input args data type conflict

[YaungLiu]

Hi,

I would like to ask about an error of 'incompatible function arguments'.
It suggests only the following argument types are supported: 1. (arg0: numpy.ndarray[numpy.int64], arg1: numpy.ndarray[numpy.float64], arg2: numpy.ndarray[numpy.float64], arg3: int, arg4: int, arg5: str, arg6: int) Tuple[numpy.ndarray[numpy.int32], numpy.ndarray[numpy.int32]]
when I used numpy.array.

So I changed from numpy.array to numpy.ndarray, but it raises another error of ValueError: maximum supported dimension for an ndarray is 32, found 390577

The following is my script.

`from pcst_fast import pcst_fast
import numpy as np
import pickle5 as pickle

edge = pickle.load(open('edge.pickle', 'rb'))
prizes = pickle.load(open('prize.pickle', 'rb'))

edges = []
costs = []
for (gene1, gene2) in edge:
edges.append([gene1, gene2])
costs.append(edge[(gene1, gene2)])

edges = np.ndarray(edges, dtype='int64')
costs = np.ndarray(costs, dtype='float64')
prize = np.ndarray(prizes, dtype='float64')

verticess, edgess = pcst_fast(edges, prize, costs, root=-1, num_clusters=3, pruning='strong', verbosity_level=3)
print(verticess)
print(edgess)
`

[YaungLiu]

I checked your example and it seems that the input prize and edge should be python list rather than array. It fixed now. Thank you.