From d588f6a1765bd847c989452417c564ca8a4f7d80 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Fabian=20W=C3=BCllhorst?=
 <fabian.wuellhorst@eonerc.rwth-aachen.de>
Date: Fri, 19 Jan 2024 08:43:13 +0000
Subject: [PATCH] Update 'docs' folder with
 43-Improvement-of-sensitivity-analysis and delete old branches.

---
 .../d_88c635a12c52f913___init___py.html       |   4 +-
 .../d_88c635a12c52f913_calibrator_py.html     |   4 +-
 ...5a12c52f913_multi_class_calibrator_py.html |   4 +-
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 .../d_c1d4b9f643948c74_visualizer_py.html     |   4 +-
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 .../d_e6a0ac89e88ff9fe_data_types_py.html     |   4 +-
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 ...34ebd7e0d50e1_sensitivity_analyzer_py.html | 763 +++++++++---------
 .../coverage/d_f4434ebd7e0d50e1_sobol_py.html |   4 +-
 .../coverage/index.html                       |  18 +-
 .../coverage/status.json                      |   2 +-
 .../docs/.doctrees/environment.pickle         | Bin 3301738 -> 3301957 bytes
 .../sensitivity_analyzer.html                 |   3 +
 .../pylint/pylint.html                        |  52 +-
 .../pylint/pylint.json                        | 197 ++---
 .../pylint/pylint.svg                         |  12 +-
 .../pylint/pylint.txt                         |  20 +-
 23 files changed, 582 insertions(+), 557 deletions(-)

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diff --git a/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_fast_py.html b/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_fast_py.html
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diff --git a/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_morris_py.html b/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_morris_py.html
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diff --git a/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_pawn_py.html b/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_pawn_py.html
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@@ -65,7 +65,7 @@ <h2>
             <a id="nextFileLink" class="nav" href="d_f4434ebd7e0d50e1_sensitivity_analyzer_py.html">&#xbb; next</a>
             &nbsp; &nbsp; &nbsp;
             <a class="nav" href="https://coverage.readthedocs.io/en/7.4.0">coverage.py v7.4.0</a>,
-            created at 2024-01-18 15:36 +0000
+            created at 2024-01-19 08:34 +0000
         </p>
         <aside class="hidden">
             <button type="button" class="button_next_chunk" data-shortcut="j"/>
@@ -475,15 +475,15 @@ <h2>
     <p class="run"><span class="n"><a id="t393" href="#t393">393</a></span><span class="t">                    <span class="nam">conv_int</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">goal</span><span class="op">,</span> <span class="nam">analysis_var</span> <span class="op">+</span> <span class="str">'_conf'</span><span class="op">]</span><span class="op">[</span><span class="nam">para</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t394" href="#t394">394</a></span><span class="t">                    <span class="nam">large_values_indices</span> <span class="op">=</span> <span class="nam">conv_int</span><span class="op">[</span><span class="nam">conv_int</span> <span class="op">></span> <span class="num">1</span><span class="op">]</span><span class="op">.</span><span class="nam">index</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t395" href="#t395">395</a></span><span class="t">                    <span class="key">if</span> <span class="nam">list</span><span class="op">(</span><span class="nam">large_values_indices</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t396" href="#t396">396</a></span><span class="t">                        <span class="nam">sys</span><span class="op">.</span><span class="nam">stderr</span><span class="op">.</span><span class="nam">write</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t396" href="#t396">396</a></span><span class="t">                        <span class="nam">sys</span><span class="op">.</span><span class="nam">stderr</span><span class="op">.</span><span class="nam">write</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t397" href="#t397">397</a></span><span class="t">                            <span class="str">f"plot_time_dependent INFO:"</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t398" href="#t398">398</a></span><span class="t">                            <span class="str">f"Confidence interval for {goal}, {analysis_var}, {para} was at the "</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t399" href="#t399">399</a></span><span class="t">                            <span class="str">f"following times {list(large_values_indices)} lager than 1 "</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t400" href="#t400">400</a></span><span class="t">                            <span class="str">f"and is smoothed out in the plot.\n"</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t401" href="#t401">401</a></span><span class="t">                    <span class="key">for</span> <span class="nam">idx</span> <span class="key">in</span> <span class="nam">large_values_indices</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t402" href="#t402">402</a></span><span class="t">                        <span class="nam">prev_idx</span> <span class="op">=</span> <span class="nam">conv_int</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">idx</span><span class="op">)</span> <span class="op">-</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t403" href="#t403">403</a></span><span class="t">                        <span class="key">if</span> <span class="nam">prev_idx</span> <span class="op">>=</span> <span class="num">0</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t404" href="#t404">404</a></span><span class="t">                            <span class="nam">conv_int</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">conv_int</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">idx</span><span class="op">)</span><span class="op">]</span> <span class="op">=</span> <span class="nam">conv_int</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">prev_idx</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t402" href="#t402">402</a></span><span class="t">                        <span class="nam">prev_idx</span> <span class="op">=</span> <span class="nam">conv_int</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">idx</span><span class="op">)</span> <span class="op">-</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t403" href="#t403">403</a></span><span class="t">                        <span class="key">if</span> <span class="nam">prev_idx</span> <span class="op">>=</span> <span class="num">0</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t404" href="#t404">404</a></span><span class="t">                            <span class="nam">conv_int</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">conv_int</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">idx</span><span class="op">)</span><span class="op">]</span> <span class="op">=</span> <span class="nam">conv_int</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">prev_idx</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
     <p class="pln"><span class="n"><a id="t405" href="#t405">405</a></span><span class="t">                        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
     <p class="mis show_mis"><span class="n"><a id="t406" href="#t406">406</a></span><span class="t">                            <span class="nam">conv_int</span><span class="op">.</span><span class="nam">iloc</span><span class="op">[</span><span class="nam">conv_int</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_loc</span><span class="op">(</span><span class="nam">idx</span><span class="op">)</span><span class="op">]</span> <span class="op">=</span> <span class="num">1</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t407" href="#t407">407</a></span><span class="t">                    <span class="nam">axes</span><span class="op">[</span><span class="nam">idx_goal</span><span class="op">]</span><span class="op">[</span><span class="nam">idx_av</span><span class="op">]</span><span class="op">.</span><span class="nam">fill_between</span><span class="op">(</span><span class="nam">x</span><span class="op">,</span> <span class="op">(</span><span class="nam">y</span> <span class="op">-</span> <span class="nam">conv_int</span><span class="op">)</span><span class="op">,</span> <span class="op">(</span><span class="nam">y</span> <span class="op">+</span> <span class="nam">conv_int</span><span class="op">)</span><span class="op">,</span> <span class="nam">alpha</span><span class="op">=</span><span class="num">.1</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
@@ -641,7 +641,7 @@ <h2>
             <a id="nextFileLink" class="nav" href="d_f4434ebd7e0d50e1_sensitivity_analyzer_py.html">&#xbb; next</a>
             &nbsp; &nbsp; &nbsp;
             <a class="nav" href="https://coverage.readthedocs.io/en/7.4.0">coverage.py v7.4.0</a>,
-            created at 2024-01-18 15:36 +0000
+            created at 2024-01-19 08:34 +0000
         </p>
     </div>
 </footer>
diff --git a/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_sensitivity_analyzer_py.html b/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_sensitivity_analyzer_py.html
index 947e19cf..b1eb77a2 100644
--- a/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_sensitivity_analyzer_py.html
+++ b/docs/43-Improvement-of-sensitivity-analysis/coverage/d_f4434ebd7e0d50e1_sensitivity_analyzer_py.html
@@ -54,8 +54,8 @@ <h1>
             </div>
         </aside>
         <h2>
-            <span class="text">406 statements &nbsp;</span>
-            <button type="button" class="run button_toggle_run" value="run" data-shortcut="r" title="Toggle lines run">381<span class="text"> run</span></button>
+            <span class="text">407 statements &nbsp;</span>
+            <button type="button" class="run button_toggle_run" value="run" data-shortcut="r" title="Toggle lines run">382<span class="text"> run</span></button>
             <button type="button" class="mis show_mis button_toggle_mis" value="mis" data-shortcut="m" title="Toggle lines missing">25<span class="text"> missing</span></button>
             <button type="button" class="exc show_exc button_toggle_exc" value="exc" data-shortcut="x" title="Toggle lines excluded">5<span class="text"> excluded</span></button>
         </h2>
@@ -65,7 +65,7 @@ <h2>
             <a id="nextFileLink" class="nav" href="d_f4434ebd7e0d50e1_sobol_py.html">&#xbb; next</a>
             &nbsp; &nbsp; &nbsp;
             <a class="nav" href="https://coverage.readthedocs.io/en/7.4.0">coverage.py v7.4.0</a>,
-            created at 2024-01-18 15:36 +0000
+            created at 2024-01-19 08:34 +0000
         </p>
         <aside class="hidden">
             <button type="button" class="button_next_chunk" data-shortcut="j"/>
@@ -617,382 +617,385 @@ <h2>
     <p class="pln"><span class="n"><a id="t535" href="#t535">535</a></span><span class="t">                <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t536" href="#t536">536</a></span><span class="t">                <span class="nam">results_goals</span><span class="op">[</span><span class="nam">key</span><span class="op">]</span> <span class="op">=</span> <span class="nam">result_goal</span>&nbsp;</span><span class="r"></span></p>
     <p class="run"><span class="n"><a id="t537" href="#t537">537</a></span><span class="t">            <span class="nam">all_results</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">results_goals</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t538" href="#t538">538</a></span><span class="t">        <span class="nam">result</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_conv_local_results</span><span class="op">(</span><span class="nam">results</span><span class="op">=</span><span class="nam">all_results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t539" href="#t539">539</a></span><span class="t">                                          <span class="nam">local_classes</span><span class="op">=</span><span class="nam">calibration_classes</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t540" href="#t540">540</a></span><span class="t">        <span class="key">if</span> <span class="nam">save_results</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t541" href="#t541">541</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">_save</span><span class="op">(</span><span class="nam">result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t542" href="#t542">542</a></span><span class="t">        <span class="key">if</span> <span class="nam">plot_result</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="mis show_mis"><span class="n"><a id="t543" href="#t543">543</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">plot</span><span class="op">(</span><span class="nam">result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t544" href="#t544">544</a></span><span class="t">        <span class="key">return</span> <span class="nam">result</span><span class="op">,</span> <span class="nam">calibration_classes</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t545" href="#t545">545</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t546" href="#t546">546</a></span><span class="t">    <span class="key">def</span> <span class="nam">_save</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">:</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">time_dependent</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t547" href="#t547">547</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t548" href="#t548">548</a></span><span class="t"><span class="str">        Saves the result DataFrame of run and run_time_dependent.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t549" href="#t549">549</a></span><span class="t"><span class="str">        Needs to be overwritten for Sobol results.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t550" href="#t550">550</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t551" href="#t551">551</a></span><span class="t">        <span class="key">if</span> <span class="nam">time_dependent</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t552" href="#t552">552</a></span><span class="t">            <span class="nam">savepath_result</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">cd</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'{self.__class__.__name__}_results_time.csv'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t553" href="#t553">553</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t554" href="#t554">554</a></span><span class="t">            <span class="nam">savepath_result</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">cd</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'{self.__class__.__name__}_results.csv'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t555" href="#t555">555</a></span><span class="t">        <span class="nam">result</span><span class="op">.</span><span class="nam">to_csv</span><span class="op">(</span><span class="nam">savepath_result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t556" href="#t556">556</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">reproduction_files</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">savepath_result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t557" href="#t557">557</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t558" href="#t558">558</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t559" href="#t559">559</a></span><span class="t">    <span class="key">def</span> <span class="nam">create_problem</span><span class="op">(</span><span class="nam">tuner_paras</span><span class="op">,</span> <span class="nam">scale</span><span class="op">=</span><span class="key">False</span><span class="op">)</span> <span class="op">-></span> <span class="nam">dict</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t560" href="#t560">560</a></span><span class="t">        <span class="str">"""Create function for later access if multiple calibration-classes are used."""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t561" href="#t561">561</a></span><span class="t">        <span class="nam">num_vars</span> <span class="op">=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t562" href="#t562">562</a></span><span class="t">        <span class="nam">bounds</span> <span class="op">=</span> <span class="nam">np</span><span class="op">.</span><span class="nam">array</span><span class="op">(</span><span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_bounds</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t563" href="#t563">563</a></span><span class="t">        <span class="key">if</span> <span class="nam">scale</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="mis show_mis"><span class="n"><a id="t564" href="#t564">564</a></span><span class="t">            <span class="nam">bounds</span> <span class="op">=</span> <span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">zeros_like</span><span class="op">(</span><span class="nam">bounds</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">,</span> <span class="nam">np</span><span class="op">.</span><span class="nam">ones_like</span><span class="op">(</span><span class="nam">bounds</span><span class="op">[</span><span class="num">1</span><span class="op">]</span><span class="op">)</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t565" href="#t565">565</a></span><span class="t">        <span class="nam">problem</span> <span class="op">=</span> <span class="op">{</span><span class="str">'num_vars'</span><span class="op">:</span> <span class="nam">num_vars</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t566" href="#t566">566</a></span><span class="t">                   <span class="str">'names'</span><span class="op">:</span> <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t567" href="#t567">567</a></span><span class="t">                   <span class="str">'bounds'</span><span class="op">:</span> <span class="nam">np</span><span class="op">.</span><span class="nam">transpose</span><span class="op">(</span><span class="nam">bounds</span><span class="op">)</span><span class="op">}</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t568" href="#t568">568</a></span><span class="t">        <span class="key">return</span> <span class="nam">problem</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t569" href="#t569">569</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t570" href="#t570">570</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t571" href="#t571">571</a></span><span class="t">    <span class="key">def</span> <span class="nam">select_by_threshold</span><span class="op">(</span><span class="nam">calibration_classes</span><span class="op">,</span> <span class="nam">result</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">,</span> <span class="nam">threshold</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t572" href="#t572">572</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t573" href="#t573">573</a></span><span class="t"><span class="str">        Automatically select sensitive tuner parameters based on a given threshold</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t574" href="#t574">574</a></span><span class="t"><span class="str">        of a given analysis variable from a sensitivity result.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t575" href="#t575">575</a></span><span class="t"><span class="str">        Uses only the combined goals.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t576" href="#t576">576</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t577" href="#t577">577</a></span><span class="t"><span class="str">        :param list calibration_classes:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t578" href="#t578">578</a></span><span class="t"><span class="str">            List of aixcalibuha.data_types.CalibrationClass objects that you want to</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t579" href="#t579">579</a></span><span class="t"><span class="str">            automatically select sensitive tuner-parameters.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t580" href="#t580">580</a></span><span class="t"><span class="str">        :param pd.DataFrame result:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t581" href="#t581">581</a></span><span class="t"><span class="str">            Result object of sensitivity analysis run</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t582" href="#t582">582</a></span><span class="t"><span class="str">        :param str analysis_variable:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t583" href="#t583">583</a></span><span class="t"><span class="str">            Analysis variable to use for the selection</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t584" href="#t584">584</a></span><span class="t"><span class="str">        :param float threshold:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t585" href="#t585">585</a></span><span class="t"><span class="str">            Minimal required value of given key</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t586" href="#t586">586</a></span><span class="t"><span class="str">        :return: list calibration_classes</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t587" href="#t587">587</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t588" href="#t588">588</a></span><span class="t">        <span class="key">for</span> <span class="nam">cal_class</span> <span class="key">in</span> <span class="nam">calibration_classes</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t589" href="#t589">589</a></span><span class="t">            <span class="nam">first_goal</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_level_values</span><span class="op">(</span><span class="num">1</span><span class="op">)</span><span class="op">[</span><span class="num">0</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t590" href="#t590">590</a></span><span class="t">            <span class="nam">class_result</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">cal_class</span><span class="op">.</span><span class="nam">name</span><span class="op">,</span> <span class="nam">first_goal</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t591" href="#t591">591</a></span><span class="t">            <span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">copy</span><span class="op">.</span><span class="nam">deepcopy</span><span class="op">(</span><span class="nam">cal_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t592" href="#t592">592</a></span><span class="t">            <span class="nam">select_names</span> <span class="op">=</span> <span class="nam">class_result</span><span class="op">[</span><span class="nam">class_result</span> <span class="op">&lt;</span> <span class="nam">threshold</span><span class="op">]</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">values</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t593" href="#t593">593</a></span><span class="t">            <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">remove_names</span><span class="op">(</span><span class="nam">select_names</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t594" href="#t594">594</a></span><span class="t">            <span class="key">if</span> <span class="key">not</span> <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t595" href="#t595">595</a></span><span class="t">                <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t596" href="#t596">596</a></span><span class="t">                    <span class="str">'Automatic selection removed all tuner parameter '</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t597" href="#t597">597</a></span><span class="t">                    <span class="str">f'from class {cal_class.name} after '</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t598" href="#t598">598</a></span><span class="t">                    <span class="str">'SensitivityAnalysis was done. Please adjust the '</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t599" href="#t599">599</a></span><span class="t">                    <span class="str">'threshold in json or manually chose tuner '</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t600" href="#t600">600</a></span><span class="t">                    <span class="str">'parameters for the calibration.'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t601" href="#t601">601</a></span><span class="t">            <span class="com"># cal_class.set_tuner_paras(tuner_paras)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t602" href="#t602">602</a></span><span class="t">            <span class="nam">cal_class</span><span class="op">.</span><span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">tuner_paras</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t603" href="#t603">603</a></span><span class="t">        <span class="key">return</span> <span class="nam">calibration_classes</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t604" href="#t604">604</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t605" href="#t605">605</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t606" href="#t606">606</a></span><span class="t">    <span class="key">def</span> <span class="nam">select_by_threshold_verbose</span><span class="op">(</span><span class="nam">calibration_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t607" href="#t607">607</a></span><span class="t">                                    <span class="nam">result</span><span class="op">:</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t608" href="#t608">608</a></span><span class="t">                                    <span class="nam">analysis_variable</span><span class="op">:</span> <span class="nam">str</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t609" href="#t609">609</a></span><span class="t">                                    <span class="nam">threshold</span><span class="op">:</span> <span class="nam">float</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t610" href="#t610">610</a></span><span class="t">                                    <span class="nam">calc_names_for_selection</span><span class="op">:</span> <span class="nam">List</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t611" href="#t611">611</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t612" href="#t612">612</a></span><span class="t"><span class="str">        Select tuner-parameters of single calibration class with verbose sensitivity results.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t613" href="#t613">613</a></span><span class="t"><span class="str">        This function selects tuner-parameters if their sensitivity is equal or greater</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t614" href="#t614">614</a></span><span class="t"><span class="str">        than the threshold in just one target value of one calibration class in the</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t615" href="#t615">615</a></span><span class="t"><span class="str">        sensitivity result. This can be more robust because a small sensitivity in one target</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t616" href="#t616">616</a></span><span class="t"><span class="str">        value and state of the system can mean that the parameter can also be calibrated in</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t617" href="#t617">617</a></span><span class="t"><span class="str">        a global calibration class which calibrates multiple states and target values at</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t618" href="#t618">618</a></span><span class="t"><span class="str">        the same time and has there not directly the same sensitivity as in the isolated</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t619" href="#t619">619</a></span><span class="t"><span class="str">        view of a calibration class for only one state.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t620" href="#t620">620</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t621" href="#t621">621</a></span><span class="t"><span class="str">        :param CalibrationClass calibration_class:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t622" href="#t622">622</a></span><span class="t"><span class="str">            The calibration class from which the tuner parameters will be selected.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t623" href="#t623">623</a></span><span class="t"><span class="str">        :param pd.DataFrame result:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t624" href="#t624">624</a></span><span class="t"><span class="str">            Sensitivity results to use for the selection. Can include multiple classes.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t625" href="#t625">625</a></span><span class="t"><span class="str">        :param str analysis_variable:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t626" href="#t626">626</a></span><span class="t"><span class="str">            The analysis variable to use for the selection.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t627" href="#t627">627</a></span><span class="t"><span class="str">        :param float threshold:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t628" href="#t628">628</a></span><span class="t"><span class="str">            Minimal required value of given analysis variable.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t629" href="#t629">629</a></span><span class="t"><span class="str">        :param List[str] calc_names_for_selection:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t630" href="#t630">630</a></span><span class="t"><span class="str">            Specifies which calibration classes in the sensitivity results will be used for</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t631" href="#t631">631</a></span><span class="t"><span class="str">            the selection. Default are all classes.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t632" href="#t632">632</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t633" href="#t633">633</a></span><span class="t">        <span class="key">if</span> <span class="nam">Counter</span><span class="op">(</span><span class="nam">calibration_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">!=</span> <span class="nam">Counter</span><span class="op">(</span><span class="nam">list</span><span class="op">(</span><span class="nam">result</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t634" href="#t634">634</a></span><span class="t">            <span class="key">raise</span> <span class="nam">NameError</span><span class="op">(</span><span class="str">"The tuner-parameter of the calibration class do not "</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t635" href="#t635">635</a></span><span class="t">                            <span class="str">"match the tuner-parameters in the sensitivity result."</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t636" href="#t636">636</a></span><span class="t">                            <span class="str">"They have to match."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t637" href="#t637">637</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t638" href="#t638">638</a></span><span class="t">        <span class="nam">result</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="op">:</span><span class="op">,</span> <span class="op">:</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t639" href="#t639">639</a></span><span class="t">        <span class="nam">calc_names_results</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_level_values</span><span class="op">(</span><span class="str">"Class"</span><span class="op">)</span><span class="op">.</span><span class="nam">unique</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t640" href="#t640">640</a></span><span class="t">        <span class="key">if</span> <span class="nam">calc_names_for_selection</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t641" href="#t641">641</a></span><span class="t">            <span class="key">for</span> <span class="nam">cal_class</span> <span class="key">in</span> <span class="nam">calc_names_for_selection</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t642" href="#t642">642</a></span><span class="t">                <span class="key">if</span> <span class="nam">cal_class</span> <span class="key">not</span> <span class="key">in</span> <span class="nam">calc_names_results</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t643" href="#t643">643</a></span><span class="t">                    <span class="key">raise</span> <span class="nam">NameError</span><span class="op">(</span><span class="str">f"The calibration class name {cal_class} "</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t644" href="#t644">644</a></span><span class="t">                                    <span class="str">f"does not match any class name "</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t645" href="#t645">645</a></span><span class="t">                                    <span class="str">f"in the given sensitivity result."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t646" href="#t646">646</a></span><span class="t">            <span class="nam">result</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">calc_names_for_selection</span><span class="op">,</span> <span class="op">:</span><span class="op">,</span> <span class="op">:</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t647" href="#t647">647</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t648" href="#t648">648</a></span><span class="t">        <span class="nam">selected_tuners</span> <span class="op">=</span> <span class="op">(</span><span class="nam">result</span> <span class="op">>=</span> <span class="nam">threshold</span><span class="op">)</span><span class="op">.</span><span class="nam">any</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t649" href="#t649">649</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t650" href="#t650">650</a></span><span class="t">        <span class="nam">remove_tuners</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t651" href="#t651">651</a></span><span class="t">        <span class="key">for</span> <span class="nam">tuner</span><span class="op">,</span> <span class="nam">selected</span> <span class="key">in</span> <span class="nam">selected_tuners</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t652" href="#t652">652</a></span><span class="t">            <span class="key">if</span> <span class="key">not</span> <span class="nam">selected</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t653" href="#t653">653</a></span><span class="t">                <span class="nam">remove_tuners</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">tuner</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t654" href="#t654">654</a></span><span class="t">        <span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">copy</span><span class="op">.</span><span class="nam">deepcopy</span><span class="op">(</span><span class="nam">calibration_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t655" href="#t655">655</a></span><span class="t">        <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">remove_names</span><span class="op">(</span><span class="nam">remove_tuners</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t656" href="#t656">656</a></span><span class="t">        <span class="key">if</span> <span class="key">not</span> <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t657" href="#t657">657</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span><span class="str">"Threshold to small. All tuner-parameters would be removed."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t658" href="#t658">658</a></span><span class="t">        <span class="nam">calibration_class</span><span class="op">.</span><span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">tuner_paras</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t659" href="#t659">659</a></span><span class="t">        <span class="key">return</span> <span class="nam">calibration_class</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t660" href="#t660">660</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t661" href="#t661">661</a></span><span class="t">    <span class="key">def</span> <span class="nam">run_time_dependent</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span> <span class="op">**</span><span class="nam">kwargs</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t662" href="#t662">662</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t663" href="#t663">663</a></span><span class="t"><span class="str">        Calculate the time dependent sensitivity for all the single goals in the calibration class.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t664" href="#t664">664</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t665" href="#t665">665</a></span><span class="t"><span class="str">        :param CalibrationClass cal_class:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t666" href="#t666">666</a></span><span class="t"><span class="str">            Calibration class with tuner-parameters to calculate sensitivity for.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t667" href="#t667">667</a></span><span class="t"><span class="str">            Can include dummy target date.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t668" href="#t668">668</a></span><span class="t"><span class="str">        :keyword scale:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t669" href="#t669">669</a></span><span class="t"><span class="str">            Default is False. If True the bounds of the tuner-parameters</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t670" href="#t670">670</a></span><span class="t"><span class="str">            will be scaled between 0 and 1.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t671" href="#t671">671</a></span><span class="t"><span class="str">        :keyword bool load_sim_files:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t672" href="#t672">672</a></span><span class="t"><span class="str">            Default False. If True, no new simulations are done and old simulations are loaded.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t673" href="#t673">673</a></span><span class="t"><span class="str">            The simulations and corresponding samples will be loaded from self.savepath_sim like</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t674" href="#t674">674</a></span><span class="t"><span class="str">            they were saved from self.save_files. Currently, the name of the sim folder must be</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t675" href="#t675">675</a></span><span class="t"><span class="str">            "simulations_CAL_CLASS_NAME" and for the samples "samples_CAL_CLASS_NAME".</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t676" href="#t676">676</a></span><span class="t"><span class="str">        :keyword bool save_results:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t677" href="#t677">677</a></span><span class="t"><span class="str">            Default True. If True, all results are saved as a csv in cd.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t678" href="#t678">678</a></span><span class="t"><span class="str">            (samples and analysis variables).</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t679" href="#t679">679</a></span><span class="t"><span class="str">        :keyword int n_steps:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t680" href="#t680">680</a></span><span class="t"><span class="str">            Default is all time steps. If the problem is large, the evaluation of all time steps</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t681" href="#t681">681</a></span><span class="t"><span class="str">            at once can cause a memory error. Then n_steps defines how many time_steps</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t682" href="#t682">682</a></span><span class="t"><span class="str">            are evaluated at once in chunks. This increases the needed time exponentially and</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t683" href="#t683">683</a></span><span class="t"><span class="str">            the simulation files must be saved.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t684" href="#t684">684</a></span><span class="t"><span class="str">        :keyword bool plot_result:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t685" href="#t685">685</a></span><span class="t"><span class="str">            Default True. If True, the results will be plotted.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t686" href="#t686">686</a></span><span class="t"><span class="str">        :return:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t687" href="#t687">687</a></span><span class="t"><span class="str">            Returns a pandas.DataFrame.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t688" href="#t688">688</a></span><span class="t"><span class="str">        :rtype: pandas.DataFrame</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t689" href="#t689">689</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t690" href="#t690">690</a></span><span class="t">        <span class="nam">scale</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'scale'</span><span class="op">,</span> <span class="key">False</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t691" href="#t691">691</a></span><span class="t">        <span class="nam">save_results</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'save_results'</span><span class="op">,</span> <span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t692" href="#t692">692</a></span><span class="t">        <span class="nam">plot_result</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'plot_result'</span><span class="op">,</span> <span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t693" href="#t693">693</a></span><span class="t">        <span class="nam">load_sim_files</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'load_sim_files'</span><span class="op">,</span> <span class="key">False</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t694" href="#t694">694</a></span><span class="t">        <span class="nam">n_steps</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'n_steps'</span><span class="op">,</span> <span class="str">'all'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t695" href="#t695">695</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t696" href="#t696">696</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span><span class="str">"Start time dependent sensitivity analysis."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t697" href="#t697">697</a></span><span class="t">        <span class="key">if</span> <span class="nam">load_sim_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t698" href="#t698">698</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">problem</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">create_problem</span><span class="op">(</span><span class="nam">cal_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">,</span> <span class="nam">scale</span><span class="op">=</span><span class="nam">scale</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t699" href="#t699">699</a></span><span class="t">            <span class="nam">sim_dir</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">savepath_sim</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'simulations_{cal_class.name}'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t700" href="#t700">700</a></span><span class="t">            <span class="nam">samples_path</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">savepath_sim</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'samples_{cal_class.name}.csv'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t701" href="#t701">701</a></span><span class="t">            <span class="nam">samples</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">read_csv</span><span class="op">(</span><span class="nam">samples_path</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t702" href="#t702">702</a></span><span class="t">                                  <span class="nam">header</span><span class="op">=</span><span class="num">0</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t703" href="#t703">703</a></span><span class="t">                                  <span class="nam">index_col</span><span class="op">=</span><span class="num">0</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t704" href="#t704">704</a></span><span class="t">            <span class="nam">samples</span> <span class="op">=</span> <span class="nam">samples</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t705" href="#t705">705</a></span><span class="t">            <span class="nam">result_file_names</span> <span class="op">=</span> <span class="op">[</span><span class="str">f"simulation_{idx}.{self.suffix_files}"</span> <span class="key">for</span> <span class="nam">idx</span> <span class="key">in</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t706" href="#t706">706</a></span><span class="t">                                 <span class="nam">range</span><span class="op">(</span><span class="nam">len</span><span class="op">(</span><span class="nam">samples</span><span class="op">)</span><span class="op">)</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t707" href="#t707">707</a></span><span class="t">            <span class="nam">_filepaths</span> <span class="op">=</span> <span class="op">[</span><span class="nam">sim_dir</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="nam">result_file_name</span><span class="op">)</span> <span class="key">for</span> <span class="nam">result_file_name</span> <span class="key">in</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t708" href="#t708">708</a></span><span class="t">                          <span class="nam">result_file_names</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t709" href="#t709">709</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t710" href="#t710">710</a></span><span class="t">            <span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_load_analyze_tsteps</span><span class="op">(</span><span class="nam">_filepaths</span><span class="op">=</span><span class="nam">_filepaths</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t711" href="#t711">711</a></span><span class="t">                                                                            <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t712" href="#t712">712</a></span><span class="t">                                                                            <span class="nam">n_steps</span><span class="op">=</span><span class="nam">n_steps</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t713" href="#t713">713</a></span><span class="t">                                                                            <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t714" href="#t714">714</a></span><span class="t">            <span class="nam">sen_time_dependent_df</span> <span class="op">=</span> <span class="nam">_restruct_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t715" href="#t715">715</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t716" href="#t716">716</a></span><span class="t">            <span class="nam">results</span><span class="op">,</span> <span class="nam">samples</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">simulate_samples</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t717" href="#t717">717</a></span><span class="t">                <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t718" href="#t718">718</a></span><span class="t">                <span class="nam">scale</span><span class="op">=</span><span class="nam">scale</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t719" href="#t719">719</a></span><span class="t">            <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t720" href="#t720">720</a></span><span class="t">            <span class="key">if</span> <span class="nam">self</span><span class="op">.</span><span class="nam">save_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t721" href="#t721">721</a></span><span class="t">                <span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_load_analyze_tsteps</span><span class="op">(</span><span class="nam">_filepaths</span><span class="op">=</span><span class="nam">results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t722" href="#t722">722</a></span><span class="t">                                                                                <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t723" href="#t723">723</a></span><span class="t">                                                                                <span class="nam">n_steps</span><span class="op">=</span><span class="nam">n_steps</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t724" href="#t724">724</a></span><span class="t">                                                                                <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t725" href="#t725">725</a></span><span class="t">                <span class="nam">sen_time_dependent_df</span> <span class="op">=</span> <span class="nam">_restruct_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_list</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t726" href="#t726">726</a></span><span class="t">                                                                 <span class="nam">time_index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t727" href="#t727">727</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t728" href="#t728">728</a></span><span class="t">                <span class="nam">variables</span> <span class="op">=</span> <span class="nam">results</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">.</span><span class="nam">get_variable_names</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t729" href="#t729">729</a></span><span class="t">                <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">results</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t730" href="#t730">730</a></span><span class="t">                <span class="nam">total_result</span> <span class="op">=</span> <span class="nam">_concat_all_sims</span><span class="op">(</span><span class="nam">results</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t731" href="#t731">731</a></span><span class="t">                <span class="nam">sen_time_dependent_list</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t732" href="#t732">732</a></span><span class="t">                <span class="key">for</span> <span class="nam">time_step</span> <span class="key">in</span> <span class="nam">time_index</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t733" href="#t733">733</a></span><span class="t">                    <span class="nam">result_df_tstep</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_analyze_tstep_df</span><span class="op">(</span><span class="nam">time_step</span><span class="op">=</span><span class="nam">time_step</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t734" href="#t734">734</a></span><span class="t">                                                             <span class="nam">tsteps_sim_results</span><span class="op">=</span><span class="nam">total_result</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t735" href="#t735">735</a></span><span class="t">                                                             <span class="nam">variables</span><span class="op">=</span><span class="nam">variables</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t736" href="#t736">736</a></span><span class="t">                                                             <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t737" href="#t737">737</a></span><span class="t">                                                             <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t738" href="#t738">738</a></span><span class="t">                    <span class="nam">sen_time_dependent_list</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">result_df_tstep</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t739" href="#t739">739</a></span><span class="t">                <span class="nam">sen_time_dependent_df</span> <span class="op">=</span> <span class="nam">_restruct_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_list</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t740" href="#t740">740</a></span><span class="t">                                                                 <span class="nam">time_index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t741" href="#t741">741</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span><span class="str">"Finished time dependent sensitivity analysys."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t742" href="#t742">742</a></span><span class="t">        <span class="key">if</span> <span class="nam">save_results</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t743" href="#t743">743</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">_save</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">,</span> <span class="nam">time_dependent</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t744" href="#t744">744</a></span><span class="t">        <span class="key">if</span> <span class="nam">plot_result</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t745" href="#t745">745</a></span><span class="t">            <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t746" href="#t746">746</a></span><span class="t">                <span class="nam">plot_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t747" href="#t747">747</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t748" href="#t748">748</a></span><span class="t">                <span class="nam">plot_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t749" href="#t749">749</a></span><span class="t">        <span class="key">return</span> <span class="nam">sen_time_dependent_df</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t750" href="#t750">750</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t751" href="#t751">751</a></span><span class="t">    <span class="key">def</span> <span class="nam">_analyze_tstep_df</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">time_step</span><span class="op">,</span> <span class="nam">tsteps_sim_results</span><span class="op">,</span> <span class="nam">variables</span><span class="op">,</span> <span class="nam">samples</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t752" href="#t752">752</a></span><span class="t">        <span class="str">"""Analyze the sensitivity at a single time step."""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t753" href="#t753">753</a></span><span class="t">        <span class="nam">result_dict_tstep</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t754" href="#t754">754</a></span><span class="t">        <span class="key">for</span> <span class="nam">var</span> <span class="key">in</span> <span class="nam">variables</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t755" href="#t755">755</a></span><span class="t">            <span class="nam">result_tstep_var</span> <span class="op">=</span> <span class="nam">tsteps_sim_results</span><span class="op">[</span><span class="nam">var</span><span class="op">]</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">time_step</span><span class="op">]</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t756" href="#t756">756</a></span><span class="t">            <span class="key">if</span> <span class="nam">np</span><span class="op">.</span><span class="nam">all</span><span class="op">(</span><span class="nam">result_tstep_var</span> <span class="op">==</span> <span class="nam">result_tstep_var</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t757" href="#t757">757</a></span><span class="t">                <span class="nam">sen_tstep_var</span> <span class="op">=</span> <span class="key">None</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t758" href="#t758">758</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t759" href="#t759">759</a></span><span class="t">                <span class="nam">sen_tstep_var</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">analysis_function</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t760" href="#t760">760</a></span><span class="t">                    <span class="nam">x</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t761" href="#t761">761</a></span><span class="t">                    <span class="nam">y</span><span class="op">=</span><span class="nam">result_tstep_var</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t762" href="#t762">762</a></span><span class="t">                <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t763" href="#t763">763</a></span><span class="t">            <span class="nam">result_dict_tstep</span><span class="op">[</span><span class="nam">var</span><span class="op">]</span> <span class="op">=</span> <span class="nam">sen_tstep_var</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t764" href="#t764">764</a></span><span class="t">        <span class="nam">result_df_tstep</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_conv_local_results</span><span class="op">(</span><span class="nam">results</span><span class="op">=</span><span class="op">[</span><span class="nam">result_dict_tstep</span><span class="op">]</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t765" href="#t765">765</a></span><span class="t">                                                   <span class="nam">local_classes</span><span class="op">=</span><span class="op">[</span><span class="nam">cal_class</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t766" href="#t766">766</a></span><span class="t">        <span class="key">return</span> <span class="nam">result_df_tstep</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t767" href="#t767">767</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t768" href="#t768">768</a></span><span class="t">    <span class="key">def</span> <span class="nam">_load_tsteps_df</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">tsteps</span><span class="op">,</span> <span class="nam">_filepaths</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t769" href="#t769">769</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t770" href="#t770">770</a></span><span class="t"><span class="str">        Load all simulations and extract and concat the sim results of the time steps in tsteps.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t771" href="#t771">771</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t772" href="#t772">772</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t773" href="#t773">773</a></span><span class="t">            <span class="str">f"Loading time steps from {tsteps[0]} to {tsteps[-1]} of the simulation files."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t774" href="#t774">774</a></span><span class="t">        <span class="nam">tsteps_sim_results</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t775" href="#t775">775</a></span><span class="t">        <span class="key">for</span> <span class="nam">_filepath</span> <span class="key">in</span> <span class="nam">_filepaths</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t776" href="#t776">776</a></span><span class="t">            <span class="nam">sim</span> <span class="op">=</span> <span class="nam">_load_single_file</span><span class="op">(</span><span class="nam">_filepath</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t777" href="#t777">777</a></span><span class="t">            <span class="nam">tsteps_sim_results</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">sim</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">tsteps</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">:</span><span class="nam">tsteps</span><span class="op">[</span><span class="op">-</span><span class="num">1</span><span class="op">]</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t778" href="#t778">778</a></span><span class="t">        <span class="nam">tsteps_sim_results</span> <span class="op">=</span> <span class="nam">_concat_all_sims</span><span class="op">(</span><span class="nam">tsteps_sim_results</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t779" href="#t779">779</a></span><span class="t">        <span class="key">return</span> <span class="nam">tsteps_sim_results</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t780" href="#t780">780</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t781" href="#t781">781</a></span><span class="t">    <span class="key">def</span> <span class="nam">_load_analyze_tsteps</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">_filepaths</span><span class="op">,</span> <span class="nam">samples</span><span class="op">,</span> <span class="nam">n_steps</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t782" href="#t782">782</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t783" href="#t783">783</a></span><span class="t"><span class="str">        Load and analyze all time steps in chunks with n_steps time steps.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t784" href="#t784">784</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t785" href="#t785">785</a></span><span class="t">        <span class="nam">sim1</span> <span class="op">=</span> <span class="nam">_load_single_file</span><span class="op">(</span><span class="nam">_filepaths</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t786" href="#t786">786</a></span><span class="t">        <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">sim1</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t787" href="#t787">787</a></span><span class="t">        <span class="nam">variables</span> <span class="op">=</span> <span class="nam">sim1</span><span class="op">.</span><span class="nam">get_variable_names</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t788" href="#t788">788</a></span><span class="t">        <span class="nam">sen_time_dependent_list</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t789" href="#t789">789</a></span><span class="t">        <span class="key">if</span> <span class="nam">n_steps</span> <span class="op">==</span> <span class="str">'all'</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t790" href="#t790">790</a></span><span class="t">            <span class="nam">list_tsteps</span> <span class="op">=</span> <span class="op">[</span><span class="nam">time_index</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t791" href="#t791">791</a></span><span class="t">        <span class="key">elif</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">n_steps</span><span class="op">,</span> <span class="nam">int</span><span class="op">)</span> <span class="key">and</span> <span class="key">not</span> <span class="op">(</span><span class="nam">n_steps</span> <span class="op">&lt;=</span> <span class="num">0</span> <span class="key">or</span> <span class="nam">n_steps</span> <span class="op">></span> <span class="nam">len</span><span class="op">(</span><span class="nam">time_index</span><span class="op">)</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t792" href="#t792">792</a></span><span class="t">            <span class="nam">list_tsteps</span> <span class="op">=</span> <span class="nam">_divide_chunks</span><span class="op">(</span><span class="nam">time_index</span><span class="op">,</span> <span class="nam">n_steps</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t793" href="#t793">793</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t794" href="#t794">794</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t795" href="#t795">795</a></span><span class="t">                <span class="str">f"n_steps can only be between 1 and {len(time_index)} or the string all."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t796" href="#t796">796</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t797" href="#t797">797</a></span><span class="t">        <span class="key">for</span> <span class="nam">tsteps</span> <span class="key">in</span> <span class="nam">list_tsteps</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t798" href="#t798">798</a></span><span class="t">            <span class="nam">tsteps_sim_results</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_load_tsteps_df</span><span class="op">(</span><span class="nam">tsteps</span><span class="op">=</span><span class="nam">tsteps</span><span class="op">,</span> <span class="nam">_filepaths</span><span class="op">=</span><span class="nam">_filepaths</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t799" href="#t799">799</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span><span class="str">"Analyzing these time steps."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t800" href="#t800">800</a></span><span class="t">            <span class="key">for</span> <span class="nam">tstep</span> <span class="key">in</span> <span class="nam">tsteps</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t801" href="#t801">801</a></span><span class="t">                <span class="nam">result_df_tstep</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_analyze_tstep_df</span><span class="op">(</span><span class="nam">time_step</span><span class="op">=</span><span class="nam">tstep</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t802" href="#t802">802</a></span><span class="t">                                                         <span class="nam">tsteps_sim_results</span><span class="op">=</span><span class="nam">tsteps_sim_results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t803" href="#t803">803</a></span><span class="t">                                                         <span class="nam">variables</span><span class="op">=</span><span class="nam">variables</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t804" href="#t804">804</a></span><span class="t">                                                         <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t805" href="#t805">805</a></span><span class="t">                                                         <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t806" href="#t806">806</a></span><span class="t">                <span class="nam">sen_time_dependent_list</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">result_df_tstep</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t807" href="#t807">807</a></span><span class="t">        <span class="key">return</span> <span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t808" href="#t808">808</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t809" href="#t809">809</a></span><span class="t">    <span class="key">def</span> <span class="nam">_conv_global_result</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">:</span> <span class="nam">dict</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t810" href="#t810">810</a></span><span class="t">                            <span class="nam">analysis_variable</span><span class="op">:</span> <span class="nam">str</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="mis show_mis"><span class="n"><a id="t811" href="#t811">811</a></span><span class="t">        <span class="nam">glo_res_dict</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_get_res_dict</span><span class="op">(</span><span class="nam">result</span><span class="op">=</span><span class="nam">result</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t812" href="#t812">812</a></span><span class="t">                                          <span class="nam">analysis_variable</span><span class="op">=</span><span class="nam">analysis_variable</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="mis show_mis"><span class="n"><a id="t813" href="#t813">813</a></span><span class="t">        <span class="key">return</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="nam">glo_res_dict</span><span class="op">,</span> <span class="nam">index</span><span class="op">=</span><span class="op">[</span><span class="str">'global'</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t814" href="#t814">814</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t815" href="#t815">815</a></span><span class="t">    <span class="key">def</span> <span class="nam">_conv_local_results</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">results</span><span class="op">:</span> <span class="nam">list</span><span class="op">,</span> <span class="nam">local_classes</span><span class="op">:</span> <span class="nam">list</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t816" href="#t816">816</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t817" href="#t817">817</a></span><span class="t"><span class="str">        Convert the result dictionaries form SALib of each class and goal into one DataFrame.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t818" href="#t818">818</a></span><span class="t"><span class="str">        Overwritten for Sobol.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t819" href="#t819">819</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t820" href="#t820">820</a></span><span class="t">        <span class="nam">_conv_results</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t821" href="#t821">821</a></span><span class="t">        <span class="nam">tuples</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t822" href="#t822">822</a></span><span class="t">        <span class="key">for</span> <span class="nam">class_results</span><span class="op">,</span> <span class="nam">local_class</span> <span class="key">in</span> <span class="nam">zip</span><span class="op">(</span><span class="nam">results</span><span class="op">,</span> <span class="nam">local_classes</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t823" href="#t823">823</a></span><span class="t">            <span class="key">for</span> <span class="nam">goal</span><span class="op">,</span> <span class="nam">goal_results</span> <span class="key">in</span> <span class="nam">class_results</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t824" href="#t824">824</a></span><span class="t">                <span class="key">for</span> <span class="nam">analysis_var</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">analysis_variables</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t825" href="#t825">825</a></span><span class="t">                    <span class="nam">_conv_results</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">_get_res_dict</span><span class="op">(</span><span class="nam">result</span><span class="op">=</span><span class="nam">goal_results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t826" href="#t826">826</a></span><span class="t">                                                            <span class="nam">cal_class</span><span class="op">=</span><span class="nam">local_class</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t827" href="#t827">827</a></span><span class="t">                                                            <span class="nam">analysis_variable</span><span class="op">=</span><span class="nam">analysis_var</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t828" href="#t828">828</a></span><span class="t">                    <span class="nam">tuples</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="op">(</span><span class="nam">local_class</span><span class="op">.</span><span class="nam">name</span><span class="op">,</span> <span class="nam">goal</span><span class="op">,</span> <span class="nam">analysis_var</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t829" href="#t829">829</a></span><span class="t">        <span class="nam">index</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">MultiIndex</span><span class="op">.</span><span class="nam">from_tuples</span><span class="op">(</span><span class="nam">tuples</span><span class="op">=</span><span class="nam">tuples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t830" href="#t830">830</a></span><span class="t">                                          <span class="nam">names</span><span class="op">=</span><span class="op">[</span><span class="str">'Class'</span><span class="op">,</span> <span class="str">'Goal'</span><span class="op">,</span> <span class="str">'Analysis variable'</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t831" href="#t831">831</a></span><span class="t">        <span class="nam">df</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="nam">_conv_results</span><span class="op">,</span> <span class="nam">index</span><span class="op">=</span><span class="nam">index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t832" href="#t832">832</a></span><span class="t">        <span class="key">return</span> <span class="nam">df</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t833" href="#t833">833</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t834" href="#t834">834</a></span><span class="t">    <span class="op">@</span><span class="nam">abc</span><span class="op">.</span><span class="nam">abstractmethod</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t835" href="#t835">835</a></span><span class="t">    <span class="key">def</span> <span class="nam">_get_res_dict</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">:</span> <span class="nam">dict</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">:</span> <span class="nam">str</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t836" href="#t836">836</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t837" href="#t837">837</a></span><span class="t"><span class="str">        Convert the result object to a dict with the key</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t838" href="#t838">838</a></span><span class="t"><span class="str">        being the variable name and the value being the result</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t839" href="#t839">839</a></span><span class="t"><span class="str">        associated to analysis_variable.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t840" href="#t840">840</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="exc show_exc"><span class="n"><a id="t841" href="#t841">841</a></span><span class="t">        <span class="key">raise</span> <span class="nam">NotImplementedError</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t842" href="#t842">842</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t843" href="#t843">843</a></span><span class="t">    <span class="key">def</span> <span class="nam">plot</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t844" href="#t844">844</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t845" href="#t845">845</a></span><span class="t"><span class="str">        Plot the results of the sensitivity analysis method from run().</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t846" href="#t846">846</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t847" href="#t847">847</a></span><span class="t"><span class="str">        :param pd.DataFrame result:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t848" href="#t848">848</a></span><span class="t"><span class="str">            Dataframe of the results like from the run() function.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t849" href="#t849">849</a></span><span class="t"><span class="str">        :return tuple of matplotlib objects (fig, ax):</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t850" href="#t850">850</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="mis show_mis"><span class="n"><a id="t851" href="#t851">851</a></span><span class="t">        <span class="nam">plot_single</span><span class="op">(</span><span class="nam">result</span><span class="op">=</span><span class="nam">result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t852" href="#t852">852</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t853" href="#t853">853</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t854" href="#t854">854</a></span><span class="t">    <span class="key">def</span> <span class="nam">load_from_csv</span><span class="op">(</span><span class="nam">path</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t855" href="#t855">855</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t856" href="#t856">856</a></span><span class="t"><span class="str">        Load sensitivity results which were saved with the run() or run_time_dependent() function.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t857" href="#t857">857</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t858" href="#t858">858</a></span><span class="t"><span class="str">        For second order results use the load_second_order_from_csv() function of the SobolAnalyzer.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t859" href="#t859">859</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t860" href="#t860">860</a></span><span class="t">        <span class="nam">result</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">read_csv</span><span class="op">(</span><span class="nam">path</span><span class="op">,</span> <span class="nam">index_col</span><span class="op">=</span><span class="op">[</span><span class="num">0</span><span class="op">,</span> <span class="num">1</span><span class="op">,</span> <span class="num">2</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t861" href="#t861">861</a></span><span class="t">        <span class="key">return</span> <span class="nam">result</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t862" href="#t862">862</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t863" href="#t863">863</a></span><span class="t">    <span class="key">def</span> <span class="nam">save_for_reproduction</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t864" href="#t864">864</a></span><span class="t">                              <span class="nam">title</span><span class="op">:</span> <span class="nam">str</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t865" href="#t865">865</a></span><span class="t">                              <span class="nam">path</span><span class="op">:</span> <span class="nam">pathlib</span><span class="op">.</span><span class="nam">Path</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t866" href="#t866">866</a></span><span class="t">                              <span class="nam">files</span><span class="op">:</span> <span class="nam">list</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t867" href="#t867">867</a></span><span class="t">                              <span class="nam">exclude_sim_files</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t868" href="#t868">868</a></span><span class="t">                              <span class="nam">remove_saved_files</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t869" href="#t869">869</a></span><span class="t">                              <span class="op">**</span><span class="nam">kwargs</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t870" href="#t870">870</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t871" href="#t871">871</a></span><span class="t"><span class="str">        Save the settings of the SenAnalyzer and SimApi in order to</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t872" href="#t872">872</a></span><span class="t"><span class="str">        reproduce the simulations and sensitivity analysis method.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t873" href="#t873">873</a></span><span class="t"><span class="str">        All saved results will be also saved in the reproduction</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t874" href="#t874">874</a></span><span class="t"><span class="str">        archive. The simulations can be excluded from saving.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t875" href="#t875">875</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t876" href="#t876">876</a></span><span class="t"><span class="str">        :param str title:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t877" href="#t877">877</a></span><span class="t"><span class="str">            Title of the study</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t878" href="#t878">878</a></span><span class="t"><span class="str">        :param pathlib.Path path:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t879" href="#t879">879</a></span><span class="t"><span class="str">            Where to store the .zip file. If not given, self.cd is used.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t880" href="#t880">880</a></span><span class="t"><span class="str">        :param list files:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t881" href="#t881">881</a></span><span class="t"><span class="str">            List of files to save along the standard ones.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t882" href="#t882">882</a></span><span class="t"><span class="str">            Examples would be plots, tables etc.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t883" href="#t883">883</a></span><span class="t"><span class="str">        :param bool exclude_sim_files:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t884" href="#t884">884</a></span><span class="t"><span class="str">            Default False. If True, the simulation files will not be saved in</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t885" href="#t885">885</a></span><span class="t"><span class="str">            the reproduction archive.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t886" href="#t886">886</a></span><span class="t"><span class="str">        :param bool remove_saved_files:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t887" href="#t887">887</a></span><span class="t"><span class="str">            Default False. If True, the result and simulation files will be moved</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t888" href="#t888">888</a></span><span class="t"><span class="str">            instead of just copied.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t889" href="#t889">889</a></span><span class="t"><span class="str">        :param dict kwargs:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t890" href="#t890">890</a></span><span class="t"><span class="str">            All keyword arguments except title, files, and path of the function</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t891" href="#t891">891</a></span><span class="t"><span class="str">            `save_reproduction_archive`. Most importantly, `log_message` may be</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t892" href="#t892">892</a></span><span class="t"><span class="str">            specified to avoid input during execution.</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t893" href="#t893">893</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t894" href="#t894">894</a></span><span class="t">        <span class="key">if</span> <span class="nam">files</span> <span class="key">is</span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t895" href="#t895">895</a></span><span class="t">            <span class="nam">files</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t896" href="#t896">896</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t897" href="#t897">897</a></span><span class="t">        <span class="key">for</span> <span class="nam">file_path</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">reproduction_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t898" href="#t898">898</a></span><span class="t">            <span class="key">if</span> <span class="nam">exclude_sim_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t899" href="#t899">899</a></span><span class="t">                <span class="key">if</span> <span class="str">'simulation'</span> <span class="key">in</span> <span class="nam">str</span><span class="op">(</span><span class="nam">file_path</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t900" href="#t900">900</a></span><span class="t">                    <span class="key">continue</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t901" href="#t901">901</a></span><span class="t">            <span class="nam">filename</span> <span class="op">=</span> <span class="str">"SenAnalyzer"</span> <span class="op">+</span> <span class="nam">str</span><span class="op">(</span><span class="nam">file_path</span><span class="op">)</span><span class="op">.</span><span class="nam">rsplit</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">cd</span><span class="op">.</span><span class="nam">name</span><span class="op">,</span> <span class="nam">maxsplit</span><span class="op">=</span><span class="num">1</span><span class="op">)</span><span class="op">[</span><span class="op">-</span><span class="num">1</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t902" href="#t902">902</a></span><span class="t">            <span class="nam">files</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">CopyFile</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t903" href="#t903">903</a></span><span class="t">                <span class="nam">sourcepath</span><span class="op">=</span><span class="nam">file_path</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t904" href="#t904">904</a></span><span class="t">                <span class="nam">filename</span><span class="op">=</span><span class="nam">filename</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t905" href="#t905">905</a></span><span class="t">                <span class="nam">remove</span><span class="op">=</span><span class="nam">remove_saved_files</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t906" href="#t906">906</a></span><span class="t">            <span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t907" href="#t907">907</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
-    <p class="run"><span class="n"><a id="t908" href="#t908">908</a></span><span class="t">        <span class="key">return</span> <span class="nam">self</span><span class="op">.</span><span class="nam">sim_api</span><span class="op">.</span><span class="nam">save_for_reproduction</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t909" href="#t909">909</a></span><span class="t">            <span class="nam">title</span><span class="op">=</span><span class="nam">title</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t910" href="#t910">910</a></span><span class="t">            <span class="nam">path</span><span class="op">=</span><span class="nam">path</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t911" href="#t911">911</a></span><span class="t">            <span class="nam">files</span><span class="op">=</span><span class="nam">files</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t912" href="#t912">912</a></span><span class="t">            <span class="op">**</span><span class="nam">kwargs</span>&nbsp;</span><span class="r"></span></p>
-    <p class="pln"><span class="n"><a id="t913" href="#t913">913</a></span><span class="t">        <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t538" href="#t538">538</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span><span class="str">'Finished sensitivity analysis of class: %s, '</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t539" href="#t539">539</a></span><span class="t">                             <span class="str">'Time-Interval: %s-%s s'</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">.</span><span class="nam">name</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t540" href="#t540">540</a></span><span class="t">                             <span class="nam">cal_class</span><span class="op">.</span><span class="nam">start_time</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">.</span><span class="nam">stop_time</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t541" href="#t541">541</a></span><span class="t">        <span class="nam">result</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_conv_local_results</span><span class="op">(</span><span class="nam">results</span><span class="op">=</span><span class="nam">all_results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t542" href="#t542">542</a></span><span class="t">                                          <span class="nam">local_classes</span><span class="op">=</span><span class="nam">calibration_classes</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t543" href="#t543">543</a></span><span class="t">        <span class="key">if</span> <span class="nam">save_results</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t544" href="#t544">544</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">_save</span><span class="op">(</span><span class="nam">result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t545" href="#t545">545</a></span><span class="t">        <span class="key">if</span> <span class="nam">plot_result</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t546" href="#t546">546</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">plot</span><span class="op">(</span><span class="nam">result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t547" href="#t547">547</a></span><span class="t">        <span class="key">return</span> <span class="nam">result</span><span class="op">,</span> <span class="nam">calibration_classes</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t548" href="#t548">548</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t549" href="#t549">549</a></span><span class="t">    <span class="key">def</span> <span class="nam">_save</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">:</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span> <span class="nam">time_dependent</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t550" href="#t550">550</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t551" href="#t551">551</a></span><span class="t"><span class="str">        Saves the result DataFrame of run and run_time_dependent.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t552" href="#t552">552</a></span><span class="t"><span class="str">        Needs to be overwritten for Sobol results.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t553" href="#t553">553</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t554" href="#t554">554</a></span><span class="t">        <span class="key">if</span> <span class="nam">time_dependent</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t555" href="#t555">555</a></span><span class="t">            <span class="nam">savepath_result</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">cd</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'{self.__class__.__name__}_results_time.csv'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t556" href="#t556">556</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t557" href="#t557">557</a></span><span class="t">            <span class="nam">savepath_result</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">cd</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'{self.__class__.__name__}_results.csv'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t558" href="#t558">558</a></span><span class="t">        <span class="nam">result</span><span class="op">.</span><span class="nam">to_csv</span><span class="op">(</span><span class="nam">savepath_result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t559" href="#t559">559</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">reproduction_files</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">savepath_result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t560" href="#t560">560</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t561" href="#t561">561</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t562" href="#t562">562</a></span><span class="t">    <span class="key">def</span> <span class="nam">create_problem</span><span class="op">(</span><span class="nam">tuner_paras</span><span class="op">,</span> <span class="nam">scale</span><span class="op">=</span><span class="key">False</span><span class="op">)</span> <span class="op">-></span> <span class="nam">dict</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t563" href="#t563">563</a></span><span class="t">        <span class="str">"""Create function for later access if multiple calibration-classes are used."""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t564" href="#t564">564</a></span><span class="t">        <span class="nam">num_vars</span> <span class="op">=</span> <span class="nam">len</span><span class="op">(</span><span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t565" href="#t565">565</a></span><span class="t">        <span class="nam">bounds</span> <span class="op">=</span> <span class="nam">np</span><span class="op">.</span><span class="nam">array</span><span class="op">(</span><span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_bounds</span><span class="op">(</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t566" href="#t566">566</a></span><span class="t">        <span class="key">if</span> <span class="nam">scale</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t567" href="#t567">567</a></span><span class="t">            <span class="nam">bounds</span> <span class="op">=</span> <span class="op">[</span><span class="nam">np</span><span class="op">.</span><span class="nam">zeros_like</span><span class="op">(</span><span class="nam">bounds</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">,</span> <span class="nam">np</span><span class="op">.</span><span class="nam">ones_like</span><span class="op">(</span><span class="nam">bounds</span><span class="op">[</span><span class="num">1</span><span class="op">]</span><span class="op">)</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t568" href="#t568">568</a></span><span class="t">        <span class="nam">problem</span> <span class="op">=</span> <span class="op">{</span><span class="str">'num_vars'</span><span class="op">:</span> <span class="nam">num_vars</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t569" href="#t569">569</a></span><span class="t">                   <span class="str">'names'</span><span class="op">:</span> <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t570" href="#t570">570</a></span><span class="t">                   <span class="str">'bounds'</span><span class="op">:</span> <span class="nam">np</span><span class="op">.</span><span class="nam">transpose</span><span class="op">(</span><span class="nam">bounds</span><span class="op">)</span><span class="op">}</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t571" href="#t571">571</a></span><span class="t">        <span class="key">return</span> <span class="nam">problem</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t572" href="#t572">572</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t573" href="#t573">573</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t574" href="#t574">574</a></span><span class="t">    <span class="key">def</span> <span class="nam">select_by_threshold</span><span class="op">(</span><span class="nam">calibration_classes</span><span class="op">,</span> <span class="nam">result</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">,</span> <span class="nam">threshold</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t575" href="#t575">575</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t576" href="#t576">576</a></span><span class="t"><span class="str">        Automatically select sensitive tuner parameters based on a given threshold</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t577" href="#t577">577</a></span><span class="t"><span class="str">        of a given analysis variable from a sensitivity result.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t578" href="#t578">578</a></span><span class="t"><span class="str">        Uses only the combined goals.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t579" href="#t579">579</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t580" href="#t580">580</a></span><span class="t"><span class="str">        :param list calibration_classes:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t581" href="#t581">581</a></span><span class="t"><span class="str">            List of aixcalibuha.data_types.CalibrationClass objects that you want to</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t582" href="#t582">582</a></span><span class="t"><span class="str">            automatically select sensitive tuner-parameters.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t583" href="#t583">583</a></span><span class="t"><span class="str">        :param pd.DataFrame result:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t584" href="#t584">584</a></span><span class="t"><span class="str">            Result object of sensitivity analysis run</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t585" href="#t585">585</a></span><span class="t"><span class="str">        :param str analysis_variable:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t586" href="#t586">586</a></span><span class="t"><span class="str">            Analysis variable to use for the selection</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t587" href="#t587">587</a></span><span class="t"><span class="str">        :param float threshold:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t588" href="#t588">588</a></span><span class="t"><span class="str">            Minimal required value of given key</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t589" href="#t589">589</a></span><span class="t"><span class="str">        :return: list calibration_classes</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t590" href="#t590">590</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t591" href="#t591">591</a></span><span class="t">        <span class="key">for</span> <span class="nam">cal_class</span> <span class="key">in</span> <span class="nam">calibration_classes</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t592" href="#t592">592</a></span><span class="t">            <span class="nam">first_goal</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_level_values</span><span class="op">(</span><span class="num">1</span><span class="op">)</span><span class="op">[</span><span class="num">0</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t593" href="#t593">593</a></span><span class="t">            <span class="nam">class_result</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">cal_class</span><span class="op">.</span><span class="nam">name</span><span class="op">,</span> <span class="nam">first_goal</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t594" href="#t594">594</a></span><span class="t">            <span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">copy</span><span class="op">.</span><span class="nam">deepcopy</span><span class="op">(</span><span class="nam">cal_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t595" href="#t595">595</a></span><span class="t">            <span class="nam">select_names</span> <span class="op">=</span> <span class="nam">class_result</span><span class="op">[</span><span class="nam">class_result</span> <span class="op">&lt;</span> <span class="nam">threshold</span><span class="op">]</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">values</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t596" href="#t596">596</a></span><span class="t">            <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">remove_names</span><span class="op">(</span><span class="nam">select_names</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t597" href="#t597">597</a></span><span class="t">            <span class="key">if</span> <span class="key">not</span> <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t598" href="#t598">598</a></span><span class="t">                <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t599" href="#t599">599</a></span><span class="t">                    <span class="str">'Automatic selection removed all tuner parameter '</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t600" href="#t600">600</a></span><span class="t">                    <span class="str">f'from class {cal_class.name} after '</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t601" href="#t601">601</a></span><span class="t">                    <span class="str">'SensitivityAnalysis was done. Please adjust the '</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t602" href="#t602">602</a></span><span class="t">                    <span class="str">'threshold in json or manually chose tuner '</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t603" href="#t603">603</a></span><span class="t">                    <span class="str">'parameters for the calibration.'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t604" href="#t604">604</a></span><span class="t">            <span class="com"># cal_class.set_tuner_paras(tuner_paras)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t605" href="#t605">605</a></span><span class="t">            <span class="nam">cal_class</span><span class="op">.</span><span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">tuner_paras</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t606" href="#t606">606</a></span><span class="t">        <span class="key">return</span> <span class="nam">calibration_classes</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t607" href="#t607">607</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t608" href="#t608">608</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t609" href="#t609">609</a></span><span class="t">    <span class="key">def</span> <span class="nam">select_by_threshold_verbose</span><span class="op">(</span><span class="nam">calibration_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t610" href="#t610">610</a></span><span class="t">                                    <span class="nam">result</span><span class="op">:</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t611" href="#t611">611</a></span><span class="t">                                    <span class="nam">analysis_variable</span><span class="op">:</span> <span class="nam">str</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t612" href="#t612">612</a></span><span class="t">                                    <span class="nam">threshold</span><span class="op">:</span> <span class="nam">float</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t613" href="#t613">613</a></span><span class="t">                                    <span class="nam">calc_names_for_selection</span><span class="op">:</span> <span class="nam">List</span><span class="op">[</span><span class="nam">str</span><span class="op">]</span> <span class="op">=</span> <span class="key">None</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t614" href="#t614">614</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t615" href="#t615">615</a></span><span class="t"><span class="str">        Select tuner-parameters of single calibration class with verbose sensitivity results.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t616" href="#t616">616</a></span><span class="t"><span class="str">        This function selects tuner-parameters if their sensitivity is equal or greater</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t617" href="#t617">617</a></span><span class="t"><span class="str">        than the threshold in just one target value of one calibration class in the</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t618" href="#t618">618</a></span><span class="t"><span class="str">        sensitivity result. This can be more robust because a small sensitivity in one target</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t619" href="#t619">619</a></span><span class="t"><span class="str">        value and state of the system can mean that the parameter can also be calibrated in</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t620" href="#t620">620</a></span><span class="t"><span class="str">        a global calibration class which calibrates multiple states and target values at</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t621" href="#t621">621</a></span><span class="t"><span class="str">        the same time and has there not directly the same sensitivity as in the isolated</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t622" href="#t622">622</a></span><span class="t"><span class="str">        view of a calibration class for only one state.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t623" href="#t623">623</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t624" href="#t624">624</a></span><span class="t"><span class="str">        :param CalibrationClass calibration_class:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t625" href="#t625">625</a></span><span class="t"><span class="str">            The calibration class from which the tuner parameters will be selected.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t626" href="#t626">626</a></span><span class="t"><span class="str">        :param pd.DataFrame result:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t627" href="#t627">627</a></span><span class="t"><span class="str">            Sensitivity results to use for the selection. Can include multiple classes.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t628" href="#t628">628</a></span><span class="t"><span class="str">        :param str analysis_variable:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t629" href="#t629">629</a></span><span class="t"><span class="str">            The analysis variable to use for the selection.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t630" href="#t630">630</a></span><span class="t"><span class="str">        :param float threshold:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t631" href="#t631">631</a></span><span class="t"><span class="str">            Minimal required value of given analysis variable.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t632" href="#t632">632</a></span><span class="t"><span class="str">        :param List[str] calc_names_for_selection:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t633" href="#t633">633</a></span><span class="t"><span class="str">            Specifies which calibration classes in the sensitivity results will be used for</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t634" href="#t634">634</a></span><span class="t"><span class="str">            the selection. Default are all classes.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t635" href="#t635">635</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t636" href="#t636">636</a></span><span class="t">        <span class="key">if</span> <span class="nam">Counter</span><span class="op">(</span><span class="nam">calibration_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">!=</span> <span class="nam">Counter</span><span class="op">(</span><span class="nam">list</span><span class="op">(</span><span class="nam">result</span><span class="op">.</span><span class="nam">columns</span><span class="op">)</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t637" href="#t637">637</a></span><span class="t">            <span class="key">raise</span> <span class="nam">NameError</span><span class="op">(</span><span class="str">"The tuner-parameter of the calibration class do not "</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t638" href="#t638">638</a></span><span class="t">                            <span class="str">"match the tuner-parameters in the sensitivity result."</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t639" href="#t639">639</a></span><span class="t">                            <span class="str">"They have to match."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t640" href="#t640">640</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t641" href="#t641">641</a></span><span class="t">        <span class="nam">result</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="op">:</span><span class="op">,</span> <span class="op">:</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t642" href="#t642">642</a></span><span class="t">        <span class="nam">calc_names_results</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">get_level_values</span><span class="op">(</span><span class="str">"Class"</span><span class="op">)</span><span class="op">.</span><span class="nam">unique</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t643" href="#t643">643</a></span><span class="t">        <span class="key">if</span> <span class="nam">calc_names_for_selection</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t644" href="#t644">644</a></span><span class="t">            <span class="key">for</span> <span class="nam">cal_class</span> <span class="key">in</span> <span class="nam">calc_names_for_selection</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t645" href="#t645">645</a></span><span class="t">                <span class="key">if</span> <span class="nam">cal_class</span> <span class="key">not</span> <span class="key">in</span> <span class="nam">calc_names_results</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t646" href="#t646">646</a></span><span class="t">                    <span class="key">raise</span> <span class="nam">NameError</span><span class="op">(</span><span class="str">f"The calibration class name {cal_class} "</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t647" href="#t647">647</a></span><span class="t">                                    <span class="str">f"does not match any class name "</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t648" href="#t648">648</a></span><span class="t">                                    <span class="str">f"in the given sensitivity result."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t649" href="#t649">649</a></span><span class="t">            <span class="nam">result</span> <span class="op">=</span> <span class="nam">result</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">calc_names_for_selection</span><span class="op">,</span> <span class="op">:</span><span class="op">,</span> <span class="op">:</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t650" href="#t650">650</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t651" href="#t651">651</a></span><span class="t">        <span class="nam">selected_tuners</span> <span class="op">=</span> <span class="op">(</span><span class="nam">result</span> <span class="op">>=</span> <span class="nam">threshold</span><span class="op">)</span><span class="op">.</span><span class="nam">any</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t652" href="#t652">652</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t653" href="#t653">653</a></span><span class="t">        <span class="nam">remove_tuners</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t654" href="#t654">654</a></span><span class="t">        <span class="key">for</span> <span class="nam">tuner</span><span class="op">,</span> <span class="nam">selected</span> <span class="key">in</span> <span class="nam">selected_tuners</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t655" href="#t655">655</a></span><span class="t">            <span class="key">if</span> <span class="key">not</span> <span class="nam">selected</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t656" href="#t656">656</a></span><span class="t">                <span class="nam">remove_tuners</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">tuner</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t657" href="#t657">657</a></span><span class="t">        <span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">copy</span><span class="op">.</span><span class="nam">deepcopy</span><span class="op">(</span><span class="nam">calibration_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t658" href="#t658">658</a></span><span class="t">        <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">remove_names</span><span class="op">(</span><span class="nam">remove_tuners</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t659" href="#t659">659</a></span><span class="t">        <span class="key">if</span> <span class="key">not</span> <span class="nam">tuner_paras</span><span class="op">.</span><span class="nam">get_names</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t660" href="#t660">660</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span><span class="str">"Threshold to small. All tuner-parameters would be removed."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t661" href="#t661">661</a></span><span class="t">        <span class="nam">calibration_class</span><span class="op">.</span><span class="nam">tuner_paras</span> <span class="op">=</span> <span class="nam">tuner_paras</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t662" href="#t662">662</a></span><span class="t">        <span class="key">return</span> <span class="nam">calibration_class</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t663" href="#t663">663</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t664" href="#t664">664</a></span><span class="t">    <span class="key">def</span> <span class="nam">run_time_dependent</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span> <span class="op">**</span><span class="nam">kwargs</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t665" href="#t665">665</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t666" href="#t666">666</a></span><span class="t"><span class="str">        Calculate the time dependent sensitivity for all the single goals in the calibration class.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t667" href="#t667">667</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t668" href="#t668">668</a></span><span class="t"><span class="str">        :param CalibrationClass cal_class:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t669" href="#t669">669</a></span><span class="t"><span class="str">            Calibration class with tuner-parameters to calculate sensitivity for.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t670" href="#t670">670</a></span><span class="t"><span class="str">            Can include dummy target date.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t671" href="#t671">671</a></span><span class="t"><span class="str">        :keyword scale:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t672" href="#t672">672</a></span><span class="t"><span class="str">            Default is False. If True the bounds of the tuner-parameters</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t673" href="#t673">673</a></span><span class="t"><span class="str">            will be scaled between 0 and 1.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t674" href="#t674">674</a></span><span class="t"><span class="str">        :keyword bool load_sim_files:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t675" href="#t675">675</a></span><span class="t"><span class="str">            Default False. If True, no new simulations are done and old simulations are loaded.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t676" href="#t676">676</a></span><span class="t"><span class="str">            The simulations and corresponding samples will be loaded from self.savepath_sim like</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t677" href="#t677">677</a></span><span class="t"><span class="str">            they were saved from self.save_files. Currently, the name of the sim folder must be</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t678" href="#t678">678</a></span><span class="t"><span class="str">            "simulations_CAL_CLASS_NAME" and for the samples "samples_CAL_CLASS_NAME".</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t679" href="#t679">679</a></span><span class="t"><span class="str">        :keyword bool save_results:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t680" href="#t680">680</a></span><span class="t"><span class="str">            Default True. If True, all results are saved as a csv in cd.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t681" href="#t681">681</a></span><span class="t"><span class="str">            (samples and analysis variables).</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t682" href="#t682">682</a></span><span class="t"><span class="str">        :keyword int n_steps:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t683" href="#t683">683</a></span><span class="t"><span class="str">            Default is all time steps. If the problem is large, the evaluation of all time steps</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t684" href="#t684">684</a></span><span class="t"><span class="str">            at once can cause a memory error. Then n_steps defines how many time_steps</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t685" href="#t685">685</a></span><span class="t"><span class="str">            are evaluated at once in chunks. This increases the needed time exponentially and</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t686" href="#t686">686</a></span><span class="t"><span class="str">            the simulation files must be saved.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t687" href="#t687">687</a></span><span class="t"><span class="str">        :keyword bool plot_result:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t688" href="#t688">688</a></span><span class="t"><span class="str">            Default True. If True, the results will be plotted.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t689" href="#t689">689</a></span><span class="t"><span class="str">        :return:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t690" href="#t690">690</a></span><span class="t"><span class="str">            Returns a pandas.DataFrame.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t691" href="#t691">691</a></span><span class="t"><span class="str">        :rtype: pandas.DataFrame</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t692" href="#t692">692</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t693" href="#t693">693</a></span><span class="t">        <span class="nam">scale</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'scale'</span><span class="op">,</span> <span class="key">False</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t694" href="#t694">694</a></span><span class="t">        <span class="nam">save_results</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'save_results'</span><span class="op">,</span> <span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t695" href="#t695">695</a></span><span class="t">        <span class="nam">plot_result</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'plot_result'</span><span class="op">,</span> <span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t696" href="#t696">696</a></span><span class="t">        <span class="nam">load_sim_files</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'load_sim_files'</span><span class="op">,</span> <span class="key">False</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t697" href="#t697">697</a></span><span class="t">        <span class="nam">n_steps</span> <span class="op">=</span> <span class="nam">kwargs</span><span class="op">.</span><span class="nam">pop</span><span class="op">(</span><span class="str">'n_steps'</span><span class="op">,</span> <span class="str">'all'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t698" href="#t698">698</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t699" href="#t699">699</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span><span class="str">"Start time dependent sensitivity analysis."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t700" href="#t700">700</a></span><span class="t">        <span class="key">if</span> <span class="nam">load_sim_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t701" href="#t701">701</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">problem</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">create_problem</span><span class="op">(</span><span class="nam">cal_class</span><span class="op">.</span><span class="nam">tuner_paras</span><span class="op">,</span> <span class="nam">scale</span><span class="op">=</span><span class="nam">scale</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t702" href="#t702">702</a></span><span class="t">            <span class="nam">sim_dir</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">savepath_sim</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'simulations_{cal_class.name}'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t703" href="#t703">703</a></span><span class="t">            <span class="nam">samples_path</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">savepath_sim</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="str">f'samples_{cal_class.name}.csv'</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t704" href="#t704">704</a></span><span class="t">            <span class="nam">samples</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">read_csv</span><span class="op">(</span><span class="nam">samples_path</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t705" href="#t705">705</a></span><span class="t">                                  <span class="nam">header</span><span class="op">=</span><span class="num">0</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t706" href="#t706">706</a></span><span class="t">                                  <span class="nam">index_col</span><span class="op">=</span><span class="num">0</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t707" href="#t707">707</a></span><span class="t">            <span class="nam">samples</span> <span class="op">=</span> <span class="nam">samples</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t708" href="#t708">708</a></span><span class="t">            <span class="nam">result_file_names</span> <span class="op">=</span> <span class="op">[</span><span class="str">f"simulation_{idx}.{self.suffix_files}"</span> <span class="key">for</span> <span class="nam">idx</span> <span class="key">in</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t709" href="#t709">709</a></span><span class="t">                                 <span class="nam">range</span><span class="op">(</span><span class="nam">len</span><span class="op">(</span><span class="nam">samples</span><span class="op">)</span><span class="op">)</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t710" href="#t710">710</a></span><span class="t">            <span class="nam">_filepaths</span> <span class="op">=</span> <span class="op">[</span><span class="nam">sim_dir</span><span class="op">.</span><span class="nam">joinpath</span><span class="op">(</span><span class="nam">result_file_name</span><span class="op">)</span> <span class="key">for</span> <span class="nam">result_file_name</span> <span class="key">in</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t711" href="#t711">711</a></span><span class="t">                          <span class="nam">result_file_names</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t712" href="#t712">712</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t713" href="#t713">713</a></span><span class="t">            <span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_load_analyze_tsteps</span><span class="op">(</span><span class="nam">_filepaths</span><span class="op">=</span><span class="nam">_filepaths</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t714" href="#t714">714</a></span><span class="t">                                                                            <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t715" href="#t715">715</a></span><span class="t">                                                                            <span class="nam">n_steps</span><span class="op">=</span><span class="nam">n_steps</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t716" href="#t716">716</a></span><span class="t">                                                                            <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t717" href="#t717">717</a></span><span class="t">            <span class="nam">sen_time_dependent_df</span> <span class="op">=</span> <span class="nam">_restruct_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t718" href="#t718">718</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t719" href="#t719">719</a></span><span class="t">            <span class="nam">results</span><span class="op">,</span> <span class="nam">samples</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">simulate_samples</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t720" href="#t720">720</a></span><span class="t">                <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t721" href="#t721">721</a></span><span class="t">                <span class="nam">scale</span><span class="op">=</span><span class="nam">scale</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t722" href="#t722">722</a></span><span class="t">            <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t723" href="#t723">723</a></span><span class="t">            <span class="key">if</span> <span class="nam">self</span><span class="op">.</span><span class="nam">save_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t724" href="#t724">724</a></span><span class="t">                <span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_load_analyze_tsteps</span><span class="op">(</span><span class="nam">_filepaths</span><span class="op">=</span><span class="nam">results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t725" href="#t725">725</a></span><span class="t">                                                                                <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t726" href="#t726">726</a></span><span class="t">                                                                                <span class="nam">n_steps</span><span class="op">=</span><span class="nam">n_steps</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t727" href="#t727">727</a></span><span class="t">                                                                                <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t728" href="#t728">728</a></span><span class="t">                <span class="nam">sen_time_dependent_df</span> <span class="op">=</span> <span class="nam">_restruct_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_list</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t729" href="#t729">729</a></span><span class="t">                                                                 <span class="nam">time_index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t730" href="#t730">730</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t731" href="#t731">731</a></span><span class="t">                <span class="nam">variables</span> <span class="op">=</span> <span class="nam">results</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">.</span><span class="nam">get_variable_names</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t732" href="#t732">732</a></span><span class="t">                <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">results</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t733" href="#t733">733</a></span><span class="t">                <span class="nam">total_result</span> <span class="op">=</span> <span class="nam">_concat_all_sims</span><span class="op">(</span><span class="nam">results</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t734" href="#t734">734</a></span><span class="t">                <span class="nam">sen_time_dependent_list</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t735" href="#t735">735</a></span><span class="t">                <span class="key">for</span> <span class="nam">time_step</span> <span class="key">in</span> <span class="nam">time_index</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t736" href="#t736">736</a></span><span class="t">                    <span class="nam">result_df_tstep</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_analyze_tstep_df</span><span class="op">(</span><span class="nam">time_step</span><span class="op">=</span><span class="nam">time_step</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t737" href="#t737">737</a></span><span class="t">                                                             <span class="nam">tsteps_sim_results</span><span class="op">=</span><span class="nam">total_result</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t738" href="#t738">738</a></span><span class="t">                                                             <span class="nam">variables</span><span class="op">=</span><span class="nam">variables</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t739" href="#t739">739</a></span><span class="t">                                                             <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t740" href="#t740">740</a></span><span class="t">                                                             <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t741" href="#t741">741</a></span><span class="t">                    <span class="nam">sen_time_dependent_list</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">result_df_tstep</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t742" href="#t742">742</a></span><span class="t">                <span class="nam">sen_time_dependent_df</span> <span class="op">=</span> <span class="nam">_restruct_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_list</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t743" href="#t743">743</a></span><span class="t">                                                                 <span class="nam">time_index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t744" href="#t744">744</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span><span class="str">"Finished time dependent sensitivity analysys."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t745" href="#t745">745</a></span><span class="t">        <span class="key">if</span> <span class="nam">save_results</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t746" href="#t746">746</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">_save</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">,</span> <span class="nam">time_dependent</span><span class="op">=</span><span class="key">True</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t747" href="#t747">747</a></span><span class="t">        <span class="key">if</span> <span class="nam">plot_result</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t748" href="#t748">748</a></span><span class="t">            <span class="key">if</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">,</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t749" href="#t749">749</a></span><span class="t">                <span class="nam">plot_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t750" href="#t750">750</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t751" href="#t751">751</a></span><span class="t">                <span class="nam">plot_time_dependent</span><span class="op">(</span><span class="nam">sen_time_dependent_df</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t752" href="#t752">752</a></span><span class="t">        <span class="key">return</span> <span class="nam">sen_time_dependent_df</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t753" href="#t753">753</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t754" href="#t754">754</a></span><span class="t">    <span class="key">def</span> <span class="nam">_analyze_tstep_df</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">time_step</span><span class="op">,</span> <span class="nam">tsteps_sim_results</span><span class="op">,</span> <span class="nam">variables</span><span class="op">,</span> <span class="nam">samples</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t755" href="#t755">755</a></span><span class="t">        <span class="str">"""Analyze the sensitivity at a single time step."""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t756" href="#t756">756</a></span><span class="t">        <span class="nam">result_dict_tstep</span> <span class="op">=</span> <span class="op">{</span><span class="op">}</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t757" href="#t757">757</a></span><span class="t">        <span class="key">for</span> <span class="nam">var</span> <span class="key">in</span> <span class="nam">variables</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t758" href="#t758">758</a></span><span class="t">            <span class="nam">result_tstep_var</span> <span class="op">=</span> <span class="nam">tsteps_sim_results</span><span class="op">[</span><span class="nam">var</span><span class="op">]</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">time_step</span><span class="op">]</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t759" href="#t759">759</a></span><span class="t">            <span class="key">if</span> <span class="nam">np</span><span class="op">.</span><span class="nam">all</span><span class="op">(</span><span class="nam">result_tstep_var</span> <span class="op">==</span> <span class="nam">result_tstep_var</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t760" href="#t760">760</a></span><span class="t">                <span class="nam">sen_tstep_var</span> <span class="op">=</span> <span class="key">None</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t761" href="#t761">761</a></span><span class="t">            <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t762" href="#t762">762</a></span><span class="t">                <span class="nam">sen_tstep_var</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">analysis_function</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t763" href="#t763">763</a></span><span class="t">                    <span class="nam">x</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t764" href="#t764">764</a></span><span class="t">                    <span class="nam">y</span><span class="op">=</span><span class="nam">result_tstep_var</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t765" href="#t765">765</a></span><span class="t">                <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t766" href="#t766">766</a></span><span class="t">            <span class="nam">result_dict_tstep</span><span class="op">[</span><span class="nam">var</span><span class="op">]</span> <span class="op">=</span> <span class="nam">sen_tstep_var</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t767" href="#t767">767</a></span><span class="t">        <span class="nam">result_df_tstep</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_conv_local_results</span><span class="op">(</span><span class="nam">results</span><span class="op">=</span><span class="op">[</span><span class="nam">result_dict_tstep</span><span class="op">]</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t768" href="#t768">768</a></span><span class="t">                                                   <span class="nam">local_classes</span><span class="op">=</span><span class="op">[</span><span class="nam">cal_class</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t769" href="#t769">769</a></span><span class="t">        <span class="key">return</span> <span class="nam">result_df_tstep</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t770" href="#t770">770</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t771" href="#t771">771</a></span><span class="t">    <span class="key">def</span> <span class="nam">_load_tsteps_df</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">tsteps</span><span class="op">,</span> <span class="nam">_filepaths</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t772" href="#t772">772</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t773" href="#t773">773</a></span><span class="t"><span class="str">        Load all simulations and extract and concat the sim results of the time steps in tsteps.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t774" href="#t774">774</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t775" href="#t775">775</a></span><span class="t">        <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t776" href="#t776">776</a></span><span class="t">            <span class="str">f"Loading time steps from {tsteps[0]} to {tsteps[-1]} of the simulation files."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t777" href="#t777">777</a></span><span class="t">        <span class="nam">tsteps_sim_results</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t778" href="#t778">778</a></span><span class="t">        <span class="key">for</span> <span class="nam">_filepath</span> <span class="key">in</span> <span class="nam">_filepaths</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t779" href="#t779">779</a></span><span class="t">            <span class="nam">sim</span> <span class="op">=</span> <span class="nam">_load_single_file</span><span class="op">(</span><span class="nam">_filepath</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t780" href="#t780">780</a></span><span class="t">            <span class="nam">tsteps_sim_results</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">sim</span><span class="op">.</span><span class="nam">loc</span><span class="op">[</span><span class="nam">tsteps</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">:</span><span class="nam">tsteps</span><span class="op">[</span><span class="op">-</span><span class="num">1</span><span class="op">]</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t781" href="#t781">781</a></span><span class="t">        <span class="nam">tsteps_sim_results</span> <span class="op">=</span> <span class="nam">_concat_all_sims</span><span class="op">(</span><span class="nam">tsteps_sim_results</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t782" href="#t782">782</a></span><span class="t">        <span class="key">return</span> <span class="nam">tsteps_sim_results</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t783" href="#t783">783</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t784" href="#t784">784</a></span><span class="t">    <span class="key">def</span> <span class="nam">_load_analyze_tsteps</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">_filepaths</span><span class="op">,</span> <span class="nam">samples</span><span class="op">,</span> <span class="nam">n_steps</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t785" href="#t785">785</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t786" href="#t786">786</a></span><span class="t"><span class="str">        Load and analyze all time steps in chunks with n_steps time steps.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t787" href="#t787">787</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t788" href="#t788">788</a></span><span class="t">        <span class="nam">sim1</span> <span class="op">=</span> <span class="nam">_load_single_file</span><span class="op">(</span><span class="nam">_filepaths</span><span class="op">[</span><span class="num">0</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t789" href="#t789">789</a></span><span class="t">        <span class="nam">time_index</span> <span class="op">=</span> <span class="nam">sim1</span><span class="op">.</span><span class="nam">index</span><span class="op">.</span><span class="nam">to_numpy</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t790" href="#t790">790</a></span><span class="t">        <span class="nam">variables</span> <span class="op">=</span> <span class="nam">sim1</span><span class="op">.</span><span class="nam">get_variable_names</span><span class="op">(</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t791" href="#t791">791</a></span><span class="t">        <span class="nam">sen_time_dependent_list</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t792" href="#t792">792</a></span><span class="t">        <span class="key">if</span> <span class="nam">n_steps</span> <span class="op">==</span> <span class="str">'all'</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t793" href="#t793">793</a></span><span class="t">            <span class="nam">list_tsteps</span> <span class="op">=</span> <span class="op">[</span><span class="nam">time_index</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t794" href="#t794">794</a></span><span class="t">        <span class="key">elif</span> <span class="nam">isinstance</span><span class="op">(</span><span class="nam">n_steps</span><span class="op">,</span> <span class="nam">int</span><span class="op">)</span> <span class="key">and</span> <span class="key">not</span> <span class="op">(</span><span class="nam">n_steps</span> <span class="op">&lt;=</span> <span class="num">0</span> <span class="key">or</span> <span class="nam">n_steps</span> <span class="op">></span> <span class="nam">len</span><span class="op">(</span><span class="nam">time_index</span><span class="op">)</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t795" href="#t795">795</a></span><span class="t">            <span class="nam">list_tsteps</span> <span class="op">=</span> <span class="nam">_divide_chunks</span><span class="op">(</span><span class="nam">time_index</span><span class="op">,</span> <span class="nam">n_steps</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t796" href="#t796">796</a></span><span class="t">        <span class="key">else</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t797" href="#t797">797</a></span><span class="t">            <span class="key">raise</span> <span class="nam">ValueError</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t798" href="#t798">798</a></span><span class="t">                <span class="str">f"n_steps can only be between 1 and {len(time_index)} or the string all."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t799" href="#t799">799</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t800" href="#t800">800</a></span><span class="t">        <span class="key">for</span> <span class="nam">tsteps</span> <span class="key">in</span> <span class="nam">list_tsteps</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t801" href="#t801">801</a></span><span class="t">            <span class="nam">tsteps_sim_results</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_load_tsteps_df</span><span class="op">(</span><span class="nam">tsteps</span><span class="op">=</span><span class="nam">tsteps</span><span class="op">,</span> <span class="nam">_filepaths</span><span class="op">=</span><span class="nam">_filepaths</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t802" href="#t802">802</a></span><span class="t">            <span class="nam">self</span><span class="op">.</span><span class="nam">logger</span><span class="op">.</span><span class="nam">info</span><span class="op">(</span><span class="str">"Analyzing these time steps."</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t803" href="#t803">803</a></span><span class="t">            <span class="key">for</span> <span class="nam">tstep</span> <span class="key">in</span> <span class="nam">tsteps</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t804" href="#t804">804</a></span><span class="t">                <span class="nam">result_df_tstep</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_analyze_tstep_df</span><span class="op">(</span><span class="nam">time_step</span><span class="op">=</span><span class="nam">tstep</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t805" href="#t805">805</a></span><span class="t">                                                         <span class="nam">tsteps_sim_results</span><span class="op">=</span><span class="nam">tsteps_sim_results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t806" href="#t806">806</a></span><span class="t">                                                         <span class="nam">variables</span><span class="op">=</span><span class="nam">variables</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t807" href="#t807">807</a></span><span class="t">                                                         <span class="nam">samples</span><span class="op">=</span><span class="nam">samples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t808" href="#t808">808</a></span><span class="t">                                                         <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t809" href="#t809">809</a></span><span class="t">                <span class="nam">sen_time_dependent_list</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">result_df_tstep</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t810" href="#t810">810</a></span><span class="t">        <span class="key">return</span> <span class="nam">sen_time_dependent_list</span><span class="op">,</span> <span class="nam">time_index</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t811" href="#t811">811</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t812" href="#t812">812</a></span><span class="t">    <span class="key">def</span> <span class="nam">_conv_global_result</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">:</span> <span class="nam">dict</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t813" href="#t813">813</a></span><span class="t">                            <span class="nam">analysis_variable</span><span class="op">:</span> <span class="nam">str</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t814" href="#t814">814</a></span><span class="t">        <span class="nam">glo_res_dict</span> <span class="op">=</span> <span class="nam">self</span><span class="op">.</span><span class="nam">_get_res_dict</span><span class="op">(</span><span class="nam">result</span><span class="op">=</span><span class="nam">result</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">=</span><span class="nam">cal_class</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t815" href="#t815">815</a></span><span class="t">                                          <span class="nam">analysis_variable</span><span class="op">=</span><span class="nam">analysis_variable</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t816" href="#t816">816</a></span><span class="t">        <span class="key">return</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="nam">glo_res_dict</span><span class="op">,</span> <span class="nam">index</span><span class="op">=</span><span class="op">[</span><span class="str">'global'</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t817" href="#t817">817</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t818" href="#t818">818</a></span><span class="t">    <span class="key">def</span> <span class="nam">_conv_local_results</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">results</span><span class="op">:</span> <span class="nam">list</span><span class="op">,</span> <span class="nam">local_classes</span><span class="op">:</span> <span class="nam">list</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t819" href="#t819">819</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t820" href="#t820">820</a></span><span class="t"><span class="str">        Convert the result dictionaries form SALib of each class and goal into one DataFrame.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t821" href="#t821">821</a></span><span class="t"><span class="str">        Overwritten for Sobol.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t822" href="#t822">822</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t823" href="#t823">823</a></span><span class="t">        <span class="nam">_conv_results</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t824" href="#t824">824</a></span><span class="t">        <span class="nam">tuples</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t825" href="#t825">825</a></span><span class="t">        <span class="key">for</span> <span class="nam">class_results</span><span class="op">,</span> <span class="nam">local_class</span> <span class="key">in</span> <span class="nam">zip</span><span class="op">(</span><span class="nam">results</span><span class="op">,</span> <span class="nam">local_classes</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t826" href="#t826">826</a></span><span class="t">            <span class="key">for</span> <span class="nam">goal</span><span class="op">,</span> <span class="nam">goal_results</span> <span class="key">in</span> <span class="nam">class_results</span><span class="op">.</span><span class="nam">items</span><span class="op">(</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t827" href="#t827">827</a></span><span class="t">                <span class="key">for</span> <span class="nam">analysis_var</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">analysis_variables</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t828" href="#t828">828</a></span><span class="t">                    <span class="nam">_conv_results</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">_get_res_dict</span><span class="op">(</span><span class="nam">result</span><span class="op">=</span><span class="nam">goal_results</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t829" href="#t829">829</a></span><span class="t">                                                            <span class="nam">cal_class</span><span class="op">=</span><span class="nam">local_class</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t830" href="#t830">830</a></span><span class="t">                                                            <span class="nam">analysis_variable</span><span class="op">=</span><span class="nam">analysis_var</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t831" href="#t831">831</a></span><span class="t">                    <span class="nam">tuples</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="op">(</span><span class="nam">local_class</span><span class="op">.</span><span class="nam">name</span><span class="op">,</span> <span class="nam">goal</span><span class="op">,</span> <span class="nam">analysis_var</span><span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t832" href="#t832">832</a></span><span class="t">        <span class="nam">index</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">MultiIndex</span><span class="op">.</span><span class="nam">from_tuples</span><span class="op">(</span><span class="nam">tuples</span><span class="op">=</span><span class="nam">tuples</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t833" href="#t833">833</a></span><span class="t">                                          <span class="nam">names</span><span class="op">=</span><span class="op">[</span><span class="str">'Class'</span><span class="op">,</span> <span class="str">'Goal'</span><span class="op">,</span> <span class="str">'Analysis variable'</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t834" href="#t834">834</a></span><span class="t">        <span class="nam">df</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">DataFrame</span><span class="op">(</span><span class="nam">_conv_results</span><span class="op">,</span> <span class="nam">index</span><span class="op">=</span><span class="nam">index</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t835" href="#t835">835</a></span><span class="t">        <span class="key">return</span> <span class="nam">df</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t836" href="#t836">836</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t837" href="#t837">837</a></span><span class="t">    <span class="op">@</span><span class="nam">abc</span><span class="op">.</span><span class="nam">abstractmethod</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t838" href="#t838">838</a></span><span class="t">    <span class="key">def</span> <span class="nam">_get_res_dict</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">:</span> <span class="nam">dict</span><span class="op">,</span> <span class="nam">cal_class</span><span class="op">:</span> <span class="nam">CalibrationClass</span><span class="op">,</span> <span class="nam">analysis_variable</span><span class="op">:</span> <span class="nam">str</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t839" href="#t839">839</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t840" href="#t840">840</a></span><span class="t"><span class="str">        Convert the result object to a dict with the key</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t841" href="#t841">841</a></span><span class="t"><span class="str">        being the variable name and the value being the result</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t842" href="#t842">842</a></span><span class="t"><span class="str">        associated to analysis_variable.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t843" href="#t843">843</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="exc show_exc"><span class="n"><a id="t844" href="#t844">844</a></span><span class="t">        <span class="key">raise</span> <span class="nam">NotImplementedError</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t845" href="#t845">845</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t846" href="#t846">846</a></span><span class="t">    <span class="key">def</span> <span class="nam">plot</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span> <span class="nam">result</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t847" href="#t847">847</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t848" href="#t848">848</a></span><span class="t"><span class="str">        Plot the results of the sensitivity analysis method from run().</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t849" href="#t849">849</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t850" href="#t850">850</a></span><span class="t"><span class="str">        :param pd.DataFrame result:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t851" href="#t851">851</a></span><span class="t"><span class="str">            Dataframe of the results like from the run() function.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t852" href="#t852">852</a></span><span class="t"><span class="str">        :return tuple of matplotlib objects (fig, ax):</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t853" href="#t853">853</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="mis show_mis"><span class="n"><a id="t854" href="#t854">854</a></span><span class="t">        <span class="nam">plot_single</span><span class="op">(</span><span class="nam">result</span><span class="op">=</span><span class="nam">result</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t855" href="#t855">855</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t856" href="#t856">856</a></span><span class="t">    <span class="op">@</span><span class="nam">staticmethod</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t857" href="#t857">857</a></span><span class="t">    <span class="key">def</span> <span class="nam">load_from_csv</span><span class="op">(</span><span class="nam">path</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t858" href="#t858">858</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t859" href="#t859">859</a></span><span class="t"><span class="str">        Load sensitivity results which were saved with the run() or run_time_dependent() function.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t860" href="#t860">860</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t861" href="#t861">861</a></span><span class="t"><span class="str">        For second order results use the load_second_order_from_csv() function of the SobolAnalyzer.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t862" href="#t862">862</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t863" href="#t863">863</a></span><span class="t">        <span class="nam">result</span> <span class="op">=</span> <span class="nam">pd</span><span class="op">.</span><span class="nam">read_csv</span><span class="op">(</span><span class="nam">path</span><span class="op">,</span> <span class="nam">index_col</span><span class="op">=</span><span class="op">[</span><span class="num">0</span><span class="op">,</span> <span class="num">1</span><span class="op">,</span> <span class="num">2</span><span class="op">]</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t864" href="#t864">864</a></span><span class="t">        <span class="key">return</span> <span class="nam">result</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t865" href="#t865">865</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t866" href="#t866">866</a></span><span class="t">    <span class="key">def</span> <span class="nam">save_for_reproduction</span><span class="op">(</span><span class="nam">self</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t867" href="#t867">867</a></span><span class="t">                              <span class="nam">title</span><span class="op">:</span> <span class="nam">str</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t868" href="#t868">868</a></span><span class="t">                              <span class="nam">path</span><span class="op">:</span> <span class="nam">pathlib</span><span class="op">.</span><span class="nam">Path</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t869" href="#t869">869</a></span><span class="t">                              <span class="nam">files</span><span class="op">:</span> <span class="nam">list</span> <span class="op">=</span> <span class="key">None</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t870" href="#t870">870</a></span><span class="t">                              <span class="nam">exclude_sim_files</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t871" href="#t871">871</a></span><span class="t">                              <span class="nam">remove_saved_files</span><span class="op">:</span> <span class="nam">bool</span> <span class="op">=</span> <span class="key">False</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t872" href="#t872">872</a></span><span class="t">                              <span class="op">**</span><span class="nam">kwargs</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t873" href="#t873">873</a></span><span class="t">        <span class="str">"""</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t874" href="#t874">874</a></span><span class="t"><span class="str">        Save the settings of the SenAnalyzer and SimApi in order to</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t875" href="#t875">875</a></span><span class="t"><span class="str">        reproduce the simulations and sensitivity analysis method.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t876" href="#t876">876</a></span><span class="t"><span class="str">        All saved results will be also saved in the reproduction</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t877" href="#t877">877</a></span><span class="t"><span class="str">        archive. The simulations can be excluded from saving.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t878" href="#t878">878</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t879" href="#t879">879</a></span><span class="t"><span class="str">        :param str title:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t880" href="#t880">880</a></span><span class="t"><span class="str">            Title of the study</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t881" href="#t881">881</a></span><span class="t"><span class="str">        :param pathlib.Path path:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t882" href="#t882">882</a></span><span class="t"><span class="str">            Where to store the .zip file. If not given, self.cd is used.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t883" href="#t883">883</a></span><span class="t"><span class="str">        :param list files:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t884" href="#t884">884</a></span><span class="t"><span class="str">            List of files to save along the standard ones.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t885" href="#t885">885</a></span><span class="t"><span class="str">            Examples would be plots, tables etc.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t886" href="#t886">886</a></span><span class="t"><span class="str">        :param bool exclude_sim_files:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t887" href="#t887">887</a></span><span class="t"><span class="str">            Default False. If True, the simulation files will not be saved in</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t888" href="#t888">888</a></span><span class="t"><span class="str">            the reproduction archive.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t889" href="#t889">889</a></span><span class="t"><span class="str">        :param bool remove_saved_files:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t890" href="#t890">890</a></span><span class="t"><span class="str">            Default False. If True, the result and simulation files will be moved</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t891" href="#t891">891</a></span><span class="t"><span class="str">            instead of just copied.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t892" href="#t892">892</a></span><span class="t"><span class="str">        :param dict kwargs:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t893" href="#t893">893</a></span><span class="t"><span class="str">            All keyword arguments except title, files, and path of the function</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t894" href="#t894">894</a></span><span class="t"><span class="str">            `save_reproduction_archive`. Most importantly, `log_message` may be</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t895" href="#t895">895</a></span><span class="t"><span class="str">            specified to avoid input during execution.</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t896" href="#t896">896</a></span><span class="t"><span class="str">        """</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t897" href="#t897">897</a></span><span class="t">        <span class="key">if</span> <span class="nam">files</span> <span class="key">is</span> <span class="key">None</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t898" href="#t898">898</a></span><span class="t">            <span class="nam">files</span> <span class="op">=</span> <span class="op">[</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t899" href="#t899">899</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t900" href="#t900">900</a></span><span class="t">        <span class="key">for</span> <span class="nam">file_path</span> <span class="key">in</span> <span class="nam">self</span><span class="op">.</span><span class="nam">reproduction_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t901" href="#t901">901</a></span><span class="t">            <span class="key">if</span> <span class="nam">exclude_sim_files</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t902" href="#t902">902</a></span><span class="t">                <span class="key">if</span> <span class="str">'simulation'</span> <span class="key">in</span> <span class="nam">str</span><span class="op">(</span><span class="nam">file_path</span><span class="op">)</span><span class="op">:</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t903" href="#t903">903</a></span><span class="t">                    <span class="key">continue</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t904" href="#t904">904</a></span><span class="t">            <span class="nam">filename</span> <span class="op">=</span> <span class="str">"SenAnalyzer"</span> <span class="op">+</span> <span class="nam">str</span><span class="op">(</span><span class="nam">file_path</span><span class="op">)</span><span class="op">.</span><span class="nam">rsplit</span><span class="op">(</span><span class="nam">self</span><span class="op">.</span><span class="nam">cd</span><span class="op">.</span><span class="nam">name</span><span class="op">,</span> <span class="nam">maxsplit</span><span class="op">=</span><span class="num">1</span><span class="op">)</span><span class="op">[</span><span class="op">-</span><span class="num">1</span><span class="op">]</span>&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t905" href="#t905">905</a></span><span class="t">            <span class="nam">files</span><span class="op">.</span><span class="nam">append</span><span class="op">(</span><span class="nam">CopyFile</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t906" href="#t906">906</a></span><span class="t">                <span class="nam">sourcepath</span><span class="op">=</span><span class="nam">file_path</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t907" href="#t907">907</a></span><span class="t">                <span class="nam">filename</span><span class="op">=</span><span class="nam">filename</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t908" href="#t908">908</a></span><span class="t">                <span class="nam">remove</span><span class="op">=</span><span class="nam">remove_saved_files</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t909" href="#t909">909</a></span><span class="t">            <span class="op">)</span><span class="op">)</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t910" href="#t910">910</a></span><span class="t">&nbsp;</span><span class="r"></span></p>
+    <p class="run"><span class="n"><a id="t911" href="#t911">911</a></span><span class="t">        <span class="key">return</span> <span class="nam">self</span><span class="op">.</span><span class="nam">sim_api</span><span class="op">.</span><span class="nam">save_for_reproduction</span><span class="op">(</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t912" href="#t912">912</a></span><span class="t">            <span class="nam">title</span><span class="op">=</span><span class="nam">title</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t913" href="#t913">913</a></span><span class="t">            <span class="nam">path</span><span class="op">=</span><span class="nam">path</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t914" href="#t914">914</a></span><span class="t">            <span class="nam">files</span><span class="op">=</span><span class="nam">files</span><span class="op">,</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t915" href="#t915">915</a></span><span class="t">            <span class="op">**</span><span class="nam">kwargs</span>&nbsp;</span><span class="r"></span></p>
+    <p class="pln"><span class="n"><a id="t916" href="#t916">916</a></span><span class="t">        <span class="op">)</span>&nbsp;</span><span class="r"></span></p>
 </main>
 <footer>
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index 549f127d..94123a8d 100644
--- a/docs/43-Improvement-of-sensitivity-analysis/coverage/index.html
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diff --git a/docs/43-Improvement-of-sensitivity-analysis/docs/_modules/aixcalibuha/sensitivity_analysis/sensitivity_analyzer.html b/docs/43-Improvement-of-sensitivity-analysis/docs/_modules/aixcalibuha/sensitivity_analysis/sensitivity_analyzer.html
index 41408ec9..684151ee 100644
--- a/docs/43-Improvement-of-sensitivity-analysis/docs/_modules/aixcalibuha/sensitivity_analysis/sensitivity_analyzer.html
+++ b/docs/43-Improvement-of-sensitivity-analysis/docs/_modules/aixcalibuha/sensitivity_analysis/sensitivity_analyzer.html
@@ -616,6 +616,9 @@ <h1>Source code for aixcalibuha.sensitivity_analysis.sensitivity_analyzer</h1><d
                 <span class="p">)</span>
                 <span class="n">results_goals</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">result_goal</span>
             <span class="n">all_results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">results_goals</span><span class="p">)</span>
+            <span class="bp">self</span><span class="o">.</span><span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">&#39;Finished sensitivity analysis of class: </span><span class="si">%s</span><span class="s1">, &#39;</span>
+                             <span class="s1">&#39;Time-Interval: </span><span class="si">%s</span><span class="s1">-</span><span class="si">%s</span><span class="s1"> s&#39;</span><span class="p">,</span> <span class="n">cal_class</span><span class="o">.</span><span class="n">name</span><span class="p">,</span>
+                             <span class="n">cal_class</span><span class="o">.</span><span class="n">start_time</span><span class="p">,</span> <span class="n">cal_class</span><span class="o">.</span><span class="n">stop_time</span><span class="p">)</span>
         <span class="n">result</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_conv_local_results</span><span class="p">(</span><span class="n">results</span><span class="o">=</span><span class="n">all_results</span><span class="p">,</span>
                                           <span class="n">local_classes</span><span class="o">=</span><span class="n">calibration_classes</span><span class="p">)</span>
         <span class="k">if</span> <span class="n">save_results</span><span class="p">:</span>
diff --git a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.html b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.html
index 40c2bd15..8193983e 100644
--- a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.html
+++ b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.html
@@ -28,9 +28,9 @@ <h1>Pylint report from report.jinja2</h1>
 
         
         <h2>Score</h2>
-        9.51 / 10
+        9.50 / 10
             
-            (previous score: 9.50 / 10)
+            (previous score: 9.51 / 10)
             
         
 
@@ -149,7 +149,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis.plotting -&gt; aixcalibuha.utils.visualizer)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha.calibration -&gt; aixcalibuha.calibration.multi_class_calibrator)</pre></td>
             </tr>
             
             <tr>
@@ -159,7 +159,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.morris)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.calibration -&gt; aixcalibuha.calibration.multi_class_calibrator)</pre></td>
             </tr>
             
             <tr>
@@ -169,7 +169,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha.calibration -&gt; aixcalibuha.calibration.multi_class_calibrator)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.sobol)</pre></td>
             </tr>
             
             <tr>
@@ -179,7 +179,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.morris)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.calibration -&gt; aixcalibuha.calibration.calibrator -&gt; aixcalibuha.utils.visualizer)</pre></td>
             </tr>
             
             <tr>
@@ -189,7 +189,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.sensitivity_analyzer -&gt; aixcalibuha.utils)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.calibration -&gt; aixcalibuha.calibration.calibrator -&gt; aixcalibuha.utils)</pre></td>
             </tr>
             
             <tr>
@@ -199,7 +199,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.calibration -&gt; aixcalibuha.calibration.calibrator -&gt; aixcalibuha.utils.visualizer)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis.plotting -&gt; aixcalibuha.utils.visualizer)</pre></td>
             </tr>
             
             <tr>
@@ -219,7 +219,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.fast)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.fast)</pre></td>
             </tr>
             
             <tr>
@@ -229,7 +229,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.pawn)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.sobol)</pre></td>
             </tr>
             
             <tr>
@@ -239,7 +239,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.sobol)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.pawn)</pre></td>
             </tr>
             
             <tr>
@@ -249,7 +249,7 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.calibration -&gt; aixcalibuha.calibration.calibrator)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.morris)</pre></td>
             </tr>
             
             <tr>
@@ -259,7 +259,17 @@ <h3>Module <code>aixcalibuha.calibration.multi_class_calibrator</code> (<code>ai
                 <td><code>cyclic-import</code></td>
                 <td>R0401</td>
                 <td></td>
-                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.calibration -&gt; aixcalibuha.calibration.multi_class_calibrator)</pre></td>
+                <td><pre>Cyclic import (aixcalibuha.sensitivity_analysis -&gt; aixcalibuha.sensitivity_analysis.morris)</pre></td>
+            </tr>
+            
+            <tr>
+                <td>1</td>
+                <td>0</td>
+                <td>refactor</td>
+                <td><code>cyclic-import</code></td>
+                <td>R0401</td>
+                <td></td>
+                <td><pre>Cyclic import (aixcalibuha -&gt; aixcalibuha.calibration -&gt; aixcalibuha.calibration.calibrator)</pre></td>
             </tr>
             
             <tr>
@@ -589,11 +599,11 @@ <h3>Module <code>aixcalibuha.sensitivity_analysis.sensitivity_analyzer</code> (<
                 <td><code>too-many-statements</code></td>
                 <td>R0915</td>
                 <td>SenAnalyzer.run</td>
-                <td><pre>Too many statements (74/50)</pre></td>
+                <td><pre>Too many statements (75/50)</pre></td>
             </tr>
             
             <tr>
-                <td>661</td>
+                <td>664</td>
                 <td>4</td>
                 <td>refactor</td>
                 <td><code>too-many-locals</code></td>
@@ -603,7 +613,7 @@ <h3>Module <code>aixcalibuha.sensitivity_analysis.sensitivity_analyzer</code> (<
             </tr>
             
             <tr>
-                <td>751</td>
+                <td>754</td>
                 <td>4</td>
                 <td>refactor</td>
                 <td><code>too-many-arguments</code></td>
@@ -613,7 +623,7 @@ <h3>Module <code>aixcalibuha.sensitivity_analysis.sensitivity_analyzer</code> (<
             </tr>
             
             <tr>
-                <td>863</td>
+                <td>866</td>
                 <td>4</td>
                 <td>refactor</td>
                 <td><code>too-many-arguments</code></td>
@@ -1668,7 +1678,7 @@ <h3>Count per types</h3>
             
             <tr>
                 <td>refactor</td>
-                <td>104</td>
+                <td>105</td>
             </tr>
             
             <tr>
@@ -1813,7 +1823,7 @@ <h3>Count per messages</h3>
             
             <tr>
                 <td>cyclic-import</td>
-                <td>12</td>
+                <td>13</td>
             </tr>
             
         </table>
@@ -1878,7 +1888,7 @@ <h3>Count per modules</h3>
             
             <tr>
                 <td>aixcalibuha.calibration.multi_class_calibrator</td>
-                <td>19</td>
+                <td>20</td>
             </tr>
             
         </table>
@@ -1943,7 +1953,7 @@ <h3>Count per path</h3>
             
             <tr>
                 <td>aixcalibuha/calibration/multi_class_calibrator.py</td>
-                <td>19</td>
+                <td>20</td>
             </tr>
             
         </table>
diff --git a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.json b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.json
index 52a208ab..5cf65920 100644
--- a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.json
+++ b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.json
@@ -1196,14 +1196,14 @@
             "column": 4,
             "path": "aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py",
             "symbol": "too-many-statements",
-            "message": "Too many statements (74/50)",
+            "message": "Too many statements (75/50)",
             "message-id": "R0915"
         },
         {
             "type": "refactor",
             "module": "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
             "obj": "SenAnalyzer.run_time_dependent",
-            "line": 661,
+            "line": 664,
             "column": 4,
             "path": "aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py",
             "symbol": "too-many-locals",
@@ -1214,7 +1214,7 @@
             "type": "refactor",
             "module": "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
             "obj": "SenAnalyzer._analyze_tstep_df",
-            "line": 751,
+            "line": 754,
             "column": 4,
             "path": "aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py",
             "symbol": "too-many-arguments",
@@ -1225,7 +1225,7 @@
             "type": "refactor",
             "module": "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
             "obj": "SenAnalyzer.save_for_reproduction",
-            "line": 863,
+            "line": 866,
             "column": 4,
             "path": "aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py",
             "symbol": "too-many-arguments",
@@ -1482,7 +1482,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis.plotting -> aixcalibuha.utils.visualizer)",
+            "message": "Cyclic import (aixcalibuha.calibration -> aixcalibuha.calibration.multi_class_calibrator)",
             "message-id": "R0401"
         },
         {
@@ -1493,7 +1493,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.morris)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.multi_class_calibrator)",
             "message-id": "R0401"
         },
         {
@@ -1504,7 +1504,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha.calibration -> aixcalibuha.calibration.multi_class_calibrator)",
+            "message": "Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sobol)",
             "message-id": "R0401"
         },
         {
@@ -1515,7 +1515,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.morris)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator -> aixcalibuha.utils.visualizer)",
             "message-id": "R0401"
         },
         {
@@ -1526,7 +1526,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sensitivity_analyzer -> aixcalibuha.utils)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator -> aixcalibuha.utils)",
             "message-id": "R0401"
         },
         {
@@ -1537,7 +1537,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator -> aixcalibuha.utils.visualizer)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis.plotting -> aixcalibuha.utils.visualizer)",
             "message-id": "R0401"
         },
         {
@@ -1559,7 +1559,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.fast)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.fast)",
             "message-id": "R0401"
         },
         {
@@ -1570,7 +1570,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.pawn)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sobol)",
             "message-id": "R0401"
         },
         {
@@ -1581,7 +1581,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sobol)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.pawn)",
             "message-id": "R0401"
         },
         {
@@ -1592,7 +1592,7 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator)",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.morris)",
             "message-id": "R0401"
         },
         {
@@ -1603,7 +1603,18 @@
             "column": 0,
             "path": "aixcalibuha/calibration/multi_class_calibrator.py",
             "symbol": "cyclic-import",
-            "message": "Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.multi_class_calibrator)",
+            "message": "Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.morris)",
+            "message-id": "R0401"
+        },
+        {
+            "type": "refactor",
+            "module": "aixcalibuha.calibration.multi_class_calibrator",
+            "obj": "",
+            "line": 1,
+            "column": 0,
+            "path": "aixcalibuha/calibration/multi_class_calibrator.py",
+            "symbol": "cyclic-import",
+            "message": "Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator)",
             "message-id": "R0401"
         }
     ],
@@ -1684,7 +1695,7 @@
                 "fatal": 0,
                 "info": 0,
                 "refactor": 7,
-                "statement": 401,
+                "statement": 402,
                 "warning": 0
             },
             "aixcalibuha.sensitivity_analysis.fast": {
@@ -1755,7 +1766,7 @@
                 "error": 0,
                 "fatal": 0,
                 "info": 0,
-                "refactor": 17,
+                "refactor": 18,
                 "statement": 98,
                 "warning": 0
             }
@@ -1782,7 +1793,7 @@
             "unused-variable": 1,
             "broad-exception-raised": 1,
             "no-else-return": 1,
-            "cyclic-import": 12
+            "cyclic-import": 13
         },
         "code_type_count": {
             "code": 0,
@@ -1802,37 +1813,37 @@
                 "aixcalibuha.calibration.multi_class_calibrator"
             ],
             "aixcalibuha.sensitivity_analysis": [
+                "aixcalibuha",
+                "aixcalibuha.sensitivity_analysis.sobol",
                 "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.fast",
                 "aixcalibuha.sensitivity_analysis.pawn",
-                "aixcalibuha",
-                "aixcalibuha.sensitivity_analysis.sobol"
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "aixcalibuha.sensitivity_analysis.plotting": [
+                "aixcalibuha.sensitivity_analysis",
                 "aixcalibuha",
                 "aixcalibuha.sensitivity_analysis.sobol",
-                "aixcalibuha.sensitivity_analysis",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "pandas": [
                 "aixcalibuha.data_types",
-                "aixcalibuha.sensitivity_analysis.plotting",
-                "aixcalibuha.calibration.calibrator",
                 "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.calibration.calibrator",
+                "aixcalibuha.sensitivity_analysis.plotting",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "numpy": [
                 "aixcalibuha.data_types",
+                "aixcalibuha.sensitivity_analysis.sobol",
                 "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.fast",
-                "aixcalibuha.calibration.multi_class_calibrator",
-                "aixcalibuha.sensitivity_analysis.pawn",
-                "aixcalibuha.sensitivity_analysis.plotting",
-                "aixcalibuha.utils.visualizer",
                 "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.sensitivity_analysis.plotting",
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.calibration.multi_class_calibrator",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
-                "aixcalibuha.utils.configuration"
+                "aixcalibuha.utils.configuration",
+                "aixcalibuha.utils.visualizer",
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "ebcpy": [
                 "aixcalibuha.data_types",
@@ -1845,31 +1856,31 @@
                 "aixcalibuha.data_types"
             ],
             "matplotlib.pyplot": [
-                "aixcalibuha.sensitivity_analysis.plotting",
-                "aixcalibuha.utils.visualizer"
+                "aixcalibuha.utils.visualizer",
+                "aixcalibuha.sensitivity_analysis.plotting"
             ],
             "ebcpy.utils": [
                 "aixcalibuha.utils.visualizer",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "aixcalibuha": [
+                "aixcalibuha.sensitivity_analysis.sobol",
                 "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.fast",
-                "aixcalibuha.calibration.multi_class_calibrator",
-                "aixcalibuha.sensitivity_analysis.pawn",
-                "aixcalibuha.utils.visualizer",
                 "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.utils",
-                "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.calibration.multi_class_calibrator",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
-                "aixcalibuha.utils.configuration"
+                "aixcalibuha.utils.configuration",
+                "aixcalibuha.utils",
+                "aixcalibuha.utils.visualizer",
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "toml": [
                 "aixcalibuha.utils.configuration"
             ],
             "ebcpy.data_types": [
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.utils.configuration"
+                "aixcalibuha.utils.configuration",
+                "aixcalibuha.calibration.calibrator"
             ],
             "matplotlib": [
                 "aixcalibuha.sensitivity_analysis.plotting"
@@ -1885,16 +1896,16 @@
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "ebcpy.simulationapi": [
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
+                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
+                "aixcalibuha.calibration.calibrator"
             ],
             "aixcalibuha.utils": [
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
+                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
+                "aixcalibuha.calibration.calibrator"
             ],
             "SALib.sample.fast_sampler": [
-                "aixcalibuha.sensitivity_analysis.fast",
-                "aixcalibuha.sensitivity_analysis.pawn"
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "SALib.analyze.fast": [
                 "aixcalibuha.sensitivity_analysis.fast"
@@ -1915,12 +1926,12 @@
                 "aixcalibuha.sensitivity_analysis"
             ],
             "SALib.sample.sobol": [
-                "aixcalibuha.sensitivity_analysis.sobol",
-                "aixcalibuha.sensitivity_analysis.pawn"
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.sensitivity_analysis.sobol"
             ],
             "SALib.sample.morris": [
-                "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.pawn"
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.sensitivity_analysis.morris"
             ],
             "SALib.analyze.pawn": [
                 "aixcalibuha.sensitivity_analysis.pawn"
@@ -1958,8 +1969,8 @@
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         "info": 0,
-        "refactor": 44,
-        "statement": 1758,
+        "refactor": 45,
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@@ -2042,7 +2053,7 @@
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-                "statement": 401,
+                "statement": 402,
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             "aixcalibuha.sensitivity_analysis.fast": {
@@ -2113,7 +2124,7 @@
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-                "refactor": 18,
+                "refactor": 16,
                 "statement": 98,
                 "warning": 0
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@@ -2140,7 +2151,7 @@
             "unused-variable": 1,
             "broad-exception-raised": 1,
             "no-else-return": 1,
-            "cyclic-import": 13
+            "cyclic-import": 11
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         "code_type_count": {
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@@ -2160,37 +2171,37 @@
                 "aixcalibuha.calibration.multi_class_calibrator"
             ],
             "aixcalibuha.sensitivity_analysis": [
+                "aixcalibuha",
+                "aixcalibuha.sensitivity_analysis.sobol",
                 "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.fast",
                 "aixcalibuha.sensitivity_analysis.pawn",
-                "aixcalibuha",
-                "aixcalibuha.sensitivity_analysis.sobol"
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "aixcalibuha.sensitivity_analysis.plotting": [
+                "aixcalibuha.sensitivity_analysis",
                 "aixcalibuha",
                 "aixcalibuha.sensitivity_analysis.sobol",
-                "aixcalibuha.sensitivity_analysis",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "pandas": [
                 "aixcalibuha.data_types",
-                "aixcalibuha.sensitivity_analysis.plotting",
-                "aixcalibuha.calibration.calibrator",
                 "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.calibration.calibrator",
+                "aixcalibuha.sensitivity_analysis.plotting",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "numpy": [
                 "aixcalibuha.data_types",
+                "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.calibration.calibrator",
                 "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.fast",
-                "aixcalibuha.calibration.multi_class_calibrator",
                 "aixcalibuha.sensitivity_analysis.pawn",
                 "aixcalibuha.sensitivity_analysis.plotting",
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.utils.visualizer",
-                "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.calibration.multi_class_calibrator",
+                "aixcalibuha.utils.configuration",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
-                "aixcalibuha.utils.configuration"
+                "aixcalibuha.utils.visualizer",
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "ebcpy": [
                 "aixcalibuha.data_types",
@@ -2203,31 +2214,31 @@
                 "aixcalibuha.data_types"
             ],
             "matplotlib.pyplot": [
-                "aixcalibuha.sensitivity_analysis.plotting",
-                "aixcalibuha.utils.visualizer"
+                "aixcalibuha.utils.visualizer",
+                "aixcalibuha.sensitivity_analysis.plotting"
             ],
             "ebcpy.utils": [
                 "aixcalibuha.utils.visualizer",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "aixcalibuha": [
+                "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.calibration.calibrator",
                 "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.fast",
-                "aixcalibuha.calibration.multi_class_calibrator",
                 "aixcalibuha.sensitivity_analysis.pawn",
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.utils.visualizer",
-                "aixcalibuha.utils",
-                "aixcalibuha.sensitivity_analysis.sobol",
+                "aixcalibuha.calibration.multi_class_calibrator",
+                "aixcalibuha.utils.configuration",
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
-                "aixcalibuha.utils.configuration"
+                "aixcalibuha.utils",
+                "aixcalibuha.utils.visualizer",
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "toml": [
                 "aixcalibuha.utils.configuration"
             ],
             "ebcpy.data_types": [
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.utils.configuration"
+                "aixcalibuha.utils.configuration",
+                "aixcalibuha.calibration.calibrator"
             ],
             "matplotlib": [
                 "aixcalibuha.sensitivity_analysis.plotting"
@@ -2243,16 +2254,16 @@
                 "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
             ],
             "ebcpy.simulationapi": [
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
+                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
+                "aixcalibuha.calibration.calibrator"
             ],
             "aixcalibuha.utils": [
-                "aixcalibuha.calibration.calibrator",
-                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer"
+                "aixcalibuha.sensitivity_analysis.sensitivity_analyzer",
+                "aixcalibuha.calibration.calibrator"
             ],
             "SALib.sample.fast_sampler": [
-                "aixcalibuha.sensitivity_analysis.fast",
-                "aixcalibuha.sensitivity_analysis.pawn"
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.sensitivity_analysis.fast"
             ],
             "SALib.analyze.fast": [
                 "aixcalibuha.sensitivity_analysis.fast"
@@ -2273,12 +2284,12 @@
                 "aixcalibuha.sensitivity_analysis"
             ],
             "SALib.sample.sobol": [
-                "aixcalibuha.sensitivity_analysis.sobol",
-                "aixcalibuha.sensitivity_analysis.pawn"
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.sensitivity_analysis.sobol"
             ],
             "SALib.sample.morris": [
-                "aixcalibuha.sensitivity_analysis.morris",
-                "aixcalibuha.sensitivity_analysis.pawn"
+                "aixcalibuha.sensitivity_analysis.pawn",
+                "aixcalibuha.sensitivity_analysis.morris"
             ],
             "SALib.analyze.pawn": [
                 "aixcalibuha.sensitivity_analysis.pawn"
@@ -2316,10 +2327,10 @@
         "error": 2,
         "fatal": 0,
         "info": 0,
-        "refactor": 45,
-        "statement": 1758,
+        "refactor": 43,
+        "statement": 1759,
         "warning": 11,
-        "global_note": 9.49943117178612,
+        "global_note": 9.511085844229676,
         "nb_duplicated_lines": 0,
         "percent_duplicated_lines": 0.0
     }
diff --git a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.svg b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.svg
index a37d73e4..4c289fbe 100644
--- a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.svg
+++ b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.svg
@@ -1,23 +1,23 @@
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+<svg xmlns="http://www.w3.org/2000/svg" width="80" height="20">
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     </linearGradient>
     <mask id="anybadge_1">
-        <rect width="73" height="20" rx="3" fill="#fff"/>
+        <rect width="80" height="20" rx="3" fill="#fff"/>
     </mask>
     <g mask="url(#anybadge_1)">
         <path fill="#555" d="M0 0h44v20H0z"/>
-        <path fill="#4C1" d="M44 0h29v20H44z"/>
-        <path fill="url(#b)" d="M0 0h73v20H0z"/>
+        <path fill="#4C1" d="M44 0h36v20H44z"/>
+        <path fill="url(#b)" d="M0 0h80v20H0z"/>
     </g>
     <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="11">
         <text x="23.0" y="15" fill="#010101" fill-opacity=".3">pylint</text>
         <text x="22.0" y="14">pylint</text>
     </g>
     <g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="11">
-        <text x="59.5" y="15" fill="#010101" fill-opacity=".3">9.5</text>
-        <text x="58.5" y="14">9.5</text>
+        <text x="63.0" y="15" fill="#010101" fill-opacity=".3">9.51</text>
+        <text x="62.0" y="14">9.51</text>
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diff --git a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.txt b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.txt
index 20bda02d..8b32e01a 100644
--- a/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.txt
+++ b/docs/43-Improvement-of-sensitivity-analysis/pylint/pylint.txt
@@ -112,10 +112,10 @@ aixcalibuha/sensitivity_analysis/plotting.py:414:0: R0914: Too many local variab
 aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:86:0: R0902: Too many instance attributes (12/7) (too-many-instance-attributes)
 aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:372:4: R0914: Too many local variables (35/15) (too-many-locals)
 aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:372:4: R0912: Too many branches (21/12) (too-many-branches)
-aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:372:4: R0915: Too many statements (74/50) (too-many-statements)
-aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:661:4: R0914: Too many local variables (21/15) (too-many-locals)
-aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:751:4: R0913: Too many arguments (6/5) (too-many-arguments)
-aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:863:4: R0913: Too many arguments (6/5) (too-many-arguments)
+aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:372:4: R0915: Too many statements (75/50) (too-many-statements)
+aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:664:4: R0914: Too many local variables (21/15) (too-many-locals)
+aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:754:4: R0913: Too many arguments (6/5) (too-many-arguments)
+aixcalibuha/sensitivity_analysis/sensitivity_analyzer.py:866:4: R0913: Too many arguments (6/5) (too-many-arguments)
 ************* Module aixcalibuha.sensitivity_analysis.fast
 aixcalibuha/sensitivity_analysis/fast.py:32:8: C0103: Attribute name "M" doesn't conform to snake_case naming style (invalid-name)
 ************* Module aixcalibuha.sensitivity_analysis.pawn
@@ -143,20 +143,18 @@ aixcalibuha/calibration/multi_class_calibrator.py:94:4: R0914: Too many local va
 aixcalibuha/calibration/multi_class_calibrator.py:94:4: R0912: Too many branches (14/12) (too-many-branches)
 aixcalibuha/calibration/multi_class_calibrator.py:198:8: R1705: Unnecessary "else" after "return", remove the "else" and de-indent the code inside it (no-else-return)
 aixcalibuha/calibration/multi_class_calibrator.py:261:28: C0209: Formatting a regular string which could be a f-string (consider-using-f-string)
-aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sobol) (cyclic-import)
-aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sobol -> aixcalibuha.sensitivity_analysis.plotting -> aixcalibuha.utils.visualizer) (cyclic-import)
+aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis.plotting -> aixcalibuha.utils.visualizer) (cyclic-import)
+aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.fast) (cyclic-import)
 aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha.calibration -> aixcalibuha.calibration.multi_class_calibrator) (cyclic-import)
-aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sobol) (cyclic-import)
+aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.fast) (cyclic-import)
 aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sensitivity_analyzer -> aixcalibuha.utils) (cyclic-import)
 aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator -> aixcalibuha.utils.visualizer) (cyclic-import)
 aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator -> aixcalibuha.utils) (cyclic-import)
-aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis.plotting -> aixcalibuha.utils.visualizer) (cyclic-import)
-aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.calibrator) (cyclic-import)
-aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.fast) (cyclic-import)
 aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.pawn) (cyclic-import)
 aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.morris) (cyclic-import)
+aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.sensitivity_analysis -> aixcalibuha.sensitivity_analysis.sobol -> aixcalibuha.sensitivity_analysis.plotting -> aixcalibuha.utils.visualizer) (cyclic-import)
 aixcalibuha/calibration/multi_class_calibrator.py:1:0: R0401: Cyclic import (aixcalibuha -> aixcalibuha.calibration -> aixcalibuha.calibration.multi_class_calibrator) (cyclic-import)
 
 -----------------------------------
-Your code has been rated at 9.50/10
+Your code has been rated at 9.51/10