 0.010*\"silicon\"\n", + "2019-01-31 01:06:54,508 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"battalion\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:06:54,509 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.011*\"affection\" + 0.011*\"alam\" + 0.011*\"anglo\" + 0.011*\"sri\" + 0.010*\"muskoge\"\n", + "2019-01-31 01:06:54,515 : INFO : topic diff=0.004274, rho=0.026029\n", + "2019-01-31 01:06:54,674 : INFO : PROGRESS: pass 0, at document #2954000/4922894\n", + "2019-01-31 01:06:56,067 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:56,333 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.011*\"find\" + 0.011*\"fool\" + 0.011*\"théori\" + 0.010*\"squatter\"\n", + "2019-01-31 01:06:56,335 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:06:56,336 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.029*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"open\" + 0.014*\"tiepolo\" + 0.013*\"martin\"\n", + "2019-01-31 01:06:56,337 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:06:56,338 : INFO : topic #13 (0.020): 0.027*\"new\" + 0.027*\"australia\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:06:56,343 : INFO : topic diff=0.004382, rho=0.026020\n", + "2019-01-31 01:06:56,505 : INFO : PROGRESS: pass 0, at document #2956000/4922894\n", + "2019-01-31 01:06:57,928 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:58,194 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.020*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"josé\"\n", + "2019-01-31 01:06:58,195 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:06:58,196 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.033*\"pari\" + 0.023*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:06:58,197 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:06:58,198 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:06:58,204 : INFO : topic diff=0.003995, rho=0.026011\n", + "2019-01-31 01:06:58,359 : INFO : PROGRESS: pass 0, at document #2958000/4922894\n", + "2019-01-31 01:06:59,726 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:06:59,993 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"candid\"\n", + "2019-01-31 01:06:59,994 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.013*\"tornado\" + 0.011*\"find\" + 0.011*\"fool\" + 0.011*\"théori\" + 0.010*\"squatter\"\n", + "2019-01-31 01:06:59,995 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:06:59,996 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.034*\"raid\" + 0.024*\"rosenwald\" + 0.022*\"traceabl\" + 0.020*\"museo\" + 0.018*\"serv\" + 0.018*\"arsen\" + 0.013*\"oper\" + 0.010*\"brook\"\n", + "2019-01-31 01:06:59,997 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.005*\"wander\" + 0.004*\"call\"\n", + "2019-01-31 01:07:00,003 : INFO : topic diff=0.003716, rho=0.026003\n", + "2019-01-31 01:07:02,730 : INFO : -11.626 per-word bound, 3161.7 perplexity estimate based on a held-out corpus of 2000 documents with 584538 words\n", + "2019-01-31 01:07:02,731 : INFO : PROGRESS: pass 0, at document #2960000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:07:04,132 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:04,399 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.014*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.011*\"movi\"\n", + "2019-01-31 01:07:04,400 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.022*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"yawn\"\n", + "2019-01-31 01:07:04,401 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:07:04,402 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\" + 0.017*\"atheist\"\n", + "2019-01-31 01:07:04,403 : INFO : topic #20 (0.020): 0.149*\"scholar\" + 0.038*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:07:04,409 : INFO : topic diff=0.004390, rho=0.025994\n", + "2019-01-31 01:07:04,567 : INFO : PROGRESS: pass 0, at document #2962000/4922894\n", + "2019-01-31 01:07:05,949 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:06,219 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:07:06,220 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:07:06,221 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.018*\"buford\" + 0.018*\"rivièr\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"strategist\" + 0.010*\"linear\"\n", + "2019-01-31 01:07:06,222 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:07:06,223 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.077*\"octob\" + 0.076*\"sens\" + 0.072*\"januari\" + 0.068*\"juli\" + 0.068*\"notion\" + 0.065*\"judici\" + 0.065*\"august\" + 0.065*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:07:06,229 : INFO : topic diff=0.004177, rho=0.025985\n", + "2019-01-31 01:07:06,380 : INFO : PROGRESS: pass 0, at document #2964000/4922894\n", + "2019-01-31 01:07:07,732 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:07,998 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.069*\"juli\" + 0.068*\"notion\" + 0.066*\"judici\" + 0.066*\"august\" + 0.065*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:07:07,999 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:07:08,000 : INFO : topic #46 (0.020): 0.016*\"norwai\" + 0.016*\"sweden\" + 0.016*\"stop\" + 0.015*\"swedish\" + 0.015*\"norwegian\" + 0.015*\"damag\" + 0.014*\"wind\" + 0.011*\"treeless\" + 0.011*\"denmark\" + 0.011*\"danish\"\n", + "2019-01-31 01:07:08,001 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.070*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.018*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:07:08,002 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:07:08,008 : INFO : topic diff=0.004479, rho=0.025976\n", + "2019-01-31 01:07:08,162 : INFO : PROGRESS: pass 0, at document #2966000/4922894\n", + "2019-01-31 01:07:09,545 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:09,811 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.042*\"chilton\" + 0.025*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.016*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:07:09,812 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"théori\" + 0.010*\"squatter\"\n", + "2019-01-31 01:07:09,813 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\" + 0.007*\"base\"\n", + "2019-01-31 01:07:09,814 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:07:09,815 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.069*\"juli\" + 0.068*\"notion\" + 0.066*\"judici\" + 0.066*\"august\" + 0.065*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:07:09,821 : INFO : topic diff=0.003740, rho=0.025967\n", + "2019-01-31 01:07:09,974 : INFO : PROGRESS: pass 0, at document #2968000/4922894\n", + "2019-01-31 01:07:11,343 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:11,610 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.042*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.016*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:07:11,611 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.029*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.019*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:07:11,612 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.009*\"feel\" + 0.009*\"male\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:07:11,612 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.057*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"liber\"\n", + "2019-01-31 01:07:11,614 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.022*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 01:07:11,619 : INFO : topic diff=0.004443, rho=0.025959\n", + "2019-01-31 01:07:11,780 : INFO : PROGRESS: pass 0, at document #2970000/4922894\n", + "2019-01-31 01:07:13,182 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:13,448 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\" + 0.013*\"martin\"\n", + "2019-01-31 01:07:13,449 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:07:13,450 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.022*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"hot\"\n", + "2019-01-31 01:07:13,451 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.014*\"will\" + 0.012*\"david\" + 0.012*\"jame\" + 0.010*\"mexican–american\" + 0.010*\"rival\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:07:13,452 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:07:13,458 : INFO : topic diff=0.003788, rho=0.025950\n", + "2019-01-31 01:07:13,615 : INFO : PROGRESS: pass 0, at document #2972000/4922894\n", + "2019-01-31 01:07:15,016 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:15,283 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.012*\"genu\" + 0.009*\"feel\" + 0.008*\"male\" + 0.008*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.008*\"incom\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:07:15,284 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.019*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:07:15,286 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.008*\"human\" + 0.007*\"summerhil\" + 0.006*\"woman\"\n", + "2019-01-31 01:07:15,287 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:07:15,288 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.047*\"american\" + 0.028*\"valour\" + 0.022*\"folei\" + 0.020*\"player\" + 0.019*\"dutch\" + 0.016*\"english\" + 0.016*\"polit\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:07:15,294 : INFO : topic diff=0.003298, rho=0.025941\n", + "2019-01-31 01:07:15,507 : INFO : PROGRESS: pass 0, at document #2974000/4922894\n", + "2019-01-31 01:07:16,891 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:17,158 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.044*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.015*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"new\" + 0.014*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 01:07:17,159 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"illicit\" + 0.016*\"colder\" + 0.015*\"pain\" + 0.015*\"western\" + 0.014*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:07:17,160 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"josé\"\n", + "2019-01-31 01:07:17,161 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.014*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"mexican–american\" + 0.010*\"rival\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:07:17,162 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"love\" + 0.006*\"workplac\" + 0.006*\"storag\" + 0.006*\"dixi\"\n", + "2019-01-31 01:07:17,168 : INFO : topic diff=0.003809, rho=0.025933\n", + "2019-01-31 01:07:17,327 : INFO : PROGRESS: pass 0, at document #2976000/4922894\n", + "2019-01-31 01:07:18,736 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:19,002 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.032*\"priest\" + 0.020*\"idiosyncrat\" + 0.019*\"duke\" + 0.019*\"rotterdam\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.014*\"count\" + 0.014*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:07:19,003 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.015*\"council\"\n", + "2019-01-31 01:07:19,004 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"ural\"\n", + "2019-01-31 01:07:19,005 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.010*\"relationship\" + 0.010*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:07:19,006 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"love\" + 0.006*\"workplac\" + 0.006*\"storag\" + 0.006*\"dixi\"\n", + "2019-01-31 01:07:19,012 : INFO : topic diff=0.003767, rho=0.025924\n", + "2019-01-31 01:07:19,170 : INFO : PROGRESS: pass 0, at document #2978000/4922894\n", + "2019-01-31 01:07:20,577 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:20,843 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"théori\" + 0.011*\"squatter\"\n", + "2019-01-31 01:07:20,844 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:07:20,845 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.044*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.013*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:07:20,846 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"battalion\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:07:20,848 : INFO : topic #6 (0.020): 0.073*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.014*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.011*\"movi\"\n", + "2019-01-31 01:07:20,853 : INFO : topic diff=0.003541, rho=0.025915\n", + "2019-01-31 01:07:23,514 : INFO : -11.815 per-word bound, 3602.4 perplexity estimate based on a held-out corpus of 2000 documents with 552617 words\n", + "2019-01-31 01:07:23,515 : INFO : PROGRESS: pass 0, at document #2980000/4922894\n", + "2019-01-31 01:07:24,881 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:25,147 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.045*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:07:25,148 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.020*\"citi\" + 0.019*\"adulthood\" + 0.019*\"cede\"\n", + "2019-01-31 01:07:25,149 : INFO : topic #36 (0.020): 0.010*\"prognosi\" + 0.010*\"network\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"ural\"\n", + "2019-01-31 01:07:25,150 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.012*\"market\" + 0.011*\"produc\" + 0.011*\"million\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:07:25,151 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.022*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.015*\"council\"\n", + "2019-01-31 01:07:25,156 : INFO : topic diff=0.003830, rho=0.025906\n", + "2019-01-31 01:07:25,316 : INFO : PROGRESS: pass 0, at document #2982000/4922894\n", + "2019-01-31 01:07:26,713 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:26,980 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"genu\" + 0.012*\"plaisir\" + 0.009*\"feel\" + 0.008*\"biom\" + 0.008*\"western\" + 0.008*\"median\" + 0.008*\"male\" + 0.007*\"incom\"\n", + "2019-01-31 01:07:26,981 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.012*\"market\" + 0.011*\"produc\" + 0.011*\"million\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:07:26,982 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.011*\"movi\"\n", + "2019-01-31 01:07:26,983 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:07:26,984 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.010*\"elabor\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"candid\"\n", + "2019-01-31 01:07:26,990 : INFO : topic diff=0.003649, rho=0.025898\n", + "2019-01-31 01:07:27,149 : INFO : PROGRESS: pass 0, at document #2984000/4922894\n", + "2019-01-31 01:07:28,536 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:28,802 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"land\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:07:28,803 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:07:28,804 : INFO : topic #46 (0.020): 0.016*\"sweden\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.016*\"swedish\" + 0.015*\"stop\" + 0.015*\"norwegian\" + 0.013*\"wind\" + 0.011*\"denmark\" + 0.011*\"danish\" + 0.011*\"treeless\"\n", + "2019-01-31 01:07:28,805 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.024*\"area\" + 0.022*\"multitud\" + 0.020*\"citi\" + 0.019*\"adulthood\" + 0.019*\"cede\"\n", + "2019-01-31 01:07:28,806 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.027*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.015*\"council\"\n", + "2019-01-31 01:07:28,812 : INFO : topic diff=0.003988, rho=0.025889\n", + "2019-01-31 01:07:28,976 : INFO : PROGRESS: pass 0, at document #2986000/4922894\n", + "2019-01-31 01:07:30,367 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:30,636 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"storag\" + 0.006*\"love\" + 0.006*\"workplac\" + 0.006*\"gestur\"\n", + "2019-01-31 01:07:30,637 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"pain\" + 0.014*\"western\" + 0.014*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:07:30,638 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.014*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:07:30,639 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"josé\"\n", + "2019-01-31 01:07:30,640 : INFO : topic #28 (0.020): 0.032*\"build\" + 0.025*\"hous\" + 0.018*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.010*\"depress\" + 0.010*\"strategist\" + 0.010*\"silicon\"\n", + "2019-01-31 01:07:30,646 : INFO : topic diff=0.003692, rho=0.025880\n", + "2019-01-31 01:07:30,800 : INFO : PROGRESS: pass 0, at document #2988000/4922894\n", + "2019-01-31 01:07:32,169 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:32,436 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"genu\" + 0.011*\"plaisir\" + 0.008*\"feel\" + 0.008*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.008*\"male\" + 0.007*\"incom\"\n", + "2019-01-31 01:07:32,437 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.020*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:07:32,438 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.012*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:07:32,438 : INFO : topic #13 (0.020): 0.026*\"new\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:07:32,439 : INFO : topic #20 (0.020): 0.151*\"scholar\" + 0.039*\"struggl\" + 0.038*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"class\" + 0.009*\"district\"\n", + "2019-01-31 01:07:32,445 : INFO : topic diff=0.003734, rho=0.025872\n", + "2019-01-31 01:07:32,603 : INFO : PROGRESS: pass 0, at document #2990000/4922894\n", + "2019-01-31 01:07:33,990 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:34,258 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 01:07:34,259 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.012*\"genu\" + 0.008*\"feel\" + 0.008*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.008*\"male\" + 0.007*\"incom\"\n", + "2019-01-31 01:07:34,260 : INFO : topic #47 (0.020): 0.068*\"muscl\" + 0.034*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\" + 0.011*\"physician\"\n", + "2019-01-31 01:07:34,261 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.010*\"relationship\" + 0.010*\"centuri\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:07:34,262 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.047*\"american\" + 0.027*\"valour\" + 0.021*\"folei\" + 0.020*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:07:34,268 : INFO : topic diff=0.003532, rho=0.025863\n", + "2019-01-31 01:07:34,423 : INFO : PROGRESS: pass 0, at document #2992000/4922894\n", + "2019-01-31 01:07:35,815 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:36,082 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"pain\" + 0.014*\"western\" + 0.013*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.009*\"blind\"\n", + "2019-01-31 01:07:36,083 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"storag\" + 0.006*\"workplac\" + 0.006*\"love\" + 0.006*\"gestur\"\n", + "2019-01-31 01:07:36,084 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"foam\" + 0.008*\"land\"\n", + "2019-01-31 01:07:36,085 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.034*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"tyrant\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:07:36,086 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"pop\" + 0.011*\"network\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\" + 0.007*\"ural\"\n", + "2019-01-31 01:07:36,092 : INFO : topic diff=0.003888, rho=0.025854\n", + "2019-01-31 01:07:36,248 : INFO : PROGRESS: pass 0, at document #2994000/4922894\n", + "2019-01-31 01:07:37,621 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:37,887 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.010*\"refut\"\n", + "2019-01-31 01:07:37,888 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:07:37,889 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.022*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.012*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:07:37,890 : INFO : topic #20 (0.020): 0.151*\"scholar\" + 0.038*\"high\" + 0.038*\"struggl\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.010*\"district\" + 0.010*\"gothic\"\n", + "2019-01-31 01:07:37,891 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.014*\"portugues\" + 0.014*\"count\" + 0.013*\"brazil\"\n", + "2019-01-31 01:07:37,897 : INFO : topic diff=0.004370, rho=0.025846\n", + "2019-01-31 01:07:38,060 : INFO : PROGRESS: pass 0, at document #2996000/4922894\n", + "2019-01-31 01:07:39,450 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:39,719 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:07:39,720 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:07:39,721 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.012*\"genu\" + 0.008*\"feel\" + 0.008*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.008*\"male\" + 0.007*\"incom\"\n", + "2019-01-31 01:07:39,723 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 01:07:39,724 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"wander\" + 0.004*\"call\"\n", + "2019-01-31 01:07:39,730 : INFO : topic diff=0.004008, rho=0.025837\n", + "2019-01-31 01:07:39,888 : INFO : PROGRESS: pass 0, at document #2998000/4922894\n", + "2019-01-31 01:07:41,402 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:41,669 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:07:41,670 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.034*\"raid\" + 0.024*\"rosenwald\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.018*\"museo\" + 0.015*\"arsen\" + 0.013*\"oper\" + 0.011*\"brook\"\n", + "2019-01-31 01:07:41,671 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.021*\"folei\" + 0.020*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:07:41,672 : INFO : topic #47 (0.020): 0.067*\"muscl\" + 0.033*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"word\" + 0.012*\"physician\"\n", + "2019-01-31 01:07:41,673 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.012*\"market\" + 0.011*\"million\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:07:41,679 : INFO : topic diff=0.003026, rho=0.025828\n", + "2019-01-31 01:07:44,342 : INFO : -11.517 per-word bound, 2929.7 perplexity estimate based on a held-out corpus of 2000 documents with 539424 words\n", + "2019-01-31 01:07:44,342 : INFO : PROGRESS: pass 0, at document #3000000/4922894\n", + "2019-01-31 01:07:45,715 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:45,981 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.012*\"genu\" + 0.008*\"feel\" + 0.008*\"biom\" + 0.008*\"western\" + 0.008*\"male\" + 0.008*\"median\" + 0.007*\"incom\"\n", + "2019-01-31 01:07:45,982 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:07:45,984 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.030*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 01:07:45,985 : INFO : topic #20 (0.020): 0.151*\"scholar\" + 0.038*\"struggl\" + 0.038*\"high\" + 0.030*\"educ\" + 0.022*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.010*\"district\" + 0.010*\"gothic\"\n", + "2019-01-31 01:07:45,986 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"summerhil\" + 0.006*\"woman\"\n", + "2019-01-31 01:07:45,992 : INFO : topic diff=0.002984, rho=0.025820\n", + "2019-01-31 01:07:46,148 : INFO : PROGRESS: pass 0, at document #3002000/4922894\n", + "2019-01-31 01:07:47,540 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:47,807 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 01:07:47,808 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:07:47,809 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.034*\"raid\" + 0.024*\"rosenwald\" + 0.021*\"traceabl\" + 0.019*\"serv\" + 0.018*\"museo\" + 0.014*\"arsen\" + 0.013*\"oper\" + 0.010*\"brook\"\n", + "2019-01-31 01:07:47,810 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.007*\"théori\" + 0.007*\"exampl\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 01:07:47,812 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.010*\"movi\"\n", + "2019-01-31 01:07:47,817 : INFO : topic diff=0.003965, rho=0.025811\n", + "2019-01-31 01:07:47,975 : INFO : PROGRESS: pass 0, at document #3004000/4922894\n", + "2019-01-31 01:07:49,377 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:49,643 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"francisco\"\n", + "2019-01-31 01:07:49,644 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:07:49,645 : INFO : topic #46 (0.020): 0.016*\"sweden\" + 0.016*\"stop\" + 0.016*\"norwai\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.012*\"wind\" + 0.011*\"danish\" + 0.011*\"denmark\" + 0.010*\"turkish\"\n", + "2019-01-31 01:07:49,646 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.022*\"new\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.012*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:07:49,647 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.022*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:07:49,653 : INFO : topic diff=0.003540, rho=0.025803\n", + "2019-01-31 01:07:49,864 : INFO : PROGRESS: pass 0, at document #3006000/4922894\n", + "2019-01-31 01:07:51,252 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:51,518 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:07:51,519 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"acrimoni\" + 0.011*\"direct\" + 0.010*\"movi\"\n", + "2019-01-31 01:07:51,520 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:07:51,521 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.034*\"raid\" + 0.024*\"rosenwald\" + 0.021*\"traceabl\" + 0.020*\"serv\" + 0.018*\"museo\" + 0.014*\"arsen\" + 0.013*\"oper\" + 0.010*\"brook\"\n", + "2019-01-31 01:07:51,522 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.021*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:07:51,528 : INFO : topic diff=0.003522, rho=0.025794\n", + "2019-01-31 01:07:51,686 : INFO : PROGRESS: pass 0, at document #3008000/4922894\n", + "2019-01-31 01:07:53,094 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:53,370 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.014*\"count\" + 0.013*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:07:53,371 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:07:53,372 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"summerhil\" + 0.006*\"woman\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:07:53,373 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.021*\"folei\" + 0.020*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:07:53,374 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.034*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:07:53,380 : INFO : topic diff=0.003674, rho=0.025786\n", + "2019-01-31 01:07:53,540 : INFO : PROGRESS: pass 0, at document #3010000/4922894\n", + "2019-01-31 01:07:54,944 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:55,210 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.019*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:07:55,211 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:07:55,212 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:07:55,213 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"utopian\"\n", + "2019-01-31 01:07:55,214 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.021*\"folei\" + 0.020*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:07:55,220 : INFO : topic diff=0.003409, rho=0.025777\n", + "2019-01-31 01:07:55,379 : INFO : PROGRESS: pass 0, at document #3012000/4922894\n", + "2019-01-31 01:07:56,776 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:57,042 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:07:57,043 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:07:57,044 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"lobe\" + 0.008*\"vacant\"\n", + "2019-01-31 01:07:57,045 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.071*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"festiv\" + 0.021*\"japanes\" + 0.021*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:07:57,046 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.014*\"arsen\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\"\n", + "2019-01-31 01:07:57,052 : INFO : topic diff=0.003147, rho=0.025768\n", + "2019-01-31 01:07:57,207 : INFO : PROGRESS: pass 0, at document #3014000/4922894\n", + "2019-01-31 01:07:58,585 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:07:58,851 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"francisco\"\n", + "2019-01-31 01:07:58,852 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"democrat\" + 0.023*\"voluntari\" + 0.022*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.013*\"bypass\" + 0.013*\"report\" + 0.013*\"seaport\"\n", + "2019-01-31 01:07:58,853 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:07:58,854 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.020*\"folei\" + 0.020*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:07:58,855 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.026*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"wale\" + 0.015*\"youth\"\n", + "2019-01-31 01:07:58,860 : INFO : topic diff=0.003655, rho=0.025760\n", + "2019-01-31 01:07:59,010 : INFO : PROGRESS: pass 0, at document #3016000/4922894\n", + "2019-01-31 01:08:00,361 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:00,627 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.026*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"wale\" + 0.015*\"youth\"\n", + "2019-01-31 01:08:00,628 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.006*\"till\" + 0.006*\"govern\"\n", + "2019-01-31 01:08:00,629 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.015*\"jewish\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"israel\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:08:00,630 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:08:00,631 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.022*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.013*\"liber\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:08:00,637 : INFO : topic diff=0.004276, rho=0.025751\n", + "2019-01-31 01:08:00,793 : INFO : PROGRESS: pass 0, at document #3018000/4922894\n", + "2019-01-31 01:08:02,150 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:02,418 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"woman\" + 0.029*\"champion\" + 0.024*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:08:02,419 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.008*\"feel\" + 0.008*\"biom\" + 0.008*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.007*\"incom\"\n", + "2019-01-31 01:08:02,420 : INFO : topic #49 (0.020): 0.046*\"india\" + 0.030*\"incumb\" + 0.016*\"pakistan\" + 0.013*\"islam\" + 0.012*\"muskoge\" + 0.012*\"affection\" + 0.012*\"anglo\" + 0.011*\"alam\" + 0.011*\"televis\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:08:02,421 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.030*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.012*\"open\"\n", + "2019-01-31 01:08:02,422 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"francisco\"\n", + "2019-01-31 01:08:02,428 : INFO : topic diff=0.004323, rho=0.025743\n", + "2019-01-31 01:08:05,099 : INFO : -11.657 per-word bound, 3229.3 perplexity estimate based on a held-out corpus of 2000 documents with 541996 words\n", + "2019-01-31 01:08:05,100 : INFO : PROGRESS: pass 0, at document #3020000/4922894\n", + "2019-01-31 01:08:06,479 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:06,745 : INFO : topic #32 (0.020): 0.048*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.024*\"area\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.020*\"adulthood\" + 0.019*\"cede\"\n", + "2019-01-31 01:08:06,746 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:08:06,748 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:08:06,749 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.016*\"colder\" + 0.016*\"pain\" + 0.014*\"western\" + 0.014*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.010*\"blind\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:08:06,750 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.071*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.021*\"japanes\" + 0.019*\"women\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:08:06,755 : INFO : topic diff=0.003816, rho=0.025734\n", + "2019-01-31 01:08:06,911 : INFO : PROGRESS: pass 0, at document #3022000/4922894\n", + "2019-01-31 01:08:08,284 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:08,550 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:08:08,551 : INFO : topic #32 (0.020): 0.048*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.024*\"area\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.020*\"adulthood\" + 0.019*\"cede\"\n", + "2019-01-31 01:08:08,553 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.017*\"quarterli\" + 0.016*\"grammat\" + 0.014*\"count\" + 0.013*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:08:08,554 : INFO : topic #37 (0.020): 0.011*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.007*\"appear\" + 0.007*\"comic\" + 0.006*\"workplac\" + 0.006*\"vision\" + 0.006*\"love\" + 0.006*\"storag\"\n", + "2019-01-31 01:08:08,555 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:08:08,561 : INFO : topic diff=0.003301, rho=0.025726\n", + "2019-01-31 01:08:08,716 : INFO : PROGRESS: pass 0, at document #3024000/4922894\n", + "2019-01-31 01:08:10,075 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:10,344 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:08:10,345 : INFO : topic #20 (0.020): 0.150*\"scholar\" + 0.038*\"high\" + 0.037*\"struggl\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:08:10,346 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:08:10,347 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.023*\"area\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.020*\"adulthood\" + 0.019*\"cede\"\n", + "2019-01-31 01:08:10,348 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"new\" + 0.027*\"sourc\" + 0.026*\"london\" + 0.023*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.015*\"wale\"\n", + "2019-01-31 01:08:10,354 : INFO : topic diff=0.004919, rho=0.025717\n", + "2019-01-31 01:08:10,509 : INFO : PROGRESS: pass 0, at document #3026000/4922894\n", + "2019-01-31 01:08:11,871 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:12,137 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.033*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.012*\"word\" + 0.012*\"olympo\" + 0.012*\"physician\"\n", + "2019-01-31 01:08:12,138 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.009*\"median\" + 0.009*\"biom\" + 0.008*\"feel\" + 0.008*\"western\" + 0.008*\"male\" + 0.008*\"incom\"\n", + "2019-01-31 01:08:12,139 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"summerhil\" + 0.006*\"workplac\"\n", + "2019-01-31 01:08:12,140 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.022*\"bishop\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"cathedr\" + 0.010*\"parish\" + 0.009*\"centuri\"\n", + "2019-01-31 01:08:12,141 : INFO : topic #2 (0.020): 0.053*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:08:12,147 : INFO : topic diff=0.004164, rho=0.025709\n", + "2019-01-31 01:08:12,303 : INFO : PROGRESS: pass 0, at document #3028000/4922894\n", + "2019-01-31 01:08:13,694 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:13,959 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"differ\" + 0.006*\"utopian\"\n", + "2019-01-31 01:08:13,960 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.079*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.070*\"notion\" + 0.070*\"juli\" + 0.068*\"decatur\" + 0.067*\"april\" + 0.067*\"judici\" + 0.067*\"august\"\n", + "2019-01-31 01:08:13,962 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:08:13,963 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"battalion\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"till\"\n", + "2019-01-31 01:08:13,964 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.013*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:08:13,970 : INFO : topic diff=0.004164, rho=0.025700\n", + "2019-01-31 01:08:14,123 : INFO : PROGRESS: pass 0, at document #3030000/4922894\n", + "2019-01-31 01:08:15,489 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:15,756 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.024*\"hoar\" + 0.022*\"toronto\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:08:15,757 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:08:15,758 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:08:15,759 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:08:15,760 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.022*\"bishop\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.010*\"cathedr\" + 0.009*\"centuri\"\n", + "2019-01-31 01:08:15,766 : INFO : topic diff=0.004628, rho=0.025692\n", + "2019-01-31 01:08:15,921 : INFO : PROGRESS: pass 0, at document #3032000/4922894\n", + "2019-01-31 01:08:17,289 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:17,556 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.018*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.012*\"physician\" + 0.012*\"word\" + 0.012*\"olympo\"\n", + "2019-01-31 01:08:17,557 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.022*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"selma\" + 0.013*\"liber\"\n", + "2019-01-31 01:08:17,558 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:08:17,559 : INFO : topic #2 (0.020): 0.053*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:08:17,560 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:08:17,566 : INFO : topic diff=0.002821, rho=0.025683\n", + "2019-01-31 01:08:17,728 : INFO : PROGRESS: pass 0, at document #3034000/4922894\n", + "2019-01-31 01:08:19,136 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:19,405 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.022*\"reprint\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:08:19,406 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"battalion\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"till\"\n", + "2019-01-31 01:08:19,407 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"trade\" + 0.009*\"origin\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:08:19,408 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.008*\"includ\" + 0.007*\"base\"\n", + "2019-01-31 01:08:19,410 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:08:19,415 : INFO : topic diff=0.005355, rho=0.025675\n", + "2019-01-31 01:08:19,567 : INFO : PROGRESS: pass 0, at document #3036000/4922894\n", + "2019-01-31 01:08:20,902 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:21,168 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:08:21,169 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.015*\"arsen\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.012*\"collect\" + 0.011*\"storag\" + 0.011*\"nicola\"\n", + "2019-01-31 01:08:21,171 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.015*\"ret\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 01:08:21,172 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"pain\" + 0.014*\"western\" + 0.014*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.010*\"blind\"\n", + "2019-01-31 01:08:21,173 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:08:21,179 : INFO : topic diff=0.004771, rho=0.025666\n", + "2019-01-31 01:08:21,334 : INFO : PROGRESS: pass 0, at document #3038000/4922894\n", + "2019-01-31 01:08:22,713 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:22,979 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"serv\" + 0.022*\"govern\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:08:22,980 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.015*\"ret\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 01:08:22,981 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:22,982 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"pain\" + 0.014*\"western\" + 0.014*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.010*\"blind\"\n", + "2019-01-31 01:08:22,983 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.015*\"jewish\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:08:22,989 : INFO : topic diff=0.003575, rho=0.025658\n", + "2019-01-31 01:08:25,738 : INFO : -11.663 per-word bound, 3243.6 perplexity estimate based on a held-out corpus of 2000 documents with 565012 words\n", + "2019-01-31 01:08:25,739 : INFO : PROGRESS: pass 0, at document #3040000/4922894\n", + "2019-01-31 01:08:27,108 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:27,375 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"colder\" + 0.016*\"pain\" + 0.014*\"western\" + 0.014*\"black\" + 0.011*\"record\" + 0.010*\"depress\" + 0.010*\"blind\"\n", + "2019-01-31 01:08:27,376 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.023*\"hoar\" + 0.023*\"toronto\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"novotná\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:08:27,377 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"wander\"\n", + "2019-01-31 01:08:27,378 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:27,379 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"differ\"\n", + "2019-01-31 01:08:27,385 : INFO : topic diff=0.003932, rho=0.025649\n", + "2019-01-31 01:08:27,536 : INFO : PROGRESS: pass 0, at document #3042000/4922894\n", + "2019-01-31 01:08:28,874 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:29,140 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.034*\"raid\" + 0.023*\"rosenwald\" + 0.021*\"traceabl\" + 0.020*\"serv\" + 0.017*\"museo\" + 0.014*\"oper\" + 0.012*\"arsen\" + 0.010*\"radiu\"\n", + "2019-01-31 01:08:29,141 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:29,143 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.006*\"summerhil\" + 0.006*\"woman\"\n", + "2019-01-31 01:08:29,144 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 01:08:29,145 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.017*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 01:08:29,151 : INFO : topic diff=0.005300, rho=0.025641\n", + "2019-01-31 01:08:29,311 : INFO : PROGRESS: pass 0, at document #3044000/4922894\n", + "2019-01-31 01:08:30,726 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:30,992 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.012*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"itali\" + 0.010*\"carlo\"\n", + "2019-01-31 01:08:30,993 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.011*\"movi\"\n", + "2019-01-31 01:08:30,995 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:08:30,996 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.015*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"yawn\"\n", + "2019-01-31 01:08:30,997 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:08:31,003 : INFO : topic diff=0.004402, rho=0.025633\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:08:31,158 : INFO : PROGRESS: pass 0, at document #3046000/4922894\n", + "2019-01-31 01:08:32,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:32,799 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.009*\"biom\" + 0.008*\"feel\" + 0.008*\"western\" + 0.008*\"male\" + 0.008*\"median\" + 0.007*\"incom\"\n", + "2019-01-31 01:08:32,800 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:08:32,802 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:32,803 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:08:32,804 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"bahá\" + 0.010*\"nativist\" + 0.009*\"fleet\"\n", + "2019-01-31 01:08:32,809 : INFO : topic diff=0.004820, rho=0.025624\n", + "2019-01-31 01:08:32,966 : INFO : PROGRESS: pass 0, at document #3048000/4922894\n", + "2019-01-31 01:08:34,354 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:34,621 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.018*\"theater\" + 0.017*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.012*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 01:08:34,622 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.018*\"new\" + 0.015*\"arsen\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.010*\"storag\" + 0.010*\"worldwid\"\n", + "2019-01-31 01:08:34,623 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:08:34,624 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:08:34,625 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:08:34,631 : INFO : topic diff=0.003406, rho=0.025616\n", + "2019-01-31 01:08:34,788 : INFO : PROGRESS: pass 0, at document #3050000/4922894\n", + "2019-01-31 01:08:36,178 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:36,445 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"swedish\" + 0.016*\"stop\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.012*\"treeless\" + 0.012*\"wind\" + 0.011*\"denmark\" + 0.011*\"danish\"\n", + "2019-01-31 01:08:36,446 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.023*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.021*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:08:36,447 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:08:36,448 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:08:36,449 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:08:36,455 : INFO : topic diff=0.003313, rho=0.025607\n", + "2019-01-31 01:08:36,614 : INFO : PROGRESS: pass 0, at document #3052000/4922894\n", + "2019-01-31 01:08:38,012 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:38,279 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:08:38,280 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.033*\"priest\" + 0.023*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.017*\"rotterdam\" + 0.017*\"grammat\" + 0.013*\"princ\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 01:08:38,281 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:08:38,282 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:38,283 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.007*\"théori\" + 0.007*\"exampl\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.005*\"servitud\" + 0.005*\"differ\"\n", + "2019-01-31 01:08:38,289 : INFO : topic diff=0.003767, rho=0.025599\n", + "2019-01-31 01:08:38,453 : INFO : PROGRESS: pass 0, at document #3054000/4922894\n", + "2019-01-31 01:08:39,833 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:40,102 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.024*\"poison\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"czech\"\n", + "2019-01-31 01:08:40,103 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"ancestor\" + 0.007*\"known\"\n", + "2019-01-31 01:08:40,104 : INFO : topic #20 (0.020): 0.150*\"scholar\" + 0.039*\"struggl\" + 0.038*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"task\" + 0.010*\"class\"\n", + "2019-01-31 01:08:40,105 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"women\"\n", + "2019-01-31 01:08:40,106 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.009*\"feel\" + 0.009*\"male\" + 0.009*\"median\" + 0.009*\"biom\" + 0.008*\"western\" + 0.008*\"incom\"\n", + "2019-01-31 01:08:40,112 : INFO : topic diff=0.003038, rho=0.025591\n", + "2019-01-31 01:08:40,268 : INFO : PROGRESS: pass 0, at document #3056000/4922894\n", + "2019-01-31 01:08:41,640 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:41,906 : INFO : topic #30 (0.020): 0.037*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:08:41,907 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:41,908 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"women\"\n", + "2019-01-31 01:08:41,909 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:08:41,910 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:08:41,916 : INFO : topic diff=0.004023, rho=0.025582\n", + "2019-01-31 01:08:42,071 : INFO : PROGRESS: pass 0, at document #3058000/4922894\n", + "2019-01-31 01:08:43,431 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:08:43,697 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.018*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.015*\"orchestr\" + 0.015*\"damn\" + 0.012*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 01:08:43,698 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.012*\"aza\" + 0.009*\"battalion\" + 0.009*\"teufel\" + 0.009*\"forc\" + 0.007*\"till\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:08:43,700 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:08:43,701 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.006*\"summerhil\" + 0.006*\"woman\"\n", + "2019-01-31 01:08:43,702 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.021*\"requir\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:08:43,707 : INFO : topic diff=0.003612, rho=0.025574\n", + "2019-01-31 01:08:46,497 : INFO : -12.020 per-word bound, 4154.6 perplexity estimate based on a held-out corpus of 2000 documents with 579488 words\n", + "2019-01-31 01:08:46,497 : INFO : PROGRESS: pass 0, at document #3060000/4922894\n", + "2019-01-31 01:08:47,921 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:48,187 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"orchestr\" + 0.014*\"damn\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:08:48,188 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.028*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"rainfal\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:08:48,189 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.021*\"requir\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:08:48,190 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.030*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 01:08:48,191 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"modern\"\n", + "2019-01-31 01:08:48,197 : INFO : topic diff=0.003568, rho=0.025565\n", + "2019-01-31 01:08:48,352 : INFO : PROGRESS: pass 0, at document #3062000/4922894\n", + "2019-01-31 01:08:49,732 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:49,997 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.030*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"martin\" + 0.013*\"women\"\n", + "2019-01-31 01:08:49,998 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:08:50,000 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.010*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"encyclopedia\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:08:50,001 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.033*\"priest\" + 0.022*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.017*\"rotterdam\" + 0.013*\"princ\" + 0.013*\"brazil\" + 0.013*\"count\"\n", + "2019-01-31 01:08:50,001 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.027*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:08:50,007 : INFO : topic diff=0.003337, rho=0.025557\n", + "2019-01-31 01:08:50,166 : INFO : PROGRESS: pass 0, at document #3064000/4922894\n", + "2019-01-31 01:08:51,568 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:51,834 : INFO : topic #49 (0.020): 0.046*\"india\" + 0.029*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"muskoge\" + 0.011*\"alam\" + 0.011*\"affection\" + 0.011*\"televis\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:08:51,835 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.005*\"utopian\" + 0.005*\"differ\" + 0.005*\"servitud\"\n", + "2019-01-31 01:08:51,836 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.015*\"strategist\" + 0.014*\"center\" + 0.013*\"open\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:08:51,837 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:08:51,838 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:08:51,844 : INFO : topic diff=0.004235, rho=0.025549\n", + "2019-01-31 01:08:52,004 : INFO : PROGRESS: pass 0, at document #3066000/4922894\n", + "2019-01-31 01:08:53,405 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:53,675 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:08:53,676 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:53,677 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.030*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 01:08:53,678 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:08:53,679 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:08:53,685 : INFO : topic diff=0.004608, rho=0.025540\n", + "2019-01-31 01:08:53,837 : INFO : PROGRESS: pass 0, at document #3068000/4922894\n", + "2019-01-31 01:08:55,188 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:55,454 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.021*\"requir\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:08:55,455 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.010*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"encyclopedia\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:08:55,456 : INFO : topic #2 (0.020): 0.053*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:08:55,457 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"vacant\" + 0.008*\"lobe\"\n", + "2019-01-31 01:08:55,458 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"modern\"\n", + "2019-01-31 01:08:55,464 : INFO : topic diff=0.004271, rho=0.025532\n", + "2019-01-31 01:08:55,678 : INFO : PROGRESS: pass 0, at document #3070000/4922894\n", + "2019-01-31 01:08:57,087 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:08:57,354 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.030*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"martin\" + 0.013*\"women\"\n", + "2019-01-31 01:08:57,355 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.013*\"seaport\"\n", + "2019-01-31 01:08:57,356 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"octob\" + 0.075*\"sens\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.069*\"juli\" + 0.067*\"august\" + 0.066*\"decatur\" + 0.066*\"judici\" + 0.066*\"april\"\n", + "2019-01-31 01:08:57,357 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.005*\"differ\" + 0.005*\"measur\"\n", + "2019-01-31 01:08:57,358 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.035*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:08:57,363 : INFO : topic diff=0.003679, rho=0.025524\n", + "2019-01-31 01:08:57,518 : INFO : PROGRESS: pass 0, at document #3072000/4922894\n", + "2019-01-31 01:08:58,891 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:08:59,158 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:08:59,159 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.077*\"octob\" + 0.075*\"sens\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.066*\"decatur\" + 0.066*\"august\" + 0.065*\"april\" + 0.065*\"judici\"\n", + "2019-01-31 01:08:59,161 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:08:59,162 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.010*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.008*\"human\" + 0.007*\"woman\" + 0.006*\"workplac\"\n", + "2019-01-31 01:08:59,163 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:08:59,168 : INFO : topic diff=0.004168, rho=0.025516\n", + "2019-01-31 01:08:59,324 : INFO : PROGRESS: pass 0, at document #3074000/4922894\n", + "2019-01-31 01:09:00,713 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:00,979 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:09:00,980 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.047*\"american\" + 0.031*\"valour\" + 0.020*\"dutch\" + 0.019*\"folei\" + 0.019*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.013*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:09:00,981 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"western\" + 0.009*\"median\" + 0.008*\"male\" + 0.008*\"feel\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:09:00,982 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.077*\"octob\" + 0.075*\"sens\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.066*\"decatur\" + 0.066*\"august\" + 0.066*\"april\" + 0.065*\"judici\"\n", + "2019-01-31 01:09:00,983 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.035*\"sovereignti\" + 0.035*\"rural\" + 0.027*\"personifi\" + 0.024*\"reprint\" + 0.023*\"poison\" + 0.021*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:09:00,989 : INFO : topic diff=0.004360, rho=0.025507\n", + "2019-01-31 01:09:01,151 : INFO : PROGRESS: pass 0, at document #3076000/4922894\n", + "2019-01-31 01:09:02,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:02,802 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:09:02,803 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:09:02,804 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.019*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"novotná\" + 0.014*\"new\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:09:02,805 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.023*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.018*\"rotterdam\" + 0.013*\"princ\" + 0.013*\"count\" + 0.012*\"brazil\"\n", + "2019-01-31 01:09:02,806 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"western\" + 0.009*\"feel\" + 0.009*\"median\" + 0.008*\"male\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:09:02,812 : INFO : topic diff=0.003791, rho=0.025499\n", + "2019-01-31 01:09:02,968 : INFO : PROGRESS: pass 0, at document #3078000/4922894\n", + "2019-01-31 01:09:04,344 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:04,611 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.018*\"buford\" + 0.017*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"depress\" + 0.011*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:09:04,612 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.013*\"proclaim\" + 0.013*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:09:04,613 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:09:04,614 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:09:04,615 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"swedish\" + 0.016*\"stop\" + 0.016*\"norwai\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.012*\"treeless\" + 0.012*\"damag\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:09:04,621 : INFO : topic diff=0.003783, rho=0.025491\n", + "2019-01-31 01:09:07,312 : INFO : -11.967 per-word bound, 4003.4 perplexity estimate based on a held-out corpus of 2000 documents with 561897 words\n", + "2019-01-31 01:09:07,312 : INFO : PROGRESS: pass 0, at document #3080000/4922894\n", + "2019-01-31 01:09:08,685 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:08,951 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.016*\"italian\" + 0.016*\"mexico\" + 0.012*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"itali\" + 0.010*\"francisco\"\n", + "2019-01-31 01:09:08,952 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"selma\" + 0.013*\"seaport\"\n", + "2019-01-31 01:09:08,953 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:09:08,954 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.027*\"new\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:09:08,955 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:09:08,961 : INFO : topic diff=0.004487, rho=0.025482\n", + "2019-01-31 01:09:09,115 : INFO : PROGRESS: pass 0, at document #3082000/4922894\n", + "2019-01-31 01:09:10,473 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:09:10,740 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:09:10,741 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.005*\"differ\" + 0.005*\"method\"\n", + "2019-01-31 01:09:10,742 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.030*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.014*\"martin\" + 0.013*\"winner\"\n", + "2019-01-31 01:09:10,743 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.012*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:09:10,744 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"vacant\"\n", + "2019-01-31 01:09:10,750 : INFO : topic diff=0.004358, rho=0.025474\n", + "2019-01-31 01:09:10,905 : INFO : PROGRESS: pass 0, at document #3084000/4922894\n", + "2019-01-31 01:09:12,282 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:12,549 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.034*\"raid\" + 0.025*\"rosenwald\" + 0.021*\"traceabl\" + 0.020*\"serv\" + 0.015*\"museo\" + 0.014*\"oper\" + 0.010*\"radiu\" + 0.010*\"brook\"\n", + "2019-01-31 01:09:12,550 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"anim\" + 0.007*\"appear\" + 0.007*\"comic\" + 0.006*\"workplac\" + 0.006*\"love\" + 0.006*\"dixi\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:09:12,551 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:09:12,552 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:09:12,553 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.027*\"word\" + 0.018*\"new\" + 0.015*\"arsen\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.010*\"author\" + 0.010*\"worldwid\"\n", + "2019-01-31 01:09:12,559 : INFO : topic diff=0.004597, rho=0.025466\n", + "2019-01-31 01:09:12,717 : INFO : PROGRESS: pass 0, at document #3086000/4922894\n", + "2019-01-31 01:09:14,105 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:14,371 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:09:14,372 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.029*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.017*\"alic\"\n", + "2019-01-31 01:09:14,373 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"francisco\" + 0.010*\"itali\"\n", + "2019-01-31 01:09:14,374 : INFO : topic #49 (0.020): 0.046*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.011*\"alam\" + 0.011*\"affection\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:09:14,375 : INFO : topic #29 (0.020): 0.029*\"companhia\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:09:14,380 : INFO : topic diff=0.003159, rho=0.025458\n", + "2019-01-31 01:09:14,539 : INFO : PROGRESS: pass 0, at document #3088000/4922894\n", + "2019-01-31 01:09:15,937 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:16,203 : INFO : topic #20 (0.020): 0.150*\"scholar\" + 0.039*\"struggl\" + 0.037*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"class\" + 0.009*\"gothic\"\n", + "2019-01-31 01:09:16,205 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\" + 0.007*\"championship\" + 0.007*\"softwar\"\n", + "2019-01-31 01:09:16,205 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:09:16,206 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.018*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"depress\" + 0.011*\"linear\" + 0.010*\"strategist\"\n", + "2019-01-31 01:09:16,207 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:09:16,213 : INFO : topic diff=0.004542, rho=0.025449\n", + "2019-01-31 01:09:16,374 : INFO : PROGRESS: pass 0, at document #3090000/4922894\n", + "2019-01-31 01:09:17,741 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:18,010 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:09:18,011 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"method\" + 0.006*\"southern\" + 0.005*\"differ\"\n", + "2019-01-31 01:09:18,012 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:09:18,013 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.026*\"hous\" + 0.018*\"rivièr\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:09:18,014 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:09:18,020 : INFO : topic diff=0.004041, rho=0.025441\n", + "2019-01-31 01:09:18,173 : INFO : PROGRESS: pass 0, at document #3092000/4922894\n", + "2019-01-31 01:09:19,535 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:19,801 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.032*\"priest\" + 0.021*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"grammat\" + 0.018*\"quarterli\" + 0.018*\"rotterdam\" + 0.013*\"count\" + 0.012*\"princ\" + 0.012*\"brazil\"\n", + "2019-01-31 01:09:19,802 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.022*\"poison\" + 0.021*\"moscow\" + 0.016*\"unfortun\" + 0.016*\"poland\" + 0.014*\"czech\"\n", + "2019-01-31 01:09:19,804 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.047*\"franc\" + 0.034*\"pari\" + 0.027*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:09:19,805 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.007*\"théori\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"method\" + 0.005*\"southern\" + 0.005*\"differ\"\n", + "2019-01-31 01:09:19,806 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:09:19,812 : INFO : topic diff=0.003703, rho=0.025433\n", + "2019-01-31 01:09:19,965 : INFO : PROGRESS: pass 0, at document #3094000/4922894\n", + "2019-01-31 01:09:21,325 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:21,592 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.056*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"selma\" + 0.014*\"bypass\" + 0.013*\"seaport\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:09:21,593 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.048*\"american\" + 0.030*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.013*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:09:21,594 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:09:21,595 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"pain\" + 0.017*\"colder\" + 0.014*\"black\" + 0.013*\"western\" + 0.011*\"arsen\" + 0.011*\"record\" + 0.010*\"depress\"\n", + "2019-01-31 01:09:21,596 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:09:21,602 : INFO : topic diff=0.003716, rho=0.025425\n", + "2019-01-31 01:09:21,758 : INFO : PROGRESS: pass 0, at document #3096000/4922894\n", + "2019-01-31 01:09:23,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:23,410 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.048*\"american\" + 0.030*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.019*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.013*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:09:23,411 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.046*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:09:23,412 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"median\" + 0.009*\"western\" + 0.009*\"feel\" + 0.009*\"male\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:09:23,413 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:09:23,414 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.029*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"alic\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:09:23,419 : INFO : topic diff=0.003893, rho=0.025416\n", + "2019-01-31 01:09:23,581 : INFO : PROGRESS: pass 0, at document #3098000/4922894\n", + "2019-01-31 01:09:24,993 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:25,259 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:09:25,261 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"pain\" + 0.016*\"colder\" + 0.014*\"black\" + 0.013*\"western\" + 0.011*\"arsen\" + 0.011*\"record\" + 0.010*\"depress\"\n", + "2019-01-31 01:09:25,261 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:09:25,262 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:09:25,263 : INFO : topic #17 (0.020): 0.081*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.016*\"sail\" + 0.009*\"poll\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:09:25,269 : INFO : topic diff=0.004811, rho=0.025408\n", + "2019-01-31 01:09:27,896 : INFO : -11.690 per-word bound, 3303.2 perplexity estimate based on a held-out corpus of 2000 documents with 515509 words\n", + "2019-01-31 01:09:27,896 : INFO : PROGRESS: pass 0, at document #3100000/4922894\n", + "2019-01-31 01:09:29,246 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:29,512 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"median\" + 0.009*\"western\" + 0.009*\"male\" + 0.008*\"biom\" + 0.008*\"feel\" + 0.008*\"incom\"\n", + "2019-01-31 01:09:29,514 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:09:29,515 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"govern\" + 0.007*\"militari\"\n", + "2019-01-31 01:09:29,516 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.012*\"bank\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:09:29,517 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:09:29,523 : INFO : topic diff=0.003987, rho=0.025400\n", + "2019-01-31 01:09:29,736 : INFO : PROGRESS: pass 0, at document #3102000/4922894\n", + "2019-01-31 01:09:31,145 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:31,415 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:09:31,416 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:09:31,417 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.024*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.016*\"retroflex\" + 0.016*\"sail\" + 0.009*\"poll\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:09:31,418 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.047*\"franc\" + 0.034*\"pari\" + 0.026*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:09:31,419 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:09:31,425 : INFO : topic diff=0.003505, rho=0.025392\n", + "2019-01-31 01:09:31,587 : INFO : PROGRESS: pass 0, at document #3104000/4922894\n", + "2019-01-31 01:09:33,012 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:33,279 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:09:33,280 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:09:33,281 : INFO : topic #16 (0.020): 0.058*\"king\" + 0.032*\"priest\" + 0.021*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.018*\"rotterdam\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.012*\"princ\"\n", + "2019-01-31 01:09:33,282 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.017*\"swedish\" + 0.017*\"norwai\" + 0.016*\"stop\" + 0.015*\"norwegian\" + 0.013*\"wind\" + 0.012*\"damag\" + 0.012*\"turkish\" + 0.012*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:09:33,283 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.017*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.008*\"lobe\" + 0.008*\"foam\"\n", + "2019-01-31 01:09:33,289 : INFO : topic diff=0.003661, rho=0.025384\n", + "2019-01-31 01:09:33,447 : INFO : PROGRESS: pass 0, at document #3106000/4922894\n", + "2019-01-31 01:09:34,830 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:35,096 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:09:35,097 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.056*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"selma\" + 0.014*\"bypass\" + 0.013*\"seaport\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:09:35,098 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:09:35,099 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:09:35,100 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:09:35,106 : INFO : topic diff=0.004011, rho=0.025375\n", + "2019-01-31 01:09:35,261 : INFO : PROGRESS: pass 0, at document #3108000/4922894\n", + "2019-01-31 01:09:36,631 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:36,897 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"appear\" + 0.007*\"comic\" + 0.006*\"workplac\" + 0.006*\"love\" + 0.006*\"vision\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:09:36,898 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:09:36,899 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"new\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:09:36,900 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.009*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"encyclopedia\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:09:36,901 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.017*\"norwai\" + 0.015*\"norwegian\" + 0.013*\"damag\" + 0.013*\"wind\" + 0.012*\"turkish\" + 0.012*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:09:36,907 : INFO : topic diff=0.003738, rho=0.025367\n", + "2019-01-31 01:09:37,068 : INFO : PROGRESS: pass 0, at document #3110000/4922894\n", + "2019-01-31 01:09:38,541 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:38,808 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"octob\" + 0.076*\"sens\" + 0.071*\"januari\" + 0.070*\"juli\" + 0.069*\"notion\" + 0.068*\"august\" + 0.067*\"decatur\" + 0.066*\"april\" + 0.066*\"judici\"\n", + "2019-01-31 01:09:38,810 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:09:38,811 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:09:38,812 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:09:38,813 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:09:38,819 : INFO : topic diff=0.003766, rho=0.025359\n", + "2019-01-31 01:09:38,974 : INFO : PROGRESS: pass 0, at document #3112000/4922894\n", + "2019-01-31 01:09:40,333 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:40,598 : INFO : topic #17 (0.020): 0.081*\"church\" + 0.024*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.016*\"retroflex\" + 0.016*\"sail\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"poll\" + 0.009*\"parish\"\n", + "2019-01-31 01:09:40,599 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.016*\"quebec\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.013*\"novotná\"\n", + "2019-01-31 01:09:40,600 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"alam\" + 0.010*\"affection\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:09:40,601 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"male\" + 0.009*\"median\" + 0.008*\"western\" + 0.008*\"feel\" + 0.008*\"biom\" + 0.008*\"incom\"\n", + "2019-01-31 01:09:40,602 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.026*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:09:40,608 : INFO : topic diff=0.004149, rho=0.025351\n", + "2019-01-31 01:09:40,767 : INFO : PROGRESS: pass 0, at document #3114000/4922894\n", + "2019-01-31 01:09:42,143 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:42,409 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.025*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:09:42,410 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:09:42,411 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:09:42,412 : INFO : topic #20 (0.020): 0.149*\"scholar\" + 0.040*\"struggl\" + 0.036*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n", + "2019-01-31 01:09:42,413 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.017*\"alic\"\n", + "2019-01-31 01:09:42,419 : INFO : topic diff=0.004726, rho=0.025343\n", + "2019-01-31 01:09:42,578 : INFO : PROGRESS: pass 0, at document #3116000/4922894\n", + "2019-01-31 01:09:43,971 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:44,238 : INFO : topic #20 (0.020): 0.149*\"scholar\" + 0.040*\"struggl\" + 0.036*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n", + "2019-01-31 01:09:44,239 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"appear\" + 0.007*\"comic\" + 0.006*\"workplac\" + 0.006*\"vision\" + 0.006*\"love\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:09:44,240 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.071*\"best\" + 0.037*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:09:44,241 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.009*\"male\" + 0.008*\"median\" + 0.008*\"western\" + 0.008*\"feel\" + 0.008*\"incom\"\n", + "2019-01-31 01:09:44,242 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:09:44,248 : INFO : topic diff=0.003409, rho=0.025335\n", + "2019-01-31 01:09:44,407 : INFO : PROGRESS: pass 0, at document #3118000/4922894\n", + "2019-01-31 01:09:45,776 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:46,042 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.016*\"arsen\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.010*\"magazin\" + 0.010*\"author\"\n", + "2019-01-31 01:09:46,044 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"ret\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"champion\"\n", + "2019-01-31 01:09:46,045 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"stop\" + 0.017*\"swedish\" + 0.017*\"norwai\" + 0.016*\"norwegian\" + 0.013*\"wind\" + 0.013*\"damag\" + 0.012*\"denmark\" + 0.011*\"turkish\" + 0.011*\"huntsvil\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:09:46,046 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.008*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:09:46,047 : INFO : topic #6 (0.020): 0.072*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:09:46,053 : INFO : topic diff=0.003315, rho=0.025327\n", + "2019-01-31 01:09:48,690 : INFO : -11.655 per-word bound, 3225.1 perplexity estimate based on a held-out corpus of 2000 documents with 526146 words\n", + "2019-01-31 01:09:48,690 : INFO : PROGRESS: pass 0, at document #3120000/4922894\n", + "2019-01-31 01:09:50,043 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:50,312 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:09:50,313 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"workplac\" + 0.006*\"vision\" + 0.006*\"love\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:09:50,314 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.045*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:09:50,315 : INFO : topic #20 (0.020): 0.148*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n", + "2019-01-31 01:09:50,316 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:09:50,322 : INFO : topic diff=0.003679, rho=0.025318\n", + "2019-01-31 01:09:50,480 : INFO : PROGRESS: pass 0, at document #3122000/4922894\n", + "2019-01-31 01:09:51,858 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:52,124 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:09:52,125 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:09:52,126 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:09:52,127 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.026*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.018*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:09:52,128 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.016*\"arsen\" + 0.013*\"presid\" + 0.013*\"edit\" + 0.011*\"collect\" + 0.010*\"magazin\" + 0.010*\"author\"\n", + "2019-01-31 01:09:52,135 : INFO : topic diff=0.003936, rho=0.025310\n", + "2019-01-31 01:09:52,295 : INFO : PROGRESS: pass 0, at document #3124000/4922894\n", + "2019-01-31 01:09:53,696 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:53,963 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"traceabl\" + 0.020*\"serv\" + 0.014*\"oper\" + 0.012*\"museo\" + 0.010*\"radiu\" + 0.010*\"transient\"\n", + "2019-01-31 01:09:53,964 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:09:53,965 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.018*\"rivièr\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:09:53,966 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:09:53,967 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:09:53,973 : INFO : topic diff=0.004002, rho=0.025302\n", + "2019-01-31 01:09:54,133 : INFO : PROGRESS: pass 0, at document #3126000/4922894\n", + "2019-01-31 01:09:55,512 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:55,778 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"australia\" + 0.026*\"new\" + 0.026*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:09:55,779 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.016*\"hydrogen\" + 0.016*\"quebec\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"novotná\"\n", + "2019-01-31 01:09:55,780 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"stop\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"norwegian\" + 0.013*\"wind\" + 0.013*\"damag\" + 0.012*\"denmark\" + 0.012*\"turkish\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:09:55,781 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"alic\"\n", + "2019-01-31 01:09:55,783 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:09:55,788 : INFO : topic diff=0.003506, rho=0.025294\n", + "2019-01-31 01:09:55,942 : INFO : PROGRESS: pass 0, at document #3128000/4922894\n", + "2019-01-31 01:09:57,298 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:57,565 : INFO : topic #16 (0.020): 0.060*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.013*\"count\" + 0.013*\"brazil\" + 0.012*\"princ\"\n", + "2019-01-31 01:09:57,565 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.046*\"american\" + 0.032*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:09:57,567 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"kill\" + 0.006*\"dai\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:09:57,568 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.018*\"rivièr\" + 0.014*\"histor\" + 0.012*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:09:57,569 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"traceabl\" + 0.020*\"serv\" + 0.014*\"oper\" + 0.012*\"museo\" + 0.011*\"brook\" + 0.011*\"transient\"\n", + "2019-01-31 01:09:57,575 : INFO : topic diff=0.003521, rho=0.025286\n", + "2019-01-31 01:09:57,732 : INFO : PROGRESS: pass 0, at document #3130000/4922894\n", + "2019-01-31 01:09:59,104 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:09:59,372 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:09:59,373 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.007*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:09:59,374 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:09:59,375 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:09:59,376 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"traceabl\" + 0.020*\"serv\" + 0.014*\"oper\" + 0.012*\"museo\" + 0.011*\"brook\" + 0.011*\"transient\"\n", + "2019-01-31 01:09:59,382 : INFO : topic diff=0.003754, rho=0.025278\n", + "2019-01-31 01:09:59,539 : INFO : PROGRESS: pass 0, at document #3132000/4922894\n", + "2019-01-31 01:10:00,914 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:01,181 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:10:01,182 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.026*\"hous\" + 0.018*\"buford\" + 0.017*\"rivièr\" + 0.013*\"histor\" + 0.011*\"briarwood\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:10:01,183 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:10:01,184 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:10:01,185 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.046*\"american\" + 0.032*\"valour\" + 0.020*\"folei\" + 0.018*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:10:01,191 : INFO : topic diff=0.003819, rho=0.025270\n", + "2019-01-31 01:10:01,351 : INFO : PROGRESS: pass 0, at document #3134000/4922894\n", + "2019-01-31 01:10:02,747 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:03,013 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.016*\"arsen\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.010*\"author\" + 0.010*\"magazin\"\n", + "2019-01-31 01:10:03,014 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:10:03,015 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:10:03,016 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:10:03,017 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.013*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:10:03,023 : INFO : topic diff=0.003940, rho=0.025262\n", + "2019-01-31 01:10:03,242 : INFO : PROGRESS: pass 0, at document #3136000/4922894\n", + "2019-01-31 01:10:04,637 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:04,903 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.035*\"tortur\" + 0.032*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:10:04,905 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:10:04,906 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:10:04,907 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"sri\"\n", + "2019-01-31 01:10:04,908 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:10:04,913 : INFO : topic diff=0.003994, rho=0.025254\n", + "2019-01-31 01:10:05,071 : INFO : PROGRESS: pass 0, at document #3138000/4922894\n", + "2019-01-31 01:10:06,456 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:06,722 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 01:10:06,723 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.043*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:10:06,724 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"cathol\" + 0.024*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"poll\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:10:06,725 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.033*\"priest\" + 0.019*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"quarterli\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.013*\"brazil\"\n", + "2019-01-31 01:10:06,726 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.012*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:10:06,732 : INFO : topic diff=0.004529, rho=0.025246\n", + "2019-01-31 01:10:09,457 : INFO : -11.574 per-word bound, 3048.9 perplexity estimate based on a held-out corpus of 2000 documents with 568793 words\n", + "2019-01-31 01:10:09,457 : INFO : PROGRESS: pass 0, at document #3140000/4922894\n", + "2019-01-31 01:10:10,844 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:11,111 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"biom\" + 0.009*\"western\" + 0.008*\"male\" + 0.008*\"median\" + 0.008*\"feel\" + 0.007*\"incom\"\n", + "2019-01-31 01:10:11,112 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:10:11,113 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:10:11,114 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:10:11,115 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"australia\" + 0.026*\"new\" + 0.026*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:10:11,120 : INFO : topic diff=0.003668, rho=0.025238\n", + "2019-01-31 01:10:11,282 : INFO : PROGRESS: pass 0, at document #3142000/4922894\n", + "2019-01-31 01:10:12,685 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:12,952 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:10:12,953 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:10:12,954 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.010*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"class\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:10:12,955 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"pain\" + 0.016*\"colder\" + 0.013*\"black\" + 0.013*\"western\" + 0.012*\"arsen\" + 0.011*\"depress\" + 0.010*\"record\"\n", + "2019-01-31 01:10:12,956 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.024*\"cathol\" + 0.024*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"poll\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:10:12,962 : INFO : topic diff=0.004457, rho=0.025230\n", + "2019-01-31 01:10:13,120 : INFO : PROGRESS: pass 0, at document #3144000/4922894\n", + "2019-01-31 01:10:14,513 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:14,779 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:10:14,780 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:10:14,781 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"nation\"\n", + "2019-01-31 01:10:14,782 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.033*\"priest\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.013*\"brazil\"\n", + "2019-01-31 01:10:14,783 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.044*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:10:14,789 : INFO : topic diff=0.003676, rho=0.025222\n", + "2019-01-31 01:10:14,942 : INFO : PROGRESS: pass 0, at document #3146000/4922894\n", + "2019-01-31 01:10:16,295 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:16,562 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:10:16,563 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"théori\" + 0.007*\"utopian\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"differ\" + 0.006*\"southern\"\n", + "2019-01-31 01:10:16,564 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 01:10:16,565 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:10:16,566 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"gastrointestin\"\n", + "2019-01-31 01:10:16,572 : INFO : topic diff=0.004447, rho=0.025214\n", + "2019-01-31 01:10:16,726 : INFO : PROGRESS: pass 0, at document #3148000/4922894\n", + "2019-01-31 01:10:18,107 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:18,374 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:10:18,375 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:10:18,376 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.026*\"new\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:10:18,377 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.072*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.012*\"winner\"\n", + "2019-01-31 01:10:18,378 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:10:18,384 : INFO : topic diff=0.003971, rho=0.025206\n", + "2019-01-31 01:10:18,542 : INFO : PROGRESS: pass 0, at document #3150000/4922894\n", + "2019-01-31 01:10:19,924 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:20,191 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.024*\"cathol\" + 0.024*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"poll\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:10:20,192 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.013*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"mexican–american\" + 0.010*\"rival\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:10:20,193 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:10:20,194 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.008*\"appear\" + 0.007*\"comic\" + 0.006*\"workplac\" + 0.006*\"vision\" + 0.006*\"storag\" + 0.006*\"love\"\n", + "2019-01-31 01:10:20,196 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:10:20,202 : INFO : topic diff=0.003900, rho=0.025198\n", + "2019-01-31 01:10:20,361 : INFO : PROGRESS: pass 0, at document #3152000/4922894\n", + "2019-01-31 01:10:21,759 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:22,027 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"loui\" + 0.014*\"lazi\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:10:22,028 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:10:22,029 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:10:22,030 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.024*\"fifteenth\" + 0.018*\"illicit\" + 0.017*\"pain\" + 0.016*\"colder\" + 0.013*\"black\" + 0.013*\"western\" + 0.013*\"arsen\" + 0.011*\"depress\" + 0.010*\"gai\"\n", + "2019-01-31 01:10:22,032 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 01:10:22,038 : INFO : topic diff=0.004152, rho=0.025190\n", + "2019-01-31 01:10:22,197 : INFO : PROGRESS: pass 0, at document #3154000/4922894\n", + "2019-01-31 01:10:23,571 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:23,837 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:10:23,838 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:10:23,840 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.023*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:10:23,841 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:10:23,842 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.026*\"new\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:10:23,848 : INFO : topic diff=0.004476, rho=0.025182\n", + "2019-01-31 01:10:24,009 : INFO : PROGRESS: pass 0, at document #3156000/4922894\n", + "2019-01-31 01:10:25,431 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:25,697 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:10:25,699 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"palmer\" + 0.008*\"sourc\" + 0.008*\"lobe\"\n", + "2019-01-31 01:10:25,700 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"juan\" + 0.011*\"josé\" + 0.011*\"carlo\" + 0.011*\"santa\"\n", + "2019-01-31 01:10:25,701 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:10:25,702 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:10:25,708 : INFO : topic diff=0.005016, rho=0.025174\n", + "2019-01-31 01:10:25,865 : INFO : PROGRESS: pass 0, at document #3158000/4922894\n", + "2019-01-31 01:10:27,250 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:27,516 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"juan\" + 0.011*\"josé\" + 0.011*\"carlo\" + 0.011*\"santa\"\n", + "2019-01-31 01:10:27,517 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.024*\"cathol\" + 0.023*\"christian\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.016*\"sail\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:10:27,519 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.039*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.022*\"poison\" + 0.019*\"moscow\" + 0.015*\"poland\" + 0.015*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 01:10:27,520 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.046*\"american\" + 0.031*\"valour\" + 0.020*\"folei\" + 0.018*\"player\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:10:27,521 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.029*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 01:10:27,527 : INFO : topic diff=0.003629, rho=0.025166\n", + "2019-01-31 01:10:30,341 : INFO : -11.976 per-word bound, 4028.9 perplexity estimate based on a held-out corpus of 2000 documents with 608637 words\n", + "2019-01-31 01:10:30,342 : INFO : PROGRESS: pass 0, at document #3160000/4922894\n", + "2019-01-31 01:10:31,774 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:32,040 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"new\" + 0.014*\"quebec\" + 0.014*\"misericordia\" + 0.013*\"novotná\"\n", + "2019-01-31 01:10:32,041 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:10:32,043 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"biom\" + 0.009*\"western\" + 0.008*\"male\" + 0.008*\"feel\" + 0.008*\"median\" + 0.007*\"trap\"\n", + "2019-01-31 01:10:32,044 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.045*\"american\" + 0.031*\"valour\" + 0.020*\"folei\" + 0.018*\"player\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:10:32,045 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"spectacl\" + 0.006*\"encyclopedia\" + 0.006*\"produc\"\n", + "2019-01-31 01:10:32,051 : INFO : topic diff=0.003941, rho=0.025158\n", + "2019-01-31 01:10:32,214 : INFO : PROGRESS: pass 0, at document #3162000/4922894\n", + "2019-01-31 01:10:33,629 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:33,897 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"appear\" + 0.007*\"comic\" + 0.006*\"workplac\" + 0.006*\"storag\" + 0.006*\"vision\" + 0.006*\"fusiform\"\n", + "2019-01-31 01:10:33,898 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.080*\"sens\" + 0.078*\"octob\" + 0.072*\"januari\" + 0.071*\"august\" + 0.070*\"juli\" + 0.069*\"notion\" + 0.068*\"judici\" + 0.067*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 01:10:33,899 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:10:33,900 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:10:33,901 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.007*\"utopian\" + 0.006*\"gener\" + 0.006*\"théori\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.005*\"differ\"\n", + "2019-01-31 01:10:33,908 : INFO : topic diff=0.004350, rho=0.025150\n", + "2019-01-31 01:10:34,070 : INFO : PROGRESS: pass 0, at document #3164000/4922894\n", + "2019-01-31 01:10:35,955 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:36,221 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.080*\"sens\" + 0.078*\"octob\" + 0.072*\"januari\" + 0.071*\"juli\" + 0.071*\"august\" + 0.069*\"notion\" + 0.068*\"judici\" + 0.067*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 01:10:36,222 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:10:36,223 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:10:36,224 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:10:36,225 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"gastrointestin\"\n", + "2019-01-31 01:10:36,231 : INFO : topic diff=0.004311, rho=0.025142\n", + "2019-01-31 01:10:36,453 : INFO : PROGRESS: pass 0, at document #3166000/4922894\n", + "2019-01-31 01:10:37,845 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:38,115 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 01:10:38,115 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.022*\"poison\" + 0.019*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 01:10:38,117 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:10:38,118 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.057*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"seaport\" + 0.013*\"bypass\" + 0.013*\"selma\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:10:38,119 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:10:38,125 : INFO : topic diff=0.004365, rho=0.025134\n", + "2019-01-31 01:10:38,282 : INFO : PROGRESS: pass 0, at document #3168000/4922894\n", + "2019-01-31 01:10:39,682 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:39,948 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:10:39,949 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:10:39,950 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.022*\"poison\" + 0.019*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:10:39,951 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:10:39,952 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:10:39,958 : INFO : topic diff=0.003928, rho=0.025126\n", + "2019-01-31 01:10:40,116 : INFO : PROGRESS: pass 0, at document #3170000/4922894\n", + "2019-01-31 01:10:41,507 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:41,774 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"feel\" + 0.008*\"male\" + 0.007*\"trap\"\n", + "2019-01-31 01:10:41,775 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:10:41,776 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.024*\"fifteenth\" + 0.019*\"illicit\" + 0.017*\"pain\" + 0.016*\"colder\" + 0.014*\"arsen\" + 0.013*\"black\" + 0.012*\"western\" + 0.011*\"depress\" + 0.011*\"gai\"\n", + "2019-01-31 01:10:41,777 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.007*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:10:41,778 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.057*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"seaport\" + 0.013*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 01:10:41,784 : INFO : topic diff=0.003314, rho=0.025118\n", + "2019-01-31 01:10:41,938 : INFO : PROGRESS: pass 0, at document #3172000/4922894\n", + "2019-01-31 01:10:43,304 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:43,571 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.010*\"josé\"\n", + "2019-01-31 01:10:43,572 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:10:43,573 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:10:43,574 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"novotná\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:10:43,575 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.027*\"australia\" + 0.026*\"new\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:10:43,580 : INFO : topic diff=0.004106, rho=0.025110\n", + "2019-01-31 01:10:43,738 : INFO : PROGRESS: pass 0, at document #3174000/4922894\n", + "2019-01-31 01:10:45,139 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:45,405 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:10:45,406 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:10:45,407 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.015*\"novotná\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:10:45,408 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:10:45,409 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.023*\"cathol\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.016*\"sail\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:10:45,415 : INFO : topic diff=0.003677, rho=0.025102\n", + "2019-01-31 01:10:45,575 : INFO : PROGRESS: pass 0, at document #3176000/4922894\n", + "2019-01-31 01:10:46,947 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:47,214 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.057*\"parti\" + 0.025*\"democrat\" + 0.024*\"voluntari\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.013*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 01:10:47,215 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.029*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.013*\"winner\"\n", + "2019-01-31 01:10:47,216 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:10:47,217 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:10:47,218 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:10:47,224 : INFO : topic diff=0.003521, rho=0.025094\n", + "2019-01-31 01:10:47,383 : INFO : PROGRESS: pass 0, at document #3178000/4922894\n", + "2019-01-31 01:10:48,790 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:49,057 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:10:49,058 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:10:49,059 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:10:49,060 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.021*\"event\" + 0.018*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"nation\"\n", + "2019-01-31 01:10:49,061 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.006*\"utopian\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"differ\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:10:49,067 : INFO : topic diff=0.003511, rho=0.025086\n", + "2019-01-31 01:10:51,794 : INFO : -11.411 per-word bound, 2722.3 perplexity estimate based on a held-out corpus of 2000 documents with 573974 words\n", + "2019-01-31 01:10:51,795 : INFO : PROGRESS: pass 0, at document #3180000/4922894\n", + "2019-01-31 01:10:53,196 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:53,462 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"feel\" + 0.008*\"male\" + 0.007*\"trap\"\n", + "2019-01-31 01:10:53,463 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.023*\"christian\" + 0.020*\"bishop\" + 0.016*\"retroflex\" + 0.016*\"sail\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:10:53,464 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:10:53,465 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:10:53,466 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.034*\"raid\" + 0.027*\"rosenwald\" + 0.021*\"traceabl\" + 0.021*\"serv\" + 0.014*\"oper\" + 0.011*\"rivièr\" + 0.011*\"airmen\" + 0.011*\"transient\"\n", + "2019-01-31 01:10:53,472 : INFO : topic diff=0.004377, rho=0.025078\n", + "2019-01-31 01:10:53,625 : INFO : PROGRESS: pass 0, at document #3182000/4922894\n", + "2019-01-31 01:10:54,979 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:55,245 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:10:55,246 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:10:55,247 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.012*\"islam\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.010*\"sri\" + 0.010*\"affection\" + 0.010*\"alam\"\n", + "2019-01-31 01:10:55,248 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:10:55,250 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:10:55,255 : INFO : topic diff=0.004012, rho=0.025071\n", + "2019-01-31 01:10:55,412 : INFO : PROGRESS: pass 0, at document #3184000/4922894\n", + "2019-01-31 01:10:56,804 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:57,070 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.017*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"depress\" + 0.011*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:10:57,072 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:10:57,073 : INFO : topic #20 (0.020): 0.148*\"scholar\" + 0.040*\"struggl\" + 0.037*\"high\" + 0.031*\"educ\" + 0.026*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"district\" + 0.009*\"gothic\"\n", + "2019-01-31 01:10:57,074 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:10:57,075 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:10:57,081 : INFO : topic diff=0.003405, rho=0.025063\n", + "2019-01-31 01:10:57,234 : INFO : PROGRESS: pass 0, at document #3186000/4922894\n", + "2019-01-31 01:10:58,600 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:10:58,867 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:10:58,868 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:10:58,868 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.031*\"perceptu\" + 0.019*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.014*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"jack\"\n", + "2019-01-31 01:10:58,869 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:10:58,870 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.010*\"champion\"\n", + "2019-01-31 01:10:58,876 : INFO : topic diff=0.003314, rho=0.025055\n", + "2019-01-31 01:10:59,033 : INFO : PROGRESS: pass 0, at document #3188000/4922894\n", + "2019-01-31 01:11:00,435 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:00,704 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"australia\" + 0.026*\"new\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:11:00,705 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"anim\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.007*\"appear\" + 0.007*\"comic\" + 0.006*\"workplac\" + 0.006*\"storag\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:11:00,707 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:11:00,708 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.048*\"american\" + 0.030*\"valour\" + 0.020*\"folei\" + 0.020*\"player\" + 0.017*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:11:00,709 : INFO : topic #20 (0.020): 0.152*\"scholar\" + 0.040*\"struggl\" + 0.037*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"prickli\" + 0.010*\"task\" + 0.009*\"district\"\n", + "2019-01-31 01:11:00,714 : INFO : topic diff=0.003494, rho=0.025047\n", + "2019-01-31 01:11:00,869 : INFO : PROGRESS: pass 0, at document #3190000/4922894\n", + "2019-01-31 01:11:02,245 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:02,512 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"berlin\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:11:02,513 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:11:02,514 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"cathol\" + 0.023*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.009*\"poll\" + 0.009*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:11:02,515 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.057*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.013*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 01:11:02,516 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:11:02,522 : INFO : topic diff=0.004055, rho=0.025039\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:11:02,680 : INFO : PROGRESS: pass 0, at document #3192000/4922894\n", + "2019-01-31 01:11:04,087 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:04,355 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.012*\"faster\" + 0.012*\"life\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:11:04,356 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.013*\"treeless\" + 0.012*\"damag\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:11:04,357 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:11:04,358 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:11:04,359 : INFO : topic #16 (0.020): 0.058*\"king\" + 0.034*\"priest\" + 0.023*\"duke\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.015*\"count\" + 0.014*\"brazil\" + 0.012*\"princ\"\n", + "2019-01-31 01:11:04,365 : INFO : topic diff=0.003654, rho=0.025031\n", + "2019-01-31 01:11:04,520 : INFO : PROGRESS: pass 0, at document #3194000/4922894\n", + "2019-01-31 01:11:05,892 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:06,158 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:11:06,159 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.010*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:11:06,160 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.017*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"briarwood\" + 0.010*\"linear\" + 0.010*\"silicon\"\n", + "2019-01-31 01:11:06,161 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.037*\"tortur\" + 0.033*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:11:06,162 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:11:06,168 : INFO : topic diff=0.003691, rho=0.025023\n", + "2019-01-31 01:11:06,322 : INFO : PROGRESS: pass 0, at document #3196000/4922894\n", + "2019-01-31 01:11:07,692 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:07,958 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.071*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.020*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.012*\"winner\"\n", + "2019-01-31 01:11:07,959 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.023*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:11:07,960 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:11:07,961 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:11:07,962 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:11:07,968 : INFO : topic diff=0.003398, rho=0.025016\n", + "2019-01-31 01:11:08,181 : INFO : PROGRESS: pass 0, at document #3198000/4922894\n", + "2019-01-31 01:11:09,566 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:09,835 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.020*\"illicit\" + 0.017*\"pain\" + 0.015*\"colder\" + 0.014*\"arsen\" + 0.013*\"black\" + 0.012*\"western\" + 0.012*\"museo\" + 0.011*\"gai\"\n", + "2019-01-31 01:11:09,836 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.029*\"final\" + 0.021*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:11:09,837 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.037*\"tortur\" + 0.032*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:11:09,838 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:11:09,840 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:11:09,845 : INFO : topic diff=0.003829, rho=0.025008\n", + "2019-01-31 01:11:12,486 : INFO : -11.511 per-word bound, 2919.3 perplexity estimate based on a held-out corpus of 2000 documents with 515958 words\n", + "2019-01-31 01:11:12,486 : INFO : PROGRESS: pass 0, at document #3200000/4922894\n", + "2019-01-31 01:11:13,858 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:14,124 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:11:14,125 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"briarwood\" + 0.011*\"silicon\" + 0.010*\"linear\"\n", + "2019-01-31 01:11:14,127 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:11:14,128 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.042*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.019*\"ontario\" + 0.015*\"novotná\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:11:14,129 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"group\" + 0.009*\"commun\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:11:14,134 : INFO : topic diff=0.004012, rho=0.025000\n", + "2019-01-31 01:11:14,297 : INFO : PROGRESS: pass 0, at document #3202000/4922894\n", + "2019-01-31 01:11:15,692 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:15,959 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"feel\" + 0.008*\"male\" + 0.008*\"trap\"\n", + "2019-01-31 01:11:15,960 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:11:15,961 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.012*\"islam\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.010*\"sri\" + 0.010*\"alam\" + 0.010*\"affection\"\n", + "2019-01-31 01:11:15,962 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:11:15,963 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.029*\"woman\" + 0.026*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"rainfal\" + 0.018*\"nation\" + 0.018*\"atheist\"\n", + "2019-01-31 01:11:15,969 : INFO : topic diff=0.003855, rho=0.024992\n", + "2019-01-31 01:11:16,124 : INFO : PROGRESS: pass 0, at document #3204000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:11:17,518 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:17,785 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"workplac\" + 0.006*\"storag\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:11:17,786 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"lagrang\" + 0.019*\"area\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.008*\"palmer\"\n", + "2019-01-31 01:11:17,787 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:11:17,788 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.012*\"anglo\" + 0.012*\"islam\" + 0.012*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 01:11:17,789 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:11:17,794 : INFO : topic diff=0.003871, rho=0.024984\n", + "2019-01-31 01:11:17,949 : INFO : PROGRESS: pass 0, at document #3206000/4922894\n", + "2019-01-31 01:11:19,319 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:19,585 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:11:19,586 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.029*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.023*\"medal\" + 0.021*\"event\" + 0.018*\"rainfal\" + 0.018*\"nation\" + 0.018*\"atheist\"\n", + "2019-01-31 01:11:19,587 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.046*\"american\" + 0.029*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:11:19,588 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.020*\"illicit\" + 0.017*\"pain\" + 0.015*\"colder\" + 0.014*\"arsen\" + 0.013*\"black\" + 0.012*\"western\" + 0.012*\"museo\" + 0.011*\"gai\"\n", + "2019-01-31 01:11:19,589 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:11:19,595 : INFO : topic diff=0.003740, rho=0.024977\n", + "2019-01-31 01:11:19,752 : INFO : PROGRESS: pass 0, at document #3208000/4922894\n", + "2019-01-31 01:11:21,151 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:21,417 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"appear\" + 0.007*\"comic\" + 0.007*\"workplac\" + 0.006*\"storag\" + 0.006*\"fusiform\" + 0.006*\"love\"\n", + "2019-01-31 01:11:21,418 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"differ\"\n", + "2019-01-31 01:11:21,419 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.012*\"damag\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:11:21,420 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:11:21,421 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.012*\"televis\" + 0.012*\"anglo\" + 0.012*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 01:11:21,427 : INFO : topic diff=0.003282, rho=0.024969\n", + "2019-01-31 01:11:21,587 : INFO : PROGRESS: pass 0, at document #3210000/4922894\n", + "2019-01-31 01:11:22,983 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:23,253 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"ret\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:11:23,254 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:11:23,256 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"anim\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"workplac\" + 0.006*\"storag\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:11:23,257 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.009*\"cytokin\" + 0.008*\"uruguayan\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 01:11:23,258 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"briarwood\" + 0.011*\"silicon\" + 0.011*\"linear\"\n", + "2019-01-31 01:11:23,264 : INFO : topic diff=0.003698, rho=0.024961\n", + "2019-01-31 01:11:23,421 : INFO : PROGRESS: pass 0, at document #3212000/4922894\n", + "2019-01-31 01:11:24,813 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:25,079 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.029*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"rainfal\" + 0.018*\"nation\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:11:25,080 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.011*\"find\" + 0.011*\"ret\" + 0.011*\"fool\" + 0.010*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:11:25,081 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.023*\"sail\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:11:25,082 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.023*\"poison\" + 0.020*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:11:25,083 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"anim\" + 0.010*\"man\" + 0.010*\"septemb\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"workplac\" + 0.006*\"storag\" + 0.006*\"fusiform\" + 0.006*\"love\"\n", + "2019-01-31 01:11:25,089 : INFO : topic diff=0.003818, rho=0.024953\n", + "2019-01-31 01:11:25,244 : INFO : PROGRESS: pass 0, at document #3214000/4922894\n", + "2019-01-31 01:11:26,622 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:26,888 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.056*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.014*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 01:11:26,889 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"australia\" + 0.026*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:11:26,890 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.012*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"john\"\n", + "2019-01-31 01:11:26,891 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:11:26,892 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.010*\"retrospect\" + 0.009*\"fleet\"\n", + "2019-01-31 01:11:26,898 : INFO : topic diff=0.003957, rho=0.024945\n", + "2019-01-31 01:11:27,052 : INFO : PROGRESS: pass 0, at document #3216000/4922894\n", + "2019-01-31 01:11:28,415 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:28,682 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"ret\" + 0.010*\"squatter\" + 0.010*\"champion\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:11:28,683 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.008*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:11:28,684 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.044*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:11:28,685 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.045*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.019*\"korean\" + 0.018*\"leah\" + 0.017*\"kim\" + 0.016*\"sourc\" + 0.013*\"shirin\"\n", + "2019-01-31 01:11:28,686 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.056*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.014*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 01:11:28,692 : INFO : topic diff=0.004325, rho=0.024938\n", + "2019-01-31 01:11:28,852 : INFO : PROGRESS: pass 0, at document #3218000/4922894\n", + "2019-01-31 01:11:30,242 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:30,508 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"anglo\" + 0.012*\"islam\" + 0.012*\"televis\" + 0.012*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 01:11:30,509 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.015*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:11:30,510 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:11:30,512 : INFO : topic #16 (0.020): 0.058*\"king\" + 0.033*\"priest\" + 0.022*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"quarterli\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.014*\"count\" + 0.013*\"brazil\" + 0.013*\"portugues\"\n", + "2019-01-31 01:11:30,513 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"poll\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 01:11:30,519 : INFO : topic diff=0.003555, rho=0.024930\n", + "2019-01-31 01:11:33,180 : INFO : -11.619 per-word bound, 3146.2 perplexity estimate based on a held-out corpus of 2000 documents with 544433 words\n", + "2019-01-31 01:11:33,181 : INFO : PROGRESS: pass 0, at document #3220000/4922894\n", + "2019-01-31 01:11:34,554 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:34,821 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:11:34,822 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:11:34,823 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:11:34,824 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:11:34,825 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"briarwood\" + 0.011*\"depress\" + 0.011*\"linear\"\n", + "2019-01-31 01:11:34,831 : INFO : topic diff=0.003490, rho=0.024922\n", + "2019-01-31 01:11:34,981 : INFO : PROGRESS: pass 0, at document #3222000/4922894\n", + "2019-01-31 01:11:36,312 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:36,579 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.031*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.014*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:11:36,580 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"bank\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:11:36,581 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.046*\"american\" + 0.029*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:11:36,582 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:11:36,583 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.010*\"squatter\"\n", + "2019-01-31 01:11:36,589 : INFO : topic diff=0.004040, rho=0.024915\n", + "2019-01-31 01:11:36,745 : INFO : PROGRESS: pass 0, at document #3224000/4922894\n", + "2019-01-31 01:11:38,131 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:38,398 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"selma\" + 0.014*\"seaport\" + 0.013*\"bypass\"\n", + "2019-01-31 01:11:38,399 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.013*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.009*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:11:38,400 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.045*\"american\" + 0.029*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:11:38,401 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.010*\"lizard\" + 0.010*\"josé\"\n", + "2019-01-31 01:11:38,402 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:11:38,408 : INFO : topic diff=0.003623, rho=0.024907\n", + "2019-01-31 01:11:38,568 : INFO : PROGRESS: pass 0, at document #3226000/4922894\n", + "2019-01-31 01:11:39,944 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:40,211 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.030*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:11:40,212 : INFO : topic #44 (0.020): 0.035*\"rooftop\" + 0.029*\"final\" + 0.021*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"martin\" + 0.013*\"tiepolo\" + 0.012*\"winner\"\n", + "2019-01-31 01:11:40,213 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"stop\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.015*\"damag\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:11:40,214 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"spectacl\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:11:40,215 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.015*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 01:11:40,221 : INFO : topic diff=0.003542, rho=0.024899\n", + "2019-01-31 01:11:40,379 : INFO : PROGRESS: pass 0, at document #3228000/4922894\n", + "2019-01-31 01:11:41,776 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:42,043 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.036*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"serv\" + 0.020*\"traceabl\" + 0.014*\"oper\" + 0.013*\"airmen\" + 0.013*\"rivièr\" + 0.010*\"transient\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:11:42,044 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"retrospect\" + 0.009*\"fleet\"\n", + "2019-01-31 01:11:42,045 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"spectacl\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:11:42,046 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.016*\"arsen\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.010*\"worldwid\" + 0.010*\"magazin\"\n", + "2019-01-31 01:11:42,047 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.045*\"american\" + 0.029*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:11:42,053 : INFO : topic diff=0.003788, rho=0.024891\n", + "2019-01-31 01:11:42,204 : INFO : PROGRESS: pass 0, at document #3230000/4922894\n", + "2019-01-31 01:11:43,551 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:43,818 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"spectacl\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:11:43,819 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.029*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"nation\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:11:43,820 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.024*\"poison\" + 0.019*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:11:43,821 : INFO : topic #40 (0.020): 0.089*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.016*\"professor\" + 0.011*\"word\" + 0.011*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:11:43,822 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.013*\"anglo\" + 0.012*\"muskoge\" + 0.011*\"televis\" + 0.010*\"sri\" + 0.010*\"alam\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:11:43,828 : INFO : topic diff=0.004149, rho=0.024884\n", + "2019-01-31 01:11:44,040 : INFO : PROGRESS: pass 0, at document #3232000/4922894\n", + "2019-01-31 01:11:45,410 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:45,677 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:11:45,678 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.035*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"personifi\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.019*\"moscow\" + 0.016*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:11:45,679 : INFO : topic #16 (0.020): 0.058*\"king\" + 0.034*\"priest\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"quarterli\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.014*\"count\" + 0.013*\"brazil\" + 0.013*\"portugues\"\n", + "2019-01-31 01:11:45,680 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.014*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:11:45,681 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.030*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:11:45,687 : INFO : topic diff=0.003635, rho=0.024876\n", + "2019-01-31 01:11:45,847 : INFO : PROGRESS: pass 0, at document #3234000/4922894\n", + "2019-01-31 01:11:47,254 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:47,521 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.009*\"western\" + 0.009*\"median\" + 0.008*\"trap\" + 0.008*\"feel\" + 0.008*\"male\"\n", + "2019-01-31 01:11:47,522 : INFO : topic #16 (0.020): 0.058*\"king\" + 0.034*\"priest\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.019*\"quarterli\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.014*\"count\" + 0.013*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:11:47,523 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.008*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:11:47,524 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"serv\" + 0.020*\"traceabl\" + 0.014*\"oper\" + 0.013*\"airmen\" + 0.012*\"rivièr\" + 0.011*\"transient\"\n", + "2019-01-31 01:11:47,525 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:11:47,531 : INFO : topic diff=0.004368, rho=0.024868\n", + "2019-01-31 01:11:47,684 : INFO : PROGRESS: pass 0, at document #3236000/4922894\n", + "2019-01-31 01:11:49,061 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:49,327 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:11:49,328 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:11:49,329 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:11:49,330 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:11:49,331 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"champion\" + 0.010*\"landslid\"\n", + "2019-01-31 01:11:49,337 : INFO : topic diff=0.003402, rho=0.024861\n", + "2019-01-31 01:11:49,496 : INFO : PROGRESS: pass 0, at document #3238000/4922894\n", + "2019-01-31 01:11:50,886 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:51,153 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:11:51,155 : INFO : topic #25 (0.020): 0.035*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"vacant\" + 0.009*\"sourc\" + 0.008*\"palmer\"\n", + "2019-01-31 01:11:51,155 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.027*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:11:51,156 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:11:51,158 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.020*\"illicit\" + 0.018*\"pain\" + 0.016*\"colder\" + 0.015*\"arsen\" + 0.013*\"black\" + 0.012*\"museo\" + 0.012*\"western\" + 0.011*\"gai\"\n", + "2019-01-31 01:11:51,163 : INFO : topic diff=0.003652, rho=0.024853\n", + "2019-01-31 01:11:53,860 : INFO : -11.507 per-word bound, 2910.5 perplexity estimate based on a held-out corpus of 2000 documents with 563587 words\n", + "2019-01-31 01:11:53,860 : INFO : PROGRESS: pass 0, at document #3240000/4922894\n", + "2019-01-31 01:11:55,230 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:55,496 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:11:55,497 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.008*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:11:55,498 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.020*\"illicit\" + 0.018*\"pain\" + 0.015*\"colder\" + 0.015*\"arsen\" + 0.013*\"black\" + 0.013*\"western\" + 0.012*\"museo\" + 0.011*\"gai\"\n", + "2019-01-31 01:11:55,499 : INFO : topic #20 (0.020): 0.148*\"scholar\" + 0.041*\"struggl\" + 0.036*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:11:55,500 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:11:55,506 : INFO : topic diff=0.003893, rho=0.024845\n", + "2019-01-31 01:11:55,660 : INFO : PROGRESS: pass 0, at document #3242000/4922894\n", + "2019-01-31 01:11:57,024 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:57,291 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:11:57,292 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:11:57,293 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"nation\" + 0.018*\"atheist\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:11:57,294 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:11:57,295 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"love\"\n", + "2019-01-31 01:11:57,301 : INFO : topic diff=0.003654, rho=0.024838\n", + "2019-01-31 01:11:57,458 : INFO : PROGRESS: pass 0, at document #3244000/4922894\n", + "2019-01-31 01:11:58,832 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:11:59,098 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.017*\"start\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:11:59,099 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:11:59,100 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.006*\"militari\" + 0.006*\"till\"\n", + "2019-01-31 01:11:59,101 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.030*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:11:59,102 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.027*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:11:59,108 : INFO : topic diff=0.003935, rho=0.024830\n", + "2019-01-31 01:11:59,265 : INFO : PROGRESS: pass 0, at document #3246000/4922894\n", + "2019-01-31 01:12:00,643 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:00,909 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.021*\"multitud\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:12:00,910 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:12:00,911 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.043*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.016*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 01:12:00,912 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.027*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:12:00,913 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"stop\" + 0.017*\"norwai\" + 0.015*\"swedish\" + 0.015*\"damag\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.012*\"treeless\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:12:00,919 : INFO : topic diff=0.004061, rho=0.024822\n", + "2019-01-31 01:12:01,072 : INFO : PROGRESS: pass 0, at document #3248000/4922894\n", + "2019-01-31 01:12:02,437 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:02,704 : INFO : topic #16 (0.020): 0.058*\"king\" + 0.033*\"priest\" + 0.022*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"quarterli\" + 0.018*\"grammat\" + 0.017*\"idiosyncrat\" + 0.014*\"count\" + 0.013*\"brazil\" + 0.013*\"portugues\"\n", + "2019-01-31 01:12:02,705 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:12:02,707 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:12:02,708 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 01:12:02,709 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.044*\"line\" + 0.035*\"raid\" + 0.027*\"rosenwald\" + 0.020*\"serv\" + 0.020*\"traceabl\" + 0.014*\"oper\" + 0.013*\"rivièr\" + 0.013*\"airmen\" + 0.011*\"transient\"\n", + "2019-01-31 01:12:02,715 : INFO : topic diff=0.003199, rho=0.024815\n", + "2019-01-31 01:12:02,868 : INFO : PROGRESS: pass 0, at document #3250000/4922894\n", + "2019-01-31 01:12:04,230 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:04,497 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:12:04,498 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.016*\"arsen\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"magazin\" + 0.011*\"storag\"\n", + "2019-01-31 01:12:04,499 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.010*\"champion\" + 0.009*\"théori\"\n", + "2019-01-31 01:12:04,500 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"sens\" + 0.075*\"octob\" + 0.070*\"august\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.069*\"juli\" + 0.068*\"april\" + 0.066*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:12:04,501 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.013*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.009*\"vernon\"\n", + "2019-01-31 01:12:04,507 : INFO : topic diff=0.003644, rho=0.024807\n", + "2019-01-31 01:12:04,664 : INFO : PROGRESS: pass 0, at document #3252000/4922894\n", + "2019-01-31 01:12:06,062 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:06,328 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.015*\"retroflex\" + 0.015*\"sail\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"centuri\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:12:06,330 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.017*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"winner\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:12:06,331 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"linear\" + 0.011*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 01:12:06,332 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:12:06,333 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:12:06,339 : INFO : topic diff=0.003321, rho=0.024799\n", + "2019-01-31 01:12:06,491 : INFO : PROGRESS: pass 0, at document #3254000/4922894\n", + "2019-01-31 01:12:07,851 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:08,117 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:12:08,118 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.011*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:12:08,119 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.011*\"cdr\"\n", + "2019-01-31 01:12:08,120 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:12:08,121 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.075*\"octob\" + 0.070*\"august\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.069*\"juli\" + 0.069*\"april\" + 0.067*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:12:08,127 : INFO : topic diff=0.003959, rho=0.024792\n", + "2019-01-31 01:12:08,279 : INFO : PROGRESS: pass 0, at document #3256000/4922894\n", + "2019-01-31 01:12:09,640 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:09,906 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"pop\" + 0.010*\"network\" + 0.009*\"cytokin\" + 0.008*\"uruguayan\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"championship\" + 0.007*\"diggin\"\n", + "2019-01-31 01:12:09,907 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"christian\" + 0.021*\"cathol\" + 0.020*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"poll\" + 0.009*\"historiographi\" + 0.009*\"centuri\"\n", + "2019-01-31 01:12:09,908 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:12:09,909 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.069*\"best\" + 0.035*\"yawn\" + 0.027*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"festiv\" + 0.021*\"noll\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:12:09,910 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.029*\"woman\" + 0.029*\"champion\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"nation\" + 0.017*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:12:09,916 : INFO : topic diff=0.003543, rho=0.024784\n", + "2019-01-31 01:12:10,073 : INFO : PROGRESS: pass 0, at document #3258000/4922894\n", + "2019-01-31 01:12:11,475 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:11,742 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"proper\" + 0.006*\"have\" + 0.006*\"caus\" + 0.006*\"effect\" + 0.006*\"acid\"\n", + "2019-01-31 01:12:11,744 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:12:11,745 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"winner\"\n", + "2019-01-31 01:12:11,746 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"ret\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:12:11,747 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:12:11,753 : INFO : topic diff=0.003865, rho=0.024776\n", + "2019-01-31 01:12:14,417 : INFO : -12.063 per-word bound, 4279.8 perplexity estimate based on a held-out corpus of 2000 documents with 542664 words\n", + "2019-01-31 01:12:14,418 : INFO : PROGRESS: pass 0, at document #3260000/4922894\n", + "2019-01-31 01:12:15,786 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:16,052 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"linear\" + 0.011*\"briarwood\" + 0.011*\"depress\"\n", + "2019-01-31 01:12:16,054 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.027*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:12:16,055 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:12:16,056 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.042*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:12:16,056 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:12:16,062 : INFO : topic diff=0.003384, rho=0.024769\n", + "2019-01-31 01:12:16,274 : INFO : PROGRESS: pass 0, at document #3262000/4922894\n", + "2019-01-31 01:12:17,646 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:17,913 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:12:17,914 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"pope\" + 0.013*\"scot\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.010*\"fleet\" + 0.009*\"vernon\"\n", + "2019-01-31 01:12:17,915 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.044*\"american\" + 0.028*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.017*\"polit\" + 0.017*\"dutch\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:12:17,916 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:12:17,917 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.030*\"germani\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:12:17,923 : INFO : topic diff=0.003440, rho=0.024761\n", + "2019-01-31 01:12:18,081 : INFO : PROGRESS: pass 0, at document #3264000/4922894\n", + "2019-01-31 01:12:19,490 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:19,757 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"liber\" + 0.014*\"seaport\" + 0.013*\"selma\" + 0.013*\"republ\"\n", + "2019-01-31 01:12:19,758 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"winner\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:12:19,759 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:12:19,760 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.009*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:12:19,761 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"pop\" + 0.010*\"network\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"championship\" + 0.007*\"diggin\"\n", + "2019-01-31 01:12:19,767 : INFO : topic diff=0.004756, rho=0.024754\n", + "2019-01-31 01:12:19,923 : INFO : PROGRESS: pass 0, at document #3266000/4922894\n", + "2019-01-31 01:12:21,279 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:21,545 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:12:21,546 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:12:21,547 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.042*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:12:21,548 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:12:21,549 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.049*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"cdr\"\n", + "2019-01-31 01:12:21,555 : INFO : topic diff=0.003919, rho=0.024746\n", + "2019-01-31 01:12:21,710 : INFO : PROGRESS: pass 0, at document #3268000/4922894\n", + "2019-01-31 01:12:23,076 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:23,343 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:12:23,344 : INFO : topic #19 (0.020): 0.018*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:12:23,345 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:12:23,346 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.020*\"folei\" + 0.019*\"player\" + 0.017*\"polit\" + 0.017*\"dutch\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:12:23,347 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.012*\"militari\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:12:23,353 : INFO : topic diff=0.003619, rho=0.024739\n", + "2019-01-31 01:12:23,516 : INFO : PROGRESS: pass 0, at document #3270000/4922894\n", + "2019-01-31 01:12:24,901 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:25,168 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.056*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"liber\" + 0.014*\"seaport\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 01:12:25,169 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.019*\"lagrang\" + 0.019*\"area\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:12:25,170 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.010*\"televis\" + 0.010*\"khalsa\" + 0.009*\"sri\" + 0.009*\"alam\"\n", + "2019-01-31 01:12:25,171 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:12:25,172 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.017*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:12:25,177 : INFO : topic diff=0.004240, rho=0.024731\n", + "2019-01-31 01:12:25,333 : INFO : PROGRESS: pass 0, at document #3272000/4922894\n", + "2019-01-31 01:12:26,724 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:26,991 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:12:26,992 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.049*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"cdr\"\n", + "2019-01-31 01:12:26,993 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:12:26,995 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.017*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:12:26,996 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.022*\"septemb\" + 0.019*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:12:27,002 : INFO : topic diff=0.003828, rho=0.024723\n", + "2019-01-31 01:12:27,158 : INFO : PROGRESS: pass 0, at document #3274000/4922894\n", + "2019-01-31 01:12:28,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:28,800 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:12:28,801 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.019*\"lagrang\" + 0.019*\"area\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:12:28,802 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.019*\"illicit\" + 0.018*\"pain\" + 0.016*\"arsen\" + 0.015*\"colder\" + 0.014*\"museo\" + 0.013*\"black\" + 0.012*\"western\" + 0.011*\"gai\"\n", + "2019-01-31 01:12:28,803 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:12:28,804 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"clean\" + 0.007*\"championship\"\n", + "2019-01-31 01:12:28,810 : INFO : topic diff=0.003878, rho=0.024716\n", + "2019-01-31 01:12:28,966 : INFO : PROGRESS: pass 0, at document #3276000/4922894\n", + "2019-01-31 01:12:30,364 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:30,630 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"silicon\" + 0.011*\"briarwood\" + 0.011*\"depress\"\n", + "2019-01-31 01:12:30,631 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"nation\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:12:30,632 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:12:30,633 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.044*\"chilton\" + 0.026*\"kong\" + 0.023*\"hong\" + 0.020*\"korea\" + 0.018*\"leah\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.015*\"kim\"\n", + "2019-01-31 01:12:30,634 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.076*\"octob\" + 0.072*\"august\" + 0.070*\"notion\" + 0.070*\"juli\" + 0.069*\"januari\" + 0.069*\"april\" + 0.067*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:12:30,640 : INFO : topic diff=0.003458, rho=0.024708\n", + "2019-01-31 01:12:30,799 : INFO : PROGRESS: pass 0, at document #3278000/4922894\n", + "2019-01-31 01:12:32,186 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:32,452 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.019*\"lagrang\" + 0.019*\"area\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:12:32,453 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.026*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"nation\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:12:32,454 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:12:32,455 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:12:32,456 : INFO : topic #44 (0.020): 0.035*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.017*\"champion\" + 0.016*\"tiepolo\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 01:12:32,462 : INFO : topic diff=0.004167, rho=0.024701\n", + "2019-01-31 01:12:35,202 : INFO : -11.753 per-word bound, 3451.2 perplexity estimate based on a held-out corpus of 2000 documents with 561527 words\n", + "2019-01-31 01:12:35,203 : INFO : PROGRESS: pass 0, at document #3280000/4922894\n", + "2019-01-31 01:12:36,597 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:36,863 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:12:36,864 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.076*\"octob\" + 0.073*\"august\" + 0.070*\"notion\" + 0.069*\"juli\" + 0.068*\"april\" + 0.068*\"januari\" + 0.067*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:12:36,865 : INFO : topic #10 (0.020): 0.014*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"proper\" + 0.007*\"have\" + 0.006*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:12:36,866 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"serv\" + 0.020*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.013*\"rivièr\" + 0.011*\"transient\"\n", + "2019-01-31 01:12:36,867 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"illicit\" + 0.018*\"pain\" + 0.017*\"arsen\" + 0.015*\"colder\" + 0.015*\"museo\" + 0.013*\"black\" + 0.012*\"western\" + 0.011*\"gai\"\n", + "2019-01-31 01:12:36,873 : INFO : topic diff=0.003950, rho=0.024693\n", + "2019-01-31 01:12:37,031 : INFO : PROGRESS: pass 0, at document #3282000/4922894\n", + "2019-01-31 01:12:38,415 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:38,682 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.020*\"lagrang\" + 0.019*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:12:38,683 : INFO : topic #20 (0.020): 0.148*\"scholar\" + 0.040*\"struggl\" + 0.035*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:12:38,684 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:12:38,685 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"word\" + 0.011*\"governor\"\n", + "2019-01-31 01:12:38,686 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:12:38,692 : INFO : topic diff=0.003749, rho=0.024686\n", + "2019-01-31 01:12:38,850 : INFO : PROGRESS: pass 0, at document #3284000/4922894\n", + "2019-01-31 01:12:40,238 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:40,505 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:12:40,506 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:12:40,507 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"spectacl\" + 0.007*\"candid\" + 0.006*\"develop\"\n", + "2019-01-31 01:12:40,508 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:12:40,509 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:12:40,515 : INFO : topic diff=0.003935, rho=0.024678\n", + "2019-01-31 01:12:40,672 : INFO : PROGRESS: pass 0, at document #3286000/4922894\n", + "2019-01-31 01:12:42,045 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:42,311 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"summerhil\" + 0.007*\"woman\"\n", + "2019-01-31 01:12:42,312 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:12:42,313 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.020*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.009*\"lobe\"\n", + "2019-01-31 01:12:42,314 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"poll\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:12:42,315 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:12:42,321 : INFO : topic diff=0.004167, rho=0.024671\n", + "2019-01-31 01:12:42,476 : INFO : PROGRESS: pass 0, at document #3288000/4922894\n", + "2019-01-31 01:12:43,856 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:44,122 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:12:44,123 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:12:44,125 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.044*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.013*\"rivièr\" + 0.011*\"transient\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:12:44,125 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.025*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:12:44,127 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.020*\"lagrang\" + 0.018*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:12:44,132 : INFO : topic diff=0.003747, rho=0.024663\n", + "2019-01-31 01:12:44,289 : INFO : PROGRESS: pass 0, at document #3290000/4922894\n", + "2019-01-31 01:12:45,670 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:45,936 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.011*\"wreath\"\n", + "2019-01-31 01:12:45,938 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 01:12:45,939 : INFO : topic #26 (0.020): 0.033*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"nation\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:12:45,940 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.009*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:12:45,941 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"linear\" + 0.011*\"depress\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:12:45,947 : INFO : topic diff=0.003592, rho=0.024656\n", + "2019-01-31 01:12:46,104 : INFO : PROGRESS: pass 0, at document #3292000/4922894\n", + "2019-01-31 01:12:47,482 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:47,748 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.013*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"mexican\" + 0.011*\"lizard\"\n", + "2019-01-31 01:12:47,750 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:12:47,751 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"berlin\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:12:47,752 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"order\" + 0.008*\"legal\"\n", + "2019-01-31 01:12:47,753 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"spectacl\" + 0.007*\"candid\" + 0.006*\"produc\"\n", + "2019-01-31 01:12:47,759 : INFO : topic diff=0.003695, rho=0.024648\n", + "2019-01-31 01:12:47,978 : INFO : PROGRESS: pass 0, at document #3294000/4922894\n", + "2019-01-31 01:12:49,390 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:49,657 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.008*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.008*\"feel\" + 0.007*\"male\" + 0.007*\"incom\"\n", + "2019-01-31 01:12:49,658 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.041*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.021*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:12:49,659 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"jewish\" + 0.016*\"vol\" + 0.015*\"berlin\" + 0.015*\"israel\" + 0.013*\"der\" + 0.011*\"jeremiah\" + 0.010*\"european\" + 0.009*\"europ\"\n", + "2019-01-31 01:12:49,660 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.021*\"collector\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"word\" + 0.011*\"governor\"\n", + "2019-01-31 01:12:49,661 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:12:49,667 : INFO : topic diff=0.004864, rho=0.024641\n", + "2019-01-31 01:12:49,824 : INFO : PROGRESS: pass 0, at document #3296000/4922894\n", + "2019-01-31 01:12:51,220 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:51,487 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.031*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:12:51,488 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.016*\"rivièr\" + 0.014*\"histor\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"linear\" + 0.011*\"depress\" + 0.011*\"briarwood\"\n", + "2019-01-31 01:12:51,489 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.006*\"militari\" + 0.006*\"till\"\n", + "2019-01-31 01:12:51,490 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.015*\"sail\" + 0.015*\"retroflex\" + 0.010*\"poll\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"centuri\"\n", + "2019-01-31 01:12:51,491 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.021*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:12:51,497 : INFO : topic diff=0.003464, rho=0.024633\n", + "2019-01-31 01:12:51,653 : INFO : PROGRESS: pass 0, at document #3298000/4922894\n", + "2019-01-31 01:12:53,029 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:53,295 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.027*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:12:53,296 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"spectacl\" + 0.006*\"candid\" + 0.006*\"produc\"\n", + "2019-01-31 01:12:53,297 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:12:53,299 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:12:53,300 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"vernon\"\n", + "2019-01-31 01:12:53,305 : INFO : topic diff=0.003670, rho=0.024626\n", + "2019-01-31 01:12:56,018 : INFO : -11.834 per-word bound, 3650.7 perplexity estimate based on a held-out corpus of 2000 documents with 546499 words\n", + "2019-01-31 01:12:56,018 : INFO : PROGRESS: pass 0, at document #3300000/4922894\n", + "2019-01-31 01:12:57,407 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:57,673 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.022*\"area\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:12:57,675 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:12:57,676 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.016*\"retroflex\" + 0.015*\"sail\" + 0.010*\"poll\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:12:57,677 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:12:57,678 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.044*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.013*\"rivièr\" + 0.011*\"transient\"\n", + "2019-01-31 01:12:57,684 : INFO : topic diff=0.003650, rho=0.024618\n", + "2019-01-31 01:12:57,841 : INFO : PROGRESS: pass 0, at document #3302000/4922894\n", + "2019-01-31 01:12:59,227 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:12:59,493 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.020*\"quarterli\" + 0.019*\"rotterdam\" + 0.017*\"grammat\" + 0.016*\"idiosyncrat\" + 0.014*\"count\" + 0.013*\"order\" + 0.013*\"portugues\"\n", + "2019-01-31 01:12:59,494 : INFO : topic #22 (0.020): 0.037*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.008*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"feel\" + 0.007*\"male\" + 0.007*\"trap\"\n", + "2019-01-31 01:12:59,495 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.009*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:12:59,496 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:12:59,497 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\"\n", + "2019-01-31 01:12:59,503 : INFO : topic diff=0.003686, rho=0.024611\n", + "2019-01-31 01:12:59,659 : INFO : PROGRESS: pass 0, at document #3304000/4922894\n", + "2019-01-31 01:13:01,034 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:01,301 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:13:01,302 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:13:01,303 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:13:01,304 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.029*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"nation\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:13:01,305 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.007*\"candid\" + 0.006*\"spectacl\" + 0.006*\"produc\"\n", + "2019-01-31 01:13:01,311 : INFO : topic diff=0.003653, rho=0.024603\n", + "2019-01-31 01:13:01,470 : INFO : PROGRESS: pass 0, at document #3306000/4922894\n", + "2019-01-31 01:13:02,839 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:03,109 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.010*\"mexican\"\n", + "2019-01-31 01:13:03,110 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:13:03,111 : INFO : topic #44 (0.020): 0.034*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.017*\"champion\" + 0.016*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 01:13:03,112 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 01:13:03,113 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.011*\"wreath\"\n", + "2019-01-31 01:13:03,119 : INFO : topic diff=0.003322, rho=0.024596\n", + "2019-01-31 01:13:03,276 : INFO : PROGRESS: pass 0, at document #3308000/4922894\n", + "2019-01-31 01:13:04,659 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:04,925 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:13:04,926 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:13:04,927 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.031*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:13:04,929 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"proper\" + 0.006*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:13:04,930 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:13:04,936 : INFO : topic diff=0.003355, rho=0.024589\n", + "2019-01-31 01:13:05,091 : INFO : PROGRESS: pass 0, at document #3310000/4922894\n", + "2019-01-31 01:13:06,463 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:06,730 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.028*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"nation\" + 0.018*\"rainfal\" + 0.018*\"atheist\"\n", + "2019-01-31 01:13:06,731 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.048*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:13:06,732 : INFO : topic #36 (0.020): 0.010*\"prognosi\" + 0.010*\"pop\" + 0.010*\"network\" + 0.009*\"cytokin\" + 0.008*\"user\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"championship\"\n", + "2019-01-31 01:13:06,733 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wreath\"\n", + "2019-01-31 01:13:06,734 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:13:06,740 : INFO : topic diff=0.003703, rho=0.024581\n", + "2019-01-31 01:13:06,895 : INFO : PROGRESS: pass 0, at document #3312000/4922894\n", + "2019-01-31 01:13:08,263 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:08,530 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:13:08,531 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:13:08,532 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:13:08,533 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:13:08,534 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.013*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 01:13:08,540 : INFO : topic diff=0.004365, rho=0.024574\n", + "2019-01-31 01:13:08,693 : INFO : PROGRESS: pass 0, at document #3314000/4922894\n", + "2019-01-31 01:13:10,049 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:10,316 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.047*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:13:10,317 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.021*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.013*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:13:10,318 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:13:10,319 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"pain\" + 0.019*\"illicit\" + 0.018*\"arsen\" + 0.016*\"museo\" + 0.015*\"colder\" + 0.013*\"black\" + 0.012*\"western\" + 0.012*\"gai\"\n", + "2019-01-31 01:13:10,320 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:13:10,326 : INFO : topic diff=0.004409, rho=0.024566\n", + "2019-01-31 01:13:10,477 : INFO : PROGRESS: pass 0, at document #3316000/4922894\n", + "2019-01-31 01:13:11,821 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:12,090 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.011*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:13:12,092 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.014*\"rivièr\" + 0.011*\"transient\"\n", + "2019-01-31 01:13:12,093 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:13:12,094 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.016*\"swedish\" + 0.015*\"norwegian\" + 0.014*\"damag\" + 0.013*\"wind\" + 0.012*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"turkish\"\n", + "2019-01-31 01:13:12,095 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:13:12,101 : INFO : topic diff=0.004118, rho=0.024559\n", + "2019-01-31 01:13:12,256 : INFO : PROGRESS: pass 0, at document #3318000/4922894\n", + "2019-01-31 01:13:13,635 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:13,901 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.010*\"fool\" + 0.010*\"champion\" + 0.009*\"landslid\"\n", + "2019-01-31 01:13:13,902 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.015*\"arsen\" + 0.013*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.010*\"nicola\"\n", + "2019-01-31 01:13:13,904 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.017*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.008*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:13:13,905 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:13:13,906 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:13:13,912 : INFO : topic diff=0.002821, rho=0.024551\n", + "2019-01-31 01:13:16,578 : INFO : -11.544 per-word bound, 2985.7 perplexity estimate based on a held-out corpus of 2000 documents with 544621 words\n", + "2019-01-31 01:13:16,578 : INFO : PROGRESS: pass 0, at document #3320000/4922894\n", + "2019-01-31 01:13:17,944 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:18,213 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:13:18,214 : INFO : topic #23 (0.020): 0.132*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:13:18,215 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"militari\" + 0.006*\"govern\" + 0.006*\"till\"\n", + "2019-01-31 01:13:18,216 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:13:18,217 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"idiosyncrat\" + 0.014*\"count\" + 0.014*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:13:18,223 : INFO : topic diff=0.003584, rho=0.024544\n", + "2019-01-31 01:13:18,387 : INFO : PROGRESS: pass 0, at document #3322000/4922894\n", + "2019-01-31 01:13:19,808 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:20,075 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"candid\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:13:20,076 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.047*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.017*\"player\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:13:20,077 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:13:20,078 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.014*\"rivièr\" + 0.011*\"transient\"\n", + "2019-01-31 01:13:20,079 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:13:20,085 : INFO : topic diff=0.004407, rho=0.024537\n", + "2019-01-31 01:13:20,246 : INFO : PROGRESS: pass 0, at document #3324000/4922894\n", + "2019-01-31 01:13:21,651 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:21,918 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.015*\"rivièr\" + 0.014*\"histor\" + 0.012*\"constitut\" + 0.011*\"silicon\" + 0.011*\"linear\" + 0.011*\"briarwood\" + 0.011*\"depress\"\n", + "2019-01-31 01:13:21,919 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"jeremiah\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:13:21,920 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:13:21,921 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.014*\"rivièr\" + 0.011*\"transient\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:13:21,922 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.026*\"fifteenth\" + 0.019*\"illicit\" + 0.019*\"pain\" + 0.019*\"arsen\" + 0.016*\"museo\" + 0.014*\"colder\" + 0.013*\"black\" + 0.013*\"western\" + 0.012*\"gai\"\n", + "2019-01-31 01:13:21,928 : INFO : topic diff=0.003536, rho=0.024529\n", + "2019-01-31 01:13:22,084 : INFO : PROGRESS: pass 0, at document #3326000/4922894\n", + "2019-01-31 01:13:23,461 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:23,728 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.014*\"damag\" + 0.013*\"wind\" + 0.013*\"huntsvil\" + 0.012*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 01:13:23,729 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:13:23,731 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"till\"\n", + "2019-01-31 01:13:23,732 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"jeremiah\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:13:23,733 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"word\" + 0.011*\"governor\"\n", + "2019-01-31 01:13:23,739 : INFO : topic diff=0.003432, rho=0.024522\n", + "2019-01-31 01:13:23,956 : INFO : PROGRESS: pass 0, at document #3328000/4922894\n", + "2019-01-31 01:13:25,351 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:25,617 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:13:25,618 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.079*\"sens\" + 0.076*\"octob\" + 0.075*\"august\" + 0.074*\"juli\" + 0.070*\"april\" + 0.069*\"judici\" + 0.069*\"januari\" + 0.069*\"notion\" + 0.065*\"decatur\"\n", + "2019-01-31 01:13:25,619 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:13:25,620 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"reprint\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:13:25,621 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"woman\" + 0.028*\"champion\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"nation\"\n", + "2019-01-31 01:13:25,627 : INFO : topic diff=0.003442, rho=0.024515\n", + "2019-01-31 01:13:25,784 : INFO : PROGRESS: pass 0, at document #3330000/4922894\n", + "2019-01-31 01:13:27,157 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:27,424 : INFO : topic #23 (0.020): 0.133*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:13:27,425 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:13:27,426 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.015*\"arsen\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.010*\"author\"\n", + "2019-01-31 01:13:27,427 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.076*\"octob\" + 0.075*\"august\" + 0.073*\"juli\" + 0.070*\"april\" + 0.069*\"januari\" + 0.069*\"notion\" + 0.068*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:13:27,428 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"feel\" + 0.007*\"trap\" + 0.007*\"male\"\n", + "2019-01-31 01:13:27,434 : INFO : topic diff=0.003903, rho=0.024507\n", + "2019-01-31 01:13:27,595 : INFO : PROGRESS: pass 0, at document #3332000/4922894\n", + "2019-01-31 01:13:29,000 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:29,266 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.010*\"jeremiah\" + 0.010*\"european\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:13:29,267 : INFO : topic #4 (0.020): 0.022*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:13:29,268 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:13:29,269 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"feel\" + 0.007*\"trap\" + 0.007*\"male\"\n", + "2019-01-31 01:13:29,270 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.019*\"pain\" + 0.019*\"illicit\" + 0.019*\"arsen\" + 0.016*\"museo\" + 0.015*\"colder\" + 0.013*\"black\" + 0.013*\"western\" + 0.012*\"gai\"\n", + "2019-01-31 01:13:29,276 : INFO : topic diff=0.003799, rho=0.024500\n", + "2019-01-31 01:13:29,433 : INFO : PROGRESS: pass 0, at document #3334000/4922894\n", + "2019-01-31 01:13:30,826 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:31,092 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"muskoge\" + 0.010*\"sri\" + 0.010*\"televis\" + 0.010*\"alam\" + 0.010*\"affection\"\n", + "2019-01-31 01:13:31,093 : INFO : topic #46 (0.020): 0.017*\"norwai\" + 0.017*\"stop\" + 0.016*\"sweden\" + 0.015*\"norwegian\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.014*\"wind\" + 0.012*\"huntsvil\" + 0.012*\"treeless\" + 0.011*\"turkish\"\n", + "2019-01-31 01:13:31,094 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"feel\" + 0.007*\"trap\" + 0.007*\"incom\"\n", + "2019-01-31 01:13:31,095 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:13:31,096 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.016*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:13:31,102 : INFO : topic diff=0.003805, rho=0.024492\n", + "2019-01-31 01:13:31,260 : INFO : PROGRESS: pass 0, at document #3336000/4922894\n", + "2019-01-31 01:13:32,658 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:32,924 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:13:32,925 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.023*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.011*\"carlo\" + 0.010*\"juan\"\n", + "2019-01-31 01:13:32,926 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"jewish\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.015*\"berlin\" + 0.014*\"der\" + 0.010*\"jeremiah\" + 0.010*\"european\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:13:32,927 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.027*\"hous\" + 0.018*\"buford\" + 0.015*\"rivièr\" + 0.014*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 01:13:32,928 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.007*\"championship\" + 0.007*\"includ\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:13:32,934 : INFO : topic diff=0.003221, rho=0.024485\n", + "2019-01-31 01:13:33,089 : INFO : PROGRESS: pass 0, at document #3338000/4922894\n", + "2019-01-31 01:13:34,457 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:34,723 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:13:34,725 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:13:34,726 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.009*\"septemb\"\n", + "2019-01-31 01:13:34,727 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.015*\"israel\" + 0.015*\"berlin\" + 0.014*\"der\" + 0.010*\"jeremiah\" + 0.010*\"european\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:13:34,728 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:13:34,734 : INFO : topic diff=0.003667, rho=0.024478\n", + "2019-01-31 01:13:37,448 : INFO : -11.542 per-word bound, 2982.3 perplexity estimate based on a held-out corpus of 2000 documents with 548041 words\n", + "2019-01-31 01:13:37,448 : INFO : PROGRESS: pass 0, at document #3340000/4922894\n", + "2019-01-31 01:13:38,842 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:39,109 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:13:39,110 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 01:13:39,111 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.034*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.014*\"rivièr\" + 0.011*\"transient\"\n", + "2019-01-31 01:13:39,112 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.007*\"includ\" + 0.007*\"championship\"\n", + "2019-01-31 01:13:39,113 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.009*\"septemb\"\n", + "2019-01-31 01:13:39,119 : INFO : topic diff=0.003463, rho=0.024470\n", + "2019-01-31 01:13:39,280 : INFO : PROGRESS: pass 0, at document #3342000/4922894\n", + "2019-01-31 01:13:40,692 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:40,958 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.025*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.013*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:13:40,959 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.017*\"com\" + 0.015*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:13:40,961 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"tiepolo\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 01:13:40,962 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:13:40,963 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.013*\"czech\"\n", + "2019-01-31 01:13:40,968 : INFO : topic diff=0.003179, rho=0.024463\n", + "2019-01-31 01:13:41,124 : INFO : PROGRESS: pass 0, at document #3344000/4922894\n", + "2019-01-31 01:13:42,503 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:42,769 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:13:42,771 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 01:13:42,772 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.079*\"sens\" + 0.077*\"octob\" + 0.075*\"august\" + 0.074*\"juli\" + 0.071*\"januari\" + 0.071*\"april\" + 0.071*\"notion\" + 0.069*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:13:42,773 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.022*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.014*\"quebec\" + 0.014*\"novotná\" + 0.014*\"misericordia\"\n", + "2019-01-31 01:13:42,774 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.011*\"wreath\"\n", + "2019-01-31 01:13:42,779 : INFO : topic diff=0.003150, rho=0.024456\n", + "2019-01-31 01:13:42,943 : INFO : PROGRESS: pass 0, at document #3346000/4922894\n", + "2019-01-31 01:13:44,350 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:44,617 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:13:44,618 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:13:44,619 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:13:44,620 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:13:44,621 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:13:44,627 : INFO : topic diff=0.004405, rho=0.024448\n", + "2019-01-31 01:13:44,784 : INFO : PROGRESS: pass 0, at document #3348000/4922894\n", + "2019-01-31 01:13:46,159 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:46,426 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.043*\"line\" + 0.034*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"serv\" + 0.020*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.014*\"rivièr\" + 0.011*\"transient\"\n", + "2019-01-31 01:13:46,427 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.020*\"member\" + 0.017*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:13:46,428 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 01:13:46,429 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.021*\"arsen\" + 0.020*\"pain\" + 0.019*\"illicit\" + 0.017*\"museo\" + 0.014*\"colder\" + 0.013*\"black\" + 0.013*\"gai\" + 0.013*\"western\"\n", + "2019-01-31 01:13:46,430 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"love\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:13:46,436 : INFO : topic diff=0.003254, rho=0.024441\n", + "2019-01-31 01:13:46,594 : INFO : PROGRESS: pass 0, at document #3350000/4922894\n", + "2019-01-31 01:13:47,977 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:48,244 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"feel\" + 0.007*\"trap\" + 0.007*\"incom\"\n", + "2019-01-31 01:13:48,245 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:13:48,246 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.025*\"fifteenth\" + 0.021*\"arsen\" + 0.020*\"pain\" + 0.019*\"illicit\" + 0.017*\"museo\" + 0.014*\"colder\" + 0.013*\"black\" + 0.013*\"western\" + 0.013*\"gai\"\n", + "2019-01-31 01:13:48,247 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.076*\"octob\" + 0.074*\"august\" + 0.073*\"juli\" + 0.071*\"januari\" + 0.070*\"april\" + 0.070*\"notion\" + 0.068*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:13:48,248 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 01:13:48,254 : INFO : topic diff=0.003504, rho=0.024434\n", + "2019-01-31 01:13:48,410 : INFO : PROGRESS: pass 0, at document #3352000/4922894\n", + "2019-01-31 01:13:49,792 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:50,059 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.077*\"octob\" + 0.074*\"august\" + 0.073*\"juli\" + 0.071*\"januari\" + 0.071*\"april\" + 0.070*\"notion\" + 0.068*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:13:50,060 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.010*\"horac\"\n", + "2019-01-31 01:13:50,061 : INFO : topic #22 (0.020): 0.036*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"trap\" + 0.007*\"feel\" + 0.007*\"incom\"\n", + "2019-01-31 01:13:50,062 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 01:13:50,063 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.013*\"malaysia\"\n", + "2019-01-31 01:13:50,068 : INFO : topic diff=0.003759, rho=0.024427\n", + "2019-01-31 01:13:50,232 : INFO : PROGRESS: pass 0, at document #3354000/4922894\n", + "2019-01-31 01:13:51,646 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:51,912 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.013*\"czech\"\n", + "2019-01-31 01:13:51,914 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:13:51,915 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.022*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.014*\"novotná\" + 0.014*\"quebec\" + 0.014*\"misericordia\"\n", + "2019-01-31 01:13:51,916 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"love\"\n", + "2019-01-31 01:13:51,917 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:13:51,923 : INFO : topic diff=0.004306, rho=0.024419\n", + "2019-01-31 01:13:52,077 : INFO : PROGRESS: pass 0, at document #3356000/4922894\n", + "2019-01-31 01:13:53,442 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:53,709 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:13:53,710 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.014*\"rivièr\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 01:13:53,712 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:13:53,712 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.046*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:13:53,714 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.011*\"santa\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 01:13:53,720 : INFO : topic diff=0.003753, rho=0.024412\n", + "2019-01-31 01:13:53,936 : INFO : PROGRESS: pass 0, at document #3358000/4922894\n", + "2019-01-31 01:13:55,336 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:55,603 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.020*\"member\" + 0.017*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:13:55,604 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.026*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\" + 0.018*\"nation\"\n", + "2019-01-31 01:13:55,605 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"mean\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:13:55,606 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.048*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:13:55,607 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:13:55,613 : INFO : topic diff=0.003366, rho=0.024405\n", + "2019-01-31 01:13:58,339 : INFO : -11.800 per-word bound, 3565.4 perplexity estimate based on a held-out corpus of 2000 documents with 583734 words\n", + "2019-01-31 01:13:58,339 : INFO : PROGRESS: pass 0, at document #3360000/4922894\n", + "2019-01-31 01:13:59,730 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:13:59,997 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 01:13:59,998 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.017*\"player\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:13:59,999 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:14:00,000 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:14:00,001 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:14:00,007 : INFO : topic diff=0.004039, rho=0.024398\n", + "2019-01-31 01:14:00,164 : INFO : PROGRESS: pass 0, at document #3362000/4922894\n", + "2019-01-31 01:14:01,541 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:01,808 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"task\" + 0.009*\"district\"\n", + "2019-01-31 01:14:01,809 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:14:01,810 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"like\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:14:01,812 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:14:01,813 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"develop\" + 0.010*\"organ\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:14:01,818 : INFO : topic diff=0.003565, rho=0.024390\n", + "2019-01-31 01:14:01,973 : INFO : PROGRESS: pass 0, at document #3364000/4922894\n", + "2019-01-31 01:14:03,335 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:03,602 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:14:03,603 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.037*\"cotton\" + 0.036*\"tortur\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.021*\"multitud\" + 0.019*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:14:03,604 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.009*\"task\" + 0.009*\"district\"\n", + "2019-01-31 01:14:03,605 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 01:14:03,606 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:14:03,612 : INFO : topic diff=0.003327, rho=0.024383\n", + "2019-01-31 01:14:03,777 : INFO : PROGRESS: pass 0, at document #3366000/4922894\n", + "2019-01-31 01:14:05,200 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:05,466 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.042*\"line\" + 0.036*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"traceabl\" + 0.020*\"serv\" + 0.016*\"airmen\" + 0.015*\"rivièr\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:14:05,468 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:14:05,469 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.014*\"selma\" + 0.014*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 01:14:05,470 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:14:05,471 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.048*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:14:05,476 : INFO : topic diff=0.004753, rho=0.024376\n", + "2019-01-31 01:14:05,634 : INFO : PROGRESS: pass 0, at document #3368000/4922894\n", + "2019-01-31 01:14:07,017 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:07,284 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"gestur\"\n", + "2019-01-31 01:14:07,285 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:14:07,286 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.021*\"rotterdam\" + 0.019*\"quarterli\" + 0.019*\"duke\" + 0.016*\"grammat\" + 0.016*\"idiosyncrat\" + 0.013*\"count\" + 0.013*\"portugues\" + 0.013*\"kingdom\"\n", + "2019-01-31 01:14:07,287 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:14:07,288 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.080*\"sens\" + 0.077*\"octob\" + 0.074*\"juli\" + 0.074*\"august\" + 0.072*\"januari\" + 0.071*\"april\" + 0.071*\"notion\" + 0.069*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:14:07,294 : INFO : topic diff=0.003514, rho=0.024369\n", + "2019-01-31 01:14:07,454 : INFO : PROGRESS: pass 0, at document #3370000/4922894\n", + "2019-01-31 01:14:08,846 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:09,113 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.020*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"lobe\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\"\n", + "2019-01-31 01:14:09,114 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:14:09,115 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"women\"\n", + "2019-01-31 01:14:09,116 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:14:09,117 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 01:14:09,123 : INFO : topic diff=0.003778, rho=0.024361\n", + "2019-01-31 01:14:09,282 : INFO : PROGRESS: pass 0, at document #3372000/4922894\n", + "2019-01-31 01:14:10,672 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:10,939 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:14:10,940 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:14:10,941 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.020*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"lobe\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\"\n", + "2019-01-31 01:14:10,942 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.009*\"horac\"\n", + "2019-01-31 01:14:10,943 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:14:10,949 : INFO : topic diff=0.004422, rho=0.024354\n", + "2019-01-31 01:14:11,108 : INFO : PROGRESS: pass 0, at document #3374000/4922894\n", + "2019-01-31 01:14:12,494 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:14:12,762 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:14:12,763 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"gestur\"\n", + "2019-01-31 01:14:12,764 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.009*\"task\"\n", + "2019-01-31 01:14:12,765 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:14:12,766 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.015*\"israel\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"jeremiah\" + 0.009*\"europ\"\n", + "2019-01-31 01:14:12,771 : INFO : topic diff=0.003743, rho=0.024347\n", + "2019-01-31 01:14:12,930 : INFO : PROGRESS: pass 0, at document #3376000/4922894\n", + "2019-01-31 01:14:14,316 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:14,582 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"utopian\"\n", + "2019-01-31 01:14:14,583 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:14:14,584 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"jewish\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.015*\"israel\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"jeremiah\" + 0.009*\"europ\"\n", + "2019-01-31 01:14:14,585 : INFO : topic #13 (0.020): 0.030*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.023*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:14:14,586 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.044*\"american\" + 0.027*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.017*\"player\" + 0.017*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:14:14,592 : INFO : topic diff=0.003603, rho=0.024340\n", + "2019-01-31 01:14:14,754 : INFO : PROGRESS: pass 0, at document #3378000/4922894\n", + "2019-01-31 01:14:16,156 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:16,423 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:14:16,424 : INFO : topic #44 (0.020): 0.033*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:14:16,425 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"have\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"acid\"\n", + "2019-01-31 01:14:16,426 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:14:16,427 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"feel\" + 0.007*\"male\" + 0.007*\"trap\"\n", + "2019-01-31 01:14:16,433 : INFO : topic diff=0.003798, rho=0.024332\n", + "2019-01-31 01:14:19,119 : INFO : -11.591 per-word bound, 3084.6 perplexity estimate based on a held-out corpus of 2000 documents with 560510 words\n", + "2019-01-31 01:14:19,120 : INFO : PROGRESS: pass 0, at document #3380000/4922894\n", + "2019-01-31 01:14:20,491 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:20,758 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.020*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:14:20,759 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"stop\" + 0.017*\"norwai\" + 0.015*\"swedish\" + 0.015*\"wind\" + 0.015*\"norwegian\" + 0.013*\"damag\" + 0.012*\"turkish\" + 0.012*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:14:20,760 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.030*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"muskoge\" + 0.010*\"televis\" + 0.010*\"alam\" + 0.010*\"affection\" + 0.009*\"khalsa\"\n", + "2019-01-31 01:14:20,761 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:14:20,762 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.007*\"championship\"\n", + "2019-01-31 01:14:20,768 : INFO : topic diff=0.003455, rho=0.024325\n", + "2019-01-31 01:14:20,923 : INFO : PROGRESS: pass 0, at document #3382000/4922894\n", + "2019-01-31 01:14:22,288 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:22,554 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.009*\"task\"\n", + "2019-01-31 01:14:22,555 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"feel\" + 0.007*\"incom\" + 0.007*\"trap\"\n", + "2019-01-31 01:14:22,556 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"muskoge\" + 0.010*\"televis\" + 0.010*\"alam\" + 0.009*\"affection\" + 0.009*\"sri\"\n", + "2019-01-31 01:14:22,557 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.043*\"canadian\" + 0.023*\"hoar\" + 0.022*\"toronto\" + 0.020*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.015*\"novotná\" + 0.014*\"quebec\" + 0.014*\"misericordia\"\n", + "2019-01-31 01:14:22,558 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.014*\"arsen\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"magazin\" + 0.011*\"nicola\"\n", + "2019-01-31 01:14:22,564 : INFO : topic diff=0.003627, rho=0.024318\n", + "2019-01-31 01:14:22,717 : INFO : PROGRESS: pass 0, at document #3384000/4922894\n", + "2019-01-31 01:14:24,063 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:24,330 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"utopian\"\n", + "2019-01-31 01:14:24,331 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:14:24,332 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:14:24,333 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.026*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.021*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\" + 0.018*\"nation\"\n", + "2019-01-31 01:14:24,334 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:14:24,339 : INFO : topic diff=0.003777, rho=0.024311\n", + "2019-01-31 01:14:24,499 : INFO : PROGRESS: pass 0, at document #3386000/4922894\n", + "2019-01-31 01:14:25,879 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:14:26,146 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"strategist\"\n", + "2019-01-31 01:14:26,147 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:14:26,148 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:14:26,149 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:14:26,150 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"stop\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.012*\"denmark\" + 0.012*\"turkish\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:14:26,156 : INFO : topic diff=0.003653, rho=0.024304\n", + "2019-01-31 01:14:26,314 : INFO : PROGRESS: pass 0, at document #3388000/4922894\n", + "2019-01-31 01:14:27,699 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:27,965 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.025*\"poison\" + 0.025*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:14:27,966 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"wind\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.012*\"denmark\" + 0.012*\"turkish\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:14:27,967 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:14:27,968 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"noll\" + 0.022*\"japanes\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:14:27,969 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:14:27,975 : INFO : topic diff=0.004480, rho=0.024296\n", + "2019-01-31 01:14:28,191 : INFO : PROGRESS: pass 0, at document #3390000/4922894\n", + "2019-01-31 01:14:29,563 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:29,830 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.026*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.016*\"leah\" + 0.016*\"korean\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:14:29,831 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"championship\" + 0.007*\"includ\"\n", + "2019-01-31 01:14:29,832 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:14:29,833 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n", + "2019-01-31 01:14:29,834 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.031*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:14:29,840 : INFO : topic diff=0.003205, rho=0.024289\n", + "2019-01-31 01:14:29,998 : INFO : PROGRESS: pass 0, at document #3392000/4922894\n", + "2019-01-31 01:14:31,385 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:31,651 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.008*\"feel\" + 0.008*\"male\" + 0.007*\"incom\"\n", + "2019-01-31 01:14:31,652 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"utopian\"\n", + "2019-01-31 01:14:31,653 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:14:31,654 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"lobe\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\"\n", + "2019-01-31 01:14:31,655 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:14:31,661 : INFO : topic diff=0.003007, rho=0.024282\n", + "2019-01-31 01:14:31,824 : INFO : PROGRESS: pass 0, at document #3394000/4922894\n", + "2019-01-31 01:14:33,236 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:33,503 : INFO : topic #17 (0.020): 0.074*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.022*\"bishop\" + 0.018*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"poll\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:14:33,504 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:14:33,505 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.014*\"arsen\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"nicola\"\n", + "2019-01-31 01:14:33,506 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:14:33,507 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.016*\"leah\" + 0.016*\"korean\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:14:33,513 : INFO : topic diff=0.003557, rho=0.024275\n", + "2019-01-31 01:14:33,671 : INFO : PROGRESS: pass 0, at document #3396000/4922894\n", + "2019-01-31 01:14:35,053 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:35,319 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.078*\"octob\" + 0.073*\"august\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.071*\"april\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 01:14:35,320 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:14:35,321 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:14:35,322 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:14:35,323 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.026*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.016*\"leah\" + 0.016*\"korean\" + 0.015*\"sourc\" + 0.013*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:14:35,329 : INFO : topic diff=0.004078, rho=0.024268\n", + "2019-01-31 01:14:35,488 : INFO : PROGRESS: pass 0, at document #3398000/4922894\n", + "2019-01-31 01:14:36,873 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:37,140 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:14:37,141 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.043*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:14:37,141 : INFO : topic #13 (0.020): 0.029*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:14:37,143 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:14:37,144 : INFO : topic #7 (0.020): 0.020*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 01:14:37,149 : INFO : topic diff=0.003290, rho=0.024261\n", + "2019-01-31 01:14:39,862 : INFO : -11.825 per-word bound, 3627.0 perplexity estimate based on a held-out corpus of 2000 documents with 570130 words\n", + "2019-01-31 01:14:39,862 : INFO : PROGRESS: pass 0, at document #3400000/4922894\n", + "2019-01-31 01:14:41,247 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:41,514 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"alam\" + 0.010*\"khalsa\" + 0.010*\"affection\" + 0.010*\"televis\"\n", + "2019-01-31 01:14:41,515 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:14:41,516 : INFO : topic #17 (0.020): 0.073*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"poll\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 01:14:41,517 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 01:14:41,518 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"acid\" + 0.006*\"treat\"\n", + "2019-01-31 01:14:41,524 : INFO : topic diff=0.003530, rho=0.024254\n", + "2019-01-31 01:14:41,683 : INFO : PROGRESS: pass 0, at document #3402000/4922894\n", + "2019-01-31 01:14:43,069 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:43,335 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:14:43,336 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:14:43,337 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.031*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:14:43,338 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.022*\"arsen\" + 0.019*\"pain\" + 0.019*\"illicit\" + 0.018*\"museo\" + 0.014*\"colder\" + 0.013*\"gai\" + 0.013*\"black\" + 0.012*\"western\"\n", + "2019-01-31 01:14:43,339 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:14:43,345 : INFO : topic diff=0.003784, rho=0.024246\n", + "2019-01-31 01:14:43,505 : INFO : PROGRESS: pass 0, at document #3404000/4922894\n", + "2019-01-31 01:14:44,892 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:45,159 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.020*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.012*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:14:45,160 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.022*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.013*\"malaysia\"\n", + "2019-01-31 01:14:45,161 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:14:45,162 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:14:45,163 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.078*\"octob\" + 0.073*\"august\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.071*\"april\" + 0.070*\"notion\" + 0.068*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:14:45,169 : INFO : topic diff=0.004525, rho=0.024239\n", + "2019-01-31 01:14:45,328 : INFO : PROGRESS: pass 0, at document #3406000/4922894\n", + "2019-01-31 01:14:46,731 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:46,998 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.014*\"arsen\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"nicola\"\n", + "2019-01-31 01:14:46,999 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:14:47,000 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.016*\"grammat\" + 0.014*\"count\" + 0.013*\"kingdom\" + 0.013*\"portugues\"\n", + "2019-01-31 01:14:47,001 : INFO : topic #13 (0.020): 0.029*\"australia\" + 0.027*\"london\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:14:47,002 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 01:14:47,008 : INFO : topic diff=0.003319, rho=0.024232\n", + "2019-01-31 01:14:47,162 : INFO : PROGRESS: pass 0, at document #3408000/4922894\n", + "2019-01-31 01:14:48,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:48,803 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.016*\"grammat\" + 0.014*\"count\" + 0.013*\"kingdom\" + 0.013*\"portugues\"\n", + "2019-01-31 01:14:48,804 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.031*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.011*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:14:48,805 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:14:48,806 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.023*\"nation\" + 0.020*\"member\" + 0.018*\"serv\" + 0.017*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:14:48,807 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:14:48,813 : INFO : topic diff=0.003191, rho=0.024225\n", + "2019-01-31 01:14:48,971 : INFO : PROGRESS: pass 0, at document #3410000/4922894\n", + "2019-01-31 01:14:50,362 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:50,628 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.011*\"airbu\" + 0.011*\"diversifi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:14:50,630 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.042*\"canadian\" + 0.023*\"hoar\" + 0.022*\"toronto\" + 0.019*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.014*\"novotná\" + 0.014*\"quebec\" + 0.014*\"misericordia\"\n", + "2019-01-31 01:14:50,631 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:14:50,632 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:14:50,633 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"lobe\" + 0.009*\"palmer\" + 0.009*\"land\"\n", + "2019-01-31 01:14:50,639 : INFO : topic diff=0.003742, rho=0.024218\n", + "2019-01-31 01:14:50,798 : INFO : PROGRESS: pass 0, at document #3412000/4922894\n", + "2019-01-31 01:14:52,205 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:52,471 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.048*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.016*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.013*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:14:52,472 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:14:52,473 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:14:52,474 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 01:14:52,475 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.007*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:14:52,481 : INFO : topic diff=0.003123, rho=0.024211\n", + "2019-01-31 01:14:52,643 : INFO : PROGRESS: pass 0, at document #3414000/4922894\n", + "2019-01-31 01:14:54,032 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:54,299 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.044*\"vigour\" + 0.044*\"popolo\" + 0.037*\"cotton\" + 0.036*\"tortur\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.021*\"multitud\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:14:54,300 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.020*\"rotterdam\" + 0.020*\"quarterli\" + 0.016*\"idiosyncrat\" + 0.016*\"grammat\" + 0.013*\"count\" + 0.013*\"kingdom\" + 0.013*\"portugues\"\n", + "2019-01-31 01:14:54,301 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.005*\"effect\"\n", + "2019-01-31 01:14:54,302 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:14:54,303 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.020*\"requir\" + 0.018*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:14:54,309 : INFO : topic diff=0.003516, rho=0.024204\n", + "2019-01-31 01:14:54,467 : INFO : PROGRESS: pass 0, at document #3416000/4922894\n", + "2019-01-31 01:14:55,860 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:56,126 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:14:56,128 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:14:56,129 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.011*\"televis\" + 0.011*\"alam\" + 0.010*\"khalsa\" + 0.009*\"affection\"\n", + "2019-01-31 01:14:56,130 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"diggin\" + 0.007*\"championship\"\n", + "2019-01-31 01:14:56,131 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 01:14:56,137 : INFO : topic diff=0.002914, rho=0.024197\n", + "2019-01-31 01:14:56,291 : INFO : PROGRESS: pass 0, at document #3418000/4922894\n", + "2019-01-31 01:14:57,652 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:14:57,921 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.013*\"report\" + 0.013*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 01:14:57,923 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:14:57,924 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.014*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:14:57,925 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 01:14:57,926 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.043*\"canadian\" + 0.023*\"hoar\" + 0.022*\"toronto\" + 0.020*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:14:57,932 : INFO : topic diff=0.003979, rho=0.024190\n", + "2019-01-31 01:15:00,656 : INFO : -11.625 per-word bound, 3157.7 perplexity estimate based on a held-out corpus of 2000 documents with 577054 words\n", + "2019-01-31 01:15:00,656 : INFO : PROGRESS: pass 0, at document #3420000/4922894\n", + "2019-01-31 01:15:02,051 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:02,317 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"fifteenth\" + 0.023*\"arsen\" + 0.019*\"pain\" + 0.019*\"illicit\" + 0.019*\"museo\" + 0.014*\"colder\" + 0.012*\"gai\" + 0.012*\"black\" + 0.012*\"western\"\n", + "2019-01-31 01:15:02,318 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.021*\"member\" + 0.017*\"polici\" + 0.016*\"republ\" + 0.013*\"report\" + 0.013*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 01:15:02,319 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:15:02,321 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.006*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.005*\"effect\"\n", + "2019-01-31 01:15:02,322 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.015*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"champion\" + 0.010*\"squatter\"\n", + "2019-01-31 01:15:02,327 : INFO : topic diff=0.004008, rho=0.024183\n", + "2019-01-31 01:15:02,551 : INFO : PROGRESS: pass 0, at document #3422000/4922894\n", + "2019-01-31 01:15:03,979 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:04,246 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.020*\"quarterli\" + 0.019*\"rotterdam\" + 0.017*\"idiosyncrat\" + 0.016*\"grammat\" + 0.013*\"count\" + 0.013*\"kingdom\" + 0.013*\"portugues\"\n", + "2019-01-31 01:15:04,247 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:15:04,248 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"israel\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"isra\" + 0.009*\"europ\"\n", + "2019-01-31 01:15:04,249 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:15:04,250 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:15:04,256 : INFO : topic diff=0.003858, rho=0.024175\n", + "2019-01-31 01:15:04,414 : INFO : PROGRESS: pass 0, at document #3424000/4922894\n", + "2019-01-31 01:15:05,807 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:06,073 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.014*\"arsen\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:15:06,074 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:15:06,075 : INFO : topic #13 (0.020): 0.029*\"australia\" + 0.027*\"london\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.023*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:15:06,076 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.025*\"schuster\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:15:06,077 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"march\" + 0.078*\"octob\" + 0.073*\"august\" + 0.073*\"juli\" + 0.073*\"januari\" + 0.070*\"april\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 01:15:06,083 : INFO : topic diff=0.003491, rho=0.024168\n", + "2019-01-31 01:15:06,239 : INFO : PROGRESS: pass 0, at document #3426000/4922894\n", + "2019-01-31 01:15:07,627 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:07,894 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:15:07,895 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"sweden\" + 0.016*\"wind\" + 0.015*\"norwai\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.013*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"turkish\"\n", + "2019-01-31 01:15:07,896 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.011*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:15:07,897 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:15:07,898 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:15:07,903 : INFO : topic diff=0.003325, rho=0.024161\n", + "2019-01-31 01:15:08,060 : INFO : PROGRESS: pass 0, at document #3428000/4922894\n", + "2019-01-31 01:15:09,449 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:09,716 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.007*\"disco\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.005*\"effect\"\n", + "2019-01-31 01:15:09,717 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"find\" + 0.012*\"fool\" + 0.010*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:15:09,718 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"genu\" + 0.011*\"plaisir\" + 0.009*\"monument\" + 0.008*\"biom\" + 0.008*\"feel\" + 0.008*\"western\" + 0.008*\"male\" + 0.008*\"median\"\n", + "2019-01-31 01:15:09,719 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:15:09,720 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.044*\"american\" + 0.028*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.016*\"polit\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"wedg\"\n", + "2019-01-31 01:15:09,726 : INFO : topic diff=0.003611, rho=0.024154\n", + "2019-01-31 01:15:09,888 : INFO : PROGRESS: pass 0, at document #3430000/4922894\n", + "2019-01-31 01:15:11,293 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:11,563 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:15:11,564 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:15:11,565 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:15:11,566 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.044*\"vigour\" + 0.044*\"popolo\" + 0.036*\"cotton\" + 0.036*\"tortur\" + 0.022*\"adulthood\" + 0.022*\"area\" + 0.020*\"multitud\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:15:11,567 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.023*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:15:11,573 : INFO : topic diff=0.003685, rho=0.024147\n", + "2019-01-31 01:15:11,728 : INFO : PROGRESS: pass 0, at document #3432000/4922894\n", + "2019-01-31 01:15:13,100 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:13,367 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.033*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:15:13,368 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:15:13,369 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:15:13,370 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"silicon\" + 0.011*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 01:15:13,371 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 01:15:13,377 : INFO : topic diff=0.002838, rho=0.024140\n", + "2019-01-31 01:15:13,533 : INFO : PROGRESS: pass 0, at document #3434000/4922894\n", + "2019-01-31 01:15:14,906 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:15,173 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.007*\"comic\" + 0.007*\"appear\" + 0.006*\"storag\" + 0.006*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:15:15,174 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:15:15,175 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:15:15,176 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:15:15,177 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:15:15,183 : INFO : topic diff=0.003527, rho=0.024133\n", + "2019-01-31 01:15:15,339 : INFO : PROGRESS: pass 0, at document #3436000/4922894\n", + "2019-01-31 01:15:16,726 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:16,993 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.015*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.010*\"champion\" + 0.010*\"squatter\"\n", + "2019-01-31 01:15:16,994 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"traceabl\" + 0.020*\"serv\" + 0.017*\"airmen\" + 0.017*\"rivièr\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:15:16,995 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:15:16,996 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:15:16,997 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:15:17,003 : INFO : topic diff=0.003398, rho=0.024126\n", + "2019-01-31 01:15:17,163 : INFO : PROGRESS: pass 0, at document #3438000/4922894\n", + "2019-01-31 01:15:18,567 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:18,834 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:15:18,834 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"traceabl\" + 0.020*\"serv\" + 0.017*\"airmen\" + 0.017*\"rivièr\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:15:18,836 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:15:18,837 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"pathwai\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.005*\"effect\"\n", + "2019-01-31 01:15:18,838 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:15:18,844 : INFO : topic diff=0.003924, rho=0.024119\n", + "2019-01-31 01:15:21,498 : INFO : -11.858 per-word bound, 3712.3 perplexity estimate based on a held-out corpus of 2000 documents with 530854 words\n", + "2019-01-31 01:15:21,498 : INFO : PROGRESS: pass 0, at document #3440000/4922894\n", + "2019-01-31 01:15:22,880 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:23,147 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.013*\"palmer\" + 0.010*\"foam\" + 0.010*\"north\" + 0.010*\"nation\" + 0.009*\"sourc\"\n", + "2019-01-31 01:15:23,148 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.015*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.009*\"local\"\n", + "2019-01-31 01:15:23,149 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:15:23,150 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.079*\"march\" + 0.077*\"octob\" + 0.073*\"juli\" + 0.073*\"januari\" + 0.072*\"august\" + 0.071*\"april\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 01:15:23,151 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.024*\"sourc\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:15:23,157 : INFO : topic diff=0.003858, rho=0.024112\n", + "2019-01-31 01:15:23,316 : INFO : PROGRESS: pass 0, at document #3442000/4922894\n", + "2019-01-31 01:15:24,798 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:25,066 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.025*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:15:25,067 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:15:25,068 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"lizard\"\n", + "2019-01-31 01:15:25,070 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"arsen\" + 0.025*\"fifteenth\" + 0.020*\"museo\" + 0.019*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.013*\"gai\" + 0.012*\"black\" + 0.011*\"western\"\n", + "2019-01-31 01:15:25,071 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"linear\" + 0.011*\"silicon\" + 0.010*\"depress\"\n", + "2019-01-31 01:15:25,077 : INFO : topic diff=0.003395, rho=0.024105\n", + "2019-01-31 01:15:25,234 : INFO : PROGRESS: pass 0, at document #3444000/4922894\n", + "2019-01-31 01:15:26,618 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:26,885 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.031*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:15:26,886 : INFO : topic #27 (0.020): 0.069*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.015*\"ret\" + 0.014*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.010*\"champion\" + 0.009*\"squatter\"\n", + "2019-01-31 01:15:26,887 : INFO : topic #45 (0.020): 0.027*\"jpg\" + 0.025*\"arsen\" + 0.025*\"fifteenth\" + 0.020*\"museo\" + 0.019*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.013*\"gai\" + 0.012*\"black\" + 0.012*\"western\"\n", + "2019-01-31 01:15:26,888 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.015*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:15:26,890 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:15:26,896 : INFO : topic diff=0.003107, rho=0.024098\n", + "2019-01-31 01:15:27,051 : INFO : PROGRESS: pass 0, at document #3446000/4922894\n", + "2019-01-31 01:15:28,417 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:28,687 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.048*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"sourc\" + 0.015*\"leah\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:15:28,688 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"utopian\" + 0.006*\"théori\"\n", + "2019-01-31 01:15:28,689 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.026*\"arsen\" + 0.024*\"fifteenth\" + 0.020*\"museo\" + 0.019*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.013*\"gai\" + 0.012*\"black\" + 0.012*\"western\"\n", + "2019-01-31 01:15:28,690 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:15:28,692 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.013*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"linear\" + 0.011*\"silicon\" + 0.010*\"depress\"\n", + "2019-01-31 01:15:28,698 : INFO : topic diff=0.003295, rho=0.024091\n", + "2019-01-31 01:15:28,852 : INFO : PROGRESS: pass 0, at document #3448000/4922894\n", + "2019-01-31 01:15:30,217 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:30,483 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.013*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:15:30,485 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.006*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:15:30,486 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.013*\"palmer\" + 0.010*\"north\" + 0.010*\"foam\" + 0.010*\"nation\" + 0.009*\"sourc\"\n", + "2019-01-31 01:15:30,487 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.010*\"reconstruct\"\n", + "2019-01-31 01:15:30,488 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:15:30,494 : INFO : topic diff=0.004371, rho=0.024084\n", + "2019-01-31 01:15:30,653 : INFO : PROGRESS: pass 0, at document #3450000/4922894\n", + "2019-01-31 01:15:32,045 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:32,311 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.048*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"sourc\" + 0.015*\"leah\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:15:32,312 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.008*\"class\"\n", + "2019-01-31 01:15:32,314 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:15:32,315 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:15:32,316 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.011*\"anglo\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.010*\"tajikistan\" + 0.010*\"alam\" + 0.010*\"affection\"\n", + "2019-01-31 01:15:32,322 : INFO : topic diff=0.003806, rho=0.024077\n", + "2019-01-31 01:15:32,479 : INFO : PROGRESS: pass 0, at document #3452000/4922894\n", + "2019-01-31 01:15:33,871 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:34,137 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:15:34,139 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:15:34,139 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"australian\" + 0.023*\"england\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:15:34,141 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.005*\"effect\"\n", + "2019-01-31 01:15:34,142 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:15:34,148 : INFO : topic diff=0.003816, rho=0.024070\n", + "2019-01-31 01:15:34,360 : INFO : PROGRESS: pass 0, at document #3454000/4922894\n", + "2019-01-31 01:15:35,746 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:36,013 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.013*\"palmer\" + 0.010*\"north\" + 0.010*\"nation\" + 0.009*\"foam\" + 0.009*\"sourc\"\n", + "2019-01-31 01:15:36,014 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.035*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"traceabl\" + 0.020*\"serv\" + 0.018*\"rivièr\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:15:36,016 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.018*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.010*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 01:15:36,017 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.032*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:15:36,018 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.017*\"republ\" + 0.017*\"polici\" + 0.014*\"report\" + 0.013*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 01:15:36,024 : INFO : topic diff=0.003505, rho=0.024063\n", + "2019-01-31 01:15:36,178 : INFO : PROGRESS: pass 0, at document #3456000/4922894\n", + "2019-01-31 01:15:37,556 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:37,823 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.010*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"storag\" + 0.007*\"appear\" + 0.006*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:15:37,824 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.031*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:15:37,825 : INFO : topic #45 (0.020): 0.026*\"jpg\" + 0.026*\"arsen\" + 0.024*\"fifteenth\" + 0.020*\"museo\" + 0.019*\"pain\" + 0.018*\"illicit\" + 0.014*\"colder\" + 0.013*\"gai\" + 0.012*\"black\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:15:37,826 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"rivièr\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"silicon\" + 0.010*\"depress\"\n", + "2019-01-31 01:15:37,827 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.010*\"reconstruct\"\n", + "2019-01-31 01:15:37,833 : INFO : topic diff=0.003642, rho=0.024056\n", + "2019-01-31 01:15:37,991 : INFO : PROGRESS: pass 0, at document #3458000/4922894\n", + "2019-01-31 01:15:39,359 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:39,625 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:15:39,626 : INFO : topic #10 (0.020): 0.013*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.005*\"effect\"\n", + "2019-01-31 01:15:39,627 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.014*\"ret\" + 0.014*\"driver\" + 0.013*\"fool\" + 0.013*\"tornado\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:15:39,628 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.017*\"republ\" + 0.017*\"polici\" + 0.013*\"report\" + 0.013*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 01:15:39,629 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.032*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.022*\"noll\" + 0.020*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.013*\"winner\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:15:39,635 : INFO : topic diff=0.003291, rho=0.024049\n", + "2019-01-31 01:15:42,283 : INFO : -11.556 per-word bound, 3010.0 perplexity estimate based on a held-out corpus of 2000 documents with 558121 words\n", + "2019-01-31 01:15:42,284 : INFO : PROGRESS: pass 0, at document #3460000/4922894\n", + "2019-01-31 01:15:43,645 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:43,912 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:15:43,913 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"utopian\"\n", + "2019-01-31 01:15:43,914 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.030*\"priest\" + 0.020*\"rotterdam\" + 0.019*\"duke\" + 0.019*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.016*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 01:15:43,915 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"sweden\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.015*\"swedish\" + 0.013*\"damag\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"treeless\" + 0.010*\"denmark\"\n", + "2019-01-31 01:15:43,916 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.021*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"women\" + 0.013*\"chamber\"\n", + "2019-01-31 01:15:43,922 : INFO : topic diff=0.002954, rho=0.024042\n", + "2019-01-31 01:15:44,074 : INFO : PROGRESS: pass 0, at document #3462000/4922894\n", + "2019-01-31 01:15:45,414 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:45,681 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:15:45,682 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"utopian\" + 0.006*\"théori\"\n", + "2019-01-31 01:15:45,683 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:15:45,684 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:15:45,685 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:15:45,691 : INFO : topic diff=0.003354, rho=0.024035\n", + "2019-01-31 01:15:45,844 : INFO : PROGRESS: pass 0, at document #3464000/4922894\n", + "2019-01-31 01:15:47,193 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:47,459 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.031*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:15:47,460 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:15:47,461 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:15:47,462 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.044*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.019*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"wedg\"\n", + "2019-01-31 01:15:47,464 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 01:15:47,470 : INFO : topic diff=0.003137, rho=0.024028\n", + "2019-01-31 01:15:47,630 : INFO : PROGRESS: pass 0, at document #3466000/4922894\n", + "2019-01-31 01:15:49,016 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:49,283 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:15:49,284 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"utopian\"\n", + "2019-01-31 01:15:49,285 : INFO : topic #24 (0.020): 0.037*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"magazin\"\n", + "2019-01-31 01:15:49,286 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.014*\"bank\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:15:49,287 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.036*\"tortur\" + 0.036*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.020*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:15:49,293 : INFO : topic diff=0.004386, rho=0.024022\n", + "2019-01-31 01:15:49,454 : INFO : PROGRESS: pass 0, at document #3468000/4922894\n", + "2019-01-31 01:15:50,844 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:51,111 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:15:51,112 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.026*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.016*\"republ\" + 0.016*\"polici\" + 0.014*\"seaport\" + 0.014*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 01:15:51,113 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.010*\"reconstruct\"\n", + "2019-01-31 01:15:51,114 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.033*\"new\" + 0.032*\"unionist\" + 0.032*\"american\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:15:51,115 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:15:51,121 : INFO : topic diff=0.003418, rho=0.024015\n", + "2019-01-31 01:15:51,275 : INFO : PROGRESS: pass 0, at document #3470000/4922894\n", + "2019-01-31 01:15:52,616 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:52,882 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.048*\"franc\" + 0.032*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:15:52,883 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"utopian\"\n", + "2019-01-31 01:15:52,884 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.011*\"john\"\n", + "2019-01-31 01:15:52,885 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"nicola\"\n", + "2019-01-31 01:15:52,887 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.009*\"highli\"\n", + "2019-01-31 01:15:52,892 : INFO : topic diff=0.003855, rho=0.024008\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:15:53,051 : INFO : PROGRESS: pass 0, at document #3472000/4922894\n", + "2019-01-31 01:15:54,414 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:54,681 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.013*\"palmer\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"nation\" + 0.009*\"lobe\"\n", + "2019-01-31 01:15:54,682 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:15:54,683 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.008*\"bahá\"\n", + "2019-01-31 01:15:54,684 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"start\"\n", + "2019-01-31 01:15:54,685 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"nicola\"\n", + "2019-01-31 01:15:54,691 : INFO : topic diff=0.003773, rho=0.024001\n", + "2019-01-31 01:15:54,843 : INFO : PROGRESS: pass 0, at document #3474000/4922894\n", + "2019-01-31 01:15:56,207 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:56,473 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.017*\"hydrogen\" + 0.016*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:15:56,474 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:15:56,475 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.020*\"compos\" + 0.018*\"place\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:15:56,476 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:15:56,477 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:15:56,483 : INFO : topic diff=0.003531, rho=0.023994\n", + "2019-01-31 01:15:56,637 : INFO : PROGRESS: pass 0, at document #3476000/4922894\n", + "2019-01-31 01:15:58,000 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:15:58,266 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.036*\"tortur\" + 0.035*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.019*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:15:58,267 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.011*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:15:58,269 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.014*\"bank\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:15:58,270 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:15:58,271 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"rivièr\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"silicon\" + 0.010*\"depress\"\n", + "2019-01-31 01:15:58,276 : INFO : topic diff=0.003653, rho=0.023987\n", + "2019-01-31 01:15:58,436 : INFO : PROGRESS: pass 0, at document #3478000/4922894\n", + "2019-01-31 01:15:59,832 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:00,099 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.021*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:16:00,100 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"nicola\"\n", + "2019-01-31 01:16:00,101 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.011*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:16:00,102 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:16:00,104 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:16:00,109 : INFO : topic diff=0.004080, rho=0.023980\n", + "2019-01-31 01:16:02,859 : INFO : -11.986 per-word bound, 4057.6 perplexity estimate based on a held-out corpus of 2000 documents with 594242 words\n", + "2019-01-31 01:16:02,859 : INFO : PROGRESS: pass 0, at document #3480000/4922894\n", + "2019-01-31 01:16:04,257 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:04,523 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.032*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:16:04,525 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.014*\"bank\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:16:04,526 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.014*\"retroflex\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 01:16:04,527 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.016*\"grammat\" + 0.015*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 01:16:04,528 : INFO : topic #45 (0.020): 0.027*\"arsen\" + 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.021*\"museo\" + 0.019*\"pain\" + 0.018*\"illicit\" + 0.014*\"colder\" + 0.014*\"gai\" + 0.012*\"black\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:16:04,534 : INFO : topic diff=0.004051, rho=0.023973\n", + "2019-01-31 01:16:04,690 : INFO : PROGRESS: pass 0, at document #3482000/4922894\n", + "2019-01-31 01:16:06,044 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:06,310 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.019*\"place\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:16:06,311 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:16:06,312 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.018*\"hydrogen\" + 0.016*\"new\" + 0.015*\"novotná\" + 0.013*\"quebec\" + 0.013*\"misericordia\"\n", + "2019-01-31 01:16:06,313 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 01:16:06,314 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:16:06,320 : INFO : topic diff=0.003648, rho=0.023966\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:16:06,480 : INFO : PROGRESS: pass 0, at document #3484000/4922894\n", + "2019-01-31 01:16:07,871 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:08,137 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:16:08,138 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:16:08,139 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:16:08,141 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.006*\"teufel\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:16:08,142 : INFO : topic #31 (0.020): 0.049*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:16:08,148 : INFO : topic diff=0.003325, rho=0.023959\n", + "2019-01-31 01:16:08,304 : INFO : PROGRESS: pass 0, at document #3486000/4922894\n", + "2019-01-31 01:16:09,664 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:09,932 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:16:09,933 : INFO : topic #45 (0.020): 0.027*\"arsen\" + 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.021*\"museo\" + 0.018*\"pain\" + 0.018*\"illicit\" + 0.014*\"colder\" + 0.014*\"gai\" + 0.012*\"black\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:16:09,934 : INFO : topic #34 (0.020): 0.069*\"start\" + 0.033*\"new\" + 0.032*\"american\" + 0.032*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:16:09,935 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"nicola\"\n", + "2019-01-31 01:16:09,936 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"order\" + 0.008*\"legal\"\n", + "2019-01-31 01:16:09,943 : INFO : topic diff=0.003374, rho=0.023953\n", + "2019-01-31 01:16:10,164 : INFO : PROGRESS: pass 0, at document #3488000/4922894\n", + "2019-01-31 01:16:11,524 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:11,790 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.017*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:16:11,791 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:16:11,792 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:16:11,794 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"genu\" + 0.012*\"plaisir\" + 0.009*\"western\" + 0.008*\"biom\" + 0.007*\"median\" + 0.007*\"feel\" + 0.007*\"male\" + 0.007*\"monument\"\n", + "2019-01-31 01:16:11,795 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:16:11,801 : INFO : topic diff=0.003362, rho=0.023946\n", + "2019-01-31 01:16:11,961 : INFO : PROGRESS: pass 0, at document #3490000/4922894\n", + "2019-01-31 01:16:13,341 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:13,608 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:16:13,609 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"arsen\" + 0.011*\"collect\" + 0.011*\"magazin\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:16:13,610 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:16:13,611 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.036*\"tortur\" + 0.035*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.019*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:16:13,612 : INFO : topic #45 (0.020): 0.027*\"arsen\" + 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.021*\"museo\" + 0.018*\"pain\" + 0.018*\"illicit\" + 0.014*\"colder\" + 0.014*\"gai\" + 0.012*\"exhaust\" + 0.012*\"black\"\n", + "2019-01-31 01:16:13,618 : INFO : topic diff=0.002982, rho=0.023939\n", + "2019-01-31 01:16:13,771 : INFO : PROGRESS: pass 0, at document #3492000/4922894\n", + "2019-01-31 01:16:15,131 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:15,397 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.043*\"line\" + 0.034*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"traceabl\" + 0.020*\"serv\" + 0.019*\"rivièr\" + 0.016*\"airmen\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:16:15,398 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.024*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:16:15,400 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.012*\"palmer\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"nation\" + 0.009*\"sourc\"\n", + "2019-01-31 01:16:15,401 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.012*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.010*\"silicon\" + 0.010*\"depress\"\n", + "2019-01-31 01:16:15,402 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:16:15,408 : INFO : topic diff=0.004041, rho=0.023932\n", + "2019-01-31 01:16:15,563 : INFO : PROGRESS: pass 0, at document #3494000/4922894\n", + "2019-01-31 01:16:16,925 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:17,191 : INFO : topic #47 (0.020): 0.060*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.018*\"place\" + 0.014*\"orchestr\" + 0.013*\"damn\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:16:17,192 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"john\"\n", + "2019-01-31 01:16:17,194 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"order\" + 0.008*\"legal\"\n", + "2019-01-31 01:16:17,195 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:16:17,196 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:16:17,201 : INFO : topic diff=0.004123, rho=0.023925\n", + "2019-01-31 01:16:17,362 : INFO : PROGRESS: pass 0, at document #3496000/4922894\n", + "2019-01-31 01:16:18,772 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:19,039 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.008*\"bahá\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:16:19,040 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.012*\"palmer\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"nation\" + 0.009*\"sourc\"\n", + "2019-01-31 01:16:19,041 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"pseudo\"\n", + "2019-01-31 01:16:19,043 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.013*\"arsen\" + 0.011*\"collect\" + 0.011*\"magazin\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:16:19,043 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"utopian\"\n", + "2019-01-31 01:16:19,049 : INFO : topic diff=0.004156, rho=0.023918\n", + "2019-01-31 01:16:19,208 : INFO : PROGRESS: pass 0, at document #3498000/4922894\n", + "2019-01-31 01:16:20,571 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:20,837 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 01:16:20,838 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:16:20,839 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.025*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.017*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:16:20,840 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.018*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:16:20,841 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"softwar\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"championship\" + 0.007*\"diggin\"\n", + "2019-01-31 01:16:20,847 : INFO : topic diff=0.003952, rho=0.023911\n", + "2019-01-31 01:16:23,506 : INFO : -11.620 per-word bound, 3147.9 perplexity estimate based on a held-out corpus of 2000 documents with 553231 words\n", + "2019-01-31 01:16:23,506 : INFO : PROGRESS: pass 0, at document #3500000/4922894\n", + "2019-01-31 01:16:24,876 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:25,142 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.008*\"bahá\"\n", + "2019-01-31 01:16:25,143 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.012*\"palmer\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"nation\" + 0.009*\"lobe\"\n", + "2019-01-31 01:16:25,145 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:16:25,146 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.013*\"bank\" + 0.012*\"million\" + 0.011*\"market\" + 0.010*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:16:25,147 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.019*\"candid\" + 0.019*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"fool\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.010*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 01:16:25,153 : INFO : topic diff=0.003629, rho=0.023905\n", + "2019-01-31 01:16:25,310 : INFO : PROGRESS: pass 0, at document #3502000/4922894\n", + "2019-01-31 01:16:26,679 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:26,945 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.012*\"palmer\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"nation\" + 0.009*\"lobe\"\n", + "2019-01-31 01:16:26,946 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.045*\"american\" + 0.031*\"valour\" + 0.020*\"dutch\" + 0.019*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:16:26,948 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.011*\"rivièr\" + 0.011*\"constitut\" + 0.010*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"depress\"\n", + "2019-01-31 01:16:26,949 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:16:26,950 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"softwar\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"championship\" + 0.007*\"diggin\"\n", + "2019-01-31 01:16:26,956 : INFO : topic diff=0.003244, rho=0.023898\n", + "2019-01-31 01:16:27,110 : INFO : PROGRESS: pass 0, at document #3504000/4922894\n", + "2019-01-31 01:16:28,467 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:28,734 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.014*\"report\" + 0.013*\"bypass\"\n", + "2019-01-31 01:16:28,735 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.012*\"palmer\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"lobe\" + 0.009*\"sourc\"\n", + "2019-01-31 01:16:28,736 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"shirin\" + 0.015*\"sourc\" + 0.014*\"leah\" + 0.012*\"kim\"\n", + "2019-01-31 01:16:28,737 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:16:28,738 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:16:28,744 : INFO : topic diff=0.003516, rho=0.023891\n", + "2019-01-31 01:16:28,898 : INFO : PROGRESS: pass 0, at document #3506000/4922894\n", + "2019-01-31 01:16:30,236 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:30,502 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"shirin\" + 0.015*\"sourc\" + 0.014*\"leah\" + 0.012*\"kim\"\n", + "2019-01-31 01:16:30,503 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.021*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:16:30,504 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.019*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.012*\"palmer\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.009*\"lobe\"\n", + "2019-01-31 01:16:30,505 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:16:30,506 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.027*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:16:30,512 : INFO : topic diff=0.003585, rho=0.023884\n", + "2019-01-31 01:16:30,662 : INFO : PROGRESS: pass 0, at document #3508000/4922894\n", + "2019-01-31 01:16:31,974 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:32,243 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:16:32,244 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.028*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.010*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:16:32,245 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"softwar\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"championship\"\n", + "2019-01-31 01:16:32,246 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:16:32,247 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:16:32,253 : INFO : topic diff=0.004287, rho=0.023877\n", + "2019-01-31 01:16:32,412 : INFO : PROGRESS: pass 0, at document #3510000/4922894\n", + "2019-01-31 01:16:33,802 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:34,069 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:16:34,070 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.009*\"biom\" + 0.007*\"median\" + 0.007*\"feel\" + 0.007*\"male\" + 0.007*\"monument\"\n", + "2019-01-31 01:16:34,071 : INFO : topic #48 (0.020): 0.080*\"sens\" + 0.079*\"march\" + 0.077*\"octob\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.071*\"august\" + 0.070*\"judici\" + 0.069*\"april\" + 0.069*\"notion\" + 0.066*\"decatur\"\n", + "2019-01-31 01:16:34,072 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.043*\"line\" + 0.033*\"raid\" + 0.028*\"rosenwald\" + 0.020*\"rivièr\" + 0.020*\"traceabl\" + 0.019*\"serv\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:16:34,073 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"till\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:16:34,079 : INFO : topic diff=0.003441, rho=0.023870\n", + "2019-01-31 01:16:34,238 : INFO : PROGRESS: pass 0, at document #3512000/4922894\n", + "2019-01-31 01:16:35,636 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:35,903 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.012*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:16:35,904 : INFO : topic #20 (0.020): 0.147*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"task\" + 0.010*\"district\" + 0.010*\"gothic\"\n", + "2019-01-31 01:16:35,905 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:16:35,906 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:16:35,907 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.010*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:16:35,913 : INFO : topic diff=0.004478, rho=0.023864\n", + "2019-01-31 01:16:36,072 : INFO : PROGRESS: pass 0, at document #3514000/4922894\n", + "2019-01-31 01:16:37,452 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:37,718 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:16:37,719 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.024*\"schuster\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"degre\" + 0.012*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:16:37,720 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.030*\"priest\" + 0.020*\"rotterdam\" + 0.020*\"duke\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.016*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.013*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 01:16:37,722 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.009*\"man\" + 0.009*\"comic\" + 0.007*\"storag\" + 0.007*\"appear\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:16:37,723 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:16:37,729 : INFO : topic diff=0.003138, rho=0.023857\n", + "2019-01-31 01:16:37,885 : INFO : PROGRESS: pass 0, at document #3516000/4922894\n", + "2019-01-31 01:16:39,262 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:39,529 : INFO : topic #47 (0.020): 0.060*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.014*\"orchestr\" + 0.014*\"damn\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:16:39,530 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.033*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:16:39,531 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.013*\"bank\" + 0.012*\"million\" + 0.011*\"market\" + 0.010*\"produc\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.008*\"yawn\" + 0.007*\"trace\"\n", + "2019-01-31 01:16:39,532 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"arsen\" + 0.011*\"collect\" + 0.011*\"magazin\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:16:39,534 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:16:39,540 : INFO : topic diff=0.003031, rho=0.023850\n", + "2019-01-31 01:16:39,760 : INFO : PROGRESS: pass 0, at document #3518000/4922894\n", + "2019-01-31 01:16:41,175 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:41,442 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"task\" + 0.010*\"district\" + 0.010*\"gothic\"\n", + "2019-01-31 01:16:41,443 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.037*\"cotton\" + 0.035*\"tortur\" + 0.024*\"toni\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.021*\"area\" + 0.020*\"citi\"\n", + "2019-01-31 01:16:41,444 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:16:41,445 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.019*\"buford\" + 0.014*\"histor\" + 0.011*\"linear\" + 0.011*\"rivièr\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"silicon\" + 0.010*\"depress\"\n", + "2019-01-31 01:16:41,446 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:16:41,452 : INFO : topic diff=0.003552, rho=0.023843\n", + "2019-01-31 01:16:44,061 : INFO : -11.537 per-word bound, 2972.2 perplexity estimate based on a held-out corpus of 2000 documents with 552961 words\n", + "2019-01-31 01:16:44,061 : INFO : PROGRESS: pass 0, at document #3520000/4922894\n", + "2019-01-31 01:16:45,405 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:45,672 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:16:45,673 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:16:45,674 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:16:45,676 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"mexican\"\n", + "2019-01-31 01:16:45,677 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 01:16:45,683 : INFO : topic diff=0.004242, rho=0.023837\n", + "2019-01-31 01:16:45,837 : INFO : PROGRESS: pass 0, at document #3522000/4922894\n", + "2019-01-31 01:16:47,191 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:47,458 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.014*\"orchestr\" + 0.014*\"damn\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:16:47,459 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"bank\" + 0.012*\"million\" + 0.011*\"market\" + 0.010*\"produc\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.008*\"yawn\" + 0.007*\"trace\"\n", + "2019-01-31 01:16:47,460 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"televis\" + 0.010*\"khalsa\" + 0.010*\"alam\" + 0.009*\"tajikistan\"\n", + "2019-01-31 01:16:47,461 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.025*\"nation\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:16:47,462 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:16:47,468 : INFO : topic diff=0.003727, rho=0.023830\n", + "2019-01-31 01:16:47,625 : INFO : PROGRESS: pass 0, at document #3524000/4922894\n", + "2019-01-31 01:16:48,999 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:49,266 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.014*\"pakistan\" + 0.014*\"islam\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"televis\" + 0.010*\"khalsa\" + 0.010*\"alam\" + 0.009*\"affection\"\n", + "2019-01-31 01:16:49,267 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.025*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:16:49,268 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:16:49,269 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.005*\"utopian\"\n", + "2019-01-31 01:16:49,271 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"bank\" + 0.012*\"million\" + 0.011*\"market\" + 0.010*\"produc\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.008*\"yawn\" + 0.007*\"trace\"\n", + "2019-01-31 01:16:49,277 : INFO : topic diff=0.003460, rho=0.023823\n", + "2019-01-31 01:16:49,437 : INFO : PROGRESS: pass 0, at document #3526000/4922894\n", + "2019-01-31 01:16:50,830 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:51,097 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:16:51,098 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:16:51,099 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.027*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:16:51,100 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:16:51,102 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.028*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.010*\"reconstruct\"\n", + "2019-01-31 01:16:51,107 : INFO : topic diff=0.003938, rho=0.023816\n", + "2019-01-31 01:16:51,268 : INFO : PROGRESS: pass 0, at document #3528000/4922894\n", + "2019-01-31 01:16:52,675 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:52,941 : INFO : topic #26 (0.020): 0.029*\"champion\" + 0.029*\"workplac\" + 0.027*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.021*\"event\" + 0.021*\"medal\" + 0.019*\"atheist\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:16:52,942 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:16:52,943 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:16:52,945 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.014*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:16:52,946 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.028*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:16:52,952 : INFO : topic diff=0.003878, rho=0.023810\n", + "2019-01-31 01:16:53,108 : INFO : PROGRESS: pass 0, at document #3530000/4922894\n", + "2019-01-31 01:16:54,485 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:54,752 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.017*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"order\" + 0.009*\"polaris\" + 0.008*\"legal\"\n", + "2019-01-31 01:16:54,753 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.014*\"swedish\" + 0.014*\"damag\" + 0.013*\"wind\" + 0.012*\"norwegian\" + 0.012*\"denmark\" + 0.011*\"treeless\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:16:54,754 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.030*\"priest\" + 0.021*\"duke\" + 0.020*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.016*\"idiosyncrat\" + 0.015*\"kingdom\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 01:16:54,755 : INFO : topic #45 (0.020): 0.028*\"arsen\" + 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.021*\"museo\" + 0.019*\"illicit\" + 0.018*\"pain\" + 0.015*\"colder\" + 0.014*\"gai\" + 0.012*\"black\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:16:54,756 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"brio\"\n", + "2019-01-31 01:16:54,762 : INFO : topic diff=0.003643, rho=0.023803\n", + "2019-01-31 01:16:54,923 : INFO : PROGRESS: pass 0, at document #3532000/4922894\n", + "2019-01-31 01:16:56,329 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:56,596 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.036*\"cotton\" + 0.035*\"tortur\" + 0.022*\"toni\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.020*\"citi\"\n", + "2019-01-31 01:16:56,597 : INFO : topic #45 (0.020): 0.028*\"arsen\" + 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.021*\"museo\" + 0.019*\"illicit\" + 0.018*\"pain\" + 0.015*\"colder\" + 0.013*\"gai\" + 0.013*\"black\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:16:56,598 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.019*\"taxpay\" + 0.018*\"candid\" + 0.016*\"ret\" + 0.014*\"driver\" + 0.012*\"find\" + 0.012*\"fool\" + 0.011*\"tornado\" + 0.010*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:16:56,599 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.078*\"march\" + 0.076*\"octob\" + 0.071*\"juli\" + 0.069*\"august\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.067*\"april\" + 0.067*\"judici\" + 0.065*\"decatur\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:16:56,600 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:16:56,605 : INFO : topic diff=0.004546, rho=0.023796\n", + "2019-01-31 01:16:56,762 : INFO : PROGRESS: pass 0, at document #3534000/4922894\n", + "2019-01-31 01:16:58,142 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:16:58,408 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.036*\"cotton\" + 0.035*\"tortur\" + 0.022*\"multitud\" + 0.022*\"toni\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.020*\"citi\"\n", + "2019-01-31 01:16:58,409 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"televis\" + 0.010*\"khalsa\" + 0.010*\"alam\" + 0.009*\"affection\"\n", + "2019-01-31 01:16:58,410 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.026*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:16:58,412 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.012*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:16:58,412 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.021*\"medal\" + 0.021*\"event\" + 0.019*\"atheist\" + 0.019*\"alic\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:16:58,418 : INFO : topic diff=0.003382, rho=0.023789\n", + "2019-01-31 01:16:58,572 : INFO : PROGRESS: pass 0, at document #3536000/4922894\n", + "2019-01-31 01:16:59,935 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:00,202 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.016*\"hydrogen\" + 0.016*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 01:17:00,203 : INFO : topic #45 (0.020): 0.029*\"arsen\" + 0.026*\"jpg\" + 0.024*\"fifteenth\" + 0.021*\"museo\" + 0.019*\"illicit\" + 0.019*\"pain\" + 0.015*\"colder\" + 0.014*\"gai\" + 0.013*\"black\" + 0.012*\"exhaust\"\n", + "2019-01-31 01:17:00,204 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.035*\"raid\" + 0.027*\"rosenwald\" + 0.022*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:17:00,205 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:17:00,206 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.024*\"personifi\" + 0.021*\"moscow\" + 0.019*\"poland\" + 0.015*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:17:00,212 : INFO : topic diff=0.003572, rho=0.023783\n", + "2019-01-31 01:17:00,370 : INFO : PROGRESS: pass 0, at document #3538000/4922894\n", + "2019-01-31 01:17:01,727 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:01,996 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:17:01,997 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.028*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:17:01,998 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"magazin\"\n", + "2019-01-31 01:17:01,999 : INFO : topic #9 (0.020): 0.066*\"bone\" + 0.045*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:17:02,000 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:17:02,006 : INFO : topic diff=0.003498, rho=0.023776\n", + "2019-01-31 01:17:04,718 : INFO : -11.322 per-word bound, 2560.3 perplexity estimate based on a held-out corpus of 2000 documents with 561770 words\n", + "2019-01-31 01:17:04,718 : INFO : PROGRESS: pass 0, at document #3540000/4922894\n", + "2019-01-31 01:17:06,095 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:06,362 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:17:06,363 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.015*\"sourc\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.012*\"kim\"\n", + "2019-01-31 01:17:06,365 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:17:06,366 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.019*\"buford\" + 0.014*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"rivièr\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:17:06,367 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:17:06,373 : INFO : topic diff=0.003522, rho=0.023769\n", + "2019-01-31 01:17:06,528 : INFO : PROGRESS: pass 0, at document #3542000/4922894\n", + "2019-01-31 01:17:08,316 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:08,586 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"mexican\"\n", + "2019-01-31 01:17:08,587 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.036*\"cotton\" + 0.036*\"tortur\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.021*\"toni\" + 0.020*\"citi\"\n", + "2019-01-31 01:17:08,588 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:17:08,589 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.015*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:17:08,590 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.014*\"swedish\" + 0.013*\"wind\" + 0.013*\"damag\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.012*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:17:08,596 : INFO : topic diff=0.003359, rho=0.023762\n", + "2019-01-31 01:17:08,754 : INFO : PROGRESS: pass 0, at document #3544000/4922894\n", + "2019-01-31 01:17:10,128 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:10,394 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.011*\"coalit\" + 0.011*\"pope\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:17:10,395 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:17:10,396 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:17:10,397 : INFO : topic #31 (0.020): 0.049*\"fusiform\" + 0.028*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:17:10,399 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:17:10,404 : INFO : topic diff=0.004090, rho=0.023756\n", + "2019-01-31 01:17:10,560 : INFO : PROGRESS: pass 0, at document #3546000/4922894\n", + "2019-01-31 01:17:11,904 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:12,170 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.053*\"parti\" + 0.026*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:17:12,172 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:17:12,173 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:17:12,174 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.011*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:17:12,175 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"feel\" + 0.007*\"male\" + 0.007*\"incom\"\n", + "2019-01-31 01:17:12,181 : INFO : topic diff=0.002942, rho=0.023749\n", + "2019-01-31 01:17:12,342 : INFO : PROGRESS: pass 0, at document #3548000/4922894\n", + "2019-01-31 01:17:13,745 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:14,011 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:17:14,012 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.031*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:17:14,014 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:17:14,015 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:17:14,016 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"vigour\" + 0.043*\"popolo\" + 0.036*\"cotton\" + 0.036*\"tortur\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.020*\"toni\" + 0.020*\"citi\"\n", + "2019-01-31 01:17:14,022 : INFO : topic diff=0.003812, rho=0.023742\n", + "2019-01-31 01:17:14,237 : INFO : PROGRESS: pass 0, at document #3550000/4922894\n", + "2019-01-31 01:17:15,642 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:15,908 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.034*\"raid\" + 0.027*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:17:15,910 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:17:15,911 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.019*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"rivièr\" + 0.010*\"silicon\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:17:15,912 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:17:15,913 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.053*\"parti\" + 0.026*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:17:15,919 : INFO : topic diff=0.003343, rho=0.023736\n", + "2019-01-31 01:17:16,074 : INFO : PROGRESS: pass 0, at document #3552000/4922894\n", + "2019-01-31 01:17:17,427 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:17,694 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"magazin\"\n", + "2019-01-31 01:17:17,695 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:17:17,696 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.034*\"raid\" + 0.027*\"rosenwald\" + 0.025*\"rivièr\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:17:17,697 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.045*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.017*\"korean\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.014*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 01:17:17,698 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.053*\"parti\" + 0.026*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:17:17,704 : INFO : topic diff=0.004405, rho=0.023729\n", + "2019-01-31 01:17:17,857 : INFO : PROGRESS: pass 0, at document #3554000/4922894\n", + "2019-01-31 01:17:19,204 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:19,469 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:17:19,471 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"southern\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 01:17:19,472 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.011*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"fleet\" + 0.008*\"bahá\"\n", + "2019-01-31 01:17:19,473 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.016*\"martin\" + 0.015*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:17:19,474 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:17:19,479 : INFO : topic diff=0.003399, rho=0.023722\n", + "2019-01-31 01:17:19,642 : INFO : PROGRESS: pass 0, at document #3556000/4922894\n", + "2019-01-31 01:17:21,015 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:21,282 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:17:21,283 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 01:17:21,284 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.016*\"misericordia\" + 0.014*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 01:17:21,285 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"offic\" + 0.025*\"nation\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:17:21,286 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.009*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:17:21,292 : INFO : topic diff=0.003774, rho=0.023716\n", + "2019-01-31 01:17:21,448 : INFO : PROGRESS: pass 0, at document #3558000/4922894\n", + "2019-01-31 01:17:22,801 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:23,068 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.031*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:17:23,069 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.029*\"priest\" + 0.021*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"quarterli\" + 0.017*\"idiosyncrat\" + 0.017*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.013*\"count\"\n", + "2019-01-31 01:17:23,070 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.019*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"rivièr\" + 0.010*\"briarwood\" + 0.010*\"silicon\"\n", + "2019-01-31 01:17:23,071 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.048*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:17:23,072 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.032*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.011*\"muskoge\" + 0.010*\"anglo\" + 0.010*\"khalsa\" + 0.010*\"televis\" + 0.010*\"affection\" + 0.010*\"alam\"\n", + "2019-01-31 01:17:23,078 : INFO : topic diff=0.003613, rho=0.023709\n", + "2019-01-31 01:17:25,756 : INFO : -11.688 per-word bound, 3299.6 perplexity estimate based on a held-out corpus of 2000 documents with 559634 words\n", + "2019-01-31 01:17:25,757 : INFO : PROGRESS: pass 0, at document #3560000/4922894\n", + "2019-01-31 01:17:27,133 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:27,399 : INFO : topic #28 (0.020): 0.033*\"build\" + 0.028*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"rivièr\" + 0.010*\"briarwood\" + 0.010*\"silicon\"\n", + "2019-01-31 01:17:27,400 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.024*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:17:27,401 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"poll\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:17:27,402 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.028*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:17:27,403 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"magazin\"\n", + "2019-01-31 01:17:27,409 : INFO : topic diff=0.003368, rho=0.023702\n", + "2019-01-31 01:17:27,568 : INFO : PROGRESS: pass 0, at document #3562000/4922894\n", + "2019-01-31 01:17:28,936 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:29,202 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"john\"\n", + "2019-01-31 01:17:29,203 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:17:29,204 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.011*\"degre\" + 0.011*\"word\" + 0.011*\"http\"\n", + "2019-01-31 01:17:29,205 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"district\" + 0.009*\"start\"\n", + "2019-01-31 01:17:29,206 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.033*\"raid\" + 0.026*\"rosenwald\" + 0.024*\"rivièr\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.016*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:17:29,212 : INFO : topic diff=0.003161, rho=0.023696\n", + "2019-01-31 01:17:29,369 : INFO : PROGRESS: pass 0, at document #3564000/4922894\n", + "2019-01-31 01:17:30,744 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:31,010 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"offic\" + 0.025*\"nation\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:17:31,011 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"bank\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.008*\"yawn\" + 0.007*\"trace\"\n", + "2019-01-31 01:17:31,012 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:17:31,013 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.009*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:17:31,014 : INFO : topic #39 (0.020): 0.056*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.019*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 01:17:31,020 : INFO : topic diff=0.003937, rho=0.023689\n", + "2019-01-31 01:17:31,179 : INFO : PROGRESS: pass 0, at document #3566000/4922894\n", + "2019-01-31 01:17:32,550 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:32,818 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.010*\"district\" + 0.009*\"start\"\n", + "2019-01-31 01:17:32,819 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:17:32,820 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.020*\"korea\" + 0.018*\"shirin\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.014*\"leah\"\n", + "2019-01-31 01:17:32,821 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"march\" + 0.077*\"octob\" + 0.071*\"juli\" + 0.070*\"august\" + 0.069*\"judici\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.066*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:17:32,822 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.011*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:17:32,828 : INFO : topic diff=0.004484, rho=0.023682\n", + "2019-01-31 01:17:32,989 : INFO : PROGRESS: pass 0, at document #3568000/4922894\n", + "2019-01-31 01:17:34,395 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:34,661 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:17:34,662 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.028*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"arsen\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"magazin\"\n", + "2019-01-31 01:17:34,663 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:17:34,664 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.025*\"nation\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:17:34,665 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.013*\"jewish\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:17:34,671 : INFO : topic diff=0.003744, rho=0.023676\n", + "2019-01-31 01:17:34,826 : INFO : PROGRESS: pass 0, at document #3570000/4922894\n", + "2019-01-31 01:17:36,186 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:36,452 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:17:36,453 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.017*\"women\" + 0.013*\"prison\"\n", + "2019-01-31 01:17:36,454 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:17:36,455 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.022*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:17:36,456 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"taxpay\" + 0.019*\"candid\" + 0.017*\"ret\" + 0.014*\"driver\" + 0.013*\"tornado\" + 0.012*\"find\" + 0.012*\"squatter\" + 0.011*\"fool\" + 0.009*\"théori\"\n", + "2019-01-31 01:17:36,462 : INFO : topic diff=0.003084, rho=0.023669\n", + "2019-01-31 01:17:36,619 : INFO : PROGRESS: pass 0, at document #3572000/4922894\n", + "2019-01-31 01:17:37,992 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:38,259 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"poll\" + 0.010*\"historiographi\" + 0.010*\"cathedr\"\n", + "2019-01-31 01:17:38,260 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:17:38,261 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.025*\"poison\" + 0.025*\"reprint\" + 0.023*\"personifi\" + 0.022*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:17:38,263 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:17:38,263 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.022*\"hoar\" + 0.020*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 01:17:38,269 : INFO : topic diff=0.003464, rho=0.023662\n", + "2019-01-31 01:17:38,427 : INFO : PROGRESS: pass 0, at document #3574000/4922894\n", + "2019-01-31 01:17:39,799 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:40,065 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:17:40,066 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:17:40,067 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:17:40,068 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.033*\"raid\" + 0.026*\"rosenwald\" + 0.024*\"rivièr\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:17:40,069 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:17:40,075 : INFO : topic diff=0.003328, rho=0.023656\n", + "2019-01-31 01:17:40,233 : INFO : PROGRESS: pass 0, at document #3576000/4922894\n", + "2019-01-31 01:17:41,618 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:41,886 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 01:17:41,887 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.024*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:17:41,888 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"district\" + 0.009*\"gothic\"\n", + "2019-01-31 01:17:41,889 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.009*\"have\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 01:17:41,890 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.028*\"hous\" + 0.019*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"briarwood\" + 0.010*\"rivièr\" + 0.010*\"silicon\"\n", + "2019-01-31 01:17:41,896 : INFO : topic diff=0.003590, rho=0.023649\n", + "2019-01-31 01:17:42,048 : INFO : PROGRESS: pass 0, at document #3578000/4922894\n", + "2019-01-31 01:17:43,376 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:43,642 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:17:43,644 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.033*\"raid\" + 0.026*\"rosenwald\" + 0.024*\"rivièr\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:17:43,645 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 01:17:43,646 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.017*\"shirin\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.014*\"leah\"\n", + "2019-01-31 01:17:43,647 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.017*\"women\" + 0.013*\"prison\"\n", + "2019-01-31 01:17:43,652 : INFO : topic diff=0.003800, rho=0.023643\n", + "2019-01-31 01:17:46,409 : INFO : -11.569 per-word bound, 3037.9 perplexity estimate based on a held-out corpus of 2000 documents with 592364 words\n", + "2019-01-31 01:17:46,410 : INFO : PROGRESS: pass 0, at document #3580000/4922894\n", + "2019-01-31 01:17:47,817 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:48,083 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"district\" + 0.009*\"start\"\n", + "2019-01-31 01:17:48,084 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:17:48,086 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.011*\"degre\" + 0.011*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:17:48,087 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:17:48,088 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"arsen\" + 0.011*\"magazin\" + 0.011*\"worldwid\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:17:48,094 : INFO : topic diff=0.003957, rho=0.023636\n", + "2019-01-31 01:17:48,250 : INFO : PROGRESS: pass 0, at document #3582000/4922894\n", + "2019-01-31 01:17:49,618 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:49,884 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 01:17:49,886 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:17:49,887 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.022*\"govern\" + 0.020*\"member\" + 0.020*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:17:49,888 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"martin\" + 0.015*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:17:49,889 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.033*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.010*\"alam\" + 0.010*\"televis\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:17:49,894 : INFO : topic diff=0.003751, rho=0.023629\n", + "2019-01-31 01:17:50,111 : INFO : PROGRESS: pass 0, at document #3584000/4922894\n", + "2019-01-31 01:17:51,494 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:51,760 : INFO : topic #2 (0.020): 0.045*\"isl\" + 0.041*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"pope\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 01:17:51,761 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:17:51,763 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:17:51,764 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:17:51,765 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:17:51,771 : INFO : topic diff=0.004011, rho=0.023623\n", + "2019-01-31 01:17:51,928 : INFO : PROGRESS: pass 0, at document #3586000/4922894\n", + "2019-01-31 01:17:53,300 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:53,567 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.016*\"taxpay\" + 0.015*\"tiepolo\" + 0.015*\"martin\" + 0.013*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:17:53,568 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:17:53,569 : INFO : topic #33 (0.020): 0.065*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.011*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:17:53,570 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:17:53,571 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:17:53,577 : INFO : topic diff=0.003633, rho=0.023616\n", + "2019-01-31 01:17:53,737 : INFO : PROGRESS: pass 0, at document #3588000/4922894\n", + "2019-01-31 01:17:55,153 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:55,419 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.024*\"reprint\" + 0.024*\"poison\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:17:55,420 : INFO : topic #33 (0.020): 0.065*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:17:55,421 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"palmer\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"lobe\"\n", + "2019-01-31 01:17:55,422 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:17:55,423 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.011*\"order\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\"\n", + "2019-01-31 01:17:55,429 : INFO : topic diff=0.003215, rho=0.023610\n", + "2019-01-31 01:17:55,584 : INFO : PROGRESS: pass 0, at document #3590000/4922894\n", + "2019-01-31 01:17:56,951 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:57,217 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.013*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:17:57,219 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"jame\" + 0.012*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:17:57,220 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.006*\"modern\"\n", + "2019-01-31 01:17:57,221 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.032*\"raid\" + 0.026*\"rosenwald\" + 0.024*\"rivièr\" + 0.020*\"serv\" + 0.019*\"traceabl\" + 0.018*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:17:57,222 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.053*\"parti\" + 0.027*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.015*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:17:57,228 : INFO : topic diff=0.003583, rho=0.023603\n", + "2019-01-31 01:17:57,383 : INFO : PROGRESS: pass 0, at document #3592000/4922894\n", + "2019-01-31 01:17:58,750 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:17:59,017 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 01:17:59,018 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.006*\"modern\"\n", + "2019-01-31 01:17:59,019 : INFO : topic #9 (0.020): 0.067*\"bone\" + 0.045*\"american\" + 0.031*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:17:59,020 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"collect\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"arsen\"\n", + "2019-01-31 01:17:59,021 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.011*\"palmer\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"lobe\"\n", + "2019-01-31 01:17:59,027 : INFO : topic diff=0.004528, rho=0.023596\n", + "2019-01-31 01:17:59,184 : INFO : PROGRESS: pass 0, at document #3594000/4922894\n", + "2019-01-31 01:18:00,538 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:18:00,805 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"octob\" + 0.076*\"march\" + 0.070*\"juli\" + 0.069*\"august\" + 0.069*\"judici\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.066*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:18:00,806 : INFO : topic #45 (0.020): 0.032*\"arsen\" + 0.027*\"jpg\" + 0.026*\"museo\" + 0.025*\"fifteenth\" + 0.020*\"pain\" + 0.018*\"illicit\" + 0.014*\"colder\" + 0.014*\"gai\" + 0.013*\"exhaust\" + 0.012*\"black\"\n", + "2019-01-31 01:18:00,807 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:18:00,808 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.018*\"festiv\" + 0.018*\"women\" + 0.018*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:18:00,809 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:18:00,815 : INFO : topic diff=0.003881, rho=0.023590\n", + "2019-01-31 01:18:00,970 : INFO : PROGRESS: pass 0, at document #3596000/4922894\n", + "2019-01-31 01:18:02,339 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:02,605 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"jame\" + 0.012*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:18:02,606 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:18:02,607 : INFO : topic #31 (0.020): 0.053*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:18:02,609 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:18:02,610 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:18:02,615 : INFO : topic diff=0.003692, rho=0.023583\n", + "2019-01-31 01:18:02,773 : INFO : PROGRESS: pass 0, at document #3598000/4922894\n", + "2019-01-31 01:18:04,169 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:04,436 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"octob\" + 0.077*\"march\" + 0.071*\"juli\" + 0.069*\"august\" + 0.069*\"januari\" + 0.069*\"judici\" + 0.069*\"notion\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:18:04,437 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.025*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:18:04,438 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:18:04,439 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:18:04,440 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.009*\"have\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 01:18:04,446 : INFO : topic diff=0.004106, rho=0.023577\n", + "2019-01-31 01:18:07,101 : INFO : -11.619 per-word bound, 3144.9 perplexity estimate based on a held-out corpus of 2000 documents with 539947 words\n", + "2019-01-31 01:18:07,101 : INFO : PROGRESS: pass 0, at document #3600000/4922894\n", + "2019-01-31 01:18:08,462 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:08,728 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"octob\" + 0.077*\"march\" + 0.071*\"juli\" + 0.070*\"august\" + 0.069*\"notion\" + 0.069*\"januari\" + 0.069*\"judici\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:18:08,730 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.047*\"vigour\" + 0.043*\"popolo\" + 0.036*\"cotton\" + 0.036*\"tortur\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.020*\"adulthood\" + 0.019*\"citi\" + 0.018*\"cede\"\n", + "2019-01-31 01:18:08,731 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.045*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.020*\"korea\" + 0.020*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.015*\"kim\" + 0.014*\"leah\"\n", + "2019-01-31 01:18:08,732 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:18:08,733 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.016*\"new\" + 0.015*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:18:08,739 : INFO : topic diff=0.003770, rho=0.023570\n", + "2019-01-31 01:18:08,899 : INFO : PROGRESS: pass 0, at document #3602000/4922894\n", + "2019-01-31 01:18:10,286 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:10,552 : INFO : topic #46 (0.020): 0.022*\"norwai\" + 0.019*\"stop\" + 0.016*\"sweden\" + 0.015*\"wind\" + 0.014*\"swedish\" + 0.013*\"norwegian\" + 0.013*\"huntsvil\" + 0.013*\"damag\" + 0.013*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 01:18:10,554 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:18:10,555 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"octob\" + 0.077*\"march\" + 0.071*\"juli\" + 0.070*\"august\" + 0.070*\"notion\" + 0.069*\"judici\" + 0.069*\"januari\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:18:10,556 : INFO : topic #45 (0.020): 0.033*\"arsen\" + 0.027*\"jpg\" + 0.025*\"museo\" + 0.025*\"fifteenth\" + 0.019*\"pain\" + 0.018*\"illicit\" + 0.014*\"colder\" + 0.014*\"gai\" + 0.013*\"exhaust\" + 0.012*\"black\"\n", + "2019-01-31 01:18:10,557 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:18:10,563 : INFO : topic diff=0.003455, rho=0.023564\n", + "2019-01-31 01:18:10,715 : INFO : PROGRESS: pass 0, at document #3604000/4922894\n", + "2019-01-31 01:18:12,053 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:12,319 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:18:12,320 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.024*\"kong\" + 0.023*\"hong\" + 0.020*\"korea\" + 0.020*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.014*\"kim\" + 0.014*\"leah\"\n", + "2019-01-31 01:18:12,321 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:18:12,323 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.026*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"bypass\" + 0.014*\"republ\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:18:12,324 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.019*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:18:12,329 : INFO : topic diff=0.003178, rho=0.023557\n", + "2019-01-31 01:18:12,487 : INFO : PROGRESS: pass 0, at document #3606000/4922894\n", + "2019-01-31 01:18:13,879 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:14,146 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.006*\"ancestor\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:18:14,147 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"palmer\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"lobe\"\n", + "2019-01-31 01:18:14,148 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:18:14,149 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:18:14,150 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:18:14,156 : INFO : topic diff=0.003445, rho=0.023551\n", + "2019-01-31 01:18:14,310 : INFO : PROGRESS: pass 0, at document #3608000/4922894\n", + "2019-01-31 01:18:15,673 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:15,939 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:18:15,941 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.009*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:18:15,942 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:18:15,943 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:18:15,944 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:18:15,950 : INFO : topic diff=0.004031, rho=0.023544\n", + "2019-01-31 01:18:16,104 : INFO : PROGRESS: pass 0, at document #3610000/4922894\n", + "2019-01-31 01:18:17,465 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:17,732 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.007*\"summerhil\"\n", + "2019-01-31 01:18:17,733 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.033*\"publicis\" + 0.029*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:18:17,734 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.010*\"itali\"\n", + "2019-01-31 01:18:17,735 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"islam\" + 0.011*\"muskoge\" + 0.011*\"affection\" + 0.010*\"sri\" + 0.010*\"anglo\" + 0.010*\"alam\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:18:17,736 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"taxpay\" + 0.020*\"candid\" + 0.017*\"ret\" + 0.014*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.010*\"horac\"\n", + "2019-01-31 01:18:17,742 : INFO : topic diff=0.003085, rho=0.023538\n", + "2019-01-31 01:18:17,897 : INFO : PROGRESS: pass 0, at document #3612000/4922894\n", + "2019-01-31 01:18:19,261 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:19,528 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:18:19,529 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"palmer\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\"\n", + "2019-01-31 01:18:19,530 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:18:19,531 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:18:19,532 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.019*\"alic\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:18:19,538 : INFO : topic diff=0.003891, rho=0.023531\n", + "2019-01-31 01:18:19,759 : INFO : PROGRESS: pass 0, at document #3614000/4922894\n", + "2019-01-31 01:18:21,167 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:21,434 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.009*\"local\"\n", + "2019-01-31 01:18:21,435 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"championship\" + 0.008*\"uruguayan\"\n", + "2019-01-31 01:18:21,436 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"jack\"\n", + "2019-01-31 01:18:21,437 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.018*\"rainfal\" + 0.018*\"alic\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:18:21,438 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.045*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.015*\"kim\" + 0.013*\"leah\"\n", + "2019-01-31 01:18:21,444 : INFO : topic diff=0.003763, rho=0.023525\n", + "2019-01-31 01:18:21,604 : INFO : PROGRESS: pass 0, at document #3616000/4922894\n", + "2019-01-31 01:18:23,001 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:23,267 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.024*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.015*\"kim\" + 0.013*\"leah\"\n", + "2019-01-31 01:18:23,268 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.019*\"alic\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:18:23,269 : INFO : topic #16 (0.020): 0.060*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.020*\"quarterli\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.016*\"grammat\" + 0.013*\"count\" + 0.013*\"kingdom\" + 0.013*\"brazil\"\n", + "2019-01-31 01:18:23,270 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.043*\"line\" + 0.032*\"raid\" + 0.026*\"rosenwald\" + 0.023*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.018*\"airmen\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:18:23,271 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"jack\"\n", + "2019-01-31 01:18:23,277 : INFO : topic diff=0.003321, rho=0.023518\n", + "2019-01-31 01:18:23,432 : INFO : PROGRESS: pass 0, at document #3618000/4922894\n", + "2019-01-31 01:18:24,794 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:25,061 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:18:25,062 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"josé\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:18:25,063 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:18:25,064 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.017*\"vol\" + 0.014*\"der\" + 0.013*\"israel\" + 0.013*\"jewish\" + 0.013*\"berlin\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:18:25,065 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:18:25,071 : INFO : topic diff=0.003761, rho=0.023512\n", + "2019-01-31 01:18:27,659 : INFO : -11.642 per-word bound, 3196.0 perplexity estimate based on a held-out corpus of 2000 documents with 499041 words\n", + "2019-01-31 01:18:27,659 : INFO : PROGRESS: pass 0, at document #3620000/4922894\n", + "2019-01-31 01:18:29,011 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:29,277 : INFO : topic #2 (0.020): 0.047*\"isl\" + 0.040*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"blur\" + 0.011*\"pope\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 01:18:29,279 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.009*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:18:29,280 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.029*\"hous\" + 0.019*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"pistol\"\n", + "2019-01-31 01:18:29,281 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:18:29,282 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:18:29,288 : INFO : topic diff=0.004018, rho=0.023505\n", + "2019-01-31 01:18:29,448 : INFO : PROGRESS: pass 0, at document #3622000/4922894\n", + "2019-01-31 01:18:30,847 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:31,114 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.011*\"affection\" + 0.010*\"sri\" + 0.010*\"televis\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:18:31,115 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.010*\"carlo\" + 0.010*\"itali\"\n", + "2019-01-31 01:18:31,116 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.024*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.016*\"shirin\" + 0.014*\"kim\" + 0.013*\"leah\"\n", + "2019-01-31 01:18:31,117 : INFO : topic #46 (0.020): 0.021*\"norwai\" + 0.018*\"stop\" + 0.017*\"sweden\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"denmark\" + 0.012*\"huntsvil\" + 0.012*\"damag\" + 0.011*\"treeless\"\n", + "2019-01-31 01:18:31,118 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.010*\"gothic\" + 0.009*\"district\"\n", + "2019-01-31 01:18:31,124 : INFO : topic diff=0.003610, rho=0.023499\n", + "2019-01-31 01:18:31,284 : INFO : PROGRESS: pass 0, at document #3624000/4922894\n", + "2019-01-31 01:18:32,676 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:32,943 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.024*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:18:32,944 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.017*\"vol\" + 0.014*\"der\" + 0.013*\"berlin\" + 0.013*\"jewish\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:18:32,945 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:18:32,946 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"taxpay\" + 0.020*\"candid\" + 0.016*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.010*\"horac\"\n", + "2019-01-31 01:18:32,947 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:18:32,953 : INFO : topic diff=0.004570, rho=0.023492\n", + "2019-01-31 01:18:33,112 : INFO : PROGRESS: pass 0, at document #3626000/4922894\n", + "2019-01-31 01:18:34,497 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:34,762 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.026*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:18:34,764 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"pour\" + 0.015*\"depress\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"candid\"\n", + "2019-01-31 01:18:34,765 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.020*\"ontario\" + 0.016*\"hydrogen\" + 0.016*\"new\" + 0.015*\"misericordia\" + 0.013*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:18:34,766 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:18:34,767 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:18:34,773 : INFO : topic diff=0.004066, rho=0.023486\n", + "2019-01-31 01:18:34,925 : INFO : PROGRESS: pass 0, at document #3628000/4922894\n", + "2019-01-31 01:18:36,264 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:36,530 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:18:36,531 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.036*\"cotton\" + 0.036*\"tortur\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:18:36,532 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"dai\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.009*\"local\"\n", + "2019-01-31 01:18:36,533 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.046*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:18:36,534 : INFO : topic #44 (0.020): 0.032*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 01:18:36,540 : INFO : topic diff=0.003929, rho=0.023479\n", + "2019-01-31 01:18:36,700 : INFO : PROGRESS: pass 0, at document #3630000/4922894\n", + "2019-01-31 01:18:38,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:38,354 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.011*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:18:38,355 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:18:38,356 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.010*\"itali\"\n", + "2019-01-31 01:18:38,358 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:18:38,359 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:18:38,364 : INFO : topic diff=0.003398, rho=0.023473\n", + "2019-01-31 01:18:38,518 : INFO : PROGRESS: pass 0, at document #3632000/4922894\n", + "2019-01-31 01:18:39,874 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:40,140 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.047*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"piec\" + 0.012*\"loui\" + 0.008*\"wine\"\n", + "2019-01-31 01:18:40,141 : INFO : topic #16 (0.020): 0.060*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.020*\"quarterli\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.016*\"grammat\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.013*\"portugues\"\n", + "2019-01-31 01:18:40,142 : INFO : topic #48 (0.020): 0.086*\"sens\" + 0.081*\"octob\" + 0.079*\"march\" + 0.069*\"juli\" + 0.069*\"august\" + 0.068*\"januari\" + 0.067*\"notion\" + 0.067*\"judici\" + 0.065*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:18:40,143 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"order\" + 0.009*\"polaris\" + 0.008*\"legal\"\n", + "2019-01-31 01:18:40,144 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.018*\"women\" + 0.013*\"prison\"\n", + "2019-01-31 01:18:40,150 : INFO : topic diff=0.003796, rho=0.023466\n", + "2019-01-31 01:18:40,304 : INFO : PROGRESS: pass 0, at document #3634000/4922894\n", + "2019-01-31 01:18:41,676 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:41,942 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.012*\"crayfish\" + 0.010*\"north\" + 0.010*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:18:41,943 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.009*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:18:41,944 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.019*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:18:41,945 : INFO : topic #21 (0.020): 0.032*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.010*\"itali\"\n", + "2019-01-31 01:18:41,946 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"order\" + 0.009*\"polaris\" + 0.008*\"legal\"\n", + "2019-01-31 01:18:41,952 : INFO : topic diff=0.003579, rho=0.023460\n", + "2019-01-31 01:18:42,102 : INFO : PROGRESS: pass 0, at document #3636000/4922894\n", + "2019-01-31 01:18:43,429 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:43,696 : INFO : topic #17 (0.020): 0.075*\"church\" + 0.024*\"christian\" + 0.023*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:18:43,697 : INFO : topic #46 (0.020): 0.021*\"norwai\" + 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.013*\"denmark\" + 0.012*\"huntsvil\" + 0.012*\"damag\" + 0.011*\"treeless\"\n", + "2019-01-31 01:18:43,698 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:18:43,699 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"shirin\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"leah\"\n", + "2019-01-31 01:18:43,700 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"england\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:18:43,706 : INFO : topic diff=0.003809, rho=0.023453\n", + "2019-01-31 01:18:43,861 : INFO : PROGRESS: pass 0, at document #3638000/4922894\n", + "2019-01-31 01:18:45,223 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:45,490 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.014*\"open\" + 0.012*\"center\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"local\"\n", + "2019-01-31 01:18:45,491 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"england\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:18:45,492 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:18:45,493 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"candid\"\n", + "2019-01-31 01:18:45,494 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.024*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"shirin\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"leah\"\n", + "2019-01-31 01:18:45,500 : INFO : topic diff=0.003342, rho=0.023447\n", + "2019-01-31 01:18:48,089 : INFO : -12.147 per-word bound, 4534.6 perplexity estimate based on a held-out corpus of 2000 documents with 528573 words\n", + "2019-01-31 01:18:48,090 : INFO : PROGRESS: pass 0, at document #3640000/4922894\n", + "2019-01-31 01:18:49,435 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:49,701 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 01:18:49,702 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"england\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:18:49,703 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.046*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"english\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:18:49,704 : INFO : topic #45 (0.020): 0.033*\"arsen\" + 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.025*\"museo\" + 0.019*\"pain\" + 0.018*\"illicit\" + 0.014*\"colder\" + 0.014*\"gai\" + 0.013*\"exhaust\" + 0.011*\"black\"\n", + "2019-01-31 01:18:49,705 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:18:49,711 : INFO : topic diff=0.004051, rho=0.023440\n", + "2019-01-31 01:18:49,872 : INFO : PROGRESS: pass 0, at document #3642000/4922894\n", + "2019-01-31 01:18:51,266 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:51,532 : INFO : topic #46 (0.020): 0.020*\"norwai\" + 0.018*\"stop\" + 0.017*\"sweden\" + 0.015*\"swedish\" + 0.015*\"damag\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.013*\"huntsvil\" + 0.012*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:18:51,533 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.010*\"horac\"\n", + "2019-01-31 01:18:51,535 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"till\" + 0.006*\"militari\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:18:51,536 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.024*\"kong\" + 0.023*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"shirin\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"leah\"\n", + "2019-01-31 01:18:51,537 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:18:51,542 : INFO : topic diff=0.003584, rho=0.023434\n", + "2019-01-31 01:18:51,700 : INFO : PROGRESS: pass 0, at document #3644000/4922894\n", + "2019-01-31 01:18:53,084 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:53,350 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:18:53,351 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.044*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.020*\"ontario\" + 0.017*\"hydrogen\" + 0.016*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 01:18:53,352 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.012*\"crayfish\" + 0.010*\"north\" + 0.010*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:18:53,353 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.019*\"event\" + 0.019*\"taxpay\" + 0.018*\"rainfal\" + 0.018*\"alic\"\n", + "2019-01-31 01:18:53,354 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.037*\"rural\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:18:53,360 : INFO : topic diff=0.003571, rho=0.023427\n", + "2019-01-31 01:18:53,586 : INFO : PROGRESS: pass 0, at document #3646000/4922894\n", + "2019-01-31 01:18:54,995 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:55,261 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.035*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:18:55,263 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:18:55,264 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.042*\"line\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.024*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.018*\"airmen\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:18:55,265 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:18:55,266 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:18:55,272 : INFO : topic diff=0.004159, rho=0.023421\n", + "2019-01-31 01:18:55,426 : INFO : PROGRESS: pass 0, at document #3648000/4922894\n", + "2019-01-31 01:18:56,772 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:57,038 : INFO : topic #33 (0.020): 0.064*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"piec\" + 0.011*\"loui\" + 0.008*\"wine\"\n", + "2019-01-31 01:18:57,039 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.014*\"open\" + 0.012*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:18:57,040 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.029*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"martin\" + 0.014*\"open\"\n", + "2019-01-31 01:18:57,042 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"word\"\n", + "2019-01-31 01:18:57,043 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.016*\"grammat\" + 0.013*\"kingdom\" + 0.013*\"brazil\" + 0.013*\"portugues\"\n", + "2019-01-31 01:18:57,048 : INFO : topic diff=0.003302, rho=0.023415\n", + "2019-01-31 01:18:57,200 : INFO : PROGRESS: pass 0, at document #3650000/4922894\n", + "2019-01-31 01:18:58,542 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:18:58,809 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:18:58,810 : INFO : topic #46 (0.020): 0.020*\"norwai\" + 0.018*\"stop\" + 0.017*\"sweden\" + 0.015*\"damag\" + 0.015*\"swedish\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.013*\"huntsvil\" + 0.012*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:18:58,811 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 01:18:58,812 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:18:58,813 : INFO : topic #33 (0.020): 0.063*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"piec\" + 0.011*\"loui\" + 0.008*\"wine\"\n", + "2019-01-31 01:18:58,819 : INFO : topic diff=0.003907, rho=0.023408\n", + "2019-01-31 01:18:58,971 : INFO : PROGRESS: pass 0, at document #3652000/4922894\n", + "2019-01-31 01:19:00,332 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:00,599 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.011*\"sri\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:19:00,600 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:19:00,601 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:19:00,602 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:19:00,603 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:19:00,609 : INFO : topic diff=0.003376, rho=0.023402\n", + "2019-01-31 01:19:00,763 : INFO : PROGRESS: pass 0, at document #3654000/4922894\n", + "2019-01-31 01:19:02,132 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:02,399 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:19:02,400 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"england\" + 0.025*\"london\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:19:02,401 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.046*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.018*\"english\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:19:02,402 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:19:02,403 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:19:02,409 : INFO : topic diff=0.003231, rho=0.023395\n", + "2019-01-31 01:19:02,567 : INFO : PROGRESS: pass 0, at document #3656000/4922894\n", + "2019-01-31 01:19:03,944 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:04,211 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:19:04,212 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 01:19:04,213 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:19:04,214 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.017*\"vol\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.010*\"european\" + 0.009*\"europ\" + 0.008*\"austria\"\n", + "2019-01-31 01:19:04,215 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.016*\"seaport\" + 0.014*\"bypass\" + 0.014*\"republ\" + 0.013*\"report\"\n", + "2019-01-31 01:19:04,221 : INFO : topic diff=0.003621, rho=0.023389\n", + "2019-01-31 01:19:04,380 : INFO : PROGRESS: pass 0, at document #3658000/4922894\n", + "2019-01-31 01:19:05,763 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:06,029 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.070*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.018*\"women\" + 0.013*\"prison\"\n", + "2019-01-31 01:19:06,031 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.046*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.035*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:19:06,032 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.012*\"crayfish\" + 0.010*\"north\" + 0.010*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:19:06,033 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.036*\"rural\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:19:06,034 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.009*\"replac\" + 0.009*\"polaris\" + 0.009*\"order\" + 0.008*\"legal\"\n", + "2019-01-31 01:19:06,039 : INFO : topic diff=0.003983, rho=0.023383\n", + "2019-01-31 01:19:08,709 : INFO : -11.769 per-word bound, 3489.8 perplexity estimate based on a held-out corpus of 2000 documents with 550710 words\n", + "2019-01-31 01:19:08,709 : INFO : PROGRESS: pass 0, at document #3660000/4922894\n", + "2019-01-31 01:19:10,078 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:10,345 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"muskoge\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.011*\"sri\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:19:10,346 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:19:10,347 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"woman\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:19:10,348 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:19:10,349 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.012*\"juan\" + 0.011*\"carlo\" + 0.010*\"mexican\"\n", + "2019-01-31 01:19:10,355 : INFO : topic diff=0.003735, rho=0.023376\n", + "2019-01-31 01:19:10,509 : INFO : PROGRESS: pass 0, at document #3662000/4922894\n", + "2019-01-31 01:19:11,877 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:12,143 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.024*\"london\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:19:12,144 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"order\" + 0.008*\"legal\"\n", + "2019-01-31 01:19:12,145 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:19:12,146 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"championship\"\n", + "2019-01-31 01:19:12,147 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"taxpay\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:19:12,153 : INFO : topic diff=0.003019, rho=0.023370\n", + "2019-01-31 01:19:12,310 : INFO : PROGRESS: pass 0, at document #3664000/4922894\n", + "2019-01-31 01:19:13,675 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:13,941 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:19:13,942 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"rural\" + 0.036*\"sovereignti\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:19:13,943 : INFO : topic #31 (0.020): 0.055*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:19:13,944 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.041*\"line\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.018*\"airmen\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:19:13,945 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.016*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"brazil\" + 0.013*\"count\"\n", + "2019-01-31 01:19:13,951 : INFO : topic diff=0.004015, rho=0.023363\n", + "2019-01-31 01:19:14,102 : INFO : PROGRESS: pass 0, at document #3666000/4922894\n", + "2019-01-31 01:19:15,425 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:15,692 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.032*\"priest\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.016*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"brazil\" + 0.013*\"count\"\n", + "2019-01-31 01:19:15,693 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:19:15,694 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.038*\"tortur\" + 0.035*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"citi\" + 0.019*\"cede\"\n", + "2019-01-31 01:19:15,695 : INFO : topic #0 (0.020): 0.068*\"statewid\" + 0.041*\"line\" + 0.031*\"raid\" + 0.025*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.018*\"airmen\" + 0.013*\"oper\" + 0.010*\"transient\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:19:15,696 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.011*\"dai\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.009*\"local\"\n", + "2019-01-31 01:19:15,703 : INFO : topic diff=0.004083, rho=0.023357\n", + "2019-01-31 01:19:15,859 : INFO : PROGRESS: pass 0, at document #3668000/4922894\n", + "2019-01-31 01:19:17,232 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:17,498 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:19:17,500 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 01:19:17,501 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:19:17,502 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.018*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:19:17,503 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.011*\"pope\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.008*\"bahá\"\n", + "2019-01-31 01:19:17,509 : INFO : topic diff=0.003578, rho=0.023351\n", + "2019-01-31 01:19:17,663 : INFO : PROGRESS: pass 0, at document #3670000/4922894\n", + "2019-01-31 01:19:19,015 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:19,282 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:19:19,283 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 01:19:19,284 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 01:19:19,285 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:19:19,286 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.013*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:19:19,292 : INFO : topic diff=0.002792, rho=0.023344\n", + "2019-01-31 01:19:19,449 : INFO : PROGRESS: pass 0, at document #3672000/4922894\n", + "2019-01-31 01:19:20,835 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:21,102 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.030*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:19:21,103 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.042*\"line\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:19:21,104 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.049*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"english\" + 0.017*\"player\" + 0.016*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:19:21,105 : INFO : topic #19 (0.020): 0.015*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"ancestor\" + 0.007*\"known\"\n", + "2019-01-31 01:19:21,107 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:19:21,113 : INFO : topic diff=0.003094, rho=0.023338\n", + "2019-01-31 01:19:21,268 : INFO : PROGRESS: pass 0, at document #3674000/4922894\n", + "2019-01-31 01:19:22,631 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:22,898 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"http\" + 0.011*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:19:22,899 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.013*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:19:22,900 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.007*\"male\" + 0.006*\"feel\"\n", + "2019-01-31 01:19:22,900 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.047*\"canadian\" + 0.025*\"hoar\" + 0.024*\"toronto\" + 0.021*\"ontario\" + 0.017*\"hydrogen\" + 0.016*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:19:22,901 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.035*\"cotton\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:19:22,907 : INFO : topic diff=0.003519, rho=0.023332\n", + "2019-01-31 01:19:23,062 : INFO : PROGRESS: pass 0, at document #3676000/4922894\n", + "2019-01-31 01:19:24,422 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:24,689 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.009*\"veget\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"encyclopedia\"\n", + "2019-01-31 01:19:24,690 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.013*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:19:24,691 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.009*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.007*\"male\" + 0.006*\"feel\"\n", + "2019-01-31 01:19:24,692 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.012*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:19:24,693 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"collect\" + 0.011*\"storag\"\n", + "2019-01-31 01:19:24,699 : INFO : topic diff=0.003386, rho=0.023325\n", + "2019-01-31 01:19:24,856 : INFO : PROGRESS: pass 0, at document #3678000/4922894\n", + "2019-01-31 01:19:26,241 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:26,508 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:19:26,509 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.019*\"event\" + 0.019*\"alic\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:19:26,509 : INFO : topic #46 (0.020): 0.019*\"norwai\" + 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.015*\"damag\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.013*\"huntsvil\" + 0.012*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 01:19:26,511 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:19:26,512 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.011*\"crayfish\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:19:26,518 : INFO : topic diff=0.003378, rho=0.023319\n", + "2019-01-31 01:19:29,277 : INFO : -11.762 per-word bound, 3473.4 perplexity estimate based on a held-out corpus of 2000 documents with 577792 words\n", + "2019-01-31 01:19:29,277 : INFO : PROGRESS: pass 0, at document #3680000/4922894\n", + "2019-01-31 01:19:30,648 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:30,915 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.008*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:19:30,916 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.011*\"http\" + 0.011*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:19:30,917 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.011*\"crayfish\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:19:30,918 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:19:30,919 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.024*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 01:19:30,925 : INFO : topic diff=0.003556, rho=0.023313\n", + "2019-01-31 01:19:31,082 : INFO : PROGRESS: pass 0, at document #3682000/4922894\n", + "2019-01-31 01:19:32,434 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:32,700 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.013*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:19:32,701 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.049*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"english\" + 0.017*\"player\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:19:32,703 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:19:32,704 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.032*\"raid\" + 0.026*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:19:32,705 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"till\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:19:32,711 : INFO : topic diff=0.003685, rho=0.023306\n", + "2019-01-31 01:19:32,863 : INFO : PROGRESS: pass 0, at document #3684000/4922894\n", + "2019-01-31 01:19:34,216 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:34,484 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.019*\"mexico\" + 0.019*\"del\" + 0.017*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"mexican\" + 0.011*\"carlo\"\n", + "2019-01-31 01:19:34,485 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.032*\"germani\" + 0.017*\"vol\" + 0.014*\"der\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.010*\"european\" + 0.009*\"europ\" + 0.008*\"hungarian\"\n", + "2019-01-31 01:19:34,486 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.025*\"hoar\" + 0.024*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.016*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:19:34,486 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.016*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"maria\" + 0.012*\"count\"\n", + "2019-01-31 01:19:34,488 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.007*\"uruguayan\" + 0.007*\"championship\"\n", + "2019-01-31 01:19:34,493 : INFO : topic diff=0.003395, rho=0.023300\n", + "2019-01-31 01:19:34,650 : INFO : PROGRESS: pass 0, at document #3686000/4922894\n", + "2019-01-31 01:19:36,020 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:36,287 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:19:36,288 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:19:36,289 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.031*\"incumb\" + 0.012*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"muskoge\" + 0.011*\"televis\" + 0.011*\"sri\" + 0.010*\"affection\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:19:36,290 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"crayfish\" + 0.010*\"north\" + 0.010*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:19:36,291 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:19:36,297 : INFO : topic diff=0.003139, rho=0.023294\n", + "2019-01-31 01:19:36,454 : INFO : PROGRESS: pass 0, at document #3688000/4922894\n", + "2019-01-31 01:19:37,846 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:38,112 : INFO : topic #45 (0.020): 0.036*\"arsen\" + 0.028*\"jpg\" + 0.026*\"fifteenth\" + 0.026*\"museo\" + 0.019*\"pain\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.013*\"gai\" + 0.011*\"artist\"\n", + "2019-01-31 01:19:38,113 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.018*\"mexico\" + 0.018*\"del\" + 0.017*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.011*\"mexican\"\n", + "2019-01-31 01:19:38,115 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.032*\"germani\" + 0.017*\"vol\" + 0.014*\"der\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"hungarian\" + 0.009*\"europ\"\n", + "2019-01-31 01:19:38,116 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"user\" + 0.007*\"championship\"\n", + "2019-01-31 01:19:38,117 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:19:38,123 : INFO : topic diff=0.002987, rho=0.023287\n", + "2019-01-31 01:19:38,274 : INFO : PROGRESS: pass 0, at document #3690000/4922894\n", + "2019-01-31 01:19:39,604 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:39,870 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"start\"\n", + "2019-01-31 01:19:39,871 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:19:39,872 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.019*\"event\" + 0.019*\"atheist\" + 0.018*\"alic\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:19:39,873 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"crayfish\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:19:39,874 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.025*\"hong\" + 0.025*\"kong\" + 0.020*\"korea\" + 0.019*\"korean\" + 0.015*\"sourc\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.013*\"kim\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:19:39,880 : INFO : topic diff=0.003826, rho=0.023281\n", + "2019-01-31 01:19:40,038 : INFO : PROGRESS: pass 0, at document #3692000/4922894\n", + "2019-01-31 01:19:41,429 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:41,696 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"crayfish\" + 0.010*\"north\" + 0.010*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:19:41,697 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:19:41,698 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:19:41,699 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:19:41,700 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"vigour\" + 0.044*\"popolo\" + 0.037*\"tortur\" + 0.034*\"cotton\" + 0.023*\"area\" + 0.021*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:19:41,706 : INFO : topic diff=0.003551, rho=0.023275\n", + "2019-01-31 01:19:41,863 : INFO : PROGRESS: pass 0, at document #3694000/4922894\n", + "2019-01-31 01:19:43,230 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:43,496 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.041*\"line\" + 0.032*\"raid\" + 0.026*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.018*\"airmen\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:19:43,497 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:19:43,498 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"function\"\n", + "2019-01-31 01:19:43,499 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"muskoge\" + 0.011*\"sri\" + 0.011*\"televis\" + 0.010*\"affection\" + 0.009*\"alam\"\n", + "2019-01-31 01:19:43,500 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:19:43,506 : INFO : topic diff=0.003725, rho=0.023268\n", + "2019-01-31 01:19:43,662 : INFO : PROGRESS: pass 0, at document #3696000/4922894\n", + "2019-01-31 01:19:45,019 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:45,285 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:19:45,286 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.019*\"tourist\" + 0.019*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:19:45,287 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"pop\" + 0.010*\"prognosi\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:19:45,288 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:19:45,290 : INFO : topic #31 (0.020): 0.054*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:19:45,295 : INFO : topic diff=0.004642, rho=0.023262\n", + "2019-01-31 01:19:45,453 : INFO : PROGRESS: pass 0, at document #3698000/4922894\n", + "2019-01-31 01:19:46,831 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:47,098 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.047*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"english\" + 0.017*\"polit\" + 0.017*\"player\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:19:47,099 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:19:47,100 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"anim\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:19:47,101 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.021*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:19:47,102 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.023*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"malaysia\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:19:47,108 : INFO : topic diff=0.003341, rho=0.023256\n", + "2019-01-31 01:19:49,751 : INFO : -11.540 per-word bound, 2978.6 perplexity estimate based on a held-out corpus of 2000 documents with 542678 words\n", + "2019-01-31 01:19:49,751 : INFO : PROGRESS: pass 0, at document #3700000/4922894\n", + "2019-01-31 01:19:51,114 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:51,381 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:19:51,382 : INFO : topic #45 (0.020): 0.036*\"arsen\" + 0.028*\"jpg\" + 0.026*\"museo\" + 0.026*\"fifteenth\" + 0.022*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.013*\"gai\" + 0.011*\"artist\"\n", + "2019-01-31 01:19:51,383 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"treat\" + 0.006*\"acid\"\n", + "2019-01-31 01:19:51,384 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.013*\"women\"\n", + "2019-01-31 01:19:51,385 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"quarterli\" + 0.019*\"idiosyncrat\" + 0.016*\"grammat\" + 0.013*\"kingdom\" + 0.012*\"maria\" + 0.012*\"brazil\"\n", + "2019-01-31 01:19:51,392 : INFO : topic diff=0.002826, rho=0.023250\n", + "2019-01-31 01:19:51,551 : INFO : PROGRESS: pass 0, at document #3702000/4922894\n", + "2019-01-31 01:19:52,927 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:53,193 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:19:53,194 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.031*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.018*\"nation\"\n", + "2019-01-31 01:19:53,195 : INFO : topic #45 (0.020): 0.036*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.026*\"museo\" + 0.022*\"pain\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.013*\"gai\" + 0.011*\"depress\"\n", + "2019-01-31 01:19:53,196 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:19:53,197 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.008*\"order\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:19:53,204 : INFO : topic diff=0.003294, rho=0.023243\n", + "2019-01-31 01:19:53,364 : INFO : PROGRESS: pass 0, at document #3704000/4922894\n", + "2019-01-31 01:19:54,764 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:55,031 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:19:55,032 : INFO : topic #19 (0.020): 0.015*\"centuri\" + 0.015*\"languag\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"ancestor\" + 0.007*\"known\"\n", + "2019-01-31 01:19:55,033 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.016*\"grammat\" + 0.015*\"kingdom\" + 0.012*\"count\" + 0.012*\"brazil\"\n", + "2019-01-31 01:19:55,034 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"differ\"\n", + "2019-01-31 01:19:55,035 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.011*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:19:55,041 : INFO : topic diff=0.003567, rho=0.023237\n", + "2019-01-31 01:19:55,198 : INFO : PROGRESS: pass 0, at document #3706000/4922894\n", + "2019-01-31 01:19:56,779 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:57,046 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:19:57,047 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"serv\"\n", + "2019-01-31 01:19:57,048 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.016*\"grammat\" + 0.015*\"kingdom\" + 0.013*\"count\" + 0.012*\"brazil\"\n", + "2019-01-31 01:19:57,049 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.022*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"cathedr\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"poll\"\n", + "2019-01-31 01:19:57,050 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:19:57,056 : INFO : topic diff=0.003578, rho=0.023231\n", + "2019-01-31 01:19:57,211 : INFO : PROGRESS: pass 0, at document #3708000/4922894\n", + "2019-01-31 01:19:58,560 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:19:58,827 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"championship\"\n", + "2019-01-31 01:19:58,828 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.010*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"manag\" + 0.008*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:19:58,829 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"govern\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:19:58,830 : INFO : topic #45 (0.020): 0.036*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.026*\"museo\" + 0.022*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.013*\"gai\" + 0.011*\"artist\"\n", + "2019-01-31 01:19:58,831 : INFO : topic #48 (0.020): 0.084*\"sens\" + 0.080*\"octob\" + 0.077*\"march\" + 0.072*\"juli\" + 0.070*\"august\" + 0.070*\"januari\" + 0.069*\"judici\" + 0.069*\"notion\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:19:58,837 : INFO : topic diff=0.003446, rho=0.023224\n", + "2019-01-31 01:19:59,055 : INFO : PROGRESS: pass 0, at document #3710000/4922894\n", + "2019-01-31 01:20:00,436 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:00,703 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"anim\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:20:00,704 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.024*\"poison\" + 0.024*\"reprint\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.014*\"unfortun\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:20:00,705 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.025*\"hong\" + 0.025*\"kong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.014*\"kim\"\n", + "2019-01-31 01:20:00,706 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.018*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:20:00,707 : INFO : topic #42 (0.020): 0.050*\"german\" + 0.032*\"germani\" + 0.017*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:20:00,713 : INFO : topic diff=0.003352, rho=0.023218\n", + "2019-01-31 01:20:00,876 : INFO : PROGRESS: pass 0, at document #3712000/4922894\n", + "2019-01-31 01:20:02,287 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:02,553 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:20:02,554 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:20:02,556 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:20:02,557 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.040*\"line\" + 0.031*\"raid\" + 0.027*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.018*\"airmen\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:20:02,558 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:20:02,563 : INFO : topic diff=0.003899, rho=0.023212\n", + "2019-01-31 01:20:02,720 : INFO : PROGRESS: pass 0, at document #3714000/4922894\n", + "2019-01-31 01:20:04,091 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:04,358 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"centuri\"\n", + "2019-01-31 01:20:04,359 : INFO : topic #46 (0.020): 0.017*\"norwai\" + 0.017*\"sweden\" + 0.017*\"stop\" + 0.016*\"swedish\" + 0.015*\"damag\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.011*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:20:04,360 : INFO : topic #45 (0.020): 0.036*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.026*\"museo\" + 0.021*\"pain\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.013*\"gai\" + 0.011*\"western\"\n", + "2019-01-31 01:20:04,361 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.024*\"poison\" + 0.024*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"malaysia\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:20:04,362 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.021*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:20:04,368 : INFO : topic diff=0.003435, rho=0.023206\n", + "2019-01-31 01:20:04,527 : INFO : PROGRESS: pass 0, at document #3716000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:20:05,911 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:06,178 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"till\"\n", + "2019-01-31 01:20:06,179 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.012*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"collect\" + 0.011*\"storag\"\n", + "2019-01-31 01:20:06,180 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:20:06,181 : INFO : topic #16 (0.020): 0.063*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.016*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"count\" + 0.012*\"maria\"\n", + "2019-01-31 01:20:06,182 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:20:06,188 : INFO : topic diff=0.003722, rho=0.023199\n", + "2019-01-31 01:20:06,345 : INFO : PROGRESS: pass 0, at document #3718000/4922894\n", + "2019-01-31 01:20:07,734 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:08,000 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:20:08,001 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"hormon\" + 0.009*\"media\" + 0.008*\"pathwai\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:20:08,002 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:20:08,003 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"fool\" + 0.012*\"find\" + 0.012*\"ret\" + 0.012*\"tornado\" + 0.010*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:20:08,004 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.024*\"poison\" + 0.023*\"reprint\" + 0.023*\"personifi\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.014*\"malaysia\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:20:08,010 : INFO : topic diff=0.003373, rho=0.023193\n", + "2019-01-31 01:20:10,740 : INFO : -11.623 per-word bound, 3155.0 perplexity estimate based on a held-out corpus of 2000 documents with 572427 words\n", + "2019-01-31 01:20:10,741 : INFO : PROGRESS: pass 0, at document #3720000/4922894\n", + "2019-01-31 01:20:12,128 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:12,395 : INFO : topic #16 (0.020): 0.063*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"quarterli\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.016*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"count\" + 0.012*\"brazil\"\n", + "2019-01-31 01:20:12,396 : INFO : topic #39 (0.020): 0.062*\"canada\" + 0.047*\"canadian\" + 0.025*\"hoar\" + 0.025*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:20:12,397 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:20:12,398 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"briarwood\" + 0.010*\"centuri\"\n", + "2019-01-31 01:20:12,399 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:20:12,405 : INFO : topic diff=0.004355, rho=0.023187\n", + "2019-01-31 01:20:12,565 : INFO : PROGRESS: pass 0, at document #3722000/4922894\n", + "2019-01-31 01:20:13,958 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:14,224 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"jame\" + 0.012*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:20:14,225 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\"\n", + "2019-01-31 01:20:14,226 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.019*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.008*\"sangha\"\n", + "2019-01-31 01:20:14,227 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"male\" + 0.007*\"incom\" + 0.007*\"feel\"\n", + "2019-01-31 01:20:14,228 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"stop\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.016*\"damag\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:20:14,234 : INFO : topic diff=0.003129, rho=0.023181\n", + "2019-01-31 01:20:14,390 : INFO : PROGRESS: pass 0, at document #3724000/4922894\n", + "2019-01-31 01:20:15,754 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:16,021 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.021*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.015*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"will\"\n", + "2019-01-31 01:20:16,022 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.023*\"nation\" + 0.022*\"minist\" + 0.022*\"govern\" + 0.022*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:20:16,023 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:20:16,024 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:20:16,025 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"crayfish\" + 0.009*\"sourc\" + 0.009*\"land\"\n", + "2019-01-31 01:20:16,031 : INFO : topic diff=0.003485, rho=0.023174\n", + "2019-01-31 01:20:16,182 : INFO : PROGRESS: pass 0, at document #3726000/4922894\n", + "2019-01-31 01:20:17,508 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:17,775 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:20:17,776 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:20:17,777 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"veget\" + 0.008*\"mode\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"turn\"\n", + "2019-01-31 01:20:17,778 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:20:17,779 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"anim\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:20:17,785 : INFO : topic diff=0.003791, rho=0.023168\n", + "2019-01-31 01:20:17,940 : INFO : PROGRESS: pass 0, at document #3728000/4922894\n", + "2019-01-31 01:20:19,331 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:20:19,597 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.025*\"australia\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:20:19,598 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"find\" + 0.012*\"fool\" + 0.011*\"tornado\" + 0.010*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:20:19,599 : INFO : topic #42 (0.020): 0.050*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.014*\"der\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:20:19,600 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"collect\" + 0.011*\"storag\"\n", + "2019-01-31 01:20:19,601 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:20:19,607 : INFO : topic diff=0.003686, rho=0.023162\n", + "2019-01-31 01:20:19,763 : INFO : PROGRESS: pass 0, at document #3730000/4922894\n", + "2019-01-31 01:20:21,141 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:21,408 : INFO : topic #48 (0.020): 0.085*\"sens\" + 0.080*\"octob\" + 0.077*\"march\" + 0.072*\"juli\" + 0.070*\"august\" + 0.070*\"judici\" + 0.069*\"notion\" + 0.069*\"januari\" + 0.067*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:20:21,409 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:20:21,410 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.025*\"crete\" + 0.024*\"scientist\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:20:21,411 : INFO : topic #42 (0.020): 0.050*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.014*\"der\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:20:21,412 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"norwai\" + 0.017*\"stop\" + 0.016*\"swedish\" + 0.016*\"damag\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.011*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:20:21,418 : INFO : topic diff=0.004074, rho=0.023156\n", + "2019-01-31 01:20:21,575 : INFO : PROGRESS: pass 0, at document #3732000/4922894\n", + "2019-01-31 01:20:22,968 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:23,234 : INFO : topic #0 (0.020): 0.067*\"statewid\" + 0.041*\"line\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"traceabl\" + 0.018*\"serv\" + 0.018*\"airmen\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:20:23,235 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:20:23,236 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"australia\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:20:23,237 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"bypass\" + 0.014*\"seaport\" + 0.013*\"liber\" + 0.013*\"republ\"\n", + "2019-01-31 01:20:23,238 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:20:23,244 : INFO : topic diff=0.004057, rho=0.023150\n", + "2019-01-31 01:20:23,402 : INFO : PROGRESS: pass 0, at document #3734000/4922894\n", + "2019-01-31 01:20:24,779 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:25,046 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.027*\"offic\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.022*\"minist\" + 0.022*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.015*\"chickasaw\"\n", + "2019-01-31 01:20:25,047 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:20:25,048 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:20:25,049 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.011*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:20:25,050 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.031*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.018*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:20:25,056 : INFO : topic diff=0.004014, rho=0.023143\n", + "2019-01-31 01:20:25,215 : INFO : PROGRESS: pass 0, at document #3736000/4922894\n", + "2019-01-31 01:20:26,616 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:26,882 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"find\" + 0.012*\"tornado\" + 0.012*\"ret\" + 0.012*\"fool\" + 0.010*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:20:26,883 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"bypass\" + 0.014*\"seaport\" + 0.013*\"liber\" + 0.013*\"republ\"\n", + "2019-01-31 01:20:26,884 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:20:26,885 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.033*\"rural\" + 0.024*\"poison\" + 0.023*\"personifi\" + 0.022*\"reprint\" + 0.021*\"moscow\" + 0.017*\"poland\" + 0.014*\"tyrant\" + 0.014*\"malaysia\"\n", + "2019-01-31 01:20:26,886 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"championship\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\"\n", + "2019-01-31 01:20:26,892 : INFO : topic diff=0.003277, rho=0.023137\n", + "2019-01-31 01:20:27,051 : INFO : PROGRESS: pass 0, at document #3738000/4922894\n", + "2019-01-31 01:20:28,436 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:28,702 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.036*\"tortur\" + 0.036*\"cotton\" + 0.023*\"area\" + 0.021*\"adulthood\" + 0.021*\"multitud\" + 0.019*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:20:28,703 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"london\" + 0.024*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 01:20:28,704 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.021*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"bypass\" + 0.014*\"seaport\" + 0.013*\"liber\" + 0.013*\"republ\"\n", + "2019-01-31 01:20:28,705 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.011*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:20:28,706 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.011*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"georg\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:20:28,712 : INFO : topic diff=0.003337, rho=0.023131\n", + "2019-01-31 01:20:31,430 : INFO : -11.380 per-word bound, 2664.7 perplexity estimate based on a held-out corpus of 2000 documents with 570046 words\n", + "2019-01-31 01:20:31,430 : INFO : PROGRESS: pass 0, at document #3740000/4922894\n", + "2019-01-31 01:20:32,807 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:20:33,073 : INFO : topic #45 (0.020): 0.036*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.024*\"museo\" + 0.021*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.013*\"gai\" + 0.012*\"western\"\n", + "2019-01-31 01:20:33,074 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.047*\"canadian\" + 0.025*\"hoar\" + 0.025*\"toronto\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 01:20:33,075 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:20:33,076 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.011*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:20:33,077 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:20:33,083 : INFO : topic diff=0.003416, rho=0.023125\n", + "2019-01-31 01:20:33,297 : INFO : PROGRESS: pass 0, at document #3742000/4922894\n", + "2019-01-31 01:20:34,680 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:34,946 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.048*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"sourc\" + 0.015*\"shirin\" + 0.014*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 01:20:34,947 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 01:20:34,948 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.047*\"canadian\" + 0.025*\"hoar\" + 0.025*\"toronto\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 01:20:34,949 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:20:34,950 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:20:34,956 : INFO : topic diff=0.002805, rho=0.023119\n", + "2019-01-31 01:20:35,109 : INFO : PROGRESS: pass 0, at document #3744000/4922894\n", + "2019-01-31 01:20:36,467 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:36,734 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:20:36,735 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"anim\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.006*\"storag\" + 0.006*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:20:36,736 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.017*\"stop\" + 0.017*\"norwai\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.013*\"norwegian\" + 0.013*\"wind\" + 0.011*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:20:36,737 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.008*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"acid\"\n", + "2019-01-31 01:20:36,738 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.027*\"offic\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.022*\"minist\" + 0.022*\"serv\" + 0.020*\"member\" + 0.016*\"gener\" + 0.016*\"start\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:20:36,743 : INFO : topic diff=0.003328, rho=0.023113\n", + "2019-01-31 01:20:36,901 : INFO : PROGRESS: pass 0, at document #3746000/4922894\n", + "2019-01-31 01:20:38,270 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:38,537 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.005*\"differ\"\n", + "2019-01-31 01:20:38,538 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:20:38,539 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:20:38,540 : INFO : topic #0 (0.020): 0.066*\"statewid\" + 0.042*\"line\" + 0.031*\"raid\" + 0.025*\"rosenwald\" + 0.024*\"rivièr\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.017*\"airmen\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:20:38,541 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:20:38,547 : INFO : topic diff=0.002950, rho=0.023106\n", + "2019-01-31 01:20:38,705 : INFO : PROGRESS: pass 0, at document #3748000/4922894\n", + "2019-01-31 01:20:40,069 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:40,336 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:20:40,337 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.047*\"american\" + 0.028*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:20:40,338 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"crayfish\" + 0.009*\"land\"\n", + "2019-01-31 01:20:40,339 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.031*\"priest\" + 0.021*\"duke\" + 0.018*\"quarterli\" + 0.018*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"count\" + 0.013*\"brazil\"\n", + "2019-01-31 01:20:40,340 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:20:40,346 : INFO : topic diff=0.003069, rho=0.023100\n", + "2019-01-31 01:20:40,502 : INFO : PROGRESS: pass 0, at document #3750000/4922894\n", + "2019-01-31 01:20:41,877 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:42,143 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.023*\"sail\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:20:42,144 : INFO : topic #2 (0.020): 0.051*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:20:42,145 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.070*\"best\" + 0.033*\"yawn\" + 0.031*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.018*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.012*\"winner\"\n", + "2019-01-31 01:20:42,146 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"ancestor\" + 0.007*\"known\"\n", + "2019-01-31 01:20:42,147 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"anim\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.006*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:20:42,153 : INFO : topic diff=0.003296, rho=0.023094\n", + "2019-01-31 01:20:42,307 : INFO : PROGRESS: pass 0, at document #3752000/4922894\n", + "2019-01-31 01:20:43,665 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:43,931 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.012*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:20:43,932 : INFO : topic #34 (0.020): 0.064*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.027*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:20:43,933 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"der\" + 0.013*\"berlin\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:20:43,934 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:20:43,935 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"anim\" + 0.011*\"septemb\" + 0.009*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"storag\" + 0.006*\"vision\"\n", + "2019-01-31 01:20:43,941 : INFO : topic diff=0.003514, rho=0.023088\n", + "2019-01-31 01:20:44,101 : INFO : PROGRESS: pass 0, at document #3754000/4922894\n", + "2019-01-31 01:20:45,500 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:45,767 : INFO : topic #5 (0.020): 0.037*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:20:45,768 : INFO : topic #40 (0.020): 0.083*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.020*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.011*\"word\" + 0.011*\"http\"\n", + "2019-01-31 01:20:45,770 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"cathedr\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 01:20:45,771 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:20:45,771 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:20:45,777 : INFO : topic diff=0.003947, rho=0.023082\n", + "2019-01-31 01:20:45,932 : INFO : PROGRESS: pass 0, at document #3756000/4922894\n", + "2019-01-31 01:20:47,290 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:47,557 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.078*\"octob\" + 0.076*\"march\" + 0.071*\"juli\" + 0.069*\"judici\" + 0.069*\"august\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.067*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:20:47,558 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.047*\"canadian\" + 0.025*\"hoar\" + 0.024*\"toronto\" + 0.021*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"novotná\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 01:20:47,559 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.009*\"cathedr\" + 0.009*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 01:20:47,560 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:20:47,561 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"chamber\" + 0.013*\"open\"\n", + "2019-01-31 01:20:47,567 : INFO : topic diff=0.003580, rho=0.023076\n", + "2019-01-31 01:20:47,725 : INFO : PROGRESS: pass 0, at document #3758000/4922894\n", + "2019-01-31 01:20:49,100 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:49,367 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"damn\" + 0.017*\"compos\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 01:20:49,368 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:20:49,369 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.009*\"elabor\" + 0.009*\"veget\" + 0.008*\"mode\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"develop\" + 0.006*\"turn\"\n", + "2019-01-31 01:20:49,370 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.021*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:20:49,371 : INFO : topic #45 (0.020): 0.036*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.018*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.014*\"gai\" + 0.012*\"artist\"\n", + "2019-01-31 01:20:49,377 : INFO : topic diff=0.003449, rho=0.023069\n", + "2019-01-31 01:20:52,024 : INFO : -11.705 per-word bound, 3339.3 perplexity estimate based on a held-out corpus of 2000 documents with 530422 words\n", + "2019-01-31 01:20:52,025 : INFO : PROGRESS: pass 0, at document #3760000/4922894\n", + "2019-01-31 01:20:53,378 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:53,644 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.037*\"tortur\" + 0.035*\"cotton\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.021*\"multitud\" + 0.019*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:20:53,645 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.028*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.013*\"muskoge\" + 0.012*\"anglo\" + 0.011*\"sri\" + 0.011*\"tajikistan\" + 0.010*\"televis\" + 0.010*\"affection\"\n", + "2019-01-31 01:20:53,646 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:20:53,647 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"feel\" + 0.006*\"florida\"\n", + "2019-01-31 01:20:53,648 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n", + "2019-01-31 01:20:53,654 : INFO : topic diff=0.004169, rho=0.023063\n", + "2019-01-31 01:20:53,814 : INFO : PROGRESS: pass 0, at document #3762000/4922894\n", + "2019-01-31 01:20:55,202 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:55,469 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.046*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.017*\"player\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:20:55,470 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:20:55,471 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"ancestor\" + 0.007*\"known\"\n", + "2019-01-31 01:20:55,472 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:20:55,473 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 01:20:55,478 : INFO : topic diff=0.003462, rho=0.023057\n", + "2019-01-31 01:20:55,631 : INFO : PROGRESS: pass 0, at document #3764000/4922894\n", + "2019-01-31 01:20:56,974 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:57,240 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.039*\"struggl\" + 0.034*\"high\" + 0.032*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"gothic\" + 0.010*\"district\" + 0.010*\"task\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:20:57,241 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:20:57,242 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.036*\"tortur\" + 0.036*\"cotton\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.021*\"multitud\" + 0.019*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:20:57,243 : INFO : topic #46 (0.020): 0.018*\"damag\" + 0.017*\"norwai\" + 0.016*\"stop\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.011*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:20:57,245 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.046*\"american\" + 0.028*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:20:57,250 : INFO : topic diff=0.003189, rho=0.023051\n", + "2019-01-31 01:20:57,405 : INFO : PROGRESS: pass 0, at document #3766000/4922894\n", + "2019-01-31 01:20:58,761 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:20:59,027 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:20:59,028 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"trap\" + 0.006*\"florida\"\n", + "2019-01-31 01:20:59,029 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"collect\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 01:20:59,030 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.005*\"method\"\n", + "2019-01-31 01:20:59,032 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.011*\"briarwood\" + 0.010*\"centuri\"\n", + "2019-01-31 01:20:59,037 : INFO : topic diff=0.003222, rho=0.023045\n", + "2019-01-31 01:20:59,192 : INFO : PROGRESS: pass 0, at document #3768000/4922894\n", + "2019-01-31 01:21:00,542 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:00,808 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:21:00,809 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:21:00,810 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.011*\"briarwood\" + 0.010*\"centuri\"\n", + "2019-01-31 01:21:00,811 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.015*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 01:21:00,812 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"trap\" + 0.006*\"florida\"\n", + "2019-01-31 01:21:00,818 : INFO : topic diff=0.004050, rho=0.023039\n", + "2019-01-31 01:21:00,981 : INFO : PROGRESS: pass 0, at document #3770000/4922894\n", + "2019-01-31 01:21:02,381 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:02,647 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 01:21:02,648 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.009*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:21:02,649 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:21:02,650 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"bypass\" + 0.015*\"republ\" + 0.014*\"seaport\" + 0.013*\"selma\"\n", + "2019-01-31 01:21:02,652 : INFO : topic #41 (0.020): 0.038*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:21:02,657 : INFO : topic diff=0.004060, rho=0.023033\n", + "2019-01-31 01:21:02,815 : INFO : PROGRESS: pass 0, at document #3772000/4922894\n", + "2019-01-31 01:21:04,189 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:04,457 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"ret\" + 0.012*\"find\" + 0.012*\"fool\" + 0.010*\"champion\" + 0.010*\"landslid\"\n", + "2019-01-31 01:21:04,458 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"trap\"\n", + "2019-01-31 01:21:04,459 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:21:04,460 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.011*\"european\" + 0.009*\"hungarian\" + 0.009*\"austria\"\n", + "2019-01-31 01:21:04,461 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.010*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:21:04,467 : INFO : topic diff=0.004034, rho=0.023027\n", + "2019-01-31 01:21:04,682 : INFO : PROGRESS: pass 0, at document #3774000/4922894\n", + "2019-01-31 01:21:06,081 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:06,347 : INFO : topic #46 (0.020): 0.017*\"damag\" + 0.017*\"stop\" + 0.016*\"norwai\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:21:06,348 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"briarwood\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\"\n", + "2019-01-31 01:21:06,349 : INFO : topic #45 (0.020): 0.037*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.026*\"museo\" + 0.021*\"pain\" + 0.019*\"illicit\" + 0.014*\"colder\" + 0.014*\"gai\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 01:21:06,350 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:21:06,351 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"cytokin\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\"\n", + "2019-01-31 01:21:06,357 : INFO : topic diff=0.003025, rho=0.023020\n", + "2019-01-31 01:21:06,513 : INFO : PROGRESS: pass 0, at document #3776000/4922894\n", + "2019-01-31 01:21:07,880 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:08,146 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.036*\"tortur\" + 0.035*\"cotton\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.020*\"multitud\" + 0.019*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:21:08,147 : INFO : topic #27 (0.020): 0.070*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"ret\" + 0.012*\"find\" + 0.012*\"fool\" + 0.010*\"champion\" + 0.010*\"landslid\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:21:08,148 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:21:08,150 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:21:08,151 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:21:08,157 : INFO : topic diff=0.003120, rho=0.023014\n", + "2019-01-31 01:21:08,310 : INFO : PROGRESS: pass 0, at document #3778000/4922894\n", + "2019-01-31 01:21:09,682 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:09,949 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.028*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"collect\" + 0.011*\"author\"\n", + "2019-01-31 01:21:09,950 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.011*\"briarwood\" + 0.010*\"centuri\"\n", + "2019-01-31 01:21:09,951 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"polaris\" + 0.009*\"replac\" + 0.009*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:21:09,952 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:21:09,953 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:21:09,959 : INFO : topic diff=0.003370, rho=0.023008\n", + "2019-01-31 01:21:12,578 : INFO : -11.961 per-word bound, 3988.1 perplexity estimate based on a held-out corpus of 2000 documents with 522787 words\n", + "2019-01-31 01:21:12,579 : INFO : PROGRESS: pass 0, at document #3780000/4922894\n", + "2019-01-31 01:21:13,921 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:14,187 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"crete\" + 0.024*\"scientist\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:21:14,188 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.017*\"damn\" + 0.013*\"physician\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"jack\"\n", + "2019-01-31 01:21:14,189 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"servitud\" + 0.005*\"utopian\"\n", + "2019-01-31 01:21:14,190 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:21:14,191 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"damag\" + 0.016*\"norwai\" + 0.015*\"sweden\" + 0.015*\"swedish\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:21:14,197 : INFO : topic diff=0.003498, rho=0.023002\n", + "2019-01-31 01:21:14,357 : INFO : PROGRESS: pass 0, at document #3782000/4922894\n", + "2019-01-31 01:21:15,736 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:16,003 : INFO : topic #43 (0.020): 0.062*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.015*\"bypass\" + 0.013*\"seaport\" + 0.013*\"selma\"\n", + "2019-01-31 01:21:16,004 : INFO : topic #13 (0.020): 0.025*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:21:16,005 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.009*\"lobe\" + 0.009*\"land\"\n", + "2019-01-31 01:21:16,006 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\"\n", + "2019-01-31 01:21:16,007 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:21:16,013 : INFO : topic diff=0.003374, rho=0.022996\n", + "2019-01-31 01:21:16,167 : INFO : PROGRESS: pass 0, at document #3784000/4922894\n", + "2019-01-31 01:21:17,536 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:17,803 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:21:17,804 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.024*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:21:17,805 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:21:17,806 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.047*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:21:17,807 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.013*\"der\" + 0.013*\"berlin\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:21:17,813 : INFO : topic diff=0.003121, rho=0.022990\n", + "2019-01-31 01:21:17,970 : INFO : PROGRESS: pass 0, at document #3786000/4922894\n", + "2019-01-31 01:21:19,350 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:19,617 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:21:19,617 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:21:19,619 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:21:19,620 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:21:19,621 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.021*\"christian\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:21:19,626 : INFO : topic diff=0.003101, rho=0.022984\n", + "2019-01-31 01:21:19,784 : INFO : PROGRESS: pass 0, at document #3788000/4922894\n", + "2019-01-31 01:21:21,154 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:21,421 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.032*\"educ\" + 0.025*\"collector\" + 0.017*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:21:21,422 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.078*\"octob\" + 0.077*\"march\" + 0.072*\"juli\" + 0.071*\"august\" + 0.070*\"judici\" + 0.069*\"notion\" + 0.069*\"januari\" + 0.067*\"april\" + 0.064*\"decatur\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:21:21,423 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"lobe\" + 0.009*\"land\"\n", + "2019-01-31 01:21:21,424 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.023*\"area\" + 0.022*\"adulthood\" + 0.021*\"multitud\" + 0.019*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:21:21,425 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:21:21,431 : INFO : topic diff=0.002981, rho=0.022978\n", + "2019-01-31 01:21:21,587 : INFO : PROGRESS: pass 0, at document #3790000/4922894\n", + "2019-01-31 01:21:22,961 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:23,228 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 01:21:23,229 : INFO : topic #41 (0.020): 0.038*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:21:23,230 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:21:23,231 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"open\" + 0.014*\"tiepolo\" + 0.013*\"chamber\"\n", + "2019-01-31 01:21:23,232 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:21:23,238 : INFO : topic diff=0.003257, rho=0.022972\n", + "2019-01-31 01:21:23,395 : INFO : PROGRESS: pass 0, at document #3792000/4922894\n", + "2019-01-31 01:21:24,764 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:25,030 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 01:21:25,031 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:21:25,032 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:21:25,034 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.012*\"find\" + 0.010*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:21:25,035 : INFO : topic #41 (0.020): 0.038*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:21:25,040 : INFO : topic diff=0.002636, rho=0.022966\n", + "2019-01-31 01:21:25,197 : INFO : PROGRESS: pass 0, at document #3794000/4922894\n", + "2019-01-31 01:21:26,563 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:26,829 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.007*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:21:26,831 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.016*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 01:21:26,832 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.005*\"utopian\"\n", + "2019-01-31 01:21:26,833 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:21:26,834 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.022*\"theater\" + 0.019*\"place\" + 0.018*\"compos\" + 0.017*\"damn\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.013*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 01:21:26,840 : INFO : topic diff=0.003099, rho=0.022960\n", + "2019-01-31 01:21:26,993 : INFO : PROGRESS: pass 0, at document #3796000/4922894\n", + "2019-01-31 01:21:28,351 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:28,618 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.031*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.025*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:21:28,619 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.022*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.011*\"find\" + 0.010*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:21:28,620 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.046*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.015*\"leah\" + 0.015*\"kim\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:21:28,621 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.020*\"champion\" + 0.015*\"taxpay\" + 0.015*\"martin\" + 0.014*\"winner\" + 0.014*\"tiepolo\" + 0.014*\"chamber\"\n", + "2019-01-31 01:21:28,622 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:21:28,628 : INFO : topic diff=0.003356, rho=0.022954\n", + "2019-01-31 01:21:28,788 : INFO : PROGRESS: pass 0, at document #3798000/4922894\n", + "2019-01-31 01:21:30,196 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:30,463 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:21:30,464 : INFO : topic #41 (0.020): 0.038*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:21:30,465 : INFO : topic #32 (0.020): 0.054*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.020*\"multitud\" + 0.020*\"cede\" + 0.019*\"regim\"\n", + "2019-01-31 01:21:30,466 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.047*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:21:30,467 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:21:30,473 : INFO : topic diff=0.004252, rho=0.022948\n", + "2019-01-31 01:21:33,146 : INFO : -11.837 per-word bound, 3657.8 perplexity estimate based on a held-out corpus of 2000 documents with 566504 words\n", + "2019-01-31 01:21:33,146 : INFO : PROGRESS: pass 0, at document #3800000/4922894\n", + "2019-01-31 01:21:34,505 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:34,772 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.031*\"raid\" + 0.025*\"rosenwald\" + 0.024*\"rivièr\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.018*\"airmen\" + 0.015*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:21:34,773 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.010*\"briarwood\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:21:34,774 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.029*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"sri\" + 0.010*\"khalsa\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:21:34,775 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.021*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:21:34,776 : INFO : topic #16 (0.020): 0.059*\"king\" + 0.030*\"priest\" + 0.022*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.016*\"grammat\" + 0.014*\"kingdom\" + 0.013*\"count\" + 0.013*\"brazil\"\n", + "2019-01-31 01:21:34,782 : INFO : topic diff=0.004160, rho=0.022942\n", + "2019-01-31 01:21:34,942 : INFO : PROGRESS: pass 0, at document #3802000/4922894\n", + "2019-01-31 01:21:36,327 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:36,593 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:21:36,594 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:21:36,595 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.015*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.008*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:21:36,597 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.027*\"offic\" + 0.023*\"minist\" + 0.023*\"nation\" + 0.023*\"govern\" + 0.021*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:21:36,598 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"bypass\" + 0.014*\"republ\" + 0.013*\"seaport\" + 0.013*\"liber\"\n", + "2019-01-31 01:21:36,603 : INFO : topic diff=0.003732, rho=0.022936\n", + "2019-01-31 01:21:36,760 : INFO : PROGRESS: pass 0, at document #3804000/4922894\n", + "2019-01-31 01:21:38,130 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:38,396 : INFO : topic #43 (0.020): 0.063*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"bypass\" + 0.014*\"republ\" + 0.013*\"seaport\" + 0.013*\"liber\"\n", + "2019-01-31 01:21:38,397 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.021*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:21:38,398 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.043*\"line\" + 0.031*\"raid\" + 0.025*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.018*\"airmen\" + 0.015*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:21:38,399 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.008*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:21:38,400 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:21:38,406 : INFO : topic diff=0.003228, rho=0.022930\n", + "2019-01-31 01:21:38,617 : INFO : PROGRESS: pass 0, at document #3806000/4922894\n", + "2019-01-31 01:21:39,987 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:40,254 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.009*\"lobe\" + 0.009*\"land\"\n", + "2019-01-31 01:21:40,255 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:21:40,256 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.007*\"championship\"\n", + "2019-01-31 01:21:40,257 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:21:40,258 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.016*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:21:40,264 : INFO : topic diff=0.003052, rho=0.022923\n", + "2019-01-31 01:21:40,420 : INFO : PROGRESS: pass 0, at document #3808000/4922894\n", + "2019-01-31 01:21:41,797 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:42,063 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.078*\"march\" + 0.077*\"octob\" + 0.072*\"juli\" + 0.072*\"august\" + 0.070*\"judici\" + 0.069*\"notion\" + 0.068*\"januari\" + 0.067*\"april\" + 0.063*\"decatur\"\n", + "2019-01-31 01:21:42,064 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:21:42,065 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:21:42,066 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:21:42,067 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"jame\" + 0.011*\"david\" + 0.011*\"will\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:21:42,073 : INFO : topic diff=0.003396, rho=0.022917\n", + "2019-01-31 01:21:42,229 : INFO : PROGRESS: pass 0, at document #3810000/4922894\n", + "2019-01-31 01:21:43,593 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:43,859 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"trap\"\n", + "2019-01-31 01:21:43,861 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:21:43,862 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.009*\"veget\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.007*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:21:43,863 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:21:43,864 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.033*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"europ\" + 0.009*\"hungarian\"\n", + "2019-01-31 01:21:43,870 : INFO : topic diff=0.003541, rho=0.022911\n", + "2019-01-31 01:21:44,030 : INFO : PROGRESS: pass 0, at document #3812000/4922894\n", + "2019-01-31 01:21:45,430 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:45,697 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.028*\"incumb\" + 0.015*\"pakistan\" + 0.013*\"islam\" + 0.013*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"affection\" + 0.010*\"sri\" + 0.010*\"alam\"\n", + "2019-01-31 01:21:45,698 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:21:45,699 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.047*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.013*\"misericordia\" + 0.012*\"quebec\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:21:45,700 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.009*\"start\"\n", + "2019-01-31 01:21:45,701 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:21:45,707 : INFO : topic diff=0.004560, rho=0.022905\n", + "2019-01-31 01:21:45,866 : INFO : PROGRESS: pass 0, at document #3814000/4922894\n", + "2019-01-31 01:21:47,240 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:47,506 : INFO : topic #41 (0.020): 0.039*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:21:47,507 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.009*\"lobe\" + 0.009*\"land\"\n", + "2019-01-31 01:21:47,508 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"trap\"\n", + "2019-01-31 01:21:47,509 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.020*\"champion\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"open\" + 0.013*\"chamber\"\n", + "2019-01-31 01:21:47,510 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.028*\"incumb\" + 0.015*\"pakistan\" + 0.013*\"islam\" + 0.012*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"affection\" + 0.010*\"sri\" + 0.010*\"alam\"\n", + "2019-01-31 01:21:47,516 : INFO : topic diff=0.003820, rho=0.022899\n", + "2019-01-31 01:21:47,669 : INFO : PROGRESS: pass 0, at document #3816000/4922894\n", + "2019-01-31 01:21:49,029 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:49,295 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:21:49,296 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"norwai\" + 0.016*\"damag\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.012*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 01:21:49,297 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"turn\" + 0.006*\"develop\"\n", + "2019-01-31 01:21:49,298 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:21:49,299 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 01:21:49,305 : INFO : topic diff=0.003664, rho=0.022893\n", + "2019-01-31 01:21:49,460 : INFO : PROGRESS: pass 0, at document #3818000/4922894\n", + "2019-01-31 01:21:50,823 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:51,090 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:21:51,091 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.044*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.020*\"korea\" + 0.018*\"kim\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:21:51,092 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.022*\"adulthood\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:21:51,093 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.022*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.011*\"champion\" + 0.010*\"landslid\"\n", + "2019-01-31 01:21:51,094 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.047*\"canadian\" + 0.025*\"hoar\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.012*\"quebec\"\n", + "2019-01-31 01:21:51,100 : INFO : topic diff=0.003717, rho=0.022887\n", + "2019-01-31 01:21:53,770 : INFO : -11.499 per-word bound, 2893.6 perplexity estimate based on a held-out corpus of 2000 documents with 558226 words\n", + "2019-01-31 01:21:53,770 : INFO : PROGRESS: pass 0, at document #3820000/4922894\n", + "2019-01-31 01:21:55,131 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:55,397 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:21:55,398 : INFO : topic #16 (0.020): 0.060*\"king\" + 0.030*\"priest\" + 0.021*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"quarterli\" + 0.018*\"idiosyncrat\" + 0.016*\"grammat\" + 0.013*\"count\" + 0.013*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:21:55,399 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"treeless\" + 0.011*\"denmark\"\n", + "2019-01-31 01:21:55,400 : INFO : topic #45 (0.020): 0.038*\"arsen\" + 0.029*\"jpg\" + 0.026*\"fifteenth\" + 0.026*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.015*\"colder\" + 0.014*\"gai\" + 0.014*\"exhaust\" + 0.012*\"artist\"\n", + "2019-01-31 01:21:55,401 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.022*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.013*\"chickasaw\"\n", + "2019-01-31 01:21:55,407 : INFO : topic diff=0.002928, rho=0.022881\n", + "2019-01-31 01:21:55,561 : INFO : PROGRESS: pass 0, at document #3822000/4922894\n", + "2019-01-31 01:21:56,928 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:57,234 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:21:57,235 : INFO : topic #45 (0.020): 0.038*\"arsen\" + 0.029*\"jpg\" + 0.027*\"fifteenth\" + 0.026*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.014*\"gai\" + 0.012*\"artist\"\n", + "2019-01-31 01:21:57,236 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.011*\"denmark\" + 0.011*\"treeless\"\n", + "2019-01-31 01:21:57,237 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"bahá\" + 0.009*\"fleet\"\n", + "2019-01-31 01:21:57,238 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 01:21:57,245 : INFO : topic diff=0.003490, rho=0.022875\n", + "2019-01-31 01:21:57,398 : INFO : PROGRESS: pass 0, at document #3824000/4922894\n", + "2019-01-31 01:21:58,759 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:21:59,026 : INFO : topic #34 (0.020): 0.064*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.027*\"unionist\" + 0.027*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.012*\"citi\"\n", + "2019-01-31 01:21:59,027 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"teufel\" + 0.006*\"citi\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:21:59,028 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:21:59,029 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"championship\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:21:59,030 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.011*\"briarwood\" + 0.011*\"centuri\"\n", + "2019-01-31 01:21:59,036 : INFO : topic diff=0.003194, rho=0.022869\n", + "2019-01-31 01:21:59,186 : INFO : PROGRESS: pass 0, at document #3826000/4922894\n", + "2019-01-31 01:22:00,510 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:00,777 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.022*\"candid\" + 0.018*\"taxpay\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"champion\" + 0.010*\"landslid\"\n", + "2019-01-31 01:22:00,778 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.079*\"march\" + 0.078*\"octob\" + 0.073*\"juli\" + 0.072*\"august\" + 0.071*\"januari\" + 0.070*\"notion\" + 0.070*\"judici\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:22:00,779 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"sack\" + 0.007*\"later\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:22:00,780 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 01:22:00,781 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.021*\"multitud\" + 0.019*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:22:00,787 : INFO : topic diff=0.003850, rho=0.022863\n", + "2019-01-31 01:22:00,947 : INFO : PROGRESS: pass 0, at document #3828000/4922894\n", + "2019-01-31 01:22:02,332 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:02,599 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:22:02,600 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.044*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.020*\"korea\" + 0.019*\"korean\" + 0.018*\"kim\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.013*\"shirin\"\n", + "2019-01-31 01:22:02,601 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.044*\"line\" + 0.030*\"raid\" + 0.027*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.017*\"airmen\" + 0.015*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:22:02,602 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.013*\"wind\" + 0.013*\"treeless\" + 0.013*\"norwegian\" + 0.013*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:22:02,603 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.015*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.009*\"legal\" + 0.007*\"justic\"\n", + "2019-01-31 01:22:02,609 : INFO : topic diff=0.004031, rho=0.022858\n", + "2019-01-31 01:22:02,768 : INFO : PROGRESS: pass 0, at document #3830000/4922894\n", + "2019-01-31 01:22:04,131 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:04,398 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:22:04,399 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.046*\"american\" + 0.029*\"valour\" + 0.019*\"folei\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:22:04,401 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:22:04,402 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:22:04,403 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.015*\"pour\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.007*\"uruguayan\" + 0.006*\"produc\" + 0.006*\"turn\" + 0.006*\"develop\"\n", + "2019-01-31 01:22:04,409 : INFO : topic diff=0.003274, rho=0.022852\n", + "2019-01-31 01:22:04,563 : INFO : PROGRESS: pass 0, at document #3832000/4922894\n", + "2019-01-31 01:22:05,923 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:06,189 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:22:06,190 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.033*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.013*\"der\" + 0.011*\"european\" + 0.009*\"hungarian\" + 0.009*\"europ\"\n", + "2019-01-31 01:22:06,192 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"battalion\" + 0.009*\"aza\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"citi\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:22:06,192 : INFO : topic #16 (0.020): 0.062*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.018*\"quarterli\" + 0.016*\"grammat\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 01:22:06,193 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:22:06,199 : INFO : topic diff=0.003031, rho=0.022846\n", + "2019-01-31 01:22:06,354 : INFO : PROGRESS: pass 0, at document #3834000/4922894\n", + "2019-01-31 01:22:07,716 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:07,982 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.044*\"chilton\" + 0.026*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.019*\"korean\" + 0.018*\"kim\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:22:07,983 : INFO : topic #48 (0.020): 0.083*\"sens\" + 0.080*\"march\" + 0.078*\"octob\" + 0.073*\"juli\" + 0.072*\"august\" + 0.070*\"januari\" + 0.070*\"notion\" + 0.070*\"judici\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:22:07,984 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:22:07,985 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.024*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.010*\"lizard\" + 0.010*\"juan\"\n", + "2019-01-31 01:22:07,986 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.024*\"schuster\" + 0.023*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.011*\"degre\" + 0.011*\"word\" + 0.011*\"http\"\n", + "2019-01-31 01:22:07,992 : INFO : topic diff=0.003450, rho=0.022840\n", + "2019-01-31 01:22:08,147 : INFO : PROGRESS: pass 0, at document #3836000/4922894\n", + "2019-01-31 01:22:09,509 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:09,775 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"battalion\" + 0.009*\"aza\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"teufel\" + 0.006*\"citi\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:22:09,776 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"male\"\n", + "2019-01-31 01:22:09,777 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:22:09,778 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.044*\"line\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.025*\"rivièr\" + 0.019*\"traceabl\" + 0.019*\"serv\" + 0.017*\"airmen\" + 0.015*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:22:09,779 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:22:09,785 : INFO : topic diff=0.003379, rho=0.022834\n", + "2019-01-31 01:22:09,940 : INFO : PROGRESS: pass 0, at document #3838000/4922894\n", + "2019-01-31 01:22:11,288 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:11,554 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.011*\"briarwood\" + 0.010*\"centuri\"\n", + "2019-01-31 01:22:11,555 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.028*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"islam\" + 0.012*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"khalsa\" + 0.010*\"alam\" + 0.010*\"sri\" + 0.010*\"affection\"\n", + "2019-01-31 01:22:11,556 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.079*\"march\" + 0.077*\"octob\" + 0.072*\"juli\" + 0.071*\"august\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.069*\"judici\" + 0.066*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:22:11,557 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"male\"\n", + "2019-01-31 01:22:11,559 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"sack\" + 0.007*\"later\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.005*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:22:11,564 : INFO : topic diff=0.003153, rho=0.022828\n", + "2019-01-31 01:22:14,291 : INFO : -11.945 per-word bound, 3943.6 perplexity estimate based on a held-out corpus of 2000 documents with 554865 words\n", + "2019-01-31 01:22:14,291 : INFO : PROGRESS: pass 0, at document #3840000/4922894\n", + "2019-01-31 01:22:15,660 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:15,926 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.024*\"schuster\" + 0.023*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.011*\"degre\" + 0.011*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:22:15,927 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.015*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:22:15,928 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.048*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.018*\"hydrogen\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.013*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:22:15,929 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:22:15,930 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.015*\"tyrant\" + 0.014*\"turin\"\n", + "2019-01-31 01:22:15,936 : INFO : topic diff=0.003116, rho=0.022822\n", + "2019-01-31 01:22:16,091 : INFO : PROGRESS: pass 0, at document #3842000/4922894\n", + "2019-01-31 01:22:17,450 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:17,716 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.014*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:22:17,717 : INFO : topic #34 (0.020): 0.064*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.028*\"cotton\" + 0.027*\"unionist\" + 0.021*\"year\" + 0.015*\"california\" + 0.014*\"terri\" + 0.013*\"warrior\" + 0.012*\"citi\"\n", + "2019-01-31 01:22:17,718 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"utopian\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:22:17,719 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.036*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.023*\"reprint\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.015*\"tyrant\" + 0.014*\"turin\"\n", + "2019-01-31 01:22:17,720 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.024*\"schuster\" + 0.023*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.011*\"degre\" + 0.011*\"word\"\n", + "2019-01-31 01:22:17,726 : INFO : topic diff=0.003861, rho=0.022816\n", + "2019-01-31 01:22:17,876 : INFO : PROGRESS: pass 0, at document #3844000/4922894\n", + "2019-01-31 01:22:19,207 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:19,474 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.080*\"march\" + 0.078*\"octob\" + 0.072*\"juli\" + 0.072*\"august\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.069*\"judici\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:22:19,475 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.010*\"centuri\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:22:19,476 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.029*\"priest\" + 0.020*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.018*\"rotterdam\" + 0.017*\"grammat\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 01:22:19,477 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.044*\"chilton\" + 0.026*\"hong\" + 0.026*\"kong\" + 0.020*\"korea\" + 0.019*\"korean\" + 0.017*\"kim\" + 0.015*\"sourc\" + 0.015*\"leah\" + 0.014*\"shirin\"\n", + "2019-01-31 01:22:19,478 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.011*\"network\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:22:19,483 : INFO : topic diff=0.003386, rho=0.022810\n", + "2019-01-31 01:22:19,641 : INFO : PROGRESS: pass 0, at document #3846000/4922894\n", + "2019-01-31 01:22:21,002 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:21,268 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.045*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:22:21,269 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.047*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 01:22:21,271 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.030*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 01:22:21,272 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:22:21,273 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.009*\"land\" + 0.009*\"lobe\"\n", + "2019-01-31 01:22:21,279 : INFO : topic diff=0.004282, rho=0.022804\n", + "2019-01-31 01:22:21,436 : INFO : PROGRESS: pass 0, at document #3848000/4922894\n", + "2019-01-31 01:22:22,833 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:23,099 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:22:23,100 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:22:23,101 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"open\" + 0.013*\"chamber\"\n", + "2019-01-31 01:22:23,102 : INFO : topic #16 (0.020): 0.061*\"king\" + 0.029*\"priest\" + 0.021*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.017*\"rotterdam\" + 0.016*\"grammat\" + 0.013*\"kingdom\" + 0.013*\"count\" + 0.012*\"portugues\"\n", + "2019-01-31 01:22:23,103 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.044*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.020*\"korea\" + 0.019*\"korean\" + 0.018*\"kim\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:22:23,109 : INFO : topic diff=0.003134, rho=0.022798\n", + "2019-01-31 01:22:23,267 : INFO : PROGRESS: pass 0, at document #3850000/4922894\n", + "2019-01-31 01:22:24,659 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:24,926 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.047*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.012*\"quebec\"\n", + "2019-01-31 01:22:24,927 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:22:24,928 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.044*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.020*\"korea\" + 0.019*\"korean\" + 0.018*\"kim\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:22:24,929 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:22:24,930 : INFO : topic #45 (0.020): 0.037*\"arsen\" + 0.030*\"jpg\" + 0.027*\"fifteenth\" + 0.026*\"museo\" + 0.021*\"illicit\" + 0.021*\"pain\" + 0.015*\"exhaust\" + 0.015*\"colder\" + 0.014*\"gai\" + 0.013*\"artist\"\n", + "2019-01-31 01:22:24,936 : INFO : topic diff=0.003043, rho=0.022792\n", + "2019-01-31 01:22:25,093 : INFO : PROGRESS: pass 0, at document #3852000/4922894\n", + "2019-01-31 01:22:26,452 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:26,719 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"palmer\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"lobe\"\n", + "2019-01-31 01:22:26,720 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"polaris\" + 0.010*\"replac\" + 0.008*\"legal\" + 0.006*\"rudolf\"\n", + "2019-01-31 01:22:26,721 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"male\" + 0.006*\"florida\"\n", + "2019-01-31 01:22:26,722 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.045*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:22:26,723 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.011*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:22:26,729 : INFO : topic diff=0.003337, rho=0.022786\n", + "2019-01-31 01:22:26,882 : INFO : PROGRESS: pass 0, at document #3854000/4922894\n", + "2019-01-31 01:22:28,223 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:28,490 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:22:28,491 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:22:28,492 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:22:28,493 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.025*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:22:28,494 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:22:28,500 : INFO : topic diff=0.003256, rho=0.022780\n", + "2019-01-31 01:22:28,659 : INFO : PROGRESS: pass 0, at document #3856000/4922894\n", + "2019-01-31 01:22:30,046 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:30,312 : INFO : topic #48 (0.020): 0.082*\"sens\" + 0.079*\"march\" + 0.078*\"octob\" + 0.073*\"juli\" + 0.072*\"august\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.069*\"judici\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:22:30,313 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:22:30,314 : INFO : topic #34 (0.020): 0.063*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.028*\"cotton\" + 0.027*\"unionist\" + 0.021*\"year\" + 0.014*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"citi\"\n", + "2019-01-31 01:22:30,315 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:22:30,316 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:22:30,322 : INFO : topic diff=0.003599, rho=0.022774\n", + "2019-01-31 01:22:30,483 : INFO : PROGRESS: pass 0, at document #3858000/4922894\n", + "2019-01-31 01:22:31,868 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:32,135 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"offic\" + 0.026*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:22:32,136 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:22:32,137 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"sai\"\n", + "2019-01-31 01:22:32,138 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.067*\"best\" + 0.033*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.018*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:22:32,139 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.048*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:22:32,145 : INFO : topic diff=0.002901, rho=0.022768\n", + "2019-01-31 01:22:34,710 : INFO : -11.644 per-word bound, 3199.7 perplexity estimate based on a held-out corpus of 2000 documents with 509170 words\n", + "2019-01-31 01:22:34,711 : INFO : PROGRESS: pass 0, at document #3860000/4922894\n", + "2019-01-31 01:22:36,036 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:36,302 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.024*\"schuster\" + 0.023*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.012*\"degre\"\n", + "2019-01-31 01:22:36,303 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:22:36,305 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"sack\" + 0.007*\"later\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:22:36,306 : INFO : topic #32 (0.020): 0.053*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.021*\"adulthood\" + 0.020*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:22:36,307 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:22:36,313 : INFO : topic diff=0.003388, rho=0.022763\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:22:36,468 : INFO : PROGRESS: pass 0, at document #3862000/4922894\n", + "2019-01-31 01:22:37,826 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:38,092 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"brown\"\n", + "2019-01-31 01:22:38,093 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:22:38,094 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.022*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:22:38,095 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.007*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:22:38,096 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:22:38,102 : INFO : topic diff=0.003561, rho=0.022757\n", + "2019-01-31 01:22:38,257 : INFO : PROGRESS: pass 0, at document #3864000/4922894\n", + "2019-01-31 01:22:39,620 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:39,886 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:22:39,887 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.022*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.017*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:22:39,888 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.047*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:22:39,889 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"citi\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:22:39,891 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:22:39,896 : INFO : topic diff=0.003511, rho=0.022751\n", + "2019-01-31 01:22:40,054 : INFO : PROGRESS: pass 0, at document #3866000/4922894\n", + "2019-01-31 01:22:41,427 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:41,694 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:22:41,695 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.014*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:22:41,696 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"ancestor\"\n", + "2019-01-31 01:22:41,697 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:22:41,698 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:22:41,704 : INFO : topic diff=0.002898, rho=0.022745\n", + "2019-01-31 01:22:41,863 : INFO : PROGRESS: pass 0, at document #3868000/4922894\n", + "2019-01-31 01:22:43,239 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:43,506 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.047*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:22:43,507 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:22:43,509 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:22:43,510 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:22:43,511 : INFO : topic #45 (0.020): 0.038*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.026*\"museo\" + 0.021*\"pain\" + 0.021*\"illicit\" + 0.015*\"exhaust\" + 0.014*\"gai\" + 0.014*\"colder\" + 0.013*\"artist\"\n", + "2019-01-31 01:22:43,517 : INFO : topic diff=0.003780, rho=0.022739\n", + "2019-01-31 01:22:43,729 : INFO : PROGRESS: pass 0, at document #3870000/4922894\n", + "2019-01-31 01:22:45,100 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:45,367 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.008*\"develop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:22:45,368 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.026*\"hong\" + 0.026*\"kong\" + 0.019*\"korea\" + 0.017*\"korean\" + 0.016*\"kim\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:22:45,368 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.034*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.018*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:22:45,369 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.033*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:22:45,370 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:22:45,376 : INFO : topic diff=0.003167, rho=0.022733\n", + "2019-01-31 01:22:45,537 : INFO : PROGRESS: pass 0, at document #3872000/4922894\n", + "2019-01-31 01:22:46,920 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:47,186 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.017*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:22:47,187 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:22:47,188 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.036*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"turin\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:22:47,189 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.026*\"hong\" + 0.026*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.016*\"kim\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\"\n", + "2019-01-31 01:22:47,190 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.079*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.070*\"juli\" + 0.069*\"august\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.065*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:22:47,196 : INFO : topic diff=0.003341, rho=0.022727\n", + "2019-01-31 01:22:47,357 : INFO : PROGRESS: pass 0, at document #3874000/4922894\n", + "2019-01-31 01:22:48,750 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:22:49,016 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"norwai\" + 0.017*\"stop\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:22:49,017 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.036*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"turin\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:22:49,018 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.017*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:22:49,019 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:22:49,020 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.029*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.011*\"centuri\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:22:49,026 : INFO : topic diff=0.003746, rho=0.022721\n", + "2019-01-31 01:22:49,182 : INFO : PROGRESS: pass 0, at document #3876000/4922894\n", + "2019-01-31 01:22:50,554 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:50,820 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.021*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.006*\"rudolf\"\n", + "2019-01-31 01:22:50,821 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"blur\" + 0.012*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:22:50,822 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.047*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.018*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:22:50,823 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:22:50,824 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"teratogen\" + 0.006*\"produc\"\n", + "2019-01-31 01:22:50,830 : INFO : topic diff=0.003502, rho=0.022716\n", + "2019-01-31 01:22:50,988 : INFO : PROGRESS: pass 0, at document #3878000/4922894\n", + "2019-01-31 01:22:52,355 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:52,622 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:22:52,623 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"trap\"\n", + "2019-01-31 01:22:52,624 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"itali\"\n", + "2019-01-31 01:22:52,625 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.023*\"democrat\" + 0.023*\"voluntari\" + 0.021*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:22:52,626 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.024*\"hoar\" + 0.022*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:22:52,632 : INFO : topic diff=0.003351, rho=0.022710\n", + "2019-01-31 01:22:55,342 : INFO : -11.877 per-word bound, 3762.1 perplexity estimate based on a held-out corpus of 2000 documents with 572994 words\n", + "2019-01-31 01:22:55,342 : INFO : PROGRESS: pass 0, at document #3880000/4922894\n", + "2019-01-31 01:22:56,727 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:56,993 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:22:56,995 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.029*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:22:56,996 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.029*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"televis\" + 0.011*\"sri\" + 0.011*\"khalsa\" + 0.010*\"affection\"\n", + "2019-01-31 01:22:56,997 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.020*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:22:56,998 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:22:57,004 : INFO : topic diff=0.003418, rho=0.022704\n", + "2019-01-31 01:22:57,161 : INFO : PROGRESS: pass 0, at document #3882000/4922894\n", + "2019-01-31 01:22:58,522 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:22:58,789 : INFO : topic #33 (0.020): 0.062*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:22:58,790 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:22:58,791 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"male\" + 0.006*\"florida\"\n", + "2019-01-31 01:22:58,792 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"norwai\" + 0.017*\"stop\" + 0.015*\"damag\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:22:58,793 : INFO : topic #27 (0.020): 0.071*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.014*\"driver\" + 0.013*\"ret\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.011*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:22:58,799 : INFO : topic diff=0.002982, rho=0.022698\n", + "2019-01-31 01:22:58,953 : INFO : PROGRESS: pass 0, at document #3884000/4922894\n", + "2019-01-31 01:23:00,310 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:00,577 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"male\" + 0.006*\"florida\"\n", + "2019-01-31 01:23:00,578 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"offic\" + 0.025*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"serv\" + 0.020*\"member\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:23:00,579 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:23:00,580 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:23:00,581 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:23:00,587 : INFO : topic diff=0.003440, rho=0.022692\n", + "2019-01-31 01:23:00,743 : INFO : PROGRESS: pass 0, at document #3886000/4922894\n", + "2019-01-31 01:23:02,114 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:02,381 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.014*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:23:02,382 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.046*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:23:02,383 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:23:02,384 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:23:02,385 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.037*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.014*\"tyrant\" + 0.014*\"turin\"\n", + "2019-01-31 01:23:02,391 : INFO : topic diff=0.003566, rho=0.022686\n", + "2019-01-31 01:23:02,545 : INFO : PROGRESS: pass 0, at document #3888000/4922894\n", + "2019-01-31 01:23:03,904 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:04,170 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:23:04,171 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.006*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:23:04,172 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:23:04,174 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:23:04,175 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:23:04,181 : INFO : topic diff=0.003030, rho=0.022680\n", + "2019-01-31 01:23:04,337 : INFO : PROGRESS: pass 0, at document #3890000/4922894\n", + "2019-01-31 01:23:05,714 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:05,980 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.031*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:23:05,981 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:23:05,982 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.046*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:23:05,983 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:23:05,984 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"storag\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"nicola\"\n", + "2019-01-31 01:23:05,991 : INFO : topic diff=0.003599, rho=0.022675\n", + "2019-01-31 01:23:06,143 : INFO : PROGRESS: pass 0, at document #3892000/4922894\n", + "2019-01-31 01:23:07,495 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:07,761 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"teratogen\"\n", + "2019-01-31 01:23:07,762 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"nicola\" + 0.011*\"author\" + 0.011*\"storag\" + 0.011*\"magazin\"\n", + "2019-01-31 01:23:07,763 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:23:07,764 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.011*\"word\" + 0.011*\"degre\"\n", + "2019-01-31 01:23:07,765 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:23:07,771 : INFO : topic diff=0.003965, rho=0.022669\n", + "2019-01-31 01:23:07,925 : INFO : PROGRESS: pass 0, at document #3894000/4922894\n", + "2019-01-31 01:23:09,293 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:09,560 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:23:09,562 : INFO : topic #45 (0.020): 0.038*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.015*\"exhaust\" + 0.015*\"colder\" + 0.015*\"gai\" + 0.014*\"artist\"\n", + "2019-01-31 01:23:09,563 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:23:09,564 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"itali\"\n", + "2019-01-31 01:23:09,565 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"cultur\"\n", + "2019-01-31 01:23:09,571 : INFO : topic diff=0.003767, rho=0.022663\n", + "2019-01-31 01:23:09,728 : INFO : PROGRESS: pass 0, at document #3896000/4922894\n", + "2019-01-31 01:23:11,106 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:11,373 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.011*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:23:11,374 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 01:23:11,375 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:23:11,376 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.018*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:23:11,377 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:23:11,383 : INFO : topic diff=0.003605, rho=0.022657\n", + "2019-01-31 01:23:11,545 : INFO : PROGRESS: pass 0, at document #3898000/4922894\n", + "2019-01-31 01:23:12,935 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:13,201 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.045*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:23:13,202 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"itali\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:23:13,204 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.009*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:23:13,205 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:23:13,206 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.020*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:23:13,211 : INFO : topic diff=0.003725, rho=0.022651\n", + "2019-01-31 01:23:15,903 : INFO : -11.718 per-word bound, 3369.1 perplexity estimate based on a held-out corpus of 2000 documents with 552483 words\n", + "2019-01-31 01:23:15,903 : INFO : PROGRESS: pass 0, at document #3900000/4922894\n", + "2019-01-31 01:23:17,280 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:17,547 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:23:17,548 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.038*\"sovereignti\" + 0.036*\"rural\" + 0.028*\"poison\" + 0.024*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.020*\"poland\" + 0.014*\"tyrant\" + 0.014*\"turin\"\n", + "2019-01-31 01:23:17,549 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 01:23:17,550 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:23:17,551 : INFO : topic #45 (0.020): 0.038*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.015*\"colder\" + 0.015*\"exhaust\" + 0.015*\"gai\" + 0.014*\"artist\"\n", + "2019-01-31 01:23:17,558 : INFO : topic diff=0.002951, rho=0.022646\n", + "2019-01-31 01:23:17,713 : INFO : PROGRESS: pass 0, at document #3902000/4922894\n", + "2019-01-31 01:23:19,062 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:19,328 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.016*\"stop\" + 0.016*\"norwai\" + 0.015*\"damag\" + 0.014*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.011*\"denmark\" + 0.011*\"treeless\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:23:19,330 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:23:19,331 : INFO : topic #28 (0.020): 0.034*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:23:19,332 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:23:19,333 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:23:19,339 : INFO : topic diff=0.002800, rho=0.022640\n", + "2019-01-31 01:23:19,552 : INFO : PROGRESS: pass 0, at document #3904000/4922894\n", + "2019-01-31 01:23:20,912 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:21,178 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:23:21,179 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:23:21,181 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.008*\"local\"\n", + "2019-01-31 01:23:21,182 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:23:21,183 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:23:21,189 : INFO : topic diff=0.003208, rho=0.022634\n", + "2019-01-31 01:23:21,347 : INFO : PROGRESS: pass 0, at document #3906000/4922894\n", + "2019-01-31 01:23:22,710 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:22,976 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\" + 0.011*\"magazin\"\n", + "2019-01-31 01:23:22,977 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.070*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:23:22,978 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"wale\" + 0.014*\"youth\"\n", + "2019-01-31 01:23:22,979 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.042*\"line\" + 0.030*\"raid\" + 0.026*\"rivièr\" + 0.026*\"rosenwald\" + 0.024*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.014*\"oper\" + 0.011*\"radiu\"\n", + "2019-01-31 01:23:22,980 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:23:22,986 : INFO : topic diff=0.003594, rho=0.022628\n", + "2019-01-31 01:23:23,143 : INFO : PROGRESS: pass 0, at document #3908000/4922894\n", + "2019-01-31 01:23:24,520 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:24,786 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:23:24,787 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:23:24,788 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:23:24,790 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:23:24,791 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"storag\" + 0.011*\"nicola\" + 0.011*\"author\" + 0.011*\"worldwid\"\n", + "2019-01-31 01:23:24,796 : INFO : topic diff=0.004238, rho=0.022622\n", + "2019-01-31 01:23:24,952 : INFO : PROGRESS: pass 0, at document #3910000/4922894\n", + "2019-01-31 01:23:26,318 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:26,584 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:23:26,585 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:23:26,586 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"origin\" + 0.009*\"form\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:23:26,587 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.014*\"driver\" + 0.013*\"fool\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.011*\"find\" + 0.010*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:23:26,588 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:23:26,595 : INFO : topic diff=0.003804, rho=0.022617\n", + "2019-01-31 01:23:26,751 : INFO : PROGRESS: pass 0, at document #3912000/4922894\n", + "2019-01-31 01:23:28,299 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:28,567 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:23:28,568 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airbu\"\n", + "2019-01-31 01:23:28,569 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:23:28,570 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.019*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:23:28,571 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:23:28,577 : INFO : topic diff=0.003631, rho=0.022611\n", + "2019-01-31 01:23:28,734 : INFO : PROGRESS: pass 0, at document #3914000/4922894\n", + "2019-01-31 01:23:30,105 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:30,372 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.079*\"sens\" + 0.077*\"octob\" + 0.070*\"juli\" + 0.069*\"januari\" + 0.068*\"august\" + 0.067*\"notion\" + 0.066*\"judici\" + 0.064*\"april\" + 0.063*\"decatur\"\n", + "2019-01-31 01:23:30,373 : INFO : topic #24 (0.020): 0.038*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"nicola\" + 0.011*\"storag\" + 0.011*\"magazin\" + 0.011*\"author\"\n", + "2019-01-31 01:23:30,374 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:23:30,375 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"method\" + 0.006*\"servitud\"\n", + "2019-01-31 01:23:30,376 : INFO : topic #27 (0.020): 0.072*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"tornado\" + 0.012*\"ret\" + 0.011*\"find\" + 0.010*\"landslid\" + 0.010*\"champion\"\n", + "2019-01-31 01:23:30,382 : INFO : topic diff=0.002952, rho=0.022605\n", + "2019-01-31 01:23:30,543 : INFO : PROGRESS: pass 0, at document #3916000/4922894\n", + "2019-01-31 01:23:31,944 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:32,210 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:23:32,211 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:23:32,212 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:23:32,213 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:23:32,214 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:23:32,220 : INFO : topic diff=0.004120, rho=0.022599\n", + "2019-01-31 01:23:32,372 : INFO : PROGRESS: pass 0, at document #3918000/4922894\n", + "2019-01-31 01:23:33,710 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:33,976 : INFO : topic #40 (0.020): 0.084*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:23:33,977 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"function\"\n", + "2019-01-31 01:23:33,978 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"norwai\" + 0.016*\"sweden\" + 0.015*\"damag\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.013*\"treeless\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:23:33,979 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.019*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:23:33,980 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:23:33,986 : INFO : topic diff=0.003299, rho=0.022593\n", + "2019-01-31 01:23:36,659 : INFO : -11.674 per-word bound, 3267.7 perplexity estimate based on a held-out corpus of 2000 documents with 549204 words\n", + "2019-01-31 01:23:36,660 : INFO : PROGRESS: pass 0, at document #3920000/4922894\n", + "2019-01-31 01:23:38,034 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:38,300 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:23:38,301 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.027*\"poison\" + 0.024*\"personifi\" + 0.022*\"reprint\" + 0.021*\"moscow\" + 0.020*\"poland\" + 0.014*\"turin\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:23:38,302 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"method\" + 0.006*\"servitud\"\n", + "2019-01-31 01:23:38,303 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.024*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:23:38,304 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.015*\"mount\" + 0.015*\"warmth\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:23:38,310 : INFO : topic diff=0.003144, rho=0.022588\n", + "2019-01-31 01:23:38,461 : INFO : PROGRESS: pass 0, at document #3922000/4922894\n", + "2019-01-31 01:23:39,794 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:40,060 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.024*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:23:40,061 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:23:40,062 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.027*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"citi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:23:40,063 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"norwai\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.013*\"treeless\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:23:40,065 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:23:40,071 : INFO : topic diff=0.003439, rho=0.022582\n", + "2019-01-31 01:23:40,222 : INFO : PROGRESS: pass 0, at document #3924000/4922894\n", + "2019-01-31 01:23:41,558 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:41,824 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.019*\"korea\" + 0.017*\"korean\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:23:41,825 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"nicola\" + 0.011*\"storag\" + 0.011*\"magazin\" + 0.011*\"author\"\n", + "2019-01-31 01:23:41,827 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.040*\"line\" + 0.030*\"raid\" + 0.027*\"rosenwald\" + 0.026*\"rivièr\" + 0.023*\"airmen\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.014*\"oper\" + 0.010*\"radiu\"\n", + "2019-01-31 01:23:41,828 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.013*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:23:41,829 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"championship\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.008*\"uruguayan\"\n", + "2019-01-31 01:23:41,835 : INFO : topic diff=0.003635, rho=0.022576\n", + "2019-01-31 01:23:41,989 : INFO : PROGRESS: pass 0, at document #3926000/4922894\n", + "2019-01-31 01:23:43,335 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:43,602 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.013*\"treeless\" + 0.011*\"huntsvil\" + 0.011*\"denmark\"\n", + "2019-01-31 01:23:43,603 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.006*\"rudolf\"\n", + "2019-01-31 01:23:43,604 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:23:43,605 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.015*\"taxpay\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:23:43,606 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\"\n", + "2019-01-31 01:23:43,612 : INFO : topic diff=0.003061, rho=0.022570\n", + "2019-01-31 01:23:43,767 : INFO : PROGRESS: pass 0, at document #3928000/4922894\n", + "2019-01-31 01:23:45,137 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:45,403 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:23:45,404 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.030*\"raid\" + 0.027*\"rosenwald\" + 0.026*\"rivièr\" + 0.023*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.014*\"oper\" + 0.010*\"radiu\"\n", + "2019-01-31 01:23:45,406 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:23:45,407 : INFO : topic #45 (0.020): 0.039*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.019*\"illicit\" + 0.015*\"exhaust\" + 0.015*\"colder\" + 0.014*\"gai\" + 0.014*\"artist\"\n", + "2019-01-31 01:23:45,408 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:23:45,414 : INFO : topic diff=0.003247, rho=0.022565\n", + "2019-01-31 01:23:45,570 : INFO : PROGRESS: pass 0, at document #3930000/4922894\n", + "2019-01-31 01:23:46,920 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:47,186 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.018*\"polit\" + 0.017*\"player\" + 0.017*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:23:47,187 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.030*\"raid\" + 0.027*\"rivièr\" + 0.027*\"rosenwald\" + 0.023*\"airmen\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.014*\"oper\" + 0.011*\"radiu\"\n", + "2019-01-31 01:23:47,188 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:23:47,189 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.029*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.013*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:23:47,190 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.015*\"mount\" + 0.015*\"warmth\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:23:47,196 : INFO : topic diff=0.004011, rho=0.022559\n", + "2019-01-31 01:23:47,350 : INFO : PROGRESS: pass 0, at document #3932000/4922894\n", + "2019-01-31 01:23:48,707 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:48,973 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:23:48,974 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:23:48,975 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:23:48,976 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:23:48,977 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"islam\" + 0.011*\"anglo\" + 0.011*\"sri\" + 0.011*\"muskoge\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 01:23:48,983 : INFO : topic diff=0.003621, rho=0.022553\n", + "2019-01-31 01:23:49,193 : INFO : PROGRESS: pass 0, at document #3934000/4922894\n", + "2019-01-31 01:23:50,559 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:50,825 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"male\" + 0.006*\"feel\"\n", + "2019-01-31 01:23:50,826 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.019*\"tourist\" + 0.018*\"champion\" + 0.014*\"taxpay\" + 0.014*\"martin\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:23:50,827 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.044*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.018*\"regim\"\n", + "2019-01-31 01:23:50,828 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.045*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:23:50,830 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:23:50,836 : INFO : topic diff=0.004053, rho=0.022547\n", + "2019-01-31 01:23:50,991 : INFO : PROGRESS: pass 0, at document #3936000/4922894\n", + "2019-01-31 01:23:52,345 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:52,612 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:23:52,613 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:23:52,615 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:23:52,616 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.023*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:23:52,617 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.008*\"championship\"\n", + "2019-01-31 01:23:52,623 : INFO : topic diff=0.003619, rho=0.022542\n", + "2019-01-31 01:23:52,785 : INFO : PROGRESS: pass 0, at document #3938000/4922894\n", + "2019-01-31 01:23:54,176 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:54,443 : INFO : topic #16 (0.020): 0.058*\"king\" + 0.031*\"priest\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.017*\"rotterdam\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.013*\"count\" + 0.012*\"portugues\" + 0.012*\"maria\"\n", + "2019-01-31 01:23:54,444 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"male\" + 0.006*\"feel\"\n", + "2019-01-31 01:23:54,445 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:23:54,446 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:23:54,448 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"method\" + 0.006*\"servitud\"\n", + "2019-01-31 01:23:54,454 : INFO : topic diff=0.003983, rho=0.022536\n", + "2019-01-31 01:23:57,204 : INFO : -11.613 per-word bound, 3132.6 perplexity estimate based on a held-out corpus of 2000 documents with 554556 words\n", + "2019-01-31 01:23:57,204 : INFO : PROGRESS: pass 0, at document #3940000/4922894\n", + "2019-01-31 01:23:58,586 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:23:58,852 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.039*\"rural\" + 0.037*\"sovereignti\" + 0.026*\"poison\" + 0.023*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.014*\"tyrant\" + 0.014*\"turin\"\n", + "2019-01-31 01:23:58,853 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:23:58,855 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:23:58,856 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.008*\"highli\"\n", + "2019-01-31 01:23:58,857 : INFO : topic #45 (0.020): 0.040*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.015*\"colder\" + 0.015*\"exhaust\" + 0.015*\"gai\" + 0.014*\"artist\"\n", + "2019-01-31 01:23:58,863 : INFO : topic diff=0.003189, rho=0.022530\n", + "2019-01-31 01:23:59,020 : INFO : PROGRESS: pass 0, at document #3942000/4922894\n", + "2019-01-31 01:24:00,383 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:00,650 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.013*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:24:00,651 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:24:00,652 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:24:00,653 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.006*\"rudolf\"\n", + "2019-01-31 01:24:00,654 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:24:00,660 : INFO : topic diff=0.003902, rho=0.022525\n", + "2019-01-31 01:24:00,816 : INFO : PROGRESS: pass 0, at document #3944000/4922894\n", + "2019-01-31 01:24:02,194 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:02,460 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.026*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:24:02,461 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:24:02,462 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.029*\"raid\" + 0.027*\"rivièr\" + 0.026*\"rosenwald\" + 0.023*\"airmen\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.014*\"oper\" + 0.011*\"radiu\"\n", + "2019-01-31 01:24:02,463 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.013*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:24:02,464 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.045*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:24:02,470 : INFO : topic diff=0.003213, rho=0.022519\n", + "2019-01-31 01:24:02,629 : INFO : PROGRESS: pass 0, at document #3946000/4922894\n", + "2019-01-31 01:24:04,018 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:04,285 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:24:04,286 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.048*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:24:04,287 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:24:04,288 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"deal\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:24:04,289 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.024*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"josé\"\n", + "2019-01-31 01:24:04,295 : INFO : topic diff=0.003324, rho=0.022513\n", + "2019-01-31 01:24:04,452 : INFO : PROGRESS: pass 0, at document #3948000/4922894\n", + "2019-01-31 01:24:05,828 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:06,094 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"josé\"\n", + "2019-01-31 01:24:06,095 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.030*\"raid\" + 0.027*\"rivièr\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.014*\"oper\" + 0.010*\"radiu\"\n", + "2019-01-31 01:24:06,096 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:24:06,097 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.039*\"rural\" + 0.036*\"sovereignti\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.014*\"tyrant\" + 0.014*\"turin\"\n", + "2019-01-31 01:24:06,098 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:24:06,104 : INFO : topic diff=0.002940, rho=0.022507\n", + "2019-01-31 01:24:06,265 : INFO : PROGRESS: pass 0, at document #3950000/4922894\n", + "2019-01-31 01:24:07,622 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:07,887 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.041*\"line\" + 0.030*\"raid\" + 0.027*\"rivièr\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.014*\"oper\" + 0.010*\"radiu\"\n", + "2019-01-31 01:24:07,888 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.026*\"minist\" + 0.023*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.015*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:24:07,889 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.019*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:24:07,890 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:24:07,892 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:24:07,897 : INFO : topic diff=0.003183, rho=0.022502\n", + "2019-01-31 01:24:08,054 : INFO : PROGRESS: pass 0, at document #3952000/4922894\n", + "2019-01-31 01:24:09,443 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:09,710 : INFO : topic #8 (0.020): 0.028*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.006*\"judaism\"\n", + "2019-01-31 01:24:09,711 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.069*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:24:09,712 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"storag\" + 0.011*\"author\" + 0.011*\"magazin\" + 0.011*\"nicola\"\n", + "2019-01-31 01:24:09,713 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:24:09,714 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.016*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:24:09,720 : INFO : topic diff=0.003415, rho=0.022496\n", + "2019-01-31 01:24:09,875 : INFO : PROGRESS: pass 0, at document #3954000/4922894\n", + "2019-01-31 01:24:11,238 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:11,504 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:24:11,505 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.006*\"judaism\"\n", + "2019-01-31 01:24:11,506 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.021*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:24:11,507 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:24:11,508 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:24:11,514 : INFO : topic diff=0.003443, rho=0.022490\n", + "2019-01-31 01:24:11,673 : INFO : PROGRESS: pass 0, at document #3956000/4922894\n", + "2019-01-31 01:24:13,061 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:13,327 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:24:13,328 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.019*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:24:13,329 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.019*\"alic\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:24:13,330 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:24:13,331 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:24:13,337 : INFO : topic diff=0.003558, rho=0.022485\n", + "2019-01-31 01:24:13,491 : INFO : PROGRESS: pass 0, at document #3958000/4922894\n", + "2019-01-31 01:24:14,854 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:15,120 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:24:15,122 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:24:15,123 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.011*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:24:15,124 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.016*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:24:15,125 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.017*\"player\" + 0.017*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:24:15,131 : INFO : topic diff=0.002872, rho=0.022479\n", + "2019-01-31 01:24:17,762 : INFO : -11.462 per-word bound, 2821.3 perplexity estimate based on a held-out corpus of 2000 documents with 536698 words\n", + "2019-01-31 01:24:17,763 : INFO : PROGRESS: pass 0, at document #3960000/4922894\n", + "2019-01-31 01:24:19,116 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:19,383 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"softwar\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.008*\"championship\"\n", + "2019-01-31 01:24:19,384 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:24:19,385 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"vernon\"\n", + "2019-01-31 01:24:19,386 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"hungarian\" + 0.009*\"austria\"\n", + "2019-01-31 01:24:19,387 : INFO : topic #38 (0.020): 0.024*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:24:19,393 : INFO : topic diff=0.003214, rho=0.022473\n", + "2019-01-31 01:24:19,549 : INFO : PROGRESS: pass 0, at document #3962000/4922894\n", + "2019-01-31 01:24:20,913 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:21,179 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.028*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:24:21,180 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:24:21,181 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:24:21,182 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.013*\"ret\" + 0.013*\"fool\" + 0.010*\"find\" + 0.010*\"landslid\" + 0.010*\"horac\"\n", + "2019-01-31 01:24:21,183 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:24:21,189 : INFO : topic diff=0.003078, rho=0.022468\n", + "2019-01-31 01:24:21,347 : INFO : PROGRESS: pass 0, at document #3964000/4922894\n", + "2019-01-31 01:24:22,731 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:22,997 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.010*\"find\" + 0.010*\"landslid\" + 0.010*\"horac\"\n", + "2019-01-31 01:24:22,998 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"http\" + 0.012*\"word\"\n", + "2019-01-31 01:24:22,998 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:24:22,999 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.046*\"franc\" + 0.032*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:24:23,000 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"olympo\" + 0.014*\"orchestr\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:24:23,006 : INFO : topic diff=0.002975, rho=0.022462\n", + "2019-01-31 01:24:23,216 : INFO : PROGRESS: pass 0, at document #3966000/4922894\n", + "2019-01-31 01:24:24,596 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:24,862 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.047*\"canadian\" + 0.026*\"hoar\" + 0.024*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:24:24,863 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:24:24,864 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.079*\"sens\" + 0.077*\"octob\" + 0.070*\"juli\" + 0.069*\"januari\" + 0.068*\"august\" + 0.067*\"notion\" + 0.066*\"judici\" + 0.065*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:24:24,865 : INFO : topic #2 (0.020): 0.052*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.013*\"pope\" + 0.011*\"coalit\" + 0.011*\"nativist\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:24:24,866 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:24:24,872 : INFO : topic diff=0.003814, rho=0.022456\n", + "2019-01-31 01:24:25,026 : INFO : PROGRESS: pass 0, at document #3968000/4922894\n", + "2019-01-31 01:24:26,366 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:26,632 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:24:26,633 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:24:26,635 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:24:26,636 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:24:26,637 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:24:26,643 : INFO : topic diff=0.003495, rho=0.022451\n", + "2019-01-31 01:24:26,800 : INFO : PROGRESS: pass 0, at document #3970000/4922894\n", + "2019-01-31 01:24:28,182 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:28,450 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:24:28,451 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:24:28,452 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.017*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"crayfish\" + 0.008*\"lobe\"\n", + "2019-01-31 01:24:28,453 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.041*\"line\" + 0.031*\"raid\" + 0.028*\"rivièr\" + 0.026*\"rosenwald\" + 0.023*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:24:28,454 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"selma\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:24:28,460 : INFO : topic diff=0.003436, rho=0.022445\n", + "2019-01-31 01:24:28,614 : INFO : PROGRESS: pass 0, at document #3972000/4922894\n", + "2019-01-31 01:24:29,958 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:30,224 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:24:30,225 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.034*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"storag\" + 0.011*\"nicola\"\n", + "2019-01-31 01:24:30,226 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 01:24:30,227 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:24:30,229 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:24:30,234 : INFO : topic diff=0.002874, rho=0.022439\n", + "2019-01-31 01:24:30,392 : INFO : PROGRESS: pass 0, at document #3974000/4922894\n", + "2019-01-31 01:24:31,736 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:32,002 : INFO : topic #45 (0.020): 0.041*\"arsen\" + 0.029*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.015*\"colder\" + 0.015*\"gai\" + 0.015*\"exhaust\" + 0.014*\"artist\"\n", + "2019-01-31 01:24:32,003 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:24:32,004 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"taxpay\" + 0.026*\"scientist\" + 0.024*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:24:32,006 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.006*\"incom\" + 0.006*\"trap\" + 0.006*\"male\"\n", + "2019-01-31 01:24:32,007 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.008*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:24:32,013 : INFO : topic diff=0.003560, rho=0.022434\n", + "2019-01-31 01:24:32,172 : INFO : PROGRESS: pass 0, at document #3976000/4922894\n", + "2019-01-31 01:24:33,539 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:33,807 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.017*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"crayfish\" + 0.008*\"lobe\"\n", + "2019-01-31 01:24:33,808 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:24:33,809 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:24:33,810 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:24:33,811 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:24:33,817 : INFO : topic diff=0.003857, rho=0.022428\n", + "2019-01-31 01:24:33,977 : INFO : PROGRESS: pass 0, at document #3978000/4922894\n", + "2019-01-31 01:24:35,358 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:35,625 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:24:35,626 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 01:24:35,628 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.035*\"new\" + 0.032*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:24:35,629 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.012*\"diversifi\" + 0.012*\"militari\" + 0.012*\"airbu\"\n", + "2019-01-31 01:24:35,630 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.032*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:24:35,635 : INFO : topic diff=0.003372, rho=0.022422\n", + "2019-01-31 01:24:38,339 : INFO : -11.565 per-word bound, 3030.1 perplexity estimate based on a held-out corpus of 2000 documents with 581484 words\n", + "2019-01-31 01:24:38,339 : INFO : PROGRESS: pass 0, at document #3980000/4922894\n", + "2019-01-31 01:24:39,718 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:39,984 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.014*\"olympo\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:24:39,985 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"denmark\" + 0.010*\"huntsvil\"\n", + "2019-01-31 01:24:39,986 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.017*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.017*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:24:39,987 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:24:39,988 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:24:39,993 : INFO : topic diff=0.003445, rho=0.022417\n", + "2019-01-31 01:24:40,148 : INFO : PROGRESS: pass 0, at document #3982000/4922894\n", + "2019-01-31 01:24:41,501 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:41,767 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"jame\" + 0.011*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\" + 0.007*\"georg\"\n", + "2019-01-31 01:24:41,768 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:24:41,769 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.029*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:24:41,770 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"islam\" + 0.012*\"anglo\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.010*\"sri\" + 0.010*\"alam\"\n", + "2019-01-31 01:24:41,771 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"http\" + 0.011*\"word\"\n", + "2019-01-31 01:24:41,778 : INFO : topic diff=0.003602, rho=0.022411\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:24:41,935 : INFO : PROGRESS: pass 0, at document #3984000/4922894\n", + "2019-01-31 01:24:43,301 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:43,569 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:24:43,570 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:24:43,571 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.070*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.020*\"noll\" + 0.018*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:24:43,572 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:24:43,573 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"wind\" + 0.015*\"swedish\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"denmark\" + 0.011*\"huntsvil\"\n", + "2019-01-31 01:24:43,579 : INFO : topic diff=0.003115, rho=0.022406\n", + "2019-01-31 01:24:43,742 : INFO : PROGRESS: pass 0, at document #3986000/4922894\n", + "2019-01-31 01:24:45,137 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:45,403 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"utopian\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.005*\"method\"\n", + "2019-01-31 01:24:45,404 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"pour\" + 0.014*\"depress\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:24:45,405 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.017*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.017*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:24:45,406 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.012*\"open\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:24:45,407 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:24:45,413 : INFO : topic diff=0.004412, rho=0.022400\n", + "2019-01-31 01:24:45,570 : INFO : PROGRESS: pass 0, at document #3988000/4922894\n", + "2019-01-31 01:24:46,926 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:47,192 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:24:47,194 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:24:47,195 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.070*\"best\" + 0.033*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.018*\"women\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:24:47,196 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.035*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:24:47,197 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.040*\"line\" + 0.030*\"raid\" + 0.028*\"rivièr\" + 0.027*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.014*\"oper\" + 0.011*\"rail\"\n", + "2019-01-31 01:24:47,202 : INFO : topic diff=0.003197, rho=0.022394\n", + "2019-01-31 01:24:47,358 : INFO : PROGRESS: pass 0, at document #3990000/4922894\n", + "2019-01-31 01:24:48,727 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:48,993 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.022*\"christian\" + 0.022*\"cathol\" + 0.019*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:24:48,995 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.019*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:24:48,996 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:24:48,996 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.046*\"canadian\" + 0.026*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.016*\"new\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:24:48,997 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:24:49,003 : INFO : topic diff=0.002406, rho=0.022389\n", + "2019-01-31 01:24:49,161 : INFO : PROGRESS: pass 0, at document #3992000/4922894\n", + "2019-01-31 01:24:50,551 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:50,817 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"report\" + 0.013*\"selma\"\n", + "2019-01-31 01:24:50,818 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.014*\"blur\" + 0.014*\"pope\" + 0.011*\"coalit\" + 0.010*\"nativist\" + 0.009*\"class\" + 0.009*\"vernon\"\n", + "2019-01-31 01:24:50,819 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:24:50,820 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:24:50,821 : INFO : topic #13 (0.020): 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"ireland\" + 0.019*\"british\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:24:50,827 : INFO : topic diff=0.002651, rho=0.022383\n", + "2019-01-31 01:24:50,987 : INFO : PROGRESS: pass 0, at document #3994000/4922894\n", + "2019-01-31 01:24:52,368 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:52,636 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:24:52,637 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.006*\"incom\" + 0.006*\"trap\" + 0.006*\"male\"\n", + "2019-01-31 01:24:52,639 : INFO : topic #45 (0.020): 0.042*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.015*\"exhaust\" + 0.015*\"gai\" + 0.014*\"artist\"\n", + "2019-01-31 01:24:52,640 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:24:52,641 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"jame\" + 0.011*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.007*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:24:52,647 : INFO : topic diff=0.004230, rho=0.022377\n", + "2019-01-31 01:24:52,801 : INFO : PROGRESS: pass 0, at document #3996000/4922894\n", + "2019-01-31 01:24:54,166 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:24:54,433 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.040*\"line\" + 0.030*\"raid\" + 0.028*\"rivièr\" + 0.027*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.014*\"oper\" + 0.010*\"rail\"\n", + "2019-01-31 01:24:54,434 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"tornado\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"horac\" + 0.010*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:24:54,435 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"jame\" + 0.011*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.007*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:24:54,436 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:24:54,437 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:24:54,443 : INFO : topic diff=0.002595, rho=0.022372\n", + "2019-01-31 01:24:54,593 : INFO : PROGRESS: pass 0, at document #3998000/4922894\n", + "2019-01-31 01:24:55,917 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:24:56,183 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:24:56,184 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:24:56,185 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:24:56,186 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:24:56,187 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.023*\"hong\" + 0.022*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.015*\"leah\" + 0.013*\"shirin\"\n", + "2019-01-31 01:24:56,193 : INFO : topic diff=0.003609, rho=0.022366\n", + "2019-01-31 01:24:58,969 : INFO : -11.467 per-word bound, 2831.4 perplexity estimate based on a held-out corpus of 2000 documents with 564962 words\n", + "2019-01-31 01:24:58,970 : INFO : PROGRESS: pass 0, at document #4000000/4922894\n", + "2019-01-31 01:25:00,356 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:00,623 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.022*\"govern\" + 0.021*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:25:00,624 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.019*\"duke\" + 0.019*\"grammat\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.015*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:25:00,625 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:25:00,626 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:25:00,627 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.012*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airbu\"\n", + "2019-01-31 01:25:00,633 : INFO : topic diff=0.003644, rho=0.022361\n", + "2019-01-31 01:25:00,789 : INFO : PROGRESS: pass 0, at document #4002000/4922894\n", + "2019-01-31 01:25:02,147 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:02,413 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"atheist\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:25:02,414 : INFO : topic #45 (0.020): 0.042*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.015*\"exhaust\" + 0.015*\"gai\" + 0.014*\"artist\"\n", + "2019-01-31 01:25:02,416 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:25:02,417 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.040*\"line\" + 0.030*\"raid\" + 0.029*\"rivièr\" + 0.027*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:25:02,418 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.012*\"islam\" + 0.012*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.011*\"sri\" + 0.010*\"affection\"\n", + "2019-01-31 01:25:02,423 : INFO : topic diff=0.003159, rho=0.022355\n", + "2019-01-31 01:25:02,577 : INFO : PROGRESS: pass 0, at document #4004000/4922894\n", + "2019-01-31 01:25:03,935 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:04,201 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:25:04,202 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:25:04,203 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.022*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.014*\"tyrant\" + 0.013*\"czech\"\n", + "2019-01-31 01:25:04,204 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.013*\"septemb\" + 0.011*\"anim\" + 0.011*\"comic\" + 0.010*\"man\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:25:04,205 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"have\" + 0.007*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:25:04,211 : INFO : topic diff=0.003707, rho=0.022350\n", + "2019-01-31 01:25:04,365 : INFO : PROGRESS: pass 0, at document #4006000/4922894\n", + "2019-01-31 01:25:05,729 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:05,996 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.039*\"line\" + 0.030*\"raid\" + 0.029*\"rivièr\" + 0.027*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.014*\"oper\" + 0.011*\"brook\"\n", + "2019-01-31 01:25:05,997 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:25:05,998 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:25:05,999 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"trap\" + 0.006*\"black\"\n", + "2019-01-31 01:25:06,001 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:25:06,006 : INFO : topic diff=0.003550, rho=0.022344\n", + "2019-01-31 01:25:06,162 : INFO : PROGRESS: pass 0, at document #4008000/4922894\n", + "2019-01-31 01:25:07,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:07,800 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.008*\"vacant\" + 0.008*\"lobe\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:25:07,801 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.007*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:25:07,802 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:25:07,804 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"jeremiah\" + 0.009*\"austria\"\n", + "2019-01-31 01:25:07,805 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:25:07,811 : INFO : topic diff=0.002982, rho=0.022338\n", + "2019-01-31 01:25:07,969 : INFO : PROGRESS: pass 0, at document #4010000/4922894\n", + "2019-01-31 01:25:09,346 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:09,613 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:25:09,614 : INFO : topic #45 (0.020): 0.041*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.014*\"exhaust\" + 0.014*\"artist\" + 0.014*\"gai\"\n", + "2019-01-31 01:25:09,615 : INFO : topic #39 (0.020): 0.057*\"canada\" + 0.046*\"canadian\" + 0.026*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"hydrogen\" + 0.016*\"new\" + 0.015*\"novotná\" + 0.014*\"misericordia\" + 0.014*\"quebec\"\n", + "2019-01-31 01:25:09,616 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:25:09,617 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:25:09,623 : INFO : topic diff=0.003590, rho=0.022333\n", + "2019-01-31 01:25:09,778 : INFO : PROGRESS: pass 0, at document #4012000/4922894\n", + "2019-01-31 01:25:11,121 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:11,387 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:25:11,388 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:25:11,389 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.048*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.015*\"sourc\" + 0.015*\"leah\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:25:11,390 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"word\" + 0.012*\"http\"\n", + "2019-01-31 01:25:11,391 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"trap\" + 0.006*\"black\"\n", + "2019-01-31 01:25:11,397 : INFO : topic diff=0.002659, rho=0.022327\n", + "2019-01-31 01:25:11,556 : INFO : PROGRESS: pass 0, at document #4014000/4922894\n", + "2019-01-31 01:25:12,940 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:13,207 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"area\" + 0.016*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.008*\"lobe\" + 0.008*\"vacant\"\n", + "2019-01-31 01:25:13,208 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:25:13,209 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:25:13,210 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.039*\"line\" + 0.030*\"raid\" + 0.028*\"rosenwald\" + 0.028*\"rivièr\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.014*\"oper\" + 0.011*\"brook\"\n", + "2019-01-31 01:25:13,211 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"trap\" + 0.006*\"black\"\n", + "2019-01-31 01:25:13,217 : INFO : topic diff=0.003417, rho=0.022322\n", + "2019-01-31 01:25:13,371 : INFO : PROGRESS: pass 0, at document #4016000/4922894\n", + "2019-01-31 01:25:14,730 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:14,996 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.045*\"vigour\" + 0.035*\"tortur\" + 0.032*\"cotton\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:25:14,997 : INFO : topic #45 (0.020): 0.041*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.019*\"illicit\" + 0.015*\"colder\" + 0.015*\"exhaust\" + 0.014*\"artist\" + 0.014*\"gai\"\n", + "2019-01-31 01:25:14,998 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:25:14,999 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:25:15,000 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:25:15,006 : INFO : topic diff=0.003130, rho=0.022316\n", + "2019-01-31 01:25:15,167 : INFO : PROGRESS: pass 0, at document #4018000/4922894\n", + "2019-01-31 01:25:16,571 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:16,838 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:25:16,839 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:25:16,841 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:25:16,842 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"viru\" + 0.006*\"proper\" + 0.006*\"effect\"\n", + "2019-01-31 01:25:16,842 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:25:16,848 : INFO : topic diff=0.003366, rho=0.022311\n", + "2019-01-31 01:25:19,589 : INFO : -11.564 per-word bound, 3027.2 perplexity estimate based on a held-out corpus of 2000 documents with 600277 words\n", + "2019-01-31 01:25:19,590 : INFO : PROGRESS: pass 0, at document #4020000/4922894\n", + "2019-01-31 01:25:20,989 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:21,256 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.013*\"report\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:25:21,257 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:25:21,258 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.005*\"method\"\n", + "2019-01-31 01:25:21,260 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:25:21,261 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:25:21,267 : INFO : topic diff=0.004216, rho=0.022305\n", + "2019-01-31 01:25:21,424 : INFO : PROGRESS: pass 0, at document #4022000/4922894\n", + "2019-01-31 01:25:22,804 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:23,070 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.072*\"best\" + 0.035*\"yawn\" + 0.027*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:25:23,071 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.020*\"ireland\" + 0.020*\"british\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:25:23,072 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:25:23,074 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.080*\"sens\" + 0.078*\"octob\" + 0.071*\"juli\" + 0.069*\"august\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.067*\"april\" + 0.067*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:25:23,075 : INFO : topic #32 (0.020): 0.048*\"district\" + 0.045*\"vigour\" + 0.045*\"popolo\" + 0.035*\"tortur\" + 0.032*\"cotton\" + 0.026*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:25:23,081 : INFO : topic diff=0.003779, rho=0.022299\n", + "2019-01-31 01:25:23,236 : INFO : PROGRESS: pass 0, at document #4024000/4922894\n", + "2019-01-31 01:25:24,624 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:24,890 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.024*\"hong\" + 0.022*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.016*\"kim\" + 0.015*\"sourc\" + 0.013*\"shirin\"\n", + "2019-01-31 01:25:24,891 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:25:24,893 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"viru\" + 0.006*\"effect\"\n", + "2019-01-31 01:25:24,894 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:25:24,895 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.013*\"septemb\" + 0.011*\"comic\" + 0.010*\"anim\" + 0.010*\"man\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:25:24,901 : INFO : topic diff=0.002904, rho=0.022294\n", + "2019-01-31 01:25:25,060 : INFO : PROGRESS: pass 0, at document #4026000/4922894\n", + "2019-01-31 01:25:26,447 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:26,715 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"tornado\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.012*\"ret\" + 0.011*\"horac\" + 0.010*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:25:26,716 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.006*\"incom\" + 0.006*\"trap\" + 0.006*\"male\"\n", + "2019-01-31 01:25:26,717 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:25:26,718 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"viru\" + 0.006*\"effect\"\n", + "2019-01-31 01:25:26,719 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.021*\"grammat\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.015*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"brazil\" + 0.013*\"portugues\"\n", + "2019-01-31 01:25:26,725 : INFO : topic diff=0.003221, rho=0.022288\n", + "2019-01-31 01:25:26,878 : INFO : PROGRESS: pass 0, at document #4028000/4922894\n", + "2019-01-31 01:25:28,226 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:28,493 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.016*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:25:28,494 : INFO : topic #45 (0.020): 0.041*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.015*\"exhaust\" + 0.015*\"artist\" + 0.015*\"colder\" + 0.014*\"gai\"\n", + "2019-01-31 01:25:28,495 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:25:28,496 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.027*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"alic\" + 0.018*\"atheist\"\n", + "2019-01-31 01:25:28,497 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.020*\"act\" + 0.019*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:25:28,503 : INFO : topic diff=0.004118, rho=0.022283\n", + "2019-01-31 01:25:28,717 : INFO : PROGRESS: pass 0, at document #4030000/4922894\n", + "2019-01-31 01:25:30,100 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:30,367 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.013*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.010*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:25:30,368 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.014*\"blur\" + 0.013*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:25:30,369 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.026*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"ireland\" + 0.020*\"british\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:25:30,370 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.027*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"festiv\" + 0.019*\"women\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:25:30,371 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"armi\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.012*\"refut\"\n", + "2019-01-31 01:25:30,377 : INFO : topic diff=0.003081, rho=0.022277\n", + "2019-01-31 01:25:30,529 : INFO : PROGRESS: pass 0, at document #4032000/4922894\n", + "2019-01-31 01:25:31,874 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:32,140 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:25:32,141 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.025*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.017*\"new\" + 0.016*\"hydrogen\" + 0.015*\"quebec\" + 0.015*\"misericordia\" + 0.014*\"novotná\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:25:32,142 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:25:32,143 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:25:32,144 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:25:32,150 : INFO : topic diff=0.003248, rho=0.022272\n", + "2019-01-31 01:25:32,301 : INFO : PROGRESS: pass 0, at document #4034000/4922894\n", + "2019-01-31 01:25:33,642 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:33,909 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.012*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:25:33,910 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:25:33,911 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"citi\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:25:33,912 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:25:33,913 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"viru\"\n", + "2019-01-31 01:25:33,919 : INFO : topic diff=0.003288, rho=0.022266\n", + "2019-01-31 01:25:34,077 : INFO : PROGRESS: pass 0, at document #4036000/4922894\n", + "2019-01-31 01:25:35,465 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:35,731 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:25:35,732 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.020*\"act\" + 0.019*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:25:35,733 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"driver\" + 0.011*\"ret\" + 0.011*\"horac\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:25:35,734 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.014*\"blur\" + 0.013*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:25:35,735 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:25:35,741 : INFO : topic diff=0.003350, rho=0.022261\n", + "2019-01-31 01:25:35,895 : INFO : PROGRESS: pass 0, at document #4038000/4922894\n", + "2019-01-31 01:25:37,227 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:37,493 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"ireland\" + 0.019*\"british\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:25:37,494 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:25:37,495 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.010*\"sri\" + 0.010*\"affection\"\n", + "2019-01-31 01:25:37,496 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.035*\"new\" + 0.032*\"american\" + 0.028*\"unionist\" + 0.025*\"cotton\" + 0.022*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:25:37,497 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:25:37,503 : INFO : topic diff=0.002925, rho=0.022255\n", + "2019-01-31 01:25:40,142 : INFO : -11.667 per-word bound, 3252.0 perplexity estimate based on a held-out corpus of 2000 documents with 556180 words\n", + "2019-01-31 01:25:40,143 : INFO : PROGRESS: pass 0, at document #4040000/4922894\n", + "2019-01-31 01:25:41,493 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:41,759 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:25:41,760 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"measur\"\n", + "2019-01-31 01:25:41,762 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"comic\" + 0.010*\"man\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:25:41,763 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.010*\"sri\" + 0.010*\"affection\"\n", + "2019-01-31 01:25:41,764 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:25:41,770 : INFO : topic diff=0.003412, rho=0.022250\n", + "2019-01-31 01:25:41,925 : INFO : PROGRESS: pass 0, at document #4042000/4922894\n", + "2019-01-31 01:25:43,281 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:43,547 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.041*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"task\" + 0.009*\"district\" + 0.009*\"gothic\"\n", + "2019-01-31 01:25:43,548 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.047*\"canadian\" + 0.025*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.015*\"quebec\" + 0.015*\"misericordia\" + 0.013*\"novotná\"\n", + "2019-01-31 01:25:43,549 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.019*\"serv\" + 0.016*\"start\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:25:43,550 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:25:43,551 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:25:43,557 : INFO : topic diff=0.003158, rho=0.022244\n", + "2019-01-31 01:25:43,720 : INFO : PROGRESS: pass 0, at document #4044000/4922894\n", + "2019-01-31 01:25:45,141 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:45,408 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:25:45,409 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:25:45,410 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:25:45,411 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"poll\" + 0.010*\"parish\" + 0.009*\"relationship\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:25:45,412 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:25:45,418 : INFO : topic diff=0.004157, rho=0.022239\n", + "2019-01-31 01:25:45,580 : INFO : PROGRESS: pass 0, at document #4046000/4922894\n", + "2019-01-31 01:25:46,947 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:47,214 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"turn\" + 0.006*\"produc\"\n", + "2019-01-31 01:25:47,215 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.013*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:25:47,216 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.021*\"grammat\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.015*\"quarterli\" + 0.014*\"brazil\" + 0.013*\"kingdom\" + 0.013*\"portugues\"\n", + "2019-01-31 01:25:47,216 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.024*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:25:47,218 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.016*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"direct\" + 0.012*\"proclaim\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:25:47,223 : INFO : topic diff=0.003119, rho=0.022233\n", + "2019-01-31 01:25:47,379 : INFO : PROGRESS: pass 0, at document #4048000/4922894\n", + "2019-01-31 01:25:48,749 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:49,015 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"degre\" + 0.012*\"word\"\n", + "2019-01-31 01:25:49,017 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:25:49,018 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.044*\"vigour\" + 0.035*\"tortur\" + 0.032*\"cotton\" + 0.025*\"multitud\" + 0.022*\"area\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:25:49,019 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:25:49,020 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:25:49,026 : INFO : topic diff=0.003227, rho=0.022228\n", + "2019-01-31 01:25:49,183 : INFO : PROGRESS: pass 0, at document #4050000/4922894\n", + "2019-01-31 01:25:50,540 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:50,807 : INFO : topic #17 (0.020): 0.076*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"parish\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:25:50,808 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:25:50,809 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:25:50,810 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:25:50,811 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.011*\"horac\" + 0.011*\"ret\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:25:50,817 : INFO : topic diff=0.003542, rho=0.022222\n", + "2019-01-31 01:25:50,974 : INFO : PROGRESS: pass 0, at document #4052000/4922894\n", + "2019-01-31 01:25:52,330 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:52,597 : INFO : topic #45 (0.020): 0.041*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.021*\"pain\" + 0.021*\"illicit\" + 0.016*\"exhaust\" + 0.015*\"artist\" + 0.015*\"gai\" + 0.014*\"colder\"\n", + "2019-01-31 01:25:52,598 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.020*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.007*\"trap\" + 0.006*\"florida\"\n", + "2019-01-31 01:25:52,599 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"vacant\"\n", + "2019-01-31 01:25:52,601 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"vocabulari\"\n", + "2019-01-31 01:25:52,602 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.008*\"highli\"\n", + "2019-01-31 01:25:52,608 : INFO : topic diff=0.003277, rho=0.022217\n", + "2019-01-31 01:25:52,763 : INFO : PROGRESS: pass 0, at document #4054000/4922894\n", + "2019-01-31 01:25:54,130 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:54,396 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.016*\"warmth\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"palmer\" + 0.008*\"foam\"\n", + "2019-01-31 01:25:54,398 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.016*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:25:54,399 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.047*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.015*\"quebec\" + 0.014*\"misericordia\" + 0.014*\"novotná\"\n", + "2019-01-31 01:25:54,400 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.027*\"jacksonvil\" + 0.023*\"japanes\" + 0.023*\"noll\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:25:54,401 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:25:54,407 : INFO : topic diff=0.003286, rho=0.022211\n", + "2019-01-31 01:25:54,564 : INFO : PROGRESS: pass 0, at document #4056000/4922894\n", + "2019-01-31 01:25:55,921 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:56,187 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"driver\" + 0.012*\"fool\" + 0.011*\"horac\" + 0.011*\"ret\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:25:56,188 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.030*\"priest\" + 0.021*\"grammat\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.015*\"quarterli\" + 0.014*\"brazil\" + 0.013*\"kingdom\" + 0.013*\"portugues\"\n", + "2019-01-31 01:25:56,189 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.022*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.015*\"quebec\" + 0.014*\"misericordia\" + 0.014*\"novotná\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:25:56,190 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.008*\"highli\"\n", + "2019-01-31 01:25:56,191 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.079*\"sens\" + 0.079*\"octob\" + 0.072*\"juli\" + 0.071*\"august\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.068*\"april\" + 0.067*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:25:56,197 : INFO : topic diff=0.002664, rho=0.022206\n", + "2019-01-31 01:25:56,356 : INFO : PROGRESS: pass 0, at document #4058000/4922894\n", + "2019-01-31 01:25:57,775 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:25:58,041 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"servitud\"\n", + "2019-01-31 01:25:58,042 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:25:58,044 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:25:58,045 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:25:58,046 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.035*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.023*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:25:58,051 : INFO : topic diff=0.002453, rho=0.022200\n", + "2019-01-31 01:26:00,758 : INFO : -11.755 per-word bound, 3456.8 perplexity estimate based on a held-out corpus of 2000 documents with 580737 words\n", + "2019-01-31 01:26:00,758 : INFO : PROGRESS: pass 0, at document #4060000/4922894\n", + "2019-01-31 01:26:02,143 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:02,409 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"degre\" + 0.012*\"word\"\n", + "2019-01-31 01:26:02,410 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:26:02,411 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.036*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.023*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:26:02,412 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:26:02,413 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"championship\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.008*\"diggin\"\n", + "2019-01-31 01:26:02,419 : INFO : topic diff=0.003339, rho=0.022195\n", + "2019-01-31 01:26:02,629 : INFO : PROGRESS: pass 0, at document #4062000/4922894\n", + "2019-01-31 01:26:03,994 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:04,261 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:26:04,262 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.016*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:26:04,263 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:26:04,264 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"islam\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"affection\" + 0.010*\"sri\"\n", + "2019-01-31 01:26:04,265 : INFO : topic #26 (0.020): 0.032*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.019*\"atheist\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:26:04,271 : INFO : topic diff=0.003126, rho=0.022189\n", + "2019-01-31 01:26:04,425 : INFO : PROGRESS: pass 0, at document #4064000/4922894\n", + "2019-01-31 01:26:05,763 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:06,030 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.012*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"storag\" + 0.011*\"author\"\n", + "2019-01-31 01:26:06,031 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:26:06,032 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.022*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:26:06,033 : INFO : topic #45 (0.020): 0.041*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.025*\"museo\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.016*\"exhaust\" + 0.015*\"artist\" + 0.015*\"gai\" + 0.014*\"colder\"\n", + "2019-01-31 01:26:06,034 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"direct\" + 0.011*\"proclaim\" + 0.011*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 01:26:06,040 : INFO : topic diff=0.003055, rho=0.022184\n", + "2019-01-31 01:26:06,210 : INFO : PROGRESS: pass 0, at document #4066000/4922894\n", + "2019-01-31 01:26:07,574 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:07,841 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:26:07,842 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.039*\"line\" + 0.031*\"raid\" + 0.029*\"rivièr\" + 0.028*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:26:07,843 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.016*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:26:07,844 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.008*\"highli\"\n", + "2019-01-31 01:26:07,845 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"word\"\n", + "2019-01-31 01:26:07,851 : INFO : topic diff=0.003010, rho=0.022178\n", + "2019-01-31 01:26:08,009 : INFO : PROGRESS: pass 0, at document #4068000/4922894\n", + "2019-01-31 01:26:09,393 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:09,660 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:26:09,661 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.039*\"line\" + 0.031*\"raid\" + 0.029*\"rivièr\" + 0.029*\"rosenwald\" + 0.021*\"airmen\" + 0.019*\"serv\" + 0.017*\"traceabl\" + 0.014*\"oper\" + 0.011*\"transient\"\n", + "2019-01-31 01:26:09,662 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.010*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:26:09,663 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:26:09,664 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:26:09,670 : INFO : topic diff=0.003459, rho=0.022173\n", + "2019-01-31 01:26:09,831 : INFO : PROGRESS: pass 0, at document #4070000/4922894\n", + "2019-01-31 01:26:11,220 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:11,487 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.010*\"anim\" + 0.010*\"man\" + 0.010*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:26:11,488 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.041*\"american\" + 0.031*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.014*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:26:11,489 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.041*\"struggl\" + 0.035*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"start\"\n", + "2019-01-31 01:26:11,490 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 01:26:11,491 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.015*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"brazil\" + 0.012*\"portugues\"\n", + "2019-01-31 01:26:11,497 : INFO : topic diff=0.004236, rho=0.022168\n", + "2019-01-31 01:26:11,656 : INFO : PROGRESS: pass 0, at document #4072000/4922894\n", + "2019-01-31 01:26:13,017 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:13,283 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:26:13,284 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"utopian\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"servitud\"\n", + "2019-01-31 01:26:13,286 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.041*\"struggl\" + 0.034*\"high\" + 0.030*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"task\" + 0.009*\"district\" + 0.009*\"start\"\n", + "2019-01-31 01:26:13,286 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.077*\"octob\" + 0.071*\"juli\" + 0.070*\"august\" + 0.070*\"januari\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.067*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:26:13,287 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"islam\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"affection\" + 0.010*\"sri\"\n", + "2019-01-31 01:26:13,293 : INFO : topic diff=0.002984, rho=0.022162\n", + "2019-01-31 01:26:13,453 : INFO : PROGRESS: pass 0, at document #4074000/4922894\n", + "2019-01-31 01:26:14,881 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:15,149 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.028*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:26:15,149 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.016*\"quarterli\" + 0.013*\"order\" + 0.013*\"kingdom\" + 0.013*\"brazil\"\n", + "2019-01-31 01:26:15,151 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:26:15,152 : INFO : topic #45 (0.020): 0.042*\"arsen\" + 0.029*\"jpg\" + 0.027*\"fifteenth\" + 0.026*\"museo\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.015*\"gai\" + 0.014*\"colder\"\n", + "2019-01-31 01:26:15,153 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.041*\"american\" + 0.031*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.014*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:26:15,159 : INFO : topic diff=0.002967, rho=0.022157\n", + "2019-01-31 01:26:15,315 : INFO : PROGRESS: pass 0, at document #4076000/4922894\n", + "2019-01-31 01:26:16,675 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:16,942 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.034*\"sovereignti\" + 0.034*\"rural\" + 0.027*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.019*\"poland\" + 0.015*\"malaysia\" + 0.014*\"czech\"\n", + "2019-01-31 01:26:16,943 : INFO : topic #48 (0.020): 0.078*\"octob\" + 0.077*\"march\" + 0.077*\"sens\" + 0.068*\"juli\" + 0.068*\"januari\" + 0.068*\"august\" + 0.066*\"notion\" + 0.065*\"april\" + 0.065*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 01:26:16,944 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.019*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 01:26:16,945 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:26:16,946 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.016*\"new\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:26:16,952 : INFO : topic diff=0.004049, rho=0.022151\n", + "2019-01-31 01:26:17,106 : INFO : PROGRESS: pass 0, at document #4078000/4922894\n", + "2019-01-31 01:26:18,452 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:18,719 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:26:18,719 : INFO : topic #48 (0.020): 0.077*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.068*\"juli\" + 0.068*\"august\" + 0.068*\"januari\" + 0.066*\"notion\" + 0.065*\"april\" + 0.064*\"judici\" + 0.062*\"decatur\"\n", + "2019-01-31 01:26:18,721 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.012*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:26:18,722 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:26:18,723 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.033*\"incumb\" + 0.014*\"pakistan\" + 0.012*\"islam\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.010*\"affection\" + 0.010*\"sri\"\n", + "2019-01-31 01:26:18,729 : INFO : topic diff=0.003817, rho=0.022146\n", + "2019-01-31 01:26:21,367 : INFO : -11.815 per-word bound, 3603.7 perplexity estimate based on a held-out corpus of 2000 documents with 532709 words\n", + "2019-01-31 01:26:21,368 : INFO : PROGRESS: pass 0, at document #4080000/4922894\n", + "2019-01-31 01:26:22,830 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:23,097 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"horac\" + 0.011*\"find\" + 0.010*\"ret\" + 0.010*\"théori\"\n", + "2019-01-31 01:26:23,098 : INFO : topic #22 (0.020): 0.035*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"florida\" + 0.006*\"trap\"\n", + "2019-01-31 01:26:23,099 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.021*\"new\" + 0.017*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:26:23,101 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.036*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.023*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:26:23,102 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.034*\"rural\" + 0.034*\"sovereignti\" + 0.027*\"poison\" + 0.026*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.019*\"poland\" + 0.015*\"malaysia\" + 0.014*\"czech\"\n", + "2019-01-31 01:26:23,108 : INFO : topic diff=0.003375, rho=0.022140\n", + "2019-01-31 01:26:23,265 : INFO : PROGRESS: pass 0, at document #4082000/4922894\n", + "2019-01-31 01:26:24,630 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:24,896 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.016*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"order\" + 0.013*\"brazil\"\n", + "2019-01-31 01:26:24,897 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.073*\"best\" + 0.033*\"yawn\" + 0.026*\"jacksonvil\" + 0.022*\"noll\" + 0.022*\"japanes\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.016*\"intern\" + 0.015*\"prison\"\n", + "2019-01-31 01:26:24,899 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:26:24,900 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.022*\"govern\" + 0.020*\"member\" + 0.018*\"serv\" + 0.016*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:26:24,901 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.012*\"life\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:26:24,907 : INFO : topic diff=0.003500, rho=0.022135\n", + "2019-01-31 01:26:25,069 : INFO : PROGRESS: pass 0, at document #4084000/4922894\n", + "2019-01-31 01:26:26,492 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:26,759 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.022*\"act\" + 0.019*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:26:26,760 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:26:26,761 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:26:26,762 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.035*\"new\" + 0.032*\"american\" + 0.028*\"unionist\" + 0.025*\"cotton\" + 0.023*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:26:26,764 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:26:26,769 : INFO : topic diff=0.004004, rho=0.022130\n", + "2019-01-31 01:26:26,927 : INFO : PROGRESS: pass 0, at document #4086000/4922894\n", + "2019-01-31 01:26:28,299 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:28,566 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.013*\"liber\"\n", + "2019-01-31 01:26:28,567 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:26:28,568 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.021*\"spain\" + 0.018*\"del\" + 0.016*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:26:28,569 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.017*\"leah\" + 0.016*\"korean\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:26:28,570 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"austria\" + 0.008*\"europ\"\n", + "2019-01-31 01:26:28,576 : INFO : topic diff=0.003410, rho=0.022124\n", + "2019-01-31 01:26:28,727 : INFO : PROGRESS: pass 0, at document #4088000/4922894\n", + "2019-01-31 01:26:30,080 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:30,347 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:26:30,348 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:26:30,349 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"utopian\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.005*\"servitud\"\n", + "2019-01-31 01:26:30,350 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.024*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:26:30,351 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.073*\"best\" + 0.033*\"yawn\" + 0.026*\"jacksonvil\" + 0.022*\"noll\" + 0.022*\"japanes\" + 0.019*\"women\" + 0.019*\"festiv\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:26:30,357 : INFO : topic diff=0.003410, rho=0.022119\n", + "2019-01-31 01:26:30,513 : INFO : PROGRESS: pass 0, at document #4090000/4922894\n", + "2019-01-31 01:26:31,876 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:32,143 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:26:32,144 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:26:32,145 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"open\" + 0.013*\"martin\"\n", + "2019-01-31 01:26:32,146 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.033*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"english\" + 0.017*\"folei\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:26:32,148 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.013*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:26:32,154 : INFO : topic diff=0.003523, rho=0.022113\n", + "2019-01-31 01:26:32,316 : INFO : PROGRESS: pass 0, at document #4092000/4922894\n", + "2019-01-31 01:26:33,704 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:33,971 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.014*\"norwai\" + 0.014*\"norwegian\" + 0.013*\"treeless\" + 0.013*\"damag\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:26:33,972 : INFO : topic #36 (0.020): 0.012*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"championship\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"user\"\n", + "2019-01-31 01:26:33,973 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:26:33,975 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.012*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 01:26:33,976 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:26:33,982 : INFO : topic diff=0.002838, rho=0.022108\n", + "2019-01-31 01:26:34,139 : INFO : PROGRESS: pass 0, at document #4094000/4922894\n", + "2019-01-31 01:26:35,513 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:35,780 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"blur\" + 0.012*\"pope\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"fleet\" + 0.009*\"bahá\"\n", + "2019-01-31 01:26:35,781 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"degre\" + 0.012*\"word\"\n", + "2019-01-31 01:26:35,782 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:26:35,784 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:26:35,785 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:26:35,790 : INFO : topic diff=0.003079, rho=0.022102\n", + "2019-01-31 01:26:36,004 : INFO : PROGRESS: pass 0, at document #4096000/4922894\n", + "2019-01-31 01:26:37,356 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:37,622 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:26:37,624 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.009*\"hormon\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:26:37,625 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"spectacl\" + 0.006*\"turn\"\n", + "2019-01-31 01:26:37,626 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"jame\" + 0.011*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:26:37,627 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.018*\"duke\" + 0.018*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.016*\"quarterli\" + 0.013*\"brazil\" + 0.013*\"kingdom\" + 0.013*\"order\"\n", + "2019-01-31 01:26:37,633 : INFO : topic diff=0.003419, rho=0.022097\n", + "2019-01-31 01:26:37,786 : INFO : PROGRESS: pass 0, at document #4098000/4922894\n", + "2019-01-31 01:26:39,124 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:39,390 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"vision\"\n", + "2019-01-31 01:26:39,391 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.029*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:26:39,393 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.022*\"kong\" + 0.020*\"korea\" + 0.016*\"leah\" + 0.016*\"korean\" + 0.015*\"sourc\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:26:39,394 : INFO : topic #26 (0.020): 0.031*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.023*\"medal\" + 0.022*\"men\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"nation\" + 0.017*\"atheist\"\n", + "2019-01-31 01:26:39,395 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:26:39,401 : INFO : topic diff=0.003625, rho=0.022092\n", + "2019-01-31 01:26:42,073 : INFO : -11.457 per-word bound, 2810.3 perplexity estimate based on a held-out corpus of 2000 documents with 559757 words\n", + "2019-01-31 01:26:42,074 : INFO : PROGRESS: pass 0, at document #4100000/4922894\n", + "2019-01-31 01:26:43,444 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:43,711 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.035*\"new\" + 0.032*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.016*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.011*\"citi\"\n", + "2019-01-31 01:26:43,712 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.021*\"act\" + 0.019*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:26:43,713 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.005*\"method\"\n", + "2019-01-31 01:26:43,714 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"offic\" + 0.025*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.020*\"member\" + 0.017*\"serv\" + 0.016*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:26:43,715 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:26:43,721 : INFO : topic diff=0.003450, rho=0.022086\n", + "2019-01-31 01:26:43,877 : INFO : PROGRESS: pass 0, at document #4102000/4922894\n", + "2019-01-31 01:26:45,235 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:45,505 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.009*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:26:45,506 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:26:45,508 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 01:26:45,509 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:26:45,510 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.006*\"develop\" + 0.006*\"spectacl\" + 0.006*\"turn\"\n", + "2019-01-31 01:26:45,516 : INFO : topic diff=0.003131, rho=0.022081\n", + "2019-01-31 01:26:45,671 : INFO : PROGRESS: pass 0, at document #4104000/4922894\n", + "2019-01-31 01:26:47,035 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:47,301 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.008*\"championship\" + 0.007*\"user\"\n", + "2019-01-31 01:26:47,303 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.045*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.016*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:26:47,304 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"hormon\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:26:47,305 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.024*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:26:47,306 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.015*\"bypass\" + 0.014*\"seaport\" + 0.013*\"report\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:26:47,312 : INFO : topic diff=0.003904, rho=0.022076\n", + "2019-01-31 01:26:47,472 : INFO : PROGRESS: pass 0, at document #4106000/4922894\n", + "2019-01-31 01:26:48,860 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:49,127 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:26:49,128 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.040*\"line\" + 0.032*\"raid\" + 0.027*\"rosenwald\" + 0.027*\"rivièr\" + 0.019*\"airmen\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:26:49,129 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.042*\"american\" + 0.032*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"folei\" + 0.017*\"english\" + 0.014*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:26:49,130 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:26:49,131 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:26:49,137 : INFO : topic diff=0.003090, rho=0.022070\n", + "2019-01-31 01:26:49,300 : INFO : PROGRESS: pass 0, at document #4108000/4922894\n", + "2019-01-31 01:26:50,693 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:50,959 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.005*\"servitud\"\n", + "2019-01-31 01:26:50,961 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"start\" + 0.009*\"gothic\"\n", + "2019-01-31 01:26:50,962 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"wind\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.015*\"damag\" + 0.014*\"norwai\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:26:50,963 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:26:50,964 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:26:50,970 : INFO : topic diff=0.003497, rho=0.022065\n", + "2019-01-31 01:26:51,123 : INFO : PROGRESS: pass 0, at document #4110000/4922894\n", + "2019-01-31 01:26:52,462 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:52,728 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.024*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:26:52,729 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:26:52,731 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:26:52,732 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:26:52,733 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 01:26:52,738 : INFO : topic diff=0.003606, rho=0.022059\n", + "2019-01-31 01:26:52,893 : INFO : PROGRESS: pass 0, at document #4112000/4922894\n", + "2019-01-31 01:26:54,255 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:54,521 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:26:54,523 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 01:26:54,524 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.024*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"parish\" + 0.010*\"relationship\" + 0.009*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:26:54,525 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"martin\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:26:54,526 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.016*\"rotterdam\" + 0.014*\"kingdom\" + 0.013*\"order\" + 0.013*\"brazil\"\n", + "2019-01-31 01:26:54,532 : INFO : topic diff=0.002802, rho=0.022054\n", + "2019-01-31 01:26:54,691 : INFO : PROGRESS: pass 0, at document #4114000/4922894\n", + "2019-01-31 01:26:56,077 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:56,344 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:26:56,345 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:26:56,346 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:26:56,347 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.037*\"sovereignti\" + 0.034*\"rural\" + 0.027*\"poison\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"malaysia\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:26:56,348 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.016*\"rotterdam\" + 0.014*\"kingdom\" + 0.013*\"order\" + 0.012*\"brazil\"\n", + "2019-01-31 01:26:56,354 : INFO : topic diff=0.003099, rho=0.022049\n", + "2019-01-31 01:26:56,510 : INFO : PROGRESS: pass 0, at document #4116000/4922894\n", + "2019-01-31 01:26:57,882 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:26:58,149 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:26:58,150 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:26:58,151 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"fool\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.011*\"horac\" + 0.010*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:26:58,152 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.042*\"american\" + 0.031*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"folei\" + 0.017*\"english\" + 0.014*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:26:58,153 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:26:58,159 : INFO : topic diff=0.003225, rho=0.022043\n", + "2019-01-31 01:26:58,314 : INFO : PROGRESS: pass 0, at document #4118000/4922894\n", + "2019-01-31 01:26:59,661 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:26:59,928 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"march\" + 0.077*\"octob\" + 0.070*\"august\" + 0.070*\"juli\" + 0.068*\"januari\" + 0.066*\"april\" + 0.066*\"notion\" + 0.065*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 01:26:59,929 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:26:59,930 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:26:59,931 : INFO : topic #45 (0.020): 0.042*\"arsen\" + 0.029*\"jpg\" + 0.027*\"fifteenth\" + 0.027*\"museo\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.015*\"artist\" + 0.015*\"exhaust\" + 0.015*\"gai\" + 0.014*\"colder\"\n", + "2019-01-31 01:26:59,932 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.020*\"grammat\" + 0.018*\"duke\" + 0.017*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.016*\"rotterdam\" + 0.014*\"order\" + 0.014*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:26:59,938 : INFO : topic diff=0.003159, rho=0.022038\n", + "2019-01-31 01:27:02,676 : INFO : -11.624 per-word bound, 3155.6 perplexity estimate based on a held-out corpus of 2000 documents with 580547 words\n", + "2019-01-31 01:27:02,677 : INFO : PROGRESS: pass 0, at document #4120000/4922894\n", + "2019-01-31 01:27:04,067 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:04,334 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"incom\" + 0.007*\"trap\"\n", + "2019-01-31 01:27:04,335 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"start\" + 0.009*\"class\"\n", + "2019-01-31 01:27:04,336 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.021*\"ontario\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:27:04,337 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.023*\"hong\" + 0.023*\"kong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:27:04,338 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 01:27:04,344 : INFO : topic diff=0.003187, rho=0.022033\n", + "2019-01-31 01:27:04,510 : INFO : PROGRESS: pass 0, at document #4122000/4922894\n", + "2019-01-31 01:27:05,887 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:06,153 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 01:27:06,154 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.020*\"act\" + 0.019*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:27:06,155 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"pour\" + 0.014*\"depress\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.006*\"spectacl\" + 0.006*\"develop\" + 0.006*\"turn\"\n", + "2019-01-31 01:27:06,157 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.011*\"word\"\n", + "2019-01-31 01:27:06,157 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"damag\" + 0.016*\"wind\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.014*\"norwai\" + 0.013*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:27:06,163 : INFO : topic diff=0.003280, rho=0.022027\n", + "2019-01-31 01:27:06,321 : INFO : PROGRESS: pass 0, at document #4124000/4922894\n", + "2019-01-31 01:27:07,722 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:07,989 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:27:07,990 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.072*\"best\" + 0.035*\"yawn\" + 0.026*\"jacksonvil\" + 0.022*\"noll\" + 0.021*\"japanes\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:27:07,991 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:27:07,992 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"servitud\"\n", + "2019-01-31 01:27:07,993 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"class\" + 0.009*\"start\"\n", + "2019-01-31 01:27:07,999 : INFO : topic diff=0.003621, rho=0.022022\n", + "2019-01-31 01:27:08,212 : INFO : PROGRESS: pass 0, at document #4126000/4922894\n", + "2019-01-31 01:27:09,571 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:09,838 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"wind\" + 0.016*\"damag\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.014*\"norwai\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.012*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:27:09,839 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:27:09,840 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.006*\"develop\" + 0.006*\"spectacl\" + 0.006*\"turn\"\n", + "2019-01-31 01:27:09,841 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.010*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:27:09,842 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.006*\"citi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:27:09,849 : INFO : topic diff=0.003488, rho=0.022017\n", + "2019-01-31 01:27:10,003 : INFO : PROGRESS: pass 0, at document #4128000/4922894\n", + "2019-01-31 01:27:11,364 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:11,631 : INFO : topic #47 (0.020): 0.061*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:27:11,632 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.025*\"personifi\" + 0.023*\"reprint\" + 0.021*\"moscow\" + 0.019*\"poland\" + 0.015*\"unfortun\" + 0.015*\"malaysia\"\n", + "2019-01-31 01:27:11,633 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:27:11,634 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"walter\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:27:11,635 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.007*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:27:11,642 : INFO : topic diff=0.002884, rho=0.022011\n", + "2019-01-31 01:27:11,797 : INFO : PROGRESS: pass 0, at document #4130000/4922894\n", + "2019-01-31 01:27:13,163 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:27:13,429 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"parish\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:27:13,430 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"proclaim\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:27:13,431 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"lizard\"\n", + "2019-01-31 01:27:13,432 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:27:13,433 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"wind\" + 0.015*\"damag\" + 0.015*\"sweden\" + 0.014*\"swedish\" + 0.014*\"norwai\" + 0.013*\"norwegian\" + 0.012*\"huntsvil\" + 0.012*\"treeless\" + 0.010*\"denmark\"\n", + "2019-01-31 01:27:13,439 : INFO : topic diff=0.002967, rho=0.022006\n", + "2019-01-31 01:27:13,593 : INFO : PROGRESS: pass 0, at document #4132000/4922894\n", + "2019-01-31 01:27:14,973 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:15,239 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:27:15,240 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"storag\"\n", + "2019-01-31 01:27:15,242 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:27:15,242 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:27:15,243 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:27:15,249 : INFO : topic diff=0.003301, rho=0.022001\n", + "2019-01-31 01:27:15,405 : INFO : PROGRESS: pass 0, at document #4134000/4922894\n", + "2019-01-31 01:27:16,800 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:17,066 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 01:27:17,067 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.039*\"line\" + 0.031*\"raid\" + 0.028*\"rivièr\" + 0.027*\"rosenwald\" + 0.019*\"serv\" + 0.018*\"airmen\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:27:17,069 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:27:17,070 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 01:27:17,070 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.046*\"chilton\" + 0.025*\"kong\" + 0.024*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.015*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:27:17,076 : INFO : topic diff=0.002866, rho=0.021995\n", + "2019-01-31 01:27:17,241 : INFO : PROGRESS: pass 0, at document #4136000/4922894\n", + "2019-01-31 01:27:18,643 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:18,912 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.013*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"storag\"\n", + "2019-01-31 01:27:18,913 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.016*\"rotterdam\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"order\" + 0.013*\"maria\"\n", + "2019-01-31 01:27:18,914 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:27:18,915 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:27:18,916 : INFO : topic #45 (0.020): 0.043*\"arsen\" + 0.028*\"jpg\" + 0.027*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:27:18,922 : INFO : topic diff=0.003440, rho=0.021990\n", + "2019-01-31 01:27:19,085 : INFO : PROGRESS: pass 0, at document #4138000/4922894\n", + "2019-01-31 01:27:20,452 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:20,722 : INFO : topic #45 (0.020): 0.043*\"arsen\" + 0.029*\"jpg\" + 0.027*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.014*\"colder\"\n", + "2019-01-31 01:27:20,723 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:27:20,724 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.012*\"degre\"\n", + "2019-01-31 01:27:20,725 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.011*\"deal\"\n", + "2019-01-31 01:27:20,726 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 01:27:20,732 : INFO : topic diff=0.003346, rho=0.021985\n", + "2019-01-31 01:27:23,382 : INFO : -11.737 per-word bound, 3412.4 perplexity estimate based on a held-out corpus of 2000 documents with 518973 words\n", + "2019-01-31 01:27:23,382 : INFO : PROGRESS: pass 0, at document #4140000/4922894\n", + "2019-01-31 01:27:24,751 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:25,020 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.019*\"taxpay\" + 0.018*\"nation\" + 0.017*\"atheist\"\n", + "2019-01-31 01:27:25,021 : INFO : topic #9 (0.020): 0.068*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"polit\" + 0.017*\"folei\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 01:27:25,022 : INFO : topic #0 (0.020): 0.065*\"statewid\" + 0.039*\"line\" + 0.031*\"raid\" + 0.028*\"rivièr\" + 0.027*\"rosenwald\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.018*\"airmen\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:27:25,023 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"selma\" + 0.013*\"seaport\"\n", + "2019-01-31 01:27:25,024 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.020*\"grammat\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.016*\"quarterli\" + 0.016*\"rotterdam\" + 0.014*\"kingdom\" + 0.013*\"order\" + 0.013*\"maria\"\n", + "2019-01-31 01:27:25,030 : INFO : topic diff=0.002973, rho=0.021979\n", + "2019-01-31 01:27:25,189 : INFO : PROGRESS: pass 0, at document #4142000/4922894\n", + "2019-01-31 01:27:26,554 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:27:26,820 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"walter\" + 0.021*\"armi\" + 0.019*\"com\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:27:26,822 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.011*\"anim\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:27:26,823 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.020*\"act\" + 0.019*\"start\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:27:26,824 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"incom\" + 0.007*\"trap\"\n", + "2019-01-31 01:27:26,824 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.021*\"ontario\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"hydrogen\" + 0.014*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 01:27:26,830 : INFO : topic diff=0.003530, rho=0.021974\n", + "2019-01-31 01:27:26,986 : INFO : PROGRESS: pass 0, at document #4144000/4922894\n", + "2019-01-31 01:27:28,370 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:28,636 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:27:28,637 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"wind\" + 0.015*\"damag\" + 0.015*\"sweden\" + 0.014*\"norwai\" + 0.014*\"swedish\" + 0.013*\"norwegian\" + 0.011*\"huntsvil\" + 0.011*\"treeless\" + 0.010*\"denmark\"\n", + "2019-01-31 01:27:28,639 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"daughter\"\n", + "2019-01-31 01:27:28,640 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.011*\"anim\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:27:28,641 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.014*\"der\" + 0.013*\"israel\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:27:28,647 : INFO : topic diff=0.003527, rho=0.021969\n", + "2019-01-31 01:27:28,804 : INFO : PROGRESS: pass 0, at document #4146000/4922894\n", + "2019-01-31 01:27:30,173 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:30,439 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.011*\"horac\" + 0.010*\"find\" + 0.010*\"squatter\"\n", + "2019-01-31 01:27:30,440 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:27:30,441 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.010*\"alam\"\n", + "2019-01-31 01:27:30,442 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"area\"\n", + "2019-01-31 01:27:30,443 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"palmer\"\n", + "2019-01-31 01:27:30,449 : INFO : topic diff=0.003766, rho=0.021963\n", + "2019-01-31 01:27:30,609 : INFO : PROGRESS: pass 0, at document #4148000/4922894\n", + "2019-01-31 01:27:32,006 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:32,272 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:27:32,273 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.011*\"anim\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.006*\"vision\"\n", + "2019-01-31 01:27:32,274 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"http\" + 0.012*\"word\" + 0.012*\"degre\"\n", + "2019-01-31 01:27:32,275 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.008*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:27:32,276 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.007*\"rhyme\" + 0.007*\"georg\" + 0.007*\"paul\"\n", + "2019-01-31 01:27:32,282 : INFO : topic diff=0.003889, rho=0.021958\n", + "2019-01-31 01:27:32,447 : INFO : PROGRESS: pass 0, at document #4150000/4922894\n", + "2019-01-31 01:27:33,828 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:34,098 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:27:34,099 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.045*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.021*\"ontario\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"misericordia\" + 0.014*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 01:27:34,101 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:27:34,102 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"area\"\n", + "2019-01-31 01:27:34,102 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.024*\"multitud\" + 0.021*\"area\" + 0.021*\"adulthood\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:27:34,108 : INFO : topic diff=0.003091, rho=0.021953\n", + "2019-01-31 01:27:34,266 : INFO : PROGRESS: pass 0, at document #4152000/4922894\n", + "2019-01-31 01:27:35,657 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:35,924 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:27:35,925 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.039*\"line\" + 0.031*\"raid\" + 0.027*\"rivièr\" + 0.026*\"rosenwald\" + 0.023*\"airmen\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:27:35,926 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.071*\"best\" + 0.034*\"yawn\" + 0.027*\"jacksonvil\" + 0.023*\"noll\" + 0.022*\"japanes\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:27:35,927 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.079*\"march\" + 0.078*\"octob\" + 0.071*\"juli\" + 0.071*\"august\" + 0.071*\"januari\" + 0.068*\"notion\" + 0.067*\"april\" + 0.066*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:27:35,928 : INFO : topic #24 (0.020): 0.039*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.019*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:27:35,934 : INFO : topic diff=0.003224, rho=0.021948\n", + "2019-01-31 01:27:36,095 : INFO : PROGRESS: pass 0, at document #4154000/4922894\n", + "2019-01-31 01:27:37,492 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:37,759 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"proclaim\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:27:37,760 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"televis\" + 0.012*\"pakistan\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.010*\"sri\"\n", + "2019-01-31 01:27:37,761 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.014*\"martin\" + 0.013*\"open\"\n", + "2019-01-31 01:27:37,762 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"palmer\"\n", + "2019-01-31 01:27:37,763 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.019*\"taxpay\" + 0.018*\"nation\" + 0.017*\"atheist\"\n", + "2019-01-31 01:27:37,769 : INFO : topic diff=0.003359, rho=0.021942\n", + "2019-01-31 01:27:37,926 : INFO : PROGRESS: pass 0, at document #4156000/4922894\n", + "2019-01-31 01:27:39,312 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:39,578 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.029*\"valour\" + 0.020*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 01:27:39,579 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:27:39,580 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:27:39,582 : INFO : topic #0 (0.020): 0.064*\"statewid\" + 0.040*\"line\" + 0.031*\"raid\" + 0.027*\"rivièr\" + 0.026*\"rosenwald\" + 0.023*\"airmen\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:27:39,583 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.011*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.008*\"championship\" + 0.007*\"user\"\n", + "2019-01-31 01:27:39,588 : INFO : topic diff=0.002757, rho=0.021937\n", + "2019-01-31 01:27:39,800 : INFO : PROGRESS: pass 0, at document #4158000/4922894\n", + "2019-01-31 01:27:41,147 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:41,414 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 01:27:41,415 : INFO : topic #45 (0.020): 0.043*\"arsen\" + 0.029*\"jpg\" + 0.027*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:27:41,417 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"local\"\n", + "2019-01-31 01:27:41,418 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.026*\"kong\" + 0.025*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"shirin\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 01:27:41,419 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"ret\" + 0.011*\"find\" + 0.011*\"horac\" + 0.010*\"squatter\"\n", + "2019-01-31 01:27:41,426 : INFO : topic diff=0.003258, rho=0.021932\n", + "2019-01-31 01:27:44,081 : INFO : -11.643 per-word bound, 3198.3 perplexity estimate based on a held-out corpus of 2000 documents with 541281 words\n", + "2019-01-31 01:27:44,082 : INFO : PROGRESS: pass 0, at document #4160000/4922894\n", + "2019-01-31 01:27:45,451 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:45,718 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.015*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:27:45,719 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"lobe\"\n", + "2019-01-31 01:27:45,720 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:27:45,721 : INFO : topic #45 (0.020): 0.043*\"arsen\" + 0.029*\"jpg\" + 0.027*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.016*\"exhaust\" + 0.016*\"artist\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:27:45,722 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"field\"\n", + "2019-01-31 01:27:45,728 : INFO : topic diff=0.003244, rho=0.021926\n", + "2019-01-31 01:27:45,884 : INFO : PROGRESS: pass 0, at document #4162000/4922894\n", + "2019-01-31 01:27:47,264 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:47,534 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:27:47,535 : INFO : topic #47 (0.020): 0.062*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:27:47,536 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.013*\"toyota\" + 0.013*\"charcoal\" + 0.010*\"myspac\"\n", + "2019-01-31 01:27:47,537 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.009*\"relationship\" + 0.009*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:27:47,538 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.015*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:27:47,544 : INFO : topic diff=0.003101, rho=0.021921\n", + "2019-01-31 01:27:47,700 : INFO : PROGRESS: pass 0, at document #4164000/4922894\n", + "2019-01-31 01:27:49,057 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:49,324 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.026*\"kong\" + 0.025*\"hong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.015*\"shirin\" + 0.015*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 01:27:49,325 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:27:49,326 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.013*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.006*\"trap\" + 0.006*\"incom\"\n", + "2019-01-31 01:27:49,327 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"class\" + 0.009*\"gothic\" + 0.009*\"district\"\n", + "2019-01-31 01:27:49,328 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:27:49,334 : INFO : topic diff=0.003037, rho=0.021916\n", + "2019-01-31 01:27:49,492 : INFO : PROGRESS: pass 0, at document #4166000/4922894\n", + "2019-01-31 01:27:50,877 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:51,143 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.015*\"norwai\" + 0.015*\"sweden\" + 0.014*\"wind\" + 0.014*\"damag\" + 0.014*\"swedish\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.012*\"huntsvil\" + 0.010*\"denmark\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:27:51,144 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:27:51,145 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.014*\"ret\" + 0.012*\"driver\" + 0.012*\"horac\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"squatter\"\n", + "2019-01-31 01:27:51,147 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:27:51,147 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:27:51,153 : INFO : topic diff=0.003395, rho=0.021911\n", + "2019-01-31 01:27:51,308 : INFO : PROGRESS: pass 0, at document #4168000/4922894\n", + "2019-01-31 01:27:52,676 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:52,942 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:27:52,943 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.016*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:27:52,944 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.020*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.017*\"english\" + 0.014*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 01:27:52,946 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"championship\"\n", + "2019-01-31 01:27:52,947 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"nation\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:27:52,953 : INFO : topic diff=0.003222, rho=0.021905\n", + "2019-01-31 01:27:53,110 : INFO : PROGRESS: pass 0, at document #4170000/4922894\n", + "2019-01-31 01:27:54,521 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:54,788 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"cathedr\" + 0.009*\"historiographi\"\n", + "2019-01-31 01:27:54,789 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.017*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:27:54,790 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.014*\"ret\" + 0.012*\"driver\" + 0.012*\"horac\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"squatter\"\n", + "2019-01-31 01:27:54,791 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:27:54,793 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"vacant\"\n", + "2019-01-31 01:27:54,798 : INFO : topic diff=0.003274, rho=0.021900\n", + "2019-01-31 01:27:54,952 : INFO : PROGRESS: pass 0, at document #4172000/4922894\n", + "2019-01-31 01:27:56,313 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:56,580 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"championship\" + 0.007*\"includ\"\n", + "2019-01-31 01:27:56,581 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.016*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:27:56,582 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.032*\"priest\" + 0.019*\"grammat\" + 0.018*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"order\" + 0.013*\"portugues\"\n", + "2019-01-31 01:27:56,583 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.011*\"citi\"\n", + "2019-01-31 01:27:56,584 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"field\"\n", + "2019-01-31 01:27:56,590 : INFO : topic diff=0.002931, rho=0.021895\n", + "2019-01-31 01:27:56,750 : INFO : PROGRESS: pass 0, at document #4174000/4922894\n", + "2019-01-31 01:27:58,138 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:27:58,408 : INFO : topic #21 (0.020): 0.033*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.018*\"italian\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:27:58,409 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:27:58,410 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:27:58,411 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.013*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"florida\" + 0.007*\"incom\"\n", + "2019-01-31 01:27:58,412 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.036*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:27:58,418 : INFO : topic diff=0.002811, rho=0.021890\n", + "2019-01-31 01:27:58,574 : INFO : PROGRESS: pass 0, at document #4176000/4922894\n", + "2019-01-31 01:27:59,946 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:00,213 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:28:00,214 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:28:00,215 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.027*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:28:00,216 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.078*\"octob\" + 0.078*\"march\" + 0.071*\"juli\" + 0.071*\"august\" + 0.070*\"januari\" + 0.067*\"notion\" + 0.066*\"judici\" + 0.066*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:28:00,217 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.041*\"line\" + 0.031*\"raid\" + 0.028*\"rivièr\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.019*\"serv\" + 0.019*\"traceabl\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:28:00,223 : INFO : topic diff=0.003335, rho=0.021884\n", + "2019-01-31 01:28:00,385 : INFO : PROGRESS: pass 0, at document #4178000/4922894\n", + "2019-01-31 01:28:01,813 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:02,079 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"wander\"\n", + "2019-01-31 01:28:02,081 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"workplac\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:28:02,082 : INFO : topic #27 (0.020): 0.073*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.013*\"ret\" + 0.012*\"horac\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:28:02,083 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.024*\"wife\" + 0.022*\"tourist\" + 0.020*\"champion\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"open\"\n", + "2019-01-31 01:28:02,084 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:28:02,090 : INFO : topic diff=0.002943, rho=0.021879\n", + "2019-01-31 01:28:04,807 : INFO : -11.514 per-word bound, 2925.5 perplexity estimate based on a held-out corpus of 2000 documents with 561329 words\n", + "2019-01-31 01:28:04,808 : INFO : PROGRESS: pass 0, at document #4180000/4922894\n", + "2019-01-31 01:28:06,186 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:06,453 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.013*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:28:06,454 : INFO : topic #43 (0.020): 0.068*\"elect\" + 0.053*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.015*\"conserv\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 01:28:06,455 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"carlo\"\n", + "2019-01-31 01:28:06,456 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:28:06,457 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:28:06,462 : INFO : topic diff=0.002960, rho=0.021874\n", + "2019-01-31 01:28:06,617 : INFO : PROGRESS: pass 0, at document #4182000/4922894\n", + "2019-01-31 01:28:07,956 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:08,223 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:28:08,224 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:28:08,225 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:28:08,226 : INFO : topic #39 (0.020): 0.062*\"canada\" + 0.046*\"canadian\" + 0.024*\"hoar\" + 0.024*\"toronto\" + 0.020*\"ontario\" + 0.015*\"quebec\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"hydrogen\" + 0.013*\"novotná\"\n", + "2019-01-31 01:28:08,227 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"field\" + 0.006*\"servitud\"\n", + "2019-01-31 01:28:08,233 : INFO : topic diff=0.003073, rho=0.021869\n", + "2019-01-31 01:28:08,391 : INFO : PROGRESS: pass 0, at document #4184000/4922894\n", + "2019-01-31 01:28:09,769 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:10,036 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.028*\"final\" + 0.023*\"wife\" + 0.022*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"taxpay\" + 0.013*\"open\"\n", + "2019-01-31 01:28:10,037 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.010*\"affection\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:28:10,038 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.036*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.024*\"poison\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.016*\"malaysia\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:28:10,039 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:28:10,040 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:28:10,046 : INFO : topic diff=0.003508, rho=0.021863\n", + "2019-01-31 01:28:10,205 : INFO : PROGRESS: pass 0, at document #4186000/4922894\n", + "2019-01-31 01:28:11,590 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:11,857 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"collector\" + 0.021*\"institut\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:28:11,858 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.046*\"franc\" + 0.030*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:28:11,860 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.011*\"citi\"\n", + "2019-01-31 01:28:11,861 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.041*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"gothic\" + 0.009*\"district\" + 0.009*\"task\"\n", + "2019-01-31 01:28:11,862 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.006*\"trap\" + 0.006*\"florida\"\n", + "2019-01-31 01:28:11,868 : INFO : topic diff=0.003025, rho=0.021858\n", + "2019-01-31 01:28:12,029 : INFO : PROGRESS: pass 0, at document #4188000/4922894\n", + "2019-01-31 01:28:13,914 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:14,180 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.013*\"ret\" + 0.012*\"horac\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"théori\"\n", + "2019-01-31 01:28:14,181 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.026*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.015*\"shirin\" + 0.015*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 01:28:14,182 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"nation\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:28:14,183 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:28:14,184 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:28:14,190 : INFO : topic diff=0.003308, rho=0.021853\n", + "2019-01-31 01:28:14,346 : INFO : PROGRESS: pass 0, at document #4190000/4922894\n", + "2019-01-31 01:28:15,753 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:16,021 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.040*\"line\" + 0.031*\"raid\" + 0.029*\"rivièr\" + 0.027*\"rosenwald\" + 0.022*\"airmen\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:28:16,022 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.038*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.024*\"poison\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.016*\"malaysia\" + 0.015*\"unfortun\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:28:16,023 : INFO : topic #43 (0.020): 0.069*\"elect\" + 0.053*\"parti\" + 0.024*\"democrat\" + 0.024*\"voluntari\" + 0.019*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"conserv\" + 0.014*\"selma\" + 0.014*\"bypass\"\n", + "2019-01-31 01:28:16,024 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:28:16,025 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.007*\"mode\" + 0.006*\"develop\" + 0.006*\"spectacl\" + 0.006*\"turn\"\n", + "2019-01-31 01:28:16,031 : INFO : topic diff=0.002794, rho=0.021848\n", + "2019-01-31 01:28:16,242 : INFO : PROGRESS: pass 0, at document #4192000/4922894\n", + "2019-01-31 01:28:17,599 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:17,865 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.015*\"damn\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:28:17,867 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"proclaim\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:28:17,868 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 01:28:17,869 : INFO : topic #48 (0.020): 0.080*\"sens\" + 0.080*\"march\" + 0.078*\"octob\" + 0.072*\"juli\" + 0.072*\"januari\" + 0.071*\"august\" + 0.068*\"notion\" + 0.068*\"judici\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:28:17,870 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"citi\"\n", + "2019-01-31 01:28:17,876 : INFO : topic diff=0.003122, rho=0.021843\n", + "2019-01-31 01:28:18,039 : INFO : PROGRESS: pass 0, at document #4194000/4922894\n", + "2019-01-31 01:28:19,446 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:19,713 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"citi\"\n", + "2019-01-31 01:28:19,714 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"daughter\"\n", + "2019-01-31 01:28:19,715 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:28:19,716 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:28:19,717 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:28:19,723 : INFO : topic diff=0.003516, rho=0.021837\n", + "2019-01-31 01:28:19,875 : INFO : PROGRESS: pass 0, at document #4196000/4922894\n", + "2019-01-31 01:28:21,220 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:21,487 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:28:21,488 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.037*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"personifi\" + 0.024*\"reprint\" + 0.024*\"poison\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.016*\"malaysia\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:28:21,489 : INFO : topic #43 (0.020): 0.068*\"elect\" + 0.055*\"parti\" + 0.025*\"democrat\" + 0.024*\"voluntari\" + 0.019*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.013*\"conserv\" + 0.013*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 01:28:21,490 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.010*\"prognosi\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.008*\"championship\" + 0.007*\"includ\"\n", + "2019-01-31 01:28:21,490 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:28:21,496 : INFO : topic diff=0.003670, rho=0.021832\n", + "2019-01-31 01:28:21,656 : INFO : PROGRESS: pass 0, at document #4198000/4922894\n", + "2019-01-31 01:28:23,044 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:23,310 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:28:23,312 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.011*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.006*\"black\"\n", + "2019-01-31 01:28:23,313 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:28:23,314 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.025*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:28:23,315 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.022*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:28:23,321 : INFO : topic diff=0.004351, rho=0.021827\n", + "2019-01-31 01:28:25,977 : INFO : -11.615 per-word bound, 3137.4 perplexity estimate based on a held-out corpus of 2000 documents with 531616 words\n", + "2019-01-31 01:28:25,978 : INFO : PROGRESS: pass 0, at document #4200000/4922894\n", + "2019-01-31 01:28:27,354 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:27,621 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.014*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 01:28:27,622 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.046*\"canadian\" + 0.024*\"hoar\" + 0.024*\"toronto\" + 0.020*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:28:27,623 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.034*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:28:27,624 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:28:27,625 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.025*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:28:27,631 : INFO : topic diff=0.002872, rho=0.021822\n", + "2019-01-31 01:28:27,788 : INFO : PROGRESS: pass 0, at document #4202000/4922894\n", + "2019-01-31 01:28:29,166 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:29,432 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:28:29,433 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.014*\"acrimoni\" + 0.013*\"simpler\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:28:29,434 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.045*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.015*\"shirin\" + 0.015*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 01:28:29,435 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"spectacl\" + 0.006*\"produc\"\n", + "2019-01-31 01:28:29,436 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:28:29,442 : INFO : topic diff=0.003367, rho=0.021817\n", + "2019-01-31 01:28:29,602 : INFO : PROGRESS: pass 0, at document #4204000/4922894\n", + "2019-01-31 01:28:30,999 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:31,265 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:28:31,266 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:28:31,267 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.016*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"lobe\"\n", + "2019-01-31 01:28:31,268 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.025*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"parish\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:28:31,269 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.011*\"santa\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:28:31,275 : INFO : topic diff=0.003307, rho=0.021811\n", + "2019-01-31 01:28:31,434 : INFO : PROGRESS: pass 0, at document #4206000/4922894\n", + "2019-01-31 01:28:32,795 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:33,063 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:28:33,064 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"storag\"\n", + "2019-01-31 01:28:33,065 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"jame\" + 0.011*\"david\" + 0.011*\"will\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:28:33,066 : INFO : topic #48 (0.020): 0.080*\"sens\" + 0.080*\"march\" + 0.080*\"octob\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.071*\"august\" + 0.069*\"notion\" + 0.069*\"judici\" + 0.068*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 01:28:33,067 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"proclaim\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:28:33,073 : INFO : topic diff=0.003209, rho=0.021806\n", + "2019-01-31 01:28:33,236 : INFO : PROGRESS: pass 0, at document #4208000/4922894\n", + "2019-01-31 01:28:34,661 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:34,928 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"proclaim\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:28:34,929 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.019*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.006*\"trap\" + 0.006*\"incom\"\n", + "2019-01-31 01:28:34,929 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:28:34,930 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"pop\" + 0.011*\"prognosi\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"championship\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"softwar\" + 0.007*\"includ\"\n", + "2019-01-31 01:28:34,931 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"pistol\" + 0.011*\"silicon\" + 0.010*\"centuri\"\n", + "2019-01-31 01:28:34,937 : INFO : topic diff=0.004575, rho=0.021801\n", + "2019-01-31 01:28:35,097 : INFO : PROGRESS: pass 0, at document #4210000/4922894\n", + "2019-01-31 01:28:36,481 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:36,748 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"proclaim\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:28:36,749 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.011*\"will\"\n", + "2019-01-31 01:28:36,750 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:28:36,751 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.027*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"nation\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:28:36,752 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:28:36,758 : INFO : topic diff=0.002869, rho=0.021796\n", + "2019-01-31 01:28:36,917 : INFO : PROGRESS: pass 0, at document #4212000/4922894\n", + "2019-01-31 01:28:38,296 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:38,563 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:28:38,564 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"field\"\n", + "2019-01-31 01:28:38,565 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:28:38,566 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.027*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 01:28:38,567 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.045*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.021*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.015*\"hydrogen\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:28:38,573 : INFO : topic diff=0.003219, rho=0.021791\n", + "2019-01-31 01:28:38,729 : INFO : PROGRESS: pass 0, at document #4214000/4922894\n", + "2019-01-31 01:28:40,105 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:40,371 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.034*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.013*\"terri\" + 0.011*\"citi\"\n", + "2019-01-31 01:28:40,372 : INFO : topic #43 (0.020): 0.068*\"elect\" + 0.056*\"parti\" + 0.025*\"democrat\" + 0.023*\"voluntari\" + 0.019*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.013*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:28:40,373 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.011*\"anim\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.006*\"black\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:28:40,374 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:28:40,375 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:28:40,381 : INFO : topic diff=0.003139, rho=0.021786\n", + "2019-01-31 01:28:40,538 : INFO : PROGRESS: pass 0, at document #4216000/4922894\n", + "2019-01-31 01:28:41,918 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:42,185 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"australian\" + 0.023*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:28:42,186 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:28:42,187 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.046*\"chilton\" + 0.026*\"kong\" + 0.026*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.015*\"sourc\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:28:42,188 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"utopian\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"field\"\n", + "2019-01-31 01:28:42,190 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.021*\"champion\" + 0.015*\"martin\" + 0.015*\"open\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\"\n", + "2019-01-31 01:28:42,195 : INFO : topic diff=0.003594, rho=0.021780\n", + "2019-01-31 01:28:42,358 : INFO : PROGRESS: pass 0, at document #4218000/4922894\n", + "2019-01-31 01:28:43,770 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:44,036 : INFO : topic #13 (0.020): 0.028*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.024*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:28:44,038 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:28:44,039 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"field\"\n", + "2019-01-31 01:28:44,040 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.041*\"line\" + 0.032*\"raid\" + 0.028*\"rivièr\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.019*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:28:44,041 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.011*\"pistol\" + 0.011*\"silicon\" + 0.010*\"centuri\"\n", + "2019-01-31 01:28:44,047 : INFO : topic diff=0.003487, rho=0.021775\n", + "2019-01-31 01:28:46,784 : INFO : -11.678 per-word bound, 3277.5 perplexity estimate based on a held-out corpus of 2000 documents with 580486 words\n", + "2019-01-31 01:28:46,784 : INFO : PROGRESS: pass 0, at document #4220000/4922894\n", + "2019-01-31 01:28:48,190 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:48,457 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:28:48,458 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.015*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:28:48,459 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.012*\"anglo\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:28:48,460 : INFO : topic #25 (0.020): 0.035*\"ring\" + 0.018*\"lagrang\" + 0.018*\"area\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"lobe\"\n", + "2019-01-31 01:28:48,461 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.009*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"incom\" + 0.006*\"trap\"\n", + "2019-01-31 01:28:48,467 : INFO : topic diff=0.003706, rho=0.021770\n", + "2019-01-31 01:28:48,685 : INFO : PROGRESS: pass 0, at document #4222000/4922894\n", + "2019-01-31 01:28:50,076 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:50,342 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:28:50,343 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:28:50,344 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.045*\"canadian\" + 0.024*\"hoar\" + 0.023*\"toronto\" + 0.020*\"ontario\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:28:50,345 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.015*\"open\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\"\n", + "2019-01-31 01:28:50,346 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:28:50,352 : INFO : topic diff=0.003464, rho=0.021765\n", + "2019-01-31 01:28:50,508 : INFO : PROGRESS: pass 0, at document #4224000/4922894\n", + "2019-01-31 01:28:51,889 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:52,155 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:28:52,156 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.008*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:28:52,157 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.013*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:28:52,158 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:28:52,159 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.079*\"sens\" + 0.079*\"octob\" + 0.073*\"juli\" + 0.072*\"januari\" + 0.071*\"august\" + 0.070*\"judici\" + 0.070*\"notion\" + 0.068*\"april\" + 0.066*\"decatur\"\n", + "2019-01-31 01:28:52,165 : INFO : topic diff=0.002320, rho=0.021760\n", + "2019-01-31 01:28:52,325 : INFO : PROGRESS: pass 0, at document #4226000/4922894\n", + "2019-01-31 01:28:53,716 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:53,986 : INFO : topic #45 (0.020): 0.044*\"arsen\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.027*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.015*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:28:53,987 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.009*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:28:53,989 : INFO : topic #41 (0.020): 0.040*\"citi\" + 0.023*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"hot\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:28:53,990 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.021*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:28:53,991 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.006*\"incom\" + 0.006*\"trap\"\n", + "2019-01-31 01:28:53,997 : INFO : topic diff=0.003006, rho=0.021755\n", + "2019-01-31 01:28:54,153 : INFO : PROGRESS: pass 0, at document #4228000/4922894\n", + "2019-01-31 01:28:55,528 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:55,795 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:28:55,796 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:28:55,797 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"teufel\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"citi\"\n", + "2019-01-31 01:28:55,798 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.055*\"parti\" + 0.026*\"democrat\" + 0.024*\"voluntari\" + 0.018*\"member\" + 0.017*\"republ\" + 0.016*\"polici\" + 0.014*\"bypass\" + 0.013*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:28:55,799 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"turn\"\n", + "2019-01-31 01:28:55,805 : INFO : topic diff=0.002645, rho=0.021749\n", + "2019-01-31 01:28:55,965 : INFO : PROGRESS: pass 0, at document #4230000/4922894\n", + "2019-01-31 01:28:57,360 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:57,626 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:28:57,628 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.015*\"sweden\" + 0.014*\"wind\" + 0.014*\"norwai\" + 0.014*\"damag\" + 0.014*\"swedish\" + 0.012*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:28:57,629 : INFO : topic #45 (0.020): 0.044*\"arsen\" + 0.030*\"jpg\" + 0.028*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:28:57,630 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:28:57,631 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"uruguayan\" + 0.008*\"championship\" + 0.008*\"softwar\" + 0.008*\"user\"\n", + "2019-01-31 01:28:57,636 : INFO : topic diff=0.003075, rho=0.021744\n", + "2019-01-31 01:28:57,792 : INFO : PROGRESS: pass 0, at document #4232000/4922894\n", + "2019-01-31 01:28:59,168 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:28:59,434 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.011*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:28:59,435 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:28:59,436 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.011*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.006*\"black\"\n", + "2019-01-31 01:28:59,437 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.015*\"sweden\" + 0.015*\"damag\" + 0.015*\"norwai\" + 0.014*\"wind\" + 0.013*\"swedish\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:28:59,438 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:28:59,444 : INFO : topic diff=0.003145, rho=0.021739\n", + "2019-01-31 01:28:59,607 : INFO : PROGRESS: pass 0, at document #4234000/4922894\n", + "2019-01-31 01:29:01,024 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:01,290 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.010*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:29:01,291 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:29:01,292 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.042*\"line\" + 0.032*\"raid\" + 0.028*\"rivièr\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:29:01,293 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.025*\"cathol\" + 0.021*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.010*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:29:01,294 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"trap\" + 0.006*\"incom\"\n", + "2019-01-31 01:29:01,300 : INFO : topic diff=0.004785, rho=0.021734\n", + "2019-01-31 01:29:01,463 : INFO : PROGRESS: pass 0, at document #4236000/4922894\n", + "2019-01-31 01:29:02,861 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:03,131 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:29:03,132 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"horac\" + 0.010*\"théori\"\n", + "2019-01-31 01:29:03,133 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.011*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:29:03,134 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.019*\"grammat\" + 0.018*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"rotterdam\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"order\"\n", + "2019-01-31 01:29:03,135 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:29:03,141 : INFO : topic diff=0.003840, rho=0.021729\n", + "2019-01-31 01:29:03,298 : INFO : PROGRESS: pass 0, at document #4238000/4922894\n", + "2019-01-31 01:29:04,686 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:04,953 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.011*\"coalit\" + 0.009*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 01:29:04,954 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:29:04,955 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.027*\"champion\" + 0.025*\"olymp\" + 0.025*\"woman\" + 0.023*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"nation\" + 0.017*\"atheist\"\n", + "2019-01-31 01:29:04,956 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.042*\"line\" + 0.032*\"raid\" + 0.028*\"rivièr\" + 0.026*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:29:04,957 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.019*\"lagrang\" + 0.018*\"area\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.009*\"north\" + 0.009*\"foam\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"vacant\"\n", + "2019-01-31 01:29:04,963 : INFO : topic diff=0.002986, rho=0.021724\n", + "2019-01-31 01:29:07,674 : INFO : -11.666 per-word bound, 3249.1 perplexity estimate based on a held-out corpus of 2000 documents with 541190 words\n", + "2019-01-31 01:29:07,674 : INFO : PROGRESS: pass 0, at document #4240000/4922894\n", + "2019-01-31 01:29:09,057 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:09,326 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.043*\"american\" + 0.028*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:29:09,327 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:29:09,328 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"turn\"\n", + "2019-01-31 01:29:09,329 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\" + 0.006*\"empath\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:29:09,330 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.034*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"citi\"\n", + "2019-01-31 01:29:09,336 : INFO : topic diff=0.002820, rho=0.021719\n", + "2019-01-31 01:29:09,494 : INFO : PROGRESS: pass 0, at document #4242000/4922894\n", + "2019-01-31 01:29:10,882 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:11,149 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:29:11,150 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.043*\"american\" + 0.028*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:29:11,151 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.007*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"turn\"\n", + "2019-01-31 01:29:11,152 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.042*\"line\" + 0.032*\"raid\" + 0.028*\"rivièr\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:29:11,153 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.019*\"grammat\" + 0.018*\"idiosyncrat\" + 0.018*\"duke\" + 0.017*\"rotterdam\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"maria\"\n", + "2019-01-31 01:29:11,159 : INFO : topic diff=0.003042, rho=0.021713\n", + "2019-01-31 01:29:11,311 : INFO : PROGRESS: pass 0, at document #4244000/4922894\n", + "2019-01-31 01:29:12,653 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:12,920 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:29:12,921 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:29:12,922 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:29:12,923 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.048*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.013*\"kim\"\n", + "2019-01-31 01:29:12,924 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:29:12,931 : INFO : topic diff=0.003416, rho=0.021708\n", + "2019-01-31 01:29:13,084 : INFO : PROGRESS: pass 0, at document #4246000/4922894\n", + "2019-01-31 01:29:14,443 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:14,709 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:29:14,710 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:29:14,711 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:29:14,712 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.010*\"sri\" + 0.010*\"muskoge\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:29:14,713 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.025*\"democrat\" + 0.025*\"voluntari\" + 0.018*\"member\" + 0.016*\"republ\" + 0.016*\"polici\" + 0.014*\"bypass\" + 0.013*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:29:14,719 : INFO : topic diff=0.003352, rho=0.021703\n", + "2019-01-31 01:29:14,877 : INFO : PROGRESS: pass 0, at document #4248000/4922894\n", + "2019-01-31 01:29:16,277 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:16,543 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.018*\"idiosyncrat\" + 0.017*\"rotterdam\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"maria\"\n", + "2019-01-31 01:29:16,544 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:29:16,545 : INFO : topic #37 (0.020): 0.013*\"anim\" + 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:29:16,546 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.030*\"jpg\" + 0.028*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.016*\"colder\"\n", + "2019-01-31 01:29:16,548 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"jame\" + 0.011*\"will\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:29:16,553 : INFO : topic diff=0.003377, rho=0.021698\n", + "2019-01-31 01:29:16,712 : INFO : PROGRESS: pass 0, at document #4250000/4922894\n", + "2019-01-31 01:29:18,098 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:18,365 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:29:18,366 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.029*\"pari\" + 0.023*\"sail\" + 0.023*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.011*\"loui\" + 0.010*\"wine\"\n", + "2019-01-31 01:29:18,367 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"citi\"\n", + "2019-01-31 01:29:18,368 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"utopian\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.005*\"measur\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:29:18,369 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:29:18,375 : INFO : topic diff=0.003000, rho=0.021693\n", + "2019-01-31 01:29:18,528 : INFO : PROGRESS: pass 0, at document #4252000/4922894\n", + "2019-01-31 01:29:19,874 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:20,140 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:29:20,141 : INFO : topic #33 (0.020): 0.058*\"french\" + 0.043*\"franc\" + 0.029*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.011*\"loui\" + 0.011*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:29:20,142 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:29:20,143 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"trap\" + 0.006*\"incom\"\n", + "2019-01-31 01:29:20,144 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.048*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:29:20,150 : INFO : topic diff=0.003174, rho=0.021688\n", + "2019-01-31 01:29:20,362 : INFO : PROGRESS: pass 0, at document #4254000/4922894\n", + "2019-01-31 01:29:21,753 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:22,020 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.035*\"cotton\" + 0.035*\"tortur\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:29:22,021 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:29:22,022 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.022*\"cortic\" + 0.019*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:29:22,023 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:29:22,024 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:29:22,030 : INFO : topic diff=0.003509, rho=0.021683\n", + "2019-01-31 01:29:22,184 : INFO : PROGRESS: pass 0, at document #4256000/4922894\n", + "2019-01-31 01:29:23,544 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:23,811 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"jame\" + 0.011*\"will\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:29:23,812 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\"\n", + "2019-01-31 01:29:23,813 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"pistol\" + 0.011*\"silicon\" + 0.010*\"centuri\"\n", + "2019-01-31 01:29:23,814 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.032*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:29:23,815 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"sourc\" + 0.026*\"australia\" + 0.025*\"new\" + 0.023*\"australian\" + 0.022*\"england\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:29:23,820 : INFO : topic diff=0.003445, rho=0.021678\n", + "2019-01-31 01:29:23,977 : INFO : PROGRESS: pass 0, at document #4258000/4922894\n", + "2019-01-31 01:29:25,349 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:25,616 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.046*\"canadian\" + 0.025*\"toronto\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:29:25,617 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"jack\"\n", + "2019-01-31 01:29:25,618 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.027*\"champion\" + 0.025*\"olymp\" + 0.025*\"woman\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"alic\" + 0.017*\"nation\"\n", + "2019-01-31 01:29:25,619 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:29:25,620 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.031*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:29:25,626 : INFO : topic diff=0.004405, rho=0.021673\n", + "2019-01-31 01:29:28,311 : INFO : -11.591 per-word bound, 3084.4 perplexity estimate based on a held-out corpus of 2000 documents with 547586 words\n", + "2019-01-31 01:29:28,312 : INFO : PROGRESS: pass 0, at document #4260000/4922894\n", + "2019-01-31 01:29:29,688 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:29,955 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"pistol\" + 0.011*\"silicon\" + 0.010*\"centuri\"\n", + "2019-01-31 01:29:29,956 : INFO : topic #48 (0.020): 0.079*\"sens\" + 0.079*\"march\" + 0.078*\"octob\" + 0.069*\"januari\" + 0.069*\"juli\" + 0.068*\"august\" + 0.067*\"notion\" + 0.066*\"judici\" + 0.066*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:29:29,957 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"coalit\" + 0.010*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 01:29:29,958 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 01:29:29,959 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.016*\"colder\"\n", + "2019-01-31 01:29:29,965 : INFO : topic diff=0.002638, rho=0.021668\n", + "2019-01-31 01:29:30,125 : INFO : PROGRESS: pass 0, at document #4262000/4922894\n", + "2019-01-31 01:29:31,514 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:31,781 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"utopian\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:29:31,782 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"damag\" + 0.015*\"sweden\" + 0.014*\"wind\" + 0.014*\"norwai\" + 0.014*\"swedish\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.009*\"denmark\"\n", + "2019-01-31 01:29:31,783 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.079*\"sens\" + 0.078*\"octob\" + 0.069*\"januari\" + 0.069*\"juli\" + 0.068*\"august\" + 0.067*\"notion\" + 0.067*\"judici\" + 0.066*\"april\" + 0.064*\"decatur\"\n", + "2019-01-31 01:29:31,784 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.035*\"cotton\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:29:31,785 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.010*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"till\" + 0.006*\"govern\" + 0.006*\"militari\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:29:31,791 : INFO : topic diff=0.002990, rho=0.021662\n", + "2019-01-31 01:29:31,949 : INFO : PROGRESS: pass 0, at document #4264000/4922894\n", + "2019-01-31 01:29:33,345 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:33,612 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.035*\"cotton\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:29:33,613 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.025*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.011*\"historiographi\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.009*\"poll\"\n", + "2019-01-31 01:29:33,614 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:29:33,615 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.016*\"damag\" + 0.015*\"sweden\" + 0.014*\"norwai\" + 0.014*\"wind\" + 0.014*\"swedish\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.009*\"denmark\"\n", + "2019-01-31 01:29:33,616 : INFO : topic #37 (0.020): 0.013*\"anim\" + 0.013*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.006*\"black\"\n", + "2019-01-31 01:29:33,622 : INFO : topic diff=0.003069, rho=0.021657\n", + "2019-01-31 01:29:33,778 : INFO : PROGRESS: pass 0, at document #4266000/4922894\n", + "2019-01-31 01:29:35,160 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:35,427 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"turn\"\n", + "2019-01-31 01:29:35,428 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:29:35,429 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:29:35,430 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:29:35,431 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.010*\"sri\" + 0.010*\"muskoge\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:29:35,437 : INFO : topic diff=0.003100, rho=0.021652\n", + "2019-01-31 01:29:35,595 : INFO : PROGRESS: pass 0, at document #4268000/4922894\n", + "2019-01-31 01:29:36,990 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:37,257 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.043*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.013*\"simpler\"\n", + "2019-01-31 01:29:37,258 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:29:37,259 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:29:37,260 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.070*\"best\" + 0.034*\"yawn\" + 0.031*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:29:37,261 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"minist\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:29:37,267 : INFO : topic diff=0.003114, rho=0.021647\n", + "2019-01-31 01:29:37,426 : INFO : PROGRESS: pass 0, at document #4270000/4922894\n", + "2019-01-31 01:29:38,820 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:39,087 : INFO : topic #33 (0.020): 0.057*\"french\" + 0.043*\"franc\" + 0.028*\"pari\" + 0.023*\"wreath\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"wine\" + 0.011*\"loui\"\n", + "2019-01-31 01:29:39,088 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"jame\" + 0.011*\"david\" + 0.011*\"will\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:29:39,089 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"minist\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:29:39,090 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:29:39,091 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:29:39,097 : INFO : topic diff=0.003089, rho=0.021642\n", + "2019-01-31 01:29:39,257 : INFO : PROGRESS: pass 0, at document #4272000/4922894\n", + "2019-01-31 01:29:40,663 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:40,930 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.023*\"palmer\" + 0.019*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:29:40,931 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:29:40,932 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.019*\"idiosyncrat\" + 0.019*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"grammat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.012*\"count\"\n", + "2019-01-31 01:29:40,933 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:29:40,934 : INFO : topic #46 (0.020): 0.016*\"stop\" + 0.015*\"damag\" + 0.015*\"sweden\" + 0.014*\"wind\" + 0.014*\"norwai\" + 0.014*\"swedish\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.009*\"turkish\"\n", + "2019-01-31 01:29:40,940 : INFO : topic diff=0.003378, rho=0.021637\n", + "2019-01-31 01:29:41,102 : INFO : PROGRESS: pass 0, at document #4274000/4922894\n", + "2019-01-31 01:29:42,495 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:42,762 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:29:42,763 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"till\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:29:42,764 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.049*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:29:42,765 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.014*\"santa\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:29:42,766 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"televis\" + 0.012*\"pakistan\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:29:42,772 : INFO : topic diff=0.003894, rho=0.021632\n", + "2019-01-31 01:29:42,928 : INFO : PROGRESS: pass 0, at document #4276000/4922894\n", + "2019-01-31 01:29:44,282 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:29:44,549 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.021*\"candid\" + 0.018*\"taxpay\" + 0.015*\"ret\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.011*\"find\" + 0.011*\"fool\" + 0.010*\"horac\" + 0.010*\"champion\"\n", + "2019-01-31 01:29:44,550 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"offic\" + 0.025*\"minist\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:29:44,551 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"sourc\" + 0.025*\"australia\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:29:44,552 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"trap\" + 0.006*\"incom\"\n", + "2019-01-31 01:29:44,553 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.018*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.015*\"bypass\" + 0.013*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:29:44,559 : INFO : topic diff=0.003050, rho=0.021627\n", + "2019-01-31 01:29:44,716 : INFO : PROGRESS: pass 0, at document #4278000/4922894\n", + "2019-01-31 01:29:46,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:46,355 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:29:46,356 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:29:46,357 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"field\"\n", + "2019-01-31 01:29:46,358 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:29:46,359 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\" + 0.010*\"centuri\"\n", + "2019-01-31 01:29:46,365 : INFO : topic diff=0.003646, rho=0.021622\n", + "2019-01-31 01:29:48,981 : INFO : -11.619 per-word bound, 3145.6 perplexity estimate based on a held-out corpus of 2000 documents with 516782 words\n", + "2019-01-31 01:29:48,981 : INFO : PROGRESS: pass 0, at document #4280000/4922894\n", + "2019-01-31 01:29:50,325 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:50,592 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:29:50,593 : INFO : topic #33 (0.020): 0.057*\"french\" + 0.043*\"franc\" + 0.028*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.021*\"wreath\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"wine\" + 0.011*\"loui\"\n", + "2019-01-31 01:29:50,594 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:29:50,596 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:29:50,597 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.016*\"intern\" + 0.013*\"winner\"\n", + "2019-01-31 01:29:50,602 : INFO : topic diff=0.003364, rho=0.021617\n", + "2019-01-31 01:29:50,762 : INFO : PROGRESS: pass 0, at document #4282000/4922894\n", + "2019-01-31 01:29:52,143 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:52,409 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.015*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:29:52,410 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:29:52,412 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"word\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.007*\"woman\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:29:52,413 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:29:52,414 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"degre\" + 0.012*\"word\" + 0.011*\"http\"\n", + "2019-01-31 01:29:52,420 : INFO : topic diff=0.003373, rho=0.021612\n", + "2019-01-31 01:29:52,571 : INFO : PROGRESS: pass 0, at document #4284000/4922894\n", + "2019-01-31 01:29:53,915 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:54,182 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"minist\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:29:54,182 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.035*\"cotton\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:29:54,183 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:29:54,185 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"field\"\n", + "2019-01-31 01:29:54,185 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.027*\"champion\" + 0.025*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"alic\" + 0.017*\"atheist\"\n", + "2019-01-31 01:29:54,191 : INFO : topic diff=0.003117, rho=0.021607\n", + "2019-01-31 01:29:54,349 : INFO : PROGRESS: pass 0, at document #4286000/4922894\n", + "2019-01-31 01:29:55,722 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:55,989 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"minist\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:29:55,990 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.023*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:29:55,991 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.025*\"cathol\" + 0.023*\"christian\" + 0.022*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"poll\"\n", + "2019-01-31 01:29:55,992 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:29:55,993 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:29:55,999 : INFO : topic diff=0.002996, rho=0.021602\n", + "2019-01-31 01:29:56,210 : INFO : PROGRESS: pass 0, at document #4288000/4922894\n", + "2019-01-31 01:29:57,693 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:29:57,960 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.035*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:29:57,961 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.014*\"santa\" + 0.013*\"soviet\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:29:57,962 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.025*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"open\" + 0.014*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\"\n", + "2019-01-31 01:29:57,964 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.015*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:29:57,965 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:29:57,970 : INFO : topic diff=0.003408, rho=0.021597\n", + "2019-01-31 01:29:58,127 : INFO : PROGRESS: pass 0, at document #4290000/4922894\n", + "2019-01-31 01:29:59,501 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:29:59,767 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"lobe\"\n", + "2019-01-31 01:29:59,769 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"till\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:29:59,770 : INFO : topic #32 (0.020): 0.052*\"district\" + 0.044*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.035*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:29:59,771 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.078*\"march\" + 0.077*\"octob\" + 0.068*\"januari\" + 0.067*\"notion\" + 0.066*\"juli\" + 0.066*\"april\" + 0.066*\"august\" + 0.064*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 01:29:59,772 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"der\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.010*\"european\" + 0.010*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:29:59,778 : INFO : topic diff=0.003606, rho=0.021592\n", + "2019-01-31 01:29:59,938 : INFO : PROGRESS: pass 0, at document #4292000/4922894\n", + "2019-01-31 01:30:01,356 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:01,623 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:30:01,624 : INFO : topic #3 (0.020): 0.035*\"present\" + 0.026*\"minist\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:30:01,625 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\" + 0.009*\"lobe\"\n", + "2019-01-31 01:30:01,626 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.078*\"march\" + 0.077*\"octob\" + 0.068*\"januari\" + 0.067*\"notion\" + 0.066*\"juli\" + 0.066*\"august\" + 0.066*\"april\" + 0.064*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:30:01,627 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:30:01,633 : INFO : topic diff=0.003357, rho=0.021587\n", + "2019-01-31 01:30:01,788 : INFO : PROGRESS: pass 0, at document #4294000/4922894\n", + "2019-01-31 01:30:03,150 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:03,416 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.025*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.014*\"open\" + 0.014*\"chamber\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\"\n", + "2019-01-31 01:30:03,418 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"servitud\" + 0.006*\"field\"\n", + "2019-01-31 01:30:03,419 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:30:03,420 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"centuri\" + 0.010*\"pistol\"\n", + "2019-01-31 01:30:03,421 : INFO : topic #48 (0.020): 0.078*\"sens\" + 0.078*\"march\" + 0.076*\"octob\" + 0.068*\"januari\" + 0.067*\"august\" + 0.067*\"notion\" + 0.066*\"juli\" + 0.066*\"april\" + 0.064*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:30:03,427 : INFO : topic diff=0.003191, rho=0.021582\n", + "2019-01-31 01:30:03,581 : INFO : PROGRESS: pass 0, at document #4296000/4922894\n", + "2019-01-31 01:30:04,978 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:05,244 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.015*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:30:05,245 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:30:05,246 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"disco\" + 0.008*\"media\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:30:05,247 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.018*\"duke\" + 0.018*\"grammat\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"portugues\" + 0.013*\"maria\"\n", + "2019-01-31 01:30:05,249 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.025*\"cathol\" + 0.023*\"christian\" + 0.023*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"poll\"\n", + "2019-01-31 01:30:05,254 : INFO : topic diff=0.002855, rho=0.021577\n", + "2019-01-31 01:30:05,412 : INFO : PROGRESS: pass 0, at document #4298000/4922894\n", + "2019-01-31 01:30:06,802 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:07,070 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:30:07,071 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"land\" + 0.009*\"lobe\"\n", + "2019-01-31 01:30:07,072 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"anim\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:30:07,073 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"user\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:30:07,074 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.015*\"sweden\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwai\" + 0.014*\"damag\" + 0.013*\"treeless\" + 0.013*\"norwegian\" + 0.011*\"huntsvil\" + 0.009*\"denmark\"\n", + "2019-01-31 01:30:07,080 : INFO : topic diff=0.003643, rho=0.021572\n", + "2019-01-31 01:30:09,809 : INFO : -11.602 per-word bound, 3108.6 perplexity estimate based on a held-out corpus of 2000 documents with 566311 words\n", + "2019-01-31 01:30:09,809 : INFO : PROGRESS: pass 0, at document #4300000/4922894\n", + "2019-01-31 01:30:11,199 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:30:11,465 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:30:11,466 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.010*\"european\" + 0.010*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:30:11,467 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.034*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:30:11,468 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:30:11,469 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.018*\"dutch\" + 0.017*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.015*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:30:11,475 : INFO : topic diff=0.002694, rho=0.021567\n", + "2019-01-31 01:30:11,634 : INFO : PROGRESS: pass 0, at document #4302000/4922894\n", + "2019-01-31 01:30:13,036 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:13,303 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.069*\"best\" + 0.034*\"yawn\" + 0.030*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:30:13,304 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.021*\"requir\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.019*\"student\" + 0.015*\"professor\" + 0.012*\"degre\" + 0.012*\"word\" + 0.011*\"governor\"\n", + "2019-01-31 01:30:13,305 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"magazin\" + 0.011*\"storag\"\n", + "2019-01-31 01:30:13,306 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"spectacl\"\n", + "2019-01-31 01:30:13,307 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.043*\"line\" + 0.031*\"raid\" + 0.029*\"rivièr\" + 0.027*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:30:13,313 : INFO : topic diff=0.003273, rho=0.021562\n", + "2019-01-31 01:30:13,468 : INFO : PROGRESS: pass 0, at document #4304000/4922894\n", + "2019-01-31 01:30:14,839 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:15,105 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.025*\"cathol\" + 0.023*\"christian\" + 0.022*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"poll\"\n", + "2019-01-31 01:30:15,106 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.034*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.011*\"jack\"\n", + "2019-01-31 01:30:15,107 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"servitud\" + 0.005*\"field\"\n", + "2019-01-31 01:30:15,109 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"till\" + 0.006*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:30:15,110 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.019*\"grammat\" + 0.018*\"duke\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"maria\"\n", + "2019-01-31 01:30:15,115 : INFO : topic diff=0.002852, rho=0.021557\n", + "2019-01-31 01:30:15,273 : INFO : PROGRESS: pass 0, at document #4306000/4922894\n", + "2019-01-31 01:30:16,663 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:16,929 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"magazin\" + 0.011*\"storag\"\n", + "2019-01-31 01:30:16,930 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.010*\"european\" + 0.010*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:30:16,932 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:30:16,933 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:30:16,934 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"grammat\" + 0.019*\"idiosyncrat\" + 0.019*\"duke\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"maria\"\n", + "2019-01-31 01:30:16,939 : INFO : topic diff=0.003345, rho=0.021552\n", + "2019-01-31 01:30:17,095 : INFO : PROGRESS: pass 0, at document #4308000/4922894\n", + "2019-01-31 01:30:18,471 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:18,738 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.015*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"daughter\"\n", + "2019-01-31 01:30:18,739 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 01:30:18,740 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"sens\" + 0.076*\"octob\" + 0.069*\"januari\" + 0.067*\"august\" + 0.067*\"juli\" + 0.066*\"notion\" + 0.066*\"april\" + 0.064*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 01:30:18,741 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:30:18,742 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:30:18,748 : INFO : topic diff=0.002474, rho=0.021547\n", + "2019-01-31 01:30:18,906 : INFO : PROGRESS: pass 0, at document #4310000/4922894\n", + "2019-01-31 01:30:20,273 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:20,540 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"servitud\" + 0.005*\"field\"\n", + "2019-01-31 01:30:20,541 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.042*\"line\" + 0.031*\"raid\" + 0.030*\"rivièr\" + 0.027*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:30:20,542 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.017*\"mexico\" + 0.017*\"del\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"carlo\"\n", + "2019-01-31 01:30:20,543 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.019*\"narrat\" + 0.015*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:30:20,544 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:30:20,550 : INFO : topic diff=0.003426, rho=0.021542\n", + "2019-01-31 01:30:20,702 : INFO : PROGRESS: pass 0, at document #4312000/4922894\n", + "2019-01-31 01:30:22,052 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:22,318 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.034*\"cotton\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:30:22,320 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.050*\"chilton\" + 0.024*\"hong\" + 0.024*\"kong\" + 0.022*\"korea\" + 0.019*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:30:22,321 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.017*\"player\" + 0.017*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:30:22,322 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.035*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.019*\"moscow\" + 0.019*\"poland\" + 0.016*\"tyrant\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:30:22,323 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:30:22,329 : INFO : topic diff=0.002987, rho=0.021537\n", + "2019-01-31 01:30:22,489 : INFO : PROGRESS: pass 0, at document #4314000/4922894\n", + "2019-01-31 01:30:23,896 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:24,162 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.018*\"member\" + 0.016*\"republ\" + 0.016*\"polici\" + 0.014*\"bypass\" + 0.013*\"selma\" + 0.013*\"seaport\"\n", + "2019-01-31 01:30:24,164 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.027*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.025*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:30:24,165 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.029*\"museo\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.017*\"exhaust\" + 0.016*\"artist\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:30:24,166 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.011*\"affection\" + 0.011*\"televis\" + 0.010*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:30:24,167 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.025*\"cathol\" + 0.023*\"christian\" + 0.022*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:30:24,173 : INFO : topic diff=0.003430, rho=0.021532\n", + "2019-01-31 01:30:24,330 : INFO : PROGRESS: pass 0, at document #4316000/4922894\n", + "2019-01-31 01:30:25,708 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:25,974 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.018*\"member\" + 0.016*\"republ\" + 0.016*\"polici\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"selma\"\n", + "2019-01-31 01:30:25,975 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:30:25,976 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:30:25,977 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"incom\" + 0.006*\"trap\"\n", + "2019-01-31 01:30:25,978 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:30:25,984 : INFO : topic diff=0.003749, rho=0.021527\n", + "2019-01-31 01:30:26,196 : INFO : PROGRESS: pass 0, at document #4318000/4922894\n", + "2019-01-31 01:30:27,558 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:27,825 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.011*\"affection\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:30:27,826 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.022*\"armi\" + 0.021*\"walter\" + 0.018*\"com\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:30:27,827 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:30:27,828 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.015*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"horac\" + 0.010*\"squatter\"\n", + "2019-01-31 01:30:27,829 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.014*\"jewish\" + 0.014*\"israel\" + 0.014*\"berlin\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:30:27,835 : INFO : topic diff=0.003532, rho=0.021522\n", + "2019-01-31 01:30:30,578 : INFO : -11.686 per-word bound, 3294.5 perplexity estimate based on a held-out corpus of 2000 documents with 558351 words\n", + "2019-01-31 01:30:30,579 : INFO : PROGRESS: pass 0, at document #4320000/4922894\n", + "2019-01-31 01:30:31,984 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:32,251 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.025*\"cathol\" + 0.024*\"christian\" + 0.022*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:30:32,252 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"sens\" + 0.076*\"octob\" + 0.070*\"januari\" + 0.067*\"juli\" + 0.067*\"august\" + 0.067*\"notion\" + 0.066*\"april\" + 0.065*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:30:32,253 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\" + 0.009*\"vacant\"\n", + "2019-01-31 01:30:32,254 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"storag\"\n", + "2019-01-31 01:30:32,255 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"open\" + 0.014*\"tiepolo\"\n", + "2019-01-31 01:30:32,261 : INFO : topic diff=0.003003, rho=0.021517\n", + "2019-01-31 01:30:32,421 : INFO : PROGRESS: pass 0, at document #4322000/4922894\n", + "2019-01-31 01:30:33,801 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:34,069 : INFO : topic #10 (0.020): 0.012*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\" + 0.006*\"proper\"\n", + "2019-01-31 01:30:34,070 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"armi\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:30:34,071 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.013*\"pour\" + 0.009*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"teratogen\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:30:34,072 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 01:30:34,074 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"storag\"\n", + "2019-01-31 01:30:34,079 : INFO : topic diff=0.003004, rho=0.021512\n", + "2019-01-31 01:30:34,240 : INFO : PROGRESS: pass 0, at document #4324000/4922894\n", + "2019-01-31 01:30:35,619 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:35,886 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:30:35,887 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:30:35,888 : INFO : topic #9 (0.020): 0.069*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.017*\"player\" + 0.017*\"folei\" + 0.016*\"english\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:30:35,889 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.027*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"open\" + 0.013*\"tiepolo\"\n", + "2019-01-31 01:30:35,890 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.029*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"exhaust\" + 0.016*\"artist\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:30:35,896 : INFO : topic diff=0.002871, rho=0.021507\n", + "2019-01-31 01:30:36,048 : INFO : PROGRESS: pass 0, at document #4326000/4922894\n", + "2019-01-31 01:30:37,401 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:37,667 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.070*\"januari\" + 0.068*\"juli\" + 0.068*\"august\" + 0.067*\"notion\" + 0.066*\"april\" + 0.065*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:30:37,668 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:30:37,669 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.022*\"cortic\" + 0.020*\"act\" + 0.018*\"start\" + 0.014*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:30:37,670 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.027*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:30:37,671 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:30:37,677 : INFO : topic diff=0.004297, rho=0.021502\n", + "2019-01-31 01:30:37,838 : INFO : PROGRESS: pass 0, at document #4328000/4922894\n", + "2019-01-31 01:30:39,251 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:39,517 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.014*\"open\"\n", + "2019-01-31 01:30:39,518 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:30:39,520 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.027*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:30:39,521 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\" + 0.009*\"lobe\"\n", + "2019-01-31 01:30:39,522 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.015*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:30:39,528 : INFO : topic diff=0.003342, rho=0.021497\n", + "2019-01-31 01:30:39,687 : INFO : PROGRESS: pass 0, at document #4330000/4922894\n", + "2019-01-31 01:30:41,074 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:41,340 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.006*\"incom\" + 0.006*\"trap\"\n", + "2019-01-31 01:30:41,341 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.011*\"jame\" + 0.011*\"david\" + 0.011*\"will\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.009*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:30:41,343 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"teratogen\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:30:41,344 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.017*\"mexico\" + 0.017*\"del\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.011*\"carlo\"\n", + "2019-01-31 01:30:41,345 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:30:41,351 : INFO : topic diff=0.002889, rho=0.021492\n", + "2019-01-31 01:30:41,508 : INFO : PROGRESS: pass 0, at document #4332000/4922894\n", + "2019-01-31 01:30:42,891 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:43,158 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:30:43,159 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.023*\"spain\" + 0.017*\"mexico\" + 0.017*\"del\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"francisco\" + 0.011*\"carlo\" + 0.011*\"juan\"\n", + "2019-01-31 01:30:43,160 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.020*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:30:43,161 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.027*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:30:43,162 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:30:43,168 : INFO : topic diff=0.002964, rho=0.021487\n", + "2019-01-31 01:30:43,324 : INFO : PROGRESS: pass 0, at document #4334000/4922894\n", + "2019-01-31 01:30:44,688 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:44,954 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.050*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:30:44,956 : INFO : topic #29 (0.020): 0.030*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:30:44,957 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.011*\"televis\" + 0.010*\"khalsa\" + 0.009*\"sri\"\n", + "2019-01-31 01:30:44,958 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.041*\"line\" + 0.031*\"rivièr\" + 0.030*\"raid\" + 0.027*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:30:44,959 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.015*\"wind\" + 0.014*\"treeless\" + 0.014*\"damag\" + 0.014*\"norwai\" + 0.012*\"norwegian\" + 0.011*\"huntsvil\" + 0.009*\"denmark\"\n", + "2019-01-31 01:30:44,965 : INFO : topic diff=0.003669, rho=0.021482\n", + "2019-01-31 01:30:45,123 : INFO : PROGRESS: pass 0, at document #4336000/4922894\n", + "2019-01-31 01:30:46,510 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:46,777 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.015*\"wind\" + 0.014*\"damag\" + 0.014*\"treeless\" + 0.014*\"norwai\" + 0.012*\"norwegian\" + 0.011*\"huntsvil\" + 0.009*\"denmark\"\n", + "2019-01-31 01:30:46,778 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:30:46,779 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.009*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:30:46,780 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.025*\"cathol\" + 0.024*\"christian\" + 0.022*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:30:46,781 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:30:46,787 : INFO : topic diff=0.003270, rho=0.021477\n", + "2019-01-31 01:30:46,945 : INFO : PROGRESS: pass 0, at document #4338000/4922894\n", + "2019-01-31 01:30:48,322 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:48,588 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:30:48,589 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:30:48,590 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.037*\"shield\" + 0.019*\"narrat\" + 0.015*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"bahá\" + 0.009*\"class\"\n", + "2019-01-31 01:30:48,592 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:30:48,593 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.016*\"artist\" + 0.016*\"gai\"\n", + "2019-01-31 01:30:48,598 : INFO : topic diff=0.002652, rho=0.021472\n", + "2019-01-31 01:30:51,267 : INFO : -11.549 per-word bound, 2996.8 perplexity estimate based on a held-out corpus of 2000 documents with 549907 words\n", + "2019-01-31 01:30:51,268 : INFO : PROGRESS: pass 0, at document #4340000/4922894\n", + "2019-01-31 01:30:52,634 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:52,901 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.034*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"poison\" + 0.026*\"reprint\" + 0.025*\"personifi\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.016*\"tyrant\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:30:52,902 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.029*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"wreath\" + 0.013*\"loui\" + 0.012*\"lazi\" + 0.011*\"piec\"\n", + "2019-01-31 01:30:52,903 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"minist\" + 0.025*\"offic\" + 0.024*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:30:52,904 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.008*\"frontal\" + 0.007*\"gener\" + 0.007*\"poet\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"method\"\n", + "2019-01-31 01:30:52,905 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"jack\" + 0.012*\"olympo\"\n", + "2019-01-31 01:30:52,911 : INFO : topic diff=0.002908, rho=0.021467\n", + "2019-01-31 01:30:53,064 : INFO : PROGRESS: pass 0, at document #4342000/4922894\n", + "2019-01-31 01:30:54,409 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:54,675 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.050*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:30:54,676 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:30:54,677 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:30:54,678 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:30:54,679 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.034*\"incumb\" + 0.014*\"islam\" + 0.012*\"pakistan\" + 0.011*\"muskoge\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.010*\"televis\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:30:54,685 : INFO : topic diff=0.002702, rho=0.021462\n", + "2019-01-31 01:30:54,842 : INFO : PROGRESS: pass 0, at document #4344000/4922894\n", + "2019-01-31 01:30:56,238 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:56,505 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:30:56,506 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.015*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:30:56,507 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.050*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:30:56,508 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:30:56,509 : INFO : topic #31 (0.020): 0.052*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:30:56,515 : INFO : topic diff=0.002941, rho=0.021457\n", + "2019-01-31 01:30:56,671 : INFO : PROGRESS: pass 0, at document #4346000/4922894\n", + "2019-01-31 01:30:58,028 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:30:58,295 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.026*\"scientist\" + 0.024*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:30:58,296 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.027*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:30:58,297 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:30:58,298 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:30:58,299 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:30:58,305 : INFO : topic diff=0.002348, rho=0.021452\n", + "2019-01-31 01:30:58,456 : INFO : PROGRESS: pass 0, at document #4348000/4922894\n", + "2019-01-31 01:30:59,810 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:00,076 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"horac\" + 0.010*\"squatter\"\n", + "2019-01-31 01:31:00,077 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.040*\"line\" + 0.033*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:31:00,078 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"govern\" + 0.006*\"citi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:31:00,079 : INFO : topic #47 (0.020): 0.063*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.015*\"damn\" + 0.014*\"physician\" + 0.013*\"orchestr\" + 0.012*\"jack\" + 0.012*\"olympo\"\n", + "2019-01-31 01:31:00,080 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:31:00,086 : INFO : topic diff=0.003482, rho=0.021447\n", + "2019-01-31 01:31:00,295 : INFO : PROGRESS: pass 0, at document #4350000/4922894\n", + "2019-01-31 01:31:01,662 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:01,928 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.019*\"player\" + 0.018*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:31:01,929 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:31:01,931 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:31:01,932 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.068*\"best\" + 0.033*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:31:01,933 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:31:01,939 : INFO : topic diff=0.002871, rho=0.021442\n", + "2019-01-31 01:31:02,094 : INFO : PROGRESS: pass 0, at document #4352000/4922894\n", + "2019-01-31 01:31:03,471 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:03,737 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.012*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:31:03,738 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.017*\"colder\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.016*\"artist\"\n", + "2019-01-31 01:31:03,739 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.077*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.068*\"notion\" + 0.068*\"juli\" + 0.067*\"august\" + 0.067*\"april\" + 0.066*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:31:03,740 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.040*\"line\" + 0.033*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:31:03,741 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.023*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:31:03,747 : INFO : topic diff=0.003177, rho=0.021437\n", + "2019-01-31 01:31:03,902 : INFO : PROGRESS: pass 0, at document #4354000/4922894\n", + "2019-01-31 01:31:05,256 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:05,522 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.017*\"israel\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"austria\" + 0.009*\"isra\"\n", + "2019-01-31 01:31:05,523 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:31:05,524 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.035*\"sovereignti\" + 0.033*\"rural\" + 0.027*\"poison\" + 0.027*\"reprint\" + 0.024*\"personifi\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.016*\"tyrant\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:31:05,525 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:31:05,527 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:31:05,532 : INFO : topic diff=0.002585, rho=0.021432\n", + "2019-01-31 01:31:05,685 : INFO : PROGRESS: pass 0, at document #4356000/4922894\n", + "2019-01-31 01:31:07,057 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:07,323 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"horac\" + 0.011*\"squatter\"\n", + "2019-01-31 01:31:07,325 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:31:07,326 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:31:07,327 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.067*\"august\" + 0.067*\"april\" + 0.066*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:31:07,328 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:31:07,333 : INFO : topic diff=0.003358, rho=0.021427\n", + "2019-01-31 01:31:07,491 : INFO : PROGRESS: pass 0, at document #4358000/4922894\n", + "2019-01-31 01:31:08,865 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:09,132 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.012*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:31:09,133 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:31:09,134 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"bank\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:31:09,135 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.019*\"player\" + 0.018*\"folei\" + 0.016*\"polit\" + 0.016*\"english\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:31:09,136 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"constitut\" + 0.011*\"centuri\" + 0.011*\"linear\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:31:09,142 : INFO : topic diff=0.003612, rho=0.021423\n", + "2019-01-31 01:31:11,808 : INFO : -11.610 per-word bound, 3126.5 perplexity estimate based on a held-out corpus of 2000 documents with 547628 words\n", + "2019-01-31 01:31:11,809 : INFO : PROGRESS: pass 0, at document #4360000/4922894\n", + "2019-01-31 01:31:13,182 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:13,448 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:31:13,450 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:31:13,451 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:31:13,452 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.011*\"horac\"\n", + "2019-01-31 01:31:13,453 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:31:13,458 : INFO : topic diff=0.003273, rho=0.021418\n", + "2019-01-31 01:31:13,615 : INFO : PROGRESS: pass 0, at document #4362000/4922894\n", + "2019-01-31 01:31:14,987 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:15,254 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.033*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.009*\"alam\"\n", + "2019-01-31 01:31:15,255 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.033*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:31:15,256 : INFO : topic #39 (0.020): 0.062*\"canada\" + 0.045*\"canadian\" + 0.025*\"toronto\" + 0.023*\"hoar\" + 0.020*\"ontario\" + 0.017*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:31:15,257 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:31:15,258 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"diggin\" + 0.007*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:31:15,264 : INFO : topic diff=0.002648, rho=0.021413\n", + "2019-01-31 01:31:15,418 : INFO : PROGRESS: pass 0, at document #4364000/4922894\n", + "2019-01-31 01:31:16,781 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:17,048 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:31:17,049 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"colder\" + 0.016*\"artist\" + 0.016*\"gai\" + 0.016*\"exhaust\"\n", + "2019-01-31 01:31:17,050 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.012*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:31:17,051 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.013*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"fool\" + 0.010*\"squatter\" + 0.010*\"horac\"\n", + "2019-01-31 01:31:17,052 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.019*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"grammat\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:31:17,058 : INFO : topic diff=0.003263, rho=0.021408\n", + "2019-01-31 01:31:17,216 : INFO : PROGRESS: pass 0, at document #4366000/4922894\n", + "2019-01-31 01:31:18,592 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:18,859 : INFO : topic #8 (0.020): 0.025*\"law\" + 0.022*\"cortic\" + 0.019*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.008*\"polaris\" + 0.007*\"judaism\"\n", + "2019-01-31 01:31:18,860 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.011*\"affection\" + 0.010*\"khalsa\" + 0.009*\"sri\"\n", + "2019-01-31 01:31:18,861 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.067*\"april\" + 0.067*\"august\" + 0.067*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:31:18,862 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.036*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:31:18,863 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:31:18,869 : INFO : topic diff=0.003353, rho=0.021403\n", + "2019-01-31 01:31:19,029 : INFO : PROGRESS: pass 0, at document #4368000/4922894\n", + "2019-01-31 01:31:20,431 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:20,697 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.027*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.021*\"alic\" + 0.020*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:31:20,698 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.033*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:31:20,700 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\" + 0.007*\"paul\"\n", + "2019-01-31 01:31:20,701 : INFO : topic #46 (0.020): 0.016*\"sweden\" + 0.016*\"stop\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwai\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.010*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:31:20,702 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"colder\" + 0.016*\"gai\" + 0.016*\"exhaust\"\n", + "2019-01-31 01:31:20,707 : INFO : topic diff=0.002580, rho=0.021398\n", + "2019-01-31 01:31:20,863 : INFO : PROGRESS: pass 0, at document #4370000/4922894\n", + "2019-01-31 01:31:22,214 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:22,481 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.024*\"schuster\" + 0.022*\"requir\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.018*\"student\" + 0.014*\"professor\" + 0.012*\"degre\" + 0.012*\"word\" + 0.011*\"http\"\n", + "2019-01-31 01:31:22,483 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:31:22,484 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.006*\"teratogen\" + 0.006*\"develop\" + 0.006*\"turn\"\n", + "2019-01-31 01:31:22,485 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.033*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:31:22,486 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.016*\"gai\"\n", + "2019-01-31 01:31:22,492 : INFO : topic diff=0.003363, rho=0.021393\n", + "2019-01-31 01:31:22,647 : INFO : PROGRESS: pass 0, at document #4372000/4922894\n", + "2019-01-31 01:31:24,017 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:24,284 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:31:24,285 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.019*\"player\" + 0.018*\"folei\" + 0.017*\"english\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:31:24,286 : INFO : topic #30 (0.020): 0.037*\"cleveland\" + 0.036*\"leagu\" + 0.029*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:31:24,287 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:31:24,288 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:31:24,294 : INFO : topic diff=0.003405, rho=0.021388\n", + "2019-01-31 01:31:24,447 : INFO : PROGRESS: pass 0, at document #4374000/4922894\n", + "2019-01-31 01:31:25,806 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:26,072 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.030*\"jpg\" + 0.029*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"colder\" + 0.016*\"gai\" + 0.016*\"exhaust\"\n", + "2019-01-31 01:31:26,073 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:31:26,074 : INFO : topic #46 (0.020): 0.016*\"sweden\" + 0.016*\"stop\" + 0.015*\"swedish\" + 0.014*\"wind\" + 0.014*\"norwai\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.010*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:31:26,075 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:31:26,076 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.025*\"minist\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.015*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:31:26,082 : INFO : topic diff=0.002791, rho=0.021383\n", + "2019-01-31 01:31:26,238 : INFO : PROGRESS: pass 0, at document #4376000/4922894\n", + "2019-01-31 01:31:27,614 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:27,880 : INFO : topic #46 (0.020): 0.016*\"sweden\" + 0.016*\"stop\" + 0.015*\"swedish\" + 0.014*\"norwai\" + 0.014*\"wind\" + 0.014*\"damag\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.010*\"turkish\" + 0.010*\"huntsvil\"\n", + "2019-01-31 01:31:27,881 : INFO : topic #37 (0.020): 0.013*\"charact\" + 0.012*\"septemb\" + 0.012*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:31:27,882 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.066*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:31:27,883 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:31:27,884 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.025*\"minist\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.015*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:31:27,890 : INFO : topic diff=0.002574, rho=0.021378\n", + "2019-01-31 01:31:28,048 : INFO : PROGRESS: pass 0, at document #4378000/4922894\n", + "2019-01-31 01:31:29,885 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:30,153 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.013*\"ret\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"find\" + 0.010*\"horac\" + 0.010*\"squatter\"\n", + "2019-01-31 01:31:30,154 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.025*\"christian\" + 0.024*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:31:30,156 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:31:30,157 : INFO : topic #25 (0.020): 0.034*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"mount\" + 0.015*\"warmth\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"vacant\"\n", + "2019-01-31 01:31:30,158 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:31:30,164 : INFO : topic diff=0.003235, rho=0.021374\n", + "2019-01-31 01:31:32,783 : INFO : -11.474 per-word bound, 2844.8 perplexity estimate based on a held-out corpus of 2000 documents with 538335 words\n", + "2019-01-31 01:31:32,783 : INFO : PROGRESS: pass 0, at document #4380000/4922894\n", + "2019-01-31 01:31:34,129 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:34,398 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.043*\"franc\" + 0.029*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.016*\"daphn\" + 0.015*\"wreath\" + 0.013*\"lazi\" + 0.013*\"loui\" + 0.011*\"piec\"\n", + "2019-01-31 01:31:34,399 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.076*\"octob\" + 0.076*\"sens\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.067*\"juli\" + 0.066*\"august\" + 0.065*\"april\" + 0.065*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:31:34,400 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.026*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:31:34,402 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.024*\"men\" + 0.024*\"olymp\" + 0.021*\"alic\" + 0.020*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"nation\"\n", + "2019-01-31 01:31:34,403 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:31:34,408 : INFO : topic diff=0.002900, rho=0.021369\n", + "2019-01-31 01:31:34,563 : INFO : PROGRESS: pass 0, at document #4382000/4922894\n", + "2019-01-31 01:31:36,206 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:36,473 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.015*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.013*\"brazil\"\n", + "2019-01-31 01:31:36,474 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"incom\" + 0.007*\"florida\" + 0.006*\"trap\"\n", + "2019-01-31 01:31:36,475 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.015*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:31:36,475 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.014*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:31:36,477 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.017*\"israel\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.009*\"isra\" + 0.009*\"austria\"\n", + "2019-01-31 01:31:36,482 : INFO : topic diff=0.003314, rho=0.021364\n", + "2019-01-31 01:31:36,694 : INFO : PROGRESS: pass 0, at document #4384000/4922894\n", + "2019-01-31 01:31:38,057 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:38,323 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.010*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:31:38,324 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.009*\"battalion\" + 0.008*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"till\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:31:38,325 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"mean\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:31:38,326 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.017*\"israel\" + 0.015*\"vol\" + 0.015*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"isra\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:31:38,327 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:31:38,333 : INFO : topic diff=0.002861, rho=0.021359\n", + "2019-01-31 01:31:38,486 : INFO : PROGRESS: pass 0, at document #4386000/4922894\n", + "2019-01-31 01:31:39,851 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:40,117 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:31:40,118 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.017*\"israel\" + 0.016*\"vol\" + 0.015*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"european\" + 0.010*\"isra\" + 0.009*\"austria\"\n", + "2019-01-31 01:31:40,120 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.015*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:31:40,121 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"christian\" + 0.023*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:31:40,122 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"mean\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:31:40,128 : INFO : topic diff=0.003414, rho=0.021354\n", + "2019-01-31 01:31:40,287 : INFO : PROGRESS: pass 0, at document #4388000/4922894\n", + "2019-01-31 01:31:41,845 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:42,114 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.023*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.013*\"militari\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:31:42,115 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.033*\"sovereignti\" + 0.033*\"rural\" + 0.026*\"reprint\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.016*\"tyrant\" + 0.015*\"czech\"\n", + "2019-01-31 01:31:42,116 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.015*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"vacant\" + 0.009*\"foam\"\n", + "2019-01-31 01:31:42,117 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.033*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:31:42,118 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"lizard\"\n", + "2019-01-31 01:31:42,124 : INFO : topic diff=0.003335, rho=0.021349\n", + "2019-01-31 01:31:42,282 : INFO : PROGRESS: pass 0, at document #4390000/4922894\n", + "2019-01-31 01:31:43,758 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:44,026 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.026*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:31:44,028 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"florida\" + 0.007*\"incom\" + 0.006*\"trap\"\n", + "2019-01-31 01:31:44,029 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 01:31:44,030 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.008*\"polaris\" + 0.007*\"judaism\"\n", + "2019-01-31 01:31:44,031 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"group\" + 0.009*\"commun\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:31:44,038 : INFO : topic diff=0.002902, rho=0.021344\n", + "2019-01-31 01:31:44,199 : INFO : PROGRESS: pass 0, at document #4392000/4922894\n", + "2019-01-31 01:31:45,610 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:45,876 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.029*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.014*\"wreath\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"wine\"\n", + "2019-01-31 01:31:45,877 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.018*\"buford\" + 0.015*\"histor\" + 0.011*\"constitut\" + 0.011*\"linear\" + 0.011*\"centuri\" + 0.010*\"silicon\" + 0.010*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:31:45,878 : INFO : topic #6 (0.020): 0.071*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:31:45,880 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.012*\"olympo\" + 0.012*\"jack\"\n", + "2019-01-31 01:31:45,881 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"method\"\n", + "2019-01-31 01:31:45,886 : INFO : topic diff=0.004120, rho=0.021339\n", + "2019-01-31 01:31:46,047 : INFO : PROGRESS: pass 0, at document #4394000/4922894\n", + "2019-01-31 01:31:47,440 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:47,706 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:31:47,707 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.015*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"brazil\" + 0.013*\"portugues\"\n", + "2019-01-31 01:31:47,708 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.024*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:31:47,709 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:31:47,710 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"seaport\" + 0.013*\"report\"\n", + "2019-01-31 01:31:47,716 : INFO : topic diff=0.003345, rho=0.021335\n", + "2019-01-31 01:31:47,874 : INFO : PROGRESS: pass 0, at document #4396000/4922894\n", + "2019-01-31 01:31:49,240 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:49,506 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:31:49,507 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.010*\"francisco\"\n", + "2019-01-31 01:31:49,508 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.024*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:31:49,509 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"act\" + 0.018*\"start\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:31:49,511 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.015*\"stop\" + 0.015*\"swedish\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.013*\"damag\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.010*\"denmark\" + 0.010*\"turkish\"\n", + "2019-01-31 01:31:49,517 : INFO : topic diff=0.002557, rho=0.021330\n", + "2019-01-31 01:31:49,675 : INFO : PROGRESS: pass 0, at document #4398000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:31:51,057 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:51,324 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:31:51,325 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.012*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:31:51,326 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:31:51,328 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.050*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.017*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:31:51,328 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:31:51,334 : INFO : topic diff=0.003255, rho=0.021325\n", + "2019-01-31 01:31:54,099 : INFO : -11.638 per-word bound, 3186.9 perplexity estimate based on a held-out corpus of 2000 documents with 582131 words\n", + "2019-01-31 01:31:54,100 : INFO : PROGRESS: pass 0, at document #4400000/4922894\n", + "2019-01-31 01:31:55,506 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:55,772 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.020*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"ret\" + 0.012*\"find\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.010*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:31:55,774 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:31:55,775 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:31:55,776 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.024*\"christian\" + 0.023*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:31:55,777 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.031*\"jpg\" + 0.030*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.019*\"illicit\" + 0.016*\"artist\" + 0.016*\"gai\" + 0.016*\"exhaust\" + 0.016*\"colder\"\n", + "2019-01-31 01:31:55,783 : INFO : topic diff=0.003138, rho=0.021320\n", + "2019-01-31 01:31:55,940 : INFO : PROGRESS: pass 0, at document #4402000/4922894\n", + "2019-01-31 01:31:57,314 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:57,580 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"nation\" + 0.024*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"seri\"\n", + "2019-01-31 01:31:57,581 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"grammat\" + 0.015*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"brazil\" + 0.012*\"portugues\"\n", + "2019-01-31 01:31:57,582 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:31:57,583 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.020*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:31:57,584 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"magazin\" + 0.011*\"nicola\"\n", + "2019-01-31 01:31:57,590 : INFO : topic diff=0.003187, rho=0.021315\n", + "2019-01-31 01:31:57,747 : INFO : PROGRESS: pass 0, at document #4404000/4922894\n", + "2019-01-31 01:31:59,323 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:31:59,589 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:31:59,590 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"poet\" + 0.007*\"gener\" + 0.007*\"servitud\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"method\"\n", + "2019-01-31 01:31:59,592 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.016*\"swedish\" + 0.016*\"stop\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.011*\"treeless\" + 0.010*\"denmark\" + 0.010*\"turkish\"\n", + "2019-01-31 01:31:59,593 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.011*\"word\" + 0.011*\"degre\" + 0.011*\"http\"\n", + "2019-01-31 01:31:59,594 : INFO : topic #21 (0.020): 0.034*\"samford\" + 0.023*\"spain\" + 0.017*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.013*\"santa\" + 0.011*\"carlo\" + 0.011*\"juan\" + 0.011*\"lizard\"\n", + "2019-01-31 01:31:59,599 : INFO : topic diff=0.003461, rho=0.021310\n", + "2019-01-31 01:31:59,757 : INFO : PROGRESS: pass 0, at document #4406000/4922894\n", + "2019-01-31 01:32:01,143 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:01,412 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.016*\"strategist\" + 0.014*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:32:01,413 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:32:01,414 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.011*\"affection\" + 0.011*\"televis\" + 0.011*\"anglo\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"singh\"\n", + "2019-01-31 01:32:01,415 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"mean\" + 0.009*\"form\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:32:01,416 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.043*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.019*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:32:01,422 : INFO : topic diff=0.003479, rho=0.021306\n", + "2019-01-31 01:32:01,580 : INFO : PROGRESS: pass 0, at document #4408000/4922894\n", + "2019-01-31 01:32:02,985 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:03,255 : INFO : topic #11 (0.020): 0.024*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:32:03,256 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"nation\" + 0.024*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"serv\" + 0.015*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:32:03,257 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.071*\"januari\" + 0.069*\"juli\" + 0.068*\"august\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.067*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:32:03,258 : INFO : topic #36 (0.020): 0.010*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:32:03,259 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"million\" + 0.012*\"busi\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:32:03,265 : INFO : topic diff=0.003051, rho=0.021301\n", + "2019-01-31 01:32:03,423 : INFO : PROGRESS: pass 0, at document #4410000/4922894\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:32:04,821 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:05,089 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.014*\"scot\" + 0.014*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:32:05,090 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.039*\"line\" + 0.032*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:32:05,091 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.008*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"diggin\" + 0.007*\"includ\"\n", + "2019-01-31 01:32:05,092 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.049*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.017*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:32:05,093 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:32:05,100 : INFO : topic diff=0.002522, rho=0.021296\n", + "2019-01-31 01:32:05,260 : INFO : PROGRESS: pass 0, at document #4412000/4922894\n", + "2019-01-31 01:32:06,650 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:06,917 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"israel\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.009*\"isra\" + 0.009*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:32:06,918 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.049*\"chilton\" + 0.024*\"kong\" + 0.024*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.017*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:32:06,919 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.025*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:32:06,920 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:32:06,921 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.012*\"anim\" + 0.010*\"man\" + 0.008*\"appear\" + 0.008*\"comic\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:32:06,927 : INFO : topic diff=0.003163, rho=0.021291\n", + "2019-01-31 01:32:07,152 : INFO : PROGRESS: pass 0, at document #4414000/4922894\n", + "2019-01-31 01:32:08,574 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:08,840 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.013*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:32:08,841 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.028*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.014*\"warrior\" + 0.013*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:32:08,842 : INFO : topic #4 (0.020): 0.018*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.006*\"teratogen\" + 0.006*\"develop\" + 0.006*\"turn\"\n", + "2019-01-31 01:32:08,843 : INFO : topic #31 (0.020): 0.049*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:32:08,844 : INFO : topic #9 (0.020): 0.072*\"bone\" + 0.042*\"american\" + 0.029*\"valour\" + 0.019*\"dutch\" + 0.019*\"player\" + 0.017*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:32:08,850 : INFO : topic diff=0.003536, rho=0.021286\n", + "2019-01-31 01:32:09,011 : INFO : PROGRESS: pass 0, at document #4416000/4922894\n", + "2019-01-31 01:32:10,390 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:10,660 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.031*\"jpg\" + 0.030*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"exhaust\" + 0.016*\"artist\" + 0.016*\"gai\" + 0.016*\"colder\"\n", + "2019-01-31 01:32:10,661 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:32:10,662 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.012*\"anim\" + 0.011*\"man\" + 0.008*\"appear\" + 0.007*\"comic\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:32:10,663 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:32:10,664 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.016*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.009*\"european\" + 0.009*\"isra\" + 0.009*\"austria\"\n", + "2019-01-31 01:32:10,670 : INFO : topic diff=0.003006, rho=0.021281\n", + "2019-01-31 01:32:10,831 : INFO : PROGRESS: pass 0, at document #4418000/4922894\n", + "2019-01-31 01:32:12,219 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:12,489 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.021*\"ontario\" + 0.016*\"new\" + 0.016*\"hydrogen\" + 0.016*\"novotná\" + 0.015*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:32:12,490 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.016*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.010*\"isra\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:32:12,491 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.016*\"italian\" + 0.016*\"mexico\" + 0.014*\"santa\" + 0.014*\"soviet\" + 0.012*\"juan\" + 0.011*\"lizard\" + 0.011*\"carlo\"\n", + "2019-01-31 01:32:12,492 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"till\" + 0.007*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:32:12,493 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:32:12,499 : INFO : topic diff=0.002996, rho=0.021277\n", + "2019-01-31 01:32:15,226 : INFO : -11.535 per-word bound, 2967.8 perplexity estimate based on a held-out corpus of 2000 documents with 568219 words\n", + "2019-01-31 01:32:15,226 : INFO : PROGRESS: pass 0, at document #4420000/4922894\n", + "2019-01-31 01:32:16,620 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:16,890 : INFO : topic #9 (0.020): 0.071*\"bone\" + 0.042*\"american\" + 0.028*\"valour\" + 0.019*\"dutch\" + 0.019*\"player\" + 0.018*\"folei\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:32:16,891 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.013*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:32:16,892 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:32:16,893 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"woman\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:32:16,894 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.016*\"swedish\" + 0.016*\"stop\" + 0.015*\"norwai\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.012*\"damag\" + 0.011*\"treeless\" + 0.010*\"turkish\" + 0.010*\"denmark\"\n", + "2019-01-31 01:32:16,900 : INFO : topic diff=0.002642, rho=0.021272\n", + "2019-01-31 01:32:17,063 : INFO : PROGRESS: pass 0, at document #4422000/4922894\n", + "2019-01-31 01:32:18,483 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:32:18,749 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:32:18,750 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:32:18,751 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.011*\"market\" + 0.011*\"produc\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:32:18,752 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.034*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.020*\"poland\" + 0.019*\"moscow\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:32:18,753 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.048*\"chilton\" + 0.024*\"kong\" + 0.023*\"hong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.017*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:32:18,759 : INFO : topic diff=0.003702, rho=0.021267\n", + "2019-01-31 01:32:18,915 : INFO : PROGRESS: pass 0, at document #4424000/4922894\n", + "2019-01-31 01:32:20,314 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:20,580 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:32:20,581 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.025*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:32:20,582 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.011*\"olympo\" + 0.011*\"jack\"\n", + "2019-01-31 01:32:20,583 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.016*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.010*\"isra\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:32:20,584 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:32:20,590 : INFO : topic diff=0.002791, rho=0.021262\n", + "2019-01-31 01:32:20,752 : INFO : PROGRESS: pass 0, at document #4426000/4922894\n", + "2019-01-31 01:32:22,164 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:22,430 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:32:22,432 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:32:22,433 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:32:22,434 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.039*\"line\" + 0.032*\"raid\" + 0.031*\"rivièr\" + 0.026*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:32:22,435 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.046*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.019*\"citi\"\n", + "2019-01-31 01:32:22,441 : INFO : topic diff=0.002783, rho=0.021257\n", + "2019-01-31 01:32:22,603 : INFO : PROGRESS: pass 0, at document #4428000/4922894\n", + "2019-01-31 01:32:24,014 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:24,281 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:32:24,282 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:32:24,283 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:32:24,285 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:32:24,286 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.011*\"televis\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"alam\"\n", + "2019-01-31 01:32:24,292 : INFO : topic diff=0.003561, rho=0.021253\n", + "2019-01-31 01:32:24,449 : INFO : PROGRESS: pass 0, at document #4430000/4922894\n", + "2019-01-31 01:32:25,831 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:26,098 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.039*\"line\" + 0.032*\"raid\" + 0.031*\"rivièr\" + 0.026*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:32:26,099 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"grammat\" + 0.016*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"order\"\n", + "2019-01-31 01:32:26,100 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.023*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"wreath\" + 0.011*\"piec\"\n", + "2019-01-31 01:32:26,101 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.035*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.025*\"reprint\" + 0.023*\"personifi\" + 0.020*\"poland\" + 0.019*\"moscow\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:32:26,103 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"florida\" + 0.007*\"incom\"\n", + "2019-01-31 01:32:26,109 : INFO : topic diff=0.003078, rho=0.021248\n", + "2019-01-31 01:32:26,264 : INFO : PROGRESS: pass 0, at document #4432000/4922894\n", + "2019-01-31 01:32:27,626 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:27,893 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.031*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.019*\"idiosyncrat\" + 0.017*\"grammat\" + 0.016*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"brazil\"\n", + "2019-01-31 01:32:27,894 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"florida\" + 0.007*\"incom\"\n", + "2019-01-31 01:32:27,895 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:32:27,896 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"minist\" + 0.025*\"nation\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.015*\"gener\" + 0.015*\"serv\" + 0.013*\"seri\"\n", + "2019-01-31 01:32:27,898 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.007*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:32:27,903 : INFO : topic diff=0.002767, rho=0.021243\n", + "2019-01-31 01:32:28,061 : INFO : PROGRESS: pass 0, at document #4434000/4922894\n", + "2019-01-31 01:32:29,436 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:29,702 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.011*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"uruguayan\" + 0.007*\"known\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:32:29,703 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.032*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.011*\"affection\" + 0.011*\"anglo\" + 0.011*\"muskoge\" + 0.011*\"televis\" + 0.010*\"alam\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:32:29,705 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.016*\"israel\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.013*\"jewish\" + 0.010*\"isra\" + 0.010*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:32:29,706 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.016*\"stop\" + 0.015*\"swedish\" + 0.015*\"norwai\" + 0.015*\"wind\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.011*\"treeless\" + 0.011*\"turkish\" + 0.010*\"denmark\"\n", + "2019-01-31 01:32:29,707 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.025*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:32:29,713 : INFO : topic diff=0.003246, rho=0.021238\n", + "2019-01-31 01:32:29,868 : INFO : PROGRESS: pass 0, at document #4436000/4922894\n", + "2019-01-31 01:32:31,219 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:31,485 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:32:31,486 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"legal\" + 0.009*\"polaris\" + 0.007*\"justic\"\n", + "2019-01-31 01:32:31,488 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"edit\" + 0.014*\"presid\" + 0.012*\"worldwid\" + 0.011*\"author\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:32:31,489 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.022*\"candid\" + 0.019*\"taxpay\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"ret\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.010*\"champion\"\n", + "2019-01-31 01:32:31,490 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.041*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.009*\"district\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 01:32:31,496 : INFO : topic diff=0.002800, rho=0.021233\n", + "2019-01-31 01:32:31,654 : INFO : PROGRESS: pass 0, at document #4438000/4922894\n", + "2019-01-31 01:32:33,035 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:33,302 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.033*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.017*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.011*\"olympo\" + 0.011*\"jack\"\n", + "2019-01-31 01:32:33,303 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.032*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"affection\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"alam\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:32:33,304 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.066*\"best\" + 0.035*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:32:33,305 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:32:33,306 : INFO : topic #48 (0.020): 0.084*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.072*\"januari\" + 0.070*\"juli\" + 0.069*\"notion\" + 0.068*\"august\" + 0.068*\"april\" + 0.067*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:32:33,312 : INFO : topic diff=0.003157, rho=0.021229\n", + "2019-01-31 01:32:35,995 : INFO : -11.712 per-word bound, 3354.2 perplexity estimate based on a held-out corpus of 2000 documents with 556876 words\n", + "2019-01-31 01:32:35,995 : INFO : PROGRESS: pass 0, at document #4440000/4922894\n", + "2019-01-31 01:32:37,370 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:37,637 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.011*\"ret\" + 0.011*\"squatter\" + 0.011*\"fool\" + 0.010*\"champion\"\n", + "2019-01-31 01:32:37,638 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.025*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:32:37,640 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.020*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.011*\"wreath\"\n", + "2019-01-31 01:32:37,641 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:32:37,642 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.021*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:32:37,648 : INFO : topic diff=0.002234, rho=0.021224\n", + "2019-01-31 01:32:37,807 : INFO : PROGRESS: pass 0, at document #4442000/4922894\n", + "2019-01-31 01:32:39,195 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:39,461 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:32:39,462 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.072*\"januari\" + 0.070*\"juli\" + 0.070*\"notion\" + 0.069*\"august\" + 0.068*\"april\" + 0.067*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:32:39,463 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.045*\"american\" + 0.027*\"valour\" + 0.019*\"player\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.017*\"polit\" + 0.017*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:32:39,465 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.025*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.011*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:32:39,466 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:32:39,472 : INFO : topic diff=0.003017, rho=0.021219\n", + "2019-01-31 01:32:39,627 : INFO : PROGRESS: pass 0, at document #4444000/4922894\n", + "2019-01-31 01:32:40,993 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:41,260 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"method\"\n", + "2019-01-31 01:32:41,261 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"florida\" + 0.007*\"incom\"\n", + "2019-01-31 01:32:41,263 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.066*\"best\" + 0.035*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.017*\"intern\" + 0.014*\"winner\"\n", + "2019-01-31 01:32:41,264 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.006*\"teratogen\" + 0.006*\"develop\" + 0.006*\"turn\"\n", + "2019-01-31 01:32:41,265 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:32:41,271 : INFO : topic diff=0.003178, rho=0.021214\n", + "2019-01-31 01:32:41,483 : INFO : PROGRESS: pass 0, at document #4446000/4922894\n", + "2019-01-31 01:32:42,859 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:43,126 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.019*\"duke\" + 0.018*\"grammat\" + 0.016*\"quarterli\" + 0.013*\"kingdom\" + 0.012*\"portugues\" + 0.012*\"order\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:32:43,127 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.027*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.023*\"alic\" + 0.020*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:32:43,128 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:32:43,130 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:32:43,131 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:32:43,137 : INFO : topic diff=0.003520, rho=0.021209\n", + "2019-01-31 01:32:43,287 : INFO : PROGRESS: pass 0, at document #4448000/4922894\n", + "2019-01-31 01:32:44,621 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:44,887 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.006*\"teratogen\" + 0.006*\"turn\" + 0.006*\"develop\"\n", + "2019-01-31 01:32:44,888 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:32:44,889 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.024*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:32:44,890 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.048*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.016*\"leah\" + 0.015*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:32:44,892 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.035*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.020*\"poland\" + 0.019*\"moscow\" + 0.014*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:32:44,897 : INFO : topic diff=0.003505, rho=0.021205\n", + "2019-01-31 01:32:45,058 : INFO : PROGRESS: pass 0, at document #4450000/4922894\n", + "2019-01-31 01:32:46,444 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:46,709 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"isra\"\n", + "2019-01-31 01:32:46,710 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.073*\"januari\" + 0.071*\"juli\" + 0.070*\"notion\" + 0.069*\"august\" + 0.068*\"april\" + 0.068*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:32:46,712 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:32:46,713 : INFO : topic #17 (0.020): 0.077*\"church\" + 0.025*\"christian\" + 0.023*\"cathol\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.017*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:32:46,714 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:32:46,720 : INFO : topic diff=0.003222, rho=0.021200\n", + "2019-01-31 01:32:46,879 : INFO : PROGRESS: pass 0, at document #4452000/4922894\n", + "2019-01-31 01:32:48,242 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:48,508 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.039*\"line\" + 0.032*\"raid\" + 0.032*\"rivièr\" + 0.026*\"rosenwald\" + 0.019*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:32:48,509 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"hot\"\n", + "2019-01-31 01:32:48,510 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.016*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"josé\"\n", + "2019-01-31 01:32:48,512 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:32:48,513 : INFO : topic #35 (0.020): 0.054*\"russia\" + 0.035*\"sovereignti\" + 0.032*\"rural\" + 0.026*\"poison\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.021*\"poland\" + 0.019*\"moscow\" + 0.014*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:32:48,519 : INFO : topic diff=0.002718, rho=0.021195\n", + "2019-01-31 01:32:48,677 : INFO : PROGRESS: pass 0, at document #4454000/4922894\n", + "2019-01-31 01:32:50,054 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:50,321 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:32:50,322 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"london\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"ireland\" + 0.019*\"british\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:32:50,323 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.066*\"best\" + 0.035*\"yawn\" + 0.031*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.017*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:32:50,324 : INFO : topic #46 (0.020): 0.019*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"stop\" + 0.015*\"norwegian\" + 0.014*\"wind\" + 0.012*\"damag\" + 0.011*\"denmark\" + 0.011*\"turkish\" + 0.011*\"treeless\"\n", + "2019-01-31 01:32:50,325 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.047*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:32:50,331 : INFO : topic diff=0.003525, rho=0.021190\n", + "2019-01-31 01:32:50,491 : INFO : PROGRESS: pass 0, at document #4456000/4922894\n", + "2019-01-31 01:32:51,867 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:52,133 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.031*\"jpg\" + 0.030*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.015*\"gai\"\n", + "2019-01-31 01:32:52,135 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:32:52,136 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.039*\"line\" + 0.032*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:32:52,137 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"author\" + 0.011*\"storag\" + 0.011*\"nicola\"\n", + "2019-01-31 01:32:52,138 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.047*\"canadian\" + 0.024*\"toronto\" + 0.022*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:32:52,144 : INFO : topic diff=0.003538, rho=0.021186\n", + "2019-01-31 01:32:52,304 : INFO : PROGRESS: pass 0, at document #4458000/4922894\n", + "2019-01-31 01:32:53,679 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:53,945 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"minist\" + 0.025*\"nation\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.017*\"gener\" + 0.015*\"serv\" + 0.014*\"seri\"\n", + "2019-01-31 01:32:53,946 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.012*\"tornado\" + 0.012*\"driver\" + 0.012*\"ret\" + 0.012*\"find\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"yawn\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:32:53,948 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:32:53,949 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.023*\"kong\" + 0.022*\"hong\" + 0.022*\"korea\" + 0.018*\"korean\" + 0.017*\"sourc\" + 0.016*\"leah\" + 0.015*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:32:53,950 : INFO : topic #48 (0.020): 0.085*\"march\" + 0.079*\"octob\" + 0.078*\"sens\" + 0.072*\"januari\" + 0.071*\"juli\" + 0.069*\"notion\" + 0.069*\"april\" + 0.068*\"august\" + 0.068*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:32:53,956 : INFO : topic diff=0.003069, rho=0.021181\n", + "2019-01-31 01:32:56,584 : INFO : -11.398 per-word bound, 2699.5 perplexity estimate based on a held-out corpus of 2000 documents with 559111 words\n", + "2019-01-31 01:32:56,585 : INFO : PROGRESS: pass 0, at document #4460000/4922894\n", + "2019-01-31 01:32:57,928 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:58,195 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:32:58,196 : INFO : topic #14 (0.020): 0.025*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:32:58,197 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:32:58,199 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"land\" + 0.008*\"lobe\"\n", + "2019-01-31 01:32:58,200 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"ret\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.010*\"yawn\"\n", + "2019-01-31 01:32:58,206 : INFO : topic diff=0.003532, rho=0.021176\n", + "2019-01-31 01:32:58,357 : INFO : PROGRESS: pass 0, at document #4462000/4922894\n", + "2019-01-31 01:32:59,688 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:32:59,954 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.006*\"encyclopedia\" + 0.006*\"develop\" + 0.006*\"turn\"\n", + "2019-01-31 01:32:59,955 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:32:59,956 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.039*\"line\" + 0.031*\"raid\" + 0.031*\"rivièr\" + 0.025*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:32:59,958 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"anim\" + 0.011*\"septemb\" + 0.010*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:32:59,959 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"till\" + 0.007*\"govern\" + 0.006*\"militari\"\n", + "2019-01-31 01:32:59,965 : INFO : topic diff=0.003904, rho=0.021171\n", + "2019-01-31 01:33:00,119 : INFO : PROGRESS: pass 0, at document #4464000/4922894\n", + "2019-01-31 01:33:01,463 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:01,729 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:33:01,730 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.071*\"januari\" + 0.070*\"notion\" + 0.070*\"juli\" + 0.067*\"august\" + 0.067*\"april\" + 0.066*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:33:01,732 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.025*\"christian\" + 0.023*\"cathol\" + 0.022*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:33:01,733 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:33:01,734 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:33:01,740 : INFO : topic diff=0.002838, rho=0.021167\n", + "2019-01-31 01:33:01,898 : INFO : PROGRESS: pass 0, at document #4466000/4922894\n", + "2019-01-31 01:33:03,272 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:03,538 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.038*\"sovereignti\" + 0.032*\"rural\" + 0.025*\"poison\" + 0.025*\"reprint\" + 0.024*\"personifi\" + 0.020*\"poland\" + 0.019*\"moscow\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:33:03,539 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.014*\"center\" + 0.013*\"open\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"area\"\n", + "2019-01-31 01:33:03,540 : INFO : topic #48 (0.020): 0.083*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.071*\"januari\" + 0.070*\"juli\" + 0.070*\"notion\" + 0.067*\"april\" + 0.067*\"august\" + 0.067*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:33:03,542 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:33:03,543 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.032*\"priest\" + 0.019*\"idiosyncrat\" + 0.019*\"rotterdam\" + 0.019*\"duke\" + 0.017*\"grammat\" + 0.016*\"quarterli\" + 0.013*\"portugues\" + 0.013*\"kingdom\" + 0.012*\"count\"\n", + "2019-01-31 01:33:03,549 : INFO : topic diff=0.003055, rho=0.021162\n", + "2019-01-31 01:33:03,706 : INFO : PROGRESS: pass 0, at document #4468000/4922894\n", + "2019-01-31 01:33:05,085 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:05,351 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.022*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:33:05,353 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.033*\"new\" + 0.032*\"american\" + 0.028*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.014*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:33:05,354 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:33:05,355 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.013*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.011*\"francisco\"\n", + "2019-01-31 01:33:05,356 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:33:05,362 : INFO : topic diff=0.003160, rho=0.021157\n", + "2019-01-31 01:33:05,518 : INFO : PROGRESS: pass 0, at document #4470000/4922894\n", + "2019-01-31 01:33:06,895 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:07,161 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.020*\"sail\" + 0.016*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:33:07,162 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.014*\"pour\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.008*\"mode\" + 0.006*\"develop\" + 0.006*\"encyclopedia\" + 0.006*\"teratogen\"\n", + "2019-01-31 01:33:07,164 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.015*\"clot\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:33:07,165 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.024*\"alic\" + 0.024*\"men\" + 0.020*\"medal\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:33:07,166 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:33:07,172 : INFO : topic diff=0.002901, rho=0.021152\n", + "2019-01-31 01:33:07,326 : INFO : PROGRESS: pass 0, at document #4472000/4922894\n", + "2019-01-31 01:33:08,682 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:08,949 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:33:08,950 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"serv\"\n", + "2019-01-31 01:33:08,951 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:33:08,952 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:33:08,954 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:33:08,960 : INFO : topic diff=0.003029, rho=0.021148\n", + "2019-01-31 01:33:09,111 : INFO : PROGRESS: pass 0, at document #4474000/4922894\n", + "2019-01-31 01:33:10,450 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:10,717 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.015*\"stop\" + 0.015*\"norwegian\" + 0.015*\"wind\" + 0.012*\"damag\" + 0.011*\"turkish\" + 0.011*\"denmark\" + 0.010*\"treeless\"\n", + "2019-01-31 01:33:10,718 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.070*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.067*\"judici\" + 0.066*\"august\" + 0.066*\"april\" + 0.065*\"decatur\"\n", + "2019-01-31 01:33:10,719 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.018*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:33:10,720 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:33:10,721 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.008*\"cytokin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:33:10,727 : INFO : topic diff=0.003180, rho=0.021143\n", + "2019-01-31 01:33:10,888 : INFO : PROGRESS: pass 0, at document #4476000/4922894\n", + "2019-01-31 01:33:12,265 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:12,531 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.068*\"best\" + 0.036*\"yawn\" + 0.031*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:33:12,532 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"class\"\n", + "2019-01-31 01:33:12,533 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.024*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.016*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:33:12,535 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:33:12,536 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.040*\"line\" + 0.031*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.014*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:33:12,542 : INFO : topic diff=0.003230, rho=0.021138\n", + "2019-01-31 01:33:12,758 : INFO : PROGRESS: pass 0, at document #4478000/4922894\n", + "2019-01-31 01:33:14,173 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:14,439 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:33:14,440 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:33:14,441 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"affection\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:33:14,442 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:33:14,444 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.023*\"alic\" + 0.020*\"event\" + 0.020*\"medal\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:33:14,449 : INFO : topic diff=0.004110, rho=0.021134\n", + "2019-01-31 01:33:17,200 : INFO : -11.560 per-word bound, 3019.7 perplexity estimate based on a held-out corpus of 2000 documents with 586810 words\n", + "2019-01-31 01:33:17,200 : INFO : PROGRESS: pass 0, at document #4480000/4922894\n", + "2019-01-31 01:33:18,607 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:18,874 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:33:18,875 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"southern\" + 0.006*\"poet\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"field\"\n", + "2019-01-31 01:33:18,877 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.014*\"orchestr\" + 0.011*\"olympo\" + 0.011*\"jack\"\n", + "2019-01-31 01:33:18,878 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.024*\"minist\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.016*\"gener\" + 0.015*\"serv\" + 0.014*\"seri\"\n", + "2019-01-31 01:33:18,879 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.010*\"muskoge\" + 0.010*\"affection\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:33:18,884 : INFO : topic diff=0.003466, rho=0.021129\n", + "2019-01-31 01:33:19,046 : INFO : PROGRESS: pass 0, at document #4482000/4922894\n", + "2019-01-31 01:33:20,449 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:20,715 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.006*\"till\" + 0.006*\"militari\"\n", + "2019-01-31 01:33:20,717 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"lizard\" + 0.010*\"francisco\"\n", + "2019-01-31 01:33:20,718 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:33:20,719 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.025*\"london\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.019*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:33:20,720 : INFO : topic #27 (0.020): 0.077*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.012*\"driver\" + 0.011*\"find\" + 0.010*\"yawn\" + 0.010*\"champion\"\n", + "2019-01-31 01:33:20,726 : INFO : topic diff=0.002771, rho=0.021124\n", + "2019-01-31 01:33:20,884 : INFO : PROGRESS: pass 0, at document #4484000/4922894\n", + "2019-01-31 01:33:22,267 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:22,534 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:33:22,535 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.010*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:33:22,536 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:33:22,537 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.018*\"duke\" + 0.018*\"grammat\" + 0.016*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"princ\"\n", + "2019-01-31 01:33:22,538 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"selma\"\n", + "2019-01-31 01:33:22,544 : INFO : topic diff=0.003295, rho=0.021119\n", + "2019-01-31 01:33:22,702 : INFO : PROGRESS: pass 0, at document #4486000/4922894\n", + "2019-01-31 01:33:24,087 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:24,354 : INFO : topic #21 (0.020): 0.038*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.012*\"juan\" + 0.011*\"lizard\" + 0.010*\"francisco\"\n", + "2019-01-31 01:33:24,355 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.032*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.018*\"duke\" + 0.018*\"grammat\" + 0.016*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"princ\"\n", + "2019-01-31 01:33:24,356 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.068*\"best\" + 0.036*\"yawn\" + 0.031*\"jacksonvil\" + 0.023*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"festiv\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:33:24,357 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:33:24,358 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.023*\"alic\" + 0.020*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:33:24,364 : INFO : topic diff=0.003386, rho=0.021115\n", + "2019-01-31 01:33:24,523 : INFO : PROGRESS: pass 0, at document #4488000/4922894\n", + "2019-01-31 01:33:25,876 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:26,145 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:33:26,146 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.010*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:33:26,147 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.039*\"line\" + 0.032*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:33:26,149 : INFO : topic #17 (0.020): 0.078*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.018*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"parish\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:33:26,149 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"octob\" + 0.078*\"sens\" + 0.071*\"januari\" + 0.070*\"notion\" + 0.069*\"juli\" + 0.068*\"august\" + 0.067*\"april\" + 0.067*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:33:26,155 : INFO : topic diff=0.003947, rho=0.021110\n", + "2019-01-31 01:33:26,312 : INFO : PROGRESS: pass 0, at document #4490000/4922894\n", + "2019-01-31 01:33:27,678 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:27,944 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:33:27,946 : INFO : topic #27 (0.020): 0.077*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.013*\"ret\" + 0.012*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.010*\"champion\" + 0.010*\"squatter\"\n", + "2019-01-31 01:33:27,947 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.050*\"chilton\" + 0.022*\"kong\" + 0.022*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"kim\" + 0.016*\"sourc\" + 0.013*\"shirin\"\n", + "2019-01-31 01:33:27,948 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.031*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:33:27,949 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:33:27,955 : INFO : topic diff=0.003029, rho=0.021105\n", + "2019-01-31 01:33:28,114 : INFO : PROGRESS: pass 0, at document #4492000/4922894\n", + "2019-01-31 01:33:29,517 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:29,784 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.031*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:33:29,785 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:33:29,786 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"workplac\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:33:29,787 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:33:29,788 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.009*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.008*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:33:29,794 : INFO : topic diff=0.003244, rho=0.021101\n", + "2019-01-31 01:33:29,953 : INFO : PROGRESS: pass 0, at document #4494000/4922894\n", + "2019-01-31 01:33:31,323 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:31,590 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.010*\"western\" + 0.009*\"genu\" + 0.009*\"biom\" + 0.008*\"median\" + 0.008*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:33:31,591 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:33:31,592 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:33:31,593 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:33:31,594 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:33:31,600 : INFO : topic diff=0.003030, rho=0.021096\n", + "2019-01-31 01:33:31,753 : INFO : PROGRESS: pass 0, at document #4496000/4922894\n", + "2019-01-31 01:33:33,112 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:33,380 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:33:33,381 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:33:33,382 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:33:33,383 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:33:33,384 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.026*\"new\" + 0.026*\"sourc\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:33:33,390 : INFO : topic diff=0.003168, rho=0.021091\n", + "2019-01-31 01:33:33,552 : INFO : PROGRESS: pass 0, at document #4498000/4922894\n", + "2019-01-31 01:33:34,972 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:35,238 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:33:35,239 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:33:35,240 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.028*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:33:35,241 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.029*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:33:35,242 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.071*\"januari\" + 0.069*\"notion\" + 0.069*\"juli\" + 0.067*\"august\" + 0.067*\"april\" + 0.066*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:33:35,248 : INFO : topic diff=0.003618, rho=0.021087\n", + "2019-01-31 01:33:37,925 : INFO : -11.841 per-word bound, 3667.8 perplexity estimate based on a held-out corpus of 2000 documents with 535707 words\n", + "2019-01-31 01:33:37,926 : INFO : PROGRESS: pass 0, at document #4500000/4922894\n", + "2019-01-31 01:33:39,306 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:39,572 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.022*\"alic\" + 0.020*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:33:39,573 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:33:39,574 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:33:39,575 : INFO : topic #46 (0.020): 0.018*\"sweden\" + 0.017*\"norwai\" + 0.016*\"swedish\" + 0.016*\"norwegian\" + 0.016*\"stop\" + 0.014*\"wind\" + 0.011*\"damag\" + 0.011*\"turkish\" + 0.011*\"denmark\" + 0.010*\"farid\"\n", + "2019-01-31 01:33:39,576 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.008*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:33:39,582 : INFO : topic diff=0.003336, rho=0.021082\n", + "2019-01-31 01:33:39,744 : INFO : PROGRESS: pass 0, at document #4502000/4922894\n", + "2019-01-31 01:33:41,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:41,411 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.010*\"muskoge\" + 0.010*\"sri\" + 0.010*\"affection\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:33:41,412 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:33:41,413 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.014*\"selma\" + 0.013*\"bypass\"\n", + "2019-01-31 01:33:41,414 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"fool\" + 0.012*\"driver\" + 0.011*\"ret\" + 0.011*\"find\" + 0.010*\"champion\" + 0.010*\"squatter\"\n", + "2019-01-31 01:33:41,415 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"sack\" + 0.007*\"later\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:33:41,421 : INFO : topic diff=0.003045, rho=0.021077\n", + "2019-01-31 01:33:41,582 : INFO : PROGRESS: pass 0, at document #4504000/4922894\n", + "2019-01-31 01:33:42,980 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:43,247 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"sack\" + 0.007*\"later\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:33:43,248 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:33:43,249 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:33:43,250 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.040*\"struggl\" + 0.034*\"high\" + 0.029*\"educ\" + 0.025*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:33:43,251 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"driver\" + 0.011*\"find\" + 0.011*\"ret\" + 0.010*\"squatter\" + 0.010*\"champion\"\n", + "2019-01-31 01:33:43,257 : INFO : topic diff=0.003388, rho=0.021072\n", + "2019-01-31 01:33:43,418 : INFO : PROGRESS: pass 0, at document #4506000/4922894\n", + "2019-01-31 01:33:44,805 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:45,072 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.030*\"jpg\" + 0.030*\"fifteenth\" + 0.027*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.016*\"artist\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.015*\"gai\"\n", + "2019-01-31 01:33:45,073 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"field\"\n", + "2019-01-31 01:33:45,074 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:33:45,075 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:33:45,076 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.006*\"govern\" + 0.006*\"pour\" + 0.006*\"militari\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:33:45,082 : INFO : topic diff=0.003315, rho=0.021068\n", + "2019-01-31 01:33:45,246 : INFO : PROGRESS: pass 0, at document #4508000/4922894\n", + "2019-01-31 01:33:46,671 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:46,937 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.035*\"publicis\" + 0.026*\"word\" + 0.020*\"new\" + 0.015*\"edit\" + 0.015*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:33:46,939 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:33:46,940 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:33:46,941 : INFO : topic #6 (0.020): 0.070*\"fewer\" + 0.024*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:33:46,942 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.020*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:33:46,948 : INFO : topic diff=0.005003, rho=0.021063\n", + "2019-01-31 01:33:47,107 : INFO : PROGRESS: pass 0, at document #4510000/4922894\n", + "2019-01-31 01:33:48,486 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:48,753 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:33:48,754 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.008*\"frontal\" + 0.007*\"southern\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"field\"\n", + "2019-01-31 01:33:48,755 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 01:33:48,756 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.022*\"institut\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:33:48,757 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.016*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:33:48,763 : INFO : topic diff=0.002978, rho=0.021058\n", + "2019-01-31 01:33:48,979 : INFO : PROGRESS: pass 0, at document #4512000/4922894\n", + "2019-01-31 01:33:50,344 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:50,610 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.031*\"perceptu\" + 0.019*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.017*\"physician\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"son\"\n", + "2019-01-31 01:33:50,611 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:33:50,612 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.032*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.017*\"duke\" + 0.017*\"grammat\" + 0.016*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"princ\"\n", + "2019-01-31 01:33:50,613 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:33:50,615 : INFO : topic #42 (0.020): 0.045*\"german\" + 0.031*\"germani\" + 0.017*\"vol\" + 0.016*\"israel\" + 0.015*\"der\" + 0.015*\"jewish\" + 0.013*\"berlin\" + 0.010*\"isra\" + 0.009*\"european\" + 0.009*\"austria\"\n", + "2019-01-31 01:33:50,620 : INFO : topic diff=0.003161, rho=0.021054\n", + "2019-01-31 01:33:50,776 : INFO : PROGRESS: pass 0, at document #4514000/4922894\n", + "2019-01-31 01:33:52,140 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:52,407 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.021*\"candid\" + 0.019*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.012*\"find\" + 0.012*\"driver\" + 0.011*\"ret\" + 0.010*\"champion\" + 0.010*\"horac\"\n", + "2019-01-31 01:33:52,408 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.047*\"canadian\" + 0.024*\"toronto\" + 0.022*\"ontario\" + 0.021*\"hoar\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:33:52,409 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:33:52,410 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.017*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:33:52,411 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:33:52,417 : INFO : topic diff=0.003314, rho=0.021049\n", + "2019-01-31 01:33:52,575 : INFO : PROGRESS: pass 0, at document #4516000/4922894\n", + "2019-01-31 01:33:53,961 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:54,228 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.013*\"prognosi\" + 0.010*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:33:54,229 : INFO : topic #34 (0.020): 0.065*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.028*\"unionist\" + 0.027*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:33:54,230 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.018*\"duke\" + 0.017*\"grammat\" + 0.016*\"quarterli\" + 0.014*\"portugues\" + 0.013*\"kingdom\" + 0.012*\"princ\"\n", + "2019-01-31 01:33:54,231 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:33:54,232 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"personifi\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.019*\"moscow\" + 0.019*\"poland\" + 0.015*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:33:54,237 : INFO : topic diff=0.003146, rho=0.021044\n", + "2019-01-31 01:33:54,394 : INFO : PROGRESS: pass 0, at document #4518000/4922894\n", + "2019-01-31 01:33:55,762 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:33:56,029 : INFO : topic #39 (0.020): 0.061*\"canada\" + 0.047*\"canadian\" + 0.024*\"toronto\" + 0.022*\"ontario\" + 0.021*\"hoar\" + 0.016*\"hydrogen\" + 0.015*\"new\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:33:56,030 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:33:56,031 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:33:56,032 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.008*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.006*\"govern\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 01:33:56,033 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.039*\"line\" + 0.032*\"raid\" + 0.031*\"rivièr\" + 0.025*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:33:56,039 : INFO : topic diff=0.002334, rho=0.021040\n", + "2019-01-31 01:33:59,719 : INFO : -11.583 per-word bound, 3068.0 perplexity estimate based on a held-out corpus of 2000 documents with 562568 words\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:33:59,720 : INFO : PROGRESS: pass 0, at document #4520000/4922894\n", + "2019-01-31 01:34:01,117 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:01,383 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.016*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:34:01,385 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.048*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.018*\"leah\" + 0.018*\"korean\" + 0.016*\"sourc\" + 0.015*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:34:01,386 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.019*\"rotterdam\" + 0.019*\"idiosyncrat\" + 0.018*\"duke\" + 0.017*\"grammat\" + 0.016*\"quarterli\" + 0.014*\"portugues\" + 0.014*\"kingdom\" + 0.012*\"princ\"\n", + "2019-01-31 01:34:01,387 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:34:01,388 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"anim\" + 0.011*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:34:01,394 : INFO : topic diff=0.003146, rho=0.021035\n", + "2019-01-31 01:34:01,552 : INFO : PROGRESS: pass 0, at document #4522000/4922894\n", + "2019-01-31 01:34:02,926 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:03,193 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.040*\"shield\" + 0.017*\"narrat\" + 0.017*\"scot\" + 0.013*\"pope\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:03,194 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.020*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.018*\"duke\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.014*\"portugues\" + 0.013*\"kingdom\" + 0.012*\"princ\"\n", + "2019-01-31 01:34:03,195 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.024*\"offic\" + 0.022*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.016*\"gener\" + 0.015*\"serv\" + 0.014*\"council\"\n", + "2019-01-31 01:34:03,197 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.030*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.015*\"colder\" + 0.015*\"gai\"\n", + "2019-01-31 01:34:03,198 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.024*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.011*\"piec\" + 0.008*\"wine\"\n", + "2019-01-31 01:34:03,204 : INFO : topic diff=0.003080, rho=0.021031\n", + "2019-01-31 01:34:03,361 : INFO : PROGRESS: pass 0, at document #4524000/4922894\n", + "2019-01-31 01:34:04,739 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:05,006 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:34:05,007 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.030*\"perceptu\" + 0.019*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"physician\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.012*\"olympo\" + 0.012*\"son\"\n", + "2019-01-31 01:34:05,009 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.020*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"unionist\" + 0.014*\"oper\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:34:05,010 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.017*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.015*\"norwegian\" + 0.013*\"wind\" + 0.013*\"treeless\" + 0.013*\"damag\" + 0.011*\"turkish\" + 0.010*\"denmark\"\n", + "2019-01-31 01:34:05,011 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.009*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:34:05,018 : INFO : topic diff=0.003270, rho=0.021026\n", + "2019-01-31 01:34:05,178 : INFO : PROGRESS: pass 0, at document #4526000/4922894\n", + "2019-01-31 01:34:06,572 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:06,838 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.032*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"affection\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:34:06,839 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.013*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:34:06,841 : INFO : topic #42 (0.020): 0.046*\"german\" + 0.031*\"germani\" + 0.017*\"vol\" + 0.015*\"berlin\" + 0.015*\"israel\" + 0.015*\"jewish\" + 0.015*\"der\" + 0.009*\"austria\" + 0.009*\"isra\" + 0.009*\"european\"\n", + "2019-01-31 01:34:06,842 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"measur\"\n", + "2019-01-31 01:34:06,843 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.017*\"scot\" + 0.013*\"pope\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:06,849 : INFO : topic diff=0.003658, rho=0.021021\n", + "2019-01-31 01:34:07,008 : INFO : PROGRESS: pass 0, at document #4528000/4922894\n", + "2019-01-31 01:34:08,390 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:08,657 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.021*\"alic\" + 0.020*\"medal\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:34:08,658 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.016*\"margin\" + 0.016*\"yawn\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:34:08,659 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:34:08,660 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:34:08,662 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:34:08,667 : INFO : topic diff=0.002950, rho=0.021017\n", + "2019-01-31 01:34:08,827 : INFO : PROGRESS: pass 0, at document #4530000/4922894\n", + "2019-01-31 01:34:10,222 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:10,489 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:34:10,490 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:34:10,491 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"octob\" + 0.076*\"sens\" + 0.072*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.067*\"april\" + 0.066*\"august\" + 0.066*\"decatur\" + 0.065*\"judici\"\n", + "2019-01-31 01:34:10,492 : INFO : topic #4 (0.020): 0.021*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.008*\"elabor\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:34:10,494 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.024*\"minist\" + 0.024*\"nation\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.016*\"gener\" + 0.015*\"serv\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:34:10,499 : INFO : topic diff=0.003394, rho=0.021012\n", + "2019-01-31 01:34:10,658 : INFO : PROGRESS: pass 0, at document #4532000/4922894\n", + "2019-01-31 01:34:12,061 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:12,327 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:34:12,328 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:34:12,329 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.012*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:34:12,331 : INFO : topic #45 (0.020): 0.045*\"arsen\" + 0.030*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.015*\"exhaust\" + 0.015*\"colder\" + 0.015*\"gai\"\n", + "2019-01-31 01:34:12,332 : INFO : topic #36 (0.020): 0.010*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"user\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:34:12,338 : INFO : topic diff=0.003423, rho=0.021007\n", + "2019-01-31 01:34:12,496 : INFO : PROGRESS: pass 0, at document #4534000/4922894\n", + "2019-01-31 01:34:13,891 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:14,157 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:34:14,159 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:34:14,160 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.026*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:34:14,161 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:34:14,162 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.017*\"scot\" + 0.013*\"nativist\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:14,168 : INFO : topic diff=0.003446, rho=0.021003\n", + "2019-01-31 01:34:14,320 : INFO : PROGRESS: pass 0, at document #4536000/4922894\n", + "2019-01-31 01:34:15,669 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:15,936 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.067*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.017*\"festiv\" + 0.016*\"intern\" + 0.014*\"prison\"\n", + "2019-01-31 01:34:15,937 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.017*\"scot\" + 0.013*\"nativist\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:15,938 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.008*\"lobe\" + 0.008*\"foam\"\n", + "2019-01-31 01:34:15,939 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:34:15,940 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:34:15,946 : INFO : topic diff=0.003079, rho=0.020998\n", + "2019-01-31 01:34:16,102 : INFO : PROGRESS: pass 0, at document #4538000/4922894\n", + "2019-01-31 01:34:17,470 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:17,737 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"personifi\" + 0.025*\"reprint\" + 0.024*\"poison\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:34:17,738 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.013*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:34:17,739 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.023*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:34:17,740 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.016*\"republ\" + 0.014*\"selma\" + 0.014*\"report\" + 0.014*\"bypass\"\n", + "2019-01-31 01:34:17,741 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.018*\"factor\" + 0.011*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:34:17,747 : INFO : topic diff=0.003340, rho=0.020993\n", + "2019-01-31 01:34:20,452 : INFO : -11.600 per-word bound, 3103.9 perplexity estimate based on a held-out corpus of 2000 documents with 563320 words\n", + "2019-01-31 01:34:20,453 : INFO : PROGRESS: pass 0, at document #4540000/4922894\n", + "2019-01-31 01:34:21,832 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:22,099 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.021*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:34:22,100 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"alic\" + 0.020*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:34:22,101 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:34:22,102 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.017*\"scot\" + 0.013*\"nativist\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:22,104 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:34:22,110 : INFO : topic diff=0.003248, rho=0.020989\n", + "2019-01-31 01:34:22,323 : INFO : PROGRESS: pass 0, at document #4542000/4922894\n", + "2019-01-31 01:34:23,690 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:23,956 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:34:23,957 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.015*\"berlin\" + 0.015*\"der\" + 0.014*\"israel\" + 0.009*\"austria\" + 0.009*\"european\" + 0.009*\"isra\"\n", + "2019-01-31 01:34:23,959 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"selma\" + 0.014*\"report\" + 0.014*\"bypass\"\n", + "2019-01-31 01:34:23,960 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"alic\" + 0.020*\"medal\" + 0.020*\"event\" + 0.019*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:34:23,961 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:34:23,967 : INFO : topic diff=0.003207, rho=0.020984\n", + "2019-01-31 01:34:24,123 : INFO : PROGRESS: pass 0, at document #4544000/4922894\n", + "2019-01-31 01:34:25,498 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:25,765 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.016*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"lobe\" + 0.008*\"palmer\"\n", + "2019-01-31 01:34:25,766 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"paul\" + 0.007*\"rhyme\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:34:25,767 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 01:34:25,768 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.069*\"notion\" + 0.068*\"juli\" + 0.067*\"april\" + 0.067*\"august\" + 0.066*\"decatur\" + 0.065*\"judici\"\n", + "2019-01-31 01:34:25,769 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.024*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:34:25,775 : INFO : topic diff=0.003201, rho=0.020980\n", + "2019-01-31 01:34:25,930 : INFO : PROGRESS: pass 0, at document #4546000/4922894\n", + "2019-01-31 01:34:27,301 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:27,567 : INFO : topic #36 (0.020): 0.011*\"prognosi\" + 0.010*\"network\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"diggin\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:34:27,568 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.020*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"find\" + 0.011*\"ret\" + 0.010*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:34:27,570 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:34:27,571 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.024*\"offic\" + 0.024*\"nation\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.016*\"gener\" + 0.015*\"serv\" + 0.014*\"seri\"\n", + "2019-01-31 01:34:27,572 : INFO : topic #40 (0.020): 0.088*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:34:27,578 : INFO : topic diff=0.003255, rho=0.020975\n", + "2019-01-31 01:34:27,739 : INFO : PROGRESS: pass 0, at document #4548000/4922894\n", + "2019-01-31 01:34:29,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:29,410 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.016*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.013*\"treeless\" + 0.012*\"damag\" + 0.010*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:34:29,411 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"théori\" + 0.006*\"measur\"\n", + "2019-01-31 01:34:29,412 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:34:29,413 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.020*\"armi\" + 0.020*\"aggress\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.014*\"unionist\" + 0.012*\"militari\" + 0.012*\"diversifi\" + 0.012*\"airbu\"\n", + "2019-01-31 01:34:29,414 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.017*\"scot\" + 0.013*\"nativist\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:29,420 : INFO : topic diff=0.003421, rho=0.020970\n", + "2019-01-31 01:34:29,583 : INFO : PROGRESS: pass 0, at document #4550000/4922894\n", + "2019-01-31 01:34:30,991 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:31,258 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.018*\"strategist\" + 0.014*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:34:31,259 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.013*\"pakistan\" + 0.012*\"televis\" + 0.011*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"affection\" + 0.010*\"sri\"\n", + "2019-01-31 01:34:31,260 : INFO : topic #22 (0.020): 0.032*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:34:31,261 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.013*\"wind\" + 0.012*\"treeless\" + 0.012*\"damag\" + 0.010*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:34:31,262 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:34:31,268 : INFO : topic diff=0.003661, rho=0.020966\n", + "2019-01-31 01:34:31,429 : INFO : PROGRESS: pass 0, at document #4552000/4922894\n", + "2019-01-31 01:34:32,847 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:33,114 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"govern\" + 0.006*\"pour\" + 0.006*\"militari\"\n", + "2019-01-31 01:34:33,115 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:34:33,116 : INFO : topic #43 (0.020): 0.064*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"selma\" + 0.014*\"bypass\"\n", + "2019-01-31 01:34:33,117 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.022*\"bishop\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.010*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:34:33,118 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.030*\"perceptu\" + 0.019*\"compos\" + 0.019*\"theater\" + 0.017*\"place\" + 0.015*\"physician\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"son\"\n", + "2019-01-31 01:34:33,124 : INFO : topic diff=0.003049, rho=0.020961\n", + "2019-01-31 01:34:33,284 : INFO : PROGRESS: pass 0, at document #4554000/4922894\n", + "2019-01-31 01:34:34,680 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:34,947 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:34:34,948 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:34:34,949 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:34:34,950 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.039*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.024*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:34:34,951 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"user\" + 0.008*\"uruguayan\" + 0.007*\"includ\"\n", + "2019-01-31 01:34:34,957 : INFO : topic diff=0.003596, rho=0.020956\n", + "2019-01-31 01:34:35,107 : INFO : PROGRESS: pass 0, at document #4556000/4922894\n", + "2019-01-31 01:34:36,430 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:36,696 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.009*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:34:36,697 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.030*\"perceptu\" + 0.019*\"theater\" + 0.019*\"compos\" + 0.017*\"place\" + 0.015*\"physician\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"son\"\n", + "2019-01-31 01:34:36,698 : INFO : topic #45 (0.020): 0.046*\"arsen\" + 0.030*\"jpg\" + 0.029*\"fifteenth\" + 0.029*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.015*\"gai\" + 0.015*\"colder\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:34:36,699 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"woman\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:34:36,700 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.041*\"line\" + 0.032*\"rivièr\" + 0.030*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:34:36,706 : INFO : topic diff=0.003217, rho=0.020952\n", + "2019-01-31 01:34:36,866 : INFO : PROGRESS: pass 0, at document #4558000/4922894\n", + "2019-01-31 01:34:38,242 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:38,508 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"woman\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:34:38,510 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:34:38,511 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.076*\"sens\" + 0.075*\"octob\" + 0.070*\"januari\" + 0.067*\"april\" + 0.066*\"notion\" + 0.066*\"august\" + 0.066*\"juli\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 01:34:38,511 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:34:38,513 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.047*\"american\" + 0.027*\"valour\" + 0.018*\"player\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:34:38,519 : INFO : topic diff=0.003054, rho=0.020947\n", + "2019-01-31 01:34:41,191 : INFO : -11.745 per-word bound, 3432.3 perplexity estimate based on a held-out corpus of 2000 documents with 548948 words\n", + "2019-01-31 01:34:41,191 : INFO : PROGRESS: pass 0, at document #4560000/4922894\n", + "2019-01-31 01:34:42,556 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:42,822 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.007*\"florida\"\n", + "2019-01-31 01:34:42,823 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.039*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"personifi\" + 0.025*\"poison\" + 0.025*\"reprint\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:34:42,824 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"http\" + 0.011*\"degre\"\n", + "2019-01-31 01:34:42,825 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.022*\"bishop\" + 0.022*\"cathol\" + 0.017*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"poll\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:34:42,827 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.009*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:34:42,832 : INFO : topic diff=0.003177, rho=0.020943\n", + "2019-01-31 01:34:42,988 : INFO : PROGRESS: pass 0, at document #4562000/4922894\n", + "2019-01-31 01:34:44,357 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:44,623 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"woman\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:34:44,624 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.025*\"personifi\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:34:44,625 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:34:44,627 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:34:44,628 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.016*\"scot\" + 0.012*\"nativist\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.010*\"fleet\" + 0.009*\"class\"\n", + "2019-01-31 01:34:44,633 : INFO : topic diff=0.003266, rho=0.020938\n", + "2019-01-31 01:34:44,790 : INFO : PROGRESS: pass 0, at document #4564000/4922894\n", + "2019-01-31 01:34:46,175 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:46,442 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.020*\"armi\" + 0.020*\"aggress\" + 0.020*\"walter\" + 0.018*\"com\" + 0.015*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.012*\"diversifi\"\n", + "2019-01-31 01:34:46,443 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"battalion\" + 0.009*\"forc\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"govern\" + 0.006*\"teufel\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:34:46,444 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"norwai\" + 0.015*\"swedish\" + 0.014*\"norwegian\" + 0.014*\"damag\" + 0.013*\"wind\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:34:46,445 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.043*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.011*\"piec\" + 0.011*\"loui\" + 0.009*\"wine\"\n", + "2019-01-31 01:34:46,446 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"method\" + 0.006*\"exampl\" + 0.006*\"utopian\" + 0.006*\"measur\"\n", + "2019-01-31 01:34:46,452 : INFO : topic diff=0.003177, rho=0.020934\n", + "2019-01-31 01:34:46,616 : INFO : PROGRESS: pass 0, at document #4566000/4922894\n", + "2019-01-31 01:34:48,031 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:48,298 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.006*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"kenworthi\"\n", + "2019-01-31 01:34:48,299 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.025*\"woman\" + 0.024*\"men\" + 0.024*\"olymp\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:34:48,300 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.043*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.021*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.011*\"loui\" + 0.009*\"wine\"\n", + "2019-01-31 01:34:48,301 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"selma\" + 0.014*\"bypass\"\n", + "2019-01-31 01:34:48,301 : INFO : topic #30 (0.020): 0.036*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:34:48,307 : INFO : topic diff=0.004027, rho=0.020929\n", + "2019-01-31 01:34:48,467 : INFO : PROGRESS: pass 0, at document #4568000/4922894\n", + "2019-01-31 01:34:49,856 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:50,122 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.025*\"offic\" + 0.025*\"nation\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.016*\"gener\" + 0.015*\"serv\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:34:50,123 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.019*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:34:50,125 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"anglo\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"affection\" + 0.010*\"sri\"\n", + "2019-01-31 01:34:50,126 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.016*\"scot\" + 0.012*\"pope\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:34:50,127 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.028*\"museo\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.015*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:34:50,133 : INFO : topic diff=0.003309, rho=0.020924\n", + "2019-01-31 01:34:50,290 : INFO : PROGRESS: pass 0, at document #4570000/4922894\n", + "2019-01-31 01:34:51,668 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:51,935 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.025*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 01:34:51,936 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:34:51,937 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.016*\"scot\" + 0.012*\"pope\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:51,938 : INFO : topic #49 (0.020): 0.041*\"india\" + 0.031*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.010*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"affection\" + 0.010*\"sri\"\n", + "2019-01-31 01:34:51,939 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.048*\"chilton\" + 0.024*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:34:51,944 : INFO : topic diff=0.003055, rho=0.020920\n", + "2019-01-31 01:34:52,103 : INFO : PROGRESS: pass 0, at document #4572000/4922894\n", + "2019-01-31 01:34:53,499 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:53,765 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"ret\" + 0.011*\"find\" + 0.010*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:34:53,766 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.016*\"scot\" + 0.012*\"pope\" + 0.012*\"nativist\" + 0.012*\"blur\" + 0.010*\"coalit\" + 0.009*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:34:53,767 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.016*\"jewish\" + 0.015*\"israel\" + 0.015*\"berlin\" + 0.014*\"der\" + 0.010*\"isra\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:34:53,768 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.034*\"tortur\" + 0.033*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:34:53,769 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.009*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:34:53,775 : INFO : topic diff=0.004102, rho=0.020915\n", + "2019-01-31 01:34:53,986 : INFO : PROGRESS: pass 0, at document #4574000/4922894\n", + "2019-01-31 01:34:55,374 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:55,640 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.048*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.020*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.012*\"shirin\"\n", + "2019-01-31 01:34:55,641 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:34:55,642 : INFO : topic #0 (0.020): 0.063*\"statewid\" + 0.041*\"line\" + 0.032*\"rivièr\" + 0.030*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.010*\"transient\"\n", + "2019-01-31 01:34:55,643 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:34:55,644 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.026*\"poison\" + 0.025*\"reprint\" + 0.025*\"personifi\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:34:55,649 : INFO : topic diff=0.002974, rho=0.020911\n", + "2019-01-31 01:34:55,805 : INFO : PROGRESS: pass 0, at document #4576000/4922894\n", + "2019-01-31 01:34:57,181 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:57,447 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.008*\"lobe\" + 0.008*\"palmer\"\n", + "2019-01-31 01:34:57,448 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.034*\"rural\" + 0.025*\"reprint\" + 0.025*\"poison\" + 0.025*\"personifi\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"unfortun\" + 0.015*\"tyrant\"\n", + "2019-01-31 01:34:57,449 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.022*\"bishop\" + 0.016*\"sail\" + 0.016*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 01:34:57,450 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:34:57,451 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.056*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.014*\"selma\"\n", + "2019-01-31 01:34:57,457 : INFO : topic diff=0.003470, rho=0.020906\n", + "2019-01-31 01:34:57,614 : INFO : PROGRESS: pass 0, at document #4578000/4922894\n", + "2019-01-31 01:34:58,984 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:34:59,251 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.018*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.008*\"lobe\" + 0.008*\"palmer\"\n", + "2019-01-31 01:34:59,252 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.016*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"lizard\" + 0.010*\"francisco\"\n", + "2019-01-31 01:34:59,253 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.012*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:34:59,254 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.014*\"histor\" + 0.012*\"linear\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.011*\"silicon\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:34:59,254 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.034*\"tortur\" + 0.033*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:34:59,260 : INFO : topic diff=0.003281, rho=0.020901\n", + "2019-01-31 01:35:01,933 : INFO : -11.547 per-word bound, 2992.5 perplexity estimate based on a held-out corpus of 2000 documents with 547904 words\n", + "2019-01-31 01:35:01,933 : INFO : PROGRESS: pass 0, at document #4580000/4922894\n", + "2019-01-31 01:35:03,305 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:03,572 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:35:03,573 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.019*\"folei\" + 0.018*\"player\" + 0.018*\"dutch\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:35:03,574 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.032*\"priest\" + 0.021*\"rotterdam\" + 0.018*\"duke\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.013*\"portugues\" + 0.012*\"princ\"\n", + "2019-01-31 01:35:03,575 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.015*\"edit\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\" + 0.011*\"storag\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:35:03,576 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:35:03,582 : INFO : topic diff=0.002793, rho=0.020897\n", + "2019-01-31 01:35:03,741 : INFO : PROGRESS: pass 0, at document #4582000/4922894\n", + "2019-01-31 01:35:05,120 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:05,386 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.008*\"median\" + 0.008*\"biom\" + 0.008*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:35:05,387 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.031*\"jpg\" + 0.029*\"museo\" + 0.029*\"fifteenth\" + 0.021*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:35:05,388 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"utopian\" + 0.006*\"southern\"\n", + "2019-01-31 01:35:05,389 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:35:05,390 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.070*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:35:05,396 : INFO : topic diff=0.003381, rho=0.020892\n", + "2019-01-31 01:35:05,555 : INFO : PROGRESS: pass 0, at document #4584000/4922894\n", + "2019-01-31 01:35:06,947 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:07,213 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:35:07,214 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"method\" + 0.006*\"utopian\" + 0.006*\"southern\"\n", + "2019-01-31 01:35:07,215 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:35:07,216 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"proper\" + 0.007*\"caus\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:35:07,218 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:35:07,223 : INFO : topic diff=0.003149, rho=0.020888\n", + "2019-01-31 01:35:07,379 : INFO : PROGRESS: pass 0, at document #4586000/4922894\n", + "2019-01-31 01:35:08,751 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:09,019 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.016*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.012*\"nativist\" + 0.010*\"coalit\" + 0.010*\"fleet\" + 0.010*\"class\"\n", + "2019-01-31 01:35:09,020 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.019*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:35:09,021 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:35:09,022 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:35:09,023 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.017*\"mexico\" + 0.017*\"del\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"francisco\"\n", + "2019-01-31 01:35:09,028 : INFO : topic diff=0.003194, rho=0.020883\n", + "2019-01-31 01:35:09,187 : INFO : PROGRESS: pass 0, at document #4588000/4922894\n", + "2019-01-31 01:35:10,564 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:10,830 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:35:10,831 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.043*\"franc\" + 0.031*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.012*\"loui\" + 0.009*\"wine\"\n", + "2019-01-31 01:35:10,833 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.019*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.011*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 01:35:10,834 : INFO : topic #20 (0.020): 0.145*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:35:10,835 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:35:10,840 : INFO : topic diff=0.002834, rho=0.020879\n", + "2019-01-31 01:35:10,998 : INFO : PROGRESS: pass 0, at document #4590000/4922894\n", + "2019-01-31 01:35:12,397 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:12,663 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.077*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.069*\"april\" + 0.069*\"juli\" + 0.068*\"august\" + 0.068*\"notion\" + 0.066*\"decatur\" + 0.066*\"judici\"\n", + "2019-01-31 01:35:12,664 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:35:12,665 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.019*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:35:12,666 : INFO : topic #23 (0.020): 0.136*\"audit\" + 0.069*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.015*\"prison\"\n", + "2019-01-31 01:35:12,667 : INFO : topic #4 (0.020): 0.020*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"uruguayan\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.007*\"veget\" + 0.007*\"turn\" + 0.006*\"teratogen\" + 0.006*\"stanc\"\n", + "2019-01-31 01:35:12,673 : INFO : topic diff=0.002706, rho=0.020874\n", + "2019-01-31 01:35:12,831 : INFO : PROGRESS: pass 0, at document #4592000/4922894\n", + "2019-01-31 01:35:14,204 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:14,470 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.035*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:35:14,471 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:35:14,472 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.023*\"toronto\" + 0.023*\"hoar\" + 0.023*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"novotná\" + 0.015*\"new\" + 0.014*\"misericordia\" + 0.013*\"quebec\"\n", + "2019-01-31 01:35:14,473 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"woman\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:35:14,474 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:35:14,480 : INFO : topic diff=0.003560, rho=0.020870\n", + "2019-01-31 01:35:14,636 : INFO : PROGRESS: pass 0, at document #4594000/4922894\n", + "2019-01-31 01:35:15,990 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:16,256 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.017*\"mexico\" + 0.017*\"del\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"lizard\" + 0.010*\"francisco\"\n", + "2019-01-31 01:35:16,257 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.019*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:35:16,258 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.031*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.016*\"damn\" + 0.014*\"physician\" + 0.013*\"olympo\" + 0.013*\"orchestr\" + 0.011*\"son\"\n", + "2019-01-31 01:35:16,259 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:35:16,261 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.019*\"candid\" + 0.018*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"ret\" + 0.011*\"find\" + 0.010*\"landslid\" + 0.010*\"squatter\"\n", + "2019-01-31 01:35:16,266 : INFO : topic diff=0.003182, rho=0.020865\n", + "2019-01-31 01:35:16,420 : INFO : PROGRESS: pass 0, at document #4596000/4922894\n", + "2019-01-31 01:35:17,766 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:18,032 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"selma\" + 0.014*\"bypass\" + 0.014*\"report\"\n", + "2019-01-31 01:35:18,033 : INFO : topic #1 (0.020): 0.057*\"china\" + 0.049*\"chilton\" + 0.023*\"kong\" + 0.023*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:35:18,034 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.012*\"loui\" + 0.010*\"wreath\"\n", + "2019-01-31 01:35:18,035 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:35:18,036 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.017*\"mexico\" + 0.017*\"del\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:35:18,042 : INFO : topic diff=0.003279, rho=0.020861\n", + "2019-01-31 01:35:18,208 : INFO : PROGRESS: pass 0, at document #4598000/4922894\n", + "2019-01-31 01:35:19,622 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:19,888 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.046*\"american\" + 0.026*\"valour\" + 0.019*\"folei\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:35:19,889 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"jame\" + 0.011*\"will\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:35:19,890 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:35:19,891 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.027*\"cotton\" + 0.022*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"north\" + 0.012*\"terri\"\n", + "2019-01-31 01:35:19,892 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:35:19,898 : INFO : topic diff=0.003189, rho=0.020856\n", + "2019-01-31 01:35:22,686 : INFO : -11.689 per-word bound, 3302.6 perplexity estimate based on a held-out corpus of 2000 documents with 598140 words\n", + "2019-01-31 01:35:22,687 : INFO : PROGRESS: pass 0, at document #4600000/4922894\n", + "2019-01-31 01:35:24,102 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:24,369 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.031*\"museo\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:35:24,370 : INFO : topic #28 (0.020): 0.035*\"build\" + 0.031*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.011*\"silicon\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:35:24,371 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.008*\"lobe\"\n", + "2019-01-31 01:35:24,372 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.069*\"april\" + 0.069*\"juli\" + 0.069*\"august\" + 0.068*\"notion\" + 0.066*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:35:24,373 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.025*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.022*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"rainfal\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:35:24,379 : INFO : topic diff=0.003067, rho=0.020851\n", + "2019-01-31 01:35:24,537 : INFO : PROGRESS: pass 0, at document #4602000/4922894\n", + "2019-01-31 01:35:25,897 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:26,163 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"ret\" + 0.010*\"landslid\" + 0.010*\"squatter\"\n", + "2019-01-31 01:35:26,164 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.046*\"american\" + 0.026*\"valour\" + 0.020*\"folei\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:35:26,165 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:35:26,166 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.069*\"juli\" + 0.069*\"august\" + 0.069*\"april\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:35:26,167 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.034*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.022*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:35:26,173 : INFO : topic diff=0.003019, rho=0.020847\n", + "2019-01-31 01:35:26,327 : INFO : PROGRESS: pass 0, at document #4604000/4922894\n", + "2019-01-31 01:35:27,697 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:27,963 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"sens\" + 0.077*\"octob\" + 0.071*\"januari\" + 0.070*\"juli\" + 0.069*\"august\" + 0.069*\"april\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:35:27,964 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.016*\"martin\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.012*\"winner\"\n", + "2019-01-31 01:35:27,966 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:35:27,967 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"selma\" + 0.014*\"bypass\" + 0.014*\"report\"\n", + "2019-01-31 01:35:27,968 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.015*\"israel\" + 0.015*\"berlin\" + 0.014*\"der\" + 0.009*\"isra\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:35:27,973 : INFO : topic diff=0.002804, rho=0.020842\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:35:28,132 : INFO : PROGRESS: pass 0, at document #4606000/4922894\n", + "2019-01-31 01:35:29,514 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:29,780 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:35:29,781 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:35:29,782 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:35:29,783 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.010*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:35:29,784 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.015*\"sweden\" + 0.015*\"swedish\" + 0.014*\"norwai\" + 0.014*\"damag\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:35:29,790 : INFO : topic diff=0.002650, rho=0.020838\n", + "2019-01-31 01:35:30,005 : INFO : PROGRESS: pass 0, at document #4608000/4922894\n", + "2019-01-31 01:35:31,372 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:31,639 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"minist\" + 0.025*\"offic\" + 0.025*\"nation\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.016*\"gener\" + 0.015*\"serv\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:35:31,640 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"upturn\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"fleet\"\n", + "2019-01-31 01:35:31,641 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"faster\" + 0.013*\"life\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:35:31,642 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.015*\"edit\" + 0.011*\"nicola\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 01:35:31,643 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"ret\" + 0.010*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:35:31,649 : INFO : topic diff=0.003006, rho=0.020833\n", + "2019-01-31 01:35:31,809 : INFO : PROGRESS: pass 0, at document #4610000/4922894\n", + "2019-01-31 01:35:33,211 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:33,478 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.022*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:35:33,479 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"utopian\" + 0.006*\"method\" + 0.006*\"measur\"\n", + "2019-01-31 01:35:33,480 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.015*\"edit\" + 0.011*\"nicola\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"storag\"\n", + "2019-01-31 01:35:33,481 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.016*\"martin\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.013*\"tiepolo\" + 0.012*\"women\"\n", + "2019-01-31 01:35:33,482 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.068*\"best\" + 0.036*\"yawn\" + 0.030*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:35:33,488 : INFO : topic diff=0.003296, rho=0.020829\n", + "2019-01-31 01:35:33,649 : INFO : PROGRESS: pass 0, at document #4612000/4922894\n", + "2019-01-31 01:35:35,041 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:35,308 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.011*\"loui\" + 0.010*\"wreath\"\n", + "2019-01-31 01:35:35,309 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:35:35,310 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:35:35,311 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:35:35,312 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.025*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:35:35,318 : INFO : topic diff=0.003460, rho=0.020824\n", + "2019-01-31 01:35:35,475 : INFO : PROGRESS: pass 0, at document #4614000/4922894\n", + "2019-01-31 01:35:36,845 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:37,112 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.025*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:35:37,113 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.047*\"american\" + 0.026*\"valour\" + 0.019*\"folei\" + 0.019*\"dutch\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.012*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:35:37,114 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.040*\"line\" + 0.032*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:35:37,115 : INFO : topic #20 (0.020): 0.146*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:35:37,116 : INFO : topic #46 (0.020): 0.017*\"stop\" + 0.016*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwai\" + 0.014*\"damag\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:35:37,122 : INFO : topic diff=0.002780, rho=0.020820\n", + "2019-01-31 01:35:37,278 : INFO : PROGRESS: pass 0, at document #4616000/4922894\n", + "2019-01-31 01:35:38,655 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:38,921 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"depress\" + 0.011*\"linear\" + 0.011*\"centuri\" + 0.011*\"silicon\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:35:38,922 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.031*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.013*\"physician\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:35:38,923 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:35:38,925 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:35:38,925 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.034*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"area\" + 0.021*\"multitud\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:35:38,931 : INFO : topic diff=0.002501, rho=0.020815\n", + "2019-01-31 01:35:39,091 : INFO : PROGRESS: pass 0, at document #4618000/4922894\n", + "2019-01-31 01:35:40,492 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:35:40,759 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.006*\"teufel\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:35:40,760 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.031*\"museo\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:35:40,762 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.007*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:35:40,763 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.020*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:35:40,764 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"minist\" + 0.025*\"nation\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.016*\"gener\" + 0.015*\"serv\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:35:40,770 : INFO : topic diff=0.002865, rho=0.020811\n", + "2019-01-31 01:35:43,446 : INFO : -11.793 per-word bound, 3548.8 perplexity estimate based on a held-out corpus of 2000 documents with 539496 words\n", + "2019-01-31 01:35:43,446 : INFO : PROGRESS: pass 0, at document #4620000/4922894\n", + "2019-01-31 01:35:44,816 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:45,082 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:35:45,084 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.039*\"line\" + 0.031*\"rivièr\" + 0.031*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:35:45,085 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"medal\" + 0.021*\"alic\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:35:45,086 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.016*\"daphn\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.012*\"loui\" + 0.009*\"wine\"\n", + "2019-01-31 01:35:45,087 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"report\" + 0.014*\"bypass\" + 0.014*\"selma\"\n", + "2019-01-31 01:35:45,092 : INFO : topic diff=0.002813, rho=0.020806\n", + "2019-01-31 01:35:45,255 : INFO : PROGRESS: pass 0, at document #4622000/4922894\n", + "2019-01-31 01:35:46,673 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:46,939 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:35:46,940 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.015*\"jewish\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.009*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:35:46,941 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.069*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.025*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:35:46,942 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:35:46,943 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.024*\"cathol\" + 0.024*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"poll\"\n", + "2019-01-31 01:35:46,949 : INFO : topic diff=0.003733, rho=0.020802\n", + "2019-01-31 01:35:47,108 : INFO : PROGRESS: pass 0, at document #4624000/4922894\n", + "2019-01-31 01:35:48,501 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:48,767 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:35:48,768 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"jame\" + 0.011*\"will\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:35:48,769 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:35:48,770 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:35:48,771 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.047*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.016*\"misericordia\" + 0.015*\"novotná\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"quebec\"\n", + "2019-01-31 01:35:48,777 : INFO : topic diff=0.003301, rho=0.020797\n", + "2019-01-31 01:35:48,933 : INFO : PROGRESS: pass 0, at document #4626000/4922894\n", + "2019-01-31 01:35:50,301 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:50,568 : INFO : topic #48 (0.020): 0.082*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.072*\"januari\" + 0.069*\"juli\" + 0.069*\"april\" + 0.068*\"august\" + 0.068*\"notion\" + 0.067*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:35:50,569 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.013*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"judaism\"\n", + "2019-01-31 01:35:50,570 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.025*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:35:50,571 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.015*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:35:50,572 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:35:50,578 : INFO : topic diff=0.003136, rho=0.020793\n", + "2019-01-31 01:35:50,735 : INFO : PROGRESS: pass 0, at document #4628000/4922894\n", + "2019-01-31 01:35:52,108 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:52,374 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.014*\"liber\"\n", + "2019-01-31 01:35:52,375 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.031*\"museo\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:35:52,376 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.048*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.023*\"ontario\" + 0.016*\"misericordia\" + 0.015*\"novotná\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"quebec\"\n", + "2019-01-31 01:35:52,377 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.031*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:35:52,378 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.012*\"nicola\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"author\"\n", + "2019-01-31 01:35:52,384 : INFO : topic diff=0.003417, rho=0.020788\n", + "2019-01-31 01:35:52,537 : INFO : PROGRESS: pass 0, at document #4630000/4922894\n", + "2019-01-31 01:35:53,894 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:35:54,160 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"alic\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:35:54,161 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.049*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.016*\"misericordia\" + 0.015*\"novotná\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"quebec\"\n", + "2019-01-31 01:35:54,162 : INFO : topic #23 (0.020): 0.137*\"audit\" + 0.069*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.025*\"japanes\" + 0.022*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:35:54,163 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:35:54,164 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.006*\"militari\" + 0.006*\"teufel\" + 0.006*\"pour\"\n", + "2019-01-31 01:35:54,170 : INFO : topic diff=0.003429, rho=0.020784\n", + "2019-01-31 01:35:54,320 : INFO : PROGRESS: pass 0, at document #4632000/4922894\n", + "2019-01-31 01:35:56,120 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:56,386 : INFO : topic #30 (0.020): 0.034*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:35:56,388 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.011*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:35:56,389 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"jewish\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.009*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:35:56,390 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.009*\"sri\"\n", + "2019-01-31 01:35:56,391 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.010*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:35:56,396 : INFO : topic diff=0.003634, rho=0.020779\n", + "2019-01-31 01:35:56,558 : INFO : PROGRESS: pass 0, at document #4634000/4922894\n", + "2019-01-31 01:35:58,045 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:35:58,312 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.011*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:35:58,313 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.013*\"driver\" + 0.013*\"tornado\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:35:58,314 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"upturn\" + 0.010*\"coalit\" + 0.010*\"fleet\"\n", + "2019-01-31 01:35:58,315 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.031*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:35:58,316 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.024*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:35:58,322 : INFO : topic diff=0.003200, rho=0.020775\n", + "2019-01-31 01:35:58,482 : INFO : PROGRESS: pass 0, at document #4636000/4922894\n", + "2019-01-31 01:35:59,864 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:00,130 : INFO : topic #38 (0.020): 0.023*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.006*\"teufel\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:36:00,132 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.021*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.019*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 01:36:00,133 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.048*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.015*\"leah\" + 0.014*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:36:00,134 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.028*\"champion\" + 0.026*\"woman\" + 0.025*\"men\" + 0.024*\"olymp\" + 0.022*\"alic\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"rainfal\"\n", + "2019-01-31 01:36:00,135 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.024*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.008*\"poll\"\n", + "2019-01-31 01:36:00,141 : INFO : topic diff=0.002718, rho=0.020770\n", + "2019-01-31 01:36:00,358 : INFO : PROGRESS: pass 0, at document #4638000/4922894\n", + "2019-01-31 01:36:01,746 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:02,013 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:36:02,014 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.040*\"line\" + 0.031*\"raid\" + 0.031*\"rivièr\" + 0.025*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:36:02,015 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"minist\" + 0.026*\"nation\" + 0.025*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:36:02,016 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:36:02,017 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.009*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:36:02,023 : INFO : topic diff=0.003064, rho=0.020766\n", + "2019-01-31 01:36:04,662 : INFO : -11.738 per-word bound, 3415.9 perplexity estimate based on a held-out corpus of 2000 documents with 547135 words\n", + "2019-01-31 01:36:04,663 : INFO : PROGRESS: pass 0, at document #4640000/4922894\n", + "2019-01-31 01:36:06,023 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:06,289 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.024*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:36:06,291 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:36:06,292 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"workplac\"\n", + "2019-01-31 01:36:06,293 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.017*\"sweden\" + 0.016*\"swedish\" + 0.015*\"norwai\" + 0.014*\"damag\" + 0.013*\"wind\" + 0.013*\"norwegian\" + 0.011*\"huntsvil\" + 0.011*\"treeless\" + 0.011*\"turkish\"\n", + "2019-01-31 01:36:06,294 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.026*\"rel\" + 0.025*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:36:06,300 : INFO : topic diff=0.003229, rho=0.020761\n", + "2019-01-31 01:36:06,459 : INFO : PROGRESS: pass 0, at document #4642000/4922894\n", + "2019-01-31 01:36:07,833 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:36:08,100 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.069*\"best\" + 0.036*\"yawn\" + 0.029*\"jacksonvil\" + 0.024*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:36:08,101 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"minist\" + 0.026*\"nation\" + 0.025*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:36:08,103 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:36:08,104 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.049*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.020*\"korea\" + 0.017*\"korean\" + 0.016*\"leah\" + 0.014*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:36:08,105 : INFO : topic #30 (0.020): 0.034*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:36:08,111 : INFO : topic diff=0.002943, rho=0.020757\n", + "2019-01-31 01:36:08,269 : INFO : PROGRESS: pass 0, at document #4644000/4922894\n", + "2019-01-31 01:36:09,659 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:09,925 : INFO : topic #20 (0.020): 0.144*\"scholar\" + 0.040*\"struggl\" + 0.033*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.018*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.009*\"task\"\n", + "2019-01-31 01:36:09,926 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:36:09,928 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.046*\"american\" + 0.028*\"valour\" + 0.020*\"folei\" + 0.019*\"dutch\" + 0.019*\"player\" + 0.017*\"english\" + 0.016*\"polit\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:36:09,929 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.014*\"leagu\" + 0.011*\"yawn\" + 0.011*\"folei\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:36:09,930 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:36:09,936 : INFO : topic diff=0.003041, rho=0.020752\n", + "2019-01-31 01:36:10,093 : INFO : PROGRESS: pass 0, at document #4646000/4922894\n", + "2019-01-31 01:36:11,450 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:11,716 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.048*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.015*\"novotná\" + 0.014*\"new\" + 0.013*\"quebec\"\n", + "2019-01-31 01:36:11,717 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"minist\" + 0.026*\"nation\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:36:11,718 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.012*\"tornado\" + 0.012*\"fool\" + 0.011*\"squatter\" + 0.011*\"find\" + 0.010*\"horac\"\n", + "2019-01-31 01:36:11,720 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.076*\"sens\" + 0.075*\"octob\" + 0.071*\"januari\" + 0.068*\"juli\" + 0.068*\"notion\" + 0.068*\"april\" + 0.067*\"august\" + 0.065*\"judici\" + 0.064*\"decatur\"\n", + "2019-01-31 01:36:11,721 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.031*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.016*\"damn\" + 0.013*\"physician\" + 0.013*\"orchestr\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:36:11,727 : INFO : topic diff=0.003355, rho=0.020748\n", + "2019-01-31 01:36:11,881 : INFO : PROGRESS: pass 0, at document #4648000/4922894\n", + "2019-01-31 01:36:13,231 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:13,497 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.031*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:36:13,498 : INFO : topic #46 (0.020): 0.018*\"stop\" + 0.016*\"sweden\" + 0.015*\"swedish\" + 0.015*\"norwai\" + 0.014*\"damag\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:36:13,500 : INFO : topic #32 (0.020): 0.049*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.034*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.020*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:36:13,501 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.014*\"edit\" + 0.012*\"nicola\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:36:13,502 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:36:13,508 : INFO : topic diff=0.002759, rho=0.020743\n", + "2019-01-31 01:36:13,675 : INFO : PROGRESS: pass 0, at document #4650000/4922894\n", + "2019-01-31 01:36:15,091 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:15,357 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.022*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.013*\"piec\" + 0.009*\"wine\"\n", + "2019-01-31 01:36:15,358 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.022*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"tiepolo\" + 0.014*\"chamber\" + 0.012*\"open\"\n", + "2019-01-31 01:36:15,360 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.049*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"novotná\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.013*\"quebec\"\n", + "2019-01-31 01:36:15,361 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.015*\"portugues\" + 0.014*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:36:15,362 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.014*\"depress\" + 0.014*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.007*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:36:15,368 : INFO : topic diff=0.004041, rho=0.020739\n", + "2019-01-31 01:36:15,528 : INFO : PROGRESS: pass 0, at document #4652000/4922894\n", + "2019-01-31 01:36:16,919 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:17,186 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"million\" + 0.012*\"busi\" + 0.012*\"produc\" + 0.011*\"market\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:36:17,187 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.021*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.015*\"portugues\" + 0.014*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:36:17,188 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.014*\"report\"\n", + "2019-01-31 01:36:17,189 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"mode\" + 0.006*\"measur\" + 0.006*\"southern\"\n", + "2019-01-31 01:36:17,190 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.076*\"sens\" + 0.074*\"octob\" + 0.070*\"januari\" + 0.068*\"juli\" + 0.067*\"april\" + 0.067*\"notion\" + 0.067*\"august\" + 0.065*\"judici\" + 0.063*\"decatur\"\n", + "2019-01-31 01:36:17,196 : INFO : topic diff=0.003276, rho=0.020735\n", + "2019-01-31 01:36:17,355 : INFO : PROGRESS: pass 0, at document #4654000/4922894\n", + "2019-01-31 01:36:18,719 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:18,985 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.048*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.015*\"novotná\" + 0.014*\"new\" + 0.013*\"quebec\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:36:18,987 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.009*\"comic\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:36:18,988 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.013*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:36:18,989 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.022*\"institut\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:36:18,990 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.027*\"minist\" + 0.026*\"nation\" + 0.024*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:36:18,996 : INFO : topic diff=0.003550, rho=0.020730\n", + "2019-01-31 01:36:19,154 : INFO : PROGRESS: pass 0, at document #4656000/4922894\n", + "2019-01-31 01:36:20,531 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:20,797 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.009*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:36:20,798 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.049*\"chilton\" + 0.025*\"hong\" + 0.024*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.013*\"shirin\"\n", + "2019-01-31 01:36:20,799 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.014*\"edit\" + 0.012*\"nicola\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:36:20,800 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.017*\"exhaust\" + 0.016*\"colder\" + 0.016*\"gai\"\n", + "2019-01-31 01:36:20,801 : INFO : topic #9 (0.020): 0.070*\"bone\" + 0.047*\"american\" + 0.029*\"valour\" + 0.020*\"folei\" + 0.020*\"dutch\" + 0.018*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.013*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:36:20,807 : INFO : topic diff=0.003081, rho=0.020726\n", + "2019-01-31 01:36:20,964 : INFO : PROGRESS: pass 0, at document #4658000/4922894\n", + "2019-01-31 01:36:22,329 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:22,595 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:36:22,596 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.040*\"line\" + 0.031*\"raid\" + 0.030*\"rivièr\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.010*\"briarwood\"\n", + "2019-01-31 01:36:22,597 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.025*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:36:22,598 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.012*\"militari\" + 0.011*\"refut\"\n", + "2019-01-31 01:36:22,599 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"tornado\" + 0.013*\"ret\" + 0.012*\"driver\" + 0.011*\"fool\" + 0.011*\"squatter\" + 0.011*\"find\" + 0.010*\"horac\"\n", + "2019-01-31 01:36:22,605 : INFO : topic diff=0.002912, rho=0.020721\n", + "2019-01-31 01:36:25,307 : INFO : -11.554 per-word bound, 3005.8 perplexity estimate based on a held-out corpus of 2000 documents with 547383 words\n", + "2019-01-31 01:36:25,308 : INFO : PROGRESS: pass 0, at document #4660000/4922894\n", + "2019-01-31 01:36:26,687 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:26,953 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:36:26,954 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:36:26,955 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.030*\"jpg\" + 0.029*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.016*\"gai\"\n", + "2019-01-31 01:36:26,956 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:36:26,957 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:36:26,963 : INFO : topic diff=0.002779, rho=0.020717\n", + "2019-01-31 01:36:27,122 : INFO : PROGRESS: pass 0, at document #4662000/4922894\n", + "2019-01-31 01:36:28,494 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:28,761 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.036*\"sovereignti\" + 0.036*\"rural\" + 0.026*\"reprint\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:36:28,762 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.022*\"spain\" + 0.017*\"del\" + 0.017*\"italian\" + 0.016*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:36:28,762 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.013*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:36:28,764 : INFO : topic #49 (0.020): 0.042*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.011*\"pakistan\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.010*\"muskoge\" + 0.010*\"khalsa\" + 0.010*\"sri\"\n", + "2019-01-31 01:36:28,765 : INFO : topic #11 (0.020): 0.022*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\" + 0.007*\"georg\"\n", + "2019-01-31 01:36:28,770 : INFO : topic diff=0.002856, rho=0.020712\n", + "2019-01-31 01:36:28,931 : INFO : PROGRESS: pass 0, at document #4664000/4922894\n", + "2019-01-31 01:36:30,294 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:30,563 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.012*\"produc\" + 0.011*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:36:30,564 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"lobe\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:36:30,565 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"loui\" + 0.013*\"lazi\" + 0.013*\"piec\" + 0.010*\"wine\"\n", + "2019-01-31 01:36:30,566 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.017*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:36:30,567 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.021*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"portugues\" + 0.013*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:36:30,573 : INFO : topic diff=0.002665, rho=0.020708\n", + "2019-01-31 01:36:30,730 : INFO : PROGRESS: pass 0, at document #4666000/4922894\n", + "2019-01-31 01:36:32,103 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:32,370 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:36:32,372 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.015*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:36:32,373 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:36:32,374 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"ret\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.010*\"horac\"\n", + "2019-01-31 01:36:32,375 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.009*\"fleet\"\n", + "2019-01-31 01:36:32,381 : INFO : topic diff=0.003147, rho=0.020703\n", + "2019-01-31 01:36:32,536 : INFO : PROGRESS: pass 0, at document #4668000/4922894\n", + "2019-01-31 01:36:33,893 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:34,159 : INFO : topic #17 (0.020): 0.082*\"church\" + 0.023*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.011*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:36:34,160 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"govern\" + 0.006*\"pour\" + 0.006*\"till\"\n", + "2019-01-31 01:36:34,161 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"selma\" + 0.013*\"report\"\n", + "2019-01-31 01:36:34,162 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.048*\"canadian\" + 0.025*\"toronto\" + 0.022*\"hoar\" + 0.022*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:36:34,163 : INFO : topic #41 (0.020): 0.041*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"lobe\" + 0.011*\"includ\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:36:34,169 : INFO : topic diff=0.003079, rho=0.020699\n", + "2019-01-31 01:36:34,383 : INFO : PROGRESS: pass 0, at document #4670000/4922894\n", + "2019-01-31 01:36:35,785 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:36,051 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.022*\"institut\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:36:36,052 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"lobe\" + 0.008*\"palmer\"\n", + "2019-01-31 01:36:36,053 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:36:36,054 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.040*\"line\" + 0.030*\"raid\" + 0.030*\"rivièr\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.011*\"briarwood\"\n", + "2019-01-31 01:36:36,055 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:36:36,062 : INFO : topic diff=0.002544, rho=0.020695\n", + "2019-01-31 01:36:36,215 : INFO : PROGRESS: pass 0, at document #4672000/4922894\n", + "2019-01-31 01:36:37,569 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:37,835 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.014*\"edit\" + 0.011*\"magazin\" + 0.011*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:36:37,836 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.031*\"jpg\" + 0.029*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"colder\" + 0.016*\"exhaust\" + 0.016*\"gai\"\n", + "2019-01-31 01:36:37,837 : INFO : topic #7 (0.020): 0.022*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"daughter\" + 0.012*\"deal\"\n", + "2019-01-31 01:36:37,838 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.008*\"lobe\"\n", + "2019-01-31 01:36:37,839 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:36:37,845 : INFO : topic diff=0.002748, rho=0.020690\n", + "2019-01-31 01:36:38,004 : INFO : PROGRESS: pass 0, at document #4674000/4922894\n", + "2019-01-31 01:36:39,358 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:39,628 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:36:39,629 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\" + 0.007*\"georg\"\n", + "2019-01-31 01:36:39,630 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"loui\" + 0.013*\"lazi\" + 0.012*\"piec\" + 0.011*\"wine\"\n", + "2019-01-31 01:36:39,631 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:36:39,632 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.047*\"canadian\" + 0.025*\"toronto\" + 0.022*\"hoar\" + 0.022*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:36:39,638 : INFO : topic diff=0.003452, rho=0.020686\n", + "2019-01-31 01:36:39,795 : INFO : PROGRESS: pass 0, at document #4676000/4922894\n", + "2019-01-31 01:36:41,180 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:41,446 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"martin\" + 0.015*\"taxpay\" + 0.014*\"chamber\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:36:41,447 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.036*\"sovereignti\" + 0.036*\"rural\" + 0.026*\"reprint\" + 0.025*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"unfortun\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:36:41,448 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.040*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.010*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:36:41,449 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:36:41,450 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"stop\" + 0.016*\"swedish\" + 0.016*\"norwai\" + 0.014*\"wind\" + 0.013*\"damag\" + 0.013*\"norwegian\" + 0.011*\"treeless\" + 0.010*\"turkish\" + 0.010*\"denmark\"\n", + "2019-01-31 01:36:41,456 : INFO : topic diff=0.003220, rho=0.020681\n", + "2019-01-31 01:36:41,616 : INFO : PROGRESS: pass 0, at document #4678000/4922894\n", + "2019-01-31 01:36:43,012 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:43,279 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.032*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.016*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:36:43,280 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"mode\" + 0.006*\"measur\" + 0.006*\"southern\"\n", + "2019-01-31 01:36:43,281 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.016*\"damn\" + 0.013*\"physician\" + 0.013*\"orchestr\" + 0.012*\"olympo\" + 0.011*\"word\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:36:43,282 : INFO : topic #22 (0.020): 0.033*\"spars\" + 0.017*\"factor\" + 0.011*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:36:43,283 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:36:43,289 : INFO : topic diff=0.002784, rho=0.020677\n", + "2019-01-31 01:36:45,969 : INFO : -11.830 per-word bound, 3640.8 perplexity estimate based on a held-out corpus of 2000 documents with 564955 words\n", + "2019-01-31 01:36:45,969 : INFO : PROGRESS: pass 0, at document #4680000/4922894\n", + "2019-01-31 01:36:47,338 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:47,605 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.007*\"rudolf\"\n", + "2019-01-31 01:36:47,606 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.014*\"israel\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:36:47,607 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.047*\"canadian\" + 0.025*\"toronto\" + 0.022*\"hoar\" + 0.022*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:36:47,608 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:36:47,609 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"million\" + 0.012*\"busi\" + 0.012*\"produc\" + 0.011*\"market\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:36:47,615 : INFO : topic diff=0.003103, rho=0.020672\n", + "2019-01-31 01:36:47,775 : INFO : PROGRESS: pass 0, at document #4682000/4922894\n", + "2019-01-31 01:36:49,161 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:49,427 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:36:49,428 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:36:49,429 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:36:49,430 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:36:49,431 : INFO : topic #0 (0.020): 0.062*\"statewid\" + 0.040*\"line\" + 0.030*\"raid\" + 0.030*\"rivièr\" + 0.026*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:36:49,438 : INFO : topic diff=0.002960, rho=0.020668\n", + "2019-01-31 01:36:49,591 : INFO : PROGRESS: pass 0, at document #4684000/4922894\n", + "2019-01-31 01:36:50,940 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:51,207 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:36:51,208 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"bypass\" + 0.014*\"republ\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:36:51,209 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.030*\"jpg\" + 0.029*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.016*\"gai\"\n", + "2019-01-31 01:36:51,210 : INFO : topic #17 (0.020): 0.082*\"church\" + 0.023*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:36:51,211 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.047*\"canadian\" + 0.025*\"toronto\" + 0.022*\"hoar\" + 0.022*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.014*\"quebec\"\n", + "2019-01-31 01:36:51,217 : INFO : topic diff=0.003033, rho=0.020664\n", + "2019-01-31 01:36:51,375 : INFO : PROGRESS: pass 0, at document #4686000/4922894\n", + "2019-01-31 01:36:52,754 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:53,020 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:36:53,021 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"mode\" + 0.006*\"measur\"\n", + "2019-01-31 01:36:53,022 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.011*\"linear\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:36:53,024 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.024*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:36:53,025 : INFO : topic #17 (0.020): 0.082*\"church\" + 0.023*\"cathol\" + 0.023*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.009*\"cathedr\" + 0.009*\"parish\"\n", + "2019-01-31 01:36:53,030 : INFO : topic diff=0.003063, rho=0.020659\n", + "2019-01-31 01:36:53,189 : INFO : PROGRESS: pass 0, at document #4688000/4922894\n", + "2019-01-31 01:36:54,597 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:54,864 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.022*\"institut\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:36:54,865 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.036*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"reprint\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"czech\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:36:54,866 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.030*\"jpg\" + 0.029*\"museo\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.022*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.016*\"gai\"\n", + "2019-01-31 01:36:54,867 : INFO : topic #20 (0.020): 0.143*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:36:54,868 : INFO : topic #3 (0.020): 0.034*\"present\" + 0.026*\"minist\" + 0.026*\"nation\" + 0.025*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:36:54,874 : INFO : topic diff=0.003146, rho=0.020655\n", + "2019-01-31 01:36:55,032 : INFO : PROGRESS: pass 0, at document #4690000/4922894\n", + "2019-01-31 01:36:56,394 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:56,662 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.022*\"candid\" + 0.017*\"taxpay\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"ret\" + 0.011*\"find\" + 0.011*\"squatter\" + 0.010*\"horac\"\n", + "2019-01-31 01:36:56,663 : INFO : topic #16 (0.020): 0.057*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.017*\"portugues\" + 0.017*\"quarterli\" + 0.013*\"kingdom\" + 0.013*\"brazil\"\n", + "2019-01-31 01:36:56,664 : INFO : topic #31 (0.020): 0.049*\"fusiform\" + 0.027*\"scientist\" + 0.026*\"taxpay\" + 0.022*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.014*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:36:56,665 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.010*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:36:56,666 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"sourc\" + 0.026*\"london\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.015*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:36:56,672 : INFO : topic diff=0.003062, rho=0.020650\n", + "2019-01-31 01:36:56,827 : INFO : PROGRESS: pass 0, at document #4692000/4922894\n", + "2019-01-31 01:36:58,190 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:36:58,457 : INFO : topic #21 (0.020): 0.037*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:36:58,459 : INFO : topic #27 (0.020): 0.076*\"questionnair\" + 0.022*\"candid\" + 0.017*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.011*\"ret\" + 0.011*\"squatter\" + 0.011*\"find\" + 0.010*\"horac\"\n", + "2019-01-31 01:36:58,460 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.037*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"reprint\" + 0.026*\"poison\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"unfortun\" + 0.014*\"czech\"\n", + "2019-01-31 01:36:58,460 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.020*\"event\" + 0.020*\"alic\" + 0.018*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:36:58,462 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\" + 0.007*\"georg\"\n", + "2019-01-31 01:36:58,467 : INFO : topic diff=0.002836, rho=0.020646\n", + "2019-01-31 01:36:58,624 : INFO : PROGRESS: pass 0, at document #4694000/4922894\n", + "2019-01-31 01:36:59,987 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:00,254 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.046*\"canadian\" + 0.025*\"toronto\" + 0.022*\"hoar\" + 0.021*\"ontario\" + 0.015*\"misericordia\" + 0.015*\"hydrogen\" + 0.014*\"new\" + 0.014*\"novotná\" + 0.013*\"quebec\"\n", + "2019-01-31 01:37:00,255 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.022*\"cortic\" + 0.017*\"start\" + 0.017*\"act\" + 0.012*\"case\" + 0.012*\"ricardo\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.009*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:37:00,256 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"minist\" + 0.026*\"nation\" + 0.025*\"offic\" + 0.022*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:37:00,257 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:37:00,258 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.022*\"institut\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:37:00,264 : INFO : topic diff=0.003665, rho=0.020642\n", + "2019-01-31 01:37:00,417 : INFO : PROGRESS: pass 0, at document #4696000/4922894\n", + "2019-01-31 01:37:01,766 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:02,032 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.071*\"januari\" + 0.071*\"juli\" + 0.069*\"april\" + 0.068*\"august\" + 0.068*\"notion\" + 0.068*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:37:02,034 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"mode\" + 0.006*\"measur\"\n", + "2019-01-31 01:37:02,035 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.040*\"line\" + 0.032*\"rivièr\" + 0.029*\"raid\" + 0.025*\"rosenwald\" + 0.022*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:37:02,036 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.023*\"alic\" + 0.022*\"medal\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:37:02,037 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:37:02,043 : INFO : topic diff=0.003034, rho=0.020637\n", + "2019-01-31 01:37:02,196 : INFO : PROGRESS: pass 0, at document #4698000/4922894\n", + "2019-01-31 01:37:03,541 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:03,807 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.007*\"veget\" + 0.006*\"produc\" + 0.006*\"turn\" + 0.006*\"encyclopedia\"\n", + "2019-01-31 01:37:03,808 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:37:03,810 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.016*\"histor\" + 0.011*\"linear\" + 0.011*\"depress\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:37:03,811 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.010*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"paul\" + 0.007*\"georg\"\n", + "2019-01-31 01:37:03,812 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"man\" + 0.011*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:37:03,818 : INFO : topic diff=0.003210, rho=0.020633\n", + "2019-01-31 01:37:06,495 : INFO : -11.710 per-word bound, 3349.6 perplexity estimate based on a held-out corpus of 2000 documents with 559991 words\n", + "2019-01-31 01:37:06,495 : INFO : PROGRESS: pass 0, at document #4700000/4922894\n", + "2019-01-31 01:37:07,862 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:08,128 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.011*\"anglo\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.011*\"affection\" + 0.010*\"muskoge\" + 0.010*\"sri\"\n", + "2019-01-31 01:37:08,129 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.039*\"line\" + 0.033*\"rivièr\" + 0.029*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:37:08,130 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.006*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:37:08,131 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"nation\" + 0.026*\"minist\" + 0.025*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.017*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:37:08,132 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:37:08,138 : INFO : topic diff=0.002938, rho=0.020628\n", + "2019-01-31 01:37:08,296 : INFO : PROGRESS: pass 0, at document #4702000/4922894\n", + "2019-01-31 01:37:09,667 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:09,934 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.020*\"member\" + 0.017*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:37:09,936 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.010*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:37:09,937 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.020*\"bishop\" + 0.017*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:37:09,938 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.022*\"candid\" + 0.017*\"taxpay\" + 0.014*\"tornado\" + 0.012*\"driver\" + 0.012*\"squatter\" + 0.011*\"find\" + 0.011*\"fool\" + 0.011*\"ret\" + 0.010*\"horac\"\n", + "2019-01-31 01:37:09,939 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:37:09,945 : INFO : topic diff=0.003708, rho=0.020624\n", + "2019-01-31 01:37:10,160 : INFO : PROGRESS: pass 0, at document #4704000/4922894\n", + "2019-01-31 01:37:11,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:11,800 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.006*\"uruguayan\"\n", + "2019-01-31 01:37:11,801 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.022*\"institut\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:37:11,803 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.014*\"edit\" + 0.012*\"magazin\" + 0.011*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:37:11,804 : INFO : topic #35 (0.020): 0.059*\"russia\" + 0.036*\"sovereignti\" + 0.035*\"rural\" + 0.026*\"poison\" + 0.026*\"reprint\" + 0.023*\"personifi\" + 0.020*\"moscow\" + 0.017*\"poland\" + 0.014*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:37:11,805 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.012*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:37:11,811 : INFO : topic diff=0.003334, rho=0.020620\n", + "2019-01-31 01:37:11,970 : INFO : PROGRESS: pass 0, at document #4706000/4922894\n", + "2019-01-31 01:37:13,352 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:13,618 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.046*\"canadian\" + 0.025*\"toronto\" + 0.022*\"hoar\" + 0.021*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"new\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:37:13,619 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.039*\"line\" + 0.033*\"rivièr\" + 0.029*\"raid\" + 0.025*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"serv\" + 0.018*\"traceabl\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:37:13,620 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.010*\"european\" + 0.009*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:37:13,621 : INFO : topic #40 (0.020): 0.085*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:37:13,622 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.036*\"publicis\" + 0.024*\"word\" + 0.020*\"new\" + 0.015*\"presid\" + 0.014*\"edit\" + 0.012*\"magazin\" + 0.011*\"nicola\" + 0.011*\"worldwid\" + 0.011*\"storag\"\n", + "2019-01-31 01:37:13,628 : INFO : topic diff=0.003315, rho=0.020615\n", + "2019-01-31 01:37:13,782 : INFO : PROGRESS: pass 0, at document #4708000/4922894\n", + "2019-01-31 01:37:15,149 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:15,416 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"task\" + 0.009*\"gothic\"\n", + "2019-01-31 01:37:15,417 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.010*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:37:15,418 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:37:15,419 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.029*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:37:15,420 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.016*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"lizard\"\n", + "2019-01-31 01:37:15,426 : INFO : topic diff=0.002818, rho=0.020611\n", + "2019-01-31 01:37:15,581 : INFO : PROGRESS: pass 0, at document #4710000/4922894\n", + "2019-01-31 01:37:16,943 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:17,209 : INFO : topic #35 (0.020): 0.061*\"russia\" + 0.037*\"rural\" + 0.037*\"sovereignti\" + 0.026*\"poison\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.018*\"poland\" + 0.015*\"tyrant\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:37:17,211 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.014*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:37:17,212 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"mode\" + 0.006*\"measur\"\n", + "2019-01-31 01:37:17,213 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:37:17,214 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.034*\"tortur\" + 0.032*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.020*\"commun\" + 0.020*\"cede\"\n", + "2019-01-31 01:37:17,220 : INFO : topic diff=0.002997, rho=0.020607\n", + "2019-01-31 01:37:17,379 : INFO : PROGRESS: pass 0, at document #4712000/4922894\n", + "2019-01-31 01:37:18,766 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:19,033 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.026*\"nation\" + 0.025*\"minist\" + 0.025*\"offic\" + 0.023*\"govern\" + 0.021*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:37:19,034 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.075*\"octob\" + 0.075*\"sens\" + 0.073*\"januari\" + 0.070*\"juli\" + 0.069*\"april\" + 0.068*\"notion\" + 0.068*\"judici\" + 0.067*\"august\" + 0.067*\"decatur\"\n", + "2019-01-31 01:37:19,035 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.019*\"del\" + 0.017*\"mexico\" + 0.016*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"lizard\"\n", + "2019-01-31 01:37:19,036 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.007*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"user\"\n", + "2019-01-31 01:37:19,037 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.013*\"faster\" + 0.012*\"deal\" + 0.012*\"will\"\n", + "2019-01-31 01:37:19,043 : INFO : topic diff=0.003257, rho=0.020602\n", + "2019-01-31 01:37:19,205 : INFO : PROGRESS: pass 0, at document #4714000/4922894\n", + "2019-01-31 01:37:20,580 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:20,847 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.012*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:37:20,849 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:37:20,850 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.014*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:37:20,851 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.007*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"user\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:37:20,852 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.008*\"elabor\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:37:20,858 : INFO : topic diff=0.003233, rho=0.020598\n", + "2019-01-31 01:37:21,020 : INFO : PROGRESS: pass 0, at document #4716000/4922894\n", + "2019-01-31 01:37:22,404 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:22,671 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.017*\"festiv\" + 0.015*\"prison\"\n", + "2019-01-31 01:37:22,672 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:37:22,672 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"requir\" + 0.022*\"institut\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:37:22,674 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:37:22,675 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.014*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:37:22,680 : INFO : topic diff=0.002917, rho=0.020593\n", + "2019-01-31 01:37:22,837 : INFO : PROGRESS: pass 0, at document #4718000/4922894\n", + "2019-01-31 01:37:24,203 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:24,469 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"affection\" + 0.011*\"tajikistan\" + 0.010*\"televis\" + 0.010*\"muskoge\" + 0.010*\"khalsa\"\n", + "2019-01-31 01:37:24,471 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.014*\"oper\" + 0.013*\"unionist\" + 0.012*\"militari\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:37:24,472 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:37:24,473 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.017*\"portugues\" + 0.017*\"grammat\" + 0.016*\"quarterli\" + 0.014*\"kingdom\" + 0.014*\"brazil\"\n", + "2019-01-31 01:37:24,474 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.026*\"nation\" + 0.025*\"minist\" + 0.025*\"offic\" + 0.024*\"govern\" + 0.022*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:37:24,480 : INFO : topic diff=0.002491, rho=0.020589\n", + "2019-01-31 01:37:27,158 : INFO : -11.889 per-word bound, 3792.9 perplexity estimate based on a held-out corpus of 2000 documents with 552936 words\n", + "2019-01-31 01:37:27,159 : INFO : PROGRESS: pass 0, at document #4720000/4922894\n", + "2019-01-31 01:37:28,533 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:28,799 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"trace\"\n", + "2019-01-31 01:37:28,800 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.014*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:37:28,801 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.022*\"jean\" + 0.022*\"wreath\" + 0.021*\"sail\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:37:28,802 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.068*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.017*\"festiv\" + 0.015*\"prison\"\n", + "2019-01-31 01:37:28,804 : INFO : topic #18 (0.020): 0.010*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"end\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.004*\"help\" + 0.004*\"call\"\n", + "2019-01-31 01:37:28,809 : INFO : topic diff=0.002880, rho=0.020585\n", + "2019-01-31 01:37:28,967 : INFO : PROGRESS: pass 0, at document #4722000/4922894\n", + "2019-01-31 01:37:30,334 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:30,601 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:37:30,602 : INFO : topic #1 (0.020): 0.054*\"china\" + 0.047*\"chilton\" + 0.028*\"kong\" + 0.027*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.015*\"leah\" + 0.015*\"sourc\" + 0.014*\"kim\" + 0.014*\"shirin\"\n", + "2019-01-31 01:37:30,603 : INFO : topic #31 (0.020): 0.049*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:37:30,604 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"mode\" + 0.006*\"measur\" + 0.006*\"southern\"\n", + "2019-01-31 01:37:30,605 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"mean\" + 0.009*\"origin\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:37:30,611 : INFO : topic diff=0.003509, rho=0.020580\n", + "2019-01-31 01:37:30,769 : INFO : PROGRESS: pass 0, at document #4724000/4922894\n", + "2019-01-31 01:37:32,164 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:32,431 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.011*\"septemb\" + 0.011*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:37:32,432 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.009*\"foam\"\n", + "2019-01-31 01:37:32,433 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.025*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:37:32,434 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.026*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.011*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:37:32,435 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.016*\"histor\" + 0.012*\"linear\" + 0.012*\"depress\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:37:32,441 : INFO : topic diff=0.003054, rho=0.020576\n", + "2019-01-31 01:37:32,595 : INFO : PROGRESS: pass 0, at document #4726000/4922894\n", + "2019-01-31 01:37:33,932 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:34,198 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"palmer\" + 0.009*\"foam\"\n", + "2019-01-31 01:37:34,200 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.011*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:37:34,201 : INFO : topic #13 (0.020): 0.028*\"australia\" + 0.027*\"london\" + 0.026*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.015*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:37:34,202 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:37:34,203 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.039*\"line\" + 0.033*\"rivièr\" + 0.029*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:37:34,208 : INFO : topic diff=0.002606, rho=0.020572\n", + "2019-01-31 01:37:34,360 : INFO : PROGRESS: pass 0, at document #4728000/4922894\n", + "2019-01-31 01:37:35,719 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:35,986 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.031*\"germani\" + 0.016*\"vol\" + 0.015*\"jewish\" + 0.014*\"israel\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:37:35,987 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.024*\"men\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.020*\"event\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 01:37:35,988 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.016*\"stop\" + 0.016*\"swedish\" + 0.016*\"norwai\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.013*\"damag\" + 0.010*\"turkish\" + 0.010*\"denmark\" + 0.010*\"farid\"\n", + "2019-01-31 01:37:35,989 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:37:35,990 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:37:35,996 : INFO : topic diff=0.003487, rho=0.020567\n", + "2019-01-31 01:37:36,152 : INFO : PROGRESS: pass 0, at document #4730000/4922894\n", + "2019-01-31 01:37:37,519 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:37,785 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.025*\"toronto\" + 0.023*\"hoar\" + 0.021*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"new\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:37:37,786 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"affection\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.011*\"tajikistan\" + 0.010*\"muskoge\"\n", + "2019-01-31 01:37:37,787 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.046*\"popolo\" + 0.042*\"vigour\" + 0.034*\"tortur\" + 0.031*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.020*\"cede\" + 0.019*\"commun\"\n", + "2019-01-31 01:37:37,788 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"mode\" + 0.006*\"measur\" + 0.006*\"southern\"\n", + "2019-01-31 01:37:37,789 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.023*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:37:37,795 : INFO : topic diff=0.003071, rho=0.020563\n", + "2019-01-31 01:37:37,952 : INFO : PROGRESS: pass 0, at document #4732000/4922894\n", + "2019-01-31 01:37:39,314 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:39,580 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"colder\" + 0.016*\"gai\"\n", + "2019-01-31 01:37:39,582 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:37:39,583 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.009*\"palmer\"\n", + "2019-01-31 01:37:39,584 : INFO : topic #33 (0.020): 0.061*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.022*\"jean\" + 0.021*\"sail\" + 0.020*\"wreath\" + 0.017*\"daphn\" + 0.013*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:37:39,585 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.007*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:37:39,591 : INFO : topic diff=0.002807, rho=0.020559\n", + "2019-01-31 01:37:39,801 : INFO : PROGRESS: pass 0, at document #4734000/4922894\n", + "2019-01-31 01:37:41,147 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:41,413 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.012*\"depress\" + 0.011*\"centuri\" + 0.011*\"constitut\" + 0.011*\"silicon\" + 0.010*\"pistol\"\n", + "2019-01-31 01:37:41,415 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:37:41,416 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:37:41,417 : INFO : topic #24 (0.020): 0.040*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.012*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:37:41,418 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:37:41,424 : INFO : topic diff=0.003296, rho=0.020554\n", + "2019-01-31 01:37:41,574 : INFO : PROGRESS: pass 0, at document #4736000/4922894\n", + "2019-01-31 01:37:42,921 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:43,188 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.046*\"popolo\" + 0.042*\"vigour\" + 0.034*\"tortur\" + 0.031*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.020*\"cede\" + 0.019*\"commun\"\n", + "2019-01-31 01:37:43,189 : INFO : topic #11 (0.020): 0.022*\"john\" + 0.011*\"will\" + 0.011*\"jame\" + 0.011*\"david\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"paul\" + 0.008*\"rhyme\" + 0.007*\"georg\"\n", + "2019-01-31 01:37:43,190 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.012*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"affection\" + 0.011*\"khalsa\" + 0.010*\"televis\" + 0.010*\"muskoge\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:37:43,191 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:37:43,192 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"itali\"\n", + "2019-01-31 01:37:43,198 : INFO : topic diff=0.002982, rho=0.020550\n", + "2019-01-31 01:37:43,351 : INFO : PROGRESS: pass 0, at document #4738000/4922894\n", + "2019-01-31 01:37:44,688 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:44,954 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.013*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:37:44,955 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.016*\"swedish\" + 0.016*\"stop\" + 0.016*\"norwai\" + 0.014*\"wind\" + 0.014*\"norwegian\" + 0.013*\"damag\" + 0.011*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:37:44,956 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.046*\"chilton\" + 0.028*\"kong\" + 0.027*\"hong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.015*\"sourc\" + 0.014*\"leah\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:37:44,957 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.015*\"israel\" + 0.014*\"jewish\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.010*\"european\" + 0.010*\"europ\" + 0.009*\"austria\"\n", + "2019-01-31 01:37:44,958 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.024*\"democrat\" + 0.020*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"liber\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:37:44,964 : INFO : topic diff=0.003137, rho=0.020546\n", + "2019-01-31 01:37:47,630 : INFO : -11.389 per-word bound, 2682.5 perplexity estimate based on a held-out corpus of 2000 documents with 548437 words\n", + "2019-01-31 01:37:47,630 : INFO : PROGRESS: pass 0, at document #4740000/4922894\n", + "2019-01-31 01:37:48,996 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:49,263 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.005*\"treat\"\n", + "2019-01-31 01:37:49,264 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.017*\"rainfal\"\n", + "2019-01-31 01:37:49,265 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"francisco\" + 0.011*\"juan\" + 0.010*\"itali\"\n", + "2019-01-31 01:37:49,266 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:37:49,267 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"physician\" + 0.013*\"olympo\" + 0.011*\"word\"\n", + "2019-01-31 01:37:49,273 : INFO : topic diff=0.002845, rho=0.020541\n", + "2019-01-31 01:37:49,437 : INFO : PROGRESS: pass 0, at document #4742000/4922894\n", + "2019-01-31 01:37:50,804 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:51,073 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.010*\"develop\" + 0.009*\"commun\" + 0.009*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:37:51,075 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.034*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.022*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:37:51,076 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.047*\"canadian\" + 0.026*\"toronto\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"new\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:37:51,077 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"affection\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.010*\"televis\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:37:51,078 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"francisco\" + 0.010*\"itali\"\n", + "2019-01-31 01:37:51,083 : INFO : topic diff=0.003030, rho=0.020537\n", + "2019-01-31 01:37:51,236 : INFO : PROGRESS: pass 0, at document #4744000/4922894\n", + "2019-01-31 01:37:52,602 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:52,868 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 01:37:52,869 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.023*\"cathol\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.009*\"historiographi\" + 0.009*\"cathedr\"\n", + "2019-01-31 01:37:52,870 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.077*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.071*\"juli\" + 0.069*\"notion\" + 0.069*\"august\" + 0.068*\"april\" + 0.068*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 01:37:52,871 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.029*\"poison\" + 0.027*\"reprint\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"tyrant\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:37:52,872 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:37:52,878 : INFO : topic diff=0.003567, rho=0.020533\n", + "2019-01-31 01:37:53,033 : INFO : PROGRESS: pass 0, at document #4746000/4922894\n", + "2019-01-31 01:37:54,399 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:54,666 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"cathol\" + 0.023*\"christian\" + 0.020*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"parish\" + 0.010*\"historiographi\" + 0.009*\"poll\"\n", + "2019-01-31 01:37:54,667 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.045*\"popolo\" + 0.042*\"vigour\" + 0.034*\"tortur\" + 0.031*\"cotton\" + 0.023*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.020*\"cede\" + 0.019*\"commun\"\n", + "2019-01-31 01:37:54,668 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:37:54,669 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.044*\"american\" + 0.032*\"valour\" + 0.019*\"folei\" + 0.018*\"player\" + 0.018*\"dutch\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:37:54,670 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.025*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"alic\" + 0.019*\"event\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 01:37:54,676 : INFO : topic diff=0.002670, rho=0.020528\n", + "2019-01-31 01:37:54,836 : INFO : PROGRESS: pass 0, at document #4748000/4922894\n", + "2019-01-31 01:37:56,243 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:56,510 : INFO : topic #48 (0.020): 0.081*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.071*\"juli\" + 0.070*\"notion\" + 0.069*\"august\" + 0.069*\"april\" + 0.068*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 01:37:56,511 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.009*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:37:56,513 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.022*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"yawn\" + 0.010*\"folei\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:37:56,514 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.028*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"terri\" + 0.013*\"warrior\" + 0.012*\"north\"\n", + "2019-01-31 01:37:56,515 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.034*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:37:56,521 : INFO : topic diff=0.003243, rho=0.020524\n", + "2019-01-31 01:37:56,680 : INFO : PROGRESS: pass 0, at document #4750000/4922894\n", + "2019-01-31 01:37:58,125 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:37:58,393 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.026*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.012*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:37:58,395 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.024*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:37:58,396 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.009*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.007*\"teufel\" + 0.007*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:37:58,397 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"http\"\n", + "2019-01-31 01:37:58,399 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:37:58,405 : INFO : topic diff=0.002864, rho=0.020520\n", + "2019-01-31 01:37:58,563 : INFO : PROGRESS: pass 0, at document #4752000/4922894\n", + "2019-01-31 01:37:59,945 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:00,212 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"daughter\"\n", + "2019-01-31 01:38:00,213 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.023*\"jean\" + 0.021*\"sail\" + 0.018*\"wreath\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:38:00,214 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.014*\"tornado\" + 0.013*\"driver\" + 0.012*\"squatter\" + 0.012*\"fool\" + 0.011*\"find\" + 0.010*\"horac\"\n", + "2019-01-31 01:38:00,215 : INFO : topic #23 (0.020): 0.139*\"audit\" + 0.069*\"best\" + 0.036*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.021*\"noll\" + 0.019*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:38:00,216 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"bahá\"\n", + "2019-01-31 01:38:00,222 : INFO : topic diff=0.002654, rho=0.020515\n", + "2019-01-31 01:38:00,375 : INFO : PROGRESS: pass 0, at document #4754000/4922894\n", + "2019-01-31 01:38:01,723 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:01,989 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.010*\"european\" + 0.010*\"europ\" + 0.010*\"austria\"\n", + "2019-01-31 01:38:01,990 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"swedish\" + 0.016*\"norwai\" + 0.016*\"stop\" + 0.014*\"wind\" + 0.013*\"norwegian\" + 0.012*\"damag\" + 0.012*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"denmark\"\n", + "2019-01-31 01:38:01,991 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:38:01,993 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.021*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.014*\"tornado\" + 0.013*\"driver\" + 0.012*\"squatter\" + 0.011*\"fool\" + 0.011*\"find\" + 0.010*\"horac\"\n", + "2019-01-31 01:38:01,994 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.024*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.011*\"movi\" + 0.010*\"direct\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:38:02,000 : INFO : topic diff=0.002949, rho=0.020511\n", + "2019-01-31 01:38:02,149 : INFO : PROGRESS: pass 0, at document #4756000/4922894\n", + "2019-01-31 01:38:03,500 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:03,767 : INFO : topic #25 (0.020): 0.033*\"ring\" + 0.019*\"area\" + 0.018*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"foam\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.008*\"palmer\"\n", + "2019-01-31 01:38:03,768 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.023*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"itali\" + 0.010*\"francisco\"\n", + "2019-01-31 01:38:03,769 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.013*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:38:03,770 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.038*\"sovereignti\" + 0.035*\"rural\" + 0.029*\"poison\" + 0.027*\"reprint\" + 0.024*\"personifi\" + 0.019*\"moscow\" + 0.019*\"poland\" + 0.015*\"tyrant\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:38:03,771 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:38:03,777 : INFO : topic diff=0.003260, rho=0.020507\n", + "2019-01-31 01:38:03,931 : INFO : PROGRESS: pass 0, at document #4758000/4922894\n", + "2019-01-31 01:38:05,291 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:05,558 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.039*\"line\" + 0.032*\"rivièr\" + 0.029*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.013*\"oper\" + 0.011*\"briarwood\"\n", + "2019-01-31 01:38:05,560 : INFO : topic #47 (0.020): 0.064*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:38:05,561 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:38:05,562 : INFO : topic #45 (0.020): 0.049*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.017*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:38:05,563 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:38:05,569 : INFO : topic diff=0.003050, rho=0.020502\n", + "2019-01-31 01:38:08,229 : INFO : -11.870 per-word bound, 3742.6 perplexity estimate based on a held-out corpus of 2000 documents with 532156 words\n", + "2019-01-31 01:38:08,229 : INFO : PROGRESS: pass 0, at document #4760000/4922894\n", + "2019-01-31 01:38:09,593 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:09,859 : INFO : topic #26 (0.020): 0.030*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 01:38:09,860 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.024*\"govern\" + 0.022*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.013*\"council\"\n", + "2019-01-31 01:38:09,861 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:38:09,862 : INFO : topic #41 (0.020): 0.042*\"citi\" + 0.026*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.012*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:38:09,864 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.017*\"muscl\" + 0.016*\"simultan\" + 0.015*\"charcoal\" + 0.013*\"toyota\" + 0.009*\"myspac\"\n", + "2019-01-31 01:38:09,869 : INFO : topic diff=0.002848, rho=0.020498\n", + "2019-01-31 01:38:10,028 : INFO : PROGRESS: pass 0, at document #4762000/4922894\n", + "2019-01-31 01:38:11,415 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:11,684 : INFO : topic #4 (0.020): 0.018*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.008*\"elabor\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:38:11,685 : INFO : topic #1 (0.020): 0.056*\"china\" + 0.047*\"chilton\" + 0.027*\"kong\" + 0.026*\"hong\" + 0.022*\"korea\" + 0.020*\"korean\" + 0.017*\"sourc\" + 0.014*\"leah\" + 0.014*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:38:11,686 : INFO : topic #26 (0.020): 0.029*\"workplac\" + 0.029*\"champion\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.024*\"men\" + 0.022*\"medal\" + 0.019*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.017*\"atheist\"\n", + "2019-01-31 01:38:11,687 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:38:11,688 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.023*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.015*\"retroflex\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"parish\" + 0.009*\"poll\"\n", + "2019-01-31 01:38:11,694 : INFO : topic diff=0.003839, rho=0.020494\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:38:11,845 : INFO : PROGRESS: pass 0, at document #4764000/4922894\n", + "2019-01-31 01:38:13,173 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:13,439 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:38:13,441 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.026*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.013*\"center\" + 0.012*\"lobe\" + 0.011*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:38:13,442 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.018*\"champion\" + 0.015*\"chamber\" + 0.014*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:38:13,442 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:38:13,443 : INFO : topic #49 (0.020): 0.045*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.011*\"khalsa\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:38:13,449 : INFO : topic diff=0.003146, rho=0.020489\n", + "2019-01-31 01:38:13,663 : INFO : PROGRESS: pass 0, at document #4766000/4922894\n", + "2019-01-31 01:38:15,075 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:15,342 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"includ\" + 0.007*\"user\"\n", + "2019-01-31 01:38:15,344 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"workplac\" + 0.007*\"storag\" + 0.006*\"black\"\n", + "2019-01-31 01:38:15,344 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.016*\"wreath\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:38:15,345 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"mode\" + 0.006*\"measur\" + 0.006*\"southern\"\n", + "2019-01-31 01:38:15,346 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:38:15,353 : INFO : topic diff=0.002722, rho=0.020485\n", + "2019-01-31 01:38:15,509 : INFO : PROGRESS: pass 0, at document #4768000/4922894\n", + "2019-01-31 01:38:16,885 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:17,151 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"swedish\" + 0.016*\"stop\" + 0.015*\"norwai\" + 0.014*\"wind\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.011*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:38:17,152 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.046*\"canadian\" + 0.025*\"toronto\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.014*\"new\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:38:17,153 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.039*\"line\" + 0.033*\"rivièr\" + 0.029*\"raid\" + 0.027*\"rosenwald\" + 0.020*\"airmen\" + 0.017*\"traceabl\" + 0.017*\"serv\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:38:17,154 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.027*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:38:17,155 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.015*\"vol\" + 0.014*\"israel\" + 0.014*\"der\" + 0.014*\"berlin\" + 0.013*\"jewish\" + 0.010*\"austria\" + 0.010*\"european\" + 0.010*\"europ\"\n", + "2019-01-31 01:38:17,161 : INFO : topic diff=0.002690, rho=0.020481\n", + "2019-01-31 01:38:17,313 : INFO : PROGRESS: pass 0, at document #4770000/4922894\n", + "2019-01-31 01:38:18,671 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:18,937 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"mode\" + 0.006*\"measur\" + 0.006*\"southern\"\n", + "2019-01-31 01:38:18,938 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.027*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.017*\"ireland\" + 0.014*\"youth\" + 0.013*\"wale\"\n", + "2019-01-31 01:38:18,939 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.012*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:38:18,940 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:38:18,941 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"squatter\" + 0.012*\"find\" + 0.010*\"landslid\"\n", + "2019-01-31 01:38:18,947 : INFO : topic diff=0.003038, rho=0.020477\n", + "2019-01-31 01:38:19,103 : INFO : PROGRESS: pass 0, at document #4772000/4922894\n", + "2019-01-31 01:38:20,476 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:20,746 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:38:20,747 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:38:20,748 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"mexico\" + 0.017*\"italian\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.010*\"itali\" + 0.010*\"carlo\"\n", + "2019-01-31 01:38:20,749 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"théori\" + 0.006*\"mode\" + 0.006*\"southern\" + 0.006*\"measur\"\n", + "2019-01-31 01:38:20,750 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.022*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:38:20,756 : INFO : topic diff=0.003262, rho=0.020472\n", + "2019-01-31 01:38:20,914 : INFO : PROGRESS: pass 0, at document #4774000/4922894\n", + "2019-01-31 01:38:22,300 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:22,567 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.030*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:38:22,568 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:38:22,569 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.027*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:38:22,570 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"class\" + 0.009*\"fleet\"\n", + "2019-01-31 01:38:22,572 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 01:38:22,578 : INFO : topic diff=0.003123, rho=0.020468\n", + "2019-01-31 01:38:22,737 : INFO : PROGRESS: pass 0, at document #4776000/4922894\n", + "2019-01-31 01:38:24,088 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:38:24,354 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.034*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.025*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:38:24,356 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.023*\"christian\" + 0.022*\"cathol\" + 0.021*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.010*\"poll\" + 0.010*\"historiographi\" + 0.010*\"relationship\" + 0.009*\"parish\"\n", + "2019-01-31 01:38:24,357 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.044*\"american\" + 0.031*\"valour\" + 0.018*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.016*\"english\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:38:24,358 : INFO : topic #4 (0.020): 0.018*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"uruguayan\" + 0.007*\"elabor\" + 0.006*\"develop\" + 0.006*\"turn\" + 0.006*\"produc\"\n", + "2019-01-31 01:38:24,359 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 01:38:24,365 : INFO : topic diff=0.002873, rho=0.020464\n", + "2019-01-31 01:38:24,523 : INFO : PROGRESS: pass 0, at document #4778000/4922894\n", + "2019-01-31 01:38:25,893 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:26,159 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.071*\"juli\" + 0.070*\"august\" + 0.070*\"notion\" + 0.068*\"april\" + 0.067*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 01:38:26,160 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:38:26,161 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:38:26,162 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.044*\"american\" + 0.031*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:38:26,163 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"till\"\n", + "2019-01-31 01:38:26,169 : INFO : topic diff=0.003058, rho=0.020459\n", + "2019-01-31 01:38:28,797 : INFO : -12.003 per-word bound, 4105.5 perplexity estimate based on a held-out corpus of 2000 documents with 542807 words\n", + "2019-01-31 01:38:28,797 : INFO : PROGRESS: pass 0, at document #4780000/4922894\n", + "2019-01-31 01:38:30,144 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:30,412 : INFO : topic #1 (0.020): 0.055*\"china\" + 0.047*\"chilton\" + 0.027*\"kong\" + 0.026*\"hong\" + 0.021*\"korea\" + 0.020*\"korean\" + 0.017*\"sourc\" + 0.015*\"shirin\" + 0.015*\"leah\" + 0.014*\"kim\"\n", + "2019-01-31 01:38:30,413 : INFO : topic #9 (0.020): 0.073*\"bone\" + 0.044*\"american\" + 0.031*\"valour\" + 0.018*\"folei\" + 0.018*\"dutch\" + 0.018*\"player\" + 0.016*\"english\" + 0.016*\"polit\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:38:30,414 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.029*\"priest\" + 0.021*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.016*\"portugues\" + 0.013*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:38:30,415 : INFO : topic #43 (0.020): 0.065*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.014*\"liber\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:38:30,416 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.028*\"poison\" + 0.027*\"reprint\" + 0.024*\"personifi\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.017*\"turin\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:38:30,422 : INFO : topic diff=0.003218, rho=0.020455\n", + "2019-01-31 01:38:30,578 : INFO : PROGRESS: pass 0, at document #4782000/4922894\n", + "2019-01-31 01:38:31,940 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:32,207 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.017*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:38:32,208 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"trace\"\n", + "2019-01-31 01:38:32,209 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.025*\"word\" + 0.020*\"new\" + 0.015*\"edit\" + 0.014*\"presid\" + 0.011*\"worldwid\" + 0.011*\"magazin\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:38:32,210 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.007*\"elabor\" + 0.006*\"develop\" + 0.006*\"turn\" + 0.006*\"produc\"\n", + "2019-01-31 01:38:32,211 : INFO : topic #34 (0.020): 0.066*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.027*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:38:32,217 : INFO : topic diff=0.003453, rho=0.020451\n", + "2019-01-31 01:38:32,374 : INFO : PROGRESS: pass 0, at document #4784000/4922894\n", + "2019-01-31 01:38:33,762 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:34,028 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"task\" + 0.010*\"gothic\"\n", + "2019-01-31 01:38:34,029 : INFO : topic #45 (0.020): 0.049*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.017*\"artist\" + 0.017*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:38:34,030 : INFO : topic #46 (0.020): 0.017*\"swedish\" + 0.017*\"sweden\" + 0.016*\"stop\" + 0.015*\"norwai\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.013*\"damag\" + 0.011*\"treeless\" + 0.011*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:38:34,031 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.015*\"ret\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"fool\" + 0.012*\"find\" + 0.012*\"squatter\" + 0.010*\"landslid\"\n", + "2019-01-31 01:38:34,032 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.024*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:38:34,038 : INFO : topic diff=0.002858, rho=0.020447\n", + "2019-01-31 01:38:34,196 : INFO : PROGRESS: pass 0, at document #4786000/4922894\n", + "2019-01-31 01:38:35,576 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:35,845 : INFO : topic #23 (0.020): 0.138*\"audit\" + 0.069*\"best\" + 0.035*\"yawn\" + 0.027*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.018*\"women\" + 0.018*\"intern\" + 0.018*\"festiv\" + 0.013*\"prison\"\n", + "2019-01-31 01:38:35,846 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.015*\"wreath\" + 0.014*\"lazi\" + 0.013*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:38:35,847 : INFO : topic #48 (0.020): 0.080*\"march\" + 0.078*\"octob\" + 0.077*\"sens\" + 0.072*\"januari\" + 0.070*\"juli\" + 0.070*\"august\" + 0.070*\"notion\" + 0.068*\"april\" + 0.067*\"judici\" + 0.067*\"decatur\"\n", + "2019-01-31 01:38:35,848 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.029*\"priest\" + 0.021*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.016*\"portugues\" + 0.013*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:38:35,849 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:38:35,855 : INFO : topic diff=0.002986, rho=0.020442\n", + "2019-01-31 01:38:36,007 : INFO : PROGRESS: pass 0, at document #4788000/4922894\n", + "2019-01-31 01:38:37,350 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:38:37,617 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.011*\"silicon\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:38:37,618 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.046*\"canadian\" + 0.024*\"toronto\" + 0.023*\"hoar\" + 0.022*\"ontario\" + 0.016*\"quebec\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.013*\"novotná\"\n", + "2019-01-31 01:38:37,619 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:38:37,620 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.022*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:38:37,621 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"english\" + 0.008*\"trade\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:38:37,626 : INFO : topic diff=0.003179, rho=0.020438\n", + "2019-01-31 01:38:37,785 : INFO : PROGRESS: pass 0, at document #4790000/4922894\n", + "2019-01-31 01:38:39,163 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:39,430 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.030*\"incumb\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.012*\"pakistan\" + 0.012*\"televis\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.010*\"affection\" + 0.010*\"alam\"\n", + "2019-01-31 01:38:39,431 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.017*\"artist\" + 0.017*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:38:39,432 : INFO : topic #17 (0.020): 0.080*\"church\" + 0.024*\"cathol\" + 0.022*\"christian\" + 0.022*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"historiographi\" + 0.010*\"poll\" + 0.009*\"parish\"\n", + "2019-01-31 01:38:39,433 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.009*\"battalion\" + 0.007*\"empath\" + 0.007*\"teufel\" + 0.007*\"armi\" + 0.006*\"govern\" + 0.006*\"militari\" + 0.006*\"pour\"\n", + "2019-01-31 01:38:39,434 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.023*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:38:39,439 : INFO : topic diff=0.002943, rho=0.020434\n", + "2019-01-31 01:38:39,595 : INFO : PROGRESS: pass 0, at document #4792000/4922894\n", + "2019-01-31 01:38:40,967 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:41,234 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.030*\"jpg\" + 0.030*\"museo\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.017*\"artist\" + 0.017*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:38:41,235 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.009*\"manag\" + 0.007*\"trace\"\n", + "2019-01-31 01:38:41,236 : INFO : topic #14 (0.020): 0.023*\"forc\" + 0.021*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:38:41,237 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:38:41,238 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.022*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:38:41,244 : INFO : topic diff=0.003370, rho=0.020429\n", + "2019-01-31 01:38:41,399 : INFO : PROGRESS: pass 0, at document #4794000/4922894\n", + "2019-01-31 01:38:42,752 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:43,018 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.017*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.009*\"polaris\" + 0.008*\"legal\" + 0.007*\"order\"\n", + "2019-01-31 01:38:43,020 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.010*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:38:43,021 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:38:43,022 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:38:43,023 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.034*\"tortur\" + 0.031*\"cotton\" + 0.023*\"multitud\" + 0.023*\"adulthood\" + 0.021*\"area\" + 0.020*\"cede\" + 0.019*\"commun\"\n", + "2019-01-31 01:38:43,029 : INFO : topic diff=0.002873, rho=0.020425\n", + "2019-01-31 01:38:43,184 : INFO : PROGRESS: pass 0, at document #4796000/4922894\n", + "2019-01-31 01:38:44,542 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:44,808 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:38:44,809 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:38:44,810 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.034*\"tortur\" + 0.031*\"cotton\" + 0.023*\"multitud\" + 0.023*\"adulthood\" + 0.021*\"area\" + 0.020*\"cede\" + 0.019*\"commun\"\n", + "2019-01-31 01:38:44,811 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:38:44,812 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.015*\"liber\" + 0.014*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:38:44,818 : INFO : topic diff=0.003370, rho=0.020421\n", + "2019-01-31 01:38:44,982 : INFO : PROGRESS: pass 0, at document #4798000/4922894\n", + "2019-01-31 01:38:46,350 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:46,619 : INFO : topic #10 (0.020): 0.010*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:38:46,621 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.029*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:38:46,621 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.024*\"hoar\" + 0.022*\"ontario\" + 0.016*\"quebec\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.012*\"novotná\"\n", + "2019-01-31 01:38:46,622 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:38:46,624 : INFO : topic #46 (0.020): 0.018*\"swedish\" + 0.018*\"sweden\" + 0.016*\"stop\" + 0.016*\"norwai\" + 0.014*\"damag\" + 0.014*\"norwegian\" + 0.014*\"wind\" + 0.011*\"treeless\" + 0.010*\"huntsvil\" + 0.010*\"turkish\"\n", + "2019-01-31 01:38:46,629 : INFO : topic diff=0.003374, rho=0.020417\n", + "2019-01-31 01:38:49,362 : INFO : -11.734 per-word bound, 3406.2 perplexity estimate based on a held-out corpus of 2000 documents with 558364 words\n", + "2019-01-31 01:38:49,363 : INFO : PROGRESS: pass 0, at document #4800000/4922894\n", + "2019-01-31 01:38:50,748 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:38:51,017 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:38:51,018 : INFO : topic #26 (0.020): 0.029*\"champion\" + 0.029*\"workplac\" + 0.026*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.019*\"alic\" + 0.018*\"taxpay\" + 0.018*\"atheist\"\n", + "2019-01-31 01:38:51,019 : INFO : topic #21 (0.020): 0.036*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.017*\"italian\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:38:51,020 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.020*\"place\" + 0.013*\"clot\" + 0.013*\"leagu\" + 0.010*\"folei\" + 0.010*\"yawn\" + 0.009*\"ruler\"\n", + "2019-01-31 01:38:51,021 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:38:51,027 : INFO : topic diff=0.003211, rho=0.020412\n", + "2019-01-31 01:38:51,182 : INFO : PROGRESS: pass 0, at document #4802000/4922894\n", + "2019-01-31 01:38:52,538 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:52,804 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 01:38:52,805 : INFO : topic #35 (0.020): 0.058*\"russia\" + 0.036*\"sovereignti\" + 0.034*\"rural\" + 0.028*\"poison\" + 0.027*\"reprint\" + 0.024*\"personifi\" + 0.019*\"moscow\" + 0.018*\"poland\" + 0.015*\"turin\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:38:52,806 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.073*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.022*\"japanes\" + 0.021*\"noll\" + 0.018*\"women\" + 0.018*\"intern\" + 0.017*\"festiv\" + 0.013*\"winner\"\n", + "2019-01-31 01:38:52,807 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:38:52,808 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:38:52,814 : INFO : topic diff=0.002899, rho=0.020408\n", + "2019-01-31 01:38:52,972 : INFO : PROGRESS: pass 0, at document #4804000/4922894\n", + "2019-01-31 01:38:54,359 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:54,626 : INFO : topic #0 (0.020): 0.060*\"statewid\" + 0.039*\"line\" + 0.032*\"rivièr\" + 0.029*\"raid\" + 0.026*\"rosenwald\" + 0.021*\"airmen\" + 0.018*\"serv\" + 0.017*\"traceabl\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:38:54,627 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.020*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.014*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:38:54,628 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.027*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.021*\"australian\" + 0.019*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:38:54,629 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:38:54,630 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.009*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:38:54,636 : INFO : topic diff=0.003219, rho=0.020404\n", + "2019-01-31 01:38:54,791 : INFO : PROGRESS: pass 0, at document #4806000/4922894\n", + "2019-01-31 01:38:56,153 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:56,419 : INFO : topic #45 (0.020): 0.049*\"arsen\" + 0.032*\"museo\" + 0.030*\"jpg\" + 0.027*\"fifteenth\" + 0.022*\"pain\" + 0.021*\"illicit\" + 0.017*\"artist\" + 0.017*\"exhaust\" + 0.016*\"gai\" + 0.014*\"colder\"\n", + "2019-01-31 01:38:56,420 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.025*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.016*\"chamber\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.012*\"open\"\n", + "2019-01-31 01:38:56,421 : INFO : topic #20 (0.020): 0.142*\"scholar\" + 0.038*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"task\" + 0.010*\"start\"\n", + "2019-01-31 01:38:56,422 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 01:38:56,423 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.026*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"includ\" + 0.012*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:38:56,429 : INFO : topic diff=0.002681, rho=0.020400\n", + "2019-01-31 01:38:56,586 : INFO : PROGRESS: pass 0, at document #4808000/4922894\n", + "2019-01-31 01:38:57,972 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:38:58,238 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"uruguayan\"\n", + "2019-01-31 01:38:58,240 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.024*\"word\" + 0.020*\"new\" + 0.014*\"presid\" + 0.014*\"edit\" + 0.011*\"magazin\" + 0.011*\"worldwid\" + 0.011*\"nicola\" + 0.011*\"author\"\n", + "2019-01-31 01:38:58,241 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.045*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"wreath\" + 0.012*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:38:58,242 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:38:58,243 : INFO : topic #15 (0.020): 0.012*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:38:58,249 : INFO : topic diff=0.003120, rho=0.020395\n", + "2019-01-31 01:38:58,410 : INFO : PROGRESS: pass 0, at document #4810000/4922894\n", + "2019-01-31 01:39:00,009 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:00,277 : INFO : topic #9 (0.020): 0.075*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.019*\"folei\" + 0.017*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:39:00,278 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:39:00,279 : INFO : topic #42 (0.020): 0.047*\"german\" + 0.032*\"germani\" + 0.016*\"vol\" + 0.015*\"israel\" + 0.014*\"der\" + 0.014*\"jewish\" + 0.013*\"berlin\" + 0.009*\"european\" + 0.009*\"austria\" + 0.009*\"europ\"\n", + "2019-01-31 01:39:00,280 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.022*\"member\" + 0.018*\"start\" + 0.016*\"serv\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:39:00,281 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.045*\"canadian\" + 0.024*\"toronto\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.016*\"quebec\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.013*\"novotná\"\n", + "2019-01-31 01:39:00,287 : INFO : topic diff=0.002673, rho=0.020391\n", + "2019-01-31 01:39:00,440 : INFO : PROGRESS: pass 0, at document #4812000/4922894\n", + "2019-01-31 01:39:01,787 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:02,053 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.020*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:39:02,054 : INFO : topic #11 (0.020): 0.022*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.007*\"georg\" + 0.007*\"rhyme\"\n", + "2019-01-31 01:39:02,055 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:39:02,057 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.014*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:39:02,058 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:39:02,063 : INFO : topic diff=0.003553, rho=0.020387\n", + "2019-01-31 01:39:02,222 : INFO : PROGRESS: pass 0, at document #4814000/4922894\n", + "2019-01-31 01:39:03,605 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:03,871 : INFO : topic #19 (0.020): 0.017*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:39:03,872 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.035*\"sovereignti\" + 0.033*\"rural\" + 0.028*\"poison\" + 0.027*\"reprint\" + 0.025*\"personifi\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.015*\"turin\" + 0.014*\"unfortun\"\n", + "2019-01-31 01:39:03,873 : INFO : topic #28 (0.020): 0.037*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.016*\"histor\" + 0.012*\"linear\" + 0.012*\"centuri\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:39:03,874 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:39:03,875 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:39:03,881 : INFO : topic diff=0.003579, rho=0.020383\n", + "2019-01-31 01:39:04,038 : INFO : PROGRESS: pass 0, at document #4816000/4922894\n", + "2019-01-31 01:39:05,404 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:05,671 : INFO : topic #3 (0.020): 0.033*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.024*\"minist\" + 0.023*\"govern\" + 0.022*\"member\" + 0.018*\"start\" + 0.016*\"serv\" + 0.016*\"gener\" + 0.014*\"council\"\n", + "2019-01-31 01:39:05,672 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.078*\"sens\" + 0.076*\"octob\" + 0.069*\"januari\" + 0.069*\"august\" + 0.068*\"juli\" + 0.068*\"notion\" + 0.067*\"april\" + 0.066*\"judici\" + 0.066*\"decatur\"\n", + "2019-01-31 01:39:05,673 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.045*\"chilton\" + 0.026*\"kong\" + 0.026*\"hong\" + 0.020*\"korea\" + 0.020*\"korean\" + 0.019*\"shirin\" + 0.016*\"sourc\" + 0.015*\"leah\" + 0.013*\"kim\"\n", + "2019-01-31 01:39:05,674 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.007*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"end\" + 0.005*\"retrospect\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:39:05,675 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.022*\"spain\" + 0.018*\"del\" + 0.018*\"italian\" + 0.017*\"mexico\" + 0.014*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"francisco\" + 0.010*\"carlo\"\n", + "2019-01-31 01:39:05,681 : INFO : topic diff=0.002653, rho=0.020378\n", + "2019-01-31 01:39:05,839 : INFO : PROGRESS: pass 0, at document #4818000/4922894\n", + "2019-01-31 01:39:07,219 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:07,486 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:39:07,487 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.007*\"caus\" + 0.006*\"effect\" + 0.006*\"treat\" + 0.006*\"proper\"\n", + "2019-01-31 01:39:07,488 : INFO : topic #26 (0.020): 0.029*\"champion\" + 0.029*\"workplac\" + 0.025*\"alic\" + 0.025*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"left\" + 0.019*\"event\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:39:07,489 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"grammat\" + 0.017*\"rotterdam\" + 0.017*\"portugues\" + 0.017*\"quarterli\" + 0.014*\"kingdom\" + 0.012*\"brazil\"\n", + "2019-01-31 01:39:07,490 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"pour\"\n", + "2019-01-31 01:39:07,496 : INFO : topic diff=0.003189, rho=0.020374\n", + "2019-01-31 01:39:10,159 : INFO : -11.683 per-word bound, 3287.4 perplexity estimate based on a held-out corpus of 2000 documents with 567625 words\n", + "2019-01-31 01:39:10,160 : INFO : PROGRESS: pass 0, at document #4820000/4922894\n", + "2019-01-31 01:39:11,525 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:11,792 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:39:11,793 : INFO : topic #33 (0.020): 0.060*\"french\" + 0.045*\"franc\" + 0.030*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"wreath\" + 0.012*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:39:11,794 : INFO : topic #48 (0.020): 0.079*\"march\" + 0.077*\"sens\" + 0.076*\"octob\" + 0.069*\"januari\" + 0.068*\"august\" + 0.068*\"notion\" + 0.068*\"juli\" + 0.067*\"april\" + 0.065*\"judici\" + 0.065*\"decatur\"\n", + "2019-01-31 01:39:11,795 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"armi\" + 0.020*\"walter\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:39:11,796 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"daughter\"\n", + "2019-01-31 01:39:11,802 : INFO : topic diff=0.002941, rho=0.020370\n", + "2019-01-31 01:39:11,957 : INFO : PROGRESS: pass 0, at document #4822000/4922894\n", + "2019-01-31 01:39:13,293 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:13,560 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.011*\"market\" + 0.011*\"bank\" + 0.010*\"industri\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:39:13,561 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:39:13,562 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"caus\" + 0.007*\"pathwai\" + 0.007*\"hormon\" + 0.006*\"effect\" + 0.006*\"proper\" + 0.006*\"treat\"\n", + "2019-01-31 01:39:13,563 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.014*\"wreath\" + 0.012*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:39:13,564 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.021*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.011*\"north\"\n", + "2019-01-31 01:39:13,570 : INFO : topic diff=0.003419, rho=0.020366\n", + "2019-01-31 01:39:13,729 : INFO : PROGRESS: pass 0, at document #4824000/4922894\n", + "2019-01-31 01:39:15,111 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:15,377 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.017*\"factor\" + 0.013*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.007*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:39:15,378 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.046*\"canadian\" + 0.024*\"toronto\" + 0.024*\"hoar\" + 0.022*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"quebec\" + 0.015*\"new\" + 0.014*\"novotná\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:39:15,379 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.017*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"includ\" + 0.012*\"lobe\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:39:15,380 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.011*\"khalsa\" + 0.011*\"affection\" + 0.010*\"muskoge\" + 0.010*\"alam\"\n", + "2019-01-31 01:39:15,381 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:39:15,387 : INFO : topic diff=0.003112, rho=0.020362\n", + "2019-01-31 01:39:15,549 : INFO : PROGRESS: pass 0, at document #4826000/4922894\n", + "2019-01-31 01:39:16,936 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:17,202 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:39:17,203 : INFO : topic #35 (0.020): 0.057*\"russia\" + 0.035*\"sovereignti\" + 0.032*\"rural\" + 0.028*\"poison\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.020*\"moscow\" + 0.019*\"poland\" + 0.017*\"turin\" + 0.014*\"tyrant\"\n", + "2019-01-31 01:39:17,204 : INFO : topic #47 (0.020): 0.066*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.017*\"compos\" + 0.017*\"place\" + 0.016*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:39:17,205 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.014*\"tornado\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.012*\"squatter\" + 0.012*\"find\" + 0.009*\"théori\"\n", + "2019-01-31 01:39:17,207 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.013*\"oper\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:39:17,212 : INFO : topic diff=0.003252, rho=0.020357\n", + "2019-01-31 01:39:17,373 : INFO : PROGRESS: pass 0, at document #4828000/4922894\n", + "2019-01-31 01:39:18,779 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:19,046 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.010*\"coalit\" + 0.010*\"fleet\" + 0.010*\"class\"\n", + "2019-01-31 01:39:19,047 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.010*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 01:39:19,048 : INFO : topic #1 (0.020): 0.051*\"china\" + 0.044*\"chilton\" + 0.026*\"kong\" + 0.026*\"hong\" + 0.020*\"korea\" + 0.020*\"korean\" + 0.018*\"shirin\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.013*\"kim\"\n", + "2019-01-31 01:39:19,049 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.013*\"selma\"\n", + "2019-01-31 01:39:19,050 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"citi\"\n", + "2019-01-31 01:39:19,056 : INFO : topic diff=0.002922, rho=0.020353\n", + "2019-01-31 01:39:19,268 : INFO : PROGRESS: pass 0, at document #4830000/4922894\n", + "2019-01-31 01:39:20,622 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:20,889 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.026*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"lobe\" + 0.012*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:39:20,890 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.008*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:39:20,891 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.007*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\" + 0.006*\"till\"\n", + "2019-01-31 01:39:20,892 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.031*\"museo\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.021*\"pain\" + 0.021*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.014*\"word\"\n", + "2019-01-31 01:39:20,893 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:39:20,899 : INFO : topic diff=0.003340, rho=0.020349\n", + "2019-01-31 01:39:21,055 : INFO : PROGRESS: pass 0, at document #4832000/4922894\n", + "2019-01-31 01:39:22,419 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:22,685 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.030*\"pari\" + 0.023*\"sail\" + 0.022*\"jean\" + 0.017*\"daphn\" + 0.014*\"wreath\" + 0.014*\"lazi\" + 0.012*\"loui\" + 0.012*\"piec\"\n", + "2019-01-31 01:39:22,686 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.016*\"polit\" + 0.016*\"english\" + 0.012*\"acrimoni\" + 0.012*\"simpler\"\n", + "2019-01-31 01:39:22,687 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"utopian\"\n", + "2019-01-31 01:39:22,688 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.020*\"theater\" + 0.019*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:39:22,689 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:39:22,695 : INFO : topic diff=0.003461, rho=0.020345\n", + "2019-01-31 01:39:22,851 : INFO : PROGRESS: pass 0, at document #4834000/4922894\n", + "2019-01-31 01:39:24,211 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:24,478 : INFO : topic #49 (0.020): 0.044*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.012*\"anglo\" + 0.012*\"televis\" + 0.011*\"khalsa\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.010*\"alam\"\n", + "2019-01-31 01:39:24,479 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.026*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"lobe\" + 0.012*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:39:24,480 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.055*\"parti\" + 0.024*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.013*\"report\"\n", + "2019-01-31 01:39:24,482 : INFO : topic #28 (0.020): 0.036*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.012*\"centuri\" + 0.011*\"silicon\" + 0.011*\"constitut\" + 0.011*\"depress\" + 0.010*\"pistol\"\n", + "2019-01-31 01:39:24,483 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"measur\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"servitud\" + 0.006*\"utopian\"\n", + "2019-01-31 01:39:24,489 : INFO : topic diff=0.002786, rho=0.020341\n", + "2019-01-31 01:39:24,640 : INFO : PROGRESS: pass 0, at document #4836000/4922894\n", + "2019-01-31 01:39:25,977 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:26,243 : INFO : topic #13 (0.020): 0.027*\"london\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.023*\"england\" + 0.021*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"wale\"\n", + "2019-01-31 01:39:26,244 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:39:26,245 : INFO : topic #26 (0.020): 0.029*\"champion\" + 0.028*\"workplac\" + 0.025*\"woman\" + 0.025*\"alic\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"left\" + 0.019*\"event\" + 0.018*\"atheist\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:39:26,246 : INFO : topic #48 (0.020): 0.078*\"march\" + 0.076*\"sens\" + 0.076*\"octob\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.067*\"august\" + 0.067*\"juli\" + 0.066*\"april\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 01:39:26,247 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.046*\"canadian\" + 0.024*\"toronto\" + 0.024*\"hoar\" + 0.022*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"quebec\" + 0.014*\"new\" + 0.013*\"novotná\"\n", + "2019-01-31 01:39:26,253 : INFO : topic diff=0.003121, rho=0.020336\n", + "2019-01-31 01:39:26,410 : INFO : PROGRESS: pass 0, at document #4838000/4922894\n", + "2019-01-31 01:39:27,790 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:28,056 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:39:28,057 : INFO : topic #0 (0.020): 0.060*\"statewid\" + 0.039*\"line\" + 0.031*\"rivièr\" + 0.029*\"raid\" + 0.026*\"rosenwald\" + 0.020*\"airmen\" + 0.018*\"traceabl\" + 0.018*\"serv\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:39:28,058 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.016*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.006*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:39:28,059 : INFO : topic #44 (0.020): 0.029*\"rooftop\" + 0.025*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.020*\"champion\" + 0.016*\"chamber\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:39:28,060 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:39:28,066 : INFO : topic diff=0.002750, rho=0.020332\n", + "2019-01-31 01:39:30,746 : INFO : -11.475 per-word bound, 2846.8 perplexity estimate based on a held-out corpus of 2000 documents with 566887 words\n", + "2019-01-31 01:39:30,747 : INFO : PROGRESS: pass 0, at document #4840000/4922894\n", + "2019-01-31 01:39:32,112 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:32,379 : INFO : topic #32 (0.020): 0.050*\"district\" + 0.047*\"popolo\" + 0.043*\"vigour\" + 0.034*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.022*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:39:32,380 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.006*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:39:32,381 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.010*\"acrimoni\" + 0.010*\"direct\" + 0.010*\"movi\"\n", + "2019-01-31 01:39:32,382 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"lobe\" + 0.012*\"includ\" + 0.010*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:39:32,383 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.013*\"fool\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"squatter\" + 0.009*\"théori\"\n", + "2019-01-31 01:39:32,390 : INFO : topic diff=0.002968, rho=0.020328\n", + "2019-01-31 01:39:32,543 : INFO : PROGRESS: pass 0, at document #4842000/4922894\n", + "2019-01-31 01:39:33,883 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:34,149 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.031*\"perceptu\" + 0.021*\"theater\" + 0.019*\"compos\" + 0.017*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.011*\"word\"\n", + "2019-01-31 01:39:34,150 : INFO : topic #27 (0.020): 0.074*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.014*\"ret\" + 0.013*\"tornado\" + 0.013*\"fool\" + 0.012*\"find\" + 0.012*\"driver\" + 0.012*\"squatter\" + 0.009*\"théori\"\n", + "2019-01-31 01:39:34,152 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 01:39:34,153 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"disco\" + 0.007*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:39:34,154 : INFO : topic #23 (0.020): 0.134*\"audit\" + 0.072*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.020*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.017*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:39:34,160 : INFO : topic diff=0.002803, rho=0.020324\n", + "2019-01-31 01:39:34,314 : INFO : PROGRESS: pass 0, at document #4844000/4922894\n", + "2019-01-31 01:39:35,691 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:35,958 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.012*\"http\" + 0.011*\"governor\"\n", + "2019-01-31 01:39:35,959 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.019*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 01:39:35,960 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.024*\"voluntari\" + 0.022*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"liber\" + 0.014*\"bypass\" + 0.013*\"seaport\"\n", + "2019-01-31 01:39:35,961 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:39:35,962 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.010*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:39:35,968 : INFO : topic diff=0.002403, rho=0.020319\n", + "2019-01-31 01:39:36,128 : INFO : PROGRESS: pass 0, at document #4846000/4922894\n", + "2019-01-31 01:39:37,509 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:37,776 : INFO : topic #5 (0.020): 0.039*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:39:37,777 : INFO : topic #16 (0.020): 0.053*\"king\" + 0.030*\"priest\" + 0.021*\"duke\" + 0.018*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.016*\"portugues\" + 0.014*\"kingdom\" + 0.013*\"paisiello\"\n", + "2019-01-31 01:39:37,778 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:39:37,779 : INFO : topic #30 (0.020): 0.035*\"cleveland\" + 0.035*\"leagu\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:39:37,780 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.008*\"veget\" + 0.006*\"turn\" + 0.006*\"produc\" + 0.006*\"develop\"\n", + "2019-01-31 01:39:37,786 : INFO : topic diff=0.002993, rho=0.020315\n", + "2019-01-31 01:39:37,944 : INFO : PROGRESS: pass 0, at document #4848000/4922894\n", + "2019-01-31 01:39:39,323 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:39,590 : INFO : topic #39 (0.020): 0.060*\"canada\" + 0.047*\"canadian\" + 0.024*\"hoar\" + 0.024*\"toronto\" + 0.022*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"quebec\" + 0.014*\"new\" + 0.013*\"novotná\"\n", + "2019-01-31 01:39:39,591 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:39:39,592 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.038*\"shield\" + 0.018*\"narrat\" + 0.015*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"class\" + 0.010*\"coalit\" + 0.010*\"fleet\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:39:39,593 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"foam\" + 0.009*\"sourc\" + 0.009*\"palmer\"\n", + "2019-01-31 01:39:39,594 : INFO : topic #48 (0.020): 0.078*\"march\" + 0.077*\"octob\" + 0.076*\"sens\" + 0.069*\"januari\" + 0.068*\"notion\" + 0.066*\"august\" + 0.066*\"april\" + 0.066*\"juli\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 01:39:39,600 : INFO : topic diff=0.002819, rho=0.020311\n", + "2019-01-31 01:39:39,758 : INFO : PROGRESS: pass 0, at document #4850000/4922894\n", + "2019-01-31 01:39:41,133 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:41,399 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"lobe\" + 0.012*\"includ\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:39:41,400 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.012*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:39:41,401 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"disco\" + 0.008*\"have\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:39:41,402 : INFO : topic #48 (0.020): 0.078*\"march\" + 0.077*\"octob\" + 0.076*\"sens\" + 0.068*\"januari\" + 0.067*\"notion\" + 0.066*\"april\" + 0.066*\"august\" + 0.066*\"juli\" + 0.064*\"decatur\" + 0.063*\"judici\"\n", + "2019-01-31 01:39:41,403 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.029*\"priest\" + 0.020*\"duke\" + 0.019*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"portugues\" + 0.015*\"kingdom\" + 0.013*\"paisiello\"\n", + "2019-01-31 01:39:41,409 : INFO : topic diff=0.003103, rho=0.020307\n", + "2019-01-31 01:39:41,561 : INFO : PROGRESS: pass 0, at document #4852000/4922894\n", + "2019-01-31 01:39:42,894 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:43,160 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.022*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:39:43,161 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"utopian\" + 0.006*\"southern\"\n", + "2019-01-31 01:39:43,162 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.043*\"chilton\" + 0.026*\"hong\" + 0.025*\"kong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.017*\"shirin\" + 0.016*\"leah\" + 0.016*\"sourc\" + 0.013*\"kim\"\n", + "2019-01-31 01:39:43,163 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.012*\"wreath\" + 0.012*\"loui\" + 0.011*\"piec\"\n", + "2019-01-31 01:39:43,164 : INFO : topic #21 (0.020): 0.035*\"samford\" + 0.021*\"spain\" + 0.018*\"italian\" + 0.018*\"del\" + 0.017*\"mexico\" + 0.013*\"soviet\" + 0.012*\"santa\" + 0.011*\"juan\" + 0.011*\"carlo\" + 0.010*\"francisco\"\n", + "2019-01-31 01:39:43,170 : INFO : topic diff=0.003322, rho=0.020303\n", + "2019-01-31 01:39:43,326 : INFO : PROGRESS: pass 0, at document #4854000/4922894\n", + "2019-01-31 01:39:44,686 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:44,952 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.018*\"com\" + 0.013*\"militari\" + 0.013*\"oper\" + 0.013*\"unionist\" + 0.013*\"airbu\" + 0.011*\"diversifi\"\n", + "2019-01-31 01:39:44,953 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:39:44,954 : INFO : topic #25 (0.020): 0.032*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"land\" + 0.009*\"sourc\" + 0.009*\"foam\" + 0.009*\"palmer\"\n", + "2019-01-31 01:39:44,955 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.023*\"govern\" + 0.023*\"minist\" + 0.022*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.016*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:39:44,956 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.030*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.016*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:39:44,962 : INFO : topic diff=0.002763, rho=0.020299\n", + "2019-01-31 01:39:45,118 : INFO : PROGRESS: pass 0, at document #4856000/4922894\n", + "2019-01-31 01:39:46,477 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:46,743 : INFO : topic #26 (0.020): 0.029*\"champion\" + 0.029*\"workplac\" + 0.025*\"woman\" + 0.024*\"olymp\" + 0.023*\"alic\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:39:46,744 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.071*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.020*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.017*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:39:46,746 : INFO : topic #42 (0.020): 0.048*\"german\" + 0.033*\"germani\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.014*\"der\" + 0.014*\"israel\" + 0.013*\"jewish\" + 0.009*\"austria\" + 0.009*\"european\" + 0.009*\"europ\"\n", + "2019-01-31 01:39:46,747 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.031*\"museo\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.022*\"illicit\" + 0.021*\"pain\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:39:46,748 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:39:46,754 : INFO : topic diff=0.003339, rho=0.020294\n", + "2019-01-31 01:39:46,910 : INFO : PROGRESS: pass 0, at document #4858000/4922894\n", + "2019-01-31 01:39:48,361 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:48,629 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:39:48,631 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.011*\"anim\" + 0.010*\"man\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:39:48,632 : INFO : topic #20 (0.020): 0.140*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:39:48,633 : INFO : topic #9 (0.020): 0.077*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.018*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.012*\"acrimoni\"\n", + "2019-01-31 01:39:48,634 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.006*\"poet\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"utopian\"\n", + "2019-01-31 01:39:48,640 : INFO : topic diff=0.002960, rho=0.020290\n", + "2019-01-31 01:39:51,335 : INFO : -11.403 per-word bound, 2708.1 perplexity estimate based on a held-out corpus of 2000 documents with 577801 words\n", + "2019-01-31 01:39:51,335 : INFO : PROGRESS: pass 0, at document #4860000/4922894\n", + "2019-01-31 01:39:52,705 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:52,972 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.017*\"daphn\" + 0.014*\"lazi\" + 0.013*\"wreath\" + 0.012*\"loui\" + 0.011*\"piec\"\n", + "2019-01-31 01:39:52,973 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.007*\"poet\" + 0.006*\"gener\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"utopian\"\n", + "2019-01-31 01:39:52,974 : INFO : topic #16 (0.020): 0.054*\"king\" + 0.029*\"priest\" + 0.020*\"duke\" + 0.018*\"idiosyncrat\" + 0.018*\"rotterdam\" + 0.017*\"grammat\" + 0.017*\"quarterli\" + 0.016*\"portugues\" + 0.014*\"kingdom\" + 0.013*\"paisiello\"\n", + "2019-01-31 01:39:52,975 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.018*\"factor\" + 0.012*\"plaisir\" + 0.011*\"genu\" + 0.010*\"western\" + 0.009*\"biom\" + 0.008*\"median\" + 0.006*\"trap\" + 0.006*\"incom\" + 0.006*\"florida\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:39:52,976 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.019*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"lobe\" + 0.012*\"includ\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:39:52,982 : INFO : topic diff=0.003327, rho=0.020286\n", + "2019-01-31 01:39:53,136 : INFO : PROGRESS: pass 0, at document #4862000/4922894\n", + "2019-01-31 01:39:54,484 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:54,751 : INFO : topic #33 (0.020): 0.059*\"french\" + 0.044*\"franc\" + 0.031*\"pari\" + 0.023*\"jean\" + 0.022*\"sail\" + 0.018*\"daphn\" + 0.014*\"lazi\" + 0.013*\"wreath\" + 0.012*\"loui\" + 0.011*\"piec\"\n", + "2019-01-31 01:39:54,752 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.029*\"incumb\" + 0.014*\"islam\" + 0.013*\"pakistan\" + 0.013*\"anglo\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.011*\"affection\" + 0.011*\"muskoge\" + 0.010*\"alam\"\n", + "2019-01-31 01:39:54,753 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:39:54,754 : INFO : topic #44 (0.020): 0.030*\"rooftop\" + 0.026*\"final\" + 0.023*\"wife\" + 0.021*\"tourist\" + 0.019*\"champion\" + 0.015*\"chamber\" + 0.015*\"martin\" + 0.014*\"taxpay\" + 0.014*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:39:54,755 : INFO : topic #39 (0.020): 0.059*\"canada\" + 0.046*\"canadian\" + 0.025*\"toronto\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.014*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 01:39:54,761 : INFO : topic diff=0.002938, rho=0.020282\n", + "2019-01-31 01:39:54,968 : INFO : PROGRESS: pass 0, at document #4864000/4922894\n", + "2019-01-31 01:39:56,299 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:56,567 : INFO : topic #12 (0.020): 0.008*\"number\" + 0.007*\"frontal\" + 0.006*\"gener\" + 0.006*\"poet\" + 0.006*\"servitud\" + 0.006*\"exampl\" + 0.006*\"théori\" + 0.006*\"measur\" + 0.006*\"southern\" + 0.006*\"utopian\"\n", + "2019-01-31 01:39:56,568 : INFO : topic #9 (0.020): 0.076*\"bone\" + 0.042*\"american\" + 0.031*\"valour\" + 0.019*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.012*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:39:56,569 : INFO : topic #13 (0.020): 0.026*\"london\" + 0.026*\"australia\" + 0.025*\"new\" + 0.025*\"sourc\" + 0.024*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"wale\" + 0.014*\"weekli\"\n", + "2019-01-31 01:39:56,570 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.014*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:39:56,571 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.025*\"cathol\" + 0.024*\"christian\" + 0.022*\"bishop\" + 0.016*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 01:39:56,577 : INFO : topic diff=0.003424, rho=0.020278\n", + "2019-01-31 01:39:56,735 : INFO : PROGRESS: pass 0, at document #4866000/4922894\n", + "2019-01-31 01:39:58,277 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:39:58,544 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"retrospect\" + 0.005*\"like\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:39:58,545 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.010*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"diggin\" + 0.008*\"develop\" + 0.008*\"softwar\" + 0.008*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:39:58,546 : INFO : topic #46 (0.020): 0.017*\"sweden\" + 0.017*\"swedish\" + 0.017*\"stop\" + 0.015*\"norwai\" + 0.014*\"treeless\" + 0.014*\"wind\" + 0.013*\"damag\" + 0.013*\"norwegian\" + 0.010*\"farid\" + 0.010*\"huntsvil\"\n", + "2019-01-31 01:39:58,547 : INFO : topic #35 (0.020): 0.056*\"russia\" + 0.037*\"sovereignti\" + 0.032*\"rural\" + 0.029*\"poison\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.022*\"poland\" + 0.018*\"moscow\" + 0.015*\"turin\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:39:58,548 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"open\" + 0.012*\"center\" + 0.012*\"includ\" + 0.012*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:39:58,554 : INFO : topic diff=0.003362, rho=0.020274\n", + "2019-01-31 01:39:58,716 : INFO : PROGRESS: pass 0, at document #4868000/4922894\n", + "2019-01-31 01:40:00,120 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:00,386 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.024*\"toronto\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.016*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.015*\"quebec\" + 0.013*\"novotná\"\n", + "2019-01-31 01:40:00,387 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.025*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:40:00,388 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:40:00,389 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:40:00,390 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.070*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.020*\"noll\" + 0.018*\"women\" + 0.017*\"intern\" + 0.017*\"festiv\" + 0.014*\"prison\"\n", + "2019-01-31 01:40:00,396 : INFO : topic diff=0.003458, rho=0.020269\n", + "2019-01-31 01:40:00,550 : INFO : PROGRESS: pass 0, at document #4870000/4922894\n", + "2019-01-31 01:40:01,891 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:02,157 : INFO : topic #28 (0.020): 0.037*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.012*\"centuri\" + 0.012*\"silicon\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:40:02,158 : INFO : topic #26 (0.020): 0.029*\"champion\" + 0.028*\"workplac\" + 0.025*\"woman\" + 0.025*\"olymp\" + 0.024*\"alic\" + 0.023*\"men\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:40:02,160 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:40:02,161 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.025*\"cathol\" + 0.024*\"christian\" + 0.022*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.009*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"parish\"\n", + "2019-01-31 01:40:02,162 : INFO : topic #40 (0.020): 0.086*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"requir\" + 0.020*\"collector\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:40:02,168 : INFO : topic diff=0.003171, rho=0.020265\n", + "2019-01-31 01:40:02,323 : INFO : PROGRESS: pass 0, at document #4872000/4922894\n", + "2019-01-31 01:40:03,693 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:03,959 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:40:03,960 : INFO : topic #28 (0.020): 0.037*\"build\" + 0.030*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.012*\"centuri\" + 0.012*\"silicon\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:40:03,961 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.029*\"incumb\" + 0.013*\"islam\" + 0.013*\"pakistan\" + 0.013*\"anglo\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.011*\"khalsa\" + 0.010*\"muskoge\" + 0.010*\"alam\"\n", + "2019-01-31 01:40:03,962 : INFO : topic #29 (0.020): 0.031*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"produc\" + 0.012*\"market\" + 0.011*\"industri\" + 0.010*\"bank\" + 0.009*\"yawn\" + 0.008*\"manag\" + 0.007*\"oper\"\n", + "2019-01-31 01:40:03,963 : INFO : topic #2 (0.020): 0.049*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"class\" + 0.010*\"coalit\" + 0.010*\"fleet\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:40:03,969 : INFO : topic diff=0.002540, rho=0.020261\n", + "2019-01-31 01:40:04,123 : INFO : PROGRESS: pass 0, at document #4874000/4922894\n", + "2019-01-31 01:40:05,481 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:05,747 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.006*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:40:05,749 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.032*\"place\" + 0.027*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.012*\"schmitz\"\n", + "2019-01-31 01:40:05,750 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:40:05,751 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"nation\" + 0.024*\"offic\" + 0.024*\"govern\" + 0.023*\"minist\" + 0.023*\"member\" + 0.018*\"start\" + 0.017*\"serv\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:40:05,752 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:40:05,758 : INFO : topic diff=0.002992, rho=0.020257\n", + "2019-01-31 01:40:05,914 : INFO : PROGRESS: pass 0, at document #4876000/4922894\n", + "2019-01-31 01:40:07,290 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:07,557 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.039*\"line\" + 0.031*\"rivièr\" + 0.029*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"airmen\" + 0.017*\"serv\" + 0.017*\"traceabl\" + 0.013*\"oper\" + 0.012*\"briarwood\"\n", + "2019-01-31 01:40:07,558 : INFO : topic #22 (0.020): 0.034*\"spars\" + 0.017*\"factor\" + 0.012*\"plaisir\" + 0.010*\"genu\" + 0.010*\"western\" + 0.008*\"biom\" + 0.008*\"median\" + 0.007*\"trap\" + 0.006*\"incom\" + 0.006*\"florida\"\n", + "2019-01-31 01:40:07,559 : INFO : topic #39 (0.020): 0.058*\"canada\" + 0.046*\"canadian\" + 0.025*\"toronto\" + 0.024*\"hoar\" + 0.021*\"ontario\" + 0.015*\"hydrogen\" + 0.015*\"misericordia\" + 0.015*\"new\" + 0.014*\"quebec\" + 0.014*\"novotná\"\n", + "2019-01-31 01:40:07,560 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:40:07,561 : INFO : topic #41 (0.020): 0.043*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.019*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:40:07,567 : INFO : topic diff=0.003077, rho=0.020253\n", + "2019-01-31 01:40:07,727 : INFO : PROGRESS: pass 0, at document #4878000/4922894\n", + "2019-01-31 01:40:09,052 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:09,318 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.031*\"perceptu\" + 0.020*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:40:09,319 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.019*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 01:40:09,320 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"wale\" + 0.014*\"weekli\"\n", + "2019-01-31 01:40:09,321 : INFO : topic #26 (0.020): 0.028*\"champion\" + 0.028*\"workplac\" + 0.025*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.023*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:40:09,322 : INFO : topic #20 (0.020): 0.141*\"scholar\" + 0.039*\"struggl\" + 0.032*\"high\" + 0.029*\"educ\" + 0.023*\"collector\" + 0.017*\"yawn\" + 0.012*\"prognosi\" + 0.011*\"district\" + 0.010*\"gothic\" + 0.010*\"task\"\n", + "2019-01-31 01:40:09,328 : INFO : topic diff=0.003009, rho=0.020249\n", + "2019-01-31 01:40:12,015 : INFO : -11.801 per-word bound, 3568.7 perplexity estimate based on a held-out corpus of 2000 documents with 551274 words\n", + "2019-01-31 01:40:12,016 : INFO : PROGRESS: pass 0, at document #4880000/4922894\n", + "2019-01-31 01:40:13,393 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:13,660 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:40:13,661 : INFO : topic #48 (0.020): 0.077*\"octob\" + 0.077*\"march\" + 0.075*\"sens\" + 0.067*\"juli\" + 0.067*\"januari\" + 0.067*\"notion\" + 0.066*\"august\" + 0.066*\"april\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 01:40:13,662 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.015*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"myspac\"\n", + "2019-01-31 01:40:13,663 : INFO : topic #13 (0.020): 0.027*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.025*\"new\" + 0.024*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"wale\" + 0.014*\"weekli\"\n", + "2019-01-31 01:40:13,664 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.013*\"airbu\" + 0.011*\"refut\"\n", + "2019-01-31 01:40:13,670 : INFO : topic diff=0.003230, rho=0.020244\n", + "2019-01-31 01:40:13,827 : INFO : PROGRESS: pass 0, at document #4882000/4922894\n", + "2019-01-31 01:40:15,209 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:15,476 : INFO : topic #6 (0.020): 0.069*\"fewer\" + 0.023*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"proclaim\" + 0.012*\"rodríguez\" + 0.011*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:40:15,477 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.009*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"effect\" + 0.006*\"treat\"\n", + "2019-01-31 01:40:15,478 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.008*\"elabor\" + 0.008*\"veget\" + 0.006*\"develop\" + 0.006*\"produc\" + 0.006*\"turn\"\n", + "2019-01-31 01:40:15,479 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.047*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:40:15,480 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.025*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.017*\"taxpay\"\n", + "2019-01-31 01:40:15,486 : INFO : topic diff=0.003092, rho=0.020240\n", + "2019-01-31 01:40:15,639 : INFO : PROGRESS: pass 0, at document #4884000/4922894\n", + "2019-01-31 01:40:16,989 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:17,255 : INFO : topic #31 (0.020): 0.050*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.010*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:40:17,256 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.047*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.032*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:40:17,257 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"foam\" + 0.008*\"palmer\"\n", + "2019-01-31 01:40:17,258 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.042*\"american\" + 0.030*\"valour\" + 0.019*\"dutch\" + 0.017*\"folei\" + 0.017*\"player\" + 0.017*\"english\" + 0.017*\"polit\" + 0.011*\"simpler\" + 0.011*\"acrimoni\"\n", + "2019-01-31 01:40:17,259 : INFO : topic #30 (0.020): 0.035*\"leagu\" + 0.035*\"cleveland\" + 0.032*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:40:17,265 : INFO : topic diff=0.002712, rho=0.020236\n", + "2019-01-31 01:40:17,421 : INFO : PROGRESS: pass 0, at document #4886000/4922894\n", + "2019-01-31 01:40:18,792 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:19,059 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.071*\"best\" + 0.035*\"yawn\" + 0.028*\"jacksonvil\" + 0.023*\"japanes\" + 0.020*\"noll\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.018*\"women\" + 0.013*\"prison\"\n", + "2019-01-31 01:40:19,060 : INFO : topic #8 (0.020): 0.026*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.008*\"order\"\n", + "2019-01-31 01:40:19,061 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.043*\"chilton\" + 0.025*\"hong\" + 0.025*\"kong\" + 0.021*\"korea\" + 0.018*\"korean\" + 0.017*\"leah\" + 0.016*\"shirin\" + 0.016*\"sourc\" + 0.014*\"kim\"\n", + "2019-01-31 01:40:19,062 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.022*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:40:19,063 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.025*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:40:19,069 : INFO : topic diff=0.002997, rho=0.020232\n", + "2019-01-31 01:40:19,241 : INFO : PROGRESS: pass 0, at document #4888000/4922894\n", + "2019-01-31 01:40:20,654 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:20,921 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"servitud\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 01:40:20,922 : INFO : topic #2 (0.020): 0.050*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.012*\"blur\" + 0.011*\"nativist\" + 0.011*\"class\" + 0.010*\"coalit\" + 0.010*\"fleet\"\n", + "2019-01-31 01:40:20,923 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.034*\"germani\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.014*\"jewish\" + 0.013*\"der\" + 0.013*\"israel\" + 0.010*\"austria\" + 0.010*\"europ\" + 0.009*\"european\"\n", + "2019-01-31 01:40:20,924 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.070*\"best\" + 0.035*\"yawn\" + 0.029*\"jacksonvil\" + 0.023*\"japanes\" + 0.020*\"noll\" + 0.018*\"festiv\" + 0.018*\"intern\" + 0.018*\"women\" + 0.013*\"prison\"\n", + "2019-01-31 01:40:20,925 : INFO : topic #11 (0.020): 0.022*\"john\" + 0.011*\"david\" + 0.011*\"will\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"paul\" + 0.008*\"slur\" + 0.008*\"rhyme\" + 0.008*\"georg\"\n", + "2019-01-31 01:40:20,931 : INFO : topic diff=0.003682, rho=0.020228\n", + "2019-01-31 01:40:21,092 : INFO : PROGRESS: pass 0, at document #4890000/4922894\n", + "2019-01-31 01:40:22,478 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:22,745 : INFO : topic #45 (0.020): 0.047*\"arsen\" + 0.031*\"museo\" + 0.031*\"jpg\" + 0.029*\"fifteenth\" + 0.021*\"pain\" + 0.021*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.015*\"colder\"\n", + "2019-01-31 01:40:22,746 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.031*\"perceptu\" + 0.021*\"theater\" + 0.018*\"compos\" + 0.018*\"place\" + 0.015*\"damn\" + 0.014*\"orchestr\" + 0.013*\"olympo\" + 0.012*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:40:22,747 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.020*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"airbu\" + 0.010*\"refut\"\n", + "2019-01-31 01:40:22,748 : INFO : topic #34 (0.020): 0.068*\"start\" + 0.032*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:40:22,749 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.035*\"tortur\" + 0.033*\"cotton\" + 0.023*\"multitud\" + 0.022*\"adulthood\" + 0.022*\"area\" + 0.019*\"cede\" + 0.018*\"commun\"\n", + "2019-01-31 01:40:22,755 : INFO : topic diff=0.003061, rho=0.020224\n", + "2019-01-31 01:40:22,911 : INFO : PROGRESS: pass 0, at document #4892000/4922894\n", + "2019-01-31 01:40:24,273 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:24,539 : INFO : topic #10 (0.020): 0.011*\"cdd\" + 0.008*\"media\" + 0.008*\"have\" + 0.008*\"disco\" + 0.007*\"hormon\" + 0.007*\"pathwai\" + 0.007*\"caus\" + 0.006*\"proper\" + 0.006*\"treat\" + 0.006*\"effect\"\n", + "2019-01-31 01:40:24,540 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.006*\"turn\" + 0.006*\"develop\" + 0.006*\"produc\"\n", + "2019-01-31 01:40:24,541 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.007*\"armi\" + 0.007*\"empath\" + 0.007*\"till\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:40:24,542 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"fool\" + 0.013*\"tornado\" + 0.013*\"ret\" + 0.012*\"find\" + 0.012*\"driver\" + 0.010*\"squatter\" + 0.009*\"théori\"\n", + "2019-01-31 01:40:24,543 : INFO : topic #23 (0.020): 0.135*\"audit\" + 0.070*\"best\" + 0.035*\"yawn\" + 0.030*\"jacksonvil\" + 0.024*\"japanes\" + 0.020*\"noll\" + 0.018*\"festiv\" + 0.018*\"women\" + 0.018*\"intern\" + 0.013*\"prison\"\n", + "2019-01-31 01:40:24,549 : INFO : topic diff=0.003183, rho=0.020220\n", + "2019-01-31 01:40:24,763 : INFO : PROGRESS: pass 0, at document #4894000/4922894\n", + "2019-01-31 01:40:26,160 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:26,428 : INFO : topic #35 (0.020): 0.055*\"russia\" + 0.039*\"sovereignti\" + 0.032*\"rural\" + 0.028*\"poison\" + 0.026*\"reprint\" + 0.024*\"personifi\" + 0.021*\"poland\" + 0.019*\"moscow\" + 0.018*\"turin\" + 0.015*\"unfortun\"\n", + "2019-01-31 01:40:26,429 : INFO : topic #26 (0.020): 0.028*\"champion\" + 0.028*\"workplac\" + 0.025*\"woman\" + 0.024*\"olymp\" + 0.023*\"men\" + 0.022*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:40:26,430 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.021*\"institut\" + 0.021*\"collector\" + 0.021*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:40:26,431 : INFO : topic #48 (0.020): 0.078*\"octob\" + 0.077*\"march\" + 0.075*\"sens\" + 0.068*\"notion\" + 0.067*\"januari\" + 0.067*\"juli\" + 0.066*\"august\" + 0.066*\"april\" + 0.065*\"decatur\" + 0.064*\"judici\"\n", + "2019-01-31 01:40:26,432 : INFO : topic #31 (0.020): 0.051*\"fusiform\" + 0.027*\"scientist\" + 0.025*\"taxpay\" + 0.023*\"player\" + 0.019*\"place\" + 0.014*\"clot\" + 0.013*\"leagu\" + 0.011*\"folei\" + 0.010*\"yawn\" + 0.009*\"reconstruct\"\n", + "2019-01-31 01:40:26,438 : INFO : topic diff=0.003392, rho=0.020215\n", + "2019-01-31 01:40:26,594 : INFO : PROGRESS: pass 0, at document #4896000/4922894\n", + "2019-01-31 01:40:27,951 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:28,217 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.016*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.009*\"palmer\" + 0.009*\"foam\"\n", + "2019-01-31 01:40:28,218 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.018*\"grammat\" + 0.016*\"kingdom\" + 0.014*\"portugues\" + 0.012*\"crittenden\"\n", + "2019-01-31 01:40:28,219 : INFO : topic #8 (0.020): 0.027*\"law\" + 0.023*\"cortic\" + 0.018*\"start\" + 0.016*\"act\" + 0.012*\"ricardo\" + 0.012*\"case\" + 0.010*\"replac\" + 0.010*\"polaris\" + 0.008*\"legal\" + 0.008*\"judaism\"\n", + "2019-01-31 01:40:28,220 : INFO : topic #36 (0.020): 0.011*\"network\" + 0.011*\"prognosi\" + 0.010*\"pop\" + 0.009*\"cytokin\" + 0.008*\"develop\" + 0.008*\"diggin\" + 0.008*\"softwar\" + 0.007*\"uruguayan\" + 0.007*\"user\" + 0.007*\"includ\"\n", + "2019-01-31 01:40:28,221 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"john\"\n", + "2019-01-31 01:40:28,227 : INFO : topic diff=0.002795, rho=0.020211\n", + "2019-01-31 01:40:28,385 : INFO : PROGRESS: pass 0, at document #4898000/4922894\n", + "2019-01-31 01:40:29,768 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:40:30,034 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.008*\"mode\" + 0.008*\"uruguayan\" + 0.006*\"develop\" + 0.006*\"turn\" + 0.006*\"produc\"\n", + "2019-01-31 01:40:30,035 : INFO : topic #26 (0.020): 0.028*\"champion\" + 0.028*\"workplac\" + 0.025*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:40:30,036 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.010*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 01:40:30,037 : INFO : topic #28 (0.020): 0.037*\"build\" + 0.031*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"silicon\" + 0.011*\"centuri\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:40:30,038 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"kingdom\" + 0.014*\"portugues\" + 0.012*\"crittenden\"\n", + "2019-01-31 01:40:30,044 : INFO : topic diff=0.003133, rho=0.020207\n", + "2019-01-31 01:40:32,681 : INFO : -11.399 per-word bound, 2701.2 perplexity estimate based on a held-out corpus of 2000 documents with 546394 words\n", + "2019-01-31 01:40:32,681 : INFO : PROGRESS: pass 0, at document #4900000/4922894\n", + "2019-01-31 01:40:34,032 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:34,299 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.023*\"govern\" + 0.023*\"minist\" + 0.022*\"member\" + 0.019*\"serv\" + 0.018*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:40:34,300 : INFO : topic #26 (0.020): 0.028*\"workplac\" + 0.028*\"champion\" + 0.025*\"woman\" + 0.025*\"olymp\" + 0.023*\"men\" + 0.021*\"alic\" + 0.021*\"medal\" + 0.020*\"event\" + 0.018*\"atheist\" + 0.018*\"taxpay\"\n", + "2019-01-31 01:40:34,301 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"mode\"\n", + "2019-01-31 01:40:34,302 : INFO : topic #2 (0.020): 0.048*\"isl\" + 0.039*\"shield\" + 0.018*\"narrat\" + 0.014*\"scot\" + 0.012*\"pope\" + 0.011*\"blur\" + 0.011*\"nativist\" + 0.010*\"class\" + 0.010*\"coalit\" + 0.010*\"fleet\"\n", + "2019-01-31 01:40:34,303 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:40:34,309 : INFO : topic diff=0.003008, rho=0.020203\n", + "2019-01-31 01:40:34,464 : INFO : PROGRESS: pass 0, at document #4902000/4922894\n", + "2019-01-31 01:40:35,845 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:36,111 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:40:36,112 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"fusiform\" + 0.007*\"appear\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:40:36,113 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.008*\"group\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"workplac\"\n", + "2019-01-31 01:40:36,114 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.024*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:40:36,115 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.010*\"direct\" + 0.010*\"acrimoni\" + 0.010*\"movi\"\n", + "2019-01-31 01:40:36,121 : INFO : topic diff=0.002406, rho=0.020199\n", + "2019-01-31 01:40:36,277 : INFO : PROGRESS: pass 0, at document #4904000/4922894\n", + "2019-01-31 01:40:37,630 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:37,896 : INFO : topic #28 (0.020): 0.037*\"build\" + 0.031*\"hous\" + 0.019*\"buford\" + 0.015*\"histor\" + 0.012*\"linear\" + 0.011*\"centuri\" + 0.011*\"silicon\" + 0.011*\"depress\" + 0.011*\"constitut\" + 0.010*\"pistol\"\n", + "2019-01-31 01:40:37,898 : INFO : topic #14 (0.020): 0.024*\"forc\" + 0.022*\"aggress\" + 0.021*\"walter\" + 0.020*\"armi\" + 0.017*\"com\" + 0.013*\"militari\" + 0.013*\"unionist\" + 0.013*\"oper\" + 0.012*\"airbu\" + 0.010*\"diversifi\"\n", + "2019-01-31 01:40:37,899 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:40:37,900 : INFO : topic #19 (0.020): 0.016*\"languag\" + 0.015*\"centuri\" + 0.010*\"woodcut\" + 0.009*\"form\" + 0.009*\"origin\" + 0.009*\"mean\" + 0.008*\"trade\" + 0.008*\"english\" + 0.007*\"known\" + 0.007*\"ancestor\"\n", + "2019-01-31 01:40:37,901 : INFO : topic #9 (0.020): 0.074*\"bone\" + 0.043*\"american\" + 0.030*\"valour\" + 0.020*\"dutch\" + 0.018*\"folei\" + 0.017*\"player\" + 0.017*\"polit\" + 0.016*\"english\" + 0.011*\"acrimoni\" + 0.011*\"simpler\"\n", + "2019-01-31 01:40:37,907 : INFO : topic diff=0.002723, rho=0.020195\n", + "2019-01-31 01:40:38,065 : INFO : PROGRESS: pass 0, at document #4906000/4922894\n", + "2019-01-31 01:40:39,438 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:39,704 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:40:39,705 : INFO : topic #7 (0.020): 0.021*\"snatch\" + 0.020*\"di\" + 0.018*\"factor\" + 0.016*\"yawn\" + 0.016*\"margin\" + 0.014*\"bone\" + 0.013*\"life\" + 0.012*\"faster\" + 0.012*\"will\" + 0.012*\"deal\"\n", + "2019-01-31 01:40:39,706 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"affection\" + 0.011*\"khalsa\" + 0.011*\"muskoge\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:40:39,707 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.034*\"germani\" + 0.016*\"vol\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.010*\"austria\" + 0.009*\"europ\" + 0.009*\"european\"\n", + "2019-01-31 01:40:39,708 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.030*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"kingdom\" + 0.014*\"portugues\" + 0.011*\"paisiello\"\n", + "2019-01-31 01:40:39,714 : INFO : topic diff=0.002928, rho=0.020191\n", + "2019-01-31 01:40:39,870 : INFO : PROGRESS: pass 0, at document #4908000/4922894\n", + "2019-01-31 01:40:41,231 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:41,497 : INFO : topic #43 (0.020): 0.067*\"elect\" + 0.053*\"parti\" + 0.025*\"voluntari\" + 0.022*\"democrat\" + 0.019*\"member\" + 0.017*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"liber\" + 0.013*\"report\"\n", + "2019-01-31 01:40:41,498 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:40:41,499 : INFO : topic #34 (0.020): 0.067*\"start\" + 0.033*\"new\" + 0.031*\"american\" + 0.030*\"unionist\" + 0.026*\"cotton\" + 0.020*\"year\" + 0.015*\"california\" + 0.013*\"warrior\" + 0.012*\"terri\" + 0.012*\"north\"\n", + "2019-01-31 01:40:41,500 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.008*\"battalion\" + 0.008*\"teufel\" + 0.007*\"till\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:40:41,501 : INFO : topic #16 (0.020): 0.056*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.018*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"kingdom\" + 0.014*\"portugues\" + 0.011*\"crittenden\"\n", + "2019-01-31 01:40:41,507 : INFO : topic diff=0.003263, rho=0.020187\n", + "2019-01-31 01:40:41,660 : INFO : PROGRESS: pass 0, at document #4910000/4922894\n", + "2019-01-31 01:40:42,995 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:40:43,261 : INFO : topic #4 (0.020): 0.019*\"enfranchis\" + 0.015*\"depress\" + 0.013*\"pour\" + 0.008*\"mode\" + 0.008*\"veget\" + 0.008*\"elabor\" + 0.008*\"uruguayan\" + 0.006*\"develop\" + 0.006*\"turn\" + 0.006*\"produc\"\n", + "2019-01-31 01:40:43,262 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"word\" + 0.008*\"peopl\" + 0.008*\"group\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:40:43,263 : INFO : topic #42 (0.020): 0.049*\"german\" + 0.034*\"germani\" + 0.015*\"vol\" + 0.014*\"berlin\" + 0.013*\"israel\" + 0.013*\"der\" + 0.013*\"jewish\" + 0.010*\"austria\" + 0.009*\"europ\" + 0.009*\"european\"\n", + "2019-01-31 01:40:43,264 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.010*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:40:43,265 : INFO : topic #12 (0.020): 0.009*\"number\" + 0.007*\"frontal\" + 0.007*\"gener\" + 0.006*\"poet\" + 0.006*\"théori\" + 0.006*\"southern\" + 0.006*\"exampl\" + 0.006*\"servitud\" + 0.006*\"measur\" + 0.006*\"utopian\"\n", + "2019-01-31 01:40:43,271 : INFO : topic diff=0.003394, rho=0.020182\n", + "2019-01-31 01:40:43,421 : INFO : PROGRESS: pass 0, at document #4912000/4922894\n", + "2019-01-31 01:40:44,767 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:45,033 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.013*\"pakistan\" + 0.013*\"islam\" + 0.012*\"anglo\" + 0.011*\"televis\" + 0.011*\"khalsa\" + 0.011*\"affection\" + 0.010*\"muskoge\" + 0.010*\"tajikistan\"\n", + "2019-01-31 01:40:45,034 : INFO : topic #6 (0.020): 0.068*\"fewer\" + 0.024*\"epiru\" + 0.021*\"septemb\" + 0.018*\"teacher\" + 0.014*\"stake\" + 0.012*\"rodríguez\" + 0.012*\"proclaim\" + 0.010*\"direct\" + 0.010*\"movi\" + 0.010*\"acrimoni\"\n", + "2019-01-31 01:40:45,035 : INFO : topic #41 (0.020): 0.044*\"citi\" + 0.025*\"palmer\" + 0.019*\"new\" + 0.018*\"strategist\" + 0.013*\"center\" + 0.013*\"open\" + 0.012*\"includ\" + 0.011*\"lobe\" + 0.011*\"dai\" + 0.009*\"highli\"\n", + "2019-01-31 01:40:45,036 : INFO : topic #16 (0.020): 0.055*\"king\" + 0.031*\"priest\" + 0.020*\"duke\" + 0.019*\"rotterdam\" + 0.018*\"idiosyncrat\" + 0.017*\"quarterli\" + 0.017*\"grammat\" + 0.016*\"kingdom\" + 0.014*\"portugues\" + 0.012*\"princ\"\n", + "2019-01-31 01:40:45,037 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"popolo\" + 0.042*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"multitud\" + 0.022*\"adulthood\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:40:45,043 : INFO : topic diff=0.003446, rho=0.020178\n", + "2019-01-31 01:40:45,202 : INFO : PROGRESS: pass 0, at document #4914000/4922894\n", + "2019-01-31 01:40:46,585 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:46,851 : INFO : topic #30 (0.020): 0.036*\"leagu\" + 0.034*\"cleveland\" + 0.032*\"place\" + 0.028*\"taxpay\" + 0.024*\"scientist\" + 0.023*\"crete\" + 0.021*\"folei\" + 0.017*\"goal\" + 0.015*\"martin\" + 0.013*\"schmitz\"\n", + "2019-01-31 01:40:46,852 : INFO : topic #43 (0.020): 0.066*\"elect\" + 0.054*\"parti\" + 0.025*\"voluntari\" + 0.023*\"democrat\" + 0.019*\"member\" + 0.016*\"polici\" + 0.015*\"republ\" + 0.014*\"bypass\" + 0.013*\"report\" + 0.013*\"liber\"\n", + "2019-01-31 01:40:46,853 : INFO : topic #44 (0.020): 0.031*\"rooftop\" + 0.027*\"final\" + 0.023*\"wife\" + 0.020*\"tourist\" + 0.018*\"champion\" + 0.015*\"martin\" + 0.014*\"chamber\" + 0.014*\"taxpay\" + 0.013*\"tiepolo\" + 0.013*\"open\"\n", + "2019-01-31 01:40:46,854 : INFO : topic #45 (0.020): 0.048*\"arsen\" + 0.031*\"museo\" + 0.030*\"jpg\" + 0.028*\"fifteenth\" + 0.022*\"pain\" + 0.020*\"illicit\" + 0.017*\"artist\" + 0.016*\"exhaust\" + 0.016*\"gai\" + 0.016*\"colder\"\n", + "2019-01-31 01:40:46,855 : INFO : topic #47 (0.020): 0.065*\"muscl\" + 0.032*\"perceptu\" + 0.021*\"theater\" + 0.018*\"place\" + 0.018*\"compos\" + 0.015*\"damn\" + 0.015*\"orchestr\" + 0.013*\"olympo\" + 0.013*\"physician\" + 0.012*\"word\"\n", + "2019-01-31 01:40:46,861 : INFO : topic diff=0.002499, rho=0.020174\n", + "2019-01-31 01:40:47,015 : INFO : PROGRESS: pass 0, at document #4916000/4922894\n", + "2019-01-31 01:40:48,378 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:48,644 : INFO : topic #17 (0.020): 0.079*\"church\" + 0.024*\"cathol\" + 0.022*\"christian\" + 0.021*\"bishop\" + 0.017*\"sail\" + 0.014*\"retroflex\" + 0.010*\"relationship\" + 0.010*\"cathedr\" + 0.009*\"historiographi\" + 0.009*\"poll\"\n", + "2019-01-31 01:40:48,645 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:40:48,646 : INFO : topic #49 (0.020): 0.043*\"india\" + 0.031*\"incumb\" + 0.014*\"pakistan\" + 0.013*\"islam\" + 0.012*\"televis\" + 0.012*\"anglo\" + 0.011*\"sri\" + 0.011*\"tajikistan\" + 0.011*\"khalsa\" + 0.010*\"muskoge\"\n", + "2019-01-31 01:40:48,647 : INFO : topic #32 (0.020): 0.051*\"district\" + 0.046*\"popolo\" + 0.043*\"vigour\" + 0.036*\"tortur\" + 0.033*\"cotton\" + 0.022*\"adulthood\" + 0.022*\"multitud\" + 0.021*\"area\" + 0.019*\"cede\" + 0.018*\"citi\"\n", + "2019-01-31 01:40:48,648 : INFO : topic #3 (0.020): 0.032*\"present\" + 0.025*\"nation\" + 0.025*\"offic\" + 0.024*\"govern\" + 0.023*\"minist\" + 0.022*\"member\" + 0.018*\"serv\" + 0.018*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:40:48,654 : INFO : topic diff=0.003276, rho=0.020170\n", + "2019-01-31 01:40:48,817 : INFO : PROGRESS: pass 0, at document #4918000/4922894\n", + "2019-01-31 01:40:50,225 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:50,491 : INFO : topic #37 (0.020): 0.012*\"charact\" + 0.012*\"septemb\" + 0.010*\"man\" + 0.010*\"anim\" + 0.008*\"comic\" + 0.007*\"appear\" + 0.007*\"fusiform\" + 0.007*\"storag\" + 0.007*\"workplac\" + 0.006*\"black\"\n", + "2019-01-31 01:40:50,492 : INFO : topic #13 (0.020): 0.026*\"australia\" + 0.026*\"london\" + 0.025*\"sourc\" + 0.024*\"new\" + 0.023*\"england\" + 0.022*\"australian\" + 0.020*\"british\" + 0.018*\"ireland\" + 0.014*\"youth\" + 0.014*\"weekli\"\n", + "2019-01-31 01:40:50,494 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:40:50,495 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.008*\"group\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:40:50,496 : INFO : topic #29 (0.020): 0.032*\"companhia\" + 0.013*\"busi\" + 0.012*\"million\" + 0.012*\"market\" + 0.012*\"produc\" + 0.010*\"industri\" + 0.010*\"bank\" + 0.009*\"manag\" + 0.009*\"yawn\" + 0.007*\"oper\"\n", + "2019-01-31 01:40:50,502 : INFO : topic diff=0.003675, rho=0.020166\n", + "2019-01-31 01:40:53,222 : INFO : -11.803 per-word bound, 3573.1 perplexity estimate based on a held-out corpus of 2000 documents with 581976 words\n", + "2019-01-31 01:40:53,222 : INFO : PROGRESS: pass 0, at document #4920000/4922894\n", + "2019-01-31 01:40:54,616 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:54,883 : INFO : topic #27 (0.020): 0.075*\"questionnair\" + 0.020*\"candid\" + 0.017*\"taxpay\" + 0.013*\"fool\" + 0.013*\"tornado\" + 0.012*\"driver\" + 0.012*\"find\" + 0.012*\"ret\" + 0.011*\"squatter\" + 0.010*\"théori\"\n", + "2019-01-31 01:40:54,883 : INFO : topic #48 (0.020): 0.077*\"octob\" + 0.076*\"march\" + 0.076*\"sens\" + 0.068*\"januari\" + 0.068*\"notion\" + 0.067*\"decatur\" + 0.067*\"juli\" + 0.066*\"august\" + 0.065*\"april\" + 0.063*\"judici\"\n", + "2019-01-31 01:40:54,884 : INFO : topic #1 (0.020): 0.052*\"china\" + 0.043*\"chilton\" + 0.025*\"kong\" + 0.025*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:40:54,885 : INFO : topic #3 (0.020): 0.031*\"present\" + 0.026*\"offic\" + 0.025*\"nation\" + 0.023*\"govern\" + 0.023*\"minist\" + 0.022*\"member\" + 0.019*\"serv\" + 0.018*\"start\" + 0.015*\"gener\" + 0.014*\"chickasaw\"\n", + "2019-01-31 01:40:54,886 : INFO : topic #25 (0.020): 0.031*\"ring\" + 0.019*\"area\" + 0.017*\"lagrang\" + 0.017*\"warmth\" + 0.015*\"mount\" + 0.010*\"north\" + 0.009*\"sourc\" + 0.009*\"land\" + 0.008*\"palmer\" + 0.008*\"foam\"\n", + "2019-01-31 01:40:54,892 : INFO : topic diff=0.003423, rho=0.020162\n", + "2019-01-31 01:40:55,051 : INFO : PROGRESS: pass 0, at document #4922000/4922894\n", + "2019-01-31 01:40:56,425 : INFO : merging changes from 2000 documents into a model of 4922894 documents\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:40:56,692 : INFO : topic #5 (0.020): 0.038*\"abroad\" + 0.028*\"son\" + 0.027*\"rel\" + 0.026*\"reconstruct\" + 0.021*\"band\" + 0.016*\"muscl\" + 0.016*\"simultan\" + 0.014*\"charcoal\" + 0.013*\"toyota\" + 0.010*\"vocabulari\"\n", + "2019-01-31 01:40:56,693 : INFO : topic #0 (0.020): 0.061*\"statewid\" + 0.038*\"line\" + 0.030*\"rivièr\" + 0.030*\"raid\" + 0.025*\"rosenwald\" + 0.020*\"airmen\" + 0.017*\"traceabl\" + 0.017*\"serv\" + 0.013*\"briarwood\" + 0.013*\"oper\"\n", + "2019-01-31 01:40:56,694 : INFO : topic #24 (0.020): 0.041*\"book\" + 0.036*\"publicis\" + 0.024*\"word\" + 0.020*\"new\" + 0.014*\"edit\" + 0.014*\"presid\" + 0.011*\"magazin\" + 0.011*\"author\" + 0.011*\"nicola\" + 0.011*\"storag\"\n", + "2019-01-31 01:40:56,695 : INFO : topic #48 (0.020): 0.077*\"octob\" + 0.076*\"march\" + 0.075*\"sens\" + 0.067*\"januari\" + 0.067*\"notion\" + 0.067*\"decatur\" + 0.066*\"juli\" + 0.066*\"august\" + 0.065*\"april\" + 0.063*\"judici\"\n", + "2019-01-31 01:40:56,696 : INFO : topic #38 (0.020): 0.022*\"walter\" + 0.011*\"aza\" + 0.009*\"forc\" + 0.008*\"teufel\" + 0.008*\"battalion\" + 0.008*\"till\" + 0.007*\"empath\" + 0.007*\"armi\" + 0.006*\"militari\" + 0.006*\"govern\"\n", + "2019-01-31 01:40:56,702 : INFO : topic diff=0.003322, rho=0.020158\n", + "2019-01-31 01:40:58,121 : INFO : -11.497 per-word bound, 2890.3 perplexity estimate based on a held-out corpus of 894 documents with 240967 words\n", + "2019-01-31 01:40:58,121 : INFO : PROGRESS: pass 0, at document #4922894/4922894\n", + "2019-01-31 01:40:58,868 : INFO : merging changes from 894 documents into a model of 4922894 documents\n", + "2019-01-31 01:40:59,135 : INFO : topic #11 (0.020): 0.023*\"john\" + 0.011*\"will\" + 0.011*\"david\" + 0.011*\"jame\" + 0.010*\"rival\" + 0.009*\"mexican–american\" + 0.008*\"slur\" + 0.008*\"georg\" + 0.008*\"paul\" + 0.008*\"rhyme\"\n", + "2019-01-31 01:40:59,136 : INFO : topic #18 (0.020): 0.011*\"théori\" + 0.007*\"later\" + 0.006*\"sack\" + 0.006*\"dai\" + 0.005*\"kill\" + 0.005*\"like\" + 0.005*\"retrospect\" + 0.005*\"end\" + 0.004*\"call\" + 0.004*\"help\"\n", + "2019-01-31 01:40:59,137 : INFO : topic #40 (0.020): 0.087*\"unit\" + 0.023*\"schuster\" + 0.022*\"institut\" + 0.021*\"collector\" + 0.020*\"requir\" + 0.019*\"student\" + 0.014*\"professor\" + 0.012*\"word\" + 0.011*\"governor\" + 0.011*\"degre\"\n", + "2019-01-31 01:40:59,138 : INFO : topic #15 (0.020): 0.011*\"small\" + 0.010*\"organ\" + 0.009*\"develop\" + 0.009*\"commun\" + 0.008*\"group\" + 0.008*\"peopl\" + 0.008*\"word\" + 0.007*\"woman\" + 0.007*\"human\" + 0.006*\"summerhil\"\n", + "2019-01-31 01:40:59,139 : INFO : topic #1 (0.020): 0.053*\"china\" + 0.045*\"chilton\" + 0.026*\"kong\" + 0.026*\"hong\" + 0.021*\"korea\" + 0.019*\"korean\" + 0.016*\"leah\" + 0.015*\"sourc\" + 0.015*\"shirin\" + 0.014*\"kim\"\n", + "2019-01-31 01:40:59,145 : INFO : topic diff=0.003886, rho=0.020154\n", + "2019-01-31 01:40:59,155 : INFO : saving LdaState object under lda.model.state, separately None\n", + "2019-01-31 01:40:59,266 : INFO : saved lda.model.state\n", + "2019-01-31 01:40:59,325 : INFO : saving LdaModel object under lda.model, separately ['expElogbeta', 'sstats']\n", + "2019-01-31 01:40:59,326 : INFO : not storing attribute dispatcher\n", + "2019-01-31 01:40:59,327 : INFO : not storing attribute state\n", + "2019-01-31 01:40:59,327 : INFO : storing np array 'expElogbeta' to lda.model.expElogbeta.npy\n", + "2019-01-31 01:40:59,353 : INFO : not storing attribute id2word\n", + "2019-01-31 01:40:59,356 : INFO : saved lda.model\n" ] } ], "source": [ - "for row_idx, row in tm_metrics.iterrows():\n", - " print('='*20)\n", - " print(row['model'])\n", - " print('='*20)\n", - " print()\n", - " for topic_idx, tokens in row['topics']:\n", - " print('Topic: {}'.format(topic_idx))\n", - " print(tokens)\n", - " print()\n", - " print()" + "row = dict()\n", + "row['model'] = 'lda'\n", + "row['train_time'], row['mean_ram'], row['max_ram'], lda = get_train_time_and_ram(\n", + " lambda: LdaModel(**params),\n", + " 'lda',\n", + ")\n", + "lda.save('lda.model')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "As we can see, NMF can be significantly faster than LDA without sacrificing quality of topics too much (or not sacrificing at all)\n", + "### Load LDA and store metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2019-01-31 01:40:59,377 : INFO : loading LdaModel object from lda.model\n", + "2019-01-31 01:40:59,379 : INFO : loading expElogbeta from lda.model.expElogbeta.npy with mmap=None\n", + "2019-01-31 01:40:59,383 : INFO : setting ignored attribute dispatcher to None\n", + "2019-01-31 01:40:59,384 : INFO : setting ignored attribute state to None\n", + "2019-01-31 01:40:59,384 : INFO : setting ignored attribute id2word to None\n", + "2019-01-31 01:40:59,385 : INFO : loaded lda.model\n", + "2019-01-31 01:40:59,385 : INFO : loading LdaState object from lda.model.state\n", + "2019-01-31 01:40:59,479 : INFO : loaded lda.model.state\n", + "/home/anotherbugmaster/gensim/gensim/matutils.py:503: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n", + " result = np.column_stack(sparse2full(doc, num_terms) for doc in corpus)\n", + "2019-01-31 01:41:07,761 : INFO : CorpusAccumulator accumulated stats from 1000 documents\n", + "2019-01-31 01:41:07,871 : INFO : CorpusAccumulator accumulated stats from 2000 documents\n" + ] + } + ], + "source": [ + "lda = LdaModel.load('lda.model')\n", + "row.update(get_tm_metrics(lda, test_corpus))\n", + "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Train Sklearn NMF and store metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['sklearn_nmf.joblib']" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Normalize the input corpus to pass to sklearn\n", + "train_csc.data /= np.repeat(np.array(train_csc.sum(axis=0)), train_csc.getnnz(axis=0))\n", "\n", - "Moreover, NMF can be very flexible on RAM usage due to sparsity option, which leaves only small amount of elements in inner matrices." + "row = dict()\n", + "row['model'] = 'sklearn_nmf'\n", + "sklearn_nmf = SklearnNmf(n_components=50, tol=1e-2, random_state=42)\n", + "row['train_time'], row['mean_ram'], row['max_ram'], sklearn_nmf = get_train_time_and_ram(\n", + " lambda: sklearn_nmf.fit(train_csc.T),\n", + " 'slearn_nmf',\n", + ")\n", + "\n", + "joblib.dump(sklearn_nmf, 'sklearn_nmf.joblib')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load Sklearn NMF and store metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "sklearn_nmf = joblib.load('sklearn_nmf.joblib')\n", + "row.update(get_sklearn_metrics(\n", + " sklearn_nmf, test_csc.toarray(),\n", + "))\n", + "tm_metrics = tm_metrics.append(pd.Series(row), ignore_index=True)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "tm_metrics.replace(np.nan, '-', inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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coherencel2_normmax_rammean_rammodelperplexitytrain_time
0-2.90777.3380008587 MB8553.0 MBgensim_nmf3817.23900000:24:16
1-2.52867.3648008773 MB8773.0 MBlda4701.97600001:25:59
2-6.97758317238 MB11675.0 MBsklearn_nmf4437.41731500:40:41
\n", + "
" + ], + "text/plain": [ + " coherence l2_norm max_ram mean_ram model perplexity \\\n", + "0 -2.9077 7.338000 8587 MB 8553.0 MB gensim_nmf 3817.239000 \n", + "1 -2.5286 7.364800 8773 MB 8773.0 MB lda 4701.976000 \n", + "2 - 6.977583 17238 MB 11675.0 MB sklearn_nmf 4437.417315 \n", + "\n", + " train_time \n", + "0 00:24:16 \n", + "1 01:25:59 \n", + "2 00:40:41 " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tm_metrics" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As we can see, NMF can be significantly faster than LDA without sacrificing quality of topics too much (or not sacrificing at all)\n", + "\n", + "Moreover, NMF can be very flexible on RAM usage due to sparsity option, which leaves only small amount of elements in inner matrices." + ] } ], "metadata": { @@ -1304,7 +23530,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.2" + "version": "3.5.2" } }, "nbformat": 4, From bef04405ff7e9124814ed5d89b243a7a833c9b2a Mon Sep 17 00:00:00 2001 From: Ivan Menshikh Date: Thu, 31 Jan 2019 09:11:37 +0500 Subject: [PATCH 14/31] bump version to 3.7.1 --- docs/src/conf.py | 2 +- gensim/__init__.py | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/src/conf.py b/docs/src/conf.py index 28da8af97e..001b357a9a 100644 --- a/docs/src/conf.py +++ b/docs/src/conf.py @@ -57,7 +57,7 @@ # The short X.Y version. version = '3.7' # The full version, including alpha/beta/rc tags. -release = '3.7.0' +release = '3.7.1' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. diff --git a/gensim/__init__.py b/gensim/__init__.py index 6499a59e97..58418001bf 100644 --- a/gensim/__init__.py +++ b/gensim/__init__.py @@ -5,7 +5,7 @@ from gensim import parsing, corpora, matutils, interfaces, models, similarities, summarization, utils # noqa:F401 import logging -__version__ = '3.7.0' +__version__ = '3.7.1' logger = logging.getLogger('gensim') diff --git a/setup.py b/setup.py index 0de5e535c5..0e60453d01 100644 --- a/setup.py +++ b/setup.py @@ -301,7 +301,7 @@ def finalize_options(self): setup( name='gensim', - version='3.7.0', + version='3.7.1', description='Python framework for fast Vector Space Modelling', long_description=LONG_DESCRIPTION, From a8c6d4d28886ea7cb070452fcf4545c3bef65fb3 Mon Sep 17 00:00:00 2001 From: Ivan Menshikh Date: Thu, 31 Jan 2019 09:17:06 +0500 Subject: [PATCH 15/31] bump CHANGELOG to 3.7.1 --- CHANGELOG.md | 50 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 04c81ddcd6..d1e3f2cca2 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,55 @@ Changes =========== +## 3.7.1, 2019-01-31 + +### :+1: Improvements + +* NMF optimization & documentation (__[@anotherbugmaster](https://github.com/anotherbugmaster)__, [#2361](https://github.com/RaRe-Technologies/gensim/pull/2361)) +* Optimize `FastText.load_fasttext_model` (__[@mpenkov](https://github.com/mpenkov)__, [#2340](https://github.com/RaRe-Technologies/gensim/pull/2340)) +* Add warning when string is used as argument to `Doc2Vec.infer_vector` (__[@tobycheese](https://github.com/tobycheese)__, [#2347](https://github.com/RaRe-Technologies/gensim/pull/2347)) +* Fix light linting issues in `LdaSeqModel` (__[@horpto](https://github.com/horpto)__, [#2360](https://github.com/RaRe-Technologies/gensim/pull/2360)) +* Move out `process_result_queue` from cycle in `LdaMulticore` (__[@horpto](https://github.com/horpto)__, [#2358](https://github.com/RaRe-Technologies/gensim/pull/2358)) + + +### :red_circle: Bug fixes + +* Fix infinite diff in `LdaModel.do_mstep` (__[@horpto](https://github.com/horpto)__, [#2344](https://github.com/RaRe-Technologies/gensim/pull/2344)) +* Fix backward compatibility issue: loading `FastTextKeyedVectors` using `KeyedVectors` (missing attribute `compatible_hash`) (__[@menshikh-iv](https://github.com/menshikh-iv)__, [#2349](https://github.com/RaRe-Technologies/gensim/pull/2349)) +* Fix logging issue (conda-forge related) (__[@menshikh-iv](https://github.com/menshikh-iv)__, [#2339](https://github.com/RaRe-Technologies/gensim/pull/2339)) +* Fix `WordEmbeddingsKeyedVectors.most_similar` (__[@Witiko](https://github.com/Witiko)__, [#2356](https://github.com/RaRe-Technologies/gensim/pull/2356)) +* Fix issues of `flake8==3.7.1` (__[@horpto](https://github.com/horpto)__, [#2365](https://github.com/RaRe-Technologies/gensim/pull/2365)) + + +### :books: Tutorial and doc improvements + +* Improve `FastText` documentation (__[@mpenkov](https://github.com/mpenkov)__, [#2353](https://github.com/RaRe-Technologies/gensim/pull/2353)) +* Minor corrections and improvements in `Any*Vec` docstrings (__[@tobycheese](https://github.com/tobycheese)__, [#2345](https://github.com/RaRe-Technologies/gensim/pull/2345)) +* Fix the example code for SparseTermSimilarityMatrix (__[@Witiko](https://github.com/Witiko)__, [#2359](https://github.com/RaRe-Technologies/gensim/pull/2359)) +* Update `poincare` documentation to indicate the relation format (__[@AMR-KELEG](https://github.com/AMR-KELEG)__, [#2357](https://github.com/RaRe-Technologies/gensim/pull/2357)) + + +### :warning: Deprecations (will be removed in the next major release) + +* Remove + - `gensim.models.wrappers.fasttext` (obsoleted by the new native `gensim.models.fasttext` implementation) + - `gensim.examples` + - `gensim.nosy` + - `gensim.scripts.word2vec_standalone` + - `gensim.scripts.make_wiki_lemma` + - `gensim.scripts.make_wiki_online` + - `gensim.scripts.make_wiki_online_lemma` + - `gensim.scripts.make_wiki_online_nodebug` + - `gensim.scripts.make_wiki` (all of these obsoleted by the new native `gensim.scripts.segment_wiki` implementation) + - "deprecated" functions and attributes + +* Move + - `gensim.scripts.make_wikicorpus` ➡ `gensim.scripts.make_wiki.py` + - `gensim.summarization` ➡ `gensim.models.summarization` + - `gensim.topic_coherence` ➡ `gensim.models._coherence` + - `gensim.utils` ➡ `gensim.utils.utils` (old imports will continue to work) + - `gensim.parsing.*` ➡ `gensim.utils.text_utils` + + ## 3.7.0, 2019-01-18 ### :star2: New features From 8865cef1eda4fea6ab1f3878dd07ca9807ecb1bd Mon Sep 17 00:00:00 2001 From: Ivan Menshikh Date: Thu, 31 Jan 2019 09:19:02 +0500 Subject: [PATCH 16/31] regenerated C/CPP files with Cython --- gensim/_matutils.c | 440 +-- gensim/corpora/_mmreader.c | 26 +- gensim/models/_utils_any2vec.c | 434 +-- gensim/models/doc2vec_corpusfile.cpp | 434 +-- gensim/models/doc2vec_inner.c | 436 +-- gensim/models/fasttext_corpusfile.cpp | 434 +-- gensim/models/fasttext_inner.c | 434 +-- gensim/models/nmf_pgd.c | 3740 +++++++++++++------------ gensim/models/word2vec_corpusfile.cpp | 432 +-- gensim/models/word2vec_inner.c | 434 +-- 10 files changed, 3626 insertions(+), 3618 deletions(-) diff --git a/gensim/_matutils.c b/gensim/_matutils.c index 52d56d63b9..358dfcc7ea 100644 --- a/gensim/_matutils.c +++ b/gensim/_matutils.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 1 #include #ifndef offsetof @@ -398,7 +398,7 @@ typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -421,7 +421,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -959,7 +959,7 @@ typedef struct { } __Pyx_BufFmt_Context; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -968,7 +968,7 @@ typedef struct { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -977,7 +977,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -986,7 +986,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -995,7 +995,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -1004,7 +1004,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -1013,7 +1013,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -1022,7 +1022,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -1031,7 +1031,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -1040,7 +1040,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -1049,7 +1049,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -1058,7 +1058,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -1067,7 +1067,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -1076,7 +1076,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -1085,7 +1085,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -1094,7 +1094,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -1103,7 +1103,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1112,7 +1112,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1121,7 +1121,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1130,7 +1130,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1139,7 +1139,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1178,7 +1178,7 @@ struct __pyx_MemviewEnum_obj; struct __pyx_memoryview_obj; struct __pyx_memoryviewslice_obj; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1187,7 +1187,7 @@ struct __pyx_memoryviewslice_obj; */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1196,7 +1196,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1205,7 +1205,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -6142,7 +6142,7 @@ static CYTHON_INLINE double __pyx_fuse_1__pyx_f_6gensim_9_matutils__digamma(doub return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -6191,7 +6191,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -6200,7 +6200,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -6209,7 +6209,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -6218,7 +6218,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6232,7 +6232,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -6243,7 +6243,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6252,7 +6252,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -6265,7 +6265,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 272, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6274,7 +6274,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6288,7 +6288,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -6299,7 +6299,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6308,7 +6308,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -6321,7 +6321,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 276, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6330,7 +6330,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -6339,7 +6339,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -6348,7 +6348,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6358,7 +6358,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -6367,7 +6367,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -6376,7 +6376,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -6388,7 +6388,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -6397,7 +6397,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -6407,7 +6407,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6417,7 +6417,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -6427,7 +6427,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -6438,7 +6438,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -6447,7 +6447,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -6456,7 +6456,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -6465,7 +6465,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -6474,7 +6474,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -6487,7 +6487,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -6500,7 +6500,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -6510,7 +6510,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -6520,7 +6520,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6540,7 +6540,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -6557,7 +6557,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6566,7 +6566,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -6579,7 +6579,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6588,7 +6588,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -6601,7 +6601,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -6612,7 +6612,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -6623,7 +6623,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -6634,7 +6634,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -6645,7 +6645,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -6656,7 +6656,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -6667,7 +6667,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -6678,7 +6678,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -6689,7 +6689,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -6700,7 +6700,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -6711,7 +6711,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -6722,7 +6722,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -6733,7 +6733,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -6744,7 +6744,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -6755,7 +6755,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -6766,7 +6766,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -6777,7 +6777,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -6798,7 +6798,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -6807,7 +6807,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -6817,7 +6817,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -6826,7 +6826,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -6836,7 +6836,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -6845,7 +6845,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -6854,7 +6854,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -6864,7 +6864,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -6874,7 +6874,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -6906,7 +6906,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -6930,7 +6930,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -6940,7 +6940,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -6949,7 +6949,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -6958,7 +6958,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6968,7 +6968,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -6977,7 +6977,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6986,7 +6986,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -6998,7 +6998,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -7012,7 +7012,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; 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__Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":831 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":831 * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): * return PyArray_MultiIterNew(4, a, b, c, d) # <<<<<<<<<<<<<< @@ -7167,7 +7167,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__ __pyx_t_1 = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":830 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":830 * return PyArray_MultiIterNew(3, a, b, c) * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< @@ -7186,7 +7186,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 * return PyArray_MultiIterNew(4, a, b, c, d) * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< @@ -7200,7 +7200,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":834 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":834 * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< @@ -7214,7 +7214,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ __pyx_t_1 = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 * return PyArray_MultiIterNew(4, a, b, c, d) * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< @@ -7233,7 +7233,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -7247,7 +7247,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ int __pyx_t_1; __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -7257,7 +7257,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ __pyx_t_1 = (PyDataType_HASSUBARRAY(__pyx_v_d) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":838 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":838 * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): * return d.subarray.shape # <<<<<<<<<<<<<< @@ -7269,7 +7269,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ __pyx_r = ((PyObject*)__pyx_v_d->subarray->shape); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -7278,7 +7278,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 * return d.subarray.shape * else: * return () # <<<<<<<<<<<<<< @@ -7292,7 +7292,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ goto __pyx_L0; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -7307,7 +7307,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -7336,7 +7336,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -7345,7 +7345,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -7354,7 +7354,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -7377,7 +7377,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -7394,7 +7394,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -7429,7 +7429,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -7446,7 +7446,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -7459,7 +7459,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 856, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -7468,7 +7468,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7488,7 +7488,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L8_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -7505,7 +7505,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = __pyx_t_7; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7514,7 +7514,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -7527,7 +7527,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7536,7 +7536,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -7552,7 +7552,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -7561,7 +7561,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -7570,7 +7570,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -7581,7 +7581,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -7591,7 +7591,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -7601,7 +7601,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -7613,7 +7613,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -7623,7 +7623,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -7636,7 +7636,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -7645,7 +7645,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -7663,7 +7663,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -7681,7 +7681,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -7699,7 +7699,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -7717,7 +7717,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -7735,7 +7735,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -7753,7 +7753,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -7771,7 +7771,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -7789,7 +7789,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -7807,7 +7807,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -7825,7 +7825,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -7843,7 +7843,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -7861,7 +7861,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -7879,7 +7879,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -7899,7 +7899,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -7919,7 +7919,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -7939,7 +7939,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -7957,7 +7957,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -7976,7 +7976,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -7985,7 +7985,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -7995,7 +7995,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -8008,7 +8008,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -8018,7 +8018,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -8028,7 +8028,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -8053,7 +8053,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -8065,7 +8065,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -8074,7 +8074,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -8083,7 +8083,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -8095,7 +8095,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -8110,7 +8110,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -8119,7 +8119,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -8129,7 +8129,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -8140,7 +8140,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -8149,7 +8149,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -8161,7 +8161,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -8176,7 +8176,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -8197,7 +8197,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -8213,7 +8213,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -8222,7 +8222,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -8236,7 +8236,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -8251,7 +8251,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -8267,7 +8267,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -8282,7 +8282,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -8305,7 +8305,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -8326,7 +8326,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8342,7 +8342,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -8351,7 +8351,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8365,7 +8365,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -8380,7 +8380,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -8396,7 +8396,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8411,7 +8411,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -8434,7 +8434,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -8455,7 +8455,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_ufunc", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -8471,7 +8471,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1048 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1048 * cdef inline int import_ufunc() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -8480,7 +8480,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1048, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -8494,7 +8494,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -8508,7 +8508,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -8522,7 +8522,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -8537,7 +8537,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -12127,8 +12127,8 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ goto __pyx_L9_try_end; __pyx_L4_error:; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; - __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; /* "View.MemoryView":432 * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, @@ -12837,11 +12837,11 @@ static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview goto __pyx_L6_except_return; } __pyx_L3_error:; - __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0; + __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0; __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0; - __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; - __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; /* "View.MemoryView":490 * try: @@ -22230,7 +22230,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__6); __Pyx_GIVEREF(__pyx_tuple__6); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -22241,7 +22241,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__7); __Pyx_GIVEREF(__pyx_tuple__7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -22252,7 +22252,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__8); __Pyx_GIVEREF(__pyx_tuple__8); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -22263,7 +22263,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__9); __Pyx_GIVEREF(__pyx_tuple__9); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -22274,7 +22274,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__10); __Pyx_GIVEREF(__pyx_tuple__10); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -22285,7 +22285,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__11); __Pyx_GIVEREF(__pyx_tuple__11); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -22296,7 +22296,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__12); __Pyx_GIVEREF(__pyx_tuple__12); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -27200,7 +27200,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -27355,7 +27355,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); diff --git a/gensim/corpora/_mmreader.c b/gensim/corpora/_mmreader.c index 03734e0f32..e8c98eccc3 100644 --- a/gensim/corpora/_mmreader.c +++ b/gensim/corpora/_mmreader.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -398,7 +398,7 @@ typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -421,7 +421,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -2227,11 +2227,11 @@ static int __pyx_pf_6gensim_7corpora_9_mmreader_8MmReader___init__(struct __pyx_ __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0; goto __pyx_L18_try_end; __pyx_L13_error:; + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; - __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; - __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /* "gensim/corpora/_mmreader.pyx":70 * (self.input, header) @@ -2546,13 +2546,13 @@ static int __pyx_pf_6gensim_7corpora_9_mmreader_8MmReader___init__(struct __pyx_ __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0; goto __pyx_L12_try_end; __pyx_L7_error:; - __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0; + __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0; - __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_XDECREF(__pyx_t_18); __pyx_t_18 = 0; + __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0; __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; - __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /*except:*/ { __Pyx_AddTraceback("gensim.corpora._mmreader.MmReader.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_3, &__pyx_t_1, &__pyx_t_2) < 0) __PYX_ERR(0, 62, __pyx_L9_except_error) @@ -3784,13 +3784,13 @@ static PyObject *__pyx_gb_6gensim_7corpora_9_mmreader_8MmReader_10generator(__py __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0; goto __pyx_L13_try_end; __pyx_L8_error:; - __Pyx_XDECREF(__pyx_t_16); __pyx_t_16 = 0; - __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; - __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0; + __Pyx_XDECREF(__pyx_t_16); __pyx_t_16 = 0; __Pyx_XDECREF(__pyx_t_18); __pyx_t_18 = 0; __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; + __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; + __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; /*except:*/ { __Pyx_AddTraceback("gensim.corpora._mmreader.MmReader.__iter__", __pyx_clineno, __pyx_lineno, __pyx_filename); if (__Pyx_GetException(&__pyx_t_2, &__pyx_t_18, &__pyx_t_15) < 0) __PYX_ERR(0, 127, __pyx_L10_except_error) diff --git a/gensim/models/_utils_any2vec.c b/gensim/models/_utils_any2vec.c index 1e21639afa..c9709ad9be 100644 --- a/gensim/models/_utils_any2vec.c +++ b/gensim/models/_utils_any2vec.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -398,7 +398,7 @@ typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -421,7 +421,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -847,7 +847,7 @@ static const char *__pyx_f[] = { "type.pxd", }; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -856,7 +856,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -865,7 +865,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -874,7 +874,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -883,7 +883,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -892,7 +892,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -901,7 +901,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -910,7 +910,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -919,7 +919,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -928,7 +928,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -937,7 +937,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -946,7 +946,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -955,7 +955,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -964,7 +964,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -973,7 +973,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -982,7 +982,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -991,7 +991,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1000,7 +1000,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1009,7 +1009,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1018,7 +1018,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1027,7 +1027,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1062,7 +1062,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do /*--- Type declarations ---*/ -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1071,7 +1071,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1080,7 +1080,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1089,7 +1089,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -2843,7 +2843,7 @@ static PyObject *__pyx_pf_6gensim_6models_14_utils_any2vec_6compute_ngrams_bytes return __pyx_r; } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -2892,7 +2892,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -2901,7 +2901,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -2910,7 +2910,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -2919,7 +2919,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -2933,7 +2933,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -2944,7 +2944,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -2953,7 +2953,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -2966,7 +2966,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 272, __pyx_L1_error) - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -2975,7 +2975,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -2989,7 +2989,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -3000,7 +3000,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -3009,7 +3009,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -3022,7 +3022,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 276, __pyx_L1_error) - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -3031,7 +3031,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -3040,7 +3040,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -3049,7 +3049,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -3059,7 +3059,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -3068,7 +3068,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -3077,7 +3077,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -3089,7 +3089,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -3098,7 +3098,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -3108,7 +3108,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -3118,7 +3118,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -3128,7 +3128,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -3139,7 +3139,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -3148,7 +3148,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -3157,7 +3157,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -3166,7 +3166,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -3175,7 +3175,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -3188,7 +3188,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -3201,7 +3201,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -3211,7 +3211,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -3221,7 +3221,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -3241,7 +3241,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -3258,7 +3258,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -3267,7 +3267,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -3280,7 +3280,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -3289,7 +3289,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -3302,7 +3302,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -3313,7 +3313,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -3324,7 +3324,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -3335,7 +3335,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -3346,7 +3346,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -3357,7 +3357,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -3368,7 +3368,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -3379,7 +3379,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -3390,7 +3390,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -3401,7 +3401,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -3412,7 +3412,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -3423,7 +3423,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -3434,7 +3434,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -3445,7 +3445,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -3456,7 +3456,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -3467,7 +3467,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -3478,7 +3478,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -3499,7 +3499,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -3508,7 +3508,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -3518,7 +3518,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -3527,7 +3527,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -3537,7 +3537,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -3546,7 +3546,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -3555,7 +3555,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -3565,7 +3565,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -3575,7 +3575,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -3607,7 +3607,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -3631,7 +3631,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -3641,7 +3641,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -3650,7 +3650,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -3659,7 +3659,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -3669,7 +3669,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -3678,7 +3678,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -3687,7 +3687,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -3699,7 +3699,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -3713,7 +3713,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; 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} -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -4037,7 +4037,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -4046,7 +4046,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -4055,7 +4055,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -4078,7 +4078,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -4095,7 +4095,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -4130,7 +4130,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -4147,7 +4147,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -4160,7 +4160,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; 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__pyx_L7_bool_binop_done:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -4215,7 +4215,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -4228,7 +4228,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -4237,7 +4237,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -4253,7 +4253,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -4262,7 +4262,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -4271,7 +4271,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -4282,7 +4282,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -4292,7 +4292,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -4302,7 +4302,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -4314,7 +4314,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -4324,7 +4324,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -4337,7 +4337,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -4346,7 +4346,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -4364,7 +4364,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -4382,7 +4382,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -4400,7 +4400,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -4418,7 +4418,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -4436,7 +4436,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -4454,7 +4454,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -4472,7 +4472,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -4490,7 +4490,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -4508,7 +4508,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -4526,7 +4526,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -4544,7 +4544,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -4562,7 +4562,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -4580,7 +4580,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -4600,7 +4600,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -4620,7 +4620,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -4640,7 +4640,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -4658,7 +4658,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -4677,7 +4677,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -4686,7 +4686,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -4696,7 +4696,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -4709,7 +4709,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -4719,7 +4719,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -4729,7 +4729,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -4754,7 +4754,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -4766,7 +4766,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -4775,7 +4775,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -4784,7 +4784,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -4796,7 +4796,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -4811,7 +4811,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -4820,7 +4820,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -4830,7 +4830,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -4841,7 +4841,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -4850,7 +4850,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -4862,7 +4862,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -4877,7 +4877,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -4898,7 +4898,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -4914,7 +4914,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -4923,7 +4923,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -4937,7 +4937,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -4952,7 +4952,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -4968,7 +4968,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -4983,7 +4983,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -5006,7 +5006,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -5027,7 +5027,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -5043,7 +5043,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -5052,7 +5052,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -5066,7 +5066,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -5081,7 +5081,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -5097,7 +5097,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -5112,7 +5112,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -5135,7 +5135,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -5156,7 +5156,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; 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__Pyx_GIVEREF(__pyx_tuple__5); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -5400,7 +5400,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__6); __Pyx_GIVEREF(__pyx_tuple__6); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -5411,7 +5411,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__7); __Pyx_GIVEREF(__pyx_tuple__7); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -5422,7 +5422,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__8); __Pyx_GIVEREF(__pyx_tuple__8); - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -5801,7 +5801,7 @@ if (!__Pyx_RefNanny) { if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_2) < 0) __PYX_ERR(0, 1, __pyx_L1_error) __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* "../../envs/gensim/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -7543,7 +7543,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_int(unsigned int value) theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -7698,7 +7698,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_int(unsigned int value) theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); diff --git a/gensim/models/doc2vec_corpusfile.cpp b/gensim/models/doc2vec_corpusfile.cpp index eb2afa5f98..e9f809730c 100644 --- a/gensim/models/doc2vec_corpusfile.cpp +++ b/gensim/models/doc2vec_corpusfile.cpp @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -412,7 +412,7 @@ class __Pyx_FakeReference { typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -435,7 +435,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -883,7 +883,7 @@ static const char *__pyx_f[] = { #endif -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -892,7 +892,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -901,7 +901,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -910,7 +910,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -919,7 +919,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -928,7 +928,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -937,7 +937,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -946,7 +946,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -955,7 +955,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -964,7 +964,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -973,7 +973,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -982,7 +982,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -991,7 +991,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -1000,7 +1000,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -1009,7 +1009,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -1018,7 +1018,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -1027,7 +1027,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1036,7 +1036,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1045,7 +1045,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1054,7 +1054,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1063,7 +1063,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1118,7 +1118,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonLineSentence; struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonVocab; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1127,7 +1127,7 @@ struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonVocab; */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1136,7 +1136,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1145,7 +1145,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -5886,7 +5886,7 @@ static PyObject *__pyx_pf_6gensim_6models_18doc2vec_corpusfile_4d2v_train_epoch_ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -5935,7 +5935,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -5944,7 +5944,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -5953,7 +5953,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -5962,7 +5962,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -5976,7 +5976,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -5987,7 +5987,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -5996,7 +5996,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -6009,7 +6009,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 272, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6018,7 +6018,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6032,7 +6032,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -6043,7 +6043,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6052,7 +6052,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -6065,7 +6065,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 276, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6074,7 +6074,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -6083,7 +6083,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -6092,7 +6092,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6102,7 +6102,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -6111,7 +6111,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -6120,7 +6120,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -6132,7 +6132,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -6141,7 +6141,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -6151,7 +6151,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6161,7 +6161,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -6171,7 +6171,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -6182,7 +6182,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -6191,7 +6191,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -6200,7 +6200,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -6209,7 +6209,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -6218,7 +6218,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -6231,7 +6231,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -6244,7 +6244,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -6254,7 +6254,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -6264,7 +6264,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6284,7 +6284,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -6301,7 +6301,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6310,7 +6310,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -6323,7 +6323,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6332,7 +6332,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -6345,7 +6345,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -6356,7 +6356,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -6367,7 +6367,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -6378,7 +6378,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -6389,7 +6389,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -6400,7 +6400,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -6411,7 +6411,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -6422,7 +6422,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -6433,7 +6433,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -6444,7 +6444,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -6455,7 +6455,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -6466,7 +6466,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -6477,7 +6477,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -6488,7 +6488,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -6499,7 +6499,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -6510,7 +6510,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -6521,7 +6521,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -6542,7 +6542,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -6551,7 +6551,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -6561,7 +6561,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -6570,7 +6570,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -6580,7 +6580,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -6589,7 +6589,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -6598,7 +6598,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -6608,7 +6608,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -6618,7 +6618,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -6650,7 +6650,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -6674,7 +6674,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -6684,7 +6684,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -6693,7 +6693,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -6702,7 +6702,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6712,7 +6712,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -6721,7 +6721,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6730,7 +6730,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -6742,7 +6742,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -6756,7 +6756,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":822 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":822 * * cdef inline object PyArray_MultiIterNew1(a): * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< @@ -6770,7 +6770,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ __pyx_t_1 = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -6789,7 +6789,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 * return PyArray_MultiIterNew(1, a) * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< @@ -6803,7 +6803,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__ PyObject *__pyx_t_1 = NULL; 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goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -7022,7 +7022,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 * return d.subarray.shape * else: * return () # <<<<<<<<<<<<<< @@ -7036,7 +7036,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ goto __pyx_L0; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -7051,7 +7051,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -7080,7 +7080,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -7089,7 +7089,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -7098,7 +7098,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -7121,7 +7121,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -7138,7 +7138,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -7173,7 +7173,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -7190,7 +7190,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -7203,7 +7203,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 856, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -7212,7 +7212,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7232,7 +7232,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L8_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -7249,7 +7249,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = __pyx_t_7; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7258,7 +7258,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -7271,7 +7271,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7280,7 +7280,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -7296,7 +7296,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -7305,7 +7305,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -7314,7 +7314,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -7325,7 +7325,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -7335,7 +7335,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -7345,7 +7345,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -7357,7 +7357,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -7367,7 +7367,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -7380,7 +7380,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -7389,7 +7389,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -7407,7 +7407,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -7425,7 +7425,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -7443,7 +7443,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -7461,7 +7461,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -7479,7 +7479,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -7497,7 +7497,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -7515,7 +7515,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -7533,7 +7533,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -7551,7 +7551,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -7569,7 +7569,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -7587,7 +7587,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -7605,7 +7605,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -7623,7 +7623,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -7643,7 +7643,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -7663,7 +7663,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -7683,7 +7683,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -7701,7 +7701,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -7720,7 +7720,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -7729,7 +7729,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -7739,7 +7739,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -7752,7 +7752,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -7762,7 +7762,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -7772,7 +7772,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -7797,7 +7797,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -7809,7 +7809,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -7818,7 +7818,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -7827,7 +7827,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -7839,7 +7839,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -7854,7 +7854,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -7863,7 +7863,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -7873,7 +7873,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -7884,7 +7884,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -7893,7 +7893,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -7905,7 +7905,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -7920,7 +7920,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -7941,7 +7941,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -7957,7 +7957,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -7966,7 +7966,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -7980,7 +7980,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -7995,7 +7995,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -8011,7 +8011,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -8026,7 +8026,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -8049,7 +8049,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -8070,7 +8070,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8086,7 +8086,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -8095,7 +8095,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8109,7 +8109,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -8124,7 +8124,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -8140,7 +8140,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8155,7 +8155,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -8178,7 +8178,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -8199,7 +8199,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; 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__Pyx_GIVEREF(__pyx_tuple__3); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -8488,7 +8488,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__4); __Pyx_GIVEREF(__pyx_tuple__4); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -8499,7 +8499,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__5); __Pyx_GIVEREF(__pyx_tuple__5); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -8510,7 +8510,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__6); __Pyx_GIVEREF(__pyx_tuple__6); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -9116,7 +9116,7 @@ if (!__Pyx_RefNanny) { if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) __PYX_ERR(0, 1, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -10589,7 +10589,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -10744,7 +10744,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); diff --git a/gensim/models/doc2vec_inner.c b/gensim/models/doc2vec_inner.c index 4f72058e4f..f273456a65 100644 --- a/gensim/models/doc2vec_inner.c +++ b/gensim/models/doc2vec_inner.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -398,7 +398,7 @@ typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -421,7 +421,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -859,7 +859,7 @@ static const char *__pyx_f[] = { #endif -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -868,7 +868,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -877,7 +877,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -886,7 +886,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -895,7 +895,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -904,7 +904,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -913,7 +913,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -922,7 +922,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -931,7 +931,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -940,7 +940,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -949,7 +949,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -958,7 +958,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -967,7 +967,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -976,7 +976,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -985,7 +985,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -994,7 +994,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -1003,7 +1003,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1012,7 +1012,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1021,7 +1021,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1030,7 +1030,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1039,7 +1039,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1083,7 +1083,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do /*--- Type declarations ---*/ -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1092,7 +1092,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1101,7 +1101,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1110,7 +1110,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -7838,7 +7838,7 @@ static PyObject *__pyx_pf_6gensim_6models_13doc2vec_inner_4train_document_dm_con return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -7887,7 +7887,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -7896,7 +7896,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -7905,7 +7905,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -7914,7 +7914,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7928,7 +7928,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -7939,7 +7939,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7948,7 +7948,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -7961,7 +7961,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 272, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7970,7 +7970,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7984,7 +7984,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -7995,7 +7995,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8004,7 +8004,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -8017,7 +8017,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 276, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8026,7 +8026,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -8035,7 +8035,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -8044,7 +8044,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8054,7 +8054,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -8063,7 +8063,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -8072,7 +8072,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -8084,7 +8084,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -8093,7 +8093,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -8103,7 +8103,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8113,7 +8113,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -8123,7 +8123,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -8134,7 +8134,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -8143,7 +8143,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -8152,7 +8152,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -8161,7 +8161,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -8170,7 +8170,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -8183,7 +8183,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -8196,7 +8196,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -8206,7 +8206,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -8216,7 +8216,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8236,7 +8236,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -8253,7 +8253,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8262,7 +8262,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -8275,7 +8275,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8284,7 +8284,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -8297,7 +8297,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -8308,7 +8308,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -8319,7 +8319,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -8330,7 +8330,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -8341,7 +8341,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -8352,7 +8352,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -8363,7 +8363,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -8374,7 +8374,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -8385,7 +8385,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -8396,7 +8396,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -8407,7 +8407,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -8418,7 +8418,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -8429,7 +8429,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -8440,7 +8440,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -8451,7 +8451,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -8462,7 +8462,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -8473,7 +8473,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -8494,7 +8494,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -8503,7 +8503,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -8513,7 +8513,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -8522,7 +8522,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -8532,7 +8532,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -8541,7 +8541,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -8550,7 +8550,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -8560,7 +8560,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -8570,7 +8570,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -8602,7 +8602,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -8626,7 +8626,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -8636,7 +8636,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -8645,7 +8645,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -8654,7 +8654,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8664,7 +8664,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -8673,7 +8673,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8682,7 +8682,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -8694,7 +8694,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -8708,7 +8708,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":822 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":822 * * cdef inline object PyArray_MultiIterNew1(a): * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< @@ -8722,7 +8722,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ __pyx_t_1 = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -8741,7 +8741,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 * return PyArray_MultiIterNew(1, a) * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< @@ -8755,7 +8755,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__ PyObject *__pyx_t_1 = NULL; 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goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -8974,7 +8974,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 * return d.subarray.shape * else: * return () # <<<<<<<<<<<<<< @@ -8988,7 +8988,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ goto __pyx_L0; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -9003,7 +9003,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -9032,7 +9032,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -9041,7 +9041,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -9050,7 +9050,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -9073,7 +9073,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -9090,7 +9090,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -9125,7 +9125,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -9142,7 +9142,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -9155,7 +9155,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); 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__pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -9210,7 +9210,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -9223,7 +9223,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -9232,7 +9232,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -9248,7 +9248,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -9257,7 +9257,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -9266,7 +9266,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -9277,7 +9277,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -9287,7 +9287,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -9297,7 +9297,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -9309,7 +9309,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -9319,7 +9319,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -9332,7 +9332,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -9341,7 +9341,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -9359,7 +9359,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -9377,7 +9377,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -9395,7 +9395,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -9413,7 +9413,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -9431,7 +9431,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -9449,7 +9449,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -9467,7 +9467,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -9485,7 +9485,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -9503,7 +9503,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -9521,7 +9521,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -9539,7 +9539,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -9557,7 +9557,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -9575,7 +9575,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -9595,7 +9595,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -9615,7 +9615,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -9635,7 +9635,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -9653,7 +9653,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -9672,7 +9672,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -9681,7 +9681,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -9691,7 +9691,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -9704,7 +9704,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -9714,7 +9714,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -9724,7 +9724,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -9749,7 +9749,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -9761,7 +9761,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -9770,7 +9770,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -9779,7 +9779,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -9791,7 +9791,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -9806,7 +9806,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -9815,7 +9815,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -9825,7 +9825,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -9836,7 +9836,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -9845,7 +9845,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -9857,7 +9857,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -9872,7 +9872,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -9893,7 +9893,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -9909,7 +9909,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -9918,7 +9918,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -9932,7 +9932,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -9947,7 +9947,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -9963,7 +9963,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -9978,7 +9978,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -10001,7 +10001,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -10022,7 +10022,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -10038,7 +10038,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -10047,7 +10047,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -10061,7 +10061,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -10076,7 +10076,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -10092,7 +10092,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -10107,7 +10107,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -10130,7 +10130,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -10151,7 +10151,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; 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- /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -10483,7 +10483,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__8); __Pyx_GIVEREF(__pyx_tuple__8); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -10969,8 +10969,8 @@ if (!__Pyx_RefNanny) { __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; goto __pyx_L7_try_end; __pyx_L2_error:; - __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0; + __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; /* "gensim/models/doc2vec_inner.pyx":23 * try: @@ -11096,7 +11096,7 @@ if (!__Pyx_RefNanny) { if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) __PYX_ERR(0, 1, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -12754,7 +12754,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned P theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -12909,7 +12909,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned P theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); diff --git a/gensim/models/fasttext_corpusfile.cpp b/gensim/models/fasttext_corpusfile.cpp index 1b34620bca..6a92571f95 100644 --- a/gensim/models/fasttext_corpusfile.cpp +++ b/gensim/models/fasttext_corpusfile.cpp @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -412,7 +412,7 @@ class __Pyx_FakeReference { typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -435,7 +435,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -883,7 +883,7 @@ static const char *__pyx_f[] = { #endif -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -892,7 +892,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -901,7 +901,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -910,7 +910,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -919,7 +919,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -928,7 +928,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -937,7 +937,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -946,7 +946,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -955,7 +955,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -964,7 +964,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -973,7 +973,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -982,7 +982,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -991,7 +991,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -1000,7 +1000,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -1009,7 +1009,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -1018,7 +1018,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -1027,7 +1027,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1036,7 +1036,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1045,7 +1045,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1054,7 +1054,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1063,7 +1063,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1127,7 +1127,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonLineSentence; struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonVocab; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1136,7 +1136,7 @@ struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonVocab; */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1145,7 +1145,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1154,7 +1154,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -3967,7 +3967,7 @@ static PyObject *__pyx_pf_6gensim_6models_19fasttext_corpusfile_2train_epoch_cbo return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -4016,7 +4016,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -4025,7 +4025,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -4034,7 +4034,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -4043,7 +4043,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -4057,7 +4057,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -4068,7 +4068,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -4077,7 +4077,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -4090,7 +4090,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 272, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -4099,7 +4099,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -4113,7 +4113,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -4124,7 +4124,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -4133,7 +4133,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -4146,7 +4146,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 276, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -4155,7 +4155,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -4164,7 +4164,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -4173,7 +4173,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -4183,7 +4183,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -4192,7 +4192,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -4201,7 +4201,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -4213,7 +4213,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -4222,7 +4222,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -4232,7 +4232,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -4242,7 +4242,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -4252,7 +4252,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -4263,7 +4263,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -4272,7 +4272,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -4281,7 +4281,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -4290,7 +4290,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -4299,7 +4299,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -4312,7 +4312,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -4325,7 +4325,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -4335,7 +4335,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -4345,7 +4345,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -4365,7 +4365,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -4382,7 +4382,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -4391,7 +4391,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -4404,7 +4404,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -4413,7 +4413,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -4426,7 +4426,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -4437,7 +4437,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -4448,7 +4448,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -4459,7 +4459,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -4470,7 +4470,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -4481,7 +4481,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -4492,7 +4492,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -4503,7 +4503,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -4514,7 +4514,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -4525,7 +4525,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -4536,7 +4536,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -4547,7 +4547,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -4558,7 +4558,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -4569,7 +4569,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -4580,7 +4580,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -4591,7 +4591,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -4602,7 +4602,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -4623,7 +4623,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -4632,7 +4632,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -4642,7 +4642,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -4651,7 +4651,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -4661,7 +4661,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -4670,7 +4670,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -4679,7 +4679,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -4689,7 +4689,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -4699,7 +4699,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -4731,7 +4731,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -4755,7 +4755,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -4765,7 +4765,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -4774,7 +4774,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -4783,7 +4783,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -4793,7 +4793,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -4802,7 +4802,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -4811,7 +4811,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -4823,7 +4823,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -4837,7 +4837,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":822 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":822 * * cdef inline object PyArray_MultiIterNew1(a): * return PyArray_MultiIterNew(1, a) # <<<<<<<<<<<<<< @@ -4851,7 +4851,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ __pyx_t_1 = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -4870,7 +4870,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":824 * return PyArray_MultiIterNew(1, a) * * cdef inline object PyArray_MultiIterNew2(a, b): # <<<<<<<<<<<<<< @@ -4884,7 +4884,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__ PyObject *__pyx_t_1 = NULL; 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goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -5103,7 +5103,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 * return d.subarray.shape * else: * return () # <<<<<<<<<<<<<< @@ -5117,7 +5117,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ goto __pyx_L0; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -5132,7 +5132,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -5161,7 +5161,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -5170,7 +5170,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -5179,7 +5179,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -5202,7 +5202,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -5219,7 +5219,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -5254,7 +5254,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -5271,7 +5271,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -5284,7 +5284,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); 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__pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -5339,7 +5339,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -5352,7 +5352,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -5361,7 +5361,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -5377,7 +5377,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -5386,7 +5386,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -5395,7 +5395,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -5406,7 +5406,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -5416,7 +5416,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -5426,7 +5426,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -5438,7 +5438,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -5448,7 +5448,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -5461,7 +5461,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -5470,7 +5470,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -5488,7 +5488,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -5506,7 +5506,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -5524,7 +5524,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -5542,7 +5542,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -5560,7 +5560,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -5578,7 +5578,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -5596,7 +5596,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -5614,7 +5614,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -5632,7 +5632,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -5650,7 +5650,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -5668,7 +5668,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -5686,7 +5686,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -5704,7 +5704,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -5724,7 +5724,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -5744,7 +5744,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -5764,7 +5764,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -5782,7 +5782,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -5801,7 +5801,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -5810,7 +5810,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -5820,7 +5820,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -5833,7 +5833,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -5843,7 +5843,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -5853,7 +5853,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -5878,7 +5878,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -5890,7 +5890,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -5899,7 +5899,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -5908,7 +5908,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -5920,7 +5920,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -5935,7 +5935,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -5944,7 +5944,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -5954,7 +5954,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -5965,7 +5965,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -5974,7 +5974,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -5986,7 +5986,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -6001,7 +6001,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -6022,7 +6022,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -6038,7 +6038,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -6047,7 +6047,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -6061,7 +6061,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -6076,7 +6076,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -6092,7 +6092,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -6107,7 +6107,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -6130,7 +6130,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -6151,7 +6151,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -6167,7 +6167,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -6176,7 +6176,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -6190,7 +6190,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -6205,7 +6205,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -6221,7 +6221,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -6236,7 +6236,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -6259,7 +6259,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -6280,7 +6280,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; 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} - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -6507,7 +6507,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -6518,7 +6518,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple_); 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__Pyx_GIVEREF(__pyx_tuple__3); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -6551,7 +6551,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__4); __Pyx_GIVEREF(__pyx_tuple__4); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -6562,7 +6562,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__5); __Pyx_GIVEREF(__pyx_tuple__5); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -6573,7 +6573,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__6); __Pyx_GIVEREF(__pyx_tuple__6); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -7014,7 +7014,7 @@ if (!__Pyx_RefNanny) { if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_1) < 0) __PYX_ERR(0, 1, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -8438,7 +8438,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -8593,7 +8593,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); diff --git a/gensim/models/fasttext_inner.c b/gensim/models/fasttext_inner.c index 7f533cd546..36ab7f97b7 100644 --- a/gensim/models/fasttext_inner.c +++ b/gensim/models/fasttext_inner.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -398,7 +398,7 @@ typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -421,7 +421,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -860,7 +860,7 @@ static const char *__pyx_f[] = { #endif -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -869,7 +869,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -878,7 +878,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -887,7 +887,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -896,7 +896,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -905,7 +905,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -914,7 +914,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -923,7 +923,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -932,7 +932,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -941,7 +941,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -950,7 +950,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -959,7 +959,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -968,7 +968,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -977,7 +977,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -986,7 +986,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -995,7 +995,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -1004,7 +1004,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1013,7 +1013,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1022,7 +1022,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1031,7 +1031,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1040,7 +1040,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1084,7 +1084,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do /*--- Type declarations ---*/ -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1093,7 +1093,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1102,7 +1102,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1111,7 +1111,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -6560,7 +6560,7 @@ static PyObject *__pyx_pf_6gensim_6models_14fasttext_inner_4init(CYTHON_UNUSED P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -6609,7 +6609,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -6618,7 +6618,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -6627,7 +6627,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -6636,7 +6636,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6650,7 +6650,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -6661,7 +6661,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6670,7 +6670,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -6683,7 +6683,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 272, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6692,7 +6692,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6706,7 +6706,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -6717,7 +6717,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6726,7 +6726,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -6739,7 +6739,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 276, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -6748,7 +6748,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -6757,7 +6757,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -6766,7 +6766,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6776,7 +6776,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -6785,7 +6785,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -6794,7 +6794,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -6806,7 +6806,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -6815,7 +6815,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -6825,7 +6825,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -6835,7 +6835,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -6845,7 +6845,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -6856,7 +6856,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -6865,7 +6865,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -6874,7 +6874,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -6883,7 +6883,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -6892,7 +6892,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -6905,7 +6905,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -6918,7 +6918,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -6928,7 +6928,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -6938,7 +6938,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6958,7 +6958,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -6975,7 +6975,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -6984,7 +6984,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -6997,7 +6997,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7006,7 +7006,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -7019,7 +7019,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -7030,7 +7030,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -7041,7 +7041,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -7052,7 +7052,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -7063,7 +7063,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -7074,7 +7074,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -7085,7 +7085,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -7096,7 +7096,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -7107,7 +7107,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -7118,7 +7118,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -7129,7 +7129,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -7140,7 +7140,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -7151,7 +7151,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -7162,7 +7162,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -7173,7 +7173,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -7184,7 +7184,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -7195,7 +7195,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -7216,7 +7216,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -7225,7 +7225,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -7235,7 +7235,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -7244,7 +7244,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -7254,7 +7254,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -7263,7 +7263,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -7272,7 +7272,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -7282,7 +7282,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -7292,7 +7292,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -7324,7 +7324,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -7348,7 +7348,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -7358,7 +7358,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -7367,7 +7367,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -7376,7 +7376,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -7386,7 +7386,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -7395,7 +7395,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -7404,7 +7404,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -7416,7 +7416,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -7430,7 +7430,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; 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__Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":828 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":828 * * cdef inline object PyArray_MultiIterNew3(a, b, c): * return PyArray_MultiIterNew(3, a, b, c) # <<<<<<<<<<<<<< @@ -7538,7 +7538,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__ __pyx_t_1 = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":827 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":827 * return PyArray_MultiIterNew(2, a, b) * * cdef inline object PyArray_MultiIterNew3(a, b, c): # <<<<<<<<<<<<<< @@ -7557,7 +7557,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":830 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":830 * return PyArray_MultiIterNew(3, a, b, c) * * cdef inline object PyArray_MultiIterNew4(a, b, c, d): # <<<<<<<<<<<<<< @@ -7571,7 +7571,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__ PyObject *__pyx_t_1 = NULL; 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__Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":834 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":834 * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): * return PyArray_MultiIterNew(5, a, b, c, d, e) # <<<<<<<<<<<<<< @@ -7632,7 +7632,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ __pyx_t_1 = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":833 * return PyArray_MultiIterNew(4, a, b, c, d) * * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): # <<<<<<<<<<<<<< @@ -7651,7 +7651,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -7665,7 +7665,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ int __pyx_t_1; __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -7675,7 +7675,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ __pyx_t_1 = (PyDataType_HASSUBARRAY(__pyx_v_d) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":838 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":838 * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): * return d.subarray.shape # <<<<<<<<<<<<<< @@ -7687,7 +7687,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ __pyx_r = ((PyObject*)__pyx_v_d->subarray->shape); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -7696,7 +7696,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 * return d.subarray.shape * else: * return () # <<<<<<<<<<<<<< @@ -7710,7 +7710,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ goto __pyx_L0; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -7725,7 +7725,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -7754,7 +7754,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -7763,7 +7763,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -7772,7 +7772,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -7795,7 +7795,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -7812,7 +7812,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -7847,7 +7847,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -7864,7 +7864,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -7877,7 +7877,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 856, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -7886,7 +7886,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7906,7 +7906,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L8_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -7923,7 +7923,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = __pyx_t_7; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7932,7 +7932,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -7945,7 +7945,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7954,7 +7954,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -7970,7 +7970,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -7979,7 +7979,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -7988,7 +7988,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -7999,7 +7999,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -8009,7 +8009,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -8019,7 +8019,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -8031,7 +8031,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -8041,7 +8041,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -8054,7 +8054,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -8063,7 +8063,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -8081,7 +8081,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -8099,7 +8099,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -8117,7 +8117,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -8135,7 +8135,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -8153,7 +8153,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -8171,7 +8171,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -8189,7 +8189,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -8207,7 +8207,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -8225,7 +8225,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -8243,7 +8243,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -8261,7 +8261,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -8279,7 +8279,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -8297,7 +8297,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -8317,7 +8317,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -8337,7 +8337,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -8357,7 +8357,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -8375,7 +8375,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -8394,7 +8394,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -8403,7 +8403,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -8413,7 +8413,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -8426,7 +8426,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -8436,7 +8436,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -8446,7 +8446,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -8471,7 +8471,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -8483,7 +8483,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -8492,7 +8492,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -8501,7 +8501,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -8513,7 +8513,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -8528,7 +8528,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -8537,7 +8537,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -8547,7 +8547,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -8558,7 +8558,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -8567,7 +8567,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -8579,7 +8579,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -8594,7 +8594,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -8615,7 +8615,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -8631,7 +8631,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -8640,7 +8640,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -8654,7 +8654,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -8669,7 +8669,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -8685,7 +8685,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -8700,7 +8700,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -8723,7 +8723,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -8744,7 +8744,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8760,7 +8760,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -8769,7 +8769,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8783,7 +8783,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -8798,7 +8798,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -8814,7 +8814,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -8829,7 +8829,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -8852,7 +8852,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -8873,7 +8873,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_ufunc", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -8889,7 +8889,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1048 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1048 * cdef inline int import_ufunc() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -8898,7 +8898,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1048, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -8912,7 +8912,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -8926,7 +8926,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -8940,7 +8940,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -8955,7 +8955,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -9135,7 +9135,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple_); __Pyx_GIVEREF(__pyx_tuple_); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -9146,7 +9146,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__2); __Pyx_GIVEREF(__pyx_tuple__2); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -9157,7 +9157,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__3); __Pyx_GIVEREF(__pyx_tuple__3); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -9168,7 +9168,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__4); __Pyx_GIVEREF(__pyx_tuple__4); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -9179,7 +9179,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__5); __Pyx_GIVEREF(__pyx_tuple__5); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -9190,7 +9190,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__6); __Pyx_GIVEREF(__pyx_tuple__6); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -9201,7 +9201,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__7); __Pyx_GIVEREF(__pyx_tuple__7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -9827,7 +9827,7 @@ if (!__Pyx_RefNanny) { if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) __PYX_ERR(0, 1, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -11538,7 +11538,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned P theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -11693,7 +11693,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned P theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); diff --git a/gensim/models/nmf_pgd.c b/gensim/models/nmf_pgd.c index 6ae13d947a..2a1aa2ac3e 100644 --- a/gensim/models/nmf_pgd.c +++ b/gensim/models/nmf_pgd.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.28.6 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,7 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_28_6" +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -78,6 +79,10 @@ #define CYTHON_PEP489_MULTI_PHASE_INIT 0 #undef CYTHON_USE_TP_FINALIZE #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 #elif defined(PYSTON_VERSION) #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_PYSTON 1 @@ -115,6 +120,10 @@ #define CYTHON_PEP489_MULTI_PHASE_INIT 0 #undef CYTHON_USE_TP_FINALIZE #define CYTHON_USE_TP_FINALIZE 0 + #undef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS 0 + #undef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK 0 #else #define CYTHON_COMPILING_IN_PYPY 0 #define CYTHON_COMPILING_IN_PYSTON 0 @@ -168,11 +177,17 @@ #define CYTHON_FAST_PYCALL 1 #endif #ifndef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT (0 && PY_VERSION_HEX >= 0x03050000) + #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000) #endif #ifndef CYTHON_USE_TP_FINALIZE #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1) #endif + #ifndef CYTHON_USE_DICT_VERSIONS + #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1) + #endif + #ifndef CYTHON_USE_EXC_INFO_STACK + #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3) + #endif #endif #if !defined(CYTHON_FAST_PYCCALL) #define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) @@ -183,7 +198,7 @@ #undef BASE #undef MASK #ifdef SIZEOF_VOID_P - enum { __pyx_check_sizeof_voidp = 1/(SIZEOF_VOID_P == sizeof(void*)) }; + enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; #endif #endif #ifndef __has_attribute @@ -311,6 +326,9 @@ #ifndef Py_TPFLAGS_HAVE_FINALIZE #define Py_TPFLAGS_HAVE_FINALIZE 0 #endif +#ifndef METH_STACKLESS + #define METH_STACKLESS 0 +#endif #if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL) #ifndef METH_FASTCALL #define METH_FASTCALL 0x80 @@ -324,15 +342,40 @@ #endif #if CYTHON_FAST_PYCCALL #define __Pyx_PyFastCFunction_Check(func)\ - ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS))))) + ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))))) #else #define __Pyx_PyFastCFunction_Check(func) 0 #endif +#if CYTHON_USE_DICT_VERSIONS +#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ + (version_var) = __PYX_GET_DICT_VERSION(dict);\ + (cache_var) = (value); +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ + (VAR) = __pyx_dict_cached_value;\ + } else {\ + (VAR) = __pyx_dict_cached_value = (LOOKUP);\ + __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ + }\ + } +#else +#define __PYX_GET_DICT_VERSION(dict) (0) +#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) +#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); +#endif #if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc) #define PyObject_Malloc(s) PyMem_Malloc(s) #define PyObject_Free(p) PyMem_Free(p) #define PyObject_Realloc(p) PyMem_Realloc(p) #endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1 + #define PyMem_RawMalloc(n) PyMem_Malloc(n) + #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n) + #define PyMem_RawFree(p) PyMem_Free(p) +#endif #if CYTHON_COMPILING_IN_PYSTON #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co) #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno) @@ -355,7 +398,7 @@ typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -378,7 +421,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -440,8 +483,8 @@ static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { #if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format) #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt) #endif -#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) -#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) +#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b)) +#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b)) #if PY_MAJOR_VERSION >= 3 #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b) #else @@ -599,6 +642,9 @@ typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* enc (sizeof(type) == sizeof(Py_ssize_t) &&\ (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ v == (type)PY_SSIZE_T_MAX))) ) +static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) { + return (size_t) i < (size_t) limit; +} #if defined (__cplusplus) && __cplusplus >= 201103L #include #define __Pyx_sst_abs(value) std::abs(value) @@ -657,6 +703,7 @@ static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { #define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b); static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*); static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); #define __Pyx_PySequence_Tuple(obj)\ (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) @@ -737,7 +784,7 @@ static int __Pyx_init_sys_getdefaultencoding_params(void) { if (!default_encoding) goto bad; default_encoding_c = PyBytes_AsString(default_encoding); if (!default_encoding_c) goto bad; - __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c)); + __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1); if (!__PYX_DEFAULT_STRING_ENCODING) goto bad; strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c); Py_DECREF(default_encoding); @@ -774,7 +821,7 @@ static const char *__pyx_filename; static const char *__pyx_f[] = { - "nmf_pgd.pyx", + "gensim/models/nmf_pgd.pyx", "stringsource", }; /* NoFastGil.proto */ @@ -892,7 +939,7 @@ struct __pyx_MemviewEnum_obj; struct __pyx_memoryview_obj; struct __pyx_memoryviewslice_obj; -/* "View.MemoryView":104 +/* "View.MemoryView":105 * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< @@ -917,7 +964,7 @@ struct __pyx_array_obj { }; -/* "View.MemoryView":278 +/* "View.MemoryView":279 * * @cname('__pyx_MemviewEnum') * cdef class Enum(object): # <<<<<<<<<<<<<< @@ -930,7 +977,7 @@ struct __pyx_MemviewEnum_obj { }; -/* "View.MemoryView":329 +/* "View.MemoryView":330 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< @@ -953,7 +1000,7 @@ struct __pyx_memoryview_obj { }; -/* "View.MemoryView":960 +/* "View.MemoryView":961 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< @@ -970,7 +1017,7 @@ struct __pyx_memoryviewslice_obj { -/* "View.MemoryView":104 +/* "View.MemoryView":105 * * @cname("__pyx_array") * cdef class array: # <<<<<<<<<<<<<< @@ -984,7 +1031,7 @@ struct __pyx_vtabstruct_array { static struct __pyx_vtabstruct_array *__pyx_vtabptr_array; -/* "View.MemoryView":329 +/* "View.MemoryView":330 * * @cname('__pyx_memoryview') * cdef class memoryview(object): # <<<<<<<<<<<<<< @@ -1004,7 +1051,7 @@ struct __pyx_vtabstruct_memoryview { static struct __pyx_vtabstruct_memoryview *__pyx_vtabptr_memoryview; -/* "View.MemoryView":960 +/* "View.MemoryView":961 * * @cname('__pyx_memoryviewslice') * cdef class _memoryviewslice(memoryview): # <<<<<<<<<<<<<< @@ -1197,8 +1244,23 @@ static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, #else #define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs) #endif +#define __Pyx_BUILD_ASSERT_EXPR(cond)\ + (sizeof(char [1 - 2*!(cond)]) - 1) +#ifndef Py_MEMBER_SIZE +#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member) +#endif + static size_t __pyx_pyframe_localsplus_offset = 0; + #include "frameobject.h" + #define __Pxy_PyFrame_Initialize_Offsets()\ + ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\ + (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus))) + #define __Pyx_PyFrame_GetLocalsplus(frame)\ + (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset)) #endif +/* PyObjectCall2Args.proto */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); + /* PyObjectCallMethO.proto */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); @@ -1293,7 +1355,25 @@ static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tsta static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *); /* GetModuleGlobalName.proto */ -static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name); +#if CYTHON_USE_DICT_VERSIONS +#define __Pyx_GetModuleGlobalName(var, name) {\ + static PY_UINT64_T __pyx_dict_version = 0;\ + static PyObject *__pyx_dict_cached_value = NULL;\ + (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\ + (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ + __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +#define __Pyx_GetModuleGlobalNameUncached(var, name) {\ + PY_UINT64_T __pyx_dict_version;\ + PyObject *__pyx_dict_cached_value;\ + (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ +} +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); +#else +#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) +#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); +#endif /* RaiseTooManyValuesToUnpack.proto */ static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); @@ -1307,6 +1387,11 @@ static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); /* ExtTypeTest.proto */ static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type); +/* GetTopmostException.proto */ +#if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate); +#endif + /* SaveResetException.proto */ #if CYTHON_FAST_THREAD_STATE #define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb) @@ -1694,7 +1779,6 @@ static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__"; static const char __pyx_k_sample_idx[] = "sample_idx"; static const char __pyx_k_MemoryError[] = "MemoryError"; static const char __pyx_k_PickleError[] = "PickleError"; -static const char __pyx_k_nmf_pgd_pyx[] = "nmf_pgd.pyx"; static const char __pyx_k_permutation[] = "permutation"; static const char __pyx_k_n_components[] = "n_components"; static const char __pyx_k_pyx_checksum[] = "__pyx_checksum"; @@ -1720,6 +1804,7 @@ static const char __pyx_k_MemoryView_of_r_at_0x_x[] = " 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(1, 121, __pyx_L3_error) + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(1, 122, __pyx_L3_error) } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { @@ -2514,14 +2596,14 @@ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, P } } __pyx_v_shape = ((PyObject*)values[0]); - __pyx_v_itemsize = __Pyx_PyIndex_AsSsize_t(values[1]); if (unlikely((__pyx_v_itemsize == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 121, __pyx_L3_error) + __pyx_v_itemsize = __Pyx_PyIndex_AsSsize_t(values[1]); if (unlikely((__pyx_v_itemsize == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 122, __pyx_L3_error) __pyx_v_format = values[2]; __pyx_v_mode = values[3]; if (values[4]) { - __pyx_v_allocate_buffer = __Pyx_PyObject_IsTrue(values[4]); if (unlikely((__pyx_v_allocate_buffer == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 122, __pyx_L3_error) + __pyx_v_allocate_buffer = __Pyx_PyObject_IsTrue(values[4]); if (unlikely((__pyx_v_allocate_buffer == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 123, __pyx_L3_error) } else { - /* "View.MemoryView":122 + /* "View.MemoryView":123 * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, * mode="c", bint allocate_buffer=True): # <<<<<<<<<<<<<< @@ -2533,19 +2615,19 @@ static int __pyx_array___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_args, P } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(1, 121, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); 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int __pyx_t_4; PyObject *__pyx_t_5 = NULL; - char *__pyx_t_6; - int __pyx_t_7; - Py_ssize_t __pyx_t_8; - PyObject *__pyx_t_9 = NULL; + PyObject *__pyx_t_6 = NULL; + char *__pyx_t_7; + int __pyx_t_8; + Py_ssize_t __pyx_t_9; PyObject *__pyx_t_10 = NULL; Py_ssize_t __pyx_t_11; __Pyx_RefNannySetupContext("__cinit__", 0); __Pyx_INCREF(__pyx_v_format); - /* "View.MemoryView":128 + /* "View.MemoryView":129 * cdef PyObject **p * * self.ndim = len(shape) # <<<<<<<<<<<<<< @@ -2593,12 +2675,12 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ if (unlikely(__pyx_v_shape == Py_None)) { PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()"); - __PYX_ERR(1, 128, __pyx_L1_error) + __PYX_ERR(1, 129, __pyx_L1_error) } - __pyx_t_1 = PyTuple_GET_SIZE(__pyx_v_shape); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(1, 128, __pyx_L1_error) + __pyx_t_1 = PyTuple_GET_SIZE(__pyx_v_shape); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(1, 129, __pyx_L1_error) __pyx_v_self->ndim = ((int)__pyx_t_1); 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if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 163, __pyx_L1_error) - __Pyx_GOTREF(__pyx_t_5); - __pyx_t_10 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_5); if (unlikely(!__pyx_t_10)) __PYX_ERR(1, 163, __pyx_L1_error) + __pyx_t_3 = __Pyx_PyString_FormatSafe(__pyx_kp_s_Invalid_mode_expected_c_or_fortr, __pyx_v_mode); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 164, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_3); + __pyx_t_10 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_10)) __PYX_ERR(1, 164, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_10); - __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; + __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; - __PYX_ERR(1, 163, __pyx_L1_error) + __PYX_ERR(1, 164, __pyx_L1_error) } __pyx_L10:; - /* "View.MemoryView":165 + /* "View.MemoryView":166 * raise ValueError("Invalid mode, expected 'c' or 'fortran', got %s" % mode) * * self.len = fill_contig_strides_array(self._shape, self._strides, # <<<<<<<<<<<<<< @@ -2988,7 +3082,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ __pyx_v_self->len = __pyx_fill_contig_strides_array(__pyx_v_self->_shape, __pyx_v_self->_strides, __pyx_v_itemsize, __pyx_v_self->ndim, __pyx_v_order); - /* "View.MemoryView":168 + /* "View.MemoryView":169 * itemsize, self.ndim, order) * * self.free_data = allocate_buffer # <<<<<<<<<<<<<< @@ -2997,19 +3091,19 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ __pyx_v_self->free_data = __pyx_v_allocate_buffer; - /* "View.MemoryView":169 + /* "View.MemoryView":170 * * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' # <<<<<<<<<<<<<< * if allocate_buffer: * */ - __pyx_t_10 = PyObject_RichCompare(__pyx_v_format, __pyx_n_b_O, Py_EQ); __Pyx_XGOTREF(__pyx_t_10); if (unlikely(!__pyx_t_10)) __PYX_ERR(1, 169, __pyx_L1_error) - __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 169, __pyx_L1_error) + __pyx_t_10 = PyObject_RichCompare(__pyx_v_format, __pyx_n_b_O, Py_EQ); __Pyx_XGOTREF(__pyx_t_10); if (unlikely(!__pyx_t_10)) __PYX_ERR(1, 170, __pyx_L1_error) + __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_10); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 170, __pyx_L1_error) __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; __pyx_v_self->dtype_is_object = __pyx_t_4; - /* "View.MemoryView":170 + /* "View.MemoryView":171 * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' * if allocate_buffer: # <<<<<<<<<<<<<< @@ -3019,7 +3113,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_t_4 = (__pyx_v_allocate_buffer != 0); if (__pyx_t_4) { - /* "View.MemoryView":173 + /* "View.MemoryView":174 * * * self.data = malloc(self.len) # <<<<<<<<<<<<<< @@ -3028,7 +3122,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ __pyx_v_self->data = ((char *)malloc(__pyx_v_self->len)); - /* "View.MemoryView":174 + /* "View.MemoryView":175 * * self.data = malloc(self.len) * if not self.data: # <<<<<<<<<<<<<< @@ -3038,20 +3132,20 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_t_4 = ((!(__pyx_v_self->data != 0)) != 0); if (unlikely(__pyx_t_4)) { - /* "View.MemoryView":175 + /* "View.MemoryView":176 * self.data = malloc(self.len) * if not self.data: * raise MemoryError("unable to allocate array data.") # <<<<<<<<<<<<<< * * if self.dtype_is_object: */ - __pyx_t_10 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(1, 175, __pyx_L1_error) + __pyx_t_10 = __Pyx_PyObject_Call(__pyx_builtin_MemoryError, __pyx_tuple__4, NULL); if (unlikely(!__pyx_t_10)) __PYX_ERR(1, 176, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_10); __Pyx_Raise(__pyx_t_10, 0, 0, 0); __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0; - __PYX_ERR(1, 175, __pyx_L1_error) + __PYX_ERR(1, 176, __pyx_L1_error) - /* "View.MemoryView":174 + /* "View.MemoryView":175 * * self.data = malloc(self.len) * if not self.data: # <<<<<<<<<<<<<< @@ -3060,7 +3154,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ } - /* "View.MemoryView":177 + /* "View.MemoryView":178 * raise MemoryError("unable to allocate array data.") * * if self.dtype_is_object: # <<<<<<<<<<<<<< @@ -3070,7 +3164,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_t_4 = (__pyx_v_self->dtype_is_object != 0); if (__pyx_t_4) { - /* "View.MemoryView":178 + /* "View.MemoryView":179 * * if self.dtype_is_object: * p = self.data # <<<<<<<<<<<<<< @@ -3079,7 +3173,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ __pyx_v_p = ((PyObject **)__pyx_v_self->data); - /* "View.MemoryView":179 + /* "View.MemoryView":180 * if self.dtype_is_object: * p = self.data * for i in range(self.len / itemsize): # <<<<<<<<<<<<<< @@ -3088,18 +3182,18 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ if (unlikely(__pyx_v_itemsize == 0)) { PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero"); - __PYX_ERR(1, 179, __pyx_L1_error) + __PYX_ERR(1, 180, __pyx_L1_error) } else if (sizeof(Py_ssize_t) == sizeof(long) && (!(((Py_ssize_t)-1) > 0)) && unlikely(__pyx_v_itemsize == (Py_ssize_t)-1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_self->len))) { PyErr_SetString(PyExc_OverflowError, "value too large to perform division"); - __PYX_ERR(1, 179, __pyx_L1_error) + __PYX_ERR(1, 180, __pyx_L1_error) } __pyx_t_1 = (__pyx_v_self->len / __pyx_v_itemsize); - __pyx_t_8 = __pyx_t_1; - for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_8; __pyx_t_11+=1) { + __pyx_t_9 = __pyx_t_1; + for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_9; __pyx_t_11+=1) { __pyx_v_i = __pyx_t_11; - /* "View.MemoryView":180 + /* "View.MemoryView":181 * p = self.data * for i in range(self.len / itemsize): * p[i] = Py_None # <<<<<<<<<<<<<< @@ -3108,7 +3202,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ (__pyx_v_p[__pyx_v_i]) = Py_None; - /* "View.MemoryView":181 + /* "View.MemoryView":182 * for i in range(self.len / itemsize): * p[i] = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< @@ -3118,7 +3212,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ Py_INCREF(Py_None); } - /* "View.MemoryView":177 + /* "View.MemoryView":178 * raise MemoryError("unable to allocate array data.") * * if self.dtype_is_object: # <<<<<<<<<<<<<< @@ -3127,7 +3221,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ } - /* "View.MemoryView":170 + /* "View.MemoryView":171 * self.free_data = allocate_buffer * self.dtype_is_object = format == b'O' * if allocate_buffer: # <<<<<<<<<<<<<< @@ -3136,7 +3230,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ */ } - /* "View.MemoryView":121 + /* "View.MemoryView":122 * cdef bint dtype_is_object * * def __cinit__(array self, tuple shape, Py_ssize_t itemsize, format not None, # <<<<<<<<<<<<<< @@ -3150,7 +3244,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_XDECREF(__pyx_t_5); - __Pyx_XDECREF(__pyx_t_9); + __Pyx_XDECREF(__pyx_t_6); __Pyx_XDECREF(__pyx_t_10); __Pyx_AddTraceback("View.MemoryView.array.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = -1; @@ -3160,7 +3254,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __ return __pyx_r; } -/* "View.MemoryView":184 +/* "View.MemoryView":185 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< @@ -3200,7 +3294,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "View.MemoryView":185 + /* "View.MemoryView":186 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 # <<<<<<<<<<<<<< @@ -3209,18 +3303,18 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru */ __pyx_v_bufmode = -1; - /* "View.MemoryView":186 + /* "View.MemoryView":187 * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 * if self.mode == u"c": # <<<<<<<<<<<<<< * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == u"fortran": */ - __pyx_t_1 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_c, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(1, 186, __pyx_L1_error) + __pyx_t_1 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_c, Py_EQ)); if (unlikely(__pyx_t_1 < 0)) __PYX_ERR(1, 187, __pyx_L1_error) __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { - /* "View.MemoryView":187 + /* "View.MemoryView":188 * cdef int bufmode = -1 * if self.mode == u"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< @@ -3229,7 +3323,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru */ __pyx_v_bufmode = (PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); - /* "View.MemoryView":186 + /* "View.MemoryView":187 * def __getbuffer__(self, Py_buffer *info, int flags): * cdef int bufmode = -1 * if self.mode == u"c": # <<<<<<<<<<<<<< @@ -3239,18 +3333,18 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru goto __pyx_L3; } - /* "View.MemoryView":188 + /* "View.MemoryView":189 * if self.mode == u"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == u"fortran": # <<<<<<<<<<<<<< * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): */ - __pyx_t_2 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_fortran, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(1, 188, __pyx_L1_error) + __pyx_t_2 = (__Pyx_PyUnicode_Equals(__pyx_v_self->mode, __pyx_n_u_fortran, Py_EQ)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(1, 189, __pyx_L1_error) __pyx_t_1 = (__pyx_t_2 != 0); if (__pyx_t_1) { - /* "View.MemoryView":189 + /* "View.MemoryView":190 * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == u"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS # <<<<<<<<<<<<<< @@ -3259,7 +3353,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru */ __pyx_v_bufmode = (PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS); - /* "View.MemoryView":188 + /* "View.MemoryView":189 * if self.mode == u"c": * bufmode = PyBUF_C_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * elif self.mode == u"fortran": # <<<<<<<<<<<<<< @@ -3269,7 +3363,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru } __pyx_L3:; - /* "View.MemoryView":190 + /* "View.MemoryView":191 * elif self.mode == u"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): # <<<<<<<<<<<<<< @@ -3279,20 +3373,20 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_1 = ((!((__pyx_v_flags & __pyx_v_bufmode) != 0)) != 0); if (unlikely(__pyx_t_1)) { - /* "View.MemoryView":191 + /* "View.MemoryView":192 * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") # <<<<<<<<<<<<<< * info.buf = self.data * info.len = self.len */ - __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 191, __pyx_L1_error) + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__5, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 192, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - __PYX_ERR(1, 191, __pyx_L1_error) + __PYX_ERR(1, 192, __pyx_L1_error) - /* "View.MemoryView":190 + /* "View.MemoryView":191 * elif self.mode == u"fortran": * bufmode = PyBUF_F_CONTIGUOUS | PyBUF_ANY_CONTIGUOUS * if not (flags & bufmode): # <<<<<<<<<<<<<< @@ -3301,7 +3395,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru */ } - /* "View.MemoryView":192 + /* "View.MemoryView":193 * if not (flags & bufmode): * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data # <<<<<<<<<<<<<< @@ -3311,7 +3405,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_4 = __pyx_v_self->data; __pyx_v_info->buf = __pyx_t_4; - /* "View.MemoryView":193 + /* "View.MemoryView":194 * raise ValueError("Can only create a buffer that is contiguous in memory.") * info.buf = self.data * info.len = self.len # <<<<<<<<<<<<<< @@ -3321,7 +3415,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_5 = __pyx_v_self->len; __pyx_v_info->len = __pyx_t_5; - /* "View.MemoryView":194 + /* "View.MemoryView":195 * info.buf = self.data * info.len = self.len * info.ndim = self.ndim # <<<<<<<<<<<<<< @@ -3331,7 +3425,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_6 = __pyx_v_self->ndim; __pyx_v_info->ndim = __pyx_t_6; - /* "View.MemoryView":195 + /* "View.MemoryView":196 * info.len = self.len * info.ndim = self.ndim * info.shape = self._shape # <<<<<<<<<<<<<< @@ -3341,7 +3435,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_7 = __pyx_v_self->_shape; __pyx_v_info->shape = __pyx_t_7; - /* "View.MemoryView":196 + /* "View.MemoryView":197 * info.ndim = self.ndim * info.shape = self._shape * info.strides = self._strides # <<<<<<<<<<<<<< @@ -3351,7 +3445,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __pyx_t_7 = __pyx_v_self->_strides; __pyx_v_info->strides = __pyx_t_7; - /* "View.MemoryView":197 + /* "View.MemoryView":198 * info.shape = self._shape * info.strides = self._strides * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -3360,7 +3454,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru */ __pyx_v_info->suboffsets = NULL; 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__pyx_v_info->format = __pyx_t_4; - /* "View.MemoryView":201 + /* "View.MemoryView":202 * info.readonly = 0 * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< @@ -3409,7 +3503,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru goto __pyx_L5; } - /* "View.MemoryView":204 + /* "View.MemoryView":205 * info.format = self.format * else: * info.format = NULL # <<<<<<<<<<<<<< @@ -3421,7 +3515,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru } __pyx_L5:; - /* "View.MemoryView":206 + /* "View.MemoryView":207 * info.format = NULL * * info.obj = self # <<<<<<<<<<<<<< @@ -3434,7 +3528,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "View.MemoryView":184 + /* "View.MemoryView":185 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< @@ -3464,7 +3558,7 @@ static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(stru return __pyx_r; } -/* "View.MemoryView":210 +/* "View.MemoryView":211 * __pyx_getbuffer = capsule( &__pyx_array_getbuffer, "getbuffer(obj, view, flags)") * * def __dealloc__(array self): # <<<<<<<<<<<<<< @@ -3488,7 +3582,7 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc int __pyx_t_1; __Pyx_RefNannySetupContext("__dealloc__", 0); - /* "View.MemoryView":211 + /* "View.MemoryView":212 * * def __dealloc__(array self): * if self.callback_free_data != NULL: # <<<<<<<<<<<<<< @@ -3498,7 +3592,7 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc __pyx_t_1 = ((__pyx_v_self->callback_free_data != NULL) != 0); if (__pyx_t_1) { - /* "View.MemoryView":212 + /* "View.MemoryView":213 * def __dealloc__(array self): * if self.callback_free_data != NULL: * self.callback_free_data(self.data) # <<<<<<<<<<<<<< @@ -3507,7 +3601,7 @@ static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struc */ __pyx_v_self->callback_free_data(__pyx_v_self->data); 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- PyObject *__pyx_v_state = NULL; - PyObject *__pyx_v__dict = NULL; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; @@ -4425,14 +4519,14 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi PyObject *__pyx_t_5 = NULL; __Pyx_RefNannySetupContext("__reduce_cython__", 0); - /* "(tree fragment)":3 - * def __reduce_cython__(self): + /* "(tree fragment)":5 + * cdef object _dict * cdef bint use_setstate * state = (self.name,) # <<<<<<<<<<<<<< * _dict = getattr(self, '__dict__', None) * if _dict is not None: */ - __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 3, __pyx_L1_error) + __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 5, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(__pyx_v_self->name); __Pyx_GIVEREF(__pyx_v_self->name); @@ -4440,19 +4534,19 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __pyx_v_state = ((PyObject*)__pyx_t_1); __pyx_t_1 = 0; 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if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 11, __pyx_L1_error) + __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 13, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); - __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 11, __pyx_L1_error) + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 13, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); @@ -4544,7 +4638,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __Pyx_INCREF(Py_None); __Pyx_GIVEREF(Py_None); PyTuple_SET_ITEM(__pyx_t_1, 2, Py_None); - __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 11, __pyx_L1_error) + __pyx_t_5 = PyTuple_New(3); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 13, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); @@ -4559,7 +4653,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __pyx_t_5 = 0; goto __pyx_L0; - /* "(tree fragment)":10 + /* "(tree fragment)":12 * else: * use_setstate = self.name is not None * if use_setstate: # <<<<<<<<<<<<<< @@ -4568,7 +4662,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi */ } - /* "(tree fragment)":13 + /* "(tree fragment)":15 * return __pyx_unpickle_Enum, (type(self), 0xb068931, None), state * else: * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) # <<<<<<<<<<<<<< @@ -4577,9 +4671,9 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi */ /*else*/ { __Pyx_XDECREF(__pyx_r); - __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 13, __pyx_L1_error) + __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_pyx_unpickle_Enum); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 15, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); - __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 13, __pyx_L1_error) + __pyx_t_1 = PyTuple_New(3); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 15, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_INCREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); __Pyx_GIVEREF(((PyObject *)Py_TYPE(((PyObject *)__pyx_v_self)))); @@ -4590,7 +4684,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi __Pyx_INCREF(__pyx_v_state); __Pyx_GIVEREF(__pyx_v_state); PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_v_state); - __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 13, __pyx_L1_error) + __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 15, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_5); @@ -4605,8 +4699,8 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi /* "(tree fragment)":1 * def __reduce_cython__(self): # <<<<<<<<<<<<<< - * cdef bint use_setstate - * state = (self.name,) + * cdef tuple state + * cdef object _dict */ /* function exit code */ @@ -4624,7 +4718,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_Memvi return __pyx_r; } -/* "(tree fragment)":14 +/* "(tree fragment)":16 * else: * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< @@ -4650,17 +4744,17 @@ static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_Me PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("__setstate_cython__", 0); - /* "(tree fragment)":15 + /* "(tree fragment)":17 * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) * def __setstate_cython__(self, __pyx_state): * __pyx_unpickle_Enum__set_state(self, __pyx_state) # <<<<<<<<<<<<<< */ - if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(1, 15, __pyx_L1_error) - __pyx_t_1 = __pyx_unpickle_Enum__set_state(__pyx_v_self, ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 15, __pyx_L1_error) + if (!(likely(PyTuple_CheckExact(__pyx_v___pyx_state))||((__pyx_v___pyx_state) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_v___pyx_state)->tp_name), 0))) __PYX_ERR(1, 17, __pyx_L1_error) + __pyx_t_1 = __pyx_unpickle_Enum__set_state(__pyx_v_self, ((PyObject*)__pyx_v___pyx_state)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 17, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "(tree fragment)":14 + /* "(tree fragment)":16 * else: * return __pyx_unpickle_Enum, (type(self), 0xb068931, state) * def __setstate_cython__(self, __pyx_state): # <<<<<<<<<<<<<< @@ -4680,7 +4774,7 @@ static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_Me return __pyx_r; } -/* "View.MemoryView":297 +/* "View.MemoryView":298 * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< @@ -4694,7 +4788,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) void *__pyx_r; int __pyx_t_1; - /* "View.MemoryView":299 + /* "View.MemoryView":300 * cdef void *align_pointer(void *memory, size_t alignment) nogil: * "Align pointer memory on a given boundary" * cdef Py_intptr_t aligned_p = memory # <<<<<<<<<<<<<< @@ -4703,7 +4797,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ __pyx_v_aligned_p = ((Py_intptr_t)__pyx_v_memory); - /* "View.MemoryView":303 + /* "View.MemoryView":304 * * with cython.cdivision(True): * offset = aligned_p % alignment # <<<<<<<<<<<<<< @@ -4712,7 +4806,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ __pyx_v_offset = (__pyx_v_aligned_p % __pyx_v_alignment); - /* "View.MemoryView":305 + /* "View.MemoryView":306 * offset = aligned_p % alignment * * if offset > 0: # <<<<<<<<<<<<<< @@ -4722,7 +4816,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) __pyx_t_1 = ((__pyx_v_offset > 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":306 + /* "View.MemoryView":307 * * if offset > 0: * aligned_p += alignment - offset # <<<<<<<<<<<<<< @@ -4731,7 +4825,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ __pyx_v_aligned_p = (__pyx_v_aligned_p + (__pyx_v_alignment - __pyx_v_offset)); - /* "View.MemoryView":305 + /* "View.MemoryView":306 * offset = aligned_p % alignment * * if offset > 0: # <<<<<<<<<<<<<< @@ -4740,7 +4834,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) */ } - /* "View.MemoryView":308 + /* "View.MemoryView":309 * aligned_p += alignment - offset * * return aligned_p # <<<<<<<<<<<<<< @@ -4750,7 +4844,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) __pyx_r = ((void *)__pyx_v_aligned_p); goto __pyx_L0; - /* "View.MemoryView":297 + /* "View.MemoryView":298 * * @cname('__pyx_align_pointer') * cdef void *align_pointer(void *memory, size_t alignment) nogil: # <<<<<<<<<<<<<< @@ -4763,7 +4857,7 @@ static void *__pyx_align_pointer(void *__pyx_v_memory, size_t __pyx_v_alignment) return __pyx_r; } -/* "View.MemoryView":344 +/* "View.MemoryView":345 * cdef __Pyx_TypeInfo *typeinfo * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< @@ -4805,7 +4899,7 @@ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_ar case 1: if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_flags)) != 0)) kw_args--; else { - __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); __PYX_ERR(1, 344, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, 1); __PYX_ERR(1, 345, __pyx_L3_error) } CYTHON_FALLTHROUGH; case 2: @@ -4815,7 +4909,7 @@ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_ar } } if (unlikely(kw_args > 0)) { - if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(1, 344, __pyx_L3_error) + if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__cinit__") < 0)) __PYX_ERR(1, 345, __pyx_L3_error) } } else { switch (PyTuple_GET_SIZE(__pyx_args)) { @@ -4828,16 +4922,16 @@ static int __pyx_memoryview___cinit__(PyObject *__pyx_v_self, PyObject *__pyx_ar } } __pyx_v_obj = values[0]; - __pyx_v_flags = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 344, __pyx_L3_error) + __pyx_v_flags = __Pyx_PyInt_As_int(values[1]); if (unlikely((__pyx_v_flags == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 345, __pyx_L3_error) if (values[2]) { - __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 344, __pyx_L3_error) + __pyx_v_dtype_is_object = __Pyx_PyObject_IsTrue(values[2]); if (unlikely((__pyx_v_dtype_is_object == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 345, __pyx_L3_error) } else { __pyx_v_dtype_is_object = ((int)0); } } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(1, 344, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("__cinit__", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(1, 345, __pyx_L3_error) __pyx_L3_error:; __Pyx_AddTraceback("View.MemoryView.memoryview.__cinit__", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); @@ -4859,7 +4953,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ int __pyx_t_4; __Pyx_RefNannySetupContext("__cinit__", 0); - /* "View.MemoryView":345 + /* "View.MemoryView":346 * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj # <<<<<<<<<<<<<< @@ -4872,7 +4966,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __Pyx_DECREF(__pyx_v_self->obj); __pyx_v_self->obj = __pyx_v_obj; - /* "View.MemoryView":346 + /* "View.MemoryView":347 * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): * self.obj = obj * self.flags = flags # <<<<<<<<<<<<<< @@ -4881,7 +4975,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->flags = __pyx_v_flags; - /* "View.MemoryView":347 + /* "View.MemoryView":348 * self.obj = obj * self.flags = flags * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< @@ -4901,16 +4995,16 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_L4_bool_binop_done:; if (__pyx_t_1) { - /* "View.MemoryView":348 + /* "View.MemoryView":349 * self.flags = flags * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) # <<<<<<<<<<<<<< * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None */ - __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 348, __pyx_L1_error) + __pyx_t_4 = __Pyx_GetBuffer(__pyx_v_obj, (&__pyx_v_self->view), __pyx_v_flags); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 349, __pyx_L1_error) - /* "View.MemoryView":349 + /* "View.MemoryView":350 * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: # <<<<<<<<<<<<<< @@ -4920,7 +5014,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((((PyObject *)__pyx_v_self->view.obj) == NULL) != 0); if (__pyx_t_1) { - /* "View.MemoryView":350 + /* "View.MemoryView":351 * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None # <<<<<<<<<<<<<< @@ -4929,7 +5023,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ ((Py_buffer *)(&__pyx_v_self->view))->obj = Py_None; - /* "View.MemoryView":351 + /* "View.MemoryView":352 * if self.view.obj == NULL: * (<__pyx_buffer *> &self.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< @@ -4938,7 +5032,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ Py_INCREF(Py_None); - /* "View.MemoryView":349 + /* "View.MemoryView":350 * if type(self) is memoryview or obj is not None: * __Pyx_GetBuffer(obj, &self.view, flags) * if self.view.obj == NULL: # <<<<<<<<<<<<<< @@ -4947,7 +5041,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":347 + /* "View.MemoryView":348 * self.obj = obj * self.flags = flags * if type(self) is memoryview or obj is not None: # <<<<<<<<<<<<<< @@ -4956,7 +5050,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":354 + /* "View.MemoryView":355 * * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< @@ -4966,7 +5060,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((__pyx_memoryview_thread_locks_used < 8) != 0); if (__pyx_t_1) { - /* "View.MemoryView":355 + /* "View.MemoryView":356 * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] # <<<<<<<<<<<<<< @@ -4975,7 +5069,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->lock = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); - /* "View.MemoryView":356 + /* "View.MemoryView":357 * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] * __pyx_memoryview_thread_locks_used += 1 # <<<<<<<<<<<<<< @@ -4984,7 +5078,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used + 1); - /* "View.MemoryView":354 + /* "View.MemoryView":355 * * global __pyx_memoryview_thread_locks_used * if __pyx_memoryview_thread_locks_used < THREAD_LOCKS_PREALLOCATED: # <<<<<<<<<<<<<< @@ -4993,7 +5087,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":357 + /* "View.MemoryView":358 * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] * __pyx_memoryview_thread_locks_used += 1 * if self.lock is NULL: # <<<<<<<<<<<<<< @@ -5003,7 +5097,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); if (__pyx_t_1) { - /* "View.MemoryView":358 + /* "View.MemoryView":359 * __pyx_memoryview_thread_locks_used += 1 * if self.lock is NULL: * self.lock = PyThread_allocate_lock() # <<<<<<<<<<<<<< @@ -5012,7 +5106,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->lock = PyThread_allocate_lock(); - /* "View.MemoryView":359 + /* "View.MemoryView":360 * if self.lock is NULL: * self.lock = PyThread_allocate_lock() * if self.lock is NULL: # <<<<<<<<<<<<<< @@ -5022,16 +5116,16 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((__pyx_v_self->lock == NULL) != 0); if (unlikely(__pyx_t_1)) { - /* "View.MemoryView":360 + /* "View.MemoryView":361 * self.lock = PyThread_allocate_lock() * if self.lock is NULL: * raise MemoryError # <<<<<<<<<<<<<< * * if flags & PyBUF_FORMAT: */ - PyErr_NoMemory(); __PYX_ERR(1, 360, __pyx_L1_error) + PyErr_NoMemory(); __PYX_ERR(1, 361, __pyx_L1_error) - /* "View.MemoryView":359 + /* "View.MemoryView":360 * if self.lock is NULL: * self.lock = PyThread_allocate_lock() * if self.lock is NULL: # <<<<<<<<<<<<<< @@ -5040,7 +5134,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":357 + /* "View.MemoryView":358 * self.lock = __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] * __pyx_memoryview_thread_locks_used += 1 * if self.lock is NULL: # <<<<<<<<<<<<<< @@ -5049,7 +5143,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ } - /* "View.MemoryView":362 + /* "View.MemoryView":363 * raise MemoryError * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< @@ -5059,7 +5153,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); if (__pyx_t_1) { - /* "View.MemoryView":363 + /* "View.MemoryView":364 * * if flags & PyBUF_FORMAT: * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') # <<<<<<<<<<<<<< @@ -5077,7 +5171,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ __pyx_L11_bool_binop_done:; __pyx_v_self->dtype_is_object = __pyx_t_1; - /* "View.MemoryView":362 + /* "View.MemoryView":363 * raise MemoryError * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< @@ -5087,7 +5181,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ goto __pyx_L10; } - /* "View.MemoryView":365 + /* "View.MemoryView":366 * self.dtype_is_object = (self.view.format[0] == b'O' and self.view.format[1] == b'\0') * else: * self.dtype_is_object = dtype_is_object # <<<<<<<<<<<<<< @@ -5099,7 +5193,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ } __pyx_L10:; - /* "View.MemoryView":367 + /* "View.MemoryView":368 * self.dtype_is_object = dtype_is_object * * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( # <<<<<<<<<<<<<< @@ -5108,7 +5202,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->acquisition_count_aligned_p = ((__pyx_atomic_int *)__pyx_align_pointer(((void *)(&(__pyx_v_self->acquisition_count[0]))), (sizeof(__pyx_atomic_int)))); - /* "View.MemoryView":369 + /* "View.MemoryView":370 * self.acquisition_count_aligned_p = <__pyx_atomic_int *> align_pointer( * &self.acquisition_count[0], sizeof(__pyx_atomic_int)) * self.typeinfo = NULL # <<<<<<<<<<<<<< @@ -5117,7 +5211,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ */ __pyx_v_self->typeinfo = NULL; - /* "View.MemoryView":344 + /* "View.MemoryView":345 * cdef __Pyx_TypeInfo *typeinfo * * def __cinit__(memoryview self, object obj, int flags, bint dtype_is_object=False): # <<<<<<<<<<<<<< @@ -5136,7 +5230,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview___cinit_ return __pyx_r; } -/* "View.MemoryView":371 +/* "View.MemoryView":372 * self.typeinfo = NULL * * def __dealloc__(memoryview self): # <<<<<<<<<<<<<< @@ -5167,7 +5261,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal PyThread_type_lock __pyx_t_7; __Pyx_RefNannySetupContext("__dealloc__", 0); - /* "View.MemoryView":372 + /* "View.MemoryView":373 * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< @@ -5178,7 +5272,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { - /* "View.MemoryView":373 + /* "View.MemoryView":374 * def __dealloc__(memoryview self): * if self.obj is not None: * __Pyx_ReleaseBuffer(&self.view) # <<<<<<<<<<<<<< @@ -5187,7 +5281,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ __Pyx_ReleaseBuffer((&__pyx_v_self->view)); - /* "View.MemoryView":372 + /* "View.MemoryView":373 * * def __dealloc__(memoryview self): * if self.obj is not None: # <<<<<<<<<<<<<< @@ -5196,7 +5290,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ } - /* "View.MemoryView":377 + /* "View.MemoryView":378 * cdef int i * global __pyx_memoryview_thread_locks_used * if self.lock != NULL: # <<<<<<<<<<<<<< @@ -5206,7 +5300,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = ((__pyx_v_self->lock != NULL) != 0); if (__pyx_t_2) { - /* "View.MemoryView":378 + /* "View.MemoryView":379 * global __pyx_memoryview_thread_locks_used * if self.lock != NULL: * for i in range(__pyx_memoryview_thread_locks_used): # <<<<<<<<<<<<<< @@ -5218,7 +5312,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal for (__pyx_t_5 = 0; __pyx_t_5 < __pyx_t_4; __pyx_t_5+=1) { __pyx_v_i = __pyx_t_5; - /* "View.MemoryView":379 + /* "View.MemoryView":380 * if self.lock != NULL: * for i in range(__pyx_memoryview_thread_locks_used): * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< @@ -5228,7 +5322,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = (((__pyx_memoryview_thread_locks[__pyx_v_i]) == __pyx_v_self->lock) != 0); if (__pyx_t_2) { - /* "View.MemoryView":380 + /* "View.MemoryView":381 * for i in range(__pyx_memoryview_thread_locks_used): * if __pyx_memoryview_thread_locks[i] is self.lock: * __pyx_memoryview_thread_locks_used -= 1 # <<<<<<<<<<<<<< @@ -5237,7 +5331,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ __pyx_memoryview_thread_locks_used = (__pyx_memoryview_thread_locks_used - 1); - /* "View.MemoryView":381 + /* "View.MemoryView":382 * if __pyx_memoryview_thread_locks[i] is self.lock: * __pyx_memoryview_thread_locks_used -= 1 * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< @@ -5247,7 +5341,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_2 = ((__pyx_v_i != __pyx_memoryview_thread_locks_used) != 0); if (__pyx_t_2) { - /* "View.MemoryView":383 + /* "View.MemoryView":384 * if i != __pyx_memoryview_thread_locks_used: * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) # <<<<<<<<<<<<<< @@ -5257,7 +5351,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal __pyx_t_6 = (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]); __pyx_t_7 = (__pyx_memoryview_thread_locks[__pyx_v_i]); - /* "View.MemoryView":382 + /* "View.MemoryView":383 * __pyx_memoryview_thread_locks_used -= 1 * if i != __pyx_memoryview_thread_locks_used: * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( # <<<<<<<<<<<<<< @@ -5267,7 +5361,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal (__pyx_memoryview_thread_locks[__pyx_v_i]) = __pyx_t_6; (__pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used]) = __pyx_t_7; - /* "View.MemoryView":381 + /* "View.MemoryView":382 * if __pyx_memoryview_thread_locks[i] is self.lock: * __pyx_memoryview_thread_locks_used -= 1 * if i != __pyx_memoryview_thread_locks_used: # <<<<<<<<<<<<<< @@ -5276,7 +5370,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ } - /* "View.MemoryView":384 + /* "View.MemoryView":385 * __pyx_memoryview_thread_locks[i], __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used] = ( * __pyx_memoryview_thread_locks[__pyx_memoryview_thread_locks_used], __pyx_memoryview_thread_locks[i]) * break # <<<<<<<<<<<<<< @@ -5285,7 +5379,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal */ goto __pyx_L6_break; - /* "View.MemoryView":379 + /* "View.MemoryView":380 * if self.lock != NULL: * for i in range(__pyx_memoryview_thread_locks_used): * if __pyx_memoryview_thread_locks[i] is self.lock: # <<<<<<<<<<<<<< @@ -5296,7 +5390,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal } /*else*/ { - /* "View.MemoryView":386 + /* "View.MemoryView":387 * break * else: * PyThread_free_lock(self.lock) # <<<<<<<<<<<<<< @@ -5307,7 +5401,7 @@ static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__deal } __pyx_L6_break:; 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- /* "View.MemoryView":392 + /* "View.MemoryView":393 * cdef char *itemp = self.view.buf * * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< @@ -5372,26 +5466,26 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py __pyx_t_2 = __pyx_v_index; __Pyx_INCREF(__pyx_t_2); __pyx_t_3 = 0; __pyx_t_4 = NULL; } else { - __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 392, __pyx_L1_error) + __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_index); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 393, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); - __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 392, __pyx_L1_error) + __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 393, __pyx_L1_error) } for (;;) { if (likely(!__pyx_t_4)) { if (likely(PyList_CheckExact(__pyx_t_2))) { if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break; #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 392, __pyx_L1_error) + __pyx_t_5 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 393, __pyx_L1_error) #else - __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 392, __pyx_L1_error) + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 393, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); #endif } else { if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break; #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 392, __pyx_L1_error) + __pyx_t_5 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_5); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(1, 393, __pyx_L1_error) #else - __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 392, __pyx_L1_error) + __pyx_t_5 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 393, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); #endif } @@ -5401,7 +5495,7 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py PyObject* exc_type = PyErr_Occurred(); if (exc_type) { if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear(); - else __PYX_ERR(1, 392, __pyx_L1_error) + else __PYX_ERR(1, 393, __pyx_L1_error) } break; } @@ -5412,18 +5506,18 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py __pyx_v_dim = __pyx_t_1; __pyx_t_1 = (__pyx_t_1 + 1); - /* "View.MemoryView":393 + /* "View.MemoryView":394 * * for dim, idx in enumerate(index): * itemp = pybuffer_index(&self.view, itemp, idx, dim) # <<<<<<<<<<<<<< * * return itemp */ - __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 393, __pyx_L1_error) - __pyx_t_7 = __pyx_pybuffer_index((&__pyx_v_self->view), __pyx_v_itemp, __pyx_t_6, __pyx_v_dim); if (unlikely(__pyx_t_7 == ((char *)NULL))) __PYX_ERR(1, 393, __pyx_L1_error) + __pyx_t_6 = __Pyx_PyIndex_AsSsize_t(__pyx_v_idx); if (unlikely((__pyx_t_6 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 394, __pyx_L1_error) + __pyx_t_7 = __pyx_pybuffer_index((&__pyx_v_self->view), __pyx_v_itemp, __pyx_t_6, __pyx_v_dim); if (unlikely(__pyx_t_7 == ((char *)NULL))) __PYX_ERR(1, 394, __pyx_L1_error) __pyx_v_itemp = __pyx_t_7; - /* "View.MemoryView":392 + /* "View.MemoryView":393 * cdef char *itemp = self.view.buf * * for dim, idx in enumerate(index): # <<<<<<<<<<<<<< @@ -5433,7 +5527,7 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py } __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - /* "View.MemoryView":395 + /* "View.MemoryView":396 * itemp = pybuffer_index(&self.view, itemp, idx, dim) * * return itemp # <<<<<<<<<<<<<< @@ -5443,7 +5537,7 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py __pyx_r = __pyx_v_itemp; goto __pyx_L0; - /* "View.MemoryView":388 + /* "View.MemoryView":389 * PyThread_free_lock(self.lock) * * cdef char *get_item_pointer(memoryview self, object index) except NULL: # <<<<<<<<<<<<<< @@ -5463,7 +5557,7 @@ static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__py return __pyx_r; } -/* "View.MemoryView":398 +/* "View.MemoryView":399 * * * def __getitem__(memoryview self, object index): # <<<<<<<<<<<<<< @@ -5498,7 +5592,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ char *__pyx_t_6; __Pyx_RefNannySetupContext("__getitem__", 0); - /* "View.MemoryView":399 + /* "View.MemoryView":400 * * def __getitem__(memoryview self, object index): * if index is Ellipsis: # <<<<<<<<<<<<<< @@ -5509,7 +5603,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { - /* "View.MemoryView":400 + /* "View.MemoryView":401 * def __getitem__(memoryview self, object index): * if index is Ellipsis: * return self # <<<<<<<<<<<<<< @@ -5521,7 +5615,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ __pyx_r = ((PyObject *)__pyx_v_self); goto __pyx_L0; - /* "View.MemoryView":399 + /* "View.MemoryView":400 * * def __getitem__(memoryview self, object index): * if index is Ellipsis: # <<<<<<<<<<<<<< @@ -5530,14 +5624,14 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ */ } - /* "View.MemoryView":402 + /* "View.MemoryView":403 * return self * * have_slices, indices = _unellipsify(index, self.view.ndim) # <<<<<<<<<<<<<< * * cdef char *itemp */ - __pyx_t_3 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 402, __pyx_L1_error) + __pyx_t_3 = _unellipsify(__pyx_v_index, __pyx_v_self->view.ndim); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 403, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); if (likely(__pyx_t_3 != Py_None)) { PyObject* sequence = __pyx_t_3; @@ -5545,7 +5639,7 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ if (unlikely(size != 2)) { if (size > 2) __Pyx_RaiseTooManyValuesError(2); else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size); 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__pyx_t_4 = 0; __pyx_v_indices = __pyx_t_5; __pyx_t_5 = 0; - /* "View.MemoryView":405 + /* "View.MemoryView":406 * * cdef char *itemp * if have_slices: # <<<<<<<<<<<<<< * return memview_slice(self, indices) * else: */ - __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(1, 405, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_have_slices); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(1, 406, __pyx_L1_error) if (__pyx_t_2) { - /* "View.MemoryView":406 + /* "View.MemoryView":407 * cdef char *itemp * if have_slices: * return memview_slice(self, indices) # <<<<<<<<<<<<<< @@ -5585,13 +5679,13 @@ static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4_ * itemp = self.get_item_pointer(indices) */ __Pyx_XDECREF(__pyx_r); - __pyx_t_3 = ((PyObject *)__pyx_memview_slice(__pyx_v_self, __pyx_v_indices)); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 406, __pyx_L1_error) + __pyx_t_3 = ((PyObject *)__pyx_memview_slice(__pyx_v_self, __pyx_v_indices)); 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__pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":428 + /* "View.MemoryView":429 * cdef is_slice(self, obj): * if not isinstance(obj, memoryview): * try: # <<<<<<<<<<<<<< - * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, * self.dtype_is_object) */ { @@ -5924,34 +6018,34 @@ static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_ __Pyx_XGOTREF(__pyx_t_5); /*try:*/ { - /* "View.MemoryView":429 + /* "View.MemoryView":430 * if not isinstance(obj, memoryview): * try: - * obj = memoryview(obj, self.flags|PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< + * obj = memoryview(obj, self.flags & ~PyBUF_WRITABLE | PyBUF_ANY_CONTIGUOUS, # <<<<<<<<<<<<<< * self.dtype_is_object) * except TypeError: */ - __pyx_t_6 = __Pyx_PyInt_From_int((__pyx_v_self->flags | PyBUF_ANY_CONTIGUOUS)); if (unlikely(!__pyx_t_6)) __PYX_ERR(1, 429, __pyx_L4_error) + __pyx_t_6 = __Pyx_PyInt_From_int(((__pyx_v_self->flags & (~PyBUF_WRITABLE)) | PyBUF_ANY_CONTIGUOUS)); 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__pyx_t_10 = 0; - /* "View.MemoryView":496 + /* "View.MemoryView":497 * return result * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< @@ -7017,7 +7111,7 @@ static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryvie return __pyx_r; } -/* "View.MemoryView":513 +/* "View.MemoryView":514 * * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): # <<<<<<<<<<<<<< @@ -7057,7 +7151,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "View.MemoryView":514 + /* "View.MemoryView":515 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< @@ -7075,20 +7169,20 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_L4_bool_binop_done:; if (unlikely(__pyx_t_1)) { - /* "View.MemoryView":515 + /* "View.MemoryView":516 * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_WRITABLE and self.view.readonly: * raise ValueError("Cannot create writable memory view from read-only memoryview") # <<<<<<<<<<<<<< * - * if flags & PyBUF_STRIDES: + * if flags & PyBUF_ND: */ - __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__11, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 515, __pyx_L1_error) + __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__10, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 516, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - __PYX_ERR(1, 515, __pyx_L1_error) + __PYX_ERR(1, 516, __pyx_L1_error) - /* "View.MemoryView":514 + /* "View.MemoryView":515 * @cname('getbuffer') * def __getbuffer__(self, Py_buffer *info, int flags): * if flags & PyBUF_WRITABLE and self.view.readonly: # <<<<<<<<<<<<<< @@ -7097,19 +7191,19 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu */ } - /* "View.MemoryView":517 + /* "View.MemoryView":518 * raise ValueError("Cannot create writable memory view from read-only memoryview") * - * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< + * if flags & PyBUF_ND: # <<<<<<<<<<<<<< * info.shape = self.view.shape * else: */ - __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); + __pyx_t_1 = ((__pyx_v_flags & PyBUF_ND) != 0); if (__pyx_t_1) { - /* "View.MemoryView":518 + /* "View.MemoryView":519 * - * if flags & PyBUF_STRIDES: + * if flags & PyBUF_ND: * info.shape = self.view.shape # <<<<<<<<<<<<<< * else: * info.shape = NULL @@ -7117,17 +7211,17 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_t_4 = __pyx_v_self->view.shape; __pyx_v_info->shape = __pyx_t_4; - /* "View.MemoryView":517 + /* "View.MemoryView":518 * raise ValueError("Cannot create writable memory view from read-only memoryview") * - * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< + * if flags & PyBUF_ND: # <<<<<<<<<<<<<< * info.shape = self.view.shape * else: */ goto __pyx_L6; } - /* "View.MemoryView":520 + /* "View.MemoryView":521 * info.shape = self.view.shape * else: * info.shape = NULL # <<<<<<<<<<<<<< @@ -7139,7 +7233,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu } __pyx_L6:; - /* "View.MemoryView":522 + /* "View.MemoryView":523 * info.shape = NULL * * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< @@ -7149,7 +7243,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_t_1 = ((__pyx_v_flags & PyBUF_STRIDES) != 0); if (__pyx_t_1) { - /* "View.MemoryView":523 + /* "View.MemoryView":524 * * if flags & PyBUF_STRIDES: * info.strides = self.view.strides # <<<<<<<<<<<<<< @@ -7159,7 +7253,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_t_4 = __pyx_v_self->view.strides; __pyx_v_info->strides = __pyx_t_4; - /* "View.MemoryView":522 + /* "View.MemoryView":523 * info.shape = NULL * * if flags & PyBUF_STRIDES: # <<<<<<<<<<<<<< @@ -7169,7 +7263,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu goto __pyx_L7; } - /* "View.MemoryView":525 + /* "View.MemoryView":526 * info.strides = self.view.strides * else: * info.strides = NULL # <<<<<<<<<<<<<< @@ -7181,7 +7275,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu } __pyx_L7:; - /* "View.MemoryView":527 + /* "View.MemoryView":528 * info.strides = NULL * * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< @@ -7191,7 +7285,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_t_1 = ((__pyx_v_flags & PyBUF_INDIRECT) != 0); if (__pyx_t_1) { - /* "View.MemoryView":528 + /* "View.MemoryView":529 * * if flags & PyBUF_INDIRECT: * info.suboffsets = self.view.suboffsets # <<<<<<<<<<<<<< @@ -7201,7 +7295,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_t_4 = __pyx_v_self->view.suboffsets; __pyx_v_info->suboffsets = __pyx_t_4; - /* "View.MemoryView":527 + /* "View.MemoryView":528 * info.strides = NULL * * if flags & PyBUF_INDIRECT: # <<<<<<<<<<<<<< @@ -7211,7 +7305,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu goto __pyx_L8; } - /* "View.MemoryView":530 + /* "View.MemoryView":531 * info.suboffsets = self.view.suboffsets * else: * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -7223,7 +7317,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu } __pyx_L8:; - /* "View.MemoryView":532 + /* "View.MemoryView":533 * info.suboffsets = NULL * * if flags & PyBUF_FORMAT: # <<<<<<<<<<<<<< @@ -7233,7 +7327,7 @@ static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_8__getbu __pyx_t_1 = ((__pyx_v_flags & PyBUF_FORMAT) != 0); 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- /* "View.MemoryView":773 + /* "View.MemoryView":774 * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, # <<<<<<<<<<<<<< * memviewsliceobj.to_dtype_func, * memview.dtype_is_object) */ - if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(1, 773, __pyx_L1_error) } + if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(1, 774, __pyx_L1_error) } - /* "View.MemoryView":774 + /* "View.MemoryView":775 * return memoryview_fromslice(dst, new_ndim, * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, # <<<<<<<<<<<<<< * memview.dtype_is_object) * else: */ - if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(1, 774, __pyx_L1_error) } + if (unlikely(!__pyx_v_memviewsliceobj)) { __Pyx_RaiseUnboundLocalError("memviewsliceobj"); __PYX_ERR(1, 775, __pyx_L1_error) } - /* "View.MemoryView":772 + /* "View.MemoryView":773 * * if isinstance(memview, _memoryviewslice): * return memoryview_fromslice(dst, new_ndim, # <<<<<<<<<<<<<< * memviewsliceobj.to_object_func, * memviewsliceobj.to_dtype_func, */ - __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 772, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, __pyx_v_memviewsliceobj->to_object_func, __pyx_v_memviewsliceobj->to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 773, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); - if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 772, __pyx_L1_error) + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 773, __pyx_L1_error) __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; - /* "View.MemoryView":771 + /* "View.MemoryView":772 * new_ndim += 1 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -10001,7 +10095,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ */ } - /* "View.MemoryView":777 + /* "View.MemoryView":778 * memview.dtype_is_object) * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< @@ -10011,30 +10105,30 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ /*else*/ { __Pyx_XDECREF(((PyObject *)__pyx_r)); - /* "View.MemoryView":778 + /* "View.MemoryView":779 * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ - __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 777, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_fromslice(__pyx_v_dst, __pyx_v_new_ndim, NULL, NULL, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 778, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); - /* "View.MemoryView":777 + /* "View.MemoryView":778 * memview.dtype_is_object) * else: * return memoryview_fromslice(dst, new_ndim, NULL, NULL, # <<<<<<<<<<<<<< * memview.dtype_is_object) * */ - if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 777, __pyx_L1_error) + if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_memoryview_type))))) __PYX_ERR(1, 778, __pyx_L1_error) __pyx_r = ((struct __pyx_memoryview_obj *)__pyx_t_3); __pyx_t_3 = 0; goto __pyx_L0; } - /* "View.MemoryView":705 + /* "View.MemoryView":706 * * @cname('__pyx_memview_slice') * cdef memoryview memview_slice(memoryview memview, object indices): # <<<<<<<<<<<<<< @@ -10056,7 +10150,7 @@ static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_ return __pyx_r; } -/* "View.MemoryView":802 +/* "View.MemoryView":803 * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< @@ -10072,7 +10166,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, int __pyx_t_2; int __pyx_t_3; - /* "View.MemoryView":822 + /* "View.MemoryView":823 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< @@ -10082,7 +10176,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_1 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_1) { - /* "View.MemoryView":824 + /* "View.MemoryView":825 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< @@ -10092,7 +10186,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_1 = ((__pyx_v_start < 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":825 + /* "View.MemoryView":826 * * if start < 0: * start += shape # <<<<<<<<<<<<<< @@ -10101,7 +10195,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); - /* "View.MemoryView":824 + /* "View.MemoryView":825 * if not is_slice: * * if start < 0: # <<<<<<<<<<<<<< @@ -10110,7 +10204,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":826 + /* "View.MemoryView":827 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< @@ -10124,16 +10218,16 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":827 + /* "View.MemoryView":828 * start += shape * if not 0 <= start < shape: * _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<< * else: * */ - __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 827, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 828, __pyx_L1_error) - /* "View.MemoryView":826 + /* "View.MemoryView":827 * if start < 0: * start += shape * if not 0 <= start < shape: # <<<<<<<<<<<<<< @@ -10142,7 +10236,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":822 + /* "View.MemoryView":823 * cdef bint negative_step * * if not is_slice: # <<<<<<<<<<<<<< @@ -10152,7 +10246,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L3; } - /* "View.MemoryView":830 + /* "View.MemoryView":831 * else: * * negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<< @@ -10171,7 +10265,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_L6_bool_binop_done:; __pyx_v_negative_step = __pyx_t_2; - /* "View.MemoryView":832 + /* "View.MemoryView":833 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< @@ -10189,16 +10283,16 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_L9_bool_binop_done:; if (__pyx_t_2) { - /* "View.MemoryView":833 + /* "View.MemoryView":834 * * if have_step and step == 0: * _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<< * * */ - __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 833, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 834, __pyx_L1_error) - /* "View.MemoryView":832 + /* "View.MemoryView":833 * negative_step = have_step != 0 and step < 0 * * if have_step and step == 0: # <<<<<<<<<<<<<< @@ -10207,7 +10301,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":836 + /* "View.MemoryView":837 * * * if have_start: # <<<<<<<<<<<<<< @@ -10217,7 +10311,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_have_start != 0); if (__pyx_t_2) { - /* "View.MemoryView":837 + /* "View.MemoryView":838 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< @@ -10227,7 +10321,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":838 + /* "View.MemoryView":839 * if have_start: * if start < 0: * start += shape # <<<<<<<<<<<<<< @@ -10236,7 +10330,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_start + __pyx_v_shape); - /* "View.MemoryView":839 + /* "View.MemoryView":840 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< @@ -10246,7 +10340,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_start < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":840 + /* "View.MemoryView":841 * start += shape * if start < 0: * start = 0 # <<<<<<<<<<<<<< @@ -10255,7 +10349,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = 0; - /* "View.MemoryView":839 + /* "View.MemoryView":840 * if start < 0: * start += shape * if start < 0: # <<<<<<<<<<<<<< @@ -10264,7 +10358,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":837 + /* "View.MemoryView":838 * * if have_start: * if start < 0: # <<<<<<<<<<<<<< @@ -10274,7 +10368,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L12; } - /* "View.MemoryView":841 + /* "View.MemoryView":842 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< @@ -10284,7 +10378,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0); if (__pyx_t_2) { - /* "View.MemoryView":842 + /* "View.MemoryView":843 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< @@ -10294,7 +10388,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { - /* "View.MemoryView":843 + /* "View.MemoryView":844 * elif start >= shape: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< @@ -10303,7 +10397,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_shape - 1); - /* "View.MemoryView":842 + /* "View.MemoryView":843 * start = 0 * elif start >= shape: * if negative_step: # <<<<<<<<<<<<<< @@ -10313,7 +10407,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L14; } - /* "View.MemoryView":845 + /* "View.MemoryView":846 * start = shape - 1 * else: * start = shape # <<<<<<<<<<<<<< @@ -10325,7 +10419,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L14:; - /* "View.MemoryView":841 + /* "View.MemoryView":842 * if start < 0: * start = 0 * elif start >= shape: # <<<<<<<<<<<<<< @@ -10335,7 +10429,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L12:; - /* "View.MemoryView":836 + /* "View.MemoryView":837 * * * if have_start: # <<<<<<<<<<<<<< @@ -10345,7 +10439,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L11; } - /* "View.MemoryView":847 + /* "View.MemoryView":848 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -10356,7 +10450,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { - /* "View.MemoryView":848 + /* "View.MemoryView":849 * else: * if negative_step: * start = shape - 1 # <<<<<<<<<<<<<< @@ -10365,7 +10459,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_start = (__pyx_v_shape - 1); - /* "View.MemoryView":847 + /* "View.MemoryView":848 * start = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -10375,7 +10469,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L15; } - /* "View.MemoryView":850 + /* "View.MemoryView":851 * start = shape - 1 * else: * start = 0 # <<<<<<<<<<<<<< @@ -10389,7 +10483,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L11:; - /* "View.MemoryView":852 + /* "View.MemoryView":853 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< @@ -10399,7 +10493,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_have_stop != 0); if (__pyx_t_2) { - /* "View.MemoryView":853 + /* "View.MemoryView":854 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< @@ -10409,7 +10503,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":854 + /* "View.MemoryView":855 * if have_stop: * if stop < 0: * stop += shape # <<<<<<<<<<<<<< @@ -10418,7 +10512,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape); - /* "View.MemoryView":855 + /* "View.MemoryView":856 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< @@ -10428,7 +10522,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_stop < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":856 + /* "View.MemoryView":857 * stop += shape * if stop < 0: * stop = 0 # <<<<<<<<<<<<<< @@ -10437,7 +10531,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = 0; - /* "View.MemoryView":855 + /* "View.MemoryView":856 * if stop < 0: * stop += shape * if stop < 0: # <<<<<<<<<<<<<< @@ -10446,7 +10540,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":853 + /* "View.MemoryView":854 * * if have_stop: * if stop < 0: # <<<<<<<<<<<<<< @@ -10456,7 +10550,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L17; } - /* "View.MemoryView":857 + /* "View.MemoryView":858 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< @@ -10466,7 +10560,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0); if (__pyx_t_2) { - /* "View.MemoryView":858 + /* "View.MemoryView":859 * stop = 0 * elif stop > shape: * stop = shape # <<<<<<<<<<<<<< @@ -10475,7 +10569,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = __pyx_v_shape; - /* "View.MemoryView":857 + /* "View.MemoryView":858 * if stop < 0: * stop = 0 * elif stop > shape: # <<<<<<<<<<<<<< @@ -10485,7 +10579,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L17:; - /* "View.MemoryView":852 + /* "View.MemoryView":853 * start = 0 * * if have_stop: # <<<<<<<<<<<<<< @@ -10495,7 +10589,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L16; } - /* "View.MemoryView":860 + /* "View.MemoryView":861 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -10506,7 +10600,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (__pyx_v_negative_step != 0); if (__pyx_t_2) { - /* "View.MemoryView":861 + /* "View.MemoryView":862 * else: * if negative_step: * stop = -1 # <<<<<<<<<<<<<< @@ -10515,7 +10609,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_stop = -1L; - /* "View.MemoryView":860 + /* "View.MemoryView":861 * stop = shape * else: * if negative_step: # <<<<<<<<<<<<<< @@ -10525,7 +10619,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L19; } - /* "View.MemoryView":863 + /* "View.MemoryView":864 * stop = -1 * else: * stop = shape # <<<<<<<<<<<<<< @@ -10539,7 +10633,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L16:; - /* "View.MemoryView":865 + /* "View.MemoryView":866 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< @@ -10549,7 +10643,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":866 + /* "View.MemoryView":867 * * if not have_step: * step = 1 # <<<<<<<<<<<<<< @@ -10558,7 +10652,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_step = 1; - /* "View.MemoryView":865 + /* "View.MemoryView":866 * stop = shape * * if not have_step: # <<<<<<<<<<<<<< @@ -10567,7 +10661,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":870 + /* "View.MemoryView":871 * * with cython.cdivision(True): * new_shape = (stop - start) // step # <<<<<<<<<<<<<< @@ -10576,7 +10670,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step); - /* "View.MemoryView":872 + /* "View.MemoryView":873 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< @@ -10586,7 +10680,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":873 + /* "View.MemoryView":874 * * if (stop - start) - step * new_shape: * new_shape += 1 # <<<<<<<<<<<<<< @@ -10595,7 +10689,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_new_shape = (__pyx_v_new_shape + 1); - /* "View.MemoryView":872 + /* "View.MemoryView":873 * new_shape = (stop - start) // step * * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<< @@ -10604,7 +10698,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":875 + /* "View.MemoryView":876 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< @@ -10614,7 +10708,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":876 + /* "View.MemoryView":877 * * if new_shape < 0: * new_shape = 0 # <<<<<<<<<<<<<< @@ -10623,7 +10717,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_new_shape = 0; - /* "View.MemoryView":875 + /* "View.MemoryView":876 * new_shape += 1 * * if new_shape < 0: # <<<<<<<<<<<<<< @@ -10632,7 +10726,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":879 + /* "View.MemoryView":880 * * * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<< @@ -10641,7 +10735,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step); - /* "View.MemoryView":880 + /* "View.MemoryView":881 * * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<< @@ -10650,7 +10744,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ (__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape; - /* "View.MemoryView":881 + /* "View.MemoryView":882 * dst.strides[new_ndim] = stride * step * dst.shape[new_ndim] = new_shape * dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<< @@ -10661,7 +10755,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L3:; - /* "View.MemoryView":884 + /* "View.MemoryView":885 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< @@ -10671,7 +10765,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":885 + /* "View.MemoryView":886 * * if suboffset_dim[0] < 0: * dst.data += start * stride # <<<<<<<<<<<<<< @@ -10680,7 +10774,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride)); - /* "View.MemoryView":884 + /* "View.MemoryView":885 * * * if suboffset_dim[0] < 0: # <<<<<<<<<<<<<< @@ -10690,7 +10784,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L23; } - /* "View.MemoryView":887 + /* "View.MemoryView":888 * dst.data += start * stride * else: * dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<< @@ -10703,7 +10797,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L23:; - /* "View.MemoryView":889 + /* "View.MemoryView":890 * dst.suboffsets[suboffset_dim[0]] += start * stride * * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -10713,7 +10807,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":890 + /* "View.MemoryView":891 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< @@ -10723,7 +10817,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":891 + /* "View.MemoryView":892 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< @@ -10733,7 +10827,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":892 + /* "View.MemoryView":893 * if not is_slice: * if new_ndim == 0: * dst.data = ( dst.data)[0] + suboffset # <<<<<<<<<<<<<< @@ -10742,7 +10836,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ __pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset); - /* "View.MemoryView":891 + /* "View.MemoryView":892 * if suboffset >= 0: * if not is_slice: * if new_ndim == 0: # <<<<<<<<<<<<<< @@ -10752,7 +10846,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L26; } - /* "View.MemoryView":894 + /* "View.MemoryView":895 * dst.data = ( dst.data)[0] + suboffset * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<< @@ -10761,18 +10855,18 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ /*else*/ { - /* "View.MemoryView":895 + /* "View.MemoryView":896 * else: * _err_dim(IndexError, "All dimensions preceding dimension %d " * "must be indexed and not sliced", dim) # <<<<<<<<<<<<<< * else: * suboffset_dim[0] = new_ndim */ - __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 894, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 895, __pyx_L1_error) } __pyx_L26:; - /* "View.MemoryView":890 + /* "View.MemoryView":891 * * if suboffset >= 0: * if not is_slice: # <<<<<<<<<<<<<< @@ -10782,7 +10876,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, goto __pyx_L25; } - /* "View.MemoryView":897 + /* "View.MemoryView":898 * "must be indexed and not sliced", dim) * else: * suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<< @@ -10794,7 +10888,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, } __pyx_L25:; - /* "View.MemoryView":889 + /* "View.MemoryView":890 * dst.suboffsets[suboffset_dim[0]] += start * stride * * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -10803,7 +10897,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, */ } - /* "View.MemoryView":899 + /* "View.MemoryView":900 * suboffset_dim[0] = new_ndim * * return 0 # <<<<<<<<<<<<<< @@ -10813,7 +10907,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, __pyx_r = 0; goto __pyx_L0; - /* "View.MemoryView":802 + /* "View.MemoryView":803 * * @cname('__pyx_memoryview_slice_memviewslice') * cdef int slice_memviewslice( # <<<<<<<<<<<<<< @@ -10837,7 +10931,7 @@ static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *__pyx_v_dst, return __pyx_r; } -/* "View.MemoryView":905 +/* "View.MemoryView":906 * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< @@ -10859,7 +10953,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P PyObject *__pyx_t_4 = NULL; __Pyx_RefNannySetupContext("pybuffer_index", 0); - /* "View.MemoryView":907 + /* "View.MemoryView":908 * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, * Py_ssize_t dim) except NULL: * cdef Py_ssize_t shape, stride, suboffset = -1 # <<<<<<<<<<<<<< @@ -10868,7 +10962,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P */ __pyx_v_suboffset = -1L; 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if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 927, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; - __PYX_ERR(1, 926, __pyx_L1_error) + __PYX_ERR(1, 927, __pyx_L1_error) - /* "View.MemoryView":925 + /* "View.MemoryView":926 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * if index >= shape: # <<<<<<<<<<<<<< @@ -11077,7 +11171,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P */ } - /* "View.MemoryView":928 + /* "View.MemoryView":929 * raise IndexError("Out of bounds on buffer access (axis %d)" % dim) * * resultp = bufp + index * stride # <<<<<<<<<<<<<< @@ -11086,7 +11180,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P */ __pyx_v_resultp = (__pyx_v_bufp + (__pyx_v_index * __pyx_v_stride)); - /* "View.MemoryView":929 + /* "View.MemoryView":930 * * resultp = bufp + index * stride * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -11096,7 +11190,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P __pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":930 + /* "View.MemoryView":931 * resultp = bufp + index * stride * if suboffset >= 0: * resultp = ( resultp)[0] + suboffset # <<<<<<<<<<<<<< @@ -11105,7 +11199,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P */ __pyx_v_resultp = ((((char **)__pyx_v_resultp)[0]) + __pyx_v_suboffset); - /* "View.MemoryView":929 + /* "View.MemoryView":930 * * resultp = bufp + index * stride * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -11114,7 +11208,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P */ } - /* "View.MemoryView":932 + /* "View.MemoryView":933 * resultp = ( resultp)[0] + suboffset * * return resultp # <<<<<<<<<<<<<< @@ -11124,7 +11218,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P __pyx_r = __pyx_v_resultp; goto __pyx_L0; - /* "View.MemoryView":905 + /* "View.MemoryView":906 * * @cname('__pyx_pybuffer_index') * cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index, # <<<<<<<<<<<<<< @@ -11143,7 +11237,7 @@ static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, P return __pyx_r; } -/* "View.MemoryView":938 +/* "View.MemoryView":939 * * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< @@ -11168,7 +11262,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { int __pyx_t_8; int __pyx_t_9; - /* "View.MemoryView":939 + /* "View.MemoryView":940 * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: * cdef int ndim = memslice.memview.view.ndim # <<<<<<<<<<<<<< @@ -11178,7 +11272,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { __pyx_t_1 = __pyx_v_memslice->memview->view.ndim; __pyx_v_ndim = __pyx_t_1; - /* "View.MemoryView":941 + /* "View.MemoryView":942 * cdef int ndim = memslice.memview.view.ndim * * cdef Py_ssize_t *shape = memslice.shape # <<<<<<<<<<<<<< @@ -11188,7 +11282,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { __pyx_t_2 = __pyx_v_memslice->shape; __pyx_v_shape = __pyx_t_2; - /* "View.MemoryView":942 + /* "View.MemoryView":943 * * cdef Py_ssize_t *shape = memslice.shape * cdef Py_ssize_t *strides = memslice.strides # <<<<<<<<<<<<<< @@ -11198,7 +11292,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { __pyx_t_2 = __pyx_v_memslice->strides; __pyx_v_strides = __pyx_t_2; - /* "View.MemoryView":946 + /* "View.MemoryView":947 * * cdef int i, j * for i in range(ndim / 2): # <<<<<<<<<<<<<< @@ -11210,7 +11304,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { for (__pyx_t_1 = 0; __pyx_t_1 < __pyx_t_4; __pyx_t_1+=1) { __pyx_v_i = __pyx_t_1; - /* "View.MemoryView":947 + /* "View.MemoryView":948 * cdef int i, j * for i in range(ndim / 2): * j = ndim - 1 - i # <<<<<<<<<<<<<< @@ -11219,7 +11313,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { */ __pyx_v_j = ((__pyx_v_ndim - 1) - __pyx_v_i); - /* "View.MemoryView":948 + /* "View.MemoryView":949 * for i in range(ndim / 2): * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] # <<<<<<<<<<<<<< @@ -11231,7 +11325,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { (__pyx_v_strides[__pyx_v_i]) = __pyx_t_5; (__pyx_v_strides[__pyx_v_j]) = __pyx_t_6; - /* "View.MemoryView":949 + /* "View.MemoryView":950 * j = ndim - 1 - i * strides[i], strides[j] = strides[j], strides[i] * shape[i], shape[j] = shape[j], shape[i] # <<<<<<<<<<<<<< @@ -11243,7 +11337,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { (__pyx_v_shape[__pyx_v_i]) = __pyx_t_6; (__pyx_v_shape[__pyx_v_j]) = __pyx_t_5; - /* "View.MemoryView":951 + /* "View.MemoryView":952 * shape[i], shape[j] = shape[j], shape[i] * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< @@ -11261,16 +11355,16 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { __pyx_L6_bool_binop_done:; if (__pyx_t_7) { - /* "View.MemoryView":952 + /* "View.MemoryView":953 * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") # <<<<<<<<<<<<<< * * return 1 */ - __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, ((char *)"Cannot transpose memoryview with indirect dimensions")); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(1, 952, __pyx_L1_error) + __pyx_t_9 = __pyx_memoryview_err(__pyx_builtin_ValueError, ((char *)"Cannot transpose memoryview with indirect dimensions")); if (unlikely(__pyx_t_9 == ((int)-1))) __PYX_ERR(1, 953, __pyx_L1_error) - /* "View.MemoryView":951 + /* "View.MemoryView":952 * shape[i], shape[j] = shape[j], shape[i] * * if memslice.suboffsets[i] >= 0 or memslice.suboffsets[j] >= 0: # <<<<<<<<<<<<<< @@ -11280,7 +11374,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { } } - /* "View.MemoryView":954 + /* "View.MemoryView":955 * _err(ValueError, "Cannot transpose memoryview with indirect dimensions") * * return 1 # <<<<<<<<<<<<<< @@ -11290,7 +11384,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { __pyx_r = 1; goto __pyx_L0; - /* "View.MemoryView":938 + /* "View.MemoryView":939 * * @cname('__pyx_memslice_transpose') * cdef int transpose_memslice(__Pyx_memviewslice *memslice) nogil except 0: # <<<<<<<<<<<<<< @@ -11314,7 +11408,7 @@ static int __pyx_memslice_transpose(__Pyx_memviewslice *__pyx_v_memslice) { return __pyx_r; 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__pyx_r = __pyx_t_2; __pyx_t_2 = 0; goto __pyx_L0; - /* "View.MemoryView":975 + /* "View.MemoryView":976 * * cdef convert_item_to_object(self, char *itemp): * if self.to_object_func != NULL: # <<<<<<<<<<<<<< @@ -11406,7 +11500,7 @@ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memor */ } - /* "View.MemoryView":978 + /* "View.MemoryView":979 * return self.to_object_func(itemp) * else: * return memoryview.convert_item_to_object(self, itemp) # <<<<<<<<<<<<<< @@ -11415,14 +11509,14 @@ static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memor */ /*else*/ { __Pyx_XDECREF(__pyx_r); - __pyx_t_2 = __pyx_memoryview_convert_item_to_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 978, __pyx_L1_error) + __pyx_t_2 = __pyx_memoryview_convert_item_to_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 979, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); 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if (__pyx_t_1) { - /* "View.MemoryView":982 + /* "View.MemoryView":983 * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: * self.to_dtype_func(itemp, value) # <<<<<<<<<<<<<< * else: * memoryview.assign_item_from_object(self, itemp, value) */ - __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(1, 982, __pyx_L1_error) + __pyx_t_2 = __pyx_v_self->to_dtype_func(__pyx_v_itemp, __pyx_v_value); if (unlikely(__pyx_t_2 == ((int)0))) __PYX_ERR(1, 983, __pyx_L1_error) - /* "View.MemoryView":981 + /* "View.MemoryView":982 * * cdef assign_item_from_object(self, char *itemp, object value): * if self.to_dtype_func != NULL: # <<<<<<<<<<<<<< @@ -11486,7 +11580,7 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo goto __pyx_L3; } - /* "View.MemoryView":984 + /* "View.MemoryView":985 * self.to_dtype_func(itemp, value) * else: * memoryview.assign_item_from_object(self, itemp, value) # <<<<<<<<<<<<<< @@ -11494,13 +11588,13 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo * @property */ /*else*/ { - __pyx_t_3 = __pyx_memoryview_assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 984, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_assign_item_from_object(((struct __pyx_memoryview_obj *)__pyx_v_self), __pyx_v_itemp, __pyx_v_value); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 985, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __pyx_L3:; - /* "View.MemoryView":980 + /* "View.MemoryView":981 * return memoryview.convert_item_to_object(self, itemp) * * cdef assign_item_from_object(self, char *itemp, object value): # <<<<<<<<<<<<<< @@ -11521,7 +11615,7 @@ static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memo return __pyx_r; } -/* "View.MemoryView":987 +/* "View.MemoryView":988 * * @property * def base(self): # <<<<<<<<<<<<<< @@ -11547,7 +11641,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__ __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("__get__", 0); - /* "View.MemoryView":988 + /* "View.MemoryView":989 * @property * def base(self): * return self.from_object # <<<<<<<<<<<<<< @@ -11559,7 +11653,7 @@ static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__ __pyx_r = __pyx_v_self->from_object; goto __pyx_L0; - /* "View.MemoryView":987 + /* "View.MemoryView":988 * * @property * def base(self): # <<<<<<<<<<<<<< @@ -11605,7 +11699,7 @@ static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED * def __setstate_cython__(self, __pyx_state): * raise TypeError("no default __reduce__ due to non-trivial __cinit__") */ - __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__20, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 2, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__17, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 2, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_Raise(__pyx_t_1, 0, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -11658,7 +11752,7 @@ static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUS * def __setstate_cython__(self, __pyx_state): * raise TypeError("no default __reduce__ due to non-trivial __cinit__") # <<<<<<<<<<<<<< */ - __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__21, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 4, __pyx_L1_error) + __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__18, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 4, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_Raise(__pyx_t_1, 0, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -11681,7 +11775,7 @@ static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUS return __pyx_r; } -/* "View.MemoryView":994 +/* "View.MemoryView":995 * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< @@ -11706,7 +11800,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl Py_ssize_t __pyx_t_9; __Pyx_RefNannySetupContext("memoryview_fromslice", 0); - /* "View.MemoryView":1002 + /* "View.MemoryView":1003 * cdef _memoryviewslice result * * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< @@ -11716,7 +11810,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_1 = ((((PyObject *)__pyx_v_memviewslice.memview) == Py_None) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1003 + /* "View.MemoryView":1004 * * if memviewslice.memview == Py_None: * return None # <<<<<<<<<<<<<< @@ -11727,7 +11821,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "View.MemoryView":1002 + /* "View.MemoryView":1003 * cdef _memoryviewslice result * * if memviewslice.memview == Py_None: # <<<<<<<<<<<<<< @@ -11736,16 +11830,16 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ } - /* "View.MemoryView":1008 + /* "View.MemoryView":1009 * * * result = _memoryviewslice(None, 0, dtype_is_object) # <<<<<<<<<<<<<< * * result.from_slice = memviewslice */ - __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1008, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyBool_FromLong(__pyx_v_dtype_is_object); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1009, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); - __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 1008, __pyx_L1_error) + __pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 1009, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_INCREF(Py_None); __Pyx_GIVEREF(Py_None); @@ -11756,13 +11850,13 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_t_2); __pyx_t_2 = 0; - __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryviewslice_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1008, __pyx_L1_error) + __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_memoryviewslice_type), __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1009, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_result = ((struct __pyx_memoryviewslice_obj *)__pyx_t_2); __pyx_t_2 = 0; - /* "View.MemoryView":1010 + /* "View.MemoryView":1011 * result = _memoryviewslice(None, 0, dtype_is_object) * * result.from_slice = memviewslice # <<<<<<<<<<<<<< @@ -11771,7 +11865,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->from_slice = __pyx_v_memviewslice; 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__pyx_t_2 = 0; - /* "View.MemoryView":1014 + /* "View.MemoryView":1015 * * result.from_object = ( memviewslice.memview).base * result.typeinfo = memviewslice.memview.typeinfo # <<<<<<<<<<<<<< @@ -11805,7 +11899,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_4 = __pyx_v_memviewslice.memview->typeinfo; __pyx_v_result->__pyx_base.typeinfo = __pyx_t_4; - /* "View.MemoryView":1016 + /* "View.MemoryView":1017 * result.typeinfo = memviewslice.memview.typeinfo * * result.view = memviewslice.memview.view # <<<<<<<<<<<<<< @@ -11815,7 +11909,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_5 = __pyx_v_memviewslice.memview->view; __pyx_v_result->__pyx_base.view = __pyx_t_5; - /* "View.MemoryView":1017 + /* "View.MemoryView":1018 * * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data # <<<<<<<<<<<<<< @@ -11824,7 +11918,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.buf = ((void *)__pyx_v_memviewslice.data); - /* "View.MemoryView":1018 + /* "View.MemoryView":1019 * result.view = memviewslice.memview.view * result.view.buf = memviewslice.data * result.view.ndim = ndim # <<<<<<<<<<<<<< @@ -11833,7 +11927,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.ndim = __pyx_v_ndim; - /* "View.MemoryView":1019 + /* "View.MemoryView":1020 * result.view.buf = memviewslice.data * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None # <<<<<<<<<<<<<< @@ -11842,7 +11936,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ ((Py_buffer *)(&__pyx_v_result->__pyx_base.view))->obj = Py_None; - /* "View.MemoryView":1020 + /* "View.MemoryView":1021 * result.view.ndim = ndim * (<__pyx_buffer *> &result.view).obj = Py_None * Py_INCREF(Py_None) # <<<<<<<<<<<<<< @@ -11851,7 +11945,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ Py_INCREF(Py_None); - /* "View.MemoryView":1022 + /* "View.MemoryView":1023 * Py_INCREF(Py_None) * * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< @@ -11861,7 +11955,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_1 = ((((struct __pyx_memoryview_obj *)__pyx_v_memviewslice.memview)->flags & PyBUF_WRITABLE) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1023 + /* "View.MemoryView":1024 * * if (memviewslice.memview).flags & PyBUF_WRITABLE: * result.flags = PyBUF_RECORDS # <<<<<<<<<<<<<< @@ -11870,7 +11964,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.flags = PyBUF_RECORDS; - /* "View.MemoryView":1022 + /* "View.MemoryView":1023 * Py_INCREF(Py_None) * * if (memviewslice.memview).flags & PyBUF_WRITABLE: # <<<<<<<<<<<<<< @@ -11880,7 +11974,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl goto __pyx_L4; } - /* "View.MemoryView":1025 + /* "View.MemoryView":1026 * result.flags = PyBUF_RECORDS * else: * result.flags = PyBUF_RECORDS_RO # <<<<<<<<<<<<<< @@ -11892,7 +11986,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl } __pyx_L4:; - /* "View.MemoryView":1027 + /* "View.MemoryView":1028 * result.flags = PyBUF_RECORDS_RO * * result.view.shape = result.from_slice.shape # <<<<<<<<<<<<<< @@ -11901,7 +11995,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.shape = ((Py_ssize_t *)__pyx_v_result->from_slice.shape); - /* "View.MemoryView":1028 + /* "View.MemoryView":1029 * * result.view.shape = result.from_slice.shape * result.view.strides = result.from_slice.strides # <<<<<<<<<<<<<< @@ -11910,7 +12004,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.strides = ((Py_ssize_t *)__pyx_v_result->from_slice.strides); - /* "View.MemoryView":1031 + /* "View.MemoryView":1032 * * * result.view.suboffsets = NULL # <<<<<<<<<<<<<< @@ -11919,7 +12013,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.suboffsets = NULL; - /* "View.MemoryView":1032 + /* "View.MemoryView":1033 * * result.view.suboffsets = NULL * for suboffset in result.from_slice.suboffsets[:ndim]: # <<<<<<<<<<<<<< @@ -11931,7 +12025,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_6 = __pyx_t_8; __pyx_v_suboffset = (__pyx_t_6[0]); - /* "View.MemoryView":1033 + /* "View.MemoryView":1034 * result.view.suboffsets = NULL * for suboffset in result.from_slice.suboffsets[:ndim]: * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -11941,7 +12035,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_1 = ((__pyx_v_suboffset >= 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1034 + /* "View.MemoryView":1035 * for suboffset in result.from_slice.suboffsets[:ndim]: * if suboffset >= 0: * result.view.suboffsets = result.from_slice.suboffsets # <<<<<<<<<<<<<< @@ -11950,7 +12044,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->__pyx_base.view.suboffsets = ((Py_ssize_t *)__pyx_v_result->from_slice.suboffsets); - /* "View.MemoryView":1035 + /* "View.MemoryView":1036 * if suboffset >= 0: * result.view.suboffsets = result.from_slice.suboffsets * break # <<<<<<<<<<<<<< @@ -11959,7 +12053,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ goto __pyx_L6_break; - /* "View.MemoryView":1033 + /* "View.MemoryView":1034 * result.view.suboffsets = NULL * for suboffset in result.from_slice.suboffsets[:ndim]: * if suboffset >= 0: # <<<<<<<<<<<<<< @@ -11970,7 +12064,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl } __pyx_L6_break:; - /* "View.MemoryView":1037 + /* "View.MemoryView":1038 * break * * result.view.len = result.view.itemsize # <<<<<<<<<<<<<< @@ -11980,7 +12074,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_9 = __pyx_v_result->__pyx_base.view.itemsize; __pyx_v_result->__pyx_base.view.len = __pyx_t_9; - /* "View.MemoryView":1038 + /* "View.MemoryView":1039 * * result.view.len = result.view.itemsize * for length in result.view.shape[:ndim]: # <<<<<<<<<<<<<< @@ -11990,29 +12084,29 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_t_7 = (__pyx_v_result->__pyx_base.view.shape + __pyx_v_ndim); for (__pyx_t_8 = __pyx_v_result->__pyx_base.view.shape; __pyx_t_8 < __pyx_t_7; __pyx_t_8++) { __pyx_t_6 = __pyx_t_8; - __pyx_t_2 = PyInt_FromSsize_t((__pyx_t_6[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1038, __pyx_L1_error) + __pyx_t_2 = PyInt_FromSsize_t((__pyx_t_6[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1039, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_XDECREF_SET(__pyx_v_length, __pyx_t_2); __pyx_t_2 = 0; - /* "View.MemoryView":1039 + /* "View.MemoryView":1040 * result.view.len = result.view.itemsize * for length in result.view.shape[:ndim]: * result.view.len *= length # <<<<<<<<<<<<<< * * result.to_object_func = to_object_func */ - __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_result->__pyx_base.view.len); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1039, __pyx_L1_error) + __pyx_t_2 = PyInt_FromSsize_t(__pyx_v_result->__pyx_base.view.len); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1040, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); - __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_t_2, __pyx_v_length); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 1039, __pyx_L1_error) + __pyx_t_3 = PyNumber_InPlaceMultiply(__pyx_t_2, __pyx_v_length); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 1040, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; - __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_3); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 1039, __pyx_L1_error) + __pyx_t_9 = __Pyx_PyIndex_AsSsize_t(__pyx_t_3); if (unlikely((__pyx_t_9 == (Py_ssize_t)-1) && PyErr_Occurred())) __PYX_ERR(1, 1040, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_result->__pyx_base.view.len = __pyx_t_9; } - /* "View.MemoryView":1041 + /* "View.MemoryView":1042 * result.view.len *= length * * result.to_object_func = to_object_func # <<<<<<<<<<<<<< @@ -12021,7 +12115,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->to_object_func = __pyx_v_to_object_func; - /* "View.MemoryView":1042 + /* "View.MemoryView":1043 * * result.to_object_func = to_object_func * result.to_dtype_func = to_dtype_func # <<<<<<<<<<<<<< @@ -12030,7 +12124,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl */ __pyx_v_result->to_dtype_func = __pyx_v_to_dtype_func; - /* "View.MemoryView":1044 + /* "View.MemoryView":1045 * result.to_dtype_func = to_dtype_func * * return result # <<<<<<<<<<<<<< @@ -12042,7 +12136,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl __pyx_r = ((PyObject *)__pyx_v_result); goto __pyx_L0; - /* "View.MemoryView":994 + /* "View.MemoryView":995 * * @cname('__pyx_memoryview_fromslice') * cdef memoryview_fromslice(__Pyx_memviewslice memviewslice, # <<<<<<<<<<<<<< @@ -12064,7 +12158,7 @@ static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice __pyx_v_memviewsl return __pyx_r; } -/* "View.MemoryView":1047 +/* "View.MemoryView":1048 * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< @@ -12081,7 +12175,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p PyObject *__pyx_t_3 = NULL; __Pyx_RefNannySetupContext("get_slice_from_memview", 0); - /* "View.MemoryView":1050 + /* "View.MemoryView":1051 * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -12092,20 +12186,20 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { - /* "View.MemoryView":1051 + /* "View.MemoryView":1052 * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): * obj = memview # <<<<<<<<<<<<<< * return &obj.from_slice * else: */ - if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) __PYX_ERR(1, 1051, __pyx_L1_error) + if (!(likely(((((PyObject *)__pyx_v_memview)) == Py_None) || likely(__Pyx_TypeTest(((PyObject *)__pyx_v_memview), __pyx_memoryviewslice_type))))) __PYX_ERR(1, 1052, __pyx_L1_error) __pyx_t_3 = ((PyObject *)__pyx_v_memview); __Pyx_INCREF(__pyx_t_3); __pyx_v_obj = ((struct __pyx_memoryviewslice_obj *)__pyx_t_3); __pyx_t_3 = 0; - /* "View.MemoryView":1052 + /* "View.MemoryView":1053 * if isinstance(memview, _memoryviewslice): * obj = memview * return &obj.from_slice # <<<<<<<<<<<<<< @@ -12115,7 +12209,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p __pyx_r = (&__pyx_v_obj->from_slice); goto __pyx_L0; - /* "View.MemoryView":1050 + /* "View.MemoryView":1051 * __Pyx_memviewslice *mslice): * cdef _memoryviewslice obj * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -12124,7 +12218,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p */ } - /* "View.MemoryView":1054 + /* "View.MemoryView":1055 * return &obj.from_slice * else: * slice_copy(memview, mslice) # <<<<<<<<<<<<<< @@ -12134,7 +12228,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p /*else*/ { __pyx_memoryview_slice_copy(__pyx_v_memview, __pyx_v_mslice); - /* "View.MemoryView":1055 + /* "View.MemoryView":1056 * else: * slice_copy(memview, mslice) * return mslice # <<<<<<<<<<<<<< @@ -12145,7 +12239,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p goto __pyx_L0; } - /* "View.MemoryView":1047 + /* "View.MemoryView":1048 * * @cname('__pyx_memoryview_get_slice_from_memoryview') * cdef __Pyx_memviewslice *get_slice_from_memview(memoryview memview, # <<<<<<<<<<<<<< @@ -12164,7 +12258,7 @@ static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __p return __pyx_r; } -/* "View.MemoryView":1058 +/* "View.MemoryView":1059 * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< @@ -12185,7 +12279,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem Py_ssize_t __pyx_t_5; __Pyx_RefNannySetupContext("slice_copy", 0); - /* "View.MemoryView":1062 + /* "View.MemoryView":1063 * cdef (Py_ssize_t*) shape, strides, suboffsets * * shape = memview.view.shape # <<<<<<<<<<<<<< @@ -12195,7 +12289,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_t_1 = __pyx_v_memview->view.shape; __pyx_v_shape = __pyx_t_1; - /* "View.MemoryView":1063 + /* "View.MemoryView":1064 * * shape = memview.view.shape * strides = memview.view.strides # <<<<<<<<<<<<<< @@ -12205,7 +12299,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_t_1 = __pyx_v_memview->view.strides; __pyx_v_strides = __pyx_t_1; - /* "View.MemoryView":1064 + /* "View.MemoryView":1065 * shape = memview.view.shape * strides = memview.view.strides * suboffsets = memview.view.suboffsets # <<<<<<<<<<<<<< @@ -12215,7 +12309,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __pyx_t_1 = __pyx_v_memview->view.suboffsets; __pyx_v_suboffsets = __pyx_t_1; - /* "View.MemoryView":1066 + /* "View.MemoryView":1067 * suboffsets = memview.view.suboffsets * * dst.memview = <__pyx_memoryview *> memview # <<<<<<<<<<<<<< @@ -12224,7 +12318,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ __pyx_v_dst->memview = ((struct __pyx_memoryview_obj *)__pyx_v_memview); - /* "View.MemoryView":1067 + /* "View.MemoryView":1068 * * dst.memview = <__pyx_memoryview *> memview * dst.data = memview.view.buf # <<<<<<<<<<<<<< @@ -12233,7 +12327,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ __pyx_v_dst->data = ((char *)__pyx_v_memview->view.buf); - /* "View.MemoryView":1069 + /* "View.MemoryView":1070 * dst.data = memview.view.buf * * for dim in range(memview.view.ndim): # <<<<<<<<<<<<<< @@ -12245,7 +12339,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_dim = __pyx_t_4; - /* "View.MemoryView":1070 + /* "View.MemoryView":1071 * * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] # <<<<<<<<<<<<<< @@ -12254,7 +12348,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ (__pyx_v_dst->shape[__pyx_v_dim]) = (__pyx_v_shape[__pyx_v_dim]); - /* "View.MemoryView":1071 + /* "View.MemoryView":1072 * for dim in range(memview.view.ndim): * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] # <<<<<<<<<<<<<< @@ -12263,7 +12357,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem */ (__pyx_v_dst->strides[__pyx_v_dim]) = (__pyx_v_strides[__pyx_v_dim]); - /* "View.MemoryView":1072 + /* "View.MemoryView":1073 * dst.shape[dim] = shape[dim] * dst.strides[dim] = strides[dim] * dst.suboffsets[dim] = suboffsets[dim] if suboffsets else -1 # <<<<<<<<<<<<<< @@ -12278,7 +12372,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem (__pyx_v_dst->suboffsets[__pyx_v_dim]) = __pyx_t_5; } - /* "View.MemoryView":1058 + /* "View.MemoryView":1059 * * @cname('__pyx_memoryview_slice_copy') * cdef void slice_copy(memoryview memview, __Pyx_memviewslice *dst): # <<<<<<<<<<<<<< @@ -12290,7 +12384,7 @@ static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *__pyx_v_mem __Pyx_RefNannyFinishContext(); } -/* "View.MemoryView":1075 +/* "View.MemoryView":1076 * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< @@ -12305,7 +12399,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx PyObject *__pyx_t_1 = NULL; __Pyx_RefNannySetupContext("memoryview_copy", 0); - /* "View.MemoryView":1078 + /* "View.MemoryView":1079 * "Create a new memoryview object" * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) # <<<<<<<<<<<<<< @@ -12314,7 +12408,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx */ __pyx_memoryview_slice_copy(__pyx_v_memview, (&__pyx_v_memviewslice)); - /* "View.MemoryView":1079 + /* "View.MemoryView":1080 * cdef __Pyx_memviewslice memviewslice * slice_copy(memview, &memviewslice) * return memoryview_copy_from_slice(memview, &memviewslice) # <<<<<<<<<<<<<< @@ -12322,13 +12416,13 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx * @cname('__pyx_memoryview_copy_object_from_slice') */ __Pyx_XDECREF(__pyx_r); - __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 1079, __pyx_L1_error) + __pyx_t_1 = __pyx_memoryview_copy_object_from_slice(__pyx_v_memview, (&__pyx_v_memviewslice)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 1080, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; - /* "View.MemoryView":1075 + /* "View.MemoryView":1076 * * @cname('__pyx_memoryview_copy_object') * cdef memoryview_copy(memoryview memview): # <<<<<<<<<<<<<< @@ -12347,7 +12441,7 @@ static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *__pyx return __pyx_r; } -/* "View.MemoryView":1082 +/* "View.MemoryView":1083 * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< @@ -12367,7 +12461,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview PyObject *__pyx_t_5 = NULL; __Pyx_RefNannySetupContext("memoryview_copy_from_slice", 0); - /* "View.MemoryView":1089 + /* "View.MemoryView":1090 * cdef int (*to_dtype_func)(char *, object) except 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -12378,7 +12472,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview __pyx_t_2 = (__pyx_t_1 != 0); if (__pyx_t_2) { - /* "View.MemoryView":1090 + /* "View.MemoryView":1091 * * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func # <<<<<<<<<<<<<< @@ -12388,7 +12482,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview __pyx_t_3 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_object_func; __pyx_v_to_object_func = __pyx_t_3; - /* "View.MemoryView":1091 + /* "View.MemoryView":1092 * if isinstance(memview, _memoryviewslice): * to_object_func = (<_memoryviewslice> memview).to_object_func * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func # <<<<<<<<<<<<<< @@ -12398,7 +12492,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview __pyx_t_4 = ((struct __pyx_memoryviewslice_obj *)__pyx_v_memview)->to_dtype_func; __pyx_v_to_dtype_func = __pyx_t_4; - /* "View.MemoryView":1089 + /* "View.MemoryView":1090 * cdef int (*to_dtype_func)(char *, object) except 0 * * if isinstance(memview, _memoryviewslice): # <<<<<<<<<<<<<< @@ -12408,7 +12502,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview goto __pyx_L3; } - /* "View.MemoryView":1093 + /* "View.MemoryView":1094 * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func * else: * to_object_func = NULL # <<<<<<<<<<<<<< @@ -12418,7 +12512,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview /*else*/ { __pyx_v_to_object_func = NULL; - /* "View.MemoryView":1094 + /* "View.MemoryView":1095 * else: * to_object_func = NULL * to_dtype_func = NULL # <<<<<<<<<<<<<< @@ -12429,7 +12523,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview } __pyx_L3:; - /* "View.MemoryView":1096 + /* "View.MemoryView":1097 * to_dtype_func = NULL * * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<< @@ -12438,20 +12532,20 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview */ __Pyx_XDECREF(__pyx_r); - /* "View.MemoryView":1098 + /* "View.MemoryView":1099 * return memoryview_fromslice(memviewslice[0], memview.view.ndim, * to_object_func, to_dtype_func, * memview.dtype_is_object) # <<<<<<<<<<<<<< * * */ - __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 1096, __pyx_L1_error) + __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 1097, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __pyx_r = __pyx_t_5; __pyx_t_5 = 0; goto __pyx_L0; - /* "View.MemoryView":1082 + /* "View.MemoryView":1083 * * @cname('__pyx_memoryview_copy_object_from_slice') * cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<< @@ -12470,7 +12564,7 @@ static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview return __pyx_r; } -/* "View.MemoryView":1104 +/* "View.MemoryView":1105 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< @@ -12482,7 +12576,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { Py_ssize_t __pyx_r; int __pyx_t_1; - /* "View.MemoryView":1105 + /* "View.MemoryView":1106 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< @@ -12492,7 +12586,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { __pyx_t_1 = ((__pyx_v_arg < 0) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1106 + /* "View.MemoryView":1107 * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: * return -arg # <<<<<<<<<<<<<< @@ -12502,7 +12596,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { __pyx_r = (-__pyx_v_arg); goto __pyx_L0; - /* "View.MemoryView":1105 + /* "View.MemoryView":1106 * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: * if arg < 0: # <<<<<<<<<<<<<< @@ -12511,7 +12605,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { */ } - /* "View.MemoryView":1108 + /* "View.MemoryView":1109 * return -arg * else: * return arg # <<<<<<<<<<<<<< @@ -12523,7 +12617,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { goto __pyx_L0; } - /* "View.MemoryView":1104 + /* "View.MemoryView":1105 * * * cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<< @@ -12536,7 +12630,7 @@ static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) { return __pyx_r; } -/* "View.MemoryView":1111 +/* "View.MemoryView":1112 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< @@ -12554,7 +12648,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ int __pyx_t_3; int __pyx_t_4; - /* "View.MemoryView":1116 + /* "View.MemoryView":1117 * """ * cdef int i * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<< @@ -12563,7 +12657,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_c_stride = 0; - /* "View.MemoryView":1117 + /* "View.MemoryView":1118 * cdef int i * cdef Py_ssize_t c_stride = 0 * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<< @@ -12572,7 +12666,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_f_stride = 0; - /* "View.MemoryView":1119 + /* "View.MemoryView":1120 * cdef Py_ssize_t f_stride = 0 * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< @@ -12582,7 +12676,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; - /* "View.MemoryView":1120 + /* "View.MemoryView":1121 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -12592,7 +12686,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1121 + /* "View.MemoryView":1122 * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] # <<<<<<<<<<<<<< @@ -12601,7 +12695,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]); - /* "View.MemoryView":1122 + /* "View.MemoryView":1123 * if mslice.shape[i] > 1: * c_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< @@ -12610,7 +12704,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ goto __pyx_L4_break; - /* "View.MemoryView":1120 + /* "View.MemoryView":1121 * * for i in range(ndim - 1, -1, -1): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -12621,7 +12715,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ } __pyx_L4_break:; - /* "View.MemoryView":1124 + /* "View.MemoryView":1125 * break * * for i in range(ndim): # <<<<<<<<<<<<<< @@ -12633,7 +12727,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; - /* "View.MemoryView":1125 + /* "View.MemoryView":1126 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -12643,7 +12737,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1126 + /* "View.MemoryView":1127 * for i in range(ndim): * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] # <<<<<<<<<<<<<< @@ -12652,7 +12746,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]); - /* "View.MemoryView":1127 + /* "View.MemoryView":1128 * if mslice.shape[i] > 1: * f_stride = mslice.strides[i] * break # <<<<<<<<<<<<<< @@ -12661,7 +12755,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ goto __pyx_L7_break; - /* "View.MemoryView":1125 + /* "View.MemoryView":1126 * * for i in range(ndim): * if mslice.shape[i] > 1: # <<<<<<<<<<<<<< @@ -12672,7 +12766,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ } __pyx_L7_break:; - /* "View.MemoryView":1129 + /* "View.MemoryView":1130 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< @@ -12682,7 +12776,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1130 + /* "View.MemoryView":1131 * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): * return 'C' # <<<<<<<<<<<<<< @@ -12692,7 +12786,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ __pyx_r = 'C'; goto __pyx_L0; - /* "View.MemoryView":1129 + /* "View.MemoryView":1130 * break * * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<< @@ -12701,7 +12795,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ */ } - /* "View.MemoryView":1132 + /* "View.MemoryView":1133 * return 'C' * else: * return 'F' # <<<<<<<<<<<<<< @@ -12713,7 +12807,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ goto __pyx_L0; } - /* "View.MemoryView":1111 + /* "View.MemoryView":1112 * * @cname('__pyx_get_best_slice_order') * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<< @@ -12726,7 +12820,7 @@ static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int _ return __pyx_r; } -/* "View.MemoryView":1135 +/* "View.MemoryView":1136 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< @@ -12747,7 +12841,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v Py_ssize_t __pyx_t_5; Py_ssize_t __pyx_t_6; - /* "View.MemoryView":1142 + /* "View.MemoryView":1143 * * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<< @@ -12756,7 +12850,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_extent = (__pyx_v_src_shape[0]); - /* "View.MemoryView":1143 + /* "View.MemoryView":1144 * cdef Py_ssize_t i * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<< @@ -12765,7 +12859,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_dst_extent = (__pyx_v_dst_shape[0]); - /* "View.MemoryView":1144 + /* "View.MemoryView":1145 * cdef Py_ssize_t src_extent = src_shape[0] * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<< @@ -12774,7 +12868,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_stride = (__pyx_v_src_strides[0]); - /* "View.MemoryView":1145 + /* "View.MemoryView":1146 * cdef Py_ssize_t dst_extent = dst_shape[0] * cdef Py_ssize_t src_stride = src_strides[0] * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<< @@ -12783,7 +12877,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_dst_stride = (__pyx_v_dst_strides[0]); - /* "View.MemoryView":1147 + /* "View.MemoryView":1148 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< @@ -12793,7 +12887,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1148 + /* "View.MemoryView":1149 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< @@ -12813,7 +12907,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v goto __pyx_L5_bool_binop_done; } - /* "View.MemoryView":1149 + /* "View.MemoryView":1150 * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<< @@ -12828,7 +12922,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v __pyx_t_1 = __pyx_t_3; __pyx_L5_bool_binop_done:; - /* "View.MemoryView":1148 + /* "View.MemoryView":1149 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< @@ -12837,7 +12931,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ if (__pyx_t_1) { - /* "View.MemoryView":1150 + /* "View.MemoryView":1151 * if (src_stride > 0 and dst_stride > 0 and * src_stride == itemsize == dst_stride): * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<< @@ -12846,7 +12940,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent))); - /* "View.MemoryView":1148 + /* "View.MemoryView":1149 * * if ndim == 1: * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<< @@ -12856,7 +12950,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v goto __pyx_L4; } - /* "View.MemoryView":1152 + /* "View.MemoryView":1153 * memcpy(dst_data, src_data, itemsize * dst_extent) * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< @@ -12869,7 +12963,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "View.MemoryView":1153 + /* "View.MemoryView":1154 * else: * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<< @@ -12878,7 +12972,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize)); - /* "View.MemoryView":1154 + /* "View.MemoryView":1155 * for i in range(dst_extent): * memcpy(dst_data, src_data, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< @@ -12887,7 +12981,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); - /* "View.MemoryView":1155 + /* "View.MemoryView":1156 * memcpy(dst_data, src_data, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< @@ -12899,7 +12993,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v } __pyx_L4:; - /* "View.MemoryView":1147 + /* "View.MemoryView":1148 * cdef Py_ssize_t dst_stride = dst_strides[0] * * if ndim == 1: # <<<<<<<<<<<<<< @@ -12909,7 +13003,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v goto __pyx_L3; } - /* "View.MemoryView":1157 + /* "View.MemoryView":1158 * dst_data += dst_stride * else: * for i in range(dst_extent): # <<<<<<<<<<<<<< @@ -12922,7 +13016,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "View.MemoryView":1158 + /* "View.MemoryView":1159 * else: * for i in range(dst_extent): * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<< @@ -12931,7 +13025,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize); - /* "View.MemoryView":1162 + /* "View.MemoryView":1163 * src_shape + 1, dst_shape + 1, * ndim - 1, itemsize) * src_data += src_stride # <<<<<<<<<<<<<< @@ -12940,7 +13034,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v */ __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride); - /* "View.MemoryView":1163 + /* "View.MemoryView":1164 * ndim - 1, itemsize) * src_data += src_stride * dst_data += dst_stride # <<<<<<<<<<<<<< @@ -12952,7 +13046,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v } __pyx_L3:; - /* "View.MemoryView":1135 + /* "View.MemoryView":1136 * * @cython.cdivision(True) * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<< @@ -12963,7 +13057,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v /* function exit code */ } -/* "View.MemoryView":1165 +/* "View.MemoryView":1166 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< @@ -12973,7 +13067,7 @@ static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) { - /* "View.MemoryView":1168 + /* "View.MemoryView":1169 * __Pyx_memviewslice *dst, * int ndim, size_t itemsize) nogil: * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<< @@ -12982,7 +13076,7 @@ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memvi */ _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize); - /* "View.MemoryView":1165 + /* "View.MemoryView":1166 * dst_data += dst_stride * * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< @@ -12993,7 +13087,7 @@ static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memvi /* function exit code */ } -/* "View.MemoryView":1172 +/* "View.MemoryView":1173 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< @@ -13010,7 +13104,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr int __pyx_t_3; int __pyx_t_4; - /* "View.MemoryView":1175 + /* "View.MemoryView":1176 * "Return the size of the memory occupied by the slice in number of bytes" * cdef int i * cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<< @@ -13020,7 +13114,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_size = __pyx_t_1; - /* "View.MemoryView":1177 + /* "View.MemoryView":1178 * cdef Py_ssize_t size = src.memview.view.itemsize * * for i in range(ndim): # <<<<<<<<<<<<<< @@ -13032,7 +13126,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; - /* "View.MemoryView":1178 + /* "View.MemoryView":1179 * * for i in range(ndim): * size *= src.shape[i] # <<<<<<<<<<<<<< @@ -13042,7 +13136,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i])); } - /* "View.MemoryView":1180 + /* "View.MemoryView":1181 * size *= src.shape[i] * * return size # <<<<<<<<<<<<<< @@ -13052,7 +13146,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr __pyx_r = __pyx_v_size; goto __pyx_L0; - /* "View.MemoryView":1172 + /* "View.MemoryView":1173 * * @cname('__pyx_memoryview_slice_get_size') * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<< @@ -13065,7 +13159,7 @@ static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_sr return __pyx_r; } -/* "View.MemoryView":1183 +/* "View.MemoryView":1184 * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< @@ -13081,7 +13175,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ int __pyx_t_3; int __pyx_t_4; - /* "View.MemoryView":1192 + /* "View.MemoryView":1193 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< @@ -13091,7 +13185,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ __pyx_t_1 = ((__pyx_v_order == 'F') != 0); if (__pyx_t_1) { - /* "View.MemoryView":1193 + /* "View.MemoryView":1194 * * if order == 'F': * for idx in range(ndim): # <<<<<<<<<<<<<< @@ -13103,7 +13197,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_idx = __pyx_t_4; - /* "View.MemoryView":1194 + /* "View.MemoryView":1195 * if order == 'F': * for idx in range(ndim): * strides[idx] = stride # <<<<<<<<<<<<<< @@ -13112,7 +13206,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; - /* "View.MemoryView":1195 + /* "View.MemoryView":1196 * for idx in range(ndim): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< @@ -13122,7 +13216,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx])); } - /* "View.MemoryView":1192 + /* "View.MemoryView":1193 * cdef int idx * * if order == 'F': # <<<<<<<<<<<<<< @@ -13132,7 +13226,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ goto __pyx_L3; } - /* "View.MemoryView":1197 + /* "View.MemoryView":1198 * stride = stride * shape[idx] * else: * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< @@ -13143,7 +13237,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) { __pyx_v_idx = __pyx_t_2; - /* "View.MemoryView":1198 + /* "View.MemoryView":1199 * else: * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride # <<<<<<<<<<<<<< @@ -13152,7 +13246,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ */ (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride; - /* "View.MemoryView":1199 + /* "View.MemoryView":1200 * for idx in range(ndim - 1, -1, -1): * strides[idx] = stride * stride = stride * shape[idx] # <<<<<<<<<<<<<< @@ -13164,7 +13258,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ } __pyx_L3:; - /* "View.MemoryView":1201 + /* "View.MemoryView":1202 * stride = stride * shape[idx] * * return stride # <<<<<<<<<<<<<< @@ -13174,7 +13268,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ __pyx_r = __pyx_v_stride; goto __pyx_L0; - /* "View.MemoryView":1183 + /* "View.MemoryView":1184 * * @cname('__pyx_fill_contig_strides_array') * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<< @@ -13187,7 +13281,7 @@ static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ return __pyx_r; } -/* "View.MemoryView":1204 +/* "View.MemoryView":1205 * * @cname('__pyx_memoryview_copy_data_to_temp') * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< @@ -13208,7 +13302,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, int __pyx_t_5; int __pyx_t_6; - /* "View.MemoryView":1215 + /* "View.MemoryView":1216 * cdef void *result * * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<< @@ -13218,7 +13312,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_t_1 = __pyx_v_src->memview->view.itemsize; __pyx_v_itemsize = __pyx_t_1; - /* "View.MemoryView":1216 + /* "View.MemoryView":1217 * * cdef size_t itemsize = src.memview.view.itemsize * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<< @@ -13227,7 +13321,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim); - /* "View.MemoryView":1218 + /* "View.MemoryView":1219 * cdef size_t size = slice_get_size(src, ndim) * * result = malloc(size) # <<<<<<<<<<<<<< @@ -13236,7 +13330,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ __pyx_v_result = malloc(__pyx_v_size); - /* "View.MemoryView":1219 + /* "View.MemoryView":1220 * * result = malloc(size) * if not result: # <<<<<<<<<<<<<< @@ -13246,16 +13340,16 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_t_2 = ((!(__pyx_v_result != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1220 + /* "View.MemoryView":1221 * result = malloc(size) * if not result: * _err(MemoryError, NULL) # <<<<<<<<<<<<<< * * */ - __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 1220, __pyx_L1_error) + __pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(1, 1221, __pyx_L1_error) - /* "View.MemoryView":1219 + /* "View.MemoryView":1220 * * result = malloc(size) * if not result: # <<<<<<<<<<<<<< @@ -13264,7 +13358,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ } - /* "View.MemoryView":1223 + /* "View.MemoryView":1224 * * * tmpslice.data = result # <<<<<<<<<<<<<< @@ -13273,7 +13367,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ __pyx_v_tmpslice->data = ((char *)__pyx_v_result); - /* "View.MemoryView":1224 + /* "View.MemoryView":1225 * * tmpslice.data = result * tmpslice.memview = src.memview # <<<<<<<<<<<<<< @@ -13283,7 +13377,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_t_4 = __pyx_v_src->memview; __pyx_v_tmpslice->memview = __pyx_t_4; - /* "View.MemoryView":1225 + /* "View.MemoryView":1226 * tmpslice.data = result * tmpslice.memview = src.memview * for i in range(ndim): # <<<<<<<<<<<<<< @@ -13295,7 +13389,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "View.MemoryView":1226 + /* "View.MemoryView":1227 * tmpslice.memview = src.memview * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<< @@ -13304,7 +13398,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ (__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]); - /* "View.MemoryView":1227 + /* "View.MemoryView":1228 * for i in range(ndim): * tmpslice.shape[i] = src.shape[i] * tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< @@ -13314,7 +13408,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, (__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L; } - /* "View.MemoryView":1229 + /* "View.MemoryView":1230 * tmpslice.suboffsets[i] = -1 * * fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, # <<<<<<<<<<<<<< @@ -13323,7 +13417,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ (void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order)); - /* "View.MemoryView":1233 + /* "View.MemoryView":1234 * * * for i in range(ndim): # <<<<<<<<<<<<<< @@ -13335,7 +13429,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "View.MemoryView":1234 + /* "View.MemoryView":1235 * * for i in range(ndim): * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< @@ -13345,7 +13439,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1235 + /* "View.MemoryView":1236 * for i in range(ndim): * if tmpslice.shape[i] == 1: * tmpslice.strides[i] = 0 # <<<<<<<<<<<<<< @@ -13354,7 +13448,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ (__pyx_v_tmpslice->strides[__pyx_v_i]) = 0; - /* "View.MemoryView":1234 + /* "View.MemoryView":1235 * * for i in range(ndim): * if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<< @@ -13364,7 +13458,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, } } - /* "View.MemoryView":1237 + /* "View.MemoryView":1238 * tmpslice.strides[i] = 0 * * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< @@ -13374,7 +13468,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_t_2 = (__pyx_memviewslice_is_contig((__pyx_v_src[0]), __pyx_v_order, __pyx_v_ndim) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1238 + /* "View.MemoryView":1239 * * if slice_is_contig(src[0], order, ndim): * memcpy(result, src.data, size) # <<<<<<<<<<<<<< @@ -13383,7 +13477,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, */ (void)(memcpy(__pyx_v_result, __pyx_v_src->data, __pyx_v_size)); - /* "View.MemoryView":1237 + /* "View.MemoryView":1238 * tmpslice.strides[i] = 0 * * if slice_is_contig(src[0], order, ndim): # <<<<<<<<<<<<<< @@ -13393,7 +13487,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, goto __pyx_L9; } - /* "View.MemoryView":1240 + /* "View.MemoryView":1241 * memcpy(result, src.data, size) * else: * copy_strided_to_strided(src, tmpslice, ndim, itemsize) # <<<<<<<<<<<<<< @@ -13405,7 +13499,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, } __pyx_L9:; - /* "View.MemoryView":1242 + /* "View.MemoryView":1243 * copy_strided_to_strided(src, tmpslice, ndim, itemsize) * * return result # <<<<<<<<<<<<<< @@ -13415,7 +13509,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __pyx_r = __pyx_v_result; goto __pyx_L0; - /* "View.MemoryView":1204 + /* "View.MemoryView":1205 * * @cname('__pyx_memoryview_copy_data_to_temp') * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<< @@ -13439,7 +13533,7 @@ static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, return __pyx_r; 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- /* "View.MemoryView":1285 + /* "View.MemoryView":1286 * broadcast_leading(&dst, dst_ndim, src_ndim) * * cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<< @@ -13923,7 +13953,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ } __pyx_v_ndim = __pyx_t_5; - /* "View.MemoryView":1287 + /* "View.MemoryView":1288 * cdef int ndim = max(src_ndim, dst_ndim) * * for i in range(ndim): # <<<<<<<<<<<<<< @@ -13935,7 +13965,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; - /* "View.MemoryView":1288 + /* "View.MemoryView":1289 * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< @@ -13945,7 +13975,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1289 + /* "View.MemoryView":1290 * for i in range(ndim): * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: # <<<<<<<<<<<<<< @@ -13955,7 +13985,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1290 + /* "View.MemoryView":1291 * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: * broadcasting = True # <<<<<<<<<<<<<< @@ -13964,7 +13994,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_broadcasting = 1; - /* "View.MemoryView":1291 + /* "View.MemoryView":1292 * if src.shape[i] == 1: * broadcasting = True * src.strides[i] = 0 # <<<<<<<<<<<<<< @@ -13973,7 +14003,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ (__pyx_v_src.strides[__pyx_v_i]) = 0; - /* "View.MemoryView":1289 + /* "View.MemoryView":1290 * for i in range(ndim): * if src.shape[i] != dst.shape[i]: * if src.shape[i] == 1: # <<<<<<<<<<<<<< @@ -13983,7 +14013,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ goto __pyx_L7; } - /* "View.MemoryView":1293 + /* "View.MemoryView":1294 * src.strides[i] = 0 * else: * _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<< @@ -13991,11 +14021,11 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ * if src.suboffsets[i] >= 0: */ /*else*/ { - __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1293, __pyx_L1_error) + __pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1294, __pyx_L1_error) } __pyx_L7:; - /* "View.MemoryView":1288 + /* "View.MemoryView":1289 * * for i in range(ndim): * if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<< @@ -14004,7 +14034,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1295 + /* "View.MemoryView":1296 * _err_extents(i, dst.shape[i], src.shape[i]) * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< @@ -14014,16 +14044,16 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1296 + /* "View.MemoryView":1297 * * if src.suboffsets[i] >= 0: * _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<< * * if slices_overlap(&src, &dst, ndim, itemsize): */ - __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1296, __pyx_L1_error) + __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1297, __pyx_L1_error) - /* "View.MemoryView":1295 + /* "View.MemoryView":1296 * _err_extents(i, dst.shape[i], src.shape[i]) * * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<< @@ -14033,7 +14063,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ } } - /* "View.MemoryView":1298 + /* "View.MemoryView":1299 * _err_dim(ValueError, "Dimension %d is not direct", i) * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< @@ -14043,7 +14073,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1300 + /* "View.MemoryView":1301 * if slices_overlap(&src, &dst, ndim, itemsize): * * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< @@ -14053,7 +14083,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1301 + /* "View.MemoryView":1302 * * if not slice_is_contig(src, order, ndim): * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<< @@ -14062,7 +14092,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim); - /* "View.MemoryView":1300 + /* "View.MemoryView":1301 * if slices_overlap(&src, &dst, ndim, itemsize): * * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<< @@ -14071,17 +14101,17 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1303 + /* "View.MemoryView":1304 * order = get_best_order(&dst, ndim) * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<< * src = tmp * */ - __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1303, __pyx_L1_error) + __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1304, __pyx_L1_error) __pyx_v_tmpdata = __pyx_t_7; - /* "View.MemoryView":1304 + /* "View.MemoryView":1305 * * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) * src = tmp # <<<<<<<<<<<<<< @@ -14090,7 +14120,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_src = __pyx_v_tmp; - /* "View.MemoryView":1298 + /* "View.MemoryView":1299 * _err_dim(ValueError, "Dimension %d is not direct", i) * * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<< @@ -14099,7 +14129,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1306 + /* "View.MemoryView":1307 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< @@ -14109,7 +14139,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1309 + /* "View.MemoryView":1310 * * * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< @@ -14119,7 +14149,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1310 + /* "View.MemoryView":1311 * * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<< @@ -14128,7 +14158,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim); - /* "View.MemoryView":1309 + /* "View.MemoryView":1310 * * * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<< @@ -14138,7 +14168,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ goto __pyx_L12; } - /* "View.MemoryView":1311 + /* "View.MemoryView":1312 * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< @@ -14148,7 +14178,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0); if (__pyx_t_2) { - /* "View.MemoryView":1312 + /* "View.MemoryView":1313 * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): * direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<< @@ -14157,7 +14187,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim); - /* "View.MemoryView":1311 + /* "View.MemoryView":1312 * if slice_is_contig(src, 'C', ndim): * direct_copy = slice_is_contig(dst, 'C', ndim) * elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<< @@ -14167,7 +14197,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ } __pyx_L12:; - /* "View.MemoryView":1314 + /* "View.MemoryView":1315 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< @@ -14177,7 +14207,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_2 = (__pyx_v_direct_copy != 0); if (__pyx_t_2) { - /* "View.MemoryView":1316 + /* "View.MemoryView":1317 * if direct_copy: * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< @@ -14186,7 +14216,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - /* "View.MemoryView":1317 + /* "View.MemoryView":1318 * * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<< @@ -14195,7 +14225,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ (void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim))); - /* "View.MemoryView":1318 + /* "View.MemoryView":1319 * refcount_copying(&dst, dtype_is_object, ndim, False) * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< @@ -14204,7 +14234,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - /* "View.MemoryView":1319 + /* "View.MemoryView":1320 * memcpy(dst.data, src.data, slice_get_size(&src, ndim)) * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) # <<<<<<<<<<<<<< @@ -14213,7 +14243,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ free(__pyx_v_tmpdata); - /* "View.MemoryView":1320 + /* "View.MemoryView":1321 * refcount_copying(&dst, dtype_is_object, ndim, True) * free(tmpdata) * return 0 # <<<<<<<<<<<<<< @@ -14223,7 +14253,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_r = 0; goto __pyx_L0; - /* "View.MemoryView":1314 + /* "View.MemoryView":1315 * direct_copy = slice_is_contig(dst, 'F', ndim) * * if direct_copy: # <<<<<<<<<<<<<< @@ -14232,7 +14262,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1306 + /* "View.MemoryView":1307 * src = tmp * * if not broadcasting: # <<<<<<<<<<<<<< @@ -14241,7 +14271,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1322 + /* "View.MemoryView":1323 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< @@ -14255,25 +14285,25 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_t_8 = (__pyx_t_2 != 0); if (__pyx_t_8) { - /* "View.MemoryView":1325 + /* "View.MemoryView":1326 * * * transpose_memslice(&src) # <<<<<<<<<<<<<< * transpose_memslice(&dst) * */ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1325, __pyx_L1_error) + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1326, __pyx_L1_error) - /* "View.MemoryView":1326 + /* "View.MemoryView":1327 * * transpose_memslice(&src) * transpose_memslice(&dst) # <<<<<<<<<<<<<< * * refcount_copying(&dst, dtype_is_object, ndim, False) */ - __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1326, __pyx_L1_error) + __pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 1327, __pyx_L1_error) - /* "View.MemoryView":1322 + /* "View.MemoryView":1323 * return 0 * * if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<< @@ -14282,7 +14312,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ } - /* "View.MemoryView":1328 + /* "View.MemoryView":1329 * transpose_memslice(&dst) * * refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< @@ -14291,7 +14321,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - /* "View.MemoryView":1329 + /* "View.MemoryView":1330 * * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<< @@ -14300,7 +14330,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize); - /* "View.MemoryView":1330 + /* "View.MemoryView":1331 * refcount_copying(&dst, dtype_is_object, ndim, False) * copy_strided_to_strided(&src, &dst, ndim, itemsize) * refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< @@ -14309,7 +14339,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ __pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - /* "View.MemoryView":1332 + /* "View.MemoryView":1333 * refcount_copying(&dst, dtype_is_object, ndim, True) * * free(tmpdata) # <<<<<<<<<<<<<< @@ -14318,7 +14348,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ */ free(__pyx_v_tmpdata); - /* "View.MemoryView":1333 + /* "View.MemoryView":1334 * * free(tmpdata) * return 0 # <<<<<<<<<<<<<< @@ -14328,7 +14358,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ __pyx_r = 0; goto __pyx_L0; - /* "View.MemoryView":1264 + /* "View.MemoryView":1265 * * @cname('__pyx_memoryview_copy_contents') * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<< @@ -14352,7 +14382,7 @@ static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_ return __pyx_r; } -/* "View.MemoryView":1336 +/* "View.MemoryView":1337 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< @@ -14367,7 +14397,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic int __pyx_t_2; int __pyx_t_3; - /* "View.MemoryView":1340 + /* "View.MemoryView":1341 * int ndim_other) nogil: * cdef int i * cdef int offset = ndim_other - ndim # <<<<<<<<<<<<<< @@ -14376,7 +14406,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ __pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim); - /* "View.MemoryView":1342 + /* "View.MemoryView":1343 * cdef int offset = ndim_other - ndim * * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<< @@ -14386,7 +14416,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) { __pyx_v_i = __pyx_t_1; - /* "View.MemoryView":1343 + /* "View.MemoryView":1344 * * for i in range(ndim - 1, -1, -1): * mslice.shape[i + offset] = mslice.shape[i] # <<<<<<<<<<<<<< @@ -14395,7 +14425,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]); - /* "View.MemoryView":1344 + /* "View.MemoryView":1345 * for i in range(ndim - 1, -1, -1): * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<< @@ -14404,7 +14434,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]); - /* "View.MemoryView":1345 + /* "View.MemoryView":1346 * mslice.shape[i + offset] = mslice.shape[i] * mslice.strides[i + offset] = mslice.strides[i] * mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<< @@ -14414,7 +14444,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic (__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]); } - /* "View.MemoryView":1347 + /* "View.MemoryView":1348 * mslice.suboffsets[i + offset] = mslice.suboffsets[i] * * for i in range(offset): # <<<<<<<<<<<<<< @@ -14426,7 +14456,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; - /* "View.MemoryView":1348 + /* "View.MemoryView":1349 * * for i in range(offset): * mslice.shape[i] = 1 # <<<<<<<<<<<<<< @@ -14435,7 +14465,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->shape[__pyx_v_i]) = 1; - /* "View.MemoryView":1349 + /* "View.MemoryView":1350 * for i in range(offset): * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<< @@ -14444,7 +14474,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic */ (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]); - /* "View.MemoryView":1350 + /* "View.MemoryView":1351 * mslice.shape[i] = 1 * mslice.strides[i] = mslice.strides[0] * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<< @@ -14454,7 +14484,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L; } - /* "View.MemoryView":1336 + /* "View.MemoryView":1337 * * @cname('__pyx_memoryview_broadcast_leading') * cdef void broadcast_leading(__Pyx_memviewslice *mslice, # <<<<<<<<<<<<<< @@ -14465,7 +14495,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic /* function exit code */ } -/* "View.MemoryView":1358 +/* "View.MemoryView":1359 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< @@ -14476,7 +14506,7 @@ static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *__pyx_v_mslic static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) { int __pyx_t_1; - /* "View.MemoryView":1362 + /* "View.MemoryView":1363 * * * if dtype_is_object: # <<<<<<<<<<<<<< @@ -14486,7 +14516,7 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i __pyx_t_1 = (__pyx_v_dtype_is_object != 0); if (__pyx_t_1) { - /* "View.MemoryView":1363 + /* "View.MemoryView":1364 * * if dtype_is_object: * refcount_objects_in_slice_with_gil(dst.data, dst.shape, # <<<<<<<<<<<<<< @@ -14495,7 +14525,7 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i */ __pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc); - /* "View.MemoryView":1362 + /* "View.MemoryView":1363 * * * if dtype_is_object: # <<<<<<<<<<<<<< @@ -14504,7 +14534,7 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i */ } - /* "View.MemoryView":1358 + /* "View.MemoryView":1359 * * @cname('__pyx_memoryview_refcount_copying') * cdef void refcount_copying(__Pyx_memviewslice *dst, bint dtype_is_object, # <<<<<<<<<<<<<< @@ -14515,7 +14545,7 @@ static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, i /* function exit code */ } -/* "View.MemoryView":1367 +/* "View.MemoryView":1368 * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< @@ -14530,7 +14560,7 @@ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_da #endif __Pyx_RefNannySetupContext("refcount_objects_in_slice_with_gil", 0); - /* "View.MemoryView":1370 + /* "View.MemoryView":1371 * Py_ssize_t *strides, int ndim, * bint inc) with gil: * refcount_objects_in_slice(data, shape, strides, ndim, inc) # <<<<<<<<<<<<<< @@ -14539,7 +14569,7 @@ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_da */ __pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc); - /* "View.MemoryView":1367 + /* "View.MemoryView":1368 * * @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil') * cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< @@ -14554,7 +14584,7 @@ static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_da #endif } -/* "View.MemoryView":1373 +/* "View.MemoryView":1374 * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< @@ -14571,7 +14601,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss int __pyx_t_4; __Pyx_RefNannySetupContext("refcount_objects_in_slice", 0); - /* "View.MemoryView":1377 + /* "View.MemoryView":1378 * cdef Py_ssize_t i * * for i in range(shape[0]): # <<<<<<<<<<<<<< @@ -14583,7 +14613,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) { __pyx_v_i = __pyx_t_3; - /* "View.MemoryView":1378 + /* "View.MemoryView":1379 * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< @@ -14593,7 +14623,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss __pyx_t_4 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_4) { - /* "View.MemoryView":1379 + /* "View.MemoryView":1380 * for i in range(shape[0]): * if ndim == 1: * if inc: # <<<<<<<<<<<<<< @@ -14603,7 +14633,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss __pyx_t_4 = (__pyx_v_inc != 0); if (__pyx_t_4) { - /* "View.MemoryView":1380 + /* "View.MemoryView":1381 * if ndim == 1: * if inc: * Py_INCREF(( data)[0]) # <<<<<<<<<<<<<< @@ -14612,7 +14642,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss */ Py_INCREF((((PyObject **)__pyx_v_data)[0])); - /* "View.MemoryView":1379 + /* "View.MemoryView":1380 * for i in range(shape[0]): * if ndim == 1: * if inc: # <<<<<<<<<<<<<< @@ -14622,7 +14652,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss goto __pyx_L6; } - /* "View.MemoryView":1382 + /* "View.MemoryView":1383 * Py_INCREF(( data)[0]) * else: * Py_DECREF(( data)[0]) # <<<<<<<<<<<<<< @@ -14634,7 +14664,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss } __pyx_L6:; - /* "View.MemoryView":1378 + /* "View.MemoryView":1379 * * for i in range(shape[0]): * if ndim == 1: # <<<<<<<<<<<<<< @@ -14644,7 +14674,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss goto __pyx_L5; } - /* "View.MemoryView":1384 + /* "View.MemoryView":1385 * Py_DECREF(( data)[0]) * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< @@ -14653,7 +14683,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss */ /*else*/ { - /* "View.MemoryView":1385 + /* "View.MemoryView":1386 * else: * refcount_objects_in_slice(data, shape + 1, strides + 1, * ndim - 1, inc) # <<<<<<<<<<<<<< @@ -14664,7 +14694,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss } __pyx_L5:; - /* "View.MemoryView":1387 + /* "View.MemoryView":1388 * ndim - 1, inc) * * data += strides[0] # <<<<<<<<<<<<<< @@ -14674,7 +14704,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss __pyx_v_data = (__pyx_v_data + (__pyx_v_strides[0])); } - /* "View.MemoryView":1373 + /* "View.MemoryView":1374 * * @cname('__pyx_memoryview_refcount_objects_in_slice') * cdef void refcount_objects_in_slice(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< @@ -14686,7 +14716,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss __Pyx_RefNannyFinishContext(); } -/* "View.MemoryView":1393 +/* "View.MemoryView":1394 * * @cname('__pyx_memoryview_slice_assign_scalar') * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< @@ -14696,7 +14726,7 @@ static void __pyx_memoryview_refcount_objects_in_slice(char *__pyx_v_data, Py_ss static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize, void *__pyx_v_item, int __pyx_v_dtype_is_object) { - /* "View.MemoryView":1396 + /* "View.MemoryView":1397 * size_t itemsize, void *item, * bint dtype_is_object) nogil: * refcount_copying(dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<< @@ -14705,7 +14735,7 @@ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0); - /* "View.MemoryView":1397 + /* "View.MemoryView":1398 * bint dtype_is_object) nogil: * refcount_copying(dst, dtype_is_object, ndim, False) * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, # <<<<<<<<<<<<<< @@ -14714,7 +14744,7 @@ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst */ __pyx_memoryview__slice_assign_scalar(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_itemsize, __pyx_v_item); - /* "View.MemoryView":1399 + /* "View.MemoryView":1400 * _slice_assign_scalar(dst.data, dst.shape, dst.strides, ndim, * itemsize, item) * refcount_copying(dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<< @@ -14723,7 +14753,7 @@ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst */ __pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 1); - /* "View.MemoryView":1393 + /* "View.MemoryView":1394 * * @cname('__pyx_memoryview_slice_assign_scalar') * cdef void slice_assign_scalar(__Pyx_memviewslice *dst, int ndim, # <<<<<<<<<<<<<< @@ -14734,7 +14764,7 @@ static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *__pyx_v_dst /* function exit code */ } -/* "View.MemoryView":1403 +/* "View.MemoryView":1404 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< @@ -14751,7 +14781,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t Py_ssize_t __pyx_t_3; Py_ssize_t __pyx_t_4; - /* "View.MemoryView":1407 + /* "View.MemoryView":1408 * size_t itemsize, void *item) nogil: * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] # <<<<<<<<<<<<<< @@ -14760,7 +14790,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t */ __pyx_v_stride = (__pyx_v_strides[0]); - /* "View.MemoryView":1408 + /* "View.MemoryView":1409 * cdef Py_ssize_t i * cdef Py_ssize_t stride = strides[0] * cdef Py_ssize_t extent = shape[0] # <<<<<<<<<<<<<< @@ -14769,7 +14799,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t */ __pyx_v_extent = (__pyx_v_shape[0]); - /* "View.MemoryView":1410 + /* "View.MemoryView":1411 * cdef Py_ssize_t extent = shape[0] * * if ndim == 1: # <<<<<<<<<<<<<< @@ -14779,7 +14809,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t __pyx_t_1 = ((__pyx_v_ndim == 1) != 0); if (__pyx_t_1) { - /* "View.MemoryView":1411 + /* "View.MemoryView":1412 * * if ndim == 1: * for i in range(extent): # <<<<<<<<<<<<<< @@ -14791,7 +14821,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; - /* "View.MemoryView":1412 + /* "View.MemoryView":1413 * if ndim == 1: * for i in range(extent): * memcpy(data, item, itemsize) # <<<<<<<<<<<<<< @@ -14800,7 +14830,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t */ (void)(memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize)); - /* "View.MemoryView":1413 + /* "View.MemoryView":1414 * for i in range(extent): * memcpy(data, item, itemsize) * data += stride # <<<<<<<<<<<<<< @@ -14810,7 +14840,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t __pyx_v_data = (__pyx_v_data + __pyx_v_stride); } - /* "View.MemoryView":1410 + /* "View.MemoryView":1411 * cdef Py_ssize_t extent = shape[0] * * if ndim == 1: # <<<<<<<<<<<<<< @@ -14820,7 +14850,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t goto __pyx_L3; } - /* "View.MemoryView":1415 + /* "View.MemoryView":1416 * data += stride * else: * for i in range(extent): # <<<<<<<<<<<<<< @@ -14833,7 +14863,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) { __pyx_v_i = __pyx_t_4; - /* "View.MemoryView":1416 + /* "View.MemoryView":1417 * else: * for i in range(extent): * _slice_assign_scalar(data, shape + 1, strides + 1, # <<<<<<<<<<<<<< @@ -14842,7 +14872,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t */ __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item); - /* "View.MemoryView":1418 + /* "View.MemoryView":1419 * _slice_assign_scalar(data, shape + 1, strides + 1, * ndim - 1, itemsize, item) * data += stride # <<<<<<<<<<<<<< @@ -14854,7 +14884,7 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t } __pyx_L3:; - /* "View.MemoryView":1403 + /* "View.MemoryView":1404 * * @cname('__pyx_memoryview__slice_assign_scalar') * cdef void _slice_assign_scalar(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<< @@ -14867,13 +14897,13 @@ static void __pyx_memoryview__slice_assign_scalar(char *__pyx_v_data, Py_ssize_t /* "(tree fragment)":1 * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< - * if __pyx_checksum != 0xb068931: - * from pickle import PickleError as __pyx_PickleError + * cdef object __pyx_PickleError + * cdef object __pyx_result */ /* Python wrapper */ static PyObject *__pyx_pw_15View_dot_MemoryView_1__pyx_unpickle_Enum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); 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} - if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_MemviewEnum) < 0) __PYX_ERR(1, 278, __pyx_L1_error) + if (__Pyx_setup_reduce((PyObject*)&__pyx_type___pyx_MemviewEnum) < 0) __PYX_ERR(1, 279, __pyx_L1_error) __pyx_MemviewEnum_type = &__pyx_type___pyx_MemviewEnum; __pyx_vtabptr_memoryview = &__pyx_vtable_memoryview; __pyx_vtable_memoryview.get_item_pointer = (char *(*)(struct __pyx_memoryview_obj *, PyObject *))__pyx_memoryview_get_item_pointer; @@ -16563,26 +16479,26 @@ static int __Pyx_modinit_type_init_code(void) { __pyx_vtable_memoryview.setitem_indexed = (PyObject *(*)(struct __pyx_memoryview_obj *, PyObject *, PyObject *))__pyx_memoryview_setitem_indexed; __pyx_vtable_memoryview.convert_item_to_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *))__pyx_memoryview_convert_item_to_object; __pyx_vtable_memoryview.assign_item_from_object = (PyObject *(*)(struct __pyx_memoryview_obj *, char *, PyObject *))__pyx_memoryview_assign_item_from_object; - if (PyType_Ready(&__pyx_type___pyx_memoryview) < 0) __PYX_ERR(1, 329, __pyx_L1_error) + if (PyType_Ready(&__pyx_type___pyx_memoryview) < 0) __PYX_ERR(1, 330, __pyx_L1_error) __pyx_type___pyx_memoryview.tp_print = 0; 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__Pyx_RefNannyFinishContext(); return 0; @@ -16629,15 +16545,6 @@ static int __Pyx_modinit_function_import_code(void) { #define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC #endif #endif -#ifndef CYTHON_SMALL_CODE -#if defined(__clang__) - #define CYTHON_SMALL_CODE -#elif defined(__GNUC__) && (!(defined(__cplusplus)) || (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ > 4))) - #define CYTHON_SMALL_CODE __attribute__((cold)) -#else - #define CYTHON_SMALL_CODE -#endif -#endif #if PY_MAJOR_VERSION < 3 @@ -16650,11 +16557,36 @@ __Pyx_PyMODINIT_FUNC PyInit_nmf_pgd(void) { return PyModuleDef_Init(&__pyx_moduledef); } -static int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name) { +static CYTHON_SMALL_CODE int __Pyx_check_single_interpreter(void) { + #if PY_VERSION_HEX >= 0x030700A1 + static PY_INT64_T main_interpreter_id = -1; + PY_INT64_T current_id = PyInterpreterState_GetID(PyThreadState_Get()->interp); + if (main_interpreter_id == -1) { + main_interpreter_id = current_id; + return (unlikely(current_id == -1)) ? -1 : 0; + } else if (unlikely(main_interpreter_id != current_id)) + #else + static PyInterpreterState *main_interpreter = NULL; + PyInterpreterState *current_interpreter = PyThreadState_Get()->interp; + if (!main_interpreter) { + main_interpreter = current_interpreter; + } else if (unlikely(main_interpreter != current_interpreter)) + #endif + { + PyErr_SetString( + PyExc_ImportError, + "Interpreter change detected - this module can only be loaded into one interpreter per process."); + return -1; + } + return 0; +} +static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name, int allow_none) { PyObject *value = PyObject_GetAttrString(spec, from_name); int result = 0; if (likely(value)) { - result = PyDict_SetItemString(moddict, to_name, value); + if (allow_none || value != Py_None) { + result = PyDict_SetItemString(moddict, to_name, value); + } Py_DECREF(value); } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); 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- if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__") < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__", 1) < 0)) goto bad; + if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__", 0) < 0)) goto bad; return module; bad: Py_XDECREF(module); @@ -16685,7 +16619,7 @@ static PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *d } -static int __pyx_pymod_exec_nmf_pgd(PyObject *__pyx_pyinit_module) +static CYTHON_SMALL_CODE int __pyx_pymod_exec_nmf_pgd(PyObject *__pyx_pyinit_module) #endif #endif { @@ -16693,7 +16627,11 @@ static int __pyx_pymod_exec_nmf_pgd(PyObject *__pyx_pyinit_module) static PyThread_type_lock __pyx_t_2[8]; __Pyx_RefNannyDeclarations #if CYTHON_PEP489_MULTI_PHASE_INIT - if (__pyx_m && __pyx_m == __pyx_pyinit_module) return 0; 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if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 990, __pyx_L1_error) + __pyx_t_1 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)"getbuffer(obj, view, flags)")); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 991, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); - if (PyDict_SetItem((PyObject *)__pyx_memoryviewslice_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_1) < 0) __PYX_ERR(1, 990, __pyx_L1_error) + if (PyDict_SetItem((PyObject *)__pyx_memoryviewslice_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_1) < 0) __PYX_ERR(1, 991, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; PyType_Modified(__pyx_memoryviewslice_type); /* "(tree fragment)":1 * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<< - * if __pyx_checksum != 0xb068931: - * from pickle import PickleError as __pyx_PickleError + * cdef object __pyx_PickleError + * cdef object __pyx_result */ __pyx_t_1 = PyCFunction_NewEx(&__pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum, NULL, __pyx_n_s_View_MemoryView); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 1, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); if (PyDict_SetItem(__pyx_d, __pyx_n_s_pyx_unpickle_Enum, __pyx_t_1) < 0) __PYX_ERR(1, 1, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "(tree fragment)":9 + /* "(tree fragment)":11 * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state) * return __pyx_result * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<< @@ -16971,9 +16912,9 @@ if (!__Pyx_RefNanny) { __Pyx_XDECREF(__pyx_t_1); if (__pyx_m) { if (__pyx_d) { - __Pyx_AddTraceback("init gensim.models.nmf_pgd", 0, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("init gensim.models.nmf_pgd", __pyx_clineno, __pyx_lineno, __pyx_filename); } - Py_DECREF(__pyx_m); __pyx_m = 0; + Py_CLEAR(__pyx_m); } else if (!PyErr_Occurred()) { PyErr_SetString(PyExc_ImportError, "init gensim.models.nmf_pgd"); } @@ -16994,9 +16935,9 @@ if (!__Pyx_RefNanny) { static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) { PyObject *m = NULL, *p = NULL; void *r = NULL; - m = PyImport_ImportModule((char *)modname); + m = PyImport_ImportModule(modname); if (!m) goto end; - p = PyObject_GetAttrString(m, (char *)"RefNannyAPI"); + p = PyObject_GetAttrString(m, "RefNannyAPI"); if (!p) goto end; r = PyLong_AsVoidPtr(p); end: @@ -17546,7 +17487,7 @@ static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, P PyObject *self = PyCFunction_GET_SELF(func); int flags = PyCFunction_GET_FLAGS(func); assert(PyCFunction_Check(func)); - assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS))); + assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS))); assert(nargs >= 0); assert(nargs == 0 || args != NULL); /* _PyCFunction_FastCallDict() must not be called with an exception set, @@ -17554,16 +17495,15 @@ static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, P caller loses its exception */ assert(!PyErr_Occurred()); if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { - return (*((__Pyx_PyCFunctionFastWithKeywords)meth)) (self, args, nargs, NULL); + return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL); } else { - return (*((__Pyx_PyCFunctionFast)meth)) (self, args, nargs); + return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs); } } #endif /* PyFunctionFastCall */ #if CYTHON_FAST_PYCALL -#include "frameobject.h" static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, PyObject *globals) { PyFrameObject *f; @@ -17581,7 +17521,7 @@ static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args if (f == NULL) { return NULL; } - fastlocals = f->f_localsplus; + fastlocals = __Pyx_PyFrame_GetLocalsplus(f); for (i = 0; i < na; i++) { Py_INCREF(*args); fastlocals[i] = *args++; @@ -17681,6 +17621,35 @@ static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, #endif #endif +/* PyObjectCall2Args */ +static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { + PyObject *args, *result = NULL; + #if CYTHON_FAST_PYCALL + if (PyFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyFunction_FastCall(function, args, 2); + } + #endif + #if CYTHON_FAST_PYCCALL + if (__Pyx_PyFastCFunction_Check(function)) { + PyObject *args[2] = {arg1, arg2}; + return __Pyx_PyCFunction_FastCall(function, args, 2); + } + #endif + args = PyTuple_New(2); + if (unlikely(!args)) goto done; + Py_INCREF(arg1); + PyTuple_SET_ITEM(args, 0, arg1); + Py_INCREF(arg2); + PyTuple_SET_ITEM(args, 1, arg2); + Py_INCREF(function); + result = __Pyx_PyObject_Call(function, args, NULL); + Py_DECREF(args); + Py_DECREF(function); +done: + return result; +} + /* PyObjectCallMethO */ #if CYTHON_COMPILING_IN_CPYTHON static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { @@ -17919,7 +17888,7 @@ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_ if (wraparound & unlikely(i < 0)) { wrapped_i += PyList_GET_SIZE(o); } - if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyList_GET_SIZE(o)))) { + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) { PyObject *r = PyList_GET_ITEM(o, wrapped_i); Py_INCREF(r); return r; @@ -17937,7 +17906,7 @@ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize if (wraparound & unlikely(i < 0)) { wrapped_i += PyTuple_GET_SIZE(o); } - if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyTuple_GET_SIZE(o)))) { + if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, wrapped_i); Py_INCREF(r); return r; @@ -17953,7 +17922,7 @@ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS if (is_list || PyList_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o); - if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) { + if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) { PyObject *r = PyList_GET_ITEM(o, n); Py_INCREF(r); return r; @@ -17961,7 +17930,7 @@ static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, } else if (PyTuple_CheckExact(o)) { Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o); - if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) { + if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) { PyObject *r = PyTuple_GET_ITEM(o, n); Py_INCREF(r); return r; @@ -18093,52 +18062,60 @@ static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject } /* GetModuleGlobalName */ -static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { +#if CYTHON_USE_DICT_VERSIONS +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) +#else +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) +#endif +{ PyObject *result; #if !CYTHON_AVOID_BORROWED_REFS #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) if (likely(result)) { - Py_INCREF(result); + return __Pyx_NewRef(result); } else if (unlikely(PyErr_Occurred())) { - result = NULL; - } else { + return NULL; + } #else result = PyDict_GetItem(__pyx_d, name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) if (likely(result)) { - Py_INCREF(result); - } else { + return __Pyx_NewRef(result); + } #endif #else result = PyObject_GetItem(__pyx_d, name); - if (!result) { - PyErr_Clear(); -#endif - result = __Pyx_GetBuiltinName(name); + __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); } - return result; + PyErr_Clear(); +#endif + return __Pyx_GetBuiltinName(name); } /* RaiseTooManyValuesToUnpack */ - static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { +static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { PyErr_Format(PyExc_ValueError, "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); } /* RaiseNeedMoreValuesToUnpack */ - static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { +static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { PyErr_Format(PyExc_ValueError, "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", index, (index == 1) ? "" : "s"); } /* RaiseNoneIterError */ - static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { +static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); } /* ExtTypeTest */ - static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { if (unlikely(!type)) { PyErr_SetString(PyExc_SystemError, "Missing type object"); return 0; @@ -18150,13 +18127,29 @@ static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) { return 0; } +/* GetTopmostException */ +#if CYTHON_USE_EXC_INFO_STACK +static _PyErr_StackItem * +__Pyx_PyErr_GetTopmostException(PyThreadState *tstate) +{ + _PyErr_StackItem *exc_info = tstate->exc_info; + while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) && + exc_info->previous_item != NULL) + { + exc_info = exc_info->previous_item; + } + return exc_info; +} +#endif + /* SaveResetException */ - #if CYTHON_FAST_THREAD_STATE +#if CYTHON_FAST_THREAD_STATE static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - #if PY_VERSION_HEX >= 0x030700A3 - *type = tstate->exc_state.exc_type; - *value = tstate->exc_state.exc_value; - *tb = tstate->exc_state.exc_traceback; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate); + *type = exc_info->exc_type; + *value = exc_info->exc_value; + *tb = exc_info->exc_traceback; #else *type = tstate->exc_type; *value = tstate->exc_value; @@ -18168,13 +18161,14 @@ static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject * } static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; - #if PY_VERSION_HEX >= 0x030700A3 - tmp_type = tstate->exc_state.exc_type; - tmp_value = tstate->exc_state.exc_value; - tmp_tb = tstate->exc_state.exc_traceback; - tstate->exc_state.exc_type = type; - tstate->exc_state.exc_value = value; - tstate->exc_state.exc_traceback = tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = type; + exc_info->exc_value = value; + exc_info->exc_traceback = tb; #else tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; @@ -18190,11 +18184,12 @@ static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject #endif /* GetException */ - #if CYTHON_FAST_THREAD_STATE -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { +#if CYTHON_FAST_THREAD_STATE +static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) #else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { +static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) #endif +{ PyObject *local_type, *local_value, *local_tb; #if CYTHON_FAST_THREAD_STATE PyObject *tmp_type, *tmp_value, *tmp_tb; @@ -18227,13 +18222,16 @@ static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) *value = local_value; *tb = local_tb; #if CYTHON_FAST_THREAD_STATE - #if PY_VERSION_HEX >= 0x030700A3 - tmp_type = tstate->exc_state.exc_type; - tmp_value = tstate->exc_state.exc_value; - tmp_tb = tstate->exc_state.exc_traceback; - tstate->exc_state.exc_type = local_type; - tstate->exc_state.exc_value = local_value; - tstate->exc_state.exc_traceback = local_tb; + #if CYTHON_USE_EXC_INFO_STACK + { + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = local_type; + exc_info->exc_value = local_value; + exc_info->exc_traceback = local_tb; + } #else tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; @@ -18260,16 +18258,17 @@ static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) } /* SwapException */ - #if CYTHON_FAST_THREAD_STATE +#if CYTHON_FAST_THREAD_STATE static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { PyObject *tmp_type, *tmp_value, *tmp_tb; - #if PY_VERSION_HEX >= 0x030700A3 - tmp_type = tstate->exc_state.exc_type; - tmp_value = tstate->exc_state.exc_value; - tmp_tb = tstate->exc_state.exc_traceback; - tstate->exc_state.exc_type = *type; - tstate->exc_state.exc_value = *value; - tstate->exc_state.exc_traceback = *tb; + #if CYTHON_USE_EXC_INFO_STACK + _PyErr_StackItem *exc_info = tstate->exc_info; + tmp_type = exc_info->exc_type; + tmp_value = exc_info->exc_value; + tmp_tb = exc_info->exc_traceback; + exc_info->exc_type = *type; + exc_info->exc_value = *value; + exc_info->exc_traceback = *tb; #else tmp_type = tstate->exc_type; tmp_value = tstate->exc_value; @@ -18294,7 +18293,7 @@ static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, #endif /* Import */ - static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { +static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { PyObject *empty_list = 0; PyObject *module = 0; PyObject *global_dict = 0; @@ -18341,7 +18340,7 @@ static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, if (!py_level) goto bad; module = PyObject_CallFunctionObjArgs(py_import, - name, global_dict, empty_dict, list, py_level, NULL); + name, global_dict, empty_dict, list, py_level, (PyObject *)NULL); Py_DECREF(py_level); #else module = PyImport_ImportModuleLevelObject( @@ -18359,7 +18358,7 @@ static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, } /* FastTypeChecks */ - #if CYTHON_COMPILING_IN_CPYTHON +#if CYTHON_COMPILING_IN_CPYTHON static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { while (a) { a = a->tp_base; @@ -18459,7 +18458,7 @@ static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObj #endif /* PyIntBinop */ - #if !CYTHON_COMPILING_IN_PYPY +#if !CYTHON_COMPILING_IN_PYPY static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) { #if PY_MAJOR_VERSION < 3 if (likely(PyInt_CheckExact(op1))) { @@ -18581,12 +18580,12 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED #endif /* None */ - static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { +static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) { PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname); } /* WriteUnraisableException */ - static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, +static void __Pyx_WriteUnraisable(const char *name, CYTHON_UNUSED int clineno, CYTHON_UNUSED int lineno, CYTHON_UNUSED const char *filename, int full_traceback, CYTHON_UNUSED int nogil) { PyObject *old_exc, *old_val, *old_tb; @@ -18628,7 +18627,7 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED } /* ImportFrom */ - static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { +static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Format(PyExc_ImportError, @@ -18642,7 +18641,7 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED } /* HasAttr */ - static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { +static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) { PyObject *r; if (unlikely(!__Pyx_PyBaseString_Check(n))) { PyErr_SetString(PyExc_TypeError, @@ -18660,7 +18659,7 @@ static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED } /* PyObject_GenericGetAttrNoDict */ - #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) { PyErr_Format(PyExc_AttributeError, #if PY_MAJOR_VERSION >= 3 @@ -18700,7 +18699,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj #endif /* PyObject_GenericGetAttr */ - #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 +#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000 static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) { if (unlikely(Py_TYPE(obj)->tp_dictoffset)) { return PyObject_GenericGetAttr(obj, attr_name); @@ -18710,7 +18709,7 @@ static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_nam #endif /* SetVTable */ - static int __Pyx_SetVtable(PyObject *dict, void *vtable) { +static int __Pyx_SetVtable(PyObject *dict, void *vtable) { #if PY_VERSION_HEX >= 0x02070000 PyObject *ob = PyCapsule_New(vtable, 0, 0); #else @@ -18728,7 +18727,7 @@ static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_nam } /* SetupReduce */ - static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { +static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) { int ret; PyObject *name_attr; name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2); @@ -18804,8 +18803,8 @@ static int __Pyx_setup_reduce(PyObject* type_obj) { } /* CLineInTraceback */ - #ifndef CYTHON_CLINE_IN_TRACEBACK -static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_line) { +#ifndef CYTHON_CLINE_IN_TRACEBACK +static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) { PyObject *use_cline; PyObject *ptype, *pvalue, *ptraceback; #if CYTHON_COMPILING_IN_CPYTHON @@ -18818,7 +18817,9 @@ static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_li #if CYTHON_COMPILING_IN_CPYTHON cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); if (likely(cython_runtime_dict)) { - use_cline = __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback); + __PYX_PY_DICT_LOOKUP_IF_MODIFIED( + use_cline, *cython_runtime_dict, + __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback)) } else #endif { @@ -18835,7 +18836,7 @@ static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_li c_line = 0; PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); } - else if (PyObject_Not(use_cline) != 0) { + else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) { c_line = 0; } __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); @@ -18844,7 +18845,7 @@ static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_li #endif /* CodeObjectCache */ - static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { int start = 0, mid = 0, end = count - 1; if (end >= 0 && code_line > entries[end].code_line) { return count; @@ -18924,7 +18925,7 @@ static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { } /* AddTraceback */ - #include "compile.h" +#include "compile.h" #include "frameobject.h" #include "traceback.h" static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( @@ -19030,8 +19031,8 @@ static void __Pyx_ReleaseBuffer(Py_buffer *view) { #endif - /* MemviewSliceIsContig */ - static int +/* MemviewSliceIsContig */ +static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) { int i, index, step, start; @@ -19053,7 +19054,7 @@ __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim) } /* OverlappingSlices */ - static void +static void __pyx_get_array_memory_extents(__Pyx_memviewslice *slice, void **out_start, void **out_end, int ndim, size_t itemsize) @@ -19089,7 +19090,7 @@ __pyx_slices_overlap(__Pyx_memviewslice *slice1, } /* Capsule */ - static CYTHON_INLINE PyObject * +static CYTHON_INLINE PyObject * __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) { PyObject *cobj; @@ -19102,7 +19103,7 @@ __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) } /* IsLittleEndian */ - static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) +static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) { union { uint32_t u32; @@ -19113,7 +19114,7 @@ __pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig) } /* BufferFormatCheck */ - static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, +static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, __Pyx_BufFmt_StackElem* stack, __Pyx_TypeInfo* type) { stack[0].field = &ctx->root; @@ -19615,7 +19616,7 @@ static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const cha } /* TypeInfoCompare */ - static int + static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) { int i; @@ -19656,7 +19657,7 @@ __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b) } /* MemviewSliceValidateAndInit */ - static int + static int __pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec) { if (buf->shape[dim] <= 1) @@ -19838,7 +19839,7 @@ static int __Pyx_ValidateAndInit_memviewslice( } /* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) { + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; @@ -19861,7 +19862,7 @@ static int __Pyx_ValidateAndInit_memviewslice( } /* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsds_double(PyObject *obj, int writable_flag) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) }; @@ -19884,7 +19885,7 @@ static int __Pyx_ValidateAndInit_memviewslice( } /* ObjectToMemviewSlice */ - static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { + static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) { __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } }; __Pyx_BufFmt_StackElem stack[1]; int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) }; @@ -19907,7 +19908,7 @@ static int __Pyx_ValidateAndInit_memviewslice( } /* MemviewSliceCopyTemplate */ - static __Pyx_memviewslice + static __Pyx_memviewslice __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, const char *mode, int ndim, size_t sizeof_dtype, int contig_flag, @@ -19974,7 +19975,7 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ + #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) #define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) @@ -19996,8 +19997,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { - const int neg_one = (int) -1, const_zero = (int) 0; + static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { + const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { @@ -20185,8 +20186,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { - const long neg_one = (long) -1, const_zero = (long) 0; + static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { @@ -20374,8 +20375,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { - const int neg_one = (int) -1, const_zero = (int) 0; + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { + const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(int) < sizeof(long)) { @@ -20405,8 +20406,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { - const long neg_one = (long) -1, const_zero = (long) 0; + static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { + const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0; const int is_unsigned = neg_one > const_zero; if (is_unsigned) { if (sizeof(long) < sizeof(long)) { @@ -20436,8 +20437,8 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CIntFromPy */ - static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { - const char neg_one = (char) -1, const_zero = (char) 0; + static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) { + const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0; const int is_unsigned = neg_one > const_zero; #if PY_MAJOR_VERSION < 3 if (likely(PyInt_Check(x))) { @@ -20625,7 +20626,7 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* CheckBinaryVersion */ - static int __Pyx_check_binary_version(void) { + static int __Pyx_check_binary_version(void) { char ctversion[4], rtversion[4]; PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); @@ -20641,7 +20642,7 @@ __pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs, } /* InitStrings */ - static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { + static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { while (t->p) { #if PY_MAJOR_VERSION < 3 if (t->is_unicode) { @@ -20750,6 +20751,13 @@ static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { if (is_true | (x == Py_False) | (x == Py_None)) return is_true; else return PyObject_IsTrue(x); } +static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { + int retval; + if (unlikely(!x)) return -1; + retval = __Pyx_PyObject_IsTrue(x); + Py_DECREF(x); + return retval; +} static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { #if PY_MAJOR_VERSION >= 3 if (PyLong_Check(result)) { @@ -20827,7 +20835,7 @@ static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { if (sizeof(Py_ssize_t) >= sizeof(long)) return PyInt_AS_LONG(b); else - return PyInt_AsSsize_t(x); + return PyInt_AsSsize_t(b); } #endif if (likely(PyLong_CheckExact(b))) { diff --git a/gensim/models/word2vec_corpusfile.cpp b/gensim/models/word2vec_corpusfile.cpp index 0aa72c5559..96b4886f9e 100644 --- a/gensim/models/word2vec_corpusfile.cpp +++ b/gensim/models/word2vec_corpusfile.cpp @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -412,7 +412,7 @@ class __Pyx_FakeReference { typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -435,7 +435,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -884,7 +884,7 @@ static const char *__pyx_f[] = { #define __Pyx_FastGilFuncInit() -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -893,7 +893,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -902,7 +902,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -911,7 +911,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -920,7 +920,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -929,7 +929,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -938,7 +938,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -947,7 +947,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -956,7 +956,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -965,7 +965,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -974,7 +974,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -983,7 +983,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -992,7 +992,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -1001,7 +1001,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -1010,7 +1010,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -1019,7 +1019,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -1028,7 +1028,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1037,7 +1037,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1046,7 +1046,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1055,7 +1055,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1064,7 +1064,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1120,7 +1120,7 @@ struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonLineSentence; struct __pyx_obj_6gensim_6models_19word2vec_corpusfile_CythonVocab; struct __pyx_obj_6gensim_6models_19word2vec_corpusfile___pyx_scope_struct____iter__; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1129,7 +1129,7 @@ struct __pyx_obj_6gensim_6models_19word2vec_corpusfile___pyx_scope_struct____ite */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1138,7 +1138,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1147,7 +1147,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -7266,7 +7266,7 @@ static PyObject *__pyx_pf_6gensim_6models_19word2vec_corpusfile_4train_epoch_cbo return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -7315,7 +7315,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -7324,7 +7324,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -7333,7 +7333,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -7342,7 +7342,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7356,7 +7356,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -7367,7 +7367,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7376,7 +7376,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -7389,7 +7389,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(3, 272, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7398,7 +7398,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7412,7 +7412,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -7423,7 +7423,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7432,7 +7432,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -7445,7 +7445,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(3, 276, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -7454,7 +7454,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -7463,7 +7463,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -7472,7 +7472,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -7482,7 +7482,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -7491,7 +7491,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -7500,7 +7500,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -7512,7 +7512,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -7521,7 +7521,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -7531,7 +7531,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -7541,7 +7541,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -7551,7 +7551,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -7562,7 +7562,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -7571,7 +7571,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -7580,7 +7580,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -7589,7 +7589,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -7598,7 +7598,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -7611,7 +7611,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -7624,7 +7624,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -7634,7 +7634,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -7644,7 +7644,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7664,7 +7664,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -7681,7 +7681,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7690,7 +7690,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -7703,7 +7703,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(3, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -7712,7 +7712,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -7725,7 +7725,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -7736,7 +7736,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -7747,7 +7747,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -7758,7 +7758,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -7769,7 +7769,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -7780,7 +7780,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -7791,7 +7791,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -7802,7 +7802,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -7813,7 +7813,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -7824,7 +7824,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -7835,7 +7835,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -7846,7 +7846,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -7857,7 +7857,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -7868,7 +7868,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -7879,7 +7879,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -7890,7 +7890,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -7901,7 +7901,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -7922,7 +7922,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -7931,7 +7931,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -7941,7 +7941,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -7950,7 +7950,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -7960,7 +7960,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -7969,7 +7969,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -7978,7 +7978,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -7988,7 +7988,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(3, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -7998,7 +7998,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -8030,7 +8030,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -8054,7 +8054,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -8064,7 +8064,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -8073,7 +8073,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -8082,7 +8082,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8092,7 +8092,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -8101,7 +8101,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8110,7 +8110,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -8122,7 +8122,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -8136,7 +8136,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; 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goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":837 * * cdef inline tuple PyDataType_SHAPE(dtype d): * if PyDataType_HASSUBARRAY(d): # <<<<<<<<<<<<<< @@ -8402,7 +8402,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":840 * return d.subarray.shape * else: * return () # <<<<<<<<<<<<<< @@ -8416,7 +8416,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ goto __pyx_L0; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":836 * return PyArray_MultiIterNew(5, a, b, c, d, e) * * cdef inline tuple PyDataType_SHAPE(dtype d): # <<<<<<<<<<<<<< @@ -8431,7 +8431,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__ return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -8460,7 +8460,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx char *__pyx_t_9; __Pyx_RefNannySetupContext("_util_dtypestring", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":847 * * cdef dtype child * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -8469,7 +8469,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":848 * cdef dtype child * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -8478,7 +8478,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -8501,7 +8501,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -8518,7 +8518,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -8553,7 +8553,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -8570,7 +8570,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -8583,7 +8583,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(3, 856, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -8592,7 +8592,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8612,7 +8612,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L8_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -8629,7 +8629,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = __pyx_t_7; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8638,7 +8638,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -8651,7 +8651,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(3, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8660,7 +8660,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -8676,7 +8676,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -8685,7 +8685,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -8694,7 +8694,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -8705,7 +8705,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -8715,7 +8715,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -8725,7 +8725,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -8737,7 +8737,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -8747,7 +8747,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -8760,7 +8760,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(3, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -8769,7 +8769,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -8787,7 +8787,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -8805,7 +8805,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -8823,7 +8823,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -8841,7 +8841,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -8859,7 +8859,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -8877,7 +8877,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -8895,7 +8895,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -8913,7 +8913,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -8931,7 +8931,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -8949,7 +8949,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -8967,7 +8967,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -8985,7 +8985,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -9003,7 +9003,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -9023,7 +9023,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -9043,7 +9043,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -9063,7 +9063,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -9081,7 +9081,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -9100,7 +9100,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -9109,7 +9109,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -9119,7 +9119,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -9132,7 +9132,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -9142,7 +9142,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -9152,7 +9152,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -9177,7 +9177,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -9189,7 +9189,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -9198,7 +9198,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -9207,7 +9207,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -9219,7 +9219,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -9234,7 +9234,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -9243,7 +9243,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -9253,7 +9253,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -9264,7 +9264,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -9273,7 +9273,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -9285,7 +9285,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -9300,7 +9300,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -9321,7 +9321,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -9337,7 +9337,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -9346,7 +9346,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(3, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -9360,7 +9360,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -9375,7 +9375,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -9391,7 +9391,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -9406,7 +9406,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -9429,7 +9429,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -9450,7 +9450,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -9466,7 +9466,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -9475,7 +9475,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(3, 1042, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -9489,7 +9489,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -9504,7 +9504,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -9520,7 +9520,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -9535,7 +9535,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -9558,7 +9558,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -9579,7 +9579,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_ufunc", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -9595,7 +9595,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1048 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1048 * cdef inline int import_ufunc() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -9604,7 +9604,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(3, 1048, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -9618,7 +9618,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -9632,7 +9632,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -9646,7 +9646,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -9661,7 +9661,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -10752,7 +10752,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__2); __Pyx_GIVEREF(__pyx_tuple__2); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -10763,7 +10763,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__3); __Pyx_GIVEREF(__pyx_tuple__3); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -10774,7 +10774,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__4); __Pyx_GIVEREF(__pyx_tuple__4); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -10785,7 +10785,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__5); __Pyx_GIVEREF(__pyx_tuple__5); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -10796,7 +10796,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__6); __Pyx_GIVEREF(__pyx_tuple__6); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -10807,7 +10807,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__7); __Pyx_GIVEREF(__pyx_tuple__7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -10818,7 +10818,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__8); __Pyx_GIVEREF(__pyx_tuple__8); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -13187,7 +13187,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -13342,7 +13342,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); diff --git a/gensim/models/word2vec_inner.c b/gensim/models/word2vec_inner.c index 230a8fdd69..06e62d36cb 100644 --- a/gensim/models/word2vec_inner.c +++ b/gensim/models/word2vec_inner.c @@ -1,4 +1,4 @@ -/* Generated by Cython 0.29.2 */ +/* Generated by Cython 0.29.3 */ #define PY_SSIZE_T_CLEAN #include "Python.h" @@ -7,8 +7,8 @@ #elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) #error Cython requires Python 2.6+ or Python 3.3+. #else -#define CYTHON_ABI "0_29_2" -#define CYTHON_HEX_VERSION 0x001D02F0 +#define CYTHON_ABI "0_29_3" +#define CYTHON_HEX_VERSION 0x001D03F0 #define CYTHON_FUTURE_DIVISION 0 #include #ifndef offsetof @@ -398,7 +398,7 @@ typedef int Py_tss_t; static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) { *key = PyThread_create_key(); - return 0; // PyThread_create_key reports success always + return 0; } static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) { Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t)); @@ -421,7 +421,7 @@ static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) { static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) { return PyThread_get_key_value(*key); } -#endif // TSS (Thread Specific Storage) API +#endif #if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized) #define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n)) #else @@ -860,7 +860,7 @@ static const char *__pyx_f[] = { #endif -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":776 * # in Cython to enable them only on the right systems. * * ctypedef npy_int8 int8_t # <<<<<<<<<<<<<< @@ -869,7 +869,7 @@ static const char *__pyx_f[] = { */ typedef npy_int8 __pyx_t_5numpy_int8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":777 * * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t # <<<<<<<<<<<<<< @@ -878,7 +878,7 @@ typedef npy_int8 __pyx_t_5numpy_int8_t; */ typedef npy_int16 __pyx_t_5numpy_int16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":778 * ctypedef npy_int8 int8_t * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t # <<<<<<<<<<<<<< @@ -887,7 +887,7 @@ typedef npy_int16 __pyx_t_5numpy_int16_t; */ typedef npy_int32 __pyx_t_5numpy_int32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":779 * ctypedef npy_int16 int16_t * ctypedef npy_int32 int32_t * ctypedef npy_int64 int64_t # <<<<<<<<<<<<<< @@ -896,7 +896,7 @@ typedef npy_int32 __pyx_t_5numpy_int32_t; */ typedef npy_int64 __pyx_t_5numpy_int64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":783 * #ctypedef npy_int128 int128_t * * ctypedef npy_uint8 uint8_t # <<<<<<<<<<<<<< @@ -905,7 +905,7 @@ typedef npy_int64 __pyx_t_5numpy_int64_t; */ typedef npy_uint8 __pyx_t_5numpy_uint8_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":784 * * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t # <<<<<<<<<<<<<< @@ -914,7 +914,7 @@ typedef npy_uint8 __pyx_t_5numpy_uint8_t; */ typedef npy_uint16 __pyx_t_5numpy_uint16_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":785 * ctypedef npy_uint8 uint8_t * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t # <<<<<<<<<<<<<< @@ -923,7 +923,7 @@ typedef npy_uint16 __pyx_t_5numpy_uint16_t; */ typedef npy_uint32 __pyx_t_5numpy_uint32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":786 * ctypedef npy_uint16 uint16_t * ctypedef npy_uint32 uint32_t * ctypedef npy_uint64 uint64_t # <<<<<<<<<<<<<< @@ -932,7 +932,7 @@ typedef npy_uint32 __pyx_t_5numpy_uint32_t; */ typedef npy_uint64 __pyx_t_5numpy_uint64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":790 * #ctypedef npy_uint128 uint128_t * * ctypedef npy_float32 float32_t # <<<<<<<<<<<<<< @@ -941,7 +941,7 @@ typedef npy_uint64 __pyx_t_5numpy_uint64_t; */ typedef npy_float32 __pyx_t_5numpy_float32_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":791 * * ctypedef npy_float32 float32_t * ctypedef npy_float64 float64_t # <<<<<<<<<<<<<< @@ -950,7 +950,7 @@ typedef npy_float32 __pyx_t_5numpy_float32_t; */ typedef npy_float64 __pyx_t_5numpy_float64_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":800 * # The int types are mapped a bit surprising -- * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t # <<<<<<<<<<<<<< @@ -959,7 +959,7 @@ typedef npy_float64 __pyx_t_5numpy_float64_t; */ typedef npy_long __pyx_t_5numpy_int_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":801 * # numpy.int corresponds to 'l' and numpy.long to 'q' * ctypedef npy_long int_t * ctypedef npy_longlong long_t # <<<<<<<<<<<<<< @@ -968,7 +968,7 @@ typedef npy_long __pyx_t_5numpy_int_t; */ typedef npy_longlong __pyx_t_5numpy_long_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":802 * ctypedef npy_long int_t * ctypedef npy_longlong long_t * ctypedef npy_longlong longlong_t # <<<<<<<<<<<<<< @@ -977,7 +977,7 @@ typedef npy_longlong __pyx_t_5numpy_long_t; */ typedef npy_longlong __pyx_t_5numpy_longlong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":804 * ctypedef npy_longlong longlong_t * * ctypedef npy_ulong uint_t # <<<<<<<<<<<<<< @@ -986,7 +986,7 @@ typedef npy_longlong __pyx_t_5numpy_longlong_t; */ typedef npy_ulong __pyx_t_5numpy_uint_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":805 * * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t # <<<<<<<<<<<<<< @@ -995,7 +995,7 @@ typedef npy_ulong __pyx_t_5numpy_uint_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":806 * ctypedef npy_ulong uint_t * ctypedef npy_ulonglong ulong_t * ctypedef npy_ulonglong ulonglong_t # <<<<<<<<<<<<<< @@ -1004,7 +1004,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulong_t; */ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":808 * ctypedef npy_ulonglong ulonglong_t * * ctypedef npy_intp intp_t # <<<<<<<<<<<<<< @@ -1013,7 +1013,7 @@ typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t; */ typedef npy_intp __pyx_t_5numpy_intp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":809 * * ctypedef npy_intp intp_t * ctypedef npy_uintp uintp_t # <<<<<<<<<<<<<< @@ -1022,7 +1022,7 @@ typedef npy_intp __pyx_t_5numpy_intp_t; */ typedef npy_uintp __pyx_t_5numpy_uintp_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":811 * ctypedef npy_uintp uintp_t * * ctypedef npy_double float_t # <<<<<<<<<<<<<< @@ -1031,7 +1031,7 @@ typedef npy_uintp __pyx_t_5numpy_uintp_t; */ typedef npy_double __pyx_t_5numpy_float_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":812 * * ctypedef npy_double float_t * ctypedef npy_double double_t # <<<<<<<<<<<<<< @@ -1040,7 +1040,7 @@ typedef npy_double __pyx_t_5numpy_float_t; */ typedef npy_double __pyx_t_5numpy_double_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":813 * ctypedef npy_double float_t * ctypedef npy_double double_t * ctypedef npy_longdouble longdouble_t # <<<<<<<<<<<<<< @@ -1084,7 +1084,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do /*--- Type declarations ---*/ -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":815 * ctypedef npy_longdouble longdouble_t * * ctypedef npy_cfloat cfloat_t # <<<<<<<<<<<<<< @@ -1093,7 +1093,7 @@ static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(do */ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":816 * * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t # <<<<<<<<<<<<<< @@ -1102,7 +1102,7 @@ typedef npy_cfloat __pyx_t_5numpy_cfloat_t; */ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":817 * ctypedef npy_cfloat cfloat_t * ctypedef npy_cdouble cdouble_t * ctypedef npy_clongdouble clongdouble_t # <<<<<<<<<<<<<< @@ -1111,7 +1111,7 @@ typedef npy_cdouble __pyx_t_5numpy_cdouble_t; */ typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t; -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":819 * ctypedef npy_clongdouble clongdouble_t * * ctypedef npy_cdouble complex_t # <<<<<<<<<<<<<< @@ -8569,7 +8569,7 @@ static PyObject *__pyx_pf_6gensim_6models_14word2vec_inner_8init(CYTHON_UNUSED P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -8618,7 +8618,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None); __Pyx_GIVEREF(__pyx_v_info->obj); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":265 * * cdef int i, ndim * cdef int endian_detector = 1 # <<<<<<<<<<<<<< @@ -8627,7 +8627,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_endian_detector = 1; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":266 * cdef int i, ndim * cdef int endian_detector = 1 * cdef bint little_endian = ((&endian_detector)[0] != 0) # <<<<<<<<<<<<<< @@ -8636,7 +8636,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":268 * cdef bint little_endian = ((&endian_detector)[0] != 0) * * ndim = PyArray_NDIM(self) # <<<<<<<<<<<<<< @@ -8645,7 +8645,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_ndim = PyArray_NDIM(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8659,7 +8659,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L4_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":271 * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -8670,7 +8670,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L4_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8679,7 +8679,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -8692,7 +8692,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 272, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":270 * ndim = PyArray_NDIM(self) * * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8701,7 +8701,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8715,7 +8715,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L7_bool_binop_done; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":275 * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): # <<<<<<<<<<<<<< @@ -8726,7 +8726,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8735,7 +8735,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -8748,7 +8748,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 276, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":274 * raise ValueError(u"ndarray is not C contiguous") * * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) # <<<<<<<<<<<<<< @@ -8757,7 +8757,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":278 * raise ValueError(u"ndarray is not Fortran contiguous") * * info.buf = PyArray_DATA(self) # <<<<<<<<<<<<<< @@ -8766,7 +8766,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->buf = PyArray_DATA(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":279 * * info.buf = PyArray_DATA(self) * info.ndim = ndim # <<<<<<<<<<<<<< @@ -8775,7 +8775,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->ndim = __pyx_v_ndim; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8785,7 +8785,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":283 * # Allocate new buffer for strides and shape info. * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) # <<<<<<<<<<<<<< @@ -8794,7 +8794,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim)))); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":284 * # This is allocated as one block, strides first. * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim # <<<<<<<<<<<<<< @@ -8803,7 +8803,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":285 * info.strides = PyObject_Malloc(sizeof(Py_ssize_t) * 2 * ndim) * info.shape = info.strides + ndim * for i in range(ndim): # <<<<<<<<<<<<<< @@ -8815,7 +8815,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) { __pyx_v_i = __pyx_t_6; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":286 * info.shape = info.strides + ndim * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] # <<<<<<<<<<<<<< @@ -8824,7 +8824,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":287 * for i in range(ndim): * info.strides[i] = PyArray_STRIDES(self)[i] * info.shape[i] = PyArray_DIMS(self)[i] # <<<<<<<<<<<<<< @@ -8834,7 +8834,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":280 * info.buf = PyArray_DATA(self) * info.ndim = ndim * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -8844,7 +8844,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P goto __pyx_L9; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":289 * info.shape[i] = PyArray_DIMS(self)[i] * else: * info.strides = PyArray_STRIDES(self) # <<<<<<<<<<<<<< @@ -8854,7 +8854,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":290 * else: * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) # <<<<<<<<<<<<<< @@ -8865,7 +8865,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L9:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":291 * info.strides = PyArray_STRIDES(self) * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL # <<<<<<<<<<<<<< @@ -8874,7 +8874,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->suboffsets = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":292 * info.shape = PyArray_DIMS(self) * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) # <<<<<<<<<<<<<< @@ -8883,7 +8883,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":293 * info.suboffsets = NULL * info.itemsize = PyArray_ITEMSIZE(self) * info.readonly = not PyArray_ISWRITEABLE(self) # <<<<<<<<<<<<<< @@ -8892,7 +8892,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":296 * * cdef int t * cdef char* f = NULL # <<<<<<<<<<<<<< @@ -8901,7 +8901,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_f = NULL; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":297 * cdef int t * cdef char* f = NULL * cdef dtype descr = PyArray_DESCR(self) # <<<<<<<<<<<<<< @@ -8914,7 +8914,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":300 * cdef int offset * * info.obj = self # <<<<<<<<<<<<<< @@ -8927,7 +8927,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = ((PyObject *)__pyx_v_self); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -8937,7 +8937,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":303 * * if not PyDataType_HASFIELDS(descr): * t = descr.type_num # <<<<<<<<<<<<<< @@ -8947,7 +8947,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_4 = __pyx_v_descr->type_num; __pyx_v_t = __pyx_t_4; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8967,7 +8967,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P } __pyx_L15_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":305 * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -8984,7 +8984,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_1 = __pyx_t_2; __pyx_L14_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -8993,7 +8993,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ if (unlikely(__pyx_t_1)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -9006,7 +9006,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 306, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":304 * if not PyDataType_HASFIELDS(descr): * t = descr.type_num * if ((descr.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -9015,7 +9015,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":307 * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" # <<<<<<<<<<<<<< @@ -9028,7 +9028,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UBYTE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":308 * raise ValueError(u"Non-native byte order not supported") * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" # <<<<<<<<<<<<<< @@ -9039,7 +9039,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_SHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":309 * if t == NPY_BYTE: f = "b" * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" # <<<<<<<<<<<<<< @@ -9050,7 +9050,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_USHORT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":310 * elif t == NPY_UBYTE: f = "B" * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" # <<<<<<<<<<<<<< @@ -9061,7 +9061,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_INT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":311 * elif t == NPY_SHORT: f = "h" * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" # <<<<<<<<<<<<<< @@ -9072,7 +9072,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_UINT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":312 * elif t == NPY_USHORT: f = "H" * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" # <<<<<<<<<<<<<< @@ -9083,7 +9083,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":313 * elif t == NPY_INT: f = "i" * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" # <<<<<<<<<<<<<< @@ -9094,7 +9094,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":314 * elif t == NPY_UINT: f = "I" * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" # <<<<<<<<<<<<<< @@ -9105,7 +9105,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":315 * elif t == NPY_LONG: f = "l" * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" # <<<<<<<<<<<<<< @@ -9116,7 +9116,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_ULONGLONG: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":316 * elif t == NPY_ULONG: f = "L" * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" # <<<<<<<<<<<<<< @@ -9127,7 +9127,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_FLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":317 * elif t == NPY_LONGLONG: f = "q" * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" # <<<<<<<<<<<<<< @@ -9138,7 +9138,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_DOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":318 * elif t == NPY_ULONGLONG: f = "Q" * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" # <<<<<<<<<<<<<< @@ -9149,7 +9149,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_LONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":319 * elif t == NPY_FLOAT: f = "f" * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" # <<<<<<<<<<<<<< @@ -9160,7 +9160,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CFLOAT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":320 * elif t == NPY_DOUBLE: f = "d" * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" # <<<<<<<<<<<<<< @@ -9171,7 +9171,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":321 * elif t == NPY_LONGDOUBLE: f = "g" * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" # <<<<<<<<<<<<<< @@ -9182,7 +9182,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_CLONGDOUBLE: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":322 * elif t == NPY_CFLOAT: f = "Zf" * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" # <<<<<<<<<<<<<< @@ -9193,7 +9193,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; case NPY_OBJECT: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":323 * elif t == NPY_CDOUBLE: f = "Zd" * elif t == NPY_CLONGDOUBLE: f = "Zg" * elif t == NPY_OBJECT: f = "O" # <<<<<<<<<<<<<< @@ -9204,7 +9204,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; default: - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":325 * elif t == NPY_OBJECT: f = "O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -9225,7 +9225,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P break; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":326 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f # <<<<<<<<<<<<<< @@ -9234,7 +9234,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_info->format = __pyx_v_f; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":327 * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * info.format = f * return # <<<<<<<<<<<<<< @@ -9244,7 +9244,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_r = 0; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":302 * info.obj = self * * if not PyDataType_HASFIELDS(descr): # <<<<<<<<<<<<<< @@ -9253,7 +9253,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":329 * return * else: * info.format = PyObject_Malloc(_buffer_format_string_len) # <<<<<<<<<<<<<< @@ -9263,7 +9263,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P /*else*/ { __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":330 * else: * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment # <<<<<<<<<<<<<< @@ -9272,7 +9272,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ (__pyx_v_info->format[0]) = '^'; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":331 * info.format = PyObject_Malloc(_buffer_format_string_len) * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 # <<<<<<<<<<<<<< @@ -9281,7 +9281,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P */ __pyx_v_offset = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":332 * info.format[0] = c'^' # Native data types, manual alignment * offset = 0 * f = _util_dtypestring(descr, info.format + 1, # <<<<<<<<<<<<<< @@ -9291,7 +9291,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 332, __pyx_L1_error) __pyx_v_f = __pyx_t_9; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":335 * info.format + _buffer_format_string_len, * &offset) * f[0] = c'\0' # Terminate format string # <<<<<<<<<<<<<< @@ -9301,7 +9301,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P (__pyx_v_f[0]) = '\x00'; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":258 * # experimental exception made for __getbuffer__ and __releasebuffer__ * # -- the details of this may change. * def __getbuffer__(ndarray self, Py_buffer* info, int flags): # <<<<<<<<<<<<<< @@ -9333,7 +9333,7 @@ static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, P return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -9357,7 +9357,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s int __pyx_t_1; __Pyx_RefNannySetupContext("__releasebuffer__", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -9367,7 +9367,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":339 * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) # <<<<<<<<<<<<<< @@ -9376,7 +9376,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->format); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":338 * * def __releasebuffer__(ndarray self, Py_buffer* info): * if PyArray_HASFIELDS(self): # <<<<<<<<<<<<<< @@ -9385,7 +9385,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -9395,7 +9395,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":341 * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): * PyObject_Free(info.strides) # <<<<<<<<<<<<<< @@ -9404,7 +9404,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ PyObject_Free(__pyx_v_info->strides); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":340 * if PyArray_HASFIELDS(self): * PyObject_Free(info.format) * if sizeof(npy_intp) != sizeof(Py_ssize_t): # <<<<<<<<<<<<<< @@ -9413,7 +9413,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":337 * f[0] = c'\0' # Terminate format string * * def __releasebuffer__(ndarray self, Py_buffer* info): # <<<<<<<<<<<<<< @@ -9425,7 +9425,7 @@ static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_s __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":821 * ctypedef npy_cdouble complex_t * * cdef inline object PyArray_MultiIterNew1(a): # <<<<<<<<<<<<<< @@ -9439,7 +9439,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__ PyObject *__pyx_t_1 = NULL; 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- /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -9804,7 +9804,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":852 * * for childname in descr.names: * fields = descr.fields[childname] # <<<<<<<<<<<<<< @@ -9821,7 +9821,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3)); __pyx_t_3 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":853 * for childname in descr.names: * fields = descr.fields[childname] * child, new_offset = fields # <<<<<<<<<<<<<< @@ -9856,7 +9856,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -9873,7 +9873,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -9886,7 +9886,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 856, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":855 * child, new_offset = fields * * if (end - f) - (new_offset - offset[0]) < 15: # <<<<<<<<<<<<<< @@ -9895,7 +9895,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -9915,7 +9915,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L8_next_or:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":859 * * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): # <<<<<<<<<<<<<< @@ -9932,7 +9932,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = __pyx_t_7; __pyx_L7_bool_binop_done:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -9941,7 +9941,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":860 * if ((child.byteorder == c'>' and little_endian) or * (child.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -9954,7 +9954,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(1, 860, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":858 * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") * * if ((child.byteorder == c'>' and little_endian) or # <<<<<<<<<<<<<< @@ -9963,7 +9963,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":870 * * # Output padding bytes * while offset[0] < new_offset: # <<<<<<<<<<<<<< @@ -9979,7 +9979,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; if (!__pyx_t_6) break; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":871 * # Output padding bytes * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte # <<<<<<<<<<<<<< @@ -9988,7 +9988,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ (__pyx_v_f[0]) = 0x78; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":872 * while offset[0] < new_offset: * f[0] = 120 # "x"; pad byte * f += 1 # <<<<<<<<<<<<<< @@ -9997,7 +9997,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":873 * f[0] = 120 # "x"; pad byte * f += 1 * offset[0] += 1 # <<<<<<<<<<<<<< @@ -10008,7 +10008,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1); } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":875 * offset[0] += 1 * * offset[0] += child.itemsize # <<<<<<<<<<<<<< @@ -10018,7 +10018,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_8 = 0; (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -10028,7 +10028,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0); if (__pyx_t_6) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":878 * * if not PyDataType_HASFIELDS(child): * t = child.type_num # <<<<<<<<<<<<<< @@ -10040,7 +10040,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4); __pyx_t_4 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -10050,7 +10050,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0); if (unlikely(__pyx_t_6)) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -10063,7 +10063,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __PYX_ERR(1, 880, __pyx_L1_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":879 * if not PyDataType_HASFIELDS(child): * t = child.type_num * if end - f < 5: # <<<<<<<<<<<<<< @@ -10072,7 +10072,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":883 * * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" # <<<<<<<<<<<<<< @@ -10090,7 +10090,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":884 * # Until ticket #99 is fixed, use integers to avoid warnings * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" # <<<<<<<<<<<<<< @@ -10108,7 +10108,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":885 * if t == NPY_BYTE: f[0] = 98 #"b" * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" # <<<<<<<<<<<<<< @@ -10126,7 +10126,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":886 * elif t == NPY_UBYTE: f[0] = 66 #"B" * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" # <<<<<<<<<<<<<< @@ -10144,7 +10144,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":887 * elif t == NPY_SHORT: f[0] = 104 #"h" * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" # <<<<<<<<<<<<<< @@ -10162,7 +10162,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":888 * elif t == NPY_USHORT: f[0] = 72 #"H" * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" # <<<<<<<<<<<<<< @@ -10180,7 +10180,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":889 * elif t == NPY_INT: f[0] = 105 #"i" * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" # <<<<<<<<<<<<<< @@ -10198,7 +10198,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":890 * elif t == NPY_UINT: f[0] = 73 #"I" * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" # <<<<<<<<<<<<<< @@ -10216,7 +10216,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":891 * elif t == NPY_LONG: f[0] = 108 #"l" * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" # <<<<<<<<<<<<<< @@ -10234,7 +10234,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":892 * elif t == NPY_ULONG: f[0] = 76 #"L" * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" # <<<<<<<<<<<<<< @@ -10252,7 +10252,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":893 * elif t == NPY_LONGLONG: f[0] = 113 #"q" * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" # <<<<<<<<<<<<<< @@ -10270,7 +10270,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":894 * elif t == NPY_ULONGLONG: f[0] = 81 #"Q" * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" # <<<<<<<<<<<<<< @@ -10288,7 +10288,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":895 * elif t == NPY_FLOAT: f[0] = 102 #"f" * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" # <<<<<<<<<<<<<< @@ -10306,7 +10306,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":896 * elif t == NPY_DOUBLE: f[0] = 100 #"d" * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf # <<<<<<<<<<<<<< @@ -10326,7 +10326,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":897 * elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd # <<<<<<<<<<<<<< @@ -10346,7 +10346,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":898 * elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg # <<<<<<<<<<<<<< @@ -10366,7 +10366,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":899 * elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd * elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg * elif t == NPY_OBJECT: f[0] = 79 #"O" # <<<<<<<<<<<<<< @@ -10384,7 +10384,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L15; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":901 * elif t == NPY_OBJECT: f[0] = 79 #"O" * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) # <<<<<<<<<<<<<< @@ -10403,7 +10403,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L15:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":902 * else: * raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) * f += 1 # <<<<<<<<<<<<<< @@ -10412,7 +10412,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx */ __pyx_v_f = (__pyx_v_f + 1); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":877 * offset[0] += child.itemsize * * if not PyDataType_HASFIELDS(child): # <<<<<<<<<<<<<< @@ -10422,7 +10422,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx goto __pyx_L13; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":906 * # Cython ignores struct boundary information ("T{...}"), * # so don't output it * f = _util_dtypestring(child, f, end, offset) # <<<<<<<<<<<<<< @@ -10435,7 +10435,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __pyx_L13:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":851 * cdef tuple fields * * for childname in descr.names: # <<<<<<<<<<<<<< @@ -10445,7 +10445,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx } __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":907 * # so don't output it * f = _util_dtypestring(child, f, end, offset) * return f # <<<<<<<<<<<<<< @@ -10455,7 +10455,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx __pyx_r = __pyx_v_f; goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":842 * return () * * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: # <<<<<<<<<<<<<< @@ -10480,7 +10480,7 @@ static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -10492,7 +10492,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyDeclarations __Pyx_RefNannySetupContext("set_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1023 * * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! # <<<<<<<<<<<<<< @@ -10501,7 +10501,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ Py_INCREF(__pyx_v_base); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1024 * cdef inline void set_array_base(ndarray arr, object base): * Py_INCREF(base) # important to do this before stealing the reference below! * PyArray_SetBaseObject(arr, base) # <<<<<<<<<<<<<< @@ -10510,7 +10510,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a */ (void)(PyArray_SetBaseObject(__pyx_v_arr, __pyx_v_base)); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1022 * int _import_umath() except -1 * * cdef inline void set_array_base(ndarray arr, object base): # <<<<<<<<<<<<<< @@ -10522,7 +10522,7 @@ static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_a __Pyx_RefNannyFinishContext(); } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -10537,7 +10537,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py int __pyx_t_1; __Pyx_RefNannySetupContext("get_array_base", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1027 * * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) # <<<<<<<<<<<<<< @@ -10546,7 +10546,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ __pyx_v_base = PyArray_BASE(__pyx_v_arr); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -10556,7 +10556,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_t_1 = ((__pyx_v_base == NULL) != 0); if (__pyx_t_1) { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1029 * base = PyArray_BASE(arr) * if base is NULL: * return None # <<<<<<<<<<<<<< @@ -10567,7 +10567,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = Py_None; __Pyx_INCREF(Py_None); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1028 * cdef inline object get_array_base(ndarray arr): * base = PyArray_BASE(arr) * if base is NULL: # <<<<<<<<<<<<<< @@ -10576,7 +10576,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py */ } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1030 * if base is NULL: * return None * return base # <<<<<<<<<<<<<< @@ -10588,7 +10588,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py __pyx_r = ((PyObject *)__pyx_v_base); goto __pyx_L0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1026 * PyArray_SetBaseObject(arr, base) * * cdef inline object get_array_base(ndarray arr): # <<<<<<<<<<<<<< @@ -10603,7 +10603,7 @@ static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__py return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -10624,7 +10624,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_array", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -10640,7 +10640,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1036 * cdef inline int import_array() except -1: * try: * _import_array() # <<<<<<<<<<<<<< @@ -10649,7 +10649,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { */ __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1036, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -10663,7 +10663,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1037 * try: * _import_array() * except Exception: # <<<<<<<<<<<<<< @@ -10678,7 +10678,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -10694,7 +10694,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1035 * # Cython code. * cdef inline int import_array() except -1: * try: # <<<<<<<<<<<<<< @@ -10709,7 +10709,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1034 * # Versions of the import_* functions which are more suitable for * # Cython code. * cdef inline int import_array() except -1: # <<<<<<<<<<<<<< @@ -10732,7 +10732,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -10753,7 +10753,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { PyObject *__pyx_t_8 = NULL; __Pyx_RefNannySetupContext("import_umath", 0); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -10769,7 +10769,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_XGOTREF(__pyx_t_3); /*try:*/ { - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1042 * cdef inline int import_umath() except -1: * try: * _import_umath() # <<<<<<<<<<<<<< @@ -10778,7 +10778,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { */ __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1042, __pyx_L3_error) - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -10792,7 +10792,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L8_try_end; __pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1043 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -10807,7 +10807,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -10823,7 +10823,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1041 * * cdef inline int import_umath() except -1: * try: # <<<<<<<<<<<<<< @@ -10838,7 +10838,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1040 * raise ImportError("numpy.core.multiarray failed to import") * * cdef inline int import_umath() except -1: # <<<<<<<<<<<<<< @@ -10861,7 +10861,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) { return __pyx_r; } -/* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 +/* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -10882,7 +10882,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { PyObject *__pyx_t_8 = NULL; 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__pyx_L3_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1049 * try: * _import_umath() * except Exception: # <<<<<<<<<<<<<< @@ -10935,7 +10935,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __Pyx_GOTREF(__pyx_t_6); __Pyx_GOTREF(__pyx_t_7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1050 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -10949,7 +10949,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { goto __pyx_L5_except_error; __pyx_L5_except_error:; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1047 * * cdef inline int import_ufunc() except -1: * try: # <<<<<<<<<<<<<< @@ -10964,7 +10964,7 @@ static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) { __pyx_L8_try_end:; } - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -11158,7 +11158,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple_); __Pyx_GIVEREF(__pyx_tuple_); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":272 * if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_C_CONTIGUOUS)): * raise ValueError(u"ndarray is not C contiguous") # <<<<<<<<<<<<<< @@ -11169,7 +11169,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__2); __Pyx_GIVEREF(__pyx_tuple__2); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":276 * if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS) * and not PyArray_CHKFLAGS(self, NPY_ARRAY_F_CONTIGUOUS)): * raise ValueError(u"ndarray is not Fortran contiguous") # <<<<<<<<<<<<<< @@ -11180,7 +11180,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__3); __Pyx_GIVEREF(__pyx_tuple__3); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":306 * if ((descr.byteorder == c'>' and little_endian) or * (descr.byteorder == c'<' and not little_endian)): * raise ValueError(u"Non-native byte order not supported") # <<<<<<<<<<<<<< @@ -11191,7 +11191,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__4); __Pyx_GIVEREF(__pyx_tuple__4); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":856 * * if (end - f) - (new_offset - offset[0]) < 15: * raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") # <<<<<<<<<<<<<< @@ -11202,7 +11202,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__5); __Pyx_GIVEREF(__pyx_tuple__5); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":880 * t = child.type_num * if end - f < 5: * raise RuntimeError(u"Format string allocated too short.") # <<<<<<<<<<<<<< @@ -11213,7 +11213,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__6); __Pyx_GIVEREF(__pyx_tuple__6); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1038 * _import_array() * except Exception: * raise ImportError("numpy.core.multiarray failed to import") # <<<<<<<<<<<<<< @@ -11224,7 +11224,7 @@ static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) { __Pyx_GOTREF(__pyx_tuple__7); __Pyx_GIVEREF(__pyx_tuple__7); - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1044 * _import_umath() * except Exception: * raise ImportError("numpy.core.umath failed to import") # <<<<<<<<<<<<<< @@ -11995,7 +11995,7 @@ if (!__Pyx_RefNanny) { if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_7) < 0) __PYX_ERR(0, 1, __pyx_L1_error) __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0; - /* "../../.virtualenvs/release/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 + /* "../../.virtualenvs/aaa/local/lib/python2.7/site-packages/Cython/Includes/numpy/__init__.pxd":1046 * raise ImportError("numpy.core.umath failed to import") * * cdef inline int import_ufunc() except -1: # <<<<<<<<<<<<<< @@ -13716,7 +13716,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned P theta = 0; } else { r = -a.real; - theta = atan2f(0, -1); + theta = atan2f(0.0, -1.0); } } else { r = __Pyx_c_abs_float(a); @@ -13871,7 +13871,7 @@ static CYTHON_INLINE PyObject* __Pyx_PyInt_From_unsigned_PY_LONG_LONG(unsigned P theta = 0; } else { r = -a.real; - theta = atan2(0, -1); + theta = atan2(0.0, -1.0); } } else { r = __Pyx_c_abs_double(a); From e4154642049744e8ad9f9bc9d98995ab6982a156 Mon Sep 17 00:00:00 2001 From: Christoph Gohlke Date: Thu, 31 Jan 2019 18:44:24 -0800 Subject: [PATCH 17/31] Fix `stdint_wrapper.h` missing in sdist (#2367) --- MANIFEST.in | 1 + 1 file changed, 1 insertion(+) diff --git a/MANIFEST.in b/MANIFEST.in index fe5947fbe2..2ad20ee9f8 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -6,6 +6,7 @@ include COPYING.LESSER include ez_setup.py include gensim/models/voidptr.h +include gensim/models/stdint_wrapper.h include gensim/models/fast_line_sentence.h include gensim/models/word2vec_inner.c From 21376a48b6bd205527ace67cf4dcbbb81b694b7c Mon Sep 17 00:00:00 2001 From: Gordon Mohr Date: Thu, 31 Jan 2019 19:49:04 -0800 Subject: [PATCH 18/31] Don't override `Doc2Vec.infer_vector` defaults in `Doc2VecKeyedVectors.similarity_unseen_documents` (#2366) --- gensim/models/keyedvectors.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gensim/models/keyedvectors.py b/gensim/models/keyedvectors.py index 5543343823..1428503c8a 100644 --- a/gensim/models/keyedvectors.py +++ b/gensim/models/keyedvectors.py @@ -1814,7 +1814,7 @@ def distances(self, d1, other_docs=()): other_vectors = self[other_docs] return 1 - WordEmbeddingsKeyedVectors.cosine_similarities(input_vector, other_vectors) - def similarity_unseen_docs(self, model, doc_words1, doc_words2, alpha=0.1, min_alpha=0.0001, steps=5): + def similarity_unseen_docs(self, model, doc_words1, doc_words2, alpha=None, min_alpha=None, steps=None): """Compute cosine similarity between two post-bulk out of training documents. Parameters From 90ae733cac0e9f301683c65107a6adc2536b6c43 Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Tue, 5 Feb 2019 14:58:39 +1100 Subject: [PATCH 19/31] fix loading native model with pretrained vectors --- gensim/models/fasttext.py | 17 ++++++++++++-- gensim/test/test_data/pretrained.vec | 2 ++ .../test/test_data/toy-model-pretrained.vec | 4 ++++ gensim/test/test_fasttext.py | 23 +++++++++++++++++++ 4 files changed, 44 insertions(+), 2 deletions(-) create mode 100644 gensim/test/test_data/pretrained.vec create mode 100644 gensim/test/test_data/toy-model-pretrained.vec diff --git a/gensim/models/fasttext.py b/gensim/models/fasttext.py index 712ad93a0c..9339229a2b 100644 --- a/gensim/models/fasttext.py +++ b/gensim/models/fasttext.py @@ -1264,8 +1264,21 @@ def _load_fasttext_format(model_file, encoding='utf-8', full_model=True): model.vocabulary.raw_vocab = m.raw_vocab model.vocabulary.nwords = m.nwords model.vocabulary.vocab_size = m.vocab_size - model.vocabulary.prepare_vocab(model.hs, model.negative, model.wv, - update=True, min_count=model.min_count) + + # + # We explicitly set min_count=1 regardless of the model's parameters to + # ignore the trim rule when building the vocabulary. We do this in order + # to support loading native models that were trained with pretrained vectors. + # Such models will contain vectors for _all_ encountered words, not only + # those occurring more frequently than min_count. + # + # Native models trained _without_ pretrained vectors already contain the + # trimmed raw_vocab, so this change does not affect them. + # + model.vocabulary.prepare_vocab( + model.hs, model.negative, model.wv, + update=True, min_count=1, + ) model.num_original_vectors = m.vectors_ngrams.shape[0] diff --git a/gensim/test/test_data/pretrained.vec b/gensim/test/test_data/pretrained.vec new file mode 100644 index 0000000000..d38bd8529b --- /dev/null +++ b/gensim/test/test_data/pretrained.vec @@ -0,0 +1,2 @@ +3 5 +dummy 0.069324 0.18155 0.080453 -0.1799 0.032043 diff --git a/gensim/test/test_data/toy-model-pretrained.vec b/gensim/test/test_data/toy-model-pretrained.vec new file mode 100644 index 0000000000..61d124763a --- /dev/null +++ b/gensim/test/test_data/toy-model-pretrained.vec @@ -0,0 +1,4 @@ +3 5 +anarchist 0.069324 0.18155 0.080453 -0.1799 0.032043 +anarchism 0.053744 0.16174 0.085072 -0.16948 0.060652 +anarchists 0.058975 0.16489 0.056698 -0.17042 0.047557 diff --git a/gensim/test/test_fasttext.py b/gensim/test/test_fasttext.py index 5437a9b3c8..6e610e8eaf 100644 --- a/gensim/test/test_fasttext.py +++ b/gensim/test/test_fasttext.py @@ -1114,6 +1114,29 @@ def test_save_load_native(self): model.save(model_name) + def test_load_native_pretrained(self): + model = FT_gensim.load_fasttext_format(datapath('toy-model-pretrained.bin')) + actual = model['monarchist'] + expected = np.array([0.76222, 1.0669, 0.7055, -0.090969, -0.53508]) + self.assertTrue(np.allclose(expected, actual, atol=10e-4)) + + +def _train_model_with_pretrained_vectors(): + """Generates toy-model-pretrained.bin for use in test_load_native_pretrained. + + Requires https://github.com/facebookresearch/fastText/tree/master/python to be installed. + + """ + import fastText + + training_text = datapath('toy-data.txt') + pretrained_file = datapath('pretrained.vec') + model = fastText.train_unsupervised( + training_text, + bucket=100, model='skipgram', dim=5, pretrainedVectors=pretrained_file + ) + model.save_model(datapath('toy-model-pretrained.bin')) + class HashCompatibilityTest(unittest.TestCase): def test_compatibility_true(self): From 27b8f51b87904a72dc2d0653df599a750770f611 Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Tue, 5 Feb 2019 15:17:08 +1100 Subject: [PATCH 20/31] add required file, remove unneeded file --- gensim/test/test_data/toy-model-pretrained.bin | Bin 0 -> 3418 bytes gensim/test/test_data/toy-model-pretrained.vec | 4 ---- 2 files changed, 4 deletions(-) create mode 100644 gensim/test/test_data/toy-model-pretrained.bin delete mode 100644 gensim/test/test_data/toy-model-pretrained.vec diff --git a/gensim/test/test_data/toy-model-pretrained.bin b/gensim/test/test_data/toy-model-pretrained.bin new file mode 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++ gensim/test/test_fasttext.py | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/gensim/models/fasttext.py b/gensim/models/fasttext.py index 9339229a2b..7fd1db6dbc 100644 --- a/gensim/models/fasttext.py +++ b/gensim/models/fasttext.py @@ -1265,6 +1265,8 @@ def _load_fasttext_format(model_file, encoding='utf-8', full_model=True): model.vocabulary.nwords = m.nwords model.vocabulary.vocab_size = m.vocab_size + # + # This is here to fix https://github.com/RaRe-Technologies/gensim/pull/2373. # # We explicitly set min_count=1 regardless of the model's parameters to # ignore the trim rule when building the vocabulary. We do this in order diff --git a/gensim/test/test_fasttext.py b/gensim/test/test_fasttext.py index 6e610e8eaf..71c6d55feb 100644 --- a/gensim/test/test_fasttext.py +++ b/gensim/test/test_fasttext.py @@ -1122,7 +1122,7 @@ def test_load_native_pretrained(self): def _train_model_with_pretrained_vectors(): - """Generates toy-model-pretrained.bin for use in test_load_native_pretrained. + """Generate toy-model-pretrained.bin for use in test_load_native_pretrained. Requires https://github.com/facebookresearch/fastText/tree/master/python to be installed. From 12110715c6e36f02d13bb82fd5382e7f9153686b Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Wed, 13 Feb 2019 13:10:04 +0900 Subject: [PATCH 22/31] handle UnicodeDecodeError when loading vocab --- gensim/models/_fasttext_bin.py | 13 +++++-- gensim/test/test_fasttext.py | 66 ++++++++++++++++++++++++++++++++++ 2 files changed, 77 insertions(+), 2 deletions(-) diff --git a/gensim/models/_fasttext_bin.py b/gensim/models/_fasttext_bin.py index 2dae20d101..e44b293b11 100644 --- a/gensim/models/_fasttext_bin.py +++ b/gensim/models/_fasttext_bin.py @@ -35,6 +35,11 @@ import numpy as np +_UNICODE_REPLACE = u'\ufffd' +"""The character Python's unicode handling uses to denote characters that couldn't be decoded.""" + +_END_OF_WORD_MARKER = b'\x00' + logger = logging.getLogger(__name__) _FASTTEXT_FILEFORMAT_MAGIC = 793712314 @@ -171,10 +176,14 @@ def _load_vocab(fin, new_format, encoding='utf-8'): word_bytes = b'' char_byte = fin.read(1) # Read vocab word - while char_byte != b'\x00': + while char_byte != _END_OF_WORD_MARKER: word_bytes += char_byte char_byte = fin.read(1) - word = word_bytes.decode(encoding) + try: + word = word_bytes.decode(encoding) + except UnicodeDecodeError: + word = word_bytes.decode(encoding, errors='replace').replace(_UNICODE_REPLACE, '') + logger.error('unable to cleanly decode bytes %r to word %r', word_bytes, word) count, _ = _struct_unpack(fin, '@qb') raw_vocab[word] = count diff --git a/gensim/test/test_fasttext.py b/gensim/test/test_fasttext.py index 71c6d55feb..4a1056a109 100644 --- a/gensim/test/test_fasttext.py +++ b/gensim/test/test_fasttext.py @@ -2,6 +2,7 @@ # -*- coding: utf-8 -*- from __future__ import division +import io import logging import unittest import os @@ -19,6 +20,8 @@ from gensim.models.wrappers.fasttext import FastText as FT_wrapper from gensim.models.keyedvectors import Word2VecKeyedVectors from gensim.test.utils import datapath, get_tmpfile, temporary_file, common_texts as sentences +import gensim.models._fasttext_bin + try: from pyemd import emd # noqa:F401 @@ -1209,6 +1212,69 @@ def test_out_of_vocab(self): self.assertRaises(KeyError, model.wv.word_vec, 'streamtrain') +class UnicodeVocabTest(unittest.TestCase): + def test_ascii(self): + buf = io.BytesIO() + buf.name = 'dummy name to keep fasttext happy' + buf.write(struct.pack('@3i', 2, -1, -1)) # vocab_size, nwords, nlabels + buf.write(struct.pack('@1q', -1)) + buf.write(b'hello') + buf.write(b'\x00') + buf.write(struct.pack('@qb', 1, -1)) + buf.write(b'world') + buf.write(b'\x00') + buf.write(struct.pack('@qb', 2, -1)) + buf.seek(0) + + raw_vocab, vocab_size, nlabels = gensim.models._fasttext_bin._load_vocab(buf, False) + expected = {'hello': 1, 'world': 2} + self.assertEqual(expected, dict(raw_vocab)) + + self.assertEqual(vocab_size, 2) + self.assertEqual(nlabels, -1) + + def test_bad_unicode(self): + buf = io.BytesIO() + buf.name = 'dummy name to keep fasttext happy' + buf.write(struct.pack('@3i', 2, -1, -1)) # vocab_size, nwords, nlabels + buf.write(struct.pack('@1q', -1)) + # + # encountered in https://github.com/RaRe-Technologies/gensim/issues/2378 + # The model from downloaded from + # https://s3-us-west-1.amazonaws.com/fasttext-vectors/wiki-news-300d-1M-subword.bin.zip + # suffers from bad characters in a few of the vocab terms. The native + # fastText utility loads the model fine, but we trip up over the bad + # characters. + # + buf.write( + b'\xe8\x8b\xb1\xe8\xaa\x9e\xe7\x89\x88\xe3\x82\xa6\xe3\x82\xa3\xe3' + b'\x82\xad\xe3\x83\x9a\xe3\x83\x87\xe3\x82\xa3\xe3\x82\xa2\xe3\x81' + b'\xb8\xe3\x81\xae\xe6\x8a\x95\xe7\xa8\xbf\xe3\x81\xaf\xe3\x81\x84' + b'\xe3\x81\xa4\xe3\x81\xa7\xe3\x82\x82\xe6' + ) + buf.write(b'\x00') + buf.write(struct.pack('@qb', 1, -1)) + buf.write( + b'\xd0\xb0\xd0\xb4\xd0\xbc\xd0\xb8\xd0\xbd\xd0\xb8\xd1\x81\xd1\x82' + b'\xd1\x80\xd0\xb0\xd1\x82\xd0\xb8\xd0\xb2\xd0\xbd\xd0\xbe-\xd1\x82' + b'\xd0\xb5\xd1\x80\xd1\x80\xd0\xb8\xd1\x82\xd0\xbe\xd1\x80\xd0\xb8' + b'\xd0\xb0\xd0\xbb\xd1\x8c\xd0\xbd\xd1' + ) + buf.write(b'\x00') + buf.write(struct.pack('@qb', 2, -1)) + buf.seek(0) + + raw_vocab, vocab_size, nlabels = gensim.models._fasttext_bin._load_vocab(buf, False) + expected = { + u'英語版ウィキペディアへの投稿はいつでも': 1, + u'административно-территориальн': 2, + } + self.assertEqual(expected, dict(raw_vocab)) + + self.assertEqual(vocab_size, 2) + self.assertEqual(nlabels, -1) + + if __name__ == '__main__': logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.DEBUG) unittest.main() From 6dc4aeff2d91416eb7b8c5b787f8808544880627 Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Wed, 13 Feb 2019 13:23:09 +0900 Subject: [PATCH 23/31] avoid byte concatenation --- gensim/models/_fasttext_bin.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/gensim/models/_fasttext_bin.py b/gensim/models/_fasttext_bin.py index e44b293b11..10d1a602b6 100644 --- a/gensim/models/_fasttext_bin.py +++ b/gensim/models/_fasttext_bin.py @@ -30,6 +30,7 @@ """ import collections +import io import logging import struct @@ -173,12 +174,14 @@ def _load_vocab(fin, new_format, encoding='utf-8'): raw_vocab = collections.OrderedDict() for i in range(vocab_size): - word_bytes = b'' + word_bytes = io.BytesIO() char_byte = fin.read(1) - # Read vocab word + while char_byte != _END_OF_WORD_MARKER: - word_bytes += char_byte + word_bytes.write(char_byte) char_byte = fin.read(1) + + word_bytes = word_bytes.getvalue() try: word = word_bytes.decode(encoding) except UnicodeDecodeError: From edbe7d0dee8a8314b2eecb094102f2223f64cd8b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Radim=20=C5=98eh=C5=AF=C5=99ek?= Date: Fri, 15 Feb 2019 11:31:18 +0100 Subject: [PATCH 24/31] Update ISSUE_TEMPLATE.md (#2386) * Update ISSUE_TEMPLATE.md * Update ISSUE_TEMPLATE.md * Update ISSUE_TEMPLATE.md Co-Authored-By: piskvorky --- ISSUE_TEMPLATE.md | 47 ++++++++++++++--------------------------------- 1 file changed, 14 insertions(+), 33 deletions(-) diff --git a/ISSUE_TEMPLATE.md b/ISSUE_TEMPLATE.md index 44eaefb24f..8fa0214517 100644 --- a/ISSUE_TEMPLATE.md +++ b/ISSUE_TEMPLATE.md @@ -1,48 +1,29 @@ - - +**IMPORTANT**: -#### Description -TODO: change commented example - - -#### Steps/Code/Corpus to Reproduce - -#### Expected Results - +#### Problem description -#### Actual Results - +#### Steps/code/corpus to reproduce + +Include full tracebacks, logs and datasets if necessary. Please keep the examples minimal ("minimal reproducible example"). #### Versions - - - - - +``` From 295e501f9f0f115e9c21f1f6ac9677d94cd878fc Mon Sep 17 00:00:00 2001 From: gjlondon Date: Sat, 16 Feb 2019 13:38:58 -0800 Subject: [PATCH 25/31] Add a link to run tutorial notebooks on Binder BinderHub is a free (at least for the time being) service that'll automatically provision and run containers that allow notebooks in github repos to be run in a browser with no user installation required. It's a neat project, and I figure this adding this link will lower the barrier to entry for new users. --- docs/src/tut1.rst | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/docs/src/tut1.rst b/docs/src/tut1.rst index 992858ffad..71d5b03145 100644 --- a/docs/src/tut1.rst +++ b/docs/src/tut1.rst @@ -5,7 +5,12 @@ Corpora and Vector Spaces This tutorial is available as a Jupyter Notebook `here `_. -Don't forget to set +Or run these notebooks online (no installation required) via the Binder project: + +.. image:: https://mybinder.org/badge_logo.svg + :target: https://mybinder.org/v2/gh/RaRe-Technologies/gensim/master + +| Don't forget to set >>> import logging >>> logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO) From b67e9782506bf2ec3d4a3b8ae0dadf458776c0a2 Mon Sep 17 00:00:00 2001 From: gjlondon Date: Sat, 16 Feb 2019 13:41:54 -0800 Subject: [PATCH 26/31] Add a binder link to the main tutorial page as well --- docs/src/tutorial.rst | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/src/tutorial.rst b/docs/src/tutorial.rst index 3ec9631153..83ccd86c3f 100644 --- a/docs/src/tutorial.rst +++ b/docs/src/tutorial.rst @@ -30,6 +30,11 @@ priority levels; to activate logging (this is optional), run >>> import logging >>> logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO) +Many of the topics in these tutorials are also presented in Jupyter notebooks, which can be run in your browser via the Binder project (no installation required) by clicking here: + +.. image:: https://mybinder.org/badge_logo.svg + :target: https://mybinder.org/v2/gh/RaRe-Technologies/gensim/master + .. _first-example: From e147a66274bd9e21462abcca8982ad7709c108c6 Mon Sep 17 00:00:00 2001 From: gjlondon Date: Sat, 16 Feb 2019 13:53:05 -0800 Subject: [PATCH 27/31] Make binder paths more specific --- docs/src/tut1.rst | 4 ++-- docs/src/tutorial.rst | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/src/tut1.rst b/docs/src/tut1.rst index 71d5b03145..394cf113c1 100644 --- a/docs/src/tut1.rst +++ b/docs/src/tut1.rst @@ -5,10 +5,10 @@ Corpora and Vector Spaces This tutorial is available as a Jupyter Notebook `here `_. -Or run these notebooks online (no installation required) via the Binder project: +Or run this notebook online (no installation required) via the Binder project: .. image:: https://mybinder.org/badge_logo.svg - :target: https://mybinder.org/v2/gh/RaRe-Technologies/gensim/master + :target: https://mybinder.org/v2/gh/RaRe-Technologies/gensim/master?filepath=%2Fdocs%2Fnotebooks%2FCorpora_and_Vector_Spaces.ipynb | Don't forget to set diff --git a/docs/src/tutorial.rst b/docs/src/tutorial.rst index 83ccd86c3f..a66d7dbac3 100644 --- a/docs/src/tutorial.rst +++ b/docs/src/tutorial.rst @@ -33,7 +33,7 @@ priority levels; to activate logging (this is optional), run Many of the topics in these tutorials are also presented in Jupyter notebooks, which can be run in your browser via the Binder project (no installation required) by clicking here: .. image:: https://mybinder.org/badge_logo.svg - :target: https://mybinder.org/v2/gh/RaRe-Technologies/gensim/master + :target: https://mybinder.org/v2/gh/RaRe-Technologies/gensim/master?filepath=%2Fdocs%2Fnotebooks .. _first-example: From 2983a552cccde8ccd0738c4ccefa25c4e3f8bd8d Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Wed, 20 Feb 2019 15:01:45 +0900 Subject: [PATCH 28/31] respond to review comments --- gensim/models/_fasttext_bin.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/gensim/models/_fasttext_bin.py b/gensim/models/_fasttext_bin.py index 10d1a602b6..7c524182c4 100644 --- a/gensim/models/_fasttext_bin.py +++ b/gensim/models/_fasttext_bin.py @@ -36,9 +36,6 @@ import numpy as np -_UNICODE_REPLACE = u'\ufffd' -"""The character Python's unicode handling uses to denote characters that couldn't be decoded.""" - _END_OF_WORD_MARKER = b'\x00' logger = logging.getLogger(__name__) @@ -185,8 +182,11 @@ def _load_vocab(fin, new_format, encoding='utf-8'): try: word = word_bytes.decode(encoding) except UnicodeDecodeError: - word = word_bytes.decode(encoding, errors='replace').replace(_UNICODE_REPLACE, '') - logger.error('unable to cleanly decode bytes %r to word %r', word_bytes, word) + word = word_bytes.decode(encoding, errors='ignore') + logger.error( + 'failed to decode invalid unicode bytes %r; ignoring invalid characters, using %r', + word_bytes, word + ) count, _ = _struct_unpack(fin, '@qb') raw_vocab[word] = count From dd8aae9234c94c363f55c3673a9682bcbb22a9d2 Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Wed, 20 Feb 2019 17:03:09 +0900 Subject: [PATCH 29/31] flake8 --- gensim/models/_fasttext_bin.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/gensim/models/_fasttext_bin.py b/gensim/models/_fasttext_bin.py index 7c524182c4..d8d84131a3 100644 --- a/gensim/models/_fasttext_bin.py +++ b/gensim/models/_fasttext_bin.py @@ -184,9 +184,9 @@ def _load_vocab(fin, new_format, encoding='utf-8'): except UnicodeDecodeError: word = word_bytes.decode(encoding, errors='ignore') logger.error( - 'failed to decode invalid unicode bytes %r; ignoring invalid characters, using %r', - word_bytes, word - ) + 'failed to decode invalid unicode bytes %r; ignoring invalid characters, using %r', + word_bytes, word + ) count, _ = _struct_unpack(fin, '@qb') raw_vocab[word] = count From 03fe8e2655d93a0216a95be692b21e01805a15bf Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Thu, 21 Feb 2019 10:22:01 +0900 Subject: [PATCH 30/31] Update CHANGELOG.md --- CHANGELOG.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index d1e3f2cca2..39d93eb5d2 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,12 @@ Changes =========== + +## Unreleased + +### :red_circle: Bug fixes + +* Fix unicode error when loading FastText vocabulary (__[@mpenkov](https://github.com/mpenkov)__, [#2390](https://github.com/RaRe-Technologies/gensim/pull/2390)) + ## 3.7.1, 2019-01-31 ### :+1: Improvements From b86807382dd366f1a4dd80baee7d1c5101bf29b1 Mon Sep 17 00:00:00 2001 From: Michael Penkov Date: Thu, 21 Feb 2019 10:30:57 +0900 Subject: [PATCH 31/31] Update CHANGELOG.md --- CHANGELOG.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 39d93eb5d2..f0d8fca90f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,10 @@ Changes * Fix unicode error when loading FastText vocabulary (__[@mpenkov](https://github.com/mpenkov)__, [#2390](https://github.com/RaRe-Technologies/gensim/pull/2390)) +### :books: Tutorial and doc improvements + +* Add link to bindr (__[rogueleaderr](https://github.com/rogueleaderr)__, [#2387](https://github.com/RaRe-Technologies/gensim/pull/2387)) + ## 3.7.1, 2019-01-31 ### :+1: Improvements