diff options
| author | rossbar <rossbar@berkeley.edu> | 2023-02-26 02:01:16 +0000 |
|---|---|---|
| committer | rossbar <rossbar@berkeley.edu> | 2023-02-26 02:01:16 +0000 |
| commit | cbab7889c75d2dcc729a104114e8c42bcb91fcea (patch) | |
| tree | f230a231dc39338713dbc0bcbe09af234a39f3cb | |
| parent | 9e48ac05060c8f42de0e92d4e7e5b157b1c38978 (diff) | |
| download | networkx-cbab7889c75d2dcc729a104114e8c42bcb91fcea.tar.gz | |
Deploying to gh-pages from @ networkx/networkx@045c46c2ef652b8793bfd36ce31400c693b54438 🚀
124 files changed, 611 insertions, 605 deletions
diff --git a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip Binary files differindex d08dad65..e37f9bad 100644 --- a/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip +++ b/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip diff --git a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip Binary files differindex 1674ae5b..9c03beea 100644 --- a/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip +++ b/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip diff --git a/_downloads/networkx_reference.pdf b/_downloads/networkx_reference.pdf Binary files differindex 157f81de..2036fbec 100644 --- a/_downloads/networkx_reference.pdf +++ b/_downloads/networkx_reference.pdf diff --git a/_images/introduction-7.png b/_images/introduction-7.png Binary files differindex 8f0ac528..a025c927 100644 --- a/_images/introduction-7.png +++ b/_images/introduction-7.png diff --git a/_images/sphx_glr_plot_atlas_001.png b/_images/sphx_glr_plot_atlas_001.png Binary files differindex 099e4305..365d1704 100644 --- a/_images/sphx_glr_plot_atlas_001.png +++ b/_images/sphx_glr_plot_atlas_001.png diff --git a/_images/sphx_glr_plot_atlas_thumb.png b/_images/sphx_glr_plot_atlas_thumb.png Binary files differindex 2f938bfc..4b620953 100644 --- a/_images/sphx_glr_plot_atlas_thumb.png +++ b/_images/sphx_glr_plot_atlas_thumb.png diff --git a/_images/sphx_glr_plot_betweenness_centrality_001.png b/_images/sphx_glr_plot_betweenness_centrality_001.png Binary files differindex 9b6d5618..5e9cf1fc 100644 --- a/_images/sphx_glr_plot_betweenness_centrality_001.png +++ b/_images/sphx_glr_plot_betweenness_centrality_001.png diff --git a/_images/sphx_glr_plot_betweenness_centrality_thumb.png b/_images/sphx_glr_plot_betweenness_centrality_thumb.png Binary files differindex 2b4d4e3c..33f259ff 100644 --- a/_images/sphx_glr_plot_betweenness_centrality_thumb.png +++ b/_images/sphx_glr_plot_betweenness_centrality_thumb.png diff --git a/_images/sphx_glr_plot_chess_masters_001.png b/_images/sphx_glr_plot_chess_masters_001.png Binary files differindex 5d40cd57..60ca81af 100644 --- a/_images/sphx_glr_plot_chess_masters_001.png +++ b/_images/sphx_glr_plot_chess_masters_001.png diff --git a/_images/sphx_glr_plot_dedensification_001.png b/_images/sphx_glr_plot_dedensification_001.png Binary files differindex ece86192..c76986ba 100644 --- a/_images/sphx_glr_plot_dedensification_001.png +++ b/_images/sphx_glr_plot_dedensification_001.png diff --git a/_images/sphx_glr_plot_dedensification_thumb.png b/_images/sphx_glr_plot_dedensification_thumb.png Binary files differindex 5d9f2b58..2f8d1c75 100644 --- a/_images/sphx_glr_plot_dedensification_thumb.png +++ b/_images/sphx_glr_plot_dedensification_thumb.png diff --git a/_images/sphx_glr_plot_igraph_002.png b/_images/sphx_glr_plot_igraph_002.png Binary files differindex a37eb516..87b598d8 100644 --- a/_images/sphx_glr_plot_igraph_002.png +++ b/_images/sphx_glr_plot_igraph_002.png diff --git a/_images/sphx_glr_plot_parallel_betweenness_001.png b/_images/sphx_glr_plot_parallel_betweenness_001.png Binary files differindex 0702e83b..bfbd700d 100644 --- a/_images/sphx_glr_plot_parallel_betweenness_001.png +++ b/_images/sphx_glr_plot_parallel_betweenness_001.png diff --git a/_images/sphx_glr_plot_parallel_betweenness_thumb.png b/_images/sphx_glr_plot_parallel_betweenness_thumb.png Binary files differindex 4819bfff..a152932a 100644 --- a/_images/sphx_glr_plot_parallel_betweenness_thumb.png +++ b/_images/sphx_glr_plot_parallel_betweenness_thumb.png diff --git a/_images/sphx_glr_plot_snap_001.png b/_images/sphx_glr_plot_snap_001.png Binary files differindex 4e0c3e54..9e2e7e42 100644 --- a/_images/sphx_glr_plot_snap_001.png +++ b/_images/sphx_glr_plot_snap_001.png diff --git a/_images/sphx_glr_plot_snap_thumb.png b/_images/sphx_glr_plot_snap_thumb.png Binary files differindex 8bd8835d..d9d8d9c1 100644 --- a/_images/sphx_glr_plot_snap_thumb.png +++ b/_images/sphx_glr_plot_snap_thumb.png diff --git a/_images/sphx_glr_plot_spectral_grid_001.png b/_images/sphx_glr_plot_spectral_grid_001.png Binary files differindex bac24384..f28c7507 100644 --- a/_images/sphx_glr_plot_spectral_grid_001.png +++ b/_images/sphx_glr_plot_spectral_grid_001.png diff --git a/_images/sphx_glr_plot_spectral_grid_thumb.png b/_images/sphx_glr_plot_spectral_grid_thumb.png Binary files differindex aa3f8438..9dd185e6 100644 --- a/_images/sphx_glr_plot_spectral_grid_thumb.png +++ b/_images/sphx_glr_plot_spectral_grid_thumb.png diff --git a/_images/sphx_glr_plot_subgraphs_001.png b/_images/sphx_glr_plot_subgraphs_001.png Binary files differindex 5aed2b62..b7d8bc50 100644 --- a/_images/sphx_glr_plot_subgraphs_001.png +++ b/_images/sphx_glr_plot_subgraphs_001.png diff --git a/_images/sphx_glr_plot_subgraphs_002.png b/_images/sphx_glr_plot_subgraphs_002.png Binary files differindex c287602e..5619fbaf 100644 --- a/_images/sphx_glr_plot_subgraphs_002.png +++ b/_images/sphx_glr_plot_subgraphs_002.png diff --git a/_images/sphx_glr_plot_subgraphs_003.png b/_images/sphx_glr_plot_subgraphs_003.png Binary files differindex 71531560..95b2aefb 100644 --- a/_images/sphx_glr_plot_subgraphs_003.png +++ b/_images/sphx_glr_plot_subgraphs_003.png diff --git a/_images/sphx_glr_plot_subgraphs_004.png b/_images/sphx_glr_plot_subgraphs_004.png Binary files differindex 8a4f0eaf..124a2b94 100644 --- a/_images/sphx_glr_plot_subgraphs_004.png +++ b/_images/sphx_glr_plot_subgraphs_004.png diff --git a/_images/sphx_glr_plot_subgraphs_005.png b/_images/sphx_glr_plot_subgraphs_005.png Binary files differindex 7e6ad2fc..6410ea03 100644 --- a/_images/sphx_glr_plot_subgraphs_005.png +++ b/_images/sphx_glr_plot_subgraphs_005.png diff --git a/_images/sphx_glr_plot_subgraphs_006.png b/_images/sphx_glr_plot_subgraphs_006.png Binary files differindex 59972799..73913613 100644 --- a/_images/sphx_glr_plot_subgraphs_006.png +++ b/_images/sphx_glr_plot_subgraphs_006.png diff --git a/_images/sphx_glr_plot_subgraphs_007.png b/_images/sphx_glr_plot_subgraphs_007.png Binary files differindex 99f6b2e9..46cc84f9 100644 --- a/_images/sphx_glr_plot_subgraphs_007.png +++ b/_images/sphx_glr_plot_subgraphs_007.png diff --git a/_images/sphx_glr_plot_subgraphs_thumb.png b/_images/sphx_glr_plot_subgraphs_thumb.png Binary files differindex 486863c4..fab6469d 100644 --- a/_images/sphx_glr_plot_subgraphs_thumb.png +++ b/_images/sphx_glr_plot_subgraphs_thumb.png diff --git a/_images/sphx_glr_plot_words_001.png b/_images/sphx_glr_plot_words_001.png Binary files differindex d2d1bc3d..01ff1ffb 100644 --- a/_images/sphx_glr_plot_words_001.png +++ b/_images/sphx_glr_plot_words_001.png diff --git a/_images/sphx_glr_plot_words_thumb.png b/_images/sphx_glr_plot_words_thumb.png Binary files differindex d57bbf47..004ac952 100644 --- a/_images/sphx_glr_plot_words_thumb.png +++ b/_images/sphx_glr_plot_words_thumb.png diff --git a/_images/tutorial-35.png b/_images/tutorial-35.png Binary files differindex a30f20e3..91e68ac5 100644 --- a/_images/tutorial-35.png +++ b/_images/tutorial-35.png diff --git a/_modules/networkx/algorithms/centrality/betweenness_subset.html b/_modules/networkx/algorithms/centrality/betweenness_subset.html index 3673631d..5636dae6 100644 --- a/_modules/networkx/algorithms/centrality/betweenness_subset.html +++ b/_modules/networkx/algorithms/centrality/betweenness_subset.html @@ -474,7 +474,9 @@ <h1>Source code for networkx.algorithms.centrality.betweenness_subset</h1><div class="highlight"><pre> <span></span><span class="sd">"""Betweenness centrality measures for subsets of nodes."""</span> -<span class="kn">from</span> <span class="nn">networkx.algorithms.centrality.betweenness</span> <span class="kn">import</span> <span class="n">_add_edge_keys</span> +<span class="kn">from</span> <span class="nn">networkx.algorithms.centrality.betweenness</span> <span class="kn">import</span> <span class="p">(</span> + <span class="n">_add_edge_keys</span><span class="p">,</span> +<span class="p">)</span> <span class="kn">from</span> <span class="nn">networkx.algorithms.centrality.betweenness</span> <span class="kn">import</span> <span class="p">(</span> <span class="n">_single_source_dijkstra_path_basic</span> <span class="k">as</span> <span class="n">dijkstra</span><span class="p">,</span> <span class="p">)</span> diff --git a/auto_examples/3d_drawing/plot_basic.html b/auto_examples/3d_drawing/plot_basic.html index a2e64c82..eecc2b55 100644 --- a/auto_examples/3d_drawing/plot_basic.html +++ b/auto_examples/3d_drawing/plot_basic.html @@ -552,7 +552,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.117 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.077 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-3d-drawing-plot-basic-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/79beefddd68fa45123e60db5559f52aa/plot_basic.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_basic.py</span></code></a></p> diff --git a/auto_examples/3d_drawing/sg_execution_times.html b/auto_examples/3d_drawing/sg_execution_times.html index ba2607e5..454205b8 100644 --- a/auto_examples/3d_drawing/sg_execution_times.html +++ b/auto_examples/3d_drawing/sg_execution_times.html @@ -475,11 +475,11 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-3d-drawing-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:00.117</strong> total execution time for <strong>auto_examples_3d_drawing</strong> files:</p> +<p><strong>00:00.077</strong> total execution time for <strong>auto_examples_3d_drawing</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_basic.html#sphx-glr-auto-examples-3d-drawing-plot-basic-py"><span class="std std-ref">Basic matplotlib</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_basic.py</span></code>)</p></td> -<td><p>00:00.117</p></td> +<td><p>00:00.077</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="mayavi2_spring.html#sphx-glr-auto-examples-3d-drawing-mayavi2-spring-py"><span class="std std-ref">Mayavi2</span></a> (<code class="docutils literal notranslate"><span class="pre">mayavi2_spring.py</span></code>)</p></td> diff --git a/auto_examples/algorithms/plot_beam_search.html b/auto_examples/algorithms/plot_beam_search.html index b1bee072..1ea76f21 100644 --- a/auto_examples/algorithms/plot_beam_search.html +++ b/auto_examples/algorithms/plot_beam_search.html @@ -625,7 +625,7 @@ the progressive widening search in order to find a node of high centrality.</p> <img src="../../_images/sphx_glr_plot_beam_search_001.png" srcset="../../_images/sphx_glr_plot_beam_search_001.png" alt="plot beam search" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>found node 73 with centrality 0.12598283530728402 </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.289 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.214 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-beam-search-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/ccbccb63fd600240faf98d07876c0e92/plot_beam_search.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_beam_search.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_betweenness_centrality.html b/auto_examples/algorithms/plot_betweenness_centrality.html index f9301fad..d4b97cea 100644 --- a/auto_examples/algorithms/plot_betweenness_centrality.html +++ b/auto_examples/algorithms/plot_betweenness_centrality.html @@ -595,7 +595,7 @@ using WormNet v.3-GS.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 5.657 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 3.453 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-betweenness-centrality-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/b3018a1aab7bffbd1426574de5a8c65a/plot_betweenness_centrality.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_betweenness_centrality.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_blockmodel.html b/auto_examples/algorithms/plot_blockmodel.html index 8c86ee38..03c82961 100644 --- a/auto_examples/algorithms/plot_blockmodel.html +++ b/auto_examples/algorithms/plot_blockmodel.html @@ -592,7 +592,7 @@ used is the Hartford, CT drug users network:</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.551 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.369 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-blockmodel-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/efbe368eaa1e457c6c03d3f5a636063a/plot_blockmodel.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_blockmodel.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_circuits.html b/auto_examples/algorithms/plot_circuits.html index 92bd7fe4..e1510c23 100644 --- a/auto_examples/algorithms/plot_circuits.html +++ b/auto_examples/algorithms/plot_circuits.html @@ -616,7 +616,7 @@ fourth layer.</p> <img src="../../_images/sphx_glr_plot_circuits_001.png" srcset="../../_images/sphx_glr_plot_circuits_001.png" alt="((x ∨ y) ∧ (y ∨ ¬(z)))" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>((x ∨ y) ∧ (y ∨ ¬(z))) </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.165 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.112 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-circuits-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/bd2ce07c5ba253eb7b45764c94237a4c/plot_circuits.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_circuits.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_davis_club.html b/auto_examples/algorithms/plot_davis_club.html index f43030e3..a03efed6 100644 --- a/auto_examples/algorithms/plot_davis_club.html +++ b/auto_examples/algorithms/plot_davis_club.html @@ -652,7 +652,7 @@ The graph is bipartite (clubs, women).</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.108 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.077 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-davis-club-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/6a1e333663010969e61d07b33c7845f0/plot_davis_club.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_davis_club.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_dedensification.html b/auto_examples/algorithms/plot_dedensification.html index a4b3d6d8..427879fe 100644 --- a/auto_examples/algorithms/plot_dedensification.html +++ b/auto_examples/algorithms/plot_dedensification.html @@ -606,7 +606,7 @@ would result in fewer edges in the compressed graph.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.443 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.274 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-dedensification-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/868e28431bab2565b22bfbab847e1153/plot_dedensification.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_dedensification.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_iterated_dynamical_systems.html b/auto_examples/algorithms/plot_iterated_dynamical_systems.html index bfb587c4..3f7d0177 100644 --- a/auto_examples/algorithms/plot_iterated_dynamical_systems.html +++ b/auto_examples/algorithms/plot_iterated_dynamical_systems.html @@ -712,7 +712,7 @@ fixed points are [] <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"fixed points are </span><span class="si">{</span><span class="n">fixed_points</span><span class="p">(</span><span class="n">G</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.137 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.095 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-iterated-dynamical-systems-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/d947686c24b50c278c1228ff766cda27/plot_iterated_dynamical_systems.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_iterated_dynamical_systems.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_krackhardt_centrality.html b/auto_examples/algorithms/plot_krackhardt_centrality.html index fc57b17e..720a255f 100644 --- a/auto_examples/algorithms/plot_krackhardt_centrality.html +++ b/auto_examples/algorithms/plot_krackhardt_centrality.html @@ -582,7 +582,7 @@ Closeness centrality <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.094 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.066 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-krackhardt-centrality-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/e77acafa90a347f4353549d3bffbb72c/plot_krackhardt_centrality.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_krackhardt_centrality.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_maximum_independent_set.html b/auto_examples/algorithms/plot_maximum_independent_set.html index a3ff5cec..910631b4 100644 --- a/auto_examples/algorithms/plot_maximum_independent_set.html +++ b/auto_examples/algorithms/plot_maximum_independent_set.html @@ -563,7 +563,7 @@ possible size for a given graph.</p> <span class="p">)</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.103 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.071 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-maximum-independent-set-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/8a508c78cefb7056d5a2d2af5a610ed4/plot_maximum_independent_set.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_maximum_independent_set.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_parallel_betweenness.html b/auto_examples/algorithms/plot_parallel_betweenness.html index a401601c..4dde53ac 100644 --- a/auto_examples/algorithms/plot_parallel_betweenness.html +++ b/auto_examples/algorithms/plot_parallel_betweenness.html @@ -530,29 +530,29 @@ faster. This is a limitation of our CI/CD pipeline running on a single core.</p> <img src="../../_images/sphx_glr_plot_parallel_betweenness_001.png" srcset="../../_images/sphx_glr_plot_parallel_betweenness_001.png" alt="plot parallel betweenness" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Computing betweenness centrality for: Graph with 1000 nodes and 2991 edges Parallel version - Time: 2.5743 seconds - Betweenness centrality for node 0: 0.09629 + Time: 1.8475 seconds + Betweenness centrality for node 0: 0.24859 Non-Parallel version - Time: 4.0793 seconds - Betweenness centrality for node 0: 0.09629 + Time: 2.9750 seconds + Betweenness centrality for node 0: 0.24859 Computing betweenness centrality for: -Graph with 1000 nodes and 4956 edges +Graph with 1000 nodes and 4962 edges Parallel version - Time: 3.1428 seconds - Betweenness centrality for node 0: 0.00350 + Time: 2.2561 seconds + Betweenness centrality for node 0: 0.00112 Non-Parallel version - Time: 5.4676 seconds - Betweenness centrality for node 0: 0.00350 + Time: 3.9241 seconds + Betweenness centrality for node 0: 0.00112 Computing betweenness centrality for: Graph with 1000 nodes and 2000 edges Parallel version - Time: 2.0898 seconds - Betweenness centrality for node 0: 0.00332 + Time: 1.5178 seconds + Betweenness centrality for node 0: 0.01252 Non-Parallel version - Time: 3.6499 seconds - Betweenness centrality for node 0: 0.00332 + Time: 2.6976 seconds + Betweenness centrality for node 0: 0.01252 </pre></div> </div> <div class="line-block"> @@ -624,7 +624,7 @@ Graph with 1000 nodes and 2000 edges <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 29.690 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 20.577 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-parallel-betweenness-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/8a9ce246f32a6cf6abd470292c7ffa6a/plot_parallel_betweenness.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_parallel_betweenness.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_rcm.html b/auto_examples/algorithms/plot_rcm.html index 9af034c1..695af02f 100644 --- a/auto_examples/algorithms/plot_rcm.html +++ b/auto_examples/algorithms/plot_rcm.html @@ -628,7 +628,7 @@ bandwidth: 7 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 1.674 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 1.183 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-rcm-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/544d21367fbc1520a180d8891369bb49/plot_rcm.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_rcm.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_snap.html b/auto_examples/algorithms/plot_snap.html index af13dff1..e47cc919 100644 --- a/auto_examples/algorithms/plot_snap.html +++ b/auto_examples/algorithms/plot_snap.html @@ -623,7 +623,7 @@ graph.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.321 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.207 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-snap-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/0a756ab7ea4b899fa151e327a4dce8d2/plot_snap.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_snap.py</span></code></a></p> diff --git a/auto_examples/algorithms/plot_subgraphs.html b/auto_examples/algorithms/plot_subgraphs.html index 7fdf0ac6..b8c64d0b 100644 --- a/auto_examples/algorithms/plot_subgraphs.html +++ b/auto_examples/algorithms/plot_subgraphs.html @@ -691,7 +691,7 @@ of subgraphs that contain only entirely <code class="xref py py-obj docutils lit <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<img src="../../_images/sphx_glr_plot_subgraphs_007.png" srcset="../../_images/sphx_glr_plot_subgraphs_007.png" alt="The reconstructed graph." class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 1.015 seconds)</p> +<img src="../../_images/sphx_glr_plot_subgraphs_007.png" srcset="../../_images/sphx_glr_plot_subgraphs_007.png" alt="The reconstructed graph." class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.700 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-algorithms-plot-subgraphs-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/7c14530887a80b15e4b4f3d68b23d114/plot_subgraphs.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_subgraphs.py</span></code></a></p> diff --git a/auto_examples/algorithms/sg_execution_times.html b/auto_examples/algorithms/sg_execution_times.html index dd1fe1ad..18ebab3a 100644 --- a/auto_examples/algorithms/sg_execution_times.html +++ b/auto_examples/algorithms/sg_execution_times.html @@ -475,59 +475,59 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-algorithms-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:40.248</strong> total execution time for <strong>auto_examples_algorithms</strong> files:</p> +<p><strong>00:27.401</strong> total execution time for <strong>auto_examples_algorithms</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_parallel_betweenness.html#sphx-glr-auto-examples-algorithms-plot-parallel-betweenness-py"><span class="std std-ref">Parallel Betweenness</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_parallel_betweenness.py</span></code>)</p></td> -<td><p>00:29.690</p></td> +<td><p>00:20.577</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_betweenness_centrality.html#sphx-glr-auto-examples-algorithms-plot-betweenness-centrality-py"><span class="std std-ref">Betweenness Centrality</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_betweenness_centrality.py</span></code>)</p></td> -<td><p>00:05.657</p></td> +<td><p>00:03.453</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_rcm.html#sphx-glr-auto-examples-algorithms-plot-rcm-py"><span class="std std-ref">Reverse Cuthill–McKee</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_rcm.py</span></code>)</p></td> -<td><p>00:01.674</p></td> +<td><p>00:01.183</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_subgraphs.html#sphx-glr-auto-examples-algorithms-plot-subgraphs-py"><span class="std std-ref">Subgraphs</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_subgraphs.py</span></code>)</p></td> -<td><p>00:01.015</p></td> +<td><p>00:00.700</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_blockmodel.html#sphx-glr-auto-examples-algorithms-plot-blockmodel-py"><span class="std std-ref">Blockmodel</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_blockmodel.py</span></code>)</p></td> -<td><p>00:00.551</p></td> +<td><p>00:00.369</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_dedensification.html#sphx-glr-auto-examples-algorithms-plot-dedensification-py"><span class="std std-ref">Dedensification</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_dedensification.py</span></code>)</p></td> -<td><p>00:00.443</p></td> +<td><p>00:00.274</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_snap.html#sphx-glr-auto-examples-algorithms-plot-snap-py"><span class="std std-ref">SNAP Graph Summary</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_snap.py</span></code>)</p></td> -<td><p>00:00.321</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_beam_search.html#sphx-glr-auto-examples-algorithms-plot-beam-search-py"><span class="std std-ref">Beam Search</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_beam_search.py</span></code>)</p></td> +<td><p>00:00.214</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_beam_search.html#sphx-glr-auto-examples-algorithms-plot-beam-search-py"><span class="std std-ref">Beam Search</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_beam_search.py</span></code>)</p></td> -<td><p>00:00.289</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_snap.html#sphx-glr-auto-examples-algorithms-plot-snap-py"><span class="std std-ref">SNAP Graph Summary</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_snap.py</span></code>)</p></td> +<td><p>00:00.207</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_circuits.html#sphx-glr-auto-examples-algorithms-plot-circuits-py"><span class="std std-ref">Circuits</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_circuits.py</span></code>)</p></td> -<td><p>00:00.165</p></td> +<td><p>00:00.112</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_iterated_dynamical_systems.html#sphx-glr-auto-examples-algorithms-plot-iterated-dynamical-systems-py"><span class="std std-ref">Iterated Dynamical Systems</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_iterated_dynamical_systems.py</span></code>)</p></td> -<td><p>00:00.137</p></td> +<td><p>00:00.095</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_davis_club.html#sphx-glr-auto-examples-algorithms-plot-davis-club-py"><span class="std std-ref">Davis Club</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_davis_club.py</span></code>)</p></td> -<td><p>00:00.108</p></td> +<td><p>00:00.077</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_maximum_independent_set.html#sphx-glr-auto-examples-algorithms-plot-maximum-independent-set-py"><span class="std std-ref">Maximum Independent Set</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_maximum_independent_set.py</span></code>)</p></td> -<td><p>00:00.103</p></td> +<td><p>00:00.071</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_krackhardt_centrality.html#sphx-glr-auto-examples-algorithms-plot-krackhardt-centrality-py"><span class="std std-ref">Krackhardt Centrality</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_krackhardt_centrality.py</span></code>)</p></td> -<td><p>00:00.094</p></td> +<td><p>00:00.066</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/auto_examples/basic/plot_properties.html b/auto_examples/basic/plot_properties.html index 7786a6a6..bb43a0db 100644 --- a/auto_examples/basic/plot_properties.html +++ b/auto_examples/basic/plot_properties.html @@ -586,7 +586,7 @@ density: 0.26666666666666666 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.133 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.093 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-basic-plot-properties-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/40632926e1e0842cea9103529e4bea12/plot_properties.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_properties.py</span></code></a></p> diff --git a/auto_examples/basic/plot_read_write.html b/auto_examples/basic/plot_read_write.html index d5f82414..e7cb0890 100644 --- a/auto_examples/basic/plot_read_write.html +++ b/auto_examples/basic/plot_read_write.html @@ -557,7 +557,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.107 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.067 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-basic-plot-read-write-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/63b2264e53e5d28aeb43b6aa768515b9/plot_read_write.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_read_write.py</span></code></a></p> diff --git a/auto_examples/basic/plot_simple_graph.html b/auto_examples/basic/plot_simple_graph.html index a1473b04..98ae7c79 100644 --- a/auto_examples/basic/plot_simple_graph.html +++ b/auto_examples/basic/plot_simple_graph.html @@ -562,7 +562,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<img src="../../_images/sphx_glr_plot_simple_graph_002.png" srcset="../../_images/sphx_glr_plot_simple_graph_002.png" alt="plot simple graph" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.646 seconds)</p> +<img src="../../_images/sphx_glr_plot_simple_graph_002.png" srcset="../../_images/sphx_glr_plot_simple_graph_002.png" alt="plot simple graph" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.399 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-basic-plot-simple-graph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/0f222beedce48fe624efff9ff2fdc89f/plot_simple_graph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_simple_graph.py</span></code></a></p> diff --git a/auto_examples/basic/sg_execution_times.html b/auto_examples/basic/sg_execution_times.html index 5b64f994..0d5d32ca 100644 --- a/auto_examples/basic/sg_execution_times.html +++ b/auto_examples/basic/sg_execution_times.html @@ -475,19 +475,19 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-basic-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:00.886</strong> total execution time for <strong>auto_examples_basic</strong> files:</p> +<p><strong>00:00.558</strong> total execution time for <strong>auto_examples_basic</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_simple_graph.html#sphx-glr-auto-examples-basic-plot-simple-graph-py"><span class="std std-ref">Simple graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_simple_graph.py</span></code>)</p></td> -<td><p>00:00.646</p></td> +<td><p>00:00.399</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_properties.html#sphx-glr-auto-examples-basic-plot-properties-py"><span class="std std-ref">Properties</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_properties.py</span></code>)</p></td> -<td><p>00:00.133</p></td> +<td><p>00:00.093</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_read_write.html#sphx-glr-auto-examples-basic-plot-read-write-py"><span class="std std-ref">Read and write graphs.</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_read_write.py</span></code>)</p></td> -<td><p>00:00.107</p></td> +<td><p>00:00.067</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/auto_examples/drawing/plot_center_node.html b/auto_examples/drawing/plot_center_node.html index ae7795a7..5eadd8ee 100644 --- a/auto_examples/drawing/plot_center_node.html +++ b/auto_examples/drawing/plot_center_node.html @@ -542,7 +542,7 @@ to download the full example code</p> <span class="n">nx</span><span class="o">.</span><span class="n">draw</span><span class="p">(</span><span class="n">G</span><span class="p">,</span> <a href="https://docs.python.org/3/library/stdtypes.html#dict" title="builtins.dict" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">pos</span></a><span class="p">,</span> <span class="n">with_labels</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.103 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.072 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-center-node-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/8561539ed0b99621dbdbe53646ac5075/plot_center_node.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_center_node.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_chess_masters.html b/auto_examples/drawing/plot_chess_masters.html index 9392e3c6..cbfd39e0 100644 --- a/auto_examples/drawing/plot_chess_masters.html +++ b/auto_examples/drawing/plot_chess_masters.html @@ -714,7 +714,7 @@ findfont: Font family 'Helvetica' not found. <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.552 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.399 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-chess-masters-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/388158421a67216f605c1bbf9aa310bf/plot_chess_masters.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_chess_masters.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_custom_node_icons.html b/auto_examples/drawing/plot_custom_node_icons.html index 6eb4d389..596e4850 100644 --- a/auto_examples/drawing/plot_custom_node_icons.html +++ b/auto_examples/drawing/plot_custom_node_icons.html @@ -597,7 +597,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.492 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.328 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-custom-node-icons-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/b580b9776494e714c1fb1880f03524a8/plot_custom_node_icons.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_custom_node_icons.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_degree.html b/auto_examples/drawing/plot_degree.html index cec610e9..5768721e 100644 --- a/auto_examples/drawing/plot_degree.html +++ b/auto_examples/drawing/plot_degree.html @@ -573,7 +573,7 @@ each node is determined, and a figure is generated showing three things: <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.442 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.295 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-degree-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/70eaef0d99343cf8d3d6e70c803ad5a8/plot_degree.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_degree.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_directed.html b/auto_examples/drawing/plot_directed.html index 49588795..8e9c29c3 100644 --- a/auto_examples/drawing/plot_directed.html +++ b/auto_examples/drawing/plot_directed.html @@ -568,7 +568,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.348 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.221 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-directed-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/6c2f9c3544cb695b31867eecc0f7fb1e/plot_directed.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_directed.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_edge_colormap.html b/auto_examples/drawing/plot_edge_colormap.html index f5d9892c..285dceb7 100644 --- a/auto_examples/drawing/plot_edge_colormap.html +++ b/auto_examples/drawing/plot_edge_colormap.html @@ -546,7 +546,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.099 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.067 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-edge-colormap-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/7ea4dc8cf44604668540ed81d6abebda/plot_edge_colormap.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_edge_colormap.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_ego_graph.html b/auto_examples/drawing/plot_ego_graph.html index 862efbc8..9f087915 100644 --- a/auto_examples/drawing/plot_ego_graph.html +++ b/auto_examples/drawing/plot_ego_graph.html @@ -558,7 +558,7 @@ the largest hub in a Barabási-Albert network.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.146 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.101 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-ego-graph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/773fa56bdb128b8bd2a4f4a0e4dd38aa/plot_ego_graph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_ego_graph.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_eigenvalues.html b/auto_examples/drawing/plot_eigenvalues.html index 2c976c19..a8c1c272 100644 --- a/auto_examples/drawing/plot_eigenvalues.html +++ b/auto_examples/drawing/plot_eigenvalues.html @@ -529,8 +529,8 @@ to download the full example code</p> <section class="sphx-glr-example-title" id="eigenvalues"> <span id="sphx-glr-auto-examples-drawing-plot-eigenvalues-py"></span><h1>Eigenvalues<a class="headerlink" href="#eigenvalues" title="Permalink to this heading">#</a></h1> <p>Create an G{n,m} random graph and compute the eigenvalues.</p> -<img src="../../_images/sphx_glr_plot_eigenvalues_001.png" srcset="../../_images/sphx_glr_plot_eigenvalues_001.png" alt="plot eigenvalues" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Largest eigenvalue: 1.5924617911775805 -Smallest eigenvalue: 4.0699282104742547e-16 +<img src="../../_images/sphx_glr_plot_eigenvalues_001.png" srcset="../../_images/sphx_glr_plot_eigenvalues_001.png" alt="plot eigenvalues" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Largest eigenvalue: 1.592461791177574 +Smallest eigenvalue: -2.5363890312656235e-16 </pre></div> </div> <div class="line-block"> @@ -553,7 +553,7 @@ Smallest eigenvalue: 4.0699282104742547e-16 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 1.004 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.626 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-eigenvalues-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/a8660a7bb6b65b5a644025485c973cb9/plot_eigenvalues.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_eigenvalues.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_four_grids.html b/auto_examples/drawing/plot_four_grids.html index 1d6bfc8d..cc86cd30 100644 --- a/auto_examples/drawing/plot_four_grids.html +++ b/auto_examples/drawing/plot_four_grids.html @@ -574,7 +574,7 @@ customize the visualization of a simple Graph comprising a 4x4 grid.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.568 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.350 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-four-grids-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/4136c066ab1d073cf527e9dc02bfec77/plot_four_grids.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_four_grids.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_house_with_colors.html b/auto_examples/drawing/plot_house_with_colors.html index 307b3593..218fb181 100644 --- a/auto_examples/drawing/plot_house_with_colors.html +++ b/auto_examples/drawing/plot_house_with_colors.html @@ -550,7 +550,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.149 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.089 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-house-with-colors-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/98363b3c011ceaffb10684a5ba5de25b/plot_house_with_colors.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_house_with_colors.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_knuth_miles.html b/auto_examples/drawing/plot_knuth_miles.html index 07c45e9f..d52eda4b 100644 --- a/auto_examples/drawing/plot_knuth_miles.html +++ b/auto_examples/drawing/plot_knuth_miles.html @@ -672,7 +672,7 @@ Graph with 128 nodes and 8128 edges <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.150 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.105 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-knuth-miles-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/e921c603ea1764485dc9acff178a2f05/plot_knuth_miles.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_knuth_miles.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_labels_and_colors.html b/auto_examples/drawing/plot_labels_and_colors.html index d2d97937..2157143b 100644 --- a/auto_examples/drawing/plot_labels_and_colors.html +++ b/auto_examples/drawing/plot_labels_and_colors.html @@ -578,7 +578,7 @@ components of a graph.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.290 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.198 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-labels-and-colors-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/cff4f78bc18685caa50507ced57e7c6f/plot_labels_and_colors.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_labels_and_colors.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_multipartite_graph.html b/auto_examples/drawing/plot_multipartite_graph.html index 2ce0cb78..0e48d57d 100644 --- a/auto_examples/drawing/plot_multipartite_graph.html +++ b/auto_examples/drawing/plot_multipartite_graph.html @@ -565,7 +565,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.113 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.082 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-multipartite-graph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/6cb4bf689cf53c849bce13cbab13eaec/plot_multipartite_graph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_multipartite_graph.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_node_colormap.html b/auto_examples/drawing/plot_node_colormap.html index 3f9c88ac..f5d4d560 100644 --- a/auto_examples/drawing/plot_node_colormap.html +++ b/auto_examples/drawing/plot_node_colormap.html @@ -538,7 +538,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.079 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.057 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-node-colormap-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/19db6fb1da12c9b9c0afca26691448c8/plot_node_colormap.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_node_colormap.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_rainbow_coloring.html b/auto_examples/drawing/plot_rainbow_coloring.html index 4c8b7d15..d798a721 100644 --- a/auto_examples/drawing/plot_rainbow_coloring.html +++ b/auto_examples/drawing/plot_rainbow_coloring.html @@ -590,7 +590,7 @@ helpful in determining how to place the tree copies.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.186 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.135 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-rainbow-coloring-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/b64fd85d6e5ba509e65b2cb30a8274ed/plot_rainbow_coloring.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_rainbow_coloring.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_random_geometric_graph.html b/auto_examples/drawing/plot_random_geometric_graph.html index 2e96c192..eb3496a7 100644 --- a/auto_examples/drawing/plot_random_geometric_graph.html +++ b/auto_examples/drawing/plot_random_geometric_graph.html @@ -567,7 +567,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.141 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.111 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-random-geometric-graph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/f8f8cacecc651443537b92fc341fba08/plot_random_geometric_graph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_random_geometric_graph.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_sampson.html b/auto_examples/drawing/plot_sampson.html index 658d39e4..43eb1279 100644 --- a/auto_examples/drawing/plot_sampson.html +++ b/auto_examples/drawing/plot_sampson.html @@ -569,7 +569,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.429 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.281 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-sampson-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/838bbb120e1c43a61657821eddf29c25/plot_sampson.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_sampson.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_selfloops.html b/auto_examples/drawing/plot_selfloops.html index 02444987..e7a7f05c 100644 --- a/auto_examples/drawing/plot_selfloops.html +++ b/auto_examples/drawing/plot_selfloops.html @@ -552,7 +552,7 @@ This example shows how to draw self-loops with <code class="xref py py-obj docut <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.127 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.085 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-selfloops-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/b6f62567cb843f23abdd4b7268921c0b/plot_selfloops.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_selfloops.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_simple_path.html b/auto_examples/drawing/plot_simple_path.html index 48f9cb41..036a63ea 100644 --- a/auto_examples/drawing/plot_simple_path.html +++ b/auto_examples/drawing/plot_simple_path.html @@ -538,7 +538,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.091 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.063 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-simple-path-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/2c281c05b18d8d3cf43a312fc3d67a3b/plot_simple_path.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_simple_path.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_spectral_grid.html b/auto_examples/drawing/plot_spectral_grid.html index 9cf1af24..d2b15533 100644 --- a/auto_examples/drawing/plot_spectral_grid.html +++ b/auto_examples/drawing/plot_spectral_grid.html @@ -580,7 +580,7 @@ As you remove internal nodes, this effect increases.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.408 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.259 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-spectral-grid-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/5479a9bd23bf1ace2ef03c13b4ac9d7f/plot_spectral_grid.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_spectral_grid.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_tsp.html b/auto_examples/drawing/plot_tsp.html index 346a5bb7..7b7e7d49 100644 --- a/auto_examples/drawing/plot_tsp.html +++ b/auto_examples/drawing/plot_tsp.html @@ -580,7 +580,7 @@ that the traveler has to follow in order to minimize the total cost.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.140 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.094 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-tsp-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/cc9848c15dd2eeae1872b955a8f34d15/plot_tsp.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_tsp.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_unix_email.html b/auto_examples/drawing/plot_unix_email.html index 4b8eab3b..df4e81b4 100644 --- a/auto_examples/drawing/plot_unix_email.html +++ b/auto_examples/drawing/plot_unix_email.html @@ -595,7 +595,7 @@ From: ted@com To: alice@edu Subject: get together for lunch to discuss Networks? <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.199 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.208 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-unix-email-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/213697eef7dec7ebca6ee2e064eb9c24/plot_unix_email.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_unix_email.py</span></code></a></p> diff --git a/auto_examples/drawing/plot_weighted_graph.html b/auto_examples/drawing/plot_weighted_graph.html index af8bdce8..1eeb600d 100644 --- a/auto_examples/drawing/plot_weighted_graph.html +++ b/auto_examples/drawing/plot_weighted_graph.html @@ -568,7 +568,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.133 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.090 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-drawing-plot-weighted-graph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/32d3b6ab4dec83957a1981fa91e52e14/plot_weighted_graph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_weighted_graph.py</span></code></a></p> diff --git a/auto_examples/drawing/sg_execution_times.html b/auto_examples/drawing/sg_execution_times.html index 4e876af4..d1a5b22b 100644 --- a/auto_examples/drawing/sg_execution_times.html +++ b/auto_examples/drawing/sg_execution_times.html @@ -475,99 +475,99 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-drawing-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:06.391</strong> total execution time for <strong>auto_examples_drawing</strong> files:</p> +<p><strong>00:04.314</strong> total execution time for <strong>auto_examples_drawing</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_eigenvalues.html#sphx-glr-auto-examples-drawing-plot-eigenvalues-py"><span class="std std-ref">Eigenvalues</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_eigenvalues.py</span></code>)</p></td> -<td><p>00:01.004</p></td> +<td><p>00:00.626</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_four_grids.html#sphx-glr-auto-examples-drawing-plot-four-grids-py"><span class="std std-ref">Four Grids</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_four_grids.py</span></code>)</p></td> -<td><p>00:00.568</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_chess_masters.html#sphx-glr-auto-examples-drawing-plot-chess-masters-py"><span class="std std-ref">Chess Masters</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_chess_masters.py</span></code>)</p></td> +<td><p>00:00.399</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_chess_masters.html#sphx-glr-auto-examples-drawing-plot-chess-masters-py"><span class="std std-ref">Chess Masters</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_chess_masters.py</span></code>)</p></td> -<td><p>00:00.552</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_four_grids.html#sphx-glr-auto-examples-drawing-plot-four-grids-py"><span class="std std-ref">Four Grids</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_four_grids.py</span></code>)</p></td> +<td><p>00:00.350</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_custom_node_icons.html#sphx-glr-auto-examples-drawing-plot-custom-node-icons-py"><span class="std std-ref">Custom node icons</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_custom_node_icons.py</span></code>)</p></td> -<td><p>00:00.492</p></td> +<td><p>00:00.328</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_degree.html#sphx-glr-auto-examples-drawing-plot-degree-py"><span class="std std-ref">Degree Analysis</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_degree.py</span></code>)</p></td> -<td><p>00:00.442</p></td> +<td><p>00:00.295</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_sampson.html#sphx-glr-auto-examples-drawing-plot-sampson-py"><span class="std std-ref">Sampson</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_sampson.py</span></code>)</p></td> -<td><p>00:00.429</p></td> +<td><p>00:00.281</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_spectral_grid.html#sphx-glr-auto-examples-drawing-plot-spectral-grid-py"><span class="std std-ref">Spectral Embedding</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_spectral_grid.py</span></code>)</p></td> -<td><p>00:00.408</p></td> +<td><p>00:00.259</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_directed.html#sphx-glr-auto-examples-drawing-plot-directed-py"><span class="std std-ref">Directed Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_directed.py</span></code>)</p></td> -<td><p>00:00.348</p></td> +<td><p>00:00.221</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_labels_and_colors.html#sphx-glr-auto-examples-drawing-plot-labels-and-colors-py"><span class="std std-ref">Labels And Colors</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_labels_and_colors.py</span></code>)</p></td> -<td><p>00:00.290</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_unix_email.html#sphx-glr-auto-examples-drawing-plot-unix-email-py"><span class="std std-ref">Unix Email</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_unix_email.py</span></code>)</p></td> +<td><p>00:00.208</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_unix_email.html#sphx-glr-auto-examples-drawing-plot-unix-email-py"><span class="std std-ref">Unix Email</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_unix_email.py</span></code>)</p></td> -<td><p>00:00.199</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_labels_and_colors.html#sphx-glr-auto-examples-drawing-plot-labels-and-colors-py"><span class="std std-ref">Labels And Colors</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_labels_and_colors.py</span></code>)</p></td> +<td><p>00:00.198</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_rainbow_coloring.html#sphx-glr-auto-examples-drawing-plot-rainbow-coloring-py"><span class="std std-ref">Rainbow Coloring</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_rainbow_coloring.py</span></code>)</p></td> -<td><p>00:00.186</p></td> +<td><p>00:00.135</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_knuth_miles.html#sphx-glr-auto-examples-drawing-plot-knuth-miles-py"><span class="std std-ref">Knuth Miles</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_knuth_miles.py</span></code>)</p></td> -<td><p>00:00.150</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_random_geometric_graph.html#sphx-glr-auto-examples-drawing-plot-random-geometric-graph-py"><span class="std std-ref">Random Geometric Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_random_geometric_graph.py</span></code>)</p></td> +<td><p>00:00.111</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_house_with_colors.html#sphx-glr-auto-examples-drawing-plot-house-with-colors-py"><span class="std std-ref">House With Colors</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_house_with_colors.py</span></code>)</p></td> -<td><p>00:00.149</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_knuth_miles.html#sphx-glr-auto-examples-drawing-plot-knuth-miles-py"><span class="std std-ref">Knuth Miles</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_knuth_miles.py</span></code>)</p></td> +<td><p>00:00.105</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_ego_graph.html#sphx-glr-auto-examples-drawing-plot-ego-graph-py"><span class="std std-ref">Ego Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_ego_graph.py</span></code>)</p></td> -<td><p>00:00.146</p></td> +<td><p>00:00.101</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_random_geometric_graph.html#sphx-glr-auto-examples-drawing-plot-random-geometric-graph-py"><span class="std std-ref">Random Geometric Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_random_geometric_graph.py</span></code>)</p></td> -<td><p>00:00.141</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_tsp.html#sphx-glr-auto-examples-drawing-plot-tsp-py"><span class="std std-ref">Traveling Salesman Problem</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_tsp.py</span></code>)</p></td> +<td><p>00:00.094</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_tsp.html#sphx-glr-auto-examples-drawing-plot-tsp-py"><span class="std std-ref">Traveling Salesman Problem</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_tsp.py</span></code>)</p></td> -<td><p>00:00.140</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_weighted_graph.html#sphx-glr-auto-examples-drawing-plot-weighted-graph-py"><span class="std std-ref">Weighted Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_weighted_graph.py</span></code>)</p></td> +<td><p>00:00.090</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_weighted_graph.html#sphx-glr-auto-examples-drawing-plot-weighted-graph-py"><span class="std std-ref">Weighted Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_weighted_graph.py</span></code>)</p></td> -<td><p>00:00.133</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_house_with_colors.html#sphx-glr-auto-examples-drawing-plot-house-with-colors-py"><span class="std std-ref">House With Colors</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_house_with_colors.py</span></code>)</p></td> +<td><p>00:00.089</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_selfloops.html#sphx-glr-auto-examples-drawing-plot-selfloops-py"><span class="std std-ref">Self-loops</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_selfloops.py</span></code>)</p></td> -<td><p>00:00.127</p></td> +<td><p>00:00.085</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_multipartite_graph.html#sphx-glr-auto-examples-drawing-plot-multipartite-graph-py"><span class="std std-ref">Multipartite Layout</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_multipartite_graph.py</span></code>)</p></td> -<td><p>00:00.113</p></td> +<td><p>00:00.082</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_center_node.html#sphx-glr-auto-examples-drawing-plot-center-node-py"><span class="std std-ref">Custom Node Position</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_center_node.py</span></code>)</p></td> -<td><p>00:00.103</p></td> +<td><p>00:00.072</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_edge_colormap.html#sphx-glr-auto-examples-drawing-plot-edge-colormap-py"><span class="std std-ref">Edge Colormap</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_edge_colormap.py</span></code>)</p></td> -<td><p>00:00.099</p></td> +<td><p>00:00.067</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_simple_path.html#sphx-glr-auto-examples-drawing-plot-simple-path-py"><span class="std std-ref">Simple Path</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_simple_path.py</span></code>)</p></td> -<td><p>00:00.091</p></td> +<td><p>00:00.063</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_node_colormap.html#sphx-glr-auto-examples-drawing-plot-node-colormap-py"><span class="std std-ref">Node Colormap</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_node_colormap.py</span></code>)</p></td> -<td><p>00:00.079</p></td> +<td><p>00:00.057</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/auto_examples/external/plot_igraph.html b/auto_examples/external/plot_igraph.html index e9582de2..df74cea5 100644 --- a/auto_examples/external/plot_igraph.html +++ b/auto_examples/external/plot_igraph.html @@ -551,7 +551,7 @@ provides (among many other things) functions to convert to/from NetworkX.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<img src="../../_images/sphx_glr_plot_igraph_002.png" srcset="../../_images/sphx_glr_plot_igraph_002.png" alt="plot igraph" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.658 seconds)</p> +<img src="../../_images/sphx_glr_plot_igraph_002.png" srcset="../../_images/sphx_glr_plot_igraph_002.png" alt="plot igraph" class = "sphx-glr-single-img"/><p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.484 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-external-plot-igraph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/a390de783800778d34acc914fb8a3f84/plot_igraph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_igraph.py</span></code></a></p> diff --git a/auto_examples/external/sg_execution_times.html b/auto_examples/external/sg_execution_times.html index 3c7fae73..f55bc382 100644 --- a/auto_examples/external/sg_execution_times.html +++ b/auto_examples/external/sg_execution_times.html @@ -475,11 +475,11 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-external-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:00.658</strong> total execution time for <strong>auto_examples_external</strong> files:</p> +<p><strong>00:00.484</strong> total execution time for <strong>auto_examples_external</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_igraph.html#sphx-glr-auto-examples-external-plot-igraph-py"><span class="std std-ref">igraph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_igraph.py</span></code>)</p></td> -<td><p>00:00.658</p></td> +<td><p>00:00.484</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="javascript_force.html#sphx-glr-auto-examples-external-javascript-force-py"><span class="std std-ref">Javascript</span></a> (<code class="docutils literal notranslate"><span class="pre">javascript_force.py</span></code>)</p></td> diff --git a/auto_examples/geospatial/plot_delaunay.html b/auto_examples/geospatial/plot_delaunay.html index 256ab215..24b5ff9f 100644 --- a/auto_examples/geospatial/plot_delaunay.html +++ b/auto_examples/geospatial/plot_delaunay.html @@ -577,7 +577,7 @@ directly with polygonal data using their centroids as representative points.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 4.697 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 3.170 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-geospatial-plot-delaunay-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/2b63e3aade568b3f182ba20240be7234/plot_delaunay.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_delaunay.py</span></code></a></p> diff --git a/auto_examples/geospatial/plot_lines.html b/auto_examples/geospatial/plot_lines.html index bc7d7095..98a6f47e 100644 --- a/auto_examples/geospatial/plot_lines.html +++ b/auto_examples/geospatial/plot_lines.html @@ -610,7 +610,7 @@ Create PySAL weights (graph).</p> <span class="n">G_dual</span> <span class="o">=</span> <span class="n">W</span><span class="o">.</span><span class="n">to_networkx</span><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 4.490 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 2.978 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-geospatial-plot-lines-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/8ca1ed8a4cf00870baa5a8020931ba46/plot_lines.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_lines.py</span></code></a></p> diff --git a/auto_examples/geospatial/plot_osmnx.html b/auto_examples/geospatial/plot_osmnx.html index cb1adc83..e0177425 100644 --- a/auto_examples/geospatial/plot_osmnx.html +++ b/auto_examples/geospatial/plot_osmnx.html @@ -553,7 +553,7 @@ retrieve any other spatial data from OSM as geopandas GeoDataFrames. See <span class="n">ox</span><span class="o">.</span><span class="n">save_graphml</span><span class="p">(</span><span class="n">G</span><span class="p">,</span> <span class="n">filepath</span><span class="o">=</span><span class="s2">"./graph.graphml"</span><span class="p">)</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 5.448 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 3.871 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-geospatial-plot-osmnx-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/769ba4a0ffbf9feb2f308b434010db7f/plot_osmnx.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_osmnx.py</span></code></a></p> diff --git a/auto_examples/geospatial/plot_points.html b/auto_examples/geospatial/plot_points.html index 9d17e6cb..dba7e3ef 100644 --- a/auto_examples/geospatial/plot_points.html +++ b/auto_examples/geospatial/plot_points.html @@ -564,7 +564,7 @@ centroids as representative points.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 5.222 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 3.189 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-geospatial-plot-points-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/c79825a60948ea589076f8f2b52b4981/plot_points.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_points.py</span></code></a></p> diff --git a/auto_examples/geospatial/plot_polygons.html b/auto_examples/geospatial/plot_polygons.html index 161f0364..6a111e26 100644 --- a/auto_examples/geospatial/plot_polygons.html +++ b/auto_examples/geospatial/plot_polygons.html @@ -561,7 +561,7 @@ as well as other kinds of graphs from the polygon centroids.</p> <span class="c1"># by the pygeos package.</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.627 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.445 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-geospatial-plot-polygons-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/9be63872be08214edeb4d5a2d5f66987/plot_polygons.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_polygons.py</span></code></a></p> diff --git a/auto_examples/geospatial/sg_execution_times.html b/auto_examples/geospatial/sg_execution_times.html index 02f2cc62..09cb6762 100644 --- a/auto_examples/geospatial/sg_execution_times.html +++ b/auto_examples/geospatial/sg_execution_times.html @@ -475,27 +475,27 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-geospatial-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:20.483</strong> total execution time for <strong>auto_examples_geospatial</strong> files:</p> +<p><strong>00:13.654</strong> total execution time for <strong>auto_examples_geospatial</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_osmnx.html#sphx-glr-auto-examples-geospatial-plot-osmnx-py"><span class="std std-ref">OpenStreetMap with OSMnx</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_osmnx.py</span></code>)</p></td> -<td><p>00:05.448</p></td> +<td><p>00:03.871</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_points.html#sphx-glr-auto-examples-geospatial-plot-points-py"><span class="std std-ref">Graphs from geographic points</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_points.py</span></code>)</p></td> -<td><p>00:05.222</p></td> +<td><p>00:03.189</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_delaunay.html#sphx-glr-auto-examples-geospatial-plot-delaunay-py"><span class="std std-ref">Delaunay graphs from geographic points</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_delaunay.py</span></code>)</p></td> -<td><p>00:04.697</p></td> +<td><p>00:03.170</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_lines.html#sphx-glr-auto-examples-geospatial-plot-lines-py"><span class="std std-ref">Graphs from a set of lines</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_lines.py</span></code>)</p></td> -<td><p>00:04.490</p></td> +<td><p>00:02.978</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_polygons.html#sphx-glr-auto-examples-geospatial-plot-polygons-py"><span class="std std-ref">Graphs from Polygons</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_polygons.py</span></code>)</p></td> -<td><p>00:00.627</p></td> +<td><p>00:00.445</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/auto_examples/graph/plot_dag_layout.html b/auto_examples/graph/plot_dag_layout.html index 13ee03b1..73f07eed 100644 --- a/auto_examples/graph/plot_dag_layout.html +++ b/auto_examples/graph/plot_dag_layout.html @@ -553,7 +553,7 @@ order.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.206 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.133 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-dag-layout-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/317508b452046ab7944bed07a87a11a5/plot_dag_layout.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_dag_layout.py</span></code></a></p> diff --git a/auto_examples/graph/plot_degree_sequence.html b/auto_examples/graph/plot_degree_sequence.html index ff78e067..ee085db6 100644 --- a/auto_examples/graph/plot_degree_sequence.html +++ b/auto_examples/graph/plot_degree_sequence.html @@ -562,7 +562,7 @@ degree #nodes <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.091 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.062 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-degree-sequence-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/27102b9986eea2f742603c5d8496d2f8/plot_degree_sequence.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_degree_sequence.py</span></code></a></p> diff --git a/auto_examples/graph/plot_erdos_renyi.html b/auto_examples/graph/plot_erdos_renyi.html index ba62c7ba..2f58f86c 100644 --- a/auto_examples/graph/plot_erdos_renyi.html +++ b/auto_examples/graph/plot_erdos_renyi.html @@ -574,7 +574,7 @@ the adjacency list <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.093 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.063 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-erdos-renyi-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/1dae7040b667b61c3253579b3b21fe83/plot_erdos_renyi.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_erdos_renyi.py</span></code></a></p> diff --git a/auto_examples/graph/plot_expected_degree_sequence.html b/auto_examples/graph/plot_expected_degree_sequence.html index 4ca972c8..e42f2399 100644 --- a/auto_examples/graph/plot_expected_degree_sequence.html +++ b/auto_examples/graph/plot_expected_degree_sequence.html @@ -549,44 +549,48 @@ degree (#nodes) **** 27 ( 0) 28 ( 0) 29 ( 0) -30 ( 0) +30 ( 1) * 31 ( 0) -32 ( 1) * -33 ( 0) -34 ( 2) ** -35 ( 1) * -36 ( 6) ****** +32 ( 0) +33 ( 2) ** +34 ( 4) **** +35 ( 3) *** +36 ( 3) *** 37 ( 7) ******* 38 ( 6) ****** -39 ( 9) ********* -40 ( 8) ******** -41 (12) ************ -42 (11) *********** -43 (17) ***************** -44 (23) *********************** -45 (26) ************************** -46 (30) ****************************** -47 (26) ************************** -48 (24) ************************ -49 (35) *********************************** -50 (36) ************************************ -51 (24) ************************ -52 (35) *********************************** -53 (18) ****************** -54 (29) ***************************** -55 (18) ****************** +39 (12) ************ +40 (11) *********** +41 ( 8) ******** +42 (14) ************** +43 (13) ************* +44 (14) ************** +45 (21) ********************* +46 (34) ********************************** +47 (28) **************************** +48 (25) ************************* +49 (38) ************************************** +50 (38) ************************************** +51 (34) ********************************** +52 (25) ************************* +53 (26) ************************** +54 (16) **************** +55 (19) ******************* 56 (19) ******************* -57 (20) ******************** -58 (12) ************ -59 (10) ********** -60 ( 6) ****** +57 (18) ****************** +58 (16) **************** +59 (12) ************ +60 (11) *********** 61 ( 4) **** -62 ( 8) ******** -63 ( 7) ******* -64 ( 2) ** -65 ( 3) *** -66 ( 4) **** -67 ( 1) * +62 ( 3) *** +63 ( 3) *** +64 ( 1) * +65 ( 4) **** +66 ( 1) * +67 ( 3) *** +68 ( 2) ** +69 ( 0) +70 ( 0) +71 ( 1) * </pre></div> </div> <div class="line-block"> @@ -606,7 +610,7 @@ degree (#nodes) **** <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">i</span></a><span class="si">:</span><span class="s2">2</span><span class="si">}</span><span class="s2"> (</span><span class="si">{</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">d</span></a><span class="si">:</span><span class="s2">2</span><span class="si">}</span><span class="s2">) </span><span class="si">{</span><span class="s1">'*'</span><span class="o">*</span><a href="https://docs.python.org/3/library/functions.html#int" title="builtins.int" class="sphx-glr-backref-module-builtins sphx-glr-backref-type-py-class sphx-glr-backref-instance"><span class="n">d</span></a><span class="si">}</span><span class="s2">"</span><span class="p">)</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.041 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.031 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-expected-degree-sequence-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/7378087382f40e96e66bce4a35ba0e52/plot_expected_degree_sequence.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_expected_degree_sequence.py</span></code></a></p> diff --git a/auto_examples/graph/plot_football.html b/auto_examples/graph/plot_football.html index e5139704..1548d961 100644 --- a/auto_examples/graph/plot_football.html +++ b/auto_examples/graph/plot_football.html @@ -698,7 +698,7 @@ Hawaii 11 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.402 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.449 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-football-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/ca0a30060f60faf520286faa348f4700/plot_football.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_football.py</span></code></a></p> diff --git a/auto_examples/graph/plot_karate_club.html b/auto_examples/graph/plot_karate_club.html index 502a6f45..4490d583 100644 --- a/auto_examples/graph/plot_karate_club.html +++ b/auto_examples/graph/plot_karate_club.html @@ -574,7 +574,7 @@ Journal of Anthropological Research, 33, 452-473.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.133 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.093 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-karate-club-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/373a1e407e4caee6fc7b7b46704a985c/plot_karate_club.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_karate_club.py</span></code></a></p> diff --git a/auto_examples/graph/plot_morse_trie.html b/auto_examples/graph/plot_morse_trie.html index 23bbb714..2c8b589c 100644 --- a/auto_examples/graph/plot_morse_trie.html +++ b/auto_examples/graph/plot_morse_trie.html @@ -615,7 +615,7 @@ the path.</p> <span class="nb">print</span><span class="p">(</span><span class="s2">" "</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="n">morse_encode</span><span class="p">(</span><span class="n">ltr</span><span class="p">)</span> <span class="k">for</span> <span class="n">ltr</span> <span class="ow">in</span> <span class="s2">"ilovenetworkx"</span><span class="p">]))</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.292 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.182 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-morse-trie-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/60379a4283563d425090aaae07ab115a/plot_morse_trie.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_morse_trie.py</span></code></a></p> diff --git a/auto_examples/graph/plot_napoleon_russian_campaign.html b/auto_examples/graph/plot_napoleon_russian_campaign.html index 1cfc8711..c7b0c171 100644 --- a/auto_examples/graph/plot_napoleon_russian_campaign.html +++ b/auto_examples/graph/plot_napoleon_russian_campaign.html @@ -644,7 +644,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.194 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.133 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-napoleon-russian-campaign-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/87e75a2d09fb817a4616bb71aa44546f/plot_napoleon_russian_campaign.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_napoleon_russian_campaign.py</span></code></a></p> diff --git a/auto_examples/graph/plot_roget.html b/auto_examples/graph/plot_roget.html index c77fda56..3e886e47 100644 --- a/auto_examples/graph/plot_roget.html +++ b/auto_examples/graph/plot_roget.html @@ -600,7 +600,7 @@ DiGraph with 1022 nodes and 5075 edges <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.319 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.232 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-roget-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/118b3a0c87610e4910d74143c904d290/plot_roget.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_roget.py</span></code></a></p> diff --git a/auto_examples/graph/plot_triad_types.html b/auto_examples/graph/plot_triad_types.html index 8fe289a4..6000dfc7 100644 --- a/auto_examples/graph/plot_triad_types.html +++ b/auto_examples/graph/plot_triad_types.html @@ -575,7 +575,7 @@ the Orientation as Up (U), Down (D) , Cyclical (C) or Transitive (T).</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 2.076 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 1.292 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-triad-types-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/b7a826e19c8bd8bafecaae1ae69c7d1d/plot_triad_types.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_triad_types.py</span></code></a></p> diff --git a/auto_examples/graph/plot_words.html b/auto_examples/graph/plot_words.html index dfe309e8..9bde1f50 100644 --- a/auto_examples/graph/plot_words.html +++ b/auto_examples/graph/plot_words.html @@ -636,7 +636,7 @@ None <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.535 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.376 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graph-plot-words-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/e6a489a8b2deb49ed237fac38a28f429/plot_words.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_words.py</span></code></a></p> diff --git a/auto_examples/graph/sg_execution_times.html b/auto_examples/graph/sg_execution_times.html index 5cce0816..6577464a 100644 --- a/auto_examples/graph/sg_execution_times.html +++ b/auto_examples/graph/sg_execution_times.html @@ -475,51 +475,51 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-graph-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:04.382</strong> total execution time for <strong>auto_examples_graph</strong> files:</p> +<p><strong>00:03.045</strong> total execution time for <strong>auto_examples_graph</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_triad_types.html#sphx-glr-auto-examples-graph-plot-triad-types-py"><span class="std std-ref">Triads</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_triad_types.py</span></code>)</p></td> -<td><p>00:02.076</p></td> +<td><p>00:01.292</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_words.html#sphx-glr-auto-examples-graph-plot-words-py"><span class="std std-ref">Words/Ladder Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_words.py</span></code>)</p></td> -<td><p>00:00.535</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_football.html#sphx-glr-auto-examples-graph-plot-football-py"><span class="std std-ref">Football</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_football.py</span></code>)</p></td> +<td><p>00:00.449</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_football.html#sphx-glr-auto-examples-graph-plot-football-py"><span class="std std-ref">Football</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_football.py</span></code>)</p></td> -<td><p>00:00.402</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_words.html#sphx-glr-auto-examples-graph-plot-words-py"><span class="std std-ref">Words/Ladder Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_words.py</span></code>)</p></td> +<td><p>00:00.376</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_roget.html#sphx-glr-auto-examples-graph-plot-roget-py"><span class="std std-ref">Roget</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_roget.py</span></code>)</p></td> -<td><p>00:00.319</p></td> +<td><p>00:00.232</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_morse_trie.html#sphx-glr-auto-examples-graph-plot-morse-trie-py"><span class="std std-ref">Morse Trie</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_morse_trie.py</span></code>)</p></td> -<td><p>00:00.292</p></td> +<td><p>00:00.182</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_dag_layout.html#sphx-glr-auto-examples-graph-plot-dag-layout-py"><span class="std std-ref">DAG - Topological Layout</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_dag_layout.py</span></code>)</p></td> -<td><p>00:00.206</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_napoleon_russian_campaign.html#sphx-glr-auto-examples-graph-plot-napoleon-russian-campaign-py"><span class="std std-ref">Napoleon Russian Campaign</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_napoleon_russian_campaign.py</span></code>)</p></td> +<td><p>00:00.133</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_napoleon_russian_campaign.html#sphx-glr-auto-examples-graph-plot-napoleon-russian-campaign-py"><span class="std std-ref">Napoleon Russian Campaign</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_napoleon_russian_campaign.py</span></code>)</p></td> -<td><p>00:00.194</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_dag_layout.html#sphx-glr-auto-examples-graph-plot-dag-layout-py"><span class="std std-ref">DAG - Topological Layout</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_dag_layout.py</span></code>)</p></td> +<td><p>00:00.133</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_karate_club.html#sphx-glr-auto-examples-graph-plot-karate-club-py"><span class="std std-ref">Karate Club</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_karate_club.py</span></code>)</p></td> -<td><p>00:00.133</p></td> +<td><p>00:00.093</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_erdos_renyi.html#sphx-glr-auto-examples-graph-plot-erdos-renyi-py"><span class="std std-ref">Erdos Renyi</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_erdos_renyi.py</span></code>)</p></td> -<td><p>00:00.093</p></td> +<td><p>00:00.063</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_degree_sequence.html#sphx-glr-auto-examples-graph-plot-degree-sequence-py"><span class="std std-ref">Degree Sequence</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_degree_sequence.py</span></code>)</p></td> -<td><p>00:00.091</p></td> +<td><p>00:00.062</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_expected_degree_sequence.html#sphx-glr-auto-examples-graph-plot-expected-degree-sequence-py"><span class="std std-ref">Expected Degree Sequence</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_expected_degree_sequence.py</span></code>)</p></td> -<td><p>00:00.041</p></td> +<td><p>00:00.031</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/auto_examples/graphviz_drawing/plot_attributes.html b/auto_examples/graphviz_drawing/plot_attributes.html index 960f1fe3..555b123e 100644 --- a/auto_examples/graphviz_drawing/plot_attributes.html +++ b/auto_examples/graphviz_drawing/plot_attributes.html @@ -544,7 +544,7 @@ node node attributes <span class="nb">print</span><span class="p">(</span><span class="n">X</span><span class="o">.</span><span class="n">nodes</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="kc">True</span><span class="p">))</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.145 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.067 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-drawing-plot-attributes-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/52bb0ebd52824aa460a3ecb45c1cb5e5/plot_attributes.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_attributes.py</span></code></a></p> diff --git a/auto_examples/graphviz_drawing/plot_conversion.html b/auto_examples/graphviz_drawing/plot_conversion.html index fc3e387b..ccf6dba3 100644 --- a/auto_examples/graphviz_drawing/plot_conversion.html +++ b/auto_examples/graphviz_drawing/plot_conversion.html @@ -526,7 +526,7 @@ to download the full example code</p> <a href="https://pygraphviz.github.io/documentation/stable/reference/agraph.html#pygraphviz.AGraph.draw" title="pygraphviz.AGraph.draw" class="sphx-glr-backref-module-pygraphviz sphx-glr-backref-type-py-method"><span class="n">A</span><span class="o">.</span><span class="n">draw</span></a><span class="p">(</span><span class="s2">"k5.png"</span><span class="p">,</span> <span class="n">prog</span><span class="o">=</span><span class="s2">"neato"</span><span class="p">)</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.035 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.026 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-drawing-plot-conversion-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/27aa0c08bacf20ba3f5ce4f8d02ac226/plot_conversion.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_conversion.py</span></code></a></p> diff --git a/auto_examples/graphviz_drawing/plot_grid.html b/auto_examples/graphviz_drawing/plot_grid.html index 13a4d723..ff96abda 100644 --- a/auto_examples/graphviz_drawing/plot_grid.html +++ b/auto_examples/graphviz_drawing/plot_grid.html @@ -531,7 +531,7 @@ Graphviz command line interface to create visualizations.</p> <img src="../../_images/sphx_glr_plot_grid_001.png" srcset="../../_images/sphx_glr_plot_grid_001.png" alt="plot grid" class = "sphx-glr-single-img"/><div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>Now run: neato -Tps grid.dot >grid.ps </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.083 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.068 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-drawing-plot-grid-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/26e3cd745ae317a76a0df34cbf4999d8/plot_grid.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_grid.py</span></code></a></p> diff --git a/auto_examples/graphviz_drawing/plot_mini_atlas.html b/auto_examples/graphviz_drawing/plot_mini_atlas.html index 2079a6d7..b486f5fd 100644 --- a/auto_examples/graphviz_drawing/plot_mini_atlas.html +++ b/auto_examples/graphviz_drawing/plot_mini_atlas.html @@ -555,7 +555,7 @@ Graph named 'G19' with 5 nodes and 0 edges <a href="https://pygraphviz.github.io/documentation/stable/reference/agraph.html#pygraphviz.AGraph.draw" title="pygraphviz.AGraph.draw" class="sphx-glr-backref-module-pygraphviz sphx-glr-backref-type-py-method"><span class="n">A</span><span class="o">.</span><span class="n">draw</span></a><span class="p">(</span><span class="s2">"A20.png"</span><span class="p">,</span> <span class="n">prog</span><span class="o">=</span><span class="s2">"neato"</span><span class="p">)</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.105 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.079 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-drawing-plot-mini-atlas-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/cc271806f4fdfe8710206c593b90e506/plot_mini_atlas.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_mini_atlas.py</span></code></a></p> diff --git a/auto_examples/graphviz_drawing/sg_execution_times.html b/auto_examples/graphviz_drawing/sg_execution_times.html index 04d717de..ed3d5100 100644 --- a/auto_examples/graphviz_drawing/sg_execution_times.html +++ b/auto_examples/graphviz_drawing/sg_execution_times.html @@ -475,23 +475,23 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-graphviz-drawing-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:00.369</strong> total execution time for <strong>auto_examples_graphviz_drawing</strong> files:</p> +<p><strong>00:00.239</strong> total execution time for <strong>auto_examples_graphviz_drawing</strong> files:</p> <table class="table"> <tbody> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_attributes.html#sphx-glr-auto-examples-graphviz-drawing-plot-attributes-py"><span class="std std-ref">Attributes</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_attributes.py</span></code>)</p></td> -<td><p>00:00.145</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_mini_atlas.html#sphx-glr-auto-examples-graphviz-drawing-plot-mini-atlas-py"><span class="std std-ref">Atlas</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_mini_atlas.py</span></code>)</p></td> +<td><p>00:00.079</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-even"><td><p><a class="reference internal" href="plot_mini_atlas.html#sphx-glr-auto-examples-graphviz-drawing-plot-mini-atlas-py"><span class="std std-ref">Atlas</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_mini_atlas.py</span></code>)</p></td> -<td><p>00:00.105</p></td> +<tr class="row-even"><td><p><a class="reference internal" href="plot_grid.html#sphx-glr-auto-examples-graphviz-drawing-plot-grid-py"><span class="std std-ref">2D Grid</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_grid.py</span></code>)</p></td> +<td><p>00:00.068</p></td> <td><p>0.0 MB</p></td> </tr> -<tr class="row-odd"><td><p><a class="reference internal" href="plot_grid.html#sphx-glr-auto-examples-graphviz-drawing-plot-grid-py"><span class="std std-ref">2D Grid</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_grid.py</span></code>)</p></td> -<td><p>00:00.083</p></td> +<tr class="row-odd"><td><p><a class="reference internal" href="plot_attributes.html#sphx-glr-auto-examples-graphviz-drawing-plot-attributes-py"><span class="std std-ref">Attributes</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_attributes.py</span></code>)</p></td> +<td><p>00:00.067</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_conversion.html#sphx-glr-auto-examples-graphviz-drawing-plot-conversion-py"><span class="std std-ref">Conversion</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_conversion.py</span></code>)</p></td> -<td><p>00:00.035</p></td> +<td><p>00:00.026</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/auto_examples/graphviz_layout/plot_atlas.html b/auto_examples/graphviz_layout/plot_atlas.html index 4d69428d..3749f5ee 100644 --- a/auto_examples/graphviz_layout/plot_atlas.html +++ b/auto_examples/graphviz_layout/plot_atlas.html @@ -561,7 +561,7 @@ We don’t plot the empty graph nor the single node graph. <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 5.178 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 3.785 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-layout-plot-atlas-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/37c712582f2a7575f32a59a1389228a7/plot_atlas.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_atlas.py</span></code></a></p> diff --git a/auto_examples/graphviz_layout/plot_circular_tree.html b/auto_examples/graphviz_layout/plot_circular_tree.html index d1b3be60..1bf6d235 100644 --- a/auto_examples/graphviz_layout/plot_circular_tree.html +++ b/auto_examples/graphviz_layout/plot_circular_tree.html @@ -522,7 +522,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.214 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.156 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-layout-plot-circular-tree-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/e854482dd498b1c5f7f158a5717b999d/plot_circular_tree.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_circular_tree.py</span></code></a></p> diff --git a/auto_examples/graphviz_layout/plot_decomposition.html b/auto_examples/graphviz_layout/plot_decomposition.html index 03198eb1..5a098a44 100644 --- a/auto_examples/graphviz_layout/plot_decomposition.html +++ b/auto_examples/graphviz_layout/plot_decomposition.html @@ -547,7 +547,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.558 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.347 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-layout-plot-decomposition-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/533257c084adfbb38066f806a87784c5/plot_decomposition.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_decomposition.py</span></code></a></p> diff --git a/auto_examples/graphviz_layout/plot_giant_component.html b/auto_examples/graphviz_layout/plot_giant_component.html index c255b477..e87b0cda 100644 --- a/auto_examples/graphviz_layout/plot_giant_component.html +++ b/auto_examples/graphviz_layout/plot_giant_component.html @@ -555,7 +555,7 @@ giant connected component in a binomial random graph.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 1.131 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.848 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-layout-plot-giant-component-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/f5d29b33ff492f40e4749050b3f5e7dd/plot_giant_component.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_giant_component.py</span></code></a></p> diff --git a/auto_examples/graphviz_layout/plot_lanl_routes.html b/auto_examples/graphviz_layout/plot_lanl_routes.html index 10fc95a0..9c4c994e 100644 --- a/auto_examples/graphviz_layout/plot_lanl_routes.html +++ b/auto_examples/graphviz_layout/plot_lanl_routes.html @@ -573,7 +573,7 @@ to download the full example code</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.453 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.339 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-graphviz-layout-plot-lanl-routes-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/30e04b92b8aefc7afe7f634d84ae925a/plot_lanl_routes.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_lanl_routes.py</span></code></a></p> diff --git a/auto_examples/graphviz_layout/sg_execution_times.html b/auto_examples/graphviz_layout/sg_execution_times.html index b63245b1..c029734e 100644 --- a/auto_examples/graphviz_layout/sg_execution_times.html +++ b/auto_examples/graphviz_layout/sg_execution_times.html @@ -475,27 +475,27 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-graphviz-layout-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:07.533</strong> total execution time for <strong>auto_examples_graphviz_layout</strong> files:</p> +<p><strong>00:05.474</strong> total execution time for <strong>auto_examples_graphviz_layout</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_atlas.html#sphx-glr-auto-examples-graphviz-layout-plot-atlas-py"><span class="std std-ref">Atlas</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_atlas.py</span></code>)</p></td> -<td><p>00:05.178</p></td> +<td><p>00:03.785</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_giant_component.html#sphx-glr-auto-examples-graphviz-layout-plot-giant-component-py"><span class="std std-ref">Giant Component</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_giant_component.py</span></code>)</p></td> -<td><p>00:01.131</p></td> +<td><p>00:00.848</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_decomposition.html#sphx-glr-auto-examples-graphviz-layout-plot-decomposition-py"><span class="std std-ref">Decomposition</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_decomposition.py</span></code>)</p></td> -<td><p>00:00.558</p></td> +<td><p>00:00.347</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_lanl_routes.html#sphx-glr-auto-examples-graphviz-layout-plot-lanl-routes-py"><span class="std std-ref">Lanl Routes</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_lanl_routes.py</span></code>)</p></td> -<td><p>00:00.453</p></td> +<td><p>00:00.339</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-odd"><td><p><a class="reference internal" href="plot_circular_tree.html#sphx-glr-auto-examples-graphviz-layout-plot-circular-tree-py"><span class="std std-ref">Circular Tree</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_circular_tree.py</span></code>)</p></td> -<td><p>00:00.214</p></td> +<td><p>00:00.156</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/auto_examples/subclass/plot_antigraph.html b/auto_examples/subclass/plot_antigraph.html index a5fadf00..ef54e64e 100644 --- a/auto_examples/subclass/plot_antigraph.html +++ b/auto_examples/subclass/plot_antigraph.html @@ -692,7 +692,7 @@ algorithms.</p> <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.136 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.095 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-subclass-plot-antigraph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/652afbfc3c52c8cdd7689321df2e696a/plot_antigraph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_antigraph.py</span></code></a></p> diff --git a/auto_examples/subclass/plot_printgraph.html b/auto_examples/subclass/plot_printgraph.html index c3635165..73092e0a 100644 --- a/auto_examples/subclass/plot_printgraph.html +++ b/auto_examples/subclass/plot_printgraph.html @@ -628,7 +628,7 @@ Add edge: 9-12 <a href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.show.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show" class="sphx-glr-backref-module-matplotlib-pyplot sphx-glr-backref-type-py-function"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span> </pre></div> </div> -<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.094 seconds)</p> +<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.063 seconds)</p> <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-auto-examples-subclass-plot-printgraph-py"> <div class="sphx-glr-download sphx-glr-download-python docutils container"> <p><a class="reference download internal" download="" href="../../_downloads/1b5e7bf8d2514d71280314171170de85/plot_printgraph.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">plot_printgraph.py</span></code></a></p> diff --git a/auto_examples/subclass/sg_execution_times.html b/auto_examples/subclass/sg_execution_times.html index ab2f3b2f..5c9736b5 100644 --- a/auto_examples/subclass/sg_execution_times.html +++ b/auto_examples/subclass/sg_execution_times.html @@ -475,15 +475,15 @@ <section id="computation-times"> <span id="sphx-glr-auto-examples-subclass-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this heading">#</a></h1> -<p><strong>00:00.230</strong> total execution time for <strong>auto_examples_subclass</strong> files:</p> +<p><strong>00:00.158</strong> total execution time for <strong>auto_examples_subclass</strong> files:</p> <table class="table"> <tbody> <tr class="row-odd"><td><p><a class="reference internal" href="plot_antigraph.html#sphx-glr-auto-examples-subclass-plot-antigraph-py"><span class="std std-ref">Antigraph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_antigraph.py</span></code>)</p></td> -<td><p>00:00.136</p></td> +<td><p>00:00.095</p></td> <td><p>0.0 MB</p></td> </tr> <tr class="row-even"><td><p><a class="reference internal" href="plot_printgraph.html#sphx-glr-auto-examples-subclass-plot-printgraph-py"><span class="std std-ref">Print Graph</span></a> (<code class="docutils literal notranslate"><span class="pre">plot_printgraph.py</span></code>)</p></td> -<td><p>00:00.094</p></td> +<td><p>00:00.063</p></td> <td><p>0.0 MB</p></td> </tr> </tbody> diff --git a/developer/index.html b/developer/index.html index d4f779e0..dfbb486a 100644 --- a/developer/index.html +++ b/developer/index.html @@ -505,7 +505,7 @@ <dd class="field-odd"><p>3.1rc1.dev0</p> </dd> <dt class="field-even">Date<span class="colon">:</span></dt> -<dd class="field-even"><p>Feb 23, 2023</p> +<dd class="field-even"><p>Feb 26, 2023</p> </dd> </dl> <div class="toctree-wrapper compound"> @@ -476,7 +476,7 @@ <dd class="field-odd"><p>3.1rc1.dev0</p> </dd> <dt class="field-even">Date<span class="colon">:</span></dt> -<dd class="field-even"><p>Feb 23, 2023</p> +<dd class="field-even"><p>Feb 26, 2023</p> </dd> </dl> <p>NetworkX is a Python package for the creation, manipulation, and study diff --git a/reference/index.html b/reference/index.html index 5d980ed0..e82c6d89 100644 --- a/reference/index.html +++ b/reference/index.html @@ -508,7 +508,7 @@ <dd class="field-odd"><p>3.1rc1.dev0</p> </dd> <dt class="field-even">Date<span class="colon">:</span></dt> -<dd class="field-even"><p>Feb 23, 2023</p> +<dd class="field-even"><p>Feb 26, 2023</p> </dd> </dl> </div></blockquote> diff --git a/reference/introduction-7.hires.png b/reference/introduction-7.hires.png Binary files differindex 5d8750f1..32217995 100644 --- a/reference/introduction-7.hires.png +++ b/reference/introduction-7.hires.png diff --git a/reference/introduction-7.pdf b/reference/introduction-7.pdf Binary files differindex 3f99a2c6..01514330 100644 --- a/reference/introduction-7.pdf +++ b/reference/introduction-7.pdf diff --git a/reference/introduction-7.png b/reference/introduction-7.png Binary files differindex 8f0ac528..a025c927 100644 --- a/reference/introduction-7.png +++ b/reference/introduction-7.png diff --git a/reference/introduction.ipynb b/reference/introduction.ipynb index 9eb98503..37ee5ea1 100644 --- a/reference/introduction.ipynb +++ b/reference/introduction.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "1d4511a9", + "id": "b5a8eb6b", "metadata": {}, "source": [ "## Introduction\n", @@ -34,7 +34,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ce2d887e", + "id": "5695930c", "metadata": {}, "outputs": [], "source": [ @@ -43,7 +43,7 @@ }, { "cell_type": "markdown", - "id": "9f64341f", + "id": "692c2305", "metadata": {}, "source": [ "To save repetition, in the documentation we assume that\n", @@ -82,7 +82,7 @@ { "cell_type": "code", "execution_count": null, - "id": "41a6d1a4", + "id": "cb802a24", "metadata": {}, "outputs": [], "source": [ @@ -94,7 +94,7 @@ }, { "cell_type": "markdown", - "id": "823ac6c3", + "id": "bf48d000", "metadata": {}, "source": [ "All graph classes allow any [hashable](https://docs.python.org/3/glossary.html#term-hashable) object as a node.\n", @@ -193,7 +193,7 @@ { "cell_type": "code", "execution_count": null, - "id": "06a5fe88", + "id": "b57bd24b", "metadata": {}, "outputs": [], "source": [ @@ -205,7 +205,7 @@ }, { "cell_type": "markdown", - "id": "84b2c0f9", + "id": "af944dba", "metadata": {}, "source": [ "Edge attributes can be anything:" @@ -214,7 +214,7 @@ { "cell_type": "code", "execution_count": null, - "id": "05755dba", + "id": "e2400ba2", "metadata": {}, "outputs": [], "source": [ @@ -225,7 +225,7 @@ }, { "cell_type": "markdown", - "id": "26d67320", + "id": "30ce4b31", "metadata": {}, "source": [ "You can add many edges at one time:" @@ -234,7 +234,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a308ce23", + "id": "6f3061ba", "metadata": {}, "outputs": [], "source": [ @@ -246,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "3fd1985e", + "id": "cf4c1a29", "metadata": {}, "source": [ "See the Tutorial for more examples.\n", @@ -311,7 +311,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a7a29dfb", + "id": "33060076", "metadata": {}, "outputs": [], "source": [ @@ -323,7 +323,7 @@ }, { "cell_type": "markdown", - "id": "43ed8e28", + "id": "43a66e19", "metadata": {}, "source": [ "# Drawing\n", @@ -344,7 +344,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2ef83563", + "id": "50d5b2a3", "metadata": {}, "outputs": [], "source": [ @@ -358,7 +358,7 @@ }, { "cell_type": "markdown", - "id": "516d065f", + "id": "3a564e32", "metadata": {}, "source": [ "See the examples for more ideas.\n", @@ -398,7 +398,7 @@ { "cell_type": "code", "execution_count": null, - "id": "24f67a10", + "id": "8867e559", "metadata": {}, "outputs": [], "source": [ @@ -410,7 +410,7 @@ }, { "cell_type": "markdown", - "id": "fcf9bd4e", + "id": "475498e4", "metadata": {}, "source": [ "The data structure gets morphed slightly for each base graph class.\n", @@ -428,7 +428,7 @@ { "cell_type": "code", "execution_count": null, - "id": "16d2dc5c", + "id": "843dfcd2", "metadata": {}, "outputs": [], "source": [ diff --git a/reference/introduction_full.ipynb b/reference/introduction_full.ipynb index fcbe9948..73dd2f07 100644 --- a/reference/introduction_full.ipynb +++ b/reference/introduction_full.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "1d4511a9", + "id": "b5a8eb6b", "metadata": {}, "source": [ "## Introduction\n", @@ -34,13 +34,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "ce2d887e", + "id": "5695930c", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:13.145901Z", - "iopub.status.busy": "2023-02-23T15:29:13.145407Z", - "iopub.status.idle": "2023-02-23T15:29:13.246506Z", - "shell.execute_reply": "2023-02-23T15:29:13.245498Z" + "iopub.execute_input": "2023-02-26T01:59:50.313796Z", + "iopub.status.busy": "2023-02-26T01:59:50.313539Z", + "iopub.status.idle": "2023-02-26T01:59:50.385812Z", + "shell.execute_reply": "2023-02-26T01:59:50.384788Z" } }, "outputs": [], @@ -50,7 +50,7 @@ }, { "cell_type": "markdown", - "id": "9f64341f", + "id": "692c2305", "metadata": {}, "source": [ "To save repetition, in the documentation we assume that\n", @@ -89,13 +89,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "41a6d1a4", + "id": "cb802a24", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:13.250613Z", - "iopub.status.busy": "2023-02-23T15:29:13.250334Z", - "iopub.status.idle": "2023-02-23T15:29:13.256861Z", - "shell.execute_reply": "2023-02-23T15:29:13.255738Z" + "iopub.execute_input": "2023-02-26T01:59:50.389267Z", + "iopub.status.busy": "2023-02-26T01:59:50.388895Z", + "iopub.status.idle": "2023-02-26T01:59:50.392539Z", + "shell.execute_reply": "2023-02-26T01:59:50.391906Z" } }, "outputs": [], @@ -108,7 +108,7 @@ }, { "cell_type": "markdown", - "id": "823ac6c3", + "id": "bf48d000", "metadata": {}, "source": [ "All graph classes allow any [hashable](https://docs.python.org/3/glossary.html#term-hashable) object as a node.\n", @@ -207,13 +207,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "06a5fe88", + "id": "b57bd24b", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:13.259997Z", - "iopub.status.busy": "2023-02-23T15:29:13.259724Z", - "iopub.status.idle": "2023-02-23T15:29:13.264378Z", - "shell.execute_reply": "2023-02-23T15:29:13.263466Z" + "iopub.execute_input": "2023-02-26T01:59:50.395175Z", + "iopub.status.busy": "2023-02-26T01:59:50.394773Z", + "iopub.status.idle": "2023-02-26T01:59:50.398382Z", + "shell.execute_reply": "2023-02-26T01:59:50.397765Z" } }, "outputs": [], @@ -226,7 +226,7 @@ }, { "cell_type": "markdown", - "id": "84b2c0f9", + "id": "af944dba", "metadata": {}, "source": [ "Edge attributes can be anything:" @@ -235,13 +235,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "05755dba", + "id": "e2400ba2", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:13.267748Z", - "iopub.status.busy": "2023-02-23T15:29:13.267471Z", - "iopub.status.idle": "2023-02-23T15:29:13.271893Z", - "shell.execute_reply": "2023-02-23T15:29:13.271012Z" + "iopub.execute_input": "2023-02-26T01:59:50.401191Z", + "iopub.status.busy": "2023-02-26T01:59:50.400793Z", + "iopub.status.idle": "2023-02-26T01:59:50.405671Z", + "shell.execute_reply": "2023-02-26T01:59:50.404985Z" } }, "outputs": [], @@ -253,7 +253,7 @@ }, { "cell_type": "markdown", - "id": "26d67320", + "id": "30ce4b31", "metadata": {}, "source": [ "You can add many edges at one time:" @@ -262,13 +262,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "a308ce23", + "id": "6f3061ba", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:13.275717Z", - "iopub.status.busy": "2023-02-23T15:29:13.275425Z", - "iopub.status.idle": "2023-02-23T15:29:13.280660Z", - "shell.execute_reply": "2023-02-23T15:29:13.279757Z" + "iopub.execute_input": "2023-02-26T01:59:50.408338Z", + "iopub.status.busy": "2023-02-26T01:59:50.407936Z", + "iopub.status.idle": "2023-02-26T01:59:50.411971Z", + "shell.execute_reply": "2023-02-26T01:59:50.411340Z" } }, "outputs": [], @@ -281,7 +281,7 @@ }, { "cell_type": "markdown", - "id": "3fd1985e", + "id": "cf4c1a29", "metadata": {}, "source": [ "See the Tutorial for more examples.\n", @@ -346,13 +346,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "a7a29dfb", + "id": "33060076", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:13.284341Z", - "iopub.status.busy": "2023-02-23T15:29:13.283850Z", - "iopub.status.idle": "2023-02-23T15:29:13.289842Z", - "shell.execute_reply": "2023-02-23T15:29:13.288950Z" + "iopub.execute_input": "2023-02-26T01:59:50.414634Z", + "iopub.status.busy": "2023-02-26T01:59:50.414126Z", + "iopub.status.idle": "2023-02-26T01:59:50.418556Z", + "shell.execute_reply": "2023-02-26T01:59:50.417890Z" } }, "outputs": [ @@ -373,7 +373,7 @@ }, { "cell_type": "markdown", - "id": "43ed8e28", + "id": "43a66e19", "metadata": {}, "source": [ "# Drawing\n", @@ -394,19 +394,19 @@ { "cell_type": "code", "execution_count": 7, - "id": "2ef83563", + "id": "50d5b2a3", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:13.295075Z", - "iopub.status.busy": "2023-02-23T15:29:13.294770Z", - "iopub.status.idle": "2023-02-23T15:29:14.129409Z", - "shell.execute_reply": "2023-02-23T15:29:14.128417Z" + "iopub.execute_input": "2023-02-26T01:59:50.421843Z", + "iopub.status.busy": "2023-02-26T01:59:50.421512Z", + "iopub.status.idle": "2023-02-26T01:59:51.018318Z", + "shell.execute_reply": "2023-02-26T01:59:51.017614Z" } }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "<Figure size 640x480 with 2 Axes>" ] @@ -426,7 +426,7 @@ }, { "cell_type": "markdown", - "id": "516d065f", + "id": "3a564e32", "metadata": {}, "source": [ "See the examples for more ideas.\n", @@ -466,13 +466,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "24f67a10", + "id": "8867e559", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:14.133316Z", - "iopub.status.busy": "2023-02-23T15:29:14.132855Z", - "iopub.status.idle": "2023-02-23T15:29:14.141327Z", - "shell.execute_reply": "2023-02-23T15:29:14.140224Z" + "iopub.execute_input": "2023-02-26T01:59:51.021335Z", + "iopub.status.busy": "2023-02-26T01:59:51.020981Z", + "iopub.status.idle": "2023-02-26T01:59:51.026075Z", + "shell.execute_reply": "2023-02-26T01:59:51.025337Z" } }, "outputs": [ @@ -493,7 +493,7 @@ }, { "cell_type": "markdown", - "id": "fcf9bd4e", + "id": "475498e4", "metadata": {}, "source": [ "The data structure gets morphed slightly for each base graph class.\n", @@ -511,13 +511,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "16d2dc5c", + "id": "843dfcd2", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:14.147668Z", - "iopub.status.busy": "2023-02-23T15:29:14.147347Z", - "iopub.status.idle": "2023-02-23T15:29:14.155326Z", - "shell.execute_reply": "2023-02-23T15:29:14.154402Z" + "iopub.execute_input": "2023-02-26T01:59:51.028637Z", + "iopub.status.busy": "2023-02-26T01:59:51.028418Z", + "iopub.status.idle": "2023-02-26T01:59:51.033388Z", + "shell.execute_reply": "2023-02-26T01:59:51.032689Z" } }, "outputs": [ diff --git a/searchindex.js b/searchindex.js index dc63d1f8..c96dbce7 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["auto_examples/3d_drawing/index", "auto_examples/3d_drawing/mayavi2_spring", "auto_examples/3d_drawing/plot_basic", "auto_examples/3d_drawing/sg_execution_times", "auto_examples/algorithms/index", "auto_examples/algorithms/plot_beam_search", "auto_examples/algorithms/plot_betweenness_centrality", "auto_examples/algorithms/plot_blockmodel", "auto_examples/algorithms/plot_circuits", "auto_examples/algorithms/plot_davis_club", "auto_examples/algorithms/plot_dedensification", "auto_examples/algorithms/plot_iterated_dynamical_systems", "auto_examples/algorithms/plot_krackhardt_centrality", "auto_examples/algorithms/plot_maximum_independent_set", "auto_examples/algorithms/plot_parallel_betweenness", "auto_examples/algorithms/plot_rcm", "auto_examples/algorithms/plot_snap", "auto_examples/algorithms/plot_subgraphs", "auto_examples/algorithms/sg_execution_times", "auto_examples/basic/index", "auto_examples/basic/plot_properties", "auto_examples/basic/plot_read_write", "auto_examples/basic/plot_simple_graph", "auto_examples/basic/sg_execution_times", "auto_examples/drawing/index", "auto_examples/drawing/plot_center_node", "auto_examples/drawing/plot_chess_masters", "auto_examples/drawing/plot_custom_node_icons", "auto_examples/drawing/plot_degree", "auto_examples/drawing/plot_directed", "auto_examples/drawing/plot_edge_colormap", "auto_examples/drawing/plot_ego_graph", "auto_examples/drawing/plot_eigenvalues", "auto_examples/drawing/plot_four_grids", "auto_examples/drawing/plot_house_with_colors", "auto_examples/drawing/plot_knuth_miles", "auto_examples/drawing/plot_labels_and_colors", "auto_examples/drawing/plot_multipartite_graph", "auto_examples/drawing/plot_node_colormap", "auto_examples/drawing/plot_rainbow_coloring", "auto_examples/drawing/plot_random_geometric_graph", "auto_examples/drawing/plot_sampson", "auto_examples/drawing/plot_selfloops", "auto_examples/drawing/plot_simple_path", "auto_examples/drawing/plot_spectral_grid", "auto_examples/drawing/plot_tsp", "auto_examples/drawing/plot_unix_email", "auto_examples/drawing/plot_weighted_graph", "auto_examples/drawing/sg_execution_times", "auto_examples/external/index", "auto_examples/external/javascript_force", "auto_examples/external/plot_igraph", "auto_examples/external/sg_execution_times", "auto_examples/geospatial/extended_description", "auto_examples/geospatial/index", "auto_examples/geospatial/plot_delaunay", "auto_examples/geospatial/plot_lines", "auto_examples/geospatial/plot_osmnx", "auto_examples/geospatial/plot_points", "auto_examples/geospatial/plot_polygons", "auto_examples/geospatial/sg_execution_times", "auto_examples/graph/index", "auto_examples/graph/plot_dag_layout", "auto_examples/graph/plot_degree_sequence", "auto_examples/graph/plot_erdos_renyi", "auto_examples/graph/plot_expected_degree_sequence", "auto_examples/graph/plot_football", "auto_examples/graph/plot_karate_club", "auto_examples/graph/plot_morse_trie", "auto_examples/graph/plot_napoleon_russian_campaign", "auto_examples/graph/plot_roget", "auto_examples/graph/plot_triad_types", "auto_examples/graph/plot_words", "auto_examples/graph/sg_execution_times", "auto_examples/graphviz_drawing/index", "auto_examples/graphviz_drawing/plot_attributes", "auto_examples/graphviz_drawing/plot_conversion", "auto_examples/graphviz_drawing/plot_grid", "auto_examples/graphviz_drawing/plot_mini_atlas", "auto_examples/graphviz_drawing/sg_execution_times", "auto_examples/graphviz_layout/index", "auto_examples/graphviz_layout/plot_atlas", "auto_examples/graphviz_layout/plot_circular_tree", "auto_examples/graphviz_layout/plot_decomposition", "auto_examples/graphviz_layout/plot_giant_component", "auto_examples/graphviz_layout/plot_lanl_routes", "auto_examples/graphviz_layout/sg_execution_times", "auto_examples/index", "auto_examples/subclass/index", "auto_examples/subclass/plot_antigraph", "auto_examples/subclass/plot_printgraph", "auto_examples/subclass/sg_execution_times", "developer/about_us", "developer/code_of_conduct", "developer/contribute", "developer/core_developer", "developer/deprecations", "developer/index", "developer/new_contributor_faq", "developer/nxeps/index", "developer/nxeps/nxep-0000", "developer/nxeps/nxep-0001", "developer/nxeps/nxep-0002", "developer/nxeps/nxep-0003", "developer/nxeps/nxep-0004", "developer/nxeps/nxep-template", "developer/projects", "developer/release", "developer/roadmap", "developer/team", "developer/values", "index", "install", "reference/algorithms/approximation", "reference/algorithms/assortativity", "reference/algorithms/asteroidal", "reference/algorithms/bipartite", "reference/algorithms/boundary", "reference/algorithms/bridges", "reference/algorithms/centrality", "reference/algorithms/chains", "reference/algorithms/chordal", "reference/algorithms/clique", "reference/algorithms/clustering", "reference/algorithms/coloring", "reference/algorithms/communicability_alg", "reference/algorithms/community", "reference/algorithms/component", "reference/algorithms/connectivity", "reference/algorithms/core", "reference/algorithms/covering", "reference/algorithms/cuts", "reference/algorithms/cycles", "reference/algorithms/d_separation", "reference/algorithms/dag", "reference/algorithms/distance_measures", "reference/algorithms/distance_regular", "reference/algorithms/dominance", "reference/algorithms/dominating", "reference/algorithms/efficiency_measures", "reference/algorithms/euler", "reference/algorithms/flow", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.construct", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_components", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_subgraphs", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.analyze_symmetry", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.find_isomorphisms", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.is_isomorphic", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.isomorphisms_iter", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.largest_common_subgraph", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_is_isomorphic", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_isomorphisms_iter", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edges_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_ccw", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_cw", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_first", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_node", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_nodes_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_weighted_edges_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adj", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adjacency", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.check_structure", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.connect_components", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.copy", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.degree", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edge_subgraph", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_data", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_edge_data", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_node", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_predecessor", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_successor", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_degree", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_directed", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_multigraph", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.name", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nbunch_iter", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors_cw_order", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.next_face_half_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nodes", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_nodes", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.order", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_degree", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.pred", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.predecessors", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edges_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_node", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_nodes_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.reverse", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.set_data", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.size", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.subgraph", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.succ", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.successors", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed_class", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected_class", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.traverse_face", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.update", "reference/algorithms/generated/generated/networkx.algorithms.tree.branchings.Edmonds.find_optimum", "reference/algorithms/generated/networkx.algorithms.approximation.clique.clique_removal", "reference/algorithms/generated/networkx.algorithms.approximation.clique.large_clique_size", "reference/algorithms/generated/networkx.algorithms.approximation.clique.max_clique", "reference/algorithms/generated/networkx.algorithms.approximation.clique.maximum_independent_set", "reference/algorithms/generated/networkx.algorithms.approximation.clustering_coefficient.average_clustering", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.all_pairs_node_connectivity", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.local_node_connectivity", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.node_connectivity", "reference/algorithms/generated/networkx.algorithms.approximation.distance_measures.diameter", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_edge_dominating_set", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_weighted_dominating_set", "reference/algorithms/generated/networkx.algorithms.approximation.kcomponents.k_components", "reference/algorithms/generated/networkx.algorithms.approximation.matching.min_maximal_matching", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.one_exchange", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.randomized_partitioning", "reference/algorithms/generated/networkx.algorithms.approximation.ramsey.ramsey_R2", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.metric_closure", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.steiner_tree", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.asadpour_atsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.christofides", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.greedy_tsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.simulated_annealing_tsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.threshold_accepting_tsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.traveling_salesman_problem", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_degree", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_fill_in", "reference/algorithms/generated/networkx.algorithms.approximation.vertex_cover.min_weighted_vertex_cover", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_assortativity_coefficient", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_dict", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_matrix", "reference/algorithms/generated/networkx.algorithms.assortativity.average_degree_connectivity", "reference/algorithms/generated/networkx.algorithms.assortativity.average_neighbor_degree", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_assortativity_coefficient", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_dict", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_matrix", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_pearson_correlation_coefficient", "reference/algorithms/generated/networkx.algorithms.assortativity.mixing_dict", "reference/algorithms/generated/networkx.algorithms.assortativity.node_attribute_xy", "reference/algorithms/generated/networkx.algorithms.assortativity.node_degree_xy", "reference/algorithms/generated/networkx.algorithms.assortativity.numeric_assortativity_coefficient", "reference/algorithms/generated/networkx.algorithms.asteroidal.find_asteroidal_triple", "reference/algorithms/generated/networkx.algorithms.asteroidal.is_at_free", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.color", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.degrees", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.density", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite_node_set", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.sets", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.closeness_centrality", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.degree_centrality", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.average_clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.latapy_clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.robins_alexander_clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.covering.min_edge_cover", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.generate_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.parse_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.read_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.write_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.alternating_havel_hakimi_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.complete_bipartite_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.configuration_model", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.gnmk_random_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.havel_hakimi_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.preferential_attachment_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.random_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.reverse_havel_hakimi_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.eppstein_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.hopcroft_karp_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.maximum_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.minimum_weight_full_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.to_vertex_cover", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.biadjacency_matrix", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.from_biadjacency_matrix", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.collaboration_weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.generic_weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.overlap_weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.redundancy.node_redundancy", "reference/algorithms/generated/networkx.algorithms.bipartite.spectral.spectral_bipartivity", "reference/algorithms/generated/networkx.algorithms.boundary.edge_boundary", "reference/algorithms/generated/networkx.algorithms.boundary.node_boundary", "reference/algorithms/generated/networkx.algorithms.bridges.bridges", "reference/algorithms/generated/networkx.algorithms.bridges.has_bridges", "reference/algorithms/generated/networkx.algorithms.bridges.local_bridges", "reference/algorithms/generated/networkx.algorithms.centrality.approximate_current_flow_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.communicability_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.dispersion", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.edge_load_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality_numpy", "reference/algorithms/generated/networkx.algorithms.centrality.estrada_index", "reference/algorithms/generated/networkx.algorithms.centrality.global_reaching_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_in_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_out_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.harmonic_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.in_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.incremental_closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.information_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality_numpy", "reference/algorithms/generated/networkx.algorithms.centrality.laplacian_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.load_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.local_reaching_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.out_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.percolation_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.prominent_group", "reference/algorithms/generated/networkx.algorithms.centrality.second_order_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality_exp", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_differences", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_incoherence_parameter", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_levels", "reference/algorithms/generated/networkx.algorithms.centrality.voterank", "reference/algorithms/generated/networkx.algorithms.chains.chain_decomposition", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_cliques", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_treewidth", "reference/algorithms/generated/networkx.algorithms.chordal.complete_to_chordal_graph", "reference/algorithms/generated/networkx.algorithms.chordal.find_induced_nodes", "reference/algorithms/generated/networkx.algorithms.chordal.is_chordal", "reference/algorithms/generated/networkx.algorithms.clique.cliques_containing_node", "reference/algorithms/generated/networkx.algorithms.clique.enumerate_all_cliques", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques_recursive", "reference/algorithms/generated/networkx.algorithms.clique.graph_clique_number", "reference/algorithms/generated/networkx.algorithms.clique.graph_number_of_cliques", "reference/algorithms/generated/networkx.algorithms.clique.make_clique_bipartite", "reference/algorithms/generated/networkx.algorithms.clique.make_max_clique_graph", "reference/algorithms/generated/networkx.algorithms.clique.max_weight_clique", "reference/algorithms/generated/networkx.algorithms.clique.node_clique_number", "reference/algorithms/generated/networkx.algorithms.clique.number_of_cliques", "reference/algorithms/generated/networkx.algorithms.cluster.average_clustering", "reference/algorithms/generated/networkx.algorithms.cluster.clustering", "reference/algorithms/generated/networkx.algorithms.cluster.generalized_degree", "reference/algorithms/generated/networkx.algorithms.cluster.square_clustering", "reference/algorithms/generated/networkx.algorithms.cluster.transitivity", "reference/algorithms/generated/networkx.algorithms.cluster.triangles", "reference/algorithms/generated/networkx.algorithms.coloring.equitable_color", "reference/algorithms/generated/networkx.algorithms.coloring.greedy_color", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_bfs", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_dfs", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_independent_set", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_largest_first", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_random_sequential", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_saturation_largest_first", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_smallest_last", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability_exp", "reference/algorithms/generated/networkx.algorithms.community.asyn_fluid.asyn_fluidc", "reference/algorithms/generated/networkx.algorithms.community.centrality.girvan_newman", "reference/algorithms/generated/networkx.algorithms.community.community_utils.is_partition", "reference/algorithms/generated/networkx.algorithms.community.kclique.k_clique_communities", "reference/algorithms/generated/networkx.algorithms.community.kernighan_lin.kernighan_lin_bisection", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.asyn_lpa_communities", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.label_propagation_communities", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_communities", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_partitions", "reference/algorithms/generated/networkx.algorithms.community.lukes.lukes_partitioning", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.greedy_modularity_communities", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.naive_greedy_modularity_communities", "reference/algorithms/generated/networkx.algorithms.community.quality.modularity", "reference/algorithms/generated/networkx.algorithms.community.quality.partition_quality", "reference/algorithms/generated/networkx.algorithms.components.articulation_points", "reference/algorithms/generated/networkx.algorithms.components.attracting_components", "reference/algorithms/generated/networkx.algorithms.components.biconnected_component_edges", "reference/algorithms/generated/networkx.algorithms.components.biconnected_components", "reference/algorithms/generated/networkx.algorithms.components.condensation", "reference/algorithms/generated/networkx.algorithms.components.connected_components", "reference/algorithms/generated/networkx.algorithms.components.is_attracting_component", "reference/algorithms/generated/networkx.algorithms.components.is_biconnected", "reference/algorithms/generated/networkx.algorithms.components.is_connected", "reference/algorithms/generated/networkx.algorithms.components.is_semiconnected", "reference/algorithms/generated/networkx.algorithms.components.is_strongly_connected", "reference/algorithms/generated/networkx.algorithms.components.is_weakly_connected", "reference/algorithms/generated/networkx.algorithms.components.kosaraju_strongly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.node_connected_component", "reference/algorithms/generated/networkx.algorithms.components.number_attracting_components", "reference/algorithms/generated/networkx.algorithms.components.number_connected_components", "reference/algorithms/generated/networkx.algorithms.components.number_strongly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.number_weakly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components_recursive", "reference/algorithms/generated/networkx.algorithms.components.weakly_connected_components", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.all_pairs_node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.average_node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.edge_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_edge_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_edge_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_node_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_edge_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_node_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.edge_disjoint_paths", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.node_disjoint_paths", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_k_edge_connected", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_locally_k_edge_connected", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.bridge_components", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_components", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs", "reference/algorithms/generated/networkx.algorithms.connectivity.kcomponents.k_components", "reference/algorithms/generated/networkx.algorithms.connectivity.kcutsets.all_node_cuts", "reference/algorithms/generated/networkx.algorithms.connectivity.stoerwagner.stoer_wagner", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_edge_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_node_connectivity", "reference/algorithms/generated/networkx.algorithms.core.core_number", "reference/algorithms/generated/networkx.algorithms.core.k_core", "reference/algorithms/generated/networkx.algorithms.core.k_corona", "reference/algorithms/generated/networkx.algorithms.core.k_crust", "reference/algorithms/generated/networkx.algorithms.core.k_shell", "reference/algorithms/generated/networkx.algorithms.core.k_truss", "reference/algorithms/generated/networkx.algorithms.core.onion_layers", "reference/algorithms/generated/networkx.algorithms.covering.is_edge_cover", "reference/algorithms/generated/networkx.algorithms.covering.min_edge_cover", "reference/algorithms/generated/networkx.algorithms.cuts.boundary_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.conductance", "reference/algorithms/generated/networkx.algorithms.cuts.cut_size", "reference/algorithms/generated/networkx.algorithms.cuts.edge_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.mixing_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.node_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.normalized_cut_size", "reference/algorithms/generated/networkx.algorithms.cuts.volume", "reference/algorithms/generated/networkx.algorithms.cycles.cycle_basis", "reference/algorithms/generated/networkx.algorithms.cycles.find_cycle", "reference/algorithms/generated/networkx.algorithms.cycles.minimum_cycle_basis", "reference/algorithms/generated/networkx.algorithms.cycles.recursive_simple_cycles", "reference/algorithms/generated/networkx.algorithms.cycles.simple_cycles", "reference/algorithms/generated/networkx.algorithms.d_separation.d_separated", "reference/algorithms/generated/networkx.algorithms.dag.all_topological_sorts", "reference/algorithms/generated/networkx.algorithms.dag.ancestors", "reference/algorithms/generated/networkx.algorithms.dag.antichains", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path_length", "reference/algorithms/generated/networkx.algorithms.dag.dag_to_branching", "reference/algorithms/generated/networkx.algorithms.dag.descendants", "reference/algorithms/generated/networkx.algorithms.dag.is_aperiodic", "reference/algorithms/generated/networkx.algorithms.dag.is_directed_acyclic_graph", "reference/algorithms/generated/networkx.algorithms.dag.lexicographical_topological_sort", "reference/algorithms/generated/networkx.algorithms.dag.topological_generations", "reference/algorithms/generated/networkx.algorithms.dag.topological_sort", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure_dag", "reference/algorithms/generated/networkx.algorithms.dag.transitive_reduction", "reference/algorithms/generated/networkx.algorithms.distance_measures.barycenter", "reference/algorithms/generated/networkx.algorithms.distance_measures.center", "reference/algorithms/generated/networkx.algorithms.distance_measures.diameter", "reference/algorithms/generated/networkx.algorithms.distance_measures.eccentricity", "reference/algorithms/generated/networkx.algorithms.distance_measures.periphery", "reference/algorithms/generated/networkx.algorithms.distance_measures.radius", "reference/algorithms/generated/networkx.algorithms.distance_measures.resistance_distance", "reference/algorithms/generated/networkx.algorithms.distance_regular.global_parameters", "reference/algorithms/generated/networkx.algorithms.distance_regular.intersection_array", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_distance_regular", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_strongly_regular", "reference/algorithms/generated/networkx.algorithms.dominance.dominance_frontiers", "reference/algorithms/generated/networkx.algorithms.dominance.immediate_dominators", "reference/algorithms/generated/networkx.algorithms.dominating.dominating_set", "reference/algorithms/generated/networkx.algorithms.dominating.is_dominating_set", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.efficiency", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.global_efficiency", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.local_efficiency", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_circuit", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_path", "reference/algorithms/generated/networkx.algorithms.euler.eulerize", "reference/algorithms/generated/networkx.algorithms.euler.has_eulerian_path", "reference/algorithms/generated/networkx.algorithms.euler.is_eulerian", "reference/algorithms/generated/networkx.algorithms.euler.is_semieulerian", "reference/algorithms/generated/networkx.algorithms.flow.boykov_kolmogorov", "reference/algorithms/generated/networkx.algorithms.flow.build_residual_network", "reference/algorithms/generated/networkx.algorithms.flow.capacity_scaling", "reference/algorithms/generated/networkx.algorithms.flow.cost_of_flow", "reference/algorithms/generated/networkx.algorithms.flow.dinitz", "reference/algorithms/generated/networkx.algorithms.flow.edmonds_karp", "reference/algorithms/generated/networkx.algorithms.flow.gomory_hu_tree", "reference/algorithms/generated/networkx.algorithms.flow.max_flow_min_cost", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow_value", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow_cost", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut_value", "reference/algorithms/generated/networkx.algorithms.flow.network_simplex", "reference/algorithms/generated/networkx.algorithms.flow.preflow_push", "reference/algorithms/generated/networkx.algorithms.flow.shortest_augmenting_path", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_graph_hash", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_subgraph_hashes", "reference/algorithms/generated/networkx.algorithms.graphical.is_digraphical", "reference/algorithms/generated/networkx.algorithms.graphical.is_graphical", "reference/algorithms/generated/networkx.algorithms.graphical.is_multigraphical", "reference/algorithms/generated/networkx.algorithms.graphical.is_pseudographical", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_erdos_gallai", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_havel_hakimi", "reference/algorithms/generated/networkx.algorithms.hierarchy.flow_hierarchy", "reference/algorithms/generated/networkx.algorithms.hybrid.is_kl_connected", "reference/algorithms/generated/networkx.algorithms.hybrid.kl_connected_subgraph", "reference/algorithms/generated/networkx.algorithms.isolate.is_isolate", "reference/algorithms/generated/networkx.algorithms.isolate.isolates", "reference/algorithms/generated/networkx.algorithms.isolate.number_of_isolates", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.__init__", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.candidate_pairs_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.initialize", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.match", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.semantic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.syntactic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.__init__", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.candidate_pairs_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.initialize", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.match", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.semantic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.syntactic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.ISMAGS", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_edge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_multiedge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_node_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.could_be_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.fast_could_be_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.faster_could_be_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_edge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_multiedge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_node_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_edge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_multiedge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_node_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.rooted_tree_isomorphism", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.tree_isomorphism", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_all_isomorphisms", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_isomorphism", "reference/algorithms/generated/networkx.algorithms.link_analysis.hits_alg.hits", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.google_matrix", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.pagerank", "reference/algorithms/generated/networkx.algorithms.link_prediction.adamic_adar_index", "reference/algorithms/generated/networkx.algorithms.link_prediction.cn_soundarajan_hopcroft", "reference/algorithms/generated/networkx.algorithms.link_prediction.common_neighbor_centrality", "reference/algorithms/generated/networkx.algorithms.link_prediction.jaccard_coefficient", "reference/algorithms/generated/networkx.algorithms.link_prediction.preferential_attachment", "reference/algorithms/generated/networkx.algorithms.link_prediction.ra_index_soundarajan_hopcroft", "reference/algorithms/generated/networkx.algorithms.link_prediction.resource_allocation_index", "reference/algorithms/generated/networkx.algorithms.link_prediction.within_inter_cluster", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.all_pairs_lowest_common_ancestor", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.lowest_common_ancestor", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.tree_all_pairs_lowest_common_ancestor", "reference/algorithms/generated/networkx.algorithms.matching.is_matching", "reference/algorithms/generated/networkx.algorithms.matching.is_maximal_matching", "reference/algorithms/generated/networkx.algorithms.matching.is_perfect_matching", "reference/algorithms/generated/networkx.algorithms.matching.max_weight_matching", "reference/algorithms/generated/networkx.algorithms.matching.maximal_matching", "reference/algorithms/generated/networkx.algorithms.matching.min_weight_matching", "reference/algorithms/generated/networkx.algorithms.minors.contracted_edge", "reference/algorithms/generated/networkx.algorithms.minors.contracted_nodes", "reference/algorithms/generated/networkx.algorithms.minors.equivalence_classes", "reference/algorithms/generated/networkx.algorithms.minors.identified_nodes", "reference/algorithms/generated/networkx.algorithms.minors.quotient_graph", "reference/algorithms/generated/networkx.algorithms.mis.maximal_independent_set", "reference/algorithms/generated/networkx.algorithms.moral.moral_graph", "reference/algorithms/generated/networkx.algorithms.node_classification.harmonic_function", "reference/algorithms/generated/networkx.algorithms.node_classification.local_and_global_consistency", "reference/algorithms/generated/networkx.algorithms.non_randomness.non_randomness", "reference/algorithms/generated/networkx.algorithms.operators.all.compose_all", "reference/algorithms/generated/networkx.algorithms.operators.all.disjoint_union_all", "reference/algorithms/generated/networkx.algorithms.operators.all.intersection_all", "reference/algorithms/generated/networkx.algorithms.operators.all.union_all", "reference/algorithms/generated/networkx.algorithms.operators.binary.compose", "reference/algorithms/generated/networkx.algorithms.operators.binary.difference", "reference/algorithms/generated/networkx.algorithms.operators.binary.disjoint_union", "reference/algorithms/generated/networkx.algorithms.operators.binary.full_join", "reference/algorithms/generated/networkx.algorithms.operators.binary.intersection", "reference/algorithms/generated/networkx.algorithms.operators.binary.symmetric_difference", "reference/algorithms/generated/networkx.algorithms.operators.binary.union", "reference/algorithms/generated/networkx.algorithms.operators.product.cartesian_product", "reference/algorithms/generated/networkx.algorithms.operators.product.corona_product", "reference/algorithms/generated/networkx.algorithms.operators.product.lexicographic_product", "reference/algorithms/generated/networkx.algorithms.operators.product.power", "reference/algorithms/generated/networkx.algorithms.operators.product.rooted_product", "reference/algorithms/generated/networkx.algorithms.operators.product.strong_product", "reference/algorithms/generated/networkx.algorithms.operators.product.tensor_product", "reference/algorithms/generated/networkx.algorithms.operators.unary.complement", "reference/algorithms/generated/networkx.algorithms.operators.unary.reverse", "reference/algorithms/generated/networkx.algorithms.planar_drawing.combinatorial_embedding_to_pos", "reference/algorithms/generated/networkx.algorithms.planarity.PlanarEmbedding", "reference/algorithms/generated/networkx.algorithms.planarity.check_planarity", "reference/algorithms/generated/networkx.algorithms.planarity.is_planar", "reference/algorithms/generated/networkx.algorithms.polynomials.chromatic_polynomial", "reference/algorithms/generated/networkx.algorithms.polynomials.tutte_polynomial", "reference/algorithms/generated/networkx.algorithms.reciprocity.overall_reciprocity", "reference/algorithms/generated/networkx.algorithms.reciprocity.reciprocity", "reference/algorithms/generated/networkx.algorithms.regular.is_k_regular", "reference/algorithms/generated/networkx.algorithms.regular.is_regular", "reference/algorithms/generated/networkx.algorithms.regular.k_factor", "reference/algorithms/generated/networkx.algorithms.richclub.rich_club_coefficient", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_numpy", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_predecessor_and_distance", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.reconstruct_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.all_shortest_paths", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.average_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.has_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.bidirectional_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.predecessor", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_predecessor_and_distance", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bidirectional_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_predecessor_and_distance", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.find_negative_cycle", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.goldberg_radzik", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.johnson", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.negative_edge_cycle", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.similarity.generate_random_paths", "reference/algorithms/generated/networkx.algorithms.similarity.graph_edit_distance", "reference/algorithms/generated/networkx.algorithms.similarity.optimal_edit_paths", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_edit_paths", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_graph_edit_distance", "reference/algorithms/generated/networkx.algorithms.similarity.panther_similarity", "reference/algorithms/generated/networkx.algorithms.similarity.simrank_similarity", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_edge_paths", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_paths", "reference/algorithms/generated/networkx.algorithms.simple_paths.is_simple_path", "reference/algorithms/generated/networkx.algorithms.simple_paths.shortest_simple_paths", "reference/algorithms/generated/networkx.algorithms.smallworld.lattice_reference", "reference/algorithms/generated/networkx.algorithms.smallworld.omega", "reference/algorithms/generated/networkx.algorithms.smallworld.random_reference", "reference/algorithms/generated/networkx.algorithms.smallworld.sigma", "reference/algorithms/generated/networkx.algorithms.smetric.s_metric", "reference/algorithms/generated/networkx.algorithms.sparsifiers.spanner", "reference/algorithms/generated/networkx.algorithms.structuralholes.constraint", "reference/algorithms/generated/networkx.algorithms.structuralholes.effective_size", "reference/algorithms/generated/networkx.algorithms.structuralholes.local_constraint", "reference/algorithms/generated/networkx.algorithms.summarization.dedensify", "reference/algorithms/generated/networkx.algorithms.summarization.snap_aggregation", "reference/algorithms/generated/networkx.algorithms.swap.connected_double_edge_swap", "reference/algorithms/generated/networkx.algorithms.swap.directed_edge_swap", "reference/algorithms/generated/networkx.algorithms.swap.double_edge_swap", "reference/algorithms/generated/networkx.algorithms.threshold.find_threshold_graph", "reference/algorithms/generated/networkx.algorithms.threshold.is_threshold_graph", "reference/algorithms/generated/networkx.algorithms.tournament.hamiltonian_path", "reference/algorithms/generated/networkx.algorithms.tournament.is_reachable", "reference/algorithms/generated/networkx.algorithms.tournament.is_strongly_connected", "reference/algorithms/generated/networkx.algorithms.tournament.is_tournament", "reference/algorithms/generated/networkx.algorithms.tournament.random_tournament", "reference/algorithms/generated/networkx.algorithms.tournament.score_sequence", "reference/algorithms/generated/networkx.algorithms.traversal.beamsearch.bfs_beam_edges", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_layers", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_predecessors", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_successors", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_tree", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.descendants_at_distance", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_edges", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_labeled_edges", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_postorder_nodes", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_predecessors", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_preorder_nodes", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_successors", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_tree", "reference/algorithms/generated/networkx.algorithms.traversal.edgebfs.edge_bfs", "reference/algorithms/generated/networkx.algorithms.traversal.edgedfs.edge_dfs", "reference/algorithms/generated/networkx.algorithms.tree.branchings.ArborescenceIterator", "reference/algorithms/generated/networkx.algorithms.tree.branchings.Edmonds", "reference/algorithms/generated/networkx.algorithms.tree.branchings.branching_weight", "reference/algorithms/generated/networkx.algorithms.tree.branchings.greedy_branching", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_branching", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_spanning_arborescence", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_branching", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_spanning_arborescence", "reference/algorithms/generated/networkx.algorithms.tree.coding.NotATree", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_nested_tuple", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_prufer_sequence", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_nested_tuple", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_prufer_sequence", "reference/algorithms/generated/networkx.algorithms.tree.decomposition.junction_tree", "reference/algorithms/generated/networkx.algorithms.tree.mst.SpanningTreeIterator", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_edges", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_tree", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_edges", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_tree", "reference/algorithms/generated/networkx.algorithms.tree.mst.random_spanning_tree", "reference/algorithms/generated/networkx.algorithms.tree.operations.join", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_arborescence", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_branching", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_forest", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_tree", "reference/algorithms/generated/networkx.algorithms.triads.all_triads", "reference/algorithms/generated/networkx.algorithms.triads.all_triplets", "reference/algorithms/generated/networkx.algorithms.triads.is_triad", "reference/algorithms/generated/networkx.algorithms.triads.random_triad", "reference/algorithms/generated/networkx.algorithms.triads.triad_type", "reference/algorithms/generated/networkx.algorithms.triads.triadic_census", "reference/algorithms/generated/networkx.algorithms.triads.triads_by_type", "reference/algorithms/generated/networkx.algorithms.vitality.closeness_vitality", "reference/algorithms/generated/networkx.algorithms.voronoi.voronoi_cells", "reference/algorithms/generated/networkx.algorithms.wiener.wiener_index", "reference/algorithms/graph_hashing", "reference/algorithms/graphical", "reference/algorithms/hierarchy", "reference/algorithms/hybrid", "reference/algorithms/index", "reference/algorithms/isolates", "reference/algorithms/isomorphism", "reference/algorithms/isomorphism.ismags", "reference/algorithms/isomorphism.vf2", "reference/algorithms/link_analysis", "reference/algorithms/link_prediction", "reference/algorithms/lowest_common_ancestors", "reference/algorithms/matching", "reference/algorithms/minors", "reference/algorithms/mis", "reference/algorithms/moral", "reference/algorithms/node_classification", "reference/algorithms/non_randomness", "reference/algorithms/operators", "reference/algorithms/planar_drawing", "reference/algorithms/planarity", "reference/algorithms/polynomials", "reference/algorithms/reciprocity", "reference/algorithms/regular", "reference/algorithms/rich_club", "reference/algorithms/shortest_paths", "reference/algorithms/similarity", "reference/algorithms/simple_paths", "reference/algorithms/smallworld", "reference/algorithms/smetric", "reference/algorithms/sparsifiers", "reference/algorithms/structuralholes", "reference/algorithms/summarization", "reference/algorithms/swap", "reference/algorithms/threshold", "reference/algorithms/tournament", "reference/algorithms/traversal", "reference/algorithms/tree", "reference/algorithms/triads", "reference/algorithms/vitality", "reference/algorithms/voronoi", "reference/algorithms/wiener", "reference/classes/digraph", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.copy", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.get", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.items", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.keys", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.values", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.copy", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.get", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.items", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.keys", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.values", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.copy", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.get", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.items", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.keys", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.values", "reference/classes/generated/networkx.DiGraph.__contains__", "reference/classes/generated/networkx.DiGraph.__getitem__", "reference/classes/generated/networkx.DiGraph.__init__", "reference/classes/generated/networkx.DiGraph.__iter__", "reference/classes/generated/networkx.DiGraph.__len__", "reference/classes/generated/networkx.DiGraph.add_edge", "reference/classes/generated/networkx.DiGraph.add_edges_from", "reference/classes/generated/networkx.DiGraph.add_node", "reference/classes/generated/networkx.DiGraph.add_nodes_from", "reference/classes/generated/networkx.DiGraph.add_weighted_edges_from", "reference/classes/generated/networkx.DiGraph.adj", "reference/classes/generated/networkx.DiGraph.adjacency", "reference/classes/generated/networkx.DiGraph.clear", "reference/classes/generated/networkx.DiGraph.clear_edges", "reference/classes/generated/networkx.DiGraph.copy", "reference/classes/generated/networkx.DiGraph.degree", "reference/classes/generated/networkx.DiGraph.edge_subgraph", "reference/classes/generated/networkx.DiGraph.edges", "reference/classes/generated/networkx.DiGraph.get_edge_data", "reference/classes/generated/networkx.DiGraph.has_edge", "reference/classes/generated/networkx.DiGraph.has_node", "reference/classes/generated/networkx.DiGraph.in_degree", "reference/classes/generated/networkx.DiGraph.in_edges", "reference/classes/generated/networkx.DiGraph.nbunch_iter", "reference/classes/generated/networkx.DiGraph.neighbors", "reference/classes/generated/networkx.DiGraph.nodes", "reference/classes/generated/networkx.DiGraph.number_of_edges", "reference/classes/generated/networkx.DiGraph.number_of_nodes", "reference/classes/generated/networkx.DiGraph.order", "reference/classes/generated/networkx.DiGraph.out_degree", "reference/classes/generated/networkx.DiGraph.out_edges", "reference/classes/generated/networkx.DiGraph.pred", "reference/classes/generated/networkx.DiGraph.predecessors", "reference/classes/generated/networkx.DiGraph.remove_edge", "reference/classes/generated/networkx.DiGraph.remove_edges_from", "reference/classes/generated/networkx.DiGraph.remove_node", "reference/classes/generated/networkx.DiGraph.remove_nodes_from", "reference/classes/generated/networkx.DiGraph.reverse", "reference/classes/generated/networkx.DiGraph.size", "reference/classes/generated/networkx.DiGraph.subgraph", "reference/classes/generated/networkx.DiGraph.succ", "reference/classes/generated/networkx.DiGraph.successors", "reference/classes/generated/networkx.DiGraph.to_directed", "reference/classes/generated/networkx.DiGraph.to_undirected", "reference/classes/generated/networkx.DiGraph.update", "reference/classes/generated/networkx.Graph.__contains__", "reference/classes/generated/networkx.Graph.__getitem__", "reference/classes/generated/networkx.Graph.__init__", "reference/classes/generated/networkx.Graph.__iter__", "reference/classes/generated/networkx.Graph.__len__", "reference/classes/generated/networkx.Graph.add_edge", "reference/classes/generated/networkx.Graph.add_edges_from", "reference/classes/generated/networkx.Graph.add_node", "reference/classes/generated/networkx.Graph.add_nodes_from", "reference/classes/generated/networkx.Graph.add_weighted_edges_from", "reference/classes/generated/networkx.Graph.adj", "reference/classes/generated/networkx.Graph.adjacency", "reference/classes/generated/networkx.Graph.clear", "reference/classes/generated/networkx.Graph.clear_edges", "reference/classes/generated/networkx.Graph.copy", "reference/classes/generated/networkx.Graph.degree", "reference/classes/generated/networkx.Graph.edge_subgraph", "reference/classes/generated/networkx.Graph.edges", "reference/classes/generated/networkx.Graph.get_edge_data", "reference/classes/generated/networkx.Graph.has_edge", "reference/classes/generated/networkx.Graph.has_node", "reference/classes/generated/networkx.Graph.nbunch_iter", "reference/classes/generated/networkx.Graph.neighbors", "reference/classes/generated/networkx.Graph.nodes", "reference/classes/generated/networkx.Graph.number_of_edges", "reference/classes/generated/networkx.Graph.number_of_nodes", "reference/classes/generated/networkx.Graph.order", "reference/classes/generated/networkx.Graph.remove_edge", "reference/classes/generated/networkx.Graph.remove_edges_from", "reference/classes/generated/networkx.Graph.remove_node", "reference/classes/generated/networkx.Graph.remove_nodes_from", "reference/classes/generated/networkx.Graph.size", "reference/classes/generated/networkx.Graph.subgraph", "reference/classes/generated/networkx.Graph.to_directed", "reference/classes/generated/networkx.Graph.to_undirected", "reference/classes/generated/networkx.Graph.update", "reference/classes/generated/networkx.MultiDiGraph.__contains__", "reference/classes/generated/networkx.MultiDiGraph.__getitem__", "reference/classes/generated/networkx.MultiDiGraph.__init__", "reference/classes/generated/networkx.MultiDiGraph.__iter__", "reference/classes/generated/networkx.MultiDiGraph.__len__", "reference/classes/generated/networkx.MultiDiGraph.add_edge", "reference/classes/generated/networkx.MultiDiGraph.add_edges_from", "reference/classes/generated/networkx.MultiDiGraph.add_node", "reference/classes/generated/networkx.MultiDiGraph.add_nodes_from", "reference/classes/generated/networkx.MultiDiGraph.add_weighted_edges_from", "reference/classes/generated/networkx.MultiDiGraph.adj", "reference/classes/generated/networkx.MultiDiGraph.adjacency", "reference/classes/generated/networkx.MultiDiGraph.clear", "reference/classes/generated/networkx.MultiDiGraph.clear_edges", "reference/classes/generated/networkx.MultiDiGraph.copy", "reference/classes/generated/networkx.MultiDiGraph.degree", "reference/classes/generated/networkx.MultiDiGraph.edge_subgraph", "reference/classes/generated/networkx.MultiDiGraph.edges", "reference/classes/generated/networkx.MultiDiGraph.get_edge_data", "reference/classes/generated/networkx.MultiDiGraph.has_edge", "reference/classes/generated/networkx.MultiDiGraph.has_node", "reference/classes/generated/networkx.MultiDiGraph.in_degree", "reference/classes/generated/networkx.MultiDiGraph.in_edges", "reference/classes/generated/networkx.MultiDiGraph.nbunch_iter", "reference/classes/generated/networkx.MultiDiGraph.neighbors", "reference/classes/generated/networkx.MultiDiGraph.new_edge_key", "reference/classes/generated/networkx.MultiDiGraph.nodes", "reference/classes/generated/networkx.MultiDiGraph.number_of_edges", "reference/classes/generated/networkx.MultiDiGraph.number_of_nodes", "reference/classes/generated/networkx.MultiDiGraph.order", "reference/classes/generated/networkx.MultiDiGraph.out_degree", "reference/classes/generated/networkx.MultiDiGraph.out_edges", "reference/classes/generated/networkx.MultiDiGraph.pred", "reference/classes/generated/networkx.MultiDiGraph.predecessors", "reference/classes/generated/networkx.MultiDiGraph.remove_edge", "reference/classes/generated/networkx.MultiDiGraph.remove_edges_from", "reference/classes/generated/networkx.MultiDiGraph.remove_node", "reference/classes/generated/networkx.MultiDiGraph.remove_nodes_from", "reference/classes/generated/networkx.MultiDiGraph.reverse", "reference/classes/generated/networkx.MultiDiGraph.size", "reference/classes/generated/networkx.MultiDiGraph.subgraph", "reference/classes/generated/networkx.MultiDiGraph.succ", "reference/classes/generated/networkx.MultiDiGraph.successors", "reference/classes/generated/networkx.MultiDiGraph.to_directed", "reference/classes/generated/networkx.MultiDiGraph.to_undirected", "reference/classes/generated/networkx.MultiDiGraph.update", "reference/classes/generated/networkx.MultiGraph.__contains__", "reference/classes/generated/networkx.MultiGraph.__getitem__", "reference/classes/generated/networkx.MultiGraph.__init__", "reference/classes/generated/networkx.MultiGraph.__iter__", "reference/classes/generated/networkx.MultiGraph.__len__", "reference/classes/generated/networkx.MultiGraph.add_edge", "reference/classes/generated/networkx.MultiGraph.add_edges_from", "reference/classes/generated/networkx.MultiGraph.add_node", "reference/classes/generated/networkx.MultiGraph.add_nodes_from", "reference/classes/generated/networkx.MultiGraph.add_weighted_edges_from", "reference/classes/generated/networkx.MultiGraph.adj", "reference/classes/generated/networkx.MultiGraph.adjacency", "reference/classes/generated/networkx.MultiGraph.clear", "reference/classes/generated/networkx.MultiGraph.clear_edges", "reference/classes/generated/networkx.MultiGraph.copy", "reference/classes/generated/networkx.MultiGraph.degree", "reference/classes/generated/networkx.MultiGraph.edge_subgraph", "reference/classes/generated/networkx.MultiGraph.edges", "reference/classes/generated/networkx.MultiGraph.get_edge_data", "reference/classes/generated/networkx.MultiGraph.has_edge", "reference/classes/generated/networkx.MultiGraph.has_node", "reference/classes/generated/networkx.MultiGraph.nbunch_iter", "reference/classes/generated/networkx.MultiGraph.neighbors", "reference/classes/generated/networkx.MultiGraph.new_edge_key", "reference/classes/generated/networkx.MultiGraph.nodes", "reference/classes/generated/networkx.MultiGraph.number_of_edges", "reference/classes/generated/networkx.MultiGraph.number_of_nodes", "reference/classes/generated/networkx.MultiGraph.order", "reference/classes/generated/networkx.MultiGraph.remove_edge", "reference/classes/generated/networkx.MultiGraph.remove_edges_from", "reference/classes/generated/networkx.MultiGraph.remove_node", "reference/classes/generated/networkx.MultiGraph.remove_nodes_from", "reference/classes/generated/networkx.MultiGraph.size", "reference/classes/generated/networkx.MultiGraph.subgraph", "reference/classes/generated/networkx.MultiGraph.to_directed", "reference/classes/generated/networkx.MultiGraph.to_undirected", "reference/classes/generated/networkx.MultiGraph.update", "reference/classes/generated/networkx.classes.backends._dispatch", "reference/classes/generated/networkx.classes.coreviews.AdjacencyView", "reference/classes/generated/networkx.classes.coreviews.AtlasView", "reference/classes/generated/networkx.classes.coreviews.FilterAdjacency", "reference/classes/generated/networkx.classes.coreviews.FilterAtlas", "reference/classes/generated/networkx.classes.coreviews.FilterMultiAdjacency", "reference/classes/generated/networkx.classes.coreviews.FilterMultiInner", "reference/classes/generated/networkx.classes.coreviews.MultiAdjacencyView", "reference/classes/generated/networkx.classes.coreviews.UnionAdjacency", "reference/classes/generated/networkx.classes.coreviews.UnionAtlas", "reference/classes/generated/networkx.classes.coreviews.UnionMultiAdjacency", "reference/classes/generated/networkx.classes.coreviews.UnionMultiInner", "reference/classes/generated/networkx.classes.filters.hide_diedges", "reference/classes/generated/networkx.classes.filters.hide_edges", "reference/classes/generated/networkx.classes.filters.hide_multidiedges", "reference/classes/generated/networkx.classes.filters.hide_multiedges", "reference/classes/generated/networkx.classes.filters.hide_nodes", "reference/classes/generated/networkx.classes.filters.no_filter", "reference/classes/generated/networkx.classes.filters.show_diedges", "reference/classes/generated/networkx.classes.filters.show_edges", "reference/classes/generated/networkx.classes.filters.show_multidiedges", "reference/classes/generated/networkx.classes.filters.show_multiedges", "reference/classes/generated/networkx.classes.filters.show_nodes", "reference/classes/generated/networkx.classes.graphviews.generic_graph_view", "reference/classes/generated/networkx.classes.graphviews.reverse_view", "reference/classes/generated/networkx.classes.graphviews.subgraph_view", "reference/classes/graph", "reference/classes/index", "reference/classes/multidigraph", "reference/classes/multigraph", "reference/convert", "reference/drawing", "reference/exceptions", "reference/functions", "reference/generated/generated/networkx.utils.decorators.argmap.assemble", "reference/generated/generated/networkx.utils.decorators.argmap.compile", "reference/generated/generated/networkx.utils.decorators.argmap.signature", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.pop", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.push", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.remove", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.update", "reference/generated/networkx.classes.function.add_cycle", "reference/generated/networkx.classes.function.add_path", "reference/generated/networkx.classes.function.add_star", "reference/generated/networkx.classes.function.all_neighbors", "reference/generated/networkx.classes.function.common_neighbors", "reference/generated/networkx.classes.function.create_empty_copy", "reference/generated/networkx.classes.function.degree", "reference/generated/networkx.classes.function.degree_histogram", "reference/generated/networkx.classes.function.density", "reference/generated/networkx.classes.function.edge_subgraph", "reference/generated/networkx.classes.function.edges", "reference/generated/networkx.classes.function.freeze", "reference/generated/networkx.classes.function.get_edge_attributes", "reference/generated/networkx.classes.function.get_node_attributes", "reference/generated/networkx.classes.function.induced_subgraph", "reference/generated/networkx.classes.function.is_directed", "reference/generated/networkx.classes.function.is_empty", "reference/generated/networkx.classes.function.is_frozen", "reference/generated/networkx.classes.function.is_negatively_weighted", "reference/generated/networkx.classes.function.is_path", "reference/generated/networkx.classes.function.is_weighted", "reference/generated/networkx.classes.function.neighbors", "reference/generated/networkx.classes.function.nodes", "reference/generated/networkx.classes.function.nodes_with_selfloops", "reference/generated/networkx.classes.function.non_edges", "reference/generated/networkx.classes.function.non_neighbors", "reference/generated/networkx.classes.function.number_of_edges", "reference/generated/networkx.classes.function.number_of_nodes", "reference/generated/networkx.classes.function.number_of_selfloops", "reference/generated/networkx.classes.function.path_weight", "reference/generated/networkx.classes.function.restricted_view", "reference/generated/networkx.classes.function.reverse_view", "reference/generated/networkx.classes.function.selfloop_edges", "reference/generated/networkx.classes.function.set_edge_attributes", "reference/generated/networkx.classes.function.set_node_attributes", "reference/generated/networkx.classes.function.subgraph", "reference/generated/networkx.classes.function.subgraph_view", "reference/generated/networkx.classes.function.to_directed", "reference/generated/networkx.classes.function.to_undirected", "reference/generated/networkx.convert.from_dict_of_dicts", "reference/generated/networkx.convert.from_dict_of_lists", "reference/generated/networkx.convert.from_edgelist", "reference/generated/networkx.convert.to_dict_of_dicts", "reference/generated/networkx.convert.to_dict_of_lists", "reference/generated/networkx.convert.to_edgelist", "reference/generated/networkx.convert.to_networkx_graph", "reference/generated/networkx.convert_matrix.from_numpy_array", "reference/generated/networkx.convert_matrix.from_pandas_adjacency", "reference/generated/networkx.convert_matrix.from_pandas_edgelist", "reference/generated/networkx.convert_matrix.from_scipy_sparse_array", "reference/generated/networkx.convert_matrix.to_numpy_array", "reference/generated/networkx.convert_matrix.to_pandas_adjacency", "reference/generated/networkx.convert_matrix.to_pandas_edgelist", "reference/generated/networkx.convert_matrix.to_scipy_sparse_array", "reference/generated/networkx.drawing.layout.bipartite_layout", "reference/generated/networkx.drawing.layout.circular_layout", "reference/generated/networkx.drawing.layout.kamada_kawai_layout", "reference/generated/networkx.drawing.layout.multipartite_layout", "reference/generated/networkx.drawing.layout.planar_layout", "reference/generated/networkx.drawing.layout.random_layout", "reference/generated/networkx.drawing.layout.rescale_layout", "reference/generated/networkx.drawing.layout.rescale_layout_dict", "reference/generated/networkx.drawing.layout.shell_layout", "reference/generated/networkx.drawing.layout.spectral_layout", "reference/generated/networkx.drawing.layout.spiral_layout", "reference/generated/networkx.drawing.layout.spring_layout", "reference/generated/networkx.drawing.nx_agraph.from_agraph", "reference/generated/networkx.drawing.nx_agraph.graphviz_layout", "reference/generated/networkx.drawing.nx_agraph.pygraphviz_layout", "reference/generated/networkx.drawing.nx_agraph.read_dot", "reference/generated/networkx.drawing.nx_agraph.to_agraph", "reference/generated/networkx.drawing.nx_agraph.write_dot", "reference/generated/networkx.drawing.nx_latex.to_latex", "reference/generated/networkx.drawing.nx_latex.to_latex_raw", "reference/generated/networkx.drawing.nx_latex.write_latex", "reference/generated/networkx.drawing.nx_pydot.from_pydot", "reference/generated/networkx.drawing.nx_pydot.graphviz_layout", "reference/generated/networkx.drawing.nx_pydot.pydot_layout", "reference/generated/networkx.drawing.nx_pydot.read_dot", "reference/generated/networkx.drawing.nx_pydot.to_pydot", "reference/generated/networkx.drawing.nx_pydot.write_dot", "reference/generated/networkx.drawing.nx_pylab.draw", "reference/generated/networkx.drawing.nx_pylab.draw_circular", "reference/generated/networkx.drawing.nx_pylab.draw_kamada_kawai", "reference/generated/networkx.drawing.nx_pylab.draw_networkx", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edge_labels", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edges", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_labels", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_nodes", "reference/generated/networkx.drawing.nx_pylab.draw_planar", "reference/generated/networkx.drawing.nx_pylab.draw_random", "reference/generated/networkx.drawing.nx_pylab.draw_shell", "reference/generated/networkx.drawing.nx_pylab.draw_spectral", "reference/generated/networkx.drawing.nx_pylab.draw_spring", "reference/generated/networkx.generators.atlas.graph_atlas", "reference/generated/networkx.generators.atlas.graph_atlas_g", "reference/generated/networkx.generators.classic.balanced_tree", "reference/generated/networkx.generators.classic.barbell_graph", "reference/generated/networkx.generators.classic.binomial_tree", "reference/generated/networkx.generators.classic.circulant_graph", "reference/generated/networkx.generators.classic.circular_ladder_graph", "reference/generated/networkx.generators.classic.complete_graph", "reference/generated/networkx.generators.classic.complete_multipartite_graph", "reference/generated/networkx.generators.classic.cycle_graph", "reference/generated/networkx.generators.classic.dorogovtsev_goltsev_mendes_graph", "reference/generated/networkx.generators.classic.empty_graph", "reference/generated/networkx.generators.classic.full_rary_tree", "reference/generated/networkx.generators.classic.ladder_graph", "reference/generated/networkx.generators.classic.lollipop_graph", "reference/generated/networkx.generators.classic.null_graph", "reference/generated/networkx.generators.classic.path_graph", "reference/generated/networkx.generators.classic.star_graph", "reference/generated/networkx.generators.classic.trivial_graph", "reference/generated/networkx.generators.classic.turan_graph", "reference/generated/networkx.generators.classic.wheel_graph", "reference/generated/networkx.generators.cographs.random_cograph", "reference/generated/networkx.generators.community.LFR_benchmark_graph", "reference/generated/networkx.generators.community.caveman_graph", "reference/generated/networkx.generators.community.connected_caveman_graph", "reference/generated/networkx.generators.community.gaussian_random_partition_graph", "reference/generated/networkx.generators.community.planted_partition_graph", "reference/generated/networkx.generators.community.random_partition_graph", "reference/generated/networkx.generators.community.relaxed_caveman_graph", "reference/generated/networkx.generators.community.ring_of_cliques", "reference/generated/networkx.generators.community.stochastic_block_model", "reference/generated/networkx.generators.community.windmill_graph", "reference/generated/networkx.generators.degree_seq.configuration_model", "reference/generated/networkx.generators.degree_seq.degree_sequence_tree", "reference/generated/networkx.generators.degree_seq.directed_configuration_model", "reference/generated/networkx.generators.degree_seq.directed_havel_hakimi_graph", "reference/generated/networkx.generators.degree_seq.expected_degree_graph", "reference/generated/networkx.generators.degree_seq.havel_hakimi_graph", "reference/generated/networkx.generators.degree_seq.random_degree_sequence_graph", "reference/generated/networkx.generators.directed.gn_graph", "reference/generated/networkx.generators.directed.gnc_graph", "reference/generated/networkx.generators.directed.gnr_graph", "reference/generated/networkx.generators.directed.random_k_out_graph", "reference/generated/networkx.generators.directed.scale_free_graph", "reference/generated/networkx.generators.duplication.duplication_divergence_graph", "reference/generated/networkx.generators.duplication.partial_duplication_graph", "reference/generated/networkx.generators.ego.ego_graph", "reference/generated/networkx.generators.expanders.chordal_cycle_graph", "reference/generated/networkx.generators.expanders.margulis_gabber_galil_graph", "reference/generated/networkx.generators.expanders.paley_graph", "reference/generated/networkx.generators.geometric.geographical_threshold_graph", "reference/generated/networkx.generators.geometric.geometric_edges", "reference/generated/networkx.generators.geometric.navigable_small_world_graph", "reference/generated/networkx.generators.geometric.random_geometric_graph", "reference/generated/networkx.generators.geometric.soft_random_geometric_graph", "reference/generated/networkx.generators.geometric.thresholded_random_geometric_graph", "reference/generated/networkx.generators.geometric.waxman_graph", "reference/generated/networkx.generators.harary_graph.hkn_harary_graph", "reference/generated/networkx.generators.harary_graph.hnm_harary_graph", "reference/generated/networkx.generators.internet_as_graphs.random_internet_as_graph", "reference/generated/networkx.generators.intersection.general_random_intersection_graph", "reference/generated/networkx.generators.intersection.k_random_intersection_graph", "reference/generated/networkx.generators.intersection.uniform_random_intersection_graph", "reference/generated/networkx.generators.interval_graph.interval_graph", "reference/generated/networkx.generators.joint_degree_seq.directed_joint_degree_graph", "reference/generated/networkx.generators.joint_degree_seq.is_valid_directed_joint_degree", "reference/generated/networkx.generators.joint_degree_seq.is_valid_joint_degree", "reference/generated/networkx.generators.joint_degree_seq.joint_degree_graph", "reference/generated/networkx.generators.lattice.grid_2d_graph", "reference/generated/networkx.generators.lattice.grid_graph", "reference/generated/networkx.generators.lattice.hexagonal_lattice_graph", "reference/generated/networkx.generators.lattice.hypercube_graph", "reference/generated/networkx.generators.lattice.triangular_lattice_graph", "reference/generated/networkx.generators.line.inverse_line_graph", "reference/generated/networkx.generators.line.line_graph", "reference/generated/networkx.generators.mycielski.mycielski_graph", "reference/generated/networkx.generators.mycielski.mycielskian", "reference/generated/networkx.generators.nonisomorphic_trees.nonisomorphic_trees", "reference/generated/networkx.generators.nonisomorphic_trees.number_of_nonisomorphic_trees", "reference/generated/networkx.generators.random_clustered.random_clustered_graph", "reference/generated/networkx.generators.random_graphs.barabasi_albert_graph", "reference/generated/networkx.generators.random_graphs.binomial_graph", "reference/generated/networkx.generators.random_graphs.connected_watts_strogatz_graph", "reference/generated/networkx.generators.random_graphs.dense_gnm_random_graph", "reference/generated/networkx.generators.random_graphs.dual_barabasi_albert_graph", "reference/generated/networkx.generators.random_graphs.erdos_renyi_graph", "reference/generated/networkx.generators.random_graphs.extended_barabasi_albert_graph", "reference/generated/networkx.generators.random_graphs.fast_gnp_random_graph", "reference/generated/networkx.generators.random_graphs.gnm_random_graph", "reference/generated/networkx.generators.random_graphs.gnp_random_graph", "reference/generated/networkx.generators.random_graphs.newman_watts_strogatz_graph", "reference/generated/networkx.generators.random_graphs.powerlaw_cluster_graph", "reference/generated/networkx.generators.random_graphs.random_kernel_graph", "reference/generated/networkx.generators.random_graphs.random_lobster", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree_sequence", "reference/generated/networkx.generators.random_graphs.random_regular_graph", "reference/generated/networkx.generators.random_graphs.random_shell_graph", "reference/generated/networkx.generators.random_graphs.watts_strogatz_graph", "reference/generated/networkx.generators.small.LCF_graph", "reference/generated/networkx.generators.small.bull_graph", "reference/generated/networkx.generators.small.chvatal_graph", "reference/generated/networkx.generators.small.cubical_graph", "reference/generated/networkx.generators.small.desargues_graph", "reference/generated/networkx.generators.small.diamond_graph", "reference/generated/networkx.generators.small.dodecahedral_graph", "reference/generated/networkx.generators.small.frucht_graph", "reference/generated/networkx.generators.small.heawood_graph", "reference/generated/networkx.generators.small.hoffman_singleton_graph", "reference/generated/networkx.generators.small.house_graph", "reference/generated/networkx.generators.small.house_x_graph", "reference/generated/networkx.generators.small.icosahedral_graph", "reference/generated/networkx.generators.small.krackhardt_kite_graph", "reference/generated/networkx.generators.small.moebius_kantor_graph", "reference/generated/networkx.generators.small.octahedral_graph", "reference/generated/networkx.generators.small.pappus_graph", "reference/generated/networkx.generators.small.petersen_graph", "reference/generated/networkx.generators.small.sedgewick_maze_graph", "reference/generated/networkx.generators.small.tetrahedral_graph", "reference/generated/networkx.generators.small.truncated_cube_graph", "reference/generated/networkx.generators.small.truncated_tetrahedron_graph", "reference/generated/networkx.generators.small.tutte_graph", "reference/generated/networkx.generators.social.davis_southern_women_graph", "reference/generated/networkx.generators.social.florentine_families_graph", "reference/generated/networkx.generators.social.karate_club_graph", "reference/generated/networkx.generators.social.les_miserables_graph", "reference/generated/networkx.generators.spectral_graph_forge.spectral_graph_forge", "reference/generated/networkx.generators.stochastic.stochastic_graph", "reference/generated/networkx.generators.sudoku.sudoku_graph", "reference/generated/networkx.generators.trees.prefix_tree", "reference/generated/networkx.generators.trees.random_tree", "reference/generated/networkx.generators.triads.triad_graph", "reference/generated/networkx.linalg.algebraicconnectivity.algebraic_connectivity", "reference/generated/networkx.linalg.algebraicconnectivity.fiedler_vector", "reference/generated/networkx.linalg.algebraicconnectivity.spectral_ordering", "reference/generated/networkx.linalg.attrmatrix.attr_matrix", "reference/generated/networkx.linalg.attrmatrix.attr_sparse_matrix", "reference/generated/networkx.linalg.bethehessianmatrix.bethe_hessian_matrix", "reference/generated/networkx.linalg.graphmatrix.adjacency_matrix", "reference/generated/networkx.linalg.graphmatrix.incidence_matrix", "reference/generated/networkx.linalg.laplacianmatrix.directed_combinatorial_laplacian_matrix", "reference/generated/networkx.linalg.laplacianmatrix.directed_laplacian_matrix", "reference/generated/networkx.linalg.laplacianmatrix.laplacian_matrix", "reference/generated/networkx.linalg.laplacianmatrix.normalized_laplacian_matrix", "reference/generated/networkx.linalg.modularitymatrix.directed_modularity_matrix", "reference/generated/networkx.linalg.modularitymatrix.modularity_matrix", "reference/generated/networkx.linalg.spectrum.adjacency_spectrum", "reference/generated/networkx.linalg.spectrum.bethe_hessian_spectrum", "reference/generated/networkx.linalg.spectrum.laplacian_spectrum", "reference/generated/networkx.linalg.spectrum.modularity_spectrum", "reference/generated/networkx.linalg.spectrum.normalized_laplacian_spectrum", "reference/generated/networkx.relabel.convert_node_labels_to_integers", "reference/generated/networkx.relabel.relabel_nodes", "reference/generated/networkx.utils.decorators.argmap", "reference/generated/networkx.utils.decorators.nodes_or_number", "reference/generated/networkx.utils.decorators.not_implemented_for", "reference/generated/networkx.utils.decorators.np_random_state", "reference/generated/networkx.utils.decorators.open_file", "reference/generated/networkx.utils.decorators.py_random_state", "reference/generated/networkx.utils.mapped_queue.MappedQueue", "reference/generated/networkx.utils.misc.arbitrary_element", "reference/generated/networkx.utils.misc.create_py_random_state", "reference/generated/networkx.utils.misc.create_random_state", "reference/generated/networkx.utils.misc.dict_to_numpy_array", "reference/generated/networkx.utils.misc.edges_equal", "reference/generated/networkx.utils.misc.flatten", "reference/generated/networkx.utils.misc.graphs_equal", "reference/generated/networkx.utils.misc.groups", "reference/generated/networkx.utils.misc.make_list_of_ints", "reference/generated/networkx.utils.misc.nodes_equal", "reference/generated/networkx.utils.misc.pairwise", "reference/generated/networkx.utils.random_sequence.cumulative_distribution", "reference/generated/networkx.utils.random_sequence.discrete_sequence", "reference/generated/networkx.utils.random_sequence.powerlaw_sequence", "reference/generated/networkx.utils.random_sequence.random_weighted_sample", "reference/generated/networkx.utils.random_sequence.weighted_choice", "reference/generated/networkx.utils.random_sequence.zipf_rv", "reference/generated/networkx.utils.rcm.cuthill_mckee_ordering", "reference/generated/networkx.utils.rcm.reverse_cuthill_mckee_ordering", "reference/generated/networkx.utils.union_find.UnionFind.union", "reference/generators", "reference/glossary", "reference/index", "reference/introduction", "reference/linalg", "reference/randomness", "reference/readwrite/adjlist", "reference/readwrite/edgelist", "reference/readwrite/generated/networkx.readwrite.adjlist.generate_adjlist", "reference/readwrite/generated/networkx.readwrite.adjlist.parse_adjlist", "reference/readwrite/generated/networkx.readwrite.adjlist.read_adjlist", "reference/readwrite/generated/networkx.readwrite.adjlist.write_adjlist", "reference/readwrite/generated/networkx.readwrite.edgelist.generate_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.parse_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.read_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.read_weighted_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.write_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.write_weighted_edgelist", "reference/readwrite/generated/networkx.readwrite.gexf.generate_gexf", "reference/readwrite/generated/networkx.readwrite.gexf.read_gexf", "reference/readwrite/generated/networkx.readwrite.gexf.relabel_gexf_graph", "reference/readwrite/generated/networkx.readwrite.gexf.write_gexf", "reference/readwrite/generated/networkx.readwrite.gml.generate_gml", "reference/readwrite/generated/networkx.readwrite.gml.literal_destringizer", "reference/readwrite/generated/networkx.readwrite.gml.literal_stringizer", "reference/readwrite/generated/networkx.readwrite.gml.parse_gml", "reference/readwrite/generated/networkx.readwrite.gml.read_gml", "reference/readwrite/generated/networkx.readwrite.gml.write_gml", "reference/readwrite/generated/networkx.readwrite.graph6.from_graph6_bytes", "reference/readwrite/generated/networkx.readwrite.graph6.read_graph6", "reference/readwrite/generated/networkx.readwrite.graph6.to_graph6_bytes", "reference/readwrite/generated/networkx.readwrite.graph6.write_graph6", "reference/readwrite/generated/networkx.readwrite.graphml.generate_graphml", "reference/readwrite/generated/networkx.readwrite.graphml.parse_graphml", "reference/readwrite/generated/networkx.readwrite.graphml.read_graphml", "reference/readwrite/generated/networkx.readwrite.graphml.write_graphml", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_data", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_graph", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_data", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_graph", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_data", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_graph", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_data", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_graph", "reference/readwrite/generated/networkx.readwrite.leda.parse_leda", "reference/readwrite/generated/networkx.readwrite.leda.read_leda", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.generate_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.parse_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.read_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.write_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.pajek.generate_pajek", "reference/readwrite/generated/networkx.readwrite.pajek.parse_pajek", "reference/readwrite/generated/networkx.readwrite.pajek.read_pajek", "reference/readwrite/generated/networkx.readwrite.pajek.write_pajek", "reference/readwrite/generated/networkx.readwrite.sparse6.from_sparse6_bytes", "reference/readwrite/generated/networkx.readwrite.sparse6.read_sparse6", "reference/readwrite/generated/networkx.readwrite.sparse6.to_sparse6_bytes", "reference/readwrite/generated/networkx.readwrite.sparse6.write_sparse6", "reference/readwrite/generated/networkx.readwrite.text.generate_network_text", "reference/readwrite/generated/networkx.readwrite.text.write_network_text", "reference/readwrite/gexf", "reference/readwrite/gml", "reference/readwrite/graphml", "reference/readwrite/index", "reference/readwrite/json_graph", "reference/readwrite/leda", "reference/readwrite/matrix_market", "reference/readwrite/multiline_adjlist", "reference/readwrite/pajek", "reference/readwrite/sparsegraph6", "reference/readwrite/text", "reference/relabel", "reference/utils", "release/api_0.99", "release/api_1.0", "release/api_1.10", "release/api_1.11", "release/api_1.4", "release/api_1.5", "release/api_1.6", "release/api_1.7", "release/api_1.8", "release/api_1.9", "release/index", "release/migration_guide_from_1.x_to_2.0", "release/migration_guide_from_2.x_to_3.0", "release/old_release_log", "release/release_2.0", "release/release_2.1", "release/release_2.2", "release/release_2.3", "release/release_2.4", "release/release_2.5", "release/release_2.6", "release/release_2.7", "release/release_2.7.1", "release/release_2.8", "release/release_2.8.1", "release/release_2.8.2", "release/release_2.8.3", "release/release_2.8.4", "release/release_2.8.5", "release/release_2.8.6", "release/release_2.8.7", "release/release_2.8.8", "release/release_3.0", "release/release_dev", "tutorial"], "filenames": ["auto_examples/3d_drawing/index.rst", "auto_examples/3d_drawing/mayavi2_spring.rst", "auto_examples/3d_drawing/plot_basic.rst", "auto_examples/3d_drawing/sg_execution_times.rst", "auto_examples/algorithms/index.rst", "auto_examples/algorithms/plot_beam_search.rst", "auto_examples/algorithms/plot_betweenness_centrality.rst", "auto_examples/algorithms/plot_blockmodel.rst", "auto_examples/algorithms/plot_circuits.rst", "auto_examples/algorithms/plot_davis_club.rst", "auto_examples/algorithms/plot_dedensification.rst", "auto_examples/algorithms/plot_iterated_dynamical_systems.rst", "auto_examples/algorithms/plot_krackhardt_centrality.rst", "auto_examples/algorithms/plot_maximum_independent_set.rst", "auto_examples/algorithms/plot_parallel_betweenness.rst", "auto_examples/algorithms/plot_rcm.rst", "auto_examples/algorithms/plot_snap.rst", "auto_examples/algorithms/plot_subgraphs.rst", "auto_examples/algorithms/sg_execution_times.rst", "auto_examples/basic/index.rst", "auto_examples/basic/plot_properties.rst", "auto_examples/basic/plot_read_write.rst", "auto_examples/basic/plot_simple_graph.rst", "auto_examples/basic/sg_execution_times.rst", "auto_examples/drawing/index.rst", "auto_examples/drawing/plot_center_node.rst", "auto_examples/drawing/plot_chess_masters.rst", "auto_examples/drawing/plot_custom_node_icons.rst", "auto_examples/drawing/plot_degree.rst", "auto_examples/drawing/plot_directed.rst", "auto_examples/drawing/plot_edge_colormap.rst", "auto_examples/drawing/plot_ego_graph.rst", "auto_examples/drawing/plot_eigenvalues.rst", "auto_examples/drawing/plot_four_grids.rst", "auto_examples/drawing/plot_house_with_colors.rst", "auto_examples/drawing/plot_knuth_miles.rst", "auto_examples/drawing/plot_labels_and_colors.rst", "auto_examples/drawing/plot_multipartite_graph.rst", "auto_examples/drawing/plot_node_colormap.rst", "auto_examples/drawing/plot_rainbow_coloring.rst", "auto_examples/drawing/plot_random_geometric_graph.rst", "auto_examples/drawing/plot_sampson.rst", "auto_examples/drawing/plot_selfloops.rst", "auto_examples/drawing/plot_simple_path.rst", "auto_examples/drawing/plot_spectral_grid.rst", "auto_examples/drawing/plot_tsp.rst", "auto_examples/drawing/plot_unix_email.rst", "auto_examples/drawing/plot_weighted_graph.rst", "auto_examples/drawing/sg_execution_times.rst", "auto_examples/external/index.rst", "auto_examples/external/javascript_force.rst", "auto_examples/external/plot_igraph.rst", "auto_examples/external/sg_execution_times.rst", "auto_examples/geospatial/extended_description.rst", "auto_examples/geospatial/index.rst", "auto_examples/geospatial/plot_delaunay.rst", "auto_examples/geospatial/plot_lines.rst", "auto_examples/geospatial/plot_osmnx.rst", "auto_examples/geospatial/plot_points.rst", "auto_examples/geospatial/plot_polygons.rst", "auto_examples/geospatial/sg_execution_times.rst", "auto_examples/graph/index.rst", "auto_examples/graph/plot_dag_layout.rst", "auto_examples/graph/plot_degree_sequence.rst", "auto_examples/graph/plot_erdos_renyi.rst", "auto_examples/graph/plot_expected_degree_sequence.rst", "auto_examples/graph/plot_football.rst", "auto_examples/graph/plot_karate_club.rst", "auto_examples/graph/plot_morse_trie.rst", "auto_examples/graph/plot_napoleon_russian_campaign.rst", "auto_examples/graph/plot_roget.rst", "auto_examples/graph/plot_triad_types.rst", "auto_examples/graph/plot_words.rst", "auto_examples/graph/sg_execution_times.rst", "auto_examples/graphviz_drawing/index.rst", "auto_examples/graphviz_drawing/plot_attributes.rst", "auto_examples/graphviz_drawing/plot_conversion.rst", "auto_examples/graphviz_drawing/plot_grid.rst", "auto_examples/graphviz_drawing/plot_mini_atlas.rst", "auto_examples/graphviz_drawing/sg_execution_times.rst", "auto_examples/graphviz_layout/index.rst", "auto_examples/graphviz_layout/plot_atlas.rst", "auto_examples/graphviz_layout/plot_circular_tree.rst", "auto_examples/graphviz_layout/plot_decomposition.rst", "auto_examples/graphviz_layout/plot_giant_component.rst", "auto_examples/graphviz_layout/plot_lanl_routes.rst", "auto_examples/graphviz_layout/sg_execution_times.rst", "auto_examples/index.rst", "auto_examples/subclass/index.rst", "auto_examples/subclass/plot_antigraph.rst", "auto_examples/subclass/plot_printgraph.rst", "auto_examples/subclass/sg_execution_times.rst", "developer/about_us.rst", "developer/code_of_conduct.rst", "developer/contribute.rst", "developer/core_developer.rst", "developer/deprecations.rst", "developer/index.rst", "developer/new_contributor_faq.rst", "developer/nxeps/index.rst", "developer/nxeps/nxep-0000.rst", "developer/nxeps/nxep-0001.rst", "developer/nxeps/nxep-0002.rst", "developer/nxeps/nxep-0003.rst", "developer/nxeps/nxep-0004.rst", "developer/nxeps/nxep-template.rst", "developer/projects.rst", "developer/release.rst", "developer/roadmap.rst", "developer/team.rst", "developer/values.rst", "index.rst", "install.rst", "reference/algorithms/approximation.rst", "reference/algorithms/assortativity.rst", "reference/algorithms/asteroidal.rst", "reference/algorithms/bipartite.rst", "reference/algorithms/boundary.rst", "reference/algorithms/bridges.rst", "reference/algorithms/centrality.rst", "reference/algorithms/chains.rst", "reference/algorithms/chordal.rst", "reference/algorithms/clique.rst", "reference/algorithms/clustering.rst", "reference/algorithms/coloring.rst", "reference/algorithms/communicability_alg.rst", "reference/algorithms/community.rst", "reference/algorithms/component.rst", "reference/algorithms/connectivity.rst", "reference/algorithms/core.rst", "reference/algorithms/covering.rst", "reference/algorithms/cuts.rst", "reference/algorithms/cycles.rst", "reference/algorithms/d_separation.rst", "reference/algorithms/dag.rst", "reference/algorithms/distance_measures.rst", "reference/algorithms/distance_regular.rst", "reference/algorithms/dominance.rst", "reference/algorithms/dominating.rst", "reference/algorithms/efficiency_measures.rst", "reference/algorithms/euler.rst", "reference/algorithms/flow.rst", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.construct.rst", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_components.rst", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_subgraphs.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.analyze_symmetry.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.find_isomorphisms.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.is_isomorphic.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.isomorphisms_iter.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.largest_common_subgraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_is_isomorphic.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_isomorphisms_iter.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edges_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_ccw.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_cw.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_first.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_node.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_nodes_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_weighted_edges_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adj.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adjacency.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.check_structure.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.connect_components.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.copy.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.degree.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edge_subgraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_data.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_edge_data.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_node.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_predecessor.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_successor.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_degree.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_directed.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_multigraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.name.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nbunch_iter.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors_cw_order.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.next_face_half_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nodes.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_nodes.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.order.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_degree.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.pred.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.predecessors.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edges_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_node.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_nodes_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.reverse.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.set_data.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.size.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.subgraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.succ.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.successors.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed_class.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected_class.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.traverse_face.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.update.rst", "reference/algorithms/generated/generated/networkx.algorithms.tree.branchings.Edmonds.find_optimum.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.clique_removal.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.large_clique_size.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.max_clique.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.maximum_independent_set.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clustering_coefficient.average_clustering.rst", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.all_pairs_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.local_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.approximation.distance_measures.diameter.rst", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_edge_dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_weighted_dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.approximation.kcomponents.k_components.rst", "reference/algorithms/generated/networkx.algorithms.approximation.matching.min_maximal_matching.rst", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.one_exchange.rst", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.randomized_partitioning.rst", "reference/algorithms/generated/networkx.algorithms.approximation.ramsey.ramsey_R2.rst", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.metric_closure.rst", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.steiner_tree.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.asadpour_atsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.christofides.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.greedy_tsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.simulated_annealing_tsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.threshold_accepting_tsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.traveling_salesman_problem.rst", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_degree.rst", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_fill_in.rst", "reference/algorithms/generated/networkx.algorithms.approximation.vertex_cover.min_weighted_vertex_cover.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_assortativity_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_dict.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_matrix.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.average_degree_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.average_neighbor_degree.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_assortativity_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_dict.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_matrix.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_pearson_correlation_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.mixing_dict.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.node_attribute_xy.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.node_degree_xy.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.numeric_assortativity_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.asteroidal.find_asteroidal_triple.rst", "reference/algorithms/generated/networkx.algorithms.asteroidal.is_at_free.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.color.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.degrees.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.density.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite_node_set.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.sets.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.average_clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.latapy_clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.robins_alexander_clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.covering.min_edge_cover.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.generate_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.parse_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.read_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.write_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.alternating_havel_hakimi_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.complete_bipartite_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.configuration_model.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.gnmk_random_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.havel_hakimi_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.preferential_attachment_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.random_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.reverse_havel_hakimi_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.eppstein_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.hopcroft_karp_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.maximum_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.minimum_weight_full_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.to_vertex_cover.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.biadjacency_matrix.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.from_biadjacency_matrix.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.collaboration_weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.generic_weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.overlap_weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.redundancy.node_redundancy.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.spectral.spectral_bipartivity.rst", "reference/algorithms/generated/networkx.algorithms.boundary.edge_boundary.rst", "reference/algorithms/generated/networkx.algorithms.boundary.node_boundary.rst", "reference/algorithms/generated/networkx.algorithms.bridges.bridges.rst", "reference/algorithms/generated/networkx.algorithms.bridges.has_bridges.rst", "reference/algorithms/generated/networkx.algorithms.bridges.local_bridges.rst", "reference/algorithms/generated/networkx.algorithms.centrality.approximate_current_flow_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.communicability_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.dispersion.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_load_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality_numpy.rst", "reference/algorithms/generated/networkx.algorithms.centrality.estrada_index.rst", "reference/algorithms/generated/networkx.algorithms.centrality.global_reaching_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_in_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_out_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.harmonic_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.in_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.incremental_closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.information_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality_numpy.rst", "reference/algorithms/generated/networkx.algorithms.centrality.laplacian_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.load_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.local_reaching_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.out_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.percolation_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.prominent_group.rst", "reference/algorithms/generated/networkx.algorithms.centrality.second_order_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality_exp.rst", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_differences.rst", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_incoherence_parameter.rst", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_levels.rst", "reference/algorithms/generated/networkx.algorithms.centrality.voterank.rst", "reference/algorithms/generated/networkx.algorithms.chains.chain_decomposition.rst", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_cliques.rst", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_treewidth.rst", "reference/algorithms/generated/networkx.algorithms.chordal.complete_to_chordal_graph.rst", "reference/algorithms/generated/networkx.algorithms.chordal.find_induced_nodes.rst", "reference/algorithms/generated/networkx.algorithms.chordal.is_chordal.rst", "reference/algorithms/generated/networkx.algorithms.clique.cliques_containing_node.rst", "reference/algorithms/generated/networkx.algorithms.clique.enumerate_all_cliques.rst", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques.rst", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques_recursive.rst", "reference/algorithms/generated/networkx.algorithms.clique.graph_clique_number.rst", "reference/algorithms/generated/networkx.algorithms.clique.graph_number_of_cliques.rst", "reference/algorithms/generated/networkx.algorithms.clique.make_clique_bipartite.rst", "reference/algorithms/generated/networkx.algorithms.clique.make_max_clique_graph.rst", "reference/algorithms/generated/networkx.algorithms.clique.max_weight_clique.rst", "reference/algorithms/generated/networkx.algorithms.clique.node_clique_number.rst", "reference/algorithms/generated/networkx.algorithms.clique.number_of_cliques.rst", "reference/algorithms/generated/networkx.algorithms.cluster.average_clustering.rst", "reference/algorithms/generated/networkx.algorithms.cluster.clustering.rst", "reference/algorithms/generated/networkx.algorithms.cluster.generalized_degree.rst", "reference/algorithms/generated/networkx.algorithms.cluster.square_clustering.rst", "reference/algorithms/generated/networkx.algorithms.cluster.transitivity.rst", "reference/algorithms/generated/networkx.algorithms.cluster.triangles.rst", "reference/algorithms/generated/networkx.algorithms.coloring.equitable_color.rst", "reference/algorithms/generated/networkx.algorithms.coloring.greedy_color.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_bfs.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_dfs.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_independent_set.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_largest_first.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_random_sequential.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_saturation_largest_first.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_smallest_last.rst", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability.rst", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability_exp.rst", "reference/algorithms/generated/networkx.algorithms.community.asyn_fluid.asyn_fluidc.rst", "reference/algorithms/generated/networkx.algorithms.community.centrality.girvan_newman.rst", "reference/algorithms/generated/networkx.algorithms.community.community_utils.is_partition.rst", "reference/algorithms/generated/networkx.algorithms.community.kclique.k_clique_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.kernighan_lin.kernighan_lin_bisection.rst", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.asyn_lpa_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.label_propagation_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_partitions.rst", "reference/algorithms/generated/networkx.algorithms.community.lukes.lukes_partitioning.rst", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.greedy_modularity_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.naive_greedy_modularity_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.quality.modularity.rst", "reference/algorithms/generated/networkx.algorithms.community.quality.partition_quality.rst", "reference/algorithms/generated/networkx.algorithms.components.articulation_points.rst", "reference/algorithms/generated/networkx.algorithms.components.attracting_components.rst", "reference/algorithms/generated/networkx.algorithms.components.biconnected_component_edges.rst", "reference/algorithms/generated/networkx.algorithms.components.biconnected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.condensation.rst", "reference/algorithms/generated/networkx.algorithms.components.connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.is_attracting_component.rst", "reference/algorithms/generated/networkx.algorithms.components.is_biconnected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_connected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_semiconnected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_strongly_connected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_weakly_connected.rst", "reference/algorithms/generated/networkx.algorithms.components.kosaraju_strongly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.node_connected_component.rst", "reference/algorithms/generated/networkx.algorithms.components.number_attracting_components.rst", "reference/algorithms/generated/networkx.algorithms.components.number_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.number_strongly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.number_weakly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components_recursive.rst", "reference/algorithms/generated/networkx.algorithms.components.weakly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.all_pairs_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.average_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.edge_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_edge_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_edge_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_node_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_edge_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_node_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.edge_disjoint_paths.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.node_disjoint_paths.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_k_edge_connected.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_locally_k_edge_connected.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.bridge_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.kcomponents.k_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.kcutsets.all_node_cuts.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.stoerwagner.stoer_wagner.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_edge_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.core.core_number.rst", "reference/algorithms/generated/networkx.algorithms.core.k_core.rst", "reference/algorithms/generated/networkx.algorithms.core.k_corona.rst", "reference/algorithms/generated/networkx.algorithms.core.k_crust.rst", "reference/algorithms/generated/networkx.algorithms.core.k_shell.rst", "reference/algorithms/generated/networkx.algorithms.core.k_truss.rst", "reference/algorithms/generated/networkx.algorithms.core.onion_layers.rst", "reference/algorithms/generated/networkx.algorithms.covering.is_edge_cover.rst", "reference/algorithms/generated/networkx.algorithms.covering.min_edge_cover.rst", "reference/algorithms/generated/networkx.algorithms.cuts.boundary_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.conductance.rst", "reference/algorithms/generated/networkx.algorithms.cuts.cut_size.rst", "reference/algorithms/generated/networkx.algorithms.cuts.edge_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.mixing_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.node_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.normalized_cut_size.rst", "reference/algorithms/generated/networkx.algorithms.cuts.volume.rst", "reference/algorithms/generated/networkx.algorithms.cycles.cycle_basis.rst", "reference/algorithms/generated/networkx.algorithms.cycles.find_cycle.rst", "reference/algorithms/generated/networkx.algorithms.cycles.minimum_cycle_basis.rst", "reference/algorithms/generated/networkx.algorithms.cycles.recursive_simple_cycles.rst", "reference/algorithms/generated/networkx.algorithms.cycles.simple_cycles.rst", "reference/algorithms/generated/networkx.algorithms.d_separation.d_separated.rst", "reference/algorithms/generated/networkx.algorithms.dag.all_topological_sorts.rst", "reference/algorithms/generated/networkx.algorithms.dag.ancestors.rst", "reference/algorithms/generated/networkx.algorithms.dag.antichains.rst", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path.rst", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.dag.dag_to_branching.rst", "reference/algorithms/generated/networkx.algorithms.dag.descendants.rst", "reference/algorithms/generated/networkx.algorithms.dag.is_aperiodic.rst", "reference/algorithms/generated/networkx.algorithms.dag.is_directed_acyclic_graph.rst", "reference/algorithms/generated/networkx.algorithms.dag.lexicographical_topological_sort.rst", "reference/algorithms/generated/networkx.algorithms.dag.topological_generations.rst", "reference/algorithms/generated/networkx.algorithms.dag.topological_sort.rst", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure.rst", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure_dag.rst", "reference/algorithms/generated/networkx.algorithms.dag.transitive_reduction.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.barycenter.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.center.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.diameter.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.eccentricity.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.periphery.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.radius.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.resistance_distance.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.global_parameters.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.intersection_array.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_distance_regular.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_strongly_regular.rst", "reference/algorithms/generated/networkx.algorithms.dominance.dominance_frontiers.rst", "reference/algorithms/generated/networkx.algorithms.dominance.immediate_dominators.rst", "reference/algorithms/generated/networkx.algorithms.dominating.dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.dominating.is_dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.efficiency.rst", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.global_efficiency.rst", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.local_efficiency.rst", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_circuit.rst", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_path.rst", "reference/algorithms/generated/networkx.algorithms.euler.eulerize.rst", "reference/algorithms/generated/networkx.algorithms.euler.has_eulerian_path.rst", "reference/algorithms/generated/networkx.algorithms.euler.is_eulerian.rst", "reference/algorithms/generated/networkx.algorithms.euler.is_semieulerian.rst", "reference/algorithms/generated/networkx.algorithms.flow.boykov_kolmogorov.rst", "reference/algorithms/generated/networkx.algorithms.flow.build_residual_network.rst", "reference/algorithms/generated/networkx.algorithms.flow.capacity_scaling.rst", "reference/algorithms/generated/networkx.algorithms.flow.cost_of_flow.rst", "reference/algorithms/generated/networkx.algorithms.flow.dinitz.rst", "reference/algorithms/generated/networkx.algorithms.flow.edmonds_karp.rst", "reference/algorithms/generated/networkx.algorithms.flow.gomory_hu_tree.rst", "reference/algorithms/generated/networkx.algorithms.flow.max_flow_min_cost.rst", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow.rst", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow_value.rst", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow.rst", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow_cost.rst", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut.rst", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut_value.rst", "reference/algorithms/generated/networkx.algorithms.flow.network_simplex.rst", "reference/algorithms/generated/networkx.algorithms.flow.preflow_push.rst", "reference/algorithms/generated/networkx.algorithms.flow.shortest_augmenting_path.rst", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_graph_hash.rst", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_subgraph_hashes.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_digraphical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_graphical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_multigraphical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_pseudographical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_erdos_gallai.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_havel_hakimi.rst", "reference/algorithms/generated/networkx.algorithms.hierarchy.flow_hierarchy.rst", "reference/algorithms/generated/networkx.algorithms.hybrid.is_kl_connected.rst", "reference/algorithms/generated/networkx.algorithms.hybrid.kl_connected_subgraph.rst", "reference/algorithms/generated/networkx.algorithms.isolate.is_isolate.rst", "reference/algorithms/generated/networkx.algorithms.isolate.isolates.rst", "reference/algorithms/generated/networkx.algorithms.isolate.number_of_isolates.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.__init__.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.candidate_pairs_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.initialize.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.semantic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.syntactic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.__init__.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.candidate_pairs_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.initialize.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.semantic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.syntactic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.ISMAGS.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_edge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_multiedge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_node_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.could_be_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.fast_could_be_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.faster_could_be_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_edge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_multiedge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_node_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_edge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_multiedge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_node_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.rooted_tree_isomorphism.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.tree_isomorphism.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_all_isomorphisms.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_isomorphism.rst", "reference/algorithms/generated/networkx.algorithms.link_analysis.hits_alg.hits.rst", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.google_matrix.rst", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.pagerank.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.adamic_adar_index.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.cn_soundarajan_hopcroft.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.common_neighbor_centrality.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.jaccard_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.preferential_attachment.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.ra_index_soundarajan_hopcroft.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.resource_allocation_index.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.within_inter_cluster.rst", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.all_pairs_lowest_common_ancestor.rst", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.lowest_common_ancestor.rst", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.tree_all_pairs_lowest_common_ancestor.rst", "reference/algorithms/generated/networkx.algorithms.matching.is_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.is_maximal_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.is_perfect_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.max_weight_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.maximal_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.min_weight_matching.rst", "reference/algorithms/generated/networkx.algorithms.minors.contracted_edge.rst", "reference/algorithms/generated/networkx.algorithms.minors.contracted_nodes.rst", "reference/algorithms/generated/networkx.algorithms.minors.equivalence_classes.rst", "reference/algorithms/generated/networkx.algorithms.minors.identified_nodes.rst", "reference/algorithms/generated/networkx.algorithms.minors.quotient_graph.rst", "reference/algorithms/generated/networkx.algorithms.mis.maximal_independent_set.rst", "reference/algorithms/generated/networkx.algorithms.moral.moral_graph.rst", "reference/algorithms/generated/networkx.algorithms.node_classification.harmonic_function.rst", "reference/algorithms/generated/networkx.algorithms.node_classification.local_and_global_consistency.rst", "reference/algorithms/generated/networkx.algorithms.non_randomness.non_randomness.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.compose_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.disjoint_union_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.intersection_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.union_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.compose.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.difference.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.disjoint_union.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.full_join.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.intersection.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.symmetric_difference.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.union.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.cartesian_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.corona_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.lexicographic_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.power.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.rooted_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.strong_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.tensor_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.unary.complement.rst", "reference/algorithms/generated/networkx.algorithms.operators.unary.reverse.rst", "reference/algorithms/generated/networkx.algorithms.planar_drawing.combinatorial_embedding_to_pos.rst", "reference/algorithms/generated/networkx.algorithms.planarity.PlanarEmbedding.rst", "reference/algorithms/generated/networkx.algorithms.planarity.check_planarity.rst", "reference/algorithms/generated/networkx.algorithms.planarity.is_planar.rst", "reference/algorithms/generated/networkx.algorithms.polynomials.chromatic_polynomial.rst", "reference/algorithms/generated/networkx.algorithms.polynomials.tutte_polynomial.rst", "reference/algorithms/generated/networkx.algorithms.reciprocity.overall_reciprocity.rst", "reference/algorithms/generated/networkx.algorithms.reciprocity.reciprocity.rst", "reference/algorithms/generated/networkx.algorithms.regular.is_k_regular.rst", "reference/algorithms/generated/networkx.algorithms.regular.is_regular.rst", "reference/algorithms/generated/networkx.algorithms.regular.k_factor.rst", "reference/algorithms/generated/networkx.algorithms.richclub.rich_club_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_numpy.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_predecessor_and_distance.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.reconstruct_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.all_shortest_paths.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.average_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.has_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.bidirectional_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.predecessor.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_predecessor_and_distance.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bidirectional_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_predecessor_and_distance.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.find_negative_cycle.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.goldberg_radzik.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.johnson.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.negative_edge_cycle.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.similarity.generate_random_paths.rst", "reference/algorithms/generated/networkx.algorithms.similarity.graph_edit_distance.rst", "reference/algorithms/generated/networkx.algorithms.similarity.optimal_edit_paths.rst", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_edit_paths.rst", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_graph_edit_distance.rst", "reference/algorithms/generated/networkx.algorithms.similarity.panther_similarity.rst", "reference/algorithms/generated/networkx.algorithms.similarity.simrank_similarity.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_edge_paths.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_paths.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.is_simple_path.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.shortest_simple_paths.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.lattice_reference.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.omega.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.random_reference.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.sigma.rst", "reference/algorithms/generated/networkx.algorithms.smetric.s_metric.rst", "reference/algorithms/generated/networkx.algorithms.sparsifiers.spanner.rst", "reference/algorithms/generated/networkx.algorithms.structuralholes.constraint.rst", "reference/algorithms/generated/networkx.algorithms.structuralholes.effective_size.rst", "reference/algorithms/generated/networkx.algorithms.structuralholes.local_constraint.rst", "reference/algorithms/generated/networkx.algorithms.summarization.dedensify.rst", "reference/algorithms/generated/networkx.algorithms.summarization.snap_aggregation.rst", "reference/algorithms/generated/networkx.algorithms.swap.connected_double_edge_swap.rst", "reference/algorithms/generated/networkx.algorithms.swap.directed_edge_swap.rst", "reference/algorithms/generated/networkx.algorithms.swap.double_edge_swap.rst", "reference/algorithms/generated/networkx.algorithms.threshold.find_threshold_graph.rst", "reference/algorithms/generated/networkx.algorithms.threshold.is_threshold_graph.rst", "reference/algorithms/generated/networkx.algorithms.tournament.hamiltonian_path.rst", "reference/algorithms/generated/networkx.algorithms.tournament.is_reachable.rst", "reference/algorithms/generated/networkx.algorithms.tournament.is_strongly_connected.rst", "reference/algorithms/generated/networkx.algorithms.tournament.is_tournament.rst", "reference/algorithms/generated/networkx.algorithms.tournament.random_tournament.rst", "reference/algorithms/generated/networkx.algorithms.tournament.score_sequence.rst", "reference/algorithms/generated/networkx.algorithms.traversal.beamsearch.bfs_beam_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_layers.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_predecessors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_successors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_tree.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.descendants_at_distance.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_labeled_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_postorder_nodes.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_predecessors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_preorder_nodes.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_successors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_tree.rst", "reference/algorithms/generated/networkx.algorithms.traversal.edgebfs.edge_bfs.rst", "reference/algorithms/generated/networkx.algorithms.traversal.edgedfs.edge_dfs.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.ArborescenceIterator.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.Edmonds.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.branching_weight.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.greedy_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_spanning_arborescence.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_spanning_arborescence.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.NotATree.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_nested_tuple.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_prufer_sequence.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_nested_tuple.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_prufer_sequence.rst", "reference/algorithms/generated/networkx.algorithms.tree.decomposition.junction_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.SpanningTreeIterator.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_edges.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_edges.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.random_spanning_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.operations.join.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_arborescence.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_forest.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_tree.rst", "reference/algorithms/generated/networkx.algorithms.triads.all_triads.rst", "reference/algorithms/generated/networkx.algorithms.triads.all_triplets.rst", "reference/algorithms/generated/networkx.algorithms.triads.is_triad.rst", "reference/algorithms/generated/networkx.algorithms.triads.random_triad.rst", "reference/algorithms/generated/networkx.algorithms.triads.triad_type.rst", "reference/algorithms/generated/networkx.algorithms.triads.triadic_census.rst", "reference/algorithms/generated/networkx.algorithms.triads.triads_by_type.rst", "reference/algorithms/generated/networkx.algorithms.vitality.closeness_vitality.rst", "reference/algorithms/generated/networkx.algorithms.voronoi.voronoi_cells.rst", "reference/algorithms/generated/networkx.algorithms.wiener.wiener_index.rst", "reference/algorithms/graph_hashing.rst", "reference/algorithms/graphical.rst", "reference/algorithms/hierarchy.rst", "reference/algorithms/hybrid.rst", "reference/algorithms/index.rst", "reference/algorithms/isolates.rst", "reference/algorithms/isomorphism.rst", "reference/algorithms/isomorphism.ismags.rst", "reference/algorithms/isomorphism.vf2.rst", "reference/algorithms/link_analysis.rst", "reference/algorithms/link_prediction.rst", "reference/algorithms/lowest_common_ancestors.rst", "reference/algorithms/matching.rst", "reference/algorithms/minors.rst", "reference/algorithms/mis.rst", "reference/algorithms/moral.rst", "reference/algorithms/node_classification.rst", "reference/algorithms/non_randomness.rst", "reference/algorithms/operators.rst", "reference/algorithms/planar_drawing.rst", "reference/algorithms/planarity.rst", "reference/algorithms/polynomials.rst", "reference/algorithms/reciprocity.rst", "reference/algorithms/regular.rst", "reference/algorithms/rich_club.rst", "reference/algorithms/shortest_paths.rst", "reference/algorithms/similarity.rst", "reference/algorithms/simple_paths.rst", "reference/algorithms/smallworld.rst", "reference/algorithms/smetric.rst", "reference/algorithms/sparsifiers.rst", "reference/algorithms/structuralholes.rst", "reference/algorithms/summarization.rst", "reference/algorithms/swap.rst", "reference/algorithms/threshold.rst", "reference/algorithms/tournament.rst", "reference/algorithms/traversal.rst", "reference/algorithms/tree.rst", "reference/algorithms/triads.rst", "reference/algorithms/vitality.rst", "reference/algorithms/voronoi.rst", "reference/algorithms/wiener.rst", "reference/classes/digraph.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.values.rst", "reference/classes/generated/networkx.DiGraph.__contains__.rst", "reference/classes/generated/networkx.DiGraph.__getitem__.rst", "reference/classes/generated/networkx.DiGraph.__init__.rst", "reference/classes/generated/networkx.DiGraph.__iter__.rst", "reference/classes/generated/networkx.DiGraph.__len__.rst", "reference/classes/generated/networkx.DiGraph.add_edge.rst", "reference/classes/generated/networkx.DiGraph.add_edges_from.rst", "reference/classes/generated/networkx.DiGraph.add_node.rst", "reference/classes/generated/networkx.DiGraph.add_nodes_from.rst", "reference/classes/generated/networkx.DiGraph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.DiGraph.adj.rst", "reference/classes/generated/networkx.DiGraph.adjacency.rst", "reference/classes/generated/networkx.DiGraph.clear.rst", "reference/classes/generated/networkx.DiGraph.clear_edges.rst", "reference/classes/generated/networkx.DiGraph.copy.rst", "reference/classes/generated/networkx.DiGraph.degree.rst", "reference/classes/generated/networkx.DiGraph.edge_subgraph.rst", "reference/classes/generated/networkx.DiGraph.edges.rst", "reference/classes/generated/networkx.DiGraph.get_edge_data.rst", "reference/classes/generated/networkx.DiGraph.has_edge.rst", "reference/classes/generated/networkx.DiGraph.has_node.rst", "reference/classes/generated/networkx.DiGraph.in_degree.rst", "reference/classes/generated/networkx.DiGraph.in_edges.rst", "reference/classes/generated/networkx.DiGraph.nbunch_iter.rst", "reference/classes/generated/networkx.DiGraph.neighbors.rst", "reference/classes/generated/networkx.DiGraph.nodes.rst", "reference/classes/generated/networkx.DiGraph.number_of_edges.rst", "reference/classes/generated/networkx.DiGraph.number_of_nodes.rst", "reference/classes/generated/networkx.DiGraph.order.rst", "reference/classes/generated/networkx.DiGraph.out_degree.rst", "reference/classes/generated/networkx.DiGraph.out_edges.rst", "reference/classes/generated/networkx.DiGraph.pred.rst", "reference/classes/generated/networkx.DiGraph.predecessors.rst", "reference/classes/generated/networkx.DiGraph.remove_edge.rst", "reference/classes/generated/networkx.DiGraph.remove_edges_from.rst", "reference/classes/generated/networkx.DiGraph.remove_node.rst", "reference/classes/generated/networkx.DiGraph.remove_nodes_from.rst", "reference/classes/generated/networkx.DiGraph.reverse.rst", "reference/classes/generated/networkx.DiGraph.size.rst", "reference/classes/generated/networkx.DiGraph.subgraph.rst", "reference/classes/generated/networkx.DiGraph.succ.rst", "reference/classes/generated/networkx.DiGraph.successors.rst", "reference/classes/generated/networkx.DiGraph.to_directed.rst", "reference/classes/generated/networkx.DiGraph.to_undirected.rst", "reference/classes/generated/networkx.DiGraph.update.rst", "reference/classes/generated/networkx.Graph.__contains__.rst", "reference/classes/generated/networkx.Graph.__getitem__.rst", "reference/classes/generated/networkx.Graph.__init__.rst", "reference/classes/generated/networkx.Graph.__iter__.rst", "reference/classes/generated/networkx.Graph.__len__.rst", "reference/classes/generated/networkx.Graph.add_edge.rst", "reference/classes/generated/networkx.Graph.add_edges_from.rst", "reference/classes/generated/networkx.Graph.add_node.rst", "reference/classes/generated/networkx.Graph.add_nodes_from.rst", "reference/classes/generated/networkx.Graph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.Graph.adj.rst", "reference/classes/generated/networkx.Graph.adjacency.rst", "reference/classes/generated/networkx.Graph.clear.rst", "reference/classes/generated/networkx.Graph.clear_edges.rst", "reference/classes/generated/networkx.Graph.copy.rst", "reference/classes/generated/networkx.Graph.degree.rst", "reference/classes/generated/networkx.Graph.edge_subgraph.rst", "reference/classes/generated/networkx.Graph.edges.rst", "reference/classes/generated/networkx.Graph.get_edge_data.rst", "reference/classes/generated/networkx.Graph.has_edge.rst", "reference/classes/generated/networkx.Graph.has_node.rst", "reference/classes/generated/networkx.Graph.nbunch_iter.rst", "reference/classes/generated/networkx.Graph.neighbors.rst", "reference/classes/generated/networkx.Graph.nodes.rst", "reference/classes/generated/networkx.Graph.number_of_edges.rst", "reference/classes/generated/networkx.Graph.number_of_nodes.rst", "reference/classes/generated/networkx.Graph.order.rst", "reference/classes/generated/networkx.Graph.remove_edge.rst", "reference/classes/generated/networkx.Graph.remove_edges_from.rst", "reference/classes/generated/networkx.Graph.remove_node.rst", "reference/classes/generated/networkx.Graph.remove_nodes_from.rst", "reference/classes/generated/networkx.Graph.size.rst", "reference/classes/generated/networkx.Graph.subgraph.rst", "reference/classes/generated/networkx.Graph.to_directed.rst", "reference/classes/generated/networkx.Graph.to_undirected.rst", "reference/classes/generated/networkx.Graph.update.rst", "reference/classes/generated/networkx.MultiDiGraph.__contains__.rst", "reference/classes/generated/networkx.MultiDiGraph.__getitem__.rst", "reference/classes/generated/networkx.MultiDiGraph.__init__.rst", "reference/classes/generated/networkx.MultiDiGraph.__iter__.rst", "reference/classes/generated/networkx.MultiDiGraph.__len__.rst", "reference/classes/generated/networkx.MultiDiGraph.add_edge.rst", "reference/classes/generated/networkx.MultiDiGraph.add_edges_from.rst", "reference/classes/generated/networkx.MultiDiGraph.add_node.rst", "reference/classes/generated/networkx.MultiDiGraph.add_nodes_from.rst", "reference/classes/generated/networkx.MultiDiGraph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.MultiDiGraph.adj.rst", "reference/classes/generated/networkx.MultiDiGraph.adjacency.rst", "reference/classes/generated/networkx.MultiDiGraph.clear.rst", "reference/classes/generated/networkx.MultiDiGraph.clear_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.copy.rst", "reference/classes/generated/networkx.MultiDiGraph.degree.rst", "reference/classes/generated/networkx.MultiDiGraph.edge_subgraph.rst", "reference/classes/generated/networkx.MultiDiGraph.edges.rst", "reference/classes/generated/networkx.MultiDiGraph.get_edge_data.rst", "reference/classes/generated/networkx.MultiDiGraph.has_edge.rst", "reference/classes/generated/networkx.MultiDiGraph.has_node.rst", "reference/classes/generated/networkx.MultiDiGraph.in_degree.rst", "reference/classes/generated/networkx.MultiDiGraph.in_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.nbunch_iter.rst", "reference/classes/generated/networkx.MultiDiGraph.neighbors.rst", "reference/classes/generated/networkx.MultiDiGraph.new_edge_key.rst", "reference/classes/generated/networkx.MultiDiGraph.nodes.rst", "reference/classes/generated/networkx.MultiDiGraph.number_of_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.number_of_nodes.rst", "reference/classes/generated/networkx.MultiDiGraph.order.rst", "reference/classes/generated/networkx.MultiDiGraph.out_degree.rst", "reference/classes/generated/networkx.MultiDiGraph.out_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.pred.rst", "reference/classes/generated/networkx.MultiDiGraph.predecessors.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_edge.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_edges_from.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_node.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_nodes_from.rst", "reference/classes/generated/networkx.MultiDiGraph.reverse.rst", "reference/classes/generated/networkx.MultiDiGraph.size.rst", "reference/classes/generated/networkx.MultiDiGraph.subgraph.rst", "reference/classes/generated/networkx.MultiDiGraph.succ.rst", "reference/classes/generated/networkx.MultiDiGraph.successors.rst", "reference/classes/generated/networkx.MultiDiGraph.to_directed.rst", "reference/classes/generated/networkx.MultiDiGraph.to_undirected.rst", "reference/classes/generated/networkx.MultiDiGraph.update.rst", "reference/classes/generated/networkx.MultiGraph.__contains__.rst", "reference/classes/generated/networkx.MultiGraph.__getitem__.rst", "reference/classes/generated/networkx.MultiGraph.__init__.rst", "reference/classes/generated/networkx.MultiGraph.__iter__.rst", "reference/classes/generated/networkx.MultiGraph.__len__.rst", "reference/classes/generated/networkx.MultiGraph.add_edge.rst", "reference/classes/generated/networkx.MultiGraph.add_edges_from.rst", "reference/classes/generated/networkx.MultiGraph.add_node.rst", "reference/classes/generated/networkx.MultiGraph.add_nodes_from.rst", "reference/classes/generated/networkx.MultiGraph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.MultiGraph.adj.rst", "reference/classes/generated/networkx.MultiGraph.adjacency.rst", "reference/classes/generated/networkx.MultiGraph.clear.rst", "reference/classes/generated/networkx.MultiGraph.clear_edges.rst", "reference/classes/generated/networkx.MultiGraph.copy.rst", "reference/classes/generated/networkx.MultiGraph.degree.rst", "reference/classes/generated/networkx.MultiGraph.edge_subgraph.rst", "reference/classes/generated/networkx.MultiGraph.edges.rst", "reference/classes/generated/networkx.MultiGraph.get_edge_data.rst", "reference/classes/generated/networkx.MultiGraph.has_edge.rst", "reference/classes/generated/networkx.MultiGraph.has_node.rst", "reference/classes/generated/networkx.MultiGraph.nbunch_iter.rst", "reference/classes/generated/networkx.MultiGraph.neighbors.rst", "reference/classes/generated/networkx.MultiGraph.new_edge_key.rst", "reference/classes/generated/networkx.MultiGraph.nodes.rst", "reference/classes/generated/networkx.MultiGraph.number_of_edges.rst", "reference/classes/generated/networkx.MultiGraph.number_of_nodes.rst", "reference/classes/generated/networkx.MultiGraph.order.rst", "reference/classes/generated/networkx.MultiGraph.remove_edge.rst", "reference/classes/generated/networkx.MultiGraph.remove_edges_from.rst", "reference/classes/generated/networkx.MultiGraph.remove_node.rst", "reference/classes/generated/networkx.MultiGraph.remove_nodes_from.rst", "reference/classes/generated/networkx.MultiGraph.size.rst", "reference/classes/generated/networkx.MultiGraph.subgraph.rst", "reference/classes/generated/networkx.MultiGraph.to_directed.rst", "reference/classes/generated/networkx.MultiGraph.to_undirected.rst", "reference/classes/generated/networkx.MultiGraph.update.rst", "reference/classes/generated/networkx.classes.backends._dispatch.rst", "reference/classes/generated/networkx.classes.coreviews.AdjacencyView.rst", "reference/classes/generated/networkx.classes.coreviews.AtlasView.rst", "reference/classes/generated/networkx.classes.coreviews.FilterAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.FilterAtlas.rst", "reference/classes/generated/networkx.classes.coreviews.FilterMultiAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.FilterMultiInner.rst", "reference/classes/generated/networkx.classes.coreviews.MultiAdjacencyView.rst", "reference/classes/generated/networkx.classes.coreviews.UnionAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.UnionAtlas.rst", "reference/classes/generated/networkx.classes.coreviews.UnionMultiAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.UnionMultiInner.rst", "reference/classes/generated/networkx.classes.filters.hide_diedges.rst", "reference/classes/generated/networkx.classes.filters.hide_edges.rst", "reference/classes/generated/networkx.classes.filters.hide_multidiedges.rst", "reference/classes/generated/networkx.classes.filters.hide_multiedges.rst", "reference/classes/generated/networkx.classes.filters.hide_nodes.rst", "reference/classes/generated/networkx.classes.filters.no_filter.rst", "reference/classes/generated/networkx.classes.filters.show_diedges.rst", "reference/classes/generated/networkx.classes.filters.show_edges.rst", "reference/classes/generated/networkx.classes.filters.show_multidiedges.rst", "reference/classes/generated/networkx.classes.filters.show_multiedges.rst", "reference/classes/generated/networkx.classes.filters.show_nodes.rst", "reference/classes/generated/networkx.classes.graphviews.generic_graph_view.rst", "reference/classes/generated/networkx.classes.graphviews.reverse_view.rst", "reference/classes/generated/networkx.classes.graphviews.subgraph_view.rst", "reference/classes/graph.rst", "reference/classes/index.rst", "reference/classes/multidigraph.rst", "reference/classes/multigraph.rst", "reference/convert.rst", "reference/drawing.rst", "reference/exceptions.rst", "reference/functions.rst", "reference/generated/generated/networkx.utils.decorators.argmap.assemble.rst", "reference/generated/generated/networkx.utils.decorators.argmap.compile.rst", "reference/generated/generated/networkx.utils.decorators.argmap.signature.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.pop.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.push.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.remove.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.update.rst", "reference/generated/networkx.classes.function.add_cycle.rst", "reference/generated/networkx.classes.function.add_path.rst", "reference/generated/networkx.classes.function.add_star.rst", "reference/generated/networkx.classes.function.all_neighbors.rst", "reference/generated/networkx.classes.function.common_neighbors.rst", "reference/generated/networkx.classes.function.create_empty_copy.rst", "reference/generated/networkx.classes.function.degree.rst", "reference/generated/networkx.classes.function.degree_histogram.rst", "reference/generated/networkx.classes.function.density.rst", "reference/generated/networkx.classes.function.edge_subgraph.rst", "reference/generated/networkx.classes.function.edges.rst", "reference/generated/networkx.classes.function.freeze.rst", "reference/generated/networkx.classes.function.get_edge_attributes.rst", "reference/generated/networkx.classes.function.get_node_attributes.rst", "reference/generated/networkx.classes.function.induced_subgraph.rst", "reference/generated/networkx.classes.function.is_directed.rst", "reference/generated/networkx.classes.function.is_empty.rst", "reference/generated/networkx.classes.function.is_frozen.rst", "reference/generated/networkx.classes.function.is_negatively_weighted.rst", "reference/generated/networkx.classes.function.is_path.rst", "reference/generated/networkx.classes.function.is_weighted.rst", "reference/generated/networkx.classes.function.neighbors.rst", "reference/generated/networkx.classes.function.nodes.rst", "reference/generated/networkx.classes.function.nodes_with_selfloops.rst", "reference/generated/networkx.classes.function.non_edges.rst", "reference/generated/networkx.classes.function.non_neighbors.rst", "reference/generated/networkx.classes.function.number_of_edges.rst", "reference/generated/networkx.classes.function.number_of_nodes.rst", "reference/generated/networkx.classes.function.number_of_selfloops.rst", "reference/generated/networkx.classes.function.path_weight.rst", "reference/generated/networkx.classes.function.restricted_view.rst", "reference/generated/networkx.classes.function.reverse_view.rst", "reference/generated/networkx.classes.function.selfloop_edges.rst", "reference/generated/networkx.classes.function.set_edge_attributes.rst", "reference/generated/networkx.classes.function.set_node_attributes.rst", "reference/generated/networkx.classes.function.subgraph.rst", "reference/generated/networkx.classes.function.subgraph_view.rst", "reference/generated/networkx.classes.function.to_directed.rst", "reference/generated/networkx.classes.function.to_undirected.rst", "reference/generated/networkx.convert.from_dict_of_dicts.rst", "reference/generated/networkx.convert.from_dict_of_lists.rst", "reference/generated/networkx.convert.from_edgelist.rst", "reference/generated/networkx.convert.to_dict_of_dicts.rst", "reference/generated/networkx.convert.to_dict_of_lists.rst", "reference/generated/networkx.convert.to_edgelist.rst", "reference/generated/networkx.convert.to_networkx_graph.rst", "reference/generated/networkx.convert_matrix.from_numpy_array.rst", "reference/generated/networkx.convert_matrix.from_pandas_adjacency.rst", "reference/generated/networkx.convert_matrix.from_pandas_edgelist.rst", "reference/generated/networkx.convert_matrix.from_scipy_sparse_array.rst", "reference/generated/networkx.convert_matrix.to_numpy_array.rst", "reference/generated/networkx.convert_matrix.to_pandas_adjacency.rst", "reference/generated/networkx.convert_matrix.to_pandas_edgelist.rst", "reference/generated/networkx.convert_matrix.to_scipy_sparse_array.rst", "reference/generated/networkx.drawing.layout.bipartite_layout.rst", "reference/generated/networkx.drawing.layout.circular_layout.rst", "reference/generated/networkx.drawing.layout.kamada_kawai_layout.rst", "reference/generated/networkx.drawing.layout.multipartite_layout.rst", "reference/generated/networkx.drawing.layout.planar_layout.rst", "reference/generated/networkx.drawing.layout.random_layout.rst", "reference/generated/networkx.drawing.layout.rescale_layout.rst", "reference/generated/networkx.drawing.layout.rescale_layout_dict.rst", "reference/generated/networkx.drawing.layout.shell_layout.rst", "reference/generated/networkx.drawing.layout.spectral_layout.rst", "reference/generated/networkx.drawing.layout.spiral_layout.rst", "reference/generated/networkx.drawing.layout.spring_layout.rst", "reference/generated/networkx.drawing.nx_agraph.from_agraph.rst", "reference/generated/networkx.drawing.nx_agraph.graphviz_layout.rst", "reference/generated/networkx.drawing.nx_agraph.pygraphviz_layout.rst", "reference/generated/networkx.drawing.nx_agraph.read_dot.rst", "reference/generated/networkx.drawing.nx_agraph.to_agraph.rst", "reference/generated/networkx.drawing.nx_agraph.write_dot.rst", "reference/generated/networkx.drawing.nx_latex.to_latex.rst", "reference/generated/networkx.drawing.nx_latex.to_latex_raw.rst", "reference/generated/networkx.drawing.nx_latex.write_latex.rst", "reference/generated/networkx.drawing.nx_pydot.from_pydot.rst", "reference/generated/networkx.drawing.nx_pydot.graphviz_layout.rst", "reference/generated/networkx.drawing.nx_pydot.pydot_layout.rst", "reference/generated/networkx.drawing.nx_pydot.read_dot.rst", "reference/generated/networkx.drawing.nx_pydot.to_pydot.rst", "reference/generated/networkx.drawing.nx_pydot.write_dot.rst", "reference/generated/networkx.drawing.nx_pylab.draw.rst", "reference/generated/networkx.drawing.nx_pylab.draw_circular.rst", "reference/generated/networkx.drawing.nx_pylab.draw_kamada_kawai.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edge_labels.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edges.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_labels.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_nodes.rst", "reference/generated/networkx.drawing.nx_pylab.draw_planar.rst", "reference/generated/networkx.drawing.nx_pylab.draw_random.rst", "reference/generated/networkx.drawing.nx_pylab.draw_shell.rst", "reference/generated/networkx.drawing.nx_pylab.draw_spectral.rst", "reference/generated/networkx.drawing.nx_pylab.draw_spring.rst", "reference/generated/networkx.generators.atlas.graph_atlas.rst", "reference/generated/networkx.generators.atlas.graph_atlas_g.rst", "reference/generated/networkx.generators.classic.balanced_tree.rst", "reference/generated/networkx.generators.classic.barbell_graph.rst", "reference/generated/networkx.generators.classic.binomial_tree.rst", "reference/generated/networkx.generators.classic.circulant_graph.rst", "reference/generated/networkx.generators.classic.circular_ladder_graph.rst", "reference/generated/networkx.generators.classic.complete_graph.rst", "reference/generated/networkx.generators.classic.complete_multipartite_graph.rst", "reference/generated/networkx.generators.classic.cycle_graph.rst", "reference/generated/networkx.generators.classic.dorogovtsev_goltsev_mendes_graph.rst", "reference/generated/networkx.generators.classic.empty_graph.rst", "reference/generated/networkx.generators.classic.full_rary_tree.rst", "reference/generated/networkx.generators.classic.ladder_graph.rst", "reference/generated/networkx.generators.classic.lollipop_graph.rst", "reference/generated/networkx.generators.classic.null_graph.rst", "reference/generated/networkx.generators.classic.path_graph.rst", "reference/generated/networkx.generators.classic.star_graph.rst", "reference/generated/networkx.generators.classic.trivial_graph.rst", "reference/generated/networkx.generators.classic.turan_graph.rst", "reference/generated/networkx.generators.classic.wheel_graph.rst", "reference/generated/networkx.generators.cographs.random_cograph.rst", "reference/generated/networkx.generators.community.LFR_benchmark_graph.rst", "reference/generated/networkx.generators.community.caveman_graph.rst", "reference/generated/networkx.generators.community.connected_caveman_graph.rst", "reference/generated/networkx.generators.community.gaussian_random_partition_graph.rst", "reference/generated/networkx.generators.community.planted_partition_graph.rst", "reference/generated/networkx.generators.community.random_partition_graph.rst", "reference/generated/networkx.generators.community.relaxed_caveman_graph.rst", "reference/generated/networkx.generators.community.ring_of_cliques.rst", "reference/generated/networkx.generators.community.stochastic_block_model.rst", "reference/generated/networkx.generators.community.windmill_graph.rst", "reference/generated/networkx.generators.degree_seq.configuration_model.rst", "reference/generated/networkx.generators.degree_seq.degree_sequence_tree.rst", "reference/generated/networkx.generators.degree_seq.directed_configuration_model.rst", "reference/generated/networkx.generators.degree_seq.directed_havel_hakimi_graph.rst", "reference/generated/networkx.generators.degree_seq.expected_degree_graph.rst", "reference/generated/networkx.generators.degree_seq.havel_hakimi_graph.rst", "reference/generated/networkx.generators.degree_seq.random_degree_sequence_graph.rst", "reference/generated/networkx.generators.directed.gn_graph.rst", "reference/generated/networkx.generators.directed.gnc_graph.rst", "reference/generated/networkx.generators.directed.gnr_graph.rst", "reference/generated/networkx.generators.directed.random_k_out_graph.rst", "reference/generated/networkx.generators.directed.scale_free_graph.rst", "reference/generated/networkx.generators.duplication.duplication_divergence_graph.rst", "reference/generated/networkx.generators.duplication.partial_duplication_graph.rst", "reference/generated/networkx.generators.ego.ego_graph.rst", "reference/generated/networkx.generators.expanders.chordal_cycle_graph.rst", "reference/generated/networkx.generators.expanders.margulis_gabber_galil_graph.rst", "reference/generated/networkx.generators.expanders.paley_graph.rst", "reference/generated/networkx.generators.geometric.geographical_threshold_graph.rst", "reference/generated/networkx.generators.geometric.geometric_edges.rst", "reference/generated/networkx.generators.geometric.navigable_small_world_graph.rst", "reference/generated/networkx.generators.geometric.random_geometric_graph.rst", "reference/generated/networkx.generators.geometric.soft_random_geometric_graph.rst", "reference/generated/networkx.generators.geometric.thresholded_random_geometric_graph.rst", "reference/generated/networkx.generators.geometric.waxman_graph.rst", "reference/generated/networkx.generators.harary_graph.hkn_harary_graph.rst", "reference/generated/networkx.generators.harary_graph.hnm_harary_graph.rst", "reference/generated/networkx.generators.internet_as_graphs.random_internet_as_graph.rst", "reference/generated/networkx.generators.intersection.general_random_intersection_graph.rst", "reference/generated/networkx.generators.intersection.k_random_intersection_graph.rst", "reference/generated/networkx.generators.intersection.uniform_random_intersection_graph.rst", "reference/generated/networkx.generators.interval_graph.interval_graph.rst", "reference/generated/networkx.generators.joint_degree_seq.directed_joint_degree_graph.rst", "reference/generated/networkx.generators.joint_degree_seq.is_valid_directed_joint_degree.rst", "reference/generated/networkx.generators.joint_degree_seq.is_valid_joint_degree.rst", "reference/generated/networkx.generators.joint_degree_seq.joint_degree_graph.rst", "reference/generated/networkx.generators.lattice.grid_2d_graph.rst", "reference/generated/networkx.generators.lattice.grid_graph.rst", "reference/generated/networkx.generators.lattice.hexagonal_lattice_graph.rst", "reference/generated/networkx.generators.lattice.hypercube_graph.rst", "reference/generated/networkx.generators.lattice.triangular_lattice_graph.rst", "reference/generated/networkx.generators.line.inverse_line_graph.rst", "reference/generated/networkx.generators.line.line_graph.rst", "reference/generated/networkx.generators.mycielski.mycielski_graph.rst", "reference/generated/networkx.generators.mycielski.mycielskian.rst", "reference/generated/networkx.generators.nonisomorphic_trees.nonisomorphic_trees.rst", "reference/generated/networkx.generators.nonisomorphic_trees.number_of_nonisomorphic_trees.rst", "reference/generated/networkx.generators.random_clustered.random_clustered_graph.rst", "reference/generated/networkx.generators.random_graphs.barabasi_albert_graph.rst", "reference/generated/networkx.generators.random_graphs.binomial_graph.rst", "reference/generated/networkx.generators.random_graphs.connected_watts_strogatz_graph.rst", "reference/generated/networkx.generators.random_graphs.dense_gnm_random_graph.rst", "reference/generated/networkx.generators.random_graphs.dual_barabasi_albert_graph.rst", "reference/generated/networkx.generators.random_graphs.erdos_renyi_graph.rst", "reference/generated/networkx.generators.random_graphs.extended_barabasi_albert_graph.rst", "reference/generated/networkx.generators.random_graphs.fast_gnp_random_graph.rst", "reference/generated/networkx.generators.random_graphs.gnm_random_graph.rst", "reference/generated/networkx.generators.random_graphs.gnp_random_graph.rst", "reference/generated/networkx.generators.random_graphs.newman_watts_strogatz_graph.rst", "reference/generated/networkx.generators.random_graphs.powerlaw_cluster_graph.rst", "reference/generated/networkx.generators.random_graphs.random_kernel_graph.rst", "reference/generated/networkx.generators.random_graphs.random_lobster.rst", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree.rst", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree_sequence.rst", "reference/generated/networkx.generators.random_graphs.random_regular_graph.rst", "reference/generated/networkx.generators.random_graphs.random_shell_graph.rst", "reference/generated/networkx.generators.random_graphs.watts_strogatz_graph.rst", "reference/generated/networkx.generators.small.LCF_graph.rst", "reference/generated/networkx.generators.small.bull_graph.rst", "reference/generated/networkx.generators.small.chvatal_graph.rst", "reference/generated/networkx.generators.small.cubical_graph.rst", "reference/generated/networkx.generators.small.desargues_graph.rst", "reference/generated/networkx.generators.small.diamond_graph.rst", "reference/generated/networkx.generators.small.dodecahedral_graph.rst", "reference/generated/networkx.generators.small.frucht_graph.rst", "reference/generated/networkx.generators.small.heawood_graph.rst", "reference/generated/networkx.generators.small.hoffman_singleton_graph.rst", "reference/generated/networkx.generators.small.house_graph.rst", "reference/generated/networkx.generators.small.house_x_graph.rst", "reference/generated/networkx.generators.small.icosahedral_graph.rst", "reference/generated/networkx.generators.small.krackhardt_kite_graph.rst", "reference/generated/networkx.generators.small.moebius_kantor_graph.rst", "reference/generated/networkx.generators.small.octahedral_graph.rst", "reference/generated/networkx.generators.small.pappus_graph.rst", "reference/generated/networkx.generators.small.petersen_graph.rst", "reference/generated/networkx.generators.small.sedgewick_maze_graph.rst", "reference/generated/networkx.generators.small.tetrahedral_graph.rst", "reference/generated/networkx.generators.small.truncated_cube_graph.rst", "reference/generated/networkx.generators.small.truncated_tetrahedron_graph.rst", "reference/generated/networkx.generators.small.tutte_graph.rst", "reference/generated/networkx.generators.social.davis_southern_women_graph.rst", "reference/generated/networkx.generators.social.florentine_families_graph.rst", "reference/generated/networkx.generators.social.karate_club_graph.rst", "reference/generated/networkx.generators.social.les_miserables_graph.rst", "reference/generated/networkx.generators.spectral_graph_forge.spectral_graph_forge.rst", "reference/generated/networkx.generators.stochastic.stochastic_graph.rst", "reference/generated/networkx.generators.sudoku.sudoku_graph.rst", "reference/generated/networkx.generators.trees.prefix_tree.rst", "reference/generated/networkx.generators.trees.random_tree.rst", "reference/generated/networkx.generators.triads.triad_graph.rst", "reference/generated/networkx.linalg.algebraicconnectivity.algebraic_connectivity.rst", "reference/generated/networkx.linalg.algebraicconnectivity.fiedler_vector.rst", "reference/generated/networkx.linalg.algebraicconnectivity.spectral_ordering.rst", "reference/generated/networkx.linalg.attrmatrix.attr_matrix.rst", "reference/generated/networkx.linalg.attrmatrix.attr_sparse_matrix.rst", "reference/generated/networkx.linalg.bethehessianmatrix.bethe_hessian_matrix.rst", "reference/generated/networkx.linalg.graphmatrix.adjacency_matrix.rst", "reference/generated/networkx.linalg.graphmatrix.incidence_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.directed_combinatorial_laplacian_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.directed_laplacian_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.laplacian_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.normalized_laplacian_matrix.rst", "reference/generated/networkx.linalg.modularitymatrix.directed_modularity_matrix.rst", "reference/generated/networkx.linalg.modularitymatrix.modularity_matrix.rst", "reference/generated/networkx.linalg.spectrum.adjacency_spectrum.rst", "reference/generated/networkx.linalg.spectrum.bethe_hessian_spectrum.rst", "reference/generated/networkx.linalg.spectrum.laplacian_spectrum.rst", "reference/generated/networkx.linalg.spectrum.modularity_spectrum.rst", "reference/generated/networkx.linalg.spectrum.normalized_laplacian_spectrum.rst", "reference/generated/networkx.relabel.convert_node_labels_to_integers.rst", "reference/generated/networkx.relabel.relabel_nodes.rst", "reference/generated/networkx.utils.decorators.argmap.rst", "reference/generated/networkx.utils.decorators.nodes_or_number.rst", "reference/generated/networkx.utils.decorators.not_implemented_for.rst", "reference/generated/networkx.utils.decorators.np_random_state.rst", "reference/generated/networkx.utils.decorators.open_file.rst", "reference/generated/networkx.utils.decorators.py_random_state.rst", "reference/generated/networkx.utils.mapped_queue.MappedQueue.rst", "reference/generated/networkx.utils.misc.arbitrary_element.rst", "reference/generated/networkx.utils.misc.create_py_random_state.rst", "reference/generated/networkx.utils.misc.create_random_state.rst", "reference/generated/networkx.utils.misc.dict_to_numpy_array.rst", "reference/generated/networkx.utils.misc.edges_equal.rst", "reference/generated/networkx.utils.misc.flatten.rst", "reference/generated/networkx.utils.misc.graphs_equal.rst", "reference/generated/networkx.utils.misc.groups.rst", "reference/generated/networkx.utils.misc.make_list_of_ints.rst", "reference/generated/networkx.utils.misc.nodes_equal.rst", "reference/generated/networkx.utils.misc.pairwise.rst", "reference/generated/networkx.utils.random_sequence.cumulative_distribution.rst", "reference/generated/networkx.utils.random_sequence.discrete_sequence.rst", "reference/generated/networkx.utils.random_sequence.powerlaw_sequence.rst", "reference/generated/networkx.utils.random_sequence.random_weighted_sample.rst", "reference/generated/networkx.utils.random_sequence.weighted_choice.rst", "reference/generated/networkx.utils.random_sequence.zipf_rv.rst", "reference/generated/networkx.utils.rcm.cuthill_mckee_ordering.rst", "reference/generated/networkx.utils.rcm.reverse_cuthill_mckee_ordering.rst", "reference/generated/networkx.utils.union_find.UnionFind.union.rst", "reference/generators.rst", "reference/glossary.rst", "reference/index.rst", "reference/introduction.rst", "reference/linalg.rst", "reference/randomness.rst", "reference/readwrite/adjlist.rst", "reference/readwrite/edgelist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.generate_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.parse_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.read_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.write_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.generate_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.parse_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.read_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.read_weighted_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.write_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.write_weighted_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.gexf.generate_gexf.rst", "reference/readwrite/generated/networkx.readwrite.gexf.read_gexf.rst", "reference/readwrite/generated/networkx.readwrite.gexf.relabel_gexf_graph.rst", "reference/readwrite/generated/networkx.readwrite.gexf.write_gexf.rst", "reference/readwrite/generated/networkx.readwrite.gml.generate_gml.rst", "reference/readwrite/generated/networkx.readwrite.gml.literal_destringizer.rst", "reference/readwrite/generated/networkx.readwrite.gml.literal_stringizer.rst", "reference/readwrite/generated/networkx.readwrite.gml.parse_gml.rst", "reference/readwrite/generated/networkx.readwrite.gml.read_gml.rst", "reference/readwrite/generated/networkx.readwrite.gml.write_gml.rst", "reference/readwrite/generated/networkx.readwrite.graph6.from_graph6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.graph6.read_graph6.rst", "reference/readwrite/generated/networkx.readwrite.graph6.to_graph6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.graph6.write_graph6.rst", "reference/readwrite/generated/networkx.readwrite.graphml.generate_graphml.rst", "reference/readwrite/generated/networkx.readwrite.graphml.parse_graphml.rst", "reference/readwrite/generated/networkx.readwrite.graphml.read_graphml.rst", "reference/readwrite/generated/networkx.readwrite.graphml.write_graphml.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_graph.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_graph.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_graph.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_graph.rst", "reference/readwrite/generated/networkx.readwrite.leda.parse_leda.rst", "reference/readwrite/generated/networkx.readwrite.leda.read_leda.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.generate_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.parse_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.read_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.write_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.pajek.generate_pajek.rst", "reference/readwrite/generated/networkx.readwrite.pajek.parse_pajek.rst", "reference/readwrite/generated/networkx.readwrite.pajek.read_pajek.rst", "reference/readwrite/generated/networkx.readwrite.pajek.write_pajek.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.from_sparse6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.read_sparse6.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.to_sparse6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.write_sparse6.rst", "reference/readwrite/generated/networkx.readwrite.text.generate_network_text.rst", "reference/readwrite/generated/networkx.readwrite.text.write_network_text.rst", "reference/readwrite/gexf.rst", "reference/readwrite/gml.rst", "reference/readwrite/graphml.rst", "reference/readwrite/index.rst", "reference/readwrite/json_graph.rst", "reference/readwrite/leda.rst", "reference/readwrite/matrix_market.rst", "reference/readwrite/multiline_adjlist.rst", "reference/readwrite/pajek.rst", "reference/readwrite/sparsegraph6.rst", "reference/readwrite/text.rst", "reference/relabel.rst", "reference/utils.rst", "release/api_0.99.rst", "release/api_1.0.rst", "release/api_1.10.rst", "release/api_1.11.rst", "release/api_1.4.rst", "release/api_1.5.rst", "release/api_1.6.rst", "release/api_1.7.rst", "release/api_1.8.rst", "release/api_1.9.rst", "release/index.rst", "release/migration_guide_from_1.x_to_2.0.rst", "release/migration_guide_from_2.x_to_3.0.rst", "release/old_release_log.rst", "release/release_2.0.rst", "release/release_2.1.rst", "release/release_2.2.rst", "release/release_2.3.rst", "release/release_2.4.rst", "release/release_2.5.rst", "release/release_2.6.rst", "release/release_2.7.rst", "release/release_2.7.1.rst", "release/release_2.8.rst", "release/release_2.8.1.rst", "release/release_2.8.2.rst", "release/release_2.8.3.rst", "release/release_2.8.4.rst", "release/release_2.8.5.rst", "release/release_2.8.6.rst", "release/release_2.8.7.rst", "release/release_2.8.8.rst", "release/release_3.0.rst", "release/release_dev.rst", "tutorial.rst"], "titles": ["3D Drawing", "Mayavi2", "Basic matplotlib", "Computation times", "Algorithms", "Beam Search", "Betweenness Centrality", "Blockmodel", "Circuits", "Davis Club", "Dedensification", "Iterated Dynamical Systems", "Krackhardt Centrality", "Maximum Independent Set", "Parallel Betweenness", "Reverse Cuthill\u2013McKee", "SNAP Graph Summary", "Subgraphs", "Computation times", "Basic", "Properties", "Read and write graphs.", "Simple graph", "Computation times", "Drawing", "Custom Node Position", "Chess Masters", "Custom node icons", "Degree Analysis", "Directed Graph", "Edge Colormap", "Ego Graph", "Eigenvalues", "Four Grids", "House With Colors", "Knuth Miles", "Labels And Colors", "Multipartite Layout", "Node Colormap", "Rainbow Coloring", "Random Geometric Graph", "Sampson", "Self-loops", "Simple Path", "Spectral Embedding", "Traveling Salesman Problem", "Unix Email", "Weighted Graph", "Computation times", "External libraries", "Javascript", "igraph", "Computation times", "Geospatial Examples Description", "Geospatial", "Delaunay graphs from geographic points", "Graphs from a set of lines", "OpenStreetMap with OSMnx", "Graphs from geographic points", "Graphs from Polygons", "Computation times", "Graph", "DAG - Topological Layout", "Degree Sequence", "Erdos Renyi", "Expected Degree Sequence", "Football", "Karate Club", "Morse Trie", "Napoleon Russian Campaign", "Roget", "Triads", "Words/Ladder Graph", "Computation times", "Graphviz Drawing", "Attributes", "Conversion", "2D Grid", "Atlas", "Computation times", "Graphviz Layout", "Atlas", "Circular Tree", "Decomposition", "Giant Component", "Lanl Routes", "Computation times", "Gallery", "Subclass", "Antigraph", "Print Graph", "Computation times", "About Us", "Code of Conduct", "Contributor Guide", "Core Developer Guide", "Deprecations", "Developer", "New Contributor FAQ", "NXEPs", "NXEP 0 \u2014 Purpose and Process", "NXEP 1 \u2014 Governance and Decision Making", "NXEP 2 \u2014 API design of view slices", "NXEP 3 \u2014 Graph Builders", "NXEP 4 \u2014 Adopting <code class=\"xref py py-obj docutils literal notranslate\"><span class=\"pre\">numpy.random.Generator</span></code> as default random interface", "NXEP X \u2014 Template and Instructions", "Mentored Projects", "Release Process", "Roadmap", "Core Developers", "Mission and Values", "Software for Complex Networks", "Install", "Approximations and Heuristics", "Assortativity", "Asteroidal", "Bipartite", "Boundary", "Bridges", "Centrality", "Chains", "Chordal", "Clique", "Clustering", "Coloring", "Communicability", "Communities", "Components", "Connectivity", "Cores", "Covering", "Cuts", "Cycles", "D-Separation", "Directed Acyclic Graphs", "Distance Measures", "Distance-Regular Graphs", "Dominance", "Dominating Sets", "Efficiency", "Eulerian", "Flows", "EdgeComponentAuxGraph.construct", "EdgeComponentAuxGraph.k_edge_components", "EdgeComponentAuxGraph.k_edge_subgraphs", "ISMAGS.analyze_symmetry", "ISMAGS.find_isomorphisms", "ISMAGS.is_isomorphic", "ISMAGS.isomorphisms_iter", "ISMAGS.largest_common_subgraph", "ISMAGS.subgraph_is_isomorphic", "ISMAGS.subgraph_isomorphisms_iter", "PlanarEmbedding.add_edge", "PlanarEmbedding.add_edges_from", "PlanarEmbedding.add_half_edge_ccw", "PlanarEmbedding.add_half_edge_cw", "PlanarEmbedding.add_half_edge_first", "PlanarEmbedding.add_node", "PlanarEmbedding.add_nodes_from", "PlanarEmbedding.add_weighted_edges_from", "PlanarEmbedding.adj", "PlanarEmbedding.adjacency", "PlanarEmbedding.check_structure", "PlanarEmbedding.clear", "PlanarEmbedding.clear_edges", "PlanarEmbedding.connect_components", "PlanarEmbedding.copy", "PlanarEmbedding.degree", "PlanarEmbedding.edge_subgraph", "PlanarEmbedding.edges", "PlanarEmbedding.get_data", "PlanarEmbedding.get_edge_data", "PlanarEmbedding.has_edge", "PlanarEmbedding.has_node", "PlanarEmbedding.has_predecessor", "PlanarEmbedding.has_successor", "PlanarEmbedding.in_degree", "PlanarEmbedding.in_edges", "PlanarEmbedding.is_directed", "PlanarEmbedding.is_multigraph", "PlanarEmbedding.name", "PlanarEmbedding.nbunch_iter", "PlanarEmbedding.neighbors", "PlanarEmbedding.neighbors_cw_order", "PlanarEmbedding.next_face_half_edge", "PlanarEmbedding.nodes", "PlanarEmbedding.number_of_edges", "PlanarEmbedding.number_of_nodes", "PlanarEmbedding.order", "PlanarEmbedding.out_degree", "PlanarEmbedding.out_edges", "PlanarEmbedding.pred", "PlanarEmbedding.predecessors", "PlanarEmbedding.remove_edge", "PlanarEmbedding.remove_edges_from", "PlanarEmbedding.remove_node", "PlanarEmbedding.remove_nodes_from", "PlanarEmbedding.reverse", "PlanarEmbedding.set_data", "PlanarEmbedding.size", "PlanarEmbedding.subgraph", "PlanarEmbedding.succ", "PlanarEmbedding.successors", "PlanarEmbedding.to_directed", "PlanarEmbedding.to_directed_class", "PlanarEmbedding.to_undirected", "PlanarEmbedding.to_undirected_class", "PlanarEmbedding.traverse_face", "PlanarEmbedding.update", "Edmonds.find_optimum", "clique_removal", "large_clique_size", "max_clique", "maximum_independent_set", "average_clustering", "all_pairs_node_connectivity", "local_node_connectivity", "node_connectivity", "diameter", "min_edge_dominating_set", "min_weighted_dominating_set", "k_components", "min_maximal_matching", "one_exchange", "randomized_partitioning", "ramsey_R2", "metric_closure", "steiner_tree", "asadpour_atsp", "christofides", "greedy_tsp", "simulated_annealing_tsp", "threshold_accepting_tsp", "traveling_salesman_problem", "treewidth_min_degree", "treewidth_min_fill_in", "min_weighted_vertex_cover", "attribute_assortativity_coefficient", "attribute_mixing_dict", "attribute_mixing_matrix", "average_degree_connectivity", "average_neighbor_degree", "degree_assortativity_coefficient", "degree_mixing_dict", "degree_mixing_matrix", "degree_pearson_correlation_coefficient", "mixing_dict", "node_attribute_xy", "node_degree_xy", "numeric_assortativity_coefficient", "find_asteroidal_triple", "is_at_free", "color", "degrees", "density", "is_bipartite", "is_bipartite_node_set", "sets", "betweenness_centrality", "closeness_centrality", "degree_centrality", "average_clustering", "clustering", "latapy_clustering", "robins_alexander_clustering", "min_edge_cover", "generate_edgelist", "parse_edgelist", "read_edgelist", "write_edgelist", "alternating_havel_hakimi_graph", "complete_bipartite_graph", "configuration_model", "gnmk_random_graph", "havel_hakimi_graph", "preferential_attachment_graph", "random_graph", "reverse_havel_hakimi_graph", "eppstein_matching", "hopcroft_karp_matching", "maximum_matching", "minimum_weight_full_matching", "to_vertex_cover", "biadjacency_matrix", "from_biadjacency_matrix", "collaboration_weighted_projected_graph", "generic_weighted_projected_graph", "overlap_weighted_projected_graph", "projected_graph", "weighted_projected_graph", "node_redundancy", "spectral_bipartivity", "edge_boundary", "node_boundary", "bridges", "has_bridges", "local_bridges", "approximate_current_flow_betweenness_centrality", "betweenness_centrality", "betweenness_centrality_subset", "closeness_centrality", "communicability_betweenness_centrality", "current_flow_betweenness_centrality", "current_flow_betweenness_centrality_subset", "current_flow_closeness_centrality", "degree_centrality", "dispersion", "edge_betweenness_centrality", "edge_betweenness_centrality_subset", "edge_current_flow_betweenness_centrality", "edge_current_flow_betweenness_centrality_subset", "edge_load_centrality", "eigenvector_centrality", "eigenvector_centrality_numpy", "estrada_index", "global_reaching_centrality", "group_betweenness_centrality", "group_closeness_centrality", "group_degree_centrality", "group_in_degree_centrality", "group_out_degree_centrality", "harmonic_centrality", "in_degree_centrality", "incremental_closeness_centrality", "information_centrality", "katz_centrality", "katz_centrality_numpy", "laplacian_centrality", "load_centrality", "local_reaching_centrality", "out_degree_centrality", "percolation_centrality", "prominent_group", "second_order_centrality", "subgraph_centrality", "subgraph_centrality_exp", "trophic_differences", "trophic_incoherence_parameter", "trophic_levels", "voterank", "chain_decomposition", "chordal_graph_cliques", "chordal_graph_treewidth", "complete_to_chordal_graph", "find_induced_nodes", "is_chordal", "cliques_containing_node", "enumerate_all_cliques", "find_cliques", "find_cliques_recursive", "graph_clique_number", "graph_number_of_cliques", "make_clique_bipartite", "make_max_clique_graph", "max_weight_clique", "node_clique_number", "number_of_cliques", "average_clustering", "clustering", "generalized_degree", "square_clustering", "transitivity", "triangles", "equitable_color", "greedy_color", "strategy_connected_sequential", "strategy_connected_sequential_bfs", "strategy_connected_sequential_dfs", "strategy_independent_set", "strategy_largest_first", "strategy_random_sequential", "strategy_saturation_largest_first", "strategy_smallest_last", "communicability", "communicability_exp", "asyn_fluidc", "girvan_newman", "is_partition", "k_clique_communities", "kernighan_lin_bisection", "asyn_lpa_communities", "label_propagation_communities", "louvain_communities", "louvain_partitions", "lukes_partitioning", "greedy_modularity_communities", "naive_greedy_modularity_communities", "modularity", "partition_quality", "articulation_points", "attracting_components", "biconnected_component_edges", "biconnected_components", "condensation", "connected_components", "is_attracting_component", "is_biconnected", "is_connected", "is_semiconnected", "is_strongly_connected", "is_weakly_connected", "kosaraju_strongly_connected_components", "node_connected_component", "number_attracting_components", "number_connected_components", "number_strongly_connected_components", "number_weakly_connected_components", "strongly_connected_components", "strongly_connected_components_recursive", "weakly_connected_components", "all_pairs_node_connectivity", "average_node_connectivity", "edge_connectivity", "local_edge_connectivity", "local_node_connectivity", "node_connectivity", "minimum_edge_cut", "minimum_node_cut", "minimum_st_edge_cut", "minimum_st_node_cut", "edge_disjoint_paths", "node_disjoint_paths", "is_k_edge_connected", "is_locally_k_edge_connected", "k_edge_augmentation", "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph", "bridge_components", "k_edge_components", "k_edge_subgraphs", "k_components", "all_node_cuts", "stoer_wagner", "build_auxiliary_edge_connectivity", "build_auxiliary_node_connectivity", "core_number", "k_core", "k_corona", "k_crust", "k_shell", "k_truss", "onion_layers", "is_edge_cover", "min_edge_cover", "boundary_expansion", "conductance", "cut_size", "edge_expansion", "mixing_expansion", "node_expansion", "normalized_cut_size", "volume", "cycle_basis", "find_cycle", "minimum_cycle_basis", "recursive_simple_cycles", "simple_cycles", "d_separated", "all_topological_sorts", "ancestors", "antichains", "dag_longest_path", "dag_longest_path_length", "dag_to_branching", "descendants", "is_aperiodic", "is_directed_acyclic_graph", "lexicographical_topological_sort", "topological_generations", "topological_sort", "transitive_closure", "transitive_closure_dag", "transitive_reduction", "barycenter", "center", "diameter", "eccentricity", "periphery", "radius", "resistance_distance", "global_parameters", "intersection_array", "is_distance_regular", "is_strongly_regular", "dominance_frontiers", "immediate_dominators", "dominating_set", "is_dominating_set", "efficiency", "global_efficiency", "local_efficiency", "eulerian_circuit", "eulerian_path", "eulerize", "has_eulerian_path", "is_eulerian", "is_semieulerian", "boykov_kolmogorov", "build_residual_network", "capacity_scaling", "cost_of_flow", "dinitz", "edmonds_karp", "gomory_hu_tree", "max_flow_min_cost", "maximum_flow", "maximum_flow_value", "min_cost_flow", "min_cost_flow_cost", "minimum_cut", "minimum_cut_value", "network_simplex", "preflow_push", "shortest_augmenting_path", "weisfeiler_lehman_graph_hash", "weisfeiler_lehman_subgraph_hashes", "is_digraphical", "is_graphical", "is_multigraphical", "is_pseudographical", "is_valid_degree_sequence_erdos_gallai", "is_valid_degree_sequence_havel_hakimi", "flow_hierarchy", "is_kl_connected", "kl_connected_subgraph", "is_isolate", "isolates", "number_of_isolates", "DiGraphMatcher.__init__", "DiGraphMatcher.candidate_pairs_iter", "DiGraphMatcher.initialize", "DiGraphMatcher.is_isomorphic", "DiGraphMatcher.isomorphisms_iter", "DiGraphMatcher.match", "DiGraphMatcher.semantic_feasibility", "DiGraphMatcher.subgraph_is_isomorphic", "DiGraphMatcher.subgraph_isomorphisms_iter", "DiGraphMatcher.syntactic_feasibility", "GraphMatcher.__init__", "GraphMatcher.candidate_pairs_iter", "GraphMatcher.initialize", "GraphMatcher.is_isomorphic", "GraphMatcher.isomorphisms_iter", "GraphMatcher.match", "GraphMatcher.semantic_feasibility", "GraphMatcher.subgraph_is_isomorphic", "GraphMatcher.subgraph_isomorphisms_iter", "GraphMatcher.syntactic_feasibility", "networkx.algorithms.isomorphism.ISMAGS", "categorical_edge_match", "categorical_multiedge_match", "categorical_node_match", "could_be_isomorphic", "fast_could_be_isomorphic", "faster_could_be_isomorphic", "generic_edge_match", "generic_multiedge_match", "generic_node_match", "is_isomorphic", "numerical_edge_match", "numerical_multiedge_match", "numerical_node_match", "rooted_tree_isomorphism", "tree_isomorphism", "vf2pp_all_isomorphisms", "vf2pp_is_isomorphic", "vf2pp_isomorphism", "hits", "google_matrix", "pagerank", "adamic_adar_index", "cn_soundarajan_hopcroft", "common_neighbor_centrality", "jaccard_coefficient", "preferential_attachment", "ra_index_soundarajan_hopcroft", "resource_allocation_index", "within_inter_cluster", "all_pairs_lowest_common_ancestor", "lowest_common_ancestor", "tree_all_pairs_lowest_common_ancestor", "is_matching", "is_maximal_matching", "is_perfect_matching", "max_weight_matching", "maximal_matching", "min_weight_matching", "contracted_edge", "contracted_nodes", "equivalence_classes", "identified_nodes", "quotient_graph", "maximal_independent_set", "moral_graph", "harmonic_function", "local_and_global_consistency", "non_randomness", "compose_all", "disjoint_union_all", "intersection_all", "union_all", "compose", "difference", "disjoint_union", "full_join", "intersection", "symmetric_difference", "union", "cartesian_product", "corona_product", "lexicographic_product", "power", "rooted_product", "strong_product", "tensor_product", "complement", "reverse", "combinatorial_embedding_to_pos", "networkx.algorithms.planarity.PlanarEmbedding", "check_planarity", "is_planar", "chromatic_polynomial", "tutte_polynomial", "overall_reciprocity", "reciprocity", "is_k_regular", "is_regular", "k_factor", "rich_club_coefficient", "astar_path", "astar_path_length", "floyd_warshall", "floyd_warshall_numpy", "floyd_warshall_predecessor_and_distance", "reconstruct_path", "all_shortest_paths", "average_shortest_path_length", "has_path", "shortest_path", "shortest_path_length", "all_pairs_shortest_path", "all_pairs_shortest_path_length", "bidirectional_shortest_path", "predecessor", "single_source_shortest_path", "single_source_shortest_path_length", "single_target_shortest_path", "single_target_shortest_path_length", "all_pairs_bellman_ford_path", "all_pairs_bellman_ford_path_length", "all_pairs_dijkstra", "all_pairs_dijkstra_path", "all_pairs_dijkstra_path_length", "bellman_ford_path", "bellman_ford_path_length", "bellman_ford_predecessor_and_distance", "bidirectional_dijkstra", "dijkstra_path", "dijkstra_path_length", "dijkstra_predecessor_and_distance", "find_negative_cycle", "goldberg_radzik", "johnson", "multi_source_dijkstra", "multi_source_dijkstra_path", "multi_source_dijkstra_path_length", "negative_edge_cycle", "single_source_bellman_ford", "single_source_bellman_ford_path", "single_source_bellman_ford_path_length", "single_source_dijkstra", "single_source_dijkstra_path", "single_source_dijkstra_path_length", "generate_random_paths", "graph_edit_distance", "optimal_edit_paths", "optimize_edit_paths", "optimize_graph_edit_distance", "panther_similarity", "simrank_similarity", "all_simple_edge_paths", "all_simple_paths", "is_simple_path", "shortest_simple_paths", "lattice_reference", "omega", "random_reference", "sigma", "s_metric", "spanner", "constraint", "effective_size", "local_constraint", "dedensify", "snap_aggregation", "connected_double_edge_swap", "directed_edge_swap", "double_edge_swap", "find_threshold_graph", "is_threshold_graph", "hamiltonian_path", "is_reachable", "is_strongly_connected", "is_tournament", "random_tournament", "score_sequence", "bfs_beam_edges", "bfs_edges", "bfs_layers", "bfs_predecessors", "bfs_successors", "bfs_tree", "descendants_at_distance", "dfs_edges", "dfs_labeled_edges", "dfs_postorder_nodes", "dfs_predecessors", "dfs_preorder_nodes", "dfs_successors", "dfs_tree", "edge_bfs", "edge_dfs", "networkx.algorithms.tree.branchings.ArborescenceIterator", "networkx.algorithms.tree.branchings.Edmonds", "branching_weight", "greedy_branching", "maximum_branching", "maximum_spanning_arborescence", "minimum_branching", "minimum_spanning_arborescence", "NotATree", "from_nested_tuple", "from_prufer_sequence", "to_nested_tuple", "to_prufer_sequence", "junction_tree", "networkx.algorithms.tree.mst.SpanningTreeIterator", "maximum_spanning_edges", "maximum_spanning_tree", "minimum_spanning_edges", "minimum_spanning_tree", "random_spanning_tree", "join", "is_arborescence", "is_branching", "is_forest", "is_tree", "all_triads", "all_triplets", "is_triad", "random_triad", "triad_type", "triadic_census", "triads_by_type", "closeness_vitality", "voronoi_cells", "wiener_index", "Graph Hashing", "Graphical degree sequence", "Hierarchy", "Hybrid", "Algorithms", "Isolates", "Isomorphism", "ISMAGS Algorithm", "VF2 Algorithm", "Link Analysis", "Link Prediction", "Lowest Common Ancestor", "Matching", "Minors", "Maximal independent set", "Moral", "Node Classification", "non-randomness", "Operators", "Planar Drawing", "Planarity", "Graph Polynomials", "Reciprocity", "Regular", "Rich Club", "Shortest Paths", "Similarity Measures", "Simple Paths", "Small-world", "s metric", "Sparsifiers", "Structural holes", "Summarization", "Swap", "Threshold Graphs", "Tournament", "Traversal", "Tree", "Triads", "Vitality", "Voronoi cells", "Wiener index", "DiGraph\u2014Directed graphs with self loops", "AdjacencyView.copy", "AdjacencyView.get", "AdjacencyView.items", "AdjacencyView.keys", "AdjacencyView.values", "AtlasView.copy", "AtlasView.get", "AtlasView.items", "AtlasView.keys", "AtlasView.values", "FilterAdjacency.get", "FilterAdjacency.items", "FilterAdjacency.keys", "FilterAdjacency.values", "FilterAtlas.get", "FilterAtlas.items", "FilterAtlas.keys", "FilterAtlas.values", "FilterMultiAdjacency.get", "FilterMultiAdjacency.items", "FilterMultiAdjacency.keys", "FilterMultiAdjacency.values", "FilterMultiInner.get", "FilterMultiInner.items", "FilterMultiInner.keys", "FilterMultiInner.values", "MultiAdjacencyView.copy", "MultiAdjacencyView.get", "MultiAdjacencyView.items", "MultiAdjacencyView.keys", "MultiAdjacencyView.values", "UnionAdjacency.copy", "UnionAdjacency.get", "UnionAdjacency.items", "UnionAdjacency.keys", "UnionAdjacency.values", "UnionAtlas.copy", "UnionAtlas.get", "UnionAtlas.items", "UnionAtlas.keys", "UnionAtlas.values", "UnionMultiAdjacency.copy", "UnionMultiAdjacency.get", "UnionMultiAdjacency.items", "UnionMultiAdjacency.keys", "UnionMultiAdjacency.values", "UnionMultiInner.copy", "UnionMultiInner.get", "UnionMultiInner.items", "UnionMultiInner.keys", "UnionMultiInner.values", "DiGraph.__contains__", "DiGraph.__getitem__", "DiGraph.__init__", "DiGraph.__iter__", "DiGraph.__len__", "DiGraph.add_edge", "DiGraph.add_edges_from", "DiGraph.add_node", "DiGraph.add_nodes_from", "DiGraph.add_weighted_edges_from", "DiGraph.adj", "DiGraph.adjacency", "DiGraph.clear", "DiGraph.clear_edges", "DiGraph.copy", "DiGraph.degree", "DiGraph.edge_subgraph", "DiGraph.edges", "DiGraph.get_edge_data", "DiGraph.has_edge", "DiGraph.has_node", "DiGraph.in_degree", "DiGraph.in_edges", "DiGraph.nbunch_iter", "DiGraph.neighbors", "DiGraph.nodes", "DiGraph.number_of_edges", "DiGraph.number_of_nodes", "DiGraph.order", "DiGraph.out_degree", "DiGraph.out_edges", "DiGraph.pred", "DiGraph.predecessors", "DiGraph.remove_edge", "DiGraph.remove_edges_from", "DiGraph.remove_node", "DiGraph.remove_nodes_from", "DiGraph.reverse", "DiGraph.size", "DiGraph.subgraph", "DiGraph.succ", "DiGraph.successors", "DiGraph.to_directed", "DiGraph.to_undirected", "DiGraph.update", "Graph.__contains__", "Graph.__getitem__", "Graph.__init__", "Graph.__iter__", "Graph.__len__", "Graph.add_edge", "Graph.add_edges_from", "Graph.add_node", "Graph.add_nodes_from", "Graph.add_weighted_edges_from", "Graph.adj", "Graph.adjacency", "Graph.clear", "Graph.clear_edges", "Graph.copy", "Graph.degree", "Graph.edge_subgraph", "Graph.edges", "Graph.get_edge_data", "Graph.has_edge", "Graph.has_node", "Graph.nbunch_iter", "Graph.neighbors", "Graph.nodes", "Graph.number_of_edges", "Graph.number_of_nodes", "Graph.order", "Graph.remove_edge", "Graph.remove_edges_from", "Graph.remove_node", "Graph.remove_nodes_from", "Graph.size", "Graph.subgraph", "Graph.to_directed", "Graph.to_undirected", "Graph.update", "MultiDiGraph.__contains__", "MultiDiGraph.__getitem__", "MultiDiGraph.__init__", "MultiDiGraph.__iter__", "MultiDiGraph.__len__", "MultiDiGraph.add_edge", "MultiDiGraph.add_edges_from", "MultiDiGraph.add_node", "MultiDiGraph.add_nodes_from", "MultiDiGraph.add_weighted_edges_from", "MultiDiGraph.adj", "MultiDiGraph.adjacency", "MultiDiGraph.clear", "MultiDiGraph.clear_edges", "MultiDiGraph.copy", "MultiDiGraph.degree", "MultiDiGraph.edge_subgraph", "MultiDiGraph.edges", "MultiDiGraph.get_edge_data", "MultiDiGraph.has_edge", "MultiDiGraph.has_node", "MultiDiGraph.in_degree", "MultiDiGraph.in_edges", "MultiDiGraph.nbunch_iter", "MultiDiGraph.neighbors", "MultiDiGraph.new_edge_key", "MultiDiGraph.nodes", "MultiDiGraph.number_of_edges", "MultiDiGraph.number_of_nodes", "MultiDiGraph.order", "MultiDiGraph.out_degree", "MultiDiGraph.out_edges", "MultiDiGraph.pred", "MultiDiGraph.predecessors", "MultiDiGraph.remove_edge", "MultiDiGraph.remove_edges_from", "MultiDiGraph.remove_node", "MultiDiGraph.remove_nodes_from", "MultiDiGraph.reverse", "MultiDiGraph.size", "MultiDiGraph.subgraph", "MultiDiGraph.succ", "MultiDiGraph.successors", "MultiDiGraph.to_directed", "MultiDiGraph.to_undirected", "MultiDiGraph.update", "MultiGraph.__contains__", "MultiGraph.__getitem__", "MultiGraph.__init__", "MultiGraph.__iter__", "MultiGraph.__len__", "MultiGraph.add_edge", "MultiGraph.add_edges_from", "MultiGraph.add_node", "MultiGraph.add_nodes_from", "MultiGraph.add_weighted_edges_from", "MultiGraph.adj", "MultiGraph.adjacency", "MultiGraph.clear", "MultiGraph.clear_edges", "MultiGraph.copy", "MultiGraph.degree", "MultiGraph.edge_subgraph", "MultiGraph.edges", "MultiGraph.get_edge_data", "MultiGraph.has_edge", "MultiGraph.has_node", "MultiGraph.nbunch_iter", "MultiGraph.neighbors", "MultiGraph.new_edge_key", "MultiGraph.nodes", "MultiGraph.number_of_edges", "MultiGraph.number_of_nodes", "MultiGraph.order", "MultiGraph.remove_edge", "MultiGraph.remove_edges_from", "MultiGraph.remove_node", "MultiGraph.remove_nodes_from", "MultiGraph.size", "MultiGraph.subgraph", "MultiGraph.to_directed", "MultiGraph.to_undirected", "MultiGraph.update", "_dispatch", "networkx.classes.coreviews.AdjacencyView", "networkx.classes.coreviews.AtlasView", "networkx.classes.coreviews.FilterAdjacency", "networkx.classes.coreviews.FilterAtlas", "networkx.classes.coreviews.FilterMultiAdjacency", "networkx.classes.coreviews.FilterMultiInner", "networkx.classes.coreviews.MultiAdjacencyView", "networkx.classes.coreviews.UnionAdjacency", "networkx.classes.coreviews.UnionAtlas", "networkx.classes.coreviews.UnionMultiAdjacency", "networkx.classes.coreviews.UnionMultiInner", "hide_diedges", "hide_edges", "hide_multidiedges", "hide_multiedges", "hide_nodes", "no_filter", "show_diedges", "show_edges", "show_multidiedges", "show_multiedges", "networkx.classes.filters.show_nodes", "generic_graph_view", "reverse_view", "subgraph_view", "Graph\u2014Undirected graphs with self loops", "Graph types", "MultiDiGraph\u2014Directed graphs with self loops and parallel edges", "MultiGraph\u2014Undirected graphs with self loops and parallel edges", "Converting to and from other data formats", "Drawing", "Exceptions", "Functions", "argmap.assemble", "argmap.compile", "argmap.signature", "MappedQueue.pop", "MappedQueue.push", "MappedQueue.remove", "MappedQueue.update", "add_cycle", "add_path", "add_star", "all_neighbors", "common_neighbors", "create_empty_copy", "degree", "degree_histogram", "density", "edge_subgraph", "edges", "freeze", "get_edge_attributes", "get_node_attributes", "induced_subgraph", "is_directed", "is_empty", "is_frozen", "is_negatively_weighted", "is_path", "is_weighted", "neighbors", "nodes", "nodes_with_selfloops", "non_edges", "non_neighbors", "number_of_edges", "number_of_nodes", "number_of_selfloops", "path_weight", "restricted_view", "reverse_view", "selfloop_edges", "set_edge_attributes", "set_node_attributes", "subgraph", "subgraph_view", "to_directed", "to_undirected", "from_dict_of_dicts", "from_dict_of_lists", "from_edgelist", "to_dict_of_dicts", "to_dict_of_lists", "to_edgelist", "to_networkx_graph", "from_numpy_array", "from_pandas_adjacency", "from_pandas_edgelist", "from_scipy_sparse_array", "to_numpy_array", "to_pandas_adjacency", "to_pandas_edgelist", "to_scipy_sparse_array", "bipartite_layout", "circular_layout", "kamada_kawai_layout", "multipartite_layout", "planar_layout", "random_layout", "rescale_layout", "rescale_layout_dict", "shell_layout", "spectral_layout", "spiral_layout", "spring_layout", "from_agraph", "graphviz_layout", "pygraphviz_layout", "read_dot", "to_agraph", "write_dot", "to_latex", "to_latex_raw", "write_latex", "from_pydot", "graphviz_layout", "pydot_layout", "read_dot", "to_pydot", "write_dot", "draw", "draw_circular", "draw_kamada_kawai", "draw_networkx", "draw_networkx_edge_labels", "draw_networkx_edges", "draw_networkx_labels", "draw_networkx_nodes", "draw_planar", "draw_random", "draw_shell", "draw_spectral", "draw_spring", "graph_atlas", "graph_atlas_g", "balanced_tree", "barbell_graph", "binomial_tree", "circulant_graph", "circular_ladder_graph", "complete_graph", "complete_multipartite_graph", "cycle_graph", "dorogovtsev_goltsev_mendes_graph", "empty_graph", "full_rary_tree", "ladder_graph", "lollipop_graph", "null_graph", "path_graph", "star_graph", "trivial_graph", "turan_graph", "wheel_graph", "random_cograph", "LFR_benchmark_graph", "caveman_graph", "connected_caveman_graph", "gaussian_random_partition_graph", "planted_partition_graph", "random_partition_graph", "relaxed_caveman_graph", "ring_of_cliques", "stochastic_block_model", "windmill_graph", "configuration_model", "degree_sequence_tree", "directed_configuration_model", "directed_havel_hakimi_graph", "expected_degree_graph", "havel_hakimi_graph", "random_degree_sequence_graph", "gn_graph", "gnc_graph", "gnr_graph", "random_k_out_graph", "scale_free_graph", "duplication_divergence_graph", "partial_duplication_graph", "ego_graph", "chordal_cycle_graph", "margulis_gabber_galil_graph", "paley_graph", "geographical_threshold_graph", "geometric_edges", "navigable_small_world_graph", "random_geometric_graph", "soft_random_geometric_graph", "thresholded_random_geometric_graph", "waxman_graph", "hkn_harary_graph", "hnm_harary_graph", "random_internet_as_graph", "general_random_intersection_graph", "k_random_intersection_graph", "uniform_random_intersection_graph", "interval_graph", "directed_joint_degree_graph", "is_valid_directed_joint_degree", "is_valid_joint_degree", "joint_degree_graph", "grid_2d_graph", "grid_graph", "hexagonal_lattice_graph", "hypercube_graph", "triangular_lattice_graph", "inverse_line_graph", "line_graph", "mycielski_graph", "mycielskian", "nonisomorphic_trees", "number_of_nonisomorphic_trees", "random_clustered_graph", "barabasi_albert_graph", "binomial_graph", "connected_watts_strogatz_graph", "dense_gnm_random_graph", "dual_barabasi_albert_graph", "erdos_renyi_graph", "extended_barabasi_albert_graph", "fast_gnp_random_graph", "gnm_random_graph", "gnp_random_graph", "newman_watts_strogatz_graph", "powerlaw_cluster_graph", "random_kernel_graph", "random_lobster", "random_powerlaw_tree", "random_powerlaw_tree_sequence", "random_regular_graph", "random_shell_graph", "watts_strogatz_graph", "LCF_graph", "bull_graph", "chvatal_graph", "cubical_graph", "desargues_graph", "diamond_graph", "dodecahedral_graph", "frucht_graph", "heawood_graph", "hoffman_singleton_graph", "house_graph", "house_x_graph", "icosahedral_graph", "krackhardt_kite_graph", "moebius_kantor_graph", "octahedral_graph", "pappus_graph", "petersen_graph", "sedgewick_maze_graph", "tetrahedral_graph", "truncated_cube_graph", "truncated_tetrahedron_graph", "tutte_graph", "davis_southern_women_graph", "florentine_families_graph", "karate_club_graph", "les_miserables_graph", "spectral_graph_forge", "stochastic_graph", "sudoku_graph", "prefix_tree", "random_tree", "triad_graph", "algebraic_connectivity", "fiedler_vector", "spectral_ordering", "attr_matrix", "attr_sparse_matrix", "bethe_hessian_matrix", "adjacency_matrix", "incidence_matrix", "directed_combinatorial_laplacian_matrix", "directed_laplacian_matrix", "laplacian_matrix", "normalized_laplacian_matrix", "directed_modularity_matrix", "modularity_matrix", "adjacency_spectrum", "bethe_hessian_spectrum", "laplacian_spectrum", "modularity_spectrum", "normalized_laplacian_spectrum", "convert_node_labels_to_integers", "relabel_nodes", "networkx.utils.decorators.argmap", "nodes_or_number", "not_implemented_for", "np_random_state", "open_file", "py_random_state", "networkx.utils.mapped_queue.MappedQueue", "arbitrary_element", "create_py_random_state", "create_random_state", "dict_to_numpy_array", "edges_equal", "flatten", "graphs_equal", "groups", "make_list_of_ints", "nodes_equal", "pairwise", "cumulative_distribution", "discrete_sequence", "powerlaw_sequence", "random_weighted_sample", "weighted_choice", "zipf_rv", "cuthill_mckee_ordering", "reverse_cuthill_mckee_ordering", "UnionFind.union", "Graph generators", "Glossary", "Reference", "Introduction", "Linear algebra", "Randomness", "Adjacency List", "Edge List", "generate_adjlist", "parse_adjlist", "read_adjlist", "write_adjlist", "generate_edgelist", "parse_edgelist", "read_edgelist", "read_weighted_edgelist", "write_edgelist", "write_weighted_edgelist", "generate_gexf", "read_gexf", "relabel_gexf_graph", "write_gexf", "generate_gml", "literal_destringizer", "literal_stringizer", "parse_gml", "read_gml", "write_gml", "from_graph6_bytes", "read_graph6", "to_graph6_bytes", "write_graph6", "generate_graphml", "parse_graphml", "read_graphml", "write_graphml", "adjacency_data", "adjacency_graph", "cytoscape_data", "cytoscape_graph", "node_link_data", "node_link_graph", "tree_data", "tree_graph", "parse_leda", "read_leda", "generate_multiline_adjlist", "parse_multiline_adjlist", "read_multiline_adjlist", "write_multiline_adjlist", "generate_pajek", "parse_pajek", "read_pajek", "write_pajek", "from_sparse6_bytes", "read_sparse6", "to_sparse6_bytes", "write_sparse6", "generate_network_text", "write_network_text", "GEXF", "GML", "GraphML", "Reading and writing graphs", "JSON", "LEDA", "Matrix Market", "Multiline Adjacency List", "Pajek", "SparseGraph6", "Network Text", "Relabeling nodes", "Utilities", "NetworkX 0.99", "NetworkX 1.0", "NetworkX 1.10", "NetworkX 1.11", "NetworkX 1.4", "NetworkX 1.5", "NetworkX 1.6", "NetworkX 1.7", "NetworkX 1.8", "NetworkX 1.9", "Releases", "Migration guide from 1.X to 2.0", "Migration guide from 2.X to 3.0", "Old Release Log", "NetworkX 2.0", "NetworkX 2.1", "NetworkX 2.2", "NetworkX 2.3", "NetworkX 2.4", "NetworkX 2.5", "NetworkX 2.6", "NetworkX 2.7", "NetworkX 2.7.1", "NetworkX 2.8", "NetworkX 2.8.1", "NetworkX 2.8.2", "NetworkX 2.8.3", "NetworkX 2.8.4", "NetworkX 2.8.5", "NetworkX 2.8.6", "NetworkX 2.8.7", "NetworkX 2.8.8", "NetworkX 3.0", "3.1 (unreleased)", "Tutorial"], "terms": {"mayavi2": [0, 3, 87], "basic": [0, 3, 98, 106, 111, 261, 262, 263, 290, 299, 308, 760, 792, 1045, 1171, 1181, 1186, 1307, 1331, 1389, 1411, 1416, 1434, 1436], "matplotlib": [0, 3, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 77, 81, 82, 83, 84, 85, 87, 89, 90, 94, 97, 98, 108, 1136, 1139, 1140, 1141, 1142, 1143, 1331, 1332, 1402, 1403, 1410, 1414, 1415, 1416, 1419, 1421, 1422, 1436], "click": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94], "here": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 92, 94, 101, 103, 105, 133, 231, 232, 239, 244, 281, 292, 293, 317, 333, 343, 358, 451, 466, 508, 579, 590, 620, 621, 681, 693, 702, 750, 753, 1045, 1049, 1105, 1171, 1183, 1198, 1199, 1203, 1214, 1302, 1306, 1313, 1315, 1318, 1332, 1407, 1408, 1413, 1416, 1436], "download": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 112, 316, 1332, 1436], "full": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 100, 101, 103, 106, 112, 116, 168, 281, 297, 302, 303, 304, 309, 310, 324, 437, 438, 514, 603, 741, 866, 911, 947, 993, 1041, 1136, 1161, 1170, 1409, 1410, 1415, 1420, 1421, 1423], "exampl": [1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 54, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 87, 89, 90, 95, 96, 97, 100, 102, 103, 104, 105, 106, 108, 110, 116, 126, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 168, 169, 171, 172, 173, 176, 177, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 199, 200, 203, 205, 208, 214, 215, 216, 217, 221, 228, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 261, 262, 263, 264, 266, 267, 268, 269, 273, 282, 285, 286, 287, 288, 289, 290, 291, 294, 295, 296, 298, 299, 300, 301, 304, 305, 312, 313, 314, 315, 322, 324, 325, 326, 327, 329, 330, 333, 334, 335, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 376, 378, 382, 385, 386, 387, 389, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 441, 442, 445, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 487, 488, 489, 490, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 524, 525, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 614, 615, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 676, 677, 678, 679, 680, 681, 682, 692, 693, 695, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 723, 730, 731, 732, 733, 736, 737, 738, 739, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 772, 777, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 883, 884, 885, 886, 888, 889, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 957, 958, 959, 960, 961, 962, 965, 966, 967, 968, 970, 971, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 999, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1038, 1039, 1040, 1041, 1042, 1043, 1046, 1055, 1056, 1057, 1059, 1064, 1066, 1067, 1068, 1069, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1125, 1127, 1128, 1129, 1130, 1131, 1132, 1134, 1136, 1139, 1140, 1141, 1142, 1143, 1150, 1152, 1154, 1156, 1157, 1160, 1163, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1187, 1188, 1190, 1192, 1195, 1199, 1200, 1202, 1203, 1204, 1205, 1212, 1213, 1216, 1218, 1223, 1228, 1241, 1243, 1244, 1246, 1248, 1273, 1275, 1276, 1277, 1278, 1279, 1281, 1282, 1284, 1285, 1286, 1291, 1293, 1294, 1297, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1316, 1325, 1326, 1327, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1381, 1382, 1383, 1384, 1385, 1386, 1388, 1389, 1390, 1391, 1392, 1393, 1396, 1401, 1405, 1408, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "code": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 94, 95, 96, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 116, 200, 333, 353, 459, 478, 662, 669, 678, 681, 731, 733, 736, 738, 889, 927, 971, 1010, 1041, 1048, 1049, 1050, 1120, 1127, 1128, 1129, 1171, 1224, 1302, 1331, 1332, 1334, 1351, 1354, 1355, 1356, 1390, 1408, 1411, 1412, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1430, 1434, 1436], "import": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 95, 98, 100, 104, 107, 113, 116, 126, 208, 214, 215, 216, 217, 221, 228, 230, 231, 232, 252, 253, 254, 255, 256, 257, 261, 262, 263, 264, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 285, 286, 287, 288, 289, 290, 291, 316, 325, 326, 332, 343, 348, 353, 376, 378, 382, 385, 386, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 425, 426, 427, 428, 462, 496, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 579, 593, 594, 678, 680, 681, 682, 697, 698, 699, 700, 701, 702, 704, 713, 736, 738, 762, 764, 772, 777, 791, 894, 930, 976, 1013, 1044, 1045, 1101, 1102, 1103, 1104, 1105, 1106, 1116, 1129, 1136, 1139, 1141, 1171, 1199, 1202, 1203, 1204, 1218, 1301, 1302, 1304, 1316, 1326, 1327, 1332, 1334, 1358, 1360, 1365, 1366, 1369, 1370, 1371, 1372, 1384, 1386, 1390, 1395, 1401, 1404, 1405, 1408, 1411, 1412, 1413, 1414, 1416, 1417, 1420, 1421, 1422, 1423, 1428, 1434, 1436], "networkx": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 107, 108, 109, 110, 111, 112, 113, 116, 126, 142, 145, 152, 157, 166, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 274, 275, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 336, 337, 338, 339, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 376, 377, 378, 381, 382, 383, 385, 386, 387, 388, 389, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 480, 481, 482, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 522, 523, 524, 525, 526, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 677, 678, 679, 680, 681, 682, 684, 686, 688, 689, 690, 691, 692, 693, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 723, 730, 731, 732, 733, 734, 736, 737, 738, 739, 741, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 762, 764, 772, 791, 793, 798, 852, 855, 857, 864, 897, 900, 902, 909, 933, 936, 938, 945, 979, 982, 984, 991, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1055, 1056, 1057, 1058, 1059, 1060, 1062, 1064, 1066, 1067, 1068, 1069, 1071, 1072, 1073, 1074, 1075, 1079, 1080, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1150, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1188, 1189, 1190, 1192, 1195, 1196, 1197, 1198, 1200, 1205, 1206, 1207, 1208, 1212, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1225, 1226, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1277, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1316, 1326, 1327, 1331, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1387, 1393, 1395, 1396, 1401, 1412, 1413, 1414, 1435, 1436], "nx": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 98, 102, 103, 104, 116, 126, 133, 144, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 168, 169, 171, 172, 173, 176, 177, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 199, 200, 203, 205, 208, 214, 215, 216, 217, 221, 228, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 261, 262, 263, 264, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 282, 285, 286, 287, 288, 289, 290, 291, 294, 295, 296, 300, 301, 305, 312, 313, 314, 315, 322, 325, 326, 327, 329, 330, 333, 334, 335, 339, 340, 341, 342, 343, 344, 345, 346, 348, 350, 351, 352, 353, 356, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 376, 378, 382, 385, 386, 387, 389, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 441, 442, 445, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 487, 488, 489, 490, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 524, 525, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 586, 587, 589, 590, 591, 592, 593, 594, 595, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 676, 677, 678, 679, 680, 681, 682, 690, 692, 693, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 763, 764, 772, 777, 791, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 883, 884, 885, 886, 888, 889, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 957, 958, 959, 960, 961, 962, 965, 966, 967, 968, 970, 971, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 999, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1059, 1064, 1066, 1067, 1068, 1069, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1125, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1190, 1192, 1196, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1212, 1213, 1216, 1217, 1219, 1221, 1222, 1223, 1228, 1230, 1234, 1238, 1241, 1246, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1273, 1275, 1277, 1278, 1279, 1281, 1282, 1284, 1285, 1286, 1287, 1291, 1293, 1294, 1297, 1301, 1303, 1305, 1307, 1309, 1325, 1326, 1327, 1329, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1395, 1402, 1403, 1405, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1434], "numpi": [1, 2, 7, 13, 15, 25, 28, 32, 35, 55, 58, 59, 94, 95, 96, 97, 99, 108, 110, 112, 239, 244, 283, 291, 567, 617, 631, 635, 678, 683, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1100, 1101, 1103, 1105, 1106, 1108, 1114, 1115, 1116, 1120, 1275, 1282, 1283, 1284, 1285, 1287, 1289, 1290, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1305, 1307, 1310, 1311, 1312, 1331, 1334, 1395, 1406, 1407, 1410, 1411, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1429, 1434], "np": [1, 2, 7, 13, 15, 25, 28, 35, 55, 58, 59, 94, 96, 104, 113, 115, 122, 213, 297, 302, 303, 304, 309, 310, 324, 424, 678, 764, 782, 1044, 1101, 1103, 1105, 1106, 1116, 1307, 1310, 1326, 1327, 1414, 1418, 1420, 1421, 1423, 1426], "from": [1, 2, 5, 6, 7, 8, 9, 11, 13, 14, 21, 26, 27, 31, 35, 39, 40, 41, 42, 46, 51, 53, 54, 57, 60, 63, 64, 65, 66, 67, 68, 69, 70, 72, 75, 76, 77, 78, 83, 85, 87, 89, 90, 92, 93, 95, 96, 97, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 116, 126, 133, 142, 143, 152, 153, 154, 155, 158, 159, 163, 164, 169, 181, 182, 185, 186, 190, 192, 193, 194, 196, 202, 208, 209, 210, 211, 214, 216, 217, 218, 221, 230, 231, 232, 235, 239, 244, 250, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 266, 267, 268, 270, 271, 272, 273, 274, 275, 277, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 298, 299, 300, 301, 304, 307, 308, 315, 317, 319, 320, 321, 323, 324, 325, 326, 327, 329, 331, 333, 334, 335, 340, 343, 344, 347, 348, 349, 352, 359, 360, 372, 376, 378, 382, 385, 386, 389, 391, 392, 396, 398, 399, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 424, 425, 426, 427, 428, 433, 441, 445, 451, 452, 455, 456, 457, 459, 462, 463, 466, 467, 468, 469, 470, 471, 475, 479, 480, 481, 483, 484, 490, 496, 497, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 514, 515, 519, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 561, 579, 585, 586, 587, 588, 589, 590, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 610, 620, 621, 628, 629, 631, 633, 634, 635, 636, 637, 638, 641, 642, 643, 644, 645, 646, 652, 653, 654, 655, 656, 657, 658, 659, 660, 662, 663, 664, 666, 669, 670, 671, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 725, 726, 727, 728, 730, 731, 733, 734, 735, 736, 738, 741, 749, 754, 762, 763, 764, 769, 772, 777, 788, 791, 793, 798, 855, 856, 858, 859, 862, 863, 867, 873, 874, 875, 876, 880, 882, 883, 884, 886, 891, 894, 900, 901, 903, 904, 907, 908, 912, 916, 918, 919, 922, 923, 925, 930, 936, 937, 939, 940, 943, 944, 948, 954, 955, 957, 958, 962, 964, 965, 966, 968, 973, 976, 982, 983, 985, 986, 989, 990, 994, 998, 1001, 1002, 1005, 1006, 1008, 1013, 1040, 1041, 1042, 1043, 1045, 1048, 1049, 1053, 1055, 1056, 1067, 1068, 1069, 1088, 1089, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1115, 1118, 1119, 1121, 1124, 1125, 1127, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1139, 1141, 1143, 1149, 1151, 1156, 1158, 1160, 1163, 1170, 1171, 1174, 1178, 1179, 1180, 1181, 1183, 1186, 1191, 1192, 1194, 1195, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1212, 1215, 1217, 1218, 1222, 1223, 1229, 1232, 1233, 1235, 1237, 1241, 1242, 1243, 1244, 1245, 1249, 1257, 1259, 1270, 1275, 1278, 1279, 1284, 1285, 1287, 1293, 1300, 1301, 1308, 1309, 1316, 1317, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1329, 1331, 1332, 1333, 1334, 1339, 1343, 1344, 1348, 1349, 1354, 1355, 1356, 1357, 1358, 1362, 1363, 1365, 1366, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1377, 1380, 1381, 1383, 1384, 1387, 1388, 1390, 1395, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1430, 1433, 1434], "mayavi": [1, 1422], "mlab": 1, "some": [1, 20, 36, 56, 64, 66, 68, 89, 92, 93, 94, 96, 100, 102, 103, 106, 108, 112, 124, 133, 165, 185, 208, 212, 222, 256, 283, 286, 293, 298, 299, 306, 316, 332, 348, 349, 376, 382, 387, 425, 429, 455, 469, 485, 498, 506, 507, 510, 511, 515, 516, 517, 518, 558, 559, 560, 567, 568, 590, 608, 621, 693, 702, 763, 782, 788, 798, 875, 894, 918, 930, 957, 976, 1001, 1013, 1040, 1041, 1042, 1043, 1045, 1088, 1089, 1105, 1106, 1108, 1120, 1122, 1123, 1126, 1131, 1132, 1161, 1171, 1181, 1183, 1186, 1207, 1223, 1228, 1231, 1247, 1278, 1329, 1332, 1334, 1365, 1369, 1390, 1402, 1403, 1404, 1405, 1407, 1408, 1411, 1412, 1413, 1415, 1416, 1418, 1419, 1420, 1422, 1425, 1429, 1436], "graph": [1, 2, 4, 5, 6, 7, 9, 10, 13, 14, 18, 19, 20, 23, 24, 25, 26, 27, 28, 30, 32, 33, 34, 35, 36, 37, 38, 39, 42, 43, 44, 46, 48, 50, 51, 53, 54, 57, 60, 63, 64, 65, 66, 67, 69, 70, 73, 75, 76, 77, 78, 81, 83, 84, 85, 88, 89, 91, 94, 97, 98, 99, 102, 104, 106, 108, 110, 111, 112, 113, 115, 116, 117, 120, 121, 122, 123, 128, 129, 130, 131, 133, 135, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 157, 158, 159, 160, 161, 162, 163, 164, 166, 167, 168, 169, 171, 172, 173, 174, 175, 177, 179, 180, 181, 182, 185, 186, 187, 188, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 530, 537, 540, 547, 551, 552, 553, 557, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 748, 749, 751, 752, 753, 754, 755, 759, 760, 762, 763, 765, 768, 769, 771, 773, 774, 778, 779, 782, 784, 786, 788, 789, 791, 792, 793, 794, 796, 797, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 872, 873, 874, 875, 876, 877, 878, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 953, 954, 955, 956, 957, 958, 959, 960, 962, 963, 964, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1038, 1039, 1046, 1055, 1056, 1057, 1058, 1059, 1060, 1062, 1063, 1064, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1304, 1306, 1315, 1326, 1327, 1330, 1331, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1401, 1402, 1404, 1406, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1432, 1433, 1434], "try": [1, 35, 72, 85, 89, 93, 94, 100, 102, 105, 106, 107, 782, 933, 979, 1042, 1043, 1046, 1048, 1066, 1085, 1097, 1100, 1109, 1110, 1112, 1117, 1171, 1287, 1300, 1302, 1306, 1413, 1420, 1422], "h": [1, 6, 7, 16, 17, 21, 26, 33, 35, 45, 51, 62, 68, 72, 92, 158, 166, 168, 200, 203, 205, 209, 315, 329, 343, 344, 363, 393, 413, 414, 418, 419, 420, 421, 433, 439, 455, 492, 513, 521, 523, 566, 587, 589, 590, 592, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 672, 677, 688, 707, 708, 709, 710, 711, 741, 769, 798, 858, 864, 866, 889, 892, 893, 903, 909, 911, 927, 928, 929, 939, 945, 947, 971, 974, 975, 985, 991, 993, 1010, 1011, 1012, 1040, 1042, 1043, 1045, 1064, 1069, 1085, 1088, 1123, 1132, 1151, 1170, 1179, 1183, 1199, 1222, 1223, 1231, 1245, 1247, 1257, 1275, 1286, 1301, 1308, 1309, 1329, 1349, 1355, 1362, 1366, 1369, 1370, 1372, 1388, 1395, 1402, 1403, 1413, 1418, 1420, 1421, 1425, 1429, 1434, 1436], "krackhardt_kite_graph": [1, 12], "add_edg": [1, 8, 11, 22, 26, 27, 35, 42, 45, 46, 47, 68, 69, 70, 72, 75, 85, 90, 103, 153, 159, 169, 177, 186, 190, 199, 203, 205, 215, 238, 247, 248, 269, 285, 315, 329, 389, 391, 392, 396, 400, 431, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 524, 525, 557, 679, 692, 693, 736, 737, 738, 739, 742, 743, 744, 745, 748, 750, 798, 856, 859, 867, 872, 876, 880, 888, 892, 893, 901, 904, 912, 917, 919, 926, 928, 929, 937, 940, 946, 948, 949, 950, 952, 961, 962, 965, 966, 970, 974, 975, 983, 986, 994, 995, 996, 999, 1005, 1006, 1009, 1011, 1012, 1038, 1040, 1042, 1043, 1066, 1073, 1075, 1078, 1083, 1086, 1087, 1097, 1105, 1106, 1108, 1284, 1285, 1301, 1332, 1345, 1346, 1388, 1415, 1416, 1436], "b": [1, 10, 11, 12, 15, 16, 17, 28, 31, 36, 47, 58, 62, 68, 69, 83, 90, 94, 98, 111, 116, 171, 199, 230, 231, 232, 253, 254, 270, 272, 273, 274, 275, 276, 277, 283, 285, 286, 287, 288, 289, 303, 306, 310, 328, 354, 379, 431, 445, 454, 455, 456, 459, 462, 478, 479, 480, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 547, 575, 577, 590, 593, 594, 620, 621, 628, 686, 692, 693, 695, 724, 725, 726, 727, 728, 734, 742, 743, 744, 745, 763, 772, 793, 868, 888, 913, 917, 926, 970, 999, 1009, 1097, 1103, 1107, 1160, 1179, 1192, 1198, 1199, 1205, 1211, 1213, 1214, 1216, 1222, 1223, 1240, 1241, 1271, 1280, 1293, 1294, 1301, 1302, 1316, 1332, 1335, 1344, 1350, 1351, 1353, 1357, 1358, 1359, 1360, 1369, 1370, 1383, 1384, 1385, 1386, 1387, 1396, 1402, 1415], "c": [1, 5, 6, 10, 12, 16, 17, 26, 35, 36, 47, 59, 62, 68, 69, 70, 71, 72, 81, 83, 89, 92, 94, 103, 111, 112, 113, 116, 129, 133, 169, 190, 199, 212, 214, 218, 230, 231, 232, 236, 252, 261, 262, 263, 298, 300, 301, 306, 312, 316, 321, 323, 325, 326, 327, 332, 341, 346, 348, 349, 350, 352, 354, 356, 357, 360, 373, 374, 376, 378, 382, 385, 386, 387, 388, 390, 392, 393, 394, 401, 407, 408, 409, 431, 434, 435, 444, 449, 450, 453, 454, 455, 456, 473, 479, 480, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 521, 547, 557, 566, 568, 569, 572, 573, 575, 590, 596, 600, 608, 620, 621, 635, 672, 677, 678, 679, 680, 684, 686, 687, 689, 692, 693, 694, 695, 734, 750, 754, 762, 763, 764, 867, 880, 888, 912, 926, 948, 962, 970, 994, 1009, 1103, 1105, 1107, 1149, 1150, 1160, 1181, 1192, 1207, 1208, 1209, 1213, 1214, 1222, 1223, 1228, 1241, 1275, 1278, 1280, 1284, 1286, 1301, 1302, 1308, 1316, 1332, 1335, 1344, 1357, 1387, 1394, 1396, 1415, 1417, 1420], "d": [1, 6, 7, 8, 12, 16, 17, 20, 26, 28, 35, 36, 40, 44, 46, 47, 50, 57, 62, 63, 65, 66, 68, 70, 71, 83, 84, 89, 98, 102, 106, 108, 111, 113, 116, 129, 153, 169, 177, 190, 200, 203, 205, 208, 211, 218, 221, 230, 231, 232, 238, 240, 241, 242, 243, 245, 246, 254, 258, 259, 260, 268, 287, 289, 300, 321, 323, 354, 359, 363, 364, 375, 382, 383, 424, 429, 431, 433, 434, 435, 453, 454, 455, 456, 462, 464, 474, 479, 480, 481, 483, 484, 485, 486, 496, 498, 500, 501, 502, 504, 505, 506, 507, 508, 509, 510, 511, 512, 515, 516, 519, 520, 547, 569, 571, 572, 573, 590, 594, 601, 605, 620, 621, 628, 635, 655, 656, 657, 662, 663, 664, 669, 670, 671, 677, 680, 683, 686, 692, 693, 695, 706, 708, 709, 710, 713, 736, 738, 750, 760, 763, 800, 801, 802, 803, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 826, 827, 828, 829, 831, 832, 833, 834, 836, 837, 838, 839, 841, 842, 843, 844, 846, 847, 848, 849, 856, 867, 872, 880, 889, 892, 893, 894, 901, 912, 927, 928, 929, 930, 937, 948, 953, 962, 971, 974, 975, 976, 983, 994, 1010, 1011, 1012, 1013, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1044, 1045, 1063, 1094, 1095, 1097, 1100, 1103, 1170, 1172, 1173, 1181, 1183, 1184, 1186, 1187, 1188, 1190, 1195, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1222, 1239, 1245, 1246, 1274, 1286, 1291, 1292, 1306, 1308, 1309, 1312, 1313, 1316, 1329, 1331, 1332, 1335, 1343, 1344, 1370, 1396, 1402, 1413, 1421, 1434, 1436], "grid_2d_graph": [1, 15, 21, 33, 44, 77, 430, 1303, 1329, 1415, 1421], "4": [1, 6, 8, 9, 10, 12, 13, 14, 15, 20, 21, 22, 27, 28, 29, 30, 32, 33, 34, 36, 37, 39, 40, 44, 45, 46, 55, 56, 58, 63, 64, 65, 66, 67, 68, 69, 71, 75, 78, 89, 90, 94, 97, 99, 102, 103, 106, 111, 116, 121, 126, 133, 153, 157, 158, 159, 161, 163, 164, 166, 168, 171, 172, 186, 194, 196, 199, 200, 208, 211, 216, 217, 230, 231, 232, 233, 240, 241, 242, 245, 251, 252, 253, 254, 255, 256, 257, 262, 263, 264, 266, 267, 268, 269, 279, 282, 285, 286, 287, 288, 289, 290, 291, 298, 301, 312, 313, 314, 316, 321, 325, 326, 327, 328, 332, 334, 335, 339, 340, 341, 342, 344, 345, 348, 358, 359, 360, 362, 363, 364, 373, 374, 376, 378, 382, 385, 386, 387, 389, 391, 393, 394, 396, 397, 398, 399, 401, 402, 404, 405, 406, 407, 408, 409, 424, 425, 426, 427, 428, 430, 431, 445, 451, 453, 454, 455, 457, 463, 464, 466, 472, 473, 474, 475, 476, 477, 478, 483, 484, 496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 519, 520, 557, 566, 568, 576, 578, 579, 580, 581, 582, 583, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 602, 603, 608, 610, 614, 615, 617, 620, 621, 624, 625, 626, 627, 628, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 674, 679, 680, 681, 682, 683, 685, 686, 688, 692, 695, 696, 707, 708, 709, 710, 711, 712, 714, 715, 716, 717, 718, 723, 730, 731, 732, 733, 736, 737, 738, 739, 741, 742, 743, 744, 745, 746, 747, 749, 751, 752, 754, 762, 763, 764, 772, 777, 798, 850, 851, 852, 853, 854, 856, 857, 858, 859, 861, 862, 863, 864, 866, 868, 869, 876, 884, 886, 888, 889, 894, 895, 896, 897, 898, 899, 901, 902, 903, 904, 906, 907, 908, 909, 910, 911, 913, 914, 917, 919, 922, 923, 925, 926, 927, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 947, 953, 966, 968, 970, 971, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 993, 999, 1006, 1008, 1009, 1010, 1013, 1039, 1040, 1042, 1043, 1045, 1049, 1059, 1064, 1066, 1069, 1073, 1075, 1085, 1091, 1103, 1105, 1106, 1108, 1109, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1131, 1132, 1141, 1154, 1156, 1157, 1166, 1175, 1178, 1180, 1187, 1196, 1198, 1200, 1205, 1212, 1216, 1218, 1223, 1232, 1239, 1250, 1253, 1254, 1261, 1267, 1269, 1277, 1278, 1279, 1291, 1293, 1297, 1301, 1302, 1326, 1327, 1329, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1345, 1347, 1350, 1355, 1356, 1361, 1362, 1364, 1375, 1377, 1378, 1381, 1382, 1387, 1388, 1395, 1402, 1403, 1407, 1409, 1412, 1413, 1414, 1416, 1417, 1421, 1423, 1425, 1428], "5": [1, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 20, 21, 22, 25, 26, 28, 29, 34, 35, 36, 37, 39, 40, 45, 47, 56, 57, 58, 59, 63, 64, 65, 66, 67, 69, 72, 76, 77, 78, 81, 82, 84, 85, 90, 96, 102, 103, 106, 111, 116, 126, 133, 152, 153, 159, 166, 168, 169, 190, 208, 211, 216, 224, 233, 240, 241, 242, 244, 245, 251, 262, 263, 279, 285, 287, 289, 295, 297, 301, 312, 313, 314, 325, 326, 327, 329, 333, 334, 335, 340, 341, 342, 344, 345, 348, 357, 358, 359, 360, 361, 362, 373, 374, 376, 378, 382, 385, 387, 388, 391, 392, 393, 402, 404, 405, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 424, 425, 426, 427, 428, 430, 431, 445, 451, 453, 457, 458, 463, 464, 466, 472, 473, 474, 475, 476, 477, 478, 480, 482, 483, 484, 487, 490, 492, 494, 496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 547, 557, 558, 559, 560, 566, 569, 571, 572, 573, 575, 576, 580, 581, 582, 583, 584, 586, 588, 590, 591, 592, 595, 601, 602, 604, 610, 614, 615, 619, 620, 621, 627, 628, 632, 635, 637, 638, 639, 640, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 677, 679, 680, 682, 683, 684, 692, 697, 705, 707, 708, 709, 710, 711, 712, 714, 716, 717, 718, 730, 731, 732, 733, 744, 745, 749, 752, 754, 762, 763, 798, 855, 856, 859, 864, 866, 867, 880, 894, 900, 901, 904, 909, 911, 912, 930, 936, 937, 940, 945, 947, 948, 949, 962, 976, 982, 983, 986, 991, 993, 994, 995, 1013, 1039, 1040, 1042, 1043, 1045, 1059, 1064, 1066, 1073, 1085, 1091, 1097, 1103, 1105, 1109, 1116, 1117, 1121, 1125, 1130, 1134, 1137, 1138, 1140, 1141, 1144, 1145, 1146, 1147, 1148, 1154, 1157, 1171, 1175, 1176, 1177, 1179, 1180, 1188, 1190, 1197, 1198, 1199, 1202, 1204, 1205, 1221, 1222, 1223, 1228, 1248, 1249, 1251, 1252, 1253, 1254, 1256, 1257, 1258, 1261, 1262, 1264, 1266, 1267, 1273, 1279, 1281, 1282, 1291, 1293, 1297, 1302, 1329, 1332, 1337, 1338, 1341, 1375, 1376, 1387, 1388, 1395, 1401, 1402, 1403, 1405, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1422, 1423, 1424, 1425, 1434], "cycle_graph": [1, 2, 38, 215, 233, 251, 290, 295, 296, 363, 364, 401, 407, 408, 482, 586, 587, 589, 608, 610, 620, 621, 654, 660, 665, 673, 674, 676, 678, 681, 682, 736, 737, 738, 739, 753, 1388], "20": [1, 2, 5, 6, 22, 25, 28, 30, 33, 35, 45, 47, 60, 64, 65, 66, 67, 71, 78, 82, 89, 103, 110, 208, 242, 245, 273, 314, 332, 348, 385, 386, 444, 449, 450, 503, 557, 600, 690, 894, 930, 976, 1013, 1088, 1089, 1102, 1103, 1106, 1171, 1199, 1202, 1246, 1252, 1254, 1329, 1408, 1415, 1416, 1422, 1436], "reorder": [1, 1420], "node": [1, 2, 6, 7, 8, 9, 10, 11, 12, 14, 16, 17, 20, 22, 24, 26, 28, 29, 31, 32, 33, 34, 35, 36, 37, 39, 40, 42, 44, 45, 46, 47, 48, 50, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 70, 72, 75, 78, 81, 83, 84, 85, 87, 89, 90, 98, 102, 103, 108, 113, 116, 117, 121, 124, 129, 133, 139, 142, 145, 148, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 181, 182, 183, 184, 186, 187, 188, 189, 190, 191, 192, 193, 195, 196, 197, 198, 200, 201, 202, 203, 205, 207, 208, 211, 214, 215, 216, 217, 218, 220, 221, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 252, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 396, 398, 400, 401, 402, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 426, 427, 428, 429, 430, 431, 433, 434, 435, 436, 437, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 462, 463, 466, 467, 468, 471, 472, 473, 475, 476, 478, 481, 483, 484, 485, 486, 487, 488, 489, 490, 491, 493, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 518, 520, 521, 524, 525, 526, 527, 528, 537, 538, 547, 550, 551, 552, 555, 556, 557, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 616, 617, 623, 627, 628, 629, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 685, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 699, 700, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 730, 731, 732, 733, 734, 736, 737, 738, 739, 741, 747, 750, 751, 752, 753, 754, 755, 760, 761, 762, 763, 764, 781, 782, 788, 791, 792, 793, 850, 851, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 876, 877, 878, 879, 880, 881, 882, 883, 885, 886, 887, 889, 890, 891, 892, 893, 894, 895, 896, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 919, 920, 921, 922, 924, 925, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 958, 959, 960, 961, 962, 963, 964, 965, 967, 968, 969, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1002, 1003, 1004, 1005, 1007, 1008, 1010, 1011, 1012, 1013, 1022, 1023, 1025, 1030, 1036, 1039, 1041, 1044, 1045, 1046, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1063, 1064, 1065, 1066, 1068, 1069, 1071, 1074, 1076, 1078, 1080, 1082, 1083, 1084, 1085, 1087, 1088, 1089, 1090, 1091, 1094, 1097, 1098, 1099, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1173, 1174, 1176, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1223, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1273, 1275, 1276, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1297, 1300, 1301, 1302, 1303, 1313, 1315, 1318, 1326, 1327, 1329, 1330, 1331, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1359, 1360, 1362, 1363, 1365, 1367, 1368, 1369, 1370, 1371, 1375, 1376, 1377, 1378, 1382, 1385, 1386, 1387, 1388, 1393, 1396, 1401, 1402, 1404, 1406, 1407, 1408, 1410, 1411, 1413, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1428, 1430, 1431, 1432, 1433, 1434], "0": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 89, 90, 91, 94, 97, 99, 101, 102, 103, 104, 106, 116, 126, 145, 152, 153, 157, 158, 159, 161, 162, 164, 167, 168, 169, 171, 172, 173, 176, 185, 186, 189, 190, 193, 195, 196, 199, 200, 203, 205, 208, 214, 215, 216, 221, 224, 228, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 248, 249, 251, 252, 253, 254, 257, 261, 262, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 284, 285, 286, 287, 289, 290, 291, 294, 295, 296, 297, 298, 299, 300, 301, 305, 306, 312, 313, 314, 315, 317, 322, 325, 326, 327, 329, 330, 331, 333, 334, 335, 338, 339, 340, 341, 346, 348, 350, 351, 352, 353, 356, 357, 358, 359, 360, 361, 362, 364, 373, 374, 376, 378, 382, 383, 385, 386, 387, 389, 392, 393, 396, 399, 400, 402, 404, 405, 406, 413, 414, 418, 419, 420, 421, 422, 423, 425, 426, 441, 442, 445, 446, 451, 452, 453, 454, 455, 458, 460, 461, 464, 469, 478, 479, 480, 481, 487, 488, 489, 490, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 519, 525, 554, 555, 556, 558, 559, 560, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 586, 587, 588, 589, 590, 591, 593, 594, 595, 597, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 617, 618, 619, 620, 621, 627, 628, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 684, 690, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 723, 730, 731, 732, 733, 736, 737, 738, 739, 741, 742, 743, 748, 750, 751, 752, 753, 754, 762, 763, 764, 772, 791, 851, 853, 855, 856, 857, 858, 859, 861, 863, 865, 866, 867, 868, 869, 870, 871, 875, 876, 879, 880, 883, 885, 886, 888, 889, 892, 893, 894, 896, 898, 900, 901, 902, 903, 904, 906, 908, 910, 911, 912, 913, 914, 915, 917, 918, 919, 922, 924, 925, 926, 927, 928, 929, 930, 932, 934, 936, 937, 938, 939, 940, 941, 942, 944, 946, 947, 948, 949, 950, 951, 952, 956, 957, 958, 961, 962, 963, 965, 966, 967, 968, 970, 971, 972, 974, 975, 976, 978, 980, 982, 983, 984, 985, 986, 987, 988, 990, 992, 993, 994, 995, 996, 997, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1039, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1059, 1063, 1064, 1069, 1073, 1085, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1114, 1116, 1117, 1119, 1120, 1137, 1138, 1139, 1140, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1152, 1153, 1154, 1155, 1157, 1160, 1162, 1163, 1165, 1166, 1167, 1169, 1171, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1183, 1184, 1187, 1190, 1192, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1213, 1214, 1220, 1221, 1223, 1225, 1228, 1233, 1235, 1240, 1241, 1245, 1246, 1248, 1266, 1275, 1278, 1279, 1281, 1282, 1284, 1285, 1286, 1289, 1290, 1291, 1294, 1297, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1322, 1329, 1332, 1337, 1341, 1342, 1343, 1350, 1351, 1355, 1357, 1358, 1359, 1360, 1367, 1368, 1369, 1375, 1383, 1384, 1385, 1386, 1388, 1395, 1404, 1405, 1407, 1411, 1412, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1436], "len": [1, 5, 6, 7, 8, 11, 14, 20, 26, 28, 29, 45, 51, 68, 72, 83, 84, 85, 89, 103, 270, 272, 274, 275, 277, 286, 290, 348, 350, 376, 389, 391, 392, 394, 401, 407, 408, 409, 416, 417, 418, 419, 420, 421, 430, 462, 502, 568, 593, 594, 602, 674, 678, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 763, 798, 854, 899, 935, 981, 1040, 1042, 1043, 1062, 1117, 1156, 1174, 1176, 1179, 1181, 1182, 1186, 1218, 1222, 1308, 1413, 1417], "g": [1, 2, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 50, 51, 53, 56, 57, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 84, 85, 89, 90, 93, 94, 95, 96, 98, 100, 102, 103, 104, 105, 108, 111, 112, 113, 115, 116, 126, 128, 133, 142, 152, 153, 157, 158, 159, 160, 161, 163, 164, 166, 167, 168, 169, 171, 172, 173, 176, 177, 180, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 199, 200, 201, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 273, 278, 279, 280, 281, 282, 283, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 520, 521, 522, 523, 524, 525, 526, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 764, 769, 772, 777, 791, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 881, 883, 884, 885, 886, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 957, 958, 959, 960, 961, 962, 963, 965, 966, 967, 968, 970, 971, 972, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 999, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1022, 1023, 1024, 1025, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1048, 1055, 1056, 1057, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1150, 1151, 1152, 1153, 1154, 1156, 1157, 1160, 1161, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1187, 1188, 1190, 1192, 1193, 1195, 1196, 1197, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1208, 1209, 1211, 1212, 1213, 1216, 1218, 1219, 1222, 1223, 1225, 1226, 1228, 1229, 1233, 1235, 1241, 1246, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1273, 1275, 1276, 1277, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1304, 1306, 1309, 1326, 1327, 1329, 1330, 1332, 1334, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1349, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1395, 1403, 1404, 1405, 1408, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1432, 1434], "1": [1, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 31, 32, 33, 34, 35, 36, 39, 40, 42, 44, 45, 47, 51, 56, 58, 59, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 78, 81, 83, 84, 85, 89, 90, 92, 94, 96, 97, 98, 99, 100, 102, 103, 104, 110, 111, 113, 116, 122, 126, 133, 152, 153, 157, 158, 159, 160, 161, 164, 167, 168, 169, 171, 172, 176, 177, 185, 186, 189, 190, 193, 194, 195, 196, 199, 200, 201, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 283, 284, 285, 286, 287, 288, 289, 290, 291, 294, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 393, 396, 398, 399, 400, 402, 404, 405, 406, 407, 408, 411, 412, 413, 414, 415, 416, 417, 419, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 483, 484, 485, 486, 487, 488, 489, 490, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 520, 521, 522, 523, 524, 525, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 600, 601, 602, 603, 604, 605, 606, 608, 610, 614, 615, 616, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 763, 764, 769, 772, 777, 784, 791, 793, 798, 850, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 863, 865, 866, 867, 868, 869, 871, 872, 875, 876, 879, 880, 883, 884, 885, 886, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 900, 901, 902, 903, 904, 905, 906, 908, 910, 911, 912, 913, 914, 917, 918, 919, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 936, 937, 938, 939, 940, 941, 942, 944, 946, 947, 948, 949, 950, 952, 956, 957, 958, 961, 962, 965, 966, 967, 968, 970, 971, 972, 974, 975, 976, 977, 978, 979, 980, 982, 983, 984, 985, 986, 987, 988, 990, 992, 993, 994, 995, 996, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1046, 1055, 1056, 1057, 1059, 1063, 1064, 1067, 1068, 1069, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1127, 1137, 1138, 1139, 1140, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1151, 1152, 1153, 1154, 1155, 1157, 1160, 1161, 1162, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1241, 1242, 1245, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1282, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1316, 1325, 1326, 1327, 1329, 1332, 1336, 1337, 1338, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1365, 1366, 1367, 1368, 1369, 1371, 1372, 1373, 1374, 1375, 1376, 1383, 1384, 1385, 1386, 1387, 1388, 1390, 1395, 1396, 1401, 1402, 1412, 1414, 1416, 1420, 1421, 1422, 1423, 1425, 1432, 1433, 1434], "convert_node_labels_to_integ": [1, 7, 378, 462, 1123, 1132, 1301, 1415, 1436], "3d": [1, 2, 314, 1415, 1420, 1422], "spring": [1, 2, 1120, 1136, 1139, 1148, 1417], "layout": [1, 2, 9, 12, 20, 22, 24, 25, 26, 27, 30, 31, 39, 43, 44, 48, 51, 61, 63, 64, 66, 68, 73, 74, 81, 85, 89, 90, 98, 107, 112, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1122, 1123, 1126, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1144, 1145, 1146, 1147, 1148, 1331, 1332, 1402, 1403, 1404, 1405, 1410, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1426, 1431, 1434, 1436], "po": [1, 2, 5, 6, 7, 8, 9, 10, 12, 13, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 62, 63, 64, 66, 68, 69, 71, 72, 81, 82, 83, 84, 85, 89, 90, 94, 98, 352, 616, 1045, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1199, 1200, 1202, 1203, 1204, 1205, 1219, 1221, 1332, 1334, 1407, 1414, 1430, 1434, 1436], "spring_layout": [1, 2, 5, 6, 7, 9, 12, 13, 16, 17, 20, 21, 27, 28, 29, 30, 31, 33, 36, 41, 43, 46, 47, 63, 64, 66, 89, 90, 94, 1136, 1139, 1140, 1141, 1142, 1143, 1148, 1332, 1414, 1416, 1417, 1420, 1422], "dim": [1, 2, 44, 628, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1199, 1201, 1202, 1203, 1204, 1218, 1305, 1307, 1415, 1416, 1421], "3": [1, 2, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 28, 29, 33, 34, 36, 37, 39, 41, 42, 44, 45, 46, 47, 50, 53, 58, 63, 64, 65, 66, 67, 68, 69, 71, 72, 75, 78, 81, 82, 83, 84, 90, 97, 98, 99, 102, 104, 106, 111, 112, 113, 116, 126, 133, 152, 153, 157, 158, 159, 160, 161, 164, 166, 167, 168, 169, 172, 173, 176, 177, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 199, 201, 203, 205, 208, 215, 221, 227, 228, 229, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 249, 251, 252, 253, 254, 256, 257, 258, 261, 264, 266, 267, 268, 269, 282, 286, 288, 289, 296, 297, 298, 300, 301, 302, 303, 304, 305, 309, 310, 312, 313, 314, 315, 316, 317, 318, 321, 322, 324, 325, 326, 327, 329, 330, 332, 333, 334, 335, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 356, 358, 359, 360, 361, 362, 363, 364, 373, 374, 376, 378, 380, 382, 385, 387, 388, 393, 394, 396, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 411, 412, 415, 416, 417, 424, 425, 426, 427, 428, 429, 431, 433, 437, 438, 441, 442, 443, 445, 447, 448, 451, 453, 455, 457, 459, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 483, 484, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 519, 524, 525, 557, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 600, 601, 602, 603, 604, 605, 606, 608, 610, 614, 615, 617, 620, 621, 624, 625, 626, 627, 628, 630, 631, 632, 635, 637, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 679, 680, 681, 682, 686, 692, 693, 694, 695, 697, 698, 699, 700, 701, 704, 705, 706, 707, 708, 709, 710, 711, 712, 714, 715, 716, 717, 718, 719, 720, 723, 730, 731, 732, 733, 736, 737, 738, 739, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 762, 763, 764, 772, 777, 798, 852, 853, 855, 856, 857, 858, 859, 860, 861, 863, 864, 865, 866, 867, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 881, 883, 884, 885, 886, 888, 890, 892, 893, 894, 897, 898, 900, 901, 902, 903, 904, 905, 906, 908, 909, 911, 912, 914, 915, 918, 919, 920, 921, 922, 923, 924, 925, 926, 928, 929, 930, 933, 934, 936, 937, 938, 939, 940, 941, 942, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 957, 958, 959, 960, 961, 962, 963, 965, 966, 967, 968, 970, 972, 974, 975, 976, 979, 980, 982, 983, 984, 985, 986, 987, 988, 990, 991, 992, 993, 994, 995, 996, 997, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1011, 1012, 1013, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1055, 1056, 1057, 1059, 1064, 1067, 1068, 1069, 1073, 1075, 1085, 1086, 1088, 1089, 1091, 1097, 1102, 1103, 1105, 1106, 1108, 1109, 1114, 1117, 1141, 1152, 1154, 1157, 1160, 1166, 1170, 1171, 1172, 1173, 1175, 1176, 1177, 1179, 1183, 1186, 1187, 1191, 1192, 1196, 1198, 1200, 1212, 1213, 1214, 1216, 1218, 1221, 1223, 1225, 1228, 1232, 1235, 1241, 1243, 1244, 1245, 1248, 1251, 1256, 1257, 1261, 1264, 1267, 1270, 1272, 1275, 1277, 1278, 1279, 1284, 1285, 1286, 1288, 1291, 1293, 1294, 1297, 1301, 1302, 1308, 1309, 1316, 1325, 1329, 1331, 1332, 1337, 1338, 1341, 1342, 1343, 1344, 1353, 1355, 1369, 1370, 1375, 1376, 1388, 1395, 1401, 1402, 1403, 1404, 1405, 1411, 1412, 1413, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1429, 1430, 1431, 1432, 1433], "seed": [1, 2, 5, 6, 7, 9, 12, 13, 16, 20, 21, 27, 28, 29, 30, 31, 32, 33, 36, 40, 41, 43, 45, 46, 47, 51, 63, 64, 66, 84, 89, 90, 94, 103, 104, 209, 214, 218, 223, 224, 228, 231, 232, 272, 273, 275, 276, 297, 298, 307, 339, 370, 375, 379, 380, 382, 383, 591, 627, 683, 684, 685, 686, 688, 694, 695, 696, 703, 722, 724, 740, 749, 1103, 1109, 1114, 1120, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1213, 1216, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1305, 1307, 1310, 1311, 1321, 1322, 1323, 1324, 1325, 1334, 1414, 1417, 1418, 1420, 1422, 1434], "1001": 1, "arrai": [1, 2, 7, 25, 35, 53, 55, 58, 104, 108, 110, 239, 244, 283, 284, 479, 480, 567, 617, 621, 631, 678, 683, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1044, 1100, 1101, 1104, 1105, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1139, 1141, 1143, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1312, 1329, 1330, 1395, 1410, 1411, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1433, 1434], "x": [1, 2, 7, 8, 14, 15, 22, 27, 35, 40, 55, 58, 59, 68, 69, 75, 100, 101, 102, 104, 107, 227, 228, 231, 232, 242, 243, 244, 245, 246, 247, 248, 254, 256, 257, 261, 281, 283, 312, 313, 327, 333, 339, 431, 440, 456, 466, 479, 480, 481, 496, 500, 501, 502, 504, 505, 508, 509, 510, 511, 512, 588, 590, 593, 607, 609, 612, 613, 616, 620, 621, 628, 632, 678, 694, 696, 772, 777, 966, 1006, 1088, 1089, 1122, 1123, 1127, 1128, 1129, 1131, 1154, 1188, 1196, 1198, 1199, 1205, 1223, 1241, 1259, 1284, 1285, 1301, 1302, 1325, 1332, 1350, 1412, 1415, 1416, 1420, 1421, 1422, 1425, 1434, 1435, 1436], "y": [1, 2, 7, 8, 15, 35, 40, 55, 58, 59, 68, 69, 242, 243, 244, 245, 246, 247, 248, 253, 254, 257, 261, 327, 431, 456, 479, 480, 481, 496, 500, 501, 502, 504, 505, 508, 509, 510, 511, 512, 571, 575, 588, 607, 609, 612, 613, 616, 621, 628, 632, 672, 677, 682, 693, 694, 696, 777, 966, 1006, 1122, 1123, 1127, 1128, 1129, 1131, 1198, 1199, 1205, 1223, 1241, 1284, 1285, 1302, 1332, 1350], "z": [1, 2, 7, 8, 63, 68, 113, 133, 382, 453, 456, 510, 593, 772, 1185, 1198, 1199, 1205, 1223, 1241, 1257, 1301, 1302, 1423, 1426], "posit": [1, 2, 6, 7, 9, 11, 22, 24, 34, 35, 36, 40, 44, 47, 48, 55, 56, 58, 59, 81, 87, 104, 110, 156, 165, 231, 232, 312, 313, 339, 352, 382, 473, 474, 475, 476, 477, 498, 506, 507, 510, 585, 610, 616, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 682, 684, 736, 738, 741, 1045, 1048, 1050, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1161, 1181, 1183, 1184, 1186, 1187, 1191, 1199, 1200, 1202, 1203, 1204, 1205, 1219, 1221, 1228, 1276, 1279, 1288, 1308, 1332, 1350, 1407, 1413, 1415, 1421, 1436], "sort": [1, 2, 10, 20, 28, 31, 62, 68, 72, 84, 85, 92, 94, 106, 111, 126, 158, 170, 198, 267, 285, 288, 301, 312, 325, 326, 327, 333, 334, 335, 344, 376, 378, 385, 386, 392, 394, 401, 407, 408, 409, 424, 425, 426, 427, 428, 442, 453, 455, 457, 458, 460, 463, 466, 467, 468, 483, 484, 508, 510, 558, 559, 560, 583, 584, 590, 654, 658, 660, 679, 704, 708, 710, 732, 736, 737, 738, 739, 754, 858, 903, 939, 985, 1059, 1150, 1154, 1157, 1160, 1186, 1187, 1212, 1223, 1277, 1278, 1300, 1301, 1308, 1357, 1383, 1407, 1410, 1413, 1415, 1416, 1420, 1421, 1423, 1436], "order": [1, 5, 8, 14, 15, 45, 55, 58, 59, 62, 68, 72, 96, 100, 102, 104, 111, 124, 156, 170, 183, 187, 198, 205, 221, 230, 231, 232, 239, 244, 261, 262, 263, 283, 314, 325, 326, 327, 332, 333, 339, 341, 343, 347, 348, 349, 350, 351, 354, 364, 365, 366, 367, 369, 371, 375, 382, 398, 435, 436, 437, 438, 439, 452, 453, 457, 459, 460, 462, 466, 468, 470, 514, 547, 561, 562, 567, 568, 577, 590, 616, 617, 618, 621, 631, 659, 665, 678, 679, 680, 682, 705, 706, 708, 709, 710, 712, 714, 716, 719, 720, 721, 730, 734, 735, 746, 749, 750, 760, 762, 763, 782, 854, 877, 893, 899, 920, 935, 948, 950, 956, 959, 962, 965, 966, 981, 994, 996, 1000, 1003, 1005, 1006, 1055, 1056, 1062, 1088, 1089, 1105, 1106, 1108, 1115, 1141, 1143, 1149, 1150, 1153, 1158, 1165, 1170, 1179, 1180, 1183, 1226, 1227, 1250, 1275, 1277, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1300, 1301, 1302, 1308, 1309, 1313, 1318, 1326, 1327, 1329, 1331, 1332, 1359, 1360, 1369, 1385, 1386, 1387, 1404, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1420, 1421, 1422, 1428, 1429, 1433, 1434, 1436], "xyz": 1, "v": [1, 2, 5, 6, 7, 8, 12, 16, 20, 26, 27, 35, 37, 39, 46, 47, 64, 67, 68, 85, 89, 90, 102, 103, 113, 115, 116, 133, 142, 144, 152, 153, 159, 165, 169, 171, 172, 174, 175, 177, 178, 183, 184, 186, 190, 193, 194, 203, 205, 207, 208, 210, 212, 213, 220, 227, 230, 231, 232, 242, 245, 247, 248, 250, 258, 259, 260, 261, 262, 263, 265, 278, 279, 281, 283, 285, 286, 287, 288, 290, 292, 293, 296, 298, 299, 300, 301, 305, 306, 307, 308, 312, 314, 316, 317, 321, 322, 323, 327, 328, 329, 330, 331, 332, 343, 349, 352, 353, 354, 357, 359, 360, 363, 373, 374, 376, 382, 383, 411, 413, 414, 418, 420, 424, 425, 432, 433, 436, 442, 452, 455, 457, 462, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 485, 486, 487, 490, 491, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 508, 509, 510, 511, 512, 516, 519, 520, 522, 523, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 587, 589, 590, 592, 599, 603, 606, 607, 608, 609, 610, 612, 613, 617, 621, 623, 628, 629, 632, 635, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 674, 675, 676, 677, 678, 679, 680, 681, 687, 688, 689, 690, 691, 694, 696, 705, 706, 713, 719, 720, 721, 730, 734, 736, 738, 740, 754, 798, 855, 856, 859, 867, 868, 869, 872, 876, 880, 883, 884, 892, 893, 894, 900, 901, 904, 912, 913, 914, 919, 922, 923, 928, 930, 936, 937, 940, 948, 949, 950, 953, 956, 958, 962, 965, 966, 974, 975, 976, 982, 983, 986, 994, 995, 996, 1000, 1002, 1005, 1006, 1011, 1013, 1040, 1042, 1043, 1059, 1067, 1087, 1088, 1139, 1141, 1143, 1171, 1174, 1179, 1181, 1185, 1191, 1194, 1199, 1201, 1204, 1213, 1216, 1223, 1225, 1231, 1239, 1247, 1278, 1284, 1285, 1288, 1309, 1313, 1330, 1332, 1338, 1362, 1363, 1402, 1403, 1413, 1415, 1423, 1434, 1436], "scalar": [1, 223, 224, 249, 325, 326, 563, 564, 565, 1088, 1089, 1097, 1139, 1141, 1143, 1200], "color": [1, 2, 6, 16, 17, 24, 26, 29, 30, 33, 35, 37, 38, 40, 48, 56, 57, 58, 69, 72, 75, 78, 81, 85, 87, 115, 116, 145, 158, 160, 169, 177, 185, 190, 191, 201, 208, 225, 237, 238, 247, 253, 254, 255, 257, 269, 291, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 471, 548, 549, 550, 554, 555, 556, 600, 620, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 693, 760, 798, 858, 860, 867, 872, 875, 880, 881, 890, 894, 903, 905, 912, 918, 930, 939, 941, 948, 957, 962, 963, 972, 976, 985, 987, 994, 1001, 1013, 1040, 1042, 1043, 1067, 1068, 1089, 1103, 1139, 1140, 1141, 1142, 1143, 1284, 1285, 1329, 1331, 1332, 1336, 1345, 1350, 1362, 1363, 1403, 1404, 1415, 1416, 1417, 1419, 1421, 1422, 1423, 1425, 1434, 1436], "list": [1, 6, 7, 10, 11, 14, 15, 21, 35, 39, 40, 41, 45, 46, 56, 64, 72, 75, 83, 84, 89, 92, 93, 94, 95, 98, 100, 101, 102, 104, 105, 106, 107, 111, 116, 145, 153, 158, 159, 163, 164, 167, 168, 170, 176, 185, 189, 194, 195, 196, 198, 200, 203, 205, 207, 208, 210, 221, 227, 228, 229, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 272, 274, 275, 277, 282, 283, 285, 286, 287, 288, 289, 290, 291, 294, 299, 303, 308, 310, 316, 317, 318, 319, 320, 327, 332, 339, 340, 346, 347, 348, 349, 350, 351, 354, 355, 356, 357, 362, 369, 370, 377, 378, 382, 383, 384, 385, 386, 387, 389, 391, 392, 393, 394, 398, 401, 407, 408, 409, 420, 421, 424, 429, 430, 431, 451, 452, 453, 454, 455, 457, 459, 460, 461, 466, 468, 470, 471, 472, 473, 476, 479, 480, 483, 490, 493, 494, 502, 514, 515, 516, 517, 518, 519, 520, 525, 548, 549, 550, 554, 555, 556, 558, 559, 560, 561, 562, 567, 587, 588, 589, 590, 591, 593, 594, 596, 597, 598, 599, 607, 608, 609, 610, 612, 613, 617, 620, 628, 631, 633, 634, 637, 641, 642, 652, 655, 656, 658, 659, 662, 666, 669, 672, 674, 675, 679, 680, 681, 682, 699, 704, 706, 707, 708, 709, 710, 712, 713, 714, 716, 717, 718, 719, 720, 721, 731, 733, 736, 738, 741, 747, 751, 752, 763, 788, 798, 852, 853, 856, 858, 859, 862, 863, 865, 866, 871, 875, 879, 884, 885, 886, 889, 892, 893, 894, 897, 898, 901, 903, 904, 907, 908, 910, 911, 918, 923, 924, 925, 927, 928, 929, 930, 933, 934, 937, 939, 940, 943, 944, 946, 947, 948, 952, 957, 961, 962, 966, 967, 968, 971, 974, 975, 976, 979, 980, 983, 985, 986, 987, 989, 990, 992, 993, 994, 1001, 1006, 1007, 1008, 1010, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1048, 1062, 1064, 1069, 1074, 1076, 1078, 1084, 1085, 1087, 1088, 1089, 1090, 1095, 1096, 1097, 1098, 1099, 1100, 1103, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1127, 1129, 1139, 1141, 1143, 1146, 1149, 1150, 1154, 1156, 1157, 1176, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1199, 1200, 1205, 1209, 1212, 1213, 1214, 1218, 1226, 1228, 1246, 1248, 1278, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1301, 1302, 1303, 1308, 1309, 1317, 1326, 1327, 1329, 1330, 1331, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1351, 1354, 1355, 1356, 1358, 1359, 1360, 1366, 1375, 1376, 1377, 1378, 1384, 1385, 1386, 1387, 1388, 1390, 1392, 1402, 1403, 1404, 1408, 1409, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "figur": [1, 2, 6, 8, 17, 26, 27, 28, 35, 37, 39, 40, 69, 81, 82, 83, 85, 94, 106, 1045, 1127, 1129, 1136, 1266, 1410, 1415], "pt": [1, 385], "points3d": 1, "2": [1, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 22, 26, 27, 28, 29, 31, 32, 33, 34, 36, 37, 39, 40, 41, 42, 44, 45, 47, 51, 55, 56, 57, 58, 63, 64, 65, 66, 67, 68, 69, 70, 71, 75, 78, 81, 83, 84, 89, 90, 94, 97, 98, 99, 100, 103, 104, 106, 108, 113, 116, 126, 133, 152, 153, 157, 158, 159, 160, 161, 164, 167, 169, 172, 176, 177, 185, 189, 190, 191, 193, 194, 195, 196, 199, 200, 201, 205, 208, 210, 211, 212, 213, 214, 215, 218, 219, 221, 222, 225, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 247, 248, 249, 250, 251, 252, 253, 254, 257, 258, 259, 266, 267, 268, 269, 275, 276, 279, 281, 282, 283, 285, 286, 287, 288, 290, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 334, 335, 339, 340, 341, 342, 344, 345, 346, 348, 349, 350, 351, 354, 356, 357, 358, 359, 360, 362, 363, 364, 373, 374, 376, 378, 382, 383, 385, 387, 388, 389, 391, 392, 393, 398, 399, 400, 402, 404, 405, 406, 407, 408, 411, 413, 414, 415, 418, 420, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 439, 440, 441, 442, 445, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 483, 484, 485, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 519, 520, 524, 525, 548, 549, 550, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 587, 588, 589, 590, 591, 592, 593, 594, 595, 600, 601, 602, 603, 604, 605, 606, 608, 610, 614, 615, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 630, 631, 632, 634, 635, 637, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 675, 678, 679, 680, 681, 682, 683, 685, 686, 688, 690, 691, 692, 693, 695, 696, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 763, 764, 772, 777, 791, 798, 852, 853, 855, 856, 857, 858, 859, 860, 861, 863, 865, 867, 869, 871, 872, 875, 879, 880, 881, 883, 884, 885, 886, 888, 889, 890, 893, 894, 897, 898, 900, 901, 902, 903, 904, 905, 906, 908, 910, 912, 914, 918, 922, 923, 924, 925, 926, 927, 929, 930, 933, 934, 936, 937, 938, 939, 940, 941, 942, 944, 946, 948, 949, 950, 952, 953, 957, 958, 961, 962, 963, 965, 966, 967, 968, 970, 971, 972, 975, 976, 979, 980, 982, 983, 984, 985, 986, 987, 988, 990, 992, 994, 995, 996, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1012, 1013, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1059, 1067, 1068, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1097, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1110, 1111, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1137, 1138, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1152, 1153, 1154, 1157, 1162, 1163, 1168, 1170, 1171, 1173, 1175, 1177, 1178, 1179, 1181, 1182, 1183, 1185, 1186, 1187, 1191, 1192, 1193, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1230, 1232, 1234, 1235, 1236, 1238, 1241, 1242, 1245, 1250, 1252, 1254, 1255, 1256, 1257, 1261, 1263, 1265, 1266, 1268, 1275, 1277, 1278, 1279, 1284, 1285, 1286, 1287, 1289, 1290, 1291, 1292, 1293, 1294, 1297, 1301, 1302, 1308, 1309, 1316, 1322, 1325, 1326, 1327, 1329, 1332, 1336, 1337, 1338, 1341, 1342, 1343, 1345, 1346, 1350, 1353, 1355, 1359, 1360, 1365, 1366, 1367, 1369, 1370, 1371, 1372, 1375, 1376, 1385, 1386, 1388, 1395, 1396, 1401, 1402, 1403, 1404, 1405, 1407, 1411, 1412, 1434], "scale_factor": 1, "scale_mod": 1, "none": [1, 5, 14, 35, 69, 71, 72, 89, 90, 95, 102, 103, 104, 152, 157, 167, 169, 171, 172, 176, 177, 181, 185, 186, 189, 190, 199, 207, 208, 209, 214, 215, 216, 217, 218, 220, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 253, 257, 261, 262, 263, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 339, 340, 346, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 368, 370, 375, 376, 378, 379, 380, 382, 383, 384, 385, 386, 387, 393, 398, 401, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 430, 435, 436, 437, 438, 442, 444, 445, 446, 447, 449, 450, 451, 452, 453, 459, 460, 466, 469, 470, 472, 473, 474, 475, 476, 477, 478, 485, 490, 491, 493, 496, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 521, 527, 537, 547, 557, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 590, 591, 595, 603, 607, 609, 612, 613, 617, 623, 627, 628, 629, 631, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 682, 683, 684, 685, 686, 688, 689, 690, 691, 692, 694, 695, 696, 697, 703, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 740, 741, 749, 751, 753, 755, 762, 798, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 852, 855, 857, 865, 867, 868, 869, 871, 872, 873, 875, 876, 879, 880, 888, 894, 897, 900, 902, 910, 912, 913, 914, 916, 918, 919, 926, 930, 933, 936, 938, 946, 948, 949, 950, 952, 953, 954, 957, 958, 961, 962, 965, 970, 976, 979, 982, 984, 992, 994, 995, 996, 998, 1001, 1002, 1005, 1009, 1013, 1014, 1037, 1040, 1042, 1043, 1052, 1054, 1061, 1065, 1069, 1073, 1075, 1087, 1088, 1089, 1090, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1127, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1146, 1151, 1152, 1153, 1154, 1155, 1156, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1169, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1216, 1217, 1219, 1221, 1223, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1299, 1300, 1302, 1305, 1306, 1307, 1308, 1310, 1311, 1312, 1314, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1330, 1334, 1338, 1339, 1342, 1343, 1344, 1348, 1351, 1354, 1355, 1356, 1359, 1360, 1361, 1364, 1369, 1370, 1376, 1377, 1385, 1386, 1387, 1388, 1402, 1407, 1408, 1413, 1414, 1415, 1416, 1418, 1421, 1422, 1423, 1434, 1436], "colormap": [1, 24, 29, 48, 87, 1139, 1141, 1143, 1415, 1421], "blue": [1, 5, 8, 13, 16, 17, 30, 34, 36, 38, 39, 45, 72, 82, 83, 158, 160, 177, 191, 201, 237, 238, 247, 466, 693, 762, 798, 858, 860, 872, 881, 890, 903, 905, 939, 941, 963, 972, 985, 987, 1040, 1042, 1043, 1045, 1089, 1103, 1127, 1128, 1129, 1284, 1285, 1308, 1403, 1416, 1436], "resolut": [1, 35, 94, 97, 101, 105, 382, 383, 385, 386, 387, 1119, 1423], "mlab_sourc": 1, "dataset": [1, 55, 56, 571, 1332], "line": [1, 21, 26, 35, 53, 54, 59, 60, 64, 66, 69, 70, 72, 77, 85, 87, 94, 95, 98, 100, 102, 110, 112, 266, 267, 518, 579, 798, 1040, 1042, 1043, 1045, 1109, 1112, 1139, 1141, 1143, 1212, 1222, 1223, 1302, 1304, 1331, 1332, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1347, 1350, 1351, 1354, 1358, 1361, 1364, 1373, 1375, 1376, 1377, 1378, 1379, 1380, 1384, 1387, 1388, 1396, 1398, 1403, 1410, 1415, 1420, 1421, 1422, 1423, 1424, 1425, 1433, 1434], "edg": [1, 2, 7, 10, 11, 14, 16, 17, 24, 26, 27, 29, 32, 33, 35, 36, 39, 41, 42, 44, 45, 46, 47, 48, 53, 55, 56, 57, 64, 66, 68, 70, 72, 75, 78, 81, 85, 87, 89, 90, 102, 103, 106, 108, 113, 116, 117, 121, 142, 143, 144, 145, 152, 153, 154, 155, 156, 159, 160, 162, 163, 164, 165, 166, 167, 168, 171, 172, 174, 175, 176, 177, 178, 181, 182, 184, 186, 189, 190, 191, 192, 193, 194, 195, 197, 198, 199, 200, 201, 202, 203, 205, 207, 208, 209, 212, 213, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 235, 236, 240, 241, 242, 243, 244, 245, 247, 248, 249, 253, 265, 266, 267, 268, 269, 270, 272, 273, 274, 276, 277, 279, 281, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 336, 337, 339, 340, 343, 344, 345, 347, 348, 349, 352, 353, 357, 358, 359, 361, 372, 376, 378, 379, 380, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 396, 400, 412, 413, 414, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 449, 450, 451, 452, 453, 454, 455, 457, 460, 461, 462, 464, 466, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 487, 488, 489, 490, 491, 492, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 521, 522, 523, 527, 537, 547, 548, 549, 554, 555, 557, 558, 559, 561, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 623, 626, 627, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 702, 703, 705, 706, 710, 712, 713, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 744, 745, 746, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 769, 772, 782, 788, 789, 791, 793, 852, 855, 856, 859, 860, 862, 863, 864, 865, 866, 868, 869, 871, 872, 873, 874, 876, 879, 880, 881, 882, 883, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 897, 900, 901, 904, 905, 907, 908, 909, 910, 911, 913, 914, 916, 919, 922, 923, 924, 926, 927, 928, 929, 930, 933, 936, 937, 940, 941, 943, 944, 945, 946, 947, 949, 950, 952, 953, 954, 955, 956, 958, 961, 962, 963, 964, 965, 966, 967, 969, 970, 971, 972, 973, 974, 975, 976, 979, 982, 983, 986, 987, 989, 990, 991, 992, 993, 995, 996, 998, 1000, 1002, 1005, 1006, 1007, 1009, 1010, 1011, 1012, 1013, 1026, 1027, 1028, 1029, 1032, 1033, 1034, 1035, 1038, 1039, 1041, 1044, 1045, 1055, 1056, 1057, 1060, 1063, 1064, 1066, 1067, 1069, 1071, 1073, 1074, 1075, 1078, 1079, 1081, 1083, 1084, 1085, 1086, 1087, 1088, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1117, 1118, 1120, 1121, 1127, 1128, 1129, 1136, 1139, 1140, 1141, 1143, 1150, 1152, 1153, 1154, 1155, 1156, 1157, 1160, 1162, 1163, 1164, 1167, 1168, 1171, 1173, 1176, 1177, 1179, 1181, 1182, 1183, 1185, 1187, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1212, 1213, 1214, 1215, 1216, 1219, 1221, 1223, 1224, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1273, 1276, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1313, 1315, 1329, 1330, 1331, 1335, 1338, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1367, 1368, 1369, 1370, 1371, 1376, 1377, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1391, 1392, 1395, 1396, 1397, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1433, 1434], "tube": 1, "pipelin": [1, 14], "tube_radiu": 1, "01": [1, 14, 18, 48, 86, 215, 216, 217, 221, 231, 325, 340, 1120, 1176, 1257], "surfac": [1, 33], "8": [1, 8, 9, 11, 12, 13, 15, 17, 20, 28, 33, 35, 36, 37, 39, 40, 43, 45, 55, 58, 64, 65, 66, 67, 69, 81, 82, 85, 89, 90, 100, 102, 112, 116, 126, 233, 268, 269, 296, 334, 335, 341, 342, 344, 348, 376, 381, 382, 385, 386, 389, 391, 412, 416, 426, 427, 428, 446, 503, 513, 514, 571, 588, 610, 621, 627, 673, 697, 705, 708, 709, 710, 763, 777, 798, 1040, 1042, 1043, 1045, 1154, 1178, 1197, 1200, 1208, 1245, 1246, 1251, 1261, 1262, 1268, 1272, 1279, 1281, 1282, 1283, 1302, 1325, 1329, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1350, 1361, 1364, 1369, 1370, 1374, 1377, 1378, 1381, 1382, 1388, 1395, 1403, 1411, 1412, 1414, 1418, 1420, 1421, 1422, 1423, 1424, 1434, 1436], "orientation_ax": 1, "total": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 89, 90, 91, 113, 186, 199, 228, 230, 231, 232, 236, 298, 299, 315, 316, 317, 318, 319, 320, 329, 332, 375, 384, 388, 445, 449, 453, 496, 497, 499, 500, 501, 503, 504, 505, 508, 509, 511, 512, 571, 623, 659, 692, 723, 740, 788, 876, 888, 919, 926, 958, 970, 1002, 1009, 1063, 1084, 1171, 1194, 1215, 1248, 1284, 1285, 1420, 1421, 1423, 1424, 1426, 1429], "run": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 101, 107, 112, 122, 144, 162, 220, 225, 230, 231, 232, 265, 297, 306, 333, 340, 348, 349, 354, 372, 420, 421, 427, 431, 442, 464, 496, 498, 500, 501, 510, 511, 512, 517, 518, 519, 520, 562, 579, 584, 585, 630, 631, 632, 654, 660, 688, 694, 699, 731, 733, 1041, 1046, 1206, 1207, 1230, 1234, 1236, 1238, 1241, 1284, 1285, 1402, 1411, 1415, 1416, 1420, 1421, 1422, 1425, 1429, 1430, 1433, 1434], "time": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 93, 94, 98, 100, 101, 102, 103, 106, 108, 110, 112, 113, 115, 122, 133, 143, 144, 166, 185, 211, 214, 218, 220, 228, 230, 231, 232, 264, 265, 281, 294, 295, 297, 302, 303, 306, 309, 310, 329, 331, 333, 340, 345, 348, 349, 350, 351, 362, 363, 372, 375, 379, 380, 385, 425, 431, 442, 449, 454, 455, 462, 464, 490, 496, 498, 500, 501, 511, 512, 515, 517, 518, 519, 520, 521, 522, 523, 562, 579, 583, 584, 607, 609, 612, 613, 616, 621, 630, 631, 632, 654, 660, 661, 679, 680, 683, 685, 688, 694, 699, 731, 733, 762, 764, 782, 798, 864, 875, 909, 918, 945, 957, 991, 1001, 1040, 1042, 1043, 1046, 1137, 1138, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1187, 1188, 1189, 1190, 1201, 1202, 1203, 1204, 1206, 1207, 1223, 1225, 1230, 1234, 1236, 1238, 1240, 1241, 1245, 1248, 1302, 1308, 1325, 1332, 1403, 1410, 1411, 1412, 1415, 1422, 1423, 1436], "script": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 98, 112, 1415, 1416, 1421], "minut": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90], "000": [1, 3, 11, 12, 50, 52], "second": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 104, 111, 208, 231, 232, 233, 250, 262, 263, 271, 273, 276, 333, 382, 387, 452, 456, 466, 595, 642, 649, 662, 666, 669, 673, 675, 760, 764, 793, 894, 930, 948, 962, 965, 976, 1005, 1013, 1088, 1089, 1118, 1197, 1198, 1209, 1210, 1211, 1213, 1224, 1281, 1282, 1301, 1302, 1308, 1329, 1408, 1416], "python": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 54, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 94, 95, 97, 98, 100, 102, 103, 104, 107, 108, 110, 112, 116, 152, 157, 166, 171, 172, 203, 205, 267, 268, 278, 431, 466, 498, 617, 662, 669, 763, 798, 852, 855, 857, 864, 868, 869, 892, 893, 897, 900, 902, 909, 913, 914, 928, 929, 933, 936, 938, 945, 949, 974, 975, 979, 982, 984, 991, 995, 1011, 1012, 1040, 1041, 1042, 1043, 1049, 1101, 1102, 1287, 1302, 1308, 1313, 1315, 1318, 1330, 1332, 1334, 1336, 1338, 1339, 1342, 1343, 1344, 1348, 1352, 1353, 1362, 1363, 1376, 1377, 1389, 1390, 1391, 1395, 1402, 1403, 1404, 1405, 1408, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "sourc": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 94, 97, 100, 102, 106, 110, 111, 116, 117, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 154, 155, 156, 162, 165, 170, 178, 183, 184, 198, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 533, 536, 537, 538, 539, 540, 541, 542, 544, 545, 546, 547, 549, 550, 551, 552, 553, 555, 556, 557, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 798, 799, 804, 825, 830, 835, 845, 852, 855, 856, 857, 858, 862, 863, 882, 883, 884, 885, 886, 887, 891, 893, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 911, 913, 914, 915, 916, 917, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 933, 936, 965, 969, 975, 979, 982, 983, 991, 994, 995, 996, 1000, 1002, 1005, 1006, 1011, 1012, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1042, 1043, 1046, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1231, 1232, 1233, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1332, 1335, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1396, 1406, 1408, 1413, 1415, 1416, 1418, 1420, 1421, 1422, 1425, 1434, 1436], "mayavi2_spr": [1, 3], "py": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 89, 90, 91, 94, 96, 98, 107, 469, 706, 708, 709, 710, 1302, 1415, 1416, 1420, 1421, 1422, 1423, 1426, 1428, 1430, 1431, 1432, 1433, 1434, 1435], "jupyt": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 106, 1332, 1436], "notebook": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 97, 1332, 1423, 1436], "ipynb": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90], "galleri": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 95, 97, 108, 110, 752, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "gener": [1, 2, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 93, 94, 96, 97, 98, 99, 100, 103, 106, 108, 111, 128, 129, 134, 143, 144, 183, 199, 209, 214, 218, 223, 224, 228, 231, 232, 233, 247, 248, 266, 267, 272, 273, 275, 276, 283, 292, 293, 294, 297, 298, 299, 307, 308, 316, 325, 326, 344, 348, 349, 357, 358, 359, 364, 365, 366, 367, 370, 375, 378, 379, 380, 381, 382, 383, 385, 386, 390, 391, 392, 393, 394, 401, 407, 408, 409, 420, 421, 424, 426, 427, 428, 429, 430, 455, 457, 459, 462, 466, 467, 468, 490, 514, 531, 535, 541, 545, 547, 554, 555, 556, 579, 590, 591, 592, 595, 599, 618, 627, 634, 672, 675, 676, 677, 679, 680, 682, 683, 684, 685, 686, 688, 694, 695, 696, 700, 701, 703, 705, 706, 712, 713, 714, 716, 719, 720, 721, 724, 735, 736, 738, 740, 746, 747, 749, 755, 760, 762, 763, 764, 793, 798, 888, 926, 936, 937, 948, 962, 970, 982, 983, 994, 1009, 1040, 1041, 1042, 1043, 1100, 1114, 1120, 1149, 1157, 1159, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1215, 1216, 1224, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1250, 1262, 1275, 1278, 1279, 1281, 1282, 1283, 1302, 1305, 1307, 1310, 1311, 1325, 1326, 1327, 1331, 1332, 1334, 1337, 1340, 1341, 1342, 1347, 1351, 1353, 1361, 1364, 1375, 1379, 1387, 1388, 1391, 1393, 1404, 1406, 1407, 1408, 1410, 1411, 1412, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1433, 1434], "sphinx": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 94, 98, 100, 1402, 1405, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1432, 1433, 1434], "A": [2, 7, 8, 10, 15, 16, 17, 22, 35, 39, 42, 44, 68, 69, 70, 72, 75, 76, 77, 78, 83, 89, 92, 93, 94, 96, 98, 100, 101, 102, 105, 106, 108, 111, 113, 115, 117, 121, 128, 129, 133, 142, 145, 157, 158, 162, 166, 167, 169, 170, 177, 178, 182, 185, 190, 191, 192, 195, 196, 198, 200, 201, 202, 203, 207, 209, 211, 212, 213, 215, 216, 217, 220, 221, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 240, 241, 250, 252, 258, 259, 260, 261, 262, 263, 265, 268, 269, 270, 272, 273, 274, 275, 276, 277, 279, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 360, 362, 363, 364, 374, 375, 377, 378, 379, 381, 382, 383, 384, 385, 386, 387, 389, 390, 391, 392, 393, 394, 396, 398, 399, 400, 401, 402, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 425, 427, 429, 430, 431, 433, 434, 435, 436, 437, 438, 439, 440, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 459, 460, 461, 462, 464, 466, 467, 468, 469, 470, 471, 473, 474, 475, 476, 477, 478, 479, 480, 481, 483, 484, 485, 486, 490, 493, 494, 496, 498, 502, 504, 505, 506, 507, 508, 509, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 527, 537, 547, 557, 561, 562, 566, 567, 568, 570, 572, 574, 575, 576, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 591, 592, 593, 594, 596, 597, 598, 600, 601, 602, 603, 604, 605, 606, 608, 610, 611, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 633, 634, 659, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 686, 688, 690, 691, 692, 693, 694, 695, 696, 697, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 713, 714, 715, 716, 717, 719, 720, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 760, 762, 763, 764, 772, 777, 784, 788, 791, 793, 798, 851, 857, 858, 864, 865, 867, 872, 874, 875, 880, 881, 882, 885, 886, 889, 890, 891, 892, 896, 902, 903, 909, 910, 912, 917, 918, 924, 925, 927, 928, 929, 932, 933, 937, 938, 939, 945, 946, 948, 952, 953, 955, 957, 962, 964, 966, 967, 968, 971, 973, 974, 978, 979, 983, 984, 985, 991, 992, 994, 999, 1001, 1006, 1007, 1008, 1010, 1011, 1012, 1022, 1023, 1024, 1025, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1055, 1056, 1057, 1059, 1060, 1062, 1064, 1066, 1069, 1071, 1072, 1073, 1074, 1075, 1078, 1083, 1084, 1085, 1087, 1090, 1091, 1094, 1095, 1097, 1098, 1099, 1101, 1103, 1104, 1105, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1125, 1126, 1130, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1156, 1160, 1170, 1174, 1175, 1176, 1177, 1178, 1180, 1181, 1182, 1183, 1184, 1187, 1191, 1193, 1194, 1195, 1196, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1211, 1213, 1214, 1215, 1216, 1222, 1223, 1225, 1228, 1229, 1230, 1233, 1234, 1235, 1238, 1239, 1241, 1242, 1243, 1244, 1245, 1249, 1251, 1261, 1271, 1275, 1276, 1277, 1278, 1279, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1308, 1326, 1327, 1329, 1330, 1332, 1343, 1344, 1345, 1346, 1347, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1361, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1379, 1382, 1388, 1390, 1403, 1404, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1433, 1434], "visual": [2, 26, 28, 33, 35, 53, 55, 57, 62, 68, 77, 94, 97, 98, 221, 429, 693, 752, 788, 1045, 1350, 1387, 1388, 1399, 1434], "us": [2, 6, 7, 11, 14, 16, 17, 26, 27, 29, 31, 33, 35, 36, 39, 40, 44, 45, 47, 49, 50, 53, 54, 55, 56, 57, 58, 59, 62, 64, 66, 71, 74, 76, 80, 81, 85, 87, 89, 93, 94, 95, 98, 100, 101, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 116, 124, 133, 142, 144, 152, 153, 157, 158, 159, 160, 166, 167, 168, 169, 172, 173, 176, 177, 181, 185, 189, 190, 191, 196, 197, 199, 200, 201, 203, 204, 205, 206, 208, 209, 215, 216, 217, 218, 221, 223, 224, 225, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 239, 240, 241, 242, 243, 244, 245, 247, 248, 250, 251, 252, 253, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 281, 282, 283, 284, 285, 286, 291, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 319, 320, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 334, 335, 338, 339, 343, 346, 347, 348, 349, 354, 355, 356, 357, 358, 363, 364, 368, 373, 374, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 389, 390, 391, 392, 393, 394, 396, 401, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 428, 429, 430, 431, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 450, 451, 453, 454, 456, 460, 461, 462, 464, 466, 467, 473, 474, 475, 476, 477, 478, 485, 493, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 519, 520, 521, 522, 523, 525, 529, 539, 547, 554, 555, 556, 557, 561, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 583, 585, 588, 590, 593, 595, 596, 597, 599, 600, 601, 602, 603, 604, 606, 617, 621, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 641, 654, 655, 656, 657, 658, 659, 661, 662, 663, 664, 665, 666, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 687, 688, 689, 690, 691, 693, 694, 697, 700, 701, 702, 707, 721, 723, 724, 725, 726, 727, 728, 731, 733, 735, 736, 737, 738, 739, 740, 750, 753, 754, 755, 762, 764, 772, 777, 781, 782, 788, 793, 798, 850, 851, 853, 854, 855, 856, 857, 858, 859, 860, 864, 865, 866, 867, 869, 870, 871, 872, 873, 875, 879, 880, 881, 886, 887, 888, 889, 890, 892, 893, 894, 895, 896, 898, 899, 900, 901, 902, 903, 904, 905, 909, 910, 911, 912, 914, 915, 916, 918, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 957, 961, 962, 963, 965, 968, 969, 970, 971, 972, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 991, 992, 993, 994, 995, 996, 997, 998, 1001, 1005, 1008, 1009, 1010, 1011, 1012, 1013, 1039, 1040, 1042, 1043, 1045, 1046, 1048, 1049, 1050, 1064, 1069, 1073, 1075, 1084, 1085, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1101, 1102, 1103, 1105, 1106, 1107, 1108, 1111, 1112, 1114, 1117, 1118, 1120, 1122, 1123, 1126, 1127, 1128, 1129, 1131, 1132, 1133, 1136, 1139, 1141, 1142, 1143, 1157, 1160, 1164, 1171, 1172, 1173, 1179, 1181, 1185, 1186, 1188, 1190, 1192, 1193, 1194, 1195, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1208, 1213, 1221, 1224, 1228, 1229, 1233, 1235, 1241, 1248, 1266, 1275, 1276, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1326, 1327, 1329, 1330, 1331, 1332, 1334, 1335, 1336, 1339, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1369, 1370, 1371, 1377, 1381, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1393, 1395, 1396, 1398, 1402, 1403, 1404, 1405, 1407, 1408, 1410, 1411, 1412, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1430, 1432, 1434], "mpl_toolkit": 2, "mplot_3d": 2, "pyplot": [2, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 77, 81, 82, 83, 84, 85, 89, 90, 94, 98, 1045, 1136, 1139, 1141, 1332, 1402, 1415, 1420, 1436], "plt": [2, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 77, 81, 82, 83, 84, 85, 89, 90, 94, 98, 1136, 1139, 1141, 1332, 1416, 1436], "mplot3d": 2, "axes3d": 2, "The": [2, 5, 8, 9, 13, 14, 15, 16, 17, 26, 28, 35, 39, 41, 44, 45, 46, 53, 54, 55, 56, 58, 66, 70, 71, 72, 81, 85, 87, 89, 93, 94, 95, 98, 100, 102, 103, 104, 105, 106, 107, 108, 111, 112, 113, 115, 116, 126, 129, 133, 142, 143, 144, 145, 146, 149, 152, 153, 154, 155, 156, 159, 160, 165, 166, 167, 168, 169, 171, 172, 176, 177, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 198, 199, 200, 201, 205, 207, 208, 209, 211, 212, 213, 214, 218, 219, 220, 221, 222, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 253, 254, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 361, 363, 364, 365, 366, 367, 373, 375, 376, 379, 380, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 403, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 430, 431, 434, 435, 436, 437, 438, 439, 440, 442, 443, 444, 445, 446, 447, 448, 449, 450, 452, 454, 455, 456, 458, 460, 461, 462, 463, 464, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 482, 483, 484, 487, 488, 489, 491, 493, 496, 497, 498, 499, 500, 501, 502, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 526, 527, 536, 537, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 583, 584, 585, 586, 587, 588, 589, 590, 592, 595, 596, 599, 600, 601, 602, 603, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 620, 621, 623, 627, 628, 629, 631, 634, 635, 637, 638, 640, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 700, 701, 703, 704, 705, 706, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 719, 720, 721, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 751, 753, 754, 755, 762, 763, 764, 772, 782, 788, 791, 793, 798, 851, 852, 854, 855, 856, 859, 860, 864, 865, 866, 867, 868, 869, 871, 872, 873, 875, 876, 877, 878, 879, 880, 881, 884, 887, 888, 889, 890, 893, 894, 896, 897, 899, 900, 901, 904, 905, 909, 910, 911, 912, 913, 914, 916, 918, 919, 920, 921, 923, 926, 927, 930, 932, 933, 935, 936, 937, 940, 941, 945, 946, 947, 948, 949, 950, 952, 953, 954, 956, 957, 958, 959, 960, 961, 962, 963, 966, 969, 970, 971, 972, 976, 978, 979, 981, 982, 983, 986, 987, 991, 992, 993, 994, 995, 996, 998, 1000, 1001, 1002, 1003, 1004, 1006, 1009, 1010, 1013, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1039, 1040, 1041, 1042, 1043, 1044, 1046, 1048, 1049, 1050, 1057, 1058, 1062, 1063, 1064, 1069, 1071, 1073, 1075, 1080, 1083, 1085, 1088, 1089, 1091, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1111, 1112, 1115, 1116, 1118, 1119, 1120, 1121, 1123, 1127, 1128, 1129, 1131, 1132, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1157, 1160, 1163, 1166, 1168, 1169, 1170, 1171, 1173, 1174, 1176, 1178, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1268, 1269, 1270, 1272, 1274, 1275, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1304, 1305, 1307, 1308, 1309, 1313, 1316, 1318, 1323, 1324, 1325, 1326, 1327, 1329, 1332, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1359, 1360, 1363, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1376, 1377, 1378, 1385, 1386, 1387, 1388, 1390, 1393, 1395, 1396, 1398, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1422, 1423, 1425, 1426, 1432, 1434, 1436], "779": 2, "extract": [2, 7, 39, 55, 59, 339, 382, 383, 425, 618, 693, 1420, 1428], "node_xyz": 2, "edge_xyz": 2, "u": [2, 5, 7, 16, 26, 27, 35, 39, 46, 47, 56, 59, 68, 71, 81, 90, 97, 103, 106, 107, 111, 115, 116, 133, 152, 153, 159, 169, 171, 172, 174, 175, 177, 186, 190, 193, 194, 203, 205, 208, 247, 248, 258, 259, 260, 262, 263, 265, 281, 283, 285, 286, 287, 288, 290, 292, 293, 296, 298, 299, 300, 306, 316, 317, 321, 323, 332, 334, 335, 358, 360, 373, 374, 376, 411, 413, 414, 418, 420, 424, 432, 433, 442, 452, 457, 466, 468, 471, 472, 473, 474, 475, 476, 477, 483, 487, 490, 491, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 508, 509, 510, 511, 512, 522, 523, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 587, 589, 590, 597, 599, 602, 603, 606, 607, 609, 610, 612, 613, 617, 623, 627, 628, 629, 632, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 674, 675, 678, 679, 681, 687, 690, 691, 694, 696, 705, 706, 713, 719, 720, 721, 730, 736, 738, 750, 762, 798, 855, 856, 859, 867, 868, 869, 872, 876, 880, 883, 884, 892, 893, 894, 900, 901, 904, 912, 913, 914, 919, 922, 923, 928, 930, 936, 937, 940, 948, 949, 950, 953, 956, 958, 962, 965, 966, 974, 975, 976, 982, 983, 986, 994, 995, 996, 1000, 1002, 1005, 1006, 1011, 1013, 1040, 1042, 1043, 1045, 1059, 1067, 1087, 1088, 1157, 1171, 1185, 1191, 1194, 1199, 1201, 1204, 1223, 1225, 1228, 1231, 1239, 1241, 1247, 1281, 1284, 1285, 1288, 1302, 1306, 1313, 1330, 1332, 1334, 1338, 1353, 1362, 1363, 1402, 1403, 1413, 1415, 1436], "creat": [2, 7, 27, 28, 31, 32, 33, 39, 40, 42, 46, 56, 64, 68, 76, 77, 83, 93, 94, 98, 100, 101, 102, 103, 104, 105, 107, 108, 112, 166, 168, 185, 197, 200, 203, 205, 227, 233, 275, 284, 343, 352, 353, 382, 392, 394, 408, 433, 469, 496, 500, 501, 511, 512, 514, 525, 590, 602, 614, 617, 618, 649, 693, 694, 695, 696, 741, 788, 798, 852, 864, 866, 875, 887, 889, 892, 893, 897, 909, 911, 918, 927, 928, 929, 933, 936, 945, 947, 948, 953, 957, 962, 969, 971, 974, 975, 979, 982, 991, 993, 994, 1001, 1010, 1011, 1012, 1039, 1040, 1042, 1043, 1044, 1045, 1064, 1066, 1069, 1085, 1091, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1105, 1107, 1121, 1122, 1123, 1125, 1129, 1130, 1131, 1132, 1134, 1141, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1168, 1169, 1171, 1173, 1174, 1176, 1179, 1181, 1183, 1184, 1186, 1187, 1188, 1189, 1190, 1192, 1193, 1194, 1196, 1197, 1198, 1200, 1202, 1203, 1204, 1206, 1207, 1217, 1219, 1221, 1223, 1226, 1228, 1231, 1239, 1247, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1278, 1279, 1297, 1300, 1301, 1302, 1308, 1317, 1332, 1334, 1338, 1339, 1342, 1343, 1344, 1368, 1370, 1376, 1377, 1381, 1388, 1404, 1409, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1428, 1434], "fig": [2, 6, 26, 27, 28, 33, 35, 39, 51, 57, 62, 71, 83, 84, 94, 1141], "ax": [2, 6, 22, 26, 27, 28, 29, 33, 34, 35, 39, 46, 47, 51, 55, 56, 57, 58, 59, 62, 71, 84, 312, 313, 1115, 1136, 1139, 1140, 1141, 1142, 1143, 1217, 1415, 1419, 1420, 1422, 1423], "add_subplot": [2, 28, 83], "111": [2, 12, 490, 492, 731, 733], "project": [2, 9, 16, 35, 53, 93, 94, 95, 97, 98, 100, 101, 108, 111, 112, 285, 286, 287, 288, 289, 290, 459, 693, 760, 1334, 1404, 1410, 1415, 1422, 1423, 1434], "plot": [2, 27, 28, 34, 35, 41, 51, 55, 56, 57, 58, 59, 71, 81, 85, 94, 106, 1417, 1419, 1422, 1434, 1436], "alpha": [2, 6, 8, 17, 26, 28, 29, 34, 36, 40, 41, 46, 47, 55, 69, 72, 82, 84, 85, 213, 231, 232, 306, 325, 326, 327, 343, 567, 568, 571, 594, 1139, 1140, 1141, 1142, 1143, 1191, 1192, 1205, 1275, 1289, 1290, 1325, 1410, 1415, 1416, 1417, 1434], "i": [2, 5, 6, 7, 8, 9, 11, 13, 14, 16, 17, 22, 25, 26, 27, 28, 29, 35, 37, 39, 40, 42, 44, 45, 46, 51, 53, 55, 56, 57, 58, 59, 64, 65, 68, 69, 70, 72, 81, 84, 89, 90, 92, 93, 94, 95, 96, 97, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 117, 121, 122, 128, 129, 133, 134, 142, 144, 145, 147, 150, 153, 154, 155, 156, 157, 158, 159, 160, 162, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 185, 186, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 529, 532, 533, 534, 536, 537, 539, 542, 543, 544, 546, 547, 551, 552, 557, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 595, 596, 597, 598, 599, 600, 602, 603, 604, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 620, 621, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 641, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 704, 705, 706, 708, 709, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 723, 724, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 748, 750, 751, 753, 754, 755, 756, 762, 763, 764, 769, 777, 782, 784, 788, 791, 793, 798, 850, 851, 852, 856, 857, 858, 859, 860, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 901, 902, 903, 904, 905, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 936, 937, 938, 939, 940, 941, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 982, 983, 984, 985, 986, 987, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1039, 1040, 1042, 1043, 1044, 1045, 1046, 1048, 1049, 1050, 1057, 1058, 1059, 1061, 1063, 1065, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1087, 1088, 1089, 1090, 1091, 1094, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1121, 1122, 1127, 1128, 1129, 1131, 1133, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1221, 1222, 1223, 1224, 1225, 1226, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1297, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1313, 1316, 1317, 1318, 1323, 1324, 1325, 1326, 1327, 1329, 1330, 1331, 1332, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1376, 1377, 1378, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1394, 1395, 1396, 1398, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "scale": [2, 27, 129, 300, 323, 327, 328, 332, 347, 376, 380, 440, 498, 677, 678, 686, 687, 760, 1045, 1109, 1110, 1111, 1112, 1113, 1115, 1116, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1139, 1141, 1143, 1181, 1192, 1199, 1229, 1240, 1329, 1403, 1405, 1410, 1411, 1415, 1416, 1421, 1422], "depth": [2, 340, 348, 349, 354, 365, 367, 389, 391, 392, 396, 407, 408, 452, 514, 639, 640, 642, 643, 644, 645, 646, 679, 680, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 720, 741, 760, 1387, 1388, 1404, 1413, 1415, 1418, 1436], "automat": [2, 53, 56, 94, 95, 152, 602, 798, 855, 900, 936, 982, 1040, 1041, 1042, 1043, 1044, 1100, 1387, 1405, 1415, 1416, 1417], "scatter": [2, 35, 1045, 1139, 1143], "t": [2, 7, 14, 22, 33, 35, 41, 68, 71, 81, 93, 94, 95, 96, 98, 100, 102, 103, 105, 106, 108, 110, 111, 116, 142, 157, 169, 171, 177, 185, 190, 217, 225, 227, 239, 244, 258, 289, 292, 293, 298, 299, 306, 307, 308, 316, 329, 332, 344, 348, 349, 358, 361, 385, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 444, 445, 446, 447, 449, 455, 464, 470, 483, 484, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 508, 509, 510, 511, 512, 547, 563, 564, 565, 575, 594, 595, 616, 620, 621, 635, 672, 677, 686, 688, 690, 697, 700, 710, 718, 722, 730, 732, 733, 737, 739, 750, 752, 763, 798, 857, 867, 868, 872, 875, 880, 902, 912, 913, 918, 938, 948, 949, 950, 953, 957, 962, 966, 984, 994, 995, 996, 1001, 1006, 1040, 1042, 1043, 1066, 1087, 1120, 1181, 1183, 1185, 1207, 1208, 1213, 1214, 1219, 1221, 1222, 1228, 1275, 1278, 1289, 1290, 1302, 1308, 1332, 1337, 1340, 1410, 1412, 1413, 1415, 1416, 1419, 1420, 1421, 1422, 1423, 1425, 1434], "": [2, 8, 10, 11, 16, 25, 35, 39, 41, 45, 53, 56, 59, 66, 67, 68, 69, 70, 89, 92, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 106, 107, 108, 111, 116, 117, 142, 152, 153, 158, 159, 166, 196, 208, 215, 216, 217, 218, 221, 225, 227, 228, 231, 232, 236, 258, 259, 260, 278, 282, 283, 285, 287, 289, 292, 293, 298, 299, 300, 306, 307, 308, 316, 317, 318, 319, 320, 321, 323, 327, 332, 344, 354, 364, 387, 392, 394, 401, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 429, 430, 436, 443, 444, 445, 446, 447, 448, 449, 450, 451, 455, 459, 466, 472, 478, 480, 496, 497, 499, 500, 501, 502, 503, 504, 505, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 519, 520, 521, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 571, 579, 610, 620, 627, 630, 631, 632, 635, 655, 656, 657, 658, 661, 662, 669, 677, 681, 687, 688, 689, 690, 691, 700, 701, 712, 713, 714, 715, 716, 717, 734, 735, 736, 737, 738, 739, 760, 763, 793, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 855, 856, 858, 859, 864, 886, 894, 900, 901, 903, 904, 909, 925, 930, 933, 936, 937, 939, 940, 945, 949, 968, 976, 979, 982, 983, 985, 986, 991, 995, 1008, 1013, 1042, 1043, 1048, 1049, 1050, 1088, 1089, 1108, 1120, 1127, 1128, 1129, 1139, 1141, 1142, 1152, 1163, 1171, 1174, 1176, 1179, 1183, 1186, 1188, 1189, 1190, 1209, 1225, 1226, 1227, 1232, 1241, 1245, 1270, 1273, 1275, 1281, 1282, 1283, 1288, 1302, 1319, 1326, 1327, 1331, 1332, 1334, 1347, 1361, 1362, 1363, 1365, 1367, 1368, 1371, 1377, 1387, 1390, 1395, 1403, 1404, 1406, 1407, 1414, 1415, 1416, 1418, 1421, 1422, 1423, 1425, 1436], "100": [2, 5, 7, 14, 28, 32, 33, 35, 41, 44, 94, 102, 110, 231, 232, 312, 313, 375, 499, 503, 506, 507, 510, 566, 568, 600, 627, 686, 695, 696, 798, 1040, 1042, 1043, 1174, 1181, 1185, 1192, 1203, 1231, 1243, 1244, 1293, 1308, 1329, 1414, 1422, 1423, 1434, 1436], "ec": [2, 26, 1140], "w": [2, 9, 39, 50, 56, 65, 67, 68, 72, 90, 115, 133, 142, 159, 165, 178, 184, 207, 220, 227, 236, 240, 241, 268, 278, 279, 281, 286, 290, 302, 303, 309, 310, 327, 354, 358, 360, 364, 376, 379, 469, 470, 471, 478, 479, 480, 481, 498, 510, 569, 570, 574, 575, 576, 587, 589, 595, 620, 678, 689, 690, 691, 705, 859, 904, 940, 986, 1179, 1185, 1199, 1204, 1206, 1213, 1216, 1223, 1225, 1231, 1239, 1241, 1247, 1273, 1306, 1343, 1403, 1414, 1419, 1421, 1422, 1423, 1429, 1430, 1436], "vizedg": 2, "tab": [2, 13, 33, 34, 36, 39, 84, 1422], "grai": [2, 33, 36, 70, 1045], "def": [2, 5, 7, 8, 11, 14, 17, 26, 35, 37, 39, 46, 50, 68, 69, 70, 72, 81, 85, 89, 90, 94, 98, 102, 103, 104, 286, 376, 502, 588, 620, 621, 628, 656, 678, 682, 798, 1039, 1040, 1042, 1043, 1091, 1157, 1160, 1241, 1302, 1303, 1304, 1305, 1306, 1307, 1326, 1327, 1417, 1422], "_format_ax": 2, "option": [2, 5, 8, 22, 30, 31, 36, 44, 56, 66, 70, 72, 83, 84, 85, 89, 94, 100, 101, 102, 105, 110, 112, 113, 152, 153, 157, 158, 159, 166, 167, 169, 176, 177, 185, 186, 189, 190, 197, 199, 205, 207, 217, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 253, 257, 259, 261, 262, 263, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 277, 281, 283, 290, 291, 294, 295, 296, 297, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 339, 340, 346, 348, 349, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 375, 382, 383, 385, 386, 387, 393, 398, 412, 415, 416, 417, 424, 435, 436, 437, 438, 451, 459, 460, 461, 466, 469, 470, 472, 473, 474, 475, 476, 477, 478, 490, 493, 504, 505, 508, 509, 513, 521, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 583, 585, 590, 595, 599, 606, 617, 623, 626, 627, 630, 631, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 654, 658, 662, 663, 664, 666, 669, 670, 671, 672, 679, 680, 683, 684, 685, 686, 687, 689, 690, 691, 692, 693, 694, 695, 696, 697, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 736, 738, 798, 852, 855, 856, 857, 858, 859, 864, 865, 867, 871, 872, 875, 876, 879, 880, 887, 888, 893, 897, 900, 901, 902, 903, 904, 909, 910, 912, 918, 919, 926, 929, 933, 936, 937, 938, 939, 940, 945, 946, 948, 949, 950, 952, 953, 957, 958, 961, 962, 965, 969, 970, 975, 979, 982, 983, 984, 985, 986, 991, 992, 994, 995, 996, 1001, 1002, 1005, 1009, 1039, 1040, 1042, 1043, 1045, 1055, 1056, 1057, 1073, 1075, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1111, 1114, 1118, 1120, 1121, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1174, 1175, 1176, 1179, 1181, 1183, 1184, 1186, 1187, 1188, 1189, 1190, 1192, 1195, 1196, 1197, 1198, 1199, 1202, 1203, 1204, 1205, 1206, 1207, 1213, 1217, 1219, 1221, 1223, 1228, 1230, 1234, 1236, 1237, 1238, 1241, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1305, 1308, 1311, 1312, 1326, 1327, 1334, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1354, 1355, 1356, 1361, 1364, 1369, 1375, 1376, 1377, 1378, 1382, 1396, 1402, 1403, 1404, 1407, 1408, 1411, 1413, 1415, 1416, 1417, 1418, 1421, 1422, 1423, 1425, 1434, 1436], "turn": [2, 53, 56, 93, 100, 221, 235, 339, 1048, 1120, 1139, 1140, 1141, 1142, 1278, 1418, 1421], "gridlin": 2, "off": [2, 6, 7, 17, 22, 26, 27, 34, 36, 40, 47, 51, 55, 56, 58, 59, 110, 473, 474, 475, 476, 477, 579, 1120, 1139, 1141, 1170, 1268, 1415, 1433], "grid": [2, 21, 24, 44, 48, 55, 59, 74, 79, 87, 430, 478, 616, 1201, 1217, 1218, 1219, 1221, 1277, 1329, 1415, 1417], "fals": [2, 6, 7, 10, 15, 30, 31, 33, 35, 37, 41, 71, 81, 82, 85, 103, 146, 147, 149, 150, 166, 169, 172, 177, 179, 185, 190, 197, 203, 205, 209, 233, 238, 239, 243, 244, 246, 250, 251, 255, 266, 267, 269, 273, 276, 287, 288, 289, 292, 295, 298, 299, 308, 311, 316, 327, 332, 337, 345, 355, 357, 364, 389, 391, 392, 395, 396, 397, 398, 399, 400, 422, 423, 424, 464, 465, 466, 469, 473, 474, 476, 477, 481, 490, 491, 493, 494, 496, 500, 501, 511, 512, 515, 516, 517, 518, 519, 520, 522, 523, 524, 551, 552, 553, 555, 557, 564, 583, 586, 587, 588, 589, 590, 615, 616, 618, 619, 624, 627, 638, 654, 665, 681, 698, 700, 701, 706, 710, 721, 725, 726, 727, 728, 730, 732, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 748, 763, 850, 864, 867, 869, 872, 875, 880, 887, 892, 893, 895, 909, 912, 914, 918, 928, 929, 931, 933, 945, 948, 950, 953, 957, 962, 969, 974, 975, 977, 979, 991, 994, 996, 1001, 1011, 1012, 1038, 1039, 1042, 1043, 1066, 1071, 1073, 1075, 1086, 1087, 1088, 1089, 1091, 1092, 1093, 1094, 1100, 1101, 1104, 1119, 1121, 1139, 1141, 1160, 1174, 1175, 1176, 1179, 1185, 1195, 1214, 1217, 1218, 1219, 1221, 1230, 1234, 1236, 1237, 1238, 1281, 1282, 1283, 1284, 1285, 1288, 1301, 1302, 1303, 1306, 1313, 1315, 1318, 1319, 1341, 1342, 1345, 1348, 1358, 1360, 1361, 1362, 1363, 1364, 1366, 1367, 1368, 1369, 1370, 1384, 1386, 1387, 1388, 1402, 1403, 1406, 1408, 1410, 1415, 1422, 1425, 1426, 1432, 1434], "suppress": [2, 27, 102], "tick": [2, 1419, 1420], "label": [2, 6, 7, 8, 16, 17, 24, 26, 35, 47, 48, 78, 87, 98, 152, 153, 228, 266, 267, 268, 284, 288, 362, 380, 381, 393, 402, 462, 503, 510, 511, 513, 514, 590, 593, 594, 597, 623, 641, 642, 643, 645, 653, 654, 657, 658, 659, 660, 662, 666, 668, 669, 671, 713, 730, 731, 733, 741, 760, 762, 772, 793, 855, 856, 900, 901, 936, 937, 982, 983, 1045, 1084, 1088, 1089, 1127, 1128, 1129, 1136, 1139, 1140, 1141, 1142, 1143, 1151, 1155, 1162, 1166, 1167, 1169, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1228, 1261, 1300, 1301, 1329, 1332, 1335, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1359, 1360, 1375, 1376, 1377, 1378, 1385, 1386, 1387, 1388, 1396, 1403, 1408, 1413, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1436], "xaxi": 2, "yaxi": 2, "zaxi": 2, "set_tick": 2, "set": [2, 4, 5, 7, 11, 17, 18, 22, 25, 26, 27, 29, 33, 34, 45, 53, 54, 55, 58, 59, 60, 66, 72, 78, 84, 87, 89, 94, 98, 100, 102, 104, 106, 111, 115, 116, 117, 128, 133, 142, 145, 157, 158, 160, 165, 169, 185, 190, 191, 196, 200, 201, 207, 208, 210, 212, 213, 219, 220, 221, 222, 223, 224, 225, 227, 228, 229, 230, 231, 232, 233, 236, 252, 253, 254, 256, 258, 259, 260, 261, 265, 266, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 316, 317, 318, 319, 320, 321, 324, 332, 337, 339, 340, 344, 352, 354, 364, 368, 372, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 390, 392, 393, 394, 401, 402, 407, 408, 409, 412, 413, 414, 416, 417, 418, 419, 424, 427, 428, 429, 430, 432, 433, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 456, 458, 459, 462, 463, 467, 472, 473, 476, 485, 486, 496, 499, 502, 508, 514, 516, 517, 520, 548, 549, 550, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 583, 584, 585, 588, 590, 591, 595, 596, 600, 601, 603, 604, 605, 607, 609, 610, 612, 613, 616, 617, 618, 620, 621, 635, 642, 662, 663, 664, 672, 677, 683, 690, 691, 692, 693, 705, 711, 719, 720, 721, 722, 733, 734, 740, 747, 751, 754, 760, 762, 764, 798, 801, 802, 806, 807, 810, 811, 814, 815, 818, 819, 822, 823, 827, 828, 832, 833, 837, 838, 842, 843, 847, 848, 857, 858, 860, 867, 875, 880, 881, 886, 889, 890, 894, 902, 903, 905, 912, 918, 925, 927, 930, 938, 939, 941, 948, 957, 962, 963, 968, 971, 972, 976, 984, 985, 987, 994, 1001, 1008, 1010, 1013, 1040, 1041, 1042, 1043, 1045, 1046, 1069, 1088, 1089, 1097, 1100, 1105, 1106, 1109, 1110, 1114, 1120, 1127, 1129, 1139, 1143, 1154, 1171, 1185, 1186, 1191, 1195, 1201, 1205, 1209, 1210, 1211, 1212, 1223, 1224, 1225, 1232, 1237, 1241, 1242, 1263, 1276, 1279, 1284, 1285, 1293, 1294, 1301, 1302, 1307, 1309, 1310, 1311, 1316, 1328, 1330, 1331, 1332, 1334, 1347, 1350, 1361, 1364, 1387, 1388, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1434, 1436], "set_xlabel": [2, 28], "set_ylabel": [2, 28], "set_zlabel": 2, "tight_layout": [2, 6, 10, 16, 26, 28, 33, 34, 36, 39, 41, 47, 62, 71, 83, 84], "show": [2, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 57, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 76, 78, 81, 82, 83, 84, 85, 89, 90, 94, 327, 359, 493, 494, 614, 617, 1041, 1069, 1118, 1245, 1415, 1417, 1421, 1434, 1436], "117": [2, 3], "plot_bas": [2, 3], "00": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91, 314, 1395], "execut": [3, 5, 18, 23, 48, 52, 60, 73, 79, 86, 91, 94, 95, 108, 375, 380, 382, 383, 496, 500, 501, 511, 512, 566, 568, 673, 675, 1049, 1216, 1302, 1306, 1421, 1428], "auto_examples_3d_draw": 3, "file": [3, 18, 23, 26, 35, 41, 48, 50, 52, 54, 55, 58, 59, 60, 66, 67, 70, 72, 73, 76, 77, 78, 79, 85, 86, 87, 90, 91, 94, 98, 100, 112, 268, 269, 327, 798, 1040, 1042, 1043, 1045, 1048, 1049, 1124, 1126, 1129, 1133, 1135, 1149, 1150, 1204, 1302, 1306, 1330, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1358, 1360, 1362, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1384, 1386, 1388, 1389, 1390, 1391, 1395, 1398, 1402, 1403, 1406, 1407, 1410, 1413, 1415, 1416, 1420, 1421, 1422, 1428, 1433, 1434], "mb": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91], "beam": [4, 18, 87, 705, 760, 1416], "search": [4, 18, 87, 94, 111, 209, 216, 217, 231, 232, 340, 341, 343, 344, 345, 347, 348, 349, 350, 351, 354, 355, 389, 391, 392, 396, 407, 408, 424, 425, 452, 455, 491, 496, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 655, 658, 659, 662, 663, 664, 669, 670, 671, 672, 677, 679, 680, 682, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 724, 725, 726, 727, 728, 730, 760, 1326, 1327, 1332, 1415, 1416, 1421, 1422, 1423], "between": [4, 12, 18, 26, 27, 32, 35, 39, 44, 45, 53, 55, 56, 57, 59, 66, 72, 87, 95, 101, 102, 104, 108, 113, 115, 116, 133, 142, 146, 149, 152, 166, 186, 193, 194, 200, 211, 215, 216, 217, 218, 221, 226, 227, 228, 229, 230, 231, 232, 233, 250, 258, 262, 263, 282, 287, 288, 289, 296, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 315, 316, 317, 321, 323, 324, 328, 329, 331, 332, 373, 374, 376, 379, 382, 383, 387, 389, 391, 392, 396, 400, 410, 412, 416, 417, 419, 420, 421, 424, 430, 433, 444, 445, 446, 447, 449, 456, 462, 466, 478, 481, 487, 488, 489, 502, 510, 511, 513, 514, 531, 532, 535, 541, 542, 545, 555, 563, 565, 567, 571, 576, 578, 592, 603, 606, 610, 628, 629, 630, 631, 634, 637, 638, 639, 640, 641, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 655, 656, 657, 659, 661, 662, 663, 664, 667, 668, 669, 670, 671, 673, 675, 676, 678, 679, 680, 681, 682, 688, 693, 731, 733, 753, 755, 760, 762, 763, 764, 781, 788, 798, 855, 864, 876, 883, 884, 889, 900, 909, 919, 922, 923, 927, 936, 945, 948, 949, 950, 956, 958, 962, 965, 966, 971, 982, 991, 994, 995, 996, 1000, 1002, 1005, 1006, 1010, 1040, 1042, 1043, 1088, 1089, 1097, 1111, 1120, 1174, 1175, 1176, 1179, 1185, 1191, 1192, 1194, 1198, 1199, 1200, 1201, 1202, 1203, 1205, 1208, 1209, 1211, 1212, 1213, 1214, 1216, 1220, 1221, 1235, 1248, 1279, 1301, 1308, 1329, 1332, 1335, 1402, 1404, 1406, 1408, 1410, 1411, 1415, 1418, 1420, 1422, 1423, 1434, 1436], "central": [4, 14, 18, 57, 87, 258, 259, 260, 285, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 309, 310, 312, 313, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 373, 374, 376, 571, 705, 760, 1261, 1331, 1402, 1403, 1404, 1408, 1410, 1411, 1415, 1416, 1417, 1418, 1420, 1422, 1423, 1429, 1434], "blockmodel": [4, 18, 87, 590, 1179, 1415], "circuit": [4, 18, 87, 140, 228, 451, 454, 455, 490, 493, 494, 495, 518, 1411, 1415, 1416, 1422], "davi": [4, 18, 87, 92, 1271, 1407, 1415, 1419, 1421], "club": [4, 18, 61, 73, 87, 627, 760, 1273, 1331, 1406, 1407, 1415, 1423], "dedensif": [4, 18, 87, 692, 788, 1422], "iter": [4, 7, 14, 18, 33, 41, 46, 87, 89, 102, 103, 152, 153, 158, 159, 160, 161, 167, 168, 169, 176, 177, 181, 182, 185, 189, 190, 191, 192, 196, 200, 201, 202, 208, 209, 230, 231, 232, 236, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 261, 262, 263, 267, 269, 271, 285, 286, 287, 288, 289, 290, 292, 293, 296, 312, 313, 325, 339, 347, 348, 349, 358, 364, 365, 366, 367, 371, 375, 376, 377, 379, 380, 381, 387, 454, 455, 457, 466, 467, 468, 479, 486, 490, 491, 513, 514, 515, 516, 518, 525, 528, 538, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 588, 590, 591, 593, 594, 596, 597, 598, 599, 606, 616, 620, 621, 638, 640, 646, 648, 651, 668, 678, 679, 680, 693, 705, 706, 707, 708, 709, 710, 712, 713, 721, 735, 736, 738, 798, 851, 853, 855, 856, 858, 859, 860, 861, 865, 866, 867, 871, 872, 873, 874, 875, 879, 880, 881, 882, 886, 889, 890, 891, 894, 896, 898, 900, 901, 903, 904, 905, 906, 910, 911, 912, 916, 917, 918, 925, 927, 930, 932, 933, 934, 936, 937, 939, 940, 941, 942, 946, 947, 948, 952, 953, 954, 955, 957, 961, 962, 963, 964, 968, 971, 972, 973, 976, 978, 979, 980, 982, 983, 985, 986, 987, 988, 992, 993, 994, 998, 999, 1001, 1008, 1010, 1013, 1040, 1042, 1043, 1046, 1055, 1056, 1057, 1058, 1059, 1064, 1077, 1078, 1079, 1080, 1085, 1087, 1090, 1096, 1100, 1103, 1120, 1127, 1129, 1156, 1157, 1158, 1160, 1163, 1165, 1166, 1169, 1171, 1199, 1202, 1203, 1204, 1205, 1213, 1216, 1217, 1218, 1225, 1240, 1242, 1278, 1281, 1282, 1283, 1284, 1285, 1302, 1308, 1309, 1313, 1314, 1317, 1318, 1319, 1330, 1332, 1338, 1342, 1345, 1354, 1359, 1360, 1373, 1376, 1380, 1385, 1386, 1402, 1404, 1413, 1415, 1416, 1417, 1420, 1421, 1422, 1434, 1436], "dynam": [4, 5, 18, 87, 111, 694, 1172, 1173, 1231, 1247, 1347, 1348, 1350, 1389, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "system": [4, 18, 87, 94, 106, 108, 112, 347, 379, 518, 594, 1208, 1281, 1282, 1283, 1286, 1296, 1329, 1390, 1402, 1403, 1415, 1416, 1421, 1436], "krackhardt": [4, 18, 87, 1261], "maximum": [4, 11, 18, 87, 113, 116, 210, 211, 212, 213, 215, 216, 218, 223, 225, 228, 258, 260, 265, 278, 279, 280, 282, 289, 297, 305, 312, 313, 316, 317, 318, 319, 320, 322, 325, 330, 332, 341, 343, 344, 345, 348, 349, 354, 358, 363, 375, 379, 382, 384, 385, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 430, 442, 474, 475, 496, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 522, 523, 566, 568, 583, 585, 591, 593, 594, 672, 673, 674, 675, 676, 678, 693, 695, 696, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 722, 725, 726, 734, 736, 737, 738, 739, 742, 743, 751, 760, 770, 793, 1120, 1139, 1141, 1143, 1171, 1187, 1204, 1205, 1206, 1207, 1214, 1231, 1243, 1244, 1308, 1329, 1387, 1388, 1404, 1411, 1415, 1416, 1421, 1422], "independ": [4, 18, 66, 87, 102, 103, 113, 115, 133, 166, 210, 212, 213, 215, 216, 217, 221, 225, 250, 282, 339, 354, 368, 372, 420, 421, 481, 580, 591, 760, 762, 788, 864, 909, 945, 991, 1179, 1201, 1209, 1228, 1331, 1404, 1407, 1409, 1415], "parallel": [4, 18, 53, 57, 87, 108, 270, 272, 274, 277, 284, 347, 348, 349, 434, 435, 436, 437, 438, 439, 440, 445, 450, 587, 589, 603, 614, 627, 680, 695, 700, 701, 798, 946, 952, 961, 1039, 1040, 1041, 1091, 1101, 1104, 1105, 1106, 1140, 1181, 1183, 1228, 1245, 1251, 1281, 1282, 1283, 1287, 1348, 1359, 1360, 1362, 1363, 1397, 1402, 1415, 1422], "revers": [4, 18, 28, 68, 84, 85, 87, 178, 300, 312, 313, 317, 319, 325, 326, 392, 394, 401, 407, 408, 409, 452, 468, 638, 706, 710, 713, 719, 720, 754, 760, 1038, 1041, 1086, 1195, 1205, 1327, 1402, 1404, 1411, 1413, 1415, 1416, 1421, 1430, 1434], "cuthil": [4, 18, 87, 1326, 1327, 1331, 1408, 1415], "mckee": [4, 18, 87, 1326, 1327, 1331, 1408, 1415], "snap": [4, 18, 87, 693, 1422], "summari": [4, 18, 26, 87, 101, 105, 231, 232, 616, 618, 693, 788], "subgraph": [4, 6, 7, 18, 25, 26, 28, 51, 72, 81, 84, 85, 87, 128, 144, 145, 146, 147, 148, 149, 150, 168, 210, 212, 213, 221, 227, 301, 334, 335, 348, 349, 358, 390, 391, 392, 394, 408, 425, 427, 428, 429, 434, 435, 436, 437, 438, 439, 472, 489, 513, 514, 522, 523, 534, 535, 544, 545, 547, 590, 591, 611, 617, 618, 620, 621, 626, 635, 688, 697, 736, 738, 749, 760, 762, 763, 866, 911, 947, 993, 1039, 1041, 1064, 1069, 1085, 1091, 1105, 1106, 1108, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1152, 1163, 1195, 1222, 1408, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1423, 1428, 1434], "width": [5, 7, 16, 22, 26, 29, 30, 33, 34, 36, 39, 45, 47, 66, 69, 70, 71, 84, 302, 303, 309, 310, 705, 1045, 1062, 1109, 1139, 1141, 1143, 1332, 1403, 1415, 1418, 1422, 1423, 1436], "progress": [5, 94, 100, 101, 105, 376, 1046, 1196], "widen": 5, "repeatedli": [5, 210, 221, 368, 372, 380, 385, 452, 621, 712, 713, 714, 715, 716, 717, 719, 720, 731, 733], "increas": [5, 44, 95, 98, 108, 231, 232, 294, 295, 314, 382, 383, 385, 386, 389, 392, 396, 514, 665, 694, 721, 730, 735, 788, 956, 1000, 1119, 1120, 1143, 1149, 1150, 1158, 1181, 1183, 1191, 1213, 1216, 1225, 1228, 1247, 1300, 1415, 1422, 1433], "until": [5, 11, 216, 217, 223, 270, 274, 277, 375, 382, 385, 386, 452, 514, 693, 712, 713, 714, 715, 716, 717, 719, 720, 763, 1120, 1171, 1194, 1231, 1243, 1244, 1403, 1420], "target": [5, 20, 51, 72, 215, 216, 217, 240, 241, 242, 243, 244, 245, 248, 292, 293, 298, 299, 303, 306, 308, 310, 316, 332, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 430, 504, 505, 508, 509, 590, 593, 594, 621, 628, 629, 630, 632, 633, 634, 636, 637, 638, 639, 640, 641, 642, 643, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 661, 662, 663, 666, 667, 668, 669, 670, 678, 679, 680, 682, 693, 754, 1103, 1107, 1141, 1188, 1190, 1213, 1216, 1275, 1301, 1335, 1344, 1351, 1356, 1367, 1368, 1369, 1370, 1396, 1406, 1408, 1415, 1416, 1420, 1421, 1425, 1434], "found": [5, 26, 35, 41, 46, 70, 72, 85, 92, 95, 97, 101, 113, 129, 145, 146, 149, 171, 209, 210, 214, 216, 217, 227, 233, 251, 265, 294, 334, 335, 341, 342, 344, 348, 375, 380, 382, 424, 425, 437, 442, 452, 456, 498, 499, 503, 506, 507, 510, 521, 532, 536, 542, 546, 571, 583, 585, 626, 627, 659, 679, 680, 693, 735, 736, 737, 738, 739, 868, 913, 949, 950, 995, 996, 1121, 1171, 1212, 1224, 1225, 1241, 1243, 1244, 1276, 1329, 1348, 1362, 1390, 1402, 1414, 1420, 1423, 1426, 1436], "math": [5, 36, 45, 69, 84, 325, 326, 327, 446, 492, 514, 516, 520, 554, 555, 556, 608, 610, 620, 621, 695, 1201, 1203, 1204, 1230, 1234, 1238, 1332, 1423, 1429], "progressive_widening_search": 5, "valu": [5, 6, 7, 11, 16, 26, 29, 35, 40, 50, 57, 62, 66, 68, 72, 81, 84, 85, 89, 95, 96, 97, 98, 100, 101, 102, 104, 108, 116, 142, 144, 145, 152, 157, 160, 167, 169, 171, 176, 177, 181, 185, 189, 190, 191, 199, 201, 209, 215, 216, 217, 221, 223, 224, 231, 232, 233, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 258, 259, 260, 262, 263, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 281, 282, 283, 284, 285, 290, 291, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 317, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 333, 334, 335, 336, 338, 348, 354, 357, 358, 359, 360, 362, 363, 364, 373, 374, 376, 382, 383, 384, 385, 386, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 430, 431, 434, 454, 460, 462, 464, 467, 472, 473, 474, 475, 476, 477, 478, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 519, 521, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 583, 588, 590, 595, 596, 597, 599, 600, 602, 603, 606, 617, 621, 627, 628, 629, 631, 634, 635, 637, 638, 640, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 682, 684, 687, 689, 690, 693, 705, 715, 717, 723, 724, 725, 726, 727, 728, 751, 752, 753, 754, 777, 798, 852, 855, 857, 860, 865, 867, 868, 871, 872, 873, 875, 879, 880, 881, 888, 890, 897, 900, 902, 905, 910, 912, 913, 916, 918, 926, 933, 938, 941, 946, 948, 949, 952, 953, 954, 957, 961, 962, 963, 970, 972, 979, 984, 987, 992, 994, 995, 998, 1001, 1009, 1022, 1023, 1024, 1025, 1040, 1041, 1042, 1043, 1045, 1046, 1062, 1087, 1088, 1089, 1097, 1103, 1104, 1105, 1106, 1108, 1111, 1115, 1117, 1118, 1119, 1120, 1121, 1136, 1139, 1140, 1141, 1142, 1143, 1160, 1171, 1199, 1200, 1202, 1203, 1204, 1213, 1215, 1216, 1217, 1218, 1230, 1234, 1235, 1238, 1245, 1275, 1277, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1301, 1302, 1305, 1307, 1309, 1316, 1317, 1321, 1323, 1324, 1325, 1330, 1332, 1334, 1341, 1343, 1344, 1345, 1346, 1347, 1348, 1351, 1352, 1353, 1354, 1355, 1356, 1361, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1387, 1388, 1390, 1402, 1403, 1405, 1408, 1410, 1411, 1413, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1434, 1436], "condit": [5, 111, 133, 302, 303, 309, 310, 385, 456, 493, 519, 520, 547, 617, 1171, 1202, 1203, 1204, 1214, 1215, 1221, 1421, 1425], "initial_width": 5, "find": [5, 7, 17, 26, 31, 40, 70, 85, 94, 97, 100, 101, 102, 113, 116, 117, 118, 120, 122, 126, 128, 129, 131, 145, 146, 149, 211, 212, 213, 214, 216, 217, 221, 223, 227, 228, 230, 231, 232, 233, 250, 265, 279, 313, 325, 326, 332, 345, 348, 349, 354, 362, 368, 376, 378, 379, 381, 382, 385, 386, 387, 389, 391, 392, 396, 407, 408, 412, 416, 424, 425, 426, 427, 428, 429, 430, 442, 451, 452, 454, 455, 466, 470, 485, 493, 496, 498, 500, 501, 503, 504, 505, 507, 510, 511, 512, 514, 521, 523, 577, 583, 584, 621, 626, 628, 630, 631, 632, 638, 649, 655, 656, 657, 659, 661, 662, 663, 664, 665, 669, 670, 671, 677, 678, 682, 695, 696, 707, 722, 734, 736, 737, 738, 739, 759, 762, 763, 767, 770, 782, 788, 793, 1058, 1079, 1080, 1171, 1328, 1332, 1334, 1387, 1401, 1404, 1406, 1408, 1409, 1413, 1415, 1416, 1417, 1422, 1423, 1434, 1436], "involv": [5, 93, 94, 96, 101, 102, 103, 104, 108, 301, 333, 551, 638], "repeat": [5, 11, 93, 95, 214, 221, 223, 679, 680, 682, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1186, 1191, 1194, 1225, 1231, 1248, 1396, 1408, 1410, 1411, 1422], "start": [5, 11, 14, 37, 68, 93, 94, 97, 102, 103, 113, 154, 155, 207, 216, 218, 223, 228, 230, 231, 232, 268, 269, 275, 301, 312, 325, 334, 335, 373, 374, 385, 440, 451, 483, 484, 485, 490, 491, 493, 566, 568, 585, 597, 628, 629, 633, 634, 636, 637, 638, 641, 642, 643, 644, 652, 653, 654, 655, 656, 657, 658, 659, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 679, 680, 682, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 730, 1045, 1117, 1118, 1131, 1132, 1151, 1170, 1177, 1181, 1183, 1184, 1187, 1192, 1205, 1228, 1229, 1233, 1235, 1246, 1248, 1278, 1300, 1302, 1326, 1327, 1329, 1332, 1343, 1344, 1345, 1346, 1387, 1388, 1404, 1415, 1417, 1419, 1422, 1436], "small": [5, 67, 89, 100, 102, 106, 232, 235, 264, 300, 333, 354, 357, 412, 416, 473, 474, 475, 476, 477, 487, 488, 489, 522, 523, 595, 683, 684, 686, 705, 751, 760, 763, 788, 1172, 1173, 1199, 1201, 1230, 1231, 1234, 1236, 1238, 1239, 1247, 1266, 1273, 1331, 1398, 1407, 1411, 1415, 1416, 1418, 1420, 1422, 1423], "extend": [5, 54, 87, 100, 107, 265, 428, 442, 452, 532, 542, 680, 687, 706, 719, 720, 1198, 1235, 1351, 1354, 1355, 1356, 1390, 1416, 1422], "larger": [5, 101, 103, 108, 162, 382, 383, 385, 386, 387, 513, 514, 627, 793, 1118, 1120, 1127, 1199, 1302, 1422], "thi": [5, 7, 8, 11, 14, 17, 28, 33, 35, 42, 44, 45, 46, 50, 54, 55, 56, 57, 58, 59, 62, 64, 66, 68, 70, 71, 72, 77, 81, 82, 84, 85, 87, 89, 92, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 116, 126, 133, 144, 145, 153, 157, 158, 159, 160, 162, 163, 165, 166, 167, 168, 169, 171, 172, 174, 175, 176, 180, 181, 186, 189, 190, 191, 196, 201, 203, 204, 205, 206, 207, 208, 211, 212, 214, 215, 216, 217, 220, 221, 223, 225, 227, 228, 229, 230, 231, 232, 233, 236, 237, 242, 245, 249, 250, 252, 256, 259, 261, 265, 267, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 284, 286, 289, 291, 292, 293, 294, 295, 297, 298, 300, 302, 303, 304, 306, 307, 309, 310, 311, 312, 313, 316, 323, 324, 325, 326, 327, 328, 329, 331, 333, 334, 335, 337, 340, 343, 347, 348, 349, 353, 354, 357, 358, 359, 360, 362, 363, 364, 368, 372, 373, 374, 375, 376, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 392, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 428, 429, 430, 431, 432, 437, 438, 439, 442, 445, 451, 452, 454, 455, 459, 462, 464, 466, 467, 468, 469, 470, 471, 473, 474, 475, 476, 477, 485, 487, 490, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 519, 520, 521, 522, 523, 524, 525, 526, 529, 532, 536, 539, 542, 546, 547, 561, 562, 566, 567, 568, 569, 570, 571, 574, 583, 585, 586, 587, 588, 589, 590, 591, 595, 597, 600, 602, 610, 614, 616, 617, 620, 621, 623, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 641, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 678, 679, 680, 681, 682, 688, 689, 691, 692, 693, 694, 695, 699, 700, 701, 703, 705, 706, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 723, 724, 730, 731, 732, 733, 734, 735, 736, 738, 740, 741, 750, 751, 753, 754, 755, 762, 763, 764, 772, 791, 793, 798, 856, 857, 858, 859, 860, 862, 864, 865, 866, 867, 868, 869, 871, 873, 876, 879, 880, 881, 886, 890, 892, 893, 894, 901, 902, 903, 904, 905, 907, 909, 910, 911, 912, 913, 914, 916, 917, 919, 925, 928, 929, 930, 933, 936, 937, 938, 939, 940, 941, 943, 945, 946, 947, 948, 949, 950, 952, 954, 956, 958, 961, 962, 963, 968, 972, 974, 975, 976, 979, 982, 983, 984, 985, 986, 987, 989, 991, 992, 993, 994, 995, 996, 998, 999, 1000, 1002, 1008, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1046, 1048, 1049, 1064, 1069, 1071, 1088, 1089, 1092, 1093, 1094, 1097, 1100, 1101, 1103, 1104, 1105, 1106, 1109, 1110, 1112, 1114, 1117, 1118, 1119, 1120, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1133, 1136, 1137, 1138, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1157, 1160, 1162, 1163, 1170, 1171, 1172, 1173, 1175, 1176, 1179, 1180, 1181, 1183, 1185, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1215, 1219, 1221, 1222, 1223, 1224, 1228, 1230, 1232, 1234, 1236, 1237, 1238, 1240, 1241, 1242, 1245, 1263, 1266, 1271, 1275, 1276, 1278, 1279, 1284, 1285, 1293, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1309, 1329, 1332, 1334, 1337, 1338, 1339, 1340, 1342, 1347, 1348, 1349, 1350, 1354, 1361, 1362, 1363, 1364, 1365, 1369, 1371, 1376, 1377, 1387, 1388, 1389, 1390, 1391, 1396, 1397, 1402, 1403, 1404, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1432, 1434, 1435, 1436], "implement": [5, 11, 14, 94, 95, 97, 100, 108, 110, 111, 113, 116, 133, 211, 216, 220, 221, 225, 230, 236, 250, 265, 278, 279, 281, 282, 283, 291, 294, 295, 306, 312, 316, 317, 327, 333, 340, 347, 348, 349, 354, 372, 381, 386, 389, 391, 392, 396, 412, 413, 414, 415, 416, 417, 419, 420, 421, 425, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 442, 454, 455, 457, 462, 471, 485, 490, 496, 498, 500, 501, 502, 510, 511, 512, 519, 521, 547, 561, 567, 588, 590, 683, 684, 685, 686, 688, 692, 694, 699, 700, 701, 706, 712, 713, 714, 715, 716, 717, 731, 733, 756, 762, 763, 764, 782, 788, 793, 1041, 1046, 1048, 1108, 1193, 1194, 1198, 1199, 1203, 1205, 1206, 1207, 1222, 1242, 1278, 1279, 1289, 1290, 1302, 1304, 1308, 1309, 1329, 1332, 1347, 1348, 1350, 1361, 1362, 1363, 1364, 1389, 1391, 1397, 1404, 1408, 1411, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1431, 1434], "simpli": [5, 55, 102, 103, 116, 159, 200, 233, 280, 387, 413, 427, 428, 432, 442, 523, 859, 889, 904, 927, 940, 971, 986, 1010, 1174, 1178, 1302, 1332, 1403, 1408, 1418], "return": [5, 7, 8, 11, 14, 17, 26, 31, 35, 37, 39, 46, 50, 56, 68, 69, 70, 72, 81, 85, 89, 94, 96, 102, 103, 104, 113, 116, 143, 144, 145, 147, 150, 161, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 179, 181, 182, 184, 185, 186, 187, 188, 189, 190, 192, 197, 199, 200, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 530, 533, 534, 536, 537, 540, 543, 544, 546, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 713, 714, 715, 716, 717, 718, 721, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 764, 798, 850, 851, 853, 854, 861, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 882, 887, 888, 889, 891, 892, 893, 895, 896, 898, 899, 906, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 926, 927, 928, 929, 931, 932, 934, 935, 936, 937, 942, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 964, 965, 969, 970, 971, 973, 974, 975, 977, 978, 980, 981, 982, 983, 988, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1009, 1010, 1011, 1012, 1022, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1048, 1049, 1050, 1051, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1130, 1131, 1132, 1133, 1134, 1140, 1141, 1142, 1143, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1309, 1310, 1311, 1313, 1314, 1315, 1316, 1317, 1318, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1329, 1332, 1337, 1338, 1339, 1341, 1342, 1343, 1344, 1348, 1349, 1351, 1352, 1353, 1354, 1355, 1357, 1358, 1359, 1362, 1363, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1380, 1381, 1383, 1384, 1385, 1402, 1403, 1404, 1408, 1410, 1411, 1413, 1414, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1432, 1434], "first": [5, 56, 66, 71, 78, 94, 95, 98, 100, 102, 103, 108, 110, 112, 142, 156, 165, 193, 208, 224, 228, 230, 231, 232, 233, 234, 271, 273, 276, 298, 312, 313, 325, 326, 333, 340, 347, 365, 366, 367, 375, 376, 382, 385, 386, 389, 391, 392, 394, 396, 401, 407, 408, 409, 421, 425, 442, 452, 456, 466, 493, 494, 514, 525, 595, 596, 597, 598, 599, 628, 629, 638, 642, 649, 655, 659, 662, 665, 666, 669, 673, 675, 679, 680, 682, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 730, 760, 762, 793, 883, 894, 922, 930, 956, 965, 976, 1000, 1005, 1013, 1014, 1057, 1125, 1133, 1150, 1166, 1169, 1179, 1192, 1195, 1209, 1210, 1211, 1213, 1214, 1221, 1224, 1231, 1239, 1240, 1247, 1278, 1302, 1326, 1327, 1329, 1332, 1335, 1387, 1388, 1396, 1402, 1404, 1412, 1415, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1434, 1436], "match": [5, 26, 35, 96, 222, 265, 278, 279, 280, 281, 282, 283, 442, 490, 492, 514, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 580, 581, 582, 583, 584, 585, 626, 673, 674, 675, 676, 692, 760, 762, 763, 777, 1046, 1150, 1171, 1179, 1181, 1183, 1214, 1223, 1228, 1278, 1302, 1313, 1315, 1318, 1331, 1369, 1370, 1404, 1415, 1416, 1418, 1420, 1421, 1423, 1426, 1433], "termin": [5, 11, 42, 98, 102, 112, 227, 412, 413, 414, 420, 421, 496, 500, 501, 504, 505, 508, 509, 512, 1046, 1423], "interest": [5, 93, 94, 97, 100, 101, 105, 106, 108, 292, 293, 425, 577, 579, 1223, 1436], "begin": [5, 98, 100, 227, 340, 385, 386, 452, 620, 621, 662, 663, 664, 719, 720, 762, 1045, 1127, 1141, 1191, 1201], "onli": [5, 10, 17, 27, 45, 56, 68, 89, 93, 94, 102, 103, 104, 105, 112, 116, 134, 142, 160, 161, 165, 166, 167, 168, 169, 176, 177, 181, 185, 186, 189, 190, 191, 201, 205, 208, 215, 216, 217, 221, 227, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 271, 283, 294, 295, 298, 299, 300, 301, 307, 311, 323, 328, 333, 339, 340, 341, 342, 344, 347, 348, 349, 352, 357, 376, 379, 389, 391, 392, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 410, 412, 413, 414, 420, 421, 428, 438, 442, 466, 467, 468, 469, 470, 471, 481, 482, 494, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 519, 521, 522, 523, 524, 529, 539, 547, 569, 574, 577, 579, 583, 586, 587, 589, 590, 598, 604, 607, 609, 610, 612, 613, 616, 617, 618, 619, 628, 634, 637, 638, 639, 640, 642, 643, 644, 645, 646, 648, 649, 650, 651, 654, 658, 660, 662, 663, 664, 669, 670, 671, 679, 680, 681, 692, 693, 694, 702, 705, 706, 719, 730, 732, 750, 751, 753, 754, 755, 756, 763, 788, 793, 798, 860, 861, 864, 865, 866, 867, 871, 872, 873, 875, 876, 879, 880, 881, 890, 893, 894, 905, 906, 909, 910, 911, 912, 916, 918, 919, 930, 933, 941, 942, 945, 946, 947, 948, 949, 950, 952, 953, 954, 957, 958, 961, 962, 963, 972, 975, 976, 979, 987, 988, 991, 992, 993, 994, 995, 996, 998, 1001, 1002, 1013, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1064, 1069, 1073, 1075, 1085, 1086, 1087, 1091, 1097, 1098, 1099, 1101, 1103, 1104, 1107, 1109, 1110, 1112, 1117, 1119, 1133, 1139, 1140, 1141, 1143, 1152, 1172, 1173, 1198, 1199, 1205, 1215, 1223, 1255, 1257, 1277, 1278, 1284, 1285, 1289, 1290, 1301, 1302, 1329, 1330, 1334, 1359, 1360, 1369, 1370, 1385, 1387, 1388, 1389, 1391, 1398, 1403, 1411, 1412, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1431, 1434, 1436], "those": [5, 9, 11, 14, 93, 94, 103, 112, 133, 166, 168, 186, 200, 203, 205, 208, 227, 233, 239, 244, 268, 298, 299, 307, 308, 316, 332, 358, 371, 391, 392, 424, 455, 567, 568, 627, 643, 645, 680, 689, 705, 706, 719, 741, 751, 864, 866, 876, 889, 892, 893, 894, 909, 911, 919, 927, 928, 929, 930, 945, 947, 949, 958, 971, 974, 975, 976, 991, 993, 995, 1002, 1010, 1011, 1012, 1013, 1041, 1045, 1064, 1088, 1101, 1104, 1156, 1158, 1160, 1163, 1223, 1332, 1339, 1343, 1344, 1382, 1395, 1397, 1403, 1413], "weakli": [5, 400, 406, 409, 416, 793, 1191, 1283, 1415], "connect": [5, 6, 7, 17, 26, 28, 51, 56, 58, 59, 66, 70, 72, 81, 84, 85, 89, 115, 116, 133, 142, 143, 144, 212, 213, 214, 215, 216, 217, 218, 221, 224, 230, 233, 237, 240, 241, 242, 245, 249, 250, 256, 259, 260, 262, 263, 270, 271, 272, 274, 277, 285, 286, 287, 288, 289, 294, 295, 300, 301, 305, 306, 312, 313, 315, 318, 319, 320, 322, 323, 325, 326, 329, 330, 331, 333, 334, 335, 340, 341, 343, 359, 360, 373, 374, 382, 384, 389, 390, 392, 393, 394, 397, 399, 400, 401, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 432, 433, 472, 481, 485, 492, 493, 494, 498, 502, 503, 506, 507, 510, 514, 521, 522, 523, 569, 590, 595, 617, 620, 621, 635, 654, 660, 665, 683, 684, 685, 690, 693, 694, 695, 696, 699, 701, 729, 734, 736, 737, 738, 739, 745, 752, 753, 755, 759, 760, 788, 793, 798, 851, 896, 932, 978, 1040, 1042, 1043, 1057, 1074, 1076, 1152, 1154, 1156, 1158, 1162, 1163, 1165, 1166, 1168, 1169, 1171, 1173, 1174, 1175, 1176, 1178, 1180, 1185, 1186, 1191, 1192, 1194, 1199, 1201, 1203, 1204, 1205, 1206, 1207, 1209, 1211, 1217, 1219, 1229, 1231, 1233, 1239, 1247, 1248, 1259, 1260, 1263, 1265, 1281, 1282, 1283, 1291, 1297, 1329, 1331, 1387, 1388, 1402, 1404, 1408, 1410, 1412, 1415, 1416, 1417, 1420, 1423, 1426, 1434, 1436], "compon": [5, 6, 7, 17, 26, 28, 36, 51, 70, 72, 80, 81, 85, 86, 87, 89, 102, 115, 143, 165, 221, 250, 259, 294, 295, 300, 323, 340, 341, 389, 390, 391, 392, 393, 394, 395, 396, 401, 402, 403, 404, 405, 406, 407, 408, 409, 424, 425, 426, 427, 429, 430, 493, 502, 521, 590, 620, 621, 635, 654, 660, 665, 705, 706, 712, 713, 714, 715, 716, 717, 736, 738, 760, 1048, 1185, 1199, 1222, 1282, 1283, 1291, 1297, 1331, 1387, 1404, 1411, 1415, 1417, 1420, 1421, 1422, 1423, 1426, 1429, 1434], "function": [5, 6, 7, 8, 11, 14, 26, 31, 45, 51, 53, 57, 89, 94, 95, 96, 97, 102, 103, 104, 105, 108, 110, 111, 112, 113, 120, 122, 126, 130, 131, 134, 138, 139, 211, 214, 215, 216, 217, 218, 230, 231, 232, 233, 236, 245, 256, 261, 262, 263, 265, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 284, 286, 294, 295, 296, 300, 311, 316, 327, 329, 347, 348, 349, 353, 357, 364, 368, 376, 385, 386, 392, 398, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 426, 427, 428, 429, 430, 442, 459, 460, 462, 466, 467, 470, 472, 473, 474, 475, 476, 477, 485, 490, 493, 494, 496, 497, 499, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 513, 514, 521, 522, 523, 527, 532, 536, 537, 542, 546, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 570, 574, 579, 583, 587, 588, 589, 590, 593, 594, 595, 620, 621, 623, 628, 629, 633, 634, 635, 637, 638, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 678, 680, 681, 682, 688, 693, 694, 700, 701, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 719, 720, 723, 729, 730, 731, 732, 733, 740, 753, 754, 755, 756, 759, 760, 761, 764, 768, 771, 772, 779, 780, 782, 784, 786, 787, 791, 793, 794, 796, 797, 798, 961, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1048, 1049, 1050, 1064, 1069, 1091, 1092, 1093, 1101, 1103, 1104, 1105, 1106, 1111, 1114, 1115, 1120, 1128, 1129, 1136, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1157, 1160, 1181, 1183, 1188, 1199, 1202, 1203, 1204, 1205, 1215, 1222, 1228, 1230, 1234, 1236, 1238, 1241, 1276, 1279, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1309, 1325, 1326, 1327, 1329, 1331, 1332, 1333, 1334, 1336, 1339, 1343, 1344, 1349, 1353, 1360, 1364, 1369, 1370, 1377, 1388, 1395, 1398, 1402, 1405, 1406, 1407, 1408, 1409, 1410, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "real": [5, 53, 100, 105, 218, 281, 284, 327, 424, 705, 1104, 1212, 1275, 1289, 1290, 1395, 1436], "number": [5, 7, 9, 11, 26, 29, 39, 58, 64, 66, 70, 71, 89, 92, 94, 95, 98, 100, 104, 107, 112, 113, 115, 123, 148, 152, 157, 159, 167, 172, 176, 186, 187, 188, 189, 199, 209, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 223, 224, 225, 227, 228, 231, 232, 235, 236, 258, 259, 260, 261, 264, 272, 273, 275, 276, 286, 289, 291, 294, 295, 297, 298, 299, 300, 301, 302, 303, 305, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 322, 323, 325, 326, 328, 330, 331, 332, 339, 340, 347, 348, 349, 350, 351, 354, 356, 357, 358, 359, 360, 361, 362, 363, 370, 372, 373, 374, 375, 376, 379, 380, 382, 383, 385, 387, 388, 389, 392, 396, 403, 404, 405, 406, 412, 413, 414, 415, 417, 419, 420, 421, 424, 434, 435, 436, 437, 438, 440, 443, 444, 445, 446, 447, 448, 449, 450, 473, 474, 475, 476, 477, 481, 482, 492, 498, 499, 503, 506, 507, 510, 513, 514, 519, 522, 523, 526, 551, 552, 566, 568, 570, 571, 579, 583, 585, 590, 591, 593, 594, 595, 597, 610, 620, 621, 623, 627, 628, 629, 634, 635, 637, 638, 642, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 675, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 688, 690, 692, 694, 695, 696, 699, 703, 705, 724, 731, 733, 734, 740, 749, 750, 751, 753, 755, 763, 782, 788, 798, 854, 855, 857, 859, 865, 869, 871, 876, 877, 878, 879, 888, 899, 900, 902, 904, 910, 914, 919, 920, 921, 926, 935, 936, 938, 940, 946, 950, 952, 956, 958, 959, 960, 961, 970, 981, 982, 984, 986, 992, 996, 1000, 1002, 1003, 1004, 1009, 1040, 1042, 1043, 1045, 1046, 1050, 1063, 1071, 1081, 1082, 1083, 1101, 1104, 1105, 1106, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1149, 1150, 1152, 1154, 1157, 1161, 1168, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1218, 1219, 1220, 1221, 1225, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1256, 1266, 1273, 1275, 1276, 1277, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1292, 1293, 1294, 1297, 1300, 1301, 1302, 1303, 1305, 1307, 1310, 1311, 1317, 1325, 1329, 1332, 1334, 1401, 1402, 1404, 1412, 1413, 1414, 1415, 1418, 1420, 1422, 1423, 1425, 1436], "indic": [5, 26, 53, 66, 94, 100, 103, 209, 214, 218, 223, 224, 228, 231, 232, 233, 252, 259, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 297, 298, 300, 307, 317, 321, 323, 333, 340, 370, 375, 379, 380, 382, 383, 452, 491, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 519, 591, 595, 627, 628, 629, 649, 650, 651, 654, 655, 656, 657, 658, 659, 660, 662, 663, 664, 669, 670, 671, 672, 683, 684, 685, 686, 688, 692, 694, 695, 696, 703, 705, 713, 719, 720, 724, 736, 738, 740, 741, 749, 1041, 1048, 1084, 1101, 1104, 1157, 1160, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1216, 1217, 1218, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1257, 1273, 1275, 1279, 1281, 1282, 1283, 1302, 1305, 1307, 1325, 1334, 1339, 1343, 1344, 1345, 1346, 1351, 1354, 1355, 1356, 1363, 1387, 1388, 1402, 1403, 1412, 1418, 1423], "how": [5, 9, 16, 39, 41, 42, 55, 56, 57, 58, 59, 62, 66, 75, 76, 78, 93, 94, 97, 101, 102, 103, 104, 105, 106, 108, 110, 111, 231, 232, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 317, 359, 413, 414, 418, 419, 420, 421, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 677, 684, 693, 705, 751, 763, 936, 982, 1041, 1105, 1106, 1147, 1302, 1306, 1332, 1334, 1390, 1407, 1408, 1411, 1413, 1415, 1416, 1417, 1420, 1421, 1436], "good": [5, 93, 94, 98, 100, 102, 106, 111, 221, 677, 689, 691, 705, 1332, 1422], "potenti": [5, 94, 102, 103, 104, 245, 388, 555, 567, 627, 731, 733, 1302, 1423], "neighbor": [5, 55, 58, 89, 117, 160, 161, 165, 170, 183, 191, 198, 201, 202, 214, 231, 232, 240, 241, 262, 263, 282, 283, 286, 287, 288, 289, 290, 296, 312, 313, 315, 319, 320, 325, 326, 339, 360, 363, 365, 366, 367, 372, 380, 382, 421, 438, 479, 480, 482, 489, 513, 514, 524, 525, 526, 569, 570, 571, 572, 573, 574, 575, 576, 590, 617, 678, 689, 690, 691, 692, 705, 706, 708, 709, 710, 760, 851, 860, 861, 881, 890, 891, 896, 905, 906, 932, 933, 941, 942, 948, 962, 963, 972, 973, 978, 979, 987, 988, 994, 1041, 1058, 1059, 1080, 1094, 1194, 1195, 1213, 1216, 1217, 1231, 1239, 1240, 1245, 1247, 1277, 1332, 1402, 1407, 1408, 1413, 1415, 1416, 1421, 1422, 1425, 1434], "when": [5, 10, 11, 25, 35, 40, 44, 53, 71, 89, 93, 94, 95, 96, 100, 101, 102, 103, 104, 107, 108, 110, 113, 133, 142, 153, 158, 159, 169, 181, 185, 190, 196, 208, 221, 231, 232, 250, 257, 268, 269, 278, 279, 281, 282, 296, 298, 299, 306, 312, 317, 323, 325, 326, 327, 331, 345, 347, 362, 375, 376, 380, 400, 412, 413, 414, 420, 421, 424, 429, 442, 445, 451, 452, 469, 487, 488, 489, 496, 500, 501, 504, 505, 508, 509, 512, 514, 527, 537, 554, 555, 556, 563, 564, 565, 569, 588, 590, 595, 610, 618, 621, 630, 631, 632, 654, 658, 678, 683, 685, 690, 692, 697, 705, 713, 719, 720, 723, 724, 729, 736, 737, 738, 739, 753, 755, 762, 763, 793, 798, 856, 858, 859, 867, 873, 875, 880, 886, 894, 901, 903, 904, 912, 916, 918, 925, 930, 933, 937, 939, 940, 948, 954, 957, 962, 965, 966, 968, 976, 979, 983, 985, 986, 994, 998, 1001, 1005, 1006, 1008, 1013, 1014, 1040, 1041, 1042, 1043, 1046, 1048, 1069, 1094, 1103, 1105, 1106, 1108, 1118, 1127, 1128, 1129, 1136, 1141, 1144, 1160, 1171, 1191, 1199, 1202, 1203, 1204, 1211, 1223, 1235, 1236, 1242, 1245, 1286, 1293, 1294, 1302, 1306, 1330, 1332, 1334, 1337, 1340, 1343, 1344, 1345, 1346, 1355, 1362, 1363, 1365, 1387, 1388, 1402, 1406, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1428, 1429, 1431, 1432, 1433, 1434, 1436], "decid": [5, 93, 97, 100, 101, 103, 108, 224, 295, 441, 700, 701, 703, 1199, 1332], "which": [5, 39, 44, 46, 53, 56, 59, 64, 66, 84, 89, 94, 95, 101, 102, 103, 104, 105, 106, 108, 113, 115, 116, 117, 129, 145, 162, 169, 185, 190, 200, 203, 205, 207, 211, 213, 215, 216, 218, 221, 225, 226, 227, 230, 231, 232, 241, 247, 248, 249, 250, 258, 260, 262, 263, 265, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 281, 282, 283, 290, 291, 302, 303, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 325, 326, 332, 333, 340, 341, 347, 348, 349, 350, 351, 354, 355, 364, 375, 379, 380, 382, 385, 393, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 429, 436, 439, 442, 451, 452, 453, 456, 462, 464, 466, 467, 485, 487, 488, 489, 491, 493, 496, 498, 499, 500, 501, 502, 503, 506, 507, 510, 511, 512, 521, 523, 561, 562, 570, 574, 576, 579, 580, 581, 582, 583, 584, 585, 588, 590, 600, 603, 610, 617, 639, 640, 643, 645, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 672, 677, 678, 679, 680, 681, 683, 689, 690, 694, 699, 702, 705, 707, 713, 719, 720, 721, 722, 730, 731, 732, 734, 735, 741, 751, 754, 762, 764, 788, 791, 793, 798, 851, 867, 875, 880, 889, 892, 893, 896, 912, 918, 927, 928, 929, 932, 948, 957, 962, 971, 974, 975, 978, 994, 1001, 1010, 1011, 1012, 1039, 1040, 1042, 1043, 1044, 1045, 1069, 1074, 1084, 1091, 1103, 1105, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1121, 1127, 1128, 1131, 1132, 1141, 1143, 1155, 1157, 1170, 1171, 1172, 1173, 1181, 1183, 1200, 1202, 1203, 1204, 1212, 1213, 1215, 1216, 1218, 1221, 1223, 1228, 1235, 1236, 1241, 1273, 1275, 1276, 1278, 1287, 1301, 1302, 1303, 1306, 1329, 1331, 1332, 1334, 1343, 1344, 1345, 1346, 1350, 1351, 1356, 1360, 1367, 1368, 1387, 1388, 1389, 1391, 1402, 1403, 1404, 1407, 1408, 1411, 1412, 1413, 1415, 1416, 1417, 1418, 1421, 1422, 1423, 1425, 1426, 1434, 1436], "enqueu": [5, 705], "breadth": [5, 365, 366, 642, 705, 706, 707, 708, 709, 710, 719, 730, 760, 1326, 1327, 1332, 1415], "best": [5, 93, 98, 100, 106, 218, 223, 228, 230, 231, 232, 382, 673, 675, 682, 705, 798, 1040, 1042, 1043, 1288, 1387, 1388, 1413, 1414], "within": [5, 54, 58, 71, 87, 93, 94, 100, 104, 106, 108, 227, 297, 312, 325, 326, 428, 469, 478, 514, 558, 559, 560, 566, 568, 576, 587, 589, 590, 595, 672, 679, 680, 788, 1045, 1046, 1127, 1129, 1171, 1174, 1175, 1195, 1200, 1201, 1203, 1204, 1243, 1244, 1302, 1405, 1414, 1420, 1423], "current": [5, 94, 102, 103, 104, 106, 112, 223, 231, 232, 250, 297, 302, 303, 304, 309, 310, 324, 347, 348, 349, 364, 429, 462, 536, 546, 673, 675, 692, 700, 701, 705, 760, 763, 788, 798, 1040, 1042, 1043, 1100, 1109, 1110, 1112, 1117, 1119, 1275, 1279, 1309, 1403, 1408, 1410, 1415, 1416, 1422, 1423, 1433, 1434], "each": [5, 8, 11, 26, 27, 28, 29, 35, 39, 45, 46, 50, 53, 55, 56, 66, 68, 81, 89, 93, 94, 95, 100, 103, 105, 106, 110, 113, 116, 117, 153, 159, 160, 167, 168, 176, 185, 189, 191, 194, 199, 201, 203, 211, 213, 214, 215, 216, 220, 221, 224, 226, 227, 231, 233, 236, 239, 240, 241, 242, 243, 244, 245, 247, 248, 252, 253, 257, 259, 265, 271, 276, 278, 279, 281, 282, 283, 290, 297, 298, 299, 300, 302, 303, 306, 309, 310, 311, 312, 315, 316, 321, 323, 325, 327, 329, 332, 333, 334, 335, 336, 339, 340, 341, 343, 346, 347, 348, 349, 350, 351, 354, 355, 356, 357, 358, 359, 360, 362, 363, 364, 365, 366, 367, 368, 372, 373, 374, 375, 376, 378, 380, 381, 382, 383, 384, 385, 386, 388, 390, 391, 392, 393, 394, 401, 407, 408, 409, 413, 414, 424, 427, 428, 429, 430, 432, 433, 434, 439, 440, 442, 445, 451, 452, 453, 454, 455, 462, 464, 466, 467, 472, 478, 482, 483, 484, 489, 490, 493, 494, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 520, 522, 523, 532, 542, 551, 552, 554, 555, 556, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 580, 581, 582, 585, 587, 588, 589, 590, 593, 594, 595, 611, 616, 617, 618, 624, 625, 626, 627, 635, 637, 643, 645, 649, 658, 661, 669, 672, 678, 680, 681, 690, 691, 693, 694, 699, 702, 703, 705, 719, 720, 721, 723, 724, 730, 732, 734, 736, 737, 738, 739, 740, 741, 744, 745, 750, 752, 753, 755, 762, 791, 793, 798, 856, 859, 860, 865, 866, 871, 875, 879, 881, 884, 888, 890, 892, 901, 904, 905, 910, 911, 918, 923, 926, 928, 937, 940, 941, 946, 947, 948, 949, 952, 953, 957, 961, 962, 963, 966, 970, 972, 974, 982, 983, 986, 987, 992, 993, 994, 995, 1001, 1006, 1009, 1011, 1040, 1041, 1042, 1043, 1045, 1062, 1064, 1074, 1087, 1088, 1089, 1090, 1097, 1101, 1102, 1103, 1105, 1106, 1114, 1115, 1117, 1119, 1127, 1128, 1129, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1151, 1155, 1157, 1162, 1168, 1171, 1173, 1174, 1175, 1177, 1178, 1180, 1181, 1183, 1184, 1186, 1191, 1194, 1196, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1212, 1213, 1215, 1216, 1217, 1218, 1219, 1221, 1223, 1228, 1229, 1230, 1231, 1233, 1234, 1236, 1238, 1239, 1240, 1241, 1242, 1245, 1246, 1247, 1248, 1251, 1263, 1268, 1273, 1276, 1278, 1280, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1302, 1303, 1332, 1334, 1362, 1363, 1387, 1388, 1403, 1404, 1415, 1416, 1418, 1422, 1423, 1434, 1436], "step": [5, 98, 102, 103, 105, 108, 233, 353, 368, 376, 382, 383, 442, 514, 734, 1045, 1046, 1171, 1179, 1191, 1201, 1240, 1275, 1302], "take": [5, 11, 35, 39, 93, 95, 101, 102, 104, 108, 110, 153, 158, 208, 231, 232, 233, 265, 301, 306, 340, 357, 376, 425, 442, 450, 466, 467, 583, 588, 590, 600, 608, 610, 620, 628, 629, 631, 656, 693, 705, 706, 708, 709, 710, 723, 724, 750, 754, 762, 763, 782, 793, 856, 858, 894, 901, 903, 930, 937, 939, 976, 983, 985, 1013, 1039, 1091, 1170, 1180, 1203, 1257, 1263, 1276, 1302, 1326, 1327, 1332, 1369, 1370, 1402, 1403, 1406, 1407, 1408, 1411, 1415, 1418, 1419, 1420], "input": [5, 17, 92, 95, 100, 103, 104, 110, 113, 116, 198, 208, 221, 227, 231, 232, 233, 239, 244, 256, 257, 258, 259, 260, 264, 265, 267, 278, 279, 282, 283, 285, 286, 287, 288, 289, 309, 333, 341, 342, 344, 346, 355, 356, 376, 389, 390, 391, 392, 395, 396, 398, 403, 413, 414, 424, 425, 426, 427, 428, 429, 430, 432, 442, 456, 468, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 523, 557, 566, 568, 595, 611, 616, 617, 634, 637, 638, 661, 673, 674, 675, 676, 682, 694, 697, 705, 706, 708, 709, 710, 729, 741, 791, 798, 852, 894, 897, 930, 933, 976, 979, 1013, 1022, 1024, 1025, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1046, 1086, 1091, 1127, 1185, 1199, 1203, 1205, 1213, 1214, 1275, 1302, 1310, 1311, 1323, 1324, 1338, 1342, 1354, 1355, 1368, 1376, 1387, 1388, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1431, 1434], "boolean": [5, 337, 422, 423, 424, 456, 478, 504, 505, 508, 509, 523, 586, 587, 588, 589, 590, 683, 685, 742, 743, 744, 745, 748, 1073, 1075, 1101, 1104, 1174, 1176, 1179, 1214, 1276, 1364, 1387, 1388, 1416], "whether": [5, 59, 95, 97, 100, 103, 111, 146, 149, 181, 233, 236, 239, 244, 250, 251, 295, 315, 329, 345, 441, 456, 482, 491, 493, 522, 523, 524, 547, 564, 580, 581, 582, 619, 624, 625, 642, 654, 665, 681, 700, 701, 702, 730, 736, 738, 748, 762, 873, 916, 954, 998, 1074, 1105, 1127, 1129, 1141, 1174, 1176, 1179, 1199, 1214, 1215, 1217, 1218, 1219, 1281, 1282, 1283, 1284, 1302, 1332, 1334, 1395, 1402, 1403, 1413, 1434, 1436], "If": [5, 8, 35, 66, 89, 92, 93, 94, 95, 96, 98, 100, 101, 102, 105, 107, 112, 116, 133, 142, 145, 146, 149, 154, 155, 166, 167, 169, 176, 177, 181, 182, 185, 186, 189, 190, 192, 193, 195, 196, 197, 199, 202, 203, 204, 205, 206, 208, 209, 210, 211, 212, 213, 215, 216, 217, 218, 220, 221, 223, 224, 225, 228, 229, 230, 231, 232, 233, 236, 239, 240, 241, 242, 243, 244, 245, 248, 250, 251, 252, 253, 257, 259, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 276, 277, 278, 279, 281, 282, 283, 284, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 340, 341, 342, 344, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 363, 364, 373, 374, 375, 376, 377, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 432, 435, 437, 438, 442, 444, 445, 446, 447, 449, 450, 452, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 483, 484, 490, 491, 492, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 521, 522, 523, 527, 529, 532, 537, 539, 542, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 561, 562, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 583, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 603, 604, 607, 608, 609, 610, 612, 613, 615, 616, 617, 618, 626, 627, 628, 629, 631, 633, 634, 635, 637, 638, 641, 642, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 682, 683, 685, 687, 688, 689, 690, 691, 693, 694, 695, 696, 697, 699, 706, 710, 712, 713, 714, 715, 716, 717, 719, 720, 723, 724, 725, 726, 727, 728, 730, 732, 733, 735, 736, 737, 738, 739, 740, 741, 744, 745, 751, 753, 754, 755, 764, 782, 798, 852, 864, 865, 867, 871, 872, 873, 874, 875, 876, 879, 880, 882, 883, 885, 886, 887, 888, 891, 892, 893, 894, 897, 909, 910, 912, 916, 917, 918, 919, 922, 924, 925, 926, 928, 929, 930, 933, 945, 946, 948, 949, 950, 952, 953, 954, 955, 956, 957, 958, 961, 962, 964, 965, 967, 968, 969, 970, 973, 974, 975, 976, 979, 991, 992, 994, 995, 996, 998, 999, 1000, 1001, 1002, 1005, 1007, 1008, 1009, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1048, 1058, 1059, 1061, 1064, 1069, 1073, 1075, 1084, 1085, 1087, 1088, 1089, 1090, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1123, 1125, 1127, 1128, 1129, 1132, 1133, 1136, 1139, 1141, 1142, 1143, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1171, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1195, 1196, 1197, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1213, 1216, 1217, 1218, 1219, 1221, 1222, 1223, 1226, 1228, 1229, 1230, 1233, 1234, 1235, 1236, 1237, 1238, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1307, 1309, 1310, 1311, 1317, 1325, 1326, 1327, 1332, 1334, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1376, 1377, 1378, 1383, 1384, 1385, 1386, 1387, 1388, 1402, 1403, 1411, 1413, 1416, 1434, 1436], "rais": [5, 11, 85, 89, 101, 102, 103, 104, 116, 153, 154, 155, 158, 159, 162, 181, 182, 192, 193, 195, 196, 202, 208, 210, 211, 212, 213, 218, 221, 225, 228, 230, 231, 232, 233, 240, 241, 252, 256, 257, 278, 279, 281, 282, 289, 290, 294, 295, 296, 301, 309, 312, 313, 314, 316, 317, 318, 319, 320, 322, 325, 326, 327, 330, 332, 333, 334, 335, 340, 341, 342, 344, 345, 348, 349, 363, 364, 373, 374, 379, 381, 384, 385, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 416, 420, 421, 424, 426, 427, 428, 429, 431, 434, 435, 436, 437, 438, 439, 440, 452, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 468, 469, 470, 471, 472, 483, 484, 490, 491, 492, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 566, 568, 577, 580, 586, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 602, 603, 604, 606, 607, 608, 609, 610, 612, 613, 615, 628, 629, 631, 634, 635, 637, 638, 641, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 682, 683, 685, 688, 694, 695, 696, 726, 728, 729, 733, 734, 735, 736, 737, 738, 739, 744, 745, 751, 754, 755, 856, 858, 859, 873, 874, 882, 883, 885, 886, 891, 894, 901, 903, 904, 916, 917, 922, 924, 925, 930, 933, 937, 939, 940, 954, 955, 964, 965, 967, 968, 973, 976, 979, 983, 985, 986, 998, 999, 1005, 1007, 1008, 1013, 1042, 1043, 1046, 1059, 1073, 1075, 1084, 1105, 1110, 1113, 1117, 1119, 1120, 1144, 1171, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1186, 1187, 1191, 1193, 1196, 1197, 1198, 1212, 1213, 1216, 1222, 1228, 1229, 1231, 1233, 1235, 1240, 1242, 1243, 1244, 1245, 1275, 1279, 1280, 1281, 1282, 1283, 1301, 1302, 1304, 1308, 1309, 1317, 1325, 1349, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1365, 1367, 1368, 1369, 1371, 1383, 1384, 1385, 1386, 1402, 1403, 1406, 1410, 1413, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1432, 1434], "exc": [5, 950, 996], "nodenotfound": [5, 294, 295, 316, 317, 319, 320, 332, 340, 456, 637, 638, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 667, 668, 669, 670, 671, 1046, 1331, 1416], "default": [5, 26, 42, 44, 55, 75, 78, 89, 94, 95, 96, 97, 99, 102, 106, 112, 133, 152, 158, 159, 160, 166, 167, 169, 171, 176, 177, 181, 185, 186, 189, 190, 191, 197, 199, 201, 205, 209, 214, 215, 216, 217, 218, 221, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 259, 261, 262, 263, 268, 269, 271, 272, 273, 275, 276, 281, 283, 284, 286, 287, 288, 289, 290, 291, 292, 296, 297, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 339, 348, 349, 352, 353, 354, 355, 357, 358, 359, 360, 362, 370, 375, 379, 380, 382, 383, 385, 386, 387, 393, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 431, 442, 452, 466, 469, 475, 478, 485, 491, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 521, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 583, 585, 586, 587, 589, 590, 591, 595, 600, 603, 617, 623, 626, 627, 630, 631, 632, 634, 635, 637, 638, 642, 647, 648, 652, 653, 667, 668, 672, 673, 674, 675, 676, 677, 682, 683, 684, 685, 686, 688, 692, 693, 694, 695, 696, 697, 703, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 724, 725, 726, 727, 728, 735, 736, 737, 738, 739, 740, 749, 764, 782, 798, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 852, 855, 858, 859, 860, 864, 865, 867, 868, 871, 872, 873, 875, 876, 879, 880, 881, 887, 888, 890, 893, 897, 900, 903, 904, 905, 909, 910, 912, 913, 916, 918, 919, 926, 929, 933, 936, 937, 939, 940, 941, 945, 946, 948, 949, 950, 952, 953, 954, 957, 961, 962, 965, 969, 970, 972, 975, 979, 982, 983, 985, 986, 991, 992, 994, 995, 996, 998, 1001, 1005, 1009, 1040, 1042, 1043, 1045, 1055, 1056, 1057, 1060, 1087, 1088, 1089, 1092, 1093, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1127, 1128, 1129, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1146, 1148, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1216, 1217, 1219, 1221, 1223, 1225, 1226, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1277, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1306, 1310, 1311, 1325, 1332, 1334, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1362, 1363, 1365, 1366, 1369, 1370, 1371, 1372, 1376, 1377, 1387, 1388, 1402, 1403, 1404, 1405, 1407, 1408, 1410, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1436], "one": [5, 8, 17, 44, 58, 70, 72, 78, 93, 94, 95, 100, 101, 102, 103, 105, 106, 108, 110, 112, 113, 116, 117, 133, 145, 153, 157, 159, 166, 168, 181, 205, 209, 213, 215, 220, 221, 223, 224, 228, 231, 232, 236, 240, 241, 250, 251, 253, 254, 256, 257, 258, 259, 260, 261, 265, 271, 272, 278, 279, 281, 282, 283, 285, 287, 288, 289, 290, 298, 299, 300, 301, 311, 315, 316, 325, 326, 329, 332, 342, 344, 347, 358, 362, 363, 364, 365, 366, 367, 368, 372, 378, 379, 380, 382, 383, 384, 385, 386, 387, 389, 390, 391, 392, 393, 394, 396, 398, 401, 407, 408, 409, 414, 429, 433, 441, 442, 444, 445, 446, 447, 449, 450, 457, 459, 460, 462, 464, 466, 470, 473, 474, 475, 476, 477, 482, 485, 486, 493, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 561, 562, 567, 568, 570, 574, 576, 579, 580, 582, 586, 590, 592, 604, 608, 617, 620, 621, 628, 629, 637, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 681, 690, 691, 693, 702, 703, 713, 730, 732, 737, 739, 750, 755, 763, 764, 788, 791, 793, 798, 856, 857, 859, 864, 866, 873, 893, 901, 902, 904, 909, 911, 916, 937, 938, 940, 945, 947, 949, 954, 975, 983, 984, 986, 991, 993, 995, 998, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1054, 1062, 1074, 1088, 1091, 1103, 1105, 1106, 1109, 1115, 1118, 1139, 1141, 1143, 1149, 1150, 1153, 1154, 1157, 1160, 1166, 1167, 1171, 1180, 1181, 1186, 1188, 1189, 1190, 1191, 1192, 1194, 1201, 1213, 1216, 1221, 1235, 1240, 1241, 1242, 1243, 1244, 1246, 1251, 1254, 1259, 1267, 1268, 1269, 1275, 1278, 1280, 1281, 1282, 1283, 1289, 1290, 1303, 1304, 1316, 1332, 1334, 1387, 1388, 1398, 1403, 1404, 1412, 1413, 1415, 1416, 1420, 1422, 1426], "restart": 5, "twice": [5, 153, 159, 236, 247, 248, 447, 454, 455, 655, 856, 859, 901, 904, 937, 940, 983, 986, 1329, 1436], "larg": [5, 8, 11, 31, 106, 111, 113, 211, 225, 230, 261, 262, 263, 276, 290, 291, 298, 380, 382, 383, 385, 387, 425, 428, 557, 672, 677, 679, 680, 693, 751, 764, 784, 788, 1062, 1127, 1128, 1129, 1149, 1150, 1171, 1209, 1236, 1332, 1353, 1398, 1402, 1404, 1415, 1417, 1422, 1436], "so": [5, 10, 11, 22, 33, 50, 56, 62, 68, 89, 93, 95, 98, 100, 102, 103, 104, 110, 113, 116, 122, 134, 160, 166, 191, 201, 221, 232, 234, 265, 295, 298, 299, 307, 308, 319, 320, 327, 348, 349, 375, 376, 382, 385, 413, 414, 418, 419, 422, 423, 424, 429, 442, 452, 455, 462, 464, 466, 496, 498, 500, 501, 511, 512, 586, 587, 588, 589, 602, 616, 628, 634, 643, 645, 655, 656, 657, 662, 663, 664, 669, 670, 671, 681, 690, 692, 694, 706, 719, 730, 731, 732, 733, 750, 762, 782, 793, 860, 864, 881, 890, 905, 909, 941, 945, 963, 972, 987, 991, 1041, 1045, 1048, 1049, 1050, 1063, 1064, 1085, 1105, 1106, 1115, 1127, 1136, 1139, 1141, 1143, 1148, 1161, 1166, 1180, 1181, 1182, 1185, 1202, 1203, 1204, 1219, 1221, 1223, 1224, 1278, 1284, 1285, 1288, 1302, 1317, 1330, 1332, 1334, 1403, 1404, 1413, 1415, 1416, 1417, 1418, 1419, 1421, 1422, 1425, 1426, 1432, 1434, 1436], "exponenti": [5, 8, 122, 228, 335, 347, 348, 349, 350, 351, 374, 521, 621, 763, 1199, 1203, 1204], "after": [5, 11, 26, 94, 95, 96, 100, 101, 104, 133, 165, 181, 312, 323, 325, 327, 364, 380, 385, 393, 420, 421, 437, 496, 500, 501, 511, 512, 513, 532, 542, 566, 568, 600, 617, 673, 675, 694, 695, 696, 762, 873, 916, 954, 998, 1041, 1048, 1088, 1089, 1120, 1225, 1240, 1256, 1275, 1302, 1332, 1360, 1411, 1412, 1416, 1421, 1422, 1423, 1434, 1436], "exce": [5, 384, 412, 413, 414, 420, 421, 496, 500, 501, 512, 568, 695, 696, 1046, 1214, 1215], "check": [5, 81, 94, 98, 102, 116, 134, 162, 181, 205, 214, 250, 251, 256, 283, 300, 312, 325, 345, 441, 486, 493, 499, 551, 552, 553, 563, 564, 565, 566, 568, 588, 602, 617, 618, 619, 678, 680, 694, 700, 762, 764, 798, 873, 893, 916, 954, 975, 998, 1040, 1042, 1043, 1156, 1158, 1163, 1165, 1166, 1169, 1214, 1215, 1243, 1244, 1302, 1313, 1315, 1318, 1332, 1350, 1408, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1430, 1434, 1436], "special": [5, 100, 102, 103, 111, 231, 232, 392, 426, 429, 620, 621, 1041, 1251, 1267, 1278, 1415, 1417, 1422, 1426, 1436], "case": [5, 8, 11, 46, 55, 58, 93, 95, 96, 100, 104, 105, 108, 117, 200, 208, 211, 212, 213, 218, 222, 229, 232, 236, 253, 254, 256, 259, 260, 265, 284, 294, 295, 302, 303, 309, 310, 317, 339, 340, 347, 348, 349, 382, 392, 424, 425, 426, 429, 431, 438, 442, 445, 452, 455, 460, 496, 500, 501, 503, 512, 515, 517, 518, 519, 520, 576, 577, 620, 621, 623, 635, 654, 659, 660, 665, 690, 719, 720, 721, 724, 762, 763, 889, 894, 927, 930, 933, 971, 976, 979, 1010, 1013, 1041, 1042, 1043, 1064, 1085, 1088, 1103, 1104, 1105, 1107, 1123, 1132, 1141, 1143, 1160, 1171, 1179, 1185, 1213, 1222, 1223, 1229, 1233, 1251, 1267, 1301, 1302, 1306, 1387, 1403, 1404, 1407, 1408, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1426, 1432, 1434], "satisfi": [5, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 1168, 1199, 1205, 1214, 1215, 1229, 1233, 1235, 1240, 1317, 1334, 1357], "largest": [5, 6, 7, 13, 31, 32, 51, 84, 85, 113, 122, 149, 210, 211, 212, 213, 225, 312, 313, 325, 326, 342, 348, 349, 350, 355, 385, 386, 392, 394, 401, 407, 408, 409, 434, 435, 579, 697, 763, 1115, 1197], "possibl": [5, 13, 53, 71, 89, 93, 94, 100, 101, 102, 104, 105, 106, 108, 111, 112, 116, 207, 212, 214, 227, 235, 244, 257, 258, 259, 260, 265, 272, 276, 278, 279, 282, 289, 305, 316, 322, 323, 330, 332, 358, 360, 361, 364, 382, 385, 388, 424, 466, 467, 498, 510, 563, 577, 591, 617, 637, 678, 680, 695, 736, 740, 746, 747, 751, 752, 762, 764, 788, 1039, 1045, 1091, 1118, 1185, 1193, 1194, 1213, 1214, 1215, 1216, 1230, 1234, 1236, 1238, 1240, 1241, 1242, 1246, 1275, 1280, 1301, 1329, 1332, 1334, 1412, 1414, 1415, 1418, 1434, 1436], "rang": [5, 7, 11, 27, 29, 30, 37, 38, 39, 45, 53, 65, 72, 84, 90, 102, 103, 153, 208, 244, 271, 385, 588, 646, 798, 856, 894, 901, 930, 937, 976, 983, 1013, 1040, 1042, 1043, 1143, 1156, 1158, 1160, 1163, 1166, 1179, 1185, 1199, 1201, 1202, 1203, 1204, 1217, 1218, 1297, 1301, 1303, 1308, 1436], "yield": [5, 14, 72, 89, 103, 146, 149, 169, 181, 183, 190, 208, 256, 294, 296, 340, 341, 348, 349, 355, 364, 378, 383, 389, 420, 421, 424, 445, 452, 455, 457, 459, 466, 467, 468, 491, 532, 542, 563, 577, 579, 586, 587, 589, 649, 705, 706, 707, 712, 713, 719, 720, 736, 738, 867, 873, 880, 894, 912, 916, 930, 948, 954, 962, 976, 994, 998, 1013, 1199, 1205, 1217, 1218, 1284, 1285, 1302, 1387, 1416, 1420, 1421, 1422, 1426, 1429, 1431, 1436], "least": [5, 11, 95, 96, 100, 101, 103, 110, 113, 121, 128, 221, 228, 230, 232, 236, 250, 251, 265, 297, 302, 303, 304, 309, 310, 324, 325, 326, 343, 345, 363, 365, 366, 367, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 439, 441, 442, 485, 486, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 522, 523, 567, 568, 577, 610, 621, 665, 763, 1103, 1150, 1173, 1359, 1360, 1385], "final": [5, 94, 100, 105, 208, 218, 228, 231, 232, 382, 414, 433, 513, 603, 764, 894, 930, 976, 1013, 1048, 1194, 1221, 1225, 1284, 1285, 1302, 1306, 1334, 1408, 1413, 1418, 1420, 1422, 1423], "invoc": [5, 8, 1041, 1302], "bfs_beam_edg": 5, "equival": [5, 8, 103, 145, 146, 149, 172, 185, 212, 213, 282, 294, 331, 387, 437, 442, 493, 496, 519, 547, 588, 590, 620, 621, 684, 686, 763, 784, 793, 869, 875, 914, 918, 950, 957, 996, 1001, 1041, 1044, 1100, 1120, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1171, 1211, 1228, 1302, 1369, 1408, 1416, 1417, 1436], "plain": [5, 1415, 1416], "old": [5, 103, 108, 587, 589, 741, 1300, 1301, 1404, 1411, 1412, 1413, 1414, 1416, 1420, 1421, 1422, 1428, 1431, 1434], "therefor": [5, 94, 95, 133, 354, 464, 493, 494, 514, 677, 1198, 1201, 1242, 1411, 1414], "all": [5, 11, 26, 36, 46, 47, 56, 58, 65, 81, 87, 89, 93, 94, 95, 96, 100, 101, 102, 103, 104, 110, 111, 112, 113, 116, 128, 133, 143, 145, 146, 152, 153, 158, 159, 161, 163, 164, 165, 166, 167, 169, 170, 176, 177, 178, 181, 185, 186, 189, 190, 194, 195, 198, 199, 203, 205, 207, 212, 214, 215, 217, 221, 222, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 242, 244, 245, 247, 248, 249, 250, 253, 254, 257, 258, 259, 260, 261, 262, 263, 265, 270, 273, 274, 275, 277, 278, 279, 281, 282, 290, 291, 292, 293, 294, 296, 298, 299, 300, 301, 304, 306, 307, 308, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 331, 332, 334, 335, 339, 341, 347, 348, 349, 350, 351, 353, 355, 357, 358, 359, 360, 361, 362, 364, 371, 373, 374, 375, 378, 379, 382, 383, 384, 387, 389, 391, 392, 393, 396, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 429, 430, 431, 441, 442, 445, 452, 453, 454, 455, 456, 457, 458, 462, 463, 469, 470, 471, 472, 475, 478, 483, 484, 488, 491, 493, 498, 499, 502, 503, 504, 506, 507, 508, 509, 510, 514, 519, 525, 547, 554, 555, 556, 561, 563, 566, 567, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 583, 585, 588, 592, 595, 596, 597, 598, 599, 603, 617, 621, 630, 631, 632, 634, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 654, 660, 661, 662, 663, 664, 667, 668, 669, 670, 671, 674, 675, 679, 680, 682, 689, 690, 691, 693, 694, 695, 706, 707, 711, 712, 713, 714, 715, 716, 717, 719, 720, 721, 730, 735, 740, 746, 747, 752, 753, 754, 762, 793, 798, 853, 855, 856, 858, 859, 861, 862, 863, 864, 865, 867, 871, 872, 873, 875, 876, 879, 880, 884, 885, 888, 892, 893, 898, 900, 901, 903, 904, 906, 907, 908, 909, 910, 912, 916, 917, 918, 919, 923, 924, 926, 928, 929, 934, 936, 937, 939, 940, 942, 943, 944, 945, 946, 948, 949, 952, 953, 954, 957, 958, 961, 962, 966, 967, 970, 974, 975, 980, 983, 985, 986, 988, 989, 990, 991, 992, 994, 995, 998, 999, 1001, 1002, 1006, 1007, 1009, 1011, 1012, 1040, 1041, 1042, 1043, 1045, 1049, 1057, 1058, 1060, 1061, 1065, 1069, 1087, 1090, 1097, 1103, 1108, 1111, 1115, 1116, 1118, 1120, 1127, 1128, 1129, 1133, 1141, 1143, 1146, 1150, 1151, 1154, 1156, 1157, 1160, 1161, 1171, 1180, 1189, 1195, 1213, 1214, 1216, 1218, 1222, 1223, 1225, 1232, 1237, 1240, 1242, 1246, 1257, 1269, 1276, 1278, 1279, 1284, 1285, 1288, 1293, 1294, 1301, 1302, 1304, 1316, 1317, 1328, 1329, 1330, 1332, 1334, 1338, 1339, 1377, 1387, 1388, 1391, 1396, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1425, 1429, 1434, 1436], "eventu": [5, 100, 655, 1045], "visit": [5, 113, 230, 233, 390, 705, 713, 719, 720, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "log_m": 5, "ceil": [5, 1206], "log2": 5, "pow": 5, "sinc": [5, 8, 94, 98, 102, 103, 196, 268, 281, 282, 323, 346, 347, 348, 349, 350, 351, 353, 356, 364, 473, 474, 475, 476, 477, 514, 548, 549, 550, 555, 590, 638, 722, 740, 755, 763, 793, 886, 925, 968, 1008, 1041, 1136, 1149, 1150, 1181, 1183, 1192, 1228, 1240, 1279, 1284, 1285, 1332, 1334, 1339, 1343, 1344, 1369, 1370, 1412, 1421, 1422], "we": [5, 11, 14, 26, 53, 55, 56, 58, 59, 81, 92, 93, 94, 95, 96, 100, 102, 103, 106, 108, 109, 110, 111, 112, 116, 133, 215, 216, 221, 228, 231, 232, 239, 244, 281, 294, 298, 299, 311, 323, 372, 389, 391, 392, 396, 400, 413, 414, 418, 419, 420, 421, 429, 430, 432, 433, 441, 452, 462, 469, 502, 514, 532, 542, 579, 585, 588, 600, 634, 656, 721, 724, 735, 762, 764, 798, 949, 995, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1064, 1085, 1088, 1091, 1154, 1168, 1171, 1181, 1183, 1201, 1213, 1223, 1284, 1285, 1302, 1306, 1332, 1334, 1356, 1364, 1387, 1402, 1403, 1411, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1423, 1425, 1434, 1436], "ar": [5, 8, 11, 13, 25, 35, 39, 42, 44, 46, 53, 54, 55, 56, 58, 59, 66, 71, 72, 75, 87, 89, 90, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 115, 116, 117, 124, 126, 128, 133, 134, 143, 145, 152, 153, 158, 159, 161, 162, 165, 166, 167, 168, 169, 172, 176, 178, 181, 182, 185, 186, 189, 190, 196, 199, 200, 202, 205, 207, 208, 209, 213, 214, 217, 221, 225, 231, 232, 233, 240, 241, 247, 248, 250, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 265, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 327, 328, 330, 331, 332, 333, 337, 338, 339, 343, 347, 348, 349, 352, 353, 354, 357, 358, 359, 360, 361, 362, 364, 372, 375, 376, 379, 382, 384, 387, 391, 392, 393, 398, 412, 415, 416, 417, 418, 420, 421, 423, 424, 426, 429, 431, 435, 436, 437, 438, 439, 440, 442, 451, 452, 453, 454, 455, 456, 459, 460, 462, 464, 466, 467, 469, 472, 473, 474, 475, 476, 477, 478, 479, 480, 484, 487, 488, 489, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 522, 523, 527, 530, 537, 540, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 583, 585, 587, 588, 589, 590, 591, 592, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 617, 618, 620, 621, 625, 627, 628, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 682, 683, 684, 685, 686, 689, 690, 691, 693, 695, 696, 705, 706, 712, 713, 714, 715, 716, 717, 719, 720, 721, 724, 725, 726, 727, 728, 730, 732, 734, 735, 736, 737, 738, 739, 741, 750, 751, 752, 754, 755, 762, 763, 764, 772, 777, 788, 793, 798, 852, 855, 856, 858, 859, 861, 864, 865, 866, 867, 869, 871, 873, 874, 875, 876, 879, 880, 886, 888, 889, 891, 893, 894, 897, 900, 901, 903, 904, 906, 909, 910, 911, 912, 914, 916, 917, 918, 919, 925, 926, 927, 930, 933, 936, 937, 939, 940, 942, 945, 946, 947, 948, 949, 950, 952, 954, 955, 957, 958, 961, 962, 965, 966, 968, 970, 971, 973, 976, 979, 982, 983, 985, 986, 988, 991, 992, 993, 994, 995, 996, 998, 999, 1001, 1002, 1005, 1006, 1008, 1009, 1010, 1013, 1015, 1021, 1022, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1062, 1063, 1064, 1067, 1069, 1079, 1080, 1085, 1086, 1088, 1089, 1090, 1091, 1100, 1101, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1113, 1115, 1118, 1120, 1122, 1123, 1126, 1127, 1129, 1133, 1139, 1140, 1141, 1143, 1146, 1147, 1150, 1151, 1152, 1154, 1155, 1156, 1157, 1158, 1160, 1161, 1162, 1163, 1165, 1166, 1169, 1171, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1191, 1195, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1210, 1213, 1215, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1229, 1230, 1231, 1233, 1234, 1235, 1238, 1239, 1241, 1242, 1243, 1244, 1245, 1247, 1248, 1266, 1275, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1308, 1313, 1315, 1316, 1317, 1318, 1329, 1330, 1332, 1334, 1335, 1337, 1340, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1359, 1360, 1362, 1363, 1364, 1365, 1367, 1368, 1369, 1370, 1371, 1385, 1386, 1387, 1388, 1390, 1393, 1396, 1398, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1429, 1434, 1436], "alwai": [5, 93, 95, 104, 230, 279, 452, 466, 617, 638, 688, 694, 719, 720, 722, 764, 1092, 1093, 1141, 1188, 1190, 1213, 1216, 1278, 1411, 1414, 1415, 1421, 1422, 1423, 1434, 1436], "same": [5, 8, 42, 51, 81, 94, 96, 102, 103, 104, 105, 110, 112, 115, 116, 145, 148, 153, 158, 159, 168, 172, 182, 196, 197, 198, 202, 203, 205, 227, 236, 245, 250, 279, 284, 286, 292, 294, 298, 299, 300, 308, 323, 325, 326, 331, 348, 349, 354, 363, 364, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 462, 466, 482, 496, 497, 499, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 548, 549, 550, 551, 552, 553, 557, 558, 559, 560, 567, 568, 570, 574, 576, 585, 586, 587, 588, 589, 590, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 610, 617, 621, 625, 628, 629, 633, 643, 645, 673, 674, 675, 676, 677, 680, 692, 693, 695, 707, 721, 732, 735, 737, 739, 782, 784, 788, 851, 856, 858, 859, 866, 869, 874, 886, 887, 891, 892, 893, 896, 901, 903, 904, 911, 914, 925, 928, 932, 937, 939, 940, 947, 948, 950, 955, 962, 968, 969, 973, 974, 975, 978, 983, 985, 986, 993, 994, 996, 1008, 1011, 1022, 1043, 1050, 1083, 1087, 1101, 1104, 1120, 1123, 1132, 1136, 1137, 1138, 1139, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1166, 1175, 1176, 1181, 1183, 1213, 1214, 1216, 1245, 1277, 1278, 1283, 1284, 1285, 1300, 1301, 1302, 1309, 1329, 1332, 1334, 1353, 1367, 1368, 1402, 1403, 1411, 1413, 1415, 1416, 1419, 1421, 1422, 1423, 1425, 1434, 1436], "mai": [5, 8, 46, 58, 59, 93, 94, 95, 98, 100, 101, 102, 104, 105, 108, 111, 112, 146, 149, 166, 208, 211, 212, 216, 217, 231, 232, 340, 349, 354, 375, 380, 391, 392, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 442, 455, 462, 466, 472, 496, 500, 501, 504, 505, 508, 509, 512, 514, 561, 562, 567, 568, 587, 589, 600, 608, 617, 620, 621, 628, 629, 634, 637, 661, 662, 663, 664, 680, 695, 697, 700, 701, 712, 737, 739, 753, 762, 793, 852, 864, 894, 897, 909, 930, 933, 945, 956, 976, 979, 991, 1000, 1013, 1041, 1045, 1046, 1085, 1088, 1089, 1123, 1131, 1132, 1150, 1156, 1158, 1163, 1165, 1166, 1169, 1174, 1181, 1183, 1191, 1223, 1240, 1301, 1302, 1334, 1365, 1369, 1387, 1388, 1390, 1402, 1411, 1412, 1413, 1414, 1422, 1423, 1426, 1427, 1434, 1436], "mani": [5, 51, 55, 92, 93, 94, 95, 98, 102, 103, 104, 108, 111, 113, 115, 116, 152, 157, 221, 230, 329, 359, 496, 621, 634, 751, 774, 798, 855, 857, 900, 902, 938, 984, 1040, 1042, 1043, 1045, 1046, 1127, 1129, 1139, 1154, 1199, 1203, 1257, 1288, 1302, 1316, 1332, 1334, 1390, 1391, 1402, 1405, 1407, 1408, 1409, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1423, 1436], "depend": [5, 14, 93, 94, 100, 104, 105, 106, 108, 110, 112, 133, 218, 250, 323, 327, 331, 346, 355, 356, 424, 431, 468, 481, 793, 1041, 1097, 1131, 1132, 1174, 1179, 1240, 1289, 1290, 1302, 1310, 1311, 1325, 1332, 1368, 1395, 1404, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1434, 1436], "At": [5, 98, 100, 108, 231, 232, 354, 375, 567, 568, 782, 1404, 1413, 1436], "point": [5, 7, 11, 46, 53, 54, 56, 59, 60, 87, 93, 95, 98, 100, 104, 113, 176, 189, 223, 230, 389, 391, 392, 396, 473, 474, 475, 476, 477, 485, 498, 499, 503, 506, 507, 510, 567, 568, 583, 620, 623, 655, 662, 669, 871, 879, 952, 961, 1041, 1154, 1180, 1201, 1213, 1216, 1219, 1221, 1408, 1411, 1412, 1415, 1422, 1423, 1430, 1434], "have": [5, 7, 29, 35, 58, 66, 77, 89, 92, 93, 94, 95, 96, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 112, 113, 116, 122, 128, 148, 169, 177, 185, 190, 203, 205, 208, 209, 220, 221, 223, 224, 228, 229, 230, 231, 232, 233, 236, 244, 266, 283, 284, 285, 286, 287, 288, 289, 296, 297, 300, 302, 303, 309, 310, 321, 325, 326, 338, 350, 351, 352, 359, 363, 364, 371, 380, 384, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 427, 428, 429, 431, 433, 436, 444, 445, 446, 447, 449, 450, 458, 460, 461, 466, 468, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 525, 561, 562, 563, 564, 565, 567, 568, 578, 579, 580, 581, 582, 590, 593, 594, 601, 602, 604, 605, 606, 617, 620, 621, 643, 645, 649, 654, 660, 679, 682, 693, 709, 713, 721, 723, 724, 725, 726, 727, 728, 736, 737, 738, 739, 750, 751, 753, 755, 764, 788, 793, 867, 872, 875, 880, 892, 893, 894, 912, 918, 928, 929, 930, 948, 953, 956, 957, 962, 974, 975, 976, 994, 1000, 1001, 1011, 1012, 1013, 1043, 1045, 1046, 1063, 1069, 1071, 1087, 1104, 1105, 1106, 1108, 1112, 1121, 1123, 1132, 1151, 1156, 1158, 1161, 1163, 1165, 1166, 1169, 1171, 1181, 1182, 1183, 1185, 1191, 1194, 1200, 1213, 1214, 1216, 1219, 1221, 1222, 1223, 1228, 1240, 1260, 1263, 1278, 1284, 1285, 1301, 1302, 1306, 1308, 1316, 1330, 1332, 1334, 1364, 1367, 1368, 1371, 1372, 1387, 1398, 1402, 1403, 1404, 1408, 1411, 1412, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1430, 1433, 1434, 1436], "been": [5, 11, 66, 89, 92, 95, 98, 100, 102, 104, 311, 325, 358, 371, 566, 568, 713, 719, 720, 788, 1045, 1046, 1171, 1194, 1275, 1302, 1306, 1332, 1387, 1390, 1402, 1403, 1404, 1407, 1408, 1413, 1414, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1424, 1426, 1432, 1434, 1436], "know": [5, 93, 94, 95, 98, 100, 111, 311, 1045, 1332, 1404], "random": [5, 6, 24, 28, 29, 32, 48, 63, 64, 65, 81, 84, 87, 94, 97, 99, 100, 111, 209, 214, 218, 223, 224, 228, 231, 232, 272, 273, 275, 276, 297, 298, 302, 303, 307, 309, 310, 327, 333, 370, 375, 376, 379, 380, 382, 383, 390, 424, 591, 595, 627, 672, 677, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 740, 749, 760, 784, 1044, 1103, 1114, 1120, 1145, 1152, 1163, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1213, 1216, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1284, 1285, 1289, 1290, 1305, 1307, 1309, 1310, 1311, 1325, 1331, 1403, 1404, 1408, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1433, 1434], "comput": [5, 6, 9, 11, 14, 17, 20, 27, 32, 35, 55, 59, 62, 66, 70, 72, 92, 94, 102, 111, 112, 113, 116, 126, 138, 139, 142, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 227, 229, 236, 237, 240, 241, 242, 245, 249, 257, 258, 259, 260, 261, 262, 263, 264, 278, 279, 281, 282, 286, 290, 296, 297, 298, 299, 300, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 336, 337, 338, 339, 343, 345, 346, 347, 348, 349, 350, 351, 355, 356, 357, 358, 359, 360, 361, 362, 382, 385, 398, 407, 408, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 432, 433, 442, 443, 447, 448, 454, 455, 459, 460, 470, 478, 483, 484, 487, 488, 489, 496, 499, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 521, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 578, 579, 583, 585, 593, 594, 595, 618, 620, 621, 622, 623, 626, 634, 635, 637, 638, 639, 640, 643, 644, 645, 646, 647, 648, 650, 651, 654, 656, 657, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 677, 680, 682, 684, 685, 686, 687, 688, 689, 690, 700, 701, 753, 754, 755, 762, 768, 771, 773, 777, 779, 780, 781, 786, 787, 793, 796, 1041, 1046, 1050, 1069, 1088, 1089, 1111, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1144, 1145, 1146, 1147, 1148, 1198, 1200, 1201, 1203, 1204, 1209, 1215, 1219, 1221, 1232, 1245, 1251, 1274, 1275, 1281, 1282, 1283, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1308, 1332, 1334, 1404, 1408, 1411, 1415, 1416, 1420, 1422, 1423, 1425, 1429, 1430, 1434], "perform": [5, 54, 59, 87, 97, 102, 104, 110, 214, 218, 239, 283, 300, 341, 375, 388, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 431, 471, 498, 502, 513, 514, 571, 586, 603, 627, 665, 694, 695, 696, 712, 764, 788, 1045, 1108, 1120, 1170, 1213, 1225, 1275, 1301, 1332, 1342, 1402, 1404, 1408, 1411, 1414, 1415, 1421, 1422, 1423, 1431, 1434], "reproduc": [5, 7, 9, 12, 20, 27, 29, 30, 31, 32, 40, 43, 47, 63, 64, 66, 89, 90, 95, 104, 111, 166, 864, 909, 945, 991, 1334, 1414, 1417, 1422], "89": [5, 304, 324, 522, 523], "gnp_random_graph": [5, 14, 28, 89, 276, 1179, 1209, 1210, 1211, 1230, 1234, 1236, 1241, 1406, 1415], "eigenvector_centr": [5, 300, 305, 313, 321, 323, 325, 326, 705, 1415, 1416], "avg_centr": 5, "sum": [5, 20, 81, 89, 94, 116, 167, 176, 189, 199, 220, 224, 227, 230, 231, 232, 236, 237, 242, 243, 244, 245, 248, 253, 258, 259, 270, 272, 274, 277, 281, 290, 298, 301, 307, 315, 316, 321, 323, 327, 329, 332, 334, 335, 348, 351, 354, 356, 358, 359, 373, 374, 382, 384, 385, 386, 387, 431, 445, 449, 450, 451, 498, 499, 503, 506, 507, 508, 510, 515, 518, 519, 520, 566, 567, 583, 585, 595, 628, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 678, 687, 690, 691, 736, 738, 740, 753, 755, 865, 871, 879, 888, 910, 926, 946, 952, 961, 970, 992, 1009, 1105, 1106, 1108, 1171, 1176, 1179, 1181, 1182, 1183, 1192, 1199, 1204, 1205, 1214, 1215, 1228, 1276, 1281, 1282, 1283, 1286, 1287, 1291, 1292, 1295, 1297, 1299, 1302, 1425, 1436], "has_high_centr": 5, "get": [5, 27, 46, 55, 70, 85, 89, 94, 97, 102, 103, 104, 110, 116, 185, 231, 232, 239, 286, 325, 326, 341, 357, 376, 383, 468, 490, 513, 514, 525, 577, 590, 591, 603, 656, 672, 680, 705, 706, 729, 741, 754, 875, 918, 957, 987, 1001, 1039, 1067, 1068, 1085, 1088, 1091, 1149, 1171, 1240, 1273, 1301, 1306, 1332, 1334, 1402, 1403, 1406, 1410, 1413, 1415, 1416, 1419, 1420, 1421, 1422, 1423, 1428, 1436], "found_nod": 5, "print": [5, 8, 9, 11, 12, 13, 14, 15, 20, 21, 26, 32, 35, 45, 46, 50, 63, 64, 65, 66, 67, 68, 70, 72, 75, 77, 78, 81, 85, 87, 88, 91, 94, 116, 237, 238, 242, 245, 249, 252, 255, 264, 266, 282, 285, 286, 288, 301, 313, 314, 325, 326, 333, 334, 335, 357, 358, 359, 360, 361, 362, 376, 389, 391, 392, 396, 397, 398, 451, 453, 504, 508, 569, 570, 571, 572, 573, 574, 575, 576, 600, 608, 618, 628, 632, 634, 635, 637, 639, 640, 644, 646, 648, 649, 651, 655, 656, 662, 664, 665, 666, 668, 669, 671, 679, 680, 682, 705, 708, 709, 710, 746, 751, 1045, 1066, 1102, 1108, 1179, 1223, 1287, 1291, 1301, 1302, 1332, 1337, 1341, 1347, 1351, 1360, 1361, 1370, 1375, 1386, 1387, 1395, 1413, 1417, 1425, 1436], "f": [5, 8, 9, 11, 12, 13, 14, 15, 16, 17, 20, 26, 27, 46, 47, 56, 58, 62, 63, 64, 65, 66, 67, 68, 72, 83, 84, 89, 90, 103, 104, 111, 113, 221, 242, 245, 301, 312, 313, 314, 325, 326, 327, 334, 335, 347, 348, 349, 375, 425, 429, 436, 510, 518, 547, 569, 570, 571, 572, 573, 574, 575, 576, 590, 608, 640, 644, 646, 648, 649, 651, 662, 664, 666, 668, 669, 671, 693, 734, 751, 1046, 1048, 1049, 1050, 1105, 1206, 1207, 1241, 1284, 1286, 1296, 1302, 1329, 1358, 1360, 1384, 1386, 1414, 1421, 1436], "draw": [5, 6, 7, 9, 12, 13, 14, 20, 21, 22, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 43, 45, 46, 50, 51, 55, 56, 58, 59, 63, 64, 66, 68, 72, 75, 76, 77, 78, 80, 81, 82, 84, 85, 89, 90, 94, 96, 98, 106, 108, 111, 112, 616, 618, 760, 1119, 1127, 1128, 1129, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1199, 1204, 1219, 1331, 1334, 1387, 1390, 1402, 1403, 1404, 1405, 1408, 1413, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1434], "node_color": [5, 6, 8, 10, 13, 16, 17, 22, 26, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 44, 55, 57, 58, 59, 66, 69, 70, 71, 72, 81, 82, 83, 85, 1045, 1137, 1138, 1139, 1143, 1144, 1145, 1146, 1147, 1148, 1332, 1420, 1436], "node_s": [5, 6, 7, 8, 10, 14, 16, 22, 26, 28, 29, 31, 33, 34, 35, 36, 38, 39, 40, 41, 44, 45, 46, 47, 51, 55, 56, 57, 58, 59, 66, 69, 70, 71, 72, 81, 82, 83, 84, 85, 1139, 1141, 1143, 1436], "edge_color": [5, 6, 17, 26, 29, 30, 33, 36, 39, 45, 46, 47, 55, 57, 69, 70, 84, 145, 1139, 1141, 1332, 1420], "grei": [5, 59], "linewidth": [5, 15, 22, 35, 39, 55, 59, 66, 70, 557, 558, 559, 560, 1139, 1143], "red": [5, 10, 13, 16, 17, 31, 36, 39, 45, 72, 75, 78, 84, 94, 169, 190, 237, 238, 247, 269, 466, 471, 548, 549, 550, 554, 555, 556, 557, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 693, 762, 798, 867, 880, 912, 948, 962, 994, 1040, 1042, 1043, 1045, 1067, 1068, 1089, 1103, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1284, 1285, 1308, 1332, 1345, 1403, 1415, 1416, 1436], "draw_networkx_nod": [5, 17, 26, 28, 29, 31, 34, 36, 39, 40, 47, 69, 1136, 1139, 1140, 1141, 1142, 1417, 1422], "nodelist": [5, 15, 31, 34, 36, 40, 84, 327, 567, 631, 751, 1078, 1097, 1098, 1099, 1105, 1106, 1107, 1108, 1139, 1141, 1143, 1179, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1326, 1327, 1415, 1422], "r": [5, 6, 7, 17, 26, 31, 35, 36, 46, 59, 68, 69, 70, 72, 90, 92, 94, 98, 104, 107, 111, 133, 210, 212, 213, 215, 216, 217, 221, 225, 227, 236, 237, 240, 241, 242, 245, 249, 258, 281, 283, 301, 345, 363, 389, 391, 392, 396, 407, 408, 411, 413, 414, 418, 419, 420, 421, 459, 464, 477, 496, 497, 500, 501, 504, 505, 508, 509, 510, 511, 512, 579, 588, 595, 598, 600, 601, 603, 604, 605, 608, 610, 611, 620, 623, 627, 655, 672, 677, 679, 680, 693, 1046, 1151, 1161, 1168, 1175, 1179, 1191, 1199, 1201, 1211, 1212, 1223, 1229, 1235, 1241, 1271, 1277, 1286, 1296, 1303, 1306, 1308, 1329, 1332, 1350, 1388, 1402, 1406, 1414, 1415, 1417], "73": [5, 436, 1198], "12598283530728402": 5, "289": [5, 18], "plot_beam_search": [5, 18], "measur": [6, 12, 56, 94, 116, 129, 237, 240, 241, 242, 245, 249, 261, 262, 263, 291, 297, 298, 301, 302, 303, 304, 309, 310, 312, 313, 315, 317, 318, 324, 325, 326, 327, 329, 331, 337, 357, 521, 576, 595, 638, 673, 676, 678, 684, 689, 690, 754, 760, 784, 787, 795, 1195, 1196, 1261, 1331, 1408, 1415, 1416, 1420, 1421, 1425, 1426, 1436], "gene": [6, 1422], "associ": [6, 11, 96, 102, 103, 104, 113, 152, 153, 171, 313, 334, 335, 373, 649, 672, 677, 679, 798, 855, 856, 868, 900, 901, 913, 936, 937, 949, 982, 983, 995, 1040, 1041, 1042, 1043, 1084, 1186, 1198, 1275, 1278, 1330, 1332, 1335, 1347, 1348, 1350, 1389, 1403, 1404, 1413, 1436], "wormnet": 6, "data": [6, 7, 9, 16, 17, 26, 27, 35, 37, 39, 40, 41, 46, 47, 50, 53, 55, 56, 57, 58, 59, 66, 67, 68, 69, 70, 72, 75, 85, 89, 90, 94, 102, 103, 107, 110, 111, 116, 152, 153, 158, 159, 160, 166, 169, 171, 177, 185, 190, 191, 193, 198, 201, 203, 205, 209, 221, 227, 228, 229, 230, 231, 232, 233, 250, 252, 266, 267, 268, 269, 278, 281, 283, 284, 285, 286, 287, 289, 291, 292, 296, 297, 302, 303, 304, 309, 310, 316, 323, 324, 327, 332, 376, 379, 384, 393, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 460, 461, 462, 471, 478, 504, 505, 508, 509, 567, 568, 583, 585, 590, 593, 594, 595, 601, 602, 604, 614, 617, 626, 630, 631, 632, 672, 677, 678, 692, 693, 725, 726, 727, 728, 736, 737, 738, 739, 798, 852, 855, 856, 858, 859, 860, 864, 867, 868, 872, 875, 880, 881, 883, 890, 892, 893, 897, 900, 901, 903, 904, 905, 909, 912, 913, 918, 922, 928, 929, 933, 936, 937, 939, 940, 941, 945, 948, 949, 953, 957, 962, 966, 972, 974, 975, 979, 982, 983, 985, 986, 987, 991, 994, 995, 1001, 1006, 1011, 1012, 1015, 1016, 1021, 1039, 1040, 1041, 1042, 1043, 1060, 1066, 1087, 1088, 1090, 1091, 1094, 1097, 1098, 1100, 1101, 1102, 1103, 1104, 1105, 1107, 1108, 1112, 1121, 1161, 1179, 1195, 1223, 1225, 1275, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1300, 1308, 1313, 1315, 1318, 1331, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1375, 1376, 1377, 1380, 1383, 1384, 1385, 1386, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1402, 1403, 1404, 1413, 1414, 1415, 1416, 1421, 1422, 1423, 1434, 1436], "http": [6, 7, 26, 35, 39, 46, 50, 51, 53, 56, 57, 66, 67, 69, 70, 72, 92, 94, 100, 107, 108, 111, 112, 113, 121, 122, 129, 133, 166, 203, 205, 211, 212, 214, 215, 216, 217, 218, 221, 227, 231, 232, 236, 250, 258, 259, 260, 275, 279, 283, 284, 294, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 329, 331, 332, 334, 335, 340, 342, 343, 344, 347, 348, 349, 357, 358, 359, 360, 364, 373, 374, 375, 382, 387, 388, 411, 412, 413, 414, 415, 416, 417, 419, 425, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 444, 446, 447, 448, 449, 450, 453, 454, 455, 456, 457, 469, 471, 478, 479, 480, 481, 485, 486, 487, 488, 489, 490, 492, 496, 500, 513, 514, 516, 521, 547, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 592, 608, 616, 618, 620, 621, 627, 662, 669, 672, 673, 674, 675, 676, 677, 678, 687, 690, 692, 694, 695, 697, 698, 700, 701, 706, 708, 709, 710, 712, 721, 722, 731, 733, 734, 735, 736, 738, 750, 751, 752, 753, 754, 762, 763, 764, 769, 784, 793, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1114, 1136, 1139, 1140, 1141, 1142, 1143, 1171, 1175, 1176, 1177, 1191, 1194, 1203, 1204, 1206, 1212, 1224, 1225, 1239, 1245, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1275, 1288, 1326, 1327, 1347, 1348, 1350, 1357, 1358, 1359, 1360, 1367, 1368, 1373, 1374, 1379, 1381, 1382, 1383, 1384, 1385, 1386, 1389, 1391, 1393, 1394, 1397, 1402, 1403, 1406, 1407, 1408, 1409, 1415, 1416, 1421, 1425, 1426], "www": [6, 27, 35, 39, 66, 69, 70, 72, 113, 129, 221, 236, 250, 312, 313, 316, 317, 318, 332, 411, 412, 413, 414, 415, 416, 417, 419, 432, 437, 438, 444, 446, 449, 450, 469, 478, 485, 513, 514, 521, 557, 566, 569, 570, 572, 573, 574, 620, 690, 692, 695, 706, 708, 709, 710, 712, 721, 735, 736, 738, 750, 752, 764, 1045, 1171, 1256, 1265, 1268, 1373, 1374, 1394], "inetbio": 6, "org": [6, 7, 39, 46, 51, 53, 56, 69, 81, 93, 94, 100, 111, 113, 121, 122, 129, 133, 166, 203, 205, 211, 212, 214, 218, 221, 227, 231, 232, 258, 259, 260, 275, 279, 283, 284, 294, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 314, 315, 316, 317, 323, 324, 328, 329, 331, 332, 334, 335, 340, 342, 343, 347, 348, 349, 357, 359, 360, 364, 373, 374, 375, 382, 387, 388, 425, 427, 428, 429, 433, 434, 435, 436, 437, 438, 439, 440, 443, 447, 448, 454, 455, 456, 457, 471, 478, 485, 486, 487, 488, 489, 490, 492, 496, 500, 513, 514, 516, 547, 570, 571, 574, 575, 576, 592, 621, 627, 672, 677, 678, 687, 695, 697, 698, 706, 712, 722, 731, 733, 734, 750, 752, 754, 762, 763, 764, 769, 784, 793, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1114, 1136, 1139, 1140, 1141, 1142, 1143, 1175, 1176, 1177, 1191, 1194, 1203, 1212, 1225, 1239, 1245, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1275, 1326, 1327, 1347, 1367, 1368, 1391, 1393, 1405, 1408, 1415, 1425, 1434], "downloadnetwork": 6, "php": [6, 26], "sampl": [6, 46, 228, 297, 298, 307, 590, 677, 740, 1191, 1215, 1232, 1245, 1275, 1321, 1322, 1323, 1324, 1421, 1422, 1423], "gold": [6, 37], "standard": [6, 14, 70, 90, 93, 94, 95, 100, 102, 103, 104, 105, 106, 111, 112, 333, 337, 722, 793, 956, 1000, 1185, 1202, 1203, 1204, 1219, 1223, 1288, 1308, 1332, 1334, 1356, 1389, 1390, 1391, 1403, 1411, 1416, 1422, 1434, 1436], "read_edgelist": [6, 7, 21, 41, 1345, 1346, 1392, 1407, 1415, 1422, 1423], "v3": [6, 94, 350, 351, 356, 1413, 1425, 1431, 1434], "benchmark": [6, 108, 1171, 1415, 1416], "txt": [6, 35, 41, 66, 69, 70, 72, 94, 107, 1405, 1417], "remov": [6, 17, 44, 66, 90, 94, 96, 103, 128, 143, 163, 164, 193, 194, 195, 196, 200, 210, 215, 216, 217, 221, 233, 234, 250, 294, 295, 296, 301, 323, 327, 346, 350, 351, 356, 368, 372, 376, 389, 391, 392, 396, 412, 413, 414, 415, 416, 417, 418, 419, 422, 423, 424, 429, 430, 437, 493, 494, 502, 518, 525, 661, 665, 692, 694, 696, 753, 763, 788, 862, 863, 883, 884, 885, 886, 889, 907, 908, 922, 923, 924, 925, 927, 943, 944, 956, 965, 966, 967, 968, 971, 989, 990, 1000, 1005, 1006, 1007, 1008, 1010, 1041, 1045, 1051, 1060, 1066, 1069, 1160, 1178, 1181, 1183, 1185, 1228, 1239, 1259, 1278, 1308, 1309, 1332, 1405, 1408, 1409, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1431, 1434], "randomli": [6, 103, 272, 273, 672, 677, 694, 696, 749, 1171, 1177, 1181, 1183, 1192, 1194, 1199, 1201, 1204, 1208, 1210, 1228, 1235, 1239, 1428, 1429, 1434], "select": [6, 7, 26, 27, 103, 193, 218, 230, 231, 232, 262, 263, 327, 339, 345, 567, 568, 584, 740, 749, 883, 922, 1113, 1171, 1180, 1205, 1208, 1223, 1226, 1232, 1242, 1289, 1290, 1401, 1411, 1420, 1422], "make": [6, 7, 9, 17, 26, 35, 65, 66, 76, 93, 94, 95, 96, 97, 98, 99, 100, 102, 103, 105, 107, 108, 110, 111, 112, 116, 133, 200, 231, 232, 233, 299, 301, 308, 333, 383, 385, 424, 430, 536, 546, 585, 587, 588, 589, 608, 616, 655, 659, 694, 762, 764, 782, 889, 927, 949, 971, 995, 1010, 1045, 1066, 1069, 1085, 1100, 1105, 1130, 1156, 1158, 1163, 1165, 1166, 1169, 1182, 1219, 1223, 1240, 1243, 1244, 1278, 1302, 1306, 1326, 1327, 1332, 1334, 1356, 1402, 1403, 1404, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1430, 1431, 1434, 1436], "fast": [6, 113, 211, 215, 216, 217, 218, 221, 227, 316, 332, 363, 382, 383, 429, 483, 484, 655, 672, 677, 1139, 1141, 1241, 1302, 1332, 1402, 1404, 1407, 1415, 1436], "num_to_remov": 6, "int": [6, 35, 69, 85, 104, 167, 176, 186, 187, 188, 189, 199, 231, 232, 234, 235, 267, 268, 273, 276, 284, 297, 298, 307, 332, 342, 350, 351, 354, 355, 378, 379, 384, 385, 403, 435, 436, 437, 438, 439, 460, 461, 466, 513, 514, 526, 593, 594, 595, 638, 677, 692, 693, 694, 703, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 723, 854, 865, 871, 876, 877, 878, 879, 888, 899, 910, 919, 920, 921, 926, 935, 946, 952, 956, 958, 959, 960, 961, 970, 981, 992, 1000, 1002, 1003, 1004, 1009, 1083, 1084, 1101, 1103, 1104, 1105, 1106, 1107, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1127, 1129, 1139, 1140, 1141, 1142, 1149, 1151, 1152, 1153, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1187, 1188, 1189, 1190, 1191, 1193, 1194, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1210, 1211, 1217, 1219, 1220, 1221, 1224, 1225, 1226, 1227, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1247, 1279, 1300, 1302, 1303, 1305, 1306, 1307, 1308, 1310, 1311, 1317, 1325, 1338, 1339, 1342, 1343, 1344, 1351, 1354, 1355, 1356, 1362, 1363, 1364, 1376, 1377, 1387, 1388, 1390, 1414, 1418, 1420, 1421, 1423, 1425], "remove_nodes_from": [6, 90, 195, 200, 493, 494, 525, 601, 604, 885, 889, 924, 927, 967, 971, 1007, 1010, 1069, 1402, 1403, 1436], "low": [6, 15, 89, 230, 231, 232, 654, 798, 1040, 1042, 1043, 1044, 1240, 1275], "degre": [6, 9, 12, 24, 31, 35, 38, 44, 48, 61, 64, 66, 67, 73, 84, 87, 89, 129, 162, 176, 189, 211, 215, 216, 221, 234, 240, 241, 242, 243, 244, 245, 248, 260, 270, 272, 274, 275, 277, 285, 287, 290, 305, 318, 319, 320, 322, 325, 326, 330, 333, 338, 358, 359, 363, 369, 372, 382, 385, 386, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 434, 435, 436, 437, 438, 450, 462, 479, 493, 494, 502, 513, 514, 515, 516, 517, 518, 520, 524, 525, 526, 551, 552, 553, 617, 620, 624, 625, 626, 627, 690, 692, 695, 696, 697, 704, 731, 733, 742, 743, 751, 760, 761, 762, 788, 793, 798, 871, 879, 952, 961, 1040, 1042, 1043, 1062, 1150, 1151, 1171, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1191, 1192, 1197, 1213, 1214, 1215, 1216, 1228, 1229, 1233, 1240, 1241, 1243, 1244, 1245, 1257, 1278, 1286, 1291, 1292, 1293, 1294, 1300, 1326, 1327, 1331, 1332, 1387, 1396, 1402, 1407, 1408, 1411, 1413, 1415, 1416, 1420, 1422, 1425, 1426, 1436], "low_degre": 6, "n": [6, 7, 10, 11, 13, 14, 16, 17, 22, 26, 27, 28, 31, 32, 39, 40, 50, 56, 63, 64, 65, 66, 68, 69, 70, 72, 78, 81, 83, 84, 85, 89, 90, 100, 102, 103, 104, 111, 115, 116, 133, 142, 153, 158, 159, 160, 161, 173, 182, 185, 191, 192, 195, 196, 200, 201, 202, 211, 214, 228, 230, 231, 232, 236, 240, 241, 244, 258, 259, 260, 261, 262, 263, 273, 276, 279, 281, 287, 290, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 305, 307, 308, 309, 310, 314, 316, 317, 318, 319, 320, 322, 323, 325, 326, 327, 328, 330, 332, 333, 334, 335, 346, 347, 348, 356, 357, 359, 363, 372, 373, 382, 385, 386, 387, 389, 391, 392, 396, 402, 403, 404, 405, 406, 411, 412, 414, 415, 416, 420, 425, 431, 433, 436, 454, 455, 496, 500, 501, 502, 508, 511, 512, 514, 515, 516, 517, 518, 519, 524, 562, 571, 586, 594, 600, 601, 604, 610, 620, 621, 627, 630, 631, 632, 635, 649, 654, 660, 661, 679, 680, 681, 688, 689, 690, 691, 699, 703, 708, 731, 733, 745, 750, 755, 764, 798, 850, 851, 853, 856, 858, 859, 860, 861, 870, 874, 875, 881, 882, 885, 886, 889, 890, 891, 895, 896, 898, 901, 903, 904, 905, 906, 915, 917, 918, 924, 925, 927, 931, 932, 934, 937, 939, 940, 941, 942, 951, 955, 957, 963, 964, 967, 968, 971, 972, 973, 977, 978, 980, 983, 985, 986, 987, 988, 997, 999, 1001, 1007, 1008, 1010, 1040, 1042, 1043, 1045, 1063, 1069, 1071, 1076, 1097, 1120, 1123, 1125, 1127, 1132, 1134, 1142, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1173, 1174, 1175, 1180, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1217, 1218, 1219, 1220, 1221, 1222, 1224, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1277, 1278, 1279, 1292, 1300, 1303, 1308, 1321, 1322, 1329, 1330, 1332, 1351, 1358, 1359, 1360, 1384, 1385, 1386, 1388, 1402, 1403, 1413, 1415, 1418, 1420, 1422, 1434, 1436], "10": [6, 7, 9, 11, 13, 20, 26, 29, 33, 45, 46, 53, 56, 64, 65, 66, 67, 71, 90, 94, 98, 102, 103, 104, 106, 111, 112, 113, 116, 126, 129, 157, 158, 208, 211, 212, 214, 221, 227, 231, 232, 258, 259, 260, 264, 273, 275, 279, 281, 286, 294, 295, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 321, 323, 324, 325, 326, 328, 329, 331, 332, 333, 339, 340, 343, 344, 347, 348, 349, 359, 364, 376, 378, 379, 382, 387, 389, 391, 392, 394, 396, 401, 407, 408, 409, 422, 423, 424, 425, 427, 429, 430, 433, 436, 440, 443, 447, 448, 453, 454, 455, 457, 487, 488, 489, 492, 496, 498, 500, 502, 503, 506, 507, 510, 516, 517, 520, 521, 547, 557, 566, 570, 571, 574, 576, 579, 588, 600, 602, 608, 616, 618, 620, 632, 634, 672, 673, 674, 675, 676, 677, 684, 686, 695, 708, 709, 710, 731, 733, 754, 755, 762, 763, 764, 798, 857, 858, 894, 902, 903, 930, 938, 939, 949, 976, 984, 985, 995, 1013, 1040, 1042, 1043, 1044, 1055, 1056, 1057, 1097, 1103, 1105, 1107, 1109, 1112, 1139, 1140, 1141, 1154, 1160, 1171, 1174, 1176, 1185, 1186, 1187, 1188, 1190, 1194, 1199, 1205, 1210, 1239, 1241, 1245, 1246, 1254, 1261, 1265, 1279, 1281, 1326, 1327, 1347, 1361, 1362, 1412, 1414, 1421, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "connected_compon": [6, 7, 17, 26, 28, 51, 81, 84, 85, 89, 397, 402, 404, 407, 408, 409, 502, 635, 1222, 1404, 1411, 1415, 1421, 1436], "largest_compon": [6, 51], "max": [6, 15, 28, 32, 51, 85, 209, 244, 261, 262, 263, 325, 326, 348, 350, 358, 376, 392, 394, 401, 407, 408, 409, 416, 425, 467, 496, 508, 509, 519, 520, 585, 626, 687, 724, 760, 793, 1106, 1222, 1233, 1409, 1415, 1418], "kei": [6, 20, 26, 28, 31, 40, 51, 68, 84, 85, 95, 100, 101, 102, 103, 105, 107, 145, 152, 157, 158, 160, 180, 191, 200, 201, 215, 220, 221, 223, 224, 228, 229, 230, 231, 232, 233, 237, 238, 239, 240, 241, 246, 247, 249, 252, 253, 258, 259, 260, 262, 263, 266, 267, 268, 269, 278, 279, 281, 282, 283, 288, 290, 291, 292, 297, 300, 302, 303, 309, 310, 311, 321, 327, 331, 333, 348, 355, 359, 360, 362, 363, 364, 373, 374, 376, 379, 384, 392, 394, 401, 407, 408, 409, 424, 429, 434, 440, 444, 445, 446, 447, 449, 450, 452, 460, 461, 466, 473, 474, 475, 476, 477, 478, 483, 484, 490, 491, 498, 499, 503, 506, 510, 513, 514, 521, 547, 566, 567, 568, 583, 585, 587, 589, 590, 600, 607, 609, 612, 613, 617, 623, 626, 627, 628, 629, 630, 631, 632, 633, 637, 638, 639, 640, 642, 643, 644, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 678, 679, 689, 690, 715, 717, 719, 720, 725, 726, 727, 728, 736, 737, 738, 739, 740, 751, 752, 753, 754, 763, 788, 798, 852, 855, 857, 858, 860, 881, 889, 890, 897, 900, 902, 903, 905, 927, 933, 936, 937, 938, 939, 941, 948, 949, 950, 953, 956, 962, 963, 965, 966, 971, 972, 979, 982, 983, 984, 985, 987, 994, 995, 996, 1000, 1005, 1006, 1010, 1022, 1023, 1039, 1040, 1041, 1042, 1043, 1045, 1050, 1067, 1068, 1087, 1088, 1089, 1091, 1094, 1097, 1101, 1102, 1103, 1107, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1195, 1199, 1202, 1203, 1204, 1223, 1276, 1281, 1282, 1283, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1301, 1308, 1313, 1316, 1326, 1327, 1330, 1332, 1341, 1342, 1343, 1345, 1351, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1369, 1370, 1371, 1390, 1402, 1403, 1413, 1415, 1416, 1421, 1422, 1434, 1436], "betweenness_centr": [6, 12, 14, 57, 259, 260, 299, 300, 302, 303, 305, 307, 308, 309, 310, 316, 321, 323, 328, 331, 332, 333, 1089, 1407, 1408, 1415, 1422, 1423], "k": [6, 11, 16, 17, 26, 27, 35, 39, 55, 56, 57, 58, 68, 69, 89, 92, 94, 100, 102, 129, 143, 144, 194, 211, 215, 216, 217, 221, 240, 273, 285, 297, 298, 300, 302, 303, 307, 309, 310, 323, 332, 338, 357, 358, 359, 375, 376, 378, 387, 392, 411, 412, 413, 414, 415, 418, 420, 422, 423, 424, 425, 426, 427, 428, 429, 430, 434, 435, 436, 437, 438, 439, 440, 451, 462, 464, 479, 483, 484, 490, 514, 519, 522, 523, 595, 610, 620, 621, 624, 626, 627, 672, 677, 679, 682, 686, 688, 721, 730, 732, 735, 736, 738, 759, 760, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 884, 923, 937, 948, 953, 962, 966, 974, 983, 994, 1006, 1011, 1042, 1043, 1120, 1139, 1140, 1141, 1142, 1153, 1161, 1172, 1173, 1174, 1175, 1177, 1179, 1180, 1181, 1188, 1191, 1201, 1202, 1203, 1204, 1206, 1210, 1211, 1213, 1214, 1215, 1216, 1231, 1239, 1247, 1248, 1286, 1294, 1309, 1313, 1323, 1404, 1406, 1408, 1409, 1415, 1417, 1420, 1421, 1422, 1424, 1434], "endpoint": [6, 113, 117, 213, 222, 296, 298, 316, 332, 473, 474, 475, 476, 477, 580, 586, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 699, 1201, 1284, 1285], "true": [6, 7, 10, 13, 14, 15, 16, 17, 20, 25, 26, 27, 28, 35, 37, 39, 42, 45, 46, 47, 56, 57, 63, 67, 68, 75, 83, 84, 85, 90, 102, 103, 116, 133, 146, 147, 148, 149, 150, 151, 158, 166, 169, 172, 173, 174, 175, 177, 179, 185, 190, 197, 205, 209, 233, 238, 239, 243, 244, 246, 250, 251, 255, 256, 259, 266, 267, 268, 269, 273, 276, 285, 286, 287, 288, 289, 295, 296, 297, 298, 299, 300, 302, 303, 306, 307, 308, 309, 310, 315, 316, 323, 325, 326, 327, 328, 329, 332, 345, 352, 357, 359, 363, 364, 377, 389, 391, 392, 394, 395, 396, 397, 398, 399, 400, 401, 407, 408, 409, 413, 414, 417, 418, 420, 422, 423, 424, 430, 441, 456, 464, 465, 466, 469, 471, 478, 481, 482, 492, 493, 494, 495, 496, 500, 501, 503, 504, 505, 508, 509, 510, 511, 512, 515, 516, 517, 518, 519, 520, 522, 523, 524, 527, 530, 533, 534, 536, 537, 540, 543, 544, 546, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 564, 566, 580, 581, 582, 583, 585, 586, 587, 588, 589, 590, 593, 594, 602, 607, 609, 610, 612, 613, 615, 616, 618, 619, 625, 627, 636, 642, 665, 673, 674, 675, 676, 681, 683, 685, 687, 692, 698, 700, 701, 702, 706, 710, 721, 725, 726, 727, 728, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 748, 755, 762, 763, 764, 791, 793, 798, 850, 858, 864, 867, 869, 870, 872, 875, 880, 887, 893, 895, 903, 909, 912, 914, 915, 918, 929, 931, 933, 939, 945, 948, 950, 951, 953, 957, 962, 965, 966, 969, 975, 977, 979, 985, 991, 994, 996, 997, 1001, 1005, 1006, 1039, 1040, 1042, 1043, 1045, 1048, 1060, 1070, 1071, 1072, 1073, 1074, 1075, 1087, 1089, 1091, 1092, 1093, 1094, 1097, 1100, 1101, 1103, 1104, 1119, 1127, 1129, 1139, 1140, 1141, 1142, 1154, 1156, 1160, 1175, 1179, 1181, 1185, 1191, 1195, 1198, 1214, 1217, 1218, 1219, 1221, 1223, 1230, 1234, 1236, 1237, 1238, 1276, 1281, 1282, 1284, 1285, 1288, 1301, 1302, 1308, 1313, 1315, 1318, 1338, 1341, 1342, 1343, 1345, 1347, 1348, 1349, 1350, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1368, 1369, 1370, 1385, 1386, 1387, 1388, 1395, 1402, 1403, 1406, 1407, 1411, 1413, 1415, 1422, 1423, 1425, 1426, 1434, 1436], "commun": [6, 66, 93, 94, 95, 100, 104, 106, 108, 110, 211, 332, 333, 348, 349, 360, 375, 376, 377, 378, 380, 381, 382, 383, 385, 386, 387, 388, 389, 391, 392, 396, 570, 574, 576, 595, 760, 788, 1171, 1175, 1176, 1177, 1205, 1208, 1275, 1286, 1293, 1294, 1298, 1302, 1331, 1408, 1409, 1411, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1434, 1436], "structur": [6, 10, 66, 89, 102, 103, 108, 110, 111, 113, 126, 129, 160, 166, 170, 191, 200, 201, 203, 205, 208, 221, 233, 242, 245, 250, 264, 275, 278, 314, 360, 376, 378, 380, 382, 383, 385, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 440, 452, 456, 457, 568, 617, 621, 678, 689, 690, 691, 760, 765, 777, 788, 793, 798, 860, 864, 881, 889, 890, 892, 893, 894, 905, 909, 927, 928, 929, 930, 933, 941, 945, 949, 963, 971, 972, 974, 975, 976, 979, 987, 991, 995, 1010, 1011, 1012, 1013, 1015, 1016, 1021, 1040, 1041, 1042, 1043, 1094, 1100, 1105, 1161, 1181, 1241, 1261, 1275, 1278, 1293, 1294, 1298, 1302, 1329, 1331, 1347, 1348, 1350, 1351, 1354, 1356, 1389, 1390, 1391, 1402, 1413, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "lpc": 6, "label_propagation_commun": [6, 387, 1422, 1426], "community_index": 6, "com": [6, 26, 46, 94, 107, 111, 112, 250, 316, 317, 318, 323, 325, 326, 332, 357, 358, 411, 429, 430, 453, 478, 479, 480, 481, 620, 662, 669, 690, 695, 753, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263, 1268, 1402, 1415, 1422], "enumer": [6, 10, 22, 37, 39, 56, 58, 62, 65, 68, 102, 286, 455, 457, 467, 547, 620, 707, 763, 1141, 1329, 1404, 1411, 1431], "subplot": [6, 7, 10, 16, 26, 27, 28, 33, 39, 41, 44, 51, 56, 58, 62, 71, 84, 1141, 1332, 1436], "figsiz": [6, 8, 17, 26, 28, 35, 37, 39, 40, 51, 56, 58, 69, 71, 81, 82, 83, 85], "15": [6, 7, 9, 27, 45, 65, 67, 71, 83, 85, 111, 152, 227, 230, 231, 232, 348, 385, 386, 423, 692, 855, 900, 936, 982, 1041, 1064, 1069, 1085, 1216, 1265, 1277, 1436], "4572321": 6, "20000": [6, 69], "draw_networkx": [6, 8, 10, 16, 22, 45, 62, 71, 83, 98, 1136, 1137, 1138, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1416, 1421, 1422, 1436], "with_label": [6, 7, 10, 13, 16, 20, 25, 30, 31, 33, 35, 37, 41, 42, 45, 46, 67, 68, 71, 81, 82, 83, 85, 1139, 1387, 1388, 1402, 1415, 1436], "gainsboro": 6, "titl": [6, 7, 8, 10, 16, 17, 26, 41, 71, 100, 105, 107, 1136, 1139, 1420], "legend": [6, 26, 1139, 1141, 1143], "font": [6, 26, 1139, 1140, 1142, 1422], "fontweight": [6, 26, 71], "bold": [6, 26, 71, 72, 92, 1436], "fontsiz": [6, 26, 71], "set_titl": [6, 26, 28, 51, 56, 58, 62, 83, 84], "network": [6, 7, 11, 12, 14, 16, 20, 27, 31, 46, 47, 51, 53, 54, 56, 57, 66, 67, 71, 83, 87, 102, 104, 106, 108, 110, 113, 129, 133, 233, 237, 240, 241, 242, 245, 249, 258, 259, 260, 261, 262, 263, 264, 275, 276, 281, 285, 286, 287, 289, 290, 291, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 315, 316, 323, 324, 325, 326, 327, 328, 329, 331, 332, 333, 334, 335, 339, 344, 357, 358, 359, 360, 373, 374, 378, 379, 380, 381, 382, 383, 385, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 433, 434, 435, 436, 439, 440, 451, 487, 488, 489, 496, 497, 500, 501, 502, 504, 505, 508, 509, 510, 511, 512, 521, 522, 523, 569, 571, 572, 573, 576, 595, 621, 627, 672, 677, 682, 683, 684, 685, 686, 690, 693, 751, 753, 754, 760, 784, 1045, 1112, 1120, 1172, 1173, 1179, 1181, 1185, 1188, 1189, 1190, 1193, 1207, 1208, 1228, 1229, 1231, 1233, 1235, 1236, 1239, 1240, 1247, 1261, 1271, 1272, 1274, 1275, 1286, 1288, 1293, 1294, 1298, 1331, 1332, 1334, 1347, 1348, 1350, 1379, 1381, 1382, 1387, 1389, 1390, 1392, 1397, 1404, 1411, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "elegan": 6, "chang": [6, 26, 94, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 112, 145, 153, 157, 158, 159, 166, 196, 200, 203, 205, 231, 232, 300, 312, 375, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 466, 467, 468, 498, 504, 505, 508, 509, 510, 585, 587, 589, 599, 603, 606, 635, 654, 678, 753, 782, 798, 856, 857, 858, 859, 864, 886, 889, 892, 893, 901, 902, 903, 904, 909, 925, 927, 928, 929, 937, 938, 939, 940, 945, 968, 971, 974, 975, 983, 984, 985, 986, 991, 1008, 1010, 1011, 1012, 1040, 1041, 1042, 1043, 1045, 1064, 1066, 1069, 1085, 1120, 1141, 1223, 1301, 1332, 1365, 1366, 1407, 1408, 1412, 1413, 1414, 1424, 1426, 1429, 1431, 1432, 1436], "text": [6, 26, 69, 71, 94, 96, 100, 111, 620, 621, 1045, 1127, 1128, 1129, 1139, 1140, 1142, 1152, 1331, 1332, 1340, 1347, 1350, 1361, 1364, 1378, 1387, 1388, 1392, 1395, 1398, 1415, 1436], "80": [6, 26, 40, 454, 455, 516, 520, 1228, 1257, 1262], "horizontalalign": [6, 26, 71, 1140, 1142], "center": [6, 20, 25, 26, 40, 44, 71, 85, 92, 472, 476, 608, 754, 760, 1045, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1140, 1142, 1166, 1169, 1195, 1246, 1404, 1405, 1413, 1414, 1415, 1434], "transform": [6, 26, 27, 35, 333, 492, 661, 673, 674, 675, 676, 1275, 1302], "transax": [6, 26], "fontdict": [6, 26], "06": [6, 26, 48, 100, 101, 312, 314, 325, 348, 349, 568], "size": [6, 7, 11, 13, 26, 27, 28, 29, 35, 69, 84, 113, 153, 157, 158, 159, 186, 196, 211, 212, 213, 218, 219, 222, 227, 249, 258, 259, 289, 300, 332, 333, 342, 347, 348, 350, 355, 368, 372, 378, 382, 429, 430, 443, 444, 445, 446, 447, 448, 449, 513, 514, 548, 549, 550, 576, 672, 690, 694, 856, 857, 858, 859, 876, 886, 901, 902, 903, 904, 919, 925, 937, 938, 939, 940, 958, 968, 983, 984, 985, 986, 1002, 1008, 1044, 1103, 1115, 1116, 1120, 1127, 1129, 1139, 1140, 1141, 1142, 1143, 1152, 1156, 1157, 1168, 1171, 1172, 1173, 1174, 1176, 1177, 1178, 1179, 1180, 1183, 1194, 1205, 1210, 1213, 1218, 1221, 1228, 1240, 1332, 1350, 1404, 1417, 1421, 1422, 1423], "resiz": [6, 26], "readabl": [6, 26, 95, 108, 110, 170, 173, 462, 870, 915, 951, 997, 1402, 1423, 1434], "margin": [6, 22, 26, 33, 34, 46, 47, 83, 95, 1141, 1143, 1420, 1422], "05": [6, 18, 26, 40, 53, 60, 86, 297, 302, 303, 304, 309, 310, 324, 348, 349, 558, 559, 560, 1179, 1192], "axi": [6, 7, 8, 17, 22, 26, 27, 34, 36, 37, 40, 47, 51, 55, 56, 58, 59, 82, 1115, 1136, 1139, 1140, 1142, 1143, 1218], "657": [6, 18], "plot_betweenness_centr": [6, 18], "block": [7, 107, 379, 388, 445, 456, 588, 590, 760, 1048, 1179, 1291, 1302, 1306, 1418, 1420], "model": [7, 31, 53, 57, 63, 65, 67, 101, 106, 111, 133, 273, 275, 285, 302, 303, 309, 310, 381, 437, 438, 456, 464, 595, 627, 788, 1171, 1175, 1179, 1181, 1183, 1185, 1191, 1193, 1194, 1199, 1202, 1203, 1204, 1205, 1208, 1210, 1211, 1228, 1230, 1232, 1233, 1234, 1235, 1237, 1238, 1239, 1240, 1273, 1288, 1293, 1294, 1390, 1404, 1407, 1415, 1417, 1418, 1419, 1420, 1422], "quotient_graph": [7, 586, 587, 589, 760, 1179, 1417, 1422, 1431], "hartford": 7, "ct": 7, "drug": 7, "user": [7, 25, 93, 94, 95, 96, 98, 100, 102, 103, 104, 105, 106, 108, 110, 112, 116, 134, 180, 242, 286, 385, 621, 693, 798, 1040, 1042, 1043, 1046, 1101, 1102, 1160, 1302, 1326, 1327, 1332, 1334, 1337, 1340, 1350, 1357, 1358, 1359, 1360, 1365, 1367, 1368, 1369, 1383, 1384, 1385, 1386, 1403, 1404, 1408, 1414, 1417, 1422, 1423, 1434], "articl": [7, 94, 122, 250, 331, 359, 411, 425, 427, 453, 590, 620, 708, 709, 710, 712, 713, 714, 715, 716, 717, 784, 1220, 1422], "weeks2002soci": 7, "social": [7, 9, 12, 66, 71, 95, 111, 221, 258, 259, 260, 261, 262, 263, 287, 289, 290, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 316, 323, 324, 331, 381, 429, 439, 569, 572, 573, 595, 690, 788, 1179, 1261, 1271, 1272, 1275, 1331], "high": [7, 55, 58, 59, 105, 297, 306, 430, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 692, 693, 788, 1044, 1186, 1229, 1233, 1248, 1414], "risk": 7, "site": [7, 26, 85, 316, 332, 1402, 1415], "url": [7, 27, 66, 94, 100, 103, 105, 793, 1351, 1354, 1355, 1356, 1421, 1422, 1425, 1430], "doi": [7, 53, 56, 94, 111, 113, 129, 211, 212, 214, 221, 227, 232, 258, 259, 260, 275, 279, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 323, 324, 328, 329, 331, 339, 340, 347, 348, 349, 364, 378, 382, 387, 389, 391, 392, 396, 429, 430, 433, 436, 440, 443, 447, 448, 454, 455, 457, 487, 488, 489, 496, 500, 516, 521, 547, 566, 570, 571, 574, 576, 579, 608, 616, 618, 672, 677, 684, 686, 695, 731, 733, 754, 762, 763, 1187, 1194, 1222, 1239, 1241, 1245, 1261, 1326, 1327, 1422], "1023": 7, "1015457400897": 7, "author": [7, 92, 95, 100, 101, 102, 103, 104, 105, 216, 459, 566, 571, 765, 1171, 1398], "week": [7, 101, 106, 1425], "margaret": 7, "clair": 7, "scott": [7, 92, 109, 258, 259, 260, 287, 289, 437, 438, 1416, 1419], "borgatti": [7, 258, 259, 260, 287, 289, 316, 317, 318, 332, 690], "stephen": [7, 338, 344], "p": [7, 11, 14, 20, 40, 64, 65, 68, 69, 77, 84, 92, 103, 224, 231, 232, 242, 245, 258, 259, 260, 275, 276, 287, 289, 301, 316, 317, 318, 325, 326, 332, 354, 357, 358, 443, 447, 448, 455, 459, 464, 472, 476, 498, 510, 547, 557, 569, 570, 571, 572, 573, 574, 575, 576, 579, 607, 609, 612, 613, 618, 620, 621, 634, 637, 638, 721, 722, 735, 763, 764, 1123, 1130, 1132, 1134, 1175, 1176, 1177, 1179, 1188, 1189, 1190, 1193, 1194, 1196, 1198, 1200, 1201, 1202, 1203, 1204, 1205, 1209, 1211, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1247, 1289, 1290, 1293, 1325, 1404, 1415, 1418, 1419, 1422, 1429, 1436], "radda": 7, "kim": [7, 328, 683, 685, 1187, 1240, 1245, 1419, 1421], "schensul": 7, "jean": [7, 92, 275, 343, 673, 674, 675, 676, 1418, 1420], "j": [7, 16, 26, 27, 45, 53, 66, 68, 72, 100, 107, 111, 113, 129, 133, 221, 237, 240, 241, 242, 245, 249, 258, 259, 260, 275, 283, 285, 287, 289, 291, 298, 299, 301, 302, 303, 307, 308, 309, 310, 312, 313, 314, 317, 325, 326, 328, 334, 338, 339, 340, 345, 347, 348, 349, 357, 358, 359, 360, 364, 373, 382, 383, 385, 387, 389, 391, 392, 396, 429, 436, 440, 453, 455, 459, 464, 481, 483, 484, 490, 492, 502, 515, 516, 517, 519, 520, 521, 569, 572, 573, 575, 593, 594, 620, 621, 627, 631, 672, 677, 678, 686, 692, 693, 695, 721, 722, 735, 762, 772, 793, 1101, 1102, 1104, 1105, 1106, 1108, 1149, 1150, 1172, 1173, 1181, 1183, 1184, 1186, 1192, 1201, 1205, 1209, 1210, 1211, 1223, 1228, 1231, 1239, 1240, 1247, 1257, 1287, 1293, 1294, 1298, 1326, 1327, 1355, 1393, 1420], "journal": [7, 67, 218, 250, 279, 298, 299, 307, 308, 312, 313, 315, 316, 317, 318, 328, 329, 331, 332, 379, 407, 408, 425, 427, 429, 454, 455, 513, 514, 547, 566, 579, 620, 686, 689, 691, 722, 731, 733, 740, 763, 1186, 1194, 1208, 1215, 1241, 1273, 1277, 1292, 1329], "aid": [7, 72, 754, 1302, 1408], "behavior": [7, 96, 102, 104, 328, 487, 488, 489, 577, 700, 701, 1117, 1235, 1334, 1402, 1411, 1416, 1421, 1422, 1423, 1425, 1429, 1432, 1434, 1436], "volum": [7, 111, 348, 349, 359, 388, 414, 433, 444, 449, 457, 490, 492, 500, 521, 618, 655, 760, 1170, 1175, 1176, 1177, 1187, 1196, 1232, 1272, 1292, 1329], "6": [7, 8, 9, 10, 11, 12, 13, 15, 20, 22, 33, 34, 35, 36, 39, 42, 44, 45, 47, 50, 51, 56, 63, 64, 65, 66, 67, 69, 78, 81, 83, 84, 90, 94, 102, 103, 116, 126, 129, 199, 233, 251, 301, 304, 312, 313, 314, 324, 325, 333, 334, 335, 339, 341, 342, 344, 345, 348, 349, 358, 362, 373, 374, 376, 378, 382, 385, 387, 393, 402, 404, 405, 412, 413, 414, 416, 418, 419, 420, 421, 425, 426, 427, 428, 429, 430, 440, 457, 464, 481, 498, 503, 506, 507, 510, 513, 514, 515, 519, 520, 521, 557, 582, 583, 588, 590, 602, 610, 620, 621, 632, 673, 676, 682, 692, 697, 707, 708, 709, 710, 711, 730, 732, 749, 750, 752, 753, 754, 763, 777, 888, 926, 970, 1009, 1039, 1041, 1045, 1073, 1091, 1103, 1154, 1184, 1185, 1186, 1200, 1205, 1212, 1218, 1230, 1234, 1238, 1248, 1250, 1256, 1258, 1261, 1263, 1267, 1268, 1277, 1279, 1293, 1302, 1329, 1337, 1341, 1369, 1370, 1375, 1376, 1388, 1404, 1411, 1412, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1432, 1436], "page": [7, 101, 106, 107, 250, 348, 349, 385, 387, 457, 568, 693, 1161, 1170, 1177, 1272, 1326, 1327, 1329, 1332, 1390, 1422, 1436], "193": [7, 1416], "206": [7, 62, 73], "year": [7, 108, 1403, 1414, 1416, 1421, 1422, 1423, 1434], "2002": [7, 66, 111, 129, 411, 678, 683, 685, 762, 1185, 1240, 1416], "publish": [7, 94, 98, 106, 107, 133, 298, 348, 349, 695, 734, 762, 1423], "springer": [7, 111, 210, 212, 213, 218, 220, 297, 302, 303, 304, 309, 310, 324, 325, 326, 414, 433, 453, 481, 522, 523, 610, 753, 1046, 1209, 1325, 1326, 1327], "collect": [7, 9, 17, 26, 29, 92, 95, 98, 100, 106, 145, 152, 193, 208, 233, 443, 444, 445, 446, 447, 448, 449, 450, 451, 462, 467, 547, 580, 754, 798, 855, 883, 894, 900, 922, 930, 936, 965, 976, 982, 1005, 1013, 1040, 1042, 1043, 1048, 1049, 1141, 1143, 1212, 1231, 1247, 1309, 1332, 1422, 1426, 1436], "defaultdict": [7, 462], "scipi": [7, 55, 93, 94, 108, 110, 112, 245, 281, 283, 284, 313, 617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1100, 1104, 1108, 1114, 1118, 1199, 1200, 1202, 1203, 1204, 1241, 1285, 1286, 1287, 1288, 1291, 1292, 1331, 1395, 1407, 1411, 1415, 1416, 1421, 1422, 1423, 1425, 1429, 1434], "cluster": [7, 64, 214, 261, 263, 264, 357, 360, 364, 384, 576, 684, 686, 760, 784, 788, 1118, 1174, 1228, 1240, 1286, 1296, 1331, 1332, 1403, 1407, 1408, 1415, 1418, 1422, 1428, 1436], "hierarchi": [7, 315, 329, 521, 627, 760, 1331, 1409, 1415], "spatial": [7, 53, 54, 55, 56, 57, 87, 116, 1200], "distanc": [7, 35, 39, 45, 58, 226, 227, 228, 229, 230, 231, 232, 259, 264, 298, 299, 300, 307, 308, 316, 317, 321, 323, 328, 331, 332, 337, 467, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 487, 488, 489, 510, 514, 571, 610, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 683, 688, 707, 711, 753, 754, 755, 760, 782, 1111, 1120, 1151, 1191, 1195, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1252, 1264, 1329, 1331, 1407, 1415, 1416, 1417, 1420, 1425, 1426, 1429, 1430, 1434], "create_hc": 7, "hierarch": [7, 221, 429, 444, 449, 450, 1159, 1390, 1391], "matrix": [7, 9, 15, 44, 56, 237, 238, 239, 242, 243, 244, 246, 281, 283, 284, 297, 301, 302, 303, 304, 309, 310, 312, 313, 314, 324, 325, 326, 327, 334, 335, 373, 374, 387, 478, 521, 567, 568, 595, 631, 678, 683, 760, 777, 798, 1040, 1042, 1101, 1102, 1104, 1105, 1106, 1108, 1179, 1197, 1216, 1223, 1226, 1275, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1326, 1327, 1331, 1392, 1404, 1406, 1408, 1409, 1410, 1414, 1415, 1416, 1420, 1421, 1422, 1423, 1434], "path_length": [7, 672, 677], "all_pairs_shortest_path_length": [7, 630, 632, 638, 661], "zero": [7, 290, 294, 295, 298, 299, 301, 307, 308, 312, 316, 317, 331, 332, 359, 426, 462, 478, 493, 494, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 524, 525, 526, 567, 568, 569, 576, 588, 617, 634, 635, 681, 731, 761, 1071, 1103, 1105, 1106, 1110, 1151, 1160, 1194, 1242, 1246, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1288, 1289, 1290, 1415, 1416, 1421, 1422, 1426], "item": [7, 16, 17, 26, 27, 68, 71, 89, 102, 108, 157, 160, 185, 191, 200, 201, 208, 246, 312, 325, 326, 327, 333, 359, 376, 424, 462, 483, 484, 654, 658, 660, 690, 751, 798, 857, 860, 875, 881, 889, 890, 894, 902, 905, 918, 927, 930, 938, 941, 957, 963, 971, 972, 976, 984, 987, 1001, 1010, 1013, 1031, 1040, 1041, 1042, 1043, 1097, 1103, 1123, 1132, 1142, 1302, 1308, 1309, 1323, 1324, 1332, 1413, 1415, 1420, 1428, 1436], "squareform": 7, "complet": [7, 39, 84, 93, 97, 98, 100, 103, 104, 112, 113, 115, 116, 122, 203, 205, 212, 226, 227, 228, 229, 230, 231, 232, 233, 259, 271, 273, 286, 300, 306, 323, 343, 347, 348, 349, 375, 382, 393, 429, 532, 542, 590, 610, 679, 680, 713, 755, 764, 777, 791, 892, 893, 928, 929, 974, 975, 1011, 1012, 1045, 1046, 1063, 1098, 1112, 1151, 1152, 1154, 1156, 1157, 1163, 1168, 1178, 1213, 1216, 1267, 1326, 1327, 1329, 1402, 1404, 1411, 1415, 1416, 1420, 1421, 1423, 1425, 1434], "hc": 7, "farthest": [7, 218, 467], "linkag": 7, "partit": [7, 17, 116, 209, 223, 224, 270, 271, 272, 274, 275, 276, 277, 377, 379, 382, 383, 384, 385, 387, 388, 393, 431, 444, 445, 449, 450, 496, 502, 508, 588, 590, 721, 725, 726, 727, 728, 735, 754, 760, 1168, 1174, 1175, 1176, 1179, 1214, 1282, 1302, 1411, 1416, 1417, 1422, 1431], "arbitrari": [7, 46, 113, 116, 142, 205, 239, 244, 283, 286, 341, 348, 349, 359, 387, 412, 416, 425, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 561, 562, 617, 620, 621, 627, 754, 798, 852, 893, 897, 933, 975, 979, 1040, 1042, 1043, 1179, 1183, 1199, 1202, 1203, 1204, 1309, 1329, 1330, 1332, 1334, 1336, 1390, 1402, 1404, 1408, 1415, 1416], "illustr": [7, 33, 56, 75, 77, 84, 95, 104, 105, 760, 1261, 1411], "purpos": [7, 68, 87, 97, 99, 101, 105, 111, 311, 466, 788, 1402, 1414], "membership": [7, 101, 181, 284, 873, 916, 954, 998, 1332, 1416], "fcluster": 7, "zip": [7, 14, 39, 41, 55, 58, 59, 66, 71, 84, 87, 90, 102, 153, 502, 762, 856, 901, 937, 983, 1199, 1205, 1301, 1309], "append": [7, 10, 16, 20, 69, 70, 514, 1088, 1089, 1183, 1222, 1278, 1351], "hartford_drug": 7, "edgelist": [7, 21, 36, 41, 42, 45, 47, 85, 103, 267, 268, 269, 736, 738, 760, 1096, 1139, 1141, 1288, 1336, 1342, 1343, 1344, 1345, 1346, 1415, 1420, 1421, 1422, 1423, 1436], "next": [7, 8, 11, 68, 70, 93, 94, 100, 102, 103, 104, 107, 126, 154, 155, 228, 230, 231, 232, 234, 376, 617, 798, 949, 995, 1040, 1042, 1043, 1178, 1246, 1278, 1302, 1309, 1332, 1396, 1411], "life": 7, "easier": [7, 110, 740, 762, 1332, 1334, 1414], "consecut": [7, 231, 232, 389, 391, 392, 396, 597, 675, 676, 1074, 1300], "integ": [7, 11, 104, 143, 144, 167, 209, 211, 214, 215, 216, 217, 218, 223, 224, 228, 231, 232, 239, 244, 271, 272, 273, 275, 276, 284, 286, 297, 298, 307, 312, 313, 325, 339, 354, 370, 375, 379, 380, 382, 383, 384, 393, 404, 405, 406, 412, 413, 414, 415, 420, 421, 422, 423, 424, 427, 428, 430, 431, 440, 462, 464, 466, 473, 474, 475, 476, 477, 479, 480, 481, 496, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 516, 517, 518, 519, 520, 522, 523, 566, 568, 583, 585, 588, 590, 591, 597, 599, 606, 610, 618, 627, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 672, 678, 679, 680, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 731, 740, 741, 749, 798, 865, 910, 936, 946, 948, 962, 982, 992, 994, 1040, 1042, 1043, 1044, 1084, 1101, 1102, 1103, 1104, 1107, 1151, 1154, 1155, 1156, 1157, 1158, 1160, 1162, 1163, 1165, 1166, 1169, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1197, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1217, 1220, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1257, 1275, 1277, 1278, 1279, 1281, 1282, 1283, 1300, 1301, 1305, 1307, 1325, 1329, 1332, 1334, 1339, 1355, 1377, 1395, 1403, 1408, 1415, 1416, 1418, 1420, 1436], "build": [7, 11, 15, 46, 53, 55, 56, 58, 59, 70, 89, 93, 94, 100, 103, 107, 108, 111, 116, 142, 144, 233, 236, 238, 239, 244, 268, 288, 382, 413, 414, 418, 419, 420, 421, 425, 454, 478, 497, 654, 672, 693, 734, 1041, 1069, 1103, 1192, 1202, 1203, 1204, 1275, 1301, 1302, 1332, 1403, 1405, 1415, 1416, 1420, 1421, 1422, 1426], "bm": 7, "relabel": [7, 462, 511, 590, 599, 602, 606, 611, 730, 731, 733, 741, 1123, 1132, 1179, 1300, 1301, 1331, 1348, 1349, 1407, 1415, 1422, 1423, 1431, 1434], "origin": [7, 10, 16, 42, 50, 56, 68, 89, 92, 93, 94, 95, 100, 102, 104, 106, 107, 113, 143, 166, 168, 169, 190, 197, 200, 205, 209, 233, 278, 285, 286, 287, 289, 298, 300, 304, 323, 324, 328, 375, 376, 382, 393, 413, 414, 420, 421, 433, 439, 452, 459, 462, 500, 502, 568, 585, 586, 587, 589, 590, 659, 683, 692, 719, 720, 725, 726, 727, 728, 740, 741, 788, 864, 866, 867, 880, 887, 889, 893, 909, 911, 927, 929, 945, 947, 969, 971, 975, 991, 993, 1010, 1041, 1064, 1069, 1085, 1097, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1171, 1193, 1199, 1221, 1223, 1269, 1276, 1278, 1301, 1302, 1353, 1387, 1402, 1404, 1405, 1413, 1414, 1420, 1422, 1423], "83": [7, 338], "211": 7, "weight": [7, 9, 24, 35, 45, 48, 53, 55, 56, 57, 58, 59, 87, 89, 90, 113, 116, 126, 128, 142, 143, 152, 153, 157, 158, 159, 167, 169, 171, 172, 176, 185, 189, 190, 193, 199, 208, 209, 218, 220, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 236, 240, 241, 242, 243, 244, 245, 248, 253, 266, 267, 268, 269, 281, 283, 284, 285, 286, 287, 289, 291, 296, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 312, 313, 315, 316, 317, 321, 324, 325, 326, 327, 328, 329, 331, 332, 333, 334, 335, 336, 337, 338, 354, 357, 358, 375, 376, 379, 380, 382, 383, 384, 385, 386, 387, 418, 424, 431, 444, 445, 446, 447, 449, 450, 453, 460, 461, 472, 473, 474, 475, 476, 477, 478, 487, 488, 489, 498, 499, 502, 503, 506, 507, 510, 521, 554, 555, 556, 557, 558, 559, 560, 567, 568, 583, 585, 595, 600, 626, 627, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 688, 689, 690, 691, 721, 722, 723, 724, 725, 726, 727, 728, 734, 735, 736, 737, 738, 739, 740, 753, 754, 755, 781, 798, 855, 856, 857, 858, 859, 865, 867, 868, 869, 871, 875, 879, 880, 883, 888, 894, 900, 901, 902, 903, 904, 910, 912, 913, 914, 917, 918, 922, 926, 930, 936, 937, 938, 939, 940, 946, 948, 949, 952, 957, 961, 962, 970, 976, 982, 983, 984, 985, 986, 987, 992, 994, 995, 999, 1001, 1009, 1013, 1040, 1041, 1042, 1043, 1055, 1056, 1057, 1061, 1073, 1075, 1084, 1088, 1094, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1111, 1118, 1120, 1121, 1139, 1140, 1142, 1179, 1191, 1195, 1199, 1204, 1273, 1276, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1323, 1324, 1329, 1332, 1336, 1341, 1342, 1343, 1344, 1345, 1346, 1364, 1376, 1391, 1402, 1404, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1434, 1436], "intern": [7, 44, 102, 104, 218, 297, 298, 302, 303, 304, 309, 310, 316, 323, 324, 332, 348, 349, 377, 381, 414, 428, 433, 440, 570, 574, 595, 621, 672, 673, 674, 675, 676, 677, 678, 692, 734, 1044, 1151, 1302, 1332, 1365, 1366, 1369, 1370, 1371, 1372, 1402, 1403, 1415, 1421, 1422, 1423, 1430, 1434], "nnode": [7, 39, 187, 188, 590, 854, 877, 878, 899, 920, 921, 935, 959, 960, 981, 1003, 1004], "edge_width": [7, 1045], "mean": [7, 8, 55, 58, 96, 100, 101, 102, 103, 104, 108, 110, 133, 165, 211, 214, 292, 357, 380, 452, 453, 491, 498, 506, 507, 510, 514, 522, 523, 524, 525, 526, 563, 564, 565, 588, 621, 684, 693, 705, 706, 719, 732, 755, 764, 788, 1039, 1088, 1089, 1091, 1115, 1120, 1146, 1156, 1174, 1181, 1191, 1202, 1203, 1204, 1221, 1241, 1301, 1313, 1315, 1318, 1332, 1342, 1402, 1414, 1421, 1423, 1436], "posbm": 7, "xy": [7, 246], "212": 7, "551": [7, 18], "plot_blockmodel": [7, 18], "convert": [8, 35, 51, 53, 55, 56, 57, 58, 59, 75, 76, 100, 103, 106, 113, 170, 267, 268, 294, 377, 466, 567, 568, 617, 678, 681, 852, 897, 933, 936, 979, 982, 1041, 1088, 1100, 1101, 1102, 1172, 1173, 1279, 1287, 1302, 1303, 1305, 1307, 1312, 1316, 1331, 1338, 1339, 1342, 1343, 1344, 1348, 1351, 1352, 1353, 1354, 1355, 1356, 1359, 1362, 1363, 1367, 1368, 1369, 1370, 1376, 1377, 1382, 1385, 1412, 1413, 1415, 1418, 1420, 1421, 1422, 1425, 1430, 1436], "formula": [8, 300, 317, 323, 327, 382, 387, 620, 690, 1430], "can": [8, 16, 25, 35, 39, 41, 44, 53, 55, 56, 57, 58, 59, 68, 70, 71, 72, 76, 77, 85, 89, 92, 93, 94, 95, 96, 97, 100, 101, 102, 103, 104, 106, 108, 111, 112, 113, 116, 126, 133, 142, 143, 144, 145, 152, 153, 157, 158, 159, 166, 169, 172, 177, 181, 185, 186, 190, 191, 194, 200, 201, 208, 221, 223, 225, 228, 230, 231, 232, 239, 240, 241, 244, 252, 261, 262, 263, 265, 279, 282, 283, 298, 299, 302, 303, 306, 307, 308, 309, 310, 316, 317, 325, 326, 327, 331, 332, 334, 335, 339, 341, 342, 344, 346, 347, 348, 349, 350, 351, 355, 356, 359, 360, 363, 364, 376, 378, 382, 384, 385, 387, 389, 390, 391, 392, 396, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 429, 441, 442, 451, 456, 458, 460, 462, 463, 466, 467, 468, 473, 474, 475, 476, 477, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 532, 542, 555, 577, 579, 583, 588, 590, 599, 600, 603, 604, 606, 617, 618, 619, 621, 628, 630, 631, 632, 635, 643, 645, 649, 654, 655, 656, 657, 659, 660, 662, 663, 664, 669, 670, 671, 678, 679, 680, 681, 682, 689, 690, 691, 692, 693, 722, 724, 725, 726, 727, 728, 731, 732, 733, 750, 751, 753, 764, 769, 772, 777, 788, 793, 798, 852, 855, 856, 857, 858, 859, 864, 867, 869, 872, 873, 875, 876, 880, 881, 884, 889, 890, 894, 897, 900, 901, 902, 903, 904, 909, 912, 914, 916, 918, 919, 923, 927, 930, 933, 936, 937, 938, 939, 940, 945, 948, 949, 950, 953, 954, 957, 958, 962, 966, 971, 976, 979, 982, 983, 984, 985, 986, 991, 994, 995, 996, 998, 1001, 1002, 1006, 1010, 1013, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1062, 1063, 1064, 1066, 1069, 1071, 1085, 1088, 1091, 1105, 1106, 1108, 1127, 1128, 1129, 1135, 1139, 1141, 1143, 1154, 1157, 1160, 1170, 1171, 1172, 1173, 1180, 1181, 1183, 1199, 1202, 1203, 1204, 1212, 1213, 1223, 1224, 1225, 1228, 1241, 1252, 1254, 1256, 1264, 1269, 1270, 1275, 1278, 1281, 1282, 1284, 1285, 1287, 1288, 1289, 1290, 1301, 1302, 1303, 1305, 1307, 1308, 1309, 1326, 1327, 1329, 1330, 1332, 1334, 1335, 1336, 1339, 1340, 1353, 1355, 1358, 1360, 1362, 1363, 1368, 1369, 1377, 1378, 1384, 1386, 1387, 1388, 1390, 1393, 1395, 1396, 1401, 1402, 1403, 1404, 1405, 1408, 1411, 1413, 1414, 1415, 1417, 1418, 1421, 1434, 1436], "more": [8, 44, 54, 68, 87, 93, 94, 95, 98, 100, 101, 102, 103, 104, 106, 108, 110, 111, 112, 115, 116, 122, 128, 129, 144, 166, 173, 199, 200, 203, 205, 216, 217, 219, 220, 221, 222, 231, 232, 236, 257, 268, 278, 279, 282, 290, 300, 311, 315, 325, 326, 337, 340, 363, 380, 385, 387, 389, 391, 392, 394, 401, 407, 408, 409, 424, 429, 430, 434, 435, 439, 462, 466, 482, 522, 523, 561, 562, 583, 584, 585, 592, 595, 616, 621, 628, 633, 637, 655, 658, 662, 663, 664, 678, 681, 685, 693, 700, 701, 705, 713, 719, 720, 737, 739, 750, 762, 784, 788, 798, 864, 870, 888, 889, 892, 893, 909, 915, 926, 927, 928, 929, 945, 951, 970, 971, 974, 975, 991, 997, 1009, 1010, 1011, 1012, 1040, 1042, 1043, 1045, 1046, 1074, 1097, 1103, 1119, 1122, 1123, 1126, 1136, 1137, 1138, 1139, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1191, 1198, 1199, 1212, 1220, 1223, 1224, 1225, 1278, 1293, 1294, 1301, 1302, 1303, 1329, 1332, 1334, 1343, 1351, 1354, 1355, 1356, 1387, 1398, 1403, 1404, 1406, 1407, 1408, 1410, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "express": [8, 93, 111, 185, 316, 331, 332, 385, 386, 620, 621, 875, 918, 957, 1001, 1205, 1293, 1332], "than": [8, 11, 35, 44, 56, 98, 100, 102, 103, 104, 116, 129, 143, 144, 145, 162, 200, 215, 216, 217, 219, 220, 222, 228, 232, 236, 242, 257, 278, 279, 282, 289, 290, 298, 299, 300, 305, 307, 308, 311, 312, 316, 317, 322, 325, 326, 328, 330, 331, 332, 343, 354, 360, 363, 376, 382, 383, 385, 386, 387, 389, 391, 392, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 427, 428, 431, 437, 466, 470, 471, 502, 529, 539, 561, 562, 583, 584, 585, 592, 627, 628, 637, 638, 654, 655, 658, 660, 661, 675, 678, 680, 681, 683, 685, 688, 692, 694, 695, 696, 700, 701, 713, 733, 737, 739, 750, 754, 763, 788, 889, 927, 949, 971, 995, 1010, 1041, 1045, 1046, 1063, 1105, 1141, 1152, 1160, 1168, 1171, 1173, 1178, 1180, 1191, 1193, 1200, 1204, 1232, 1236, 1237, 1242, 1243, 1244, 1245, 1281, 1282, 1302, 1303, 1332, 1334, 1351, 1354, 1355, 1356, 1359, 1360, 1364, 1371, 1372, 1385, 1390, 1404, 1411, 1413, 1414, 1417, 1422, 1432, 1434], "worst": [8, 211, 212, 213, 222, 229, 236, 265, 294, 295, 340, 347, 348, 349, 442, 515, 517, 518, 519, 520], "reus": [8, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1334, 1411], "subcircuit": 8, "multipl": [8, 11, 26, 41, 46, 78, 94, 95, 100, 104, 108, 110, 144, 158, 159, 167, 176, 189, 196, 208, 288, 312, 359, 387, 388, 425, 445, 449, 460, 462, 466, 487, 488, 489, 596, 597, 599, 617, 618, 643, 645, 680, 692, 693, 699, 707, 740, 764, 788, 798, 858, 859, 865, 871, 879, 886, 894, 903, 904, 910, 925, 930, 939, 940, 946, 948, 952, 961, 962, 965, 966, 968, 976, 985, 986, 992, 994, 1005, 1006, 1008, 1013, 1040, 1042, 1043, 1048, 1049, 1105, 1106, 1108, 1127, 1129, 1133, 1141, 1143, 1222, 1223, 1225, 1291, 1297, 1302, 1304, 1332, 1358, 1384, 1402, 1414, 1415, 1421, 1422, 1426, 1434, 1436], "wherea": [8, 104, 684, 764, 788, 793, 1171, 1426], "cannot": [8, 102, 104, 128, 133, 200, 233, 301, 364, 396, 478, 583, 584, 585, 586, 634, 724, 889, 927, 936, 971, 982, 1010, 1046, 1171, 1214, 1215, 1302, 1304, 1308, 1309, 1332, 1351, 1353, 1354, 1355, 1356], "subformula": 8, "onc": [8, 39, 55, 56, 89, 94, 95, 100, 101, 113, 128, 200, 228, 231, 232, 233, 247, 248, 362, 376, 382, 390, 424, 425, 430, 490, 493, 494, 583, 584, 585, 654, 680, 681, 719, 720, 889, 927, 971, 1010, 1049, 1069, 1090, 1223, 1317, 1332, 1387, 1412, 1416], "thu": [8, 89, 102, 104, 116, 216, 217, 221, 257, 259, 333, 420, 421, 429, 430, 464, 479, 502, 514, 585, 681, 700, 701, 762, 764, 798, 1040, 1042, 1043, 1046, 1090, 1115, 1154, 1221, 1223, 1240, 1284, 1285, 1302, 1334, 1411, 1414, 1416, 1434], "wai": [8, 28, 53, 54, 56, 76, 87, 89, 94, 98, 100, 101, 102, 103, 104, 105, 106, 108, 111, 113, 116, 133, 153, 158, 159, 166, 185, 227, 282, 298, 299, 316, 332, 339, 358, 590, 600, 617, 620, 680, 693, 732, 762, 793, 798, 856, 858, 859, 864, 875, 901, 903, 904, 909, 917, 918, 937, 939, 940, 945, 957, 983, 985, 986, 991, 999, 1001, 1040, 1042, 1043, 1044, 1100, 1171, 1219, 1221, 1223, 1245, 1268, 1275, 1278, 1332, 1334, 1336, 1387, 1402, 1403, 1413, 1415, 1420, 1436], "infeas": [8, 424], "circuit_to_formula": 8, "dag_to_branch": [8, 760, 1417], "transfer": [8, 203, 205, 231, 232, 471, 892, 893, 928, 929, 974, 975, 1011, 1012, 1429], "oper": [8, 31, 53, 96, 102, 113, 116, 169, 185, 190, 228, 376, 425, 462, 548, 549, 550, 554, 555, 556, 579, 597, 600, 603, 673, 674, 675, 676, 681, 682, 760, 788, 867, 875, 880, 912, 918, 948, 957, 962, 994, 1001, 1039, 1071, 1091, 1106, 1170, 1224, 1225, 1301, 1308, 1325, 1329, 1331, 1332, 1402, 1403, 1409, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426], "variabl": [8, 95, 133, 375, 532, 542, 620, 621, 734, 798, 1040, 1041, 1042, 1043, 1045, 1127, 1129, 1160, 1171, 1332, 1417, 1421, 1422, 1423, 1429], "formula_to_str": 8, "_to_str": 8, "root": [8, 68, 85, 294, 295, 340, 389, 391, 392, 396, 451, 462, 561, 579, 611, 673, 675, 680, 706, 730, 732, 741, 762, 793, 1122, 1123, 1131, 1132, 1151, 1153, 1241, 1277, 1278, 1329, 1371, 1372, 1402, 1415, 1416, 1417, 1421, 1422, 1432, 1434], "children": [8, 462, 579, 1151, 1161, 1278, 1371, 1372, 1387], "otherwis": [8, 93, 111, 147, 150, 172, 179, 185, 186, 199, 218, 231, 250, 251, 285, 298, 299, 304, 307, 308, 312, 316, 317, 323, 324, 325, 326, 327, 328, 331, 332, 345, 355, 360, 395, 396, 397, 398, 399, 400, 412, 413, 414, 420, 421, 424, 427, 428, 464, 465, 466, 472, 481, 490, 492, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 523, 557, 564, 565, 570, 574, 576, 586, 588, 590, 599, 603, 618, 620, 621, 635, 665, 675, 689, 690, 691, 698, 700, 701, 736, 737, 738, 739, 753, 850, 869, 875, 876, 888, 895, 914, 918, 919, 926, 931, 936, 950, 957, 958, 970, 977, 982, 996, 1001, 1002, 1009, 1071, 1094, 1127, 1141, 1143, 1171, 1191, 1203, 1223, 1276, 1288, 1289, 1290, 1313, 1315, 1318, 1348, 1362, 1363, 1382, 1387, 1388, 1418, 1422, 1436], "child": [8, 1153, 1278, 1387], "must": [8, 11, 94, 95, 96, 100, 101, 104, 111, 152, 153, 159, 162, 172, 205, 207, 208, 215, 216, 217, 220, 231, 232, 233, 253, 254, 258, 259, 260, 261, 262, 263, 265, 268, 269, 270, 272, 274, 277, 282, 286, 298, 299, 307, 308, 316, 317, 318, 319, 320, 325, 326, 329, 331, 332, 344, 363, 364, 365, 380, 384, 387, 393, 412, 413, 414, 415, 427, 431, 442, 473, 474, 475, 476, 477, 547, 548, 549, 550, 551, 552, 553, 555, 557, 558, 559, 560, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 586, 587, 588, 589, 590, 591, 595, 599, 601, 603, 604, 605, 606, 617, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 682, 692, 694, 700, 701, 709, 723, 736, 737, 738, 739, 791, 798, 855, 856, 859, 869, 893, 894, 900, 901, 904, 914, 930, 936, 940, 975, 976, 982, 986, 1013, 1040, 1041, 1042, 1043, 1066, 1074, 1088, 1105, 1139, 1143, 1152, 1168, 1171, 1179, 1182, 1192, 1194, 1196, 1199, 1203, 1205, 1215, 1219, 1223, 1225, 1241, 1245, 1246, 1276, 1281, 1282, 1283, 1284, 1285, 1301, 1302, 1304, 1313, 1315, 1316, 1317, 1318, 1321, 1339, 1343, 1344, 1345, 1346, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1382, 1402, 1403, 1404, 1416, 1436], "NOT": [8, 111, 200, 551, 552, 553, 750, 889, 927, 971, 1010], "util": [8, 15, 37, 45, 46, 94, 98, 103, 104, 230, 231, 232, 317, 376, 425, 427, 428, 431, 462, 498, 680, 681, 760, 1047, 1127, 1248, 1305, 1307, 1309, 1316, 1325, 1326, 1327, 1331, 1411, 1415, 1416, 1420, 1422, 1425, 1428, 1434], "arbitrary_el": [8, 1401, 1422], "nb": [8, 1337, 1340], "left": [8, 72, 116, 184, 312, 313, 323, 325, 326, 387, 561, 562, 586, 618, 690, 691, 741, 1109, 1140, 1142, 1152, 1185, 1212, 1286, 1361, 1364, 1387, 1413], "right": [8, 72, 111, 112, 116, 153, 207, 323, 327, 387, 429, 430, 502, 561, 562, 586, 587, 589, 590, 617, 618, 690, 691, 741, 856, 937, 983, 1140, 1142, 1152, 1161, 1163, 1185, 1212, 1219, 1221, 1276, 1286, 1387, 1388], "littl": [8, 95, 106, 299, 308], "mislead": 8, "That": [8, 98, 106, 133, 166, 213, 222, 228, 296, 387, 438, 467, 527, 537, 557, 590, 659, 673, 674, 675, 676, 693, 706, 719, 793, 864, 909, 945, 991, 1049, 1168, 1216, 1302, 1396, 1413, 1418], "okai": 8, "becaus": [8, 11, 55, 70, 95, 100, 102, 103, 104, 113, 133, 162, 216, 217, 221, 256, 312, 380, 389, 391, 392, 396, 413, 414, 429, 496, 500, 501, 502, 512, 571, 587, 589, 617, 618, 634, 654, 936, 982, 1041, 1242, 1279, 1302, 1309, 1332, 1351, 1356, 1413, 1416, 1425, 1434], "AND": [8, 111, 600, 750, 764], "OR": [8, 111, 158, 176, 189, 858, 871, 879, 903, 939, 949, 952, 961, 985, 995], "symmetr": [8, 146, 149, 238, 547, 588, 595, 763, 1179, 1198, 1241, 1252, 1256, 1257, 1262, 1264, 1275, 1326, 1327, 1395], "It": [8, 53, 57, 59, 93, 94, 95, 98, 100, 102, 103, 105, 108, 111, 113, 116, 133, 173, 185, 208, 215, 216, 217, 230, 231, 232, 250, 261, 262, 263, 265, 279, 311, 317, 325, 326, 328, 345, 348, 349, 353, 355, 414, 416, 417, 418, 419, 420, 421, 431, 440, 442, 454, 459, 466, 482, 498, 502, 510, 532, 542, 547, 561, 562, 567, 568, 569, 584, 590, 596, 597, 600, 602, 603, 617, 621, 630, 631, 632, 654, 660, 661, 665, 673, 676, 694, 719, 720, 721, 762, 763, 764, 793, 798, 870, 875, 894, 915, 918, 930, 951, 957, 976, 997, 1001, 1013, 1015, 1016, 1021, 1040, 1041, 1042, 1043, 1057, 1120, 1127, 1129, 1176, 1180, 1206, 1207, 1212, 1213, 1216, 1223, 1229, 1233, 1240, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1259, 1260, 1264, 1267, 1269, 1270, 1275, 1281, 1282, 1283, 1286, 1302, 1303, 1329, 1330, 1332, 1334, 1349, 1390, 1391, 1402, 1404, 1407, 1411, 1413, 1416, 1417, 1418, 1420, 1421, 1422, 1436], "just": [8, 100, 103, 104, 105, 106, 185, 200, 340, 376, 441, 466, 561, 562, 579, 662, 663, 664, 694, 793, 875, 889, 918, 927, 948, 957, 962, 971, 994, 1001, 1010, 1045, 1123, 1128, 1132, 1235, 1284, 1285, 1302, 1334, 1402, 1413, 1415], "operand": 8, "predict": [8, 569, 570, 571, 572, 573, 574, 575, 576, 593, 594, 760, 1331, 1411, 1415, 1421], "henc": [8, 169, 190, 523, 867, 880, 912, 948, 962, 994, 1062, 1127, 1128, 1129, 1208, 1391], "doe": [8, 78, 94, 95, 100, 102, 103, 104, 105, 115, 116, 133, 148, 154, 155, 166, 169, 190, 208, 209, 228, 229, 230, 231, 232, 233, 294, 309, 341, 342, 344, 345, 354, 359, 375, 384, 387, 412, 416, 428, 452, 471, 496, 497, 498, 499, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 536, 546, 551, 552, 553, 566, 568, 585, 586, 588, 591, 603, 614, 628, 629, 680, 693, 695, 696, 700, 701, 719, 720, 723, 724, 725, 726, 727, 728, 764, 864, 867, 880, 894, 909, 912, 930, 945, 948, 962, 976, 991, 994, 1013, 1041, 1046, 1069, 1073, 1075, 1084, 1105, 1106, 1108, 1109, 1110, 1112, 1117, 1179, 1181, 1183, 1198, 1213, 1228, 1229, 1233, 1235, 1240, 1247, 1302, 1306, 1309, 1332, 1339, 1340, 1347, 1348, 1350, 1357, 1359, 1360, 1361, 1362, 1363, 1364, 1377, 1385, 1386, 1389, 1391, 1402, 1413, 1414, 1415, 1419, 1426, 1436], "necessarili": [8, 100, 343, 453, 485, 561, 562, 643, 645, 1041, 1225], "behav": [8, 89, 104, 160, 191, 201, 221, 353, 860, 881, 890, 905, 941, 963, 972, 987, 1235, 1302, 1404, 1413], "everi": [8, 11, 58, 89, 94, 110, 113, 121, 145, 158, 162, 178, 212, 213, 221, 222, 230, 231, 232, 236, 244, 265, 288, 296, 301, 325, 326, 345, 354, 382, 399, 439, 441, 442, 452, 464, 473, 474, 475, 476, 477, 479, 485, 486, 493, 514, 518, 567, 608, 616, 617, 621, 634, 635, 637, 638, 665, 687, 689, 690, 719, 720, 793, 858, 903, 939, 985, 1055, 1056, 1057, 1073, 1074, 1075, 1088, 1089, 1105, 1106, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1154, 1168, 1201, 1222, 1223, 1263, 1270, 1284, 1285, 1302, 1416], "left_subformula": 8, "right_subformula": 8, "in_degre": [8, 167, 189, 493, 680, 865, 879, 946, 961, 1183, 1213, 1214, 1413, 1415, 1416, 1436], "ha": [8, 11, 17, 45, 68, 89, 92, 94, 95, 96, 98, 100, 101, 102, 103, 104, 106, 108, 111, 113, 117, 121, 128, 153, 162, 166, 167, 174, 175, 176, 185, 189, 199, 208, 213, 215, 216, 220, 221, 227, 228, 230, 231, 232, 233, 236, 239, 240, 241, 242, 243, 244, 245, 248, 250, 253, 270, 272, 273, 274, 275, 276, 277, 283, 290, 292, 294, 295, 296, 301, 306, 311, 325, 327, 333, 345, 354, 357, 358, 365, 366, 367, 375, 380, 382, 383, 385, 386, 387, 388, 393, 395, 396, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 426, 429, 430, 431, 441, 452, 460, 462, 468, 469, 470, 473, 474, 475, 476, 477, 478, 479, 482, 493, 494, 495, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 524, 566, 568, 579, 580, 583, 592, 595, 607, 609, 612, 613, 624, 625, 626, 630, 631, 632, 634, 635, 636, 637, 638, 640, 648, 649, 651, 654, 659, 660, 684, 690, 692, 694, 699, 713, 719, 720, 731, 732, 733, 741, 751, 788, 793, 856, 864, 865, 871, 875, 879, 888, 894, 901, 909, 910, 918, 926, 930, 937, 945, 946, 950, 952, 957, 961, 970, 976, 983, 991, 992, 996, 1001, 1009, 1013, 1043, 1046, 1048, 1069, 1071, 1073, 1075, 1078, 1083, 1087, 1101, 1102, 1104, 1105, 1106, 1108, 1125, 1136, 1151, 1160, 1166, 1168, 1171, 1182, 1186, 1191, 1199, 1201, 1202, 1203, 1204, 1205, 1213, 1216, 1217, 1221, 1223, 1228, 1240, 1245, 1249, 1250, 1254, 1255, 1260, 1265, 1267, 1270, 1273, 1275, 1276, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1302, 1306, 1332, 1334, 1336, 1339, 1340, 1359, 1360, 1377, 1378, 1385, 1387, 1390, 1402, 1403, 1404, 1407, 1412, 1413, 1414, 1415, 1416, 1418, 1422, 1423, 1425, 1432, 1434], "output": [8, 14, 17, 90, 94, 102, 103, 104, 110, 198, 288, 289, 347, 376, 382, 496, 500, 501, 511, 512, 577, 590, 679, 680, 693, 724, 1048, 1199, 1203, 1205, 1275, 1302, 1332, 1340, 1347, 1350, 1361, 1364, 1388, 1408, 1411, 1413, 1415, 1420, 1422, 1423, 1435, 1436], "two": [8, 11, 13, 17, 28, 35, 39, 44, 55, 56, 58, 59, 66, 68, 72, 89, 94, 96, 100, 101, 103, 106, 110, 113, 115, 116, 121, 133, 152, 172, 176, 185, 186, 189, 203, 208, 212, 213, 214, 215, 216, 217, 218, 221, 222, 227, 228, 231, 232, 233, 246, 250, 252, 253, 254, 258, 259, 261, 262, 263, 266, 270, 271, 272, 273, 274, 275, 276, 277, 283, 286, 287, 288, 290, 306, 312, 316, 317, 323, 328, 331, 332, 339, 343, 345, 347, 353, 354, 360, 361, 379, 382, 383, 385, 393, 413, 414, 421, 425, 430, 431, 432, 433, 444, 445, 446, 447, 449, 454, 455, 456, 459, 464, 473, 474, 475, 476, 477, 478, 482, 493, 496, 500, 501, 502, 504, 505, 508, 510, 511, 512, 513, 523, 547, 551, 552, 553, 557, 561, 562, 563, 564, 565, 566, 567, 568, 570, 571, 574, 576, 580, 586, 587, 588, 589, 590, 595, 600, 607, 609, 610, 612, 613, 617, 621, 628, 629, 631, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 682, 694, 696, 733, 734, 740, 741, 762, 763, 764, 782, 788, 793, 798, 855, 869, 871, 875, 876, 879, 892, 894, 900, 914, 918, 919, 928, 930, 936, 948, 950, 952, 957, 958, 961, 962, 974, 976, 982, 994, 996, 1001, 1002, 1011, 1013, 1022, 1023, 1024, 1025, 1039, 1040, 1042, 1043, 1059, 1087, 1091, 1101, 1103, 1104, 1109, 1110, 1111, 1112, 1117, 1119, 1140, 1152, 1153, 1155, 1157, 1158, 1162, 1180, 1191, 1192, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1210, 1213, 1216, 1217, 1221, 1223, 1224, 1249, 1250, 1259, 1277, 1278, 1281, 1282, 1300, 1301, 1302, 1329, 1330, 1332, 1334, 1365, 1366, 1369, 1402, 1403, 1404, 1406, 1411, 1413, 1414, 1415, 1416, 1419, 1420, 1422, 1434], "layer": [8, 37, 56, 62, 68, 104, 440, 707, 1041, 1112, 1429], "third": [8, 103, 106, 115, 250, 424, 469, 587, 589, 736, 738, 1223, 1232, 1268, 1269, 1332, 1416], "appear": [8, 84, 94, 96, 100, 101, 103, 180, 205, 231, 232, 239, 244, 247, 248, 278, 365, 366, 367, 380, 453, 454, 455, 457, 468, 472, 586, 587, 589, 590, 677, 681, 709, 732, 736, 738, 893, 975, 1039, 1045, 1091, 1105, 1142, 1156, 1158, 1160, 1163, 1165, 1193, 1194, 1283, 1288, 1329, 1330, 1351, 1354, 1355, 1356, 1390, 1416, 1422, 1423], "both": [8, 53, 56, 93, 94, 95, 101, 102, 103, 104, 116, 162, 165, 205, 215, 216, 217, 218, 241, 258, 259, 260, 265, 283, 287, 288, 290, 339, 360, 381, 385, 417, 419, 420, 421, 425, 429, 442, 472, 504, 508, 547, 577, 583, 600, 602, 603, 604, 605, 606, 607, 608, 609, 612, 613, 617, 623, 637, 638, 655, 656, 657, 678, 713, 722, 762, 763, 764, 784, 893, 975, 1023, 1039, 1069, 1078, 1083, 1087, 1091, 1100, 1123, 1132, 1150, 1171, 1195, 1198, 1205, 1213, 1216, 1217, 1219, 1221, 1288, 1302, 1332, 1334, 1364, 1369, 1370, 1395, 1402, 1404, 1411, 1422, 1425, 1426, 1434, 1436], "negat": 8, "sole": [8, 788, 1284, 1285, 1332], "fourth": [8, 231, 232, 1332, 1413], "digraph": [8, 10, 11, 17, 22, 26, 42, 46, 57, 62, 68, 70, 71, 83, 89, 102, 103, 116, 133, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 169, 171, 172, 173, 176, 177, 186, 187, 188, 189, 190, 193, 194, 195, 196, 197, 199, 200, 203, 205, 208, 209, 217, 228, 230, 231, 232, 241, 247, 248, 300, 309, 315, 319, 320, 322, 329, 330, 336, 337, 338, 339, 341, 342, 344, 345, 390, 393, 395, 398, 399, 400, 401, 403, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 432, 433, 439, 452, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 483, 484, 494, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 515, 516, 520, 521, 525, 557, 568, 577, 578, 579, 590, 592, 615, 617, 625, 632, 638, 645, 646, 654, 658, 659, 660, 661, 665, 680, 690, 692, 695, 698, 699, 700, 701, 702, 703, 704, 708, 709, 710, 711, 713, 718, 719, 720, 721, 723, 724, 725, 726, 727, 728, 742, 743, 746, 747, 748, 749, 750, 751, 752, 754, 762, 791, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 915, 917, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 937, 938, 939, 940, 942, 943, 944, 945, 951, 959, 960, 966, 967, 968, 969, 970, 971, 975, 976, 977, 978, 980, 981, 983, 984, 985, 986, 988, 989, 990, 991, 992, 997, 999, 1003, 1004, 1006, 1007, 1008, 1009, 1010, 1013, 1038, 1040, 1041, 1042, 1043, 1044, 1045, 1055, 1065, 1069, 1073, 1075, 1078, 1083, 1086, 1087, 1101, 1102, 1104, 1121, 1141, 1156, 1160, 1174, 1175, 1176, 1179, 1183, 1184, 1186, 1188, 1189, 1190, 1191, 1195, 1223, 1276, 1278, 1279, 1280, 1289, 1290, 1293, 1296, 1298, 1304, 1329, 1332, 1339, 1343, 1348, 1362, 1363, 1368, 1371, 1372, 1377, 1387, 1388, 1402, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1433, 1434, 1436], "add_nod": [8, 11, 27, 35, 70, 75, 90, 103, 158, 185, 247, 341, 342, 400, 424, 493, 494, 498, 506, 507, 510, 524, 525, 607, 609, 612, 613, 693, 798, 858, 875, 903, 918, 939, 957, 985, 1001, 1040, 1042, 1043, 1089, 1281, 1332, 1351, 1416, 1417, 1426, 1436], "get_node_attribut": [8, 40, 45, 72, 1219, 1413], "600": [8, 10, 12], "font_siz": [8, 17, 22, 26, 33, 36, 39, 46, 47, 1139, 1140, 1142], "22": [8, 36, 65, 67, 327, 348, 385, 386, 1277, 1329, 1412, 1417, 1421, 1431], "multipartite_layout": [8, 37, 62, 68, 1421, 1423, 1429], "subset_kei": [8, 37, 62, 68, 1112], "equal": [8, 37, 82, 145, 215, 216, 217, 231, 232, 239, 270, 272, 274, 277, 289, 298, 299, 301, 304, 307, 308, 311, 312, 313, 316, 317, 321, 324, 325, 326, 331, 332, 333, 375, 412, 413, 414, 415, 420, 421, 430, 473, 476, 478, 493, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 527, 537, 547, 554, 555, 556, 557, 570, 574, 607, 625, 659, 673, 674, 675, 676, 689, 690, 691, 692, 723, 724, 742, 743, 755, 763, 793, 1115, 1119, 1168, 1171, 1204, 1210, 1236, 1245, 1277, 1286, 1297, 1313, 1315, 1318, 1407, 1408], "165": [8, 18], "plot_circuit": [8, 18], "southern": [9, 1271], "women": [9, 1271, 1407, 1415], "unipartit": [9, 116, 259, 260, 360], "properti": [9, 11, 19, 23, 34, 64, 87, 102, 103, 104, 113, 135, 160, 162, 167, 169, 176, 177, 180, 185, 189, 190, 191, 201, 285, 286, 287, 288, 289, 327, 365, 366, 367, 390, 478, 502, 547, 571, 621, 687, 860, 865, 867, 871, 872, 875, 879, 880, 881, 890, 905, 910, 912, 918, 941, 946, 948, 952, 953, 957, 961, 962, 963, 972, 987, 992, 994, 1001, 1088, 1089, 1125, 1140, 1142, 1199, 1208, 1223, 1225, 1275, 1289, 1290, 1332, 1334, 1391, 1407, 1414, 1415, 1416, 1417, 1422, 1426, 1436], "These": [9, 53, 59, 74, 80, 87, 94, 95, 106, 338, 387, 496, 514, 561, 673, 675, 734, 750, 781, 788, 1041, 1048, 1050, 1329, 1332, 1393, 1395, 1401, 1403, 1404, 1406, 1408, 1413, 1414, 1420, 1436], "were": [9, 66, 89, 100, 102, 105, 216, 217, 221, 290, 306, 412, 439, 462, 590, 965, 1005, 1205, 1402, 1404, 1408, 1411, 1414, 1415, 1416, 1422, 1425], "et": [9, 211, 227, 228, 316, 317, 323, 332, 336, 339, 347, 354, 360, 375, 382, 383, 425, 427, 428, 453, 571, 593, 594, 683, 684, 686, 695, 1208], "al": [9, 211, 227, 228, 316, 317, 323, 332, 336, 339, 347, 354, 360, 375, 382, 383, 425, 427, 428, 453, 571, 593, 594, 683, 684, 686, 695, 1208, 1416, 1422], "1930": [9, 1405], "thei": [9, 55, 59, 66, 72, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 133, 152, 166, 208, 214, 221, 250, 286, 288, 289, 297, 298, 299, 302, 303, 307, 308, 309, 310, 353, 364, 376, 393, 398, 429, 453, 454, 455, 456, 466, 467, 473, 474, 475, 476, 477, 498, 506, 507, 510, 514, 548, 549, 550, 561, 562, 578, 585, 588, 590, 602, 606, 677, 678, 706, 719, 752, 762, 788, 855, 864, 894, 900, 909, 930, 936, 945, 965, 976, 982, 991, 1005, 1013, 1039, 1041, 1069, 1088, 1091, 1112, 1123, 1127, 1128, 1129, 1132, 1139, 1141, 1143, 1157, 1165, 1171, 1199, 1203, 1204, 1223, 1277, 1278, 1329, 1334, 1359, 1360, 1362, 1363, 1365, 1369, 1403, 1405, 1411, 1413, 1415, 1418, 1423, 1436], "repres": [9, 11, 27, 44, 53, 55, 58, 68, 93, 100, 108, 116, 231, 232, 266, 282, 284, 287, 288, 289, 292, 293, 340, 352, 363, 364, 365, 379, 380, 382, 383, 384, 387, 388, 393, 450, 454, 455, 457, 459, 462, 467, 468, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 523, 567, 579, 580, 581, 582, 588, 590, 611, 617, 620, 621, 658, 662, 666, 669, 678, 681, 693, 694, 697, 699, 700, 701, 702, 704, 730, 732, 733, 736, 738, 741, 754, 788, 793, 798, 1022, 1023, 1024, 1025, 1040, 1041, 1042, 1043, 1048, 1084, 1105, 1146, 1157, 1191, 1199, 1200, 1202, 1203, 1204, 1205, 1215, 1223, 1246, 1249, 1252, 1256, 1264, 1273, 1275, 1278, 1279, 1284, 1285, 1329, 1330, 1332, 1335, 1336, 1352, 1353, 1387, 1388, 1396, 1402, 1415], "observ": [9, 14, 133, 224, 1423, 1436], "attend": 9, "14": [9, 11, 17, 20, 26, 39, 45, 65, 67, 72, 230, 231, 232, 348, 385, 386, 407, 408, 503, 621, 692, 1156, 1248, 1256, 1268, 1415, 1417, 1436], "event": [9, 26, 100, 101, 111, 1171, 1235, 1306], "18": [9, 45, 65, 67, 94, 325, 326, 347, 348, 385, 386, 620, 1175, 1255, 1261, 1264, 1266, 1269, 1275, 1402, 1415, 1425, 1426, 1430, 1436], "bipartit": [9, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 352, 353, 360, 379, 441, 442, 445, 583, 590, 760, 1046, 1109, 1157, 1209, 1210, 1211, 1271, 1331, 1404, 1407, 1408, 1409, 1410, 1415, 1416, 1420, 1422, 1426, 1430, 1434], "biadjac": [9, 283, 284, 1409, 1415], "7": [9, 12, 13, 15, 20, 26, 36, 45, 47, 64, 65, 66, 67, 69, 90, 100, 102, 103, 116, 126, 152, 159, 171, 172, 193, 208, 233, 269, 298, 300, 315, 323, 329, 334, 335, 341, 342, 344, 348, 364, 376, 382, 393, 405, 412, 415, 416, 417, 425, 426, 427, 428, 443, 447, 448, 485, 498, 503, 510, 513, 514, 557, 583, 588, 620, 621, 632, 654, 660, 665, 673, 676, 682, 697, 705, 708, 709, 710, 732, 749, 752, 763, 798, 855, 859, 868, 869, 883, 894, 900, 904, 913, 914, 917, 922, 930, 936, 940, 949, 976, 982, 986, 995, 999, 1013, 1040, 1042, 1043, 1045, 1055, 1056, 1088, 1103, 1107, 1154, 1218, 1248, 1254, 1256, 1257, 1261, 1264, 1266, 1279, 1329, 1332, 1336, 1345, 1346, 1351, 1354, 1355, 1356, 1388, 1390, 1401, 1403, 1411, 1412, 1414, 1417, 1418, 1419, 1420, 1421, 1422, 1434, 1436], "12": [9, 11, 20, 26, 45, 51, 56, 59, 65, 66, 67, 90, 92, 94, 230, 231, 232, 266, 347, 348, 382, 383, 394, 401, 407, 408, 409, 451, 488, 503, 518, 570, 574, 576, 608, 618, 1055, 1056, 1057, 1139, 1142, 1156, 1250, 1251, 1255, 1260, 1263, 1269, 1341, 1415, 1417, 1421, 1436], "9": [9, 11, 12, 13, 20, 26, 36, 45, 47, 64, 65, 66, 67, 69, 83, 90, 102, 103, 112, 116, 126, 233, 294, 296, 341, 342, 344, 348, 349, 358, 376, 382, 407, 408, 426, 440, 451, 496, 498, 503, 506, 507, 510, 547, 568, 583, 588, 678, 708, 709, 710, 763, 1103, 1107, 1154, 1156, 1200, 1205, 1218, 1223, 1241, 1252, 1261, 1273, 1279, 1289, 1290, 1329, 1332, 1334, 1388, 1405, 1412, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "11": [9, 26, 34, 45, 65, 66, 67, 69, 90, 103, 111, 116, 158, 211, 240, 241, 298, 299, 304, 307, 308, 324, 348, 394, 401, 407, 408, 409, 415, 417, 419, 424, 503, 516, 519, 608, 620, 682, 723, 740, 858, 903, 939, 985, 1055, 1056, 1057, 1103, 1156, 1293, 1412, 1419, 1422, 1423, 1428, 1433, 1434, 1435, 1436], "13": [9, 11, 39, 45, 65, 67, 90, 92, 157, 230, 231, 232, 345, 348, 503, 705, 857, 902, 938, 984, 1156, 1198, 1415, 1429, 1436], "16": [9, 20, 32, 45, 46, 65, 67, 71, 230, 231, 232, 348, 349, 389, 391, 392, 396, 455, 510, 513, 514, 521, 573, 594, 608, 750, 751, 752, 1112, 1211, 1262, 1277, 1292, 1329, 1415, 1420, 1436], "17": [9, 22, 45, 65, 67, 104, 230, 231, 232, 298, 348, 510, 682, 695, 1414, 1415, 1436], "friend": [9, 547, 1416, 1421], "member": [9, 93, 94, 95, 101, 113, 316, 318, 319, 320, 332, 393, 485, 486, 588, 693, 1228, 1273, 1412], "evelyn": 9, "jefferson": 9, "laura": 9, "mandevil": 9, "theresa": 9, "anderson": 9, "brenda": 9, "roger": 9, "charlott": 9, "mcdowd": 9, "franc": 9, "eleanor": 9, "nye": 9, "pearl": [9, 133], "oglethorp": 9, "ruth": 9, "desand": 9, "vern": 9, "sanderson": 9, "myra": 9, "liddel": 9, "katherina": 9, "sylvia": 9, "avondal": 9, "nora": 9, "fayett": 9, "helen": 9, "lloyd": 9, "dorothi": 9, "murchison": 9, "olivia": 9, "carleton": 9, "flora": 9, "price": 9, "meet": [9, 95, 1171, 1202, 1203, 1204], "50": [9, 26, 31, 35, 41, 51, 55, 56, 57, 58, 65, 66, 273, 313, 1120, 1199, 1203, 1204, 1257, 1303, 1308], "45": [9, 59, 65, 111, 227, 301, 411, 1181], "57": [9, 65], "46": [9, 65, 236, 566, 621, 1270], "24": [9, 20, 38, 65, 67, 69, 104, 348, 385, 386, 498, 507, 510, 705, 1218, 1235, 1250, 1268, 1277, 1412], "32": [9, 65, 67, 69, 210, 212, 213, 348, 385, 386, 566, 705, 1412, 1420], "36": [9, 22, 65, 69, 348, 754, 1156, 1268, 1277, 1359, 1360, 1385, 1412], "31": [9, 65, 67, 230, 231, 232, 261, 262, 263, 290, 348, 385, 386, 411, 705, 1232, 1241, 1412], "40": [9, 18, 51, 65, 81, 102, 298, 301, 557, 674, 1179, 1246, 1277], "38": [9, 65, 690, 1277], "33": [9, 59, 65, 67, 69, 94, 348, 385, 386, 502, 516, 705, 1273, 1277, 1412, 1423], "37": [9, 57, 65, 69, 304, 312, 313, 324, 325, 326, 498, 510, 1042, 1043, 1277, 1402, 1412, 1417], "43": [9, 65, 325, 326, 608, 1250, 1277], "34": [9, 65, 69, 333, 510, 764, 1277, 1412], "algorithm": [9, 13, 15, 16, 45, 53, 55, 89, 94, 95, 96, 97, 103, 104, 108, 110, 111, 112, 113, 115, 116, 118, 121, 122, 123, 126, 128, 129, 133, 134, 137, 142, 152, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 228, 229, 230, 231, 232, 233, 236, 250, 252, 253, 254, 255, 256, 257, 259, 261, 262, 263, 264, 265, 266, 267, 268, 273, 276, 278, 279, 281, 283, 285, 286, 287, 288, 289, 290, 291, 294, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 312, 313, 316, 321, 323, 324, 325, 326, 327, 328, 331, 332, 333, 334, 335, 339, 341, 342, 343, 344, 345, 347, 348, 349, 354, 360, 363, 364, 368, 373, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 396, 401, 407, 408, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 424, 426, 427, 428, 429, 430, 431, 432, 434, 435, 437, 439, 442, 451, 453, 454, 455, 456, 457, 462, 466, 468, 470, 483, 484, 485, 490, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 516, 518, 521, 522, 523, 529, 539, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 566, 568, 571, 579, 583, 584, 585, 591, 593, 594, 595, 602, 616, 618, 620, 621, 626, 627, 628, 629, 630, 631, 632, 634, 635, 637, 638, 641, 654, 655, 659, 660, 661, 662, 665, 666, 669, 673, 674, 675, 676, 678, 679, 680, 682, 683, 684, 685, 688, 692, 693, 694, 695, 697, 698, 699, 700, 701, 702, 703, 704, 713, 719, 723, 724, 731, 733, 734, 736, 737, 738, 739, 740, 751, 766, 767, 770, 772, 777, 778, 782, 788, 791, 792, 793, 855, 900, 936, 982, 1014, 1041, 1045, 1046, 1108, 1109, 1110, 1112, 1117, 1119, 1120, 1131, 1132, 1161, 1171, 1174, 1175, 1183, 1184, 1185, 1186, 1187, 1191, 1192, 1193, 1194, 1199, 1201, 1206, 1207, 1208, 1211, 1213, 1215, 1216, 1222, 1229, 1230, 1232, 1233, 1234, 1236, 1237, 1238, 1240, 1241, 1245, 1266, 1275, 1281, 1282, 1283, 1304, 1308, 1325, 1326, 1327, 1329, 1331, 1334, 1373, 1374, 1394, 1402, 1403, 1404, 1409, 1410, 1411, 1412, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1431, 1433, 1434, 1436], "davis_southern_women_graph": [9, 89, 264], "top": [9, 35, 53, 68, 107, 112, 113, 116, 126, 261, 273, 285, 352, 383, 672, 677, 772, 1109, 1140, 1142, 1258, 1405, 1408, 1416, 1421, 1422, 1425], "bottom": [9, 92, 116, 261, 273, 275, 285, 286, 287, 288, 289, 352, 383, 1140, 1142, 1161, 1413, 1425], "biadjacency_matrix": [9, 284], "onto": [9, 285, 286, 287, 288, 289, 561, 562, 1129], "projected_graph": [9, 116, 285, 286, 287, 289, 353], "keep": [9, 93, 94, 95, 116, 205, 347, 348, 349, 364, 379, 389, 391, 392, 396, 585, 600, 695, 696, 893, 975, 1120, 1213, 1216, 1284, 1285, 1302, 1382, 1403, 1420, 1423], "co": [9, 27, 95, 100, 145, 754, 1332], "occur": [9, 94, 96, 101, 231, 232, 278, 279, 281, 385, 583, 584, 585, 590, 1046, 1120, 1123, 1132, 1288, 1302], "count": [9, 186, 238, 239, 243, 244, 246, 298, 299, 311, 316, 332, 362, 388, 445, 570, 599, 621, 751, 755, 876, 919, 946, 952, 958, 961, 1002, 1063, 1185, 1284, 1285, 1415, 1416, 1425], "share": [9, 55, 59, 93, 95, 113, 166, 200, 215, 216, 217, 222, 279, 286, 288, 289, 295, 360, 361, 378, 420, 421, 462, 464, 482, 571, 580, 693, 734, 864, 889, 909, 927, 945, 971, 991, 1010, 1223, 1334], "contact": [9, 93, 690, 1201, 1332], "weighted_projected_graph": [9, 285, 286, 287, 288, 1426], "648": 9, "108": [9, 11, 18, 1222], "plot_davis_club": [9, 18], "retain": [10, 103, 111, 231, 285, 286, 287, 288, 289, 1103, 1193, 1301], "pattern": [10, 55, 94, 104, 237, 242, 245, 249, 387, 496, 521, 557, 673, 674, 675, 676, 692, 693, 695, 764, 788, 1039, 1091, 1396, 1422], "add": [10, 11, 27, 35, 42, 46, 50, 53, 62, 72, 89, 90, 92, 94, 95, 102, 103, 106, 107, 116, 152, 153, 154, 155, 157, 158, 159, 165, 208, 223, 224, 230, 283, 286, 343, 376, 413, 414, 425, 430, 432, 433, 452, 462, 583, 584, 585, 591, 616, 617, 620, 621, 656, 692, 703, 719, 720, 798, 852, 855, 856, 857, 858, 859, 894, 897, 900, 901, 902, 903, 904, 930, 933, 936, 937, 938, 939, 940, 976, 979, 982, 983, 984, 985, 986, 987, 1013, 1040, 1041, 1042, 1043, 1045, 1052, 1055, 1056, 1057, 1103, 1127, 1129, 1160, 1171, 1178, 1191, 1213, 1216, 1223, 1225, 1239, 1240, 1242, 1308, 1332, 1359, 1360, 1362, 1363, 1385, 1386, 1391, 1402, 1403, 1404, 1407, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1436], "compressor": [10, 692, 788], "do": [10, 56, 76, 89, 93, 94, 95, 97, 100, 102, 103, 106, 107, 108, 110, 112, 116, 134, 166, 185, 200, 203, 205, 231, 232, 239, 244, 278, 279, 281, 364, 382, 412, 413, 414, 420, 421, 460, 461, 469, 472, 591, 600, 634, 692, 694, 736, 737, 738, 739, 793, 798, 864, 875, 889, 892, 893, 909, 918, 927, 928, 929, 945, 956, 957, 971, 974, 975, 991, 1000, 1001, 1010, 1011, 1012, 1040, 1041, 1042, 1043, 1045, 1064, 1085, 1105, 1171, 1183, 1195, 1199, 1213, 1216, 1222, 1223, 1233, 1278, 1334, 1402, 1410, 1411, 1416, 1420, 1436], "would": [10, 93, 94, 96, 97, 101, 102, 103, 104, 105, 106, 108, 290, 306, 416, 417, 418, 419, 424, 430, 581, 585, 590, 634, 681, 692, 695, 719, 720, 753, 1223, 1242, 1301, 1302, 1306, 1309, 1332, 1425, 1426], "result": [10, 11, 26, 72, 93, 96, 102, 104, 110, 111, 113, 143, 166, 210, 219, 221, 231, 232, 256, 270, 272, 274, 277, 284, 285, 286, 287, 288, 289, 290, 300, 301, 306, 325, 326, 332, 346, 356, 376, 382, 383, 384, 387, 388, 393, 413, 414, 418, 420, 442, 466, 468, 469, 492, 496, 500, 501, 511, 512, 513, 514, 566, 567, 568, 586, 587, 589, 603, 611, 617, 628, 629, 631, 678, 680, 692, 694, 706, 712, 719, 788, 793, 864, 909, 945, 987, 991, 1041, 1045, 1085, 1097, 1101, 1102, 1105, 1106, 1108, 1115, 1116, 1117, 1119, 1127, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1156, 1158, 1160, 1163, 1165, 1166, 1169, 1181, 1183, 1186, 1207, 1228, 1231, 1245, 1284, 1285, 1287, 1302, 1305, 1309, 1314, 1332, 1334, 1337, 1340, 1365, 1411, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1434, 1435, 1436], "fewer": [10, 422, 423, 683, 685, 692, 694, 695, 696, 764, 788, 1219, 1221], "compress": [10, 26, 269, 514, 579, 692, 788, 1119, 1248, 1339, 1340, 1345, 1346, 1350, 1356, 1363, 1364, 1377, 1378, 1382], "suptitl": [10, 16], "original_graph": [10, 16, 692], "white_nod": 10, "red_nod": 10, "250": [10, 33, 1171], "white": [10, 22, 26, 83, 84, 128, 215, 216, 217, 221, 429, 1404, 1407, 1415], "add_nodes_from": [10, 16, 17, 37, 71, 72, 83, 90, 116, 157, 166, 200, 208, 237, 238, 249, 266, 268, 269, 425, 427, 428, 471, 557, 692, 798, 857, 864, 889, 894, 902, 909, 927, 930, 938, 945, 971, 976, 984, 991, 1010, 1013, 1040, 1042, 1043, 1068, 1200, 1223, 1297, 1413, 1415, 1422, 1436], "add_edges_from": [10, 16, 17, 37, 42, 71, 83, 90, 116, 133, 152, 159, 166, 200, 205, 208, 237, 249, 288, 329, 378, 424, 425, 427, 428, 462, 471, 503, 513, 514, 574, 576, 590, 690, 692, 707, 708, 709, 711, 732, 744, 745, 798, 855, 859, 864, 889, 893, 894, 900, 904, 909, 927, 929, 930, 936, 940, 945, 958, 965, 966, 971, 975, 976, 982, 986, 991, 1002, 1005, 1006, 1010, 1012, 1013, 1040, 1042, 1043, 1073, 1088, 1097, 1141, 1160, 1223, 1293, 1297, 1332, 1413, 1416, 1436], "base_opt": [10, 16], "edgecolor": [10, 16, 22, 33, 35, 36, 39, 55, 59, 83, 84, 1143], "black": [10, 16, 22, 26, 66, 70, 94, 600, 1139, 1140, 1142, 1421, 1422, 1423, 1425, 1436], "ax1": [10, 16, 28, 51, 83], "number_of_edg": [10, 16, 26, 29, 199, 692, 888, 926, 970, 1009, 1062, 1160, 1277, 1415, 1416, 1436], "nonexp_graph": 10, "compression_nod": 10, "summar": [10, 16, 101, 102, 692, 693, 760, 793, 1331, 1334, 1387, 1422], "dedensifi": [10, 760], "threshold": [10, 58, 84, 113, 221, 230, 232, 382, 383, 692, 694, 697, 698, 760, 788, 1120, 1199, 1200, 1202, 1203, 1204, 1331, 1407, 1415, 1416, 1417, 1421, 1423], "copi": [10, 17, 39, 45, 94, 96, 107, 168, 197, 200, 203, 204, 205, 206, 285, 286, 287, 288, 289, 343, 390, 392, 394, 408, 435, 436, 437, 438, 439, 455, 462, 471, 523, 586, 587, 589, 598, 601, 604, 605, 607, 608, 609, 612, 613, 615, 616, 635, 638, 692, 866, 887, 889, 892, 893, 911, 927, 928, 929, 947, 966, 969, 971, 974, 975, 993, 1006, 1010, 1011, 1012, 1038, 1041, 1060, 1064, 1066, 1069, 1085, 1086, 1125, 1189, 1195, 1223, 1229, 1233, 1257, 1276, 1300, 1301, 1302, 1412, 1413, 1415, 1416, 1417, 1418, 1421, 1422, 1431, 1434], "nonexp_node_color": 10, "nonexp_node_s": 10, "yellow": [10, 16, 600, 762, 1436], "nonexp_po": 10, "75": [10, 35, 240, 261, 300, 315, 357, 358, 388, 684, 1175, 1176, 1177, 1179, 1413, 1417, 1436], "c_node": [10, 692], "spot": 10, "443": [10, 18], "plot_dedensif": [10, 18], "153": [11, 457], "curiou": 11, "let": [11, 56, 59, 94, 98, 102, 104, 218, 258, 281, 283, 300, 301, 314, 323, 373, 374, 385, 588, 621, 764, 1045, 1225, 1284, 1285, 1332, 1434], "defin": [11, 25, 53, 59, 70, 98, 113, 128, 214, 223, 224, 240, 241, 261, 262, 263, 264, 286, 290, 312, 317, 331, 336, 337, 347, 348, 349, 358, 387, 388, 392, 426, 427, 428, 431, 434, 435, 436, 437, 438, 439, 451, 466, 467, 468, 471, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 521, 569, 571, 572, 573, 575, 576, 577, 579, 588, 616, 617, 621, 623, 627, 654, 673, 675, 676, 678, 686, 687, 688, 689, 690, 691, 730, 732, 740, 753, 754, 755, 764, 793, 798, 1040, 1041, 1042, 1043, 1048, 1050, 1074, 1084, 1101, 1127, 1128, 1129, 1153, 1160, 1176, 1178, 1201, 1203, 1286, 1292, 1293, 1294, 1302, 1326, 1327, 1332, 1350, 1359, 1360, 1365, 1369, 1385, 1404, 1411, 1416, 1417, 1421, 1436], "an": [11, 13, 16, 25, 26, 32, 35, 39, 42, 45, 47, 50, 53, 55, 56, 59, 64, 67, 68, 72, 76, 77, 78, 89, 92, 93, 94, 95, 96, 97, 100, 101, 102, 103, 104, 105, 108, 111, 113, 115, 116, 117, 121, 122, 128, 129, 133, 142, 152, 153, 158, 159, 161, 166, 167, 168, 169, 171, 176, 180, 181, 182, 185, 189, 190, 192, 193, 194, 195, 196, 199, 200, 202, 205, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 228, 230, 231, 232, 233, 236, 239, 240, 241, 244, 250, 251, 252, 256, 257, 265, 267, 268, 270, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 292, 293, 294, 295, 296, 298, 299, 300, 302, 303, 307, 308, 309, 310, 312, 313, 316, 317, 319, 320, 321, 323, 325, 326, 327, 328, 331, 332, 334, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 355, 358, 359, 364, 365, 366, 367, 368, 372, 375, 376, 377, 379, 380, 381, 382, 383, 385, 386, 387, 389, 390, 391, 392, 394, 396, 397, 402, 404, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 429, 430, 431, 433, 434, 435, 439, 440, 441, 442, 451, 452, 453, 457, 458, 459, 462, 464, 468, 469, 470, 471, 473, 474, 475, 476, 477, 479, 482, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 518, 519, 521, 522, 523, 524, 525, 526, 527, 532, 536, 537, 542, 546, 547, 557, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 586, 588, 590, 591, 592, 595, 596, 597, 598, 599, 600, 603, 606, 607, 609, 612, 613, 617, 618, 620, 621, 626, 628, 629, 633, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 688, 692, 693, 694, 696, 697, 698, 699, 703, 705, 706, 707, 708, 709, 710, 718, 719, 721, 723, 724, 725, 726, 727, 728, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 745, 750, 754, 762, 763, 764, 769, 777, 784, 793, 798, 803, 808, 812, 816, 820, 824, 829, 834, 839, 844, 849, 851, 852, 853, 855, 856, 858, 859, 861, 864, 865, 866, 867, 868, 871, 873, 874, 875, 879, 880, 882, 883, 884, 885, 886, 888, 889, 891, 893, 894, 896, 897, 898, 900, 901, 903, 904, 906, 909, 910, 911, 912, 913, 916, 917, 918, 922, 923, 924, 925, 926, 927, 929, 930, 932, 933, 934, 936, 937, 939, 940, 942, 945, 946, 947, 948, 949, 950, 952, 954, 955, 956, 957, 961, 962, 964, 965, 966, 967, 968, 970, 971, 973, 975, 976, 978, 979, 980, 982, 983, 985, 986, 988, 991, 992, 993, 994, 995, 996, 998, 999, 1000, 1001, 1005, 1006, 1007, 1008, 1009, 1010, 1012, 1013, 1015, 1016, 1021, 1023, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1048, 1049, 1052, 1053, 1054, 1064, 1065, 1069, 1071, 1077, 1078, 1084, 1085, 1087, 1088, 1089, 1090, 1091, 1093, 1097, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1118, 1120, 1125, 1127, 1128, 1129, 1139, 1141, 1143, 1149, 1150, 1152, 1155, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1172, 1173, 1181, 1183, 1184, 1185, 1187, 1188, 1191, 1192, 1193, 1194, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1208, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1222, 1223, 1224, 1228, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1240, 1241, 1242, 1245, 1248, 1250, 1256, 1265, 1268, 1269, 1273, 1275, 1276, 1277, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1293, 1294, 1297, 1300, 1301, 1302, 1306, 1308, 1309, 1325, 1326, 1327, 1329, 1330, 1332, 1334, 1335, 1337, 1339, 1340, 1342, 1347, 1350, 1358, 1368, 1369, 1371, 1377, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1391, 1395, 1402, 1403, 1404, 1406, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1421, 1422, 1423, 1425, 1426, 1433, 1434, 1436], "process": [11, 14, 53, 77, 93, 94, 95, 97, 98, 99, 103, 105, 181, 223, 227, 233, 275, 333, 340, 375, 385, 407, 408, 442, 457, 466, 467, 468, 594, 626, 693, 762, 788, 873, 916, 954, 998, 1048, 1103, 1127, 1128, 1129, 1181, 1183, 1186, 1222, 1225, 1228, 1231, 1251, 1286, 1296, 1301, 1302, 1305, 1307, 1391, 1404, 1416, 1417, 1421, 1422, 1423, 1428, 1436], "follow": [11, 26, 45, 50, 53, 54, 66, 68, 84, 87, 92, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 109, 111, 112, 129, 133, 152, 162, 172, 184, 208, 214, 228, 230, 231, 232, 244, 281, 306, 340, 345, 348, 353, 364, 375, 380, 382, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 442, 454, 455, 467, 468, 498, 504, 505, 506, 507, 508, 509, 510, 590, 600, 601, 604, 617, 638, 681, 750, 752, 762, 764, 793, 855, 869, 894, 900, 914, 930, 936, 950, 976, 982, 996, 1013, 1105, 1106, 1108, 1150, 1171, 1181, 1185, 1191, 1194, 1206, 1207, 1215, 1225, 1231, 1239, 1240, 1247, 1257, 1266, 1280, 1281, 1282, 1283, 1287, 1302, 1321, 1329, 1332, 1334, 1335, 1387, 1396, 1402, 1404, 1408, 1413, 1415, 1416, 1418, 1420, 1421, 1422, 1434, 1436], "given": [11, 13, 39, 45, 63, 65, 68, 92, 100, 102, 104, 113, 117, 142, 143, 145, 153, 159, 194, 198, 209, 212, 213, 228, 230, 236, 237, 249, 250, 261, 265, 267, 270, 272, 274, 275, 277, 280, 282, 284, 285, 286, 287, 288, 289, 321, 331, 333, 340, 346, 348, 353, 355, 359, 364, 365, 366, 367, 375, 380, 382, 383, 387, 441, 456, 457, 462, 464, 472, 479, 480, 482, 499, 513, 514, 515, 561, 562, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 578, 580, 581, 582, 590, 591, 592, 616, 617, 618, 624, 625, 661, 662, 663, 664, 678, 679, 680, 681, 683, 685, 686, 688, 692, 693, 695, 699, 700, 701, 702, 704, 705, 706, 708, 709, 710, 711, 730, 731, 732, 733, 734, 741, 750, 755, 763, 784, 788, 856, 859, 884, 901, 904, 923, 937, 940, 966, 983, 986, 1006, 1049, 1088, 1089, 1097, 1104, 1105, 1141, 1150, 1157, 1168, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1195, 1205, 1206, 1207, 1212, 1213, 1214, 1215, 1216, 1227, 1228, 1246, 1275, 1279, 1280, 1282, 1301, 1306, 1308, 1321, 1329, 1359, 1360, 1385, 1386, 1387, 1388, 1403, 1404, 1415], "digit": [11, 71, 100], "base": [11, 16, 39, 44, 56, 59, 70, 94, 95, 101, 102, 103, 104, 108, 129, 133, 200, 204, 206, 213, 217, 221, 230, 297, 298, 302, 303, 304, 309, 310, 311, 312, 313, 323, 324, 325, 326, 327, 331, 332, 339, 345, 348, 349, 364, 373, 375, 376, 382, 383, 384, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 425, 427, 428, 429, 430, 432, 433, 451, 466, 468, 496, 500, 501, 502, 511, 512, 547, 557, 566, 568, 571, 576, 583, 616, 618, 662, 669, 682, 690, 693, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 719, 734, 740, 760, 763, 764, 788, 793, 798, 889, 927, 936, 937, 971, 982, 983, 1010, 1039, 1040, 1041, 1044, 1046, 1085, 1091, 1188, 1235, 1241, 1259, 1273, 1302, 1326, 1327, 1329, 1332, 1391, 1395, 1399, 1401, 1404, 1411, 1412, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1430, 1434], "obtain": [11, 92, 166, 208, 283, 347, 348, 349, 382, 385, 389, 390, 391, 392, 396, 467, 513, 608, 620, 621, 658, 724, 744, 745, 762, 798, 864, 894, 909, 930, 945, 976, 991, 1013, 1040, 1042, 1043, 1170, 1259, 1278, 1284, 1285, 1329, 1332, 1362, 1363, 1411, 1436], "seri": [11, 446, 618, 682, 1221, 1292], "finit": [11, 464, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 516, 520, 1183, 1185, 1198, 1228], "end": [11, 26, 37, 53, 96, 102, 107, 154, 155, 207, 216, 228, 268, 269, 301, 334, 335, 344, 373, 374, 429, 616, 620, 621, 628, 629, 633, 634, 636, 637, 638, 641, 642, 652, 653, 654, 655, 656, 657, 662, 666, 669, 679, 680, 682, 736, 738, 1041, 1045, 1064, 1069, 1078, 1083, 1085, 1087, 1120, 1127, 1139, 1141, 1158, 1171, 1212, 1235, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1356, 1359, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1385, 1388, 1413, 1422], "In": [11, 17, 28, 44, 55, 58, 59, 89, 93, 94, 95, 96, 98, 100, 101, 102, 104, 111, 116, 128, 133, 134, 176, 185, 200, 218, 230, 231, 232, 236, 241, 258, 259, 260, 279, 284, 287, 289, 290, 300, 312, 313, 325, 326, 331, 352, 359, 380, 381, 382, 412, 415, 416, 417, 424, 431, 445, 449, 452, 460, 462, 496, 500, 501, 503, 512, 567, 570, 574, 576, 592, 593, 617, 621, 623, 654, 655, 656, 659, 660, 665, 672, 677, 678, 692, 693, 703, 705, 719, 720, 721, 732, 734, 742, 743, 744, 745, 763, 764, 769, 772, 791, 793, 798, 871, 875, 889, 918, 927, 956, 957, 971, 1000, 1001, 1010, 1040, 1041, 1042, 1043, 1045, 1046, 1069, 1103, 1104, 1120, 1160, 1174, 1205, 1209, 1212, 1213, 1214, 1216, 1222, 1223, 1228, 1232, 1237, 1239, 1247, 1301, 1302, 1306, 1326, 1327, 1332, 1334, 1356, 1387, 1403, 1407, 1408, 1413, 1414, 1415, 1416, 1417, 1418, 1422, 1423, 1436], "languag": [11, 93, 100, 111, 1045, 1330, 1347, 1348, 1350, 1389, 1390, 1391, 1420], "discret": [11, 105, 236, 250, 364, 411, 515, 519, 520, 620, 762, 1170, 1171, 1184, 1186, 1192, 1196, 1210, 1284, 1285, 1288, 1320, 1321, 1329, 1415], "global": [11, 104, 315, 343, 412, 479, 488, 489, 511, 594, 1048, 1275, 1302, 1307, 1310, 1311, 1334, 1416, 1418, 1420], "attractor": [11, 390], "map": [11, 35, 39, 53, 68, 102, 103, 104, 116, 126, 145, 146, 149, 167, 170, 198, 239, 244, 265, 352, 371, 393, 414, 418, 419, 420, 421, 425, 426, 427, 428, 433, 442, 462, 532, 533, 536, 542, 543, 546, 547, 561, 562, 563, 565, 590, 616, 672, 678, 680, 753, 754, 762, 764, 865, 910, 946, 949, 992, 995, 1015, 1016, 1021, 1022, 1041, 1042, 1043, 1048, 1139, 1141, 1143, 1223, 1275, 1301, 1302, 1312, 1316, 1323, 1324, 1330, 1331, 1367, 1368, 1402, 1411, 1415, 1417, 1421, 1422, 1434, 1436], "restrict": [11, 103, 129, 355, 793, 1041, 1085, 1413], "For": [11, 55, 68, 89, 93, 94, 96, 98, 100, 102, 103, 104, 106, 108, 111, 116, 126, 129, 133, 144, 152, 159, 160, 161, 166, 169, 186, 190, 200, 201, 205, 227, 231, 232, 236, 239, 240, 241, 247, 248, 256, 260, 283, 298, 299, 300, 302, 303, 305, 307, 308, 309, 310, 312, 313, 315, 316, 317, 322, 323, 325, 326, 328, 330, 331, 332, 340, 348, 349, 358, 359, 360, 382, 387, 394, 397, 399, 400, 402, 404, 405, 406, 409, 412, 413, 414, 415, 416, 418, 419, 420, 421, 424, 431, 433, 434, 435, 436, 437, 438, 452, 455, 462, 481, 482, 490, 496, 497, 498, 500, 501, 504, 505, 508, 509, 511, 512, 524, 525, 526, 557, 567, 570, 574, 576, 587, 589, 600, 616, 617, 620, 621, 627, 635, 638, 643, 645, 661, 679, 680, 688, 689, 690, 693, 719, 720, 721, 735, 736, 737, 738, 739, 744, 745, 754, 755, 756, 764, 772, 777, 784, 788, 791, 793, 798, 855, 859, 860, 861, 864, 867, 876, 880, 889, 890, 893, 900, 904, 905, 906, 909, 912, 919, 927, 936, 940, 941, 942, 945, 948, 958, 962, 965, 971, 972, 982, 986, 987, 988, 991, 994, 1002, 1005, 1010, 1040, 1041, 1042, 1043, 1045, 1065, 1067, 1069, 1074, 1088, 1097, 1101, 1102, 1104, 1105, 1106, 1108, 1114, 1118, 1127, 1128, 1129, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1149, 1154, 1157, 1160, 1181, 1183, 1185, 1186, 1191, 1194, 1195, 1199, 1201, 1202, 1203, 1204, 1205, 1219, 1220, 1223, 1225, 1230, 1234, 1238, 1248, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1291, 1292, 1295, 1297, 1299, 1302, 1304, 1332, 1334, 1339, 1351, 1354, 1355, 1356, 1362, 1363, 1364, 1377, 1387, 1390, 1398, 1402, 1404, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "513": [11, 1407, 1415], "reach": [11, 100, 101, 315, 325, 329, 378, 385, 389, 391, 392, 396, 412, 413, 414, 420, 421, 496, 500, 501, 512, 566, 568, 628, 629, 634, 642, 645, 654, 695, 713, 760, 1194, 1213, 1216, 1387, 1388, 1416], "orbit": 11, "up": [11, 71, 81, 94, 95, 98, 100, 101, 102, 105, 106, 108, 133, 134, 348, 349, 379, 425, 429, 511, 532, 542, 579, 621, 654, 655, 659, 750, 1039, 1041, 1064, 1069, 1085, 1091, 1105, 1127, 1129, 1150, 1154, 1179, 1219, 1221, 1278, 1332, 1334, 1361, 1364, 1404, 1405, 1411, 1413, 1415, 1419, 1420, 1422, 1423, 1425, 1426, 1429, 1434, 1436], "reveal": [11, 713, 788], "cycl": [11, 39, 45, 96, 121, 215, 228, 229, 230, 231, 232, 233, 264, 294, 295, 296, 340, 343, 345, 360, 451, 452, 453, 454, 455, 459, 464, 465, 466, 468, 469, 470, 482, 498, 503, 506, 507, 510, 521, 586, 587, 589, 610, 630, 631, 632, 634, 654, 659, 660, 665, 699, 729, 744, 745, 760, 793, 1046, 1055, 1141, 1143, 1154, 1155, 1158, 1169, 1192, 1196, 1248, 1250, 1266, 1270, 1331, 1404, 1406, 1407, 1410, 1412, 1413, 1415, 1416, 1417, 1420, 1421, 1423, 1433], "requir": [11, 39, 66, 94, 95, 96, 100, 101, 102, 103, 105, 107, 108, 110, 112, 116, 166, 208, 292, 293, 294, 297, 302, 303, 309, 310, 317, 439, 478, 502, 522, 523, 617, 682, 700, 701, 702, 722, 731, 733, 788, 793, 798, 864, 894, 909, 930, 945, 976, 991, 1013, 1040, 1042, 1043, 1049, 1114, 1149, 1198, 1199, 1205, 1221, 1223, 1241, 1302, 1332, 1351, 1354, 1355, 1356, 1390, 1402, 1403, 1405, 1411, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1428, 1429, 1434, 1436], "less": [11, 35, 44, 100, 102, 129, 143, 145, 228, 290, 325, 326, 382, 383, 385, 386, 387, 424, 427, 428, 431, 466, 522, 523, 638, 675, 688, 733, 788, 1141, 1168, 1180, 1191, 1193, 1200, 1281, 1282, 1359, 1360, 1385, 1413, 1414, 1417, 1420, 1422, 1423], "smallest": [11, 32, 212, 222, 265, 364, 372, 378, 383, 442, 485, 492, 681, 731, 733, 1051, 1206, 1255, 1265, 1281, 1282, 1308, 1326, 1327, 1416], "177": [11, 298, 299, 307, 308, 331], "e": [11, 16, 17, 32, 35, 39, 47, 53, 62, 66, 68, 70, 72, 77, 83, 90, 92, 93, 94, 95, 96, 98, 100, 102, 103, 104, 105, 108, 111, 112, 113, 116, 128, 142, 145, 152, 153, 158, 159, 169, 171, 172, 178, 190, 193, 196, 208, 212, 218, 219, 222, 227, 234, 237, 242, 245, 249, 250, 268, 276, 279, 281, 283, 285, 289, 290, 291, 294, 296, 301, 302, 303, 306, 307, 308, 309, 310, 312, 313, 314, 323, 325, 326, 327, 328, 333, 334, 335, 341, 342, 343, 345, 347, 357, 358, 360, 363, 373, 374, 376, 380, 385, 387, 400, 407, 408, 431, 436, 451, 454, 455, 457, 469, 470, 471, 473, 474, 476, 477, 478, 481, 490, 492, 493, 494, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 519, 520, 567, 568, 577, 579, 584, 588, 590, 592, 595, 600, 604, 617, 618, 620, 621, 627, 628, 677, 679, 680, 688, 690, 693, 694, 695, 734, 736, 738, 764, 798, 852, 855, 856, 858, 859, 867, 868, 869, 880, 883, 886, 894, 897, 900, 901, 903, 904, 912, 913, 914, 922, 925, 930, 933, 936, 937, 939, 940, 948, 949, 950, 962, 965, 968, 976, 979, 982, 983, 985, 986, 987, 994, 995, 996, 1005, 1008, 1013, 1040, 1041, 1042, 1043, 1045, 1050, 1100, 1103, 1107, 1139, 1140, 1141, 1142, 1152, 1160, 1171, 1181, 1183, 1185, 1186, 1188, 1189, 1190, 1193, 1198, 1199, 1200, 1209, 1210, 1211, 1213, 1216, 1225, 1228, 1232, 1236, 1239, 1240, 1266, 1272, 1274, 1284, 1285, 1286, 1293, 1294, 1298, 1301, 1308, 1309, 1316, 1326, 1327, 1329, 1332, 1335, 1339, 1343, 1344, 1347, 1350, 1362, 1396, 1402, 1405, 1411, 1412, 1414, 1415, 1416, 1418, 1420, 1422, 1423, 1426], "687": 11, "1071": 11, "345": 11, "216": [11, 1199], "225": [11, 90, 208, 279, 894, 930, 976, 1013, 1161], "141": [11, 40, 48, 227], "66": [11, 35, 59, 65, 568], "432": 11, "99": [11, 66, 594, 1207, 1239, 1329, 1412], "1458": 11, "702": 11, "351": 11, "test": [11, 53, 89, 95, 96, 97, 98, 100, 104, 106, 107, 110, 133, 181, 268, 269, 311, 340, 345, 399, 400, 422, 423, 456, 522, 527, 537, 557, 618, 673, 742, 743, 744, 745, 757, 759, 762, 764, 873, 916, 954, 998, 1045, 1073, 1075, 1171, 1332, 1339, 1340, 1343, 1345, 1346, 1350, 1355, 1356, 1377, 1378, 1381, 1382, 1402, 1404, 1405, 1407, 1410, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1432, 1433, 1434, 1436], "softwar": [11, 92, 108, 112, 483, 484, 731, 733, 1436], "power": [11, 46, 95, 111, 208, 312, 313, 325, 373, 374, 522, 523, 566, 568, 694, 760, 894, 930, 976, 1013, 1046, 1171, 1181, 1243, 1244, 1261, 1322, 1325, 1404, 1415, 1416, 1436], "abov": [11, 93, 94, 101, 102, 103, 104, 111, 292, 293, 316, 317, 326, 332, 382, 385, 388, 455, 462, 493, 496, 500, 501, 504, 505, 511, 512, 523, 688, 694, 732, 764, 1041, 1105, 1127, 1128, 1129, 1154, 1171, 1191, 1225, 1240, 1280, 1284, 1285, 1306, 1408, 1413, 1416, 1426], "correspond": [11, 68, 102, 104, 145, 162, 168, 223, 224, 228, 229, 230, 231, 232, 233, 234, 235, 266, 267, 282, 312, 313, 325, 326, 333, 334, 352, 363, 364, 382, 393, 417, 419, 420, 421, 424, 462, 478, 484, 513, 516, 583, 585, 590, 611, 617, 618, 626, 630, 631, 632, 679, 680, 681, 730, 731, 733, 734, 744, 745, 750, 793, 852, 866, 897, 911, 933, 947, 979, 993, 1101, 1102, 1104, 1105, 1106, 1108, 1112, 1118, 1141, 1149, 1150, 1181, 1183, 1184, 1185, 1186, 1187, 1199, 1200, 1218, 1228, 1277, 1278, 1280, 1282, 1283, 1284, 1285, 1287, 1329, 1338, 1339, 1341, 1342, 1361, 1364, 1365, 1366, 1369, 1370, 1376, 1387, 1403, 1414, 1415], "below": [11, 14, 26, 93, 95, 100, 101, 112, 152, 207, 332, 385, 410, 412, 413, 414, 415, 416, 417, 419, 421, 431, 466, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 567, 617, 694, 798, 855, 900, 936, 982, 1040, 1042, 1043, 1120, 1150, 1181, 1183, 1223, 1228, 1248, 1281, 1282, 1283, 1302, 1355, 1402, 1411, 1413, 1426, 1436], "powersum": 11, "over": [11, 35, 39, 50, 72, 89, 95, 96, 100, 102, 103, 104, 110, 153, 158, 159, 160, 161, 169, 176, 177, 181, 182, 185, 189, 190, 191, 192, 196, 201, 202, 214, 215, 221, 231, 236, 292, 296, 300, 315, 316, 317, 321, 327, 331, 332, 347, 348, 349, 364, 365, 366, 367, 371, 375, 376, 387, 410, 411, 431, 479, 490, 491, 498, 499, 525, 528, 531, 535, 538, 541, 545, 600, 638, 680, 692, 705, 706, 707, 708, 709, 710, 712, 713, 721, 735, 736, 738, 740, 764, 851, 853, 856, 858, 859, 860, 861, 867, 871, 872, 873, 874, 875, 879, 880, 881, 882, 886, 890, 891, 896, 898, 901, 903, 904, 905, 906, 912, 916, 917, 918, 925, 932, 934, 937, 939, 940, 941, 942, 948, 953, 954, 955, 957, 962, 963, 964, 968, 972, 973, 978, 980, 983, 985, 986, 987, 988, 994, 998, 999, 1001, 1008, 1077, 1078, 1087, 1103, 1198, 1223, 1231, 1239, 1247, 1284, 1285, 1294, 1332, 1334, 1402, 1411, 1413, 1414, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435, 1436], "converg": [11, 312, 325, 375, 566, 567, 568, 678, 1046, 1416, 1417], "singl": [11, 14, 59, 81, 94, 95, 100, 102, 103, 105, 108, 144, 152, 153, 157, 159, 167, 169, 176, 177, 181, 189, 190, 194, 221, 266, 275, 291, 294, 295, 300, 316, 323, 329, 333, 346, 355, 356, 393, 395, 426, 429, 445, 464, 466, 493, 496, 500, 501, 504, 505, 511, 512, 579, 586, 587, 589, 600, 623, 637, 662, 663, 664, 679, 680, 692, 707, 744, 745, 788, 793, 798, 855, 856, 857, 859, 865, 867, 871, 872, 873, 879, 880, 884, 900, 901, 902, 904, 910, 912, 916, 923, 936, 937, 938, 940, 946, 948, 952, 953, 954, 961, 962, 965, 966, 982, 983, 984, 986, 992, 994, 998, 1005, 1006, 1040, 1042, 1043, 1044, 1045, 1048, 1049, 1061, 1088, 1089, 1094, 1095, 1096, 1100, 1101, 1102, 1104, 1105, 1107, 1123, 1127, 1129, 1132, 1139, 1141, 1143, 1146, 1153, 1157, 1162, 1170, 1173, 1178, 1195, 1203, 1278, 1280, 1301, 1302, 1324, 1326, 1327, 1329, 1330, 1334, 1337, 1340, 1341, 1351, 1369, 1370, 1375, 1410, 1413, 1415, 1416, 1418, 1421, 1422], "fix": [11, 92, 94, 95, 96, 101, 107, 514, 695, 696, 711, 1120, 1275, 1403, 1405, 1409, 1411, 1412, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "appli": [11, 36, 53, 89, 93, 100, 221, 231, 232, 300, 323, 341, 342, 344, 360, 464, 511, 588, 590, 620, 627, 649, 762, 788, 793, 1039, 1045, 1088, 1089, 1091, 1097, 1141, 1143, 1170, 1194, 1203, 1248, 1275, 1288, 1302, 1329, 1362, 1363, 1403, 1413, 1416, 1434], "lead": [11, 100, 102, 231, 232, 385, 473, 474, 475, 476, 477, 569, 1181, 1183, 1228, 1332, 1414, 1436], "370": [11, 1250], "371": [11, 275], "407": [11, 348, 349], "modulo": [11, 588, 1196], "ad": [11, 17, 28, 42, 72, 89, 95, 96, 97, 98, 100, 101, 102, 103, 104, 106, 128, 142, 152, 153, 154, 155, 156, 158, 159, 207, 208, 228, 235, 275, 323, 333, 424, 536, 546, 581, 585, 603, 665, 692, 788, 793, 855, 856, 858, 859, 894, 900, 901, 903, 904, 930, 936, 937, 939, 940, 965, 976, 982, 983, 985, 986, 1005, 1013, 1055, 1056, 1066, 1101, 1103, 1104, 1127, 1128, 1129, 1188, 1189, 1190, 1192, 1235, 1239, 1240, 1242, 1278, 1284, 1285, 1330, 1332, 1335, 1404, 1405, 1407, 1409, 1410, 1411, 1412, 1413, 1414, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1433, 1434], "anoth": [11, 44, 58, 93, 95, 102, 104, 105, 108, 113, 316, 332, 600, 617, 695, 696, 706, 719, 742, 743, 744, 745, 764, 793, 798, 1040, 1042, 1043, 1088, 1181, 1219, 1221, 1225, 1334, 1413, 1420, 1428, 1436], "invari": [11, 608, 620, 621, 777, 1196], "subset": [11, 72, 102, 112, 113, 211, 212, 298, 299, 303, 308, 310, 424, 459, 485, 486, 567, 568, 583, 584, 585, 626, 688, 689, 764, 788, 793, 1112, 1157, 1168, 1301, 1404, 1407, 1415, 1420, 1422, 1436], "squar": [11, 15, 71, 327, 360, 1045, 1114, 1179, 1198, 1201, 1221, 1258, 1259, 1277, 1329], "certain": [11, 455, 616, 621, 680, 721, 1240, 1284, 1285], "itself": [11, 95, 100, 101, 102, 104, 301, 320, 348, 349, 350, 351, 355, 363, 364, 458, 463, 1049, 1127, 1128, 1129, 1170, 1223, 1332, 1387, 1388, 1418, 1436], "keyword": [11, 33, 95, 96, 104, 152, 153, 157, 158, 159, 185, 199, 208, 227, 291, 300, 321, 329, 376, 385, 504, 505, 508, 509, 617, 680, 741, 754, 798, 852, 855, 856, 857, 858, 859, 875, 888, 894, 897, 900, 901, 902, 903, 904, 918, 926, 930, 933, 936, 937, 938, 939, 940, 957, 970, 976, 979, 982, 983, 984, 985, 986, 1001, 1009, 1013, 1040, 1042, 1043, 1045, 1055, 1056, 1057, 1136, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1188, 1195, 1199, 1202, 1203, 1204, 1205, 1301, 1302, 1305, 1330, 1332, 1349, 1369, 1370, 1402, 1403, 1404, 1406, 1407, 1408, 1413, 1415, 1416, 1417, 1421, 1422, 1423, 1431, 1434], "recur": 11, "narcissist": 11, "happi": [11, 1419, 1422, 1429], "There": [11, 56, 98, 100, 104, 106, 113, 166, 185, 340, 343, 352, 455, 466, 498, 503, 506, 507, 510, 620, 621, 628, 634, 637, 681, 731, 733, 737, 739, 750, 752, 798, 864, 875, 909, 918, 945, 957, 991, 1001, 1040, 1120, 1300, 1332, 1336, 1403, 1413, 1414, 1416, 1418, 1436], "rich": [11, 53, 627, 760, 1331, 1406, 1415], "histori": [11, 93, 95, 100, 354], "mathemat": [11, 210, 211, 212, 213, 236, 264, 298, 299, 307, 308, 316, 317, 318, 321, 331, 332, 411, 446, 455, 464, 490, 492, 515, 516, 519, 520, 570, 574, 620, 695, 762, 1170, 1184, 1186, 1194, 1196, 1198, 1210, 1288, 1292, 1329], "recreat": [11, 413, 414, 418, 419, 420, 421, 1117], "most": [11, 81, 93, 102, 103, 104, 108, 111, 116, 122, 134, 200, 213, 236, 279, 297, 302, 303, 304, 309, 310, 324, 332, 363, 376, 380, 385, 386, 412, 413, 414, 420, 421, 424, 427, 428, 452, 462, 466, 493, 522, 523, 570, 574, 576, 580, 586, 588, 610, 620, 639, 640, 654, 660, 677, 688, 693, 694, 722, 762, 763, 764, 788, 793, 798, 889, 927, 966, 971, 1006, 1010, 1040, 1042, 1043, 1045, 1172, 1173, 1197, 1202, 1203, 1204, 1229, 1233, 1302, 1308, 1309, 1332, 1334, 1402, 1403, 1413, 1416, 1422, 1436], "famou": [11, 58, 1329], "collatz": 11, "see": [11, 46, 50, 53, 54, 57, 87, 89, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 106, 108, 111, 112, 116, 122, 129, 133, 152, 166, 203, 205, 209, 214, 218, 221, 223, 224, 228, 231, 232, 233, 244, 253, 254, 257, 258, 259, 260, 261, 268, 272, 273, 275, 276, 278, 279, 282, 283, 285, 286, 287, 288, 289, 297, 298, 304, 307, 315, 324, 328, 340, 348, 349, 354, 370, 375, 379, 380, 382, 383, 385, 386, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 429, 466, 472, 482, 490, 496, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 518, 547, 567, 568, 576, 588, 590, 591, 616, 618, 621, 622, 627, 649, 683, 684, 685, 686, 688, 689, 694, 695, 696, 700, 701, 703, 712, 724, 737, 739, 740, 749, 762, 784, 788, 798, 855, 864, 892, 893, 900, 909, 928, 929, 936, 945, 974, 975, 982, 991, 1011, 1012, 1040, 1042, 1043, 1097, 1103, 1105, 1108, 1122, 1123, 1125, 1126, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1159, 1160, 1164, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1213, 1216, 1220, 1223, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1275, 1279, 1281, 1282, 1283, 1287, 1292, 1295, 1297, 1299, 1302, 1325, 1330, 1332, 1343, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1379, 1381, 1382, 1387, 1389, 1390, 1391, 1394, 1397, 1398, 1402, 1403, 1404, 1406, 1408, 1409, 1410, 1411, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1426, 1436], "collatz_problem_digraph": 11, "conjectur": [11, 39, 1270], "still": [11, 25, 35, 92, 96, 100, 101, 103, 104, 583, 584, 585, 591, 617, 630, 631, 632, 694, 1066, 1223, 1402, 1411, 1413, 1414, 1415, 1416, 1418, 1422, 1434], "unproven": 11, "even": [11, 93, 95, 100, 106, 111, 181, 231, 232, 236, 244, 290, 312, 385, 400, 491, 500, 514, 518, 519, 617, 661, 706, 719, 732, 798, 873, 916, 949, 954, 995, 998, 1040, 1042, 1043, 1045, 1181, 1191, 1213, 1215, 1216, 1219, 1221, 1228, 1245, 1300, 1302, 1334, 1390, 1413, 1415, 1421, 1425, 1436], "great": [11, 95, 98, 1416], "paul": [11, 92, 439, 1185], "erdo": [11, 61, 73, 87, 595, 1421], "said": [11, 98, 100, 316, 332, 387, 580, 764], "yet": [11, 70, 98, 106, 108, 216, 375, 706, 719, 798, 1040, 1042, 1043, 1045, 1048, 1213, 1216, 1332, 1334], "readi": [11, 98, 100, 1127, 1129, 1219, 1302, 1332, 1413], "offer": [11, 102, 106, 680, 1436], "500": [11, 12, 16, 39, 65, 233, 1118, 1171], "its": [11, 55, 56, 94, 100, 101, 104, 105, 108, 111, 145, 168, 200, 213, 214, 218, 223, 224, 230, 241, 259, 265, 275, 283, 285, 287, 288, 289, 295, 312, 313, 314, 316, 322, 325, 326, 330, 332, 339, 347, 348, 349, 354, 360, 372, 375, 380, 382, 385, 386, 389, 442, 472, 493, 496, 513, 514, 583, 585, 587, 589, 590, 617, 690, 724, 734, 740, 753, 760, 762, 793, 866, 889, 911, 927, 947, 971, 993, 1010, 1045, 1064, 1069, 1085, 1158, 1161, 1168, 1171, 1191, 1196, 1201, 1208, 1213, 1216, 1217, 1222, 1223, 1231, 1239, 1240, 1241, 1247, 1251, 1270, 1281, 1283, 1284, 1285, 1293, 1294, 1325, 1332, 1404, 1408, 1413, 1421, 1430, 1434, 1436], "solut": [11, 14, 45, 102, 103, 105, 219, 220, 222, 228, 229, 230, 231, 232, 233, 257, 278, 279, 282, 312, 313, 326, 424, 466, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 567, 763, 1046, 1326, 1327, 1373, 1374, 1394, 1420, 1422], "3x": 11, "thwait": 11, "cubing_153_digraph": 11, "10000": [11, 297, 1208], "shortest": [11, 20, 72, 113, 216, 217, 226, 227, 233, 258, 285, 296, 298, 299, 300, 302, 303, 307, 308, 309, 310, 311, 316, 317, 321, 323, 328, 329, 332, 453, 472, 475, 487, 488, 489, 498, 502, 510, 512, 571, 610, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 682, 684, 686, 700, 754, 755, 760, 784, 1331, 1332, 1403, 1404, 1408, 1411, 1412, 1415, 1416, 1420, 1421, 1423, 1433, 1434], "path": [11, 20, 21, 24, 40, 48, 68, 72, 87, 94, 95, 100, 103, 113, 115, 153, 215, 216, 217, 221, 226, 227, 228, 233, 250, 258, 262, 263, 264, 268, 269, 285, 288, 296, 298, 299, 300, 302, 303, 307, 308, 309, 310, 311, 315, 316, 317, 321, 323, 328, 329, 331, 332, 334, 335, 340, 344, 412, 415, 416, 417, 418, 419, 420, 421, 425, 427, 428, 452, 453, 454, 455, 456, 458, 460, 461, 462, 467, 469, 470, 471, 472, 475, 487, 488, 489, 491, 493, 495, 496, 498, 500, 501, 502, 503, 504, 505, 508, 509, 510, 511, 512, 522, 523, 567, 579, 583, 587, 589, 610, 621, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 679, 680, 681, 682, 684, 686, 694, 699, 700, 719, 720, 732, 754, 755, 760, 784, 793, 856, 901, 937, 983, 1045, 1046, 1056, 1074, 1084, 1111, 1124, 1126, 1127, 1128, 1129, 1133, 1135, 1152, 1158, 1162, 1163, 1165, 1170, 1183, 1223, 1242, 1278, 1302, 1306, 1329, 1331, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1355, 1356, 1358, 1360, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1384, 1386, 1388, 1403, 1404, 1407, 1408, 1410, 1411, 1412, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1430, 1432, 1433, 1434, 1436], "nmax": 11, "digitsrep": [11, 1416], "compris": [11, 33, 105, 282], "nonneg": [11, 431, 518, 590, 1181, 1183, 1421], "dlist": 11, "while": [11, 14, 55, 95, 101, 102, 103, 106, 166, 169, 190, 230, 316, 332, 360, 452, 466, 467, 468, 588, 617, 655, 695, 696, 706, 719, 721, 722, 735, 762, 788, 864, 867, 880, 909, 912, 945, 948, 962, 991, 994, 1041, 1092, 1093, 1120, 1139, 1141, 1213, 1216, 1225, 1242, 1278, 1308, 1332, 1334, 1349, 1351, 1356, 1413, 1425, 1429, 1430, 1434, 1436], "prepend": 11, "signific": [11, 95, 108, 1332, 1402, 1403, 1414, 1415], "floor": [11, 1207], "divis": [11, 66, 290, 569, 576, 588, 1228], "attractor153_graph": 11, "k1": [11, 359, 679], "knext": 11, "squaring_cycle_graph_old": 11, "stop": [11, 53, 93, 102, 142, 312, 313, 325, 376, 382, 383, 385, 566, 568, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 658, 659, 662, 663, 664, 669, 670, 671, 679, 680, 719, 720, 1045, 1120, 1387, 1388, 1411], "out_degre": [11, 167, 176, 493, 680, 865, 871, 946, 952, 1183, 1213, 1214, 1413, 1415, 1416, 1436], "alreadi": [11, 98, 112, 152, 203, 230, 346, 350, 351, 355, 356, 371, 478, 561, 694, 695, 696, 706, 719, 753, 798, 855, 892, 900, 928, 936, 956, 974, 982, 1000, 1011, 1040, 1042, 1043, 1276, 1301, 1302, 1308, 1332, 1387, 1415, 1436], "out": [11, 17, 93, 94, 95, 100, 102, 106, 107, 108, 111, 117, 129, 169, 189, 190, 200, 222, 236, 240, 241, 242, 243, 244, 245, 248, 273, 290, 312, 313, 320, 323, 325, 326, 330, 339, 358, 359, 361, 362, 382, 387, 434, 435, 436, 437, 438, 450, 511, 515, 524, 525, 526, 623, 695, 704, 867, 879, 880, 889, 912, 927, 948, 961, 962, 971, 994, 1010, 1064, 1085, 1132, 1174, 1183, 1184, 1191, 1192, 1195, 1213, 1214, 1276, 1278, 1293, 1304, 1408, 1415, 1416, 1418, 1422, 1425, 1428, 1436], "break": [11, 96, 104, 105, 165, 217, 221, 341, 376, 412, 415, 416, 429, 430, 466, 1041, 1046, 1347, 1350, 1361, 1364, 1412, 1413], "sum_of_digits_graph": 11, "discrete_dynamics_digraph": 11, "squaring_cycle_digraph": 11, "itermax": 11, "50000": 11, "kold": 11, "knew": 11, "exceed": [11, 344, 1231], "els": [11, 13, 20, 26, 35, 63, 69, 89, 90, 95, 103, 200, 387, 429, 567, 583, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 748, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 889, 927, 971, 1010, 1214, 1302, 1306, 1361, 1364, 1415, 1422], "fixed_point": 11, "shortest_path": [11, 72, 233, 329, 502, 510, 628, 634, 641, 643, 645, 655, 659, 679, 680, 682, 700, 760, 1404, 1407, 1408, 1411, 1413, 1415, 1416, 1418, 1421, 1422, 1425, 1436], "137": [11, 18, 1179], "plot_iterated_dynamical_system": [11, 18], "023": 12, "102": [12, 71, 750, 751, 752, 1280], "231": [12, 279], "389": 12, "222": [12, 41, 58, 60, 321, 620, 1245, 1436], "444": 12, "333": 12, "667": 12, "556": 12, "close": [12, 66, 84, 94, 97, 110, 115, 250, 259, 268, 300, 301, 304, 317, 323, 324, 334, 335, 354, 454, 455, 490, 494, 595, 684, 697, 753, 760, 788, 1048, 1120, 1212, 1302, 1306, 1343, 1403, 1406, 1409, 1410, 1415, 1420, 1423, 1428], "529": [12, 1407, 1415], "643": 12, "429": [12, 41, 48], "310": 12, "3f": [12, 84], "degree_centr": [12, 258, 259, 300, 318, 319, 320, 321, 322, 323, 330], "closeness_centr": [12, 258, 260, 304, 317, 321, 323, 324, 753, 1407, 1430], "367": [12, 684], "094": [12, 18, 90, 91], "plot_krackhardt_centr": [12, 18], "vertic": [13, 115, 116, 212, 213, 250, 282, 323, 375, 389, 391, 392, 439, 479, 480, 481, 482, 490, 493, 494, 516, 517, 520, 620, 621, 769, 1101, 1104, 1109, 1112, 1127, 1129, 1140, 1142, 1170, 1175, 1186, 1196, 1198, 1212, 1219, 1221, 1223, 1224, 1225, 1256, 1259, 1269, 1270, 1277, 1329, 1436], "where": [13, 26, 44, 45, 56, 78, 93, 94, 95, 96, 98, 100, 102, 103, 105, 107, 110, 113, 115, 133, 146, 153, 159, 185, 194, 200, 207, 211, 220, 227, 228, 232, 233, 235, 236, 237, 240, 241, 242, 250, 258, 259, 260, 261, 262, 263, 276, 283, 285, 288, 290, 294, 295, 297, 298, 299, 300, 301, 302, 303, 305, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 330, 332, 334, 336, 338, 357, 358, 359, 360, 363, 364, 372, 373, 374, 382, 385, 386, 387, 388, 392, 415, 424, 425, 426, 439, 452, 454, 455, 456, 460, 464, 466, 472, 479, 481, 483, 484, 515, 517, 518, 519, 520, 523, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 587, 589, 592, 595, 608, 624, 625, 627, 631, 635, 638, 654, 660, 661, 662, 666, 669, 673, 675, 677, 678, 679, 684, 686, 688, 689, 690, 691, 693, 699, 705, 708, 709, 713, 719, 720, 721, 751, 856, 859, 875, 884, 889, 901, 904, 918, 923, 927, 940, 957, 966, 971, 986, 1001, 1006, 1010, 1038, 1046, 1049, 1063, 1071, 1086, 1088, 1097, 1105, 1120, 1151, 1181, 1185, 1187, 1196, 1199, 1202, 1203, 1204, 1212, 1236, 1241, 1245, 1246, 1283, 1286, 1289, 1290, 1291, 1292, 1293, 1294, 1325, 1332, 1403, 1414, 1415, 1416, 1422, 1436], "adjac": [13, 21, 44, 55, 59, 64, 89, 102, 113, 115, 121, 160, 167, 170, 176, 189, 191, 195, 201, 208, 211, 213, 216, 239, 242, 243, 244, 245, 248, 250, 253, 283, 301, 312, 313, 314, 325, 326, 334, 335, 343, 345, 354, 373, 374, 378, 385, 386, 387, 414, 430, 482, 485, 486, 514, 521, 586, 587, 589, 590, 595, 607, 608, 610, 681, 777, 798, 851, 860, 865, 871, 879, 881, 885, 890, 894, 896, 905, 910, 924, 930, 932, 941, 946, 952, 963, 967, 972, 976, 978, 987, 992, 1007, 1013, 1022, 1023, 1040, 1042, 1043, 1078, 1094, 1095, 1097, 1098, 1101, 1102, 1104, 1105, 1106, 1108, 1173, 1197, 1223, 1226, 1275, 1277, 1284, 1285, 1286, 1287, 1291, 1292, 1293, 1294, 1295, 1329, 1331, 1332, 1333, 1336, 1337, 1338, 1339, 1340, 1365, 1366, 1375, 1376, 1377, 1378, 1392, 1393, 1402, 1408, 1415, 1416, 1422, 1423, 1434, 1436], "approxim": [13, 45, 94, 210, 211, 212, 213, 214, 215, 216, 217, 219, 220, 221, 222, 227, 228, 229, 230, 231, 232, 233, 236, 297, 298, 307, 424, 675, 676, 677, 683, 684, 685, 686, 760, 1046, 1118, 1171, 1240, 1275, 1331, 1404, 1408, 1409, 1415, 1416, 1422, 1431, 1434], "approx": [13, 216, 217, 228, 230, 231, 232, 1422], "maximum_independent_set": [13, 1422], "39299899": 13, "103": [13, 18, 25, 48, 221, 429, 1228, 1294, 1298], "plot_maximum_independent_set": [13, 18], "multiprocess": 14, "modul": [14, 94, 96, 104, 116, 126, 166, 203, 205, 368, 723, 762, 764, 772, 791, 793, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1041, 1045, 1302, 1329, 1332, 1351, 1354, 1355, 1356, 1395, 1402, 1404, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1429, 1434, 1436], "librari": [14, 46, 50, 59, 94, 95, 96, 97, 100, 101, 102, 104, 105, 110, 166, 203, 205, 278, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1308, 1364, 1389, 1391, 1394, 1408, 1411, 1414, 1415, 1422, 1434], "accept": [14, 93, 94, 95, 101, 102, 103, 104, 105, 108, 113, 230, 231, 232, 286, 344, 348, 349, 355, 380, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 473, 474, 475, 476, 477, 504, 505, 508, 509, 590, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 791, 1105, 1199, 1205, 1302, 1306, 1402, 1404, 1411, 1413, 1414, 1415, 1416, 1421, 1422, 1423, 1434], "bunch": [14, 961, 1415], "contribut": [14, 92, 94, 95, 97, 101, 106, 108, 109, 110, 291, 519, 520, 1284, 1285, 1404, 1411, 1414, 1416, 1421], "whole": [14, 261, 622, 623, 1428], "divid": [14, 258, 260, 264, 305, 311, 322, 330, 388, 464, 588, 690, 1425], "chunk": 14, "note": [14, 26, 27, 35, 56, 70, 94, 95, 96, 103, 104, 105, 107, 111, 113, 134, 142, 143, 144, 152, 153, 157, 158, 159, 166, 168, 169, 181, 182, 185, 190, 194, 196, 200, 202, 203, 205, 208, 211, 212, 213, 216, 217, 219, 220, 221, 222, 225, 227, 230, 231, 232, 233, 236, 237, 239, 242, 244, 245, 247, 248, 249, 250, 253, 254, 256, 258, 259, 260, 261, 265, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 339, 340, 343, 344, 345, 347, 348, 349, 350, 351, 353, 354, 357, 358, 359, 360, 362, 364, 373, 374, 375, 376, 380, 382, 388, 389, 391, 392, 393, 394, 396, 397, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 428, 429, 430, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 445, 449, 451, 452, 453, 454, 455, 456, 457, 459, 462, 464, 466, 467, 468, 470, 478, 481, 484, 485, 487, 488, 489, 490, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 520, 521, 547, 551, 552, 553, 557, 561, 562, 566, 567, 568, 577, 579, 583, 584, 587, 588, 589, 591, 592, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 609, 610, 611, 612, 613, 614, 618, 620, 621, 623, 627, 628, 630, 631, 632, 633, 634, 637, 638, 640, 641, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 677, 679, 680, 681, 682, 683, 684, 685, 686, 688, 690, 692, 693, 694, 695, 696, 699, 700, 701, 702, 703, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 730, 731, 732, 733, 735, 736, 737, 738, 739, 741, 742, 743, 744, 745, 750, 751, 755, 762, 788, 851, 855, 856, 857, 858, 859, 864, 866, 867, 873, 874, 875, 880, 884, 886, 889, 891, 892, 893, 894, 896, 900, 901, 902, 903, 904, 909, 911, 912, 916, 917, 918, 923, 925, 927, 928, 929, 930, 932, 933, 936, 937, 938, 939, 940, 945, 947, 948, 954, 955, 956, 957, 962, 966, 968, 971, 973, 974, 975, 976, 978, 979, 982, 983, 984, 985, 986, 991, 993, 994, 998, 999, 1000, 1001, 1006, 1008, 1010, 1011, 1012, 1013, 1041, 1042, 1043, 1049, 1050, 1062, 1063, 1064, 1066, 1069, 1071, 1085, 1088, 1089, 1090, 1092, 1093, 1097, 1098, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1109, 1110, 1112, 1117, 1118, 1119, 1121, 1122, 1123, 1125, 1126, 1131, 1132, 1133, 1136, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1157, 1158, 1160, 1163, 1166, 1168, 1171, 1172, 1173, 1174, 1176, 1178, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1191, 1192, 1193, 1194, 1195, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1213, 1214, 1216, 1222, 1223, 1224, 1225, 1228, 1230, 1231, 1232, 1234, 1236, 1238, 1239, 1240, 1241, 1243, 1244, 1245, 1247, 1257, 1261, 1275, 1277, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1295, 1297, 1299, 1300, 1301, 1302, 1304, 1306, 1309, 1325, 1326, 1327, 1329, 1337, 1339, 1340, 1343, 1344, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1369, 1370, 1371, 1377, 1385, 1386, 1387, 1388, 1403, 1408, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1428, 1431, 1434, 1436], "non": [14, 93, 101, 102, 113, 115, 152, 195, 216, 227, 250, 314, 318, 319, 320, 332, 333, 340, 341, 342, 343, 344, 349, 388, 389, 391, 392, 396, 414, 421, 430, 469, 470, 513, 514, 547, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 587, 589, 595, 617, 618, 662, 663, 664, 709, 729, 741, 760, 762, 855, 885, 900, 924, 936, 967, 982, 1007, 1079, 1080, 1088, 1105, 1161, 1181, 1183, 1186, 1214, 1225, 1228, 1241, 1252, 1270, 1301, 1317, 1325, 1331, 1351, 1356, 1362, 1363, 1382, 1387, 1388, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426], "faster": [14, 56, 144, 227, 245, 298, 299, 307, 308, 331, 353, 357, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 470, 547, 561, 661, 740, 763, 788, 1230, 1232, 1234, 1236, 1237, 1238, 1364, 1402, 1403, 1404, 1407, 1408, 1410, 1411, 1413, 1415, 1416, 1420, 1421, 1423], "limit": [14, 26, 85, 100, 111, 112, 258, 354, 376, 385, 462, 577, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 1046, 1139, 1332, 1418, 1421, 1422], "our": [14, 55, 93, 94, 95, 96, 97, 98, 101, 102, 108, 112, 312, 1332, 1390, 1402, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "ci": [14, 107, 1420, 1421, 1422, 1423, 1429, 1430], "cd": [14, 107, 112, 590], "core": [14, 89, 97, 100, 102, 108, 110, 221, 434, 435, 436, 437, 438, 439, 440, 620, 621, 760, 788, 1331, 1391, 1414, 1423, 1434], "your": [14, 44, 53, 56, 92, 93, 94, 95, 98, 100, 106, 107, 112, 185, 208, 231, 232, 233, 300, 364, 455, 468, 588, 731, 733, 763, 782, 798, 875, 894, 918, 930, 957, 976, 1001, 1013, 1040, 1041, 1042, 1043, 1045, 1069, 1085, 1103, 1123, 1129, 1132, 1160, 1181, 1332, 1334, 1412, 1413, 1418, 1434, 1436], "setup": [14, 1415, 1416, 1420, 1421, 1422, 1423], "you": [14, 35, 44, 50, 53, 57, 66, 76, 89, 92, 93, 94, 98, 100, 106, 107, 111, 112, 116, 126, 133, 153, 158, 159, 166, 185, 186, 196, 200, 203, 204, 205, 206, 208, 231, 232, 239, 244, 252, 270, 272, 274, 277, 283, 300, 302, 303, 309, 310, 325, 326, 329, 350, 351, 364, 383, 385, 392, 394, 401, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 454, 462, 468, 493, 494, 496, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 561, 577, 585, 588, 600, 601, 604, 635, 649, 654, 656, 657, 659, 680, 681, 682, 690, 700, 701, 723, 731, 733, 751, 753, 763, 772, 791, 798, 856, 858, 859, 864, 875, 876, 886, 889, 892, 893, 894, 901, 903, 904, 909, 918, 919, 925, 927, 928, 929, 930, 937, 939, 940, 945, 949, 957, 958, 968, 971, 974, 975, 976, 983, 985, 986, 991, 995, 1001, 1002, 1008, 1010, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1064, 1066, 1069, 1085, 1088, 1089, 1123, 1127, 1128, 1129, 1132, 1136, 1156, 1158, 1160, 1163, 1165, 1166, 1169, 1171, 1181, 1183, 1195, 1202, 1203, 1204, 1222, 1228, 1287, 1302, 1332, 1334, 1336, 1347, 1350, 1351, 1354, 1355, 1356, 1358, 1360, 1365, 1371, 1382, 1384, 1386, 1389, 1390, 1391, 1393, 1402, 1403, 1411, 1412, 1413, 1414, 1416, 1418, 1419, 1434, 1436], "like": [14, 59, 93, 94, 95, 96, 97, 100, 102, 103, 104, 106, 108, 133, 160, 166, 169, 185, 190, 191, 200, 201, 203, 205, 208, 221, 353, 462, 514, 527, 537, 547, 557, 579, 595, 599, 617, 655, 673, 674, 675, 676, 681, 684, 690, 705, 722, 725, 726, 727, 728, 762, 764, 798, 801, 802, 806, 807, 810, 811, 814, 815, 818, 819, 822, 823, 827, 828, 832, 833, 837, 838, 842, 843, 847, 848, 860, 864, 867, 875, 880, 881, 889, 890, 892, 893, 894, 905, 909, 912, 918, 927, 928, 929, 930, 941, 945, 948, 949, 957, 962, 963, 971, 972, 974, 975, 976, 987, 991, 994, 995, 1001, 1010, 1011, 1012, 1013, 1014, 1040, 1041, 1042, 1043, 1044, 1045, 1049, 1064, 1085, 1088, 1089, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1139, 1141, 1160, 1171, 1181, 1183, 1191, 1228, 1235, 1240, 1302, 1303, 1304, 1305, 1306, 1307, 1330, 1332, 1333, 1334, 1358, 1362, 1363, 1384, 1386, 1393, 1403, 1404, 1413, 1414, 1415, 1416, 1418, 1419, 1422, 1434, 1436], "speedup": [14, 95, 700, 701, 1407, 1415, 1417, 1420, 1421], "1000": [14, 31, 32, 35, 208, 214, 325, 678, 894, 930, 976, 1013, 1208, 1241], "2991": 14, "version": [14, 26, 42, 53, 70, 89, 92, 94, 100, 104, 107, 166, 168, 221, 233, 273, 276, 278, 298, 333, 334, 335, 339, 346, 348, 349, 350, 351, 354, 356, 375, 380, 407, 408, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 454, 455, 457, 500, 504, 505, 508, 509, 620, 621, 635, 687, 734, 740, 762, 864, 866, 909, 911, 945, 947, 991, 993, 1041, 1050, 1131, 1132, 1172, 1173, 1188, 1190, 1192, 1205, 1213, 1302, 1314, 1332, 1347, 1348, 1350, 1364, 1369, 1370, 1390, 1406, 1407, 1411, 1412, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1432, 1433, 1434, 1436], "5743": [14, 1434], "09629": 14, "0793": 14, "4956": 14, "1428": 14, "00350": 14, "4676": 14, "2000": [14, 34, 66, 83, 314, 754, 1201, 1211, 1235, 1416], "0898": 14, "00332": 14, "6499": 14, "pool": 14, "itertool": [14, 37, 103, 208, 376, 413, 414, 418, 420, 425, 427, 428, 599, 680, 682, 894, 930, 976, 1013, 1100, 1421], "l": [14, 16, 26, 32, 44, 68, 92, 111, 113, 129, 158, 227, 275, 323, 364, 381, 382, 388, 411, 440, 455, 457, 490, 492, 515, 516, 517, 520, 521, 522, 523, 557, 575, 592, 621, 684, 686, 695, 754, 759, 764, 858, 903, 939, 985, 1170, 1172, 1173, 1175, 1176, 1177, 1184, 1185, 1186, 1188, 1189, 1190, 1193, 1201, 1202, 1203, 1204, 1205, 1207, 1212, 1213, 1214, 1215, 1216, 1222, 1223, 1229, 1235, 1272, 1275, 1286, 1289, 1290, 1291, 1292, 1296, 1308, 1309, 1329, 1387, 1410, 1418, 1419], "l_c": [14, 387], "tupl": [14, 89, 103, 152, 153, 157, 158, 159, 161, 169, 171, 172, 176, 177, 184, 185, 189, 190, 193, 194, 208, 210, 225, 234, 235, 246, 247, 248, 253, 267, 268, 296, 309, 310, 311, 323, 376, 379, 388, 398, 424, 442, 452, 459, 460, 466, 470, 479, 480, 491, 508, 523, 566, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 586, 588, 590, 595, 599, 603, 606, 607, 609, 612, 613, 616, 618, 628, 642, 659, 662, 666, 669, 673, 674, 675, 692, 706, 712, 719, 720, 721, 730, 732, 736, 738, 741, 747, 793, 855, 856, 857, 858, 859, 861, 867, 868, 869, 871, 872, 875, 879, 880, 883, 884, 894, 900, 901, 902, 903, 904, 906, 912, 913, 914, 918, 922, 923, 930, 936, 937, 938, 939, 940, 942, 948, 949, 950, 952, 953, 957, 961, 962, 965, 966, 976, 982, 983, 984, 985, 986, 988, 994, 995, 996, 1001, 1005, 1006, 1013, 1048, 1067, 1073, 1075, 1087, 1088, 1096, 1100, 1111, 1120, 1139, 1140, 1141, 1143, 1157, 1199, 1205, 1213, 1218, 1223, 1246, 1280, 1288, 1302, 1309, 1313, 1318, 1330, 1332, 1339, 1342, 1343, 1344, 1402, 1403, 1408, 1415, 1416, 1421, 1423, 1434, 1436], "islic": [14, 376, 682], "betweenness_centrality_parallel": 14, "node_divisor": 14, "_pool": 14, "node_chunk": 14, "num_chunk": 14, "bt_sc": 14, "starmap": [14, 680, 1421], "betweenness_centrality_subset": [14, 298, 1408], "reduc": [14, 15, 94, 100, 103, 108, 110, 231, 236, 345, 379, 387, 621, 692, 788, 798, 1040, 1042, 1043, 1170, 1202, 1203, 1204, 1242, 1326, 1327, 1329, 1420, 1421], "partial": [14, 92, 424, 459, 536, 546, 680, 1194, 1301, 1329, 1420, 1421, 1422, 1434], "bt_c": 14, "bt": 14, "g_ba": 14, "barabasi_albert_graph": [14, 31, 1422, 1436], "g_er": 14, "g_w": 14, "connected_watts_strogatz_graph": [14, 1247], "tparallel": 14, "ttime": 14, "4f": 14, "tbetween": 14, "5f": 14, "tnon": 14, "29": [14, 18, 65, 67, 69, 294, 347, 348, 385, 386, 427, 705, 1412, 1422], "690": [14, 18, 579], "plot_parallel_between": [14, 18], "matric": [15, 110, 283, 291, 297, 302, 303, 304, 309, 310, 324, 1105, 1108, 1226, 1275, 1286, 1326, 1327, 1331, 1395, 1401, 1407, 1408, 1410, 1411, 1415, 1416, 1423], "give": [15, 71, 95, 98, 100, 101, 102, 106, 172, 215, 216, 217, 223, 230, 298, 300, 307, 319, 320, 323, 343, 360, 379, 487, 510, 633, 705, 724, 869, 914, 949, 950, 995, 996, 1041, 1045, 1179, 1199, 1250, 1300, 1329, 1332, 1358, 1360, 1384, 1386, 1390], "spars": [15, 94, 110, 283, 284, 291, 302, 303, 309, 310, 313, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 617, 688, 751, 788, 798, 852, 897, 933, 979, 1040, 1041, 1042, 1043, 1044, 1100, 1104, 1108, 1118, 1179, 1230, 1234, 1236, 1237, 1238, 1241, 1285, 1286, 1287, 1288, 1291, 1292, 1326, 1327, 1332, 1395, 1398, 1401, 1403, 1411, 1414, 1415, 1423, 1433, 1434], "bandwidth": [15, 1326, 1327], "unord": 15, "laplacian": [15, 44, 302, 303, 309, 310, 327, 478, 760, 1118, 1281, 1282, 1283, 1286, 1289, 1290, 1291, 1292, 1297, 1299, 1331, 1407, 1410, 1415, 1421, 1423, 1434], "seaborn": 15, "sn": 15, "rcm": [15, 1326, 1327, 1422], "reverse_cuthill_mckee_ord": [15, 1326], "laplacian_matrix": [15, 327, 1281, 1282, 1283, 1286, 1289, 1290, 1292, 1297, 1410, 1423], "nonzero": [15, 301, 306, 357, 1181, 1198, 1223], "lower": [15, 108, 110, 215, 216, 217, 218, 221, 228, 297, 301, 302, 303, 304, 309, 310, 324, 333, 385, 788, 1119, 1171, 1178, 1191, 1387, 1422], "upper": [15, 113, 301, 385, 1101, 1104, 1171, 1387, 1422], "heatmap": 15, "todens": [15, 777, 1108, 1287], "cbar": 15, "annot": [15, 107, 1390], "674": [15, 18], "plot_rcm": [15, 18], "attribut": [16, 17, 40, 50, 53, 56, 57, 62, 68, 74, 78, 79, 87, 89, 102, 103, 108, 116, 126, 152, 153, 157, 158, 159, 162, 163, 166, 167, 168, 169, 171, 176, 177, 180, 185, 189, 190, 193, 199, 200, 203, 205, 208, 209, 220, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 252, 253, 266, 270, 271, 272, 273, 274, 275, 276, 277, 283, 284, 285, 286, 287, 288, 289, 296, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 312, 313, 315, 316, 317, 321, 324, 325, 326, 328, 329, 331, 332, 352, 354, 357, 358, 380, 382, 383, 385, 386, 387, 393, 413, 414, 418, 419, 420, 421, 431, 432, 433, 435, 436, 437, 438, 439, 444, 445, 446, 447, 449, 450, 453, 460, 461, 462, 472, 473, 474, 475, 476, 477, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 521, 527, 537, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 563, 564, 565, 570, 574, 576, 583, 587, 589, 590, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 609, 612, 613, 617, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 682, 688, 689, 690, 691, 693, 721, 723, 724, 725, 726, 727, 728, 735, 736, 737, 738, 739, 740, 741, 753, 754, 755, 772, 798, 852, 855, 856, 857, 858, 859, 862, 864, 865, 866, 867, 868, 871, 872, 875, 879, 880, 883, 888, 889, 892, 893, 894, 897, 900, 901, 902, 903, 904, 907, 909, 910, 911, 912, 913, 918, 922, 926, 927, 928, 929, 930, 933, 936, 937, 938, 939, 940, 943, 945, 946, 947, 948, 949, 952, 953, 957, 961, 962, 970, 971, 974, 975, 976, 979, 982, 983, 984, 985, 986, 989, 991, 992, 993, 994, 995, 1001, 1009, 1010, 1011, 1012, 1013, 1023, 1040, 1041, 1042, 1043, 1045, 1049, 1050, 1055, 1056, 1057, 1064, 1067, 1068, 1069, 1073, 1075, 1084, 1085, 1087, 1088, 1089, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1111, 1118, 1120, 1121, 1127, 1128, 1129, 1139, 1141, 1157, 1171, 1176, 1195, 1199, 1200, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1219, 1221, 1223, 1273, 1275, 1276, 1278, 1284, 1285, 1287, 1293, 1294, 1300, 1302, 1330, 1331, 1332, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1368, 1369, 1370, 1371, 1372, 1382, 1387, 1388, 1391, 1402, 1404, 1406, 1407, 1408, 1411, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1430, 1434], "group": [16, 22, 67, 92, 93, 101, 221, 229, 239, 300, 316, 317, 318, 319, 320, 332, 387, 429, 466, 693, 760, 763, 788, 1175, 1176, 1177, 1179, 1196, 1239, 1255, 1273, 1332, 1402, 1403, 1406, 1409, 1415, 1417, 1420, 1422], "pairwis": [16, 37, 45, 103, 113, 215, 216, 230, 231, 232, 262, 263, 377, 425, 427, 428, 462, 680, 681, 693, 1223], "confus": [16, 102, 103, 166, 693, 864, 909, 945, 991, 1202, 1203, 1204, 1407, 1415, 1421], "stanford": [16, 35, 66, 70, 72, 568, 693, 1274], "analysi": [16, 24, 48, 51, 53, 56, 87, 101, 102, 104, 106, 108, 111, 229, 233, 258, 259, 260, 261, 262, 263, 287, 289, 290, 300, 306, 381, 385, 414, 433, 439, 464, 496, 502, 621, 693, 753, 760, 762, 764, 1045, 1207, 1239, 1331, 1414, 1418, 1419, 1421, 1423, 1436], "uniqu": [16, 28, 239, 256, 279, 312, 313, 380, 462, 466, 471, 561, 562, 567, 587, 589, 602, 606, 620, 621, 643, 645, 693, 734, 750, 936, 982, 1050, 1250, 1256, 1257, 1302, 1332, 1349, 1365, 1366, 1369, 1370, 1387, 1388, 1436], "combin": [16, 62, 103, 106, 205, 208, 381, 382, 387, 413, 414, 418, 420, 425, 577, 600, 602, 606, 680, 693, 893, 894, 930, 976, 1013, 1395, 1417], "type": [16, 71, 94, 96, 98, 101, 102, 103, 104, 105, 111, 166, 209, 242, 243, 244, 245, 248, 267, 268, 270, 271, 272, 274, 275, 277, 283, 284, 297, 302, 303, 304, 309, 310, 316, 324, 352, 353, 431, 498, 551, 552, 553, 557, 586, 587, 589, 590, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 654, 660, 673, 674, 675, 676, 692, 693, 695, 697, 713, 724, 750, 751, 752, 788, 864, 909, 945, 991, 1044, 1046, 1050, 1090, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1107, 1108, 1113, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1196, 1197, 1198, 1206, 1207, 1208, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1284, 1285, 1287, 1304, 1331, 1332, 1338, 1339, 1342, 1343, 1344, 1348, 1351, 1354, 1355, 1356, 1362, 1363, 1364, 1376, 1377, 1390, 1394, 1398, 1402, 1404, 1413, 1415, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1434, 1436], "other": [16, 17, 25, 42, 44, 51, 53, 57, 58, 59, 84, 89, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 110, 111, 116, 133, 135, 166, 209, 215, 216, 217, 227, 231, 232, 233, 236, 257, 259, 265, 268, 269, 283, 289, 290, 295, 298, 299, 306, 317, 321, 323, 325, 326, 329, 354, 360, 368, 375, 398, 399, 430, 454, 455, 462, 464, 475, 493, 504, 505, 508, 509, 529, 539, 561, 562, 567, 590, 604, 634, 635, 637, 638, 643, 655, 662, 663, 664, 667, 668, 669, 670, 671, 677, 678, 690, 693, 703, 725, 726, 727, 728, 736, 737, 738, 739, 753, 754, 764, 791, 793, 798, 864, 909, 945, 950, 991, 996, 1040, 1041, 1042, 1043, 1045, 1057, 1105, 1106, 1117, 1119, 1129, 1139, 1151, 1153, 1157, 1160, 1171, 1180, 1186, 1192, 1200, 1201, 1203, 1204, 1228, 1235, 1275, 1284, 1285, 1287, 1292, 1295, 1297, 1299, 1302, 1308, 1330, 1331, 1332, 1334, 1343, 1344, 1345, 1351, 1354, 1355, 1356, 1387, 1388, 1390, 1391, 1403, 1405, 1407, 1412, 1413, 1414, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1426, 1434, 1436], "produc": [16, 45, 50, 104, 116, 227, 247, 248, 273, 281, 298, 299, 307, 308, 316, 317, 327, 331, 332, 348, 424, 462, 567, 603, 614, 631, 634, 635, 637, 638, 679, 680, 682, 693, 788, 1100, 1105, 1106, 1108, 1128, 1171, 1185, 1187, 1195, 1218, 1242, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1401, 1408, 1415, 1417, 1425, 1426], "infer": [16, 697, 1107, 1121, 1364, 1421], "differ": [16, 26, 28, 29, 34, 42, 54, 55, 58, 64, 72, 87, 93, 94, 95, 96, 100, 104, 113, 162, 165, 166, 205, 208, 216, 217, 224, 281, 283, 298, 299, 315, 316, 328, 332, 336, 337, 339, 343, 360, 363, 373, 374, 375, 376, 380, 412, 415, 416, 417, 437, 439, 511, 513, 514, 595, 604, 617, 706, 719, 720, 740, 752, 760, 774, 788, 864, 893, 894, 909, 930, 945, 975, 976, 991, 1013, 1105, 1108, 1139, 1171, 1175, 1176, 1177, 1199, 1204, 1213, 1261, 1275, 1293, 1302, 1332, 1371, 1372, 1390, 1403, 1413, 1414, 1415, 1422, 1423, 1434, 1436], "relat": [16, 35, 68, 93, 94, 96, 100, 101, 116, 130, 133, 221, 231, 298, 368, 372, 588, 590, 621, 690, 764, 769, 797, 1208, 1211, 1275, 1329, 1404, 1411, 1415, 1422, 1425, 1434], "strong": [16, 399, 513, 514, 519, 612, 621, 693, 701, 760, 1417], "weak": [16, 400, 693, 760, 1434], "number_of_nod": [16, 26, 81, 157, 188, 312, 325, 339, 385, 566, 583, 854, 857, 878, 899, 902, 921, 935, 938, 960, 981, 984, 1004, 1160, 1277, 1436], "7482934": 16, "_": [16, 17, 27, 39, 94, 301, 335, 351, 358, 374, 407, 408, 427, 428, 504, 505, 508, 509, 571, 590, 632, 1222, 1358, 1360, 1384, 1386, 1420], "edge_type_visual_weight_lookup": 16, "edge_weight": [16, 384, 585], "node_attribut": [16, 693], "edge_attribut": [16, 284, 693, 1104], "summary_graph": [16, 693], "snap_aggreg": [16, 760, 1422], "prefix": [16, 68, 514, 692, 693, 1278, 1332, 1353, 1422, 1430], "aggreg": [16, 513, 514, 693, 788], "summary_po": 16, "8375428": 16, "edge_typ": 16, "get_edge_data": [16, 26, 1420], "321": [16, 18, 594], "plot_snap": [16, 18], "support": [17, 53, 78, 93, 94, 97, 101, 102, 103, 104, 227, 309, 323, 341, 342, 344, 345, 358, 375, 412, 413, 414, 420, 421, 466, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 599, 628, 629, 634, 635, 637, 638, 692, 740, 764, 777, 788, 798, 1040, 1041, 1042, 1043, 1117, 1119, 1152, 1308, 1332, 1347, 1348, 1350, 1359, 1360, 1361, 1362, 1363, 1364, 1385, 1386, 1389, 1391, 1395, 1403, 1404, 1405, 1407, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "unsupport": 17, "contain": [17, 26, 35, 46, 66, 70, 72, 89, 100, 103, 105, 115, 116, 145, 152, 153, 158, 159, 166, 167, 168, 169, 173, 176, 177, 178, 181, 189, 190, 194, 196, 200, 208, 213, 215, 221, 227, 237, 238, 239, 241, 242, 244, 246, 249, 250, 253, 254, 256, 257, 258, 259, 260, 261, 265, 267, 268, 271, 278, 279, 281, 282, 291, 294, 295, 300, 316, 321, 323, 340, 346, 348, 349, 352, 354, 355, 356, 357, 359, 360, 362, 375, 379, 381, 382, 383, 390, 402, 410, 416, 417, 429, 434, 435, 439, 442, 459, 483, 484, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 514, 515, 516, 518, 551, 552, 566, 570, 574, 576, 591, 595, 598, 601, 604, 623, 626, 633, 634, 654, 658, 660, 662, 663, 664, 689, 690, 691, 697, 725, 726, 727, 728, 751, 788, 798, 855, 856, 858, 859, 864, 865, 866, 867, 870, 871, 872, 873, 879, 880, 884, 886, 889, 894, 900, 901, 903, 904, 909, 910, 911, 912, 915, 916, 923, 925, 927, 930, 936, 937, 939, 940, 945, 946, 947, 948, 951, 952, 953, 954, 961, 962, 966, 968, 971, 976, 982, 983, 985, 986, 991, 992, 993, 994, 997, 998, 1006, 1008, 1010, 1013, 1040, 1041, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1064, 1069, 1088, 1089, 1090, 1097, 1100, 1103, 1105, 1106, 1108, 1109, 1121, 1133, 1146, 1156, 1157, 1158, 1160, 1163, 1170, 1179, 1206, 1207, 1212, 1213, 1214, 1217, 1257, 1292, 1302, 1303, 1304, 1308, 1328, 1329, 1330, 1332, 1337, 1340, 1358, 1362, 1365, 1366, 1369, 1370, 1377, 1384, 1398, 1404, 1412, 1413, 1415, 1416, 1418, 1420, 1421, 1423, 1432, 1434, 1436], "entir": [17, 96, 102, 166, 180, 185, 261, 362, 377, 579, 864, 875, 909, 918, 945, 957, 991, 1001, 1041, 1088, 1103, 1231, 1415, 1418], "adopt": [17, 97, 99, 102, 103, 108, 1414, 1423], "lobpcg": [17, 92, 1281, 1282, 1283], "python_exampl": 17, "graph_partit": 17, "categor": [17, 548, 549, 550, 613], "node_typ": [17, 1348, 1362, 1363], "supported_nod": 17, "unsupported_nod": 17, "remove_edges_from": [17, 90, 193, 455, 604, 883, 922, 965, 1005, 1181, 1183, 1228, 1402, 1403, 1421, 1429, 1434, 1436], "nbr": [17, 89, 160, 191, 200, 201, 208, 230, 231, 232, 286, 502, 508, 798, 860, 881, 889, 890, 894, 905, 927, 930, 941, 963, 971, 972, 976, 987, 1010, 1013, 1040, 1042, 1043, 1097, 1332, 1413, 1436], "adj": [17, 89, 200, 201, 208, 325, 326, 798, 851, 889, 890, 894, 896, 917, 927, 930, 932, 963, 971, 972, 976, 978, 999, 1010, 1013, 1040, 1042, 1043, 1097, 1332, 1413, 1420, 1426, 1434, 1436], "g_minus_h": 17, "strip": [17, 26, 70, 1221], "_node_color": 17, "_po": 17, "draw_networkx_edg": [17, 26, 27, 28, 29, 34, 36, 39, 40, 41, 42, 45, 47, 69, 84, 1136, 1139, 1140, 1142, 1143, 1420, 1422, 1434], "draw_networkx_label": [17, 26, 36, 39, 47, 72, 1136, 1139, 1140, 1141, 1143], "ncl": 17, "undirect": [17, 26, 35, 72, 94, 113, 178, 186, 205, 206, 210, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 225, 228, 229, 230, 231, 232, 233, 238, 240, 241, 247, 248, 265, 268, 276, 278, 279, 281, 282, 294, 295, 296, 298, 299, 301, 314, 316, 319, 320, 322, 323, 330, 332, 333, 334, 335, 339, 340, 343, 347, 348, 349, 350, 351, 352, 354, 355, 373, 374, 381, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 430, 432, 433, 439, 441, 442, 452, 465, 466, 467, 468, 469, 480, 481, 482, 483, 484, 487, 488, 489, 490, 492, 493, 494, 502, 561, 562, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 583, 584, 585, 592, 596, 597, 600, 602, 603, 607, 608, 609, 612, 613, 615, 617, 620, 621, 626, 627, 654, 660, 683, 684, 685, 686, 688, 689, 690, 691, 694, 696, 719, 720, 729, 732, 733, 734, 736, 737, 738, 739, 740, 744, 745, 755, 762, 763, 764, 769, 781, 793, 876, 893, 919, 929, 958, 975, 1002, 1012, 1039, 1041, 1059, 1063, 1091, 1093, 1101, 1104, 1118, 1127, 1128, 1129, 1139, 1141, 1152, 1172, 1173, 1179, 1181, 1188, 1190, 1193, 1195, 1196, 1197, 1199, 1202, 1203, 1204, 1205, 1208, 1212, 1213, 1223, 1225, 1236, 1249, 1250, 1253, 1256, 1257, 1258, 1260, 1265, 1279, 1281, 1282, 1284, 1285, 1288, 1304, 1329, 1332, 1333, 1339, 1347, 1348, 1350, 1357, 1358, 1359, 1360, 1377, 1383, 1384, 1385, 1386, 1387, 1389, 1391, 1397, 1398, 1404, 1410, 1411, 1413, 1415, 1417, 1420, 1423, 1426, 1436], "And": [17, 24, 48, 87, 94, 102, 108, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 469, 504, 505, 508, 509, 690, 1045, 1302, 1303, 1334, 1417, 1418, 1420, 1425, 1434], "specifi": [17, 25, 26, 63, 103, 152, 153, 158, 159, 168, 185, 186, 194, 208, 223, 224, 227, 233, 237, 239, 241, 242, 244, 245, 247, 248, 249, 261, 265, 267, 268, 269, 270, 272, 274, 277, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 300, 306, 311, 312, 321, 325, 328, 331, 340, 350, 351, 355, 358, 359, 376, 379, 412, 413, 414, 415, 416, 417, 420, 421, 435, 437, 438, 442, 444, 445, 446, 447, 449, 450, 451, 460, 475, 493, 496, 497, 500, 501, 512, 520, 554, 555, 556, 557, 566, 567, 568, 577, 579, 586, 590, 599, 603, 606, 610, 611, 637, 638, 662, 673, 674, 675, 676, 678, 688, 693, 694, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 723, 724, 753, 762, 855, 856, 858, 859, 866, 875, 876, 884, 894, 900, 901, 903, 904, 911, 918, 919, 923, 930, 936, 937, 939, 940, 947, 949, 950, 957, 958, 965, 966, 976, 982, 983, 985, 986, 993, 995, 996, 1001, 1002, 1005, 1006, 1013, 1045, 1046, 1064, 1073, 1074, 1075, 1084, 1097, 1098, 1099, 1101, 1102, 1107, 1120, 1136, 1139, 1140, 1141, 1142, 1143, 1157, 1160, 1171, 1181, 1183, 1184, 1187, 1188, 1195, 1199, 1202, 1203, 1204, 1205, 1208, 1213, 1216, 1217, 1218, 1225, 1228, 1241, 1248, 1281, 1282, 1283, 1284, 1285, 1300, 1301, 1302, 1303, 1306, 1321, 1329, 1330, 1332, 1334, 1337, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1354, 1355, 1356, 1362, 1363, 1366, 1369, 1370, 1387, 1388, 1390, 1402, 1406, 1407, 1408, 1411, 1412, 1413, 1415, 1416, 1421, 1425, 1436], "to_undirect": [17, 26, 70, 798, 1040, 1042, 1043, 1188, 1190, 1413, 1422, 1436], "magenta": 17, "six": 17, "classifi": [17, 514, 686, 752], "four": [17, 24, 48, 87, 100, 103, 166, 264, 587, 589, 694, 864, 909, 945, 991, 1042, 1043, 1170, 1199, 1205, 1217, 1329, 1416, 1417, 1423, 1436], "green": [17, 33, 39, 71, 94, 116, 466, 600, 762, 1045, 1308, 1336, 1403, 1421, 1436], "goal": [17, 89, 93, 100, 106, 108, 128, 385, 628, 629, 719, 720, 1045], "g_ex": 17, "m": [17, 26, 29, 31, 32, 64, 66, 68, 92, 94, 97, 103, 107, 111, 113, 129, 182, 192, 202, 210, 212, 213, 220, 228, 232, 236, 237, 239, 240, 241, 242, 244, 245, 249, 258, 259, 260, 264, 273, 275, 276, 279, 281, 283, 285, 294, 295, 297, 301, 302, 303, 309, 310, 316, 317, 318, 332, 340, 343, 345, 347, 354, 357, 358, 363, 364, 372, 382, 385, 387, 414, 431, 433, 434, 435, 453, 464, 481, 496, 500, 501, 511, 512, 513, 514, 521, 547, 557, 571, 584, 586, 587, 589, 590, 608, 616, 621, 627, 654, 660, 661, 686, 688, 693, 694, 708, 750, 751, 763, 764, 777, 874, 882, 891, 955, 964, 973, 1063, 1157, 1161, 1163, 1175, 1181, 1183, 1185, 1187, 1205, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1217, 1219, 1221, 1222, 1224, 1225, 1226, 1228, 1229, 1232, 1235, 1236, 1237, 1239, 1240, 1241, 1246, 1262, 1271, 1275, 1277, 1284, 1285, 1286, 1293, 1294, 1298, 1329, 1395, 1415, 1418, 1436], "node_color_list": 17, "nc": [17, 57], "spectral_layout": [17, 44, 1147, 1408, 1415], "subgraphs_of_g_ex": 17, "removed_edg": 17, "node_color_list_c": 17, "One": [17, 53, 56, 102, 103, 104, 116, 348, 547, 561, 562, 681, 686, 763, 1183, 1192, 1278, 1321, 1332, 1413, 1436], "g_ex_r": 17, "compos": [17, 270, 271, 272, 273, 274, 275, 276, 277, 602, 606, 760, 1409, 1415, 1416, 1426, 1432, 1434], "previous": [17, 92, 109, 113, 323, 616, 1188, 1189, 1190, 1404, 1416, 1426], "store": [17, 26, 40, 54, 55, 56, 58, 68, 87, 94, 98, 102, 103, 111, 159, 220, 221, 284, 291, 347, 348, 349, 433, 472, 473, 474, 475, 476, 477, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 587, 589, 617, 662, 666, 669, 721, 735, 741, 764, 788, 798, 859, 904, 940, 986, 1040, 1041, 1042, 1043, 1045, 1049, 1088, 1089, 1104, 1105, 1107, 1171, 1176, 1199, 1202, 1203, 1204, 1205, 1219, 1221, 1284, 1300, 1302, 1336, 1339, 1340, 1351, 1354, 1355, 1356, 1365, 1366, 1369, 1370, 1371, 1372, 1377, 1390, 1396, 1398, 1403, 1413, 1423], "assert": [17, 68, 89, 103, 1420, 1423, 1433, 1436], "is_isomorph": [17, 586, 587, 589, 590, 610, 673, 692, 741, 760, 763, 764, 1408, 1415], "015": [17, 18, 84, 348, 349], "plot_subgraph": [17, 18, 1423], "248": 18, "auto_examples_algorithm": 18, "read": [19, 23, 26, 41, 53, 55, 56, 58, 59, 66, 76, 87, 94, 95, 101, 106, 116, 160, 166, 168, 191, 201, 268, 585, 620, 798, 860, 864, 866, 881, 890, 905, 909, 911, 941, 945, 947, 949, 963, 972, 987, 991, 993, 995, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1064, 1069, 1085, 1086, 1091, 1124, 1149, 1150, 1276, 1302, 1331, 1332, 1335, 1336, 1339, 1343, 1344, 1348, 1349, 1351, 1354, 1355, 1356, 1357, 1358, 1360, 1362, 1363, 1373, 1374, 1377, 1381, 1383, 1384, 1386, 1389, 1390, 1391, 1394, 1395, 1396, 1397, 1398, 1403, 1404, 1406, 1407, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1422, 1423, 1427, 1433], "write": [19, 23, 50, 53, 76, 77, 78, 87, 90, 94, 100, 106, 111, 116, 268, 269, 472, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1045, 1050, 1126, 1129, 1135, 1306, 1331, 1332, 1335, 1336, 1340, 1343, 1345, 1346, 1350, 1351, 1354, 1355, 1356, 1358, 1360, 1363, 1364, 1378, 1381, 1382, 1384, 1386, 1387, 1388, 1389, 1390, 1391, 1395, 1396, 1398, 1404, 1406, 1407, 1408, 1410, 1411, 1414, 1415, 1420, 1421, 1423, 1434, 1436], "simpl": [19, 23, 24, 33, 48, 87, 94, 95, 98, 101, 104, 110, 111, 133, 185, 221, 230, 231, 232, 250, 288, 294, 301, 305, 314, 322, 330, 334, 335, 340, 345, 373, 374, 375, 382, 383, 425, 427, 440, 454, 455, 470, 481, 483, 484, 492, 498, 502, 506, 507, 510, 516, 519, 520, 596, 610, 626, 634, 679, 680, 681, 682, 688, 695, 760, 777, 782, 798, 875, 918, 957, 1001, 1040, 1041, 1042, 1043, 1101, 1102, 1103, 1136, 1139, 1181, 1183, 1186, 1187, 1213, 1214, 1215, 1216, 1223, 1225, 1228, 1258, 1275, 1302, 1329, 1331, 1332, 1334, 1336, 1357, 1358, 1359, 1360, 1387, 1390, 1396, 1404, 1410, 1413, 1415, 1416, 1421, 1422, 1430, 1436], "lollipop": [20, 1163, 1436], "vertex": [20, 116, 212, 236, 250, 282, 290, 316, 323, 332, 340, 361, 362, 375, 389, 396, 399, 429, 430, 434, 440, 479, 493, 582, 608, 617, 618, 621, 624, 625, 626, 690, 691, 760, 1170, 1191, 1196, 1212, 1224, 1225, 1228, 1257, 1329, 1332, 1409, 1415, 1416], "length": [20, 40, 53, 68, 103, 121, 152, 233, 289, 296, 298, 299, 300, 307, 308, 311, 315, 316, 317, 321, 323, 328, 329, 331, 332, 334, 335, 343, 345, 347, 348, 349, 373, 374, 385, 386, 453, 461, 464, 469, 471, 472, 475, 515, 517, 518, 519, 522, 523, 593, 594, 629, 630, 631, 632, 634, 635, 638, 639, 640, 642, 643, 644, 645, 646, 648, 649, 650, 651, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 679, 680, 681, 684, 686, 730, 732, 781, 784, 788, 855, 900, 936, 982, 1085, 1111, 1127, 1128, 1129, 1139, 1140, 1141, 1142, 1143, 1152, 1155, 1157, 1162, 1185, 1201, 1209, 1212, 1214, 1218, 1223, 1227, 1269, 1279, 1321, 1322, 1407, 1415, 1416, 1420, 1423], "averag": [20, 59, 214, 240, 241, 261, 290, 300, 315, 357, 358, 411, 487, 488, 489, 635, 656, 684, 686, 760, 784, 1171, 1240, 1294, 1403, 1410, 1415, 1420, 1425, 1434], "86": [20, 762, 1416], "radiu": [20, 45, 135, 473, 655, 760, 1127, 1128, 1129, 1141, 1195, 1200, 1202, 1203, 1204], "diamet": [20, 135, 476, 481, 482, 760, 1201, 1257, 1422], "eccentr": [20, 135, 218, 473, 474, 476, 477, 760, 1415, 1425], "peripheri": [20, 44, 472, 473, 760], "densiti": [20, 116, 221, 253, 262, 263, 375, 590, 1179, 1181, 1199, 1203, 1410, 1415], "26666666666666666": 20, "lollipop_graph": [20, 392, 1114, 1337, 1341, 1375, 1436], "pathlength": 20, "spl": 20, "dict": [20, 26, 40, 55, 58, 59, 68, 89, 102, 103, 108, 110, 145, 146, 149, 158, 160, 161, 166, 169, 170, 177, 180, 185, 190, 191, 196, 198, 201, 203, 205, 208, 221, 238, 240, 241, 253, 291, 310, 311, 331, 336, 338, 348, 355, 410, 413, 414, 418, 424, 429, 472, 475, 483, 484, 498, 504, 514, 547, 563, 565, 567, 568, 577, 579, 580, 581, 582, 590, 616, 630, 633, 638, 639, 640, 642, 644, 646, 647, 648, 649, 650, 651, 664, 668, 671, 689, 690, 693, 707, 708, 709, 715, 717, 751, 752, 762, 798, 851, 858, 860, 861, 864, 867, 872, 875, 880, 881, 886, 890, 892, 893, 894, 896, 903, 905, 906, 909, 912, 918, 925, 928, 929, 930, 932, 933, 937, 939, 941, 942, 945, 948, 949, 953, 957, 962, 963, 968, 972, 974, 975, 976, 978, 979, 983, 985, 987, 988, 991, 994, 995, 1001, 1008, 1011, 1012, 1013, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1041, 1042, 1043, 1044, 1045, 1048, 1050, 1088, 1089, 1094, 1097, 1100, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1123, 1125, 1127, 1128, 1129, 1132, 1140, 1142, 1199, 1202, 1203, 1204, 1213, 1214, 1219, 1301, 1302, 1308, 1309, 1313, 1330, 1332, 1351, 1354, 1355, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1390, 1402, 1403, 1404, 1411, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1424, 1425, 1434, 1436], "single_source_shortest_path_length": [20, 40, 638, 646], "histogram": [20, 28, 32, 63, 65, 513, 1321], "dist": [20, 35, 45, 57, 58, 107, 628, 649, 654, 658, 660, 1111, 1199, 1203, 1205, 1423], "vert": 20, "3068": 20, "133": [20, 23, 47, 48, 67, 73], "plot_properti": [20, 23], "5x5": [21, 77], "generate_adjlist": [21, 64, 1340, 1392], "write_edgelist": [21, 268, 1343, 1346, 1392], "delimit": [21, 41, 266, 267, 268, 269, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1375, 1376, 1377, 1378], "200": [21, 40, 45, 71, 1420, 1421], "107": [21, 23, 242, 245, 1207], "plot_read_writ": [21, 23], "manual": [22, 25, 26, 68, 102, 112, 205, 458, 463, 893, 975, 1223, 1326, 1327, 1367, 1368, 1416, 1422], "explicitli": [22, 34, 93, 104, 105, 110, 112, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 511, 512, 793, 1101, 1102, 1104, 1127, 1128, 1129, 1141, 1171, 1332, 1351, 1354, 1355, 1356, 1390, 1411, 1413, 1416, 1420, 1421, 1429, 1434], "255": 22, "03": [22, 26, 113, 218, 275, 301], "3000": [22, 34], "aren": [22, 33, 94, 950, 966, 996, 1006], "clip": [22, 33, 55, 98, 1140, 1142, 1143, 1422], "gca": [22, 29, 34, 46, 47], "direct": [22, 24, 26, 46, 48, 53, 55, 68, 70, 71, 83, 87, 89, 93, 94, 96, 100, 102, 106, 110, 111, 117, 129, 142, 160, 161, 162, 165, 166, 169, 178, 182, 186, 190, 192, 197, 201, 202, 203, 204, 205, 206, 210, 211, 212, 213, 215, 216, 217, 218, 221, 225, 228, 233, 236, 240, 241, 242, 243, 244, 245, 248, 273, 276, 283, 288, 294, 295, 296, 298, 299, 300, 307, 308, 312, 313, 315, 316, 317, 325, 326, 327, 329, 332, 336, 337, 338, 339, 358, 381, 382, 387, 390, 393, 394, 397, 398, 399, 400, 401, 402, 405, 406, 407, 408, 409, 412, 413, 414, 416, 417, 419, 420, 421, 424, 425, 426, 427, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 449, 450, 452, 454, 455, 456, 457, 459, 460, 461, 462, 464, 465, 466, 467, 468, 469, 470, 471, 483, 484, 490, 493, 494, 498, 502, 503, 506, 507, 510, 515, 521, 524, 525, 526, 561, 566, 567, 568, 577, 578, 579, 590, 591, 592, 596, 597, 600, 602, 603, 607, 608, 609, 611, 612, 613, 615, 617, 623, 627, 635, 638, 654, 660, 678, 680, 689, 690, 691, 692, 695, 696, 699, 700, 701, 702, 703, 704, 706, 710, 719, 720, 721, 723, 724, 734, 735, 742, 743, 744, 745, 749, 751, 752, 754, 755, 760, 763, 764, 771, 778, 781, 788, 791, 793, 860, 861, 864, 867, 874, 876, 880, 882, 887, 890, 891, 892, 893, 905, 906, 909, 912, 919, 928, 941, 942, 945, 948, 950, 955, 958, 962, 964, 966, 969, 972, 973, 974, 975, 987, 988, 991, 994, 996, 1002, 1005, 1006, 1011, 1038, 1039, 1040, 1041, 1043, 1058, 1063, 1070, 1086, 1091, 1092, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1115, 1116, 1118, 1120, 1127, 1128, 1129, 1138, 1139, 1141, 1158, 1172, 1173, 1174, 1175, 1176, 1179, 1183, 1184, 1186, 1188, 1190, 1191, 1192, 1195, 1196, 1197, 1198, 1201, 1213, 1214, 1219, 1221, 1222, 1223, 1230, 1234, 1236, 1237, 1238, 1250, 1276, 1278, 1281, 1282, 1287, 1288, 1289, 1290, 1293, 1301, 1304, 1331, 1332, 1339, 1347, 1348, 1350, 1351, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1367, 1368, 1369, 1370, 1377, 1385, 1386, 1387, 1389, 1391, 1397, 1402, 1404, 1406, 1407, 1410, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1434], "column": [22, 55, 283, 301, 327, 567, 631, 678, 1103, 1105, 1106, 1107, 1108, 1115, 1219, 1221, 1277, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1329, 1404, 1415, 1420, 1421], "left_nod": 22, "middle_nod": 22, "right_nod": 22, "accord": [22, 71, 95, 101, 104, 198, 234, 241, 283, 290, 327, 347, 379, 382, 387, 567, 568, 590, 621, 672, 692, 693, 730, 731, 733, 1105, 1106, 1108, 1171, 1179, 1191, 1192, 1228, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1301, 1350, 1354, 1355, 1398, 1422], "coord": [22, 35], "updat": [22, 94, 95, 96, 100, 102, 103, 107, 112, 152, 153, 157, 158, 159, 200, 205, 234, 323, 339, 364, 368, 372, 375, 380, 462, 502, 508, 513, 600, 602, 606, 628, 629, 694, 798, 855, 856, 857, 858, 859, 889, 893, 900, 901, 902, 903, 904, 927, 936, 937, 938, 939, 940, 971, 982, 983, 984, 985, 986, 1010, 1040, 1042, 1043, 1088, 1089, 1125, 1302, 1308, 1401, 1402, 1403, 1407, 1408, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1436], "646": [22, 23], "plot_simple_graph": [22, 23], "886": 23, "auto_examples_bas": 23, "custom": [24, 33, 34, 36, 48, 87, 103, 116, 205, 286, 466, 548, 549, 550, 554, 555, 556, 558, 559, 560, 706, 708, 709, 710, 798, 893, 936, 937, 982, 983, 1040, 1042, 1043, 1097, 1103, 1199, 1203, 1204, 1208, 1308, 1391, 1416, 1417, 1421, 1422, 1436], "chess": [24, 48, 87, 1415], "master": [24, 48, 87, 478, 1415], "icon": [24, 48, 87, 94, 1422], "ego": [24, 48, 87, 306, 690, 1331, 1415, 1416], "eigenvalu": [24, 48, 87, 312, 313, 314, 325, 326, 327, 334, 373, 568, 595, 1118, 1197, 1281, 1282, 1283, 1295, 1296, 1297, 1298, 1299, 1333, 1415, 1422], "hous": [24, 48, 87, 1258, 1259, 1422], "With": [24, 48, 55, 87, 102, 104, 111, 339, 513, 762, 1121, 1136, 1190, 1235, 1303, 1336, 1344, 1396, 1403, 1411, 1413, 1414, 1416], "knuth": [24, 48, 70, 72, 87, 457, 1232, 1274, 1308, 1422], "mile": [24, 48, 87, 1415, 1422], "multipartit": [24, 48, 87, 1112, 1157, 1168, 1404, 1415, 1416, 1422], "rainbow": [24, 48, 87, 1422], "geometr": [24, 48, 87, 106, 358, 1202, 1203, 1204, 1270, 1331, 1416, 1417, 1422, 1434], "sampson": [24, 48, 87, 1415], "self": [24, 46, 48, 53, 70, 87, 89, 90, 102, 153, 159, 169, 177, 181, 190, 225, 247, 248, 305, 322, 330, 333, 337, 347, 348, 349, 357, 358, 362, 434, 435, 436, 437, 438, 439, 440, 455, 469, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 521, 569, 577, 586, 587, 589, 595, 614, 621, 627, 677, 702, 737, 739, 856, 859, 867, 872, 873, 880, 901, 904, 912, 916, 937, 940, 948, 953, 954, 961, 962, 983, 986, 994, 998, 1041, 1063, 1078, 1105, 1106, 1108, 1127, 1128, 1129, 1141, 1179, 1181, 1183, 1185, 1191, 1199, 1202, 1203, 1204, 1205, 1223, 1228, 1245, 1287, 1331, 1332, 1336, 1359, 1360, 1397, 1410, 1412, 1415, 1417, 1420, 1421, 1422, 1423, 1426, 1434], "loop": [24, 46, 48, 53, 70, 87, 225, 231, 232, 247, 248, 305, 322, 330, 333, 347, 348, 349, 357, 358, 362, 434, 435, 436, 437, 438, 439, 440, 451, 452, 453, 455, 469, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 569, 586, 587, 589, 595, 614, 621, 627, 702, 737, 739, 1041, 1046, 1063, 1078, 1105, 1106, 1108, 1127, 1128, 1129, 1141, 1179, 1181, 1183, 1185, 1191, 1199, 1202, 1203, 1204, 1205, 1213, 1216, 1223, 1228, 1242, 1245, 1287, 1331, 1332, 1336, 1359, 1360, 1397, 1410, 1412, 1415, 1417, 1420, 1422, 1423, 1430], "spectral": [24, 48, 87, 291, 334, 373, 444, 446, 449, 450, 760, 1147, 1275, 1283, 1286, 1292, 1296, 1331, 1411, 1415, 1417], "embed": [24, 48, 87, 162, 165, 170, 616, 617, 618, 1127, 1129, 1219, 1221, 1417], "travel": [24, 48, 53, 57, 87, 100, 106, 228, 229, 230, 231, 232, 233, 760, 1422, 1423], "salesman": [24, 48, 87, 106, 228, 229, 230, 231, 232, 233, 760, 1422, 1423], "problem": [24, 48, 87, 93, 94, 105, 106, 115, 122, 211, 213, 219, 222, 227, 228, 229, 230, 231, 232, 233, 236, 279, 281, 348, 349, 354, 415, 424, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 569, 572, 573, 591, 621, 655, 662, 669, 673, 674, 675, 676, 700, 701, 764, 769, 772, 782, 1046, 1103, 1288, 1306, 1337, 1340, 1404, 1411, 1415, 1416, 1417, 1420, 1422, 1423], "unix": [24, 48, 87], "email": [24, 48, 87, 93, 100, 105, 1415, 1417], "locat": [25, 35, 69, 94, 112, 1123, 1132, 1303, 1415], "neatli": 25, "organis": 25, "path_graph": [25, 43, 89, 102, 103, 161, 163, 164, 166, 168, 171, 172, 173, 185, 186, 187, 188, 194, 195, 196, 199, 200, 205, 208, 239, 240, 241, 242, 245, 252, 255, 256, 257, 262, 263, 266, 268, 269, 285, 287, 288, 289, 291, 312, 313, 325, 326, 344, 376, 394, 396, 397, 398, 409, 424, 458, 463, 516, 566, 568, 570, 587, 589, 590, 591, 593, 594, 601, 604, 608, 610, 628, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 667, 668, 669, 670, 671, 698, 706, 707, 708, 709, 710, 711, 712, 714, 715, 716, 717, 718, 732, 754, 762, 763, 764, 772, 798, 850, 851, 853, 854, 861, 862, 863, 864, 866, 868, 869, 870, 875, 876, 877, 878, 884, 885, 886, 888, 889, 893, 894, 895, 896, 898, 899, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 929, 930, 931, 932, 934, 935, 942, 943, 944, 945, 947, 951, 957, 959, 960, 966, 967, 968, 970, 971, 975, 976, 977, 978, 980, 981, 988, 989, 990, 991, 993, 997, 999, 1001, 1003, 1004, 1006, 1007, 1008, 1009, 1010, 1013, 1039, 1040, 1042, 1043, 1045, 1064, 1066, 1069, 1075, 1085, 1088, 1089, 1091, 1097, 1110, 1111, 1113, 1117, 1118, 1119, 1120, 1144, 1223, 1301, 1326, 1327, 1334, 1339, 1340, 1343, 1345, 1347, 1350, 1355, 1356, 1359, 1360, 1361, 1362, 1364, 1367, 1377, 1378, 1381, 1382, 1385, 1386, 1395, 1402, 1413, 1414, 1425, 1436], "center_nod": [25, 754], "Or": [25, 94, 104, 112, 229, 348, 496, 580, 1127, 1128, 1129, 1436], "ani": [25, 35, 39, 53, 56, 57, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 105, 106, 108, 111, 112, 115, 153, 157, 166, 168, 171, 181, 207, 221, 227, 228, 229, 230, 231, 232, 233, 250, 279, 282, 290, 292, 293, 294, 295, 315, 316, 332, 340, 345, 384, 389, 391, 392, 396, 398, 420, 421, 424, 451, 456, 459, 466, 467, 472, 479, 480, 481, 502, 504, 505, 508, 509, 514, 519, 563, 564, 565, 567, 568, 581, 586, 587, 588, 589, 590, 617, 618, 619, 627, 634, 635, 637, 638, 654, 660, 662, 663, 664, 665, 680, 688, 690, 693, 695, 696, 741, 754, 763, 793, 798, 852, 856, 857, 864, 866, 868, 873, 897, 901, 902, 909, 911, 913, 916, 933, 937, 938, 945, 947, 949, 954, 979, 983, 984, 991, 993, 995, 998, 1040, 1041, 1042, 1043, 1048, 1050, 1064, 1085, 1090, 1097, 1100, 1125, 1128, 1171, 1176, 1178, 1181, 1183, 1199, 1203, 1205, 1223, 1301, 1302, 1304, 1306, 1308, 1309, 1330, 1332, 1334, 1342, 1351, 1354, 1355, 1356, 1357, 1387, 1388, 1390, 1402, 1413, 1414, 1422, 1423, 1436], "edge_nod": 25, "ensur": [25, 35, 93, 94, 95, 101, 103, 108, 110, 128, 232, 300, 585, 683, 685, 730, 791, 956, 1000, 1120, 1306, 1334, 1413, 1416, 1417, 1421, 1434], "around": [25, 39, 95, 100, 105, 514, 692, 788, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1404, 1414, 1421, 1422, 1434], "circl": [25, 39, 78, 1110, 1117, 1421], "evenli": 25, "distribut": [25, 28, 108, 111, 133, 228, 237, 242, 328, 333, 337, 375, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 514, 567, 568, 695, 740, 1171, 1174, 1181, 1183, 1192, 1199, 1202, 1203, 1204, 1205, 1215, 1240, 1243, 1244, 1284, 1285, 1320, 1321, 1322, 1325, 1411, 1415], "circular_layout": [25, 38, 39, 42, 98, 1045, 1111, 1137, 1141, 1332], "plot_center_nod": [25, 48], "multidigraph": [26, 46, 53, 57, 89, 103, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 169, 171, 172, 173, 187, 188, 190, 194, 195, 196, 199, 200, 203, 208, 284, 341, 342, 344, 345, 390, 395, 403, 483, 484, 496, 498, 500, 501, 504, 505, 511, 512, 521, 557, 617, 680, 697, 698, 719, 720, 734, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 865, 867, 868, 869, 870, 877, 878, 880, 884, 885, 886, 888, 889, 892, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 915, 917, 920, 921, 923, 924, 925, 926, 927, 928, 930, 977, 978, 980, 981, 983, 984, 985, 986, 988, 989, 990, 991, 992, 995, 996, 997, 999, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1013, 1024, 1025, 1040, 1041, 1043, 1055, 1069, 1078, 1083, 1087, 1098, 1101, 1104, 1105, 1106, 1108, 1130, 1133, 1183, 1191, 1192, 1223, 1276, 1287, 1288, 1295, 1297, 1299, 1304, 1332, 1348, 1362, 1363, 1368, 1381, 1402, 1408, 1411, 1413, 1415, 1416, 1420, 1425, 1433, 1434, 1436], "class": [26, 70, 76, 89, 90, 96, 98, 102, 103, 104, 113, 115, 116, 126, 204, 206, 297, 302, 303, 304, 309, 310, 316, 317, 318, 324, 332, 344, 425, 431, 496, 498, 500, 501, 504, 505, 511, 512, 532, 542, 547, 588, 590, 602, 617, 697, 721, 722, 735, 764, 798, 936, 937, 956, 982, 983, 1000, 1040, 1042, 1043, 1045, 1046, 1069, 1100, 1160, 1302, 1307, 1308, 1310, 1329, 1331, 1332, 1362, 1363, 1394, 1401, 1404, 1412, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1430, 1431, 1432, 1433, 1434, 1436], "chess_pgn_graph": 26, "pgn": 26, "portabl": [26, 1390], "game": [26, 66, 100], "notat": [26, 102, 103, 152, 750, 798, 855, 900, 936, 982, 1040, 1042, 1043, 1248, 1250, 1252, 1254, 1256, 1262, 1264, 1332, 1387, 1403, 1423, 1436], "chess_masters_wcc": 26, "bz2": [26, 268, 269, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1356, 1363, 1364, 1374, 1377, 1378, 1381, 1382], "685": 26, "world": [26, 53, 218, 264, 357, 487, 488, 489, 522, 523, 570, 574, 683, 684, 686, 760, 1172, 1173, 1199, 1201, 1231, 1239, 1247, 1331, 1407, 1415, 1416, 1418, 1436], "championship": 26, "1886": 26, "1985": [26, 236], "chessproblem": 26, "my": [26, 327, 617, 852, 897, 933, 979], "free": [26, 92, 93, 98, 100, 106, 115, 250, 251, 272, 328, 332, 459, 562, 686, 687, 1170, 1192, 1199, 1213, 1216, 1225, 1240, 1277, 1329, 1403, 1415, 1416, 1420, 1436], "last": [26, 69, 81, 102, 103, 107, 110, 231, 232, 364, 372, 421, 452, 466, 586, 596, 597, 599, 654, 659, 660, 719, 720, 965, 1005, 1088, 1174, 1278, 1308, 1309, 1410, 1415, 1416, 1418, 1420, 1425], "name": [26, 35, 50, 55, 57, 69, 72, 78, 81, 90, 92, 94, 96, 98, 100, 102, 103, 104, 105, 107, 110, 111, 116, 151, 159, 163, 167, 176, 189, 203, 205, 232, 267, 268, 283, 284, 298, 299, 304, 307, 308, 312, 313, 316, 317, 324, 325, 326, 328, 331, 332, 352, 382, 383, 385, 386, 393, 413, 414, 418, 419, 420, 421, 431, 453, 466, 498, 510, 547, 561, 562, 563, 564, 565, 570, 571, 574, 576, 593, 594, 595, 599, 600, 602, 603, 606, 617, 680, 682, 689, 690, 691, 693, 706, 719, 753, 798, 852, 859, 862, 865, 871, 879, 892, 893, 897, 904, 907, 910, 928, 933, 940, 943, 946, 974, 975, 979, 986, 989, 992, 1011, 1014, 1040, 1041, 1042, 1043, 1046, 1048, 1049, 1050, 1067, 1068, 1073, 1075, 1088, 1089, 1101, 1102, 1103, 1104, 1105, 1107, 1120, 1122, 1123, 1124, 1127, 1128, 1129, 1131, 1132, 1136, 1150, 1249, 1256, 1273, 1280, 1293, 1294, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1329, 1332, 1337, 1339, 1340, 1342, 1343, 1348, 1350, 1351, 1356, 1358, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1376, 1377, 1378, 1384, 1386, 1387, 1388, 1402, 1403, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1428, 1434, 1436], "info": [26, 66, 160, 798, 860, 905, 941, 949, 987, 995, 1040, 1042, 1043, 1045, 1048, 1122, 1123, 1126, 1139, 1141, 1373, 1374, 1394, 1415, 1420, 1421, 1422, 1423, 1434], "statement": [26, 94, 97, 364, 764, 1127, 1402, 1408, 1415, 1423], "game_info": 26, "describ": [26, 35, 59, 70, 72, 94, 100, 101, 103, 105, 133, 145, 250, 294, 316, 317, 323, 332, 363, 364, 375, 380, 462, 521, 523, 567, 590, 706, 741, 754, 762, 788, 1039, 1049, 1050, 1091, 1150, 1154, 1171, 1172, 1173, 1176, 1181, 1183, 1184, 1208, 1213, 1214, 1228, 1254, 1263, 1278, 1280, 1284, 1285, 1293, 1294, 1302, 1332, 1347, 1348, 1350, 1389, 1391, 1395, 1416], "load": [26, 27, 35, 66, 70, 72, 94, 111, 311, 328, 760, 1041, 1370, 1407, 1410, 1413, 1414, 1415, 1420, 1422], "25": [26, 41, 65, 67, 69, 83, 84, 100, 101, 236, 239, 241, 298, 299, 307, 308, 331, 348, 349, 385, 386, 558, 559, 560, 705, 721, 735, 1174, 1176, 1179, 1198, 1277, 1286, 1301, 1329, 1412, 1436], "player": 26, "disconnect": [26, 84, 93, 116, 128, 215, 216, 217, 253, 254, 256, 257, 278, 279, 282, 294, 391, 392, 396, 412, 413, 414, 415, 416, 417, 418, 419, 422, 423, 424, 425, 472, 502, 635, 753, 1046, 1193, 1194, 1213, 1216, 1240, 1404, 1411, 1416, 1423], "consist": [26, 95, 100, 101, 108, 110, 241, 382, 395, 464, 567, 568, 588, 594, 618, 659, 734, 788, 793, 1041, 1153, 1154, 1155, 1166, 1169, 1178, 1222, 1255, 1278, 1335, 1390, 1391, 1416, 1421, 1423, 1426, 1434, 1436], "karpov": 26, "anatoli": 26, "korchnoi": 26, "viktor": 26, "kasparov": 26, "gari": 26, "237": [26, 1308], "open": [26, 27, 35, 50, 66, 70, 72, 85, 90, 92, 93, 94, 97, 101, 106, 110, 133, 268, 269, 721, 725, 726, 727, 728, 735, 1302, 1306, 1339, 1340, 1343, 1344, 1345, 1346, 1358, 1377, 1378, 1384, 1386, 1414, 1436], "sicilian": 26, "najdorff": 26, "qb6": 26, "poison": 26, "pawn": 26, "variat": [26, 298, 1325, 1420], "spasski": 26, "bori": [26, 1191], "fischer": 26, "robert": [26, 92, 1223, 1416, 1418], "28th": 26, "reykjavik": 26, "isl": 26, "date": [26, 97, 100, 105, 111, 1331, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "1972": [26, 407, 408, 1416], "07": [26, 86, 102, 215, 216, 217, 221, 382, 383, 608, 1171, 1179], "round": [26, 116, 228, 239, 264, 473, 474, 475, 476, 477, 488, 1140, 1141, 1168, 1179, 1420], "whiteelo": 26, "2660": 26, "blackelo": 26, "2785": [26, 1417], "eco": 26, "b97": 26, "eventd": 26, "08": [26, 46, 47, 558, 559, 560, 566, 693, 721, 735, 1281, 1282, 1283, 1422], "findfont": 26, "famili": [26, 312, 313, 377, 1139, 1140, 1142, 1154, 1224, 1272, 1286, 1329, 1404, 1407, 1415], "helvetica": 26, "tag": [26, 95, 98, 107, 1179], "what": [26, 94, 95, 97, 102, 103, 105, 106, 166, 200, 204, 206, 215, 216, 231, 232, 468, 595, 723, 724, 864, 889, 909, 927, 945, 971, 991, 1010, 1045, 1088, 1089, 1198, 1332, 1402, 1411, 1414], "should": [26, 35, 45, 81, 84, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 105, 108, 110, 145, 146, 149, 157, 165, 208, 224, 228, 229, 230, 231, 232, 233, 239, 244, 261, 285, 286, 287, 288, 289, 298, 299, 325, 326, 348, 350, 351, 353, 364, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 431, 454, 473, 474, 475, 476, 477, 498, 504, 505, 506, 507, 508, 509, 510, 513, 514, 527, 529, 537, 539, 547, 557, 561, 571, 590, 617, 631, 673, 674, 675, 676, 677, 692, 693, 721, 723, 724, 740, 756, 763, 764, 798, 857, 894, 902, 930, 938, 976, 984, 1013, 1022, 1039, 1040, 1042, 1043, 1045, 1046, 1088, 1089, 1090, 1091, 1097, 1103, 1105, 1127, 1128, 1129, 1140, 1141, 1142, 1143, 1160, 1171, 1199, 1200, 1202, 1203, 1204, 1217, 1218, 1222, 1223, 1229, 1232, 1233, 1236, 1237, 1284, 1285, 1286, 1288, 1302, 1306, 1331, 1342, 1343, 1351, 1356, 1363, 1364, 1365, 1366, 1369, 1390, 1402, 1403, 1407, 1408, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1421, 1422, 1423, 1436], "game_detail": 26, "pgn_file": 26, "format": [26, 42, 50, 53, 55, 58, 59, 66, 94, 95, 105, 111, 112, 198, 215, 266, 267, 268, 283, 348, 568, 686, 731, 733, 798, 1040, 1042, 1043, 1045, 1108, 1126, 1127, 1129, 1135, 1287, 1331, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1390, 1392, 1393, 1395, 1398, 1406, 1407, 1408, 1411, 1414, 1415, 1416, 1419, 1421, 1422, 1423, 1425], "filenam": [26, 268, 269, 1049, 1126, 1129, 1133, 1339, 1340, 1343, 1344, 1345, 1346, 1355, 1356, 1358, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1384, 1386, 1388, 1417, 1420, 1434], "uncompress": [26, 268, 1339, 1343, 1344, 1374, 1377, 1381], "bz2file": 26, "datafil": [26, 72], "decod": [26, 35, 66, 70, 72, 760, 1395, 1416, 1422], "rstrip": 26, "startswith": [26, 35, 70, 72], "split": [26, 35, 66, 69, 70, 85, 100, 103, 108, 693, 1422], "str": [26, 27, 72, 158, 209, 268, 283, 460, 466, 472, 563, 564, 565, 692, 693, 723, 724, 725, 726, 727, 728, 737, 739, 741, 750, 858, 903, 939, 985, 1048, 1066, 1103, 1107, 1108, 1133, 1139, 1141, 1278, 1284, 1285, 1301, 1302, 1306, 1308, 1309, 1339, 1343, 1344, 1351, 1354, 1355, 1356, 1360, 1362, 1363, 1387, 1388, 1390, 1421, 1422, 1430, 1434], "empti": [26, 46, 68, 81, 103, 133, 142, 166, 169, 181, 190, 204, 206, 218, 223, 239, 244, 333, 398, 416, 456, 502, 561, 562, 596, 597, 598, 599, 617, 633, 662, 663, 664, 681, 709, 722, 730, 732, 744, 745, 754, 798, 852, 864, 867, 873, 880, 897, 909, 912, 916, 933, 945, 948, 954, 962, 966, 979, 991, 994, 998, 1006, 1040, 1042, 1043, 1071, 1127, 1128, 1129, 1157, 1160, 1191, 1192, 1278, 1283, 1308, 1332, 1382, 1403, 1404, 1415, 1416, 1421, 1424, 1434, 1436], "finish": [26, 56, 1242, 1425], "pop": [26, 35, 69, 94, 372, 1308], "identifi": [26, 71, 84, 93, 102, 103, 116, 180, 339, 361, 429, 570, 574, 576, 586, 587, 589, 590, 600, 693, 750, 761, 936, 949, 950, 965, 966, 982, 995, 996, 1005, 1006, 1042, 1043, 1179, 1201, 1208, 1219, 1278, 1286, 1302, 1332, 1403, 1404, 1422, 1436], "gcc": [26, 28, 84, 85], "nfrom": 26, "new": [26, 35, 70, 72, 94, 95, 96, 97, 100, 101, 102, 104, 105, 106, 107, 108, 110, 111, 129, 153, 159, 166, 197, 205, 229, 231, 232, 233, 234, 275, 284, 325, 326, 327, 382, 429, 440, 455, 462, 481, 496, 500, 501, 511, 512, 514, 570, 574, 585, 586, 587, 589, 591, 598, 600, 601, 602, 604, 605, 607, 609, 611, 612, 613, 614, 615, 665, 694, 696, 705, 741, 762, 793, 798, 856, 859, 864, 887, 893, 901, 904, 909, 936, 937, 940, 945, 956, 969, 982, 983, 986, 991, 1000, 1040, 1041, 1042, 1043, 1046, 1050, 1054, 1060, 1066, 1104, 1171, 1183, 1192, 1194, 1223, 1225, 1229, 1231, 1233, 1235, 1239, 1240, 1243, 1244, 1247, 1274, 1276, 1300, 1301, 1302, 1308, 1317, 1325, 1326, 1327, 1369, 1370, 1408, 1409, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1431, 1434, 1436], "without": [26, 93, 95, 100, 101, 102, 103, 104, 105, 111, 145, 162, 164, 166, 172, 231, 232, 236, 250, 327, 380, 389, 431, 440, 498, 567, 568, 595, 600, 618, 619, 762, 788, 798, 863, 864, 869, 908, 909, 914, 944, 945, 950, 990, 991, 996, 1040, 1042, 1043, 1045, 1046, 1049, 1063, 1101, 1104, 1113, 1128, 1139, 1141, 1163, 1178, 1185, 1191, 1192, 1199, 1202, 1203, 1204, 1205, 1223, 1302, 1309, 1323, 1332, 1335, 1351, 1354, 1355, 1356, 1357, 1390, 1403, 1405, 1411, 1413, 1416, 1418, 1421, 1425], "multi": [26, 129, 209, 294, 440, 496, 567, 607, 609, 612, 613, 682, 702, 725, 726, 727, 728, 933, 979, 994, 1039, 1042, 1043, 1067, 1091, 1094, 1097, 1332, 1336, 1377, 1396, 1404, 1413, 1415, 1416, 1421, 1423, 1434], "proport": [26, 315, 329, 331, 1191, 1201], "plai": [26, 104, 1419], "edgewidth": 26, "won": [26, 332, 1412, 1415], "win": [26, 1256, 1265], "fromkei": [26, 413, 414, 418], "elif": [26, 89, 103], "nodes": 26, "kamada_kawai_layout": [26, 72, 98, 1138, 1421], "tweak": [26, 208, 894, 930, 976, 1013, 1416, 1417, 1422, 1423], "overlap": [26, 27, 53, 211, 287, 340, 378, 462, 741, 1219, 1221, 1301], "reshevski": 26, "samuel": [26, 336, 337, 1433, 1434], "botvinnik": 26, "mikhail": [26, 331], "smyslov": 26, "vassili": 26, "210070": 26, "label_opt": [26, 1045], "fc": [26, 71, 1140], "bbox": [26, 71, 1140, 1142], "fontnam": 26, "552": [26, 48], "plot_chess_mast": [26, 48], "imag": [27, 77, 81, 97, 101, 106, 110, 284, 1104, 1143, 1421, 1422, 1436], "courtesi": 27, "materialui": 27, "pil": 27, "router": 27, "router_black_144x144": 27, "png": [27, 75, 76, 77, 78, 1332, 1436], "switch": [27, 103, 104, 1088, 1089, 1213, 1216, 1402, 1416, 1417, 1420, 1421, 1422, 1431, 1434], "switch_black_144x144": 27, "pc": [27, 29], "computer_black_144x144": 27, "fname": 27, "switch_": 27, "pc_": 27, "switch_1": 27, "switch_2": 27, "switch_3": 27, "1734289230": 27, "min_sourc": 27, "target_margin": 27, "kwarg": [27, 96, 103, 104, 425, 504, 505, 508, 509, 1050, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1306, 1416, 1417, 1421, 1422, 1423, 1429, 1431, 1434], "work": [27, 53, 55, 58, 89, 93, 94, 95, 97, 101, 106, 108, 111, 112, 134, 160, 196, 201, 211, 215, 216, 217, 221, 223, 323, 364, 382, 412, 413, 414, 415, 416, 420, 421, 425, 498, 499, 503, 506, 507, 510, 567, 631, 654, 655, 660, 661, 662, 669, 683, 693, 763, 781, 860, 886, 890, 905, 925, 941, 968, 972, 1008, 1041, 1049, 1109, 1110, 1112, 1117, 1119, 1219, 1222, 1301, 1329, 1334, 1387, 1388, 1395, 1402, 1403, 1407, 1408, 1409, 1411, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1429, 1434, 1435, 1436], "fancyarrowpatch": [27, 1045, 1139, 1141, 1422, 1423, 1434], "object": [27, 46, 53, 55, 56, 57, 58, 59, 66, 94, 100, 101, 102, 103, 104, 108, 152, 153, 157, 158, 159, 160, 162, 166, 167, 169, 171, 172, 176, 181, 189, 190, 191, 196, 201, 203, 205, 208, 223, 224, 238, 239, 243, 244, 292, 381, 444, 445, 446, 447, 449, 450, 472, 548, 549, 550, 578, 586, 587, 588, 589, 610, 617, 621, 677, 678, 688, 732, 733, 740, 741, 753, 755, 762, 798, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 852, 855, 856, 857, 858, 859, 860, 864, 865, 867, 868, 869, 871, 873, 879, 880, 881, 886, 890, 892, 893, 894, 897, 900, 901, 902, 903, 904, 905, 909, 910, 912, 913, 914, 916, 925, 928, 929, 930, 933, 936, 937, 938, 939, 940, 941, 945, 946, 948, 949, 952, 954, 962, 963, 968, 972, 974, 975, 976, 979, 982, 983, 984, 985, 986, 987, 991, 992, 994, 995, 998, 1008, 1011, 1012, 1013, 1014, 1040, 1041, 1042, 1043, 1048, 1049, 1050, 1066, 1088, 1089, 1100, 1120, 1123, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1149, 1150, 1160, 1208, 1213, 1281, 1282, 1283, 1301, 1302, 1306, 1309, 1313, 1314, 1315, 1318, 1326, 1327, 1328, 1330, 1332, 1333, 1352, 1353, 1358, 1366, 1370, 1384, 1386, 1395, 1404, 1413, 1414, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1434, 1436], "forc": [27, 50, 94, 95, 107, 239, 244, 385, 597, 599, 602, 673, 675, 1107, 1120, 1138, 1410, 1415, 1426], "arrow": [27, 1139, 1141, 1417, 1419, 1421, 1422, 1423, 1425], "arrowhead": [27, 1139, 1141], "arrowstyl": [27, 29, 42, 1139, 1141, 1426], "min_source_margin": [27, 1141], "min_target_margin": [27, 1141], "coordin": [27, 55, 56, 58, 59, 618, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1200, 1217, 1219, 1221, 1395, 1404, 1420], "xlim": [27, 32, 40, 85], "ylim": [27, 40, 85], "displai": [27, 94, 102, 693, 750, 1102, 1103, 1106, 1127, 1128, 1129, 1387, 1388, 1436], "tr_figur": 27, "transdata": 27, "tr_ax": 27, "transfigur": 27, "invert": [27, 300, 478, 672, 1222], "rel": [27, 102, 258, 313, 325, 326, 331, 511, 558, 559, 560, 595, 616, 678, 1117, 1120, 1219, 1221, 1281, 1282, 1283, 1434], "icon_s": 27, "get_xlim": [27, 71], "025": 27, "icon_cent": 27, "respect": [27, 93, 100, 102, 145, 218, 232, 237, 242, 245, 249, 292, 293, 340, 358, 365, 452, 514, 515, 561, 621, 654, 660, 673, 674, 675, 676, 678, 684, 686, 689, 691, 693, 719, 720, 721, 735, 754, 793, 798, 1040, 1042, 1043, 1084, 1157, 1171, 1217, 1242, 1249, 1284, 1285, 1288, 1291, 1302, 1329, 1395, 1411, 1414, 1416, 1423], "xf": 27, "yf": 27, "xa": 27, "ya": [27, 1416], "imshow": 27, "492": [27, 48], "plot_custom_node_icon": [27, 48], "sever": [28, 53, 89, 93, 98, 100, 102, 104, 221, 316, 358, 375, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 620, 621, 680, 793, 798, 1040, 1042, 1043, 1157, 1390, 1411, 1414, 1415, 1416, 1431, 1434, 1436], "common": [28, 93, 102, 113, 116, 133, 149, 208, 222, 231, 232, 285, 286, 287, 288, 289, 296, 360, 387, 442, 464, 482, 567, 568, 570, 571, 574, 576, 577, 578, 579, 580, 600, 602, 606, 760, 763, 788, 798, 894, 930, 976, 1013, 1040, 1041, 1042, 1043, 1044, 1059, 1223, 1275, 1278, 1302, 1309, 1331, 1332, 1390, 1391, 1402, 1403, 1413, 1414, 1431], "techniqu": [28, 133, 332, 590, 788, 1232], "rank": [28, 339, 376, 567, 568, 621, 1275], "determin": [28, 39, 98, 103, 104, 133, 143, 209, 257, 278, 279, 281, 282, 336, 337, 364, 368, 380, 381, 417, 419, 431, 445, 452, 466, 467, 469, 478, 496, 500, 501, 504, 505, 508, 509, 512, 524, 532, 542, 547, 561, 562, 590, 624, 625, 654, 665, 678, 686, 693, 719, 720, 725, 726, 727, 728, 734, 740, 751, 762, 933, 979, 1041, 1042, 1043, 1046, 1105, 1106, 1120, 1141, 1147, 1197, 1202, 1203, 1204, 1222, 1223, 1235, 1281, 1282, 1283, 1302, 1334, 1364, 1402, 1403, 1413, 1436], "three": [28, 58, 71, 98, 100, 102, 104, 115, 116, 221, 227, 264, 362, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 439, 452, 473, 474, 475, 476, 477, 479, 504, 505, 508, 509, 620, 621, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 695, 719, 720, 752, 798, 1039, 1040, 1087, 1091, 1150, 1157, 1160, 1246, 1265, 1270, 1280, 1302, 1329, 1330, 1332, 1336, 1387, 1393, 1402, 1404, 1413, 1418], "thing": [28, 51, 94, 98, 100, 1041, 1334], "02": [28, 73, 85, 104, 678, 731, 733, 762, 1179, 1257], "10374196": 28, "degree_sequ": [28, 63], "dmax": 28, "gridspec": 28, "axgrid": [28, 83], "add_gridspec": [28, 83], "ax0": [28, 51], "10396953": 28, "set_axis_off": [28, 29, 39], "marker": [28, 58, 267, 1139, 1141, 1143, 1338, 1339, 1340, 1342, 1376, 1377, 1378], "o": [28, 68, 111, 129, 144, 158, 210, 211, 212, 213, 219, 220, 222, 227, 228, 230, 231, 232, 236, 250, 276, 281, 294, 295, 297, 302, 303, 309, 310, 333, 354, 363, 372, 386, 388, 411, 415, 425, 431, 434, 435, 453, 454, 455, 464, 496, 500, 501, 511, 512, 515, 517, 518, 519, 520, 521, 562, 579, 583, 584, 594, 630, 631, 632, 654, 660, 661, 679, 680, 682, 688, 699, 731, 733, 751, 858, 903, 939, 985, 1071, 1139, 1141, 1143, 1185, 1187, 1192, 1202, 1203, 1204, 1206, 1207, 1209, 1230, 1234, 1236, 1238, 1241, 1245, 1308, 1416, 1420, 1421, 1422, 1423, 1430], "ax2": [28, 83], "bar": [28, 90, 104, 185, 236, 411, 875, 918, 957, 1001], "return_count": 28, "442": [28, 48, 1231, 1247], "plot_degre": [28, 48], "opac": 29, "drawn": [29, 42, 618, 619, 1127, 1128, 1129, 1139, 1140, 1141, 1174, 1204, 1325, 1387], "mpl": [29, 94, 1422, 1423, 1432], "13648": 29, "random_k_out_graph": 29, "edge_alpha": 29, "cmap": [29, 38, 40, 57, 1139, 1143], "cm": [29, 30, 38, 40, 239], "plasma": [29, 57], "indigo": [29, 1308], "arrows": [29, 33, 71, 1139, 1141, 1423], "edge_cmap": [29, 30, 1139, 1141], "set_alpha": [29, 1141], "patchcollect": 29, "set_arrai": 29, "colorbar": [29, 1432], "348": [29, 48, 1179], "plot_direct": [29, 48], "star_graph": [30, 103, 244, 261, 333, 617, 672, 673, 677, 763, 1223], "63": [30, 65, 1188, 1190, 1357], "a0cbe2": 30, "099": [30, 48], "plot_edge_colormap": [30, 48], "ego_graph": [31, 1403], "main": [31, 89, 95, 97, 100, 102, 103, 104, 107, 218, 231, 232, 270, 271, 272, 273, 274, 275, 276, 277, 430, 435, 437, 1045, 1127, 1129, 1160, 1332, 1391, 1404, 1412, 1413, 1415, 1421, 1422, 1423, 1433, 1434], "egonet": 31, "hub": [31, 566, 765, 1169], "barab\u00e1si": [31, 111, 1229, 1233, 1235, 1240, 1415], "albert": [31, 111, 380, 1229, 1233, 1235, 1240, 1415, 1419, 1422], "itemgett": [31, 376, 462], "ba": [31, 1240, 1436], "20532": 31, "node_and_degre": 31, "largest_hub": 31, "hub_ego": 31, "300": [31, 35, 69, 71, 751, 752, 1139, 1141, 1143, 1179, 1280, 1332], "146": [31, 48, 407, 408], "plot_ego_graph": [31, 48], "5924617911775805": 32, "0699282104742547e": 32, "linalg": [32, 94, 96, 1404, 1411, 1414, 1416, 1434], "5000": [32, 1181], "gnm_random_graph": [32, 64, 273, 1232, 1406, 1415], "5040": 32, "normalized_laplacian_matrix": [32, 1291, 1299], "eigval": 32, "toarrai": [32, 1108, 1285, 1286, 1291, 1433], "min": [32, 209, 261, 262, 263, 281, 287, 442, 496, 498, 502, 506, 507, 508, 509, 510, 512, 519, 520, 585, 724, 793, 1106, 1308, 1325, 1326, 1327, 1409, 1415, 1416, 1436], "hist": [32, 63, 1062], "bin": [32, 94, 1062], "004": [32, 48, 53, 343], "plot_eigenvalu": [32, 48], "4x4": 33, "argument": [33, 44, 55, 94, 96, 103, 104, 110, 116, 152, 153, 157, 158, 159, 185, 191, 201, 208, 227, 231, 232, 253, 254, 321, 323, 329, 355, 364, 375, 376, 385, 420, 421, 466, 473, 474, 475, 476, 477, 502, 547, 577, 579, 590, 617, 620, 628, 629, 634, 635, 637, 638, 642, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 678, 680, 682, 741, 754, 798, 852, 855, 856, 857, 858, 859, 875, 881, 890, 894, 897, 900, 901, 902, 903, 904, 918, 930, 933, 936, 937, 938, 939, 940, 957, 961, 976, 979, 982, 983, 984, 985, 986, 1001, 1013, 1014, 1039, 1040, 1042, 1043, 1045, 1048, 1050, 1055, 1056, 1057, 1088, 1089, 1091, 1105, 1122, 1123, 1125, 1129, 1141, 1149, 1157, 1188, 1195, 1199, 1202, 1203, 1204, 1205, 1241, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1332, 1334, 1369, 1370, 1402, 1403, 1405, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1431, 1432, 1434, 1436], "39775": 33, "2x2": 33, "all_ax": 33, "flat": 33, "to_direct": [33, 166, 204, 205, 206, 798, 864, 893, 909, 929, 945, 975, 991, 1012, 1040, 1042, 1043, 1172, 1173, 1188, 1190, 1413, 1418, 1420], "orang": [33, 34, 39, 58, 600, 1045], "568": [33, 48, 348, 349], "plot_four_grid": [33, 48], "house_graph": 34, "wall": 34, "roof": 34, "149": [34, 48, 557, 764, 1418], "plot_house_with_color": [34, 48], "miles_graph": 35, "128": 35, "citi": [35, 69, 1403], "popul": [35, 352, 353, 590, 672, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1108, 1121, 1150, 1151, 1152, 1153, 1154, 1156, 1158, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1422, 1425], "section": [35, 70, 72, 93, 94, 100, 101, 103, 104, 105, 107, 502, 753, 1150, 1223, 1232, 1416, 1421, 1422, 1423], "donald": [35, 70, 72, 457, 1232], "graphbas": [35, 70, 72, 1274], "platform": [35, 70, 72, 94, 108, 157, 857, 902, 938, 984, 1041, 1274, 1403, 1420, 1422], "combinatori": [35, 70, 72, 113, 354, 617, 618, 620, 621, 740, 1274, 1289], "acm": [35, 70, 72, 347, 348, 349, 364, 389, 391, 392, 396, 428, 451, 566, 570, 574, 579, 583, 672, 677, 678, 692, 693, 1192, 1201, 1245, 1274, 1326, 1327], "press": [35, 70, 72, 111, 133, 258, 259, 260, 287, 289, 300, 312, 313, 325, 326, 379, 385, 387, 464, 590, 678, 690, 1149, 1150, 1198, 1223, 1271, 1274, 1275], "york": [35, 70, 72, 481, 570, 574, 1046, 1274, 1325, 1326, 1327, 1403], "1993": [35, 70, 72, 429, 430, 1274], "faculti": [35, 70, 72], "edu": [35, 46, 66, 70, 72, 100, 101, 104, 111, 113, 215, 216, 217, 221, 316, 327, 332, 344, 412, 413, 415, 416, 417, 419, 432, 444, 446, 449, 450, 469, 485, 492, 521, 566, 568, 569, 572, 573, 616, 618, 620, 621, 692, 694, 706, 708, 709, 710, 712, 736, 738, 1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "sgb": [35, 70, 72], "html": [35, 46, 50, 70, 72, 100, 107, 111, 166, 203, 205, 283, 446, 478, 479, 480, 481, 566, 568, 608, 620, 694, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1136, 1139, 1140, 1141, 1142, 1143, 1203, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263, 1265, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1367, 1368, 1373, 1374, 1383, 1384, 1385, 1386, 1389, 1390, 1391, 1394, 1402, 1403, 1415, 1416, 1422], "miles_dat": 35, "8128": 35, "gzip": [35, 70, 72, 1415], "re": [35, 46, 70, 94, 98, 101, 692, 788, 793, 1041, 1390, 1419, 1421, 1422, 1426], "ignor": [35, 94, 100, 104, 169, 181, 190, 194, 196, 208, 225, 236, 284, 292, 293, 294, 295, 321, 328, 347, 348, 349, 357, 358, 362, 365, 366, 367, 369, 370, 372, 400, 412, 413, 414, 420, 421, 452, 487, 488, 489, 490, 496, 500, 501, 512, 513, 514, 587, 588, 589, 590, 627, 634, 637, 638, 673, 674, 675, 676, 678, 699, 719, 720, 735, 736, 737, 738, 739, 751, 793, 867, 873, 880, 884, 886, 894, 912, 916, 923, 925, 930, 948, 954, 962, 966, 968, 976, 994, 998, 1006, 1008, 1013, 1064, 1085, 1088, 1089, 1090, 1098, 1104, 1120, 1129, 1133, 1281, 1282, 1283, 1301, 1332, 1334, 1351, 1356, 1359, 1360, 1402, 1404, 1411, 1415, 1416, 1417, 1420, 1421, 1422, 1425, 1426, 1428, 1436], "warn": [35, 94, 96, 171, 203, 205, 311, 454, 491, 798, 868, 892, 893, 913, 928, 929, 949, 974, 975, 995, 1011, 1012, 1040, 1042, 1043, 1045, 1156, 1158, 1163, 1165, 1166, 1169, 1402, 1405, 1416, 1420, 1421, 1422, 1423, 1426, 1431, 1433, 1434], "shpfile": 35, "cartopi": [35, 1422], "simplefilt": 35, "cite": [35, 66, 94, 98, 1426], "gz": [35, 70, 72, 268, 269, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1356, 1363, 1364, 1374, 1377, 1378, 1381, 1382], "fh": [35, 70, 72, 85, 90, 268, 269, 1339, 1340, 1343, 1344, 1345, 1377, 1378, 1395], "knuth_mil": 35, "readlin": [35, 70, 72, 85, 1302], "skip": [35, 70, 353, 1415, 1421, 1422], "comment": [35, 70, 94, 95, 98, 100, 267, 268, 269, 1335, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1376, 1377, 1378, 1396, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "continu": [35, 70, 72, 94, 95, 100, 101, 108, 382, 385, 719, 720, 732, 1041, 1088, 1120, 1171, 1213, 1216, 1436], "numfind": [35, 70], "compil": [35, 66, 70, 112, 1045, 1048, 1050, 1127, 1128, 1129, 1302], "coordpop": 35, "insert": [35, 102, 154, 155, 156, 198, 323, 592, 616, 673, 674, 675, 676, 965, 966, 1005, 1006], "assign": [35, 39, 85, 97, 100, 116, 152, 153, 171, 270, 271, 272, 273, 274, 275, 276, 277, 281, 285, 288, 300, 358, 364, 368, 382, 513, 567, 568, 607, 609, 612, 613, 616, 617, 736, 756, 762, 793, 798, 852, 855, 856, 868, 897, 900, 901, 913, 933, 936, 937, 949, 979, 982, 983, 995, 1040, 1041, 1042, 1043, 1088, 1089, 1105, 1106, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1123, 1132, 1139, 1171, 1179, 1181, 1183, 1185, 1199, 1204, 1210, 1228, 1287, 1288, 1301, 1308, 1330, 1332, 1334, 1403, 1417, 1423, 1436], "string": [35, 68, 72, 89, 152, 157, 159, 167, 169, 172, 176, 177, 180, 185, 189, 190, 199, 220, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 248, 249, 253, 261, 262, 263, 266, 267, 268, 269, 281, 283, 284, 291, 296, 297, 298, 299, 302, 303, 304, 307, 308, 309, 310, 312, 313, 315, 316, 317, 324, 325, 326, 327, 328, 329, 331, 332, 354, 357, 358, 364, 365, 380, 382, 383, 385, 386, 387, 424, 431, 453, 461, 466, 473, 474, 475, 476, 477, 478, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 548, 549, 550, 554, 555, 556, 558, 559, 560, 570, 574, 576, 583, 585, 593, 594, 595, 626, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 676, 682, 689, 690, 691, 713, 721, 735, 736, 737, 738, 739, 740, 750, 753, 754, 756, 798, 855, 857, 859, 865, 867, 869, 871, 872, 875, 879, 880, 888, 900, 902, 904, 910, 912, 914, 918, 926, 936, 938, 940, 946, 948, 950, 952, 953, 957, 961, 962, 970, 982, 984, 986, 992, 994, 996, 1001, 1009, 1040, 1042, 1043, 1045, 1048, 1050, 1067, 1068, 1073, 1075, 1084, 1087, 1088, 1089, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1111, 1112, 1118, 1120, 1122, 1123, 1124, 1127, 1128, 1129, 1131, 1132, 1135, 1139, 1140, 1141, 1142, 1143, 1275, 1278, 1280, 1281, 1282, 1283, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1332, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1358, 1360, 1361, 1362, 1363, 1364, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1380, 1381, 1382, 1383, 1384, 1386, 1387, 1388, 1396, 1402, 1415, 1416, 1420, 1421, 1422, 1434, 1436], "lat": 35, "long": [35, 95, 100, 101, 102, 106, 108, 306, 354, 617, 677, 680, 782, 1085, 1112, 1201, 1414, 1420, 1422], "float": [35, 69, 85, 199, 209, 214, 221, 231, 232, 237, 242, 245, 249, 254, 261, 264, 267, 268, 275, 276, 284, 286, 291, 297, 302, 303, 304, 306, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 324, 325, 326, 329, 332, 337, 344, 357, 358, 361, 382, 383, 384, 385, 386, 387, 388, 411, 412, 413, 414, 431, 473, 474, 475, 476, 477, 478, 487, 488, 489, 496, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 521, 558, 559, 560, 566, 567, 568, 576, 583, 594, 595, 627, 649, 650, 651, 655, 658, 662, 663, 664, 669, 670, 671, 677, 678, 684, 686, 687, 688, 691, 723, 724, 725, 726, 727, 728, 753, 755, 888, 926, 970, 1009, 1084, 1101, 1103, 1104, 1105, 1106, 1119, 1120, 1139, 1140, 1141, 1142, 1143, 1171, 1174, 1175, 1176, 1177, 1179, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1210, 1211, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1242, 1243, 1244, 1247, 1275, 1281, 1282, 1283, 1284, 1285, 1286, 1296, 1325, 1339, 1342, 1343, 1344, 1351, 1354, 1355, 1356, 1364, 1390, 1402, 1414, 1418, 1420, 1421, 1423, 1425], "them": [35, 53, 55, 56, 93, 95, 100, 102, 103, 105, 106, 110, 113, 115, 116, 215, 216, 227, 239, 244, 250, 283, 298, 299, 323, 352, 413, 414, 418, 419, 420, 421, 496, 500, 501, 511, 512, 576, 600, 617, 637, 690, 691, 751, 791, 798, 1040, 1042, 1043, 1069, 1103, 1120, 1123, 1132, 1156, 1201, 1275, 1302, 1328, 1332, 1334, 1382, 1404, 1411, 1413, 1416, 1417, 1418, 1422, 1434], "pylab": [35, 1136, 1415, 1416, 1422, 1436], "provid": [35, 51, 53, 55, 58, 59, 94, 95, 100, 102, 103, 104, 105, 106, 108, 110, 111, 112, 113, 116, 124, 133, 139, 160, 166, 167, 169, 176, 185, 189, 190, 191, 199, 201, 208, 215, 217, 220, 231, 232, 233, 257, 268, 269, 278, 279, 281, 282, 283, 294, 300, 325, 326, 344, 348, 349, 350, 351, 363, 364, 386, 393, 410, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 431, 440, 466, 478, 491, 498, 513, 514, 547, 577, 588, 591, 606, 642, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 672, 677, 687, 693, 719, 720, 741, 753, 759, 763, 772, 777, 791, 798, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 860, 864, 865, 867, 871, 875, 879, 880, 881, 888, 890, 894, 905, 909, 910, 912, 918, 926, 930, 936, 937, 941, 945, 946, 948, 949, 952, 957, 962, 970, 972, 976, 982, 983, 987, 991, 992, 994, 995, 1001, 1009, 1013, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1088, 1089, 1091, 1092, 1093, 1097, 1127, 1129, 1141, 1171, 1192, 1199, 1202, 1203, 1204, 1208, 1219, 1221, 1241, 1284, 1285, 1287, 1288, 1301, 1302, 1329, 1332, 1334, 1339, 1340, 1343, 1344, 1345, 1346, 1353, 1355, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1369, 1370, 1377, 1378, 1385, 1386, 1395, 1404, 1411, 1413, 1416, 1417, 1434, 1436], "backdrop": 35, "cr": [35, 684, 686], "ccr": 35, "io": [35, 41, 57, 66, 92, 93, 108, 1045, 1204, 1306, 1332, 1395, 1415], "shaperead": 35, "shpreader": 35, "add_ax": 35, "lambertconform": 35, "frameon": 35, "set_ext": 35, "125": [35, 40, 227, 1185, 1196, 1436], "geodet": 35, "countri": 35, "state": [35, 39, 95, 100, 104, 133, 209, 214, 218, 221, 223, 224, 228, 231, 232, 233, 272, 273, 275, 276, 297, 298, 307, 331, 370, 375, 379, 380, 382, 383, 439, 529, 539, 591, 627, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 740, 749, 1105, 1114, 1120, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1216, 1221, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1325, 1334, 1418, 1420, 1427], "shapenam": 35, "admin_1_states_provinces_lakes_shp": 35, "admin_0_countri": 35, "shp": 35, "natural_earth": 35, "110m": 35, "categori": [35, 70, 94, 113], "cultur": [35, 93], "add_geometri": 35, "reader": [35, 106, 1404, 1407, 1410, 1415, 1421], "geometri": [35, 53, 55, 56, 58], "platecarre": 35, "facecolor": [35, 55, 59], "directli": [35, 54, 55, 58, 76, 77, 87, 89, 93, 101, 102, 104, 116, 152, 181, 346, 348, 350, 351, 356, 587, 589, 753, 755, 764, 855, 873, 900, 916, 936, 954, 982, 998, 1041, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1275, 1332, 1387, 1402, 1403, 1404, 1413, 1415, 1426, 1436], "rather": [35, 102, 103, 300, 312, 713, 949, 995, 1041, 1045, 1171, 1224, 1242, 1302, 1414, 1422, 1432, 1434], "advantag": [35, 39, 103, 381, 631, 1332, 1411, 1419], "zorder": 35, "lie": [35, 207, 1140, 1221, 1257], "edge_coord": 35, "except": [35, 72, 85, 89, 102, 116, 157, 162, 171, 172, 195, 208, 228, 230, 231, 232, 247, 248, 252, 256, 257, 278, 279, 282, 289, 365, 366, 367, 452, 456, 466, 467, 468, 471, 484, 498, 503, 506, 507, 510, 513, 568, 591, 599, 600, 602, 603, 606, 635, 654, 660, 729, 735, 736, 737, 738, 739, 760, 798, 857, 868, 869, 885, 894, 902, 913, 914, 924, 930, 938, 949, 950, 967, 976, 984, 995, 996, 1007, 1013, 1040, 1042, 1043, 1066, 1090, 1150, 1161, 1171, 1181, 1183, 1228, 1231, 1263, 1301, 1302, 1304, 1308, 1329, 1330, 1331, 1402, 1403, 1406, 1410, 1413, 1415, 1416, 1421, 1422, 1423, 1426, 1432, 1434, 1436], "importerror": [35, 281], "unavail": [35, 1416], "blank": [35, 1425], "though": [35, 55, 93, 103, 104, 106, 157, 172, 353, 514, 617, 620, 700, 701, 763, 764, 857, 869, 902, 914, 938, 950, 984, 996, 1120, 1141, 1171, 1302, 1332, 1413, 1436], "abl": [35, 89, 93, 95, 102, 108, 764, 1045, 1213, 1413], "discern": [35, 312], "shape": [35, 78, 101, 1045, 1139, 1140, 1142, 1143, 1174, 1221, 1363, 1416, 1422], "150": [35, 48, 84], "plot_knuth_mil": [35, 48], "variou": [36, 94, 102, 104, 364, 590, 618, 793, 1041, 1248, 1329, 1404, 1405, 1415, 1419, 1436], "cubical_graph": [36, 1332], "3113794652": 36, "800": [36, 38], "beta": [36, 325, 326, 1192, 1205, 1416], "gamma": [36, 382, 385, 386, 387, 569, 570, 571, 572, 573, 574, 575, 1192, 1243, 1244], "delta": [36, 327, 382, 387, 415, 576, 677], "font_color": [36, 1139, 1140, 1142], "whitesmok": 36, "290": [36, 48, 1230, 1234, 1238], "plot_labels_and_color": [36, 48, 1422], "subset_s": [37, 1157], "subset_color": 37, "violet": [37, 1308], "limegreen": 37, "darkorang": 37, "multilayered_graph": 37, "extent": [37, 103, 595, 689, 690, 1045, 1115, 1116], "accumul": [37, 331, 1278, 1421], "layer1": 37, "layer2": 37, "product": [37, 93, 111, 499, 607, 608, 609, 611, 612, 613, 678, 680, 687, 740, 774, 788, 1408, 1415, 1417, 1434], "113": [37, 48, 340], "plot_multipartite_graph": [37, 48], "079": [38, 48], "plot_node_colormap": [38, 48], "circular": [39, 80, 86, 87, 98, 1127, 1128, 1129, 1137, 1155, 1301, 1405, 1434], "minimum": [39, 113, 116, 142, 215, 216, 217, 219, 220, 221, 222, 224, 227, 228, 229, 234, 235, 236, 259, 265, 281, 282, 287, 323, 343, 372, 384, 385, 412, 413, 414, 415, 416, 417, 418, 419, 424, 429, 430, 431, 442, 453, 477, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 585, 673, 674, 675, 676, 692, 721, 722, 727, 728, 735, 737, 738, 739, 760, 788, 1139, 1141, 1143, 1171, 1325, 1387, 1403, 1404, 1406, 1411, 1415, 1416, 1417, 1420, 1421], "travers": [39, 53, 57, 68, 133, 207, 365, 366, 367, 383, 389, 391, 392, 396, 452, 628, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 680, 706, 707, 710, 719, 720, 760, 798, 1040, 1042, 1043, 1074, 1084, 1278, 1331, 1332, 1387, 1388, 1404, 1416, 1420, 1421], "along": [39, 68, 102, 103, 105, 106, 133, 185, 210, 229, 231, 232, 233, 389, 414, 454, 455, 456, 491, 514, 631, 736, 738, 875, 918, 957, 1001, 1140, 1278, 1335, 1421, 1422, 1436], "arc": [39, 228, 294, 413, 414, 432, 433, 510, 1141], "Such": [39, 1085, 1215, 1251], "subject": [39, 46, 94, 100, 462, 618], "ringel": 39, "2n": [39, 414, 433, 453, 514, 1225], "tile": [39, 1219, 1329], "tree": [39, 68, 80, 83, 86, 87, 227, 228, 229, 234, 235, 340, 383, 384, 389, 391, 392, 396, 452, 462, 484, 496, 502, 510, 561, 562, 579, 621, 706, 710, 713, 718, 719, 723, 729, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 741, 742, 745, 760, 767, 1151, 1153, 1161, 1182, 1188, 1190, 1202, 1203, 1204, 1226, 1227, 1242, 1243, 1244, 1278, 1279, 1331, 1371, 1372, 1387, 1388, 1393, 1403, 1404, 1406, 1410, 1411, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1426, 1429, 1430, 1433, 1434], "place": [39, 44, 94, 96, 98, 100, 101, 112, 368, 548, 549, 550, 586, 590, 615, 694, 695, 696, 762, 1109, 1112, 1120, 1170, 1179, 1199, 1202, 1203, 1204, 1205, 1263, 1276, 1301, 1302, 1303, 1332, 1402, 1404, 1407, 1411, 1415, 1420, 1421], "cover": [39, 94, 95, 98, 104, 212, 236, 265, 282, 354, 441, 442, 760, 1219, 1331, 1409, 1415, 1416, 1426, 1433], "exactli": [39, 58, 98, 103, 104, 117, 145, 166, 385, 425, 436, 473, 474, 475, 476, 477, 479, 480, 490, 493, 494, 579, 582, 590, 617, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 702, 703, 750, 752, 791, 864, 909, 945, 991, 1161, 1171, 1185, 1223, 1387], "help": [39, 92, 93, 94, 95, 101, 102, 112, 232, 250, 724, 1041, 1120, 1402, 1405, 1414, 1421, 1436], "quantamagazin": 39, "mathematician": [39, 111, 1329], "prove": [39, 282, 1275], "theori": [39, 106, 111, 264, 446, 519, 520, 608, 610, 620, 621, 682, 687, 764, 769, 1201, 1212, 1223, 1245, 1292, 1436], "20200219": 39, "tableau": 39, "node_dist_to_color": 39, "oliv": [39, 1421], "purpl": 39, "odd": [39, 493, 1064, 1085, 1198, 1219, 1221, 1231, 1239, 1245, 1247], "complete_graph": [39, 42, 76, 98, 102, 103, 208, 228, 357, 358, 359, 360, 361, 362, 378, 393, 490, 492, 494, 569, 571, 572, 573, 575, 590, 610, 619, 620, 680, 755, 777, 894, 930, 976, 1013, 1045, 1059, 1121, 1125, 1130, 1131, 1132, 1134, 1137, 1138, 1145, 1146, 1147, 1148, 1222, 1281, 1303, 1329, 1388, 1395, 1413, 1416, 1436], "ndist_it": 39, "symmetri": [39, 145, 146, 147, 148, 149, 150, 151, 547, 763, 1248, 1255], "nlist": [39, 1117, 1146, 1413, 1436], "rotat": [39, 1117, 1140], "nd": 39, "aspect": [39, 297, 302, 303, 304, 309, 310, 324, 1115], "ratio": [39, 211, 236, 289, 300, 388, 576, 623, 627, 1109, 1115, 1118, 1246, 1275, 1286], "preserv": [39, 56, 209, 600, 602, 725, 726, 727, 728, 788, 1097, 1115, 1225, 1275, 1300, 1301, 1363, 1421, 1434], "node_opt": [39, 1045, 1127, 1128, 1129], "edgedata": [39, 1097], "186": [39, 48, 85], "plot_rainbow_color": [39, 48], "random_geometric_graph": [40, 45], "896803": 40, "dmin": 40, "ncenter": 40, "reds_r": 40, "plot_random_geometric_graph": [40, 48], "monasteri": [41, 1415], "frame": [41, 53], "zipfil": [41, 66], "bytesio": [41, 66, 1395], "stringio": 41, "sampson_data": 41, "zf": [41, 66], "e1": [41, 547], "samplike1": 41, "e2": [41, 547, 1257, 1262], "samplike2": 41, "e3": 41, "samplike3": 41, "g1": [41, 76, 78, 513, 514, 527, 528, 530, 531, 532, 534, 535, 537, 538, 540, 541, 542, 544, 545, 548, 549, 550, 551, 552, 553, 557, 558, 559, 560, 563, 564, 565, 603, 606, 673, 674, 675, 676, 762, 764, 1381, 1408], "g2": [41, 78, 205, 513, 514, 527, 528, 530, 531, 532, 534, 535, 537, 538, 540, 541, 542, 544, 545, 548, 549, 550, 551, 552, 553, 557, 558, 559, 560, 563, 564, 565, 603, 606, 626, 673, 674, 675, 676, 749, 762, 764, 893, 929, 975, 1012, 1408], "g3": [41, 78], "173": [41, 326], "clf": [41, 69], "221": [41, 275, 620, 1436], "223": [41, 1436], "224": [41, 363, 385, 387, 1436], "plot_sampson": [41, 48], "nx_pylab": [42, 80, 87, 1413, 1422, 1423, 1424, 1436], "create_us": [42, 96, 103, 228, 267, 268, 270, 271, 272, 274, 275, 277, 284, 352, 353, 393, 398, 401, 407, 408, 409, 458, 463, 590, 645, 646, 654, 658, 660, 665, 697, 764, 1037, 1044, 1045, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1121, 1151, 1152, 1153, 1154, 1155, 1156, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1169, 1181, 1182, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1388, 1402, 1406, 1407, 1415, 1417, 1418, 1422, 1425, 1429], "As": [42, 44, 94, 95, 102, 213, 231, 259, 300, 376, 462, 499, 503, 506, 507, 510, 547, 590, 617, 1105, 1112, 1181, 1228, 1302, 1332, 1408, 1411, 1414, 1436], "style": [42, 47, 55, 58, 78, 94, 95, 100, 103, 110, 166, 209, 270, 274, 277, 354, 864, 909, 945, 991, 1045, 1127, 1128, 1129, 1139, 1141, 1334, 1387, 1413, 1415, 1421, 1423], "remain": [42, 100, 232, 380, 382, 385, 424, 694, 1103, 1110, 1186, 1224, 1302, 1403, 1411, 1417, 1420], "newli": [42, 1302, 1416], "dash": [42, 47, 68, 105, 1139, 1141], "127": [42, 48, 1357], "plot_selfloop": [42, 48], "47": [43, 65, 111], "091": [43, 48, 63, 73], "plot_simple_path": [43, 48], "eigenvector": [44, 312, 313, 325, 326, 334, 373, 566, 568, 760, 1118, 1275, 1282, 1329, 1403, 1415, 1416, 1434], "By": [44, 100, 101, 102, 104, 215, 216, 217, 286, 312, 313, 375, 389, 391, 392, 396, 567, 568, 600, 672, 764, 798, 1040, 1041, 1042, 1043, 1129, 1413, 1418, 1436], "emb": 44, "dimens": [44, 1045, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1199, 1201, 1202, 1203, 1204, 1217, 1218, 1220, 1275, 1329], "either": [44, 93, 94, 102, 103, 104, 106, 205, 208, 209, 240, 241, 261, 271, 340, 398, 442, 490, 493, 494, 561, 596, 597, 600, 602, 603, 605, 607, 609, 612, 613, 655, 689, 691, 694, 696, 721, 724, 735, 788, 893, 894, 930, 933, 950, 975, 976, 979, 996, 1013, 1041, 1042, 1043, 1045, 1088, 1089, 1154, 1157, 1171, 1198, 1213, 1218, 1221, 1233, 1273, 1302, 1303, 1330, 1334, 1395, 1402, 1414, 1434], "draw_spectr": [44, 1436], "similar": [44, 100, 102, 103, 104, 105, 203, 205, 237, 242, 245, 249, 261, 337, 354, 392, 426, 427, 428, 429, 438, 513, 514, 579, 606, 672, 673, 676, 677, 678, 684, 693, 706, 719, 760, 762, 788, 793, 851, 892, 893, 896, 928, 929, 932, 974, 975, 978, 1011, 1012, 1123, 1132, 1275, 1291, 1302, 1306, 1329, 1331, 1334, 1413, 1420, 1422, 1436], "incid": [44, 97, 113, 167, 168, 176, 177, 181, 189, 236, 247, 265, 382, 389, 391, 392, 396, 414, 439, 441, 442, 580, 582, 586, 587, 589, 600, 618, 865, 866, 871, 872, 873, 879, 910, 911, 916, 946, 947, 952, 953, 954, 961, 992, 993, 998, 1064, 1065, 1171, 1193, 1273, 1288, 1333, 1436], "highli": [44, 100, 375, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 793, 1045, 1411, 1416], "closer": [44, 754, 1403, 1423], "particularli": [44, 95, 98, 1275], "strike": 44, "pull": [44, 92, 94, 97, 98, 100, 101, 102, 105, 107, 108, 112, 1045, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1435], "apart": [44, 1120, 1199], "effect": [44, 103, 104, 113, 153, 304, 324, 436, 440, 452, 478, 690, 764, 793, 798, 856, 901, 937, 983, 1040, 1042, 1043, 1183, 1228, 1308, 1413], "c0": 44, "332": 44, "remove_edg": [44, 90, 194, 392, 393, 399, 502, 692, 701, 742, 743, 884, 923, 966, 1006, 1402, 1403, 1436], "334": 44, "335": 44, "336": [44, 443, 447, 448], "337": 44, "338": 44, "339": 44, "408": [44, 48], "plot_spectral_grid": [44, 48], "christofid": [45, 113, 233, 1422], "calcul": [45, 57, 97, 224, 281, 296, 298, 299, 300, 306, 307, 308, 316, 317, 318, 319, 320, 321, 331, 337, 338, 343, 382, 387, 393, 472, 478, 566, 568, 616, 621, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 675, 751, 778, 793, 1171, 1205, 1413, 1416, 1421, 1422, 1425], "rout": [45, 50, 56, 80, 86, 87, 113, 1041, 1042, 1043, 1205], "minim": [45, 57, 103, 113, 116, 145, 228, 229, 230, 231, 232, 233, 281, 343, 424, 451, 472, 496, 503, 585, 621, 659, 693, 788, 1046, 1109, 1110, 1112, 1117, 1120, 1205, 1206, 1256, 1329, 1387, 1388, 1414, 1434], "cost": [45, 102, 103, 113, 228, 230, 231, 232, 236, 460, 461, 473, 474, 475, 476, 477, 496, 498, 499, 503, 506, 507, 510, 628, 629, 634, 635, 637, 638, 654, 665, 673, 674, 675, 676, 721, 735, 760, 1039, 1084, 1088, 1091, 1101, 1103, 1105, 1107, 1111, 1302, 1408, 1411, 1414, 1415, 1421], "19": [45, 65, 67, 78, 94, 301, 348, 364, 487, 488, 489, 502, 503, 1415, 1418, 1434, 1436], "nx_app": 45, "depot": 45, "hypot": [45, 1423], "edge_list": 45, "closest": [45, 58, 227], "140": [45, 48, 1175], "plot_tsp": [45, 48], "allow": [46, 50, 53, 56, 70, 89, 93, 100, 101, 102, 103, 104, 106, 108, 111, 112, 113, 165, 169, 185, 190, 232, 233, 281, 288, 375, 425, 466, 469, 493, 494, 536, 546, 593, 594, 661, 673, 675, 682, 695, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 798, 867, 875, 880, 912, 918, 948, 957, 962, 994, 1001, 1040, 1041, 1042, 1043, 1048, 1049, 1069, 1107, 1120, 1127, 1128, 1129, 1136, 1176, 1181, 1183, 1186, 1191, 1194, 1199, 1221, 1228, 1235, 1275, 1281, 1282, 1283, 1301, 1302, 1303, 1308, 1332, 1356, 1402, 1403, 1404, 1405, 1407, 1408, 1413, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1431, 1434, 1436], "mailbox": 46, "address": [46, 98, 100, 104, 105, 108, 1287, 1414, 1417, 1422], "link": [46, 50, 53, 55, 94, 98, 100, 102, 104, 105, 106, 112, 240, 241, 285, 290, 306, 325, 326, 382, 387, 388, 389, 391, 392, 396, 414, 433, 436, 453, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 595, 760, 798, 1040, 1042, 1043, 1153, 1175, 1177, 1178, 1188, 1189, 1190, 1208, 1222, 1233, 1240, 1293, 1331, 1365, 1369, 1370, 1371, 1393, 1405, 1411, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1426, 1432, 1433, 1434, 1436], "sender": [46, 93], "receiv": [46, 93, 300, 498, 506, 507, 510, 527, 537, 557, 673, 674, 675, 676], "messag": [46, 93, 94, 95, 101, 102, 153, 158, 159, 196, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1421, 1422, 1423, 1434], "hold": [46, 89, 101, 152, 160, 167, 176, 189, 191, 197, 199, 201, 209, 228, 240, 241, 242, 243, 244, 245, 248, 253, 267, 298, 299, 304, 307, 308, 312, 316, 317, 324, 325, 326, 328, 331, 332, 354, 357, 358, 382, 383, 385, 386, 387, 493, 595, 649, 689, 690, 691, 740, 798, 855, 860, 865, 871, 879, 881, 887, 888, 890, 900, 905, 910, 926, 941, 946, 952, 961, 963, 969, 970, 972, 987, 992, 1009, 1023, 1040, 1042, 1043, 1105, 1106, 1108, 1111, 1115, 1118, 1120, 1127, 1128, 1129, 1293, 1294, 1402, 1416, 1418, 1436], "call": [46, 56, 59, 64, 94, 95, 98, 102, 103, 113, 115, 133, 142, 165, 169, 185, 190, 207, 213, 231, 232, 245, 250, 327, 340, 343, 348, 349, 396, 412, 414, 416, 418, 419, 420, 421, 428, 452, 454, 455, 466, 472, 493, 494, 496, 500, 501, 504, 505, 508, 509, 511, 512, 519, 527, 532, 537, 542, 547, 557, 586, 588, 590, 608, 617, 654, 660, 673, 674, 675, 676, 680, 693, 734, 762, 764, 769, 788, 867, 875, 880, 912, 918, 948, 950, 957, 962, 994, 996, 1001, 1039, 1041, 1044, 1048, 1049, 1050, 1088, 1089, 1090, 1091, 1100, 1104, 1120, 1125, 1126, 1127, 1129, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1160, 1161, 1192, 1205, 1263, 1275, 1302, 1308, 1309, 1329, 1334, 1369, 1370, 1388, 1402, 1413, 1414, 1415, 1416, 1422, 1423, 1433, 1434], "unix_email": 46, "mbox": [46, 259, 260], "alic": 46, "To": [46, 53, 55, 58, 59, 94, 95, 98, 100, 102, 103, 104, 111, 112, 153, 158, 159, 168, 181, 185, 196, 200, 208, 233, 239, 270, 271, 272, 273, 274, 275, 276, 277, 283, 286, 298, 299, 300, 317, 347, 348, 349, 359, 376, 382, 385, 390, 392, 394, 408, 455, 457, 462, 468, 471, 490, 510, 513, 514, 525, 588, 599, 602, 606, 638, 680, 681, 705, 706, 709, 713, 754, 764, 791, 798, 856, 858, 859, 866, 873, 875, 886, 889, 894, 901, 903, 904, 911, 916, 918, 925, 927, 930, 936, 937, 939, 940, 947, 954, 957, 968, 971, 976, 982, 983, 985, 986, 993, 998, 1001, 1008, 1010, 1013, 1040, 1041, 1042, 1043, 1045, 1064, 1066, 1069, 1085, 1115, 1117, 1126, 1181, 1183, 1188, 1190, 1199, 1204, 1218, 1228, 1273, 1278, 1301, 1308, 1330, 1331, 1332, 1334, 1337, 1339, 1340, 1342, 1343, 1365, 1369, 1370, 1371, 1377, 1381, 1402, 1408, 1410, 1411, 1413, 1414, 1417, 1436], "bob": 46, "gov": [46, 111, 1402, 1403, 1406, 1407, 1408, 1409, 1415], "ted": 46, "packag": [46, 51, 54, 55, 57, 58, 59, 87, 94, 104, 107, 108, 111, 116, 128, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 511, 512, 617, 852, 897, 933, 979, 1041, 1045, 1199, 1203, 1304, 1307, 1308, 1310, 1332, 1334, 1402, 1404, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "togeth": [46, 93, 103, 212, 290, 514, 680, 788, 1152, 1329, 1332, 1347, 1348, 1350, 1361, 1362, 1363, 1364, 1389, 1391, 1416, 1436], "lunch": 46, "discuss": [46, 93, 98, 100, 101, 106, 107, 108, 311, 312, 316, 332, 348, 349, 618, 620, 621, 1223, 1329, 1390, 1402, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "carol": [46, 1261], "getaddress": 46, "parseaddr": 46, "recip": [46, 662, 669], "doc": [46, 94, 100, 102, 107, 166, 203, 205, 283, 568, 622, 751, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1203, 1379, 1381, 1382, 1397, 1405, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1429, 1430, 1431, 1433, 1434], "mbox_graph": 46, "pars": [46, 66, 267, 1338, 1342, 1354, 1355, 1357, 1358, 1376, 1380, 1383, 1384, 1389, 1391, 1393, 1407, 1415, 1417, 1423, 1428, 1434], "msg": [46, 94, 104], "source_nam": 46, "source_addr": 46, "recipi": 46, "tos": 46, "get_al": 46, "cc": [46, 72, 128, 143, 144, 323, 425, 427, 1422], "resent_to": 46, "resent": 46, "resent_cc": 46, "all_recipi": 46, "now": [46, 55, 76, 77, 94, 98, 102, 133, 382, 756, 764, 966, 1006, 1183, 1223, 1284, 1285, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1434, 1436], "mail": [46, 93, 94, 95, 100, 101, 104, 105, 107, 1402, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "target_nam": 46, "target_addr": 46, "227": 46, "199": [46, 48], "plot_unix_email": [46, 48], "elarg": 47, "esmal": 47, "700": 47, "font_famili": [47, 1139, 1140, 1142], "san": [47, 133, 734, 1139, 1140, 1142, 1245], "serif": [47, 1139, 1140, 1142], "edge_label": [47, 68, 1127, 1128, 1129, 1140], "get_edge_attribut": [47, 1088, 1413], "draw_networkx_edge_label": [47, 68, 1136, 1139, 1141, 1142, 1143, 1422], "plot_weighted_graph": [47, 48], "391": 48, "auto_examples_draw": 48, "javascript": [49, 52, 87, 1365, 1369, 1371, 1408, 1415, 1419, 1422], "igraph": [49, 52, 87, 1422], "json": [50, 59, 1331, 1365, 1367, 1368, 1369, 1370, 1371, 1392, 1408, 1411, 1415, 1416, 1420, 1421], "d3": [50, 1393, 1408, 1415], "need": [50, 55, 58, 59, 74, 77, 80, 82, 84, 85, 87, 94, 95, 98, 100, 102, 103, 104, 105, 108, 112, 185, 209, 221, 231, 232, 233, 298, 302, 303, 309, 310, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 428, 429, 452, 468, 514, 579, 596, 600, 656, 657, 693, 719, 720, 721, 732, 735, 763, 782, 788, 875, 918, 949, 956, 957, 995, 1000, 1001, 1041, 1048, 1112, 1142, 1186, 1199, 1206, 1214, 1278, 1302, 1332, 1334, 1351, 1354, 1355, 1356, 1382, 1387, 1388, 1390, 1403, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1425, 1430, 1434, 1436], "directori": [50, 54, 87, 94, 98, 100, 103, 112, 1415, 1421, 1422, 1436], "flask": 50, "barbell_graph": [50, 94, 126, 294, 295, 387, 389, 391, 393, 422, 423, 426, 445, 697, 698, 1282, 1388, 1414, 1434, 1436], "mous": 50, "hover": 50, "json_graph": [50, 96, 1365, 1366, 1371, 1372, 1411, 1422, 1423, 1434], "node_link_data": [50, 96, 1365, 1366, 1370, 1371, 1372, 1392], "serial": [50, 1365, 1369, 1370, 1371], "dump": [50, 1365, 1369, 1370, 1371, 1411, 1413, 1414, 1421], "wrote": 50, "serv": [50, 93], "cross": [50, 59, 70, 94, 311, 1109, 1110, 1112, 1117, 1259, 1422], "request": [50, 66, 92, 93, 94, 97, 98, 100, 101, 103, 105, 108, 167, 169, 176, 177, 185, 189, 190, 579, 865, 867, 871, 872, 875, 879, 880, 910, 912, 918, 946, 948, 952, 953, 957, 961, 962, 992, 994, 1001, 1045, 1046, 1087, 1404, 1415, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1435], "app": 50, "__name__": [50, 1302], "static_fold": 50, "static_proxi": 50, "send_static_fil": 50, "ngo": 50, "localhost": 50, "8000": [50, 69], "port": [50, 1361, 1362, 1363, 1364, 1391, 1420], "javascript_forc": [50, 52], "popular": [51, 94, 102, 1436], "among": [51, 95, 101, 108, 111, 221, 227, 264, 265, 311, 375, 380, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 430, 466, 502, 504, 505, 508, 509, 583, 627, 634, 635, 637, 638, 1278, 1411], "ig": 51, "dense_gnm_random_graph": [51, 1237, 1415], "30": [51, 65, 67, 69, 84, 102, 261, 262, 263, 290, 298, 299, 307, 308, 316, 348, 363, 364, 385, 386, 557, 593, 594, 688, 695, 705, 1176, 1230, 1234, 1238, 1252, 1254, 1260, 1405, 1412, 1419, 1436], "42": [51, 65, 89, 94, 348, 349, 459, 460, 461, 627, 1175, 1177, 1187, 1277, 1325, 1334, 1344], "from_networkx": 51, "nrow": 51, "ncol": 51, "draw_kamada_kawai": 51, "layout_kamada_kawai": 51, "grg": 51, "to_networkx": [51, 55, 56, 58, 59], "658": [51, 52], "plot_igraph": [51, 52], "auto_examples_extern": 52, "shapefil": [53, 57, 1406, 1410, 1415, 1417], "howev": [53, 56, 89, 100, 102, 104, 111, 116, 133, 230, 289, 325, 326, 339, 347, 348, 349, 391, 469, 514, 724, 740, 755, 763, 793, 798, 949, 995, 1040, 1041, 1042, 1043, 1105, 1106, 1181, 1223, 1284, 1285, 1302, 1306, 1404, 1414, 1436], "recommend": [53, 94, 100, 104, 106, 111, 116, 297, 302, 303, 304, 309, 310, 324, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 431, 498, 596, 597, 600, 602, 603, 672, 677, 1045, 1284, 1285, 1332, 1369, 1370, 1411, 1414, 1416, 1422, 1434], "includ": [53, 70, 89, 93, 94, 96, 97, 100, 101, 103, 104, 105, 106, 107, 108, 110, 111, 116, 133, 157, 160, 161, 185, 191, 201, 207, 228, 229, 230, 231, 232, 233, 239, 244, 265, 281, 298, 316, 332, 340, 349, 357, 359, 362, 442, 445, 449, 452, 455, 458, 459, 463, 490, 494, 514, 577, 586, 601, 604, 617, 631, 637, 654, 656, 660, 674, 675, 677, 690, 719, 720, 721, 724, 725, 726, 727, 728, 734, 735, 764, 774, 777, 793, 798, 857, 860, 861, 875, 881, 890, 902, 905, 906, 918, 938, 941, 942, 957, 963, 972, 984, 987, 988, 1001, 1039, 1040, 1042, 1043, 1045, 1048, 1088, 1091, 1105, 1127, 1129, 1131, 1132, 1141, 1171, 1179, 1185, 1195, 1200, 1221, 1223, 1275, 1301, 1302, 1313, 1318, 1329, 1332, 1334, 1391, 1397, 1402, 1404, 1405, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1431, 1434, 1435, 1436], "geopanda": [53, 55, 56, 57, 58, 59, 108], "interoper": [53, 97, 1353], "storag": [53, 102, 788, 1332], "mechan": [53, 100, 102, 103, 111, 275, 360, 385, 387, 1334, 1391, 1417, 1419], "databas": [53, 428, 788], "panda": [53, 55, 58, 94, 102, 108, 1100, 1102, 1103, 1106, 1107, 1331, 1404, 1414, 1415, 1421, 1422, 1423], "tabular": 53, "orient": [53, 71, 93, 165, 207, 340, 452, 617, 620, 621, 638, 703, 710, 718, 719, 720, 754, 755, 791, 793, 1288, 1371, 1404], "well": [53, 56, 59, 93, 98, 100, 104, 105, 106, 108, 110, 111, 166, 167, 169, 176, 180, 185, 189, 190, 211, 306, 331, 382, 400, 470, 547, 603, 631, 690, 735, 763, 764, 864, 865, 867, 871, 875, 879, 880, 909, 910, 912, 918, 945, 946, 948, 952, 957, 962, 991, 992, 994, 1001, 1058, 1154, 1205, 1284, 1285, 1308, 1309, 1332, 1402, 1413, 1434, 1436], "wide": [53, 94, 106, 570, 574, 621, 777], "predic": [53, 59], "intersect": [53, 56, 212, 479, 480, 618, 619, 734, 760, 774, 1113, 1209, 1210, 1211, 1212, 1223, 1331, 1332, 1403, 1409, 1415, 1422], "area": [53, 100, 788, 1136, 1205, 1208], "polygon": [53, 54, 55, 58, 60, 87], "delaunai": [53, 54, 60, 87], "geograph": [53, 54, 56, 59, 60, 87, 1199, 1204, 1407, 1415], "openstreetmap": [53, 54, 60, 87], "osmnx": [53, 54, 60, 87, 1422], "pysal": [53, 56, 58, 59], "suit": [53, 94, 98, 1041, 1391, 1423], "context": [53, 102, 678, 693, 764, 793, 1223, 1273, 1411, 1420, 1421, 1434, 1436], "levi": [53, 1422], "pleas": [53, 66, 92, 93, 94, 95, 100, 111, 112, 1332, 1351, 1354, 1355, 1356, 1390, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "momepi": [53, 56], "focus": [53, 100, 788, 1275], "urban": 53, "morphologi": 53, "enabl": [53, 103, 104, 108, 133, 166, 312, 788, 864, 909, 936, 945, 982, 991, 1045, 1240, 1302, 1404, 1405, 1419, 1421, 1422, 1423], "multigraph": [53, 89, 94, 102, 103, 152, 153, 157, 158, 159, 161, 163, 164, 166, 171, 172, 173, 179, 187, 188, 194, 195, 196, 199, 200, 203, 205, 208, 210, 211, 212, 213, 225, 227, 270, 272, 274, 277, 284, 288, 292, 294, 296, 305, 322, 330, 339, 341, 342, 344, 345, 388, 424, 426, 427, 428, 431, 445, 449, 450, 452, 462, 469, 490, 492, 496, 500, 501, 504, 505, 511, 512, 517, 557, 563, 564, 565, 567, 587, 589, 590, 600, 603, 604, 607, 609, 612, 613, 614, 617, 654, 659, 660, 679, 698, 719, 720, 734, 736, 738, 744, 745, 764, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 868, 869, 870, 877, 878, 884, 885, 886, 888, 889, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 912, 913, 914, 915, 917, 920, 921, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 949, 950, 951, 956, 958, 959, 960, 966, 967, 968, 970, 971, 974, 975, 976, 1039, 1040, 1041, 1042, 1055, 1063, 1069, 1078, 1083, 1087, 1088, 1091, 1097, 1098, 1100, 1101, 1103, 1104, 1105, 1106, 1107, 1130, 1133, 1160, 1172, 1173, 1181, 1183, 1196, 1197, 1198, 1222, 1223, 1228, 1281, 1282, 1283, 1287, 1288, 1291, 1292, 1295, 1297, 1299, 1301, 1304, 1332, 1348, 1351, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1367, 1368, 1369, 1370, 1381, 1384, 1402, 1404, 1407, 1408, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1429, 1433], "back": [53, 55, 56, 58, 59, 75, 76, 94, 102, 113, 228, 389, 391, 392, 396, 706, 719, 949, 995, 1041, 1418, 1421], "geodatafram": [53, 56, 57], "analyt": [53, 333], "aim": [53, 94, 108, 110, 788], "morpholog": 53, "street": [53, 55, 56, 57, 58], "configur": [53, 63, 65, 94, 112, 1171, 1181, 1183, 1228, 1293, 1294, 1415, 1422], "tool": [53, 100, 103, 106, 108, 111, 1045, 1199, 1203, 1332, 1416, 1420], "retriev": [53, 57, 100, 566, 568, 1103, 1403], "analyz": [53, 57, 111, 145, 258, 259, 260, 287, 289, 387, 390, 395, 403, 693, 794, 1332, 1407, 1415], "infrastructur": [53, 111, 1415, 1423, 1434], "elev": 53, "grade": [53, 72], "googl": [53, 92, 94, 106, 567, 753, 1332, 1402, 1423], "api": [53, 94, 95, 96, 97, 99, 100, 101, 104, 107, 108, 110, 1332, 1334, 1402, 1403, 1412, 1413, 1428], "speed": [53, 57, 108, 216, 292, 293, 348, 349, 425, 429, 511, 798, 1040, 1042, 1043, 1139, 1141, 1179, 1200, 1402, 1411, 1415, 1417, 1419, 1420, 1421, 1422, 1423, 1434], "bear": 53, "also": [53, 55, 56, 57, 58, 59, 64, 76, 89, 93, 94, 95, 96, 98, 100, 102, 103, 104, 106, 108, 111, 112, 157, 160, 163, 169, 177, 178, 181, 185, 190, 191, 201, 208, 209, 212, 227, 231, 281, 288, 294, 302, 303, 304, 309, 310, 324, 325, 326, 344, 348, 371, 390, 393, 413, 414, 418, 419, 420, 421, 425, 426, 427, 429, 437, 442, 452, 466, 467, 468, 469, 472, 502, 503, 504, 505, 508, 509, 510, 511, 513, 514, 547, 557, 579, 583, 587, 589, 599, 602, 606, 607, 609, 612, 613, 614, 617, 620, 678, 681, 690, 692, 693, 743, 762, 763, 788, 798, 852, 857, 860, 862, 867, 872, 873, 875, 880, 881, 890, 894, 897, 902, 905, 907, 912, 916, 918, 930, 933, 938, 941, 943, 948, 950, 953, 954, 957, 962, 972, 976, 979, 984, 987, 989, 994, 996, 998, 1001, 1013, 1040, 1042, 1043, 1085, 1097, 1105, 1106, 1120, 1127, 1128, 1129, 1136, 1139, 1140, 1141, 1142, 1143, 1148, 1151, 1160, 1171, 1196, 1198, 1199, 1201, 1205, 1223, 1228, 1230, 1234, 1236, 1238, 1253, 1259, 1263, 1275, 1276, 1278, 1284, 1285, 1301, 1302, 1303, 1308, 1309, 1330, 1332, 1349, 1358, 1369, 1384, 1386, 1390, 1402, 1404, 1411, 1413, 1416, 1418, 1420, 1421, 1422, 1423, 1426, 1434, 1436], "osm": [53, 57], "footprint": [53, 89], "public": [53, 93, 101, 111, 258, 259, 260, 287, 289, 327, 332, 444, 449, 450, 557, 764, 1334, 1421, 1422, 1423, 1428, 1436], "park": 53, "school": 53, "transit": [53, 71, 104, 214, 327, 469, 470, 471, 547, 567, 568, 588, 750, 752, 760, 763, 1208, 1240, 1241, 1252, 1289, 1290, 1404, 1413, 1415, 1417, 1420, 1422], "etc": [53, 89, 95, 96, 100, 102, 103, 108, 112, 152, 153, 157, 158, 159, 161, 163, 164, 166, 169, 171, 172, 173, 187, 188, 190, 193, 194, 195, 196, 199, 200, 203, 205, 233, 268, 347, 617, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 867, 868, 869, 870, 877, 878, 880, 883, 884, 885, 886, 888, 889, 892, 893, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 912, 913, 914, 915, 917, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 931, 932, 933, 934, 935, 937, 938, 939, 940, 942, 943, 944, 945, 951, 956, 959, 960, 966, 967, 968, 970, 971, 975, 977, 978, 980, 981, 983, 984, 985, 986, 988, 989, 990, 991, 992, 997, 999, 1000, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1041, 1055, 1069, 1078, 1083, 1087, 1136, 1140, 1142, 1160, 1302, 1309, 1330, 1339, 1343, 1344, 1404, 1413, 1414, 1416, 1436], "essenti": [53, 104, 348, 1041, 1223, 1240, 1332], "task": [53, 468, 1045], "relationship": [53, 56, 59, 71, 306, 690, 1332], "featur": [53, 92, 94, 95, 98, 100, 103, 104, 105, 106, 108, 111, 384, 496, 514, 621, 798, 1040, 1041, 1042, 1043, 1045, 1120, 1136, 1139, 1223, 1302, 1334, 1390, 1391, 1405, 1409, 1410, 1412, 1413, 1416, 1419, 1420, 1421, 1434], "queen": [53, 56, 59], "rook": [53, 55, 59], "brief": [53, 94, 133, 621], "explan": [53, 95, 106, 162, 681], "represent": [53, 111, 203, 205, 238, 243, 246, 247, 248, 266, 267, 269, 283, 284, 329, 514, 557, 631, 730, 732, 764, 788, 892, 893, 928, 974, 975, 1011, 1094, 1095, 1097, 1098, 1101, 1102, 1103, 1104, 1120, 1123, 1132, 1136, 1276, 1287, 1332, 1338, 1341, 1342, 1345, 1347, 1353, 1376, 1387, 1388, 1391, 1399, 1402, 1408, 1414, 1415, 1422], "primal": [53, 56, 510, 583], "dual": [53, 55, 56, 583, 1233, 1419, 1422], "sens": [53, 98, 100, 105, 200, 311, 462, 588, 793, 889, 927, 971, 1010, 1223, 1240, 1275, 1332, 1412, 1413], "approach": [53, 56, 100, 102, 104, 105, 108, 116, 343, 347, 464, 466, 468, 502, 521, 618, 680, 1097, 1181, 1194, 1208, 1228, 1416, 1422], "segment": [53, 56, 340], "major": [53, 96, 99, 100, 101, 103, 104, 105, 107, 108, 1402, 1403, 1412, 1413, 1416], "studi": [53, 92, 111, 608, 1198, 1202, 1329, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "topologi": [53, 56, 437, 438, 514, 683, 685, 750, 1208, 1223, 1231, 1235, 1239, 1247, 1332], "encod": [53, 56, 59, 68, 100, 142, 250, 268, 269, 621, 760, 777, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1354, 1355, 1356, 1360, 1361, 1364, 1369, 1374, 1377, 1378, 1381, 1382, 1390, 1415, 1416, 1421], "angular": [53, 56], "inform": [53, 67, 93, 94, 100, 101, 102, 103, 104, 108, 112, 113, 122, 133, 160, 166, 201, 203, 205, 221, 227, 231, 232, 250, 302, 303, 304, 309, 310, 315, 324, 325, 326, 327, 340, 407, 408, 440, 455, 457, 482, 490, 502, 514, 566, 568, 570, 574, 575, 576, 585, 594, 616, 621, 626, 693, 777, 784, 788, 798, 860, 864, 890, 892, 893, 905, 909, 928, 929, 941, 945, 972, 974, 975, 987, 991, 1011, 1012, 1040, 1042, 1043, 1045, 1115, 1147, 1149, 1191, 1212, 1220, 1222, 1223, 1224, 1225, 1273, 1286, 1296, 1302, 1362, 1379, 1381, 1382, 1389, 1391, 1397, 1398, 1402, 1403, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "angl": [53, 56, 1117, 1119, 1127, 1128, 1129], "instead": [53, 94, 95, 102, 103, 104, 107, 142, 166, 171, 283, 321, 340, 368, 372, 392, 394, 401, 407, 408, 409, 413, 414, 418, 419, 420, 421, 426, 427, 429, 502, 563, 564, 565, 587, 589, 634, 729, 731, 733, 735, 736, 737, 738, 739, 798, 864, 868, 909, 913, 945, 949, 991, 995, 1040, 1041, 1042, 1043, 1045, 1100, 1105, 1106, 1130, 1133, 1141, 1178, 1185, 1190, 1192, 1198, 1199, 1205, 1213, 1223, 1306, 1348, 1381, 1387, 1388, 1391, 1402, 1403, 1404, 1406, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1432, 1433, 1434, 1436], "nonplanar": [53, 1256], "form": [53, 56, 106, 111, 152, 171, 221, 239, 379, 383, 393, 424, 429, 442, 451, 452, 453, 490, 502, 519, 523, 569, 570, 571, 572, 573, 574, 575, 576, 580, 581, 582, 590, 591, 679, 681, 699, 713, 719, 720, 721, 731, 732, 733, 750, 754, 769, 788, 793, 855, 868, 900, 913, 936, 949, 982, 995, 1041, 1067, 1088, 1152, 1173, 1205, 1212, 1221, 1223, 1228, 1246, 1249, 1251, 1254, 1258, 1408, 1415, 1416, 1436], "flow": [53, 67, 106, 279, 297, 302, 303, 304, 309, 310, 324, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 425, 429, 430, 432, 433, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 521, 561, 758, 760, 1273, 1331, 1404, 1408, 1409, 1412, 1415, 1416, 1417, 1420, 1423, 1434], "dead": 53, "detail": [53, 54, 87, 93, 94, 98, 100, 101, 129, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 283, 285, 286, 287, 288, 289, 298, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 478, 496, 500, 501, 502, 511, 512, 513, 514, 576, 693, 713, 722, 737, 739, 793, 798, 1040, 1042, 1043, 1045, 1105, 1108, 1139, 1143, 1146, 1213, 1302, 1325, 1351, 1354, 1355, 1356, 1387, 1402, 1408, 1409, 1410, 1411, 1415, 1422, 1423, 1436], "methodologi": 53, "avail": [53, 94, 100, 101, 102, 104, 142, 185, 227, 233, 281, 424, 427, 428, 587, 589, 782, 875, 918, 957, 1001, 1042, 1045, 1200, 1202, 1203, 1204, 1334, 1337, 1340, 1402, 1403, 1405, 1411, 1414, 1415, 1418, 1421, 1422, 1436], "1016": [53, 113, 227, 232, 275, 298, 299, 300, 304, 307, 308, 314, 323, 324, 340, 348, 349, 457, 762, 1239], "compenvurbsi": 53, "2017": [53, 228, 514, 1213, 1214, 1415, 1416], "scienc": [53, 92, 102, 106, 108, 110, 111, 113, 220, 229, 250, 297, 302, 303, 304, 309, 310, 324, 327, 348, 349, 411, 414, 433, 443, 447, 448, 455, 478, 500, 620, 621, 682, 683, 685, 1209, 1229, 1261], "pydata": [53, 1422, 1432, 1433, 1434], "stack": [53, 112, 348, 695, 1048, 1049], "showcas": [54, 87, 94, 110], "analys": [54, 71, 87, 311], "ecosystem": [54, 87, 100, 101, 105, 108, 111, 1434], "descript": [54, 87, 94, 98, 466, 468, 706, 719, 788, 1127, 1128, 1129, 1136, 1137, 1138, 1139, 1144, 1145, 1146, 1147, 1148, 1213, 1228, 1248, 1416, 1420, 1422, 1430, 1431], "plu": [55, 388, 585, 1039, 1091, 1154, 1259], "voronoi": [55, 754, 760, 1331, 1416], "cholera": [55, 58], "broad": [55, 58, 106, 1302], "pump": [55, 58], "record": [55, 58, 95, 100, 693, 1436], "john": [55, 58, 92, 279, 570, 574, 687, 1211, 1256, 1417, 1422], "snow": [55, 58], "1853": [55, 58], "method": [55, 58, 59, 76, 89, 93, 94, 96, 102, 103, 104, 108, 113, 144, 162, 165, 166, 186, 187, 188, 191, 201, 203, 205, 207, 208, 227, 232, 233, 251, 261, 262, 263, 300, 302, 303, 304, 309, 310, 312, 313, 324, 325, 338, 376, 378, 381, 382, 383, 387, 425, 442, 453, 464, 478, 502, 516, 529, 539, 547, 566, 568, 570, 574, 583, 585, 602, 606, 617, 634, 635, 637, 638, 656, 657, 658, 673, 674, 675, 676, 686, 694, 721, 722, 735, 740, 754, 777, 788, 854, 864, 876, 877, 878, 881, 890, 892, 893, 894, 899, 909, 919, 920, 921, 928, 929, 930, 935, 936, 937, 945, 958, 959, 960, 974, 975, 976, 981, 982, 983, 991, 1002, 1003, 1004, 1011, 1012, 1013, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1041, 1046, 1047, 1048, 1049, 1069, 1180, 1188, 1190, 1199, 1203, 1281, 1282, 1283, 1286, 1302, 1307, 1308, 1329, 1332, 1369, 1404, 1408, 1412, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1434, 1436], "shown": [55, 58, 101, 103, 519, 520, 949, 995, 1045, 1281, 1282, 1283, 1306, 1355, 1387, 1388, 1413], "centroid": [55, 58, 59], "libpys": [55, 56, 58, 59], "cg": [55, 103, 297, 302, 303, 304, 309, 310, 324, 590], "voronoi_fram": 55, "contextili": [55, 56, 58], "add_basemap": [55, 56, 58], "geopackag": [55, 56, 57, 58], "sqlite": [55, 58], "reli": [55, 58, 100, 104, 364, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 504, 505, 508, 509, 1402, 1416, 1420, 1434], "fiona": [55, 58], "level": [55, 58, 102, 104, 105, 107, 112, 113, 116, 126, 166, 221, 323, 336, 338, 376, 382, 383, 389, 391, 392, 396, 425, 429, 642, 693, 772, 788, 864, 909, 945, 991, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1097, 1111, 1161, 1208, 1213, 1214, 1242, 1302, 1329, 1334, 1405, 1408, 1416, 1421, 1422, 1423], "interfac": [55, 58, 59, 76, 77, 97, 99, 100, 102, 103, 108, 110, 111, 185, 431, 498, 675, 760, 763, 764, 782, 875, 918, 957, 1001, 1045, 1047, 1332, 1334, 1402, 1405, 1407, 1411, 1413, 1414, 1415, 1418, 1422, 1423, 1434, 1436], "kind": [55, 58, 59, 93, 94, 95, 100, 209, 468, 724, 1208, 1332, 1391], "read_fil": [55, 56, 58, 59], "cholera_cas": [55, 58], "gpkg": [55, 57, 58], "correctli": [55, 165, 325, 326, 1402, 1413, 1415, 1420, 1421, 1428, 1434], "construct": [55, 56, 57, 58, 59, 68, 95, 103, 228, 230, 231, 232, 233, 270, 274, 277, 354, 425, 452, 462, 515, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 611, 687, 697, 710, 718, 734, 1045, 1049, 1050, 1055, 1056, 1104, 1105, 1106, 1107, 1108, 1159, 1160, 1181, 1183, 1184, 1186, 1192, 1196, 1197, 1198, 1201, 1209, 1213, 1214, 1215, 1216, 1223, 1225, 1228, 1235, 1242, 1257, 1265, 1269, 1275, 1278, 1284, 1285, 1302, 1329, 1333, 1387, 1388, 1404, 1408, 1415, 1418, 1424, 1434], "column_stack": [55, 58, 59], "could": [55, 94, 102, 103, 104, 106, 166, 216, 217, 225, 583, 681, 864, 909, 945, 991, 1069, 1097, 1105, 1106, 1123, 1132, 1180, 1302, 1306, 1332, 1402, 1413, 1423, 1436], "present": [55, 59, 94, 108, 111, 133, 185, 221, 227, 316, 317, 332, 359, 361, 431, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 569, 583, 596, 597, 599, 602, 603, 606, 634, 635, 637, 638, 661, 672, 751, 788, 875, 918, 957, 1001, 1046, 1048, 1064, 1085, 1127, 1128, 1129, 1156, 1158, 1163, 1165, 1166, 1169, 1171, 1284, 1285, 1359, 1360, 1363, 1389, 1391, 1416, 1420, 1436], "alongsid": [55, 440], "diagram": [55, 133, 383, 754], "intrins": 55, "put": [55, 93, 96, 103, 227, 1332, 1413, 1415], "underli": [55, 102, 103, 133, 153, 158, 159, 162, 196, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 492, 493, 502, 617, 744, 745, 793, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1041, 1231, 1239, 1247, 1332, 1402, 1403, 1411], "quickli": [55, 1245], "Be": [55, 93, 1041, 1141, 1413], "care": [55, 93, 101, 103, 107, 108, 110, 116, 157, 857, 902, 938, 984, 1041, 1332, 1413, 1415], "bound": [55, 113, 215, 216, 217, 218, 221, 225, 228, 265, 301, 344, 354, 439, 442, 677, 1046, 1171, 1241, 1325, 1422, 1423, 1425], "box": [55, 108, 1140, 1142, 1277, 1329], "control": [55, 169, 180, 190, 205, 231, 232, 325, 326, 452, 469, 867, 880, 893, 912, 948, 962, 994, 1334, 1411, 1417, 1418, 1422, 1434], "cell": [55, 59, 754, 760, 1277, 1329, 1331, 1416], "convex": 55, "hull": 55, "contigu": [55, 59, 440, 1105, 1283, 1284], "being": [55, 93, 95, 96, 100, 102, 103, 110, 218, 228, 466, 467, 468, 561, 562, 713, 1041, 1048, 1150, 1181, 1242, 1302, 1402, 1403, 1416, 1421, 1422, 1425, 1434], "face": [55, 102, 103, 116, 184, 207, 617, 1046, 1268, 1269], "analogu": [55, 59, 231], "von": 55, "neuman": 55, "neighborhood": [55, 59, 115, 214, 241, 250, 286, 287, 325, 326, 514, 692, 788, 1195], "cardin": [55, 116, 219, 222, 265, 278, 279, 280, 281, 341, 343, 345, 347, 416, 417, 418, 419, 430, 442, 443, 446, 448, 583, 585, 613, 693, 1404], "regular": [55, 59, 66, 89, 100, 479, 480, 481, 482, 624, 625, 626, 760, 1041, 1191, 1196, 1197, 1198, 1245, 1251, 1256, 1257, 1260, 1264, 1267, 1268, 1269, 1270, 1286, 1296, 1329, 1331, 1403, 1404, 1407, 1415, 1421, 1422, 1434], "come": [55, 94, 101, 102, 103, 106, 519, 579, 590, 600, 610, 679, 700, 701, 1049, 1249, 1332, 1411, 1422], "piec": [55, 376], "move": [55, 95, 96, 101, 102, 106, 231, 232, 379, 382, 1120, 1213, 1216, 1402, 1404, 1413, 1414, 1415, 1416, 1420, 1422, 1425, 1428, 1430, 1434], "chessboard": 55, "from_datafram": [55, 56, 58, 59], "built": [55, 70, 94, 103, 104, 107, 231, 232, 364, 466, 1105, 1106, 1108, 1188, 1189, 1190, 1302, 1334, 1405, 1436], "relev": [55, 94, 100, 102, 104, 105, 107, 133, 169, 177, 185, 190, 499, 503, 506, 507, 510, 659, 867, 872, 875, 880, 912, 918, 948, 953, 957, 962, 994, 1001, 1087, 1313, 1318, 1329, 1420, 1426], "delaunay_graph": 55, "merg": [55, 58, 59, 94, 100, 101, 107, 385, 586, 587, 589, 1328, 1412], "nice": [55, 58, 59, 102, 106, 215, 348, 496, 1064, 1334, 1388, 1419], "basemap": [55, 58, 59], "lightblu": [55, 59], "cornsilk": 55, "697": [55, 60], "plot_delaunai": [55, 60], "sometim": [56, 64, 93, 95, 100, 103, 110, 200, 348, 349, 613, 731, 733, 889, 927, 971, 1010, 1046, 1120, 1161, 1253, 1334, 1413], "linestr": 56, "altern": [56, 59, 77, 93, 100, 112, 133, 151, 270, 334, 335, 379, 386, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 504, 505, 508, 509, 521, 617, 782, 917, 999, 1041, 1105, 1106, 1108, 1180, 1199, 1205, 1284, 1285, 1287, 1332, 1334, 1337, 1340, 1411, 1416, 1434], "ll": [56, 58, 59, 94, 1334, 1436], "river": 56, "via": [56, 74, 77, 81, 87, 92, 93, 100, 101, 102, 104, 112, 129, 153, 158, 191, 201, 316, 332, 381, 440, 452, 473, 474, 475, 476, 477, 548, 549, 550, 569, 575, 620, 621, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 692, 713, 760, 764, 798, 856, 858, 881, 890, 901, 903, 937, 939, 983, 985, 1040, 1041, 1042, 1043, 1045, 1048, 1074, 1139, 1141, 1152, 1160, 1163, 1171, 1276, 1279, 1302, 1332, 1387, 1388, 1402, 1408, 1413, 1419, 1422, 1436], "furthermor": [56, 102, 364, 424, 699, 793], "raw": [56, 92, 1045], "geojson": [56, 59], "3390": [56, 1420], "data5010008": 56, "nicola": [56, 382], "cadieux": 56, "gdf_to_nx": 56, "sharex": [56, 83], "sharei": [56, 83], "facet": [56, 58], "nx_to_gdf": 56, "spatial_weight": 56, "get_path": 56, "bubenec": 56, "g_primal": 56, "row": [56, 239, 244, 283, 301, 327, 567, 631, 678, 1045, 1100, 1103, 1105, 1106, 1108, 1115, 1127, 1129, 1219, 1221, 1277, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1329, 1415, 1422], "g_dual": 56, "significantli": [56, 95, 110, 740], "490": [56, 60], "plot_lin": [56, 60], "save": [57, 166, 221, 228, 357, 385, 762, 864, 909, 945, 991, 1302, 1332, 1436], "graphml": [57, 112, 1045, 1331, 1332, 1361, 1362, 1363, 1364, 1392, 1403, 1406, 1407, 1410, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1436], "readthedoc": [57, 108, 1405, 1415], "document": [57, 59, 92, 93, 94, 95, 97, 98, 99, 100, 101, 102, 103, 106, 107, 110, 111, 112, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 521, 585, 621, 754, 1045, 1103, 1127, 1129, 1136, 1139, 1140, 1141, 1142, 1143, 1332, 1351, 1354, 1355, 1356, 1365, 1369, 1371, 1390, 1402, 1408, 1411, 1413, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "usag": [57, 96, 100, 108, 306, 798, 1040, 1042, 1043, 1171, 1350, 1414, 1415, 1416, 1421, 1422, 1423, 1425, 1426], "ox": [57, 750, 752], "config": [57, 1413, 1420], "use_cach": 57, "log_consol": 57, "graph_from_point": 57, "79": [57, 454, 455, 515, 1184, 1186], "122": [57, 1241, 1332, 1436], "41": [57, 65, 298, 1192, 1277, 1434], "750": 57, "network_typ": 57, "drive": 57, "imput": 57, "add_edge_spe": 57, "add_edge_travel_tim": 57, "gdf_node": 57, "gdf_edg": 57, "graph_to_gdf": 57, "graph_from_gdf": 57, "graph_attr": [57, 78, 1121, 1125], "choos": [57, 93, 94, 102, 103, 142, 214, 234, 235, 272, 276, 364, 372, 376, 411, 793, 1069, 1114, 1139, 1141, 1191, 1192, 1230, 1234, 1235, 1236, 1238, 1241, 1326, 1327, 1387, 1418, 1434], "travel_tim": 57, "utils_graph": 57, "get_digraph": 57, "bc": [57, 590, 1157], "normal": [57, 100, 238, 239, 243, 244, 246, 258, 259, 260, 297, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 310, 315, 316, 322, 323, 325, 326, 327, 328, 329, 330, 332, 358, 449, 566, 571, 600, 627, 687, 690, 691, 735, 736, 737, 738, 739, 1088, 1139, 1140, 1142, 1174, 1281, 1282, 1283, 1284, 1285, 1290, 1292, 1299, 1302, 1306, 1320, 1321, 1410, 1412, 1415, 1422], "set_node_attribut": [57, 239, 252, 600, 762, 1413, 1416], "get_node_colors_by_attr": 57, "plot_graph": 57, "bgcolor": 57, "edge_linewidth": 57, "333333": 57, "save_graph_shapefil": 57, "filepath": [57, 59], "graph_shapefil": 57, "save_graph_geopackag": 57, "save_graphml": 57, "448": [57, 60, 211], "plot_osmnx": [57, 60], "nearest": [58, 240, 664, 1217, 1231, 1239, 1247, 1434], "knn3": 58, "knn": 58, "meter": 58, "band": 58, "pair": [58, 89, 103, 113, 116, 128, 133, 145, 185, 211, 215, 216, 221, 223, 224, 229, 230, 231, 232, 233, 238, 239, 243, 246, 247, 248, 258, 265, 290, 297, 298, 299, 301, 307, 308, 313, 316, 317, 331, 332, 373, 374, 376, 379, 385, 386, 398, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 431, 442, 472, 475, 482, 487, 488, 489, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 527, 528, 536, 537, 538, 546, 557, 561, 562, 567, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 586, 587, 589, 617, 630, 631, 632, 640, 648, 651, 661, 662, 666, 669, 673, 674, 675, 676, 678, 681, 688, 696, 702, 703, 705, 741, 753, 755, 760, 791, 798, 852, 875, 897, 918, 933, 936, 957, 965, 979, 982, 1001, 1005, 1023, 1040, 1042, 1043, 1074, 1088, 1089, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1150, 1155, 1156, 1162, 1179, 1197, 1200, 1205, 1228, 1326, 1327, 1330, 1332, 1336, 1402, 1404, 1406, 1411, 1413, 1415, 1420, 1436], "distanceband": 58, "from_arrai": 58, "Then": [58, 59, 94, 102, 112, 142, 218, 233, 323, 375, 414, 433, 498, 503, 506, 507, 510, 621, 793, 1045, 1115, 1222, 1231, 1239, 1247, 1278, 1284, 1285, 1302], "knn_graph": 58, "dist_graph": 58, "plot_point": [58, 60], "focu": [59, 95, 108, 110, 1332, 1414], "constructor": [59, 103, 352, 353, 525, 590, 1044, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1246, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1418], "web": [59, 69, 94, 95, 100, 107, 113, 336, 337, 478, 479, 480, 492, 496, 521, 566, 568, 570, 574, 620, 700, 701, 750, 752, 1185, 1199, 1206, 1277, 1329, 1415, 1422], "increasingli": [59, 514], "nuts1": 59, "european_region": 59, "region": [59, 446, 1292, 1403], "boundari": [59, 72, 292, 293, 443, 448, 760, 1140, 1142, 1219, 1221, 1331], "applic": [59, 98, 103, 110, 111, 211, 275, 300, 314, 347, 360, 381, 453, 496, 500, 501, 512, 579, 621, 633, 673, 674, 675, 676, 705, 731, 733, 754, 760, 788, 1183, 1210, 1288, 1391, 1436], "consid": [59, 93, 94, 95, 100, 103, 104, 108, 133, 145, 215, 216, 231, 232, 283, 295, 298, 299, 304, 307, 308, 311, 312, 313, 316, 317, 324, 325, 326, 328, 331, 332, 337, 340, 382, 389, 391, 392, 418, 431, 438, 462, 466, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 522, 523, 527, 537, 547, 557, 563, 564, 565, 574, 576, 577, 588, 600, 602, 606, 673, 674, 675, 676, 677, 678, 680, 681, 682, 689, 690, 691, 692, 693, 762, 764, 777, 793, 1046, 1118, 1123, 1132, 1141, 1181, 1275, 1284, 1285, 1335, 1407, 1408, 1415, 1436], "moor": [59, 385, 387, 1257, 1418], "nine": [59, 1329], "surround": [59, 93, 100, 103, 788, 1422], "pygeo": [59, 1422], "geo": 59, "touch": 59, "extens": [59, 94, 98, 104, 110, 327, 777, 798, 1040, 1042, 1043, 1363, 1390, 1391, 1422], "627": [59, 60], "plot_polygon": [59, 60], "483": 60, "auto_examples_geospati": 60, "04": [60, 73, 327], "dag": [61, 73, 87, 133, 134, 452, 456, 459, 460, 461, 462, 465, 466, 467, 468, 470, 471, 577, 579, 767, 1404, 1410, 1415, 1416, 1420, 1421, 1422, 1434], "topolog": [61, 68, 73, 87, 106, 129, 314, 331, 398, 440, 457, 459, 460, 466, 467, 468, 470, 1407, 1410, 1413, 1415, 1423, 1434], "sequenc": [61, 73, 81, 87, 102, 103, 108, 181, 270, 272, 274, 275, 277, 365, 366, 367, 376, 388, 490, 514, 515, 516, 517, 518, 519, 520, 551, 552, 553, 627, 673, 674, 675, 676, 680, 681, 695, 704, 730, 731, 733, 760, 793, 873, 916, 954, 998, 1105, 1127, 1128, 1129, 1139, 1140, 1141, 1142, 1143, 1150, 1171, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1205, 1212, 1213, 1214, 1224, 1228, 1243, 1244, 1278, 1279, 1303, 1317, 1321, 1322, 1331, 1407, 1415, 1416, 1422], "renyi": [61, 73, 87, 595, 1407, 1415], "expect": [61, 62, 73, 84, 87, 101, 104, 106, 110, 276, 281, 431, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 673, 674, 675, 676, 688, 729, 1041, 1046, 1088, 1181, 1183, 1185, 1236, 1241, 1242, 1293, 1302, 1325, 1329, 1334, 1407, 1413, 1414, 1415, 1422, 1423], "footbal": [61, 73, 87, 1415], "karat": [61, 73, 87, 1273, 1407, 1415, 1423], "mors": [61, 73, 87, 1430], "trie": [61, 73, 87, 1278], "napoleon": [61, 73, 87, 1415, 1422], "russian": [61, 73, 87, 1415], "campaign": [61, 73, 87, 1415], "roget": [61, 73, 87, 1415], "triad": [61, 73, 87, 361, 746, 748, 749, 750, 751, 752, 760, 1280, 1331, 1404, 1434], "word": [61, 70, 73, 87, 93, 236, 462, 514, 567, 703, 791, 1139, 1141, 1332, 1414, 1422, 1434], "ladder": [61, 73, 87, 1155, 1162], "topological_gener": [62, 68, 760, 1422], "numer": [62, 89, 111, 152, 167, 176, 189, 199, 210, 212, 213, 240, 241, 242, 243, 244, 245, 248, 249, 253, 284, 327, 357, 358, 380, 382, 383, 385, 386, 387, 455, 558, 559, 560, 583, 595, 628, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 855, 865, 871, 879, 888, 900, 910, 926, 946, 952, 961, 970, 992, 1009, 1103, 1104, 1105, 1106, 1108, 1111, 1118, 1120, 1139, 1141, 1143, 1293, 1294, 1301, 1302, 1332, 1344, 1346, 1364, 1402, 1403, 1408, 1411, 1413, 1415, 1416, 1418, 1422, 1423, 1425, 1428, 1436], "plot_dag_layout": [62, 73], "668273": 63, "is_graph": [63, 760, 1181, 1187], "configuration_model": [63, 276, 1183, 1184, 1187], "plot_degree_sequ": [63, 73], "report": [64, 89, 92, 94, 97, 101, 103, 113, 129, 167, 169, 176, 177, 181, 185, 189, 190, 298, 299, 348, 349, 354, 382, 388, 440, 452, 700, 701, 706, 719, 720, 736, 738, 865, 867, 871, 872, 873, 875, 879, 880, 910, 912, 916, 918, 946, 948, 952, 953, 954, 957, 961, 962, 992, 994, 998, 1001, 1041, 1045, 1127, 1175, 1176, 1177, 1302, 1331, 1411, 1413, 1415, 1416, 1422, 1434, 1436], "erd\u0151": [64, 276, 516, 519, 695, 1202, 1203, 1204, 1230, 1234, 1236, 1238, 1241, 1407, 1415], "r\u00e9nyi": [64, 276, 1202, 1203, 1204, 1230, 1234, 1236, 1238, 1241, 1415], "binomial_graph": [64, 84, 1234, 1238, 1332, 1415], "3333333333333333": [64, 322, 1109], "16666666666666666": 64, "20160": 64, "093": [64, 73], "plot_erdos_renyi": [64, 73], "21": [65, 66, 67, 70, 242, 249, 348, 1088, 1256, 1411, 1415, 1423, 1427], "23": [65, 67, 97, 102, 111, 316, 317, 318, 332, 348, 385, 386, 429, 430, 518, 705, 1331, 1406, 1412], "26": [65, 67, 69, 327, 348, 385, 386, 496, 579, 705, 764, 1203, 1301, 1412], "27": [65, 67, 69, 103, 227, 236, 267, 302, 303, 309, 310, 328, 348, 360, 385, 386, 437, 438, 455, 705, 1264, 1301, 1342, 1412], "28": [65, 67, 69, 221, 227, 327, 348, 349, 385, 386, 429, 503, 521, 705, 1043, 1112, 1208, 1410, 1412, 1423], "35": [65, 69, 298, 690, 1119, 1179, 1261, 1277, 1412], "39": [65, 302, 303, 309, 310, 325, 326, 343, 1277], "44": [65, 1277], "48": [65, 261, 262, 263, 290, 1206, 1207, 1329, 1425], "49": [65, 379, 407, 408, 608], "51": [65, 301, 424, 616, 1277], "52": [65, 1277, 1426], "53": [65, 69, 521, 1277], "54": [65, 69, 302, 303, 309, 310, 1192, 1277, 1329, 1350], "55": [65, 69, 314, 1150], "56": [65, 1150, 1277], "58": [65, 1187, 1418], "59": 65, "60": [65, 312, 313, 325, 326, 496, 1277], "61": [65, 521], "62": 65, "64": [65, 285, 328, 334, 335, 750, 1183], "65": [65, 94, 228, 1240], "67": [65, 237, 242, 245, 249, 510, 516, 1420], "expected_degree_graph": [65, 1241, 1417], "dh": [65, 590], "degree_histogram": [65, 1422], "041": [65, 73], "plot_expected_degree_sequ": [65, 73], "gml": [66, 96, 1331, 1332, 1351, 1353, 1354, 1355, 1356, 1392, 1404, 1407, 1415, 1416, 1419, 1420, 1421, 1422, 1423, 1434, 1436], "statistc": 66, "unpack": [66, 102, 112, 193, 690, 883, 922, 965, 1005, 1402, 1417, 1436], "internet": [66, 85, 93, 94, 211, 321, 437, 438, 1208, 1329, 1420], "person": [66, 93, 94, 95, 98, 239, 567, 568, 690, 1263, 1272, 1416], "umich": 66, "mejn": 66, "netdata": 66, "american": [66, 221, 312, 313, 429, 446, 689, 691], "ia": 66, "colleg": 66, "dure": [66, 75, 94, 98, 100, 153, 158, 159, 196, 331, 347, 348, 349, 496, 527, 537, 557, 616, 642, 673, 674, 675, 676, 705, 706, 719, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1120, 1171, 1421, 1422], "season": 66, "fall": 66, "girvan": [66, 376, 1416], "newman": [66, 111, 215, 216, 217, 221, 237, 242, 245, 249, 285, 302, 303, 309, 310, 312, 313, 325, 326, 328, 376, 385, 387, 627, 1181, 1183, 1228, 1239, 1275, 1293, 1294, 1298, 1390, 1404, 1416, 1418, 1420], "confer": [66, 111, 133, 316, 323, 332, 347, 348, 349, 428, 446, 570, 574, 576, 592, 595, 672, 673, 674, 675, 676, 677, 678, 692, 734, 1046, 1292, 1425], "belong": [66, 95, 98, 115, 116, 207, 216, 217, 241, 250, 270, 271, 272, 273, 274, 275, 276, 277, 294, 316, 317, 318, 319, 320, 375, 389, 391, 393, 429, 439, 467, 493, 570, 574, 576, 617, 1273, 1277, 1329], "atlant": 66, "coast": 66, "big": [66, 89, 101, 103, 323, 1411], "east": 66, "ten": [66, 502], "twelv": 66, "usa": [66, 111, 133, 312, 313, 325, 326, 570, 574, 734, 1206, 1207, 1245, 1294, 1298, 1326, 1327, 1329], "mid": [66, 1208], "mountain": 66, "west": [66, 111, 620, 621], "pacif": 66, "southeastern": 66, "sun": 66, "belt": 66, "western": [66, 1434], "athlet": 66, "biolog": [66, 111, 1329], "proc": [66, 297, 302, 303, 304, 309, 310, 324, 686, 693, 1201, 1206, 1207, 1213, 1214, 1294, 1298, 1326, 1327, 1329], "natl": [66, 793, 1294, 1298], "acad": [66, 1206, 1207, 1294, 1298, 1329], "sci": [66, 339, 382, 571, 1206, 1207, 1294, 1298, 1329], "7821": 66, "7826": 66, "correct": [66, 68, 93, 94, 101, 102, 103, 110, 116, 158, 159, 162, 205, 261, 312, 617, 858, 859, 893, 901, 903, 904, 939, 940, 975, 985, 986, 1223, 1410, 1413, 1415, 1416, 1417, 1420, 1421, 1422, 1425, 1426, 1428, 1430], "erron": 66, "duplic": [66, 153, 159, 462, 588, 611, 751, 856, 859, 901, 904, 937, 940, 983, 986, 1156, 1158, 1163, 1165, 1166, 1169, 1179, 1181, 1183, 1193, 1194, 1228, 1308, 1331, 1332, 1404, 1415, 1416, 1421, 1434], "sep": [66, 348, 349, 608], "2014": [66, 211, 312, 313, 317, 321, 336, 337, 358, 547, 608, 763, 1286, 1296, 1411, 1415], "brighamyoung": 66, "floridast": 66, "iowa": 66, "kansasst": 66, "newmexico": 66, "texastech": 66, "pennstat": 66, "southerncalifornia": 66, "arizonast": 66, "sandiegost": 66, "baylor": 66, "northtexa": 66, "northernillinoi": 66, "northwestern": 66, "westernmichigan": 66, "wisconsin": [66, 92], "wyom": 66, "auburn": 66, "akron": 66, "virginiatech": 66, "alabama": 66, "ucla": 66, "arizona": 66, "utah": 66, "arkansasst": 66, "northcarolinast": 66, "ballstat": 66, "florida": 66, "boisest": 66, "bostoncolleg": 66, "westvirginia": 66, "bowlinggreenst": 66, "michigan": 66, "virginia": [66, 336, 337], "buffalo": 66, "syracus": 66, "centralflorida": 66, "georgiatech": 66, "centralmichigan": 66, "purdu": [66, 444, 449, 450], "colorado": 66, "coloradost": 66, "connecticut": 66, "easternmichigan": 66, "eastcarolina": 66, "duke": 66, "fresnost": 66, "ohiost": 66, "houston": 66, "rice": 66, "idaho": 66, "washington": [66, 1046], "kansa": 66, "southernmethodist": 66, "kent": 66, "pittsburgh": [66, 229], "kentucki": 66, "louisvil": 66, "louisianatech": 66, "louisianamonro": 66, "minnesota": 66, "miamiohio": 66, "vanderbilt": 66, "middletennesseest": 66, "illinoi": 66, "mississippist": 66, "memphi": 66, "nevada": 66, "oregon": 66, "newmexicost": 66, "southcarolina": 66, "ohio": 66, "iowast": 66, "sanjosest": 66, "nebraska": 66, "southernmississippi": 66, "tennesse": 66, "washingtonst": 66, "templ": 66, "navi": 66, "texasa": 66, "notredam": 66, "texaselpaso": 66, "oklahoma": 66, "toledo": 66, "tulan": 66, "mississippi": 66, "tulsa": 66, "northcarolina": 66, "utahst": 66, "armi": [66, 92], "cincinnati": 66, "airforc": 66, "rutger": 66, "georgia": 66, "louisianast": 66, "louisianalafayett": 66, "texa": [66, 354], "marshal": 66, "michiganst": 66, "miamiflorida": 66, "missouri": 66, "clemson": 66, "nevadalasvega": 66, "wakeforest": 66, "indiana": 66, "oklahomast": 66, "oregonst": 66, "maryland": 66, "texaschristian": 66, "california": [66, 92], "alabamabirmingham": 66, "arkansa": 66, "hawaii": 66, "urllib": [66, 1422], "sock": 66, "urlopen": 66, "throw": [66, 95, 1415], "awai": [66, 95, 340, 1120, 1420], "bogu": 66, "parse_gml": [66, 1355, 1392], "team": [66, 92, 94, 101, 106, 108, 109, 1421, 1423], "1969": [66, 451, 1326, 1327, 1416], "402": [66, 73], "plot_footbal": [66, 73], "zachari": [67, 1273, 1416, 1417, 1421], "vlado": [67, 751, 1379, 1381, 1382, 1397], "fmf": [67, 751, 1379, 1381, 1382, 1397], "uni": [67, 414, 751, 1379, 1381, 1382, 1397], "lj": [67, 751, 1379, 1381, 1382, 1397], "si": [67, 92, 94, 751, 1379, 1381, 1382, 1397, 1419, 1420], "pub": [67, 316, 332, 496, 568, 620, 751, 1379, 1381, 1382, 1397], "ucinet": 67, "ucidata": 67, "htm": [67, 316, 317, 318, 332, 690, 1379, 1381, 1382, 1397], "1977": [67, 298, 1273, 1416], "conflict": [67, 93, 94, 95, 1273, 1416, 1417], "fission": [67, 1273], "anthropolog": [67, 1273], "research": [67, 92, 113, 221, 228, 229, 382, 446, 513, 514, 722, 1273], "452": [67, 250, 1273], "473": [67, 1273], "karate_club_graph": [67, 89, 348, 385, 386, 502, 595, 705, 1275, 1423], "draw_circular": [67, 70, 1436], "plot_karate_club": [67, 73], "aka": 68, "alphabet": [68, 466, 1430], "letter": [68, 71, 72, 93, 227, 328, 340, 359, 407, 408, 457, 487, 488, 489, 626, 627, 750, 1222, 1228, 1235, 1239, 1278, 1332], "trace": [68, 237], "symbol": [68, 777, 1139, 1143, 1405, 1415], "encount": [68, 133, 205, 207, 893, 1041, 1387, 1388], "unicod": [68, 1353, 1415], "charact": [68, 268, 269, 1274, 1280, 1301, 1337, 1340, 1342, 1343, 1344, 1345, 1346, 1351, 1353, 1354, 1355, 1356, 1357, 1359, 1360, 1385, 1387, 1388, 1390, 1398, 1423], "dot": [68, 76, 77, 78, 261, 262, 263, 620, 1122, 1123, 1124, 1126, 1131, 1132, 1133, 1135, 1306, 1331, 1332, 1436], "dit": 68, "dah": 68, "morse_direct_map": 68, "q": [68, 97, 103, 301, 327, 337, 382, 387, 498, 510, 590, 627, 1194, 1198, 1201, 1235, 1308, 1423], "preprocess": [68, 455, 751], "morse_mapping_sort": 68, "lambda": [68, 233, 312, 313, 314, 325, 326, 333, 376, 466, 590, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 1188, 1199, 1203, 1204, 1205, 1301, 1302, 1413], "simplifi": [68, 103, 690, 1407, 1408, 1415, 1416, 1418, 1421, 1422, 1424], "lookup": [68, 72, 167, 169, 176, 177, 185, 189, 190, 798, 865, 867, 871, 872, 875, 879, 880, 910, 912, 918, 946, 948, 952, 953, 957, 962, 992, 994, 1001, 1040, 1042, 1043, 1308, 1332, 1413, 1416], "reverse_map": 68, "char": 68, "pred": [68, 208, 569, 570, 571, 572, 573, 574, 575, 576, 642, 654, 658, 660, 708, 715, 894, 930, 976, 1013, 1022, 1023, 1024, 1025, 1332, 1413, 1418, 1425], "align": [68, 95, 1109, 1112, 1140, 1142, 1205, 1288], "horizont": [68, 1109, 1112, 1140, 1142, 1221], "flip": [68, 638, 703, 1416, 1426], "elabel": 68, "morse_encod": 68, "predecessor": [68, 174, 182, 191, 202, 208, 241, 283, 389, 391, 392, 396, 503, 632, 633, 654, 658, 660, 678, 689, 708, 715, 874, 881, 891, 894, 930, 955, 963, 973, 976, 1013, 1058, 1195, 1278, 1332, 1413, 1415, 1416, 1418, 1425, 1436], "verifi": [68, 162, 285, 286, 287, 288, 289, 294, 387, 555, 768, 779, 1422, 1434], "ascii_lowercas": [68, 72, 1301], "join": [68, 101, 121, 186, 293, 340, 345, 352, 353, 385, 386, 445, 473, 474, 475, 476, 477, 522, 523, 586, 587, 589, 590, 603, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 690, 691, 694, 699, 702, 703, 731, 733, 791, 876, 919, 958, 1002, 1101, 1104, 1152, 1155, 1163, 1170, 1171, 1180, 1181, 1194, 1196, 1199, 1201, 1202, 1203, 1204, 1205, 1215, 1216, 1219, 1221, 1223, 1231, 1239, 1247, 1257, 1302, 1304, 1332, 1347, 1351, 1361, 1362, 1420], "ltr": 68, "ilovenetworkx": 68, "292": [68, 73, 519, 520], "plot_morse_tri": [68, 73], "minard": [69, 1415], "1812": 69, "1813": 69, "archiv": [69, 94, 100, 113, 382, 496, 673, 674, 675, 676, 722, 750, 752, 793, 1391, 1422], "20080112042656": 69, "yorku": 69, "ca": [69, 111, 133, 518, 734, 762, 1245], "sc": [69, 101, 334, 335, 347], "minard_graph": 69, "data1": [69, 1369], "340000": 69, "320000": 69, "300000": 69, "280000": 69, "240000": 69, "210000": 69, "180000": 69, "175000": 69, "145000": 69, "140000": 69, "127100": 69, "100000": 69, "98000": 69, "97000": 69, "96000": 69, "87000": 69, "55000": 69, "37000": 69, "24000": 69, "12000": 69, "14000": 69, "4000": [69, 1421], "data2": [69, 1369], "60000": 69, "40000": 69, "33000": 69, "30000": 69, "28000": 69, "data3": 69, "22000": 69, "6000": [69, 1434], "kowno": 69, "wilna": 69, "smorgoni": 69, "moiodexno": 69, "glouboko": 69, "minsk": 69, "studienska": 69, "polotzk": 69, "bobr": 69, "witebsk": 69, "orscha": 69, "mohilow": 69, "smolensk": 69, "dorogoboug": 69, "wixma": 69, "chjat": 69, "mojaisk": 69, "moscou": 69, "tarantino": 69, "malo": 69, "jarosewii": 69, "194": [69, 73, 327], "plot_napoleon_russian_campaign": [69, 73], "1022": 70, "5075": [70, 359], "refer": [70, 71, 97, 98, 102, 110, 112, 116, 129, 154, 155, 166, 168, 203, 205, 210, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 227, 228, 229, 236, 237, 240, 241, 242, 245, 249, 250, 258, 259, 260, 261, 262, 263, 264, 275, 276, 279, 281, 283, 284, 285, 287, 289, 290, 291, 294, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 344, 345, 347, 348, 349, 354, 357, 358, 359, 360, 363, 364, 373, 374, 375, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 396, 407, 408, 411, 412, 413, 414, 415, 416, 417, 419, 425, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 444, 446, 447, 448, 449, 450, 451, 453, 454, 455, 457, 459, 464, 466, 468, 469, 471, 478, 479, 480, 481, 483, 484, 485, 486, 487, 488, 489, 490, 492, 496, 500, 502, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 547, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 583, 590, 592, 593, 594, 595, 608, 610, 613, 616, 618, 620, 621, 626, 627, 672, 673, 674, 675, 676, 677, 678, 679, 680, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 697, 698, 700, 701, 706, 712, 721, 722, 731, 733, 734, 735, 740, 750, 751, 752, 753, 754, 760, 864, 866, 892, 893, 909, 911, 928, 929, 945, 947, 974, 975, 991, 993, 1011, 1012, 1046, 1048, 1108, 1149, 1150, 1161, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1222, 1223, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1241, 1245, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1277, 1278, 1286, 1288, 1289, 1290, 1292, 1293, 1294, 1296, 1298, 1308, 1325, 1326, 1327, 1332, 1347, 1348, 1350, 1353, 1357, 1358, 1359, 1360, 1367, 1368, 1373, 1374, 1379, 1381, 1382, 1383, 1384, 1385, 1386, 1391, 1402, 1403, 1415, 1417, 1418, 1420, 1422, 1425, 1426, 1428, 1436], "1879": 70, "thesauru": 70, "cf": 70, "400pungenc": 70, "400": [70, 1308], "401": 70, "403": [70, 1422], "405": [70, 1179], "roget_dat": 70, "sy": [70, 90, 1388, 1421], "roget_graph": 70, "dat": 70, "oldlin": 70, "endswith": 70, "buffer": 70, "goto": 70, "headnam": 70, "tail": [70, 85, 102, 236, 429, 430, 452, 502, 719, 720, 1140, 1223, 1288], "head": [70, 85, 94, 102, 236, 452, 719, 720, 1139, 1140, 1141, 1223, 1288, 1359, 1360, 1385, 1386], "findal": 70, "stderr": 70, "ug": 70, "number_connected_compon": [70, 72, 81, 85, 405, 406], "319": [70, 73, 314], "plot_roget": [70, 73], "paper": [71, 94, 215, 216, 217, 221, 312, 313, 323, 327, 333, 344, 354, 412, 413, 415, 416, 417, 419, 432, 439, 485, 496, 513, 514, 672, 678, 692, 1208, 1245, 1422], "snijder": [71, 750, 752], "2012": [71, 218, 315, 327, 329, 359, 428, 510, 750, 752, 1215, 1409, 1415], "univers": [71, 92, 103, 106, 108, 111, 113, 133, 300, 312, 313, 325, 326, 328, 354, 377, 379, 385, 387, 453, 496, 590, 621, 677, 690, 750, 751, 752, 762, 1046, 1149, 1150, 1198, 1201, 1211, 1235, 1271, 1275], "oxford": [71, 111, 312, 313, 325, 326, 379, 385, 387, 750, 752, 1149, 1150, 1202, 1275], "triadic": [71, 751, 1404, 1415, 1421, 1426], "especi": [71, 93, 95, 106, 110, 165, 1105, 1404, 1417], "mutual": [71, 102, 306, 398, 690, 691, 750], "asymmetr": [71, 113, 228, 750, 1423], "null": [71, 312, 313, 327, 470, 577, 579, 627, 635, 750, 798, 1040, 1042, 1043, 1046, 1071, 1149, 1150, 1157, 1164, 1248, 1279, 1413], "dyad": [71, 389, 391, 392], "bidirect": [71, 655, 1208, 1415, 1423], "unidirect": [71, 1361, 1362, 1363, 1364, 1391], "nonedg": [71, 1105, 1106], "down": [71, 93, 221, 231, 376, 750, 1168, 1221, 1332, 1420, 1422], "cyclic": [71, 452, 454, 455, 618, 750, 1158, 1319, 1418, 1420], "003": [71, 84, 751, 752, 1280], "012": [71, 751, 752, 1280], "021d": [71, 750, 751, 752, 1280], "021u": [71, 750, 751, 752, 1280], "021c": [71, 751, 752, 1280], "111d": [71, 750, 751, 752, 1280], "111u": [71, 751, 752, 1280], "030t": [71, 751, 752, 1280], "030c": [71, 750, 751, 752, 1280], "201": [71, 300, 316, 317, 318, 332, 751, 752, 1280], "120d": [71, 751, 752, 1280], "120u": [71, 751, 752, 1280], "120c": [71, 750, 751, 752, 1280], "210": [71, 750, 751, 752, 1280], "flatten": [71, 1048, 1049, 1422], "planar_layout": [71, 1144, 1421], "set_xlim": 71, "val": 71, "set_ylim": 71, "get_ylim": 71, "extra": [71, 94, 103, 215, 325, 326, 504, 505, 508, 509, 665, 798, 966, 1006, 1040, 1042, 1043, 1122, 1123, 1224, 1240, 1415, 1421, 1423, 1425], "boxstyl": [71, 1140], "pad": [71, 278, 469, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 736, 738, 1143], "076": [71, 73], "plot_triad_typ": [71, 73], "5757": [72, 1434], "words_dat": 72, "135": 72, "five": [72, 102, 133, 482, 734, 1257, 1369, 1370, 1425], "english": [72, 93], "14135": 72, "853": 72, "chao": [72, 298], "choo": 72, "shoo": 72, "shoe": 72, "sho": 72, "shred": 72, "sire": 72, "side": [72, 100, 257, 316, 317, 327, 328, 331, 332, 379, 429, 1045, 1154, 1201, 1221, 1302, 1421], "adder": 72, "odder": 72, "lode": 72, "lore": 72, "lord": 72, "goad": 72, "grad": 72, "grape": 72, "pound": 72, "mark": [72, 94, 100, 215, 216, 217, 221, 312, 313, 325, 326, 328, 387, 496, 1041, 1304, 1390, 1420], "lowercas": [72, 1332], "generate_graph": 72, "index": [72, 100, 107, 111, 239, 244, 287, 314, 325, 326, 393, 519, 547, 569, 574, 575, 631, 672, 753, 755, 760, 763, 1050, 1062, 1111, 1136, 1139, 1140, 1141, 1142, 1143, 1149, 1150, 1181, 1183, 1184, 1185, 1187, 1228, 1302, 1303, 1305, 1306, 1307, 1331, 1367, 1368, 1414, 1415, 1421, 1422, 1423, 1426, 1434], "edit_distance_on": 72, "candgen": 72, "cand": 72, "words_graph": 72, "networkxnopath": [72, 420, 421, 472, 628, 629, 634, 638, 641, 652, 653, 655, 656, 657, 682, 1046, 1084, 1331, 1406], "node_boundari": [72, 760, 1415], "1500": 72, "font_weight": [72, 1139, 1140, 1142, 1436], "535": [72, 73, 1407, 1415], "plot_word": [72, 73], "382": 73, "auto_examples_graph": 73, "nx_agraph": [74, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 1044, 1045, 1121, 1122, 1123, 1125, 1405, 1415, 1421, 1431, 1436], "pygraphviz": [74, 75, 76, 77, 80, 81, 82, 84, 85, 87, 94, 112, 617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1045, 1100, 1121, 1125, 1332, 1415, 1421, 1422, 1423, 1430, 1434, 1436], "convers": [74, 75, 79, 87, 94, 482, 1342, 1407, 1414, 1415, 1417, 1422, 1423, 1428, 1430], "2d": [74, 79, 87, 567, 617, 631, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1100, 1101, 1147, 1200, 1202, 1203, 1204, 1284, 1411, 1423], "atla": [74, 79, 80, 86, 87, 1149, 1150, 1331, 1415, 1416, 1422], "handl": [75, 93, 103, 108, 166, 253, 254, 256, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 417, 419, 420, 421, 425, 469, 654, 660, 764, 864, 909, 936, 945, 982, 991, 1097, 1105, 1106, 1124, 1126, 1129, 1133, 1135, 1302, 1303, 1306, 1339, 1340, 1349, 1356, 1377, 1378, 1387, 1388, 1397, 1402, 1404, 1407, 1408, 1410, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1425], "agraph": [75, 76, 77, 1100, 1121, 1331, 1422], "to_agraph": [75, 76, 77, 78, 1045, 1121, 1415, 1416], "graphviz": [75, 76, 77, 78, 81, 82, 84, 85, 108, 112, 1121, 1122, 1123, 1126, 1131, 1132, 1135, 1331, 1332, 1407, 1415, 1422, 1436], "prog": [75, 76, 77, 78, 81, 82, 83, 85, 1122, 1123, 1131, 1132], "neato": [75, 76, 77, 78, 81, 83, 1122, 1123, 1131, 1132, 1332], "dictionari": [75, 85, 89, 102, 116, 145, 152, 153, 157, 158, 159, 161, 171, 185, 196, 215, 221, 238, 239, 240, 241, 243, 244, 246, 252, 253, 258, 259, 260, 262, 263, 265, 266, 267, 268, 269, 278, 279, 281, 282, 290, 291, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 338, 343, 348, 352, 358, 359, 360, 362, 363, 364, 371, 373, 374, 393, 410, 414, 418, 419, 420, 421, 424, 429, 433, 434, 435, 436, 437, 438, 440, 442, 462, 472, 473, 474, 475, 476, 477, 498, 499, 503, 504, 506, 510, 513, 514, 527, 537, 557, 566, 567, 568, 580, 581, 582, 590, 623, 627, 628, 629, 630, 632, 633, 634, 635, 637, 638, 639, 640, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 682, 689, 690, 715, 717, 751, 752, 753, 754, 798, 851, 855, 856, 857, 858, 859, 861, 868, 875, 886, 896, 900, 901, 902, 903, 904, 906, 913, 918, 925, 932, 936, 937, 938, 939, 940, 942, 949, 957, 968, 978, 982, 983, 984, 985, 986, 988, 995, 1001, 1008, 1040, 1041, 1042, 1043, 1048, 1067, 1068, 1088, 1089, 1094, 1095, 1097, 1098, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1199, 1202, 1203, 1204, 1213, 1214, 1215, 1216, 1287, 1301, 1308, 1309, 1312, 1316, 1323, 1324, 1330, 1331, 1332, 1336, 1341, 1342, 1343, 1345, 1354, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1402, 1403, 1411, 1413, 1416, 1417, 1422, 1423, 1434, 1436], "from_agraph": [75, 76, 1045, 1125], "145": [75, 79, 298, 299, 307, 308, 316, 683, 1185], "plot_attribut": [75, 79], "x1": [76, 628], "x2": [76, 628], "fanci": [76, 103, 1425], "k5": [76, 378, 1121, 1125, 1130, 1134, 1222], "x3": 76, "read_dot": 76, "dotfil": 76, "035": [76, 79, 215, 216, 217, 221], "plot_convers": [76, 79], "write_dot": [77, 1405, 1415, 1436], "conjunct": [77, 613, 1369, 1370], "command": [77, 94, 98, 100, 112, 196, 886, 925, 968, 1008, 1045, 1132, 1436], "further": [77, 97, 102, 106, 216, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 385, 956, 1000, 1066, 1119, 1335, 1434, 1436], "invok": [77, 96, 329, 462, 754], "disk": [77, 317], "tp": 77, "083": [77, 79], "plot_grid": [77, 79], "gn": [78, 1188, 1329, 1415], "todo": [78, 97], "g0": [78, 84, 85, 603, 606], "g4": 78, "g5": 78, "g6": 78, "g7": 78, "g8": 78, "g9": 78, "g10": 78, "g11": 78, "g12": 78, "g13": 78, "g14": 78, "g15": 78, "g16": 78, "g17": 78, "g18": 78, "g19": 78, "graph_atlas_g": [78, 81, 1149], "node_attr": [78, 513, 514, 1121, 1284, 1285], "fill": [78, 235, 557, 1152, 1163, 1174, 1211, 1413], "20th": 78, "a20": 78, "105": [78, 79, 519, 520, 1172, 1173], "plot_mini_atla": [78, 79], "369": [79, 1261], "auto_examples_graphviz_draw": 79, "decomposit": [80, 86, 87, 113, 129, 234, 235, 294, 334, 340, 373, 427, 434, 435, 437, 438, 440, 760, 1416, 1418, 1420, 1426], "giant": [80, 86, 87, 1199, 1415, 1422], "lanl": [80, 86, 87, 111, 1402, 1403, 1406, 1407, 1408, 1409, 1415], "142": 81, "don": [81, 94, 95, 98, 100, 108, 110, 116, 169, 177, 185, 190, 239, 244, 289, 329, 385, 455, 499, 867, 872, 875, 880, 912, 918, 948, 953, 957, 962, 994, 1001, 1087, 1120, 1219, 1221, 1410, 1412, 1415, 1416, 1420, 1421, 1422, 1425], "nor": [81, 102, 111, 116, 306, 429, 627, 637, 638, 673, 674, 675, 676, 678, 702, 750, 1332], "oei": 81, "a001349": 81, "g208": 81, "809": 81, "1112": 81, "graphmatch": [81, 529, 764], "isomorph": [81, 97, 146, 147, 149, 150, 513, 514, 527, 530, 531, 532, 534, 535, 536, 537, 540, 541, 542, 544, 545, 546, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 673, 674, 675, 676, 730, 732, 756, 760, 763, 782, 1262, 1315, 1331, 1332, 1415, 1420, 1421, 1422, 1423, 1434], "vf2userfunc": 81, "atlas6": 81, "209": [81, 1199], "208": [81, 113], "union": [81, 96, 377, 378, 462, 596, 597, 599, 600, 602, 603, 736, 738, 760, 774, 1022, 1023, 1024, 1025, 1170, 1180, 1222, 1329, 1332, 1401, 1409, 1413, 1415, 1417, 1421, 1422, 1423, 1432, 1434], "previou": [81, 107, 230, 323, 340, 364, 467, 514, 675, 695, 762, 793, 1088, 1117, 1190, 1402, 1408, 1413, 1416, 1422, 1434], "subgraph_is_isomorph": 81, "disjoint_union": [81, 600, 603, 606, 760, 1432, 1434], "graphviz_layout": [81, 82, 83, 84, 85, 1123, 1415, 1436], "vmin": [81, 1139, 1143], "vmax": [81, 1139, 1143], "178": [81, 86], "plot_atla": [81, 86], "balanced_tre": [82, 741, 1388], "twopi": [82, 85, 1122, 1123, 1131, 1132], "arg": [82, 103, 104, 425, 1046, 1050, 1122, 1123, 1302, 1303, 1306, 1307, 1417, 1421, 1431, 1434], "214": [82, 86, 214], "plot_circular_tre": [82, 86], "junction": [83, 734, 793], "bayesian": [83, 133, 344], "mg": [83, 103, 679, 798, 1040, 1042, 1088, 1429, 1436], "moral_graph": [83, 760, 1426], "moral": [83, 592, 734, 760, 1331, 1419, 1421, 1426], "jt": 83, "junction_tre": [83, 1421], "ax3": 83, "nsize": 83, "558": [83, 86], "plot_decomposit": [83, 86, 1422], "sudden": 84, "binomi": [84, 276, 1153, 1230, 1234, 1236, 1238, 1420], "log": [84, 90, 92, 94, 210, 212, 213, 220, 227, 228, 236, 281, 297, 302, 303, 309, 310, 431, 515, 562, 569, 661, 1308, 1412], "p_giant": 84, "becom": [84, 95, 101, 102, 103, 113, 181, 185, 231, 232, 424, 462, 586, 587, 589, 592, 694, 695, 696, 793, 873, 875, 916, 918, 954, 957, 998, 1001, 1041, 1064, 1217, 1413, 1416], "p_conn": 84, "pval": 84, "006": 84, "008": [84, 113], "ravel": 84, "gi": [84, 1406, 1415], "131": [84, 86], "plot_giant_compon": [84, 86], "1281": 85, "1296": 85, "lanl_graph": 85, "view": [85, 97, 99, 100, 108, 166, 167, 168, 169, 176, 177, 181, 185, 189, 190, 191, 197, 200, 201, 205, 693, 798, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 864, 865, 866, 867, 871, 872, 873, 875, 879, 880, 881, 887, 889, 890, 893, 909, 910, 911, 912, 916, 918, 927, 929, 945, 946, 947, 948, 952, 953, 954, 957, 961, 962, 969, 971, 975, 991, 992, 993, 994, 998, 1001, 1010, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1038, 1039, 1040, 1042, 1043, 1045, 1061, 1064, 1065, 1069, 1085, 1086, 1091, 1092, 1093, 1331, 1332, 1413, 1414, 1416, 1418, 1420, 1422, 1428, 1436], "lanl_rout": 85, "oserror": 85, "rtt": 85, "ping": 85, "g0time": 85, "radial": 85, "adjust": [85, 103, 375, 385, 1243, 1244, 1415, 1416, 1417, 1426], "xmax": 85, "xx": 85, "yy": 85, "ymax": 85, "453": [85, 86], "plot_lanl_rout": [85, 86], "533": [86, 297, 302, 303, 304, 309, 310, 324, 429, 430], "auto_examples_graphviz_layout": 86, "introductori": 87, "tutori": [87, 95, 101, 1203, 1330, 1332, 1416, 1417, 1421, 1422, 1423], "introduc": [87, 94, 102, 104, 133, 312, 313, 317, 318, 325, 326, 328, 621, 762, 793, 1261, 1329, 1411, 1414, 1419, 1421, 1425], "convent": [87, 94, 116, 338, 352, 389, 391, 392, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 504, 505, 508, 509, 511, 512, 617, 702, 742, 743, 744, 745, 793, 798, 1042, 1043, 1105, 1106, 1108, 1185, 1215, 1287, 1411, 1415, 1420], "manipul": [87, 111, 122, 389, 391, 392, 396, 790, 798, 1040, 1042, 1043, 1332, 1334, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "antigraph": [87, 88, 91, 221, 1416], "auto_examples_python": 87, "auto_examples_jupyt": 87, "complement": [89, 221, 282, 354, 424, 445, 603, 760, 1170, 1308, 1329, 1404], "dens": [89, 221, 291, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 630, 631, 632, 661, 760, 1232, 1395, 1398, 1403, 1414, 1415, 1422], "exist": [89, 94, 96, 98, 101, 103, 104, 105, 108, 110, 111, 115, 128, 152, 153, 154, 155, 159, 169, 171, 178, 182, 190, 191, 192, 195, 201, 202, 205, 212, 213, 214, 216, 217, 250, 257, 278, 279, 281, 282, 290, 343, 358, 360, 386, 389, 391, 392, 396, 424, 460, 466, 467, 468, 469, 473, 474, 475, 476, 477, 491, 493, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 514, 516, 520, 555, 565, 567, 569, 570, 571, 572, 573, 574, 575, 576, 584, 586, 598, 601, 604, 605, 617, 628, 629, 631, 638, 641, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 680, 682, 694, 695, 696, 764, 788, 798, 855, 856, 859, 867, 868, 874, 880, 881, 882, 885, 890, 891, 893, 900, 901, 904, 912, 913, 924, 937, 940, 948, 949, 955, 956, 962, 964, 967, 973, 975, 983, 986, 994, 995, 1000, 1007, 1040, 1042, 1043, 1046, 1073, 1074, 1075, 1079, 1084, 1097, 1160, 1183, 1192, 1209, 1229, 1231, 1233, 1235, 1239, 1247, 1276, 1332, 1361, 1364, 1387, 1388, 1404, 1406, 1411, 1412, 1413, 1415, 1416, 1423, 1426, 1436], "subclass": [89, 90, 103, 203, 204, 205, 206, 431, 498, 529, 539, 617, 764, 798, 892, 893, 928, 929, 936, 937, 974, 975, 982, 983, 1011, 1012, 1040, 1042, 1043, 1332, 1403, 1404, 1415, 1416, 1418, 1419, 1427, 1434], "biconnected_compon": [89, 389, 391, 396, 426, 429], "might": [89, 98, 102, 103, 104, 165, 166, 270, 272, 274, 277, 299, 300, 305, 308, 322, 330, 357, 428, 511, 585, 628, 629, 705, 793, 864, 909, 945, 991, 1045, 1105, 1106, 1136, 1213, 1223, 1302, 1332, 1402, 1434, 1436], "memori": [89, 102, 108, 166, 221, 297, 302, 303, 304, 309, 310, 324, 347, 348, 349, 522, 523, 798, 864, 909, 945, 991, 1040, 1042, 1043, 1105, 1284, 1407, 1408, 1415, 1416, 1417, 1418, 1422], "wa": [89, 92, 95, 100, 102, 103, 312, 313, 317, 318, 323, 325, 326, 328, 452, 459, 519, 520, 566, 568, 586, 587, 589, 694, 719, 720, 788, 1046, 1171, 1186, 1199, 1202, 1203, 1204, 1223, 1284, 1285, 1302, 1329, 1334, 1390, 1402, 1403, 1404, 1407, 1408, 1413, 1415, 1416, 1417, 1418, 1422, 1423, 1425, 1432, 1434, 1436], "instanc": [89, 94, 96, 98, 104, 270, 271, 272, 274, 275, 277, 284, 309, 344, 352, 353, 413, 414, 418, 419, 420, 421, 466, 496, 500, 501, 504, 505, 511, 512, 563, 564, 565, 590, 618, 619, 620, 621, 697, 698, 734, 1046, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1114, 1120, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1305, 1307, 1308, 1309, 1310, 1311, 1334, 1338, 1339, 1342, 1343, 1344, 1368, 1376, 1377, 1411, 1413, 1414, 1418, 1422, 1423, 1430, 1434], "all_edge_dict": [89, 798, 1040, 1042, 1043], "single_edge_dict": [89, 798, 1040, 1042, 1043], "edge_attr_dict_factori": [89, 798, 1040, 1042, 1043], "__getitem__": [89, 102, 108, 1434], "paramet": [89, 96, 103, 104, 133, 142, 143, 144, 145, 146, 149, 152, 153, 154, 155, 156, 157, 158, 159, 165, 166, 167, 168, 169, 171, 172, 173, 176, 177, 181, 182, 183, 184, 185, 186, 189, 190, 192, 193, 194, 195, 196, 197, 198, 199, 200, 202, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 537, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 798, 851, 852, 855, 856, 857, 858, 859, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 879, 880, 882, 883, 884, 885, 886, 887, 888, 889, 891, 893, 894, 896, 897, 900, 901, 902, 903, 904, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 922, 923, 924, 925, 926, 927, 929, 930, 932, 933, 936, 937, 938, 939, 940, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 961, 962, 964, 965, 966, 967, 968, 969, 970, 971, 973, 975, 976, 978, 979, 982, 983, 984, 985, 986, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1013, 1038, 1039, 1040, 1042, 1043, 1048, 1049, 1050, 1055, 1056, 1057, 1058, 1059, 1060, 1062, 1064, 1066, 1067, 1068, 1069, 1071, 1072, 1073, 1074, 1075, 1079, 1080, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1313, 1315, 1318, 1325, 1326, 1327, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1402, 1407, 1408, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1429, 1430, 1434], "adj_dict": [89, 851, 896, 932, 978], "keyerror": [89, 172, 733, 869, 914, 950, 996, 1421, 1422, 1432, 1434], "err": [89, 100, 1066, 1423], "networkxerror": [89, 102, 181, 182, 192, 193, 195, 202, 218, 228, 230, 231, 232, 233, 240, 241, 252, 257, 290, 301, 309, 312, 314, 318, 325, 326, 334, 335, 341, 342, 344, 373, 374, 379, 388, 420, 421, 431, 434, 435, 436, 437, 438, 439, 440, 456, 458, 463, 464, 466, 467, 468, 469, 471, 483, 484, 490, 492, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 577, 580, 593, 594, 595, 604, 607, 608, 609, 612, 613, 615, 631, 635, 659, 661, 682, 683, 685, 694, 695, 696, 755, 873, 874, 882, 883, 885, 891, 916, 917, 922, 924, 933, 954, 955, 964, 965, 967, 973, 979, 998, 999, 1005, 1007, 1042, 1043, 1046, 1059, 1066, 1073, 1075, 1105, 1171, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1187, 1193, 1196, 1197, 1198, 1213, 1216, 1222, 1228, 1229, 1233, 1235, 1240, 1242, 1243, 1244, 1245, 1275, 1281, 1282, 1283, 1331, 1349, 1351, 1354, 1355, 1356, 1357, 1358, 1365, 1367, 1368, 1369, 1371, 1383, 1384, 1386, 1421, 1434], "nbunch": [89, 167, 169, 176, 177, 181, 189, 190, 215, 292, 293, 321, 410, 486, 865, 867, 871, 872, 873, 879, 880, 910, 912, 916, 946, 948, 952, 953, 954, 961, 962, 992, 994, 998, 1061, 1065, 1069, 1090, 1330, 1411, 1413, 1415, 1416, 1421, 1423, 1436], "through": [89, 92, 95, 101, 102, 103, 133, 169, 190, 200, 231, 232, 233, 258, 288, 298, 299, 307, 308, 316, 325, 326, 328, 331, 332, 345, 358, 378, 472, 504, 521, 620, 680, 723, 724, 791, 798, 867, 880, 889, 912, 927, 948, 962, 971, 994, 1010, 1040, 1042, 1043, 1044, 1045, 1090, 1141, 1143, 1160, 1178, 1241, 1248, 1284, 1285, 1301, 1317, 1332, 1402, 1413, 1414], "nd_iter": [89, 176, 189, 871, 879, 952, 961], "nodes_nbr": 89, "nbunch_it": [89, 1330, 1402], "thingraph": [89, 798, 1040, 1042, 1043, 1404, 1416, 1421, 1434], "fastest": [89, 1402, 1403, 1413], "look": [89, 94, 100, 102, 104, 129, 200, 344, 432, 491, 547, 659, 889, 927, 971, 1010, 1041, 1105, 1332, 1361, 1364, 1402, 1413, 1422, 1425, 1434, 1436], "outgo": [89, 160, 161, 320, 330, 566, 860, 861, 905, 906, 941, 942, 987, 988, 1425], "adj_it": [89, 161, 861, 906, 942, 988], "gnp": [89, 1415, 1423], "anp": 89, "gd": [89, 1390], "gk": 89, "ak": 89, "gc": [89, 392, 614], "ac": [89, 236, 496, 750, 752], "comp": [89, 376, 394, 401, 402, 407, 408, 409, 1222, 1422], "biconnect": [89, 221, 389, 391, 392, 396, 760, 1429, 1434], "268": 89, "136": [89, 91, 298, 299, 307, 308, 316], "plot_antigraph": [89, 91], "foo": [90, 104, 160, 169, 171, 177, 185, 190, 191, 201, 860, 867, 868, 872, 875, 880, 881, 890, 905, 912, 913, 918, 941, 948, 953, 957, 962, 972, 994, 1001, 1088, 1089, 1302, 1402], "attr_dict": [90, 103, 1416, 1422], "printgraph": [90, 1404], "activ": [90, 92, 93, 94, 95, 100, 101, 105, 109, 621, 1434], "__init__": [90, 94, 107, 425, 547, 617, 721, 722, 735, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1302, 1308, 1420], "attr": [90, 96, 104, 152, 153, 157, 158, 159, 209, 472, 548, 549, 550, 554, 555, 556, 558, 559, 560, 617, 723, 724, 725, 726, 727, 728, 798, 852, 855, 856, 857, 858, 859, 897, 900, 901, 902, 903, 904, 933, 936, 937, 938, 939, 940, 979, 982, 983, 984, 985, 986, 1040, 1042, 1043, 1055, 1056, 1057, 1088, 1089, 1361, 1364, 1365, 1366, 1369, 1370, 1416, 1420, 1421, 1422, 1429, 1434], "super": [90, 107, 693], "stdout": [90, 1388], "remove_nod": [90, 196, 692, 886, 925, 968, 1008, 1402, 1403, 1436], "ebunch": [90, 153, 194, 569, 570, 571, 572, 573, 574, 575, 576, 856, 884, 901, 923, 937, 966, 983, 1006, 1330, 1436], "clear": [90, 93, 95, 98, 102, 103, 108, 111, 352, 353, 590, 936, 982, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1415, 1418, 1421, 1434, 1436], "add_path": [90, 167, 169, 176, 189, 190, 193, 241, 394, 409, 557, 578, 634, 708, 709, 710, 865, 867, 871, 879, 880, 883, 946, 948, 949, 950, 952, 961, 962, 965, 992, 994, 995, 996, 1005, 1055, 1057, 1067, 1413, 1416, 1417, 1420], "add_star": [90, 1055, 1056, 1413, 1416, 1420], "plot_printgraph": [90, 91], "230": 91, "auto_examples_subclass": 91, "written": [92, 101, 102, 105, 111, 359, 451, 1045, 1223, 1302, 1308, 1334, 1365, 1382, 1387, 1388, 1418], "aric": [92, 109, 111, 1185, 1199, 1416, 1417], "hagberg": [92, 109, 111, 1185, 1199, 1241, 1416, 1417], "dan": [92, 101, 103, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1430, 1431, 1432, 1433, 1434], "schult": [92, 101, 103, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1430, 1431, 1432, 1433, 1434], "pieter": [92, 111], "swart": [92, 111], "thank": [92, 95, 109], "everyon": [92, 93, 100], "who": [92, 93, 95, 100, 101, 104, 105, 110, 300, 1332, 1334], "improv": [92, 94, 98, 102, 104, 108, 223, 230, 232, 300, 316, 323, 382, 496, 512, 557, 570, 574, 762, 764, 782, 1240, 1402, 1403, 1404, 1409, 1410, 1411, 1412, 1413, 1415, 1416, 1427, 1433], "bug": [92, 95, 97, 98, 110, 300, 1403, 1409, 1412, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "design": [92, 94, 97, 99, 100, 101, 104, 107, 108, 111, 152, 204, 206, 299, 308, 316, 332, 566, 568, 590, 762, 793, 855, 900, 936, 982, 1308, 1326, 1327, 1332, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1434], "futur": [92, 94, 95, 101, 102, 700, 701, 1041, 1045, 1365, 1366, 1403, 1413, 1414, 1416, 1420, 1434], "guid": [92, 97, 98, 101, 102, 109, 111, 1415, 1416, 1421, 1422, 1425, 1434], "kelli": [92, 103, 109, 1421, 1422, 1426], "boothbi": [92, 103, 109, 1421, 1422, 1426], "camil": [92, 109], "camillescott": [92, 109], "dschult": [92, 101, 106, 109, 111], "eric": [92, 109, 479, 480, 481, 1206, 1419, 1420, 1421, 1422], "ma": [92, 109, 672, 677, 1418, 1419, 1420, 1421], "ericmjl": [92, 109], "harshal": [92, 106, 109, 1422, 1423], "dupar": [92, 106, 109, 1422, 1423], "jarrod": [92, 100, 101, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "millman": [92, 100, 101, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "jarrodmillman": [92, 109, 1420, 1421], "matt": [92, 109, 1428, 1430, 1431, 1434], "schwennesen": [92, 109, 1428, 1430, 1431, 1434], "mjschwenn": [92, 106, 109, 1423], "mridul": [92, 102, 106, 109, 1416, 1419, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1433, 1434], "seth": [92, 102, 109, 1416, 1419, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1433, 1434], "ross": [92, 104, 109, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1431, 1433, 1434], "barnowski": [92, 104, 109, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1431, 1433, 1434], "rossbar": [92, 104, 106, 109, 1421], "stefan": [92, 109, 1420, 1421, 1422, 1424, 1426], "van": [92, 109, 382, 513, 514, 1245, 1416, 1420, 1421, 1422, 1423, 1424, 1426, 1434], "der": [92, 109, 1420, 1421, 1422, 1424, 1426], "walt": [92, 109, 1420, 1421, 1422, 1424, 1426], "stefanv": [92, 109, 1420], "vadim": [92, 109, 1423], "abzalov": [92, 109], "vdshk": [92, 106, 109, 1423], "dimitrio": [92, 109, 129, 1422, 1423, 1430, 1434], "papageorgi": [92, 109, 1422, 1423, 1430, 1434], "z3y50n": [92, 106, 109, 1423], "benjamin": [92, 109, 1418, 1419], "edward": [92, 109, 1418, 1419], "bjedward": [92, 109], "chebee7i": [92, 109, 1416, 1418], "jfinkel": [92, 109, 1416], "jordi": [92, 109, 1416, 1417], "torrent": [92, 109, 221, 429, 1416, 1417], "jtorrent": [92, 109], "lo\u00efc": [92, 109], "s\u00e9guin": [92, 109], "charbonneau": [92, 109], "loicseguin": [92, 109], "ysitu": [92, 109, 1411], "feel": [92, 93, 95, 98, 106, 1436], "issu": [92, 93, 94, 97, 100, 101, 104, 105, 108, 348, 349, 354, 388, 457, 490, 492, 521, 627, 798, 1040, 1042, 1043, 1123, 1132, 1170, 1175, 1176, 1177, 1272, 1329, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1432, 1433, 1434, 1436], "submit": [92, 94, 95, 100], "github": [92, 94, 95, 100, 101, 104, 105, 106, 107, 112, 1045, 1204, 1332, 1422, 1434], "kati": 92, "hernan": 92, "rozenfeld": 92, "brendt": 92, "wohlberg": 92, "jim": [92, 1152, 1163, 1434], "bagrow": 92, "holli": 92, "johnsen": 92, "arnar": 92, "flatberg": 92, "chri": [92, 1416, 1422, 1425], "myer": 92, "joel": [92, 1185, 1228], "miller": [92, 1185, 1228], "keith": [92, 1232], "brigg": [92, 1232], "ignacio": 92, "rozada": 92, "phillipp": 92, "pagel": 92, "sverr": 92, "sundsdal": 92, "richardson": [92, 1434], "eben": 92, "kenah": 92, "sasha": 92, "gutfriend": 92, "udi": 92, "weinsberg": 92, "matteo": [92, 1419], "dell": 92, "amico": 92, "andrew": [92, 621, 1161, 1422, 1423], "conwai": 92, "raf": 92, "gun": 92, "salim": [92, 1420, 1421, 1422], "fadhlei": 92, "fabric": 92, "desclaux": 92, "arpad": 92, "horvath": 92, "minh": 92, "nguyen": 92, "willem": 92, "ligtenberg": 92, "mcguir": 92, "jesu": 92, "cerquid": 92, "ben": [92, 1434], "jon": [92, 306, 566, 1416, 1417, 1419, 1422, 1428], "olav": 92, "vik": 92, "hugh": 92, "brown": [92, 1431, 1432, 1434], "reilli": [92, 111], "leo": [92, 325, 326, 1418, 1423], "lope": [92, 576], "dheeraj": 92, "franck": 92, "kalala": 92, "simon": [92, 1423], "knight": 92, "conrad": 92, "lee": [92, 1417, 1421], "s\u00e9rgio": 92, "neri": 92, "sim\u00f5": 92, "king": 92, "nick": 92, "mancuso": 92, "brian": [92, 1426, 1434], "cloteaux": 92, "alejandro": [92, 1423], "weinstein": 92, "dustin": 92, "smith": [92, 1418], "mathieu": [92, 1423], "laros": 92, "romain": [92, 673, 674, 675, 676, 1418], "fontugn": 92, "vincent": 92, "gauthier": 92, "jeffrei": [92, 354, 1416], "finkelstein": [92, 1416], "gabriel": [92, 621, 1418, 1420], "young": [92, 1418, 1420], "jg": 92, "andrei": 92, "paramonov": 92, "aparamon": [92, 1417, 1418], "msk": 92, "ru": 92, "thodori": 92, "sotiropoulo": 92, "theosotr": 92, "konstantino": [92, 1434], "karakatsani": 92, "ryan": [92, 1416, 1421], "nelson": 92, "rnelsonchem": 92, "niel": [92, 1416], "adrichem": [92, 1416], "nvanadrichem": 92, "michael": [92, 1194, 1416, 1418, 1420, 1422, 1434], "rose": [92, 1416], "andr": [92, 1261], "weltsch": 92, "lewi": [92, 1418], "robbin": [92, 1418], "mad": [92, 1418], "jensen": [92, 734, 1418], "atombrella": 92, "platt": [92, 1418, 1419], "elplatt": 92, "jame": [92, 1161, 1416, 1417, 1420, 1421, 1423], "owen": 92, "leamingrad": [92, 1418], "gmyr": [92, 1418], "mike": [92, 1393, 1419], "trenfield": 92, "crall": [92, 1416, 1417, 1419, 1422, 1428], "erotem": 92, "issa": [92, 1419], "moradnejad": [92, 1419], "linkedin": 92, "kiefer": 92, "bkief": [92, 1420], "julien": [92, 1419, 1420], "klau": [92, 1419, 1420], "peter": [92, 459, 1404, 1416, 1420, 1425], "kroon": [92, 1420], "pckroon": 92, "weisheng": [92, 1419, 1420], "ws4u": 92, "haakon": [92, 1420], "r\u00f8d": 92, "gitlab": 92, "haakonhr": 92, "efraim": [92, 1420], "rodrigu": [92, 354, 1420], "efraimrodrigu": 92, "erwan": [92, 333, 1418, 1420], "le": [92, 104, 333, 1199, 1205, 1274, 1286, 1418, 1419, 1420], "merrer": [92, 333, 1418, 1420], "s\u00f8ren": [92, 1420, 1421], "fugled": [92, 1420, 1421], "j\u00f8rgensen": [92, 1420, 1421], "belhaddad": [92, 1420, 1421, 1422], "salymdotm": 92, "jangwon": [92, 1421], "yie": [92, 1421], "a7960065": 92, "toma": 92, "gavenciak": 92, "luca": [92, 336, 337, 1416, 1418, 1420, 1425, 1429, 1434], "baldesi": [92, 1275, 1418, 1420], "yuto": [92, 1418], "yamaguchi": [92, 1418], "clough": [92, 1416], "mina": [92, 1416], "gjoka": [92, 1213, 1214, 1215, 1216, 1416], "drew": [92, 1421], "alex": [92, 111, 1416, 1420, 1421, 1422], "levenson": 92, "haochen": [92, 1418, 1420], "wu": [92, 327, 595, 731, 733, 1418, 1420], "roper": 92, "christoph": [92, 1419, 1421], "ellison": 92, "eppstein": [92, 278, 469, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 736, 738, 1416], "federico": [92, 1418, 1421], "rosato": [92, 1418, 1421], "aitor": 92, "almeida": 92, "ferran": [92, 1416], "par\u00e9": [92, 375, 1416], "christian": [92, 298], "olsson": 92, "fredrik": [92, 1419], "erlandsson": [92, 1419], "nanda": [92, 1420], "krishna": [92, 1420], "nichola": [92, 1191], "fred": 92, "morstatt": 92, "olli": 92, "glass": 92, "rodrigo": [92, 1417], "dorant": [92, 1417], "gilardi": [92, 1417], "pranai": [92, 1418], "kanwar": [92, 1418], "balint": 92, "tillman": [92, 1213, 1214, 1216], "diederik": 92, "lier": 92, "ferdinando": 92, "papal": 92, "miguel": [92, 336, 337, 1418], "sozinho": [92, 1418], "ramalho": [92, 1418], "brandon": 92, "liu": [92, 428, 514], "nima": 92, "mohammadi": 92, "jason": [92, 1422], "grout": 92, "jan": [92, 513, 514, 673, 674, 675, 676, 695, 1403, 1415], "aagaard": 92, "meier": 92, "henrik": 92, "haugb\u00f8ll": 92, "piotr": 92, "brodka": 92, "gutfraind": 92, "alessandro": [92, 1416], "luongo": [92, 1416], "huston": [92, 1417], "heding": [92, 1417], "olegu": 92, "sagarra": 92, "kazimierz": [92, 1421], "wojciechowski": [92, 1421], "256": [92, 111, 1181, 1272, 1350, 1421], "gaetano": [92, 1421], "pietro": 92, "paolo": [92, 321, 1421], "carpinato": [92, 1421], "carghaez": 92, "gaetanocarpinato": 92, "arun": 92, "nampal": 92, "arunwis": [92, 1421], "b57845b7": 92, "duve": [92, 1421], "shashi": [92, 1421], "prakash": 92, "tripathi": [92, 519, 1421], "itsshavar": 92, "itsshashitripathi": 92, "danni": [92, 1421], "niquett": [92, 1421], "trimbl": [92, 1421, 1423], "jamestrimbl": 92, "matthia": [92, 1421, 1422, 1425, 1431], "bruhn": [92, 1421], "mbruhn": 92, "philip": 92, "boalch": 92, "knyazev": [92, 1423], "cappelletti": 92, "lucacappelletti94": 92, "sultan": [92, 1423, 1425, 1431, 1434], "orazbayev": [92, 1423, 1425, 1431, 1434], "sultanorazbayev": 92, "supplementari": 92, "incomplet": [92, 113, 1415, 1417], "commit": [92, 93, 94, 95, 100, 101, 106, 107, 1416, 1418, 1420, 1421, 1422, 1423, 1424, 1426, 1428, 1434], "git": [92, 94, 95, 98, 100, 107, 112, 1425, 1428], "repositori": [92, 94, 100, 107, 1415], "grep": [92, 98], "uniq": 92, "histor": [92, 100, 102, 1223], "earlier": [92, 300, 365, 366, 367, 741, 1205, 1402, 1411, 1417, 1422], "acknowledg": [92, 93, 97], "nonlinear": [92, 1219, 1221, 1228], "lo": 92, "alamo": 92, "nation": [92, 93, 459, 722], "laboratori": 92, "pi": [92, 655, 1117], "program": [92, 106, 111, 364, 457, 490, 492, 680, 1122, 1123, 1131, 1232, 1308, 1330, 1332, 1334, 1423], "offic": [92, 1273], "complex": [92, 95, 102, 106, 211, 218, 230, 231, 232, 240, 241, 275, 291, 294, 295, 301, 315, 329, 332, 333, 334, 335, 339, 348, 349, 357, 358, 373, 374, 378, 387, 388, 425, 436, 440, 454, 455, 496, 502, 521, 522, 523, 576, 618, 621, 627, 661, 694, 700, 701, 751, 1123, 1132, 1181, 1185, 1202, 1203, 1204, 1347, 1348, 1350, 1389, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "depart": [92, 496], "physic": [92, 111, 231, 237, 242, 245, 249, 328, 334, 335, 357, 358, 360, 380, 385, 388, 440, 487, 488, 489, 627, 1175, 1176, 1177, 1199, 1228, 1235, 1239], "crutchfield": 92, "institut": [92, 113, 215, 216, 217, 221], "discoveri": [92, 672, 677, 678, 692], "madison": 92, "jessica": 92, "flack": 92, "david": [92, 278, 364, 439, 444, 449, 450, 626, 687, 712, 713, 714, 715, 716, 717, 736, 738, 1152, 1163, 1261, 1417, 1418, 1421], "krakauer": 92, "financi": 92, "summer": [92, 106, 1414, 1422, 1423], "foundat": [92, 111, 414, 433, 443, 447, 448, 621, 753], "grant": [92, 101, 106, 1208], "w911nf": 92, "0288": 92, "darpa": 92, "intellig": [92, 133, 496, 576, 592, 734, 764, 1213, 1216], "subcontract": 92, "No": [92, 93, 229, 283, 285, 286, 287, 288, 289, 446, 452, 462, 682, 1041, 1402, 1403, 1405, 1420], "9060": 92, "000709": 92, "nsf": 92, "phy": [92, 276, 285, 314, 373, 374, 385, 387, 436, 575, 1171, 1183, 1188, 1189, 1190, 1193, 1236, 1240, 1293], "0748828": 92, "templeton": 92, "santa": [92, 215, 216, 217, 221], "fe": [92, 215, 216, 217, 221], "under": [92, 325, 326, 527, 537, 557, 568, 579, 588, 590, 608, 673, 674, 675, 676, 741, 1332, 1421, 1422, 1426], "contract": [92, 111, 393, 502, 586, 587, 589, 620, 621, 769, 1180, 1404, 1422], "0340": 92, "space": [93, 102, 110, 232, 297, 302, 303, 309, 310, 357, 425, 630, 631, 632, 762, 788, 1115, 1150, 1199, 1202, 1203, 1204, 1205, 1245, 1302, 1332, 1337, 1340, 1398, 1407, 1415, 1421, 1426], "manag": [93, 94, 101, 112, 229, 682, 693, 1411, 1420, 1421, 1434], "privat": [93, 101, 1045, 1421, 1422, 1430, 1434], "tracker": [93, 98, 101, 108], "wiki": [93, 113, 121, 122, 133, 212, 227, 231, 283, 284, 294, 342, 343, 427, 456, 471, 478, 485, 486, 490, 492, 592, 678, 697, 698, 706, 712, 734, 763, 769, 784, 1212, 1225, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270], "channel": 93, "honor": 93, "particip": [93, 101, 359, 521, 571], "formal": [93, 101, 115, 133, 221, 290, 344, 623, 689, 690, 691], "claim": [93, 95, 1265], "affili": [93, 258, 259, 260, 287, 289, 1171], "role": [93, 104, 357, 1205, 1208, 1272, 1416], "exhaust": [93, 181, 377, 873, 916, 954, 998, 1141, 1302], "distil": 93, "understand": [93, 101, 102, 110, 133, 386, 762, 1302, 1414], "collabor": [93, 111, 129, 285, 328], "environ": [93, 94, 98, 100, 111, 112, 375, 566, 1041, 1045, 1127, 1128, 1129, 1416, 1420], "spirit": 93, "much": [93, 95, 103, 111, 386, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 655, 684, 700, 701, 1041, 1049, 1105, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1219, 1221, 1403, 1414, 1415, 1418, 1436], "friendli": [93, 94, 103, 1332, 1419, 1434], "enrich": 93, "strive": 93, "invit": [93, 101, 106], "anyon": [93, 95, 100, 101, 103], "prefer": [93, 94, 95, 100, 103, 104, 110, 493, 494, 600, 617, 764, 1044, 1100, 1105, 1106, 1332, 1334, 1402, 1403, 1415, 1418, 1436], "unless": [93, 95, 101, 110, 128, 208, 271, 424, 490, 894, 930, 976, 1013, 1120, 1336, 1403, 1436], "someth": [93, 95, 102, 104, 108, 529, 539, 798, 1040, 1042, 1043, 1045, 1049, 1123, 1132, 1306, 1362, 1363, 1413], "sensit": [93, 101, 1275], "too": [93, 95, 693, 782, 1046, 1171, 1240, 1301, 1332, 1334, 1413, 1434, 1436], "answer": [93, 98, 763, 1416], "question": [93, 98, 695, 1332, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "inadvert": 93, "mistak": [93, 95, 1433], "easili": [93, 101, 116, 382, 496, 690, 693, 1334, 1408, 1413, 1436], "detect": [93, 96, 106, 129, 211, 323, 375, 376, 380, 381, 382, 383, 385, 387, 388, 440, 521, 595, 654, 660, 665, 760, 788, 1171, 1175, 1176, 1177, 1332, 1416, 1417, 1418, 1421, 1423], "empathet": 93, "welcom": [93, 95, 110], "patient": 93, "resolv": [93, 94, 95, 98, 100, 101, 102, 466, 1420, 1421, 1434], "assum": [93, 94, 95, 98, 102, 107, 112, 133, 185, 220, 236, 266, 292, 293, 315, 317, 329, 380, 431, 473, 474, 475, 476, 477, 579, 583, 590, 602, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 690, 691, 693, 755, 763, 875, 918, 933, 957, 979, 1001, 1042, 1043, 1089, 1094, 1100, 1149, 1215, 1276, 1293, 1294, 1302, 1308, 1332, 1402, 1403, 1413, 1416, 1434], "intent": [93, 1332], "experi": [93, 95, 101, 106, 214, 348, 349, 483, 484, 1174, 1334], "frustrat": 93, "attack": 93, "peopl": [93, 100, 166, 468, 782, 864, 909, 945, 991, 1045, 1332, 1334, 1413, 1414, 1416, 1422, 1425, 1434], "uncomfort": 93, "threaten": 93, "benefit": [93, 94, 104, 105, 692], "willing": [93, 687], "explain": [93, 94, 95, 105, 106, 1293, 1413], "better": [93, 94, 100, 102, 103, 104, 170, 283, 298, 307, 383, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 431, 455, 498, 502, 571, 1041, 1045, 1046, 1108, 1353, 1407, 1411, 1414, 1415, 1421, 1434, 1436], "decis": [93, 95, 97, 99, 100, 102, 110, 1170], "affect": [93, 105, 166, 375, 382, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 864, 909, 945, 991, 1402, 1403, 1407, 1408, 1413, 1416, 1426], "colleagu": 93, "consequ": [93, 102], "serious": [93, 95], "inquisit": 93, "nobodi": [93, 1416], "everyth": 93, "ask": [93, 94, 95, 98, 100, 1284, 1285, 1415], "earli": [93, 94, 385, 654, 665, 762], "avoid": [93, 95, 100, 102, 103, 115, 153, 158, 159, 196, 250, 253, 254, 347, 348, 349, 350, 351, 471, 473, 474, 475, 476, 477, 602, 606, 680, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1041, 1064, 1085, 1301, 1308, 1337, 1340, 1415, 1416, 1417, 1418, 1421, 1426, 1434], "later": [93, 94, 100, 103, 741, 1415, 1436], "encourag": [93, 95, 100, 106, 231, 782, 1408], "although": [93, 700, 701, 764, 1150, 1387, 1411], "appropri": [93, 100, 101, 103, 112, 627, 630, 631, 632, 697, 731, 733, 1045, 1101, 1102, 1121, 1302, 1416], "forum": [93, 100], "hard": [93, 102, 107, 113, 213, 424, 782, 1045, 1120, 1224, 1240, 1413, 1421], "respons": [93, 94, 95, 100, 104, 764, 791], "own": [93, 94, 95, 98, 104, 168, 200, 231, 232, 233, 259, 364, 375, 382, 385, 386, 590, 866, 889, 911, 927, 947, 971, 993, 1010, 1064, 1069, 1085, 1171, 1181, 1334, 1387, 1418], "speech": 93, "insult": 93, "harass": 93, "exclusionari": 93, "behaviour": [93, 1422, 1426, 1434], "violent": 93, "threat": 93, "against": [93, 94, 101, 784, 1041, 1265, 1430], "sexist": 93, "racist": 93, "discriminatori": 93, "joke": 93, "post": [93, 94, 95, 100, 105, 107, 233, 714, 1048, 1171, 1302], "sexual": 93, "explicit": [93, 94, 98, 102, 152, 620, 855, 900, 936, 982, 1041, 1196, 1329, 1332, 1404, 1414, 1421, 1422, 1430], "materi": [93, 111, 1436], "dox": 93, "content": [93, 98, 100, 107, 108, 325, 326, 437, 438, 478, 1127, 1129, 1208, 1362, 1395, 1436], "sent": [93, 1415], "publicli": [93, 94, 1414], "unlog": 93, "irc": [93, 1416], "consent": 93, "term": [93, 95, 100, 108, 212, 219, 221, 250, 301, 384, 429, 492, 595, 617, 764, 788, 793, 965, 966, 1005, 1006, 1302, 1332, 1353], "unwelcom": 93, "attent": 93, "excess": [93, 511], "profan": 93, "swearword": 93, "greatli": 93, "swear": 93, "someon": [93, 100, 106], "advoc": [93, 101], "enjoi": [93, 571], "part": [93, 94, 95, 100, 106, 108, 111, 116, 193, 221, 224, 259, 266, 284, 296, 300, 323, 354, 391, 392, 424, 432, 456, 551, 552, 591, 679, 680, 690, 788, 883, 922, 1048, 1223, 1228, 1266, 1334, 1402, 1403, 1408, 1415, 1436], "accommod": [93, 233], "individu": [93, 108, 112, 331, 379, 382, 1127, 1128, 1129, 1370, 1402, 1413, 1416], "treat": [93, 208, 279, 316, 317, 328, 331, 332, 339, 452, 478, 690, 719, 720, 723, 724, 744, 745, 793, 894, 930, 976, 1013, 1041, 1088, 1089, 1101, 1104, 1120, 1123, 1132, 1303, 1342, 1343, 1418, 1425, 1436], "kindli": 93, "matter": [93, 103, 763, 1228, 1332], "yourself": [93, 95, 1334], "perceiv": [93, 101], "hope": 93, "comprehens": [93, 105, 788, 1391, 1415, 1417, 1427, 1430], "honour": 93, "ag": 93, "ethnic": 93, "genotyp": 93, "gender": [93, 239], "ident": [93, 104, 110, 171, 173, 187, 188, 201, 244, 466, 513, 514, 561, 562, 756, 793, 854, 868, 870, 877, 878, 890, 899, 913, 915, 917, 920, 921, 935, 949, 951, 959, 960, 972, 981, 995, 997, 999, 1003, 1004, 1038, 1086, 1092, 1093, 1152, 1255, 1275, 1278, 1290, 1300, 1367, 1368, 1371, 1372, 1415, 1434], "neurotyp": 93, "phenotyp": 93, "polit": [93, 95, 1261], "belief": [93, 133], "profess": 93, "race": 93, "religion": 93, "socioeconom": 93, "statu": [93, 94, 100, 101, 102, 103, 104, 105, 306, 325, 326, 1403, 1406, 1409, 1410, 1415, 1423], "subcultur": 93, "technic": [93, 100, 105, 113, 180, 354, 379, 1278, 1414], "abil": [93, 95, 108, 111, 339, 1421], "fluent": 93, "develop": [93, 96, 98, 100, 103, 105, 106, 107, 108, 110, 111, 228, 459, 788, 1171, 1223, 1329, 1332, 1402, 1403, 1404, 1415, 1421, 1422, 1424, 1425, 1428, 1434, 1436], "uphold": 93, "interact": [93, 94, 97, 101, 102, 375, 1193, 1273, 1332, 1390, 1416, 1436], "painfulli": 93, "devolv": 93, "obviou": [93, 94, 502, 1413], "flagrant": 93, "abus": [93, 1436], "recogn": [93, 95, 250, 251, 1411], "bad": [93, 100, 1415, 1421, 1422], "dai": [93, 100, 617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1436], "unawar": 93, "mind": [93, 364, 1284, 1285, 1334], "respond": [93, 95, 100, 101], "breach": 93, "clearli": [93, 95], "steer": [93, 100], "council": [93, 100], "possibli": [93, 105, 181, 200, 233, 472, 724, 873, 889, 916, 927, 954, 971, 998, 1010, 1217, 1218, 1302, 1314, 1436], "unintent": 93, "repli": 93, "whatev": [93, 1425, 1434, 1436], "advic": [93, 100], "confid": [93, 101], "recus": 93, "themselv": [93, 100, 466, 689, 1278, 1332, 1434], "reason": [93, 95, 100, 101, 102, 103, 116, 133, 349, 724, 793, 1223, 1263, 1332, 1334, 1425], "senior": 93, "numfocu": [93, 106], "staff": 93, "investig": [93, 108, 782, 1423], "complaint": [93, 1436], "protect": [93, 798, 949, 995, 1040, 1042, 1043, 1415], "confidenti": 93, "agre": [93, 96, 101], "immedi": [93, 103, 325, 326, 375, 484, 496, 500, 501, 512, 617, 713, 1404, 1416], "act": [93, 166, 300, 317, 864, 909, 945, 991, 1115, 1208, 1332, 1413, 1425], "violat": [93, 1150], "feedback": [93, 100, 102], "mediat": 93, "didn": [93, 470, 1425], "reporte": 93, "transpar": [93, 1139, 1140, 1141, 1142, 1143], "soon": [93, 94, 344, 504, 505, 508, 509, 1411], "72": [93, 291, 316, 360, 1327], "hour": [93, 106], "adapt": [93, 347, 348, 349, 451, 490, 683, 684, 685, 686, 712, 713, 714, 715, 716, 717, 1390, 1411, 1421], "familiar": [94, 95, 719, 720, 1332, 1436], "scientif": [94, 108, 110, 112, 129, 285, 328, 440, 1334, 1434], "want": [94, 97, 102, 103, 111, 112, 166, 200, 208, 244, 270, 272, 274, 277, 298, 299, 300, 329, 392, 394, 401, 407, 408, 409, 498, 506, 507, 510, 511, 579, 601, 604, 711, 751, 798, 864, 889, 894, 909, 927, 930, 945, 971, 976, 991, 1010, 1013, 1040, 1041, 1042, 1043, 1045, 1088, 1089, 1160, 1195, 1287, 1306, 1332, 1334, 1347, 1350, 1365, 1371, 1382, 1402, 1413, 1436], "faq": [94, 97, 1422, 1423], "go": [94, 100, 102, 103, 162, 331, 345, 382, 617, 1069, 1179, 1263, 1293, 1422], "fork": 94, "button": 94, "clone": [94, 112], "local": [94, 214, 215, 216, 217, 223, 231, 232, 236, 262, 263, 296, 315, 329, 333, 343, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 423, 430, 487, 489, 514, 522, 523, 575, 594, 689, 691, 759, 1201, 1235, 1334, 1411, 1416, 1418, 1436], "usernam": 94, "navig": [94, 1201, 1407, 1415, 1416], "folder": [94, 1416], "remot": [94, 107], "instruct": [94, 98, 100, 101, 112, 1415, 1420, 1422], "venv": [94, 112, 1422], "pip": [94, 107, 112, 1412, 1422], "virtualenv": 94, "dev": [94, 283, 1045, 1108, 1420, 1421, 1423, 1424], "live": [94, 101], "instal": [94, 97, 107, 110, 617, 852, 897, 933, 979, 1332, 1405, 1413, 1414, 1415, 1416, 1421, 1422, 1430], "runtim": [94, 219, 222, 227, 236, 250, 515, 680, 788], "pydot": [94, 96, 112, 1130, 1131, 1132, 1134, 1331, 1332, 1405, 1407, 1415, 1416, 1417, 1421, 1423, 1428, 1429, 1430, 1434, 1436], "properli": [94, 1302, 1421], "pytest": [94, 112, 1041, 1420, 1421, 1422, 1423, 1428, 1429, 1433, 1434], "pyarg": [94, 112, 1041], "conda": [94, 1422, 1423], "anaconda": 94, "miniconda": 94, "forg": [94, 1275], "pre": [94, 102, 316, 328, 332, 716, 1332, 1415, 1421, 1422, 1423, 1428, 1434], "hook": [94, 1421, 1431, 1434], "latest": [94, 95, 100, 107, 112, 1136, 1139, 1140, 1141, 1142, 1143, 1415, 1430, 1432], "checkout": [94, 98], "branch": [94, 95, 98, 105, 107, 112, 209, 354, 462, 723, 724, 725, 727, 743, 744, 760, 762, 1151, 1161, 1404, 1415, 1416, 1422, 1430, 1433], "sensibl": [94, 730], "bugfix": [94, 1415, 1416, 1420, 1422, 1423], "1480": 94, "pythonpath": [94, 1332], "befor": [94, 95, 100, 101, 102, 103, 108, 110, 112, 133, 159, 207, 323, 352, 353, 379, 385, 455, 457, 468, 555, 590, 680, 694, 695, 696, 732, 754, 859, 904, 940, 986, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1117, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1301, 1302, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1387, 1388, 1402, 1411, 1416, 1418, 1419, 1420, 1422, 1423, 1425], "catch": [94, 1415, 1428, 1429], "integr": [94, 108, 1241, 1277, 1317, 1329, 1417, 1425, 1434], "push": [94, 95, 107, 375, 511, 760, 1308, 1411, 1416, 1434], "review": [94, 96, 97, 98, 101, 107, 108, 110, 111, 221, 237, 242, 245, 249, 328, 334, 335, 357, 358, 360, 380, 385, 429, 440, 487, 488, 489, 1181, 1199, 1228, 1235, 1422, 1426], "pr": [94, 95, 98, 100, 102, 106, 107, 108, 568, 1284, 1285, 1404, 1412], "trigger": 94, "servic": [94, 107, 111, 1391], "pass": [94, 100, 103, 104, 116, 153, 158, 159, 196, 207, 209, 230, 240, 241, 253, 254, 258, 261, 298, 299, 307, 308, 316, 328, 332, 413, 414, 418, 419, 420, 421, 472, 504, 505, 508, 509, 588, 595, 672, 680, 725, 726, 727, 728, 751, 753, 755, 798, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 961, 968, 983, 985, 986, 1008, 1040, 1041, 1042, 1043, 1133, 1139, 1141, 1160, 1199, 1203, 1275, 1284, 1285, 1304, 1306, 1369, 1408, 1411, 1413, 1415, 1417, 1418, 1421, 1422, 1423, 1424, 1425, 1428, 1436], "fail": [94, 101, 194, 196, 312, 325, 466, 470, 499, 566, 568, 630, 631, 632, 884, 886, 923, 925, 933, 966, 968, 979, 1006, 1008, 1042, 1043, 1046, 1332, 1415, 1416, 1420, 1421, 1423, 1428, 1430, 1432], "why": [94, 105, 116, 681], "inspect": [94, 102, 1050, 1302, 1426], "inlin": [94, 1429], "ve": [94, 97, 1332], "learn": [94, 95, 104, 106, 112, 344, 513, 514, 592, 593, 594, 772, 1332, 1436], "overal": [94, 383], "qualiti": [94, 104, 126, 231, 232, 1302, 1422, 1434], "discourag": [94, 103, 1414, 1421], "critic": [94, 95, 333, 436], "veri": [94, 98, 100, 102, 104, 221, 232, 354, 385, 387, 502, 514, 679, 680, 706, 719, 1041, 1064, 1069, 1414, 1434, 1436], "grate": [94, 95], "donat": 94, "sure": [94, 96, 98, 100, 112, 116, 430, 1141, 1156, 1158, 1163, 1165, 1166, 1169, 1302, 1356], "phrase": [94, 103, 764], "modif": [94, 111, 407, 408, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717], "releas": [94, 95, 96, 97, 100, 104, 111, 1213, 1216, 1331, 1365, 1366, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "release_dev": [94, 107], "rst": [94, 100, 107, 1416, 1417, 1420, 1421, 1422, 1423, 1431], "deprec": [94, 97, 104, 107, 346, 350, 351, 356, 1192, 1369, 1370, 1403, 1404, 1412, 1413, 1415, 1429, 1431], "curly_hair": 94, "deprecationwarn": 94, "conftest": [94, 96, 1422], "filterwarn": 94, "remind": [94, 95], "misc": [94, 104, 1422, 1425], "generate_unique_nod": [94, 1422, 1434], "4281": [94, 1422], "read_yaml": [94, 1414, 1422], "write_yaml": [94, 1414, 1422], "123": [94, 382, 1109], "longer": [94, 95, 100, 103, 104, 108, 216, 217, 513, 514, 581, 1120, 1223, 1281, 1402, 1403, 1405, 1407, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1422, 1425, 1434], "fetch": 94, "unmerg": 94, "modifi": [94, 95, 100, 102, 104, 110, 153, 158, 159, 196, 227, 323, 379, 587, 589, 679, 680, 694, 695, 696, 721, 735, 736, 738, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1048, 1066, 1105, 1106, 1108, 1160, 1183, 1276, 1287, 1301, 1402, 1415, 1422, 1434, 1436], "file_with_conflict": 94, "insid": [94, 102, 112, 221, 721, 1045, 1127, 1259, 1302, 1422], "kept": [94, 107], "delet": [94, 96, 107, 323, 327, 620, 621, 673, 674, 675, 676, 769, 1160, 1306, 1332, 1358, 1360, 1384, 1386, 1402, 1403, 1415, 1416, 1422, 1434], "rest": [94, 108, 185, 215, 412, 416, 875, 918, 957, 1001, 1434], "advanc": [94, 104, 576, 594, 620, 675, 760, 798, 1040, 1042, 1043, 1198, 1286, 1296, 1422, 1423], "rebas": [94, 95], "squash": [94, 95], "often": [94, 95, 100, 102, 103, 106, 380, 385, 386, 390, 466, 734, 782, 788, 798, 1040, 1041, 1042, 1043, 1127, 1128, 1129, 1240, 1302, 1332, 1334, 1414, 1434], "typic": [94, 98, 104, 128, 306, 798, 1040, 1042, 1043, 1105, 1106, 1181, 1329, 1422], "propos": [94, 98, 99, 100, 102, 103, 104, 105, 106, 108, 216, 231, 300, 580, 690, 1390, 1421, 1422, 1423, 1431], "easi": [94, 98, 103, 108, 110, 298, 299, 386, 762, 1127, 1129, 1332, 1334, 1391, 1421], "demonstr": [94, 101, 311, 1413, 1415], "spread": [94, 302, 303, 309, 310, 331], "sp": [94, 472, 475, 1104, 1395, 1436], "pd": [94, 1102, 1103, 1106, 1421], "stat": [94, 245, 382, 383, 750, 752, 1199, 1203, 1230, 1234, 1238], "optim": [94, 108, 113, 126, 209, 213, 227, 231, 232, 332, 355, 364, 382, 383, 384, 387, 424, 431, 498, 510, 674, 694, 722, 724, 725, 726, 727, 728, 731, 733, 734, 762, 782, 1111, 1120, 1241, 1326, 1327, 1411, 1420, 1421, 1425], "subpackag": [94, 106, 769, 1332, 1422, 1434], "particular": [94, 98, 111, 116, 359, 376, 519, 620, 752, 1181, 1284, 1285, 1334, 1356, 1418], "decor": [94, 103, 104, 1048, 1049, 1050, 1303, 1304, 1305, 1306, 1307, 1331, 1414, 1416, 1420, 1422, 1423, 1426, 1434], "not_implemented_for": [94, 1302, 1416, 1426], "doesn": [94, 95, 98, 102, 103, 157, 171, 563, 564, 565, 763, 798, 857, 868, 902, 913, 938, 949, 984, 995, 1040, 1042, 1043, 1120, 1181, 1183, 1185, 1222, 1228, 1302, 1332, 1413, 1415, 1416, 1421, 1423, 1434], "function_not_for_multidigraph": 94, "function_only_for_graph": 94, "framework": [94, 103, 1364], "submodul": [94, 1422], "specif": [94, 97, 100, 102, 108, 111, 112, 113, 158, 185, 233, 348, 349, 372, 460, 504, 505, 508, 509, 519, 567, 683, 685, 705, 858, 875, 903, 918, 939, 949, 957, 985, 995, 1001, 1126, 1139, 1141, 1143, 1171, 1199, 1205, 1293, 1294, 1302, 1332, 1349, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386, 1389, 1390, 1391, 1407, 1414, 1418, 1421, 1423, 1433, 1436], "readwrit": [94, 96, 1351, 1353, 1354, 1355, 1356, 1365, 1366, 1371, 1372, 1411, 1415, 1416, 1422], "test_edgelist": 94, "test_parse_edgelist_with_data_list": 94, "doctest": [94, 107, 1416, 1417, 1420, 1421, 1422, 1434], "ideal": [94, 1391], "coverag": [94, 98, 110, 388, 1416, 1420, 1421, 1422, 1429, 1433, 1434], "cov": 94, "stmt": 94, "miss": [94, 106, 472, 571, 575, 607, 609, 612, 613, 1161, 1349, 1410, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1433, 1434], "brpart": 94, "91": [94, 627, 1422], "114": [94, 490, 492, 496, 1415], "cliqu": [94, 210, 211, 212, 225, 235, 341, 342, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 378, 425, 439, 445, 551, 734, 760, 1172, 1173, 1177, 1178, 1180, 1194, 1223, 1282, 1331, 1404, 1408, 1409, 1415, 1417, 1420, 1421, 1422, 1423], "97": [94, 111, 359], "troubl": [94, 225, 1418, 1422], "anywai": [94, 102, 1418], "gather": [94, 100], "assembl": [94, 1049, 1050, 1302], "idea": [94, 95, 98, 100, 103, 106, 133, 218, 375, 425, 430, 689, 691, 1332, 1390, 1413, 1416], "plot_": 94, "plot_new_exampl": 94, "highlight": [94, 107, 1412], "resourc": [94, 97, 478, 479, 480, 574, 575, 620, 1171, 1206], "docstr": [94, 95, 96, 98, 110, 349, 1351, 1354, 1355, 1356, 1408, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1430, 1431, 1432, 1434], "chicago": [94, 1271], "citat": [94, 98, 348, 349, 568, 1245, 1421], "quickest": 94, "scholar": 94, "paywal": 94, "arxiv": [94, 111, 129, 218, 221, 301, 306, 334, 335, 357, 360, 373, 374, 375, 387, 388, 429, 434, 435, 439, 514, 575, 621, 627, 687, 695, 1159, 1175, 1176, 1177, 1191, 1233, 1275, 1286], "access": [94, 102, 126, 152, 169, 190, 431, 473, 474, 475, 476, 477, 498, 608, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 695, 723, 762, 772, 791, 798, 855, 867, 880, 900, 912, 917, 936, 948, 962, 982, 994, 999, 1040, 1041, 1042, 1043, 1141, 1332, 1401, 1402, 1403, 1405, 1407, 1408, 1411, 1415, 1416, 1417, 1419], "cheong": 94, "se": 94, "hang": 94, "yain": 94, "whar": 94, "schemat": 94, "placement": [94, 616], "survei": [94, 111, 566, 568, 583, 788, 1207], "2020": [94, 100, 101, 102, 103, 571, 1415, 1421], "1177": 94, "2f1473871618821740": 94, "upload": [94, 107, 218], "pdf": [94, 111, 113, 129, 215, 216, 217, 218, 221, 236, 306, 312, 313, 316, 323, 325, 326, 327, 332, 344, 357, 358, 375, 412, 413, 414, 415, 416, 417, 419, 428, 429, 432, 444, 449, 450, 478, 485, 492, 496, 513, 514, 521, 566, 568, 569, 572, 573, 575, 620, 621, 692, 695, 750, 751, 752, 762, 764, 1045, 1199, 1203, 1204, 1332, 1416, 1421, 1436], "docx": 94, "ppt": 94, "lectur": [94, 111, 414, 433, 500, 618, 1209], "wayback": [94, 1422], "machin": [94, 313, 333, 496, 513, 514, 764, 1405, 1415, 1422], "snapshot": 94, "unreach": 94, "tell": [94, 100, 103, 762, 1281, 1284, 1285, 1302, 1334, 1421], "compar": [94, 466, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 561, 562, 563, 564, 565, 617, 762, 784, 1171, 1308, 1423], "baselin": [94, 1140, 1142], "ones": [94, 100, 108, 110, 283, 682, 1041, 1404, 1411, 1413], "savefig": [94, 1436], "mpl_image_compar": 94, "test_barbel": 94, "barbel": [94, 294, 295, 393, 426, 1152, 1163, 1282, 1436], "conduct": [94, 97, 101, 110, 449, 450, 760], "contributor": [95, 97, 100, 106, 107, 111, 1277, 1329, 1412], "shepherd": [95, 100], "mission": [95, 97, 98, 101, 108], "approv": [95, 101], "nuclear": 95, "launch": 95, "carefulli": 95, "clean": [95, 107, 532, 542, 1306, 1415, 1416, 1420, 1422, 1429, 1434], "nearli": 95, "volunt": [95, 108, 1422], "tremend": 95, "felt": 95, "evalu": [95, 131, 153, 158, 159, 196, 332, 620, 621, 628, 629, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1127, 1129, 1302, 1426], "novic": 95, "strongli": [95, 218, 233, 390, 393, 399, 400, 401, 405, 407, 408, 425, 482, 493, 494, 521, 590, 635, 699, 701, 753, 755, 1191, 1387, 1411, 1415, 1420, 1423, 1426, 1434], "mentorship": [95, 1422], "handhold": 95, "liber": 95, "workflow": [95, 97, 98, 101, 107, 1422, 1429], "realiz": [95, 515, 516, 517, 518, 519, 520, 695, 1181, 1183, 1186, 1213, 1214, 1215, 1216, 1228, 1270], "gentl": 95, "abandon": 95, "difficult": [95, 1414], "carri": [95, 101, 510], "polici": [95, 97, 100, 1421, 1423], "effici": [95, 103, 113, 213, 276, 291, 379, 389, 391, 392, 394, 396, 401, 407, 408, 409, 424, 427, 428, 488, 489, 510, 514, 583, 616, 682, 690, 693, 700, 701, 760, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1185, 1209, 1236, 1331, 1394, 1398, 1407, 1408, 1415, 1416, 1417, 1420, 1422], "explor": [95, 106, 108, 111, 706, 713, 719], "corner": [95, 1416, 1423], "tempt": 95, "nitpicki": 95, "spell": [95, 1415, 1421, 1422], "suggest": [95, 103, 106, 634, 637, 638, 1171, 1332, 1411, 1415, 1421, 1423, 1434], "latter": [95, 101, 103, 442, 731, 733, 793, 1305], "choic": [95, 103, 205, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 481, 504, 505, 508, 509, 736, 737, 738, 739, 782, 893, 975, 1041, 1045, 1231, 1247, 1286, 1332, 1436], "wish": [95, 621, 1069, 1402], "bring": [95, 102, 568], "advis": [95, 111, 1423], "aris": [95, 111, 239, 244, 1223, 1251], "experienc": 95, "credit": [95, 106], "send": [95, 100, 498, 499, 503, 506, 507, 510, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "notif": 95, "maintain": [95, 96, 100, 101, 104, 106, 108, 110, 231, 232, 616, 798, 1040, 1042, 1043, 1415, 1434], "concern": [95, 102, 104, 133, 791, 793, 1390], "mere": [95, 1152, 1163], "understood": 95, "made": [95, 100, 101, 103, 223, 283, 285, 286, 287, 288, 289, 325, 326, 333, 695, 696, 1125, 1216, 1332, 1402, 1412, 1413, 1416, 1421], "freeli": 95, "consult": [95, 112], "extern": [95, 108, 621, 1332, 1391, 1416], "insight": 95, "opportun": [95, 100], "patch": [95, 100, 103, 1045, 1139, 1141, 1421, 1422], "vouch": 95, "fulli": [95, 763, 1045, 1194], "behind": [95, 106], "clarif": [95, 300, 323], "deem": 95, "nich": 95, "devot": 95, "sustain": [95, 97], "effort": [95, 108, 1332], "priorit": 95, "similarli": [95, 104, 116, 208, 348, 358, 600, 623, 798, 894, 930, 976, 1013, 1040, 1042, 1043, 1045, 1154, 1181, 1183, 1199, 1204, 1213, 1302, 1403, 1413, 1436], "worth": [95, 763, 1436], "mainten": 95, "burden": 95, "necessari": [95, 96, 101, 105, 529, 539, 956, 1000, 1141, 1143, 1302, 1415, 1421], "valid": [95, 102, 162, 178, 257, 278, 279, 282, 283, 379, 388, 441, 460, 466, 468, 499, 515, 516, 517, 518, 519, 520, 561, 562, 580, 581, 582, 590, 616, 617, 736, 737, 738, 739, 748, 760, 1041, 1046, 1074, 1090, 1103, 1107, 1108, 1171, 1193, 1199, 1243, 1244, 1280, 1284, 1285, 1302, 1337, 1340, 1416, 1421, 1422, 1423, 1426, 1428, 1431], "wari": 95, "alien": 95, "visibl": [95, 98], "thread": [95, 98, 100, 104, 105, 1422], "appeal": [95, 101], "empow": 95, "regardless": [95, 100, 1141, 1197, 1413], "outcom": [95, 106, 1039, 1091, 1390, 1426], "past": [95, 107, 1387, 1414], "pep8": [95, 1416, 1421, 1425], "pep257": 95, "superset": [95, 584], "stackoverflow": 95, "monitor": [95, 102], "signatur": [96, 98, 104, 110, 547, 1048, 1302, 1408, 1413, 1416, 1422, 1428, 1431, 1434], "buggi": 96, "usual": [96, 102, 169, 177, 190, 292, 293, 331, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 440, 442, 469, 617, 755, 764, 798, 867, 872, 880, 912, 948, 953, 962, 994, 1042, 1043, 1045, 1048, 1097, 1180, 1205, 1223, 1278, 1302, 1332, 1412], "minor": [96, 101, 107, 586, 760, 1331, 1403, 1404, 1412, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "strict": [96, 111, 215, 216, 217, 621, 1417, 1422], "rule": [96, 101, 200, 510, 762, 889, 927, 971, 1010, 1064, 1085, 1150, 1304], "procedur": [96, 98, 100, 218, 221, 282, 306, 379, 510, 682, 1194, 1387, 1426], "upon": [96, 103, 582, 1302, 1422, 1425], "justif": [96, 105], "literal_string": [96, 1351, 1356, 1392, 1421], "literal_destring": [96, 1353, 1355, 1392, 1421], "coreview": [96, 1422, 1434], "filter": [96, 323, 455, 1039, 1064, 1085, 1091, 1275, 1330, 1331, 1422, 1434], "link_analysi": [96, 1414], "pagerank_alg": [96, 1414], "replac": [96, 100, 103, 104, 203, 233, 271, 387, 413, 414, 432, 433, 514, 585, 798, 892, 928, 936, 974, 982, 1011, 1040, 1042, 1043, 1054, 1097, 1231, 1247, 1301, 1302, 1303, 1317, 1323, 1332, 1353, 1369, 1370, 1387, 1402, 1403, 1405, 1408, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1426, 1431, 1433, 1434], "pagerank": [96, 312, 313, 325, 326, 327, 567, 760, 1289, 1290, 1403, 1407, 1414, 1415, 1416, 1422, 1434], "pagerank_scipi": [96, 1414, 1420, 1422], "renam": [96, 103, 107, 599, 603, 606, 611, 1301, 1354, 1355, 1363, 1403, 1416, 1421, 1430, 1433], "pagerank_numpi": [96, 1414, 1416, 1422], "_pagerank_numpi": 96, "convert_matrix": [96, 1395, 1416, 1420, 1422], "to_pandas_edgelist": [96, 1103, 1416, 1417, 1422, 1434], "binari": [96, 111, 431, 478, 588, 595, 732, 741, 1423], "asmatrix": 96, "wrapper": [96, 1122, 1131, 1302, 1414, 1422], "google_matrix": [96, 568, 1423, 1434], "futurewarn": [96, 1422, 1423], "attrmatrix": [96, 1434], "reflect": [96, 100, 104, 200, 297, 302, 303, 304, 309, 310, 324, 468, 889, 927, 971, 1010, 1064, 1069, 1085, 1088, 1089, 1332, 1415, 1416, 1429], "ndarrai": [96, 108, 567, 631, 1101, 1105, 1284, 1395, 1414, 1423, 1434], "distance_measur": [96, 218, 1420], "extrema_bound": [96, 1425, 1434], "maxcardin": [96, 583, 585, 1425, 1434], "min_weight_match": [96, 760, 1425, 1434], "scale_free_graph": [96, 1422, 1429], "nx_pydot": [96, 1044, 1045, 1130, 1131, 1132, 1133, 1134, 1405, 1417, 1434, 1436], "5723": [96, 1434], "node_link": [96, 1416, 1431, 1434], "node_link_graph": [96, 1369, 1392], "forest_str": [96, 1422], "write_network_text": [96, 1279, 1392], "1rc1": [97, 111, 1331, 1426], "dev0": [97, 111, 1331], "feb": [97, 111, 1331], "2023": [97, 111, 1331, 1434], "about": [97, 100, 101, 102, 104, 106, 112, 116, 231, 232, 250, 415, 425, 490, 496, 500, 501, 511, 512, 621, 763, 764, 1041, 1064, 1069, 1147, 1223, 1302, 1329, 1332, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1431, 1434, 1436], "emeritu": 97, "introduct": [97, 111, 312, 313, 325, 326, 385, 387, 466, 468, 620, 621, 1161, 1275, 1308, 1331, 1420], "guidelin": [97, 100, 1425, 1428], "divers": [97, 108], "enforc": [97, 116, 695, 696, 1428, 1434], "endnot": 97, "diverg": [97, 1193, 1331, 1404], "upstream": [97, 466, 1428], "comparison": [97, 108, 232, 466, 496, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 563, 564, 565, 617, 673, 675, 1422], "mentor": [97, 110, 1422, 1423, 1434], "pedagog": [97, 110, 349, 454, 724, 1414, 1423], "incorpor": [97, 100, 1408, 1436], "ismag": [97, 762, 1420, 1429], "me": [97, 1402], "roadmap": [97, 106, 1421, 1422], "linear": [97, 111, 113, 133, 143, 218, 281, 297, 302, 303, 304, 309, 310, 314, 324, 326, 340, 345, 380, 407, 408, 425, 490, 517, 616, 621, 688, 1111, 1139, 1141, 1186, 1188, 1275, 1281, 1282, 1283, 1292, 1331, 1410, 1411, 1414, 1415, 1420], "algebra": [97, 111, 314, 382, 387, 1272, 1281, 1292, 1331, 1404, 1411, 1414, 1415], "nxep": [97, 108, 110, 1412, 1421, 1425], "govern": [97, 99, 110, 1421], "slice": [97, 99, 108, 1422], "builder": [97, 99, 1157, 1329, 1422], "frequent": [98, 380, 677], "newcom": [98, 110, 1332], "few": [98, 101, 102, 104, 364, 1411, 1413, 1420, 1421, 1422, 1423], "known": [98, 228, 281, 294, 302, 303, 304, 309, 310, 324, 348, 371, 426, 452, 470, 620, 742, 743, 744, 745, 764, 793, 1071, 1100, 1151, 1154, 1206, 1207, 1230, 1234, 1236, 1238, 1253, 1278, 1330, 1387, 1421], "Of": [98, 1436], "sprint": [98, 1434], "permiss": [98, 111, 112, 459], "forget": 98, "sai": [98, 100, 102, 212, 514, 519, 520, 677, 678, 764, 1212, 1420], "rememb": [98, 102], "stick": [98, 1403], "plot_circular_layout": 98, "perhap": [98, 100, 103, 108], "deal": [98, 103], "worri": [98, 585, 1302, 1332], "ipython": 98, "field": [98, 100, 593, 595, 772, 1101, 1102, 1105, 1198], "breviti": 98, "offici": [98, 100, 1411, 1436], "inclus": [98, 100, 110, 221, 536, 546, 731, 733, 1127, 1194, 1220], "criteria": [98, 1434], "addit": [98, 100, 101, 104, 108, 112, 116, 185, 352, 425, 478, 536, 546, 547, 736, 738, 763, 793, 798, 875, 918, 949, 957, 982, 995, 1001, 1039, 1040, 1042, 1043, 1091, 1120, 1201, 1278, 1302, 1308, 1332, 1351, 1354, 1355, 1356, 1389, 1390, 1391, 1404, 1412, 1413, 1414, 1415, 1416, 1422, 1423, 1434, 1436], "fit": [98, 111, 1332], "enhanc": [99, 100, 108, 343, 510, 1302, 1421, 1434], "berkelei": [100, 101, 104, 620, 621], "stand": [100, 547, 1395], "primari": [100, 104, 1423], "gone": 100, "concis": [100, 111, 793, 1422, 1423], "rational": 100, "consensu": [100, 101], "dissent": 100, "opinion": [100, 101, 105], "revis": [100, 446, 734], "track": [100, 102, 103, 104, 105, 108, 116, 372, 389, 391, 392, 396, 600, 1302, 1308, 1415, 1420, 1421], "codebas": [100, 1302, 1413, 1414, 1421, 1434], "meta": [100, 107], "inject": 100, "repo": [100, 107, 1422, 1434], "success": [100, 316, 332, 498, 610, 694, 1186, 1248, 1436], "tend": [100, 595, 1181, 1332], "doubt": [100, 1436], "champion": 100, "attempt": [100, 102, 195, 203, 205, 283, 285, 286, 287, 288, 289, 363, 364, 379, 427, 428, 586, 694, 695, 696, 788, 885, 892, 893, 924, 928, 929, 967, 974, 975, 1007, 1011, 1012, 1044, 1125, 1231, 1243, 1244, 1308, 1339, 1353, 1377, 1402, 1403, 1415, 1420, 1421, 1430, 1434], "ascertain": 100, "suitabl": [100, 111, 661, 695, 696, 1171, 1365, 1369, 1371, 1393, 1398], "draft": [100, 103, 104, 105, 1420, 1421, 1422, 1425, 1434], "0000": 100, "backward": [100, 218, 1205, 1411, 1413, 1415], "compat": [100, 431, 498, 693, 1308, 1413, 1414, 1415, 1421, 1423], "impact": [100, 101, 108, 331, 798, 1040, 1042, 1043], "broader": 100, "scope": [100, 108, 1045, 1048, 1127, 1128, 1129, 1422], "earliest": [100, 467], "conveni": [100, 102, 153, 499, 503, 506, 507, 510, 617, 798, 856, 901, 937, 983, 1040, 1041, 1042, 1043, 1129, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1276, 1302, 1332, 1403, 1414, 1418, 1436], "expand": [100, 102, 375, 655, 1041, 1196, 1331, 1404, 1415, 1416, 1417, 1422, 1433, 1434], "prototyp": 100, "sound": 100, "principl": [100, 101, 104, 133], "impract": 100, "wip": [100, 1416, 1417, 1421], "stabil": [100, 336, 337, 683, 685], "provision": 100, "short": [100, 105, 162, 228, 1041, 1069, 1201, 1415], "unlik": [100, 101, 213, 368, 427, 428, 1391], "reject": [100, 101, 105, 1325], "withdrawn": [100, 105], "wherev": [100, 1288], "defer": [100, 102, 105, 281], "challeng": 100, "wider": 100, "done": [100, 102, 103, 231, 232, 250, 375, 442, 468, 519, 566, 568, 616, 692, 764, 1049, 1225, 1302, 1332, 1413], "fact": [100, 354, 462, 621, 1213, 1216, 1413], "actual": [100, 116, 133, 166, 211, 214, 215, 216, 217, 221, 289, 387, 452, 579, 627, 694, 719, 720, 864, 909, 945, 991, 1105, 1106, 1205, 1302, 1330, 1332, 1411, 1425], "compet": [100, 585], "accordingli": [100, 456, 1113, 1416, 1434], "supersed": [100, 105], "render": [100, 106, 217, 412, 415, 1415], "obsolet": [100, 268, 1343, 1415, 1416], "never": [100, 185, 390, 610, 875, 918, 957, 1001, 1242], "meant": [100, 292, 293, 633, 1223, 1332, 1422, 1426], "concret": [100, 101], "think": [100, 103, 231, 232, 300, 763, 1436], "bodi": [100, 1249], "briefli": 100, "sentenc": [100, 101], "substant": 100, "pipermail": 100, "2018": [100, 316, 332, 439, 762, 1415, 1417, 1418], "june": [100, 693, 1261, 1407, 1411, 1415, 1428, 1429], "078345": 100, "verg": 100, "chanc": [100, 231, 1240, 1302], "period": [100, 1217, 1218, 1219, 1221, 1303, 1412, 1415, 1421], "beyond": [100, 108, 385, 1216, 1242], "fine": 100, "shouldn": [100, 103], "rigid": 100, "compromis": 100, "followup": [100, 1422], "notifi": [100, 1423], "celebratori": 100, "emoji": 100, "again": [100, 430, 763, 1223, 1412, 1416, 1420, 1425], "unusu": [100, 1402], "disagr": [100, 101], "escal": [100, 101], "controversi": [100, 108], "ultim": 100, "practic": [100, 211, 221, 483, 484, 496, 621, 655, 1334, 1414], "precis": [100, 313, 570, 574, 583, 1275, 1404, 1418], "natur": [100, 103, 110, 378, 445, 468, 587, 589, 620, 755, 1160, 1223, 1231, 1247, 1302, 1332, 1402, 1419], "utf": [100, 268, 269, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1350, 1361, 1364, 1374, 1377, 1378, 1381, 1382, 1395, 1415], "restructuredtext": 100, "restructuredtextprim": 100, "dd": [100, 105, 1097], "mmm": 100, "yyyi": [100, 105], "dom": 100, "ain": 100, "separ": [100, 103, 106, 107, 153, 158, 159, 196, 215, 216, 259, 266, 267, 268, 269, 300, 323, 345, 429, 430, 456, 466, 760, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1048, 1115, 1119, 1199, 1201, 1222, 1331, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1375, 1376, 1377, 1378, 1404, 1415, 1416, 1421, 1422, 1434, 1436], "older": 100, "brows": 100, "colgat": [101, 111], "deadlock": 101, "websit": [101, 107, 1171, 1390, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "ongo": [101, 1414], "trust": [101, 1389, 1391], "cast": [101, 102, 1421, 1431], "vote": [101, 339, 1421], "therebi": 101, "adher": 101, "nomin": 101, "lazi": [101, 327, 1289, 1290], "unanim": 101, "agreement": [101, 1208], "initi": [101, 103, 142, 231, 232, 283, 316, 325, 326, 340, 375, 379, 380, 468, 497, 513, 514, 527, 537, 617, 694, 721, 735, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1105, 1108, 1111, 1120, 1191, 1192, 1193, 1194, 1229, 1233, 1240, 1284, 1285, 1302, 1308, 1329, 1403, 1404, 1415, 1420, 1421, 1422, 1423], "voic": 101, "smooth": 101, "strateg": 101, "plan": [101, 106, 1403, 1414, 1416, 1422], "fund": [101, 1423, 1434], "theirs": 101, "pursu": 101, "pictur": [101, 1127, 1128, 1129], "perspect": [101, 105, 1201, 1332], "timefram": 101, "entiti": [101, 1351, 1354, 1355, 1356, 1390, 1436], "occasion": [101, 231], "seek": [101, 764, 1358, 1360, 1384, 1386, 1395], "tri": [101, 113, 345, 382, 933, 979, 1042, 1043, 1181, 1187, 1231, 1243, 1244, 1413], "distinguish": [101, 936, 965, 982, 1005, 1043], "fundament": [101, 108, 111, 340, 451, 620, 621, 1223, 1422], "flaw": 101, "forward": [101, 106, 218, 452, 713, 719, 720], "typo": [101, 1405, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1430, 1434], "land": 101, "outlin": [101, 250, 338, 464, 1416], "templat": [101, 1422], "taken": [101, 102, 146, 149, 208, 445, 452, 719, 720, 751, 763, 894, 930, 976, 1013, 1120, 1418], "suffici": [101, 102, 1332], "scikit": [101, 104, 110], "expos": [102, 376, 1414], "nodeview": [102, 185, 393, 600, 601, 603, 604, 605, 606, 697, 875, 918, 957, 1001, 1039, 1091, 1355, 1368, 1413, 1416], "nodedataview": [102, 185, 393, 593, 594, 602, 875, 918, 957, 1001, 1223, 1436], "edgeview": [102, 592, 593, 594, 600, 601, 602, 603, 604, 605, 606, 614, 626, 772, 912, 1039, 1091, 1101, 1413, 1422], "edgedataview": [102, 169, 190, 867, 880, 912, 948, 962, 994, 1101, 1223, 1368, 1421, 1436], "semant": [102, 533, 543, 764, 1412, 1414], "inher": [102, 221, 429], "impli": [102, 111, 133, 221, 313, 315, 329, 457, 468, 513, 514, 547, 1302], "element": [102, 103, 231, 232, 271, 292, 293, 312, 352, 373, 393, 459, 466, 520, 561, 562, 580, 581, 582, 588, 642, 658, 673, 675, 677, 679, 730, 732, 741, 751, 754, 1039, 1041, 1051, 1052, 1053, 1054, 1090, 1091, 1141, 1143, 1179, 1212, 1217, 1218, 1223, 1243, 1244, 1246, 1255, 1278, 1283, 1284, 1285, 1288, 1293, 1294, 1302, 1308, 1309, 1317, 1324, 1329, 1361, 1364, 1367, 1368, 1414], "intend": [102, 105, 108, 112, 329, 569, 1041, 1045, 1275, 1302, 1402], "impos": [102, 104, 547, 793], "due": [102, 103, 110, 232, 265, 442, 583, 585, 628, 629, 1223, 1414, 1421, 1423, 1432, 1434], "bit": [102, 210, 212, 213, 455, 513, 514, 788, 1351, 1354, 1355, 1356, 1390, 1420, 1434], "lot": [102, 106, 454, 1332, 1414], "screen": 102, "instinct": 102, "error": [102, 103, 153, 158, 159, 196, 281, 289, 297, 312, 325, 416, 424, 473, 474, 475, 476, 477, 491, 499, 503, 506, 507, 510, 558, 559, 560, 566, 568, 583, 586, 655, 662, 669, 677, 678, 798, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1040, 1046, 1120, 1150, 1405, 1410, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1426, 1428, 1434], "definit": [102, 133, 236, 239, 244, 290, 292, 293, 304, 324, 344, 358, 400, 437, 439, 466, 469, 551, 552, 553, 610, 620, 621, 622, 627, 678, 687, 689, 702, 737, 739, 793, 1198, 1199, 1203, 1223, 1241, 1293, 1332, 1415, 1422, 1436], "coupl": [102, 103, 133, 1263, 1411, 1413], "realis": 102, "But": [102, 103, 108, 144, 171, 239, 244, 257, 278, 279, 282, 298, 299, 585, 798, 868, 913, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1042, 1043, 1097, 1334, 1402, 1434], "seem": [102, 103, 299, 308, 793, 1240], "eas": [102, 108, 1418], "idiom": [102, 160, 191, 201, 860, 881, 890, 905, 941, 963, 972, 987, 1302, 1403, 1413, 1420], "subscript": [102, 152, 160, 201, 798, 855, 860, 890, 900, 905, 936, 941, 972, 982, 987, 1040, 1042, 1043, 1403, 1436], "repr": [102, 1353, 1422], "4950": [102, 1423], "traceback": [102, 452, 466, 586, 654, 660, 1308, 1309], "recent": [102, 439, 452, 466, 586, 654, 660, 966, 1006, 1308, 1309, 1420], "typeerror": [102, 384, 466, 1212, 1308, 1413], "opaqu": 102, "ambigu": [102, 104, 116, 253, 254, 466, 764, 1046, 1415], "ambigi": 102, "counter": [102, 154, 359], "nativ": [102, 110], "caveat": 102, "nodes_it": [102, 1413, 1416], "toward": [102, 687, 1416, 1422, 1434], "inner": [102, 231, 232, 382, 798, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1042, 1043, 1089], "synonym": 102, "primarili": [102, 1436], "becam": [102, 1420], "concept": [102, 133, 221, 311, 429, 690, 1046], "intuit": [102, 110], "On": [102, 106, 157, 218, 295, 298, 299, 307, 308, 316, 382, 407, 408, 516, 517, 520, 595, 857, 902, 938, 984, 1186, 1208, 1230, 1234, 1238], "front": [102, 621, 1039, 1091], "constuct": 102, "indx": 102, "desir": [102, 103, 143, 144, 205, 348, 349, 424, 427, 428, 600, 631, 649, 893, 975, 1088, 1097, 1105, 1106, 1108, 1127, 1128, 1156, 1158, 1163, 1165, 1166, 1169, 1171, 1193, 1224, 1226, 1227, 1240, 1287, 1362, 1363, 1423, 1436], "prelimanari": 102, "impelement": 102, "4086": 102, "rid": [102, 1422], "getitem": 102, "dunder": [102, 108, 1302, 1422], "isinst": [102, 104, 466, 1089, 1420, 1421, 1422], "_node": [102, 1431], "exclus": [102, 451, 478], "necess": 102, "unhash": [102, 1413], "impel": 102, "insipir": 102, "colon": [102, 1430], "syntax": [102, 103, 172, 798, 869, 914, 950, 996, 1040, 1042, 1043, 1129, 1302, 1390, 1391, 1419, 1421], "introspect": 102, "neither": [102, 111, 306, 429, 627, 637, 638, 673, 674, 675, 676, 678, 702, 750], "downsid": 102, "drawback": 102, "discover": 102, "complic": [102, 1302, 1332], "nix": 102, "background": 102, "pertain": 102, "arguabl": [102, 103], "overrid": [102, 673, 674, 675, 676, 1127, 1128, 1129, 1420], "mix": [102, 237, 238, 239, 242, 243, 244, 245, 246, 249, 447, 760, 1103, 1347, 1348, 1350, 1361, 1362, 1363, 1364, 1389, 1391, 1402, 1415, 1416, 1420], "pervas": 102, "unforeseen": 102, "preced": [102, 153, 158, 466, 600, 705, 856, 858, 901, 903, 937, 939, 983, 985, 1048, 1369, 1370], "un": [102, 466, 734, 1416, 1422], "sliceabl": 102, "notabl": [102, 1045], "dict_kei": [102, 1309, 1423], "dict_valu": [102, 381, 1413, 1422], "cpython": [102, 108, 431, 498, 1041, 1411, 1422], "consider": [102, 104, 325, 326, 348, 349, 355, 527, 537, 557, 673, 674, 675, 676, 734, 762, 1174, 1422], "cours": [102, 106, 218, 620, 1332, 1436], "action": [102, 107, 1045, 1422, 1426, 1434], "allevi": 102, "dig": 102, "enough": [102, 470, 511, 1171, 1387], "satisfactorili": 102, "reconsid": [102, 1421], "went": [102, 504], "ahead": 102, "4300": [102, 1422], "4304": [102, 1422], "path_edg": 103, "former": [103, 104, 793], "stylist": 103, "creation": [103, 108, 111, 250, 276, 790, 1160, 1176, 1230, 1234, 1236, 1238, 1331, 1408, 1413, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "cleaner": [103, 1410, 1415], "creativ": [103, 466, 468], "demand": [103, 498, 499, 503, 506, 507, 510], "had": [103, 654, 1223, 1302, 1418, 1425], "node_iter": 103, "isn": [103, 348, 349, 722, 1337, 1340, 1415, 1423, 1434], "leav": [103, 232, 390, 502, 510, 586, 587, 588, 589, 680, 1151, 1161, 1302, 1413, 1418, 1436], "dg": [103, 208, 323, 457, 458, 459, 460, 461, 463, 464, 466, 467, 468, 469, 470, 471, 894, 930, 976, 1013, 1044, 1413, 1436], "mdg": [103, 208, 894, 930, 976, 1013, 1429], "customgraph": 103, "elist": [103, 1332], "isol": [103, 357, 382, 437, 493, 494, 524, 526, 623, 737, 739, 760, 1224, 1331, 1336, 1407, 1410, 1415, 1416, 1426], "ekei": [103, 208, 894, 930, 936, 976, 982, 1013, 1087, 1107], "protocol": [103, 1413], "hashabl": [103, 145, 152, 157, 172, 181, 268, 547, 548, 549, 550, 763, 798, 855, 857, 869, 873, 900, 902, 914, 916, 936, 938, 949, 950, 954, 965, 982, 984, 995, 996, 998, 1005, 1040, 1041, 1042, 1043, 1090, 1213, 1284, 1285, 1301, 1316, 1330, 1332, 1339, 1343, 1344, 1436], "logic": [103, 104, 221, 762, 764, 1304, 1415, 1416, 1428, 1434], "denot": [103, 115, 213, 220, 300, 301, 323, 569, 570, 571, 572, 573, 574, 575, 610, 621, 689, 690, 691, 692, 693, 1127, 1128, 1129, 1180], "multiedg": [103, 555, 936, 982, 1042, 1043, 1088, 1332, 1362, 1363, 1402, 1415, 1421, 1423], "attrdict": [103, 158, 858, 903, 939, 985, 1415], "edge_kei": [103, 491, 1042, 1043, 1103, 1107, 1422], "networkxinvalidedgelist": 103, "flexibl": [103, 111, 469, 1332, 1390, 1391, 1404, 1410, 1415, 1416, 1420, 1436], "wheel": [103, 107, 1169, 1267, 1420, 1430, 1434], "spoke": 103, "wheel_graph": [103, 343, 673, 674, 676], "star": [103, 261, 301, 617, 628, 629, 781, 1057, 1157, 1166, 1229, 1233, 1403, 1413, 1415, 1416, 1420], "mycustomgraph": 103, "configuration_model_graph": 103, "deg_sequ": [103, 517, 519, 520, 1181, 1182, 1183, 1184, 1186, 1228], "graph_build": 103, "py_random_st": [103, 104, 1302, 1305, 1414, 1434], "extended_barabasi_albert_graph": 103, "node_and_edge_build": 103, "ladder_graph": 103, "incompat": [103, 1205, 1411, 1412, 1415], "thrust": 103, "incept": 103, "attach": [103, 215, 275, 359, 571, 573, 623, 1039, 1091, 1125, 1188, 1191, 1229, 1233, 1235, 1332, 1436], "presum": [103, 1303], "rewritten": [103, 1404, 1411, 1415], "gradual": 103, "accomplish": [103, 110, 1171], "wrap": [103, 1048, 1050, 1127, 1129, 1302, 1307, 1310], "custom_graph": 103, "ichain": 103, "tripl": [103, 115, 250, 251, 713, 1420], "overli": 103, "empty_graph": [103, 755, 1060, 1164, 1303, 1329, 1415, 1418, 1419], "3036": 103, "1393": 103, "canon": [103, 686, 732, 1421], "huge": 103, "path_edgelist": 103, "disallow": [103, 798, 1040, 1042, 1043, 1193, 1426], "2022": [104, 106, 695, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433], "pseudo": [104, 105, 678, 1326, 1327, 1414, 1416], "nep19": 104, "legaci": [104, 1404, 1411, 1417], "randomst": [104, 1103, 1114, 1120, 1305, 1307, 1310, 1311, 1334, 1414, 1418], "statist": [104, 111, 129, 275, 360, 385, 387, 440, 1228, 1334, 1414], "strategi": [104, 124, 223, 364, 368, 372, 455], "engin": [104, 108, 731, 733, 1421], "modern": [104, 111, 1414], "prng": 104, "np_random_st": [104, 1307, 1414, 1423], "random_st": [104, 209, 214, 218, 223, 224, 228, 231, 232, 272, 273, 275, 276, 297, 298, 307, 370, 375, 379, 380, 382, 383, 591, 627, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 740, 749, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1216, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1302, 1305, 1307, 1310, 1311, 1325, 1334, 1423, 1434], "mtrand": 104, "12345": [104, 1307, 1414], "rng": [104, 1044, 1103, 1305, 1307, 1334, 1414, 1418], "default_rng": [104, 1044, 1414, 1423], "_gener": 104, "stream": [104, 1414], "slight": 104, "guarante": [104, 128, 134, 185, 211, 216, 217, 236, 282, 312, 340, 382, 424, 467, 499, 503, 506, 507, 510, 513, 514, 551, 552, 553, 566, 568, 591, 655, 662, 669, 724, 730, 732, 875, 918, 957, 1001, 1103, 1122, 1123, 1126, 1187, 1247, 1300, 1414], "upheld": 104, "exact": [104, 126, 211, 216, 217, 239, 270, 272, 274, 277, 673, 674, 675, 676, 693, 782, 1181, 1183, 1228, 1411, 1414], "instanti": [104, 1302, 1403, 1436], "num": 104, "uniform": [104, 567, 568, 627, 740, 1187, 1199, 1211, 1242, 1245, 1325, 1418, 1421], "92961609": 104, "31637555": 104, "18391881": 104, "20456028": 104, "56772503": 104, "5955447": 104, "96451452": 104, "6531771": 104, "74890664": 104, "65356987": 104, "22733602": 104, "31675834": 104, "79736546": 104, "67625467": 104, "39110955": 104, "33281393": 104, "59830875": 104, "18673419": 104, "67275604": 104, "94180287": 104, "recov": [104, 359, 731, 733, 1278, 1353, 1354, 1355, 1411, 1414, 1429], "create_random_st": [104, 1305], "randint": [104, 1103], "create_py_random_st": [104, 1307, 1421, 1425], "attributeerror": 104, "compatibl": 104, "pythonrandominterfac": [104, 1307, 1310], "_rand": 104, "implicitli": 104, "16988": 104, "14042": 104, "higher": [104, 259, 298, 300, 305, 307, 315, 317, 321, 322, 323, 329, 330, 333, 380, 522, 523, 618, 705, 1063, 1191, 1240], "constraint": [104, 618, 690, 691, 695, 696, 760, 793, 1422], "releat": 104, "slep": 104, "quit": [104, 468, 1085, 1171, 1240, 1402, 1436], "encapsul": 104, "valueerror": [104, 227, 281, 348, 349, 385, 424, 427, 428, 472, 586, 596, 597, 598, 599, 610, 634, 635, 637, 638, 662, 663, 664, 688, 751, 754, 1105, 1110, 1117, 1119, 1120, 1191, 1212, 1280, 1309, 1317, 1325, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1359, 1360, 1385, 1422], "captur": [104, 1422], "reorgan": [104, 1422], "quo": 104, "perpetu": [104, 333], "toggl": 104, "backend": [104, 1014, 1331, 1422, 1434], "pkg": 104, "_random_backend": 104, "bullet": [104, 105, 1421], "regard": [104, 105, 106, 1413, 1417, 1421], "mm": 105, "achiev": [105, 302, 303, 309, 310, 382, 514, 1413, 1436], "elong": 105, "solv": [105, 113, 228, 281, 326, 415, 417, 419, 510, 591, 673, 674, 675, 676, 1046, 1306, 1329, 1404, 1422, 1423, 1426, 1430, 1432, 1433], "mainli": [105, 1411], "wouldn": 105, "Its": [105, 211, 375, 547, 1223, 1262, 1391], "technologi": [105, 108, 428], "prior": [105, 111, 654, 1126, 1414], "art": [105, 1232, 1308], "omit": [105, 513, 1061, 1413], "phase": [105, 382, 383, 512, 1241, 1411], "chosen": [105, 234, 235, 273, 368, 379, 452, 694, 696, 712, 713, 714, 715, 716, 717, 719, 720, 1181, 1188, 1189, 1190, 1191, 1192, 1201, 1205, 1210, 1232, 1235, 1237, 1239, 1243, 1244, 1279, 1325], "outreachi": 106, "abstract": [106, 328, 429, 430, 621], "varieti": [106, 777], "elucid": 106, "experiment": [106, 218, 496, 1041, 1215, 1402, 1415, 1434, 1436], "deeper": 106, "outlook": 106, "delv": 106, "topic": [106, 1223], "skill": 106, "medium": 106, "175": [106, 1257], "350": 106, "durat": [106, 1334, 1429], "hasn": 106, "flexibli": 106, "chace": 106, "substanti": [106, 1402, 1415], "headwai": 106, "road": 106, "refin": [106, 144, 216, 425, 440], "hr": 106, "sandia": 106, "lab": [106, 1142], "java": 106, "routin": [106, 117, 181, 345, 357, 561, 562, 579, 762, 873, 916, 954, 998, 1045, 1094, 1332, 1404, 1405, 1413, 1415, 1420, 1421, 1422], "incant": 106, "vf2": [106, 547, 557, 760, 763, 1415, 1416, 1420, 1434], "kpetridis24": 106, "gsoc": [106, 1412], "louvain": [106, 382, 383, 760, 1423, 1430], "2021": [106, 608, 1422, 1423], "asadpour": [106, 113, 228, 1423], "acycl": [106, 345, 384, 393, 456, 457, 459, 460, 461, 462, 464, 465, 466, 467, 468, 470, 471, 577, 620, 621, 680, 760, 793, 1278, 1331, 1404, 1415, 1416, 1423], "assort": [106, 237, 242, 245, 249, 760, 1047, 1331, 1408, 1415, 1422, 1423], "dinitz": [106, 760, 1416, 1423, 1433], "meti": 106, "2015": [106, 211, 221, 354, 382, 425, 427, 429, 621, 672, 673, 674, 675, 676, 677, 1241, 1286, 1404, 1415, 1416], "orkohunt": 106, "cleanup": [107, 1415, 1420, 1422, 1423, 1429, 1434], "contrib": [107, 1421, 1435], "scan": [107, 724], "mention": [107, 316, 332, 470, 1101, 1102, 1104, 1416, 1417], "release_": 107, "release_templ": 107, "banner": [107, 1421, 1424], "rm": [107, 1417, 1421, 1422, 1423, 1425, 1426, 1434], "_templat": 107, "__version__": [107, 1413], "id": [107, 331, 333, 425, 427, 753, 798, 1040, 1042, 1043, 1048, 1208, 1213, 1214, 1245, 1347, 1348, 1350, 1351, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1420, 1421], "sign": [107, 358, 1282, 1288, 1417, 1422], "gpg": 107, "debian": 107, "pin": [107, 1422, 1423, 1434], "badg": [107, 1420, 1422], "readm": [107, 1415, 1416, 1417, 1420, 1421, 1422, 1434], "svg": 107, "queri": [107, 143, 144, 425, 788, 1039, 1073, 1075, 1091, 1332, 1403, 1406, 1409, 1415], "3anetworkx": 107, "pypi": [107, 108, 112, 431, 498, 1408, 1411, 1415, 1420, 1422], "fxd": 107, "sdist": 107, "twine": 107, "unpin": [107, 1422], "restor": [107, 1405, 1415, 1420], "wait": [107, 380], "deploi": [107, 1416, 1422, 1427, 1430], "sync": [107, 1434], "fixm": 107, "eol_bann": 107, "cp": [107, 1208], "reset": [107, 1431, 1434], "mv": 107, "ln": [107, 228], "sfn": 107, "stabl": [107, 108, 213, 1367, 1368, 1423], "dev_bann": 107, "endblock": 107, "bump": [107, 1402, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "frontpag": 107, "webpag": 107, "headach": 107, "edit": [107, 111, 673, 674, 675, 676, 782, 1198, 1232, 1266, 1308, 1415, 1416, 1417, 1421], "_static": 107, "docvers": 107, "googlegroup": 107, "month": [108, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1434], "smaller": [108, 116, 300, 312, 382, 383, 385, 386, 387, 444, 446, 788, 1173, 1174, 1178, 1243, 1244, 1403, 1415], "tricki": [108, 298, 299, 1041], "barrier": 108, "onboard": 108, "attract": [108, 113, 390, 395, 403, 760, 1120, 1415], "pathwai": 108, "grow": [108, 111, 153, 159, 856, 859, 901, 904, 937, 940, 983, 986, 1171, 1181, 1188, 1189, 1190, 1235, 1240, 1329], "leadership": 108, "benefici": 108, "domain": [108, 677, 1199, 1202, 1203, 1204, 1205, 1405], "airspe": 108, "veloc": 108, "asv": 108, "en": [108, 113, 121, 122, 133, 212, 227, 231, 283, 284, 294, 342, 343, 427, 456, 471, 478, 485, 486, 490, 492, 568, 592, 678, 697, 698, 706, 712, 721, 734, 735, 763, 769, 784, 1212, 1225, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1367, 1368], "acceler": 108, "difficulti": [108, 112], "trivial": [108, 217, 250, 412, 415, 429, 464, 469, 1167, 1223], "helper": [108, 126, 680, 762, 1331, 1411, 1415, 1421, 1423, 1425], "geneticist": 108, "neuroscientist": 108, "refactor": [108, 1404, 1413, 1415, 1416, 1421, 1422, 1423, 1432, 1434], "csgraph": 108, "__array_function__": 108, "__array_ufunc__": 108, "dask": 108, "gpu": 108, "cupi": 108, "moment": 108, "gain": [108, 113, 216, 223, 382, 383, 1402], "seamlessli": 108, "exchang": [108, 145, 223, 231, 232, 694, 695, 1347, 1348, 1350, 1389, 1395], "nodes_and_edg": 108, "cull": 110, "thorough": 110, "clarifi": [110, 764, 1416, 1422, 1434], "conceptu": [110, 133, 300, 323], "promot": [110, 111], "educ": [110, 1308], "driven": [110, 1275], "pure": [110, 133, 1041, 1287, 1414], "amaz": 110, "capabl": [110, 763, 782, 1160, 1351, 1354, 1355, 1356, 1390], "pedagogi": 110, "trade": 110, "justifi": 110, "ounc": 110, "alik": 110, "prevent": [110, 510, 576, 1066, 1143, 1421], "slowdown": [110, 1430, 1434], "fold": [110, 314, 1403], "rapid": 111, "multidisciplinari": [111, 464], "fortran": [111, 1105, 1284], "painlessli": 111, "nonstandard": 111, "classic": [111, 344, 364, 1331, 1332, 1404, 1416, 1422], "daniel": [111, 297, 302, 303, 304, 309, 310, 324, 1417, 1418, 1420, 1421, 1423], "proceed": [111, 133, 317, 347, 354, 570, 574, 576, 592, 672, 677, 678, 692, 734, 1174, 1192, 1245], "7th": 111, "scipy2008": 111, "g\u00e4el": 111, "varoquaux": 111, "travi": [111, 1416, 1417, 1420, 1421, 1422], "vaught": 111, "ed": [111, 258, 259, 260, 287, 289, 679, 680, 753, 1088, 1129, 1185, 1199, 1209, 1261, 1266], "pasadena": 111, "pp": [111, 133, 228, 275, 279, 297, 302, 303, 304, 309, 310, 312, 313, 324, 345, 347, 381, 388, 454, 455, 496, 500, 515, 516, 517, 518, 519, 520, 557, 593, 608, 672, 677, 678, 682, 692, 740, 762, 764, 772, 1181, 1184, 1185, 1186, 1199, 1207, 1208, 1209, 1223, 1229, 1231, 1245, 1247, 1274, 1292, 1294, 1298], "aug": 111, "2008": [111, 261, 262, 263, 290, 298, 299, 307, 308, 316, 344, 348, 349, 360, 373, 374, 382, 383, 610, 621, 686, 693, 1171, 1194, 1293, 1402, 1415], "bibtex": 111, "physicist": 111, "biologist": 111, "scientist": 111, "ba02": 111, "newman03": 111, "dorogovtsev": [111, 436, 1159], "mend": [111, 436, 1159], "dm03": 111, "bollobas01": 111, "diestel97": 111, "west01": [111, 472], "theoret": [111, 113, 297, 302, 303, 304, 309, 310, 324, 331, 348, 349, 443, 447, 448, 464, 500, 700, 701, 1436], "terminologi": [111, 133, 649], "sedgewick": [111, 679, 680, 1266], "sedgewick01": 111, "sedgewick02": 111, "brand": [111, 276, 297, 298, 299, 302, 303, 304, 307, 308, 309, 310, 316, 324, 331, 414, 433, 618, 753, 1174, 1236, 1415], "erlebach": [111, 414, 433, 753], "be05": 111, "vibrant": 111, "martelli": 111, "martelli03": 111, "claus": [111, 1302, 1422], "bsd": 111, "copyright": [111, 1416, 1417, 1421, 1434], "2004": [111, 214, 240, 241, 250, 264, 275, 343, 348, 349, 364, 385, 387, 496, 522, 523, 569, 572, 573, 590, 594, 618, 620, 683, 706, 708, 709, 710, 762, 764, 1209], "reserv": [111, 1403], "redistribut": 111, "permit": [111, 171, 868, 913], "met": [111, 673, 675], "notic": [111, 300, 321, 323, 389, 391, 392, 1277, 1329, 1436], "disclaim": 111, "endors": 111, "deriv": [111, 325, 326, 340, 414, 433, 451], "BY": 111, "THE": 111, "holder": 111, "AS": [111, 1208, 1331, 1420], "warranti": 111, "BUT": [111, 750], "TO": 111, "OF": 111, "merchant": 111, "FOR": 111, "IN": 111, "NO": 111, "shall": 111, "owner": 111, "BE": 111, "liabl": 111, "indirect": [111, 678], "incident": 111, "exemplari": 111, "consequenti": 111, "damag": 111, "procur": 111, "substitut": [111, 673, 674, 675, 676], "loss": [111, 1422], "profit": 111, "busi": [111, 220, 381], "interrupt": 111, "caus": [111, 166, 259, 294, 295, 300, 424, 499, 503, 506, 507, 510, 581, 600, 655, 662, 669, 740, 864, 909, 945, 991, 1041, 1150, 1301, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1422], "ON": 111, "liabil": 111, "tort": 111, "neglig": [111, 654, 665], "IF": 111, "SUCH": 111, "74": [111, 387, 457, 1274], "ab": [111, 129, 301, 334, 335, 357, 360, 373, 374, 387, 388, 434, 435, 439, 445, 590, 627, 687, 1175, 1176, 1177, 1191, 1199, 1205, 1275, 1278], "cond": [111, 334, 335, 387, 627, 687, 1159], "mat": [111, 334, 335, 387, 516, 519, 520, 627, 687, 1159, 1223, 1420], "0106096": 111, "bollob\u00e1": [111, 1192, 1241, 1415], "cambridg": [111, 133, 300, 590, 690, 1198], "2001": [111, 215, 216, 217, 220, 221, 222, 285, 298, 299, 307, 308, 328, 331, 483, 484, 487, 488, 489, 557, 679, 680, 700, 701, 764, 1161, 1175, 1183, 1188, 1190, 1198, 1210, 1308, 1416], "methodolog": [111, 414, 433, 753], "3418": [111, 414, 433], "verlag": [111, 297, 302, 303, 304, 309, 310, 324, 414, 433, 481, 1046, 1196, 1325, 1326, 1327], "2005": [111, 113, 276, 291, 297, 302, 303, 304, 309, 310, 324, 334, 335, 347, 358, 360, 378, 414, 433, 439, 686, 687, 721, 735, 753, 1193, 1199, 1236, 1289, 1290, 1415, 1416], "diestel": 111, "1997": [111, 446, 1232, 1292, 1308, 1326, 1327, 1416], "evolut": [111, 1211], "2003": [111, 129, 221, 237, 242, 245, 249, 429, 434, 435, 496, 519, 593, 694, 772, 1174, 1181, 1192, 1202, 1245], "nutshel": 111, "media": [111, 220], "inc": [111, 133, 734, 1223, 1326, 1327], "siam": [111, 279, 316, 332, 345, 407, 408, 454, 455, 502, 516, 517, 520, 595, 1181, 1186, 1192], "167": [111, 239, 1181], "epub": 111, "1137": [111, 279, 454, 455, 496], "s003614450342480": 111, "addison": [111, 466, 468, 679, 680, 762, 1232], "weslei": [111, 466, 468, 679, 680, 762, 1232], "profession": [111, 679, 680], "3rd": [111, 514, 557, 679, 680, 764, 1045, 1266], "prentic": 111, "hall": [111, 516, 520], "2nd": [111, 1045, 1217, 1421], "virtual": [112, 788], "upgrad": [112, 1421, 1423], "newer": [112, 1421], "flag": [112, 1421, 1429], "systemwid": 112, "uninstal": 112, "homepag": [112, 621, 1398, 1422], "lxml": [112, 1364], "xml": [112, 1347, 1348, 1350, 1353, 1361, 1364, 1389, 1391, 1420, 1422, 1436], "shell": [112, 437, 438, 440, 1117, 1146, 1246, 1406, 1415, 1420, 1421, 1436], "prompt": 112, "namespac": [113, 116, 126, 270, 271, 272, 273, 274, 275, 276, 277, 413, 414, 418, 419, 496, 500, 501, 511, 512, 772, 1401, 1404, 1405, 1408, 1411, 1413, 1416, 1421, 1422, 1423], "easiest": [113, 116, 1041, 1332], "function_nam": 113, "metric": [113, 226, 227, 298, 304, 324, 677, 678, 687, 754, 760, 1199, 1200, 1202, 1203, 1204, 1205, 1331, 1415, 1416, 1417, 1422, 1429, 1434], "wikipedia": [113, 121, 122, 133, 212, 213, 227, 231, 283, 284, 294, 342, 343, 427, 456, 471, 478, 485, 486, 490, 492, 590, 592, 678, 697, 698, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 734, 763, 769, 784, 1212, 1220, 1225, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1277, 1329], "greedi": [113, 223, 230, 231, 232, 233, 332, 364, 368, 385, 386, 724, 1404, 1416], "simul": [113, 230, 231, 232, 333, 694, 1120], "anneal": [113, 230, 231, 232], "sa": 113, "ta": 113, "travelling_salesman_problem": 113, "bag": 113, "minu": [113, 342, 585, 1154], "notion": [113, 126, 129, 261, 262, 263, 290, 793], "partli": 113, "intract": 113, "solvabl": [113, 115], "constant": [113, 499, 503, 506, 507, 510, 677, 1181, 1201, 1221], "treewidth_min_degre": 113, "treewidth_min_fill_in": 113, "han": [113, 360, 1187, 1245, 1421, 1422], "bodlaend": 113, "ari": [113, 1151, 1161, 1406, 1415], "koster": 113, "2010": [113, 242, 245, 312, 313, 325, 326, 363, 381, 695, 1177, 1208, 1275, 1403, 1415, 1416], "inf": [113, 275, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 631, 755, 1420, 1422], "march": [113, 1292, 1415, 1424], "259": 113, "275": 113, "dx": [113, 258, 259, 260, 298, 1241], "ic": [113, 469, 706, 708, 709, 710, 712, 736, 738], "2009": [113, 133, 218, 301, 575, 595, 618, 626, 731, 733, 1207, 1228, 1277, 1329, 1403, 1416], "discov": [113, 294, 347, 387, 1041, 1387, 1402], "utrecht": 113, "uu": [113, 335, 1185], "018": [113, 762], "nl": [113, 478, 1256, 1265], "wang": [113, 425, 427, 515, 731, 733, 1184, 1186, 1421], "lu": [113, 297, 302, 303, 304, 309, 310, 324, 522, 523, 575, 1185, 1281, 1282, 1283, 1422], "hick": [113, 354], "20210507025929": 113, "eec": 113, "utk": 113, "cphill25": 113, "cs594_spring2015_project": 113, "v_j": [115, 283, 334], "v_k": 115, "v_i": 115, "AT": [115, 250, 251, 1420], "polynomi": [115, 265, 442, 620, 621, 760, 764, 1277, 1329, 1331, 1425, 1429, 1434], "amongst": 115, "opposit": [116, 178, 260, 617, 764, 965, 1005, 1180, 1259, 1293], "literatur": [116, 470, 618, 734, 764, 1387], "analogi": 116, "is_connect": [116, 396, 398, 399, 400, 1415], "bottom_nod": 116, "top_nod": [116, 257, 278, 279, 280, 281, 282], "refus": [116, 1046], "temptat": [116, 1046], "guess": [116, 1044, 1046], "ambiguoussolut": [116, 257, 278, 279, 282, 1046, 1331], "rb": [116, 268, 1339, 1343, 1344, 1377, 1414], "random_graph": 116, "rb_top": 116, "rb_bottom": 116, "maximum_match": [116, 279, 282], "complete_bipartite_graph": [116, 253, 254, 282, 286, 590, 1157, 1436], "minimum_weight_full_match": 116, "whose": [116, 117, 145, 219, 220, 227, 230, 236, 282, 292, 293, 294, 295, 296, 312, 348, 352, 353, 354, 377, 382, 389, 462, 492, 503, 586, 587, 589, 621, 694, 730, 741, 1058, 1080, 1200, 1212, 1219, 1255, 1260, 1275, 1278, 1279, 1284, 1285, 1305, 1307, 1316, 1356, 1420], "mode": [116, 261, 262, 263, 268, 269, 290, 1306, 1339, 1340, 1343, 1344, 1345, 1346, 1377, 1378, 1436], "bipart": [116, 291], "outsid": [117, 311, 1413, 1415, 1422], "chord": [121, 343, 345, 1196, 1214, 1221], "chordal_graph": [121, 343], "clique_problem": 122, "character": [123, 314, 784], "triangl": [123, 214, 228, 296, 358, 359, 360, 361, 439, 551, 552, 760, 1101, 1104, 1221, 1225, 1228, 1240, 1249, 1253, 1258, 1269, 1329, 1332, 1415, 1421], "greedy_color": [124, 760, 1404, 1415, 1420], "communities_gener": 126, "girvan_newman": 126, "top_level_commun": 126, "next_level_commun": 126, "kernighan": [126, 379, 1422], "lin": [126, 379, 1416, 1422], "luke": [126, 384, 1421], "asynchron": [126, 375, 380, 381, 1416, 1423], "edge_kcompon": [128, 426], "determen": 128, "maxim": [128, 210, 221, 222, 223, 316, 317, 332, 341, 348, 349, 350, 351, 352, 353, 355, 356, 368, 372, 382, 385, 386, 391, 392, 424, 427, 428, 429, 434, 435, 439, 519, 551, 581, 583, 584, 585, 591, 684, 693, 734, 760, 1046, 1207, 1329, 1331, 1407, 1415, 1416, 1422, 1423], "moodi": [128, 221, 429, 1404], "kanevski": [128, 429, 430, 1404], "recurs": [129, 142, 225, 348, 349, 354, 389, 391, 392, 396, 408, 454, 462, 532, 542, 699, 730, 732, 762, 1048, 1049, 1064, 1085, 1153, 1302, 1387, 1415, 1421, 1422], "prune": [129, 762, 1242], "vladimir": [129, 276, 434, 435, 496, 590, 751, 1236], "batagelj": [129, 276, 434, 435, 590, 751, 1236], "matjaz": [129, 434, 435], "zaversnik": [129, 434, 435], "0310049": [129, 434, 435], "0202039": 129, "degeneraci": 129, "christo": 129, "giatsidi": 129, "thiliko": 129, "michali": 129, "vazirgianni": 129, "icdm": 129, "2011": [129, 333, 379, 385, 387, 443, 447, 448, 513, 514, 521, 621, 684, 1185, 1406, 1407, 1408, 1415, 1416], "graphdegeneraci": 129, "dcores_icdm_2011": 129, "anomali": [129, 440], "onion": [129, 440, 1420], "h\u00e9bert": [129, 440], "dufresn": [129, 440], "grochow": [129, 440], "allard": [129, 440, 1420], "31708": [129, 440], "2016": [129, 339, 354, 387, 440, 478, 692, 1203, 1257, 1405, 1415], "1038": [129, 339, 378, 382, 440, 571], "srep31708": [129, 440], "factor": [133, 227, 294, 295, 300, 301, 325, 326, 372, 464, 499, 503, 506, 507, 510, 515, 567, 594, 626, 678, 699, 1109, 1110, 1111, 1112, 1113, 1117, 1118, 1119, 1120, 1151, 1161, 1184, 1186, 1281, 1282, 1283], "graphic": [133, 456, 519, 520, 695, 760, 1181, 1183, 1186, 1187, 1228, 1331, 1391, 1407, 1410, 1415], "overview": [133, 478, 1041, 1302], "collid": [133, 456], "triplet": [133, 747], "successor": [133, 160, 175, 182, 192, 201, 241, 283, 389, 391, 392, 396, 503, 689, 709, 717, 860, 874, 882, 890, 905, 941, 955, 964, 972, 987, 1058, 1189, 1190, 1195, 1332, 1413, 1416, 1425, 1436], "descend": [133, 456, 458, 467, 711, 760, 1278, 1410, 1413, 1415, 1422, 1423, 1434], "unblock": 133, "commonli": [133, 281, 456, 686, 784], "probabilist": [133, 380], "causal": 133, "markov": [133, 464, 567, 694, 1194], "hmm": 133, "s1": [133, 1248, 1319, 1369], "s2": [133, 1248, 1319], "s3": [133, 1319], "s4": 133, "s5": 133, "o1": 133, "o2": 133, "o3": 133, "o4": 133, "o5": 133, "ob": 133, "d_separ": [133, 760, 1421], "darwich": 133, "shachter": 133, "1998": [133, 1149, 1150, 1231, 1247, 1416], "bay": 133, "ball": 133, "ration": 133, "pastim": 133, "irrelev": [133, 1416], "requisit": 133, "influenc": [133, 325, 326, 514, 788], "fourteenth": [133, 1192], "uncertainti": [133, 592, 734], "artifici": [133, 576, 592, 734], "480": [133, 428, 516, 520, 1407, 1415], "487": 133, "francisco": [133, 734], "morgan": [133, 734], "kaufmann": [133, 734], "koller": 133, "friedman": 133, "mit": [133, 344, 521, 620], "causal_markov_condit": 133, "ness": [134, 686, 784], "classmethod": [142, 1050], "auxiliari": [142, 143, 144, 221, 413, 414, 415, 417, 418, 419, 420, 421, 425, 432, 433, 1411], "sink": [142, 303, 310, 418, 420, 496, 497, 500, 501, 503, 504, 505, 508, 509, 511, 512, 567], "pick": [142, 218, 333, 659, 1194, 1213, 1216, 1416], "st": [142, 417, 419], "cut": [142, 223, 224, 294, 379, 384, 389, 391, 392, 396, 413, 414, 416, 417, 418, 419, 421, 429, 430, 431, 444, 445, 446, 447, 449, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 621, 760, 762, 1041, 1069, 1118, 1268, 1331, 1404, 1411, 1415, 1422], "auxgraph": [144, 425], "node_partit": 145, "permut": [145, 370, 454, 455, 457, 468, 750, 1291, 1326, 1327], "frozenset": [145, 268, 341, 385, 588, 590, 754, 1171, 1339, 1343, 1344, 1421], "abc": [145, 547, 1160, 1212, 1309, 1421, 1422], "interchang": [145, 364], "bool": [146, 147, 149, 150, 166, 169, 172, 177, 185, 190, 197, 205, 209, 233, 238, 239, 243, 244, 246, 250, 251, 259, 266, 267, 268, 269, 273, 276, 287, 288, 289, 292, 295, 296, 297, 298, 299, 300, 302, 303, 306, 307, 308, 309, 310, 311, 315, 316, 323, 325, 326, 327, 328, 329, 332, 345, 352, 357, 364, 395, 396, 397, 398, 399, 400, 441, 456, 464, 465, 469, 481, 482, 490, 491, 493, 496, 500, 501, 511, 512, 515, 516, 517, 518, 519, 520, 522, 523, 524, 547, 564, 566, 580, 581, 582, 583, 590, 615, 616, 618, 619, 624, 625, 627, 642, 654, 665, 675, 681, 687, 692, 698, 700, 701, 702, 706, 710, 721, 725, 726, 727, 728, 730, 732, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 864, 867, 869, 872, 875, 880, 887, 893, 909, 912, 914, 918, 929, 933, 945, 948, 950, 953, 957, 962, 969, 975, 979, 991, 994, 996, 1001, 1042, 1043, 1048, 1060, 1071, 1073, 1074, 1075, 1087, 1094, 1100, 1119, 1127, 1129, 1139, 1140, 1141, 1142, 1175, 1185, 1191, 1195, 1215, 1217, 1218, 1219, 1221, 1230, 1234, 1236, 1237, 1238, 1281, 1282, 1283, 1284, 1285, 1288, 1301, 1302, 1313, 1315, 1318, 1341, 1342, 1343, 1345, 1347, 1348, 1350, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1370, 1385, 1386, 1387, 1388], "account": [146, 149, 400, 450, 751, 763, 1276, 1402, 1422], "graph_nod": [146, 149], "subgraph_nod": [146, 149], "find_isomorph": [148, 151], "induc": [149, 168, 200, 212, 227, 344, 390, 394, 408, 429, 438, 439, 472, 489, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 514, 588, 591, 754, 763, 764, 866, 889, 911, 927, 947, 971, 993, 1010, 1041, 1064, 1069, 1090, 1105, 1106, 1108, 1195, 1289, 1290, 1402], "u_of_edg": [152, 855, 900], "v_of_edg": [152, 855, 900], "capac": [152, 266, 297, 302, 303, 304, 309, 310, 324, 413, 414, 417, 418, 419, 420, 421, 432, 433, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 760, 855, 900, 936, 982, 1341, 1411], "342": [152, 855, 900, 936, 982, 1261], "ebunch_to_add": [153, 159, 856, 859, 901, 904, 937, 940, 983, 986], "add_weighted_edges_from": [153, 230, 231, 232, 327, 510, 583, 632, 659, 661, 723, 856, 901, 937, 983, 1073, 1332, 1413, 1416, 1436], "runtimeerror": [153, 158, 159, 196, 466, 467, 468, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008], "happen": [153, 158, 159, 196, 382, 586, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1412, 1413, 1434], "iterator_of_edg": [153, 159, 856, 859, 901, 904, 937, 940, 983, 986], "wn2898": [153, 856, 901, 937, 983], "wrong": [153, 158, 159, 724, 856, 858, 859, 901, 903, 904, 937, 939, 940, 983, 985, 986, 1415, 1420, 1425, 1434], "start_nod": [154, 155, 156], "end_nod": [154, 155, 156], "reference_neighbor": [154, 155], "half": [154, 155, 156, 165, 178, 184, 207, 298, 299, 617, 655], "clockwis": [154, 155, 170, 183, 198, 617], "networkxexcept": [154, 155, 162, 333, 590, 595, 726, 728, 1046, 1113, 1144, 1186, 1331], "add_half_edge_cw": [154, 156, 165, 617], "connect_compon": [154, 155, 156, 617], "add_half_edge_first": [154, 155, 165, 617], "add_half_edge_ccw": [155, 156, 165, 617], "node_for_ad": [157, 857, 902, 938, 984], "mutabl": [157, 857, 902, 938, 984, 1064, 1069, 1085, 1088, 1089], "hash": [157, 513, 514, 760, 857, 902, 938, 984, 1330, 1331, 1423, 1436], "hello": [157, 158, 857, 858, 902, 903, 938, 939, 984, 985, 1309], "k3": [157, 158, 857, 858, 902, 903, 938, 939, 984, 985, 1223], "utm": [157, 857, 902, 938, 984], "382871": [157, 857, 902, 938, 984], "3972649": [157, 857, 902, 938, 984], "nodes_for_ad": [158, 858, 903, 939, 985], "iterator_of_nod": [158, 196, 858, 886, 903, 925, 939, 968, 985, 1008], "datadict": [160, 191, 201, 208, 736, 738, 860, 881, 890, 894, 905, 930, 941, 963, 972, 976, 1013, 1087, 1318, 1332], "foovalu": [160, 191, 201, 860, 881, 890, 905, 941, 972], "nbrdict": [161, 861, 906, 942, 988, 1022, 1097], "fulfil": [162, 617], "cw": [162, 617], "ccw": [162, 617], "planar": [162, 616, 618, 619, 760, 1113, 1144, 1249, 1252, 1253, 1255, 1331, 1418, 1419], "first_nbr": [162, 617], "invalid": [162, 617, 1422], "alter": [164, 863, 908, 944, 990], "afterward": 165, "as_view": [166, 203, 205, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1092, 1093], "shallow": [166, 203, 205, 285, 286, 287, 288, 289, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1403], "deepcopi": [166, 203, 205, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1418], "__class__": [166, 200, 864, 889, 909, 927, 945, 971, 991, 1010, 1413, 1416, 1418, 1419, 1420], "fresh": [166, 864, 909, 945, 991, 1413], "inspir": [166, 231, 232, 344, 683, 864, 909, 945, 991, 1232, 1329, 1413], "deep": [166, 203, 205, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1271, 1403], "degreeview": [167, 865, 910, 946, 952, 992, 1413, 1436], "didegreeview": [167, 865], "outedgeview": [169, 190, 469, 470, 615, 749, 752, 867, 880, 1038, 1086, 1413, 1427], "ddict": [169, 177, 185, 190, 867, 872, 875, 880, 912, 918, 948, 953, 957, 962, 994, 1001], "in_edg": [169, 190, 867, 880, 948, 962, 1413, 1415, 1416], "out_edg": [169, 867, 948, 1065, 1413, 1415, 1416, 1436], "quietli": [169, 190, 867, 880, 912, 948, 962, 994, 1090, 1436], "outedgedataview": [169, 190, 867, 880, 1413, 1420], "set_data": 170, "edge_dict": [171, 868, 913, 949, 995], "safe": [171, 868, 913, 1413, 1421], "edge_ind": [172, 869, 914, 950, 996], "data_dictionari": [172, 869, 914], "simpler": [173, 185, 870, 875, 915, 918, 951, 957, 997, 1001, 1415, 1416, 1426], "indegreeview": [176, 871, 1413], "deg": [176, 189, 244, 260, 358, 363, 687, 871, 879, 952, 961, 1171, 1185, 1228, 1413], "inedgeview": [177, 872, 1413], "inedgedataview": [177, 872], "silent": [181, 194, 196, 321, 873, 884, 886, 916, 923, 925, 954, 966, 968, 998, 1006, 1008, 1088, 1089, 1133, 1359, 1360, 1365, 1369, 1415, 1422], "niter": [181, 683, 684, 685, 686, 853, 873, 898, 916, 934, 954, 980, 998, 1423], "__iter__": [181, 873, 916, 954, 998, 1309], "nodedata": [185, 875, 918, 957, 1001], "5pm": [185, 798, 875, 918, 957, 1001, 1040, 1042, 1043, 1403, 1436], "Not": [185, 381, 434, 435, 436, 437, 438, 439, 440, 478, 875, 918, 957, 1001, 1120, 1222], "nedg": [186, 590, 876, 919, 958, 1002], "__len__": [187, 188, 877, 878, 920, 921, 959, 960, 1003, 1004], "outdegreeview": [189, 879], "Will": [194, 364, 607, 609, 612, 884, 923, 966, 1006, 1413, 1423], "get_data": [198, 618], "inplac": [200, 692, 889, 927, 971, 1010, 1069, 1402], "reduct": [200, 471, 620, 788, 889, 927, 971, 1010, 1069, 1326, 1327, 1422, 1423], "sg": [200, 889, 927, 971, 1010], "largest_wcc": [200, 889, 927, 971, 1010], "is_multigraph": [200, 760, 889, 927, 971, 1010, 1160, 1421], "keydict": [200, 208, 889, 894, 927, 930, 971, 976, 1010, 1013, 1042, 1043], "contrast": [203, 205, 302, 303, 309, 310, 892, 893, 928, 929, 974, 975, 1011, 1012, 1069, 1239, 1247, 1436], "reciproc": [205, 300, 321, 323, 358, 413, 432, 449, 478, 622, 760, 893, 975, 1331, 1425, 1434], "mark_half_edg": 207, "li": [207, 621, 672, 677, 687, 777, 1213, 1216, 1434], "straightforward": [208, 894, 930, 976, 1013], "slightli": [208, 328, 439, 522, 523, 583, 894, 930, 976, 1013, 1171, 1332, 1413, 1416, 1421, 1423, 1434], "singleton": [208, 358, 590, 894, 930, 976, 1013, 1224, 1257, 1416], "preserve_attr": [209, 725, 726, 727, 728], "optimum": [209, 232, 585, 722, 724, 793, 1404, 1415], "arboresc": [209, 462, 721, 722, 724, 726, 728, 742, 745, 760, 1278, 1404, 1415], "span": [209, 227, 228, 229, 296, 510, 620, 621, 626, 721, 722, 724, 726, 728, 734, 735, 736, 737, 738, 739, 740, 760, 1403, 1406, 1415, 1416, 1429], "max_ind_cliqu": 210, "networkxnotimpl": [210, 211, 212, 213, 221, 225, 228, 294, 295, 296, 319, 320, 322, 330, 345, 381, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 424, 426, 427, 428, 429, 431, 457, 459, 460, 461, 462, 470, 483, 484, 502, 591, 592, 610, 682, 734, 1046, 1222, 1281, 1282, 1304, 1331, 1359, 1360, 1385, 1416, 1417], "boppana": [210, 212, 213], "halld\u00f3rsson": [210, 212, 213], "1992": [210, 212, 213, 519, 520, 1416], "exclud": [210, 212, 213, 216, 217, 262, 263, 455, 690, 721, 725, 726, 727, 728, 735, 753, 1039, 1041, 1091, 1223, 1421], "180": [210, 212, 213, 239, 1434], "196": [210, 212, 213], "heurist": [211, 221, 229, 234, 235, 379, 382, 383, 429, 496, 511, 628, 629, 654, 665, 705, 760, 1179, 1326, 1327, 1331, 1404, 1417, 1421, 1422], "max_cliqu": 211, "rigor": 211, "pattabiraman": 211, "bharath": 211, "massiv": [211, 218], "421": 211, "1080": [211, 298, 299, 307, 308, 331], "15427951": 211, "986778": 211, "apx": [212, 213], "subseteq": [212, 281, 290, 620, 677], "omega": [212, 760, 784, 1423], "maximum_cliqu": 212, "1007": [212, 227, 297, 302, 303, 304, 309, 310, 324, 325, 326, 343, 433, 453, 500, 576, 1150, 1187], "bf01994876": 212, "iset": 213, "trial": [214, 231, 232, 1201, 1243, 1244], "estim": [214, 225, 298, 307, 314, 566, 627, 628, 629, 784, 1286, 1416], "coeffici": [214, 249, 261, 262, 263, 264, 290, 357, 358, 360, 572, 620, 621, 627, 684, 686, 780, 784, 1406, 1407, 1408, 1415, 1422], "fraction": [214, 258, 260, 287, 290, 298, 300, 305, 307, 316, 318, 319, 320, 322, 323, 328, 330, 332, 358, 360, 361, 521, 1127, 1129, 1171, 1240], "schank": 214, "thoma": [214, 753, 1416, 1418, 1422], "dorothea": [214, 1174], "wagner": [214, 431, 760, 1174, 1411, 1415], "universit\u00e4t": 214, "karlsruh": 214, "fakult\u00e4t": 214, "f\u00fcr": 214, "informatik": [214, 414], "5445": 214, "ir": [214, 608], "1000001239": 214, "erdos_renyi_graph": [214, 1230, 1238, 1332, 1415, 1436], "cutoff": [215, 216, 311, 328, 385, 412, 413, 414, 420, 421, 496, 497, 500, 501, 512, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 679, 680, 1240, 1407, 1411, 1415, 1422, 1425, 1433, 1434], "distinct": [215, 216, 256, 282, 289, 354, 393, 454, 455, 462, 580, 597, 610, 620, 702, 703, 736, 737, 738, 739, 791, 1156, 1250, 1277, 1329, 1332, 1334, 1404, 1426], "nonadjac": [215, 216, 482, 586, 587, 589], "cutset": [215, 216, 416, 417, 418, 419, 429, 430, 502, 508, 760], "menger": [215, 216, 217], "theorem": [215, 216, 217, 221, 236, 282, 312, 313, 323, 413, 508, 509, 516, 519, 520, 620, 1196, 1211], "local_node_connect": [215, 217, 410, 411, 412, 413, 415], "node_connect": [215, 216, 411, 412, 413, 414, 416, 417, 418, 419, 421, 429, 430, 1411], "dougla": [215, 216, 217, 221, 1422, 1434], "eclect": [215, 216, 217], "ss": [215, 216, 217], "uci": [215, 216, 217, 469, 706, 708, 709, 710, 712, 736, 738], "drwhite": [215, 216, 217], "pprint": [215, 348, 579, 713], "all_pairs_node_connect": [216, 217, 1411, 1433], "bf": [216, 217, 218, 365, 590, 706, 708, 709, 710, 719, 1406, 1410, 1415, 1418, 1421, 1422, 1434], "lose": [216, 798, 1040, 1042, 1043], "accuraci": [216, 313, 788], "platon": [216, 217, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1251, 1254, 1260, 1263, 1267, 1269], "octahedr": [216, 217, 1263], "octahedral_graph": [216, 217], "vari": [218, 239, 244, 375, 380, 571, 697], "sweep": [218, 1421], "dsweep": 218, "a_1": [218, 479, 1127, 1128, 1129], "a_2": 218, "magnien": [218, 261, 262, 263, 290], "cl\u00e9menc": [218, 261, 262, 263, 290], "matthieu": [218, 261, 262, 263, 275, 290], "latapi": [218, 261, 262, 263, 275, 290], "michel": 218, "habib": 218, "empir": 218, "tight": 218, "jea": 218, "0904": 218, "2728": 218, "crescenzi": 218, "pierluigi": 218, "roberto": 218, "grossi": 218, "leonardo": 218, "lanzi": 218, "andrea": [218, 1171, 1422], "marino": 218, "symposium": [218, 621, 1192, 1201, 1245], "berlin": [218, 522, 523, 1422], "heidelberg": [218, 522, 523], "ut": 218, "ee": [218, 314], "mtat": 218, "238": 218, "2014_fall": 218, "domin": [219, 220, 312, 412, 416, 483, 484, 485, 486, 760, 1331, 1404, 1409, 1415, 1416], "opt": [219, 222, 1434], "min_weight_dominating_set": 220, "vazirani": [220, 222], "vijai": [220, 222, 519], "min_dens": 221, "95": [221, 327, 592, 1289, 1290, 1390], "nest": [221, 429, 730, 732, 793, 1041, 1048, 1064, 1097, 1302, 1314, 1354, 1361, 1362, 1363, 1364, 1391, 1415], "forth": [221, 429], "relax": [221, 228, 1177, 1422], "narrow": [221, 1171], "whitnei": 221, "bicompon": [221, 389, 391, 392, 396], "ferraro": [221, 429], "cohes": [221, 429, 439], "1503": [221, 429], "04476v1": [221, 429], "santaf": 221, "ind": 221, "embedded": [221, 306, 429], "sociolog": [221, 429, 750], "68": [221, 429], "2307": [221, 298, 1261], "3088904": 221, "petersen": [221, 429, 763, 1257, 1262, 1265], "triconnect": [221, 429], "apxa": 221, "petersen_graph": [221, 382, 429, 494, 763, 1122, 1123, 1436], "fo": 222, "initial_cut": 223, "highest": [223, 270, 274, 277, 339, 359, 376, 389, 391, 392, 396, 430, 511, 690, 705, 1186], "suppli": [223, 257, 278, 279, 281, 282, 596, 1203, 1326, 1327, 1332, 1351, 1354, 1355, 1356, 1390, 1417, 1422], "cut_valu": [223, 431, 502, 508, 509, 1411], "probabl": [224, 228, 231, 232, 237, 238, 239, 242, 243, 244, 246, 275, 276, 297, 327, 360, 454, 470, 595, 677, 740, 760, 798, 1040, 1042, 1043, 1174, 1175, 1176, 1177, 1179, 1181, 1185, 1188, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1211, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1241, 1242, 1245, 1247, 1284, 1285, 1289, 1290, 1325, 1412, 1413, 1415, 1423, 1426, 1436], "cut_siz": [224, 444, 449, 450, 760], "ramsei": [225, 760], "max_pair": 225, "closur": [226, 227, 469, 470, 1039, 1091, 1404, 1415, 1417, 1420], "terminal_nod": 227, "steiner": [227, 760, 1417, 1434], "leaf": [227, 357, 462, 467, 680, 1161, 1242, 1278], "across": [227, 249, 627, 1041, 1103, 1332, 1414], "kou": 227, "mehlhorn": [227, 513, 514, 1434], "proce": [227, 232, 233, 375, 380, 520, 1171], "steiner_tree_problem": 227, "markowski": 227, "berman": 227, "1981": [227, 1170, 1329], "acta": [227, 510], "informatica": [227, 510], "bf00288961": 227, "kurt": [227, 513, 514], "1988": [227, 1205, 1416], "0020": [227, 457, 1222], "0190": [227, 457, 1222], "88": [227, 515, 1184, 1186], "90066": 227, "held": [228, 1108], "karp": [228, 278, 279, 281, 501, 760, 1175, 1404, 1411, 1415], "entropi": 228, "scheme": [228, 339, 721, 735, 1402], "lceil": 228, "rceil": 228, "augment": [228, 424, 498, 512, 583, 760, 1417], "tour": [228, 490, 492], "pari": 228, "inequ": [228, 1289, 1290], "trip": [228, 230, 231, 232], "goeman": 228, "madri": 228, "gharan": 228, "saberi": [228, 1187], "1043": 228, "1061": 228, "set_edge_attribut": [228, 376, 502, 600, 628, 1411, 1413, 1416], "minimum_spanning_tre": [229, 1415, 1416], "hamiltonian": [229, 233, 699, 1248, 1250, 1255, 1256, 1260, 1264, 1270], "nico": 229, "rr": 229, "388": [229, 301], "carnegi": 229, "mellon": 229, "univ": 229, "pa": 229, "1976": [229, 455, 518, 1416], "essenc": 230, "feasibl": [230, 424, 496, 498, 500, 501, 504, 505, 506, 507, 510, 511, 512, 533, 536, 543, 546, 764, 1046], "init_cycl": [231, 232, 1422], "temp": [231, 233, 1101], "max_iter": [231, 232, 678], "n_inner": [231, 232], "suboptim": [231, 232, 583], "perturb": [231, 232], "wors": [231, 232, 302, 303, 309, 310, 496], "escap": [231, 232, 1416, 1422], "decreas": [231, 232, 334, 335, 339, 369, 385, 610, 675, 694, 705, 721, 735, 1119, 1181, 1183, 1228, 1240, 1300], "temperatur": [231, 1120], "steel": 231, "harden": 231, "cool": 231, "goe": 231, "greedy_tsp": [231, 232, 233, 1422], "threshold_accepting_tsp": [231, 233, 1422], "transpos": [231, 232, 283], "swap_two_nod": [231, 232], "transposit": [231, 232], "move_one_nod": [231, 232], "enact": [231, 232], "declar": [231, 232], "outer": [231, 232, 382, 438, 608, 617, 798, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1042, 1043, 1089, 1166, 1332], "percentag": [231, 232, 1275], "metaheurist": [231, 232], "characterist": [231, 232, 684, 777, 1434], "thoughtfulli": [231, 232], "exp": [231, 1203, 1205], "n_i": 231, "n_o": 231, "simulated_ann": 231, "incycl": [231, 232], "amount": [232, 498, 506, 507, 510, 678, 788, 1045, 1302, 1433], "minima": 232, "slowli": 232, "simulated_annealing_tsp": [232, 233, 1422], "unchang": [232, 1115, 1302], "presenc": [232, 654, 660, 1434], "0021": 232, "9991": 232, "90": [232, 275, 327, 334, 335, 1045, 1292], "90201": 232, "asadpour_atsp": [233, 1423], "biggest": 233, "callabl": [233, 527, 537, 547, 554, 555, 556, 557, 673, 674, 675, 676, 798, 1039, 1040, 1042, 1043, 1048, 1049, 1050, 1091, 1105, 1302, 1351, 1354, 1355, 1356, 1388, 1415, 1422, 1423, 1434], "tsp": [233, 1422], "curri": 233, "sa_tsp": 233, "wt": [233, 1436], "treewidth": [234, 235, 342, 344, 760, 1431], "lowest": [234, 270, 277, 577, 578, 579, 760, 936, 982, 1042, 1043, 1301, 1331, 1431], "decompos": [234, 235], "neighbourhood": [235, 513, 514], "leq": [236, 323, 519], "min_weighted_cov": 236, "greedili": [236, 265, 354, 364, 442, 584, 724], "yehuda": 236, "annal": [236, 1203, 1289, 1290], "technion": 236, "il": [236, 328, 1271], "reuven": 236, "vc_lr": 236, "eq": [237, 242, 249, 333, 554, 555, 556, 595], "ref": [237, 242, 249, 595, 1045, 1423], "joint": [237, 238, 239, 242, 243, 244, 246, 1213, 1214, 1215, 1216, 1228, 1331, 1420], "026126": [237, 242, 245, 249], "uns": 238, "occurr": [238, 239, 243, 244, 246, 519, 751], "unnorm": [239, 1118], "denser": [239, 429, 430, 502], "height": [239, 741, 1109, 1151, 1221], "79155222": 239, "163": [239, 298, 299, 307, 308, 331, 455, 754, 1170, 1329], "9080892": 239, "30095355": 239, "99016217": 239, "168": [239, 1223], "21590163": 239, "male": 239, "femal": 239, "mix_mat": [239, 244], "analog": [240, 241, 673, 676, 793, 1223, 1332], "k_": [240, 241, 271, 382, 620, 1152, 1248], "nn": [240, 241], "frac": [240, 241, 258, 259, 260, 261, 262, 263, 264, 285, 287, 290, 298, 299, 300, 301, 307, 308, 316, 317, 321, 323, 325, 326, 327, 332, 338, 357, 358, 360, 361, 382, 387, 411, 519, 520, 569, 571, 572, 574, 575, 627, 635, 690, 1063, 1185, 1325], "s_i": [240, 241, 336, 338], "sum_": [240, 241, 261, 262, 263, 281, 298, 299, 300, 301, 307, 308, 314, 316, 317, 321, 323, 325, 326, 327, 332, 334, 338, 357, 358, 360, 373, 387, 411, 472, 519, 569, 570, 574, 575, 620, 621, 635, 689, 690, 691, 1185], "w_": [240, 241, 285, 287, 358, 1185], "ij": [240, 241, 325, 326, 338, 387, 1293, 1294], "k_j": [240, 241, 1293, 1294], "average_neighbor_degre": [240, 1408, 1425], "barrat": [240, 241], "barth\u00e9lemi": [240, 241], "pastor": [240, 241], "satorra": [240, 241], "vespignani": [240, 241], "architectur": [240, 241, 1041], "pna": [240, 241, 242, 245, 336, 337, 437, 438], "101": [240, 241], "3747": [240, 241, 1421], "3752": [240, 241, 1421], "average_degree_connect": [241, 1408], "1666666666666667": 241, "attribute_assortativity_coeffici": 242, "numeric_assortativity_coeffici": 242, "degree_mixing_dict": 242, "degree_mixing_matrix": [242, 1422], "foster": [242, 245], "grassberg": [242, 245], "paczuski": [242, 245], "10815": [242, 245], "1f": [242, 245], "max_degre": [244, 1171], "degree_assortativity_coeffici": [245, 1423], "pearsonr": 245, "pearson": [245, 249, 1308], "correl": [245, 249, 358, 1407, 1415], "asteroid": [250, 251, 760, 1331, 1420], "overlin": 250, "certif": [250, 618], "ekkehard": 250, "k\u00f6hler": 250, "439": 250, "sciencedirect": [250, 411, 620], "pii": [250, 411, 620], "s157086670400019x": 250, "find_asteroidal_tripl": [251, 760], "biparit": 252, "degx": 253, "degi": 253, "is_bipartite_node_set": [255, 285, 286, 287, 288, 289, 1426], "incorrect": [256, 289, 1407, 1415, 1420, 1425, 1426, 1434], "2t": [258, 690], "div": [258, 1423], "mod": [258, 588, 1154, 1168, 1198, 1248, 1257, 1423], "2r": [258, 1168], "2p": 258, "is_bipartit": [258, 259, 260, 285, 286, 287, 288, 289, 1415], "halgin": [258, 259, 260, 287, 289], "carrington": [258, 259, 260, 287, 289], "sage": [258, 259, 260, 287, 289, 459, 1404], "handbook": [258, 259, 260, 287, 289], "4135": [258, 259, 260], "9781446294413": [258, 259, 260], "n28": [258, 259, 260], "c_": [259, 262, 263, 300, 317], "d_": [260, 317, 1228], "c_v": [261, 357], "c_x": 261, "pariwis": [261, 262, 263], "nathali": [261, 262, 263, 290], "del": [261, 262, 263, 290, 798, 1040, 1042, 1043], "vecchio": [261, 262, 263, 290], "biparti": [262, 263], "c_u": [262, 263, 358], "uv": [262, 263, 323, 358, 360, 374, 571, 691, 1185], "cap": [262, 263, 287, 569, 570, 571, 572, 574, 575, 1045], "cup": [262, 263, 287, 323, 572, 621], "robins_alexander_clust": [262, 263], "average_clust": [262, 263, 760, 1408, 1422], "square_clust": [262, 263, 264, 760, 1422], "robin": [264, 1149, 1150], "alexand": [264, 1416, 1418, 1420], "c_4": [264, 360, 587, 589], "l_3": 264, "cc_4": 264, "latapy_clust": 264, "interlock": 264, "director": 264, "organ": [264, 440, 521, 1188, 1190, 1261, 1332, 1421], "69": [264, 1270, 1277], "94": [264, 387, 734], "468": 264, "matching_algorithm": [265, 442], "constitut": [265, 382, 383], "mate": [265, 442], "hopcroft_karp_match": [265, 278, 280, 442], "eppstein_match": [265, 279, 442], "adjlist": [266, 1337, 1338, 1339, 1340, 1341, 1375, 1376, 1377, 1378, 1396, 1433], "nodetyp": [267, 268, 1338, 1339, 1342, 1343, 1344, 1376, 1377], "edgetyp": [268, 1343, 1376, 1377], "whitespac": [268, 269, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1376, 1377, 1421, 1434], "parse_edgelist": [268, 1343, 1392, 1421], "textlin": [268, 1343], "wb": [269, 1340, 1345, 1346, 1378, 1414], "generate_edgelist": [269, 1392], "aseq": [270, 272, 274, 275, 277], "bseq": [270, 272, 274, 277], "havel": [270, 274, 277, 516, 520, 695, 1186, 1410, 1415], "hakimi": [270, 274, 277, 516, 517, 520, 695, 1186, 1410, 1415], "stub": [270, 272, 274, 277, 1181, 1213, 1216], "n1": [271, 527, 537, 547, 557, 673, 674, 675, 676, 1039, 1091, 1436], "n2": [271, 527, 537, 547, 557, 673, 674, 675, 676, 1039, 1091, 1436], "n_1": 271, "n_2": 271, "g_": [273, 301, 1230, 1232, 1234, 1236, 1237, 1238], "nm": [273, 276, 302, 303, 309, 310, 431, 512, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560], "preferenti": [275, 571, 573, 1191, 1229, 1233, 1235], "guillaum": [275, 1418], "physica": [275, 301, 360], "2006": [275, 348, 349, 385, 387, 436, 500, 620, 627, 686, 736, 738, 1232, 1294, 1298, 1415, 1416], "795": 275, "813": 275, "loup": 275, "lett": [275, 314, 1293], "pg": [275, 300, 1045], "215": [275, 300, 323, 1272], "ipl": [275, 340], "007": [275, 453], "ulrik": [276, 297, 298, 299, 302, 303, 304, 307, 308, 309, 310, 316, 324, 331, 618, 753, 1174, 1236], "rev": [276, 285, 373, 374, 385, 387, 436, 1171, 1183, 1188, 1189, 1190, 1193, 1236, 1240, 1293], "71": [276, 334, 335, 358, 575, 1189, 1193, 1199, 1236], "036113": [276, 1236], "unmatch": [278, 279, 281], "hopcroft": [278, 279, 389, 391, 392, 396, 570, 574, 762, 1404], "alias": [279, 1230, 1234, 1238, 1421, 1422], "richard": [279, 281, 1416, 1417], "1973": [279, 348, 349, 389, 391, 392, 396, 490, 492, 515, 1046, 1184, 1186, 1222], "0202019": 279, "alia": [280, 364, 1422, 1423], "mathbb": 281, "lvert": 281, "rvert": 281, "perfect": [281, 582, 626, 1418], "rectangular": [281, 1199, 1205], "man": 281, "mn": [281, 302, 303, 309, 310, 654, 660], "143": [281, 502], "152": 281, "1980": [281, 338, 1416], "vertex_cov": [282, 1423], "konig": 282, "independent_set": [282, 364], "row_ord": 283, "column_ord": 283, "dtype": [283, 297, 302, 303, 304, 309, 310, 324, 1101, 1105, 1106, 1107, 1108, 1284, 1285, 1287, 1416, 1422, 1423], "csr": [283, 1108], "u_": 283, "v_": [283, 334], "b_": [283, 479, 480, 1293], "u_i": [283, 327], "bsr": [283, 1108], "csc": [283, 1108], "coo": [283, 1108, 1415], "lil": [283, 1108, 1415], "dia": [283, 1108, 1415], "dok": [283, 1108], "adjacency_matrix": [283, 284, 777, 1286, 1293, 1294, 1295, 1326, 1327, 1422], "from_biadjacency_matrix": 283, "adjacency_matrix_of_a_bipartite_graph": [283, 284], "entri": [284, 312, 359, 452, 631, 719, 720, 1041, 1101, 1102, 1104, 1105, 1106, 1108, 1118, 1181, 1183, 1184, 1213, 1215, 1216, 1223, 1228, 1287, 1304, 1351, 1411, 1422], "from_numpy_arrai": [284, 1044, 1105, 1395], "sum_k": [285, 1185], "delta_": 285, "d_k": [285, 519], "overlap_weighted_projected_graph": [285, 286, 288, 289], "generic_weighted_projected_graph": [285, 287, 288, 289], "ii": [285, 328, 339, 1223], "016132": [285, 328], "weight_funct": 286, "collaboration_weighted_projected_graph": [286, 287, 288, 289], "jaccard": [286, 287, 572], "unbr": 286, "vnbr": 286, "my_weight": 286, "greater": [289, 298, 299, 305, 307, 308, 316, 317, 322, 330, 331, 332, 354, 363, 376, 382, 383, 385, 386, 387, 466, 469, 471, 627, 692, 788, 1152, 1171, 1204, 1245, 1402, 1403], "redund": [290, 690, 760, 793, 1422, 1423, 1428], "rc": [290, 627, 1284, 1285, 1423], "neq": [290, 301, 321, 635], "mathrm": [290, 1171], "sb": 291, "estrada": [291, 301, 314, 334, 335, 373, 374], "rodr\u00edguez": [291, 626], "vel\u00e1zquez": 291, "physrev": [291, 316, 328, 332, 387, 436], "046105": 291, "nbunch1": [292, 293], "nbunch2": [292, 293], "exterior": [292, 293], "disjoint": [292, 293, 353, 377, 420, 421, 462, 522, 523, 596, 597, 599, 600, 602, 603, 760, 1168, 1170, 1180, 1249, 1329, 1409, 1415, 1417], "isthmus": 294, "chain": [294, 340, 425, 427, 428, 464, 567, 592, 680, 694, 760, 1041, 1064, 1069, 1085, 1100, 1194, 1331, 1413, 1416, 1426], "chain_decomposit": [294, 760], "polylogarithm": [294, 295, 372, 699], "bridge_": [294, 427], "28graph_theori": [294, 427], "finding_with_chain_decomposit": 294, "bridg": [295, 296, 425, 426, 427, 760, 1331, 1425, 1426], "hand": [295, 1263, 1332, 1421, 1426], "with_span": 296, "solver": [297, 302, 303, 304, 309, 310, 313, 324, 326, 568, 1118, 1281, 1282, 1283, 1423], "epsilon": [297, 677, 1245], "kmax": 297, "absolut": [297, 558, 559, 560, 616, 1281, 1282, 1283], "strength": [297, 302, 303, 304, 309, 310, 312, 313, 324, 325, 326], "float32": [297, 302, 303, 304, 309, 310, 324], "consumpt": [297, 302, 303, 304, 309, 310, 324], "toler": [297, 312, 325, 558, 559, 560, 566, 568, 678, 1171, 1281, 1282, 1283], "current_flow_betweenness_centr": [297, 309, 310, 1407, 1416], "sqrt": [297, 302, 303, 309, 310, 325, 326, 431, 511, 677, 1120, 1197, 1221], "unspecifi": [297, 302, 303, 309, 310, 424, 1065, 1284, 1285, 1387, 1388], "fleischer": [297, 302, 303, 304, 309, 310, 324], "22nd": [297, 302, 303, 304, 309, 310, 324, 692], "symp": [297, 302, 303, 304, 309, 310, 324, 1174], "stac": [297, 302, 303, 304, 309, 310, 324], "lnc": [297, 302, 303, 304, 309, 310, 324, 1185], "3404": [297, 302, 303, 304, 309, 310, 324], "544": [297, 302, 303, 304, 309, 310, 324, 1407, 1415], "978": [297, 302, 303, 304, 309, 310, 324, 433, 576], "540": [297, 302, 303, 304, 309, 310, 324, 433], "31856": [297, 302, 303, 304, 309, 310, 324], "9_44": [297, 302, 303, 304, 309, 310, 324], "c_b": [298, 299, 307, 308, 316, 332], "sigma": [298, 299, 307, 308, 316, 332, 760, 784], "interpret": [298, 299, 307, 308, 312, 313, 325, 326, 372, 620, 732, 1101, 1102, 1104, 1281, 1282, 1283, 1355, 1414], "edge_betweenness_centr": [298, 299, 302, 303, 308, 309, 310, 376, 1088], "load_centr": [298, 299, 300, 305, 311, 321, 323, 1408], "pivot": 298, "infinit": [298, 299, 307, 308, 316, 317, 331, 332, 390, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 599, 634, 755, 1224, 1430], "sociologi": [298, 299, 307, 308, 312, 313, 316, 317, 318, 331, 332, 689, 691], "0022250x": [298, 299, 307, 308, 331], "9990249": [298, 299, 307, 308, 331], "variant": [298, 299, 304, 307, 308, 316, 324, 512, 793, 1404], "socnet": [298, 299, 307, 308], "2007": [298, 299, 307, 308, 314, 332, 357, 358, 380, 437, 438, 627, 688, 1199, 1241, 1277, 1292, 1329, 1415], "001": [298, 299, 307, 308, 576], "pich": 298, "bifurc": 298, "2303": [298, 1416], "2318": 298, "1142": [298, 1206, 1207, 1329], "s0218127407018403": 298, "linton": [298, 300], "freeman": [298, 300, 323], "sociometri": 298, "3033543": 298, "strang": [299, 308, 1288], "wf_improv": [300, 323], "reachabl": [300, 315, 323, 329, 398, 399, 463, 483, 484, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 640, 643, 644, 646, 648, 649, 651, 654, 660, 662, 663, 664, 667, 668, 669, 670, 671, 700, 701, 705, 706, 712, 713, 716, 755, 1387, 1388], "incom": [300, 317, 319, 322, 566, 568, 1302, 1387], "outward": [300, 317, 319, 320, 754], "wasserman": [300, 323], "faust": [300, 323], "actor": [300, 306, 1261, 1415], "wf": 300, "absent": 300, "incremental_closeness_centr": 300, "dijkstra": [300, 321, 630, 631, 632, 634, 635, 637, 638, 654, 655, 656, 657, 658, 660, 661, 662, 669, 1332, 1407, 1415, 1416, 1418, 1423], "inward": [300, 754], "outword": 300, "v2": [300, 527, 537, 557, 654, 673, 674, 675, 676, 1088, 1089, 1117, 1417, 1419, 1420, 1421, 1430], "239": [300, 323], "1979": [300, 323, 510, 579], "0378": [300, 304, 323, 324], "8733": [300, 304, 323, 324], "78": [300, 323, 472, 1171, 1277], "90021": [300, 323], "1994": [300, 407, 408, 734, 1196], "communic": [301, 374, 760, 1331, 1408, 1415, 1416, 1421], "walk": [301, 302, 303, 309, 310, 333, 334, 335, 373, 374, 490, 494, 1152, 1163, 1289, 1290, 1415], "basi": [301, 451, 453, 1403, 1415, 1417], "subraph": 301, "omega_": 301, "prq": 301, "pq": 301, "attain": [301, 1240], "ernesto": [301, 334, 335, 373, 374], "desmond": 301, "higham": 301, "naomichi": [301, 373, 374], "hatano": [301, 373, 374], "764": 301, "774": 301, "0905": [301, 695], "4102": 301, "cbc": 301, "2f": [301, 312, 313, 325, 326, 327, 334, 335], "electr": [302, 303, 309, 310, 451], "approximate_current_flow_betweenness_centr": [302, 303, 1416], "edge_current_flow_betweenness_centr": [302, 303, 1407, 1416], "invers": [302, 303, 309, 310, 325, 326, 487, 488, 489, 579, 730, 731, 732, 733, 1196, 1222], "nw": [302, 303, 309, 310], "resist": [304, 324, 478, 1420], "karen": [304, 324], "stephenson": [304, 324], "marvin": [304, 324, 1421], "zelen": [304, 324], "rethink": [304, 324], "1989": [304, 324, 466, 468, 481, 616], "90016": [304, 324], "6666666666666666": [305, 322, 330], "ti": [306, 466, 690, 721, 735, 750], "score": [306, 327, 570, 571, 573, 574, 677, 704], "embeded": 306, "denomin": [306, 1391, 1425], "lar": 306, "backstrom": 306, "kleinberg": [306, 566, 569, 572, 573, 1201], "g_u": 306, "romant": 306, "partnership": 306, "facebook": 306, "1310": 306, "6753v1": 306, "edge_load": [307, 308, 1416], "loos": 311, "max_it": [312, 313, 325, 375, 379, 566, 568, 593, 594, 1171, 1416, 1422], "tol": [312, 313, 325, 566, 568, 1171, 1281, 1282, 1283, 1416], "1e": [312, 325, 382, 383, 557, 558, 559, 560, 566, 568, 1120, 1171, 1281, 1282, 1283], "nstart": [312, 325, 566, 568], "th": [312, 373, 514, 608, 610, 1201, 1329], "vector": [312, 359, 567, 568, 1199, 1205, 1282, 1283, 1289, 1290, 1333, 1411, 1415], "equat": [312, 326, 451, 1241], "virtu": [312, 313], "perron": [312, 313, 1289, 1290], "frobeniu": [312, 313], "0e": [312, 313, 325], "networkxpointlessconcept": [312, 313, 327, 364, 398, 577, 635, 733, 744, 745, 1046, 1279, 1331], "poweriterationfailedconverg": [312, 325, 566, 568, 1046, 1331], "eigenvector_centrality_numpi": [312, 325, 326, 1416], "hit": [312, 313, 325, 326, 760, 1403, 1410, 1415, 1416, 1422, 1434], "shift": [312, 1045, 1219, 1221, 1248, 1420], "spectrum": [312, 373, 1275, 1331, 1404], "phillip": [312, 313], "bonacich": [312, 313], "92": [312, 313, 446, 1292, 1419, 1421], "1170": [312, 313], "1182": [312, 313], "1986": [312, 313, 516, 583, 1272, 1325, 1416], "leonidzhukov": [312, 313], "net": [312, 313, 332, 429, 430, 498, 504, 505, 506, 507, 510, 557, 764, 1171, 1288, 1347, 1348, 1350, 1381, 1382, 1389], "hse": [312, 313], "socialnetwork": [312, 313], "169": [312, 313], "criterion": [313, 519], "arpack": [313, 1118], "compact": [314, 1119, 1329, 1398], "lambda_": [314, 325, 326, 334, 373], "leqlambda_": 314, "leqcdotslambda_": 314, "_j": 314, "molecular": 314, "chem": 314, "713": 314, "s0009": 314, "2614": 314, "00158": 314, "jos\u00e9": 314, "antonio": 314, "de": [314, 354, 414, 453, 576, 700, 701, 1370, 1423, 1426], "la": [314, 688], "pe\u00f1aa": 314, "ivan": [314, 1418, 1420], "gutman": [314, 621, 777], "juan": [314, 334, 335, 1416, 1421], "rada": 314, "427": [314, 364], "laa": 314, "020": 314, "ei": 314, "greatest": 315, "local_reaching_centr": 315, "stronger": [315, 329, 1120], "shorter": [315, 329, 680], "mone": [315, 329], "eni": [315, 329], "lilla": [315, 329], "vicsek": [315, 329, 378], "tam\u00e1": [315, 329, 378, 1420], "plo": [315, 329, 331, 358, 425, 427, 547, 686, 763, 1241], "ONE": [315, 329, 1241], "e33799": [315, 329], "1371": [315, 329, 331, 425, 427, 547, 686, 763, 1241], "pone": [315, 329, 331, 425, 427, 547, 686, 763, 1241], "0033799": [315, 329], "everett": [316, 317, 318, 332], "181": [316, 317, 318, 332], "1999": [316, 317, 318, 332, 566, 568, 1172, 1173, 1229, 1239, 1245, 1416], "analytictech": [316, 317, 318, 332, 690], "group_centr": [316, 317, 318, 332], "citeseerx": [316, 616, 618], "ist": [316, 496, 566, 568, 616, 618, 694], "psu": [316, 566, 568, 616, 618, 694], "viewdoc": [316, 616, 618], "9610": 316, "rep": [316, 339, 382, 571, 1352, 1353], "rep1": 316, "sourav": [316, 332], "medya": [316, 332], "mine": [316, 332, 595, 672, 677, 678, 692, 788], "sdm": [316, 332], "126": [316, 332, 1185], "134": [316, 332], "ucsb": [316, 332], "arlei": [316, 332], "sdm18": [316, 332], "rami": [316, 332], "puzi": [316, 332], "yuval": [316, 332, 437, 438], "elovici": [316, 332], "shlomi": [316, 332], "dolev": [316, 332], "ap": [316, 328, 332, 436], "1103": [316, 328, 332, 387, 436, 440, 487, 488, 489], "76": [316, 332, 358, 380], "056709": [316, 332], "min_": 317, "zhao": [317, 1421], "resid": [317, 467], "wwwconfer": 317, "689": 317, "694": 317, "1145": [317, 364, 389, 391, 392, 396, 566, 570, 574, 579, 672, 677, 1326, 1327], "2567948": 317, "2579356": 317, "group_in_degree_centr": [318, 320], "group_out_degree_centr": [318, 319], "group_degree_centr": [319, 320], "harmon": [321, 593, 760, 772, 1404, 1416, 1422], "boldi": 321, "sebastiano": [321, 1434], "vigna": [321, 1434], "axiom": 321, "262": 321, "out_degree_centr": [322, 1416], "prev_cc": 323, "increment": [323, 1403, 1420, 1436], "sariyuc": 323, "unnecessari": [323, 471, 680, 1416, 1421, 1422, 1423, 1426], "unweight": [323, 358, 424, 453, 634, 635, 637, 638, 688, 690, 691, 755, 781, 788, 1407, 1408, 1415, 1420, 1433], "kaya": 323, "saul": 323, "catalyiirek": 323, "2013": [323, 340, 1191, 1215, 1410, 1415, 1416], "ieee": [323, 347, 381, 496, 518, 621, 764, 1205, 1208, 1215, 1216, 1275], "bigdata13": 323, "katz": [325, 326, 1410, 1415, 1416, 1420, 1422, 1434], "x_i": [325, 326], "a_": [325, 326, 338, 387, 1293, 1294, 1357, 1358, 1359, 1360, 1383], "x_j": [325, 326], "distant": [325, 326], "penal": [325, 326], "attenu": [325, 326], "strictli": [325, 326, 675, 1171, 1334], "lack": [325, 326], "katz_centrality_numpi": [325, 1416], "adjacency_spectrum": [325, 326, 1287, 1407], "720": 325, "sociometr": [325, 326], "psychometrika": [325, 326], "1953": [325, 326], "bf02289026": [325, 326], "phi": [325, 326, 627, 677, 1289, 1290], "katz_centr": [326, 1416], "walk_typ": [327, 1289, 1290], "drop": [327, 1365, 1369, 1404, 1405, 1411, 1415, 1416, 1419, 1421, 1422, 1423, 1434], "energi": [327, 496], "c_l": 327, "_i": [327, 338, 359], "e_l": 327, "g_i": 327, "lambda_i": 327, "directed_laplacian_matrix": 327, "teleport": [327, 1289, 1290], "qi": 327, "fuller": 327, "zhang": [327, 339, 347, 360, 575, 620, 672, 677], "240": [327, 500, 722, 793], "253": 327, "wvu": 327, "cqzhang": 327, "INS": 327, "70": [327, 385, 387, 516], "kwang": 328, "goh": 328, "byungnam": 328, "kahng": 328, "doochul": 328, "87": [328, 487, 488, 489, 1274], "physrevlett": [328, 487, 488, 489], "278701": 328, "recomput": [329, 376], "global_reaching_centr": 329, "in_degree_centr": [330, 1416], "percol": [331, 378, 436, 440, 760, 1228, 1418], "quantifi": 331, "depict": [331, 376], "scenario": 331, "infect": 331, "transmiss": 331, "virus": 331, "diseas": 331, "town": 331, "decim": 331, "mahendra": 331, "piraveenan": 331, "prokopenko": 331, "liaquat": 331, "hossain": 331, "ploson": [331, 425, 427], "0053095": 331, "promin": [332, 1421, 1422], "candid": [332, 347, 348, 349, 514, 528, 536, 538, 546, 1403], "naiv": [332, 1420, 1431, 1434], "negligibli": 332, "max_gbc": 332, "max_group": 332, "group_betweenness_centr": [332, 1422], "ai": 332, "287": [332, 343], "296": [332, 683, 685], "researchg": [332, 557, 764], "profil": 332, "rami_puzis2": 332, "220308855": 332, "deviat": [333, 337, 1202, 1203, 1204], "neg": [333, 358, 431, 498, 503, 506, 507, 510, 620, 630, 631, 632, 654, 655, 659, 660, 661, 662, 665, 669, 682, 684, 722, 753, 1073, 1225, 1241, 1301, 1404, 1407, 1415, 1421, 1422, 1423], "kermarrec": 333, "sericola": 333, "tr\u00e9dan": 333, "unbias": [333, 703], "viabl": [333, 680], "ann": [333, 343, 1185, 1230, 1234, 1238], "mari": 333, "bruno": 333, "gill": 333, "assess": [333, 1261], "elsevi": [333, 340, 457], "619": 333, "628": 333, "soc": [333, 686, 762, 1172, 1173], "subgraph_centrality_exp": 334, "lambda_j": 334, "rodriguez": [334, 335, 1416], "velazquez": [334, 335], "056103": [334, 335], "0504730": [334, 335], "subgraph_centr": 335, "trophic": [336, 337, 338, 760, 1421], "x_ij": 336, "johnson": [336, 337, 454, 455, 490, 492, 1404, 1418], "s_j": [336, 338], "diff": 336, "dominguez": [336, 337], "garcia": [336, 337, 375], "donetti": [336, 337], "munoz": [336, 337], "coher": [336, 337, 358], "food": [336, 337], "cannib": 337, "incoher": 337, "homogen": [337, 693], "levin": 338, "theor": 338, "biol": 338, "195": 338, "207": [338, 740], "influenti": 339, "neighbour": [339, 364, 375, 436], "elect": 339, "subsequ": [339, 1302, 1334, 1402], "spreader": 339, "27823": 339, "srep27823": 339, "manner": [340, 655, 762, 764, 793, 1334, 1398, 1413], "nontre": [340, 713], "jen": [340, 1416, 1418, 1419, 1426], "schmidt": [340, 1421, 1423], "241": 340, "244": 340, "016": 340, "chordal": [341, 342, 343, 344, 345, 616, 760, 1196, 1331, 1404, 1406, 1415, 1420, 1422], "tree_decomposit": 342, "bigger": [343, 382, 383], "elimin": [343, 455, 1418], "mc": 343, "triangul": [343, 734], "berri": 343, "blair": 343, "heggern": 343, "pinar": [343, 1215], "peyton": 343, "barri": 343, "algorithmica": [343, 1187], "298": 343, "s00453": [343, 453, 1187], "1084": 343, "treewidth_bound": 344, "9223372036854775807": 344, "destin": [344, 503, 1043, 1111, 1288], "induced_nod": 344, "gal": 344, "elidan": 344, "gould": 344, "jmlr": [344, 513, 514], "dec": [344, 608, 1277, 1329], "2699": [344, 1417], "2731": [344, 1417], "csail": 344, "volume9": 344, "elidan08a": 344, "tarjan": [345, 389, 391, 392, 396, 407, 408, 521, 579, 1423], "yannakaki": 345, "hypergraph": [345, 1362, 1363, 1391], "1984": 345, "566": 345, "579": 345, "find_cliqu": [346, 349, 350, 351, 355, 356, 378, 760, 1423], "awar": [347, 348, 349, 547], "convention": [347, 348, 349], "yun": 347, "abu": [347, 673, 674, 675, 676], "khzam": 347, "baldwin": 347, "chesler": 347, "langston": 347, "samatova": 347, "genom": 347, "intens": [347, 358, 1139, 1141, 1143, 1417], "biologi": 347, "supercomput": 347, "nov": 347, "1109": [347, 496], "suffer": [348, 349], "find_cliques_recurs": [348, 760], "bron": [348, 349], "kerbosch": [348, 349], "tomita": [348, 349], "tanaka": [348, 349], "takahashi": [348, 349], "cazal": [348, 349], "karand": [348, 349], "unrol": 348, "457": [348, 349], "575": [348, 349], "577": [348, 349], "portal": [348, 349, 1245], "cfm": [348, 349, 1245], "doid": [348, 349], "362342": [348, 349], "362367": [348, 349], "etsuji": [348, 349], "akira": [348, 349], "haruhisa": [348, 349], "363": [348, 349, 1422], "combinator": [348, 349, 608, 695, 1046, 1185, 1277, 1289, 1290, 1329], "10th": [348, 349], "annual": [348, 349, 621, 1192], "cocoon": [348, 349], "octob": [348, 349, 1208, 1415, 1420, 1432], "tc": [348, 349, 469, 470], "novemb": [348, 349, 1402, 1408, 1415, 1433], "564": [348, 349], "010": [348, 349], "fpo": 352, "euclidean": [352, 1199, 1200, 1202, 1203, 1204, 1205, 1221, 1423, 1434], "plane": [352, 618, 619, 1219, 1221, 1329], "make_clique_bipartit": [353, 760], "relabel_nod": [353, 731, 733, 1300, 1415, 1416, 1421, 1422, 1434], "intermedi": 353, "tavar": 354, "bitset": 354, "decad": 354, "warren": [354, 1419], "neto": 354, "michelon": 354, "um": 354, "algoritmo": 354, "para": 354, "problema": 354, "da": [354, 627, 1418], "m\u00e1xima": 354, "ponderada": 354, "xlvii": 354, "sbpo": 354, "warrent": 354, "illya": 354, "separate_nod": 355, "count_zero": 357, "avg": [357, 1416], "saram\u00e4ki": [357, 358], "kivel\u00e4": [357, 358], "onnela": [357, 358], "kaski": [357, 358, 621], "kert\u00e9sz": [357, 358], "027105": [357, 358], "jponnela": [357, 358], "web_docu": [357, 358], "a9": [357, 358], "marcu": 357, "kaiser": 357, "0802": 357, "2512": 357, "vw": [358, 690], "hat": 358, "uw": [358, 360, 690, 691], "addition": [358, 466, 740, 1302], "tot": [358, 382, 1223], "2deg": 358, "leftrightarrow": 358, "motif": 358, "065103": 358, "costantini": 358, "perugini": 358, "e88669": 358, "fagiolo": 358, "026107": [358, 1240], "mathbf": 359, "k_i": [359, 382, 387, 620, 1286, 1293, 1294], "dotsc": [359, 1228], "2k_i": 359, "zlati\u0107": 359, "garlaschelli": 359, "caldarelli": 359, "epl": 359, "europhys": 359, "iopscienc": 359, "iop": 359, "1209": 359, "0295": 359, "28005": 359, "k_v": 360, "q_v": 360, "a_v": 360, "ie": [360, 430], "k_u": 360, "theta_": 360, "k_w": 360, "c4": [360, 586], "c_3": 360, "pedro": [360, 1421], "lind": 360, "marta": 360, "gonz\u00e1lez": [360, 1422], "herrmann": 360, "056127": 360, "peng": 360, "387": 360, "6869": 360, "6875": 360, "0710": 360, "0117v1": 360, "num_color": 363, "equit": [363, 1419], "networkxalgorithmerror": [363, 695, 696, 1046, 1331], "kierstead": 363, "kostochka": 363, "mydlarz": 363, "szemer\u00e9di": 363, "combinatorica": 363, "217": [363, 618], "is_equit": 363, "largest_first": 364, "random_sequenti": 364, "smallest_last": 364, "connected_sequential_bf": 364, "connected_sequential_df": 364, "connected_sequenti": 364, "saturation_largest_first": 364, "dsatur": [364, 371], "adrian": 364, "kosowski": 364, "krzysztof": 364, "manuszewski": 364, "isbn": [364, 446], "8218": [364, 446], "3458": [364, 1420], "matula": 364, "leland": 364, "beck": 364, "juli": [364, 437, 438, 706, 708, 709, 710, 1228, 1409, 1410, 1415, 1422, 1430], "1983": [364, 1179, 1416], "417": [364, 519], "2402": [364, 1416], "322385": 364, "maciej": 364, "sys\u0142o": 364, "narsingh": 364, "deo": 364, "janusz": 364, "kowalik": [364, 1421], "pascal": [364, 513, 514, 1420], "415": 364, "424": 364, "486": [364, 388, 1175, 1176, 1177], "45353": 364, "df": [365, 389, 391, 392, 396, 483, 712, 713, 1102, 1103, 1106, 1107, 1387, 1406, 1410, 1415, 1416, 1422], "unus": [368, 936, 956, 982, 1000, 1042, 1043, 1417, 1420, 1421, 1422, 1423, 1428, 1429, 1432, 1434], "strategy_smallest_last": [368, 760], "satur": [371, 420, 421], "dequ": 372, "bucket": 372, "queue": [372, 1051, 1052, 1053, 1054, 1308, 1331, 1415, 1423], "strategy_independent_set": [372, 760], "comm": [373, 374, 451], "communicability_exp": [373, 760], "communicability_betweenness_centr": [373, 374, 1422], "phi_": 373, "urm": 373, "jrm": 373, "orthonorm": 373, "77": [373, 374, 454, 455], "036111": [373, 374], "0707": [373, 374], "0756": [373, 374], "fluid": [375, 760, 1416], "unfortun": 375, "gasulla": 375, "competit": [375, 690, 1416], "scalabl": [375, 692, 1208, 1416], "1703": [375, 1416], "09307": 375, "most_valuable_edg": 376, "valuabl": 376, "tradition": 376, "tightli": 376, "knit": 376, "dendrogram": [376, 383], "takewhil": 376, "heaviest": [376, 1422], "most_central_edg": 376, "max_cent": 376, "nois": [376, 788], "precomput": [378, 435, 436, 437, 438, 473, 474, 476, 477], "gerg": 378, "palla": 378, "imr": 378, "der\u00e9nyi": 378, "ill\u00e9": 378, "farkas1": 378, "uncov": 378, "societi": [378, 446, 516], "435": 378, "814": 378, "818": 378, "nature03607": 378, "first_label": [378, 1300], "swap": [379, 627, 683, 685, 694, 695, 696, 760, 1243, 1244, 1302, 1331, 1413, 1420, 1422, 1434], "bisect": 379, "balanc": [379, 579, 730, 732, 741, 1151], "improvem": 379, "shen": 379, "1970": [379, 1416], "bell": [379, 1152], "291": 379, "307": 379, "propag": [380, 381, 596, 597, 599, 602, 603, 606, 614, 741, 760, 788, 1060, 1223, 1225, 1362, 1363, 1417, 1420, 1422, 1423], "halt": [380, 678, 1191], "frequenc": [380, 511, 1062], "raghavan": 380, "usha": 380, "nandini": 380, "r\u00e9ka": 380, "soundar": 380, "kumara": 380, "Near": 380, "036106": 380, "semi": [381, 495, 593, 772], "synchron": 381, "cordasco": 381, "gargano": 381, "decemb": [381, 1415], "basna": 381, "workshop": [381, 557, 764], "modular": [382, 383, 385, 386, 760, 1275, 1293, 1294, 1298, 1331, 1332, 1404, 1415, 1416, 1418, 1421, 1422], "2m": [382, 387, 414, 433, 1063, 1207], "sigma_": 382, "cdot": [382, 425, 571], "reappli": 382, "favor": [382, 383, 385, 386, 387, 585, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1422, 1423, 1425, 1426], "0000001": [382, 383], "louvain_partit": [382, 1423, 1431], "shuffl": [382, 1415], "blondel": [382, 383], "unfold": [382, 383], "mech": [382, 383], "10008": [382, 383], "1088": 382, "1742": 382, "5468": [382, 1425], "p10008": 382, "traag": 382, "waltman": 382, "eck": 382, "leiden": [382, 478], "5233": 382, "2019": [382, 440, 1277, 1329, 1415, 1419, 1420], "s41598": [382, 571], "019": [382, 571], "41695": 382, "dugu\u00e9": 382, "anthoni": [382, 1420, 1422], "perez": 382, "universit\u00e9": 382, "orl\u00e9an": 382, "hal": [382, 673, 674, 675, 676], "01231784": 382, "ouvert": [382, 673, 674, 675, 676], "fr": [382, 673, 674, 675, 676, 1418, 1419], "nx_comm": [382, 387], "dendogram": 383, "louvain_commun": [383, 1423], "max_siz": 384, "node_weight": [384, 656], "notatre": [384, 733], "best_n": 385, "clauset": [385, 387, 1418], "reichardt": [385, 387], "bornholdt": [385, 387], "e74": 385, "056131": 385, "slower": [386, 431, 498, 654, 660, 1411], "greedy_modularity_commun": [386, 1422, 1423, 1425, 1434], "k_ik_j": 387, "c_i": [387, 479, 480], "c_j": 387, "k_c": 387, "intra": [387, 388, 1171, 1174, 1246], "tradeoff": 387, "inter": [387, 388, 576, 1171, 1174, 1246], "_c": 387, "notapartit": 387, "aaron": [387, 1418, 1420, 1423, 1426], "ej": 387, "cristoph": 387, "0408187": 387, "016110": 387, "likelihood": 387, "052315": 387, "35714285714285715": 387, "santo": [388, 1171, 1175, 1176, 1177], "fortunato": [388, 1171, 1175, 1176, 1177], "174": [388, 1170, 1175, 1176, 1177, 1329], "0906": [388, 1175, 1176, 1177], "0612": [388, 1175, 1176, 1177], "articul": [389, 391, 392, 396, 1408, 1415], "is_biconnect": [389, 391, 392, 397, 398, 399, 400, 1429], "biconnected_component_edg": [389, 392, 396], "subtre": [389, 391, 392, 396, 579, 713, 730, 732, 741], "372": [389, 391, 392, 396], "378": [389, 391, 392, 396], "362248": [389, 391, 392, 396], "362272": [389, 391, 392, 396], "walker": [390, 1422], "enter": 390, "thought": [390, 1180, 1390, 1430], "recurr": [390, 620, 621], "number_attracting_compon": [390, 395], "is_attracting_compon": [390, 403], "articulation_point": [391, 392, 396, 1416], "bicomponents_edg": 391, "k_compon": [392, 427, 1404, 1415, 1422], "bridge_compon": 392, "scc": [393, 1408], "strongly_connected_compon": [393, 394, 399, 401, 405, 409, 590, 1404, 1423], "weakly_connected_compon": [394, 400, 406, 407, 408, 1404], "largest_cc": [394, 409], "attracting_compon": [395, 403, 1408], "is_strongly_connect": [396, 397, 398, 400, 760, 1430], "is_weakly_connect": [396, 397, 398, 399, 1430], "is_semiconnect": [396, 397, 399, 400, 1411], "topo_ord": [398, 459, 460, 470, 1420, 1429], "semiconnect": [398, 1411, 1415], "direction": 400, "kosaraju": 401, "add_cycl": [401, 407, 408, 451, 453, 1056, 1057, 1413, 1416, 1420], "number_weakly_connected_compon": [404, 405], "number_strongly_connected_compon": [404, 406], "kosaraju_strongly_connected_compon": 407, "r827335e01166": 407, "nuutila": [407, 408], "nonrecurs": [407, 455], "160": [407, 408], "soisalon": [407, 408], "soinen": [407, 408], "re7cb971df765": 408, "flow_func": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 504, 505, 508, 509, 1411], "residu": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 1281, 1282, 1283, 1411], "maximum_flow": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 502, 503, 505, 508, 509, 511, 512, 1411], "edmonds_karp": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 504, 505, 508, 509, 511, 512, 1404, 1411], "all_pair": 410, "edge_connect": [410, 411, 413, 415, 416, 417, 418, 419, 420, 424, 428, 1411], "local_edge_connect": [410, 412, 414, 416, 427], "preflow_push": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 504, 505, 508, 509, 512, 1411], "shortest_augmenting_path": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 496, 500, 501, 502, 504, 505, 508, 509, 511, 1411], "kappa": [411, 1241], "kappa_": 411, "beinek": [411, 1223], "oellermann": 411, "pippert": 411, "252": 411, "s0012365x01001807": 411, "k_edge_compon": [412, 425, 428, 429, 1417], "k_edge_subgraph": [412, 425, 426, 427, 1417], "abdol": [412, 413, 415, 416, 417, 419, 432, 485], "hossein": [412, 413, 415, 416, 417, 419, 432, 485, 1416], "esfahanian": [412, 413, 415, 416, 417, 419, 432, 485], "cse": [412, 413, 415, 416, 417, 419, 432, 485], "msu": [412, 413, 415, 416, 417, 419, 432, 485], "cse835": [412, 413, 415, 416, 417, 419, 432, 485], "graph_connectivity_revis": [412, 413, 415, 416, 417, 419, 432, 485], "icosahedr": [412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1260], "icosahedral_graph": [412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 480, 1411], "skew": [412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1411], "ford": [413, 634, 635, 637, 638, 659, 661, 666, 1407, 1415, 1416, 1418], "fulkerson": [413, 1415], "build_auxiliary_edge_connect": [413, 418, 420], "build_residual_network": [413, 414, 418, 419, 420, 421], "minimum_node_cut": [414, 416, 418, 419, 1411], "v_a": 414, "v_b": 414, "u_b": 414, "u_a": 414, "kammer": [414, 433], "frank": [414, 433, 734, 1223, 1329], "hanjo": [414, 433], "taubig": [414, 433], "augsburg": 414, "personen": 414, "graph_connect": 414, "build_auxiliary_node_connect": [414, 419, 421], "destroi": [416, 417, 418, 419], "minimum_st_edge_cut": [416, 1416], "stoer_wagn": [416, 417, 418, 419, 1411], "minimum_st_node_cut": [417, 1421], "minimum_cut": [417, 418, 496, 500, 501, 502, 504, 505, 509, 511, 512, 1411], "minimum_edge_cut": [417, 418, 419, 1411], "node_cut": 417, "node_disjoint_path": 420, "edge_disjoint_path": 421, "imposs": [422, 423, 424, 536, 546], "is_locally_k_edge_connect": 422, "is_k_edge_connect": 423, "partial_k_edge_augment": 424, "networkxunfeas": [424, 457, 459, 466, 467, 468, 470, 498, 506, 507, 510, 591, 1046, 1187, 1331], "auxillarygraph": 425, "slow": [425, 555, 782, 1041, 1064, 1069, 1085], "tianhao": [425, 427], "0136264": [425, 427], "aux_graph": 425, "primarilli": 425, "connctiv": 428, "zhou": [428, 575, 594], "491": [428, 451], "openproceed": 428, "conf": [428, 693, 1326, 1327, 1421, 1422], "edbt": 428, "zhoulylcl12": 428, "all_node_cut": [429, 1404, 1416], "appendix": 429, "www2": 429, "asanet": 429, "asrfeb03moodywhit": 429, "541": [429, 430], "onlinelibrari": [429, 430], "wilei": [429, 430], "1002": [429, 430, 521, 754], "3230230604": [429, 430], "sequenti": [430, 606, 1141, 1149, 1150, 1187, 1309], "dimension": [430, 1217, 1218, 1220, 1221, 1414], "heap": [431, 498, 1308, 1411], "binaryheap": [431, 498, 1411], "stoer": [431, 760, 1411, 1415], "fibonacci": 431, "unit": [431, 498, 499, 503, 506, 507, 510, 512, 682, 1114, 1202, 1203, 1204, 1221, 1281, 1282, 1283, 1416, 1421, 1422, 1425], "minheap": [431, 498], "stock": [431, 498], "pairingheap": [431, 498, 1411], "despit": [431, 498, 1302, 1411], "asymptot": [431, 498, 699, 1245, 1411], "chapter": [432, 1198, 1266], "book": [432, 753, 1150], "va": [433, 1284, 1285], "vb": 433, "ub": 433, "ua": [433, 1284, 1285], "31955": 433, "9_7": 433, "core_numb": [435, 436, 437, 438, 440, 760], "corona": [436, 608, 1406, 1415, 1434], "cornoa": 436, "bootstrap": 436, "phenomena": 436, "nonloc": 436, "goltsev": [436, 1159], "056101": 436, "crust": [437, 1406, 1415], "shai": [437, 438], "carmi": [437, 438], "shlomo": [437, 438], "havlin": [437, 438], "kirkpatrick": [437, 438], "shavitt": [437, 438], "eran": [437, 438], "shir": [437, 438], "vol": [437, 438, 459, 593, 608, 627, 672, 677, 682, 721, 722, 735, 764, 772, 1208, 1209, 1293, 1294, 1298, 1308], "104": [437, 438, 522, 523], "11150": [437, 438], "11154": [437, 438], "k_corona": [438, 760], "truss": [439, 1420, 1421], "burkhardt": 439, "vanc": 439, "faber": 439, "harri": [439, 1416, 1417, 1421], "1806": 439, "05523v2": 439, "jonathan": [439, 683, 1419, 1421], "cohen": [439, 481, 1211, 1420], "od_lay": 440, "011023": 440, "physrevx": 440, "max_weight_match": [442, 585, 760, 1417], "min_cov": 442, "hopcraft_karp_match": 442, "expans": [443, 446, 447, 448, 621], "quotient": [443, 444, 446, 447, 448, 590, 1404, 1415, 1422], "edge_expans": [443, 444, 447, 448, 449, 450, 760], "mixing_expans": [443, 446, 448, 760], "node_expans": [443, 446, 447, 760], "vadhan": [443, 447, 448], "salil": [443, 447, 448], "pseudorandom": [443, 447, 448, 1334], "trend": [443, 447, 448], "1561": [443, 447, 448], "0400000010": [443, 447, 448], "normalized_cut_s": [444, 450, 760], "gleich": [444, 449, 450], "home": [444, 449, 450, 566, 569, 572, 573, 1160], "dgleich": [444, 449, 450], "202005": [444, 449, 450], "20hierarch": [444, 449, 450], "20direct": [444, 449, 450], "20spectral": [444, 449, 450], "boundary_expans": [446, 447, 448, 760], "fan": [446, 522, 523, 1185, 1199, 1289, 1290, 1292], "chung": [446, 522, 523, 1185, 1199, 1289, 1290, 1292], "cbm": [446, 1292], "0315": 446, "ucsd": 446, "edge_boundari": [450, 760, 1415, 1422], "summat": [451, 1204, 1284, 1285], "kirchhoff": 451, "law": [451, 522, 523, 694, 1171, 1181, 1243, 1244, 1322, 1325], "simple_cycl": [451, 452, 453, 454, 760, 1410, 1419, 1429], "cacm": 451, "paton": 451, "sept": 451, "514": 451, "518": 451, "arbitrarili": [452, 654, 712, 713, 714, 715, 716, 717, 719, 720, 721, 735, 1288], "networkxnocycl": [452, 1046, 1331], "polytre": [452, 745, 793], "cycle_basi": [453, 454, 455, 760], "kavitha": 453, "telikep": 453, "9064": 453, "pina": 453, "1995": [453, 459, 592, 690, 1211], "ph": 453, "thesi": [453, 496, 1204, 1211], "amsterdam": [453, 457], "netherland": 453, "elementari": [454, 455], "ram": [454, 1421], "84": [454, 455, 621, 762, 1332], "1975": [454, 455], "0204007": [454, 455], "loizou": 455, "thanish": 455, "182": 455, "1982": 455, "szwarcfit": [455, 457], "lauer": 455, "192": 455, "204": 455, "selfloop_edg": [455, 1078, 1083, 1181, 1183, 1228, 1402, 1413, 1416, 1420, 1422], "bayesian_network": 456, "_all_": 457, "nonuniqu": [457, 468], "topological_sort_ord": 457, "jaym": 457, "1974": [457, 762], "arrang": [457, 466, 1127, 1129], "157": [457, 1326, 1327], "issn": [457, 1170, 1222, 1329], "90001": 457, "north": 457, "holland": [457, 1179], "incompar": [459, 466], "jipsen": [459, 1404], "franco": [459, 1404], "saliola": [459, 1404], "sagemath": 459, "lattic": [459, 683, 684, 784, 1201, 1219, 1221, 1331, 1421, 1431], "frees": 459, "jezek": 459, "am": [459, 1257, 1277, 1329], "226": 459, "default_weight": [460, 461], "longest": [460, 461, 682, 1434], "dag_longest_path_length": [460, 760, 1416], "all_simple_path": [460, 461, 679, 682, 760, 1404, 1415, 1417, 1423, 1432], "all_topological_sort": [460, 760], "dag_longest_path": [461, 760, 1416, 1417, 1429], "recognit": [462, 557, 673, 674, 675, 676, 737, 739, 760, 764, 1411, 1415, 1420], "forest": [462, 621, 736, 737, 738, 739, 743, 744, 793, 1387, 1388, 1415], "parent": [462, 484, 579, 592, 793, 1278, 1349, 1387], "sub": [462, 764, 782], "biject": [462, 681, 731, 733, 793, 1279], "hasacycl": [462, 1046, 1331], "idempot": 462, "prefix_tre": [462, 1417, 1422], "examin": [462, 564, 654, 762, 1332], "diamond": [462, 1221, 1253], "abd": 462, "acd": 462, "ancestor": [463, 467, 577, 578, 579, 760, 1331, 1410, 1415, 1422, 1423, 1431, 1434], "aperiod": 464, "jarvi": 464, "shier": 464, "1996": [464, 516, 520], "walleniu": 464, "crc": [464, 516, 520], "coprim": 464, "topological_sort": [465, 466, 467, 760, 1413, 1420], "lexicograph": [466, 609, 1150], "downstream": 466, "sortabl": [466, 558, 559, 560, 1223, 1416, 1429], "proof": [466, 468, 478, 516, 519, 618, 1213], "manber": [466, 468], "stratifi": 467, "is_directed_acyclic_graph": [468, 760, 1410], "lexicographical_topological_sort": [468, 760, 1416, 1420, 1431], "line_graph": [468, 764], "reflex": [469, 588], "partialord": 469, "treatment": [469, 777, 933, 979, 1042, 1043, 1049, 1421, 1425, 1426], "nontrivi": [469, 1255], "transitive_closur": [470, 760, 1420, 1423], "tr": 471, "d_g": 472, "median": [472, 1423], "shortest_path_length": [472, 510, 644, 646, 655, 755, 760, 1111, 1407, 1408, 1415], "usebound": [473, 474, 476, 477, 1425], "barycent": [473, 476, 760, 1420], "ecc": 475, "nodea": 478, "nodeb": 478, "invert_weight": 478, "akin": 478, "resistors": 478, "proper": [478, 620, 724, 1045, 1415, 1423, 1426], "rd": 478, "matlab": 478, "weisstein": [478, 479, 480, 481, 620, 1206], "mathworld": [478, 479, 480, 481, 620, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263], "wolfram": [478, 479, 480, 481, 620, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263], "resistancedist": 478, "vo": 478, "mestrado": 478, "mathematisch": 478, "instituut": 478, "universiteit": 478, "universiteitleiden": 478, "asset": 478, "mi": 478, "scripti": 478, "vos_vaya_mast": 478, "625": 478, "b_i": [479, 480], "c_0": 479, "a_0": 479, "b_0": [479, 480], "c_1": [479, 480], "b_1": [479, 480], "c_d": [479, 480], "a_d": 479, "b_d": 479, "c_2": [479, 480], "a_i": 479, "intersection_arrai": [479, 481, 760], "globalparamet": 479, "dodecahedral_graph": [479, 1136, 1139, 1140, 1141, 1142, 1143, 1248, 1436], "global_paramet": [480, 481, 760], "intersectionarrai": 480, "brouwer": 481, "neumaier": 481, "regulargraph": 481, "hypercube_graph": [481, 1329], "is_distance_regular": [482, 760], "frontier": [483, 1404, 1416], "cooper": [483, 484], "harvei": [483, 484], "kennedi": [483, 484], "110": [483, 484, 689, 691, 798, 1040, 1042, 1043], "idom": 484, "start_with": 485, "is_dominating_set": [485, 760], "dominating_set": [486, 760, 1433], "local_effici": [487, 488, 760], "global_effici": [487, 489, 760], "latora": [487, 488, 489], "vito": [487, 488, 489], "massimo": [487, 488, 489], "marchiori": [487, 488, 489], "198701": [487, 488, 489], "916666666667": 488, "9166666666666667": 489, "eulerian": [490, 491, 492, 493, 494, 495, 760, 1331, 1411, 1415, 1416, 1420, 1422, 1426], "is_eulerian": [490, 492, 493, 495, 760], "euler": [490, 491, 493, 760, 1411, 1418, 1420, 1434], "edmond": [490, 492, 501, 583, 721, 760, 793, 1411], "chines": [490, 492], "postman": [490, 492], "eulerian_path": [490, 492, 493, 760], "eulerian_circuit": [492, 760, 1411], "princeton": 492, "math_al": 492, "notes1": 492, "iff": [493, 495, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 527, 537, 618, 619, 764, 1281], "has_eulerian_path": [495, 760, 1422, 1426], "value_onli": [496, 500, 501, 504, 505, 508, 509, 511, 512, 1411], "commod": [496, 500, 501, 504, 505, 511, 512], "boykov": [496, 760, 1416], "kolmogorov": [496, 760, 1416], "unabl": [496, 500, 501, 512, 1357, 1358, 1383, 1384], "networkxunbound": [496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 654, 660, 1046, 1331], "unbound": [496, 498, 500, 501, 503, 504, 505, 506, 507, 510, 511, 512, 634, 1046], "flow_valu": [496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 1411], "vision": 496, "transact": [496, 608, 764], "1124": 496, "tpami": 496, "camera": 496, "reconstruct": [496, 633, 692, 788], "phd": [496, 1211], "cornel": [496, 566, 569, 572, 573], "109": [496, 1179], "20170809091249": 496, "vnk": 496, "maximum_flow_valu": [496, 500, 501, 503, 504, 508, 509, 511, 512, 1411], "source_tre": 496, "target_tre": 496, "incur": [498, 499, 503, 506, 507, 510], "flowcost": [498, 507, 510], "flowdict": [498, 499, 503, 506, 510], "situat": [498, 506, 507, 510, 1306], "network_simplex": [498, 499, 503, 506, 507], "spam": [498, 510, 607, 609, 612, 613, 1436], "vacanc": [498, 510], "max_flow_min_cost": [499, 506, 507, 510], "min_cost_flow": [499, 503, 507, 510], "min_cost_flow_cost": [499, 503, 506, 510], "overflow": [499, 503, 506, 507, 510, 655, 662, 669, 1302], "roundoff": [499, 503, 506, 507, 510, 655, 662, 669], "workaround": [499, 503, 506, 507, 510, 600, 1416, 1422, 1428, 1429], "multipli": [499, 503, 506, 507, 510, 1270], "eg": [499, 503, 506, 507, 510, 516, 750], "yefim": 500, "3895": [500, 1421], "218": 500, "11685654_10": 500, "gomori": [502, 760, 1420], "hu": [502, 760, 1420], "gusfield": 502, "comori": 502, "155": 502, "1990": [502, 740, 1261], "minimum_edge_weight_in_shortest_path": 502, "minimum_cut_valu": [502, 504, 505, 508, 1411], "boykov_kolmogorov": [502, 1433], "cost_of_flow": [503, 506, 507, 510], "mincostflow": 503, "mincost": [503, 510, 1408], "373": 503, "maxflow": 503, "mincostflowvalu": 503, "flowg": [504, 505, 508, 509], "_t": [504, 505, 508, 509], "capacit": [504, 505, 508, 509], "outflow": [504, 505], "flow_dict": [504, 1411], "non_reach": 508, "simplex": [510, 760, 1404, 1416], "kirali": 510, "kovac": 510, "universitati": 510, "sapientia": 510, "118": 510, "barr": 510, "glover": 510, "klingman": 510, "infor": 510, "global_relabel_freq": 511, "preflow": [511, 760, 1411], "disabl": [511, 1417], "two_phas": 512, "edge_attr": [513, 514, 1042, 1043, 1103, 1121, 1284, 1285], "digest_s": [513, 514], "weisfeil": [513, 514, 756, 1421, 1423], "lehman": [513, 514, 756, 1421, 1423], "wl": [513, 514], "blake2b": [513, 514], "digest": [513, 514], "hexadecim": 513, "weisfeiler_lehman_subgraph_hash": [513, 760], "shervashidz": [513, 514], "nino": [513, 514], "schweitzer": [513, 514], "erik": [513, 514, 1422, 1428, 1434], "leeuwen": [513, 514], "karsten": [513, 514], "borgwardt": [513, 514], "kernel": [513, 514, 1188, 1241], "volume12": [513, 514], "shervashidze11a": [513, 514], "7bc4dde9a09d0b94c5097b219891d81a": 513, "c653d85538bcf041d88c011f4f905f10": 513, "3dcd84af1ca855d0eff3c978d88e7ec7": 513, "hop": [514, 642], "concaten": 514, "2i": 514, "seen": [514, 642, 1332, 1422, 1436], "graph2vec": 514, "node_subgraph_hash": 514, "weisfeiler_lehman_graph_hash": [514, 760, 1423], "annamalai": 514, "narayanan": 514, "mahinthan": 514, "chandramohan": 514, "rajasekar": 514, "venkatesan": 514, "lihui": 514, "chen": 514, "yang": 514, "shantanu": 514, "jaiswa": 514, "1707": 514, "05005": 514, "g1_hash": 514, "g2_hash": 514, "a93b64973cfc8897": 514, "db1b43ae35a1878f": 514, "57872a7d2059c1c0": 514, "1716d2a4012fa4bc": 514, "conclud": 514, "in_sequ": 515, "out_sequ": 515, "kleitman": [515, 1184, 1186], "valenc": [515, 1184, 1186], "hh": 516, "gallai": [516, 519, 1407, 1415], "eg1960": [516, 519], "choudum1986": 516, "havel1955": [516, 520], "hakimi1962": [516, 520], "cl1996": [516, 520], "lapok": [516, 519], "264": [516, 519], "1960": [516, 519, 1223], "choudum": 516, "bulletin": 516, "australian": 516, "1017": [516, 1245], "s0004972700002872": 516, "remark": [516, 520], "casopi": [516, 520], "pest": [516, 520], "477": [516, 520], "1955": [516, 520, 1416], "appl": [516, 520], "496": [516, 517, 520, 1186], "506": [516, 517, 520, 1186, 1407, 1415], "1962": [516, 517, 520, 1186, 1206, 1207, 1329, 1416], "chartrand": [516, 520], "lesniak": [516, 520], "chapman": [516, 520], "pseudograph": [518, 1181, 1183], "boesch": [518, 1207], "harari": [518, 1046, 1206, 1207, 1223, 1331, 1419, 1420], "tran": 518, "778": 518, "782": 518, "d_i": 519, "n_j": 519, "durfe": 519, "rearrang": [519, 616], "zz": [519, 520], "265": 519, "420": 519, "zverovich": [519, 520], "303": [519, 520], "luo": 521, "mage": 521, "evolv": [521, 1235], "cplx": 521, "20368": 521, "cmage": 521, "detectingevolvingpatterns_flowhierarchi": 521, "low_memori": [522, 523], "connected": [522, 694], "looser": [522, 523], "stricter": [522, 523], "kl_connected_subgraph": [522, 760], "linyuan": [522, 523], "phenomenon": [522, 523, 627, 1172, 1173, 1201], "hybrid": [522, 523, 760, 1331], "same_as_graph": 523, "is_sam": 523, "is_kl_connect": [523, 760], "out_degr": 525, "node_match": [527, 537, 547, 550, 556, 557, 560, 673, 674, 675, 676, 1408], "edge_match": [527, 537, 547, 548, 549, 554, 555, 557, 558, 559, 673, 674, 675, 676, 1408], "matcher": [527, 537, 762], "u1": [527, 537, 557, 673, 674, 675, 676], "v1": [527, 537, 557, 673, 674, 675, 676, 1088, 1089, 1248, 1405, 1414], "u2": [527, 537, 557, 673, 674, 675, 676], "reiniti": [529, 539], "redefin": [529, 539, 764], "digmstat": 529, "redefinit": [529, 539], "g1_node": [533, 536, 543, 546], "g2_node": [533, 536, 543, 546], "syntact": [536, 546, 764, 1302], "monomorph": [536, 546, 764, 1420], "gmstate": 539, "cach": [547, 628, 629, 1420, 1422, 1426, 1431, 1434], "node_equ": 547, "edge_equ": 547, "houbraken": [547, 763], "demey": [547, 763], "michoel": [547, 763], "audenaert": [547, 763], "coll": [547, 763], "pickavet": [547, 763], "exploit": [547, 763], "e97896": [547, 763], "0097896": [547, 763], "graph1": [547, 763, 1315], "node1": [547, 577, 578], "graph2": [547, 763, 1315], "node2": [547, 577, 578], "edge1": 547, "edge2": 547, "categorical_node_match": [547, 557, 1408], "categorical_edge_match": [547, 557, 1408], "iso": [548, 549, 550, 557, 558, 559, 560, 1408], "op": [554, 555, 556], "isclos": [554, 555, 556, 1423], "dgeattribut": 555, "generic_node_match": [555, 1408], "numerical_node_match": [557, 1408], "numerical_edge_match": [557, 1408], "numerical_multiedge_match": [557, 1408], "categorical_multiedge_match": 557, "cordella": [557, 764], "foggia": [557, 764], "sanson": [557, 764], "vento": [557, 764], "iapr": [557, 764], "tc15": [557, 764], "cuen": [557, 764], "159": [557, 764], "200034365_an_improved_algorithm_for_matching_large_graph": [557, 764], "em": 557, "rtol": [557, 558, 559, 560], "atol": [558, 559, 560], "t1": [561, 562], "root1": 561, "t2": [561, 562], "root2": 561, "subroutin": 561, "tree_isomorph": [561, 1421], "somewhat": [561, 1171], "node_label": [563, 564, 565, 762, 1123, 1127, 1128, 1129, 1132], "default_label": [563, 564, 565], "langvil": [566, 568], "meyer": [566, 568], "cites": [566, 568, 694], "713792": [566, 568], "authorit": 566, "hyperlink": 566, "604": 566, "324133": 566, "324140": 566, "kleinber": [566, 569, 572, 573], "auth": 566, "85": [567, 568, 1235], "dangl": [567, 568], "damp": [567, 568], "outedg": [567, 568], "irreduc": [567, 568], "stationari": 567, "di": [567, 654, 660, 682, 764, 1067, 1332, 1404, 1413, 1416, 1434], "lawrenc": [568, 1421], "brin": 568, "sergei": [568, 683, 685], "motwani": 568, "rajeev": 568, "winograd": 568, "terri": 568, "dbpub": 568, "8090": 568, "showdoc": 568, "fulltext": 568, "lang": [568, 721, 735, 1045], "adam": [569, 1417, 1420, 1434], "adar": 569, "piter": [569, 570, 571, 572, 573, 574, 575, 576], "liben": [569, 572, 573], "nowel": [569, 572, 573], "8f": [569, 572, 574, 575, 576], "16404256": 569, "bonu": 570, "sucheta": [570, 574], "soundarajan": [570, 574], "21st": [570, 574, 576], "companion": [570, 574], "ny": [570, 574, 1326, 1327], "607": [570, 574], "608": [570, 574], "2187980": [570, 574], "2188150": [570, 574], "ccpa": [571, 1421], "parameter": 571, "vital": [571, 753, 760, 1331, 1408, 1415], "prestig": 571, "common_neighbor": 571, "ahmad": 571, "akhtar": 571, "noor": 571, "364": 571, "57304": 571, "4000000000000004": 571, "60000000": 572, "alloc": [574, 575], "50000000": 574, "eur": 575, "623": 575, "0901": 575, "0553": 575, "75000000": 575, "wic": 576, "jorg": [576, 1421], "carlo": [576, 764, 1421, 1422], "valverd": 576, "rebaza": 576, "alneu": 576, "andrad": 576, "brazilian": 576, "sbia": 576, "642": 576, "34459": 576, "6_10": 576, "99800200": 576, "33333333": [576, 1284, 1285], "lca": [577, 579, 1431, 1434], "lowest_common_ancestor": [577, 579, 760, 1423, 1431, 1434], "all_pairs_lowest_common_ancestor": [578, 579, 760, 1431, 1434], "ackermann": 579, "ever": [579, 602, 1041], "715": 579, "322154": 579, "322161": 579, "is_maximal_match": [580, 760, 1423], "my_match": 582, "blossom": 583, "invent": 583, "jack": [583, 1417], "zvi": 583, "galil": [583, 1197, 1404], "subtract": [585, 1115], "new_weight": 585, "max_weight": 585, "self_loop": [586, 587, 589, 1191], "unmodifi": [586, 587, 589, 1411], "contracted_nod": [586, 589, 590, 760, 1421], "c5": 586, "contracted_edg": [587, 589, 760, 1422], "realign": [587, 589], "identified_nod": [587, 760], "p3": [587, 589], "multiedgeview": [587, 589, 966, 994, 1005, 1006], "is_partit": 588, "congruenc": 588, "remaind": 588, "mod3": 588, "edge_rel": 590, "node_data": [590, 600], "edge_data": [590, 600, 1097, 1422], "meaning": [590, 1436], "per": [590, 628, 629, 677, 684, 686, 763, 1100, 1398, 1422], "patrick": [590, 673, 674, 675, 676], "doreian": 590, "anuska": 590, "ferligoj": 590, "k_2": 590, "same_neighbor": 590, "k2": 590, "condens": [590, 1408, 1415, 1431], "dc": 590, "ea": 590, "ef": 590, "fg": [590, 1436], "gf": 590, "hd": 590, "hf": 590, "component_of": 590, "same_compon": 590, "identif": [590, 790], "k24": 590, "k34": 590, "is_contract": 590, "equivalence_class": [590, 760, 1422], "indep_nod": 591, "wrai": 592, "buntin": 592, "eleventh": 592, "uai": [592, 734], "g_moral": 592, "label_nam": [593, 594], "classif": [593, 594, 760, 1331], "zhu": [593, 772, 1422], "ghahramani": [593, 772], "lafferti": [593, 772], "august": [593, 627, 672, 677, 692, 772, 1228, 1404, 1415, 1421, 1431], "supervis": [593, 772], "gaussian": [593, 772, 1174, 1202, 1203, 1204], "icml": [593, 772], "912": [593, 772], "919": [593, 772], "node_classif": [593, 594, 772, 1423, 1434], "clamp": 594, "bousquet": 594, "lal": 594, "weston": 594, "sch\u00f6lkopf": 594, "neural": [594, 1286, 1296], "328": 594, "nr": 595, "nr_rd": 595, "xiaowei": 595, "ying": 595, "xintao": 595, "composit": 596, "disjoint_union_al": [599, 760], "convert_node_labels_to": 599, "surpris": [600, 1426, 1436], "collis": [600, 602, 606, 1301, 1417], "dark": 600, "light": [600, 1391], "gcomposeh": 600, "renumb": 602, "key1": 602, "key2": [602, 948, 962, 994], "h3": [603, 606, 1045], "h4": [603, 1045], "gh": [604, 1422, 1423, 1426, 1431, 1434], "facil": [606, 1436], "clash": [606, 1417], "h0": 606, "h1": [606, 1045], "h2": [606, 1045], "cartesian": [607, 609, 611, 612], "a1": [607, 609, 612, 613], "a2": [607, 609, 612, 613], "circ": [608, 1223], "carona": 608, "tavakoli": 608, "rahbarnia": 608, "ashrafi": 608, "22108": 608, "toc": 608, "5542": 608, "faraji": [608, 1434], "ali": [608, 1416, 1422, 1434], "blog": [608, 1204, 1257], "alifaraji": 608, "expon": [610, 1171, 1201, 1243, 1244, 1322, 1325], "exercis": 610, "bondi": 610, "murti": [610, 1277, 1329], "tensor": 613, "g_complement": 614, "g_revers": 615, "fully_triangul": 616, "stai": 616, "planarembed": [616, 618, 619, 760, 1113, 1426], "chrobak": 616, "payn": 616, "6677": 616, "incoming_graph_data": [617, 798, 852, 897, 933, 979, 1040, 1042, 1043], "check_planar": [617, 619, 760], "counterclockwis": 617, "check_structur": 617, "is_direct": [617, 1156, 1415], "overridden": [617, 936, 937, 982, 983], "planargraph": 617, "doubli": 617, "emphas": [617, 793], "is_planar": [617, 618, 760, 1426], "fridai": [617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1436], "counterexampl": [618, 1265, 1270], "kuratowski": 618, "9208": 618, "takao": 618, "nishizeki": 618, "md": [618, 1417], "saidur": 618, "rahman": 618, "chromat": [620, 777, 1225, 1277, 1329, 1429], "x_g": 620, "interpol": 620, "k_0": 620, "lagrang": 620, "k_1": 620, "x_": [620, 1325], "formul": 620, "sympi": [620, 621, 777, 1425], "tutt": [620, 621, 777, 1270, 1425], "t_g": [620, 621], "chromaticpolynomi": 620, "goodal": [620, 621], "apost": 620, "204_2018": 620, "julie_zhang_pap": 620, "1968": 620, "mrklug": 620, "readchromat": 620, "s0196885803000411": 620, "stanlei": 620, "rstan": 620, "pubfil": 620, "nulliti": 621, "b_e": 621, "nonempti": [621, 681, 754, 1223], "setminu": [621, 689, 690], "p_e": 621, "t_": 621, "brandt": 621, "talk": 621, "seminar": 621, "brandtm": 621, "bj\u00f6rklund": 621, "husfeldt": 621, "koivisto": 621, "49th": 621, "ieeexplor": [621, 764], "4691000": 621, "shi": [621, 777], "dehmer": [621, 777], "ne\u0161etril": 621, "homomorph": 621, "iuuk": 621, "mff": 621, "cuni": 621, "cz": 621, "coutinho": 621, "dcc": 621, "ufmg": 621, "br": [621, 721, 735], "coutinho_tuttepolynomial_seminar": 621, "elli": 621, "monaghan": 621, "merino": 621, "0803": 621, "3079": 621, "diamond_graph": 621, "indegre": 625, "outdegre": 625, "matching_weight": 626, "meijer": 626, "henk": 626, "yurai": 626, "n\u00fa\u00f1ez": 626, "rappaport": 626, "e_k": 627, "n_k": 627, "doubl": [627, 694, 696, 1105, 1106, 1108, 1253, 1278, 1287, 1302, 1353, 1415], "julian": 627, "mcaulei": 627, "luciano": 627, "fontoura": 627, "costa": 627, "tib\u00e9rio": 627, "caetano": 627, "0701290": 627, "milo": [627, 1422], "kashtan": 627, "itzkovitz": 627, "alon": 627, "0312028": 627, "inadmiss": [628, 629], "overestim": [628, 629], "hidden": [628, 629, 649, 650, 651, 655, 656, 657, 658, 662, 663, 664, 669, 670, 671, 1085], "dijkstra_path": [628, 652, 1332, 1420], "hide": [628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 1041, 1434], "grid_graph": [628, 1329, 1416, 1421], "y1": 628, "y2": 628, "astar_path": [629, 1407], "floyd": [630, 631, 632, 635, 661, 781, 1406, 1415, 1420], "floyd_warshall_predecessor_and_dist": [630, 633, 661], "floyd_warshall_numpi": [630, 632, 661], "all_pairs_shortest_path": [630, 632, 634, 637, 661, 1415, 1436], "floyd_warshal": [632, 639, 647, 650, 1422], "reconstruct_path": 632, "bellman": [634, 635, 637, 638, 659, 661, 666, 1407, 1415, 1416], "single_source_shortest_path": [634, 637, 645, 1415, 1421], "substack": 635, "djikstra": [635, 1423], "warshal": [635, 661, 781, 1420], "all_pairs_dijkstra_path": [637, 647, 661], "all_pairs_bellman_ford_path": [637, 650, 661], "single_source_dijkstra_path": [637, 669], "single_source_bellman_ford_path": [637, 666], "all_pairs_dijkstra_path_length": 638, "all_pairs_bellman_ford_path_length": [638, 661], "single_source_dijkstra_path_length": [638, 669], "single_source_bellman_ford_path_length": [638, 666, 671], "return_seen": [642, 1431], "obj": [649, 1314, 1416, 1421, 1422, 1434], "single_source_dijkstra": [649, 656, 657, 666, 667, 668, 670, 671, 1416, 1420, 1423], "len_path": 649, "bellman_ford_path_length": [652, 657], "dijkstra_path_length": [653, 1416], "bellman_ford_path": [653, 656], "find_negative_cycl": [654, 1423, 1426], "forev": 654, "hopefulli": 654, "ordinari": [655, 1423], "sphere": 655, "bidirectional_dijkstra": [656, 657, 1421], "func": [656, 1014, 1049, 1302, 1404, 1416, 1420, 1421], "node_u_wt": 656, "node_v_wt": 656, "edge_wt": 656, "bellman_ford_predecessor_and_dist": [661, 665, 1416, 1417], "multi_source_dijkstra_path": [662, 754], "multi_source_dijkstra_path_length": 662, "cookbook": [662, 669], "119466": [662, 669], "activest": [662, 669], "multi_source_dijkstra": [663, 664, 1416], "multi_source_bellman_ford": 663, "anywher": 665, "magnitud": [665, 1115, 1404], "negative_cycl": 665, "single_source_bellman_ford": [667, 668, 669, 670], "sample_s": 672, "index_map": 672, "tang": [672, 677], "tong": [672, 677], "jing": [672, 677], "panther": [672, 677, 1422], "sigkdd": [672, 677, 678, 692], "knowledg": [672, 677, 678, 692], "1445": [672, 677, 1404, 1416], "1454": [672, 677], "machineri": [672, 677, 1041], "2783258": [672, 677], "2783267": [672, 677], "random_path": 672, "paths_containing_node_0": 672, "path_idx": 672, "node_subst_cost": [673, 674, 675, 676], "node_del_cost": [673, 674, 675, 676], "node_ins_cost": [673, 674, 675, 676], "edge_subst_cost": [673, 674, 675, 676], "edge_del_cost": [673, 674, 675, 676], "edge_ins_cost": [673, 674, 675, 676], "upper_bound": [673, 674, 675, 676], "timeout": [673, 675, 1421], "ged": [673, 675, 676, 782, 1421], "levenshtein": [673, 676], "optimal_edit_path": [673, 675, 760], "optimize_graph_edit_dist": [673, 675, 760, 782], "zeina": [673, 674, 675, 676], "aisheh": [673, 674, 675, 676], "raveaux": [673, 674, 675, 676], "yve": [673, 674, 675, 676], "ramel": [673, 674, 675, 676], "martineau": [673, 674, 675, 676], "4th": [673, 674, 675, 676], "lisbon": [673, 674, 675, 676], "portug": [673, 674, 675, 676], "5220": [673, 674, 675, 676], "0005209202710278": [673, 674, 675, 676], "01168816": [673, 674, 675, 676], "edit_path": 674, "node_edit_path": [674, 675], "edge_edit_path": [674, 675], "graph_edit_dist": [674, 675, 676, 760, 782], "optimize_edit_path": [674, 676, 760, 782], "strictly_decreas": 675, "minv": 676, "ep": 677, "sim": [677, 678, 1422], "importance_factor": 678, "0001": [678, 1120], "simrank": [678, 1420], "referenc": 678, "in_neighbors_u": 678, "in_neighbors_v": 678, "decai": [678, 1201], "jeh": 678, "widom": 678, "kdd": [678, 1213, 1214], "eighth": 678, "538": 678, "543": 678, "sim_1d": 678, "path_gener": [679, 680, 682], "all_shortest_path": [679, 680, 682, 760, 1421], "k0": 679, "has_path": [680, 760], "functool": 680, "chaini": 680, "from_iter": 680, "all_path": 680, "jin": [682, 1419, 1421], "yen": [682, 1404], "kn": [682, 688, 1206], "loopless": 682, "jul": 682, "1971": 682, "712": 682, "716": 682, "k_shortest_path": 682, "rewir": [683, 684, 685, 686, 1171, 1173, 1177, 1213, 1216, 1231, 1235, 1247, 1415], "diagon": [683, 1105, 1106, 1108, 1215, 1221, 1223, 1259, 1286, 1287, 1289, 1290, 1291, 1292], "sporn": 683, "maslov": [683, 685], "sneppen": [683, 685], "olaf": 683, "zwi": 683, "cerebr": 683, "cortex": 683, "neuroinformat": 683, "162": 683, "protein": [683, 685, 1193, 1436], "5569": [683, 685], "910": [683, 685, 1187], "913": [683, 685], "nrand": [684, 686], "lr": [684, 686], "cl": 684, "telesford": 684, "joyc": 684, "hayasaka": 684, "burdett": 684, "laurienti": 684, "ubiqu": 684, "brain": 684, "0038": 684, "pmc": 684, "3604768": 684, "pmid": [684, 686], "22432451": 684, "1089": 684, "humphri": 686, "brainstem": 686, "reticular": 686, "gurnei": 686, "prescott": 686, "roi": 686, "273": 686, "503": 686, "511": 686, "1098": 686, "rspb": 686, "3354": 686, "quantit": 686, "18446219": 686, "0002051": 686, "norm": [687, 1415], "lun": 687, "alderson": 687, "doyl": 687, "walter": 687, "implic": 687, "0501169": 687, "stretch": 688, "e_": 688, "baswana": 688, "sen": 688, "vega": 688, "km": 688, "struct": [688, 1175, 1211], "532": 688, "563": 688, "invest": 689, "ell": [689, 691], "local_constraint": [689, 760], "burt": [689, 690, 691], "ronald": [689, 690, 691, 1149, 1150, 1272], "hole": [689, 690, 691, 760, 1331], "349": [689, 691], "399": [689, 691], "her": [690, 1263], "nonredund": 690, "p_": [690, 691, 1152, 1185, 1199], "m_": [690, 1224], "esiz": 690, "harvard": 690, "v20": 690, "wv": 691, "decompress": [692, 1348], "maccioni": 692, "abadi": 692, "1755": 692, "1764": 692, "umd": 692, "dedens": 692, "c_graph": 692, "densifi": 692, "all_neighbor": 692, "out_neighbor": [692, 1415], "in_neighbor": [692, 1415], "supernod": [693, 788], "supernode_attribut": 693, "superedge_attribut": 693, "viewer": 693, "tian": 693, "hankin": 693, "patel": 693, "sigmod": 693, "567": 693, "580": 693, "vancouv": 693, "canada": 693, "nswap": [694, 695, 696], "_window_threshold": 694, "window": [694, 1405, 1415, 1420, 1422], "gkantsidi": 694, "mihail": 694, "zegura": 694, "gkantsidis03markov": 694, "max_tri": [695, 696], "trio": 695, "p\u00e9ter": [695, 762], "4913": 695, "48550": 695, "elec": 695, "r66": 695, "volume_17": 695, "v17i1r66": 695, "stackexchang": 695, "22272": 695, "threshold_graph": [697, 698], "tournament": [699, 700, 701, 702, 703, 704, 760, 1331, 1422, 1426], "undefin": [700, 701], "tantau": [700, 701], "till": [700, 701], "electron": [700, 701, 1210, 1277, 1292, 1329], "colloquium": [700, 701], "eccc": [700, 701], "hpi": [700, 701], "092": [700, 701], "uniformli": [703, 1114, 1189, 1190, 1191, 1199, 1202, 1203, 1204, 1205, 1231, 1232, 1237, 1242, 1247, 1279, 1325], "binom": 703, "coin": 703, "sooner": 705, "depth_limit": [706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 1434], "sort_neighbor": [706, 708, 709, 710], "bfs_tree": [706, 708, 709, 714, 715, 717, 718, 719], "dfs_edg": [706, 713, 714, 716, 720], "edge_bf": [706, 708, 709, 710], "limited_search": [706, 712], "bfs_edg": [708, 709, 710, 712, 716, 719], "succ": [709, 717, 1022, 1023, 1024, 1025, 1332, 1425, 1434], "dfs_tree": [710, 1415, 1416], "edge_df": [712, 714, 715, 717, 718, 719, 1404, 1415], "dfs_preorder_nod": [712, 713, 714, 715, 717, 718, 1420], "dfs_postorder_nod": [712, 713, 715, 716, 717, 718], "dfs_labeled_edg": [712, 714, 715, 716, 717, 718, 1416, 1434], "flavor": [713, 1332], "transcript": 713, "breadth_first_search": 719, "init_partit": 721, "broken": [721, 735, 1413, 1416, 1422, 1425, 1434], "janssen": [721, 735], "s\u00f6rensen": [721, 735], "pesquisa": [721, 735], "operacion": [721, 735], "219": [721, 735], "229": [721, 735], "scielo": [721, 735], "pope": [721, 735], "xhswbwrwjyrfl88dmmwynwp": [721, 735], "included_edg": 721, "excluded_edg": 721, "bureau": 722, "1967": [722, 793, 1416], "71b": [722, 793], "233": [722, 793], "jresv71bn4p233": [722, 793], "edgepartit": [725, 726, 727, 728], "enum": [725, 726, 727, 728], "sensible_relabel": 730, "sensible_label": 730, "to_nested_tupl": [730, 733], "from_prufer_sequ": [730, 733, 1279], "pr\u00fcfer": [731, 733, 793, 1279], "from_nested_tupl": [731, 732], "to_prufer_sequ": [731, 732], "xiaodong": [731, 733], "lei": [731, 733], "yingji": [731, 733], "prufer": [731, 733, 1420], "4236": [731, 733], "jsea": [731, 733], "22016": [731, 733], "tree2": [731, 733], "canonical_form": 732, "lighter": 732, "heavier": 732, "sepset": 734, "bipartiti": 734, "junction_tree_algorithm": 734, "finn": 734, "tenth": 734, "360": 734, "366": 734, "ignore_nan": [735, 736, 737, 738, 739], "kruskal": [735, 736, 737, 738, 739, 1403, 1415, 1416], "nan": [735, 736, 737, 738, 739, 1105, 1106, 1415, 1420, 1422], "prim": [736, 737, 738, 739, 1406, 1415, 1416, 1420, 1425], "boruvka": [736, 737, 738, 739], "bor\u016fvka": [736, 737, 738, 739, 1416], "april": [736, 738, 1415, 1419, 1425], "mst": [736, 738, 1416, 1420, 1425], "edgeless": [737, 739], "verison": 740, "a8": 740, "kulkarni": 740, "185": 740, "rooted_tre": 741, "label_attribut": [741, 1123, 1132, 1300], "_old": 741, "overwrit": [741, 1088, 1136, 1404], "joined_tre": 741, "is_tre": [742, 1426], "is_forest": [743, 1426], "is_branch": 744, "polyforest": [744, 793], "is_arboresc": 745, "istriad": 748, "tie": 750, "vice": [750, 1199], "versa": [750, 1199], "20170830032057": [750, 752], "uk": [750, 752], "trans_triads_ha": [750, 752], "censu": [751, 1404, 1415, 1426], "triad_graph": 751, "andrej": 751, "mrvar": 751, "subquadrat": 751, "ljubljana": 751, "suppos": [752, 762, 764, 1278], "tri_by_typ": 752, "wiener_index": [753, 760], "infin": [753, 755, 1202, 1203, 1204], "wiener": [753, 755, 760, 1331], "ttnhsm7hyric": 753, "erwig": 754, "martin": [754, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1424], "156": [754, 1211], "1097": 754, "0037": 754, "200010": 754, "net2": 754, "graphi": 757, "is_at_fre": 760, "has_bridg": [760, 1432], "local_bridg": 760, "dispers": [760, 1411, 1416, 1417, 1433, 1434], "voterank": [760, 1419, 1421, 1427, 1434], "is_chord": 760, "chordal_graph_cliqu": [760, 1421, 1434], "chordal_graph_treewidth": 760, "complete_to_chordal_graph": 760, "find_induced_nod": 760, "enumerate_all_cliqu": [760, 1404, 1415], "make_max_clique_graph": 760, "graph_clique_numb": [760, 1422], "graph_number_of_cliqu": 760, "node_clique_numb": [760, 1415], "number_of_cliqu": [760, 1415], "cliques_containing_nod": [760, 1415], "max_weight_cliqu": [760, 1421], "generalized_degre": 760, "equitable_color": [760, 1428], "strategy_connected_sequenti": 760, "strategy_connected_sequential_df": 760, "strategy_connected_sequential_bf": 760, "strategy_largest_first": 760, "strategy_random_sequenti": 760, "strategy_saturation_largest_first": [760, 1434], "semiconnected": 760, "k_core": [760, 1416], "k_shell": 760, "k_crust": [760, 1422], "k_truss": 760, "onion_lay": 760, "min_edge_cov": [760, 1426], "is_edge_cov": 760, "recursive_simple_cycl": 760, "find_cycl": [760, 1404, 1415, 1416, 1421, 1422], "minimum_cycle_basi": 760, "is_aperiod": 760, "transitive_closure_dag": 760, "transitive_reduct": [760, 1416], "antichain": [760, 1404, 1415], "resistance_dist": [760, 1423], "is_strongly_regular": 760, "immediate_domin": [760, 1404, 1415], "dominance_fronti": [760, 1404], "is_semieulerian": 760, "is_digraph": 760, "is_pseudograph": 760, "is_valid_degree_sequence_havel_hakimi": 760, "is_valid_degree_sequence_erdos_gallai": 760, "flow_hierarchi": 760, "is_isol": 760, "number_of_isol": 760, "could_be_isomorph": 760, "fast_could_be_isomorph": 760, "faster_could_be_isomorph": 760, "resource_allocation_index": 760, "jaccard_coeffici": 760, "adamic_adar_index": [760, 1420], "preferential_attach": 760, "cn_soundarajan_hopcroft": 760, "ra_index_soundarajan_hopcroft": 760, "within_inter_clust": 760, "common_neighbor_centr": [760, 1421, 1423], "tree_all_pairs_lowest_common_ancestor": 760, "is_match": [760, 1422, 1423], "is_perfect_match": 760, "maximal_match": [760, 1416], "maximal_independent_set": [760, 1429], "non_random": 760, "harmonic_funct": [760, 772], "local_and_global_consist": 760, "symmetric_differ": 760, "full_join": [760, 1170], "compose_al": 760, "union_al": 760, "intersection_al": 760, "cartesian_product": 760, "lexicographic_product": 760, "rooted_product": 760, "strong_product": 760, "tensor_product": [760, 1416], "corona_product": 760, "combinatorial_embedding_to_po": 760, "tutte_polynomi": 760, "chromatic_polynomi": 760, "overall_reciproc": 760, "is_regular": [760, 1421], "is_k_regular": 760, "k_factor": 760, "rich_club_coeffici": 760, "average_shortest_path_length": [760, 1407, 1408, 1420], "simrank_similar": [760, 1421, 1422], "panther_similar": 760, "generate_random_path": 760, "all_simple_edge_path": 760, "is_simple_path": [760, 1434], "shortest_simple_path": [760, 1417], "random_refer": [760, 1434], "lattice_refer": [760, 1423, 1434], "s_metric": 760, "sparsifi": [760, 788, 1331], "spanner": 760, "effective_s": 760, "double_edge_swap": [760, 1415, 1434], "directed_edge_swap": [760, 1434], "connected_double_edge_swap": [760, 1415, 1434], "find_threshold_graph": 760, "is_threshold_graph": 760, "hamiltonian_path": [760, 1422], "is_reach": 760, "is_tourna": [760, 791], "random_tourna": [760, 1422], "score_sequ": 760, "triadic_censu": [760, 1280, 1404, 1422], "random_triad": [760, 1434], "triads_by_typ": 760, "triad_typ": 760, "is_triad": 760, "all_triad": 760, "all_triplet": 760, "closeness_vit": 760, "voronoi_cel": 760, "simplest": [762, 764], "vf2pp_is_isomorph": 762, "vf2pp_isomorph": 762, "vf2pp_all_isomorph": 762, "counterpart": [762, 793, 1414, 1423], "rariti": 762, "promis": 762, "unfruit": 762, "verif": [762, 764], "j\u00fcttner": 762, "alp\u00e1r": 762, "madarasi": 762, "242": 762, "dam": 762, "aho": 762, "ullman": 762, "homework": 762, "mcgill": 762, "308": 762, "250b": 762, "winter": 762, "matthew": [762, 1416, 1419, 1422], "suderman": 762, "crypto": 762, "crepeau": 762, "cs250": 762, "hw5": 762, "isomorphisms_it": 763, "120": 763, "largest_common_subgraph": 763, "ismags2": 763, "maximum_common_induced_subgraph": 763, "digraphmatch": 764, "predetermin": 764, "semantic_feas": 764, "gm": 764, "digm": 764, "adverb": 764, "luigi": 764, "pasqual": 764, "mario": [764, 1422], "1367": 764, "1372": 764, "oct": 764, "iel5": 764, "29305": 764, "01323804": 764, "syntactic_feas": 764, "graph_minor": 769, "unari": [774, 1426], "charpoli": 777, "k_4": 777, "sparsematrix": 777, "as_expr": 777, "quantiti": 784, "world_network": 784, "simplif": 788, "sparsif": 788, "supergraph": 788, "superedg": 788, "proxim": 788, "lossi": 788, "lossless": 788, "expens": [788, 1150], "mdl": 788, "unimport": 788, "scarc": 788, "mostli": [788, 1402, 1415], "caller": [791, 1302], "subfield": 793, "adject": 793, "bur": 793, "unroot": 793, "to_networkx_graph": [798, 933, 979, 1040, 1042, 1043, 1044, 1421], "grown": [798, 1040, 1042, 1043, 1160, 1194, 1229, 1233, 1436], "2pm": [798, 1040, 1042, 1043, 1403, 1436], "room": [798, 1040, 1042, 1043, 1403, 1436], "714": [798, 1040, 1042, 1043, 1403, 1436], "bracket": [798, 949, 995, 1040, 1042, 1043], "shortcut": [798, 1040, 1042, 1043, 1231, 1239, 1247], "nbrsdict": [798, 1040, 1042, 1043, 1332], "eattr": [798, 1040, 1042, 1043, 1436], "miscellan": [798, 1040, 1042, 1043, 1401, 1412], "node_dict": [798, 1040, 1042, 1043], "adjlist_dict": [798, 1040, 1042, 1043], "edge_attr_dict": [798, 1040, 1042, 1043], "factori": [798, 1040, 1041, 1042, 1043, 1425, 1430], "node_dict_factori": [798, 1040, 1042, 1043], "node_attr_dict_factori": [798, 1040, 1042, 1043, 1419], "adjlist_inner_dict_factori": [798, 1040, 1042, 1043], "adjlist_outer_dict_factori": [798, 1040, 1042, 1043, 1416], "graph_attr_dict_factori": [798, 1040, 1042, 1043], "inherit": [798, 1040, 1042, 1043, 1300, 1416], "facilit": [798, 1040, 1042, 1043, 1436], "to_directed_class": [798, 1040, 1042, 1043], "to_undirected_class": [798, 1040, 1042, 1043], "atlasview": [851, 896, 917, 932, 978, 999, 1015, 1021, 1101, 1103, 1104, 1436], "multigraph_input": [933, 979, 1042, 1043, 1094, 1100, 1422], "u_for_edg": [936, 982], "v_for_edg": [936, 982], "new_edge_kei": [936, 937, 982, 983], "assigned_kei": [937, 983], "edgekei": [941, 963, 972, 987, 1416, 1422], "dimultidegreeview": 946, "outmultiedgeview": [948, 962, 965], "inmultiedgeview": 953, "inmultiedgedataview": 953, "gefault": [958, 1002], "noth": [961, 1088, 1089, 1416], "key_list": [965, 1005], "edgesdict": 987, "multidegreeview": 992, "multiedgedataview": 994, "dispatch": 1014, "multiadjacencyview": [1015, 1016], "adjacencyview": [1016, 1021, 1042, 1043], "node_ok": [1017, 1018, 1019, 1020], "edge_ok": [1017, 1019, 1020], "unionatla": [1022, 1024, 1025], "middl": [1022, 1041, 1057], "unionmultiadjac": [1022, 1023, 1025], "atlas": 1023, "unionadjac": [1023, 1024, 1025], "multiadjac": [1024, 1025], "unionmultiinn": 1024, "filter_nod": [1039, 1091], "no_filt": [1039, 1091], "filter_edg": [1039, 1091], "cross_m": [1039, 1091], "ye": 1041, "temporarili": [1041, 1417], "morph": [1041, 1332], "_graph": 1041, "graphview": [1041, 1413, 1418, 1420, 1422], "disrupt": [1041, 1414], "harder": 1041, "restricted_view": [1041, 1064, 1422], "graphbla": [1041, 1428, 1434], "plugin": [1041, 1434], "regist": 1041, "entry_point": 1041, "handler": 1041, "networkx_plugin_spars": 1041, "__networkx_plugin__": 1041, "wrappedspars": 1041, "assist": 1041, "networkx_graph_convert": 1041, "convert_from_nx": 1041, "convert_to_nx": 1041, "xfail": [1041, 1423], "failur": [1041, 1420, 1422, 1423, 1428, 1429, 1431], "on_start_test": 1041, "282": 1042, "edge_key_dict_factori": [1042, 1043], "datafram": [1044, 1100, 1102, 1103, 1106, 1107, 1404, 1415, 1416, 1421], "dedic": 1045, "cytoscap": [1045, 1367, 1368, 1416, 1422, 1434], "gephi": [1045, 1347], "typeset": 1045, "pgf": 1045, "export": [1045, 1390, 1420], "write_graphml": [1045, 1392, 1420], "to_pydot": [1045, 1130, 1417], "from_pydot": 1045, "erocarrera": 1045, "random_layout": [1045, 1145, 1334, 1417], "tex": [1045, 1127, 1423, 1434], "to_latex": [1045, 1128, 1129, 1434], "caption": [1045, 1127, 1129], "to_latex_raw": [1045, 1127], "write_latex": [1045, 1127, 1128, 1434], "filnam": 1045, "subfigur": [1045, 1127, 1129], "subcapt": [1045, 1127], "latex_label": [1045, 1127, 1129], "sub_label": [1045, 1127], "tikzpictur": [1045, 1127, 1128, 1129], "just_my_figur": 1045, "as_docu": [1045, 1127, 1129, 1434], "my_figur": 1045, "fig1": 1045, "latex_cod": [1045, 1127, 1128], "1st": [1045, 1217], "latex_graph": 1045, "pdflatex": 1045, "lbl": 1045, "fig2a": 1045, "fig2b": 1045, "fig2c": 1045, "fig2d": 1045, "subfig": 1045, "n_row": [1045, 1127, 1129], "sub_capt": [1045, 1127, 1129], "edge_opt": [1045, 1127, 1128, 1129], "documentclass": [1045, 1127], "usepackag": [1045, 1127], "707": 1045, "preambl": [1045, 1127, 1129], "postambl": 1045, "figure_wrapp": [1045, 1127, 1129], "document_wrapp": [1045, 1127, 1129], "subfigure_wrapp": [1045, 1127, 1129], "nx_layout": 1045, "_document_wrapp": 1045, "seriou": [1046, 1403], "pointless": 1046, "georg": [1046, 1420, 1434], "unexpect": [1046, 1284, 1285, 1337, 1340], "intermediari": 1046, "exceededmaxiter": [1046, 1171, 1331], "num_iter": 1046, "kw": 1046, "sig": [1048, 1050, 1302], "wrapped_nam": [1048, 1302], "mangl": 1048, "mangled_nam": 1048, "exec": [1048, 1302], "mapblock": [1048, 1302], "mutable_arg": [1048, 1302], "_code": 1049, "fictiti": 1049, "namedtupl": 1050, "def_sig": 1050, "call_sig": 1050, "n_posit": 1050, "var_posit": 1050, "thesearg": 1050, "var_keyword": 1050, "elt": [1052, 1053, 1054], "prioriti": [1052, 1054, 1308, 1401, 1415], "g_to_add_to": [1055, 1056, 1057], "nodes_for_cycl": 1055, "nodes_for_path": 1056, "nodes_for_star": 1057, "cnbor": 1059, "with_data": 1060, "luckili": [1064, 1413], "programmat": [1064, 1085], "is_frozen": [1066, 1403], "unfreez": 1066, "frozen_graph": 1066, "unfrozen_graph": 1066, "frozen": [1066, 1072, 1434], "freez": [1072, 1331, 1403, 1434], "signifi": [1073, 1075], "number_of_selfloop": [1078, 1087, 1402, 1413, 1416, 1420], "selfloop": [1083, 1087, 1179, 1185, 1292, 1413, 1416], "nloop": 1083, "nodes_with_selfloop": [1083, 1087, 1402, 1413, 1416, 1420], "edge_subgraph": [1085, 1413], "datavalu": 1087, "attrnam": 1087, "edgeit": 1087, "bb": [1088, 1089], "attr1": [1088, 1089], "attr2": [1088, 1089], "dod": [1094, 1097], "dol": 1095, "from_dict_of_dict": [1097, 1100], "to_dict_of_list": 1097, "innermost": 1097, "lost": 1097, "dict_of_dict": 1100, "dict_of_dict_of_list": 1100, "parallel_edg": [1101, 1104], "to_numpy_arrai": [1101, 1287, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1395, 1414, 1420, 1423, 1425], "compound": [1101, 1102], "dt": 1101, "to_pandas_adjac": [1102, 1416, 1417], "max_column": [1102, 1103, 1106], "iterrow": 1103, "my_edge_kei": 1103, "ey": 1104, "csr_arrai": [1104, 1286], "multigraph_weight": [1105, 1106], "adjaceni": 1105, "multidimension": [1105, 1284, 1415], "wise": [1105, 1284, 1414], "array_lik": 1105, "undesir": [1105, 1106, 1306], "diag_indices_from": [1105, 1106], "clearer": [1105, 1421], "differenti": 1105, "setdiag": [1108, 1287], "aspect_ratio": 1109, "straight": [1109, 1112], "gnmk_random_graph": 1109, "kamada": [1111, 1138, 1417], "kawai": [1111, 1138, 1417], "complete_multipartite_graph": 1112, "interv": [1114, 1171, 1205, 1212, 1331], "determinist": [1114, 1120, 1122, 1123, 1126, 1334], "rescal": [1115, 1120, 1415], "rescale_layout_dict": [1115, 1421, 1423], "rescale_layout": [1116, 1423], "concentr": [1117, 1155], "radian": 1117, "ascend": 1118, "equidist": [1119, 1423], "spiral": [1119, 1420], "fruchterman": [1120, 1403, 1415, 1416], "reingold": [1120, 1403, 1415, 1416], "repel": [1120, 1407], "anti": 1120, "graviti": 1120, "equilibrium": 1120, "fly": [1120, 1415], "farther": 1120, "fruchterman_reingold_layout": [1120, 1422], "pygraphviz_layout": 1122, "1767": [1122, 1123, 1126], "node_po": 1123, "1568": [1123, 1132], "h_layout": [1123, 1132], "g_layout": [1123, 1132], "gbunch": [1127, 1129], "tikz_opt": [1127, 1128, 1129], "default_node_opt": [1127, 1128, 1129], "default_edge_opt": [1127, 1128, 1129], "edge_label_opt": [1127, 1128, 1129], "tikz": [1127, 1128, 1129, 1434], "textwidth": 1127, "latex": [1127, 1128, 1129, 1331, 1421, 1422, 1434], "envion": [1127, 1129], "slope": [1127, 1128, 1129], "referr": [1127, 1129], "sub_latex_label": [1127, 1129], "enclos": 1128, "fdp": [1131, 1132], "sfdp": [1131, 1132], "circo": [1131, 1132], "pydot_layout": 1131, "laid": 1132, "_except_": 1133, "kwd": [1136, 1139, 1415, 1417, 1421, 1428], "bewar": 1136, "auto_exampl": [1136, 1139, 1140, 1141, 1142, 1143, 1415], "linecollect": [1139, 1141, 1421, 1422, 1423], "bendabl": [1139, 1141], "stylish": [1139, 1141], "arrowshead": 1139, "mutation_scal": [1139, 1141], "1f78b4": [1139, 1143], "rgb": [1139, 1141, 1143], "rgba": [1139, 1141, 1143], "node_shap": [1139, 1141, 1143], "dph8": [1139, 1141, 1143], "border": [1139, 1143, 1417], "edge_vmin": [1139, 1141], "edge_vmax": [1139, 1141], "solid": [1139, 1141, 1251, 1268, 1269], "linestyl": [1139, 1141, 1421, 1423], "label_po": 1140, "verticalalign": [1140, 1142], "clip_on": [1140, 1142], "center_baselin": [1140, 1142], "connectionstyl": [1141, 1419], "arc3": 1141, "offset": [1141, 1154, 1219, 1300], "onoffseq": 1141, "curv": [1141, 1410, 1415, 1419], "rad": 1141, "gap": 1141, "edge_collect": 1141, "self_loop_fap": 1141, "autosc": 1143, "pathcollect": 1143, "shell_layout": [1146, 1420], "linearli": [1149, 1165], "wilson": [1149, 1150, 1223, 1418], "seven": 1150, "111223": 1150, "112222": 1150, "automorph": [1150, 1255], "graph_atla": 1150, "nondecreas": 1150, "001111": 1150, "000112": 1150, "1008": 1150, "3333444": 1150, "3333336": 1150, "1012": [1150, 1421], "1213": 1150, "1244555": 1150, "1244456": 1150, "perfectli": 1151, "m1": [1152, 1233, 1303], "m2": [1152, 1233, 1303], "extrem": [1152, 1163], "aldou": [1152, 1163], "leftmost": 1153, "circul": [1154, 1404, 1415], "ci_n": 1154, "x_1": 1154, "x_2": 1154, "x_m": 1154, "subfamili": 1154, "cl_n": 1155, "k_n": 1156, "tripartit": 1157, "c_n": 1158, "0112143": 1159, "unknown": 1160, "refit": 1160, "myweirdgraphclass": 1160, "firstli": 1160, "secondli": 1160, "resp": 1160, "thirdli": 1160, "mygraph": [1160, 1436], "create_empty_copi": 1160, "rightmost": 1161, "storer": 1161, "birkhaus": 1161, "boston": 1161, "k_m": 1163, "p_n": [1163, 1165], "etext": 1163, "turan": [1168, 1416], "cograph": [1170, 1331, 1420], "p_4": [1170, 1329], "corneil": [1170, 1329], "lerch": [1170, 1329], "stewart": [1170, 1329], "burlingham": [1170, 1329], "0166": [1170, 1329], "218x": [1170, 1329], "tau1": 1171, "tau2": 1171, "mu": [1171, 1422], "average_degre": 1171, "min_degre": 1171, "min_commun": 1171, "max_commun": 1171, "lfr": [1171, 1422], "reassign": [1171, 1213], "wire": 1171, "robust": 1171, "successfulli": 1171, "lancichinetti": 1171, "filippo": 1171, "radicchi": 1171, "046110": 1171, "santofortunato": 1171, "caveman": [1172, 1173, 1177], "connected_caveman_graph": [1172, 1178], "unclear": [1172, 1173, 1421], "watt": [1172, 1173, 1183, 1231, 1239, 1247, 1420], "amer": [1172, 1173], "493": [1172, 1173, 1308], "527": [1172, 1173], "caveman_graph": 1173, "p_in": [1174, 1175, 1176], "p_out": [1174, 1175, 1176], "varianc": 1174, "random_partition_graph": [1174, 1179], "marco": [1174, 1416, 1417], "gaertler": 1174, "11th": 1174, "europ": 1174, "plant": [1175, 1176], "random_partition_model": 1175, "condon": 1175, "algor": 1175, "116": 1175, "februari": [1177, 1415, 1423], "num_cliqu": 1178, "clique_s": 1178, "ring": [1178, 1231, 1239, 1247], "stochast": [1179, 1276, 1331, 1418, 1434], "planted_partition_graph": 1179, "gaussian_random_partition_graph": 1179, "laskei": 1179, "leinhardt": 1179, "prob": 1179, "450": 1179, "245": 1179, "051": 1179, "022": 1179, "windmil": 1180, "wd": 1180, "poisson": 1181, "random_sequ": 1181, "hundr": [1181, 1192], "random_powerlaw_tree_sequ": 1181, "actual_degre": 1181, "in_degree_sequ": 1183, "out_degree_sequ": 1183, "directed_random": 1183, "strogatz": [1183, 1231, 1239, 1247, 1420], "026118": 1183, "din": 1183, "dout": 1183, "in_deg_sequ": 1184, "out_deg_sequ": 1184, "w_0": 1185, "w_1": 1185, "ldot": [1185, 1201], "w_u": [1185, 1199, 1204], "w_v": [1185, 1199, 1204], "w_k": 1185, "mathcal": 1185, "ne": 1185, "waw": [1185, 1199], "alan": 1185, "friez": 1185, "horn": 1185, "pawe\u0142": 1185, "pra\u0142at": 1185, "6732": 1185, "115": 1185, "resort": 1186, "d_m": 1187, "almost": 1187, "moshen": 1187, "bayati": 1187, "jeong": [1187, 1245], "amin": 1187, "860": 1187, "009": 1187, "9340": 1187, "krapivski": [1188, 1189, 1190, 1193, 1415], "redner": [1188, 1189, 1190, 1415], "066123": [1188, 1190], "a_k": 1188, "gnc": [1189, 1415], "growth": [1189, 1208, 1240], "036118": 1189, "2005k": 1189, "redirect": [1190, 1422], "gnr": [1190, 1415], "probabilii": 1190, "peterson": [1191, 1265, 1419], "pittel": 1191, "preprint": 1191, "1311": 1191, "5961": 1191, "delta_in": 1192, "delta_out": 1192, "initial_graph": [1192, 1229, 1233, 1422, 1429], "bia": 1192, "borg": 1192, "chay": 1192, "riordan": [1192, 1241], "132": [1192, 1210], "139": 1192, "retent": 1193, "replic": 1193, "ispolatov": 1193, "yuryev": 1193, "061911": 1193, "knudsen": 1194, "carsten": 1194, "wiuf": 1194, "1155": 1194, "190836": 1194, "mildli": [1196, 1404], "prime": [1196, 1198], "lubotzki": 1196, "birkh\u00e4us": 1196, "basel": 1196, "marguli": [1197, 1404], "gabber": [1197, 1404], "palei": [1198, 1421], "pz": 1198, "f_q": 1198, "bolloba": 1198, "theta": [1199, 1204], "p_dist": [1199, 1203, 1417], "ge": [1199, 1205], "prone": 1199, "conceiv": 1199, "rate": [1199, 1203, 1204], "expovari": [1199, 1204], "masuda": 1199, "miwa": 1199, "konno": 1199, "036108": 1199, "milan": 1199, "bradonji\u0107": 1199, "allon": 1199, "percu": 1199, "antoni": 1199, "bonato": 1199, "taxicab": [1199, 1205], "minkowski": [1200, 1202, 1203, 1204, 1429], "ckdtree": 1200, "32nd": 1201, "cube": [1202, 1203, 1204, 1251, 1268], "kdtree": [1202, 1203, 1204], "gauss": [1202, 1203, 1204], "penros": [1202, 1203], "mathew": [1202, 1203], "twenti": 1202, "soft": [1203, 1228], "986": 1203, "1028": 1203, "nodethr": 1204, "cole": [1204, 1417], "maclean": [1204, 1417], "waxman": [1205, 1407, 1415], "x_min": 1205, "y_min": 1205, "x_max": 1205, "y_max": 1205, "Their": [1205, 1334, 1416], "multipoint": 1205, "1617": 1205, "1622": 1205, "h_": [1206, 1207], "hnm_harary_graph": 1206, "hararygraph": 1206, "nat": [1206, 1207, 1326, 1327, 1329], "1146": [1206, 1207, 1329], "hkn_harary_graph": 1207, "satyanarayana": 1207, "suffel": 1207, "reliabl": [1207, 1284, 1285], "synthesi": 1207, "resembl": [1208, 1275, 1329], "autonom": [1208, 1329], "elmokashfi": 1208, "tier": 1208, "adv": 1208, "peer": 1208, "commerci": 1208, "kvalbein": 1208, "dovroli": 1208, "bgp": 1208, "1250": 1208, "1261": 1208, "uniform_random_intersection_graph": [1209, 1210], "nikoletsea": 1209, "raptopoulo": 1209, "spiraki": 1209, "icalp": 1209, "\u0131az": 1209, "karhum": 1209, "aki": 1209, "lepist": 1209, "sannella": 1209, "3142": 1209, "1029": 1209, "1040": 1209, "godehardt": 1210, "jaworski": 1210, "129": 1210, "singer": 1211, "hopkin": 1211, "scheinerman": 1211, "176": 1211, "min1": 1212, "max1": 1212, "nkk": [1213, 1214], "degree_seq": 1213, "correspondingli": [1213, 1216], "n_edges_add": 1213, "unsatur": 1213, "markopoul": [1213, 1214, 1215, 1216, 1275], "butt": [1213, 1214, 1275], "2k": [1213, 1214], "seconnd": 1214, "joint_degre": [1215, 1216], "joint_degree_graph": 1215, "kurant": 1215, "5k": 1215, "infocom": [1215, 1216, 1275], "stanton": 1215, "prescrib": 1215, "with_posit": [1219, 1221], "hexagon": [1219, 1269, 1329], "sidelength": [1219, 1221], "interleav": 1219, "hypercub": [1220, 1251], "triangular": [1221, 1268, 1329], "stagger": 1221, "equilater": [1221, 1269], "quadrant": 1221, "misalign": 1221, "roussopoulo": 1222, "r90abc5507a69": 1222, "p4": 1222, "root_graph": [1222, 1413, 1418], "112": 1222, "argu": 1223, "superfici": 1223, "norman": 1223, "rend": 1223, "palermo": 1223, "ser": 1223, "161": 1223, "hemming": 1223, "1978": [1223, 1416], "academ": 1223, "271": 1223, "305": 1223, "n_th": 1224, "mycielski": [1224, 1225, 1331, 1417, 1423], "m_1": [1224, 1233], "m_2": [1224, 1233], "m_i": 1224, "mycielskian": [1224, 1329], "mycielskigraph": 1224, "p_2": 1224, "bigcup": 1225, "nonisomporph": 1226, "adjanc": 1226, "nonisomorph": [1227, 1404, 1415], "joint_degree_sequ": 1228, "epidem": 1228, "m0": [1229, 1233], "emerg": 1229, "286": 1229, "509": [1229, 1407, 1415], "512": 1229, "fast_gnp_random_graph": [1230, 1234, 1238, 1415, 1423], "publ": [1230, 1234, 1238], "1959": [1230, 1234, 1238], "gilbert": [1230, 1234, 1238, 1419], "1141": [1230, 1234, 1238], "newman_watts_strogatz_graph": [1231, 1247, 1415], "watts_strogatz_graph": [1231, 1239, 1415, 1436], "duncan": [1231, 1247], "steven": [1231, 1247, 1326, 1327], "393": [1231, 1247], "440": [1231, 1247], "mar": 1232, "seminumer": 1232, "oppos": 1233, "moshiri": [1233, 1419], "barabasi": [1233, 1415, 1419], "1810": 1233, "10538": 1233, "alber": 1235, "5234": [1235, 1423], "renorm": 1239, "263": 1239, "341": 1239, "s0375": 1239, "9601": 1239, "00757": 1239, "holm": 1240, "powerlaw": [1240, 1243], "tunabl": 1240, "kernel_integr": 1241, "kernel_root": 1241, "int_a": 1241, "brentq": 1241, "b\u00e9la": 1241, "janson": 1241, "inhomogen": 1241, "lemon": 1241, "e0135177": 1241, "0135177": 1241, "p1": 1242, "p2": 1242, "lobster": [1242, 1421], "caterpillar": 1242, "backbon": 1242, "vu": 1245, "steger": 1245, "wormald": 1245, "377": 1245, "396": 1245, "s0963548399003867": 1245, "thirti": 1245, "fifth": 1245, "diego": 1245, "213": 1245, "780542": 1245, "780576": 1245, "shift_list": 1248, "cubic": [1248, 1251, 1252, 1255, 1256, 1262, 1264, 1265, 1270], "lcf": [1248, 1250, 1252, 1254, 1256, 1262, 1264], "lederberg": 1248, "coxet": 1248, "frucht": [1248, 1255], "desargues_graph": 1248, "heawood_graph": 1248, "pappus_graph": 1248, "sk": 1248, "v_current": 1248, "shiftlist": 1248, "heawood": [1248, 1256], "lcfnotat": 1248, "bull": 1249, "pendant": 1249, "leg": 1249, "chv\u00e1tal": 1250, "chv": 1250, "c3": [1250, 1262, 1263], "a1tal_graph": 1250, "chvatalgraph": 1250, "skeleton": [1251, 1254, 1268, 1269], "desargu": 1252, "desarguesgraph": 1252, "kite": [1253, 1261], "diamondgraph": 1253, "dodecahedr": 1254, "dodecahedron": 1254, "regular_dodecahedron": 1254, "dodecahedralgraph": 1254, "fruchtgraph": 1255, "cage": [1256, 1257], "perci": 1256, "girth": [1256, 1257], "heawoodgraph": 1256, "tue": [1256, 1265], "aeb": [1256, 1265], "hoffman": [1257, 1416], "pentagon": 1257, "pentagram": 1257, "p_h": 1257, "q_i": 1257, "visualinsight": 1257, "singletongraph": 1257, "93singleton_graph": 1257, "housegraph": [1258, 1259], "pentatop": 1259, "icosahedron": 1260, "icosahedralgraph": 1260, "tradit": [1261, 1436], "beverlei": 1261, "dian": 1261, "fernando": 1261, "garth": 1261, "heather": 1261, "ik": 1261, "jane": 1261, "landscap": 1261, "cognit": 1261, "administr": 1261, "quarterli": [1261, 1403], "2393394": 1261, "jstor": 1261, "moebiu": 1262, "kantor": 1262, "m\u00f6biu": 1262, "b6biu": 1262, "93kantor_graph": 1262, "octahedron": 1263, "parti": 1263, "shake": [1263, 1430], "hi": [1263, 1273, 1329], "partner": 1263, "handshak": 1263, "cocktail": 1263, "octahedralgraph": 1263, "tur": 1263, "a1n_graph": 1263, "special_cas": 1263, "pappu": 1264, "juliu": 1265, "bridgeless": 1265, "colour": 1265, "drg": 1265, "maze": 1266, "tetrahedr": 1267, "k4": 1267, "w4": 1267, "grpah": 1267, "tetrahedron": [1267, 1269, 1270], "truncat": [1268, 1269, 1270, 1275], "archimedean": [1268, 1269], "octagon": 1268, "tip": 1268, "truncated_cub": 1268, "coolmath": 1268, "polyhedra": 1268, "truncated_tetrahedron": 1269, "polyhedr": 1270, "tait": 1270, "polyhedron": 1270, "gardner": 1271, "1941": 1271, "south": 1271, "florentin": [1272, 1407, 1415], "breiger": 1272, "philippa": 1272, "pattison": 1272, "cumul": [1272, 1320, 1321, 1415], "dualiti": 1272, "septemb": [1272, 1415, 1416, 1418], "mr": [1273, 1277, 1329], "wayn": 1273, "coappear": 1274, "novel": 1274, "miser": [1274, 1393, 1419], "sgf": 1275, "eigenstructur": 1275, "synthes": 1275, "realist": 1275, "anonym": 1275, "leverag": 1275, "telecommun": [1275, 1415], "bernoulli": 1275, "1801": 1275, "01715": 1275, "reweight": 1276, "sudoku": [1277, 1331, 1421], "sud": 1277, "herzberg": [1277, 1329], "708": [1277, 1329], "717": [1277, 1329], "sander": [1277, 1329], "torsten": [1277, 1329], "7pp": [1277, 1329], "2529816": [1277, 1329], "glossari": [1277, 1329, 1331], "encyclopedia": [1277, 1329], "81": [1277, 1329], "810": 1277, "nil": [1278, 1422], "downward": 1278, "synthet": 1278, "triad_nam": 1280, "tracemin_pcg": [1281, 1282, 1283], "tracemin": [1281, 1282, 1283], "lanczo": [1281, 1282, 1283], "precondit": [1281, 1282, 1283, 1416], "conjug": [1281, 1282, 1283], "gradient": [1281, 1282, 1283], "tracemin_lu": [1281, 1282, 1283, 1422], "fiedler": [1282, 1283, 1333, 1411, 1415], "32864129": 1282, "26072899": 1282, "rc_order": [1284, 1285], "col": [1284, 1285], "thick": [1284, 1285], "66666667": [1284, 1285], "matirx": 1285, "beth": [1286, 1296, 1331, 1420], "hessian": [1286, 1296, 1331, 1420], "parametr": [1286, 1421, 1422, 1423, 1425], "r_m": 1286, "bethe_hessian_spectrum": 1286, "saad": [1286, 1296], "krzakala": [1286, 1296], "zdeborov\u00e1": [1286, 1296], "levina": 1286, "1507": 1286, "00827": 1286, "havel_hakimi_graph": [1286, 1294], "5625": [1286, 1426], "to_scipy_sparse_arrai": [1287, 1395, 1423], "to_dict_of_dict": [1287, 1422], "gil": 1288, "videolectur": 1288, "mit18085f07_strang_lec03": 1288, "elsewher": [1289, 1290, 1387], "cheeger": [1289, 1290], "laplacian_spectrum": [1291, 1434], "normalized_laplacian_spectrum": 1292, "diag": 1292, "graham": [1292, 1418], "steve": [1292, 1421], "butler": 1292, "interlac": 1292, "98": 1292, "b_ij": [1293, 1294], "aij": [1293, 1294], "modularity_spectrum": [1293, 1294], "modularity_matrix": [1293, 1298, 1404], "a_ij": 1293, "leicht": [1293, 1418], "118703": 1293, "directed_modularity_matrix": 1294, "8577": [1294, 1298], "8582": [1294, 1298], "eval": [1295, 1296, 1297, 1298, 1299], "bethe_hessian_matrix": [1296, 1425], "try_fin": 1302, "open_fil": 1302, "nodes_or_numb": [1302, 1426], "require_partit": 1302, "__doc__": 1302, "lazili": [1302, 1428, 1430], "__call__": [1302, 1434], "my_decor": 1302, "thin": 1302, "thinli": 1302, "_lazy_compil": 1302, "assembli": 1302, "sig_def": 1302, "sig_cal": 1302, "mutat": [1302, 1421], "indent": [1302, 1347, 1350, 1361, 1364], "_name": [1302, 1415], "_count": 1302, "session": [1302, 1334], "_flatten": 1302, "_indent": 1302, "newa": 1302, "newb": 1302, "newc": 1302, "currenc": 1302, "monei": 1302, "convert_to": 1302, "us_dollar": 1302, "show_me_the_monei": 1302, "which_arg": [1302, 1303], "_convert": 1302, "to_curr": 1302, "xlist": 1302, "zlist": 1302, "sugar": 1302, "some_func": 1302, "variad": 1302, "fn": [1302, 1421, 1423], "close_fil": 1302, "my_closing_decor": 1302, "_open": 1302, "fclose": 1302, "fancy_read": 1302, "file_to_lin": 1302, "file_to_lines_wrap": 1302, "file_to_lines_wrapp": 1302, "file_to_lines_whoop": 1302, "any_list_of_nod": 1303, "_nodes_or_numb": 1303, "full_rary_tre": 1303, "graph_typ": 1304, "_requir": 1304, "sp_function": 1304, "sp_np_function": 1304, "random_state_argu": [1305, 1307], "glocal": 1305, "_random_st": [1305, 1307], "random_float": [1305, 1307], "rand": [1305, 1307], "random_arrai": [1305, 1307], "path_arg": 1306, "_open_fil": 1306, "cleanli": 1306, "some_funct": 1306, "arg1": 1306, "arg2": 1306, "fobj": 1306, "tempfil": [1306, 1358, 1360, 1384, 1386], "namedtemporaryfil": [1306, 1358, 1360, 1384, 1386], "blah": 1306, "exit": [1306, 1416], "read_funct": 1306, "pathnam": 1306, "write_funct": 1306, "another_funct": 1306, "equiv": 1307, "mimic": 1307, "heapq": [1308, 1415], "_siftup": 1308, "_siftdown": 1308, "cormen": 1308, "leiserson": 1308, "rivest": 1308, "stein": 1308, "colors_nm": 1308, "665": 1308, "470": 1308, "550": [1308, 1407, 1415], "425": 1308, "916": 1308, "4609": 1308, "1117": 1308, "peek": 1309, "consum": [1309, 1422, 1434], "edges1": 1313, "edges2": 1313, "many_to_on": 1316, "nodes1": 1318, "nodes2": 1318, "s0": 1319, "cdistribut": 1321, "xmin": 1325, "zipf": 1325, "zeta": 1325, "hurwitz": 1325, "luc": 1325, "devroy": 1325, "peripher": [1326, 1327], "24th": [1326, 1327], "172": 1326, "800195": [1326, 1327], "805928": [1326, 1327], "skiena": [1326, 1327], "smallest_degre": [1326, 1327], "cuthill_mckee_ord": 1327, "triangular_lattice_graph": 1329, "hexagonal_lattice_graph": 1329, "hex": 1329, "wright": 1329, "richmond": 1329, "odlyzko": 1329, "mckai": 1329, "wrom": 1329, "puzzl": 1329, "9x9": 1329, "3x3": 1329, "iterat": 1330, "multilin": [1331, 1375, 1376, 1378, 1392], "gexf": [1331, 1347, 1348, 1349, 1350, 1392, 1406, 1407, 1410, 1415, 1416, 1419, 1420, 1421, 1423], "leda": [1331, 1373, 1374, 1392, 1415, 1436], "sparsegraph6": [1331, 1392], "pajek": [1331, 1379, 1380, 1381, 1382, 1392, 1403, 1407, 1410, 1415, 1416], "market": [1331, 1392, 1422], "stage": [1332, 1436], "camelcas": 1332, "capit": 1332, "lower_case_underscor": 1332, "underscor": [1332, 1356], "repetit": 1332, "degrad": 1332, "datastructur": [1332, 1423, 1434], "imagin": 1332, "clever": 1332, "anyth": [1332, 1335, 1396], "e_color": 1332, "jokingli": 1332, "centric": 1332, "realli": 1332, "zone": 1332, "excel": 1332, "gui": [1332, 1422, 1434], "scatterplot": 1332, "subax1": [1332, 1436], "121": [1332, 1436], "subax2": [1332, 1436], "hire": [1332, 1436], "footnot": 1332, "deform": 1333, "mersenn": 1334, "twister": 1334, "danger": [1334, 1413, 1436], "debug": 1334, "246": 1334, "4812": [1334, 1422], "discard": 1334, "sklearn": 1334, "richer": 1334, "meaningfulli": [1335, 1336, 1396], "write_adjlist": [1337, 1339, 1341, 1392], "read_adjlist": [1337, 1338, 1340, 1341, 1392], "filehandl": [1339, 1340, 1355, 1356], "read_weighted_edgelist": [1342, 1346, 1392], "write_weighted_edgelist": [1344, 1345, 1392], "14159": [1344, 1403], "prettyprint": [1347, 1350, 1361, 1364], "2draft": [1347, 1348, 1350], "gefx": [1347, 1348, 1389], "schema": [1347, 1348, 1350, 1389], "1draft": [1347, 1348], "linefe": [1347, 1361, 1362], "chr": [1347, 1361, 1362], "pid": 1349, "viz": 1350, "stringiz": [1351, 1354, 1355, 1356, 1390, 1421, 1423], "newlin": [1351, 1357, 1359, 1360, 1385, 1416], "ascii": [1351, 1354, 1355, 1356, 1387, 1388, 1390, 1398, 1416], "iso8859": [1351, 1354, 1355, 1356, 1390], "destring": [1351, 1354, 1355, 1356, 1390, 1422], "liter": [1352, 1353], "quot": [1353, 1415], "unprint": 1353, "byte": [1353, 1357, 1359, 1385], "write_gml": [1354, 1355, 1392, 1417, 1422, 1436], "read_gml": [1354, 1356, 1392, 1415, 1422, 1436], "generate_gml": [1356, 1392, 1421], "bytes_in": 1357, "graph6": [1357, 1358, 1359, 1360, 1385, 1392, 1411, 1415, 1416, 1425], "trail": [1357, 1421], "ord": 1357, "read_graph6": [1357, 1359, 1360], "write_graph6": [1357, 1358, 1417], "cec": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "anu": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "au": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "bdm": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "from_graph6_byt": [1358, 1359, 1360, 1421], "header": [1359, 1360, 1385, 1386, 1410, 1415, 1432], "write_graph6_byt": 1359, "named_key_id": [1361, 1364], "edge_id_from_attribut": [1361, 1364], "unset": [1361, 1364], "hyperedg": [1361, 1364, 1391], "graphml_str": 1362, "edge_key_typ": [1362, 1363], "force_multigraph": [1362, 1363, 1421], "default_color": [1362, 1363], "node_default": [1362, 1363], "edge_default": [1362, 1363], "generate_graphml": [1362, 1392], "yed": [1363, 1406, 1410, 1415, 1422], "yfile": 1363, "shape_typ": 1363, "graphmlz": 1363, "infer_numeric_typ": 1364, "write_graphml_lxml": [1364, 1420], "fourpath": 1364, "adjacency_graph": [1365, 1392], "tree_data": [1365, 1366, 1369, 1370, 1372, 1392, 1422], "adjacency_data": [1366, 1369, 1370, 1371, 1372, 1392], "cyj": [1367, 1368], "cytoscape_graph": [1367, 1392, 1422], "conform": 1368, "cytoscape_data": [1368, 1392], "data_dict": 1368, "compli": 1369, "gn_graph": 1369, "revert": [1370, 1405, 1420, 1422, 1423, 1429, 1434], "deseri": [1370, 1422], "tree_graph": [1371, 1392, 1422], "leda_guid": [1373, 1374, 1394], "leda_native_graph_fileformat": [1373, 1374, 1394], "write_multiline_adjlist": [1375, 1377, 1392], "read_multiline_adjlist": [1375, 1378, 1392], "frodo": 1376, "saruman": 1376, "drawep": [1379, 1381, 1382, 1397], "read_pajek": [1380, 1392], "write_pajek": [1381, 1392], "sparse6": [1383, 1384, 1385, 1386, 1392, 1411, 1415, 1416, 1417, 1425], "read_sparse6": [1383, 1385, 1386], "write_sparse6": 1383, "from_sparse6_byt": [1384, 1386], "write_sparse6_byt": 1385, "max_depth": [1387, 1388], "ascii_onli": [1387, 1388], "ellipsi": [1387, 1388], "5602": 1387, "backref": 1387, "wrt": 1387, "underneath": 1387, "attribt": [1387, 1388], "characat": 1388, "parser": [1389, 1391, 1404, 1415], "insecur": [1389, 1391], "born": 1390, "graphlet": 1390, "editor": 1390, "overtaken": 1390, "graphdraw": 1391, "primer": 1391, "parse_adjlist": 1392, "parse_multiline_adjlist": 1392, "generate_multiline_adjlist": 1392, "read_gexf": 1392, "write_gexf": 1392, "generate_gexf": 1392, "relabel_gexf_graph": 1392, "read_graphml": 1392, "parse_graphml": 1392, "read_leda": 1392, "parse_leda": 1392, "parse_pajek": [1392, 1416], "generate_pajek": 1392, "generate_network_text": 1392, "serializ": 1393, "d3j": 1393, "bl": 1393, "ock": 1393, "mbostock": 1393, "4062045": 1393, "4063550": 1393, "bost": 1393, "nist": 1395, "mmread": 1395, "mmwrite": 1395, "coo_matrix": 1395, "getvalu": 1395, "matrixmarket": 1395, "0000000000000000e": 1395, "from_scipy_sparse_arrai": [1395, 1423], "printabl": 1398, "make_list_of_int": [1401, 1420, 1422], "trac": [1402, 1403, 1406, 1407, 1408, 1409, 1415], "timelin": [1402, 1415], "api_chang": [1402, 1403, 1415], "simplic": [1402, 1415], "xgraph": [1402, 1415], "xdigraph": [1402, 1415], "labeledgraph": [1402, 1415], "labeleddigraph": [1402, 1415], "subdirectori": [1402, 1415], "draw_graphviz": [1402, 1415, 1416], "penultim": 1402, "clariti": 1402, "redesign": 1402, "corrupt": [1402, 1413], "adjacency_dict": [1402, 1436], "fcn": 1402, "pointer": [1402, 1413], "rare": [1402, 1417], "mileston": [1403, 1406, 1409, 1415], "dev1379": 1403, "rc1": 1403, "schedul": [1403, 1434], "roughli": 1403, "defect": [1403, 1423, 1434], "africa": 1403, "g_shallow": 1403, "g_deep": 1403, "d_shallow": 1403, "d_deep": 1403, "has_neighbor": 1403, "has_edg": 1403, "stochastic_graph": 1403, "writer": [1403, 1404, 1407, 1415, 1421], "1415": [1403, 1404, 1436], "harmonic_centr": [1404, 1415, 1422], "hopcraft": [1404, 1415], "pypars": [1404, 1415, 1423], "kaneski": [1404, 1415], "longest_path": [1404, 1415], "1501": 1404, "1547": 1404, "func_it": 1404, "slate": 1404, "823": 1404, "nonmaxim": 1404, "1105": 1404, "1193": 1404, "1194": 1404, "1210": 1404, "1241": 1404, "1269": 1404, "1280": 1404, "1286": 1404, "1306": 1404, "1314": 1404, "orderedgraph": [1404, 1416, 1434], "1321": 1404, "to_pandas_datafram": [1404, 1416, 1417], "from_pandas_datafram": [1404, 1416, 1417], "1322": 1404, "1336": 1404, "1338": 1404, "1340": 1404, "1354": 1404, "1356": 1404, "1360": 1404, "1390": 1404, "1391": 1404, "1399": 1404, "1405": 1404, "1413": 1404, "1425": 1404, "1427": 1404, "1436": 1404, "1437": 1404, "1438": 1404, "longest_path_length": 1404, "1439": 1404, "1447": 1404, "simple_path": [1404, 1416, 1434], "1455": 1404, "1474": 1404, "1476": 1404, "is_weight": 1404, "is_negatively_weight": 1404, "is_empti": 1404, "1481": 1404, "1414": 1404, "1236": 1404, "ford_fulkerson": [1404, 1411], "1192": 1404, "januari": [1405, 1406, 1415, 1417, 1434], "pydotplu": [1405, 1415], "appveyor": [1405, 1415, 1420, 1431, 1434], "autosummari": [1405, 1415, 1416, 1426], "1750": 1405, "defaul": 1405, "1924": 1405, "1888": 1405, "python3": [1405, 1416], "1763": 1405, "istal": 1405, "doc_str": [1405, 1434], "ticket": [1407, 1408, 1409, 1415], "weighted_edg": 1407, "edge_bewteeness_centr": 1407, "betweeness_centrality_subset": 1407, "edge_betweenness_centrality_subset": 1407, "betweenness_centrality_sourc": [1407, 1421, 1434], "closness_vit": 1407, "weiner_index": 1407, "spectral_bipart": 1407, "current_flow_betweenness_centrality_subset": [1407, 1416], "edge_current_flow_betweenness_centrality_subset": [1407, 1416], "normalized_laplacian": 1407, "adj_matrix": [1407, 1415, 1422, 1434], "single_source_dijkstra_path_bas": 1407, "astar_path_length": 1407, "verbos": 1407, "507": [1407, 1415], "502": [1407, 1415], "524": [1407, 1415], "542": [1407, 1415], "526": [1407, 1415], "546": [1407, 1415], "mishandl": [1407, 1415], "554": [1407, 1415], "555": [1407, 1415], "573": 1408, "to_scipy_sparse_matrix": [1408, 1416, 1421, 1423], "neighbor_degre": [1408, 1422], "weightedgraphmatch": 1408, "weighteddigraphmatch": 1408, "weightedmultigraphmatch": 1408, "weightedmultidigraphmatch": 1408, "categroical_multiedge_match": 1408, "generic_edge_match": 1408, "generic_multiedge_match": [1408, 1416], "throughout": 1408, "average_in_degree_connect": 1408, "average_out_degree_connect": 1408, "average_neighbor_in_degre": 1408, "average_neighbor_out_degreei": 1408, "untest": 1409, "bipartite_random_regular_graph": 1409, "l1": [1410, 1415], "troublesom": [1410, 1415], "goldberg": [1411, 1415], "radzik": [1411, 1415], "rewrot": [1411, 1416], "flow_fulkerson": 1411, "max_flow": 1411, "min_cut": 1411, "inapplic": 1411, "capacity_sc": 1411, "connecit": 1411, "10x": 1411, "auxuliari": 1411, "aux_digraph": 1411, "all_pairs_node_connectiviy_matrix": 1411, "disperson": 1411, "non_edg": 1411, "nonexist": 1411, "algebraic_connect": [1411, 1434], "fiedler_vector": [1411, 1417, 1433], "spectral_ord": 1411, "link_predict": [1411, 1420], "goldberg_radzik": 1411, "temporari": [1411, 1416, 1421, 1423, 1430], "connected_components_subgraph": [1411, 1415], "jython": [1411, 1422], "ironpython": [1411, 1415, 1422], "breakag": 1412, "unreleas": 1412, "prepare_nbunch": 1412, "edges_it": 1413, "catalog": 1413, "genexpr": 1413, "in_deg": 1413, "nx1": 1413, "nx2": [1413, 1423], "dict_keyiter": 1413, "digraphview": [1413, 1418, 1420], "path1": 1413, "path2": 1413, "reversedgraph": 1413, "fresh_copi": [1413, 1416, 1418, 1419, 1420], "_iter": 1413, "envis": 1413, "hack": [1413, 1426], "hoc": 1413, "debt": 1414, "tighter": 1414, "funtion": 1414, "recarrai": 1414, "departur": 1414, "broadcast": 1414, "boilerpl": [1414, 1421], "spmatrix": 1414, "_sparrai": 1414, "to_numpy_matrix": [1414, 1416, 1421, 1422, 1434], "obei": 1414, "vastli": [1414, 1417], "outperform": 1414, "_pagerank_python": 1414, "123456789": 1414, "compatibil": 1414, "to_numpy_recarrai": [1414, 1423, 1434], "thisconvers": 1414, "f8": 1414, "i8": 1414, "rec": 1414, "read_gpickl": [1414, 1415, 1422], "write_gpickl": [1414, 1422], "pickl": [1414, 1418, 1419, 1423], "gpickl": [1414, 1422, 1434], "highest_protocol": 1414, "yaml": [1414, 1415, 1420, 1423], "pyyaml": [1414, 1422, 1434], "loader": [1414, 1422], "migrat": [1415, 1416, 1422, 1423, 1425, 1434], "unittest": 1415, "nose": [1415, 1416, 1420], "s_max": 1415, "mayvi2": 1415, "l2": 1415, "manifest": 1415, "ubigraph": 1415, "opengl": 1415, "p2g": [1415, 1416], "secondari": 1415, "edge_between": 1415, "load_between": 1415, "bipartite_color": 1415, "checker": 1415, "python2": 1415, "dfs_preorder": 1415, "dfs_postord": 1415, "dfs_successor": 1415, "dfs_predecessor": 1415, "xslt": 1415, "setup_egg": 1415, "setuptool": 1415, "get_edg": 1415, "floyd_warshall_arrai": 1415, "g467": 1415, "edges_": 1415, "degree_": 1415, "0x": 1415, "egg": 1415, "bdist_egg": 1415, "erdos_renyi": 1415, "scipy_sparse_matrix": 1415, "complain": 1415, "saner": 1415, "redraw": 1415, "relabel_nodes_with_funct": 1415, "degree_sequence_tre": 1415, "nonconsecut": 1415, "periodic_grid_2d_graph": 1415, "gnp_graph": 1415, "gnm_graph": 1415, "delete_edg": 1415, "sparse_binomial_graph": 1415, "bzip2": 1415, "datatyp": 1415, "peak": 1415, "devcent": 1415, "reformat": [1415, 1422], "menu": 1415, "stylesheet": 1415, "toposort": 1415, "is_directed_acycl": 1415, "svn": 1415, "subvers": 1415, "vtk": [1415, 1422], "random_powerlaw_tre": 1415, "dorogovtsev_goltsev_mendes_graph": 1415, "kevin": [1415, 1416, 1420, 1431, 1432, 1434], "bacon": 1415, "movi": 1415, "kevin_bacon": 1415, "rewrit": [1415, 1422], "truncated_tetrahedral_graph": 1415, "bfs_path_length": 1415, "1212": 1416, "quick": 1416, "keyiter": 1416, "parenthes": 1416, "adjacency_list": 1416, "adjacency_it": [1416, 1422], "2107": 1416, "1577": 1416, "minimum_spanning_edg": 1416, "maximum_spanning_edg": 1416, "maximum_spanning_tre": 1416, "did": [1416, 1422, 1434], "mass": 1416, "2326": 1416, "current_flow_closeness_centr": 1416, "2420": 1416, "2510": 1416, "2508": 1416, "2553": 1416, "came": 1416, "2604": 1416, "2558": 1416, "from_pandas_edgelist": [1416, 1417, 1420, 1421], "from_pandas_adjac": [1416, 1417], "2620": 1416, "draw_nx": 1416, "1662": 1416, "topolgical_sort": [1416, 1422], "bellman_ford": [1416, 1417, 1418, 1422, 1423], "arvai": 1416, "baharev": 1416, "moritz": 1416, "emanuel": 1416, "beber": 1416, "livio": 1416, "bioglio": 1416, "jake": 1416, "bogerd": 1416, "moreno": 1416, "bonaventura": 1416, "rapha\u00ebl": 1416, "bournhonesqu": 1416, "brett": 1416, "cognetta": 1416, "jami": [1416, 1420], "cox": 1416, "davidson": 1416, "nikhil": 1416, "desai": 1416, "donquixotedelamancha": 1416, "dosenpfand": 1416, "allen": [1416, 1426], "downei": 1416, "enrico": 1416, "erat": 1416, "aravind": 1416, "gollakota": 1416, "grainger": [1416, 1418], "yawara": 1416, "ishida": 1416, "bilal": 1416, "jammal": 1416, "omer": [1416, 1420], "jani": 1416, "klais": 1416, "valentin": 1416, "lorentz": 1416, "francoi": 1416, "malassenet": 1416, "arya": 1416, "mccarthi": 1416, "peleg": 1416, "micha": 1416, "morin": 1416, "sanggyu": [1416, 1417], "nam": [1416, 1417], "nishant": 1416, "rhile": 1416, "nova": 1416, "ramil": [1416, 1419], "nugmanov": [1416, 1419], "nunez": 1416, "iglesia": 1416, "pim": 1416, "ott": 1416, "pennei": [1416, 1417], "phobia": 1416, "tristan": 1416, "poupard": 1416, "sebastian": 1416, "pucilowski": 1416, "sailer": [1416, 1417], "ren\u00e9": 1416, "saitenmach": 1416, "felip": 1416, "schneider": [1416, 1421], "scinawa": 1416, "seifert": 1416, "mohammad": 1416, "sekhavat": 1416, "skytodinfi": 1416, "stacei": 1416, "smolash": 1416, "t\u00f6rnwall": 1416, "janni": 1416, "vamva": 1416, "vergin": 1416, "prayag": 1416, "verma": 1416, "Wills": 1416, "ianto": 1416, "xi": 1416, "heqe": 1416, "aryamccarthi": 1416, "definitelyuncertain": 1416, "juliensiebert": 1416, "leotr": 1416, "leycec": 1416, "mcognetta": 1416, "numpd": 1416, "salotz": 1416, "vsi": 1416, "thegreathippo": 1416, "vpodpecan": 1416, "yash14123": 1416, "neil": [1416, 1418, 1421], "girdhar": 1416, "leftov": 1416, "1847": 1416, "1966": 1416, "1963": 1416, "1958": 1416, "1690": 1416, "1740": 1416, "makefil": 1416, "eigenv": 1416, "1991": 1416, "unorder": 1416, "1987": 1416, "2026": 1416, "fix_duplicate_kwarg": 1416, "server": 1416, "1948": 1416, "2031": 1416, "2033": 1416, "2027": 1416, "abritrari": 1416, "2035": 1416, "2038": 1416, "2040": 1416, "2041": 1416, "2042": 1416, "2043": 1416, "unboundlocalerror": 1416, "2047": 1416, "1910": 1416, "2059": 1416, "2061": 1416, "2073": 1416, "2074": 1416, "1725": 1416, "1799": 1416, "is_path": [1416, 1421, 1432, 1434], "1921": 1416, "2077": 1416, "2075": 1416, "fixcoverag": 1416, "2080": 1416, "2039": 1416, "1680": 1416, "1679": 1416, "2081": 1416, "set_": [1416, 1422], "_attribut": [1416, 1422], "1935": 1416, "1919": 1416, "lfm": 1416, "1727": 1416, "1521": 1416, "1289": 1416, "tempor": 1416, "1653": 1416, "convert_bool": 1416, "1063": 1416, "2086": 1416, "2084": 1416, "2072": 1416, "2088": 1416, "1708": 1416, "fjmalass": 1416, "2089": 1416, "2090": 1416, "2082": 1416, "2085": 1416, "2091": 1416, "2095": 1416, "exposur": 1416, "2096": 1416, "__all__": [1416, 1422, 1423], "2098": 1416, "2092": 1416, "joint_degree_seq": 1416, "test_joint_degree_seq": 1416, "1873": 1416, "2099": 1416, "1894": 1416, "2100": 1416, "2102": 1416, "2101": 1416, "2104": 1416, "2114": 1416, "2124": 1416, "2132": 1416, "2136": 1416, "2141": 1416, "2143": 1416, "2142": 1416, "2148": 1416, "2149": 1416, "2158": 1416, "2150": 1416, "outsourc": 1416, "2083": 1416, "2167": 1416, "2129": 1416, "2172": 1416, "2178": 1416, "logarithm": 1416, "2179": 1416, "2180": 1416, "2122": 1416, "2202": 1416, "2199": 1416, "2200": 1416, "2064": 1416, "2196": 1416, "expm": 1416, "2208": 1416, "2206": 1416, "2207": 1416, "2214": 1416, "2222": 1416, "2225": 1416, "2224": 1416, "2230": 1416, "2228": 1416, "2236": 1416, "2246": 1416, "2247": 1416, "2237": 1416, "2215": 1416, "2269": 1416, "2272": 1416, "2287": 1416, "2268": 1416, "718": 1416, "2260": 1416, "minimum_spanning_arboresc": 1416, "2285": 1416, "2277": 1416, "convert_to_": 1416, "2259": 1416, "2221": 1416, "lpa": 1416, "2219": 1416, "2227": 1416, "2220": 1416, "2218": 1416, "2211": 1416, "2209": 1416, "2250": 1416, "parameth": 1416, "2253": 1416, "2257": 1416, "2284": 1416, "2275": 1416, "2320": 1416, "psuedo": 1416, "2322": 1416, "param": [1416, 1422, 1423, 1426], "2321": 1416, "2324": 1416, "2309": 1416, "2330": 1416, "2333": 1416, "2337": 1416, "asyn_lpa": 1416, "2339": 1416, "2344": 1416, "isom": 1416, "2302": 1416, "1729": 1416, "1866": 1416, "1874": 1416, "2360": 1416, "2359": 1416, "2373": 1416, "2364": 1416, "2372": 1416, "2375": 1416, "2385": 1416, "to_vertex_cov": [1416, 1422], "2386": 1416, "nxerror": 1416, "graphmatrix": [1416, 1434], "incidence_matrix": 1416, "2395": 1416, "2342": 1416, "mpl2": 1416, "2397": 1416, "2414": 1416, "2413": 1416, "gexfwrit": 1416, "2399": 1416, "2398": 1416, "gitwash": [1416, 1422], "2371": 1416, "2351": 1416, "2328": 1416, "2332": 1416, "2366": 1416, "gdal": [1416, 1420, 1421, 1422, 1434], "2416": 1416, "iteritem": 1416, "2461": 1416, "2480": 1416, "2500": 1416, "2501": 1416, "2521": 1416, "2530": 1416, "cherri": 1416, "2535": 1416, "2539": 1416, "2551": 1416, "2536": 1416, "2555": 1416, "2583": 1416, "2596": 1416, "texext": 1416, "math_dollar": 1416, "2609": 1416, "2617": 1416, "2622": 1416, "2623": 1416, "prep": 1416, "2624": 1416, "2647": 1416, "is_string_lik": [1416, 1421, 1422, 1434], "2659": 1416, "2830": 1417, "2825": 1417, "2821": 1417, "2823": 1417, "2784": 1417, "inverse_line_graph": [1417, 1420], "2241": 1417, "2782": 1417, "2252": 1417, "2063": 1417, "2498": 1417, "2729": 1417, "2572": 1417, "charg": 1417, "geographical_threshold_graph": 1417, "customiz": 1417, "custom_dist": 1417, "2554": 1417, "k_edge_augment": 1417, "2812": 1417, "2811": 1417, "2766": 1417, "2776": 1417, "2774": 1417, "2753": 1417, "jit_graph": [1417, 1420, 1422], "2788": 1417, "2819": 1417, "connected_component_subgraph": [1417, 1420], "biconnected_component_subgraph": [1417, 1420], "attracting_component_subgraph": [1417, 1420], "strongly_connected_component_subgraph": [1417, 1420], "weakly_connected_component_subgraph": [1417, 1420], "_compon": 1417, "amadeo": 1417, "boskovit": 1417, "bradburn": 1417, "bradwai": 1417, "ariel": 1417, "chinn": 1417, "bradlei": 1417, "ellert": 1417, "erispaha": 1417, "ioanni": 1417, "filippidi": 1417, "forfer": 1417, "loui": [1417, 1422], "gatin": 1417, "charl": 1417, "taplei": 1417, "hoyt": 1417, "lamb": 1417, "sanghack": [1417, 1421], "viraj": 1417, "parimi": 1417, "dima": 1417, "pasechnik": 1417, "naresh": 1417, "peshw": 1417, "wegi": 1417, "aweltsch": [1417, 1418], "gfyoung": 1417, "md0000": 1417, "mddddd": 1417, "talhum": 1417, "2839": 1417, "2838": 1417, "2837": 1417, "2829": 1417, "clobber": 1417, "2824": 1417, "component_subgraph": 1417, "2818": 1417, "attrib": 1417, "2817": 1417, "2801": 1417, "2816": 1417, "mrg": [1417, 1423], "2815": 1417, "2814": 1417, "2810": 1417, "forbidden": 1417, "2798": 1417, "2757": 1417, "2760": 1417, "2800": 1417, "steiner_tre": [1417, 1421], "metric_closur": 1417, "2783": 1417, "2781": 1417, "xcode": 1417, "osx_imag": 1417, "yml": [1417, 1422, 1423, 1434], "2780": 1417, "2779": 1417, "2361": 1417, "2775": 1417, "2773": 1417, "2771": 1417, "source_date_epoch": 1417, "2735": 1417, "2736": 1417, "2299": 1417, "2762": 1417, "2770": 1417, "2769": 1417, "2681": 1417, "1700": 1417, "2768": 1417, "2763": 1417, "fureth": 1417, "2764": 1417, "2726": 1417, "2759": 1417, "2751": 1417, "2744": 1417, "2746": 1417, "2732": 1417, "_triangles_and_degree_it": 1417, "2725": 1417, "nx_shp": [1417, 1422], "2721": 1417, "2722": 1417, "2718": 1417, "2703": 1417, "inter_community_edg": 1417, "2713": 1417, "2427": 1417, "2712": 1417, "migration_guide_from_1": 1417, "x_to_2": 1417, "2694": 1417, "2698": 1417, "2503": 1417, "2696": 1417, "2690": 1417, "2693": 1417, "2672": 1417, "2644": 1417, "2653": 1417, "2687": 1417, "2680": 1417, "2678": 1417, "2677": 1417, "untouch": 1418, "translat": 1418, "leak": [1418, 1422], "reformul": 1418, "generic_graph_view": [1418, 1420], "reverse_view": [1418, 1419, 1420], "subgraph_view": [1418, 1420, 1421], "node_filt": 1418, "edge_filt": 1418, "float64": 1418, "int64": [1418, 1421], "all_topolgical_sort": 1418, "top_sort": 1418, "bellmon": 1418, "_prep_create_us": 1418, "sentin": 1418, "reverseview": [1418, 1419, 1420], "reversemultiview": 1418, "subdigraph": [1418, 1420], "submultigraph": [1418, 1420], "submultidigraph": [1418, 1420], "multigraphview": [1418, 1420], "multidigraphview": [1418, 1420], "derec": 1418, "william": [1418, 1420, 1426], "bernoudi": 1418, "condello": 1418, "saurav": 1418, "dormir30": 1418, "fetterman": 1418, "gyori": 1418, "ramiro": [1418, 1420], "g\u00f3mez": [1418, 1420], "dar\u00edo": 1418, "here\u00f1\u00fa": 1418, "aabir": [1418, 1421], "abubak": [1418, 1421], "kar": [1418, 1421], "jacek": 1418, "karwowski": 1418, "moham": [1418, 1422], "kashif": [1418, 1422], "kraeutmann": 1418, "winni": 1418, "kretzschmar": [1418, 1419], "lakovi\u0107": 1418, "katrin": 1418, "leinweb": 1418, "lenail": 1418, "lonnen": [1418, 1422], "ji": 1418, "baurzhan": 1418, "muftakhidinov": 1418, "pliqu": 1418, "tom": [1418, 1421, 1422], "russel": [1418, 1421], "gabe": 1418, "schwartz": [1418, 1420], "torr": 1418, "v\u00e1\u0148a": 1418, "ruaridh": 1418, "williamson": 1418, "huon": 1418, "felix": 1418, "yan": 1418, "armando1793": 1418, "hongshaoyang": 1418, "komo": [1418, 1419], "luzpaz": 1418, "mtrenfield": 1418, "regstrtn": 1418, "announc": [1419, 1420], "couldn": 1419, "blind": 1419, "babst": 1419, "barnoud": 1419, "chow": 1419, "clayton": 1419, "micha\u00ebl": 1419, "defferrard": 1419, "eyal": 1419, "tanai": 1419, "gahlot": 1419, "\u00f8yvind": 1419, "heddeland": 1419, "instefjord": 1419, "hongwei": 1419, "kieran": 1419, "dongkwan": 1419, "elia": 1419, "kuth": 1419, "niema": 1419, "pozza": 1419, "antoin": [1419, 1420, 1421], "prouvost": 1419, "micka\u00ebl": 1419, "schoentgen": 1419, "johann": 1419, "utkarsh": 1419, "upadhyai": 1419, "damiano": 1419, "guidoeco": 1419, "jeanfrancois8512": 1419, "last2sword": 1419, "prufe": 1420, "unionfind": [1420, 1421, 1422, 1434], "betweenness_subset": [1420, 1434], "lexico": 1420, "topo": 1420, "async": 1420, "label_propag": 1420, "partial_dupl": 1420, "is_list_of_int": [1420, 1422, 1434], "is_bunch_of_int": 1420, "multireverseview": 1420, "205": 1420, "edgebf": 1420, "3397": 1420, "3403": 1420, "3407": 1420, "3413": 1420, "3415": 1420, "lfr_benchmark": 1420, "3411": 1420, "2939": 1420, "3401": 1420, "3409": 1420, "inconsist": [1420, 1423, 1434, 1436], "3395": 1420, "3421": 1420, "3423": 1420, "3424": 1420, "3427": 1420, "3224": 1420, "3429": 1420, "betwe": 1420, "3425": 1420, "3222": 1420, "3436": 1420, "nandahkrishna": 1420, "3438": 1420, "3447": 1420, "3435": 1420, "random_degree_sequence_graph": 1420, "3451": 1420, "cb": 1420, "3476": 1420, "raph": 1420, "3468": 1420, "3462": 1420, "3461": 1420, "3385": 1420, "3454": 1420, "3487": 1420, "3484": 1420, "3437": 1420, "3495": 1420, "3493": 1420, "3494": 1420, "3377": 1420, "3504": 1420, "3503": 1420, "3516": 1420, "3515": 1420, "safeguard": 1420, "3526": 1420, "3519": 1420, "3524": 1420, "3529": 1420, "pypy3": 1420, "3514": 1420, "3535": 1420, "3507": 1420, "3508": 1420, "3527": 1420, "1054": 1420, "3353": 1420, "3445": 1420, "3536": 1420, "3538": 1420, "3444": 1420, "3312": 1420, "asyn_lpa_commun": [1420, 1423], "3545": 1420, "3540": 1420, "3552": 1420, "3554": 1420, "3551": 1420, "3557": 1420, "3555": 1420, "3542": 1420, "malch2": 1420, "py3": [1420, 1421, 1422, 1423], "3564": 1420, "3566": 1420, "doctr": 1420, "3568": 1420, "3569": 1420, "tabl": [1420, 1422], "3570": 1420, "3534": 1420, "3575": 1420, "3576": 1420, "3579": 1420, "3400": 1420, "latexpdf": 1420, "3592": 1420, "3512": 1420, "3491": 1420, "3588": 1420, "test_gexf": 1420, "serialis": 1420, "py2": [1420, 1428], "internet_as_graph": 1420, "3574": 1420, "3598": 1420, "3599": 1420, "3573": 1420, "3606": 1420, "3604": 1420, "3603": 1420, "3267": 1420, "pycodestyl": 1420, "3608": 1420, "3609": 1420, "3611": 1420, "3187": 1420, "3613": 1420, "3183": 1420, "3293": 1420, "3614": 1420, "3399": 1420, "3619": 1420, "3620": [1420, 1422], "partial_duplication_graph": 1420, "3626": 1420, "3629": 1420, "3628": 1420, "incod": 1420, "3621": 1420, "3631": 1420, "3630": 1420, "3617": 1420, "edgeattr": 1420, "3634": 1420, "maco": [1420, 1430], "3636": 1420, "3638": 1420, "3627": 1420, "teardown": 1420, "cont": 1420, "static": 1420, "v2userfunc": 1420, "test_funct": 1420, "test_mst": 1420, "reportview": [1420, 1422], "assert_": 1420, "reenabl": [1420, 1422, 1434], "test_color": 1420, "pytestimportorskip": 1420, "importorskip": [1420, 1421, 1429], "assert_almost_equ": 1420, "almost_equ": [1420, 1422], "skirt": 1420, "wih": 1420, "test_harmon": 1420, "demo": 1420, "assert_rais": 1420, "eq_": 1420, "ok_": 1420, "skiptest": 1420, "3639": 1420, "3648": 1420, "4rc1": 1420, "3644": 1420, "3645": 1420, "3652": 1420, "rajendra": 1420, "adhikari": 1420, "bitai": 1420, "tobia": 1420, "blass": 1420, "malayaja": 1420, "chutani": 1420, "cock": 1420, "almog": 1420, "diogo": 1420, "cruz": 1420, "darm\u00fcntzel": 1420, "elan": 1420, "ernest": 1420, "jacob": 1420, "jona": [1420, 1422], "fahlenkamp": 1420, "fedel": 1420, "andi": [1420, 1421], "garfield": [1420, 1421], "henri": [1420, 1421], "steffen": 1420, "hirschmann": 1420, "mchugh": 1420, "iii": 1420, "matej": 1420, "klemen": 1420, "labarr": 1420, "anton": [1420, 1421], "lodder": [1420, 1421], "mcer4294967296": 1420, "fil": 1420, "menczer": 1420, "metz": 1420, "subhendu": 1420, "ranajn": 1420, "mishra": [1420, 1422], "morton": 1420, "myatt": 1420, "opfer": 1420, "aditya": [1420, 1421], "pal": [1420, 1421], "ortiz": 1420, "jose": [1420, 1421], "pinilla": [1420, 1421], "alexio": 1420, "polyzo": 1420, "recachina": [1420, 1422], "rosenth": 1420, "kanishk": [1420, 1421], "tantia": [1420, 1421], "tham": 1420, "valkana": 1420, "hsi": 1420, "hsuan": 1420, "xiangyu": [1420, 1422], "xu": [1420, 1422], "karl": 1420, "michelb7398": 1420, "mikedeltalima": 1420, "skhiuk": 1420, "tbalint": 1420, "pathlib": 1421, "lukes_partit": 1421, "graph_hash": 1421, "path_weight": 1421, "paley_graph": 1421, "interval_graph": 1421, "covers": 1421, "kernighan_lin_bisect": [1421, 1422], "rooted_tree_isomorph": 1421, "has_numpi": 1421, "astar": [1421, 1422, 1430], "directional_dijksta": 1421, "view_pygraphviz": 1421, "4155": 1421, "prepar": [1421, 1422], "4162": 1421, "3680": 1421, "make_str": [1421, 1434], "3725": 1421, "3983": 1421, "display_pygraphviz": [1421, 1434], "4161": 1421, "edge_betwe": [1421, 1434], "_naive_greedy_modularity_commun": [1421, 1434], "naive_greedy_modularity_commun": [1421, 1422], "version_info": 1421, "pep8_speak": 1421, "3610": 1421, "w503": 1421, "sed": 1421, "3678": 1421, "3646": 1421, "3681": 1421, "_single_shortest_path_length": 1421, "3647": 1421, "3431": 1421, "make_small_graph": [1421, 1423, 1434], "3676": 1421, "3684": 1421, "laplacion": 1421, "3689": 1421, "3666": 1421, "shim": 1421, "3698": 1421, "3697": 1421, "coc": 1421, "accur": 1421, "3699": 1421, "licens": 1421, "3710": 1421, "boiler": [1421, 1422], "plate": [1421, 1422], "superflu": 1421, "shebang": 1421, "3713": 1421, "test_numpy_typ": 1421, "parenthesi": 1421, "3734": 1421, "3735": 1421, "3741": 1421, "3738": 1421, "3511": 1421, "3649": 1421, "3759": 1421, "yohm": 1421, "3760": 1421, "3756": 1421, "3757": 1421, "shall_layout": 1421, "3764": 1421, "3742": 1421, "fstring": [1421, 1426], "py36": 1421, "silenc": 1421, "3770": 1421, "asyn_fluidc": 1421, "3779": 1421, "3703": 1421, "3784": 1421, "3658": 1421, "3782": 1421, "3787": 1421, "3788": 1421, "3799": 1421, "shrink": 1421, "3805": 1421, "3806": 1421, "3586": 1421, "3807": 1421, "subgraph_is_monomorph": 1421, "3798": 1421, "3736": 1421, "3804": 1421, "3810": 1421, "3816": 1421, "3822": 1421, "3838": 1421, "3840": 1421, "3846": 1421, "3848": 1421, "3852": 1421, "3833": 1421, "3854": 1421, "3859": [1421, 1422], "3866": 1421, "3888": 1421, "3894": 1421, "3893": 1421, "jit_data": [1421, 1422], "3891": 1421, "3909": 1421, "logo": 1421, "3907": 1421, "3910": 1421, "3916": 1421, "3900": 1421, "3927": 1421, "3947": 1421, "3952": 1421, "3959": 1421, "3960": 1421, "3958": 1421, "3783": 1421, "3965": 1421, "simrank_similarity_numpi": [1421, 1422, 1434], "3954": 1421, "3930": 1421, "overwritten": [1421, 1422], "3935": 1421, "3948": 1421, "3949": 1421, "3973": 1421, "3961": 1421, "weaken": 1421, "3970": 1421, "3858": 1421, "3926": 1421, "3928": 1421, "3982": 1421, "context_manag": 1421, "reversed_view": 1421, "3987": 1421, "3972": 1421, "3974": 1421, "3999": 1421, "filter_egd": 1421, "4010": 1421, "4009": 1421, "4012": 1421, "int_": 1421, "4013": 1421, "4017": 1421, "3981": 1421, "3925": 1421, "4025": 1421, "4035": 1421, "dep": [1421, 1422, 1423, 1425, 1434], "nexp": 1421, "3986": 1421, "3892": 1421, "4042": 1421, "3477": 1421, "4015": 1421, "4033": 1421, "3967": 1421, "3919": 1421, "maint": [1421, 1422, 1423, 1425, 1426, 1427, 1429], "4034": 1421, "titlebar": 1421, "4044": 1421, "3879": 1421, "3855": 1421, "3841": 1421, "3761": 1421, "alg": 1421, "conn": 1421, "attribute_ac": 1421, "tst": [1421, 1422], "testalgebraicconnect": 1421, "buckminsterfulleren": 1421, "_method": 1421, "testspectralord": 1421, "4037": 1421, "__contains__": 1421, "3845": 1421, "3358": 1421, "enh": [1421, 1434], "4026": 1421, "3705": 1421, "4059": 1421, "4057": 1421, "3815": 1421, "4028": 1421, "4029": 1421, "4055": 1421, "ran": 1421, "pyupgrad": [1421, 1423], "py36plu": 1421, "psf": 1421, "4060": 1421, "4063": 1421, "3985": 1421, "4062": 1421, "4016": 1421, "4070": 1421, "osx": [1421, 1422], "4075": 1421, "brew": 1421, "4079": 1421, "4078": 1421, "reyni": 1421, "4074": 1421, "4081": 1421, "4087": 1421, "laplacianmatrix": 1421, "4090": 1421, "4096": 1421, "selfloops_edg": 1421, "4080": 1421, "builtin": 1421, "4094": 1421, "4076": 1421, "4097": 1421, "reword": 1421, "from_numpy_matrix": [1421, 1422, 1434], "4093": 1421, "rm_npmatrix": 1421, "4105": 1421, "4088": 1421, "4069": 1421, "4108": 1421, "4110": 1421, "policyt": 1421, "4112": 1421, "4103": 1421, "4117": 1421, "4119": 1421, "4123": 1421, "readthrough": [1421, 1425], "4121": 1421, "4124": 1421, "4125": 1421, "4131": 1421, "4132": 1421, "4067": 1421, "4136": 1421, "ordereddict": 1421, "4145": 1421, "fixup": [1421, 1426, 1431, 1434], "4128": 1421, "apt": 1421, "circleci": [1421, 1422], "4147": 1421, "layout_dict": 1421, "4154": 1421, "4066": 1421, "4156": 1421, "postprocess": 1421, "4160": 1421, "4004": 1421, "4163": 1421, "3470": 1421, "3763": 1421, "4164": 1421, "3347": 1421, "4159": 1421, "5rc1": 1421, "4166": 1421, "4167": 1421, "4168": 1421, "bld": 1421, "markup": 1421, "4174": 1421, "adnan": 1421, "abdulmuttaleb": 1421, "abhi": 1421, "luka": 1421, "bernwald": 1421, "isaac": [1421, 1434], "boat": 1421, "mahmut": 1421, "bulut": 1421, "r\u00fcdiger": 1421, "busch": 1421, "niko": 1421, "chan": 1421, "harold": 1421, "camden": 1421, "cheek": 1421, "bastian": [1421, 1423], "deil": 1421, "tangui": 1421, "fardet": 1421, "\u8d75\u4e30": 1421, "feng": 1421, "od": 1421, "kang": 1421, "hong": 1421, "mana": 1421, "joshi": 1421, "folgert": 1421, "karsdorp": 1421, "suni": 1421, "kirkbi": 1421, "katherin": 1421, "klise": 1421, "ilia": 1421, "kurenkov": 1421, "whi": 1421, "kwon": 1421, "lammen": 1421, "l\u00f6sche": 1421, "mackyboy12": 1421, "mattwmaster58": 1421, "mcdermott": 1421, "ibraheem": 1421, "moosa": 1421, "yohsuk": 1421, "muras": 1421, "nieminen": 1421, "orduz": 1421, "austin": 1421, "orr": 1421, "ortal": 1421, "paladitya": 1421, "pranayanchuri": 1421, "mart\u00edn": 1421, "p\u00e9rez": [1421, 1433, 1434], "pradeep": 1421, "reddi": 1421, "raamana": 1421, "rachum": 1421, "radcliff": 1421, "craig": 1421, "karthikeyan": 1421, "singaravelan": 1421, "songyu": 1421, "jeremia": 1421, "traub": 1421, "jonatan": 1421, "westholm": 1421, "adnanmuttaleb": 1421, "anentrop": 1421, "beckedorf": 1421, "ernstklrb": 1421, "farhanbhoraniya": 1421, "fj128": 1421, "gseva": 1421, "haochenucr": 1421, "johnthagen": 1421, "kiryph": 1421, "muratgu": 1421, "sauxpa": 1421, "tombeek111": 1421, "willpeppo": 1421, "upcom": [1422, 1425], "late": 1422, "__str__": 1422, "theme": [1422, 1432, 1433, 1434], "random_ordered_tre": 1422, "partition_qu": 1422, "prominent_group": 1422, "prefix_tree_recurs": 1422, "etwork": 1422, "nhancement": 1422, "ropos": 1422, "3886": 1422, "4138": 1422, "4183": 1422, "4193": 1422, "4198": 1422, "4206": 1422, "4240": 1422, "4294": 1422, "4319": 1422, "4841": 1422, "4317": 1422, "4356": 1422, "bidirectional_djikstra": 1422, "4361": 1422, "4435": 1422, "4446": 1422, "4463": 1422, "4476": 1422, "4519": 1422, "4528": 1422, "4560": 1422, "4588": 1422, "4607": 1422, "4640": 1422, "4659": 1422, "dual_barabasi_albert_graph": 1422, "4690": 1422, "modularity_max": 1422, "4727": 1422, "4739": 1422, "argmap": 1422, "4757": 1422, "stratif": 1422, "4768": 1422, "4769": 1422, "4847": 1422, "4190": 1422, "tracemin_chol": 1422, "4216": 1422, "to_": 1422, "_arrai": 1422, "4360": 1422, "unifi": 1422, "regress": [1422, 1423, 1426], "4384": 1422, "4461": 1422, "binomial_tre": 1422, "4466": 1422, "4502": 1422, "4536": 1422, "simultan": 1422, "4573": 1422, "4545": 1422, "uuid": 1422, "4786": 1422, "4843": 1422, "communicability_betweeness_centr": 1422, "4850": 1422, "4851": 1422, "numeric_mixing_matrix": [1422, 1434], "4867": 1422, "4238": 1422, "4279": 1422, "is_iter": [1422, 1434], "4280": 1422, "4282": 1422, "4298": 1422, "read_shp": 1422, "edges_from_lin": 1422, "write_shp": 1422, "4355": 1422, "4428": 1422, "4449": 1422, "4448": 1422, "parition_qu": 1422, "4599": 1422, "empty_gener": [1422, 1434], "4600": 1422, "default_open": [1422, 1434], "4617": 1422, "hub_matrix": [1422, 1434], "authority_matrix": [1422, 1434], "4629": 1422, "4802": 1422, "nx_yaml": 1422, "__getattr__": 1422, "secur": [1422, 1432], "4826": 1422, "preserve_random_st": [1422, 1434], "4827": 1422, "4833": 1422, "4829": 1422, "assert_nodes_equ": 1422, "assert_edges_equ": 1422, "assert_graphs_equ": 1422, "4923": 1422, "4937": 1422, "k_nearest_neighbor": 1422, "4173": 1422, "input_data": 1422, "4176": 1422, "4182": 1422, "4185": 1422, "857aa81": 1422, "4189": 1422, "mac": 1422, "4201": 1422, "4180": 1422, "4200": 1422, "4101": 1422, "4202": 1422, "4211": 1422, "_choleskysolv": 1422, "to_numpi": 1422, "4222": 1422, "4223": 1422, "4134": 1422, "4177": 1422, "fingerprint": 1422, "4229": 1422, "ssh": 1422, "dir": 1422, "deploy": [1422, 1434], "4230": 1422, "4231": 1422, "lint": 1422, "8b1": 1422, "4235": 1422, "4237": 1422, "4234": 1422, "4241": 1422, "contract_nod": 1422, "4245": 1422, "4257": 1422, "4246": 1422, "4258": 1422, "4260": 1422, "4267": 1422, "4263": 1422, "degree_rank": 1422, "4265": 1422, "4251": 1422, "four_grid": 1422, "4264": 1422, "legibl": 1422, "4266": 1422, "readibl": [1422, 1423], "chess_exampl": 1422, "4252": 1422, "4274": 1422, "4276": 1422, "4268": 1422, "4278": 1422, "4285": 1422, "4286": 1422, "4291": 1422, "4299": 1422, "swith": 1422, "4301": 1422, "nexp2": 1422, "4289": 1422, "4307": 1422, "4310": 1422, "4312": 1422, "touchup": [1422, 1423, 1429, 1432, 1434], "4340": 1422, "4330": 1422, "4303": 1422, "sphinx33": 1422, "4342": 1422, "4331": 1422, "3823": 1422, "4333": 1422, "4284": 1422, "4296": 1422, "algebraicconnect": [1422, 1423], "4287": 1422, "4320": 1422, "4345": 1422, "4321": 1422, "4339": 1422, "4346": 1422, "4344": 1422, "4351": 1422, "4297": 1422, "4354": 1422, "bidirection_dijkstra": 1422, "4359": 1422, "4249": 1422, "4358": 1422, "4336": 1422, "4365": 1422, "mnt": 1422, "4370": 1422, "intersphinx": 1422, "4372": 1422, "4373": 1422, "4376": 1422, "4385": 1422, "4383": 1422, "boost": 1422, "4375": 1422, "4273": 1422, "buiild": 1422, "4388": 1422, "4306": 1422, "4269": 1422, "4391": 1422, "4390": 1422, "4392": 1422, "4393": 1422, "4396": 1422, "3849": 1422, "4399": 1422, "4403": 1422, "4378": 1422, "4408": 1422, "4409": 1422, "4410": 1422, "4411": 1422, "kernighan_lin": 1422, "4398": 1422, "4412": 1422, "xetex": 1422, "uft8": 1422, "4326": 1422, "4414": 1422, "4416": 1422, "geospati": [1422, 1434], "4407": 1422, "4366": 1422, "4418": 1422, "4422": 1422, "safer": 1422, "4413": 1422, "4424": 1422, "4429": 1422, "4431": 1422, "4430": 1422, "4404": 1422, "4401": 1422, "4427": 1422, "4395": 1422, "4417": 1422, "4434": 1422, "bfs_predecessor": 1422, "bfs_successor": 1422, "4438": 1422, "jit": [1422, 1434], "4450": 1422, "numpydoc": [1422, 1423, 1426, 1433, 1434], "4447": 1422, "networkxsimplex": 1422, "4455": 1422, "maxcut": 1422, "4467": 1422, "nep": 1422, "4469": 1422, "4474": 1422, "4348": 1422, "4477": 1422, "4425": 1422, "4482": 1422, "4473": 1422, "4488": 1422, "4494": 1422, "4495": 1422, "4506": 1422, "4504": 1422, "4509": 1422, "4510": 1422, "4512": 1422, "4492": 1422, "4513": 1422, "4464": 1422, "4292": 1422, "4480": 1422, "4524": 1422, "4499": 1422, "4529": 1422, "4501": 1422, "4471": 1422, "mutigraph": 1422, "4522": 1422, "node_list": 1422, "4505": 1422, "4479": 1422, "4531": 1422, "4537": 1422, "4548": 1422, "4546": 1422, "4547": 1422, "4550": 1422, "4554": 1422, "4557": 1422, "4563": 1422, "4570": 1422, "4567": 1422, "4451": 1422, "test_kernighan_lin": 1422, "4577": 1422, "4580": 1422, "4575": 1422, "4581": 1422, "4576": 1422, "4589": 1422, "choco": 1422, "4583": 1422, "perfor": 1422, "pillow": 1422, "mktemp": 1422, "4593": 1422, "4556": 1422, "nonrandom": 1422, "4613": 1422, "4622": 1422, "4620": 1422, "gitignor": 1422, "4619": 1422, "4610": 1422, "4627": 1422, "4624": 1422, "blocklist": 1422, "4628": 1422, "3153": 1422, "3260": 1422, "4639": 1422, "4635": 1422, "4642": 1422, "4638": 1422, "4646": 1422, "4651": 1422, "4649": 1422, "4655": 1422, "negative_edge_cycl": 1422, "4658": 1422, "4653": 1422, "4671": 1422, "4665": 1422, "4667": 1422, "4349": 1422, "4602": 1422, "4684": 1422, "4711": 1422, "4721": 1422, "4724": 1422, "4734": 1422, "4735": 1422, "4738": 1422, "persist": 1422, "4714": 1422, "4741": 1422, "4748": 1422, "ismorph": 1422, "4756": 1422, "4751": 1422, "4753": 1422, "4758": 1422, "reproducibilti": 1422, "4718": 1422, "4773": 1422, "4633": 1422, "4789": 1422, "imread": 1422, "4790": 1422, "auto": 1422, "3443": 1422, "4794": 1422, "4795": 1422, "4800": 1422, "4791": 1422, "4793": 1422, "4801": 1422, "4814": 1422, "restructur": 1422, "4744": 1422, "4815": 1422, "calllabl": 1422, "4678": 1422, "networksimplex": 1422, "test_networksimplex": 1422, "4685": 1422, "4625": 1422, "4817": 1422, "bar\u00e1basi": 1422, "4818": 1422, "4820": 1422, "4821": 1422, "4497": 1422, "getattr": 1422, "4831": 1422, "omp": 1422, "4830": 1422, "4572": 1422, "4825": 1422, "4828": 1422, "4839": 1422, "4582": 1422, "init": 1422, "4823": 1422, "4840": 1422, "6rc1": [1422, 1431], "4864": 1422, "4871": 1422, "4852": 1422, "4875": 1422, "ml": 1422, "4872": 1422, "4868": 1422, "4884": 1422, "4694": 1422, "4353": 1422, "edge_id": 1422, "4842": 1422, "4892": 1422, "4883": 1422, "4906": 1422, "4900": 1422, "graph_class": 1422, "4912": 1422, "coeffic": 1422, "ex": 1422, "4916": 1422, "4866": 1422, "6rc2": 1422, "4927": 1422, "4930": 1422, "4932": 1422, "4925": 1422, "_quotient_graph": 1422, "4931": 1422, "4275": 1422, "4926": 1422, "4939": 1422, "4928": 1422, "4945": 1422, "4938": 1422, "4934": 1422, "4949": 1422, "4948": 1422, "descendants_at_dist": [1422, 1423], "4952": 1422, "4947": 1422, "4954": 1422, "4958": 1422, "abhaygoy": 1422, "suvayu": 1422, "alexandr": 1422, "amori": 1422, "francesco": 1422, "andreuzzi": 1422, "raffael": 1422, "basil": 1422, "jeroen": 1422, "bergman": 1422, "bernstein": 1422, "geoff": 1422, "boe": 1422, "jeff": 1422, "bradberri": 1422, "brendel": 1422, "justin": 1422, "cai": 1422, "caswel": 1422, "charfreitag": 1422, "cho": 1422, "christopherreinartz": 1422, "dorner": 1422, "eckart": [1422, 1423], "tomohiro": 1422, "endo": 1422, "fenstermach": 1422, "fleischmann": 1422, "martha": [1422, 1425], "frysztacki": [1422, 1425], "fr\u0268\u0282tat": 1422, "sk\u02b2": 1422, "debargha": 1422, "ganguli": 1422, "cui": 1422, "hao": 1422, "flori": 1422, "hermsen": 1422, "ward": 1422, "huang": 1422, "elgun": 1422, "jabrayilzad": 1422, "jaeseung": 1422, "korbonit": 1422, "kostelac": 1422, "sebastiaan": 1422, "lokhorst": 1422, "delil": 1422, "xiaoyan": 1422, "malin": 1422, "oleh": 1422, "marshev": 1422, "jordan": 1422, "matelski": 1422, "fabio": 1422, "mazza": 1422, "mcbride": 1422, "abdulelah": 1422, "mesfer": 1422, "attila": 1422, "mester": 1422, "miroslav": 1422, "\u0161ediv\u00fd": 1422, "harsh": 1422, "murthi": 1422, "nagel": 1422, "nagi": 1422, "mehdi": 1422, "nemati": 1422, "vitalii": 1422, "pozdnyakov": 1422, "bharat": 1422, "raghunathan": 1422, "randi": 1422, "rotger": 1422, "taxo": 1422, "rubio": 1422, "kunal": 1422, "shah": 1422, "ludov": [1422, 1434], "stephan": [1422, 1434], "timmon": 1422, "tomassilli": 1422, "treinish": 1422, "trujillo": 1422, "danylo": 1422, "ulianych": 1422, "wilder": 1422, "wohn": 1422, "wolf": 1422, "shichu": 1422, "alexpsimon": 1422, "as1371": 1422, "cpurmessur": 1422, "dbxnr": 1422, "wim": 1422, "glenn": 1422, "goncaloasimo": 1422, "crowlei": 1422, "jebogaert": 1422, "josch": 1422, "ldelil": 1422, "marcusjcrook": 1422, "rozenberg": 1422, "walkeralexand": 1422, "166": 1423, "4946": 1423, "wrongli": 1423, "recalcul": 1423, "4740": 1423, "4897": 1423, "is_perfect_matc": 1423, "4924": 1423, "whne": 1423, "4929": 1423, "n_commun": [1423, 1425, 1434], "4965": 1423, "4996": 1423, "4976": 1423, "4999": 1423, "5007": 1423, "5017": 1423, "5019": 1423, "5029": 1423, "5032": 1423, "complement_edg": 1423, "5045": 1423, "geometric_edg": [1423, 1430], "5051": 1423, "5052": 1423, "5058": 1423, "5065": 1423, "5077": 1423, "5086": 1423, "5089": 1423, "5099": 1423, "5104": 1423, "5121": 1423, "_all": 1423, "5131": 1423, "edge_styl": 1423, "5139": 1423, "5144": 1423, "5145": 1423, "5153": 1423, "5154": 1423, "5172": 1423, "5197": 1423, "5216": 1423, "5217": 1423, "5232": 1423, "5247": 1423, "5250": 1423, "5285": 1423, "5287": 1423, "5288": 1423, "5324": 1423, "5336": 1423, "attr_matrix": 1423, "is_": 1423, "_match": 1423, "5055": 1423, "5114": 1423, "5143": 1423, "5166": 1423, "hmn": 1423, "lgc": 1423, "5262": 1423, "from_scipy_sparse_matrix": [1423, 1434], "5283": 1423, "make_small_undirected_graph": [1423, 1434], "5330": 1423, "5341": 1423, "5053": 1423, "5023": 1423, "5033": 1423, "5039": 1423, "trophic_level": 1423, "5087": 1423, "3389": 1423, "5095": 1423, "5056": 1423, "5078": 1423, "5119": 1423, "5122": 1423, "5091": 1423, "varnam": 1423, "5130": 1423, "5129": 1423, "documentaion": 1423, "5092": 1423, "5115": 1423, "5059": 1423, "5136": 1423, "5132": 1423, "py37": 1423, "5146": 1423, "4807": 1423, "9b0": 1423, "5148": 1423, "5150": 1423, "5151": 1423, "5134": 1423, "5156": 1423, "5159": 1423, "5123": 1423, "5174": 1423, "transoffset": 1423, "5173": 1423, "5177": 1423, "5181": 1423, "5180": 1423, "5183": 1423, "mypi": 1423, "5127": 1423, "5187": 1423, "5190": 1423, "5191": 1423, "5185": 1423, "desced": 1423, "undir": 1423, "5188": 1423, "5194": 1423, "5208": 1423, "5214": 1423, "5210": 1423, "5219": 1423, "5218": 1423, "5196": 1423, "5165": 1423, "4874": 1423, "5037": 1423, "5226": 1423, "5224": 1423, "5231": 1423, "5225": 1423, "5182": 1423, "5243": 1423, "5244": 1423, "5240": 1423, "5272": 1423, "5273": 1423, "5263": 1423, "5275": 1423, "5274": 1423, "lazy_import": [1423, 1430, 1434], "4909": 1423, "4942": 1423, "5282": 1423, "from_dict_of_list": 1423, "5267": 1423, "new_mod": 1423, "5284": 1423, "unconnect": 1423, "5289": 1423, "5296": 1423, "5300": 1423, "nxep2": 1423, "5297": 1423, "5304": 1423, "5276": 1423, "5307": 1423, "5314": 1423, "5315": 1423, "abstractset": 1423, "5317": 1423, "draw_": 1423, "5264": 1423, "5319": 1423, "5301": 1423, "5316": 1423, "5049": 1423, "5306": 1423, "4579": 1423, "inbuilt": 1423, "5327": 1423, "5337": 1423, "5338": 1423, "5342": 1423, "5345": 1423, "5346": 1423, "5339": 1423, "7rc1": 1423, "5348": 1423, "5349": 1423, "5356": 1423, "stuff": 1423, "5361": 1423, "spiral_layout": [1423, 1425], "5354": 1423, "5364": 1423, "badart": 1423, "becker": 1423, "anutosh": 1423, "bhat": [1423, 1434], "candioti": 1423, "divyansh": 1423, "yossi": 1423, "eliaz": 1423, "casper": [1423, 1434], "elteren": [1423, 1434], "gasperini": 1423, "haden": 1423, "klarner": 1423, "fabrizio": 1423, "kuruc": 1423, "paarth": 1423, "madan": 1423, "achil": 1423, "nazaret": 1423, "nikhoh": 1423, "aishwarya": 1423, "ramasethu": 1423, "ryuki": 1423, "katalin": 1423, "ciru": 1423, "thenter": 1423, "hnatiuk": 1423, "vladyslav": 1423, "eskounti": 1423, "kpberri": 1423, "heterogen": 1424, "5357": 1424, "5370": 1424, "delayedimporterrormodul": 1424, "5371": 1424, "stopiter": 1424, "5372": 1424, "scherer": 1424, "jkudla": 1424, "preview": 1425, "wasn": 1425, "nonsens": [1425, 1434], "caluat": 1425, "nbrhood": 1425, "5394": 1425, "5227": 1425, "5422": 1425, "5427": 1425, "dict_to_numpy_array1": [1425, 1434], "dict_to_numpy_array2": [1425, 1434], "dict_to_numpy_arrai": 1425, "5428": 1425, "to_tupl": [1425, 1434], "backtick": 1425, "5381": 1425, "5380": 1425, "modulartiy_max": 1425, "enforce_n_commun": 1425, "5359": 1425, "5387": 1425, "5389": 1425, "5390": 1425, "5391": 1425, "5398": 1425, "5401": 1425, "5397": 1425, "extrema": 1425, "5409": 1425, "5265": 1425, "5424": 1425, "nxep4": 1425, "toctre": 1425, "5420": 1425, "_inherit_doc": 1425, "5416": 1425, "5414": 1425, "blame": [1425, 1428], "5405": 1425, "5430": 1425, "5404": 1425, "5431": 1425, "5438": 1425, "5440": 1425, "5439": 1425, "5441": 1425, "5443": 1425, "5444": 1425, "5454": 1425, "5455": 1425, "5451": 1425, "5457": 1425, "5456": 1425, "5407": 1425, "8rc1": 1425, "5476": 1425, "5212": 1425, "5471": 1425, "5491": 1425, "5503": 1425, "5458": 1425, "5505": 1425, "5513": 1425, "riccardo": 1425, "bucco": 1425, "bussonni": [1425, 1431], "fabianbal": 1425, "keef": 1425, "lukong123": [1425, 1426, 1428, 1434], "mawhort": 1425, "mccabe": [1425, 1429, 1434], "seon82": 1425, "nikita": [1425, 1426], "sharma": [1425, 1426], "dilara": [1425, 1426, 1427, 1431, 1434], "tekinoglu": [1425, 1426, 1427, 1431, 1434], "blokhinnv": 1425, "yusuf": 1425, "csdev": 1425, "snippet": 1426, "5514": 1426, "5521": 1426, "5524": 1426, "5516": 1426, "eagerli": 1426, "5537": 1426, "5523": 1426, "autoclass": 1426, "5548": 1426, "5536": 1426, "5556": 1426, "5538": 1426, "5549": 1426, "5109": 1426, "5544": 1426, "5519": 1426, "greedy_modular": 1426, "5550": 1426, "codereview": 1426, "doctor": 1426, "5574": 1426, "5571": 1426, "induced_subgraph": 1426, "5576": 1426, "5583": 1426, "5588": 1426, "flowfunc": 1426, "5589": 1426, "outdat": 1426, "5529": 1426, "5580": 1426, "5601": 1426, "read_doc": 1426, "5604": 1426, "5605": 1426, "5600": 1426, "5403": 1426, "5442": 1426, "branching_weight": 1426, "5553": 1426, "5558": 1426, "5608": 1426, "5610": 1426, "5613": 1426, "5559": 1426, "5622": 1426, "_mat_spect_approx": 1426, "5624": 1426, "5623": 1426, "5614": 1426, "5616": 1426, "5575": 1426, "5599": 1426, "ubunut": 1426, "lt": 1426, "5630": 1426, "5632": 1426, "5633": 1426, "weakly_connect": 1426, "5593": 1426, "5638": 1426, "5635": 1426, "5617": 1426, "5647": 1426, "5648": 1426, "5646": 1426, "5641": 1426, "5652": 1426, "brit": 1426, "guillem": 1426, "franc\u00e8": 1426, "heckman": 1426, "horst": 1426, "omkaar": 1426, "tatsuya": 1426, "shimoda": 1426, "danielolsen": 1426, "sheldonkhal": 1426, "dfs_test": 1427, "5654": 1427, "__setstate__": 1427, "_adjdict": 1427, "5657": 1427, "5500": 1427, "5645": 1428, "draw_networkx_": 1428, "5660": 1428, "5667": 1428, "5661": 1428, "5677": 1428, "beta2": 1428, "5680": 1428, "random_spanning_tre": [1428, 1431], "5656": 1428, "5673": 1428, "nonisomorphic_tre": 1428, "5682": 1428, "5668": 1428, "5683": 1428, "isort": 1428, "5659": 1428, "5684": 1428, "5685": 1428, "5687": 1428, "5690": 1428, "5689": 1428, "ratcoinc": 1428, "matu": [1428, 1429, 1430], "valo": [1428, 1429, 1430], "welch": [1428, 1434], "5567": 1429, "5308": 1429, "5693": 1429, "5697": 1429, "linegraph": 1429, "5698": 1429, "analyze_symmetri": 1429, "5696": 1429, "5700": 1429, "5701": 1429, "5699": 1429, "5709": 1429, "5675": 1429, "5710": 1429, "11b2": 1429, "5717": 1429, "lightmod": 1429, "5715": 1429, "dont": 1429, "5688": 1429, "5719": 1429, "5718": 1429, "5705": 1429, "5711": 1429, "5708": 1429, "pendingdeprec": [1429, 1434], "5721": 1429, "5728": 1429, "4553": 1429, "szabolc": 1429, "horv\u00e1t": 1429, "5707": 1430, "5713": 1430, "5792": 1430, "5793": 1430, "5795": 1430, "5797": 1430, "5800": 1430, "5809": 1430, "scipy1": 1430, "5816": 1430, "5819": 1430, "5817": 1430, "5822": 1430, "hasattr": [1430, 1434], "cached_properti": [1430, 1434], "5836": [1430, 1434], "5848": 1430, "5850": 1430, "5852": 1430, "5867": 1430, "5878": [1430, 1434], "gha": 1430, "5805": 1430, "brodi": 1430, "lior": 1430, "tomoya": 1430, "nishid": 1430, "5810": 1431, "5837": 1431, "nondetermin": 1431, "5832": 1431, "5891": 1431, "5894": 1431, "5903": 1431, "5914": 1431, "about_u": 1431, "5919": 1431, "precommit": [1431, 1434], "5923": [1431, 1434], "cruft": [1431, 1434], "5924": [1431, 1434], "5787": [1431, 1434], "5899": [1431, 1434], "unsort": 1431, "5921": 1431, "5901": 1431, "5902": 1431, "bfs_layer": 1431, "5879": 1431, "5932": 1431, "5928": 1431, "nodelink": [1431, 1434], "expir": [1431, 1434], "5933": [1431, 1434], "5531": 1431, "5736": 1431, "5452": 1431, "5868": [1431, 1434], "all_pairs_lca": 1431, "5876": 1431, "5877": 1431, "5883": [1431, 1434], "5681": [1431, 1434], "5930": 1431, "matplotlb": 1431, "5937": 1431, "tanmai": 1431, "aeron": 1431, "tigran": 1431, "khachatryan": 1431, "dhaval": 1431, "kumar": 1431, "kpetridi": 1431, "5846": 1432, "5892": [1432, 1434], "5463": 1432, "5474": 1432, "5944": 1432, "5943": [1432, 1434], "5967": [1432, 1434], "5966": 1432, "5994": 1432, "tidelift": [1432, 1433], "vulner": 1432, "6001": 1432, "linter": [1432, 1433, 1434], "6006": 1432, "juanita": [1432, 1434], "gomez": [1432, 1434], "0ddoe": 1432, "pmlpm1986": 1432, "6014": 1433, "6012": [1433, 1434], "secutiri": 1433, "6019": 1433, "6022": [1433, 1434], "6023": 1433, "6024": 1433, "6027": 1433, "6039": 1433, "6036": 1433, "6080": 1433, "6034": 1433, "6071": 1433, "6106": 1433, "richclub": 1433, "6089": 1433, "6104": 1433, "6101": 1433, "6032": 1433, "6068": 1433, "6105": 1433, "6082": 1433, "6127": 1433, "6131": 1433, "6130": 1433, "6100": 1433, "6159": 1433, "6121": 1433, "6095": 1433, "test_lowest_common_ancestor": 1433, "6110": 1433, "6099": 1433, "6155": 1433, "6152": 1433, "6126": 1433, "6132": 1433, "6165": 1433, "paula": [1433, 1434], "bianchi": [1433, 1434], "diamondjoseph": 1433, "mjh9122": 1433, "alimi": [1433, 1434], "qudirah": [1433, 1434], "okit": [1433, 1434], "chimaobi": [1433, 1434], "jefter": 1433, "santiago": 1433, "tindi": 1433, "sommer": 1433, "_succ": 1434, "_adj": 1434, "somehow": 1434, "loophol": 1434, "cugraph": 1434, "5663": 1434, "5912": 1434, "5898": 1434, "6003": 1434, "avg_shortest_path_length": 1434, "5813": 1434, "5730": 1434, "5738": 1434, "5739": 1434, "5741": 1434, "5740": 1434, "5744": 1434, "5745": 1434, "5737": 1434, "5748": 1434, "5751": 1434, "5752": 1434, "5755": 1434, "5754": 1434, "5746": 1434, "5768": 1434, "5770": 1434, "5753": 1434, "5786": 1434, "5783": 1434, "5782": 1434, "5781": 1434, "5777": 1434, "5761": 1434, "5760": 1434, "5758": 1434, "5784": 1434, "5756": 1434, "5747": 1434, "5742": 1434, "5785": 1434, "5780": 1434, "5774": 1434, "5773": 1434, "5775": 1434, "5762": 1434, "5769": 1434, "5766": 1434, "5764": 1434, "5778": 1434, "5765": 1434, "5763": 1434, "5776": 1434, "5759": 1434, "5789": 1434, "5767": 1434, "5771": 1434, "5528": 1434, "5432": 1434, "5772": 1434, "5258": 1434, "5835": 1434, "5802": 1434, "5839": 1434, "5779": 1434, "5841": 1434, "5223": 1434, "sponsorship": 1434, "5843": 1434, "efficiency_measur": 1434, "5643": 1434, "5642": 1434, "degree_alg": 1434, "5644": 1434, "5522": 1434, "docbuild": 1434, "5845": 1434, "5847": 1434, "5856": 1434, "5844": 1434, "5888": 1434, "5305": 1434, "5934": 1434, "5935": 1434, "arf": 1434, "5910": 1434, "5629": 1434, "preliminari": 1434, "5788": 1434, "vf2pp_helper": 1434, "5973": 1434, "5975": 1434, "5974": 1434, "5985": 1434, "concurr": 1434, "cancel": 1434, "job": 1434, "5986": 1434, "5984": 1434, "5993": 1434, "5999": 1434, "6008": 1434, "5972": 1434, "mappedqueu": 1434, "5939": 1434, "6031": 1434, "6037": 1434, "0b1": 1434, "6085": 1434, "6093": 1434, "6098": 1434, "5988": 1434, "6114": 1434, "disjoint_path": 1434, "6113": 1434, "6146": 1434, "find_cor": 1434, "6139": 1434, "6147": 1434, "6161": 1434, "undocu": 1434, "6183": 1434, "6176": 1434, "current_flow_between": 1434, "6143": 1434, "6184": 1434, "6185": 1434, "6153": 1434, "6160": 1434, "6145": 1434, "6030": 1434, "beamsearch": 1434, "6087": 1434, "6073": 1434, "6194": 1434, "0rc1": 1434, "test_centr": 1434, "6200": 1434, "6169": 1434, "6033": 1434, "6083": 1434, "6108": 1434, "6116": 1434, "6190": 1434, "4458": 1434, "6218": 1434, "6219": 1434, "6168": 1434, "6222": 1434, "6228": 1434, "6223": 1434, "6231": 1434, "5945": 1434, "6240": 1434, "6237": 1434, "6252": 1434, "6232": 1434, "6255": 1434, "6254": 1434, "6256": 1434, "6234": 1434, "6273": 1434, "6268": 1434, "vf2pp": 1434, "6257": 1434, "6270": 1434, "6227": 1434, "6149": 1434, "6265": 1434, "6277": 1434, "6278": 1434, "6280": 1434, "6281": 1434, "smallworld": 1434, "6151": 1434, "6286": 1434, "6272": 1434, "6298": 1434, "6295": 1434, "6215": 1434, "6310": 1434, "6296": 1434, "6322": 1434, "6323": 1434, "test_internet_as_graph": 1434, "6324": 1434, "6238": 1434, "6329": 1434, "6330": 1434, "6331": 1434, "6312": 1434, "6335": 1434, "6334": 1434, "0ddoe_": 1434, "abangma": 1434, "jessika": 1434, "anurag": 1434, "heil": 1434, "hou": 1434, "danielead": 1434, "ddelang": 1434, "araujo": 1434, "watkin": 1434, "aglionbi": 1434, "kitchen": 1434, "petridi": 1434, "ladykkk": 1434, "holtz": 1434, "morrison": 1434, "turnanski": 1434, "nsengaw4c": 1434, "radoslav": 1434, "fulek": 1434, "reneechebbo": 1434, "stevenstrickl": 1434, "tina": 1434, "oberoi": 1434, "tbd": 1435, "node_attribute_dict": 1436, "fashion": 1436, "rcsb": 1436, "bank": 1436, "375": 1436, "mondai": 1436, "inde": 1436, "tendenc": 1436, "lump": 1436, "gg": 1436, "edict": 1436, "minvalu": 1436, "k_5": 1436, "k_3_5": 1436, "er": 1436, "random_lobst": 1436, "draw_shel": 1436, "draw_random": 1436, "subax3": 1436, "subax4": 1436, "curat": 1436}, "objects": {"networkx": [[1046, 0, 1, "", "AmbiguousSolution"], [798, 0, 1, "", "DiGraph"], [1046, 0, 1, "", "ExceededMaxIterations"], [1040, 0, 1, "", "Graph"], [1046, 0, 1, "", "HasACycle"], [1042, 0, 1, "", "MultiDiGraph"], [1043, 0, 1, "", "MultiGraph"], [1046, 0, 1, "", "NetworkXAlgorithmError"], [1046, 0, 1, "", "NetworkXError"], [1046, 0, 1, "", "NetworkXException"], [1046, 0, 1, "", "NetworkXNoCycle"], [1046, 0, 1, "", "NetworkXNoPath"], [1046, 0, 1, "", "NetworkXNotImplemented"], [1046, 0, 1, "", "NetworkXPointlessConcept"], [1046, 0, 1, "", "NetworkXUnbounded"], [1046, 0, 1, "", "NetworkXUnfeasible"], [1046, 0, 1, "", "NodeNotFound"], [1046, 0, 1, "", "PowerIterationFailedConvergence"], [1044, 3, 0, "-", "convert"], [1044, 3, 0, "-", "convert_matrix"], [1046, 3, 0, "-", "exception"], [1400, 3, 0, "-", "relabel"], [1401, 3, 0, "-", "utils"]], "networkx.DiGraph": [[850, 1, 1, "", "__contains__"], [851, 1, 1, "", "__getitem__"], [852, 1, 1, "", "__init__"], [853, 1, 1, "", "__iter__"], [854, 1, 1, "", "__len__"], [855, 1, 1, "", "add_edge"], [856, 1, 1, "", "add_edges_from"], [857, 1, 1, "", "add_node"], [858, 1, 1, "", "add_nodes_from"], [859, 1, 1, "", "add_weighted_edges_from"], [860, 2, 1, "", "adj"], [861, 1, 1, "", "adjacency"], [862, 1, 1, "", "clear"], [863, 1, 1, "", "clear_edges"], [864, 1, 1, "", "copy"], [865, 2, 1, "", "degree"], [866, 1, 1, "", "edge_subgraph"], [867, 2, 1, "", "edges"], [868, 1, 1, "", "get_edge_data"], [869, 1, 1, "", "has_edge"], [870, 1, 1, "", "has_node"], [871, 2, 1, "", "in_degree"], [872, 2, 1, "", "in_edges"], [873, 1, 1, "", "nbunch_iter"], [874, 1, 1, "", "neighbors"], [875, 2, 1, "", "nodes"], [876, 1, 1, "", "number_of_edges"], [877, 1, 1, "", "number_of_nodes"], [878, 1, 1, "", "order"], [879, 2, 1, "", "out_degree"], [880, 2, 1, "", "out_edges"], [881, 2, 1, "", "pred"], [882, 1, 1, "", "predecessors"], [883, 1, 1, "", "remove_edge"], [884, 1, 1, "", "remove_edges_from"], [885, 1, 1, "", "remove_node"], [886, 1, 1, "", "remove_nodes_from"], [887, 1, 1, "", "reverse"], [888, 1, 1, "", "size"], [889, 1, 1, "", "subgraph"], [890, 2, 1, "", "succ"], [891, 1, 1, "", "successors"], [892, 1, 1, "", "to_directed"], [893, 1, 1, "", "to_undirected"], [894, 1, 1, "", "update"]], "networkx.Graph": [[895, 1, 1, "", "__contains__"], [896, 1, 1, "", "__getitem__"], [897, 1, 1, "", "__init__"], [898, 1, 1, "", "__iter__"], [899, 1, 1, "", "__len__"], [900, 1, 1, "", "add_edge"], [901, 1, 1, "", "add_edges_from"], [902, 1, 1, "", "add_node"], [903, 1, 1, "", "add_nodes_from"], [904, 1, 1, "", "add_weighted_edges_from"], [905, 2, 1, "", "adj"], [906, 1, 1, "", "adjacency"], [907, 1, 1, "", "clear"], [908, 1, 1, "", "clear_edges"], [909, 1, 1, "", "copy"], [910, 2, 1, "", "degree"], [911, 1, 1, "", "edge_subgraph"], [912, 2, 1, "", "edges"], [913, 1, 1, "", "get_edge_data"], [914, 1, 1, "", "has_edge"], [915, 1, 1, "", "has_node"], [916, 1, 1, "", "nbunch_iter"], [917, 1, 1, "", "neighbors"], [918, 2, 1, "", "nodes"], [919, 1, 1, "", "number_of_edges"], [920, 1, 1, "", "number_of_nodes"], [921, 1, 1, "", "order"], [922, 1, 1, "", "remove_edge"], [923, 1, 1, "", "remove_edges_from"], [924, 1, 1, "", "remove_node"], [925, 1, 1, "", "remove_nodes_from"], [926, 1, 1, "", "size"], [927, 1, 1, "", "subgraph"], [928, 1, 1, "", "to_directed"], [929, 1, 1, "", "to_undirected"], [930, 1, 1, "", "update"]], "networkx.MultiDiGraph": [[931, 1, 1, "", "__contains__"], [932, 1, 1, "", "__getitem__"], [933, 1, 1, "", "__init__"], [934, 1, 1, "", "__iter__"], [935, 1, 1, "", "__len__"], [936, 1, 1, "", "add_edge"], [937, 1, 1, "", "add_edges_from"], [938, 1, 1, "", "add_node"], [939, 1, 1, "", "add_nodes_from"], [940, 1, 1, "", "add_weighted_edges_from"], [941, 2, 1, "", "adj"], [942, 1, 1, "", "adjacency"], [943, 1, 1, "", "clear"], [944, 1, 1, "", "clear_edges"], [945, 1, 1, "", "copy"], [946, 2, 1, "", "degree"], [947, 1, 1, "", "edge_subgraph"], [948, 2, 1, "", "edges"], [949, 1, 1, "", "get_edge_data"], [950, 1, 1, "", "has_edge"], [951, 1, 1, "", "has_node"], [952, 2, 1, "", "in_degree"], [953, 2, 1, "", "in_edges"], [954, 1, 1, "", "nbunch_iter"], [955, 1, 1, "", "neighbors"], [956, 1, 1, "", "new_edge_key"], [957, 2, 1, "", "nodes"], [958, 1, 1, "", "number_of_edges"], [959, 1, 1, "", "number_of_nodes"], [960, 1, 1, "", "order"], [961, 2, 1, "", "out_degree"], [962, 2, 1, "", "out_edges"], [963, 2, 1, "", "pred"], [964, 1, 1, "", "predecessors"], [965, 1, 1, "", "remove_edge"], [966, 1, 1, "", "remove_edges_from"], [967, 1, 1, "", "remove_node"], [968, 1, 1, "", "remove_nodes_from"], [969, 1, 1, "", "reverse"], [970, 1, 1, "", "size"], [971, 1, 1, "", "subgraph"], [972, 2, 1, "", "succ"], [973, 1, 1, "", "successors"], [974, 1, 1, "", "to_directed"], [975, 1, 1, "", "to_undirected"], [976, 1, 1, "", "update"]], "networkx.MultiGraph": [[977, 1, 1, "", "__contains__"], [978, 1, 1, "", "__getitem__"], [979, 1, 1, "", "__init__"], [980, 1, 1, "", "__iter__"], [981, 1, 1, "", "__len__"], [982, 1, 1, "", "add_edge"], [983, 1, 1, "", "add_edges_from"], [984, 1, 1, "", "add_node"], [985, 1, 1, "", "add_nodes_from"], [986, 1, 1, "", "add_weighted_edges_from"], [987, 2, 1, "", "adj"], [988, 1, 1, "", "adjacency"], [989, 1, 1, "", "clear"], [990, 1, 1, "", "clear_edges"], [991, 1, 1, "", "copy"], [992, 2, 1, "", "degree"], [993, 1, 1, "", "edge_subgraph"], [994, 2, 1, "", "edges"], [995, 1, 1, "", "get_edge_data"], [996, 1, 1, "", "has_edge"], [997, 1, 1, "", "has_node"], [998, 1, 1, "", "nbunch_iter"], [999, 1, 1, "", "neighbors"], [1000, 1, 1, "", "new_edge_key"], [1001, 2, 1, "", "nodes"], [1002, 1, 1, "", "number_of_edges"], [1003, 1, 1, "", "number_of_nodes"], [1004, 1, 1, "", "order"], [1005, 1, 1, "", "remove_edge"], [1006, 1, 1, "", "remove_edges_from"], [1007, 1, 1, "", "remove_node"], [1008, 1, 1, "", "remove_nodes_from"], [1009, 1, 1, "", "size"], [1010, 1, 1, "", "subgraph"], [1011, 1, 1, "", "to_directed"], [1012, 1, 1, "", "to_undirected"], [1013, 1, 1, "", "update"]], "networkx.algorithms": [[113, 3, 0, "-", "approximation"], [114, 3, 0, "-", "assortativity"], [115, 3, 0, "-", "asteroidal"], [116, 3, 0, "-", "bipartite"], [117, 3, 0, "-", "boundary"], [118, 3, 0, "-", "bridges"], [119, 3, 0, "-", "centrality"], [120, 3, 0, "-", "chains"], [121, 3, 0, "-", "chordal"], [122, 3, 0, "-", "clique"], [123, 3, 0, "-", "cluster"], [124, 3, 0, "-", "coloring"], [125, 3, 0, "-", "communicability_alg"], [126, 3, 0, "-", "community"], [127, 3, 0, "-", "components"], [128, 3, 0, "-", "connectivity"], [129, 3, 0, "-", "core"], [130, 3, 0, "-", "covering"], [131, 3, 0, "-", "cuts"], [132, 3, 0, "-", "cycles"], [133, 3, 0, "-", "d_separation"], [134, 3, 0, "-", "dag"], [135, 3, 0, "-", "distance_measures"], [136, 3, 0, "-", "distance_regular"], [137, 3, 0, "-", "dominance"], [138, 3, 0, "-", "dominating"], [139, 3, 0, "-", "efficiency_measures"], [140, 3, 0, "-", "euler"], [141, 3, 0, "-", "flow"], [756, 3, 0, "-", "graph_hashing"], [757, 3, 0, "-", "graphical"], [758, 3, 0, "-", "hierarchy"], [759, 3, 0, "-", "hybrid"], [761, 3, 0, "-", "isolate"], [762, 3, 0, "-", "isomorphism"], [766, 3, 0, "-", "link_prediction"], [767, 3, 0, "-", "lowest_common_ancestors"], [768, 3, 0, "-", "matching"], [769, 3, 0, "-", "minors"], [770, 3, 0, "-", "mis"], [771, 3, 0, "-", "moral"], [772, 3, 0, "-", "node_classification"], [773, 3, 0, "-", "non_randomness"], [775, 3, 0, "-", "planar_drawing"], [776, 3, 0, "-", "planarity"], [777, 3, 0, "-", "polynomials"], [778, 3, 0, "-", "reciprocity"], [779, 3, 0, "-", "regular"], [780, 3, 0, "-", "richclub"], [782, 3, 0, "-", "similarity"], [783, 3, 0, "-", "simple_paths"], [784, 3, 0, "-", "smallworld"], [785, 3, 0, "-", "smetric"], [786, 3, 0, "-", "sparsifiers"], [787, 3, 0, "-", "structuralholes"], [788, 3, 0, "-", "summarization"], [789, 3, 0, "-", "swap"], [790, 3, 0, "-", "threshold"], [791, 3, 0, "-", "tournament"], [794, 3, 0, "-", "triads"], [795, 3, 0, "-", "vitality"], [796, 3, 0, "-", "voronoi"], [797, 3, 0, "-", "wiener"]], "networkx.algorithms.approximation": [[113, 3, 0, "-", "clique"], [113, 3, 0, "-", "clustering_coefficient"], [113, 3, 0, "-", "connectivity"], [113, 3, 0, "-", "distance_measures"], [113, 3, 0, "-", "dominating_set"], [113, 3, 0, "-", "kcomponents"], [113, 3, 0, "-", "matching"], [113, 3, 0, "-", "maxcut"], [113, 3, 0, "-", "ramsey"], [113, 3, 0, "-", "steinertree"], [113, 3, 0, "-", "traveling_salesman"], [113, 3, 0, "-", "treewidth"], [113, 3, 0, "-", "vertex_cover"]], "networkx.algorithms.approximation.clique": [[210, 4, 1, "", "clique_removal"], [211, 4, 1, "", "large_clique_size"], [212, 4, 1, "", "max_clique"], [213, 4, 1, "", "maximum_independent_set"]], "networkx.algorithms.approximation.clustering_coefficient": [[214, 4, 1, "", "average_clustering"]], "networkx.algorithms.approximation.connectivity": [[215, 4, 1, "", "all_pairs_node_connectivity"], [216, 4, 1, "", "local_node_connectivity"], [217, 4, 1, "", "node_connectivity"]], "networkx.algorithms.approximation.distance_measures": [[218, 4, 1, "", "diameter"]], "networkx.algorithms.approximation.dominating_set": [[219, 4, 1, "", "min_edge_dominating_set"], [220, 4, 1, "", "min_weighted_dominating_set"]], "networkx.algorithms.approximation.kcomponents": [[221, 4, 1, "", "k_components"]], "networkx.algorithms.approximation.matching": [[222, 4, 1, "", "min_maximal_matching"]], "networkx.algorithms.approximation.maxcut": [[223, 4, 1, "", "one_exchange"], [224, 4, 1, "", "randomized_partitioning"]], "networkx.algorithms.approximation.ramsey": [[225, 4, 1, "", "ramsey_R2"]], "networkx.algorithms.approximation.steinertree": [[226, 4, 1, "", "metric_closure"], [227, 4, 1, "", "steiner_tree"]], "networkx.algorithms.approximation.traveling_salesman": [[228, 4, 1, "", "asadpour_atsp"], [229, 4, 1, "", "christofides"], [230, 4, 1, "", "greedy_tsp"], [231, 4, 1, "", "simulated_annealing_tsp"], [232, 4, 1, "", "threshold_accepting_tsp"], [233, 4, 1, "", "traveling_salesman_problem"]], "networkx.algorithms.approximation.treewidth": [[234, 4, 1, "", "treewidth_min_degree"], [235, 4, 1, "", "treewidth_min_fill_in"]], "networkx.algorithms.approximation.vertex_cover": [[236, 4, 1, "", "min_weighted_vertex_cover"]], "networkx.algorithms.assortativity": [[237, 4, 1, "", "attribute_assortativity_coefficient"], [238, 4, 1, "", "attribute_mixing_dict"], [239, 4, 1, "", "attribute_mixing_matrix"], [240, 4, 1, "", "average_degree_connectivity"], [241, 4, 1, "", "average_neighbor_degree"], [242, 4, 1, "", "degree_assortativity_coefficient"], [243, 4, 1, "", "degree_mixing_dict"], [244, 4, 1, "", "degree_mixing_matrix"], [245, 4, 1, "", "degree_pearson_correlation_coefficient"], [246, 4, 1, "", "mixing_dict"], [247, 4, 1, "", "node_attribute_xy"], [248, 4, 1, "", "node_degree_xy"], [249, 4, 1, "", "numeric_assortativity_coefficient"]], "networkx.algorithms.asteroidal": [[250, 4, 1, "", "find_asteroidal_triple"], [251, 4, 1, "", "is_at_free"]], "networkx.algorithms.bipartite": [[116, 3, 0, "-", "basic"], [116, 3, 0, "-", "centrality"], [116, 3, 0, "-", "cluster"], [116, 3, 0, "-", "covering"], [116, 3, 0, "-", "edgelist"], [116, 3, 0, "-", "generators"], [116, 3, 0, "-", "matching"], [116, 3, 0, "-", "matrix"], [116, 3, 0, "-", "projection"], [116, 3, 0, "-", "redundancy"], [116, 3, 0, "-", "spectral"]], "networkx.algorithms.bipartite.basic": [[252, 4, 1, "", "color"], [253, 4, 1, "", "degrees"], [254, 4, 1, "", "density"], [255, 4, 1, "", "is_bipartite"], [256, 4, 1, "", "is_bipartite_node_set"], [257, 4, 1, "", "sets"]], "networkx.algorithms.bipartite.centrality": [[258, 4, 1, "", "betweenness_centrality"], [259, 4, 1, "", "closeness_centrality"], [260, 4, 1, "", "degree_centrality"]], "networkx.algorithms.bipartite.cluster": [[261, 4, 1, "", "average_clustering"], [262, 4, 1, "", "clustering"], [263, 4, 1, "", "latapy_clustering"], [264, 4, 1, "", "robins_alexander_clustering"]], "networkx.algorithms.bipartite.covering": [[265, 4, 1, "", "min_edge_cover"]], "networkx.algorithms.bipartite.edgelist": [[266, 4, 1, "", "generate_edgelist"], [267, 4, 1, "", "parse_edgelist"], [268, 4, 1, "", "read_edgelist"], [269, 4, 1, "", "write_edgelist"]], "networkx.algorithms.bipartite.generators": [[270, 4, 1, "", "alternating_havel_hakimi_graph"], [271, 4, 1, "", "complete_bipartite_graph"], [272, 4, 1, "", "configuration_model"], [273, 4, 1, "", "gnmk_random_graph"], [274, 4, 1, "", "havel_hakimi_graph"], [275, 4, 1, "", "preferential_attachment_graph"], [276, 4, 1, "", "random_graph"], [277, 4, 1, "", "reverse_havel_hakimi_graph"]], "networkx.algorithms.bipartite.matching": [[278, 4, 1, "", "eppstein_matching"], [279, 4, 1, "", "hopcroft_karp_matching"], [280, 4, 1, "", "maximum_matching"], [281, 4, 1, "", "minimum_weight_full_matching"], [282, 4, 1, "", "to_vertex_cover"]], "networkx.algorithms.bipartite.matrix": [[283, 4, 1, "", "biadjacency_matrix"], [284, 4, 1, "", "from_biadjacency_matrix"]], "networkx.algorithms.bipartite.projection": [[285, 4, 1, "", "collaboration_weighted_projected_graph"], [286, 4, 1, "", "generic_weighted_projected_graph"], [287, 4, 1, "", "overlap_weighted_projected_graph"], [288, 4, 1, "", "projected_graph"], [289, 4, 1, "", "weighted_projected_graph"]], "networkx.algorithms.bipartite.redundancy": [[290, 4, 1, "", "node_redundancy"]], "networkx.algorithms.bipartite.spectral": [[291, 4, 1, "", "spectral_bipartivity"]], "networkx.algorithms.boundary": [[292, 4, 1, "", "edge_boundary"], [293, 4, 1, "", "node_boundary"]], "networkx.algorithms.bridges": [[294, 4, 1, "", "bridges"], [295, 4, 1, "", "has_bridges"], [296, 4, 1, "", "local_bridges"]], "networkx.algorithms.centrality": [[297, 4, 1, "", "approximate_current_flow_betweenness_centrality"], [298, 4, 1, "", "betweenness_centrality"], [299, 4, 1, "", "betweenness_centrality_subset"], [300, 4, 1, "", "closeness_centrality"], [301, 4, 1, "", "communicability_betweenness_centrality"], [302, 4, 1, "", "current_flow_betweenness_centrality"], [303, 4, 1, "", "current_flow_betweenness_centrality_subset"], [304, 4, 1, "", "current_flow_closeness_centrality"], [305, 4, 1, "", "degree_centrality"], [306, 4, 1, "", "dispersion"], [307, 4, 1, "", "edge_betweenness_centrality"], [308, 4, 1, "", "edge_betweenness_centrality_subset"], [309, 4, 1, "", "edge_current_flow_betweenness_centrality"], [310, 4, 1, "", "edge_current_flow_betweenness_centrality_subset"], [311, 4, 1, "", "edge_load_centrality"], [312, 4, 1, "", "eigenvector_centrality"], [313, 4, 1, "", "eigenvector_centrality_numpy"], [314, 4, 1, "", "estrada_index"], [315, 4, 1, "", "global_reaching_centrality"], [316, 4, 1, "", "group_betweenness_centrality"], [317, 4, 1, "", "group_closeness_centrality"], [318, 4, 1, "", "group_degree_centrality"], [319, 4, 1, "", "group_in_degree_centrality"], [320, 4, 1, "", "group_out_degree_centrality"], [321, 4, 1, "", "harmonic_centrality"], [322, 4, 1, "", "in_degree_centrality"], [323, 4, 1, "", "incremental_closeness_centrality"], [324, 4, 1, "", "information_centrality"], [325, 4, 1, "", "katz_centrality"], [326, 4, 1, "", "katz_centrality_numpy"], [327, 4, 1, "", "laplacian_centrality"], [328, 4, 1, "", "load_centrality"], [329, 4, 1, "", "local_reaching_centrality"], [330, 4, 1, "", "out_degree_centrality"], [331, 4, 1, "", "percolation_centrality"], [332, 4, 1, "", "prominent_group"], [333, 4, 1, "", "second_order_centrality"], [334, 4, 1, "", "subgraph_centrality"], [335, 4, 1, "", "subgraph_centrality_exp"], [336, 4, 1, "", "trophic_differences"], [337, 4, 1, "", "trophic_incoherence_parameter"], [338, 4, 1, "", "trophic_levels"], [339, 4, 1, "", "voterank"]], "networkx.algorithms.chains": [[340, 4, 1, "", "chain_decomposition"]], "networkx.algorithms.chordal": [[341, 4, 1, "", "chordal_graph_cliques"], [342, 4, 1, "", "chordal_graph_treewidth"], [343, 4, 1, "", "complete_to_chordal_graph"], [344, 4, 1, "", "find_induced_nodes"], [345, 4, 1, "", "is_chordal"]], "networkx.algorithms.clique": [[346, 4, 1, "", "cliques_containing_node"], [347, 4, 1, "", "enumerate_all_cliques"], [348, 4, 1, "", "find_cliques"], [349, 4, 1, "", "find_cliques_recursive"], [350, 4, 1, "", "graph_clique_number"], [351, 4, 1, "", "graph_number_of_cliques"], [352, 4, 1, "", "make_clique_bipartite"], [353, 4, 1, "", "make_max_clique_graph"], [354, 4, 1, "", "max_weight_clique"], [355, 4, 1, "", "node_clique_number"], [356, 4, 1, "", "number_of_cliques"]], "networkx.algorithms.cluster": [[357, 4, 1, "", "average_clustering"], [358, 4, 1, "", "clustering"], [359, 4, 1, "", "generalized_degree"], [360, 4, 1, "", "square_clustering"], [361, 4, 1, "", "transitivity"], [362, 4, 1, "", "triangles"]], "networkx.algorithms.coloring": [[363, 4, 1, "", "equitable_color"], [364, 4, 1, "", "greedy_color"], [365, 4, 1, "", "strategy_connected_sequential"], [366, 4, 1, "", "strategy_connected_sequential_bfs"], [367, 4, 1, "", "strategy_connected_sequential_dfs"], [368, 4, 1, "", "strategy_independent_set"], [369, 4, 1, "", "strategy_largest_first"], [370, 4, 1, "", "strategy_random_sequential"], [371, 4, 1, "", "strategy_saturation_largest_first"], [372, 4, 1, "", "strategy_smallest_last"]], "networkx.algorithms.communicability_alg": [[373, 4, 1, "", "communicability"], [374, 4, 1, "", "communicability_exp"]], "networkx.algorithms.community": [[126, 3, 0, "-", "asyn_fluid"], [126, 3, 0, "-", "centrality"], [126, 3, 0, "-", "community_utils"], [126, 3, 0, "-", "kclique"], [126, 3, 0, "-", "kernighan_lin"], [126, 3, 0, "-", "label_propagation"], [126, 3, 0, "-", "louvain"], [126, 3, 0, "-", "lukes"], [126, 3, 0, "-", "modularity_max"], [126, 3, 0, "-", "quality"]], "networkx.algorithms.community.asyn_fluid": [[375, 4, 1, "", "asyn_fluidc"]], "networkx.algorithms.community.centrality": [[376, 4, 1, "", "girvan_newman"]], "networkx.algorithms.community.community_utils": [[377, 4, 1, "", "is_partition"]], "networkx.algorithms.community.kclique": [[378, 4, 1, "", "k_clique_communities"]], "networkx.algorithms.community.kernighan_lin": [[379, 4, 1, "", "kernighan_lin_bisection"]], "networkx.algorithms.community.label_propagation": [[380, 4, 1, "", "asyn_lpa_communities"], [381, 4, 1, "", "label_propagation_communities"]], "networkx.algorithms.community.louvain": [[382, 4, 1, "", "louvain_communities"], [383, 4, 1, "", "louvain_partitions"]], "networkx.algorithms.community.lukes": [[384, 4, 1, "", "lukes_partitioning"]], "networkx.algorithms.community.modularity_max": [[385, 4, 1, "", "greedy_modularity_communities"], [386, 4, 1, "", "naive_greedy_modularity_communities"]], "networkx.algorithms.community.quality": [[387, 4, 1, "", "modularity"], [388, 4, 1, "", "partition_quality"]], "networkx.algorithms.components": [[389, 4, 1, "", "articulation_points"], [390, 4, 1, "", "attracting_components"], [391, 4, 1, "", "biconnected_component_edges"], [392, 4, 1, "", "biconnected_components"], [393, 4, 1, "", "condensation"], [394, 4, 1, "", "connected_components"], [395, 4, 1, "", "is_attracting_component"], [396, 4, 1, "", "is_biconnected"], [397, 4, 1, "", "is_connected"], [398, 4, 1, "", "is_semiconnected"], [399, 4, 1, "", "is_strongly_connected"], [400, 4, 1, "", "is_weakly_connected"], [401, 4, 1, "", "kosaraju_strongly_connected_components"], [402, 4, 1, "", "node_connected_component"], [403, 4, 1, "", "number_attracting_components"], [404, 4, 1, "", "number_connected_components"], [405, 4, 1, "", "number_strongly_connected_components"], [406, 4, 1, "", "number_weakly_connected_components"], [407, 4, 1, "", "strongly_connected_components"], [408, 4, 1, "", "strongly_connected_components_recursive"], [409, 4, 1, "", "weakly_connected_components"]], "networkx.algorithms.connectivity": [[128, 3, 0, "-", "connectivity"], [128, 3, 0, "-", "cuts"], [128, 3, 0, "-", "disjoint_paths"], [128, 3, 0, "-", "edge_augmentation"], [128, 3, 0, "-", "edge_kcomponents"], [128, 3, 0, "-", "kcomponents"], [128, 3, 0, "-", "kcutsets"], [128, 3, 0, "-", "stoerwagner"], [128, 3, 0, "-", "utils"]], "networkx.algorithms.connectivity.connectivity": [[410, 4, 1, "", "all_pairs_node_connectivity"], [411, 4, 1, "", "average_node_connectivity"], [412, 4, 1, "", "edge_connectivity"], [413, 4, 1, "", "local_edge_connectivity"], [414, 4, 1, "", "local_node_connectivity"], [415, 4, 1, "", "node_connectivity"]], "networkx.algorithms.connectivity.cuts": [[416, 4, 1, "", "minimum_edge_cut"], [417, 4, 1, "", "minimum_node_cut"], [418, 4, 1, "", "minimum_st_edge_cut"], [419, 4, 1, "", "minimum_st_node_cut"]], "networkx.algorithms.connectivity.disjoint_paths": [[420, 4, 1, "", "edge_disjoint_paths"], [421, 4, 1, "", "node_disjoint_paths"]], "networkx.algorithms.connectivity.edge_augmentation": [[422, 4, 1, "", "is_k_edge_connected"], [423, 4, 1, "", "is_locally_k_edge_connected"], [424, 4, 1, "", "k_edge_augmentation"]], "networkx.algorithms.connectivity.edge_kcomponents": [[425, 0, 1, "", "EdgeComponentAuxGraph"], [426, 4, 1, "", "bridge_components"], [427, 4, 1, "", "k_edge_components"], [428, 4, 1, "", "k_edge_subgraphs"]], "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph": [[425, 1, 1, "", "__init__"], [142, 1, 1, "", "construct"], [143, 1, 1, "", "k_edge_components"], [144, 1, 1, "", "k_edge_subgraphs"]], "networkx.algorithms.connectivity.kcomponents": [[429, 4, 1, "", "k_components"]], "networkx.algorithms.connectivity.kcutsets": [[430, 4, 1, "", "all_node_cuts"]], "networkx.algorithms.connectivity.stoerwagner": [[431, 4, 1, "", "stoer_wagner"]], "networkx.algorithms.connectivity.utils": [[432, 4, 1, "", "build_auxiliary_edge_connectivity"], [433, 4, 1, "", "build_auxiliary_node_connectivity"]], "networkx.algorithms.core": [[434, 4, 1, "", "core_number"], [435, 4, 1, "", "k_core"], [436, 4, 1, "", "k_corona"], [437, 4, 1, "", "k_crust"], [438, 4, 1, "", "k_shell"], [439, 4, 1, "", "k_truss"], [440, 4, 1, "", "onion_layers"]], "networkx.algorithms.covering": [[441, 4, 1, "", "is_edge_cover"], [442, 4, 1, "", "min_edge_cover"]], "networkx.algorithms.cuts": [[443, 4, 1, "", "boundary_expansion"], [444, 4, 1, "", "conductance"], [445, 4, 1, "", "cut_size"], [446, 4, 1, "", "edge_expansion"], [447, 4, 1, "", "mixing_expansion"], [448, 4, 1, "", "node_expansion"], [449, 4, 1, "", "normalized_cut_size"], [450, 4, 1, "", "volume"]], "networkx.algorithms.cycles": [[451, 4, 1, "", "cycle_basis"], [452, 4, 1, "", "find_cycle"], [453, 4, 1, "", "minimum_cycle_basis"], [454, 4, 1, "", "recursive_simple_cycles"], [455, 4, 1, "", "simple_cycles"]], "networkx.algorithms.d_separation": [[456, 4, 1, "", "d_separated"]], "networkx.algorithms.dag": [[457, 4, 1, "", "all_topological_sorts"], [458, 4, 1, "", "ancestors"], [459, 4, 1, "", "antichains"], [460, 4, 1, "", "dag_longest_path"], [461, 4, 1, "", "dag_longest_path_length"], [462, 4, 1, "", "dag_to_branching"], [463, 4, 1, "", "descendants"], [464, 4, 1, "", "is_aperiodic"], [465, 4, 1, "", "is_directed_acyclic_graph"], [466, 4, 1, "", "lexicographical_topological_sort"], [467, 4, 1, "", "topological_generations"], [468, 4, 1, "", "topological_sort"], [469, 4, 1, "", "transitive_closure"], [470, 4, 1, "", "transitive_closure_dag"], [471, 4, 1, "", "transitive_reduction"]], "networkx.algorithms.distance_measures": [[472, 4, 1, "", "barycenter"], [473, 4, 1, "", "center"], [474, 4, 1, "", "diameter"], [475, 4, 1, "", "eccentricity"], [476, 4, 1, "", "periphery"], [477, 4, 1, "", "radius"], [478, 4, 1, "", "resistance_distance"]], "networkx.algorithms.distance_regular": [[479, 4, 1, "", "global_parameters"], [480, 4, 1, "", "intersection_array"], [481, 4, 1, "", "is_distance_regular"], [482, 4, 1, "", "is_strongly_regular"]], "networkx.algorithms.dominance": [[483, 4, 1, "", "dominance_frontiers"], [484, 4, 1, "", "immediate_dominators"]], "networkx.algorithms.dominating": [[485, 4, 1, "", "dominating_set"], [486, 4, 1, "", "is_dominating_set"]], "networkx.algorithms.efficiency_measures": [[487, 4, 1, "", "efficiency"], [488, 4, 1, "", "global_efficiency"], [489, 4, 1, "", "local_efficiency"]], "networkx.algorithms.euler": [[490, 4, 1, "", "eulerian_circuit"], [491, 4, 1, "", "eulerian_path"], [492, 4, 1, "", "eulerize"], [493, 4, 1, "", "has_eulerian_path"], [494, 4, 1, "", "is_eulerian"], [495, 4, 1, "", "is_semieulerian"]], "networkx.algorithms.flow": [[496, 4, 1, "", "boykov_kolmogorov"], [497, 4, 1, "", "build_residual_network"], [498, 4, 1, "", "capacity_scaling"], [499, 4, 1, "", "cost_of_flow"], [500, 4, 1, "", "dinitz"], [501, 4, 1, "", "edmonds_karp"], [502, 4, 1, "", "gomory_hu_tree"], [503, 4, 1, "", "max_flow_min_cost"], [504, 4, 1, "", "maximum_flow"], [505, 4, 1, "", "maximum_flow_value"], [506, 4, 1, "", "min_cost_flow"], [507, 4, 1, "", "min_cost_flow_cost"], [508, 4, 1, "", "minimum_cut"], [509, 4, 1, "", "minimum_cut_value"], [510, 4, 1, "", "network_simplex"], [511, 4, 1, "", "preflow_push"], [512, 4, 1, "", "shortest_augmenting_path"]], "networkx.algorithms.graph_hashing": [[513, 4, 1, "", "weisfeiler_lehman_graph_hash"], [514, 4, 1, "", "weisfeiler_lehman_subgraph_hashes"]], "networkx.algorithms.graphical": [[515, 4, 1, "", "is_digraphical"], [516, 4, 1, "", "is_graphical"], [517, 4, 1, "", "is_multigraphical"], [518, 4, 1, "", "is_pseudographical"], [519, 4, 1, "", "is_valid_degree_sequence_erdos_gallai"], [520, 4, 1, "", "is_valid_degree_sequence_havel_hakimi"]], "networkx.algorithms.hierarchy": [[521, 4, 1, "", "flow_hierarchy"]], "networkx.algorithms.hybrid": [[522, 4, 1, "", "is_kl_connected"], [523, 4, 1, "", "kl_connected_subgraph"]], "networkx.algorithms.isolate": [[524, 4, 1, "", "is_isolate"], [525, 4, 1, "", "isolates"], [526, 4, 1, "", "number_of_isolates"]], "networkx.algorithms.isomorphism.DiGraphMatcher": [[527, 1, 1, "", "__init__"], [528, 1, 1, "", "candidate_pairs_iter"], [529, 1, 1, "", "initialize"], [530, 1, 1, "", "is_isomorphic"], [531, 1, 1, "", "isomorphisms_iter"], [532, 1, 1, "", "match"], [533, 1, 1, "", "semantic_feasibility"], [534, 1, 1, "", "subgraph_is_isomorphic"], [535, 1, 1, "", "subgraph_isomorphisms_iter"], [536, 1, 1, "", "syntactic_feasibility"]], "networkx.algorithms.isomorphism.GraphMatcher": [[537, 1, 1, "", "__init__"], [538, 1, 1, "", "candidate_pairs_iter"], [539, 1, 1, "", "initialize"], [540, 1, 1, "", "is_isomorphic"], [541, 1, 1, "", "isomorphisms_iter"], [542, 1, 1, "", "match"], [543, 1, 1, "", "semantic_feasibility"], [544, 1, 1, "", "subgraph_is_isomorphic"], [545, 1, 1, "", "subgraph_isomorphisms_iter"], [546, 1, 1, "", "syntactic_feasibility"]], "networkx.algorithms.isomorphism": [[547, 0, 1, "", "ISMAGS"], [548, 4, 1, "", "categorical_edge_match"], [549, 4, 1, "", "categorical_multiedge_match"], [550, 4, 1, "", "categorical_node_match"], [551, 4, 1, "", "could_be_isomorphic"], [552, 4, 1, "", "fast_could_be_isomorphic"], [553, 4, 1, "", "faster_could_be_isomorphic"], [554, 4, 1, "", "generic_edge_match"], [555, 4, 1, "", "generic_multiedge_match"], [556, 4, 1, "", "generic_node_match"], [557, 4, 1, "", "is_isomorphic"], [763, 3, 0, "-", "ismags"], [764, 3, 0, "-", "isomorphvf2"], [558, 4, 1, "", "numerical_edge_match"], [559, 4, 1, "", "numerical_multiedge_match"], [560, 4, 1, "", "numerical_node_match"], [762, 3, 0, "-", "tree_isomorphism"], [762, 3, 0, "-", "vf2pp"]], "networkx.algorithms.isomorphism.ISMAGS": [[547, 1, 1, "", "__init__"], [145, 1, 1, "", "analyze_symmetry"], [146, 1, 1, "", "find_isomorphisms"], [147, 1, 1, "", "is_isomorphic"], [148, 1, 1, "", "isomorphisms_iter"], [149, 1, 1, "", "largest_common_subgraph"], [150, 1, 1, "", "subgraph_is_isomorphic"], [151, 1, 1, "", "subgraph_isomorphisms_iter"]], "networkx.algorithms.isomorphism.tree_isomorphism": [[561, 4, 1, "", "rooted_tree_isomorphism"], [562, 4, 1, "", "tree_isomorphism"]], "networkx.algorithms.isomorphism.vf2pp": [[563, 4, 1, "", "vf2pp_all_isomorphisms"], [564, 4, 1, "", "vf2pp_is_isomorphic"], [565, 4, 1, "", "vf2pp_isomorphism"]], "networkx.algorithms.link_analysis": [[765, 3, 0, "-", "hits_alg"], [765, 3, 0, "-", "pagerank_alg"]], "networkx.algorithms.link_analysis.hits_alg": [[566, 4, 1, "", "hits"]], "networkx.algorithms.link_analysis.pagerank_alg": [[567, 4, 1, "", "google_matrix"], [568, 4, 1, "", "pagerank"]], "networkx.algorithms.link_prediction": [[569, 4, 1, "", "adamic_adar_index"], [570, 4, 1, "", "cn_soundarajan_hopcroft"], [571, 4, 1, "", "common_neighbor_centrality"], [572, 4, 1, "", "jaccard_coefficient"], [573, 4, 1, "", "preferential_attachment"], [574, 4, 1, "", "ra_index_soundarajan_hopcroft"], [575, 4, 1, "", "resource_allocation_index"], [576, 4, 1, "", "within_inter_cluster"]], "networkx.algorithms.lowest_common_ancestors": [[577, 4, 1, "", "all_pairs_lowest_common_ancestor"], [578, 4, 1, "", "lowest_common_ancestor"], [579, 4, 1, "", "tree_all_pairs_lowest_common_ancestor"]], "networkx.algorithms.matching": [[580, 4, 1, "", "is_matching"], [581, 4, 1, "", "is_maximal_matching"], [582, 4, 1, "", "is_perfect_matching"], [583, 4, 1, "", "max_weight_matching"], [584, 4, 1, "", "maximal_matching"], [585, 4, 1, "", "min_weight_matching"]], "networkx.algorithms.minors": [[586, 4, 1, "", "contracted_edge"], [587, 4, 1, "", "contracted_nodes"], [588, 4, 1, "", "equivalence_classes"], [589, 4, 1, "", "identified_nodes"], [590, 4, 1, "", "quotient_graph"]], "networkx.algorithms.mis": [[591, 4, 1, "", "maximal_independent_set"]], "networkx.algorithms.moral": [[592, 4, 1, "", "moral_graph"]], "networkx.algorithms.node_classification": [[593, 4, 1, "", "harmonic_function"], [594, 4, 1, "", "local_and_global_consistency"]], "networkx.algorithms.non_randomness": [[595, 4, 1, "", "non_randomness"]], "networkx.algorithms.operators": [[774, 3, 0, "-", "all"], [774, 3, 0, "-", "binary"], [774, 3, 0, "-", "product"], [774, 3, 0, "-", "unary"]], "networkx.algorithms.operators.all": [[596, 4, 1, "", "compose_all"], [597, 4, 1, "", "disjoint_union_all"], [598, 4, 1, "", "intersection_all"], [599, 4, 1, "", "union_all"]], "networkx.algorithms.operators.binary": [[600, 4, 1, "", "compose"], [601, 4, 1, "", "difference"], [602, 4, 1, "", "disjoint_union"], [603, 4, 1, "", "full_join"], [604, 4, 1, "", "intersection"], [605, 4, 1, "", "symmetric_difference"], [606, 4, 1, "", "union"]], "networkx.algorithms.operators.product": [[607, 4, 1, "", "cartesian_product"], [608, 4, 1, "", "corona_product"], [609, 4, 1, "", "lexicographic_product"], [610, 4, 1, "", "power"], [611, 4, 1, "", "rooted_product"], [612, 4, 1, "", "strong_product"], [613, 4, 1, "", "tensor_product"]], "networkx.algorithms.operators.unary": [[614, 4, 1, "", "complement"], [615, 4, 1, "", "reverse"]], "networkx.algorithms.planar_drawing": [[616, 4, 1, "", "combinatorial_embedding_to_pos"]], "networkx.algorithms.planarity": [[617, 0, 1, "", "PlanarEmbedding"], [618, 4, 1, "", "check_planarity"], [619, 4, 1, "", "is_planar"]], "networkx.algorithms.planarity.PlanarEmbedding": [[617, 1, 1, "", "__init__"], [152, 1, 1, "", "add_edge"], [153, 1, 1, "", "add_edges_from"], [154, 1, 1, "", "add_half_edge_ccw"], [155, 1, 1, "", "add_half_edge_cw"], [156, 1, 1, "", "add_half_edge_first"], [157, 1, 1, "", "add_node"], [158, 1, 1, "", "add_nodes_from"], [159, 1, 1, "", "add_weighted_edges_from"], [160, 2, 1, "", "adj"], [161, 1, 1, "", "adjacency"], [162, 1, 1, "", "check_structure"], [163, 1, 1, "", "clear"], [164, 1, 1, "", "clear_edges"], [165, 1, 1, "", "connect_components"], [166, 1, 1, "", "copy"], [167, 2, 1, "", "degree"], [168, 1, 1, "", "edge_subgraph"], [169, 2, 1, "", "edges"], [170, 1, 1, "", "get_data"], [171, 1, 1, "", "get_edge_data"], [172, 1, 1, "", "has_edge"], [173, 1, 1, "", "has_node"], [174, 1, 1, "", "has_predecessor"], [175, 1, 1, "", "has_successor"], [176, 2, 1, "", "in_degree"], [177, 2, 1, "", "in_edges"], [178, 1, 1, "", "is_directed"], [179, 1, 1, "", "is_multigraph"], [180, 2, 1, "", "name"], [181, 1, 1, "", "nbunch_iter"], [182, 1, 1, "", "neighbors"], [183, 1, 1, "", "neighbors_cw_order"], [184, 1, 1, "", "next_face_half_edge"], [185, 2, 1, "", "nodes"], [186, 1, 1, "", "number_of_edges"], [187, 1, 1, "", "number_of_nodes"], [188, 1, 1, "", "order"], [189, 2, 1, "", "out_degree"], [190, 2, 1, "", "out_edges"], [191, 2, 1, "", "pred"], [192, 1, 1, "", "predecessors"], [193, 1, 1, "", "remove_edge"], [194, 1, 1, "", "remove_edges_from"], [195, 1, 1, "", "remove_node"], [196, 1, 1, "", "remove_nodes_from"], [197, 1, 1, "", "reverse"], [198, 1, 1, "", "set_data"], [199, 1, 1, "", "size"], [200, 1, 1, "", "subgraph"], [201, 2, 1, "", "succ"], [202, 1, 1, "", "successors"], [203, 1, 1, "", "to_directed"], [204, 1, 1, "", "to_directed_class"], [205, 1, 1, "", "to_undirected"], [206, 1, 1, "", "to_undirected_class"], [207, 1, 1, "", "traverse_face"], [208, 1, 1, "", "update"]], "networkx.algorithms.polynomials": [[620, 4, 1, "", "chromatic_polynomial"], [621, 4, 1, "", "tutte_polynomial"]], "networkx.algorithms.reciprocity": [[622, 4, 1, "", "overall_reciprocity"], [623, 4, 1, "", "reciprocity"]], "networkx.algorithms.regular": [[624, 4, 1, "", "is_k_regular"], [625, 4, 1, "", "is_regular"], [626, 4, 1, "", "k_factor"]], "networkx.algorithms.richclub": [[627, 4, 1, "", "rich_club_coefficient"]], "networkx.algorithms.shortest_paths": [[781, 3, 0, "-", "astar"], [781, 3, 0, "-", "dense"], [781, 3, 0, "-", "generic"], [781, 3, 0, "-", "unweighted"], [781, 3, 0, "-", "weighted"]], "networkx.algorithms.shortest_paths.astar": [[628, 4, 1, "", "astar_path"], [629, 4, 1, "", "astar_path_length"]], "networkx.algorithms.shortest_paths.dense": [[630, 4, 1, "", "floyd_warshall"], [631, 4, 1, "", "floyd_warshall_numpy"], [632, 4, 1, "", "floyd_warshall_predecessor_and_distance"], [633, 4, 1, "", "reconstruct_path"]], "networkx.algorithms.shortest_paths.generic": [[634, 4, 1, "", "all_shortest_paths"], [635, 4, 1, "", "average_shortest_path_length"], [636, 4, 1, "", "has_path"], [637, 4, 1, "", "shortest_path"], [638, 4, 1, "", "shortest_path_length"]], "networkx.algorithms.shortest_paths.unweighted": [[639, 4, 1, "", "all_pairs_shortest_path"], [640, 4, 1, "", "all_pairs_shortest_path_length"], [641, 4, 1, "", "bidirectional_shortest_path"], [642, 4, 1, "", "predecessor"], [643, 4, 1, "", "single_source_shortest_path"], [644, 4, 1, "", "single_source_shortest_path_length"], [645, 4, 1, "", "single_target_shortest_path"], [646, 4, 1, "", "single_target_shortest_path_length"]], "networkx.algorithms.shortest_paths.weighted": [[647, 4, 1, "", "all_pairs_bellman_ford_path"], [648, 4, 1, "", "all_pairs_bellman_ford_path_length"], [649, 4, 1, "", "all_pairs_dijkstra"], [650, 4, 1, "", "all_pairs_dijkstra_path"], [651, 4, 1, "", "all_pairs_dijkstra_path_length"], [652, 4, 1, "", "bellman_ford_path"], [653, 4, 1, "", "bellman_ford_path_length"], [654, 4, 1, "", "bellman_ford_predecessor_and_distance"], [655, 4, 1, "", "bidirectional_dijkstra"], [656, 4, 1, "", "dijkstra_path"], [657, 4, 1, "", "dijkstra_path_length"], [658, 4, 1, "", "dijkstra_predecessor_and_distance"], [659, 4, 1, "", "find_negative_cycle"], [660, 4, 1, "", "goldberg_radzik"], [661, 4, 1, "", "johnson"], [662, 4, 1, "", "multi_source_dijkstra"], [663, 4, 1, "", "multi_source_dijkstra_path"], [664, 4, 1, "", "multi_source_dijkstra_path_length"], [665, 4, 1, "", "negative_edge_cycle"], [666, 4, 1, "", "single_source_bellman_ford"], [667, 4, 1, "", "single_source_bellman_ford_path"], [668, 4, 1, "", "single_source_bellman_ford_path_length"], [669, 4, 1, "", "single_source_dijkstra"], [670, 4, 1, "", "single_source_dijkstra_path"], [671, 4, 1, "", "single_source_dijkstra_path_length"]], "networkx.algorithms.similarity": [[672, 4, 1, "", "generate_random_paths"], [673, 4, 1, "", "graph_edit_distance"], [674, 4, 1, "", "optimal_edit_paths"], [675, 4, 1, "", "optimize_edit_paths"], [676, 4, 1, "", "optimize_graph_edit_distance"], [677, 4, 1, "", "panther_similarity"], [678, 4, 1, "", "simrank_similarity"]], "networkx.algorithms.simple_paths": [[679, 4, 1, "", "all_simple_edge_paths"], [680, 4, 1, "", "all_simple_paths"], [681, 4, 1, "", "is_simple_path"], [682, 4, 1, "", "shortest_simple_paths"]], "networkx.algorithms.smallworld": [[683, 4, 1, "", "lattice_reference"], [684, 4, 1, "", "omega"], [685, 4, 1, "", "random_reference"], [686, 4, 1, "", "sigma"]], "networkx.algorithms.smetric": [[687, 4, 1, "", "s_metric"]], "networkx.algorithms.sparsifiers": [[688, 4, 1, "", "spanner"]], "networkx.algorithms.structuralholes": [[689, 4, 1, "", "constraint"], [690, 4, 1, "", "effective_size"], [691, 4, 1, "", "local_constraint"]], "networkx.algorithms.summarization": [[692, 4, 1, "", "dedensify"], [693, 4, 1, "", "snap_aggregation"]], "networkx.algorithms.swap": [[694, 4, 1, "", "connected_double_edge_swap"], [695, 4, 1, "", "directed_edge_swap"], [696, 4, 1, "", "double_edge_swap"]], "networkx.algorithms.threshold": [[697, 4, 1, "", "find_threshold_graph"], [698, 4, 1, "", "is_threshold_graph"]], "networkx.algorithms.tournament": [[699, 4, 1, "", "hamiltonian_path"], [700, 4, 1, "", "is_reachable"], [701, 4, 1, "", "is_strongly_connected"], [702, 4, 1, "", "is_tournament"], [703, 4, 1, "", "random_tournament"], [704, 4, 1, "", "score_sequence"]], "networkx.algorithms.traversal": [[792, 3, 0, "-", "beamsearch"], [792, 3, 0, "-", "breadth_first_search"], [792, 3, 0, "-", "depth_first_search"], [792, 3, 0, "-", "edgebfs"], [792, 3, 0, "-", "edgedfs"]], "networkx.algorithms.traversal.beamsearch": [[705, 4, 1, "", "bfs_beam_edges"]], "networkx.algorithms.traversal.breadth_first_search": [[706, 4, 1, "", "bfs_edges"], [707, 4, 1, "", "bfs_layers"], [708, 4, 1, "", "bfs_predecessors"], [709, 4, 1, "", "bfs_successors"], [710, 4, 1, "", "bfs_tree"], [711, 4, 1, "", "descendants_at_distance"]], "networkx.algorithms.traversal.depth_first_search": [[712, 4, 1, "", "dfs_edges"], [713, 4, 1, "", "dfs_labeled_edges"], [714, 4, 1, "", "dfs_postorder_nodes"], [715, 4, 1, "", "dfs_predecessors"], [716, 4, 1, "", "dfs_preorder_nodes"], [717, 4, 1, "", "dfs_successors"], [718, 4, 1, "", "dfs_tree"]], "networkx.algorithms.traversal.edgebfs": [[719, 4, 1, "", "edge_bfs"]], "networkx.algorithms.traversal.edgedfs": [[720, 4, 1, "", "edge_dfs"]], "networkx.algorithms.tree": [[793, 3, 0, "-", "branchings"], [793, 3, 0, "-", "coding"], [793, 3, 0, "-", "decomposition"], [793, 3, 0, "-", "mst"], [793, 3, 0, "-", "operations"], [793, 3, 0, "-", "recognition"]], "networkx.algorithms.tree.branchings": [[721, 0, 1, "", "ArborescenceIterator"], [722, 0, 1, "", "Edmonds"], [723, 4, 1, "", "branching_weight"], [724, 4, 1, "", "greedy_branching"], [725, 4, 1, "", "maximum_branching"], [726, 4, 1, "", "maximum_spanning_arborescence"], [727, 4, 1, "", "minimum_branching"], [728, 4, 1, "", "minimum_spanning_arborescence"]], "networkx.algorithms.tree.branchings.ArborescenceIterator": [[721, 1, 1, "", "__init__"]], "networkx.algorithms.tree.branchings.Edmonds": [[722, 1, 1, "", "__init__"], [209, 1, 1, "", "find_optimum"]], "networkx.algorithms.tree.coding": [[729, 5, 1, "", "NotATree"], [730, 4, 1, "", "from_nested_tuple"], [731, 4, 1, "", "from_prufer_sequence"], [732, 4, 1, "", "to_nested_tuple"], [733, 4, 1, "", "to_prufer_sequence"]], "networkx.algorithms.tree.decomposition": [[734, 4, 1, "", "junction_tree"]], "networkx.algorithms.tree.mst": [[735, 0, 1, "", "SpanningTreeIterator"], [736, 4, 1, "", "maximum_spanning_edges"], [737, 4, 1, "", "maximum_spanning_tree"], [738, 4, 1, "", "minimum_spanning_edges"], [739, 4, 1, "", "minimum_spanning_tree"], [740, 4, 1, "", "random_spanning_tree"]], "networkx.algorithms.tree.mst.SpanningTreeIterator": [[735, 1, 1, "", "__init__"]], "networkx.algorithms.tree.operations": [[741, 4, 1, "", "join"]], "networkx.algorithms.tree.recognition": [[742, 4, 1, "", "is_arborescence"], [743, 4, 1, "", "is_branching"], [744, 4, 1, "", "is_forest"], [745, 4, 1, "", "is_tree"]], "networkx.algorithms.triads": [[746, 4, 1, "", "all_triads"], [747, 4, 1, "", "all_triplets"], [748, 4, 1, "", "is_triad"], [749, 4, 1, "", "random_triad"], [750, 4, 1, "", "triad_type"], [751, 4, 1, "", "triadic_census"], [752, 4, 1, "", "triads_by_type"]], "networkx.algorithms.vitality": [[753, 4, 1, "", "closeness_vitality"]], "networkx.algorithms.voronoi": [[754, 4, 1, "", "voronoi_cells"]], "networkx.algorithms.wiener": [[755, 4, 1, "", "wiener_index"]], "networkx.classes": [[1041, 3, 0, "-", "backends"], [1041, 3, 0, "-", "coreviews"], [1041, 3, 0, "-", "filters"], [1047, 3, 0, "-", "function"], [1041, 3, 0, "-", "graphviews"]], "networkx.classes.backends": [[1014, 4, 1, "", "_dispatch"]], "networkx.classes.coreviews": [[1015, 0, 1, "", "AdjacencyView"], [1016, 0, 1, "", "AtlasView"], [1017, 0, 1, "", "FilterAdjacency"], [1018, 0, 1, "", "FilterAtlas"], [1019, 0, 1, "", "FilterMultiAdjacency"], [1020, 0, 1, "", "FilterMultiInner"], [1021, 0, 1, "", "MultiAdjacencyView"], [1022, 0, 1, "", "UnionAdjacency"], [1023, 0, 1, "", "UnionAtlas"], [1024, 0, 1, "", "UnionMultiAdjacency"], [1025, 0, 1, "", "UnionMultiInner"]], "networkx.classes.coreviews.AdjacencyView": [[1015, 1, 1, "", "__init__"], [799, 1, 1, "", "copy"], [800, 1, 1, "", "get"], [801, 1, 1, "", "items"], [802, 1, 1, "", "keys"], [803, 1, 1, "", "values"]], "networkx.classes.coreviews.AtlasView": [[1016, 1, 1, "", "__init__"], [804, 1, 1, "", "copy"], [805, 1, 1, "", "get"], [806, 1, 1, "", "items"], [807, 1, 1, "", "keys"], [808, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterAdjacency": [[1017, 1, 1, "", "__init__"], [809, 1, 1, "", "get"], [810, 1, 1, "", "items"], [811, 1, 1, "", "keys"], [812, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterAtlas": [[1018, 1, 1, "", "__init__"], [813, 1, 1, "", "get"], [814, 1, 1, "", "items"], [815, 1, 1, "", "keys"], [816, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterMultiAdjacency": [[1019, 1, 1, "", "__init__"], [817, 1, 1, "", "get"], [818, 1, 1, "", "items"], [819, 1, 1, "", "keys"], [820, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterMultiInner": [[1020, 1, 1, "", "__init__"], [821, 1, 1, "", "get"], [822, 1, 1, "", "items"], [823, 1, 1, "", "keys"], [824, 1, 1, "", "values"]], "networkx.classes.coreviews.MultiAdjacencyView": [[1021, 1, 1, "", "__init__"], [825, 1, 1, "", "copy"], [826, 1, 1, "", "get"], [827, 1, 1, "", "items"], [828, 1, 1, "", "keys"], [829, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionAdjacency": [[1022, 1, 1, "", "__init__"], [830, 1, 1, "", "copy"], [831, 1, 1, "", "get"], [832, 1, 1, "", "items"], [833, 1, 1, "", "keys"], [834, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionAtlas": [[1023, 1, 1, "", "__init__"], [835, 1, 1, "", "copy"], [836, 1, 1, "", "get"], [837, 1, 1, "", "items"], [838, 1, 1, "", "keys"], [839, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionMultiAdjacency": [[1024, 1, 1, "", "__init__"], [840, 1, 1, "", "copy"], [841, 1, 1, "", "get"], [842, 1, 1, "", "items"], [843, 1, 1, "", "keys"], [844, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionMultiInner": [[1025, 1, 1, "", "__init__"], [845, 1, 1, "", "copy"], [846, 1, 1, "", "get"], [847, 1, 1, "", "items"], [848, 1, 1, "", "keys"], [849, 1, 1, "", "values"]], "networkx.classes.filters": [[1026, 4, 1, "", "hide_diedges"], [1027, 4, 1, "", "hide_edges"], [1028, 4, 1, "", "hide_multidiedges"], [1029, 4, 1, "", "hide_multiedges"], [1030, 4, 1, "", "hide_nodes"], [1031, 4, 1, "", "no_filter"], [1032, 4, 1, "", "show_diedges"], [1033, 4, 1, "", "show_edges"], [1034, 4, 1, "", "show_multidiedges"], [1035, 4, 1, "", "show_multiedges"], [1036, 0, 1, "", "show_nodes"]], "networkx.classes.filters.show_nodes": [[1036, 1, 1, "", "__init__"]], "networkx.classes.function": [[1055, 4, 1, "", "add_cycle"], [1056, 4, 1, "", "add_path"], [1057, 4, 1, "", "add_star"], [1058, 4, 1, "", "all_neighbors"], [1059, 4, 1, "", "common_neighbors"], [1060, 4, 1, "", "create_empty_copy"], [1061, 4, 1, "", "degree"], [1062, 4, 1, "", "degree_histogram"], [1063, 4, 1, "", "density"], [1064, 4, 1, "", "edge_subgraph"], [1065, 4, 1, "", "edges"], [1066, 4, 1, "", "freeze"], [1067, 4, 1, "", "get_edge_attributes"], [1068, 4, 1, "", "get_node_attributes"], [1069, 4, 1, "", "induced_subgraph"], [1070, 4, 1, "", "is_directed"], [1071, 4, 1, "", "is_empty"], [1072, 4, 1, "", "is_frozen"], [1073, 4, 1, "", "is_negatively_weighted"], [1074, 4, 1, "", "is_path"], [1075, 4, 1, "", "is_weighted"], [1076, 4, 1, "", "neighbors"], [1077, 4, 1, "", "nodes"], [1078, 4, 1, "", "nodes_with_selfloops"], [1079, 4, 1, "", "non_edges"], [1080, 4, 1, "", "non_neighbors"], [1081, 4, 1, "", "number_of_edges"], [1082, 4, 1, "", "number_of_nodes"], [1083, 4, 1, "", "number_of_selfloops"], [1084, 4, 1, "", "path_weight"], [1085, 4, 1, "", "restricted_view"], [1086, 4, 1, "", "reverse_view"], [1087, 4, 1, "", "selfloop_edges"], [1088, 4, 1, "", "set_edge_attributes"], [1089, 4, 1, "", "set_node_attributes"], [1090, 4, 1, "", "subgraph"], [1091, 4, 1, "", "subgraph_view"], [1092, 4, 1, "", "to_directed"], [1093, 4, 1, "", "to_undirected"]], "networkx.classes.graphviews": [[1037, 4, 1, "", "generic_graph_view"], [1038, 4, 1, "", "reverse_view"], [1039, 4, 1, "", "subgraph_view"]], "networkx.convert": [[1094, 4, 1, "", "from_dict_of_dicts"], [1095, 4, 1, "", "from_dict_of_lists"], [1096, 4, 1, "", "from_edgelist"], [1097, 4, 1, "", "to_dict_of_dicts"], [1098, 4, 1, "", "to_dict_of_lists"], [1099, 4, 1, "", "to_edgelist"], [1100, 4, 1, "", "to_networkx_graph"]], "networkx.convert_matrix": [[1101, 4, 1, "", "from_numpy_array"], [1102, 4, 1, "", "from_pandas_adjacency"], [1103, 4, 1, "", "from_pandas_edgelist"], [1104, 4, 1, "", "from_scipy_sparse_array"], [1105, 4, 1, "", "to_numpy_array"], [1106, 4, 1, "", "to_pandas_adjacency"], [1107, 4, 1, "", "to_pandas_edgelist"], [1108, 4, 1, "", "to_scipy_sparse_array"]], "networkx.drawing": [[1045, 3, 0, "-", "layout"], [1045, 3, 0, "-", "nx_agraph"], [1045, 3, 0, "-", "nx_latex"], [1045, 3, 0, "-", "nx_pydot"], [1045, 3, 0, "-", "nx_pylab"]], "networkx.drawing.layout": [[1109, 4, 1, "", "bipartite_layout"], [1110, 4, 1, "", "circular_layout"], [1111, 4, 1, "", "kamada_kawai_layout"], [1112, 4, 1, "", "multipartite_layout"], [1113, 4, 1, "", "planar_layout"], [1114, 4, 1, "", "random_layout"], [1115, 4, 1, "", "rescale_layout"], [1116, 4, 1, "", "rescale_layout_dict"], [1117, 4, 1, "", "shell_layout"], [1118, 4, 1, "", "spectral_layout"], [1119, 4, 1, "", "spiral_layout"], [1120, 4, 1, "", "spring_layout"]], "networkx.drawing.nx_agraph": [[1121, 4, 1, "", "from_agraph"], [1122, 4, 1, "", "graphviz_layout"], [1123, 4, 1, "", "pygraphviz_layout"], [1124, 4, 1, "", "read_dot"], [1125, 4, 1, "", "to_agraph"], [1126, 4, 1, "", "write_dot"]], "networkx.drawing.nx_latex": [[1127, 4, 1, "", "to_latex"], [1128, 4, 1, "", "to_latex_raw"], [1129, 4, 1, "", "write_latex"]], "networkx.drawing.nx_pydot": [[1130, 4, 1, "", "from_pydot"], [1131, 4, 1, "", "graphviz_layout"], [1132, 4, 1, "", "pydot_layout"], [1133, 4, 1, "", "read_dot"], [1134, 4, 1, "", "to_pydot"], [1135, 4, 1, "", "write_dot"]], "networkx.drawing.nx_pylab": [[1136, 4, 1, "", "draw"], [1137, 4, 1, "", "draw_circular"], [1138, 4, 1, "", "draw_kamada_kawai"], [1139, 4, 1, "", "draw_networkx"], [1140, 4, 1, "", "draw_networkx_edge_labels"], [1141, 4, 1, "", "draw_networkx_edges"], [1142, 4, 1, "", "draw_networkx_labels"], [1143, 4, 1, "", "draw_networkx_nodes"], [1144, 4, 1, "", "draw_planar"], [1145, 4, 1, "", "draw_random"], [1146, 4, 1, "", "draw_shell"], [1147, 4, 1, "", "draw_spectral"], [1148, 4, 1, "", "draw_spring"]], "networkx.generators": [[1329, 3, 0, "-", "atlas"], [1329, 3, 0, "-", "classic"], [1329, 3, 0, "-", "cographs"], [1329, 3, 0, "-", "community"], [1329, 3, 0, "-", "degree_seq"], [1329, 3, 0, "-", "directed"], [1329, 3, 0, "-", "duplication"], [1329, 3, 0, "-", "ego"], [1329, 3, 0, "-", "expanders"], [1329, 3, 0, "-", "geometric"], [1329, 3, 0, "-", "harary_graph"], [1329, 3, 0, "-", "internet_as_graphs"], [1329, 3, 0, "-", "intersection"], [1329, 3, 0, "-", "interval_graph"], [1329, 3, 0, "-", "joint_degree_seq"], [1329, 3, 0, "-", "lattice"], [1329, 3, 0, "-", "line"], [1329, 3, 0, "-", "mycielski"], [1329, 3, 0, "-", "nonisomorphic_trees"], [1329, 3, 0, "-", "random_clustered"], [1329, 3, 0, "-", "random_graphs"], [1329, 3, 0, "-", "small"], [1329, 3, 0, "-", "social"], [1329, 3, 0, "-", "spectral_graph_forge"], [1329, 3, 0, "-", "stochastic"], [1329, 3, 0, "-", "sudoku"], [1329, 3, 0, "-", "trees"], [1329, 3, 0, "-", "triads"]], "networkx.generators.atlas": [[1149, 4, 1, "", "graph_atlas"], [1150, 4, 1, "", "graph_atlas_g"]], "networkx.generators.classic": [[1151, 4, 1, "", "balanced_tree"], [1152, 4, 1, "", "barbell_graph"], [1153, 4, 1, "", "binomial_tree"], [1154, 4, 1, "", "circulant_graph"], [1155, 4, 1, "", "circular_ladder_graph"], [1156, 4, 1, "", "complete_graph"], [1157, 4, 1, "", "complete_multipartite_graph"], [1158, 4, 1, "", "cycle_graph"], [1159, 4, 1, "", "dorogovtsev_goltsev_mendes_graph"], [1160, 4, 1, "", "empty_graph"], [1161, 4, 1, "", "full_rary_tree"], [1162, 4, 1, "", "ladder_graph"], [1163, 4, 1, "", "lollipop_graph"], [1164, 4, 1, "", "null_graph"], [1165, 4, 1, "", "path_graph"], [1166, 4, 1, "", "star_graph"], [1167, 4, 1, "", "trivial_graph"], [1168, 4, 1, "", "turan_graph"], [1169, 4, 1, "", "wheel_graph"]], "networkx.generators.cographs": [[1170, 4, 1, "", "random_cograph"]], "networkx.generators.community": [[1171, 4, 1, "", "LFR_benchmark_graph"], [1172, 4, 1, "", "caveman_graph"], [1173, 4, 1, "", "connected_caveman_graph"], [1174, 4, 1, "", "gaussian_random_partition_graph"], [1175, 4, 1, "", "planted_partition_graph"], [1176, 4, 1, "", "random_partition_graph"], [1177, 4, 1, "", "relaxed_caveman_graph"], [1178, 4, 1, "", "ring_of_cliques"], [1179, 4, 1, "", "stochastic_block_model"], [1180, 4, 1, "", "windmill_graph"]], "networkx.generators.degree_seq": [[1181, 4, 1, "", "configuration_model"], [1182, 4, 1, "", "degree_sequence_tree"], [1183, 4, 1, "", "directed_configuration_model"], [1184, 4, 1, "", "directed_havel_hakimi_graph"], [1185, 4, 1, "", "expected_degree_graph"], [1186, 4, 1, "", "havel_hakimi_graph"], [1187, 4, 1, "", "random_degree_sequence_graph"]], "networkx.generators.directed": [[1188, 4, 1, "", "gn_graph"], [1189, 4, 1, "", "gnc_graph"], [1190, 4, 1, "", "gnr_graph"], [1191, 4, 1, "", "random_k_out_graph"], [1192, 4, 1, "", "scale_free_graph"]], "networkx.generators.duplication": [[1193, 4, 1, "", "duplication_divergence_graph"], [1194, 4, 1, "", "partial_duplication_graph"]], "networkx.generators.ego": [[1195, 4, 1, "", "ego_graph"]], "networkx.generators.expanders": [[1196, 4, 1, "", "chordal_cycle_graph"], [1197, 4, 1, "", "margulis_gabber_galil_graph"], [1198, 4, 1, "", "paley_graph"]], "networkx.generators.geometric": [[1199, 4, 1, "", "geographical_threshold_graph"], [1200, 4, 1, "", "geometric_edges"], [1201, 4, 1, "", "navigable_small_world_graph"], [1202, 4, 1, "", "random_geometric_graph"], [1203, 4, 1, "", "soft_random_geometric_graph"], [1204, 4, 1, "", "thresholded_random_geometric_graph"], [1205, 4, 1, "", "waxman_graph"]], "networkx.generators.harary_graph": [[1206, 4, 1, "", "hkn_harary_graph"], [1207, 4, 1, "", "hnm_harary_graph"]], "networkx.generators.internet_as_graphs": [[1208, 4, 1, "", "random_internet_as_graph"]], "networkx.generators.intersection": [[1209, 4, 1, "", "general_random_intersection_graph"], [1210, 4, 1, "", "k_random_intersection_graph"], [1211, 4, 1, "", "uniform_random_intersection_graph"]], "networkx.generators.interval_graph": [[1212, 4, 1, "", "interval_graph"]], "networkx.generators.joint_degree_seq": [[1213, 4, 1, "", "directed_joint_degree_graph"], [1214, 4, 1, "", "is_valid_directed_joint_degree"], [1215, 4, 1, "", "is_valid_joint_degree"], [1216, 4, 1, "", "joint_degree_graph"]], "networkx.generators.lattice": [[1217, 4, 1, "", "grid_2d_graph"], [1218, 4, 1, "", "grid_graph"], [1219, 4, 1, "", "hexagonal_lattice_graph"], [1220, 4, 1, "", "hypercube_graph"], [1221, 4, 1, "", "triangular_lattice_graph"]], "networkx.generators.line": [[1222, 4, 1, "", "inverse_line_graph"], [1223, 4, 1, "", "line_graph"]], "networkx.generators.mycielski": [[1224, 4, 1, "", "mycielski_graph"], [1225, 4, 1, "", "mycielskian"]], "networkx.generators.nonisomorphic_trees": [[1226, 4, 1, "", "nonisomorphic_trees"], [1227, 4, 1, "", "number_of_nonisomorphic_trees"]], "networkx.generators.random_clustered": [[1228, 4, 1, "", "random_clustered_graph"]], "networkx.generators.random_graphs": [[1229, 4, 1, "", "barabasi_albert_graph"], [1230, 4, 1, "", "binomial_graph"], [1231, 4, 1, "", "connected_watts_strogatz_graph"], [1232, 4, 1, "", "dense_gnm_random_graph"], [1233, 4, 1, "", "dual_barabasi_albert_graph"], [1234, 4, 1, "", "erdos_renyi_graph"], [1235, 4, 1, "", "extended_barabasi_albert_graph"], [1236, 4, 1, "", "fast_gnp_random_graph"], [1237, 4, 1, "", "gnm_random_graph"], [1238, 4, 1, "", "gnp_random_graph"], [1239, 4, 1, "", "newman_watts_strogatz_graph"], [1240, 4, 1, "", "powerlaw_cluster_graph"], [1241, 4, 1, "", "random_kernel_graph"], [1242, 4, 1, "", "random_lobster"], [1243, 4, 1, "", "random_powerlaw_tree"], [1244, 4, 1, "", "random_powerlaw_tree_sequence"], [1245, 4, 1, "", "random_regular_graph"], [1246, 4, 1, "", "random_shell_graph"], [1247, 4, 1, "", "watts_strogatz_graph"]], "networkx.generators.small": [[1248, 4, 1, "", "LCF_graph"], [1249, 4, 1, "", "bull_graph"], [1250, 4, 1, "", "chvatal_graph"], [1251, 4, 1, "", "cubical_graph"], [1252, 4, 1, "", "desargues_graph"], [1253, 4, 1, "", "diamond_graph"], [1254, 4, 1, "", "dodecahedral_graph"], [1255, 4, 1, "", "frucht_graph"], [1256, 4, 1, "", "heawood_graph"], [1257, 4, 1, "", "hoffman_singleton_graph"], [1258, 4, 1, "", "house_graph"], [1259, 4, 1, "", "house_x_graph"], [1260, 4, 1, "", "icosahedral_graph"], [1261, 4, 1, "", "krackhardt_kite_graph"], [1262, 4, 1, "", "moebius_kantor_graph"], [1263, 4, 1, "", "octahedral_graph"], [1264, 4, 1, "", "pappus_graph"], [1265, 4, 1, "", "petersen_graph"], [1266, 4, 1, "", "sedgewick_maze_graph"], [1267, 4, 1, "", "tetrahedral_graph"], [1268, 4, 1, "", "truncated_cube_graph"], [1269, 4, 1, "", "truncated_tetrahedron_graph"], [1270, 4, 1, "", "tutte_graph"]], "networkx.generators.social": [[1271, 4, 1, "", "davis_southern_women_graph"], [1272, 4, 1, "", "florentine_families_graph"], [1273, 4, 1, "", "karate_club_graph"], [1274, 4, 1, "", "les_miserables_graph"]], "networkx.generators.spectral_graph_forge": [[1275, 4, 1, "", "spectral_graph_forge"]], "networkx.generators.stochastic": [[1276, 4, 1, "", "stochastic_graph"]], "networkx.generators.sudoku": [[1277, 4, 1, "", "sudoku_graph"]], "networkx.generators.trees": [[1278, 4, 1, "", "prefix_tree"], [1279, 4, 1, "", "random_tree"]], "networkx.generators.triads": [[1280, 4, 1, "", "triad_graph"]], "networkx.linalg": [[1333, 3, 0, "-", "algebraicconnectivity"], [1333, 3, 0, "-", "attrmatrix"], [1333, 3, 0, "-", "bethehessianmatrix"], [1333, 3, 0, "-", "graphmatrix"], [1333, 3, 0, "-", "laplacianmatrix"], [1333, 3, 0, "-", "modularitymatrix"], [1333, 3, 0, "-", "spectrum"]], "networkx.linalg.algebraicconnectivity": [[1281, 4, 1, "", "algebraic_connectivity"], [1282, 4, 1, "", "fiedler_vector"], [1283, 4, 1, "", "spectral_ordering"]], "networkx.linalg.attrmatrix": [[1284, 4, 1, "", "attr_matrix"], [1285, 4, 1, "", "attr_sparse_matrix"]], "networkx.linalg.bethehessianmatrix": [[1286, 4, 1, "", "bethe_hessian_matrix"]], "networkx.linalg.graphmatrix": [[1287, 4, 1, "", "adjacency_matrix"], [1288, 4, 1, "", "incidence_matrix"]], "networkx.linalg.laplacianmatrix": [[1289, 4, 1, "", "directed_combinatorial_laplacian_matrix"], [1290, 4, 1, "", "directed_laplacian_matrix"], [1291, 4, 1, "", "laplacian_matrix"], [1292, 4, 1, "", "normalized_laplacian_matrix"]], "networkx.linalg.modularitymatrix": [[1293, 4, 1, "", "directed_modularity_matrix"], [1294, 4, 1, "", "modularity_matrix"]], "networkx.linalg.spectrum": [[1295, 4, 1, "", "adjacency_spectrum"], [1296, 4, 1, "", "bethe_hessian_spectrum"], [1297, 4, 1, "", "laplacian_spectrum"], [1298, 4, 1, "", "modularity_spectrum"], [1299, 4, 1, "", "normalized_laplacian_spectrum"]], "networkx.readwrite": [[1335, 3, 0, "-", "adjlist"], [1336, 3, 0, "-", "edgelist"], [1389, 3, 0, "-", "gexf"], [1390, 3, 0, "-", "gml"], [1398, 3, 0, "-", "graph6"], [1391, 3, 0, "-", "graphml"], [1393, 3, 0, "-", "json_graph"], [1394, 3, 0, "-", "leda"], [1396, 3, 0, "-", "multiline_adjlist"], [1397, 3, 0, "-", "pajek"], [1398, 3, 0, "-", "sparse6"], [1399, 3, 0, "-", "text"]], "networkx.readwrite.adjlist": [[1337, 4, 1, "", "generate_adjlist"], [1338, 4, 1, "", "parse_adjlist"], [1339, 4, 1, "", "read_adjlist"], [1340, 4, 1, "", "write_adjlist"]], "networkx.readwrite.edgelist": [[1341, 4, 1, "", "generate_edgelist"], [1342, 4, 1, "", "parse_edgelist"], [1343, 4, 1, "", "read_edgelist"], [1344, 4, 1, "", "read_weighted_edgelist"], [1345, 4, 1, "", "write_edgelist"], [1346, 4, 1, "", "write_weighted_edgelist"]], "networkx.readwrite.gexf": [[1347, 4, 1, "", "generate_gexf"], [1348, 4, 1, "", "read_gexf"], [1349, 4, 1, "", "relabel_gexf_graph"], [1350, 4, 1, "", "write_gexf"]], "networkx.readwrite.gml": [[1351, 4, 1, "", "generate_gml"], [1352, 4, 1, "", "literal_destringizer"], [1353, 4, 1, "", "literal_stringizer"], [1354, 4, 1, "", "parse_gml"], [1355, 4, 1, "", "read_gml"], [1356, 4, 1, "", "write_gml"]], "networkx.readwrite.graph6": [[1357, 4, 1, "", "from_graph6_bytes"], [1358, 4, 1, "", "read_graph6"], [1359, 4, 1, "", "to_graph6_bytes"], [1360, 4, 1, "", "write_graph6"]], "networkx.readwrite.graphml": [[1361, 4, 1, "", "generate_graphml"], [1362, 4, 1, "", "parse_graphml"], [1363, 4, 1, "", "read_graphml"], [1364, 4, 1, "", "write_graphml"]], "networkx.readwrite.json_graph": [[1365, 4, 1, "", "adjacency_data"], [1366, 4, 1, "", "adjacency_graph"], [1367, 4, 1, "", "cytoscape_data"], [1368, 4, 1, "", "cytoscape_graph"], [1369, 4, 1, "", "node_link_data"], [1370, 4, 1, "", "node_link_graph"], [1371, 4, 1, "", "tree_data"], [1372, 4, 1, "", "tree_graph"]], "networkx.readwrite.leda": [[1373, 4, 1, "", "parse_leda"], [1374, 4, 1, "", "read_leda"]], "networkx.readwrite.multiline_adjlist": [[1375, 4, 1, "", "generate_multiline_adjlist"], [1376, 4, 1, "", "parse_multiline_adjlist"], [1377, 4, 1, "", "read_multiline_adjlist"], [1378, 4, 1, "", "write_multiline_adjlist"]], "networkx.readwrite.pajek": [[1379, 4, 1, "", "generate_pajek"], [1380, 4, 1, "", "parse_pajek"], [1381, 4, 1, "", "read_pajek"], [1382, 4, 1, "", "write_pajek"]], "networkx.readwrite.sparse6": [[1383, 4, 1, "", "from_sparse6_bytes"], [1384, 4, 1, "", "read_sparse6"], [1385, 4, 1, "", "to_sparse6_bytes"], [1386, 4, 1, "", "write_sparse6"]], "networkx.readwrite.text": [[1387, 4, 1, "", "generate_network_text"], [1388, 4, 1, "", "write_network_text"]], "networkx.relabel": [[1300, 4, 1, "", "convert_node_labels_to_integers"], [1301, 4, 1, "", "relabel_nodes"]], "networkx.utils": [[1401, 3, 0, "-", "decorators"], [1401, 3, 0, "-", "mapped_queue"], [1401, 3, 0, "-", "misc"], [1401, 3, 0, "-", "random_sequence"], [1401, 3, 0, "-", "rcm"], [1401, 3, 0, "-", "union_find"]], "networkx.utils.decorators": [[1302, 0, 1, "", "argmap"], [1303, 4, 1, "", "nodes_or_number"], [1304, 4, 1, "", "not_implemented_for"], [1305, 4, 1, "", "np_random_state"], [1306, 4, 1, "", "open_file"], [1307, 4, 1, "", "py_random_state"]], "networkx.utils.decorators.argmap": [[1302, 1, 1, "", "__init__"], [1048, 1, 1, "", "assemble"], [1049, 1, 1, "", "compile"], [1050, 1, 1, "", "signature"]], "networkx.utils.mapped_queue": [[1308, 0, 1, "", "MappedQueue"]], "networkx.utils.mapped_queue.MappedQueue": [[1308, 1, 1, "", "__init__"], [1051, 1, 1, "", "pop"], [1052, 1, 1, "", "push"], [1053, 1, 1, "", "remove"], [1054, 1, 1, "", "update"]], "networkx.utils.misc": [[1309, 4, 1, "", "arbitrary_element"], [1310, 4, 1, "", "create_py_random_state"], [1311, 4, 1, "", "create_random_state"], [1312, 4, 1, "", "dict_to_numpy_array"], [1313, 4, 1, "", "edges_equal"], [1314, 4, 1, "", "flatten"], [1315, 4, 1, "", "graphs_equal"], [1316, 4, 1, "", "groups"], [1317, 4, 1, "", "make_list_of_ints"], [1318, 4, 1, "", "nodes_equal"], [1319, 4, 1, "", "pairwise"]], "networkx.utils.random_sequence": [[1320, 4, 1, "", "cumulative_distribution"], [1321, 4, 1, "", "discrete_sequence"], [1322, 4, 1, "", "powerlaw_sequence"], [1323, 4, 1, "", "random_weighted_sample"], [1324, 4, 1, "", "weighted_choice"], [1325, 4, 1, "", "zipf_rv"]], "networkx.utils.rcm": [[1326, 4, 1, "", "cuthill_mckee_ordering"], [1327, 4, 1, "", "reverse_cuthill_mckee_ordering"]], "networkx.utils.union_find.UnionFind": [[1328, 1, 1, "", "union"]]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:property", "3": "py:module", "4": "py:function", "5": "py:exception"}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "property", "Python property"], "3": ["py", "module", "Python module"], "4": ["py", "function", "Python function"], "5": ["py", "exception", "Python exception"]}, "titleterms": {"3d": [0, 87], "draw": [0, 24, 74, 87, 775, 1045, 1136, 1332, 1436], "mayavi2": 1, "basic": [2, 19, 87, 116, 1041, 1332], "matplotlib": [2, 106, 1045], "comput": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91], "time": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91], "algorithm": [4, 87, 98, 106, 425, 547, 617, 721, 722, 735, 760, 762, 763, 764, 781, 1332, 1401, 1406, 1407, 1408, 1414], "beam": [5, 792], "search": [5, 792], "node": [5, 25, 27, 38, 128, 185, 772, 798, 875, 918, 957, 1001, 1040, 1042, 1043, 1047, 1077, 1332, 1400, 1403, 1415, 1436], "high": 5, "central": [5, 6, 12, 116, 119, 126], "between": [6, 14, 119], "blockmodel": 7, "circuit": 8, "creat": [8, 17, 1041, 1436], "an": [8, 17, 98, 112], "exampl": [8, 17, 53, 94, 98, 133, 762, 764, 1044, 1045, 1395, 1402, 1403, 1411, 1415], "boolean": 8, "davi": 9, "club": [9, 67, 780], "dedensif": 10, "iter": 11, "dynam": 11, "system": 11, "sum": 11, "cube": 11, "3n": 11, "The": [11, 101, 1045], "gener": [11, 104, 116, 1329, 1401, 1403, 1414, 1436], "problem": [11, 45, 113], "1": [11, 101, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1417, 1424, 1426, 1435, 1436], "krackhardt": 12, "maximum": [13, 141], "independ": [13, 770], "set": [13, 56, 113, 138, 257, 770], "parallel": [14, 1042, 1043], "revers": [15, 197, 615, 887, 969], "cuthil": [15, 1401], "mckee": [15, 1401], "snap": 16, "graph": [16, 17, 21, 22, 29, 31, 40, 47, 55, 56, 58, 59, 61, 72, 87, 90, 103, 134, 136, 756, 764, 777, 781, 790, 798, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 1040, 1041, 1042, 1043, 1044, 1045, 1047, 1329, 1332, 1333, 1392, 1403, 1407, 1408, 1436], "summari": 16, "subgraph": [17, 119, 200, 764, 798, 889, 927, 971, 1010, 1040, 1042, 1043, 1090, 1402, 1403], "direct": [17, 29, 134, 798, 1042, 1329, 1403, 1436], "plot": 17, "origin": 17, "calcul": [17, 106], "all": 17, "result": 17, "intemedi": 17, "step": 17, "everi": 17, "list": [17, 1044, 1335, 1336, 1396], "put": 17, "back": 17, "from": [17, 55, 56, 58, 59, 94, 1044, 1413, 1414, 1436], "check": 17, "reconstruct": 17, "ar": 17, "isomorph": [17, 106, 547, 762, 764, 1329, 1408], "properti": 20, "read": [21, 1392, 1436], "write": [21, 1392, 1413], "simpl": [22, 43, 783], "custom": [25, 27], "posit": 25, "chess": 26, "master": 26, "icon": 27, "degre": [28, 63, 65, 114, 119, 167, 253, 757, 865, 910, 946, 992, 1061, 1329], "analysi": [28, 765], "edg": [30, 128, 169, 792, 798, 867, 912, 948, 994, 1040, 1042, 1043, 1047, 1065, 1332, 1336, 1402, 1403, 1436], "colormap": [30, 38], "ego": [31, 1329], "eigenvalu": 32, "four": 33, "grid": [33, 77], "hous": 34, "With": 34, "color": [34, 36, 39, 124, 252], "knuth": 35, "mile": 35, "label": [36, 126], "And": [36, 101], "multipartit": 37, "layout": [37, 62, 80, 87, 1045], "rainbow": 39, "refer": [39, 94, 100, 133, 762, 763, 764, 769, 772, 1045, 1329, 1331], "random": [40, 104, 773, 1329, 1334, 1401, 1407, 1414], "geometr": [40, 1329, 1407], "sampson": 41, "self": [42, 798, 1040, 1042, 1043, 1047, 1402], "loop": [42, 798, 1040, 1042, 1043, 1047, 1402], "path": [43, 119, 128, 133, 141, 781, 783, 1047, 1406], "spectral": [44, 116, 1329], "embed": 44, "travel": [45, 113], "salesman": [45, 113], "unix": 46, "email": 46, "weight": [47, 1403, 1407, 1408], "extern": [49, 87], "librari": [49, 53, 87, 106], "javascript": 50, "igraph": 51, "networkx": [51, 98, 106, 425, 547, 617, 721, 722, 735, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1044, 1302, 1308, 1332, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "geospati": [53, 54, 87], "descript": [53, 102, 103, 104, 105], "python": [53, 106, 111, 1414], "kei": [53, 802, 807, 811, 815, 819, 823, 828, 833, 838, 843, 848], "concept": 53, "learn": 53, "more": 53, "delaunai": 55, "geograph": [55, 58], "point": [55, 58], "line": [56, 1329], "openstreetmap": 57, "osmnx": 57, "polygon": 59, "dag": 62, "topolog": 62, "sequenc": [63, 65, 757, 1329, 1401], "erdo": 64, "renyi": 64, "expect": 65, "footbal": 66, "karat": 67, "mors": 68, "trie": 68, "napoleon": 69, "russian": 69, "campaign": 69, "roget": 70, "triad": [71, 794, 1329], "word": 72, "ladder": 72, "graphviz": [74, 80, 87, 1045], "attribut": [75, 1047, 1333, 1403, 1414, 1436], "convers": 76, "2d": 77, "atla": [78, 81, 1329], "circular": 82, "tree": [82, 113, 126, 141, 721, 722, 735, 762, 793, 1329], "decomposit": [83, 793], "giant": 84, "compon": [84, 113, 127, 128], "lanl": 85, "rout": 85, "galleri": [87, 98], "subclass": [87, 88], "antigraph": 89, "print": 90, "about": 92, "u": 92, "core": [92, 95, 101, 109, 129, 1041], "develop": [92, 94, 95, 97, 101, 109, 112], "emeritu": [92, 109], "contributor": [92, 94, 98, 101, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "support": [92, 1414], "code": [93, 98, 1045, 1402, 1403, 1413, 1414], "conduct": [93, 95, 444], "introduct": [93, 762, 764, 1332], "specif": [93, 98], "guidelin": [93, 94], "divers": 93, "statement": 93, "report": [93, 798, 1040, 1042, 1043, 1332], "incid": 93, "resolut": [93, 100, 102], "enforc": 93, "endnot": 93, "guid": [94, 95, 1413, 1414, 1436], "workflow": [94, 100], "diverg": [94, 1329], "upstream": 94, "main": [94, 1411], "test": [94, 112, 793, 1041], "ad": [94, 798, 1040, 1042, 1043, 1402, 1403, 1415, 1436], "imag": 94, "comparison": 94, "bug": [94, 1402, 1407, 1410, 1415], "polici": [94, 96, 98], "review": [95, 100], "how": [95, 98, 100], "A": [95, 781], "good": 95, "merg": [95, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "onli": 95, "chang": [95, 1402, 1403, 1404, 1405, 1406, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435], "you": 95, "understand": 95, "close": [95, 119], "issu": [95, 98], "pull": 95, "request": 95, "further": 95, "resourc": 95, "deprec": [96, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435], "todo": 96, "version": [96, 112, 1402, 1403, 1413], "3": [96, 103, 1414, 1415, 1419, 1428, 1434, 1435, 1436], "0": [96, 100, 1402, 1403, 1413, 1414, 1415, 1416, 1434], "2": [96, 102, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1436], "new": [98, 1402, 1403, 1404, 1406, 1407, 1411, 1415], "faq": 98, "q": 98, "i": [98, 100, 1041], "m": 98, "open": 98, "sourc": [98, 112], "would": 98, "like": 98, "contribut": 98, "do": 98, "get": [98, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846], "start": 98, "ve": 98, "found": 98, "interest": 98, "can": 98, "have": 98, "assign": 98, "me": 98, "want": 98, "work": [98, 102, 103, 104, 105, 1413], "function": [98, 116, 1047, 1401, 1403, 1404, 1411], "find": 98, "what": [98, 100, 1436], "decid": 98, "whether": 98, "includ": 98, "nxep": [99, 100, 101, 102, 103, 104, 105, 1422], "purpos": 100, "process": [100, 101, 107], "type": [100, 1041], "becom": 100, "accept": 100, "mainten": 100, "format": [100, 116, 1044, 1335, 1336, 1389, 1391, 1394, 1396, 1397, 1436], "templat": [100, 105], "header": 100, "preambl": 100, "footnot": 100, "govern": 101, "decis": 101, "make": [101, 798, 1040, 1042, 1043], "abstract": [101, 102, 103, 104, 105], "role": 101, "respons": 101, "commun": [101, 126, 1329], "steer": 101, "council": 101, "enhanc": 101, "propos": 101, "acknowledg": [101, 110], "api": [102, 106, 1404, 1405, 1406, 1410, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435], "design": 102, "view": [102, 1041], "slice": 102, "motiv": [102, 103, 104, 105], "scope": [102, 103, 104, 105], "us": [102, 1041, 1413, 1436], "case": 102, "usag": [102, 103, 104, 105], "impact": [102, 103, 104, 105], "backward": [102, 103, 104, 105], "compat": [102, 103, 104, 105], "detail": [102, 103, 104, 105], "relat": [102, 103, 104, 105], "implement": [102, 103, 104, 105, 106, 1414], "altern": [102, 103, 104, 105], "discuss": [102, 103, 104, 105], "builder": 103, "4": [104, 1406, 1415, 1420, 1429, 1436], "adopt": 104, "numpi": [104, 1044, 1414], "default": [104, 1414], "interfac": [104, 762, 781], "x": [105, 1413, 1414], "instruct": 105, "mentor": 106, "project": [106, 116], "pedagog": 106, "interact": 106, "notebook": 106, "visual": [106, 108], "incorpor": 106, "ismag": [106, 145, 146, 147, 148, 149, 150, 151, 547, 763], "complet": 106, "releas": [107, 112, 1412, 1415], "roadmap": 108, "instal": [108, 112], "sustain": 108, "perform": 108, "document": [108, 1415], "linear": [108, 1333], "algebra": [108, 1333], "interoper": 108, "mission": 110, "valu": [110, 803, 808, 812, 816, 820, 824, 829, 834, 839, 844, 849], "our": 110, "softwar": 111, "complex": 111, "network": [111, 141, 1329, 1399], "cite": 111, "audienc": 111, "licens": 111, "bibliographi": 111, "extra": 112, "packag": [112, 1411], "distribut": 112, "approxim": 113, "heurist": 113, "connect": [113, 114, 127, 128, 425, 1333, 1411], "k": [113, 126, 128], "cliqu": [113, 122, 126], "cluster": [113, 116, 123, 262, 358, 1329], "distanc": [113, 135, 136], "measur": [113, 126, 135, 782], "domin": [113, 137, 138], "match": [113, 116, 532, 542, 764, 768], "ramsei": 113, "steiner": 113, "tsp": 113, "treewidth": 113, "vertex": 113, "cover": [113, 116, 130], "max": 113, "cut": [113, 128, 131], "assort": 114, "averag": 114, "neighbor": [114, 182, 798, 874, 917, 955, 999, 1040, 1042, 1043, 1076, 1436], "mix": 114, "pair": 114, "asteroid": 115, "bipartit": [116, 126], "edgelist": 116, "matrix": [116, 1333, 1395], "redund": 116, "boundari": 117, "bridg": [118, 294], "eigenvector": 119, "current": 119, "flow": [119, 128, 141, 1411], "shortest": [119, 141, 781, 1406], "communic": [119, 125, 373], "group": [119, 1316], "load": 119, "harmon": 119, "dispers": [119, 306], "reach": 119, "percol": 119, "second": 119, "order": [119, 188, 878, 921, 960, 1004, 1401], "trophic": 119, "voterank": [119, 339], "laplacian": [119, 1333], "chain": 120, "chordal": 121, "modular": [126, 387, 1333], "base": [126, 128, 1402, 1403], "partit": 126, "propag": 126, "louvain": 126, "detect": 126, "fluid": 126, "via": 126, "valid": 126, "strong": 127, "weak": 127, "attract": 127, "biconnect": 127, "semiconnected": 127, "augment": [128, 141], "see": [128, 764, 1044, 1045], "also": [128, 764, 1044, 1045], "cutset": 128, "disjoint": 128, "minimum": [128, 141], "stoer": 128, "wagner": 128, "util": [128, 141, 1302, 1308, 1401], "cycl": 132, "d": 133, "separ": 133, "block": 133, "illustr": 133, "its": 133, "applic": 133, "probabl": 133, "acycl": 134, "regular": [136, 779], "effici": [139, 487], "eulerian": 140, "edmond": [141, 209, 722], "karp": 141, "preflow": 141, "push": [141, 1052], "dinitz": [141, 500], "boykov": 141, "kolmogorov": 141, "gomori": 141, "hu": 141, "simplex": 141, "capac": 141, "scale": 141, "cost": 141, "edgecomponentauxgraph": [142, 143, 144, 425], "construct": [142, 1436], "k_edge_compon": [143, 427], "k_edge_subgraph": [144, 428], "analyze_symmetri": 145, "find_isomorph": 146, "is_isomorph": [147, 530, 540, 557], "isomorphisms_it": [148, 531, 541], "largest_common_subgraph": 149, "subgraph_is_isomorph": [150, 534, 544], "subgraph_isomorphisms_it": [151, 535, 545], "planarembed": [152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 617], "add_edg": [152, 855, 900, 936, 982, 1402, 1403], "add_edges_from": [153, 856, 901, 937, 983, 1402, 1403], "add_half_edge_ccw": 154, "add_half_edge_cw": 155, "add_half_edge_first": 156, "add_nod": [157, 857, 902, 938, 984, 1403], "add_nodes_from": [158, 858, 903, 939, 985, 1403], "add_weighted_edges_from": [159, 859, 904, 940, 986], "adj": [160, 860, 905, 941, 987], "adjac": [161, 861, 906, 942, 988, 1335, 1396, 1414], "check_structur": 162, "clear": [163, 862, 907, 943, 989], "clear_edg": [164, 863, 908, 944, 990], "connect_compon": 165, "copi": [166, 798, 799, 804, 825, 830, 835, 840, 845, 864, 909, 945, 991, 1040, 1042, 1043, 1402, 1403], "edge_subgraph": [168, 866, 911, 947, 993, 1064], "get_data": 170, "get_edge_data": [171, 868, 913, 949, 995, 1403], "has_edg": [172, 869, 914, 950, 996, 1402], "has_nod": [173, 870, 915, 951, 997], "has_predecessor": 174, "has_successor": 175, "in_degre": [176, 871, 952], "in_edg": [177, 872, 953, 1402], "is_direct": [178, 1070, 1402, 1403], "is_multigraph": [179, 517, 1403], "name": 180, "nbunch_it": [181, 873, 916, 954, 998], "neighbors_cw_ord": 183, "next_face_half_edg": 184, "number_of_edg": [186, 876, 919, 958, 1002, 1081], "number_of_nod": [187, 877, 920, 959, 1003, 1082], "out_degre": [189, 879, 961], "out_edg": [190, 880, 962, 1402], "pred": [191, 881, 963], "predecessor": [192, 642, 882, 964], "remove_edg": [193, 883, 922, 965, 1005], "remove_edges_from": [194, 884, 923, 966, 1006], "remove_nod": [195, 885, 924, 967, 1007], "remove_nodes_from": [196, 886, 925, 968, 1008], "set_data": 198, "size": [199, 888, 926, 970, 1009], "succ": [201, 890, 972], "successor": [202, 891, 973], "to_direct": [203, 892, 928, 974, 1011, 1092, 1403], "to_directed_class": 204, "to_undirect": [205, 893, 929, 975, 1012, 1093, 1403], "to_undirected_class": 206, "traverse_fac": 207, "updat": [208, 894, 930, 976, 1013, 1054], "find_optimum": 209, "clique_remov": 210, "large_clique_s": 211, "max_cliqu": 212, "maximum_independent_set": 213, "average_clust": [214, 261, 357], "all_pairs_node_connect": [215, 410], "local_node_connect": [216, 414], "node_connect": [217, 415], "diamet": [218, 474], "min_edge_dominating_set": 219, "min_weighted_dominating_set": 220, "k_compon": [221, 429], "min_maximal_match": 222, "one_exchang": 223, "randomized_partit": 224, "ramsey_r2": 225, "metric_closur": 226, "steiner_tre": 227, "asadpour_atsp": 228, "christofid": 229, "greedy_tsp": 230, "simulated_annealing_tsp": 231, "threshold_accepting_tsp": 232, "traveling_salesman_problem": 233, "treewidth_min_degre": 234, "treewidth_min_fill_in": 235, "min_weighted_vertex_cov": 236, "attribute_assortativity_coeffici": 237, "attribute_mixing_dict": 238, "attribute_mixing_matrix": 239, "average_degree_connect": 240, "average_neighbor_degre": 241, "degree_assortativity_coeffici": 242, "degree_mixing_dict": 243, "degree_mixing_matrix": 244, "degree_pearson_correlation_coeffici": 245, "mixing_dict": 246, "node_attribute_xi": 247, "node_degree_xi": 248, "numeric_assortativity_coeffici": 249, "find_asteroidal_tripl": 250, "is_at_fre": 251, "densiti": [254, 1063], "is_bipartit": 255, "is_bipartite_node_set": 256, "betweenness_centr": [258, 298], "closeness_centr": [259, 300], "degree_centr": [260, 305], "latapy_clust": 263, "robins_alexander_clust": 264, "min_edge_cov": [265, 442], "generate_edgelist": [266, 1341], "parse_edgelist": [267, 1342], "read_edgelist": [268, 1343], "write_edgelist": [269, 1345], "alternating_havel_hakimi_graph": 270, "complete_bipartite_graph": 271, "configuration_model": [272, 1181], "gnmk_random_graph": 273, "havel_hakimi_graph": [274, 1186], "preferential_attachment_graph": 275, "random_graph": 276, "reverse_havel_hakimi_graph": 277, "eppstein_match": 278, "hopcroft_karp_match": 279, "maximum_match": 280, "minimum_weight_full_match": 281, "to_vertex_cov": 282, "biadjacency_matrix": 283, "from_biadjacency_matrix": 284, "collaboration_weighted_projected_graph": 285, "generic_weighted_projected_graph": 286, "overlap_weighted_projected_graph": 287, "projected_graph": 288, "weighted_projected_graph": 289, "node_redund": 290, "spectral_bipart": 291, "edge_boundari": [292, 1402], "node_boundari": [293, 1402], "has_bridg": 295, "local_bridg": 296, "approximate_current_flow_betweenness_centr": 297, "betweenness_centrality_subset": 299, "communicability_betweenness_centr": 301, "current_flow_betweenness_centr": 302, "current_flow_betweenness_centrality_subset": 303, "current_flow_closeness_centr": 304, "edge_betweenness_centr": 307, "edge_betweenness_centrality_subset": 308, "edge_current_flow_betweenness_centr": 309, "edge_current_flow_betweenness_centrality_subset": 310, "edge_load_centr": 311, "eigenvector_centr": 312, "eigenvector_centrality_numpi": 313, "estrada_index": 314, "global_reaching_centr": 315, "group_betweenness_centr": 316, "group_closeness_centr": 317, "group_degree_centr": 318, "group_in_degree_centr": 319, "group_out_degree_centr": 320, "harmonic_centr": 321, "in_degree_centr": 322, "incremental_closeness_centr": 323, "information_centr": 324, "katz_centr": 325, "katz_centrality_numpi": 326, "laplacian_centr": 327, "load_centr": 328, "local_reaching_centr": 329, "out_degree_centr": 330, "percolation_centr": 331, "prominent_group": 332, "second_order_centr": 333, "subgraph_centr": 334, "subgraph_centrality_exp": 335, "trophic_differ": 336, "trophic_incoherence_paramet": 337, "trophic_level": 338, "chain_decomposit": 340, "chordal_graph_cliqu": 341, "chordal_graph_treewidth": 342, "complete_to_chordal_graph": 343, "find_induced_nod": 344, "is_chord": 345, "cliques_containing_nod": 346, "enumerate_all_cliqu": 347, "find_cliqu": 348, "find_cliques_recurs": 349, "graph_clique_numb": 350, "graph_number_of_cliqu": 351, "make_clique_bipartit": 352, "make_max_clique_graph": 353, "max_weight_cliqu": 354, "node_clique_numb": 355, "number_of_cliqu": 356, "generalized_degre": 359, "square_clust": 360, "transit": 361, "triangl": 362, "equitable_color": 363, "greedy_color": 364, "strategy_connected_sequenti": 365, "strategy_connected_sequential_bf": 366, "strategy_connected_sequential_df": 367, "strategy_independent_set": 368, "strategy_largest_first": 369, "strategy_random_sequenti": 370, "strategy_saturation_largest_first": 371, "strategy_smallest_last": 372, "communicability_exp": 374, "asyn_fluidc": 375, "girvan_newman": 376, "is_partit": 377, "k_clique_commun": 378, "kernighan_lin_bisect": 379, "asyn_lpa_commun": 380, "label_propagation_commun": 381, "louvain_commun": 382, "louvain_partit": 383, "lukes_partit": 384, "greedy_modularity_commun": 385, "naive_greedy_modularity_commun": 386, "partition_qu": 388, "articulation_point": 389, "attracting_compon": 390, "biconnected_component_edg": 391, "biconnected_compon": 392, "condens": 393, "connected_compon": 394, "is_attracting_compon": 395, "is_biconnect": 396, "is_connect": 397, "is_semiconnect": 398, "is_strongly_connect": [399, 701], "is_weakly_connect": 400, "kosaraju_strongly_connected_compon": 401, "node_connected_compon": 402, "number_attracting_compon": 403, "number_connected_compon": 404, "number_strongly_connected_compon": 405, "number_weakly_connected_compon": 406, "strongly_connected_compon": 407, "strongly_connected_components_recurs": 408, "weakly_connected_compon": 409, "average_node_connect": 411, "edge_connect": 412, "local_edge_connect": 413, "minimum_edge_cut": 416, "minimum_node_cut": 417, "minimum_st_edge_cut": 418, "minimum_st_node_cut": 419, "edge_disjoint_path": 420, "node_disjoint_path": 421, "is_k_edge_connect": 422, "is_locally_k_edge_connect": 423, "k_edge_augment": 424, "edge_kcompon": 425, "bridge_compon": 426, "all_node_cut": 430, "stoer_wagn": 431, "build_auxiliary_edge_connect": 432, "build_auxiliary_node_connect": 433, "core_numb": 434, "k_core": 435, "k_corona": 436, "k_crust": 437, "k_shell": 438, "k_truss": 439, "onion_lay": 440, "is_edge_cov": 441, "boundary_expans": 443, "cut_siz": 445, "edge_expans": 446, "mixing_expans": 447, "node_expans": 448, "normalized_cut_s": 449, "volum": 450, "cycle_basi": 451, "find_cycl": 452, "minimum_cycle_basi": 453, "recursive_simple_cycl": 454, "simple_cycl": 455, "d_separ": 456, "all_topological_sort": 457, "ancestor": [458, 767], "antichain": 459, "dag_longest_path": 460, "dag_longest_path_length": 461, "dag_to_branch": 462, "descend": 463, "is_aperiod": 464, "is_directed_acyclic_graph": 465, "lexicographical_topological_sort": 466, "topological_gener": 467, "topological_sort": 468, "transitive_closur": 469, "transitive_closure_dag": 470, "transitive_reduct": 471, "barycent": 472, "center": 473, "eccentr": 475, "peripheri": 476, "radiu": 477, "resistance_dist": 478, "global_paramet": 479, "intersection_arrai": 480, "is_distance_regular": 481, "is_strongly_regular": 482, "dominance_fronti": 483, "immediate_domin": 484, "dominating_set": 485, "is_dominating_set": 486, "global_effici": 488, "local_effici": 489, "eulerian_circuit": 490, "eulerian_path": 491, "euler": 492, "has_eulerian_path": 493, "is_eulerian": 494, "is_semieulerian": 495, "boykov_kolmogorov": 496, "build_residual_network": 497, "capacity_sc": 498, "cost_of_flow": 499, "edmonds_karp": 501, "gomory_hu_tre": 502, "max_flow_min_cost": 503, "maximum_flow": 504, "maximum_flow_valu": 505, "min_cost_flow": 506, "min_cost_flow_cost": 507, "minimum_cut": 508, "minimum_cut_valu": 509, "network_simplex": 510, "preflow_push": 511, "shortest_augmenting_path": 512, "weisfeiler_lehman_graph_hash": 513, "weisfeiler_lehman_subgraph_hash": 514, "is_digraph": 515, "is_graph": 516, "is_pseudograph": 518, "is_valid_degree_sequence_erdos_gallai": 519, "is_valid_degree_sequence_havel_hakimi": 520, "flow_hierarchi": 521, "is_kl_connect": 522, "kl_connected_subgraph": 523, "is_isol": 524, "isol": [525, 761], "number_of_isol": 526, "digraphmatch": [527, 528, 529, 530, 531, 532, 533, 534, 535, 536], "__init__": [527, 537, 852, 897, 933, 979], "candidate_pairs_it": [528, 538], "initi": [529, 539], "semantic_feas": [533, 543], "syntactic_feas": [536, 546], "graphmatch": [537, 538, 539, 540, 541, 542, 543, 544, 545, 546], "categorical_edge_match": 548, "categorical_multiedge_match": 549, "categorical_node_match": 550, "could_be_isomorph": 551, "fast_could_be_isomorph": 552, "faster_could_be_isomorph": 553, "generic_edge_match": 554, "generic_multiedge_match": 555, "generic_node_match": 556, "numerical_edge_match": 558, "numerical_multiedge_match": 559, "numerical_node_match": 560, "rooted_tree_isomorph": 561, "tree_isomorph": 562, "vf2pp_all_isomorph": 563, "vf2pp_is_isomorph": 564, "vf2pp_isomorph": 565, "hit": [566, 765], "google_matrix": 567, "pagerank": [568, 765], "adamic_adar_index": 569, "cn_soundarajan_hopcroft": 570, "common_neighbor_centr": 571, "jaccard_coeffici": 572, "preferential_attach": 573, "ra_index_soundarajan_hopcroft": 574, "resource_allocation_index": 575, "within_inter_clust": 576, "all_pairs_lowest_common_ancestor": 577, "lowest_common_ancestor": 578, "tree_all_pairs_lowest_common_ancestor": 579, "is_match": 580, "is_maximal_match": 581, "is_perfect_match": 582, "max_weight_match": 583, "maximal_match": 584, "min_weight_match": 585, "contracted_edg": 586, "contracted_nod": 587, "equivalence_class": 588, "identified_nod": 589, "quotient_graph": 590, "maximal_independent_set": 591, "moral_graph": 592, "harmonic_funct": 593, "local_and_global_consist": 594, "non_random": 595, "compose_al": 596, "disjoint_union_al": 597, "intersection_al": 598, "union_al": 599, "compos": 600, "differ": 601, "disjoint_union": 602, "full_join": 603, "intersect": [604, 1329], "symmetric_differ": 605, "union": [606, 1328], "cartesian_product": 607, "corona_product": 608, "lexicographic_product": 609, "power": 610, "rooted_product": 611, "strong_product": 612, "tensor_product": 613, "complement": 614, "combinatorial_embedding_to_po": 616, "planar": [617, 775, 776], "check_planar": 618, "is_planar": 619, "chromatic_polynomi": 620, "tutte_polynomi": 621, "overall_reciproc": 622, "reciproc": [623, 778], "is_k_regular": 624, "is_regular": 625, "k_factor": 626, "rich_club_coeffici": 627, "astar_path": [628, 1406], "astar_path_length": [629, 1406], "floyd_warshal": 630, "floyd_warshall_numpi": 631, "floyd_warshall_predecessor_and_dist": 632, "reconstruct_path": 633, "all_shortest_path": 634, "average_shortest_path_length": 635, "has_path": 636, "shortest_path": [637, 1406], "shortest_path_length": [638, 1406], "all_pairs_shortest_path": 639, "all_pairs_shortest_path_length": 640, "bidirectional_shortest_path": [641, 1406], "single_source_shortest_path": 643, "single_source_shortest_path_length": 644, "single_target_shortest_path": 645, "single_target_shortest_path_length": 646, "all_pairs_bellman_ford_path": 647, "all_pairs_bellman_ford_path_length": 648, "all_pairs_dijkstra": 649, "all_pairs_dijkstra_path": 650, "all_pairs_dijkstra_path_length": 651, "bellman_ford_path": 652, "bellman_ford_path_length": 653, "bellman_ford_predecessor_and_dist": 654, "bidirectional_dijkstra": [655, 1406], "dijkstra_path": [656, 1406], "dijkstra_path_length": [657, 1406], "dijkstra_predecessor_and_dist": 658, "find_negative_cycl": 659, "goldberg_radzik": 660, "johnson": 661, "multi_source_dijkstra": 662, "multi_source_dijkstra_path": 663, "multi_source_dijkstra_path_length": 664, "negative_edge_cycl": 665, "single_source_bellman_ford": 666, "single_source_bellman_ford_path": 667, "single_source_bellman_ford_path_length": 668, "single_source_dijkstra": 669, "single_source_dijkstra_path": 670, "single_source_dijkstra_path_length": 671, "generate_random_path": 672, "graph_edit_dist": 673, "optimal_edit_path": 674, "optimize_edit_path": 675, "optimize_graph_edit_dist": 676, "panther_similar": 677, "simrank_similar": 678, "all_simple_edge_path": 679, "all_simple_path": 680, "is_simple_path": 681, "shortest_simple_path": 682, "lattice_refer": 683, "omega": 684, "random_refer": 685, "sigma": 686, "s_metric": 687, "spanner": 688, "constraint": 689, "effective_s": 690, "local_constraint": 691, "dedensifi": 692, "snap_aggreg": 693, "connected_double_edge_swap": 694, "directed_edge_swap": 695, "double_edge_swap": 696, "find_threshold_graph": 697, "is_threshold_graph": 698, "hamiltonian_path": 699, "is_reach": 700, "is_tourna": 702, "random_tourna": 703, "score_sequ": 704, "bfs_beam_edg": 705, "bfs_edg": 706, "bfs_layer": 707, "bfs_predecessor": 708, "bfs_successor": 709, "bfs_tree": 710, "descendants_at_dist": 711, "dfs_edg": 712, "dfs_labeled_edg": 713, "dfs_postorder_nod": 714, "dfs_predecessor": 715, "dfs_preorder_nod": 716, "dfs_successor": 717, "dfs_tree": 718, "edge_bf": 719, "edge_df": 720, "branch": [721, 722, 793], "arborescenceiter": 721, "branching_weight": 723, "greedy_branch": 724, "maximum_branch": 725, "maximum_spanning_arboresc": 726, "minimum_branch": 727, "minimum_spanning_arboresc": 728, "notatre": 729, "from_nested_tupl": 730, "from_prufer_sequ": 731, "to_nested_tupl": 732, "to_prufer_sequ": 733, "junction_tre": 734, "mst": 735, "spanningtreeiter": 735, "maximum_spanning_edg": 736, "maximum_spanning_tre": 737, "minimum_spanning_edg": 738, "minimum_spanning_tre": 739, "random_spanning_tre": 740, "join": 741, "is_arboresc": 742, "is_branch": 743, "is_forest": 744, "is_tre": 745, "all_triad": 746, "all_triplet": 747, "is_triad": 748, "random_triad": 749, "triad_typ": 750, "triadic_censu": 751, "triads_by_typ": 752, "closeness_vit": 753, "voronoi_cel": 754, "wiener_index": 755, "hash": 756, "graphic": 757, "hierarchi": 758, "hybrid": 759, "vf2": [762, 764], "advanc": [762, 781], "note": [763, 764, 1045, 1415], "object": 763, "matcher": 764, "digraph": [764, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 1403], "helper": [764, 1401], "link": [765, 766], "predict": 766, "lowest": 767, "common": [767, 1436], "minor": 769, "maxim": 770, "moral": 771, "classif": 772, "non": [773, 1329], "oper": [774, 793, 1436], "polynomi": 777, "rich": 780, "dens": 781, "similar": 782, "small": [784, 1329, 1436], "world": 784, "": 785, "metric": 785, "sparsifi": 786, "structur": [787, 1047, 1332, 1401, 1414], "hole": 787, "summar": 788, "swap": 789, "threshold": 790, "tournament": 791, "travers": 792, "depth": 792, "first": 792, "breadth": 792, "recognit": 793, "span": 793, "arboresc": 793, "encod": 793, "decod": 793, "except": [793, 1046], "vital": 795, "voronoi": 796, "cell": 796, "wiener": 797, "index": 797, "overview": [798, 1040, 1042, 1043], "method": [798, 1040, 1042, 1043, 1402, 1403], "remov": [798, 1040, 1042, 1043, 1053, 1402, 1403, 1404, 1436], "count": [798, 1040, 1042, 1043], "adjacencyview": [799, 800, 801, 802, 803, 1015], "item": [801, 806, 810, 814, 818, 822, 827, 832, 837, 842, 847], "atlasview": [804, 805, 806, 807, 808, 1016], "filteradjac": [809, 810, 811, 812, 1017], "filteratla": [813, 814, 815, 816, 1018], "filtermultiadjac": [817, 818, 819, 820, 1019], "filtermultiinn": [821, 822, 823, 824, 1020], "multiadjacencyview": [825, 826, 827, 828, 829, 1021], "unionadjac": [830, 831, 832, 833, 834, 1022], "unionatla": [835, 836, 837, 838, 839, 1023], "unionmultiadjac": [840, 841, 842, 843, 844, 1024], "unionmultiinn": [845, 846, 847, 848, 849, 1025], "__contains__": [850, 895, 931, 977], "__getitem__": [851, 896, 932, 978, 1402], "__iter__": [853, 898, 934, 980], "__len__": [854, 899, 935, 981], "multidigraph": [931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 1042, 1403], "new_edge_kei": [956, 1000], "multigraph": [977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1043, 1403, 1436], "_dispatch": 1014, "class": [1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1041, 1402, 1403, 1408], "coreview": [1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025], "hide_diedg": 1026, "hide_edg": 1027, "hide_multidiedg": 1028, "hide_multiedg": 1029, "hide_nod": 1030, "no_filt": 1031, "show_diedg": 1032, "show_edg": 1033, "show_multidiedg": 1034, "show_multiedg": 1035, "filter": [1036, 1041], "show_nod": 1036, "generic_graph_view": 1037, "reverse_view": [1038, 1086], "subgraph_view": [1039, 1091], "undirect": [1040, 1043], "which": 1041, "should": 1041, "backend": 1041, "dispatch": 1041, "convert": [1044, 1402, 1403], "other": [1044, 1402, 1408, 1409, 1411], "data": [1044, 1332, 1401], "To": 1044, "dictionari": [1044, 1415], "scipi": [1044, 1414], "panda": 1044, "agraph": 1045, "dot": 1045, "pydot": 1045, "latex": 1045, "tikz": 1045, "approach": 1045, "freez": [1047, 1066], "argmap": [1048, 1049, 1050, 1302], "assembl": 1048, "compil": 1049, "signatur": 1050, "mappedqueu": [1051, 1052, 1053, 1054, 1308], "pop": 1051, "add_cycl": [1055, 1403], "add_path": [1056, 1403], "add_star": [1057, 1403], "all_neighbor": 1058, "common_neighbor": 1059, "create_empty_copi": 1060, "degree_histogram": 1062, "get_edge_attribut": 1067, "get_node_attribut": 1068, "induced_subgraph": 1069, "is_empti": 1071, "is_frozen": 1072, "is_negatively_weight": 1073, "is_path": 1074, "is_weight": 1075, "nodes_with_selfloop": 1078, "non_edg": 1079, "non_neighbor": 1080, "number_of_selfloop": 1083, "path_weight": 1084, "restricted_view": 1085, "selfloop_edg": 1087, "set_edge_attribut": 1088, "set_node_attribut": 1089, "from_dict_of_dict": 1094, "from_dict_of_list": 1095, "from_edgelist": 1096, "to_dict_of_dict": 1097, "to_dict_of_list": 1098, "to_edgelist": 1099, "to_networkx_graph": 1100, "from_numpy_arrai": 1101, "from_pandas_adjac": 1102, "from_pandas_edgelist": 1103, "from_scipy_sparse_arrai": 1104, "to_numpy_arrai": 1105, "to_pandas_adjac": 1106, "to_pandas_edgelist": 1107, "to_scipy_sparse_arrai": 1108, "bipartite_layout": 1109, "circular_layout": 1110, "kamada_kawai_layout": 1111, "multipartite_layout": 1112, "planar_layout": 1113, "random_layout": 1114, "rescale_layout": 1115, "rescale_layout_dict": 1116, "shell_layout": 1117, "spectral_layout": 1118, "spiral_layout": 1119, "spring_layout": 1120, "from_agraph": 1121, "graphviz_layout": [1122, 1131], "pygraphviz_layout": 1123, "read_dot": [1124, 1133], "to_agraph": 1125, "write_dot": [1126, 1135], "to_latex": 1127, "to_latex_raw": 1128, "write_latex": 1129, "from_pydot": 1130, "pydot_layout": 1132, "to_pydot": 1134, "draw_circular": 1137, "draw_kamada_kawai": 1138, "draw_networkx": 1139, "draw_networkx_edge_label": 1140, "draw_networkx_edg": 1141, "draw_networkx_label": 1142, "draw_networkx_nod": 1143, "draw_planar": 1144, "draw_random": 1145, "draw_shel": 1146, "draw_spectr": 1147, "draw_spr": 1148, "graph_atla": 1149, "graph_atlas_g": 1150, "balanced_tre": 1151, "barbell_graph": 1152, "binomial_tre": 1153, "circulant_graph": 1154, "circular_ladder_graph": 1155, "complete_graph": 1156, "complete_multipartite_graph": 1157, "cycle_graph": 1158, "dorogovtsev_goltsev_mendes_graph": 1159, "empty_graph": 1160, "full_rary_tre": 1161, "ladder_graph": 1162, "lollipop_graph": 1163, "null_graph": 1164, "path_graph": 1165, "star_graph": 1166, "trivial_graph": 1167, "turan_graph": 1168, "wheel_graph": 1169, "random_cograph": 1170, "lfr_benchmark_graph": 1171, "caveman_graph": 1172, "connected_caveman_graph": 1173, "gaussian_random_partition_graph": 1174, "planted_partition_graph": 1175, "random_partition_graph": 1176, "relaxed_caveman_graph": 1177, "ring_of_cliqu": 1178, "stochastic_block_model": 1179, "windmill_graph": 1180, "degree_sequence_tre": 1182, "directed_configuration_model": 1183, "directed_havel_hakimi_graph": 1184, "expected_degree_graph": 1185, "random_degree_sequence_graph": 1187, "gn_graph": 1188, "gnc_graph": 1189, "gnr_graph": 1190, "random_k_out_graph": 1191, "scale_free_graph": 1192, "duplication_divergence_graph": 1193, "partial_duplication_graph": 1194, "ego_graph": 1195, "chordal_cycle_graph": 1196, "margulis_gabber_galil_graph": 1197, "paley_graph": 1198, "geographical_threshold_graph": 1199, "geometric_edg": 1200, "navigable_small_world_graph": 1201, "random_geometric_graph": 1202, "soft_random_geometric_graph": 1203, "thresholded_random_geometric_graph": 1204, "waxman_graph": 1205, "hkn_harary_graph": 1206, "hnm_harary_graph": 1207, "random_internet_as_graph": 1208, "general_random_intersection_graph": 1209, "k_random_intersection_graph": 1210, "uniform_random_intersection_graph": 1211, "interval_graph": 1212, "directed_joint_degree_graph": 1213, "is_valid_directed_joint_degre": 1214, "is_valid_joint_degre": 1215, "joint_degree_graph": 1216, "grid_2d_graph": 1217, "grid_graph": 1218, "hexagonal_lattice_graph": 1219, "hypercube_graph": 1220, "triangular_lattice_graph": 1221, "inverse_line_graph": 1222, "line_graph": 1223, "mycielski_graph": 1224, "mycielskian": 1225, "nonisomorphic_tre": 1226, "number_of_nonisomorphic_tre": 1227, "random_clustered_graph": 1228, "barabasi_albert_graph": 1229, "binomial_graph": 1230, "connected_watts_strogatz_graph": 1231, "dense_gnm_random_graph": 1232, "dual_barabasi_albert_graph": 1233, "erdos_renyi_graph": 1234, "extended_barabasi_albert_graph": 1235, "fast_gnp_random_graph": 1236, "gnm_random_graph": 1237, "gnp_random_graph": 1238, "newman_watts_strogatz_graph": 1239, "powerlaw_cluster_graph": 1240, "random_kernel_graph": 1241, "random_lobst": 1242, "random_powerlaw_tre": 1243, "random_powerlaw_tree_sequ": 1244, "random_regular_graph": 1245, "random_shell_graph": 1246, "watts_strogatz_graph": 1247, "lcf_graph": 1248, "bull_graph": 1249, "chvatal_graph": 1250, "cubical_graph": 1251, "desargues_graph": 1252, "diamond_graph": 1253, "dodecahedral_graph": 1254, "frucht_graph": 1255, "heawood_graph": 1256, "hoffman_singleton_graph": 1257, "house_graph": 1258, "house_x_graph": 1259, "icosahedral_graph": 1260, "krackhardt_kite_graph": 1261, "moebius_kantor_graph": 1262, "octahedral_graph": 1263, "pappus_graph": 1264, "petersen_graph": 1265, "sedgewick_maze_graph": 1266, "tetrahedral_graph": 1267, "truncated_cube_graph": 1268, "truncated_tetrahedron_graph": 1269, "tutte_graph": 1270, "davis_southern_women_graph": 1271, "florentine_families_graph": 1272, "karate_club_graph": 1273, "les_miserables_graph": 1274, "spectral_graph_forg": 1275, "stochastic_graph": 1276, "sudoku_graph": 1277, "prefix_tre": 1278, "random_tre": 1279, "triad_graph": 1280, "algebraic_connect": 1281, "fiedler_vector": 1282, "spectral_ord": 1283, "attr_matrix": 1284, "attr_sparse_matrix": 1285, "bethe_hessian_matrix": 1286, "adjacency_matrix": 1287, "incidence_matrix": 1288, "directed_combinatorial_laplacian_matrix": 1289, "directed_laplacian_matrix": 1290, "laplacian_matrix": 1291, "normalized_laplacian_matrix": 1292, "directed_modularity_matrix": 1293, "modularity_matrix": 1294, "adjacency_spectrum": 1295, "bethe_hessian_spectrum": 1296, "laplacian_spectrum": 1297, "modularity_spectrum": 1298, "normalized_laplacian_spectrum": 1299, "convert_node_labels_to_integ": 1300, "relabel_nod": 1301, "decor": [1302, 1401], "nodes_or_numb": 1303, "not_implemented_for": 1304, "np_random_st": 1305, "open_fil": 1306, "py_random_st": 1307, "mapped_queu": 1308, "arbitrary_el": 1309, "create_py_random_st": 1310, "create_random_st": 1311, "dict_to_numpy_arrai": 1312, "edges_equ": 1313, "flatten": 1314, "graphs_equ": 1315, "make_list_of_int": 1317, "nodes_equ": 1318, "pairwis": 1319, "cumulative_distribut": 1320, "discrete_sequ": 1321, "powerlaw_sequ": 1322, "random_weighted_sampl": 1323, "weighted_choic": 1324, "zipf_rv": 1325, "cuthill_mckee_ord": 1326, "reverse_cuthill_mckee_ord": 1327, "unionfind": 1328, "classic": [1329, 1436], "expand": 1329, "lattic": 1329, "duplic": 1329, "stochast": [1329, 1436], "AS": 1329, "social": 1329, "joint": 1329, "mycielski": 1329, "harari": 1329, "cograph": 1329, "interv": 1329, "sudoku": 1329, "glossari": 1330, "creation": 1332, "beth": 1333, "hessian": 1333, "matric": [1333, 1414], "spectrum": 1333, "generate_adjlist": 1337, "parse_adjlist": 1338, "read_adjlist": 1339, "write_adjlist": 1340, "read_weighted_edgelist": 1344, "write_weighted_edgelist": 1346, "generate_gexf": 1347, "read_gexf": 1348, "relabel_gexf_graph": 1349, "write_gexf": 1350, "generate_gml": 1351, "literal_destring": 1352, "literal_string": 1353, "parse_gml": 1354, "read_gml": 1355, "write_gml": 1356, "from_graph6_byt": 1357, "read_graph6": 1358, "to_graph6_byt": 1359, "write_graph6": 1360, "generate_graphml": 1361, "parse_graphml": 1362, "read_graphml": 1363, "write_graphml": 1364, "adjacency_data": 1365, "adjacency_graph": 1366, "cytoscape_data": 1367, "cytoscape_graph": 1368, "node_link_data": 1369, "node_link_graph": 1370, "tree_data": 1371, "tree_graph": 1372, "parse_leda": 1373, "read_leda": 1374, "generate_multiline_adjlist": 1375, "parse_multiline_adjlist": 1376, "read_multiline_adjlist": 1377, "write_multiline_adjlist": 1378, "generate_pajek": 1379, "parse_pajek": 1380, "read_pajek": 1381, "write_pajek": 1382, "from_sparse6_byt": 1383, "read_sparse6": 1384, "to_sparse6_byt": 1385, "write_sparse6": 1386, "generate_network_text": 1387, "write_network_text": 1388, "gexf": 1389, "gml": 1390, "graphml": 1391, "json": 1393, "leda": 1394, "market": 1395, "multilin": 1396, "pajek": 1397, "sparsegraph6": 1398, "graph6": 1398, "sparse6": 1398, "text": 1399, "relabel": 1400, "map": 1401, "queue": 1401, "99": [1402, 1415], "featur": [1402, 1403, 1406, 1407, 1415], "fix": [1402, 1407, 1410, 1415], "delete_nod": [1402, 1403], "delete_nodes_from": [1402, 1403], "delete_edg": [1402, 1403], "delete_edges_from": [1402, 1403], "get_edg": [1402, 1403], "degree_it": 1402, "info": 1402, "g": [1402, 1436], "adjacency_list": 1402, "adjacency_it": 1402, "possibl": 1402, "incompat": 1402, "exist": [1402, 1403], "import": [1402, 1415], "prepare_nbunch": 1402, "your": [1402, 1403], "old": [1402, 1415], "number": 1403, "nodes_it": 1403, "member": 1403, "add_weight": 1403, "edges_from": 1403, "labeledgraph": 1403, "labeleddigraph": 1403, "ubigraph": 1403, "addit": 1403, "10": [1404, 1415], "highlight": [1404, 1405, 1407, 1408, 1409, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "miscellan": [1404, 1405, 1411], "11": [1405, 1415], "5": [1407, 1415, 1421, 1430, 1436], "6": [1408, 1415, 1422, 1431], "7": [1409, 1415, 1423, 1424, 1432], "8": [1410, 1415, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433], "9": [1411, 1415], "migrat": [1413, 1414], "both": 1413, "pickl": 1413, "v1": 1413, "v2": 1413, "depend": 1414, "improv": [1414, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1432, 1434, 1435], "integr": 1414, "scientif": 1414, "replac": 1414, "arrai": 1414, "switch": 1414, "some": 1414, "dtype": 1414, "multi": 1414, "log": 1415, "return": 1415, "37": 1415, "36": 1415, "35": 1415, "34": 1415, "33": 1415, "32": 1415, "31": 1415, "30": 1415, "29": 1415, "28": 1415, "27": 1415, "26": 1415, "25": 1415, "24": 1415, "23": 1415, "22": 1415, "pr": [1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "gsoc": 1423, "unreleas": 1435, "tutori": 1436, "examin": 1436, "element": 1436, "constructor": 1436, "access": 1436, "appli": 1436, "call": 1436, "one": 1436, "e": 1436, "store": 1436, "file": 1436, "analyz": 1436, "nx": 1436}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 8, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "sphinx": 57}, "alltitles": {"3D Drawing": [[0, "d-drawing"], [87, "d-drawing"]], "Mayavi2": [[1, "mayavi2"]], "Basic matplotlib": [[2, "basic-matplotlib"]], "Computation times": [[3, "computation-times"], [18, "computation-times"], [23, "computation-times"], [48, "computation-times"], [52, "computation-times"], [60, "computation-times"], [73, "computation-times"], [79, "computation-times"], [86, "computation-times"], [91, "computation-times"]], "Algorithms": [[4, "algorithms"], [87, "algorithms"], [760, "algorithms"], [1332, "algorithms"]], "Beam Search": [[5, "beam-search"]], "Search for a node with high centrality.": [[5, "search-for-a-node-with-high-centrality"]], "Betweenness Centrality": [[6, "betweenness-centrality"]], "Blockmodel": [[7, "blockmodel"]], "Circuits": [[8, "circuits"]], "Create an example Boolean circuit.": [[8, "create-an-example-boolean-circuit"]], "Davis Club": [[9, "davis-club"]], "Dedensification": [[10, "dedensification"]], "Iterated Dynamical Systems": [[11, "iterated-dynamical-systems"]], "Sums of cubes on 3N": [[11, "sums-of-cubes-on-3n"]], "The general problem": [[11, "the-general-problem"]], "The 3n+1 problem": [[11, "the-3n-1-problem"]], "Krackhardt Centrality": [[12, "krackhardt-centrality"]], "Maximum Independent Set": [[13, "maximum-independent-set"]], "Parallel Betweenness": [[14, "parallel-betweenness"]], "Reverse Cuthill\u2013McKee": [[15, "reverse-cuthill-mckee"]], "SNAP Graph Summary": [[16, "snap-graph-summary"]], "Subgraphs": [[17, "subgraphs"]], "Create an example directed graph.": [[17, "create-an-example-directed-graph"]], "Plot the original graph.": [[17, "plot-the-original-graph"]], "Calculate the subgraphs with plotting all results of intemediate steps.": [[17, "calculate-the-subgraphs-with-plotting-all-results-of-intemediate-steps"]], "Plot the results: every subgraph in the list.": [[17, "plot-the-results-every-subgraph-in-the-list"]], "Put the graph back from the list of subgraphs": [[17, "put-the-graph-back-from-the-list-of-subgraphs"]], "Check that the original graph and the reconstructed graphs are isomorphic.": [[17, "check-that-the-original-graph-and-the-reconstructed-graphs-are-isomorphic"]], "Plot the reconstructed graph.": [[17, "plot-the-reconstructed-graph"]], "Basic": [[19, "basic"], [87, "basic"]], "Properties": [[20, "properties"]], "Read and write graphs.": [[21, "read-and-write-graphs"]], "Simple graph": [[22, "simple-graph"]], "Drawing": [[24, "drawing"], [87, "drawing"], [1045, "drawing"], [1332, "drawing"]], "Custom Node Position": [[25, "custom-node-position"]], "Chess Masters": [[26, "chess-masters"]], "Custom node icons": [[27, "custom-node-icons"]], "Degree Analysis": [[28, "degree-analysis"]], "Directed Graph": [[29, "directed-graph"]], "Edge Colormap": [[30, "edge-colormap"]], "Ego Graph": [[31, "ego-graph"], [1329, "module-networkx.generators.ego"]], "Eigenvalues": [[32, "eigenvalues"]], "Four Grids": [[33, "four-grids"]], "House With Colors": [[34, "house-with-colors"]], "Knuth Miles": [[35, "knuth-miles"]], "Labels And Colors": [[36, "labels-and-colors"]], "Multipartite Layout": [[37, "multipartite-layout"]], "Node Colormap": [[38, "node-colormap"]], "Rainbow Coloring": [[39, "rainbow-coloring"]], "References": [[39, "references"], [133, "references"], [762, "references"], [763, "references"], [764, "references"], [769, "references"], [772, "references"], [1045, "references"], [1329, "references"], [1329, "id2"], [1329, "id3"]], "Random Geometric Graph": [[40, "random-geometric-graph"]], "Sampson": [[41, "sampson"]], "Self-loops": [[42, "self-loops"], [1402, "self-loops"]], "Simple Path": [[43, "simple-path"]], "Spectral Embedding": [[44, "spectral-embedding"]], "Traveling Salesman Problem": [[45, "traveling-salesman-problem"]], "Unix Email": [[46, "unix-email"]], "Weighted Graph": [[47, "weighted-graph"]], "External libraries": [[49, "external-libraries"], [87, "external-libraries"]], "Javascript": [[50, "javascript"]], "igraph": [[51, "igraph"]], "NetworkX to igraph": [[51, "networkx-to-igraph"]], "igraph to NetworkX": [[51, "igraph-to-networkx"]], "Geospatial Examples Description": [[53, "geospatial-examples-description"]], "Geospatial Python Libraries": [[53, "geospatial-python-libraries"]], "Key Concepts": [[53, "key-concepts"]], "Learn More": [[53, "learn-more"]], "Geospatial": [[54, "geospatial"], [87, "geospatial"]], "Delaunay graphs from geographic points": [[55, "delaunay-graphs-from-geographic-points"]], "Graphs from a set of lines": [[56, "graphs-from-a-set-of-lines"]], "OpenStreetMap with OSMnx": [[57, "openstreetmap-with-osmnx"]], "Graphs from geographic points": [[58, "graphs-from-geographic-points"]], "Graphs from Polygons": [[59, "graphs-from-polygons"]], "Graph": [[61, "graph"], [87, "graph"], [1047, "graph"]], "DAG - Topological Layout": [[62, "dag-topological-layout"]], "Degree Sequence": [[63, "degree-sequence"], [1329, "module-networkx.generators.degree_seq"]], "Erdos Renyi": [[64, "erdos-renyi"]], "Expected Degree Sequence": [[65, "expected-degree-sequence"]], "Football": [[66, "football"]], "Karate Club": [[67, "karate-club"]], "Morse Trie": [[68, "morse-trie"]], "Napoleon Russian Campaign": [[69, "napoleon-russian-campaign"]], "Roget": [[70, "roget"]], "Triads": [[71, "triads"], [794, "module-networkx.algorithms.triads"], [1329, "module-networkx.generators.triads"]], "Words/Ladder Graph": [[72, "words-ladder-graph"]], "Graphviz Drawing": [[74, "graphviz-drawing"], [87, "graphviz-drawing"]], "Attributes": [[75, "attributes"], [1047, "attributes"]], "Conversion": [[76, "conversion"]], "2D Grid": [[77, "d-grid"]], "Atlas": [[78, "atlas"], [81, "atlas"], [1329, "module-networkx.generators.atlas"]], "Graphviz Layout": [[80, "graphviz-layout"], [87, "graphviz-layout"]], "Circular Tree": [[82, "circular-tree"]], "Decomposition": [[83, "decomposition"], [793, "module-networkx.algorithms.tree.decomposition"]], "Giant Component": [[84, "giant-component"]], "Lanl Routes": [[85, "lanl-routes"]], "Gallery": [[87, "gallery"]], "Subclass": [[87, "subclass"], [88, "subclass"]], "Antigraph": [[89, "antigraph"]], "Print Graph": [[90, "print-graph"]], "About Us": [[92, "about-us"]], "Core Developers": [[92, "core-developers"], [101, "core-developers"], [109, "core-developers"]], "Emeritus Developers": [[92, "emeritus-developers"], [109, "emeritus-developers"]], "Contributors": [[92, "contributors"], [101, "contributors"], [1416, "contributors"], [1417, "contributors"], [1418, "contributors"], [1419, "contributors"], [1420, "contributors"], [1421, "contributors"], [1422, "contributors"], [1423, "contributors"], [1424, "contributors"], [1425, "contributors"], [1426, "contributors"], [1427, "contributors"], [1428, "contributors"], [1429, "contributors"], [1430, "contributors"], [1431, "contributors"], [1432, "contributors"], [1433, "contributors"], [1434, "contributors"], [1435, "contributors"]], "Support": [[92, "support"]], "Code of Conduct": [[93, "code-of-conduct"]], "Introduction": [[93, "introduction"], [762, "introduction"], [764, "introduction"], [1332, "introduction"]], "Specific Guidelines": [[93, "specific-guidelines"]], "Diversity Statement": [[93, "diversity-statement"]], "Reporting Guidelines": [[93, "reporting-guidelines"]], "Incident reporting resolution & Code of Conduct enforcement": [[93, "incident-reporting-resolution-code-of-conduct-enforcement"]], "Endnotes": [[93, "endnotes"]], "Contributor Guide": [[94, "contributor-guide"]], "Development Workflow": [[94, "development-workflow"]], "Divergence from upstream main": [[94, "divergence-from-upstream-main"]], "Guidelines": [[94, "guidelines"]], "Testing": [[94, "testing"], [112, "testing"], [1041, "testing"]], "Adding tests": [[94, "adding-tests"]], "Adding examples": [[94, "adding-examples"]], "Adding References": [[94, "adding-references"]], "Image comparison": [[94, "image-comparison"]], "Bugs": [[94, "bugs"]], "Policies": [[94, "policies"]], "Core Developer Guide": [[95, "core-developer-guide"]], "Reviewing": [[95, "reviewing"]], "How to Conduct A Good Review": [[95, "how-to-conduct-a-good-review"]], "Merge Only Changes You Understand": [[95, "merge-only-changes-you-understand"]], "Closing issues and pull requests": [[95, "closing-issues-and-pull-requests"]], "Further resources": [[95, "further-resources"]], "Deprecations": [[96, "deprecations"], [1416, "deprecations"], [1417, "deprecations"], [1418, "deprecations"], [1419, "deprecations"], [1420, "deprecations"], [1421, "deprecations"], [1422, "deprecations"], [1423, "deprecations"], [1425, "deprecations"], [1434, "deprecations"], [1435, "deprecations"]], "Policy": [[96, "policy"]], "Todo": [[96, "todo"]], "Version 3.0": [[96, "version-3-0"]], "Version 3.2": [[96, "version-3-2"]], "Version 3.3": [[96, "version-3-3"]], "Developer": [[97, "developer"]], "New Contributor FAQ": [[98, "new-contributor-faq"]], "Q: I\u2019m new to open source and would like to contribute to NetworkX. How do I get started?": [[98, "q-i-m-new-to-open-source-and-would-like-to-contribute-to-networkx-how-do-i-get-started"]], "Q: I\u2019ve found an issue I\u2019m interested in, can I have it assigned to me?": [[98, "q-i-ve-found-an-issue-i-m-interested-in-can-i-have-it-assigned-to-me"]], "Q: How do I contribute an example to the Gallery?": [[98, "q-how-do-i-contribute-an-example-to-the-gallery"]], "Q: I want to work on a specific function. How do I find it in the source code?": [[98, "q-i-want-to-work-on-a-specific-function-how-do-i-find-it-in-the-source-code"]], "Q: What is the policy for deciding whether to include a new algorithm?": [[98, "q-what-is-the-policy-for-deciding-whether-to-include-a-new-algorithm"]], "NXEPs": [[99, "nxeps"], [1422, "nxeps"]], "NXEP 0 \u2014 Purpose and Process": [[100, "nxep-0-purpose-and-process"]], "What is a NXEP?": [[100, "what-is-a-nxep"]], "Types": [[100, "types"]], "NXEP Workflow": [[100, "nxep-workflow"]], "Review and Resolution": [[100, "review-and-resolution"]], "How a NXEP becomes Accepted": [[100, "how-a-nxep-becomes-accepted"]], "Maintenance": [[100, "maintenance"]], "Format and Template": [[100, "format-and-template"]], "Header Preamble": [[100, "header-preamble"]], "References and Footnotes": [[100, "references-and-footnotes"]], "NXEP 1 \u2014 Governance and Decision Making": [[101, "nxep-1-governance-and-decision-making"]], "Abstract": [[101, "abstract"], [102, "abstract"], [103, "abstract"], [104, "abstract"], [105, "abstract"]], "Roles And Responsibilities": [[101, "roles-and-responsibilities"]], "The Community": [[101, "the-community"]], "Steering Council": [[101, "steering-council"]], "Decision Making Process": [[101, "decision-making-process"]], "Enhancement Proposals (NXEPs)": [[101, "enhancement-proposals-nxeps"]], "Acknowledgments": [[101, "acknowledgments"], [110, "acknowledgments"]], "NXEP 2 \u2014 API design of view slices": [[102, "nxep-2-api-design-of-view-slices"]], "Motivation and Scope": [[102, "motivation-and-scope"], [103, "motivation-and-scope"], [104, "motivation-and-scope"], [105, "motivation-and-scope"]], "Motivating Use-Case": [[102, "motivating-use-case"]], "Usage and Impact": [[102, "usage-and-impact"], [103, "usage-and-impact"], [104, "usage-and-impact"], [105, "usage-and-impact"]], "Backward compatibility": [[102, "backward-compatibility"], [103, "backward-compatibility"], [104, "backward-compatibility"], [105, "backward-compatibility"]], "Detailed description": [[102, "detailed-description"], [103, "detailed-description"], [104, "detailed-description"], [105, "detailed-description"]], "Related Work": [[102, "related-work"], [103, "related-work"], [104, "related-work"], [105, "related-work"]], "Implementation": [[102, "implementation"], [103, "implementation"], [104, "implementation"], [105, "implementation"]], "Alternatives": [[102, "alternatives"], [103, "alternatives"], [104, "alternatives"], [105, "alternatives"]], "Discussion": [[102, "discussion"], [103, "discussion"], [104, "discussion"], [105, "discussion"]], "Resolution": [[102, "resolution"]], "NXEP 3 \u2014 Graph Builders": [[103, "nxep-3-graph-builders"]], "NXEP 4 \u2014 Adopting numpy.random.Generator as default random interface": [[104, "nxep-4-adopting-numpy-random-generator-as-default-random-interface"]], "NXEP X \u2014 Template and Instructions": [[105, "nxep-x-template-and-instructions"]], "Mentored Projects": [[106, "mentored-projects"]], "Pedagogical Interactive Notebooks for Algorithms Implemented in NetworkX": [[106, "pedagogical-interactive-notebooks-for-algorithms-implemented-in-networkx"]], "Visualization API with Matplotlib": [[106, "visualization-api-with-matplotlib"]], "Incorporate a Python library for ISMAGs isomorphism calculations": [[106, "incorporate-a-python-library-for-ismags-isomorphism-calculations"]], "Completed Projects": [[106, "completed-projects"]], "Release Process": [[107, "release-process"]], "Roadmap": [[108, "roadmap"]], "Installation": [[108, "installation"]], "Sustainability": [[108, "sustainability"]], "Performance": [[108, "performance"]], "Documentation": [[108, "documentation"], [1415, "documentation"], [1415, "id71"], [1415, "id75"]], "Linear Algebra": [[108, "linear-algebra"]], "Interoperability": [[108, "interoperability"]], "Visualization": [[108, "visualization"]], "Mission and Values": [[110, "mission-and-values"]], "Our mission": [[110, "our-mission"]], "Our values": [[110, "our-values"]], "Software for Complex Networks": [[111, "software-for-complex-networks"]], "Citing": [[111, "citing"]], "Audience": [[111, "audience"]], "Python": [[111, "python"]], "License": [[111, "license"]], "Bibliography": [[111, "bibliography"]], "Install": [[112, "install"]], "Install the released version": [[112, "install-the-released-version"]], "Install the development version": [[112, "install-the-development-version"]], "Extra packages": [[112, "extra-packages"]], "Test a source distribution": [[112, "test-a-source-distribution"]], "Test an installed package": [[112, "test-an-installed-package"]], "Approximations and Heuristics": [[113, "module-networkx.algorithms.approximation"]], "Connectivity": [[113, "module-networkx.algorithms.approximation.connectivity"], [127, "connectivity"], [128, "module-networkx.algorithms.connectivity"]], "K-components": [[113, "module-networkx.algorithms.approximation.kcomponents"]], "Clique": [[113, "module-networkx.algorithms.approximation.clique"], [122, "module-networkx.algorithms.clique"]], "Clustering": [[113, "module-networkx.algorithms.approximation.clustering_coefficient"], [116, "module-networkx.algorithms.bipartite.cluster"], [123, "module-networkx.algorithms.cluster"]], "Distance Measures": [[113, "module-networkx.algorithms.approximation.distance_measures"], [135, "module-networkx.algorithms.distance_measures"]], "Dominating Set": [[113, "module-networkx.algorithms.approximation.dominating_set"]], "Matching": [[113, "module-networkx.algorithms.approximation.matching"], [116, "module-networkx.algorithms.bipartite.matching"], [768, "module-networkx.algorithms.matching"]], "Ramsey": [[113, "module-networkx.algorithms.approximation.ramsey"]], "Steiner Tree": [[113, "module-networkx.algorithms.approximation.steinertree"]], "Traveling Salesman": [[113, "module-networkx.algorithms.approximation.traveling_salesman"]], "Travelling Salesman Problem (TSP)": [[113, "travelling-salesman-problem-tsp"]], "Treewidth": [[113, "module-networkx.algorithms.approximation.treewidth"]], "Vertex Cover": [[113, "module-networkx.algorithms.approximation.vertex_cover"]], "Max Cut": [[113, "module-networkx.algorithms.approximation.maxcut"]], "Assortativity": [[114, "module-networkx.algorithms.assortativity"], [114, "id1"]], "Average neighbor degree": [[114, "average-neighbor-degree"]], "Average degree connectivity": [[114, "average-degree-connectivity"]], "Mixing": [[114, "mixing"]], "Pairs": [[114, "pairs"]], "Asteroidal": [[115, "module-networkx.algorithms.asteroidal"]], "Bipartite": [[116, "module-networkx.algorithms.bipartite"]], "Basic functions": [[116, "module-networkx.algorithms.bipartite.basic"]], "Edgelist": [[116, "module-networkx.algorithms.bipartite.edgelist"]], "Format": [[116, "format"], [1335, "format"], [1336, "format"], [1389, "format"], [1391, "format"], [1394, "format"], [1396, "format"], [1397, "format"]], "Matrix": [[116, "module-networkx.algorithms.bipartite.matrix"]], "Projections": [[116, "module-networkx.algorithms.bipartite.projection"]], "Spectral": [[116, "module-networkx.algorithms.bipartite.spectral"], [1329, "module-networkx.generators.spectral_graph_forge"]], "Redundancy": [[116, "module-networkx.algorithms.bipartite.redundancy"]], "Centrality": [[116, "module-networkx.algorithms.bipartite.centrality"], [119, "module-networkx.algorithms.centrality"]], "Generators": [[116, "module-networkx.algorithms.bipartite.generators"]], "Covering": [[116, "module-networkx.algorithms.bipartite.covering"], [130, "module-networkx.algorithms.covering"]], "Boundary": [[117, "module-networkx.algorithms.boundary"]], "Bridges": [[118, "module-networkx.algorithms.bridges"]], "Degree": [[119, "degree"]], "Eigenvector": [[119, "eigenvector"]], "Closeness": [[119, "closeness"]], "Current Flow Closeness": [[119, "current-flow-closeness"]], "(Shortest Path) Betweenness": [[119, "shortest-path-betweenness"]], "Current Flow Betweenness": [[119, "current-flow-betweenness"]], "Communicability Betweenness": [[119, "communicability-betweenness"]], "Group Centrality": [[119, "group-centrality"]], "Load": [[119, "load"]], "Subgraph": [[119, "subgraph"]], "Harmonic Centrality": [[119, "harmonic-centrality"]], "Dispersion": [[119, "dispersion"]], "Reaching": [[119, "reaching"]], "Percolation": [[119, "percolation"]], "Second Order Centrality": [[119, "second-order-centrality"]], "Trophic": [[119, "trophic"]], "VoteRank": [[119, "voterank"]], "Laplacian": [[119, "laplacian"]], "Chains": [[120, "module-networkx.algorithms.chains"]], "Chordal": [[121, "chordal"]], "Coloring": [[124, "module-networkx.algorithms.coloring"]], "Communicability": [[125, "module-networkx.algorithms.communicability_alg"]], "Communities": [[126, "module-networkx.algorithms.community"]], "Bipartitions": [[126, "module-networkx.algorithms.community.kernighan_lin"]], "K-Clique": [[126, "module-networkx.algorithms.community.kclique"]], "Modularity-based communities": [[126, "module-networkx.algorithms.community.modularity_max"]], "Tree partitioning": [[126, "module-networkx.algorithms.community.lukes"]], "Label propagation": [[126, "module-networkx.algorithms.community.label_propagation"]], "Louvain Community Detection": [[126, "module-networkx.algorithms.community.louvain"]], "Fluid Communities": [[126, "module-networkx.algorithms.community.asyn_fluid"]], "Measuring partitions": [[126, "module-networkx.algorithms.community.quality"]], "Partitions via centrality measures": [[126, "module-networkx.algorithms.community.centrality"]], "Validating partitions": [[126, "module-networkx.algorithms.community.community_utils"]], "Components": [[127, "module-networkx.algorithms.components"]], "Strong connectivity": [[127, "strong-connectivity"]], "Weak connectivity": [[127, "weak-connectivity"]], "Attracting components": [[127, "attracting-components"]], "Biconnected components": [[127, "biconnected-components"]], "Semiconnectedness": [[127, "semiconnectedness"]], "Edge-augmentation": [[128, "module-networkx.algorithms.connectivity.edge_augmentation"]], "See Also": [[128, "see-also"], [764, "see-also"], [1044, "see-also"], [1044, "id2"], [1045, "see-also"], [1045, "id3"], [1045, "id5"]], "K-edge-components": [[128, "module-networkx.algorithms.connectivity.edge_kcomponents"]], "K-node-components": [[128, "module-networkx.algorithms.connectivity.kcomponents"]], "K-node-cutsets": [[128, "module-networkx.algorithms.connectivity.kcutsets"]], "Flow-based disjoint paths": [[128, "module-networkx.algorithms.connectivity.disjoint_paths"]], "Flow-based Connectivity": [[128, "module-networkx.algorithms.connectivity.connectivity"]], "Flow-based Minimum Cuts": [[128, "module-networkx.algorithms.connectivity.cuts"]], "Stoer-Wagner minimum cut": [[128, "module-networkx.algorithms.connectivity.stoerwagner"]], "Utils for flow-based connectivity": [[128, "module-networkx.algorithms.connectivity.utils"]], "Cores": [[129, "module-networkx.algorithms.core"]], "Cuts": [[131, "module-networkx.algorithms.cuts"]], "Cycles": [[132, "module-networkx.algorithms.cycles"]], "D-Separation": [[133, "module-networkx.algorithms.d_separation"]], "Blocking paths": [[133, "blocking-paths"]], "Illustration of D-separation with examples": [[133, "illustration-of-d-separation-with-examples"]], "D-separation and its applications in probability": [[133, "d-separation-and-its-applications-in-probability"]], "Examples": [[133, "examples"], [762, "examples"], [764, "examples"], [1044, "examples"], [1044, "id1"], [1045, "examples"], [1045, "id2"], [1045, "id4"], [1045, "id6"], [1395, "examples"], [1402, "examples"], [1403, "examples"], [1411, "examples"], [1415, "examples"], [1415, "id29"], [1415, "id32"], [1415, "id35"], [1415, "id44"], [1415, "id47"], [1415, "id50"], [1415, "id53"], [1415, "id57"], [1415, "id60"], [1415, "id63"], [1415, "id66"], [1415, "id70"], [1415, "id74"]], "Directed Acyclic Graphs": [[134, "module-networkx.algorithms.dag"]], "Distance-Regular Graphs": [[136, "module-networkx.algorithms.distance_regular"]], "Dominance": [[137, "module-networkx.algorithms.dominance"]], "Dominating Sets": [[138, "module-networkx.algorithms.dominating"]], "Efficiency": [[139, "module-networkx.algorithms.efficiency_measures"]], "Eulerian": [[140, "module-networkx.algorithms.euler"]], "Flows": [[141, "module-networkx.algorithms.flow"]], "Maximum Flow": [[141, "maximum-flow"]], "Edmonds-Karp": [[141, "edmonds-karp"]], "Shortest Augmenting Path": [[141, "shortest-augmenting-path"]], "Preflow-Push": [[141, "preflow-push"]], "Dinitz": [[141, "dinitz"]], "Boykov-Kolmogorov": [[141, "boykov-kolmogorov"]], "Gomory-Hu Tree": [[141, "gomory-hu-tree"]], "Utils": [[141, "utils"]], "Network Simplex": [[141, "network-simplex"]], "Capacity Scaling Minimum Cost Flow": [[141, "capacity-scaling-minimum-cost-flow"]], "EdgeComponentAuxGraph.construct": [[142, "edgecomponentauxgraph-construct"]], "EdgeComponentAuxGraph.k_edge_components": [[143, "edgecomponentauxgraph-k-edge-components"]], "EdgeComponentAuxGraph.k_edge_subgraphs": [[144, "edgecomponentauxgraph-k-edge-subgraphs"]], "ISMAGS.analyze_symmetry": [[145, "ismags-analyze-symmetry"]], "ISMAGS.find_isomorphisms": [[146, "ismags-find-isomorphisms"]], "ISMAGS.is_isomorphic": [[147, "ismags-is-isomorphic"]], "ISMAGS.isomorphisms_iter": [[148, "ismags-isomorphisms-iter"]], "ISMAGS.largest_common_subgraph": [[149, "ismags-largest-common-subgraph"]], "ISMAGS.subgraph_is_isomorphic": [[150, "ismags-subgraph-is-isomorphic"]], "ISMAGS.subgraph_isomorphisms_iter": [[151, "ismags-subgraph-isomorphisms-iter"]], "PlanarEmbedding.add_edge": [[152, "planarembedding-add-edge"]], "PlanarEmbedding.add_edges_from": [[153, "planarembedding-add-edges-from"]], "PlanarEmbedding.add_half_edge_ccw": [[154, "planarembedding-add-half-edge-ccw"]], "PlanarEmbedding.add_half_edge_cw": [[155, "planarembedding-add-half-edge-cw"]], "PlanarEmbedding.add_half_edge_first": [[156, "planarembedding-add-half-edge-first"]], "PlanarEmbedding.add_node": [[157, "planarembedding-add-node"]], "PlanarEmbedding.add_nodes_from": [[158, "planarembedding-add-nodes-from"]], "PlanarEmbedding.add_weighted_edges_from": [[159, "planarembedding-add-weighted-edges-from"]], "PlanarEmbedding.adj": [[160, "planarembedding-adj"]], "PlanarEmbedding.adjacency": [[161, "planarembedding-adjacency"]], "PlanarEmbedding.check_structure": [[162, "planarembedding-check-structure"]], "PlanarEmbedding.clear": [[163, "planarembedding-clear"]], "PlanarEmbedding.clear_edges": [[164, "planarembedding-clear-edges"]], "PlanarEmbedding.connect_components": [[165, "planarembedding-connect-components"]], "PlanarEmbedding.copy": [[166, "planarembedding-copy"]], "PlanarEmbedding.degree": [[167, "planarembedding-degree"]], "PlanarEmbedding.edge_subgraph": [[168, "planarembedding-edge-subgraph"]], "PlanarEmbedding.edges": [[169, "planarembedding-edges"]], "PlanarEmbedding.get_data": [[170, "planarembedding-get-data"]], "PlanarEmbedding.get_edge_data": [[171, "planarembedding-get-edge-data"]], "PlanarEmbedding.has_edge": [[172, "planarembedding-has-edge"]], "PlanarEmbedding.has_node": [[173, "planarembedding-has-node"]], "PlanarEmbedding.has_predecessor": [[174, "planarembedding-has-predecessor"]], "PlanarEmbedding.has_successor": [[175, "planarembedding-has-successor"]], "PlanarEmbedding.in_degree": [[176, "planarembedding-in-degree"]], "PlanarEmbedding.in_edges": [[177, "planarembedding-in-edges"]], "PlanarEmbedding.is_directed": [[178, "planarembedding-is-directed"]], "PlanarEmbedding.is_multigraph": [[179, "planarembedding-is-multigraph"]], "PlanarEmbedding.name": [[180, "planarembedding-name"]], "PlanarEmbedding.nbunch_iter": [[181, "planarembedding-nbunch-iter"]], "PlanarEmbedding.neighbors": [[182, "planarembedding-neighbors"]], "PlanarEmbedding.neighbors_cw_order": [[183, "planarembedding-neighbors-cw-order"]], "PlanarEmbedding.next_face_half_edge": [[184, "planarembedding-next-face-half-edge"]], "PlanarEmbedding.nodes": [[185, "planarembedding-nodes"]], "PlanarEmbedding.number_of_edges": [[186, "planarembedding-number-of-edges"]], "PlanarEmbedding.number_of_nodes": [[187, "planarembedding-number-of-nodes"]], "PlanarEmbedding.order": [[188, "planarembedding-order"]], "PlanarEmbedding.out_degree": [[189, "planarembedding-out-degree"]], "PlanarEmbedding.out_edges": [[190, "planarembedding-out-edges"]], "PlanarEmbedding.pred": [[191, "planarembedding-pred"]], "PlanarEmbedding.predecessors": [[192, "planarembedding-predecessors"]], "PlanarEmbedding.remove_edge": [[193, "planarembedding-remove-edge"]], "PlanarEmbedding.remove_edges_from": [[194, "planarembedding-remove-edges-from"]], "PlanarEmbedding.remove_node": [[195, "planarembedding-remove-node"]], "PlanarEmbedding.remove_nodes_from": [[196, "planarembedding-remove-nodes-from"]], "PlanarEmbedding.reverse": [[197, "planarembedding-reverse"]], "PlanarEmbedding.set_data": [[198, "planarembedding-set-data"]], "PlanarEmbedding.size": [[199, "planarembedding-size"]], "PlanarEmbedding.subgraph": [[200, "planarembedding-subgraph"]], "PlanarEmbedding.succ": [[201, "planarembedding-succ"]], "PlanarEmbedding.successors": [[202, "planarembedding-successors"]], "PlanarEmbedding.to_directed": [[203, "planarembedding-to-directed"]], "PlanarEmbedding.to_directed_class": [[204, "planarembedding-to-directed-class"]], "PlanarEmbedding.to_undirected": [[205, "planarembedding-to-undirected"]], "PlanarEmbedding.to_undirected_class": [[206, "planarembedding-to-undirected-class"]], "PlanarEmbedding.traverse_face": [[207, "planarembedding-traverse-face"]], "PlanarEmbedding.update": [[208, "planarembedding-update"]], "Edmonds.find_optimum": [[209, "edmonds-find-optimum"]], "clique_removal": [[210, "clique-removal"]], "large_clique_size": [[211, "large-clique-size"]], "max_clique": [[212, "max-clique"]], "maximum_independent_set": [[213, "maximum-independent-set"]], "average_clustering": [[214, "average-clustering"], [261, "average-clustering"], [357, "average-clustering"]], "all_pairs_node_connectivity": [[215, "all-pairs-node-connectivity"], [410, "all-pairs-node-connectivity"]], "local_node_connectivity": [[216, "local-node-connectivity"], [414, "local-node-connectivity"]], "node_connectivity": [[217, "node-connectivity"], [415, "node-connectivity"]], "diameter": [[218, "diameter"], [474, "diameter"]], "min_edge_dominating_set": [[219, "min-edge-dominating-set"]], "min_weighted_dominating_set": [[220, "min-weighted-dominating-set"]], "k_components": [[221, "k-components"], [429, "k-components"]], "min_maximal_matching": [[222, "min-maximal-matching"]], "one_exchange": [[223, "one-exchange"]], "randomized_partitioning": [[224, "randomized-partitioning"]], "ramsey_R2": [[225, "ramsey-r2"]], "metric_closure": [[226, "metric-closure"]], "steiner_tree": [[227, "steiner-tree"]], "asadpour_atsp": [[228, "asadpour-atsp"]], "christofides": [[229, "christofides"]], "greedy_tsp": [[230, "greedy-tsp"]], "simulated_annealing_tsp": [[231, "simulated-annealing-tsp"]], "threshold_accepting_tsp": [[232, "threshold-accepting-tsp"]], "traveling_salesman_problem": [[233, "traveling-salesman-problem"]], "treewidth_min_degree": [[234, "treewidth-min-degree"]], "treewidth_min_fill_in": [[235, "treewidth-min-fill-in"]], "min_weighted_vertex_cover": [[236, "min-weighted-vertex-cover"]], "attribute_assortativity_coefficient": [[237, "attribute-assortativity-coefficient"]], "attribute_mixing_dict": [[238, "attribute-mixing-dict"]], "attribute_mixing_matrix": [[239, "attribute-mixing-matrix"]], "average_degree_connectivity": [[240, "average-degree-connectivity"]], "average_neighbor_degree": [[241, "average-neighbor-degree"]], "degree_assortativity_coefficient": [[242, "degree-assortativity-coefficient"]], "degree_mixing_dict": [[243, "degree-mixing-dict"]], "degree_mixing_matrix": [[244, "degree-mixing-matrix"]], "degree_pearson_correlation_coefficient": [[245, "degree-pearson-correlation-coefficient"]], "mixing_dict": [[246, "mixing-dict"]], "node_attribute_xy": [[247, "node-attribute-xy"]], "node_degree_xy": [[248, "node-degree-xy"]], "numeric_assortativity_coefficient": [[249, "numeric-assortativity-coefficient"]], "find_asteroidal_triple": [[250, "find-asteroidal-triple"]], "is_at_free": [[251, "is-at-free"]], "color": [[252, "color"]], "degrees": [[253, "degrees"]], "density": [[254, "density"], [1063, "density"]], "is_bipartite": [[255, "is-bipartite"]], "is_bipartite_node_set": [[256, "is-bipartite-node-set"]], "sets": [[257, "sets"]], "betweenness_centrality": [[258, "betweenness-centrality"], [298, "betweenness-centrality"]], "closeness_centrality": [[259, "closeness-centrality"], [300, "closeness-centrality"]], "degree_centrality": [[260, "degree-centrality"], [305, "degree-centrality"]], "clustering": [[262, "clustering"], [358, "clustering"]], "latapy_clustering": [[263, "latapy-clustering"]], "robins_alexander_clustering": [[264, "robins-alexander-clustering"]], "min_edge_cover": [[265, "min-edge-cover"], [442, "min-edge-cover"]], "generate_edgelist": [[266, "generate-edgelist"], [1341, "generate-edgelist"]], "parse_edgelist": [[267, "parse-edgelist"], [1342, "parse-edgelist"]], "read_edgelist": [[268, "read-edgelist"], [1343, "read-edgelist"]], "write_edgelist": [[269, "write-edgelist"], [1345, "write-edgelist"]], "alternating_havel_hakimi_graph": [[270, "alternating-havel-hakimi-graph"]], "complete_bipartite_graph": [[271, "complete-bipartite-graph"]], "configuration_model": [[272, "configuration-model"], [1181, "configuration-model"]], "gnmk_random_graph": [[273, "gnmk-random-graph"]], "havel_hakimi_graph": [[274, "havel-hakimi-graph"], [1186, "havel-hakimi-graph"]], "preferential_attachment_graph": [[275, "preferential-attachment-graph"]], "random_graph": [[276, "random-graph"]], "reverse_havel_hakimi_graph": [[277, "reverse-havel-hakimi-graph"]], "eppstein_matching": [[278, "eppstein-matching"]], "hopcroft_karp_matching": [[279, "hopcroft-karp-matching"]], "maximum_matching": [[280, "maximum-matching"]], "minimum_weight_full_matching": [[281, "minimum-weight-full-matching"]], "to_vertex_cover": [[282, "to-vertex-cover"]], "biadjacency_matrix": [[283, "biadjacency-matrix"]], "from_biadjacency_matrix": [[284, "from-biadjacency-matrix"]], "collaboration_weighted_projected_graph": [[285, "collaboration-weighted-projected-graph"]], "generic_weighted_projected_graph": [[286, "generic-weighted-projected-graph"]], "overlap_weighted_projected_graph": [[287, "overlap-weighted-projected-graph"]], "projected_graph": [[288, "projected-graph"]], "weighted_projected_graph": [[289, "weighted-projected-graph"]], "node_redundancy": [[290, "node-redundancy"]], "spectral_bipartivity": [[291, "spectral-bipartivity"]], "edge_boundary": [[292, "edge-boundary"]], "node_boundary": [[293, "node-boundary"]], "bridges": [[294, "bridges"]], "has_bridges": [[295, "has-bridges"]], "local_bridges": [[296, "local-bridges"]], "approximate_current_flow_betweenness_centrality": [[297, "approximate-current-flow-betweenness-centrality"]], "betweenness_centrality_subset": [[299, "betweenness-centrality-subset"]], "communicability_betweenness_centrality": [[301, "communicability-betweenness-centrality"]], "current_flow_betweenness_centrality": [[302, "current-flow-betweenness-centrality"]], "current_flow_betweenness_centrality_subset": [[303, "current-flow-betweenness-centrality-subset"]], "current_flow_closeness_centrality": [[304, "current-flow-closeness-centrality"]], "dispersion": [[306, "dispersion"]], "edge_betweenness_centrality": [[307, "edge-betweenness-centrality"]], "edge_betweenness_centrality_subset": [[308, "edge-betweenness-centrality-subset"]], "edge_current_flow_betweenness_centrality": [[309, "edge-current-flow-betweenness-centrality"]], "edge_current_flow_betweenness_centrality_subset": [[310, "edge-current-flow-betweenness-centrality-subset"]], "edge_load_centrality": [[311, "edge-load-centrality"]], "eigenvector_centrality": [[312, "eigenvector-centrality"]], "eigenvector_centrality_numpy": [[313, "eigenvector-centrality-numpy"]], "estrada_index": [[314, "estrada-index"]], "global_reaching_centrality": [[315, "global-reaching-centrality"]], "group_betweenness_centrality": [[316, "group-betweenness-centrality"]], "group_closeness_centrality": [[317, "group-closeness-centrality"]], "group_degree_centrality": [[318, "group-degree-centrality"]], "group_in_degree_centrality": [[319, "group-in-degree-centrality"]], "group_out_degree_centrality": [[320, "group-out-degree-centrality"]], "harmonic_centrality": [[321, "harmonic-centrality"]], "in_degree_centrality": [[322, "in-degree-centrality"]], "incremental_closeness_centrality": [[323, "incremental-closeness-centrality"]], "information_centrality": [[324, "information-centrality"]], "katz_centrality": [[325, "katz-centrality"]], "katz_centrality_numpy": [[326, "katz-centrality-numpy"]], "laplacian_centrality": [[327, "laplacian-centrality"]], "load_centrality": [[328, "load-centrality"]], "local_reaching_centrality": [[329, "local-reaching-centrality"]], "out_degree_centrality": [[330, "out-degree-centrality"]], "percolation_centrality": [[331, "percolation-centrality"]], "prominent_group": [[332, "prominent-group"]], "second_order_centrality": [[333, "second-order-centrality"]], "subgraph_centrality": [[334, "subgraph-centrality"]], "subgraph_centrality_exp": [[335, "subgraph-centrality-exp"]], "trophic_differences": [[336, "trophic-differences"]], "trophic_incoherence_parameter": [[337, "trophic-incoherence-parameter"]], "trophic_levels": [[338, "trophic-levels"]], "voterank": [[339, "voterank"]], "chain_decomposition": [[340, "chain-decomposition"]], "chordal_graph_cliques": [[341, "chordal-graph-cliques"]], "chordal_graph_treewidth": [[342, "chordal-graph-treewidth"]], "complete_to_chordal_graph": [[343, "complete-to-chordal-graph"]], "find_induced_nodes": [[344, "find-induced-nodes"]], "is_chordal": [[345, "is-chordal"]], "cliques_containing_node": [[346, "cliques-containing-node"]], "enumerate_all_cliques": [[347, "enumerate-all-cliques"]], "find_cliques": [[348, "find-cliques"]], "find_cliques_recursive": [[349, "find-cliques-recursive"]], "graph_clique_number": [[350, "graph-clique-number"]], "graph_number_of_cliques": [[351, "graph-number-of-cliques"]], "make_clique_bipartite": [[352, "make-clique-bipartite"]], "make_max_clique_graph": [[353, "make-max-clique-graph"]], "max_weight_clique": [[354, "max-weight-clique"]], "node_clique_number": [[355, "node-clique-number"]], "number_of_cliques": [[356, "number-of-cliques"]], "generalized_degree": [[359, "generalized-degree"]], "square_clustering": [[360, "square-clustering"]], "transitivity": [[361, "transitivity"]], "triangles": [[362, "triangles"]], "equitable_color": [[363, "equitable-color"]], "greedy_color": [[364, "greedy-color"]], "strategy_connected_sequential": [[365, "strategy-connected-sequential"]], "strategy_connected_sequential_bfs": [[366, "strategy-connected-sequential-bfs"]], "strategy_connected_sequential_dfs": [[367, "strategy-connected-sequential-dfs"]], "strategy_independent_set": [[368, "strategy-independent-set"]], "strategy_largest_first": [[369, "strategy-largest-first"]], "strategy_random_sequential": [[370, "strategy-random-sequential"]], "strategy_saturation_largest_first": [[371, "strategy-saturation-largest-first"]], "strategy_smallest_last": [[372, "strategy-smallest-last"]], "communicability": [[373, "communicability"]], "communicability_exp": [[374, "communicability-exp"]], "asyn_fluidc": [[375, "asyn-fluidc"]], "girvan_newman": [[376, "girvan-newman"]], "is_partition": [[377, "is-partition"]], "k_clique_communities": [[378, "k-clique-communities"]], "kernighan_lin_bisection": [[379, "kernighan-lin-bisection"]], "asyn_lpa_communities": [[380, "asyn-lpa-communities"]], "label_propagation_communities": [[381, "label-propagation-communities"]], "louvain_communities": [[382, "louvain-communities"]], "louvain_partitions": [[383, "louvain-partitions"]], "lukes_partitioning": [[384, "lukes-partitioning"]], "greedy_modularity_communities": [[385, "greedy-modularity-communities"]], "naive_greedy_modularity_communities": [[386, "naive-greedy-modularity-communities"]], "modularity": [[387, "modularity"]], "partition_quality": [[388, "partition-quality"]], "articulation_points": [[389, "articulation-points"]], "attracting_components": [[390, "attracting-components"]], "biconnected_component_edges": [[391, "biconnected-component-edges"]], "biconnected_components": [[392, "biconnected-components"]], "condensation": [[393, "condensation"]], "connected_components": [[394, "connected-components"]], "is_attracting_component": [[395, "is-attracting-component"]], "is_biconnected": [[396, "is-biconnected"]], "is_connected": [[397, "is-connected"]], "is_semiconnected": [[398, "is-semiconnected"]], "is_strongly_connected": [[399, "is-strongly-connected"], [701, "is-strongly-connected"]], "is_weakly_connected": [[400, "is-weakly-connected"]], "kosaraju_strongly_connected_components": [[401, "kosaraju-strongly-connected-components"]], "node_connected_component": [[402, "node-connected-component"]], "number_attracting_components": [[403, "number-attracting-components"]], "number_connected_components": [[404, "number-connected-components"]], "number_strongly_connected_components": [[405, "number-strongly-connected-components"]], "number_weakly_connected_components": [[406, "number-weakly-connected-components"]], "strongly_connected_components": [[407, "strongly-connected-components"]], "strongly_connected_components_recursive": [[408, "strongly-connected-components-recursive"]], "weakly_connected_components": [[409, "weakly-connected-components"]], "average_node_connectivity": [[411, "average-node-connectivity"]], "edge_connectivity": [[412, "edge-connectivity"]], "local_edge_connectivity": [[413, "local-edge-connectivity"]], "minimum_edge_cut": [[416, "minimum-edge-cut"]], "minimum_node_cut": [[417, "minimum-node-cut"]], "minimum_st_edge_cut": [[418, "minimum-st-edge-cut"]], "minimum_st_node_cut": [[419, "minimum-st-node-cut"]], "edge_disjoint_paths": [[420, "edge-disjoint-paths"]], "node_disjoint_paths": [[421, "node-disjoint-paths"]], "is_k_edge_connected": [[422, "is-k-edge-connected"]], "is_locally_k_edge_connected": [[423, "is-locally-k-edge-connected"]], "k_edge_augmentation": [[424, "k-edge-augmentation"]], "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph": [[425, "networkx-algorithms-connectivity-edge-kcomponents-edgecomponentauxgraph"]], "bridge_components": [[426, "bridge-components"]], "k_edge_components": [[427, "k-edge-components"]], "k_edge_subgraphs": [[428, "k-edge-subgraphs"]], "all_node_cuts": [[430, "all-node-cuts"]], "stoer_wagner": [[431, "stoer-wagner"]], "build_auxiliary_edge_connectivity": [[432, "build-auxiliary-edge-connectivity"]], "build_auxiliary_node_connectivity": [[433, "build-auxiliary-node-connectivity"]], "core_number": [[434, "core-number"]], "k_core": [[435, "k-core"]], "k_corona": [[436, "k-corona"]], "k_crust": [[437, "k-crust"]], "k_shell": [[438, "k-shell"]], "k_truss": [[439, "k-truss"]], "onion_layers": [[440, "onion-layers"]], "is_edge_cover": [[441, "is-edge-cover"]], "boundary_expansion": [[443, "boundary-expansion"]], "conductance": [[444, "conductance"]], "cut_size": [[445, "cut-size"]], "edge_expansion": [[446, "edge-expansion"]], "mixing_expansion": [[447, "mixing-expansion"]], "node_expansion": [[448, "node-expansion"]], "normalized_cut_size": [[449, "normalized-cut-size"]], "volume": [[450, "volume"]], "cycle_basis": [[451, "cycle-basis"]], "find_cycle": [[452, "find-cycle"]], "minimum_cycle_basis": [[453, "minimum-cycle-basis"]], "recursive_simple_cycles": [[454, "recursive-simple-cycles"]], "simple_cycles": [[455, "simple-cycles"]], "d_separated": [[456, "d-separated"]], "all_topological_sorts": [[457, "all-topological-sorts"]], "ancestors": [[458, "ancestors"]], "antichains": [[459, "antichains"]], "dag_longest_path": [[460, "dag-longest-path"]], "dag_longest_path_length": [[461, "dag-longest-path-length"]], "dag_to_branching": [[462, "dag-to-branching"]], "descendants": [[463, "descendants"]], "is_aperiodic": [[464, "is-aperiodic"]], "is_directed_acyclic_graph": [[465, "is-directed-acyclic-graph"]], "lexicographical_topological_sort": [[466, "lexicographical-topological-sort"]], "topological_generations": [[467, "topological-generations"]], "topological_sort": [[468, "topological-sort"]], "transitive_closure": [[469, "transitive-closure"]], "transitive_closure_dag": [[470, "transitive-closure-dag"]], "transitive_reduction": [[471, "transitive-reduction"]], "barycenter": [[472, "barycenter"]], "center": [[473, "center"]], "eccentricity": [[475, "eccentricity"]], "periphery": [[476, "periphery"]], "radius": [[477, "radius"]], "resistance_distance": [[478, "resistance-distance"]], "global_parameters": [[479, "global-parameters"]], "intersection_array": [[480, "intersection-array"]], "is_distance_regular": [[481, "is-distance-regular"]], "is_strongly_regular": [[482, "is-strongly-regular"]], "dominance_frontiers": [[483, "dominance-frontiers"]], "immediate_dominators": [[484, "immediate-dominators"]], "dominating_set": [[485, "dominating-set"]], "is_dominating_set": [[486, "is-dominating-set"]], "efficiency": [[487, "efficiency"]], "global_efficiency": [[488, "global-efficiency"]], "local_efficiency": [[489, "local-efficiency"]], "eulerian_circuit": [[490, "eulerian-circuit"]], "eulerian_path": [[491, "eulerian-path"]], "eulerize": [[492, "eulerize"]], "has_eulerian_path": [[493, "has-eulerian-path"]], "is_eulerian": [[494, "is-eulerian"]], "is_semieulerian": [[495, "is-semieulerian"]], "boykov_kolmogorov": [[496, "boykov-kolmogorov"]], "build_residual_network": [[497, "build-residual-network"]], "capacity_scaling": [[498, "capacity-scaling"]], "cost_of_flow": [[499, "cost-of-flow"]], "dinitz": [[500, "dinitz"]], "edmonds_karp": [[501, "edmonds-karp"]], "gomory_hu_tree": [[502, "gomory-hu-tree"]], "max_flow_min_cost": [[503, "max-flow-min-cost"]], "maximum_flow": [[504, "maximum-flow"]], "maximum_flow_value": [[505, "maximum-flow-value"]], "min_cost_flow": [[506, "min-cost-flow"]], "min_cost_flow_cost": [[507, "min-cost-flow-cost"]], "minimum_cut": [[508, "minimum-cut"]], "minimum_cut_value": [[509, "minimum-cut-value"]], "network_simplex": [[510, "network-simplex"]], "preflow_push": [[511, "preflow-push"]], "shortest_augmenting_path": [[512, "shortest-augmenting-path"]], "weisfeiler_lehman_graph_hash": [[513, "weisfeiler-lehman-graph-hash"]], "weisfeiler_lehman_subgraph_hashes": [[514, "weisfeiler-lehman-subgraph-hashes"]], "is_digraphical": [[515, "is-digraphical"]], "is_graphical": [[516, "is-graphical"]], "is_multigraphical": [[517, "is-multigraphical"]], "is_pseudographical": [[518, "is-pseudographical"]], "is_valid_degree_sequence_erdos_gallai": [[519, "is-valid-degree-sequence-erdos-gallai"]], "is_valid_degree_sequence_havel_hakimi": [[520, "is-valid-degree-sequence-havel-hakimi"]], "flow_hierarchy": [[521, "flow-hierarchy"]], "is_kl_connected": [[522, "is-kl-connected"]], "kl_connected_subgraph": [[523, "kl-connected-subgraph"]], "is_isolate": [[524, "is-isolate"]], "isolates": [[525, "isolates"]], "number_of_isolates": [[526, "number-of-isolates"]], "DiGraphMatcher.__init__": [[527, "digraphmatcher-init"]], "DiGraphMatcher.candidate_pairs_iter": [[528, "digraphmatcher-candidate-pairs-iter"]], "DiGraphMatcher.initialize": [[529, "digraphmatcher-initialize"]], "DiGraphMatcher.is_isomorphic": [[530, "digraphmatcher-is-isomorphic"]], "DiGraphMatcher.isomorphisms_iter": [[531, "digraphmatcher-isomorphisms-iter"]], "DiGraphMatcher.match": [[532, "digraphmatcher-match"]], "DiGraphMatcher.semantic_feasibility": [[533, "digraphmatcher-semantic-feasibility"]], "DiGraphMatcher.subgraph_is_isomorphic": [[534, "digraphmatcher-subgraph-is-isomorphic"]], "DiGraphMatcher.subgraph_isomorphisms_iter": [[535, "digraphmatcher-subgraph-isomorphisms-iter"]], "DiGraphMatcher.syntactic_feasibility": [[536, "digraphmatcher-syntactic-feasibility"]], "GraphMatcher.__init__": [[537, "graphmatcher-init"]], "GraphMatcher.candidate_pairs_iter": [[538, "graphmatcher-candidate-pairs-iter"]], "GraphMatcher.initialize": [[539, "graphmatcher-initialize"]], "GraphMatcher.is_isomorphic": [[540, "graphmatcher-is-isomorphic"]], "GraphMatcher.isomorphisms_iter": [[541, "graphmatcher-isomorphisms-iter"]], "GraphMatcher.match": [[542, "graphmatcher-match"]], "GraphMatcher.semantic_feasibility": [[543, "graphmatcher-semantic-feasibility"]], "GraphMatcher.subgraph_is_isomorphic": [[544, "graphmatcher-subgraph-is-isomorphic"]], "GraphMatcher.subgraph_isomorphisms_iter": [[545, "graphmatcher-subgraph-isomorphisms-iter"]], "GraphMatcher.syntactic_feasibility": [[546, "graphmatcher-syntactic-feasibility"]], "networkx.algorithms.isomorphism.ISMAGS": [[547, "networkx-algorithms-isomorphism-ismags"]], "categorical_edge_match": [[548, "categorical-edge-match"]], "categorical_multiedge_match": [[549, "categorical-multiedge-match"]], "categorical_node_match": [[550, "categorical-node-match"]], "could_be_isomorphic": [[551, "could-be-isomorphic"]], "fast_could_be_isomorphic": [[552, "fast-could-be-isomorphic"]], "faster_could_be_isomorphic": [[553, "faster-could-be-isomorphic"]], "generic_edge_match": [[554, "generic-edge-match"]], "generic_multiedge_match": [[555, "generic-multiedge-match"]], "generic_node_match": [[556, "generic-node-match"]], "is_isomorphic": [[557, "is-isomorphic"]], "numerical_edge_match": [[558, "numerical-edge-match"]], "numerical_multiedge_match": [[559, "numerical-multiedge-match"]], "numerical_node_match": [[560, "numerical-node-match"]], "rooted_tree_isomorphism": [[561, "rooted-tree-isomorphism"]], "tree_isomorphism": [[562, "tree-isomorphism"]], "vf2pp_all_isomorphisms": [[563, "vf2pp-all-isomorphisms"]], "vf2pp_is_isomorphic": [[564, "vf2pp-is-isomorphic"]], "vf2pp_isomorphism": [[565, "vf2pp-isomorphism"]], "hits": [[566, "hits"]], "google_matrix": [[567, "google-matrix"]], "pagerank": [[568, "pagerank"]], "adamic_adar_index": [[569, "adamic-adar-index"]], "cn_soundarajan_hopcroft": [[570, "cn-soundarajan-hopcroft"]], "common_neighbor_centrality": [[571, "common-neighbor-centrality"]], "jaccard_coefficient": [[572, "jaccard-coefficient"]], "preferential_attachment": [[573, "preferential-attachment"]], "ra_index_soundarajan_hopcroft": [[574, "ra-index-soundarajan-hopcroft"]], "resource_allocation_index": [[575, "resource-allocation-index"]], "within_inter_cluster": [[576, "within-inter-cluster"]], "all_pairs_lowest_common_ancestor": [[577, "all-pairs-lowest-common-ancestor"]], "lowest_common_ancestor": [[578, "lowest-common-ancestor"]], "tree_all_pairs_lowest_common_ancestor": [[579, "tree-all-pairs-lowest-common-ancestor"]], "is_matching": [[580, "is-matching"]], "is_maximal_matching": [[581, "is-maximal-matching"]], "is_perfect_matching": [[582, "is-perfect-matching"]], "max_weight_matching": [[583, "max-weight-matching"]], "maximal_matching": [[584, "maximal-matching"]], "min_weight_matching": [[585, "min-weight-matching"]], "contracted_edge": [[586, "contracted-edge"]], "contracted_nodes": [[587, "contracted-nodes"]], "equivalence_classes": [[588, "equivalence-classes"]], "identified_nodes": [[589, "identified-nodes"]], "quotient_graph": [[590, "quotient-graph"]], "maximal_independent_set": [[591, "maximal-independent-set"]], "moral_graph": [[592, "moral-graph"]], "harmonic_function": [[593, "harmonic-function"]], "local_and_global_consistency": [[594, "local-and-global-consistency"]], "non_randomness": [[595, "non-randomness"]], "compose_all": [[596, "compose-all"]], "disjoint_union_all": [[597, "disjoint-union-all"]], "intersection_all": [[598, "intersection-all"]], "union_all": [[599, "union-all"]], "compose": [[600, "compose"]], "difference": [[601, "difference"]], "disjoint_union": [[602, "disjoint-union"]], "full_join": [[603, "full-join"]], "intersection": [[604, "intersection"]], "symmetric_difference": [[605, "symmetric-difference"]], "union": [[606, "union"]], "cartesian_product": [[607, "cartesian-product"]], "corona_product": [[608, "corona-product"]], "lexicographic_product": [[609, "lexicographic-product"]], "power": [[610, "power"]], "rooted_product": [[611, "rooted-product"]], "strong_product": [[612, "strong-product"]], "tensor_product": [[613, "tensor-product"]], "complement": [[614, "complement"]], "reverse": [[615, "reverse"]], "combinatorial_embedding_to_pos": [[616, "combinatorial-embedding-to-pos"]], "networkx.algorithms.planarity.PlanarEmbedding": [[617, "networkx-algorithms-planarity-planarembedding"]], "check_planarity": [[618, "check-planarity"]], "is_planar": [[619, "is-planar"]], "chromatic_polynomial": [[620, "chromatic-polynomial"]], "tutte_polynomial": [[621, "tutte-polynomial"]], "overall_reciprocity": [[622, "overall-reciprocity"]], "reciprocity": [[623, "reciprocity"]], "is_k_regular": [[624, "is-k-regular"]], "is_regular": [[625, "is-regular"]], "k_factor": [[626, "k-factor"]], "rich_club_coefficient": [[627, "rich-club-coefficient"]], "astar_path": [[628, "astar-path"]], "astar_path_length": [[629, "astar-path-length"]], "floyd_warshall": [[630, "floyd-warshall"]], "floyd_warshall_numpy": [[631, "floyd-warshall-numpy"]], "floyd_warshall_predecessor_and_distance": [[632, "floyd-warshall-predecessor-and-distance"]], "reconstruct_path": [[633, "reconstruct-path"]], "all_shortest_paths": [[634, "all-shortest-paths"]], "average_shortest_path_length": [[635, "average-shortest-path-length"]], "has_path": [[636, "has-path"]], "shortest_path": [[637, "shortest-path"]], "shortest_path_length": [[638, "shortest-path-length"]], "all_pairs_shortest_path": [[639, "all-pairs-shortest-path"]], "all_pairs_shortest_path_length": [[640, "all-pairs-shortest-path-length"]], "bidirectional_shortest_path": [[641, "bidirectional-shortest-path"]], "predecessor": [[642, "predecessor"]], "single_source_shortest_path": [[643, "single-source-shortest-path"]], "single_source_shortest_path_length": [[644, "single-source-shortest-path-length"]], "single_target_shortest_path": [[645, "single-target-shortest-path"]], "single_target_shortest_path_length": [[646, "single-target-shortest-path-length"]], "all_pairs_bellman_ford_path": [[647, "all-pairs-bellman-ford-path"]], "all_pairs_bellman_ford_path_length": [[648, "all-pairs-bellman-ford-path-length"]], "all_pairs_dijkstra": [[649, "all-pairs-dijkstra"]], "all_pairs_dijkstra_path": [[650, "all-pairs-dijkstra-path"]], "all_pairs_dijkstra_path_length": [[651, "all-pairs-dijkstra-path-length"]], "bellman_ford_path": [[652, "bellman-ford-path"]], "bellman_ford_path_length": [[653, "bellman-ford-path-length"]], "bellman_ford_predecessor_and_distance": [[654, "bellman-ford-predecessor-and-distance"]], "bidirectional_dijkstra": [[655, "bidirectional-dijkstra"]], "dijkstra_path": [[656, "dijkstra-path"]], "dijkstra_path_length": [[657, "dijkstra-path-length"]], "dijkstra_predecessor_and_distance": [[658, "dijkstra-predecessor-and-distance"]], "find_negative_cycle": [[659, "find-negative-cycle"]], "goldberg_radzik": [[660, "goldberg-radzik"]], "johnson": [[661, "johnson"]], "multi_source_dijkstra": [[662, "multi-source-dijkstra"]], "multi_source_dijkstra_path": [[663, "multi-source-dijkstra-path"]], "multi_source_dijkstra_path_length": [[664, "multi-source-dijkstra-path-length"]], "negative_edge_cycle": [[665, "negative-edge-cycle"]], "single_source_bellman_ford": [[666, "single-source-bellman-ford"]], "single_source_bellman_ford_path": [[667, "single-source-bellman-ford-path"]], "single_source_bellman_ford_path_length": [[668, "single-source-bellman-ford-path-length"]], "single_source_dijkstra": [[669, "single-source-dijkstra"]], "single_source_dijkstra_path": [[670, "single-source-dijkstra-path"]], "single_source_dijkstra_path_length": [[671, "single-source-dijkstra-path-length"]], "generate_random_paths": [[672, "generate-random-paths"]], "graph_edit_distance": [[673, "graph-edit-distance"]], "optimal_edit_paths": [[674, "optimal-edit-paths"]], "optimize_edit_paths": [[675, "optimize-edit-paths"]], "optimize_graph_edit_distance": [[676, "optimize-graph-edit-distance"]], "panther_similarity": [[677, "panther-similarity"]], "simrank_similarity": [[678, "simrank-similarity"]], "all_simple_edge_paths": [[679, "all-simple-edge-paths"]], "all_simple_paths": [[680, "all-simple-paths"]], "is_simple_path": [[681, "is-simple-path"]], "shortest_simple_paths": [[682, "shortest-simple-paths"]], "lattice_reference": [[683, "lattice-reference"]], "omega": [[684, "omega"]], "random_reference": [[685, "random-reference"]], "sigma": [[686, "sigma"]], "s_metric": [[687, "s-metric"]], "spanner": [[688, "spanner"]], "constraint": [[689, "constraint"]], "effective_size": [[690, "effective-size"]], "local_constraint": [[691, "local-constraint"]], "dedensify": [[692, "dedensify"]], "snap_aggregation": [[693, "snap-aggregation"]], "connected_double_edge_swap": [[694, "connected-double-edge-swap"]], "directed_edge_swap": [[695, "directed-edge-swap"]], "double_edge_swap": [[696, "double-edge-swap"]], "find_threshold_graph": [[697, "find-threshold-graph"]], "is_threshold_graph": [[698, "is-threshold-graph"]], "hamiltonian_path": [[699, "hamiltonian-path"]], "is_reachable": [[700, "is-reachable"]], "is_tournament": [[702, "is-tournament"]], "random_tournament": [[703, "random-tournament"]], "score_sequence": [[704, "score-sequence"]], "bfs_beam_edges": [[705, "bfs-beam-edges"]], "bfs_edges": [[706, "bfs-edges"]], "bfs_layers": [[707, "bfs-layers"]], "bfs_predecessors": [[708, "bfs-predecessors"]], "bfs_successors": [[709, "bfs-successors"]], "bfs_tree": [[710, "bfs-tree"]], "descendants_at_distance": [[711, "descendants-at-distance"]], "dfs_edges": [[712, "dfs-edges"]], "dfs_labeled_edges": [[713, "dfs-labeled-edges"]], "dfs_postorder_nodes": [[714, "dfs-postorder-nodes"]], "dfs_predecessors": [[715, "dfs-predecessors"]], "dfs_preorder_nodes": [[716, "dfs-preorder-nodes"]], "dfs_successors": [[717, "dfs-successors"]], "dfs_tree": [[718, "dfs-tree"]], "edge_bfs": [[719, "edge-bfs"]], "edge_dfs": [[720, "edge-dfs"]], "networkx.algorithms.tree.branchings.ArborescenceIterator": [[721, "networkx-algorithms-tree-branchings-arborescenceiterator"]], "networkx.algorithms.tree.branchings.Edmonds": [[722, "networkx-algorithms-tree-branchings-edmonds"]], "branching_weight": [[723, "branching-weight"]], "greedy_branching": [[724, "greedy-branching"]], "maximum_branching": [[725, "maximum-branching"]], "maximum_spanning_arborescence": [[726, "maximum-spanning-arborescence"]], "minimum_branching": [[727, "minimum-branching"]], "minimum_spanning_arborescence": [[728, "minimum-spanning-arborescence"]], "NotATree": [[729, "notatree"]], "from_nested_tuple": [[730, "from-nested-tuple"]], "from_prufer_sequence": [[731, "from-prufer-sequence"]], "to_nested_tuple": [[732, "to-nested-tuple"]], "to_prufer_sequence": [[733, "to-prufer-sequence"]], "junction_tree": [[734, "junction-tree"]], "networkx.algorithms.tree.mst.SpanningTreeIterator": [[735, "networkx-algorithms-tree-mst-spanningtreeiterator"]], "maximum_spanning_edges": [[736, "maximum-spanning-edges"]], "maximum_spanning_tree": [[737, "maximum-spanning-tree"]], "minimum_spanning_edges": [[738, "minimum-spanning-edges"]], "minimum_spanning_tree": [[739, "minimum-spanning-tree"]], "random_spanning_tree": [[740, "random-spanning-tree"]], "join": [[741, "join"]], "is_arborescence": [[742, "is-arborescence"]], "is_branching": [[743, "is-branching"]], "is_forest": [[744, "is-forest"]], "is_tree": [[745, "is-tree"]], "all_triads": [[746, "all-triads"]], "all_triplets": [[747, "all-triplets"]], "is_triad": [[748, "is-triad"]], "random_triad": [[749, "random-triad"]], "triad_type": [[750, "triad-type"]], "triadic_census": [[751, "triadic-census"]], "triads_by_type": [[752, "triads-by-type"]], "closeness_vitality": [[753, "closeness-vitality"]], "voronoi_cells": [[754, "voronoi-cells"]], "wiener_index": [[755, "wiener-index"]], "Graph Hashing": [[756, "module-networkx.algorithms.graph_hashing"]], "Graphical degree sequence": [[757, "module-networkx.algorithms.graphical"]], "Hierarchy": [[758, "module-networkx.algorithms.hierarchy"]], "Hybrid": [[759, "module-networkx.algorithms.hybrid"]], "Isolates": [[761, "module-networkx.algorithms.isolate"]], "Isomorphism": [[762, "isomorphism"]], "VF2++": [[762, "module-networkx.algorithms.isomorphism.vf2pp"]], "VF2++ Algorithm": [[762, "vf2-algorithm"]], "Tree Isomorphism": [[762, "module-networkx.algorithms.isomorphism.tree_isomorphism"]], "Advanced Interfaces": [[762, "advanced-interfaces"]], "ISMAGS Algorithm": [[763, "module-networkx.algorithms.isomorphism.ismags"]], "Notes": [[763, "notes"], [764, "notes"], [1045, "notes"]], "ISMAGS object": [[763, "ismags-object"]], "VF2 Algorithm": [[764, "module-networkx.algorithms.isomorphism.isomorphvf2"]], "Subgraph Isomorphism": [[764, "subgraph-isomorphism"]], "Graph Matcher": [[764, "graph-matcher"]], "DiGraph Matcher": [[764, "digraph-matcher"]], "Match helpers": [[764, "match-helpers"]], "Link Analysis": [[765, "link-analysis"]], "PageRank": [[765, "module-networkx.algorithms.link_analysis.pagerank_alg"]], "Hits": [[765, "module-networkx.algorithms.link_analysis.hits_alg"]], "Link Prediction": [[766, "module-networkx.algorithms.link_prediction"]], "Lowest Common Ancestor": [[767, "module-networkx.algorithms.lowest_common_ancestors"]], "Minors": [[769, "module-networkx.algorithms.minors"]], "Maximal independent set": [[770, "module-networkx.algorithms.mis"]], "Moral": [[771, "module-networkx.algorithms.moral"]], "Node Classification": [[772, "module-networkx.algorithms.node_classification"]], "non-randomness": [[773, "module-networkx.algorithms.non_randomness"]], "Operators": [[774, "operators"]], "Planar Drawing": [[775, "module-networkx.algorithms.planar_drawing"]], "Planarity": [[776, "module-networkx.algorithms.planarity"]], "Graph Polynomials": [[777, "module-networkx.algorithms.polynomials"]], "Reciprocity": [[778, "module-networkx.algorithms.reciprocity"]], "Regular": [[779, "module-networkx.algorithms.regular"]], "Rich Club": [[780, "module-networkx.algorithms.richclub"]], "Shortest Paths": [[781, "module-networkx.algorithms.shortest_paths.generic"]], "Advanced Interface": [[781, "module-networkx.algorithms.shortest_paths.unweighted"]], "Dense Graphs": [[781, "module-networkx.algorithms.shortest_paths.dense"]], "A* Algorithm": [[781, "module-networkx.algorithms.shortest_paths.astar"]], "Similarity Measures": [[782, "module-networkx.algorithms.similarity"]], "Simple Paths": [[783, "module-networkx.algorithms.simple_paths"]], "Small-world": [[784, "module-networkx.algorithms.smallworld"]], "s metric": [[785, "module-networkx.algorithms.smetric"]], "Sparsifiers": [[786, "module-networkx.algorithms.sparsifiers"]], "Structural holes": [[787, "module-networkx.algorithms.structuralholes"]], "Summarization": [[788, "module-networkx.algorithms.summarization"]], "Swap": [[789, "module-networkx.algorithms.swap"]], "Threshold Graphs": [[790, "module-networkx.algorithms.threshold"]], "Tournament": [[791, "module-networkx.algorithms.tournament"]], "Traversal": [[792, "traversal"]], "Depth First Search": [[792, "module-networkx.algorithms.traversal.depth_first_search"]], "Breadth First Search": [[792, "module-networkx.algorithms.traversal.breadth_first_search"]], "Beam search": [[792, "module-networkx.algorithms.traversal.beamsearch"]], "Depth First Search on Edges": [[792, "module-networkx.algorithms.traversal.edgedfs"]], "Breadth First Search on Edges": [[792, "module-networkx.algorithms.traversal.edgebfs"]], "Tree": [[793, "tree"]], "Recognition": [[793, "module-networkx.algorithms.tree.recognition"]], "Recognition Tests": [[793, "recognition-tests"]], "Branchings and Spanning Arborescences": [[793, "module-networkx.algorithms.tree.branchings"]], "Encoding and decoding": [[793, "module-networkx.algorithms.tree.coding"]], "Operations": [[793, "module-networkx.algorithms.tree.operations"]], "Spanning Trees": [[793, "module-networkx.algorithms.tree.mst"]], "Exceptions": [[793, "exceptions"], [1046, "module-networkx.exception"]], "Vitality": [[795, "module-networkx.algorithms.vitality"]], "Voronoi cells": [[796, "module-networkx.algorithms.voronoi"]], "Wiener index": [[797, "module-networkx.algorithms.wiener"]], "DiGraph\u2014Directed graphs with self loops": [[798, "digraph-directed-graphs-with-self-loops"]], "Overview": [[798, "overview"], [1040, "overview"], [1042, "overview"], [1043, "overview"]], "Methods": [[798, "methods"], [1040, "methods"], [1042, "methods"], [1043, "methods"]], "Adding and removing nodes and edges": [[798, "adding-and-removing-nodes-and-edges"], [1040, "adding-and-removing-nodes-and-edges"], [1043, "adding-and-removing-nodes-and-edges"]], "Reporting nodes edges and neighbors": [[798, "reporting-nodes-edges-and-neighbors"], [1040, "reporting-nodes-edges-and-neighbors"], [1042, "reporting-nodes-edges-and-neighbors"], [1043, "reporting-nodes-edges-and-neighbors"]], "Counting nodes edges and neighbors": [[798, "counting-nodes-edges-and-neighbors"], [1040, "counting-nodes-edges-and-neighbors"], [1042, "counting-nodes-edges-and-neighbors"], [1043, "counting-nodes-edges-and-neighbors"]], "Making copies and subgraphs": [[798, "making-copies-and-subgraphs"], [1040, "making-copies-and-subgraphs"], [1042, "making-copies-and-subgraphs"], [1043, "making-copies-and-subgraphs"]], "AdjacencyView.copy": [[799, "adjacencyview-copy"]], "AdjacencyView.get": [[800, "adjacencyview-get"]], "AdjacencyView.items": [[801, "adjacencyview-items"]], "AdjacencyView.keys": [[802, "adjacencyview-keys"]], "AdjacencyView.values": [[803, "adjacencyview-values"]], "AtlasView.copy": [[804, "atlasview-copy"]], "AtlasView.get": [[805, "atlasview-get"]], "AtlasView.items": [[806, "atlasview-items"]], "AtlasView.keys": [[807, "atlasview-keys"]], "AtlasView.values": [[808, "atlasview-values"]], "FilterAdjacency.get": [[809, "filteradjacency-get"]], "FilterAdjacency.items": [[810, "filteradjacency-items"]], "FilterAdjacency.keys": [[811, "filteradjacency-keys"]], "FilterAdjacency.values": [[812, "filteradjacency-values"]], "FilterAtlas.get": [[813, "filteratlas-get"]], "FilterAtlas.items": [[814, "filteratlas-items"]], "FilterAtlas.keys": [[815, "filteratlas-keys"]], "FilterAtlas.values": [[816, "filteratlas-values"]], "FilterMultiAdjacency.get": [[817, "filtermultiadjacency-get"]], "FilterMultiAdjacency.items": [[818, "filtermultiadjacency-items"]], "FilterMultiAdjacency.keys": [[819, "filtermultiadjacency-keys"]], "FilterMultiAdjacency.values": [[820, "filtermultiadjacency-values"]], "FilterMultiInner.get": [[821, "filtermultiinner-get"]], "FilterMultiInner.items": [[822, "filtermultiinner-items"]], "FilterMultiInner.keys": [[823, "filtermultiinner-keys"]], "FilterMultiInner.values": [[824, "filtermultiinner-values"]], "MultiAdjacencyView.copy": [[825, "multiadjacencyview-copy"]], "MultiAdjacencyView.get": [[826, "multiadjacencyview-get"]], "MultiAdjacencyView.items": [[827, "multiadjacencyview-items"]], "MultiAdjacencyView.keys": [[828, "multiadjacencyview-keys"]], "MultiAdjacencyView.values": [[829, "multiadjacencyview-values"]], "UnionAdjacency.copy": [[830, "unionadjacency-copy"]], "UnionAdjacency.get": [[831, "unionadjacency-get"]], "UnionAdjacency.items": [[832, "unionadjacency-items"]], "UnionAdjacency.keys": [[833, "unionadjacency-keys"]], "UnionAdjacency.values": [[834, "unionadjacency-values"]], "UnionAtlas.copy": [[835, "unionatlas-copy"]], "UnionAtlas.get": [[836, "unionatlas-get"]], "UnionAtlas.items": [[837, "unionatlas-items"]], "UnionAtlas.keys": [[838, "unionatlas-keys"]], "UnionAtlas.values": [[839, "unionatlas-values"]], "UnionMultiAdjacency.copy": [[840, "unionmultiadjacency-copy"]], "UnionMultiAdjacency.get": [[841, "unionmultiadjacency-get"]], "UnionMultiAdjacency.items": [[842, "unionmultiadjacency-items"]], "UnionMultiAdjacency.keys": [[843, "unionmultiadjacency-keys"]], "UnionMultiAdjacency.values": [[844, "unionmultiadjacency-values"]], "UnionMultiInner.copy": [[845, "unionmultiinner-copy"]], "UnionMultiInner.get": [[846, "unionmultiinner-get"]], "UnionMultiInner.items": [[847, "unionmultiinner-items"]], "UnionMultiInner.keys": [[848, "unionmultiinner-keys"]], "UnionMultiInner.values": [[849, "unionmultiinner-values"]], "DiGraph.__contains__": [[850, "digraph-contains"]], "DiGraph.__getitem__": [[851, "digraph-getitem"]], "DiGraph.__init__": [[852, "digraph-init"]], "DiGraph.__iter__": [[853, "digraph-iter"]], "DiGraph.__len__": [[854, "digraph-len"]], "DiGraph.add_edge": [[855, "digraph-add-edge"]], "DiGraph.add_edges_from": [[856, "digraph-add-edges-from"]], "DiGraph.add_node": [[857, "digraph-add-node"]], "DiGraph.add_nodes_from": [[858, "digraph-add-nodes-from"]], "DiGraph.add_weighted_edges_from": [[859, "digraph-add-weighted-edges-from"]], "DiGraph.adj": [[860, "digraph-adj"]], "DiGraph.adjacency": [[861, "digraph-adjacency"]], "DiGraph.clear": [[862, "digraph-clear"]], "DiGraph.clear_edges": [[863, "digraph-clear-edges"]], "DiGraph.copy": [[864, "digraph-copy"]], "DiGraph.degree": [[865, "digraph-degree"]], "DiGraph.edge_subgraph": [[866, "digraph-edge-subgraph"]], "DiGraph.edges": [[867, "digraph-edges"]], "DiGraph.get_edge_data": [[868, "digraph-get-edge-data"]], "DiGraph.has_edge": [[869, "digraph-has-edge"]], "DiGraph.has_node": [[870, "digraph-has-node"]], "DiGraph.in_degree": [[871, "digraph-in-degree"]], "DiGraph.in_edges": [[872, "digraph-in-edges"]], "DiGraph.nbunch_iter": [[873, "digraph-nbunch-iter"]], "DiGraph.neighbors": [[874, "digraph-neighbors"]], "DiGraph.nodes": [[875, "digraph-nodes"]], "DiGraph.number_of_edges": [[876, "digraph-number-of-edges"]], "DiGraph.number_of_nodes": [[877, "digraph-number-of-nodes"]], "DiGraph.order": [[878, "digraph-order"]], "DiGraph.out_degree": [[879, "digraph-out-degree"]], "DiGraph.out_edges": [[880, "digraph-out-edges"]], "DiGraph.pred": [[881, "digraph-pred"]], "DiGraph.predecessors": [[882, "digraph-predecessors"]], "DiGraph.remove_edge": [[883, "digraph-remove-edge"]], "DiGraph.remove_edges_from": [[884, "digraph-remove-edges-from"]], "DiGraph.remove_node": [[885, "digraph-remove-node"]], "DiGraph.remove_nodes_from": [[886, "digraph-remove-nodes-from"]], "DiGraph.reverse": [[887, "digraph-reverse"]], "DiGraph.size": [[888, "digraph-size"]], "DiGraph.subgraph": [[889, "digraph-subgraph"]], "DiGraph.succ": [[890, "digraph-succ"]], "DiGraph.successors": [[891, "digraph-successors"]], "DiGraph.to_directed": [[892, "digraph-to-directed"]], "DiGraph.to_undirected": [[893, "digraph-to-undirected"]], "DiGraph.update": [[894, "digraph-update"]], "Graph.__contains__": [[895, "graph-contains"]], "Graph.__getitem__": [[896, "graph-getitem"]], "Graph.__init__": [[897, "graph-init"]], "Graph.__iter__": [[898, "graph-iter"]], "Graph.__len__": [[899, "graph-len"]], "Graph.add_edge": [[900, "graph-add-edge"]], "Graph.add_edges_from": [[901, "graph-add-edges-from"]], "Graph.add_node": [[902, "graph-add-node"]], "Graph.add_nodes_from": [[903, "graph-add-nodes-from"]], "Graph.add_weighted_edges_from": [[904, "graph-add-weighted-edges-from"]], "Graph.adj": [[905, "graph-adj"]], "Graph.adjacency": [[906, "graph-adjacency"]], "Graph.clear": [[907, "graph-clear"]], "Graph.clear_edges": [[908, "graph-clear-edges"]], "Graph.copy": [[909, "graph-copy"]], "Graph.degree": [[910, "graph-degree"]], "Graph.edge_subgraph": [[911, "graph-edge-subgraph"]], "Graph.edges": [[912, "graph-edges"]], "Graph.get_edge_data": [[913, "graph-get-edge-data"]], "Graph.has_edge": [[914, "graph-has-edge"]], "Graph.has_node": [[915, "graph-has-node"]], "Graph.nbunch_iter": [[916, "graph-nbunch-iter"]], "Graph.neighbors": [[917, "graph-neighbors"]], "Graph.nodes": [[918, "graph-nodes"]], "Graph.number_of_edges": [[919, "graph-number-of-edges"]], "Graph.number_of_nodes": [[920, "graph-number-of-nodes"]], "Graph.order": [[921, "graph-order"]], "Graph.remove_edge": [[922, "graph-remove-edge"]], "Graph.remove_edges_from": [[923, "graph-remove-edges-from"]], "Graph.remove_node": [[924, "graph-remove-node"]], "Graph.remove_nodes_from": [[925, "graph-remove-nodes-from"]], "Graph.size": [[926, "graph-size"]], "Graph.subgraph": [[927, "graph-subgraph"]], "Graph.to_directed": [[928, "graph-to-directed"]], "Graph.to_undirected": [[929, "graph-to-undirected"]], "Graph.update": [[930, "graph-update"]], "MultiDiGraph.__contains__": [[931, "multidigraph-contains"]], "MultiDiGraph.__getitem__": [[932, "multidigraph-getitem"]], "MultiDiGraph.__init__": [[933, "multidigraph-init"]], "MultiDiGraph.__iter__": [[934, "multidigraph-iter"]], "MultiDiGraph.__len__": [[935, "multidigraph-len"]], "MultiDiGraph.add_edge": [[936, "multidigraph-add-edge"]], "MultiDiGraph.add_edges_from": [[937, "multidigraph-add-edges-from"]], "MultiDiGraph.add_node": [[938, "multidigraph-add-node"]], "MultiDiGraph.add_nodes_from": [[939, "multidigraph-add-nodes-from"]], "MultiDiGraph.add_weighted_edges_from": [[940, "multidigraph-add-weighted-edges-from"]], "MultiDiGraph.adj": [[941, "multidigraph-adj"]], "MultiDiGraph.adjacency": [[942, "multidigraph-adjacency"]], "MultiDiGraph.clear": [[943, "multidigraph-clear"]], "MultiDiGraph.clear_edges": [[944, "multidigraph-clear-edges"]], "MultiDiGraph.copy": [[945, "multidigraph-copy"]], "MultiDiGraph.degree": [[946, "multidigraph-degree"]], "MultiDiGraph.edge_subgraph": [[947, "multidigraph-edge-subgraph"]], "MultiDiGraph.edges": [[948, "multidigraph-edges"]], "MultiDiGraph.get_edge_data": [[949, "multidigraph-get-edge-data"]], "MultiDiGraph.has_edge": [[950, "multidigraph-has-edge"]], "MultiDiGraph.has_node": [[951, "multidigraph-has-node"]], "MultiDiGraph.in_degree": [[952, "multidigraph-in-degree"]], "MultiDiGraph.in_edges": [[953, "multidigraph-in-edges"]], "MultiDiGraph.nbunch_iter": [[954, "multidigraph-nbunch-iter"]], "MultiDiGraph.neighbors": [[955, "multidigraph-neighbors"]], "MultiDiGraph.new_edge_key": [[956, "multidigraph-new-edge-key"]], "MultiDiGraph.nodes": [[957, "multidigraph-nodes"]], "MultiDiGraph.number_of_edges": [[958, "multidigraph-number-of-edges"]], "MultiDiGraph.number_of_nodes": [[959, "multidigraph-number-of-nodes"]], "MultiDiGraph.order": [[960, "multidigraph-order"]], "MultiDiGraph.out_degree": [[961, "multidigraph-out-degree"]], "MultiDiGraph.out_edges": [[962, "multidigraph-out-edges"]], "MultiDiGraph.pred": [[963, "multidigraph-pred"]], "MultiDiGraph.predecessors": [[964, "multidigraph-predecessors"]], "MultiDiGraph.remove_edge": [[965, "multidigraph-remove-edge"]], "MultiDiGraph.remove_edges_from": [[966, "multidigraph-remove-edges-from"]], "MultiDiGraph.remove_node": [[967, "multidigraph-remove-node"]], "MultiDiGraph.remove_nodes_from": [[968, "multidigraph-remove-nodes-from"]], "MultiDiGraph.reverse": [[969, "multidigraph-reverse"]], "MultiDiGraph.size": [[970, "multidigraph-size"]], "MultiDiGraph.subgraph": [[971, "multidigraph-subgraph"]], "MultiDiGraph.succ": [[972, "multidigraph-succ"]], "MultiDiGraph.successors": [[973, "multidigraph-successors"]], "MultiDiGraph.to_directed": [[974, "multidigraph-to-directed"]], "MultiDiGraph.to_undirected": [[975, "multidigraph-to-undirected"]], "MultiDiGraph.update": [[976, "multidigraph-update"]], "MultiGraph.__contains__": [[977, "multigraph-contains"]], "MultiGraph.__getitem__": [[978, "multigraph-getitem"]], "MultiGraph.__init__": [[979, "multigraph-init"]], "MultiGraph.__iter__": [[980, "multigraph-iter"]], "MultiGraph.__len__": [[981, "multigraph-len"]], "MultiGraph.add_edge": [[982, "multigraph-add-edge"]], "MultiGraph.add_edges_from": [[983, "multigraph-add-edges-from"]], "MultiGraph.add_node": [[984, "multigraph-add-node"]], "MultiGraph.add_nodes_from": [[985, "multigraph-add-nodes-from"]], "MultiGraph.add_weighted_edges_from": [[986, "multigraph-add-weighted-edges-from"]], "MultiGraph.adj": [[987, "multigraph-adj"]], "MultiGraph.adjacency": [[988, "multigraph-adjacency"]], "MultiGraph.clear": [[989, "multigraph-clear"]], "MultiGraph.clear_edges": [[990, "multigraph-clear-edges"]], "MultiGraph.copy": [[991, "multigraph-copy"]], "MultiGraph.degree": [[992, "multigraph-degree"]], "MultiGraph.edge_subgraph": [[993, "multigraph-edge-subgraph"]], "MultiGraph.edges": [[994, "multigraph-edges"]], "MultiGraph.get_edge_data": [[995, "multigraph-get-edge-data"]], "MultiGraph.has_edge": [[996, "multigraph-has-edge"]], "MultiGraph.has_node": [[997, "multigraph-has-node"]], "MultiGraph.nbunch_iter": [[998, "multigraph-nbunch-iter"]], "MultiGraph.neighbors": [[999, "multigraph-neighbors"]], "MultiGraph.new_edge_key": [[1000, "multigraph-new-edge-key"]], "MultiGraph.nodes": [[1001, "multigraph-nodes"]], "MultiGraph.number_of_edges": [[1002, "multigraph-number-of-edges"]], "MultiGraph.number_of_nodes": [[1003, "multigraph-number-of-nodes"]], "MultiGraph.order": [[1004, "multigraph-order"]], "MultiGraph.remove_edge": [[1005, "multigraph-remove-edge"]], "MultiGraph.remove_edges_from": [[1006, "multigraph-remove-edges-from"]], "MultiGraph.remove_node": [[1007, "multigraph-remove-node"]], "MultiGraph.remove_nodes_from": [[1008, "multigraph-remove-nodes-from"]], "MultiGraph.size": [[1009, "multigraph-size"]], "MultiGraph.subgraph": [[1010, "multigraph-subgraph"]], "MultiGraph.to_directed": [[1011, "multigraph-to-directed"]], "MultiGraph.to_undirected": [[1012, "multigraph-to-undirected"]], "MultiGraph.update": [[1013, "multigraph-update"]], "_dispatch": [[1014, "dispatch"]], "networkx.classes.coreviews.AdjacencyView": [[1015, "networkx-classes-coreviews-adjacencyview"]], "networkx.classes.coreviews.AtlasView": [[1016, "networkx-classes-coreviews-atlasview"]], "networkx.classes.coreviews.FilterAdjacency": [[1017, "networkx-classes-coreviews-filteradjacency"]], "networkx.classes.coreviews.FilterAtlas": [[1018, "networkx-classes-coreviews-filteratlas"]], "networkx.classes.coreviews.FilterMultiAdjacency": [[1019, "networkx-classes-coreviews-filtermultiadjacency"]], "networkx.classes.coreviews.FilterMultiInner": [[1020, "networkx-classes-coreviews-filtermultiinner"]], "networkx.classes.coreviews.MultiAdjacencyView": [[1021, "networkx-classes-coreviews-multiadjacencyview"]], "networkx.classes.coreviews.UnionAdjacency": [[1022, "networkx-classes-coreviews-unionadjacency"]], "networkx.classes.coreviews.UnionAtlas": [[1023, "networkx-classes-coreviews-unionatlas"]], "networkx.classes.coreviews.UnionMultiAdjacency": [[1024, "networkx-classes-coreviews-unionmultiadjacency"]], "networkx.classes.coreviews.UnionMultiInner": [[1025, "networkx-classes-coreviews-unionmultiinner"]], "hide_diedges": [[1026, "hide-diedges"]], "hide_edges": [[1027, "hide-edges"]], "hide_multidiedges": [[1028, "hide-multidiedges"]], "hide_multiedges": [[1029, "hide-multiedges"]], "hide_nodes": [[1030, "hide-nodes"]], "no_filter": [[1031, "no-filter"]], "show_diedges": [[1032, "show-diedges"]], "show_edges": [[1033, "show-edges"]], "show_multidiedges": [[1034, "show-multidiedges"]], "show_multiedges": [[1035, "show-multiedges"]], "networkx.classes.filters.show_nodes": [[1036, "networkx-classes-filters-show-nodes"]], "generic_graph_view": [[1037, "generic-graph-view"]], "reverse_view": [[1038, "reverse-view"], [1086, "reverse-view"]], "subgraph_view": [[1039, "subgraph-view"], [1091, "subgraph-view"]], "Graph\u2014Undirected graphs with self loops": [[1040, "graph-undirected-graphs-with-self-loops"]], "Graph types": [[1041, "graph-types"]], "Which graph class should I use?": [[1041, "which-graph-class-should-i-use"]], "Basic graph types": [[1041, "basic-graph-types"]], "Graph Views": [[1041, "module-networkx.classes.graphviews"]], "Core Views": [[1041, "module-networkx.classes.coreviews"]], "Filters": [[1041, "filters"]], "Backends": [[1041, "backends"]], "Create a Dispatcher": [[1041, "create-a-dispatcher"]], "MultiDiGraph\u2014Directed graphs with self loops and parallel edges": [[1042, "multidigraph-directed-graphs-with-self-loops-and-parallel-edges"]], "Adding and Removing Nodes and Edges": [[1042, "adding-and-removing-nodes-and-edges"]], "MultiGraph\u2014Undirected graphs with self loops and parallel edges": [[1043, "multigraph-undirected-graphs-with-self-loops-and-parallel-edges"]], "Converting to and from other data formats": [[1044, "converting-to-and-from-other-data-formats"]], "To NetworkX Graph": [[1044, "module-networkx.convert"]], "Dictionaries": [[1044, "dictionaries"]], "Lists": [[1044, "lists"]], "Numpy": [[1044, "module-networkx.convert_matrix"]], "Scipy": [[1044, "scipy"]], "Pandas": [[1044, "pandas"]], "Matplotlib": [[1045, "module-networkx.drawing.nx_pylab"]], "Graphviz AGraph (dot)": [[1045, "module-networkx.drawing.nx_agraph"]], "Graphviz with pydot": [[1045, "module-networkx.drawing.nx_pydot"]], "Graph Layout": [[1045, "module-networkx.drawing.layout"]], "LaTeX Code": [[1045, "module-networkx.drawing.nx_latex"]], "The TikZ approach": [[1045, "the-tikz-approach"]], "Functions": [[1047, "module-networkx.classes.function"]], "Nodes": [[1047, "nodes"], [1436, "nodes"]], "Edges": [[1047, "edges"], [1436, "edges"]], "Self loops": [[1047, "self-loops"]], "Paths": [[1047, "paths"]], "Freezing graph structure": [[1047, "freezing-graph-structure"]], "argmap.assemble": [[1048, "argmap-assemble"]], "argmap.compile": [[1049, "argmap-compile"]], "argmap.signature": [[1050, "argmap-signature"]], "MappedQueue.pop": [[1051, "mappedqueue-pop"]], "MappedQueue.push": [[1052, "mappedqueue-push"]], "MappedQueue.remove": [[1053, "mappedqueue-remove"]], "MappedQueue.update": [[1054, "mappedqueue-update"]], "add_cycle": [[1055, "add-cycle"]], "add_path": [[1056, "add-path"]], "add_star": [[1057, "add-star"]], "all_neighbors": [[1058, "all-neighbors"]], "common_neighbors": [[1059, "common-neighbors"]], "create_empty_copy": [[1060, "create-empty-copy"]], "degree": [[1061, "degree"]], "degree_histogram": [[1062, "degree-histogram"]], "edge_subgraph": [[1064, "edge-subgraph"]], "edges": [[1065, "edges"]], "freeze": [[1066, "freeze"]], "get_edge_attributes": [[1067, "get-edge-attributes"]], "get_node_attributes": [[1068, "get-node-attributes"]], "induced_subgraph": [[1069, "induced-subgraph"]], "is_directed": [[1070, "is-directed"]], "is_empty": [[1071, "is-empty"]], "is_frozen": [[1072, "is-frozen"]], "is_negatively_weighted": [[1073, "is-negatively-weighted"]], "is_path": [[1074, "is-path"]], "is_weighted": [[1075, "is-weighted"]], "neighbors": [[1076, "neighbors"]], "nodes": [[1077, "nodes"]], "nodes_with_selfloops": [[1078, "nodes-with-selfloops"]], "non_edges": [[1079, "non-edges"]], "non_neighbors": [[1080, "non-neighbors"]], "number_of_edges": [[1081, "number-of-edges"]], "number_of_nodes": [[1082, "number-of-nodes"]], "number_of_selfloops": [[1083, "number-of-selfloops"]], "path_weight": [[1084, "path-weight"]], "restricted_view": [[1085, "restricted-view"]], "selfloop_edges": [[1087, "selfloop-edges"]], "set_edge_attributes": [[1088, "set-edge-attributes"]], "set_node_attributes": [[1089, "set-node-attributes"]], "subgraph": [[1090, "subgraph"]], "to_directed": [[1092, "to-directed"]], "to_undirected": [[1093, "to-undirected"]], "from_dict_of_dicts": [[1094, "from-dict-of-dicts"]], "from_dict_of_lists": [[1095, "from-dict-of-lists"]], "from_edgelist": [[1096, "from-edgelist"]], "to_dict_of_dicts": [[1097, "to-dict-of-dicts"]], "to_dict_of_lists": [[1098, "to-dict-of-lists"]], "to_edgelist": [[1099, "to-edgelist"]], "to_networkx_graph": [[1100, "to-networkx-graph"]], "from_numpy_array": [[1101, "from-numpy-array"]], "from_pandas_adjacency": [[1102, "from-pandas-adjacency"]], "from_pandas_edgelist": [[1103, "from-pandas-edgelist"]], "from_scipy_sparse_array": [[1104, "from-scipy-sparse-array"]], "to_numpy_array": [[1105, "to-numpy-array"]], "to_pandas_adjacency": [[1106, "to-pandas-adjacency"]], "to_pandas_edgelist": [[1107, "to-pandas-edgelist"]], "to_scipy_sparse_array": [[1108, "to-scipy-sparse-array"]], "bipartite_layout": [[1109, "bipartite-layout"]], "circular_layout": [[1110, "circular-layout"]], "kamada_kawai_layout": [[1111, "kamada-kawai-layout"]], "multipartite_layout": [[1112, "multipartite-layout"]], "planar_layout": [[1113, "planar-layout"]], "random_layout": [[1114, "random-layout"]], "rescale_layout": [[1115, "rescale-layout"]], "rescale_layout_dict": [[1116, "rescale-layout-dict"]], "shell_layout": [[1117, "shell-layout"]], "spectral_layout": [[1118, "spectral-layout"]], "spiral_layout": [[1119, "spiral-layout"]], "spring_layout": [[1120, "spring-layout"]], "from_agraph": [[1121, "from-agraph"]], "graphviz_layout": [[1122, "graphviz-layout"], [1131, "graphviz-layout"]], "pygraphviz_layout": [[1123, "pygraphviz-layout"]], "read_dot": [[1124, "read-dot"], [1133, "read-dot"]], "to_agraph": [[1125, "to-agraph"]], "write_dot": [[1126, "write-dot"], [1135, "write-dot"]], "to_latex": [[1127, "to-latex"]], "to_latex_raw": [[1128, "to-latex-raw"]], "write_latex": [[1129, "write-latex"]], "from_pydot": [[1130, "from-pydot"]], "pydot_layout": [[1132, "pydot-layout"]], "to_pydot": [[1134, "to-pydot"]], "draw": [[1136, "draw"]], "draw_circular": [[1137, "draw-circular"]], "draw_kamada_kawai": [[1138, "draw-kamada-kawai"]], "draw_networkx": [[1139, "draw-networkx"]], "draw_networkx_edge_labels": [[1140, "draw-networkx-edge-labels"]], "draw_networkx_edges": [[1141, "draw-networkx-edges"]], "draw_networkx_labels": [[1142, "draw-networkx-labels"]], "draw_networkx_nodes": [[1143, "draw-networkx-nodes"]], "draw_planar": [[1144, "draw-planar"]], "draw_random": [[1145, "draw-random"]], "draw_shell": [[1146, "draw-shell"]], "draw_spectral": [[1147, "draw-spectral"]], "draw_spring": [[1148, "draw-spring"]], "graph_atlas": [[1149, "graph-atlas"]], "graph_atlas_g": [[1150, "graph-atlas-g"]], "balanced_tree": [[1151, "balanced-tree"]], "barbell_graph": [[1152, "barbell-graph"]], "binomial_tree": [[1153, "binomial-tree"]], "circulant_graph": [[1154, "circulant-graph"]], "circular_ladder_graph": [[1155, "circular-ladder-graph"]], "complete_graph": [[1156, "complete-graph"]], "complete_multipartite_graph": [[1157, "complete-multipartite-graph"]], "cycle_graph": [[1158, "cycle-graph"]], "dorogovtsev_goltsev_mendes_graph": [[1159, "dorogovtsev-goltsev-mendes-graph"]], "empty_graph": [[1160, "empty-graph"]], "full_rary_tree": [[1161, "full-rary-tree"]], "ladder_graph": [[1162, "ladder-graph"]], "lollipop_graph": [[1163, "lollipop-graph"]], "null_graph": [[1164, "null-graph"]], "path_graph": [[1165, "path-graph"]], "star_graph": [[1166, "star-graph"]], "trivial_graph": [[1167, "trivial-graph"]], "turan_graph": [[1168, "turan-graph"]], "wheel_graph": [[1169, "wheel-graph"]], "random_cograph": [[1170, "random-cograph"]], "LFR_benchmark_graph": [[1171, "lfr-benchmark-graph"]], "caveman_graph": [[1172, "caveman-graph"]], "connected_caveman_graph": [[1173, "connected-caveman-graph"]], "gaussian_random_partition_graph": [[1174, "gaussian-random-partition-graph"]], "planted_partition_graph": [[1175, "planted-partition-graph"]], "random_partition_graph": [[1176, "random-partition-graph"]], "relaxed_caveman_graph": [[1177, "relaxed-caveman-graph"]], "ring_of_cliques": [[1178, "ring-of-cliques"]], "stochastic_block_model": [[1179, "stochastic-block-model"]], "windmill_graph": [[1180, "windmill-graph"]], "degree_sequence_tree": [[1182, "degree-sequence-tree"]], "directed_configuration_model": [[1183, "directed-configuration-model"]], "directed_havel_hakimi_graph": [[1184, "directed-havel-hakimi-graph"]], "expected_degree_graph": [[1185, "expected-degree-graph"]], "random_degree_sequence_graph": [[1187, "random-degree-sequence-graph"]], "gn_graph": [[1188, "gn-graph"]], "gnc_graph": [[1189, "gnc-graph"]], "gnr_graph": [[1190, "gnr-graph"]], "random_k_out_graph": [[1191, "random-k-out-graph"]], "scale_free_graph": [[1192, "scale-free-graph"]], "duplication_divergence_graph": [[1193, "duplication-divergence-graph"]], "partial_duplication_graph": [[1194, "partial-duplication-graph"]], "ego_graph": [[1195, "ego-graph"]], "chordal_cycle_graph": [[1196, "chordal-cycle-graph"]], "margulis_gabber_galil_graph": [[1197, "margulis-gabber-galil-graph"]], "paley_graph": [[1198, "paley-graph"]], "geographical_threshold_graph": [[1199, "geographical-threshold-graph"]], "geometric_edges": [[1200, "geometric-edges"]], "navigable_small_world_graph": [[1201, "navigable-small-world-graph"]], "random_geometric_graph": [[1202, "random-geometric-graph"]], "soft_random_geometric_graph": [[1203, "soft-random-geometric-graph"]], "thresholded_random_geometric_graph": [[1204, "thresholded-random-geometric-graph"]], "waxman_graph": [[1205, "waxman-graph"]], "hkn_harary_graph": [[1206, "hkn-harary-graph"]], "hnm_harary_graph": [[1207, "hnm-harary-graph"]], "random_internet_as_graph": [[1208, "random-internet-as-graph"]], "general_random_intersection_graph": [[1209, "general-random-intersection-graph"]], "k_random_intersection_graph": [[1210, "k-random-intersection-graph"]], "uniform_random_intersection_graph": [[1211, "uniform-random-intersection-graph"]], "interval_graph": [[1212, "interval-graph"]], "directed_joint_degree_graph": [[1213, "directed-joint-degree-graph"]], "is_valid_directed_joint_degree": [[1214, "is-valid-directed-joint-degree"]], "is_valid_joint_degree": [[1215, "is-valid-joint-degree"]], "joint_degree_graph": [[1216, "joint-degree-graph"]], "grid_2d_graph": [[1217, "grid-2d-graph"]], "grid_graph": [[1218, "grid-graph"]], "hexagonal_lattice_graph": [[1219, "hexagonal-lattice-graph"]], "hypercube_graph": [[1220, "hypercube-graph"]], "triangular_lattice_graph": [[1221, "triangular-lattice-graph"]], "inverse_line_graph": [[1222, "inverse-line-graph"]], "line_graph": [[1223, "line-graph"]], "mycielski_graph": [[1224, "mycielski-graph"]], "mycielskian": [[1225, "mycielskian"]], "nonisomorphic_trees": [[1226, "nonisomorphic-trees"]], "number_of_nonisomorphic_trees": [[1227, "number-of-nonisomorphic-trees"]], "random_clustered_graph": [[1228, "random-clustered-graph"]], "barabasi_albert_graph": [[1229, "barabasi-albert-graph"]], "binomial_graph": [[1230, "binomial-graph"]], "connected_watts_strogatz_graph": [[1231, "connected-watts-strogatz-graph"]], "dense_gnm_random_graph": [[1232, "dense-gnm-random-graph"]], "dual_barabasi_albert_graph": [[1233, "dual-barabasi-albert-graph"]], "erdos_renyi_graph": [[1234, "erdos-renyi-graph"]], "extended_barabasi_albert_graph": [[1235, "extended-barabasi-albert-graph"]], "fast_gnp_random_graph": [[1236, "fast-gnp-random-graph"]], "gnm_random_graph": [[1237, "gnm-random-graph"]], "gnp_random_graph": [[1238, "gnp-random-graph"]], "newman_watts_strogatz_graph": [[1239, "newman-watts-strogatz-graph"]], "powerlaw_cluster_graph": [[1240, "powerlaw-cluster-graph"]], "random_kernel_graph": [[1241, "random-kernel-graph"]], "random_lobster": [[1242, "random-lobster"]], "random_powerlaw_tree": [[1243, "random-powerlaw-tree"]], "random_powerlaw_tree_sequence": [[1244, "random-powerlaw-tree-sequence"]], "random_regular_graph": [[1245, "random-regular-graph"]], "random_shell_graph": [[1246, "random-shell-graph"]], "watts_strogatz_graph": [[1247, "watts-strogatz-graph"]], "LCF_graph": [[1248, "lcf-graph"]], "bull_graph": [[1249, "bull-graph"]], "chvatal_graph": [[1250, "chvatal-graph"]], "cubical_graph": [[1251, "cubical-graph"]], "desargues_graph": [[1252, "desargues-graph"]], "diamond_graph": [[1253, "diamond-graph"]], "dodecahedral_graph": [[1254, "dodecahedral-graph"]], "frucht_graph": [[1255, "frucht-graph"]], "heawood_graph": [[1256, "heawood-graph"]], "hoffman_singleton_graph": [[1257, "hoffman-singleton-graph"]], "house_graph": [[1258, "house-graph"]], "house_x_graph": [[1259, "house-x-graph"]], "icosahedral_graph": [[1260, "icosahedral-graph"]], "krackhardt_kite_graph": [[1261, "krackhardt-kite-graph"]], "moebius_kantor_graph": [[1262, "moebius-kantor-graph"]], "octahedral_graph": [[1263, "octahedral-graph"]], "pappus_graph": [[1264, "pappus-graph"]], "petersen_graph": [[1265, "petersen-graph"]], "sedgewick_maze_graph": [[1266, "sedgewick-maze-graph"]], "tetrahedral_graph": [[1267, "tetrahedral-graph"]], "truncated_cube_graph": [[1268, "truncated-cube-graph"]], "truncated_tetrahedron_graph": [[1269, "truncated-tetrahedron-graph"]], "tutte_graph": [[1270, "tutte-graph"]], "davis_southern_women_graph": [[1271, "davis-southern-women-graph"]], "florentine_families_graph": [[1272, "florentine-families-graph"]], "karate_club_graph": [[1273, "karate-club-graph"]], "les_miserables_graph": [[1274, "les-miserables-graph"]], "spectral_graph_forge": [[1275, "spectral-graph-forge"]], "stochastic_graph": [[1276, "stochastic-graph"]], "sudoku_graph": [[1277, "sudoku-graph"]], "prefix_tree": [[1278, "prefix-tree"]], "random_tree": [[1279, "random-tree"]], "triad_graph": [[1280, "triad-graph"]], "algebraic_connectivity": [[1281, "algebraic-connectivity"]], "fiedler_vector": [[1282, "fiedler-vector"]], "spectral_ordering": [[1283, "spectral-ordering"]], "attr_matrix": [[1284, "attr-matrix"]], "attr_sparse_matrix": [[1285, "attr-sparse-matrix"]], "bethe_hessian_matrix": [[1286, "bethe-hessian-matrix"]], "adjacency_matrix": [[1287, "adjacency-matrix"]], "incidence_matrix": [[1288, "incidence-matrix"]], "directed_combinatorial_laplacian_matrix": [[1289, "directed-combinatorial-laplacian-matrix"]], "directed_laplacian_matrix": [[1290, "directed-laplacian-matrix"]], "laplacian_matrix": [[1291, "laplacian-matrix"]], "normalized_laplacian_matrix": [[1292, "normalized-laplacian-matrix"]], "directed_modularity_matrix": [[1293, "directed-modularity-matrix"]], "modularity_matrix": [[1294, "modularity-matrix"]], "adjacency_spectrum": [[1295, "adjacency-spectrum"]], "bethe_hessian_spectrum": [[1296, "bethe-hessian-spectrum"]], "laplacian_spectrum": [[1297, "laplacian-spectrum"]], "modularity_spectrum": [[1298, "modularity-spectrum"]], "normalized_laplacian_spectrum": [[1299, "normalized-laplacian-spectrum"]], "convert_node_labels_to_integers": [[1300, "convert-node-labels-to-integers"]], "relabel_nodes": [[1301, "relabel-nodes"]], "networkx.utils.decorators.argmap": [[1302, "networkx-utils-decorators-argmap"]], "nodes_or_number": [[1303, "nodes-or-number"]], "not_implemented_for": [[1304, "not-implemented-for"]], "np_random_state": [[1305, "np-random-state"]], "open_file": [[1306, "open-file"]], "py_random_state": [[1307, "py-random-state"]], "networkx.utils.mapped_queue.MappedQueue": [[1308, "networkx-utils-mapped-queue-mappedqueue"]], "arbitrary_element": [[1309, "arbitrary-element"]], "create_py_random_state": [[1310, "create-py-random-state"]], "create_random_state": [[1311, "create-random-state"]], "dict_to_numpy_array": [[1312, "dict-to-numpy-array"]], "edges_equal": [[1313, "edges-equal"]], "flatten": [[1314, "flatten"]], "graphs_equal": [[1315, "graphs-equal"]], "groups": [[1316, "groups"]], "make_list_of_ints": [[1317, "make-list-of-ints"]], "nodes_equal": [[1318, "nodes-equal"]], "pairwise": [[1319, "pairwise"]], "cumulative_distribution": [[1320, "cumulative-distribution"]], "discrete_sequence": [[1321, "discrete-sequence"]], "powerlaw_sequence": [[1322, "powerlaw-sequence"]], "random_weighted_sample": [[1323, "random-weighted-sample"]], "weighted_choice": [[1324, "weighted-choice"]], "zipf_rv": [[1325, "zipf-rv"]], "cuthill_mckee_ordering": [[1326, "cuthill-mckee-ordering"]], "reverse_cuthill_mckee_ordering": [[1327, "reverse-cuthill-mckee-ordering"]], "UnionFind.union": [[1328, "unionfind-union"]], "Graph generators": [[1329, "graph-generators"]], "Classic": [[1329, "module-networkx.generators.classic"]], "Expanders": [[1329, "module-networkx.generators.expanders"]], "Lattice": [[1329, "module-networkx.generators.lattice"]], "Small": [[1329, "module-networkx.generators.small"]], "Random Graphs": [[1329, "module-networkx.generators.random_graphs"]], "Duplication Divergence": [[1329, "module-networkx.generators.duplication"]], "Random Clustered": [[1329, "module-networkx.generators.random_clustered"]], "Directed": [[1329, "module-networkx.generators.directed"]], "Geometric": [[1329, "module-networkx.generators.geometric"]], "Line Graph": [[1329, "module-networkx.generators.line"]], "Stochastic": [[1329, "module-networkx.generators.stochastic"]], "AS graph": [[1329, "module-networkx.generators.internet_as_graphs"]], "Intersection": [[1329, "module-networkx.generators.intersection"]], "Social Networks": [[1329, "module-networkx.generators.social"]], "Community": [[1329, "module-networkx.generators.community"]], "Trees": [[1329, "module-networkx.generators.trees"]], "Non Isomorphic Trees": [[1329, "module-networkx.generators.nonisomorphic_trees"]], "Joint Degree Sequence": [[1329, "module-networkx.generators.joint_degree_seq"]], "Mycielski": [[1329, "module-networkx.generators.mycielski"]], "Harary Graph": [[1329, "module-networkx.generators.harary_graph"]], "Cographs": [[1329, "module-networkx.generators.cographs"]], "Interval Graph": [[1329, "module-networkx.generators.interval_graph"]], "Sudoku": [[1329, "module-networkx.generators.sudoku"]], "Glossary": [[1330, "glossary"]], "Reference": [[1331, "reference"]], "NetworkX Basics": [[1332, "networkx-basics"]], "Graphs": [[1332, "graphs"]], "Nodes and Edges": [[1332, "nodes-and-edges"]], "Graph Creation": [[1332, "graph-creation"]], "Graph Reporting": [[1332, "graph-reporting"]], "Data Structure": [[1332, "data-structure"]], "Linear algebra": [[1333, "linear-algebra"]], "Graph Matrix": [[1333, "module-networkx.linalg.graphmatrix"]], "Laplacian Matrix": [[1333, "module-networkx.linalg.laplacianmatrix"]], "Bethe Hessian Matrix": [[1333, "module-networkx.linalg.bethehessianmatrix"]], "Algebraic Connectivity": [[1333, "module-networkx.linalg.algebraicconnectivity"]], "Attribute Matrices": [[1333, "module-networkx.linalg.attrmatrix"]], "Modularity Matrices": [[1333, "module-networkx.linalg.modularitymatrix"]], "Spectrum": [[1333, "module-networkx.linalg.spectrum"]], "Randomness": [[1334, "randomness"]], "Adjacency List": [[1335, "module-networkx.readwrite.adjlist"]], "Edge List": [[1336, "module-networkx.readwrite.edgelist"]], "generate_adjlist": [[1337, "generate-adjlist"]], "parse_adjlist": [[1338, "parse-adjlist"]], "read_adjlist": [[1339, "read-adjlist"]], "write_adjlist": [[1340, "write-adjlist"]], "read_weighted_edgelist": [[1344, "read-weighted-edgelist"]], "write_weighted_edgelist": [[1346, "write-weighted-edgelist"]], "generate_gexf": [[1347, "generate-gexf"]], "read_gexf": [[1348, "read-gexf"]], "relabel_gexf_graph": [[1349, "relabel-gexf-graph"]], "write_gexf": [[1350, "write-gexf"]], "generate_gml": [[1351, "generate-gml"]], "literal_destringizer": [[1352, "literal-destringizer"]], "literal_stringizer": [[1353, "literal-stringizer"]], "parse_gml": [[1354, "parse-gml"]], "read_gml": [[1355, "read-gml"]], "write_gml": [[1356, "write-gml"]], "from_graph6_bytes": [[1357, "from-graph6-bytes"]], "read_graph6": [[1358, "read-graph6"]], "to_graph6_bytes": [[1359, "to-graph6-bytes"]], "write_graph6": [[1360, "write-graph6"]], "generate_graphml": [[1361, "generate-graphml"]], "parse_graphml": [[1362, "parse-graphml"]], "read_graphml": [[1363, "read-graphml"]], "write_graphml": [[1364, "write-graphml"]], "adjacency_data": [[1365, "adjacency-data"]], "adjacency_graph": [[1366, "adjacency-graph"]], "cytoscape_data": [[1367, "cytoscape-data"]], "cytoscape_graph": [[1368, "cytoscape-graph"]], "node_link_data": [[1369, "node-link-data"]], "node_link_graph": [[1370, "node-link-graph"]], "tree_data": [[1371, "tree-data"]], "tree_graph": [[1372, "tree-graph"]], "parse_leda": [[1373, "parse-leda"]], "read_leda": [[1374, "read-leda"]], "generate_multiline_adjlist": [[1375, "generate-multiline-adjlist"]], "parse_multiline_adjlist": [[1376, "parse-multiline-adjlist"]], "read_multiline_adjlist": [[1377, "read-multiline-adjlist"]], "write_multiline_adjlist": [[1378, "write-multiline-adjlist"]], "generate_pajek": [[1379, "generate-pajek"]], "parse_pajek": [[1380, "parse-pajek"]], "read_pajek": [[1381, "read-pajek"]], "write_pajek": [[1382, "write-pajek"]], "from_sparse6_bytes": [[1383, "from-sparse6-bytes"]], "read_sparse6": [[1384, "read-sparse6"]], "to_sparse6_bytes": [[1385, "to-sparse6-bytes"]], "write_sparse6": [[1386, "write-sparse6"]], "generate_network_text": [[1387, "generate-network-text"]], "write_network_text": [[1388, "write-network-text"]], "GEXF": [[1389, "module-networkx.readwrite.gexf"]], "GML": [[1390, "module-networkx.readwrite.gml"]], "GraphML": [[1391, "module-networkx.readwrite.graphml"]], "Reading and writing graphs": [[1392, "reading-and-writing-graphs"]], "JSON": [[1393, "module-networkx.readwrite.json_graph"]], "LEDA": [[1394, "module-networkx.readwrite.leda"]], "Matrix Market": [[1395, "matrix-market"]], "Multiline Adjacency List": [[1396, "module-networkx.readwrite.multiline_adjlist"]], "Pajek": [[1397, "module-networkx.readwrite.pajek"]], "SparseGraph6": [[1398, "sparsegraph6"]], "Graph6": [[1398, "module-networkx.readwrite.graph6"]], "Sparse6": [[1398, "module-networkx.readwrite.sparse6"]], "Network Text": [[1399, "module-networkx.readwrite.text"]], "Relabeling nodes": [[1400, "relabeling-nodes"]], "Relabeling": [[1400, "module-networkx.relabel"]], "Utilities": [[1401, "module-networkx.utils"]], "Helper Functions": [[1401, "module-networkx.utils.misc"]], "Data Structures and Algorithms": [[1401, "module-networkx.utils.union_find"]], "Random Sequence Generators": [[1401, "module-networkx.utils.random_sequence"]], "Decorators": [[1401, "module-networkx.utils.decorators"]], "Cuthill-Mckee Ordering": [[1401, "module-networkx.utils.rcm"]], "Mapped Queue": [[1401, "module-networkx.utils.mapped_queue"]], "NetworkX 0.99": [[1402, "networkx-0-99"], [1415, "networkx-0-99"]], "New features": [[1402, "new-features"], [1403, "new-features"], [1406, "new-features"], [1407, "new-features"], [1415, "new-features"], [1415, "id18"], [1415, "id21"], [1415, "id24"], [1415, "id25"], [1415, "id28"], [1415, "id30"], [1415, "id33"], [1415, "id36"], [1415, "id38"], [1415, "id40"], [1415, "id42"], [1415, "id45"], [1415, "id48"], [1415, "id51"], [1415, "id54"], [1415, "id56"], [1415, "id59"], [1415, "id62"], [1415, "id65"], [1415, "id69"], [1415, "id73"]], "Bug fixes": [[1402, "bug-fixes"], [1407, "bug-fixes"], [1410, "bug-fixes"], [1415, "bug-fixes"], [1415, "id17"], [1415, "id20"], [1415, "id23"], [1415, "id27"], [1415, "id31"], [1415, "id34"], [1415, "id37"], [1415, "id39"], [1415, "id41"], [1415, "id43"], [1415, "id46"], [1415, "id49"], [1415, "id52"], [1415, "id55"], [1415, "id58"], [1415, "id61"], [1415, "id64"], [1415, "id67"], [1415, "id68"], [1415, "id72"], [1415, "id76"]], "Changes in base classes": [[1402, "changes-in-base-classes"], [1403, "changes-in-base-classes"]], "Methods changed": [[1402, "methods-changed"], [1403, "methods-changed"]], "edges()": [[1402, "edges"]], "delete_node()": [[1402, "delete-node"], [1403, "delete-node"]], "delete_nodes_from()": [[1402, "delete-nodes-from"], [1403, "delete-nodes-from"]], "delete_edge()": [[1402, "delete-edge"], [1403, "delete-edge"]], "delete_edges_from()": [[1402, "delete-edges-from"], [1403, "delete-edges-from"]], "add_edge()": [[1402, "add-edge"], [1403, "add-edge"]], "add_edges_from()": [[1402, "add-edges-from"], [1403, "add-edges-from"]], "has_edge()": [[1402, "has-edge"]], "get_edge()": [[1402, "get-edge"], [1403, "get-edge"]], "degree_iter()": [[1402, "degree-iter"]], "subgraph()": [[1402, "subgraph"], [1403, "subgraph"]], "__getitem__()": [[1402, "getitem"]], "Methods removed": [[1402, "methods-removed"], [1403, "methods-removed"]], "info()": [[1402, "info"]], "node_boundary()": [[1402, "node-boundary"]], "edge_boundary()": [[1402, "edge-boundary"]], "is_directed()": [[1402, "is-directed"], [1403, "is-directed"]], "G.out_edges()": [[1402, "g-out-edges"]], "G.in_edges()": [[1402, "g-in-edges"]], "Methods added": [[1402, "methods-added"], [1403, "methods-added"]], "adjacency_list()": [[1402, "adjacency-list"]], "adjacency_iter()": [[1402, "adjacency-iter"]], "Other possible incompatibilities with existing code": [[1402, "other-possible-incompatibilities-with-existing-code"]], "Imports": [[1402, "imports"]], "Copy": [[1402, "copy"]], "prepare_nbunch": [[1402, "prepare-nbunch"]], "Converting your old code to Version 0.99": [[1402, "converting-your-old-code-to-version-0-99"]], "NetworkX 1.0": [[1403, "networkx-1-0"], [1415, "networkx-1-0"]], "Version numbering": [[1403, "version-numbering"]], "Graph attributes": [[1403, "graph-attributes"], [1436, "graph-attributes"]], "Node attributes": [[1403, "node-attributes"], [1436, "node-attributes"]], "Edge attributes": [[1403, "edge-attributes"]], "Graph(), DiGraph(), MultiGraph(), MultiDiGraph()": [[1403, "graph-digraph-multigraph-multidigraph"]], "add_node()": [[1403, "add-node"]], "add_nodes_from()": [[1403, "add-nodes-from"]], "nodes() and nodes_iter()": [[1403, "nodes-and-nodes-iter"]], "copy()": [[1403, "copy"]], "to_directed(), to_undirected()": [[1403, "to-directed-to-undirected"]], "add_cycle(), add_path(), add_star()": [[1403, "add-cycle-add-path-add-star"]], "Members removed": [[1403, "members-removed"]], "directed, multigraph, weighted": [[1403, "directed-multigraph-weighted"]], "add_weighted edges_from()": [[1403, "add-weighted-edges-from"]], "get_edge_data()": [[1403, "get-edge-data"]], "is_multigraph()": [[1403, "is-multigraph"]], "Classes Removed": [[1403, "classes-removed"]], "LabeledGraph, LabeledDiGraph": [[1403, "labeledgraph-labeleddigraph"]], "UbiGraph": [[1403, "ubigraph"]], "Additional functions/generators": [[1403, "additional-functions-generators"]], "Converting your existing code to networkx-1.0": [[1403, "converting-your-existing-code-to-networkx-1-0"]], "Weighted edges": [[1403, "weighted-edges"]], "NetworkX 1.10": [[1404, "networkx-1-10"], [1415, "networkx-1-10"]], "Highlights": [[1404, "highlights"], [1405, "highlights"], [1407, "highlights"], [1408, "highlights"], [1409, "highlights"], [1410, "highlights"], [1411, "highlights"], [1415, "highlights"], [1415, "id6"], [1415, "id7"], [1415, "id9"], [1415, "id11"], [1415, "id13"], [1415, "id15"], [1416, "highlights"], [1417, "highlights"], [1418, "highlights"], [1419, "highlights"], [1420, "highlights"], [1421, "highlights"], [1422, "highlights"], [1423, "highlights"], [1425, "highlights"], [1426, "highlights"], [1427, "highlights"], [1428, "highlights"], [1429, "highlights"], [1430, "highlights"], [1431, "highlights"], [1432, "highlights"], [1433, "highlights"], [1434, "highlights"], [1435, "highlights"]], "API changes": [[1404, "api-changes"], [1405, "api-changes"], [1406, "api-changes"], [1410, "api-changes"], [1415, "api-changes"], [1415, "id8"], [1415, "id10"], [1415, "id12"], [1415, "id14"], [1415, "id16"], [1415, "id19"], [1415, "id22"], [1415, "id26"]], "New functionalities": [[1404, "new-functionalities"]], "Removed functionalities": [[1404, "removed-functionalities"]], "Miscellaneous changes": [[1404, "miscellaneous-changes"], [1405, "miscellaneous-changes"], [1411, "miscellaneous-changes"]], "NetworkX 1.11": [[1405, "networkx-1-11"], [1415, "networkx-1-11"]], "NetworkX 1.4": [[1406, "networkx-1-4"], [1415, "networkx-1-4"]], "Algorithms changed": [[1406, "algorithms-changed"]], "Shortest path": [[1406, "shortest-path"]], "astar_path(), astar_path_length(), shortest_path(), shortest_path_length(),": [[1406, "astar-path-astar-path-length-shortest-path-shortest-path-length"]], "bidirectional_shortest_path(), dijkstra_path(), dijkstra_path_length(),": [[1406, "bidirectional-shortest-path-dijkstra-path-dijkstra-path-length"]], "bidirectional_dijkstra()": [[1406, "bidirectional-dijkstra"]], "NetworkX 1.5": [[1407, "networkx-1-5"], [1415, "networkx-1-5"]], "Weighted graph algorithms": [[1407, "weighted-graph-algorithms"], [1408, "weighted-graph-algorithms"]], "Random geometric graph": [[1407, "random-geometric-graph"]], "NetworkX 1.6": [[1408, "networkx-1-6"], [1415, "networkx-1-6"]], "Graph Classes": [[1408, "graph-classes"]], "Isomorphisms": [[1408, "isomorphisms"]], "Other": [[1408, "other"], [1409, "other"]], "NetworkX 1.7": [[1409, "networkx-1-7"], [1415, "networkx-1-7"]], "NetworkX 1.8": [[1410, "networkx-1-8"], [1415, "networkx-1-8"]], "NetworkX 1.9": [[1411, "networkx-1-9"], [1415, "networkx-1-9"]], "Flow package": [[1411, "flow-package"]], "Main changes": [[1411, "main-changes"]], "Connectivity package": [[1411, "connectivity-package"]], "Other new functionalities": [[1411, "other-new-functionalities"]], "Releases": [[1412, "releases"]], "Migration guide from 1.X to 2.0": [[1413, "migration-guide-from-1-x-to-2-0"]], "Writing code that works for both versions": [[1413, "writing-code-that-works-for-both-versions"]], "Using Pickle with v1 and v2": [[1413, "using-pickle-with-v1-and-v2"]], "Migration guide from 2.X to 3.0": [[1414, "migration-guide-from-2-x-to-3-0"]], "Default dependencies": [[1414, "default-dependencies"]], "Improved integration with scientific Python": [[1414, "improved-integration-with-scientific-python"]], "Replacing NumPy/SciPy matrices with arrays": [[1414, "replacing-numpy-scipy-matrices-with-arrays"]], "Switch to NumPy/SciPy implementations by default for some algorithms": [[1414, "switch-to-numpy-scipy-implementations-by-default-for-some-algorithms"]], "Supporting numpy.random.Generator": [[1414, "supporting-numpy-random-generator"]], "NumPy structured dtypes for multi-attribute adjacency matrices": [[1414, "numpy-structured-dtypes-for-multi-attribute-adjacency-matrices"]], "Deprecated code": [[1414, "deprecated-code"]], "Old Release Log": [[1415, "old-release-log"]], "NetworkX 2.5": [[1415, "networkx-2-5"], [1421, "networkx-2-5"]], "Release notes": [[1415, "release-notes"], [1415, "id1"], [1415, "id2"], [1415, "id3"], [1415, "id4"], [1415, "id5"]], "NetworkX 2.4": [[1415, "networkx-2-4"], [1420, "networkx-2-4"]], "NetworkX 2.3": [[1415, "networkx-2-3"], [1419, "networkx-2-3"]], "NetworkX 2.2": [[1415, "networkx-2-2"], [1418, "networkx-2-2"]], "NetworkX 2.1": [[1415, "networkx-2-1"], [1417, "networkx-2-1"]], "NetworkX 2.0": [[1415, "networkx-2-0"], [1416, "networkx-2-0"]], "NetworkX 1.9.1": [[1415, "networkx-1-9-1"]], "NetworkX 1.8.1": [[1415, "networkx-1-8-1"]], "NetworkX 1.3": [[1415, "networkx-1-3"]], "NetworkX 1.2": [[1415, "networkx-1-2"]], "NetworkX 1.1": [[1415, "networkx-1-1"]], "Returning dictionaries": [[1415, "returning-dictionaries"]], "Adding nodes": [[1415, "adding-nodes"]], "NetworkX 1.0.1": [[1415, "networkx-1-0-1"]], "NetworkX 0.37": [[1415, "networkx-0-37"]], "NetworkX 0.36": [[1415, "networkx-0-36"]], "NetworkX 0.35.1": [[1415, "networkx-0-35-1"]], "NetworkX 0.35": [[1415, "networkx-0-35"]], "NetworkX 0.34": [[1415, "networkx-0-34"]], "NetworkX 0.33": [[1415, "networkx-0-33"]], "NetworkX 0.32": [[1415, "networkx-0-32"]], "NetworkX 0.31": [[1415, "networkx-0-31"]], "NetworkX 0.30": [[1415, "networkx-0-30"]], "NetworkX 0.29": [[1415, "networkx-0-29"]], "NetworkX 0.28": [[1415, "networkx-0-28"]], "NetworkX 0.27": [[1415, "networkx-0-27"]], "NetworkX 0.26": [[1415, "networkx-0-26"]], "NetworkX 0.25": [[1415, "networkx-0-25"]], "NetworkX 0.24": [[1415, "networkx-0-24"]], "NetworkX 0.23": [[1415, "networkx-0-23"]], "Important Change": [[1415, "important-change"]], "NetworkX 0.22": [[1415, "networkx-0-22"]], "API Changes": [[1416, "api-changes"], [1417, "api-changes"], [1418, "api-changes"], [1419, "api-changes"], [1420, "api-changes"], [1421, "api-changes"], [1422, "api-changes"], [1423, "api-changes"], [1425, "api-changes"], [1434, "api-changes"], [1435, "api-changes"]], "Merged PRs": [[1416, "merged-prs"], [1417, "merged-prs"], [1420, "merged-prs"], [1421, "merged-prs"], [1422, "merged-prs"], [1423, "merged-prs"], [1424, "merged-prs"], [1425, "merged-prs"], [1426, "merged-prs"], [1427, "merged-prs"], [1428, "merged-prs"], [1429, "merged-prs"], [1430, "merged-prs"], [1431, "merged-prs"], [1432, "merged-prs"], [1433, "merged-prs"], [1434, "merged-prs"], [1435, "merged-prs"]], "Improvements": [[1417, "improvements"], [1418, "improvements"], [1419, "improvements"], [1420, "improvements"], [1421, "improvements"], [1422, "improvements"], [1423, "improvements"], [1425, "improvements"], [1426, "improvements"], [1431, "improvements"], [1432, "improvements"], [1434, "improvements"], [1435, "improvements"]], "NetworkX 2.6": [[1422, "networkx-2-6"]], "NetworkX 2.7": [[1423, "networkx-2-7"]], "GSoC PRs": [[1423, "gsoc-prs"]], "NetworkX 2.7.1": [[1424, "networkx-2-7-1"]], "NetworkX 2.8": [[1425, "networkx-2-8"]], "NetworkX 2.8.1": [[1426, "networkx-2-8-1"]], "NetworkX 2.8.2": [[1427, "networkx-2-8-2"]], "NetworkX 2.8.3": [[1428, "networkx-2-8-3"]], "NetworkX 2.8.4": [[1429, "networkx-2-8-4"]], "NetworkX 2.8.5": [[1430, "networkx-2-8-5"]], "NetworkX 2.8.6": [[1431, "networkx-2-8-6"]], "NetworkX 2.8.7": [[1432, "networkx-2-8-7"]], "NetworkX 2.8.8": [[1433, "networkx-2-8-8"]], "NetworkX 3.0": [[1434, "networkx-3-0"]], "3.1 (unreleased)": [[1435, "unreleased"]], "Tutorial": [[1436, "tutorial"]], "Creating a graph": [[1436, "creating-a-graph"]], "Examining elements of a graph": [[1436, "examining-elements-of-a-graph"]], "Removing elements from a graph": [[1436, "removing-elements-from-a-graph"]], "Using the graph constructors": [[1436, "using-the-graph-constructors"]], "What to use as nodes and edges": [[1436, "what-to-use-as-nodes-and-edges"]], "Accessing edges and neighbors": [[1436, "accessing-edges-and-neighbors"]], "Adding attributes to graphs, nodes, and edges": [[1436, "adding-attributes-to-graphs-nodes-and-edges"]], "Edge Attributes": [[1436, "edge-attributes"]], "Directed graphs": [[1436, "directed-graphs"]], "Multigraphs": [[1436, "multigraphs"]], "Graph generators and graph operations": [[1436, "graph-generators-and-graph-operations"]], "1. Applying classic graph operations, such as:": [[1436, "applying-classic-graph-operations-such-as"]], "2. Using a call to one of the classic small graphs, e.g.,": [[1436, "using-a-call-to-one-of-the-classic-small-graphs-e-g"]], "3. Using a (constructive) generator for a classic graph, e.g.,": [[1436, "using-a-constructive-generator-for-a-classic-graph-e-g"]], "4. Using a stochastic graph generator, e.g,": [[1436, "using-a-stochastic-graph-generator-e-g"]], "5. Reading a graph stored in a file using common graph formats": [[1436, "reading-a-graph-stored-in-a-file-using-common-graph-formats"]], "Analyzing graphs": [[1436, "analyzing-graphs"]], "Drawing graphs": [[1436, "drawing-graphs"]], "NX-Guides": [[1436, "nx-guides"]]}, "indexentries": {"module": [[113, "module-networkx.algorithms.approximation"], [113, "module-networkx.algorithms.approximation.clique"], [113, "module-networkx.algorithms.approximation.clustering_coefficient"], [113, "module-networkx.algorithms.approximation.connectivity"], [113, "module-networkx.algorithms.approximation.distance_measures"], [113, "module-networkx.algorithms.approximation.dominating_set"], [113, "module-networkx.algorithms.approximation.kcomponents"], [113, "module-networkx.algorithms.approximation.matching"], [113, "module-networkx.algorithms.approximation.maxcut"], [113, "module-networkx.algorithms.approximation.ramsey"], [113, "module-networkx.algorithms.approximation.steinertree"], [113, "module-networkx.algorithms.approximation.traveling_salesman"], [113, "module-networkx.algorithms.approximation.treewidth"], [113, "module-networkx.algorithms.approximation.vertex_cover"], [114, "module-networkx.algorithms.assortativity"], [115, "module-networkx.algorithms.asteroidal"], [116, "module-networkx.algorithms.bipartite"], [116, "module-networkx.algorithms.bipartite.basic"], [116, "module-networkx.algorithms.bipartite.centrality"], [116, "module-networkx.algorithms.bipartite.cluster"], [116, "module-networkx.algorithms.bipartite.covering"], [116, "module-networkx.algorithms.bipartite.edgelist"], [116, "module-networkx.algorithms.bipartite.generators"], [116, "module-networkx.algorithms.bipartite.matching"], [116, "module-networkx.algorithms.bipartite.matrix"], [116, "module-networkx.algorithms.bipartite.projection"], [116, "module-networkx.algorithms.bipartite.redundancy"], [116, "module-networkx.algorithms.bipartite.spectral"], [117, "module-networkx.algorithms.boundary"], [118, "module-networkx.algorithms.bridges"], [119, "module-networkx.algorithms.centrality"], [120, "module-networkx.algorithms.chains"], [121, "module-networkx.algorithms.chordal"], [122, "module-networkx.algorithms.clique"], [123, "module-networkx.algorithms.cluster"], [124, "module-networkx.algorithms.coloring"], [125, "module-networkx.algorithms.communicability_alg"], [126, "module-networkx.algorithms.community"], [126, "module-networkx.algorithms.community.asyn_fluid"], [126, "module-networkx.algorithms.community.centrality"], [126, "module-networkx.algorithms.community.community_utils"], [126, "module-networkx.algorithms.community.kclique"], [126, "module-networkx.algorithms.community.kernighan_lin"], [126, "module-networkx.algorithms.community.label_propagation"], [126, "module-networkx.algorithms.community.louvain"], [126, "module-networkx.algorithms.community.lukes"], [126, "module-networkx.algorithms.community.modularity_max"], [126, "module-networkx.algorithms.community.quality"], [127, "module-networkx.algorithms.components"], [128, "module-networkx.algorithms.connectivity"], [128, "module-networkx.algorithms.connectivity.connectivity"], [128, "module-networkx.algorithms.connectivity.cuts"], [128, "module-networkx.algorithms.connectivity.disjoint_paths"], [128, "module-networkx.algorithms.connectivity.edge_augmentation"], [128, "module-networkx.algorithms.connectivity.edge_kcomponents"], [128, "module-networkx.algorithms.connectivity.kcomponents"], [128, "module-networkx.algorithms.connectivity.kcutsets"], [128, "module-networkx.algorithms.connectivity.stoerwagner"], [128, "module-networkx.algorithms.connectivity.utils"], [129, "module-networkx.algorithms.core"], [130, "module-networkx.algorithms.covering"], [131, "module-networkx.algorithms.cuts"], [132, "module-networkx.algorithms.cycles"], [133, "module-networkx.algorithms.d_separation"], [134, "module-networkx.algorithms.dag"], [135, "module-networkx.algorithms.distance_measures"], [136, "module-networkx.algorithms.distance_regular"], [137, "module-networkx.algorithms.dominance"], [138, "module-networkx.algorithms.dominating"], [139, "module-networkx.algorithms.efficiency_measures"], [140, "module-networkx.algorithms.euler"], [141, "module-networkx.algorithms.flow"], [756, "module-networkx.algorithms.graph_hashing"], [757, "module-networkx.algorithms.graphical"], [758, "module-networkx.algorithms.hierarchy"], [759, "module-networkx.algorithms.hybrid"], [761, "module-networkx.algorithms.isolate"], [762, "module-networkx.algorithms.isomorphism"], [762, "module-networkx.algorithms.isomorphism.tree_isomorphism"], [762, "module-networkx.algorithms.isomorphism.vf2pp"], [763, "module-networkx.algorithms.isomorphism.ismags"], [764, "module-networkx.algorithms.isomorphism.isomorphvf2"], [765, "module-networkx.algorithms.link_analysis.hits_alg"], [765, "module-networkx.algorithms.link_analysis.pagerank_alg"], [766, "module-networkx.algorithms.link_prediction"], [767, "module-networkx.algorithms.lowest_common_ancestors"], [768, "module-networkx.algorithms.matching"], [769, "module-networkx.algorithms.minors"], [770, "module-networkx.algorithms.mis"], [771, "module-networkx.algorithms.moral"], [772, "module-networkx.algorithms.node_classification"], [773, "module-networkx.algorithms.non_randomness"], [774, "module-networkx.algorithms.operators.all"], [774, "module-networkx.algorithms.operators.binary"], [774, "module-networkx.algorithms.operators.product"], [774, "module-networkx.algorithms.operators.unary"], [775, "module-networkx.algorithms.planar_drawing"], [776, "module-networkx.algorithms.planarity"], [777, "module-networkx.algorithms.polynomials"], [778, "module-networkx.algorithms.reciprocity"], [779, "module-networkx.algorithms.regular"], [780, "module-networkx.algorithms.richclub"], [781, "module-networkx.algorithms.shortest_paths.astar"], [781, "module-networkx.algorithms.shortest_paths.dense"], [781, "module-networkx.algorithms.shortest_paths.generic"], [781, "module-networkx.algorithms.shortest_paths.unweighted"], [781, "module-networkx.algorithms.shortest_paths.weighted"], [782, "module-networkx.algorithms.similarity"], [783, "module-networkx.algorithms.simple_paths"], [784, "module-networkx.algorithms.smallworld"], [785, "module-networkx.algorithms.smetric"], [786, "module-networkx.algorithms.sparsifiers"], [787, "module-networkx.algorithms.structuralholes"], [788, "module-networkx.algorithms.summarization"], [789, "module-networkx.algorithms.swap"], [790, "module-networkx.algorithms.threshold"], [791, "module-networkx.algorithms.tournament"], [792, "module-networkx.algorithms.traversal.beamsearch"], [792, "module-networkx.algorithms.traversal.breadth_first_search"], [792, "module-networkx.algorithms.traversal.depth_first_search"], [792, "module-networkx.algorithms.traversal.edgebfs"], [792, "module-networkx.algorithms.traversal.edgedfs"], [793, "module-networkx.algorithms.tree.branchings"], [793, "module-networkx.algorithms.tree.coding"], [793, "module-networkx.algorithms.tree.decomposition"], [793, "module-networkx.algorithms.tree.mst"], [793, "module-networkx.algorithms.tree.operations"], [793, "module-networkx.algorithms.tree.recognition"], [794, "module-networkx.algorithms.triads"], [795, "module-networkx.algorithms.vitality"], [796, "module-networkx.algorithms.voronoi"], [797, "module-networkx.algorithms.wiener"], [1041, "module-networkx.classes.backends"], [1041, "module-networkx.classes.coreviews"], [1041, "module-networkx.classes.filters"], [1041, "module-networkx.classes.graphviews"], [1044, "module-networkx.convert"], [1044, "module-networkx.convert_matrix"], [1045, "module-networkx.drawing.layout"], [1045, "module-networkx.drawing.nx_agraph"], [1045, "module-networkx.drawing.nx_latex"], [1045, "module-networkx.drawing.nx_pydot"], [1045, "module-networkx.drawing.nx_pylab"], [1046, "module-networkx.exception"], [1047, "module-networkx.classes.function"], [1329, "module-networkx.generators.atlas"], [1329, "module-networkx.generators.classic"], [1329, "module-networkx.generators.cographs"], [1329, "module-networkx.generators.community"], [1329, "module-networkx.generators.degree_seq"], [1329, "module-networkx.generators.directed"], [1329, "module-networkx.generators.duplication"], [1329, "module-networkx.generators.ego"], [1329, "module-networkx.generators.expanders"], [1329, "module-networkx.generators.geometric"], [1329, "module-networkx.generators.harary_graph"], [1329, "module-networkx.generators.internet_as_graphs"], [1329, "module-networkx.generators.intersection"], [1329, "module-networkx.generators.interval_graph"], [1329, "module-networkx.generators.joint_degree_seq"], [1329, "module-networkx.generators.lattice"], [1329, "module-networkx.generators.line"], [1329, "module-networkx.generators.mycielski"], [1329, "module-networkx.generators.nonisomorphic_trees"], [1329, "module-networkx.generators.random_clustered"], [1329, "module-networkx.generators.random_graphs"], [1329, "module-networkx.generators.small"], [1329, "module-networkx.generators.social"], [1329, "module-networkx.generators.spectral_graph_forge"], [1329, "module-networkx.generators.stochastic"], [1329, "module-networkx.generators.sudoku"], [1329, "module-networkx.generators.trees"], [1329, "module-networkx.generators.triads"], [1333, "module-networkx.linalg.algebraicconnectivity"], [1333, "module-networkx.linalg.attrmatrix"], [1333, "module-networkx.linalg.bethehessianmatrix"], [1333, "module-networkx.linalg.graphmatrix"], [1333, "module-networkx.linalg.laplacianmatrix"], [1333, "module-networkx.linalg.modularitymatrix"], [1333, "module-networkx.linalg.spectrum"], [1335, "module-networkx.readwrite.adjlist"], [1336, "module-networkx.readwrite.edgelist"], [1389, "module-networkx.readwrite.gexf"], [1390, "module-networkx.readwrite.gml"], [1391, "module-networkx.readwrite.graphml"], [1393, "module-networkx.readwrite.json_graph"], [1394, "module-networkx.readwrite.leda"], [1396, "module-networkx.readwrite.multiline_adjlist"], [1397, "module-networkx.readwrite.pajek"], [1398, "module-networkx.readwrite.graph6"], [1398, "module-networkx.readwrite.sparse6"], [1399, "module-networkx.readwrite.text"], [1400, "module-networkx.relabel"], [1401, "module-networkx.utils"], [1401, "module-networkx.utils.decorators"], [1401, "module-networkx.utils.mapped_queue"], [1401, "module-networkx.utils.misc"], [1401, "module-networkx.utils.random_sequence"], [1401, "module-networkx.utils.rcm"], [1401, "module-networkx.utils.union_find"]], "networkx.algorithms.approximation": [[113, "module-networkx.algorithms.approximation"]], "networkx.algorithms.approximation.clique": [[113, "module-networkx.algorithms.approximation.clique"]], "networkx.algorithms.approximation.clustering_coefficient": [[113, "module-networkx.algorithms.approximation.clustering_coefficient"]], "networkx.algorithms.approximation.connectivity": [[113, "module-networkx.algorithms.approximation.connectivity"]], "networkx.algorithms.approximation.distance_measures": [[113, "module-networkx.algorithms.approximation.distance_measures"]], "networkx.algorithms.approximation.dominating_set": [[113, "module-networkx.algorithms.approximation.dominating_set"]], "networkx.algorithms.approximation.kcomponents": [[113, "module-networkx.algorithms.approximation.kcomponents"]], "networkx.algorithms.approximation.matching": [[113, "module-networkx.algorithms.approximation.matching"]], "networkx.algorithms.approximation.maxcut": [[113, "module-networkx.algorithms.approximation.maxcut"]], "networkx.algorithms.approximation.ramsey": [[113, "module-networkx.algorithms.approximation.ramsey"]], "networkx.algorithms.approximation.steinertree": [[113, "module-networkx.algorithms.approximation.steinertree"]], "networkx.algorithms.approximation.traveling_salesman": [[113, "module-networkx.algorithms.approximation.traveling_salesman"]], "networkx.algorithms.approximation.treewidth": [[113, "module-networkx.algorithms.approximation.treewidth"]], "networkx.algorithms.approximation.vertex_cover": [[113, "module-networkx.algorithms.approximation.vertex_cover"]], "networkx.algorithms.assortativity": [[114, "module-networkx.algorithms.assortativity"]], "networkx.algorithms.asteroidal": [[115, "module-networkx.algorithms.asteroidal"]], "networkx.algorithms.bipartite": [[116, "module-networkx.algorithms.bipartite"]], "networkx.algorithms.bipartite.basic": [[116, "module-networkx.algorithms.bipartite.basic"]], "networkx.algorithms.bipartite.centrality": [[116, "module-networkx.algorithms.bipartite.centrality"]], "networkx.algorithms.bipartite.cluster": [[116, "module-networkx.algorithms.bipartite.cluster"]], "networkx.algorithms.bipartite.covering": [[116, "module-networkx.algorithms.bipartite.covering"]], "networkx.algorithms.bipartite.edgelist": [[116, "module-networkx.algorithms.bipartite.edgelist"]], "networkx.algorithms.bipartite.generators": [[116, "module-networkx.algorithms.bipartite.generators"]], "networkx.algorithms.bipartite.matching": [[116, "module-networkx.algorithms.bipartite.matching"]], "networkx.algorithms.bipartite.matrix": [[116, "module-networkx.algorithms.bipartite.matrix"]], "networkx.algorithms.bipartite.projection": [[116, "module-networkx.algorithms.bipartite.projection"]], "networkx.algorithms.bipartite.redundancy": [[116, "module-networkx.algorithms.bipartite.redundancy"]], "networkx.algorithms.bipartite.spectral": [[116, "module-networkx.algorithms.bipartite.spectral"]], "networkx.algorithms.boundary": [[117, "module-networkx.algorithms.boundary"]], "networkx.algorithms.bridges": [[118, "module-networkx.algorithms.bridges"]], "networkx.algorithms.centrality": [[119, "module-networkx.algorithms.centrality"]], "networkx.algorithms.chains": [[120, "module-networkx.algorithms.chains"]], "networkx.algorithms.chordal": [[121, "module-networkx.algorithms.chordal"]], "networkx.algorithms.clique": [[122, "module-networkx.algorithms.clique"]], "networkx.algorithms.cluster": [[123, "module-networkx.algorithms.cluster"]], "networkx.algorithms.coloring": [[124, "module-networkx.algorithms.coloring"]], "networkx.algorithms.communicability_alg": [[125, "module-networkx.algorithms.communicability_alg"]], "networkx.algorithms.community": [[126, "module-networkx.algorithms.community"]], "networkx.algorithms.community.asyn_fluid": [[126, "module-networkx.algorithms.community.asyn_fluid"]], "networkx.algorithms.community.centrality": [[126, "module-networkx.algorithms.community.centrality"]], "networkx.algorithms.community.community_utils": [[126, "module-networkx.algorithms.community.community_utils"]], "networkx.algorithms.community.kclique": [[126, "module-networkx.algorithms.community.kclique"]], "networkx.algorithms.community.kernighan_lin": [[126, "module-networkx.algorithms.community.kernighan_lin"]], "networkx.algorithms.community.label_propagation": [[126, "module-networkx.algorithms.community.label_propagation"]], "networkx.algorithms.community.louvain": [[126, "module-networkx.algorithms.community.louvain"]], "networkx.algorithms.community.lukes": [[126, "module-networkx.algorithms.community.lukes"]], "networkx.algorithms.community.modularity_max": [[126, "module-networkx.algorithms.community.modularity_max"]], "networkx.algorithms.community.quality": [[126, "module-networkx.algorithms.community.quality"]], "networkx.algorithms.components": [[127, "module-networkx.algorithms.components"]], "networkx.algorithms.connectivity": [[128, "module-networkx.algorithms.connectivity"]], "networkx.algorithms.connectivity.connectivity": [[128, "module-networkx.algorithms.connectivity.connectivity"]], "networkx.algorithms.connectivity.cuts": [[128, "module-networkx.algorithms.connectivity.cuts"]], "networkx.algorithms.connectivity.disjoint_paths": [[128, "module-networkx.algorithms.connectivity.disjoint_paths"]], "networkx.algorithms.connectivity.edge_augmentation": [[128, "module-networkx.algorithms.connectivity.edge_augmentation"]], "networkx.algorithms.connectivity.edge_kcomponents": [[128, "module-networkx.algorithms.connectivity.edge_kcomponents"]], "networkx.algorithms.connectivity.kcomponents": [[128, "module-networkx.algorithms.connectivity.kcomponents"]], "networkx.algorithms.connectivity.kcutsets": [[128, "module-networkx.algorithms.connectivity.kcutsets"]], "networkx.algorithms.connectivity.stoerwagner": [[128, "module-networkx.algorithms.connectivity.stoerwagner"]], "networkx.algorithms.connectivity.utils": [[128, "module-networkx.algorithms.connectivity.utils"]], "networkx.algorithms.core": [[129, "module-networkx.algorithms.core"]], "networkx.algorithms.covering": [[130, "module-networkx.algorithms.covering"]], "networkx.algorithms.cuts": [[131, "module-networkx.algorithms.cuts"]], "networkx.algorithms.cycles": [[132, "module-networkx.algorithms.cycles"]], "networkx.algorithms.d_separation": [[133, "module-networkx.algorithms.d_separation"]], "networkx.algorithms.dag": [[134, "module-networkx.algorithms.dag"]], "networkx.algorithms.distance_measures": [[135, "module-networkx.algorithms.distance_measures"]], "networkx.algorithms.distance_regular": [[136, "module-networkx.algorithms.distance_regular"]], "networkx.algorithms.dominance": [[137, "module-networkx.algorithms.dominance"]], "networkx.algorithms.dominating": [[138, "module-networkx.algorithms.dominating"]], "networkx.algorithms.efficiency_measures": [[139, "module-networkx.algorithms.efficiency_measures"]], "networkx.algorithms.euler": [[140, "module-networkx.algorithms.euler"]], "networkx.algorithms.flow": [[141, "module-networkx.algorithms.flow"]], "construct() (edgecomponentauxgraph class method)": [[142, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.construct"]], "k_edge_components() (edgecomponentauxgraph method)": [[143, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_components"]], "k_edge_subgraphs() (edgecomponentauxgraph method)": [[144, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_subgraphs"]], "analyze_symmetry() (ismags method)": [[145, "networkx.algorithms.isomorphism.ISMAGS.analyze_symmetry"]], "find_isomorphisms() (ismags method)": [[146, "networkx.algorithms.isomorphism.ISMAGS.find_isomorphisms"]], "is_isomorphic() (ismags method)": [[147, "networkx.algorithms.isomorphism.ISMAGS.is_isomorphic"]], "isomorphisms_iter() (ismags method)": [[148, "networkx.algorithms.isomorphism.ISMAGS.isomorphisms_iter"]], "largest_common_subgraph() (ismags method)": [[149, "networkx.algorithms.isomorphism.ISMAGS.largest_common_subgraph"]], "subgraph_is_isomorphic() (ismags method)": [[150, "networkx.algorithms.isomorphism.ISMAGS.subgraph_is_isomorphic"]], "subgraph_isomorphisms_iter() (ismags method)": [[151, "networkx.algorithms.isomorphism.ISMAGS.subgraph_isomorphisms_iter"]], "add_edge() (planarembedding method)": [[152, "networkx.algorithms.planarity.PlanarEmbedding.add_edge"]], "add_edges_from() (planarembedding method)": [[153, "networkx.algorithms.planarity.PlanarEmbedding.add_edges_from"]], "add_half_edge_ccw() (planarembedding method)": [[154, "networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_ccw"]], "add_half_edge_cw() (planarembedding method)": [[155, "networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_cw"]], "add_half_edge_first() (planarembedding method)": [[156, "networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_first"]], "add_node() (planarembedding method)": [[157, "networkx.algorithms.planarity.PlanarEmbedding.add_node"]], "add_nodes_from() (planarembedding method)": [[158, "networkx.algorithms.planarity.PlanarEmbedding.add_nodes_from"]], "add_weighted_edges_from() (planarembedding method)": [[159, "networkx.algorithms.planarity.PlanarEmbedding.add_weighted_edges_from"]], "adj (planarembedding property)": [[160, "networkx.algorithms.planarity.PlanarEmbedding.adj"]], "adjacency() (planarembedding method)": [[161, "networkx.algorithms.planarity.PlanarEmbedding.adjacency"]], "check_structure() (planarembedding method)": [[162, "networkx.algorithms.planarity.PlanarEmbedding.check_structure"]], "clear() (planarembedding method)": [[163, "networkx.algorithms.planarity.PlanarEmbedding.clear"]], "clear_edges() (planarembedding method)": [[164, "networkx.algorithms.planarity.PlanarEmbedding.clear_edges"]], "connect_components() (planarembedding method)": [[165, "networkx.algorithms.planarity.PlanarEmbedding.connect_components"]], "copy() (planarembedding method)": [[166, "networkx.algorithms.planarity.PlanarEmbedding.copy"]], "degree (planarembedding property)": [[167, "networkx.algorithms.planarity.PlanarEmbedding.degree"]], "edge_subgraph() (planarembedding method)": [[168, "networkx.algorithms.planarity.PlanarEmbedding.edge_subgraph"]], "edges (planarembedding property)": [[169, "networkx.algorithms.planarity.PlanarEmbedding.edges"]], "get_data() (planarembedding method)": [[170, "networkx.algorithms.planarity.PlanarEmbedding.get_data"]], "get_edge_data() (planarembedding method)": [[171, "networkx.algorithms.planarity.PlanarEmbedding.get_edge_data"]], "has_edge() (planarembedding method)": [[172, "networkx.algorithms.planarity.PlanarEmbedding.has_edge"]], "has_node() (planarembedding method)": [[173, "networkx.algorithms.planarity.PlanarEmbedding.has_node"]], "has_predecessor() (planarembedding method)": [[174, "networkx.algorithms.planarity.PlanarEmbedding.has_predecessor"]], "has_successor() (planarembedding method)": [[175, "networkx.algorithms.planarity.PlanarEmbedding.has_successor"]], "in_degree (planarembedding property)": [[176, "networkx.algorithms.planarity.PlanarEmbedding.in_degree"]], "in_edges (planarembedding property)": [[177, "networkx.algorithms.planarity.PlanarEmbedding.in_edges"]], "is_directed() (planarembedding method)": [[178, "networkx.algorithms.planarity.PlanarEmbedding.is_directed"]], "is_multigraph() (planarembedding method)": [[179, "networkx.algorithms.planarity.PlanarEmbedding.is_multigraph"]], "name (planarembedding property)": [[180, "networkx.algorithms.planarity.PlanarEmbedding.name"]], "nbunch_iter() (planarembedding method)": [[181, "networkx.algorithms.planarity.PlanarEmbedding.nbunch_iter"]], "neighbors() (planarembedding method)": [[182, "networkx.algorithms.planarity.PlanarEmbedding.neighbors"]], "neighbors_cw_order() (planarembedding method)": [[183, "networkx.algorithms.planarity.PlanarEmbedding.neighbors_cw_order"]], "next_face_half_edge() (planarembedding method)": [[184, "networkx.algorithms.planarity.PlanarEmbedding.next_face_half_edge"]], "nodes (planarembedding property)": [[185, "networkx.algorithms.planarity.PlanarEmbedding.nodes"]], "number_of_edges() (planarembedding method)": [[186, "networkx.algorithms.planarity.PlanarEmbedding.number_of_edges"]], "number_of_nodes() (planarembedding method)": [[187, "networkx.algorithms.planarity.PlanarEmbedding.number_of_nodes"]], "order() (planarembedding method)": [[188, "networkx.algorithms.planarity.PlanarEmbedding.order"]], "out_degree (planarembedding property)": [[189, "networkx.algorithms.planarity.PlanarEmbedding.out_degree"]], "out_edges (planarembedding property)": [[190, "networkx.algorithms.planarity.PlanarEmbedding.out_edges"]], "pred (planarembedding property)": [[191, "networkx.algorithms.planarity.PlanarEmbedding.pred"]], "predecessors() (planarembedding method)": [[192, "networkx.algorithms.planarity.PlanarEmbedding.predecessors"]], "remove_edge() (planarembedding method)": [[193, "networkx.algorithms.planarity.PlanarEmbedding.remove_edge"]], "remove_edges_from() (planarembedding method)": [[194, "networkx.algorithms.planarity.PlanarEmbedding.remove_edges_from"]], "remove_node() (planarembedding method)": [[195, "networkx.algorithms.planarity.PlanarEmbedding.remove_node"]], "remove_nodes_from() (planarembedding method)": [[196, "networkx.algorithms.planarity.PlanarEmbedding.remove_nodes_from"]], "reverse() (planarembedding method)": [[197, "networkx.algorithms.planarity.PlanarEmbedding.reverse"]], "set_data() (planarembedding method)": [[198, "networkx.algorithms.planarity.PlanarEmbedding.set_data"]], "size() (planarembedding method)": [[199, "networkx.algorithms.planarity.PlanarEmbedding.size"]], "subgraph() (planarembedding method)": [[200, "networkx.algorithms.planarity.PlanarEmbedding.subgraph"]], "succ (planarembedding property)": [[201, "networkx.algorithms.planarity.PlanarEmbedding.succ"]], "successors() (planarembedding method)": [[202, "networkx.algorithms.planarity.PlanarEmbedding.successors"]], "to_directed() (planarembedding method)": [[203, "networkx.algorithms.planarity.PlanarEmbedding.to_directed"]], "to_directed_class() (planarembedding method)": [[204, "networkx.algorithms.planarity.PlanarEmbedding.to_directed_class"]], "to_undirected() (planarembedding method)": [[205, "networkx.algorithms.planarity.PlanarEmbedding.to_undirected"]], "to_undirected_class() (planarembedding method)": [[206, "networkx.algorithms.planarity.PlanarEmbedding.to_undirected_class"]], "traverse_face() (planarembedding method)": [[207, "networkx.algorithms.planarity.PlanarEmbedding.traverse_face"]], "update() (planarembedding method)": [[208, "networkx.algorithms.planarity.PlanarEmbedding.update"]], "find_optimum() (edmonds method)": [[209, "networkx.algorithms.tree.branchings.Edmonds.find_optimum"]], "clique_removal() (in module networkx.algorithms.approximation.clique)": [[210, "networkx.algorithms.approximation.clique.clique_removal"]], "large_clique_size() (in module networkx.algorithms.approximation.clique)": [[211, "networkx.algorithms.approximation.clique.large_clique_size"]], "max_clique() (in module networkx.algorithms.approximation.clique)": [[212, "networkx.algorithms.approximation.clique.max_clique"]], "maximum_independent_set() (in module networkx.algorithms.approximation.clique)": [[213, "networkx.algorithms.approximation.clique.maximum_independent_set"]], "average_clustering() (in module networkx.algorithms.approximation.clustering_coefficient)": [[214, "networkx.algorithms.approximation.clustering_coefficient.average_clustering"]], "all_pairs_node_connectivity() (in module networkx.algorithms.approximation.connectivity)": [[215, "networkx.algorithms.approximation.connectivity.all_pairs_node_connectivity"]], "local_node_connectivity() (in module networkx.algorithms.approximation.connectivity)": [[216, "networkx.algorithms.approximation.connectivity.local_node_connectivity"]], "node_connectivity() (in module networkx.algorithms.approximation.connectivity)": [[217, "networkx.algorithms.approximation.connectivity.node_connectivity"]], "diameter() (in module networkx.algorithms.approximation.distance_measures)": [[218, "networkx.algorithms.approximation.distance_measures.diameter"]], "min_edge_dominating_set() (in module networkx.algorithms.approximation.dominating_set)": [[219, "networkx.algorithms.approximation.dominating_set.min_edge_dominating_set"]], "min_weighted_dominating_set() (in module networkx.algorithms.approximation.dominating_set)": [[220, "networkx.algorithms.approximation.dominating_set.min_weighted_dominating_set"]], "k_components() (in module networkx.algorithms.approximation.kcomponents)": [[221, "networkx.algorithms.approximation.kcomponents.k_components"]], "min_maximal_matching() (in module networkx.algorithms.approximation.matching)": [[222, "networkx.algorithms.approximation.matching.min_maximal_matching"]], "one_exchange() (in module networkx.algorithms.approximation.maxcut)": [[223, "networkx.algorithms.approximation.maxcut.one_exchange"]], "randomized_partitioning() (in module networkx.algorithms.approximation.maxcut)": [[224, "networkx.algorithms.approximation.maxcut.randomized_partitioning"]], "ramsey_r2() (in module networkx.algorithms.approximation.ramsey)": [[225, "networkx.algorithms.approximation.ramsey.ramsey_R2"]], "metric_closure() (in module networkx.algorithms.approximation.steinertree)": [[226, "networkx.algorithms.approximation.steinertree.metric_closure"]], "steiner_tree() (in module networkx.algorithms.approximation.steinertree)": [[227, "networkx.algorithms.approximation.steinertree.steiner_tree"]], "asadpour_atsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[228, "networkx.algorithms.approximation.traveling_salesman.asadpour_atsp"]], "christofides() (in module networkx.algorithms.approximation.traveling_salesman)": [[229, "networkx.algorithms.approximation.traveling_salesman.christofides"]], "greedy_tsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[230, "networkx.algorithms.approximation.traveling_salesman.greedy_tsp"]], "simulated_annealing_tsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[231, "networkx.algorithms.approximation.traveling_salesman.simulated_annealing_tsp"]], "threshold_accepting_tsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[232, "networkx.algorithms.approximation.traveling_salesman.threshold_accepting_tsp"]], "traveling_salesman_problem() (in module networkx.algorithms.approximation.traveling_salesman)": [[233, "networkx.algorithms.approximation.traveling_salesman.traveling_salesman_problem"]], "treewidth_min_degree() (in module networkx.algorithms.approximation.treewidth)": [[234, "networkx.algorithms.approximation.treewidth.treewidth_min_degree"]], "treewidth_min_fill_in() (in module networkx.algorithms.approximation.treewidth)": [[235, "networkx.algorithms.approximation.treewidth.treewidth_min_fill_in"]], "min_weighted_vertex_cover() (in module networkx.algorithms.approximation.vertex_cover)": [[236, "networkx.algorithms.approximation.vertex_cover.min_weighted_vertex_cover"]], "attribute_assortativity_coefficient() (in module networkx.algorithms.assortativity)": [[237, "networkx.algorithms.assortativity.attribute_assortativity_coefficient"]], "attribute_mixing_dict() (in module networkx.algorithms.assortativity)": [[238, "networkx.algorithms.assortativity.attribute_mixing_dict"]], "attribute_mixing_matrix() (in module networkx.algorithms.assortativity)": [[239, "networkx.algorithms.assortativity.attribute_mixing_matrix"]], "average_degree_connectivity() (in module networkx.algorithms.assortativity)": [[240, "networkx.algorithms.assortativity.average_degree_connectivity"]], "average_neighbor_degree() (in module networkx.algorithms.assortativity)": [[241, "networkx.algorithms.assortativity.average_neighbor_degree"]], "degree_assortativity_coefficient() (in module networkx.algorithms.assortativity)": [[242, "networkx.algorithms.assortativity.degree_assortativity_coefficient"]], "degree_mixing_dict() (in module networkx.algorithms.assortativity)": [[243, "networkx.algorithms.assortativity.degree_mixing_dict"]], "degree_mixing_matrix() (in module networkx.algorithms.assortativity)": [[244, "networkx.algorithms.assortativity.degree_mixing_matrix"]], "degree_pearson_correlation_coefficient() (in module networkx.algorithms.assortativity)": [[245, "networkx.algorithms.assortativity.degree_pearson_correlation_coefficient"]], "mixing_dict() (in module networkx.algorithms.assortativity)": [[246, "networkx.algorithms.assortativity.mixing_dict"]], "node_attribute_xy() (in module networkx.algorithms.assortativity)": [[247, "networkx.algorithms.assortativity.node_attribute_xy"]], "node_degree_xy() (in module networkx.algorithms.assortativity)": [[248, "networkx.algorithms.assortativity.node_degree_xy"]], "numeric_assortativity_coefficient() (in module networkx.algorithms.assortativity)": [[249, "networkx.algorithms.assortativity.numeric_assortativity_coefficient"]], "find_asteroidal_triple() (in module networkx.algorithms.asteroidal)": [[250, "networkx.algorithms.asteroidal.find_asteroidal_triple"]], "is_at_free() (in module networkx.algorithms.asteroidal)": [[251, "networkx.algorithms.asteroidal.is_at_free"]], "color() (in module networkx.algorithms.bipartite.basic)": [[252, "networkx.algorithms.bipartite.basic.color"]], "degrees() (in module networkx.algorithms.bipartite.basic)": [[253, "networkx.algorithms.bipartite.basic.degrees"]], "density() (in module networkx.algorithms.bipartite.basic)": [[254, "networkx.algorithms.bipartite.basic.density"]], "is_bipartite() (in module networkx.algorithms.bipartite.basic)": [[255, "networkx.algorithms.bipartite.basic.is_bipartite"]], "is_bipartite_node_set() (in module networkx.algorithms.bipartite.basic)": [[256, "networkx.algorithms.bipartite.basic.is_bipartite_node_set"]], "sets() (in module networkx.algorithms.bipartite.basic)": [[257, "networkx.algorithms.bipartite.basic.sets"]], "betweenness_centrality() (in module networkx.algorithms.bipartite.centrality)": [[258, "networkx.algorithms.bipartite.centrality.betweenness_centrality"]], "closeness_centrality() (in module networkx.algorithms.bipartite.centrality)": [[259, "networkx.algorithms.bipartite.centrality.closeness_centrality"]], "degree_centrality() (in module networkx.algorithms.bipartite.centrality)": [[260, "networkx.algorithms.bipartite.centrality.degree_centrality"]], "average_clustering() (in module networkx.algorithms.bipartite.cluster)": [[261, "networkx.algorithms.bipartite.cluster.average_clustering"]], "clustering() (in module networkx.algorithms.bipartite.cluster)": [[262, "networkx.algorithms.bipartite.cluster.clustering"]], "latapy_clustering() (in module networkx.algorithms.bipartite.cluster)": [[263, "networkx.algorithms.bipartite.cluster.latapy_clustering"]], "robins_alexander_clustering() (in module networkx.algorithms.bipartite.cluster)": [[264, "networkx.algorithms.bipartite.cluster.robins_alexander_clustering"]], "min_edge_cover() (in module networkx.algorithms.bipartite.covering)": [[265, "networkx.algorithms.bipartite.covering.min_edge_cover"]], "generate_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[266, "networkx.algorithms.bipartite.edgelist.generate_edgelist"]], "parse_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[267, "networkx.algorithms.bipartite.edgelist.parse_edgelist"]], "read_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[268, "networkx.algorithms.bipartite.edgelist.read_edgelist"]], "write_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[269, "networkx.algorithms.bipartite.edgelist.write_edgelist"]], "alternating_havel_hakimi_graph() (in module networkx.algorithms.bipartite.generators)": [[270, "networkx.algorithms.bipartite.generators.alternating_havel_hakimi_graph"]], "complete_bipartite_graph() (in module networkx.algorithms.bipartite.generators)": [[271, "networkx.algorithms.bipartite.generators.complete_bipartite_graph"]], "configuration_model() (in module networkx.algorithms.bipartite.generators)": [[272, "networkx.algorithms.bipartite.generators.configuration_model"]], "gnmk_random_graph() (in module networkx.algorithms.bipartite.generators)": [[273, "networkx.algorithms.bipartite.generators.gnmk_random_graph"]], "havel_hakimi_graph() (in module networkx.algorithms.bipartite.generators)": [[274, "networkx.algorithms.bipartite.generators.havel_hakimi_graph"]], "preferential_attachment_graph() (in module networkx.algorithms.bipartite.generators)": [[275, "networkx.algorithms.bipartite.generators.preferential_attachment_graph"]], "random_graph() (in module networkx.algorithms.bipartite.generators)": [[276, "networkx.algorithms.bipartite.generators.random_graph"]], "reverse_havel_hakimi_graph() (in module networkx.algorithms.bipartite.generators)": [[277, "networkx.algorithms.bipartite.generators.reverse_havel_hakimi_graph"]], "eppstein_matching() (in module networkx.algorithms.bipartite.matching)": [[278, "networkx.algorithms.bipartite.matching.eppstein_matching"]], "hopcroft_karp_matching() (in module networkx.algorithms.bipartite.matching)": [[279, "networkx.algorithms.bipartite.matching.hopcroft_karp_matching"]], "maximum_matching() (in module networkx.algorithms.bipartite.matching)": [[280, "networkx.algorithms.bipartite.matching.maximum_matching"]], "minimum_weight_full_matching() (in module networkx.algorithms.bipartite.matching)": [[281, "networkx.algorithms.bipartite.matching.minimum_weight_full_matching"]], "to_vertex_cover() (in module networkx.algorithms.bipartite.matching)": [[282, "networkx.algorithms.bipartite.matching.to_vertex_cover"]], "biadjacency_matrix() (in module networkx.algorithms.bipartite.matrix)": [[283, "networkx.algorithms.bipartite.matrix.biadjacency_matrix"]], "from_biadjacency_matrix() (in module networkx.algorithms.bipartite.matrix)": [[284, "networkx.algorithms.bipartite.matrix.from_biadjacency_matrix"]], "collaboration_weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[285, "networkx.algorithms.bipartite.projection.collaboration_weighted_projected_graph"]], "generic_weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[286, "networkx.algorithms.bipartite.projection.generic_weighted_projected_graph"]], "overlap_weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[287, "networkx.algorithms.bipartite.projection.overlap_weighted_projected_graph"]], "projected_graph() (in module networkx.algorithms.bipartite.projection)": [[288, "networkx.algorithms.bipartite.projection.projected_graph"]], "weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[289, "networkx.algorithms.bipartite.projection.weighted_projected_graph"]], "node_redundancy() (in module networkx.algorithms.bipartite.redundancy)": [[290, "networkx.algorithms.bipartite.redundancy.node_redundancy"]], "spectral_bipartivity() (in module networkx.algorithms.bipartite.spectral)": [[291, "networkx.algorithms.bipartite.spectral.spectral_bipartivity"]], "edge_boundary() (in module networkx.algorithms.boundary)": [[292, "networkx.algorithms.boundary.edge_boundary"]], "node_boundary() (in module networkx.algorithms.boundary)": [[293, "networkx.algorithms.boundary.node_boundary"]], "bridges() (in module networkx.algorithms.bridges)": [[294, "networkx.algorithms.bridges.bridges"]], "has_bridges() (in module networkx.algorithms.bridges)": [[295, "networkx.algorithms.bridges.has_bridges"]], "local_bridges() (in module networkx.algorithms.bridges)": [[296, "networkx.algorithms.bridges.local_bridges"]], "approximate_current_flow_betweenness_centrality() (in module networkx.algorithms.centrality)": [[297, "networkx.algorithms.centrality.approximate_current_flow_betweenness_centrality"]], "betweenness_centrality() (in module networkx.algorithms.centrality)": [[298, "networkx.algorithms.centrality.betweenness_centrality"]], "betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[299, "networkx.algorithms.centrality.betweenness_centrality_subset"]], "closeness_centrality() (in module networkx.algorithms.centrality)": [[300, "networkx.algorithms.centrality.closeness_centrality"]], "communicability_betweenness_centrality() (in module networkx.algorithms.centrality)": [[301, "networkx.algorithms.centrality.communicability_betweenness_centrality"]], "current_flow_betweenness_centrality() (in module networkx.algorithms.centrality)": [[302, "networkx.algorithms.centrality.current_flow_betweenness_centrality"]], "current_flow_betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[303, "networkx.algorithms.centrality.current_flow_betweenness_centrality_subset"]], "current_flow_closeness_centrality() (in module networkx.algorithms.centrality)": [[304, "networkx.algorithms.centrality.current_flow_closeness_centrality"]], "degree_centrality() (in module networkx.algorithms.centrality)": [[305, "networkx.algorithms.centrality.degree_centrality"]], "dispersion() (in module networkx.algorithms.centrality)": [[306, "networkx.algorithms.centrality.dispersion"]], "edge_betweenness_centrality() (in module networkx.algorithms.centrality)": [[307, "networkx.algorithms.centrality.edge_betweenness_centrality"]], "edge_betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[308, "networkx.algorithms.centrality.edge_betweenness_centrality_subset"]], "edge_current_flow_betweenness_centrality() (in module networkx.algorithms.centrality)": [[309, "networkx.algorithms.centrality.edge_current_flow_betweenness_centrality"]], "edge_current_flow_betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[310, "networkx.algorithms.centrality.edge_current_flow_betweenness_centrality_subset"]], "edge_load_centrality() (in module networkx.algorithms.centrality)": [[311, "networkx.algorithms.centrality.edge_load_centrality"]], "eigenvector_centrality() (in module networkx.algorithms.centrality)": [[312, "networkx.algorithms.centrality.eigenvector_centrality"]], "eigenvector_centrality_numpy() (in module networkx.algorithms.centrality)": [[313, "networkx.algorithms.centrality.eigenvector_centrality_numpy"]], "estrada_index() (in module networkx.algorithms.centrality)": [[314, "networkx.algorithms.centrality.estrada_index"]], "global_reaching_centrality() (in module networkx.algorithms.centrality)": [[315, "networkx.algorithms.centrality.global_reaching_centrality"]], "group_betweenness_centrality() (in module networkx.algorithms.centrality)": [[316, "networkx.algorithms.centrality.group_betweenness_centrality"]], "group_closeness_centrality() (in module networkx.algorithms.centrality)": [[317, "networkx.algorithms.centrality.group_closeness_centrality"]], "group_degree_centrality() (in module networkx.algorithms.centrality)": [[318, "networkx.algorithms.centrality.group_degree_centrality"]], "group_in_degree_centrality() (in module networkx.algorithms.centrality)": [[319, "networkx.algorithms.centrality.group_in_degree_centrality"]], "group_out_degree_centrality() (in module networkx.algorithms.centrality)": [[320, "networkx.algorithms.centrality.group_out_degree_centrality"]], "harmonic_centrality() (in module networkx.algorithms.centrality)": [[321, "networkx.algorithms.centrality.harmonic_centrality"]], "in_degree_centrality() (in module networkx.algorithms.centrality)": [[322, "networkx.algorithms.centrality.in_degree_centrality"]], "incremental_closeness_centrality() (in module networkx.algorithms.centrality)": [[323, "networkx.algorithms.centrality.incremental_closeness_centrality"]], "information_centrality() (in module networkx.algorithms.centrality)": [[324, "networkx.algorithms.centrality.information_centrality"]], "katz_centrality() (in module networkx.algorithms.centrality)": [[325, "networkx.algorithms.centrality.katz_centrality"]], "katz_centrality_numpy() (in module networkx.algorithms.centrality)": [[326, "networkx.algorithms.centrality.katz_centrality_numpy"]], "laplacian_centrality() (in module networkx.algorithms.centrality)": [[327, "networkx.algorithms.centrality.laplacian_centrality"]], "load_centrality() (in module networkx.algorithms.centrality)": [[328, "networkx.algorithms.centrality.load_centrality"]], "local_reaching_centrality() (in module networkx.algorithms.centrality)": [[329, "networkx.algorithms.centrality.local_reaching_centrality"]], "out_degree_centrality() (in module networkx.algorithms.centrality)": [[330, "networkx.algorithms.centrality.out_degree_centrality"]], "percolation_centrality() (in module networkx.algorithms.centrality)": [[331, "networkx.algorithms.centrality.percolation_centrality"]], "prominent_group() (in module networkx.algorithms.centrality)": [[332, "networkx.algorithms.centrality.prominent_group"]], "second_order_centrality() (in module networkx.algorithms.centrality)": [[333, "networkx.algorithms.centrality.second_order_centrality"]], "subgraph_centrality() (in module networkx.algorithms.centrality)": [[334, "networkx.algorithms.centrality.subgraph_centrality"]], "subgraph_centrality_exp() (in module networkx.algorithms.centrality)": [[335, "networkx.algorithms.centrality.subgraph_centrality_exp"]], "trophic_differences() (in module networkx.algorithms.centrality)": [[336, "networkx.algorithms.centrality.trophic_differences"]], "trophic_incoherence_parameter() (in module networkx.algorithms.centrality)": [[337, "networkx.algorithms.centrality.trophic_incoherence_parameter"]], "trophic_levels() (in module networkx.algorithms.centrality)": [[338, "networkx.algorithms.centrality.trophic_levels"]], "voterank() (in module networkx.algorithms.centrality)": [[339, "networkx.algorithms.centrality.voterank"]], "chain_decomposition() (in module networkx.algorithms.chains)": [[340, "networkx.algorithms.chains.chain_decomposition"]], "chordal_graph_cliques() (in module networkx.algorithms.chordal)": [[341, "networkx.algorithms.chordal.chordal_graph_cliques"]], "chordal_graph_treewidth() (in module networkx.algorithms.chordal)": [[342, "networkx.algorithms.chordal.chordal_graph_treewidth"]], "complete_to_chordal_graph() (in module networkx.algorithms.chordal)": [[343, "networkx.algorithms.chordal.complete_to_chordal_graph"]], "find_induced_nodes() (in module networkx.algorithms.chordal)": [[344, "networkx.algorithms.chordal.find_induced_nodes"]], "is_chordal() (in module networkx.algorithms.chordal)": [[345, "networkx.algorithms.chordal.is_chordal"]], "cliques_containing_node() (in module networkx.algorithms.clique)": [[346, "networkx.algorithms.clique.cliques_containing_node"]], "enumerate_all_cliques() (in module networkx.algorithms.clique)": [[347, "networkx.algorithms.clique.enumerate_all_cliques"]], "find_cliques() (in module networkx.algorithms.clique)": [[348, "networkx.algorithms.clique.find_cliques"]], "find_cliques_recursive() (in module networkx.algorithms.clique)": [[349, "networkx.algorithms.clique.find_cliques_recursive"]], "graph_clique_number() (in module networkx.algorithms.clique)": [[350, "networkx.algorithms.clique.graph_clique_number"]], "graph_number_of_cliques() (in module networkx.algorithms.clique)": [[351, "networkx.algorithms.clique.graph_number_of_cliques"]], "make_clique_bipartite() (in module networkx.algorithms.clique)": [[352, "networkx.algorithms.clique.make_clique_bipartite"]], "make_max_clique_graph() (in module networkx.algorithms.clique)": [[353, "networkx.algorithms.clique.make_max_clique_graph"]], "max_weight_clique() (in module networkx.algorithms.clique)": [[354, "networkx.algorithms.clique.max_weight_clique"]], "node_clique_number() (in module networkx.algorithms.clique)": [[355, "networkx.algorithms.clique.node_clique_number"]], "number_of_cliques() (in module networkx.algorithms.clique)": [[356, "networkx.algorithms.clique.number_of_cliques"]], "average_clustering() (in module networkx.algorithms.cluster)": [[357, "networkx.algorithms.cluster.average_clustering"]], "clustering() (in module networkx.algorithms.cluster)": [[358, "networkx.algorithms.cluster.clustering"]], "generalized_degree() (in module networkx.algorithms.cluster)": [[359, "networkx.algorithms.cluster.generalized_degree"]], "square_clustering() (in module networkx.algorithms.cluster)": [[360, "networkx.algorithms.cluster.square_clustering"]], "transitivity() (in module networkx.algorithms.cluster)": [[361, "networkx.algorithms.cluster.transitivity"]], "triangles() (in module networkx.algorithms.cluster)": [[362, "networkx.algorithms.cluster.triangles"]], "equitable_color() (in module networkx.algorithms.coloring)": [[363, "networkx.algorithms.coloring.equitable_color"]], "greedy_color() (in module networkx.algorithms.coloring)": [[364, "networkx.algorithms.coloring.greedy_color"]], "strategy_connected_sequential() (in module networkx.algorithms.coloring)": [[365, "networkx.algorithms.coloring.strategy_connected_sequential"]], "strategy_connected_sequential_bfs() (in module networkx.algorithms.coloring)": [[366, "networkx.algorithms.coloring.strategy_connected_sequential_bfs"]], "strategy_connected_sequential_dfs() (in module networkx.algorithms.coloring)": [[367, "networkx.algorithms.coloring.strategy_connected_sequential_dfs"]], "strategy_independent_set() (in module networkx.algorithms.coloring)": [[368, "networkx.algorithms.coloring.strategy_independent_set"]], "strategy_largest_first() (in module networkx.algorithms.coloring)": [[369, "networkx.algorithms.coloring.strategy_largest_first"]], "strategy_random_sequential() (in module networkx.algorithms.coloring)": [[370, "networkx.algorithms.coloring.strategy_random_sequential"]], "strategy_saturation_largest_first() (in module networkx.algorithms.coloring)": [[371, "networkx.algorithms.coloring.strategy_saturation_largest_first"]], "strategy_smallest_last() (in module networkx.algorithms.coloring)": [[372, "networkx.algorithms.coloring.strategy_smallest_last"]], "communicability() (in module networkx.algorithms.communicability_alg)": [[373, "networkx.algorithms.communicability_alg.communicability"]], "communicability_exp() (in module networkx.algorithms.communicability_alg)": [[374, "networkx.algorithms.communicability_alg.communicability_exp"]], "asyn_fluidc() (in module networkx.algorithms.community.asyn_fluid)": [[375, "networkx.algorithms.community.asyn_fluid.asyn_fluidc"]], "girvan_newman() (in module networkx.algorithms.community.centrality)": [[376, "networkx.algorithms.community.centrality.girvan_newman"]], "is_partition() (in module networkx.algorithms.community.community_utils)": [[377, "networkx.algorithms.community.community_utils.is_partition"]], "k_clique_communities() (in module networkx.algorithms.community.kclique)": [[378, "networkx.algorithms.community.kclique.k_clique_communities"]], "kernighan_lin_bisection() (in module networkx.algorithms.community.kernighan_lin)": [[379, "networkx.algorithms.community.kernighan_lin.kernighan_lin_bisection"]], "asyn_lpa_communities() (in module networkx.algorithms.community.label_propagation)": [[380, "networkx.algorithms.community.label_propagation.asyn_lpa_communities"]], "label_propagation_communities() (in module networkx.algorithms.community.label_propagation)": [[381, "networkx.algorithms.community.label_propagation.label_propagation_communities"]], "louvain_communities() (in module networkx.algorithms.community.louvain)": [[382, "networkx.algorithms.community.louvain.louvain_communities"]], "louvain_partitions() (in module networkx.algorithms.community.louvain)": [[383, "networkx.algorithms.community.louvain.louvain_partitions"]], "lukes_partitioning() (in module networkx.algorithms.community.lukes)": [[384, "networkx.algorithms.community.lukes.lukes_partitioning"]], "greedy_modularity_communities() (in module networkx.algorithms.community.modularity_max)": [[385, "networkx.algorithms.community.modularity_max.greedy_modularity_communities"]], "naive_greedy_modularity_communities() (in module networkx.algorithms.community.modularity_max)": [[386, "networkx.algorithms.community.modularity_max.naive_greedy_modularity_communities"]], "modularity() (in module networkx.algorithms.community.quality)": [[387, "networkx.algorithms.community.quality.modularity"]], "partition_quality() (in module networkx.algorithms.community.quality)": [[388, "networkx.algorithms.community.quality.partition_quality"]], "articulation_points() (in module networkx.algorithms.components)": [[389, "networkx.algorithms.components.articulation_points"]], "attracting_components() (in module networkx.algorithms.components)": [[390, "networkx.algorithms.components.attracting_components"]], "biconnected_component_edges() (in module networkx.algorithms.components)": [[391, "networkx.algorithms.components.biconnected_component_edges"]], "biconnected_components() (in module networkx.algorithms.components)": [[392, "networkx.algorithms.components.biconnected_components"]], "condensation() (in module networkx.algorithms.components)": [[393, "networkx.algorithms.components.condensation"]], "connected_components() (in module networkx.algorithms.components)": [[394, "networkx.algorithms.components.connected_components"]], "is_attracting_component() (in module networkx.algorithms.components)": [[395, "networkx.algorithms.components.is_attracting_component"]], "is_biconnected() (in module networkx.algorithms.components)": [[396, "networkx.algorithms.components.is_biconnected"]], "is_connected() (in module networkx.algorithms.components)": [[397, "networkx.algorithms.components.is_connected"]], "is_semiconnected() (in module networkx.algorithms.components)": [[398, "networkx.algorithms.components.is_semiconnected"]], "is_strongly_connected() (in module networkx.algorithms.components)": [[399, "networkx.algorithms.components.is_strongly_connected"]], "is_weakly_connected() (in module networkx.algorithms.components)": [[400, "networkx.algorithms.components.is_weakly_connected"]], "kosaraju_strongly_connected_components() (in module networkx.algorithms.components)": [[401, "networkx.algorithms.components.kosaraju_strongly_connected_components"]], "node_connected_component() (in module networkx.algorithms.components)": [[402, "networkx.algorithms.components.node_connected_component"]], "number_attracting_components() (in module networkx.algorithms.components)": [[403, "networkx.algorithms.components.number_attracting_components"]], "number_connected_components() (in module networkx.algorithms.components)": [[404, "networkx.algorithms.components.number_connected_components"]], "number_strongly_connected_components() (in module networkx.algorithms.components)": [[405, "networkx.algorithms.components.number_strongly_connected_components"]], "number_weakly_connected_components() (in module networkx.algorithms.components)": [[406, "networkx.algorithms.components.number_weakly_connected_components"]], "strongly_connected_components() (in module networkx.algorithms.components)": [[407, "networkx.algorithms.components.strongly_connected_components"]], "strongly_connected_components_recursive() (in module networkx.algorithms.components)": [[408, "networkx.algorithms.components.strongly_connected_components_recursive"]], "weakly_connected_components() (in module networkx.algorithms.components)": [[409, "networkx.algorithms.components.weakly_connected_components"]], "all_pairs_node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[410, "networkx.algorithms.connectivity.connectivity.all_pairs_node_connectivity"]], "average_node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[411, "networkx.algorithms.connectivity.connectivity.average_node_connectivity"]], "edge_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[412, "networkx.algorithms.connectivity.connectivity.edge_connectivity"]], "local_edge_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[413, "networkx.algorithms.connectivity.connectivity.local_edge_connectivity"]], "local_node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[414, "networkx.algorithms.connectivity.connectivity.local_node_connectivity"]], "node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[415, "networkx.algorithms.connectivity.connectivity.node_connectivity"]], "minimum_edge_cut() (in module networkx.algorithms.connectivity.cuts)": [[416, "networkx.algorithms.connectivity.cuts.minimum_edge_cut"]], "minimum_node_cut() (in module networkx.algorithms.connectivity.cuts)": [[417, "networkx.algorithms.connectivity.cuts.minimum_node_cut"]], "minimum_st_edge_cut() (in module networkx.algorithms.connectivity.cuts)": [[418, "networkx.algorithms.connectivity.cuts.minimum_st_edge_cut"]], "minimum_st_node_cut() (in module networkx.algorithms.connectivity.cuts)": [[419, "networkx.algorithms.connectivity.cuts.minimum_st_node_cut"]], "edge_disjoint_paths() (in module networkx.algorithms.connectivity.disjoint_paths)": [[420, "networkx.algorithms.connectivity.disjoint_paths.edge_disjoint_paths"]], "node_disjoint_paths() (in module networkx.algorithms.connectivity.disjoint_paths)": [[421, "networkx.algorithms.connectivity.disjoint_paths.node_disjoint_paths"]], "is_k_edge_connected() (in module networkx.algorithms.connectivity.edge_augmentation)": [[422, "networkx.algorithms.connectivity.edge_augmentation.is_k_edge_connected"]], "is_locally_k_edge_connected() (in module networkx.algorithms.connectivity.edge_augmentation)": [[423, "networkx.algorithms.connectivity.edge_augmentation.is_locally_k_edge_connected"]], "k_edge_augmentation() (in module networkx.algorithms.connectivity.edge_augmentation)": [[424, "networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation"]], "edgecomponentauxgraph (class in networkx.algorithms.connectivity.edge_kcomponents)": [[425, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph"]], "__init__() (edgecomponentauxgraph method)": [[425, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.__init__"]], "bridge_components() (in module networkx.algorithms.connectivity.edge_kcomponents)": [[426, "networkx.algorithms.connectivity.edge_kcomponents.bridge_components"]], "k_edge_components() (in module networkx.algorithms.connectivity.edge_kcomponents)": [[427, "networkx.algorithms.connectivity.edge_kcomponents.k_edge_components"]], "k_edge_subgraphs() (in module networkx.algorithms.connectivity.edge_kcomponents)": [[428, "networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs"]], "k_components() (in module networkx.algorithms.connectivity.kcomponents)": [[429, "networkx.algorithms.connectivity.kcomponents.k_components"]], "all_node_cuts() (in module networkx.algorithms.connectivity.kcutsets)": [[430, "networkx.algorithms.connectivity.kcutsets.all_node_cuts"]], "stoer_wagner() (in module networkx.algorithms.connectivity.stoerwagner)": [[431, "networkx.algorithms.connectivity.stoerwagner.stoer_wagner"]], "build_auxiliary_edge_connectivity() (in module networkx.algorithms.connectivity.utils)": [[432, "networkx.algorithms.connectivity.utils.build_auxiliary_edge_connectivity"]], "build_auxiliary_node_connectivity() (in module networkx.algorithms.connectivity.utils)": [[433, "networkx.algorithms.connectivity.utils.build_auxiliary_node_connectivity"]], "core_number() (in module networkx.algorithms.core)": [[434, "networkx.algorithms.core.core_number"]], "k_core() (in module networkx.algorithms.core)": [[435, "networkx.algorithms.core.k_core"]], "k_corona() (in module networkx.algorithms.core)": [[436, "networkx.algorithms.core.k_corona"]], "k_crust() (in module networkx.algorithms.core)": [[437, "networkx.algorithms.core.k_crust"]], "k_shell() (in module networkx.algorithms.core)": [[438, "networkx.algorithms.core.k_shell"]], "k_truss() (in module networkx.algorithms.core)": [[439, "networkx.algorithms.core.k_truss"]], "onion_layers() (in module networkx.algorithms.core)": [[440, "networkx.algorithms.core.onion_layers"]], "is_edge_cover() (in module networkx.algorithms.covering)": [[441, "networkx.algorithms.covering.is_edge_cover"]], "min_edge_cover() (in module networkx.algorithms.covering)": [[442, "networkx.algorithms.covering.min_edge_cover"]], "boundary_expansion() (in module networkx.algorithms.cuts)": [[443, "networkx.algorithms.cuts.boundary_expansion"]], "conductance() (in module networkx.algorithms.cuts)": [[444, "networkx.algorithms.cuts.conductance"]], "cut_size() (in module networkx.algorithms.cuts)": [[445, "networkx.algorithms.cuts.cut_size"]], "edge_expansion() (in module networkx.algorithms.cuts)": [[446, "networkx.algorithms.cuts.edge_expansion"]], "mixing_expansion() (in module networkx.algorithms.cuts)": [[447, "networkx.algorithms.cuts.mixing_expansion"]], "node_expansion() (in module networkx.algorithms.cuts)": [[448, "networkx.algorithms.cuts.node_expansion"]], "normalized_cut_size() (in module networkx.algorithms.cuts)": [[449, "networkx.algorithms.cuts.normalized_cut_size"]], "volume() (in module networkx.algorithms.cuts)": [[450, "networkx.algorithms.cuts.volume"]], "cycle_basis() (in module networkx.algorithms.cycles)": [[451, "networkx.algorithms.cycles.cycle_basis"]], "find_cycle() (in module networkx.algorithms.cycles)": [[452, "networkx.algorithms.cycles.find_cycle"]], "minimum_cycle_basis() (in module networkx.algorithms.cycles)": [[453, "networkx.algorithms.cycles.minimum_cycle_basis"]], "recursive_simple_cycles() (in module networkx.algorithms.cycles)": [[454, "networkx.algorithms.cycles.recursive_simple_cycles"]], "simple_cycles() (in module networkx.algorithms.cycles)": [[455, "networkx.algorithms.cycles.simple_cycles"]], "d_separated() (in module networkx.algorithms.d_separation)": [[456, "networkx.algorithms.d_separation.d_separated"]], "all_topological_sorts() (in module networkx.algorithms.dag)": [[457, "networkx.algorithms.dag.all_topological_sorts"]], "ancestors() (in module networkx.algorithms.dag)": [[458, "networkx.algorithms.dag.ancestors"]], "antichains() (in module networkx.algorithms.dag)": [[459, "networkx.algorithms.dag.antichains"]], "dag_longest_path() (in module networkx.algorithms.dag)": [[460, "networkx.algorithms.dag.dag_longest_path"]], "dag_longest_path_length() (in module networkx.algorithms.dag)": [[461, "networkx.algorithms.dag.dag_longest_path_length"]], "dag_to_branching() (in module networkx.algorithms.dag)": [[462, "networkx.algorithms.dag.dag_to_branching"]], "descendants() (in module networkx.algorithms.dag)": [[463, "networkx.algorithms.dag.descendants"]], "is_aperiodic() (in module networkx.algorithms.dag)": [[464, "networkx.algorithms.dag.is_aperiodic"]], "is_directed_acyclic_graph() (in module networkx.algorithms.dag)": [[465, "networkx.algorithms.dag.is_directed_acyclic_graph"]], "lexicographical_topological_sort() (in module networkx.algorithms.dag)": [[466, "networkx.algorithms.dag.lexicographical_topological_sort"]], "topological_generations() (in module networkx.algorithms.dag)": [[467, "networkx.algorithms.dag.topological_generations"]], "topological_sort() (in module networkx.algorithms.dag)": [[468, "networkx.algorithms.dag.topological_sort"]], "transitive_closure() (in module networkx.algorithms.dag)": [[469, "networkx.algorithms.dag.transitive_closure"]], "transitive_closure_dag() (in module networkx.algorithms.dag)": [[470, "networkx.algorithms.dag.transitive_closure_dag"]], "transitive_reduction() (in module networkx.algorithms.dag)": [[471, "networkx.algorithms.dag.transitive_reduction"]], "barycenter() (in module networkx.algorithms.distance_measures)": [[472, "networkx.algorithms.distance_measures.barycenter"]], "center() (in module networkx.algorithms.distance_measures)": [[473, "networkx.algorithms.distance_measures.center"]], "diameter() (in module networkx.algorithms.distance_measures)": [[474, "networkx.algorithms.distance_measures.diameter"]], "eccentricity() (in module networkx.algorithms.distance_measures)": [[475, "networkx.algorithms.distance_measures.eccentricity"]], "periphery() (in module networkx.algorithms.distance_measures)": [[476, "networkx.algorithms.distance_measures.periphery"]], "radius() (in module networkx.algorithms.distance_measures)": [[477, "networkx.algorithms.distance_measures.radius"]], "resistance_distance() (in module networkx.algorithms.distance_measures)": [[478, "networkx.algorithms.distance_measures.resistance_distance"]], "global_parameters() (in module networkx.algorithms.distance_regular)": [[479, "networkx.algorithms.distance_regular.global_parameters"]], "intersection_array() (in module networkx.algorithms.distance_regular)": [[480, "networkx.algorithms.distance_regular.intersection_array"]], "is_distance_regular() (in module networkx.algorithms.distance_regular)": [[481, "networkx.algorithms.distance_regular.is_distance_regular"]], "is_strongly_regular() (in module networkx.algorithms.distance_regular)": [[482, "networkx.algorithms.distance_regular.is_strongly_regular"]], "dominance_frontiers() (in module networkx.algorithms.dominance)": [[483, "networkx.algorithms.dominance.dominance_frontiers"]], "immediate_dominators() (in module networkx.algorithms.dominance)": [[484, "networkx.algorithms.dominance.immediate_dominators"]], "dominating_set() (in module networkx.algorithms.dominating)": [[485, "networkx.algorithms.dominating.dominating_set"]], "is_dominating_set() (in module networkx.algorithms.dominating)": [[486, "networkx.algorithms.dominating.is_dominating_set"]], "efficiency() (in module networkx.algorithms.efficiency_measures)": [[487, "networkx.algorithms.efficiency_measures.efficiency"]], "global_efficiency() (in module networkx.algorithms.efficiency_measures)": [[488, "networkx.algorithms.efficiency_measures.global_efficiency"]], "local_efficiency() (in module networkx.algorithms.efficiency_measures)": [[489, "networkx.algorithms.efficiency_measures.local_efficiency"]], "eulerian_circuit() (in module networkx.algorithms.euler)": [[490, "networkx.algorithms.euler.eulerian_circuit"]], "eulerian_path() (in module networkx.algorithms.euler)": [[491, "networkx.algorithms.euler.eulerian_path"]], "eulerize() (in module networkx.algorithms.euler)": [[492, "networkx.algorithms.euler.eulerize"]], "has_eulerian_path() (in module networkx.algorithms.euler)": [[493, "networkx.algorithms.euler.has_eulerian_path"]], "is_eulerian() (in module networkx.algorithms.euler)": [[494, "networkx.algorithms.euler.is_eulerian"]], "is_semieulerian() (in module networkx.algorithms.euler)": [[495, "networkx.algorithms.euler.is_semieulerian"]], "boykov_kolmogorov() (in module networkx.algorithms.flow)": [[496, "networkx.algorithms.flow.boykov_kolmogorov"]], "build_residual_network() (in module networkx.algorithms.flow)": [[497, "networkx.algorithms.flow.build_residual_network"]], "capacity_scaling() (in module networkx.algorithms.flow)": [[498, "networkx.algorithms.flow.capacity_scaling"]], "cost_of_flow() (in module networkx.algorithms.flow)": [[499, "networkx.algorithms.flow.cost_of_flow"]], "dinitz() (in module networkx.algorithms.flow)": [[500, "networkx.algorithms.flow.dinitz"]], "edmonds_karp() (in module networkx.algorithms.flow)": [[501, "networkx.algorithms.flow.edmonds_karp"]], "gomory_hu_tree() (in module networkx.algorithms.flow)": [[502, "networkx.algorithms.flow.gomory_hu_tree"]], "max_flow_min_cost() (in module networkx.algorithms.flow)": [[503, "networkx.algorithms.flow.max_flow_min_cost"]], "maximum_flow() (in module networkx.algorithms.flow)": [[504, "networkx.algorithms.flow.maximum_flow"]], "maximum_flow_value() (in module networkx.algorithms.flow)": [[505, "networkx.algorithms.flow.maximum_flow_value"]], "min_cost_flow() (in module networkx.algorithms.flow)": [[506, "networkx.algorithms.flow.min_cost_flow"]], "min_cost_flow_cost() (in module networkx.algorithms.flow)": [[507, "networkx.algorithms.flow.min_cost_flow_cost"]], "minimum_cut() (in module networkx.algorithms.flow)": [[508, "networkx.algorithms.flow.minimum_cut"]], "minimum_cut_value() (in module networkx.algorithms.flow)": [[509, "networkx.algorithms.flow.minimum_cut_value"]], "network_simplex() (in module networkx.algorithms.flow)": [[510, "networkx.algorithms.flow.network_simplex"]], "preflow_push() (in module networkx.algorithms.flow)": [[511, "networkx.algorithms.flow.preflow_push"]], "shortest_augmenting_path() (in module networkx.algorithms.flow)": [[512, "networkx.algorithms.flow.shortest_augmenting_path"]], "weisfeiler_lehman_graph_hash() (in module networkx.algorithms.graph_hashing)": [[513, "networkx.algorithms.graph_hashing.weisfeiler_lehman_graph_hash"]], "weisfeiler_lehman_subgraph_hashes() (in module networkx.algorithms.graph_hashing)": [[514, "networkx.algorithms.graph_hashing.weisfeiler_lehman_subgraph_hashes"]], "is_digraphical() (in module networkx.algorithms.graphical)": [[515, "networkx.algorithms.graphical.is_digraphical"]], "is_graphical() (in module networkx.algorithms.graphical)": [[516, "networkx.algorithms.graphical.is_graphical"]], "is_multigraphical() (in module networkx.algorithms.graphical)": [[517, "networkx.algorithms.graphical.is_multigraphical"]], "is_pseudographical() (in module networkx.algorithms.graphical)": [[518, "networkx.algorithms.graphical.is_pseudographical"]], "is_valid_degree_sequence_erdos_gallai() (in module networkx.algorithms.graphical)": [[519, "networkx.algorithms.graphical.is_valid_degree_sequence_erdos_gallai"]], "is_valid_degree_sequence_havel_hakimi() (in module networkx.algorithms.graphical)": [[520, "networkx.algorithms.graphical.is_valid_degree_sequence_havel_hakimi"]], "flow_hierarchy() (in module networkx.algorithms.hierarchy)": [[521, "networkx.algorithms.hierarchy.flow_hierarchy"]], "is_kl_connected() (in module networkx.algorithms.hybrid)": [[522, "networkx.algorithms.hybrid.is_kl_connected"]], "kl_connected_subgraph() (in module networkx.algorithms.hybrid)": [[523, "networkx.algorithms.hybrid.kl_connected_subgraph"]], "is_isolate() (in module networkx.algorithms.isolate)": [[524, "networkx.algorithms.isolate.is_isolate"]], "isolates() (in module networkx.algorithms.isolate)": [[525, "networkx.algorithms.isolate.isolates"]], "number_of_isolates() (in module networkx.algorithms.isolate)": [[526, "networkx.algorithms.isolate.number_of_isolates"]], "__init__() (digraphmatcher method)": [[527, "networkx.algorithms.isomorphism.DiGraphMatcher.__init__"]], "candidate_pairs_iter() (digraphmatcher method)": [[528, "networkx.algorithms.isomorphism.DiGraphMatcher.candidate_pairs_iter"]], "initialize() (digraphmatcher method)": [[529, "networkx.algorithms.isomorphism.DiGraphMatcher.initialize"]], "is_isomorphic() (digraphmatcher method)": [[530, "networkx.algorithms.isomorphism.DiGraphMatcher.is_isomorphic"]], "isomorphisms_iter() (digraphmatcher method)": [[531, "networkx.algorithms.isomorphism.DiGraphMatcher.isomorphisms_iter"]], "match() (digraphmatcher method)": [[532, "networkx.algorithms.isomorphism.DiGraphMatcher.match"]], "semantic_feasibility() (digraphmatcher method)": [[533, "networkx.algorithms.isomorphism.DiGraphMatcher.semantic_feasibility"]], "subgraph_is_isomorphic() (digraphmatcher method)": [[534, "networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_is_isomorphic"]], "subgraph_isomorphisms_iter() (digraphmatcher method)": [[535, "networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_isomorphisms_iter"]], "syntactic_feasibility() (digraphmatcher method)": [[536, "networkx.algorithms.isomorphism.DiGraphMatcher.syntactic_feasibility"]], "__init__() (graphmatcher method)": [[537, "networkx.algorithms.isomorphism.GraphMatcher.__init__"]], "candidate_pairs_iter() (graphmatcher method)": [[538, "networkx.algorithms.isomorphism.GraphMatcher.candidate_pairs_iter"]], "initialize() (graphmatcher method)": [[539, "networkx.algorithms.isomorphism.GraphMatcher.initialize"]], "is_isomorphic() (graphmatcher method)": [[540, "networkx.algorithms.isomorphism.GraphMatcher.is_isomorphic"]], "isomorphisms_iter() (graphmatcher method)": [[541, "networkx.algorithms.isomorphism.GraphMatcher.isomorphisms_iter"]], "match() (graphmatcher method)": [[542, "networkx.algorithms.isomorphism.GraphMatcher.match"]], "semantic_feasibility() (graphmatcher method)": [[543, "networkx.algorithms.isomorphism.GraphMatcher.semantic_feasibility"]], "subgraph_is_isomorphic() (graphmatcher method)": [[544, "networkx.algorithms.isomorphism.GraphMatcher.subgraph_is_isomorphic"]], "subgraph_isomorphisms_iter() (graphmatcher method)": [[545, "networkx.algorithms.isomorphism.GraphMatcher.subgraph_isomorphisms_iter"]], "syntactic_feasibility() (graphmatcher method)": [[546, "networkx.algorithms.isomorphism.GraphMatcher.syntactic_feasibility"]], "ismags (class in networkx.algorithms.isomorphism)": [[547, "networkx.algorithms.isomorphism.ISMAGS"]], "__init__() (ismags method)": [[547, "networkx.algorithms.isomorphism.ISMAGS.__init__"]], "categorical_edge_match() (in module networkx.algorithms.isomorphism)": [[548, "networkx.algorithms.isomorphism.categorical_edge_match"]], "categorical_multiedge_match() (in module networkx.algorithms.isomorphism)": [[549, "networkx.algorithms.isomorphism.categorical_multiedge_match"]], "categorical_node_match() (in module networkx.algorithms.isomorphism)": [[550, "networkx.algorithms.isomorphism.categorical_node_match"]], "could_be_isomorphic() (in module networkx.algorithms.isomorphism)": [[551, "networkx.algorithms.isomorphism.could_be_isomorphic"]], "fast_could_be_isomorphic() (in module networkx.algorithms.isomorphism)": [[552, "networkx.algorithms.isomorphism.fast_could_be_isomorphic"]], "faster_could_be_isomorphic() (in module networkx.algorithms.isomorphism)": [[553, "networkx.algorithms.isomorphism.faster_could_be_isomorphic"]], "generic_edge_match() (in module networkx.algorithms.isomorphism)": [[554, "networkx.algorithms.isomorphism.generic_edge_match"]], "generic_multiedge_match() (in module networkx.algorithms.isomorphism)": [[555, "networkx.algorithms.isomorphism.generic_multiedge_match"]], "generic_node_match() (in module networkx.algorithms.isomorphism)": [[556, "networkx.algorithms.isomorphism.generic_node_match"]], "is_isomorphic() (in module networkx.algorithms.isomorphism)": [[557, "networkx.algorithms.isomorphism.is_isomorphic"]], "numerical_edge_match() (in module networkx.algorithms.isomorphism)": [[558, "networkx.algorithms.isomorphism.numerical_edge_match"]], "numerical_multiedge_match() (in module networkx.algorithms.isomorphism)": [[559, "networkx.algorithms.isomorphism.numerical_multiedge_match"]], "numerical_node_match() (in module networkx.algorithms.isomorphism)": [[560, "networkx.algorithms.isomorphism.numerical_node_match"]], "rooted_tree_isomorphism() (in module networkx.algorithms.isomorphism.tree_isomorphism)": [[561, "networkx.algorithms.isomorphism.tree_isomorphism.rooted_tree_isomorphism"]], "tree_isomorphism() (in module networkx.algorithms.isomorphism.tree_isomorphism)": [[562, "networkx.algorithms.isomorphism.tree_isomorphism.tree_isomorphism"]], "vf2pp_all_isomorphisms() (in module networkx.algorithms.isomorphism.vf2pp)": [[563, "networkx.algorithms.isomorphism.vf2pp.vf2pp_all_isomorphisms"]], "vf2pp_is_isomorphic() (in module networkx.algorithms.isomorphism.vf2pp)": [[564, "networkx.algorithms.isomorphism.vf2pp.vf2pp_is_isomorphic"]], "vf2pp_isomorphism() (in module networkx.algorithms.isomorphism.vf2pp)": [[565, "networkx.algorithms.isomorphism.vf2pp.vf2pp_isomorphism"]], "hits() (in module networkx.algorithms.link_analysis.hits_alg)": [[566, "networkx.algorithms.link_analysis.hits_alg.hits"]], "google_matrix() (in module networkx.algorithms.link_analysis.pagerank_alg)": [[567, "networkx.algorithms.link_analysis.pagerank_alg.google_matrix"]], "pagerank() (in module networkx.algorithms.link_analysis.pagerank_alg)": [[568, "networkx.algorithms.link_analysis.pagerank_alg.pagerank"]], "adamic_adar_index() (in module networkx.algorithms.link_prediction)": [[569, "networkx.algorithms.link_prediction.adamic_adar_index"]], "cn_soundarajan_hopcroft() (in module networkx.algorithms.link_prediction)": [[570, "networkx.algorithms.link_prediction.cn_soundarajan_hopcroft"]], "common_neighbor_centrality() (in module networkx.algorithms.link_prediction)": [[571, "networkx.algorithms.link_prediction.common_neighbor_centrality"]], "jaccard_coefficient() (in module networkx.algorithms.link_prediction)": [[572, "networkx.algorithms.link_prediction.jaccard_coefficient"]], "preferential_attachment() (in module networkx.algorithms.link_prediction)": [[573, "networkx.algorithms.link_prediction.preferential_attachment"]], "ra_index_soundarajan_hopcroft() (in module networkx.algorithms.link_prediction)": [[574, "networkx.algorithms.link_prediction.ra_index_soundarajan_hopcroft"]], "resource_allocation_index() (in module networkx.algorithms.link_prediction)": [[575, "networkx.algorithms.link_prediction.resource_allocation_index"]], "within_inter_cluster() (in module networkx.algorithms.link_prediction)": [[576, "networkx.algorithms.link_prediction.within_inter_cluster"]], "all_pairs_lowest_common_ancestor() (in module networkx.algorithms.lowest_common_ancestors)": [[577, "networkx.algorithms.lowest_common_ancestors.all_pairs_lowest_common_ancestor"]], "lowest_common_ancestor() (in module networkx.algorithms.lowest_common_ancestors)": [[578, "networkx.algorithms.lowest_common_ancestors.lowest_common_ancestor"]], "tree_all_pairs_lowest_common_ancestor() (in module networkx.algorithms.lowest_common_ancestors)": [[579, "networkx.algorithms.lowest_common_ancestors.tree_all_pairs_lowest_common_ancestor"]], "is_matching() (in module networkx.algorithms.matching)": [[580, "networkx.algorithms.matching.is_matching"]], "is_maximal_matching() (in module networkx.algorithms.matching)": [[581, "networkx.algorithms.matching.is_maximal_matching"]], "is_perfect_matching() (in module networkx.algorithms.matching)": [[582, "networkx.algorithms.matching.is_perfect_matching"]], "max_weight_matching() (in module networkx.algorithms.matching)": [[583, "networkx.algorithms.matching.max_weight_matching"]], "maximal_matching() (in module networkx.algorithms.matching)": [[584, "networkx.algorithms.matching.maximal_matching"]], "min_weight_matching() (in module networkx.algorithms.matching)": [[585, "networkx.algorithms.matching.min_weight_matching"]], "contracted_edge() (in module networkx.algorithms.minors)": [[586, "networkx.algorithms.minors.contracted_edge"]], "contracted_nodes() (in module networkx.algorithms.minors)": [[587, "networkx.algorithms.minors.contracted_nodes"]], "equivalence_classes() (in module networkx.algorithms.minors)": [[588, "networkx.algorithms.minors.equivalence_classes"]], "identified_nodes() (in module networkx.algorithms.minors)": [[589, "networkx.algorithms.minors.identified_nodes"]], "quotient_graph() (in module networkx.algorithms.minors)": [[590, "networkx.algorithms.minors.quotient_graph"]], "maximal_independent_set() (in module networkx.algorithms.mis)": [[591, "networkx.algorithms.mis.maximal_independent_set"]], "moral_graph() (in module networkx.algorithms.moral)": [[592, "networkx.algorithms.moral.moral_graph"]], "harmonic_function() (in module networkx.algorithms.node_classification)": [[593, "networkx.algorithms.node_classification.harmonic_function"]], "local_and_global_consistency() (in module networkx.algorithms.node_classification)": [[594, "networkx.algorithms.node_classification.local_and_global_consistency"]], "non_randomness() (in module networkx.algorithms.non_randomness)": [[595, "networkx.algorithms.non_randomness.non_randomness"]], "compose_all() (in module networkx.algorithms.operators.all)": [[596, "networkx.algorithms.operators.all.compose_all"]], "disjoint_union_all() (in module networkx.algorithms.operators.all)": [[597, "networkx.algorithms.operators.all.disjoint_union_all"]], "intersection_all() (in module networkx.algorithms.operators.all)": [[598, "networkx.algorithms.operators.all.intersection_all"]], "union_all() (in module networkx.algorithms.operators.all)": [[599, "networkx.algorithms.operators.all.union_all"]], "compose() (in module networkx.algorithms.operators.binary)": [[600, "networkx.algorithms.operators.binary.compose"]], "difference() (in module networkx.algorithms.operators.binary)": [[601, "networkx.algorithms.operators.binary.difference"]], "disjoint_union() (in module networkx.algorithms.operators.binary)": [[602, "networkx.algorithms.operators.binary.disjoint_union"]], "full_join() (in module networkx.algorithms.operators.binary)": [[603, "networkx.algorithms.operators.binary.full_join"]], "intersection() (in module networkx.algorithms.operators.binary)": [[604, "networkx.algorithms.operators.binary.intersection"]], "symmetric_difference() (in module networkx.algorithms.operators.binary)": [[605, "networkx.algorithms.operators.binary.symmetric_difference"]], "union() (in module networkx.algorithms.operators.binary)": [[606, "networkx.algorithms.operators.binary.union"]], "cartesian_product() (in module networkx.algorithms.operators.product)": [[607, "networkx.algorithms.operators.product.cartesian_product"]], "corona_product() (in module networkx.algorithms.operators.product)": [[608, "networkx.algorithms.operators.product.corona_product"]], "lexicographic_product() (in module networkx.algorithms.operators.product)": [[609, "networkx.algorithms.operators.product.lexicographic_product"]], "power() (in module networkx.algorithms.operators.product)": [[610, "networkx.algorithms.operators.product.power"]], "rooted_product() (in module networkx.algorithms.operators.product)": [[611, "networkx.algorithms.operators.product.rooted_product"]], "strong_product() (in module networkx.algorithms.operators.product)": [[612, "networkx.algorithms.operators.product.strong_product"]], "tensor_product() (in module networkx.algorithms.operators.product)": [[613, "networkx.algorithms.operators.product.tensor_product"]], "complement() (in module networkx.algorithms.operators.unary)": [[614, "networkx.algorithms.operators.unary.complement"]], "reverse() (in module networkx.algorithms.operators.unary)": [[615, "networkx.algorithms.operators.unary.reverse"]], "combinatorial_embedding_to_pos() (in module networkx.algorithms.planar_drawing)": [[616, "networkx.algorithms.planar_drawing.combinatorial_embedding_to_pos"]], "planarembedding (class in networkx.algorithms.planarity)": [[617, "networkx.algorithms.planarity.PlanarEmbedding"]], "__init__() (planarembedding method)": [[617, "networkx.algorithms.planarity.PlanarEmbedding.__init__"]], "check_planarity() (in module networkx.algorithms.planarity)": [[618, "networkx.algorithms.planarity.check_planarity"]], "is_planar() (in module networkx.algorithms.planarity)": [[619, "networkx.algorithms.planarity.is_planar"]], "chromatic_polynomial() (in module networkx.algorithms.polynomials)": [[620, "networkx.algorithms.polynomials.chromatic_polynomial"]], "tutte_polynomial() (in module networkx.algorithms.polynomials)": [[621, "networkx.algorithms.polynomials.tutte_polynomial"]], "overall_reciprocity() (in module networkx.algorithms.reciprocity)": [[622, "networkx.algorithms.reciprocity.overall_reciprocity"]], "reciprocity() (in module networkx.algorithms.reciprocity)": [[623, "networkx.algorithms.reciprocity.reciprocity"]], "is_k_regular() (in module networkx.algorithms.regular)": [[624, "networkx.algorithms.regular.is_k_regular"]], "is_regular() (in module networkx.algorithms.regular)": [[625, "networkx.algorithms.regular.is_regular"]], "k_factor() (in module networkx.algorithms.regular)": [[626, "networkx.algorithms.regular.k_factor"]], "rich_club_coefficient() (in module networkx.algorithms.richclub)": [[627, "networkx.algorithms.richclub.rich_club_coefficient"]], "astar_path() (in module networkx.algorithms.shortest_paths.astar)": [[628, "networkx.algorithms.shortest_paths.astar.astar_path"]], "astar_path_length() (in module networkx.algorithms.shortest_paths.astar)": [[629, "networkx.algorithms.shortest_paths.astar.astar_path_length"]], "floyd_warshall() (in module networkx.algorithms.shortest_paths.dense)": [[630, "networkx.algorithms.shortest_paths.dense.floyd_warshall"]], "floyd_warshall_numpy() (in module networkx.algorithms.shortest_paths.dense)": [[631, "networkx.algorithms.shortest_paths.dense.floyd_warshall_numpy"]], "floyd_warshall_predecessor_and_distance() (in module networkx.algorithms.shortest_paths.dense)": [[632, "networkx.algorithms.shortest_paths.dense.floyd_warshall_predecessor_and_distance"]], "reconstruct_path() (in module networkx.algorithms.shortest_paths.dense)": [[633, "networkx.algorithms.shortest_paths.dense.reconstruct_path"]], "all_shortest_paths() (in module networkx.algorithms.shortest_paths.generic)": [[634, "networkx.algorithms.shortest_paths.generic.all_shortest_paths"]], "average_shortest_path_length() (in module networkx.algorithms.shortest_paths.generic)": [[635, "networkx.algorithms.shortest_paths.generic.average_shortest_path_length"]], "has_path() (in module networkx.algorithms.shortest_paths.generic)": [[636, "networkx.algorithms.shortest_paths.generic.has_path"]], "shortest_path() (in module networkx.algorithms.shortest_paths.generic)": [[637, "networkx.algorithms.shortest_paths.generic.shortest_path"]], "shortest_path_length() (in module networkx.algorithms.shortest_paths.generic)": [[638, "networkx.algorithms.shortest_paths.generic.shortest_path_length"]], "all_pairs_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[639, "networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path"]], "all_pairs_shortest_path_length() (in module networkx.algorithms.shortest_paths.unweighted)": [[640, "networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path_length"]], "bidirectional_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[641, "networkx.algorithms.shortest_paths.unweighted.bidirectional_shortest_path"]], "predecessor() (in module networkx.algorithms.shortest_paths.unweighted)": [[642, "networkx.algorithms.shortest_paths.unweighted.predecessor"]], "single_source_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[643, "networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path"]], "single_source_shortest_path_length() (in module networkx.algorithms.shortest_paths.unweighted)": [[644, "networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path_length"]], "single_target_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[645, "networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path"]], "single_target_shortest_path_length() (in module networkx.algorithms.shortest_paths.unweighted)": [[646, "networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path_length"]], "all_pairs_bellman_ford_path() (in module networkx.algorithms.shortest_paths.weighted)": [[647, "networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path"]], "all_pairs_bellman_ford_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[648, "networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path_length"]], "all_pairs_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[649, "networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra"]], "all_pairs_dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[650, "networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path"]], "all_pairs_dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[651, "networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path_length"]], "bellman_ford_path() (in module networkx.algorithms.shortest_paths.weighted)": [[652, "networkx.algorithms.shortest_paths.weighted.bellman_ford_path"]], "bellman_ford_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[653, "networkx.algorithms.shortest_paths.weighted.bellman_ford_path_length"]], "bellman_ford_predecessor_and_distance() (in module networkx.algorithms.shortest_paths.weighted)": [[654, "networkx.algorithms.shortest_paths.weighted.bellman_ford_predecessor_and_distance"]], "bidirectional_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[655, "networkx.algorithms.shortest_paths.weighted.bidirectional_dijkstra"]], "dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[656, "networkx.algorithms.shortest_paths.weighted.dijkstra_path"]], "dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[657, "networkx.algorithms.shortest_paths.weighted.dijkstra_path_length"]], "dijkstra_predecessor_and_distance() (in module networkx.algorithms.shortest_paths.weighted)": [[658, "networkx.algorithms.shortest_paths.weighted.dijkstra_predecessor_and_distance"]], "find_negative_cycle() (in module networkx.algorithms.shortest_paths.weighted)": [[659, "networkx.algorithms.shortest_paths.weighted.find_negative_cycle"]], "goldberg_radzik() (in module networkx.algorithms.shortest_paths.weighted)": [[660, "networkx.algorithms.shortest_paths.weighted.goldberg_radzik"]], "johnson() (in module networkx.algorithms.shortest_paths.weighted)": [[661, "networkx.algorithms.shortest_paths.weighted.johnson"]], "multi_source_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[662, "networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra"]], "multi_source_dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[663, "networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path"]], "multi_source_dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[664, "networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path_length"]], "negative_edge_cycle() (in module networkx.algorithms.shortest_paths.weighted)": [[665, "networkx.algorithms.shortest_paths.weighted.negative_edge_cycle"]], "single_source_bellman_ford() (in module networkx.algorithms.shortest_paths.weighted)": [[666, "networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford"]], "single_source_bellman_ford_path() (in module networkx.algorithms.shortest_paths.weighted)": [[667, "networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path"]], "single_source_bellman_ford_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[668, "networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path_length"]], "single_source_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[669, "networkx.algorithms.shortest_paths.weighted.single_source_dijkstra"]], "single_source_dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[670, "networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path"]], "single_source_dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[671, "networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path_length"]], "generate_random_paths() (in module networkx.algorithms.similarity)": [[672, "networkx.algorithms.similarity.generate_random_paths"]], "graph_edit_distance() (in module networkx.algorithms.similarity)": [[673, "networkx.algorithms.similarity.graph_edit_distance"]], "optimal_edit_paths() (in module networkx.algorithms.similarity)": [[674, "networkx.algorithms.similarity.optimal_edit_paths"]], "optimize_edit_paths() (in module networkx.algorithms.similarity)": [[675, "networkx.algorithms.similarity.optimize_edit_paths"]], "optimize_graph_edit_distance() (in module networkx.algorithms.similarity)": [[676, "networkx.algorithms.similarity.optimize_graph_edit_distance"]], "panther_similarity() (in module networkx.algorithms.similarity)": [[677, "networkx.algorithms.similarity.panther_similarity"]], "simrank_similarity() (in module networkx.algorithms.similarity)": [[678, "networkx.algorithms.similarity.simrank_similarity"]], "all_simple_edge_paths() (in module networkx.algorithms.simple_paths)": [[679, "networkx.algorithms.simple_paths.all_simple_edge_paths"]], "all_simple_paths() (in module networkx.algorithms.simple_paths)": [[680, "networkx.algorithms.simple_paths.all_simple_paths"]], "is_simple_path() (in module networkx.algorithms.simple_paths)": [[681, "networkx.algorithms.simple_paths.is_simple_path"]], "shortest_simple_paths() (in module networkx.algorithms.simple_paths)": [[682, "networkx.algorithms.simple_paths.shortest_simple_paths"]], "lattice_reference() (in module networkx.algorithms.smallworld)": [[683, "networkx.algorithms.smallworld.lattice_reference"]], "omega() (in module networkx.algorithms.smallworld)": [[684, "networkx.algorithms.smallworld.omega"]], "random_reference() (in module networkx.algorithms.smallworld)": [[685, "networkx.algorithms.smallworld.random_reference"]], "sigma() (in module networkx.algorithms.smallworld)": [[686, "networkx.algorithms.smallworld.sigma"]], "s_metric() (in module networkx.algorithms.smetric)": [[687, "networkx.algorithms.smetric.s_metric"]], "spanner() (in module networkx.algorithms.sparsifiers)": [[688, "networkx.algorithms.sparsifiers.spanner"]], "constraint() (in module networkx.algorithms.structuralholes)": [[689, "networkx.algorithms.structuralholes.constraint"]], "effective_size() (in module networkx.algorithms.structuralholes)": [[690, "networkx.algorithms.structuralholes.effective_size"]], "local_constraint() (in module networkx.algorithms.structuralholes)": [[691, "networkx.algorithms.structuralholes.local_constraint"]], "dedensify() (in module networkx.algorithms.summarization)": [[692, "networkx.algorithms.summarization.dedensify"]], "snap_aggregation() (in module networkx.algorithms.summarization)": [[693, "networkx.algorithms.summarization.snap_aggregation"]], "connected_double_edge_swap() (in module networkx.algorithms.swap)": [[694, "networkx.algorithms.swap.connected_double_edge_swap"]], "directed_edge_swap() (in module networkx.algorithms.swap)": [[695, "networkx.algorithms.swap.directed_edge_swap"]], "double_edge_swap() (in module networkx.algorithms.swap)": [[696, "networkx.algorithms.swap.double_edge_swap"]], "find_threshold_graph() (in module networkx.algorithms.threshold)": [[697, "networkx.algorithms.threshold.find_threshold_graph"]], "is_threshold_graph() (in module networkx.algorithms.threshold)": [[698, "networkx.algorithms.threshold.is_threshold_graph"]], "hamiltonian_path() (in module networkx.algorithms.tournament)": [[699, "networkx.algorithms.tournament.hamiltonian_path"]], "is_reachable() (in module networkx.algorithms.tournament)": [[700, "networkx.algorithms.tournament.is_reachable"]], "is_strongly_connected() (in module networkx.algorithms.tournament)": [[701, "networkx.algorithms.tournament.is_strongly_connected"]], "is_tournament() (in module networkx.algorithms.tournament)": [[702, "networkx.algorithms.tournament.is_tournament"]], "random_tournament() (in module networkx.algorithms.tournament)": [[703, "networkx.algorithms.tournament.random_tournament"]], "score_sequence() (in module networkx.algorithms.tournament)": [[704, "networkx.algorithms.tournament.score_sequence"]], "bfs_beam_edges() (in module networkx.algorithms.traversal.beamsearch)": [[705, "networkx.algorithms.traversal.beamsearch.bfs_beam_edges"]], "bfs_edges() (in module networkx.algorithms.traversal.breadth_first_search)": [[706, "networkx.algorithms.traversal.breadth_first_search.bfs_edges"]], "bfs_layers() (in module networkx.algorithms.traversal.breadth_first_search)": [[707, "networkx.algorithms.traversal.breadth_first_search.bfs_layers"]], "bfs_predecessors() (in module networkx.algorithms.traversal.breadth_first_search)": [[708, "networkx.algorithms.traversal.breadth_first_search.bfs_predecessors"]], "bfs_successors() (in module networkx.algorithms.traversal.breadth_first_search)": [[709, "networkx.algorithms.traversal.breadth_first_search.bfs_successors"]], "bfs_tree() (in module networkx.algorithms.traversal.breadth_first_search)": [[710, "networkx.algorithms.traversal.breadth_first_search.bfs_tree"]], "descendants_at_distance() (in module networkx.algorithms.traversal.breadth_first_search)": [[711, "networkx.algorithms.traversal.breadth_first_search.descendants_at_distance"]], "dfs_edges() (in module networkx.algorithms.traversal.depth_first_search)": [[712, "networkx.algorithms.traversal.depth_first_search.dfs_edges"]], "dfs_labeled_edges() (in module networkx.algorithms.traversal.depth_first_search)": [[713, "networkx.algorithms.traversal.depth_first_search.dfs_labeled_edges"]], "dfs_postorder_nodes() (in module networkx.algorithms.traversal.depth_first_search)": [[714, "networkx.algorithms.traversal.depth_first_search.dfs_postorder_nodes"]], "dfs_predecessors() (in module networkx.algorithms.traversal.depth_first_search)": [[715, "networkx.algorithms.traversal.depth_first_search.dfs_predecessors"]], "dfs_preorder_nodes() (in module networkx.algorithms.traversal.depth_first_search)": [[716, "networkx.algorithms.traversal.depth_first_search.dfs_preorder_nodes"]], "dfs_successors() (in module networkx.algorithms.traversal.depth_first_search)": [[717, "networkx.algorithms.traversal.depth_first_search.dfs_successors"]], "dfs_tree() (in module networkx.algorithms.traversal.depth_first_search)": [[718, "networkx.algorithms.traversal.depth_first_search.dfs_tree"]], "edge_bfs() (in module networkx.algorithms.traversal.edgebfs)": [[719, "networkx.algorithms.traversal.edgebfs.edge_bfs"]], "edge_dfs() (in module networkx.algorithms.traversal.edgedfs)": [[720, "networkx.algorithms.traversal.edgedfs.edge_dfs"]], "arborescenceiterator (class in networkx.algorithms.tree.branchings)": [[721, "networkx.algorithms.tree.branchings.ArborescenceIterator"]], "__init__() (arborescenceiterator method)": [[721, "networkx.algorithms.tree.branchings.ArborescenceIterator.__init__"]], "edmonds (class in networkx.algorithms.tree.branchings)": [[722, "networkx.algorithms.tree.branchings.Edmonds"]], "__init__() (edmonds method)": [[722, "networkx.algorithms.tree.branchings.Edmonds.__init__"]], "branching_weight() (in module networkx.algorithms.tree.branchings)": [[723, "networkx.algorithms.tree.branchings.branching_weight"]], "greedy_branching() (in module networkx.algorithms.tree.branchings)": [[724, "networkx.algorithms.tree.branchings.greedy_branching"]], "maximum_branching() (in module networkx.algorithms.tree.branchings)": [[725, "networkx.algorithms.tree.branchings.maximum_branching"]], "maximum_spanning_arborescence() (in module networkx.algorithms.tree.branchings)": [[726, "networkx.algorithms.tree.branchings.maximum_spanning_arborescence"]], "minimum_branching() (in module networkx.algorithms.tree.branchings)": [[727, "networkx.algorithms.tree.branchings.minimum_branching"]], "minimum_spanning_arborescence() (in module networkx.algorithms.tree.branchings)": [[728, "networkx.algorithms.tree.branchings.minimum_spanning_arborescence"]], "notatree": [[729, "networkx.algorithms.tree.coding.NotATree"]], "from_nested_tuple() (in module networkx.algorithms.tree.coding)": [[730, "networkx.algorithms.tree.coding.from_nested_tuple"]], "from_prufer_sequence() (in module networkx.algorithms.tree.coding)": [[731, "networkx.algorithms.tree.coding.from_prufer_sequence"]], "to_nested_tuple() (in module networkx.algorithms.tree.coding)": [[732, "networkx.algorithms.tree.coding.to_nested_tuple"]], "to_prufer_sequence() (in module networkx.algorithms.tree.coding)": [[733, "networkx.algorithms.tree.coding.to_prufer_sequence"]], "junction_tree() (in module networkx.algorithms.tree.decomposition)": [[734, "networkx.algorithms.tree.decomposition.junction_tree"]], "spanningtreeiterator (class in networkx.algorithms.tree.mst)": [[735, "networkx.algorithms.tree.mst.SpanningTreeIterator"]], "__init__() (spanningtreeiterator method)": [[735, "networkx.algorithms.tree.mst.SpanningTreeIterator.__init__"]], "maximum_spanning_edges() (in module networkx.algorithms.tree.mst)": [[736, "networkx.algorithms.tree.mst.maximum_spanning_edges"]], "maximum_spanning_tree() (in module networkx.algorithms.tree.mst)": [[737, "networkx.algorithms.tree.mst.maximum_spanning_tree"]], "minimum_spanning_edges() (in module networkx.algorithms.tree.mst)": [[738, "networkx.algorithms.tree.mst.minimum_spanning_edges"]], "minimum_spanning_tree() (in module networkx.algorithms.tree.mst)": [[739, "networkx.algorithms.tree.mst.minimum_spanning_tree"]], "random_spanning_tree() (in module networkx.algorithms.tree.mst)": [[740, "networkx.algorithms.tree.mst.random_spanning_tree"]], "join() (in module networkx.algorithms.tree.operations)": [[741, "networkx.algorithms.tree.operations.join"]], "is_arborescence() (in module networkx.algorithms.tree.recognition)": [[742, "networkx.algorithms.tree.recognition.is_arborescence"]], "is_branching() (in module networkx.algorithms.tree.recognition)": [[743, "networkx.algorithms.tree.recognition.is_branching"]], "is_forest() (in module networkx.algorithms.tree.recognition)": [[744, "networkx.algorithms.tree.recognition.is_forest"]], "is_tree() (in module networkx.algorithms.tree.recognition)": [[745, "networkx.algorithms.tree.recognition.is_tree"]], "all_triads() (in module networkx.algorithms.triads)": [[746, "networkx.algorithms.triads.all_triads"]], "all_triplets() (in module networkx.algorithms.triads)": [[747, "networkx.algorithms.triads.all_triplets"]], "is_triad() (in module networkx.algorithms.triads)": [[748, "networkx.algorithms.triads.is_triad"]], "random_triad() (in module networkx.algorithms.triads)": [[749, "networkx.algorithms.triads.random_triad"]], "triad_type() (in module networkx.algorithms.triads)": [[750, "networkx.algorithms.triads.triad_type"]], "triadic_census() (in module networkx.algorithms.triads)": [[751, "networkx.algorithms.triads.triadic_census"]], "triads_by_type() (in module networkx.algorithms.triads)": [[752, "networkx.algorithms.triads.triads_by_type"]], "closeness_vitality() (in module networkx.algorithms.vitality)": [[753, "networkx.algorithms.vitality.closeness_vitality"]], "voronoi_cells() (in module networkx.algorithms.voronoi)": [[754, "networkx.algorithms.voronoi.voronoi_cells"]], "wiener_index() (in module networkx.algorithms.wiener)": [[755, "networkx.algorithms.wiener.wiener_index"]], "networkx.algorithms.graph_hashing": [[756, "module-networkx.algorithms.graph_hashing"]], "networkx.algorithms.graphical": [[757, "module-networkx.algorithms.graphical"]], "networkx.algorithms.hierarchy": [[758, "module-networkx.algorithms.hierarchy"]], "networkx.algorithms.hybrid": [[759, "module-networkx.algorithms.hybrid"]], "networkx.algorithms.isolate": [[761, "module-networkx.algorithms.isolate"]], "networkx.algorithms.isomorphism": [[762, "module-networkx.algorithms.isomorphism"]], "networkx.algorithms.isomorphism.tree_isomorphism": [[762, "module-networkx.algorithms.isomorphism.tree_isomorphism"]], "networkx.algorithms.isomorphism.vf2pp": [[762, "module-networkx.algorithms.isomorphism.vf2pp"]], "networkx.algorithms.isomorphism.ismags": [[763, "module-networkx.algorithms.isomorphism.ismags"]], "networkx.algorithms.isomorphism.isomorphvf2": [[764, "module-networkx.algorithms.isomorphism.isomorphvf2"]], "networkx.algorithms.link_analysis.hits_alg": [[765, "module-networkx.algorithms.link_analysis.hits_alg"]], "networkx.algorithms.link_analysis.pagerank_alg": [[765, "module-networkx.algorithms.link_analysis.pagerank_alg"]], "networkx.algorithms.link_prediction": [[766, "module-networkx.algorithms.link_prediction"]], "networkx.algorithms.lowest_common_ancestors": [[767, "module-networkx.algorithms.lowest_common_ancestors"]], "networkx.algorithms.matching": [[768, "module-networkx.algorithms.matching"]], "networkx.algorithms.minors": [[769, "module-networkx.algorithms.minors"]], "networkx.algorithms.mis": [[770, "module-networkx.algorithms.mis"]], "networkx.algorithms.moral": [[771, "module-networkx.algorithms.moral"]], "networkx.algorithms.node_classification": [[772, "module-networkx.algorithms.node_classification"]], "networkx.algorithms.non_randomness": [[773, "module-networkx.algorithms.non_randomness"]], "networkx.algorithms.operators.all": [[774, "module-networkx.algorithms.operators.all"]], "networkx.algorithms.operators.binary": [[774, "module-networkx.algorithms.operators.binary"]], "networkx.algorithms.operators.product": [[774, "module-networkx.algorithms.operators.product"]], "networkx.algorithms.operators.unary": [[774, "module-networkx.algorithms.operators.unary"]], "networkx.algorithms.planar_drawing": [[775, "module-networkx.algorithms.planar_drawing"]], "networkx.algorithms.planarity": [[776, "module-networkx.algorithms.planarity"]], "networkx.algorithms.polynomials": [[777, "module-networkx.algorithms.polynomials"]], "networkx.algorithms.reciprocity": [[778, "module-networkx.algorithms.reciprocity"]], "networkx.algorithms.regular": [[779, "module-networkx.algorithms.regular"]], "networkx.algorithms.richclub": [[780, "module-networkx.algorithms.richclub"]], "networkx.algorithms.shortest_paths.astar": [[781, "module-networkx.algorithms.shortest_paths.astar"]], "networkx.algorithms.shortest_paths.dense": [[781, "module-networkx.algorithms.shortest_paths.dense"]], "networkx.algorithms.shortest_paths.generic": [[781, "module-networkx.algorithms.shortest_paths.generic"]], "networkx.algorithms.shortest_paths.unweighted": [[781, "module-networkx.algorithms.shortest_paths.unweighted"]], "networkx.algorithms.shortest_paths.weighted": [[781, "module-networkx.algorithms.shortest_paths.weighted"]], "networkx.algorithms.similarity": [[782, "module-networkx.algorithms.similarity"]], "networkx.algorithms.simple_paths": [[783, "module-networkx.algorithms.simple_paths"]], "networkx.algorithms.smallworld": [[784, "module-networkx.algorithms.smallworld"]], "networkx.algorithms.smetric": [[785, "module-networkx.algorithms.smetric"]], "networkx.algorithms.sparsifiers": [[786, "module-networkx.algorithms.sparsifiers"]], "networkx.algorithms.structuralholes": [[787, "module-networkx.algorithms.structuralholes"]], "networkx.algorithms.summarization": [[788, "module-networkx.algorithms.summarization"]], "networkx.algorithms.swap": [[789, "module-networkx.algorithms.swap"]], "networkx.algorithms.threshold": [[790, "module-networkx.algorithms.threshold"]], "networkx.algorithms.tournament": [[791, "module-networkx.algorithms.tournament"]], "networkx.algorithms.traversal.beamsearch": [[792, "module-networkx.algorithms.traversal.beamsearch"]], "networkx.algorithms.traversal.breadth_first_search": [[792, "module-networkx.algorithms.traversal.breadth_first_search"]], "networkx.algorithms.traversal.depth_first_search": [[792, "module-networkx.algorithms.traversal.depth_first_search"]], "networkx.algorithms.traversal.edgebfs": [[792, "module-networkx.algorithms.traversal.edgebfs"]], "networkx.algorithms.traversal.edgedfs": [[792, "module-networkx.algorithms.traversal.edgedfs"]], "networkx.algorithms.tree.branchings": [[793, "module-networkx.algorithms.tree.branchings"]], "networkx.algorithms.tree.coding": [[793, "module-networkx.algorithms.tree.coding"]], "networkx.algorithms.tree.decomposition": [[793, "module-networkx.algorithms.tree.decomposition"]], "networkx.algorithms.tree.mst": [[793, "module-networkx.algorithms.tree.mst"]], "networkx.algorithms.tree.operations": [[793, "module-networkx.algorithms.tree.operations"]], "networkx.algorithms.tree.recognition": [[793, "module-networkx.algorithms.tree.recognition"]], "networkx.algorithms.triads": [[794, "module-networkx.algorithms.triads"]], "networkx.algorithms.vitality": [[795, "module-networkx.algorithms.vitality"]], "networkx.algorithms.voronoi": [[796, "module-networkx.algorithms.voronoi"]], "networkx.algorithms.wiener": [[797, "module-networkx.algorithms.wiener"]], "digraph (class in networkx)": [[798, "networkx.DiGraph"]], "copy() (adjacencyview method)": [[799, "networkx.classes.coreviews.AdjacencyView.copy"]], "get() (adjacencyview method)": [[800, "networkx.classes.coreviews.AdjacencyView.get"]], "items() (adjacencyview method)": [[801, "networkx.classes.coreviews.AdjacencyView.items"]], "keys() (adjacencyview method)": [[802, "networkx.classes.coreviews.AdjacencyView.keys"]], "values() (adjacencyview method)": [[803, "networkx.classes.coreviews.AdjacencyView.values"]], "copy() (atlasview method)": [[804, "networkx.classes.coreviews.AtlasView.copy"]], "get() (atlasview method)": [[805, "networkx.classes.coreviews.AtlasView.get"]], "items() (atlasview method)": [[806, "networkx.classes.coreviews.AtlasView.items"]], "keys() (atlasview method)": [[807, "networkx.classes.coreviews.AtlasView.keys"]], "values() (atlasview method)": [[808, "networkx.classes.coreviews.AtlasView.values"]], "get() (filteradjacency method)": [[809, "networkx.classes.coreviews.FilterAdjacency.get"]], "items() (filteradjacency method)": [[810, "networkx.classes.coreviews.FilterAdjacency.items"]], "keys() (filteradjacency method)": [[811, "networkx.classes.coreviews.FilterAdjacency.keys"]], "values() (filteradjacency method)": [[812, "networkx.classes.coreviews.FilterAdjacency.values"]], "get() (filteratlas method)": [[813, "networkx.classes.coreviews.FilterAtlas.get"]], "items() (filteratlas method)": [[814, "networkx.classes.coreviews.FilterAtlas.items"]], "keys() (filteratlas method)": [[815, "networkx.classes.coreviews.FilterAtlas.keys"]], "values() (filteratlas method)": [[816, "networkx.classes.coreviews.FilterAtlas.values"]], "get() (filtermultiadjacency method)": [[817, "networkx.classes.coreviews.FilterMultiAdjacency.get"]], "items() (filtermultiadjacency method)": [[818, "networkx.classes.coreviews.FilterMultiAdjacency.items"]], "keys() (filtermultiadjacency method)": [[819, "networkx.classes.coreviews.FilterMultiAdjacency.keys"]], "values() (filtermultiadjacency method)": [[820, "networkx.classes.coreviews.FilterMultiAdjacency.values"]], "get() (filtermultiinner method)": [[821, "networkx.classes.coreviews.FilterMultiInner.get"]], "items() (filtermultiinner method)": [[822, "networkx.classes.coreviews.FilterMultiInner.items"]], "keys() (filtermultiinner method)": [[823, "networkx.classes.coreviews.FilterMultiInner.keys"]], "values() (filtermultiinner method)": [[824, "networkx.classes.coreviews.FilterMultiInner.values"]], "copy() (multiadjacencyview method)": [[825, "networkx.classes.coreviews.MultiAdjacencyView.copy"]], "get() (multiadjacencyview method)": [[826, "networkx.classes.coreviews.MultiAdjacencyView.get"]], "items() (multiadjacencyview method)": [[827, "networkx.classes.coreviews.MultiAdjacencyView.items"]], "keys() (multiadjacencyview method)": [[828, "networkx.classes.coreviews.MultiAdjacencyView.keys"]], "values() (multiadjacencyview method)": [[829, "networkx.classes.coreviews.MultiAdjacencyView.values"]], "copy() (unionadjacency method)": [[830, "networkx.classes.coreviews.UnionAdjacency.copy"]], "get() (unionadjacency method)": [[831, "networkx.classes.coreviews.UnionAdjacency.get"]], "items() (unionadjacency method)": [[832, "networkx.classes.coreviews.UnionAdjacency.items"]], "keys() (unionadjacency method)": [[833, "networkx.classes.coreviews.UnionAdjacency.keys"]], "values() (unionadjacency method)": [[834, "networkx.classes.coreviews.UnionAdjacency.values"]], "copy() (unionatlas method)": [[835, "networkx.classes.coreviews.UnionAtlas.copy"]], "get() (unionatlas method)": [[836, "networkx.classes.coreviews.UnionAtlas.get"]], "items() (unionatlas method)": [[837, "networkx.classes.coreviews.UnionAtlas.items"]], "keys() (unionatlas method)": [[838, "networkx.classes.coreviews.UnionAtlas.keys"]], "values() (unionatlas method)": [[839, "networkx.classes.coreviews.UnionAtlas.values"]], "copy() (unionmultiadjacency method)": [[840, "networkx.classes.coreviews.UnionMultiAdjacency.copy"]], "get() (unionmultiadjacency method)": [[841, "networkx.classes.coreviews.UnionMultiAdjacency.get"]], "items() (unionmultiadjacency method)": [[842, "networkx.classes.coreviews.UnionMultiAdjacency.items"]], "keys() (unionmultiadjacency method)": [[843, "networkx.classes.coreviews.UnionMultiAdjacency.keys"]], "values() (unionmultiadjacency method)": [[844, "networkx.classes.coreviews.UnionMultiAdjacency.values"]], "copy() (unionmultiinner method)": [[845, "networkx.classes.coreviews.UnionMultiInner.copy"]], "get() (unionmultiinner method)": [[846, "networkx.classes.coreviews.UnionMultiInner.get"]], "items() (unionmultiinner method)": [[847, "networkx.classes.coreviews.UnionMultiInner.items"]], "keys() (unionmultiinner method)": [[848, "networkx.classes.coreviews.UnionMultiInner.keys"]], "values() (unionmultiinner method)": [[849, "networkx.classes.coreviews.UnionMultiInner.values"]], "__contains__() (digraph method)": [[850, "networkx.DiGraph.__contains__"]], "__getitem__() (digraph method)": [[851, "networkx.DiGraph.__getitem__"]], "__init__() (digraph method)": [[852, "networkx.DiGraph.__init__"]], "__iter__() (digraph method)": [[853, "networkx.DiGraph.__iter__"]], "__len__() (digraph method)": [[854, "networkx.DiGraph.__len__"]], "add_edge() (digraph method)": [[855, "networkx.DiGraph.add_edge"]], "add_edges_from() (digraph method)": [[856, "networkx.DiGraph.add_edges_from"]], "add_node() (digraph method)": [[857, "networkx.DiGraph.add_node"]], "add_nodes_from() (digraph method)": [[858, "networkx.DiGraph.add_nodes_from"]], "add_weighted_edges_from() (digraph method)": [[859, "networkx.DiGraph.add_weighted_edges_from"]], "adj (digraph property)": [[860, "networkx.DiGraph.adj"]], "adjacency() (digraph method)": [[861, "networkx.DiGraph.adjacency"]], "clear() (digraph method)": [[862, "networkx.DiGraph.clear"]], "clear_edges() (digraph method)": [[863, "networkx.DiGraph.clear_edges"]], "copy() (digraph method)": [[864, "networkx.DiGraph.copy"]], "degree (digraph property)": [[865, "networkx.DiGraph.degree"]], "edge_subgraph() (digraph method)": [[866, "networkx.DiGraph.edge_subgraph"]], "edges (digraph property)": [[867, "networkx.DiGraph.edges"]], "get_edge_data() (digraph method)": [[868, "networkx.DiGraph.get_edge_data"]], "has_edge() (digraph method)": [[869, "networkx.DiGraph.has_edge"]], "has_node() (digraph method)": [[870, "networkx.DiGraph.has_node"]], "in_degree (digraph property)": [[871, "networkx.DiGraph.in_degree"]], "in_edges (digraph property)": [[872, "networkx.DiGraph.in_edges"]], "nbunch_iter() (digraph method)": [[873, "networkx.DiGraph.nbunch_iter"]], "neighbors() (digraph method)": [[874, "networkx.DiGraph.neighbors"]], "nodes (digraph property)": [[875, "networkx.DiGraph.nodes"]], "number_of_edges() (digraph method)": [[876, "networkx.DiGraph.number_of_edges"]], "number_of_nodes() (digraph method)": [[877, "networkx.DiGraph.number_of_nodes"]], "order() (digraph method)": [[878, "networkx.DiGraph.order"]], "out_degree (digraph property)": [[879, "networkx.DiGraph.out_degree"]], "out_edges (digraph property)": [[880, "networkx.DiGraph.out_edges"]], "pred (digraph property)": [[881, "networkx.DiGraph.pred"]], "predecessors() (digraph method)": [[882, "networkx.DiGraph.predecessors"]], "remove_edge() (digraph method)": [[883, "networkx.DiGraph.remove_edge"]], "remove_edges_from() (digraph method)": [[884, "networkx.DiGraph.remove_edges_from"]], "remove_node() (digraph method)": [[885, "networkx.DiGraph.remove_node"]], "remove_nodes_from() (digraph method)": [[886, "networkx.DiGraph.remove_nodes_from"]], "reverse() (digraph method)": [[887, "networkx.DiGraph.reverse"]], "size() (digraph method)": [[888, "networkx.DiGraph.size"]], "subgraph() (digraph method)": [[889, "networkx.DiGraph.subgraph"]], "succ (digraph property)": [[890, "networkx.DiGraph.succ"]], "successors() (digraph method)": [[891, "networkx.DiGraph.successors"]], "to_directed() (digraph method)": [[892, "networkx.DiGraph.to_directed"]], "to_undirected() (digraph method)": [[893, "networkx.DiGraph.to_undirected"]], "update() (digraph method)": [[894, "networkx.DiGraph.update"]], "__contains__() (graph method)": [[895, "networkx.Graph.__contains__"]], "__getitem__() (graph method)": [[896, "networkx.Graph.__getitem__"]], "__init__() (graph method)": [[897, "networkx.Graph.__init__"]], "__iter__() (graph method)": [[898, "networkx.Graph.__iter__"]], "__len__() (graph method)": [[899, "networkx.Graph.__len__"]], "add_edge() (graph method)": [[900, "networkx.Graph.add_edge"]], "add_edges_from() (graph method)": [[901, "networkx.Graph.add_edges_from"]], "add_node() (graph method)": [[902, "networkx.Graph.add_node"]], "add_nodes_from() (graph method)": [[903, "networkx.Graph.add_nodes_from"]], "add_weighted_edges_from() (graph method)": [[904, "networkx.Graph.add_weighted_edges_from"]], "adj (graph property)": [[905, "networkx.Graph.adj"]], "adjacency() (graph method)": [[906, "networkx.Graph.adjacency"]], "clear() (graph method)": [[907, "networkx.Graph.clear"]], "clear_edges() (graph method)": [[908, "networkx.Graph.clear_edges"]], "copy() (graph method)": [[909, "networkx.Graph.copy"]], "degree (graph property)": [[910, "networkx.Graph.degree"]], "edge_subgraph() (graph method)": [[911, "networkx.Graph.edge_subgraph"]], "edges (graph property)": [[912, "networkx.Graph.edges"]], "get_edge_data() (graph method)": [[913, "networkx.Graph.get_edge_data"]], "has_edge() (graph method)": [[914, "networkx.Graph.has_edge"]], "has_node() (graph method)": [[915, "networkx.Graph.has_node"]], "nbunch_iter() (graph method)": [[916, "networkx.Graph.nbunch_iter"]], "neighbors() (graph method)": [[917, "networkx.Graph.neighbors"]], "nodes (graph property)": [[918, "networkx.Graph.nodes"]], "number_of_edges() (graph method)": [[919, "networkx.Graph.number_of_edges"]], "number_of_nodes() (graph method)": [[920, "networkx.Graph.number_of_nodes"]], "order() (graph method)": [[921, "networkx.Graph.order"]], "remove_edge() (graph method)": [[922, "networkx.Graph.remove_edge"]], "remove_edges_from() (graph method)": [[923, "networkx.Graph.remove_edges_from"]], "remove_node() (graph method)": [[924, "networkx.Graph.remove_node"]], "remove_nodes_from() (graph method)": [[925, "networkx.Graph.remove_nodes_from"]], "size() (graph method)": [[926, "networkx.Graph.size"]], "subgraph() (graph method)": [[927, "networkx.Graph.subgraph"]], "to_directed() (graph method)": [[928, "networkx.Graph.to_directed"]], "to_undirected() (graph method)": [[929, "networkx.Graph.to_undirected"]], "update() (graph method)": [[930, "networkx.Graph.update"]], "__contains__() (multidigraph method)": [[931, "networkx.MultiDiGraph.__contains__"]], "__getitem__() (multidigraph method)": [[932, "networkx.MultiDiGraph.__getitem__"]], "__init__() (multidigraph method)": [[933, "networkx.MultiDiGraph.__init__"]], "__iter__() (multidigraph method)": [[934, "networkx.MultiDiGraph.__iter__"]], "__len__() (multidigraph method)": [[935, "networkx.MultiDiGraph.__len__"]], "add_edge() (multidigraph method)": [[936, "networkx.MultiDiGraph.add_edge"]], "add_edges_from() (multidigraph method)": [[937, "networkx.MultiDiGraph.add_edges_from"]], "add_node() (multidigraph method)": [[938, "networkx.MultiDiGraph.add_node"]], "add_nodes_from() (multidigraph method)": [[939, "networkx.MultiDiGraph.add_nodes_from"]], "add_weighted_edges_from() (multidigraph method)": [[940, "networkx.MultiDiGraph.add_weighted_edges_from"]], "adj (multidigraph property)": [[941, "networkx.MultiDiGraph.adj"]], "adjacency() (multidigraph method)": [[942, "networkx.MultiDiGraph.adjacency"]], "clear() (multidigraph method)": [[943, "networkx.MultiDiGraph.clear"]], "clear_edges() (multidigraph method)": [[944, "networkx.MultiDiGraph.clear_edges"]], "copy() (multidigraph method)": [[945, "networkx.MultiDiGraph.copy"]], "degree (multidigraph property)": [[946, "networkx.MultiDiGraph.degree"]], "edge_subgraph() (multidigraph method)": [[947, "networkx.MultiDiGraph.edge_subgraph"]], "edges (multidigraph property)": [[948, "networkx.MultiDiGraph.edges"]], "get_edge_data() (multidigraph method)": [[949, "networkx.MultiDiGraph.get_edge_data"]], "has_edge() (multidigraph method)": [[950, "networkx.MultiDiGraph.has_edge"]], "has_node() (multidigraph method)": [[951, "networkx.MultiDiGraph.has_node"]], "in_degree (multidigraph property)": [[952, "networkx.MultiDiGraph.in_degree"]], "in_edges (multidigraph property)": [[953, "networkx.MultiDiGraph.in_edges"]], "nbunch_iter() (multidigraph method)": [[954, "networkx.MultiDiGraph.nbunch_iter"]], "neighbors() (multidigraph method)": [[955, "networkx.MultiDiGraph.neighbors"]], "new_edge_key() (multidigraph method)": [[956, "networkx.MultiDiGraph.new_edge_key"]], "nodes (multidigraph property)": [[957, "networkx.MultiDiGraph.nodes"]], "number_of_edges() (multidigraph method)": [[958, "networkx.MultiDiGraph.number_of_edges"]], "number_of_nodes() (multidigraph method)": [[959, "networkx.MultiDiGraph.number_of_nodes"]], "order() (multidigraph method)": [[960, "networkx.MultiDiGraph.order"]], "out_degree (multidigraph property)": [[961, "networkx.MultiDiGraph.out_degree"]], "out_edges (multidigraph property)": [[962, "networkx.MultiDiGraph.out_edges"]], "pred (multidigraph property)": [[963, "networkx.MultiDiGraph.pred"]], "predecessors() (multidigraph method)": [[964, "networkx.MultiDiGraph.predecessors"]], "remove_edge() (multidigraph method)": [[965, "networkx.MultiDiGraph.remove_edge"]], "remove_edges_from() (multidigraph method)": [[966, "networkx.MultiDiGraph.remove_edges_from"]], "remove_node() (multidigraph method)": [[967, "networkx.MultiDiGraph.remove_node"]], "remove_nodes_from() (multidigraph method)": [[968, "networkx.MultiDiGraph.remove_nodes_from"]], "reverse() (multidigraph method)": [[969, "networkx.MultiDiGraph.reverse"]], "size() (multidigraph method)": [[970, "networkx.MultiDiGraph.size"]], "subgraph() (multidigraph method)": [[971, "networkx.MultiDiGraph.subgraph"]], "succ (multidigraph property)": [[972, "networkx.MultiDiGraph.succ"]], "successors() (multidigraph method)": [[973, "networkx.MultiDiGraph.successors"]], "to_directed() (multidigraph method)": [[974, "networkx.MultiDiGraph.to_directed"]], "to_undirected() (multidigraph method)": [[975, "networkx.MultiDiGraph.to_undirected"]], "update() (multidigraph method)": [[976, "networkx.MultiDiGraph.update"]], "__contains__() (multigraph method)": [[977, "networkx.MultiGraph.__contains__"]], "__getitem__() (multigraph method)": [[978, "networkx.MultiGraph.__getitem__"]], "__init__() (multigraph method)": [[979, "networkx.MultiGraph.__init__"]], "__iter__() (multigraph method)": [[980, "networkx.MultiGraph.__iter__"]], "__len__() (multigraph method)": [[981, "networkx.MultiGraph.__len__"]], "add_edge() (multigraph method)": [[982, "networkx.MultiGraph.add_edge"]], "add_edges_from() (multigraph method)": [[983, "networkx.MultiGraph.add_edges_from"]], "add_node() (multigraph method)": [[984, "networkx.MultiGraph.add_node"]], "add_nodes_from() (multigraph method)": [[985, "networkx.MultiGraph.add_nodes_from"]], "add_weighted_edges_from() (multigraph method)": [[986, "networkx.MultiGraph.add_weighted_edges_from"]], "adj (multigraph property)": [[987, "networkx.MultiGraph.adj"]], "adjacency() (multigraph method)": [[988, "networkx.MultiGraph.adjacency"]], "clear() (multigraph method)": [[989, "networkx.MultiGraph.clear"]], "clear_edges() (multigraph method)": [[990, "networkx.MultiGraph.clear_edges"]], "copy() (multigraph method)": [[991, "networkx.MultiGraph.copy"]], "degree (multigraph property)": [[992, "networkx.MultiGraph.degree"]], "edge_subgraph() (multigraph method)": [[993, "networkx.MultiGraph.edge_subgraph"]], "edges (multigraph property)": [[994, "networkx.MultiGraph.edges"]], "get_edge_data() (multigraph method)": [[995, "networkx.MultiGraph.get_edge_data"]], "has_edge() (multigraph method)": [[996, "networkx.MultiGraph.has_edge"]], "has_node() (multigraph method)": [[997, "networkx.MultiGraph.has_node"]], "nbunch_iter() (multigraph method)": [[998, "networkx.MultiGraph.nbunch_iter"]], "neighbors() (multigraph method)": [[999, "networkx.MultiGraph.neighbors"]], "new_edge_key() (multigraph method)": [[1000, "networkx.MultiGraph.new_edge_key"]], "nodes (multigraph property)": [[1001, "networkx.MultiGraph.nodes"]], "number_of_edges() (multigraph method)": [[1002, "networkx.MultiGraph.number_of_edges"]], "number_of_nodes() (multigraph method)": [[1003, "networkx.MultiGraph.number_of_nodes"]], "order() (multigraph method)": [[1004, "networkx.MultiGraph.order"]], "remove_edge() (multigraph method)": [[1005, "networkx.MultiGraph.remove_edge"]], "remove_edges_from() (multigraph method)": [[1006, "networkx.MultiGraph.remove_edges_from"]], "remove_node() (multigraph method)": [[1007, "networkx.MultiGraph.remove_node"]], "remove_nodes_from() (multigraph method)": [[1008, "networkx.MultiGraph.remove_nodes_from"]], "size() (multigraph method)": [[1009, "networkx.MultiGraph.size"]], "subgraph() (multigraph method)": [[1010, "networkx.MultiGraph.subgraph"]], "to_directed() (multigraph method)": [[1011, "networkx.MultiGraph.to_directed"]], "to_undirected() (multigraph method)": [[1012, "networkx.MultiGraph.to_undirected"]], "update() (multigraph method)": [[1013, "networkx.MultiGraph.update"]], "_dispatch() (in module networkx.classes.backends)": [[1014, "networkx.classes.backends._dispatch"]], "adjacencyview (class in networkx.classes.coreviews)": [[1015, "networkx.classes.coreviews.AdjacencyView"]], "__init__() (adjacencyview method)": [[1015, "networkx.classes.coreviews.AdjacencyView.__init__"]], "atlasview (class in networkx.classes.coreviews)": [[1016, "networkx.classes.coreviews.AtlasView"]], "__init__() (atlasview method)": [[1016, "networkx.classes.coreviews.AtlasView.__init__"]], "filteradjacency (class in networkx.classes.coreviews)": [[1017, "networkx.classes.coreviews.FilterAdjacency"]], "__init__() (filteradjacency method)": [[1017, "networkx.classes.coreviews.FilterAdjacency.__init__"]], "filteratlas (class in networkx.classes.coreviews)": [[1018, "networkx.classes.coreviews.FilterAtlas"]], "__init__() (filteratlas method)": [[1018, "networkx.classes.coreviews.FilterAtlas.__init__"]], "filtermultiadjacency (class in networkx.classes.coreviews)": [[1019, "networkx.classes.coreviews.FilterMultiAdjacency"]], "__init__() (filtermultiadjacency method)": [[1019, "networkx.classes.coreviews.FilterMultiAdjacency.__init__"]], "filtermultiinner (class in networkx.classes.coreviews)": [[1020, "networkx.classes.coreviews.FilterMultiInner"]], "__init__() (filtermultiinner method)": [[1020, "networkx.classes.coreviews.FilterMultiInner.__init__"]], "multiadjacencyview (class in networkx.classes.coreviews)": [[1021, "networkx.classes.coreviews.MultiAdjacencyView"]], "__init__() (multiadjacencyview method)": [[1021, "networkx.classes.coreviews.MultiAdjacencyView.__init__"]], "unionadjacency (class in networkx.classes.coreviews)": [[1022, "networkx.classes.coreviews.UnionAdjacency"]], "__init__() (unionadjacency method)": [[1022, "networkx.classes.coreviews.UnionAdjacency.__init__"]], "unionatlas (class in networkx.classes.coreviews)": [[1023, "networkx.classes.coreviews.UnionAtlas"]], "__init__() (unionatlas method)": [[1023, "networkx.classes.coreviews.UnionAtlas.__init__"]], "unionmultiadjacency (class in networkx.classes.coreviews)": [[1024, "networkx.classes.coreviews.UnionMultiAdjacency"]], "__init__() (unionmultiadjacency method)": [[1024, "networkx.classes.coreviews.UnionMultiAdjacency.__init__"]], "unionmultiinner (class in networkx.classes.coreviews)": [[1025, "networkx.classes.coreviews.UnionMultiInner"]], "__init__() (unionmultiinner method)": [[1025, "networkx.classes.coreviews.UnionMultiInner.__init__"]], "hide_diedges() (in module networkx.classes.filters)": [[1026, "networkx.classes.filters.hide_diedges"]], "hide_edges() (in module networkx.classes.filters)": [[1027, "networkx.classes.filters.hide_edges"]], "hide_multidiedges() (in module networkx.classes.filters)": [[1028, "networkx.classes.filters.hide_multidiedges"]], "hide_multiedges() (in module networkx.classes.filters)": [[1029, "networkx.classes.filters.hide_multiedges"]], "hide_nodes() (in module networkx.classes.filters)": [[1030, "networkx.classes.filters.hide_nodes"]], "no_filter() (in module networkx.classes.filters)": [[1031, "networkx.classes.filters.no_filter"]], "show_diedges() (in module networkx.classes.filters)": [[1032, "networkx.classes.filters.show_diedges"]], "show_edges() (in module networkx.classes.filters)": [[1033, "networkx.classes.filters.show_edges"]], "show_multidiedges() (in module networkx.classes.filters)": [[1034, "networkx.classes.filters.show_multidiedges"]], "show_multiedges() (in module networkx.classes.filters)": [[1035, "networkx.classes.filters.show_multiedges"]], "__init__() (show_nodes method)": [[1036, "networkx.classes.filters.show_nodes.__init__"]], "show_nodes (class in networkx.classes.filters)": [[1036, "networkx.classes.filters.show_nodes"]], "generic_graph_view() (in module networkx.classes.graphviews)": [[1037, "networkx.classes.graphviews.generic_graph_view"]], "reverse_view() (in module networkx.classes.graphviews)": [[1038, "networkx.classes.graphviews.reverse_view"]], "subgraph_view() (in module networkx.classes.graphviews)": [[1039, "networkx.classes.graphviews.subgraph_view"]], "graph (class in networkx)": [[1040, "networkx.Graph"]], "networkx.classes.backends": [[1041, "module-networkx.classes.backends"]], "networkx.classes.coreviews": [[1041, "module-networkx.classes.coreviews"]], "networkx.classes.filters": [[1041, "module-networkx.classes.filters"]], "networkx.classes.graphviews": [[1041, "module-networkx.classes.graphviews"]], "multidigraph (class in networkx)": [[1042, "networkx.MultiDiGraph"]], "multigraph (class in networkx)": [[1043, "networkx.MultiGraph"]], "networkx.convert": [[1044, "module-networkx.convert"]], "networkx.convert_matrix": [[1044, "module-networkx.convert_matrix"]], "networkx.drawing.layout": [[1045, "module-networkx.drawing.layout"]], "networkx.drawing.nx_agraph": [[1045, "module-networkx.drawing.nx_agraph"]], "networkx.drawing.nx_latex": [[1045, "module-networkx.drawing.nx_latex"]], "networkx.drawing.nx_pydot": [[1045, "module-networkx.drawing.nx_pydot"]], "networkx.drawing.nx_pylab": [[1045, "module-networkx.drawing.nx_pylab"]], "ambiguoussolution (class in networkx)": [[1046, "networkx.AmbiguousSolution"]], "exceededmaxiterations (class in networkx)": [[1046, "networkx.ExceededMaxIterations"]], "hasacycle (class in networkx)": [[1046, "networkx.HasACycle"]], "networkxalgorithmerror (class in networkx)": [[1046, "networkx.NetworkXAlgorithmError"]], "networkxerror (class in networkx)": [[1046, "networkx.NetworkXError"]], "networkxexception (class in networkx)": [[1046, "networkx.NetworkXException"]], "networkxnocycle (class in networkx)": [[1046, "networkx.NetworkXNoCycle"]], "networkxnopath (class in networkx)": [[1046, "networkx.NetworkXNoPath"]], "networkxnotimplemented (class in networkx)": [[1046, "networkx.NetworkXNotImplemented"]], "networkxpointlessconcept (class in networkx)": [[1046, "networkx.NetworkXPointlessConcept"]], "networkxunbounded (class in networkx)": [[1046, "networkx.NetworkXUnbounded"]], "networkxunfeasible (class in networkx)": [[1046, "networkx.NetworkXUnfeasible"]], "nodenotfound (class in networkx)": [[1046, "networkx.NodeNotFound"]], "poweriterationfailedconvergence (class in networkx)": [[1046, "networkx.PowerIterationFailedConvergence"]], "networkx.exception": [[1046, "module-networkx.exception"]], "networkx.classes.function": [[1047, "module-networkx.classes.function"]], "assemble() (argmap method)": [[1048, "networkx.utils.decorators.argmap.assemble"]], "compile() (argmap method)": [[1049, "networkx.utils.decorators.argmap.compile"]], "signature() (argmap class method)": [[1050, "networkx.utils.decorators.argmap.signature"]], "pop() (mappedqueue method)": [[1051, "networkx.utils.mapped_queue.MappedQueue.pop"]], "push() (mappedqueue method)": [[1052, "networkx.utils.mapped_queue.MappedQueue.push"]], "remove() (mappedqueue method)": [[1053, "networkx.utils.mapped_queue.MappedQueue.remove"]], "update() (mappedqueue method)": [[1054, "networkx.utils.mapped_queue.MappedQueue.update"]], "add_cycle() (in module networkx.classes.function)": [[1055, "networkx.classes.function.add_cycle"]], "add_path() (in module networkx.classes.function)": [[1056, "networkx.classes.function.add_path"]], "add_star() (in module networkx.classes.function)": [[1057, "networkx.classes.function.add_star"]], "all_neighbors() (in module networkx.classes.function)": [[1058, "networkx.classes.function.all_neighbors"]], "common_neighbors() (in module networkx.classes.function)": [[1059, "networkx.classes.function.common_neighbors"]], "create_empty_copy() (in module networkx.classes.function)": [[1060, "networkx.classes.function.create_empty_copy"]], "degree() (in module networkx.classes.function)": [[1061, "networkx.classes.function.degree"]], "degree_histogram() (in module networkx.classes.function)": [[1062, "networkx.classes.function.degree_histogram"]], "density() (in module networkx.classes.function)": [[1063, "networkx.classes.function.density"]], "edge_subgraph() (in module networkx.classes.function)": [[1064, "networkx.classes.function.edge_subgraph"]], "edges() (in module networkx.classes.function)": [[1065, "networkx.classes.function.edges"]], "freeze() (in module networkx.classes.function)": [[1066, "networkx.classes.function.freeze"]], "get_edge_attributes() (in module networkx.classes.function)": [[1067, "networkx.classes.function.get_edge_attributes"]], "get_node_attributes() (in module networkx.classes.function)": [[1068, "networkx.classes.function.get_node_attributes"]], "induced_subgraph() (in module networkx.classes.function)": [[1069, "networkx.classes.function.induced_subgraph"]], "is_directed() (in module networkx.classes.function)": [[1070, "networkx.classes.function.is_directed"]], "is_empty() (in module networkx.classes.function)": [[1071, "networkx.classes.function.is_empty"]], "is_frozen() (in module networkx.classes.function)": [[1072, "networkx.classes.function.is_frozen"]], "is_negatively_weighted() (in module networkx.classes.function)": [[1073, "networkx.classes.function.is_negatively_weighted"]], "is_path() (in module networkx.classes.function)": [[1074, "networkx.classes.function.is_path"]], "is_weighted() (in module networkx.classes.function)": [[1075, "networkx.classes.function.is_weighted"]], "neighbors() (in module networkx.classes.function)": [[1076, "networkx.classes.function.neighbors"]], "nodes() (in module networkx.classes.function)": [[1077, "networkx.classes.function.nodes"]], "nodes_with_selfloops() (in module networkx.classes.function)": [[1078, "networkx.classes.function.nodes_with_selfloops"]], "non_edges() (in module networkx.classes.function)": [[1079, "networkx.classes.function.non_edges"]], "non_neighbors() (in module networkx.classes.function)": [[1080, "networkx.classes.function.non_neighbors"]], "number_of_edges() (in module networkx.classes.function)": [[1081, "networkx.classes.function.number_of_edges"]], "number_of_nodes() (in module networkx.classes.function)": [[1082, "networkx.classes.function.number_of_nodes"]], "number_of_selfloops() (in module networkx.classes.function)": [[1083, "networkx.classes.function.number_of_selfloops"]], "path_weight() (in module networkx.classes.function)": [[1084, "networkx.classes.function.path_weight"]], "restricted_view() (in module networkx.classes.function)": [[1085, "networkx.classes.function.restricted_view"]], "reverse_view() (in module networkx.classes.function)": [[1086, "networkx.classes.function.reverse_view"]], "selfloop_edges() (in module networkx.classes.function)": [[1087, "networkx.classes.function.selfloop_edges"]], "set_edge_attributes() (in module networkx.classes.function)": [[1088, "networkx.classes.function.set_edge_attributes"]], "set_node_attributes() (in module networkx.classes.function)": [[1089, "networkx.classes.function.set_node_attributes"]], "subgraph() (in module networkx.classes.function)": [[1090, "networkx.classes.function.subgraph"]], "subgraph_view() (in module networkx.classes.function)": [[1091, "networkx.classes.function.subgraph_view"]], "to_directed() (in module networkx.classes.function)": [[1092, "networkx.classes.function.to_directed"]], "to_undirected() (in module networkx.classes.function)": [[1093, "networkx.classes.function.to_undirected"]], "from_dict_of_dicts() (in module networkx.convert)": [[1094, "networkx.convert.from_dict_of_dicts"]], "from_dict_of_lists() (in module networkx.convert)": [[1095, "networkx.convert.from_dict_of_lists"]], "from_edgelist() (in module networkx.convert)": [[1096, "networkx.convert.from_edgelist"]], "to_dict_of_dicts() (in module networkx.convert)": [[1097, "networkx.convert.to_dict_of_dicts"]], "to_dict_of_lists() (in module networkx.convert)": [[1098, "networkx.convert.to_dict_of_lists"]], "to_edgelist() (in module networkx.convert)": [[1099, "networkx.convert.to_edgelist"]], "to_networkx_graph() (in module networkx.convert)": [[1100, "networkx.convert.to_networkx_graph"]], "from_numpy_array() (in module networkx.convert_matrix)": [[1101, "networkx.convert_matrix.from_numpy_array"]], "from_pandas_adjacency() (in module networkx.convert_matrix)": [[1102, "networkx.convert_matrix.from_pandas_adjacency"]], "from_pandas_edgelist() (in module networkx.convert_matrix)": [[1103, "networkx.convert_matrix.from_pandas_edgelist"]], "from_scipy_sparse_array() (in module networkx.convert_matrix)": [[1104, "networkx.convert_matrix.from_scipy_sparse_array"]], "to_numpy_array() (in module networkx.convert_matrix)": [[1105, "networkx.convert_matrix.to_numpy_array"]], "to_pandas_adjacency() (in module networkx.convert_matrix)": [[1106, "networkx.convert_matrix.to_pandas_adjacency"]], "to_pandas_edgelist() (in module networkx.convert_matrix)": [[1107, "networkx.convert_matrix.to_pandas_edgelist"]], "to_scipy_sparse_array() (in module networkx.convert_matrix)": [[1108, "networkx.convert_matrix.to_scipy_sparse_array"]], "bipartite_layout() (in module networkx.drawing.layout)": [[1109, "networkx.drawing.layout.bipartite_layout"]], "circular_layout() (in module networkx.drawing.layout)": [[1110, "networkx.drawing.layout.circular_layout"]], "kamada_kawai_layout() (in module networkx.drawing.layout)": [[1111, "networkx.drawing.layout.kamada_kawai_layout"]], "multipartite_layout() (in module networkx.drawing.layout)": [[1112, "networkx.drawing.layout.multipartite_layout"]], "planar_layout() (in module networkx.drawing.layout)": [[1113, "networkx.drawing.layout.planar_layout"]], "random_layout() (in module networkx.drawing.layout)": [[1114, "networkx.drawing.layout.random_layout"]], "rescale_layout() (in module networkx.drawing.layout)": [[1115, "networkx.drawing.layout.rescale_layout"]], "rescale_layout_dict() (in module networkx.drawing.layout)": [[1116, "networkx.drawing.layout.rescale_layout_dict"]], "shell_layout() (in module networkx.drawing.layout)": [[1117, "networkx.drawing.layout.shell_layout"]], "spectral_layout() (in module networkx.drawing.layout)": [[1118, "networkx.drawing.layout.spectral_layout"]], "spiral_layout() (in module networkx.drawing.layout)": [[1119, "networkx.drawing.layout.spiral_layout"]], "spring_layout() (in module networkx.drawing.layout)": [[1120, "networkx.drawing.layout.spring_layout"]], "from_agraph() (in module networkx.drawing.nx_agraph)": [[1121, "networkx.drawing.nx_agraph.from_agraph"]], "graphviz_layout() (in module networkx.drawing.nx_agraph)": [[1122, "networkx.drawing.nx_agraph.graphviz_layout"]], "pygraphviz_layout() (in module networkx.drawing.nx_agraph)": [[1123, "networkx.drawing.nx_agraph.pygraphviz_layout"]], "read_dot() (in module networkx.drawing.nx_agraph)": [[1124, "networkx.drawing.nx_agraph.read_dot"]], "to_agraph() (in module networkx.drawing.nx_agraph)": [[1125, "networkx.drawing.nx_agraph.to_agraph"]], "write_dot() (in module networkx.drawing.nx_agraph)": [[1126, "networkx.drawing.nx_agraph.write_dot"]], "to_latex() (in module networkx.drawing.nx_latex)": [[1127, "networkx.drawing.nx_latex.to_latex"]], "to_latex_raw() (in module networkx.drawing.nx_latex)": [[1128, "networkx.drawing.nx_latex.to_latex_raw"]], "write_latex() (in module networkx.drawing.nx_latex)": [[1129, "networkx.drawing.nx_latex.write_latex"]], "from_pydot() (in module networkx.drawing.nx_pydot)": [[1130, "networkx.drawing.nx_pydot.from_pydot"]], "graphviz_layout() (in module networkx.drawing.nx_pydot)": [[1131, "networkx.drawing.nx_pydot.graphviz_layout"]], "pydot_layout() (in module networkx.drawing.nx_pydot)": [[1132, "networkx.drawing.nx_pydot.pydot_layout"]], "read_dot() (in module networkx.drawing.nx_pydot)": [[1133, "networkx.drawing.nx_pydot.read_dot"]], "to_pydot() (in module networkx.drawing.nx_pydot)": [[1134, "networkx.drawing.nx_pydot.to_pydot"]], "write_dot() (in module networkx.drawing.nx_pydot)": [[1135, "networkx.drawing.nx_pydot.write_dot"]], "draw() (in module networkx.drawing.nx_pylab)": [[1136, "networkx.drawing.nx_pylab.draw"]], "draw_circular() (in module networkx.drawing.nx_pylab)": [[1137, "networkx.drawing.nx_pylab.draw_circular"]], "draw_kamada_kawai() (in module networkx.drawing.nx_pylab)": [[1138, "networkx.drawing.nx_pylab.draw_kamada_kawai"]], "draw_networkx() (in module networkx.drawing.nx_pylab)": [[1139, "networkx.drawing.nx_pylab.draw_networkx"]], "draw_networkx_edge_labels() (in module networkx.drawing.nx_pylab)": [[1140, "networkx.drawing.nx_pylab.draw_networkx_edge_labels"]], "draw_networkx_edges() (in module networkx.drawing.nx_pylab)": [[1141, "networkx.drawing.nx_pylab.draw_networkx_edges"]], "draw_networkx_labels() (in module networkx.drawing.nx_pylab)": [[1142, "networkx.drawing.nx_pylab.draw_networkx_labels"]], "draw_networkx_nodes() (in module networkx.drawing.nx_pylab)": [[1143, "networkx.drawing.nx_pylab.draw_networkx_nodes"]], "draw_planar() (in module networkx.drawing.nx_pylab)": [[1144, "networkx.drawing.nx_pylab.draw_planar"]], "draw_random() (in module networkx.drawing.nx_pylab)": [[1145, "networkx.drawing.nx_pylab.draw_random"]], "draw_shell() (in module networkx.drawing.nx_pylab)": [[1146, "networkx.drawing.nx_pylab.draw_shell"]], "draw_spectral() (in module networkx.drawing.nx_pylab)": [[1147, "networkx.drawing.nx_pylab.draw_spectral"]], "draw_spring() (in module networkx.drawing.nx_pylab)": [[1148, "networkx.drawing.nx_pylab.draw_spring"]], "graph_atlas() (in module networkx.generators.atlas)": [[1149, "networkx.generators.atlas.graph_atlas"]], "graph_atlas_g() (in module networkx.generators.atlas)": [[1150, "networkx.generators.atlas.graph_atlas_g"]], "balanced_tree() (in module networkx.generators.classic)": [[1151, "networkx.generators.classic.balanced_tree"]], "barbell_graph() (in module networkx.generators.classic)": [[1152, "networkx.generators.classic.barbell_graph"]], "binomial_tree() (in module networkx.generators.classic)": [[1153, "networkx.generators.classic.binomial_tree"]], "circulant_graph() (in module networkx.generators.classic)": [[1154, "networkx.generators.classic.circulant_graph"]], "circular_ladder_graph() (in module networkx.generators.classic)": [[1155, "networkx.generators.classic.circular_ladder_graph"]], "complete_graph() (in module networkx.generators.classic)": [[1156, "networkx.generators.classic.complete_graph"]], "complete_multipartite_graph() (in module networkx.generators.classic)": [[1157, "networkx.generators.classic.complete_multipartite_graph"]], "cycle_graph() (in module networkx.generators.classic)": [[1158, "networkx.generators.classic.cycle_graph"]], "dorogovtsev_goltsev_mendes_graph() (in module networkx.generators.classic)": [[1159, "networkx.generators.classic.dorogovtsev_goltsev_mendes_graph"]], "empty_graph() (in module networkx.generators.classic)": [[1160, "networkx.generators.classic.empty_graph"]], "full_rary_tree() (in module networkx.generators.classic)": [[1161, "networkx.generators.classic.full_rary_tree"]], "ladder_graph() (in module networkx.generators.classic)": [[1162, "networkx.generators.classic.ladder_graph"]], "lollipop_graph() (in module networkx.generators.classic)": [[1163, "networkx.generators.classic.lollipop_graph"]], "null_graph() (in module networkx.generators.classic)": [[1164, "networkx.generators.classic.null_graph"]], "path_graph() (in module networkx.generators.classic)": [[1165, "networkx.generators.classic.path_graph"]], "star_graph() (in module networkx.generators.classic)": [[1166, "networkx.generators.classic.star_graph"]], "trivial_graph() (in module networkx.generators.classic)": [[1167, "networkx.generators.classic.trivial_graph"]], "turan_graph() (in module networkx.generators.classic)": [[1168, "networkx.generators.classic.turan_graph"]], "wheel_graph() (in module networkx.generators.classic)": [[1169, "networkx.generators.classic.wheel_graph"]], "random_cograph() (in module networkx.generators.cographs)": [[1170, "networkx.generators.cographs.random_cograph"]], "lfr_benchmark_graph() (in module networkx.generators.community)": [[1171, "networkx.generators.community.LFR_benchmark_graph"]], "caveman_graph() (in module networkx.generators.community)": [[1172, "networkx.generators.community.caveman_graph"]], "connected_caveman_graph() (in module networkx.generators.community)": [[1173, "networkx.generators.community.connected_caveman_graph"]], "gaussian_random_partition_graph() (in module networkx.generators.community)": [[1174, "networkx.generators.community.gaussian_random_partition_graph"]], "planted_partition_graph() (in module networkx.generators.community)": [[1175, "networkx.generators.community.planted_partition_graph"]], "random_partition_graph() (in module networkx.generators.community)": [[1176, "networkx.generators.community.random_partition_graph"]], "relaxed_caveman_graph() (in module networkx.generators.community)": [[1177, "networkx.generators.community.relaxed_caveman_graph"]], "ring_of_cliques() (in module networkx.generators.community)": [[1178, "networkx.generators.community.ring_of_cliques"]], "stochastic_block_model() (in module networkx.generators.community)": [[1179, "networkx.generators.community.stochastic_block_model"]], "windmill_graph() (in module networkx.generators.community)": [[1180, "networkx.generators.community.windmill_graph"]], "configuration_model() (in module networkx.generators.degree_seq)": [[1181, "networkx.generators.degree_seq.configuration_model"]], "degree_sequence_tree() (in module networkx.generators.degree_seq)": [[1182, "networkx.generators.degree_seq.degree_sequence_tree"]], "directed_configuration_model() (in module networkx.generators.degree_seq)": [[1183, "networkx.generators.degree_seq.directed_configuration_model"]], "directed_havel_hakimi_graph() (in module networkx.generators.degree_seq)": [[1184, "networkx.generators.degree_seq.directed_havel_hakimi_graph"]], "expected_degree_graph() (in module networkx.generators.degree_seq)": [[1185, "networkx.generators.degree_seq.expected_degree_graph"]], "havel_hakimi_graph() (in module networkx.generators.degree_seq)": [[1186, "networkx.generators.degree_seq.havel_hakimi_graph"]], "random_degree_sequence_graph() (in module networkx.generators.degree_seq)": [[1187, "networkx.generators.degree_seq.random_degree_sequence_graph"]], "gn_graph() (in module networkx.generators.directed)": [[1188, "networkx.generators.directed.gn_graph"]], "gnc_graph() (in module networkx.generators.directed)": [[1189, "networkx.generators.directed.gnc_graph"]], "gnr_graph() (in module networkx.generators.directed)": [[1190, "networkx.generators.directed.gnr_graph"]], "random_k_out_graph() (in module networkx.generators.directed)": [[1191, "networkx.generators.directed.random_k_out_graph"]], "scale_free_graph() (in module networkx.generators.directed)": [[1192, "networkx.generators.directed.scale_free_graph"]], "duplication_divergence_graph() (in module networkx.generators.duplication)": [[1193, "networkx.generators.duplication.duplication_divergence_graph"]], "partial_duplication_graph() (in module networkx.generators.duplication)": [[1194, "networkx.generators.duplication.partial_duplication_graph"]], "ego_graph() (in module networkx.generators.ego)": [[1195, "networkx.generators.ego.ego_graph"]], "chordal_cycle_graph() (in module networkx.generators.expanders)": [[1196, "networkx.generators.expanders.chordal_cycle_graph"]], "margulis_gabber_galil_graph() (in module networkx.generators.expanders)": [[1197, "networkx.generators.expanders.margulis_gabber_galil_graph"]], "paley_graph() (in module networkx.generators.expanders)": [[1198, "networkx.generators.expanders.paley_graph"]], "geographical_threshold_graph() (in module networkx.generators.geometric)": [[1199, "networkx.generators.geometric.geographical_threshold_graph"]], "geometric_edges() (in module networkx.generators.geometric)": [[1200, "networkx.generators.geometric.geometric_edges"]], "navigable_small_world_graph() (in module networkx.generators.geometric)": [[1201, "networkx.generators.geometric.navigable_small_world_graph"]], "random_geometric_graph() (in module networkx.generators.geometric)": [[1202, "networkx.generators.geometric.random_geometric_graph"]], "soft_random_geometric_graph() (in module networkx.generators.geometric)": [[1203, "networkx.generators.geometric.soft_random_geometric_graph"]], "thresholded_random_geometric_graph() (in module networkx.generators.geometric)": [[1204, "networkx.generators.geometric.thresholded_random_geometric_graph"]], "waxman_graph() (in module networkx.generators.geometric)": [[1205, "networkx.generators.geometric.waxman_graph"]], "hkn_harary_graph() (in module networkx.generators.harary_graph)": [[1206, "networkx.generators.harary_graph.hkn_harary_graph"]], "hnm_harary_graph() (in module networkx.generators.harary_graph)": [[1207, "networkx.generators.harary_graph.hnm_harary_graph"]], "random_internet_as_graph() (in module networkx.generators.internet_as_graphs)": [[1208, "networkx.generators.internet_as_graphs.random_internet_as_graph"]], "general_random_intersection_graph() (in module networkx.generators.intersection)": [[1209, "networkx.generators.intersection.general_random_intersection_graph"]], "k_random_intersection_graph() (in module networkx.generators.intersection)": [[1210, "networkx.generators.intersection.k_random_intersection_graph"]], "uniform_random_intersection_graph() (in module networkx.generators.intersection)": [[1211, "networkx.generators.intersection.uniform_random_intersection_graph"]], "interval_graph() (in module networkx.generators.interval_graph)": [[1212, "networkx.generators.interval_graph.interval_graph"]], "directed_joint_degree_graph() (in module networkx.generators.joint_degree_seq)": [[1213, "networkx.generators.joint_degree_seq.directed_joint_degree_graph"]], "is_valid_directed_joint_degree() (in module networkx.generators.joint_degree_seq)": [[1214, "networkx.generators.joint_degree_seq.is_valid_directed_joint_degree"]], "is_valid_joint_degree() (in module networkx.generators.joint_degree_seq)": [[1215, "networkx.generators.joint_degree_seq.is_valid_joint_degree"]], "joint_degree_graph() (in module networkx.generators.joint_degree_seq)": [[1216, "networkx.generators.joint_degree_seq.joint_degree_graph"]], "grid_2d_graph() (in module networkx.generators.lattice)": [[1217, "networkx.generators.lattice.grid_2d_graph"]], "grid_graph() (in module networkx.generators.lattice)": [[1218, "networkx.generators.lattice.grid_graph"]], "hexagonal_lattice_graph() (in module networkx.generators.lattice)": [[1219, "networkx.generators.lattice.hexagonal_lattice_graph"]], "hypercube_graph() (in module networkx.generators.lattice)": [[1220, "networkx.generators.lattice.hypercube_graph"]], "triangular_lattice_graph() (in module networkx.generators.lattice)": [[1221, "networkx.generators.lattice.triangular_lattice_graph"]], "inverse_line_graph() (in module networkx.generators.line)": [[1222, "networkx.generators.line.inverse_line_graph"]], "line_graph() (in module networkx.generators.line)": [[1223, "networkx.generators.line.line_graph"]], "mycielski_graph() (in module networkx.generators.mycielski)": [[1224, "networkx.generators.mycielski.mycielski_graph"]], "mycielskian() (in module networkx.generators.mycielski)": [[1225, "networkx.generators.mycielski.mycielskian"]], "nonisomorphic_trees() (in module networkx.generators.nonisomorphic_trees)": [[1226, "networkx.generators.nonisomorphic_trees.nonisomorphic_trees"]], "number_of_nonisomorphic_trees() (in module networkx.generators.nonisomorphic_trees)": [[1227, "networkx.generators.nonisomorphic_trees.number_of_nonisomorphic_trees"]], "random_clustered_graph() (in module networkx.generators.random_clustered)": [[1228, "networkx.generators.random_clustered.random_clustered_graph"]], "barabasi_albert_graph() (in module networkx.generators.random_graphs)": [[1229, "networkx.generators.random_graphs.barabasi_albert_graph"]], "binomial_graph() (in module networkx.generators.random_graphs)": [[1230, "networkx.generators.random_graphs.binomial_graph"]], "connected_watts_strogatz_graph() (in module networkx.generators.random_graphs)": [[1231, "networkx.generators.random_graphs.connected_watts_strogatz_graph"]], "dense_gnm_random_graph() (in module networkx.generators.random_graphs)": [[1232, "networkx.generators.random_graphs.dense_gnm_random_graph"]], "dual_barabasi_albert_graph() (in module networkx.generators.random_graphs)": [[1233, "networkx.generators.random_graphs.dual_barabasi_albert_graph"]], "erdos_renyi_graph() (in module networkx.generators.random_graphs)": [[1234, "networkx.generators.random_graphs.erdos_renyi_graph"]], "extended_barabasi_albert_graph() (in module networkx.generators.random_graphs)": [[1235, "networkx.generators.random_graphs.extended_barabasi_albert_graph"]], "fast_gnp_random_graph() (in module networkx.generators.random_graphs)": [[1236, "networkx.generators.random_graphs.fast_gnp_random_graph"]], "gnm_random_graph() (in module networkx.generators.random_graphs)": [[1237, "networkx.generators.random_graphs.gnm_random_graph"]], "gnp_random_graph() (in module networkx.generators.random_graphs)": [[1238, "networkx.generators.random_graphs.gnp_random_graph"]], "newman_watts_strogatz_graph() (in module networkx.generators.random_graphs)": [[1239, "networkx.generators.random_graphs.newman_watts_strogatz_graph"]], "powerlaw_cluster_graph() (in module networkx.generators.random_graphs)": [[1240, "networkx.generators.random_graphs.powerlaw_cluster_graph"]], "random_kernel_graph() (in module networkx.generators.random_graphs)": [[1241, "networkx.generators.random_graphs.random_kernel_graph"]], "random_lobster() (in module networkx.generators.random_graphs)": [[1242, "networkx.generators.random_graphs.random_lobster"]], "random_powerlaw_tree() (in module networkx.generators.random_graphs)": [[1243, "networkx.generators.random_graphs.random_powerlaw_tree"]], "random_powerlaw_tree_sequence() (in module networkx.generators.random_graphs)": [[1244, "networkx.generators.random_graphs.random_powerlaw_tree_sequence"]], "random_regular_graph() (in module networkx.generators.random_graphs)": [[1245, "networkx.generators.random_graphs.random_regular_graph"]], "random_shell_graph() (in module networkx.generators.random_graphs)": [[1246, "networkx.generators.random_graphs.random_shell_graph"]], "watts_strogatz_graph() (in module networkx.generators.random_graphs)": [[1247, "networkx.generators.random_graphs.watts_strogatz_graph"]], "lcf_graph() (in module networkx.generators.small)": [[1248, "networkx.generators.small.LCF_graph"]], "bull_graph() (in module networkx.generators.small)": [[1249, "networkx.generators.small.bull_graph"]], "chvatal_graph() (in module networkx.generators.small)": [[1250, "networkx.generators.small.chvatal_graph"]], "cubical_graph() (in module networkx.generators.small)": [[1251, "networkx.generators.small.cubical_graph"]], "desargues_graph() (in module networkx.generators.small)": [[1252, "networkx.generators.small.desargues_graph"]], "diamond_graph() (in module networkx.generators.small)": [[1253, "networkx.generators.small.diamond_graph"]], "dodecahedral_graph() (in module networkx.generators.small)": [[1254, "networkx.generators.small.dodecahedral_graph"]], "frucht_graph() (in module networkx.generators.small)": [[1255, "networkx.generators.small.frucht_graph"]], "heawood_graph() (in module networkx.generators.small)": [[1256, "networkx.generators.small.heawood_graph"]], "hoffman_singleton_graph() (in module networkx.generators.small)": [[1257, "networkx.generators.small.hoffman_singleton_graph"]], "house_graph() (in module networkx.generators.small)": [[1258, "networkx.generators.small.house_graph"]], "house_x_graph() (in module networkx.generators.small)": [[1259, "networkx.generators.small.house_x_graph"]], "icosahedral_graph() (in module networkx.generators.small)": [[1260, "networkx.generators.small.icosahedral_graph"]], "krackhardt_kite_graph() (in module networkx.generators.small)": [[1261, "networkx.generators.small.krackhardt_kite_graph"]], "moebius_kantor_graph() (in module networkx.generators.small)": [[1262, "networkx.generators.small.moebius_kantor_graph"]], "octahedral_graph() (in module networkx.generators.small)": [[1263, "networkx.generators.small.octahedral_graph"]], "pappus_graph() (in module networkx.generators.small)": [[1264, "networkx.generators.small.pappus_graph"]], "petersen_graph() (in module networkx.generators.small)": [[1265, "networkx.generators.small.petersen_graph"]], "sedgewick_maze_graph() (in module networkx.generators.small)": [[1266, "networkx.generators.small.sedgewick_maze_graph"]], "tetrahedral_graph() (in module networkx.generators.small)": [[1267, "networkx.generators.small.tetrahedral_graph"]], "truncated_cube_graph() (in module networkx.generators.small)": [[1268, "networkx.generators.small.truncated_cube_graph"]], "truncated_tetrahedron_graph() (in module networkx.generators.small)": [[1269, "networkx.generators.small.truncated_tetrahedron_graph"]], "tutte_graph() (in module networkx.generators.small)": [[1270, "networkx.generators.small.tutte_graph"]], "davis_southern_women_graph() (in module networkx.generators.social)": [[1271, "networkx.generators.social.davis_southern_women_graph"]], "florentine_families_graph() (in module networkx.generators.social)": [[1272, "networkx.generators.social.florentine_families_graph"]], "karate_club_graph() (in module networkx.generators.social)": [[1273, "networkx.generators.social.karate_club_graph"]], "les_miserables_graph() (in module networkx.generators.social)": [[1274, "networkx.generators.social.les_miserables_graph"]], "spectral_graph_forge() (in module networkx.generators.spectral_graph_forge)": [[1275, "networkx.generators.spectral_graph_forge.spectral_graph_forge"]], "stochastic_graph() (in module networkx.generators.stochastic)": [[1276, "networkx.generators.stochastic.stochastic_graph"]], "sudoku_graph() (in module networkx.generators.sudoku)": [[1277, "networkx.generators.sudoku.sudoku_graph"]], "prefix_tree() (in module networkx.generators.trees)": [[1278, "networkx.generators.trees.prefix_tree"]], "random_tree() (in module networkx.generators.trees)": [[1279, "networkx.generators.trees.random_tree"]], "triad_graph() (in module networkx.generators.triads)": [[1280, "networkx.generators.triads.triad_graph"]], "algebraic_connectivity() (in module networkx.linalg.algebraicconnectivity)": [[1281, "networkx.linalg.algebraicconnectivity.algebraic_connectivity"]], "fiedler_vector() (in module networkx.linalg.algebraicconnectivity)": [[1282, "networkx.linalg.algebraicconnectivity.fiedler_vector"]], "spectral_ordering() (in module networkx.linalg.algebraicconnectivity)": [[1283, "networkx.linalg.algebraicconnectivity.spectral_ordering"]], "attr_matrix() (in module networkx.linalg.attrmatrix)": [[1284, "networkx.linalg.attrmatrix.attr_matrix"]], "attr_sparse_matrix() (in module networkx.linalg.attrmatrix)": [[1285, "networkx.linalg.attrmatrix.attr_sparse_matrix"]], "bethe_hessian_matrix() (in module networkx.linalg.bethehessianmatrix)": [[1286, "networkx.linalg.bethehessianmatrix.bethe_hessian_matrix"]], "adjacency_matrix() (in module networkx.linalg.graphmatrix)": [[1287, "networkx.linalg.graphmatrix.adjacency_matrix"]], "incidence_matrix() (in module networkx.linalg.graphmatrix)": [[1288, "networkx.linalg.graphmatrix.incidence_matrix"]], "directed_combinatorial_laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1289, "networkx.linalg.laplacianmatrix.directed_combinatorial_laplacian_matrix"]], "directed_laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1290, "networkx.linalg.laplacianmatrix.directed_laplacian_matrix"]], "laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1291, "networkx.linalg.laplacianmatrix.laplacian_matrix"]], "normalized_laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1292, "networkx.linalg.laplacianmatrix.normalized_laplacian_matrix"]], "directed_modularity_matrix() (in module networkx.linalg.modularitymatrix)": [[1293, "networkx.linalg.modularitymatrix.directed_modularity_matrix"]], "modularity_matrix() (in module networkx.linalg.modularitymatrix)": [[1294, "networkx.linalg.modularitymatrix.modularity_matrix"]], "adjacency_spectrum() (in module networkx.linalg.spectrum)": [[1295, "networkx.linalg.spectrum.adjacency_spectrum"]], "bethe_hessian_spectrum() (in module networkx.linalg.spectrum)": [[1296, "networkx.linalg.spectrum.bethe_hessian_spectrum"]], "laplacian_spectrum() (in module networkx.linalg.spectrum)": [[1297, "networkx.linalg.spectrum.laplacian_spectrum"]], "modularity_spectrum() (in module networkx.linalg.spectrum)": [[1298, "networkx.linalg.spectrum.modularity_spectrum"]], "normalized_laplacian_spectrum() (in module networkx.linalg.spectrum)": [[1299, "networkx.linalg.spectrum.normalized_laplacian_spectrum"]], "convert_node_labels_to_integers() (in module networkx.relabel)": [[1300, "networkx.relabel.convert_node_labels_to_integers"]], "relabel_nodes() (in module networkx.relabel)": [[1301, "networkx.relabel.relabel_nodes"]], "__init__() (argmap method)": [[1302, "networkx.utils.decorators.argmap.__init__"]], "argmap (class in networkx.utils.decorators)": [[1302, "networkx.utils.decorators.argmap"]], "nodes_or_number() (in module networkx.utils.decorators)": [[1303, "networkx.utils.decorators.nodes_or_number"]], "not_implemented_for() (in module networkx.utils.decorators)": [[1304, "networkx.utils.decorators.not_implemented_for"]], "np_random_state() (in module networkx.utils.decorators)": [[1305, "networkx.utils.decorators.np_random_state"]], "open_file() (in module networkx.utils.decorators)": [[1306, "networkx.utils.decorators.open_file"]], "py_random_state() (in module networkx.utils.decorators)": [[1307, "networkx.utils.decorators.py_random_state"]], "mappedqueue (class in networkx.utils.mapped_queue)": [[1308, "networkx.utils.mapped_queue.MappedQueue"]], "__init__() (mappedqueue method)": [[1308, "networkx.utils.mapped_queue.MappedQueue.__init__"]], "arbitrary_element() (in module networkx.utils.misc)": [[1309, "networkx.utils.misc.arbitrary_element"]], "create_py_random_state() (in module networkx.utils.misc)": [[1310, "networkx.utils.misc.create_py_random_state"]], "create_random_state() (in module networkx.utils.misc)": [[1311, "networkx.utils.misc.create_random_state"]], "dict_to_numpy_array() (in module networkx.utils.misc)": [[1312, "networkx.utils.misc.dict_to_numpy_array"]], "edges_equal() (in module networkx.utils.misc)": [[1313, "networkx.utils.misc.edges_equal"]], "flatten() (in module networkx.utils.misc)": [[1314, "networkx.utils.misc.flatten"]], "graphs_equal() (in module networkx.utils.misc)": [[1315, "networkx.utils.misc.graphs_equal"]], "groups() (in module networkx.utils.misc)": [[1316, "networkx.utils.misc.groups"]], "make_list_of_ints() (in module networkx.utils.misc)": [[1317, "networkx.utils.misc.make_list_of_ints"]], "nodes_equal() (in module networkx.utils.misc)": [[1318, "networkx.utils.misc.nodes_equal"]], "pairwise() (in module networkx.utils.misc)": [[1319, "networkx.utils.misc.pairwise"]], "cumulative_distribution() (in module networkx.utils.random_sequence)": [[1320, "networkx.utils.random_sequence.cumulative_distribution"]], "discrete_sequence() (in module networkx.utils.random_sequence)": [[1321, "networkx.utils.random_sequence.discrete_sequence"]], "powerlaw_sequence() (in module networkx.utils.random_sequence)": [[1322, "networkx.utils.random_sequence.powerlaw_sequence"]], "random_weighted_sample() (in module networkx.utils.random_sequence)": [[1323, "networkx.utils.random_sequence.random_weighted_sample"]], "weighted_choice() (in module networkx.utils.random_sequence)": [[1324, "networkx.utils.random_sequence.weighted_choice"]], "zipf_rv() (in module networkx.utils.random_sequence)": [[1325, "networkx.utils.random_sequence.zipf_rv"]], "cuthill_mckee_ordering() (in module networkx.utils.rcm)": [[1326, "networkx.utils.rcm.cuthill_mckee_ordering"]], "reverse_cuthill_mckee_ordering() (in module networkx.utils.rcm)": [[1327, "networkx.utils.rcm.reverse_cuthill_mckee_ordering"]], "union() (unionfind method)": [[1328, "networkx.utils.union_find.UnionFind.union"]], "networkx.generators.atlas": [[1329, "module-networkx.generators.atlas"]], "networkx.generators.classic": [[1329, "module-networkx.generators.classic"]], "networkx.generators.cographs": [[1329, "module-networkx.generators.cographs"]], "networkx.generators.community": [[1329, "module-networkx.generators.community"]], "networkx.generators.degree_seq": [[1329, "module-networkx.generators.degree_seq"]], "networkx.generators.directed": [[1329, "module-networkx.generators.directed"]], "networkx.generators.duplication": [[1329, "module-networkx.generators.duplication"]], "networkx.generators.ego": [[1329, "module-networkx.generators.ego"]], "networkx.generators.expanders": [[1329, "module-networkx.generators.expanders"]], "networkx.generators.geometric": [[1329, "module-networkx.generators.geometric"]], "networkx.generators.harary_graph": [[1329, "module-networkx.generators.harary_graph"]], "networkx.generators.internet_as_graphs": [[1329, "module-networkx.generators.internet_as_graphs"]], "networkx.generators.intersection": [[1329, "module-networkx.generators.intersection"]], "networkx.generators.interval_graph": [[1329, "module-networkx.generators.interval_graph"]], "networkx.generators.joint_degree_seq": [[1329, "module-networkx.generators.joint_degree_seq"]], "networkx.generators.lattice": [[1329, "module-networkx.generators.lattice"]], "networkx.generators.line": [[1329, "module-networkx.generators.line"]], "networkx.generators.mycielski": [[1329, "module-networkx.generators.mycielski"]], "networkx.generators.nonisomorphic_trees": [[1329, "module-networkx.generators.nonisomorphic_trees"]], "networkx.generators.random_clustered": [[1329, "module-networkx.generators.random_clustered"]], "networkx.generators.random_graphs": [[1329, "module-networkx.generators.random_graphs"]], "networkx.generators.small": [[1329, "module-networkx.generators.small"]], "networkx.generators.social": [[1329, "module-networkx.generators.social"]], "networkx.generators.spectral_graph_forge": [[1329, "module-networkx.generators.spectral_graph_forge"]], "networkx.generators.stochastic": [[1329, "module-networkx.generators.stochastic"]], "networkx.generators.sudoku": [[1329, "module-networkx.generators.sudoku"]], "networkx.generators.trees": [[1329, "module-networkx.generators.trees"]], "networkx.generators.triads": [[1329, "module-networkx.generators.triads"]], "dictionary": [[1330, "term-dictionary"]], "ebunch": [[1330, "term-ebunch"]], "edge": [[1330, "term-edge"]], "edge attribute": [[1330, "term-edge-attribute"]], "nbunch": [[1330, "term-nbunch"]], "node": [[1330, "term-node"]], "node attribute": [[1330, "term-node-attribute"]], "networkx.linalg.algebraicconnectivity": [[1333, "module-networkx.linalg.algebraicconnectivity"]], "networkx.linalg.attrmatrix": [[1333, "module-networkx.linalg.attrmatrix"]], "networkx.linalg.bethehessianmatrix": [[1333, "module-networkx.linalg.bethehessianmatrix"]], "networkx.linalg.graphmatrix": [[1333, "module-networkx.linalg.graphmatrix"]], "networkx.linalg.laplacianmatrix": [[1333, "module-networkx.linalg.laplacianmatrix"]], "networkx.linalg.modularitymatrix": [[1333, "module-networkx.linalg.modularitymatrix"]], "networkx.linalg.spectrum": [[1333, "module-networkx.linalg.spectrum"]], "networkx.readwrite.adjlist": [[1335, "module-networkx.readwrite.adjlist"]], "networkx.readwrite.edgelist": [[1336, "module-networkx.readwrite.edgelist"]], "generate_adjlist() (in module networkx.readwrite.adjlist)": [[1337, "networkx.readwrite.adjlist.generate_adjlist"]], "parse_adjlist() (in module networkx.readwrite.adjlist)": [[1338, "networkx.readwrite.adjlist.parse_adjlist"]], "read_adjlist() (in module networkx.readwrite.adjlist)": [[1339, "networkx.readwrite.adjlist.read_adjlist"]], "write_adjlist() (in module networkx.readwrite.adjlist)": [[1340, "networkx.readwrite.adjlist.write_adjlist"]], "generate_edgelist() (in module networkx.readwrite.edgelist)": [[1341, "networkx.readwrite.edgelist.generate_edgelist"]], "parse_edgelist() (in module networkx.readwrite.edgelist)": [[1342, "networkx.readwrite.edgelist.parse_edgelist"]], "read_edgelist() (in module networkx.readwrite.edgelist)": [[1343, "networkx.readwrite.edgelist.read_edgelist"]], "read_weighted_edgelist() (in module networkx.readwrite.edgelist)": [[1344, "networkx.readwrite.edgelist.read_weighted_edgelist"]], "write_edgelist() (in module networkx.readwrite.edgelist)": [[1345, "networkx.readwrite.edgelist.write_edgelist"]], "write_weighted_edgelist() (in module networkx.readwrite.edgelist)": [[1346, "networkx.readwrite.edgelist.write_weighted_edgelist"]], "generate_gexf() (in module networkx.readwrite.gexf)": [[1347, "networkx.readwrite.gexf.generate_gexf"]], "read_gexf() (in module networkx.readwrite.gexf)": [[1348, "networkx.readwrite.gexf.read_gexf"]], "relabel_gexf_graph() (in module networkx.readwrite.gexf)": [[1349, "networkx.readwrite.gexf.relabel_gexf_graph"]], "write_gexf() (in module networkx.readwrite.gexf)": [[1350, "networkx.readwrite.gexf.write_gexf"]], "generate_gml() (in module networkx.readwrite.gml)": [[1351, "networkx.readwrite.gml.generate_gml"]], "literal_destringizer() (in module networkx.readwrite.gml)": [[1352, "networkx.readwrite.gml.literal_destringizer"]], "literal_stringizer() (in module networkx.readwrite.gml)": [[1353, "networkx.readwrite.gml.literal_stringizer"]], "parse_gml() (in module networkx.readwrite.gml)": [[1354, "networkx.readwrite.gml.parse_gml"]], "read_gml() (in module networkx.readwrite.gml)": [[1355, "networkx.readwrite.gml.read_gml"]], "write_gml() (in module networkx.readwrite.gml)": [[1356, "networkx.readwrite.gml.write_gml"]], "from_graph6_bytes() (in module networkx.readwrite.graph6)": [[1357, "networkx.readwrite.graph6.from_graph6_bytes"]], "read_graph6() (in module networkx.readwrite.graph6)": [[1358, "networkx.readwrite.graph6.read_graph6"]], "to_graph6_bytes() (in module networkx.readwrite.graph6)": [[1359, "networkx.readwrite.graph6.to_graph6_bytes"]], "write_graph6() (in module networkx.readwrite.graph6)": [[1360, "networkx.readwrite.graph6.write_graph6"]], "generate_graphml() (in module networkx.readwrite.graphml)": [[1361, "networkx.readwrite.graphml.generate_graphml"]], "parse_graphml() (in module networkx.readwrite.graphml)": [[1362, "networkx.readwrite.graphml.parse_graphml"]], "read_graphml() (in module networkx.readwrite.graphml)": [[1363, "networkx.readwrite.graphml.read_graphml"]], "write_graphml() (in module networkx.readwrite.graphml)": [[1364, "networkx.readwrite.graphml.write_graphml"]], "adjacency_data() (in module networkx.readwrite.json_graph)": [[1365, "networkx.readwrite.json_graph.adjacency_data"]], "adjacency_graph() (in module networkx.readwrite.json_graph)": [[1366, "networkx.readwrite.json_graph.adjacency_graph"]], "cytoscape_data() (in module networkx.readwrite.json_graph)": [[1367, "networkx.readwrite.json_graph.cytoscape_data"]], "cytoscape_graph() (in module networkx.readwrite.json_graph)": [[1368, "networkx.readwrite.json_graph.cytoscape_graph"]], "node_link_data() (in module networkx.readwrite.json_graph)": [[1369, "networkx.readwrite.json_graph.node_link_data"]], "node_link_graph() (in module networkx.readwrite.json_graph)": [[1370, "networkx.readwrite.json_graph.node_link_graph"]], "tree_data() (in module networkx.readwrite.json_graph)": [[1371, "networkx.readwrite.json_graph.tree_data"]], "tree_graph() (in module networkx.readwrite.json_graph)": [[1372, "networkx.readwrite.json_graph.tree_graph"]], "parse_leda() (in module networkx.readwrite.leda)": [[1373, "networkx.readwrite.leda.parse_leda"]], "read_leda() (in module networkx.readwrite.leda)": [[1374, "networkx.readwrite.leda.read_leda"]], "generate_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1375, "networkx.readwrite.multiline_adjlist.generate_multiline_adjlist"]], "parse_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1376, "networkx.readwrite.multiline_adjlist.parse_multiline_adjlist"]], "read_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1377, "networkx.readwrite.multiline_adjlist.read_multiline_adjlist"]], "write_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1378, "networkx.readwrite.multiline_adjlist.write_multiline_adjlist"]], "generate_pajek() (in module networkx.readwrite.pajek)": [[1379, "networkx.readwrite.pajek.generate_pajek"]], "parse_pajek() (in module networkx.readwrite.pajek)": [[1380, "networkx.readwrite.pajek.parse_pajek"]], "read_pajek() (in module networkx.readwrite.pajek)": [[1381, "networkx.readwrite.pajek.read_pajek"]], "write_pajek() (in module networkx.readwrite.pajek)": [[1382, "networkx.readwrite.pajek.write_pajek"]], "from_sparse6_bytes() (in module networkx.readwrite.sparse6)": [[1383, "networkx.readwrite.sparse6.from_sparse6_bytes"]], "read_sparse6() (in module networkx.readwrite.sparse6)": [[1384, "networkx.readwrite.sparse6.read_sparse6"]], "to_sparse6_bytes() (in module networkx.readwrite.sparse6)": [[1385, "networkx.readwrite.sparse6.to_sparse6_bytes"]], "write_sparse6() (in module networkx.readwrite.sparse6)": [[1386, "networkx.readwrite.sparse6.write_sparse6"]], "generate_network_text() (in module networkx.readwrite.text)": [[1387, "networkx.readwrite.text.generate_network_text"]], "write_network_text() (in module networkx.readwrite.text)": [[1388, "networkx.readwrite.text.write_network_text"]], "networkx.readwrite.gexf": [[1389, "module-networkx.readwrite.gexf"]], "networkx.readwrite.gml": [[1390, "module-networkx.readwrite.gml"]], "networkx.readwrite.graphml": [[1391, "module-networkx.readwrite.graphml"]], "networkx.readwrite.json_graph": [[1393, "module-networkx.readwrite.json_graph"]], "networkx.readwrite.leda": [[1394, "module-networkx.readwrite.leda"]], "networkx.readwrite.multiline_adjlist": [[1396, "module-networkx.readwrite.multiline_adjlist"]], "networkx.readwrite.pajek": [[1397, "module-networkx.readwrite.pajek"]], "networkx.readwrite.graph6": [[1398, "module-networkx.readwrite.graph6"]], "networkx.readwrite.sparse6": [[1398, "module-networkx.readwrite.sparse6"]], "networkx.readwrite.text": [[1399, "module-networkx.readwrite.text"]], "networkx.relabel": [[1400, "module-networkx.relabel"]], "networkx.utils": [[1401, "module-networkx.utils"]], "networkx.utils.decorators": [[1401, "module-networkx.utils.decorators"]], "networkx.utils.mapped_queue": [[1401, "module-networkx.utils.mapped_queue"]], "networkx.utils.misc": [[1401, "module-networkx.utils.misc"]], "networkx.utils.random_sequence": [[1401, "module-networkx.utils.random_sequence"]], "networkx.utils.rcm": [[1401, "module-networkx.utils.rcm"]], "networkx.utils.union_find": [[1401, "module-networkx.utils.union_find"]]}})
\ No newline at end of file +Search.setIndex({"docnames": ["auto_examples/3d_drawing/index", "auto_examples/3d_drawing/mayavi2_spring", "auto_examples/3d_drawing/plot_basic", "auto_examples/3d_drawing/sg_execution_times", "auto_examples/algorithms/index", "auto_examples/algorithms/plot_beam_search", "auto_examples/algorithms/plot_betweenness_centrality", "auto_examples/algorithms/plot_blockmodel", "auto_examples/algorithms/plot_circuits", "auto_examples/algorithms/plot_davis_club", "auto_examples/algorithms/plot_dedensification", "auto_examples/algorithms/plot_iterated_dynamical_systems", "auto_examples/algorithms/plot_krackhardt_centrality", "auto_examples/algorithms/plot_maximum_independent_set", "auto_examples/algorithms/plot_parallel_betweenness", "auto_examples/algorithms/plot_rcm", "auto_examples/algorithms/plot_snap", "auto_examples/algorithms/plot_subgraphs", "auto_examples/algorithms/sg_execution_times", "auto_examples/basic/index", "auto_examples/basic/plot_properties", "auto_examples/basic/plot_read_write", "auto_examples/basic/plot_simple_graph", "auto_examples/basic/sg_execution_times", "auto_examples/drawing/index", "auto_examples/drawing/plot_center_node", "auto_examples/drawing/plot_chess_masters", "auto_examples/drawing/plot_custom_node_icons", "auto_examples/drawing/plot_degree", "auto_examples/drawing/plot_directed", "auto_examples/drawing/plot_edge_colormap", "auto_examples/drawing/plot_ego_graph", "auto_examples/drawing/plot_eigenvalues", "auto_examples/drawing/plot_four_grids", "auto_examples/drawing/plot_house_with_colors", "auto_examples/drawing/plot_knuth_miles", "auto_examples/drawing/plot_labels_and_colors", "auto_examples/drawing/plot_multipartite_graph", "auto_examples/drawing/plot_node_colormap", "auto_examples/drawing/plot_rainbow_coloring", "auto_examples/drawing/plot_random_geometric_graph", "auto_examples/drawing/plot_sampson", "auto_examples/drawing/plot_selfloops", "auto_examples/drawing/plot_simple_path", "auto_examples/drawing/plot_spectral_grid", "auto_examples/drawing/plot_tsp", "auto_examples/drawing/plot_unix_email", "auto_examples/drawing/plot_weighted_graph", "auto_examples/drawing/sg_execution_times", "auto_examples/external/index", "auto_examples/external/javascript_force", "auto_examples/external/plot_igraph", "auto_examples/external/sg_execution_times", "auto_examples/geospatial/extended_description", "auto_examples/geospatial/index", "auto_examples/geospatial/plot_delaunay", "auto_examples/geospatial/plot_lines", "auto_examples/geospatial/plot_osmnx", "auto_examples/geospatial/plot_points", "auto_examples/geospatial/plot_polygons", "auto_examples/geospatial/sg_execution_times", "auto_examples/graph/index", "auto_examples/graph/plot_dag_layout", "auto_examples/graph/plot_degree_sequence", "auto_examples/graph/plot_erdos_renyi", "auto_examples/graph/plot_expected_degree_sequence", "auto_examples/graph/plot_football", "auto_examples/graph/plot_karate_club", "auto_examples/graph/plot_morse_trie", "auto_examples/graph/plot_napoleon_russian_campaign", "auto_examples/graph/plot_roget", "auto_examples/graph/plot_triad_types", "auto_examples/graph/plot_words", "auto_examples/graph/sg_execution_times", "auto_examples/graphviz_drawing/index", "auto_examples/graphviz_drawing/plot_attributes", "auto_examples/graphviz_drawing/plot_conversion", "auto_examples/graphviz_drawing/plot_grid", "auto_examples/graphviz_drawing/plot_mini_atlas", "auto_examples/graphviz_drawing/sg_execution_times", "auto_examples/graphviz_layout/index", "auto_examples/graphviz_layout/plot_atlas", "auto_examples/graphviz_layout/plot_circular_tree", "auto_examples/graphviz_layout/plot_decomposition", "auto_examples/graphviz_layout/plot_giant_component", "auto_examples/graphviz_layout/plot_lanl_routes", "auto_examples/graphviz_layout/sg_execution_times", "auto_examples/index", "auto_examples/subclass/index", "auto_examples/subclass/plot_antigraph", "auto_examples/subclass/plot_printgraph", "auto_examples/subclass/sg_execution_times", "developer/about_us", "developer/code_of_conduct", "developer/contribute", "developer/core_developer", "developer/deprecations", "developer/index", "developer/new_contributor_faq", "developer/nxeps/index", "developer/nxeps/nxep-0000", "developer/nxeps/nxep-0001", "developer/nxeps/nxep-0002", "developer/nxeps/nxep-0003", "developer/nxeps/nxep-0004", "developer/nxeps/nxep-template", "developer/projects", "developer/release", "developer/roadmap", "developer/team", "developer/values", "index", "install", "reference/algorithms/approximation", "reference/algorithms/assortativity", "reference/algorithms/asteroidal", "reference/algorithms/bipartite", "reference/algorithms/boundary", "reference/algorithms/bridges", "reference/algorithms/centrality", "reference/algorithms/chains", "reference/algorithms/chordal", "reference/algorithms/clique", "reference/algorithms/clustering", "reference/algorithms/coloring", "reference/algorithms/communicability_alg", "reference/algorithms/community", "reference/algorithms/component", "reference/algorithms/connectivity", "reference/algorithms/core", "reference/algorithms/covering", "reference/algorithms/cuts", "reference/algorithms/cycles", "reference/algorithms/d_separation", "reference/algorithms/dag", "reference/algorithms/distance_measures", "reference/algorithms/distance_regular", "reference/algorithms/dominance", "reference/algorithms/dominating", "reference/algorithms/efficiency_measures", "reference/algorithms/euler", "reference/algorithms/flow", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.construct", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_components", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_subgraphs", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.analyze_symmetry", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.find_isomorphisms", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.is_isomorphic", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.isomorphisms_iter", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.largest_common_subgraph", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_is_isomorphic", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_isomorphisms_iter", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edges_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_ccw", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_cw", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_first", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_node", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_nodes_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_weighted_edges_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adj", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adjacency", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.check_structure", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.connect_components", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.copy", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.degree", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edge_subgraph", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_data", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_edge_data", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_node", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_predecessor", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_successor", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_degree", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_directed", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_multigraph", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.name", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nbunch_iter", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors_cw_order", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.next_face_half_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nodes", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_nodes", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.order", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_degree", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_edges", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.pred", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.predecessors", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edge", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edges_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_node", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_nodes_from", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.reverse", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.set_data", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.size", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.subgraph", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.succ", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.successors", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed_class", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected_class", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.traverse_face", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.update", "reference/algorithms/generated/generated/networkx.algorithms.tree.branchings.Edmonds.find_optimum", "reference/algorithms/generated/networkx.algorithms.approximation.clique.clique_removal", "reference/algorithms/generated/networkx.algorithms.approximation.clique.large_clique_size", "reference/algorithms/generated/networkx.algorithms.approximation.clique.max_clique", "reference/algorithms/generated/networkx.algorithms.approximation.clique.maximum_independent_set", "reference/algorithms/generated/networkx.algorithms.approximation.clustering_coefficient.average_clustering", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.all_pairs_node_connectivity", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.local_node_connectivity", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.node_connectivity", "reference/algorithms/generated/networkx.algorithms.approximation.distance_measures.diameter", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_edge_dominating_set", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_weighted_dominating_set", "reference/algorithms/generated/networkx.algorithms.approximation.kcomponents.k_components", "reference/algorithms/generated/networkx.algorithms.approximation.matching.min_maximal_matching", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.one_exchange", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.randomized_partitioning", "reference/algorithms/generated/networkx.algorithms.approximation.ramsey.ramsey_R2", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.metric_closure", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.steiner_tree", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.asadpour_atsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.christofides", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.greedy_tsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.simulated_annealing_tsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.threshold_accepting_tsp", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.traveling_salesman_problem", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_degree", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_fill_in", "reference/algorithms/generated/networkx.algorithms.approximation.vertex_cover.min_weighted_vertex_cover", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_assortativity_coefficient", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_dict", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_matrix", "reference/algorithms/generated/networkx.algorithms.assortativity.average_degree_connectivity", "reference/algorithms/generated/networkx.algorithms.assortativity.average_neighbor_degree", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_assortativity_coefficient", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_dict", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_matrix", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_pearson_correlation_coefficient", "reference/algorithms/generated/networkx.algorithms.assortativity.mixing_dict", "reference/algorithms/generated/networkx.algorithms.assortativity.node_attribute_xy", "reference/algorithms/generated/networkx.algorithms.assortativity.node_degree_xy", "reference/algorithms/generated/networkx.algorithms.assortativity.numeric_assortativity_coefficient", "reference/algorithms/generated/networkx.algorithms.asteroidal.find_asteroidal_triple", "reference/algorithms/generated/networkx.algorithms.asteroidal.is_at_free", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.color", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.degrees", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.density", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite_node_set", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.sets", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.closeness_centrality", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.degree_centrality", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.average_clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.latapy_clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.robins_alexander_clustering", "reference/algorithms/generated/networkx.algorithms.bipartite.covering.min_edge_cover", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.generate_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.parse_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.read_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.write_edgelist", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.alternating_havel_hakimi_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.complete_bipartite_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.configuration_model", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.gnmk_random_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.havel_hakimi_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.preferential_attachment_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.random_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.reverse_havel_hakimi_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.eppstein_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.hopcroft_karp_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.maximum_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.minimum_weight_full_matching", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.to_vertex_cover", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.biadjacency_matrix", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.from_biadjacency_matrix", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.collaboration_weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.generic_weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.overlap_weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.weighted_projected_graph", "reference/algorithms/generated/networkx.algorithms.bipartite.redundancy.node_redundancy", "reference/algorithms/generated/networkx.algorithms.bipartite.spectral.spectral_bipartivity", "reference/algorithms/generated/networkx.algorithms.boundary.edge_boundary", "reference/algorithms/generated/networkx.algorithms.boundary.node_boundary", "reference/algorithms/generated/networkx.algorithms.bridges.bridges", "reference/algorithms/generated/networkx.algorithms.bridges.has_bridges", "reference/algorithms/generated/networkx.algorithms.bridges.local_bridges", "reference/algorithms/generated/networkx.algorithms.centrality.approximate_current_flow_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.communicability_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.dispersion", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality_subset", "reference/algorithms/generated/networkx.algorithms.centrality.edge_load_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality_numpy", "reference/algorithms/generated/networkx.algorithms.centrality.estrada_index", "reference/algorithms/generated/networkx.algorithms.centrality.global_reaching_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_betweenness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_in_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.group_out_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.harmonic_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.in_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.incremental_closeness_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.information_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality_numpy", "reference/algorithms/generated/networkx.algorithms.centrality.laplacian_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.load_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.local_reaching_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.out_degree_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.percolation_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.prominent_group", "reference/algorithms/generated/networkx.algorithms.centrality.second_order_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality_exp", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_differences", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_incoherence_parameter", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_levels", "reference/algorithms/generated/networkx.algorithms.centrality.voterank", "reference/algorithms/generated/networkx.algorithms.chains.chain_decomposition", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_cliques", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_treewidth", "reference/algorithms/generated/networkx.algorithms.chordal.complete_to_chordal_graph", "reference/algorithms/generated/networkx.algorithms.chordal.find_induced_nodes", "reference/algorithms/generated/networkx.algorithms.chordal.is_chordal", "reference/algorithms/generated/networkx.algorithms.clique.cliques_containing_node", "reference/algorithms/generated/networkx.algorithms.clique.enumerate_all_cliques", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques_recursive", "reference/algorithms/generated/networkx.algorithms.clique.graph_clique_number", "reference/algorithms/generated/networkx.algorithms.clique.graph_number_of_cliques", "reference/algorithms/generated/networkx.algorithms.clique.make_clique_bipartite", "reference/algorithms/generated/networkx.algorithms.clique.make_max_clique_graph", "reference/algorithms/generated/networkx.algorithms.clique.max_weight_clique", "reference/algorithms/generated/networkx.algorithms.clique.node_clique_number", "reference/algorithms/generated/networkx.algorithms.clique.number_of_cliques", "reference/algorithms/generated/networkx.algorithms.cluster.average_clustering", "reference/algorithms/generated/networkx.algorithms.cluster.clustering", "reference/algorithms/generated/networkx.algorithms.cluster.generalized_degree", "reference/algorithms/generated/networkx.algorithms.cluster.square_clustering", "reference/algorithms/generated/networkx.algorithms.cluster.transitivity", "reference/algorithms/generated/networkx.algorithms.cluster.triangles", "reference/algorithms/generated/networkx.algorithms.coloring.equitable_color", "reference/algorithms/generated/networkx.algorithms.coloring.greedy_color", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_bfs", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_dfs", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_independent_set", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_largest_first", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_random_sequential", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_saturation_largest_first", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_smallest_last", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability_exp", "reference/algorithms/generated/networkx.algorithms.community.asyn_fluid.asyn_fluidc", "reference/algorithms/generated/networkx.algorithms.community.centrality.girvan_newman", "reference/algorithms/generated/networkx.algorithms.community.community_utils.is_partition", "reference/algorithms/generated/networkx.algorithms.community.kclique.k_clique_communities", "reference/algorithms/generated/networkx.algorithms.community.kernighan_lin.kernighan_lin_bisection", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.asyn_lpa_communities", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.label_propagation_communities", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_communities", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_partitions", "reference/algorithms/generated/networkx.algorithms.community.lukes.lukes_partitioning", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.greedy_modularity_communities", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.naive_greedy_modularity_communities", "reference/algorithms/generated/networkx.algorithms.community.quality.modularity", "reference/algorithms/generated/networkx.algorithms.community.quality.partition_quality", "reference/algorithms/generated/networkx.algorithms.components.articulation_points", "reference/algorithms/generated/networkx.algorithms.components.attracting_components", "reference/algorithms/generated/networkx.algorithms.components.biconnected_component_edges", "reference/algorithms/generated/networkx.algorithms.components.biconnected_components", "reference/algorithms/generated/networkx.algorithms.components.condensation", "reference/algorithms/generated/networkx.algorithms.components.connected_components", "reference/algorithms/generated/networkx.algorithms.components.is_attracting_component", "reference/algorithms/generated/networkx.algorithms.components.is_biconnected", "reference/algorithms/generated/networkx.algorithms.components.is_connected", "reference/algorithms/generated/networkx.algorithms.components.is_semiconnected", "reference/algorithms/generated/networkx.algorithms.components.is_strongly_connected", "reference/algorithms/generated/networkx.algorithms.components.is_weakly_connected", "reference/algorithms/generated/networkx.algorithms.components.kosaraju_strongly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.node_connected_component", "reference/algorithms/generated/networkx.algorithms.components.number_attracting_components", "reference/algorithms/generated/networkx.algorithms.components.number_connected_components", "reference/algorithms/generated/networkx.algorithms.components.number_strongly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.number_weakly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components_recursive", "reference/algorithms/generated/networkx.algorithms.components.weakly_connected_components", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.all_pairs_node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.average_node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.edge_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_edge_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.node_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_edge_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_node_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_edge_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_node_cut", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.edge_disjoint_paths", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.node_disjoint_paths", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_k_edge_connected", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_locally_k_edge_connected", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.bridge_components", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_components", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs", "reference/algorithms/generated/networkx.algorithms.connectivity.kcomponents.k_components", "reference/algorithms/generated/networkx.algorithms.connectivity.kcutsets.all_node_cuts", "reference/algorithms/generated/networkx.algorithms.connectivity.stoerwagner.stoer_wagner", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_edge_connectivity", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_node_connectivity", "reference/algorithms/generated/networkx.algorithms.core.core_number", "reference/algorithms/generated/networkx.algorithms.core.k_core", "reference/algorithms/generated/networkx.algorithms.core.k_corona", "reference/algorithms/generated/networkx.algorithms.core.k_crust", "reference/algorithms/generated/networkx.algorithms.core.k_shell", "reference/algorithms/generated/networkx.algorithms.core.k_truss", "reference/algorithms/generated/networkx.algorithms.core.onion_layers", "reference/algorithms/generated/networkx.algorithms.covering.is_edge_cover", "reference/algorithms/generated/networkx.algorithms.covering.min_edge_cover", "reference/algorithms/generated/networkx.algorithms.cuts.boundary_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.conductance", "reference/algorithms/generated/networkx.algorithms.cuts.cut_size", "reference/algorithms/generated/networkx.algorithms.cuts.edge_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.mixing_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.node_expansion", "reference/algorithms/generated/networkx.algorithms.cuts.normalized_cut_size", "reference/algorithms/generated/networkx.algorithms.cuts.volume", "reference/algorithms/generated/networkx.algorithms.cycles.cycle_basis", "reference/algorithms/generated/networkx.algorithms.cycles.find_cycle", "reference/algorithms/generated/networkx.algorithms.cycles.minimum_cycle_basis", "reference/algorithms/generated/networkx.algorithms.cycles.recursive_simple_cycles", "reference/algorithms/generated/networkx.algorithms.cycles.simple_cycles", "reference/algorithms/generated/networkx.algorithms.d_separation.d_separated", "reference/algorithms/generated/networkx.algorithms.dag.all_topological_sorts", "reference/algorithms/generated/networkx.algorithms.dag.ancestors", "reference/algorithms/generated/networkx.algorithms.dag.antichains", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path_length", "reference/algorithms/generated/networkx.algorithms.dag.dag_to_branching", "reference/algorithms/generated/networkx.algorithms.dag.descendants", "reference/algorithms/generated/networkx.algorithms.dag.is_aperiodic", "reference/algorithms/generated/networkx.algorithms.dag.is_directed_acyclic_graph", "reference/algorithms/generated/networkx.algorithms.dag.lexicographical_topological_sort", "reference/algorithms/generated/networkx.algorithms.dag.topological_generations", "reference/algorithms/generated/networkx.algorithms.dag.topological_sort", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure_dag", "reference/algorithms/generated/networkx.algorithms.dag.transitive_reduction", "reference/algorithms/generated/networkx.algorithms.distance_measures.barycenter", "reference/algorithms/generated/networkx.algorithms.distance_measures.center", "reference/algorithms/generated/networkx.algorithms.distance_measures.diameter", "reference/algorithms/generated/networkx.algorithms.distance_measures.eccentricity", "reference/algorithms/generated/networkx.algorithms.distance_measures.periphery", "reference/algorithms/generated/networkx.algorithms.distance_measures.radius", "reference/algorithms/generated/networkx.algorithms.distance_measures.resistance_distance", "reference/algorithms/generated/networkx.algorithms.distance_regular.global_parameters", "reference/algorithms/generated/networkx.algorithms.distance_regular.intersection_array", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_distance_regular", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_strongly_regular", "reference/algorithms/generated/networkx.algorithms.dominance.dominance_frontiers", "reference/algorithms/generated/networkx.algorithms.dominance.immediate_dominators", "reference/algorithms/generated/networkx.algorithms.dominating.dominating_set", "reference/algorithms/generated/networkx.algorithms.dominating.is_dominating_set", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.efficiency", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.global_efficiency", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.local_efficiency", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_circuit", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_path", "reference/algorithms/generated/networkx.algorithms.euler.eulerize", "reference/algorithms/generated/networkx.algorithms.euler.has_eulerian_path", "reference/algorithms/generated/networkx.algorithms.euler.is_eulerian", "reference/algorithms/generated/networkx.algorithms.euler.is_semieulerian", "reference/algorithms/generated/networkx.algorithms.flow.boykov_kolmogorov", "reference/algorithms/generated/networkx.algorithms.flow.build_residual_network", "reference/algorithms/generated/networkx.algorithms.flow.capacity_scaling", "reference/algorithms/generated/networkx.algorithms.flow.cost_of_flow", "reference/algorithms/generated/networkx.algorithms.flow.dinitz", "reference/algorithms/generated/networkx.algorithms.flow.edmonds_karp", "reference/algorithms/generated/networkx.algorithms.flow.gomory_hu_tree", "reference/algorithms/generated/networkx.algorithms.flow.max_flow_min_cost", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow_value", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow_cost", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut_value", "reference/algorithms/generated/networkx.algorithms.flow.network_simplex", "reference/algorithms/generated/networkx.algorithms.flow.preflow_push", "reference/algorithms/generated/networkx.algorithms.flow.shortest_augmenting_path", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_graph_hash", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_subgraph_hashes", "reference/algorithms/generated/networkx.algorithms.graphical.is_digraphical", "reference/algorithms/generated/networkx.algorithms.graphical.is_graphical", "reference/algorithms/generated/networkx.algorithms.graphical.is_multigraphical", "reference/algorithms/generated/networkx.algorithms.graphical.is_pseudographical", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_erdos_gallai", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_havel_hakimi", "reference/algorithms/generated/networkx.algorithms.hierarchy.flow_hierarchy", "reference/algorithms/generated/networkx.algorithms.hybrid.is_kl_connected", "reference/algorithms/generated/networkx.algorithms.hybrid.kl_connected_subgraph", "reference/algorithms/generated/networkx.algorithms.isolate.is_isolate", "reference/algorithms/generated/networkx.algorithms.isolate.isolates", "reference/algorithms/generated/networkx.algorithms.isolate.number_of_isolates", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.__init__", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.candidate_pairs_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.initialize", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.match", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.semantic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.syntactic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.__init__", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.candidate_pairs_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.initialize", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.match", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.semantic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_isomorphisms_iter", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.syntactic_feasibility", "reference/algorithms/generated/networkx.algorithms.isomorphism.ISMAGS", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_edge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_multiedge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_node_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.could_be_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.fast_could_be_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.faster_could_be_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_edge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_multiedge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_node_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_edge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_multiedge_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_node_match", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.rooted_tree_isomorphism", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.tree_isomorphism", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_all_isomorphisms", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_is_isomorphic", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_isomorphism", "reference/algorithms/generated/networkx.algorithms.link_analysis.hits_alg.hits", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.google_matrix", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.pagerank", "reference/algorithms/generated/networkx.algorithms.link_prediction.adamic_adar_index", "reference/algorithms/generated/networkx.algorithms.link_prediction.cn_soundarajan_hopcroft", "reference/algorithms/generated/networkx.algorithms.link_prediction.common_neighbor_centrality", "reference/algorithms/generated/networkx.algorithms.link_prediction.jaccard_coefficient", "reference/algorithms/generated/networkx.algorithms.link_prediction.preferential_attachment", "reference/algorithms/generated/networkx.algorithms.link_prediction.ra_index_soundarajan_hopcroft", "reference/algorithms/generated/networkx.algorithms.link_prediction.resource_allocation_index", "reference/algorithms/generated/networkx.algorithms.link_prediction.within_inter_cluster", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.all_pairs_lowest_common_ancestor", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.lowest_common_ancestor", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.tree_all_pairs_lowest_common_ancestor", "reference/algorithms/generated/networkx.algorithms.matching.is_matching", "reference/algorithms/generated/networkx.algorithms.matching.is_maximal_matching", "reference/algorithms/generated/networkx.algorithms.matching.is_perfect_matching", "reference/algorithms/generated/networkx.algorithms.matching.max_weight_matching", "reference/algorithms/generated/networkx.algorithms.matching.maximal_matching", "reference/algorithms/generated/networkx.algorithms.matching.min_weight_matching", "reference/algorithms/generated/networkx.algorithms.minors.contracted_edge", "reference/algorithms/generated/networkx.algorithms.minors.contracted_nodes", "reference/algorithms/generated/networkx.algorithms.minors.equivalence_classes", "reference/algorithms/generated/networkx.algorithms.minors.identified_nodes", "reference/algorithms/generated/networkx.algorithms.minors.quotient_graph", "reference/algorithms/generated/networkx.algorithms.mis.maximal_independent_set", "reference/algorithms/generated/networkx.algorithms.moral.moral_graph", "reference/algorithms/generated/networkx.algorithms.node_classification.harmonic_function", "reference/algorithms/generated/networkx.algorithms.node_classification.local_and_global_consistency", "reference/algorithms/generated/networkx.algorithms.non_randomness.non_randomness", "reference/algorithms/generated/networkx.algorithms.operators.all.compose_all", "reference/algorithms/generated/networkx.algorithms.operators.all.disjoint_union_all", "reference/algorithms/generated/networkx.algorithms.operators.all.intersection_all", "reference/algorithms/generated/networkx.algorithms.operators.all.union_all", "reference/algorithms/generated/networkx.algorithms.operators.binary.compose", "reference/algorithms/generated/networkx.algorithms.operators.binary.difference", "reference/algorithms/generated/networkx.algorithms.operators.binary.disjoint_union", "reference/algorithms/generated/networkx.algorithms.operators.binary.full_join", "reference/algorithms/generated/networkx.algorithms.operators.binary.intersection", "reference/algorithms/generated/networkx.algorithms.operators.binary.symmetric_difference", "reference/algorithms/generated/networkx.algorithms.operators.binary.union", "reference/algorithms/generated/networkx.algorithms.operators.product.cartesian_product", "reference/algorithms/generated/networkx.algorithms.operators.product.corona_product", "reference/algorithms/generated/networkx.algorithms.operators.product.lexicographic_product", "reference/algorithms/generated/networkx.algorithms.operators.product.power", "reference/algorithms/generated/networkx.algorithms.operators.product.rooted_product", "reference/algorithms/generated/networkx.algorithms.operators.product.strong_product", "reference/algorithms/generated/networkx.algorithms.operators.product.tensor_product", "reference/algorithms/generated/networkx.algorithms.operators.unary.complement", "reference/algorithms/generated/networkx.algorithms.operators.unary.reverse", "reference/algorithms/generated/networkx.algorithms.planar_drawing.combinatorial_embedding_to_pos", "reference/algorithms/generated/networkx.algorithms.planarity.PlanarEmbedding", "reference/algorithms/generated/networkx.algorithms.planarity.check_planarity", "reference/algorithms/generated/networkx.algorithms.planarity.is_planar", "reference/algorithms/generated/networkx.algorithms.polynomials.chromatic_polynomial", "reference/algorithms/generated/networkx.algorithms.polynomials.tutte_polynomial", "reference/algorithms/generated/networkx.algorithms.reciprocity.overall_reciprocity", "reference/algorithms/generated/networkx.algorithms.reciprocity.reciprocity", "reference/algorithms/generated/networkx.algorithms.regular.is_k_regular", "reference/algorithms/generated/networkx.algorithms.regular.is_regular", "reference/algorithms/generated/networkx.algorithms.regular.k_factor", "reference/algorithms/generated/networkx.algorithms.richclub.rich_club_coefficient", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_numpy", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_predecessor_and_distance", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.reconstruct_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.all_shortest_paths", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.average_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.has_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.bidirectional_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.predecessor", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_predecessor_and_distance", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bidirectional_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_predecessor_and_distance", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.find_negative_cycle", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.goldberg_radzik", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.johnson", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.negative_edge_cycle", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path_length", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path_length", "reference/algorithms/generated/networkx.algorithms.similarity.generate_random_paths", "reference/algorithms/generated/networkx.algorithms.similarity.graph_edit_distance", "reference/algorithms/generated/networkx.algorithms.similarity.optimal_edit_paths", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_edit_paths", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_graph_edit_distance", "reference/algorithms/generated/networkx.algorithms.similarity.panther_similarity", "reference/algorithms/generated/networkx.algorithms.similarity.simrank_similarity", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_edge_paths", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_paths", "reference/algorithms/generated/networkx.algorithms.simple_paths.is_simple_path", "reference/algorithms/generated/networkx.algorithms.simple_paths.shortest_simple_paths", "reference/algorithms/generated/networkx.algorithms.smallworld.lattice_reference", "reference/algorithms/generated/networkx.algorithms.smallworld.omega", "reference/algorithms/generated/networkx.algorithms.smallworld.random_reference", "reference/algorithms/generated/networkx.algorithms.smallworld.sigma", "reference/algorithms/generated/networkx.algorithms.smetric.s_metric", "reference/algorithms/generated/networkx.algorithms.sparsifiers.spanner", "reference/algorithms/generated/networkx.algorithms.structuralholes.constraint", "reference/algorithms/generated/networkx.algorithms.structuralholes.effective_size", "reference/algorithms/generated/networkx.algorithms.structuralholes.local_constraint", "reference/algorithms/generated/networkx.algorithms.summarization.dedensify", "reference/algorithms/generated/networkx.algorithms.summarization.snap_aggregation", "reference/algorithms/generated/networkx.algorithms.swap.connected_double_edge_swap", "reference/algorithms/generated/networkx.algorithms.swap.directed_edge_swap", "reference/algorithms/generated/networkx.algorithms.swap.double_edge_swap", "reference/algorithms/generated/networkx.algorithms.threshold.find_threshold_graph", "reference/algorithms/generated/networkx.algorithms.threshold.is_threshold_graph", "reference/algorithms/generated/networkx.algorithms.tournament.hamiltonian_path", "reference/algorithms/generated/networkx.algorithms.tournament.is_reachable", "reference/algorithms/generated/networkx.algorithms.tournament.is_strongly_connected", "reference/algorithms/generated/networkx.algorithms.tournament.is_tournament", "reference/algorithms/generated/networkx.algorithms.tournament.random_tournament", "reference/algorithms/generated/networkx.algorithms.tournament.score_sequence", "reference/algorithms/generated/networkx.algorithms.traversal.beamsearch.bfs_beam_edges", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_layers", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_predecessors", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_successors", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_tree", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.descendants_at_distance", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_edges", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_labeled_edges", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_postorder_nodes", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_predecessors", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_preorder_nodes", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_successors", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_tree", "reference/algorithms/generated/networkx.algorithms.traversal.edgebfs.edge_bfs", "reference/algorithms/generated/networkx.algorithms.traversal.edgedfs.edge_dfs", "reference/algorithms/generated/networkx.algorithms.tree.branchings.ArborescenceIterator", "reference/algorithms/generated/networkx.algorithms.tree.branchings.Edmonds", "reference/algorithms/generated/networkx.algorithms.tree.branchings.branching_weight", "reference/algorithms/generated/networkx.algorithms.tree.branchings.greedy_branching", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_branching", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_spanning_arborescence", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_branching", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_spanning_arborescence", "reference/algorithms/generated/networkx.algorithms.tree.coding.NotATree", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_nested_tuple", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_prufer_sequence", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_nested_tuple", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_prufer_sequence", "reference/algorithms/generated/networkx.algorithms.tree.decomposition.junction_tree", "reference/algorithms/generated/networkx.algorithms.tree.mst.SpanningTreeIterator", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_edges", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_tree", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_edges", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_tree", "reference/algorithms/generated/networkx.algorithms.tree.mst.random_spanning_tree", "reference/algorithms/generated/networkx.algorithms.tree.operations.join", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_arborescence", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_branching", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_forest", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_tree", "reference/algorithms/generated/networkx.algorithms.triads.all_triads", "reference/algorithms/generated/networkx.algorithms.triads.all_triplets", "reference/algorithms/generated/networkx.algorithms.triads.is_triad", "reference/algorithms/generated/networkx.algorithms.triads.random_triad", "reference/algorithms/generated/networkx.algorithms.triads.triad_type", "reference/algorithms/generated/networkx.algorithms.triads.triadic_census", "reference/algorithms/generated/networkx.algorithms.triads.triads_by_type", "reference/algorithms/generated/networkx.algorithms.vitality.closeness_vitality", "reference/algorithms/generated/networkx.algorithms.voronoi.voronoi_cells", "reference/algorithms/generated/networkx.algorithms.wiener.wiener_index", "reference/algorithms/graph_hashing", "reference/algorithms/graphical", "reference/algorithms/hierarchy", "reference/algorithms/hybrid", "reference/algorithms/index", "reference/algorithms/isolates", "reference/algorithms/isomorphism", "reference/algorithms/isomorphism.ismags", "reference/algorithms/isomorphism.vf2", "reference/algorithms/link_analysis", "reference/algorithms/link_prediction", "reference/algorithms/lowest_common_ancestors", "reference/algorithms/matching", "reference/algorithms/minors", "reference/algorithms/mis", "reference/algorithms/moral", "reference/algorithms/node_classification", "reference/algorithms/non_randomness", "reference/algorithms/operators", "reference/algorithms/planar_drawing", "reference/algorithms/planarity", "reference/algorithms/polynomials", "reference/algorithms/reciprocity", "reference/algorithms/regular", "reference/algorithms/rich_club", "reference/algorithms/shortest_paths", "reference/algorithms/similarity", "reference/algorithms/simple_paths", "reference/algorithms/smallworld", "reference/algorithms/smetric", "reference/algorithms/sparsifiers", "reference/algorithms/structuralholes", "reference/algorithms/summarization", "reference/algorithms/swap", "reference/algorithms/threshold", "reference/algorithms/tournament", "reference/algorithms/traversal", "reference/algorithms/tree", "reference/algorithms/triads", "reference/algorithms/vitality", "reference/algorithms/voronoi", "reference/algorithms/wiener", "reference/classes/digraph", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.copy", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.get", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.items", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.keys", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.values", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.copy", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.get", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.items", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.keys", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.get", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.items", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.keys", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.values", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.copy", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.get", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.items", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.keys", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.values", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.copy", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.get", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.items", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.keys", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.values", "reference/classes/generated/networkx.DiGraph.__contains__", "reference/classes/generated/networkx.DiGraph.__getitem__", "reference/classes/generated/networkx.DiGraph.__init__", "reference/classes/generated/networkx.DiGraph.__iter__", "reference/classes/generated/networkx.DiGraph.__len__", "reference/classes/generated/networkx.DiGraph.add_edge", "reference/classes/generated/networkx.DiGraph.add_edges_from", "reference/classes/generated/networkx.DiGraph.add_node", "reference/classes/generated/networkx.DiGraph.add_nodes_from", "reference/classes/generated/networkx.DiGraph.add_weighted_edges_from", "reference/classes/generated/networkx.DiGraph.adj", "reference/classes/generated/networkx.DiGraph.adjacency", "reference/classes/generated/networkx.DiGraph.clear", "reference/classes/generated/networkx.DiGraph.clear_edges", "reference/classes/generated/networkx.DiGraph.copy", "reference/classes/generated/networkx.DiGraph.degree", "reference/classes/generated/networkx.DiGraph.edge_subgraph", "reference/classes/generated/networkx.DiGraph.edges", "reference/classes/generated/networkx.DiGraph.get_edge_data", "reference/classes/generated/networkx.DiGraph.has_edge", "reference/classes/generated/networkx.DiGraph.has_node", "reference/classes/generated/networkx.DiGraph.in_degree", "reference/classes/generated/networkx.DiGraph.in_edges", "reference/classes/generated/networkx.DiGraph.nbunch_iter", "reference/classes/generated/networkx.DiGraph.neighbors", "reference/classes/generated/networkx.DiGraph.nodes", "reference/classes/generated/networkx.DiGraph.number_of_edges", "reference/classes/generated/networkx.DiGraph.number_of_nodes", "reference/classes/generated/networkx.DiGraph.order", "reference/classes/generated/networkx.DiGraph.out_degree", "reference/classes/generated/networkx.DiGraph.out_edges", "reference/classes/generated/networkx.DiGraph.pred", "reference/classes/generated/networkx.DiGraph.predecessors", "reference/classes/generated/networkx.DiGraph.remove_edge", "reference/classes/generated/networkx.DiGraph.remove_edges_from", "reference/classes/generated/networkx.DiGraph.remove_node", "reference/classes/generated/networkx.DiGraph.remove_nodes_from", "reference/classes/generated/networkx.DiGraph.reverse", "reference/classes/generated/networkx.DiGraph.size", "reference/classes/generated/networkx.DiGraph.subgraph", "reference/classes/generated/networkx.DiGraph.succ", "reference/classes/generated/networkx.DiGraph.successors", "reference/classes/generated/networkx.DiGraph.to_directed", "reference/classes/generated/networkx.DiGraph.to_undirected", "reference/classes/generated/networkx.DiGraph.update", "reference/classes/generated/networkx.Graph.__contains__", "reference/classes/generated/networkx.Graph.__getitem__", "reference/classes/generated/networkx.Graph.__init__", "reference/classes/generated/networkx.Graph.__iter__", "reference/classes/generated/networkx.Graph.__len__", "reference/classes/generated/networkx.Graph.add_edge", "reference/classes/generated/networkx.Graph.add_edges_from", "reference/classes/generated/networkx.Graph.add_node", "reference/classes/generated/networkx.Graph.add_nodes_from", "reference/classes/generated/networkx.Graph.add_weighted_edges_from", "reference/classes/generated/networkx.Graph.adj", "reference/classes/generated/networkx.Graph.adjacency", "reference/classes/generated/networkx.Graph.clear", "reference/classes/generated/networkx.Graph.clear_edges", "reference/classes/generated/networkx.Graph.copy", "reference/classes/generated/networkx.Graph.degree", "reference/classes/generated/networkx.Graph.edge_subgraph", "reference/classes/generated/networkx.Graph.edges", "reference/classes/generated/networkx.Graph.get_edge_data", "reference/classes/generated/networkx.Graph.has_edge", "reference/classes/generated/networkx.Graph.has_node", "reference/classes/generated/networkx.Graph.nbunch_iter", "reference/classes/generated/networkx.Graph.neighbors", "reference/classes/generated/networkx.Graph.nodes", "reference/classes/generated/networkx.Graph.number_of_edges", "reference/classes/generated/networkx.Graph.number_of_nodes", "reference/classes/generated/networkx.Graph.order", "reference/classes/generated/networkx.Graph.remove_edge", "reference/classes/generated/networkx.Graph.remove_edges_from", "reference/classes/generated/networkx.Graph.remove_node", "reference/classes/generated/networkx.Graph.remove_nodes_from", "reference/classes/generated/networkx.Graph.size", "reference/classes/generated/networkx.Graph.subgraph", "reference/classes/generated/networkx.Graph.to_directed", "reference/classes/generated/networkx.Graph.to_undirected", "reference/classes/generated/networkx.Graph.update", "reference/classes/generated/networkx.MultiDiGraph.__contains__", "reference/classes/generated/networkx.MultiDiGraph.__getitem__", "reference/classes/generated/networkx.MultiDiGraph.__init__", "reference/classes/generated/networkx.MultiDiGraph.__iter__", "reference/classes/generated/networkx.MultiDiGraph.__len__", "reference/classes/generated/networkx.MultiDiGraph.add_edge", "reference/classes/generated/networkx.MultiDiGraph.add_edges_from", "reference/classes/generated/networkx.MultiDiGraph.add_node", "reference/classes/generated/networkx.MultiDiGraph.add_nodes_from", "reference/classes/generated/networkx.MultiDiGraph.add_weighted_edges_from", "reference/classes/generated/networkx.MultiDiGraph.adj", "reference/classes/generated/networkx.MultiDiGraph.adjacency", "reference/classes/generated/networkx.MultiDiGraph.clear", "reference/classes/generated/networkx.MultiDiGraph.clear_edges", "reference/classes/generated/networkx.MultiDiGraph.copy", "reference/classes/generated/networkx.MultiDiGraph.degree", "reference/classes/generated/networkx.MultiDiGraph.edge_subgraph", "reference/classes/generated/networkx.MultiDiGraph.edges", "reference/classes/generated/networkx.MultiDiGraph.get_edge_data", "reference/classes/generated/networkx.MultiDiGraph.has_edge", "reference/classes/generated/networkx.MultiDiGraph.has_node", "reference/classes/generated/networkx.MultiDiGraph.in_degree", "reference/classes/generated/networkx.MultiDiGraph.in_edges", "reference/classes/generated/networkx.MultiDiGraph.nbunch_iter", "reference/classes/generated/networkx.MultiDiGraph.neighbors", "reference/classes/generated/networkx.MultiDiGraph.new_edge_key", "reference/classes/generated/networkx.MultiDiGraph.nodes", "reference/classes/generated/networkx.MultiDiGraph.number_of_edges", "reference/classes/generated/networkx.MultiDiGraph.number_of_nodes", "reference/classes/generated/networkx.MultiDiGraph.order", "reference/classes/generated/networkx.MultiDiGraph.out_degree", "reference/classes/generated/networkx.MultiDiGraph.out_edges", "reference/classes/generated/networkx.MultiDiGraph.pred", "reference/classes/generated/networkx.MultiDiGraph.predecessors", "reference/classes/generated/networkx.MultiDiGraph.remove_edge", "reference/classes/generated/networkx.MultiDiGraph.remove_edges_from", "reference/classes/generated/networkx.MultiDiGraph.remove_node", "reference/classes/generated/networkx.MultiDiGraph.remove_nodes_from", "reference/classes/generated/networkx.MultiDiGraph.reverse", "reference/classes/generated/networkx.MultiDiGraph.size", "reference/classes/generated/networkx.MultiDiGraph.subgraph", "reference/classes/generated/networkx.MultiDiGraph.succ", "reference/classes/generated/networkx.MultiDiGraph.successors", "reference/classes/generated/networkx.MultiDiGraph.to_directed", "reference/classes/generated/networkx.MultiDiGraph.to_undirected", "reference/classes/generated/networkx.MultiDiGraph.update", "reference/classes/generated/networkx.MultiGraph.__contains__", "reference/classes/generated/networkx.MultiGraph.__getitem__", "reference/classes/generated/networkx.MultiGraph.__init__", "reference/classes/generated/networkx.MultiGraph.__iter__", "reference/classes/generated/networkx.MultiGraph.__len__", "reference/classes/generated/networkx.MultiGraph.add_edge", "reference/classes/generated/networkx.MultiGraph.add_edges_from", "reference/classes/generated/networkx.MultiGraph.add_node", "reference/classes/generated/networkx.MultiGraph.add_nodes_from", "reference/classes/generated/networkx.MultiGraph.add_weighted_edges_from", "reference/classes/generated/networkx.MultiGraph.adj", "reference/classes/generated/networkx.MultiGraph.adjacency", "reference/classes/generated/networkx.MultiGraph.clear", "reference/classes/generated/networkx.MultiGraph.clear_edges", "reference/classes/generated/networkx.MultiGraph.copy", "reference/classes/generated/networkx.MultiGraph.degree", "reference/classes/generated/networkx.MultiGraph.edge_subgraph", "reference/classes/generated/networkx.MultiGraph.edges", "reference/classes/generated/networkx.MultiGraph.get_edge_data", "reference/classes/generated/networkx.MultiGraph.has_edge", "reference/classes/generated/networkx.MultiGraph.has_node", "reference/classes/generated/networkx.MultiGraph.nbunch_iter", "reference/classes/generated/networkx.MultiGraph.neighbors", "reference/classes/generated/networkx.MultiGraph.new_edge_key", "reference/classes/generated/networkx.MultiGraph.nodes", "reference/classes/generated/networkx.MultiGraph.number_of_edges", "reference/classes/generated/networkx.MultiGraph.number_of_nodes", "reference/classes/generated/networkx.MultiGraph.order", "reference/classes/generated/networkx.MultiGraph.remove_edge", "reference/classes/generated/networkx.MultiGraph.remove_edges_from", "reference/classes/generated/networkx.MultiGraph.remove_node", "reference/classes/generated/networkx.MultiGraph.remove_nodes_from", "reference/classes/generated/networkx.MultiGraph.size", "reference/classes/generated/networkx.MultiGraph.subgraph", "reference/classes/generated/networkx.MultiGraph.to_directed", "reference/classes/generated/networkx.MultiGraph.to_undirected", "reference/classes/generated/networkx.MultiGraph.update", "reference/classes/generated/networkx.classes.backends._dispatch", "reference/classes/generated/networkx.classes.coreviews.AdjacencyView", "reference/classes/generated/networkx.classes.coreviews.AtlasView", "reference/classes/generated/networkx.classes.coreviews.FilterAdjacency", "reference/classes/generated/networkx.classes.coreviews.FilterAtlas", "reference/classes/generated/networkx.classes.coreviews.FilterMultiAdjacency", "reference/classes/generated/networkx.classes.coreviews.FilterMultiInner", "reference/classes/generated/networkx.classes.coreviews.MultiAdjacencyView", "reference/classes/generated/networkx.classes.coreviews.UnionAdjacency", "reference/classes/generated/networkx.classes.coreviews.UnionAtlas", "reference/classes/generated/networkx.classes.coreviews.UnionMultiAdjacency", "reference/classes/generated/networkx.classes.coreviews.UnionMultiInner", "reference/classes/generated/networkx.classes.filters.hide_diedges", "reference/classes/generated/networkx.classes.filters.hide_edges", "reference/classes/generated/networkx.classes.filters.hide_multidiedges", "reference/classes/generated/networkx.classes.filters.hide_multiedges", "reference/classes/generated/networkx.classes.filters.hide_nodes", "reference/classes/generated/networkx.classes.filters.no_filter", "reference/classes/generated/networkx.classes.filters.show_diedges", "reference/classes/generated/networkx.classes.filters.show_edges", "reference/classes/generated/networkx.classes.filters.show_multidiedges", "reference/classes/generated/networkx.classes.filters.show_multiedges", "reference/classes/generated/networkx.classes.filters.show_nodes", "reference/classes/generated/networkx.classes.graphviews.generic_graph_view", "reference/classes/generated/networkx.classes.graphviews.reverse_view", "reference/classes/generated/networkx.classes.graphviews.subgraph_view", "reference/classes/graph", "reference/classes/index", "reference/classes/multidigraph", "reference/classes/multigraph", "reference/convert", "reference/drawing", "reference/exceptions", "reference/functions", "reference/generated/generated/networkx.utils.decorators.argmap.assemble", "reference/generated/generated/networkx.utils.decorators.argmap.compile", "reference/generated/generated/networkx.utils.decorators.argmap.signature", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.pop", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.push", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.remove", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.update", "reference/generated/networkx.classes.function.add_cycle", "reference/generated/networkx.classes.function.add_path", "reference/generated/networkx.classes.function.add_star", "reference/generated/networkx.classes.function.all_neighbors", "reference/generated/networkx.classes.function.common_neighbors", "reference/generated/networkx.classes.function.create_empty_copy", "reference/generated/networkx.classes.function.degree", "reference/generated/networkx.classes.function.degree_histogram", "reference/generated/networkx.classes.function.density", "reference/generated/networkx.classes.function.edge_subgraph", "reference/generated/networkx.classes.function.edges", "reference/generated/networkx.classes.function.freeze", "reference/generated/networkx.classes.function.get_edge_attributes", "reference/generated/networkx.classes.function.get_node_attributes", "reference/generated/networkx.classes.function.induced_subgraph", "reference/generated/networkx.classes.function.is_directed", "reference/generated/networkx.classes.function.is_empty", "reference/generated/networkx.classes.function.is_frozen", "reference/generated/networkx.classes.function.is_negatively_weighted", "reference/generated/networkx.classes.function.is_path", "reference/generated/networkx.classes.function.is_weighted", "reference/generated/networkx.classes.function.neighbors", "reference/generated/networkx.classes.function.nodes", "reference/generated/networkx.classes.function.nodes_with_selfloops", "reference/generated/networkx.classes.function.non_edges", "reference/generated/networkx.classes.function.non_neighbors", "reference/generated/networkx.classes.function.number_of_edges", "reference/generated/networkx.classes.function.number_of_nodes", "reference/generated/networkx.classes.function.number_of_selfloops", "reference/generated/networkx.classes.function.path_weight", "reference/generated/networkx.classes.function.restricted_view", "reference/generated/networkx.classes.function.reverse_view", "reference/generated/networkx.classes.function.selfloop_edges", "reference/generated/networkx.classes.function.set_edge_attributes", "reference/generated/networkx.classes.function.set_node_attributes", "reference/generated/networkx.classes.function.subgraph", "reference/generated/networkx.classes.function.subgraph_view", "reference/generated/networkx.classes.function.to_directed", "reference/generated/networkx.classes.function.to_undirected", "reference/generated/networkx.convert.from_dict_of_dicts", "reference/generated/networkx.convert.from_dict_of_lists", "reference/generated/networkx.convert.from_edgelist", "reference/generated/networkx.convert.to_dict_of_dicts", "reference/generated/networkx.convert.to_dict_of_lists", "reference/generated/networkx.convert.to_edgelist", "reference/generated/networkx.convert.to_networkx_graph", "reference/generated/networkx.convert_matrix.from_numpy_array", "reference/generated/networkx.convert_matrix.from_pandas_adjacency", "reference/generated/networkx.convert_matrix.from_pandas_edgelist", "reference/generated/networkx.convert_matrix.from_scipy_sparse_array", "reference/generated/networkx.convert_matrix.to_numpy_array", "reference/generated/networkx.convert_matrix.to_pandas_adjacency", "reference/generated/networkx.convert_matrix.to_pandas_edgelist", "reference/generated/networkx.convert_matrix.to_scipy_sparse_array", "reference/generated/networkx.drawing.layout.bipartite_layout", "reference/generated/networkx.drawing.layout.circular_layout", "reference/generated/networkx.drawing.layout.kamada_kawai_layout", "reference/generated/networkx.drawing.layout.multipartite_layout", "reference/generated/networkx.drawing.layout.planar_layout", "reference/generated/networkx.drawing.layout.random_layout", "reference/generated/networkx.drawing.layout.rescale_layout", "reference/generated/networkx.drawing.layout.rescale_layout_dict", "reference/generated/networkx.drawing.layout.shell_layout", "reference/generated/networkx.drawing.layout.spectral_layout", "reference/generated/networkx.drawing.layout.spiral_layout", "reference/generated/networkx.drawing.layout.spring_layout", "reference/generated/networkx.drawing.nx_agraph.from_agraph", "reference/generated/networkx.drawing.nx_agraph.graphviz_layout", "reference/generated/networkx.drawing.nx_agraph.pygraphviz_layout", "reference/generated/networkx.drawing.nx_agraph.read_dot", "reference/generated/networkx.drawing.nx_agraph.to_agraph", "reference/generated/networkx.drawing.nx_agraph.write_dot", "reference/generated/networkx.drawing.nx_latex.to_latex", "reference/generated/networkx.drawing.nx_latex.to_latex_raw", "reference/generated/networkx.drawing.nx_latex.write_latex", "reference/generated/networkx.drawing.nx_pydot.from_pydot", "reference/generated/networkx.drawing.nx_pydot.graphviz_layout", "reference/generated/networkx.drawing.nx_pydot.pydot_layout", "reference/generated/networkx.drawing.nx_pydot.read_dot", "reference/generated/networkx.drawing.nx_pydot.to_pydot", "reference/generated/networkx.drawing.nx_pydot.write_dot", "reference/generated/networkx.drawing.nx_pylab.draw", "reference/generated/networkx.drawing.nx_pylab.draw_circular", "reference/generated/networkx.drawing.nx_pylab.draw_kamada_kawai", "reference/generated/networkx.drawing.nx_pylab.draw_networkx", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edge_labels", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edges", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_labels", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_nodes", "reference/generated/networkx.drawing.nx_pylab.draw_planar", "reference/generated/networkx.drawing.nx_pylab.draw_random", "reference/generated/networkx.drawing.nx_pylab.draw_shell", "reference/generated/networkx.drawing.nx_pylab.draw_spectral", "reference/generated/networkx.drawing.nx_pylab.draw_spring", "reference/generated/networkx.generators.atlas.graph_atlas", "reference/generated/networkx.generators.atlas.graph_atlas_g", "reference/generated/networkx.generators.classic.balanced_tree", "reference/generated/networkx.generators.classic.barbell_graph", "reference/generated/networkx.generators.classic.binomial_tree", "reference/generated/networkx.generators.classic.circulant_graph", "reference/generated/networkx.generators.classic.circular_ladder_graph", "reference/generated/networkx.generators.classic.complete_graph", "reference/generated/networkx.generators.classic.complete_multipartite_graph", "reference/generated/networkx.generators.classic.cycle_graph", "reference/generated/networkx.generators.classic.dorogovtsev_goltsev_mendes_graph", "reference/generated/networkx.generators.classic.empty_graph", "reference/generated/networkx.generators.classic.full_rary_tree", "reference/generated/networkx.generators.classic.ladder_graph", "reference/generated/networkx.generators.classic.lollipop_graph", "reference/generated/networkx.generators.classic.null_graph", "reference/generated/networkx.generators.classic.path_graph", "reference/generated/networkx.generators.classic.star_graph", "reference/generated/networkx.generators.classic.trivial_graph", "reference/generated/networkx.generators.classic.turan_graph", "reference/generated/networkx.generators.classic.wheel_graph", "reference/generated/networkx.generators.cographs.random_cograph", "reference/generated/networkx.generators.community.LFR_benchmark_graph", "reference/generated/networkx.generators.community.caveman_graph", "reference/generated/networkx.generators.community.connected_caveman_graph", "reference/generated/networkx.generators.community.gaussian_random_partition_graph", "reference/generated/networkx.generators.community.planted_partition_graph", "reference/generated/networkx.generators.community.random_partition_graph", "reference/generated/networkx.generators.community.relaxed_caveman_graph", "reference/generated/networkx.generators.community.ring_of_cliques", "reference/generated/networkx.generators.community.stochastic_block_model", "reference/generated/networkx.generators.community.windmill_graph", "reference/generated/networkx.generators.degree_seq.configuration_model", "reference/generated/networkx.generators.degree_seq.degree_sequence_tree", "reference/generated/networkx.generators.degree_seq.directed_configuration_model", "reference/generated/networkx.generators.degree_seq.directed_havel_hakimi_graph", "reference/generated/networkx.generators.degree_seq.expected_degree_graph", "reference/generated/networkx.generators.degree_seq.havel_hakimi_graph", "reference/generated/networkx.generators.degree_seq.random_degree_sequence_graph", "reference/generated/networkx.generators.directed.gn_graph", "reference/generated/networkx.generators.directed.gnc_graph", "reference/generated/networkx.generators.directed.gnr_graph", "reference/generated/networkx.generators.directed.random_k_out_graph", "reference/generated/networkx.generators.directed.scale_free_graph", "reference/generated/networkx.generators.duplication.duplication_divergence_graph", "reference/generated/networkx.generators.duplication.partial_duplication_graph", "reference/generated/networkx.generators.ego.ego_graph", "reference/generated/networkx.generators.expanders.chordal_cycle_graph", "reference/generated/networkx.generators.expanders.margulis_gabber_galil_graph", "reference/generated/networkx.generators.expanders.paley_graph", "reference/generated/networkx.generators.geometric.geographical_threshold_graph", "reference/generated/networkx.generators.geometric.geometric_edges", "reference/generated/networkx.generators.geometric.navigable_small_world_graph", "reference/generated/networkx.generators.geometric.random_geometric_graph", "reference/generated/networkx.generators.geometric.soft_random_geometric_graph", "reference/generated/networkx.generators.geometric.thresholded_random_geometric_graph", "reference/generated/networkx.generators.geometric.waxman_graph", "reference/generated/networkx.generators.harary_graph.hkn_harary_graph", "reference/generated/networkx.generators.harary_graph.hnm_harary_graph", "reference/generated/networkx.generators.internet_as_graphs.random_internet_as_graph", "reference/generated/networkx.generators.intersection.general_random_intersection_graph", "reference/generated/networkx.generators.intersection.k_random_intersection_graph", "reference/generated/networkx.generators.intersection.uniform_random_intersection_graph", "reference/generated/networkx.generators.interval_graph.interval_graph", "reference/generated/networkx.generators.joint_degree_seq.directed_joint_degree_graph", "reference/generated/networkx.generators.joint_degree_seq.is_valid_directed_joint_degree", "reference/generated/networkx.generators.joint_degree_seq.is_valid_joint_degree", "reference/generated/networkx.generators.joint_degree_seq.joint_degree_graph", "reference/generated/networkx.generators.lattice.grid_2d_graph", "reference/generated/networkx.generators.lattice.grid_graph", "reference/generated/networkx.generators.lattice.hexagonal_lattice_graph", "reference/generated/networkx.generators.lattice.hypercube_graph", "reference/generated/networkx.generators.lattice.triangular_lattice_graph", "reference/generated/networkx.generators.line.inverse_line_graph", "reference/generated/networkx.generators.line.line_graph", "reference/generated/networkx.generators.mycielski.mycielski_graph", "reference/generated/networkx.generators.mycielski.mycielskian", "reference/generated/networkx.generators.nonisomorphic_trees.nonisomorphic_trees", "reference/generated/networkx.generators.nonisomorphic_trees.number_of_nonisomorphic_trees", "reference/generated/networkx.generators.random_clustered.random_clustered_graph", "reference/generated/networkx.generators.random_graphs.barabasi_albert_graph", "reference/generated/networkx.generators.random_graphs.binomial_graph", "reference/generated/networkx.generators.random_graphs.connected_watts_strogatz_graph", "reference/generated/networkx.generators.random_graphs.dense_gnm_random_graph", "reference/generated/networkx.generators.random_graphs.dual_barabasi_albert_graph", "reference/generated/networkx.generators.random_graphs.erdos_renyi_graph", "reference/generated/networkx.generators.random_graphs.extended_barabasi_albert_graph", "reference/generated/networkx.generators.random_graphs.fast_gnp_random_graph", "reference/generated/networkx.generators.random_graphs.gnm_random_graph", "reference/generated/networkx.generators.random_graphs.gnp_random_graph", "reference/generated/networkx.generators.random_graphs.newman_watts_strogatz_graph", "reference/generated/networkx.generators.random_graphs.powerlaw_cluster_graph", "reference/generated/networkx.generators.random_graphs.random_kernel_graph", "reference/generated/networkx.generators.random_graphs.random_lobster", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree_sequence", "reference/generated/networkx.generators.random_graphs.random_regular_graph", "reference/generated/networkx.generators.random_graphs.random_shell_graph", "reference/generated/networkx.generators.random_graphs.watts_strogatz_graph", "reference/generated/networkx.generators.small.LCF_graph", "reference/generated/networkx.generators.small.bull_graph", "reference/generated/networkx.generators.small.chvatal_graph", "reference/generated/networkx.generators.small.cubical_graph", "reference/generated/networkx.generators.small.desargues_graph", "reference/generated/networkx.generators.small.diamond_graph", "reference/generated/networkx.generators.small.dodecahedral_graph", "reference/generated/networkx.generators.small.frucht_graph", "reference/generated/networkx.generators.small.heawood_graph", "reference/generated/networkx.generators.small.hoffman_singleton_graph", "reference/generated/networkx.generators.small.house_graph", "reference/generated/networkx.generators.small.house_x_graph", "reference/generated/networkx.generators.small.icosahedral_graph", "reference/generated/networkx.generators.small.krackhardt_kite_graph", "reference/generated/networkx.generators.small.moebius_kantor_graph", "reference/generated/networkx.generators.small.octahedral_graph", "reference/generated/networkx.generators.small.pappus_graph", "reference/generated/networkx.generators.small.petersen_graph", "reference/generated/networkx.generators.small.sedgewick_maze_graph", "reference/generated/networkx.generators.small.tetrahedral_graph", "reference/generated/networkx.generators.small.truncated_cube_graph", "reference/generated/networkx.generators.small.truncated_tetrahedron_graph", "reference/generated/networkx.generators.small.tutte_graph", "reference/generated/networkx.generators.social.davis_southern_women_graph", "reference/generated/networkx.generators.social.florentine_families_graph", "reference/generated/networkx.generators.social.karate_club_graph", "reference/generated/networkx.generators.social.les_miserables_graph", "reference/generated/networkx.generators.spectral_graph_forge.spectral_graph_forge", "reference/generated/networkx.generators.stochastic.stochastic_graph", "reference/generated/networkx.generators.sudoku.sudoku_graph", "reference/generated/networkx.generators.trees.prefix_tree", "reference/generated/networkx.generators.trees.random_tree", "reference/generated/networkx.generators.triads.triad_graph", "reference/generated/networkx.linalg.algebraicconnectivity.algebraic_connectivity", "reference/generated/networkx.linalg.algebraicconnectivity.fiedler_vector", "reference/generated/networkx.linalg.algebraicconnectivity.spectral_ordering", "reference/generated/networkx.linalg.attrmatrix.attr_matrix", "reference/generated/networkx.linalg.attrmatrix.attr_sparse_matrix", "reference/generated/networkx.linalg.bethehessianmatrix.bethe_hessian_matrix", "reference/generated/networkx.linalg.graphmatrix.adjacency_matrix", "reference/generated/networkx.linalg.graphmatrix.incidence_matrix", "reference/generated/networkx.linalg.laplacianmatrix.directed_combinatorial_laplacian_matrix", "reference/generated/networkx.linalg.laplacianmatrix.directed_laplacian_matrix", "reference/generated/networkx.linalg.laplacianmatrix.laplacian_matrix", "reference/generated/networkx.linalg.laplacianmatrix.normalized_laplacian_matrix", "reference/generated/networkx.linalg.modularitymatrix.directed_modularity_matrix", "reference/generated/networkx.linalg.modularitymatrix.modularity_matrix", "reference/generated/networkx.linalg.spectrum.adjacency_spectrum", "reference/generated/networkx.linalg.spectrum.bethe_hessian_spectrum", "reference/generated/networkx.linalg.spectrum.laplacian_spectrum", "reference/generated/networkx.linalg.spectrum.modularity_spectrum", "reference/generated/networkx.linalg.spectrum.normalized_laplacian_spectrum", "reference/generated/networkx.relabel.convert_node_labels_to_integers", "reference/generated/networkx.relabel.relabel_nodes", "reference/generated/networkx.utils.decorators.argmap", "reference/generated/networkx.utils.decorators.nodes_or_number", "reference/generated/networkx.utils.decorators.not_implemented_for", "reference/generated/networkx.utils.decorators.np_random_state", "reference/generated/networkx.utils.decorators.open_file", "reference/generated/networkx.utils.decorators.py_random_state", "reference/generated/networkx.utils.mapped_queue.MappedQueue", "reference/generated/networkx.utils.misc.arbitrary_element", "reference/generated/networkx.utils.misc.create_py_random_state", "reference/generated/networkx.utils.misc.create_random_state", "reference/generated/networkx.utils.misc.dict_to_numpy_array", "reference/generated/networkx.utils.misc.edges_equal", "reference/generated/networkx.utils.misc.flatten", "reference/generated/networkx.utils.misc.graphs_equal", "reference/generated/networkx.utils.misc.groups", "reference/generated/networkx.utils.misc.make_list_of_ints", "reference/generated/networkx.utils.misc.nodes_equal", "reference/generated/networkx.utils.misc.pairwise", "reference/generated/networkx.utils.random_sequence.cumulative_distribution", "reference/generated/networkx.utils.random_sequence.discrete_sequence", "reference/generated/networkx.utils.random_sequence.powerlaw_sequence", "reference/generated/networkx.utils.random_sequence.random_weighted_sample", "reference/generated/networkx.utils.random_sequence.weighted_choice", "reference/generated/networkx.utils.random_sequence.zipf_rv", "reference/generated/networkx.utils.rcm.cuthill_mckee_ordering", "reference/generated/networkx.utils.rcm.reverse_cuthill_mckee_ordering", "reference/generated/networkx.utils.union_find.UnionFind.union", "reference/generators", "reference/glossary", "reference/index", "reference/introduction", "reference/linalg", "reference/randomness", "reference/readwrite/adjlist", "reference/readwrite/edgelist", "reference/readwrite/generated/networkx.readwrite.adjlist.generate_adjlist", "reference/readwrite/generated/networkx.readwrite.adjlist.parse_adjlist", "reference/readwrite/generated/networkx.readwrite.adjlist.read_adjlist", "reference/readwrite/generated/networkx.readwrite.adjlist.write_adjlist", "reference/readwrite/generated/networkx.readwrite.edgelist.generate_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.parse_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.read_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.read_weighted_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.write_edgelist", "reference/readwrite/generated/networkx.readwrite.edgelist.write_weighted_edgelist", "reference/readwrite/generated/networkx.readwrite.gexf.generate_gexf", "reference/readwrite/generated/networkx.readwrite.gexf.read_gexf", "reference/readwrite/generated/networkx.readwrite.gexf.relabel_gexf_graph", "reference/readwrite/generated/networkx.readwrite.gexf.write_gexf", "reference/readwrite/generated/networkx.readwrite.gml.generate_gml", "reference/readwrite/generated/networkx.readwrite.gml.literal_destringizer", "reference/readwrite/generated/networkx.readwrite.gml.literal_stringizer", "reference/readwrite/generated/networkx.readwrite.gml.parse_gml", "reference/readwrite/generated/networkx.readwrite.gml.read_gml", "reference/readwrite/generated/networkx.readwrite.gml.write_gml", "reference/readwrite/generated/networkx.readwrite.graph6.from_graph6_bytes", "reference/readwrite/generated/networkx.readwrite.graph6.read_graph6", "reference/readwrite/generated/networkx.readwrite.graph6.to_graph6_bytes", "reference/readwrite/generated/networkx.readwrite.graph6.write_graph6", "reference/readwrite/generated/networkx.readwrite.graphml.generate_graphml", "reference/readwrite/generated/networkx.readwrite.graphml.parse_graphml", "reference/readwrite/generated/networkx.readwrite.graphml.read_graphml", "reference/readwrite/generated/networkx.readwrite.graphml.write_graphml", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_data", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_graph", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_data", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_graph", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_data", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_graph", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_data", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_graph", "reference/readwrite/generated/networkx.readwrite.leda.parse_leda", "reference/readwrite/generated/networkx.readwrite.leda.read_leda", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.generate_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.parse_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.read_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.write_multiline_adjlist", "reference/readwrite/generated/networkx.readwrite.pajek.generate_pajek", "reference/readwrite/generated/networkx.readwrite.pajek.parse_pajek", "reference/readwrite/generated/networkx.readwrite.pajek.read_pajek", "reference/readwrite/generated/networkx.readwrite.pajek.write_pajek", "reference/readwrite/generated/networkx.readwrite.sparse6.from_sparse6_bytes", "reference/readwrite/generated/networkx.readwrite.sparse6.read_sparse6", "reference/readwrite/generated/networkx.readwrite.sparse6.to_sparse6_bytes", "reference/readwrite/generated/networkx.readwrite.sparse6.write_sparse6", "reference/readwrite/generated/networkx.readwrite.text.generate_network_text", "reference/readwrite/generated/networkx.readwrite.text.write_network_text", "reference/readwrite/gexf", "reference/readwrite/gml", "reference/readwrite/graphml", "reference/readwrite/index", "reference/readwrite/json_graph", "reference/readwrite/leda", "reference/readwrite/matrix_market", "reference/readwrite/multiline_adjlist", "reference/readwrite/pajek", "reference/readwrite/sparsegraph6", "reference/readwrite/text", "reference/relabel", "reference/utils", "release/api_0.99", "release/api_1.0", "release/api_1.10", "release/api_1.11", "release/api_1.4", "release/api_1.5", "release/api_1.6", "release/api_1.7", "release/api_1.8", "release/api_1.9", "release/index", "release/migration_guide_from_1.x_to_2.0", "release/migration_guide_from_2.x_to_3.0", "release/old_release_log", "release/release_2.0", "release/release_2.1", "release/release_2.2", "release/release_2.3", "release/release_2.4", "release/release_2.5", "release/release_2.6", "release/release_2.7", "release/release_2.7.1", "release/release_2.8", "release/release_2.8.1", "release/release_2.8.2", "release/release_2.8.3", "release/release_2.8.4", "release/release_2.8.5", "release/release_2.8.6", "release/release_2.8.7", "release/release_2.8.8", "release/release_3.0", "release/release_dev", "tutorial"], "filenames": ["auto_examples/3d_drawing/index.rst", "auto_examples/3d_drawing/mayavi2_spring.rst", "auto_examples/3d_drawing/plot_basic.rst", "auto_examples/3d_drawing/sg_execution_times.rst", "auto_examples/algorithms/index.rst", "auto_examples/algorithms/plot_beam_search.rst", "auto_examples/algorithms/plot_betweenness_centrality.rst", "auto_examples/algorithms/plot_blockmodel.rst", "auto_examples/algorithms/plot_circuits.rst", "auto_examples/algorithms/plot_davis_club.rst", "auto_examples/algorithms/plot_dedensification.rst", "auto_examples/algorithms/plot_iterated_dynamical_systems.rst", "auto_examples/algorithms/plot_krackhardt_centrality.rst", "auto_examples/algorithms/plot_maximum_independent_set.rst", "auto_examples/algorithms/plot_parallel_betweenness.rst", "auto_examples/algorithms/plot_rcm.rst", "auto_examples/algorithms/plot_snap.rst", "auto_examples/algorithms/plot_subgraphs.rst", "auto_examples/algorithms/sg_execution_times.rst", "auto_examples/basic/index.rst", "auto_examples/basic/plot_properties.rst", "auto_examples/basic/plot_read_write.rst", "auto_examples/basic/plot_simple_graph.rst", "auto_examples/basic/sg_execution_times.rst", "auto_examples/drawing/index.rst", "auto_examples/drawing/plot_center_node.rst", "auto_examples/drawing/plot_chess_masters.rst", "auto_examples/drawing/plot_custom_node_icons.rst", "auto_examples/drawing/plot_degree.rst", "auto_examples/drawing/plot_directed.rst", "auto_examples/drawing/plot_edge_colormap.rst", "auto_examples/drawing/plot_ego_graph.rst", "auto_examples/drawing/plot_eigenvalues.rst", "auto_examples/drawing/plot_four_grids.rst", "auto_examples/drawing/plot_house_with_colors.rst", "auto_examples/drawing/plot_knuth_miles.rst", "auto_examples/drawing/plot_labels_and_colors.rst", "auto_examples/drawing/plot_multipartite_graph.rst", "auto_examples/drawing/plot_node_colormap.rst", "auto_examples/drawing/plot_rainbow_coloring.rst", "auto_examples/drawing/plot_random_geometric_graph.rst", "auto_examples/drawing/plot_sampson.rst", "auto_examples/drawing/plot_selfloops.rst", "auto_examples/drawing/plot_simple_path.rst", "auto_examples/drawing/plot_spectral_grid.rst", "auto_examples/drawing/plot_tsp.rst", "auto_examples/drawing/plot_unix_email.rst", "auto_examples/drawing/plot_weighted_graph.rst", "auto_examples/drawing/sg_execution_times.rst", "auto_examples/external/index.rst", "auto_examples/external/javascript_force.rst", "auto_examples/external/plot_igraph.rst", "auto_examples/external/sg_execution_times.rst", "auto_examples/geospatial/extended_description.rst", "auto_examples/geospatial/index.rst", "auto_examples/geospatial/plot_delaunay.rst", "auto_examples/geospatial/plot_lines.rst", "auto_examples/geospatial/plot_osmnx.rst", "auto_examples/geospatial/plot_points.rst", "auto_examples/geospatial/plot_polygons.rst", "auto_examples/geospatial/sg_execution_times.rst", "auto_examples/graph/index.rst", "auto_examples/graph/plot_dag_layout.rst", "auto_examples/graph/plot_degree_sequence.rst", "auto_examples/graph/plot_erdos_renyi.rst", "auto_examples/graph/plot_expected_degree_sequence.rst", "auto_examples/graph/plot_football.rst", "auto_examples/graph/plot_karate_club.rst", "auto_examples/graph/plot_morse_trie.rst", "auto_examples/graph/plot_napoleon_russian_campaign.rst", "auto_examples/graph/plot_roget.rst", "auto_examples/graph/plot_triad_types.rst", "auto_examples/graph/plot_words.rst", "auto_examples/graph/sg_execution_times.rst", "auto_examples/graphviz_drawing/index.rst", "auto_examples/graphviz_drawing/plot_attributes.rst", "auto_examples/graphviz_drawing/plot_conversion.rst", "auto_examples/graphviz_drawing/plot_grid.rst", "auto_examples/graphviz_drawing/plot_mini_atlas.rst", "auto_examples/graphviz_drawing/sg_execution_times.rst", "auto_examples/graphviz_layout/index.rst", "auto_examples/graphviz_layout/plot_atlas.rst", "auto_examples/graphviz_layout/plot_circular_tree.rst", "auto_examples/graphviz_layout/plot_decomposition.rst", "auto_examples/graphviz_layout/plot_giant_component.rst", "auto_examples/graphviz_layout/plot_lanl_routes.rst", "auto_examples/graphviz_layout/sg_execution_times.rst", "auto_examples/index.rst", "auto_examples/subclass/index.rst", "auto_examples/subclass/plot_antigraph.rst", "auto_examples/subclass/plot_printgraph.rst", "auto_examples/subclass/sg_execution_times.rst", "developer/about_us.rst", "developer/code_of_conduct.rst", "developer/contribute.rst", "developer/core_developer.rst", "developer/deprecations.rst", "developer/index.rst", "developer/new_contributor_faq.rst", "developer/nxeps/index.rst", "developer/nxeps/nxep-0000.rst", "developer/nxeps/nxep-0001.rst", "developer/nxeps/nxep-0002.rst", "developer/nxeps/nxep-0003.rst", "developer/nxeps/nxep-0004.rst", "developer/nxeps/nxep-template.rst", "developer/projects.rst", "developer/release.rst", "developer/roadmap.rst", "developer/team.rst", "developer/values.rst", "index.rst", "install.rst", "reference/algorithms/approximation.rst", "reference/algorithms/assortativity.rst", "reference/algorithms/asteroidal.rst", "reference/algorithms/bipartite.rst", "reference/algorithms/boundary.rst", "reference/algorithms/bridges.rst", "reference/algorithms/centrality.rst", "reference/algorithms/chains.rst", "reference/algorithms/chordal.rst", "reference/algorithms/clique.rst", "reference/algorithms/clustering.rst", "reference/algorithms/coloring.rst", "reference/algorithms/communicability_alg.rst", "reference/algorithms/community.rst", "reference/algorithms/component.rst", "reference/algorithms/connectivity.rst", "reference/algorithms/core.rst", "reference/algorithms/covering.rst", "reference/algorithms/cuts.rst", "reference/algorithms/cycles.rst", "reference/algorithms/d_separation.rst", "reference/algorithms/dag.rst", "reference/algorithms/distance_measures.rst", "reference/algorithms/distance_regular.rst", "reference/algorithms/dominance.rst", "reference/algorithms/dominating.rst", "reference/algorithms/efficiency_measures.rst", "reference/algorithms/euler.rst", "reference/algorithms/flow.rst", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.construct.rst", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_components.rst", "reference/algorithms/generated/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_subgraphs.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.analyze_symmetry.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.find_isomorphisms.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.is_isomorphic.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.isomorphisms_iter.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.largest_common_subgraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_is_isomorphic.rst", "reference/algorithms/generated/generated/networkx.algorithms.isomorphism.ISMAGS.subgraph_isomorphisms_iter.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_edges_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_ccw.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_cw.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_first.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_node.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_nodes_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.add_weighted_edges_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adj.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.adjacency.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.check_structure.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.clear_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.connect_components.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.copy.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.degree.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edge_subgraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_data.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.get_edge_data.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_node.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_predecessor.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.has_successor.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_degree.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.in_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_directed.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.is_multigraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.name.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nbunch_iter.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.neighbors_cw_order.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.next_face_half_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.nodes.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.number_of_nodes.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.order.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_degree.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.out_edges.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.pred.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.predecessors.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edge.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_edges_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_node.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.remove_nodes_from.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.reverse.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.set_data.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.size.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.subgraph.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.succ.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.successors.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_directed_class.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.to_undirected_class.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.traverse_face.rst", "reference/algorithms/generated/generated/networkx.algorithms.planarity.PlanarEmbedding.update.rst", "reference/algorithms/generated/generated/networkx.algorithms.tree.branchings.Edmonds.find_optimum.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.clique_removal.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.large_clique_size.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.max_clique.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clique.maximum_independent_set.rst", "reference/algorithms/generated/networkx.algorithms.approximation.clustering_coefficient.average_clustering.rst", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.all_pairs_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.local_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.approximation.connectivity.node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.approximation.distance_measures.diameter.rst", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_edge_dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.approximation.dominating_set.min_weighted_dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.approximation.kcomponents.k_components.rst", "reference/algorithms/generated/networkx.algorithms.approximation.matching.min_maximal_matching.rst", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.one_exchange.rst", "reference/algorithms/generated/networkx.algorithms.approximation.maxcut.randomized_partitioning.rst", "reference/algorithms/generated/networkx.algorithms.approximation.ramsey.ramsey_R2.rst", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.metric_closure.rst", "reference/algorithms/generated/networkx.algorithms.approximation.steinertree.steiner_tree.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.asadpour_atsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.christofides.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.greedy_tsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.simulated_annealing_tsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.threshold_accepting_tsp.rst", "reference/algorithms/generated/networkx.algorithms.approximation.traveling_salesman.traveling_salesman_problem.rst", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_degree.rst", "reference/algorithms/generated/networkx.algorithms.approximation.treewidth.treewidth_min_fill_in.rst", "reference/algorithms/generated/networkx.algorithms.approximation.vertex_cover.min_weighted_vertex_cover.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_assortativity_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_dict.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.attribute_mixing_matrix.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.average_degree_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.average_neighbor_degree.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_assortativity_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_dict.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_mixing_matrix.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.degree_pearson_correlation_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.mixing_dict.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.node_attribute_xy.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.node_degree_xy.rst", "reference/algorithms/generated/networkx.algorithms.assortativity.numeric_assortativity_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.asteroidal.find_asteroidal_triple.rst", "reference/algorithms/generated/networkx.algorithms.asteroidal.is_at_free.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.color.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.degrees.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.density.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.is_bipartite_node_set.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.basic.sets.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.centrality.degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.average_clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.latapy_clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.cluster.robins_alexander_clustering.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.covering.min_edge_cover.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.generate_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.parse_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.read_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.edgelist.write_edgelist.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.alternating_havel_hakimi_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.complete_bipartite_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.configuration_model.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.gnmk_random_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.havel_hakimi_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.preferential_attachment_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.random_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.generators.reverse_havel_hakimi_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.eppstein_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.hopcroft_karp_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.maximum_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.minimum_weight_full_matching.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matching.to_vertex_cover.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.biadjacency_matrix.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.matrix.from_biadjacency_matrix.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.collaboration_weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.generic_weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.overlap_weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.projection.weighted_projected_graph.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.redundancy.node_redundancy.rst", "reference/algorithms/generated/networkx.algorithms.bipartite.spectral.spectral_bipartivity.rst", "reference/algorithms/generated/networkx.algorithms.boundary.edge_boundary.rst", "reference/algorithms/generated/networkx.algorithms.boundary.node_boundary.rst", "reference/algorithms/generated/networkx.algorithms.bridges.bridges.rst", "reference/algorithms/generated/networkx.algorithms.bridges.has_bridges.rst", "reference/algorithms/generated/networkx.algorithms.bridges.local_bridges.rst", "reference/algorithms/generated/networkx.algorithms.centrality.approximate_current_flow_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.communicability_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.current_flow_closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.dispersion.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_current_flow_betweenness_centrality_subset.rst", "reference/algorithms/generated/networkx.algorithms.centrality.edge_load_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.eigenvector_centrality_numpy.rst", "reference/algorithms/generated/networkx.algorithms.centrality.estrada_index.rst", "reference/algorithms/generated/networkx.algorithms.centrality.global_reaching_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_betweenness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_in_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.group_out_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.harmonic_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.in_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.incremental_closeness_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.information_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.katz_centrality_numpy.rst", "reference/algorithms/generated/networkx.algorithms.centrality.laplacian_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.load_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.local_reaching_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.out_degree_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.percolation_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.prominent_group.rst", "reference/algorithms/generated/networkx.algorithms.centrality.second_order_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality.rst", "reference/algorithms/generated/networkx.algorithms.centrality.subgraph_centrality_exp.rst", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_differences.rst", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_incoherence_parameter.rst", "reference/algorithms/generated/networkx.algorithms.centrality.trophic_levels.rst", "reference/algorithms/generated/networkx.algorithms.centrality.voterank.rst", "reference/algorithms/generated/networkx.algorithms.chains.chain_decomposition.rst", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_cliques.rst", "reference/algorithms/generated/networkx.algorithms.chordal.chordal_graph_treewidth.rst", "reference/algorithms/generated/networkx.algorithms.chordal.complete_to_chordal_graph.rst", "reference/algorithms/generated/networkx.algorithms.chordal.find_induced_nodes.rst", "reference/algorithms/generated/networkx.algorithms.chordal.is_chordal.rst", "reference/algorithms/generated/networkx.algorithms.clique.cliques_containing_node.rst", "reference/algorithms/generated/networkx.algorithms.clique.enumerate_all_cliques.rst", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques.rst", "reference/algorithms/generated/networkx.algorithms.clique.find_cliques_recursive.rst", "reference/algorithms/generated/networkx.algorithms.clique.graph_clique_number.rst", "reference/algorithms/generated/networkx.algorithms.clique.graph_number_of_cliques.rst", "reference/algorithms/generated/networkx.algorithms.clique.make_clique_bipartite.rst", "reference/algorithms/generated/networkx.algorithms.clique.make_max_clique_graph.rst", "reference/algorithms/generated/networkx.algorithms.clique.max_weight_clique.rst", "reference/algorithms/generated/networkx.algorithms.clique.node_clique_number.rst", "reference/algorithms/generated/networkx.algorithms.clique.number_of_cliques.rst", "reference/algorithms/generated/networkx.algorithms.cluster.average_clustering.rst", "reference/algorithms/generated/networkx.algorithms.cluster.clustering.rst", "reference/algorithms/generated/networkx.algorithms.cluster.generalized_degree.rst", "reference/algorithms/generated/networkx.algorithms.cluster.square_clustering.rst", "reference/algorithms/generated/networkx.algorithms.cluster.transitivity.rst", "reference/algorithms/generated/networkx.algorithms.cluster.triangles.rst", "reference/algorithms/generated/networkx.algorithms.coloring.equitable_color.rst", "reference/algorithms/generated/networkx.algorithms.coloring.greedy_color.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_bfs.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_connected_sequential_dfs.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_independent_set.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_largest_first.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_random_sequential.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_saturation_largest_first.rst", "reference/algorithms/generated/networkx.algorithms.coloring.strategy_smallest_last.rst", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability.rst", "reference/algorithms/generated/networkx.algorithms.communicability_alg.communicability_exp.rst", "reference/algorithms/generated/networkx.algorithms.community.asyn_fluid.asyn_fluidc.rst", "reference/algorithms/generated/networkx.algorithms.community.centrality.girvan_newman.rst", "reference/algorithms/generated/networkx.algorithms.community.community_utils.is_partition.rst", "reference/algorithms/generated/networkx.algorithms.community.kclique.k_clique_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.kernighan_lin.kernighan_lin_bisection.rst", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.asyn_lpa_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.label_propagation.label_propagation_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.louvain.louvain_partitions.rst", "reference/algorithms/generated/networkx.algorithms.community.lukes.lukes_partitioning.rst", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.greedy_modularity_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.modularity_max.naive_greedy_modularity_communities.rst", "reference/algorithms/generated/networkx.algorithms.community.quality.modularity.rst", "reference/algorithms/generated/networkx.algorithms.community.quality.partition_quality.rst", "reference/algorithms/generated/networkx.algorithms.components.articulation_points.rst", "reference/algorithms/generated/networkx.algorithms.components.attracting_components.rst", "reference/algorithms/generated/networkx.algorithms.components.biconnected_component_edges.rst", "reference/algorithms/generated/networkx.algorithms.components.biconnected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.condensation.rst", "reference/algorithms/generated/networkx.algorithms.components.connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.is_attracting_component.rst", "reference/algorithms/generated/networkx.algorithms.components.is_biconnected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_connected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_semiconnected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_strongly_connected.rst", "reference/algorithms/generated/networkx.algorithms.components.is_weakly_connected.rst", "reference/algorithms/generated/networkx.algorithms.components.kosaraju_strongly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.node_connected_component.rst", "reference/algorithms/generated/networkx.algorithms.components.number_attracting_components.rst", "reference/algorithms/generated/networkx.algorithms.components.number_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.number_strongly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.number_weakly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.components.strongly_connected_components_recursive.rst", "reference/algorithms/generated/networkx.algorithms.components.weakly_connected_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.all_pairs_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.average_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.edge_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_edge_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.local_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.connectivity.node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_edge_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_node_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_edge_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.cuts.minimum_st_node_cut.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.edge_disjoint_paths.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.disjoint_paths.node_disjoint_paths.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_k_edge_connected.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.is_locally_k_edge_connected.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.bridge_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.kcomponents.k_components.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.kcutsets.all_node_cuts.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.stoerwagner.stoer_wagner.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_edge_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.connectivity.utils.build_auxiliary_node_connectivity.rst", "reference/algorithms/generated/networkx.algorithms.core.core_number.rst", "reference/algorithms/generated/networkx.algorithms.core.k_core.rst", "reference/algorithms/generated/networkx.algorithms.core.k_corona.rst", "reference/algorithms/generated/networkx.algorithms.core.k_crust.rst", "reference/algorithms/generated/networkx.algorithms.core.k_shell.rst", "reference/algorithms/generated/networkx.algorithms.core.k_truss.rst", "reference/algorithms/generated/networkx.algorithms.core.onion_layers.rst", "reference/algorithms/generated/networkx.algorithms.covering.is_edge_cover.rst", "reference/algorithms/generated/networkx.algorithms.covering.min_edge_cover.rst", "reference/algorithms/generated/networkx.algorithms.cuts.boundary_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.conductance.rst", "reference/algorithms/generated/networkx.algorithms.cuts.cut_size.rst", "reference/algorithms/generated/networkx.algorithms.cuts.edge_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.mixing_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.node_expansion.rst", "reference/algorithms/generated/networkx.algorithms.cuts.normalized_cut_size.rst", "reference/algorithms/generated/networkx.algorithms.cuts.volume.rst", "reference/algorithms/generated/networkx.algorithms.cycles.cycle_basis.rst", "reference/algorithms/generated/networkx.algorithms.cycles.find_cycle.rst", "reference/algorithms/generated/networkx.algorithms.cycles.minimum_cycle_basis.rst", "reference/algorithms/generated/networkx.algorithms.cycles.recursive_simple_cycles.rst", "reference/algorithms/generated/networkx.algorithms.cycles.simple_cycles.rst", "reference/algorithms/generated/networkx.algorithms.d_separation.d_separated.rst", "reference/algorithms/generated/networkx.algorithms.dag.all_topological_sorts.rst", "reference/algorithms/generated/networkx.algorithms.dag.ancestors.rst", "reference/algorithms/generated/networkx.algorithms.dag.antichains.rst", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path.rst", "reference/algorithms/generated/networkx.algorithms.dag.dag_longest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.dag.dag_to_branching.rst", "reference/algorithms/generated/networkx.algorithms.dag.descendants.rst", "reference/algorithms/generated/networkx.algorithms.dag.is_aperiodic.rst", "reference/algorithms/generated/networkx.algorithms.dag.is_directed_acyclic_graph.rst", "reference/algorithms/generated/networkx.algorithms.dag.lexicographical_topological_sort.rst", "reference/algorithms/generated/networkx.algorithms.dag.topological_generations.rst", "reference/algorithms/generated/networkx.algorithms.dag.topological_sort.rst", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure.rst", "reference/algorithms/generated/networkx.algorithms.dag.transitive_closure_dag.rst", "reference/algorithms/generated/networkx.algorithms.dag.transitive_reduction.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.barycenter.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.center.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.diameter.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.eccentricity.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.periphery.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.radius.rst", "reference/algorithms/generated/networkx.algorithms.distance_measures.resistance_distance.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.global_parameters.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.intersection_array.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_distance_regular.rst", "reference/algorithms/generated/networkx.algorithms.distance_regular.is_strongly_regular.rst", "reference/algorithms/generated/networkx.algorithms.dominance.dominance_frontiers.rst", "reference/algorithms/generated/networkx.algorithms.dominance.immediate_dominators.rst", "reference/algorithms/generated/networkx.algorithms.dominating.dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.dominating.is_dominating_set.rst", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.efficiency.rst", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.global_efficiency.rst", "reference/algorithms/generated/networkx.algorithms.efficiency_measures.local_efficiency.rst", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_circuit.rst", "reference/algorithms/generated/networkx.algorithms.euler.eulerian_path.rst", "reference/algorithms/generated/networkx.algorithms.euler.eulerize.rst", "reference/algorithms/generated/networkx.algorithms.euler.has_eulerian_path.rst", "reference/algorithms/generated/networkx.algorithms.euler.is_eulerian.rst", "reference/algorithms/generated/networkx.algorithms.euler.is_semieulerian.rst", "reference/algorithms/generated/networkx.algorithms.flow.boykov_kolmogorov.rst", "reference/algorithms/generated/networkx.algorithms.flow.build_residual_network.rst", "reference/algorithms/generated/networkx.algorithms.flow.capacity_scaling.rst", "reference/algorithms/generated/networkx.algorithms.flow.cost_of_flow.rst", "reference/algorithms/generated/networkx.algorithms.flow.dinitz.rst", "reference/algorithms/generated/networkx.algorithms.flow.edmonds_karp.rst", "reference/algorithms/generated/networkx.algorithms.flow.gomory_hu_tree.rst", "reference/algorithms/generated/networkx.algorithms.flow.max_flow_min_cost.rst", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow.rst", "reference/algorithms/generated/networkx.algorithms.flow.maximum_flow_value.rst", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow.rst", "reference/algorithms/generated/networkx.algorithms.flow.min_cost_flow_cost.rst", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut.rst", "reference/algorithms/generated/networkx.algorithms.flow.minimum_cut_value.rst", "reference/algorithms/generated/networkx.algorithms.flow.network_simplex.rst", "reference/algorithms/generated/networkx.algorithms.flow.preflow_push.rst", "reference/algorithms/generated/networkx.algorithms.flow.shortest_augmenting_path.rst", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_graph_hash.rst", "reference/algorithms/generated/networkx.algorithms.graph_hashing.weisfeiler_lehman_subgraph_hashes.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_digraphical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_graphical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_multigraphical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_pseudographical.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_erdos_gallai.rst", "reference/algorithms/generated/networkx.algorithms.graphical.is_valid_degree_sequence_havel_hakimi.rst", "reference/algorithms/generated/networkx.algorithms.hierarchy.flow_hierarchy.rst", "reference/algorithms/generated/networkx.algorithms.hybrid.is_kl_connected.rst", "reference/algorithms/generated/networkx.algorithms.hybrid.kl_connected_subgraph.rst", "reference/algorithms/generated/networkx.algorithms.isolate.is_isolate.rst", "reference/algorithms/generated/networkx.algorithms.isolate.isolates.rst", "reference/algorithms/generated/networkx.algorithms.isolate.number_of_isolates.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.__init__.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.candidate_pairs_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.initialize.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.semantic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.DiGraphMatcher.syntactic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.__init__.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.candidate_pairs_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.initialize.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.semantic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.subgraph_isomorphisms_iter.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.GraphMatcher.syntactic_feasibility.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.ISMAGS.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_edge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_multiedge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.categorical_node_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.could_be_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.fast_could_be_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.faster_could_be_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_edge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_multiedge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.generic_node_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_edge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_multiedge_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.numerical_node_match.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.rooted_tree_isomorphism.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.tree_isomorphism.tree_isomorphism.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_all_isomorphisms.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_is_isomorphic.rst", "reference/algorithms/generated/networkx.algorithms.isomorphism.vf2pp.vf2pp_isomorphism.rst", "reference/algorithms/generated/networkx.algorithms.link_analysis.hits_alg.hits.rst", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.google_matrix.rst", "reference/algorithms/generated/networkx.algorithms.link_analysis.pagerank_alg.pagerank.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.adamic_adar_index.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.cn_soundarajan_hopcroft.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.common_neighbor_centrality.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.jaccard_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.preferential_attachment.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.ra_index_soundarajan_hopcroft.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.resource_allocation_index.rst", "reference/algorithms/generated/networkx.algorithms.link_prediction.within_inter_cluster.rst", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.all_pairs_lowest_common_ancestor.rst", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.lowest_common_ancestor.rst", "reference/algorithms/generated/networkx.algorithms.lowest_common_ancestors.tree_all_pairs_lowest_common_ancestor.rst", "reference/algorithms/generated/networkx.algorithms.matching.is_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.is_maximal_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.is_perfect_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.max_weight_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.maximal_matching.rst", "reference/algorithms/generated/networkx.algorithms.matching.min_weight_matching.rst", "reference/algorithms/generated/networkx.algorithms.minors.contracted_edge.rst", "reference/algorithms/generated/networkx.algorithms.minors.contracted_nodes.rst", "reference/algorithms/generated/networkx.algorithms.minors.equivalence_classes.rst", "reference/algorithms/generated/networkx.algorithms.minors.identified_nodes.rst", "reference/algorithms/generated/networkx.algorithms.minors.quotient_graph.rst", "reference/algorithms/generated/networkx.algorithms.mis.maximal_independent_set.rst", "reference/algorithms/generated/networkx.algorithms.moral.moral_graph.rst", "reference/algorithms/generated/networkx.algorithms.node_classification.harmonic_function.rst", "reference/algorithms/generated/networkx.algorithms.node_classification.local_and_global_consistency.rst", "reference/algorithms/generated/networkx.algorithms.non_randomness.non_randomness.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.compose_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.disjoint_union_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.intersection_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.all.union_all.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.compose.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.difference.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.disjoint_union.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.full_join.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.intersection.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.symmetric_difference.rst", "reference/algorithms/generated/networkx.algorithms.operators.binary.union.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.cartesian_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.corona_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.lexicographic_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.power.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.rooted_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.strong_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.product.tensor_product.rst", "reference/algorithms/generated/networkx.algorithms.operators.unary.complement.rst", "reference/algorithms/generated/networkx.algorithms.operators.unary.reverse.rst", "reference/algorithms/generated/networkx.algorithms.planar_drawing.combinatorial_embedding_to_pos.rst", "reference/algorithms/generated/networkx.algorithms.planarity.PlanarEmbedding.rst", "reference/algorithms/generated/networkx.algorithms.planarity.check_planarity.rst", "reference/algorithms/generated/networkx.algorithms.planarity.is_planar.rst", "reference/algorithms/generated/networkx.algorithms.polynomials.chromatic_polynomial.rst", "reference/algorithms/generated/networkx.algorithms.polynomials.tutte_polynomial.rst", "reference/algorithms/generated/networkx.algorithms.reciprocity.overall_reciprocity.rst", "reference/algorithms/generated/networkx.algorithms.reciprocity.reciprocity.rst", "reference/algorithms/generated/networkx.algorithms.regular.is_k_regular.rst", "reference/algorithms/generated/networkx.algorithms.regular.is_regular.rst", "reference/algorithms/generated/networkx.algorithms.regular.k_factor.rst", "reference/algorithms/generated/networkx.algorithms.richclub.rich_club_coefficient.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.astar.astar_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_numpy.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.floyd_warshall_predecessor_and_distance.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.dense.reconstruct_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.all_shortest_paths.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.average_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.has_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.generic.shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.bidirectional_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.predecessor.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bellman_ford_predecessor_and_distance.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.bidirectional_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.dijkstra_predecessor_and_distance.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.find_negative_cycle.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.goldberg_radzik.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.johnson.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.negative_edge_cycle.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path_length.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path.rst", "reference/algorithms/generated/networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path_length.rst", "reference/algorithms/generated/networkx.algorithms.similarity.generate_random_paths.rst", "reference/algorithms/generated/networkx.algorithms.similarity.graph_edit_distance.rst", "reference/algorithms/generated/networkx.algorithms.similarity.optimal_edit_paths.rst", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_edit_paths.rst", "reference/algorithms/generated/networkx.algorithms.similarity.optimize_graph_edit_distance.rst", "reference/algorithms/generated/networkx.algorithms.similarity.panther_similarity.rst", "reference/algorithms/generated/networkx.algorithms.similarity.simrank_similarity.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_edge_paths.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.all_simple_paths.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.is_simple_path.rst", "reference/algorithms/generated/networkx.algorithms.simple_paths.shortest_simple_paths.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.lattice_reference.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.omega.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.random_reference.rst", "reference/algorithms/generated/networkx.algorithms.smallworld.sigma.rst", "reference/algorithms/generated/networkx.algorithms.smetric.s_metric.rst", "reference/algorithms/generated/networkx.algorithms.sparsifiers.spanner.rst", "reference/algorithms/generated/networkx.algorithms.structuralholes.constraint.rst", "reference/algorithms/generated/networkx.algorithms.structuralholes.effective_size.rst", "reference/algorithms/generated/networkx.algorithms.structuralholes.local_constraint.rst", "reference/algorithms/generated/networkx.algorithms.summarization.dedensify.rst", "reference/algorithms/generated/networkx.algorithms.summarization.snap_aggregation.rst", "reference/algorithms/generated/networkx.algorithms.swap.connected_double_edge_swap.rst", "reference/algorithms/generated/networkx.algorithms.swap.directed_edge_swap.rst", "reference/algorithms/generated/networkx.algorithms.swap.double_edge_swap.rst", "reference/algorithms/generated/networkx.algorithms.threshold.find_threshold_graph.rst", "reference/algorithms/generated/networkx.algorithms.threshold.is_threshold_graph.rst", "reference/algorithms/generated/networkx.algorithms.tournament.hamiltonian_path.rst", "reference/algorithms/generated/networkx.algorithms.tournament.is_reachable.rst", "reference/algorithms/generated/networkx.algorithms.tournament.is_strongly_connected.rst", "reference/algorithms/generated/networkx.algorithms.tournament.is_tournament.rst", "reference/algorithms/generated/networkx.algorithms.tournament.random_tournament.rst", "reference/algorithms/generated/networkx.algorithms.tournament.score_sequence.rst", "reference/algorithms/generated/networkx.algorithms.traversal.beamsearch.bfs_beam_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_layers.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_predecessors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_successors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.bfs_tree.rst", "reference/algorithms/generated/networkx.algorithms.traversal.breadth_first_search.descendants_at_distance.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_labeled_edges.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_postorder_nodes.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_predecessors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_preorder_nodes.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_successors.rst", "reference/algorithms/generated/networkx.algorithms.traversal.depth_first_search.dfs_tree.rst", "reference/algorithms/generated/networkx.algorithms.traversal.edgebfs.edge_bfs.rst", "reference/algorithms/generated/networkx.algorithms.traversal.edgedfs.edge_dfs.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.ArborescenceIterator.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.Edmonds.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.branching_weight.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.greedy_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.maximum_spanning_arborescence.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.branchings.minimum_spanning_arborescence.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.NotATree.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_nested_tuple.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.from_prufer_sequence.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_nested_tuple.rst", "reference/algorithms/generated/networkx.algorithms.tree.coding.to_prufer_sequence.rst", "reference/algorithms/generated/networkx.algorithms.tree.decomposition.junction_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.SpanningTreeIterator.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_edges.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.maximum_spanning_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_edges.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.minimum_spanning_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.mst.random_spanning_tree.rst", "reference/algorithms/generated/networkx.algorithms.tree.operations.join.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_arborescence.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_branching.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_forest.rst", "reference/algorithms/generated/networkx.algorithms.tree.recognition.is_tree.rst", "reference/algorithms/generated/networkx.algorithms.triads.all_triads.rst", "reference/algorithms/generated/networkx.algorithms.triads.all_triplets.rst", "reference/algorithms/generated/networkx.algorithms.triads.is_triad.rst", "reference/algorithms/generated/networkx.algorithms.triads.random_triad.rst", "reference/algorithms/generated/networkx.algorithms.triads.triad_type.rst", "reference/algorithms/generated/networkx.algorithms.triads.triadic_census.rst", "reference/algorithms/generated/networkx.algorithms.triads.triads_by_type.rst", "reference/algorithms/generated/networkx.algorithms.vitality.closeness_vitality.rst", "reference/algorithms/generated/networkx.algorithms.voronoi.voronoi_cells.rst", "reference/algorithms/generated/networkx.algorithms.wiener.wiener_index.rst", "reference/algorithms/graph_hashing.rst", "reference/algorithms/graphical.rst", "reference/algorithms/hierarchy.rst", "reference/algorithms/hybrid.rst", "reference/algorithms/index.rst", "reference/algorithms/isolates.rst", "reference/algorithms/isomorphism.rst", "reference/algorithms/isomorphism.ismags.rst", "reference/algorithms/isomorphism.vf2.rst", "reference/algorithms/link_analysis.rst", "reference/algorithms/link_prediction.rst", "reference/algorithms/lowest_common_ancestors.rst", "reference/algorithms/matching.rst", "reference/algorithms/minors.rst", "reference/algorithms/mis.rst", "reference/algorithms/moral.rst", "reference/algorithms/node_classification.rst", "reference/algorithms/non_randomness.rst", "reference/algorithms/operators.rst", "reference/algorithms/planar_drawing.rst", "reference/algorithms/planarity.rst", "reference/algorithms/polynomials.rst", "reference/algorithms/reciprocity.rst", "reference/algorithms/regular.rst", "reference/algorithms/rich_club.rst", "reference/algorithms/shortest_paths.rst", "reference/algorithms/similarity.rst", "reference/algorithms/simple_paths.rst", "reference/algorithms/smallworld.rst", "reference/algorithms/smetric.rst", "reference/algorithms/sparsifiers.rst", "reference/algorithms/structuralholes.rst", "reference/algorithms/summarization.rst", "reference/algorithms/swap.rst", "reference/algorithms/threshold.rst", "reference/algorithms/tournament.rst", "reference/algorithms/traversal.rst", "reference/algorithms/tree.rst", "reference/algorithms/triads.rst", "reference/algorithms/vitality.rst", "reference/algorithms/voronoi.rst", "reference/algorithms/wiener.rst", "reference/classes/digraph.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AdjacencyView.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.AtlasView.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterAtlas.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.FilterMultiInner.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.MultiAdjacencyView.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionAtlas.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiAdjacency.values.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.copy.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.get.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.items.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.keys.rst", "reference/classes/generated/generated/networkx.classes.coreviews.UnionMultiInner.values.rst", "reference/classes/generated/networkx.DiGraph.__contains__.rst", "reference/classes/generated/networkx.DiGraph.__getitem__.rst", "reference/classes/generated/networkx.DiGraph.__init__.rst", "reference/classes/generated/networkx.DiGraph.__iter__.rst", "reference/classes/generated/networkx.DiGraph.__len__.rst", "reference/classes/generated/networkx.DiGraph.add_edge.rst", "reference/classes/generated/networkx.DiGraph.add_edges_from.rst", "reference/classes/generated/networkx.DiGraph.add_node.rst", "reference/classes/generated/networkx.DiGraph.add_nodes_from.rst", "reference/classes/generated/networkx.DiGraph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.DiGraph.adj.rst", "reference/classes/generated/networkx.DiGraph.adjacency.rst", "reference/classes/generated/networkx.DiGraph.clear.rst", "reference/classes/generated/networkx.DiGraph.clear_edges.rst", "reference/classes/generated/networkx.DiGraph.copy.rst", "reference/classes/generated/networkx.DiGraph.degree.rst", "reference/classes/generated/networkx.DiGraph.edge_subgraph.rst", "reference/classes/generated/networkx.DiGraph.edges.rst", "reference/classes/generated/networkx.DiGraph.get_edge_data.rst", "reference/classes/generated/networkx.DiGraph.has_edge.rst", "reference/classes/generated/networkx.DiGraph.has_node.rst", "reference/classes/generated/networkx.DiGraph.in_degree.rst", "reference/classes/generated/networkx.DiGraph.in_edges.rst", "reference/classes/generated/networkx.DiGraph.nbunch_iter.rst", "reference/classes/generated/networkx.DiGraph.neighbors.rst", "reference/classes/generated/networkx.DiGraph.nodes.rst", "reference/classes/generated/networkx.DiGraph.number_of_edges.rst", "reference/classes/generated/networkx.DiGraph.number_of_nodes.rst", "reference/classes/generated/networkx.DiGraph.order.rst", "reference/classes/generated/networkx.DiGraph.out_degree.rst", "reference/classes/generated/networkx.DiGraph.out_edges.rst", "reference/classes/generated/networkx.DiGraph.pred.rst", "reference/classes/generated/networkx.DiGraph.predecessors.rst", "reference/classes/generated/networkx.DiGraph.remove_edge.rst", "reference/classes/generated/networkx.DiGraph.remove_edges_from.rst", "reference/classes/generated/networkx.DiGraph.remove_node.rst", "reference/classes/generated/networkx.DiGraph.remove_nodes_from.rst", "reference/classes/generated/networkx.DiGraph.reverse.rst", "reference/classes/generated/networkx.DiGraph.size.rst", "reference/classes/generated/networkx.DiGraph.subgraph.rst", "reference/classes/generated/networkx.DiGraph.succ.rst", "reference/classes/generated/networkx.DiGraph.successors.rst", "reference/classes/generated/networkx.DiGraph.to_directed.rst", "reference/classes/generated/networkx.DiGraph.to_undirected.rst", "reference/classes/generated/networkx.DiGraph.update.rst", "reference/classes/generated/networkx.Graph.__contains__.rst", "reference/classes/generated/networkx.Graph.__getitem__.rst", "reference/classes/generated/networkx.Graph.__init__.rst", "reference/classes/generated/networkx.Graph.__iter__.rst", "reference/classes/generated/networkx.Graph.__len__.rst", "reference/classes/generated/networkx.Graph.add_edge.rst", "reference/classes/generated/networkx.Graph.add_edges_from.rst", "reference/classes/generated/networkx.Graph.add_node.rst", "reference/classes/generated/networkx.Graph.add_nodes_from.rst", "reference/classes/generated/networkx.Graph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.Graph.adj.rst", "reference/classes/generated/networkx.Graph.adjacency.rst", "reference/classes/generated/networkx.Graph.clear.rst", "reference/classes/generated/networkx.Graph.clear_edges.rst", "reference/classes/generated/networkx.Graph.copy.rst", "reference/classes/generated/networkx.Graph.degree.rst", "reference/classes/generated/networkx.Graph.edge_subgraph.rst", "reference/classes/generated/networkx.Graph.edges.rst", "reference/classes/generated/networkx.Graph.get_edge_data.rst", "reference/classes/generated/networkx.Graph.has_edge.rst", "reference/classes/generated/networkx.Graph.has_node.rst", "reference/classes/generated/networkx.Graph.nbunch_iter.rst", "reference/classes/generated/networkx.Graph.neighbors.rst", "reference/classes/generated/networkx.Graph.nodes.rst", "reference/classes/generated/networkx.Graph.number_of_edges.rst", "reference/classes/generated/networkx.Graph.number_of_nodes.rst", "reference/classes/generated/networkx.Graph.order.rst", "reference/classes/generated/networkx.Graph.remove_edge.rst", "reference/classes/generated/networkx.Graph.remove_edges_from.rst", "reference/classes/generated/networkx.Graph.remove_node.rst", "reference/classes/generated/networkx.Graph.remove_nodes_from.rst", "reference/classes/generated/networkx.Graph.size.rst", "reference/classes/generated/networkx.Graph.subgraph.rst", "reference/classes/generated/networkx.Graph.to_directed.rst", "reference/classes/generated/networkx.Graph.to_undirected.rst", "reference/classes/generated/networkx.Graph.update.rst", "reference/classes/generated/networkx.MultiDiGraph.__contains__.rst", "reference/classes/generated/networkx.MultiDiGraph.__getitem__.rst", "reference/classes/generated/networkx.MultiDiGraph.__init__.rst", "reference/classes/generated/networkx.MultiDiGraph.__iter__.rst", "reference/classes/generated/networkx.MultiDiGraph.__len__.rst", "reference/classes/generated/networkx.MultiDiGraph.add_edge.rst", "reference/classes/generated/networkx.MultiDiGraph.add_edges_from.rst", "reference/classes/generated/networkx.MultiDiGraph.add_node.rst", "reference/classes/generated/networkx.MultiDiGraph.add_nodes_from.rst", "reference/classes/generated/networkx.MultiDiGraph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.MultiDiGraph.adj.rst", "reference/classes/generated/networkx.MultiDiGraph.adjacency.rst", "reference/classes/generated/networkx.MultiDiGraph.clear.rst", "reference/classes/generated/networkx.MultiDiGraph.clear_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.copy.rst", "reference/classes/generated/networkx.MultiDiGraph.degree.rst", "reference/classes/generated/networkx.MultiDiGraph.edge_subgraph.rst", "reference/classes/generated/networkx.MultiDiGraph.edges.rst", "reference/classes/generated/networkx.MultiDiGraph.get_edge_data.rst", "reference/classes/generated/networkx.MultiDiGraph.has_edge.rst", "reference/classes/generated/networkx.MultiDiGraph.has_node.rst", "reference/classes/generated/networkx.MultiDiGraph.in_degree.rst", "reference/classes/generated/networkx.MultiDiGraph.in_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.nbunch_iter.rst", "reference/classes/generated/networkx.MultiDiGraph.neighbors.rst", "reference/classes/generated/networkx.MultiDiGraph.new_edge_key.rst", "reference/classes/generated/networkx.MultiDiGraph.nodes.rst", "reference/classes/generated/networkx.MultiDiGraph.number_of_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.number_of_nodes.rst", "reference/classes/generated/networkx.MultiDiGraph.order.rst", "reference/classes/generated/networkx.MultiDiGraph.out_degree.rst", "reference/classes/generated/networkx.MultiDiGraph.out_edges.rst", "reference/classes/generated/networkx.MultiDiGraph.pred.rst", "reference/classes/generated/networkx.MultiDiGraph.predecessors.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_edge.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_edges_from.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_node.rst", "reference/classes/generated/networkx.MultiDiGraph.remove_nodes_from.rst", "reference/classes/generated/networkx.MultiDiGraph.reverse.rst", "reference/classes/generated/networkx.MultiDiGraph.size.rst", "reference/classes/generated/networkx.MultiDiGraph.subgraph.rst", "reference/classes/generated/networkx.MultiDiGraph.succ.rst", "reference/classes/generated/networkx.MultiDiGraph.successors.rst", "reference/classes/generated/networkx.MultiDiGraph.to_directed.rst", "reference/classes/generated/networkx.MultiDiGraph.to_undirected.rst", "reference/classes/generated/networkx.MultiDiGraph.update.rst", "reference/classes/generated/networkx.MultiGraph.__contains__.rst", "reference/classes/generated/networkx.MultiGraph.__getitem__.rst", "reference/classes/generated/networkx.MultiGraph.__init__.rst", "reference/classes/generated/networkx.MultiGraph.__iter__.rst", "reference/classes/generated/networkx.MultiGraph.__len__.rst", "reference/classes/generated/networkx.MultiGraph.add_edge.rst", "reference/classes/generated/networkx.MultiGraph.add_edges_from.rst", "reference/classes/generated/networkx.MultiGraph.add_node.rst", "reference/classes/generated/networkx.MultiGraph.add_nodes_from.rst", "reference/classes/generated/networkx.MultiGraph.add_weighted_edges_from.rst", "reference/classes/generated/networkx.MultiGraph.adj.rst", "reference/classes/generated/networkx.MultiGraph.adjacency.rst", "reference/classes/generated/networkx.MultiGraph.clear.rst", "reference/classes/generated/networkx.MultiGraph.clear_edges.rst", "reference/classes/generated/networkx.MultiGraph.copy.rst", "reference/classes/generated/networkx.MultiGraph.degree.rst", "reference/classes/generated/networkx.MultiGraph.edge_subgraph.rst", "reference/classes/generated/networkx.MultiGraph.edges.rst", "reference/classes/generated/networkx.MultiGraph.get_edge_data.rst", "reference/classes/generated/networkx.MultiGraph.has_edge.rst", "reference/classes/generated/networkx.MultiGraph.has_node.rst", "reference/classes/generated/networkx.MultiGraph.nbunch_iter.rst", "reference/classes/generated/networkx.MultiGraph.neighbors.rst", "reference/classes/generated/networkx.MultiGraph.new_edge_key.rst", "reference/classes/generated/networkx.MultiGraph.nodes.rst", "reference/classes/generated/networkx.MultiGraph.number_of_edges.rst", "reference/classes/generated/networkx.MultiGraph.number_of_nodes.rst", "reference/classes/generated/networkx.MultiGraph.order.rst", "reference/classes/generated/networkx.MultiGraph.remove_edge.rst", "reference/classes/generated/networkx.MultiGraph.remove_edges_from.rst", "reference/classes/generated/networkx.MultiGraph.remove_node.rst", "reference/classes/generated/networkx.MultiGraph.remove_nodes_from.rst", "reference/classes/generated/networkx.MultiGraph.size.rst", "reference/classes/generated/networkx.MultiGraph.subgraph.rst", "reference/classes/generated/networkx.MultiGraph.to_directed.rst", "reference/classes/generated/networkx.MultiGraph.to_undirected.rst", "reference/classes/generated/networkx.MultiGraph.update.rst", "reference/classes/generated/networkx.classes.backends._dispatch.rst", "reference/classes/generated/networkx.classes.coreviews.AdjacencyView.rst", "reference/classes/generated/networkx.classes.coreviews.AtlasView.rst", "reference/classes/generated/networkx.classes.coreviews.FilterAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.FilterAtlas.rst", "reference/classes/generated/networkx.classes.coreviews.FilterMultiAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.FilterMultiInner.rst", "reference/classes/generated/networkx.classes.coreviews.MultiAdjacencyView.rst", "reference/classes/generated/networkx.classes.coreviews.UnionAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.UnionAtlas.rst", "reference/classes/generated/networkx.classes.coreviews.UnionMultiAdjacency.rst", "reference/classes/generated/networkx.classes.coreviews.UnionMultiInner.rst", "reference/classes/generated/networkx.classes.filters.hide_diedges.rst", "reference/classes/generated/networkx.classes.filters.hide_edges.rst", "reference/classes/generated/networkx.classes.filters.hide_multidiedges.rst", "reference/classes/generated/networkx.classes.filters.hide_multiedges.rst", "reference/classes/generated/networkx.classes.filters.hide_nodes.rst", "reference/classes/generated/networkx.classes.filters.no_filter.rst", "reference/classes/generated/networkx.classes.filters.show_diedges.rst", "reference/classes/generated/networkx.classes.filters.show_edges.rst", "reference/classes/generated/networkx.classes.filters.show_multidiedges.rst", "reference/classes/generated/networkx.classes.filters.show_multiedges.rst", "reference/classes/generated/networkx.classes.filters.show_nodes.rst", "reference/classes/generated/networkx.classes.graphviews.generic_graph_view.rst", "reference/classes/generated/networkx.classes.graphviews.reverse_view.rst", "reference/classes/generated/networkx.classes.graphviews.subgraph_view.rst", "reference/classes/graph.rst", "reference/classes/index.rst", "reference/classes/multidigraph.rst", "reference/classes/multigraph.rst", "reference/convert.rst", "reference/drawing.rst", "reference/exceptions.rst", "reference/functions.rst", "reference/generated/generated/networkx.utils.decorators.argmap.assemble.rst", "reference/generated/generated/networkx.utils.decorators.argmap.compile.rst", "reference/generated/generated/networkx.utils.decorators.argmap.signature.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.pop.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.push.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.remove.rst", "reference/generated/generated/networkx.utils.mapped_queue.MappedQueue.update.rst", "reference/generated/networkx.classes.function.add_cycle.rst", "reference/generated/networkx.classes.function.add_path.rst", "reference/generated/networkx.classes.function.add_star.rst", "reference/generated/networkx.classes.function.all_neighbors.rst", "reference/generated/networkx.classes.function.common_neighbors.rst", "reference/generated/networkx.classes.function.create_empty_copy.rst", "reference/generated/networkx.classes.function.degree.rst", "reference/generated/networkx.classes.function.degree_histogram.rst", "reference/generated/networkx.classes.function.density.rst", "reference/generated/networkx.classes.function.edge_subgraph.rst", "reference/generated/networkx.classes.function.edges.rst", "reference/generated/networkx.classes.function.freeze.rst", "reference/generated/networkx.classes.function.get_edge_attributes.rst", "reference/generated/networkx.classes.function.get_node_attributes.rst", "reference/generated/networkx.classes.function.induced_subgraph.rst", "reference/generated/networkx.classes.function.is_directed.rst", "reference/generated/networkx.classes.function.is_empty.rst", "reference/generated/networkx.classes.function.is_frozen.rst", "reference/generated/networkx.classes.function.is_negatively_weighted.rst", "reference/generated/networkx.classes.function.is_path.rst", "reference/generated/networkx.classes.function.is_weighted.rst", "reference/generated/networkx.classes.function.neighbors.rst", "reference/generated/networkx.classes.function.nodes.rst", "reference/generated/networkx.classes.function.nodes_with_selfloops.rst", "reference/generated/networkx.classes.function.non_edges.rst", "reference/generated/networkx.classes.function.non_neighbors.rst", "reference/generated/networkx.classes.function.number_of_edges.rst", "reference/generated/networkx.classes.function.number_of_nodes.rst", "reference/generated/networkx.classes.function.number_of_selfloops.rst", "reference/generated/networkx.classes.function.path_weight.rst", "reference/generated/networkx.classes.function.restricted_view.rst", "reference/generated/networkx.classes.function.reverse_view.rst", "reference/generated/networkx.classes.function.selfloop_edges.rst", "reference/generated/networkx.classes.function.set_edge_attributes.rst", "reference/generated/networkx.classes.function.set_node_attributes.rst", "reference/generated/networkx.classes.function.subgraph.rst", "reference/generated/networkx.classes.function.subgraph_view.rst", "reference/generated/networkx.classes.function.to_directed.rst", "reference/generated/networkx.classes.function.to_undirected.rst", "reference/generated/networkx.convert.from_dict_of_dicts.rst", "reference/generated/networkx.convert.from_dict_of_lists.rst", "reference/generated/networkx.convert.from_edgelist.rst", "reference/generated/networkx.convert.to_dict_of_dicts.rst", "reference/generated/networkx.convert.to_dict_of_lists.rst", "reference/generated/networkx.convert.to_edgelist.rst", "reference/generated/networkx.convert.to_networkx_graph.rst", "reference/generated/networkx.convert_matrix.from_numpy_array.rst", "reference/generated/networkx.convert_matrix.from_pandas_adjacency.rst", "reference/generated/networkx.convert_matrix.from_pandas_edgelist.rst", "reference/generated/networkx.convert_matrix.from_scipy_sparse_array.rst", "reference/generated/networkx.convert_matrix.to_numpy_array.rst", "reference/generated/networkx.convert_matrix.to_pandas_adjacency.rst", "reference/generated/networkx.convert_matrix.to_pandas_edgelist.rst", "reference/generated/networkx.convert_matrix.to_scipy_sparse_array.rst", "reference/generated/networkx.drawing.layout.bipartite_layout.rst", "reference/generated/networkx.drawing.layout.circular_layout.rst", "reference/generated/networkx.drawing.layout.kamada_kawai_layout.rst", "reference/generated/networkx.drawing.layout.multipartite_layout.rst", "reference/generated/networkx.drawing.layout.planar_layout.rst", "reference/generated/networkx.drawing.layout.random_layout.rst", "reference/generated/networkx.drawing.layout.rescale_layout.rst", "reference/generated/networkx.drawing.layout.rescale_layout_dict.rst", "reference/generated/networkx.drawing.layout.shell_layout.rst", "reference/generated/networkx.drawing.layout.spectral_layout.rst", "reference/generated/networkx.drawing.layout.spiral_layout.rst", "reference/generated/networkx.drawing.layout.spring_layout.rst", "reference/generated/networkx.drawing.nx_agraph.from_agraph.rst", "reference/generated/networkx.drawing.nx_agraph.graphviz_layout.rst", "reference/generated/networkx.drawing.nx_agraph.pygraphviz_layout.rst", "reference/generated/networkx.drawing.nx_agraph.read_dot.rst", "reference/generated/networkx.drawing.nx_agraph.to_agraph.rst", "reference/generated/networkx.drawing.nx_agraph.write_dot.rst", "reference/generated/networkx.drawing.nx_latex.to_latex.rst", "reference/generated/networkx.drawing.nx_latex.to_latex_raw.rst", "reference/generated/networkx.drawing.nx_latex.write_latex.rst", "reference/generated/networkx.drawing.nx_pydot.from_pydot.rst", "reference/generated/networkx.drawing.nx_pydot.graphviz_layout.rst", "reference/generated/networkx.drawing.nx_pydot.pydot_layout.rst", "reference/generated/networkx.drawing.nx_pydot.read_dot.rst", "reference/generated/networkx.drawing.nx_pydot.to_pydot.rst", "reference/generated/networkx.drawing.nx_pydot.write_dot.rst", "reference/generated/networkx.drawing.nx_pylab.draw.rst", "reference/generated/networkx.drawing.nx_pylab.draw_circular.rst", "reference/generated/networkx.drawing.nx_pylab.draw_kamada_kawai.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edge_labels.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_edges.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_labels.rst", "reference/generated/networkx.drawing.nx_pylab.draw_networkx_nodes.rst", "reference/generated/networkx.drawing.nx_pylab.draw_planar.rst", "reference/generated/networkx.drawing.nx_pylab.draw_random.rst", "reference/generated/networkx.drawing.nx_pylab.draw_shell.rst", "reference/generated/networkx.drawing.nx_pylab.draw_spectral.rst", "reference/generated/networkx.drawing.nx_pylab.draw_spring.rst", "reference/generated/networkx.generators.atlas.graph_atlas.rst", "reference/generated/networkx.generators.atlas.graph_atlas_g.rst", "reference/generated/networkx.generators.classic.balanced_tree.rst", "reference/generated/networkx.generators.classic.barbell_graph.rst", "reference/generated/networkx.generators.classic.binomial_tree.rst", "reference/generated/networkx.generators.classic.circulant_graph.rst", "reference/generated/networkx.generators.classic.circular_ladder_graph.rst", "reference/generated/networkx.generators.classic.complete_graph.rst", "reference/generated/networkx.generators.classic.complete_multipartite_graph.rst", "reference/generated/networkx.generators.classic.cycle_graph.rst", "reference/generated/networkx.generators.classic.dorogovtsev_goltsev_mendes_graph.rst", "reference/generated/networkx.generators.classic.empty_graph.rst", "reference/generated/networkx.generators.classic.full_rary_tree.rst", "reference/generated/networkx.generators.classic.ladder_graph.rst", "reference/generated/networkx.generators.classic.lollipop_graph.rst", "reference/generated/networkx.generators.classic.null_graph.rst", "reference/generated/networkx.generators.classic.path_graph.rst", "reference/generated/networkx.generators.classic.star_graph.rst", "reference/generated/networkx.generators.classic.trivial_graph.rst", "reference/generated/networkx.generators.classic.turan_graph.rst", "reference/generated/networkx.generators.classic.wheel_graph.rst", "reference/generated/networkx.generators.cographs.random_cograph.rst", "reference/generated/networkx.generators.community.LFR_benchmark_graph.rst", "reference/generated/networkx.generators.community.caveman_graph.rst", "reference/generated/networkx.generators.community.connected_caveman_graph.rst", "reference/generated/networkx.generators.community.gaussian_random_partition_graph.rst", "reference/generated/networkx.generators.community.planted_partition_graph.rst", "reference/generated/networkx.generators.community.random_partition_graph.rst", "reference/generated/networkx.generators.community.relaxed_caveman_graph.rst", "reference/generated/networkx.generators.community.ring_of_cliques.rst", "reference/generated/networkx.generators.community.stochastic_block_model.rst", "reference/generated/networkx.generators.community.windmill_graph.rst", "reference/generated/networkx.generators.degree_seq.configuration_model.rst", "reference/generated/networkx.generators.degree_seq.degree_sequence_tree.rst", "reference/generated/networkx.generators.degree_seq.directed_configuration_model.rst", "reference/generated/networkx.generators.degree_seq.directed_havel_hakimi_graph.rst", "reference/generated/networkx.generators.degree_seq.expected_degree_graph.rst", "reference/generated/networkx.generators.degree_seq.havel_hakimi_graph.rst", "reference/generated/networkx.generators.degree_seq.random_degree_sequence_graph.rst", "reference/generated/networkx.generators.directed.gn_graph.rst", "reference/generated/networkx.generators.directed.gnc_graph.rst", "reference/generated/networkx.generators.directed.gnr_graph.rst", "reference/generated/networkx.generators.directed.random_k_out_graph.rst", "reference/generated/networkx.generators.directed.scale_free_graph.rst", "reference/generated/networkx.generators.duplication.duplication_divergence_graph.rst", "reference/generated/networkx.generators.duplication.partial_duplication_graph.rst", "reference/generated/networkx.generators.ego.ego_graph.rst", "reference/generated/networkx.generators.expanders.chordal_cycle_graph.rst", "reference/generated/networkx.generators.expanders.margulis_gabber_galil_graph.rst", "reference/generated/networkx.generators.expanders.paley_graph.rst", "reference/generated/networkx.generators.geometric.geographical_threshold_graph.rst", "reference/generated/networkx.generators.geometric.geometric_edges.rst", "reference/generated/networkx.generators.geometric.navigable_small_world_graph.rst", "reference/generated/networkx.generators.geometric.random_geometric_graph.rst", "reference/generated/networkx.generators.geometric.soft_random_geometric_graph.rst", "reference/generated/networkx.generators.geometric.thresholded_random_geometric_graph.rst", "reference/generated/networkx.generators.geometric.waxman_graph.rst", "reference/generated/networkx.generators.harary_graph.hkn_harary_graph.rst", "reference/generated/networkx.generators.harary_graph.hnm_harary_graph.rst", "reference/generated/networkx.generators.internet_as_graphs.random_internet_as_graph.rst", "reference/generated/networkx.generators.intersection.general_random_intersection_graph.rst", "reference/generated/networkx.generators.intersection.k_random_intersection_graph.rst", "reference/generated/networkx.generators.intersection.uniform_random_intersection_graph.rst", "reference/generated/networkx.generators.interval_graph.interval_graph.rst", "reference/generated/networkx.generators.joint_degree_seq.directed_joint_degree_graph.rst", "reference/generated/networkx.generators.joint_degree_seq.is_valid_directed_joint_degree.rst", "reference/generated/networkx.generators.joint_degree_seq.is_valid_joint_degree.rst", "reference/generated/networkx.generators.joint_degree_seq.joint_degree_graph.rst", "reference/generated/networkx.generators.lattice.grid_2d_graph.rst", "reference/generated/networkx.generators.lattice.grid_graph.rst", "reference/generated/networkx.generators.lattice.hexagonal_lattice_graph.rst", "reference/generated/networkx.generators.lattice.hypercube_graph.rst", "reference/generated/networkx.generators.lattice.triangular_lattice_graph.rst", "reference/generated/networkx.generators.line.inverse_line_graph.rst", "reference/generated/networkx.generators.line.line_graph.rst", "reference/generated/networkx.generators.mycielski.mycielski_graph.rst", "reference/generated/networkx.generators.mycielski.mycielskian.rst", "reference/generated/networkx.generators.nonisomorphic_trees.nonisomorphic_trees.rst", "reference/generated/networkx.generators.nonisomorphic_trees.number_of_nonisomorphic_trees.rst", "reference/generated/networkx.generators.random_clustered.random_clustered_graph.rst", "reference/generated/networkx.generators.random_graphs.barabasi_albert_graph.rst", "reference/generated/networkx.generators.random_graphs.binomial_graph.rst", "reference/generated/networkx.generators.random_graphs.connected_watts_strogatz_graph.rst", "reference/generated/networkx.generators.random_graphs.dense_gnm_random_graph.rst", "reference/generated/networkx.generators.random_graphs.dual_barabasi_albert_graph.rst", "reference/generated/networkx.generators.random_graphs.erdos_renyi_graph.rst", "reference/generated/networkx.generators.random_graphs.extended_barabasi_albert_graph.rst", "reference/generated/networkx.generators.random_graphs.fast_gnp_random_graph.rst", "reference/generated/networkx.generators.random_graphs.gnm_random_graph.rst", "reference/generated/networkx.generators.random_graphs.gnp_random_graph.rst", "reference/generated/networkx.generators.random_graphs.newman_watts_strogatz_graph.rst", "reference/generated/networkx.generators.random_graphs.powerlaw_cluster_graph.rst", "reference/generated/networkx.generators.random_graphs.random_kernel_graph.rst", "reference/generated/networkx.generators.random_graphs.random_lobster.rst", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree.rst", "reference/generated/networkx.generators.random_graphs.random_powerlaw_tree_sequence.rst", "reference/generated/networkx.generators.random_graphs.random_regular_graph.rst", "reference/generated/networkx.generators.random_graphs.random_shell_graph.rst", "reference/generated/networkx.generators.random_graphs.watts_strogatz_graph.rst", "reference/generated/networkx.generators.small.LCF_graph.rst", "reference/generated/networkx.generators.small.bull_graph.rst", "reference/generated/networkx.generators.small.chvatal_graph.rst", "reference/generated/networkx.generators.small.cubical_graph.rst", "reference/generated/networkx.generators.small.desargues_graph.rst", "reference/generated/networkx.generators.small.diamond_graph.rst", "reference/generated/networkx.generators.small.dodecahedral_graph.rst", "reference/generated/networkx.generators.small.frucht_graph.rst", "reference/generated/networkx.generators.small.heawood_graph.rst", "reference/generated/networkx.generators.small.hoffman_singleton_graph.rst", "reference/generated/networkx.generators.small.house_graph.rst", "reference/generated/networkx.generators.small.house_x_graph.rst", "reference/generated/networkx.generators.small.icosahedral_graph.rst", "reference/generated/networkx.generators.small.krackhardt_kite_graph.rst", "reference/generated/networkx.generators.small.moebius_kantor_graph.rst", "reference/generated/networkx.generators.small.octahedral_graph.rst", "reference/generated/networkx.generators.small.pappus_graph.rst", "reference/generated/networkx.generators.small.petersen_graph.rst", "reference/generated/networkx.generators.small.sedgewick_maze_graph.rst", "reference/generated/networkx.generators.small.tetrahedral_graph.rst", "reference/generated/networkx.generators.small.truncated_cube_graph.rst", "reference/generated/networkx.generators.small.truncated_tetrahedron_graph.rst", "reference/generated/networkx.generators.small.tutte_graph.rst", "reference/generated/networkx.generators.social.davis_southern_women_graph.rst", "reference/generated/networkx.generators.social.florentine_families_graph.rst", "reference/generated/networkx.generators.social.karate_club_graph.rst", "reference/generated/networkx.generators.social.les_miserables_graph.rst", "reference/generated/networkx.generators.spectral_graph_forge.spectral_graph_forge.rst", "reference/generated/networkx.generators.stochastic.stochastic_graph.rst", "reference/generated/networkx.generators.sudoku.sudoku_graph.rst", "reference/generated/networkx.generators.trees.prefix_tree.rst", "reference/generated/networkx.generators.trees.random_tree.rst", "reference/generated/networkx.generators.triads.triad_graph.rst", "reference/generated/networkx.linalg.algebraicconnectivity.algebraic_connectivity.rst", "reference/generated/networkx.linalg.algebraicconnectivity.fiedler_vector.rst", "reference/generated/networkx.linalg.algebraicconnectivity.spectral_ordering.rst", "reference/generated/networkx.linalg.attrmatrix.attr_matrix.rst", "reference/generated/networkx.linalg.attrmatrix.attr_sparse_matrix.rst", "reference/generated/networkx.linalg.bethehessianmatrix.bethe_hessian_matrix.rst", "reference/generated/networkx.linalg.graphmatrix.adjacency_matrix.rst", "reference/generated/networkx.linalg.graphmatrix.incidence_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.directed_combinatorial_laplacian_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.directed_laplacian_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.laplacian_matrix.rst", "reference/generated/networkx.linalg.laplacianmatrix.normalized_laplacian_matrix.rst", "reference/generated/networkx.linalg.modularitymatrix.directed_modularity_matrix.rst", "reference/generated/networkx.linalg.modularitymatrix.modularity_matrix.rst", "reference/generated/networkx.linalg.spectrum.adjacency_spectrum.rst", "reference/generated/networkx.linalg.spectrum.bethe_hessian_spectrum.rst", "reference/generated/networkx.linalg.spectrum.laplacian_spectrum.rst", "reference/generated/networkx.linalg.spectrum.modularity_spectrum.rst", "reference/generated/networkx.linalg.spectrum.normalized_laplacian_spectrum.rst", "reference/generated/networkx.relabel.convert_node_labels_to_integers.rst", "reference/generated/networkx.relabel.relabel_nodes.rst", "reference/generated/networkx.utils.decorators.argmap.rst", "reference/generated/networkx.utils.decorators.nodes_or_number.rst", "reference/generated/networkx.utils.decorators.not_implemented_for.rst", "reference/generated/networkx.utils.decorators.np_random_state.rst", "reference/generated/networkx.utils.decorators.open_file.rst", "reference/generated/networkx.utils.decorators.py_random_state.rst", "reference/generated/networkx.utils.mapped_queue.MappedQueue.rst", "reference/generated/networkx.utils.misc.arbitrary_element.rst", "reference/generated/networkx.utils.misc.create_py_random_state.rst", "reference/generated/networkx.utils.misc.create_random_state.rst", "reference/generated/networkx.utils.misc.dict_to_numpy_array.rst", "reference/generated/networkx.utils.misc.edges_equal.rst", "reference/generated/networkx.utils.misc.flatten.rst", "reference/generated/networkx.utils.misc.graphs_equal.rst", "reference/generated/networkx.utils.misc.groups.rst", "reference/generated/networkx.utils.misc.make_list_of_ints.rst", "reference/generated/networkx.utils.misc.nodes_equal.rst", "reference/generated/networkx.utils.misc.pairwise.rst", "reference/generated/networkx.utils.random_sequence.cumulative_distribution.rst", "reference/generated/networkx.utils.random_sequence.discrete_sequence.rst", "reference/generated/networkx.utils.random_sequence.powerlaw_sequence.rst", "reference/generated/networkx.utils.random_sequence.random_weighted_sample.rst", "reference/generated/networkx.utils.random_sequence.weighted_choice.rst", "reference/generated/networkx.utils.random_sequence.zipf_rv.rst", "reference/generated/networkx.utils.rcm.cuthill_mckee_ordering.rst", "reference/generated/networkx.utils.rcm.reverse_cuthill_mckee_ordering.rst", "reference/generated/networkx.utils.union_find.UnionFind.union.rst", "reference/generators.rst", "reference/glossary.rst", "reference/index.rst", "reference/introduction.rst", "reference/linalg.rst", "reference/randomness.rst", "reference/readwrite/adjlist.rst", "reference/readwrite/edgelist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.generate_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.parse_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.read_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.adjlist.write_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.generate_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.parse_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.read_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.read_weighted_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.write_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.edgelist.write_weighted_edgelist.rst", "reference/readwrite/generated/networkx.readwrite.gexf.generate_gexf.rst", "reference/readwrite/generated/networkx.readwrite.gexf.read_gexf.rst", "reference/readwrite/generated/networkx.readwrite.gexf.relabel_gexf_graph.rst", "reference/readwrite/generated/networkx.readwrite.gexf.write_gexf.rst", "reference/readwrite/generated/networkx.readwrite.gml.generate_gml.rst", "reference/readwrite/generated/networkx.readwrite.gml.literal_destringizer.rst", "reference/readwrite/generated/networkx.readwrite.gml.literal_stringizer.rst", "reference/readwrite/generated/networkx.readwrite.gml.parse_gml.rst", "reference/readwrite/generated/networkx.readwrite.gml.read_gml.rst", "reference/readwrite/generated/networkx.readwrite.gml.write_gml.rst", "reference/readwrite/generated/networkx.readwrite.graph6.from_graph6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.graph6.read_graph6.rst", "reference/readwrite/generated/networkx.readwrite.graph6.to_graph6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.graph6.write_graph6.rst", "reference/readwrite/generated/networkx.readwrite.graphml.generate_graphml.rst", "reference/readwrite/generated/networkx.readwrite.graphml.parse_graphml.rst", "reference/readwrite/generated/networkx.readwrite.graphml.read_graphml.rst", "reference/readwrite/generated/networkx.readwrite.graphml.write_graphml.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.adjacency_graph.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.cytoscape_graph.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.node_link_graph.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_data.rst", "reference/readwrite/generated/networkx.readwrite.json_graph.tree_graph.rst", "reference/readwrite/generated/networkx.readwrite.leda.parse_leda.rst", "reference/readwrite/generated/networkx.readwrite.leda.read_leda.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.generate_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.parse_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.read_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.multiline_adjlist.write_multiline_adjlist.rst", "reference/readwrite/generated/networkx.readwrite.pajek.generate_pajek.rst", "reference/readwrite/generated/networkx.readwrite.pajek.parse_pajek.rst", "reference/readwrite/generated/networkx.readwrite.pajek.read_pajek.rst", "reference/readwrite/generated/networkx.readwrite.pajek.write_pajek.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.from_sparse6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.read_sparse6.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.to_sparse6_bytes.rst", "reference/readwrite/generated/networkx.readwrite.sparse6.write_sparse6.rst", "reference/readwrite/generated/networkx.readwrite.text.generate_network_text.rst", "reference/readwrite/generated/networkx.readwrite.text.write_network_text.rst", "reference/readwrite/gexf.rst", "reference/readwrite/gml.rst", "reference/readwrite/graphml.rst", "reference/readwrite/index.rst", "reference/readwrite/json_graph.rst", "reference/readwrite/leda.rst", "reference/readwrite/matrix_market.rst", "reference/readwrite/multiline_adjlist.rst", "reference/readwrite/pajek.rst", "reference/readwrite/sparsegraph6.rst", "reference/readwrite/text.rst", "reference/relabel.rst", "reference/utils.rst", "release/api_0.99.rst", "release/api_1.0.rst", "release/api_1.10.rst", "release/api_1.11.rst", "release/api_1.4.rst", "release/api_1.5.rst", "release/api_1.6.rst", "release/api_1.7.rst", "release/api_1.8.rst", "release/api_1.9.rst", "release/index.rst", "release/migration_guide_from_1.x_to_2.0.rst", "release/migration_guide_from_2.x_to_3.0.rst", "release/old_release_log.rst", "release/release_2.0.rst", "release/release_2.1.rst", "release/release_2.2.rst", "release/release_2.3.rst", "release/release_2.4.rst", "release/release_2.5.rst", "release/release_2.6.rst", "release/release_2.7.rst", "release/release_2.7.1.rst", "release/release_2.8.rst", "release/release_2.8.1.rst", "release/release_2.8.2.rst", "release/release_2.8.3.rst", "release/release_2.8.4.rst", "release/release_2.8.5.rst", "release/release_2.8.6.rst", "release/release_2.8.7.rst", "release/release_2.8.8.rst", "release/release_3.0.rst", "release/release_dev.rst", "tutorial.rst"], "titles": ["3D Drawing", "Mayavi2", "Basic matplotlib", "Computation times", "Algorithms", "Beam Search", "Betweenness Centrality", "Blockmodel", "Circuits", "Davis Club", "Dedensification", "Iterated Dynamical Systems", "Krackhardt Centrality", "Maximum Independent Set", "Parallel Betweenness", "Reverse Cuthill\u2013McKee", "SNAP Graph Summary", "Subgraphs", "Computation times", "Basic", "Properties", "Read and write graphs.", "Simple graph", "Computation times", "Drawing", "Custom Node Position", "Chess Masters", "Custom node icons", "Degree Analysis", "Directed Graph", "Edge Colormap", "Ego Graph", "Eigenvalues", "Four Grids", "House With Colors", "Knuth Miles", "Labels And Colors", "Multipartite Layout", "Node Colormap", "Rainbow Coloring", "Random Geometric Graph", "Sampson", "Self-loops", "Simple Path", "Spectral Embedding", "Traveling Salesman Problem", "Unix Email", "Weighted Graph", "Computation times", "External libraries", "Javascript", "igraph", "Computation times", "Geospatial Examples Description", "Geospatial", "Delaunay graphs from geographic points", "Graphs from a set of lines", "OpenStreetMap with OSMnx", "Graphs from geographic points", "Graphs from Polygons", "Computation times", "Graph", "DAG - Topological Layout", "Degree Sequence", "Erdos Renyi", "Expected Degree Sequence", "Football", "Karate Club", "Morse Trie", "Napoleon Russian Campaign", "Roget", "Triads", "Words/Ladder Graph", "Computation times", "Graphviz Drawing", "Attributes", "Conversion", "2D Grid", "Atlas", "Computation times", "Graphviz Layout", "Atlas", "Circular Tree", "Decomposition", "Giant Component", "Lanl Routes", "Computation times", "Gallery", "Subclass", "Antigraph", "Print Graph", "Computation times", "About Us", "Code of Conduct", "Contributor Guide", "Core Developer Guide", "Deprecations", "Developer", "New Contributor FAQ", "NXEPs", "NXEP 0 \u2014 Purpose and Process", "NXEP 1 \u2014 Governance and Decision Making", "NXEP 2 \u2014 API design of view slices", "NXEP 3 \u2014 Graph Builders", "NXEP 4 \u2014 Adopting <code class=\"xref py py-obj docutils literal notranslate\"><span class=\"pre\">numpy.random.Generator</span></code> as default random interface", "NXEP X \u2014 Template and Instructions", "Mentored Projects", "Release Process", "Roadmap", "Core Developers", "Mission and Values", "Software for Complex Networks", "Install", "Approximations and Heuristics", "Assortativity", "Asteroidal", "Bipartite", "Boundary", "Bridges", "Centrality", "Chains", "Chordal", "Clique", "Clustering", "Coloring", "Communicability", "Communities", "Components", "Connectivity", "Cores", "Covering", "Cuts", "Cycles", "D-Separation", "Directed Acyclic Graphs", "Distance Measures", "Distance-Regular Graphs", "Dominance", "Dominating Sets", "Efficiency", "Eulerian", "Flows", "EdgeComponentAuxGraph.construct", "EdgeComponentAuxGraph.k_edge_components", "EdgeComponentAuxGraph.k_edge_subgraphs", "ISMAGS.analyze_symmetry", "ISMAGS.find_isomorphisms", "ISMAGS.is_isomorphic", "ISMAGS.isomorphisms_iter", "ISMAGS.largest_common_subgraph", "ISMAGS.subgraph_is_isomorphic", "ISMAGS.subgraph_isomorphisms_iter", "PlanarEmbedding.add_edge", "PlanarEmbedding.add_edges_from", "PlanarEmbedding.add_half_edge_ccw", "PlanarEmbedding.add_half_edge_cw", "PlanarEmbedding.add_half_edge_first", "PlanarEmbedding.add_node", "PlanarEmbedding.add_nodes_from", "PlanarEmbedding.add_weighted_edges_from", "PlanarEmbedding.adj", "PlanarEmbedding.adjacency", "PlanarEmbedding.check_structure", "PlanarEmbedding.clear", "PlanarEmbedding.clear_edges", "PlanarEmbedding.connect_components", "PlanarEmbedding.copy", "PlanarEmbedding.degree", "PlanarEmbedding.edge_subgraph", "PlanarEmbedding.edges", "PlanarEmbedding.get_data", "PlanarEmbedding.get_edge_data", "PlanarEmbedding.has_edge", "PlanarEmbedding.has_node", "PlanarEmbedding.has_predecessor", "PlanarEmbedding.has_successor", "PlanarEmbedding.in_degree", "PlanarEmbedding.in_edges", "PlanarEmbedding.is_directed", "PlanarEmbedding.is_multigraph", "PlanarEmbedding.name", "PlanarEmbedding.nbunch_iter", "PlanarEmbedding.neighbors", "PlanarEmbedding.neighbors_cw_order", "PlanarEmbedding.next_face_half_edge", "PlanarEmbedding.nodes", "PlanarEmbedding.number_of_edges", "PlanarEmbedding.number_of_nodes", "PlanarEmbedding.order", "PlanarEmbedding.out_degree", "PlanarEmbedding.out_edges", "PlanarEmbedding.pred", "PlanarEmbedding.predecessors", "PlanarEmbedding.remove_edge", "PlanarEmbedding.remove_edges_from", "PlanarEmbedding.remove_node", "PlanarEmbedding.remove_nodes_from", "PlanarEmbedding.reverse", "PlanarEmbedding.set_data", "PlanarEmbedding.size", "PlanarEmbedding.subgraph", "PlanarEmbedding.succ", "PlanarEmbedding.successors", "PlanarEmbedding.to_directed", "PlanarEmbedding.to_directed_class", "PlanarEmbedding.to_undirected", "PlanarEmbedding.to_undirected_class", "PlanarEmbedding.traverse_face", "PlanarEmbedding.update", "Edmonds.find_optimum", "clique_removal", "large_clique_size", "max_clique", "maximum_independent_set", "average_clustering", "all_pairs_node_connectivity", "local_node_connectivity", "node_connectivity", "diameter", "min_edge_dominating_set", "min_weighted_dominating_set", "k_components", "min_maximal_matching", "one_exchange", "randomized_partitioning", "ramsey_R2", "metric_closure", "steiner_tree", "asadpour_atsp", "christofides", "greedy_tsp", "simulated_annealing_tsp", "threshold_accepting_tsp", "traveling_salesman_problem", "treewidth_min_degree", "treewidth_min_fill_in", "min_weighted_vertex_cover", "attribute_assortativity_coefficient", "attribute_mixing_dict", "attribute_mixing_matrix", "average_degree_connectivity", "average_neighbor_degree", "degree_assortativity_coefficient", "degree_mixing_dict", "degree_mixing_matrix", "degree_pearson_correlation_coefficient", "mixing_dict", "node_attribute_xy", "node_degree_xy", "numeric_assortativity_coefficient", "find_asteroidal_triple", "is_at_free", "color", "degrees", "density", "is_bipartite", "is_bipartite_node_set", "sets", "betweenness_centrality", "closeness_centrality", "degree_centrality", "average_clustering", "clustering", "latapy_clustering", "robins_alexander_clustering", "min_edge_cover", "generate_edgelist", "parse_edgelist", "read_edgelist", "write_edgelist", "alternating_havel_hakimi_graph", "complete_bipartite_graph", "configuration_model", "gnmk_random_graph", "havel_hakimi_graph", "preferential_attachment_graph", "random_graph", "reverse_havel_hakimi_graph", "eppstein_matching", "hopcroft_karp_matching", "maximum_matching", "minimum_weight_full_matching", "to_vertex_cover", "biadjacency_matrix", "from_biadjacency_matrix", "collaboration_weighted_projected_graph", "generic_weighted_projected_graph", "overlap_weighted_projected_graph", "projected_graph", "weighted_projected_graph", "node_redundancy", "spectral_bipartivity", "edge_boundary", "node_boundary", "bridges", "has_bridges", "local_bridges", "approximate_current_flow_betweenness_centrality", "betweenness_centrality", "betweenness_centrality_subset", "closeness_centrality", "communicability_betweenness_centrality", "current_flow_betweenness_centrality", "current_flow_betweenness_centrality_subset", "current_flow_closeness_centrality", "degree_centrality", "dispersion", "edge_betweenness_centrality", "edge_betweenness_centrality_subset", "edge_current_flow_betweenness_centrality", "edge_current_flow_betweenness_centrality_subset", "edge_load_centrality", "eigenvector_centrality", "eigenvector_centrality_numpy", "estrada_index", "global_reaching_centrality", "group_betweenness_centrality", "group_closeness_centrality", "group_degree_centrality", "group_in_degree_centrality", "group_out_degree_centrality", "harmonic_centrality", "in_degree_centrality", "incremental_closeness_centrality", "information_centrality", "katz_centrality", "katz_centrality_numpy", "laplacian_centrality", "load_centrality", "local_reaching_centrality", "out_degree_centrality", "percolation_centrality", "prominent_group", "second_order_centrality", "subgraph_centrality", "subgraph_centrality_exp", "trophic_differences", "trophic_incoherence_parameter", "trophic_levels", "voterank", "chain_decomposition", "chordal_graph_cliques", "chordal_graph_treewidth", "complete_to_chordal_graph", "find_induced_nodes", "is_chordal", "cliques_containing_node", "enumerate_all_cliques", "find_cliques", "find_cliques_recursive", "graph_clique_number", "graph_number_of_cliques", "make_clique_bipartite", "make_max_clique_graph", "max_weight_clique", "node_clique_number", "number_of_cliques", "average_clustering", "clustering", "generalized_degree", "square_clustering", "transitivity", "triangles", "equitable_color", "greedy_color", "strategy_connected_sequential", "strategy_connected_sequential_bfs", "strategy_connected_sequential_dfs", "strategy_independent_set", "strategy_largest_first", "strategy_random_sequential", "strategy_saturation_largest_first", "strategy_smallest_last", "communicability", "communicability_exp", "asyn_fluidc", "girvan_newman", "is_partition", "k_clique_communities", "kernighan_lin_bisection", "asyn_lpa_communities", "label_propagation_communities", "louvain_communities", "louvain_partitions", "lukes_partitioning", "greedy_modularity_communities", "naive_greedy_modularity_communities", "modularity", "partition_quality", "articulation_points", "attracting_components", "biconnected_component_edges", "biconnected_components", "condensation", "connected_components", "is_attracting_component", "is_biconnected", "is_connected", "is_semiconnected", "is_strongly_connected", "is_weakly_connected", "kosaraju_strongly_connected_components", "node_connected_component", "number_attracting_components", "number_connected_components", "number_strongly_connected_components", "number_weakly_connected_components", "strongly_connected_components", "strongly_connected_components_recursive", "weakly_connected_components", "all_pairs_node_connectivity", "average_node_connectivity", "edge_connectivity", "local_edge_connectivity", "local_node_connectivity", "node_connectivity", "minimum_edge_cut", "minimum_node_cut", "minimum_st_edge_cut", "minimum_st_node_cut", "edge_disjoint_paths", "node_disjoint_paths", "is_k_edge_connected", "is_locally_k_edge_connected", "k_edge_augmentation", "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph", "bridge_components", "k_edge_components", "k_edge_subgraphs", "k_components", "all_node_cuts", "stoer_wagner", "build_auxiliary_edge_connectivity", "build_auxiliary_node_connectivity", "core_number", "k_core", "k_corona", "k_crust", "k_shell", "k_truss", "onion_layers", "is_edge_cover", "min_edge_cover", "boundary_expansion", "conductance", "cut_size", "edge_expansion", "mixing_expansion", "node_expansion", "normalized_cut_size", "volume", "cycle_basis", "find_cycle", "minimum_cycle_basis", "recursive_simple_cycles", "simple_cycles", "d_separated", "all_topological_sorts", "ancestors", "antichains", "dag_longest_path", "dag_longest_path_length", "dag_to_branching", "descendants", "is_aperiodic", "is_directed_acyclic_graph", "lexicographical_topological_sort", "topological_generations", "topological_sort", "transitive_closure", "transitive_closure_dag", "transitive_reduction", "barycenter", "center", "diameter", "eccentricity", "periphery", "radius", "resistance_distance", "global_parameters", "intersection_array", "is_distance_regular", "is_strongly_regular", "dominance_frontiers", "immediate_dominators", "dominating_set", "is_dominating_set", "efficiency", "global_efficiency", "local_efficiency", "eulerian_circuit", "eulerian_path", "eulerize", "has_eulerian_path", "is_eulerian", "is_semieulerian", "boykov_kolmogorov", "build_residual_network", "capacity_scaling", "cost_of_flow", "dinitz", "edmonds_karp", "gomory_hu_tree", "max_flow_min_cost", "maximum_flow", "maximum_flow_value", "min_cost_flow", "min_cost_flow_cost", "minimum_cut", "minimum_cut_value", "network_simplex", "preflow_push", "shortest_augmenting_path", "weisfeiler_lehman_graph_hash", "weisfeiler_lehman_subgraph_hashes", "is_digraphical", "is_graphical", "is_multigraphical", "is_pseudographical", "is_valid_degree_sequence_erdos_gallai", "is_valid_degree_sequence_havel_hakimi", "flow_hierarchy", "is_kl_connected", "kl_connected_subgraph", "is_isolate", "isolates", "number_of_isolates", "DiGraphMatcher.__init__", "DiGraphMatcher.candidate_pairs_iter", "DiGraphMatcher.initialize", "DiGraphMatcher.is_isomorphic", "DiGraphMatcher.isomorphisms_iter", "DiGraphMatcher.match", "DiGraphMatcher.semantic_feasibility", "DiGraphMatcher.subgraph_is_isomorphic", "DiGraphMatcher.subgraph_isomorphisms_iter", "DiGraphMatcher.syntactic_feasibility", "GraphMatcher.__init__", "GraphMatcher.candidate_pairs_iter", "GraphMatcher.initialize", "GraphMatcher.is_isomorphic", "GraphMatcher.isomorphisms_iter", "GraphMatcher.match", "GraphMatcher.semantic_feasibility", "GraphMatcher.subgraph_is_isomorphic", "GraphMatcher.subgraph_isomorphisms_iter", "GraphMatcher.syntactic_feasibility", "networkx.algorithms.isomorphism.ISMAGS", "categorical_edge_match", "categorical_multiedge_match", "categorical_node_match", "could_be_isomorphic", "fast_could_be_isomorphic", "faster_could_be_isomorphic", "generic_edge_match", "generic_multiedge_match", "generic_node_match", "is_isomorphic", "numerical_edge_match", "numerical_multiedge_match", "numerical_node_match", "rooted_tree_isomorphism", "tree_isomorphism", "vf2pp_all_isomorphisms", "vf2pp_is_isomorphic", "vf2pp_isomorphism", "hits", "google_matrix", "pagerank", "adamic_adar_index", "cn_soundarajan_hopcroft", "common_neighbor_centrality", "jaccard_coefficient", "preferential_attachment", "ra_index_soundarajan_hopcroft", "resource_allocation_index", "within_inter_cluster", "all_pairs_lowest_common_ancestor", "lowest_common_ancestor", "tree_all_pairs_lowest_common_ancestor", "is_matching", "is_maximal_matching", "is_perfect_matching", "max_weight_matching", "maximal_matching", "min_weight_matching", "contracted_edge", "contracted_nodes", "equivalence_classes", "identified_nodes", "quotient_graph", "maximal_independent_set", "moral_graph", "harmonic_function", "local_and_global_consistency", "non_randomness", "compose_all", "disjoint_union_all", "intersection_all", "union_all", "compose", "difference", "disjoint_union", "full_join", "intersection", "symmetric_difference", "union", "cartesian_product", "corona_product", "lexicographic_product", "power", "rooted_product", "strong_product", "tensor_product", "complement", "reverse", "combinatorial_embedding_to_pos", "networkx.algorithms.planarity.PlanarEmbedding", "check_planarity", "is_planar", "chromatic_polynomial", "tutte_polynomial", "overall_reciprocity", "reciprocity", "is_k_regular", "is_regular", "k_factor", "rich_club_coefficient", "astar_path", "astar_path_length", "floyd_warshall", "floyd_warshall_numpy", "floyd_warshall_predecessor_and_distance", "reconstruct_path", "all_shortest_paths", "average_shortest_path_length", "has_path", "shortest_path", "shortest_path_length", "all_pairs_shortest_path", "all_pairs_shortest_path_length", "bidirectional_shortest_path", "predecessor", "single_source_shortest_path", "single_source_shortest_path_length", "single_target_shortest_path", "single_target_shortest_path_length", "all_pairs_bellman_ford_path", "all_pairs_bellman_ford_path_length", "all_pairs_dijkstra", "all_pairs_dijkstra_path", "all_pairs_dijkstra_path_length", "bellman_ford_path", "bellman_ford_path_length", "bellman_ford_predecessor_and_distance", "bidirectional_dijkstra", "dijkstra_path", "dijkstra_path_length", "dijkstra_predecessor_and_distance", "find_negative_cycle", "goldberg_radzik", "johnson", "multi_source_dijkstra", "multi_source_dijkstra_path", "multi_source_dijkstra_path_length", "negative_edge_cycle", "single_source_bellman_ford", "single_source_bellman_ford_path", "single_source_bellman_ford_path_length", "single_source_dijkstra", "single_source_dijkstra_path", "single_source_dijkstra_path_length", "generate_random_paths", "graph_edit_distance", "optimal_edit_paths", "optimize_edit_paths", "optimize_graph_edit_distance", "panther_similarity", "simrank_similarity", "all_simple_edge_paths", "all_simple_paths", "is_simple_path", "shortest_simple_paths", "lattice_reference", "omega", "random_reference", "sigma", "s_metric", "spanner", "constraint", "effective_size", "local_constraint", "dedensify", "snap_aggregation", "connected_double_edge_swap", "directed_edge_swap", "double_edge_swap", "find_threshold_graph", "is_threshold_graph", "hamiltonian_path", "is_reachable", "is_strongly_connected", "is_tournament", "random_tournament", "score_sequence", "bfs_beam_edges", "bfs_edges", "bfs_layers", "bfs_predecessors", "bfs_successors", "bfs_tree", "descendants_at_distance", "dfs_edges", "dfs_labeled_edges", "dfs_postorder_nodes", "dfs_predecessors", "dfs_preorder_nodes", "dfs_successors", "dfs_tree", "edge_bfs", "edge_dfs", "networkx.algorithms.tree.branchings.ArborescenceIterator", "networkx.algorithms.tree.branchings.Edmonds", "branching_weight", "greedy_branching", "maximum_branching", "maximum_spanning_arborescence", "minimum_branching", "minimum_spanning_arborescence", "NotATree", "from_nested_tuple", "from_prufer_sequence", "to_nested_tuple", "to_prufer_sequence", "junction_tree", "networkx.algorithms.tree.mst.SpanningTreeIterator", "maximum_spanning_edges", "maximum_spanning_tree", "minimum_spanning_edges", "minimum_spanning_tree", "random_spanning_tree", "join", "is_arborescence", "is_branching", "is_forest", "is_tree", "all_triads", "all_triplets", "is_triad", "random_triad", "triad_type", "triadic_census", "triads_by_type", "closeness_vitality", "voronoi_cells", "wiener_index", "Graph Hashing", "Graphical degree sequence", "Hierarchy", "Hybrid", "Algorithms", "Isolates", "Isomorphism", "ISMAGS Algorithm", "VF2 Algorithm", "Link Analysis", "Link Prediction", "Lowest Common Ancestor", "Matching", "Minors", "Maximal independent set", "Moral", "Node Classification", "non-randomness", "Operators", "Planar Drawing", "Planarity", "Graph Polynomials", "Reciprocity", "Regular", "Rich Club", "Shortest Paths", "Similarity Measures", "Simple Paths", "Small-world", "s metric", "Sparsifiers", "Structural holes", "Summarization", "Swap", "Threshold Graphs", "Tournament", "Traversal", "Tree", "Triads", "Vitality", "Voronoi cells", "Wiener index", "DiGraph\u2014Directed graphs with self loops", "AdjacencyView.copy", "AdjacencyView.get", "AdjacencyView.items", "AdjacencyView.keys", "AdjacencyView.values", "AtlasView.copy", "AtlasView.get", "AtlasView.items", "AtlasView.keys", "AtlasView.values", "FilterAdjacency.get", "FilterAdjacency.items", "FilterAdjacency.keys", "FilterAdjacency.values", "FilterAtlas.get", "FilterAtlas.items", "FilterAtlas.keys", "FilterAtlas.values", "FilterMultiAdjacency.get", "FilterMultiAdjacency.items", "FilterMultiAdjacency.keys", "FilterMultiAdjacency.values", "FilterMultiInner.get", "FilterMultiInner.items", "FilterMultiInner.keys", "FilterMultiInner.values", "MultiAdjacencyView.copy", "MultiAdjacencyView.get", "MultiAdjacencyView.items", "MultiAdjacencyView.keys", "MultiAdjacencyView.values", "UnionAdjacency.copy", "UnionAdjacency.get", "UnionAdjacency.items", "UnionAdjacency.keys", "UnionAdjacency.values", "UnionAtlas.copy", "UnionAtlas.get", "UnionAtlas.items", "UnionAtlas.keys", "UnionAtlas.values", "UnionMultiAdjacency.copy", "UnionMultiAdjacency.get", "UnionMultiAdjacency.items", "UnionMultiAdjacency.keys", "UnionMultiAdjacency.values", "UnionMultiInner.copy", "UnionMultiInner.get", "UnionMultiInner.items", "UnionMultiInner.keys", "UnionMultiInner.values", "DiGraph.__contains__", "DiGraph.__getitem__", "DiGraph.__init__", "DiGraph.__iter__", "DiGraph.__len__", "DiGraph.add_edge", "DiGraph.add_edges_from", "DiGraph.add_node", "DiGraph.add_nodes_from", "DiGraph.add_weighted_edges_from", "DiGraph.adj", "DiGraph.adjacency", "DiGraph.clear", "DiGraph.clear_edges", "DiGraph.copy", "DiGraph.degree", "DiGraph.edge_subgraph", "DiGraph.edges", "DiGraph.get_edge_data", "DiGraph.has_edge", "DiGraph.has_node", "DiGraph.in_degree", "DiGraph.in_edges", "DiGraph.nbunch_iter", "DiGraph.neighbors", "DiGraph.nodes", "DiGraph.number_of_edges", "DiGraph.number_of_nodes", "DiGraph.order", "DiGraph.out_degree", "DiGraph.out_edges", "DiGraph.pred", "DiGraph.predecessors", "DiGraph.remove_edge", "DiGraph.remove_edges_from", "DiGraph.remove_node", "DiGraph.remove_nodes_from", "DiGraph.reverse", "DiGraph.size", "DiGraph.subgraph", "DiGraph.succ", "DiGraph.successors", "DiGraph.to_directed", "DiGraph.to_undirected", "DiGraph.update", "Graph.__contains__", "Graph.__getitem__", "Graph.__init__", "Graph.__iter__", "Graph.__len__", "Graph.add_edge", "Graph.add_edges_from", "Graph.add_node", "Graph.add_nodes_from", "Graph.add_weighted_edges_from", "Graph.adj", "Graph.adjacency", "Graph.clear", "Graph.clear_edges", "Graph.copy", "Graph.degree", "Graph.edge_subgraph", "Graph.edges", "Graph.get_edge_data", "Graph.has_edge", "Graph.has_node", "Graph.nbunch_iter", "Graph.neighbors", "Graph.nodes", "Graph.number_of_edges", "Graph.number_of_nodes", "Graph.order", "Graph.remove_edge", "Graph.remove_edges_from", "Graph.remove_node", "Graph.remove_nodes_from", "Graph.size", "Graph.subgraph", "Graph.to_directed", "Graph.to_undirected", "Graph.update", "MultiDiGraph.__contains__", "MultiDiGraph.__getitem__", "MultiDiGraph.__init__", "MultiDiGraph.__iter__", "MultiDiGraph.__len__", "MultiDiGraph.add_edge", "MultiDiGraph.add_edges_from", "MultiDiGraph.add_node", "MultiDiGraph.add_nodes_from", "MultiDiGraph.add_weighted_edges_from", "MultiDiGraph.adj", "MultiDiGraph.adjacency", "MultiDiGraph.clear", "MultiDiGraph.clear_edges", "MultiDiGraph.copy", "MultiDiGraph.degree", "MultiDiGraph.edge_subgraph", "MultiDiGraph.edges", "MultiDiGraph.get_edge_data", "MultiDiGraph.has_edge", "MultiDiGraph.has_node", "MultiDiGraph.in_degree", "MultiDiGraph.in_edges", "MultiDiGraph.nbunch_iter", "MultiDiGraph.neighbors", "MultiDiGraph.new_edge_key", "MultiDiGraph.nodes", "MultiDiGraph.number_of_edges", "MultiDiGraph.number_of_nodes", "MultiDiGraph.order", "MultiDiGraph.out_degree", "MultiDiGraph.out_edges", "MultiDiGraph.pred", "MultiDiGraph.predecessors", "MultiDiGraph.remove_edge", "MultiDiGraph.remove_edges_from", "MultiDiGraph.remove_node", "MultiDiGraph.remove_nodes_from", "MultiDiGraph.reverse", "MultiDiGraph.size", "MultiDiGraph.subgraph", "MultiDiGraph.succ", "MultiDiGraph.successors", "MultiDiGraph.to_directed", "MultiDiGraph.to_undirected", "MultiDiGraph.update", "MultiGraph.__contains__", "MultiGraph.__getitem__", "MultiGraph.__init__", "MultiGraph.__iter__", "MultiGraph.__len__", "MultiGraph.add_edge", "MultiGraph.add_edges_from", "MultiGraph.add_node", "MultiGraph.add_nodes_from", "MultiGraph.add_weighted_edges_from", "MultiGraph.adj", "MultiGraph.adjacency", "MultiGraph.clear", "MultiGraph.clear_edges", "MultiGraph.copy", "MultiGraph.degree", "MultiGraph.edge_subgraph", "MultiGraph.edges", "MultiGraph.get_edge_data", "MultiGraph.has_edge", "MultiGraph.has_node", "MultiGraph.nbunch_iter", "MultiGraph.neighbors", "MultiGraph.new_edge_key", "MultiGraph.nodes", "MultiGraph.number_of_edges", "MultiGraph.number_of_nodes", "MultiGraph.order", "MultiGraph.remove_edge", "MultiGraph.remove_edges_from", "MultiGraph.remove_node", "MultiGraph.remove_nodes_from", "MultiGraph.size", "MultiGraph.subgraph", "MultiGraph.to_directed", "MultiGraph.to_undirected", "MultiGraph.update", "_dispatch", "networkx.classes.coreviews.AdjacencyView", "networkx.classes.coreviews.AtlasView", "networkx.classes.coreviews.FilterAdjacency", "networkx.classes.coreviews.FilterAtlas", "networkx.classes.coreviews.FilterMultiAdjacency", "networkx.classes.coreviews.FilterMultiInner", "networkx.classes.coreviews.MultiAdjacencyView", "networkx.classes.coreviews.UnionAdjacency", "networkx.classes.coreviews.UnionAtlas", "networkx.classes.coreviews.UnionMultiAdjacency", "networkx.classes.coreviews.UnionMultiInner", "hide_diedges", "hide_edges", "hide_multidiedges", "hide_multiedges", "hide_nodes", "no_filter", "show_diedges", "show_edges", "show_multidiedges", "show_multiedges", "networkx.classes.filters.show_nodes", "generic_graph_view", "reverse_view", "subgraph_view", "Graph\u2014Undirected graphs with self loops", "Graph types", "MultiDiGraph\u2014Directed graphs with self loops and parallel edges", "MultiGraph\u2014Undirected graphs with self loops and parallel edges", "Converting to and from other data formats", "Drawing", "Exceptions", "Functions", "argmap.assemble", "argmap.compile", "argmap.signature", "MappedQueue.pop", "MappedQueue.push", "MappedQueue.remove", "MappedQueue.update", "add_cycle", "add_path", "add_star", "all_neighbors", "common_neighbors", "create_empty_copy", "degree", "degree_histogram", "density", "edge_subgraph", "edges", "freeze", "get_edge_attributes", "get_node_attributes", "induced_subgraph", "is_directed", "is_empty", "is_frozen", "is_negatively_weighted", "is_path", "is_weighted", "neighbors", "nodes", "nodes_with_selfloops", "non_edges", "non_neighbors", "number_of_edges", "number_of_nodes", "number_of_selfloops", "path_weight", "restricted_view", "reverse_view", "selfloop_edges", "set_edge_attributes", "set_node_attributes", "subgraph", "subgraph_view", "to_directed", "to_undirected", "from_dict_of_dicts", "from_dict_of_lists", "from_edgelist", "to_dict_of_dicts", "to_dict_of_lists", "to_edgelist", "to_networkx_graph", "from_numpy_array", "from_pandas_adjacency", "from_pandas_edgelist", "from_scipy_sparse_array", "to_numpy_array", "to_pandas_adjacency", "to_pandas_edgelist", "to_scipy_sparse_array", "bipartite_layout", "circular_layout", "kamada_kawai_layout", "multipartite_layout", "planar_layout", "random_layout", "rescale_layout", "rescale_layout_dict", "shell_layout", "spectral_layout", "spiral_layout", "spring_layout", "from_agraph", "graphviz_layout", "pygraphviz_layout", "read_dot", "to_agraph", "write_dot", "to_latex", "to_latex_raw", "write_latex", "from_pydot", "graphviz_layout", "pydot_layout", "read_dot", "to_pydot", "write_dot", "draw", "draw_circular", "draw_kamada_kawai", "draw_networkx", "draw_networkx_edge_labels", "draw_networkx_edges", "draw_networkx_labels", "draw_networkx_nodes", "draw_planar", "draw_random", "draw_shell", "draw_spectral", "draw_spring", "graph_atlas", "graph_atlas_g", "balanced_tree", "barbell_graph", "binomial_tree", "circulant_graph", "circular_ladder_graph", "complete_graph", "complete_multipartite_graph", "cycle_graph", "dorogovtsev_goltsev_mendes_graph", "empty_graph", "full_rary_tree", "ladder_graph", "lollipop_graph", "null_graph", "path_graph", "star_graph", "trivial_graph", "turan_graph", "wheel_graph", "random_cograph", "LFR_benchmark_graph", "caveman_graph", "connected_caveman_graph", "gaussian_random_partition_graph", "planted_partition_graph", "random_partition_graph", "relaxed_caveman_graph", "ring_of_cliques", "stochastic_block_model", "windmill_graph", "configuration_model", "degree_sequence_tree", "directed_configuration_model", "directed_havel_hakimi_graph", "expected_degree_graph", "havel_hakimi_graph", "random_degree_sequence_graph", "gn_graph", "gnc_graph", "gnr_graph", "random_k_out_graph", "scale_free_graph", "duplication_divergence_graph", "partial_duplication_graph", "ego_graph", "chordal_cycle_graph", "margulis_gabber_galil_graph", "paley_graph", "geographical_threshold_graph", "geometric_edges", "navigable_small_world_graph", "random_geometric_graph", "soft_random_geometric_graph", "thresholded_random_geometric_graph", "waxman_graph", "hkn_harary_graph", "hnm_harary_graph", "random_internet_as_graph", "general_random_intersection_graph", "k_random_intersection_graph", "uniform_random_intersection_graph", "interval_graph", "directed_joint_degree_graph", "is_valid_directed_joint_degree", "is_valid_joint_degree", "joint_degree_graph", "grid_2d_graph", "grid_graph", "hexagonal_lattice_graph", "hypercube_graph", "triangular_lattice_graph", "inverse_line_graph", "line_graph", "mycielski_graph", "mycielskian", "nonisomorphic_trees", "number_of_nonisomorphic_trees", "random_clustered_graph", "barabasi_albert_graph", "binomial_graph", "connected_watts_strogatz_graph", "dense_gnm_random_graph", "dual_barabasi_albert_graph", "erdos_renyi_graph", "extended_barabasi_albert_graph", "fast_gnp_random_graph", "gnm_random_graph", "gnp_random_graph", "newman_watts_strogatz_graph", "powerlaw_cluster_graph", "random_kernel_graph", "random_lobster", "random_powerlaw_tree", "random_powerlaw_tree_sequence", "random_regular_graph", "random_shell_graph", "watts_strogatz_graph", "LCF_graph", "bull_graph", "chvatal_graph", "cubical_graph", "desargues_graph", "diamond_graph", "dodecahedral_graph", "frucht_graph", "heawood_graph", "hoffman_singleton_graph", "house_graph", "house_x_graph", "icosahedral_graph", "krackhardt_kite_graph", "moebius_kantor_graph", "octahedral_graph", "pappus_graph", "petersen_graph", "sedgewick_maze_graph", "tetrahedral_graph", "truncated_cube_graph", "truncated_tetrahedron_graph", "tutte_graph", "davis_southern_women_graph", "florentine_families_graph", "karate_club_graph", "les_miserables_graph", "spectral_graph_forge", "stochastic_graph", "sudoku_graph", "prefix_tree", "random_tree", "triad_graph", "algebraic_connectivity", "fiedler_vector", "spectral_ordering", "attr_matrix", "attr_sparse_matrix", "bethe_hessian_matrix", "adjacency_matrix", "incidence_matrix", "directed_combinatorial_laplacian_matrix", "directed_laplacian_matrix", "laplacian_matrix", "normalized_laplacian_matrix", "directed_modularity_matrix", "modularity_matrix", "adjacency_spectrum", "bethe_hessian_spectrum", "laplacian_spectrum", "modularity_spectrum", "normalized_laplacian_spectrum", "convert_node_labels_to_integers", "relabel_nodes", "networkx.utils.decorators.argmap", "nodes_or_number", "not_implemented_for", "np_random_state", "open_file", "py_random_state", "networkx.utils.mapped_queue.MappedQueue", "arbitrary_element", "create_py_random_state", "create_random_state", "dict_to_numpy_array", "edges_equal", "flatten", "graphs_equal", "groups", "make_list_of_ints", "nodes_equal", "pairwise", "cumulative_distribution", "discrete_sequence", "powerlaw_sequence", "random_weighted_sample", "weighted_choice", "zipf_rv", "cuthill_mckee_ordering", "reverse_cuthill_mckee_ordering", "UnionFind.union", "Graph generators", "Glossary", "Reference", "Introduction", "Linear algebra", "Randomness", "Adjacency List", "Edge List", "generate_adjlist", "parse_adjlist", "read_adjlist", "write_adjlist", "generate_edgelist", "parse_edgelist", "read_edgelist", "read_weighted_edgelist", "write_edgelist", "write_weighted_edgelist", "generate_gexf", "read_gexf", "relabel_gexf_graph", "write_gexf", "generate_gml", "literal_destringizer", "literal_stringizer", "parse_gml", "read_gml", "write_gml", "from_graph6_bytes", "read_graph6", "to_graph6_bytes", "write_graph6", "generate_graphml", "parse_graphml", "read_graphml", "write_graphml", "adjacency_data", "adjacency_graph", "cytoscape_data", "cytoscape_graph", "node_link_data", "node_link_graph", "tree_data", "tree_graph", "parse_leda", "read_leda", "generate_multiline_adjlist", "parse_multiline_adjlist", "read_multiline_adjlist", "write_multiline_adjlist", "generate_pajek", "parse_pajek", "read_pajek", "write_pajek", "from_sparse6_bytes", "read_sparse6", "to_sparse6_bytes", "write_sparse6", "generate_network_text", "write_network_text", "GEXF", "GML", "GraphML", "Reading and writing graphs", "JSON", "LEDA", "Matrix Market", "Multiline Adjacency List", "Pajek", "SparseGraph6", "Network Text", "Relabeling nodes", "Utilities", "NetworkX 0.99", "NetworkX 1.0", "NetworkX 1.10", "NetworkX 1.11", "NetworkX 1.4", "NetworkX 1.5", "NetworkX 1.6", "NetworkX 1.7", "NetworkX 1.8", "NetworkX 1.9", "Releases", "Migration guide from 1.X to 2.0", "Migration guide from 2.X to 3.0", "Old Release Log", "NetworkX 2.0", "NetworkX 2.1", "NetworkX 2.2", "NetworkX 2.3", "NetworkX 2.4", "NetworkX 2.5", "NetworkX 2.6", "NetworkX 2.7", "NetworkX 2.7.1", "NetworkX 2.8", "NetworkX 2.8.1", "NetworkX 2.8.2", "NetworkX 2.8.3", "NetworkX 2.8.4", "NetworkX 2.8.5", "NetworkX 2.8.6", "NetworkX 2.8.7", "NetworkX 2.8.8", "NetworkX 3.0", "3.1 (unreleased)", "Tutorial"], "terms": {"mayavi2": [0, 3, 87], "basic": [0, 3, 98, 106, 111, 261, 262, 263, 290, 299, 308, 760, 792, 1045, 1171, 1181, 1186, 1307, 1331, 1389, 1411, 1416, 1434, 1436], "matplotlib": [0, 3, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 77, 81, 82, 83, 84, 85, 87, 89, 90, 94, 97, 98, 108, 1136, 1139, 1140, 1141, 1142, 1143, 1331, 1332, 1402, 1403, 1410, 1414, 1415, 1416, 1419, 1421, 1422, 1436], "click": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94], "here": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 92, 94, 101, 103, 105, 133, 231, 232, 239, 244, 281, 292, 293, 317, 333, 343, 358, 451, 466, 508, 579, 590, 620, 621, 681, 693, 702, 750, 753, 1045, 1049, 1105, 1171, 1183, 1198, 1199, 1203, 1214, 1302, 1306, 1313, 1315, 1318, 1332, 1407, 1408, 1413, 1416, 1436], "download": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 112, 316, 1332, 1436], "full": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 100, 101, 103, 106, 112, 116, 168, 281, 297, 302, 303, 304, 309, 310, 324, 437, 438, 514, 603, 741, 866, 911, 947, 993, 1041, 1136, 1161, 1170, 1409, 1410, 1415, 1420, 1421, 1423], "exampl": [1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 54, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 87, 89, 90, 95, 96, 97, 100, 102, 103, 104, 105, 106, 108, 110, 116, 126, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 168, 169, 171, 172, 173, 176, 177, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 199, 200, 203, 205, 208, 214, 215, 216, 217, 221, 228, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 261, 262, 263, 264, 266, 267, 268, 269, 273, 282, 285, 286, 287, 288, 289, 290, 291, 294, 295, 296, 298, 299, 300, 301, 304, 305, 312, 313, 314, 315, 322, 324, 325, 326, 327, 329, 330, 333, 334, 335, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 376, 378, 382, 385, 386, 387, 389, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 441, 442, 445, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 487, 488, 489, 490, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 524, 525, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 614, 615, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 676, 677, 678, 679, 680, 681, 682, 692, 693, 695, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 723, 730, 731, 732, 733, 736, 737, 738, 739, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 772, 777, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 883, 884, 885, 886, 888, 889, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 957, 958, 959, 960, 961, 962, 965, 966, 967, 968, 970, 971, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 999, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1038, 1039, 1040, 1041, 1042, 1043, 1046, 1055, 1056, 1057, 1059, 1064, 1066, 1067, 1068, 1069, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1125, 1127, 1128, 1129, 1130, 1131, 1132, 1134, 1136, 1139, 1140, 1141, 1142, 1143, 1150, 1152, 1154, 1156, 1157, 1160, 1163, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1187, 1188, 1190, 1192, 1195, 1199, 1200, 1202, 1203, 1204, 1205, 1212, 1213, 1216, 1218, 1223, 1228, 1241, 1243, 1244, 1246, 1248, 1273, 1275, 1276, 1277, 1278, 1279, 1281, 1282, 1284, 1285, 1286, 1291, 1293, 1294, 1297, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1316, 1325, 1326, 1327, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1381, 1382, 1383, 1384, 1385, 1386, 1388, 1389, 1390, 1391, 1392, 1393, 1396, 1401, 1405, 1408, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "code": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 94, 95, 96, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 116, 200, 333, 353, 459, 478, 662, 669, 678, 681, 731, 733, 736, 738, 889, 927, 971, 1010, 1041, 1048, 1049, 1050, 1120, 1127, 1128, 1129, 1171, 1224, 1302, 1331, 1332, 1334, 1351, 1354, 1355, 1356, 1390, 1408, 1411, 1412, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1430, 1434, 1436], "import": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 95, 98, 100, 104, 107, 113, 116, 126, 208, 214, 215, 216, 217, 221, 228, 230, 231, 232, 252, 253, 254, 255, 256, 257, 261, 262, 263, 264, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 285, 286, 287, 288, 289, 290, 291, 316, 325, 326, 332, 343, 348, 353, 376, 378, 382, 385, 386, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 425, 426, 427, 428, 462, 496, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 579, 593, 594, 678, 680, 681, 682, 697, 698, 699, 700, 701, 702, 704, 713, 736, 738, 762, 764, 772, 777, 791, 894, 930, 976, 1013, 1044, 1045, 1101, 1102, 1103, 1104, 1105, 1106, 1116, 1129, 1136, 1139, 1141, 1171, 1199, 1202, 1203, 1204, 1218, 1301, 1302, 1304, 1316, 1326, 1327, 1332, 1334, 1358, 1360, 1365, 1366, 1369, 1370, 1371, 1372, 1384, 1386, 1390, 1395, 1401, 1404, 1405, 1408, 1411, 1412, 1413, 1414, 1416, 1417, 1420, 1421, 1422, 1423, 1428, 1434, 1436], "networkx": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 93, 94, 95, 96, 97, 99, 100, 101, 102, 103, 104, 105, 107, 108, 109, 110, 111, 112, 113, 116, 126, 142, 145, 152, 157, 166, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 274, 275, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 336, 337, 338, 339, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 376, 377, 378, 381, 382, 383, 385, 386, 387, 388, 389, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 480, 481, 482, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 522, 523, 524, 525, 526, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 677, 678, 679, 680, 681, 682, 684, 686, 688, 689, 690, 691, 692, 693, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 723, 730, 731, 732, 733, 734, 736, 737, 738, 739, 741, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 760, 762, 764, 772, 791, 793, 798, 852, 855, 857, 864, 897, 900, 902, 909, 933, 936, 938, 945, 979, 982, 984, 991, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1055, 1056, 1057, 1058, 1059, 1060, 1062, 1064, 1066, 1067, 1068, 1069, 1071, 1072, 1073, 1074, 1075, 1079, 1080, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1150, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1188, 1189, 1190, 1192, 1195, 1196, 1197, 1198, 1200, 1205, 1206, 1207, 1208, 1212, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1225, 1226, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1277, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1316, 1326, 1327, 1331, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1387, 1393, 1395, 1396, 1401, 1412, 1413, 1414, 1435, 1436], "nx": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 98, 102, 103, 104, 116, 126, 133, 144, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 168, 169, 171, 172, 173, 176, 177, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 199, 200, 203, 205, 208, 214, 215, 216, 217, 221, 228, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 261, 262, 263, 264, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 282, 285, 286, 287, 288, 289, 290, 291, 294, 295, 296, 300, 301, 305, 312, 313, 314, 315, 322, 325, 326, 327, 329, 330, 333, 334, 335, 339, 340, 341, 342, 343, 344, 345, 346, 348, 350, 351, 352, 353, 356, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 376, 378, 382, 385, 386, 387, 389, 391, 392, 393, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 441, 442, 445, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 487, 488, 489, 490, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 524, 525, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 586, 587, 589, 590, 591, 592, 593, 594, 595, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 676, 677, 678, 679, 680, 681, 682, 690, 692, 693, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 763, 764, 772, 777, 791, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 883, 884, 885, 886, 888, 889, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 957, 958, 959, 960, 961, 962, 965, 966, 967, 968, 970, 971, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 999, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1059, 1064, 1066, 1067, 1068, 1069, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1125, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1190, 1192, 1196, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1212, 1213, 1216, 1217, 1219, 1221, 1222, 1223, 1228, 1230, 1234, 1238, 1241, 1246, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1273, 1275, 1277, 1278, 1279, 1281, 1282, 1284, 1285, 1286, 1287, 1291, 1293, 1294, 1297, 1301, 1303, 1305, 1307, 1309, 1325, 1326, 1327, 1329, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1395, 1402, 1403, 1405, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1434], "numpi": [1, 2, 7, 13, 15, 25, 28, 32, 35, 55, 58, 59, 94, 95, 96, 97, 99, 108, 110, 112, 239, 244, 283, 291, 567, 617, 631, 635, 678, 683, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1100, 1101, 1103, 1105, 1106, 1108, 1114, 1115, 1116, 1120, 1275, 1282, 1283, 1284, 1285, 1287, 1289, 1290, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1305, 1307, 1310, 1311, 1312, 1331, 1334, 1395, 1406, 1407, 1410, 1411, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1429, 1434], "np": [1, 2, 7, 13, 15, 25, 28, 35, 55, 58, 59, 94, 96, 104, 113, 115, 122, 213, 297, 302, 303, 304, 309, 310, 324, 424, 678, 764, 782, 1044, 1101, 1103, 1105, 1106, 1116, 1307, 1310, 1326, 1327, 1414, 1418, 1420, 1421, 1423, 1426], "from": [1, 2, 5, 6, 7, 8, 9, 11, 13, 14, 21, 26, 27, 31, 35, 39, 40, 41, 42, 46, 51, 53, 54, 57, 60, 63, 64, 65, 66, 67, 68, 69, 70, 72, 75, 76, 77, 78, 83, 85, 87, 89, 90, 92, 93, 95, 96, 97, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 116, 126, 133, 142, 143, 152, 153, 154, 155, 158, 159, 163, 164, 169, 181, 182, 185, 186, 190, 192, 193, 194, 196, 202, 208, 209, 210, 211, 214, 216, 217, 218, 221, 230, 231, 232, 235, 239, 244, 250, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 266, 267, 268, 270, 271, 272, 273, 274, 275, 277, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 298, 299, 300, 301, 304, 307, 308, 315, 317, 319, 320, 321, 323, 324, 325, 326, 327, 329, 331, 333, 334, 335, 340, 343, 344, 347, 348, 349, 352, 359, 360, 372, 376, 378, 382, 385, 386, 389, 391, 392, 396, 398, 399, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 424, 425, 426, 427, 428, 433, 441, 445, 451, 452, 455, 456, 457, 459, 462, 463, 466, 467, 468, 469, 470, 471, 475, 479, 480, 481, 483, 484, 490, 496, 497, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 514, 515, 519, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 561, 579, 585, 586, 587, 588, 589, 590, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 610, 620, 621, 628, 629, 631, 633, 634, 635, 636, 637, 638, 641, 642, 643, 644, 645, 646, 652, 653, 654, 655, 656, 657, 658, 659, 660, 662, 663, 664, 666, 669, 670, 671, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 725, 726, 727, 728, 730, 731, 733, 734, 735, 736, 738, 741, 749, 754, 762, 763, 764, 769, 772, 777, 788, 791, 793, 798, 855, 856, 858, 859, 862, 863, 867, 873, 874, 875, 876, 880, 882, 883, 884, 886, 891, 894, 900, 901, 903, 904, 907, 908, 912, 916, 918, 919, 922, 923, 925, 930, 936, 937, 939, 940, 943, 944, 948, 954, 955, 957, 958, 962, 964, 965, 966, 968, 973, 976, 982, 983, 985, 986, 989, 990, 994, 998, 1001, 1002, 1005, 1006, 1008, 1013, 1040, 1041, 1042, 1043, 1045, 1048, 1049, 1053, 1055, 1056, 1067, 1068, 1069, 1088, 1089, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1115, 1118, 1119, 1121, 1124, 1125, 1127, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1139, 1141, 1143, 1149, 1151, 1156, 1158, 1160, 1163, 1170, 1171, 1174, 1178, 1179, 1180, 1181, 1183, 1186, 1191, 1192, 1194, 1195, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1212, 1215, 1217, 1218, 1222, 1223, 1229, 1232, 1233, 1235, 1237, 1241, 1242, 1243, 1244, 1245, 1249, 1257, 1259, 1270, 1275, 1278, 1279, 1284, 1285, 1287, 1293, 1300, 1301, 1308, 1309, 1316, 1317, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1329, 1331, 1332, 1333, 1334, 1339, 1343, 1344, 1348, 1349, 1354, 1355, 1356, 1357, 1358, 1362, 1363, 1365, 1366, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1377, 1380, 1381, 1383, 1384, 1387, 1388, 1390, 1395, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1430, 1433, 1434], "mayavi": [1, 1422], "mlab": 1, "some": [1, 20, 36, 56, 64, 66, 68, 89, 92, 93, 94, 96, 100, 102, 103, 106, 108, 112, 124, 133, 165, 185, 208, 212, 222, 256, 283, 286, 293, 298, 299, 306, 316, 332, 348, 349, 376, 382, 387, 425, 429, 455, 469, 485, 498, 506, 507, 510, 511, 515, 516, 517, 518, 558, 559, 560, 567, 568, 590, 608, 621, 693, 702, 763, 782, 788, 798, 875, 894, 918, 930, 957, 976, 1001, 1013, 1040, 1041, 1042, 1043, 1045, 1088, 1089, 1105, 1106, 1108, 1120, 1122, 1123, 1126, 1131, 1132, 1161, 1171, 1181, 1183, 1186, 1207, 1223, 1228, 1231, 1247, 1278, 1329, 1332, 1334, 1365, 1369, 1390, 1402, 1403, 1404, 1405, 1407, 1408, 1411, 1412, 1413, 1415, 1416, 1418, 1419, 1420, 1422, 1425, 1429, 1436], "graph": [1, 2, 4, 5, 6, 7, 9, 10, 13, 14, 18, 19, 20, 23, 24, 25, 26, 27, 28, 30, 32, 33, 34, 35, 36, 37, 38, 39, 42, 43, 44, 46, 48, 50, 51, 53, 54, 57, 60, 63, 64, 65, 66, 67, 69, 70, 73, 75, 76, 77, 78, 81, 83, 84, 85, 88, 89, 91, 94, 97, 98, 99, 102, 104, 106, 108, 110, 111, 112, 113, 115, 116, 117, 120, 121, 122, 123, 128, 129, 130, 131, 133, 135, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152, 153, 157, 158, 159, 160, 161, 162, 163, 164, 166, 167, 168, 169, 171, 172, 173, 174, 175, 177, 179, 180, 181, 182, 185, 186, 187, 188, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 530, 537, 540, 547, 551, 552, 553, 557, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 748, 749, 751, 752, 753, 754, 755, 759, 760, 762, 763, 765, 768, 769, 771, 773, 774, 778, 779, 782, 784, 786, 788, 789, 791, 792, 793, 794, 796, 797, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 872, 873, 874, 875, 876, 877, 878, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 953, 954, 955, 956, 957, 958, 959, 960, 962, 963, 964, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1038, 1039, 1046, 1055, 1056, 1057, 1058, 1059, 1060, 1062, 1063, 1064, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1304, 1306, 1315, 1326, 1327, 1330, 1331, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1397, 1398, 1399, 1401, 1402, 1404, 1406, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1432, 1433, 1434], "try": [1, 35, 72, 85, 89, 93, 94, 100, 102, 105, 106, 107, 782, 933, 979, 1042, 1043, 1046, 1048, 1066, 1085, 1097, 1100, 1109, 1110, 1112, 1117, 1171, 1287, 1300, 1302, 1306, 1413, 1420, 1422], "h": [1, 6, 7, 16, 17, 21, 26, 33, 35, 45, 51, 62, 68, 72, 92, 158, 166, 168, 200, 203, 205, 209, 315, 329, 343, 344, 363, 393, 413, 414, 418, 419, 420, 421, 433, 439, 455, 492, 513, 521, 523, 566, 587, 589, 590, 592, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 672, 677, 688, 707, 708, 709, 710, 711, 741, 769, 798, 858, 864, 866, 889, 892, 893, 903, 909, 911, 927, 928, 929, 939, 945, 947, 971, 974, 975, 985, 991, 993, 1010, 1011, 1012, 1040, 1042, 1043, 1045, 1064, 1069, 1085, 1088, 1123, 1132, 1151, 1170, 1179, 1183, 1199, 1222, 1223, 1231, 1245, 1247, 1257, 1275, 1286, 1301, 1308, 1309, 1329, 1349, 1355, 1362, 1366, 1369, 1370, 1372, 1388, 1395, 1402, 1403, 1413, 1418, 1420, 1421, 1425, 1429, 1434, 1436], "krackhardt_kite_graph": [1, 12], "add_edg": [1, 8, 11, 22, 26, 27, 35, 42, 45, 46, 47, 68, 69, 70, 72, 75, 85, 90, 103, 153, 159, 169, 177, 186, 190, 199, 203, 205, 215, 238, 247, 248, 269, 285, 315, 329, 389, 391, 392, 396, 400, 431, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 524, 525, 557, 679, 692, 693, 736, 737, 738, 739, 742, 743, 744, 745, 748, 750, 798, 856, 859, 867, 872, 876, 880, 888, 892, 893, 901, 904, 912, 917, 919, 926, 928, 929, 937, 940, 946, 948, 949, 950, 952, 961, 962, 965, 966, 970, 974, 975, 983, 986, 994, 995, 996, 999, 1005, 1006, 1009, 1011, 1012, 1038, 1040, 1042, 1043, 1066, 1073, 1075, 1078, 1083, 1086, 1087, 1097, 1105, 1106, 1108, 1284, 1285, 1301, 1332, 1345, 1346, 1388, 1415, 1416, 1436], "b": [1, 10, 11, 12, 15, 16, 17, 28, 31, 36, 47, 58, 62, 68, 69, 83, 90, 94, 98, 111, 116, 171, 199, 230, 231, 232, 253, 254, 270, 272, 273, 274, 275, 276, 277, 283, 285, 286, 287, 288, 289, 303, 306, 310, 328, 354, 379, 431, 445, 454, 455, 456, 459, 462, 478, 479, 480, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 547, 575, 577, 590, 593, 594, 620, 621, 628, 686, 692, 693, 695, 724, 725, 726, 727, 728, 734, 742, 743, 744, 745, 763, 772, 793, 868, 888, 913, 917, 926, 970, 999, 1009, 1097, 1103, 1107, 1160, 1179, 1192, 1198, 1199, 1205, 1211, 1213, 1214, 1216, 1222, 1223, 1240, 1241, 1271, 1280, 1293, 1294, 1301, 1302, 1316, 1332, 1335, 1344, 1350, 1351, 1353, 1357, 1358, 1359, 1360, 1369, 1370, 1383, 1384, 1385, 1386, 1387, 1396, 1402, 1415], "c": [1, 5, 6, 10, 12, 16, 17, 26, 35, 36, 47, 59, 62, 68, 69, 70, 71, 72, 81, 83, 89, 92, 94, 103, 111, 112, 113, 116, 129, 133, 169, 190, 199, 212, 214, 218, 230, 231, 232, 236, 252, 261, 262, 263, 298, 300, 301, 306, 312, 316, 321, 323, 325, 326, 327, 332, 341, 346, 348, 349, 350, 352, 354, 356, 357, 360, 373, 374, 376, 378, 382, 385, 386, 387, 388, 390, 392, 393, 394, 401, 407, 408, 409, 431, 434, 435, 444, 449, 450, 453, 454, 455, 456, 473, 479, 480, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 521, 547, 557, 566, 568, 569, 572, 573, 575, 590, 596, 600, 608, 620, 621, 635, 672, 677, 678, 679, 680, 684, 686, 687, 689, 692, 693, 694, 695, 734, 750, 754, 762, 763, 764, 867, 880, 888, 912, 926, 948, 962, 970, 994, 1009, 1103, 1105, 1107, 1149, 1150, 1160, 1181, 1192, 1207, 1208, 1209, 1213, 1214, 1222, 1223, 1228, 1241, 1275, 1278, 1280, 1284, 1286, 1301, 1302, 1308, 1316, 1332, 1335, 1344, 1357, 1387, 1394, 1396, 1415, 1417, 1420], "d": [1, 6, 7, 8, 12, 16, 17, 20, 26, 28, 35, 36, 40, 44, 46, 47, 50, 57, 62, 63, 65, 66, 68, 70, 71, 83, 84, 89, 98, 102, 106, 108, 111, 113, 116, 129, 153, 169, 177, 190, 200, 203, 205, 208, 211, 218, 221, 230, 231, 232, 238, 240, 241, 242, 243, 245, 246, 254, 258, 259, 260, 268, 287, 289, 300, 321, 323, 354, 359, 363, 364, 375, 382, 383, 424, 429, 431, 433, 434, 435, 453, 454, 455, 456, 462, 464, 474, 479, 480, 481, 483, 484, 485, 486, 496, 498, 500, 501, 502, 504, 505, 506, 507, 508, 509, 510, 511, 512, 515, 516, 519, 520, 547, 569, 571, 572, 573, 590, 594, 601, 605, 620, 621, 628, 635, 655, 656, 657, 662, 663, 664, 669, 670, 671, 677, 680, 683, 686, 692, 693, 695, 706, 708, 709, 710, 713, 736, 738, 750, 760, 763, 800, 801, 802, 803, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 826, 827, 828, 829, 831, 832, 833, 834, 836, 837, 838, 839, 841, 842, 843, 844, 846, 847, 848, 849, 856, 867, 872, 880, 889, 892, 893, 894, 901, 912, 927, 928, 929, 930, 937, 948, 953, 962, 971, 974, 975, 976, 983, 994, 1010, 1011, 1012, 1013, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1044, 1045, 1063, 1094, 1095, 1097, 1100, 1103, 1170, 1172, 1173, 1181, 1183, 1184, 1186, 1187, 1188, 1190, 1195, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1222, 1239, 1245, 1246, 1274, 1286, 1291, 1292, 1306, 1308, 1309, 1312, 1313, 1316, 1329, 1331, 1332, 1335, 1343, 1344, 1370, 1396, 1402, 1413, 1421, 1434, 1436], "grid_2d_graph": [1, 15, 21, 33, 44, 77, 430, 1303, 1329, 1415, 1421], "4": [1, 6, 8, 9, 10, 12, 13, 14, 15, 20, 21, 22, 27, 28, 29, 30, 33, 34, 36, 37, 39, 40, 44, 45, 46, 55, 58, 63, 64, 65, 66, 67, 68, 69, 71, 75, 78, 89, 90, 94, 97, 99, 102, 103, 106, 111, 116, 121, 126, 133, 153, 157, 158, 159, 161, 163, 164, 166, 168, 171, 172, 186, 194, 196, 199, 200, 208, 211, 216, 217, 230, 231, 232, 233, 240, 241, 242, 245, 251, 252, 253, 254, 255, 256, 257, 262, 263, 264, 266, 267, 268, 269, 279, 282, 285, 286, 287, 288, 289, 290, 291, 298, 301, 312, 313, 314, 316, 321, 325, 326, 327, 328, 332, 334, 335, 339, 340, 341, 342, 344, 345, 348, 358, 359, 360, 362, 363, 364, 373, 374, 376, 378, 382, 385, 386, 387, 389, 391, 393, 394, 396, 397, 398, 399, 401, 402, 404, 405, 406, 407, 408, 409, 424, 425, 426, 427, 428, 430, 431, 445, 451, 453, 454, 455, 457, 463, 464, 466, 472, 473, 474, 475, 476, 477, 478, 483, 484, 496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 519, 520, 557, 566, 568, 576, 578, 579, 580, 581, 582, 583, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 602, 603, 608, 610, 614, 615, 617, 620, 621, 624, 625, 626, 627, 628, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 674, 679, 680, 681, 682, 683, 685, 686, 688, 692, 695, 696, 707, 708, 709, 710, 711, 712, 714, 715, 716, 717, 718, 723, 730, 731, 732, 733, 736, 737, 738, 739, 741, 742, 743, 744, 745, 746, 747, 749, 751, 752, 754, 762, 763, 764, 772, 777, 798, 850, 851, 852, 853, 854, 856, 857, 858, 859, 861, 862, 863, 864, 866, 868, 869, 876, 884, 886, 888, 889, 894, 895, 896, 897, 898, 899, 901, 902, 903, 904, 906, 907, 908, 909, 910, 911, 913, 914, 917, 919, 922, 923, 925, 926, 927, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 947, 953, 966, 968, 970, 971, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 993, 999, 1006, 1008, 1009, 1010, 1013, 1039, 1040, 1042, 1043, 1045, 1049, 1059, 1064, 1066, 1069, 1073, 1075, 1085, 1091, 1103, 1105, 1106, 1108, 1109, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1131, 1132, 1141, 1154, 1156, 1157, 1166, 1175, 1178, 1180, 1187, 1196, 1198, 1200, 1205, 1212, 1216, 1218, 1223, 1232, 1239, 1250, 1253, 1254, 1261, 1267, 1269, 1277, 1278, 1279, 1291, 1293, 1297, 1301, 1302, 1326, 1327, 1329, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1345, 1347, 1350, 1355, 1356, 1361, 1362, 1364, 1375, 1377, 1378, 1381, 1382, 1387, 1388, 1395, 1402, 1403, 1407, 1409, 1412, 1413, 1414, 1416, 1417, 1421, 1423, 1425, 1428], "5": [1, 5, 6, 8, 9, 10, 11, 12, 13, 15, 20, 21, 22, 25, 26, 28, 29, 34, 35, 36, 37, 39, 40, 45, 47, 56, 58, 59, 63, 64, 65, 66, 67, 69, 72, 76, 77, 78, 82, 84, 85, 90, 96, 102, 103, 106, 111, 116, 126, 133, 152, 153, 159, 166, 168, 169, 190, 208, 211, 216, 224, 233, 240, 241, 242, 244, 245, 251, 262, 263, 279, 285, 287, 289, 295, 297, 301, 312, 313, 314, 325, 326, 327, 329, 333, 334, 335, 340, 341, 342, 344, 345, 348, 357, 358, 359, 360, 361, 362, 373, 374, 376, 378, 382, 385, 387, 388, 391, 392, 393, 402, 404, 405, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 424, 425, 426, 427, 428, 430, 431, 445, 451, 453, 457, 458, 463, 464, 466, 472, 473, 474, 475, 476, 477, 478, 480, 482, 483, 484, 487, 490, 492, 494, 496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 547, 557, 558, 559, 560, 566, 569, 571, 572, 573, 575, 576, 580, 581, 582, 583, 584, 586, 588, 590, 591, 592, 595, 601, 602, 604, 610, 614, 615, 619, 620, 621, 627, 628, 632, 635, 637, 638, 639, 640, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 677, 679, 680, 682, 683, 684, 692, 697, 705, 707, 708, 709, 710, 711, 712, 714, 716, 717, 718, 730, 731, 732, 733, 744, 745, 749, 752, 754, 762, 763, 798, 855, 856, 859, 864, 866, 867, 880, 894, 900, 901, 904, 909, 911, 912, 930, 936, 937, 940, 945, 947, 948, 949, 962, 976, 982, 983, 986, 991, 993, 994, 995, 1013, 1039, 1040, 1042, 1043, 1045, 1059, 1064, 1066, 1073, 1085, 1091, 1097, 1103, 1105, 1109, 1116, 1117, 1121, 1125, 1130, 1134, 1137, 1138, 1140, 1141, 1144, 1145, 1146, 1147, 1148, 1154, 1157, 1171, 1175, 1176, 1177, 1179, 1180, 1188, 1190, 1197, 1198, 1199, 1202, 1204, 1205, 1221, 1222, 1223, 1228, 1248, 1249, 1251, 1252, 1253, 1254, 1256, 1257, 1258, 1261, 1262, 1264, 1266, 1267, 1273, 1279, 1281, 1282, 1291, 1293, 1297, 1302, 1329, 1332, 1337, 1338, 1341, 1375, 1376, 1387, 1388, 1395, 1401, 1402, 1403, 1405, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1422, 1423, 1424, 1425, 1434], "cycle_graph": [1, 2, 38, 215, 233, 251, 290, 295, 296, 363, 364, 401, 407, 408, 482, 586, 587, 589, 608, 610, 620, 621, 654, 660, 665, 673, 674, 676, 678, 681, 682, 736, 737, 738, 739, 753, 1388], "20": [1, 2, 5, 6, 14, 18, 22, 25, 28, 30, 33, 35, 45, 47, 64, 65, 66, 67, 71, 78, 82, 89, 103, 110, 208, 242, 245, 273, 314, 332, 348, 385, 386, 444, 449, 450, 503, 557, 600, 690, 894, 930, 976, 1013, 1088, 1089, 1102, 1103, 1106, 1171, 1199, 1202, 1246, 1252, 1254, 1329, 1408, 1415, 1416, 1422, 1436], "reorder": [1, 1420], "node": [1, 2, 6, 7, 8, 9, 10, 11, 12, 14, 16, 17, 20, 22, 24, 26, 28, 29, 31, 32, 33, 34, 35, 36, 37, 39, 40, 42, 44, 45, 46, 47, 48, 50, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 70, 72, 75, 78, 81, 83, 84, 85, 87, 89, 90, 98, 102, 103, 108, 113, 116, 117, 121, 124, 129, 133, 139, 142, 145, 148, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 181, 182, 183, 184, 186, 187, 188, 189, 190, 191, 192, 193, 195, 196, 197, 198, 200, 201, 202, 203, 205, 207, 208, 211, 214, 215, 216, 217, 218, 220, 221, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 252, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 338, 339, 340, 341, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 396, 398, 400, 401, 402, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 426, 427, 428, 429, 430, 431, 433, 434, 435, 436, 437, 438, 439, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 462, 463, 466, 467, 468, 471, 472, 473, 475, 476, 478, 481, 483, 484, 485, 486, 487, 488, 489, 490, 491, 493, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 518, 520, 521, 524, 525, 526, 527, 528, 537, 538, 547, 550, 551, 552, 555, 556, 557, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 616, 617, 623, 627, 628, 629, 630, 631, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 685, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 699, 700, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 730, 731, 732, 733, 734, 736, 737, 738, 739, 741, 747, 750, 751, 752, 753, 754, 755, 760, 761, 762, 763, 764, 781, 782, 788, 791, 792, 793, 850, 851, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 876, 877, 878, 879, 880, 881, 882, 883, 885, 886, 887, 889, 890, 891, 892, 893, 894, 895, 896, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 919, 920, 921, 922, 924, 925, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 958, 959, 960, 961, 962, 963, 964, 965, 967, 968, 969, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1002, 1003, 1004, 1005, 1007, 1008, 1010, 1011, 1012, 1013, 1022, 1023, 1025, 1030, 1036, 1039, 1041, 1044, 1045, 1046, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1063, 1064, 1065, 1066, 1068, 1069, 1071, 1074, 1076, 1078, 1080, 1082, 1083, 1084, 1085, 1087, 1088, 1089, 1090, 1091, 1094, 1097, 1098, 1099, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1173, 1174, 1176, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1223, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1273, 1275, 1276, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1297, 1300, 1301, 1302, 1303, 1313, 1315, 1318, 1326, 1327, 1329, 1330, 1331, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1359, 1360, 1362, 1363, 1365, 1367, 1368, 1369, 1370, 1371, 1375, 1376, 1377, 1378, 1382, 1385, 1386, 1387, 1388, 1393, 1396, 1401, 1402, 1404, 1406, 1407, 1408, 1410, 1411, 1413, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1428, 1430, 1431, 1432, 1433, 1434], "0": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 89, 90, 91, 94, 97, 99, 101, 102, 103, 104, 106, 116, 126, 145, 152, 153, 157, 158, 159, 161, 162, 164, 167, 168, 169, 171, 172, 173, 176, 185, 186, 189, 190, 193, 195, 196, 199, 200, 203, 205, 208, 214, 215, 216, 221, 224, 228, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 248, 249, 251, 252, 253, 254, 257, 261, 262, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 284, 285, 286, 287, 289, 290, 291, 294, 295, 296, 297, 298, 299, 300, 301, 305, 306, 312, 313, 314, 315, 317, 322, 325, 326, 327, 329, 330, 331, 333, 334, 335, 338, 339, 340, 341, 346, 348, 350, 351, 352, 353, 356, 357, 358, 359, 360, 361, 362, 364, 373, 374, 376, 378, 382, 383, 385, 386, 387, 389, 392, 393, 396, 399, 400, 402, 404, 405, 406, 413, 414, 418, 419, 420, 421, 422, 423, 425, 426, 441, 442, 445, 446, 451, 452, 453, 454, 455, 458, 460, 461, 464, 469, 478, 479, 480, 481, 487, 488, 489, 490, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 519, 525, 554, 555, 556, 558, 559, 560, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 586, 587, 588, 589, 590, 591, 593, 594, 595, 597, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 617, 618, 619, 620, 621, 627, 628, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 684, 690, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 723, 730, 731, 732, 733, 736, 737, 738, 739, 741, 742, 743, 748, 750, 751, 752, 753, 754, 762, 763, 764, 772, 791, 851, 853, 855, 856, 857, 858, 859, 861, 863, 865, 866, 867, 868, 869, 870, 871, 875, 876, 879, 880, 883, 885, 886, 888, 889, 892, 893, 894, 896, 898, 900, 901, 902, 903, 904, 906, 908, 910, 911, 912, 913, 914, 915, 917, 918, 919, 922, 924, 925, 926, 927, 928, 929, 930, 932, 934, 936, 937, 938, 939, 940, 941, 942, 944, 946, 947, 948, 949, 950, 951, 952, 956, 957, 958, 961, 962, 963, 965, 966, 967, 968, 970, 971, 972, 974, 975, 976, 978, 980, 982, 983, 984, 985, 986, 987, 988, 990, 992, 993, 994, 995, 996, 997, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1039, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1059, 1063, 1064, 1069, 1073, 1085, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1114, 1116, 1117, 1119, 1120, 1137, 1138, 1139, 1140, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1152, 1153, 1154, 1155, 1157, 1160, 1162, 1163, 1165, 1166, 1167, 1169, 1171, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1183, 1184, 1187, 1190, 1192, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1213, 1214, 1220, 1221, 1223, 1225, 1228, 1233, 1235, 1240, 1241, 1245, 1246, 1248, 1266, 1275, 1278, 1279, 1281, 1282, 1284, 1285, 1286, 1289, 1290, 1291, 1294, 1297, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1322, 1329, 1332, 1337, 1341, 1342, 1343, 1350, 1351, 1355, 1357, 1358, 1359, 1360, 1367, 1368, 1369, 1375, 1383, 1384, 1385, 1386, 1388, 1395, 1404, 1405, 1407, 1411, 1412, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1436], "len": [1, 5, 6, 7, 8, 11, 14, 20, 26, 28, 29, 45, 51, 68, 72, 83, 84, 85, 89, 103, 270, 272, 274, 275, 277, 286, 290, 348, 350, 376, 389, 391, 392, 394, 401, 407, 408, 409, 416, 417, 418, 419, 420, 421, 430, 462, 502, 568, 593, 594, 602, 674, 678, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 763, 798, 854, 899, 935, 981, 1040, 1042, 1043, 1062, 1117, 1156, 1174, 1176, 1179, 1181, 1182, 1186, 1218, 1222, 1308, 1413, 1417], "g": [1, 2, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 50, 51, 53, 56, 57, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 84, 85, 89, 90, 93, 94, 95, 96, 98, 100, 102, 103, 104, 105, 108, 111, 112, 113, 115, 116, 126, 128, 133, 142, 152, 153, 157, 158, 159, 160, 161, 163, 164, 166, 167, 168, 169, 171, 172, 173, 176, 177, 180, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 199, 200, 201, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 273, 278, 279, 280, 281, 282, 283, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 520, 521, 522, 523, 524, 525, 526, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 734, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 764, 769, 772, 777, 791, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 881, 883, 884, 885, 886, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 957, 958, 959, 960, 961, 962, 963, 965, 966, 967, 968, 970, 971, 972, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 999, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1022, 1023, 1024, 1025, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1048, 1055, 1056, 1057, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1150, 1151, 1152, 1153, 1154, 1156, 1157, 1160, 1161, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1187, 1188, 1190, 1192, 1193, 1195, 1196, 1197, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1208, 1209, 1211, 1212, 1213, 1216, 1218, 1219, 1222, 1223, 1225, 1226, 1228, 1229, 1233, 1235, 1241, 1246, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1273, 1275, 1276, 1277, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1304, 1306, 1309, 1326, 1327, 1329, 1330, 1332, 1334, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1349, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1395, 1403, 1404, 1405, 1408, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1432, 1434], "1": [1, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 20, 21, 22, 26, 27, 28, 31, 32, 33, 34, 35, 36, 39, 40, 42, 44, 45, 47, 51, 56, 58, 59, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 78, 81, 83, 84, 85, 89, 90, 92, 94, 96, 97, 98, 99, 100, 102, 103, 104, 110, 111, 113, 116, 122, 126, 133, 152, 153, 157, 158, 159, 160, 161, 164, 167, 168, 169, 171, 172, 176, 177, 185, 186, 189, 190, 193, 194, 195, 196, 199, 200, 201, 203, 205, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 264, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 279, 281, 283, 284, 285, 286, 287, 288, 289, 290, 291, 294, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 351, 352, 353, 354, 356, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 393, 396, 398, 399, 400, 402, 404, 405, 406, 407, 408, 411, 412, 413, 414, 415, 416, 417, 419, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 483, 484, 485, 486, 487, 488, 489, 490, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 520, 521, 522, 523, 524, 525, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 600, 601, 602, 603, 604, 605, 606, 608, 610, 614, 615, 616, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 763, 764, 769, 772, 777, 784, 791, 793, 798, 850, 851, 852, 853, 855, 856, 857, 858, 859, 860, 861, 863, 865, 866, 867, 868, 869, 871, 872, 875, 876, 879, 880, 883, 884, 885, 886, 888, 889, 890, 892, 893, 894, 895, 896, 897, 898, 900, 901, 902, 903, 904, 905, 906, 908, 910, 911, 912, 913, 914, 917, 918, 919, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 936, 937, 938, 939, 940, 941, 942, 944, 946, 947, 948, 949, 950, 952, 956, 957, 958, 961, 962, 965, 966, 967, 968, 970, 971, 972, 974, 975, 976, 977, 978, 979, 980, 982, 983, 984, 985, 986, 987, 988, 990, 992, 993, 994, 995, 996, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1046, 1055, 1056, 1057, 1059, 1063, 1064, 1067, 1068, 1069, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1127, 1137, 1138, 1139, 1140, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1151, 1152, 1153, 1154, 1155, 1157, 1160, 1161, 1162, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1241, 1242, 1245, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1282, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1316, 1325, 1326, 1327, 1329, 1332, 1336, 1337, 1338, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1365, 1366, 1367, 1368, 1369, 1371, 1372, 1373, 1374, 1375, 1376, 1383, 1384, 1385, 1386, 1387, 1388, 1390, 1395, 1396, 1401, 1402, 1412, 1414, 1416, 1420, 1421, 1422, 1423, 1425, 1432, 1433, 1434], "convert_node_labels_to_integ": [1, 7, 378, 462, 1123, 1132, 1301, 1415, 1436], "3d": [1, 2, 314, 1415, 1420, 1422], "spring": [1, 2, 1120, 1136, 1139, 1148, 1417], "layout": [1, 2, 9, 12, 20, 22, 24, 25, 26, 27, 30, 31, 39, 43, 44, 48, 51, 61, 63, 64, 66, 68, 73, 74, 81, 85, 89, 90, 98, 107, 112, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1122, 1123, 1126, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1144, 1145, 1146, 1147, 1148, 1331, 1332, 1402, 1403, 1404, 1405, 1410, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1426, 1431, 1434, 1436], "po": [1, 2, 5, 6, 7, 8, 9, 10, 12, 13, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 62, 63, 64, 66, 68, 69, 71, 72, 81, 82, 83, 84, 85, 89, 90, 94, 98, 352, 616, 1045, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1199, 1200, 1202, 1203, 1204, 1205, 1219, 1221, 1332, 1334, 1407, 1414, 1430, 1434, 1436], "spring_layout": [1, 2, 5, 6, 7, 9, 12, 13, 16, 17, 20, 21, 27, 28, 29, 30, 31, 33, 36, 41, 43, 46, 47, 63, 64, 66, 89, 90, 94, 1136, 1139, 1140, 1141, 1142, 1143, 1148, 1332, 1414, 1416, 1417, 1420, 1422], "dim": [1, 2, 44, 628, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1199, 1201, 1202, 1203, 1204, 1218, 1305, 1307, 1415, 1416, 1421], "3": [1, 2, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 28, 29, 33, 34, 36, 37, 39, 41, 42, 44, 45, 46, 47, 50, 53, 55, 57, 58, 63, 64, 65, 66, 67, 68, 69, 71, 72, 75, 78, 81, 82, 83, 84, 90, 97, 98, 99, 102, 104, 106, 111, 112, 113, 116, 126, 133, 152, 153, 157, 158, 159, 160, 161, 164, 166, 167, 168, 169, 172, 173, 176, 177, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 199, 201, 203, 205, 208, 215, 221, 227, 228, 229, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 249, 251, 252, 253, 254, 256, 257, 258, 261, 264, 266, 267, 268, 269, 282, 286, 288, 289, 296, 297, 298, 300, 301, 302, 303, 304, 305, 309, 310, 312, 313, 314, 315, 316, 317, 318, 321, 322, 324, 325, 326, 327, 329, 330, 332, 333, 334, 335, 339, 340, 341, 342, 343, 344, 345, 346, 348, 349, 350, 351, 356, 358, 359, 360, 361, 362, 363, 364, 373, 374, 376, 378, 380, 382, 385, 387, 388, 393, 394, 396, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 411, 412, 415, 416, 417, 424, 425, 426, 427, 428, 429, 431, 433, 437, 438, 441, 442, 443, 445, 447, 448, 451, 453, 455, 457, 459, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 483, 484, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 519, 524, 525, 557, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 586, 587, 588, 589, 590, 591, 592, 593, 594, 600, 601, 602, 603, 604, 605, 606, 608, 610, 614, 615, 617, 620, 621, 624, 625, 626, 627, 628, 630, 631, 632, 635, 637, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 679, 680, 681, 682, 686, 692, 693, 694, 695, 697, 698, 699, 700, 701, 704, 705, 706, 707, 708, 709, 710, 711, 712, 714, 715, 716, 717, 718, 719, 720, 723, 730, 731, 732, 733, 736, 737, 738, 739, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 762, 763, 764, 772, 777, 798, 852, 853, 855, 856, 857, 858, 859, 860, 861, 863, 864, 865, 866, 867, 869, 870, 871, 872, 875, 876, 877, 878, 879, 880, 881, 883, 884, 885, 886, 888, 890, 892, 893, 894, 897, 898, 900, 901, 902, 903, 904, 905, 906, 908, 909, 911, 912, 914, 915, 918, 919, 920, 921, 922, 923, 924, 925, 926, 928, 929, 930, 933, 934, 936, 937, 938, 939, 940, 941, 942, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 957, 958, 959, 960, 961, 962, 963, 965, 966, 967, 968, 970, 972, 974, 975, 976, 979, 980, 982, 983, 984, 985, 986, 987, 988, 990, 991, 992, 993, 994, 995, 996, 997, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1011, 1012, 1013, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1055, 1056, 1057, 1059, 1064, 1067, 1068, 1069, 1073, 1075, 1085, 1086, 1088, 1089, 1091, 1097, 1102, 1103, 1105, 1106, 1108, 1109, 1114, 1117, 1141, 1152, 1154, 1157, 1160, 1166, 1170, 1171, 1172, 1173, 1175, 1176, 1177, 1179, 1183, 1186, 1187, 1191, 1192, 1196, 1198, 1200, 1212, 1213, 1214, 1216, 1218, 1221, 1223, 1225, 1228, 1232, 1235, 1241, 1243, 1244, 1245, 1248, 1251, 1256, 1257, 1261, 1264, 1267, 1270, 1272, 1275, 1277, 1278, 1279, 1284, 1285, 1286, 1288, 1291, 1293, 1294, 1297, 1301, 1302, 1308, 1309, 1316, 1325, 1329, 1331, 1332, 1337, 1338, 1341, 1342, 1343, 1344, 1353, 1355, 1369, 1370, 1375, 1376, 1388, 1395, 1401, 1402, 1403, 1404, 1405, 1411, 1412, 1413, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1429, 1430, 1431, 1432, 1433], "seed": [1, 2, 5, 6, 7, 9, 12, 13, 16, 20, 21, 27, 28, 29, 30, 31, 32, 33, 36, 40, 41, 43, 45, 46, 47, 51, 63, 64, 66, 84, 89, 90, 94, 103, 104, 209, 214, 218, 223, 224, 228, 231, 232, 272, 273, 275, 276, 297, 298, 307, 339, 370, 375, 379, 380, 382, 383, 591, 627, 683, 684, 685, 686, 688, 694, 695, 696, 703, 722, 724, 740, 749, 1103, 1109, 1114, 1120, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1213, 1216, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1305, 1307, 1310, 1311, 1321, 1322, 1323, 1324, 1325, 1334, 1414, 1417, 1418, 1420, 1422, 1434], "1001": 1, "arrai": [1, 2, 7, 25, 35, 53, 55, 58, 104, 108, 110, 239, 244, 283, 284, 479, 480, 567, 617, 621, 631, 678, 683, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1044, 1100, 1101, 1104, 1105, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1139, 1141, 1143, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1312, 1329, 1330, 1395, 1410, 1411, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1433, 1434], "x": [1, 2, 7, 8, 14, 15, 22, 27, 35, 40, 55, 58, 59, 68, 69, 75, 100, 101, 102, 104, 107, 227, 228, 231, 232, 242, 243, 244, 245, 246, 247, 248, 254, 256, 257, 261, 281, 283, 312, 313, 327, 333, 339, 431, 440, 456, 466, 479, 480, 481, 496, 500, 501, 502, 504, 505, 508, 509, 510, 511, 512, 588, 590, 593, 607, 609, 612, 613, 616, 620, 621, 628, 632, 678, 694, 696, 772, 777, 966, 1006, 1088, 1089, 1122, 1123, 1127, 1128, 1129, 1131, 1154, 1188, 1196, 1198, 1199, 1205, 1223, 1241, 1259, 1284, 1285, 1301, 1302, 1325, 1332, 1350, 1412, 1415, 1416, 1420, 1421, 1422, 1425, 1434, 1435, 1436], "y": [1, 2, 7, 8, 15, 35, 40, 55, 58, 59, 68, 69, 242, 243, 244, 245, 246, 247, 248, 253, 254, 257, 261, 327, 431, 456, 479, 480, 481, 496, 500, 501, 502, 504, 505, 508, 509, 510, 511, 512, 571, 575, 588, 607, 609, 612, 613, 616, 621, 628, 632, 672, 677, 682, 693, 694, 696, 777, 966, 1006, 1122, 1123, 1127, 1128, 1129, 1131, 1198, 1199, 1205, 1223, 1241, 1284, 1285, 1302, 1332, 1350], "z": [1, 2, 7, 8, 63, 68, 113, 133, 382, 453, 456, 510, 593, 772, 1185, 1198, 1199, 1205, 1223, 1241, 1257, 1301, 1302, 1423, 1426], "posit": [1, 2, 6, 7, 9, 11, 22, 24, 34, 35, 36, 40, 44, 47, 48, 55, 56, 58, 59, 81, 87, 104, 110, 156, 165, 231, 232, 312, 313, 339, 352, 382, 473, 474, 475, 476, 477, 498, 506, 507, 510, 585, 610, 616, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 682, 684, 736, 738, 741, 1045, 1048, 1050, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1161, 1181, 1183, 1184, 1186, 1187, 1191, 1199, 1200, 1202, 1203, 1204, 1205, 1219, 1221, 1228, 1276, 1279, 1288, 1308, 1332, 1350, 1407, 1413, 1415, 1421, 1436], "sort": [1, 2, 10, 20, 28, 31, 62, 68, 72, 84, 85, 92, 94, 106, 111, 126, 158, 170, 198, 267, 285, 288, 301, 312, 325, 326, 327, 333, 334, 335, 344, 376, 378, 385, 386, 392, 394, 401, 407, 408, 409, 424, 425, 426, 427, 428, 442, 453, 455, 457, 458, 460, 463, 466, 467, 468, 483, 484, 508, 510, 558, 559, 560, 583, 584, 590, 654, 658, 660, 679, 704, 708, 710, 732, 736, 737, 738, 739, 754, 858, 903, 939, 985, 1059, 1150, 1154, 1157, 1160, 1186, 1187, 1212, 1223, 1277, 1278, 1300, 1301, 1308, 1357, 1383, 1407, 1410, 1413, 1415, 1416, 1420, 1421, 1423, 1436], "order": [1, 5, 8, 14, 15, 45, 55, 58, 59, 62, 68, 72, 96, 100, 102, 104, 111, 124, 156, 170, 183, 187, 198, 205, 221, 230, 231, 232, 239, 244, 261, 262, 263, 283, 314, 325, 326, 327, 332, 333, 339, 341, 343, 347, 348, 349, 350, 351, 354, 364, 365, 366, 367, 369, 371, 375, 382, 398, 435, 436, 437, 438, 439, 452, 453, 457, 459, 460, 462, 466, 468, 470, 514, 547, 561, 562, 567, 568, 577, 590, 616, 617, 618, 621, 631, 659, 665, 678, 679, 680, 682, 705, 706, 708, 709, 710, 712, 714, 716, 719, 720, 721, 730, 734, 735, 746, 749, 750, 760, 762, 763, 782, 854, 877, 893, 899, 920, 935, 948, 950, 956, 959, 962, 965, 966, 981, 994, 996, 1000, 1003, 1005, 1006, 1055, 1056, 1062, 1088, 1089, 1105, 1106, 1108, 1115, 1141, 1143, 1149, 1150, 1153, 1158, 1165, 1170, 1179, 1180, 1183, 1226, 1227, 1250, 1275, 1277, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1300, 1301, 1302, 1308, 1309, 1313, 1318, 1326, 1327, 1329, 1331, 1332, 1359, 1360, 1369, 1385, 1386, 1387, 1404, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1420, 1421, 1422, 1428, 1429, 1433, 1434, 1436], "xyz": 1, "v": [1, 2, 5, 6, 7, 8, 12, 16, 20, 26, 27, 35, 37, 39, 46, 47, 64, 67, 68, 85, 89, 90, 102, 103, 113, 115, 116, 133, 142, 144, 152, 153, 159, 165, 169, 171, 172, 174, 175, 177, 178, 183, 184, 186, 190, 193, 194, 203, 205, 207, 208, 210, 212, 213, 220, 227, 230, 231, 232, 242, 245, 247, 248, 250, 258, 259, 260, 261, 262, 263, 265, 278, 279, 281, 283, 285, 286, 287, 288, 290, 292, 293, 296, 298, 299, 300, 301, 305, 306, 307, 308, 312, 314, 316, 317, 321, 322, 323, 327, 328, 329, 330, 331, 332, 343, 349, 352, 353, 354, 357, 359, 360, 363, 373, 374, 376, 382, 383, 411, 413, 414, 418, 420, 424, 425, 432, 433, 436, 442, 452, 455, 457, 462, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 485, 486, 487, 490, 491, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 508, 509, 510, 511, 512, 516, 519, 520, 522, 523, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 587, 589, 590, 592, 599, 603, 606, 607, 608, 609, 610, 612, 613, 617, 621, 623, 628, 629, 632, 635, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 674, 675, 676, 677, 678, 679, 680, 681, 687, 688, 689, 690, 691, 694, 696, 705, 706, 713, 719, 720, 721, 730, 734, 736, 738, 740, 754, 798, 855, 856, 859, 867, 868, 869, 872, 876, 880, 883, 884, 892, 893, 894, 900, 901, 904, 912, 913, 914, 919, 922, 923, 928, 930, 936, 937, 940, 948, 949, 950, 953, 956, 958, 962, 965, 966, 974, 975, 976, 982, 983, 986, 994, 995, 996, 1000, 1002, 1005, 1006, 1011, 1013, 1040, 1042, 1043, 1059, 1067, 1087, 1088, 1139, 1141, 1143, 1171, 1174, 1179, 1181, 1185, 1191, 1194, 1199, 1201, 1204, 1213, 1216, 1223, 1225, 1231, 1239, 1247, 1278, 1284, 1285, 1288, 1309, 1313, 1330, 1332, 1338, 1362, 1363, 1402, 1403, 1413, 1415, 1423, 1434, 1436], "scalar": [1, 223, 224, 249, 325, 326, 563, 564, 565, 1088, 1089, 1097, 1139, 1141, 1143, 1200], "color": [1, 2, 6, 16, 17, 24, 26, 29, 30, 33, 35, 37, 38, 40, 48, 56, 57, 58, 69, 72, 75, 78, 81, 85, 87, 115, 116, 145, 158, 160, 169, 177, 185, 190, 191, 201, 208, 225, 237, 238, 247, 253, 254, 255, 257, 269, 291, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 471, 548, 549, 550, 554, 555, 556, 600, 620, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 693, 760, 798, 858, 860, 867, 872, 875, 880, 881, 890, 894, 903, 905, 912, 918, 930, 939, 941, 948, 957, 962, 963, 972, 976, 985, 987, 994, 1001, 1013, 1040, 1042, 1043, 1067, 1068, 1089, 1103, 1139, 1140, 1141, 1142, 1143, 1284, 1285, 1329, 1331, 1332, 1336, 1345, 1350, 1362, 1363, 1403, 1404, 1415, 1416, 1417, 1419, 1421, 1422, 1423, 1425, 1434, 1436], "list": [1, 6, 7, 10, 11, 14, 15, 21, 35, 39, 40, 41, 45, 46, 56, 64, 72, 75, 83, 84, 89, 92, 93, 94, 95, 98, 100, 101, 102, 104, 105, 106, 107, 111, 116, 145, 153, 158, 159, 163, 164, 167, 168, 170, 176, 185, 189, 194, 195, 196, 198, 200, 203, 205, 207, 208, 210, 221, 227, 228, 229, 230, 231, 232, 233, 237, 238, 239, 240, 241, 242, 244, 245, 246, 247, 248, 249, 250, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 266, 267, 268, 269, 270, 272, 274, 275, 277, 282, 283, 285, 286, 287, 288, 289, 290, 291, 294, 299, 303, 308, 310, 316, 317, 318, 319, 320, 327, 332, 339, 340, 346, 347, 348, 349, 350, 351, 354, 355, 356, 357, 362, 369, 370, 377, 378, 382, 383, 384, 385, 386, 387, 389, 391, 392, 393, 394, 398, 401, 407, 408, 409, 420, 421, 424, 429, 430, 431, 451, 452, 453, 454, 455, 457, 459, 460, 461, 466, 468, 470, 471, 472, 473, 476, 479, 480, 483, 490, 493, 494, 502, 514, 515, 516, 517, 518, 519, 520, 525, 548, 549, 550, 554, 555, 556, 558, 559, 560, 561, 562, 567, 587, 588, 589, 590, 591, 593, 594, 596, 597, 598, 599, 607, 608, 609, 610, 612, 613, 617, 620, 628, 631, 633, 634, 637, 641, 642, 652, 655, 656, 658, 659, 662, 666, 669, 672, 674, 675, 679, 680, 681, 682, 699, 704, 706, 707, 708, 709, 710, 712, 713, 714, 716, 717, 718, 719, 720, 721, 731, 733, 736, 738, 741, 747, 751, 752, 763, 788, 798, 852, 853, 856, 858, 859, 862, 863, 865, 866, 871, 875, 879, 884, 885, 886, 889, 892, 893, 894, 897, 898, 901, 903, 904, 907, 908, 910, 911, 918, 923, 924, 925, 927, 928, 929, 930, 933, 934, 937, 939, 940, 943, 944, 946, 947, 948, 952, 957, 961, 962, 966, 967, 968, 971, 974, 975, 976, 979, 980, 983, 985, 986, 987, 989, 990, 992, 993, 994, 1001, 1006, 1007, 1008, 1010, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1048, 1062, 1064, 1069, 1074, 1076, 1078, 1084, 1085, 1087, 1088, 1089, 1090, 1095, 1096, 1097, 1098, 1099, 1100, 1103, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1127, 1129, 1139, 1141, 1143, 1146, 1149, 1150, 1154, 1156, 1157, 1176, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1199, 1200, 1205, 1209, 1212, 1213, 1214, 1218, 1226, 1228, 1246, 1248, 1278, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1301, 1302, 1303, 1308, 1309, 1317, 1326, 1327, 1329, 1330, 1331, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1351, 1354, 1355, 1356, 1358, 1359, 1360, 1366, 1375, 1376, 1377, 1378, 1384, 1385, 1386, 1387, 1388, 1390, 1392, 1402, 1403, 1404, 1408, 1409, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "figur": [1, 2, 6, 8, 17, 26, 27, 28, 35, 37, 39, 40, 69, 81, 82, 83, 85, 94, 106, 1045, 1127, 1129, 1136, 1266, 1410, 1415], "pt": [1, 385], "points3d": 1, "2": [1, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 22, 26, 27, 28, 29, 31, 32, 33, 34, 36, 37, 39, 40, 41, 42, 44, 45, 47, 51, 55, 56, 57, 58, 63, 64, 65, 66, 67, 68, 69, 70, 71, 75, 78, 81, 83, 84, 89, 90, 94, 97, 98, 99, 100, 103, 104, 106, 108, 113, 116, 126, 133, 152, 153, 157, 158, 159, 160, 161, 164, 167, 169, 172, 176, 177, 185, 189, 190, 191, 193, 194, 195, 196, 199, 200, 201, 205, 208, 210, 211, 212, 213, 214, 215, 218, 219, 221, 222, 225, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 245, 247, 248, 249, 250, 251, 252, 253, 254, 257, 258, 259, 266, 267, 268, 269, 275, 276, 279, 281, 282, 283, 285, 286, 287, 288, 290, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 334, 335, 339, 340, 341, 342, 344, 345, 346, 348, 349, 350, 351, 354, 356, 357, 358, 359, 360, 362, 363, 364, 373, 374, 376, 378, 382, 383, 385, 387, 388, 389, 391, 392, 393, 398, 399, 400, 402, 404, 405, 406, 407, 408, 411, 413, 414, 415, 418, 420, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 439, 440, 441, 442, 445, 451, 452, 453, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 483, 484, 485, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 519, 520, 524, 525, 548, 549, 550, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 587, 588, 589, 590, 591, 592, 593, 594, 595, 600, 601, 602, 603, 604, 605, 606, 608, 610, 614, 615, 617, 618, 619, 620, 621, 624, 625, 626, 627, 628, 630, 631, 632, 634, 635, 637, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 654, 655, 656, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 675, 678, 679, 680, 681, 682, 683, 685, 686, 688, 690, 691, 692, 693, 695, 696, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 763, 764, 772, 777, 791, 798, 852, 853, 855, 856, 857, 858, 859, 860, 861, 863, 865, 867, 869, 871, 872, 875, 879, 880, 881, 883, 884, 885, 886, 888, 889, 890, 893, 894, 897, 898, 900, 901, 902, 903, 904, 905, 906, 908, 910, 912, 914, 918, 922, 923, 924, 925, 926, 927, 929, 930, 933, 934, 936, 937, 938, 939, 940, 941, 942, 944, 946, 948, 949, 950, 952, 953, 957, 958, 961, 962, 963, 965, 966, 967, 968, 970, 971, 972, 975, 976, 979, 980, 982, 983, 984, 985, 986, 987, 988, 990, 992, 994, 995, 996, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1012, 1013, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1059, 1067, 1068, 1073, 1075, 1078, 1083, 1085, 1086, 1087, 1088, 1089, 1091, 1097, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1110, 1111, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1137, 1138, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1152, 1153, 1154, 1157, 1162, 1163, 1168, 1170, 1171, 1173, 1175, 1177, 1178, 1179, 1181, 1182, 1183, 1185, 1186, 1187, 1191, 1192, 1193, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1230, 1232, 1234, 1235, 1236, 1238, 1241, 1242, 1245, 1250, 1252, 1254, 1255, 1256, 1257, 1261, 1263, 1265, 1266, 1268, 1275, 1277, 1278, 1279, 1284, 1285, 1286, 1287, 1289, 1290, 1291, 1292, 1293, 1294, 1297, 1301, 1302, 1308, 1309, 1316, 1322, 1325, 1326, 1327, 1329, 1332, 1336, 1337, 1338, 1341, 1342, 1343, 1345, 1346, 1350, 1353, 1355, 1359, 1360, 1365, 1366, 1367, 1369, 1370, 1371, 1372, 1375, 1376, 1385, 1386, 1388, 1395, 1396, 1401, 1402, 1403, 1404, 1405, 1407, 1411, 1412, 1434], "scale_factor": 1, "scale_mod": 1, "none": [1, 5, 14, 35, 69, 71, 72, 89, 90, 95, 102, 103, 104, 152, 157, 167, 169, 171, 172, 176, 177, 181, 185, 186, 189, 190, 199, 207, 208, 209, 214, 215, 216, 217, 218, 220, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 253, 257, 261, 262, 263, 265, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 286, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 339, 340, 346, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 368, 370, 375, 376, 378, 379, 380, 382, 383, 384, 385, 386, 387, 393, 398, 401, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 430, 435, 436, 437, 438, 442, 444, 445, 446, 447, 449, 450, 451, 452, 453, 459, 460, 466, 469, 470, 472, 473, 474, 475, 476, 477, 478, 485, 490, 491, 493, 496, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 521, 527, 537, 547, 557, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 590, 591, 595, 603, 607, 609, 612, 613, 617, 623, 627, 628, 629, 631, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 682, 683, 684, 685, 686, 688, 689, 690, 691, 692, 694, 695, 696, 697, 703, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 740, 741, 749, 751, 753, 755, 762, 798, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 852, 855, 857, 865, 867, 868, 869, 871, 872, 873, 875, 876, 879, 880, 888, 894, 897, 900, 902, 910, 912, 913, 914, 916, 918, 919, 926, 930, 933, 936, 938, 946, 948, 949, 950, 952, 953, 954, 957, 958, 961, 962, 965, 970, 976, 979, 982, 984, 992, 994, 995, 996, 998, 1001, 1002, 1005, 1009, 1013, 1014, 1037, 1040, 1042, 1043, 1052, 1054, 1061, 1065, 1069, 1073, 1075, 1087, 1088, 1089, 1090, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1127, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1146, 1151, 1152, 1153, 1154, 1155, 1156, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1169, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1216, 1217, 1219, 1221, 1223, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1299, 1300, 1302, 1305, 1306, 1307, 1308, 1310, 1311, 1312, 1314, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1330, 1334, 1338, 1339, 1342, 1343, 1344, 1348, 1351, 1354, 1355, 1356, 1359, 1360, 1361, 1364, 1369, 1370, 1376, 1377, 1385, 1386, 1387, 1388, 1402, 1407, 1408, 1413, 1414, 1415, 1416, 1418, 1421, 1422, 1423, 1434, 1436], "colormap": [1, 24, 29, 48, 87, 1139, 1141, 1143, 1415, 1421], "blue": [1, 5, 8, 13, 16, 17, 30, 34, 36, 38, 39, 45, 72, 82, 83, 158, 160, 177, 191, 201, 237, 238, 247, 466, 693, 762, 798, 858, 860, 872, 881, 890, 903, 905, 939, 941, 963, 972, 985, 987, 1040, 1042, 1043, 1045, 1089, 1103, 1127, 1128, 1129, 1284, 1285, 1308, 1403, 1416, 1436], "resolut": [1, 35, 94, 97, 101, 105, 382, 383, 385, 386, 387, 1119, 1423], "mlab_sourc": 1, "dataset": [1, 55, 56, 571, 1332], "line": [1, 21, 26, 35, 53, 54, 59, 60, 64, 66, 69, 70, 72, 77, 85, 87, 94, 95, 98, 100, 102, 110, 112, 266, 267, 518, 579, 798, 1040, 1042, 1043, 1045, 1109, 1112, 1139, 1141, 1143, 1212, 1222, 1223, 1302, 1304, 1331, 1332, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1347, 1350, 1351, 1354, 1358, 1361, 1364, 1373, 1375, 1376, 1377, 1378, 1379, 1380, 1384, 1387, 1388, 1396, 1398, 1403, 1410, 1415, 1420, 1421, 1422, 1423, 1424, 1425, 1433, 1434], "edg": [1, 2, 7, 10, 11, 14, 16, 17, 24, 26, 27, 29, 32, 33, 35, 36, 39, 41, 42, 44, 45, 46, 47, 48, 53, 55, 56, 57, 64, 66, 68, 70, 72, 75, 78, 81, 85, 87, 89, 90, 102, 103, 106, 108, 113, 116, 117, 121, 142, 143, 144, 145, 152, 153, 154, 155, 156, 159, 160, 162, 163, 164, 165, 166, 167, 168, 171, 172, 174, 175, 176, 177, 178, 181, 182, 184, 186, 189, 190, 191, 192, 193, 194, 195, 197, 198, 199, 200, 201, 202, 203, 205, 207, 208, 209, 212, 213, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 235, 236, 240, 241, 242, 243, 244, 245, 247, 248, 249, 253, 265, 266, 267, 268, 269, 270, 272, 273, 274, 276, 277, 279, 281, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 336, 337, 339, 340, 343, 344, 345, 347, 348, 349, 352, 353, 357, 358, 359, 361, 372, 376, 378, 379, 380, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 396, 400, 412, 413, 414, 416, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 449, 450, 451, 452, 453, 454, 455, 457, 460, 461, 462, 464, 466, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 487, 488, 489, 490, 491, 492, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 521, 522, 523, 527, 537, 547, 548, 549, 554, 555, 557, 558, 559, 561, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 583, 584, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 623, 626, 627, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 702, 703, 705, 706, 710, 712, 713, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 744, 745, 746, 749, 750, 751, 752, 753, 754, 755, 760, 763, 764, 769, 772, 782, 788, 789, 791, 793, 852, 855, 856, 859, 860, 862, 863, 864, 865, 866, 868, 869, 871, 872, 873, 874, 876, 879, 880, 881, 882, 883, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 897, 900, 901, 904, 905, 907, 908, 909, 910, 911, 913, 914, 916, 919, 922, 923, 924, 926, 927, 928, 929, 930, 933, 936, 937, 940, 941, 943, 944, 945, 946, 947, 949, 950, 952, 953, 954, 955, 956, 958, 961, 962, 963, 964, 965, 966, 967, 969, 970, 971, 972, 973, 974, 975, 976, 979, 982, 983, 986, 987, 989, 990, 991, 992, 993, 995, 996, 998, 1000, 1002, 1005, 1006, 1007, 1009, 1010, 1011, 1012, 1013, 1026, 1027, 1028, 1029, 1032, 1033, 1034, 1035, 1038, 1039, 1041, 1044, 1045, 1055, 1056, 1057, 1060, 1063, 1064, 1066, 1067, 1069, 1071, 1073, 1074, 1075, 1078, 1079, 1081, 1083, 1084, 1085, 1086, 1087, 1088, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1117, 1118, 1120, 1121, 1127, 1128, 1129, 1136, 1139, 1140, 1141, 1143, 1150, 1152, 1153, 1154, 1155, 1156, 1157, 1160, 1162, 1163, 1164, 1167, 1168, 1171, 1173, 1176, 1177, 1179, 1181, 1182, 1183, 1185, 1187, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1212, 1213, 1214, 1215, 1216, 1219, 1221, 1223, 1224, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1273, 1276, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1313, 1315, 1329, 1330, 1331, 1335, 1338, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1367, 1368, 1369, 1370, 1371, 1376, 1377, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1391, 1392, 1395, 1396, 1397, 1404, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1433, 1434], "tube": 1, "pipelin": [1, 14], "tube_radiu": 1, "01": [1, 14, 18, 73, 215, 216, 217, 221, 231, 325, 340, 1120, 1176, 1257], "surfac": [1, 33], "8": [1, 8, 9, 11, 12, 13, 15, 17, 20, 28, 33, 35, 36, 37, 39, 40, 43, 45, 55, 58, 64, 65, 66, 67, 69, 81, 82, 85, 89, 90, 100, 102, 112, 116, 126, 233, 268, 269, 296, 334, 335, 341, 342, 344, 348, 376, 381, 382, 385, 386, 389, 391, 412, 416, 426, 427, 428, 446, 503, 513, 514, 571, 588, 610, 621, 627, 673, 697, 705, 708, 709, 710, 763, 777, 798, 1040, 1042, 1043, 1045, 1154, 1178, 1197, 1200, 1208, 1245, 1246, 1251, 1261, 1262, 1268, 1272, 1279, 1281, 1282, 1283, 1302, 1325, 1329, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1350, 1361, 1364, 1369, 1370, 1374, 1377, 1378, 1381, 1382, 1388, 1395, 1403, 1411, 1412, 1414, 1418, 1420, 1421, 1422, 1423, 1424, 1434, 1436], "orientation_ax": 1, "total": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 89, 90, 91, 113, 186, 199, 228, 230, 231, 232, 236, 298, 299, 315, 316, 317, 318, 319, 320, 329, 332, 375, 384, 388, 445, 449, 453, 496, 497, 499, 500, 501, 503, 504, 505, 508, 509, 511, 512, 571, 623, 659, 692, 723, 740, 788, 876, 888, 919, 926, 958, 970, 1002, 1009, 1063, 1084, 1171, 1194, 1215, 1248, 1284, 1285, 1420, 1421, 1423, 1424, 1426, 1429], "run": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 101, 107, 112, 122, 144, 162, 220, 225, 230, 231, 232, 265, 297, 306, 333, 340, 348, 349, 354, 372, 420, 421, 427, 431, 442, 464, 496, 498, 500, 501, 510, 511, 512, 517, 518, 519, 520, 562, 579, 584, 585, 630, 631, 632, 654, 660, 688, 694, 699, 731, 733, 1041, 1046, 1206, 1207, 1230, 1234, 1236, 1238, 1241, 1284, 1285, 1402, 1411, 1415, 1416, 1420, 1421, 1422, 1425, 1429, 1430, 1433, 1434], "time": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 53, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 93, 94, 98, 100, 101, 102, 103, 106, 108, 110, 112, 113, 115, 122, 133, 143, 144, 166, 185, 211, 214, 218, 220, 228, 230, 231, 232, 264, 265, 281, 294, 295, 297, 302, 303, 306, 309, 310, 329, 331, 333, 340, 345, 348, 349, 350, 351, 362, 363, 372, 375, 379, 380, 385, 425, 431, 442, 449, 454, 455, 462, 464, 490, 496, 498, 500, 501, 511, 512, 515, 517, 518, 519, 520, 521, 522, 523, 562, 579, 583, 584, 607, 609, 612, 613, 616, 621, 630, 631, 632, 654, 660, 661, 679, 680, 683, 685, 688, 694, 699, 731, 733, 762, 764, 782, 798, 864, 875, 909, 918, 945, 957, 991, 1001, 1040, 1042, 1043, 1046, 1137, 1138, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1187, 1188, 1189, 1190, 1201, 1202, 1203, 1204, 1206, 1207, 1223, 1225, 1230, 1234, 1236, 1238, 1240, 1241, 1245, 1248, 1302, 1308, 1325, 1332, 1403, 1410, 1411, 1412, 1415, 1422, 1423, 1436], "script": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 98, 112, 1415, 1416, 1421], "minut": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90], "000": [1, 3, 11, 12, 50, 52], "second": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 104, 111, 208, 231, 232, 233, 250, 262, 263, 271, 273, 276, 333, 382, 387, 452, 456, 466, 595, 642, 649, 662, 666, 669, 673, 675, 760, 764, 793, 894, 930, 948, 962, 965, 976, 1005, 1013, 1088, 1089, 1118, 1197, 1198, 1209, 1210, 1211, 1213, 1224, 1281, 1282, 1301, 1302, 1308, 1329, 1408, 1416], "python": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 54, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 94, 95, 97, 98, 100, 102, 103, 104, 107, 108, 110, 112, 116, 152, 157, 166, 171, 172, 203, 205, 267, 268, 278, 431, 466, 498, 617, 662, 669, 763, 798, 852, 855, 857, 864, 868, 869, 892, 893, 897, 900, 902, 909, 913, 914, 928, 929, 933, 936, 938, 945, 949, 974, 975, 979, 982, 984, 991, 995, 1011, 1012, 1040, 1041, 1042, 1043, 1049, 1101, 1102, 1287, 1302, 1308, 1313, 1315, 1318, 1330, 1332, 1334, 1336, 1338, 1339, 1342, 1343, 1344, 1348, 1352, 1353, 1362, 1363, 1376, 1377, 1389, 1390, 1391, 1395, 1402, 1403, 1404, 1405, 1408, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "sourc": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 92, 94, 97, 100, 102, 106, 110, 111, 116, 117, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 154, 155, 156, 162, 165, 170, 178, 183, 184, 198, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 533, 536, 537, 538, 539, 540, 541, 542, 544, 545, 546, 547, 549, 550, 551, 552, 553, 555, 556, 557, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 798, 799, 804, 825, 830, 835, 845, 852, 855, 856, 857, 858, 862, 863, 882, 883, 884, 885, 886, 887, 891, 893, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 911, 913, 914, 915, 916, 917, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 933, 936, 965, 969, 975, 979, 982, 983, 991, 994, 995, 996, 1000, 1002, 1005, 1006, 1011, 1012, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1042, 1043, 1046, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1231, 1232, 1233, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1332, 1335, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1396, 1406, 1408, 1413, 1415, 1416, 1418, 1420, 1421, 1422, 1425, 1434, 1436], "mayavi2_spr": [1, 3], "py": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 55, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 81, 82, 83, 84, 85, 86, 89, 90, 91, 94, 96, 98, 107, 469, 706, 708, 709, 710, 1302, 1415, 1416, 1420, 1421, 1422, 1423, 1426, 1428, 1430, 1431, 1432, 1433, 1434, 1435], "jupyt": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 106, 1332, 1436], "notebook": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 97, 1332, 1423, 1436], "ipynb": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90], "galleri": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 89, 90, 94, 95, 97, 108, 110, 752, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "gener": [1, 2, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 93, 94, 96, 97, 98, 99, 100, 103, 106, 108, 111, 128, 129, 134, 143, 144, 183, 199, 209, 214, 218, 223, 224, 228, 231, 232, 233, 247, 248, 266, 267, 272, 273, 275, 276, 283, 292, 293, 294, 297, 298, 299, 307, 308, 316, 325, 326, 344, 348, 349, 357, 358, 359, 364, 365, 366, 367, 370, 375, 378, 379, 380, 381, 382, 383, 385, 386, 390, 391, 392, 393, 394, 401, 407, 408, 409, 420, 421, 424, 426, 427, 428, 429, 430, 455, 457, 459, 462, 466, 467, 468, 490, 514, 531, 535, 541, 545, 547, 554, 555, 556, 579, 590, 591, 592, 595, 599, 618, 627, 634, 672, 675, 676, 677, 679, 680, 682, 683, 684, 685, 686, 688, 694, 695, 696, 700, 701, 703, 705, 706, 712, 713, 714, 716, 719, 720, 721, 724, 735, 736, 738, 740, 746, 747, 749, 755, 760, 762, 763, 764, 793, 798, 888, 926, 936, 937, 948, 962, 970, 982, 983, 994, 1009, 1040, 1041, 1042, 1043, 1100, 1114, 1120, 1149, 1157, 1159, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1215, 1216, 1224, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1250, 1262, 1275, 1278, 1279, 1281, 1282, 1283, 1302, 1305, 1307, 1310, 1311, 1325, 1326, 1327, 1331, 1332, 1334, 1337, 1340, 1341, 1342, 1347, 1351, 1353, 1361, 1364, 1375, 1379, 1387, 1388, 1391, 1393, 1404, 1406, 1407, 1408, 1410, 1411, 1412, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1433, 1434], "sphinx": [1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21, 22, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 55, 56, 57, 58, 59, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 89, 90, 94, 98, 100, 1402, 1405, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1432, 1433, 1434], "A": [2, 7, 8, 10, 15, 16, 17, 22, 35, 39, 42, 44, 68, 69, 70, 72, 75, 76, 77, 78, 83, 89, 92, 93, 94, 96, 98, 100, 101, 102, 105, 106, 108, 111, 113, 115, 117, 121, 128, 129, 133, 142, 145, 157, 158, 162, 166, 167, 169, 170, 177, 178, 182, 185, 190, 191, 192, 195, 196, 198, 200, 201, 202, 203, 207, 209, 211, 212, 213, 215, 216, 217, 220, 221, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 240, 241, 250, 252, 258, 259, 260, 261, 262, 263, 265, 268, 269, 270, 272, 273, 274, 275, 276, 277, 279, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 360, 362, 363, 364, 374, 375, 377, 378, 379, 381, 382, 383, 384, 385, 386, 387, 389, 390, 391, 392, 393, 394, 396, 398, 399, 400, 401, 402, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 425, 427, 429, 430, 431, 433, 434, 435, 436, 437, 438, 439, 440, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 459, 460, 461, 462, 464, 466, 467, 468, 469, 470, 471, 473, 474, 475, 476, 477, 478, 479, 480, 481, 483, 484, 485, 486, 490, 493, 494, 496, 498, 502, 504, 505, 506, 507, 508, 509, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 527, 537, 547, 557, 561, 562, 566, 567, 568, 570, 572, 574, 575, 576, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 591, 592, 593, 594, 596, 597, 598, 600, 601, 602, 603, 604, 605, 606, 608, 610, 611, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 633, 634, 659, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 686, 688, 690, 691, 692, 693, 694, 695, 696, 697, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 713, 714, 715, 716, 717, 719, 720, 725, 726, 727, 728, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 760, 762, 763, 764, 772, 777, 784, 788, 791, 793, 798, 851, 857, 858, 864, 865, 867, 872, 874, 875, 880, 881, 882, 885, 886, 889, 890, 891, 892, 896, 902, 903, 909, 910, 912, 917, 918, 924, 925, 927, 928, 929, 932, 933, 937, 938, 939, 945, 946, 948, 952, 953, 955, 957, 962, 964, 966, 967, 968, 971, 973, 974, 978, 979, 983, 984, 985, 991, 992, 994, 999, 1001, 1006, 1007, 1008, 1010, 1011, 1012, 1022, 1023, 1024, 1025, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1055, 1056, 1057, 1059, 1060, 1062, 1064, 1066, 1069, 1071, 1072, 1073, 1074, 1075, 1078, 1083, 1084, 1085, 1087, 1090, 1091, 1094, 1095, 1097, 1098, 1099, 1101, 1103, 1104, 1105, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1125, 1126, 1130, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1156, 1160, 1170, 1174, 1175, 1176, 1177, 1178, 1180, 1181, 1182, 1183, 1184, 1187, 1191, 1193, 1194, 1195, 1196, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1211, 1213, 1214, 1215, 1216, 1222, 1223, 1225, 1228, 1229, 1230, 1233, 1234, 1235, 1238, 1239, 1241, 1242, 1243, 1244, 1245, 1249, 1251, 1261, 1271, 1275, 1276, 1277, 1278, 1279, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1308, 1326, 1327, 1329, 1330, 1332, 1343, 1344, 1345, 1346, 1347, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1361, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1379, 1382, 1388, 1390, 1403, 1404, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1433, 1434], "visual": [2, 26, 28, 33, 35, 53, 55, 57, 62, 68, 77, 94, 97, 98, 221, 429, 693, 752, 788, 1045, 1350, 1387, 1388, 1399, 1434], "us": [2, 6, 7, 11, 14, 16, 17, 26, 27, 29, 31, 33, 35, 36, 39, 40, 44, 45, 47, 49, 50, 53, 54, 55, 56, 57, 58, 59, 62, 64, 66, 71, 74, 76, 80, 81, 85, 87, 89, 93, 94, 95, 98, 100, 101, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 116, 124, 133, 142, 144, 152, 153, 157, 158, 159, 160, 166, 167, 168, 169, 172, 173, 176, 177, 181, 185, 189, 190, 191, 196, 197, 199, 200, 201, 203, 204, 205, 206, 208, 209, 215, 216, 217, 218, 221, 223, 224, 225, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 239, 240, 241, 242, 243, 244, 245, 247, 248, 250, 251, 252, 253, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 281, 282, 283, 284, 285, 286, 291, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 319, 320, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 334, 335, 338, 339, 343, 346, 347, 348, 349, 354, 355, 356, 357, 358, 363, 364, 368, 373, 374, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 389, 390, 391, 392, 393, 394, 396, 401, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 428, 429, 430, 431, 437, 438, 439, 440, 442, 444, 445, 446, 447, 449, 450, 451, 453, 454, 456, 460, 461, 462, 464, 466, 467, 473, 474, 475, 476, 477, 478, 485, 493, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 519, 520, 521, 522, 523, 525, 529, 539, 547, 554, 555, 556, 557, 561, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 583, 585, 588, 590, 593, 595, 596, 597, 599, 600, 601, 602, 603, 604, 606, 617, 621, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 641, 654, 655, 656, 657, 658, 659, 661, 662, 663, 664, 665, 666, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 687, 688, 689, 690, 691, 693, 694, 697, 700, 701, 702, 707, 721, 723, 724, 725, 726, 727, 728, 731, 733, 735, 736, 737, 738, 739, 740, 750, 753, 754, 755, 762, 764, 772, 777, 781, 782, 788, 793, 798, 850, 851, 853, 854, 855, 856, 857, 858, 859, 860, 864, 865, 866, 867, 869, 870, 871, 872, 873, 875, 879, 880, 881, 886, 887, 888, 889, 890, 892, 893, 894, 895, 896, 898, 899, 900, 901, 902, 903, 904, 905, 909, 910, 911, 912, 914, 915, 916, 918, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 957, 961, 962, 963, 965, 968, 969, 970, 971, 972, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 991, 992, 993, 994, 995, 996, 997, 998, 1001, 1005, 1008, 1009, 1010, 1011, 1012, 1013, 1039, 1040, 1042, 1043, 1045, 1046, 1048, 1049, 1050, 1064, 1069, 1073, 1075, 1084, 1085, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1101, 1102, 1103, 1105, 1106, 1107, 1108, 1111, 1112, 1114, 1117, 1118, 1120, 1122, 1123, 1126, 1127, 1128, 1129, 1131, 1132, 1133, 1136, 1139, 1141, 1142, 1143, 1157, 1160, 1164, 1171, 1172, 1173, 1179, 1181, 1185, 1186, 1188, 1190, 1192, 1193, 1194, 1195, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1208, 1213, 1221, 1224, 1228, 1229, 1233, 1235, 1241, 1248, 1266, 1275, 1276, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1326, 1327, 1329, 1330, 1331, 1332, 1334, 1335, 1336, 1339, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1369, 1370, 1371, 1377, 1381, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1393, 1395, 1396, 1398, 1402, 1403, 1404, 1405, 1407, 1408, 1410, 1411, 1412, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1430, 1432, 1434], "mpl_toolkit": 2, "mplot_3d": 2, "pyplot": [2, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 77, 81, 82, 83, 84, 85, 89, 90, 94, 98, 1045, 1136, 1139, 1141, 1332, 1402, 1415, 1420, 1436], "plt": [2, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 77, 81, 82, 83, 84, 85, 89, 90, 94, 98, 1136, 1139, 1141, 1332, 1416, 1436], "mplot3d": 2, "axes3d": 2, "The": [2, 5, 8, 9, 13, 14, 15, 16, 17, 26, 28, 35, 39, 41, 44, 45, 46, 53, 54, 55, 56, 58, 66, 70, 71, 72, 81, 85, 87, 89, 93, 94, 95, 98, 100, 102, 103, 104, 105, 106, 107, 108, 111, 112, 113, 115, 116, 126, 129, 133, 142, 143, 144, 145, 146, 149, 152, 153, 154, 155, 156, 159, 160, 165, 166, 167, 168, 169, 171, 172, 176, 177, 181, 185, 186, 187, 188, 189, 190, 191, 194, 197, 198, 199, 200, 201, 205, 207, 208, 209, 211, 212, 213, 214, 218, 219, 220, 221, 222, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 253, 254, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 361, 363, 364, 365, 366, 367, 373, 375, 376, 379, 380, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 395, 396, 403, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 430, 431, 434, 435, 436, 437, 438, 439, 440, 442, 443, 444, 445, 446, 447, 448, 449, 450, 452, 454, 455, 456, 458, 460, 461, 462, 463, 464, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 482, 483, 484, 487, 488, 489, 491, 493, 496, 497, 498, 499, 500, 501, 502, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 526, 527, 536, 537, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 583, 584, 585, 586, 587, 588, 589, 590, 592, 595, 596, 599, 600, 601, 602, 603, 605, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 620, 621, 623, 627, 628, 629, 631, 634, 635, 637, 638, 640, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 700, 701, 703, 704, 705, 706, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 719, 720, 721, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 751, 753, 754, 755, 762, 763, 764, 772, 782, 788, 791, 793, 798, 851, 852, 854, 855, 856, 859, 860, 864, 865, 866, 867, 868, 869, 871, 872, 873, 875, 876, 877, 878, 879, 880, 881, 884, 887, 888, 889, 890, 893, 894, 896, 897, 899, 900, 901, 904, 905, 909, 910, 911, 912, 913, 914, 916, 918, 919, 920, 921, 923, 926, 927, 930, 932, 933, 935, 936, 937, 940, 941, 945, 946, 947, 948, 949, 950, 952, 953, 954, 956, 957, 958, 959, 960, 961, 962, 963, 966, 969, 970, 971, 972, 976, 978, 979, 981, 982, 983, 986, 987, 991, 992, 993, 994, 995, 996, 998, 1000, 1001, 1002, 1003, 1004, 1006, 1009, 1010, 1013, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1039, 1040, 1041, 1042, 1043, 1044, 1046, 1048, 1049, 1050, 1057, 1058, 1062, 1063, 1064, 1069, 1071, 1073, 1075, 1080, 1083, 1085, 1088, 1089, 1091, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1111, 1112, 1115, 1116, 1118, 1119, 1120, 1121, 1123, 1127, 1128, 1129, 1131, 1132, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1157, 1160, 1163, 1166, 1168, 1169, 1170, 1171, 1173, 1174, 1176, 1178, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1268, 1269, 1270, 1272, 1274, 1275, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1304, 1305, 1307, 1308, 1309, 1313, 1316, 1318, 1323, 1324, 1325, 1326, 1327, 1329, 1332, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1359, 1360, 1363, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1376, 1377, 1378, 1385, 1386, 1387, 1388, 1390, 1393, 1395, 1396, 1398, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1422, 1423, 1425, 1426, 1432, 1434, 1436], "779": 2, "extract": [2, 7, 39, 55, 59, 339, 382, 383, 425, 618, 693, 1420, 1428], "node_xyz": 2, "edge_xyz": 2, "u": [2, 5, 7, 16, 26, 27, 35, 39, 46, 47, 56, 59, 68, 71, 81, 90, 97, 103, 106, 107, 111, 115, 116, 133, 152, 153, 159, 169, 171, 172, 174, 175, 177, 186, 190, 193, 194, 203, 205, 208, 247, 248, 258, 259, 260, 262, 263, 265, 281, 283, 285, 286, 287, 288, 290, 292, 293, 296, 298, 299, 300, 306, 316, 317, 321, 323, 332, 334, 335, 358, 360, 373, 374, 376, 411, 413, 414, 418, 420, 424, 432, 433, 442, 452, 457, 466, 468, 471, 472, 473, 474, 475, 476, 477, 483, 487, 490, 491, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 508, 509, 510, 511, 512, 522, 523, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 587, 589, 590, 597, 599, 602, 603, 606, 607, 609, 610, 612, 613, 617, 623, 627, 628, 629, 632, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 674, 675, 678, 679, 681, 687, 690, 691, 694, 696, 705, 706, 713, 719, 720, 721, 730, 736, 738, 750, 762, 798, 855, 856, 859, 867, 868, 869, 872, 876, 880, 883, 884, 892, 893, 894, 900, 901, 904, 912, 913, 914, 919, 922, 923, 928, 930, 936, 937, 940, 948, 949, 950, 953, 956, 958, 962, 965, 966, 974, 975, 976, 982, 983, 986, 994, 995, 996, 1000, 1002, 1005, 1006, 1011, 1013, 1040, 1042, 1043, 1045, 1059, 1067, 1087, 1088, 1157, 1171, 1185, 1191, 1194, 1199, 1201, 1204, 1223, 1225, 1228, 1231, 1239, 1241, 1247, 1281, 1284, 1285, 1288, 1302, 1306, 1313, 1330, 1332, 1334, 1338, 1353, 1362, 1363, 1402, 1403, 1413, 1415, 1436], "creat": [2, 7, 27, 28, 31, 32, 33, 39, 40, 42, 46, 56, 64, 68, 76, 77, 83, 93, 94, 98, 100, 101, 102, 103, 104, 105, 107, 108, 112, 166, 168, 185, 197, 200, 203, 205, 227, 233, 275, 284, 343, 352, 353, 382, 392, 394, 408, 433, 469, 496, 500, 501, 511, 512, 514, 525, 590, 602, 614, 617, 618, 649, 693, 694, 695, 696, 741, 788, 798, 852, 864, 866, 875, 887, 889, 892, 893, 897, 909, 911, 918, 927, 928, 929, 933, 936, 945, 947, 948, 953, 957, 962, 969, 971, 974, 975, 979, 982, 991, 993, 994, 1001, 1010, 1011, 1012, 1039, 1040, 1042, 1043, 1044, 1045, 1064, 1066, 1069, 1085, 1091, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1105, 1107, 1121, 1122, 1123, 1125, 1129, 1130, 1131, 1132, 1134, 1141, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1168, 1169, 1171, 1173, 1174, 1176, 1179, 1181, 1183, 1184, 1186, 1187, 1188, 1189, 1190, 1192, 1193, 1194, 1196, 1197, 1198, 1200, 1202, 1203, 1204, 1206, 1207, 1217, 1219, 1221, 1223, 1226, 1228, 1231, 1239, 1247, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1278, 1279, 1297, 1300, 1301, 1302, 1308, 1317, 1332, 1334, 1338, 1339, 1342, 1343, 1344, 1368, 1370, 1376, 1377, 1381, 1388, 1404, 1409, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1428, 1434], "fig": [2, 6, 26, 27, 28, 33, 35, 39, 51, 57, 62, 71, 83, 84, 94, 1141], "ax": [2, 6, 22, 26, 27, 28, 29, 33, 34, 35, 39, 46, 47, 51, 55, 56, 57, 58, 59, 62, 71, 84, 312, 313, 1115, 1136, 1139, 1140, 1141, 1142, 1143, 1217, 1415, 1419, 1420, 1422, 1423], "add_subplot": [2, 28, 83], "111": [2, 12, 40, 48, 490, 492, 731, 733], "project": [2, 9, 16, 35, 53, 93, 94, 95, 97, 98, 100, 101, 108, 111, 112, 285, 286, 287, 288, 289, 290, 459, 693, 760, 1334, 1404, 1410, 1415, 1422, 1423, 1434], "plot": [2, 27, 28, 34, 35, 41, 51, 55, 56, 57, 58, 59, 71, 81, 85, 94, 106, 1417, 1419, 1422, 1434, 1436], "alpha": [2, 6, 8, 17, 26, 28, 29, 34, 36, 40, 41, 46, 47, 55, 69, 72, 82, 84, 85, 213, 231, 232, 306, 325, 326, 327, 343, 567, 568, 571, 594, 1139, 1140, 1141, 1142, 1143, 1191, 1192, 1205, 1275, 1289, 1290, 1325, 1410, 1415, 1416, 1417, 1434], "i": [2, 5, 6, 7, 8, 9, 11, 13, 14, 16, 17, 22, 25, 26, 27, 28, 29, 35, 37, 39, 40, 42, 44, 45, 46, 51, 53, 55, 56, 57, 58, 59, 64, 65, 68, 69, 70, 72, 81, 84, 89, 90, 92, 93, 94, 95, 96, 97, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115, 116, 117, 121, 122, 128, 129, 133, 134, 142, 144, 145, 147, 150, 153, 154, 155, 156, 157, 158, 159, 160, 162, 165, 166, 167, 168, 169, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 185, 186, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 251, 252, 253, 255, 256, 257, 258, 259, 260, 261, 262, 263, 265, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 529, 532, 533, 534, 536, 537, 539, 542, 543, 544, 546, 547, 551, 552, 557, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 595, 596, 597, 598, 599, 600, 602, 603, 604, 606, 607, 608, 609, 610, 611, 612, 613, 615, 616, 617, 618, 619, 620, 621, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 641, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 704, 705, 706, 708, 709, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 723, 724, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 748, 750, 751, 753, 754, 755, 756, 762, 763, 764, 769, 777, 782, 784, 788, 791, 793, 798, 850, 851, 852, 856, 857, 858, 859, 860, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 901, 902, 903, 904, 905, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 936, 937, 938, 939, 940, 941, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 982, 983, 984, 985, 986, 987, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1014, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1039, 1040, 1042, 1043, 1044, 1045, 1046, 1048, 1049, 1050, 1057, 1058, 1059, 1061, 1063, 1065, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1087, 1088, 1089, 1090, 1091, 1094, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1121, 1122, 1127, 1128, 1129, 1131, 1133, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1221, 1222, 1223, 1224, 1225, 1226, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1297, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1308, 1309, 1313, 1316, 1317, 1318, 1323, 1324, 1325, 1326, 1327, 1329, 1330, 1331, 1332, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1376, 1377, 1378, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1390, 1391, 1394, 1395, 1396, 1398, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "scale": [2, 27, 129, 300, 323, 327, 328, 332, 347, 376, 380, 440, 498, 677, 678, 686, 687, 760, 1045, 1109, 1110, 1111, 1112, 1113, 1115, 1116, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1139, 1141, 1143, 1181, 1192, 1199, 1229, 1240, 1329, 1403, 1405, 1410, 1411, 1415, 1416, 1421, 1422], "depth": [2, 340, 348, 349, 354, 365, 367, 389, 391, 392, 396, 407, 408, 452, 514, 639, 640, 642, 643, 644, 645, 646, 679, 680, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 720, 741, 760, 1387, 1388, 1404, 1413, 1415, 1418, 1436], "automat": [2, 53, 56, 94, 95, 152, 602, 798, 855, 900, 936, 982, 1040, 1041, 1042, 1043, 1044, 1100, 1387, 1405, 1415, 1416, 1417], "scatter": [2, 35, 1045, 1139, 1143], "t": [2, 7, 14, 22, 33, 35, 41, 68, 71, 81, 93, 94, 95, 96, 98, 100, 102, 103, 105, 106, 108, 110, 111, 116, 142, 157, 169, 171, 177, 185, 190, 217, 225, 227, 239, 244, 258, 289, 292, 293, 298, 299, 306, 307, 308, 316, 329, 332, 344, 348, 349, 358, 361, 385, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 444, 445, 446, 447, 449, 455, 464, 470, 483, 484, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 508, 509, 510, 511, 512, 547, 563, 564, 565, 575, 594, 595, 616, 620, 621, 635, 672, 677, 686, 688, 690, 697, 700, 710, 718, 722, 730, 732, 733, 737, 739, 750, 752, 763, 798, 857, 867, 868, 872, 875, 880, 902, 912, 913, 918, 938, 948, 949, 950, 953, 957, 962, 966, 984, 994, 995, 996, 1001, 1006, 1040, 1042, 1043, 1066, 1087, 1120, 1181, 1183, 1185, 1207, 1208, 1213, 1214, 1219, 1221, 1222, 1228, 1275, 1278, 1289, 1290, 1302, 1308, 1332, 1337, 1340, 1410, 1412, 1413, 1415, 1416, 1419, 1420, 1421, 1422, 1423, 1425, 1434], "": [2, 8, 10, 11, 16, 25, 35, 39, 41, 45, 53, 56, 59, 66, 67, 68, 69, 70, 89, 92, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 106, 107, 108, 111, 116, 117, 142, 152, 153, 158, 159, 166, 196, 208, 215, 216, 217, 218, 221, 225, 227, 228, 231, 232, 236, 258, 259, 260, 278, 282, 283, 285, 287, 289, 292, 293, 298, 299, 300, 306, 307, 308, 316, 317, 318, 319, 320, 321, 323, 327, 332, 344, 354, 364, 387, 392, 394, 401, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 429, 430, 436, 443, 444, 445, 446, 447, 448, 449, 450, 451, 455, 459, 466, 472, 478, 480, 496, 497, 499, 500, 501, 502, 503, 504, 505, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 519, 520, 521, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 571, 579, 610, 620, 627, 630, 631, 632, 635, 655, 656, 657, 658, 661, 662, 669, 677, 681, 687, 688, 689, 690, 691, 700, 701, 712, 713, 714, 715, 716, 717, 734, 735, 736, 737, 738, 739, 760, 763, 793, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 855, 856, 858, 859, 864, 886, 894, 900, 901, 903, 904, 909, 925, 930, 933, 936, 937, 939, 940, 945, 949, 968, 976, 979, 982, 983, 985, 986, 991, 995, 1008, 1013, 1042, 1043, 1048, 1049, 1050, 1088, 1089, 1108, 1120, 1127, 1128, 1129, 1139, 1141, 1142, 1152, 1163, 1171, 1174, 1176, 1179, 1183, 1186, 1188, 1189, 1190, 1209, 1225, 1226, 1227, 1232, 1241, 1245, 1270, 1273, 1275, 1281, 1282, 1283, 1288, 1302, 1319, 1326, 1327, 1331, 1332, 1334, 1347, 1361, 1362, 1363, 1365, 1367, 1368, 1371, 1377, 1387, 1390, 1395, 1403, 1404, 1406, 1407, 1414, 1415, 1416, 1418, 1421, 1422, 1423, 1425, 1436], "100": [2, 5, 7, 14, 28, 32, 33, 35, 41, 44, 94, 102, 110, 231, 232, 312, 313, 375, 499, 503, 506, 507, 510, 566, 568, 600, 627, 686, 695, 696, 798, 1040, 1042, 1043, 1174, 1181, 1185, 1192, 1203, 1231, 1243, 1244, 1293, 1308, 1329, 1414, 1422, 1423, 1434, 1436], "ec": [2, 26, 1140], "w": [2, 9, 39, 50, 56, 65, 67, 68, 72, 90, 115, 133, 142, 159, 165, 178, 184, 207, 220, 227, 236, 240, 241, 268, 278, 279, 281, 286, 290, 302, 303, 309, 310, 327, 354, 358, 360, 364, 376, 379, 469, 470, 471, 478, 479, 480, 481, 498, 510, 569, 570, 574, 575, 576, 587, 589, 595, 620, 678, 689, 690, 691, 705, 859, 904, 940, 986, 1179, 1185, 1199, 1204, 1206, 1213, 1216, 1223, 1225, 1231, 1239, 1241, 1247, 1273, 1306, 1343, 1403, 1414, 1419, 1421, 1422, 1423, 1429, 1430, 1436], "vizedg": 2, "tab": [2, 13, 33, 34, 36, 39, 84, 1422], "grai": [2, 33, 36, 70, 1045], "def": [2, 5, 7, 8, 11, 14, 17, 26, 35, 37, 39, 46, 50, 68, 69, 70, 72, 81, 85, 89, 90, 94, 98, 102, 103, 104, 286, 376, 502, 588, 620, 621, 628, 656, 678, 682, 798, 1039, 1040, 1042, 1043, 1091, 1157, 1160, 1241, 1302, 1303, 1304, 1305, 1306, 1307, 1326, 1327, 1417, 1422], "_format_ax": 2, "option": [2, 5, 8, 22, 30, 31, 36, 44, 56, 66, 70, 72, 83, 84, 85, 89, 94, 100, 101, 102, 105, 110, 112, 113, 152, 153, 157, 158, 159, 166, 167, 169, 176, 177, 185, 186, 189, 190, 197, 199, 205, 207, 217, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 250, 253, 257, 259, 261, 262, 263, 266, 267, 268, 269, 270, 272, 273, 274, 275, 276, 277, 281, 283, 290, 291, 294, 295, 296, 297, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 339, 340, 346, 348, 349, 352, 353, 354, 355, 356, 357, 358, 359, 360, 362, 375, 382, 383, 385, 386, 387, 393, 398, 412, 415, 416, 417, 424, 435, 436, 437, 438, 451, 459, 460, 461, 466, 469, 470, 472, 473, 474, 475, 476, 477, 478, 490, 493, 504, 505, 508, 509, 513, 521, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 583, 585, 590, 595, 599, 606, 617, 623, 626, 627, 630, 631, 632, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 654, 658, 662, 663, 664, 666, 669, 670, 671, 672, 679, 680, 683, 684, 685, 686, 687, 689, 690, 691, 692, 693, 694, 695, 696, 697, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 736, 738, 798, 852, 855, 856, 857, 858, 859, 864, 865, 867, 871, 872, 875, 876, 879, 880, 887, 888, 893, 897, 900, 901, 902, 903, 904, 909, 910, 912, 918, 919, 926, 929, 933, 936, 937, 938, 939, 940, 945, 946, 948, 949, 950, 952, 953, 957, 958, 961, 962, 965, 969, 970, 975, 979, 982, 983, 984, 985, 986, 991, 992, 994, 995, 996, 1001, 1002, 1005, 1009, 1039, 1040, 1042, 1043, 1045, 1055, 1056, 1057, 1073, 1075, 1087, 1088, 1089, 1091, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1111, 1114, 1118, 1120, 1121, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1174, 1175, 1176, 1179, 1181, 1183, 1184, 1186, 1187, 1188, 1189, 1190, 1192, 1195, 1196, 1197, 1198, 1199, 1202, 1203, 1204, 1205, 1206, 1207, 1213, 1217, 1219, 1221, 1223, 1228, 1230, 1234, 1236, 1237, 1238, 1241, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1305, 1308, 1311, 1312, 1326, 1327, 1334, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1354, 1355, 1356, 1361, 1364, 1369, 1375, 1376, 1377, 1378, 1382, 1396, 1402, 1403, 1404, 1407, 1408, 1411, 1413, 1415, 1416, 1417, 1418, 1421, 1422, 1423, 1425, 1434, 1436], "turn": [2, 53, 56, 93, 100, 221, 235, 339, 1048, 1120, 1139, 1140, 1141, 1142, 1278, 1418, 1421], "gridlin": 2, "off": [2, 6, 7, 17, 22, 26, 27, 34, 36, 40, 47, 51, 55, 56, 58, 59, 110, 473, 474, 475, 476, 477, 579, 1120, 1139, 1141, 1170, 1268, 1415, 1433], "grid": [2, 21, 24, 44, 48, 55, 59, 74, 79, 87, 430, 478, 616, 1201, 1217, 1218, 1219, 1221, 1277, 1329, 1415, 1417], "fals": [2, 6, 7, 10, 15, 30, 31, 33, 35, 37, 41, 71, 81, 82, 85, 103, 146, 147, 149, 150, 166, 169, 172, 177, 179, 185, 190, 197, 203, 205, 209, 233, 238, 239, 243, 244, 246, 250, 251, 255, 266, 267, 269, 273, 276, 287, 288, 289, 292, 295, 298, 299, 308, 311, 316, 327, 332, 337, 345, 355, 357, 364, 389, 391, 392, 395, 396, 397, 398, 399, 400, 422, 423, 424, 464, 465, 466, 469, 473, 474, 476, 477, 481, 490, 491, 493, 494, 496, 500, 501, 511, 512, 515, 516, 517, 518, 519, 520, 522, 523, 524, 551, 552, 553, 555, 557, 564, 583, 586, 587, 588, 589, 590, 615, 616, 618, 619, 624, 627, 638, 654, 665, 681, 698, 700, 701, 706, 710, 721, 725, 726, 727, 728, 730, 732, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 748, 763, 850, 864, 867, 869, 872, 875, 880, 887, 892, 893, 895, 909, 912, 914, 918, 928, 929, 931, 933, 945, 948, 950, 953, 957, 962, 969, 974, 975, 977, 979, 991, 994, 996, 1001, 1011, 1012, 1038, 1039, 1042, 1043, 1066, 1071, 1073, 1075, 1086, 1087, 1088, 1089, 1091, 1092, 1093, 1094, 1100, 1101, 1104, 1119, 1121, 1139, 1141, 1160, 1174, 1175, 1176, 1179, 1185, 1195, 1214, 1217, 1218, 1219, 1221, 1230, 1234, 1236, 1237, 1238, 1281, 1282, 1283, 1284, 1285, 1288, 1301, 1302, 1303, 1306, 1313, 1315, 1318, 1319, 1341, 1342, 1345, 1348, 1358, 1360, 1361, 1362, 1363, 1364, 1366, 1367, 1368, 1369, 1370, 1384, 1386, 1387, 1388, 1402, 1403, 1406, 1408, 1410, 1415, 1422, 1425, 1426, 1432, 1434], "suppress": [2, 27, 102], "tick": [2, 1419, 1420], "label": [2, 6, 7, 8, 16, 17, 24, 26, 35, 47, 48, 78, 87, 98, 152, 153, 228, 266, 267, 268, 284, 288, 362, 380, 381, 393, 402, 462, 503, 510, 511, 513, 514, 590, 593, 594, 597, 623, 641, 642, 643, 645, 653, 654, 657, 658, 659, 660, 662, 666, 668, 669, 671, 713, 730, 731, 733, 741, 760, 762, 772, 793, 855, 856, 900, 901, 936, 937, 982, 983, 1045, 1084, 1088, 1089, 1127, 1128, 1129, 1136, 1139, 1140, 1141, 1142, 1143, 1151, 1155, 1162, 1166, 1167, 1169, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1228, 1261, 1300, 1301, 1329, 1332, 1335, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1359, 1360, 1375, 1376, 1377, 1378, 1385, 1386, 1387, 1388, 1396, 1403, 1408, 1413, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1436], "xaxi": 2, "yaxi": 2, "zaxi": 2, "set_tick": 2, "set": [2, 4, 5, 7, 11, 17, 18, 22, 25, 26, 27, 29, 33, 34, 45, 53, 54, 55, 58, 59, 60, 66, 72, 78, 84, 87, 89, 94, 98, 100, 102, 104, 106, 111, 115, 116, 117, 128, 133, 142, 145, 157, 158, 160, 165, 169, 185, 190, 191, 196, 200, 201, 207, 208, 210, 212, 213, 219, 220, 221, 222, 223, 224, 225, 227, 228, 229, 230, 231, 232, 233, 236, 252, 253, 254, 256, 258, 259, 260, 261, 265, 266, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 296, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 316, 317, 318, 319, 320, 321, 324, 332, 337, 339, 340, 344, 352, 354, 364, 368, 372, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 390, 392, 393, 394, 401, 402, 407, 408, 409, 412, 413, 414, 416, 417, 418, 419, 424, 427, 428, 429, 430, 432, 433, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 456, 458, 459, 462, 463, 467, 472, 473, 476, 485, 486, 496, 499, 502, 508, 514, 516, 517, 520, 548, 549, 550, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 583, 584, 585, 588, 590, 591, 595, 596, 600, 601, 603, 604, 605, 607, 609, 610, 612, 613, 616, 617, 618, 620, 621, 635, 642, 662, 663, 664, 672, 677, 683, 690, 691, 692, 693, 705, 711, 719, 720, 721, 722, 733, 734, 740, 747, 751, 754, 760, 762, 764, 798, 801, 802, 806, 807, 810, 811, 814, 815, 818, 819, 822, 823, 827, 828, 832, 833, 837, 838, 842, 843, 847, 848, 857, 858, 860, 867, 875, 880, 881, 886, 889, 890, 894, 902, 903, 905, 912, 918, 925, 927, 930, 938, 939, 941, 948, 957, 962, 963, 968, 971, 972, 976, 984, 985, 987, 994, 1001, 1008, 1010, 1013, 1040, 1041, 1042, 1043, 1045, 1046, 1069, 1088, 1089, 1097, 1100, 1105, 1106, 1109, 1110, 1114, 1120, 1127, 1129, 1139, 1143, 1154, 1171, 1185, 1186, 1191, 1195, 1201, 1205, 1209, 1210, 1211, 1212, 1223, 1224, 1225, 1232, 1237, 1241, 1242, 1263, 1276, 1279, 1284, 1285, 1293, 1294, 1301, 1302, 1307, 1309, 1310, 1311, 1316, 1328, 1330, 1331, 1332, 1334, 1347, 1350, 1361, 1364, 1387, 1388, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1434, 1436], "set_xlabel": [2, 28], "set_ylabel": [2, 28], "set_zlabel": 2, "tight_layout": [2, 6, 10, 16, 26, 28, 33, 34, 36, 39, 41, 47, 62, 71, 83, 84], "show": [2, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 20, 21, 22, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 51, 55, 56, 57, 58, 59, 62, 63, 64, 66, 67, 69, 70, 71, 72, 76, 78, 81, 82, 83, 84, 85, 89, 90, 94, 327, 359, 493, 494, 614, 617, 1041, 1069, 1118, 1245, 1415, 1417, 1421, 1434, 1436], "077": [2, 3, 9, 18], "plot_bas": [2, 3], "00": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91, 314, 1395], "execut": [3, 5, 18, 23, 48, 52, 60, 73, 79, 86, 91, 94, 95, 108, 375, 380, 382, 383, 496, 500, 501, 511, 512, 566, 568, 673, 675, 1049, 1216, 1302, 1306, 1421, 1428], "auto_examples_3d_draw": 3, "file": [3, 18, 23, 26, 35, 41, 48, 50, 52, 54, 55, 58, 59, 60, 66, 67, 70, 72, 73, 76, 77, 78, 79, 85, 86, 87, 90, 91, 94, 98, 100, 112, 268, 269, 327, 798, 1040, 1042, 1043, 1045, 1048, 1049, 1124, 1126, 1129, 1133, 1135, 1149, 1150, 1204, 1302, 1306, 1330, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1358, 1360, 1362, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1384, 1386, 1388, 1389, 1390, 1391, 1395, 1398, 1402, 1403, 1406, 1407, 1410, 1413, 1415, 1416, 1420, 1421, 1422, 1428, 1433, 1434], "mb": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91], "beam": [4, 18, 87, 705, 760, 1416], "search": [4, 18, 87, 94, 111, 209, 216, 217, 231, 232, 340, 341, 343, 344, 345, 347, 348, 349, 350, 351, 354, 355, 389, 391, 392, 396, 407, 408, 424, 425, 452, 455, 491, 496, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 655, 658, 659, 662, 663, 664, 669, 670, 671, 672, 677, 679, 680, 682, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 724, 725, 726, 727, 728, 730, 760, 1326, 1327, 1332, 1415, 1416, 1421, 1422, 1423], "between": [4, 12, 18, 26, 27, 32, 35, 39, 44, 45, 53, 55, 56, 57, 59, 66, 72, 87, 95, 101, 102, 104, 108, 113, 115, 116, 133, 142, 146, 149, 152, 166, 186, 193, 194, 200, 211, 215, 216, 217, 218, 221, 226, 227, 228, 229, 230, 231, 232, 233, 250, 258, 262, 263, 282, 287, 288, 289, 296, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 315, 316, 317, 321, 323, 324, 328, 329, 331, 332, 373, 374, 376, 379, 382, 383, 387, 389, 391, 392, 396, 400, 410, 412, 416, 417, 419, 420, 421, 424, 430, 433, 444, 445, 446, 447, 449, 456, 462, 466, 478, 481, 487, 488, 489, 502, 510, 511, 513, 514, 531, 532, 535, 541, 542, 545, 555, 563, 565, 567, 571, 576, 578, 592, 603, 606, 610, 628, 629, 630, 631, 634, 637, 638, 639, 640, 641, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 655, 656, 657, 659, 661, 662, 663, 664, 667, 668, 669, 670, 671, 673, 675, 676, 678, 679, 680, 681, 682, 688, 693, 731, 733, 753, 755, 760, 762, 763, 764, 781, 788, 798, 855, 864, 876, 883, 884, 889, 900, 909, 919, 922, 923, 927, 936, 945, 948, 949, 950, 956, 958, 962, 965, 966, 971, 982, 991, 994, 995, 996, 1000, 1002, 1005, 1006, 1010, 1040, 1042, 1043, 1088, 1089, 1097, 1111, 1120, 1174, 1175, 1176, 1179, 1185, 1191, 1192, 1194, 1198, 1199, 1200, 1201, 1202, 1203, 1205, 1208, 1209, 1211, 1212, 1213, 1214, 1216, 1220, 1221, 1235, 1248, 1279, 1301, 1308, 1329, 1332, 1335, 1402, 1404, 1406, 1408, 1410, 1411, 1415, 1418, 1420, 1422, 1423, 1434, 1436], "central": [4, 14, 18, 57, 87, 258, 259, 260, 285, 297, 298, 299, 300, 301, 302, 303, 304, 305, 307, 308, 309, 310, 312, 313, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 373, 374, 376, 571, 705, 760, 1261, 1331, 1402, 1403, 1404, 1408, 1410, 1411, 1415, 1416, 1417, 1418, 1420, 1422, 1423, 1429, 1434], "blockmodel": [4, 18, 87, 590, 1179, 1415], "circuit": [4, 18, 87, 140, 228, 451, 454, 455, 490, 493, 494, 495, 518, 1411, 1415, 1416, 1422], "davi": [4, 18, 87, 92, 1271, 1407, 1415, 1419, 1421], "club": [4, 18, 61, 73, 87, 627, 760, 1273, 1331, 1406, 1407, 1415, 1423], "dedensif": [4, 18, 87, 692, 788, 1422], "iter": [4, 7, 14, 18, 33, 41, 46, 87, 89, 102, 103, 152, 153, 158, 159, 160, 161, 167, 168, 169, 176, 177, 181, 182, 185, 189, 190, 191, 192, 196, 200, 201, 202, 208, 209, 230, 231, 232, 236, 237, 238, 239, 240, 241, 242, 244, 245, 247, 248, 249, 261, 262, 263, 267, 269, 271, 285, 286, 287, 288, 289, 290, 292, 293, 296, 312, 313, 325, 339, 347, 348, 349, 358, 364, 365, 366, 367, 371, 375, 376, 377, 379, 380, 381, 387, 454, 455, 457, 466, 467, 468, 479, 486, 490, 491, 513, 514, 515, 516, 518, 525, 528, 538, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 588, 590, 591, 593, 594, 596, 597, 598, 599, 606, 616, 620, 621, 638, 640, 646, 648, 651, 668, 678, 679, 680, 693, 705, 706, 707, 708, 709, 710, 712, 713, 721, 735, 736, 738, 798, 851, 853, 855, 856, 858, 859, 860, 861, 865, 866, 867, 871, 872, 873, 874, 875, 879, 880, 881, 882, 886, 889, 890, 891, 894, 896, 898, 900, 901, 903, 904, 905, 906, 910, 911, 912, 916, 917, 918, 925, 927, 930, 932, 933, 934, 936, 937, 939, 940, 941, 942, 946, 947, 948, 952, 953, 954, 955, 957, 961, 962, 963, 964, 968, 971, 972, 973, 976, 978, 979, 980, 982, 983, 985, 986, 987, 988, 992, 993, 994, 998, 999, 1001, 1008, 1010, 1013, 1040, 1042, 1043, 1046, 1055, 1056, 1057, 1058, 1059, 1064, 1077, 1078, 1079, 1080, 1085, 1087, 1090, 1096, 1100, 1103, 1120, 1127, 1129, 1156, 1157, 1158, 1160, 1163, 1165, 1166, 1169, 1171, 1199, 1202, 1203, 1204, 1205, 1213, 1216, 1217, 1218, 1225, 1240, 1242, 1278, 1281, 1282, 1283, 1284, 1285, 1302, 1308, 1309, 1313, 1314, 1317, 1318, 1319, 1330, 1332, 1338, 1342, 1345, 1354, 1359, 1360, 1373, 1376, 1380, 1385, 1386, 1402, 1404, 1413, 1415, 1416, 1417, 1420, 1421, 1422, 1434, 1436], "dynam": [4, 5, 18, 87, 111, 694, 1172, 1173, 1231, 1247, 1347, 1348, 1350, 1389, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "system": [4, 18, 87, 94, 106, 108, 112, 347, 379, 518, 594, 1208, 1281, 1282, 1283, 1286, 1296, 1329, 1390, 1402, 1403, 1415, 1416, 1421, 1436], "krackhardt": [4, 18, 87, 1261], "maximum": [4, 11, 18, 87, 113, 116, 210, 211, 212, 213, 215, 216, 218, 223, 225, 228, 258, 260, 265, 278, 279, 280, 282, 289, 297, 305, 312, 313, 316, 317, 318, 319, 320, 322, 325, 330, 332, 341, 343, 344, 345, 348, 349, 354, 358, 363, 375, 379, 382, 384, 385, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 430, 442, 474, 475, 496, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 522, 523, 566, 568, 583, 585, 591, 593, 594, 672, 673, 674, 675, 676, 678, 693, 695, 696, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 722, 725, 726, 734, 736, 737, 738, 739, 742, 743, 751, 760, 770, 793, 1120, 1139, 1141, 1143, 1171, 1187, 1204, 1205, 1206, 1207, 1214, 1231, 1243, 1244, 1308, 1329, 1387, 1388, 1404, 1411, 1415, 1416, 1421, 1422], "independ": [4, 18, 66, 87, 102, 103, 113, 115, 133, 166, 210, 212, 213, 215, 216, 217, 221, 225, 250, 282, 339, 354, 368, 372, 420, 421, 481, 580, 591, 760, 762, 788, 864, 909, 945, 991, 1179, 1201, 1209, 1228, 1331, 1404, 1407, 1409, 1415], "parallel": [4, 18, 53, 57, 87, 108, 270, 272, 274, 277, 284, 347, 348, 349, 434, 435, 436, 437, 438, 439, 440, 445, 450, 587, 589, 603, 614, 627, 680, 695, 700, 701, 798, 946, 952, 961, 1039, 1040, 1041, 1091, 1101, 1104, 1105, 1106, 1140, 1181, 1183, 1228, 1245, 1251, 1281, 1282, 1283, 1287, 1348, 1359, 1360, 1362, 1363, 1397, 1402, 1415, 1422], "revers": [4, 18, 28, 68, 84, 85, 87, 178, 300, 312, 313, 317, 319, 325, 326, 392, 394, 401, 407, 408, 409, 452, 468, 638, 706, 710, 713, 719, 720, 754, 760, 1038, 1041, 1086, 1195, 1205, 1327, 1402, 1404, 1411, 1413, 1415, 1416, 1421, 1430, 1434], "cuthil": [4, 18, 87, 1326, 1327, 1331, 1408, 1415], "mckee": [4, 18, 87, 1326, 1327, 1331, 1408, 1415], "snap": [4, 18, 87, 693, 1422], "summari": [4, 18, 26, 87, 101, 105, 231, 232, 616, 618, 693, 788], "subgraph": [4, 6, 7, 18, 25, 26, 28, 51, 72, 81, 84, 85, 87, 128, 144, 145, 146, 147, 148, 149, 150, 168, 210, 212, 213, 221, 227, 301, 334, 335, 348, 349, 358, 390, 391, 392, 394, 408, 425, 427, 428, 429, 434, 435, 436, 437, 438, 439, 472, 489, 513, 514, 522, 523, 534, 535, 544, 545, 547, 590, 591, 611, 617, 618, 620, 621, 626, 635, 688, 697, 736, 738, 749, 760, 762, 763, 866, 911, 947, 993, 1039, 1041, 1064, 1069, 1085, 1091, 1105, 1106, 1108, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1152, 1163, 1195, 1222, 1408, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1423, 1428, 1434], "width": [5, 7, 16, 22, 26, 29, 30, 33, 34, 36, 39, 45, 47, 66, 69, 70, 71, 84, 302, 303, 309, 310, 705, 1045, 1062, 1109, 1139, 1141, 1143, 1332, 1403, 1415, 1418, 1422, 1423, 1436], "progress": [5, 94, 100, 101, 105, 376, 1046, 1196], "widen": 5, "repeatedli": [5, 210, 221, 368, 372, 380, 385, 452, 621, 712, 713, 714, 715, 716, 717, 719, 720, 731, 733], "increas": [5, 44, 95, 98, 108, 231, 232, 294, 295, 314, 382, 383, 385, 386, 389, 392, 396, 514, 665, 694, 721, 730, 735, 788, 956, 1000, 1119, 1120, 1143, 1149, 1150, 1158, 1181, 1183, 1191, 1213, 1216, 1225, 1228, 1247, 1300, 1415, 1422, 1433], "until": [5, 11, 216, 217, 223, 270, 274, 277, 375, 382, 385, 386, 452, 514, 693, 712, 713, 714, 715, 716, 717, 719, 720, 763, 1120, 1171, 1194, 1231, 1243, 1244, 1403, 1420], "target": [5, 20, 51, 72, 215, 216, 217, 240, 241, 242, 243, 244, 245, 248, 292, 293, 298, 299, 303, 306, 308, 310, 316, 332, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 430, 504, 505, 508, 509, 590, 593, 594, 621, 628, 629, 630, 632, 633, 634, 636, 637, 638, 639, 640, 641, 642, 643, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 661, 662, 663, 666, 667, 668, 669, 670, 678, 679, 680, 682, 693, 754, 1103, 1107, 1141, 1188, 1190, 1213, 1216, 1275, 1301, 1335, 1344, 1351, 1356, 1367, 1368, 1369, 1370, 1396, 1406, 1408, 1415, 1416, 1420, 1421, 1425, 1434], "found": [5, 26, 35, 41, 46, 70, 72, 85, 92, 95, 97, 101, 113, 129, 145, 146, 149, 171, 209, 210, 214, 216, 217, 227, 233, 251, 265, 294, 334, 335, 341, 342, 344, 348, 375, 380, 382, 424, 425, 437, 442, 452, 456, 498, 499, 503, 506, 507, 510, 521, 532, 536, 542, 546, 571, 583, 585, 626, 627, 659, 679, 680, 693, 735, 736, 737, 738, 739, 868, 913, 949, 950, 995, 996, 1121, 1171, 1212, 1224, 1225, 1241, 1243, 1244, 1276, 1329, 1348, 1362, 1390, 1402, 1414, 1420, 1423, 1426, 1436], "math": [5, 36, 45, 69, 84, 325, 326, 327, 446, 492, 514, 516, 520, 554, 555, 556, 608, 610, 620, 621, 695, 1201, 1203, 1204, 1230, 1234, 1238, 1332, 1423, 1429], "progressive_widening_search": 5, "valu": [5, 6, 7, 11, 16, 26, 29, 35, 40, 50, 57, 62, 66, 68, 72, 81, 84, 85, 89, 95, 96, 97, 98, 100, 101, 102, 104, 108, 116, 142, 144, 145, 152, 157, 160, 167, 169, 171, 176, 177, 181, 185, 189, 190, 191, 199, 201, 209, 215, 216, 217, 221, 223, 224, 231, 232, 233, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 258, 259, 260, 262, 263, 266, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 281, 282, 283, 284, 285, 290, 291, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 317, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 333, 334, 335, 336, 338, 348, 354, 357, 358, 359, 360, 362, 363, 364, 373, 374, 376, 382, 383, 384, 385, 386, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 430, 431, 434, 454, 460, 462, 464, 467, 472, 473, 474, 475, 476, 477, 478, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 519, 521, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 583, 588, 590, 595, 596, 597, 599, 600, 602, 603, 606, 617, 621, 627, 628, 629, 631, 634, 635, 637, 638, 640, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 682, 684, 687, 689, 690, 693, 705, 715, 717, 723, 724, 725, 726, 727, 728, 751, 752, 753, 754, 777, 798, 852, 855, 857, 860, 865, 867, 868, 871, 872, 873, 875, 879, 880, 881, 888, 890, 897, 900, 902, 905, 910, 912, 913, 916, 918, 926, 933, 938, 941, 946, 948, 949, 952, 953, 954, 957, 961, 962, 963, 970, 972, 979, 984, 987, 992, 994, 995, 998, 1001, 1009, 1022, 1023, 1024, 1025, 1040, 1041, 1042, 1043, 1045, 1046, 1062, 1087, 1088, 1089, 1097, 1103, 1104, 1105, 1106, 1108, 1111, 1115, 1117, 1118, 1119, 1120, 1121, 1136, 1139, 1140, 1141, 1142, 1143, 1160, 1171, 1199, 1200, 1202, 1203, 1204, 1213, 1215, 1216, 1217, 1218, 1230, 1234, 1235, 1238, 1245, 1275, 1277, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1301, 1302, 1305, 1307, 1309, 1316, 1317, 1321, 1323, 1324, 1325, 1330, 1332, 1334, 1341, 1343, 1344, 1345, 1346, 1347, 1348, 1351, 1352, 1353, 1354, 1355, 1356, 1361, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1387, 1388, 1390, 1402, 1403, 1405, 1408, 1410, 1411, 1413, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1434, 1436], "condit": [5, 111, 133, 302, 303, 309, 310, 385, 456, 493, 519, 520, 547, 617, 1171, 1202, 1203, 1204, 1214, 1215, 1221, 1421, 1425], "initial_width": 5, "find": [5, 7, 17, 26, 31, 40, 70, 85, 94, 97, 100, 101, 102, 113, 116, 117, 118, 120, 122, 126, 128, 129, 131, 145, 146, 149, 211, 212, 213, 214, 216, 217, 221, 223, 227, 228, 230, 231, 232, 233, 250, 265, 279, 313, 325, 326, 332, 345, 348, 349, 354, 362, 368, 376, 378, 379, 381, 382, 385, 386, 387, 389, 391, 392, 396, 407, 408, 412, 416, 424, 425, 426, 427, 428, 429, 430, 442, 451, 452, 454, 455, 466, 470, 485, 493, 496, 498, 500, 501, 503, 504, 505, 507, 510, 511, 512, 514, 521, 523, 577, 583, 584, 621, 626, 628, 630, 631, 632, 638, 649, 655, 656, 657, 659, 661, 662, 663, 664, 665, 669, 670, 671, 677, 678, 682, 695, 696, 707, 722, 734, 736, 737, 738, 739, 759, 762, 763, 767, 770, 782, 788, 793, 1058, 1079, 1080, 1171, 1328, 1332, 1334, 1387, 1401, 1404, 1406, 1408, 1409, 1413, 1415, 1416, 1417, 1422, 1423, 1434, 1436], "involv": [5, 93, 94, 96, 101, 102, 103, 104, 108, 301, 333, 551, 638], "repeat": [5, 11, 93, 95, 214, 221, 223, 679, 680, 682, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1186, 1191, 1194, 1225, 1231, 1248, 1396, 1408, 1410, 1411, 1422], "start": [5, 11, 14, 37, 68, 93, 94, 97, 102, 103, 113, 154, 155, 207, 216, 218, 223, 228, 230, 231, 232, 268, 269, 275, 301, 312, 325, 334, 335, 373, 374, 385, 440, 451, 483, 484, 485, 490, 491, 493, 566, 568, 585, 597, 628, 629, 633, 634, 636, 637, 638, 641, 642, 643, 644, 652, 653, 654, 655, 656, 657, 658, 659, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 679, 680, 682, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 730, 1045, 1117, 1118, 1131, 1132, 1151, 1170, 1177, 1181, 1183, 1184, 1187, 1192, 1205, 1228, 1229, 1233, 1235, 1246, 1248, 1278, 1300, 1302, 1326, 1327, 1329, 1332, 1343, 1344, 1345, 1346, 1387, 1388, 1404, 1415, 1417, 1419, 1422, 1436], "small": [5, 67, 89, 100, 102, 106, 232, 235, 264, 300, 333, 354, 357, 412, 416, 473, 474, 475, 476, 477, 487, 488, 489, 522, 523, 595, 683, 684, 686, 705, 751, 760, 763, 788, 1172, 1173, 1199, 1201, 1230, 1231, 1234, 1236, 1238, 1239, 1247, 1266, 1273, 1331, 1398, 1407, 1411, 1415, 1416, 1418, 1420, 1422, 1423], "extend": [5, 54, 87, 100, 107, 265, 428, 442, 452, 532, 542, 680, 687, 706, 719, 720, 1198, 1235, 1351, 1354, 1355, 1356, 1390, 1416, 1422], "larger": [5, 101, 103, 108, 162, 382, 383, 385, 386, 387, 513, 514, 627, 793, 1118, 1120, 1127, 1199, 1302, 1422], "thi": [5, 7, 8, 11, 14, 17, 28, 33, 35, 42, 44, 45, 46, 50, 54, 55, 56, 57, 58, 59, 62, 64, 66, 68, 70, 71, 72, 77, 81, 82, 84, 85, 87, 89, 92, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 116, 126, 133, 144, 145, 153, 157, 158, 159, 160, 162, 163, 165, 166, 167, 168, 169, 171, 172, 174, 175, 176, 180, 181, 186, 189, 190, 191, 196, 201, 203, 204, 205, 206, 207, 208, 211, 212, 214, 215, 216, 217, 220, 221, 223, 225, 227, 228, 229, 230, 231, 232, 233, 236, 237, 242, 245, 249, 250, 252, 256, 259, 261, 265, 267, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 284, 286, 289, 291, 292, 293, 294, 295, 297, 298, 300, 302, 303, 304, 306, 307, 309, 310, 311, 312, 313, 316, 323, 324, 325, 326, 327, 328, 329, 331, 333, 334, 335, 337, 340, 343, 347, 348, 349, 353, 354, 357, 358, 359, 360, 362, 363, 364, 368, 372, 373, 374, 375, 376, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 392, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 428, 429, 430, 431, 432, 437, 438, 439, 442, 445, 451, 452, 454, 455, 459, 462, 464, 466, 467, 468, 469, 470, 471, 473, 474, 475, 476, 477, 485, 487, 490, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 519, 520, 521, 522, 523, 524, 525, 526, 529, 532, 536, 539, 542, 546, 547, 561, 562, 566, 567, 568, 569, 570, 571, 574, 583, 585, 586, 587, 588, 589, 590, 591, 595, 597, 600, 602, 610, 614, 616, 617, 620, 621, 623, 627, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 641, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 678, 679, 680, 681, 682, 688, 689, 691, 692, 693, 694, 695, 699, 700, 701, 703, 705, 706, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 723, 724, 730, 731, 732, 733, 734, 735, 736, 738, 740, 741, 750, 751, 753, 754, 755, 762, 763, 764, 772, 791, 793, 798, 856, 857, 858, 859, 860, 862, 864, 865, 866, 867, 868, 869, 871, 873, 876, 879, 880, 881, 886, 890, 892, 893, 894, 901, 902, 903, 904, 905, 907, 909, 910, 911, 912, 913, 914, 916, 917, 919, 925, 928, 929, 930, 933, 936, 937, 938, 939, 940, 941, 943, 945, 946, 947, 948, 949, 950, 952, 954, 956, 958, 961, 962, 963, 968, 972, 974, 975, 976, 979, 982, 983, 984, 985, 986, 987, 989, 991, 992, 993, 994, 995, 996, 998, 999, 1000, 1002, 1008, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1046, 1048, 1049, 1064, 1069, 1071, 1088, 1089, 1092, 1093, 1094, 1097, 1100, 1101, 1103, 1104, 1105, 1106, 1109, 1110, 1112, 1114, 1117, 1118, 1119, 1120, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1133, 1136, 1137, 1138, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1157, 1160, 1162, 1163, 1170, 1171, 1172, 1173, 1175, 1176, 1179, 1180, 1181, 1183, 1185, 1191, 1192, 1193, 1194, 1195, 1196, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1215, 1219, 1221, 1222, 1223, 1224, 1228, 1230, 1232, 1234, 1236, 1237, 1238, 1240, 1241, 1242, 1245, 1263, 1266, 1271, 1275, 1276, 1278, 1279, 1284, 1285, 1293, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1309, 1329, 1332, 1334, 1337, 1338, 1339, 1340, 1342, 1347, 1348, 1349, 1350, 1354, 1361, 1362, 1363, 1364, 1365, 1369, 1371, 1376, 1377, 1387, 1388, 1389, 1390, 1391, 1396, 1397, 1402, 1403, 1404, 1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1432, 1434, 1435, 1436], "implement": [5, 11, 14, 94, 95, 97, 100, 108, 110, 111, 113, 116, 133, 211, 216, 220, 221, 225, 230, 236, 250, 265, 278, 279, 281, 282, 283, 291, 294, 295, 306, 312, 316, 317, 327, 333, 340, 347, 348, 349, 354, 372, 381, 386, 389, 391, 392, 396, 412, 413, 414, 415, 416, 417, 419, 420, 421, 425, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 442, 454, 455, 457, 462, 471, 485, 490, 496, 498, 500, 501, 502, 510, 511, 512, 519, 521, 547, 561, 567, 588, 590, 683, 684, 685, 686, 688, 692, 694, 699, 700, 701, 706, 712, 713, 714, 715, 716, 717, 731, 733, 756, 762, 763, 764, 782, 788, 793, 1041, 1046, 1048, 1108, 1193, 1194, 1198, 1199, 1203, 1205, 1206, 1207, 1222, 1242, 1278, 1279, 1289, 1290, 1302, 1304, 1308, 1309, 1329, 1332, 1347, 1348, 1350, 1361, 1362, 1363, 1364, 1389, 1391, 1397, 1404, 1408, 1411, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1431, 1434], "simpli": [5, 55, 102, 103, 116, 159, 200, 233, 280, 387, 413, 427, 428, 432, 442, 523, 859, 889, 904, 927, 940, 971, 986, 1010, 1174, 1178, 1302, 1332, 1403, 1408, 1418], "return": [5, 7, 8, 11, 14, 17, 26, 31, 35, 37, 39, 46, 50, 56, 68, 69, 70, 72, 81, 85, 89, 94, 96, 102, 103, 104, 113, 116, 143, 144, 145, 147, 150, 161, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 179, 181, 182, 184, 185, 186, 187, 188, 189, 190, 192, 197, 199, 200, 202, 203, 204, 205, 206, 207, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 456, 457, 458, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 530, 533, 534, 536, 537, 540, 543, 544, 546, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 713, 714, 715, 716, 717, 718, 721, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 762, 764, 798, 850, 851, 853, 854, 861, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 882, 887, 888, 889, 891, 892, 893, 895, 896, 898, 899, 906, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 926, 927, 928, 929, 931, 932, 934, 935, 936, 937, 942, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 964, 965, 969, 970, 971, 973, 974, 975, 977, 978, 980, 981, 982, 983, 988, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1009, 1010, 1011, 1012, 1022, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1048, 1049, 1050, 1051, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1127, 1128, 1130, 1131, 1132, 1133, 1134, 1140, 1141, 1142, 1143, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1309, 1310, 1311, 1313, 1314, 1315, 1316, 1317, 1318, 1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1329, 1332, 1337, 1338, 1339, 1341, 1342, 1343, 1344, 1348, 1349, 1351, 1352, 1353, 1354, 1355, 1357, 1358, 1359, 1362, 1363, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1380, 1381, 1383, 1384, 1385, 1402, 1403, 1404, 1408, 1410, 1411, 1413, 1414, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1432, 1434], "first": [5, 56, 66, 71, 78, 94, 95, 98, 100, 102, 103, 108, 110, 112, 142, 156, 165, 193, 208, 224, 228, 230, 231, 232, 233, 234, 271, 273, 276, 298, 312, 313, 325, 326, 333, 340, 347, 365, 366, 367, 375, 376, 382, 385, 386, 389, 391, 392, 394, 396, 401, 407, 408, 409, 421, 425, 442, 452, 456, 466, 493, 494, 514, 525, 595, 596, 597, 598, 599, 628, 629, 638, 642, 649, 655, 659, 662, 665, 666, 669, 673, 675, 679, 680, 682, 705, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 730, 760, 762, 793, 883, 894, 922, 930, 956, 965, 976, 1000, 1005, 1013, 1014, 1057, 1125, 1133, 1150, 1166, 1169, 1179, 1192, 1195, 1209, 1210, 1211, 1213, 1214, 1221, 1224, 1231, 1239, 1240, 1247, 1278, 1302, 1326, 1327, 1329, 1332, 1335, 1387, 1388, 1396, 1402, 1404, 1412, 1415, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1434, 1436], "match": [5, 26, 35, 96, 222, 265, 278, 279, 280, 281, 282, 283, 442, 490, 492, 514, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 580, 581, 582, 583, 584, 585, 626, 673, 674, 675, 676, 692, 760, 762, 763, 777, 1046, 1150, 1171, 1179, 1181, 1183, 1214, 1223, 1228, 1278, 1302, 1313, 1315, 1318, 1331, 1369, 1370, 1404, 1415, 1416, 1418, 1420, 1421, 1423, 1426, 1433], "termin": [5, 11, 42, 98, 102, 112, 227, 412, 413, 414, 420, 421, 496, 500, 501, 504, 505, 508, 509, 512, 1046, 1423], "interest": [5, 93, 94, 97, 100, 101, 105, 106, 108, 292, 293, 425, 577, 579, 1223, 1436], "begin": [5, 98, 100, 227, 340, 385, 386, 452, 620, 621, 662, 663, 664, 719, 720, 762, 1045, 1127, 1141, 1191, 1201], "onli": [5, 10, 17, 27, 45, 56, 68, 89, 93, 94, 102, 103, 104, 105, 112, 116, 134, 142, 160, 161, 165, 166, 167, 168, 169, 176, 177, 181, 185, 186, 189, 190, 191, 201, 205, 208, 215, 216, 217, 221, 227, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 271, 283, 294, 295, 298, 299, 300, 301, 307, 311, 323, 328, 333, 339, 340, 341, 342, 344, 347, 348, 349, 352, 357, 376, 379, 389, 391, 392, 394, 396, 397, 398, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 410, 412, 413, 414, 420, 421, 428, 438, 442, 466, 467, 468, 469, 470, 471, 481, 482, 494, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 519, 521, 522, 523, 524, 529, 539, 547, 569, 574, 577, 579, 583, 586, 587, 589, 590, 598, 604, 607, 609, 610, 612, 613, 616, 617, 618, 619, 628, 634, 637, 638, 639, 640, 642, 643, 644, 645, 646, 648, 649, 650, 651, 654, 658, 660, 662, 663, 664, 669, 670, 671, 679, 680, 681, 692, 693, 694, 702, 705, 706, 719, 730, 732, 750, 751, 753, 754, 755, 756, 763, 788, 793, 798, 860, 861, 864, 865, 866, 867, 871, 872, 873, 875, 876, 879, 880, 881, 890, 893, 894, 905, 906, 909, 910, 911, 912, 916, 918, 919, 930, 933, 941, 942, 945, 946, 947, 948, 949, 950, 952, 953, 954, 957, 958, 961, 962, 963, 972, 975, 976, 979, 987, 988, 991, 992, 993, 994, 995, 996, 998, 1001, 1002, 1013, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1064, 1069, 1073, 1075, 1085, 1086, 1087, 1091, 1097, 1098, 1099, 1101, 1103, 1104, 1107, 1109, 1110, 1112, 1117, 1119, 1133, 1139, 1140, 1141, 1143, 1152, 1172, 1173, 1198, 1199, 1205, 1215, 1223, 1255, 1257, 1277, 1278, 1284, 1285, 1289, 1290, 1301, 1302, 1329, 1330, 1334, 1359, 1360, 1369, 1370, 1385, 1387, 1388, 1389, 1391, 1398, 1403, 1411, 1412, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1431, 1434, 1436], "those": [5, 9, 11, 14, 93, 94, 103, 112, 133, 166, 168, 186, 200, 203, 205, 208, 227, 233, 239, 244, 268, 298, 299, 307, 308, 316, 332, 358, 371, 391, 392, 424, 455, 567, 568, 627, 643, 645, 680, 689, 705, 706, 719, 741, 751, 864, 866, 876, 889, 892, 893, 894, 909, 911, 919, 927, 928, 929, 930, 945, 947, 949, 958, 971, 974, 975, 976, 991, 993, 995, 1002, 1010, 1011, 1012, 1013, 1041, 1045, 1064, 1088, 1101, 1104, 1156, 1158, 1160, 1163, 1223, 1332, 1339, 1343, 1344, 1382, 1395, 1397, 1403, 1413], "weakli": [5, 400, 406, 409, 416, 793, 1191, 1283, 1415], "connect": [5, 6, 7, 17, 26, 28, 51, 56, 58, 59, 66, 70, 72, 81, 84, 85, 89, 115, 116, 133, 142, 143, 144, 212, 213, 214, 215, 216, 217, 218, 221, 224, 230, 233, 237, 240, 241, 242, 245, 249, 250, 256, 259, 260, 262, 263, 270, 271, 272, 274, 277, 285, 286, 287, 288, 289, 294, 295, 300, 301, 305, 306, 312, 313, 315, 318, 319, 320, 322, 323, 325, 326, 329, 330, 331, 333, 334, 335, 340, 341, 343, 359, 360, 373, 374, 382, 384, 389, 390, 392, 393, 394, 397, 399, 400, 401, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 432, 433, 472, 481, 485, 492, 493, 494, 498, 502, 503, 506, 507, 510, 514, 521, 522, 523, 569, 590, 595, 617, 620, 621, 635, 654, 660, 665, 683, 684, 685, 690, 693, 694, 695, 696, 699, 701, 729, 734, 736, 737, 738, 739, 745, 752, 753, 755, 759, 760, 788, 793, 798, 851, 896, 932, 978, 1040, 1042, 1043, 1057, 1074, 1076, 1152, 1154, 1156, 1158, 1162, 1163, 1165, 1166, 1168, 1169, 1171, 1173, 1174, 1175, 1176, 1178, 1180, 1185, 1186, 1191, 1192, 1194, 1199, 1201, 1203, 1204, 1205, 1206, 1207, 1209, 1211, 1217, 1219, 1229, 1231, 1233, 1239, 1247, 1248, 1259, 1260, 1263, 1265, 1281, 1282, 1283, 1291, 1297, 1329, 1331, 1387, 1388, 1402, 1404, 1408, 1410, 1412, 1415, 1416, 1417, 1420, 1423, 1426, 1434, 1436], "compon": [5, 6, 7, 17, 26, 28, 36, 51, 70, 72, 80, 81, 85, 86, 87, 89, 102, 115, 143, 165, 221, 250, 259, 294, 295, 300, 323, 340, 341, 389, 390, 391, 392, 393, 394, 395, 396, 401, 402, 403, 404, 405, 406, 407, 408, 409, 424, 425, 426, 427, 429, 430, 493, 502, 521, 590, 620, 621, 635, 654, 660, 665, 705, 706, 712, 713, 714, 715, 716, 717, 736, 738, 760, 1048, 1185, 1199, 1222, 1282, 1283, 1291, 1297, 1331, 1387, 1404, 1411, 1415, 1417, 1420, 1421, 1422, 1423, 1426, 1429, 1434], "function": [5, 6, 7, 8, 11, 14, 26, 31, 45, 51, 53, 57, 89, 94, 95, 96, 97, 102, 103, 104, 105, 108, 110, 111, 112, 113, 120, 122, 126, 130, 131, 134, 138, 139, 211, 214, 215, 216, 217, 218, 230, 231, 232, 233, 236, 245, 256, 261, 262, 263, 265, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 284, 286, 294, 295, 296, 300, 311, 316, 327, 329, 347, 348, 349, 353, 357, 364, 368, 376, 385, 386, 392, 398, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 426, 427, 428, 429, 430, 442, 459, 460, 462, 466, 467, 470, 472, 473, 474, 475, 476, 477, 485, 490, 493, 494, 496, 497, 499, 500, 501, 502, 503, 504, 505, 508, 509, 511, 512, 513, 514, 521, 522, 523, 527, 532, 536, 537, 542, 546, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 570, 574, 579, 583, 587, 588, 589, 590, 593, 594, 595, 620, 621, 623, 628, 629, 633, 634, 635, 637, 638, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 678, 680, 681, 682, 688, 693, 694, 700, 701, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 719, 720, 723, 729, 730, 731, 732, 733, 740, 753, 754, 755, 756, 759, 760, 761, 764, 768, 771, 772, 779, 780, 782, 784, 786, 787, 791, 793, 794, 796, 797, 798, 961, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1048, 1049, 1050, 1064, 1069, 1091, 1092, 1093, 1101, 1103, 1104, 1105, 1106, 1111, 1114, 1115, 1120, 1128, 1129, 1136, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1157, 1160, 1181, 1183, 1188, 1199, 1202, 1203, 1204, 1205, 1215, 1222, 1228, 1230, 1234, 1236, 1238, 1241, 1276, 1279, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1309, 1325, 1326, 1327, 1329, 1331, 1332, 1333, 1334, 1336, 1339, 1343, 1344, 1349, 1353, 1360, 1364, 1369, 1370, 1377, 1388, 1395, 1398, 1402, 1405, 1406, 1407, 1408, 1409, 1410, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "real": [5, 53, 100, 105, 218, 281, 284, 327, 424, 705, 1104, 1212, 1275, 1289, 1290, 1395, 1436], "number": [5, 7, 9, 11, 26, 29, 39, 58, 64, 66, 70, 71, 89, 92, 94, 95, 98, 100, 104, 107, 112, 113, 115, 123, 148, 152, 157, 159, 167, 172, 176, 186, 187, 188, 189, 199, 209, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 223, 224, 225, 227, 228, 231, 232, 235, 236, 258, 259, 260, 261, 264, 272, 273, 275, 276, 286, 289, 291, 294, 295, 297, 298, 299, 300, 301, 302, 303, 305, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 322, 323, 325, 326, 328, 330, 331, 332, 339, 340, 347, 348, 349, 350, 351, 354, 356, 357, 358, 359, 360, 361, 362, 363, 370, 372, 373, 374, 375, 376, 379, 380, 382, 383, 385, 387, 388, 389, 392, 396, 403, 404, 405, 406, 412, 413, 414, 415, 417, 419, 420, 421, 424, 434, 435, 436, 437, 438, 440, 443, 444, 445, 446, 447, 448, 449, 450, 473, 474, 475, 476, 477, 481, 482, 492, 498, 499, 503, 506, 507, 510, 513, 514, 519, 522, 523, 526, 551, 552, 566, 568, 570, 571, 579, 583, 585, 590, 591, 593, 594, 595, 597, 610, 620, 621, 623, 627, 628, 629, 634, 635, 637, 638, 642, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 675, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 688, 690, 692, 694, 695, 696, 699, 703, 705, 724, 731, 733, 734, 740, 749, 750, 751, 753, 755, 763, 782, 788, 798, 854, 855, 857, 859, 865, 869, 871, 876, 877, 878, 879, 888, 899, 900, 902, 904, 910, 914, 919, 920, 921, 926, 935, 936, 938, 940, 946, 950, 952, 956, 958, 959, 960, 961, 970, 981, 982, 984, 986, 992, 996, 1000, 1002, 1003, 1004, 1009, 1040, 1042, 1043, 1045, 1046, 1050, 1063, 1071, 1081, 1082, 1083, 1101, 1104, 1105, 1106, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1149, 1150, 1152, 1154, 1157, 1161, 1168, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1218, 1219, 1220, 1221, 1225, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1256, 1266, 1273, 1275, 1276, 1277, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1292, 1293, 1294, 1297, 1300, 1301, 1302, 1303, 1305, 1307, 1310, 1311, 1317, 1325, 1329, 1332, 1334, 1401, 1402, 1404, 1412, 1413, 1414, 1415, 1418, 1420, 1422, 1423, 1425, 1436], "indic": [5, 26, 53, 66, 94, 100, 103, 209, 214, 218, 223, 224, 228, 231, 232, 233, 252, 259, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 297, 298, 300, 307, 317, 321, 323, 333, 340, 370, 375, 379, 380, 382, 383, 452, 491, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 519, 591, 595, 627, 628, 629, 649, 650, 651, 654, 655, 656, 657, 658, 659, 660, 662, 663, 664, 669, 670, 671, 672, 683, 684, 685, 686, 688, 692, 694, 695, 696, 703, 705, 713, 719, 720, 724, 736, 738, 740, 741, 749, 1041, 1048, 1084, 1101, 1104, 1157, 1160, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1216, 1217, 1218, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1257, 1273, 1275, 1279, 1281, 1282, 1283, 1302, 1305, 1307, 1325, 1334, 1339, 1343, 1344, 1345, 1346, 1351, 1354, 1355, 1356, 1363, 1387, 1388, 1402, 1403, 1412, 1418, 1423], "how": [5, 9, 16, 39, 41, 42, 55, 56, 57, 58, 59, 62, 66, 75, 76, 78, 93, 94, 97, 101, 102, 103, 104, 105, 106, 108, 110, 111, 231, 232, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 317, 359, 413, 414, 418, 419, 420, 421, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 677, 684, 693, 705, 751, 763, 936, 982, 1041, 1105, 1106, 1147, 1302, 1306, 1332, 1334, 1390, 1407, 1408, 1411, 1413, 1415, 1416, 1417, 1420, 1421, 1436], "good": [5, 93, 94, 98, 100, 102, 106, 111, 221, 677, 689, 691, 705, 1332, 1422], "potenti": [5, 94, 102, 103, 104, 245, 388, 555, 567, 627, 731, 733, 1302, 1423], "neighbor": [5, 55, 58, 89, 117, 160, 161, 165, 170, 183, 191, 198, 201, 202, 214, 231, 232, 240, 241, 262, 263, 282, 283, 286, 287, 288, 289, 290, 296, 312, 313, 315, 319, 320, 325, 326, 339, 360, 363, 365, 366, 367, 372, 380, 382, 421, 438, 479, 480, 482, 489, 513, 514, 524, 525, 526, 569, 570, 571, 572, 573, 574, 575, 576, 590, 617, 678, 689, 690, 691, 692, 705, 706, 708, 709, 710, 760, 851, 860, 861, 881, 890, 891, 896, 905, 906, 932, 933, 941, 942, 948, 962, 963, 972, 973, 978, 979, 987, 988, 994, 1041, 1058, 1059, 1080, 1094, 1194, 1195, 1213, 1216, 1217, 1231, 1239, 1240, 1245, 1247, 1277, 1332, 1402, 1407, 1408, 1413, 1415, 1416, 1421, 1422, 1425, 1434], "when": [5, 10, 11, 25, 35, 40, 44, 53, 71, 89, 93, 94, 95, 96, 100, 101, 102, 103, 104, 107, 108, 110, 113, 133, 142, 153, 158, 159, 169, 181, 185, 190, 196, 208, 221, 231, 232, 250, 257, 268, 269, 278, 279, 281, 282, 296, 298, 299, 306, 312, 317, 323, 325, 326, 327, 331, 345, 347, 362, 375, 376, 380, 400, 412, 413, 414, 420, 421, 424, 429, 442, 445, 451, 452, 469, 487, 488, 489, 496, 500, 501, 504, 505, 508, 509, 512, 514, 527, 537, 554, 555, 556, 563, 564, 565, 569, 588, 590, 595, 610, 618, 621, 630, 631, 632, 654, 658, 678, 683, 685, 690, 692, 697, 705, 713, 719, 720, 723, 724, 729, 736, 737, 738, 739, 753, 755, 762, 763, 793, 798, 856, 858, 859, 867, 873, 875, 880, 886, 894, 901, 903, 904, 912, 916, 918, 925, 930, 933, 937, 939, 940, 948, 954, 957, 962, 965, 966, 968, 976, 979, 983, 985, 986, 994, 998, 1001, 1005, 1006, 1008, 1013, 1014, 1040, 1041, 1042, 1043, 1046, 1048, 1069, 1094, 1103, 1105, 1106, 1108, 1118, 1127, 1128, 1129, 1136, 1141, 1144, 1160, 1171, 1191, 1199, 1202, 1203, 1204, 1211, 1223, 1235, 1236, 1242, 1245, 1286, 1293, 1294, 1302, 1306, 1330, 1332, 1334, 1337, 1340, 1343, 1344, 1345, 1346, 1355, 1362, 1363, 1365, 1387, 1388, 1402, 1406, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1428, 1429, 1431, 1432, 1433, 1434, 1436], "decid": [5, 93, 97, 100, 101, 103, 108, 224, 295, 441, 700, 701, 703, 1199, 1332], "which": [5, 39, 44, 46, 53, 56, 59, 64, 66, 84, 89, 94, 95, 101, 102, 103, 104, 105, 106, 108, 113, 115, 116, 117, 129, 145, 162, 169, 185, 190, 200, 203, 205, 207, 211, 213, 215, 216, 218, 221, 225, 226, 227, 230, 231, 232, 241, 247, 248, 249, 250, 258, 260, 262, 263, 265, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 281, 282, 283, 290, 291, 302, 303, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 325, 326, 332, 333, 340, 341, 347, 348, 349, 350, 351, 354, 355, 364, 375, 379, 380, 382, 385, 393, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 429, 436, 439, 442, 451, 452, 453, 456, 462, 464, 466, 467, 485, 487, 488, 489, 491, 493, 496, 498, 499, 500, 501, 502, 503, 506, 507, 510, 511, 512, 521, 523, 561, 562, 570, 574, 576, 579, 580, 581, 582, 583, 584, 585, 588, 590, 600, 603, 610, 617, 639, 640, 643, 645, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 672, 677, 678, 679, 680, 681, 683, 689, 690, 694, 699, 702, 705, 707, 713, 719, 720, 721, 722, 730, 731, 732, 734, 735, 741, 751, 754, 762, 764, 788, 791, 793, 798, 851, 867, 875, 880, 889, 892, 893, 896, 912, 918, 927, 928, 929, 932, 948, 957, 962, 971, 974, 975, 978, 994, 1001, 1010, 1011, 1012, 1039, 1040, 1042, 1043, 1044, 1045, 1069, 1074, 1084, 1091, 1103, 1105, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1121, 1127, 1128, 1131, 1132, 1141, 1143, 1155, 1157, 1170, 1171, 1172, 1173, 1181, 1183, 1200, 1202, 1203, 1204, 1212, 1213, 1215, 1216, 1218, 1221, 1223, 1228, 1235, 1236, 1241, 1273, 1275, 1276, 1278, 1287, 1301, 1302, 1303, 1306, 1329, 1331, 1332, 1334, 1343, 1344, 1345, 1346, 1350, 1351, 1356, 1360, 1367, 1368, 1387, 1388, 1389, 1391, 1402, 1403, 1404, 1407, 1408, 1411, 1412, 1413, 1415, 1416, 1417, 1418, 1421, 1422, 1423, 1425, 1426, 1434, 1436], "enqueu": [5, 705], "breadth": [5, 365, 366, 642, 705, 706, 707, 708, 709, 710, 719, 730, 760, 1326, 1327, 1332, 1415], "best": [5, 93, 98, 100, 106, 218, 223, 228, 230, 231, 232, 382, 673, 675, 682, 705, 798, 1040, 1042, 1043, 1288, 1387, 1388, 1413, 1414], "within": [5, 54, 58, 71, 87, 93, 94, 100, 104, 106, 108, 227, 297, 312, 325, 326, 428, 469, 478, 514, 558, 559, 560, 566, 568, 576, 587, 589, 590, 595, 672, 679, 680, 788, 1045, 1046, 1127, 1129, 1171, 1174, 1175, 1195, 1200, 1201, 1203, 1204, 1243, 1244, 1302, 1405, 1414, 1420, 1423], "current": [5, 94, 102, 103, 104, 106, 112, 223, 231, 232, 250, 297, 302, 303, 304, 309, 310, 324, 347, 348, 349, 364, 429, 462, 536, 546, 673, 675, 692, 700, 701, 705, 760, 763, 788, 798, 1040, 1042, 1043, 1100, 1109, 1110, 1112, 1117, 1119, 1275, 1279, 1309, 1403, 1408, 1410, 1415, 1416, 1422, 1423, 1433, 1434], "each": [5, 8, 11, 26, 27, 28, 29, 35, 39, 45, 46, 50, 53, 55, 56, 66, 68, 81, 89, 93, 94, 95, 100, 103, 105, 106, 110, 113, 116, 117, 153, 159, 160, 167, 168, 176, 185, 189, 191, 194, 199, 201, 203, 211, 213, 214, 215, 216, 220, 221, 224, 226, 227, 231, 233, 236, 239, 240, 241, 242, 243, 244, 245, 247, 248, 252, 253, 257, 259, 265, 271, 276, 278, 279, 281, 282, 283, 290, 297, 298, 299, 300, 302, 303, 306, 309, 310, 311, 312, 315, 316, 321, 323, 325, 327, 329, 332, 333, 334, 335, 336, 339, 340, 341, 343, 346, 347, 348, 349, 350, 351, 354, 355, 356, 357, 358, 359, 360, 362, 363, 364, 365, 366, 367, 368, 372, 373, 374, 375, 376, 378, 380, 381, 382, 383, 384, 385, 386, 388, 390, 391, 392, 393, 394, 401, 407, 408, 409, 413, 414, 424, 427, 428, 429, 430, 432, 433, 434, 439, 440, 442, 445, 451, 452, 453, 454, 455, 462, 464, 466, 467, 472, 478, 482, 483, 484, 489, 490, 493, 494, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 520, 522, 523, 532, 542, 551, 552, 554, 555, 556, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 580, 581, 582, 585, 587, 588, 589, 590, 593, 594, 595, 611, 616, 617, 618, 624, 625, 626, 627, 635, 637, 643, 645, 649, 658, 661, 669, 672, 678, 680, 681, 690, 691, 693, 694, 699, 702, 703, 705, 719, 720, 721, 723, 724, 730, 732, 734, 736, 737, 738, 739, 740, 741, 744, 745, 750, 752, 753, 755, 762, 791, 793, 798, 856, 859, 860, 865, 866, 871, 875, 879, 881, 884, 888, 890, 892, 901, 904, 905, 910, 911, 918, 923, 926, 928, 937, 940, 941, 946, 947, 948, 949, 952, 953, 957, 961, 962, 963, 966, 970, 972, 974, 982, 983, 986, 987, 992, 993, 994, 995, 1001, 1006, 1009, 1011, 1040, 1041, 1042, 1043, 1045, 1062, 1064, 1074, 1087, 1088, 1089, 1090, 1097, 1101, 1102, 1103, 1105, 1106, 1114, 1115, 1117, 1119, 1127, 1128, 1129, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1151, 1155, 1157, 1162, 1168, 1171, 1173, 1174, 1175, 1177, 1178, 1180, 1181, 1183, 1184, 1186, 1191, 1194, 1196, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1212, 1213, 1215, 1216, 1217, 1218, 1219, 1221, 1223, 1228, 1229, 1230, 1231, 1233, 1234, 1236, 1238, 1239, 1240, 1241, 1242, 1245, 1246, 1247, 1248, 1251, 1263, 1268, 1273, 1276, 1278, 1280, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1302, 1303, 1332, 1334, 1362, 1363, 1387, 1388, 1403, 1404, 1415, 1416, 1418, 1422, 1423, 1434, 1436], "step": [5, 98, 102, 103, 105, 108, 233, 353, 368, 376, 382, 383, 442, 514, 734, 1045, 1046, 1171, 1179, 1191, 1201, 1240, 1275, 1302], "take": [5, 11, 35, 39, 93, 95, 101, 102, 104, 108, 110, 153, 158, 208, 231, 232, 233, 265, 301, 306, 340, 357, 376, 425, 442, 450, 466, 467, 583, 588, 590, 600, 608, 610, 620, 628, 629, 631, 656, 693, 705, 706, 708, 709, 710, 723, 724, 750, 754, 762, 763, 782, 793, 856, 858, 894, 901, 903, 930, 937, 939, 976, 983, 985, 1013, 1039, 1091, 1170, 1180, 1203, 1257, 1263, 1276, 1302, 1326, 1327, 1332, 1369, 1370, 1402, 1403, 1406, 1407, 1408, 1411, 1415, 1418, 1419, 1420], "input": [5, 17, 92, 95, 100, 103, 104, 110, 113, 116, 198, 208, 221, 227, 231, 232, 233, 239, 244, 256, 257, 258, 259, 260, 264, 265, 267, 278, 279, 282, 283, 285, 286, 287, 288, 289, 309, 333, 341, 342, 344, 346, 355, 356, 376, 389, 390, 391, 392, 395, 396, 398, 403, 413, 414, 424, 425, 426, 427, 428, 429, 430, 432, 442, 456, 468, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 523, 557, 566, 568, 595, 611, 616, 617, 634, 637, 638, 661, 673, 674, 675, 676, 682, 694, 697, 705, 706, 708, 709, 710, 729, 741, 791, 798, 852, 894, 897, 930, 933, 976, 979, 1013, 1022, 1024, 1025, 1038, 1039, 1040, 1042, 1043, 1044, 1045, 1046, 1086, 1091, 1127, 1185, 1199, 1203, 1205, 1213, 1214, 1275, 1302, 1310, 1311, 1323, 1324, 1338, 1342, 1354, 1355, 1368, 1376, 1387, 1388, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1431, 1434], "boolean": [5, 337, 422, 423, 424, 456, 478, 504, 505, 508, 509, 523, 586, 587, 588, 589, 590, 683, 685, 742, 743, 744, 745, 748, 1073, 1075, 1101, 1104, 1174, 1176, 1179, 1214, 1276, 1364, 1387, 1388, 1416], "whether": [5, 59, 95, 97, 100, 103, 111, 146, 149, 181, 233, 236, 239, 244, 250, 251, 295, 315, 329, 345, 441, 456, 482, 491, 493, 522, 523, 524, 547, 564, 580, 581, 582, 619, 624, 625, 642, 654, 665, 681, 700, 701, 702, 730, 736, 738, 748, 762, 873, 916, 954, 998, 1074, 1105, 1127, 1129, 1141, 1174, 1176, 1179, 1199, 1214, 1215, 1217, 1218, 1219, 1281, 1282, 1283, 1284, 1302, 1332, 1334, 1395, 1402, 1403, 1413, 1434, 1436], "If": [5, 8, 35, 66, 89, 92, 93, 94, 95, 96, 98, 100, 101, 102, 105, 107, 112, 116, 133, 142, 145, 146, 149, 154, 155, 166, 167, 169, 176, 177, 181, 182, 185, 186, 189, 190, 192, 193, 195, 196, 197, 199, 202, 203, 204, 205, 206, 208, 209, 210, 211, 212, 213, 215, 216, 217, 218, 220, 221, 223, 224, 225, 228, 229, 230, 231, 232, 233, 236, 239, 240, 241, 242, 243, 244, 245, 248, 250, 251, 252, 253, 257, 259, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 276, 277, 278, 279, 281, 282, 283, 284, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 340, 341, 342, 344, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 363, 364, 373, 374, 375, 376, 377, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 432, 435, 437, 438, 442, 444, 445, 446, 447, 449, 450, 452, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 483, 484, 490, 491, 492, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 521, 522, 523, 527, 529, 532, 537, 539, 542, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 561, 562, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 583, 585, 586, 587, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 603, 604, 607, 608, 609, 610, 612, 613, 615, 616, 617, 618, 626, 627, 628, 629, 631, 633, 634, 635, 637, 638, 641, 642, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 678, 679, 680, 682, 683, 685, 687, 688, 689, 690, 691, 693, 694, 695, 696, 697, 699, 706, 710, 712, 713, 714, 715, 716, 717, 719, 720, 723, 724, 725, 726, 727, 728, 730, 732, 733, 735, 736, 737, 738, 739, 740, 741, 744, 745, 751, 753, 754, 755, 764, 782, 798, 852, 864, 865, 867, 871, 872, 873, 874, 875, 876, 879, 880, 882, 883, 885, 886, 887, 888, 891, 892, 893, 894, 897, 909, 910, 912, 916, 917, 918, 919, 922, 924, 925, 926, 928, 929, 930, 933, 945, 946, 948, 949, 950, 952, 953, 954, 955, 956, 957, 958, 961, 962, 964, 965, 967, 968, 969, 970, 973, 974, 975, 976, 979, 991, 992, 994, 995, 996, 998, 999, 1000, 1001, 1002, 1005, 1007, 1008, 1009, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1048, 1058, 1059, 1061, 1064, 1069, 1073, 1075, 1084, 1085, 1087, 1088, 1089, 1090, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1121, 1123, 1125, 1127, 1128, 1129, 1132, 1133, 1136, 1139, 1141, 1142, 1143, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1171, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1195, 1196, 1197, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1213, 1216, 1217, 1218, 1219, 1221, 1222, 1223, 1226, 1228, 1229, 1230, 1233, 1234, 1235, 1236, 1237, 1238, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1307, 1309, 1310, 1311, 1317, 1325, 1326, 1327, 1332, 1334, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1376, 1377, 1378, 1383, 1384, 1385, 1386, 1387, 1388, 1402, 1403, 1411, 1413, 1416, 1434, 1436], "rais": [5, 11, 85, 89, 101, 102, 103, 104, 116, 153, 154, 155, 158, 159, 162, 181, 182, 192, 193, 195, 196, 202, 208, 210, 211, 212, 213, 218, 221, 225, 228, 230, 231, 232, 233, 240, 241, 252, 256, 257, 278, 279, 281, 282, 289, 290, 294, 295, 296, 301, 309, 312, 313, 314, 316, 317, 318, 319, 320, 322, 325, 326, 327, 330, 332, 333, 334, 335, 340, 341, 342, 344, 345, 348, 349, 363, 364, 373, 374, 379, 381, 384, 385, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 416, 420, 421, 424, 426, 427, 428, 429, 431, 434, 435, 436, 437, 438, 439, 440, 452, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 468, 469, 470, 471, 472, 483, 484, 490, 491, 492, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 566, 568, 577, 580, 586, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 602, 603, 604, 606, 607, 608, 609, 610, 612, 613, 615, 628, 629, 631, 634, 635, 637, 638, 641, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 682, 683, 685, 688, 694, 695, 696, 726, 728, 729, 733, 734, 735, 736, 737, 738, 739, 744, 745, 751, 754, 755, 856, 858, 859, 873, 874, 882, 883, 885, 886, 891, 894, 901, 903, 904, 916, 917, 922, 924, 925, 930, 933, 937, 939, 940, 954, 955, 964, 965, 967, 968, 973, 976, 979, 983, 985, 986, 998, 999, 1005, 1007, 1008, 1013, 1042, 1043, 1046, 1059, 1073, 1075, 1084, 1105, 1110, 1113, 1117, 1119, 1120, 1144, 1171, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1186, 1187, 1191, 1193, 1196, 1197, 1198, 1212, 1213, 1216, 1222, 1228, 1229, 1231, 1233, 1235, 1240, 1242, 1243, 1244, 1245, 1275, 1279, 1280, 1281, 1282, 1283, 1301, 1302, 1304, 1308, 1309, 1317, 1325, 1349, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1365, 1367, 1368, 1369, 1371, 1383, 1384, 1385, 1386, 1402, 1403, 1406, 1410, 1413, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1432, 1434], "exc": [5, 950, 996], "nodenotfound": [5, 294, 295, 316, 317, 319, 320, 332, 340, 456, 637, 638, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 667, 668, 669, 670, 671, 1046, 1331, 1416], "default": [5, 26, 42, 44, 55, 75, 78, 89, 94, 95, 96, 97, 99, 102, 106, 112, 133, 152, 158, 159, 160, 166, 167, 169, 171, 176, 177, 181, 185, 186, 189, 190, 191, 197, 199, 201, 205, 209, 214, 215, 216, 217, 218, 221, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 253, 259, 261, 262, 263, 268, 269, 271, 272, 273, 275, 276, 281, 283, 284, 286, 287, 288, 289, 290, 291, 292, 296, 297, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 311, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 339, 348, 349, 352, 353, 354, 355, 357, 358, 359, 360, 362, 370, 375, 379, 380, 382, 383, 385, 386, 387, 393, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 431, 442, 452, 466, 469, 475, 478, 485, 491, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 516, 521, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 583, 585, 586, 587, 589, 590, 591, 595, 600, 603, 617, 623, 626, 627, 630, 631, 632, 634, 635, 637, 638, 642, 647, 648, 652, 653, 667, 668, 672, 673, 674, 675, 676, 677, 682, 683, 684, 685, 686, 688, 692, 693, 694, 695, 696, 697, 703, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 724, 725, 726, 727, 728, 735, 736, 737, 738, 739, 740, 749, 764, 782, 798, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 852, 855, 858, 859, 860, 864, 865, 867, 868, 871, 872, 873, 875, 876, 879, 880, 881, 887, 888, 890, 893, 897, 900, 903, 904, 905, 909, 910, 912, 913, 916, 918, 919, 926, 929, 933, 936, 937, 939, 940, 941, 945, 946, 948, 949, 950, 952, 953, 954, 957, 961, 962, 965, 969, 970, 972, 975, 979, 982, 983, 985, 986, 991, 992, 994, 995, 996, 998, 1001, 1005, 1009, 1040, 1042, 1043, 1045, 1055, 1056, 1057, 1060, 1087, 1088, 1089, 1092, 1093, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1127, 1128, 1129, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1146, 1148, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1216, 1217, 1219, 1221, 1223, 1225, 1226, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1277, 1279, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1306, 1310, 1311, 1325, 1332, 1334, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1362, 1363, 1365, 1366, 1369, 1370, 1371, 1372, 1376, 1377, 1387, 1388, 1402, 1403, 1404, 1405, 1407, 1408, 1410, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1436], "one": [5, 8, 17, 44, 58, 70, 72, 78, 93, 94, 95, 100, 101, 102, 103, 105, 106, 108, 110, 112, 113, 116, 117, 133, 145, 153, 157, 159, 166, 168, 181, 205, 209, 213, 215, 220, 221, 223, 224, 228, 231, 232, 236, 240, 241, 250, 251, 253, 254, 256, 257, 258, 259, 260, 261, 265, 271, 272, 278, 279, 281, 282, 283, 285, 287, 288, 289, 290, 298, 299, 300, 301, 311, 315, 316, 325, 326, 329, 332, 342, 344, 347, 358, 362, 363, 364, 365, 366, 367, 368, 372, 378, 379, 380, 382, 383, 384, 385, 386, 387, 389, 390, 391, 392, 393, 394, 396, 398, 401, 407, 408, 409, 414, 429, 433, 441, 442, 444, 445, 446, 447, 449, 450, 457, 459, 460, 462, 464, 466, 470, 473, 474, 475, 476, 477, 482, 485, 486, 493, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 561, 562, 567, 568, 570, 574, 576, 579, 580, 582, 586, 590, 592, 604, 608, 617, 620, 621, 628, 629, 637, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 681, 690, 691, 693, 702, 703, 713, 730, 732, 737, 739, 750, 755, 763, 764, 788, 791, 793, 798, 856, 857, 859, 864, 866, 873, 893, 901, 902, 904, 909, 911, 916, 937, 938, 940, 945, 947, 949, 954, 975, 983, 984, 986, 991, 993, 995, 998, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1054, 1062, 1074, 1088, 1091, 1103, 1105, 1106, 1109, 1115, 1118, 1139, 1141, 1143, 1149, 1150, 1153, 1154, 1157, 1160, 1166, 1167, 1171, 1180, 1181, 1186, 1188, 1189, 1190, 1191, 1192, 1194, 1201, 1213, 1216, 1221, 1235, 1240, 1241, 1242, 1243, 1244, 1246, 1251, 1254, 1259, 1267, 1268, 1269, 1275, 1278, 1280, 1281, 1282, 1283, 1289, 1290, 1303, 1304, 1316, 1332, 1334, 1387, 1388, 1398, 1403, 1404, 1412, 1413, 1415, 1416, 1420, 1422, 1426], "restart": 5, "twice": [5, 153, 159, 236, 247, 248, 447, 454, 455, 655, 856, 859, 901, 904, 937, 940, 983, 986, 1329, 1436], "larg": [5, 8, 11, 31, 106, 111, 113, 211, 225, 230, 261, 262, 263, 276, 290, 291, 298, 380, 382, 383, 385, 387, 425, 428, 557, 672, 677, 679, 680, 693, 751, 764, 784, 788, 1062, 1127, 1128, 1129, 1149, 1150, 1171, 1209, 1236, 1332, 1353, 1398, 1402, 1404, 1415, 1417, 1422, 1436], "so": [5, 10, 11, 22, 33, 50, 56, 62, 68, 89, 93, 95, 98, 100, 102, 103, 104, 110, 113, 116, 122, 134, 160, 166, 191, 201, 221, 232, 234, 265, 295, 298, 299, 307, 308, 319, 320, 327, 348, 349, 375, 376, 382, 385, 413, 414, 418, 419, 422, 423, 424, 429, 442, 452, 455, 462, 464, 466, 496, 498, 500, 501, 511, 512, 586, 587, 588, 589, 602, 616, 628, 634, 643, 645, 655, 656, 657, 662, 663, 664, 669, 670, 671, 681, 690, 692, 694, 706, 719, 730, 731, 732, 733, 750, 762, 782, 793, 860, 864, 881, 890, 905, 909, 941, 945, 963, 972, 987, 991, 1041, 1045, 1048, 1049, 1050, 1063, 1064, 1085, 1105, 1106, 1115, 1127, 1136, 1139, 1141, 1143, 1148, 1161, 1166, 1180, 1181, 1182, 1185, 1202, 1203, 1204, 1219, 1221, 1223, 1224, 1278, 1284, 1285, 1288, 1302, 1317, 1330, 1332, 1334, 1403, 1404, 1413, 1415, 1416, 1417, 1418, 1419, 1421, 1422, 1425, 1426, 1432, 1434, 1436], "exponenti": [5, 8, 122, 228, 335, 347, 348, 349, 350, 351, 374, 521, 621, 763, 1199, 1203, 1204], "after": [5, 11, 26, 94, 95, 96, 100, 101, 104, 133, 165, 181, 312, 323, 325, 327, 364, 380, 385, 393, 420, 421, 437, 496, 500, 501, 511, 512, 513, 532, 542, 566, 568, 600, 617, 673, 675, 694, 695, 696, 762, 873, 916, 954, 998, 1041, 1048, 1088, 1089, 1120, 1225, 1240, 1256, 1275, 1302, 1332, 1360, 1411, 1412, 1416, 1421, 1422, 1423, 1434, 1436], "exce": [5, 384, 412, 413, 414, 420, 421, 496, 500, 501, 512, 568, 695, 696, 1046, 1214, 1215], "check": [5, 81, 94, 98, 102, 116, 134, 162, 181, 205, 214, 250, 251, 256, 283, 300, 312, 325, 345, 441, 486, 493, 499, 551, 552, 553, 563, 564, 565, 566, 568, 588, 602, 617, 618, 619, 678, 680, 694, 700, 762, 764, 798, 873, 893, 916, 954, 975, 998, 1040, 1042, 1043, 1156, 1158, 1163, 1165, 1166, 1169, 1214, 1215, 1243, 1244, 1302, 1313, 1315, 1318, 1332, 1350, 1408, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1430, 1434, 1436], "special": [5, 100, 102, 103, 111, 231, 232, 392, 426, 429, 620, 621, 1041, 1251, 1267, 1278, 1415, 1417, 1422, 1426, 1436], "case": [5, 8, 11, 46, 55, 58, 93, 95, 96, 100, 104, 105, 108, 117, 200, 208, 211, 212, 213, 218, 222, 229, 232, 236, 253, 254, 256, 259, 260, 265, 284, 294, 295, 302, 303, 309, 310, 317, 339, 340, 347, 348, 349, 382, 392, 424, 425, 426, 429, 431, 438, 442, 445, 452, 455, 460, 496, 500, 501, 503, 512, 515, 517, 518, 519, 520, 576, 577, 620, 621, 623, 635, 654, 659, 660, 665, 690, 719, 720, 721, 724, 762, 763, 889, 894, 927, 930, 933, 971, 976, 979, 1010, 1013, 1041, 1042, 1043, 1064, 1085, 1088, 1103, 1104, 1105, 1107, 1123, 1132, 1141, 1143, 1160, 1171, 1179, 1185, 1213, 1222, 1223, 1229, 1233, 1251, 1267, 1301, 1302, 1306, 1387, 1403, 1404, 1407, 1408, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1426, 1432, 1434], "satisfi": [5, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 1168, 1199, 1205, 1214, 1215, 1229, 1233, 1235, 1240, 1317, 1334, 1357], "largest": [5, 6, 7, 13, 31, 32, 51, 84, 85, 113, 122, 149, 210, 211, 212, 213, 225, 312, 313, 325, 326, 342, 348, 349, 350, 355, 385, 386, 392, 394, 401, 407, 408, 409, 434, 435, 579, 697, 763, 1115, 1197], "possibl": [5, 13, 53, 71, 89, 93, 94, 100, 101, 102, 104, 105, 106, 108, 111, 112, 116, 207, 212, 214, 227, 235, 244, 257, 258, 259, 260, 265, 272, 276, 278, 279, 282, 289, 305, 316, 322, 323, 330, 332, 358, 360, 361, 364, 382, 385, 388, 424, 466, 467, 498, 510, 563, 577, 591, 617, 637, 678, 680, 695, 736, 740, 746, 747, 751, 752, 762, 764, 788, 1039, 1045, 1091, 1118, 1185, 1193, 1194, 1213, 1214, 1215, 1216, 1230, 1234, 1236, 1238, 1240, 1241, 1242, 1246, 1275, 1280, 1301, 1329, 1332, 1334, 1412, 1414, 1415, 1418, 1434, 1436], "rang": [5, 7, 11, 27, 29, 30, 37, 38, 39, 45, 53, 65, 72, 84, 90, 102, 103, 153, 208, 244, 271, 385, 588, 646, 798, 856, 894, 901, 930, 937, 976, 983, 1013, 1040, 1042, 1043, 1143, 1156, 1158, 1160, 1163, 1166, 1179, 1185, 1199, 1201, 1202, 1203, 1204, 1217, 1218, 1297, 1301, 1303, 1308, 1436], "yield": [5, 14, 72, 89, 103, 146, 149, 169, 181, 183, 190, 208, 256, 294, 296, 340, 341, 348, 349, 355, 364, 378, 383, 389, 420, 421, 424, 445, 452, 455, 457, 459, 466, 467, 468, 491, 532, 542, 563, 577, 579, 586, 587, 589, 649, 705, 706, 707, 712, 713, 719, 720, 736, 738, 867, 873, 880, 894, 912, 916, 930, 948, 954, 962, 976, 994, 998, 1013, 1199, 1205, 1217, 1218, 1284, 1285, 1302, 1387, 1416, 1420, 1421, 1422, 1426, 1429, 1431, 1436], "least": [5, 11, 95, 96, 100, 101, 103, 110, 113, 121, 128, 221, 228, 230, 232, 236, 250, 251, 265, 297, 302, 303, 304, 309, 310, 324, 325, 326, 343, 345, 363, 365, 366, 367, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 439, 441, 442, 485, 486, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 522, 523, 567, 568, 577, 610, 621, 665, 763, 1103, 1150, 1173, 1359, 1360, 1385], "final": [5, 94, 100, 105, 208, 218, 228, 231, 232, 382, 414, 433, 513, 603, 764, 894, 930, 976, 1013, 1048, 1194, 1221, 1225, 1284, 1285, 1302, 1306, 1334, 1408, 1413, 1418, 1420, 1422, 1423], "invoc": [5, 8, 1041, 1302], "bfs_beam_edg": 5, "equival": [5, 8, 103, 145, 146, 149, 172, 185, 212, 213, 282, 294, 331, 387, 437, 442, 493, 496, 519, 547, 588, 590, 620, 621, 684, 686, 763, 784, 793, 869, 875, 914, 918, 950, 957, 996, 1001, 1041, 1044, 1100, 1120, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1171, 1211, 1228, 1302, 1369, 1408, 1416, 1417, 1436], "plain": [5, 1415, 1416], "old": [5, 103, 108, 587, 589, 741, 1300, 1301, 1404, 1411, 1412, 1413, 1414, 1416, 1420, 1421, 1422, 1428, 1431, 1434], "therefor": [5, 94, 95, 133, 354, 464, 493, 494, 514, 677, 1198, 1201, 1242, 1411, 1414], "all": [5, 11, 26, 36, 46, 47, 56, 58, 65, 81, 87, 89, 93, 94, 95, 96, 100, 101, 102, 103, 104, 110, 111, 112, 113, 116, 128, 133, 143, 145, 146, 152, 153, 158, 159, 161, 163, 164, 165, 166, 167, 169, 170, 176, 177, 178, 181, 185, 186, 189, 190, 194, 195, 198, 199, 203, 205, 207, 212, 214, 215, 217, 221, 222, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 242, 244, 245, 247, 248, 249, 250, 253, 254, 257, 258, 259, 260, 261, 262, 263, 265, 270, 273, 274, 275, 277, 278, 279, 281, 282, 290, 291, 292, 293, 294, 296, 298, 299, 300, 301, 304, 306, 307, 308, 312, 313, 315, 316, 317, 321, 323, 324, 325, 326, 327, 328, 331, 332, 334, 335, 339, 341, 347, 348, 349, 350, 351, 353, 355, 357, 358, 359, 360, 361, 362, 364, 371, 373, 374, 375, 378, 379, 382, 383, 384, 387, 389, 391, 392, 393, 396, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 429, 430, 431, 441, 442, 445, 452, 453, 454, 455, 456, 457, 458, 462, 463, 469, 470, 471, 472, 475, 478, 483, 484, 488, 491, 493, 498, 499, 502, 503, 504, 506, 507, 508, 509, 510, 514, 519, 525, 547, 554, 555, 556, 561, 563, 566, 567, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 583, 585, 588, 592, 595, 596, 597, 598, 599, 603, 617, 621, 630, 631, 632, 634, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 654, 660, 661, 662, 663, 664, 667, 668, 669, 670, 671, 674, 675, 679, 680, 682, 689, 690, 691, 693, 694, 695, 706, 707, 711, 712, 713, 714, 715, 716, 717, 719, 720, 721, 730, 735, 740, 746, 747, 752, 753, 754, 762, 793, 798, 853, 855, 856, 858, 859, 861, 862, 863, 864, 865, 867, 871, 872, 873, 875, 876, 879, 880, 884, 885, 888, 892, 893, 898, 900, 901, 903, 904, 906, 907, 908, 909, 910, 912, 916, 917, 918, 919, 923, 924, 926, 928, 929, 934, 936, 937, 939, 940, 942, 943, 944, 945, 946, 948, 949, 952, 953, 954, 957, 958, 961, 962, 966, 967, 970, 974, 975, 980, 983, 985, 986, 988, 989, 990, 991, 992, 994, 995, 998, 999, 1001, 1002, 1006, 1007, 1009, 1011, 1012, 1040, 1041, 1042, 1043, 1045, 1049, 1057, 1058, 1060, 1061, 1065, 1069, 1087, 1090, 1097, 1103, 1108, 1111, 1115, 1116, 1118, 1120, 1127, 1128, 1129, 1133, 1141, 1143, 1146, 1150, 1151, 1154, 1156, 1157, 1160, 1161, 1171, 1180, 1189, 1195, 1213, 1214, 1216, 1218, 1222, 1223, 1225, 1232, 1237, 1240, 1242, 1246, 1257, 1269, 1276, 1278, 1279, 1284, 1285, 1288, 1293, 1294, 1301, 1302, 1304, 1316, 1317, 1328, 1329, 1330, 1332, 1334, 1338, 1339, 1377, 1387, 1388, 1391, 1396, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1425, 1429, 1434, 1436], "eventu": [5, 100, 655, 1045], "visit": [5, 113, 230, 233, 390, 705, 713, 719, 720, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "log_m": 5, "ceil": [5, 1206], "log2": 5, "pow": 5, "sinc": [5, 8, 94, 98, 102, 103, 196, 268, 281, 282, 323, 346, 347, 348, 349, 350, 351, 353, 356, 364, 473, 474, 475, 476, 477, 514, 548, 549, 550, 555, 590, 638, 722, 740, 755, 763, 793, 886, 925, 968, 1008, 1041, 1136, 1149, 1150, 1181, 1183, 1192, 1228, 1240, 1279, 1284, 1285, 1332, 1334, 1339, 1343, 1344, 1369, 1370, 1412, 1421, 1422], "we": [5, 11, 14, 26, 53, 55, 56, 58, 59, 81, 92, 93, 94, 95, 96, 100, 102, 103, 106, 108, 109, 110, 111, 112, 116, 133, 215, 216, 221, 228, 231, 232, 239, 244, 281, 294, 298, 299, 311, 323, 372, 389, 391, 392, 396, 400, 413, 414, 418, 419, 420, 421, 429, 430, 432, 433, 441, 452, 462, 469, 502, 514, 532, 542, 579, 585, 588, 600, 634, 656, 721, 724, 735, 762, 764, 798, 949, 995, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1064, 1085, 1088, 1091, 1154, 1168, 1171, 1181, 1183, 1201, 1213, 1223, 1284, 1285, 1302, 1306, 1332, 1334, 1356, 1364, 1387, 1402, 1403, 1411, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1423, 1425, 1434, 1436], "ar": [5, 8, 11, 13, 25, 35, 39, 42, 44, 46, 53, 54, 55, 56, 58, 59, 66, 71, 72, 75, 87, 89, 90, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 111, 112, 113, 115, 116, 117, 124, 126, 128, 133, 134, 143, 145, 152, 153, 158, 159, 161, 162, 165, 166, 167, 168, 169, 172, 176, 178, 181, 182, 185, 186, 189, 190, 196, 199, 200, 202, 205, 207, 208, 209, 213, 214, 217, 221, 225, 231, 232, 233, 240, 241, 247, 248, 250, 253, 254, 256, 257, 258, 259, 260, 261, 262, 263, 265, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 297, 298, 299, 300, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 316, 317, 318, 319, 320, 321, 322, 324, 325, 326, 327, 328, 330, 331, 332, 333, 337, 338, 339, 343, 347, 348, 349, 352, 353, 354, 357, 358, 359, 360, 361, 362, 364, 372, 375, 376, 379, 382, 384, 387, 391, 392, 393, 398, 412, 415, 416, 417, 418, 420, 421, 423, 424, 426, 429, 431, 435, 436, 437, 438, 439, 440, 442, 451, 452, 453, 454, 455, 456, 459, 460, 462, 464, 466, 467, 469, 472, 473, 474, 475, 476, 477, 478, 479, 480, 484, 487, 488, 489, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 522, 523, 527, 530, 537, 540, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 583, 585, 587, 588, 589, 590, 591, 592, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 617, 618, 620, 621, 625, 627, 628, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 679, 680, 682, 683, 684, 685, 686, 689, 690, 691, 693, 695, 696, 705, 706, 712, 713, 714, 715, 716, 717, 719, 720, 721, 724, 725, 726, 727, 728, 730, 732, 734, 735, 736, 737, 738, 739, 741, 750, 751, 752, 754, 755, 762, 763, 764, 772, 777, 788, 793, 798, 852, 855, 856, 858, 859, 861, 864, 865, 866, 867, 869, 871, 873, 874, 875, 876, 879, 880, 886, 888, 889, 891, 893, 894, 897, 900, 901, 903, 904, 906, 909, 910, 911, 912, 914, 916, 917, 918, 919, 925, 926, 927, 930, 933, 936, 937, 939, 940, 942, 945, 946, 947, 948, 949, 950, 952, 954, 955, 957, 958, 961, 962, 965, 966, 968, 970, 971, 973, 976, 979, 982, 983, 985, 986, 988, 991, 992, 993, 994, 995, 996, 998, 999, 1001, 1002, 1005, 1006, 1008, 1009, 1010, 1013, 1015, 1021, 1022, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1062, 1063, 1064, 1067, 1069, 1079, 1080, 1085, 1086, 1088, 1089, 1090, 1091, 1100, 1101, 1103, 1104, 1105, 1106, 1107, 1108, 1110, 1111, 1113, 1115, 1118, 1120, 1122, 1123, 1126, 1127, 1129, 1133, 1139, 1140, 1141, 1143, 1146, 1147, 1150, 1151, 1152, 1154, 1155, 1156, 1157, 1158, 1160, 1161, 1162, 1163, 1165, 1166, 1169, 1171, 1174, 1175, 1176, 1177, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1191, 1195, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1210, 1213, 1215, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1228, 1229, 1230, 1231, 1233, 1234, 1235, 1238, 1239, 1241, 1242, 1243, 1244, 1245, 1247, 1248, 1266, 1275, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1308, 1313, 1315, 1316, 1317, 1318, 1329, 1330, 1332, 1334, 1335, 1337, 1340, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1359, 1360, 1362, 1363, 1364, 1365, 1367, 1368, 1369, 1370, 1371, 1385, 1386, 1387, 1388, 1390, 1393, 1396, 1398, 1401, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1429, 1434, 1436], "alwai": [5, 93, 95, 104, 230, 279, 452, 466, 617, 638, 688, 694, 719, 720, 722, 764, 1092, 1093, 1141, 1188, 1190, 1213, 1216, 1278, 1411, 1414, 1415, 1421, 1422, 1423, 1434, 1436], "same": [5, 8, 42, 51, 81, 94, 96, 102, 103, 104, 105, 110, 112, 115, 116, 145, 148, 153, 158, 159, 168, 172, 182, 196, 197, 198, 202, 203, 205, 227, 236, 245, 250, 279, 284, 286, 292, 294, 298, 299, 300, 308, 323, 325, 326, 331, 348, 349, 354, 363, 364, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 462, 466, 482, 496, 497, 499, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 548, 549, 550, 551, 552, 553, 557, 558, 559, 560, 567, 568, 570, 574, 576, 585, 586, 587, 588, 589, 590, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 610, 617, 621, 625, 628, 629, 633, 643, 645, 673, 674, 675, 676, 677, 680, 692, 693, 695, 707, 721, 732, 735, 737, 739, 782, 784, 788, 851, 856, 858, 859, 866, 869, 874, 886, 887, 891, 892, 893, 896, 901, 903, 904, 911, 914, 925, 928, 932, 937, 939, 940, 947, 948, 950, 955, 962, 968, 969, 973, 974, 975, 978, 983, 985, 986, 993, 994, 996, 1008, 1011, 1022, 1043, 1050, 1083, 1087, 1101, 1104, 1120, 1123, 1132, 1136, 1137, 1138, 1139, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1166, 1175, 1176, 1181, 1183, 1213, 1214, 1216, 1245, 1277, 1278, 1283, 1284, 1285, 1300, 1301, 1302, 1309, 1329, 1332, 1334, 1353, 1367, 1368, 1402, 1403, 1411, 1413, 1415, 1416, 1419, 1421, 1422, 1423, 1425, 1434, 1436], "mai": [5, 8, 46, 58, 59, 93, 94, 95, 98, 100, 101, 102, 104, 105, 108, 111, 112, 146, 149, 166, 208, 211, 212, 216, 217, 231, 232, 340, 349, 354, 375, 380, 391, 392, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 442, 455, 462, 466, 472, 496, 500, 501, 504, 505, 508, 509, 512, 514, 561, 562, 567, 568, 587, 589, 600, 608, 617, 620, 621, 628, 629, 634, 637, 661, 662, 663, 664, 680, 695, 697, 700, 701, 712, 737, 739, 753, 762, 793, 852, 864, 894, 897, 909, 930, 933, 945, 956, 976, 979, 991, 1000, 1013, 1041, 1045, 1046, 1085, 1088, 1089, 1123, 1131, 1132, 1150, 1156, 1158, 1163, 1165, 1166, 1169, 1174, 1181, 1183, 1191, 1223, 1240, 1301, 1302, 1334, 1365, 1369, 1387, 1388, 1390, 1402, 1411, 1412, 1413, 1414, 1422, 1423, 1426, 1427, 1434, 1436], "mani": [5, 51, 55, 92, 93, 94, 95, 98, 102, 103, 104, 108, 111, 113, 115, 116, 152, 157, 221, 230, 329, 359, 496, 621, 634, 751, 774, 798, 855, 857, 900, 902, 938, 984, 1040, 1042, 1043, 1045, 1046, 1127, 1129, 1139, 1154, 1199, 1203, 1257, 1288, 1302, 1316, 1332, 1334, 1390, 1391, 1402, 1405, 1407, 1408, 1409, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1423, 1436], "depend": [5, 14, 93, 94, 100, 104, 105, 106, 108, 110, 112, 133, 218, 250, 323, 327, 331, 346, 355, 356, 424, 431, 468, 481, 793, 1041, 1097, 1131, 1132, 1174, 1179, 1240, 1289, 1290, 1302, 1310, 1311, 1325, 1332, 1368, 1395, 1404, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1434, 1436], "At": [5, 98, 100, 108, 231, 232, 354, 375, 567, 568, 782, 1404, 1413, 1436], "point": [5, 7, 11, 46, 53, 54, 56, 59, 60, 87, 93, 95, 98, 100, 104, 113, 176, 189, 223, 230, 389, 391, 392, 396, 473, 474, 475, 476, 477, 485, 498, 499, 503, 506, 507, 510, 567, 568, 583, 620, 623, 655, 662, 669, 871, 879, 952, 961, 1041, 1154, 1180, 1201, 1213, 1216, 1219, 1221, 1408, 1411, 1412, 1415, 1422, 1423, 1430, 1434], "have": [5, 7, 29, 35, 58, 66, 77, 89, 92, 93, 94, 95, 96, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 110, 112, 113, 116, 122, 128, 148, 169, 177, 185, 190, 203, 205, 208, 209, 220, 221, 223, 224, 228, 229, 230, 231, 232, 233, 236, 244, 266, 283, 284, 285, 286, 287, 288, 289, 296, 297, 300, 302, 303, 309, 310, 321, 325, 326, 338, 350, 351, 352, 359, 363, 364, 371, 380, 384, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 427, 428, 429, 431, 433, 436, 444, 445, 446, 447, 449, 450, 458, 460, 461, 466, 468, 493, 494, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 525, 561, 562, 563, 564, 565, 567, 568, 578, 579, 580, 581, 582, 590, 593, 594, 601, 602, 604, 605, 606, 617, 620, 621, 643, 645, 649, 654, 660, 679, 682, 693, 709, 713, 721, 723, 724, 725, 726, 727, 728, 736, 737, 738, 739, 750, 751, 753, 755, 764, 788, 793, 867, 872, 875, 880, 892, 893, 894, 912, 918, 928, 929, 930, 948, 953, 956, 957, 962, 974, 975, 976, 994, 1000, 1001, 1011, 1012, 1013, 1043, 1045, 1046, 1063, 1069, 1071, 1087, 1104, 1105, 1106, 1108, 1112, 1121, 1123, 1132, 1151, 1156, 1158, 1161, 1163, 1165, 1166, 1169, 1171, 1181, 1182, 1183, 1185, 1191, 1194, 1200, 1213, 1214, 1216, 1219, 1221, 1222, 1223, 1228, 1240, 1260, 1263, 1278, 1284, 1285, 1301, 1302, 1306, 1308, 1316, 1330, 1332, 1334, 1364, 1367, 1368, 1371, 1372, 1387, 1398, 1402, 1403, 1404, 1408, 1411, 1412, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1430, 1433, 1434, 1436], "been": [5, 11, 66, 89, 92, 95, 98, 100, 102, 104, 311, 325, 358, 371, 566, 568, 713, 719, 720, 788, 1045, 1046, 1171, 1194, 1275, 1302, 1306, 1332, 1387, 1390, 1402, 1403, 1404, 1407, 1408, 1413, 1414, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1424, 1426, 1432, 1434, 1436], "know": [5, 93, 94, 95, 98, 100, 111, 311, 1045, 1332, 1404], "random": [5, 6, 24, 28, 29, 32, 48, 63, 64, 65, 81, 84, 87, 94, 97, 99, 100, 111, 209, 214, 218, 223, 224, 228, 231, 232, 272, 273, 275, 276, 297, 298, 302, 303, 307, 309, 310, 327, 333, 370, 375, 376, 379, 380, 382, 383, 390, 424, 591, 595, 627, 672, 677, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 740, 749, 760, 784, 1044, 1103, 1114, 1120, 1145, 1152, 1163, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1213, 1216, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1284, 1285, 1289, 1290, 1305, 1307, 1309, 1310, 1311, 1325, 1331, 1403, 1404, 1408, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1433, 1434], "comput": [5, 6, 9, 11, 14, 17, 20, 27, 32, 35, 55, 59, 62, 66, 70, 72, 92, 94, 102, 111, 112, 113, 116, 126, 138, 139, 142, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 227, 229, 236, 237, 240, 241, 242, 245, 249, 257, 258, 259, 260, 261, 262, 263, 264, 278, 279, 281, 282, 286, 290, 296, 297, 298, 299, 300, 302, 303, 304, 305, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 336, 337, 338, 339, 343, 345, 346, 347, 348, 349, 350, 351, 355, 356, 357, 358, 359, 360, 361, 362, 382, 385, 398, 407, 408, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 432, 433, 442, 443, 447, 448, 454, 455, 459, 460, 470, 478, 483, 484, 487, 488, 489, 496, 499, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 521, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 578, 579, 583, 585, 593, 594, 595, 618, 620, 621, 622, 623, 626, 634, 635, 637, 638, 639, 640, 643, 644, 645, 646, 647, 648, 650, 651, 654, 656, 657, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 677, 680, 682, 684, 685, 686, 687, 688, 689, 690, 700, 701, 753, 754, 755, 762, 768, 771, 773, 777, 779, 780, 781, 786, 787, 793, 796, 1041, 1046, 1050, 1069, 1088, 1089, 1111, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1137, 1138, 1139, 1144, 1145, 1146, 1147, 1148, 1198, 1200, 1201, 1203, 1204, 1209, 1215, 1219, 1221, 1232, 1245, 1251, 1274, 1275, 1281, 1282, 1283, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1308, 1332, 1334, 1404, 1408, 1411, 1415, 1416, 1420, 1422, 1423, 1425, 1429, 1430, 1434], "perform": [5, 54, 59, 87, 97, 102, 104, 110, 214, 218, 239, 283, 300, 341, 375, 388, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 431, 471, 498, 502, 513, 514, 571, 586, 603, 627, 665, 694, 695, 696, 712, 764, 788, 1045, 1108, 1120, 1170, 1213, 1225, 1275, 1301, 1332, 1342, 1402, 1404, 1408, 1411, 1414, 1415, 1421, 1422, 1423, 1431, 1434], "reproduc": [5, 7, 9, 12, 20, 27, 29, 30, 31, 32, 40, 43, 47, 63, 64, 66, 89, 90, 95, 104, 111, 166, 864, 909, 945, 991, 1334, 1414, 1417, 1422], "89": [5, 304, 324, 522, 523], "gnp_random_graph": [5, 14, 28, 89, 276, 1179, 1209, 1210, 1211, 1230, 1234, 1236, 1241, 1406, 1415], "eigenvector_centr": [5, 300, 305, 313, 321, 323, 325, 326, 705, 1415, 1416], "avg_centr": 5, "sum": [5, 20, 81, 89, 94, 116, 167, 176, 189, 199, 220, 224, 227, 230, 231, 232, 236, 237, 242, 243, 244, 245, 248, 253, 258, 259, 270, 272, 274, 277, 281, 290, 298, 301, 307, 315, 316, 321, 323, 327, 329, 332, 334, 335, 348, 351, 354, 356, 358, 359, 373, 374, 382, 384, 385, 386, 387, 431, 445, 449, 450, 451, 498, 499, 503, 506, 507, 508, 510, 515, 518, 519, 520, 566, 567, 583, 585, 595, 628, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 678, 687, 690, 691, 736, 738, 740, 753, 755, 865, 871, 879, 888, 910, 926, 946, 952, 961, 970, 992, 1009, 1105, 1106, 1108, 1171, 1176, 1179, 1181, 1182, 1183, 1192, 1199, 1204, 1205, 1214, 1215, 1228, 1276, 1281, 1282, 1283, 1286, 1287, 1291, 1292, 1295, 1297, 1299, 1302, 1425, 1436], "has_high_centr": 5, "get": [5, 27, 46, 55, 70, 85, 89, 94, 97, 102, 103, 104, 110, 116, 185, 231, 232, 239, 286, 325, 326, 341, 357, 376, 383, 468, 490, 513, 514, 525, 577, 590, 591, 603, 656, 672, 680, 705, 706, 729, 741, 754, 875, 918, 957, 987, 1001, 1039, 1067, 1068, 1085, 1088, 1091, 1149, 1171, 1240, 1273, 1301, 1306, 1332, 1334, 1402, 1403, 1406, 1410, 1413, 1415, 1416, 1419, 1420, 1421, 1422, 1423, 1428, 1436], "found_nod": 5, "print": [5, 8, 9, 11, 12, 13, 14, 15, 20, 21, 26, 32, 35, 45, 46, 50, 63, 64, 65, 66, 67, 68, 70, 72, 75, 77, 78, 81, 85, 87, 88, 91, 94, 116, 237, 238, 242, 245, 249, 252, 255, 264, 266, 282, 285, 286, 288, 301, 313, 314, 325, 326, 333, 334, 335, 357, 358, 359, 360, 361, 362, 376, 389, 391, 392, 396, 397, 398, 451, 453, 504, 508, 569, 570, 571, 572, 573, 574, 575, 576, 600, 608, 618, 628, 632, 634, 635, 637, 639, 640, 644, 646, 648, 649, 651, 655, 656, 662, 664, 665, 666, 668, 669, 671, 679, 680, 682, 705, 708, 709, 710, 746, 751, 1045, 1066, 1102, 1108, 1179, 1223, 1287, 1291, 1301, 1302, 1332, 1337, 1341, 1347, 1351, 1360, 1361, 1370, 1375, 1386, 1387, 1395, 1413, 1417, 1425, 1436], "f": [5, 8, 9, 11, 12, 13, 14, 15, 16, 17, 20, 26, 27, 46, 47, 56, 58, 62, 63, 64, 65, 66, 67, 68, 72, 83, 84, 89, 90, 103, 104, 111, 113, 221, 242, 245, 301, 312, 313, 314, 325, 326, 327, 334, 335, 347, 348, 349, 375, 425, 429, 436, 510, 518, 547, 569, 570, 571, 572, 573, 574, 575, 576, 590, 608, 640, 644, 646, 648, 649, 651, 662, 664, 666, 668, 669, 671, 693, 734, 751, 1046, 1048, 1049, 1050, 1105, 1206, 1207, 1241, 1284, 1286, 1296, 1302, 1329, 1358, 1360, 1384, 1386, 1414, 1421, 1436], "draw": [5, 6, 7, 9, 12, 13, 14, 20, 21, 22, 25, 27, 29, 30, 31, 33, 34, 35, 37, 38, 41, 42, 43, 45, 46, 50, 51, 55, 56, 58, 59, 63, 64, 66, 68, 72, 75, 76, 77, 78, 80, 81, 82, 84, 85, 89, 90, 94, 96, 98, 106, 108, 111, 112, 616, 618, 760, 1119, 1127, 1128, 1129, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1199, 1204, 1219, 1331, 1334, 1387, 1390, 1402, 1403, 1404, 1405, 1408, 1413, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1434], "node_color": [5, 6, 8, 10, 13, 16, 17, 22, 26, 29, 30, 31, 33, 34, 35, 36, 37, 38, 39, 40, 44, 55, 57, 58, 59, 66, 69, 70, 71, 72, 81, 82, 83, 85, 1045, 1137, 1138, 1139, 1143, 1144, 1145, 1146, 1147, 1148, 1332, 1420, 1436], "node_s": [5, 6, 7, 8, 10, 14, 16, 22, 26, 28, 29, 31, 33, 34, 35, 36, 38, 39, 40, 41, 44, 45, 46, 47, 51, 55, 56, 57, 58, 59, 66, 69, 70, 71, 72, 81, 82, 83, 84, 85, 1139, 1141, 1143, 1436], "edge_color": [5, 6, 17, 26, 29, 30, 33, 36, 39, 45, 46, 47, 55, 57, 69, 70, 84, 145, 1139, 1141, 1332, 1420], "grei": [5, 59], "linewidth": [5, 15, 22, 35, 39, 55, 59, 66, 70, 557, 558, 559, 560, 1139, 1143], "red": [5, 10, 13, 16, 17, 31, 36, 39, 45, 72, 75, 78, 84, 94, 169, 190, 237, 238, 247, 269, 466, 471, 548, 549, 550, 554, 555, 556, 557, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 693, 762, 798, 867, 880, 912, 948, 962, 994, 1040, 1042, 1043, 1045, 1067, 1068, 1089, 1103, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1284, 1285, 1308, 1332, 1345, 1403, 1415, 1416, 1436], "draw_networkx_nod": [5, 17, 26, 28, 29, 31, 34, 36, 39, 40, 47, 69, 1136, 1139, 1140, 1141, 1142, 1417, 1422], "nodelist": [5, 15, 31, 34, 36, 40, 84, 327, 567, 631, 751, 1078, 1097, 1098, 1099, 1105, 1106, 1107, 1108, 1139, 1141, 1143, 1179, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1326, 1327, 1415, 1422], "r": [5, 6, 7, 17, 26, 31, 35, 36, 46, 59, 68, 69, 70, 72, 90, 92, 94, 98, 104, 107, 111, 133, 210, 212, 213, 215, 216, 217, 221, 225, 227, 236, 237, 240, 241, 242, 245, 249, 258, 281, 283, 301, 345, 363, 389, 391, 392, 396, 407, 408, 411, 413, 414, 418, 419, 420, 421, 459, 464, 477, 496, 497, 500, 501, 504, 505, 508, 509, 510, 511, 512, 579, 588, 595, 598, 600, 601, 603, 604, 605, 608, 610, 611, 620, 623, 627, 655, 672, 677, 679, 680, 693, 1046, 1151, 1161, 1168, 1175, 1179, 1191, 1199, 1201, 1211, 1212, 1223, 1229, 1235, 1241, 1271, 1277, 1286, 1296, 1303, 1306, 1308, 1329, 1332, 1350, 1388, 1402, 1406, 1414, 1415, 1417], "73": [5, 436, 1198], "12598283530728402": 5, "214": [5, 18, 214], "plot_beam_search": [5, 18], "measur": [6, 12, 56, 94, 116, 129, 237, 240, 241, 242, 245, 249, 261, 262, 263, 291, 297, 298, 301, 302, 303, 304, 309, 310, 312, 313, 315, 317, 318, 324, 325, 326, 327, 329, 331, 337, 357, 521, 576, 595, 638, 673, 676, 678, 684, 689, 690, 754, 760, 784, 787, 795, 1195, 1196, 1261, 1331, 1408, 1415, 1416, 1420, 1421, 1425, 1426, 1436], "gene": [6, 1422], "associ": [6, 11, 96, 102, 103, 104, 113, 152, 153, 171, 313, 334, 335, 373, 649, 672, 677, 679, 798, 855, 856, 868, 900, 901, 913, 936, 937, 949, 982, 983, 995, 1040, 1041, 1042, 1043, 1084, 1186, 1198, 1275, 1278, 1330, 1332, 1335, 1347, 1348, 1350, 1389, 1403, 1404, 1413, 1436], "wormnet": 6, "data": [6, 7, 9, 16, 17, 26, 27, 35, 37, 39, 40, 41, 46, 47, 50, 53, 55, 56, 57, 58, 59, 66, 67, 68, 69, 70, 72, 75, 85, 89, 90, 94, 102, 103, 107, 110, 111, 116, 152, 153, 158, 159, 160, 166, 169, 171, 177, 185, 190, 191, 193, 198, 201, 203, 205, 209, 221, 227, 228, 229, 230, 231, 232, 233, 250, 252, 266, 267, 268, 269, 278, 281, 283, 284, 285, 286, 287, 289, 291, 292, 296, 297, 302, 303, 304, 309, 310, 316, 323, 324, 327, 332, 376, 379, 384, 393, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 460, 461, 462, 471, 478, 504, 505, 508, 509, 567, 568, 583, 585, 590, 593, 594, 595, 601, 602, 604, 614, 617, 626, 630, 631, 632, 672, 677, 678, 692, 693, 725, 726, 727, 728, 736, 737, 738, 739, 798, 852, 855, 856, 858, 859, 860, 864, 867, 868, 872, 875, 880, 881, 883, 890, 892, 893, 897, 900, 901, 903, 904, 905, 909, 912, 913, 918, 922, 928, 929, 933, 936, 937, 939, 940, 941, 945, 948, 949, 953, 957, 962, 966, 972, 974, 975, 979, 982, 983, 985, 986, 987, 991, 994, 995, 1001, 1006, 1011, 1012, 1015, 1016, 1021, 1039, 1040, 1041, 1042, 1043, 1060, 1066, 1087, 1088, 1090, 1091, 1094, 1097, 1098, 1100, 1101, 1102, 1103, 1104, 1105, 1107, 1108, 1112, 1121, 1161, 1179, 1195, 1223, 1225, 1275, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1300, 1308, 1313, 1315, 1318, 1331, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1375, 1376, 1377, 1380, 1383, 1384, 1385, 1386, 1388, 1389, 1390, 1391, 1393, 1394, 1395, 1396, 1402, 1403, 1404, 1413, 1414, 1415, 1416, 1421, 1422, 1423, 1434, 1436], "http": [6, 7, 26, 35, 39, 46, 50, 51, 53, 56, 57, 66, 67, 69, 70, 72, 92, 94, 100, 107, 108, 111, 112, 113, 121, 122, 129, 133, 166, 203, 205, 211, 212, 214, 215, 216, 217, 218, 221, 227, 231, 232, 236, 250, 258, 259, 260, 275, 279, 283, 284, 294, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 323, 324, 325, 326, 327, 328, 329, 331, 332, 334, 335, 340, 342, 343, 344, 347, 348, 349, 357, 358, 359, 360, 364, 373, 374, 375, 382, 387, 388, 411, 412, 413, 414, 415, 416, 417, 419, 425, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 444, 446, 447, 448, 449, 450, 453, 454, 455, 456, 457, 469, 471, 478, 479, 480, 481, 485, 486, 487, 488, 489, 490, 492, 496, 500, 513, 514, 516, 521, 547, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 592, 608, 616, 618, 620, 621, 627, 662, 669, 672, 673, 674, 675, 676, 677, 678, 687, 690, 692, 694, 695, 697, 698, 700, 701, 706, 708, 709, 710, 712, 721, 722, 731, 733, 734, 735, 736, 738, 750, 751, 752, 753, 754, 762, 763, 764, 769, 784, 793, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1114, 1136, 1139, 1140, 1141, 1142, 1143, 1171, 1175, 1176, 1177, 1191, 1194, 1203, 1204, 1206, 1212, 1224, 1225, 1239, 1245, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1275, 1288, 1326, 1327, 1347, 1348, 1350, 1357, 1358, 1359, 1360, 1367, 1368, 1373, 1374, 1379, 1381, 1382, 1383, 1384, 1385, 1386, 1389, 1391, 1393, 1394, 1397, 1402, 1403, 1406, 1407, 1408, 1409, 1415, 1416, 1421, 1425, 1426], "www": [6, 27, 35, 39, 66, 69, 70, 72, 113, 129, 221, 236, 250, 312, 313, 316, 317, 318, 332, 411, 412, 413, 414, 415, 416, 417, 419, 432, 437, 438, 444, 446, 449, 450, 469, 478, 485, 513, 514, 521, 557, 566, 569, 570, 572, 573, 574, 620, 690, 692, 695, 706, 708, 709, 710, 712, 721, 735, 736, 738, 750, 752, 764, 1045, 1171, 1256, 1265, 1268, 1373, 1374, 1394], "inetbio": 6, "org": [6, 7, 39, 46, 51, 53, 56, 69, 81, 93, 94, 100, 111, 113, 121, 122, 129, 133, 166, 203, 205, 211, 212, 214, 218, 221, 227, 231, 232, 258, 259, 260, 275, 279, 283, 284, 294, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 314, 315, 316, 317, 323, 324, 328, 329, 331, 332, 334, 335, 340, 342, 343, 347, 348, 349, 357, 359, 360, 364, 373, 374, 375, 382, 387, 388, 425, 427, 428, 429, 433, 434, 435, 436, 437, 438, 439, 440, 443, 447, 448, 454, 455, 456, 457, 471, 478, 485, 486, 487, 488, 489, 490, 492, 496, 500, 513, 514, 516, 547, 570, 571, 574, 575, 576, 592, 621, 627, 672, 677, 678, 687, 695, 697, 698, 706, 712, 722, 731, 733, 734, 750, 752, 754, 762, 763, 764, 769, 784, 793, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1114, 1136, 1139, 1140, 1141, 1142, 1143, 1175, 1176, 1177, 1191, 1194, 1203, 1212, 1225, 1239, 1245, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1275, 1326, 1327, 1347, 1367, 1368, 1391, 1393, 1405, 1408, 1415, 1425, 1434], "downloadnetwork": 6, "php": [6, 26], "sampl": [6, 46, 228, 297, 298, 307, 590, 677, 740, 1191, 1215, 1232, 1245, 1275, 1321, 1322, 1323, 1324, 1421, 1422, 1423], "gold": [6, 37], "standard": [6, 14, 70, 90, 93, 94, 95, 100, 102, 103, 104, 105, 106, 111, 112, 333, 337, 722, 793, 956, 1000, 1185, 1202, 1203, 1204, 1219, 1223, 1288, 1308, 1332, 1334, 1356, 1389, 1390, 1391, 1403, 1411, 1416, 1422, 1434, 1436], "read_edgelist": [6, 7, 21, 41, 1345, 1346, 1392, 1407, 1415, 1422, 1423], "v3": [6, 94, 350, 351, 356, 1413, 1425, 1431, 1434], "benchmark": [6, 108, 1171, 1415, 1416], "txt": [6, 35, 41, 66, 69, 70, 72, 94, 107, 1405, 1417], "remov": [6, 17, 44, 66, 90, 94, 96, 103, 128, 143, 163, 164, 193, 194, 195, 196, 200, 210, 215, 216, 217, 221, 233, 234, 250, 294, 295, 296, 301, 323, 327, 346, 350, 351, 356, 368, 372, 376, 389, 391, 392, 396, 412, 413, 414, 415, 416, 417, 418, 419, 422, 423, 424, 429, 430, 437, 493, 494, 502, 518, 525, 661, 665, 692, 694, 696, 753, 763, 788, 862, 863, 883, 884, 885, 886, 889, 907, 908, 922, 923, 924, 925, 927, 943, 944, 956, 965, 966, 967, 968, 971, 989, 990, 1000, 1005, 1006, 1007, 1008, 1010, 1041, 1045, 1051, 1060, 1066, 1069, 1160, 1178, 1181, 1183, 1185, 1228, 1239, 1259, 1278, 1308, 1309, 1332, 1405, 1408, 1409, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1431, 1434], "randomli": [6, 103, 272, 273, 672, 677, 694, 696, 749, 1171, 1177, 1181, 1183, 1192, 1194, 1199, 1201, 1204, 1208, 1210, 1228, 1235, 1239, 1428, 1429, 1434], "select": [6, 7, 26, 27, 103, 193, 218, 230, 231, 232, 262, 263, 327, 339, 345, 567, 568, 584, 740, 749, 883, 922, 1113, 1171, 1180, 1205, 1208, 1223, 1226, 1232, 1242, 1289, 1290, 1401, 1411, 1420, 1422], "make": [6, 7, 9, 17, 26, 35, 65, 66, 76, 93, 94, 95, 96, 97, 98, 99, 100, 102, 103, 105, 107, 108, 110, 111, 112, 116, 133, 200, 231, 232, 233, 299, 301, 308, 333, 383, 385, 424, 430, 536, 546, 585, 587, 588, 589, 608, 616, 655, 659, 694, 762, 764, 782, 889, 927, 949, 971, 995, 1010, 1045, 1066, 1069, 1085, 1100, 1105, 1130, 1156, 1158, 1163, 1165, 1166, 1169, 1182, 1219, 1223, 1240, 1243, 1244, 1278, 1302, 1306, 1326, 1327, 1332, 1334, 1356, 1402, 1403, 1404, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1430, 1431, 1434, 1436], "fast": [6, 113, 211, 215, 216, 217, 218, 221, 227, 316, 332, 363, 382, 383, 429, 483, 484, 655, 672, 677, 1139, 1141, 1241, 1302, 1332, 1402, 1404, 1407, 1415, 1436], "num_to_remov": 6, "int": [6, 35, 69, 85, 104, 167, 176, 186, 187, 188, 189, 199, 231, 232, 234, 235, 267, 268, 273, 276, 284, 297, 298, 307, 332, 342, 350, 351, 354, 355, 378, 379, 384, 385, 403, 435, 436, 437, 438, 439, 460, 461, 466, 513, 514, 526, 593, 594, 595, 638, 677, 692, 693, 694, 703, 705, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 723, 854, 865, 871, 876, 877, 878, 879, 888, 899, 910, 919, 920, 921, 926, 935, 946, 952, 956, 958, 959, 960, 961, 970, 981, 992, 1000, 1002, 1003, 1004, 1009, 1083, 1084, 1101, 1103, 1104, 1105, 1106, 1107, 1110, 1111, 1113, 1114, 1117, 1118, 1119, 1120, 1127, 1129, 1139, 1140, 1141, 1142, 1149, 1151, 1152, 1153, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1187, 1188, 1189, 1190, 1191, 1193, 1194, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1210, 1211, 1217, 1219, 1220, 1221, 1224, 1225, 1226, 1227, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1247, 1279, 1300, 1302, 1303, 1305, 1306, 1307, 1308, 1310, 1311, 1317, 1325, 1338, 1339, 1342, 1343, 1344, 1351, 1354, 1355, 1356, 1362, 1363, 1364, 1376, 1377, 1387, 1388, 1390, 1414, 1418, 1420, 1421, 1423, 1425], "remove_nodes_from": [6, 90, 195, 200, 493, 494, 525, 601, 604, 885, 889, 924, 927, 967, 971, 1007, 1010, 1069, 1402, 1403, 1436], "low": [6, 15, 89, 230, 231, 232, 654, 798, 1040, 1042, 1043, 1044, 1240, 1275], "degre": [6, 9, 12, 24, 31, 35, 38, 44, 48, 61, 64, 66, 67, 73, 84, 87, 89, 129, 162, 176, 189, 211, 215, 216, 221, 234, 240, 241, 242, 243, 244, 245, 248, 260, 270, 272, 274, 275, 277, 285, 287, 290, 305, 318, 319, 320, 322, 325, 326, 330, 333, 338, 358, 359, 363, 369, 372, 382, 385, 386, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 434, 435, 436, 437, 438, 450, 462, 479, 493, 494, 502, 513, 514, 515, 516, 517, 518, 520, 524, 525, 526, 551, 552, 553, 617, 620, 624, 625, 626, 627, 690, 692, 695, 696, 697, 704, 731, 733, 742, 743, 751, 760, 761, 762, 788, 793, 798, 871, 879, 952, 961, 1040, 1042, 1043, 1062, 1150, 1151, 1171, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1188, 1191, 1192, 1197, 1213, 1214, 1215, 1216, 1228, 1229, 1233, 1240, 1241, 1243, 1244, 1245, 1257, 1278, 1286, 1291, 1292, 1293, 1294, 1300, 1326, 1327, 1331, 1332, 1387, 1396, 1402, 1407, 1408, 1411, 1413, 1415, 1416, 1420, 1422, 1425, 1426, 1436], "low_degre": 6, "n": [6, 7, 10, 11, 13, 14, 16, 17, 22, 26, 27, 28, 31, 32, 39, 40, 50, 56, 63, 64, 65, 66, 68, 69, 70, 72, 78, 81, 83, 84, 85, 89, 90, 100, 102, 103, 104, 111, 115, 116, 133, 142, 153, 158, 159, 160, 161, 173, 182, 185, 191, 192, 195, 196, 200, 201, 202, 211, 214, 228, 230, 231, 232, 236, 240, 241, 244, 258, 259, 260, 261, 262, 263, 273, 276, 279, 281, 287, 290, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 305, 307, 308, 309, 310, 314, 316, 317, 318, 319, 320, 322, 323, 325, 326, 327, 328, 330, 332, 333, 334, 335, 346, 347, 348, 356, 357, 359, 363, 372, 373, 382, 385, 386, 387, 389, 391, 392, 396, 402, 403, 404, 405, 406, 411, 412, 414, 415, 416, 420, 425, 431, 433, 436, 454, 455, 496, 500, 501, 502, 508, 511, 512, 514, 515, 516, 517, 518, 519, 524, 562, 571, 586, 594, 600, 601, 604, 610, 620, 621, 627, 630, 631, 632, 635, 649, 654, 660, 661, 679, 680, 681, 688, 689, 690, 691, 699, 703, 708, 731, 733, 745, 750, 755, 764, 798, 850, 851, 853, 856, 858, 859, 860, 861, 870, 874, 875, 881, 882, 885, 886, 889, 890, 891, 895, 896, 898, 901, 903, 904, 905, 906, 915, 917, 918, 924, 925, 927, 931, 932, 934, 937, 939, 940, 941, 942, 951, 955, 957, 963, 964, 967, 968, 971, 972, 973, 977, 978, 980, 983, 985, 986, 987, 988, 997, 999, 1001, 1007, 1008, 1010, 1040, 1042, 1043, 1045, 1063, 1069, 1071, 1076, 1097, 1120, 1123, 1125, 1127, 1132, 1134, 1142, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1173, 1174, 1175, 1180, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1197, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1217, 1218, 1219, 1220, 1221, 1222, 1224, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1277, 1278, 1279, 1292, 1300, 1303, 1308, 1321, 1322, 1329, 1330, 1332, 1351, 1358, 1359, 1360, 1384, 1385, 1386, 1388, 1402, 1403, 1413, 1415, 1418, 1420, 1422, 1434, 1436], "10": [6, 7, 9, 11, 13, 20, 26, 29, 33, 45, 46, 53, 56, 64, 65, 66, 67, 71, 90, 94, 98, 102, 103, 104, 106, 111, 112, 113, 116, 126, 129, 157, 158, 208, 211, 212, 214, 221, 227, 231, 232, 258, 259, 260, 264, 273, 275, 279, 281, 286, 294, 295, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 321, 323, 324, 325, 326, 328, 329, 331, 332, 333, 339, 340, 343, 344, 347, 348, 349, 359, 364, 376, 378, 379, 382, 387, 389, 391, 392, 394, 396, 401, 407, 408, 409, 422, 423, 424, 425, 427, 429, 430, 433, 436, 440, 443, 447, 448, 453, 454, 455, 457, 487, 488, 489, 492, 496, 498, 500, 502, 503, 506, 507, 510, 516, 517, 520, 521, 547, 557, 566, 570, 571, 574, 576, 579, 588, 600, 602, 608, 616, 618, 620, 632, 634, 672, 673, 674, 675, 676, 677, 684, 686, 695, 708, 709, 710, 731, 733, 754, 755, 762, 763, 764, 798, 857, 858, 894, 902, 903, 930, 938, 939, 949, 976, 984, 985, 995, 1013, 1040, 1042, 1043, 1044, 1055, 1056, 1057, 1097, 1103, 1105, 1107, 1109, 1112, 1139, 1140, 1141, 1154, 1160, 1171, 1174, 1176, 1185, 1186, 1187, 1188, 1190, 1194, 1199, 1205, 1210, 1239, 1241, 1245, 1246, 1254, 1261, 1265, 1279, 1281, 1326, 1327, 1347, 1361, 1362, 1412, 1414, 1421, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "connected_compon": [6, 7, 17, 26, 28, 51, 81, 84, 85, 89, 397, 402, 404, 407, 408, 409, 502, 635, 1222, 1404, 1411, 1415, 1421, 1436], "largest_compon": [6, 51], "max": [6, 15, 28, 32, 51, 85, 209, 244, 261, 262, 263, 325, 326, 348, 350, 358, 376, 392, 394, 401, 407, 408, 409, 416, 425, 467, 496, 508, 509, 519, 520, 585, 626, 687, 724, 760, 793, 1106, 1222, 1233, 1409, 1415, 1418], "kei": [6, 20, 26, 28, 31, 40, 51, 68, 84, 85, 95, 100, 101, 102, 103, 105, 107, 145, 152, 157, 158, 160, 180, 191, 200, 201, 215, 220, 221, 223, 224, 228, 229, 230, 231, 232, 233, 237, 238, 239, 240, 241, 246, 247, 249, 252, 253, 258, 259, 260, 262, 263, 266, 267, 268, 269, 278, 279, 281, 282, 283, 288, 290, 291, 292, 297, 300, 302, 303, 309, 310, 311, 321, 327, 331, 333, 348, 355, 359, 360, 362, 363, 364, 373, 374, 376, 379, 384, 392, 394, 401, 407, 408, 409, 424, 429, 434, 440, 444, 445, 446, 447, 449, 450, 452, 460, 461, 466, 473, 474, 475, 476, 477, 478, 483, 484, 490, 491, 498, 499, 503, 506, 510, 513, 514, 521, 547, 566, 567, 568, 583, 585, 587, 589, 590, 600, 607, 609, 612, 613, 617, 623, 626, 627, 628, 629, 630, 631, 632, 633, 637, 638, 639, 640, 642, 643, 644, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 678, 679, 689, 690, 715, 717, 719, 720, 725, 726, 727, 728, 736, 737, 738, 739, 740, 751, 752, 753, 754, 763, 788, 798, 852, 855, 857, 858, 860, 881, 889, 890, 897, 900, 902, 903, 905, 927, 933, 936, 937, 938, 939, 941, 948, 949, 950, 953, 956, 962, 963, 965, 966, 971, 972, 979, 982, 983, 984, 985, 987, 994, 995, 996, 1000, 1005, 1006, 1010, 1022, 1023, 1039, 1040, 1041, 1042, 1043, 1045, 1050, 1067, 1068, 1087, 1088, 1089, 1091, 1094, 1097, 1101, 1102, 1103, 1107, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1127, 1128, 1129, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1195, 1199, 1202, 1203, 1204, 1223, 1276, 1281, 1282, 1283, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1301, 1308, 1313, 1316, 1326, 1327, 1330, 1332, 1341, 1342, 1343, 1345, 1351, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1369, 1370, 1371, 1390, 1402, 1403, 1413, 1415, 1416, 1421, 1422, 1434, 1436], "betweenness_centr": [6, 12, 14, 57, 259, 260, 299, 300, 302, 303, 305, 307, 308, 309, 310, 316, 321, 323, 328, 331, 332, 333, 1089, 1407, 1408, 1415, 1422, 1423], "k": [6, 11, 16, 17, 26, 27, 35, 39, 55, 56, 57, 58, 68, 69, 89, 92, 94, 100, 102, 129, 143, 144, 194, 211, 215, 216, 217, 221, 240, 273, 285, 297, 298, 300, 302, 303, 307, 309, 310, 323, 332, 338, 357, 358, 359, 375, 376, 378, 387, 392, 411, 412, 413, 414, 415, 418, 420, 422, 423, 424, 425, 426, 427, 428, 429, 430, 434, 435, 436, 437, 438, 439, 440, 451, 462, 464, 479, 483, 484, 490, 514, 519, 522, 523, 595, 610, 620, 621, 624, 626, 627, 672, 677, 679, 682, 686, 688, 721, 730, 732, 735, 736, 738, 759, 760, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 884, 923, 937, 948, 953, 962, 966, 974, 983, 994, 1006, 1011, 1042, 1043, 1120, 1139, 1140, 1141, 1142, 1153, 1161, 1172, 1173, 1174, 1175, 1177, 1179, 1180, 1181, 1188, 1191, 1201, 1202, 1203, 1204, 1206, 1210, 1211, 1213, 1214, 1215, 1216, 1231, 1239, 1247, 1248, 1286, 1294, 1309, 1313, 1323, 1404, 1406, 1408, 1409, 1415, 1417, 1420, 1421, 1422, 1424, 1434], "endpoint": [6, 113, 117, 213, 222, 296, 298, 316, 332, 473, 474, 475, 476, 477, 580, 586, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 699, 1201, 1284, 1285], "true": [6, 7, 10, 13, 14, 15, 16, 17, 20, 25, 26, 27, 28, 35, 37, 39, 42, 45, 46, 47, 56, 57, 63, 67, 68, 75, 83, 84, 85, 90, 102, 103, 116, 133, 146, 147, 148, 149, 150, 151, 158, 166, 169, 172, 173, 174, 175, 177, 179, 185, 190, 197, 205, 209, 233, 238, 239, 243, 244, 246, 250, 251, 255, 256, 259, 266, 267, 268, 269, 273, 276, 285, 286, 287, 288, 289, 295, 296, 297, 298, 299, 300, 302, 303, 306, 307, 308, 309, 310, 315, 316, 323, 325, 326, 327, 328, 329, 332, 345, 352, 357, 359, 363, 364, 377, 389, 391, 392, 394, 395, 396, 397, 398, 399, 400, 401, 407, 408, 409, 413, 414, 417, 418, 420, 422, 423, 424, 430, 441, 456, 464, 465, 466, 469, 471, 478, 481, 482, 492, 493, 494, 495, 496, 500, 501, 503, 504, 505, 508, 509, 510, 511, 512, 515, 516, 517, 518, 519, 520, 522, 523, 524, 527, 530, 533, 534, 536, 537, 540, 543, 544, 546, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 564, 566, 580, 581, 582, 583, 585, 586, 587, 588, 589, 590, 593, 594, 602, 607, 609, 610, 612, 613, 615, 616, 618, 619, 625, 627, 636, 642, 665, 673, 674, 675, 676, 681, 683, 685, 687, 692, 698, 700, 701, 702, 706, 710, 721, 725, 726, 727, 728, 730, 731, 732, 733, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 748, 755, 762, 763, 764, 791, 793, 798, 850, 858, 864, 867, 869, 870, 872, 875, 880, 887, 893, 895, 903, 909, 912, 914, 915, 918, 929, 931, 933, 939, 945, 948, 950, 951, 953, 957, 962, 965, 966, 969, 975, 977, 979, 985, 991, 994, 996, 997, 1001, 1005, 1006, 1039, 1040, 1042, 1043, 1045, 1048, 1060, 1070, 1071, 1072, 1073, 1074, 1075, 1087, 1089, 1091, 1092, 1093, 1094, 1097, 1100, 1101, 1103, 1104, 1119, 1127, 1129, 1139, 1140, 1141, 1142, 1154, 1156, 1160, 1175, 1179, 1181, 1185, 1191, 1195, 1198, 1214, 1217, 1218, 1219, 1221, 1223, 1230, 1234, 1236, 1237, 1238, 1276, 1281, 1282, 1284, 1285, 1288, 1301, 1302, 1308, 1313, 1315, 1318, 1338, 1341, 1342, 1343, 1345, 1347, 1348, 1349, 1350, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1368, 1369, 1370, 1385, 1386, 1387, 1388, 1395, 1402, 1403, 1406, 1407, 1411, 1413, 1415, 1422, 1423, 1425, 1426, 1434, 1436], "commun": [6, 66, 93, 94, 95, 100, 104, 106, 108, 110, 211, 332, 333, 348, 349, 360, 375, 376, 377, 378, 380, 381, 382, 383, 385, 386, 387, 388, 389, 391, 392, 396, 570, 574, 576, 595, 760, 788, 1171, 1175, 1176, 1177, 1205, 1208, 1275, 1286, 1293, 1294, 1298, 1302, 1331, 1408, 1409, 1411, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1434, 1436], "structur": [6, 10, 66, 89, 102, 103, 108, 110, 111, 113, 126, 129, 160, 166, 170, 191, 200, 201, 203, 205, 208, 221, 233, 242, 245, 250, 264, 275, 278, 314, 360, 376, 378, 380, 382, 383, 385, 387, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 440, 452, 456, 457, 568, 617, 621, 678, 689, 690, 691, 760, 765, 777, 788, 793, 798, 860, 864, 881, 889, 890, 892, 893, 894, 905, 909, 927, 928, 929, 930, 933, 941, 945, 949, 963, 971, 972, 974, 975, 976, 979, 987, 991, 995, 1010, 1011, 1012, 1013, 1015, 1016, 1021, 1040, 1041, 1042, 1043, 1094, 1100, 1105, 1161, 1181, 1241, 1261, 1275, 1278, 1293, 1294, 1298, 1302, 1329, 1331, 1347, 1348, 1350, 1351, 1354, 1356, 1389, 1390, 1391, 1402, 1413, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "lpc": 6, "label_propagation_commun": [6, 387, 1422, 1426], "community_index": 6, "com": [6, 26, 46, 94, 107, 111, 112, 250, 316, 317, 318, 323, 325, 326, 332, 357, 358, 411, 429, 430, 453, 478, 479, 480, 481, 620, 662, 669, 690, 695, 753, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263, 1268, 1402, 1415, 1422], "enumer": [6, 10, 22, 37, 39, 56, 58, 62, 65, 68, 102, 286, 455, 457, 467, 547, 620, 707, 763, 1141, 1329, 1404, 1411, 1431], "subplot": [6, 7, 10, 16, 26, 27, 28, 33, 39, 41, 44, 51, 56, 58, 62, 71, 84, 1141, 1332, 1436], "figsiz": [6, 8, 17, 26, 28, 35, 37, 39, 40, 51, 56, 58, 69, 71, 81, 82, 83, 85], "15": [6, 7, 9, 27, 45, 65, 67, 71, 83, 85, 111, 152, 227, 230, 231, 232, 348, 385, 386, 423, 692, 855, 900, 936, 982, 1041, 1064, 1069, 1085, 1216, 1265, 1277, 1436], "4572321": 6, "20000": [6, 69], "draw_networkx": [6, 8, 10, 16, 22, 45, 62, 71, 83, 98, 1136, 1137, 1138, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1416, 1421, 1422, 1436], "with_label": [6, 7, 10, 13, 16, 20, 25, 30, 31, 33, 35, 37, 41, 42, 45, 46, 67, 68, 71, 81, 82, 83, 85, 1139, 1387, 1388, 1402, 1415, 1436], "gainsboro": 6, "titl": [6, 7, 8, 10, 16, 17, 26, 41, 71, 100, 105, 107, 1136, 1139, 1420], "legend": [6, 26, 1139, 1141, 1143], "font": [6, 26, 1139, 1140, 1142, 1422], "fontweight": [6, 26, 71], "bold": [6, 26, 71, 72, 92, 1436], "fontsiz": [6, 26, 71], "set_titl": [6, 26, 28, 51, 56, 58, 62, 83, 84], "network": [6, 7, 11, 12, 14, 16, 20, 27, 31, 46, 47, 51, 53, 54, 56, 57, 66, 67, 71, 83, 87, 102, 104, 106, 108, 110, 113, 129, 133, 233, 237, 240, 241, 242, 245, 249, 258, 259, 260, 261, 262, 263, 264, 275, 276, 281, 285, 286, 287, 289, 290, 291, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 315, 316, 323, 324, 325, 326, 327, 328, 329, 331, 332, 333, 334, 335, 339, 344, 357, 358, 359, 360, 373, 374, 378, 379, 380, 381, 382, 383, 385, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 433, 434, 435, 436, 439, 440, 451, 487, 488, 489, 496, 497, 500, 501, 502, 504, 505, 508, 509, 510, 511, 512, 521, 522, 523, 569, 571, 572, 573, 576, 595, 621, 627, 672, 677, 682, 683, 684, 685, 686, 690, 693, 751, 753, 754, 760, 784, 1045, 1112, 1120, 1172, 1173, 1179, 1181, 1185, 1188, 1189, 1190, 1193, 1207, 1208, 1228, 1229, 1231, 1233, 1235, 1236, 1239, 1240, 1247, 1261, 1271, 1272, 1274, 1275, 1286, 1288, 1293, 1294, 1298, 1331, 1332, 1334, 1347, 1348, 1350, 1379, 1381, 1382, 1387, 1389, 1390, 1392, 1397, 1404, 1411, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "elegan": 6, "chang": [6, 26, 94, 96, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 112, 145, 153, 157, 158, 159, 166, 196, 200, 203, 205, 231, 232, 300, 312, 375, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 466, 467, 468, 498, 504, 505, 508, 509, 510, 585, 587, 589, 599, 603, 606, 635, 654, 678, 753, 782, 798, 856, 857, 858, 859, 864, 886, 889, 892, 893, 901, 902, 903, 904, 909, 925, 927, 928, 929, 937, 938, 939, 940, 945, 968, 971, 974, 975, 983, 984, 985, 986, 991, 1008, 1010, 1011, 1012, 1040, 1041, 1042, 1043, 1045, 1064, 1066, 1069, 1085, 1120, 1141, 1223, 1301, 1332, 1365, 1366, 1407, 1408, 1412, 1413, 1414, 1424, 1426, 1429, 1431, 1432, 1436], "text": [6, 26, 69, 71, 94, 96, 100, 111, 620, 621, 1045, 1127, 1128, 1129, 1139, 1140, 1142, 1152, 1331, 1332, 1340, 1347, 1350, 1361, 1364, 1378, 1387, 1388, 1392, 1395, 1398, 1415, 1436], "80": [6, 26, 40, 454, 455, 516, 520, 1228, 1257, 1262], "horizontalalign": [6, 26, 71, 1140, 1142], "center": [6, 20, 25, 26, 40, 44, 71, 85, 92, 472, 476, 608, 754, 760, 1045, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1140, 1142, 1166, 1169, 1195, 1246, 1404, 1405, 1413, 1414, 1415, 1434], "transform": [6, 26, 27, 35, 333, 492, 661, 673, 674, 675, 676, 1275, 1302], "transax": [6, 26], "fontdict": [6, 26], "06": [6, 26, 100, 101, 312, 314, 325, 348, 349, 568], "size": [6, 7, 11, 13, 26, 27, 28, 29, 35, 69, 84, 113, 153, 157, 158, 159, 186, 196, 211, 212, 213, 218, 219, 222, 227, 249, 258, 259, 289, 300, 332, 333, 342, 347, 348, 350, 355, 368, 372, 378, 382, 429, 430, 443, 444, 445, 446, 447, 448, 449, 513, 514, 548, 549, 550, 576, 672, 690, 694, 856, 857, 858, 859, 876, 886, 901, 902, 903, 904, 919, 925, 937, 938, 939, 940, 958, 968, 983, 984, 985, 986, 1002, 1008, 1044, 1103, 1115, 1116, 1120, 1127, 1129, 1139, 1140, 1141, 1142, 1143, 1152, 1156, 1157, 1168, 1171, 1172, 1173, 1174, 1176, 1177, 1178, 1179, 1180, 1183, 1194, 1205, 1210, 1213, 1218, 1221, 1228, 1240, 1332, 1350, 1404, 1417, 1421, 1422, 1423], "resiz": [6, 26], "readabl": [6, 26, 95, 108, 110, 170, 173, 462, 870, 915, 951, 997, 1402, 1423, 1434], "margin": [6, 22, 26, 33, 34, 46, 47, 83, 95, 1141, 1143, 1420, 1422], "05": [6, 26, 40, 53, 86, 297, 302, 303, 304, 309, 310, 324, 348, 349, 558, 559, 560, 1179, 1192], "axi": [6, 7, 8, 17, 22, 26, 27, 34, 36, 37, 40, 47, 51, 55, 56, 58, 59, 82, 1115, 1136, 1139, 1140, 1142, 1143, 1218], "453": [6, 18], "plot_betweenness_centr": [6, 18], "block": [7, 107, 379, 388, 445, 456, 588, 590, 760, 1048, 1179, 1291, 1302, 1306, 1418, 1420], "model": [7, 31, 53, 57, 63, 65, 67, 101, 106, 111, 133, 273, 275, 285, 302, 303, 309, 310, 381, 437, 438, 456, 464, 595, 627, 788, 1171, 1175, 1179, 1181, 1183, 1185, 1191, 1193, 1194, 1199, 1202, 1203, 1204, 1205, 1208, 1210, 1211, 1228, 1230, 1232, 1233, 1234, 1235, 1237, 1238, 1239, 1240, 1273, 1288, 1293, 1294, 1390, 1404, 1407, 1415, 1417, 1418, 1419, 1420, 1422], "quotient_graph": [7, 586, 587, 589, 760, 1179, 1417, 1422, 1431], "hartford": 7, "ct": 7, "drug": 7, "user": [7, 25, 93, 94, 95, 96, 98, 100, 102, 103, 104, 105, 106, 108, 110, 112, 116, 134, 180, 242, 286, 385, 621, 693, 798, 1040, 1042, 1043, 1046, 1101, 1102, 1160, 1302, 1326, 1327, 1332, 1334, 1337, 1340, 1350, 1357, 1358, 1359, 1360, 1365, 1367, 1368, 1369, 1383, 1384, 1385, 1386, 1403, 1404, 1408, 1414, 1417, 1422, 1423, 1434], "articl": [7, 94, 122, 250, 331, 359, 411, 425, 427, 453, 590, 620, 708, 709, 710, 712, 713, 714, 715, 716, 717, 784, 1220, 1422], "weeks2002soci": 7, "social": [7, 9, 12, 66, 71, 95, 111, 221, 258, 259, 260, 261, 262, 263, 287, 289, 290, 298, 299, 300, 302, 303, 304, 306, 307, 308, 309, 310, 316, 323, 324, 331, 381, 429, 439, 569, 572, 573, 595, 690, 788, 1179, 1261, 1271, 1272, 1275, 1331], "high": [7, 55, 58, 59, 105, 297, 306, 430, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 692, 693, 788, 1044, 1186, 1229, 1233, 1248, 1414], "risk": 7, "site": [7, 26, 85, 316, 332, 1402, 1415], "url": [7, 27, 66, 94, 100, 103, 105, 793, 1351, 1354, 1355, 1356, 1421, 1422, 1425, 1430], "doi": [7, 53, 56, 94, 111, 113, 129, 211, 212, 214, 221, 227, 232, 258, 259, 260, 275, 279, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 314, 315, 316, 317, 323, 324, 328, 329, 331, 339, 340, 347, 348, 349, 364, 378, 382, 387, 389, 391, 392, 396, 429, 430, 433, 436, 440, 443, 447, 448, 454, 455, 457, 487, 488, 489, 496, 500, 516, 521, 547, 566, 570, 571, 574, 576, 579, 608, 616, 618, 672, 677, 684, 686, 695, 731, 733, 754, 762, 763, 1187, 1194, 1222, 1239, 1241, 1245, 1261, 1326, 1327, 1422], "1023": 7, "1015457400897": 7, "author": [7, 92, 95, 100, 101, 102, 103, 104, 105, 216, 459, 566, 571, 765, 1171, 1398], "week": [7, 101, 106, 1425], "margaret": 7, "clair": 7, "scott": [7, 92, 109, 258, 259, 260, 287, 289, 437, 438, 1416, 1419], "borgatti": [7, 258, 259, 260, 287, 289, 316, 317, 318, 332, 690], "stephen": [7, 338, 344], "p": [7, 11, 14, 20, 40, 64, 65, 68, 69, 77, 84, 92, 103, 224, 231, 232, 242, 245, 258, 259, 260, 275, 276, 287, 289, 301, 316, 317, 318, 325, 326, 332, 354, 357, 358, 443, 447, 448, 455, 459, 464, 472, 476, 498, 510, 547, 557, 569, 570, 571, 572, 573, 574, 575, 576, 579, 607, 609, 612, 613, 618, 620, 621, 634, 637, 638, 721, 722, 735, 763, 764, 1123, 1130, 1132, 1134, 1175, 1176, 1177, 1179, 1188, 1189, 1190, 1193, 1194, 1196, 1198, 1200, 1201, 1202, 1203, 1204, 1205, 1209, 1211, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1247, 1289, 1290, 1293, 1325, 1404, 1415, 1418, 1419, 1422, 1429, 1436], "radda": 7, "kim": [7, 328, 683, 685, 1187, 1240, 1245, 1419, 1421], "schensul": 7, "jean": [7, 92, 275, 343, 673, 674, 675, 676, 1418, 1420], "j": [7, 16, 26, 27, 45, 53, 66, 68, 72, 100, 107, 111, 113, 129, 133, 221, 237, 240, 241, 242, 245, 249, 258, 259, 260, 275, 283, 285, 287, 289, 291, 298, 299, 301, 302, 303, 307, 308, 309, 310, 312, 313, 314, 317, 325, 326, 328, 334, 338, 339, 340, 345, 347, 348, 349, 357, 358, 359, 360, 364, 373, 382, 383, 385, 387, 389, 391, 392, 396, 429, 436, 440, 453, 455, 459, 464, 481, 483, 484, 490, 492, 502, 515, 516, 517, 519, 520, 521, 569, 572, 573, 575, 593, 594, 620, 621, 627, 631, 672, 677, 678, 686, 692, 693, 695, 721, 722, 735, 762, 772, 793, 1101, 1102, 1104, 1105, 1106, 1108, 1149, 1150, 1172, 1173, 1181, 1183, 1184, 1186, 1192, 1201, 1205, 1209, 1210, 1211, 1223, 1228, 1231, 1239, 1240, 1247, 1257, 1287, 1293, 1294, 1298, 1326, 1327, 1355, 1393, 1420], "journal": [7, 67, 218, 250, 279, 298, 299, 307, 308, 312, 313, 315, 316, 317, 318, 328, 329, 331, 332, 379, 407, 408, 425, 427, 429, 454, 455, 513, 514, 547, 566, 579, 620, 686, 689, 691, 722, 731, 733, 740, 763, 1186, 1194, 1208, 1215, 1241, 1273, 1277, 1292, 1329], "aid": [7, 72, 754, 1302, 1408], "behavior": [7, 96, 102, 104, 328, 487, 488, 489, 577, 700, 701, 1117, 1235, 1334, 1402, 1411, 1416, 1421, 1422, 1423, 1425, 1429, 1432, 1434, 1436], "volum": [7, 111, 348, 349, 359, 388, 414, 433, 444, 449, 457, 490, 492, 500, 521, 618, 655, 760, 1170, 1175, 1176, 1177, 1187, 1196, 1232, 1272, 1292, 1329], "6": [7, 8, 9, 10, 11, 12, 13, 15, 20, 22, 33, 34, 35, 36, 39, 42, 44, 45, 47, 50, 51, 56, 63, 64, 65, 66, 67, 69, 78, 81, 83, 84, 90, 94, 102, 103, 116, 126, 129, 199, 233, 251, 301, 304, 312, 313, 314, 324, 325, 333, 334, 335, 339, 341, 342, 344, 345, 348, 349, 358, 362, 373, 374, 376, 378, 382, 385, 387, 393, 402, 404, 405, 412, 413, 414, 416, 418, 419, 420, 421, 425, 426, 427, 428, 429, 430, 440, 457, 464, 481, 498, 503, 506, 507, 510, 513, 514, 515, 519, 520, 521, 557, 582, 583, 588, 590, 602, 610, 620, 621, 632, 673, 676, 682, 692, 697, 707, 708, 709, 710, 711, 730, 732, 749, 750, 752, 753, 754, 763, 777, 888, 926, 970, 1009, 1039, 1041, 1045, 1073, 1091, 1103, 1154, 1184, 1185, 1186, 1200, 1205, 1212, 1218, 1230, 1234, 1238, 1248, 1250, 1256, 1258, 1261, 1263, 1267, 1268, 1277, 1279, 1293, 1302, 1329, 1337, 1341, 1369, 1370, 1375, 1376, 1388, 1404, 1411, 1412, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1432, 1436], "page": [7, 101, 106, 107, 250, 348, 349, 385, 387, 457, 568, 693, 1161, 1170, 1177, 1272, 1326, 1327, 1329, 1332, 1390, 1422, 1436], "193": [7, 1416], "206": 7, "year": [7, 108, 1403, 1414, 1416, 1421, 1422, 1423, 1434], "2002": [7, 66, 111, 129, 411, 678, 683, 685, 762, 1185, 1240, 1416], "publish": [7, 94, 98, 106, 107, 133, 298, 348, 349, 695, 734, 762, 1423], "springer": [7, 111, 210, 212, 213, 218, 220, 297, 302, 303, 304, 309, 310, 324, 325, 326, 414, 433, 453, 481, 522, 523, 610, 753, 1046, 1209, 1325, 1326, 1327], "collect": [7, 9, 17, 26, 29, 92, 95, 98, 100, 106, 145, 152, 193, 208, 233, 443, 444, 445, 446, 447, 448, 449, 450, 451, 462, 467, 547, 580, 754, 798, 855, 883, 894, 900, 922, 930, 936, 965, 976, 982, 1005, 1013, 1040, 1042, 1043, 1048, 1049, 1141, 1143, 1212, 1231, 1247, 1309, 1332, 1422, 1426, 1436], "defaultdict": [7, 462], "scipi": [7, 55, 93, 94, 108, 110, 112, 245, 281, 283, 284, 313, 617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1100, 1104, 1108, 1114, 1118, 1199, 1200, 1202, 1203, 1204, 1241, 1285, 1286, 1287, 1288, 1291, 1292, 1331, 1395, 1407, 1411, 1415, 1416, 1421, 1422, 1423, 1425, 1429, 1434], "cluster": [7, 64, 214, 261, 263, 264, 357, 360, 364, 384, 576, 684, 686, 760, 784, 788, 1118, 1174, 1228, 1240, 1286, 1296, 1331, 1332, 1403, 1407, 1408, 1415, 1418, 1422, 1428, 1436], "hierarchi": [7, 315, 329, 521, 627, 760, 1331, 1409, 1415], "spatial": [7, 53, 54, 55, 56, 57, 87, 116, 1200], "distanc": [7, 35, 39, 45, 58, 226, 227, 228, 229, 230, 231, 232, 259, 264, 298, 299, 300, 307, 308, 316, 317, 321, 323, 328, 331, 332, 337, 467, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 487, 488, 489, 510, 514, 571, 610, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 683, 688, 707, 711, 753, 754, 755, 760, 782, 1111, 1120, 1151, 1191, 1195, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1252, 1264, 1329, 1331, 1407, 1415, 1416, 1417, 1420, 1425, 1426, 1429, 1430, 1434], "create_hc": 7, "hierarch": [7, 221, 429, 444, 449, 450, 1159, 1390, 1391], "matrix": [7, 9, 15, 44, 56, 237, 238, 239, 242, 243, 244, 246, 281, 283, 284, 297, 301, 302, 303, 304, 309, 310, 312, 313, 314, 324, 325, 326, 327, 334, 335, 373, 374, 387, 478, 521, 567, 568, 595, 631, 678, 683, 760, 777, 798, 1040, 1042, 1101, 1102, 1104, 1105, 1106, 1108, 1179, 1197, 1216, 1223, 1226, 1275, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1326, 1327, 1331, 1392, 1404, 1406, 1408, 1409, 1410, 1414, 1415, 1416, 1420, 1421, 1422, 1423, 1434], "path_length": [7, 672, 677], "all_pairs_shortest_path_length": [7, 630, 632, 638, 661], "zero": [7, 290, 294, 295, 298, 299, 301, 307, 308, 312, 316, 317, 331, 332, 359, 426, 462, 478, 493, 494, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 524, 525, 526, 567, 568, 569, 576, 588, 617, 634, 635, 681, 731, 761, 1071, 1103, 1105, 1106, 1110, 1151, 1160, 1194, 1242, 1246, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1288, 1289, 1290, 1415, 1416, 1421, 1422, 1426], "item": [7, 16, 17, 26, 27, 68, 71, 89, 102, 108, 157, 160, 185, 191, 200, 201, 208, 246, 312, 325, 326, 327, 333, 359, 376, 424, 462, 483, 484, 654, 658, 660, 690, 751, 798, 857, 860, 875, 881, 889, 890, 894, 902, 905, 918, 927, 930, 938, 941, 957, 963, 971, 972, 976, 984, 987, 1001, 1010, 1013, 1031, 1040, 1041, 1042, 1043, 1097, 1103, 1123, 1132, 1142, 1302, 1308, 1309, 1323, 1324, 1332, 1413, 1415, 1420, 1428, 1436], "squareform": 7, "complet": [7, 39, 84, 93, 97, 98, 100, 103, 104, 112, 113, 115, 116, 122, 203, 205, 212, 226, 227, 228, 229, 230, 231, 232, 233, 259, 271, 273, 286, 300, 306, 323, 343, 347, 348, 349, 375, 382, 393, 429, 532, 542, 590, 610, 679, 680, 713, 755, 764, 777, 791, 892, 893, 928, 929, 974, 975, 1011, 1012, 1045, 1046, 1063, 1098, 1112, 1151, 1152, 1154, 1156, 1157, 1163, 1168, 1178, 1213, 1216, 1267, 1326, 1327, 1329, 1402, 1404, 1411, 1415, 1416, 1420, 1421, 1423, 1425, 1434], "hc": 7, "farthest": [7, 218, 467], "linkag": 7, "partit": [7, 17, 116, 209, 223, 224, 270, 271, 272, 274, 275, 276, 277, 377, 379, 382, 383, 384, 385, 387, 388, 393, 431, 444, 445, 449, 450, 496, 502, 508, 588, 590, 721, 725, 726, 727, 728, 735, 754, 760, 1168, 1174, 1175, 1176, 1179, 1214, 1282, 1302, 1411, 1416, 1417, 1422, 1431], "arbitrari": [7, 46, 113, 116, 142, 205, 239, 244, 283, 286, 341, 348, 349, 359, 387, 412, 416, 425, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 561, 562, 617, 620, 621, 627, 754, 798, 852, 893, 897, 933, 975, 979, 1040, 1042, 1043, 1179, 1183, 1199, 1202, 1203, 1204, 1309, 1329, 1330, 1332, 1334, 1336, 1390, 1402, 1404, 1408, 1415, 1416], "illustr": [7, 33, 56, 75, 77, 84, 95, 104, 105, 760, 1261, 1411], "purpos": [7, 68, 87, 97, 99, 101, 105, 111, 311, 466, 788, 1402, 1414], "membership": [7, 101, 181, 284, 873, 916, 954, 998, 1332, 1416], "fcluster": 7, "zip": [7, 14, 39, 41, 55, 58, 59, 66, 71, 84, 87, 90, 102, 153, 502, 762, 856, 901, 937, 983, 1199, 1205, 1301, 1309], "append": [7, 10, 16, 20, 69, 70, 514, 1088, 1089, 1183, 1222, 1278, 1351], "hartford_drug": 7, "edgelist": [7, 21, 36, 41, 42, 45, 47, 85, 103, 267, 268, 269, 736, 738, 760, 1096, 1139, 1141, 1288, 1336, 1342, 1343, 1344, 1345, 1346, 1415, 1420, 1421, 1422, 1423, 1436], "next": [7, 8, 11, 68, 70, 93, 94, 100, 102, 103, 104, 107, 126, 154, 155, 228, 230, 231, 232, 234, 376, 617, 798, 949, 995, 1040, 1042, 1043, 1178, 1246, 1278, 1302, 1309, 1332, 1396, 1411], "life": 7, "easier": [7, 110, 740, 762, 1332, 1334, 1414], "consecut": [7, 231, 232, 389, 391, 392, 396, 597, 675, 676, 1074, 1300], "integ": [7, 11, 104, 143, 144, 167, 209, 211, 214, 215, 216, 217, 218, 223, 224, 228, 231, 232, 239, 244, 271, 272, 273, 275, 276, 284, 286, 297, 298, 307, 312, 313, 325, 339, 354, 370, 375, 379, 380, 382, 383, 384, 393, 404, 405, 406, 412, 413, 414, 415, 420, 421, 422, 423, 424, 427, 428, 430, 431, 440, 462, 464, 466, 473, 474, 475, 476, 477, 479, 480, 481, 496, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 516, 517, 518, 519, 520, 522, 523, 566, 568, 583, 585, 588, 590, 591, 597, 599, 606, 610, 618, 627, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 672, 678, 679, 680, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 731, 740, 741, 749, 798, 865, 910, 936, 946, 948, 962, 982, 992, 994, 1040, 1042, 1043, 1044, 1084, 1101, 1102, 1103, 1104, 1107, 1151, 1154, 1155, 1156, 1157, 1158, 1160, 1162, 1163, 1165, 1166, 1169, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1197, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1217, 1220, 1225, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1257, 1275, 1277, 1278, 1279, 1281, 1282, 1283, 1300, 1301, 1305, 1307, 1325, 1329, 1332, 1334, 1339, 1355, 1377, 1395, 1403, 1408, 1415, 1416, 1418, 1420, 1436], "build": [7, 11, 15, 46, 53, 55, 56, 58, 59, 70, 89, 93, 94, 100, 103, 107, 108, 111, 116, 142, 144, 233, 236, 238, 239, 244, 268, 288, 382, 413, 414, 418, 419, 420, 421, 425, 454, 478, 497, 654, 672, 693, 734, 1041, 1069, 1103, 1192, 1202, 1203, 1204, 1275, 1301, 1302, 1332, 1403, 1405, 1415, 1416, 1420, 1421, 1422, 1426], "bm": 7, "relabel": [7, 462, 511, 590, 599, 602, 606, 611, 730, 731, 733, 741, 1123, 1132, 1179, 1300, 1301, 1331, 1348, 1349, 1407, 1415, 1422, 1423, 1431, 1434], "origin": [7, 10, 16, 42, 50, 56, 68, 89, 92, 93, 94, 95, 100, 102, 104, 106, 107, 113, 143, 166, 168, 169, 190, 197, 200, 205, 209, 233, 278, 285, 286, 287, 289, 298, 300, 304, 323, 324, 328, 375, 376, 382, 393, 413, 414, 420, 421, 433, 439, 452, 459, 462, 500, 502, 568, 585, 586, 587, 589, 590, 659, 683, 692, 719, 720, 725, 726, 727, 728, 740, 741, 788, 864, 866, 867, 880, 887, 889, 893, 909, 911, 927, 929, 945, 947, 969, 971, 975, 991, 993, 1010, 1041, 1064, 1069, 1085, 1097, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1171, 1193, 1199, 1221, 1223, 1269, 1276, 1278, 1301, 1302, 1353, 1387, 1402, 1404, 1405, 1413, 1414, 1420, 1422, 1423], "83": [7, 338], "211": 7, "weight": [7, 9, 24, 35, 45, 48, 53, 55, 56, 57, 58, 59, 87, 89, 90, 113, 116, 126, 128, 142, 143, 152, 153, 157, 158, 159, 167, 169, 171, 172, 176, 185, 189, 190, 193, 199, 208, 209, 218, 220, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 236, 240, 241, 242, 243, 244, 245, 248, 253, 266, 267, 268, 269, 281, 283, 284, 285, 286, 287, 289, 291, 296, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 312, 313, 315, 316, 317, 321, 324, 325, 326, 327, 328, 329, 331, 332, 333, 334, 335, 336, 337, 338, 354, 357, 358, 375, 376, 379, 380, 382, 383, 384, 385, 386, 387, 418, 424, 431, 444, 445, 446, 447, 449, 450, 453, 460, 461, 472, 473, 474, 475, 476, 477, 478, 487, 488, 489, 498, 499, 502, 503, 506, 507, 510, 521, 554, 555, 556, 557, 558, 559, 560, 567, 568, 583, 585, 595, 600, 626, 627, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 688, 689, 690, 691, 721, 722, 723, 724, 725, 726, 727, 728, 734, 735, 736, 737, 738, 739, 740, 753, 754, 755, 781, 798, 855, 856, 857, 858, 859, 865, 867, 868, 869, 871, 875, 879, 880, 883, 888, 894, 900, 901, 902, 903, 904, 910, 912, 913, 914, 917, 918, 922, 926, 930, 936, 937, 938, 939, 940, 946, 948, 949, 952, 957, 961, 962, 970, 976, 982, 983, 984, 985, 986, 987, 992, 994, 995, 999, 1001, 1009, 1013, 1040, 1041, 1042, 1043, 1055, 1056, 1057, 1061, 1073, 1075, 1084, 1088, 1094, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1111, 1118, 1120, 1121, 1139, 1140, 1142, 1179, 1191, 1195, 1199, 1204, 1273, 1276, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1323, 1324, 1329, 1332, 1336, 1341, 1342, 1343, 1344, 1345, 1346, 1364, 1376, 1391, 1402, 1404, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1434, 1436], "intern": [7, 44, 102, 104, 218, 297, 298, 302, 303, 304, 309, 310, 316, 323, 324, 332, 348, 349, 377, 381, 414, 428, 433, 440, 570, 574, 595, 621, 672, 673, 674, 675, 676, 677, 678, 692, 734, 1044, 1151, 1302, 1332, 1365, 1366, 1369, 1370, 1371, 1372, 1402, 1403, 1415, 1421, 1422, 1423, 1430, 1434], "nnode": [7, 39, 187, 188, 590, 854, 877, 878, 899, 920, 921, 935, 959, 960, 981, 1003, 1004], "edge_width": [7, 1045], "mean": [7, 8, 55, 58, 96, 100, 101, 102, 103, 104, 108, 110, 133, 165, 211, 214, 292, 357, 380, 452, 453, 491, 498, 506, 507, 510, 514, 522, 523, 524, 525, 526, 563, 564, 565, 588, 621, 684, 693, 705, 706, 719, 732, 755, 764, 788, 1039, 1088, 1089, 1091, 1115, 1120, 1146, 1156, 1174, 1181, 1191, 1202, 1203, 1204, 1221, 1241, 1301, 1313, 1315, 1318, 1332, 1342, 1402, 1414, 1421, 1423, 1436], "posbm": 7, "xy": [7, 246], "212": 7, "369": [7, 18, 1261], "plot_blockmodel": [7, 18], "convert": [8, 35, 51, 53, 55, 56, 57, 58, 59, 75, 76, 100, 103, 106, 113, 170, 267, 268, 294, 377, 466, 567, 568, 617, 678, 681, 852, 897, 933, 936, 979, 982, 1041, 1088, 1100, 1101, 1102, 1172, 1173, 1279, 1287, 1302, 1303, 1305, 1307, 1312, 1316, 1331, 1338, 1339, 1342, 1343, 1344, 1348, 1351, 1352, 1353, 1354, 1355, 1356, 1359, 1362, 1363, 1367, 1368, 1369, 1370, 1376, 1377, 1382, 1385, 1412, 1413, 1415, 1418, 1420, 1421, 1422, 1425, 1430, 1436], "formula": [8, 300, 317, 323, 327, 382, 387, 620, 690, 1430], "can": [8, 16, 25, 35, 39, 41, 44, 53, 55, 56, 57, 58, 59, 68, 70, 71, 72, 76, 77, 85, 89, 92, 93, 94, 95, 96, 97, 100, 101, 102, 103, 104, 106, 108, 111, 112, 113, 116, 126, 133, 142, 143, 144, 145, 152, 153, 157, 158, 159, 166, 169, 172, 177, 181, 185, 186, 190, 191, 194, 200, 201, 208, 221, 223, 225, 228, 230, 231, 232, 239, 240, 241, 244, 252, 261, 262, 263, 265, 279, 282, 283, 298, 299, 302, 303, 306, 307, 308, 309, 310, 316, 317, 325, 326, 327, 331, 332, 334, 335, 339, 341, 342, 344, 346, 347, 348, 349, 350, 351, 355, 356, 359, 360, 363, 364, 376, 378, 382, 384, 385, 387, 389, 390, 391, 392, 396, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 429, 441, 442, 451, 456, 458, 460, 462, 463, 466, 467, 468, 473, 474, 475, 476, 477, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 532, 542, 555, 577, 579, 583, 588, 590, 599, 600, 603, 604, 606, 617, 618, 619, 621, 628, 630, 631, 632, 635, 643, 645, 649, 654, 655, 656, 657, 659, 660, 662, 663, 664, 669, 670, 671, 678, 679, 680, 681, 682, 689, 690, 691, 692, 693, 722, 724, 725, 726, 727, 728, 731, 732, 733, 750, 751, 753, 764, 769, 772, 777, 788, 793, 798, 852, 855, 856, 857, 858, 859, 864, 867, 869, 872, 873, 875, 876, 880, 881, 884, 889, 890, 894, 897, 900, 901, 902, 903, 904, 909, 912, 914, 916, 918, 919, 923, 927, 930, 933, 936, 937, 938, 939, 940, 945, 948, 949, 950, 953, 954, 957, 958, 962, 966, 971, 976, 979, 982, 983, 984, 985, 986, 991, 994, 995, 996, 998, 1001, 1002, 1006, 1010, 1013, 1039, 1040, 1041, 1042, 1043, 1045, 1048, 1050, 1062, 1063, 1064, 1066, 1069, 1071, 1085, 1088, 1091, 1105, 1106, 1108, 1127, 1128, 1129, 1135, 1139, 1141, 1143, 1154, 1157, 1160, 1170, 1171, 1172, 1173, 1180, 1181, 1183, 1199, 1202, 1203, 1204, 1212, 1213, 1223, 1224, 1225, 1228, 1241, 1252, 1254, 1256, 1264, 1269, 1270, 1275, 1278, 1281, 1282, 1284, 1285, 1287, 1288, 1289, 1290, 1301, 1302, 1303, 1305, 1307, 1308, 1309, 1326, 1327, 1329, 1330, 1332, 1334, 1335, 1336, 1339, 1340, 1353, 1355, 1358, 1360, 1362, 1363, 1368, 1369, 1377, 1378, 1384, 1386, 1387, 1388, 1390, 1393, 1395, 1396, 1401, 1402, 1403, 1404, 1405, 1408, 1411, 1413, 1414, 1415, 1417, 1418, 1421, 1434, 1436], "more": [8, 44, 54, 68, 87, 93, 94, 95, 98, 100, 101, 102, 103, 104, 106, 108, 110, 111, 112, 115, 116, 122, 128, 129, 144, 166, 173, 199, 200, 203, 205, 216, 217, 219, 220, 221, 222, 231, 232, 236, 257, 268, 278, 279, 282, 290, 300, 311, 315, 325, 326, 337, 340, 363, 380, 385, 387, 389, 391, 392, 394, 401, 407, 408, 409, 424, 429, 430, 434, 435, 439, 462, 466, 482, 522, 523, 561, 562, 583, 584, 585, 592, 595, 616, 621, 628, 633, 637, 655, 658, 662, 663, 664, 678, 681, 685, 693, 700, 701, 705, 713, 719, 720, 737, 739, 750, 762, 784, 788, 798, 864, 870, 888, 889, 892, 893, 909, 915, 926, 927, 928, 929, 945, 951, 970, 971, 974, 975, 991, 997, 1009, 1010, 1011, 1012, 1040, 1042, 1043, 1045, 1046, 1074, 1097, 1103, 1119, 1122, 1123, 1126, 1136, 1137, 1138, 1139, 1141, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1191, 1198, 1199, 1212, 1220, 1223, 1224, 1225, 1278, 1293, 1294, 1301, 1302, 1303, 1329, 1332, 1334, 1343, 1351, 1354, 1355, 1356, 1387, 1398, 1403, 1404, 1406, 1407, 1408, 1410, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "express": [8, 93, 111, 185, 316, 331, 332, 385, 386, 620, 621, 875, 918, 957, 1001, 1205, 1293, 1332], "than": [8, 11, 35, 44, 56, 98, 100, 102, 103, 104, 116, 129, 143, 144, 145, 162, 200, 215, 216, 217, 219, 220, 222, 228, 232, 236, 242, 257, 278, 279, 282, 289, 290, 298, 299, 300, 305, 307, 308, 311, 312, 316, 317, 322, 325, 326, 328, 330, 331, 332, 343, 354, 360, 363, 376, 382, 383, 385, 386, 387, 389, 391, 392, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 427, 428, 431, 437, 466, 470, 471, 502, 529, 539, 561, 562, 583, 584, 585, 592, 627, 628, 637, 638, 654, 655, 658, 660, 661, 675, 678, 680, 681, 683, 685, 688, 692, 694, 695, 696, 700, 701, 713, 733, 737, 739, 750, 754, 763, 788, 889, 927, 949, 971, 995, 1010, 1041, 1045, 1046, 1063, 1105, 1141, 1152, 1160, 1168, 1171, 1173, 1178, 1180, 1191, 1193, 1200, 1204, 1232, 1236, 1237, 1242, 1243, 1244, 1245, 1281, 1282, 1302, 1303, 1332, 1334, 1351, 1354, 1355, 1356, 1359, 1360, 1364, 1371, 1372, 1385, 1390, 1404, 1411, 1413, 1414, 1417, 1422, 1432, 1434], "worst": [8, 211, 212, 213, 222, 229, 236, 265, 294, 295, 340, 347, 348, 349, 442, 515, 517, 518, 519, 520], "reus": [8, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1334, 1411], "subcircuit": 8, "multipl": [8, 11, 26, 41, 46, 78, 94, 95, 100, 104, 108, 110, 144, 158, 159, 167, 176, 189, 196, 208, 288, 312, 359, 387, 388, 425, 445, 449, 460, 462, 466, 487, 488, 489, 596, 597, 599, 617, 618, 643, 645, 680, 692, 693, 699, 707, 740, 764, 788, 798, 858, 859, 865, 871, 879, 886, 894, 903, 904, 910, 925, 930, 939, 940, 946, 948, 952, 961, 962, 965, 966, 968, 976, 985, 986, 992, 994, 1005, 1006, 1008, 1013, 1040, 1042, 1043, 1048, 1049, 1105, 1106, 1108, 1127, 1129, 1133, 1141, 1143, 1222, 1223, 1225, 1291, 1297, 1302, 1304, 1332, 1358, 1384, 1402, 1414, 1415, 1421, 1422, 1426, 1434, 1436], "wherea": [8, 104, 684, 764, 788, 793, 1171, 1426], "cannot": [8, 102, 104, 128, 133, 200, 233, 301, 364, 396, 478, 583, 584, 585, 586, 634, 724, 889, 927, 936, 971, 982, 1010, 1046, 1171, 1214, 1215, 1302, 1304, 1308, 1309, 1332, 1351, 1353, 1354, 1355, 1356], "subformula": 8, "onc": [8, 39, 55, 56, 89, 94, 95, 100, 101, 113, 128, 200, 228, 231, 232, 233, 247, 248, 362, 376, 382, 390, 424, 425, 430, 490, 493, 494, 583, 584, 585, 654, 680, 681, 719, 720, 889, 927, 971, 1010, 1049, 1069, 1090, 1223, 1317, 1332, 1387, 1412, 1416], "thu": [8, 89, 102, 104, 116, 216, 217, 221, 257, 259, 333, 420, 421, 429, 430, 464, 479, 502, 514, 585, 681, 700, 701, 762, 764, 798, 1040, 1042, 1043, 1046, 1090, 1115, 1154, 1221, 1223, 1240, 1284, 1285, 1302, 1334, 1411, 1414, 1416, 1434], "wai": [8, 28, 53, 54, 56, 76, 87, 89, 94, 98, 100, 101, 102, 103, 104, 105, 106, 108, 111, 113, 116, 133, 153, 158, 159, 166, 185, 227, 282, 298, 299, 316, 332, 339, 358, 590, 600, 617, 620, 680, 693, 732, 762, 793, 798, 856, 858, 859, 864, 875, 901, 903, 904, 909, 917, 918, 937, 939, 940, 945, 957, 983, 985, 986, 991, 999, 1001, 1040, 1042, 1043, 1044, 1100, 1171, 1219, 1221, 1223, 1245, 1268, 1275, 1278, 1332, 1334, 1336, 1387, 1402, 1403, 1413, 1415, 1420, 1436], "infeas": [8, 424], "circuit_to_formula": 8, "dag_to_branch": [8, 760, 1417], "transfer": [8, 203, 205, 231, 232, 471, 892, 893, 928, 929, 974, 975, 1011, 1012, 1429], "oper": [8, 31, 53, 96, 102, 113, 116, 169, 185, 190, 228, 376, 425, 462, 548, 549, 550, 554, 555, 556, 579, 597, 600, 603, 673, 674, 675, 676, 681, 682, 760, 788, 867, 875, 880, 912, 918, 948, 957, 962, 994, 1001, 1039, 1071, 1091, 1106, 1170, 1224, 1225, 1301, 1308, 1325, 1329, 1331, 1332, 1402, 1403, 1409, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426], "variabl": [8, 95, 133, 375, 532, 542, 620, 621, 734, 798, 1040, 1041, 1042, 1043, 1045, 1127, 1129, 1160, 1171, 1332, 1417, 1421, 1422, 1423, 1429], "formula_to_str": 8, "_to_str": 8, "root": [8, 68, 85, 294, 295, 340, 389, 391, 392, 396, 451, 462, 561, 579, 611, 673, 675, 680, 706, 730, 732, 741, 762, 793, 1122, 1123, 1131, 1132, 1151, 1153, 1241, 1277, 1278, 1329, 1371, 1372, 1402, 1415, 1416, 1417, 1421, 1422, 1432, 1434], "children": [8, 462, 579, 1151, 1161, 1278, 1371, 1372, 1387], "otherwis": [8, 93, 111, 147, 150, 172, 179, 185, 186, 199, 218, 231, 250, 251, 285, 298, 299, 304, 307, 308, 312, 316, 317, 323, 324, 325, 326, 327, 328, 331, 332, 345, 355, 360, 395, 396, 397, 398, 399, 400, 412, 413, 414, 420, 421, 424, 427, 428, 464, 465, 466, 472, 481, 490, 492, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 523, 557, 564, 565, 570, 574, 576, 586, 588, 590, 599, 603, 618, 620, 621, 635, 665, 675, 689, 690, 691, 698, 700, 701, 736, 737, 738, 739, 753, 850, 869, 875, 876, 888, 895, 914, 918, 919, 926, 931, 936, 950, 957, 958, 970, 977, 982, 996, 1001, 1002, 1009, 1071, 1094, 1127, 1141, 1143, 1171, 1191, 1203, 1223, 1276, 1288, 1289, 1290, 1313, 1315, 1318, 1348, 1362, 1363, 1382, 1387, 1388, 1418, 1422, 1436], "child": [8, 1153, 1278, 1387], "must": [8, 11, 94, 95, 96, 100, 101, 104, 111, 152, 153, 159, 162, 172, 205, 207, 208, 215, 216, 217, 220, 231, 232, 233, 253, 254, 258, 259, 260, 261, 262, 263, 265, 268, 269, 270, 272, 274, 277, 282, 286, 298, 299, 307, 308, 316, 317, 318, 319, 320, 325, 326, 329, 331, 332, 344, 363, 364, 365, 380, 384, 387, 393, 412, 413, 414, 415, 427, 431, 442, 473, 474, 475, 476, 477, 547, 548, 549, 550, 551, 552, 553, 555, 557, 558, 559, 560, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 586, 587, 588, 589, 590, 591, 595, 599, 601, 603, 604, 605, 606, 617, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 682, 692, 694, 700, 701, 709, 723, 736, 737, 738, 739, 791, 798, 855, 856, 859, 869, 893, 894, 900, 901, 904, 914, 930, 936, 940, 975, 976, 982, 986, 1013, 1040, 1041, 1042, 1043, 1066, 1074, 1088, 1105, 1139, 1143, 1152, 1168, 1171, 1179, 1182, 1192, 1194, 1196, 1199, 1203, 1205, 1215, 1219, 1223, 1225, 1241, 1245, 1246, 1276, 1281, 1282, 1283, 1284, 1285, 1301, 1302, 1304, 1313, 1315, 1316, 1317, 1318, 1321, 1339, 1343, 1344, 1345, 1346, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1382, 1402, 1403, 1404, 1416, 1436], "NOT": [8, 111, 200, 551, 552, 553, 750, 889, 927, 971, 1010], "util": [8, 15, 37, 45, 46, 94, 98, 103, 104, 230, 231, 232, 317, 376, 425, 427, 428, 431, 462, 498, 680, 681, 760, 1047, 1127, 1248, 1305, 1307, 1309, 1316, 1325, 1326, 1327, 1331, 1411, 1415, 1416, 1420, 1422, 1425, 1428, 1434], "arbitrary_el": [8, 1401, 1422], "nb": [8, 1337, 1340], "left": [8, 72, 116, 184, 312, 313, 323, 325, 326, 387, 561, 562, 586, 618, 690, 691, 741, 1109, 1140, 1142, 1152, 1185, 1212, 1286, 1361, 1364, 1387, 1413], "right": [8, 72, 111, 112, 116, 153, 207, 323, 327, 387, 429, 430, 502, 561, 562, 586, 587, 589, 590, 617, 618, 690, 691, 741, 856, 937, 983, 1140, 1142, 1152, 1161, 1163, 1185, 1212, 1219, 1221, 1276, 1286, 1387, 1388], "littl": [8, 95, 106, 299, 308], "mislead": 8, "That": [8, 98, 106, 133, 166, 213, 222, 228, 296, 387, 438, 467, 527, 537, 557, 590, 659, 673, 674, 675, 676, 693, 706, 719, 793, 864, 909, 945, 991, 1049, 1168, 1216, 1302, 1396, 1413, 1418], "okai": 8, "becaus": [8, 11, 55, 70, 95, 100, 102, 103, 104, 113, 133, 162, 216, 217, 221, 256, 312, 380, 389, 391, 392, 396, 413, 414, 429, 496, 500, 501, 502, 512, 571, 587, 589, 617, 618, 634, 654, 936, 982, 1041, 1242, 1279, 1302, 1309, 1332, 1351, 1356, 1413, 1416, 1425, 1434], "AND": [8, 111, 600, 750, 764], "OR": [8, 111, 158, 176, 189, 858, 871, 879, 903, 939, 949, 952, 961, 985, 995], "symmetr": [8, 146, 149, 238, 547, 588, 595, 763, 1179, 1198, 1241, 1252, 1256, 1257, 1262, 1264, 1275, 1326, 1327, 1395], "It": [8, 53, 57, 59, 93, 94, 95, 98, 100, 102, 103, 105, 108, 111, 113, 116, 133, 173, 185, 208, 215, 216, 217, 230, 231, 232, 250, 261, 262, 263, 265, 279, 311, 317, 325, 326, 328, 345, 348, 349, 353, 355, 414, 416, 417, 418, 419, 420, 421, 431, 440, 442, 454, 459, 466, 482, 498, 502, 510, 532, 542, 547, 561, 562, 567, 568, 569, 584, 590, 596, 597, 600, 602, 603, 617, 621, 630, 631, 632, 654, 660, 661, 665, 673, 676, 694, 719, 720, 721, 762, 763, 764, 793, 798, 870, 875, 894, 915, 918, 930, 951, 957, 976, 997, 1001, 1013, 1015, 1016, 1021, 1040, 1041, 1042, 1043, 1057, 1120, 1127, 1129, 1176, 1180, 1206, 1207, 1212, 1213, 1216, 1223, 1229, 1233, 1240, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1259, 1260, 1264, 1267, 1269, 1270, 1275, 1281, 1282, 1283, 1286, 1302, 1303, 1329, 1330, 1332, 1334, 1349, 1390, 1391, 1402, 1404, 1407, 1411, 1413, 1416, 1417, 1418, 1420, 1421, 1422, 1436], "just": [8, 100, 103, 104, 105, 106, 185, 200, 340, 376, 441, 466, 561, 562, 579, 662, 663, 664, 694, 793, 875, 889, 918, 927, 948, 957, 962, 971, 994, 1001, 1010, 1045, 1123, 1128, 1132, 1235, 1284, 1285, 1302, 1334, 1402, 1413, 1415], "operand": 8, "predict": [8, 569, 570, 571, 572, 573, 574, 575, 576, 593, 594, 760, 1331, 1411, 1415, 1421], "henc": [8, 169, 190, 523, 867, 880, 912, 948, 962, 994, 1062, 1127, 1128, 1129, 1208, 1391], "doe": [8, 78, 94, 95, 100, 102, 103, 104, 105, 115, 116, 133, 148, 154, 155, 166, 169, 190, 208, 209, 228, 229, 230, 231, 232, 233, 294, 309, 341, 342, 344, 345, 354, 359, 375, 384, 387, 412, 416, 428, 452, 471, 496, 497, 498, 499, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 536, 546, 551, 552, 553, 566, 568, 585, 586, 588, 591, 603, 614, 628, 629, 680, 693, 695, 696, 700, 701, 719, 720, 723, 724, 725, 726, 727, 728, 764, 864, 867, 880, 894, 909, 912, 930, 945, 948, 962, 976, 991, 994, 1013, 1041, 1046, 1069, 1073, 1075, 1084, 1105, 1106, 1108, 1109, 1110, 1112, 1117, 1179, 1181, 1183, 1198, 1213, 1228, 1229, 1233, 1235, 1240, 1247, 1302, 1306, 1309, 1332, 1339, 1340, 1347, 1348, 1350, 1357, 1359, 1360, 1361, 1362, 1363, 1364, 1377, 1385, 1386, 1389, 1391, 1402, 1413, 1414, 1415, 1419, 1426, 1436], "necessarili": [8, 100, 343, 453, 485, 561, 562, 643, 645, 1041, 1225], "behav": [8, 89, 104, 160, 191, 201, 221, 353, 860, 881, 890, 905, 941, 963, 972, 987, 1235, 1302, 1404, 1413], "everi": [8, 11, 58, 89, 94, 110, 113, 121, 145, 158, 162, 178, 212, 213, 221, 222, 230, 231, 232, 236, 244, 265, 288, 296, 301, 325, 326, 345, 354, 382, 399, 439, 441, 442, 452, 464, 473, 474, 475, 476, 477, 479, 485, 486, 493, 514, 518, 567, 608, 616, 617, 621, 634, 635, 637, 638, 665, 687, 689, 690, 719, 720, 793, 858, 903, 939, 985, 1055, 1056, 1057, 1073, 1074, 1075, 1088, 1089, 1105, 1106, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1154, 1168, 1201, 1222, 1223, 1263, 1270, 1284, 1285, 1302, 1416], "left_subformula": 8, "right_subformula": 8, "in_degre": [8, 167, 189, 493, 680, 865, 879, 946, 961, 1183, 1213, 1214, 1413, 1415, 1416, 1436], "ha": [8, 11, 17, 45, 68, 89, 92, 94, 95, 96, 98, 100, 101, 102, 103, 104, 106, 108, 111, 113, 117, 121, 128, 153, 162, 166, 167, 174, 175, 176, 185, 189, 199, 208, 213, 215, 216, 220, 221, 227, 228, 230, 231, 232, 233, 236, 239, 240, 241, 242, 243, 244, 245, 248, 250, 253, 270, 272, 273, 274, 275, 276, 277, 283, 290, 292, 294, 295, 296, 301, 306, 311, 325, 327, 333, 345, 354, 357, 358, 365, 366, 367, 375, 380, 382, 383, 385, 386, 387, 388, 393, 395, 396, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 426, 429, 430, 431, 441, 452, 460, 462, 468, 469, 470, 473, 474, 475, 476, 477, 478, 479, 482, 493, 494, 495, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 524, 566, 568, 579, 580, 583, 592, 595, 607, 609, 612, 613, 624, 625, 626, 630, 631, 632, 634, 635, 636, 637, 638, 640, 648, 649, 651, 654, 659, 660, 684, 690, 692, 694, 699, 713, 719, 720, 731, 732, 733, 741, 751, 788, 793, 856, 864, 865, 871, 875, 879, 888, 894, 901, 909, 910, 918, 926, 930, 937, 945, 946, 950, 952, 957, 961, 970, 976, 983, 991, 992, 996, 1001, 1009, 1013, 1043, 1046, 1048, 1069, 1071, 1073, 1075, 1078, 1083, 1087, 1101, 1102, 1104, 1105, 1106, 1108, 1125, 1136, 1151, 1160, 1166, 1168, 1171, 1182, 1186, 1191, 1199, 1201, 1202, 1203, 1204, 1205, 1213, 1216, 1217, 1221, 1223, 1228, 1240, 1245, 1249, 1250, 1254, 1255, 1260, 1265, 1267, 1270, 1273, 1275, 1276, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1295, 1297, 1299, 1302, 1306, 1332, 1334, 1336, 1339, 1340, 1359, 1360, 1377, 1378, 1385, 1387, 1390, 1402, 1403, 1404, 1407, 1412, 1413, 1414, 1415, 1416, 1418, 1422, 1423, 1425, 1432, 1434], "output": [8, 14, 17, 90, 94, 102, 103, 104, 110, 198, 288, 289, 347, 376, 382, 496, 500, 501, 511, 512, 577, 590, 679, 680, 693, 724, 1048, 1199, 1203, 1205, 1275, 1302, 1332, 1340, 1347, 1350, 1361, 1364, 1388, 1408, 1411, 1413, 1415, 1420, 1422, 1423, 1435, 1436], "two": [8, 11, 13, 17, 28, 35, 39, 44, 55, 56, 58, 59, 66, 68, 72, 89, 94, 96, 100, 101, 103, 106, 110, 113, 115, 116, 121, 133, 152, 172, 176, 185, 186, 189, 203, 208, 212, 213, 214, 215, 216, 217, 218, 221, 222, 227, 228, 231, 232, 233, 246, 250, 252, 253, 254, 258, 259, 261, 262, 263, 266, 270, 271, 272, 273, 274, 275, 276, 277, 283, 286, 287, 288, 290, 306, 312, 316, 317, 323, 328, 331, 332, 339, 343, 345, 347, 353, 354, 360, 361, 379, 382, 383, 385, 393, 413, 414, 421, 425, 430, 431, 432, 433, 444, 445, 446, 447, 449, 454, 455, 456, 459, 464, 473, 474, 475, 476, 477, 478, 482, 493, 496, 500, 501, 502, 504, 505, 508, 510, 511, 512, 513, 523, 547, 551, 552, 553, 557, 561, 562, 563, 564, 565, 566, 567, 568, 570, 571, 574, 576, 580, 586, 587, 588, 589, 590, 595, 600, 607, 609, 610, 612, 613, 617, 621, 628, 629, 631, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 677, 678, 682, 694, 696, 733, 734, 740, 741, 762, 763, 764, 782, 788, 793, 798, 855, 869, 871, 875, 876, 879, 892, 894, 900, 914, 918, 919, 928, 930, 936, 948, 950, 952, 957, 958, 961, 962, 974, 976, 982, 994, 996, 1001, 1002, 1011, 1013, 1022, 1023, 1024, 1025, 1039, 1040, 1042, 1043, 1059, 1087, 1091, 1101, 1103, 1104, 1109, 1110, 1111, 1112, 1117, 1119, 1140, 1152, 1153, 1155, 1157, 1158, 1162, 1180, 1191, 1192, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1210, 1213, 1216, 1217, 1221, 1223, 1224, 1249, 1250, 1259, 1277, 1278, 1281, 1282, 1300, 1301, 1302, 1329, 1330, 1332, 1334, 1365, 1366, 1369, 1402, 1403, 1404, 1406, 1411, 1413, 1414, 1415, 1416, 1419, 1420, 1422, 1434], "layer": [8, 37, 56, 62, 68, 104, 440, 707, 1041, 1112, 1429], "third": [8, 103, 106, 115, 250, 424, 469, 587, 589, 736, 738, 1223, 1232, 1268, 1269, 1332, 1416], "appear": [8, 84, 94, 96, 100, 101, 103, 180, 205, 231, 232, 239, 244, 247, 248, 278, 365, 366, 367, 380, 453, 454, 455, 457, 468, 472, 586, 587, 589, 590, 677, 681, 709, 732, 736, 738, 893, 975, 1039, 1045, 1091, 1105, 1142, 1156, 1158, 1160, 1163, 1165, 1193, 1194, 1283, 1288, 1329, 1330, 1351, 1354, 1355, 1356, 1390, 1416, 1422, 1423], "both": [8, 53, 56, 93, 94, 95, 101, 102, 103, 104, 116, 162, 165, 205, 215, 216, 217, 218, 241, 258, 259, 260, 265, 283, 287, 288, 290, 339, 360, 381, 385, 417, 419, 420, 421, 425, 429, 442, 472, 504, 508, 547, 577, 583, 600, 602, 603, 604, 605, 606, 607, 608, 609, 612, 613, 617, 623, 637, 638, 655, 656, 657, 678, 713, 722, 762, 763, 764, 784, 893, 975, 1023, 1039, 1069, 1078, 1083, 1087, 1091, 1100, 1123, 1132, 1150, 1171, 1195, 1198, 1205, 1213, 1216, 1217, 1219, 1221, 1288, 1302, 1332, 1334, 1364, 1369, 1370, 1395, 1402, 1404, 1411, 1422, 1425, 1426, 1434, 1436], "negat": 8, "sole": [8, 788, 1284, 1285, 1332], "fourth": [8, 231, 232, 1332, 1413], "digraph": [8, 10, 11, 17, 22, 26, 42, 46, 57, 62, 68, 70, 71, 83, 89, 102, 103, 116, 133, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 169, 171, 172, 173, 176, 177, 186, 187, 188, 189, 190, 193, 194, 195, 196, 197, 199, 200, 203, 205, 208, 209, 217, 228, 230, 231, 232, 241, 247, 248, 300, 309, 315, 319, 320, 322, 329, 330, 336, 337, 338, 339, 341, 342, 344, 345, 390, 393, 395, 398, 399, 400, 401, 403, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 432, 433, 439, 452, 454, 455, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 483, 484, 494, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 515, 516, 520, 521, 525, 557, 568, 577, 578, 579, 590, 592, 615, 617, 625, 632, 638, 645, 646, 654, 658, 659, 660, 661, 665, 680, 690, 692, 695, 698, 699, 700, 701, 702, 703, 704, 708, 709, 710, 711, 713, 718, 719, 720, 721, 723, 724, 725, 726, 727, 728, 742, 743, 746, 747, 748, 749, 750, 751, 752, 754, 762, 791, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 915, 917, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 937, 938, 939, 940, 942, 943, 944, 945, 951, 959, 960, 966, 967, 968, 969, 970, 971, 975, 976, 977, 978, 980, 981, 983, 984, 985, 986, 988, 989, 990, 991, 992, 997, 999, 1003, 1004, 1006, 1007, 1008, 1009, 1010, 1013, 1038, 1040, 1041, 1042, 1043, 1044, 1045, 1055, 1065, 1069, 1073, 1075, 1078, 1083, 1086, 1087, 1101, 1102, 1104, 1121, 1141, 1156, 1160, 1174, 1175, 1176, 1179, 1183, 1184, 1186, 1188, 1189, 1190, 1191, 1195, 1223, 1276, 1278, 1279, 1280, 1289, 1290, 1293, 1296, 1298, 1304, 1329, 1332, 1339, 1343, 1348, 1362, 1363, 1368, 1371, 1372, 1377, 1387, 1388, 1402, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1433, 1434, 1436], "add_nod": [8, 11, 27, 35, 70, 75, 90, 103, 158, 185, 247, 341, 342, 400, 424, 493, 494, 498, 506, 507, 510, 524, 525, 607, 609, 612, 613, 693, 798, 858, 875, 903, 918, 939, 957, 985, 1001, 1040, 1042, 1043, 1089, 1281, 1332, 1351, 1416, 1417, 1426, 1436], "get_node_attribut": [8, 40, 45, 72, 1219, 1413], "600": [8, 10, 12], "font_siz": [8, 17, 22, 26, 33, 36, 39, 46, 47, 1139, 1140, 1142], "22": [8, 36, 65, 67, 327, 348, 385, 386, 1277, 1329, 1412, 1417, 1421, 1431], "multipartite_layout": [8, 37, 62, 68, 1421, 1423, 1429], "subset_kei": [8, 37, 62, 68, 1112], "equal": [8, 37, 82, 145, 215, 216, 217, 231, 232, 239, 270, 272, 274, 277, 289, 298, 299, 301, 304, 307, 308, 311, 312, 313, 316, 317, 321, 324, 325, 326, 331, 332, 333, 375, 412, 413, 414, 415, 420, 421, 430, 473, 476, 478, 493, 496, 497, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 527, 537, 547, 554, 555, 556, 557, 570, 574, 607, 625, 659, 673, 674, 675, 676, 689, 690, 691, 692, 723, 724, 742, 743, 755, 763, 793, 1115, 1119, 1168, 1171, 1204, 1210, 1236, 1245, 1277, 1286, 1297, 1313, 1315, 1318, 1407, 1408], "112": [8, 18, 1222], "plot_circuit": [8, 18], "southern": [9, 1271], "women": [9, 1271, 1407, 1415], "unipartit": [9, 116, 259, 260, 360], "properti": [9, 11, 19, 23, 34, 64, 87, 102, 103, 104, 113, 135, 160, 162, 167, 169, 176, 177, 180, 185, 189, 190, 191, 201, 285, 286, 287, 288, 289, 327, 365, 366, 367, 390, 478, 502, 547, 571, 621, 687, 860, 865, 867, 871, 872, 875, 879, 880, 881, 890, 905, 910, 912, 918, 941, 946, 948, 952, 953, 957, 961, 962, 963, 972, 987, 992, 994, 1001, 1088, 1089, 1125, 1140, 1142, 1199, 1208, 1223, 1225, 1275, 1289, 1290, 1332, 1334, 1391, 1407, 1414, 1415, 1416, 1417, 1422, 1426, 1436], "These": [9, 53, 59, 74, 80, 87, 94, 95, 106, 338, 387, 496, 514, 561, 673, 675, 734, 750, 781, 788, 1041, 1048, 1050, 1329, 1332, 1393, 1395, 1401, 1403, 1404, 1406, 1408, 1413, 1414, 1420, 1436], "were": [9, 66, 89, 100, 102, 105, 216, 217, 221, 290, 306, 412, 439, 462, 590, 965, 1005, 1205, 1402, 1404, 1408, 1411, 1414, 1415, 1416, 1422, 1425], "et": [9, 211, 227, 228, 316, 317, 323, 332, 336, 339, 347, 354, 360, 375, 382, 383, 425, 427, 428, 453, 571, 593, 594, 683, 684, 686, 695, 1208], "al": [9, 211, 227, 228, 316, 317, 323, 332, 336, 339, 347, 354, 360, 375, 382, 383, 425, 427, 428, 453, 571, 593, 594, 683, 684, 686, 695, 1208, 1416, 1422], "1930": [9, 1405], "thei": [9, 55, 59, 66, 72, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 133, 152, 166, 208, 214, 221, 250, 286, 288, 289, 297, 298, 299, 302, 303, 307, 308, 309, 310, 353, 364, 376, 393, 398, 429, 453, 454, 455, 456, 466, 467, 473, 474, 475, 476, 477, 498, 506, 507, 510, 514, 548, 549, 550, 561, 562, 578, 585, 588, 590, 602, 606, 677, 678, 706, 719, 752, 762, 788, 855, 864, 894, 900, 909, 930, 936, 945, 965, 976, 982, 991, 1005, 1013, 1039, 1041, 1069, 1088, 1091, 1112, 1123, 1127, 1128, 1129, 1132, 1139, 1141, 1143, 1157, 1165, 1171, 1199, 1203, 1204, 1223, 1277, 1278, 1329, 1334, 1359, 1360, 1362, 1363, 1365, 1369, 1403, 1405, 1411, 1413, 1415, 1418, 1423, 1436], "repres": [9, 11, 27, 44, 53, 55, 58, 68, 93, 100, 108, 116, 231, 232, 266, 282, 284, 287, 288, 289, 292, 293, 340, 352, 363, 364, 365, 379, 380, 382, 383, 384, 387, 388, 393, 450, 454, 455, 457, 459, 462, 467, 468, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 523, 567, 579, 580, 581, 582, 588, 590, 611, 617, 620, 621, 658, 662, 666, 669, 678, 681, 693, 694, 697, 699, 700, 701, 702, 704, 730, 732, 733, 736, 738, 741, 754, 788, 793, 798, 1022, 1023, 1024, 1025, 1040, 1041, 1042, 1043, 1048, 1084, 1105, 1146, 1157, 1191, 1199, 1200, 1202, 1203, 1204, 1205, 1215, 1223, 1246, 1249, 1252, 1256, 1264, 1273, 1275, 1278, 1279, 1284, 1285, 1329, 1330, 1332, 1335, 1336, 1352, 1353, 1387, 1388, 1396, 1402, 1415], "observ": [9, 14, 133, 224, 1423, 1436], "attend": 9, "14": [9, 11, 17, 20, 26, 39, 45, 65, 67, 72, 230, 231, 232, 348, 385, 386, 407, 408, 503, 621, 692, 1156, 1248, 1256, 1268, 1415, 1417, 1436], "event": [9, 26, 100, 101, 111, 1171, 1235, 1306], "18": [9, 45, 65, 67, 94, 325, 326, 347, 348, 385, 386, 620, 1175, 1255, 1261, 1264, 1266, 1269, 1275, 1402, 1415, 1425, 1426, 1430, 1436], "bipartit": [9, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 352, 353, 360, 379, 441, 442, 445, 583, 590, 760, 1046, 1109, 1157, 1209, 1210, 1211, 1271, 1331, 1404, 1407, 1408, 1409, 1410, 1415, 1416, 1420, 1422, 1426, 1430, 1434], "biadjac": [9, 283, 284, 1409, 1415], "7": [9, 12, 13, 15, 20, 26, 36, 45, 47, 64, 65, 66, 67, 69, 90, 100, 102, 103, 116, 126, 152, 159, 171, 172, 193, 208, 233, 269, 298, 300, 315, 323, 329, 334, 335, 341, 342, 344, 348, 364, 376, 382, 393, 405, 412, 415, 416, 417, 425, 426, 427, 428, 443, 447, 448, 485, 498, 503, 510, 513, 514, 557, 583, 588, 620, 621, 632, 654, 660, 665, 673, 676, 682, 697, 705, 708, 709, 710, 732, 749, 752, 763, 798, 855, 859, 868, 869, 883, 894, 900, 904, 913, 914, 917, 922, 930, 936, 940, 949, 976, 982, 986, 995, 999, 1013, 1040, 1042, 1043, 1045, 1055, 1056, 1088, 1103, 1107, 1154, 1218, 1248, 1254, 1256, 1257, 1261, 1264, 1266, 1279, 1329, 1332, 1336, 1345, 1346, 1351, 1354, 1355, 1356, 1388, 1390, 1401, 1403, 1411, 1412, 1414, 1417, 1418, 1419, 1420, 1421, 1422, 1434, 1436], "12": [9, 11, 20, 26, 45, 51, 56, 59, 65, 66, 67, 90, 92, 94, 230, 231, 232, 266, 347, 348, 382, 383, 394, 401, 407, 408, 409, 451, 488, 503, 518, 570, 574, 576, 608, 618, 1055, 1056, 1057, 1139, 1142, 1156, 1250, 1251, 1255, 1260, 1263, 1269, 1341, 1415, 1417, 1421, 1436], "9": [9, 11, 12, 13, 20, 26, 36, 45, 47, 64, 65, 66, 67, 69, 83, 90, 102, 103, 112, 116, 126, 233, 294, 296, 341, 342, 344, 348, 349, 358, 376, 382, 407, 408, 426, 440, 451, 496, 498, 503, 506, 507, 510, 547, 568, 583, 588, 678, 708, 709, 710, 763, 1103, 1107, 1154, 1156, 1200, 1205, 1218, 1223, 1241, 1252, 1261, 1273, 1279, 1289, 1290, 1329, 1332, 1334, 1388, 1405, 1412, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "11": [9, 26, 34, 45, 65, 66, 67, 69, 90, 103, 111, 116, 158, 211, 240, 241, 298, 299, 304, 307, 308, 324, 348, 394, 401, 407, 408, 409, 415, 417, 419, 424, 503, 516, 519, 608, 620, 682, 723, 740, 858, 903, 939, 985, 1055, 1056, 1057, 1103, 1156, 1293, 1412, 1419, 1422, 1423, 1428, 1433, 1434, 1435, 1436], "13": [9, 11, 39, 45, 60, 65, 67, 90, 92, 157, 230, 231, 232, 345, 348, 503, 705, 857, 902, 938, 984, 1156, 1198, 1415, 1429, 1436], "16": [9, 20, 32, 45, 46, 65, 67, 71, 230, 231, 232, 348, 349, 389, 391, 392, 396, 455, 510, 513, 514, 521, 573, 594, 608, 750, 751, 752, 1112, 1211, 1262, 1277, 1292, 1329, 1415, 1420, 1436], "17": [9, 22, 45, 65, 67, 104, 230, 231, 232, 298, 348, 510, 682, 695, 1414, 1415, 1436], "friend": [9, 547, 1416, 1421], "member": [9, 93, 94, 95, 101, 113, 316, 318, 319, 320, 332, 393, 485, 486, 588, 693, 1228, 1273, 1412], "evelyn": 9, "jefferson": 9, "laura": 9, "mandevil": 9, "theresa": 9, "anderson": 9, "brenda": 9, "roger": 9, "charlott": 9, "mcdowd": 9, "franc": 9, "eleanor": 9, "nye": 9, "pearl": [9, 133], "oglethorp": 9, "ruth": 9, "desand": 9, "vern": 9, "sanderson": 9, "myra": 9, "liddel": 9, "katherina": 9, "sylvia": 9, "avondal": 9, "nora": 9, "fayett": 9, "helen": 9, "lloyd": 9, "dorothi": 9, "murchison": 9, "olivia": 9, "carleton": 9, "flora": 9, "price": 9, "meet": [9, 95, 1171, 1202, 1203, 1204], "50": [9, 26, 31, 35, 41, 51, 55, 56, 57, 58, 65, 66, 273, 313, 1120, 1199, 1203, 1204, 1257, 1303, 1308], "45": [9, 59, 65, 111, 227, 301, 411, 1181], "57": [9, 65], "46": [9, 65, 236, 566, 621, 1270], "24": [9, 20, 38, 65, 67, 69, 104, 348, 385, 386, 498, 507, 510, 705, 1218, 1235, 1250, 1268, 1277, 1412], "32": [9, 65, 67, 69, 210, 212, 213, 348, 385, 386, 566, 705, 1412, 1420], "36": [9, 22, 65, 69, 348, 754, 1156, 1268, 1277, 1359, 1360, 1385, 1412], "31": [9, 65, 67, 230, 231, 232, 261, 262, 263, 290, 348, 385, 386, 411, 705, 1232, 1241, 1412], "40": [9, 51, 65, 81, 102, 298, 301, 557, 674, 1179, 1246, 1277], "38": [9, 65, 690, 1277], "33": [9, 59, 65, 67, 69, 94, 348, 385, 386, 502, 516, 705, 1273, 1277, 1412, 1423], "37": [9, 57, 65, 69, 304, 312, 313, 324, 325, 326, 498, 510, 1042, 1043, 1277, 1402, 1412, 1417], "43": [9, 65, 325, 326, 608, 1250, 1277], "34": [9, 65, 69, 333, 510, 764, 1277, 1412], "algorithm": [9, 13, 15, 16, 45, 53, 55, 89, 94, 95, 96, 97, 103, 104, 108, 110, 111, 112, 113, 115, 116, 118, 121, 122, 123, 126, 128, 129, 133, 134, 137, 142, 152, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 228, 229, 230, 231, 232, 233, 236, 250, 252, 253, 254, 255, 256, 257, 259, 261, 262, 263, 264, 265, 266, 267, 268, 273, 276, 278, 279, 281, 283, 285, 286, 287, 288, 289, 290, 291, 294, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 312, 313, 316, 321, 323, 324, 325, 326, 327, 328, 331, 332, 333, 334, 335, 339, 341, 342, 343, 344, 345, 347, 348, 349, 354, 360, 363, 364, 368, 373, 374, 375, 376, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 396, 401, 407, 408, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 423, 424, 426, 427, 428, 429, 430, 431, 432, 434, 435, 437, 439, 442, 451, 453, 454, 455, 456, 457, 462, 466, 468, 470, 483, 484, 485, 490, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 516, 518, 521, 522, 523, 529, 539, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 566, 568, 571, 579, 583, 584, 585, 591, 593, 594, 595, 602, 616, 618, 620, 621, 626, 627, 628, 629, 630, 631, 632, 634, 635, 637, 638, 641, 654, 655, 659, 660, 661, 662, 665, 666, 669, 673, 674, 675, 676, 678, 679, 680, 682, 683, 684, 685, 688, 692, 693, 694, 695, 697, 698, 699, 700, 701, 702, 703, 704, 713, 719, 723, 724, 731, 733, 734, 736, 737, 738, 739, 740, 751, 766, 767, 770, 772, 777, 778, 782, 788, 791, 792, 793, 855, 900, 936, 982, 1014, 1041, 1045, 1046, 1108, 1109, 1110, 1112, 1117, 1119, 1120, 1131, 1132, 1161, 1171, 1174, 1175, 1183, 1184, 1185, 1186, 1187, 1191, 1192, 1193, 1194, 1199, 1201, 1206, 1207, 1208, 1211, 1213, 1215, 1216, 1222, 1229, 1230, 1232, 1233, 1234, 1236, 1237, 1238, 1240, 1241, 1245, 1266, 1275, 1281, 1282, 1283, 1304, 1308, 1325, 1326, 1327, 1329, 1331, 1334, 1373, 1374, 1394, 1402, 1403, 1404, 1409, 1410, 1411, 1412, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1431, 1433, 1434, 1436], "davis_southern_women_graph": [9, 89, 264], "top": [9, 35, 53, 68, 107, 112, 113, 116, 126, 261, 273, 285, 352, 383, 672, 677, 772, 1109, 1140, 1142, 1258, 1405, 1408, 1416, 1421, 1422, 1425], "bottom": [9, 92, 116, 261, 273, 275, 285, 286, 287, 288, 289, 352, 383, 1140, 1142, 1161, 1413, 1425], "biadjacency_matrix": [9, 284], "onto": [9, 285, 286, 287, 288, 289, 561, 562, 1129], "projected_graph": [9, 116, 285, 286, 287, 289, 353], "keep": [9, 93, 94, 95, 116, 205, 347, 348, 349, 364, 379, 389, 391, 392, 396, 585, 600, 695, 696, 893, 975, 1120, 1213, 1216, 1284, 1285, 1302, 1382, 1403, 1420, 1423], "co": [9, 27, 95, 100, 145, 754, 1332], "occur": [9, 94, 96, 101, 231, 232, 278, 279, 281, 385, 583, 584, 585, 590, 1046, 1120, 1123, 1132, 1288, 1302], "count": [9, 186, 238, 239, 243, 244, 246, 298, 299, 311, 316, 332, 362, 388, 445, 570, 599, 621, 751, 755, 876, 919, 946, 952, 958, 961, 1002, 1063, 1185, 1284, 1285, 1415, 1416, 1425], "share": [9, 55, 59, 93, 95, 113, 166, 200, 215, 216, 217, 222, 279, 286, 288, 289, 295, 360, 361, 378, 420, 421, 462, 464, 482, 571, 580, 693, 734, 864, 889, 909, 927, 945, 971, 991, 1010, 1223, 1334], "contact": [9, 93, 690, 1201, 1332], "weighted_projected_graph": [9, 285, 286, 287, 288, 1426], "648": 9, "plot_davis_club": [9, 18], "retain": [10, 103, 111, 231, 285, 286, 287, 288, 289, 1103, 1193, 1301], "pattern": [10, 55, 94, 104, 237, 242, 245, 249, 387, 496, 521, 557, 673, 674, 675, 676, 692, 693, 695, 764, 788, 1039, 1091, 1396, 1422], "add": [10, 11, 27, 35, 42, 46, 50, 53, 62, 72, 89, 90, 92, 94, 95, 102, 103, 106, 107, 116, 152, 153, 154, 155, 157, 158, 159, 165, 208, 223, 224, 230, 283, 286, 343, 376, 413, 414, 425, 430, 432, 433, 452, 462, 583, 584, 585, 591, 616, 617, 620, 621, 656, 692, 703, 719, 720, 798, 852, 855, 856, 857, 858, 859, 894, 897, 900, 901, 902, 903, 904, 930, 933, 936, 937, 938, 939, 940, 976, 979, 982, 983, 984, 985, 986, 987, 1013, 1040, 1041, 1042, 1043, 1045, 1052, 1055, 1056, 1057, 1103, 1127, 1129, 1160, 1171, 1178, 1191, 1213, 1216, 1223, 1225, 1239, 1240, 1242, 1308, 1332, 1359, 1360, 1362, 1363, 1385, 1386, 1391, 1402, 1403, 1404, 1407, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1436], "compressor": [10, 692, 788], "do": [10, 56, 76, 89, 93, 94, 95, 97, 100, 102, 103, 106, 107, 108, 110, 112, 116, 134, 166, 185, 200, 203, 205, 231, 232, 239, 244, 278, 279, 281, 364, 382, 412, 413, 414, 420, 421, 460, 461, 469, 472, 591, 600, 634, 692, 694, 736, 737, 738, 739, 793, 798, 864, 875, 889, 892, 893, 909, 918, 927, 928, 929, 945, 956, 957, 971, 974, 975, 991, 1000, 1001, 1010, 1011, 1012, 1040, 1041, 1042, 1043, 1045, 1064, 1085, 1105, 1171, 1183, 1195, 1199, 1213, 1216, 1222, 1223, 1233, 1278, 1334, 1402, 1410, 1411, 1416, 1420, 1436], "would": [10, 93, 94, 96, 97, 101, 102, 103, 104, 105, 106, 108, 290, 306, 416, 417, 418, 419, 424, 430, 581, 585, 590, 634, 681, 692, 695, 719, 720, 753, 1223, 1242, 1301, 1302, 1306, 1309, 1332, 1425, 1426], "result": [10, 11, 26, 72, 93, 96, 102, 104, 110, 111, 113, 143, 166, 210, 219, 221, 231, 232, 256, 270, 272, 274, 277, 284, 285, 286, 287, 288, 289, 290, 300, 301, 306, 325, 326, 332, 346, 356, 376, 382, 383, 384, 387, 388, 393, 413, 414, 418, 420, 442, 466, 468, 469, 492, 496, 500, 501, 511, 512, 513, 514, 566, 567, 568, 586, 587, 589, 603, 611, 617, 628, 629, 631, 678, 680, 692, 694, 706, 712, 719, 788, 793, 864, 909, 945, 987, 991, 1041, 1045, 1085, 1097, 1101, 1102, 1105, 1106, 1108, 1115, 1116, 1117, 1119, 1127, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1156, 1158, 1160, 1163, 1165, 1166, 1169, 1181, 1183, 1186, 1207, 1228, 1231, 1245, 1284, 1285, 1287, 1302, 1305, 1309, 1314, 1332, 1334, 1337, 1340, 1365, 1411, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1434, 1435, 1436], "fewer": [10, 422, 423, 683, 685, 692, 694, 695, 696, 764, 788, 1219, 1221], "compress": [10, 26, 269, 514, 579, 692, 788, 1119, 1248, 1339, 1340, 1345, 1346, 1350, 1356, 1363, 1364, 1377, 1378, 1382], "suptitl": [10, 16], "original_graph": [10, 16, 692], "white_nod": 10, "red_nod": 10, "250": [10, 33, 1171], "white": [10, 22, 26, 83, 84, 128, 215, 216, 217, 221, 429, 1404, 1407, 1415], "add_nodes_from": [10, 16, 17, 37, 71, 72, 83, 90, 116, 157, 166, 200, 208, 237, 238, 249, 266, 268, 269, 425, 427, 428, 471, 557, 692, 798, 857, 864, 889, 894, 902, 909, 927, 930, 938, 945, 971, 976, 984, 991, 1010, 1013, 1040, 1042, 1043, 1068, 1200, 1223, 1297, 1413, 1415, 1422, 1436], "add_edges_from": [10, 16, 17, 37, 42, 71, 83, 90, 116, 133, 152, 159, 166, 200, 205, 208, 237, 249, 288, 329, 378, 424, 425, 427, 428, 462, 471, 503, 513, 514, 574, 576, 590, 690, 692, 707, 708, 709, 711, 732, 744, 745, 798, 855, 859, 864, 889, 893, 894, 900, 904, 909, 927, 929, 930, 936, 940, 945, 958, 965, 966, 971, 975, 976, 982, 986, 991, 1002, 1005, 1006, 1010, 1012, 1013, 1040, 1042, 1043, 1073, 1088, 1097, 1141, 1160, 1223, 1293, 1297, 1332, 1413, 1416, 1436], "base_opt": [10, 16], "edgecolor": [10, 16, 22, 33, 35, 36, 39, 55, 59, 83, 84, 1143], "black": [10, 16, 22, 26, 66, 70, 94, 600, 1139, 1140, 1142, 1421, 1422, 1423, 1425, 1436], "ax1": [10, 16, 28, 51, 83], "number_of_edg": [10, 16, 26, 29, 199, 692, 888, 926, 970, 1009, 1062, 1160, 1277, 1415, 1416, 1436], "nonexp_graph": 10, "compression_nod": 10, "summar": [10, 16, 101, 102, 692, 693, 760, 793, 1331, 1334, 1387, 1422], "dedensifi": [10, 760], "threshold": [10, 58, 84, 113, 221, 230, 232, 382, 383, 692, 694, 697, 698, 760, 788, 1120, 1199, 1200, 1202, 1203, 1204, 1331, 1407, 1415, 1416, 1417, 1421, 1423], "copi": [10, 17, 39, 45, 94, 96, 107, 168, 197, 200, 203, 204, 205, 206, 285, 286, 287, 288, 289, 343, 390, 392, 394, 408, 435, 436, 437, 438, 439, 455, 462, 471, 523, 586, 587, 589, 598, 601, 604, 605, 607, 608, 609, 612, 613, 615, 616, 635, 638, 692, 866, 887, 889, 892, 893, 911, 927, 928, 929, 947, 966, 969, 971, 974, 975, 993, 1006, 1010, 1011, 1012, 1038, 1041, 1060, 1064, 1066, 1069, 1085, 1086, 1125, 1189, 1195, 1223, 1229, 1233, 1257, 1276, 1300, 1301, 1302, 1412, 1413, 1415, 1416, 1417, 1418, 1421, 1422, 1431, 1434], "nonexp_node_color": 10, "nonexp_node_s": 10, "yellow": [10, 16, 600, 762, 1436], "nonexp_po": 10, "75": [10, 35, 240, 261, 300, 315, 357, 358, 388, 684, 1175, 1176, 1177, 1179, 1413, 1417, 1436], "c_node": [10, 692], "spot": 10, "274": [10, 18], "plot_dedensif": [10, 18], "153": [11, 457], "curiou": 11, "let": [11, 56, 59, 94, 98, 102, 104, 218, 258, 281, 283, 300, 301, 314, 323, 373, 374, 385, 588, 621, 764, 1045, 1225, 1284, 1285, 1332, 1434], "defin": [11, 25, 53, 59, 70, 98, 113, 128, 214, 223, 224, 240, 241, 261, 262, 263, 264, 286, 290, 312, 317, 331, 336, 337, 347, 348, 349, 358, 387, 388, 392, 426, 427, 428, 431, 434, 435, 436, 437, 438, 439, 451, 466, 467, 468, 471, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 521, 569, 571, 572, 573, 575, 576, 577, 579, 588, 616, 617, 621, 623, 627, 654, 673, 675, 676, 678, 686, 687, 688, 689, 690, 691, 730, 732, 740, 753, 754, 755, 764, 793, 798, 1040, 1041, 1042, 1043, 1048, 1050, 1074, 1084, 1101, 1127, 1128, 1129, 1153, 1160, 1176, 1178, 1201, 1203, 1286, 1292, 1293, 1294, 1302, 1326, 1327, 1332, 1350, 1359, 1360, 1365, 1369, 1385, 1404, 1411, 1416, 1417, 1421, 1436], "an": [11, 13, 16, 25, 26, 32, 35, 39, 42, 45, 47, 50, 53, 55, 56, 59, 64, 67, 68, 72, 76, 77, 78, 89, 92, 93, 94, 95, 96, 97, 100, 101, 102, 103, 104, 105, 108, 111, 113, 115, 116, 117, 121, 122, 128, 129, 133, 142, 152, 153, 158, 159, 161, 166, 167, 168, 169, 171, 176, 180, 181, 182, 185, 189, 190, 192, 193, 194, 195, 196, 199, 200, 202, 205, 207, 208, 209, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 227, 228, 230, 231, 232, 233, 236, 239, 240, 241, 244, 250, 251, 252, 256, 257, 265, 267, 268, 270, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 292, 293, 294, 295, 296, 298, 299, 300, 302, 303, 307, 308, 309, 310, 312, 313, 316, 317, 319, 320, 321, 323, 325, 326, 327, 328, 331, 332, 334, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 355, 358, 359, 364, 365, 366, 367, 368, 372, 375, 376, 377, 379, 380, 381, 382, 383, 385, 386, 387, 389, 390, 391, 392, 394, 396, 397, 402, 404, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 429, 430, 431, 433, 434, 435, 439, 440, 441, 442, 451, 452, 453, 457, 458, 459, 462, 464, 468, 469, 470, 471, 473, 474, 475, 476, 477, 479, 482, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 518, 519, 521, 522, 523, 524, 525, 526, 527, 532, 536, 537, 542, 546, 547, 557, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 579, 580, 581, 582, 586, 588, 590, 591, 592, 595, 596, 597, 598, 599, 600, 603, 606, 607, 609, 612, 613, 617, 618, 620, 621, 626, 628, 629, 633, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 680, 681, 682, 683, 684, 685, 686, 688, 692, 693, 694, 696, 697, 698, 699, 703, 705, 706, 707, 708, 709, 710, 718, 719, 721, 723, 724, 725, 726, 727, 728, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 745, 750, 754, 762, 763, 764, 769, 777, 784, 793, 798, 803, 808, 812, 816, 820, 824, 829, 834, 839, 844, 849, 851, 852, 853, 855, 856, 858, 859, 861, 864, 865, 866, 867, 868, 871, 873, 874, 875, 879, 880, 882, 883, 884, 885, 886, 888, 889, 891, 893, 894, 896, 897, 898, 900, 901, 903, 904, 906, 909, 910, 911, 912, 913, 916, 917, 918, 922, 923, 924, 925, 926, 927, 929, 930, 932, 933, 934, 936, 937, 939, 940, 942, 945, 946, 947, 948, 949, 950, 952, 954, 955, 956, 957, 961, 962, 964, 965, 966, 967, 968, 970, 971, 973, 975, 976, 978, 979, 980, 982, 983, 985, 986, 988, 991, 992, 993, 994, 995, 996, 998, 999, 1000, 1001, 1005, 1006, 1007, 1008, 1009, 1010, 1012, 1013, 1015, 1016, 1021, 1023, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1048, 1049, 1052, 1053, 1054, 1064, 1065, 1069, 1071, 1077, 1078, 1084, 1085, 1087, 1088, 1089, 1090, 1091, 1093, 1097, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1118, 1120, 1125, 1127, 1128, 1129, 1139, 1141, 1143, 1149, 1150, 1152, 1155, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1172, 1173, 1181, 1183, 1184, 1185, 1187, 1188, 1191, 1192, 1193, 1194, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1208, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1222, 1223, 1224, 1228, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1240, 1241, 1242, 1245, 1248, 1250, 1256, 1265, 1268, 1269, 1273, 1275, 1276, 1277, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1293, 1294, 1297, 1300, 1301, 1302, 1306, 1308, 1309, 1325, 1326, 1327, 1329, 1330, 1332, 1334, 1335, 1337, 1339, 1340, 1342, 1347, 1350, 1358, 1368, 1369, 1371, 1377, 1383, 1384, 1385, 1386, 1387, 1388, 1389, 1391, 1395, 1402, 1403, 1404, 1406, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1421, 1422, 1423, 1425, 1426, 1433, 1434, 1436], "process": [11, 14, 53, 77, 93, 94, 95, 97, 98, 99, 103, 105, 181, 223, 227, 233, 275, 333, 340, 375, 385, 407, 408, 442, 457, 466, 467, 468, 594, 626, 693, 762, 788, 873, 916, 954, 998, 1048, 1103, 1127, 1128, 1129, 1181, 1183, 1186, 1222, 1225, 1228, 1231, 1251, 1286, 1296, 1301, 1302, 1305, 1307, 1391, 1404, 1416, 1417, 1421, 1422, 1423, 1428, 1436], "follow": [11, 26, 45, 50, 53, 54, 66, 68, 84, 87, 92, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 109, 111, 112, 129, 133, 152, 162, 172, 184, 208, 214, 228, 230, 231, 232, 244, 281, 306, 340, 345, 348, 353, 364, 375, 380, 382, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 442, 454, 455, 467, 468, 498, 504, 505, 506, 507, 508, 509, 510, 590, 600, 601, 604, 617, 638, 681, 750, 752, 762, 764, 793, 855, 869, 894, 900, 914, 930, 936, 950, 976, 982, 996, 1013, 1105, 1106, 1108, 1150, 1171, 1181, 1185, 1191, 1194, 1206, 1207, 1215, 1225, 1231, 1239, 1240, 1247, 1257, 1266, 1280, 1281, 1282, 1283, 1287, 1302, 1321, 1329, 1332, 1334, 1335, 1387, 1396, 1402, 1404, 1408, 1413, 1415, 1416, 1418, 1420, 1421, 1422, 1434, 1436], "given": [11, 13, 39, 45, 63, 65, 68, 92, 100, 102, 104, 113, 117, 142, 143, 145, 153, 159, 194, 198, 209, 212, 213, 228, 230, 236, 237, 249, 250, 261, 265, 267, 270, 272, 274, 275, 277, 280, 282, 284, 285, 286, 287, 288, 289, 321, 331, 333, 340, 346, 348, 353, 355, 359, 364, 365, 366, 367, 375, 380, 382, 383, 387, 441, 456, 457, 462, 464, 472, 479, 480, 482, 499, 513, 514, 515, 561, 562, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 578, 580, 581, 582, 590, 591, 592, 616, 617, 618, 624, 625, 661, 662, 663, 664, 678, 679, 680, 681, 683, 685, 686, 688, 692, 693, 695, 699, 700, 701, 702, 704, 705, 706, 708, 709, 710, 711, 730, 731, 732, 733, 734, 741, 750, 755, 763, 784, 788, 856, 859, 884, 901, 904, 923, 937, 940, 966, 983, 986, 1006, 1049, 1088, 1089, 1097, 1104, 1105, 1141, 1150, 1157, 1168, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1195, 1205, 1206, 1207, 1212, 1213, 1214, 1215, 1216, 1227, 1228, 1246, 1275, 1279, 1280, 1282, 1301, 1306, 1308, 1321, 1329, 1359, 1360, 1385, 1386, 1387, 1388, 1403, 1404, 1415], "digit": [11, 71, 100], "base": [11, 16, 39, 44, 56, 59, 70, 94, 95, 101, 102, 103, 104, 108, 129, 133, 200, 204, 206, 213, 217, 221, 230, 297, 298, 302, 303, 304, 309, 310, 311, 312, 313, 323, 324, 325, 326, 327, 331, 332, 339, 345, 348, 349, 364, 373, 375, 376, 382, 383, 384, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 425, 427, 428, 429, 430, 432, 433, 451, 466, 468, 496, 500, 501, 502, 511, 512, 547, 557, 566, 568, 571, 576, 583, 616, 618, 662, 669, 682, 690, 693, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 719, 734, 740, 760, 763, 764, 788, 793, 798, 889, 927, 936, 937, 971, 982, 983, 1010, 1039, 1040, 1041, 1044, 1046, 1085, 1091, 1188, 1235, 1241, 1259, 1273, 1302, 1326, 1327, 1329, 1332, 1391, 1395, 1399, 1401, 1404, 1411, 1412, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1430, 1434], "obtain": [11, 92, 166, 208, 283, 347, 348, 349, 382, 385, 389, 390, 391, 392, 396, 467, 513, 608, 620, 621, 658, 724, 744, 745, 762, 798, 864, 894, 909, 930, 945, 976, 991, 1013, 1040, 1042, 1043, 1170, 1259, 1278, 1284, 1285, 1329, 1332, 1362, 1363, 1411, 1436], "seri": [11, 446, 618, 682, 1221, 1292], "finit": [11, 464, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 516, 520, 1183, 1185, 1198, 1228], "end": [11, 26, 37, 53, 96, 102, 107, 154, 155, 207, 216, 228, 268, 269, 301, 334, 335, 344, 373, 374, 429, 616, 620, 621, 628, 629, 633, 634, 636, 637, 638, 641, 642, 652, 653, 654, 655, 656, 657, 662, 666, 669, 679, 680, 682, 736, 738, 1041, 1045, 1064, 1069, 1078, 1083, 1085, 1087, 1120, 1127, 1139, 1141, 1158, 1171, 1212, 1235, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1356, 1359, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1385, 1388, 1413, 1422], "In": [11, 17, 28, 44, 55, 58, 59, 89, 93, 94, 95, 96, 98, 100, 101, 102, 104, 111, 116, 128, 133, 134, 176, 185, 200, 218, 230, 231, 232, 236, 241, 258, 259, 260, 279, 284, 287, 289, 290, 300, 312, 313, 325, 326, 331, 352, 359, 380, 381, 382, 412, 415, 416, 417, 424, 431, 445, 449, 452, 460, 462, 496, 500, 501, 503, 512, 567, 570, 574, 576, 592, 593, 617, 621, 623, 654, 655, 656, 659, 660, 665, 672, 677, 678, 692, 693, 703, 705, 719, 720, 721, 732, 734, 742, 743, 744, 745, 763, 764, 769, 772, 791, 793, 798, 871, 875, 889, 918, 927, 956, 957, 971, 1000, 1001, 1010, 1040, 1041, 1042, 1043, 1045, 1046, 1069, 1103, 1104, 1120, 1160, 1174, 1205, 1209, 1212, 1213, 1214, 1216, 1222, 1223, 1228, 1232, 1237, 1239, 1247, 1301, 1302, 1306, 1326, 1327, 1332, 1334, 1356, 1387, 1403, 1407, 1408, 1413, 1414, 1415, 1416, 1417, 1418, 1422, 1423, 1436], "languag": [11, 93, 100, 111, 1045, 1330, 1347, 1348, 1350, 1389, 1390, 1391, 1420], "discret": [11, 105, 236, 250, 364, 411, 515, 519, 520, 620, 762, 1170, 1171, 1184, 1186, 1192, 1196, 1210, 1284, 1285, 1288, 1320, 1321, 1329, 1415], "global": [11, 104, 315, 343, 412, 479, 488, 489, 511, 594, 1048, 1275, 1302, 1307, 1310, 1311, 1334, 1416, 1418, 1420], "attractor": [11, 390], "map": [11, 35, 39, 53, 68, 102, 103, 104, 116, 126, 145, 146, 149, 167, 170, 198, 239, 244, 265, 352, 371, 393, 414, 418, 419, 420, 421, 425, 426, 427, 428, 433, 442, 462, 532, 533, 536, 542, 543, 546, 547, 561, 562, 563, 565, 590, 616, 672, 678, 680, 753, 754, 762, 764, 865, 910, 946, 949, 992, 995, 1015, 1016, 1021, 1022, 1041, 1042, 1043, 1048, 1139, 1141, 1143, 1223, 1275, 1301, 1302, 1312, 1316, 1323, 1324, 1330, 1331, 1367, 1368, 1402, 1411, 1415, 1417, 1421, 1422, 1434, 1436], "restrict": [11, 103, 129, 355, 793, 1041, 1085, 1413], "For": [11, 55, 68, 89, 93, 94, 96, 98, 100, 102, 103, 104, 106, 108, 111, 116, 126, 129, 133, 144, 152, 159, 160, 161, 166, 169, 186, 190, 200, 201, 205, 227, 231, 232, 236, 239, 240, 241, 247, 248, 256, 260, 283, 298, 299, 300, 302, 303, 305, 307, 308, 309, 310, 312, 313, 315, 316, 317, 322, 323, 325, 326, 328, 330, 331, 332, 340, 348, 349, 358, 359, 360, 382, 387, 394, 397, 399, 400, 402, 404, 405, 406, 409, 412, 413, 414, 415, 416, 418, 419, 420, 421, 424, 431, 433, 434, 435, 436, 437, 438, 452, 455, 462, 481, 482, 490, 496, 497, 498, 500, 501, 504, 505, 508, 509, 511, 512, 524, 525, 526, 557, 567, 570, 574, 576, 587, 589, 600, 616, 617, 620, 621, 627, 635, 638, 643, 645, 661, 679, 680, 688, 689, 690, 693, 719, 720, 721, 735, 736, 737, 738, 739, 744, 745, 754, 755, 756, 764, 772, 777, 784, 788, 791, 793, 798, 855, 859, 860, 861, 864, 867, 876, 880, 889, 890, 893, 900, 904, 905, 906, 909, 912, 919, 927, 936, 940, 941, 942, 945, 948, 958, 962, 965, 971, 972, 982, 986, 987, 988, 991, 994, 1002, 1005, 1010, 1040, 1041, 1042, 1043, 1045, 1065, 1067, 1069, 1074, 1088, 1097, 1101, 1102, 1104, 1105, 1106, 1108, 1114, 1118, 1127, 1128, 1129, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1149, 1154, 1157, 1160, 1181, 1183, 1185, 1186, 1191, 1194, 1195, 1199, 1201, 1202, 1203, 1204, 1205, 1219, 1220, 1223, 1225, 1230, 1234, 1238, 1248, 1278, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1291, 1292, 1295, 1297, 1299, 1302, 1304, 1332, 1334, 1339, 1351, 1354, 1355, 1356, 1362, 1363, 1364, 1377, 1387, 1390, 1398, 1402, 1404, 1409, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "108": [11, 1222], "513": [11, 1407, 1415], "reach": [11, 100, 101, 315, 325, 329, 378, 385, 389, 391, 392, 396, 412, 413, 414, 420, 421, 496, 500, 501, 512, 566, 568, 628, 629, 634, 642, 645, 654, 695, 713, 760, 1194, 1213, 1216, 1387, 1388, 1416], "orbit": 11, "up": [11, 71, 81, 94, 95, 98, 100, 101, 102, 105, 106, 108, 133, 134, 348, 349, 379, 425, 429, 511, 532, 542, 579, 621, 654, 655, 659, 750, 1039, 1041, 1064, 1069, 1085, 1091, 1105, 1127, 1129, 1150, 1154, 1179, 1219, 1221, 1278, 1332, 1334, 1361, 1364, 1404, 1405, 1411, 1413, 1415, 1419, 1420, 1422, 1423, 1425, 1426, 1429, 1434, 1436], "reveal": [11, 713, 788], "cycl": [11, 39, 45, 96, 121, 215, 228, 229, 230, 231, 232, 233, 264, 294, 295, 296, 340, 343, 345, 360, 451, 452, 453, 454, 455, 459, 464, 465, 466, 468, 469, 470, 482, 498, 503, 506, 507, 510, 521, 586, 587, 589, 610, 630, 631, 632, 634, 654, 659, 660, 665, 699, 729, 744, 745, 760, 793, 1046, 1055, 1141, 1143, 1154, 1155, 1158, 1169, 1192, 1196, 1248, 1250, 1266, 1270, 1331, 1404, 1406, 1407, 1410, 1412, 1413, 1415, 1416, 1417, 1420, 1421, 1423, 1433], "requir": [11, 39, 66, 94, 95, 96, 100, 101, 102, 103, 105, 107, 108, 110, 112, 116, 166, 208, 292, 293, 294, 297, 302, 303, 309, 310, 317, 439, 478, 502, 522, 523, 617, 682, 700, 701, 702, 722, 731, 733, 788, 793, 798, 864, 894, 909, 930, 945, 976, 991, 1013, 1040, 1042, 1043, 1049, 1114, 1149, 1198, 1199, 1205, 1221, 1223, 1241, 1302, 1332, 1351, 1354, 1355, 1356, 1390, 1402, 1403, 1405, 1411, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1428, 1429, 1434, 1436], "less": [11, 35, 44, 100, 102, 129, 143, 145, 228, 290, 325, 326, 382, 383, 385, 386, 387, 424, 427, 428, 431, 466, 522, 523, 638, 675, 688, 733, 788, 1141, 1168, 1180, 1191, 1193, 1200, 1281, 1282, 1359, 1360, 1385, 1413, 1414, 1417, 1420, 1422, 1423], "smallest": [11, 32, 212, 222, 265, 364, 372, 378, 383, 442, 485, 492, 681, 731, 733, 1051, 1206, 1255, 1265, 1281, 1282, 1308, 1326, 1327, 1416], "177": [11, 298, 299, 307, 308, 331], "e": [11, 16, 17, 32, 35, 39, 47, 53, 62, 66, 68, 70, 72, 77, 83, 90, 92, 93, 94, 95, 96, 98, 100, 102, 103, 104, 105, 108, 111, 112, 113, 116, 128, 142, 145, 152, 153, 158, 159, 169, 171, 172, 178, 190, 193, 196, 208, 212, 218, 219, 222, 227, 234, 237, 242, 245, 249, 250, 268, 276, 279, 281, 283, 285, 289, 290, 291, 294, 296, 301, 302, 303, 306, 307, 308, 309, 310, 312, 313, 314, 323, 325, 326, 327, 328, 333, 334, 335, 341, 342, 343, 345, 347, 357, 358, 360, 363, 373, 374, 376, 380, 385, 387, 400, 407, 408, 431, 436, 451, 454, 455, 457, 469, 470, 471, 473, 474, 476, 477, 478, 481, 490, 492, 493, 494, 496, 498, 500, 501, 504, 505, 506, 507, 508, 509, 510, 511, 512, 519, 520, 567, 568, 577, 579, 584, 588, 590, 592, 595, 600, 604, 617, 618, 620, 621, 627, 628, 677, 679, 680, 688, 690, 693, 694, 695, 734, 736, 738, 764, 798, 852, 855, 856, 858, 859, 867, 868, 869, 880, 883, 886, 894, 897, 900, 901, 903, 904, 912, 913, 914, 922, 925, 930, 933, 936, 937, 939, 940, 948, 949, 950, 962, 965, 968, 976, 979, 982, 983, 985, 986, 987, 994, 995, 996, 1005, 1008, 1013, 1040, 1041, 1042, 1043, 1045, 1050, 1100, 1103, 1107, 1139, 1140, 1141, 1142, 1152, 1160, 1171, 1181, 1183, 1185, 1186, 1188, 1189, 1190, 1193, 1198, 1199, 1200, 1209, 1210, 1211, 1213, 1216, 1225, 1228, 1232, 1236, 1239, 1240, 1266, 1272, 1274, 1284, 1285, 1286, 1293, 1294, 1298, 1301, 1308, 1309, 1316, 1326, 1327, 1329, 1332, 1335, 1339, 1343, 1344, 1347, 1350, 1362, 1396, 1402, 1405, 1411, 1412, 1414, 1415, 1416, 1418, 1420, 1422, 1423, 1426], "687": 11, "1071": 11, "345": 11, "216": [11, 1199], "225": [11, 90, 208, 279, 894, 930, 976, 1013, 1161], "141": [11, 227], "66": [11, 35, 59, 65, 568], "432": 11, "99": [11, 66, 594, 1207, 1239, 1329, 1412], "1458": 11, "702": 11, "351": 11, "test": [11, 53, 89, 95, 96, 97, 98, 100, 104, 106, 107, 110, 133, 181, 268, 269, 311, 340, 345, 399, 400, 422, 423, 456, 522, 527, 537, 557, 618, 673, 742, 743, 744, 745, 757, 759, 762, 764, 873, 916, 954, 998, 1045, 1073, 1075, 1171, 1332, 1339, 1340, 1343, 1345, 1346, 1350, 1355, 1356, 1377, 1378, 1381, 1382, 1402, 1404, 1405, 1407, 1410, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1432, 1433, 1434, 1436], "softwar": [11, 92, 108, 112, 483, 484, 731, 733, 1436], "power": [11, 46, 95, 111, 208, 312, 313, 325, 373, 374, 522, 523, 566, 568, 694, 760, 894, 930, 976, 1013, 1046, 1171, 1181, 1243, 1244, 1261, 1322, 1325, 1404, 1415, 1416, 1436], "abov": [11, 93, 94, 101, 102, 103, 104, 111, 292, 293, 316, 317, 326, 332, 382, 385, 388, 455, 462, 493, 496, 500, 501, 504, 505, 511, 512, 523, 688, 694, 732, 764, 1041, 1105, 1127, 1128, 1129, 1154, 1171, 1191, 1225, 1240, 1280, 1284, 1285, 1306, 1408, 1413, 1416, 1426], "correspond": [11, 68, 102, 104, 145, 162, 168, 223, 224, 228, 229, 230, 231, 232, 233, 234, 235, 266, 267, 282, 312, 313, 325, 326, 333, 334, 352, 363, 364, 382, 393, 417, 419, 420, 421, 424, 462, 478, 484, 513, 516, 583, 585, 590, 611, 617, 618, 626, 630, 631, 632, 679, 680, 681, 730, 731, 733, 734, 744, 745, 750, 793, 852, 866, 897, 911, 933, 947, 979, 993, 1101, 1102, 1104, 1105, 1106, 1108, 1112, 1118, 1141, 1149, 1150, 1181, 1183, 1184, 1185, 1186, 1187, 1199, 1200, 1218, 1228, 1277, 1278, 1280, 1282, 1283, 1284, 1285, 1287, 1329, 1338, 1339, 1341, 1342, 1361, 1364, 1365, 1366, 1369, 1370, 1376, 1387, 1403, 1414, 1415], "below": [11, 14, 26, 93, 95, 100, 101, 112, 152, 207, 332, 385, 410, 412, 413, 414, 415, 416, 417, 419, 421, 431, 466, 493, 494, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 567, 617, 694, 798, 855, 900, 936, 982, 1040, 1042, 1043, 1120, 1150, 1181, 1183, 1223, 1228, 1248, 1281, 1282, 1283, 1302, 1355, 1402, 1411, 1413, 1426, 1436], "powersum": 11, "over": [11, 35, 39, 50, 72, 89, 95, 96, 100, 102, 103, 104, 110, 153, 158, 159, 160, 161, 169, 176, 177, 181, 182, 185, 189, 190, 191, 192, 196, 201, 202, 214, 215, 221, 231, 236, 292, 296, 300, 315, 316, 317, 321, 327, 331, 332, 347, 348, 349, 364, 365, 366, 367, 371, 375, 376, 387, 410, 411, 431, 479, 490, 491, 498, 499, 525, 528, 531, 535, 538, 541, 545, 600, 638, 680, 692, 705, 706, 707, 708, 709, 710, 712, 713, 721, 735, 736, 738, 740, 764, 851, 853, 856, 858, 859, 860, 861, 867, 871, 872, 873, 874, 875, 879, 880, 881, 882, 886, 890, 891, 896, 898, 901, 903, 904, 905, 906, 912, 916, 917, 918, 925, 932, 934, 937, 939, 940, 941, 942, 948, 953, 954, 955, 957, 962, 963, 964, 968, 972, 973, 978, 980, 983, 985, 986, 987, 988, 994, 998, 999, 1001, 1008, 1077, 1078, 1087, 1103, 1198, 1223, 1231, 1239, 1247, 1284, 1285, 1294, 1332, 1334, 1402, 1411, 1413, 1414, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435, 1436], "converg": [11, 312, 325, 375, 566, 567, 568, 678, 1046, 1416, 1417], "singl": [11, 14, 59, 81, 94, 95, 100, 102, 103, 105, 108, 144, 152, 153, 157, 159, 167, 169, 176, 177, 181, 189, 190, 194, 221, 266, 275, 291, 294, 295, 300, 316, 323, 329, 333, 346, 355, 356, 393, 395, 426, 429, 445, 464, 466, 493, 496, 500, 501, 504, 505, 511, 512, 579, 586, 587, 589, 600, 623, 637, 662, 663, 664, 679, 680, 692, 707, 744, 745, 788, 793, 798, 855, 856, 857, 859, 865, 867, 871, 872, 873, 879, 880, 884, 900, 901, 902, 904, 910, 912, 916, 923, 936, 937, 938, 940, 946, 948, 952, 953, 954, 961, 962, 965, 966, 982, 983, 984, 986, 992, 994, 998, 1005, 1006, 1040, 1042, 1043, 1044, 1045, 1048, 1049, 1061, 1088, 1089, 1094, 1095, 1096, 1100, 1101, 1102, 1104, 1105, 1107, 1123, 1127, 1129, 1132, 1139, 1141, 1143, 1146, 1153, 1157, 1162, 1170, 1173, 1178, 1195, 1203, 1278, 1280, 1301, 1302, 1324, 1326, 1327, 1329, 1330, 1334, 1337, 1340, 1341, 1351, 1369, 1370, 1375, 1410, 1413, 1415, 1416, 1418, 1421, 1422], "fix": [11, 92, 94, 95, 96, 101, 107, 514, 695, 696, 711, 1120, 1275, 1403, 1405, 1409, 1411, 1412, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "appli": [11, 36, 53, 89, 93, 100, 221, 231, 232, 300, 323, 341, 342, 344, 360, 464, 511, 588, 590, 620, 627, 649, 762, 788, 793, 1039, 1045, 1088, 1089, 1091, 1097, 1141, 1143, 1170, 1194, 1203, 1248, 1275, 1288, 1302, 1329, 1362, 1363, 1403, 1413, 1416, 1434], "lead": [11, 100, 102, 231, 232, 385, 473, 474, 475, 476, 477, 569, 1181, 1183, 1228, 1332, 1414, 1436], "370": [11, 1250], "371": [11, 275], "407": [11, 348, 349], "modulo": [11, 588, 1196], "ad": [11, 17, 28, 42, 72, 89, 95, 96, 97, 98, 100, 101, 102, 103, 104, 106, 128, 142, 152, 153, 154, 155, 156, 158, 159, 207, 208, 228, 235, 275, 323, 333, 424, 536, 546, 581, 585, 603, 665, 692, 788, 793, 855, 856, 858, 859, 894, 900, 901, 903, 904, 930, 936, 937, 939, 940, 965, 976, 982, 983, 985, 986, 1005, 1013, 1055, 1056, 1066, 1101, 1103, 1104, 1127, 1128, 1129, 1188, 1189, 1190, 1192, 1235, 1239, 1240, 1242, 1278, 1284, 1285, 1330, 1332, 1335, 1404, 1405, 1407, 1409, 1410, 1411, 1412, 1413, 1414, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1433, 1434], "anoth": [11, 44, 58, 93, 95, 102, 104, 105, 108, 113, 316, 332, 600, 617, 695, 696, 706, 719, 742, 743, 744, 745, 764, 793, 798, 1040, 1042, 1043, 1088, 1181, 1219, 1221, 1225, 1334, 1413, 1420, 1428, 1436], "invari": [11, 608, 620, 621, 777, 1196], "subset": [11, 72, 102, 112, 113, 211, 212, 298, 299, 303, 308, 310, 424, 459, 485, 486, 567, 568, 583, 584, 585, 626, 688, 689, 764, 788, 793, 1112, 1157, 1168, 1301, 1404, 1407, 1415, 1420, 1422, 1436], "squar": [11, 15, 71, 327, 360, 1045, 1114, 1179, 1198, 1201, 1221, 1258, 1259, 1277, 1329], "certain": [11, 455, 616, 621, 680, 721, 1240, 1284, 1285], "itself": [11, 95, 100, 101, 102, 104, 301, 320, 348, 349, 350, 351, 355, 363, 364, 458, 463, 1049, 1127, 1128, 1129, 1170, 1223, 1332, 1387, 1388, 1418, 1436], "keyword": [11, 33, 95, 96, 104, 152, 153, 157, 158, 159, 185, 199, 208, 227, 291, 300, 321, 329, 376, 385, 504, 505, 508, 509, 617, 680, 741, 754, 798, 852, 855, 856, 857, 858, 859, 875, 888, 894, 897, 900, 901, 902, 903, 904, 918, 926, 930, 933, 936, 937, 938, 939, 940, 957, 970, 976, 979, 982, 983, 984, 985, 986, 1001, 1009, 1013, 1040, 1042, 1043, 1045, 1055, 1056, 1057, 1136, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1188, 1195, 1199, 1202, 1203, 1204, 1205, 1301, 1302, 1305, 1330, 1332, 1349, 1369, 1370, 1402, 1403, 1404, 1406, 1407, 1408, 1413, 1415, 1416, 1417, 1421, 1422, 1423, 1431, 1434], "recur": 11, "narcissist": 11, "happi": [11, 1419, 1422, 1429], "There": [11, 56, 98, 100, 104, 106, 113, 166, 185, 340, 343, 352, 455, 466, 498, 503, 506, 507, 510, 620, 621, 628, 634, 637, 681, 731, 733, 737, 739, 750, 752, 798, 864, 875, 909, 918, 945, 957, 991, 1001, 1040, 1120, 1300, 1332, 1336, 1403, 1413, 1414, 1416, 1418, 1436], "rich": [11, 53, 627, 760, 1331, 1406, 1415], "histori": [11, 93, 95, 100, 354], "mathemat": [11, 210, 211, 212, 213, 236, 264, 298, 299, 307, 308, 316, 317, 318, 321, 331, 332, 411, 446, 455, 464, 490, 492, 515, 516, 519, 520, 570, 574, 620, 695, 762, 1170, 1184, 1186, 1194, 1196, 1198, 1210, 1288, 1292, 1329], "recreat": [11, 413, 414, 418, 419, 420, 421, 1117], "most": [11, 81, 93, 102, 103, 104, 108, 111, 116, 122, 134, 200, 213, 236, 279, 297, 302, 303, 304, 309, 310, 324, 332, 363, 376, 380, 385, 386, 412, 413, 414, 420, 421, 424, 427, 428, 452, 462, 466, 493, 522, 523, 570, 574, 576, 580, 586, 588, 610, 620, 639, 640, 654, 660, 677, 688, 693, 694, 722, 762, 763, 764, 788, 793, 798, 889, 927, 966, 971, 1006, 1010, 1040, 1042, 1043, 1045, 1172, 1173, 1197, 1202, 1203, 1204, 1229, 1233, 1302, 1308, 1309, 1332, 1334, 1402, 1403, 1413, 1416, 1422, 1436], "famou": [11, 58, 1329], "collatz": 11, "see": [11, 46, 50, 53, 54, 57, 87, 89, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 106, 108, 111, 112, 116, 122, 129, 133, 152, 166, 203, 205, 209, 214, 218, 221, 223, 224, 228, 231, 232, 233, 244, 253, 254, 257, 258, 259, 260, 261, 268, 272, 273, 275, 276, 278, 279, 282, 283, 285, 286, 287, 288, 289, 297, 298, 304, 307, 315, 324, 328, 340, 348, 349, 354, 370, 375, 379, 380, 382, 383, 385, 386, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 429, 466, 472, 482, 490, 496, 500, 501, 502, 504, 505, 508, 509, 511, 512, 513, 514, 518, 547, 567, 568, 576, 588, 590, 591, 616, 618, 621, 622, 627, 649, 683, 684, 685, 686, 688, 689, 694, 695, 696, 700, 701, 703, 712, 724, 737, 739, 740, 749, 762, 784, 788, 798, 855, 864, 892, 893, 900, 909, 928, 929, 936, 945, 974, 975, 982, 991, 1011, 1012, 1040, 1042, 1043, 1097, 1103, 1105, 1108, 1122, 1123, 1125, 1126, 1132, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1159, 1160, 1164, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1213, 1216, 1220, 1223, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1248, 1275, 1279, 1281, 1282, 1283, 1287, 1292, 1295, 1297, 1299, 1302, 1325, 1330, 1332, 1343, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1379, 1381, 1382, 1387, 1389, 1390, 1391, 1394, 1397, 1398, 1402, 1403, 1404, 1406, 1408, 1409, 1410, 1411, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1426, 1436], "collatz_problem_digraph": 11, "conjectur": [11, 39, 1270], "still": [11, 25, 35, 92, 96, 100, 101, 103, 104, 583, 584, 585, 591, 617, 630, 631, 632, 694, 1066, 1223, 1402, 1411, 1413, 1414, 1415, 1416, 1418, 1422, 1434], "unproven": 11, "even": [11, 93, 95, 100, 106, 111, 181, 231, 232, 236, 244, 290, 312, 385, 400, 491, 500, 514, 518, 519, 617, 661, 706, 719, 732, 798, 873, 916, 949, 954, 995, 998, 1040, 1042, 1043, 1045, 1181, 1191, 1213, 1215, 1216, 1219, 1221, 1228, 1245, 1300, 1302, 1334, 1390, 1413, 1415, 1421, 1425, 1436], "great": [11, 95, 98, 1416], "paul": [11, 92, 439, 1185], "erdo": [11, 61, 73, 87, 595, 1421], "said": [11, 98, 100, 316, 332, 387, 580, 764], "yet": [11, 70, 98, 106, 108, 216, 375, 706, 719, 798, 1040, 1042, 1043, 1045, 1048, 1213, 1216, 1332, 1334], "readi": [11, 98, 100, 1127, 1129, 1219, 1302, 1332, 1413], "offer": [11, 102, 106, 680, 1436], "500": [11, 12, 16, 39, 65, 233, 1118, 1171], "its": [11, 55, 56, 94, 100, 101, 104, 105, 108, 111, 145, 168, 200, 213, 214, 218, 223, 224, 230, 241, 259, 265, 275, 283, 285, 287, 288, 289, 295, 312, 313, 314, 316, 322, 325, 326, 330, 332, 339, 347, 348, 349, 354, 360, 372, 375, 380, 382, 385, 386, 389, 442, 472, 493, 496, 513, 514, 583, 585, 587, 589, 590, 617, 690, 724, 734, 740, 753, 760, 762, 793, 866, 889, 911, 927, 947, 971, 993, 1010, 1045, 1064, 1069, 1085, 1158, 1161, 1168, 1171, 1191, 1196, 1201, 1208, 1213, 1216, 1217, 1222, 1223, 1231, 1239, 1240, 1241, 1247, 1251, 1270, 1281, 1283, 1284, 1285, 1293, 1294, 1325, 1332, 1404, 1408, 1413, 1421, 1430, 1434, 1436], "solut": [11, 14, 45, 102, 103, 105, 219, 220, 222, 228, 229, 230, 231, 232, 233, 257, 278, 279, 282, 312, 313, 326, 424, 466, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 567, 763, 1046, 1326, 1327, 1373, 1374, 1394, 1420, 1422], "3x": 11, "thwait": 11, "cubing_153_digraph": 11, "10000": [11, 297, 1208], "shortest": [11, 20, 72, 113, 216, 217, 226, 227, 233, 258, 285, 296, 298, 299, 300, 302, 303, 307, 308, 309, 310, 311, 316, 317, 321, 323, 328, 329, 332, 453, 472, 475, 487, 488, 489, 498, 502, 510, 512, 571, 610, 628, 629, 630, 631, 632, 633, 634, 635, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 682, 684, 686, 700, 754, 755, 760, 784, 1331, 1332, 1403, 1404, 1408, 1411, 1412, 1415, 1416, 1420, 1421, 1423, 1433, 1434], "path": [11, 20, 21, 24, 40, 48, 68, 72, 87, 94, 95, 100, 103, 113, 115, 153, 215, 216, 217, 221, 226, 227, 228, 233, 250, 258, 262, 263, 264, 268, 269, 285, 288, 296, 298, 299, 300, 302, 303, 307, 308, 309, 310, 311, 315, 316, 317, 321, 323, 328, 329, 331, 332, 334, 335, 340, 344, 412, 415, 416, 417, 418, 419, 420, 421, 425, 427, 428, 452, 453, 454, 455, 456, 458, 460, 461, 462, 467, 469, 470, 471, 472, 475, 487, 488, 489, 491, 493, 495, 496, 498, 500, 501, 502, 503, 504, 505, 508, 509, 510, 511, 512, 522, 523, 567, 579, 583, 587, 589, 610, 621, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 679, 680, 681, 682, 684, 686, 694, 699, 700, 719, 720, 732, 754, 755, 760, 784, 793, 856, 901, 937, 983, 1045, 1046, 1056, 1074, 1084, 1111, 1124, 1126, 1127, 1128, 1129, 1133, 1135, 1152, 1158, 1162, 1163, 1165, 1170, 1183, 1223, 1242, 1278, 1302, 1306, 1329, 1331, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1355, 1356, 1358, 1360, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1384, 1386, 1388, 1403, 1404, 1407, 1408, 1410, 1411, 1412, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426, 1430, 1432, 1433, 1434, 1436], "nmax": 11, "digitsrep": [11, 1416], "compris": [11, 33, 105, 282], "nonneg": [11, 431, 518, 590, 1181, 1183, 1421], "dlist": 11, "while": [11, 14, 55, 95, 101, 102, 103, 106, 166, 169, 190, 230, 316, 332, 360, 452, 466, 467, 468, 588, 617, 655, 695, 696, 706, 719, 721, 722, 735, 762, 788, 864, 867, 880, 909, 912, 945, 948, 962, 991, 994, 1041, 1092, 1093, 1120, 1139, 1141, 1213, 1216, 1225, 1242, 1278, 1308, 1332, 1334, 1349, 1351, 1356, 1413, 1425, 1429, 1430, 1434, 1436], "prepend": 11, "signific": [11, 95, 108, 1332, 1402, 1403, 1414, 1415], "floor": [11, 1207], "divis": [11, 66, 290, 569, 576, 588, 1228], "attractor153_graph": 11, "k1": [11, 359, 679], "knext": 11, "squaring_cycle_graph_old": 11, "stop": [11, 53, 93, 102, 142, 312, 313, 325, 376, 382, 383, 385, 566, 568, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 658, 659, 662, 663, 664, 669, 670, 671, 679, 680, 719, 720, 1045, 1120, 1387, 1388, 1411], "out_degre": [11, 167, 176, 493, 680, 865, 871, 946, 952, 1183, 1213, 1214, 1413, 1415, 1416, 1436], "alreadi": [11, 98, 112, 152, 203, 230, 346, 350, 351, 355, 356, 371, 478, 561, 694, 695, 696, 706, 719, 753, 798, 855, 892, 900, 928, 936, 956, 974, 982, 1000, 1011, 1040, 1042, 1043, 1276, 1301, 1302, 1308, 1332, 1387, 1415, 1436], "out": [11, 17, 93, 94, 95, 100, 102, 106, 107, 108, 111, 117, 129, 169, 189, 190, 200, 222, 236, 240, 241, 242, 243, 244, 245, 248, 273, 290, 312, 313, 320, 323, 325, 326, 330, 339, 358, 359, 361, 362, 382, 387, 434, 435, 436, 437, 438, 450, 511, 515, 524, 525, 526, 623, 695, 704, 867, 879, 880, 889, 912, 927, 948, 961, 962, 971, 994, 1010, 1064, 1085, 1132, 1174, 1183, 1184, 1191, 1192, 1195, 1213, 1214, 1276, 1278, 1293, 1304, 1408, 1415, 1416, 1418, 1422, 1425, 1428, 1436], "break": [11, 96, 104, 105, 165, 217, 221, 341, 376, 412, 415, 416, 429, 430, 466, 1041, 1046, 1347, 1350, 1361, 1364, 1412, 1413], "sum_of_digits_graph": 11, "discrete_dynamics_digraph": 11, "squaring_cycle_digraph": 11, "itermax": 11, "50000": 11, "kold": 11, "knew": 11, "exceed": [11, 344, 1231], "els": [11, 13, 20, 26, 35, 63, 69, 89, 90, 95, 103, 200, 387, 429, 567, 583, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 748, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846, 889, 927, 971, 1010, 1214, 1302, 1306, 1361, 1364, 1415, 1422], "fixed_point": 11, "shortest_path": [11, 72, 233, 329, 502, 510, 628, 634, 641, 643, 645, 655, 659, 679, 680, 682, 700, 760, 1404, 1407, 1408, 1411, 1413, 1415, 1416, 1418, 1421, 1422, 1425, 1436], "095": [11, 18, 89, 91], "plot_iterated_dynamical_system": [11, 18], "023": 12, "102": [12, 71, 750, 751, 752, 1280], "231": [12, 279], "389": 12, "222": [12, 41, 321, 620, 1245, 1436], "444": 12, "333": 12, "667": 12, "556": 12, "close": [12, 66, 84, 94, 97, 110, 115, 250, 259, 268, 300, 301, 304, 317, 323, 324, 334, 335, 354, 454, 455, 490, 494, 595, 684, 697, 753, 760, 788, 1048, 1120, 1212, 1302, 1306, 1343, 1403, 1406, 1409, 1410, 1415, 1420, 1423, 1428], "529": [12, 1407, 1415], "643": 12, "429": 12, "310": 12, "3f": [12, 84], "degree_centr": [12, 258, 259, 300, 318, 319, 320, 321, 322, 323, 330], "closeness_centr": [12, 258, 260, 304, 317, 321, 323, 324, 753, 1407, 1430], "367": [12, 684], "066": [12, 18], "plot_krackhardt_centr": [12, 18], "vertic": [13, 115, 116, 212, 213, 250, 282, 323, 375, 389, 391, 392, 439, 479, 480, 481, 482, 490, 493, 494, 516, 517, 520, 620, 621, 769, 1101, 1104, 1109, 1112, 1127, 1129, 1140, 1142, 1170, 1175, 1186, 1196, 1198, 1212, 1219, 1221, 1223, 1224, 1225, 1256, 1259, 1269, 1270, 1277, 1329, 1436], "where": [13, 26, 44, 45, 56, 78, 93, 94, 95, 96, 98, 100, 102, 103, 105, 107, 110, 113, 115, 133, 146, 153, 159, 185, 194, 200, 207, 211, 220, 227, 228, 232, 233, 235, 236, 237, 240, 241, 242, 250, 258, 259, 260, 261, 262, 263, 276, 283, 285, 288, 290, 294, 295, 297, 298, 299, 300, 301, 302, 303, 305, 307, 308, 309, 310, 311, 312, 313, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 330, 332, 334, 336, 338, 357, 358, 359, 360, 363, 364, 372, 373, 374, 382, 385, 386, 387, 388, 392, 415, 424, 425, 426, 439, 452, 454, 455, 456, 460, 464, 466, 472, 479, 481, 483, 484, 515, 517, 518, 519, 520, 523, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 581, 582, 587, 589, 592, 595, 608, 624, 625, 627, 631, 635, 638, 654, 660, 661, 662, 666, 669, 673, 675, 677, 678, 679, 684, 686, 688, 689, 690, 691, 693, 699, 705, 708, 709, 713, 719, 720, 721, 751, 856, 859, 875, 884, 889, 901, 904, 918, 923, 927, 940, 957, 966, 971, 986, 1001, 1006, 1010, 1038, 1046, 1049, 1063, 1071, 1086, 1088, 1097, 1105, 1120, 1151, 1181, 1185, 1187, 1196, 1199, 1202, 1203, 1204, 1212, 1236, 1241, 1245, 1246, 1283, 1286, 1289, 1290, 1291, 1292, 1293, 1294, 1325, 1332, 1403, 1414, 1415, 1416, 1422, 1436], "adjac": [13, 21, 44, 55, 59, 64, 89, 102, 113, 115, 121, 160, 167, 170, 176, 189, 191, 195, 201, 208, 211, 213, 216, 239, 242, 243, 244, 245, 248, 250, 253, 283, 301, 312, 313, 314, 325, 326, 334, 335, 343, 345, 354, 373, 374, 378, 385, 386, 387, 414, 430, 482, 485, 486, 514, 521, 586, 587, 589, 590, 595, 607, 608, 610, 681, 777, 798, 851, 860, 865, 871, 879, 881, 885, 890, 894, 896, 905, 910, 924, 930, 932, 941, 946, 952, 963, 967, 972, 976, 978, 987, 992, 1007, 1013, 1022, 1023, 1040, 1042, 1043, 1078, 1094, 1095, 1097, 1098, 1101, 1102, 1104, 1105, 1106, 1108, 1173, 1197, 1223, 1226, 1275, 1277, 1284, 1285, 1286, 1287, 1291, 1292, 1293, 1294, 1295, 1329, 1331, 1332, 1333, 1336, 1337, 1338, 1339, 1340, 1365, 1366, 1375, 1376, 1377, 1378, 1392, 1393, 1402, 1408, 1415, 1416, 1422, 1423, 1434, 1436], "approxim": [13, 45, 94, 210, 211, 212, 213, 214, 215, 216, 217, 219, 220, 221, 222, 227, 228, 229, 230, 231, 232, 233, 236, 297, 298, 307, 424, 675, 676, 677, 683, 684, 685, 686, 760, 1046, 1118, 1171, 1240, 1275, 1331, 1404, 1408, 1409, 1415, 1416, 1422, 1431, 1434], "approx": [13, 216, 217, 228, 230, 231, 232, 1422], "maximum_independent_set": [13, 1422], "39299899": 13, "071": [13, 18], "plot_maximum_independent_set": [13, 18], "multiprocess": 14, "modul": [14, 94, 96, 104, 116, 126, 166, 203, 205, 368, 723, 762, 764, 772, 791, 793, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1041, 1045, 1302, 1329, 1332, 1351, 1354, 1355, 1356, 1395, 1402, 1404, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1429, 1434, 1436], "librari": [14, 46, 50, 59, 94, 95, 96, 97, 100, 101, 102, 104, 105, 110, 166, 203, 205, 278, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1308, 1364, 1389, 1391, 1394, 1408, 1411, 1414, 1415, 1422, 1434], "accept": [14, 93, 94, 95, 101, 102, 103, 104, 105, 108, 113, 230, 231, 232, 286, 344, 348, 349, 355, 380, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 473, 474, 475, 476, 477, 504, 505, 508, 509, 590, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 791, 1105, 1199, 1205, 1302, 1306, 1402, 1404, 1411, 1413, 1414, 1415, 1416, 1421, 1422, 1423, 1434], "bunch": [14, 961, 1415], "contribut": [14, 92, 94, 95, 97, 101, 106, 108, 109, 110, 291, 519, 520, 1284, 1285, 1404, 1411, 1414, 1416, 1421], "whole": [14, 261, 622, 623, 1428], "divid": [14, 258, 260, 264, 305, 311, 322, 330, 388, 464, 588, 690, 1425], "chunk": 14, "note": [14, 26, 27, 35, 56, 70, 94, 95, 96, 103, 104, 105, 107, 111, 113, 134, 142, 143, 144, 152, 153, 157, 158, 159, 166, 168, 169, 181, 182, 185, 190, 194, 196, 200, 202, 203, 205, 208, 211, 212, 213, 216, 217, 219, 220, 221, 222, 225, 227, 230, 231, 232, 233, 236, 237, 239, 242, 244, 245, 247, 248, 249, 250, 253, 254, 256, 258, 259, 260, 261, 265, 268, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 291, 292, 293, 294, 295, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 314, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 330, 331, 332, 333, 334, 335, 339, 340, 343, 344, 345, 347, 348, 349, 350, 351, 353, 354, 357, 358, 359, 360, 362, 364, 373, 374, 375, 376, 380, 382, 388, 389, 391, 392, 393, 394, 396, 397, 399, 400, 401, 402, 404, 405, 406, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 425, 426, 427, 428, 429, 430, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 445, 449, 451, 452, 453, 454, 455, 456, 457, 459, 462, 464, 466, 467, 468, 470, 478, 481, 484, 485, 487, 488, 489, 490, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 517, 518, 519, 520, 521, 547, 551, 552, 553, 557, 561, 562, 566, 567, 568, 577, 579, 583, 584, 587, 588, 589, 591, 592, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 609, 610, 611, 612, 613, 614, 618, 620, 621, 623, 627, 628, 630, 631, 632, 633, 634, 637, 638, 640, 641, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 677, 679, 680, 681, 682, 683, 684, 685, 686, 688, 690, 692, 693, 694, 695, 696, 699, 700, 701, 702, 703, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 719, 720, 721, 722, 730, 731, 732, 733, 735, 736, 737, 738, 739, 741, 742, 743, 744, 745, 750, 751, 755, 762, 788, 851, 855, 856, 857, 858, 859, 864, 866, 867, 873, 874, 875, 880, 884, 886, 889, 891, 892, 893, 894, 896, 900, 901, 902, 903, 904, 909, 911, 912, 916, 917, 918, 923, 925, 927, 928, 929, 930, 932, 933, 936, 937, 938, 939, 940, 945, 947, 948, 954, 955, 956, 957, 962, 966, 968, 971, 973, 974, 975, 976, 978, 979, 982, 983, 984, 985, 986, 991, 993, 994, 998, 999, 1000, 1001, 1006, 1008, 1010, 1011, 1012, 1013, 1041, 1042, 1043, 1049, 1050, 1062, 1063, 1064, 1066, 1069, 1071, 1085, 1088, 1089, 1090, 1092, 1093, 1097, 1098, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1109, 1110, 1112, 1117, 1118, 1119, 1121, 1122, 1123, 1125, 1126, 1131, 1132, 1133, 1136, 1137, 1138, 1139, 1141, 1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1157, 1158, 1160, 1163, 1166, 1168, 1171, 1172, 1173, 1174, 1176, 1178, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1191, 1192, 1193, 1194, 1195, 1198, 1199, 1200, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1213, 1214, 1216, 1222, 1223, 1224, 1225, 1228, 1230, 1231, 1232, 1234, 1236, 1238, 1239, 1240, 1241, 1243, 1244, 1245, 1247, 1257, 1261, 1275, 1277, 1278, 1279, 1281, 1282, 1283, 1284, 1285, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1295, 1297, 1299, 1300, 1301, 1302, 1304, 1306, 1309, 1325, 1326, 1327, 1329, 1337, 1339, 1340, 1343, 1344, 1347, 1348, 1349, 1350, 1351, 1353, 1354, 1355, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1369, 1370, 1371, 1377, 1385, 1386, 1387, 1388, 1403, 1408, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1428, 1431, 1434, 1436], "non": [14, 93, 101, 102, 113, 115, 152, 195, 216, 227, 250, 314, 318, 319, 320, 332, 333, 340, 341, 342, 343, 344, 349, 388, 389, 391, 392, 396, 414, 421, 430, 469, 470, 513, 514, 547, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 587, 589, 595, 617, 618, 662, 663, 664, 709, 729, 741, 760, 762, 855, 885, 900, 924, 936, 967, 982, 1007, 1079, 1080, 1088, 1105, 1161, 1181, 1183, 1186, 1214, 1225, 1228, 1241, 1252, 1270, 1301, 1317, 1325, 1331, 1351, 1356, 1362, 1363, 1382, 1387, 1388, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1426], "faster": [14, 56, 144, 227, 245, 298, 299, 307, 308, 331, 353, 357, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 470, 547, 561, 661, 740, 763, 788, 1230, 1232, 1234, 1236, 1237, 1238, 1364, 1402, 1403, 1404, 1407, 1408, 1410, 1411, 1413, 1415, 1416, 1420, 1421, 1423], "limit": [14, 26, 85, 100, 111, 112, 258, 354, 376, 385, 462, 577, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 1046, 1139, 1332, 1418, 1421, 1422], "our": [14, 55, 93, 94, 95, 96, 97, 98, 101, 102, 108, 112, 312, 1332, 1390, 1402, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "ci": [14, 107, 1420, 1421, 1422, 1423, 1429, 1430], "cd": [14, 107, 112, 590], "core": [14, 89, 97, 100, 102, 108, 110, 221, 434, 435, 436, 437, 438, 439, 440, 620, 621, 760, 788, 1331, 1391, 1414, 1423, 1434], "your": [14, 44, 53, 56, 92, 93, 94, 95, 98, 100, 106, 107, 112, 185, 208, 231, 232, 233, 300, 364, 455, 468, 588, 731, 733, 763, 782, 798, 875, 894, 918, 930, 957, 976, 1001, 1013, 1040, 1041, 1042, 1043, 1045, 1069, 1085, 1103, 1123, 1129, 1132, 1160, 1181, 1332, 1334, 1412, 1413, 1418, 1434, 1436], "setup": [14, 1415, 1416, 1420, 1421, 1422, 1423], "you": [14, 35, 44, 50, 53, 57, 66, 76, 89, 92, 93, 94, 98, 100, 106, 107, 111, 112, 116, 126, 133, 153, 158, 159, 166, 185, 186, 196, 200, 203, 204, 205, 206, 208, 231, 232, 239, 244, 252, 270, 272, 274, 277, 283, 300, 302, 303, 309, 310, 325, 326, 329, 350, 351, 364, 383, 385, 392, 394, 401, 407, 408, 409, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 454, 462, 468, 493, 494, 496, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 561, 577, 585, 588, 600, 601, 604, 635, 649, 654, 656, 657, 659, 680, 681, 682, 690, 700, 701, 723, 731, 733, 751, 753, 763, 772, 791, 798, 856, 858, 859, 864, 875, 876, 886, 889, 892, 893, 894, 901, 903, 904, 909, 918, 919, 925, 927, 928, 929, 930, 937, 939, 940, 945, 949, 957, 958, 968, 971, 974, 975, 976, 983, 985, 986, 991, 995, 1001, 1002, 1008, 1010, 1011, 1012, 1013, 1040, 1041, 1042, 1043, 1045, 1064, 1066, 1069, 1085, 1088, 1089, 1123, 1127, 1128, 1129, 1132, 1136, 1156, 1158, 1160, 1163, 1165, 1166, 1169, 1171, 1181, 1183, 1195, 1202, 1203, 1204, 1222, 1228, 1287, 1302, 1332, 1334, 1336, 1347, 1350, 1351, 1354, 1355, 1356, 1358, 1360, 1365, 1371, 1382, 1384, 1386, 1389, 1390, 1391, 1393, 1402, 1403, 1411, 1412, 1413, 1414, 1416, 1418, 1419, 1434, 1436], "like": [14, 59, 93, 94, 95, 96, 97, 100, 102, 103, 104, 106, 108, 133, 160, 166, 169, 185, 190, 191, 200, 201, 203, 205, 208, 221, 353, 462, 514, 527, 537, 547, 557, 579, 595, 599, 617, 655, 673, 674, 675, 676, 681, 684, 690, 705, 722, 725, 726, 727, 728, 762, 764, 798, 801, 802, 806, 807, 810, 811, 814, 815, 818, 819, 822, 823, 827, 828, 832, 833, 837, 838, 842, 843, 847, 848, 860, 864, 867, 875, 880, 881, 889, 890, 892, 893, 894, 905, 909, 912, 918, 927, 928, 929, 930, 941, 945, 948, 949, 957, 962, 963, 971, 972, 974, 975, 976, 987, 991, 994, 995, 1001, 1010, 1011, 1012, 1013, 1014, 1040, 1041, 1042, 1043, 1044, 1045, 1049, 1064, 1085, 1088, 1089, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1139, 1141, 1160, 1171, 1181, 1183, 1191, 1228, 1235, 1240, 1302, 1303, 1304, 1305, 1306, 1307, 1330, 1332, 1333, 1334, 1358, 1362, 1363, 1384, 1386, 1393, 1403, 1404, 1413, 1414, 1415, 1416, 1418, 1419, 1422, 1434, 1436], "speedup": [14, 95, 700, 701, 1407, 1415, 1417, 1420, 1421], "1000": [14, 31, 32, 35, 208, 214, 325, 678, 894, 930, 976, 1013, 1208, 1241], "2991": 14, "version": [14, 26, 42, 53, 70, 89, 92, 94, 100, 104, 107, 166, 168, 221, 233, 273, 276, 278, 298, 333, 334, 335, 339, 346, 348, 349, 350, 351, 354, 356, 375, 380, 407, 408, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 454, 455, 457, 500, 504, 505, 508, 509, 620, 621, 635, 687, 734, 740, 762, 864, 866, 909, 911, 945, 947, 991, 993, 1041, 1050, 1131, 1132, 1172, 1173, 1188, 1190, 1192, 1205, 1213, 1302, 1314, 1332, 1347, 1348, 1350, 1364, 1369, 1370, 1390, 1406, 1407, 1411, 1412, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1432, 1433, 1434, 1436], "8475": 14, "24859": 14, "9750": 14, "4962": 14, "2561": 14, "00112": 14, "9241": 14, "2000": [14, 34, 66, 83, 314, 754, 1201, 1211, 1235, 1416], "5178": 14, "01252": 14, "6976": 14, "pool": 14, "itertool": [14, 37, 103, 208, 376, 413, 414, 418, 420, 425, 427, 428, 599, 680, 682, 894, 930, 976, 1013, 1100, 1421], "l": [14, 16, 26, 32, 44, 68, 92, 111, 113, 129, 158, 227, 275, 323, 364, 381, 382, 388, 411, 440, 455, 457, 490, 492, 515, 516, 517, 520, 521, 522, 523, 557, 575, 592, 621, 684, 686, 695, 754, 759, 764, 858, 903, 939, 985, 1170, 1172, 1173, 1175, 1176, 1177, 1184, 1185, 1186, 1188, 1189, 1190, 1193, 1201, 1202, 1203, 1204, 1205, 1207, 1212, 1213, 1214, 1215, 1216, 1222, 1223, 1229, 1235, 1272, 1275, 1286, 1289, 1290, 1291, 1292, 1296, 1308, 1309, 1329, 1387, 1410, 1418, 1419], "l_c": [14, 387], "tupl": [14, 89, 103, 152, 153, 157, 158, 159, 161, 169, 171, 172, 176, 177, 184, 185, 189, 190, 193, 194, 208, 210, 225, 234, 235, 246, 247, 248, 253, 267, 268, 296, 309, 310, 311, 323, 376, 379, 388, 398, 424, 442, 452, 459, 460, 466, 470, 479, 480, 491, 508, 523, 566, 569, 570, 571, 572, 573, 574, 575, 576, 577, 579, 580, 586, 588, 590, 595, 599, 603, 606, 607, 609, 612, 613, 616, 618, 628, 642, 659, 662, 666, 669, 673, 674, 675, 692, 706, 712, 719, 720, 721, 730, 732, 736, 738, 741, 747, 793, 855, 856, 857, 858, 859, 861, 867, 868, 869, 871, 872, 875, 879, 880, 883, 884, 894, 900, 901, 902, 903, 904, 906, 912, 913, 914, 918, 922, 923, 930, 936, 937, 938, 939, 940, 942, 948, 949, 950, 952, 953, 957, 961, 962, 965, 966, 976, 982, 983, 984, 985, 986, 988, 994, 995, 996, 1001, 1005, 1006, 1013, 1048, 1067, 1073, 1075, 1087, 1088, 1096, 1100, 1111, 1120, 1139, 1140, 1141, 1143, 1157, 1199, 1205, 1213, 1218, 1223, 1246, 1280, 1288, 1302, 1309, 1313, 1318, 1330, 1332, 1339, 1342, 1343, 1344, 1402, 1403, 1408, 1415, 1416, 1421, 1423, 1434, 1436], "islic": [14, 376, 682], "betweenness_centrality_parallel": 14, "node_divisor": 14, "_pool": 14, "node_chunk": 14, "num_chunk": 14, "bt_sc": 14, "starmap": [14, 680, 1421], "betweenness_centrality_subset": [14, 298, 1408], "reduc": [14, 15, 94, 100, 103, 108, 110, 231, 236, 345, 379, 387, 621, 692, 788, 798, 1040, 1042, 1043, 1170, 1202, 1203, 1204, 1242, 1326, 1327, 1329, 1420, 1421], "partial": [14, 92, 424, 459, 536, 546, 680, 1194, 1301, 1329, 1420, 1421, 1422, 1434], "bt_c": 14, "bt": 14, "g_ba": 14, "barabasi_albert_graph": [14, 31, 1422, 1436], "g_er": 14, "g_w": 14, "connected_watts_strogatz_graph": [14, 1247], "tparallel": 14, "ttime": 14, "4f": 14, "tbetween": 14, "5f": 14, "tnon": 14, "577": [14, 18, 348, 349], "plot_parallel_between": [14, 18], "matric": [15, 110, 283, 291, 297, 302, 303, 304, 309, 310, 324, 1105, 1108, 1226, 1275, 1286, 1326, 1327, 1331, 1395, 1401, 1407, 1408, 1410, 1411, 1415, 1416, 1423], "give": [15, 71, 95, 98, 100, 101, 102, 106, 172, 215, 216, 217, 223, 230, 298, 300, 307, 319, 320, 323, 343, 360, 379, 487, 510, 633, 705, 724, 869, 914, 949, 950, 995, 996, 1041, 1045, 1179, 1199, 1250, 1300, 1329, 1332, 1358, 1360, 1384, 1386, 1390], "spars": [15, 94, 110, 283, 284, 291, 302, 303, 309, 310, 313, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 617, 688, 751, 788, 798, 852, 897, 933, 979, 1040, 1041, 1042, 1043, 1044, 1100, 1104, 1108, 1118, 1179, 1230, 1234, 1236, 1237, 1238, 1241, 1285, 1286, 1287, 1288, 1291, 1292, 1326, 1327, 1332, 1395, 1398, 1401, 1403, 1411, 1414, 1415, 1423, 1433, 1434], "bandwidth": [15, 1326, 1327], "unord": 15, "laplacian": [15, 44, 302, 303, 309, 310, 327, 478, 760, 1118, 1281, 1282, 1283, 1286, 1289, 1290, 1291, 1292, 1297, 1299, 1331, 1407, 1410, 1415, 1421, 1423, 1434], "seaborn": 15, "sn": 15, "rcm": [15, 1326, 1327, 1422], "reverse_cuthill_mckee_ord": [15, 1326], "laplacian_matrix": [15, 327, 1281, 1282, 1283, 1286, 1289, 1290, 1292, 1297, 1410, 1423], "nonzero": [15, 301, 306, 357, 1181, 1198, 1223], "lower": [15, 108, 110, 215, 216, 217, 218, 221, 228, 297, 301, 302, 303, 304, 309, 310, 324, 333, 385, 788, 1119, 1171, 1178, 1191, 1387, 1422], "upper": [15, 113, 301, 385, 1101, 1104, 1171, 1387, 1422], "heatmap": 15, "todens": [15, 777, 1108, 1287], "cbar": 15, "annot": [15, 107, 1390], "183": [15, 18], "plot_rcm": [15, 18], "attribut": [16, 17, 40, 50, 53, 56, 57, 62, 68, 74, 78, 79, 87, 89, 102, 103, 108, 116, 126, 152, 153, 157, 158, 159, 162, 163, 166, 167, 168, 169, 171, 176, 177, 180, 185, 189, 190, 193, 199, 200, 203, 205, 208, 209, 220, 223, 224, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 252, 253, 266, 270, 271, 272, 273, 274, 275, 276, 277, 283, 284, 285, 286, 287, 288, 289, 296, 297, 298, 299, 300, 302, 303, 304, 307, 308, 309, 310, 312, 313, 315, 316, 317, 321, 324, 325, 326, 328, 329, 331, 332, 352, 354, 357, 358, 380, 382, 383, 385, 386, 387, 393, 413, 414, 418, 419, 420, 421, 431, 432, 433, 435, 436, 437, 438, 439, 444, 445, 446, 447, 449, 450, 453, 460, 461, 462, 472, 473, 474, 475, 476, 477, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 521, 527, 537, 547, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560, 563, 564, 565, 570, 574, 576, 583, 587, 589, 590, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 609, 612, 613, 617, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 682, 688, 689, 690, 691, 693, 721, 723, 724, 725, 726, 727, 728, 735, 736, 737, 738, 739, 740, 741, 753, 754, 755, 772, 798, 852, 855, 856, 857, 858, 859, 862, 864, 865, 866, 867, 868, 871, 872, 875, 879, 880, 883, 888, 889, 892, 893, 894, 897, 900, 901, 902, 903, 904, 907, 909, 910, 911, 912, 913, 918, 922, 926, 927, 928, 929, 930, 933, 936, 937, 938, 939, 940, 943, 945, 946, 947, 948, 949, 952, 953, 957, 961, 962, 970, 971, 974, 975, 976, 979, 982, 983, 984, 985, 986, 989, 991, 992, 993, 994, 995, 1001, 1009, 1010, 1011, 1012, 1013, 1023, 1040, 1041, 1042, 1043, 1045, 1049, 1050, 1055, 1056, 1057, 1064, 1067, 1068, 1069, 1073, 1075, 1084, 1085, 1087, 1088, 1089, 1101, 1102, 1103, 1104, 1105, 1106, 1108, 1111, 1118, 1120, 1121, 1127, 1128, 1129, 1139, 1141, 1157, 1171, 1176, 1195, 1199, 1200, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1219, 1221, 1223, 1273, 1275, 1276, 1278, 1284, 1285, 1287, 1293, 1294, 1300, 1302, 1330, 1331, 1332, 1347, 1348, 1349, 1350, 1351, 1354, 1355, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1368, 1369, 1370, 1371, 1372, 1382, 1387, 1388, 1391, 1402, 1404, 1406, 1407, 1408, 1411, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1430, 1434], "group": [16, 22, 67, 92, 93, 101, 221, 229, 239, 300, 316, 317, 318, 319, 320, 332, 387, 429, 466, 693, 760, 763, 788, 1175, 1176, 1177, 1179, 1196, 1239, 1255, 1273, 1332, 1402, 1403, 1406, 1409, 1415, 1417, 1420, 1422], "pairwis": [16, 37, 45, 103, 113, 215, 216, 230, 231, 232, 262, 263, 377, 425, 427, 428, 462, 680, 681, 693, 1223], "confus": [16, 102, 103, 166, 693, 864, 909, 945, 991, 1202, 1203, 1204, 1407, 1415, 1421], "stanford": [16, 35, 66, 70, 72, 568, 693, 1274], "analysi": [16, 24, 48, 51, 53, 56, 87, 101, 102, 104, 106, 108, 111, 229, 233, 258, 259, 260, 261, 262, 263, 287, 289, 290, 300, 306, 381, 385, 414, 433, 439, 464, 496, 502, 621, 693, 753, 760, 762, 764, 1045, 1207, 1239, 1331, 1414, 1418, 1419, 1421, 1423, 1436], "uniqu": [16, 28, 239, 256, 279, 312, 313, 380, 462, 466, 471, 561, 562, 567, 587, 589, 602, 606, 620, 621, 643, 645, 693, 734, 750, 936, 982, 1050, 1250, 1256, 1257, 1302, 1332, 1349, 1365, 1366, 1369, 1370, 1387, 1388, 1436], "combin": [16, 62, 103, 106, 205, 208, 381, 382, 387, 413, 414, 418, 420, 425, 577, 600, 602, 606, 680, 693, 893, 894, 930, 976, 1013, 1395, 1417], "type": [16, 71, 94, 96, 98, 101, 102, 103, 104, 105, 111, 166, 209, 242, 243, 244, 245, 248, 267, 268, 270, 271, 272, 274, 275, 277, 283, 284, 297, 302, 303, 304, 309, 310, 316, 324, 352, 353, 431, 498, 551, 552, 553, 557, 586, 587, 589, 590, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 654, 660, 673, 674, 675, 676, 692, 693, 695, 697, 713, 724, 750, 751, 752, 788, 864, 909, 945, 991, 1044, 1046, 1050, 1090, 1094, 1095, 1096, 1097, 1100, 1101, 1102, 1103, 1104, 1105, 1107, 1108, 1113, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1196, 1197, 1198, 1206, 1207, 1208, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1284, 1285, 1287, 1304, 1331, 1332, 1338, 1339, 1342, 1343, 1344, 1348, 1351, 1354, 1355, 1356, 1362, 1363, 1364, 1376, 1377, 1390, 1394, 1398, 1402, 1404, 1413, 1415, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1434, 1436], "other": [16, 17, 25, 42, 44, 51, 53, 57, 58, 59, 84, 89, 92, 93, 94, 95, 98, 100, 101, 102, 103, 104, 105, 106, 108, 110, 111, 116, 133, 135, 166, 209, 215, 216, 217, 227, 231, 232, 233, 236, 257, 259, 265, 268, 269, 283, 289, 290, 295, 298, 299, 306, 317, 321, 323, 325, 326, 329, 354, 360, 368, 375, 398, 399, 430, 454, 455, 462, 464, 475, 493, 504, 505, 508, 509, 529, 539, 561, 562, 567, 590, 604, 634, 635, 637, 638, 643, 655, 662, 663, 664, 667, 668, 669, 670, 671, 677, 678, 690, 693, 703, 725, 726, 727, 728, 736, 737, 738, 739, 753, 754, 764, 791, 793, 798, 864, 909, 945, 950, 991, 996, 1040, 1041, 1042, 1043, 1045, 1057, 1105, 1106, 1117, 1119, 1129, 1139, 1151, 1153, 1157, 1160, 1171, 1180, 1186, 1192, 1200, 1201, 1203, 1204, 1228, 1235, 1275, 1284, 1285, 1287, 1292, 1295, 1297, 1299, 1302, 1308, 1330, 1331, 1332, 1334, 1343, 1344, 1345, 1351, 1354, 1355, 1356, 1387, 1388, 1390, 1391, 1403, 1405, 1407, 1412, 1413, 1414, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1426, 1434, 1436], "produc": [16, 45, 50, 104, 116, 227, 247, 248, 273, 281, 298, 299, 307, 308, 316, 317, 327, 331, 332, 348, 424, 462, 567, 603, 614, 631, 634, 635, 637, 638, 679, 680, 682, 693, 788, 1100, 1105, 1106, 1108, 1128, 1171, 1185, 1187, 1195, 1218, 1242, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1401, 1408, 1415, 1417, 1425, 1426], "infer": [16, 697, 1107, 1121, 1364, 1421], "differ": [16, 26, 28, 29, 34, 42, 54, 55, 58, 64, 72, 87, 93, 94, 95, 96, 100, 104, 113, 162, 165, 166, 205, 208, 216, 217, 224, 281, 283, 298, 299, 315, 316, 328, 332, 336, 337, 339, 343, 360, 363, 373, 374, 375, 376, 380, 412, 415, 416, 417, 437, 439, 511, 513, 514, 595, 604, 617, 706, 719, 720, 740, 752, 760, 774, 788, 864, 893, 894, 909, 930, 945, 975, 976, 991, 1013, 1105, 1108, 1139, 1171, 1175, 1176, 1177, 1199, 1204, 1213, 1261, 1275, 1293, 1302, 1332, 1371, 1372, 1390, 1403, 1413, 1414, 1415, 1422, 1423, 1434, 1436], "relat": [16, 35, 68, 93, 94, 96, 100, 101, 116, 130, 133, 221, 231, 298, 368, 372, 588, 590, 621, 690, 764, 769, 797, 1208, 1211, 1275, 1329, 1404, 1411, 1415, 1422, 1425, 1434], "strong": [16, 399, 513, 514, 519, 612, 621, 693, 701, 760, 1417], "weak": [16, 400, 693, 760, 1434], "number_of_nod": [16, 26, 81, 157, 188, 312, 325, 339, 385, 566, 583, 854, 857, 878, 899, 902, 921, 935, 938, 960, 981, 984, 1004, 1160, 1277, 1436], "7482934": 16, "_": [16, 17, 27, 39, 94, 301, 335, 351, 358, 374, 407, 408, 427, 428, 504, 505, 508, 509, 571, 590, 632, 1222, 1358, 1360, 1384, 1386, 1420], "edge_type_visual_weight_lookup": 16, "edge_weight": [16, 384, 585], "node_attribut": [16, 693], "edge_attribut": [16, 284, 693, 1104], "summary_graph": [16, 693], "snap_aggreg": [16, 760, 1422], "prefix": [16, 68, 514, 692, 693, 1278, 1332, 1353, 1422, 1430], "aggreg": [16, 513, 514, 693, 788], "summary_po": 16, "8375428": 16, "edge_typ": 16, "get_edge_data": [16, 26, 1420], "207": [16, 18, 338, 740], "plot_snap": [16, 18], "support": [17, 53, 78, 93, 94, 97, 101, 102, 103, 104, 227, 309, 323, 341, 342, 344, 345, 358, 375, 412, 413, 414, 420, 421, 466, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 599, 628, 629, 634, 635, 637, 638, 692, 740, 764, 777, 788, 798, 1040, 1041, 1042, 1043, 1117, 1119, 1152, 1308, 1332, 1347, 1348, 1350, 1359, 1360, 1361, 1362, 1363, 1364, 1385, 1386, 1389, 1391, 1395, 1403, 1404, 1405, 1407, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "unsupport": 17, "contain": [17, 26, 35, 46, 66, 70, 72, 89, 100, 103, 105, 115, 116, 145, 152, 153, 158, 159, 166, 167, 168, 169, 173, 176, 177, 178, 181, 189, 190, 194, 196, 200, 208, 213, 215, 221, 227, 237, 238, 239, 241, 242, 244, 246, 249, 250, 253, 254, 256, 257, 258, 259, 260, 261, 265, 267, 268, 271, 278, 279, 281, 282, 291, 294, 295, 300, 316, 321, 323, 340, 346, 348, 349, 352, 354, 355, 356, 357, 359, 360, 362, 375, 379, 381, 382, 383, 390, 402, 410, 416, 417, 429, 434, 435, 439, 442, 459, 483, 484, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 514, 515, 516, 518, 551, 552, 566, 570, 574, 576, 591, 595, 598, 601, 604, 623, 626, 633, 634, 654, 658, 660, 662, 663, 664, 689, 690, 691, 697, 725, 726, 727, 728, 751, 788, 798, 855, 856, 858, 859, 864, 865, 866, 867, 870, 871, 872, 873, 879, 880, 884, 886, 889, 894, 900, 901, 903, 904, 909, 910, 911, 912, 915, 916, 923, 925, 927, 930, 936, 937, 939, 940, 945, 946, 947, 948, 951, 952, 953, 954, 961, 962, 966, 968, 971, 976, 982, 983, 985, 986, 991, 992, 993, 994, 997, 998, 1006, 1008, 1010, 1013, 1040, 1041, 1042, 1043, 1044, 1045, 1055, 1056, 1057, 1064, 1069, 1088, 1089, 1090, 1097, 1100, 1103, 1105, 1106, 1108, 1109, 1121, 1133, 1146, 1156, 1157, 1158, 1160, 1163, 1170, 1179, 1206, 1207, 1212, 1213, 1214, 1217, 1257, 1292, 1302, 1303, 1304, 1308, 1328, 1329, 1330, 1332, 1337, 1340, 1358, 1362, 1365, 1366, 1369, 1370, 1377, 1384, 1398, 1404, 1412, 1413, 1415, 1416, 1418, 1420, 1421, 1423, 1432, 1434, 1436], "entir": [17, 96, 102, 166, 180, 185, 261, 362, 377, 579, 864, 875, 909, 918, 945, 957, 991, 1001, 1041, 1088, 1103, 1231, 1415, 1418], "adopt": [17, 97, 99, 102, 103, 108, 1414, 1423], "lobpcg": [17, 92, 1281, 1282, 1283], "python_exampl": 17, "graph_partit": 17, "categor": [17, 548, 549, 550, 613], "node_typ": [17, 1348, 1362, 1363], "supported_nod": 17, "unsupported_nod": 17, "remove_edges_from": [17, 90, 193, 455, 604, 883, 922, 965, 1005, 1181, 1183, 1228, 1402, 1403, 1421, 1429, 1434, 1436], "nbr": [17, 89, 160, 191, 200, 201, 208, 230, 231, 232, 286, 502, 508, 798, 860, 881, 889, 890, 894, 905, 927, 930, 941, 963, 971, 972, 976, 987, 1010, 1013, 1040, 1042, 1043, 1097, 1332, 1413, 1436], "adj": [17, 89, 200, 201, 208, 325, 326, 798, 851, 889, 890, 894, 896, 917, 927, 930, 932, 963, 971, 972, 976, 978, 999, 1010, 1013, 1040, 1042, 1043, 1097, 1332, 1413, 1420, 1426, 1434, 1436], "g_minus_h": 17, "strip": [17, 26, 70, 1221], "_node_color": 17, "_po": 17, "draw_networkx_edg": [17, 26, 27, 28, 29, 34, 36, 39, 40, 41, 42, 45, 47, 69, 84, 1136, 1139, 1140, 1142, 1143, 1420, 1422, 1434], "draw_networkx_label": [17, 26, 36, 39, 47, 72, 1136, 1139, 1140, 1141, 1143], "ncl": 17, "undirect": [17, 26, 35, 72, 94, 113, 178, 186, 205, 206, 210, 212, 213, 215, 216, 217, 218, 219, 220, 221, 222, 225, 228, 229, 230, 231, 232, 233, 238, 240, 241, 247, 248, 265, 268, 276, 278, 279, 281, 282, 294, 295, 296, 298, 299, 301, 314, 316, 319, 320, 322, 323, 330, 332, 333, 334, 335, 339, 340, 343, 347, 348, 349, 350, 351, 352, 354, 355, 373, 374, 381, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 430, 432, 433, 439, 441, 442, 452, 465, 466, 467, 468, 469, 480, 481, 482, 483, 484, 487, 488, 489, 490, 492, 493, 494, 502, 561, 562, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 583, 584, 585, 592, 596, 597, 600, 602, 603, 607, 608, 609, 612, 613, 615, 617, 620, 621, 626, 627, 654, 660, 683, 684, 685, 686, 688, 689, 690, 691, 694, 696, 719, 720, 729, 732, 733, 734, 736, 737, 738, 739, 740, 744, 745, 755, 762, 763, 764, 769, 781, 793, 876, 893, 919, 929, 958, 975, 1002, 1012, 1039, 1041, 1059, 1063, 1091, 1093, 1101, 1104, 1118, 1127, 1128, 1129, 1139, 1141, 1152, 1172, 1173, 1179, 1181, 1188, 1190, 1193, 1195, 1196, 1197, 1199, 1202, 1203, 1204, 1205, 1208, 1212, 1213, 1223, 1225, 1236, 1249, 1250, 1253, 1256, 1257, 1258, 1260, 1265, 1279, 1281, 1282, 1284, 1285, 1288, 1304, 1329, 1332, 1333, 1339, 1347, 1348, 1350, 1357, 1358, 1359, 1360, 1377, 1383, 1384, 1385, 1386, 1387, 1389, 1391, 1397, 1398, 1404, 1410, 1411, 1413, 1415, 1417, 1420, 1423, 1426, 1436], "And": [17, 24, 48, 87, 94, 102, 108, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 469, 504, 505, 508, 509, 690, 1045, 1302, 1303, 1334, 1417, 1418, 1420, 1425, 1434], "specifi": [17, 25, 26, 63, 103, 152, 153, 158, 159, 168, 185, 186, 194, 208, 223, 224, 227, 233, 237, 239, 241, 242, 244, 245, 247, 248, 249, 261, 265, 267, 268, 269, 270, 272, 274, 277, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 300, 306, 311, 312, 321, 325, 328, 331, 340, 350, 351, 355, 358, 359, 376, 379, 412, 413, 414, 415, 416, 417, 420, 421, 435, 437, 438, 442, 444, 445, 446, 447, 449, 450, 451, 460, 475, 493, 496, 497, 500, 501, 512, 520, 554, 555, 556, 557, 566, 567, 568, 577, 579, 586, 590, 599, 603, 606, 610, 611, 637, 638, 662, 673, 674, 675, 676, 678, 688, 693, 694, 706, 707, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 723, 724, 753, 762, 855, 856, 858, 859, 866, 875, 876, 884, 894, 900, 901, 903, 904, 911, 918, 919, 923, 930, 936, 937, 939, 940, 947, 949, 950, 957, 958, 965, 966, 976, 982, 983, 985, 986, 993, 995, 996, 1001, 1002, 1005, 1006, 1013, 1045, 1046, 1064, 1073, 1074, 1075, 1084, 1097, 1098, 1099, 1101, 1102, 1107, 1120, 1136, 1139, 1140, 1141, 1142, 1143, 1157, 1160, 1171, 1181, 1183, 1184, 1187, 1188, 1195, 1199, 1202, 1203, 1204, 1205, 1208, 1213, 1216, 1217, 1218, 1225, 1228, 1241, 1248, 1281, 1282, 1283, 1284, 1285, 1300, 1301, 1302, 1303, 1306, 1321, 1329, 1330, 1332, 1334, 1337, 1340, 1342, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1354, 1355, 1356, 1362, 1363, 1366, 1369, 1370, 1387, 1388, 1390, 1402, 1406, 1407, 1408, 1411, 1412, 1413, 1415, 1416, 1421, 1425, 1436], "to_undirect": [17, 26, 70, 798, 1040, 1042, 1043, 1188, 1190, 1413, 1422, 1436], "magenta": 17, "six": 17, "classifi": [17, 514, 686, 752], "four": [17, 24, 48, 87, 100, 103, 166, 264, 587, 589, 694, 864, 909, 945, 991, 1042, 1043, 1170, 1199, 1205, 1217, 1329, 1416, 1417, 1423, 1436], "green": [17, 33, 39, 71, 94, 116, 466, 600, 762, 1045, 1308, 1336, 1403, 1421, 1436], "goal": [17, 89, 93, 100, 106, 108, 128, 385, 628, 629, 719, 720, 1045], "g_ex": 17, "m": [17, 26, 29, 31, 32, 64, 66, 68, 92, 94, 97, 103, 107, 111, 113, 129, 182, 192, 202, 210, 212, 213, 220, 228, 232, 236, 237, 239, 240, 241, 242, 244, 245, 249, 258, 259, 260, 264, 273, 275, 276, 279, 281, 283, 285, 294, 295, 297, 301, 302, 303, 309, 310, 316, 317, 318, 332, 340, 343, 345, 347, 354, 357, 358, 363, 364, 372, 382, 385, 387, 414, 431, 433, 434, 435, 453, 464, 481, 496, 500, 501, 511, 512, 513, 514, 521, 547, 557, 571, 584, 586, 587, 589, 590, 608, 616, 621, 627, 654, 660, 661, 686, 688, 693, 694, 708, 750, 751, 763, 764, 777, 874, 882, 891, 955, 964, 973, 1063, 1157, 1161, 1163, 1175, 1181, 1183, 1185, 1187, 1205, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1217, 1219, 1221, 1222, 1224, 1225, 1226, 1228, 1229, 1232, 1235, 1236, 1237, 1239, 1240, 1241, 1246, 1262, 1271, 1275, 1277, 1284, 1285, 1286, 1293, 1294, 1298, 1329, 1395, 1415, 1418, 1436], "node_color_list": 17, "nc": [17, 57], "spectral_layout": [17, 44, 1147, 1408, 1415], "subgraphs_of_g_ex": 17, "removed_edg": 17, "node_color_list_c": 17, "One": [17, 53, 56, 102, 103, 104, 116, 348, 547, 561, 562, 681, 686, 763, 1183, 1192, 1278, 1321, 1332, 1413, 1436], "g_ex_r": 17, "compos": [17, 270, 271, 272, 273, 274, 275, 276, 277, 602, 606, 760, 1409, 1415, 1416, 1426, 1432, 1434], "previous": [17, 92, 109, 113, 323, 616, 1188, 1189, 1190, 1404, 1416, 1426], "store": [17, 26, 40, 54, 55, 56, 58, 68, 87, 94, 98, 102, 103, 111, 159, 220, 221, 284, 291, 347, 348, 349, 433, 472, 473, 474, 475, 476, 477, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 587, 589, 617, 662, 666, 669, 721, 735, 741, 764, 788, 798, 859, 904, 940, 986, 1040, 1041, 1042, 1043, 1045, 1049, 1088, 1089, 1104, 1105, 1107, 1171, 1176, 1199, 1202, 1203, 1204, 1205, 1219, 1221, 1284, 1300, 1302, 1336, 1339, 1340, 1351, 1354, 1355, 1356, 1365, 1366, 1369, 1370, 1371, 1372, 1377, 1390, 1396, 1398, 1403, 1413, 1423], "assert": [17, 68, 89, 103, 1420, 1423, 1433, 1436], "is_isomorph": [17, 586, 587, 589, 590, 610, 673, 692, 741, 760, 763, 764, 1408, 1415], "700": [17, 18, 47], "plot_subgraph": [17, 18, 1423], "27": [18, 65, 67, 69, 103, 227, 236, 267, 302, 303, 309, 310, 328, 348, 360, 385, 386, 437, 438, 455, 705, 1264, 1301, 1342, 1412], "401": [18, 70], "auto_examples_algorithm": 18, "03": [18, 22, 26, 60, 73, 86, 113, 218, 275, 301], "read": [19, 23, 26, 41, 53, 55, 56, 58, 59, 66, 76, 87, 94, 95, 101, 106, 116, 160, 166, 168, 191, 201, 268, 585, 620, 798, 860, 864, 866, 881, 890, 905, 909, 911, 941, 945, 947, 949, 963, 972, 987, 991, 993, 995, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1038, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1064, 1069, 1085, 1086, 1091, 1124, 1149, 1150, 1276, 1302, 1331, 1332, 1335, 1336, 1339, 1343, 1344, 1348, 1349, 1351, 1354, 1355, 1356, 1357, 1358, 1360, 1362, 1363, 1373, 1374, 1377, 1381, 1383, 1384, 1386, 1389, 1390, 1391, 1394, 1395, 1396, 1397, 1398, 1403, 1404, 1406, 1407, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1422, 1423, 1427, 1433], "write": [19, 23, 50, 53, 76, 77, 78, 87, 90, 94, 100, 106, 111, 116, 268, 269, 472, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1045, 1050, 1126, 1129, 1135, 1306, 1331, 1332, 1335, 1336, 1340, 1343, 1345, 1346, 1350, 1351, 1354, 1355, 1356, 1358, 1360, 1363, 1364, 1378, 1381, 1382, 1384, 1386, 1387, 1388, 1389, 1390, 1391, 1395, 1396, 1398, 1404, 1406, 1407, 1408, 1410, 1411, 1414, 1415, 1420, 1421, 1423, 1434, 1436], "simpl": [19, 23, 24, 33, 48, 87, 94, 95, 98, 101, 104, 110, 111, 133, 185, 221, 230, 231, 232, 250, 288, 294, 301, 305, 314, 322, 330, 334, 335, 340, 345, 373, 374, 375, 382, 383, 425, 427, 440, 454, 455, 470, 481, 483, 484, 492, 498, 502, 506, 507, 510, 516, 519, 520, 596, 610, 626, 634, 679, 680, 681, 682, 688, 695, 760, 777, 782, 798, 875, 918, 957, 1001, 1040, 1041, 1042, 1043, 1101, 1102, 1103, 1136, 1139, 1181, 1183, 1186, 1187, 1213, 1214, 1215, 1216, 1223, 1225, 1228, 1258, 1275, 1302, 1329, 1331, 1332, 1334, 1336, 1357, 1358, 1359, 1360, 1387, 1390, 1396, 1404, 1410, 1413, 1415, 1416, 1421, 1422, 1430, 1436], "lollipop": [20, 1163, 1436], "vertex": [20, 116, 212, 236, 250, 282, 290, 316, 323, 332, 340, 361, 362, 375, 389, 396, 399, 429, 430, 434, 440, 479, 493, 582, 608, 617, 618, 621, 624, 625, 626, 690, 691, 760, 1170, 1191, 1196, 1212, 1224, 1225, 1228, 1257, 1329, 1332, 1409, 1415, 1416], "length": [20, 40, 53, 68, 103, 121, 152, 233, 289, 296, 298, 299, 300, 307, 308, 311, 315, 316, 317, 321, 323, 328, 329, 331, 332, 334, 335, 343, 345, 347, 348, 349, 373, 374, 385, 386, 453, 461, 464, 469, 471, 472, 475, 515, 517, 518, 519, 522, 523, 593, 594, 629, 630, 631, 632, 634, 635, 638, 639, 640, 642, 643, 644, 645, 646, 648, 649, 650, 651, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 667, 668, 669, 670, 671, 672, 679, 680, 681, 684, 686, 730, 732, 781, 784, 788, 855, 900, 936, 982, 1085, 1111, 1127, 1128, 1129, 1139, 1140, 1141, 1142, 1143, 1152, 1155, 1157, 1162, 1185, 1201, 1209, 1212, 1214, 1218, 1223, 1227, 1269, 1279, 1321, 1322, 1407, 1415, 1416, 1420, 1423], "averag": [20, 59, 214, 240, 241, 261, 290, 300, 315, 357, 358, 411, 487, 488, 489, 635, 656, 684, 686, 760, 784, 1171, 1240, 1294, 1403, 1410, 1415, 1420, 1425, 1434], "86": [20, 762, 1416], "radiu": [20, 45, 135, 473, 655, 760, 1127, 1128, 1129, 1141, 1195, 1200, 1202, 1203, 1204], "diamet": [20, 135, 476, 481, 482, 760, 1201, 1257, 1422], "eccentr": [20, 135, 218, 473, 474, 476, 477, 760, 1415, 1425], "peripheri": [20, 44, 472, 473, 760], "densiti": [20, 116, 221, 253, 262, 263, 375, 590, 1179, 1181, 1199, 1203, 1410, 1415], "26666666666666666": 20, "lollipop_graph": [20, 392, 1114, 1337, 1341, 1375, 1436], "pathlength": 20, "spl": 20, "dict": [20, 26, 40, 55, 58, 59, 68, 89, 102, 103, 108, 110, 145, 146, 149, 158, 160, 161, 166, 169, 170, 177, 180, 185, 190, 191, 196, 198, 201, 203, 205, 208, 221, 238, 240, 241, 253, 291, 310, 311, 331, 336, 338, 348, 355, 410, 413, 414, 418, 424, 429, 472, 475, 483, 484, 498, 504, 514, 547, 563, 565, 567, 568, 577, 579, 580, 581, 582, 590, 616, 630, 633, 638, 639, 640, 642, 644, 646, 647, 648, 649, 650, 651, 664, 668, 671, 689, 690, 693, 707, 708, 709, 715, 717, 751, 752, 762, 798, 851, 858, 860, 861, 864, 867, 872, 875, 880, 881, 886, 890, 892, 893, 894, 896, 903, 905, 906, 909, 912, 918, 925, 928, 929, 930, 932, 933, 937, 939, 941, 942, 945, 948, 949, 953, 957, 962, 963, 968, 972, 974, 975, 976, 978, 979, 983, 985, 987, 988, 991, 994, 995, 1001, 1008, 1011, 1012, 1013, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1041, 1042, 1043, 1044, 1045, 1048, 1050, 1088, 1089, 1094, 1097, 1100, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1123, 1125, 1127, 1128, 1129, 1132, 1140, 1142, 1199, 1202, 1203, 1204, 1213, 1214, 1219, 1301, 1302, 1308, 1309, 1313, 1330, 1332, 1351, 1354, 1355, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1390, 1402, 1403, 1404, 1411, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1424, 1425, 1434, 1436], "single_source_shortest_path_length": [20, 40, 638, 646], "histogram": [20, 28, 32, 63, 65, 513, 1321], "dist": [20, 35, 45, 57, 58, 107, 628, 649, 654, 658, 660, 1111, 1199, 1203, 1205, 1423], "vert": 20, "3068": 20, "093": [20, 23, 67, 73], "plot_properti": [20, 23], "5x5": [21, 77], "generate_adjlist": [21, 64, 1340, 1392], "write_edgelist": [21, 268, 1343, 1346, 1392], "delimit": [21, 41, 266, 267, 268, 269, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1375, 1376, 1377, 1378], "200": [21, 40, 45, 71, 1420, 1421], "067": [21, 23, 30, 48, 75, 79], "plot_read_writ": [21, 23], "manual": [22, 25, 26, 68, 102, 112, 205, 458, 463, 893, 975, 1223, 1326, 1327, 1367, 1368, 1416, 1422], "explicitli": [22, 34, 93, 104, 105, 110, 112, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 511, 512, 793, 1101, 1102, 1104, 1127, 1128, 1129, 1141, 1171, 1332, 1351, 1354, 1355, 1356, 1390, 1411, 1413, 1416, 1420, 1421, 1429, 1434], "255": 22, "3000": [22, 34], "aren": [22, 33, 94, 950, 966, 996, 1006], "clip": [22, 33, 55, 98, 1140, 1142, 1143, 1422], "gca": [22, 29, 34, 46, 47], "direct": [22, 24, 26, 46, 48, 53, 55, 68, 70, 71, 83, 87, 89, 93, 94, 96, 100, 102, 106, 110, 111, 117, 129, 142, 160, 161, 162, 165, 166, 169, 178, 182, 186, 190, 192, 197, 201, 202, 203, 204, 205, 206, 210, 211, 212, 213, 215, 216, 217, 218, 221, 225, 228, 233, 236, 240, 241, 242, 243, 244, 245, 248, 273, 276, 283, 288, 294, 295, 296, 298, 299, 300, 307, 308, 312, 313, 315, 316, 317, 325, 326, 327, 329, 332, 336, 337, 338, 339, 358, 381, 382, 387, 390, 393, 394, 397, 398, 399, 400, 401, 402, 405, 406, 407, 408, 409, 412, 413, 414, 416, 417, 419, 420, 421, 424, 425, 426, 427, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 442, 444, 445, 449, 450, 452, 454, 455, 456, 457, 459, 460, 461, 462, 464, 465, 466, 467, 468, 469, 470, 471, 483, 484, 490, 493, 494, 498, 502, 503, 506, 507, 510, 515, 521, 524, 525, 526, 561, 566, 567, 568, 577, 578, 579, 590, 591, 592, 596, 597, 600, 602, 603, 607, 608, 609, 611, 612, 613, 615, 617, 623, 627, 635, 638, 654, 660, 678, 680, 689, 690, 691, 692, 695, 696, 699, 700, 701, 702, 703, 704, 706, 710, 719, 720, 721, 723, 724, 734, 735, 742, 743, 744, 745, 749, 751, 752, 754, 755, 760, 763, 764, 771, 778, 781, 788, 791, 793, 860, 861, 864, 867, 874, 876, 880, 882, 887, 890, 891, 892, 893, 905, 906, 909, 912, 919, 928, 941, 942, 945, 948, 950, 955, 958, 962, 964, 966, 969, 972, 973, 974, 975, 987, 988, 991, 994, 996, 1002, 1005, 1006, 1011, 1038, 1039, 1040, 1041, 1043, 1058, 1063, 1070, 1086, 1091, 1092, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1115, 1116, 1118, 1120, 1127, 1128, 1129, 1138, 1139, 1141, 1158, 1172, 1173, 1174, 1175, 1176, 1179, 1183, 1184, 1186, 1188, 1190, 1191, 1192, 1195, 1196, 1197, 1198, 1201, 1213, 1214, 1219, 1221, 1222, 1223, 1230, 1234, 1236, 1237, 1238, 1250, 1276, 1278, 1281, 1282, 1287, 1288, 1289, 1290, 1293, 1301, 1304, 1331, 1332, 1339, 1347, 1348, 1350, 1351, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1367, 1368, 1369, 1370, 1377, 1385, 1386, 1387, 1389, 1391, 1397, 1402, 1404, 1406, 1407, 1410, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1425, 1426, 1434], "column": [22, 55, 283, 301, 327, 567, 631, 678, 1103, 1105, 1106, 1107, 1108, 1115, 1219, 1221, 1277, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1329, 1404, 1415, 1420, 1421], "left_nod": 22, "middle_nod": 22, "right_nod": 22, "accord": [22, 71, 95, 101, 104, 198, 234, 241, 283, 290, 327, 347, 379, 382, 387, 567, 568, 590, 621, 672, 692, 693, 730, 731, 733, 1105, 1106, 1108, 1171, 1179, 1191, 1192, 1228, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1301, 1350, 1354, 1355, 1398, 1422], "coord": [22, 35], "updat": [22, 94, 95, 96, 100, 102, 103, 107, 112, 152, 153, 157, 158, 159, 200, 205, 234, 323, 339, 364, 368, 372, 375, 380, 462, 502, 508, 513, 600, 602, 606, 628, 629, 694, 798, 855, 856, 857, 858, 859, 889, 893, 900, 901, 902, 903, 904, 927, 936, 937, 938, 939, 940, 971, 982, 983, 984, 985, 986, 1010, 1040, 1042, 1043, 1088, 1089, 1125, 1302, 1308, 1401, 1402, 1403, 1407, 1408, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1436], "399": [22, 23, 26, 48, 689, 691], "plot_simple_graph": [22, 23], "558": 23, "auto_examples_bas": 23, "custom": [24, 33, 34, 36, 48, 87, 103, 116, 205, 286, 466, 548, 549, 550, 554, 555, 556, 558, 559, 560, 706, 708, 709, 710, 798, 893, 936, 937, 982, 983, 1040, 1042, 1043, 1097, 1103, 1199, 1203, 1204, 1208, 1308, 1391, 1416, 1417, 1421, 1422, 1436], "chess": [24, 48, 87, 1415], "master": [24, 48, 87, 478, 1415], "icon": [24, 48, 87, 94, 1422], "ego": [24, 48, 87, 306, 690, 1331, 1415, 1416], "eigenvalu": [24, 48, 87, 312, 313, 314, 325, 326, 327, 334, 373, 568, 595, 1118, 1197, 1281, 1282, 1283, 1295, 1296, 1297, 1298, 1299, 1333, 1415, 1422], "hous": [24, 48, 87, 1258, 1259, 1422], "With": [24, 48, 55, 87, 102, 104, 111, 339, 513, 762, 1121, 1136, 1190, 1235, 1303, 1336, 1344, 1396, 1403, 1411, 1413, 1414, 1416], "knuth": [24, 48, 70, 72, 87, 457, 1232, 1274, 1308, 1422], "mile": [24, 48, 87, 1415, 1422], "multipartit": [24, 48, 87, 1112, 1157, 1168, 1404, 1415, 1416, 1422], "rainbow": [24, 48, 87, 1422], "geometr": [24, 48, 87, 106, 358, 1202, 1203, 1204, 1270, 1331, 1416, 1417, 1422, 1434], "sampson": [24, 48, 87, 1415], "self": [24, 46, 48, 53, 70, 87, 89, 90, 102, 153, 159, 169, 177, 181, 190, 225, 247, 248, 305, 322, 330, 333, 337, 347, 348, 349, 357, 358, 362, 434, 435, 436, 437, 438, 439, 440, 455, 469, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 521, 569, 577, 586, 587, 589, 595, 614, 621, 627, 677, 702, 737, 739, 856, 859, 867, 872, 873, 880, 901, 904, 912, 916, 937, 940, 948, 953, 954, 961, 962, 983, 986, 994, 998, 1041, 1063, 1078, 1105, 1106, 1108, 1127, 1128, 1129, 1141, 1179, 1181, 1183, 1185, 1191, 1199, 1202, 1203, 1204, 1205, 1223, 1228, 1245, 1287, 1331, 1332, 1336, 1359, 1360, 1397, 1410, 1412, 1415, 1417, 1420, 1421, 1422, 1423, 1426, 1434], "loop": [24, 46, 48, 53, 70, 87, 225, 231, 232, 247, 248, 305, 322, 330, 333, 347, 348, 349, 357, 358, 362, 434, 435, 436, 437, 438, 439, 440, 451, 452, 453, 455, 469, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 569, 586, 587, 589, 595, 614, 621, 627, 702, 737, 739, 1041, 1046, 1063, 1078, 1105, 1106, 1108, 1127, 1128, 1129, 1141, 1179, 1181, 1183, 1185, 1191, 1199, 1202, 1203, 1204, 1205, 1213, 1216, 1223, 1228, 1242, 1245, 1287, 1331, 1332, 1336, 1359, 1360, 1397, 1410, 1412, 1415, 1417, 1420, 1422, 1423, 1430], "spectral": [24, 48, 87, 291, 334, 373, 444, 446, 449, 450, 760, 1147, 1275, 1283, 1286, 1292, 1296, 1331, 1411, 1415, 1417], "embed": [24, 48, 87, 162, 165, 170, 616, 617, 618, 1127, 1129, 1219, 1221, 1417], "travel": [24, 48, 53, 57, 87, 100, 106, 228, 229, 230, 231, 232, 233, 760, 1422, 1423], "salesman": [24, 48, 87, 106, 228, 229, 230, 231, 232, 233, 760, 1422, 1423], "problem": [24, 48, 87, 93, 94, 105, 106, 115, 122, 211, 213, 219, 222, 227, 228, 229, 230, 231, 232, 233, 236, 279, 281, 348, 349, 354, 415, 424, 496, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 569, 572, 573, 591, 621, 655, 662, 669, 673, 674, 675, 676, 700, 701, 764, 769, 772, 782, 1046, 1103, 1288, 1306, 1337, 1340, 1404, 1411, 1415, 1416, 1417, 1420, 1422, 1423], "unix": [24, 48, 87], "email": [24, 48, 87, 93, 100, 105, 1415, 1417], "locat": [25, 35, 69, 94, 112, 1123, 1132, 1303, 1415], "neatli": 25, "organis": 25, "path_graph": [25, 43, 89, 102, 103, 161, 163, 164, 166, 168, 171, 172, 173, 185, 186, 187, 188, 194, 195, 196, 199, 200, 205, 208, 239, 240, 241, 242, 245, 252, 255, 256, 257, 262, 263, 266, 268, 269, 285, 287, 288, 289, 291, 312, 313, 325, 326, 344, 376, 394, 396, 397, 398, 409, 424, 458, 463, 516, 566, 568, 570, 587, 589, 590, 591, 593, 594, 601, 604, 608, 610, 628, 635, 637, 638, 639, 640, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 666, 667, 668, 669, 670, 671, 698, 706, 707, 708, 709, 710, 711, 712, 714, 715, 716, 717, 718, 732, 754, 762, 763, 764, 772, 798, 850, 851, 853, 854, 861, 862, 863, 864, 866, 868, 869, 870, 875, 876, 877, 878, 884, 885, 886, 888, 889, 893, 894, 895, 896, 898, 899, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 929, 930, 931, 932, 934, 935, 942, 943, 944, 945, 947, 951, 957, 959, 960, 966, 967, 968, 970, 971, 975, 976, 977, 978, 980, 981, 988, 989, 990, 991, 993, 997, 999, 1001, 1003, 1004, 1006, 1007, 1008, 1009, 1010, 1013, 1039, 1040, 1042, 1043, 1045, 1064, 1066, 1069, 1075, 1085, 1088, 1089, 1091, 1097, 1110, 1111, 1113, 1117, 1118, 1119, 1120, 1144, 1223, 1301, 1326, 1327, 1334, 1339, 1340, 1343, 1345, 1347, 1350, 1355, 1356, 1359, 1360, 1361, 1362, 1364, 1367, 1377, 1378, 1381, 1382, 1385, 1386, 1395, 1402, 1413, 1414, 1425, 1436], "center_nod": [25, 754], "Or": [25, 94, 104, 112, 229, 348, 496, 580, 1127, 1128, 1129, 1436], "ani": [25, 35, 39, 53, 56, 57, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 105, 106, 108, 111, 112, 115, 153, 157, 166, 168, 171, 181, 207, 221, 227, 228, 229, 230, 231, 232, 233, 250, 279, 282, 290, 292, 293, 294, 295, 315, 316, 332, 340, 345, 384, 389, 391, 392, 396, 398, 420, 421, 424, 451, 456, 459, 466, 467, 472, 479, 480, 481, 502, 504, 505, 508, 509, 514, 519, 563, 564, 565, 567, 568, 581, 586, 587, 588, 589, 590, 617, 618, 619, 627, 634, 635, 637, 638, 654, 660, 662, 663, 664, 665, 680, 688, 690, 693, 695, 696, 741, 754, 763, 793, 798, 852, 856, 857, 864, 866, 868, 873, 897, 901, 902, 909, 911, 913, 916, 933, 937, 938, 945, 947, 949, 954, 979, 983, 984, 991, 993, 995, 998, 1040, 1041, 1042, 1043, 1048, 1050, 1064, 1085, 1090, 1097, 1100, 1125, 1128, 1171, 1176, 1178, 1181, 1183, 1199, 1203, 1205, 1223, 1301, 1302, 1304, 1306, 1308, 1309, 1330, 1332, 1334, 1342, 1351, 1354, 1355, 1356, 1357, 1387, 1388, 1390, 1402, 1413, 1414, 1422, 1423, 1436], "edge_nod": 25, "ensur": [25, 35, 93, 94, 95, 101, 103, 108, 110, 128, 232, 300, 585, 683, 685, 730, 791, 956, 1000, 1120, 1306, 1334, 1413, 1416, 1417, 1421, 1434], "around": [25, 39, 95, 100, 105, 514, 692, 788, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1404, 1414, 1421, 1422, 1434], "circl": [25, 39, 78, 1110, 1117, 1421], "evenli": 25, "distribut": [25, 28, 108, 111, 133, 228, 237, 242, 328, 333, 337, 375, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 514, 567, 568, 695, 740, 1171, 1174, 1181, 1183, 1192, 1199, 1202, 1203, 1204, 1205, 1215, 1240, 1243, 1244, 1284, 1285, 1320, 1321, 1322, 1325, 1411, 1415], "circular_layout": [25, 38, 39, 42, 98, 1045, 1111, 1137, 1141, 1332], "072": [25, 48], "plot_center_nod": [25, 48], "multidigraph": [26, 46, 53, 57, 89, 103, 152, 153, 157, 158, 159, 161, 163, 164, 166, 167, 169, 171, 172, 173, 187, 188, 190, 194, 195, 196, 199, 200, 203, 208, 284, 341, 342, 344, 345, 390, 395, 403, 483, 484, 496, 498, 500, 501, 504, 505, 511, 512, 521, 557, 617, 680, 697, 698, 719, 720, 734, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 865, 867, 868, 869, 870, 877, 878, 880, 884, 885, 886, 888, 889, 892, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 913, 914, 915, 917, 920, 921, 923, 924, 925, 926, 927, 928, 930, 977, 978, 980, 981, 983, 984, 985, 986, 988, 989, 990, 991, 992, 995, 996, 997, 999, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1013, 1024, 1025, 1040, 1041, 1043, 1055, 1069, 1078, 1083, 1087, 1098, 1101, 1104, 1105, 1106, 1108, 1130, 1133, 1183, 1191, 1192, 1223, 1276, 1287, 1288, 1295, 1297, 1299, 1304, 1332, 1348, 1362, 1363, 1368, 1381, 1402, 1408, 1411, 1413, 1415, 1416, 1420, 1425, 1433, 1434, 1436], "class": [26, 70, 76, 89, 90, 96, 98, 102, 103, 104, 113, 115, 116, 126, 204, 206, 297, 302, 303, 304, 309, 310, 316, 317, 318, 324, 332, 344, 425, 431, 496, 498, 500, 501, 504, 505, 511, 512, 532, 542, 547, 588, 590, 602, 617, 697, 721, 722, 735, 764, 798, 936, 937, 956, 982, 983, 1000, 1040, 1042, 1043, 1045, 1046, 1069, 1100, 1160, 1302, 1307, 1308, 1310, 1329, 1331, 1332, 1362, 1363, 1394, 1401, 1404, 1412, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1430, 1431, 1432, 1433, 1434, 1436], "chess_pgn_graph": 26, "pgn": 26, "portabl": [26, 1390], "game": [26, 66, 100], "notat": [26, 102, 103, 152, 750, 798, 855, 900, 936, 982, 1040, 1042, 1043, 1248, 1250, 1252, 1254, 1256, 1262, 1264, 1332, 1387, 1403, 1423, 1436], "chess_masters_wcc": 26, "bz2": [26, 268, 269, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1356, 1363, 1364, 1374, 1377, 1378, 1381, 1382], "685": 26, "world": [26, 53, 218, 264, 357, 487, 488, 489, 522, 523, 570, 574, 683, 684, 686, 760, 1172, 1173, 1199, 1201, 1231, 1239, 1247, 1331, 1407, 1415, 1416, 1418, 1436], "championship": 26, "1886": 26, "1985": [26, 236], "chessproblem": 26, "my": [26, 327, 617, 852, 897, 933, 979], "free": [26, 92, 93, 98, 100, 106, 115, 250, 251, 272, 328, 332, 459, 562, 686, 687, 1170, 1192, 1199, 1213, 1216, 1225, 1240, 1277, 1329, 1403, 1415, 1416, 1420, 1436], "last": [26, 69, 81, 102, 103, 107, 110, 231, 232, 364, 372, 421, 452, 466, 586, 596, 597, 599, 654, 659, 660, 719, 720, 965, 1005, 1088, 1174, 1278, 1308, 1309, 1410, 1415, 1416, 1418, 1420, 1425], "name": [26, 35, 50, 55, 57, 69, 72, 78, 81, 90, 92, 94, 96, 98, 100, 102, 103, 104, 105, 107, 110, 111, 116, 151, 159, 163, 167, 176, 189, 203, 205, 232, 267, 268, 283, 284, 298, 299, 304, 307, 308, 312, 313, 316, 317, 324, 325, 326, 328, 331, 332, 352, 382, 383, 385, 386, 393, 413, 414, 418, 419, 420, 421, 431, 453, 466, 498, 510, 547, 561, 562, 563, 564, 565, 570, 571, 574, 576, 593, 594, 595, 599, 600, 602, 603, 606, 617, 680, 682, 689, 690, 691, 693, 706, 719, 753, 798, 852, 859, 862, 865, 871, 879, 892, 893, 897, 904, 907, 910, 928, 933, 940, 943, 946, 974, 975, 979, 986, 989, 992, 1011, 1014, 1040, 1041, 1042, 1043, 1046, 1048, 1049, 1050, 1067, 1068, 1073, 1075, 1088, 1089, 1101, 1102, 1103, 1104, 1105, 1107, 1120, 1122, 1123, 1124, 1127, 1128, 1129, 1131, 1132, 1136, 1150, 1249, 1256, 1273, 1280, 1293, 1294, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1329, 1332, 1337, 1339, 1340, 1342, 1343, 1348, 1350, 1351, 1356, 1358, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1376, 1377, 1378, 1384, 1386, 1387, 1388, 1402, 1403, 1407, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1428, 1434, 1436], "info": [26, 66, 160, 798, 860, 905, 941, 949, 987, 995, 1040, 1042, 1043, 1045, 1048, 1122, 1123, 1126, 1139, 1141, 1373, 1374, 1394, 1415, 1420, 1421, 1422, 1423, 1434], "statement": [26, 94, 97, 364, 764, 1127, 1402, 1408, 1415, 1423], "game_info": 26, "describ": [26, 35, 59, 70, 72, 94, 100, 101, 103, 105, 133, 145, 250, 294, 316, 317, 323, 332, 363, 364, 375, 380, 462, 521, 523, 567, 590, 706, 741, 754, 762, 788, 1039, 1049, 1050, 1091, 1150, 1154, 1171, 1172, 1173, 1176, 1181, 1183, 1184, 1208, 1213, 1214, 1228, 1254, 1263, 1278, 1280, 1284, 1285, 1293, 1294, 1302, 1332, 1347, 1348, 1350, 1389, 1391, 1395, 1416], "load": [26, 27, 35, 66, 70, 72, 94, 111, 311, 328, 760, 1041, 1370, 1407, 1410, 1413, 1414, 1415, 1420, 1422], "25": [26, 41, 65, 67, 69, 83, 84, 100, 101, 236, 239, 241, 298, 299, 307, 308, 331, 348, 349, 385, 386, 558, 559, 560, 705, 721, 735, 1174, 1176, 1179, 1198, 1277, 1286, 1301, 1329, 1412, 1436], "player": 26, "disconnect": [26, 84, 93, 116, 128, 215, 216, 217, 253, 254, 256, 257, 278, 279, 282, 294, 391, 392, 396, 412, 413, 414, 415, 416, 417, 418, 419, 422, 423, 424, 425, 472, 502, 635, 753, 1046, 1193, 1194, 1213, 1216, 1240, 1404, 1411, 1416, 1423], "consist": [26, 95, 100, 101, 108, 110, 241, 382, 395, 464, 567, 568, 588, 594, 618, 659, 734, 788, 793, 1041, 1153, 1154, 1155, 1166, 1169, 1178, 1222, 1255, 1278, 1335, 1390, 1391, 1416, 1421, 1423, 1426, 1434, 1436], "karpov": 26, "anatoli": 26, "korchnoi": 26, "viktor": 26, "kasparov": 26, "gari": 26, "237": [26, 1308], "open": [26, 27, 35, 50, 66, 70, 72, 85, 90, 92, 93, 94, 97, 101, 106, 110, 133, 268, 269, 721, 725, 726, 727, 728, 735, 1302, 1306, 1339, 1340, 1343, 1344, 1345, 1346, 1358, 1377, 1378, 1384, 1386, 1414, 1436], "sicilian": 26, "najdorff": 26, "qb6": 26, "poison": 26, "pawn": 26, "variat": [26, 298, 1325, 1420], "spasski": 26, "bori": [26, 1191], "fischer": 26, "robert": [26, 92, 1223, 1416, 1418], "28th": 26, "reykjavik": 26, "isl": 26, "date": [26, 97, 100, 105, 111, 1331, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "1972": [26, 407, 408, 1416], "07": [26, 102, 215, 216, 217, 221, 382, 383, 608, 1171, 1179], "round": [26, 116, 228, 239, 264, 473, 474, 475, 476, 477, 488, 1140, 1141, 1168, 1179, 1420], "whiteelo": 26, "2660": 26, "blackelo": 26, "2785": [26, 1417], "eco": 26, "b97": 26, "eventd": 26, "08": [26, 46, 47, 558, 559, 560, 566, 693, 721, 735, 1281, 1282, 1283, 1422], "findfont": 26, "famili": [26, 312, 313, 377, 1139, 1140, 1142, 1154, 1224, 1272, 1286, 1329, 1404, 1407, 1415], "helvetica": 26, "tag": [26, 95, 98, 107, 1179], "what": [26, 94, 95, 97, 102, 103, 105, 106, 166, 200, 204, 206, 215, 216, 231, 232, 468, 595, 723, 724, 864, 889, 909, 927, 945, 971, 991, 1010, 1045, 1088, 1089, 1198, 1332, 1402, 1411, 1414], "should": [26, 35, 45, 81, 84, 93, 94, 95, 96, 98, 100, 101, 102, 103, 104, 105, 108, 110, 145, 146, 149, 157, 165, 208, 224, 228, 229, 230, 231, 232, 233, 239, 244, 261, 285, 286, 287, 288, 289, 298, 299, 325, 326, 348, 350, 351, 353, 364, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 431, 454, 473, 474, 475, 476, 477, 498, 504, 505, 506, 507, 508, 509, 510, 513, 514, 527, 529, 537, 539, 547, 557, 561, 571, 590, 617, 631, 673, 674, 675, 676, 677, 692, 693, 721, 723, 724, 740, 756, 763, 764, 798, 857, 894, 902, 930, 938, 976, 984, 1013, 1022, 1039, 1040, 1042, 1043, 1045, 1046, 1088, 1089, 1090, 1091, 1097, 1103, 1105, 1127, 1128, 1129, 1140, 1141, 1142, 1143, 1160, 1171, 1199, 1200, 1202, 1203, 1204, 1217, 1218, 1222, 1223, 1229, 1232, 1233, 1236, 1237, 1284, 1285, 1286, 1288, 1302, 1306, 1331, 1342, 1343, 1351, 1356, 1363, 1364, 1365, 1366, 1369, 1390, 1402, 1403, 1407, 1408, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1421, 1422, 1423, 1436], "game_detail": 26, "pgn_file": 26, "format": [26, 42, 50, 53, 55, 58, 59, 66, 94, 95, 105, 111, 112, 198, 215, 266, 267, 268, 283, 348, 568, 686, 731, 733, 798, 1040, 1042, 1043, 1045, 1108, 1126, 1127, 1129, 1135, 1287, 1331, 1332, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1390, 1392, 1393, 1395, 1398, 1406, 1407, 1408, 1411, 1414, 1415, 1416, 1419, 1421, 1422, 1423, 1425], "filenam": [26, 268, 269, 1049, 1126, 1129, 1133, 1339, 1340, 1343, 1344, 1345, 1346, 1355, 1356, 1358, 1363, 1364, 1374, 1377, 1378, 1381, 1382, 1384, 1386, 1388, 1417, 1420, 1434], "uncompress": [26, 268, 1339, 1343, 1344, 1374, 1377, 1381], "bz2file": 26, "datafil": [26, 72], "decod": [26, 35, 66, 70, 72, 760, 1395, 1416, 1422], "rstrip": 26, "startswith": [26, 35, 70, 72], "split": [26, 35, 66, 69, 70, 85, 100, 103, 108, 693, 1422], "str": [26, 27, 72, 158, 209, 268, 283, 460, 466, 472, 563, 564, 565, 692, 693, 723, 724, 725, 726, 727, 728, 737, 739, 741, 750, 858, 903, 939, 985, 1048, 1066, 1103, 1107, 1108, 1133, 1139, 1141, 1278, 1284, 1285, 1301, 1302, 1306, 1308, 1309, 1339, 1343, 1344, 1351, 1354, 1355, 1356, 1360, 1362, 1363, 1387, 1388, 1390, 1421, 1422, 1430, 1434], "empti": [26, 46, 68, 81, 103, 133, 142, 166, 169, 181, 190, 204, 206, 218, 223, 239, 244, 333, 398, 416, 456, 502, 561, 562, 596, 597, 598, 599, 617, 633, 662, 663, 664, 681, 709, 722, 730, 732, 744, 745, 754, 798, 852, 864, 867, 873, 880, 897, 909, 912, 916, 933, 945, 948, 954, 962, 966, 979, 991, 994, 998, 1006, 1040, 1042, 1043, 1071, 1127, 1128, 1129, 1157, 1160, 1191, 1192, 1278, 1283, 1308, 1332, 1382, 1403, 1404, 1415, 1416, 1421, 1424, 1434, 1436], "finish": [26, 56, 1242, 1425], "pop": [26, 35, 69, 94, 372, 1308], "identifi": [26, 71, 84, 93, 102, 103, 116, 180, 339, 361, 429, 570, 574, 576, 586, 587, 589, 590, 600, 693, 750, 761, 936, 949, 950, 965, 966, 982, 995, 996, 1005, 1006, 1042, 1043, 1179, 1201, 1208, 1219, 1278, 1286, 1302, 1332, 1403, 1404, 1422, 1436], "gcc": [26, 28, 84, 85], "nfrom": 26, "new": [26, 35, 70, 72, 94, 95, 96, 97, 100, 101, 102, 104, 105, 106, 107, 108, 110, 111, 129, 153, 159, 166, 197, 205, 229, 231, 232, 233, 234, 275, 284, 325, 326, 327, 382, 429, 440, 455, 462, 481, 496, 500, 501, 511, 512, 514, 570, 574, 585, 586, 587, 589, 591, 598, 600, 601, 602, 604, 605, 607, 609, 611, 612, 613, 614, 615, 665, 694, 696, 705, 741, 762, 793, 798, 856, 859, 864, 887, 893, 901, 904, 909, 936, 937, 940, 945, 956, 969, 982, 983, 986, 991, 1000, 1040, 1041, 1042, 1043, 1046, 1050, 1054, 1060, 1066, 1104, 1171, 1183, 1192, 1194, 1223, 1225, 1229, 1231, 1233, 1235, 1239, 1240, 1243, 1244, 1247, 1274, 1276, 1300, 1301, 1302, 1308, 1317, 1325, 1326, 1327, 1369, 1370, 1408, 1409, 1412, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1431, 1434, 1436], "without": [26, 93, 95, 100, 101, 102, 103, 104, 105, 111, 145, 162, 164, 166, 172, 231, 232, 236, 250, 327, 380, 389, 431, 440, 498, 567, 568, 595, 600, 618, 619, 762, 788, 798, 863, 864, 869, 908, 909, 914, 944, 945, 950, 990, 991, 996, 1040, 1042, 1043, 1045, 1046, 1049, 1063, 1101, 1104, 1113, 1128, 1139, 1141, 1163, 1178, 1185, 1191, 1192, 1199, 1202, 1203, 1204, 1205, 1223, 1302, 1309, 1323, 1332, 1335, 1351, 1354, 1355, 1356, 1357, 1390, 1403, 1405, 1411, 1413, 1416, 1418, 1421, 1425], "multi": [26, 129, 209, 294, 440, 496, 567, 607, 609, 612, 613, 682, 702, 725, 726, 727, 728, 933, 979, 994, 1039, 1042, 1043, 1067, 1091, 1094, 1097, 1332, 1336, 1377, 1396, 1404, 1413, 1415, 1416, 1421, 1423, 1434], "proport": [26, 315, 329, 331, 1191, 1201], "plai": [26, 104, 1419], "edgewidth": 26, "won": [26, 332, 1412, 1415], "win": [26, 1256, 1265], "fromkei": [26, 413, 414, 418], "elif": [26, 89, 103], "nodes": 26, "kamada_kawai_layout": [26, 72, 98, 1138, 1421], "tweak": [26, 208, 894, 930, 976, 1013, 1416, 1417, 1422, 1423], "overlap": [26, 27, 53, 211, 287, 340, 378, 462, 741, 1219, 1221, 1301], "reshevski": 26, "samuel": [26, 336, 337, 1433, 1434], "botvinnik": 26, "mikhail": [26, 331], "smyslov": 26, "vassili": 26, "210070": 26, "label_opt": [26, 1045], "fc": [26, 71, 1140], "bbox": [26, 71, 1140, 1142], "fontnam": 26, "plot_chess_mast": [26, 48], "imag": [27, 77, 81, 97, 101, 106, 110, 284, 1104, 1143, 1421, 1422, 1436], "courtesi": 27, "materialui": 27, "pil": 27, "router": 27, "router_black_144x144": 27, "png": [27, 75, 76, 77, 78, 1332, 1436], "switch": [27, 103, 104, 1088, 1089, 1213, 1216, 1402, 1416, 1417, 1420, 1421, 1422, 1431, 1434], "switch_black_144x144": 27, "pc": [27, 29], "computer_black_144x144": 27, "fname": 27, "switch_": 27, "pc_": 27, "switch_1": 27, "switch_2": 27, "switch_3": 27, "1734289230": 27, "min_sourc": 27, "target_margin": 27, "kwarg": [27, 96, 103, 104, 425, 504, 505, 508, 509, 1050, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1306, 1416, 1417, 1421, 1422, 1423, 1429, 1431, 1434], "work": [27, 53, 55, 58, 89, 93, 94, 95, 97, 101, 106, 108, 111, 112, 134, 160, 196, 201, 211, 215, 216, 217, 221, 223, 323, 364, 382, 412, 413, 414, 415, 416, 420, 421, 425, 498, 499, 503, 506, 507, 510, 567, 631, 654, 655, 660, 661, 662, 669, 683, 693, 763, 781, 860, 886, 890, 905, 925, 941, 968, 972, 1008, 1041, 1049, 1109, 1110, 1112, 1117, 1119, 1219, 1222, 1301, 1329, 1334, 1387, 1388, 1395, 1402, 1403, 1407, 1408, 1409, 1411, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1429, 1434, 1435, 1436], "fancyarrowpatch": [27, 1045, 1139, 1141, 1422, 1423, 1434], "object": [27, 46, 53, 55, 56, 57, 58, 59, 66, 94, 100, 101, 102, 103, 104, 108, 152, 153, 157, 158, 159, 160, 162, 166, 167, 169, 171, 172, 176, 181, 189, 190, 191, 196, 201, 203, 205, 208, 223, 224, 238, 239, 243, 244, 292, 381, 444, 445, 446, 447, 449, 450, 472, 548, 549, 550, 578, 586, 587, 588, 589, 610, 617, 621, 677, 678, 688, 732, 733, 740, 741, 753, 755, 762, 798, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 852, 855, 856, 857, 858, 859, 860, 864, 865, 867, 868, 869, 871, 873, 879, 880, 881, 886, 890, 892, 893, 894, 897, 900, 901, 902, 903, 904, 905, 909, 910, 912, 913, 914, 916, 925, 928, 929, 930, 933, 936, 937, 938, 939, 940, 941, 945, 946, 948, 949, 952, 954, 962, 963, 968, 972, 974, 975, 976, 979, 982, 983, 984, 985, 986, 987, 991, 992, 994, 995, 998, 1008, 1011, 1012, 1013, 1014, 1040, 1041, 1042, 1043, 1048, 1049, 1050, 1066, 1088, 1089, 1100, 1120, 1123, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1149, 1150, 1160, 1208, 1213, 1281, 1282, 1283, 1301, 1302, 1306, 1309, 1313, 1314, 1315, 1318, 1326, 1327, 1328, 1330, 1332, 1333, 1352, 1353, 1358, 1366, 1370, 1384, 1386, 1395, 1404, 1413, 1414, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1434, 1436], "forc": [27, 50, 94, 95, 107, 239, 244, 385, 597, 599, 602, 673, 675, 1107, 1120, 1138, 1410, 1415, 1426], "arrow": [27, 1139, 1141, 1417, 1419, 1421, 1422, 1423, 1425], "arrowhead": [27, 1139, 1141], "arrowstyl": [27, 29, 42, 1139, 1141, 1426], "min_source_margin": [27, 1141], "min_target_margin": [27, 1141], "coordin": [27, 55, 56, 58, 59, 618, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1127, 1128, 1129, 1200, 1217, 1219, 1221, 1395, 1404, 1420], "xlim": [27, 32, 40, 85], "ylim": [27, 40, 85], "displai": [27, 94, 102, 693, 750, 1102, 1103, 1106, 1127, 1128, 1129, 1387, 1388, 1436], "tr_figur": 27, "transdata": 27, "tr_ax": 27, "transfigur": 27, "invert": [27, 300, 478, 672, 1222], "rel": [27, 102, 258, 313, 325, 326, 331, 511, 558, 559, 560, 595, 616, 678, 1117, 1120, 1219, 1221, 1281, 1282, 1283, 1434], "icon_s": 27, "get_xlim": [27, 71], "025": 27, "icon_cent": 27, "respect": [27, 93, 100, 102, 145, 218, 232, 237, 242, 245, 249, 292, 293, 340, 358, 365, 452, 514, 515, 561, 621, 654, 660, 673, 674, 675, 676, 678, 684, 686, 689, 691, 693, 719, 720, 721, 735, 754, 793, 798, 1040, 1042, 1043, 1084, 1157, 1171, 1217, 1242, 1249, 1284, 1285, 1288, 1291, 1302, 1329, 1395, 1411, 1414, 1416, 1423], "xf": 27, "yf": 27, "xa": 27, "ya": [27, 1416], "imshow": 27, "328": [27, 48, 594], "plot_custom_node_icon": [27, 48], "sever": [28, 53, 89, 93, 98, 100, 102, 104, 221, 316, 358, 375, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 620, 621, 680, 793, 798, 1040, 1042, 1043, 1157, 1390, 1411, 1414, 1415, 1416, 1431, 1434, 1436], "common": [28, 93, 102, 113, 116, 133, 149, 208, 222, 231, 232, 285, 286, 287, 288, 289, 296, 360, 387, 442, 464, 482, 567, 568, 570, 571, 574, 576, 577, 578, 579, 580, 600, 602, 606, 760, 763, 788, 798, 894, 930, 976, 1013, 1040, 1041, 1042, 1043, 1044, 1059, 1223, 1275, 1278, 1302, 1309, 1331, 1332, 1390, 1391, 1402, 1403, 1413, 1414, 1431], "techniqu": [28, 133, 332, 590, 788, 1232], "rank": [28, 339, 376, 567, 568, 621, 1275], "determin": [28, 39, 98, 103, 104, 133, 143, 209, 257, 278, 279, 281, 282, 336, 337, 364, 368, 380, 381, 417, 419, 431, 445, 452, 466, 467, 469, 478, 496, 500, 501, 504, 505, 508, 509, 512, 524, 532, 542, 547, 561, 562, 590, 624, 625, 654, 665, 678, 686, 693, 719, 720, 725, 726, 727, 728, 734, 740, 751, 762, 933, 979, 1041, 1042, 1043, 1046, 1105, 1106, 1120, 1141, 1147, 1197, 1202, 1203, 1204, 1222, 1223, 1235, 1281, 1282, 1283, 1302, 1334, 1364, 1402, 1403, 1413, 1436], "three": [28, 58, 71, 98, 100, 102, 104, 115, 116, 221, 227, 264, 362, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 439, 452, 473, 474, 475, 476, 477, 479, 504, 505, 508, 509, 620, 621, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 695, 719, 720, 752, 798, 1039, 1040, 1087, 1091, 1150, 1157, 1160, 1246, 1265, 1270, 1280, 1302, 1329, 1330, 1332, 1336, 1387, 1393, 1402, 1404, 1413, 1418], "thing": [28, 51, 94, 98, 100, 1041, 1334], "02": [28, 60, 85, 104, 678, 731, 733, 762, 1179, 1257], "10374196": 28, "degree_sequ": [28, 63], "dmax": 28, "gridspec": 28, "axgrid": [28, 83], "add_gridspec": [28, 83], "ax0": [28, 51], "10396953": 28, "set_axis_off": [28, 29, 39], "marker": [28, 58, 267, 1139, 1141, 1143, 1338, 1339, 1340, 1342, 1376, 1377, 1378], "o": [28, 68, 111, 129, 144, 158, 210, 211, 212, 213, 219, 220, 222, 227, 228, 230, 231, 232, 236, 250, 276, 281, 294, 295, 297, 302, 303, 309, 310, 333, 354, 363, 372, 386, 388, 411, 415, 425, 431, 434, 435, 453, 454, 455, 464, 496, 500, 501, 511, 512, 515, 517, 518, 519, 520, 521, 562, 579, 583, 584, 594, 630, 631, 632, 654, 660, 661, 679, 680, 682, 688, 699, 731, 733, 751, 858, 903, 939, 985, 1071, 1139, 1141, 1143, 1185, 1187, 1192, 1202, 1203, 1204, 1206, 1207, 1209, 1230, 1234, 1236, 1238, 1241, 1245, 1308, 1416, 1420, 1421, 1422, 1423, 1430], "ax2": [28, 83], "bar": [28, 90, 104, 185, 236, 411, 875, 918, 957, 1001], "return_count": 28, "295": [28, 48], "plot_degre": [28, 48], "opac": 29, "drawn": [29, 42, 618, 619, 1127, 1128, 1129, 1139, 1140, 1141, 1174, 1204, 1325, 1387], "mpl": [29, 94, 1422, 1423, 1432], "13648": 29, "random_k_out_graph": 29, "edge_alpha": 29, "cmap": [29, 38, 40, 57, 1139, 1143], "cm": [29, 30, 38, 40, 239], "plasma": [29, 57], "indigo": [29, 1308], "arrows": [29, 33, 71, 1139, 1141, 1423], "edge_cmap": [29, 30, 1139, 1141], "set_alpha": [29, 1141], "patchcollect": 29, "set_arrai": 29, "colorbar": [29, 1432], "221": [29, 41, 48, 275, 620, 1436], "plot_direct": [29, 48], "star_graph": [30, 103, 244, 261, 333, 617, 672, 673, 677, 763, 1223], "63": [30, 65, 1188, 1190, 1357], "a0cbe2": 30, "plot_edge_colormap": [30, 48], "ego_graph": [31, 1403], "main": [31, 89, 95, 97, 100, 102, 103, 104, 107, 218, 231, 232, 270, 271, 272, 273, 274, 275, 276, 277, 430, 435, 437, 1045, 1127, 1129, 1160, 1332, 1391, 1404, 1412, 1413, 1415, 1421, 1422, 1423, 1433, 1434], "egonet": 31, "hub": [31, 566, 765, 1169], "barab\u00e1si": [31, 111, 1229, 1233, 1235, 1240, 1415], "albert": [31, 111, 380, 1229, 1233, 1235, 1240, 1415, 1419, 1422], "itemgett": [31, 376, 462], "ba": [31, 1240, 1436], "20532": 31, "node_and_degre": 31, "largest_hub": 31, "hub_ego": 31, "300": [31, 35, 69, 71, 751, 752, 1139, 1141, 1143, 1179, 1280, 1332], "101": [31, 48, 240, 241], "plot_ego_graph": [31, 48], "592461791177574": 32, "5363890312656235e": 32, "linalg": [32, 94, 96, 1404, 1411, 1414, 1416, 1434], "5000": [32, 1181], "gnm_random_graph": [32, 64, 273, 1232, 1406, 1415], "5040": 32, "normalized_laplacian_matrix": [32, 1291, 1299], "eigval": 32, "toarrai": [32, 1108, 1285, 1286, 1291, 1433], "min": [32, 209, 261, 262, 263, 281, 287, 442, 496, 498, 502, 506, 507, 508, 509, 510, 512, 519, 520, 585, 724, 793, 1106, 1308, 1325, 1326, 1327, 1409, 1415, 1416, 1436], "hist": [32, 63, 1062], "bin": [32, 94, 1062], "626": [32, 48], "plot_eigenvalu": [32, 48], "4x4": 33, "argument": [33, 44, 55, 94, 96, 103, 104, 110, 116, 152, 153, 157, 158, 159, 185, 191, 201, 208, 227, 231, 232, 253, 254, 321, 323, 329, 355, 364, 375, 376, 385, 420, 421, 466, 473, 474, 475, 476, 477, 502, 547, 577, 579, 590, 617, 620, 628, 629, 634, 635, 637, 638, 642, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 678, 680, 682, 741, 754, 798, 852, 855, 856, 857, 858, 859, 875, 881, 890, 894, 897, 900, 901, 902, 903, 904, 918, 930, 933, 936, 937, 938, 939, 940, 957, 961, 976, 979, 982, 983, 984, 985, 986, 1001, 1013, 1014, 1039, 1040, 1042, 1043, 1045, 1048, 1050, 1055, 1056, 1057, 1088, 1089, 1091, 1105, 1122, 1123, 1125, 1129, 1141, 1149, 1157, 1188, 1195, 1199, 1202, 1203, 1204, 1205, 1241, 1300, 1301, 1302, 1303, 1305, 1306, 1307, 1332, 1334, 1369, 1370, 1402, 1403, 1405, 1408, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1431, 1432, 1434, 1436], "39775": 33, "2x2": 33, "all_ax": 33, "flat": 33, "to_direct": [33, 166, 204, 205, 206, 798, 864, 893, 909, 929, 945, 975, 991, 1012, 1040, 1042, 1043, 1172, 1173, 1188, 1190, 1413, 1418, 1420], "orang": [33, 34, 39, 58, 600, 1045], "350": [33, 48, 106], "plot_four_grid": [33, 48], "house_graph": 34, "wall": 34, "roof": 34, "089": [34, 48], "plot_house_with_color": [34, 48], "miles_graph": 35, "128": 35, "citi": [35, 69, 1403], "popul": [35, 352, 353, 590, 672, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1108, 1121, 1150, 1151, 1152, 1153, 1154, 1156, 1158, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1422, 1425], "section": [35, 70, 72, 93, 94, 100, 101, 103, 104, 105, 107, 502, 753, 1150, 1223, 1232, 1416, 1421, 1422, 1423], "donald": [35, 70, 72, 457, 1232], "graphbas": [35, 70, 72, 1274], "platform": [35, 70, 72, 94, 108, 157, 857, 902, 938, 984, 1041, 1274, 1403, 1420, 1422], "combinatori": [35, 70, 72, 113, 354, 617, 618, 620, 621, 740, 1274, 1289], "acm": [35, 70, 72, 347, 348, 349, 364, 389, 391, 392, 396, 428, 451, 566, 570, 574, 579, 583, 672, 677, 678, 692, 693, 1192, 1201, 1245, 1274, 1326, 1327], "press": [35, 70, 72, 111, 133, 258, 259, 260, 287, 289, 300, 312, 313, 325, 326, 379, 385, 387, 464, 590, 678, 690, 1149, 1150, 1198, 1223, 1271, 1274, 1275], "york": [35, 70, 72, 481, 570, 574, 1046, 1274, 1325, 1326, 1327, 1403], "1993": [35, 70, 72, 429, 430, 1274], "faculti": [35, 70, 72], "edu": [35, 46, 66, 70, 72, 100, 101, 104, 111, 113, 215, 216, 217, 221, 316, 327, 332, 344, 412, 413, 415, 416, 417, 419, 432, 444, 446, 449, 450, 469, 485, 492, 521, 566, 568, 569, 572, 573, 616, 618, 620, 621, 692, 694, 706, 708, 709, 710, 712, 736, 738, 1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "sgb": [35, 70, 72], "html": [35, 46, 50, 70, 72, 100, 107, 111, 166, 203, 205, 283, 446, 478, 479, 480, 481, 566, 568, 608, 620, 694, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1136, 1139, 1140, 1141, 1142, 1143, 1203, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263, 1265, 1347, 1348, 1350, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1367, 1368, 1373, 1374, 1383, 1384, 1385, 1386, 1389, 1390, 1391, 1394, 1402, 1403, 1415, 1416, 1422], "miles_dat": 35, "8128": 35, "gzip": [35, 70, 72, 1415], "re": [35, 46, 70, 94, 98, 101, 692, 788, 793, 1041, 1390, 1419, 1421, 1422, 1426], "ignor": [35, 94, 100, 104, 169, 181, 190, 194, 196, 208, 225, 236, 284, 292, 293, 294, 295, 321, 328, 347, 348, 349, 357, 358, 362, 365, 366, 367, 369, 370, 372, 400, 412, 413, 414, 420, 421, 452, 487, 488, 489, 490, 496, 500, 501, 512, 513, 514, 587, 588, 589, 590, 627, 634, 637, 638, 673, 674, 675, 676, 678, 699, 719, 720, 735, 736, 737, 738, 739, 751, 793, 867, 873, 880, 884, 886, 894, 912, 916, 923, 925, 930, 948, 954, 962, 966, 968, 976, 994, 998, 1006, 1008, 1013, 1064, 1085, 1088, 1089, 1090, 1098, 1104, 1120, 1129, 1133, 1281, 1282, 1283, 1301, 1332, 1334, 1351, 1356, 1359, 1360, 1402, 1404, 1411, 1415, 1416, 1417, 1420, 1421, 1422, 1425, 1426, 1428, 1436], "warn": [35, 94, 96, 171, 203, 205, 311, 454, 491, 798, 868, 892, 893, 913, 928, 929, 949, 974, 975, 995, 1011, 1012, 1040, 1042, 1043, 1045, 1156, 1158, 1163, 1165, 1166, 1169, 1402, 1405, 1416, 1420, 1421, 1422, 1423, 1426, 1431, 1433, 1434], "shpfile": 35, "cartopi": [35, 1422], "simplefilt": 35, "cite": [35, 66, 94, 98, 1426], "gz": [35, 70, 72, 268, 269, 1339, 1340, 1343, 1344, 1345, 1346, 1348, 1350, 1356, 1363, 1364, 1374, 1377, 1378, 1381, 1382], "fh": [35, 70, 72, 85, 90, 268, 269, 1339, 1340, 1343, 1344, 1345, 1377, 1378, 1395], "knuth_mil": 35, "readlin": [35, 70, 72, 85, 1302], "skip": [35, 70, 353, 1415, 1421, 1422], "comment": [35, 70, 94, 95, 98, 100, 267, 268, 269, 1335, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1376, 1377, 1378, 1396, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "continu": [35, 70, 72, 94, 95, 100, 101, 108, 382, 385, 719, 720, 732, 1041, 1088, 1120, 1171, 1213, 1216, 1436], "numfind": [35, 70], "compil": [35, 66, 70, 112, 1045, 1048, 1050, 1127, 1128, 1129, 1302], "coordpop": 35, "insert": [35, 102, 154, 155, 156, 198, 323, 592, 616, 673, 674, 675, 676, 965, 966, 1005, 1006], "assign": [35, 39, 85, 97, 100, 116, 152, 153, 171, 270, 271, 272, 273, 274, 275, 276, 277, 281, 285, 288, 300, 358, 364, 368, 382, 513, 567, 568, 607, 609, 612, 613, 616, 617, 736, 756, 762, 793, 798, 852, 855, 856, 868, 897, 900, 901, 913, 933, 936, 937, 949, 979, 982, 983, 995, 1040, 1041, 1042, 1043, 1088, 1089, 1105, 1106, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1123, 1132, 1139, 1171, 1179, 1181, 1183, 1185, 1199, 1204, 1210, 1228, 1287, 1288, 1301, 1308, 1330, 1332, 1334, 1403, 1417, 1423, 1436], "string": [35, 68, 72, 89, 152, 157, 159, 167, 169, 172, 176, 177, 180, 185, 189, 190, 199, 220, 227, 228, 229, 230, 231, 232, 233, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 248, 249, 253, 261, 262, 263, 266, 267, 268, 269, 281, 283, 284, 291, 296, 297, 298, 299, 302, 303, 304, 307, 308, 309, 310, 312, 313, 315, 316, 317, 324, 325, 326, 327, 328, 329, 331, 332, 354, 357, 358, 364, 365, 380, 382, 383, 385, 386, 387, 424, 431, 453, 461, 466, 473, 474, 475, 476, 477, 478, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 548, 549, 550, 554, 555, 556, 558, 559, 560, 570, 574, 576, 583, 585, 593, 594, 595, 626, 628, 629, 630, 631, 632, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 676, 682, 689, 690, 691, 713, 721, 735, 736, 737, 738, 739, 740, 750, 753, 754, 756, 798, 855, 857, 859, 865, 867, 869, 871, 872, 875, 879, 880, 888, 900, 902, 904, 910, 912, 914, 918, 926, 936, 938, 940, 946, 948, 950, 952, 953, 957, 961, 962, 970, 982, 984, 986, 992, 994, 996, 1001, 1009, 1040, 1042, 1043, 1045, 1048, 1050, 1067, 1068, 1073, 1075, 1084, 1087, 1088, 1089, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1111, 1112, 1118, 1120, 1122, 1123, 1124, 1127, 1128, 1129, 1131, 1132, 1135, 1139, 1140, 1141, 1142, 1143, 1275, 1278, 1280, 1281, 1282, 1283, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1332, 1335, 1336, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1358, 1360, 1361, 1362, 1363, 1364, 1365, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1380, 1381, 1382, 1383, 1384, 1386, 1387, 1388, 1396, 1402, 1415, 1416, 1420, 1421, 1422, 1434, 1436], "lat": 35, "long": [35, 95, 100, 101, 102, 106, 108, 306, 354, 617, 677, 680, 782, 1085, 1112, 1201, 1414, 1420, 1422], "float": [35, 69, 85, 199, 209, 214, 221, 231, 232, 237, 242, 245, 249, 254, 261, 264, 267, 268, 275, 276, 284, 286, 291, 297, 302, 303, 304, 306, 309, 310, 312, 313, 314, 315, 316, 317, 318, 319, 320, 324, 325, 326, 329, 332, 337, 344, 357, 358, 361, 382, 383, 384, 385, 386, 387, 388, 411, 412, 413, 414, 431, 473, 474, 475, 476, 477, 478, 487, 488, 489, 496, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 521, 558, 559, 560, 566, 567, 568, 576, 583, 594, 595, 627, 649, 650, 651, 655, 658, 662, 663, 664, 669, 670, 671, 677, 678, 684, 686, 687, 688, 691, 723, 724, 725, 726, 727, 728, 753, 755, 888, 926, 970, 1009, 1084, 1101, 1103, 1104, 1105, 1106, 1119, 1120, 1139, 1140, 1141, 1142, 1143, 1171, 1174, 1175, 1176, 1177, 1179, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1210, 1211, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1242, 1243, 1244, 1247, 1275, 1281, 1282, 1283, 1284, 1285, 1286, 1296, 1325, 1339, 1342, 1343, 1344, 1351, 1354, 1355, 1356, 1364, 1390, 1402, 1414, 1418, 1420, 1421, 1423, 1425], "them": [35, 53, 55, 56, 93, 95, 100, 102, 103, 105, 106, 110, 113, 115, 116, 215, 216, 227, 239, 244, 250, 283, 298, 299, 323, 352, 413, 414, 418, 419, 420, 421, 496, 500, 501, 511, 512, 576, 600, 617, 637, 690, 691, 751, 791, 798, 1040, 1042, 1043, 1069, 1103, 1120, 1123, 1132, 1156, 1201, 1275, 1302, 1328, 1332, 1334, 1382, 1404, 1411, 1413, 1416, 1417, 1418, 1422, 1434], "pylab": [35, 1136, 1415, 1416, 1422, 1436], "provid": [35, 51, 53, 55, 58, 59, 94, 95, 100, 102, 103, 104, 105, 106, 108, 110, 111, 112, 113, 116, 124, 133, 139, 160, 166, 167, 169, 176, 185, 189, 190, 191, 199, 201, 208, 215, 217, 220, 231, 232, 233, 257, 268, 269, 278, 279, 281, 282, 283, 294, 300, 325, 326, 344, 348, 349, 350, 351, 363, 364, 386, 393, 410, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 431, 440, 466, 478, 491, 498, 513, 514, 547, 577, 588, 591, 606, 642, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 672, 677, 687, 693, 719, 720, 741, 753, 759, 763, 772, 777, 791, 798, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 860, 864, 865, 867, 871, 875, 879, 880, 881, 888, 890, 894, 905, 909, 910, 912, 918, 926, 930, 936, 937, 941, 945, 946, 948, 949, 952, 957, 962, 970, 972, 976, 982, 983, 987, 991, 992, 994, 995, 1001, 1009, 1013, 1039, 1040, 1041, 1042, 1043, 1045, 1046, 1088, 1089, 1091, 1092, 1093, 1097, 1127, 1129, 1141, 1171, 1192, 1199, 1202, 1203, 1204, 1208, 1219, 1221, 1241, 1284, 1285, 1287, 1288, 1301, 1302, 1329, 1332, 1334, 1339, 1340, 1343, 1344, 1345, 1346, 1353, 1355, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1369, 1370, 1377, 1378, 1385, 1386, 1395, 1404, 1411, 1413, 1416, 1417, 1434, 1436], "backdrop": 35, "cr": [35, 684, 686], "ccr": 35, "io": [35, 41, 57, 66, 92, 93, 108, 1045, 1204, 1306, 1332, 1395, 1415], "shaperead": 35, "shpreader": 35, "add_ax": 35, "lambertconform": 35, "frameon": 35, "set_ext": 35, "125": [35, 40, 227, 1185, 1196, 1436], "geodet": 35, "countri": 35, "state": [35, 39, 95, 100, 104, 133, 209, 214, 218, 221, 223, 224, 228, 231, 232, 233, 272, 273, 275, 276, 297, 298, 307, 331, 370, 375, 379, 380, 382, 383, 439, 529, 539, 591, 627, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 740, 749, 1105, 1114, 1120, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1216, 1221, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1325, 1334, 1418, 1420, 1427], "shapenam": 35, "admin_1_states_provinces_lakes_shp": 35, "admin_0_countri": 35, "shp": 35, "natural_earth": 35, "110m": 35, "categori": [35, 70, 94, 113], "cultur": [35, 93], "add_geometri": 35, "reader": [35, 106, 1404, 1407, 1410, 1415, 1421], "geometri": [35, 53, 55, 56, 58], "platecarre": 35, "facecolor": [35, 55, 59], "directli": [35, 54, 55, 58, 76, 77, 87, 89, 93, 101, 102, 104, 116, 152, 181, 346, 348, 350, 351, 356, 587, 589, 753, 755, 764, 855, 873, 900, 916, 936, 954, 982, 998, 1041, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1275, 1332, 1387, 1402, 1403, 1404, 1413, 1415, 1426, 1436], "rather": [35, 102, 103, 300, 312, 713, 949, 995, 1041, 1045, 1171, 1224, 1242, 1302, 1414, 1422, 1432, 1434], "advantag": [35, 39, 103, 381, 631, 1332, 1411, 1419], "zorder": 35, "lie": [35, 207, 1140, 1221, 1257], "edge_coord": 35, "except": [35, 72, 85, 89, 102, 116, 157, 162, 171, 172, 195, 208, 228, 230, 231, 232, 247, 248, 252, 256, 257, 278, 279, 282, 289, 365, 366, 367, 452, 456, 466, 467, 468, 471, 484, 498, 503, 506, 507, 510, 513, 568, 591, 599, 600, 602, 603, 606, 635, 654, 660, 729, 735, 736, 737, 738, 739, 760, 798, 857, 868, 869, 885, 894, 902, 913, 914, 924, 930, 938, 949, 950, 967, 976, 984, 995, 996, 1007, 1013, 1040, 1042, 1043, 1066, 1090, 1150, 1161, 1171, 1181, 1183, 1228, 1231, 1263, 1301, 1302, 1304, 1308, 1329, 1330, 1331, 1402, 1403, 1406, 1410, 1413, 1415, 1416, 1421, 1422, 1423, 1426, 1432, 1434, 1436], "importerror": [35, 281], "unavail": [35, 1416], "blank": [35, 1425], "though": [35, 55, 93, 103, 104, 106, 157, 172, 353, 514, 617, 620, 700, 701, 763, 764, 857, 869, 902, 914, 938, 950, 984, 996, 1120, 1141, 1171, 1302, 1332, 1413, 1436], "abl": [35, 89, 93, 95, 102, 108, 764, 1045, 1213, 1413], "discern": [35, 312], "shape": [35, 78, 101, 1045, 1139, 1140, 1142, 1143, 1174, 1221, 1363, 1416, 1422], "105": [35, 48, 519, 520, 1172, 1173], "plot_knuth_mil": [35, 48], "variou": [36, 94, 102, 104, 364, 590, 618, 793, 1041, 1248, 1329, 1404, 1405, 1415, 1419, 1436], "cubical_graph": [36, 1332], "3113794652": 36, "800": [36, 38], "beta": [36, 325, 326, 1192, 1205, 1416], "gamma": [36, 382, 385, 386, 387, 569, 570, 571, 572, 573, 574, 575, 1192, 1243, 1244], "delta": [36, 327, 382, 387, 415, 576, 677], "font_color": [36, 1139, 1140, 1142], "whitesmok": 36, "198": [36, 48], "plot_labels_and_color": [36, 48, 1422], "subset_s": [37, 1157], "subset_color": 37, "violet": [37, 1308], "limegreen": 37, "darkorang": 37, "multilayered_graph": 37, "extent": [37, 103, 595, 689, 690, 1045, 1115, 1116], "accumul": [37, 331, 1278, 1421], "layer1": 37, "layer2": 37, "product": [37, 93, 111, 499, 607, 608, 609, 611, 612, 613, 678, 680, 687, 740, 774, 788, 1408, 1415, 1417, 1434], "082": [37, 48], "plot_multipartite_graph": [37, 48], "057": [38, 48], "plot_node_colormap": [38, 48], "circular": [39, 80, 86, 87, 98, 1127, 1128, 1129, 1137, 1155, 1301, 1405, 1434], "minimum": [39, 113, 116, 142, 215, 216, 217, 219, 220, 221, 222, 224, 227, 228, 229, 234, 235, 236, 259, 265, 281, 282, 287, 323, 343, 372, 384, 385, 412, 413, 414, 415, 416, 417, 418, 419, 424, 429, 430, 431, 442, 453, 477, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 585, 673, 674, 675, 676, 692, 721, 722, 727, 728, 735, 737, 738, 739, 760, 788, 1139, 1141, 1143, 1171, 1325, 1387, 1403, 1404, 1406, 1411, 1415, 1416, 1417, 1420, 1421], "travers": [39, 53, 57, 68, 133, 207, 365, 366, 367, 383, 389, 391, 392, 396, 452, 628, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 680, 706, 707, 710, 719, 720, 760, 798, 1040, 1042, 1043, 1074, 1084, 1278, 1331, 1332, 1387, 1388, 1404, 1416, 1420, 1421], "along": [39, 68, 102, 103, 105, 106, 133, 185, 210, 229, 231, 232, 233, 389, 414, 454, 455, 456, 491, 514, 631, 736, 738, 875, 918, 957, 1001, 1140, 1278, 1335, 1421, 1422, 1436], "arc": [39, 228, 294, 413, 414, 432, 433, 510, 1141], "Such": [39, 1085, 1215, 1251], "subject": [39, 46, 94, 100, 462, 618], "ringel": 39, "2n": [39, 414, 433, 453, 514, 1225], "tile": [39, 1219, 1329], "tree": [39, 68, 80, 83, 86, 87, 227, 228, 229, 234, 235, 340, 383, 384, 389, 391, 392, 396, 452, 462, 484, 496, 502, 510, 561, 562, 579, 621, 706, 710, 713, 718, 719, 723, 729, 730, 731, 732, 733, 734, 736, 737, 738, 739, 740, 741, 742, 745, 760, 767, 1151, 1153, 1161, 1182, 1188, 1190, 1202, 1203, 1204, 1226, 1227, 1242, 1243, 1244, 1278, 1279, 1331, 1371, 1372, 1387, 1388, 1393, 1403, 1404, 1406, 1410, 1411, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1426, 1429, 1430, 1433, 1434], "place": [39, 44, 94, 96, 98, 100, 101, 112, 368, 548, 549, 550, 586, 590, 615, 694, 695, 696, 762, 1109, 1112, 1120, 1170, 1179, 1199, 1202, 1203, 1204, 1205, 1263, 1276, 1301, 1302, 1303, 1332, 1402, 1404, 1407, 1411, 1415, 1420, 1421], "cover": [39, 94, 95, 98, 104, 212, 236, 265, 282, 354, 441, 442, 760, 1219, 1331, 1409, 1415, 1416, 1426, 1433], "exactli": [39, 58, 98, 103, 104, 117, 145, 166, 385, 425, 436, 473, 474, 475, 476, 477, 479, 480, 490, 493, 494, 579, 582, 590, 617, 628, 629, 634, 635, 637, 638, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 682, 702, 703, 750, 752, 791, 864, 909, 945, 991, 1161, 1171, 1185, 1223, 1387], "help": [39, 92, 93, 94, 95, 101, 102, 112, 232, 250, 724, 1041, 1120, 1402, 1405, 1414, 1421, 1436], "quantamagazin": 39, "mathematician": [39, 111, 1329], "prove": [39, 282, 1275], "theori": [39, 106, 111, 264, 446, 519, 520, 608, 610, 620, 621, 682, 687, 764, 769, 1201, 1212, 1223, 1245, 1292, 1436], "20200219": 39, "tableau": 39, "node_dist_to_color": 39, "oliv": [39, 1421], "purpl": 39, "odd": [39, 493, 1064, 1085, 1198, 1219, 1221, 1231, 1239, 1245, 1247], "complete_graph": [39, 42, 76, 98, 102, 103, 208, 228, 357, 358, 359, 360, 361, 362, 378, 393, 490, 492, 494, 569, 571, 572, 573, 575, 590, 610, 619, 620, 680, 755, 777, 894, 930, 976, 1013, 1045, 1059, 1121, 1125, 1130, 1131, 1132, 1134, 1137, 1138, 1145, 1146, 1147, 1148, 1222, 1281, 1303, 1329, 1388, 1395, 1413, 1416, 1436], "ndist_it": 39, "symmetri": [39, 145, 146, 147, 148, 149, 150, 151, 547, 763, 1248, 1255], "nlist": [39, 1117, 1146, 1413, 1436], "rotat": [39, 1117, 1140], "nd": 39, "aspect": [39, 297, 302, 303, 304, 309, 310, 324, 1115], "ratio": [39, 211, 236, 289, 300, 388, 576, 623, 627, 1109, 1115, 1118, 1246, 1275, 1286], "preserv": [39, 56, 209, 600, 602, 725, 726, 727, 728, 788, 1097, 1115, 1225, 1275, 1300, 1301, 1363, 1421, 1434], "node_opt": [39, 1045, 1127, 1128, 1129], "edgedata": [39, 1097], "135": [39, 48, 72], "plot_rainbow_color": [39, 48], "random_geometric_graph": [40, 45], "896803": 40, "dmin": 40, "ncenter": 40, "reds_r": 40, "plot_random_geometric_graph": [40, 48], "monasteri": [41, 1415], "frame": [41, 53], "zipfil": [41, 66], "bytesio": [41, 66, 1395], "stringio": 41, "sampson_data": 41, "zf": [41, 66], "e1": [41, 547], "samplike1": 41, "e2": [41, 547, 1257, 1262], "samplike2": 41, "e3": 41, "samplike3": 41, "g1": [41, 76, 78, 513, 514, 527, 528, 530, 531, 532, 534, 535, 537, 538, 540, 541, 542, 544, 545, 548, 549, 550, 551, 552, 553, 557, 558, 559, 560, 563, 564, 565, 603, 606, 673, 674, 675, 676, 762, 764, 1381, 1408], "g2": [41, 78, 205, 513, 514, 527, 528, 530, 531, 532, 534, 535, 537, 538, 540, 541, 542, 544, 545, 548, 549, 550, 551, 552, 553, 557, 558, 559, 560, 563, 564, 565, 603, 606, 626, 673, 674, 675, 676, 749, 762, 764, 893, 929, 975, 1012, 1408], "g3": [41, 78], "173": [41, 326], "clf": [41, 69], "223": [41, 1436], "224": [41, 363, 385, 387, 1436], "281": [41, 48], "plot_sampson": [41, 48], "nx_pylab": [42, 80, 87, 1413, 1422, 1423, 1424, 1436], "create_us": [42, 96, 103, 228, 267, 268, 270, 271, 272, 274, 275, 277, 284, 352, 353, 393, 398, 401, 407, 408, 409, 458, 463, 590, 645, 646, 654, 658, 660, 665, 697, 764, 1037, 1044, 1045, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1121, 1151, 1152, 1153, 1154, 1155, 1156, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1167, 1169, 1181, 1182, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1388, 1402, 1406, 1407, 1415, 1417, 1418, 1422, 1425, 1429], "As": [42, 44, 94, 95, 102, 213, 231, 259, 300, 376, 462, 499, 503, 506, 507, 510, 547, 590, 617, 1105, 1112, 1181, 1228, 1302, 1332, 1408, 1411, 1414, 1436], "style": [42, 47, 55, 58, 78, 94, 95, 100, 103, 110, 166, 209, 270, 274, 277, 354, 864, 909, 945, 991, 1045, 1127, 1128, 1129, 1139, 1141, 1334, 1387, 1413, 1415, 1421, 1423], "remain": [42, 100, 232, 380, 382, 385, 424, 694, 1103, 1110, 1186, 1224, 1302, 1403, 1411, 1417, 1420], "newli": [42, 1302, 1416], "dash": [42, 47, 68, 105, 1139, 1141], "085": [42, 48], "plot_selfloop": [42, 48], "47": [43, 65, 111], "063": [43, 48, 64, 73, 90, 91], "plot_simple_path": [43, 48], "eigenvector": [44, 312, 313, 325, 326, 334, 373, 566, 568, 760, 1118, 1275, 1282, 1329, 1403, 1415, 1416, 1434], "By": [44, 100, 101, 102, 104, 215, 216, 217, 286, 312, 313, 375, 389, 391, 392, 396, 567, 568, 600, 672, 764, 798, 1040, 1041, 1042, 1043, 1129, 1413, 1418, 1436], "emb": 44, "dimens": [44, 1045, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1117, 1118, 1119, 1120, 1199, 1201, 1202, 1203, 1204, 1217, 1218, 1220, 1275, 1329], "either": [44, 93, 94, 102, 103, 104, 106, 205, 208, 209, 240, 241, 261, 271, 340, 398, 442, 490, 493, 494, 561, 596, 597, 600, 602, 603, 605, 607, 609, 612, 613, 655, 689, 691, 694, 696, 721, 724, 735, 788, 893, 894, 930, 933, 950, 975, 976, 979, 996, 1013, 1041, 1042, 1043, 1045, 1088, 1089, 1154, 1157, 1171, 1198, 1213, 1218, 1221, 1233, 1273, 1302, 1303, 1330, 1334, 1395, 1402, 1414, 1434], "draw_spectr": [44, 1436], "similar": [44, 100, 102, 103, 104, 105, 203, 205, 237, 242, 245, 249, 261, 337, 354, 392, 426, 427, 428, 429, 438, 513, 514, 579, 606, 672, 673, 676, 677, 678, 684, 693, 706, 719, 760, 762, 788, 793, 851, 892, 893, 896, 928, 929, 932, 974, 975, 978, 1011, 1012, 1123, 1132, 1275, 1291, 1302, 1306, 1329, 1331, 1334, 1413, 1420, 1422, 1436], "incid": [44, 97, 113, 167, 168, 176, 177, 181, 189, 236, 247, 265, 382, 389, 391, 392, 396, 414, 439, 441, 442, 580, 582, 586, 587, 589, 600, 618, 865, 866, 871, 872, 873, 879, 910, 911, 916, 946, 947, 952, 953, 954, 961, 992, 993, 998, 1064, 1065, 1171, 1193, 1273, 1288, 1333, 1436], "highli": [44, 100, 375, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 793, 1045, 1411, 1416], "closer": [44, 754, 1403, 1423], "particularli": [44, 95, 98, 1275], "strike": 44, "pull": [44, 92, 94, 97, 98, 100, 101, 102, 105, 107, 108, 112, 1045, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1435], "apart": [44, 1120, 1199], "effect": [44, 103, 104, 113, 153, 304, 324, 436, 440, 452, 478, 690, 764, 793, 798, 856, 901, 937, 983, 1040, 1042, 1043, 1183, 1228, 1308, 1413], "c0": 44, "332": 44, "remove_edg": [44, 90, 194, 392, 393, 399, 502, 692, 701, 742, 743, 884, 923, 966, 1006, 1402, 1403, 1436], "334": 44, "335": 44, "336": [44, 443, 447, 448], "337": 44, "338": 44, "339": [44, 85, 86], "259": [44, 48, 113], "plot_spectral_grid": [44, 48], "christofid": [45, 113, 233, 1422], "calcul": [45, 57, 97, 224, 281, 296, 298, 299, 300, 306, 307, 308, 316, 317, 318, 319, 320, 321, 331, 337, 338, 343, 382, 387, 393, 472, 478, 566, 568, 616, 621, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 675, 751, 778, 793, 1171, 1205, 1413, 1416, 1421, 1422, 1425], "rout": [45, 50, 56, 80, 86, 87, 113, 1041, 1042, 1043, 1205], "minim": [45, 57, 103, 113, 116, 145, 228, 229, 230, 231, 232, 233, 281, 343, 424, 451, 472, 496, 503, 585, 621, 659, 693, 788, 1046, 1109, 1110, 1112, 1117, 1120, 1205, 1206, 1256, 1329, 1387, 1388, 1414, 1434], "cost": [45, 102, 103, 113, 228, 230, 231, 232, 236, 460, 461, 473, 474, 475, 476, 477, 496, 498, 499, 503, 506, 507, 510, 628, 629, 634, 635, 637, 638, 654, 665, 673, 674, 675, 676, 721, 735, 760, 1039, 1084, 1088, 1091, 1101, 1103, 1105, 1107, 1111, 1302, 1408, 1411, 1414, 1415, 1421], "19": [45, 65, 67, 78, 94, 301, 348, 364, 487, 488, 489, 502, 503, 1415, 1418, 1434, 1436], "nx_app": 45, "depot": 45, "hypot": [45, 1423], "edge_list": 45, "closest": [45, 58, 227], "094": [45, 48], "plot_tsp": [45, 48], "allow": [46, 50, 53, 56, 70, 89, 93, 100, 101, 102, 103, 104, 106, 108, 111, 112, 113, 165, 169, 185, 190, 232, 233, 281, 288, 375, 425, 466, 469, 493, 494, 536, 546, 593, 594, 661, 673, 675, 682, 695, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 798, 867, 875, 880, 912, 918, 948, 957, 962, 994, 1001, 1040, 1041, 1042, 1043, 1048, 1049, 1069, 1107, 1120, 1127, 1128, 1129, 1136, 1176, 1181, 1183, 1186, 1191, 1194, 1199, 1221, 1228, 1235, 1275, 1281, 1282, 1283, 1301, 1302, 1303, 1308, 1332, 1356, 1402, 1403, 1404, 1405, 1407, 1408, 1413, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1426, 1431, 1434, 1436], "mailbox": 46, "address": [46, 98, 100, 104, 105, 108, 1287, 1414, 1417, 1422], "link": [46, 50, 53, 55, 94, 98, 100, 102, 104, 105, 106, 112, 240, 241, 285, 290, 306, 325, 326, 382, 387, 388, 389, 391, 392, 396, 414, 433, 436, 453, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 595, 760, 798, 1040, 1042, 1043, 1153, 1175, 1177, 1178, 1188, 1189, 1190, 1208, 1222, 1233, 1240, 1293, 1331, 1365, 1369, 1370, 1371, 1393, 1405, 1411, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1426, 1432, 1433, 1434, 1436], "sender": [46, 93], "receiv": [46, 93, 300, 498, 506, 507, 510, 527, 537, 557, 673, 674, 675, 676], "messag": [46, 93, 94, 95, 101, 102, 153, 158, 159, 196, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1421, 1422, 1423, 1434], "hold": [46, 89, 101, 152, 160, 167, 176, 189, 191, 197, 199, 201, 209, 228, 240, 241, 242, 243, 244, 245, 248, 253, 267, 298, 299, 304, 307, 308, 312, 316, 317, 324, 325, 326, 328, 331, 332, 354, 357, 358, 382, 383, 385, 386, 387, 493, 595, 649, 689, 690, 691, 740, 798, 855, 860, 865, 871, 879, 881, 887, 888, 890, 900, 905, 910, 926, 941, 946, 952, 961, 963, 969, 970, 972, 987, 992, 1009, 1023, 1040, 1042, 1043, 1105, 1106, 1108, 1111, 1115, 1118, 1120, 1127, 1128, 1129, 1293, 1294, 1402, 1416, 1418, 1436], "call": [46, 56, 59, 64, 94, 95, 98, 102, 103, 113, 115, 133, 142, 165, 169, 185, 190, 207, 213, 231, 232, 245, 250, 327, 340, 343, 348, 349, 396, 412, 414, 416, 418, 419, 420, 421, 428, 452, 454, 455, 466, 472, 493, 494, 496, 500, 501, 504, 505, 508, 509, 511, 512, 519, 527, 532, 537, 542, 547, 557, 586, 588, 590, 608, 617, 654, 660, 673, 674, 675, 676, 680, 693, 734, 762, 764, 769, 788, 867, 875, 880, 912, 918, 948, 950, 957, 962, 994, 996, 1001, 1039, 1041, 1044, 1048, 1049, 1050, 1088, 1089, 1090, 1091, 1100, 1104, 1120, 1125, 1126, 1127, 1129, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1160, 1161, 1192, 1205, 1263, 1275, 1302, 1308, 1309, 1329, 1334, 1369, 1370, 1388, 1402, 1413, 1414, 1415, 1416, 1422, 1423, 1433, 1434], "unix_email": 46, "mbox": [46, 259, 260], "alic": 46, "To": [46, 53, 55, 58, 59, 94, 95, 98, 100, 102, 103, 104, 111, 112, 153, 158, 159, 168, 181, 185, 196, 200, 208, 233, 239, 270, 271, 272, 273, 274, 275, 276, 277, 283, 286, 298, 299, 300, 317, 347, 348, 349, 359, 376, 382, 385, 390, 392, 394, 408, 455, 457, 462, 468, 471, 490, 510, 513, 514, 525, 588, 599, 602, 606, 638, 680, 681, 705, 706, 709, 713, 754, 764, 791, 798, 856, 858, 859, 866, 873, 875, 886, 889, 894, 901, 903, 904, 911, 916, 918, 925, 927, 930, 936, 937, 939, 940, 947, 954, 957, 968, 971, 976, 982, 983, 985, 986, 993, 998, 1001, 1008, 1010, 1013, 1040, 1041, 1042, 1043, 1045, 1064, 1066, 1069, 1085, 1115, 1117, 1126, 1181, 1183, 1188, 1190, 1199, 1204, 1218, 1228, 1273, 1278, 1301, 1308, 1330, 1331, 1332, 1334, 1337, 1339, 1340, 1342, 1343, 1365, 1369, 1370, 1371, 1377, 1381, 1402, 1408, 1410, 1411, 1413, 1414, 1417, 1436], "bob": 46, "gov": [46, 111, 1402, 1403, 1406, 1407, 1408, 1409, 1415], "ted": 46, "packag": [46, 51, 54, 55, 57, 58, 59, 87, 94, 104, 107, 108, 111, 116, 128, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 511, 512, 617, 852, 897, 933, 979, 1041, 1045, 1199, 1203, 1304, 1307, 1308, 1310, 1332, 1334, 1402, 1404, 1412, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "togeth": [46, 93, 103, 212, 290, 514, 680, 788, 1152, 1329, 1332, 1347, 1348, 1350, 1361, 1362, 1363, 1364, 1389, 1391, 1416, 1436], "lunch": 46, "discuss": [46, 93, 98, 100, 101, 106, 107, 108, 311, 312, 316, 332, 348, 349, 618, 620, 621, 1223, 1329, 1390, 1402, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "carol": [46, 1261], "getaddress": 46, "parseaddr": 46, "recip": [46, 662, 669], "doc": [46, 94, 100, 102, 107, 166, 203, 205, 283, 568, 622, 751, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1045, 1108, 1203, 1379, 1381, 1382, 1397, 1405, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1429, 1430, 1431, 1433, 1434], "mbox_graph": 46, "pars": [46, 66, 267, 1338, 1342, 1354, 1355, 1357, 1358, 1376, 1380, 1383, 1384, 1389, 1391, 1393, 1407, 1415, 1417, 1423, 1428, 1434], "msg": [46, 94, 104], "source_nam": 46, "source_addr": 46, "recipi": 46, "tos": 46, "get_al": 46, "cc": [46, 72, 128, 143, 144, 323, 425, 427, 1422], "resent_to": 46, "resent": 46, "resent_cc": 46, "all_recipi": 46, "now": [46, 55, 76, 77, 94, 98, 102, 133, 382, 756, 764, 966, 1006, 1183, 1223, 1284, 1285, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1434, 1436], "mail": [46, 93, 94, 95, 100, 101, 104, 105, 107, 1402, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "target_nam": 46, "target_addr": 46, "227": 46, "208": [46, 48, 81, 113], "plot_unix_email": [46, 48], "elarg": 47, "esmal": 47, "font_famili": [47, 1139, 1140, 1142], "san": [47, 133, 734, 1139, 1140, 1142, 1245], "serif": [47, 1139, 1140, 1142], "edge_label": [47, 68, 1127, 1128, 1129, 1140], "get_edge_attribut": [47, 1088, 1413], "draw_networkx_edge_label": [47, 68, 1136, 1139, 1141, 1142, 1143, 1422], "090": [47, 48], "plot_weighted_graph": [47, 48], "04": [48, 327], "314": 48, "auto_examples_draw": 48, "javascript": [49, 52, 87, 1365, 1369, 1371, 1408, 1415, 1419, 1422], "igraph": [49, 52, 87, 1422], "json": [50, 59, 1331, 1365, 1367, 1368, 1369, 1370, 1371, 1392, 1408, 1411, 1415, 1416, 1420, 1421], "d3": [50, 1393, 1408, 1415], "need": [50, 55, 58, 59, 74, 77, 80, 82, 84, 85, 87, 94, 95, 98, 100, 102, 103, 104, 105, 108, 112, 185, 209, 221, 231, 232, 233, 298, 302, 303, 309, 310, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 428, 429, 452, 468, 514, 579, 596, 600, 656, 657, 693, 719, 720, 721, 732, 735, 763, 782, 788, 875, 918, 949, 956, 957, 995, 1000, 1001, 1041, 1048, 1112, 1142, 1186, 1199, 1206, 1214, 1278, 1302, 1332, 1334, 1351, 1354, 1355, 1356, 1382, 1387, 1388, 1390, 1403, 1411, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1425, 1430, 1434, 1436], "directori": [50, 54, 87, 94, 98, 100, 103, 112, 1415, 1421, 1422, 1436], "flask": 50, "barbell_graph": [50, 94, 126, 294, 295, 387, 389, 391, 393, 422, 423, 426, 445, 697, 698, 1282, 1388, 1414, 1434, 1436], "mous": 50, "hover": 50, "json_graph": [50, 96, 1365, 1366, 1371, 1372, 1411, 1422, 1423, 1434], "node_link_data": [50, 96, 1365, 1366, 1370, 1371, 1372, 1392], "serial": [50, 1365, 1369, 1370, 1371], "dump": [50, 1365, 1369, 1370, 1371, 1411, 1413, 1414, 1421], "wrote": 50, "serv": [50, 93], "cross": [50, 59, 70, 94, 311, 1109, 1110, 1112, 1117, 1259, 1422], "request": [50, 66, 92, 93, 94, 97, 98, 100, 101, 103, 105, 108, 167, 169, 176, 177, 185, 189, 190, 579, 865, 867, 871, 872, 875, 879, 880, 910, 912, 918, 946, 948, 952, 953, 957, 961, 962, 992, 994, 1001, 1045, 1046, 1087, 1404, 1415, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1435], "app": 50, "__name__": [50, 1302], "static_fold": 50, "static_proxi": 50, "send_static_fil": 50, "ngo": 50, "localhost": 50, "8000": [50, 69], "port": [50, 1361, 1362, 1363, 1364, 1391, 1420], "javascript_forc": [50, 52], "popular": [51, 94, 102, 1436], "among": [51, 95, 101, 108, 111, 221, 227, 264, 265, 311, 375, 380, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 430, 466, 502, 504, 505, 508, 509, 583, 627, 634, 635, 637, 638, 1278, 1411], "ig": 51, "dense_gnm_random_graph": [51, 1237, 1415], "30": [51, 65, 67, 69, 84, 102, 261, 262, 263, 290, 298, 299, 307, 308, 316, 348, 363, 364, 385, 386, 557, 593, 594, 688, 695, 705, 1176, 1230, 1234, 1238, 1252, 1254, 1260, 1405, 1412, 1419, 1436], "42": [51, 65, 89, 94, 348, 349, 459, 460, 461, 627, 1175, 1177, 1187, 1277, 1325, 1334, 1344], "from_networkx": 51, "nrow": 51, "ncol": 51, "draw_kamada_kawai": 51, "layout_kamada_kawai": 51, "grg": 51, "to_networkx": [51, 55, 56, 58, 59], "484": [51, 52], "plot_igraph": [51, 52], "auto_examples_extern": 52, "shapefil": [53, 57, 1406, 1410, 1415, 1417], "howev": [53, 56, 89, 100, 102, 104, 111, 116, 133, 230, 289, 325, 326, 339, 347, 348, 349, 391, 469, 514, 724, 740, 755, 763, 793, 798, 949, 995, 1040, 1041, 1042, 1043, 1105, 1106, 1181, 1223, 1284, 1285, 1302, 1306, 1404, 1414, 1436], "recommend": [53, 94, 100, 104, 106, 111, 116, 297, 302, 303, 304, 309, 310, 324, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 431, 498, 596, 597, 600, 602, 603, 672, 677, 1045, 1284, 1285, 1332, 1369, 1370, 1411, 1414, 1416, 1422, 1434], "includ": [53, 70, 89, 93, 94, 96, 97, 100, 101, 103, 104, 105, 106, 107, 108, 110, 111, 116, 133, 157, 160, 161, 185, 191, 201, 207, 228, 229, 230, 231, 232, 233, 239, 244, 265, 281, 298, 316, 332, 340, 349, 357, 359, 362, 442, 445, 449, 452, 455, 458, 459, 463, 490, 494, 514, 577, 586, 601, 604, 617, 631, 637, 654, 656, 660, 674, 675, 677, 690, 719, 720, 721, 724, 725, 726, 727, 728, 734, 735, 764, 774, 777, 793, 798, 857, 860, 861, 875, 881, 890, 902, 905, 906, 918, 938, 941, 942, 957, 963, 972, 984, 987, 988, 1001, 1039, 1040, 1042, 1043, 1045, 1048, 1088, 1091, 1105, 1127, 1129, 1131, 1132, 1141, 1171, 1179, 1185, 1195, 1200, 1221, 1223, 1275, 1301, 1302, 1313, 1318, 1329, 1332, 1334, 1391, 1397, 1402, 1404, 1405, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1431, 1434, 1435, 1436], "geopanda": [53, 55, 56, 57, 58, 59, 108], "interoper": [53, 97, 1353], "storag": [53, 102, 788, 1332], "mechan": [53, 100, 102, 103, 111, 275, 360, 385, 387, 1334, 1391, 1417, 1419], "databas": [53, 428, 788], "panda": [53, 55, 58, 94, 102, 108, 1100, 1102, 1103, 1106, 1107, 1331, 1404, 1414, 1415, 1421, 1422, 1423], "tabular": 53, "orient": [53, 71, 93, 165, 207, 340, 452, 617, 620, 621, 638, 703, 710, 718, 719, 720, 754, 755, 791, 793, 1288, 1371, 1404], "well": [53, 56, 59, 93, 98, 100, 104, 105, 106, 108, 110, 111, 166, 167, 169, 176, 180, 185, 189, 190, 211, 306, 331, 382, 400, 470, 547, 603, 631, 690, 735, 763, 764, 864, 865, 867, 871, 875, 879, 880, 909, 910, 912, 918, 945, 946, 948, 952, 957, 962, 991, 992, 994, 1001, 1058, 1154, 1205, 1284, 1285, 1308, 1309, 1332, 1402, 1413, 1434, 1436], "wide": [53, 94, 106, 570, 574, 621, 777], "predic": [53, 59], "intersect": [53, 56, 212, 479, 480, 618, 619, 734, 760, 774, 1113, 1209, 1210, 1211, 1212, 1223, 1331, 1332, 1403, 1409, 1415, 1422], "area": [53, 100, 788, 1136, 1205, 1208], "polygon": [53, 54, 55, 58, 60, 87], "delaunai": [53, 54, 60, 87], "geograph": [53, 54, 56, 59, 60, 87, 1199, 1204, 1407, 1415], "openstreetmap": [53, 54, 60, 87], "osmnx": [53, 54, 60, 87, 1422], "pysal": [53, 56, 58, 59], "suit": [53, 94, 98, 1041, 1391, 1423], "context": [53, 102, 678, 693, 764, 793, 1223, 1273, 1411, 1420, 1421, 1434, 1436], "levi": [53, 1422], "pleas": [53, 66, 92, 93, 94, 95, 100, 111, 112, 1332, 1351, 1354, 1355, 1356, 1390, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "momepi": [53, 56], "focus": [53, 100, 788, 1275], "urban": 53, "morphologi": 53, "enabl": [53, 103, 104, 108, 133, 166, 312, 788, 864, 909, 936, 945, 982, 991, 1045, 1240, 1302, 1404, 1405, 1419, 1421, 1422, 1423], "multigraph": [53, 89, 94, 102, 103, 152, 153, 157, 158, 159, 161, 163, 164, 166, 171, 172, 173, 179, 187, 188, 194, 195, 196, 199, 200, 203, 205, 208, 210, 211, 212, 213, 225, 227, 270, 272, 274, 277, 284, 288, 292, 294, 296, 305, 322, 330, 339, 341, 342, 344, 345, 388, 424, 426, 427, 428, 431, 445, 449, 450, 452, 462, 469, 490, 492, 496, 500, 501, 504, 505, 511, 512, 517, 557, 563, 564, 565, 567, 587, 589, 590, 600, 603, 604, 607, 609, 612, 613, 614, 617, 654, 659, 660, 679, 698, 719, 720, 734, 736, 738, 744, 745, 764, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 868, 869, 870, 877, 878, 884, 885, 886, 888, 889, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 912, 913, 914, 915, 917, 920, 921, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 942, 943, 944, 945, 949, 950, 951, 956, 958, 959, 960, 966, 967, 968, 970, 971, 974, 975, 976, 1039, 1040, 1041, 1042, 1055, 1063, 1069, 1078, 1083, 1087, 1088, 1091, 1097, 1098, 1100, 1101, 1103, 1104, 1105, 1106, 1107, 1130, 1133, 1160, 1172, 1173, 1181, 1183, 1196, 1197, 1198, 1222, 1223, 1228, 1281, 1282, 1283, 1287, 1288, 1291, 1292, 1295, 1297, 1299, 1301, 1304, 1332, 1348, 1351, 1356, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1367, 1368, 1369, 1370, 1381, 1384, 1402, 1404, 1407, 1408, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1429, 1433], "back": [53, 55, 56, 58, 59, 75, 76, 94, 102, 113, 228, 389, 391, 392, 396, 706, 719, 949, 995, 1041, 1418, 1421], "geodatafram": [53, 56, 57], "analyt": [53, 333], "aim": [53, 94, 108, 110, 788], "morpholog": 53, "street": [53, 55, 56, 57, 58], "configur": [53, 63, 65, 94, 112, 1171, 1181, 1183, 1228, 1293, 1294, 1415, 1422], "tool": [53, 100, 103, 106, 108, 111, 1045, 1199, 1203, 1332, 1416, 1420], "retriev": [53, 57, 100, 566, 568, 1103, 1403], "analyz": [53, 57, 111, 145, 258, 259, 260, 287, 289, 387, 390, 395, 403, 693, 794, 1332, 1407, 1415], "infrastructur": [53, 111, 1415, 1423, 1434], "elev": 53, "grade": [53, 72], "googl": [53, 92, 94, 106, 567, 753, 1332, 1402, 1423], "api": [53, 94, 95, 96, 97, 99, 100, 101, 104, 107, 108, 110, 1332, 1334, 1402, 1403, 1412, 1413, 1428], "speed": [53, 57, 108, 216, 292, 293, 348, 349, 425, 429, 511, 798, 1040, 1042, 1043, 1139, 1141, 1179, 1200, 1402, 1411, 1415, 1417, 1419, 1420, 1421, 1422, 1423, 1434], "bear": 53, "also": [53, 55, 56, 57, 58, 59, 64, 76, 89, 93, 94, 95, 96, 98, 100, 102, 103, 104, 106, 108, 111, 112, 157, 160, 163, 169, 177, 178, 181, 185, 190, 191, 201, 208, 209, 212, 227, 231, 281, 288, 294, 302, 303, 304, 309, 310, 324, 325, 326, 344, 348, 371, 390, 393, 413, 414, 418, 419, 420, 421, 425, 426, 427, 429, 437, 442, 452, 466, 467, 468, 469, 472, 502, 503, 504, 505, 508, 509, 510, 511, 513, 514, 547, 557, 579, 583, 587, 589, 599, 602, 606, 607, 609, 612, 613, 614, 617, 620, 678, 681, 690, 692, 693, 743, 762, 763, 788, 798, 852, 857, 860, 862, 867, 872, 873, 875, 880, 881, 890, 894, 897, 902, 905, 907, 912, 916, 918, 930, 933, 938, 941, 943, 948, 950, 953, 954, 957, 962, 972, 976, 979, 984, 987, 989, 994, 996, 998, 1001, 1013, 1040, 1042, 1043, 1085, 1097, 1105, 1106, 1120, 1127, 1128, 1129, 1136, 1139, 1140, 1141, 1142, 1143, 1148, 1151, 1160, 1171, 1196, 1198, 1199, 1201, 1205, 1223, 1228, 1230, 1234, 1236, 1238, 1253, 1259, 1263, 1275, 1276, 1278, 1284, 1285, 1301, 1302, 1303, 1308, 1309, 1330, 1332, 1349, 1358, 1369, 1384, 1386, 1390, 1402, 1404, 1411, 1413, 1416, 1418, 1420, 1421, 1422, 1423, 1426, 1434, 1436], "osm": [53, 57], "footprint": [53, 89], "public": [53, 93, 101, 111, 258, 259, 260, 287, 289, 327, 332, 444, 449, 450, 557, 764, 1334, 1421, 1422, 1423, 1428, 1436], "park": 53, "school": 53, "transit": [53, 71, 104, 214, 327, 469, 470, 471, 547, 567, 568, 588, 750, 752, 760, 763, 1208, 1240, 1241, 1252, 1289, 1290, 1404, 1413, 1415, 1417, 1420, 1422], "etc": [53, 89, 95, 96, 100, 102, 103, 108, 112, 152, 153, 157, 158, 159, 161, 163, 164, 166, 169, 171, 172, 173, 187, 188, 190, 193, 194, 195, 196, 199, 200, 203, 205, 233, 268, 347, 617, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 861, 862, 863, 864, 867, 868, 869, 870, 877, 878, 880, 883, 884, 885, 886, 888, 889, 892, 893, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 906, 907, 908, 909, 910, 912, 913, 914, 915, 917, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 931, 932, 933, 934, 935, 937, 938, 939, 940, 942, 943, 944, 945, 951, 956, 959, 960, 966, 967, 968, 970, 971, 975, 977, 978, 980, 981, 983, 984, 985, 986, 988, 989, 990, 991, 992, 997, 999, 1000, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1041, 1055, 1069, 1078, 1083, 1087, 1136, 1140, 1142, 1160, 1302, 1309, 1330, 1339, 1343, 1344, 1404, 1413, 1414, 1416, 1436], "essenti": [53, 104, 348, 1041, 1223, 1240, 1332], "task": [53, 468, 1045], "relationship": [53, 56, 59, 71, 306, 690, 1332], "featur": [53, 92, 94, 95, 98, 100, 103, 104, 105, 106, 108, 111, 384, 496, 514, 621, 798, 1040, 1041, 1042, 1043, 1045, 1120, 1136, 1139, 1223, 1302, 1334, 1390, 1391, 1405, 1409, 1410, 1412, 1413, 1416, 1419, 1420, 1421, 1434], "queen": [53, 56, 59], "rook": [53, 55, 59], "brief": [53, 94, 133, 621], "explan": [53, 95, 106, 162, 681], "represent": [53, 111, 203, 205, 238, 243, 246, 247, 248, 266, 267, 269, 283, 284, 329, 514, 557, 631, 730, 732, 764, 788, 892, 893, 928, 974, 975, 1011, 1094, 1095, 1097, 1098, 1101, 1102, 1103, 1104, 1120, 1123, 1132, 1136, 1276, 1287, 1332, 1338, 1341, 1342, 1345, 1347, 1353, 1376, 1387, 1388, 1391, 1399, 1402, 1408, 1414, 1415, 1422], "primal": [53, 56, 510, 583], "dual": [53, 55, 56, 583, 1233, 1419, 1422], "sens": [53, 98, 100, 105, 200, 311, 462, 588, 793, 889, 927, 971, 1010, 1223, 1240, 1275, 1332, 1412, 1413], "approach": [53, 56, 100, 102, 104, 105, 108, 116, 343, 347, 464, 466, 468, 502, 521, 618, 680, 1097, 1181, 1194, 1208, 1228, 1416, 1422], "segment": [53, 56, 340], "major": [53, 96, 99, 100, 101, 103, 104, 105, 107, 108, 1402, 1403, 1412, 1413, 1416], "studi": [53, 92, 111, 608, 1198, 1202, 1329, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "topologi": [53, 56, 437, 438, 514, 683, 685, 750, 1208, 1223, 1231, 1235, 1239, 1247, 1332], "encod": [53, 56, 59, 68, 100, 142, 250, 268, 269, 621, 760, 777, 1332, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1350, 1351, 1354, 1355, 1356, 1360, 1361, 1364, 1369, 1374, 1377, 1378, 1381, 1382, 1390, 1415, 1416, 1421], "angular": [53, 56], "inform": [53, 67, 93, 94, 100, 101, 102, 103, 104, 108, 112, 113, 122, 133, 160, 166, 201, 203, 205, 221, 227, 231, 232, 250, 302, 303, 304, 309, 310, 315, 324, 325, 326, 327, 340, 407, 408, 440, 455, 457, 482, 490, 502, 514, 566, 568, 570, 574, 575, 576, 585, 594, 616, 621, 626, 693, 777, 784, 788, 798, 860, 864, 890, 892, 893, 905, 909, 928, 929, 941, 945, 972, 974, 975, 987, 991, 1011, 1012, 1040, 1042, 1043, 1045, 1115, 1147, 1149, 1191, 1212, 1220, 1222, 1223, 1224, 1225, 1273, 1286, 1296, 1302, 1362, 1379, 1381, 1382, 1389, 1391, 1397, 1398, 1402, 1403, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "angl": [53, 56, 1117, 1119, 1127, 1128, 1129], "instead": [53, 94, 95, 102, 103, 104, 107, 142, 166, 171, 283, 321, 340, 368, 372, 392, 394, 401, 407, 408, 409, 413, 414, 418, 419, 420, 421, 426, 427, 429, 502, 563, 564, 565, 587, 589, 634, 729, 731, 733, 735, 736, 737, 738, 739, 798, 864, 868, 909, 913, 945, 949, 991, 995, 1040, 1041, 1042, 1043, 1045, 1100, 1105, 1106, 1130, 1133, 1141, 1178, 1185, 1190, 1192, 1198, 1199, 1205, 1213, 1223, 1306, 1348, 1381, 1387, 1388, 1391, 1402, 1403, 1404, 1406, 1408, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1432, 1433, 1434, 1436], "nonplanar": [53, 1256], "form": [53, 56, 106, 111, 152, 171, 221, 239, 379, 383, 393, 424, 429, 442, 451, 452, 453, 490, 502, 519, 523, 569, 570, 571, 572, 573, 574, 575, 576, 580, 581, 582, 590, 591, 679, 681, 699, 713, 719, 720, 721, 731, 732, 733, 750, 754, 769, 788, 793, 855, 868, 900, 913, 936, 949, 982, 995, 1041, 1067, 1088, 1152, 1173, 1205, 1212, 1221, 1223, 1228, 1246, 1249, 1251, 1254, 1258, 1408, 1415, 1416, 1436], "flow": [53, 67, 106, 279, 297, 302, 303, 304, 309, 310, 324, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 425, 429, 430, 432, 433, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 521, 561, 758, 760, 1273, 1331, 1404, 1408, 1409, 1412, 1415, 1416, 1417, 1420, 1423, 1434], "dead": 53, "detail": [53, 54, 87, 93, 94, 98, 100, 101, 129, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 283, 285, 286, 287, 288, 289, 298, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 424, 429, 478, 496, 500, 501, 502, 511, 512, 513, 514, 576, 693, 713, 722, 737, 739, 793, 798, 1040, 1042, 1043, 1045, 1105, 1108, 1139, 1143, 1146, 1213, 1302, 1325, 1351, 1354, 1355, 1356, 1387, 1402, 1408, 1409, 1410, 1411, 1415, 1422, 1423, 1436], "methodologi": 53, "avail": [53, 94, 100, 101, 102, 104, 142, 185, 227, 233, 281, 424, 427, 428, 587, 589, 782, 875, 918, 957, 1001, 1042, 1045, 1200, 1202, 1203, 1204, 1334, 1337, 1340, 1402, 1403, 1405, 1411, 1414, 1415, 1418, 1421, 1422, 1436], "1016": [53, 113, 227, 232, 275, 298, 299, 300, 304, 307, 308, 314, 323, 324, 340, 348, 349, 457, 762, 1239], "compenvurbsi": 53, "2017": [53, 228, 514, 1213, 1214, 1415, 1416], "004": [53, 343], "scienc": [53, 92, 102, 106, 108, 110, 111, 113, 220, 229, 250, 297, 302, 303, 304, 309, 310, 324, 327, 348, 349, 411, 414, 433, 443, 447, 448, 455, 478, 500, 620, 621, 682, 683, 685, 1209, 1229, 1261], "pydata": [53, 1422, 1432, 1433, 1434], "stack": [53, 112, 348, 695, 1048, 1049], "showcas": [54, 87, 94, 110], "analys": [54, 71, 87, 311], "ecosystem": [54, 87, 100, 101, 105, 108, 111, 1434], "descript": [54, 87, 94, 98, 466, 468, 706, 719, 788, 1127, 1128, 1129, 1136, 1137, 1138, 1139, 1144, 1145, 1146, 1147, 1148, 1213, 1228, 1248, 1416, 1420, 1422, 1430, 1431], "plu": [55, 388, 585, 1039, 1091, 1154, 1259], "voronoi": [55, 754, 760, 1331, 1416], "cholera": [55, 58], "broad": [55, 58, 106, 1302], "pump": [55, 58], "record": [55, 58, 95, 100, 693, 1436], "john": [55, 58, 92, 279, 570, 574, 687, 1211, 1256, 1417, 1422], "snow": [55, 58], "1853": [55, 58], "method": [55, 58, 59, 76, 89, 93, 94, 96, 102, 103, 104, 108, 113, 144, 162, 165, 166, 186, 187, 188, 191, 201, 203, 205, 207, 208, 227, 232, 233, 251, 261, 262, 263, 300, 302, 303, 304, 309, 310, 312, 313, 324, 325, 338, 376, 378, 381, 382, 383, 387, 425, 442, 453, 464, 478, 502, 516, 529, 539, 547, 566, 568, 570, 574, 583, 585, 602, 606, 617, 634, 635, 637, 638, 656, 657, 658, 673, 674, 675, 676, 686, 694, 721, 722, 735, 740, 754, 777, 788, 854, 864, 876, 877, 878, 881, 890, 892, 893, 894, 899, 909, 919, 920, 921, 928, 929, 930, 935, 936, 937, 945, 958, 959, 960, 974, 975, 976, 981, 982, 983, 991, 1002, 1003, 1004, 1011, 1012, 1013, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1041, 1046, 1047, 1048, 1049, 1069, 1180, 1188, 1190, 1199, 1203, 1281, 1282, 1283, 1286, 1302, 1307, 1308, 1329, 1332, 1369, 1404, 1408, 1412, 1413, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1434, 1436], "shown": [55, 58, 101, 103, 519, 520, 949, 995, 1045, 1281, 1282, 1283, 1306, 1355, 1387, 1388, 1413], "centroid": [55, 58, 59], "libpys": [55, 56, 58, 59], "cg": [55, 103, 297, 302, 303, 304, 309, 310, 324, 590], "voronoi_fram": 55, "contextili": [55, 56, 58], "add_basemap": [55, 56, 58], "geopackag": [55, 56, 57, 58], "sqlite": [55, 58], "reli": [55, 58, 100, 104, 364, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 504, 505, 508, 509, 1402, 1416, 1420, 1434], "fiona": [55, 58], "level": [55, 58, 102, 104, 105, 107, 112, 113, 116, 126, 166, 221, 323, 336, 338, 376, 382, 383, 389, 391, 392, 396, 425, 429, 642, 693, 772, 788, 864, 909, 945, 991, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1097, 1111, 1161, 1208, 1213, 1214, 1242, 1302, 1329, 1334, 1405, 1408, 1416, 1421, 1422, 1423], "interfac": [55, 58, 59, 76, 77, 97, 99, 100, 102, 103, 108, 110, 111, 185, 431, 498, 675, 760, 763, 764, 782, 875, 918, 957, 1001, 1045, 1047, 1332, 1334, 1402, 1405, 1407, 1411, 1413, 1414, 1415, 1418, 1422, 1423, 1434, 1436], "kind": [55, 58, 59, 93, 94, 95, 100, 209, 468, 724, 1208, 1332, 1391], "read_fil": [55, 56, 58, 59], "cholera_cas": [55, 58], "gpkg": [55, 57, 58], "correctli": [55, 165, 325, 326, 1402, 1413, 1415, 1420, 1421, 1428, 1434], "construct": [55, 56, 57, 58, 59, 68, 95, 103, 228, 230, 231, 232, 233, 270, 274, 277, 354, 425, 452, 462, 515, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 611, 687, 697, 710, 718, 734, 1045, 1049, 1050, 1055, 1056, 1104, 1105, 1106, 1107, 1108, 1159, 1160, 1181, 1183, 1184, 1186, 1192, 1196, 1197, 1198, 1201, 1209, 1213, 1214, 1215, 1216, 1223, 1225, 1228, 1235, 1242, 1257, 1265, 1269, 1275, 1278, 1284, 1285, 1302, 1329, 1333, 1387, 1388, 1404, 1408, 1415, 1418, 1424, 1434], "column_stack": [55, 58, 59], "could": [55, 94, 102, 103, 104, 106, 166, 216, 217, 225, 583, 681, 864, 909, 945, 991, 1069, 1097, 1105, 1106, 1123, 1132, 1180, 1302, 1306, 1332, 1402, 1413, 1423, 1436], "present": [55, 59, 94, 108, 111, 133, 185, 221, 227, 316, 317, 332, 359, 361, 431, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 569, 583, 596, 597, 599, 602, 603, 606, 634, 635, 637, 638, 661, 672, 751, 788, 875, 918, 957, 1001, 1046, 1048, 1064, 1085, 1127, 1128, 1129, 1156, 1158, 1163, 1165, 1166, 1169, 1171, 1284, 1285, 1359, 1360, 1363, 1389, 1391, 1416, 1420, 1436], "alongsid": [55, 440], "diagram": [55, 133, 383, 754], "intrins": 55, "put": [55, 93, 96, 103, 227, 1332, 1413, 1415], "underli": [55, 102, 103, 133, 153, 158, 159, 162, 196, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 492, 493, 502, 617, 744, 745, 793, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1041, 1231, 1239, 1247, 1332, 1402, 1403, 1411], "quickli": [55, 1245], "Be": [55, 93, 1041, 1141, 1413], "care": [55, 93, 101, 103, 107, 108, 110, 116, 157, 857, 902, 938, 984, 1041, 1332, 1413, 1415], "bound": [55, 113, 215, 216, 217, 218, 221, 225, 228, 265, 301, 344, 354, 439, 442, 677, 1046, 1171, 1241, 1325, 1422, 1423, 1425], "box": [55, 108, 1140, 1142, 1277, 1329], "control": [55, 169, 180, 190, 205, 231, 232, 325, 326, 452, 469, 867, 880, 893, 912, 948, 962, 994, 1334, 1411, 1417, 1418, 1422, 1434], "cell": [55, 59, 754, 760, 1277, 1329, 1331, 1416], "convex": 55, "hull": 55, "contigu": [55, 59, 440, 1105, 1283, 1284], "being": [55, 93, 95, 96, 100, 102, 103, 110, 218, 228, 466, 467, 468, 561, 562, 713, 1041, 1048, 1150, 1181, 1242, 1302, 1402, 1403, 1416, 1421, 1422, 1425, 1434], "face": [55, 102, 103, 116, 184, 207, 617, 1046, 1268, 1269], "analogu": [55, 59, 231], "von": 55, "neuman": 55, "neighborhood": [55, 59, 115, 214, 241, 250, 286, 287, 325, 326, 514, 692, 788, 1195], "cardin": [55, 116, 219, 222, 265, 278, 279, 280, 281, 341, 343, 345, 347, 416, 417, 418, 419, 430, 442, 443, 446, 448, 583, 585, 613, 693, 1404], "regular": [55, 59, 66, 89, 100, 479, 480, 481, 482, 624, 625, 626, 760, 1041, 1191, 1196, 1197, 1198, 1245, 1251, 1256, 1257, 1260, 1264, 1267, 1268, 1269, 1270, 1286, 1296, 1329, 1331, 1403, 1404, 1407, 1415, 1421, 1422, 1434], "come": [55, 94, 101, 102, 103, 106, 519, 579, 590, 600, 610, 679, 700, 701, 1049, 1249, 1332, 1411, 1422], "piec": [55, 376], "move": [55, 95, 96, 101, 102, 106, 231, 232, 379, 382, 1120, 1213, 1216, 1402, 1404, 1413, 1414, 1415, 1416, 1420, 1422, 1425, 1428, 1430, 1434], "chessboard": 55, "from_datafram": [55, 56, 58, 59], "built": [55, 70, 94, 103, 104, 107, 231, 232, 364, 466, 1105, 1106, 1108, 1188, 1189, 1190, 1302, 1334, 1405, 1436], "relev": [55, 94, 100, 102, 104, 105, 107, 133, 169, 177, 185, 190, 499, 503, 506, 507, 510, 659, 867, 872, 875, 880, 912, 918, 948, 953, 957, 962, 994, 1001, 1087, 1313, 1318, 1329, 1420, 1426], "delaunay_graph": 55, "merg": [55, 58, 59, 94, 100, 101, 107, 385, 586, 587, 589, 1328, 1412], "nice": [55, 58, 59, 102, 106, 215, 348, 496, 1064, 1334, 1388, 1419], "basemap": [55, 58, 59], "lightblu": [55, 59], "cornsilk": 55, "170": [55, 60], "plot_delaunai": [55, 60], "sometim": [56, 64, 93, 95, 100, 103, 110, 200, 348, 349, 613, 731, 733, 889, 927, 971, 1010, 1046, 1120, 1161, 1253, 1334, 1413], "linestr": 56, "altern": [56, 59, 77, 93, 100, 112, 133, 151, 270, 334, 335, 379, 386, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 504, 505, 508, 509, 521, 617, 782, 917, 999, 1041, 1105, 1106, 1108, 1180, 1199, 1205, 1284, 1285, 1287, 1332, 1334, 1337, 1340, 1411, 1416, 1434], "ll": [56, 58, 59, 94, 1334, 1436], "river": 56, "via": [56, 74, 77, 81, 87, 92, 93, 100, 101, 102, 104, 112, 129, 153, 158, 191, 201, 316, 332, 381, 440, 452, 473, 474, 475, 476, 477, 548, 549, 550, 569, 575, 620, 621, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 692, 713, 760, 764, 798, 856, 858, 881, 890, 901, 903, 937, 939, 983, 985, 1040, 1041, 1042, 1043, 1045, 1048, 1074, 1139, 1141, 1152, 1160, 1163, 1171, 1276, 1279, 1302, 1332, 1387, 1388, 1402, 1408, 1413, 1419, 1422, 1436], "furthermor": [56, 102, 364, 424, 699, 793], "raw": [56, 92, 1045], "geojson": [56, 59], "3390": [56, 1420], "data5010008": 56, "nicola": [56, 382], "cadieux": 56, "gdf_to_nx": 56, "sharex": [56, 83], "sharei": [56, 83], "facet": [56, 58], "nx_to_gdf": 56, "spatial_weight": 56, "get_path": 56, "bubenec": 56, "g_primal": 56, "row": [56, 239, 244, 283, 301, 327, 567, 631, 678, 1045, 1100, 1103, 1105, 1106, 1108, 1115, 1127, 1129, 1219, 1221, 1277, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1329, 1415, 1422], "g_dual": 56, "significantli": [56, 95, 110, 740], "978": [56, 60, 297, 302, 303, 304, 309, 310, 324, 433, 576], "plot_lin": [56, 60], "save": [57, 166, 221, 228, 357, 385, 762, 864, 909, 945, 991, 1302, 1332, 1436], "graphml": [57, 112, 1045, 1331, 1332, 1361, 1362, 1363, 1364, 1392, 1403, 1406, 1407, 1410, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1436], "readthedoc": [57, 108, 1405, 1415], "document": [57, 59, 92, 93, 94, 95, 97, 98, 99, 100, 101, 102, 103, 106, 107, 110, 111, 112, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 521, 585, 621, 754, 1045, 1103, 1127, 1129, 1136, 1139, 1140, 1141, 1142, 1143, 1332, 1351, 1354, 1355, 1356, 1365, 1369, 1371, 1390, 1402, 1408, 1411, 1413, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "usag": [57, 96, 100, 108, 306, 798, 1040, 1042, 1043, 1171, 1350, 1414, 1415, 1416, 1421, 1422, 1423, 1425, 1426], "ox": [57, 750, 752], "config": [57, 1413, 1420], "use_cach": 57, "log_consol": 57, "graph_from_point": 57, "79": [57, 454, 455, 515, 1184, 1186], "122": [57, 1241, 1332, 1436], "41": [57, 65, 298, 1192, 1277, 1434], "750": 57, "network_typ": 57, "drive": 57, "imput": 57, "add_edge_spe": 57, "add_edge_travel_tim": 57, "gdf_node": 57, "gdf_edg": 57, "graph_to_gdf": 57, "graph_from_gdf": 57, "graph_attr": [57, 78, 1121, 1125], "choos": [57, 93, 94, 102, 103, 142, 214, 234, 235, 272, 276, 364, 372, 376, 411, 793, 1069, 1114, 1139, 1141, 1191, 1192, 1230, 1234, 1235, 1236, 1238, 1241, 1326, 1327, 1387, 1418, 1434], "travel_tim": 57, "utils_graph": 57, "get_digraph": 57, "bc": [57, 590, 1157], "normal": [57, 100, 238, 239, 243, 244, 246, 258, 259, 260, 297, 298, 299, 300, 301, 302, 303, 305, 306, 307, 308, 309, 310, 315, 316, 322, 323, 325, 326, 327, 328, 329, 330, 332, 358, 449, 566, 571, 600, 627, 687, 690, 691, 735, 736, 737, 738, 739, 1088, 1139, 1140, 1142, 1174, 1281, 1282, 1283, 1284, 1285, 1290, 1292, 1299, 1302, 1306, 1320, 1321, 1410, 1412, 1415, 1422], "set_node_attribut": [57, 239, 252, 600, 762, 1413, 1416], "get_node_colors_by_attr": 57, "plot_graph": 57, "bgcolor": 57, "edge_linewidth": 57, "333333": 57, "save_graph_shapefil": 57, "filepath": [57, 59], "graph_shapefil": 57, "save_graph_geopackag": 57, "save_graphml": 57, "871": [57, 60], "plot_osmnx": [57, 60], "nearest": [58, 240, 664, 1217, 1231, 1239, 1247, 1434], "knn3": 58, "knn": 58, "meter": 58, "band": 58, "pair": [58, 89, 103, 113, 116, 128, 133, 145, 185, 211, 215, 216, 221, 223, 224, 229, 230, 231, 232, 233, 238, 239, 243, 246, 247, 248, 258, 265, 290, 297, 298, 299, 301, 307, 308, 313, 316, 317, 331, 332, 373, 374, 376, 379, 385, 386, 398, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 431, 442, 472, 475, 482, 487, 488, 489, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 527, 528, 536, 537, 538, 546, 557, 561, 562, 567, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 586, 587, 589, 617, 630, 631, 632, 640, 648, 651, 661, 662, 666, 669, 673, 674, 675, 676, 678, 681, 688, 696, 702, 703, 705, 741, 753, 755, 760, 791, 798, 852, 875, 897, 918, 933, 936, 957, 965, 979, 982, 1001, 1005, 1023, 1040, 1042, 1043, 1074, 1088, 1089, 1109, 1110, 1111, 1112, 1113, 1114, 1117, 1118, 1119, 1120, 1150, 1155, 1156, 1162, 1179, 1197, 1200, 1205, 1228, 1326, 1327, 1330, 1332, 1336, 1402, 1404, 1406, 1411, 1413, 1415, 1420, 1436], "distanceband": 58, "from_arrai": 58, "Then": [58, 59, 94, 102, 112, 142, 218, 233, 323, 375, 414, 433, 498, 503, 506, 507, 510, 621, 793, 1045, 1115, 1222, 1231, 1239, 1247, 1278, 1284, 1285, 1302], "knn_graph": 58, "dist_graph": 58, "189": [58, 60], "plot_point": [58, 60], "focu": [59, 95, 108, 110, 1332, 1414], "constructor": [59, 103, 352, 353, 525, 590, 1044, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1246, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1418], "web": [59, 69, 94, 95, 100, 107, 113, 336, 337, 478, 479, 480, 492, 496, 521, 566, 568, 570, 574, 620, 700, 701, 750, 752, 1185, 1199, 1206, 1277, 1329, 1415, 1422], "increasingli": [59, 514], "nuts1": 59, "european_region": 59, "region": [59, 446, 1292, 1403], "boundari": [59, 72, 292, 293, 443, 448, 760, 1140, 1142, 1219, 1221, 1331], "applic": [59, 98, 103, 110, 111, 211, 275, 300, 314, 347, 360, 381, 453, 496, 500, 501, 512, 579, 621, 633, 673, 674, 675, 676, 705, 731, 733, 754, 760, 788, 1183, 1210, 1288, 1391, 1436], "consid": [59, 93, 94, 95, 100, 103, 104, 108, 133, 145, 215, 216, 231, 232, 283, 295, 298, 299, 304, 307, 308, 311, 312, 313, 316, 317, 324, 325, 326, 328, 331, 332, 337, 340, 382, 389, 391, 392, 418, 431, 438, 462, 466, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 522, 523, 527, 537, 547, 557, 563, 564, 565, 574, 576, 577, 588, 600, 602, 606, 673, 674, 675, 676, 677, 678, 680, 681, 682, 689, 690, 691, 692, 693, 762, 764, 777, 793, 1046, 1118, 1123, 1132, 1141, 1181, 1275, 1284, 1285, 1335, 1407, 1408, 1415, 1436], "moor": [59, 385, 387, 1257, 1418], "nine": [59, 1329], "surround": [59, 93, 100, 103, 788, 1422], "pygeo": [59, 1422], "geo": 59, "touch": 59, "extens": [59, 94, 98, 104, 110, 327, 777, 798, 1040, 1042, 1043, 1363, 1390, 1391, 1422], "445": [59, 60], "plot_polygon": [59, 60], "654": 60, "auto_examples_geospati": 60, "dag": [61, 73, 87, 133, 134, 452, 456, 459, 460, 461, 462, 465, 466, 467, 468, 470, 471, 577, 579, 767, 1404, 1410, 1415, 1416, 1420, 1421, 1422, 1434], "topolog": [61, 68, 73, 87, 106, 129, 314, 331, 398, 440, 457, 459, 460, 466, 467, 468, 470, 1407, 1410, 1413, 1415, 1423, 1434], "sequenc": [61, 73, 81, 87, 102, 103, 108, 181, 270, 272, 274, 275, 277, 365, 366, 367, 376, 388, 490, 514, 515, 516, 517, 518, 519, 520, 551, 552, 553, 627, 673, 674, 675, 676, 680, 681, 695, 704, 730, 731, 733, 760, 793, 873, 916, 954, 998, 1105, 1127, 1128, 1129, 1139, 1140, 1141, 1142, 1143, 1150, 1171, 1181, 1182, 1183, 1184, 1185, 1186, 1187, 1205, 1212, 1213, 1214, 1224, 1228, 1243, 1244, 1278, 1279, 1303, 1317, 1321, 1322, 1331, 1407, 1415, 1416, 1422], "renyi": [61, 73, 87, 595, 1407, 1415], "expect": [61, 62, 73, 84, 87, 101, 104, 106, 110, 276, 281, 431, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 673, 674, 675, 676, 688, 729, 1041, 1046, 1088, 1181, 1183, 1185, 1236, 1241, 1242, 1293, 1302, 1325, 1329, 1334, 1407, 1413, 1414, 1415, 1422, 1423], "footbal": [61, 73, 87, 1415], "karat": [61, 73, 87, 1273, 1407, 1415, 1423], "mors": [61, 73, 87, 1430], "trie": [61, 73, 87, 1278], "napoleon": [61, 73, 87, 1415, 1422], "russian": [61, 73, 87, 1415], "campaign": [61, 73, 87, 1415], "roget": [61, 73, 87, 1415], "triad": [61, 73, 87, 361, 746, 748, 749, 750, 751, 752, 760, 1280, 1331, 1404, 1434], "word": [61, 70, 73, 87, 93, 236, 462, 514, 567, 703, 791, 1139, 1141, 1332, 1414, 1422, 1434], "ladder": [61, 73, 87, 1155, 1162], "topological_gener": [62, 68, 760, 1422], "numer": [62, 89, 111, 152, 167, 176, 189, 199, 210, 212, 213, 240, 241, 242, 243, 244, 245, 248, 249, 253, 284, 327, 357, 358, 380, 382, 383, 385, 386, 387, 455, 558, 559, 560, 583, 595, 628, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 660, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 674, 675, 676, 855, 865, 871, 879, 888, 900, 910, 926, 946, 952, 961, 970, 992, 1009, 1103, 1104, 1105, 1106, 1108, 1111, 1118, 1120, 1139, 1141, 1143, 1293, 1294, 1301, 1302, 1332, 1344, 1346, 1364, 1402, 1403, 1408, 1411, 1413, 1415, 1416, 1418, 1422, 1423, 1425, 1428, 1436], "133": [62, 69, 73], "plot_dag_layout": [62, 73], "668273": 63, "is_graph": [63, 760, 1181, 1187], "configuration_model": [63, 276, 1183, 1184, 1187], "062": [63, 73], "plot_degree_sequ": [63, 73], "report": [64, 89, 92, 94, 97, 101, 103, 113, 129, 167, 169, 176, 177, 181, 185, 189, 190, 298, 299, 348, 349, 354, 382, 388, 440, 452, 700, 701, 706, 719, 720, 736, 738, 865, 867, 871, 872, 873, 875, 879, 880, 910, 912, 916, 918, 946, 948, 952, 953, 954, 957, 961, 962, 992, 994, 998, 1001, 1041, 1045, 1127, 1175, 1176, 1177, 1302, 1331, 1411, 1413, 1415, 1416, 1422, 1434, 1436], "erd\u0151": [64, 276, 516, 519, 695, 1202, 1203, 1204, 1230, 1234, 1236, 1238, 1241, 1407, 1415], "r\u00e9nyi": [64, 276, 1202, 1203, 1204, 1230, 1234, 1236, 1238, 1241, 1415], "binomial_graph": [64, 84, 1234, 1238, 1332, 1415], "3333333333333333": [64, 322, 1109], "16666666666666666": 64, "20160": 64, "plot_erdos_renyi": [64, 73], "21": [65, 66, 67, 70, 242, 249, 348, 1088, 1256, 1411, 1415, 1423, 1427], "23": [65, 67, 102, 316, 317, 318, 332, 348, 385, 386, 429, 430, 518, 705, 1406, 1412], "26": [65, 67, 69, 97, 111, 327, 348, 385, 386, 496, 579, 705, 764, 1203, 1301, 1331, 1412], "28": [65, 67, 69, 221, 227, 327, 348, 349, 385, 386, 429, 503, 521, 705, 1043, 1112, 1208, 1410, 1412, 1423], "29": [65, 67, 69, 294, 347, 348, 385, 386, 427, 705, 1412, 1422], "35": [65, 69, 298, 690, 1119, 1179, 1261, 1277, 1412], "39": [65, 302, 303, 309, 310, 325, 326, 343, 1277], "44": [65, 1277], "48": [65, 261, 262, 263, 290, 1206, 1207, 1329, 1425], "49": [65, 379, 407, 408, 608], "51": [65, 301, 424, 616, 1277], "52": [65, 1277, 1426], "53": [65, 69, 521, 1277], "54": [65, 69, 302, 303, 309, 310, 1192, 1277, 1329, 1350], "55": [65, 69, 314, 1150], "56": [65, 1150, 1277], "58": [65, 1187, 1418], "59": 65, "60": [65, 312, 313, 325, 326, 496, 1277], "61": [65, 521], "62": 65, "64": [65, 285, 328, 334, 335, 750, 1183], "65": [65, 94, 228, 1240], "67": [65, 237, 242, 245, 249, 510, 516, 1420], "68": [65, 221, 429], "69": [65, 264, 1270, 1277], "70": [65, 327, 385, 387, 516], "71": [65, 276, 334, 335, 358, 575, 1189, 1193, 1199, 1236], "expected_degree_graph": [65, 1241, 1417], "dh": [65, 590], "degree_histogram": [65, 1422], "031": [65, 73], "plot_expected_degree_sequ": [65, 73], "gml": [66, 96, 1331, 1332, 1351, 1353, 1354, 1355, 1356, 1392, 1404, 1407, 1415, 1416, 1419, 1420, 1421, 1422, 1423, 1434, 1436], "statistc": 66, "unpack": [66, 102, 112, 193, 690, 883, 922, 965, 1005, 1402, 1417, 1436], "internet": [66, 85, 93, 94, 211, 321, 437, 438, 1208, 1329, 1420], "person": [66, 93, 94, 95, 98, 239, 567, 568, 690, 1263, 1272, 1416], "umich": 66, "mejn": 66, "netdata": 66, "american": [66, 221, 312, 313, 429, 446, 689, 691], "ia": 66, "colleg": 66, "dure": [66, 75, 94, 98, 100, 153, 158, 159, 196, 331, 347, 348, 349, 496, 527, 537, 557, 616, 642, 673, 674, 675, 676, 705, 706, 719, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1120, 1171, 1421, 1422], "season": 66, "fall": 66, "girvan": [66, 376, 1416], "newman": [66, 111, 215, 216, 217, 221, 237, 242, 245, 249, 285, 302, 303, 309, 310, 312, 313, 325, 326, 328, 376, 385, 387, 627, 1181, 1183, 1228, 1239, 1275, 1293, 1294, 1298, 1390, 1404, 1416, 1418, 1420], "confer": [66, 111, 133, 316, 323, 332, 347, 348, 349, 428, 446, 570, 574, 576, 592, 595, 672, 673, 674, 675, 676, 677, 678, 692, 734, 1046, 1292, 1425], "belong": [66, 95, 98, 115, 116, 207, 216, 217, 241, 250, 270, 271, 272, 273, 274, 275, 276, 277, 294, 316, 317, 318, 319, 320, 375, 389, 391, 393, 429, 439, 467, 493, 570, 574, 576, 617, 1273, 1277, 1329], "atlant": 66, "coast": 66, "big": [66, 89, 101, 103, 323, 1411], "east": 66, "ten": [66, 502], "twelv": 66, "usa": [66, 111, 133, 312, 313, 325, 326, 570, 574, 734, 1206, 1207, 1245, 1294, 1298, 1326, 1327, 1329], "mid": [66, 1208], "mountain": 66, "west": [66, 111, 620, 621], "pacif": 66, "southeastern": 66, "sun": 66, "belt": 66, "western": [66, 1434], "athlet": 66, "biolog": [66, 111, 1329], "proc": [66, 297, 302, 303, 304, 309, 310, 324, 686, 693, 1201, 1206, 1207, 1213, 1214, 1294, 1298, 1326, 1327, 1329], "natl": [66, 793, 1294, 1298], "acad": [66, 1206, 1207, 1294, 1298, 1329], "sci": [66, 339, 382, 571, 1206, 1207, 1294, 1298, 1329], "7821": 66, "7826": 66, "correct": [66, 68, 93, 94, 101, 102, 103, 110, 116, 158, 159, 162, 205, 261, 312, 617, 858, 859, 893, 901, 903, 904, 939, 940, 975, 985, 986, 1223, 1410, 1413, 1415, 1416, 1417, 1420, 1421, 1422, 1425, 1426, 1428, 1430], "erron": 66, "duplic": [66, 153, 159, 462, 588, 611, 751, 856, 859, 901, 904, 937, 940, 983, 986, 1156, 1158, 1163, 1165, 1166, 1169, 1179, 1181, 1183, 1193, 1194, 1228, 1308, 1331, 1332, 1404, 1415, 1416, 1421, 1434], "sep": [66, 348, 349, 608], "2014": [66, 211, 312, 313, 317, 321, 336, 337, 358, 547, 608, 763, 1286, 1296, 1411, 1415], "brighamyoung": 66, "floridast": 66, "iowa": 66, "kansasst": 66, "newmexico": 66, "texastech": 66, "pennstat": 66, "southerncalifornia": 66, "arizonast": 66, "sandiegost": 66, "baylor": 66, "northtexa": 66, "northernillinoi": 66, "northwestern": 66, "westernmichigan": 66, "wisconsin": [66, 92], "wyom": 66, "auburn": 66, "akron": 66, "virginiatech": 66, "alabama": 66, "ucla": 66, "arizona": 66, "utah": 66, "arkansasst": 66, "northcarolinast": 66, "ballstat": 66, "florida": 66, "boisest": 66, "bostoncolleg": 66, "westvirginia": 66, "bowlinggreenst": 66, "michigan": 66, "virginia": [66, 336, 337], "buffalo": 66, "syracus": 66, "centralflorida": 66, "georgiatech": 66, "centralmichigan": 66, "purdu": [66, 444, 449, 450], "colorado": 66, "coloradost": 66, "connecticut": 66, "easternmichigan": 66, "eastcarolina": 66, "duke": 66, "fresnost": 66, "ohiost": 66, "houston": 66, "rice": 66, "idaho": 66, "washington": [66, 1046], "kansa": 66, "southernmethodist": 66, "kent": 66, "pittsburgh": [66, 229], "kentucki": 66, "louisvil": 66, "louisianatech": 66, "louisianamonro": 66, "minnesota": 66, "miamiohio": 66, "vanderbilt": 66, "middletennesseest": 66, "illinoi": 66, "mississippist": 66, "memphi": 66, "nevada": 66, "oregon": 66, "newmexicost": 66, "southcarolina": 66, "ohio": 66, "iowast": 66, "sanjosest": 66, "nebraska": 66, "southernmississippi": 66, "tennesse": 66, "washingtonst": 66, "templ": 66, "navi": 66, "texasa": 66, "notredam": 66, "texaselpaso": 66, "oklahoma": 66, "toledo": 66, "tulan": 66, "mississippi": 66, "tulsa": 66, "northcarolina": 66, "utahst": 66, "armi": [66, 92], "cincinnati": 66, "airforc": 66, "rutger": 66, "georgia": 66, "louisianast": 66, "louisianalafayett": 66, "texa": [66, 354], "marshal": 66, "michiganst": 66, "miamiflorida": 66, "missouri": 66, "clemson": 66, "nevadalasvega": 66, "wakeforest": 66, "indiana": 66, "oklahomast": 66, "oregonst": 66, "maryland": 66, "texaschristian": 66, "california": [66, 92], "alabamabirmingham": 66, "arkansa": 66, "hawaii": 66, "urllib": [66, 1422], "sock": 66, "urlopen": 66, "throw": [66, 95, 1415], "awai": [66, 95, 340, 1120, 1420], "bogu": 66, "parse_gml": [66, 1355, 1392], "team": [66, 92, 94, 101, 106, 108, 109, 1421, 1423], "1969": [66, 451, 1326, 1327, 1416], "449": [66, 73], "plot_footbal": [66, 73], "zachari": [67, 1273, 1416, 1417, 1421], "vlado": [67, 751, 1379, 1381, 1382, 1397], "fmf": [67, 751, 1379, 1381, 1382, 1397], "uni": [67, 414, 751, 1379, 1381, 1382, 1397], "lj": [67, 751, 1379, 1381, 1382, 1397], "si": [67, 92, 94, 751, 1379, 1381, 1382, 1397, 1419, 1420], "pub": [67, 316, 332, 496, 568, 620, 751, 1379, 1381, 1382, 1397], "ucinet": 67, "ucidata": 67, "htm": [67, 316, 317, 318, 332, 690, 1379, 1381, 1382, 1397], "1977": [67, 298, 1273, 1416], "conflict": [67, 93, 94, 95, 1273, 1416, 1417], "fission": [67, 1273], "anthropolog": [67, 1273], "research": [67, 92, 113, 221, 228, 229, 382, 446, 513, 514, 722, 1273], "452": [67, 250, 1273], "473": [67, 1273], "karate_club_graph": [67, 89, 348, 385, 386, 502, 595, 705, 1275, 1423], "draw_circular": [67, 70, 1436], "plot_karate_club": [67, 73], "aka": 68, "alphabet": [68, 466, 1430], "letter": [68, 71, 72, 93, 227, 328, 340, 359, 407, 408, 457, 487, 488, 489, 626, 627, 750, 1222, 1228, 1235, 1239, 1278, 1332], "trace": [68, 237], "symbol": [68, 777, 1139, 1143, 1405, 1415], "encount": [68, 133, 205, 207, 893, 1041, 1387, 1388], "unicod": [68, 1353, 1415], "charact": [68, 268, 269, 1274, 1280, 1301, 1337, 1340, 1342, 1343, 1344, 1345, 1346, 1351, 1353, 1354, 1355, 1356, 1357, 1359, 1360, 1385, 1387, 1388, 1390, 1398, 1423], "dot": [68, 76, 77, 78, 261, 262, 263, 620, 1122, 1123, 1124, 1126, 1131, 1132, 1133, 1135, 1306, 1331, 1332, 1436], "dit": 68, "dah": 68, "morse_direct_map": 68, "q": [68, 97, 103, 301, 327, 337, 382, 387, 498, 510, 590, 627, 1194, 1198, 1201, 1235, 1308, 1423], "preprocess": [68, 455, 751], "morse_mapping_sort": 68, "lambda": [68, 233, 312, 313, 314, 325, 326, 333, 376, 466, 590, 628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 1188, 1199, 1203, 1204, 1205, 1301, 1302, 1413], "simplifi": [68, 103, 690, 1407, 1408, 1415, 1416, 1418, 1421, 1422, 1424], "lookup": [68, 72, 167, 169, 176, 177, 185, 189, 190, 798, 865, 867, 871, 872, 875, 879, 880, 910, 912, 918, 946, 948, 952, 953, 957, 962, 992, 994, 1001, 1040, 1042, 1043, 1308, 1332, 1413, 1416], "reverse_map": 68, "char": 68, "pred": [68, 208, 569, 570, 571, 572, 573, 574, 575, 576, 642, 654, 658, 660, 708, 715, 894, 930, 976, 1013, 1022, 1023, 1024, 1025, 1332, 1413, 1418, 1425], "align": [68, 95, 1109, 1112, 1140, 1142, 1205, 1288], "horizont": [68, 1109, 1112, 1140, 1142, 1221], "flip": [68, 638, 703, 1416, 1426], "elabel": 68, "morse_encod": 68, "predecessor": [68, 174, 182, 191, 202, 208, 241, 283, 389, 391, 392, 396, 503, 632, 633, 654, 658, 660, 678, 689, 708, 715, 874, 881, 891, 894, 930, 955, 963, 973, 976, 1013, 1058, 1195, 1278, 1332, 1413, 1415, 1416, 1418, 1425, 1436], "verifi": [68, 162, 285, 286, 287, 288, 289, 294, 387, 555, 768, 779, 1422, 1434], "ascii_lowercas": [68, 72, 1301], "join": [68, 101, 121, 186, 293, 340, 345, 352, 353, 385, 386, 445, 473, 474, 475, 476, 477, 522, 523, 586, 587, 589, 590, 603, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 690, 691, 694, 699, 702, 703, 731, 733, 791, 876, 919, 958, 1002, 1101, 1104, 1152, 1155, 1163, 1170, 1171, 1180, 1181, 1194, 1196, 1199, 1201, 1202, 1203, 1204, 1205, 1215, 1216, 1219, 1221, 1223, 1231, 1239, 1247, 1257, 1302, 1304, 1332, 1347, 1351, 1361, 1362, 1420], "ltr": 68, "ilovenetworkx": 68, "182": [68, 73, 455], "plot_morse_tri": [68, 73], "minard": [69, 1415], "1812": 69, "1813": 69, "archiv": [69, 94, 100, 113, 382, 496, 673, 674, 675, 676, 722, 750, 752, 793, 1391, 1422], "20080112042656": 69, "yorku": 69, "ca": [69, 111, 133, 518, 734, 762, 1245], "sc": [69, 101, 334, 335, 347], "minard_graph": 69, "data1": [69, 1369], "340000": 69, "320000": 69, "300000": 69, "280000": 69, "240000": 69, "210000": 69, "180000": 69, "175000": 69, "145000": 69, "140000": 69, "127100": 69, "100000": 69, "98000": 69, "97000": 69, "96000": 69, "87000": 69, "55000": 69, "37000": 69, "24000": 69, "12000": 69, "14000": 69, "4000": [69, 1421], "data2": [69, 1369], "60000": 69, "40000": 69, "33000": 69, "30000": 69, "28000": 69, "data3": 69, "22000": 69, "6000": [69, 1434], "kowno": 69, "wilna": 69, "smorgoni": 69, "moiodexno": 69, "glouboko": 69, "minsk": 69, "studienska": 69, "polotzk": 69, "bobr": 69, "witebsk": 69, "orscha": 69, "mohilow": 69, "smolensk": 69, "dorogoboug": 69, "wixma": 69, "chjat": 69, "mojaisk": 69, "moscou": 69, "tarantino": 69, "malo": 69, "jarosewii": 69, "plot_napoleon_russian_campaign": [69, 73], "1022": 70, "5075": [70, 359], "refer": [70, 71, 97, 98, 102, 110, 112, 116, 129, 154, 155, 166, 168, 203, 205, 210, 211, 212, 213, 214, 215, 216, 217, 218, 220, 221, 222, 227, 228, 229, 236, 237, 240, 241, 242, 245, 249, 250, 258, 259, 260, 261, 262, 263, 264, 275, 276, 279, 281, 283, 284, 285, 287, 289, 290, 291, 294, 297, 298, 299, 300, 301, 302, 303, 304, 306, 307, 308, 309, 310, 312, 313, 314, 315, 316, 317, 318, 321, 323, 324, 325, 326, 327, 328, 329, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 342, 343, 344, 345, 347, 348, 349, 354, 357, 358, 359, 360, 363, 364, 373, 374, 375, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 391, 392, 396, 407, 408, 411, 412, 413, 414, 415, 416, 417, 419, 425, 427, 428, 429, 430, 432, 433, 434, 435, 436, 437, 438, 439, 440, 443, 444, 446, 447, 448, 449, 450, 451, 453, 454, 455, 457, 459, 464, 466, 468, 469, 471, 478, 479, 480, 481, 483, 484, 485, 486, 487, 488, 489, 490, 492, 496, 500, 502, 510, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 547, 557, 566, 568, 569, 570, 571, 572, 573, 574, 575, 576, 583, 590, 592, 593, 594, 595, 608, 610, 613, 616, 618, 620, 621, 626, 627, 672, 673, 674, 675, 676, 677, 678, 679, 680, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 697, 698, 700, 701, 706, 712, 721, 722, 731, 733, 734, 735, 740, 750, 751, 752, 753, 754, 760, 864, 866, 892, 893, 909, 911, 928, 929, 945, 947, 974, 975, 991, 993, 1011, 1012, 1046, 1048, 1108, 1149, 1150, 1161, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1196, 1198, 1199, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1213, 1214, 1215, 1216, 1222, 1223, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1241, 1245, 1247, 1248, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264, 1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275, 1277, 1278, 1286, 1288, 1289, 1290, 1292, 1293, 1294, 1296, 1298, 1308, 1325, 1326, 1327, 1332, 1347, 1348, 1350, 1353, 1357, 1358, 1359, 1360, 1367, 1368, 1373, 1374, 1379, 1381, 1382, 1383, 1384, 1385, 1386, 1391, 1402, 1403, 1415, 1417, 1418, 1420, 1422, 1425, 1426, 1428, 1436], "1879": 70, "thesauru": 70, "cf": 70, "400pungenc": 70, "400": [70, 1308], "403": [70, 1422], "405": [70, 1179], "roget_dat": 70, "sy": [70, 90, 1388, 1421], "roget_graph": 70, "dat": 70, "oldlin": 70, "endswith": 70, "buffer": 70, "goto": 70, "headnam": 70, "tail": [70, 85, 102, 236, 429, 430, 452, 502, 719, 720, 1140, 1223, 1288], "head": [70, 85, 94, 102, 236, 452, 719, 720, 1139, 1140, 1141, 1223, 1288, 1359, 1360, 1385, 1386], "findal": 70, "stderr": 70, "ug": 70, "number_connected_compon": [70, 72, 81, 85, 405, 406], "232": [70, 73], "plot_roget": [70, 73], "paper": [71, 94, 215, 216, 217, 221, 312, 313, 323, 327, 333, 344, 354, 412, 413, 415, 416, 417, 419, 432, 439, 485, 496, 513, 514, 672, 678, 692, 1208, 1245, 1422], "snijder": [71, 750, 752], "2012": [71, 218, 315, 327, 329, 359, 428, 510, 750, 752, 1215, 1409, 1415], "univers": [71, 92, 103, 106, 108, 111, 113, 133, 300, 312, 313, 325, 326, 328, 354, 377, 379, 385, 387, 453, 496, 590, 621, 677, 690, 750, 751, 752, 762, 1046, 1149, 1150, 1198, 1201, 1211, 1235, 1271, 1275], "oxford": [71, 111, 312, 313, 325, 326, 379, 385, 387, 750, 752, 1149, 1150, 1202, 1275], "triadic": [71, 751, 1404, 1415, 1421, 1426], "especi": [71, 93, 95, 106, 110, 165, 1105, 1404, 1417], "mutual": [71, 102, 306, 398, 690, 691, 750], "asymmetr": [71, 113, 228, 750, 1423], "null": [71, 312, 313, 327, 470, 577, 579, 627, 635, 750, 798, 1040, 1042, 1043, 1046, 1071, 1149, 1150, 1157, 1164, 1248, 1279, 1413], "dyad": [71, 389, 391, 392], "bidirect": [71, 655, 1208, 1415, 1423], "unidirect": [71, 1361, 1362, 1363, 1364, 1391], "nonedg": [71, 1105, 1106], "down": [71, 93, 221, 231, 376, 750, 1168, 1221, 1332, 1420, 1422], "cyclic": [71, 452, 454, 455, 618, 750, 1158, 1319, 1418, 1420], "003": [71, 84, 751, 752, 1280], "012": [71, 751, 752, 1280], "021d": [71, 750, 751, 752, 1280], "021u": [71, 750, 751, 752, 1280], "021c": [71, 751, 752, 1280], "111d": [71, 750, 751, 752, 1280], "111u": [71, 751, 752, 1280], "030t": [71, 751, 752, 1280], "030c": [71, 750, 751, 752, 1280], "201": [71, 300, 316, 317, 318, 332, 751, 752, 1280], "120d": [71, 751, 752, 1280], "120u": [71, 751, 752, 1280], "120c": [71, 750, 751, 752, 1280], "210": [71, 750, 751, 752, 1280], "flatten": [71, 1048, 1049, 1422], "planar_layout": [71, 1144, 1421], "set_xlim": 71, "val": 71, "set_ylim": 71, "get_ylim": 71, "extra": [71, 94, 103, 215, 325, 326, 504, 505, 508, 509, 665, 798, 966, 1006, 1040, 1042, 1043, 1122, 1123, 1224, 1240, 1415, 1421, 1423, 1425], "boxstyl": [71, 1140], "pad": [71, 278, 469, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 736, 738, 1143], "292": [71, 73, 519, 520], "plot_triad_typ": [71, 73], "5757": [72, 1434], "words_dat": 72, "five": [72, 102, 133, 482, 734, 1257, 1369, 1370, 1425], "english": [72, 93], "14135": 72, "853": 72, "chao": [72, 298], "choo": 72, "shoo": 72, "shoe": 72, "sho": 72, "shred": 72, "sire": 72, "side": [72, 100, 257, 316, 317, 327, 328, 331, 332, 379, 429, 1045, 1154, 1201, 1221, 1302, 1421], "adder": 72, "odder": 72, "lode": 72, "lore": 72, "lord": 72, "goad": 72, "grad": 72, "grape": 72, "pound": 72, "mark": [72, 94, 100, 215, 216, 217, 221, 312, 313, 325, 326, 328, 387, 496, 1041, 1304, 1390, 1420], "lowercas": [72, 1332], "generate_graph": 72, "index": [72, 100, 107, 111, 239, 244, 287, 314, 325, 326, 393, 519, 547, 569, 574, 575, 631, 672, 753, 755, 760, 763, 1050, 1062, 1111, 1136, 1139, 1140, 1141, 1142, 1143, 1149, 1150, 1181, 1183, 1184, 1185, 1187, 1228, 1302, 1303, 1305, 1306, 1307, 1331, 1367, 1368, 1414, 1415, 1421, 1422, 1423, 1426, 1434], "edit_distance_on": 72, "candgen": 72, "cand": 72, "words_graph": 72, "networkxnopath": [72, 420, 421, 472, 628, 629, 634, 638, 641, 652, 653, 655, 656, 657, 682, 1046, 1084, 1331, 1406], "node_boundari": [72, 760, 1415], "1500": 72, "font_weight": [72, 1139, 1140, 1142, 1436], "376": [72, 73], "plot_word": [72, 73], "045": 73, "auto_examples_graph": 73, "nx_agraph": [74, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 1044, 1045, 1121, 1122, 1123, 1125, 1405, 1415, 1421, 1431, 1436], "pygraphviz": [74, 75, 76, 77, 80, 81, 82, 84, 85, 87, 94, 112, 617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1045, 1100, 1121, 1125, 1332, 1415, 1421, 1422, 1423, 1430, 1434, 1436], "convers": [74, 75, 79, 87, 94, 482, 1342, 1407, 1414, 1415, 1417, 1422, 1423, 1428, 1430], "2d": [74, 79, 87, 567, 617, 631, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1100, 1101, 1147, 1200, 1202, 1203, 1204, 1284, 1411, 1423], "atla": [74, 79, 80, 86, 87, 1149, 1150, 1331, 1415, 1416, 1422], "handl": [75, 93, 103, 108, 166, 253, 254, 256, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 417, 419, 420, 421, 425, 469, 654, 660, 764, 864, 909, 936, 945, 982, 991, 1097, 1105, 1106, 1124, 1126, 1129, 1133, 1135, 1302, 1303, 1306, 1339, 1340, 1349, 1356, 1377, 1378, 1387, 1388, 1397, 1402, 1404, 1407, 1408, 1410, 1415, 1416, 1418, 1420, 1421, 1422, 1423, 1425], "agraph": [75, 76, 77, 1100, 1121, 1331, 1422], "to_agraph": [75, 76, 77, 78, 1045, 1121, 1415, 1416], "graphviz": [75, 76, 77, 78, 81, 82, 84, 85, 108, 112, 1121, 1122, 1123, 1126, 1131, 1132, 1135, 1331, 1332, 1407, 1415, 1422, 1436], "prog": [75, 76, 77, 78, 81, 82, 83, 85, 1122, 1123, 1131, 1132], "neato": [75, 76, 77, 78, 81, 83, 1122, 1123, 1131, 1132, 1332], "dictionari": [75, 85, 89, 102, 116, 145, 152, 153, 157, 158, 159, 161, 171, 185, 196, 215, 221, 238, 239, 240, 241, 243, 244, 246, 252, 253, 258, 259, 260, 262, 263, 265, 266, 267, 268, 269, 278, 279, 281, 282, 290, 291, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 312, 313, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 333, 334, 335, 336, 338, 343, 348, 352, 358, 359, 360, 362, 363, 364, 371, 373, 374, 393, 410, 414, 418, 419, 420, 421, 424, 429, 433, 434, 435, 436, 437, 438, 440, 442, 462, 472, 473, 474, 475, 476, 477, 498, 499, 503, 504, 506, 510, 513, 514, 527, 537, 557, 566, 567, 568, 580, 581, 582, 590, 623, 627, 628, 629, 630, 632, 633, 634, 635, 637, 638, 639, 640, 642, 643, 645, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 682, 689, 690, 715, 717, 751, 752, 753, 754, 798, 851, 855, 856, 857, 858, 859, 861, 868, 875, 886, 896, 900, 901, 902, 903, 904, 906, 913, 918, 925, 932, 936, 937, 938, 939, 940, 942, 949, 957, 968, 978, 982, 983, 984, 985, 986, 988, 995, 1001, 1008, 1040, 1041, 1042, 1043, 1048, 1067, 1068, 1088, 1089, 1094, 1095, 1097, 1098, 1109, 1110, 1111, 1112, 1113, 1114, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1131, 1132, 1136, 1139, 1140, 1141, 1142, 1143, 1199, 1202, 1203, 1204, 1213, 1214, 1215, 1216, 1287, 1301, 1308, 1309, 1312, 1316, 1323, 1324, 1330, 1331, 1332, 1336, 1341, 1342, 1343, 1345, 1354, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1402, 1403, 1411, 1413, 1416, 1417, 1422, 1423, 1434, 1436], "from_agraph": [75, 76, 1045, 1125], "plot_attribut": [75, 79], "x1": [76, 628], "x2": [76, 628], "fanci": [76, 103, 1425], "k5": [76, 378, 1121, 1125, 1130, 1134, 1222], "x3": 76, "read_dot": 76, "dotfil": 76, "026": [76, 79], "plot_convers": [76, 79], "write_dot": [77, 1405, 1415, 1436], "conjunct": [77, 613, 1369, 1370], "command": [77, 94, 98, 100, 112, 196, 886, 925, 968, 1008, 1045, 1132, 1436], "further": [77, 97, 102, 106, 216, 253, 254, 257, 258, 259, 260, 261, 278, 279, 282, 285, 286, 287, 288, 289, 385, 956, 1000, 1066, 1119, 1335, 1434, 1436], "invok": [77, 96, 329, 462, 754], "disk": [77, 317], "tp": 77, "068": [77, 79], "plot_grid": [77, 79], "gn": [78, 1188, 1329, 1415], "todo": [78, 97], "g0": [78, 84, 85, 603, 606], "g4": 78, "g5": 78, "g6": 78, "g7": 78, "g8": 78, "g9": 78, "g10": 78, "g11": 78, "g12": 78, "g13": 78, "g14": 78, "g15": 78, "g16": 78, "g17": 78, "g18": 78, "g19": 78, "graph_atlas_g": [78, 81, 1149], "node_attr": [78, 513, 514, 1121, 1284, 1285], "fill": [78, 235, 557, 1152, 1163, 1174, 1211, 1413], "20th": 78, "a20": 78, "079": [78, 79], "plot_mini_atla": [78, 79], "239": [79, 300, 323], "auto_examples_graphviz_draw": 79, "decomposit": [80, 86, 87, 113, 129, 234, 235, 294, 334, 340, 373, 427, 434, 435, 437, 438, 440, 760, 1416, 1418, 1420, 1426], "giant": [80, 86, 87, 1199, 1415, 1422], "lanl": [80, 86, 87, 111, 1402, 1403, 1406, 1407, 1408, 1409, 1415], "142": 81, "don": [81, 94, 95, 98, 100, 108, 110, 116, 169, 177, 185, 190, 239, 244, 289, 329, 385, 455, 499, 867, 872, 875, 880, 912, 918, 948, 953, 957, 962, 994, 1001, 1087, 1120, 1219, 1221, 1410, 1412, 1415, 1416, 1420, 1421, 1422, 1425], "nor": [81, 102, 111, 116, 306, 429, 627, 637, 638, 673, 674, 675, 676, 678, 702, 750, 1332], "oei": 81, "a001349": 81, "g208": 81, "809": 81, "1112": 81, "graphmatch": [81, 529, 764], "isomorph": [81, 97, 146, 147, 149, 150, 513, 514, 527, 530, 531, 532, 534, 535, 536, 537, 540, 541, 542, 544, 545, 546, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 673, 674, 675, 676, 730, 732, 756, 760, 763, 782, 1262, 1315, 1331, 1332, 1415, 1420, 1421, 1422, 1423, 1434], "vf2userfunc": 81, "atlas6": 81, "209": [81, 1199], "union": [81, 96, 377, 378, 462, 596, 597, 599, 600, 602, 603, 736, 738, 760, 774, 1022, 1023, 1024, 1025, 1170, 1180, 1222, 1329, 1332, 1401, 1409, 1413, 1415, 1417, 1421, 1422, 1423, 1432, 1434], "previou": [81, 107, 230, 323, 340, 364, 467, 514, 675, 695, 762, 793, 1088, 1117, 1190, 1402, 1408, 1413, 1416, 1422, 1434], "subgraph_is_isomorph": 81, "disjoint_union": [81, 600, 603, 606, 760, 1432, 1434], "graphviz_layout": [81, 82, 83, 84, 85, 1123, 1415, 1436], "vmin": [81, 1139, 1143], "vmax": [81, 1139, 1143], "785": [81, 86], "plot_atla": [81, 86], "balanced_tre": [82, 741, 1388], "twopi": [82, 85, 1122, 1123, 1131, 1132], "arg": [82, 103, 104, 425, 1046, 1050, 1122, 1123, 1302, 1303, 1306, 1307, 1417, 1421, 1431, 1434], "156": [82, 86, 754, 1211], "plot_circular_tre": [82, 86], "junction": [83, 734, 793], "bayesian": [83, 133, 344], "mg": [83, 103, 679, 798, 1040, 1042, 1088, 1429, 1436], "moral_graph": [83, 760, 1426], "moral": [83, 592, 734, 760, 1331, 1419, 1421, 1426], "jt": 83, "junction_tre": [83, 1421], "ax3": 83, "nsize": 83, "347": [83, 86], "plot_decomposit": [83, 86, 1422], "sudden": 84, "binomi": [84, 276, 1153, 1230, 1234, 1236, 1238, 1420], "150": 84, "log": [84, 90, 92, 94, 210, 212, 213, 220, 227, 228, 236, 281, 297, 302, 303, 309, 310, 431, 515, 562, 569, 661, 1308, 1412], "p_giant": 84, "becom": [84, 95, 101, 102, 103, 113, 181, 185, 231, 232, 424, 462, 586, 587, 589, 592, 694, 695, 696, 793, 873, 875, 916, 918, 954, 957, 998, 1001, 1041, 1064, 1217, 1413, 1416], "p_conn": 84, "pval": 84, "006": 84, "008": [84, 113], "015": [84, 348, 349], "ravel": 84, "gi": [84, 1406, 1415], "848": [84, 86], "plot_giant_compon": [84, 86], "186": 85, "1281": 85, "1296": 85, "lanl_graph": 85, "view": [85, 97, 99, 100, 108, 166, 167, 168, 169, 176, 177, 181, 185, 189, 190, 191, 197, 200, 201, 205, 693, 798, 801, 802, 803, 806, 807, 808, 810, 811, 812, 814, 815, 816, 818, 819, 820, 822, 823, 824, 827, 828, 829, 832, 833, 834, 837, 838, 839, 842, 843, 844, 847, 848, 849, 864, 865, 866, 867, 871, 872, 873, 875, 879, 880, 881, 887, 889, 890, 893, 909, 910, 911, 912, 916, 918, 927, 929, 945, 946, 947, 948, 952, 953, 954, 957, 961, 962, 969, 971, 975, 991, 992, 993, 994, 998, 1001, 1010, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1038, 1039, 1040, 1042, 1043, 1045, 1061, 1064, 1065, 1069, 1085, 1086, 1091, 1092, 1093, 1331, 1332, 1413, 1414, 1416, 1418, 1420, 1422, 1428, 1436], "lanl_rout": 85, "oserror": 85, "rtt": 85, "ping": 85, "g0time": 85, "radial": 85, "adjust": [85, 103, 375, 385, 1243, 1244, 1415, 1416, 1417, 1426], "xmax": 85, "xx": 85, "yy": 85, "ymax": 85, "plot_lanl_rout": [85, 86], "474": 86, "auto_examples_graphviz_layout": 86, "introductori": 87, "tutori": [87, 95, 101, 1203, 1330, 1332, 1416, 1417, 1421, 1422, 1423], "introduc": [87, 94, 102, 104, 133, 312, 313, 317, 318, 325, 326, 328, 621, 762, 793, 1261, 1329, 1411, 1414, 1419, 1421, 1425], "convent": [87, 94, 116, 338, 352, 389, 391, 392, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 504, 505, 508, 509, 511, 512, 617, 702, 742, 743, 744, 745, 793, 798, 1042, 1043, 1105, 1106, 1108, 1185, 1215, 1287, 1411, 1415, 1420], "manipul": [87, 111, 122, 389, 391, 392, 396, 790, 798, 1040, 1042, 1043, 1332, 1334, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435, 1436], "antigraph": [87, 88, 91, 221, 1416], "auto_examples_python": 87, "auto_examples_jupyt": 87, "complement": [89, 221, 282, 354, 424, 445, 603, 760, 1170, 1308, 1329, 1404], "dens": [89, 221, 291, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 630, 631, 632, 661, 760, 1232, 1395, 1398, 1403, 1414, 1415, 1422], "exist": [89, 94, 96, 98, 101, 103, 104, 105, 108, 110, 111, 115, 128, 152, 153, 154, 155, 159, 169, 171, 178, 182, 190, 191, 192, 195, 201, 202, 205, 212, 213, 214, 216, 217, 250, 257, 278, 279, 281, 282, 290, 343, 358, 360, 386, 389, 391, 392, 396, 424, 460, 466, 467, 468, 469, 473, 474, 475, 476, 477, 491, 493, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 514, 516, 520, 555, 565, 567, 569, 570, 571, 572, 573, 574, 575, 576, 584, 586, 598, 601, 604, 605, 617, 628, 629, 631, 638, 641, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 673, 680, 682, 694, 695, 696, 764, 788, 798, 855, 856, 859, 867, 868, 874, 880, 881, 882, 885, 890, 891, 893, 900, 901, 904, 912, 913, 924, 937, 940, 948, 949, 955, 956, 962, 964, 967, 973, 975, 983, 986, 994, 995, 1000, 1007, 1040, 1042, 1043, 1046, 1073, 1074, 1075, 1079, 1084, 1097, 1160, 1183, 1192, 1209, 1229, 1231, 1233, 1235, 1239, 1247, 1276, 1332, 1361, 1364, 1387, 1388, 1404, 1406, 1411, 1412, 1413, 1415, 1416, 1423, 1426, 1436], "subclass": [89, 90, 103, 203, 204, 205, 206, 431, 498, 529, 539, 617, 764, 798, 892, 893, 928, 929, 936, 937, 974, 975, 982, 983, 1011, 1012, 1040, 1042, 1043, 1332, 1403, 1404, 1415, 1416, 1418, 1419, 1427, 1434], "biconnected_compon": [89, 389, 391, 396, 426, 429], "might": [89, 98, 102, 103, 104, 165, 166, 270, 272, 274, 277, 299, 300, 305, 308, 322, 330, 357, 428, 511, 585, 628, 629, 705, 793, 864, 909, 945, 991, 1045, 1105, 1106, 1136, 1213, 1223, 1302, 1332, 1402, 1434, 1436], "memori": [89, 102, 108, 166, 221, 297, 302, 303, 304, 309, 310, 324, 347, 348, 349, 522, 523, 798, 864, 909, 945, 991, 1040, 1042, 1043, 1105, 1284, 1407, 1408, 1415, 1416, 1417, 1418, 1422], "wa": [89, 92, 95, 100, 102, 103, 312, 313, 317, 318, 323, 325, 326, 328, 452, 459, 519, 520, 566, 568, 586, 587, 589, 694, 719, 720, 788, 1046, 1171, 1186, 1199, 1202, 1203, 1204, 1223, 1284, 1285, 1302, 1329, 1334, 1390, 1402, 1403, 1404, 1407, 1408, 1413, 1415, 1416, 1417, 1418, 1422, 1423, 1425, 1432, 1434, 1436], "instanc": [89, 94, 96, 98, 104, 270, 271, 272, 274, 275, 277, 284, 309, 344, 352, 353, 413, 414, 418, 419, 420, 421, 466, 496, 500, 501, 504, 505, 511, 512, 563, 564, 565, 590, 618, 619, 620, 621, 697, 698, 734, 1046, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1114, 1120, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1305, 1307, 1308, 1309, 1310, 1311, 1334, 1338, 1339, 1342, 1343, 1344, 1368, 1376, 1377, 1411, 1413, 1414, 1418, 1422, 1423, 1430, 1434], "all_edge_dict": [89, 798, 1040, 1042, 1043], "single_edge_dict": [89, 798, 1040, 1042, 1043], "edge_attr_dict_factori": [89, 798, 1040, 1042, 1043], "__getitem__": [89, 102, 108, 1434], "paramet": [89, 96, 103, 104, 133, 142, 143, 144, 145, 146, 149, 152, 153, 154, 155, 156, 157, 158, 159, 165, 166, 167, 168, 169, 171, 172, 173, 176, 177, 181, 182, 183, 184, 185, 186, 189, 190, 192, 193, 194, 195, 196, 197, 198, 199, 200, 202, 205, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 347, 348, 349, 350, 351, 352, 353, 354, 355, 357, 358, 359, 360, 361, 362, 363, 364, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 426, 427, 428, 429, 430, 431, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 496, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 537, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 724, 725, 726, 727, 728, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 798, 851, 852, 855, 856, 857, 858, 859, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 879, 880, 882, 883, 884, 885, 886, 887, 888, 889, 891, 893, 894, 896, 897, 900, 901, 902, 903, 904, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 922, 923, 924, 925, 926, 927, 929, 930, 932, 933, 936, 937, 938, 939, 940, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 961, 962, 964, 965, 966, 967, 968, 969, 970, 971, 973, 975, 976, 978, 979, 982, 983, 984, 985, 986, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1005, 1006, 1007, 1008, 1009, 1010, 1013, 1038, 1039, 1040, 1042, 1043, 1048, 1049, 1050, 1055, 1056, 1057, 1058, 1059, 1060, 1062, 1064, 1066, 1067, 1068, 1069, 1071, 1072, 1073, 1074, 1075, 1079, 1080, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1148, 1149, 1151, 1152, 1153, 1154, 1156, 1157, 1158, 1160, 1161, 1163, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1275, 1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286, 1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297, 1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308, 1309, 1310, 1311, 1313, 1315, 1318, 1325, 1326, 1327, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374, 1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385, 1386, 1387, 1388, 1402, 1407, 1408, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1429, 1430, 1434], "adj_dict": [89, 851, 896, 932, 978], "keyerror": [89, 172, 733, 869, 914, 950, 996, 1421, 1422, 1432, 1434], "err": [89, 100, 1066, 1423], "networkxerror": [89, 102, 181, 182, 192, 193, 195, 202, 218, 228, 230, 231, 232, 233, 240, 241, 252, 257, 290, 301, 309, 312, 314, 318, 325, 326, 334, 335, 341, 342, 344, 373, 374, 379, 388, 420, 421, 431, 434, 435, 436, 437, 438, 439, 440, 456, 458, 463, 464, 466, 467, 468, 469, 471, 483, 484, 490, 492, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 577, 580, 593, 594, 595, 604, 607, 608, 609, 612, 613, 615, 631, 635, 659, 661, 682, 683, 685, 694, 695, 696, 755, 873, 874, 882, 883, 885, 891, 916, 917, 922, 924, 933, 954, 955, 964, 965, 967, 973, 979, 998, 999, 1005, 1007, 1042, 1043, 1046, 1059, 1066, 1073, 1075, 1105, 1171, 1173, 1174, 1175, 1176, 1177, 1178, 1179, 1180, 1181, 1183, 1184, 1187, 1193, 1196, 1197, 1198, 1213, 1216, 1222, 1228, 1229, 1233, 1235, 1240, 1242, 1243, 1244, 1245, 1275, 1281, 1282, 1283, 1331, 1349, 1351, 1354, 1355, 1356, 1357, 1358, 1365, 1367, 1368, 1369, 1371, 1383, 1384, 1386, 1421, 1434], "nbunch": [89, 167, 169, 176, 177, 181, 189, 190, 215, 292, 293, 321, 410, 486, 865, 867, 871, 872, 873, 879, 880, 910, 912, 916, 946, 948, 952, 953, 954, 961, 962, 992, 994, 998, 1061, 1065, 1069, 1090, 1330, 1411, 1413, 1415, 1416, 1421, 1423, 1436], "through": [89, 92, 95, 101, 102, 103, 133, 169, 190, 200, 231, 232, 233, 258, 288, 298, 299, 307, 308, 316, 325, 326, 328, 331, 332, 345, 358, 378, 472, 504, 521, 620, 680, 723, 724, 791, 798, 867, 880, 889, 912, 927, 948, 962, 971, 994, 1010, 1040, 1042, 1043, 1044, 1045, 1090, 1141, 1143, 1160, 1178, 1241, 1248, 1284, 1285, 1301, 1317, 1332, 1402, 1413, 1414], "nd_iter": [89, 176, 189, 871, 879, 952, 961], "nodes_nbr": 89, "nbunch_it": [89, 1330, 1402], "thingraph": [89, 798, 1040, 1042, 1043, 1404, 1416, 1421, 1434], "fastest": [89, 1402, 1403, 1413], "look": [89, 94, 100, 102, 104, 129, 200, 344, 432, 491, 547, 659, 889, 927, 971, 1010, 1041, 1105, 1332, 1361, 1364, 1402, 1413, 1422, 1425, 1434, 1436], "outgo": [89, 160, 161, 320, 330, 566, 860, 861, 905, 906, 941, 942, 987, 988, 1425], "adj_it": [89, 161, 861, 906, 942, 988], "gnp": [89, 1415, 1423], "anp": 89, "gd": [89, 1390], "gk": 89, "ak": 89, "gc": [89, 392, 614], "ac": [89, 236, 496, 750, 752], "comp": [89, 376, 394, 401, 402, 407, 408, 409, 1222, 1422], "biconnect": [89, 221, 389, 391, 392, 396, 760, 1429, 1434], "268": 89, "plot_antigraph": [89, 91], "foo": [90, 104, 160, 169, 171, 177, 185, 190, 191, 201, 860, 867, 868, 872, 875, 880, 881, 890, 905, 912, 913, 918, 941, 948, 953, 957, 962, 972, 994, 1001, 1088, 1089, 1302, 1402], "attr_dict": [90, 103, 1416, 1422], "printgraph": [90, 1404], "activ": [90, 92, 93, 94, 95, 100, 101, 105, 109, 621, 1434], "__init__": [90, 94, 107, 425, 547, 617, 721, 722, 735, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1302, 1308, 1420], "attr": [90, 96, 104, 152, 153, 157, 158, 159, 209, 472, 548, 549, 550, 554, 555, 556, 558, 559, 560, 617, 723, 724, 725, 726, 727, 728, 798, 852, 855, 856, 857, 858, 859, 897, 900, 901, 902, 903, 904, 933, 936, 937, 938, 939, 940, 979, 982, 983, 984, 985, 986, 1040, 1042, 1043, 1055, 1056, 1057, 1088, 1089, 1361, 1364, 1365, 1366, 1369, 1370, 1416, 1420, 1421, 1422, 1429, 1434], "super": [90, 107, 693], "stdout": [90, 1388], "remove_nod": [90, 196, 692, 886, 925, 968, 1008, 1402, 1403, 1436], "ebunch": [90, 153, 194, 569, 570, 571, 572, 573, 574, 575, 576, 856, 884, 901, 923, 937, 966, 983, 1006, 1330, 1436], "clear": [90, 93, 95, 98, 102, 103, 108, 111, 352, 353, 590, 936, 982, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1160, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1192, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1415, 1418, 1421, 1434, 1436], "add_path": [90, 167, 169, 176, 189, 190, 193, 241, 394, 409, 557, 578, 634, 708, 709, 710, 865, 867, 871, 879, 880, 883, 946, 948, 949, 950, 952, 961, 962, 965, 992, 994, 995, 996, 1005, 1055, 1057, 1067, 1413, 1416, 1417, 1420], "add_star": [90, 1055, 1056, 1413, 1416, 1420], "plot_printgraph": [90, 91], "158": 91, "auto_examples_subclass": 91, "written": [92, 101, 102, 105, 111, 359, 451, 1045, 1223, 1302, 1308, 1334, 1365, 1382, 1387, 1388, 1418], "aric": [92, 109, 111, 1185, 1199, 1416, 1417], "hagberg": [92, 109, 111, 1185, 1199, 1241, 1416, 1417], "dan": [92, 101, 103, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1430, 1431, 1432, 1433, 1434], "schult": [92, 101, 103, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1430, 1431, 1432, 1433, 1434], "pieter": [92, 111], "swart": [92, 111], "thank": [92, 95, 109], "everyon": [92, 93, 100], "who": [92, 93, 95, 100, 101, 104, 105, 110, 300, 1332, 1334], "improv": [92, 94, 98, 102, 104, 108, 223, 230, 232, 300, 316, 323, 382, 496, 512, 557, 570, 574, 762, 764, 782, 1240, 1402, 1403, 1404, 1409, 1410, 1411, 1412, 1413, 1415, 1416, 1427, 1433], "bug": [92, 95, 97, 98, 110, 300, 1403, 1409, 1412, 1416, 1417, 1419, 1420, 1421, 1422, 1423, 1424, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "design": [92, 94, 97, 99, 100, 101, 104, 107, 108, 111, 152, 204, 206, 299, 308, 316, 332, 566, 568, 590, 762, 793, 855, 900, 936, 982, 1308, 1326, 1327, 1332, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1434], "futur": [92, 94, 95, 101, 102, 700, 701, 1041, 1045, 1365, 1366, 1403, 1413, 1414, 1416, 1420, 1434], "guid": [92, 97, 98, 101, 102, 109, 111, 1415, 1416, 1421, 1422, 1425, 1434], "kelli": [92, 103, 109, 1421, 1422, 1426], "boothbi": [92, 103, 109, 1421, 1422, 1426], "camil": [92, 109], "camillescott": [92, 109], "dschult": [92, 101, 106, 109, 111], "eric": [92, 109, 479, 480, 481, 1206, 1419, 1420, 1421, 1422], "ma": [92, 109, 672, 677, 1418, 1419, 1420, 1421], "ericmjl": [92, 109], "harshal": [92, 106, 109, 1422, 1423], "dupar": [92, 106, 109, 1422, 1423], "jarrod": [92, 100, 101, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "millman": [92, 100, 101, 109, 111, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "jarrodmillman": [92, 109, 1420, 1421], "matt": [92, 109, 1428, 1430, 1431, 1434], "schwennesen": [92, 109, 1428, 1430, 1431, 1434], "mjschwenn": [92, 106, 109, 1423], "mridul": [92, 102, 106, 109, 1416, 1419, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1433, 1434], "seth": [92, 102, 109, 1416, 1419, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1433, 1434], "ross": [92, 104, 109, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1431, 1433, 1434], "barnowski": [92, 104, 109, 1421, 1422, 1423, 1425, 1426, 1428, 1429, 1430, 1431, 1433, 1434], "rossbar": [92, 104, 106, 109, 1421], "stefan": [92, 109, 1420, 1421, 1422, 1424, 1426], "van": [92, 109, 382, 513, 514, 1245, 1416, 1420, 1421, 1422, 1423, 1424, 1426, 1434], "der": [92, 109, 1420, 1421, 1422, 1424, 1426], "walt": [92, 109, 1420, 1421, 1422, 1424, 1426], "stefanv": [92, 109, 1420], "vadim": [92, 109, 1423], "abzalov": [92, 109], "vdshk": [92, 106, 109, 1423], "dimitrio": [92, 109, 129, 1422, 1423, 1430, 1434], "papageorgi": [92, 109, 1422, 1423, 1430, 1434], "z3y50n": [92, 106, 109, 1423], "benjamin": [92, 109, 1418, 1419], "edward": [92, 109, 1418, 1419], "bjedward": [92, 109], "chebee7i": [92, 109, 1416, 1418], "jfinkel": [92, 109, 1416], "jordi": [92, 109, 1416, 1417], "torrent": [92, 109, 221, 429, 1416, 1417], "jtorrent": [92, 109], "lo\u00efc": [92, 109], "s\u00e9guin": [92, 109], "charbonneau": [92, 109], "loicseguin": [92, 109], "ysitu": [92, 109, 1411], "feel": [92, 93, 95, 98, 106, 1436], "issu": [92, 93, 94, 97, 100, 101, 104, 105, 108, 348, 349, 354, 388, 457, 490, 492, 521, 627, 798, 1040, 1042, 1043, 1123, 1132, 1170, 1175, 1176, 1177, 1272, 1329, 1410, 1411, 1413, 1414, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1432, 1433, 1434, 1436], "submit": [92, 94, 95, 100], "github": [92, 94, 95, 100, 101, 104, 105, 106, 107, 112, 1045, 1204, 1332, 1422, 1434], "kati": 92, "hernan": 92, "rozenfeld": 92, "brendt": 92, "wohlberg": 92, "jim": [92, 1152, 1163, 1434], "bagrow": 92, "holli": 92, "johnsen": 92, "arnar": 92, "flatberg": 92, "chri": [92, 1416, 1422, 1425], "myer": 92, "joel": [92, 1185, 1228], "miller": [92, 1185, 1228], "keith": [92, 1232], "brigg": [92, 1232], "ignacio": 92, "rozada": 92, "phillipp": 92, "pagel": 92, "sverr": 92, "sundsdal": 92, "richardson": [92, 1434], "eben": 92, "kenah": 92, "sasha": 92, "gutfriend": 92, "udi": 92, "weinsberg": 92, "matteo": [92, 1419], "dell": 92, "amico": 92, "andrew": [92, 621, 1161, 1422, 1423], "conwai": 92, "raf": 92, "gun": 92, "salim": [92, 1420, 1421, 1422], "fadhlei": 92, "fabric": 92, "desclaux": 92, "arpad": 92, "horvath": 92, "minh": 92, "nguyen": 92, "willem": 92, "ligtenberg": 92, "mcguir": 92, "jesu": 92, "cerquid": 92, "ben": [92, 1434], "jon": [92, 306, 566, 1416, 1417, 1419, 1422, 1428], "olav": 92, "vik": 92, "hugh": 92, "brown": [92, 1431, 1432, 1434], "reilli": [92, 111], "leo": [92, 325, 326, 1418, 1423], "lope": [92, 576], "dheeraj": 92, "franck": 92, "kalala": 92, "simon": [92, 1423], "knight": 92, "conrad": 92, "lee": [92, 1417, 1421], "s\u00e9rgio": 92, "neri": 92, "sim\u00f5": 92, "king": 92, "nick": 92, "mancuso": 92, "brian": [92, 1426, 1434], "cloteaux": 92, "alejandro": [92, 1423], "weinstein": 92, "dustin": 92, "smith": [92, 1418], "mathieu": [92, 1423], "laros": 92, "romain": [92, 673, 674, 675, 676, 1418], "fontugn": 92, "vincent": 92, "gauthier": 92, "jeffrei": [92, 354, 1416], "finkelstein": [92, 1416], "gabriel": [92, 621, 1418, 1420], "young": [92, 1418, 1420], "jg": 92, "andrei": 92, "paramonov": 92, "aparamon": [92, 1417, 1418], "msk": 92, "ru": 92, "thodori": 92, "sotiropoulo": 92, "theosotr": 92, "konstantino": [92, 1434], "karakatsani": 92, "ryan": [92, 1416, 1421], "nelson": 92, "rnelsonchem": 92, "niel": [92, 1416], "adrichem": [92, 1416], "nvanadrichem": 92, "michael": [92, 1194, 1416, 1418, 1420, 1422, 1434], "rose": [92, 1416], "andr": [92, 1261], "weltsch": 92, "lewi": [92, 1418], "robbin": [92, 1418], "mad": [92, 1418], "jensen": [92, 734, 1418], "atombrella": 92, "platt": [92, 1418, 1419], "elplatt": 92, "jame": [92, 1161, 1416, 1417, 1420, 1421, 1423], "owen": 92, "leamingrad": [92, 1418], "gmyr": [92, 1418], "mike": [92, 1393, 1419], "trenfield": 92, "crall": [92, 1416, 1417, 1419, 1422, 1428], "erotem": 92, "issa": [92, 1419], "moradnejad": [92, 1419], "linkedin": 92, "kiefer": 92, "bkief": [92, 1420], "julien": [92, 1419, 1420], "klau": [92, 1419, 1420], "peter": [92, 459, 1404, 1416, 1420, 1425], "kroon": [92, 1420], "pckroon": 92, "weisheng": [92, 1419, 1420], "ws4u": 92, "haakon": [92, 1420], "r\u00f8d": 92, "gitlab": 92, "haakonhr": 92, "efraim": [92, 1420], "rodrigu": [92, 354, 1420], "efraimrodrigu": 92, "erwan": [92, 333, 1418, 1420], "le": [92, 104, 333, 1199, 1205, 1274, 1286, 1418, 1419, 1420], "merrer": [92, 333, 1418, 1420], "s\u00f8ren": [92, 1420, 1421], "fugled": [92, 1420, 1421], "j\u00f8rgensen": [92, 1420, 1421], "belhaddad": [92, 1420, 1421, 1422], "salymdotm": 92, "jangwon": [92, 1421], "yie": [92, 1421], "a7960065": 92, "toma": 92, "gavenciak": 92, "luca": [92, 336, 337, 1416, 1418, 1420, 1425, 1429, 1434], "baldesi": [92, 1275, 1418, 1420], "yuto": [92, 1418], "yamaguchi": [92, 1418], "clough": [92, 1416], "mina": [92, 1416], "gjoka": [92, 1213, 1214, 1215, 1216, 1416], "drew": [92, 1421], "alex": [92, 111, 1416, 1420, 1421, 1422], "levenson": 92, "haochen": [92, 1418, 1420], "wu": [92, 327, 595, 731, 733, 1418, 1420], "roper": 92, "christoph": [92, 1419, 1421], "ellison": 92, "eppstein": [92, 278, 469, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 736, 738, 1416], "federico": [92, 1418, 1421], "rosato": [92, 1418, 1421], "aitor": 92, "almeida": 92, "ferran": [92, 1416], "par\u00e9": [92, 375, 1416], "christian": [92, 298], "olsson": 92, "fredrik": [92, 1419], "erlandsson": [92, 1419], "nanda": [92, 1420], "krishna": [92, 1420], "nichola": [92, 1191], "fred": 92, "morstatt": 92, "olli": 92, "glass": 92, "rodrigo": [92, 1417], "dorant": [92, 1417], "gilardi": [92, 1417], "pranai": [92, 1418], "kanwar": [92, 1418], "balint": 92, "tillman": [92, 1213, 1214, 1216], "diederik": 92, "lier": 92, "ferdinando": 92, "papal": 92, "miguel": [92, 336, 337, 1418], "sozinho": [92, 1418], "ramalho": [92, 1418], "brandon": 92, "liu": [92, 428, 514], "nima": 92, "mohammadi": 92, "jason": [92, 1422], "grout": 92, "jan": [92, 513, 514, 673, 674, 675, 676, 695, 1403, 1415], "aagaard": 92, "meier": 92, "henrik": 92, "haugb\u00f8ll": 92, "piotr": 92, "brodka": 92, "gutfraind": 92, "alessandro": [92, 1416], "luongo": [92, 1416], "huston": [92, 1417], "heding": [92, 1417], "olegu": 92, "sagarra": 92, "kazimierz": [92, 1421], "wojciechowski": [92, 1421], "256": [92, 111, 1181, 1272, 1350, 1421], "gaetano": [92, 1421], "pietro": 92, "paolo": [92, 321, 1421], "carpinato": [92, 1421], "carghaez": 92, "gaetanocarpinato": 92, "arun": 92, "nampal": 92, "arunwis": [92, 1421], "b57845b7": 92, "duve": [92, 1421], "shashi": [92, 1421], "prakash": 92, "tripathi": [92, 519, 1421], "itsshavar": 92, "itsshashitripathi": 92, "danni": [92, 1421], "niquett": [92, 1421], "trimbl": [92, 1421, 1423], "jamestrimbl": 92, "matthia": [92, 1421, 1422, 1425, 1431], "bruhn": [92, 1421], "mbruhn": 92, "philip": 92, "boalch": 92, "knyazev": [92, 1423], "cappelletti": 92, "lucacappelletti94": 92, "sultan": [92, 1423, 1425, 1431, 1434], "orazbayev": [92, 1423, 1425, 1431, 1434], "sultanorazbayev": 92, "supplementari": 92, "incomplet": [92, 113, 1415, 1417], "commit": [92, 93, 94, 95, 100, 101, 106, 107, 1416, 1418, 1420, 1421, 1422, 1423, 1424, 1426, 1428, 1434], "git": [92, 94, 95, 98, 100, 107, 112, 1425, 1428], "repositori": [92, 94, 100, 107, 1415], "grep": [92, 98], "uniq": 92, "histor": [92, 100, 102, 1223], "earlier": [92, 300, 365, 366, 367, 741, 1205, 1402, 1411, 1417, 1422], "acknowledg": [92, 93, 97], "nonlinear": [92, 1219, 1221, 1228], "lo": 92, "alamo": 92, "nation": [92, 93, 459, 722], "laboratori": 92, "pi": [92, 655, 1117], "program": [92, 106, 111, 364, 457, 490, 492, 680, 1122, 1123, 1131, 1232, 1308, 1330, 1332, 1334, 1423], "offic": [92, 1273], "complex": [92, 95, 102, 106, 211, 218, 230, 231, 232, 240, 241, 275, 291, 294, 295, 301, 315, 329, 332, 333, 334, 335, 339, 348, 349, 357, 358, 373, 374, 378, 387, 388, 425, 436, 440, 454, 455, 496, 502, 521, 522, 523, 576, 618, 621, 627, 661, 694, 700, 701, 751, 1123, 1132, 1181, 1185, 1202, 1203, 1204, 1347, 1348, 1350, 1389, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "depart": [92, 496], "physic": [92, 111, 231, 237, 242, 245, 249, 328, 334, 335, 357, 358, 360, 380, 385, 388, 440, 487, 488, 489, 627, 1175, 1176, 1177, 1199, 1228, 1235, 1239], "crutchfield": 92, "institut": [92, 113, 215, 216, 217, 221], "discoveri": [92, 672, 677, 678, 692], "madison": 92, "jessica": 92, "flack": 92, "david": [92, 278, 364, 439, 444, 449, 450, 626, 687, 712, 713, 714, 715, 716, 717, 736, 738, 1152, 1163, 1261, 1417, 1418, 1421], "krakauer": 92, "financi": 92, "summer": [92, 106, 1414, 1422, 1423], "foundat": [92, 111, 414, 433, 443, 447, 448, 621, 753], "grant": [92, 101, 106, 1208], "w911nf": 92, "0288": 92, "darpa": 92, "intellig": [92, 133, 496, 576, 592, 734, 764, 1213, 1216], "subcontract": 92, "No": [92, 93, 229, 283, 285, 286, 287, 288, 289, 446, 452, 462, 682, 1041, 1402, 1403, 1405, 1420], "9060": 92, "000709": 92, "nsf": 92, "phy": [92, 276, 285, 314, 373, 374, 385, 387, 436, 575, 1171, 1183, 1188, 1189, 1190, 1193, 1236, 1240, 1293], "0748828": 92, "templeton": 92, "santa": [92, 215, 216, 217, 221], "fe": [92, 215, 216, 217, 221], "under": [92, 325, 326, 527, 537, 557, 568, 579, 588, 590, 608, 673, 674, 675, 676, 741, 1332, 1421, 1422, 1426], "contract": [92, 111, 393, 502, 586, 587, 589, 620, 621, 769, 1180, 1404, 1422], "0340": 92, "space": [93, 102, 110, 232, 297, 302, 303, 309, 310, 357, 425, 630, 631, 632, 762, 788, 1115, 1150, 1199, 1202, 1203, 1204, 1205, 1245, 1302, 1332, 1337, 1340, 1398, 1407, 1415, 1421, 1426], "manag": [93, 94, 101, 112, 229, 682, 693, 1411, 1420, 1421, 1434], "privat": [93, 101, 1045, 1421, 1422, 1430, 1434], "tracker": [93, 98, 101, 108], "wiki": [93, 113, 121, 122, 133, 212, 227, 231, 283, 284, 294, 342, 343, 427, 456, 471, 478, 485, 486, 490, 492, 592, 678, 697, 698, 706, 712, 734, 763, 769, 784, 1212, 1225, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270], "channel": 93, "honor": 93, "particip": [93, 101, 359, 521, 571], "formal": [93, 101, 115, 133, 221, 290, 344, 623, 689, 690, 691], "claim": [93, 95, 1265], "affili": [93, 258, 259, 260, 287, 289, 1171], "role": [93, 104, 357, 1205, 1208, 1272, 1416], "exhaust": [93, 181, 377, 873, 916, 954, 998, 1141, 1302], "distil": 93, "understand": [93, 101, 102, 110, 133, 386, 762, 1302, 1414], "collabor": [93, 111, 129, 285, 328], "environ": [93, 94, 98, 100, 111, 112, 375, 566, 1041, 1045, 1127, 1128, 1129, 1416, 1420], "spirit": 93, "much": [93, 95, 103, 111, 386, 496, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 655, 684, 700, 701, 1041, 1049, 1105, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1219, 1221, 1403, 1414, 1415, 1418, 1436], "friendli": [93, 94, 103, 1332, 1419, 1434], "enrich": 93, "strive": 93, "invit": [93, 101, 106], "anyon": [93, 95, 100, 101, 103], "prefer": [93, 94, 95, 100, 103, 104, 110, 493, 494, 600, 617, 764, 1044, 1100, 1105, 1106, 1332, 1334, 1402, 1403, 1415, 1418, 1436], "unless": [93, 95, 101, 110, 128, 208, 271, 424, 490, 894, 930, 976, 1013, 1120, 1336, 1403, 1436], "someth": [93, 95, 102, 104, 108, 529, 539, 798, 1040, 1042, 1043, 1045, 1049, 1123, 1132, 1306, 1362, 1363, 1413], "sensit": [93, 101, 1275], "too": [93, 95, 693, 782, 1046, 1171, 1240, 1301, 1332, 1334, 1413, 1434, 1436], "answer": [93, 98, 763, 1416], "question": [93, 98, 695, 1332, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "inadvert": 93, "mistak": [93, 95, 1433], "easili": [93, 101, 116, 382, 496, 690, 693, 1334, 1408, 1413, 1436], "detect": [93, 96, 106, 129, 211, 323, 375, 376, 380, 381, 382, 383, 385, 387, 388, 440, 521, 595, 654, 660, 665, 760, 788, 1171, 1175, 1176, 1177, 1332, 1416, 1417, 1418, 1421, 1423], "empathet": 93, "welcom": [93, 95, 110], "patient": 93, "resolv": [93, 94, 95, 98, 100, 101, 102, 466, 1420, 1421, 1434], "assum": [93, 94, 95, 98, 102, 107, 112, 133, 185, 220, 236, 266, 292, 293, 315, 317, 329, 380, 431, 473, 474, 475, 476, 477, 579, 583, 590, 602, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 690, 691, 693, 755, 763, 875, 918, 933, 957, 979, 1001, 1042, 1043, 1089, 1094, 1100, 1149, 1215, 1276, 1293, 1294, 1302, 1308, 1332, 1402, 1403, 1413, 1416, 1434], "intent": [93, 1332], "experi": [93, 95, 101, 106, 214, 348, 349, 483, 484, 1174, 1334], "frustrat": 93, "attack": 93, "peopl": [93, 100, 166, 468, 782, 864, 909, 945, 991, 1045, 1332, 1334, 1413, 1414, 1416, 1422, 1425, 1434], "uncomfort": 93, "threaten": 93, "benefit": [93, 94, 104, 105, 692], "willing": [93, 687], "explain": [93, 94, 95, 105, 106, 1293, 1413], "better": [93, 94, 100, 102, 103, 104, 170, 283, 298, 307, 383, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 431, 455, 498, 502, 571, 1041, 1045, 1046, 1108, 1353, 1407, 1411, 1414, 1415, 1421, 1434, 1436], "decis": [93, 95, 97, 99, 100, 102, 110, 1170], "affect": [93, 105, 166, 375, 382, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 864, 909, 945, 991, 1402, 1403, 1407, 1408, 1413, 1416, 1426], "colleagu": 93, "consequ": [93, 102], "serious": [93, 95], "inquisit": 93, "nobodi": [93, 1416], "everyth": 93, "ask": [93, 94, 95, 98, 100, 1284, 1285, 1415], "earli": [93, 94, 385, 654, 665, 762], "avoid": [93, 95, 100, 102, 103, 115, 153, 158, 159, 196, 250, 253, 254, 347, 348, 349, 350, 351, 471, 473, 474, 475, 476, 477, 602, 606, 680, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1041, 1064, 1085, 1301, 1308, 1337, 1340, 1415, 1416, 1417, 1418, 1421, 1426, 1434], "later": [93, 94, 100, 103, 741, 1415, 1436], "encourag": [93, 95, 100, 106, 231, 782, 1408], "although": [93, 700, 701, 764, 1150, 1387, 1411], "appropri": [93, 100, 101, 103, 112, 627, 630, 631, 632, 697, 731, 733, 1045, 1101, 1102, 1121, 1302, 1416], "forum": [93, 100], "hard": [93, 102, 107, 113, 213, 424, 782, 1045, 1120, 1224, 1240, 1413, 1421], "respons": [93, 94, 95, 100, 104, 764, 791], "own": [93, 94, 95, 98, 104, 168, 200, 231, 232, 233, 259, 364, 375, 382, 385, 386, 590, 866, 889, 911, 927, 947, 971, 993, 1010, 1064, 1069, 1085, 1171, 1181, 1334, 1387, 1418], "speech": 93, "insult": 93, "harass": 93, "exclusionari": 93, "behaviour": [93, 1422, 1426, 1434], "violent": 93, "threat": 93, "against": [93, 94, 101, 784, 1041, 1265, 1430], "sexist": 93, "racist": 93, "discriminatori": 93, "joke": 93, "post": [93, 94, 95, 100, 105, 107, 233, 714, 1048, 1171, 1302], "sexual": 93, "explicit": [93, 94, 98, 102, 152, 620, 855, 900, 936, 982, 1041, 1196, 1329, 1332, 1404, 1414, 1421, 1422, 1430], "materi": [93, 111, 1436], "dox": 93, "content": [93, 98, 100, 107, 108, 325, 326, 437, 438, 478, 1127, 1129, 1208, 1362, 1395, 1436], "sent": [93, 1415], "publicli": [93, 94, 1414], "unlog": 93, "irc": [93, 1416], "consent": 93, "term": [93, 95, 100, 108, 212, 219, 221, 250, 301, 384, 429, 492, 595, 617, 764, 788, 793, 965, 966, 1005, 1006, 1302, 1332, 1353], "unwelcom": 93, "attent": 93, "excess": [93, 511], "profan": 93, "swearword": 93, "greatli": 93, "swear": 93, "someon": [93, 100, 106], "advoc": [93, 101], "enjoi": [93, 571], "part": [93, 94, 95, 100, 106, 108, 111, 116, 193, 221, 224, 259, 266, 284, 296, 300, 323, 354, 391, 392, 424, 432, 456, 551, 552, 591, 679, 680, 690, 788, 883, 922, 1048, 1223, 1228, 1266, 1334, 1402, 1403, 1408, 1415, 1436], "accommod": [93, 233], "individu": [93, 108, 112, 331, 379, 382, 1127, 1128, 1129, 1370, 1402, 1413, 1416], "treat": [93, 208, 279, 316, 317, 328, 331, 332, 339, 452, 478, 690, 719, 720, 723, 724, 744, 745, 793, 894, 930, 976, 1013, 1041, 1088, 1089, 1101, 1104, 1120, 1123, 1132, 1303, 1342, 1343, 1418, 1425, 1436], "kindli": 93, "matter": [93, 103, 763, 1228, 1332], "yourself": [93, 95, 1334], "perceiv": [93, 101], "hope": 93, "comprehens": [93, 105, 788, 1391, 1415, 1417, 1427, 1430], "honour": 93, "ag": 93, "ethnic": 93, "genotyp": 93, "gender": [93, 239], "ident": [93, 104, 110, 171, 173, 187, 188, 201, 244, 466, 513, 514, 561, 562, 756, 793, 854, 868, 870, 877, 878, 890, 899, 913, 915, 917, 920, 921, 935, 949, 951, 959, 960, 972, 981, 995, 997, 999, 1003, 1004, 1038, 1086, 1092, 1093, 1152, 1255, 1275, 1278, 1290, 1300, 1367, 1368, 1371, 1372, 1415, 1434], "neurotyp": 93, "phenotyp": 93, "polit": [93, 95, 1261], "belief": [93, 133], "profess": 93, "race": 93, "religion": 93, "socioeconom": 93, "statu": [93, 94, 100, 101, 102, 103, 104, 105, 306, 325, 326, 1403, 1406, 1409, 1410, 1415, 1423], "subcultur": 93, "technic": [93, 100, 105, 113, 180, 354, 379, 1278, 1414], "abil": [93, 95, 108, 111, 339, 1421], "fluent": 93, "develop": [93, 96, 98, 100, 103, 105, 106, 107, 108, 110, 111, 228, 459, 788, 1171, 1223, 1329, 1332, 1402, 1403, 1404, 1415, 1421, 1422, 1424, 1425, 1428, 1434, 1436], "uphold": 93, "interact": [93, 94, 97, 101, 102, 375, 1193, 1273, 1332, 1390, 1416, 1436], "painfulli": 93, "devolv": 93, "obviou": [93, 94, 502, 1413], "flagrant": 93, "abus": [93, 1436], "recogn": [93, 95, 250, 251, 1411], "bad": [93, 100, 1415, 1421, 1422], "dai": [93, 100, 617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1436], "unawar": 93, "mind": [93, 364, 1284, 1285, 1334], "respond": [93, 95, 100, 101], "breach": 93, "clearli": [93, 95], "steer": [93, 100], "council": [93, 100], "possibli": [93, 105, 181, 200, 233, 472, 724, 873, 889, 916, 927, 954, 971, 998, 1010, 1217, 1218, 1302, 1314, 1436], "unintent": 93, "repli": 93, "whatev": [93, 1425, 1434, 1436], "advic": [93, 100], "confid": [93, 101], "recus": 93, "themselv": [93, 100, 466, 689, 1278, 1332, 1434], "reason": [93, 95, 100, 101, 102, 103, 116, 133, 349, 724, 793, 1223, 1263, 1332, 1334, 1425], "senior": 93, "numfocu": [93, 106], "staff": 93, "investig": [93, 108, 782, 1423], "complaint": [93, 1436], "protect": [93, 798, 949, 995, 1040, 1042, 1043, 1415], "confidenti": 93, "agre": [93, 96, 101], "immedi": [93, 103, 325, 326, 375, 484, 496, 500, 501, 512, 617, 713, 1404, 1416], "act": [93, 166, 300, 317, 864, 909, 945, 991, 1115, 1208, 1332, 1413, 1425], "violat": [93, 1150], "feedback": [93, 100, 102], "mediat": 93, "didn": [93, 470, 1425], "reporte": 93, "transpar": [93, 1139, 1140, 1141, 1142, 1143], "soon": [93, 94, 344, 504, 505, 508, 509, 1411], "72": [93, 291, 316, 360, 1327], "hour": [93, 106], "adapt": [93, 347, 348, 349, 451, 490, 683, 684, 685, 686, 712, 713, 714, 715, 716, 717, 1390, 1411, 1421], "familiar": [94, 95, 719, 720, 1332, 1436], "scientif": [94, 108, 110, 112, 129, 285, 328, 440, 1334, 1434], "want": [94, 97, 102, 103, 111, 112, 166, 200, 208, 244, 270, 272, 274, 277, 298, 299, 300, 329, 392, 394, 401, 407, 408, 409, 498, 506, 507, 510, 511, 579, 601, 604, 711, 751, 798, 864, 889, 894, 909, 927, 930, 945, 971, 976, 991, 1010, 1013, 1040, 1041, 1042, 1043, 1045, 1088, 1089, 1160, 1195, 1287, 1306, 1332, 1334, 1347, 1350, 1365, 1371, 1382, 1402, 1413, 1436], "faq": [94, 97, 1422, 1423], "go": [94, 100, 102, 103, 162, 331, 345, 382, 617, 1069, 1179, 1263, 1293, 1422], "fork": 94, "button": 94, "clone": [94, 112], "local": [94, 214, 215, 216, 217, 223, 231, 232, 236, 262, 263, 296, 315, 329, 333, 343, 411, 412, 413, 414, 415, 416, 417, 418, 419, 421, 423, 430, 487, 489, 514, 522, 523, 575, 594, 689, 691, 759, 1201, 1235, 1334, 1411, 1416, 1418, 1436], "usernam": 94, "navig": [94, 1201, 1407, 1415, 1416], "folder": [94, 1416], "remot": [94, 107], "instruct": [94, 98, 100, 101, 112, 1415, 1420, 1422], "venv": [94, 112, 1422], "pip": [94, 107, 112, 1412, 1422], "virtualenv": 94, "dev": [94, 283, 1045, 1108, 1420, 1421, 1423, 1424], "live": [94, 101], "instal": [94, 97, 107, 110, 617, 852, 897, 933, 979, 1332, 1405, 1413, 1414, 1415, 1416, 1421, 1422, 1430], "runtim": [94, 219, 222, 227, 236, 250, 515, 680, 788], "pydot": [94, 96, 112, 1130, 1131, 1132, 1134, 1331, 1332, 1405, 1407, 1415, 1416, 1417, 1421, 1423, 1428, 1429, 1430, 1434, 1436], "properli": [94, 1302, 1421], "pytest": [94, 112, 1041, 1420, 1421, 1422, 1423, 1428, 1429, 1433, 1434], "pyarg": [94, 112, 1041], "conda": [94, 1422, 1423], "anaconda": 94, "miniconda": 94, "forg": [94, 1275], "pre": [94, 102, 316, 328, 332, 716, 1332, 1415, 1421, 1422, 1423, 1428, 1434], "hook": [94, 1421, 1431, 1434], "latest": [94, 95, 100, 107, 112, 1136, 1139, 1140, 1141, 1142, 1143, 1415, 1430, 1432], "checkout": [94, 98], "branch": [94, 95, 98, 105, 107, 112, 209, 354, 462, 723, 724, 725, 727, 743, 744, 760, 762, 1151, 1161, 1404, 1415, 1416, 1422, 1430, 1433], "sensibl": [94, 730], "bugfix": [94, 1415, 1416, 1420, 1422, 1423], "1480": 94, "pythonpath": [94, 1332], "befor": [94, 95, 100, 101, 102, 103, 108, 110, 112, 133, 159, 207, 323, 352, 353, 379, 385, 455, 457, 468, 555, 590, 680, 694, 695, 696, 732, 754, 859, 904, 940, 986, 1094, 1095, 1096, 1100, 1101, 1102, 1103, 1104, 1117, 1121, 1151, 1152, 1153, 1154, 1156, 1158, 1161, 1163, 1165, 1166, 1169, 1181, 1183, 1184, 1186, 1188, 1189, 1190, 1196, 1197, 1198, 1206, 1207, 1217, 1219, 1221, 1223, 1228, 1249, 1250, 1251, 1252, 1253, 1254, 1255, 1256, 1258, 1259, 1260, 1261, 1262, 1263, 1265, 1266, 1267, 1268, 1269, 1270, 1279, 1301, 1302, 1338, 1339, 1342, 1343, 1344, 1376, 1377, 1387, 1388, 1402, 1411, 1416, 1418, 1419, 1420, 1422, 1423, 1425], "catch": [94, 1415, 1428, 1429], "integr": [94, 108, 1241, 1277, 1317, 1329, 1417, 1425, 1434], "push": [94, 95, 107, 375, 511, 760, 1308, 1411, 1416, 1434], "review": [94, 96, 97, 98, 101, 107, 108, 110, 111, 221, 237, 242, 245, 249, 328, 334, 335, 357, 358, 360, 380, 385, 429, 440, 487, 488, 489, 1181, 1199, 1228, 1235, 1422, 1426], "pr": [94, 95, 98, 100, 102, 106, 107, 108, 568, 1284, 1285, 1404, 1412], "trigger": 94, "servic": [94, 107, 111, 1391], "pass": [94, 100, 103, 104, 116, 153, 158, 159, 196, 207, 209, 230, 240, 241, 253, 254, 258, 261, 298, 299, 307, 308, 316, 328, 332, 413, 414, 418, 419, 420, 421, 472, 504, 505, 508, 509, 588, 595, 672, 680, 725, 726, 727, 728, 751, 753, 755, 798, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 961, 968, 983, 985, 986, 1008, 1040, 1041, 1042, 1043, 1133, 1139, 1141, 1160, 1199, 1203, 1275, 1284, 1285, 1304, 1306, 1369, 1408, 1411, 1413, 1415, 1417, 1418, 1421, 1422, 1423, 1424, 1425, 1428, 1436], "fail": [94, 101, 194, 196, 312, 325, 466, 470, 499, 566, 568, 630, 631, 632, 884, 886, 923, 925, 933, 966, 968, 979, 1006, 1008, 1042, 1043, 1046, 1332, 1415, 1416, 1420, 1421, 1423, 1428, 1430, 1432], "why": [94, 105, 116, 681], "inspect": [94, 102, 1050, 1302, 1426], "inlin": [94, 1429], "ve": [94, 97, 1332], "learn": [94, 95, 104, 106, 112, 344, 513, 514, 592, 593, 594, 772, 1332, 1436], "overal": [94, 383], "qualiti": [94, 104, 126, 231, 232, 1302, 1422, 1434], "discourag": [94, 103, 1414, 1421], "critic": [94, 95, 333, 436], "veri": [94, 98, 100, 102, 104, 221, 232, 354, 385, 387, 502, 514, 679, 680, 706, 719, 1041, 1064, 1069, 1414, 1434, 1436], "grate": [94, 95], "donat": 94, "sure": [94, 96, 98, 100, 112, 116, 430, 1141, 1156, 1158, 1163, 1165, 1166, 1169, 1302, 1356], "phrase": [94, 103, 764], "modif": [94, 111, 407, 408, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717], "releas": [94, 95, 96, 97, 100, 104, 111, 1213, 1216, 1331, 1365, 1366, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "release_dev": [94, 107], "rst": [94, 100, 107, 1416, 1417, 1420, 1421, 1422, 1423, 1431], "deprec": [94, 97, 104, 107, 346, 350, 351, 356, 1192, 1369, 1370, 1403, 1404, 1412, 1413, 1415, 1429, 1431], "curly_hair": 94, "deprecationwarn": 94, "conftest": [94, 96, 1422], "filterwarn": 94, "remind": [94, 95], "misc": [94, 104, 1422, 1425], "generate_unique_nod": [94, 1422, 1434], "4281": [94, 1422], "read_yaml": [94, 1414, 1422], "write_yaml": [94, 1414, 1422], "123": [94, 382, 1109], "longer": [94, 95, 100, 103, 104, 108, 216, 217, 513, 514, 581, 1120, 1223, 1281, 1402, 1403, 1405, 1407, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1422, 1425, 1434], "fetch": 94, "unmerg": 94, "modifi": [94, 95, 100, 102, 104, 110, 153, 158, 159, 196, 227, 323, 379, 587, 589, 679, 680, 694, 695, 696, 721, 735, 736, 738, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1048, 1066, 1105, 1106, 1108, 1160, 1183, 1276, 1287, 1301, 1402, 1415, 1422, 1434, 1436], "file_with_conflict": 94, "insid": [94, 102, 112, 221, 721, 1045, 1127, 1259, 1302, 1422], "kept": [94, 107], "delet": [94, 96, 107, 323, 327, 620, 621, 673, 674, 675, 676, 769, 1160, 1306, 1332, 1358, 1360, 1384, 1386, 1402, 1403, 1415, 1416, 1422, 1434], "rest": [94, 108, 185, 215, 412, 416, 875, 918, 957, 1001, 1434], "advanc": [94, 104, 576, 594, 620, 675, 760, 798, 1040, 1042, 1043, 1198, 1286, 1296, 1422, 1423], "rebas": [94, 95], "squash": [94, 95], "often": [94, 95, 100, 102, 103, 106, 380, 385, 386, 390, 466, 734, 782, 788, 798, 1040, 1041, 1042, 1043, 1127, 1128, 1129, 1240, 1302, 1332, 1334, 1414, 1434], "typic": [94, 98, 104, 128, 306, 798, 1040, 1042, 1043, 1105, 1106, 1181, 1329, 1422], "propos": [94, 98, 99, 100, 102, 103, 104, 105, 106, 108, 216, 231, 300, 580, 690, 1390, 1421, 1422, 1423, 1431], "easi": [94, 98, 103, 108, 110, 298, 299, 386, 762, 1127, 1129, 1332, 1334, 1391, 1421], "demonstr": [94, 101, 311, 1413, 1415], "spread": [94, 302, 303, 309, 310, 331], "sp": [94, 472, 475, 1104, 1395, 1436], "pd": [94, 1102, 1103, 1106, 1421], "stat": [94, 245, 382, 383, 750, 752, 1199, 1203, 1230, 1234, 1238], "optim": [94, 108, 113, 126, 209, 213, 227, 231, 232, 332, 355, 364, 382, 383, 384, 387, 424, 431, 498, 510, 674, 694, 722, 724, 725, 726, 727, 728, 731, 733, 734, 762, 782, 1111, 1120, 1241, 1326, 1327, 1411, 1420, 1421, 1425], "subpackag": [94, 106, 769, 1332, 1422, 1434], "particular": [94, 98, 111, 116, 359, 376, 519, 620, 752, 1181, 1284, 1285, 1334, 1356, 1418], "decor": [94, 103, 104, 1048, 1049, 1050, 1303, 1304, 1305, 1306, 1307, 1331, 1414, 1416, 1420, 1422, 1423, 1426, 1434], "not_implemented_for": [94, 1302, 1416, 1426], "doesn": [94, 95, 98, 102, 103, 157, 171, 563, 564, 565, 763, 798, 857, 868, 902, 913, 938, 949, 984, 995, 1040, 1042, 1043, 1120, 1181, 1183, 1185, 1222, 1228, 1302, 1332, 1413, 1415, 1416, 1421, 1423, 1434], "function_not_for_multidigraph": 94, "function_only_for_graph": 94, "framework": [94, 103, 1364], "submodul": [94, 1422], "specif": [94, 97, 100, 102, 108, 111, 112, 113, 158, 185, 233, 348, 349, 372, 460, 504, 505, 508, 509, 519, 567, 683, 685, 705, 858, 875, 903, 918, 939, 949, 957, 985, 995, 1001, 1126, 1139, 1141, 1143, 1171, 1199, 1205, 1293, 1294, 1302, 1332, 1349, 1351, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386, 1389, 1390, 1391, 1407, 1414, 1418, 1421, 1423, 1433, 1436], "readwrit": [94, 96, 1351, 1353, 1354, 1355, 1356, 1365, 1366, 1371, 1372, 1411, 1415, 1416, 1422], "test_edgelist": 94, "test_parse_edgelist_with_data_list": 94, "doctest": [94, 107, 1416, 1417, 1420, 1421, 1422, 1434], "ideal": [94, 1391], "coverag": [94, 98, 110, 388, 1416, 1420, 1421, 1422, 1429, 1433, 1434], "cov": 94, "stmt": 94, "miss": [94, 106, 472, 571, 575, 607, 609, 612, 613, 1161, 1349, 1410, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1433, 1434], "brpart": 94, "91": [94, 627, 1422], "114": [94, 490, 492, 496, 1415], "cliqu": [94, 210, 211, 212, 225, 235, 341, 342, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 378, 425, 439, 445, 551, 734, 760, 1172, 1173, 1177, 1178, 1180, 1194, 1223, 1282, 1331, 1404, 1408, 1409, 1415, 1417, 1420, 1421, 1422, 1423], "97": [94, 111, 359], "troubl": [94, 225, 1418, 1422], "anywai": [94, 102, 1418], "gather": [94, 100], "assembl": [94, 1049, 1050, 1302], "idea": [94, 95, 98, 100, 103, 106, 133, 218, 375, 425, 430, 689, 691, 1332, 1390, 1413, 1416], "plot_": 94, "plot_new_exampl": 94, "highlight": [94, 107, 1412], "resourc": [94, 97, 478, 479, 480, 574, 575, 620, 1171, 1206], "docstr": [94, 95, 96, 98, 110, 349, 1351, 1354, 1355, 1356, 1408, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1429, 1430, 1431, 1432, 1434], "chicago": [94, 1271], "citat": [94, 98, 348, 349, 568, 1245, 1421], "quickest": 94, "scholar": 94, "paywal": 94, "arxiv": [94, 111, 129, 218, 221, 301, 306, 334, 335, 357, 360, 373, 374, 375, 387, 388, 429, 434, 435, 439, 514, 575, 621, 627, 687, 695, 1159, 1175, 1176, 1177, 1191, 1233, 1275, 1286], "access": [94, 102, 126, 152, 169, 190, 431, 473, 474, 475, 476, 477, 498, 608, 628, 629, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 695, 723, 762, 772, 791, 798, 855, 867, 880, 900, 912, 917, 936, 948, 962, 982, 994, 999, 1040, 1041, 1042, 1043, 1141, 1332, 1401, 1402, 1403, 1405, 1407, 1408, 1411, 1415, 1416, 1417, 1419], "cheong": 94, "se": 94, "hang": 94, "yain": 94, "whar": 94, "schemat": 94, "placement": [94, 616], "survei": [94, 111, 566, 568, 583, 788, 1207], "2020": [94, 100, 101, 102, 103, 571, 1415, 1421], "1177": 94, "2f1473871618821740": 94, "upload": [94, 107, 218], "pdf": [94, 111, 113, 129, 215, 216, 217, 218, 221, 236, 306, 312, 313, 316, 323, 325, 326, 327, 332, 344, 357, 358, 375, 412, 413, 414, 415, 416, 417, 419, 428, 429, 432, 444, 449, 450, 478, 485, 492, 496, 513, 514, 521, 566, 568, 569, 572, 573, 575, 620, 621, 692, 695, 750, 751, 752, 762, 764, 1045, 1199, 1203, 1204, 1332, 1416, 1421, 1436], "docx": 94, "ppt": 94, "lectur": [94, 111, 414, 433, 500, 618, 1209], "wayback": [94, 1422], "machin": [94, 313, 333, 496, 513, 514, 764, 1405, 1415, 1422], "snapshot": 94, "unreach": 94, "tell": [94, 100, 103, 762, 1281, 1284, 1285, 1302, 1334, 1421], "compar": [94, 466, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 561, 562, 563, 564, 565, 617, 762, 784, 1171, 1308, 1423], "baselin": [94, 1140, 1142], "ones": [94, 100, 108, 110, 283, 682, 1041, 1404, 1411, 1413], "savefig": [94, 1436], "mpl_image_compar": 94, "test_barbel": 94, "barbel": [94, 294, 295, 393, 426, 1152, 1163, 1282, 1436], "conduct": [94, 97, 101, 110, 449, 450, 760], "contributor": [95, 97, 100, 106, 107, 111, 1277, 1329, 1412], "shepherd": [95, 100], "mission": [95, 97, 98, 101, 108], "approv": [95, 101], "nuclear": 95, "launch": 95, "carefulli": 95, "clean": [95, 107, 532, 542, 1306, 1415, 1416, 1420, 1422, 1429, 1434], "nearli": 95, "volunt": [95, 108, 1422], "tremend": 95, "felt": 95, "evalu": [95, 131, 153, 158, 159, 196, 332, 620, 621, 628, 629, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1127, 1129, 1302, 1426], "novic": 95, "strongli": [95, 218, 233, 390, 393, 399, 400, 401, 405, 407, 408, 425, 482, 493, 494, 521, 590, 635, 699, 701, 753, 755, 1191, 1387, 1411, 1415, 1420, 1423, 1426, 1434], "mentorship": [95, 1422], "handhold": 95, "liber": 95, "workflow": [95, 97, 98, 101, 107, 1422, 1429], "realiz": [95, 515, 516, 517, 518, 519, 520, 695, 1181, 1183, 1186, 1213, 1214, 1215, 1216, 1228, 1270], "gentl": 95, "abandon": 95, "difficult": [95, 1414], "carri": [95, 101, 510], "polici": [95, 97, 100, 1421, 1423], "effici": [95, 103, 113, 213, 276, 291, 379, 389, 391, 392, 394, 396, 401, 407, 408, 409, 424, 427, 428, 488, 489, 510, 514, 583, 616, 682, 690, 693, 700, 701, 760, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1185, 1209, 1236, 1331, 1394, 1398, 1407, 1408, 1415, 1416, 1417, 1420, 1422], "explor": [95, 106, 108, 111, 706, 713, 719], "corner": [95, 1416, 1423], "tempt": 95, "nitpicki": 95, "spell": [95, 1415, 1421, 1422], "suggest": [95, 103, 106, 634, 637, 638, 1171, 1332, 1411, 1415, 1421, 1423, 1434], "latter": [95, 101, 103, 442, 731, 733, 793, 1305], "choic": [95, 103, 205, 387, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 481, 504, 505, 508, 509, 736, 737, 738, 739, 782, 893, 975, 1041, 1045, 1231, 1247, 1286, 1332, 1436], "wish": [95, 621, 1069, 1402], "bring": [95, 102, 568], "advis": [95, 111, 1423], "aris": [95, 111, 239, 244, 1223, 1251], "experienc": 95, "credit": [95, 106], "send": [95, 100, 498, 499, 503, 506, 507, 510, 1402, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "notif": 95, "maintain": [95, 96, 100, 101, 104, 106, 108, 110, 231, 232, 616, 798, 1040, 1042, 1043, 1415, 1434], "concern": [95, 102, 104, 133, 791, 793, 1390], "mere": [95, 1152, 1163], "understood": 95, "made": [95, 100, 101, 103, 223, 283, 285, 286, 287, 288, 289, 325, 326, 333, 695, 696, 1125, 1216, 1332, 1402, 1412, 1413, 1416, 1421], "freeli": 95, "consult": [95, 112], "extern": [95, 108, 621, 1332, 1391, 1416], "insight": 95, "opportun": [95, 100], "patch": [95, 100, 103, 1045, 1139, 1141, 1421, 1422], "vouch": 95, "fulli": [95, 763, 1045, 1194], "behind": [95, 106], "clarif": [95, 300, 323], "deem": 95, "nich": 95, "devot": 95, "sustain": [95, 97], "effort": [95, 108, 1332], "priorit": 95, "similarli": [95, 104, 116, 208, 348, 358, 600, 623, 798, 894, 930, 976, 1013, 1040, 1042, 1043, 1045, 1154, 1181, 1183, 1199, 1204, 1213, 1302, 1403, 1413, 1436], "worth": [95, 763, 1436], "mainten": 95, "burden": 95, "necessari": [95, 96, 101, 105, 529, 539, 956, 1000, 1141, 1143, 1302, 1415, 1421], "valid": [95, 102, 162, 178, 257, 278, 279, 282, 283, 379, 388, 441, 460, 466, 468, 499, 515, 516, 517, 518, 519, 520, 561, 562, 580, 581, 582, 590, 616, 617, 736, 737, 738, 739, 748, 760, 1041, 1046, 1074, 1090, 1103, 1107, 1108, 1171, 1193, 1199, 1243, 1244, 1280, 1284, 1285, 1302, 1337, 1340, 1416, 1421, 1422, 1423, 1426, 1428, 1431], "wari": 95, "alien": 95, "visibl": [95, 98], "thread": [95, 98, 100, 104, 105, 1422], "appeal": [95, 101], "empow": 95, "regardless": [95, 100, 1141, 1197, 1413], "outcom": [95, 106, 1039, 1091, 1390, 1426], "past": [95, 107, 1387, 1414], "pep8": [95, 1416, 1421, 1425], "pep257": 95, "superset": [95, 584], "stackoverflow": 95, "monitor": [95, 102], "signatur": [96, 98, 104, 110, 547, 1048, 1302, 1408, 1413, 1416, 1422, 1428, 1431, 1434], "buggi": 96, "usual": [96, 102, 169, 177, 190, 292, 293, 331, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 440, 442, 469, 617, 755, 764, 798, 867, 872, 880, 912, 948, 953, 962, 994, 1042, 1043, 1045, 1048, 1097, 1180, 1205, 1223, 1278, 1302, 1332, 1412], "minor": [96, 101, 107, 586, 760, 1331, 1403, 1404, 1412, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "strict": [96, 111, 215, 216, 217, 621, 1417, 1422], "rule": [96, 101, 200, 510, 762, 889, 927, 971, 1010, 1064, 1085, 1150, 1304], "procedur": [96, 98, 100, 218, 221, 282, 306, 379, 510, 682, 1194, 1387, 1426], "upon": [96, 103, 582, 1302, 1422, 1425], "justif": [96, 105], "literal_string": [96, 1351, 1356, 1392, 1421], "literal_destring": [96, 1353, 1355, 1392, 1421], "coreview": [96, 1422, 1434], "filter": [96, 323, 455, 1039, 1064, 1085, 1091, 1275, 1330, 1331, 1422, 1434], "link_analysi": [96, 1414], "pagerank_alg": [96, 1414], "replac": [96, 100, 103, 104, 203, 233, 271, 387, 413, 414, 432, 433, 514, 585, 798, 892, 928, 936, 974, 982, 1011, 1040, 1042, 1043, 1054, 1097, 1231, 1247, 1301, 1302, 1303, 1317, 1323, 1332, 1353, 1369, 1370, 1387, 1402, 1403, 1405, 1408, 1413, 1415, 1416, 1417, 1418, 1420, 1421, 1422, 1423, 1426, 1431, 1433, 1434], "pagerank": [96, 312, 313, 325, 326, 327, 567, 760, 1289, 1290, 1403, 1407, 1414, 1415, 1416, 1422, 1434], "pagerank_scipi": [96, 1414, 1420, 1422], "renam": [96, 103, 107, 599, 603, 606, 611, 1301, 1354, 1355, 1363, 1403, 1416, 1421, 1430, 1433], "pagerank_numpi": [96, 1414, 1416, 1422], "_pagerank_numpi": 96, "convert_matrix": [96, 1395, 1416, 1420, 1422], "to_pandas_edgelist": [96, 1103, 1416, 1417, 1422, 1434], "binari": [96, 111, 431, 478, 588, 595, 732, 741, 1423], "asmatrix": 96, "wrapper": [96, 1122, 1131, 1302, 1414, 1422], "google_matrix": [96, 568, 1423, 1434], "futurewarn": [96, 1422, 1423], "attrmatrix": [96, 1434], "reflect": [96, 100, 104, 200, 297, 302, 303, 304, 309, 310, 324, 468, 889, 927, 971, 1010, 1064, 1069, 1085, 1088, 1089, 1332, 1415, 1416, 1429], "ndarrai": [96, 108, 567, 631, 1101, 1105, 1284, 1395, 1414, 1423, 1434], "distance_measur": [96, 218, 1420], "extrema_bound": [96, 1425, 1434], "maxcardin": [96, 583, 585, 1425, 1434], "min_weight_match": [96, 760, 1425, 1434], "scale_free_graph": [96, 1422, 1429], "nx_pydot": [96, 1044, 1045, 1130, 1131, 1132, 1133, 1134, 1405, 1417, 1434, 1436], "5723": [96, 1434], "node_link": [96, 1416, 1431, 1434], "node_link_graph": [96, 1369, 1392], "forest_str": [96, 1422], "write_network_text": [96, 1279, 1392], "1rc1": [97, 111, 1331, 1426], "dev0": [97, 111, 1331], "feb": [97, 111, 1331], "2023": [97, 111, 1331, 1434], "about": [97, 100, 101, 102, 104, 106, 112, 116, 231, 232, 250, 415, 425, 490, 496, 500, 501, 511, 512, 621, 763, 764, 1041, 1064, 1069, 1147, 1223, 1302, 1329, 1332, 1415, 1416, 1420, 1421, 1422, 1423, 1425, 1431, 1434, 1436], "emeritu": 97, "introduct": [97, 111, 312, 313, 325, 326, 385, 387, 466, 468, 620, 621, 1161, 1275, 1308, 1331, 1420], "guidelin": [97, 100, 1425, 1428], "divers": [97, 108], "enforc": [97, 116, 695, 696, 1428, 1434], "endnot": 97, "diverg": [97, 1193, 1331, 1404], "upstream": [97, 466, 1428], "comparison": [97, 108, 232, 466, 496, 547, 548, 549, 550, 554, 555, 556, 558, 559, 560, 563, 564, 565, 617, 673, 675, 1422], "mentor": [97, 110, 1422, 1423, 1434], "pedagog": [97, 110, 349, 454, 724, 1414, 1423], "incorpor": [97, 100, 1408, 1436], "ismag": [97, 762, 1420, 1429], "me": [97, 1402], "roadmap": [97, 106, 1421, 1422], "linear": [97, 111, 113, 133, 143, 218, 281, 297, 302, 303, 304, 309, 310, 314, 324, 326, 340, 345, 380, 407, 408, 425, 490, 517, 616, 621, 688, 1111, 1139, 1141, 1186, 1188, 1275, 1281, 1282, 1283, 1292, 1331, 1410, 1411, 1414, 1415, 1420], "algebra": [97, 111, 314, 382, 387, 1272, 1281, 1292, 1331, 1404, 1411, 1414, 1415], "nxep": [97, 108, 110, 1412, 1421, 1425], "govern": [97, 99, 110, 1421], "slice": [97, 99, 108, 1422], "builder": [97, 99, 1157, 1329, 1422], "frequent": [98, 380, 677], "newcom": [98, 110, 1332], "few": [98, 101, 102, 104, 364, 1411, 1413, 1420, 1421, 1422, 1423], "known": [98, 228, 281, 294, 302, 303, 304, 309, 310, 324, 348, 371, 426, 452, 470, 620, 742, 743, 744, 745, 764, 793, 1071, 1100, 1151, 1154, 1206, 1207, 1230, 1234, 1236, 1238, 1253, 1278, 1330, 1387, 1421], "Of": [98, 1436], "sprint": [98, 1434], "permiss": [98, 111, 112, 459], "forget": 98, "sai": [98, 100, 102, 212, 514, 519, 520, 677, 678, 764, 1212, 1420], "rememb": [98, 102], "stick": [98, 1403], "plot_circular_layout": 98, "perhap": [98, 100, 103, 108], "deal": [98, 103], "worri": [98, 585, 1302, 1332], "ipython": 98, "field": [98, 100, 593, 595, 772, 1101, 1102, 1105, 1198], "breviti": 98, "offici": [98, 100, 1411, 1436], "inclus": [98, 100, 110, 221, 536, 546, 731, 733, 1127, 1194, 1220], "criteria": [98, 1434], "addit": [98, 100, 101, 104, 108, 112, 116, 185, 352, 425, 478, 536, 546, 547, 736, 738, 763, 793, 798, 875, 918, 949, 957, 982, 995, 1001, 1039, 1040, 1042, 1043, 1091, 1120, 1201, 1278, 1302, 1308, 1332, 1351, 1354, 1355, 1356, 1389, 1390, 1391, 1404, 1412, 1413, 1414, 1415, 1416, 1422, 1423, 1434, 1436], "fit": [98, 111, 1332], "enhanc": [99, 100, 108, 343, 510, 1302, 1421, 1434], "berkelei": [100, 101, 104, 620, 621], "stand": [100, 547, 1395], "primari": [100, 104, 1423], "gone": 100, "concis": [100, 111, 793, 1422, 1423], "rational": 100, "consensu": [100, 101], "dissent": 100, "opinion": [100, 101, 105], "revis": [100, 446, 734], "track": [100, 102, 103, 104, 105, 108, 116, 372, 389, 391, 392, 396, 600, 1302, 1308, 1415, 1420, 1421], "codebas": [100, 1302, 1413, 1414, 1421, 1434], "meta": [100, 107], "inject": 100, "repo": [100, 107, 1422, 1434], "success": [100, 316, 332, 498, 610, 694, 1186, 1248, 1436], "tend": [100, 595, 1181, 1332], "doubt": [100, 1436], "champion": 100, "attempt": [100, 102, 195, 203, 205, 283, 285, 286, 287, 288, 289, 363, 364, 379, 427, 428, 586, 694, 695, 696, 788, 885, 892, 893, 924, 928, 929, 967, 974, 975, 1007, 1011, 1012, 1044, 1125, 1231, 1243, 1244, 1308, 1339, 1353, 1377, 1402, 1403, 1415, 1420, 1421, 1430, 1434], "ascertain": 100, "suitabl": [100, 111, 661, 695, 696, 1171, 1365, 1369, 1371, 1393, 1398], "draft": [100, 103, 104, 105, 1420, 1421, 1422, 1425, 1434], "0000": 100, "backward": [100, 218, 1205, 1411, 1413, 1415], "compat": [100, 431, 498, 693, 1308, 1413, 1414, 1415, 1421, 1423], "impact": [100, 101, 108, 331, 798, 1040, 1042, 1043], "broader": 100, "scope": [100, 108, 1045, 1048, 1127, 1128, 1129, 1422], "earliest": [100, 467], "conveni": [100, 102, 153, 499, 503, 506, 507, 510, 617, 798, 856, 901, 937, 983, 1040, 1041, 1042, 1043, 1129, 1137, 1138, 1144, 1145, 1146, 1147, 1148, 1276, 1302, 1332, 1403, 1414, 1418, 1436], "expand": [100, 102, 375, 655, 1041, 1196, 1331, 1404, 1415, 1416, 1417, 1422, 1433, 1434], "prototyp": 100, "sound": 100, "principl": [100, 101, 104, 133], "impract": 100, "wip": [100, 1416, 1417, 1421], "stabil": [100, 336, 337, 683, 685], "provision": 100, "short": [100, 105, 162, 228, 1041, 1069, 1201, 1415], "unlik": [100, 101, 213, 368, 427, 428, 1391], "reject": [100, 101, 105, 1325], "withdrawn": [100, 105], "wherev": [100, 1288], "defer": [100, 102, 105, 281], "challeng": 100, "wider": 100, "done": [100, 102, 103, 231, 232, 250, 375, 442, 468, 519, 566, 568, 616, 692, 764, 1049, 1225, 1302, 1332, 1413], "fact": [100, 354, 462, 621, 1213, 1216, 1413], "actual": [100, 116, 133, 166, 211, 214, 215, 216, 217, 221, 289, 387, 452, 579, 627, 694, 719, 720, 864, 909, 945, 991, 1105, 1106, 1205, 1302, 1330, 1332, 1411, 1425], "compet": [100, 585], "accordingli": [100, 456, 1113, 1416, 1434], "supersed": [100, 105], "render": [100, 106, 217, 412, 415, 1415], "obsolet": [100, 268, 1343, 1415, 1416], "never": [100, 185, 390, 610, 875, 918, 957, 1001, 1242], "meant": [100, 292, 293, 633, 1223, 1332, 1422, 1426], "concret": [100, 101], "think": [100, 103, 231, 232, 300, 763, 1436], "bodi": [100, 1249], "briefli": 100, "sentenc": [100, 101], "substant": 100, "pipermail": 100, "2018": [100, 316, 332, 439, 762, 1415, 1417, 1418], "june": [100, 693, 1261, 1407, 1411, 1415, 1428, 1429], "078345": 100, "verg": 100, "chanc": [100, 231, 1240, 1302], "period": [100, 1217, 1218, 1219, 1221, 1303, 1412, 1415, 1421], "beyond": [100, 108, 385, 1216, 1242], "fine": 100, "shouldn": [100, 103], "rigid": 100, "compromis": 100, "followup": [100, 1422], "notifi": [100, 1423], "celebratori": 100, "emoji": 100, "again": [100, 430, 763, 1223, 1412, 1416, 1420, 1425], "unusu": [100, 1402], "disagr": [100, 101], "escal": [100, 101], "controversi": [100, 108], "ultim": 100, "practic": [100, 211, 221, 483, 484, 496, 621, 655, 1334, 1414], "precis": [100, 313, 570, 574, 583, 1275, 1404, 1418], "natur": [100, 103, 110, 378, 445, 468, 587, 589, 620, 755, 1160, 1223, 1231, 1247, 1302, 1332, 1402, 1419], "utf": [100, 268, 269, 1339, 1340, 1343, 1344, 1345, 1346, 1347, 1350, 1361, 1364, 1374, 1377, 1378, 1381, 1382, 1395, 1415], "restructuredtext": 100, "restructuredtextprim": 100, "dd": [100, 105, 1097], "mmm": 100, "yyyi": [100, 105], "dom": 100, "ain": 100, "separ": [100, 103, 106, 107, 153, 158, 159, 196, 215, 216, 259, 266, 267, 268, 269, 300, 323, 345, 429, 430, 456, 466, 760, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1048, 1115, 1119, 1199, 1201, 1222, 1331, 1337, 1338, 1339, 1340, 1341, 1342, 1343, 1344, 1345, 1346, 1375, 1376, 1377, 1378, 1404, 1415, 1416, 1421, 1422, 1434, 1436], "older": 100, "brows": 100, "colgat": [101, 111], "deadlock": 101, "websit": [101, 107, 1171, 1390, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "ongo": [101, 1414], "trust": [101, 1389, 1391], "cast": [101, 102, 1421, 1431], "vote": [101, 339, 1421], "therebi": 101, "adher": 101, "nomin": 101, "lazi": [101, 327, 1289, 1290], "unanim": 101, "agreement": [101, 1208], "initi": [101, 103, 142, 231, 232, 283, 316, 325, 326, 340, 375, 379, 380, 468, 497, 513, 514, 527, 537, 617, 694, 721, 735, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1105, 1108, 1111, 1120, 1191, 1192, 1193, 1194, 1229, 1233, 1240, 1284, 1285, 1302, 1308, 1329, 1403, 1404, 1415, 1420, 1421, 1422, 1423], "voic": 101, "smooth": 101, "strateg": 101, "plan": [101, 106, 1403, 1414, 1416, 1422], "fund": [101, 1423, 1434], "theirs": 101, "pursu": 101, "pictur": [101, 1127, 1128, 1129], "perspect": [101, 105, 1201, 1332], "timefram": 101, "entiti": [101, 1351, 1354, 1355, 1356, 1390, 1436], "occasion": [101, 231], "seek": [101, 764, 1358, 1360, 1384, 1386, 1395], "tri": [101, 113, 345, 382, 933, 979, 1042, 1043, 1181, 1187, 1231, 1243, 1244, 1413], "distinguish": [101, 936, 965, 982, 1005, 1043], "fundament": [101, 108, 111, 340, 451, 620, 621, 1223, 1422], "flaw": 101, "forward": [101, 106, 218, 452, 713, 719, 720], "typo": [101, 1405, 1415, 1416, 1417, 1420, 1421, 1422, 1423, 1425, 1426, 1428, 1430, 1434], "land": 101, "outlin": [101, 250, 338, 464, 1416], "templat": [101, 1422], "taken": [101, 102, 146, 149, 208, 445, 452, 719, 720, 751, 763, 894, 930, 976, 1013, 1120, 1418], "suffici": [101, 102, 1332], "scikit": [101, 104, 110], "expos": [102, 376, 1414], "nodeview": [102, 185, 393, 600, 601, 603, 604, 605, 606, 697, 875, 918, 957, 1001, 1039, 1091, 1355, 1368, 1413, 1416], "nodedataview": [102, 185, 393, 593, 594, 602, 875, 918, 957, 1001, 1223, 1436], "edgeview": [102, 592, 593, 594, 600, 601, 602, 603, 604, 605, 606, 614, 626, 772, 912, 1039, 1091, 1101, 1413, 1422], "edgedataview": [102, 169, 190, 867, 880, 912, 948, 962, 994, 1101, 1223, 1368, 1421, 1436], "semant": [102, 533, 543, 764, 1412, 1414], "inher": [102, 221, 429], "impli": [102, 111, 133, 221, 313, 315, 329, 457, 468, 513, 514, 547, 1302], "element": [102, 103, 231, 232, 271, 292, 293, 312, 352, 373, 393, 459, 466, 520, 561, 562, 580, 581, 582, 588, 642, 658, 673, 675, 677, 679, 730, 732, 741, 751, 754, 1039, 1041, 1051, 1052, 1053, 1054, 1090, 1091, 1141, 1143, 1179, 1212, 1217, 1218, 1223, 1243, 1244, 1246, 1255, 1278, 1283, 1284, 1285, 1288, 1293, 1294, 1302, 1308, 1309, 1317, 1324, 1329, 1361, 1364, 1367, 1368, 1414], "intend": [102, 105, 108, 112, 329, 569, 1041, 1045, 1275, 1302, 1402], "impos": [102, 104, 547, 793], "due": [102, 103, 110, 232, 265, 442, 583, 585, 628, 629, 1223, 1414, 1421, 1423, 1432, 1434], "bit": [102, 210, 212, 213, 455, 513, 514, 788, 1351, 1354, 1355, 1356, 1390, 1420, 1434], "lot": [102, 106, 454, 1332, 1414], "screen": 102, "instinct": 102, "error": [102, 103, 153, 158, 159, 196, 281, 289, 297, 312, 325, 416, 424, 473, 474, 475, 476, 477, 491, 499, 503, 506, 507, 510, 558, 559, 560, 566, 568, 583, 586, 655, 662, 669, 677, 678, 798, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1040, 1046, 1120, 1150, 1405, 1410, 1413, 1415, 1416, 1420, 1421, 1422, 1423, 1426, 1428, 1434], "definit": [102, 133, 236, 239, 244, 290, 292, 293, 304, 324, 344, 358, 400, 437, 439, 466, 469, 551, 552, 553, 610, 620, 621, 622, 627, 678, 687, 689, 702, 737, 739, 793, 1198, 1199, 1203, 1223, 1241, 1293, 1332, 1415, 1422, 1436], "coupl": [102, 103, 133, 1263, 1411, 1413], "realis": 102, "But": [102, 103, 108, 144, 171, 239, 244, 257, 278, 279, 282, 298, 299, 585, 798, 868, 913, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1042, 1043, 1097, 1334, 1402, 1434], "seem": [102, 103, 299, 308, 793, 1240], "eas": [102, 108, 1418], "idiom": [102, 160, 191, 201, 860, 881, 890, 905, 941, 963, 972, 987, 1302, 1403, 1413, 1420], "subscript": [102, 152, 160, 201, 798, 855, 860, 890, 900, 905, 936, 941, 972, 982, 987, 1040, 1042, 1043, 1403, 1436], "repr": [102, 1353, 1422], "4950": [102, 1423], "traceback": [102, 452, 466, 586, 654, 660, 1308, 1309], "recent": [102, 439, 452, 466, 586, 654, 660, 966, 1006, 1308, 1309, 1420], "typeerror": [102, 384, 466, 1212, 1308, 1413], "opaqu": 102, "ambigu": [102, 104, 116, 253, 254, 466, 764, 1046, 1415], "ambigi": 102, "counter": [102, 154, 359], "nativ": [102, 110], "caveat": 102, "nodes_it": [102, 1413, 1416], "toward": [102, 687, 1416, 1422, 1434], "inner": [102, 231, 232, 382, 798, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1042, 1043, 1089], "synonym": 102, "primarili": [102, 1436], "becam": [102, 1420], "concept": [102, 133, 221, 311, 429, 690, 1046], "intuit": [102, 110], "On": [102, 106, 157, 218, 295, 298, 299, 307, 308, 316, 382, 407, 408, 516, 517, 520, 595, 857, 902, 938, 984, 1186, 1208, 1230, 1234, 1238], "front": [102, 621, 1039, 1091], "constuct": 102, "indx": 102, "desir": [102, 103, 143, 144, 205, 348, 349, 424, 427, 428, 600, 631, 649, 893, 975, 1088, 1097, 1105, 1106, 1108, 1127, 1128, 1156, 1158, 1163, 1165, 1166, 1169, 1171, 1193, 1224, 1226, 1227, 1240, 1287, 1362, 1363, 1423, 1436], "prelimanari": 102, "impelement": 102, "4086": 102, "rid": [102, 1422], "getitem": 102, "dunder": [102, 108, 1302, 1422], "isinst": [102, 104, 466, 1089, 1420, 1421, 1422], "_node": [102, 1431], "exclus": [102, 451, 478], "necess": 102, "unhash": [102, 1413], "impel": 102, "insipir": 102, "colon": [102, 1430], "syntax": [102, 103, 172, 798, 869, 914, 950, 996, 1040, 1042, 1043, 1129, 1302, 1390, 1391, 1419, 1421], "introspect": 102, "neither": [102, 111, 306, 429, 627, 637, 638, 673, 674, 675, 676, 678, 702, 750], "downsid": 102, "drawback": 102, "discover": 102, "complic": [102, 1302, 1332], "nix": 102, "background": 102, "pertain": 102, "arguabl": [102, 103], "overrid": [102, 673, 674, 675, 676, 1127, 1128, 1129, 1420], "mix": [102, 237, 238, 239, 242, 243, 244, 245, 246, 249, 447, 760, 1103, 1347, 1348, 1350, 1361, 1362, 1363, 1364, 1389, 1391, 1402, 1415, 1416, 1420], "pervas": 102, "unforeseen": 102, "preced": [102, 153, 158, 466, 600, 705, 856, 858, 901, 903, 937, 939, 983, 985, 1048, 1369, 1370], "un": [102, 466, 734, 1416, 1422], "sliceabl": 102, "notabl": [102, 1045], "dict_kei": [102, 1309, 1423], "dict_valu": [102, 381, 1413, 1422], "cpython": [102, 108, 431, 498, 1041, 1411, 1422], "consider": [102, 104, 325, 326, 348, 349, 355, 527, 537, 557, 673, 674, 675, 676, 734, 762, 1174, 1422], "cours": [102, 106, 218, 620, 1332, 1436], "action": [102, 107, 1045, 1422, 1426, 1434], "allevi": 102, "dig": 102, "enough": [102, 470, 511, 1171, 1387], "satisfactorili": 102, "reconsid": [102, 1421], "went": [102, 504], "ahead": 102, "4300": [102, 1422], "4304": [102, 1422], "path_edg": 103, "former": [103, 104, 793], "stylist": 103, "creation": [103, 108, 111, 250, 276, 790, 1160, 1176, 1230, 1234, 1236, 1238, 1331, 1408, 1413, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "cleaner": [103, 1410, 1415], "creativ": [103, 466, 468], "demand": [103, 498, 499, 503, 506, 507, 510], "had": [103, 654, 1223, 1302, 1418, 1425], "node_iter": 103, "isn": [103, 348, 349, 722, 1337, 1340, 1415, 1423, 1434], "leav": [103, 232, 390, 502, 510, 586, 587, 588, 589, 680, 1151, 1161, 1302, 1413, 1418, 1436], "dg": [103, 208, 323, 457, 458, 459, 460, 461, 463, 464, 466, 467, 468, 469, 470, 471, 894, 930, 976, 1013, 1044, 1413, 1436], "mdg": [103, 208, 894, 930, 976, 1013, 1429], "customgraph": 103, "elist": [103, 1332], "isol": [103, 357, 382, 437, 493, 494, 524, 526, 623, 737, 739, 760, 1224, 1331, 1336, 1407, 1410, 1415, 1416, 1426], "ekei": [103, 208, 894, 930, 936, 976, 982, 1013, 1087, 1107], "protocol": [103, 1413], "hashabl": [103, 145, 152, 157, 172, 181, 268, 547, 548, 549, 550, 763, 798, 855, 857, 869, 873, 900, 902, 914, 916, 936, 938, 949, 950, 954, 965, 982, 984, 995, 996, 998, 1005, 1040, 1041, 1042, 1043, 1090, 1213, 1284, 1285, 1301, 1316, 1330, 1332, 1339, 1343, 1344, 1436], "logic": [103, 104, 221, 762, 764, 1304, 1415, 1416, 1428, 1434], "denot": [103, 115, 213, 220, 300, 301, 323, 569, 570, 571, 572, 573, 574, 575, 610, 621, 689, 690, 691, 692, 693, 1127, 1128, 1129, 1180], "multiedg": [103, 555, 936, 982, 1042, 1043, 1088, 1332, 1362, 1363, 1402, 1415, 1421, 1423], "attrdict": [103, 158, 858, 903, 939, 985, 1415], "edge_kei": [103, 491, 1042, 1043, 1103, 1107, 1422], "networkxinvalidedgelist": 103, "flexibl": [103, 111, 469, 1332, 1390, 1391, 1404, 1410, 1415, 1416, 1420, 1436], "wheel": [103, 107, 1169, 1267, 1420, 1430, 1434], "spoke": 103, "wheel_graph": [103, 343, 673, 674, 676], "star": [103, 261, 301, 617, 628, 629, 781, 1057, 1157, 1166, 1229, 1233, 1403, 1413, 1415, 1416, 1420], "mycustomgraph": 103, "configuration_model_graph": 103, "deg_sequ": [103, 517, 519, 520, 1181, 1182, 1183, 1184, 1186, 1228], "graph_build": 103, "py_random_st": [103, 104, 1302, 1305, 1414, 1434], "extended_barabasi_albert_graph": 103, "node_and_edge_build": 103, "ladder_graph": 103, "incompat": [103, 1205, 1411, 1412, 1415], "thrust": 103, "incept": 103, "attach": [103, 215, 275, 359, 571, 573, 623, 1039, 1091, 1125, 1188, 1191, 1229, 1233, 1235, 1332, 1436], "presum": [103, 1303], "rewritten": [103, 1404, 1411, 1415], "gradual": 103, "accomplish": [103, 110, 1171], "wrap": [103, 1048, 1050, 1127, 1129, 1302, 1307, 1310], "custom_graph": 103, "ichain": 103, "tripl": [103, 115, 250, 251, 713, 1420], "overli": 103, "empty_graph": [103, 755, 1060, 1164, 1303, 1329, 1415, 1418, 1419], "3036": 103, "1393": 103, "canon": [103, 686, 732, 1421], "huge": 103, "path_edgelist": 103, "disallow": [103, 798, 1040, 1042, 1043, 1193, 1426], "2022": [104, 106, 695, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433], "pseudo": [104, 105, 678, 1326, 1327, 1414, 1416], "nep19": 104, "legaci": [104, 1404, 1411, 1417], "randomst": [104, 1103, 1114, 1120, 1305, 1307, 1310, 1311, 1334, 1414, 1418], "statist": [104, 111, 129, 275, 360, 385, 387, 440, 1228, 1334, 1414], "strategi": [104, 124, 223, 364, 368, 372, 455], "engin": [104, 108, 731, 733, 1421], "modern": [104, 111, 1414], "prng": 104, "np_random_st": [104, 1307, 1414, 1423], "random_st": [104, 209, 214, 218, 223, 224, 228, 231, 232, 272, 273, 275, 276, 297, 298, 307, 370, 375, 379, 380, 382, 383, 591, 627, 683, 684, 685, 686, 688, 694, 695, 696, 703, 724, 740, 749, 1170, 1171, 1174, 1175, 1176, 1177, 1179, 1181, 1183, 1185, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1208, 1209, 1210, 1211, 1216, 1228, 1229, 1230, 1231, 1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242, 1243, 1244, 1245, 1246, 1247, 1275, 1279, 1281, 1282, 1283, 1302, 1305, 1307, 1310, 1311, 1325, 1334, 1423, 1434], "mtrand": 104, "12345": [104, 1307, 1414], "rng": [104, 1044, 1103, 1305, 1307, 1334, 1414, 1418], "default_rng": [104, 1044, 1414, 1423], "_gener": 104, "stream": [104, 1414], "slight": 104, "guarante": [104, 128, 134, 185, 211, 216, 217, 236, 282, 312, 340, 382, 424, 467, 499, 503, 506, 507, 510, 513, 514, 551, 552, 553, 566, 568, 591, 655, 662, 669, 724, 730, 732, 875, 918, 957, 1001, 1103, 1122, 1123, 1126, 1187, 1247, 1300, 1414], "upheld": 104, "exact": [104, 126, 211, 216, 217, 239, 270, 272, 274, 277, 673, 674, 675, 676, 693, 782, 1181, 1183, 1228, 1411, 1414], "instanti": [104, 1302, 1403, 1436], "num": 104, "uniform": [104, 567, 568, 627, 740, 1187, 1199, 1211, 1242, 1245, 1325, 1418, 1421], "92961609": 104, "31637555": 104, "18391881": 104, "20456028": 104, "56772503": 104, "5955447": 104, "96451452": 104, "6531771": 104, "74890664": 104, "65356987": 104, "22733602": 104, "31675834": 104, "79736546": 104, "67625467": 104, "39110955": 104, "33281393": 104, "59830875": 104, "18673419": 104, "67275604": 104, "94180287": 104, "recov": [104, 359, 731, 733, 1278, 1353, 1354, 1355, 1411, 1414, 1429], "create_random_st": [104, 1305], "randint": [104, 1103], "create_py_random_st": [104, 1307, 1421, 1425], "attributeerror": 104, "compatibl": 104, "pythonrandominterfac": [104, 1307, 1310], "_rand": 104, "implicitli": 104, "16988": 104, "14042": 104, "higher": [104, 259, 298, 300, 305, 307, 315, 317, 321, 322, 323, 329, 330, 333, 380, 522, 523, 618, 705, 1063, 1191, 1240], "constraint": [104, 618, 690, 691, 695, 696, 760, 793, 1422], "releat": 104, "slep": 104, "quit": [104, 468, 1085, 1171, 1240, 1402, 1436], "encapsul": 104, "valueerror": [104, 227, 281, 348, 349, 385, 424, 427, 428, 472, 586, 596, 597, 598, 599, 610, 634, 635, 637, 638, 662, 663, 664, 688, 751, 754, 1105, 1110, 1117, 1119, 1120, 1191, 1212, 1280, 1309, 1317, 1325, 1351, 1352, 1353, 1354, 1355, 1356, 1357, 1359, 1360, 1385, 1422], "captur": [104, 1422], "reorgan": [104, 1422], "quo": 104, "perpetu": [104, 333], "toggl": 104, "backend": [104, 1014, 1331, 1422, 1434], "pkg": 104, "_random_backend": 104, "bullet": [104, 105, 1421], "regard": [104, 105, 106, 1413, 1417, 1421], "mm": 105, "achiev": [105, 302, 303, 309, 310, 382, 514, 1413, 1436], "elong": 105, "solv": [105, 113, 228, 281, 326, 415, 417, 419, 510, 591, 673, 674, 675, 676, 1046, 1306, 1329, 1404, 1422, 1423, 1426, 1430, 1432, 1433], "mainli": [105, 1411], "wouldn": 105, "Its": [105, 211, 375, 547, 1223, 1262, 1391], "technologi": [105, 108, 428], "prior": [105, 111, 654, 1126, 1414], "art": [105, 1232, 1308], "omit": [105, 513, 1061, 1413], "phase": [105, 382, 383, 512, 1241, 1411], "chosen": [105, 234, 235, 273, 368, 379, 452, 694, 696, 712, 713, 714, 715, 716, 717, 719, 720, 1181, 1188, 1189, 1190, 1191, 1192, 1201, 1205, 1210, 1232, 1235, 1237, 1239, 1243, 1244, 1279, 1325], "outreachi": 106, "abstract": [106, 328, 429, 430, 621], "varieti": [106, 777], "elucid": 106, "experiment": [106, 218, 496, 1041, 1215, 1402, 1415, 1434, 1436], "deeper": 106, "outlook": 106, "delv": 106, "topic": [106, 1223], "skill": 106, "medium": 106, "175": [106, 1257], "durat": [106, 1334, 1429], "hasn": 106, "flexibli": 106, "chace": 106, "substanti": [106, 1402, 1415], "headwai": 106, "road": 106, "refin": [106, 144, 216, 425, 440], "hr": 106, "sandia": 106, "lab": [106, 1142], "java": 106, "routin": [106, 117, 181, 345, 357, 561, 562, 579, 762, 873, 916, 954, 998, 1045, 1094, 1332, 1404, 1405, 1413, 1415, 1420, 1421, 1422], "incant": 106, "vf2": [106, 547, 557, 760, 763, 1415, 1416, 1420, 1434], "kpetridis24": 106, "gsoc": [106, 1412], "louvain": [106, 382, 383, 760, 1423, 1430], "2021": [106, 608, 1422, 1423], "asadpour": [106, 113, 228, 1423], "acycl": [106, 345, 384, 393, 456, 457, 459, 460, 461, 462, 464, 465, 466, 467, 468, 470, 471, 577, 620, 621, 680, 760, 793, 1278, 1331, 1404, 1415, 1416, 1423], "assort": [106, 237, 242, 245, 249, 760, 1047, 1331, 1408, 1415, 1422, 1423], "dinitz": [106, 760, 1416, 1423, 1433], "meti": 106, "2015": [106, 211, 221, 354, 382, 425, 427, 429, 621, 672, 673, 674, 675, 676, 677, 1241, 1286, 1404, 1415, 1416], "orkohunt": 106, "cleanup": [107, 1415, 1420, 1422, 1423, 1429, 1434], "contrib": [107, 1421, 1435], "scan": [107, 724], "mention": [107, 316, 332, 470, 1101, 1102, 1104, 1416, 1417], "release_": 107, "release_templ": 107, "banner": [107, 1421, 1424], "rm": [107, 1417, 1421, 1422, 1423, 1425, 1426, 1434], "_templat": 107, "__version__": [107, 1413], "id": [107, 331, 333, 425, 427, 753, 798, 1040, 1042, 1043, 1048, 1208, 1213, 1214, 1245, 1347, 1348, 1350, 1351, 1356, 1361, 1362, 1363, 1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1420, 1421], "sign": [107, 358, 1282, 1288, 1417, 1422], "gpg": 107, "debian": 107, "pin": [107, 1422, 1423, 1434], "badg": [107, 1420, 1422], "readm": [107, 1415, 1416, 1417, 1420, 1421, 1422, 1434], "svg": 107, "queri": [107, 143, 144, 425, 788, 1039, 1073, 1075, 1091, 1332, 1403, 1406, 1409, 1415], "3anetworkx": 107, "pypi": [107, 108, 112, 431, 498, 1408, 1411, 1415, 1420, 1422], "fxd": 107, "sdist": 107, "twine": 107, "unpin": [107, 1422], "restor": [107, 1405, 1415, 1420], "wait": [107, 380], "deploi": [107, 1416, 1422, 1427, 1430], "sync": [107, 1434], "fixm": 107, "eol_bann": 107, "cp": [107, 1208], "reset": [107, 1431, 1434], "mv": 107, "ln": [107, 228], "sfn": 107, "stabl": [107, 108, 213, 1367, 1368, 1423], "dev_bann": 107, "endblock": 107, "bump": [107, 1402, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "frontpag": 107, "webpag": 107, "headach": 107, "edit": [107, 111, 673, 674, 675, 676, 782, 1198, 1232, 1266, 1308, 1415, 1416, 1417, 1421], "_static": 107, "docvers": 107, "googlegroup": 107, "month": [108, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1434], "smaller": [108, 116, 300, 312, 382, 383, 385, 386, 387, 444, 446, 788, 1173, 1174, 1178, 1243, 1244, 1403, 1415], "tricki": [108, 298, 299, 1041], "barrier": 108, "onboard": 108, "attract": [108, 113, 390, 395, 403, 760, 1120, 1415], "pathwai": 108, "grow": [108, 111, 153, 159, 856, 859, 901, 904, 937, 940, 983, 986, 1171, 1181, 1188, 1189, 1190, 1235, 1240, 1329], "leadership": 108, "benefici": 108, "domain": [108, 677, 1199, 1202, 1203, 1204, 1205, 1405], "airspe": 108, "veloc": 108, "asv": 108, "en": [108, 113, 121, 122, 133, 212, 227, 231, 283, 284, 294, 342, 343, 427, 456, 471, 478, 485, 486, 490, 492, 568, 592, 678, 697, 698, 706, 712, 721, 734, 735, 763, 769, 784, 1212, 1225, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1367, 1368], "acceler": 108, "difficulti": [108, 112], "trivial": [108, 217, 250, 412, 415, 429, 464, 469, 1167, 1223], "helper": [108, 126, 680, 762, 1331, 1411, 1415, 1421, 1423, 1425], "geneticist": 108, "neuroscientist": 108, "refactor": [108, 1404, 1413, 1415, 1416, 1421, 1422, 1423, 1432, 1434], "csgraph": 108, "__array_function__": 108, "__array_ufunc__": 108, "dask": 108, "gpu": 108, "cupi": 108, "moment": 108, "gain": [108, 113, 216, 223, 382, 383, 1402], "seamlessli": 108, "exchang": [108, 145, 223, 231, 232, 694, 695, 1347, 1348, 1350, 1389, 1395], "nodes_and_edg": 108, "cull": 110, "thorough": 110, "clarifi": [110, 764, 1416, 1422, 1434], "conceptu": [110, 133, 300, 323], "promot": [110, 111], "educ": [110, 1308], "driven": [110, 1275], "pure": [110, 133, 1041, 1287, 1414], "amaz": 110, "capabl": [110, 763, 782, 1160, 1351, 1354, 1355, 1356, 1390], "pedagogi": 110, "trade": 110, "justifi": 110, "ounc": 110, "alik": 110, "prevent": [110, 510, 576, 1066, 1143, 1421], "slowdown": [110, 1430, 1434], "fold": [110, 314, 1403], "rapid": 111, "multidisciplinari": [111, 464], "fortran": [111, 1105, 1284], "painlessli": 111, "nonstandard": 111, "classic": [111, 344, 364, 1331, 1332, 1404, 1416, 1422], "daniel": [111, 297, 302, 303, 304, 309, 310, 324, 1417, 1418, 1420, 1421, 1423], "proceed": [111, 133, 317, 347, 354, 570, 574, 576, 592, 672, 677, 678, 692, 734, 1174, 1192, 1245], "7th": 111, "scipy2008": 111, "g\u00e4el": 111, "varoquaux": 111, "travi": [111, 1416, 1417, 1420, 1421, 1422], "vaught": 111, "ed": [111, 258, 259, 260, 287, 289, 679, 680, 753, 1088, 1129, 1185, 1199, 1209, 1261, 1266], "pasadena": 111, "pp": [111, 133, 228, 275, 279, 297, 302, 303, 304, 309, 310, 312, 313, 324, 345, 347, 381, 388, 454, 455, 496, 500, 515, 516, 517, 518, 519, 520, 557, 593, 608, 672, 677, 678, 682, 692, 740, 762, 764, 772, 1181, 1184, 1185, 1186, 1199, 1207, 1208, 1209, 1223, 1229, 1231, 1245, 1247, 1274, 1292, 1294, 1298], "aug": 111, "2008": [111, 261, 262, 263, 290, 298, 299, 307, 308, 316, 344, 348, 349, 360, 373, 374, 382, 383, 610, 621, 686, 693, 1171, 1194, 1293, 1402, 1415], "bibtex": 111, "physicist": 111, "biologist": 111, "scientist": 111, "ba02": 111, "newman03": 111, "dorogovtsev": [111, 436, 1159], "mend": [111, 436, 1159], "dm03": 111, "bollobas01": 111, "diestel97": 111, "west01": [111, 472], "theoret": [111, 113, 297, 302, 303, 304, 309, 310, 324, 331, 348, 349, 443, 447, 448, 464, 500, 700, 701, 1436], "terminologi": [111, 133, 649], "sedgewick": [111, 679, 680, 1266], "sedgewick01": 111, "sedgewick02": 111, "brand": [111, 276, 297, 298, 299, 302, 303, 304, 307, 308, 309, 310, 316, 324, 331, 414, 433, 618, 753, 1174, 1236, 1415], "erlebach": [111, 414, 433, 753], "be05": 111, "vibrant": 111, "martelli": 111, "martelli03": 111, "claus": [111, 1302, 1422], "bsd": 111, "copyright": [111, 1416, 1417, 1421, 1434], "2004": [111, 214, 240, 241, 250, 264, 275, 343, 348, 349, 364, 385, 387, 496, 522, 523, 569, 572, 573, 590, 594, 618, 620, 683, 706, 708, 709, 710, 762, 764, 1209], "reserv": [111, 1403], "redistribut": 111, "permit": [111, 171, 868, 913], "met": [111, 673, 675], "notic": [111, 300, 321, 323, 389, 391, 392, 1277, 1329, 1436], "disclaim": 111, "endors": 111, "deriv": [111, 325, 326, 340, 414, 433, 451], "BY": 111, "THE": 111, "holder": 111, "AS": [111, 1208, 1331, 1420], "warranti": 111, "BUT": [111, 750], "TO": 111, "OF": 111, "merchant": 111, "FOR": 111, "IN": 111, "NO": 111, "shall": 111, "owner": 111, "BE": 111, "liabl": 111, "indirect": [111, 678], "incident": 111, "exemplari": 111, "consequenti": 111, "damag": 111, "procur": 111, "substitut": [111, 673, 674, 675, 676], "loss": [111, 1422], "profit": 111, "busi": [111, 220, 381], "interrupt": 111, "caus": [111, 166, 259, 294, 295, 300, 424, 499, 503, 506, 507, 510, 581, 600, 655, 662, 669, 740, 864, 909, 945, 991, 1041, 1150, 1301, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1422], "ON": 111, "liabil": 111, "tort": 111, "neglig": [111, 654, 665], "IF": 111, "SUCH": 111, "74": [111, 387, 457, 1274], "ab": [111, 129, 301, 334, 335, 357, 360, 373, 374, 387, 388, 434, 435, 439, 445, 590, 627, 687, 1175, 1176, 1177, 1191, 1199, 1205, 1275, 1278], "cond": [111, 334, 335, 387, 627, 687, 1159], "mat": [111, 334, 335, 387, 516, 519, 520, 627, 687, 1159, 1223, 1420], "0106096": 111, "bollob\u00e1": [111, 1192, 1241, 1415], "cambridg": [111, 133, 300, 590, 690, 1198], "2001": [111, 215, 216, 217, 220, 221, 222, 285, 298, 299, 307, 308, 328, 331, 483, 484, 487, 488, 489, 557, 679, 680, 700, 701, 764, 1161, 1175, 1183, 1188, 1190, 1198, 1210, 1308, 1416], "methodolog": [111, 414, 433, 753], "3418": [111, 414, 433], "verlag": [111, 297, 302, 303, 304, 309, 310, 324, 414, 433, 481, 1046, 1196, 1325, 1326, 1327], "2005": [111, 113, 276, 291, 297, 302, 303, 304, 309, 310, 324, 334, 335, 347, 358, 360, 378, 414, 433, 439, 686, 687, 721, 735, 753, 1193, 1199, 1236, 1289, 1290, 1415, 1416], "diestel": 111, "1997": [111, 446, 1232, 1292, 1308, 1326, 1327, 1416], "evolut": [111, 1211], "2003": [111, 129, 221, 237, 242, 245, 249, 429, 434, 435, 496, 519, 593, 694, 772, 1174, 1181, 1192, 1202, 1245], "nutshel": 111, "media": [111, 220], "inc": [111, 133, 734, 1223, 1326, 1327], "siam": [111, 279, 316, 332, 345, 407, 408, 454, 455, 502, 516, 517, 520, 595, 1181, 1186, 1192], "167": [111, 239, 1181], "epub": 111, "1137": [111, 279, 454, 455, 496], "s003614450342480": 111, "addison": [111, 466, 468, 679, 680, 762, 1232], "weslei": [111, 466, 468, 679, 680, 762, 1232], "profession": [111, 679, 680], "3rd": [111, 514, 557, 679, 680, 764, 1045, 1266], "prentic": 111, "hall": [111, 516, 520], "2nd": [111, 1045, 1217, 1421], "virtual": [112, 788], "upgrad": [112, 1421, 1423], "newer": [112, 1421], "flag": [112, 1421, 1429], "systemwid": 112, "uninstal": 112, "homepag": [112, 621, 1398, 1422], "lxml": [112, 1364], "xml": [112, 1347, 1348, 1350, 1353, 1361, 1364, 1389, 1391, 1420, 1422, 1436], "shell": [112, 437, 438, 440, 1117, 1146, 1246, 1406, 1415, 1420, 1421, 1436], "prompt": 112, "namespac": [113, 116, 126, 270, 271, 272, 273, 274, 275, 276, 277, 413, 414, 418, 419, 496, 500, 501, 511, 512, 772, 1401, 1404, 1405, 1408, 1411, 1413, 1416, 1421, 1422, 1423], "easiest": [113, 116, 1041, 1332], "function_nam": 113, "metric": [113, 226, 227, 298, 304, 324, 677, 678, 687, 754, 760, 1199, 1200, 1202, 1203, 1204, 1205, 1331, 1415, 1416, 1417, 1422, 1429, 1434], "wikipedia": [113, 121, 122, 133, 212, 213, 227, 231, 283, 284, 294, 342, 343, 427, 456, 471, 478, 485, 486, 490, 492, 590, 592, 678, 697, 698, 706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 734, 763, 769, 784, 1212, 1220, 1225, 1249, 1250, 1251, 1252, 1254, 1255, 1256, 1257, 1262, 1263, 1264, 1265, 1267, 1268, 1269, 1270, 1277, 1329], "greedi": [113, 223, 230, 231, 232, 233, 332, 364, 368, 385, 386, 724, 1404, 1416], "simul": [113, 230, 231, 232, 333, 694, 1120], "anneal": [113, 230, 231, 232], "sa": 113, "ta": 113, "travelling_salesman_problem": 113, "bag": 113, "minu": [113, 342, 585, 1154], "notion": [113, 126, 129, 261, 262, 263, 290, 793], "partli": 113, "intract": 113, "solvabl": [113, 115], "constant": [113, 499, 503, 506, 507, 510, 677, 1181, 1201, 1221], "treewidth_min_degre": 113, "treewidth_min_fill_in": 113, "han": [113, 360, 1187, 1245, 1421, 1422], "bodlaend": 113, "ari": [113, 1151, 1161, 1406, 1415], "koster": 113, "2010": [113, 242, 245, 312, 313, 325, 326, 363, 381, 695, 1177, 1208, 1275, 1403, 1415, 1416], "inf": [113, 275, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 631, 755, 1420, 1422], "march": [113, 1292, 1415, 1424], "275": 113, "dx": [113, 258, 259, 260, 298, 1241], "ic": [113, 469, 706, 708, 709, 710, 712, 736, 738], "2009": [113, 133, 218, 301, 575, 595, 618, 626, 731, 733, 1207, 1228, 1277, 1329, 1403, 1416], "discov": [113, 294, 347, 387, 1041, 1387, 1402], "utrecht": 113, "uu": [113, 335, 1185], "018": [113, 762], "nl": [113, 478, 1256, 1265], "wang": [113, 425, 427, 515, 731, 733, 1184, 1186, 1421], "lu": [113, 297, 302, 303, 304, 309, 310, 324, 522, 523, 575, 1185, 1281, 1282, 1283, 1422], "hick": [113, 354], "20210507025929": 113, "eec": 113, "utk": 113, "cphill25": 113, "cs594_spring2015_project": 113, "v_j": [115, 283, 334], "v_k": 115, "v_i": 115, "AT": [115, 250, 251, 1420], "polynomi": [115, 265, 442, 620, 621, 760, 764, 1277, 1329, 1331, 1425, 1429, 1434], "amongst": 115, "opposit": [116, 178, 260, 617, 764, 965, 1005, 1180, 1259, 1293], "literatur": [116, 470, 618, 734, 764, 1387], "analogi": 116, "is_connect": [116, 396, 398, 399, 400, 1415], "bottom_nod": 116, "top_nod": [116, 257, 278, 279, 280, 281, 282], "refus": [116, 1046], "temptat": [116, 1046], "guess": [116, 1044, 1046], "ambiguoussolut": [116, 257, 278, 279, 282, 1046, 1331], "rb": [116, 268, 1339, 1343, 1344, 1377, 1414], "random_graph": 116, "rb_top": 116, "rb_bottom": 116, "maximum_match": [116, 279, 282], "complete_bipartite_graph": [116, 253, 254, 282, 286, 590, 1157, 1436], "minimum_weight_full_match": 116, "whose": [116, 117, 145, 219, 220, 227, 230, 236, 282, 292, 293, 294, 295, 296, 312, 348, 352, 353, 354, 377, 382, 389, 462, 492, 503, 586, 587, 589, 621, 694, 730, 741, 1058, 1080, 1200, 1212, 1219, 1255, 1260, 1275, 1278, 1279, 1284, 1285, 1305, 1307, 1316, 1356, 1420], "mode": [116, 261, 262, 263, 268, 269, 290, 1306, 1339, 1340, 1343, 1344, 1345, 1346, 1377, 1378, 1436], "bipart": [116, 291], "outsid": [117, 311, 1413, 1415, 1422], "chord": [121, 343, 345, 1196, 1214, 1221], "chordal_graph": [121, 343], "clique_problem": 122, "character": [123, 314, 784], "triangl": [123, 214, 228, 296, 358, 359, 360, 361, 439, 551, 552, 760, 1101, 1104, 1221, 1225, 1228, 1240, 1249, 1253, 1258, 1269, 1329, 1332, 1415, 1421], "greedy_color": [124, 760, 1404, 1415, 1420], "communities_gener": 126, "girvan_newman": 126, "top_level_commun": 126, "next_level_commun": 126, "kernighan": [126, 379, 1422], "lin": [126, 379, 1416, 1422], "luke": [126, 384, 1421], "asynchron": [126, 375, 380, 381, 1416, 1423], "edge_kcompon": [128, 426], "determen": 128, "maxim": [128, 210, 221, 222, 223, 316, 317, 332, 341, 348, 349, 350, 351, 352, 353, 355, 356, 368, 372, 382, 385, 386, 391, 392, 424, 427, 428, 429, 434, 435, 439, 519, 551, 581, 583, 584, 585, 591, 684, 693, 734, 760, 1046, 1207, 1329, 1331, 1407, 1415, 1416, 1422, 1423], "moodi": [128, 221, 429, 1404], "kanevski": [128, 429, 430, 1404], "recurs": [129, 142, 225, 348, 349, 354, 389, 391, 392, 396, 408, 454, 462, 532, 542, 699, 730, 732, 762, 1048, 1049, 1064, 1085, 1153, 1302, 1387, 1415, 1421, 1422], "prune": [129, 762, 1242], "vladimir": [129, 276, 434, 435, 496, 590, 751, 1236], "batagelj": [129, 276, 434, 435, 590, 751, 1236], "matjaz": [129, 434, 435], "zaversnik": [129, 434, 435], "0310049": [129, 434, 435], "0202039": 129, "degeneraci": 129, "christo": 129, "giatsidi": 129, "thiliko": 129, "michali": 129, "vazirgianni": 129, "icdm": 129, "2011": [129, 333, 379, 385, 387, 443, 447, 448, 513, 514, 521, 621, 684, 1185, 1406, 1407, 1408, 1415, 1416], "graphdegeneraci": 129, "dcores_icdm_2011": 129, "anomali": [129, 440], "onion": [129, 440, 1420], "h\u00e9bert": [129, 440], "dufresn": [129, 440], "grochow": [129, 440], "allard": [129, 440, 1420], "31708": [129, 440], "2016": [129, 339, 354, 387, 440, 478, 692, 1203, 1257, 1405, 1415], "1038": [129, 339, 378, 382, 440, 571], "srep31708": [129, 440], "factor": [133, 227, 294, 295, 300, 301, 325, 326, 372, 464, 499, 503, 506, 507, 510, 515, 567, 594, 626, 678, 699, 1109, 1110, 1111, 1112, 1113, 1117, 1118, 1119, 1120, 1151, 1161, 1184, 1186, 1281, 1282, 1283], "graphic": [133, 456, 519, 520, 695, 760, 1181, 1183, 1186, 1187, 1228, 1331, 1391, 1407, 1410, 1415], "overview": [133, 478, 1041, 1302], "collid": [133, 456], "triplet": [133, 747], "successor": [133, 160, 175, 182, 192, 201, 241, 283, 389, 391, 392, 396, 503, 689, 709, 717, 860, 874, 882, 890, 905, 941, 955, 964, 972, 987, 1058, 1189, 1190, 1195, 1332, 1413, 1416, 1425, 1436], "descend": [133, 456, 458, 467, 711, 760, 1278, 1410, 1413, 1415, 1422, 1423, 1434], "unblock": 133, "commonli": [133, 281, 456, 686, 784], "probabilist": [133, 380], "causal": 133, "markov": [133, 464, 567, 694, 1194], "hmm": 133, "s1": [133, 1248, 1319, 1369], "s2": [133, 1248, 1319], "s3": [133, 1319], "s4": 133, "s5": 133, "o1": 133, "o2": 133, "o3": 133, "o4": 133, "o5": 133, "ob": 133, "d_separ": [133, 760, 1421], "darwich": 133, "shachter": 133, "1998": [133, 1149, 1150, 1231, 1247, 1416], "bay": 133, "ball": 133, "ration": 133, "pastim": 133, "irrelev": [133, 1416], "requisit": 133, "influenc": [133, 325, 326, 514, 788], "fourteenth": [133, 1192], "uncertainti": [133, 592, 734], "artifici": [133, 576, 592, 734], "480": [133, 428, 516, 520, 1407, 1415], "487": 133, "francisco": [133, 734], "morgan": [133, 734], "kaufmann": [133, 734], "koller": 133, "friedman": 133, "mit": [133, 344, 521, 620], "causal_markov_condit": 133, "ness": [134, 686, 784], "classmethod": [142, 1050], "auxiliari": [142, 143, 144, 221, 413, 414, 415, 417, 418, 419, 420, 421, 425, 432, 433, 1411], "sink": [142, 303, 310, 418, 420, 496, 497, 500, 501, 503, 504, 505, 508, 509, 511, 512, 567], "pick": [142, 218, 333, 659, 1194, 1213, 1216, 1416], "st": [142, 417, 419], "cut": [142, 223, 224, 294, 379, 384, 389, 391, 392, 396, 413, 414, 416, 417, 418, 419, 421, 429, 430, 431, 444, 445, 446, 447, 449, 496, 497, 500, 501, 502, 504, 505, 508, 509, 511, 512, 621, 760, 762, 1041, 1069, 1118, 1268, 1331, 1404, 1411, 1415, 1422], "auxgraph": [144, 425], "node_partit": 145, "permut": [145, 370, 454, 455, 457, 468, 750, 1291, 1326, 1327], "frozenset": [145, 268, 341, 385, 588, 590, 754, 1171, 1339, 1343, 1344, 1421], "abc": [145, 547, 1160, 1212, 1309, 1421, 1422], "interchang": [145, 364], "bool": [146, 147, 149, 150, 166, 169, 172, 177, 185, 190, 197, 205, 209, 233, 238, 239, 243, 244, 246, 250, 251, 259, 266, 267, 268, 269, 273, 276, 287, 288, 289, 292, 295, 296, 297, 298, 299, 300, 302, 303, 306, 307, 308, 309, 310, 311, 315, 316, 323, 325, 326, 327, 328, 329, 332, 345, 352, 357, 364, 395, 396, 397, 398, 399, 400, 441, 456, 464, 465, 469, 481, 482, 490, 491, 493, 496, 500, 501, 511, 512, 515, 516, 517, 518, 519, 520, 522, 523, 524, 547, 564, 566, 580, 581, 582, 583, 590, 615, 616, 618, 619, 624, 625, 627, 642, 654, 665, 675, 681, 687, 692, 698, 700, 701, 702, 706, 710, 721, 725, 726, 727, 728, 730, 732, 735, 736, 737, 738, 739, 740, 742, 743, 744, 745, 864, 867, 869, 872, 875, 880, 887, 893, 909, 912, 914, 918, 929, 933, 945, 948, 950, 953, 957, 962, 969, 975, 979, 991, 994, 996, 1001, 1042, 1043, 1048, 1060, 1071, 1073, 1074, 1075, 1087, 1094, 1100, 1119, 1127, 1129, 1139, 1140, 1141, 1142, 1175, 1185, 1191, 1195, 1215, 1217, 1218, 1219, 1221, 1230, 1234, 1236, 1237, 1238, 1281, 1282, 1283, 1284, 1285, 1288, 1301, 1302, 1313, 1315, 1318, 1341, 1342, 1343, 1345, 1347, 1348, 1350, 1359, 1360, 1361, 1362, 1363, 1364, 1366, 1370, 1385, 1386, 1387, 1388], "account": [146, 149, 400, 450, 751, 763, 1276, 1402, 1422], "graph_nod": [146, 149], "subgraph_nod": [146, 149], "find_isomorph": [148, 151], "induc": [149, 168, 200, 212, 227, 344, 390, 394, 408, 429, 438, 439, 472, 489, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 514, 588, 591, 754, 763, 764, 866, 889, 911, 927, 947, 971, 993, 1010, 1041, 1064, 1069, 1090, 1105, 1106, 1108, 1195, 1289, 1290, 1402], "u_of_edg": [152, 855, 900], "v_of_edg": [152, 855, 900], "capac": [152, 266, 297, 302, 303, 304, 309, 310, 324, 413, 414, 417, 418, 419, 420, 421, 432, 433, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 760, 855, 900, 936, 982, 1341, 1411], "342": [152, 855, 900, 936, 982, 1261], "ebunch_to_add": [153, 159, 856, 859, 901, 904, 937, 940, 983, 986], "add_weighted_edges_from": [153, 230, 231, 232, 327, 510, 583, 632, 659, 661, 723, 856, 901, 937, 983, 1073, 1332, 1413, 1416, 1436], "runtimeerror": [153, 158, 159, 196, 466, 467, 468, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008], "happen": [153, 158, 159, 196, 382, 586, 856, 858, 859, 886, 901, 903, 904, 925, 937, 939, 940, 968, 983, 985, 986, 1008, 1412, 1413, 1434], "iterator_of_edg": [153, 159, 856, 859, 901, 904, 937, 940, 983, 986], "wn2898": [153, 856, 901, 937, 983], "wrong": [153, 158, 159, 724, 856, 858, 859, 901, 903, 904, 937, 939, 940, 983, 985, 986, 1415, 1420, 1425, 1434], "start_nod": [154, 155, 156], "end_nod": [154, 155, 156], "reference_neighbor": [154, 155], "half": [154, 155, 156, 165, 178, 184, 207, 298, 299, 617, 655], "clockwis": [154, 155, 170, 183, 198, 617], "networkxexcept": [154, 155, 162, 333, 590, 595, 726, 728, 1046, 1113, 1144, 1186, 1331], "add_half_edge_cw": [154, 156, 165, 617], "connect_compon": [154, 155, 156, 617], "add_half_edge_first": [154, 155, 165, 617], "add_half_edge_ccw": [155, 156, 165, 617], "node_for_ad": [157, 857, 902, 938, 984], "mutabl": [157, 857, 902, 938, 984, 1064, 1069, 1085, 1088, 1089], "hash": [157, 513, 514, 760, 857, 902, 938, 984, 1330, 1331, 1423, 1436], "hello": [157, 158, 857, 858, 902, 903, 938, 939, 984, 985, 1309], "k3": [157, 158, 857, 858, 902, 903, 938, 939, 984, 985, 1223], "utm": [157, 857, 902, 938, 984], "382871": [157, 857, 902, 938, 984], "3972649": [157, 857, 902, 938, 984], "nodes_for_ad": [158, 858, 903, 939, 985], "iterator_of_nod": [158, 196, 858, 886, 903, 925, 939, 968, 985, 1008], "datadict": [160, 191, 201, 208, 736, 738, 860, 881, 890, 894, 905, 930, 941, 963, 972, 976, 1013, 1087, 1318, 1332], "foovalu": [160, 191, 201, 860, 881, 890, 905, 941, 972], "nbrdict": [161, 861, 906, 942, 988, 1022, 1097], "fulfil": [162, 617], "cw": [162, 617], "ccw": [162, 617], "planar": [162, 616, 618, 619, 760, 1113, 1144, 1249, 1252, 1253, 1255, 1331, 1418, 1419], "first_nbr": [162, 617], "invalid": [162, 617, 1422], "alter": [164, 863, 908, 944, 990], "afterward": 165, "as_view": [166, 203, 205, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1092, 1093], "shallow": [166, 203, 205, 285, 286, 287, 288, 289, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1403], "deepcopi": [166, 203, 205, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1418], "__class__": [166, 200, 864, 889, 909, 927, 945, 971, 991, 1010, 1413, 1416, 1418, 1419, 1420], "fresh": [166, 864, 909, 945, 991, 1413], "inspir": [166, 231, 232, 344, 683, 864, 909, 945, 991, 1232, 1329, 1413], "deep": [166, 203, 205, 864, 892, 893, 909, 928, 929, 945, 974, 975, 991, 1011, 1012, 1271, 1403], "degreeview": [167, 865, 910, 946, 952, 992, 1413, 1436], "didegreeview": [167, 865], "outedgeview": [169, 190, 469, 470, 615, 749, 752, 867, 880, 1038, 1086, 1413, 1427], "ddict": [169, 177, 185, 190, 867, 872, 875, 880, 912, 918, 948, 953, 957, 962, 994, 1001], "in_edg": [169, 190, 867, 880, 948, 962, 1413, 1415, 1416], "out_edg": [169, 867, 948, 1065, 1413, 1415, 1416, 1436], "quietli": [169, 190, 867, 880, 912, 948, 962, 994, 1090, 1436], "outedgedataview": [169, 190, 867, 880, 1413, 1420], "set_data": 170, "edge_dict": [171, 868, 913, 949, 995], "safe": [171, 868, 913, 1413, 1421], "edge_ind": [172, 869, 914, 950, 996], "data_dictionari": [172, 869, 914], "simpler": [173, 185, 870, 875, 915, 918, 951, 957, 997, 1001, 1415, 1416, 1426], "indegreeview": [176, 871, 1413], "deg": [176, 189, 244, 260, 358, 363, 687, 871, 879, 952, 961, 1171, 1185, 1228, 1413], "inedgeview": [177, 872, 1413], "inedgedataview": [177, 872], "silent": [181, 194, 196, 321, 873, 884, 886, 916, 923, 925, 954, 966, 968, 998, 1006, 1008, 1088, 1089, 1133, 1359, 1360, 1365, 1369, 1415, 1422], "niter": [181, 683, 684, 685, 686, 853, 873, 898, 916, 934, 954, 980, 998, 1423], "__iter__": [181, 873, 916, 954, 998, 1309], "nodedata": [185, 875, 918, 957, 1001], "5pm": [185, 798, 875, 918, 957, 1001, 1040, 1042, 1043, 1403, 1436], "Not": [185, 381, 434, 435, 436, 437, 438, 439, 440, 478, 875, 918, 957, 1001, 1120, 1222], "nedg": [186, 590, 876, 919, 958, 1002], "__len__": [187, 188, 877, 878, 920, 921, 959, 960, 1003, 1004], "outdegreeview": [189, 879], "Will": [194, 364, 607, 609, 612, 884, 923, 966, 1006, 1413, 1423], "get_data": [198, 618], "inplac": [200, 692, 889, 927, 971, 1010, 1069, 1402], "reduct": [200, 471, 620, 788, 889, 927, 971, 1010, 1069, 1326, 1327, 1422, 1423], "sg": [200, 889, 927, 971, 1010], "largest_wcc": [200, 889, 927, 971, 1010], "is_multigraph": [200, 760, 889, 927, 971, 1010, 1160, 1421], "keydict": [200, 208, 889, 894, 927, 930, 971, 976, 1010, 1013, 1042, 1043], "contrast": [203, 205, 302, 303, 309, 310, 892, 893, 928, 929, 974, 975, 1011, 1012, 1069, 1239, 1247, 1436], "reciproc": [205, 300, 321, 323, 358, 413, 432, 449, 478, 622, 760, 893, 975, 1331, 1425, 1434], "mark_half_edg": 207, "li": [207, 621, 672, 677, 687, 777, 1213, 1216, 1434], "straightforward": [208, 894, 930, 976, 1013], "slightli": [208, 328, 439, 522, 523, 583, 894, 930, 976, 1013, 1171, 1332, 1413, 1416, 1421, 1423, 1434], "singleton": [208, 358, 590, 894, 930, 976, 1013, 1224, 1257, 1416], "preserve_attr": [209, 725, 726, 727, 728], "optimum": [209, 232, 585, 722, 724, 793, 1404, 1415], "arboresc": [209, 462, 721, 722, 724, 726, 728, 742, 745, 760, 1278, 1404, 1415], "span": [209, 227, 228, 229, 296, 510, 620, 621, 626, 721, 722, 724, 726, 728, 734, 735, 736, 737, 738, 739, 740, 760, 1403, 1406, 1415, 1416, 1429], "max_ind_cliqu": 210, "networkxnotimpl": [210, 211, 212, 213, 221, 225, 228, 294, 295, 296, 319, 320, 322, 330, 345, 381, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 405, 406, 407, 408, 409, 424, 426, 427, 428, 429, 431, 457, 459, 460, 461, 462, 470, 483, 484, 502, 591, 592, 610, 682, 734, 1046, 1222, 1281, 1282, 1304, 1331, 1359, 1360, 1385, 1416, 1417], "boppana": [210, 212, 213], "halld\u00f3rsson": [210, 212, 213], "1992": [210, 212, 213, 519, 520, 1416], "exclud": [210, 212, 213, 216, 217, 262, 263, 455, 690, 721, 725, 726, 727, 728, 735, 753, 1039, 1041, 1091, 1223, 1421], "180": [210, 212, 213, 239, 1434], "196": [210, 212, 213], "heurist": [211, 221, 229, 234, 235, 379, 382, 383, 429, 496, 511, 628, 629, 654, 665, 705, 760, 1179, 1326, 1327, 1331, 1404, 1417, 1421, 1422], "max_cliqu": 211, "rigor": 211, "pattabiraman": 211, "bharath": 211, "massiv": [211, 218], "421": 211, "448": 211, "1080": [211, 298, 299, 307, 308, 331], "15427951": 211, "986778": 211, "apx": [212, 213], "subseteq": [212, 281, 290, 620, 677], "omega": [212, 760, 784, 1423], "maximum_cliqu": 212, "1007": [212, 227, 297, 302, 303, 304, 309, 310, 324, 325, 326, 343, 433, 453, 500, 576, 1150, 1187], "bf01994876": 212, "iset": 213, "trial": [214, 231, 232, 1201, 1243, 1244], "estim": [214, 225, 298, 307, 314, 566, 627, 628, 629, 784, 1286, 1416], "coeffici": [214, 249, 261, 262, 263, 264, 290, 357, 358, 360, 572, 620, 621, 627, 684, 686, 780, 784, 1406, 1407, 1408, 1415, 1422], "fraction": [214, 258, 260, 287, 290, 298, 300, 305, 307, 316, 318, 319, 320, 322, 323, 328, 330, 332, 358, 360, 361, 521, 1127, 1129, 1171, 1240], "schank": 214, "thoma": [214, 753, 1416, 1418, 1422], "dorothea": [214, 1174], "wagner": [214, 431, 760, 1174, 1411, 1415], "universit\u00e4t": 214, "karlsruh": 214, "fakult\u00e4t": 214, "f\u00fcr": 214, "informatik": [214, 414], "5445": 214, "ir": [214, 608], "1000001239": 214, "erdos_renyi_graph": [214, 1230, 1238, 1332, 1415, 1436], "cutoff": [215, 216, 311, 328, 385, 412, 413, 414, 420, 421, 496, 497, 500, 501, 512, 639, 640, 642, 643, 644, 645, 646, 649, 650, 651, 658, 662, 663, 664, 669, 670, 671, 679, 680, 1240, 1407, 1411, 1415, 1422, 1425, 1433, 1434], "distinct": [215, 216, 256, 282, 289, 354, 393, 454, 455, 462, 580, 597, 610, 620, 702, 703, 736, 737, 738, 739, 791, 1156, 1250, 1277, 1329, 1332, 1334, 1404, 1426], "nonadjac": [215, 216, 482, 586, 587, 589], "cutset": [215, 216, 416, 417, 418, 419, 429, 430, 502, 508, 760], "menger": [215, 216, 217], "theorem": [215, 216, 217, 221, 236, 282, 312, 313, 323, 413, 508, 509, 516, 519, 520, 620, 1196, 1211], "local_node_connect": [215, 217, 410, 411, 412, 413, 415], "node_connect": [215, 216, 411, 412, 413, 414, 416, 417, 418, 419, 421, 429, 430, 1411], "dougla": [215, 216, 217, 221, 1422, 1434], "035": [215, 216, 217, 221], "eclect": [215, 216, 217], "ss": [215, 216, 217], "uci": [215, 216, 217, 469, 706, 708, 709, 710, 712, 736, 738], "drwhite": [215, 216, 217], "pprint": [215, 348, 579, 713], "all_pairs_node_connect": [216, 217, 1411, 1433], "bf": [216, 217, 218, 365, 590, 706, 708, 709, 710, 719, 1406, 1410, 1415, 1418, 1421, 1422, 1434], "lose": [216, 798, 1040, 1042, 1043], "accuraci": [216, 313, 788], "platon": [216, 217, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1251, 1254, 1260, 1263, 1267, 1269], "octahedr": [216, 217, 1263], "octahedral_graph": [216, 217], "vari": [218, 239, 244, 375, 380, 571, 697], "sweep": [218, 1421], "dsweep": 218, "a_1": [218, 479, 1127, 1128, 1129], "a_2": 218, "magnien": [218, 261, 262, 263, 290], "cl\u00e9menc": [218, 261, 262, 263, 290], "matthieu": [218, 261, 262, 263, 275, 290], "latapi": [218, 261, 262, 263, 275, 290], "michel": 218, "habib": 218, "empir": 218, "tight": 218, "jea": 218, "0904": 218, "2728": 218, "crescenzi": 218, "pierluigi": 218, "roberto": 218, "grossi": 218, "leonardo": 218, "lanzi": 218, "andrea": [218, 1171, 1422], "marino": 218, "symposium": [218, 621, 1192, 1201, 1245], "berlin": [218, 522, 523, 1422], "heidelberg": [218, 522, 523], "ut": 218, "ee": [218, 314], "mtat": 218, "238": 218, "2014_fall": 218, "domin": [219, 220, 312, 412, 416, 483, 484, 485, 486, 760, 1331, 1404, 1409, 1415, 1416], "opt": [219, 222, 1434], "min_weight_dominating_set": 220, "vazirani": [220, 222], "vijai": [220, 222, 519], "min_dens": 221, "95": [221, 327, 592, 1289, 1290, 1390], "nest": [221, 429, 730, 732, 793, 1041, 1048, 1064, 1097, 1302, 1314, 1354, 1361, 1362, 1363, 1364, 1391, 1415], "forth": [221, 429], "relax": [221, 228, 1177, 1422], "narrow": [221, 1171], "whitnei": 221, "bicompon": [221, 389, 391, 392, 396], "ferraro": [221, 429], "cohes": [221, 429, 439], "1503": [221, 429], "04476v1": [221, 429], "santaf": 221, "ind": 221, "embedded": [221, 306, 429], "sociolog": [221, 429, 750], "103": [221, 429, 1228, 1294, 1298], "2307": [221, 298, 1261], "3088904": 221, "petersen": [221, 429, 763, 1257, 1262, 1265], "triconnect": [221, 429], "apxa": 221, "petersen_graph": [221, 382, 429, 494, 763, 1122, 1123, 1436], "fo": 222, "initial_cut": 223, "highest": [223, 270, 274, 277, 339, 359, 376, 389, 391, 392, 396, 430, 511, 690, 705, 1186], "suppli": [223, 257, 278, 279, 281, 282, 596, 1203, 1326, 1327, 1332, 1351, 1354, 1355, 1356, 1390, 1417, 1422], "cut_valu": [223, 431, 502, 508, 509, 1411], "probabl": [224, 228, 231, 232, 237, 238, 239, 242, 243, 244, 246, 275, 276, 297, 327, 360, 454, 470, 595, 677, 740, 760, 798, 1040, 1042, 1043, 1174, 1175, 1176, 1177, 1179, 1181, 1185, 1188, 1190, 1191, 1192, 1193, 1194, 1199, 1201, 1202, 1203, 1204, 1205, 1209, 1211, 1230, 1231, 1233, 1234, 1235, 1236, 1238, 1239, 1240, 1241, 1242, 1245, 1247, 1284, 1285, 1289, 1290, 1325, 1412, 1413, 1415, 1423, 1426, 1436], "cut_siz": [224, 444, 449, 450, 760], "ramsei": [225, 760], "max_pair": 225, "closur": [226, 227, 469, 470, 1039, 1091, 1404, 1415, 1417, 1420], "terminal_nod": 227, "steiner": [227, 760, 1417, 1434], "leaf": [227, 357, 462, 467, 680, 1161, 1242, 1278], "across": [227, 249, 627, 1041, 1103, 1332, 1414], "kou": 227, "mehlhorn": [227, 513, 514, 1434], "proce": [227, 232, 233, 375, 380, 520, 1171], "steiner_tree_problem": 227, "markowski": 227, "berman": 227, "1981": [227, 1170, 1329], "acta": [227, 510], "informatica": [227, 510], "bf00288961": 227, "kurt": [227, 513, 514], "1988": [227, 1205, 1416], "0020": [227, 457, 1222], "0190": [227, 457, 1222], "88": [227, 515, 1184, 1186], "90066": 227, "held": [228, 1108], "karp": [228, 278, 279, 281, 501, 760, 1175, 1404, 1411, 1415], "entropi": 228, "scheme": [228, 339, 721, 735, 1402], "lceil": 228, "rceil": 228, "augment": [228, 424, 498, 512, 583, 760, 1417], "tour": [228, 490, 492], "pari": 228, "inequ": [228, 1289, 1290], "trip": [228, 230, 231, 232], "goeman": 228, "madri": 228, "gharan": 228, "saberi": [228, 1187], "1043": 228, "1061": 228, "set_edge_attribut": [228, 376, 502, 600, 628, 1411, 1413, 1416], "minimum_spanning_tre": [229, 1415, 1416], "hamiltonian": [229, 233, 699, 1248, 1250, 1255, 1256, 1260, 1264, 1270], "nico": 229, "rr": 229, "388": [229, 301], "carnegi": 229, "mellon": 229, "univ": 229, "pa": 229, "1976": [229, 455, 518, 1416], "essenc": 230, "feasibl": [230, 424, 496, 498, 500, 501, 504, 505, 506, 507, 510, 511, 512, 533, 536, 543, 546, 764, 1046], "init_cycl": [231, 232, 1422], "temp": [231, 233, 1101], "max_iter": [231, 232, 678], "n_inner": [231, 232], "suboptim": [231, 232, 583], "perturb": [231, 232], "wors": [231, 232, 302, 303, 309, 310, 496], "escap": [231, 232, 1416, 1422], "decreas": [231, 232, 334, 335, 339, 369, 385, 610, 675, 694, 705, 721, 735, 1119, 1181, 1183, 1228, 1240, 1300], "temperatur": [231, 1120], "steel": 231, "harden": 231, "cool": 231, "goe": 231, "greedy_tsp": [231, 232, 233, 1422], "threshold_accepting_tsp": [231, 233, 1422], "transpos": [231, 232, 283], "swap_two_nod": [231, 232], "transposit": [231, 232], "move_one_nod": [231, 232], "enact": [231, 232], "declar": [231, 232], "outer": [231, 232, 382, 438, 608, 617, 798, 1015, 1016, 1021, 1022, 1023, 1024, 1025, 1040, 1042, 1043, 1089, 1166, 1332], "percentag": [231, 232, 1275], "metaheurist": [231, 232], "characterist": [231, 232, 684, 777, 1434], "thoughtfulli": [231, 232], "exp": [231, 1203, 1205], "n_i": 231, "n_o": 231, "simulated_ann": 231, "incycl": [231, 232], "amount": [232, 498, 506, 507, 510, 678, 788, 1045, 1302, 1433], "minima": 232, "slowli": 232, "simulated_annealing_tsp": [232, 233, 1422], "unchang": [232, 1115, 1302], "presenc": [232, 654, 660, 1434], "0021": 232, "9991": 232, "90": [232, 275, 327, 334, 335, 1045, 1292], "90201": 232, "asadpour_atsp": [233, 1423], "biggest": 233, "callabl": [233, 527, 537, 547, 554, 555, 556, 557, 673, 674, 675, 676, 798, 1039, 1040, 1042, 1043, 1048, 1049, 1050, 1091, 1105, 1302, 1351, 1354, 1355, 1356, 1388, 1415, 1422, 1423, 1434], "tsp": [233, 1422], "curri": 233, "sa_tsp": 233, "wt": [233, 1436], "treewidth": [234, 235, 342, 344, 760, 1431], "lowest": [234, 270, 277, 577, 578, 579, 760, 936, 982, 1042, 1043, 1301, 1331, 1431], "decompos": [234, 235], "neighbourhood": [235, 513, 514], "leq": [236, 323, 519], "min_weighted_cov": 236, "greedili": [236, 265, 354, 364, 442, 584, 724], "yehuda": 236, "annal": [236, 1203, 1289, 1290], "technion": 236, "il": [236, 328, 1271], "reuven": 236, "vc_lr": 236, "eq": [237, 242, 249, 333, 554, 555, 556, 595], "ref": [237, 242, 249, 595, 1045, 1423], "joint": [237, 238, 239, 242, 243, 244, 246, 1213, 1214, 1215, 1216, 1228, 1331, 1420], "026126": [237, 242, 245, 249], "uns": 238, "occurr": [238, 239, 243, 244, 246, 519, 751], "unnorm": [239, 1118], "denser": [239, 429, 430, 502], "height": [239, 741, 1109, 1151, 1221], "79155222": 239, "163": [239, 298, 299, 307, 308, 331, 455, 754, 1170, 1329], "9080892": 239, "30095355": 239, "99016217": 239, "168": [239, 1223], "21590163": 239, "male": 239, "femal": 239, "mix_mat": [239, 244], "analog": [240, 241, 673, 676, 793, 1223, 1332], "k_": [240, 241, 271, 382, 620, 1152, 1248], "nn": [240, 241], "frac": [240, 241, 258, 259, 260, 261, 262, 263, 264, 285, 287, 290, 298, 299, 300, 301, 307, 308, 316, 317, 321, 323, 325, 326, 327, 332, 338, 357, 358, 360, 361, 382, 387, 411, 519, 520, 569, 571, 572, 574, 575, 627, 635, 690, 1063, 1185, 1325], "s_i": [240, 241, 336, 338], "sum_": [240, 241, 261, 262, 263, 281, 298, 299, 300, 301, 307, 308, 314, 316, 317, 321, 323, 325, 326, 327, 332, 334, 338, 357, 358, 360, 373, 387, 411, 472, 519, 569, 570, 574, 575, 620, 621, 635, 689, 690, 691, 1185], "w_": [240, 241, 285, 287, 358, 1185], "ij": [240, 241, 325, 326, 338, 387, 1293, 1294], "k_j": [240, 241, 1293, 1294], "average_neighbor_degre": [240, 1408, 1425], "barrat": [240, 241], "barth\u00e9lemi": [240, 241], "pastor": [240, 241], "satorra": [240, 241], "vespignani": [240, 241], "architectur": [240, 241, 1041], "pna": [240, 241, 242, 245, 336, 337, 437, 438], "3747": [240, 241, 1421], "3752": [240, 241, 1421], "average_degree_connect": [241, 1408], "1666666666666667": 241, "attribute_assortativity_coeffici": 242, "numeric_assortativity_coeffici": 242, "degree_mixing_dict": 242, "degree_mixing_matrix": [242, 1422], "foster": [242, 245], "grassberg": [242, 245], "paczuski": [242, 245], "107": [242, 245, 1207], "10815": [242, 245], "1f": [242, 245], "max_degre": [244, 1171], "degree_assortativity_coeffici": [245, 1423], "pearsonr": 245, "pearson": [245, 249, 1308], "correl": [245, 249, 358, 1407, 1415], "asteroid": [250, 251, 760, 1331, 1420], "overlin": 250, "certif": [250, 618], "ekkehard": 250, "k\u00f6hler": 250, "439": 250, "sciencedirect": [250, 411, 620], "pii": [250, 411, 620], "s157086670400019x": 250, "find_asteroidal_tripl": [251, 760], "biparit": 252, "degx": 253, "degi": 253, "is_bipartite_node_set": [255, 285, 286, 287, 288, 289, 1426], "incorrect": [256, 289, 1407, 1415, 1420, 1425, 1426, 1434], "2t": [258, 690], "div": [258, 1423], "mod": [258, 588, 1154, 1168, 1198, 1248, 1257, 1423], "2r": [258, 1168], "2p": 258, "is_bipartit": [258, 259, 260, 285, 286, 287, 288, 289, 1415], "halgin": [258, 259, 260, 287, 289], "carrington": [258, 259, 260, 287, 289], "sage": [258, 259, 260, 287, 289, 459, 1404], "handbook": [258, 259, 260, 287, 289], "4135": [258, 259, 260], "9781446294413": [258, 259, 260], "n28": [258, 259, 260], "c_": [259, 262, 263, 300, 317], "d_": [260, 317, 1228], "c_v": [261, 357], "c_x": 261, "pariwis": [261, 262, 263], "nathali": [261, 262, 263, 290], "del": [261, 262, 263, 290, 798, 1040, 1042, 1043], "vecchio": [261, 262, 263, 290], "biparti": [262, 263], "c_u": [262, 263, 358], "uv": [262, 263, 323, 358, 360, 374, 571, 691, 1185], "cap": [262, 263, 287, 569, 570, 571, 572, 574, 575, 1045], "cup": [262, 263, 287, 323, 572, 621], "robins_alexander_clust": [262, 263], "average_clust": [262, 263, 760, 1408, 1422], "square_clust": [262, 263, 264, 760, 1422], "robin": [264, 1149, 1150], "alexand": [264, 1416, 1418, 1420], "c_4": [264, 360, 587, 589], "l_3": 264, "cc_4": 264, "latapy_clust": 264, "interlock": 264, "director": 264, "organ": [264, 440, 521, 1188, 1190, 1261, 1332, 1421], "94": [264, 387, 734], "468": 264, "matching_algorithm": [265, 442], "constitut": [265, 382, 383], "mate": [265, 442], "hopcroft_karp_match": [265, 278, 280, 442], "eppstein_match": [265, 279, 442], "adjlist": [266, 1337, 1338, 1339, 1340, 1341, 1375, 1376, 1377, 1378, 1396, 1433], "nodetyp": [267, 268, 1338, 1339, 1342, 1343, 1344, 1376, 1377], "edgetyp": [268, 1343, 1376, 1377], "whitespac": [268, 269, 1337, 1338, 1339, 1340, 1342, 1343, 1344, 1345, 1346, 1376, 1377, 1421, 1434], "parse_edgelist": [268, 1343, 1392, 1421], "textlin": [268, 1343], "wb": [269, 1340, 1345, 1346, 1378, 1414], "generate_edgelist": [269, 1392], "aseq": [270, 272, 274, 275, 277], "bseq": [270, 272, 274, 277], "havel": [270, 274, 277, 516, 520, 695, 1186, 1410, 1415], "hakimi": [270, 274, 277, 516, 517, 520, 695, 1186, 1410, 1415], "stub": [270, 272, 274, 277, 1181, 1213, 1216], "n1": [271, 527, 537, 547, 557, 673, 674, 675, 676, 1039, 1091, 1436], "n2": [271, 527, 537, 547, 557, 673, 674, 675, 676, 1039, 1091, 1436], "n_1": 271, "n_2": 271, "g_": [273, 301, 1230, 1232, 1234, 1236, 1237, 1238], "nm": [273, 276, 302, 303, 309, 310, 431, 512, 548, 549, 550, 554, 555, 556, 557, 558, 559, 560], "preferenti": [275, 571, 573, 1191, 1229, 1233, 1235], "guillaum": [275, 1418], "physica": [275, 301, 360], "2006": [275, 348, 349, 385, 387, 436, 500, 620, 627, 686, 736, 738, 1232, 1294, 1298, 1415, 1416], "795": 275, "813": 275, "loup": 275, "lett": [275, 314, 1293], "pg": [275, 300, 1045], "215": [275, 300, 323, 1272], "ipl": [275, 340], "007": [275, 453], "ulrik": [276, 297, 298, 299, 302, 303, 304, 307, 308, 309, 310, 316, 324, 331, 618, 753, 1174, 1236], "rev": [276, 285, 373, 374, 385, 387, 436, 1171, 1183, 1188, 1189, 1190, 1193, 1236, 1240, 1293], "036113": [276, 1236], "unmatch": [278, 279, 281], "hopcroft": [278, 279, 389, 391, 392, 396, 570, 574, 762, 1404], "alias": [279, 1230, 1234, 1238, 1421, 1422], "richard": [279, 281, 1416, 1417], "1973": [279, 348, 349, 389, 391, 392, 396, 490, 492, 515, 1046, 1184, 1186, 1222], "0202019": 279, "alia": [280, 364, 1422, 1423], "mathbb": 281, "lvert": 281, "rvert": 281, "perfect": [281, 582, 626, 1418], "rectangular": [281, 1199, 1205], "man": 281, "mn": [281, 302, 303, 309, 310, 654, 660], "143": [281, 502], "152": 281, "1980": [281, 338, 1416], "vertex_cov": [282, 1423], "konig": 282, "independent_set": [282, 364], "row_ord": 283, "column_ord": 283, "dtype": [283, 297, 302, 303, 304, 309, 310, 324, 1101, 1105, 1106, 1107, 1108, 1284, 1285, 1287, 1416, 1422, 1423], "csr": [283, 1108], "u_": 283, "v_": [283, 334], "b_": [283, 479, 480, 1293], "u_i": [283, 327], "bsr": [283, 1108], "csc": [283, 1108], "coo": [283, 1108, 1415], "lil": [283, 1108, 1415], "dia": [283, 1108, 1415], "dok": [283, 1108], "adjacency_matrix": [283, 284, 777, 1286, 1293, 1294, 1295, 1326, 1327, 1422], "from_biadjacency_matrix": 283, "adjacency_matrix_of_a_bipartite_graph": [283, 284], "entri": [284, 312, 359, 452, 631, 719, 720, 1041, 1101, 1102, 1104, 1105, 1106, 1108, 1118, 1181, 1183, 1184, 1213, 1215, 1216, 1223, 1228, 1287, 1304, 1351, 1411, 1422], "from_numpy_arrai": [284, 1044, 1105, 1395], "sum_k": [285, 1185], "delta_": 285, "d_k": [285, 519], "overlap_weighted_projected_graph": [285, 286, 288, 289], "generic_weighted_projected_graph": [285, 287, 288, 289], "ii": [285, 328, 339, 1223], "016132": [285, 328], "weight_funct": 286, "collaboration_weighted_projected_graph": [286, 287, 288, 289], "jaccard": [286, 287, 572], "unbr": 286, "vnbr": 286, "my_weight": 286, "greater": [289, 298, 299, 305, 307, 308, 316, 317, 322, 330, 331, 332, 354, 363, 376, 382, 383, 385, 386, 387, 466, 469, 471, 627, 692, 788, 1152, 1171, 1204, 1245, 1402, 1403], "redund": [290, 690, 760, 793, 1422, 1423, 1428], "rc": [290, 627, 1284, 1285, 1423], "neq": [290, 301, 321, 635], "mathrm": [290, 1171], "sb": 291, "estrada": [291, 301, 314, 334, 335, 373, 374], "rodr\u00edguez": [291, 626], "vel\u00e1zquez": 291, "physrev": [291, 316, 328, 332, 387, 436], "046105": 291, "nbunch1": [292, 293], "nbunch2": [292, 293], "exterior": [292, 293], "disjoint": [292, 293, 353, 377, 420, 421, 462, 522, 523, 596, 597, 599, 600, 602, 603, 760, 1168, 1170, 1180, 1249, 1329, 1409, 1415, 1417], "isthmus": 294, "chain": [294, 340, 425, 427, 428, 464, 567, 592, 680, 694, 760, 1041, 1064, 1069, 1085, 1100, 1194, 1331, 1413, 1416, 1426], "chain_decomposit": [294, 760], "polylogarithm": [294, 295, 372, 699], "bridge_": [294, 427], "28graph_theori": [294, 427], "finding_with_chain_decomposit": 294, "bridg": [295, 296, 425, 426, 427, 760, 1331, 1425, 1426], "hand": [295, 1263, 1332, 1421, 1426], "with_span": 296, "solver": [297, 302, 303, 304, 309, 310, 313, 324, 326, 568, 1118, 1281, 1282, 1283, 1423], "epsilon": [297, 677, 1245], "kmax": 297, "absolut": [297, 558, 559, 560, 616, 1281, 1282, 1283], "strength": [297, 302, 303, 304, 309, 310, 312, 313, 324, 325, 326], "float32": [297, 302, 303, 304, 309, 310, 324], "consumpt": [297, 302, 303, 304, 309, 310, 324], "toler": [297, 312, 325, 558, 559, 560, 566, 568, 678, 1171, 1281, 1282, 1283], "current_flow_betweenness_centr": [297, 309, 310, 1407, 1416], "sqrt": [297, 302, 303, 309, 310, 325, 326, 431, 511, 677, 1120, 1197, 1221], "unspecifi": [297, 302, 303, 309, 310, 424, 1065, 1284, 1285, 1387, 1388], "fleischer": [297, 302, 303, 304, 309, 310, 324], "22nd": [297, 302, 303, 304, 309, 310, 324, 692], "symp": [297, 302, 303, 304, 309, 310, 324, 1174], "stac": [297, 302, 303, 304, 309, 310, 324], "lnc": [297, 302, 303, 304, 309, 310, 324, 1185], "3404": [297, 302, 303, 304, 309, 310, 324], "533": [297, 302, 303, 304, 309, 310, 324, 429, 430], "544": [297, 302, 303, 304, 309, 310, 324, 1407, 1415], "540": [297, 302, 303, 304, 309, 310, 324, 433], "31856": [297, 302, 303, 304, 309, 310, 324], "9_44": [297, 302, 303, 304, 309, 310, 324], "c_b": [298, 299, 307, 308, 316, 332], "sigma": [298, 299, 307, 308, 316, 332, 760, 784], "interpret": [298, 299, 307, 308, 312, 313, 325, 326, 372, 620, 732, 1101, 1102, 1104, 1281, 1282, 1283, 1355, 1414], "edge_betweenness_centr": [298, 299, 302, 303, 308, 309, 310, 376, 1088], "load_centr": [298, 299, 300, 305, 311, 321, 323, 1408], "pivot": 298, "infinit": [298, 299, 307, 308, 316, 317, 331, 332, 390, 496, 497, 498, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 599, 634, 755, 1224, 1430], "sociologi": [298, 299, 307, 308, 312, 313, 316, 317, 318, 331, 332, 689, 691], "0022250x": [298, 299, 307, 308, 331], "9990249": [298, 299, 307, 308, 331], "variant": [298, 299, 304, 307, 308, 316, 324, 512, 793, 1404], "136": [298, 299, 307, 308, 316], "145": [298, 299, 307, 308, 316, 683, 1185], "socnet": [298, 299, 307, 308], "2007": [298, 299, 307, 308, 314, 332, 357, 358, 380, 437, 438, 627, 688, 1199, 1241, 1277, 1292, 1329, 1415], "001": [298, 299, 307, 308, 576], "pich": 298, "bifurc": 298, "2303": [298, 1416], "2318": 298, "1142": [298, 1206, 1207, 1329], "s0218127407018403": 298, "linton": [298, 300], "freeman": [298, 300, 323], "sociometri": 298, "3033543": 298, "strang": [299, 308, 1288], "wf_improv": [300, 323], "reachabl": [300, 315, 323, 329, 398, 399, 463, 483, 484, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 640, 643, 644, 646, 648, 649, 651, 654, 660, 662, 663, 664, 667, 668, 669, 670, 671, 700, 701, 705, 706, 712, 713, 716, 755, 1387, 1388], "incom": [300, 317, 319, 322, 566, 568, 1302, 1387], "outward": [300, 317, 319, 320, 754], "wasserman": [300, 323], "faust": [300, 323], "actor": [300, 306, 1261, 1415], "wf": 300, "absent": 300, "incremental_closeness_centr": 300, "dijkstra": [300, 321, 630, 631, 632, 634, 635, 637, 638, 654, 655, 656, 657, 658, 660, 661, 662, 669, 1332, 1407, 1415, 1416, 1418, 1423], "inward": [300, 754], "outword": 300, "v2": [300, 527, 537, 557, 654, 673, 674, 675, 676, 1088, 1089, 1117, 1417, 1419, 1420, 1421, 1430], "1979": [300, 323, 510, 579], "0378": [300, 304, 323, 324], "8733": [300, 304, 323, 324], "78": [300, 323, 472, 1171, 1277], "90021": [300, 323], "1994": [300, 407, 408, 734, 1196], "communic": [301, 374, 760, 1331, 1408, 1415, 1416, 1421], "walk": [301, 302, 303, 309, 310, 333, 334, 335, 373, 374, 490, 494, 1152, 1163, 1289, 1290, 1415], "basi": [301, 451, 453, 1403, 1415, 1417], "subraph": 301, "omega_": 301, "prq": 301, "pq": 301, "attain": [301, 1240], "ernesto": [301, 334, 335, 373, 374], "desmond": 301, "higham": 301, "naomichi": [301, 373, 374], "hatano": [301, 373, 374], "764": 301, "774": 301, "0905": [301, 695], "4102": 301, "cbc": 301, "2f": [301, 312, 313, 325, 326, 327, 334, 335], "electr": [302, 303, 309, 310, 451], "approximate_current_flow_betweenness_centr": [302, 303, 1416], "edge_current_flow_betweenness_centr": [302, 303, 1407, 1416], "invers": [302, 303, 309, 310, 325, 326, 487, 488, 489, 579, 730, 731, 732, 733, 1196, 1222], "nw": [302, 303, 309, 310], "resist": [304, 324, 478, 1420], "karen": [304, 324], "stephenson": [304, 324], "marvin": [304, 324, 1421], "zelen": [304, 324], "rethink": [304, 324], "1989": [304, 324, 466, 468, 481, 616], "90016": [304, 324], "6666666666666666": [305, 322, 330], "ti": [306, 466, 690, 721, 735, 750], "score": [306, 327, 570, 571, 573, 574, 677, 704], "embeded": 306, "denomin": [306, 1391, 1425], "lar": 306, "backstrom": 306, "kleinberg": [306, 566, 569, 572, 573, 1201], "g_u": 306, "romant": 306, "partnership": 306, "facebook": 306, "1310": 306, "6753v1": 306, "edge_load": [307, 308, 1416], "loos": 311, "max_it": [312, 313, 325, 375, 379, 566, 568, 593, 594, 1171, 1416, 1422], "tol": [312, 313, 325, 566, 568, 1171, 1281, 1282, 1283, 1416], "1e": [312, 325, 382, 383, 557, 558, 559, 560, 566, 568, 1120, 1171, 1281, 1282, 1283], "nstart": [312, 325, 566, 568], "th": [312, 373, 514, 608, 610, 1201, 1329], "vector": [312, 359, 567, 568, 1199, 1205, 1282, 1283, 1289, 1290, 1333, 1411, 1415], "equat": [312, 326, 451, 1241], "virtu": [312, 313], "perron": [312, 313, 1289, 1290], "frobeniu": [312, 313], "0e": [312, 313, 325], "networkxpointlessconcept": [312, 313, 327, 364, 398, 577, 635, 733, 744, 745, 1046, 1279, 1331], "poweriterationfailedconverg": [312, 325, 566, 568, 1046, 1331], "eigenvector_centrality_numpi": [312, 325, 326, 1416], "hit": [312, 313, 325, 326, 760, 1403, 1410, 1415, 1416, 1422, 1434], "shift": [312, 1045, 1219, 1221, 1248, 1420], "spectrum": [312, 373, 1275, 1331, 1404], "phillip": [312, 313], "bonacich": [312, 313], "92": [312, 313, 446, 1292, 1419, 1421], "1170": [312, 313], "1182": [312, 313], "1986": [312, 313, 516, 583, 1272, 1325, 1416], "leonidzhukov": [312, 313], "net": [312, 313, 332, 429, 430, 498, 504, 505, 506, 507, 510, 557, 764, 1171, 1288, 1347, 1348, 1350, 1381, 1382, 1389], "hse": [312, 313], "socialnetwork": [312, 313], "169": [312, 313], "criterion": [313, 519], "arpack": [313, 1118], "compact": [314, 1119, 1329, 1398], "lambda_": [314, 325, 326, 334, 373], "leqlambda_": 314, "leqcdotslambda_": 314, "_j": 314, "molecular": 314, "chem": 314, "319": 314, "713": 314, "s0009": 314, "2614": 314, "00158": 314, "jos\u00e9": 314, "antonio": 314, "de": [314, 354, 414, 453, 576, 700, 701, 1370, 1423, 1426], "la": [314, 688], "pe\u00f1aa": 314, "ivan": [314, 1418, 1420], "gutman": [314, 621, 777], "juan": [314, 334, 335, 1416, 1421], "rada": 314, "427": [314, 364], "laa": 314, "020": 314, "ei": 314, "greatest": 315, "local_reaching_centr": 315, "stronger": [315, 329, 1120], "shorter": [315, 329, 680], "mone": [315, 329], "eni": [315, 329], "lilla": [315, 329], "vicsek": [315, 329, 378], "tam\u00e1": [315, 329, 378, 1420], "plo": [315, 329, 331, 358, 425, 427, 547, 686, 763, 1241], "ONE": [315, 329, 1241], "e33799": [315, 329], "1371": [315, 329, 331, 425, 427, 547, 686, 763, 1241], "pone": [315, 329, 331, 425, 427, 547, 686, 763, 1241], "0033799": [315, 329], "everett": [316, 317, 318, 332], "181": [316, 317, 318, 332], "1999": [316, 317, 318, 332, 566, 568, 1172, 1173, 1229, 1239, 1245, 1416], "analytictech": [316, 317, 318, 332, 690], "group_centr": [316, 317, 318, 332], "citeseerx": [316, 616, 618], "ist": [316, 496, 566, 568, 616, 618, 694], "psu": [316, 566, 568, 616, 618, 694], "viewdoc": [316, 616, 618], "9610": 316, "rep": [316, 339, 382, 571, 1352, 1353], "rep1": 316, "sourav": [316, 332], "medya": [316, 332], "mine": [316, 332, 595, 672, 677, 678, 692, 788], "sdm": [316, 332], "126": [316, 332, 1185], "134": [316, 332], "ucsb": [316, 332], "arlei": [316, 332], "sdm18": [316, 332], "rami": [316, 332], "puzi": [316, 332], "yuval": [316, 332, 437, 438], "elovici": [316, 332], "shlomi": [316, 332], "dolev": [316, 332], "ap": [316, 328, 332, 436], "1103": [316, 328, 332, 387, 436, 440, 487, 488, 489], "76": [316, 332, 358, 380], "056709": [316, 332], "min_": 317, "zhao": [317, 1421], "resid": [317, 467], "wwwconfer": 317, "689": 317, "694": 317, "1145": [317, 364, 389, 391, 392, 396, 566, 570, 574, 579, 672, 677, 1326, 1327], "2567948": 317, "2579356": 317, "group_in_degree_centr": [318, 320], "group_out_degree_centr": [318, 319], "group_degree_centr": [319, 320], "harmon": [321, 593, 760, 772, 1404, 1416, 1422], "boldi": 321, "sebastiano": [321, 1434], "vigna": [321, 1434], "axiom": 321, "262": 321, "out_degree_centr": [322, 1416], "prev_cc": 323, "increment": [323, 1403, 1420, 1436], "sariyuc": 323, "unnecessari": [323, 471, 680, 1416, 1421, 1422, 1423, 1426], "unweight": [323, 358, 424, 453, 634, 635, 637, 638, 688, 690, 691, 755, 781, 788, 1407, 1408, 1415, 1420, 1433], "kaya": 323, "saul": 323, "catalyiirek": 323, "2013": [323, 340, 1191, 1215, 1410, 1415, 1416], "ieee": [323, 347, 381, 496, 518, 621, 764, 1205, 1208, 1215, 1216, 1275], "bigdata13": 323, "katz": [325, 326, 1410, 1415, 1416, 1420, 1422, 1434], "x_i": [325, 326], "a_": [325, 326, 338, 387, 1293, 1294, 1357, 1358, 1359, 1360, 1383], "x_j": [325, 326], "distant": [325, 326], "penal": [325, 326], "attenu": [325, 326], "strictli": [325, 326, 675, 1171, 1334], "lack": [325, 326], "katz_centrality_numpi": [325, 1416], "adjacency_spectrum": [325, 326, 1287, 1407], "720": 325, "sociometr": [325, 326], "psychometrika": [325, 326], "1953": [325, 326], "bf02289026": [325, 326], "phi": [325, 326, 627, 677, 1289, 1290], "katz_centr": [326, 1416], "walk_typ": [327, 1289, 1290], "drop": [327, 1365, 1369, 1404, 1405, 1411, 1415, 1416, 1419, 1421, 1422, 1423, 1434], "energi": [327, 496], "c_l": 327, "_i": [327, 338, 359], "e_l": 327, "g_i": 327, "lambda_i": 327, "directed_laplacian_matrix": 327, "teleport": [327, 1289, 1290], "qi": 327, "fuller": 327, "zhang": [327, 339, 347, 360, 575, 620, 672, 677], "194": 327, "240": [327, 500, 722, 793], "253": 327, "wvu": 327, "cqzhang": 327, "INS": 327, "kwang": 328, "goh": 328, "byungnam": 328, "kahng": 328, "doochul": 328, "87": [328, 487, 488, 489, 1274], "physrevlett": [328, 487, 488, 489], "278701": 328, "recomput": [329, 376], "global_reaching_centr": 329, "in_degree_centr": [330, 1416], "percol": [331, 378, 436, 440, 760, 1228, 1418], "quantifi": 331, "depict": [331, 376], "scenario": 331, "infect": 331, "transmiss": 331, "virus": 331, "diseas": 331, "town": 331, "decim": 331, "mahendra": 331, "piraveenan": 331, "prokopenko": 331, "liaquat": 331, "hossain": 331, "ploson": [331, 425, 427], "0053095": 331, "promin": [332, 1421, 1422], "candid": [332, 347, 348, 349, 514, 528, 536, 538, 546, 1403], "naiv": [332, 1420, 1431, 1434], "negligibli": 332, "max_gbc": 332, "max_group": 332, "group_betweenness_centr": [332, 1422], "ai": 332, "287": [332, 343], "296": [332, 683, 685], "researchg": [332, 557, 764], "profil": 332, "rami_puzis2": 332, "220308855": 332, "deviat": [333, 337, 1202, 1203, 1204], "neg": [333, 358, 431, 498, 503, 506, 507, 510, 620, 630, 631, 632, 654, 655, 659, 660, 661, 662, 665, 669, 682, 684, 722, 753, 1073, 1225, 1241, 1301, 1404, 1407, 1415, 1421, 1422, 1423], "kermarrec": 333, "sericola": 333, "tr\u00e9dan": 333, "unbias": [333, 703], "viabl": [333, 680], "ann": [333, 343, 1185, 1230, 1234, 1238], "mari": 333, "bruno": 333, "gill": 333, "assess": [333, 1261], "elsevi": [333, 340, 457], "619": 333, "628": 333, "soc": [333, 686, 762, 1172, 1173], "subgraph_centrality_exp": 334, "lambda_j": 334, "rodriguez": [334, 335, 1416], "velazquez": [334, 335], "056103": [334, 335], "0504730": [334, 335], "subgraph_centr": 335, "trophic": [336, 337, 338, 760, 1421], "x_ij": 336, "johnson": [336, 337, 454, 455, 490, 492, 1404, 1418], "s_j": [336, 338], "diff": 336, "dominguez": [336, 337], "garcia": [336, 337, 375], "donetti": [336, 337], "munoz": [336, 337], "coher": [336, 337, 358], "food": [336, 337], "cannib": 337, "incoher": 337, "homogen": [337, 693], "levin": 338, "theor": 338, "biol": 338, "195": 338, "influenti": 339, "neighbour": [339, 364, 375, 436], "elect": 339, "subsequ": [339, 1302, 1334, 1402], "spreader": 339, "27823": 339, "srep27823": 339, "manner": [340, 655, 762, 764, 793, 1334, 1398, 1413], "nontre": [340, 713], "jen": [340, 1416, 1418, 1419, 1426], "schmidt": [340, 1421, 1423], "113": 340, "241": 340, "244": 340, "016": 340, "chordal": [341, 342, 343, 344, 345, 616, 760, 1196, 1331, 1404, 1406, 1415, 1420, 1422], "tree_decomposit": 342, "bigger": [343, 382, 383], "elimin": [343, 455, 1418], "mc": 343, "triangul": [343, 734], "berri": 343, "blair": 343, "heggern": 343, "pinar": [343, 1215], "peyton": 343, "barri": 343, "algorithmica": [343, 1187], "298": 343, "s00453": [343, 453, 1187], "1084": 343, "treewidth_bound": 344, "9223372036854775807": 344, "destin": [344, 503, 1043, 1111, 1288], "induced_nod": 344, "gal": 344, "elidan": 344, "gould": 344, "jmlr": [344, 513, 514], "dec": [344, 608, 1277, 1329], "2699": [344, 1417], "2731": [344, 1417], "csail": 344, "volume9": 344, "elidan08a": 344, "tarjan": [345, 389, 391, 392, 396, 407, 408, 521, 579, 1423], "yannakaki": 345, "hypergraph": [345, 1362, 1363, 1391], "1984": 345, "566": 345, "579": 345, "find_cliqu": [346, 349, 350, 351, 355, 356, 378, 760, 1423], "awar": [347, 348, 349, 547], "convention": [347, 348, 349], "yun": 347, "abu": [347, 673, 674, 675, 676], "khzam": 347, "baldwin": 347, "chesler": 347, "langston": 347, "samatova": 347, "genom": 347, "intens": [347, 358, 1139, 1141, 1143, 1417], "biologi": 347, "supercomput": 347, "nov": 347, "1109": [347, 496], "suffer": [348, 349], "find_cliques_recurs": [348, 760], "bron": [348, 349], "kerbosch": [348, 349], "tomita": [348, 349], "tanaka": [348, 349], "takahashi": [348, 349], "cazal": [348, 349], "karand": [348, 349], "unrol": 348, "457": [348, 349], "575": [348, 349], "portal": [348, 349, 1245], "cfm": [348, 349, 1245], "doid": [348, 349], "362342": [348, 349], "362367": [348, 349], "etsuji": [348, 349], "akira": [348, 349], "haruhisa": [348, 349], "363": [348, 349, 1422], "combinator": [348, 349, 608, 695, 1046, 1185, 1277, 1289, 1290, 1329], "10th": [348, 349], "annual": [348, 349, 621, 1192], "cocoon": [348, 349], "octob": [348, 349, 1208, 1415, 1420, 1432], "tc": [348, 349, 469, 470], "novemb": [348, 349, 1402, 1408, 1415, 1433], "564": [348, 349], "568": [348, 349], "010": [348, 349], "fpo": 352, "euclidean": [352, 1199, 1200, 1202, 1203, 1204, 1205, 1221, 1423, 1434], "plane": [352, 618, 619, 1219, 1221, 1329], "make_clique_bipartit": [353, 760], "relabel_nod": [353, 731, 733, 1300, 1415, 1416, 1421, 1422, 1434], "intermedi": 353, "tavar": 354, "bitset": 354, "decad": 354, "warren": [354, 1419], "neto": 354, "michelon": 354, "um": 354, "algoritmo": 354, "para": 354, "problema": 354, "da": [354, 627, 1418], "m\u00e1xima": 354, "ponderada": 354, "xlvii": 354, "sbpo": 354, "warrent": 354, "illya": 354, "separate_nod": 355, "count_zero": 357, "avg": [357, 1416], "saram\u00e4ki": [357, 358], "kivel\u00e4": [357, 358], "onnela": [357, 358], "kaski": [357, 358, 621], "kert\u00e9sz": [357, 358], "027105": [357, 358], "jponnela": [357, 358], "web_docu": [357, 358], "a9": [357, 358], "marcu": 357, "kaiser": 357, "0802": 357, "2512": 357, "vw": [358, 690], "hat": 358, "uw": [358, 360, 690, 691], "addition": [358, 466, 740, 1302], "tot": [358, 382, 1223], "2deg": 358, "leftrightarrow": 358, "motif": 358, "065103": 358, "costantini": 358, "perugini": 358, "e88669": 358, "fagiolo": 358, "026107": [358, 1240], "mathbf": 359, "k_i": [359, 382, 387, 620, 1286, 1293, 1294], "dotsc": [359, 1228], "2k_i": 359, "zlati\u0107": 359, "garlaschelli": 359, "caldarelli": 359, "epl": 359, "europhys": 359, "iopscienc": 359, "iop": 359, "1209": 359, "0295": 359, "28005": 359, "k_v": 360, "q_v": 360, "a_v": 360, "ie": [360, 430], "k_u": 360, "theta_": 360, "k_w": 360, "c4": [360, 586], "c_3": 360, "pedro": [360, 1421], "lind": 360, "marta": 360, "gonz\u00e1lez": [360, 1422], "herrmann": 360, "056127": 360, "peng": 360, "387": 360, "6869": 360, "6875": 360, "0710": 360, "0117v1": 360, "num_color": 363, "equit": [363, 1419], "networkxalgorithmerror": [363, 695, 696, 1046, 1331], "kierstead": 363, "kostochka": 363, "mydlarz": 363, "szemer\u00e9di": 363, "combinatorica": 363, "217": [363, 618], "is_equit": 363, "largest_first": 364, "random_sequenti": 364, "smallest_last": 364, "connected_sequential_bf": 364, "connected_sequential_df": 364, "connected_sequenti": 364, "saturation_largest_first": 364, "dsatur": [364, 371], "adrian": 364, "kosowski": 364, "krzysztof": 364, "manuszewski": 364, "isbn": [364, 446], "8218": [364, 446], "3458": [364, 1420], "matula": 364, "leland": 364, "beck": 364, "juli": [364, 437, 438, 706, 708, 709, 710, 1228, 1409, 1410, 1415, 1422, 1430], "1983": [364, 1179, 1416], "417": [364, 519], "2402": [364, 1416], "322385": 364, "maciej": 364, "sys\u0142o": 364, "narsingh": 364, "deo": 364, "janusz": 364, "kowalik": [364, 1421], "pascal": [364, 513, 514, 1420], "415": 364, "424": 364, "486": [364, 388, 1175, 1176, 1177], "45353": 364, "df": [365, 389, 391, 392, 396, 483, 712, 713, 1102, 1103, 1106, 1107, 1387, 1406, 1410, 1415, 1416, 1422], "unus": [368, 936, 956, 982, 1000, 1042, 1043, 1417, 1420, 1421, 1422, 1423, 1428, 1429, 1432, 1434], "strategy_smallest_last": [368, 760], "satur": [371, 420, 421], "dequ": 372, "bucket": 372, "queue": [372, 1051, 1052, 1053, 1054, 1308, 1331, 1415, 1423], "strategy_independent_set": [372, 760], "comm": [373, 374, 451], "communicability_exp": [373, 760], "communicability_betweenness_centr": [373, 374, 1422], "phi_": 373, "urm": 373, "jrm": 373, "orthonorm": 373, "77": [373, 374, 454, 455], "036111": [373, 374], "0707": [373, 374], "0756": [373, 374], "fluid": [375, 760, 1416], "unfortun": 375, "gasulla": 375, "competit": [375, 690, 1416], "scalabl": [375, 692, 1208, 1416], "1703": [375, 1416], "09307": 375, "most_valuable_edg": 376, "valuabl": 376, "tradition": 376, "tightli": 376, "knit": 376, "dendrogram": [376, 383], "takewhil": 376, "heaviest": [376, 1422], "most_central_edg": 376, "max_cent": 376, "nois": [376, 788], "precomput": [378, 435, 436, 437, 438, 473, 474, 476, 477], "gerg": 378, "palla": 378, "imr": 378, "der\u00e9nyi": 378, "ill\u00e9": 378, "farkas1": 378, "uncov": 378, "societi": [378, 446, 516], "435": 378, "814": 378, "818": 378, "nature03607": 378, "first_label": [378, 1300], "swap": [379, 627, 683, 685, 694, 695, 696, 760, 1243, 1244, 1302, 1331, 1413, 1420, 1422, 1434], "bisect": 379, "balanc": [379, 579, 730, 732, 741, 1151], "improvem": 379, "shen": 379, "1970": [379, 1416], "bell": [379, 1152], "291": 379, "307": 379, "propag": [380, 381, 596, 597, 599, 602, 603, 606, 614, 741, 760, 788, 1060, 1223, 1225, 1362, 1363, 1417, 1420, 1422, 1423], "halt": [380, 678, 1191], "frequenc": [380, 511, 1062], "raghavan": 380, "usha": 380, "nandini": 380, "r\u00e9ka": 380, "soundar": 380, "kumara": 380, "Near": 380, "036106": 380, "semi": [381, 495, 593, 772], "synchron": 381, "cordasco": 381, "gargano": 381, "decemb": [381, 1415], "basna": 381, "workshop": [381, 557, 764], "modular": [382, 383, 385, 386, 760, 1275, 1293, 1294, 1298, 1331, 1332, 1404, 1415, 1416, 1418, 1421, 1422], "2m": [382, 387, 414, 433, 1063, 1207], "sigma_": 382, "cdot": [382, 425, 571], "reappli": 382, "favor": [382, 383, 385, 386, 387, 585, 1413, 1414, 1415, 1416, 1418, 1419, 1421, 1422, 1423, 1425, 1426], "0000001": [382, 383], "louvain_partit": [382, 1423, 1431], "shuffl": [382, 1415], "blondel": [382, 383], "unfold": [382, 383], "mech": [382, 383], "10008": [382, 383], "1088": 382, "1742": 382, "5468": [382, 1425], "p10008": 382, "traag": 382, "waltman": 382, "eck": 382, "leiden": [382, 478], "5233": 382, "2019": [382, 440, 1277, 1329, 1415, 1419, 1420], "s41598": [382, 571], "019": [382, 571], "41695": 382, "dugu\u00e9": 382, "anthoni": [382, 1420, 1422], "perez": 382, "universit\u00e9": 382, "orl\u00e9an": 382, "hal": [382, 673, 674, 675, 676], "01231784": 382, "ouvert": [382, 673, 674, 675, 676], "fr": [382, 673, 674, 675, 676, 1418, 1419], "nx_comm": [382, 387], "dendogram": 383, "louvain_commun": [383, 1423], "max_siz": 384, "node_weight": [384, 656], "notatre": [384, 733], "best_n": 385, "clauset": [385, 387, 1418], "reichardt": [385, 387], "bornholdt": [385, 387], "e74": 385, "056131": 385, "slower": [386, 431, 498, 654, 660, 1411], "greedy_modularity_commun": [386, 1422, 1423, 1425, 1434], "k_ik_j": 387, "c_i": [387, 479, 480], "c_j": 387, "k_c": 387, "intra": [387, 388, 1171, 1174, 1246], "tradeoff": 387, "inter": [387, 388, 576, 1171, 1174, 1246], "_c": 387, "notapartit": 387, "aaron": [387, 1418, 1420, 1423, 1426], "ej": 387, "cristoph": 387, "0408187": 387, "016110": 387, "likelihood": 387, "052315": 387, "35714285714285715": 387, "santo": [388, 1171, 1175, 1176, 1177], "fortunato": [388, 1171, 1175, 1176, 1177], "174": [388, 1170, 1175, 1176, 1177, 1329], "0906": [388, 1175, 1176, 1177], "0612": [388, 1175, 1176, 1177], "articul": [389, 391, 392, 396, 1408, 1415], "is_biconnect": [389, 391, 392, 397, 398, 399, 400, 1429], "biconnected_component_edg": [389, 392, 396], "subtre": [389, 391, 392, 396, 579, 713, 730, 732, 741], "372": [389, 391, 392, 396], "378": [389, 391, 392, 396], "362248": [389, 391, 392, 396], "362272": [389, 391, 392, 396], "walker": [390, 1422], "enter": 390, "thought": [390, 1180, 1390, 1430], "recurr": [390, 620, 621], "number_attracting_compon": [390, 395], "is_attracting_compon": [390, 403], "articulation_point": [391, 392, 396, 1416], "bicomponents_edg": 391, "k_compon": [392, 427, 1404, 1415, 1422], "bridge_compon": 392, "scc": [393, 1408], "strongly_connected_compon": [393, 394, 399, 401, 405, 409, 590, 1404, 1423], "weakly_connected_compon": [394, 400, 406, 407, 408, 1404], "largest_cc": [394, 409], "attracting_compon": [395, 403, 1408], "is_strongly_connect": [396, 397, 398, 400, 760, 1430], "is_weakly_connect": [396, 397, 398, 399, 1430], "is_semiconnect": [396, 397, 399, 400, 1411], "topo_ord": [398, 459, 460, 470, 1420, 1429], "semiconnect": [398, 1411, 1415], "direction": 400, "kosaraju": 401, "add_cycl": [401, 407, 408, 451, 453, 1056, 1057, 1413, 1416, 1420], "number_weakly_connected_compon": [404, 405], "number_strongly_connected_compon": [404, 406], "kosaraju_strongly_connected_compon": 407, "r827335e01166": 407, "nuutila": [407, 408], "nonrecurs": [407, 455], "146": [407, 408], "160": [407, 408], "soisalon": [407, 408], "soinen": [407, 408], "re7cb971df765": 408, "flow_func": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 504, 505, 508, 509, 1411], "residu": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 1281, 1282, 1283, 1411], "maximum_flow": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 502, 503, 505, 508, 509, 511, 512, 1411], "edmonds_karp": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 502, 504, 505, 508, 509, 511, 512, 1404, 1411], "all_pair": 410, "edge_connect": [410, 411, 413, 415, 416, 417, 418, 419, 420, 424, 428, 1411], "local_edge_connect": [410, 412, 414, 416, 427], "preflow_push": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 496, 500, 501, 504, 505, 508, 509, 512, 1411], "shortest_augmenting_path": [410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 429, 430, 496, 500, 501, 502, 504, 505, 508, 509, 511, 1411], "kappa": [411, 1241], "kappa_": 411, "beinek": [411, 1223], "oellermann": 411, "pippert": 411, "252": 411, "s0012365x01001807": 411, "k_edge_compon": [412, 425, 428, 429, 1417], "k_edge_subgraph": [412, 425, 426, 427, 1417], "abdol": [412, 413, 415, 416, 417, 419, 432, 485], "hossein": [412, 413, 415, 416, 417, 419, 432, 485, 1416], "esfahanian": [412, 413, 415, 416, 417, 419, 432, 485], "cse": [412, 413, 415, 416, 417, 419, 432, 485], "msu": [412, 413, 415, 416, 417, 419, 432, 485], "cse835": [412, 413, 415, 416, 417, 419, 432, 485], "graph_connectivity_revis": [412, 413, 415, 416, 417, 419, 432, 485], "icosahedr": [412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1260], "icosahedral_graph": [412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 480, 1411], "skew": [412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 1411], "ford": [413, 634, 635, 637, 638, 659, 661, 666, 1407, 1415, 1416, 1418], "fulkerson": [413, 1415], "build_auxiliary_edge_connect": [413, 418, 420], "build_residual_network": [413, 414, 418, 419, 420, 421], "minimum_node_cut": [414, 416, 418, 419, 1411], "v_a": 414, "v_b": 414, "u_b": 414, "u_a": 414, "kammer": [414, 433], "frank": [414, 433, 734, 1223, 1329], "hanjo": [414, 433], "taubig": [414, 433], "augsburg": 414, "personen": 414, "graph_connect": 414, "build_auxiliary_node_connect": [414, 419, 421], "destroi": [416, 417, 418, 419], "minimum_st_edge_cut": [416, 1416], "stoer_wagn": [416, 417, 418, 419, 1411], "minimum_st_node_cut": [417, 1421], "minimum_cut": [417, 418, 496, 500, 501, 502, 504, 505, 509, 511, 512, 1411], "minimum_edge_cut": [417, 418, 419, 1411], "node_cut": 417, "node_disjoint_path": 420, "edge_disjoint_path": 421, "imposs": [422, 423, 424, 536, 546], "is_locally_k_edge_connect": 422, "is_k_edge_connect": 423, "partial_k_edge_augment": 424, "networkxunfeas": [424, 457, 459, 466, 467, 468, 470, 498, 506, 507, 510, 591, 1046, 1187, 1331], "auxillarygraph": 425, "slow": [425, 555, 782, 1041, 1064, 1069, 1085], "tianhao": [425, 427], "0136264": [425, 427], "aux_graph": 425, "primarilli": 425, "connctiv": 428, "zhou": [428, 575, 594], "491": [428, 451], "openproceed": 428, "conf": [428, 693, 1326, 1327, 1421, 1422], "edbt": 428, "zhoulylcl12": 428, "all_node_cut": [429, 1404, 1416], "appendix": 429, "www2": 429, "asanet": 429, "asrfeb03moodywhit": 429, "541": [429, 430], "onlinelibrari": [429, 430], "wilei": [429, 430], "1002": [429, 430, 521, 754], "3230230604": [429, 430], "sequenti": [430, 606, 1141, 1149, 1150, 1187, 1309], "dimension": [430, 1217, 1218, 1220, 1221, 1414], "heap": [431, 498, 1308, 1411], "binaryheap": [431, 498, 1411], "stoer": [431, 760, 1411, 1415], "fibonacci": 431, "unit": [431, 498, 499, 503, 506, 507, 510, 512, 682, 1114, 1202, 1203, 1204, 1221, 1281, 1282, 1283, 1416, 1421, 1422, 1425], "minheap": [431, 498], "stock": [431, 498], "pairingheap": [431, 498, 1411], "despit": [431, 498, 1302, 1411], "asymptot": [431, 498, 699, 1245, 1411], "chapter": [432, 1198, 1266], "book": [432, 753, 1150], "va": [433, 1284, 1285], "vb": 433, "ub": 433, "ua": [433, 1284, 1285], "31955": 433, "9_7": 433, "core_numb": [435, 436, 437, 438, 440, 760], "corona": [436, 608, 1406, 1415, 1434], "cornoa": 436, "bootstrap": 436, "phenomena": 436, "nonloc": 436, "goltsev": [436, 1159], "056101": 436, "crust": [437, 1406, 1415], "shai": [437, 438], "carmi": [437, 438], "shlomo": [437, 438], "havlin": [437, 438], "kirkpatrick": [437, 438], "shavitt": [437, 438], "eran": [437, 438], "shir": [437, 438], "vol": [437, 438, 459, 593, 608, 627, 672, 677, 682, 721, 722, 735, 764, 772, 1208, 1209, 1293, 1294, 1298, 1308], "104": [437, 438, 522, 523], "11150": [437, 438], "11154": [437, 438], "k_corona": [438, 760], "truss": [439, 1420, 1421], "burkhardt": 439, "vanc": 439, "faber": 439, "harri": [439, 1416, 1417, 1421], "1806": 439, "05523v2": 439, "jonathan": [439, 683, 1419, 1421], "cohen": [439, 481, 1211, 1420], "od_lay": 440, "011023": 440, "physrevx": 440, "max_weight_match": [442, 585, 760, 1417], "min_cov": 442, "hopcraft_karp_match": 442, "expans": [443, 446, 447, 448, 621], "quotient": [443, 444, 446, 447, 448, 590, 1404, 1415, 1422], "edge_expans": [443, 444, 447, 448, 449, 450, 760], "mixing_expans": [443, 446, 448, 760], "node_expans": [443, 446, 447, 760], "vadhan": [443, 447, 448], "salil": [443, 447, 448], "pseudorandom": [443, 447, 448, 1334], "trend": [443, 447, 448], "1561": [443, 447, 448], "0400000010": [443, 447, 448], "normalized_cut_s": [444, 450, 760], "gleich": [444, 449, 450], "home": [444, 449, 450, 566, 569, 572, 573, 1160], "dgleich": [444, 449, 450], "202005": [444, 449, 450], "20hierarch": [444, 449, 450], "20direct": [444, 449, 450], "20spectral": [444, 449, 450], "boundary_expans": [446, 447, 448, 760], "fan": [446, 522, 523, 1185, 1199, 1289, 1290, 1292], "chung": [446, 522, 523, 1185, 1199, 1289, 1290, 1292], "cbm": [446, 1292], "0315": 446, "ucsd": 446, "edge_boundari": [450, 760, 1415, 1422], "summat": [451, 1204, 1284, 1285], "kirchhoff": 451, "law": [451, 522, 523, 694, 1171, 1181, 1243, 1244, 1322, 1325], "simple_cycl": [451, 452, 453, 454, 760, 1410, 1419, 1429], "cacm": 451, "paton": 451, "sept": 451, "514": 451, "518": 451, "arbitrarili": [452, 654, 712, 713, 714, 715, 716, 717, 719, 720, 721, 735, 1288], "networkxnocycl": [452, 1046, 1331], "polytre": [452, 745, 793], "cycle_basi": [453, 454, 455, 760], "kavitha": 453, "telikep": 453, "9064": 453, "pina": 453, "1995": [453, 459, 592, 690, 1211], "ph": 453, "thesi": [453, 496, 1204, 1211], "amsterdam": [453, 457], "netherland": 453, "elementari": [454, 455], "ram": [454, 1421], "84": [454, 455, 621, 762, 1332], "1975": [454, 455], "0204007": [454, 455], "loizou": 455, "thanish": 455, "1982": 455, "szwarcfit": [455, 457], "lauer": 455, "192": 455, "204": 455, "selfloop_edg": [455, 1078, 1083, 1181, 1183, 1228, 1402, 1413, 1416, 1420, 1422], "bayesian_network": 456, "_all_": 457, "nonuniqu": [457, 468], "topological_sort_ord": 457, "jaym": 457, "1974": [457, 762], "arrang": [457, 466, 1127, 1129], "157": [457, 1326, 1327], "issn": [457, 1170, 1222, 1329], "90001": 457, "north": 457, "holland": [457, 1179], "incompar": [459, 466], "jipsen": [459, 1404], "franco": [459, 1404], "saliola": [459, 1404], "sagemath": 459, "lattic": [459, 683, 684, 784, 1201, 1219, 1221, 1331, 1421, 1431], "frees": 459, "jezek": 459, "am": [459, 1257, 1277, 1329], "226": 459, "default_weight": [460, 461], "longest": [460, 461, 682, 1434], "dag_longest_path_length": [460, 760, 1416], "all_simple_path": [460, 461, 679, 682, 760, 1404, 1415, 1417, 1423, 1432], "all_topological_sort": [460, 760], "dag_longest_path": [461, 760, 1416, 1417, 1429], "recognit": [462, 557, 673, 674, 675, 676, 737, 739, 760, 764, 1411, 1415, 1420], "forest": [462, 621, 736, 737, 738, 739, 743, 744, 793, 1387, 1388, 1415], "parent": [462, 484, 579, 592, 793, 1278, 1349, 1387], "sub": [462, 764, 782], "biject": [462, 681, 731, 733, 793, 1279], "hasacycl": [462, 1046, 1331], "idempot": 462, "prefix_tre": [462, 1417, 1422], "examin": [462, 564, 654, 762, 1332], "diamond": [462, 1221, 1253], "abd": 462, "acd": 462, "ancestor": [463, 467, 577, 578, 579, 760, 1331, 1410, 1415, 1422, 1423, 1431, 1434], "aperiod": 464, "jarvi": 464, "shier": 464, "1996": [464, 516, 520], "walleniu": 464, "crc": [464, 516, 520], "coprim": 464, "topological_sort": [465, 466, 467, 760, 1413, 1420], "lexicograph": [466, 609, 1150], "downstream": 466, "sortabl": [466, 558, 559, 560, 1223, 1416, 1429], "proof": [466, 468, 478, 516, 519, 618, 1213], "manber": [466, 468], "stratifi": 467, "is_directed_acyclic_graph": [468, 760, 1410], "lexicographical_topological_sort": [468, 760, 1416, 1420, 1431], "line_graph": [468, 764], "reflex": [469, 588], "partialord": 469, "treatment": [469, 777, 933, 979, 1042, 1043, 1049, 1421, 1425, 1426], "nontrivi": [469, 1255], "transitive_closur": [470, 760, 1420, 1423], "tr": 471, "d_g": 472, "median": [472, 1423], "shortest_path_length": [472, 510, 644, 646, 655, 755, 760, 1111, 1407, 1408, 1415], "usebound": [473, 474, 476, 477, 1425], "barycent": [473, 476, 760, 1420], "ecc": 475, "nodea": 478, "nodeb": 478, "invert_weight": 478, "akin": 478, "resistors": 478, "proper": [478, 620, 724, 1045, 1415, 1423, 1426], "rd": 478, "matlab": 478, "weisstein": [478, 479, 480, 481, 620, 1206], "mathworld": [478, 479, 480, 481, 620, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263], "wolfram": [478, 479, 480, 481, 620, 1206, 1224, 1248, 1250, 1252, 1253, 1254, 1255, 1256, 1257, 1258, 1259, 1260, 1263], "resistancedist": 478, "vo": 478, "mestrado": 478, "mathematisch": 478, "instituut": 478, "universiteit": 478, "universiteitleiden": 478, "asset": 478, "mi": 478, "scripti": 478, "vos_vaya_mast": 478, "625": 478, "b_i": [479, 480], "c_0": 479, "a_0": 479, "b_0": [479, 480], "c_1": [479, 480], "b_1": [479, 480], "c_d": [479, 480], "a_d": 479, "b_d": 479, "c_2": [479, 480], "a_i": 479, "intersection_arrai": [479, 481, 760], "globalparamet": 479, "dodecahedral_graph": [479, 1136, 1139, 1140, 1141, 1142, 1143, 1248, 1436], "global_paramet": [480, 481, 760], "intersectionarrai": 480, "brouwer": 481, "neumaier": 481, "regulargraph": 481, "hypercube_graph": [481, 1329], "is_distance_regular": [482, 760], "frontier": [483, 1404, 1416], "cooper": [483, 484], "harvei": [483, 484], "kennedi": [483, 484], "110": [483, 484, 689, 691, 798, 1040, 1042, 1043], "idom": 484, "start_with": 485, "is_dominating_set": [485, 760], "dominating_set": [486, 760, 1433], "local_effici": [487, 488, 760], "global_effici": [487, 489, 760], "latora": [487, 488, 489], "vito": [487, 488, 489], "massimo": [487, 488, 489], "marchiori": [487, 488, 489], "198701": [487, 488, 489], "916666666667": 488, "9166666666666667": 489, "eulerian": [490, 491, 492, 493, 494, 495, 760, 1331, 1411, 1415, 1416, 1420, 1422, 1426], "is_eulerian": [490, 492, 493, 495, 760], "euler": [490, 491, 493, 760, 1411, 1418, 1420, 1434], "edmond": [490, 492, 501, 583, 721, 760, 793, 1411], "chines": [490, 492], "postman": [490, 492], "eulerian_path": [490, 492, 493, 760], "eulerian_circuit": [492, 760, 1411], "princeton": 492, "math_al": 492, "notes1": 492, "iff": [493, 495, 496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 527, 537, 618, 619, 764, 1281], "has_eulerian_path": [495, 760, 1422, 1426], "value_onli": [496, 500, 501, 504, 505, 508, 509, 511, 512, 1411], "commod": [496, 500, 501, 504, 505, 511, 512], "boykov": [496, 760, 1416], "kolmogorov": [496, 760, 1416], "unabl": [496, 500, 501, 512, 1357, 1358, 1383, 1384], "networkxunbound": [496, 498, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 654, 660, 1046, 1331], "unbound": [496, 498, 500, 501, 503, 504, 505, 506, 507, 510, 511, 512, 634, 1046], "flow_valu": [496, 497, 500, 501, 504, 505, 508, 509, 511, 512, 1411], "vision": 496, "transact": [496, 608, 764], "1124": 496, "tpami": 496, "camera": 496, "reconstruct": [496, 633, 692, 788], "phd": [496, 1211], "cornel": [496, 566, 569, 572, 573], "109": [496, 1179], "20170809091249": 496, "vnk": 496, "maximum_flow_valu": [496, 500, 501, 503, 504, 508, 509, 511, 512, 1411], "source_tre": 496, "target_tre": 496, "incur": [498, 499, 503, 506, 507, 510], "flowcost": [498, 507, 510], "flowdict": [498, 499, 503, 506, 510], "situat": [498, 506, 507, 510, 1306], "network_simplex": [498, 499, 503, 506, 507], "spam": [498, 510, 607, 609, 612, 613, 1436], "vacanc": [498, 510], "max_flow_min_cost": [499, 506, 507, 510], "min_cost_flow": [499, 503, 507, 510], "min_cost_flow_cost": [499, 503, 506, 510], "overflow": [499, 503, 506, 507, 510, 655, 662, 669, 1302], "roundoff": [499, 503, 506, 507, 510, 655, 662, 669], "workaround": [499, 503, 506, 507, 510, 600, 1416, 1422, 1428, 1429], "multipli": [499, 503, 506, 507, 510, 1270], "eg": [499, 503, 506, 507, 510, 516, 750], "yefim": 500, "3895": [500, 1421], "218": 500, "11685654_10": 500, "gomori": [502, 760, 1420], "hu": [502, 760, 1420], "gusfield": 502, "comori": 502, "155": 502, "1990": [502, 740, 1261], "minimum_edge_weight_in_shortest_path": 502, "minimum_cut_valu": [502, 504, 505, 508, 1411], "boykov_kolmogorov": [502, 1433], "cost_of_flow": [503, 506, 507, 510], "mincostflow": 503, "mincost": [503, 510, 1408], "373": 503, "maxflow": 503, "mincostflowvalu": 503, "flowg": [504, 505, 508, 509], "_t": [504, 505, 508, 509], "capacit": [504, 505, 508, 509], "outflow": [504, 505], "flow_dict": [504, 1411], "non_reach": 508, "simplex": [510, 760, 1404, 1416], "kirali": 510, "kovac": 510, "universitati": 510, "sapientia": 510, "118": 510, "barr": 510, "glover": 510, "klingman": 510, "infor": 510, "global_relabel_freq": 511, "preflow": [511, 760, 1411], "disabl": [511, 1417], "two_phas": 512, "edge_attr": [513, 514, 1042, 1043, 1103, 1121, 1284, 1285], "digest_s": [513, 514], "weisfeil": [513, 514, 756, 1421, 1423], "lehman": [513, 514, 756, 1421, 1423], "wl": [513, 514], "blake2b": [513, 514], "digest": [513, 514], "hexadecim": 513, "weisfeiler_lehman_subgraph_hash": [513, 760], "shervashidz": [513, 514], "nino": [513, 514], "schweitzer": [513, 514], "erik": [513, 514, 1422, 1428, 1434], "leeuwen": [513, 514], "karsten": [513, 514], "borgwardt": [513, 514], "kernel": [513, 514, 1188, 1241], "volume12": [513, 514], "shervashidze11a": [513, 514], "7bc4dde9a09d0b94c5097b219891d81a": 513, "c653d85538bcf041d88c011f4f905f10": 513, "3dcd84af1ca855d0eff3c978d88e7ec7": 513, "hop": [514, 642], "concaten": 514, "2i": 514, "seen": [514, 642, 1332, 1422, 1436], "graph2vec": 514, "node_subgraph_hash": 514, "weisfeiler_lehman_graph_hash": [514, 760, 1423], "annamalai": 514, "narayanan": 514, "mahinthan": 514, "chandramohan": 514, "rajasekar": 514, "venkatesan": 514, "lihui": 514, "chen": 514, "yang": 514, "shantanu": 514, "jaiswa": 514, "1707": 514, "05005": 514, "g1_hash": 514, "g2_hash": 514, "a93b64973cfc8897": 514, "db1b43ae35a1878f": 514, "57872a7d2059c1c0": 514, "1716d2a4012fa4bc": 514, "conclud": 514, "in_sequ": 515, "out_sequ": 515, "kleitman": [515, 1184, 1186], "valenc": [515, 1184, 1186], "hh": 516, "gallai": [516, 519, 1407, 1415], "eg1960": [516, 519], "choudum1986": 516, "havel1955": [516, 520], "hakimi1962": [516, 520], "cl1996": [516, 520], "lapok": [516, 519], "264": [516, 519], "1960": [516, 519, 1223], "choudum": 516, "bulletin": 516, "australian": 516, "1017": [516, 1245], "s0004972700002872": 516, "remark": [516, 520], "casopi": [516, 520], "pest": [516, 520], "477": [516, 520], "1955": [516, 520, 1416], "appl": [516, 520], "496": [516, 517, 520, 1186], "506": [516, 517, 520, 1186, 1407, 1415], "1962": [516, 517, 520, 1186, 1206, 1207, 1329, 1416], "chartrand": [516, 520], "lesniak": [516, 520], "chapman": [516, 520], "pseudograph": [518, 1181, 1183], "boesch": [518, 1207], "harari": [518, 1046, 1206, 1207, 1223, 1331, 1419, 1420], "tran": 518, "778": 518, "782": 518, "d_i": 519, "n_j": 519, "durfe": 519, "rearrang": [519, 616], "zz": [519, 520], "265": 519, "420": 519, "zverovich": [519, 520], "303": [519, 520], "luo": 521, "mage": 521, "evolv": [521, 1235], "cplx": 521, "20368": 521, "cmage": 521, "detectingevolvingpatterns_flowhierarchi": 521, "low_memori": [522, 523], "connected": [522, 694], "looser": [522, 523], "stricter": [522, 523], "kl_connected_subgraph": [522, 760], "linyuan": [522, 523], "phenomenon": [522, 523, 627, 1172, 1173, 1201], "hybrid": [522, 523, 760, 1331], "same_as_graph": 523, "is_sam": 523, "is_kl_connect": [523, 760], "out_degr": 525, "node_match": [527, 537, 547, 550, 556, 557, 560, 673, 674, 675, 676, 1408], "edge_match": [527, 537, 547, 548, 549, 554, 555, 557, 558, 559, 673, 674, 675, 676, 1408], "matcher": [527, 537, 762], "u1": [527, 537, 557, 673, 674, 675, 676], "v1": [527, 537, 557, 673, 674, 675, 676, 1088, 1089, 1248, 1405, 1414], "u2": [527, 537, 557, 673, 674, 675, 676], "reiniti": [529, 539], "redefin": [529, 539, 764], "digmstat": 529, "redefinit": [529, 539], "g1_node": [533, 536, 543, 546], "g2_node": [533, 536, 543, 546], "syntact": [536, 546, 764, 1302], "monomorph": [536, 546, 764, 1420], "gmstate": 539, "cach": [547, 628, 629, 1420, 1422, 1426, 1431, 1434], "node_equ": 547, "edge_equ": 547, "houbraken": [547, 763], "demey": [547, 763], "michoel": [547, 763], "audenaert": [547, 763], "coll": [547, 763], "pickavet": [547, 763], "exploit": [547, 763], "e97896": [547, 763], "0097896": [547, 763], "graph1": [547, 763, 1315], "node1": [547, 577, 578], "graph2": [547, 763, 1315], "node2": [547, 577, 578], "edge1": 547, "edge2": 547, "categorical_node_match": [547, 557, 1408], "categorical_edge_match": [547, 557, 1408], "iso": [548, 549, 550, 557, 558, 559, 560, 1408], "op": [554, 555, 556], "isclos": [554, 555, 556, 1423], "dgeattribut": 555, "generic_node_match": [555, 1408], "numerical_node_match": [557, 1408], "numerical_edge_match": [557, 1408], "numerical_multiedge_match": [557, 1408], "categorical_multiedge_match": 557, "cordella": [557, 764], "foggia": [557, 764], "sanson": [557, 764], "vento": [557, 764], "iapr": [557, 764], "tc15": [557, 764], "cuen": [557, 764], "149": [557, 764, 1418], "159": [557, 764], "200034365_an_improved_algorithm_for_matching_large_graph": [557, 764], "em": 557, "rtol": [557, 558, 559, 560], "atol": [558, 559, 560], "t1": [561, 562], "root1": 561, "t2": [561, 562], "root2": 561, "subroutin": 561, "tree_isomorph": [561, 1421], "somewhat": [561, 1171], "node_label": [563, 564, 565, 762, 1123, 1127, 1128, 1129, 1132], "default_label": [563, 564, 565], "langvil": [566, 568], "meyer": [566, 568], "cites": [566, 568, 694], "713792": [566, 568], "authorit": 566, "hyperlink": 566, "604": 566, "324133": 566, "324140": 566, "kleinber": [566, 569, 572, 573], "auth": 566, "85": [567, 568, 1235], "dangl": [567, 568], "damp": [567, 568], "outedg": [567, 568], "irreduc": [567, 568], "stationari": 567, "di": [567, 654, 660, 682, 764, 1067, 1332, 1404, 1413, 1416, 1434], "lawrenc": [568, 1421], "brin": 568, "sergei": [568, 683, 685], "motwani": 568, "rajeev": 568, "winograd": 568, "terri": 568, "dbpub": 568, "8090": 568, "showdoc": 568, "fulltext": 568, "lang": [568, 721, 735, 1045], "adam": [569, 1417, 1420, 1434], "adar": 569, "piter": [569, 570, 571, 572, 573, 574, 575, 576], "liben": [569, 572, 573], "nowel": [569, 572, 573], "8f": [569, 572, 574, 575, 576], "16404256": 569, "bonu": 570, "sucheta": [570, 574], "soundarajan": [570, 574], "21st": [570, 574, 576], "companion": [570, 574], "ny": [570, 574, 1326, 1327], "607": [570, 574], "608": [570, 574], "2187980": [570, 574], "2188150": [570, 574], "ccpa": [571, 1421], "parameter": 571, "vital": [571, 753, 760, 1331, 1408, 1415], "prestig": 571, "common_neighbor": 571, "ahmad": 571, "akhtar": 571, "noor": 571, "364": 571, "57304": 571, "4000000000000004": 571, "60000000": 572, "alloc": [574, 575], "50000000": 574, "eur": 575, "623": 575, "0901": 575, "0553": 575, "75000000": 575, "wic": 576, "jorg": [576, 1421], "carlo": [576, 764, 1421, 1422], "valverd": 576, "rebaza": 576, "alneu": 576, "andrad": 576, "brazilian": 576, "sbia": 576, "642": 576, "34459": 576, "6_10": 576, "99800200": 576, "33333333": [576, 1284, 1285], "lca": [577, 579, 1431, 1434], "lowest_common_ancestor": [577, 579, 760, 1423, 1431, 1434], "all_pairs_lowest_common_ancestor": [578, 579, 760, 1431, 1434], "ackermann": 579, "ever": [579, 602, 1041], "690": 579, "715": 579, "322154": 579, "322161": 579, "is_maximal_match": [580, 760, 1423], "my_match": 582, "blossom": 583, "invent": 583, "jack": [583, 1417], "zvi": 583, "galil": [583, 1197, 1404], "subtract": [585, 1115], "new_weight": 585, "max_weight": 585, "self_loop": [586, 587, 589, 1191], "unmodifi": [586, 587, 589, 1411], "contracted_nod": [586, 589, 590, 760, 1421], "c5": 586, "contracted_edg": [587, 589, 760, 1422], "realign": [587, 589], "identified_nod": [587, 760], "p3": [587, 589], "multiedgeview": [587, 589, 966, 994, 1005, 1006], "is_partit": 588, "congruenc": 588, "remaind": 588, "mod3": 588, "edge_rel": 590, "node_data": [590, 600], "edge_data": [590, 600, 1097, 1422], "meaning": [590, 1436], "per": [590, 628, 629, 677, 684, 686, 763, 1100, 1398, 1422], "patrick": [590, 673, 674, 675, 676], "doreian": 590, "anuska": 590, "ferligoj": 590, "k_2": 590, "same_neighbor": 590, "k2": 590, "condens": [590, 1408, 1415, 1431], "dc": 590, "ea": 590, "ef": 590, "fg": [590, 1436], "gf": 590, "hd": 590, "hf": 590, "component_of": 590, "same_compon": 590, "identif": [590, 790], "k24": 590, "k34": 590, "is_contract": 590, "equivalence_class": [590, 760, 1422], "indep_nod": 591, "wrai": 592, "buntin": 592, "eleventh": 592, "uai": [592, 734], "g_moral": 592, "label_nam": [593, 594], "classif": [593, 594, 760, 1331], "zhu": [593, 772, 1422], "ghahramani": [593, 772], "lafferti": [593, 772], "august": [593, 627, 672, 677, 692, 772, 1228, 1404, 1415, 1421, 1431], "supervis": [593, 772], "gaussian": [593, 772, 1174, 1202, 1203, 1204], "icml": [593, 772], "912": [593, 772], "919": [593, 772], "node_classif": [593, 594, 772, 1423, 1434], "clamp": 594, "bousquet": 594, "lal": 594, "weston": 594, "sch\u00f6lkopf": 594, "neural": [594, 1286, 1296], "321": 594, "nr": 595, "nr_rd": 595, "xiaowei": 595, "ying": 595, "xintao": 595, "composit": 596, "disjoint_union_al": [599, 760], "convert_node_labels_to": 599, "surpris": [600, 1426, 1436], "collis": [600, 602, 606, 1301, 1417], "dark": 600, "light": [600, 1391], "gcomposeh": 600, "renumb": 602, "key1": 602, "key2": [602, 948, 962, 994], "h3": [603, 606, 1045], "h4": [603, 1045], "gh": [604, 1422, 1423, 1426, 1431, 1434], "facil": [606, 1436], "clash": [606, 1417], "h0": 606, "h1": [606, 1045], "h2": [606, 1045], "cartesian": [607, 609, 611, 612], "a1": [607, 609, 612, 613], "a2": [607, 609, 612, 613], "circ": [608, 1223], "carona": 608, "tavakoli": 608, "rahbarnia": 608, "ashrafi": 608, "22108": 608, "toc": 608, "5542": 608, "faraji": [608, 1434], "ali": [608, 1416, 1422, 1434], "blog": [608, 1204, 1257], "alifaraji": 608, "expon": [610, 1171, 1201, 1243, 1244, 1322, 1325], "exercis": 610, "bondi": 610, "murti": [610, 1277, 1329], "tensor": 613, "g_complement": 614, "g_revers": 615, "fully_triangul": 616, "stai": 616, "planarembed": [616, 618, 619, 760, 1113, 1426], "chrobak": 616, "payn": 616, "6677": 616, "incoming_graph_data": [617, 798, 852, 897, 933, 979, 1040, 1042, 1043], "check_planar": [617, 619, 760], "counterclockwis": 617, "check_structur": 617, "is_direct": [617, 1156, 1415], "overridden": [617, 936, 937, 982, 983], "planargraph": 617, "doubli": 617, "emphas": [617, 793], "is_planar": [617, 618, 760, 1426], "fridai": [617, 798, 852, 897, 933, 979, 1040, 1042, 1043, 1436], "counterexampl": [618, 1265, 1270], "kuratowski": 618, "9208": 618, "takao": 618, "nishizeki": 618, "md": [618, 1417], "saidur": 618, "rahman": 618, "chromat": [620, 777, 1225, 1277, 1329, 1429], "x_g": 620, "interpol": 620, "k_0": 620, "lagrang": 620, "k_1": 620, "x_": [620, 1325], "formul": 620, "sympi": [620, 621, 777, 1425], "tutt": [620, 621, 777, 1270, 1425], "t_g": [620, 621], "chromaticpolynomi": 620, "goodal": [620, 621], "apost": 620, "204_2018": 620, "julie_zhang_pap": 620, "1968": 620, "mrklug": 620, "readchromat": 620, "s0196885803000411": 620, "stanlei": 620, "rstan": 620, "pubfil": 620, "nulliti": 621, "b_e": 621, "nonempti": [621, 681, 754, 1223], "setminu": [621, 689, 690], "p_e": 621, "t_": 621, "brandt": 621, "talk": 621, "seminar": 621, "brandtm": 621, "bj\u00f6rklund": 621, "husfeldt": 621, "koivisto": 621, "49th": 621, "ieeexplor": [621, 764], "4691000": 621, "shi": [621, 777], "dehmer": [621, 777], "ne\u0161etril": 621, "homomorph": 621, "iuuk": 621, "mff": 621, "cuni": 621, "cz": 621, "coutinho": 621, "dcc": 621, "ufmg": 621, "br": [621, 721, 735], "coutinho_tuttepolynomial_seminar": 621, "elli": 621, "monaghan": 621, "merino": 621, "0803": 621, "3079": 621, "diamond_graph": 621, "indegre": 625, "outdegre": 625, "matching_weight": 626, "meijer": 626, "henk": 626, "yurai": 626, "n\u00fa\u00f1ez": 626, "rappaport": 626, "e_k": 627, "n_k": 627, "doubl": [627, 694, 696, 1105, 1106, 1108, 1253, 1278, 1287, 1302, 1353, 1415], "julian": 627, "mcaulei": 627, "luciano": 627, "fontoura": 627, "costa": 627, "tib\u00e9rio": 627, "caetano": 627, "0701290": 627, "milo": [627, 1422], "kashtan": 627, "itzkovitz": 627, "alon": 627, "0312028": 627, "inadmiss": [628, 629], "overestim": [628, 629], "hidden": [628, 629, 649, 650, 651, 655, 656, 657, 658, 662, 663, 664, 669, 670, 671, 1085], "dijkstra_path": [628, 652, 1332, 1420], "hide": [628, 655, 656, 657, 662, 663, 664, 669, 670, 671, 1041, 1434], "grid_graph": [628, 1329, 1416, 1421], "y1": 628, "y2": 628, "astar_path": [629, 1407], "floyd": [630, 631, 632, 635, 661, 781, 1406, 1415, 1420], "floyd_warshall_predecessor_and_dist": [630, 633, 661], "floyd_warshall_numpi": [630, 632, 661], "all_pairs_shortest_path": [630, 632, 634, 637, 661, 1415, 1436], "floyd_warshal": [632, 639, 647, 650, 1422], "reconstruct_path": 632, "bellman": [634, 635, 637, 638, 659, 661, 666, 1407, 1415, 1416], "single_source_shortest_path": [634, 637, 645, 1415, 1421], "substack": 635, "djikstra": [635, 1423], "warshal": [635, 661, 781, 1420], "all_pairs_dijkstra_path": [637, 647, 661], "all_pairs_bellman_ford_path": [637, 650, 661], "single_source_dijkstra_path": [637, 669], "single_source_bellman_ford_path": [637, 666], "all_pairs_dijkstra_path_length": 638, "all_pairs_bellman_ford_path_length": [638, 661], "single_source_dijkstra_path_length": [638, 669], "single_source_bellman_ford_path_length": [638, 666, 671], "return_seen": [642, 1431], "obj": [649, 1314, 1416, 1421, 1422, 1434], "single_source_dijkstra": [649, 656, 657, 666, 667, 668, 670, 671, 1416, 1420, 1423], "len_path": 649, "bellman_ford_path_length": [652, 657], "dijkstra_path_length": [653, 1416], "bellman_ford_path": [653, 656], "find_negative_cycl": [654, 1423, 1426], "forev": 654, "hopefulli": 654, "ordinari": [655, 1423], "sphere": 655, "bidirectional_dijkstra": [656, 657, 1421], "func": [656, 1014, 1049, 1302, 1404, 1416, 1420, 1421], "node_u_wt": 656, "node_v_wt": 656, "edge_wt": 656, "bellman_ford_predecessor_and_dist": [661, 665, 1416, 1417], "multi_source_dijkstra_path": [662, 754], "multi_source_dijkstra_path_length": 662, "cookbook": [662, 669], "119466": [662, 669], "activest": [662, 669], "multi_source_dijkstra": [663, 664, 1416], "multi_source_bellman_ford": 663, "anywher": 665, "magnitud": [665, 1115, 1404], "negative_cycl": 665, "single_source_bellman_ford": [667, 668, 669, 670], "sample_s": 672, "index_map": 672, "tang": [672, 677], "tong": [672, 677], "jing": [672, 677], "panther": [672, 677, 1422], "sigkdd": [672, 677, 678, 692], "knowledg": [672, 677, 678, 692], "1445": [672, 677, 1404, 1416], "1454": [672, 677], "machineri": [672, 677, 1041], "2783258": [672, 677], "2783267": [672, 677], "random_path": 672, "paths_containing_node_0": 672, "path_idx": 672, "node_subst_cost": [673, 674, 675, 676], "node_del_cost": [673, 674, 675, 676], "node_ins_cost": [673, 674, 675, 676], "edge_subst_cost": [673, 674, 675, 676], "edge_del_cost": [673, 674, 675, 676], "edge_ins_cost": [673, 674, 675, 676], "upper_bound": [673, 674, 675, 676], "timeout": [673, 675, 1421], "ged": [673, 675, 676, 782, 1421], "levenshtein": [673, 676], "optimal_edit_path": [673, 675, 760], "optimize_graph_edit_dist": [673, 675, 760, 782], "zeina": [673, 674, 675, 676], "aisheh": [673, 674, 675, 676], "raveaux": [673, 674, 675, 676], "yve": [673, 674, 675, 676], "ramel": [673, 674, 675, 676], "martineau": [673, 674, 675, 676], "4th": [673, 674, 675, 676], "lisbon": [673, 674, 675, 676], "portug": [673, 674, 675, 676], "5220": [673, 674, 675, 676], "0005209202710278": [673, 674, 675, 676], "01168816": [673, 674, 675, 676], "edit_path": 674, "node_edit_path": [674, 675], "edge_edit_path": [674, 675], "graph_edit_dist": [674, 675, 676, 760, 782], "optimize_edit_path": [674, 676, 760, 782], "strictly_decreas": 675, "minv": 676, "ep": 677, "sim": [677, 678, 1422], "importance_factor": 678, "0001": [678, 1120], "simrank": [678, 1420], "referenc": 678, "in_neighbors_u": 678, "in_neighbors_v": 678, "decai": [678, 1201], "jeh": 678, "widom": 678, "kdd": [678, 1213, 1214], "eighth": 678, "538": 678, "543": 678, "sim_1d": 678, "path_gener": [679, 680, 682], "all_shortest_path": [679, 680, 682, 760, 1421], "k0": 679, "has_path": [680, 760], "functool": 680, "chaini": 680, "from_iter": 680, "all_path": 680, "jin": [682, 1419, 1421], "yen": [682, 1404], "kn": [682, 688, 1206], "loopless": 682, "jul": 682, "1971": 682, "712": 682, "716": 682, "k_shortest_path": 682, "rewir": [683, 684, 685, 686, 1171, 1173, 1177, 1213, 1216, 1231, 1235, 1247, 1415], "diagon": [683, 1105, 1106, 1108, 1215, 1221, 1223, 1259, 1286, 1287, 1289, 1290, 1291, 1292], "sporn": 683, "maslov": [683, 685], "sneppen": [683, 685], "olaf": 683, "zwi": 683, "cerebr": 683, "cortex": 683, "neuroinformat": 683, "162": 683, "protein": [683, 685, 1193, 1436], "5569": [683, 685], "910": [683, 685, 1187], "913": [683, 685], "nrand": [684, 686], "lr": [684, 686], "cl": 684, "telesford": 684, "joyc": 684, "hayasaka": 684, "burdett": 684, "laurienti": 684, "ubiqu": 684, "brain": 684, "0038": 684, "pmc": 684, "3604768": 684, "pmid": [684, 686], "22432451": 684, "1089": 684, "humphri": 686, "brainstem": 686, "reticular": 686, "gurnei": 686, "prescott": 686, "roi": 686, "273": 686, "503": 686, "511": 686, "1098": 686, "rspb": 686, "3354": 686, "quantit": 686, "18446219": 686, "0002051": 686, "norm": [687, 1415], "lun": 687, "alderson": 687, "doyl": 687, "walter": 687, "implic": 687, "0501169": 687, "stretch": 688, "e_": 688, "baswana": 688, "sen": 688, "vega": 688, "km": 688, "struct": [688, 1175, 1211], "532": 688, "563": 688, "invest": 689, "ell": [689, 691], "local_constraint": [689, 760], "burt": [689, 690, 691], "ronald": [689, 690, 691, 1149, 1150, 1272], "hole": [689, 690, 691, 760, 1331], "349": [689, 691], "her": [690, 1263], "nonredund": 690, "p_": [690, 691, 1152, 1185, 1199], "m_": [690, 1224], "esiz": 690, "harvard": 690, "v20": 690, "wv": 691, "decompress": [692, 1348], "maccioni": 692, "abadi": 692, "1755": 692, "1764": 692, "umd": 692, "dedens": 692, "c_graph": 692, "densifi": 692, "all_neighbor": 692, "out_neighbor": [692, 1415], "in_neighbor": [692, 1415], "supernod": [693, 788], "supernode_attribut": 693, "superedge_attribut": 693, "viewer": 693, "tian": 693, "hankin": 693, "patel": 693, "sigmod": 693, "567": 693, "580": 693, "vancouv": 693, "canada": 693, "nswap": [694, 695, 696], "_window_threshold": 694, "window": [694, 1405, 1415, 1420, 1422], "gkantsidi": 694, "mihail": 694, "zegura": 694, "gkantsidis03markov": 694, "max_tri": [695, 696], "trio": 695, "p\u00e9ter": [695, 762], "4913": 695, "48550": 695, "elec": 695, "r66": 695, "volume_17": 695, "v17i1r66": 695, "stackexchang": 695, "22272": 695, "threshold_graph": [697, 698], "tournament": [699, 700, 701, 702, 703, 704, 760, 1331, 1422, 1426], "undefin": [700, 701], "tantau": [700, 701], "till": [700, 701], "electron": [700, 701, 1210, 1277, 1292, 1329], "colloquium": [700, 701], "eccc": [700, 701], "hpi": [700, 701], "092": [700, 701], "uniformli": [703, 1114, 1189, 1190, 1191, 1199, 1202, 1203, 1204, 1205, 1231, 1232, 1237, 1242, 1247, 1279, 1325], "binom": 703, "coin": 703, "sooner": 705, "depth_limit": [706, 708, 709, 710, 712, 713, 714, 715, 716, 717, 718, 1434], "sort_neighbor": [706, 708, 709, 710], "bfs_tree": [706, 708, 709, 714, 715, 717, 718, 719], "dfs_edg": [706, 713, 714, 716, 720], "edge_bf": [706, 708, 709, 710], "limited_search": [706, 712], "bfs_edg": [708, 709, 710, 712, 716, 719], "succ": [709, 717, 1022, 1023, 1024, 1025, 1332, 1425, 1434], "dfs_tree": [710, 1415, 1416], "edge_df": [712, 714, 715, 717, 718, 719, 1404, 1415], "dfs_preorder_nod": [712, 713, 714, 715, 717, 718, 1420], "dfs_postorder_nod": [712, 713, 715, 716, 717, 718], "dfs_labeled_edg": [712, 714, 715, 716, 717, 718, 1416, 1434], "flavor": [713, 1332], "transcript": 713, "breadth_first_search": 719, "init_partit": 721, "broken": [721, 735, 1413, 1416, 1422, 1425, 1434], "janssen": [721, 735], "s\u00f6rensen": [721, 735], "pesquisa": [721, 735], "operacion": [721, 735], "219": [721, 735], "229": [721, 735], "scielo": [721, 735], "pope": [721, 735], "xhswbwrwjyrfl88dmmwynwp": [721, 735], "included_edg": 721, "excluded_edg": 721, "bureau": 722, "1967": [722, 793, 1416], "71b": [722, 793], "233": [722, 793], "jresv71bn4p233": [722, 793], "edgepartit": [725, 726, 727, 728], "enum": [725, 726, 727, 728], "sensible_relabel": 730, "sensible_label": 730, "to_nested_tupl": [730, 733], "from_prufer_sequ": [730, 733, 1279], "pr\u00fcfer": [731, 733, 793, 1279], "from_nested_tupl": [731, 732], "to_prufer_sequ": [731, 732], "xiaodong": [731, 733], "lei": [731, 733], "yingji": [731, 733], "prufer": [731, 733, 1420], "4236": [731, 733], "jsea": [731, 733], "22016": [731, 733], "tree2": [731, 733], "canonical_form": 732, "lighter": 732, "heavier": 732, "sepset": 734, "bipartiti": 734, "junction_tree_algorithm": 734, "finn": 734, "tenth": 734, "360": 734, "366": 734, "ignore_nan": [735, 736, 737, 738, 739], "kruskal": [735, 736, 737, 738, 739, 1403, 1415, 1416], "nan": [735, 736, 737, 738, 739, 1105, 1106, 1415, 1420, 1422], "prim": [736, 737, 738, 739, 1406, 1415, 1416, 1420, 1425], "boruvka": [736, 737, 738, 739], "bor\u016fvka": [736, 737, 738, 739, 1416], "april": [736, 738, 1415, 1419, 1425], "mst": [736, 738, 1416, 1420, 1425], "edgeless": [737, 739], "verison": 740, "a8": 740, "kulkarni": 740, "185": 740, "rooted_tre": 741, "label_attribut": [741, 1123, 1132, 1300], "_old": 741, "overwrit": [741, 1088, 1136, 1404], "joined_tre": 741, "is_tre": [742, 1426], "is_forest": [743, 1426], "is_branch": 744, "polyforest": [744, 793], "is_arboresc": 745, "istriad": 748, "tie": 750, "vice": [750, 1199], "versa": [750, 1199], "20170830032057": [750, 752], "uk": [750, 752], "trans_triads_ha": [750, 752], "censu": [751, 1404, 1415, 1426], "triad_graph": 751, "andrej": 751, "mrvar": 751, "subquadrat": 751, "ljubljana": 751, "suppos": [752, 762, 764, 1278], "tri_by_typ": 752, "wiener_index": [753, 760], "infin": [753, 755, 1202, 1203, 1204], "wiener": [753, 755, 760, 1331], "ttnhsm7hyric": 753, "erwig": 754, "martin": [754, 1416, 1418, 1419, 1420, 1421, 1422, 1423, 1424], "1097": 754, "0037": 754, "200010": 754, "net2": 754, "graphi": 757, "is_at_fre": 760, "has_bridg": [760, 1432], "local_bridg": 760, "dispers": [760, 1411, 1416, 1417, 1433, 1434], "voterank": [760, 1419, 1421, 1427, 1434], "is_chord": 760, "chordal_graph_cliqu": [760, 1421, 1434], "chordal_graph_treewidth": 760, "complete_to_chordal_graph": 760, "find_induced_nod": 760, "enumerate_all_cliqu": [760, 1404, 1415], "make_max_clique_graph": 760, "graph_clique_numb": [760, 1422], "graph_number_of_cliqu": 760, "node_clique_numb": [760, 1415], "number_of_cliqu": [760, 1415], "cliques_containing_nod": [760, 1415], "max_weight_cliqu": [760, 1421], "generalized_degre": 760, "equitable_color": [760, 1428], "strategy_connected_sequenti": 760, "strategy_connected_sequential_df": 760, "strategy_connected_sequential_bf": 760, "strategy_largest_first": 760, "strategy_random_sequenti": 760, "strategy_saturation_largest_first": [760, 1434], "semiconnected": 760, "k_core": [760, 1416], "k_shell": 760, "k_crust": [760, 1422], "k_truss": 760, "onion_lay": 760, "min_edge_cov": [760, 1426], "is_edge_cov": 760, "recursive_simple_cycl": 760, "find_cycl": [760, 1404, 1415, 1416, 1421, 1422], "minimum_cycle_basi": 760, "is_aperiod": 760, "transitive_closure_dag": 760, "transitive_reduct": [760, 1416], "antichain": [760, 1404, 1415], "resistance_dist": [760, 1423], "is_strongly_regular": 760, "immediate_domin": [760, 1404, 1415], "dominance_fronti": [760, 1404], "is_semieulerian": 760, "is_digraph": 760, "is_pseudograph": 760, "is_valid_degree_sequence_havel_hakimi": 760, "is_valid_degree_sequence_erdos_gallai": 760, "flow_hierarchi": 760, "is_isol": 760, "number_of_isol": 760, "could_be_isomorph": 760, "fast_could_be_isomorph": 760, "faster_could_be_isomorph": 760, "resource_allocation_index": 760, "jaccard_coeffici": 760, "adamic_adar_index": [760, 1420], "preferential_attach": 760, "cn_soundarajan_hopcroft": 760, "ra_index_soundarajan_hopcroft": 760, "within_inter_clust": 760, "common_neighbor_centr": [760, 1421, 1423], "tree_all_pairs_lowest_common_ancestor": 760, "is_match": [760, 1422, 1423], "is_perfect_match": 760, "maximal_match": [760, 1416], "maximal_independent_set": [760, 1429], "non_random": 760, "harmonic_funct": [760, 772], "local_and_global_consist": 760, "symmetric_differ": 760, "full_join": [760, 1170], "compose_al": 760, "union_al": 760, "intersection_al": 760, "cartesian_product": 760, "lexicographic_product": 760, "rooted_product": 760, "strong_product": 760, "tensor_product": [760, 1416], "corona_product": 760, "combinatorial_embedding_to_po": 760, "tutte_polynomi": 760, "chromatic_polynomi": 760, "overall_reciproc": 760, "is_regular": [760, 1421], "is_k_regular": 760, "k_factor": 760, "rich_club_coeffici": 760, "average_shortest_path_length": [760, 1407, 1408, 1420], "simrank_similar": [760, 1421, 1422], "panther_similar": 760, "generate_random_path": 760, "all_simple_edge_path": 760, "is_simple_path": [760, 1434], "shortest_simple_path": [760, 1417], "random_refer": [760, 1434], "lattice_refer": [760, 1423, 1434], "s_metric": 760, "sparsifi": [760, 788, 1331], "spanner": 760, "effective_s": 760, "double_edge_swap": [760, 1415, 1434], "directed_edge_swap": [760, 1434], "connected_double_edge_swap": [760, 1415, 1434], "find_threshold_graph": 760, "is_threshold_graph": 760, "hamiltonian_path": [760, 1422], "is_reach": 760, "is_tourna": [760, 791], "random_tourna": [760, 1422], "score_sequ": 760, "triadic_censu": [760, 1280, 1404, 1422], "random_triad": [760, 1434], "triads_by_typ": 760, "triad_typ": 760, "is_triad": 760, "all_triad": 760, "all_triplet": 760, "closeness_vit": 760, "voronoi_cel": 760, "simplest": [762, 764], "vf2pp_is_isomorph": 762, "vf2pp_isomorph": 762, "vf2pp_all_isomorph": 762, "counterpart": [762, 793, 1414, 1423], "rariti": 762, "promis": 762, "unfruit": 762, "verif": [762, 764], "j\u00fcttner": 762, "alp\u00e1r": 762, "madarasi": 762, "242": 762, "dam": 762, "aho": 762, "ullman": 762, "homework": 762, "mcgill": 762, "308": 762, "250b": 762, "winter": 762, "matthew": [762, 1416, 1419, 1422], "suderman": 762, "crypto": 762, "crepeau": 762, "cs250": 762, "hw5": 762, "isomorphisms_it": 763, "120": 763, "largest_common_subgraph": 763, "ismags2": 763, "maximum_common_induced_subgraph": 763, "digraphmatch": 764, "predetermin": 764, "semantic_feas": 764, "gm": 764, "digm": 764, "adverb": 764, "luigi": 764, "pasqual": 764, "mario": [764, 1422], "1367": 764, "1372": 764, "oct": 764, "iel5": 764, "29305": 764, "01323804": 764, "syntactic_feas": 764, "graph_minor": 769, "unari": [774, 1426], "charpoli": 777, "k_4": 777, "sparsematrix": 777, "as_expr": 777, "quantiti": 784, "world_network": 784, "simplif": 788, "sparsif": 788, "supergraph": 788, "superedg": 788, "proxim": 788, "lossi": 788, "lossless": 788, "expens": [788, 1150], "mdl": 788, "unimport": 788, "scarc": 788, "mostli": [788, 1402, 1415], "caller": [791, 1302], "subfield": 793, "adject": 793, "bur": 793, "unroot": 793, "to_networkx_graph": [798, 933, 979, 1040, 1042, 1043, 1044, 1421], "grown": [798, 1040, 1042, 1043, 1160, 1194, 1229, 1233, 1436], "2pm": [798, 1040, 1042, 1043, 1403, 1436], "room": [798, 1040, 1042, 1043, 1403, 1436], "714": [798, 1040, 1042, 1043, 1403, 1436], "bracket": [798, 949, 995, 1040, 1042, 1043], "shortcut": [798, 1040, 1042, 1043, 1231, 1239, 1247], "nbrsdict": [798, 1040, 1042, 1043, 1332], "eattr": [798, 1040, 1042, 1043, 1436], "miscellan": [798, 1040, 1042, 1043, 1401, 1412], "node_dict": [798, 1040, 1042, 1043], "adjlist_dict": [798, 1040, 1042, 1043], "edge_attr_dict": [798, 1040, 1042, 1043], "factori": [798, 1040, 1041, 1042, 1043, 1425, 1430], "node_dict_factori": [798, 1040, 1042, 1043], "node_attr_dict_factori": [798, 1040, 1042, 1043, 1419], "adjlist_inner_dict_factori": [798, 1040, 1042, 1043], "adjlist_outer_dict_factori": [798, 1040, 1042, 1043, 1416], "graph_attr_dict_factori": [798, 1040, 1042, 1043], "inherit": [798, 1040, 1042, 1043, 1300, 1416], "facilit": [798, 1040, 1042, 1043, 1436], "to_directed_class": [798, 1040, 1042, 1043], "to_undirected_class": [798, 1040, 1042, 1043], "atlasview": [851, 896, 917, 932, 978, 999, 1015, 1021, 1101, 1103, 1104, 1436], "multigraph_input": [933, 979, 1042, 1043, 1094, 1100, 1422], "u_for_edg": [936, 982], "v_for_edg": [936, 982], "new_edge_kei": [936, 937, 982, 983], "assigned_kei": [937, 983], "edgekei": [941, 963, 972, 987, 1416, 1422], "dimultidegreeview": 946, "outmultiedgeview": [948, 962, 965], "inmultiedgeview": 953, "inmultiedgedataview": 953, "gefault": [958, 1002], "noth": [961, 1088, 1089, 1416], "key_list": [965, 1005], "edgesdict": 987, "multidegreeview": 992, "multiedgedataview": 994, "dispatch": 1014, "multiadjacencyview": [1015, 1016], "adjacencyview": [1016, 1021, 1042, 1043], "node_ok": [1017, 1018, 1019, 1020], "edge_ok": [1017, 1019, 1020], "unionatla": [1022, 1024, 1025], "middl": [1022, 1041, 1057], "unionmultiadjac": [1022, 1023, 1025], "atlas": 1023, "unionadjac": [1023, 1024, 1025], "multiadjac": [1024, 1025], "unionmultiinn": 1024, "filter_nod": [1039, 1091], "no_filt": [1039, 1091], "filter_edg": [1039, 1091], "cross_m": [1039, 1091], "ye": 1041, "temporarili": [1041, 1417], "morph": [1041, 1332], "_graph": 1041, "graphview": [1041, 1413, 1418, 1420, 1422], "disrupt": [1041, 1414], "harder": 1041, "restricted_view": [1041, 1064, 1422], "graphbla": [1041, 1428, 1434], "plugin": [1041, 1434], "regist": 1041, "entry_point": 1041, "handler": 1041, "networkx_plugin_spars": 1041, "__networkx_plugin__": 1041, "wrappedspars": 1041, "assist": 1041, "networkx_graph_convert": 1041, "convert_from_nx": 1041, "convert_to_nx": 1041, "xfail": [1041, 1423], "failur": [1041, 1420, 1422, 1423, 1428, 1429, 1431], "on_start_test": 1041, "282": 1042, "edge_key_dict_factori": [1042, 1043], "datafram": [1044, 1100, 1102, 1103, 1106, 1107, 1404, 1415, 1416, 1421], "dedic": 1045, "cytoscap": [1045, 1367, 1368, 1416, 1422, 1434], "gephi": [1045, 1347], "typeset": 1045, "pgf": 1045, "export": [1045, 1390, 1420], "write_graphml": [1045, 1392, 1420], "to_pydot": [1045, 1130, 1417], "from_pydot": 1045, "erocarrera": 1045, "random_layout": [1045, 1145, 1334, 1417], "tex": [1045, 1127, 1423, 1434], "to_latex": [1045, 1128, 1129, 1434], "caption": [1045, 1127, 1129], "to_latex_raw": [1045, 1127], "write_latex": [1045, 1127, 1128, 1434], "filnam": 1045, "subfigur": [1045, 1127, 1129], "subcapt": [1045, 1127], "latex_label": [1045, 1127, 1129], "sub_label": [1045, 1127], "tikzpictur": [1045, 1127, 1128, 1129], "just_my_figur": 1045, "as_docu": [1045, 1127, 1129, 1434], "my_figur": 1045, "fig1": 1045, "latex_cod": [1045, 1127, 1128], "1st": [1045, 1217], "latex_graph": 1045, "pdflatex": 1045, "lbl": 1045, "fig2a": 1045, "fig2b": 1045, "fig2c": 1045, "fig2d": 1045, "subfig": 1045, "n_row": [1045, 1127, 1129], "sub_capt": [1045, 1127, 1129], "edge_opt": [1045, 1127, 1128, 1129], "documentclass": [1045, 1127], "usepackag": [1045, 1127], "707": 1045, "preambl": [1045, 1127, 1129], "postambl": 1045, "figure_wrapp": [1045, 1127, 1129], "document_wrapp": [1045, 1127, 1129], "subfigure_wrapp": [1045, 1127, 1129], "nx_layout": 1045, "_document_wrapp": 1045, "seriou": [1046, 1403], "pointless": 1046, "georg": [1046, 1420, 1434], "unexpect": [1046, 1284, 1285, 1337, 1340], "intermediari": 1046, "exceededmaxiter": [1046, 1171, 1331], "num_iter": 1046, "kw": 1046, "sig": [1048, 1050, 1302], "wrapped_nam": [1048, 1302], "mangl": 1048, "mangled_nam": 1048, "exec": [1048, 1302], "mapblock": [1048, 1302], "mutable_arg": [1048, 1302], "_code": 1049, "fictiti": 1049, "namedtupl": 1050, "def_sig": 1050, "call_sig": 1050, "n_posit": 1050, "var_posit": 1050, "thesearg": 1050, "var_keyword": 1050, "elt": [1052, 1053, 1054], "prioriti": [1052, 1054, 1308, 1401, 1415], "g_to_add_to": [1055, 1056, 1057], "nodes_for_cycl": 1055, "nodes_for_path": 1056, "nodes_for_star": 1057, "cnbor": 1059, "with_data": 1060, "luckili": [1064, 1413], "programmat": [1064, 1085], "is_frozen": [1066, 1403], "unfreez": 1066, "frozen_graph": 1066, "unfrozen_graph": 1066, "frozen": [1066, 1072, 1434], "freez": [1072, 1331, 1403, 1434], "signifi": [1073, 1075], "number_of_selfloop": [1078, 1087, 1402, 1413, 1416, 1420], "selfloop": [1083, 1087, 1179, 1185, 1292, 1413, 1416], "nloop": 1083, "nodes_with_selfloop": [1083, 1087, 1402, 1413, 1416, 1420], "edge_subgraph": [1085, 1413], "datavalu": 1087, "attrnam": 1087, "edgeit": 1087, "bb": [1088, 1089], "attr1": [1088, 1089], "attr2": [1088, 1089], "dod": [1094, 1097], "dol": 1095, "from_dict_of_dict": [1097, 1100], "to_dict_of_list": 1097, "innermost": 1097, "lost": 1097, "dict_of_dict": 1100, "dict_of_dict_of_list": 1100, "parallel_edg": [1101, 1104], "to_numpy_arrai": [1101, 1287, 1291, 1292, 1293, 1294, 1295, 1297, 1299, 1395, 1414, 1420, 1423, 1425], "compound": [1101, 1102], "dt": 1101, "to_pandas_adjac": [1102, 1416, 1417], "max_column": [1102, 1103, 1106], "iterrow": 1103, "my_edge_kei": 1103, "ey": 1104, "csr_arrai": [1104, 1286], "multigraph_weight": [1105, 1106], "adjaceni": 1105, "multidimension": [1105, 1284, 1415], "wise": [1105, 1284, 1414], "array_lik": 1105, "undesir": [1105, 1106, 1306], "diag_indices_from": [1105, 1106], "clearer": [1105, 1421], "differenti": 1105, "setdiag": [1108, 1287], "aspect_ratio": 1109, "straight": [1109, 1112], "gnmk_random_graph": 1109, "kamada": [1111, 1138, 1417], "kawai": [1111, 1138, 1417], "complete_multipartite_graph": 1112, "interv": [1114, 1171, 1205, 1212, 1331], "determinist": [1114, 1120, 1122, 1123, 1126, 1334], "rescal": [1115, 1120, 1415], "rescale_layout_dict": [1115, 1421, 1423], "rescale_layout": [1116, 1423], "concentr": [1117, 1155], "radian": 1117, "ascend": 1118, "equidist": [1119, 1423], "spiral": [1119, 1420], "fruchterman": [1120, 1403, 1415, 1416], "reingold": [1120, 1403, 1415, 1416], "repel": [1120, 1407], "anti": 1120, "graviti": 1120, "equilibrium": 1120, "fly": [1120, 1415], "farther": 1120, "fruchterman_reingold_layout": [1120, 1422], "pygraphviz_layout": 1122, "1767": [1122, 1123, 1126], "node_po": 1123, "1568": [1123, 1132], "h_layout": [1123, 1132], "g_layout": [1123, 1132], "gbunch": [1127, 1129], "tikz_opt": [1127, 1128, 1129], "default_node_opt": [1127, 1128, 1129], "default_edge_opt": [1127, 1128, 1129], "edge_label_opt": [1127, 1128, 1129], "tikz": [1127, 1128, 1129, 1434], "textwidth": 1127, "latex": [1127, 1128, 1129, 1331, 1421, 1422, 1434], "envion": [1127, 1129], "slope": [1127, 1128, 1129], "referr": [1127, 1129], "sub_latex_label": [1127, 1129], "enclos": 1128, "fdp": [1131, 1132], "sfdp": [1131, 1132], "circo": [1131, 1132], "pydot_layout": 1131, "laid": 1132, "_except_": 1133, "kwd": [1136, 1139, 1415, 1417, 1421, 1428], "bewar": 1136, "auto_exampl": [1136, 1139, 1140, 1141, 1142, 1143, 1415], "linecollect": [1139, 1141, 1421, 1422, 1423], "bendabl": [1139, 1141], "stylish": [1139, 1141], "arrowshead": 1139, "mutation_scal": [1139, 1141], "1f78b4": [1139, 1143], "rgb": [1139, 1141, 1143], "rgba": [1139, 1141, 1143], "node_shap": [1139, 1141, 1143], "dph8": [1139, 1141, 1143], "border": [1139, 1143, 1417], "edge_vmin": [1139, 1141], "edge_vmax": [1139, 1141], "solid": [1139, 1141, 1251, 1268, 1269], "linestyl": [1139, 1141, 1421, 1423], "label_po": 1140, "verticalalign": [1140, 1142], "clip_on": [1140, 1142], "center_baselin": [1140, 1142], "connectionstyl": [1141, 1419], "arc3": 1141, "offset": [1141, 1154, 1219, 1300], "onoffseq": 1141, "curv": [1141, 1410, 1415, 1419], "rad": 1141, "gap": 1141, "edge_collect": 1141, "self_loop_fap": 1141, "autosc": 1143, "pathcollect": 1143, "shell_layout": [1146, 1420], "linearli": [1149, 1165], "wilson": [1149, 1150, 1223, 1418], "seven": 1150, "111223": 1150, "112222": 1150, "automorph": [1150, 1255], "graph_atla": 1150, "nondecreas": 1150, "001111": 1150, "000112": 1150, "1008": 1150, "3333444": 1150, "3333336": 1150, "1012": [1150, 1421], "1213": 1150, "1244555": 1150, "1244456": 1150, "perfectli": 1151, "m1": [1152, 1233, 1303], "m2": [1152, 1233, 1303], "extrem": [1152, 1163], "aldou": [1152, 1163], "leftmost": 1153, "circul": [1154, 1404, 1415], "ci_n": 1154, "x_1": 1154, "x_2": 1154, "x_m": 1154, "subfamili": 1154, "cl_n": 1155, "k_n": 1156, "tripartit": 1157, "c_n": 1158, "0112143": 1159, "unknown": 1160, "refit": 1160, "myweirdgraphclass": 1160, "firstli": 1160, "secondli": 1160, "resp": 1160, "thirdli": 1160, "mygraph": [1160, 1436], "create_empty_copi": 1160, "rightmost": 1161, "storer": 1161, "birkhaus": 1161, "boston": 1161, "k_m": 1163, "p_n": [1163, 1165], "etext": 1163, "turan": [1168, 1416], "cograph": [1170, 1331, 1420], "p_4": [1170, 1329], "corneil": [1170, 1329], "lerch": [1170, 1329], "stewart": [1170, 1329], "burlingham": [1170, 1329], "0166": [1170, 1329], "218x": [1170, 1329], "tau1": 1171, "tau2": 1171, "mu": [1171, 1422], "average_degre": 1171, "min_degre": 1171, "min_commun": 1171, "max_commun": 1171, "lfr": [1171, 1422], "reassign": [1171, 1213], "wire": 1171, "robust": 1171, "successfulli": 1171, "lancichinetti": 1171, "filippo": 1171, "radicchi": 1171, "046110": 1171, "santofortunato": 1171, "caveman": [1172, 1173, 1177], "connected_caveman_graph": [1172, 1178], "unclear": [1172, 1173, 1421], "watt": [1172, 1173, 1183, 1231, 1239, 1247, 1420], "amer": [1172, 1173], "493": [1172, 1173, 1308], "527": [1172, 1173], "caveman_graph": 1173, "p_in": [1174, 1175, 1176], "p_out": [1174, 1175, 1176], "varianc": 1174, "random_partition_graph": [1174, 1179], "marco": [1174, 1416, 1417], "gaertler": 1174, "11th": 1174, "europ": 1174, "plant": [1175, 1176], "random_partition_model": 1175, "condon": 1175, "algor": 1175, "116": 1175, "140": 1175, "februari": [1177, 1415, 1423], "num_cliqu": 1178, "clique_s": 1178, "ring": [1178, 1231, 1239, 1247], "stochast": [1179, 1276, 1331, 1418, 1434], "planted_partition_graph": 1179, "gaussian_random_partition_graph": 1179, "laskei": 1179, "leinhardt": 1179, "137": 1179, "prob": 1179, "450": 1179, "245": 1179, "348": 1179, "051": 1179, "022": 1179, "windmil": 1180, "wd": 1180, "poisson": 1181, "random_sequ": 1181, "hundr": [1181, 1192], "random_powerlaw_tree_sequ": 1181, "actual_degre": 1181, "in_degree_sequ": 1183, "out_degree_sequ": 1183, "directed_random": 1183, "strogatz": [1183, 1231, 1239, 1247, 1420], "026118": 1183, "din": 1183, "dout": 1183, "in_deg_sequ": 1184, "out_deg_sequ": 1184, "w_0": 1185, "w_1": 1185, "ldot": [1185, 1201], "w_u": [1185, 1199, 1204], "w_v": [1185, 1199, 1204], "w_k": 1185, "mathcal": 1185, "ne": 1185, "waw": [1185, 1199], "alan": 1185, "friez": 1185, "horn": 1185, "pawe\u0142": 1185, "pra\u0142at": 1185, "6732": 1185, "115": 1185, "resort": 1186, "d_m": 1187, "almost": 1187, "moshen": 1187, "bayati": 1187, "jeong": [1187, 1245], "amin": 1187, "860": 1187, "009": 1187, "9340": 1187, "krapivski": [1188, 1189, 1190, 1193, 1415], "redner": [1188, 1189, 1190, 1415], "066123": [1188, 1190], "a_k": 1188, "gnc": [1189, 1415], "growth": [1189, 1208, 1240], "036118": 1189, "2005k": 1189, "redirect": [1190, 1422], "gnr": [1190, 1415], "probabilii": 1190, "peterson": [1191, 1265, 1419], "pittel": 1191, "preprint": 1191, "1311": 1191, "5961": 1191, "delta_in": 1192, "delta_out": 1192, "initial_graph": [1192, 1229, 1233, 1422, 1429], "bia": 1192, "borg": 1192, "chay": 1192, "riordan": [1192, 1241], "132": [1192, 1210], "139": 1192, "retent": 1193, "replic": 1193, "ispolatov": 1193, "yuryev": 1193, "061911": 1193, "knudsen": 1194, "carsten": 1194, "wiuf": 1194, "1155": 1194, "190836": 1194, "mildli": [1196, 1404], "prime": [1196, 1198], "lubotzki": 1196, "birkh\u00e4us": 1196, "basel": 1196, "marguli": [1197, 1404], "gabber": [1197, 1404], "palei": [1198, 1421], "pz": 1198, "f_q": 1198, "bolloba": 1198, "theta": [1199, 1204], "p_dist": [1199, 1203, 1417], "ge": [1199, 1205], "prone": 1199, "conceiv": 1199, "rate": [1199, 1203, 1204], "expovari": [1199, 1204], "masuda": 1199, "miwa": 1199, "konno": 1199, "036108": 1199, "milan": 1199, "bradonji\u0107": 1199, "allon": 1199, "percu": 1199, "antoni": 1199, "bonato": 1199, "taxicab": [1199, 1205], "minkowski": [1200, 1202, 1203, 1204, 1429], "ckdtree": 1200, "32nd": 1201, "cube": [1202, 1203, 1204, 1251, 1268], "kdtree": [1202, 1203, 1204], "gauss": [1202, 1203, 1204], "penros": [1202, 1203], "mathew": [1202, 1203], "twenti": 1202, "soft": [1203, 1228], "986": 1203, "1028": 1203, "nodethr": 1204, "cole": [1204, 1417], "maclean": [1204, 1417], "waxman": [1205, 1407, 1415], "x_min": 1205, "y_min": 1205, "x_max": 1205, "y_max": 1205, "Their": [1205, 1334, 1416], "multipoint": 1205, "1617": 1205, "1622": 1205, "h_": [1206, 1207], "hnm_harary_graph": 1206, "hararygraph": 1206, "nat": [1206, 1207, 1326, 1327, 1329], "1146": [1206, 1207, 1329], "hkn_harary_graph": 1207, "satyanarayana": 1207, "suffel": 1207, "reliabl": [1207, 1284, 1285], "synthesi": 1207, "resembl": [1208, 1275, 1329], "autonom": [1208, 1329], "elmokashfi": 1208, "tier": 1208, "adv": 1208, "peer": 1208, "commerci": 1208, "kvalbein": 1208, "dovroli": 1208, "bgp": 1208, "1250": 1208, "1261": 1208, "uniform_random_intersection_graph": [1209, 1210], "nikoletsea": 1209, "raptopoulo": 1209, "spiraki": 1209, "icalp": 1209, "\u0131az": 1209, "karhum": 1209, "aki": 1209, "lepist": 1209, "sannella": 1209, "3142": 1209, "1029": 1209, "1040": 1209, "godehardt": 1210, "jaworski": 1210, "129": 1210, "singer": 1211, "hopkin": 1211, "scheinerman": 1211, "176": 1211, "min1": 1212, "max1": 1212, "nkk": [1213, 1214], "degree_seq": 1213, "correspondingli": [1213, 1216], "n_edges_add": 1213, "unsatur": 1213, "markopoul": [1213, 1214, 1215, 1216, 1275], "butt": [1213, 1214, 1275], "2k": [1213, 1214], "seconnd": 1214, "joint_degre": [1215, 1216], "joint_degree_graph": 1215, "kurant": 1215, "5k": 1215, "infocom": [1215, 1216, 1275], "stanton": 1215, "prescrib": 1215, "with_posit": [1219, 1221], "hexagon": [1219, 1269, 1329], "sidelength": [1219, 1221], "interleav": 1219, "hypercub": [1220, 1251], "triangular": [1221, 1268, 1329], "stagger": 1221, "equilater": [1221, 1269], "quadrant": 1221, "misalign": 1221, "roussopoulo": 1222, "r90abc5507a69": 1222, "p4": 1222, "root_graph": [1222, 1413, 1418], "argu": 1223, "superfici": 1223, "norman": 1223, "rend": 1223, "palermo": 1223, "ser": 1223, "161": 1223, "hemming": 1223, "1978": [1223, 1416], "academ": 1223, "271": 1223, "305": 1223, "n_th": 1224, "mycielski": [1224, 1225, 1331, 1417, 1423], "m_1": [1224, 1233], "m_2": [1224, 1233], "m_i": 1224, "mycielskian": [1224, 1329], "mycielskigraph": 1224, "p_2": 1224, "bigcup": 1225, "nonisomporph": 1226, "adjanc": 1226, "nonisomorph": [1227, 1404, 1415], "joint_degree_sequ": 1228, "epidem": 1228, "m0": [1229, 1233], "emerg": 1229, "286": 1229, "509": [1229, 1407, 1415], "512": 1229, "fast_gnp_random_graph": [1230, 1234, 1238, 1415, 1423], "publ": [1230, 1234, 1238], "290": [1230, 1234, 1238], "1959": [1230, 1234, 1238], "gilbert": [1230, 1234, 1238, 1419], "1141": [1230, 1234, 1238], "newman_watts_strogatz_graph": [1231, 1247, 1415], "watts_strogatz_graph": [1231, 1239, 1415, 1436], "duncan": [1231, 1247], "steven": [1231, 1247, 1326, 1327], "393": [1231, 1247], "440": [1231, 1247], "442": [1231, 1247], "mar": 1232, "seminumer": 1232, "oppos": 1233, "moshiri": [1233, 1419], "barabasi": [1233, 1415, 1419], "1810": 1233, "10538": 1233, "alber": 1235, "5234": [1235, 1423], "renorm": 1239, "263": 1239, "341": 1239, "s0375": 1239, "9601": 1239, "00757": 1239, "holm": 1240, "powerlaw": [1240, 1243], "tunabl": 1240, "kernel_integr": 1241, "kernel_root": 1241, "int_a": 1241, "brentq": 1241, "b\u00e9la": 1241, "janson": 1241, "inhomogen": 1241, "lemon": 1241, "e0135177": 1241, "0135177": 1241, "p1": 1242, "p2": 1242, "lobster": [1242, 1421], "caterpillar": 1242, "backbon": 1242, "vu": 1245, "steger": 1245, "wormald": 1245, "377": 1245, "396": 1245, "s0963548399003867": 1245, "thirti": 1245, "fifth": 1245, "diego": 1245, "213": 1245, "780542": 1245, "780576": 1245, "shift_list": 1248, "cubic": [1248, 1251, 1252, 1255, 1256, 1262, 1264, 1265, 1270], "lcf": [1248, 1250, 1252, 1254, 1256, 1262, 1264], "lederberg": 1248, "coxet": 1248, "frucht": [1248, 1255], "desargues_graph": 1248, "heawood_graph": 1248, "pappus_graph": 1248, "sk": 1248, "v_current": 1248, "shiftlist": 1248, "heawood": [1248, 1256], "lcfnotat": 1248, "bull": 1249, "pendant": 1249, "leg": 1249, "chv\u00e1tal": 1250, "chv": 1250, "c3": [1250, 1262, 1263], "a1tal_graph": 1250, "chvatalgraph": 1250, "skeleton": [1251, 1254, 1268, 1269], "desargu": 1252, "desarguesgraph": 1252, "kite": [1253, 1261], "diamondgraph": 1253, "dodecahedr": 1254, "dodecahedron": 1254, "regular_dodecahedron": 1254, "dodecahedralgraph": 1254, "fruchtgraph": 1255, "cage": [1256, 1257], "perci": 1256, "girth": [1256, 1257], "heawoodgraph": 1256, "tue": [1256, 1265], "aeb": [1256, 1265], "hoffman": [1257, 1416], "pentagon": 1257, "pentagram": 1257, "p_h": 1257, "q_i": 1257, "visualinsight": 1257, "singletongraph": 1257, "93singleton_graph": 1257, "housegraph": [1258, 1259], "pentatop": 1259, "icosahedron": 1260, "icosahedralgraph": 1260, "tradit": [1261, 1436], "beverlei": 1261, "dian": 1261, "fernando": 1261, "garth": 1261, "heather": 1261, "ik": 1261, "jane": 1261, "landscap": 1261, "cognit": 1261, "administr": 1261, "quarterli": [1261, 1403], "2393394": 1261, "jstor": 1261, "moebiu": 1262, "kantor": 1262, "m\u00f6biu": 1262, "b6biu": 1262, "93kantor_graph": 1262, "octahedron": 1263, "parti": 1263, "shake": [1263, 1430], "hi": [1263, 1273, 1329], "partner": 1263, "handshak": 1263, "cocktail": 1263, "octahedralgraph": 1263, "tur": 1263, "a1n_graph": 1263, "special_cas": 1263, "pappu": 1264, "juliu": 1265, "bridgeless": 1265, "colour": 1265, "drg": 1265, "maze": 1266, "tetrahedr": 1267, "k4": 1267, "w4": 1267, "grpah": 1267, "tetrahedron": [1267, 1269, 1270], "truncat": [1268, 1269, 1270, 1275], "archimedean": [1268, 1269], "octagon": 1268, "tip": 1268, "truncated_cub": 1268, "coolmath": 1268, "polyhedra": 1268, "truncated_tetrahedron": 1269, "polyhedr": 1270, "tait": 1270, "polyhedron": 1270, "gardner": 1271, "1941": 1271, "south": 1271, "florentin": [1272, 1407, 1415], "breiger": 1272, "philippa": 1272, "pattison": 1272, "cumul": [1272, 1320, 1321, 1415], "dualiti": 1272, "septemb": [1272, 1415, 1416, 1418], "mr": [1273, 1277, 1329], "wayn": 1273, "coappear": 1274, "novel": 1274, "miser": [1274, 1393, 1419], "sgf": 1275, "eigenstructur": 1275, "synthes": 1275, "realist": 1275, "anonym": 1275, "leverag": 1275, "telecommun": [1275, 1415], "bernoulli": 1275, "1801": 1275, "01715": 1275, "reweight": 1276, "sudoku": [1277, 1331, 1421], "sud": 1277, "herzberg": [1277, 1329], "708": [1277, 1329], "717": [1277, 1329], "sander": [1277, 1329], "torsten": [1277, 1329], "7pp": [1277, 1329], "2529816": [1277, 1329], "glossari": [1277, 1329, 1331], "encyclopedia": [1277, 1329], "81": [1277, 1329], "810": 1277, "nil": [1278, 1422], "downward": 1278, "synthet": 1278, "triad_nam": 1280, "tracemin_pcg": [1281, 1282, 1283], "tracemin": [1281, 1282, 1283], "lanczo": [1281, 1282, 1283], "precondit": [1281, 1282, 1283, 1416], "conjug": [1281, 1282, 1283], "gradient": [1281, 1282, 1283], "tracemin_lu": [1281, 1282, 1283, 1422], "fiedler": [1282, 1283, 1333, 1411, 1415], "32864129": 1282, "26072899": 1282, "rc_order": [1284, 1285], "col": [1284, 1285], "thick": [1284, 1285], "66666667": [1284, 1285], "matirx": 1285, "beth": [1286, 1296, 1331, 1420], "hessian": [1286, 1296, 1331, 1420], "parametr": [1286, 1421, 1422, 1423, 1425], "r_m": 1286, "bethe_hessian_spectrum": 1286, "saad": [1286, 1296], "krzakala": [1286, 1296], "zdeborov\u00e1": [1286, 1296], "levina": 1286, "1507": 1286, "00827": 1286, "havel_hakimi_graph": [1286, 1294], "5625": [1286, 1426], "to_scipy_sparse_arrai": [1287, 1395, 1423], "to_dict_of_dict": [1287, 1422], "gil": 1288, "videolectur": 1288, "mit18085f07_strang_lec03": 1288, "elsewher": [1289, 1290, 1387], "cheeger": [1289, 1290], "laplacian_spectrum": [1291, 1434], "normalized_laplacian_spectrum": 1292, "diag": 1292, "graham": [1292, 1418], "steve": [1292, 1421], "butler": 1292, "interlac": 1292, "98": 1292, "b_ij": [1293, 1294], "aij": [1293, 1294], "modularity_spectrum": [1293, 1294], "modularity_matrix": [1293, 1298, 1404], "a_ij": 1293, "leicht": [1293, 1418], "118703": 1293, "directed_modularity_matrix": 1294, "8577": [1294, 1298], "8582": [1294, 1298], "eval": [1295, 1296, 1297, 1298, 1299], "bethe_hessian_matrix": [1296, 1425], "try_fin": 1302, "open_fil": 1302, "nodes_or_numb": [1302, 1426], "require_partit": 1302, "__doc__": 1302, "lazili": [1302, 1428, 1430], "__call__": [1302, 1434], "my_decor": 1302, "thin": 1302, "thinli": 1302, "_lazy_compil": 1302, "assembli": 1302, "sig_def": 1302, "sig_cal": 1302, "mutat": [1302, 1421], "indent": [1302, 1347, 1350, 1361, 1364], "_name": [1302, 1415], "_count": 1302, "session": [1302, 1334], "_flatten": 1302, "_indent": 1302, "newa": 1302, "newb": 1302, "newc": 1302, "currenc": 1302, "monei": 1302, "convert_to": 1302, "us_dollar": 1302, "show_me_the_monei": 1302, "which_arg": [1302, 1303], "_convert": 1302, "to_curr": 1302, "xlist": 1302, "zlist": 1302, "sugar": 1302, "some_func": 1302, "variad": 1302, "fn": [1302, 1421, 1423], "close_fil": 1302, "my_closing_decor": 1302, "_open": 1302, "fclose": 1302, "fancy_read": 1302, "file_to_lin": 1302, "file_to_lines_wrap": 1302, "file_to_lines_wrapp": 1302, "file_to_lines_whoop": 1302, "any_list_of_nod": 1303, "_nodes_or_numb": 1303, "full_rary_tre": 1303, "graph_typ": 1304, "_requir": 1304, "sp_function": 1304, "sp_np_function": 1304, "random_state_argu": [1305, 1307], "glocal": 1305, "_random_st": [1305, 1307], "random_float": [1305, 1307], "rand": [1305, 1307], "random_arrai": [1305, 1307], "path_arg": 1306, "_open_fil": 1306, "cleanli": 1306, "some_funct": 1306, "arg1": 1306, "arg2": 1306, "fobj": 1306, "tempfil": [1306, 1358, 1360, 1384, 1386], "namedtemporaryfil": [1306, 1358, 1360, 1384, 1386], "blah": 1306, "exit": [1306, 1416], "read_funct": 1306, "pathnam": 1306, "write_funct": 1306, "another_funct": 1306, "equiv": 1307, "mimic": 1307, "heapq": [1308, 1415], "_siftup": 1308, "_siftdown": 1308, "cormen": 1308, "leiserson": 1308, "rivest": 1308, "stein": 1308, "colors_nm": 1308, "665": 1308, "470": 1308, "550": [1308, 1407, 1415], "425": 1308, "916": 1308, "4609": 1308, "1117": 1308, "peek": 1309, "consum": [1309, 1422, 1434], "edges1": 1313, "edges2": 1313, "many_to_on": 1316, "nodes1": 1318, "nodes2": 1318, "s0": 1319, "cdistribut": 1321, "xmin": 1325, "zipf": 1325, "zeta": 1325, "hurwitz": 1325, "luc": 1325, "devroy": 1325, "peripher": [1326, 1327], "24th": [1326, 1327], "172": 1326, "800195": [1326, 1327], "805928": [1326, 1327], "skiena": [1326, 1327], "smallest_degre": [1326, 1327], "cuthill_mckee_ord": 1327, "triangular_lattice_graph": 1329, "hexagonal_lattice_graph": 1329, "hex": 1329, "wright": 1329, "richmond": 1329, "odlyzko": 1329, "mckai": 1329, "wrom": 1329, "puzzl": 1329, "9x9": 1329, "3x3": 1329, "iterat": 1330, "multilin": [1331, 1375, 1376, 1378, 1392], "gexf": [1331, 1347, 1348, 1349, 1350, 1392, 1406, 1407, 1410, 1415, 1416, 1419, 1420, 1421, 1423], "leda": [1331, 1373, 1374, 1392, 1415, 1436], "sparsegraph6": [1331, 1392], "pajek": [1331, 1379, 1380, 1381, 1382, 1392, 1403, 1407, 1410, 1415, 1416], "market": [1331, 1392, 1422], "stage": [1332, 1436], "camelcas": 1332, "capit": 1332, "lower_case_underscor": 1332, "underscor": [1332, 1356], "repetit": 1332, "degrad": 1332, "datastructur": [1332, 1423, 1434], "imagin": 1332, "clever": 1332, "anyth": [1332, 1335, 1396], "e_color": 1332, "jokingli": 1332, "centric": 1332, "realli": 1332, "zone": 1332, "excel": 1332, "gui": [1332, 1422, 1434], "scatterplot": 1332, "subax1": [1332, 1436], "121": [1332, 1436], "subax2": [1332, 1436], "hire": [1332, 1436], "footnot": 1332, "deform": 1333, "mersenn": 1334, "twister": 1334, "danger": [1334, 1413, 1436], "debug": 1334, "246": 1334, "4812": [1334, 1422], "discard": 1334, "sklearn": 1334, "richer": 1334, "meaningfulli": [1335, 1336, 1396], "write_adjlist": [1337, 1339, 1341, 1392], "read_adjlist": [1337, 1338, 1340, 1341, 1392], "filehandl": [1339, 1340, 1355, 1356], "read_weighted_edgelist": [1342, 1346, 1392], "write_weighted_edgelist": [1344, 1345, 1392], "14159": [1344, 1403], "prettyprint": [1347, 1350, 1361, 1364], "2draft": [1347, 1348, 1350], "gefx": [1347, 1348, 1389], "schema": [1347, 1348, 1350, 1389], "1draft": [1347, 1348], "linefe": [1347, 1361, 1362], "chr": [1347, 1361, 1362], "pid": 1349, "viz": 1350, "stringiz": [1351, 1354, 1355, 1356, 1390, 1421, 1423], "newlin": [1351, 1357, 1359, 1360, 1385, 1416], "ascii": [1351, 1354, 1355, 1356, 1387, 1388, 1390, 1398, 1416], "iso8859": [1351, 1354, 1355, 1356, 1390], "destring": [1351, 1354, 1355, 1356, 1390, 1422], "liter": [1352, 1353], "quot": [1353, 1415], "unprint": 1353, "byte": [1353, 1357, 1359, 1385], "write_gml": [1354, 1355, 1392, 1417, 1422, 1436], "read_gml": [1354, 1356, 1392, 1415, 1422, 1436], "generate_gml": [1356, 1392, 1421], "bytes_in": 1357, "graph6": [1357, 1358, 1359, 1360, 1385, 1392, 1411, 1415, 1416, 1425], "trail": [1357, 1421], "ord": 1357, "127": 1357, "read_graph6": [1357, 1359, 1360], "write_graph6": [1357, 1358, 1417], "cec": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "anu": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "au": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "bdm": [1357, 1358, 1359, 1360, 1383, 1384, 1385, 1386], "from_graph6_byt": [1358, 1359, 1360, 1421], "header": [1359, 1360, 1385, 1386, 1410, 1415, 1432], "write_graph6_byt": 1359, "named_key_id": [1361, 1364], "edge_id_from_attribut": [1361, 1364], "unset": [1361, 1364], "hyperedg": [1361, 1364, 1391], "graphml_str": 1362, "edge_key_typ": [1362, 1363], "force_multigraph": [1362, 1363, 1421], "default_color": [1362, 1363], "node_default": [1362, 1363], "edge_default": [1362, 1363], "generate_graphml": [1362, 1392], "yed": [1363, 1406, 1410, 1415, 1422], "yfile": 1363, "shape_typ": 1363, "graphmlz": 1363, "infer_numeric_typ": 1364, "write_graphml_lxml": [1364, 1420], "fourpath": 1364, "adjacency_graph": [1365, 1392], "tree_data": [1365, 1366, 1369, 1370, 1372, 1392, 1422], "adjacency_data": [1366, 1369, 1370, 1371, 1372, 1392], "cyj": [1367, 1368], "cytoscape_graph": [1367, 1392, 1422], "conform": 1368, "cytoscape_data": [1368, 1392], "data_dict": 1368, "compli": 1369, "gn_graph": 1369, "revert": [1370, 1405, 1420, 1422, 1423, 1429, 1434], "deseri": [1370, 1422], "tree_graph": [1371, 1392, 1422], "leda_guid": [1373, 1374, 1394], "leda_native_graph_fileformat": [1373, 1374, 1394], "write_multiline_adjlist": [1375, 1377, 1392], "read_multiline_adjlist": [1375, 1378, 1392], "frodo": 1376, "saruman": 1376, "drawep": [1379, 1381, 1382, 1397], "read_pajek": [1380, 1392], "write_pajek": [1381, 1392], "sparse6": [1383, 1384, 1385, 1386, 1392, 1411, 1415, 1416, 1417, 1425], "read_sparse6": [1383, 1385, 1386], "write_sparse6": 1383, "from_sparse6_byt": [1384, 1386], "write_sparse6_byt": 1385, "max_depth": [1387, 1388], "ascii_onli": [1387, 1388], "ellipsi": [1387, 1388], "5602": 1387, "backref": 1387, "wrt": 1387, "underneath": 1387, "attribt": [1387, 1388], "characat": 1388, "parser": [1389, 1391, 1404, 1415], "insecur": [1389, 1391], "born": 1390, "graphlet": 1390, "editor": 1390, "overtaken": 1390, "graphdraw": 1391, "primer": 1391, "parse_adjlist": 1392, "parse_multiline_adjlist": 1392, "generate_multiline_adjlist": 1392, "read_gexf": 1392, "write_gexf": 1392, "generate_gexf": 1392, "relabel_gexf_graph": 1392, "read_graphml": 1392, "parse_graphml": 1392, "read_leda": 1392, "parse_leda": 1392, "parse_pajek": [1392, 1416], "generate_pajek": 1392, "generate_network_text": 1392, "serializ": 1393, "d3j": 1393, "bl": 1393, "ock": 1393, "mbostock": 1393, "4062045": 1393, "4063550": 1393, "bost": 1393, "nist": 1395, "mmread": 1395, "mmwrite": 1395, "coo_matrix": 1395, "getvalu": 1395, "matrixmarket": 1395, "0000000000000000e": 1395, "from_scipy_sparse_arrai": [1395, 1423], "printabl": 1398, "make_list_of_int": [1401, 1420, 1422], "trac": [1402, 1403, 1406, 1407, 1408, 1409, 1415], "timelin": [1402, 1415], "api_chang": [1402, 1403, 1415], "simplic": [1402, 1415], "xgraph": [1402, 1415], "xdigraph": [1402, 1415], "labeledgraph": [1402, 1415], "labeleddigraph": [1402, 1415], "subdirectori": [1402, 1415], "draw_graphviz": [1402, 1415, 1416], "penultim": 1402, "clariti": 1402, "redesign": 1402, "corrupt": [1402, 1413], "adjacency_dict": [1402, 1436], "fcn": 1402, "pointer": [1402, 1413], "rare": [1402, 1417], "mileston": [1403, 1406, 1409, 1415], "dev1379": 1403, "rc1": 1403, "schedul": [1403, 1434], "roughli": 1403, "defect": [1403, 1423, 1434], "africa": 1403, "g_shallow": 1403, "g_deep": 1403, "d_shallow": 1403, "d_deep": 1403, "has_neighbor": 1403, "has_edg": 1403, "stochastic_graph": 1403, "writer": [1403, 1404, 1407, 1415, 1421], "1415": [1403, 1404, 1436], "harmonic_centr": [1404, 1415, 1422], "hopcraft": [1404, 1415], "pypars": [1404, 1415, 1423], "kaneski": [1404, 1415], "longest_path": [1404, 1415], "1501": 1404, "1547": 1404, "func_it": 1404, "slate": 1404, "823": 1404, "nonmaxim": 1404, "1105": 1404, "1193": 1404, "1194": 1404, "1210": 1404, "1241": 1404, "1269": 1404, "1280": 1404, "1286": 1404, "1306": 1404, "1314": 1404, "orderedgraph": [1404, 1416, 1434], "1321": 1404, "to_pandas_datafram": [1404, 1416, 1417], "from_pandas_datafram": [1404, 1416, 1417], "1322": 1404, "1336": 1404, "1338": 1404, "1340": 1404, "1354": 1404, "1356": 1404, "1360": 1404, "1390": 1404, "1391": 1404, "1399": 1404, "1405": 1404, "1413": 1404, "1425": 1404, "1427": 1404, "1436": 1404, "1437": 1404, "1438": 1404, "longest_path_length": 1404, "1439": 1404, "1447": 1404, "simple_path": [1404, 1416, 1434], "1455": 1404, "1474": 1404, "1476": 1404, "is_weight": 1404, "is_negatively_weight": 1404, "is_empti": 1404, "1481": 1404, "1414": 1404, "1236": 1404, "ford_fulkerson": [1404, 1411], "1192": 1404, "januari": [1405, 1406, 1415, 1417, 1434], "pydotplu": [1405, 1415], "appveyor": [1405, 1415, 1420, 1431, 1434], "autosummari": [1405, 1415, 1416, 1426], "1750": 1405, "defaul": 1405, "1924": 1405, "1888": 1405, "python3": [1405, 1416], "1763": 1405, "istal": 1405, "doc_str": [1405, 1434], "ticket": [1407, 1408, 1409, 1415], "weighted_edg": 1407, "edge_bewteeness_centr": 1407, "betweeness_centrality_subset": 1407, "edge_betweenness_centrality_subset": 1407, "betweenness_centrality_sourc": [1407, 1421, 1434], "closness_vit": 1407, "weiner_index": 1407, "spectral_bipart": 1407, "current_flow_betweenness_centrality_subset": [1407, 1416], "edge_current_flow_betweenness_centrality_subset": [1407, 1416], "normalized_laplacian": 1407, "adj_matrix": [1407, 1415, 1422, 1434], "single_source_dijkstra_path_bas": 1407, "astar_path_length": 1407, "verbos": 1407, "507": [1407, 1415], "535": [1407, 1415], "502": [1407, 1415], "524": [1407, 1415], "542": [1407, 1415], "526": [1407, 1415], "546": [1407, 1415], "mishandl": [1407, 1415], "554": [1407, 1415], "555": [1407, 1415], "573": 1408, "to_scipy_sparse_matrix": [1408, 1416, 1421, 1423], "neighbor_degre": [1408, 1422], "weightedgraphmatch": 1408, "weighteddigraphmatch": 1408, "weightedmultigraphmatch": 1408, "weightedmultidigraphmatch": 1408, "categroical_multiedge_match": 1408, "generic_edge_match": 1408, "generic_multiedge_match": [1408, 1416], "throughout": 1408, "average_in_degree_connect": 1408, "average_out_degree_connect": 1408, "average_neighbor_in_degre": 1408, "average_neighbor_out_degreei": 1408, "untest": 1409, "bipartite_random_regular_graph": 1409, "l1": [1410, 1415], "troublesom": [1410, 1415], "goldberg": [1411, 1415], "radzik": [1411, 1415], "rewrot": [1411, 1416], "flow_fulkerson": 1411, "max_flow": 1411, "min_cut": 1411, "inapplic": 1411, "capacity_sc": 1411, "connecit": 1411, "10x": 1411, "auxuliari": 1411, "aux_digraph": 1411, "all_pairs_node_connectiviy_matrix": 1411, "disperson": 1411, "non_edg": 1411, "nonexist": 1411, "algebraic_connect": [1411, 1434], "fiedler_vector": [1411, 1417, 1433], "spectral_ord": 1411, "link_predict": [1411, 1420], "goldberg_radzik": 1411, "temporari": [1411, 1416, 1421, 1423, 1430], "connected_components_subgraph": [1411, 1415], "jython": [1411, 1422], "ironpython": [1411, 1415, 1422], "breakag": 1412, "unreleas": 1412, "prepare_nbunch": 1412, "edges_it": 1413, "catalog": 1413, "genexpr": 1413, "in_deg": 1413, "nx1": 1413, "nx2": [1413, 1423], "dict_keyiter": 1413, "digraphview": [1413, 1418, 1420], "path1": 1413, "path2": 1413, "reversedgraph": 1413, "fresh_copi": [1413, 1416, 1418, 1419, 1420], "_iter": 1413, "envis": 1413, "hack": [1413, 1426], "hoc": 1413, "debt": 1414, "tighter": 1414, "funtion": 1414, "recarrai": 1414, "departur": 1414, "broadcast": 1414, "boilerpl": [1414, 1421], "spmatrix": 1414, "_sparrai": 1414, "to_numpy_matrix": [1414, 1416, 1421, 1422, 1434], "obei": 1414, "vastli": [1414, 1417], "outperform": 1414, "_pagerank_python": 1414, "123456789": 1414, "compatibil": 1414, "to_numpy_recarrai": [1414, 1423, 1434], "thisconvers": 1414, "f8": 1414, "i8": 1414, "rec": 1414, "read_gpickl": [1414, 1415, 1422], "write_gpickl": [1414, 1422], "pickl": [1414, 1418, 1419, 1423], "gpickl": [1414, 1422, 1434], "highest_protocol": 1414, "yaml": [1414, 1415, 1420, 1423], "pyyaml": [1414, 1422, 1434], "loader": [1414, 1422], "migrat": [1415, 1416, 1422, 1423, 1425, 1434], "unittest": 1415, "nose": [1415, 1416, 1420], "s_max": 1415, "mayvi2": 1415, "l2": 1415, "manifest": 1415, "ubigraph": 1415, "opengl": 1415, "p2g": [1415, 1416], "secondari": 1415, "edge_between": 1415, "load_between": 1415, "bipartite_color": 1415, "checker": 1415, "python2": 1415, "dfs_preorder": 1415, "dfs_postord": 1415, "dfs_successor": 1415, "dfs_predecessor": 1415, "xslt": 1415, "setup_egg": 1415, "setuptool": 1415, "get_edg": 1415, "floyd_warshall_arrai": 1415, "g467": 1415, "edges_": 1415, "degree_": 1415, "0x": 1415, "egg": 1415, "bdist_egg": 1415, "erdos_renyi": 1415, "scipy_sparse_matrix": 1415, "complain": 1415, "saner": 1415, "redraw": 1415, "relabel_nodes_with_funct": 1415, "degree_sequence_tre": 1415, "nonconsecut": 1415, "periodic_grid_2d_graph": 1415, "gnp_graph": 1415, "gnm_graph": 1415, "delete_edg": 1415, "sparse_binomial_graph": 1415, "bzip2": 1415, "datatyp": 1415, "peak": 1415, "devcent": 1415, "reformat": [1415, 1422], "menu": 1415, "stylesheet": 1415, "toposort": 1415, "is_directed_acycl": 1415, "svn": 1415, "subvers": 1415, "vtk": [1415, 1422], "random_powerlaw_tre": 1415, "dorogovtsev_goltsev_mendes_graph": 1415, "kevin": [1415, 1416, 1420, 1431, 1432, 1434], "bacon": 1415, "movi": 1415, "kevin_bacon": 1415, "rewrit": [1415, 1422], "truncated_tetrahedral_graph": 1415, "bfs_path_length": 1415, "1212": 1416, "quick": 1416, "keyiter": 1416, "parenthes": 1416, "adjacency_list": 1416, "adjacency_it": [1416, 1422], "2107": 1416, "1577": 1416, "minimum_spanning_edg": 1416, "maximum_spanning_edg": 1416, "maximum_spanning_tre": 1416, "did": [1416, 1422, 1434], "mass": 1416, "2326": 1416, "current_flow_closeness_centr": 1416, "2420": 1416, "2510": 1416, "2508": 1416, "2553": 1416, "came": 1416, "2604": 1416, "2558": 1416, "from_pandas_edgelist": [1416, 1417, 1420, 1421], "from_pandas_adjac": [1416, 1417], "2620": 1416, "draw_nx": 1416, "1662": 1416, "topolgical_sort": [1416, 1422], "bellman_ford": [1416, 1417, 1418, 1422, 1423], "arvai": 1416, "baharev": 1416, "moritz": 1416, "emanuel": 1416, "beber": 1416, "livio": 1416, "bioglio": 1416, "jake": 1416, "bogerd": 1416, "moreno": 1416, "bonaventura": 1416, "rapha\u00ebl": 1416, "bournhonesqu": 1416, "brett": 1416, "cognetta": 1416, "jami": [1416, 1420], "cox": 1416, "davidson": 1416, "nikhil": 1416, "desai": 1416, "donquixotedelamancha": 1416, "dosenpfand": 1416, "allen": [1416, 1426], "downei": 1416, "enrico": 1416, "erat": 1416, "aravind": 1416, "gollakota": 1416, "grainger": [1416, 1418], "yawara": 1416, "ishida": 1416, "bilal": 1416, "jammal": 1416, "omer": [1416, 1420], "jani": 1416, "klais": 1416, "valentin": 1416, "lorentz": 1416, "francoi": 1416, "malassenet": 1416, "arya": 1416, "mccarthi": 1416, "peleg": 1416, "micha": 1416, "morin": 1416, "sanggyu": [1416, 1417], "nam": [1416, 1417], "nishant": 1416, "rhile": 1416, "nova": 1416, "ramil": [1416, 1419], "nugmanov": [1416, 1419], "nunez": 1416, "iglesia": 1416, "pim": 1416, "ott": 1416, "pennei": [1416, 1417], "phobia": 1416, "tristan": 1416, "poupard": 1416, "sebastian": 1416, "pucilowski": 1416, "sailer": [1416, 1417], "ren\u00e9": 1416, "saitenmach": 1416, "felip": 1416, "schneider": [1416, 1421], "scinawa": 1416, "seifert": 1416, "mohammad": 1416, "sekhavat": 1416, "skytodinfi": 1416, "stacei": 1416, "smolash": 1416, "t\u00f6rnwall": 1416, "janni": 1416, "vamva": 1416, "vergin": 1416, "prayag": 1416, "verma": 1416, "Wills": 1416, "ianto": 1416, "xi": 1416, "heqe": 1416, "aryamccarthi": 1416, "definitelyuncertain": 1416, "juliensiebert": 1416, "leotr": 1416, "leycec": 1416, "mcognetta": 1416, "numpd": 1416, "salotz": 1416, "vsi": 1416, "thegreathippo": 1416, "vpodpecan": 1416, "yash14123": 1416, "neil": [1416, 1418, 1421], "girdhar": 1416, "leftov": 1416, "1847": 1416, "1966": 1416, "1963": 1416, "1958": 1416, "1690": 1416, "1740": 1416, "makefil": 1416, "eigenv": 1416, "1991": 1416, "unorder": 1416, "1987": 1416, "2026": 1416, "fix_duplicate_kwarg": 1416, "server": 1416, "1948": 1416, "2031": 1416, "2033": 1416, "2027": 1416, "abritrari": 1416, "2035": 1416, "2038": 1416, "2040": 1416, "2041": 1416, "2042": 1416, "2043": 1416, "unboundlocalerror": 1416, "2047": 1416, "1910": 1416, "2059": 1416, "2061": 1416, "2073": 1416, "2074": 1416, "1725": 1416, "1799": 1416, "is_path": [1416, 1421, 1432, 1434], "1921": 1416, "2077": 1416, "2075": 1416, "fixcoverag": 1416, "2080": 1416, "2039": 1416, "1680": 1416, "1679": 1416, "2081": 1416, "set_": [1416, 1422], "_attribut": [1416, 1422], "1935": 1416, "1919": 1416, "lfm": 1416, "1727": 1416, "1521": 1416, "1289": 1416, "tempor": 1416, "1653": 1416, "convert_bool": 1416, "1063": 1416, "2086": 1416, "2084": 1416, "2072": 1416, "2088": 1416, "1708": 1416, "fjmalass": 1416, "2089": 1416, "2090": 1416, "2082": 1416, "2085": 1416, "2091": 1416, "2095": 1416, "exposur": 1416, "2096": 1416, "__all__": [1416, 1422, 1423], "2098": 1416, "2092": 1416, "joint_degree_seq": 1416, "test_joint_degree_seq": 1416, "1873": 1416, "2099": 1416, "1894": 1416, "2100": 1416, "2102": 1416, "2101": 1416, "2104": 1416, "2114": 1416, "2124": 1416, "2132": 1416, "2136": 1416, "2141": 1416, "2143": 1416, "2142": 1416, "2148": 1416, "2149": 1416, "2158": 1416, "2150": 1416, "outsourc": 1416, "2083": 1416, "2167": 1416, "2129": 1416, "2172": 1416, "2178": 1416, "logarithm": 1416, "2179": 1416, "2180": 1416, "2122": 1416, "2202": 1416, "2199": 1416, "2200": 1416, "2064": 1416, "2196": 1416, "expm": 1416, "2208": 1416, "2206": 1416, "2207": 1416, "2214": 1416, "2222": 1416, "2225": 1416, "2224": 1416, "2230": 1416, "2228": 1416, "2236": 1416, "2246": 1416, "2247": 1416, "2237": 1416, "2215": 1416, "2269": 1416, "2272": 1416, "2287": 1416, "2268": 1416, "718": 1416, "2260": 1416, "minimum_spanning_arboresc": 1416, "2285": 1416, "2277": 1416, "convert_to_": 1416, "2259": 1416, "2221": 1416, "lpa": 1416, "2219": 1416, "2227": 1416, "2220": 1416, "2218": 1416, "2211": 1416, "2209": 1416, "2250": 1416, "parameth": 1416, "2253": 1416, "2257": 1416, "2284": 1416, "2275": 1416, "2320": 1416, "psuedo": 1416, "2322": 1416, "param": [1416, 1422, 1423, 1426], "2321": 1416, "2324": 1416, "2309": 1416, "2330": 1416, "2333": 1416, "2337": 1416, "asyn_lpa": 1416, "2339": 1416, "2344": 1416, "isom": 1416, "2302": 1416, "1729": 1416, "1866": 1416, "1874": 1416, "2360": 1416, "2359": 1416, "2373": 1416, "2364": 1416, "2372": 1416, "2375": 1416, "2385": 1416, "to_vertex_cov": [1416, 1422], "2386": 1416, "nxerror": 1416, "graphmatrix": [1416, 1434], "incidence_matrix": 1416, "2395": 1416, "2342": 1416, "mpl2": 1416, "2397": 1416, "2414": 1416, "2413": 1416, "gexfwrit": 1416, "2399": 1416, "2398": 1416, "gitwash": [1416, 1422], "2371": 1416, "2351": 1416, "2328": 1416, "2332": 1416, "2366": 1416, "gdal": [1416, 1420, 1421, 1422, 1434], "2416": 1416, "iteritem": 1416, "2461": 1416, "2480": 1416, "2500": 1416, "2501": 1416, "2521": 1416, "2530": 1416, "cherri": 1416, "2535": 1416, "2539": 1416, "2551": 1416, "2536": 1416, "2555": 1416, "2583": 1416, "2596": 1416, "texext": 1416, "math_dollar": 1416, "2609": 1416, "2617": 1416, "2622": 1416, "2623": 1416, "prep": 1416, "2624": 1416, "2647": 1416, "is_string_lik": [1416, 1421, 1422, 1434], "2659": 1416, "2830": 1417, "2825": 1417, "2821": 1417, "2823": 1417, "2784": 1417, "inverse_line_graph": [1417, 1420], "2241": 1417, "2782": 1417, "2252": 1417, "2063": 1417, "2498": 1417, "2729": 1417, "2572": 1417, "charg": 1417, "geographical_threshold_graph": 1417, "customiz": 1417, "custom_dist": 1417, "2554": 1417, "k_edge_augment": 1417, "2812": 1417, "2811": 1417, "2766": 1417, "2776": 1417, "2774": 1417, "2753": 1417, "jit_graph": [1417, 1420, 1422], "2788": 1417, "2819": 1417, "connected_component_subgraph": [1417, 1420], "biconnected_component_subgraph": [1417, 1420], "attracting_component_subgraph": [1417, 1420], "strongly_connected_component_subgraph": [1417, 1420], "weakly_connected_component_subgraph": [1417, 1420], "_compon": 1417, "amadeo": 1417, "boskovit": 1417, "bradburn": 1417, "bradwai": 1417, "ariel": 1417, "chinn": 1417, "bradlei": 1417, "ellert": 1417, "erispaha": 1417, "ioanni": 1417, "filippidi": 1417, "forfer": 1417, "loui": [1417, 1422], "gatin": 1417, "charl": 1417, "taplei": 1417, "hoyt": 1417, "lamb": 1417, "sanghack": [1417, 1421], "viraj": 1417, "parimi": 1417, "dima": 1417, "pasechnik": 1417, "naresh": 1417, "peshw": 1417, "wegi": 1417, "aweltsch": [1417, 1418], "gfyoung": 1417, "md0000": 1417, "mddddd": 1417, "talhum": 1417, "2839": 1417, "2838": 1417, "2837": 1417, "2829": 1417, "clobber": 1417, "2824": 1417, "component_subgraph": 1417, "2818": 1417, "attrib": 1417, "2817": 1417, "2801": 1417, "2816": 1417, "mrg": [1417, 1423], "2815": 1417, "2814": 1417, "2810": 1417, "forbidden": 1417, "2798": 1417, "2757": 1417, "2760": 1417, "2800": 1417, "steiner_tre": [1417, 1421], "metric_closur": 1417, "2783": 1417, "2781": 1417, "xcode": 1417, "osx_imag": 1417, "yml": [1417, 1422, 1423, 1434], "2780": 1417, "2779": 1417, "2361": 1417, "2775": 1417, "2773": 1417, "2771": 1417, "source_date_epoch": 1417, "2735": 1417, "2736": 1417, "2299": 1417, "2762": 1417, "2770": 1417, "2769": 1417, "2681": 1417, "1700": 1417, "2768": 1417, "2763": 1417, "fureth": 1417, "2764": 1417, "2726": 1417, "2759": 1417, "2751": 1417, "2744": 1417, "2746": 1417, "2732": 1417, "_triangles_and_degree_it": 1417, "2725": 1417, "nx_shp": [1417, 1422], "2721": 1417, "2722": 1417, "2718": 1417, "2703": 1417, "inter_community_edg": 1417, "2713": 1417, "2427": 1417, "2712": 1417, "migration_guide_from_1": 1417, "x_to_2": 1417, "2694": 1417, "2698": 1417, "2503": 1417, "2696": 1417, "2690": 1417, "2693": 1417, "2672": 1417, "2644": 1417, "2653": 1417, "2687": 1417, "2680": 1417, "2678": 1417, "2677": 1417, "untouch": 1418, "translat": 1418, "leak": [1418, 1422], "reformul": 1418, "generic_graph_view": [1418, 1420], "reverse_view": [1418, 1419, 1420], "subgraph_view": [1418, 1420, 1421], "node_filt": 1418, "edge_filt": 1418, "float64": 1418, "int64": [1418, 1421], "all_topolgical_sort": 1418, "top_sort": 1418, "bellmon": 1418, "_prep_create_us": 1418, "sentin": 1418, "reverseview": [1418, 1419, 1420], "reversemultiview": 1418, "subdigraph": [1418, 1420], "submultigraph": [1418, 1420], "submultidigraph": [1418, 1420], "multigraphview": [1418, 1420], "multidigraphview": [1418, 1420], "derec": 1418, "william": [1418, 1420, 1426], "bernoudi": 1418, "condello": 1418, "saurav": 1418, "dormir30": 1418, "fetterman": 1418, "gyori": 1418, "ramiro": [1418, 1420], "g\u00f3mez": [1418, 1420], "dar\u00edo": 1418, "here\u00f1\u00fa": 1418, "aabir": [1418, 1421], "abubak": [1418, 1421], "kar": [1418, 1421], "jacek": 1418, "karwowski": 1418, "moham": [1418, 1422], "kashif": [1418, 1422], "kraeutmann": 1418, "winni": 1418, "kretzschmar": [1418, 1419], "lakovi\u0107": 1418, "katrin": 1418, "leinweb": 1418, "lenail": 1418, "lonnen": [1418, 1422], "ji": 1418, "baurzhan": 1418, "muftakhidinov": 1418, "pliqu": 1418, "tom": [1418, 1421, 1422], "russel": [1418, 1421], "gabe": 1418, "schwartz": [1418, 1420], "torr": 1418, "v\u00e1\u0148a": 1418, "ruaridh": 1418, "williamson": 1418, "huon": 1418, "felix": 1418, "yan": 1418, "armando1793": 1418, "hongshaoyang": 1418, "komo": [1418, 1419], "luzpaz": 1418, "mtrenfield": 1418, "regstrtn": 1418, "announc": [1419, 1420], "couldn": 1419, "blind": 1419, "babst": 1419, "barnoud": 1419, "chow": 1419, "clayton": 1419, "micha\u00ebl": 1419, "defferrard": 1419, "eyal": 1419, "tanai": 1419, "gahlot": 1419, "\u00f8yvind": 1419, "heddeland": 1419, "instefjord": 1419, "hongwei": 1419, "kieran": 1419, "dongkwan": 1419, "elia": 1419, "kuth": 1419, "niema": 1419, "pozza": 1419, "antoin": [1419, 1420, 1421], "prouvost": 1419, "micka\u00ebl": 1419, "schoentgen": 1419, "johann": 1419, "utkarsh": 1419, "upadhyai": 1419, "damiano": 1419, "guidoeco": 1419, "jeanfrancois8512": 1419, "last2sword": 1419, "prufe": 1420, "unionfind": [1420, 1421, 1422, 1434], "betweenness_subset": [1420, 1434], "lexico": 1420, "topo": 1420, "async": 1420, "label_propag": 1420, "partial_dupl": 1420, "is_list_of_int": [1420, 1422, 1434], "is_bunch_of_int": 1420, "multireverseview": 1420, "205": 1420, "edgebf": 1420, "3397": 1420, "3403": 1420, "3407": 1420, "3413": 1420, "3415": 1420, "lfr_benchmark": 1420, "3411": 1420, "2939": 1420, "3401": 1420, "3409": 1420, "inconsist": [1420, 1423, 1434, 1436], "3395": 1420, "3421": 1420, "3423": 1420, "3424": 1420, "3427": 1420, "3224": 1420, "3429": 1420, "betwe": 1420, "3425": 1420, "3222": 1420, "3436": 1420, "nandahkrishna": 1420, "3438": 1420, "3447": 1420, "3435": 1420, "random_degree_sequence_graph": 1420, "3451": 1420, "cb": 1420, "3476": 1420, "raph": 1420, "3468": 1420, "3462": 1420, "3461": 1420, "3385": 1420, "3454": 1420, "3487": 1420, "3484": 1420, "3437": 1420, "3495": 1420, "3493": 1420, "3494": 1420, "3377": 1420, "3504": 1420, "3503": 1420, "3516": 1420, "3515": 1420, "safeguard": 1420, "3526": 1420, "3519": 1420, "3524": 1420, "3529": 1420, "pypy3": 1420, "3514": 1420, "3535": 1420, "3507": 1420, "3508": 1420, "3527": 1420, "1054": 1420, "3353": 1420, "3445": 1420, "3536": 1420, "3538": 1420, "3444": 1420, "3312": 1420, "asyn_lpa_commun": [1420, 1423], "3545": 1420, "3540": 1420, "3552": 1420, "3554": 1420, "3551": 1420, "3557": 1420, "3555": 1420, "3542": 1420, "malch2": 1420, "py3": [1420, 1421, 1422, 1423], "3564": 1420, "3566": 1420, "doctr": 1420, "3568": 1420, "3569": 1420, "tabl": [1420, 1422], "3570": 1420, "3534": 1420, "3575": 1420, "3576": 1420, "3579": 1420, "3400": 1420, "latexpdf": 1420, "3592": 1420, "3512": 1420, "3491": 1420, "3588": 1420, "test_gexf": 1420, "serialis": 1420, "py2": [1420, 1428], "internet_as_graph": 1420, "3574": 1420, "3598": 1420, "3599": 1420, "3573": 1420, "3606": 1420, "3604": 1420, "3603": 1420, "3267": 1420, "pycodestyl": 1420, "3608": 1420, "3609": 1420, "3611": 1420, "3187": 1420, "3613": 1420, "3183": 1420, "3293": 1420, "3614": 1420, "3399": 1420, "3619": 1420, "3620": [1420, 1422], "partial_duplication_graph": 1420, "3626": 1420, "3629": 1420, "3628": 1420, "incod": 1420, "3621": 1420, "3631": 1420, "3630": 1420, "3617": 1420, "edgeattr": 1420, "3634": 1420, "maco": [1420, 1430], "3636": 1420, "3638": 1420, "3627": 1420, "teardown": 1420, "cont": 1420, "static": 1420, "v2userfunc": 1420, "test_funct": 1420, "test_mst": 1420, "reportview": [1420, 1422], "assert_": 1420, "reenabl": [1420, 1422, 1434], "test_color": 1420, "pytestimportorskip": 1420, "importorskip": [1420, 1421, 1429], "assert_almost_equ": 1420, "almost_equ": [1420, 1422], "skirt": 1420, "wih": 1420, "test_harmon": 1420, "demo": 1420, "assert_rais": 1420, "eq_": 1420, "ok_": 1420, "skiptest": 1420, "3639": 1420, "3648": 1420, "4rc1": 1420, "3644": 1420, "3645": 1420, "3652": 1420, "rajendra": 1420, "adhikari": 1420, "bitai": 1420, "tobia": 1420, "blass": 1420, "malayaja": 1420, "chutani": 1420, "cock": 1420, "almog": 1420, "diogo": 1420, "cruz": 1420, "darm\u00fcntzel": 1420, "elan": 1420, "ernest": 1420, "jacob": 1420, "jona": [1420, 1422], "fahlenkamp": 1420, "fedel": 1420, "andi": [1420, 1421], "garfield": [1420, 1421], "henri": [1420, 1421], "steffen": 1420, "hirschmann": 1420, "mchugh": 1420, "iii": 1420, "matej": 1420, "klemen": 1420, "labarr": 1420, "anton": [1420, 1421], "lodder": [1420, 1421], "mcer4294967296": 1420, "fil": 1420, "menczer": 1420, "metz": 1420, "subhendu": 1420, "ranajn": 1420, "mishra": [1420, 1422], "morton": 1420, "myatt": 1420, "opfer": 1420, "aditya": [1420, 1421], "pal": [1420, 1421], "ortiz": 1420, "jose": [1420, 1421], "pinilla": [1420, 1421], "alexio": 1420, "polyzo": 1420, "recachina": [1420, 1422], "rosenth": 1420, "kanishk": [1420, 1421], "tantia": [1420, 1421], "tham": 1420, "valkana": 1420, "hsi": 1420, "hsuan": 1420, "xiangyu": [1420, 1422], "xu": [1420, 1422], "karl": 1420, "michelb7398": 1420, "mikedeltalima": 1420, "skhiuk": 1420, "tbalint": 1420, "pathlib": 1421, "lukes_partit": 1421, "graph_hash": 1421, "path_weight": 1421, "paley_graph": 1421, "interval_graph": 1421, "covers": 1421, "kernighan_lin_bisect": [1421, 1422], "rooted_tree_isomorph": 1421, "has_numpi": 1421, "astar": [1421, 1422, 1430], "directional_dijksta": 1421, "view_pygraphviz": 1421, "4155": 1421, "prepar": [1421, 1422], "4162": 1421, "3680": 1421, "make_str": [1421, 1434], "3725": 1421, "3983": 1421, "display_pygraphviz": [1421, 1434], "4161": 1421, "edge_betwe": [1421, 1434], "_naive_greedy_modularity_commun": [1421, 1434], "naive_greedy_modularity_commun": [1421, 1422], "version_info": 1421, "pep8_speak": 1421, "3610": 1421, "w503": 1421, "sed": 1421, "3678": 1421, "3646": 1421, "3681": 1421, "_single_shortest_path_length": 1421, "3647": 1421, "3431": 1421, "make_small_graph": [1421, 1423, 1434], "3676": 1421, "3684": 1421, "laplacion": 1421, "3689": 1421, "3666": 1421, "shim": 1421, "3698": 1421, "3697": 1421, "coc": 1421, "accur": 1421, "3699": 1421, "licens": 1421, "3710": 1421, "boiler": [1421, 1422], "plate": [1421, 1422], "superflu": 1421, "shebang": 1421, "3713": 1421, "test_numpy_typ": 1421, "parenthesi": 1421, "3734": 1421, "3735": 1421, "3741": 1421, "3738": 1421, "3511": 1421, "3649": 1421, "3759": 1421, "yohm": 1421, "3760": 1421, "3756": 1421, "3757": 1421, "shall_layout": 1421, "3764": 1421, "3742": 1421, "fstring": [1421, 1426], "py36": 1421, "silenc": 1421, "3770": 1421, "asyn_fluidc": 1421, "3779": 1421, "3703": 1421, "3784": 1421, "3658": 1421, "3782": 1421, "3787": 1421, "3788": 1421, "3799": 1421, "shrink": 1421, "3805": 1421, "3806": 1421, "3586": 1421, "3807": 1421, "subgraph_is_monomorph": 1421, "3798": 1421, "3736": 1421, "3804": 1421, "3810": 1421, "3816": 1421, "3822": 1421, "3838": 1421, "3840": 1421, "3846": 1421, "3848": 1421, "3852": 1421, "3833": 1421, "3854": 1421, "3859": [1421, 1422], "3866": 1421, "3888": 1421, "3894": 1421, "3893": 1421, "jit_data": [1421, 1422], "3891": 1421, "3909": 1421, "logo": 1421, "3907": 1421, "3910": 1421, "3916": 1421, "3900": 1421, "3927": 1421, "3947": 1421, "3952": 1421, "3959": 1421, "3960": 1421, "3958": 1421, "3783": 1421, "3965": 1421, "simrank_similarity_numpi": [1421, 1422, 1434], "3954": 1421, "3930": 1421, "overwritten": [1421, 1422], "3935": 1421, "3948": 1421, "3949": 1421, "3973": 1421, "3961": 1421, "weaken": 1421, "3970": 1421, "3858": 1421, "3926": 1421, "3928": 1421, "3982": 1421, "context_manag": 1421, "reversed_view": 1421, "3987": 1421, "3972": 1421, "3974": 1421, "3999": 1421, "filter_egd": 1421, "4010": 1421, "4009": 1421, "4012": 1421, "int_": 1421, "4013": 1421, "4017": 1421, "3981": 1421, "3925": 1421, "4025": 1421, "4035": 1421, "dep": [1421, 1422, 1423, 1425, 1434], "nexp": 1421, "3986": 1421, "3892": 1421, "4042": 1421, "3477": 1421, "4015": 1421, "4033": 1421, "3967": 1421, "3919": 1421, "maint": [1421, 1422, 1423, 1425, 1426, 1427, 1429], "4034": 1421, "titlebar": 1421, "4044": 1421, "3879": 1421, "3855": 1421, "3841": 1421, "3761": 1421, "alg": 1421, "conn": 1421, "attribute_ac": 1421, "tst": [1421, 1422], "testalgebraicconnect": 1421, "buckminsterfulleren": 1421, "_method": 1421, "testspectralord": 1421, "4037": 1421, "__contains__": 1421, "3845": 1421, "3358": 1421, "enh": [1421, 1434], "4026": 1421, "3705": 1421, "4059": 1421, "4057": 1421, "3815": 1421, "4028": 1421, "4029": 1421, "4055": 1421, "ran": 1421, "pyupgrad": [1421, 1423], "py36plu": 1421, "psf": 1421, "4060": 1421, "4063": 1421, "3985": 1421, "4062": 1421, "4016": 1421, "4070": 1421, "osx": [1421, 1422], "4075": 1421, "brew": 1421, "4079": 1421, "4078": 1421, "reyni": 1421, "4074": 1421, "4081": 1421, "4087": 1421, "laplacianmatrix": 1421, "4090": 1421, "4096": 1421, "selfloops_edg": 1421, "4080": 1421, "builtin": 1421, "4094": 1421, "4076": 1421, "4097": 1421, "reword": 1421, "from_numpy_matrix": [1421, 1422, 1434], "4093": 1421, "rm_npmatrix": 1421, "4105": 1421, "4088": 1421, "4069": 1421, "4108": 1421, "4110": 1421, "policyt": 1421, "4112": 1421, "4103": 1421, "4117": 1421, "4119": 1421, "4123": 1421, "readthrough": [1421, 1425], "4121": 1421, "4124": 1421, "4125": 1421, "4131": 1421, "4132": 1421, "4067": 1421, "4136": 1421, "ordereddict": 1421, "4145": 1421, "fixup": [1421, 1426, 1431, 1434], "4128": 1421, "apt": 1421, "circleci": [1421, 1422], "4147": 1421, "layout_dict": 1421, "4154": 1421, "4066": 1421, "4156": 1421, "postprocess": 1421, "4160": 1421, "4004": 1421, "4163": 1421, "3470": 1421, "3763": 1421, "4164": 1421, "3347": 1421, "4159": 1421, "5rc1": 1421, "4166": 1421, "4167": 1421, "4168": 1421, "bld": 1421, "markup": 1421, "4174": 1421, "adnan": 1421, "abdulmuttaleb": 1421, "abhi": 1421, "luka": 1421, "bernwald": 1421, "isaac": [1421, 1434], "boat": 1421, "mahmut": 1421, "bulut": 1421, "r\u00fcdiger": 1421, "busch": 1421, "niko": 1421, "chan": 1421, "harold": 1421, "camden": 1421, "cheek": 1421, "bastian": [1421, 1423], "deil": 1421, "tangui": 1421, "fardet": 1421, "\u8d75\u4e30": 1421, "feng": 1421, "od": 1421, "kang": 1421, "hong": 1421, "mana": 1421, "joshi": 1421, "folgert": 1421, "karsdorp": 1421, "suni": 1421, "kirkbi": 1421, "katherin": 1421, "klise": 1421, "ilia": 1421, "kurenkov": 1421, "whi": 1421, "kwon": 1421, "lammen": 1421, "l\u00f6sche": 1421, "mackyboy12": 1421, "mattwmaster58": 1421, "mcdermott": 1421, "ibraheem": 1421, "moosa": 1421, "yohsuk": 1421, "muras": 1421, "nieminen": 1421, "orduz": 1421, "austin": 1421, "orr": 1421, "ortal": 1421, "paladitya": 1421, "pranayanchuri": 1421, "mart\u00edn": 1421, "p\u00e9rez": [1421, 1433, 1434], "pradeep": 1421, "reddi": 1421, "raamana": 1421, "rachum": 1421, "radcliff": 1421, "craig": 1421, "karthikeyan": 1421, "singaravelan": 1421, "songyu": 1421, "jeremia": 1421, "traub": 1421, "jonatan": 1421, "westholm": 1421, "adnanmuttaleb": 1421, "anentrop": 1421, "beckedorf": 1421, "ernstklrb": 1421, "farhanbhoraniya": 1421, "fj128": 1421, "gseva": 1421, "haochenucr": 1421, "johnthagen": 1421, "kiryph": 1421, "muratgu": 1421, "sauxpa": 1421, "tombeek111": 1421, "willpeppo": 1421, "upcom": [1422, 1425], "late": 1422, "__str__": 1422, "theme": [1422, 1432, 1433, 1434], "random_ordered_tre": 1422, "partition_qu": 1422, "prominent_group": 1422, "prefix_tree_recurs": 1422, "etwork": 1422, "nhancement": 1422, "ropos": 1422, "3886": 1422, "4138": 1422, "4183": 1422, "4193": 1422, "4198": 1422, "4206": 1422, "4240": 1422, "4294": 1422, "4319": 1422, "4841": 1422, "4317": 1422, "4356": 1422, "bidirectional_djikstra": 1422, "4361": 1422, "4435": 1422, "4446": 1422, "4463": 1422, "4476": 1422, "4519": 1422, "4528": 1422, "4560": 1422, "4588": 1422, "4607": 1422, "4640": 1422, "4659": 1422, "dual_barabasi_albert_graph": 1422, "4690": 1422, "modularity_max": 1422, "4727": 1422, "4739": 1422, "argmap": 1422, "4757": 1422, "stratif": 1422, "4768": 1422, "4769": 1422, "4847": 1422, "4190": 1422, "tracemin_chol": 1422, "4216": 1422, "to_": 1422, "_arrai": 1422, "4360": 1422, "unifi": 1422, "regress": [1422, 1423, 1426], "4384": 1422, "4461": 1422, "binomial_tre": 1422, "4466": 1422, "4502": 1422, "4536": 1422, "simultan": 1422, "4573": 1422, "4545": 1422, "uuid": 1422, "4786": 1422, "4843": 1422, "communicability_betweeness_centr": 1422, "4850": 1422, "4851": 1422, "numeric_mixing_matrix": [1422, 1434], "4867": 1422, "4238": 1422, "4279": 1422, "is_iter": [1422, 1434], "4280": 1422, "4282": 1422, "4298": 1422, "read_shp": 1422, "edges_from_lin": 1422, "write_shp": 1422, "4355": 1422, "4428": 1422, "4449": 1422, "4448": 1422, "parition_qu": 1422, "4599": 1422, "empty_gener": [1422, 1434], "4600": 1422, "default_open": [1422, 1434], "4617": 1422, "hub_matrix": [1422, 1434], "authority_matrix": [1422, 1434], "4629": 1422, "4802": 1422, "nx_yaml": 1422, "__getattr__": 1422, "secur": [1422, 1432], "4826": 1422, "preserve_random_st": [1422, 1434], "4827": 1422, "4833": 1422, "4829": 1422, "assert_nodes_equ": 1422, "assert_edges_equ": 1422, "assert_graphs_equ": 1422, "4923": 1422, "4937": 1422, "k_nearest_neighbor": 1422, "4173": 1422, "input_data": 1422, "4176": 1422, "4182": 1422, "4185": 1422, "857aa81": 1422, "4189": 1422, "mac": 1422, "4201": 1422, "4180": 1422, "4200": 1422, "4101": 1422, "4202": 1422, "4211": 1422, "_choleskysolv": 1422, "to_numpi": 1422, "4222": 1422, "4223": 1422, "4134": 1422, "4177": 1422, "fingerprint": 1422, "4229": 1422, "ssh": 1422, "dir": 1422, "deploy": [1422, 1434], "4230": 1422, "4231": 1422, "lint": 1422, "8b1": 1422, "4235": 1422, "4237": 1422, "4234": 1422, "4241": 1422, "contract_nod": 1422, "4245": 1422, "4257": 1422, "4246": 1422, "4258": 1422, "4260": 1422, "4267": 1422, "4263": 1422, "degree_rank": 1422, "4265": 1422, "4251": 1422, "four_grid": 1422, "4264": 1422, "legibl": 1422, "4266": 1422, "readibl": [1422, 1423], "chess_exampl": 1422, "4252": 1422, "4274": 1422, "4276": 1422, "4268": 1422, "4278": 1422, "4285": 1422, "4286": 1422, "4291": 1422, "4299": 1422, "swith": 1422, "4301": 1422, "nexp2": 1422, "4289": 1422, "4307": 1422, "4310": 1422, "4312": 1422, "touchup": [1422, 1423, 1429, 1432, 1434], "4340": 1422, "4330": 1422, "4303": 1422, "sphinx33": 1422, "4342": 1422, "4331": 1422, "3823": 1422, "4333": 1422, "4284": 1422, "4296": 1422, "algebraicconnect": [1422, 1423], "4287": 1422, "4320": 1422, "4345": 1422, "4321": 1422, "4339": 1422, "4346": 1422, "4344": 1422, "4351": 1422, "4297": 1422, "4354": 1422, "bidirection_dijkstra": 1422, "4359": 1422, "4249": 1422, "4358": 1422, "4336": 1422, "4365": 1422, "mnt": 1422, "4370": 1422, "intersphinx": 1422, "4372": 1422, "4373": 1422, "4376": 1422, "4385": 1422, "4383": 1422, "boost": 1422, "4375": 1422, "4273": 1422, "buiild": 1422, "4388": 1422, "4306": 1422, "4269": 1422, "4391": 1422, "4390": 1422, "4392": 1422, "4393": 1422, "4396": 1422, "3849": 1422, "4399": 1422, "4403": 1422, "4378": 1422, "4408": 1422, "4409": 1422, "4410": 1422, "4411": 1422, "kernighan_lin": 1422, "4398": 1422, "4412": 1422, "xetex": 1422, "uft8": 1422, "4326": 1422, "4414": 1422, "4416": 1422, "geospati": [1422, 1434], "4407": 1422, "4366": 1422, "4418": 1422, "4422": 1422, "safer": 1422, "4413": 1422, "4424": 1422, "4429": 1422, "4431": 1422, "4430": 1422, "4404": 1422, "4401": 1422, "4427": 1422, "4395": 1422, "4417": 1422, "4434": 1422, "bfs_predecessor": 1422, "bfs_successor": 1422, "4438": 1422, "jit": [1422, 1434], "4450": 1422, "numpydoc": [1422, 1423, 1426, 1433, 1434], "4447": 1422, "networkxsimplex": 1422, "4455": 1422, "maxcut": 1422, "4467": 1422, "nep": 1422, "4469": 1422, "4474": 1422, "4348": 1422, "4477": 1422, "4425": 1422, "4482": 1422, "4473": 1422, "4488": 1422, "4494": 1422, "4495": 1422, "4506": 1422, "4504": 1422, "4509": 1422, "4510": 1422, "4512": 1422, "4492": 1422, "4513": 1422, "4464": 1422, "4292": 1422, "4480": 1422, "4524": 1422, "4499": 1422, "4529": 1422, "4501": 1422, "4471": 1422, "mutigraph": 1422, "4522": 1422, "node_list": 1422, "4505": 1422, "4479": 1422, "4531": 1422, "4537": 1422, "4548": 1422, "4546": 1422, "4547": 1422, "4550": 1422, "4554": 1422, "4557": 1422, "4563": 1422, "4570": 1422, "4567": 1422, "4451": 1422, "test_kernighan_lin": 1422, "4577": 1422, "4580": 1422, "4575": 1422, "4581": 1422, "4576": 1422, "4589": 1422, "choco": 1422, "4583": 1422, "perfor": 1422, "pillow": 1422, "mktemp": 1422, "4593": 1422, "4556": 1422, "nonrandom": 1422, "4613": 1422, "4622": 1422, "4620": 1422, "gitignor": 1422, "4619": 1422, "4610": 1422, "4627": 1422, "4624": 1422, "blocklist": 1422, "4628": 1422, "3153": 1422, "3260": 1422, "4639": 1422, "4635": 1422, "4642": 1422, "4638": 1422, "4646": 1422, "4651": 1422, "4649": 1422, "4655": 1422, "negative_edge_cycl": 1422, "4658": 1422, "4653": 1422, "4671": 1422, "4665": 1422, "4667": 1422, "4349": 1422, "4602": 1422, "4684": 1422, "4711": 1422, "4721": 1422, "4724": 1422, "4734": 1422, "4735": 1422, "4738": 1422, "persist": 1422, "4714": 1422, "4741": 1422, "4748": 1422, "ismorph": 1422, "4756": 1422, "4751": 1422, "4753": 1422, "4758": 1422, "reproducibilti": 1422, "4718": 1422, "4773": 1422, "4633": 1422, "4789": 1422, "imread": 1422, "4790": 1422, "auto": 1422, "3443": 1422, "4794": 1422, "4795": 1422, "4800": 1422, "4791": 1422, "4793": 1422, "4801": 1422, "4814": 1422, "restructur": 1422, "4744": 1422, "4815": 1422, "calllabl": 1422, "4678": 1422, "networksimplex": 1422, "test_networksimplex": 1422, "4685": 1422, "4625": 1422, "4817": 1422, "bar\u00e1basi": 1422, "4818": 1422, "4820": 1422, "4821": 1422, "4497": 1422, "getattr": 1422, "4831": 1422, "omp": 1422, "4830": 1422, "4572": 1422, "4825": 1422, "4828": 1422, "4839": 1422, "4582": 1422, "init": 1422, "4823": 1422, "4840": 1422, "6rc1": [1422, 1431], "4864": 1422, "4871": 1422, "4852": 1422, "4875": 1422, "ml": 1422, "4872": 1422, "4868": 1422, "4884": 1422, "4694": 1422, "4353": 1422, "edge_id": 1422, "4842": 1422, "4892": 1422, "4883": 1422, "4906": 1422, "4900": 1422, "graph_class": 1422, "4912": 1422, "coeffic": 1422, "ex": 1422, "4916": 1422, "4866": 1422, "6rc2": 1422, "4927": 1422, "4930": 1422, "4932": 1422, "4925": 1422, "_quotient_graph": 1422, "4931": 1422, "4275": 1422, "4926": 1422, "4939": 1422, "4928": 1422, "4945": 1422, "4938": 1422, "4934": 1422, "4949": 1422, "4948": 1422, "descendants_at_dist": [1422, 1423], "4952": 1422, "4947": 1422, "4954": 1422, "4958": 1422, "abhaygoy": 1422, "suvayu": 1422, "alexandr": 1422, "amori": 1422, "francesco": 1422, "andreuzzi": 1422, "raffael": 1422, "basil": 1422, "jeroen": 1422, "bergman": 1422, "bernstein": 1422, "geoff": 1422, "boe": 1422, "jeff": 1422, "bradberri": 1422, "brendel": 1422, "justin": 1422, "cai": 1422, "caswel": 1422, "charfreitag": 1422, "cho": 1422, "christopherreinartz": 1422, "dorner": 1422, "eckart": [1422, 1423], "tomohiro": 1422, "endo": 1422, "fenstermach": 1422, "fleischmann": 1422, "martha": [1422, 1425], "frysztacki": [1422, 1425], "fr\u0268\u0282tat": 1422, "sk\u02b2": 1422, "debargha": 1422, "ganguli": 1422, "cui": 1422, "hao": 1422, "flori": 1422, "hermsen": 1422, "ward": 1422, "huang": 1422, "elgun": 1422, "jabrayilzad": 1422, "jaeseung": 1422, "korbonit": 1422, "kostelac": 1422, "sebastiaan": 1422, "lokhorst": 1422, "delil": 1422, "xiaoyan": 1422, "malin": 1422, "oleh": 1422, "marshev": 1422, "jordan": 1422, "matelski": 1422, "fabio": 1422, "mazza": 1422, "mcbride": 1422, "abdulelah": 1422, "mesfer": 1422, "attila": 1422, "mester": 1422, "miroslav": 1422, "\u0161ediv\u00fd": 1422, "harsh": 1422, "murthi": 1422, "nagel": 1422, "nagi": 1422, "mehdi": 1422, "nemati": 1422, "vitalii": 1422, "pozdnyakov": 1422, "bharat": 1422, "raghunathan": 1422, "randi": 1422, "rotger": 1422, "taxo": 1422, "rubio": 1422, "kunal": 1422, "shah": 1422, "ludov": [1422, 1434], "stephan": [1422, 1434], "timmon": 1422, "tomassilli": 1422, "treinish": 1422, "trujillo": 1422, "danylo": 1422, "ulianych": 1422, "wilder": 1422, "wohn": 1422, "wolf": 1422, "shichu": 1422, "alexpsimon": 1422, "as1371": 1422, "cpurmessur": 1422, "dbxnr": 1422, "wim": 1422, "glenn": 1422, "goncaloasimo": 1422, "crowlei": 1422, "jebogaert": 1422, "josch": 1422, "ldelil": 1422, "marcusjcrook": 1422, "rozenberg": 1422, "walkeralexand": 1422, "166": 1423, "4946": 1423, "wrongli": 1423, "recalcul": 1423, "4740": 1423, "4897": 1423, "is_perfect_matc": 1423, "4924": 1423, "whne": 1423, "4929": 1423, "n_commun": [1423, 1425, 1434], "4965": 1423, "4996": 1423, "4976": 1423, "4999": 1423, "5007": 1423, "5017": 1423, "5019": 1423, "5029": 1423, "5032": 1423, "complement_edg": 1423, "5045": 1423, "geometric_edg": [1423, 1430], "5051": 1423, "5052": 1423, "5058": 1423, "5065": 1423, "5077": 1423, "5086": 1423, "5089": 1423, "5099": 1423, "5104": 1423, "5121": 1423, "_all": 1423, "5131": 1423, "edge_styl": 1423, "5139": 1423, "5144": 1423, "5145": 1423, "5153": 1423, "5154": 1423, "5172": 1423, "5197": 1423, "5216": 1423, "5217": 1423, "5232": 1423, "5247": 1423, "5250": 1423, "5285": 1423, "5287": 1423, "5288": 1423, "5324": 1423, "5336": 1423, "attr_matrix": 1423, "is_": 1423, "_match": 1423, "5055": 1423, "5114": 1423, "5143": 1423, "5166": 1423, "hmn": 1423, "lgc": 1423, "5262": 1423, "from_scipy_sparse_matrix": [1423, 1434], "5283": 1423, "make_small_undirected_graph": [1423, 1434], "5330": 1423, "5341": 1423, "5053": 1423, "5023": 1423, "5033": 1423, "5039": 1423, "trophic_level": 1423, "5087": 1423, "3389": 1423, "5095": 1423, "5056": 1423, "5078": 1423, "5119": 1423, "5122": 1423, "5091": 1423, "varnam": 1423, "5130": 1423, "5129": 1423, "documentaion": 1423, "5092": 1423, "5115": 1423, "5059": 1423, "5136": 1423, "5132": 1423, "py37": 1423, "5146": 1423, "4807": 1423, "9b0": 1423, "5148": 1423, "5150": 1423, "5151": 1423, "5134": 1423, "5156": 1423, "5159": 1423, "5123": 1423, "5174": 1423, "transoffset": 1423, "5173": 1423, "5177": 1423, "5181": 1423, "5180": 1423, "5183": 1423, "mypi": 1423, "5127": 1423, "5187": 1423, "5190": 1423, "5191": 1423, "5185": 1423, "desced": 1423, "undir": 1423, "5188": 1423, "5194": 1423, "5208": 1423, "5214": 1423, "5210": 1423, "5219": 1423, "5218": 1423, "5196": 1423, "5165": 1423, "4874": 1423, "5037": 1423, "5226": 1423, "5224": 1423, "5231": 1423, "5225": 1423, "5182": 1423, "5243": 1423, "5244": 1423, "5240": 1423, "5272": 1423, "5273": 1423, "5263": 1423, "5275": 1423, "5274": 1423, "lazy_import": [1423, 1430, 1434], "4909": 1423, "4942": 1423, "5282": 1423, "from_dict_of_list": 1423, "5267": 1423, "new_mod": 1423, "5284": 1423, "unconnect": 1423, "5289": 1423, "5296": 1423, "5300": 1423, "nxep2": 1423, "5297": 1423, "5304": 1423, "5276": 1423, "5307": 1423, "5314": 1423, "5315": 1423, "abstractset": 1423, "5317": 1423, "draw_": 1423, "5264": 1423, "5319": 1423, "5301": 1423, "5316": 1423, "5049": 1423, "5306": 1423, "4579": 1423, "inbuilt": 1423, "5327": 1423, "5337": 1423, "5338": 1423, "5342": 1423, "5345": 1423, "5346": 1423, "5339": 1423, "7rc1": 1423, "5348": 1423, "5349": 1423, "5356": 1423, "stuff": 1423, "5361": 1423, "spiral_layout": [1423, 1425], "5354": 1423, "5364": 1423, "badart": 1423, "becker": 1423, "anutosh": 1423, "bhat": [1423, 1434], "candioti": 1423, "divyansh": 1423, "yossi": 1423, "eliaz": 1423, "casper": [1423, 1434], "elteren": [1423, 1434], "gasperini": 1423, "haden": 1423, "klarner": 1423, "fabrizio": 1423, "kuruc": 1423, "paarth": 1423, "madan": 1423, "achil": 1423, "nazaret": 1423, "nikhoh": 1423, "aishwarya": 1423, "ramasethu": 1423, "ryuki": 1423, "katalin": 1423, "ciru": 1423, "thenter": 1423, "hnatiuk": 1423, "vladyslav": 1423, "eskounti": 1423, "kpberri": 1423, "heterogen": 1424, "5357": 1424, "5370": 1424, "delayedimporterrormodul": 1424, "5371": 1424, "stopiter": 1424, "5372": 1424, "scherer": 1424, "jkudla": 1424, "preview": 1425, "wasn": 1425, "nonsens": [1425, 1434], "caluat": 1425, "nbrhood": 1425, "5394": 1425, "5227": 1425, "5422": 1425, "5427": 1425, "dict_to_numpy_array1": [1425, 1434], "dict_to_numpy_array2": [1425, 1434], "dict_to_numpy_arrai": 1425, "5428": 1425, "to_tupl": [1425, 1434], "backtick": 1425, "5381": 1425, "5380": 1425, "modulartiy_max": 1425, "enforce_n_commun": 1425, "5359": 1425, "5387": 1425, "5389": 1425, "5390": 1425, "5391": 1425, "5398": 1425, "5401": 1425, "5397": 1425, "extrema": 1425, "5409": 1425, "5265": 1425, "5424": 1425, "nxep4": 1425, "toctre": 1425, "5420": 1425, "_inherit_doc": 1425, "5416": 1425, "5414": 1425, "blame": [1425, 1428], "5405": 1425, "5430": 1425, "5404": 1425, "5431": 1425, "5438": 1425, "5440": 1425, "5439": 1425, "5441": 1425, "5443": 1425, "5444": 1425, "5454": 1425, "5455": 1425, "5451": 1425, "5457": 1425, "5456": 1425, "5407": 1425, "8rc1": 1425, "5476": 1425, "5212": 1425, "5471": 1425, "5491": 1425, "5503": 1425, "5458": 1425, "5505": 1425, "5513": 1425, "riccardo": 1425, "bucco": 1425, "bussonni": [1425, 1431], "fabianbal": 1425, "keef": 1425, "lukong123": [1425, 1426, 1428, 1434], "mawhort": 1425, "mccabe": [1425, 1429, 1434], "seon82": 1425, "nikita": [1425, 1426], "sharma": [1425, 1426], "dilara": [1425, 1426, 1427, 1431, 1434], "tekinoglu": [1425, 1426, 1427, 1431, 1434], "blokhinnv": 1425, "yusuf": 1425, "csdev": 1425, "snippet": 1426, "5514": 1426, "5521": 1426, "5524": 1426, "5516": 1426, "eagerli": 1426, "5537": 1426, "5523": 1426, "autoclass": 1426, "5548": 1426, "5536": 1426, "5556": 1426, "5538": 1426, "5549": 1426, "5109": 1426, "5544": 1426, "5519": 1426, "greedy_modular": 1426, "5550": 1426, "codereview": 1426, "doctor": 1426, "5574": 1426, "5571": 1426, "induced_subgraph": 1426, "5576": 1426, "5583": 1426, "5588": 1426, "flowfunc": 1426, "5589": 1426, "outdat": 1426, "5529": 1426, "5580": 1426, "5601": 1426, "read_doc": 1426, "5604": 1426, "5605": 1426, "5600": 1426, "5403": 1426, "5442": 1426, "branching_weight": 1426, "5553": 1426, "5558": 1426, "5608": 1426, "5610": 1426, "5613": 1426, "5559": 1426, "5622": 1426, "_mat_spect_approx": 1426, "5624": 1426, "5623": 1426, "5614": 1426, "5616": 1426, "5575": 1426, "5599": 1426, "ubunut": 1426, "lt": 1426, "5630": 1426, "5632": 1426, "5633": 1426, "weakly_connect": 1426, "5593": 1426, "5638": 1426, "5635": 1426, "5617": 1426, "5647": 1426, "5648": 1426, "5646": 1426, "5641": 1426, "5652": 1426, "brit": 1426, "guillem": 1426, "franc\u00e8": 1426, "heckman": 1426, "horst": 1426, "omkaar": 1426, "tatsuya": 1426, "shimoda": 1426, "danielolsen": 1426, "sheldonkhal": 1426, "dfs_test": 1427, "5654": 1427, "__setstate__": 1427, "_adjdict": 1427, "5657": 1427, "5500": 1427, "5645": 1428, "draw_networkx_": 1428, "5660": 1428, "5667": 1428, "5661": 1428, "5677": 1428, "beta2": 1428, "5680": 1428, "random_spanning_tre": [1428, 1431], "5656": 1428, "5673": 1428, "nonisomorphic_tre": 1428, "5682": 1428, "5668": 1428, "5683": 1428, "isort": 1428, "5659": 1428, "5684": 1428, "5685": 1428, "5687": 1428, "5690": 1428, "5689": 1428, "ratcoinc": 1428, "matu": [1428, 1429, 1430], "valo": [1428, 1429, 1430], "welch": [1428, 1434], "5567": 1429, "5308": 1429, "5693": 1429, "5697": 1429, "linegraph": 1429, "5698": 1429, "analyze_symmetri": 1429, "5696": 1429, "5700": 1429, "5701": 1429, "5699": 1429, "5709": 1429, "5675": 1429, "5710": 1429, "11b2": 1429, "5717": 1429, "lightmod": 1429, "5715": 1429, "dont": 1429, "5688": 1429, "5719": 1429, "5718": 1429, "5705": 1429, "5711": 1429, "5708": 1429, "pendingdeprec": [1429, 1434], "5721": 1429, "5728": 1429, "4553": 1429, "szabolc": 1429, "horv\u00e1t": 1429, "5707": 1430, "5713": 1430, "5792": 1430, "5793": 1430, "5795": 1430, "5797": 1430, "5800": 1430, "5809": 1430, "scipy1": 1430, "5816": 1430, "5819": 1430, "5817": 1430, "5822": 1430, "hasattr": [1430, 1434], "cached_properti": [1430, 1434], "5836": [1430, 1434], "5848": 1430, "5850": 1430, "5852": 1430, "5867": 1430, "5878": [1430, 1434], "gha": 1430, "5805": 1430, "brodi": 1430, "lior": 1430, "tomoya": 1430, "nishid": 1430, "5810": 1431, "5837": 1431, "nondetermin": 1431, "5832": 1431, "5891": 1431, "5894": 1431, "5903": 1431, "5914": 1431, "about_u": 1431, "5919": 1431, "precommit": [1431, 1434], "5923": [1431, 1434], "cruft": [1431, 1434], "5924": [1431, 1434], "5787": [1431, 1434], "5899": [1431, 1434], "unsort": 1431, "5921": 1431, "5901": 1431, "5902": 1431, "bfs_layer": 1431, "5879": 1431, "5932": 1431, "5928": 1431, "nodelink": [1431, 1434], "expir": [1431, 1434], "5933": [1431, 1434], "5531": 1431, "5736": 1431, "5452": 1431, "5868": [1431, 1434], "all_pairs_lca": 1431, "5876": 1431, "5877": 1431, "5883": [1431, 1434], "5681": [1431, 1434], "5930": 1431, "matplotlb": 1431, "5937": 1431, "tanmai": 1431, "aeron": 1431, "tigran": 1431, "khachatryan": 1431, "dhaval": 1431, "kumar": 1431, "kpetridi": 1431, "5846": 1432, "5892": [1432, 1434], "5463": 1432, "5474": 1432, "5944": 1432, "5943": [1432, 1434], "5967": [1432, 1434], "5966": 1432, "5994": 1432, "tidelift": [1432, 1433], "vulner": 1432, "6001": 1432, "linter": [1432, 1433, 1434], "6006": 1432, "juanita": [1432, 1434], "gomez": [1432, 1434], "0ddoe": 1432, "pmlpm1986": 1432, "6014": 1433, "6012": [1433, 1434], "secutiri": 1433, "6019": 1433, "6022": [1433, 1434], "6023": 1433, "6024": 1433, "6027": 1433, "6039": 1433, "6036": 1433, "6080": 1433, "6034": 1433, "6071": 1433, "6106": 1433, "richclub": 1433, "6089": 1433, "6104": 1433, "6101": 1433, "6032": 1433, "6068": 1433, "6105": 1433, "6082": 1433, "6127": 1433, "6131": 1433, "6130": 1433, "6100": 1433, "6159": 1433, "6121": 1433, "6095": 1433, "test_lowest_common_ancestor": 1433, "6110": 1433, "6099": 1433, "6155": 1433, "6152": 1433, "6126": 1433, "6132": 1433, "6165": 1433, "paula": [1433, 1434], "bianchi": [1433, 1434], "diamondjoseph": 1433, "mjh9122": 1433, "alimi": [1433, 1434], "qudirah": [1433, 1434], "okit": [1433, 1434], "chimaobi": [1433, 1434], "jefter": 1433, "santiago": 1433, "tindi": 1433, "sommer": 1433, "_succ": 1434, "_adj": 1434, "somehow": 1434, "loophol": 1434, "cugraph": 1434, "5663": 1434, "5912": 1434, "5898": 1434, "6003": 1434, "avg_shortest_path_length": 1434, "5813": 1434, "5730": 1434, "5738": 1434, "5739": 1434, "5741": 1434, "5740": 1434, "5744": 1434, "5745": 1434, "5737": 1434, "5748": 1434, "5751": 1434, "5752": 1434, "5755": 1434, "5754": 1434, "5746": 1434, "5768": 1434, "5743": 1434, "5770": 1434, "5753": 1434, "5786": 1434, "5783": 1434, "5782": 1434, "5781": 1434, "5777": 1434, "5761": 1434, "5760": 1434, "5758": 1434, "5784": 1434, "5756": 1434, "5747": 1434, "5742": 1434, "5785": 1434, "5780": 1434, "5774": 1434, "5773": 1434, "5775": 1434, "5762": 1434, "5769": 1434, "5766": 1434, "5764": 1434, "5778": 1434, "5765": 1434, "5763": 1434, "5776": 1434, "5759": 1434, "5789": 1434, "5767": 1434, "5771": 1434, "5528": 1434, "5432": 1434, "5772": 1434, "5258": 1434, "5835": 1434, "5802": 1434, "5839": 1434, "5779": 1434, "5841": 1434, "5223": 1434, "sponsorship": 1434, "5843": 1434, "efficiency_measur": 1434, "5643": 1434, "5642": 1434, "degree_alg": 1434, "5644": 1434, "5522": 1434, "docbuild": 1434, "5845": 1434, "5847": 1434, "5856": 1434, "5844": 1434, "5888": 1434, "5305": 1434, "5934": 1434, "5935": 1434, "arf": 1434, "5910": 1434, "5629": 1434, "preliminari": 1434, "5788": 1434, "vf2pp_helper": 1434, "5973": 1434, "5975": 1434, "5974": 1434, "5985": 1434, "concurr": 1434, "cancel": 1434, "job": 1434, "5986": 1434, "5984": 1434, "5993": 1434, "5999": 1434, "6008": 1434, "5972": 1434, "mappedqueu": 1434, "5939": 1434, "6031": 1434, "6037": 1434, "0b1": 1434, "6085": 1434, "6093": 1434, "6098": 1434, "5988": 1434, "6114": 1434, "disjoint_path": 1434, "6113": 1434, "6146": 1434, "find_cor": 1434, "6139": 1434, "6147": 1434, "6161": 1434, "undocu": 1434, "6183": 1434, "6176": 1434, "current_flow_between": 1434, "6143": 1434, "6184": 1434, "6185": 1434, "6153": 1434, "6160": 1434, "6145": 1434, "6030": 1434, "beamsearch": 1434, "6087": 1434, "6073": 1434, "6194": 1434, "0rc1": 1434, "test_centr": 1434, "6200": 1434, "6169": 1434, "6033": 1434, "6083": 1434, "6108": 1434, "6116": 1434, "6190": 1434, "4458": 1434, "6218": 1434, "6219": 1434, "6168": 1434, "6222": 1434, "6228": 1434, "6223": 1434, "6231": 1434, "5945": 1434, "6240": 1434, "6237": 1434, "6252": 1434, "6232": 1434, "6255": 1434, "6254": 1434, "6256": 1434, "6234": 1434, "6273": 1434, "6268": 1434, "vf2pp": 1434, "6257": 1434, "6270": 1434, "6227": 1434, "6149": 1434, "6265": 1434, "6277": 1434, "6278": 1434, "6280": 1434, "6281": 1434, "smallworld": 1434, "6151": 1434, "6286": 1434, "6272": 1434, "6298": 1434, "6295": 1434, "6215": 1434, "6310": 1434, "6296": 1434, "6322": 1434, "6323": 1434, "test_internet_as_graph": 1434, "6324": 1434, "6238": 1434, "6329": 1434, "6330": 1434, "6331": 1434, "6312": 1434, "6335": 1434, "6334": 1434, "0ddoe_": 1434, "abangma": 1434, "jessika": 1434, "anurag": 1434, "heil": 1434, "hou": 1434, "danielead": 1434, "ddelang": 1434, "araujo": 1434, "watkin": 1434, "aglionbi": 1434, "kitchen": 1434, "petridi": 1434, "ladykkk": 1434, "holtz": 1434, "morrison": 1434, "turnanski": 1434, "nsengaw4c": 1434, "radoslav": 1434, "fulek": 1434, "reneechebbo": 1434, "stevenstrickl": 1434, "tina": 1434, "oberoi": 1434, "tbd": 1435, "node_attribute_dict": 1436, "fashion": 1436, "rcsb": 1436, "bank": 1436, "375": 1436, "mondai": 1436, "inde": 1436, "tendenc": 1436, "lump": 1436, "gg": 1436, "edict": 1436, "minvalu": 1436, "k_5": 1436, "k_3_5": 1436, "er": 1436, "random_lobst": 1436, "draw_shel": 1436, "draw_random": 1436, "subax3": 1436, "subax4": 1436, "curat": 1436}, "objects": {"networkx": [[1046, 0, 1, "", "AmbiguousSolution"], [798, 0, 1, "", "DiGraph"], [1046, 0, 1, "", "ExceededMaxIterations"], [1040, 0, 1, "", "Graph"], [1046, 0, 1, "", "HasACycle"], [1042, 0, 1, "", "MultiDiGraph"], [1043, 0, 1, "", "MultiGraph"], [1046, 0, 1, "", "NetworkXAlgorithmError"], [1046, 0, 1, "", "NetworkXError"], [1046, 0, 1, "", "NetworkXException"], [1046, 0, 1, "", "NetworkXNoCycle"], [1046, 0, 1, "", "NetworkXNoPath"], [1046, 0, 1, "", "NetworkXNotImplemented"], [1046, 0, 1, "", "NetworkXPointlessConcept"], [1046, 0, 1, "", "NetworkXUnbounded"], [1046, 0, 1, "", "NetworkXUnfeasible"], [1046, 0, 1, "", "NodeNotFound"], [1046, 0, 1, "", "PowerIterationFailedConvergence"], [1044, 3, 0, "-", "convert"], [1044, 3, 0, "-", "convert_matrix"], [1046, 3, 0, "-", "exception"], [1400, 3, 0, "-", "relabel"], [1401, 3, 0, "-", "utils"]], "networkx.DiGraph": [[850, 1, 1, "", "__contains__"], [851, 1, 1, "", "__getitem__"], [852, 1, 1, "", "__init__"], [853, 1, 1, "", "__iter__"], [854, 1, 1, "", "__len__"], [855, 1, 1, "", "add_edge"], [856, 1, 1, "", "add_edges_from"], [857, 1, 1, "", "add_node"], [858, 1, 1, "", "add_nodes_from"], [859, 1, 1, "", "add_weighted_edges_from"], [860, 2, 1, "", "adj"], [861, 1, 1, "", "adjacency"], [862, 1, 1, "", "clear"], [863, 1, 1, "", "clear_edges"], [864, 1, 1, "", "copy"], [865, 2, 1, "", "degree"], [866, 1, 1, "", "edge_subgraph"], [867, 2, 1, "", "edges"], [868, 1, 1, "", "get_edge_data"], [869, 1, 1, "", "has_edge"], [870, 1, 1, "", "has_node"], [871, 2, 1, "", "in_degree"], [872, 2, 1, "", "in_edges"], [873, 1, 1, "", "nbunch_iter"], [874, 1, 1, "", "neighbors"], [875, 2, 1, "", "nodes"], [876, 1, 1, "", "number_of_edges"], [877, 1, 1, "", "number_of_nodes"], [878, 1, 1, "", "order"], [879, 2, 1, "", "out_degree"], [880, 2, 1, "", "out_edges"], [881, 2, 1, "", "pred"], [882, 1, 1, "", "predecessors"], [883, 1, 1, "", "remove_edge"], [884, 1, 1, "", "remove_edges_from"], [885, 1, 1, "", "remove_node"], [886, 1, 1, "", "remove_nodes_from"], [887, 1, 1, "", "reverse"], [888, 1, 1, "", "size"], [889, 1, 1, "", "subgraph"], [890, 2, 1, "", "succ"], [891, 1, 1, "", "successors"], [892, 1, 1, "", "to_directed"], [893, 1, 1, "", "to_undirected"], [894, 1, 1, "", "update"]], "networkx.Graph": [[895, 1, 1, "", "__contains__"], [896, 1, 1, "", "__getitem__"], [897, 1, 1, "", "__init__"], [898, 1, 1, "", "__iter__"], [899, 1, 1, "", "__len__"], [900, 1, 1, "", "add_edge"], [901, 1, 1, "", "add_edges_from"], [902, 1, 1, "", "add_node"], [903, 1, 1, "", "add_nodes_from"], [904, 1, 1, "", "add_weighted_edges_from"], [905, 2, 1, "", "adj"], [906, 1, 1, "", "adjacency"], [907, 1, 1, "", "clear"], [908, 1, 1, "", "clear_edges"], [909, 1, 1, "", "copy"], [910, 2, 1, "", "degree"], [911, 1, 1, "", "edge_subgraph"], [912, 2, 1, "", "edges"], [913, 1, 1, "", "get_edge_data"], [914, 1, 1, "", "has_edge"], [915, 1, 1, "", "has_node"], [916, 1, 1, "", "nbunch_iter"], [917, 1, 1, "", "neighbors"], [918, 2, 1, "", "nodes"], [919, 1, 1, "", "number_of_edges"], [920, 1, 1, "", "number_of_nodes"], [921, 1, 1, "", "order"], [922, 1, 1, "", "remove_edge"], [923, 1, 1, "", "remove_edges_from"], [924, 1, 1, "", "remove_node"], [925, 1, 1, "", "remove_nodes_from"], [926, 1, 1, "", "size"], [927, 1, 1, "", "subgraph"], [928, 1, 1, "", "to_directed"], [929, 1, 1, "", "to_undirected"], [930, 1, 1, "", "update"]], "networkx.MultiDiGraph": [[931, 1, 1, "", "__contains__"], [932, 1, 1, "", "__getitem__"], [933, 1, 1, "", "__init__"], [934, 1, 1, "", "__iter__"], [935, 1, 1, "", "__len__"], [936, 1, 1, "", "add_edge"], [937, 1, 1, "", "add_edges_from"], [938, 1, 1, "", "add_node"], [939, 1, 1, "", "add_nodes_from"], [940, 1, 1, "", "add_weighted_edges_from"], [941, 2, 1, "", "adj"], [942, 1, 1, "", "adjacency"], [943, 1, 1, "", "clear"], [944, 1, 1, "", "clear_edges"], [945, 1, 1, "", "copy"], [946, 2, 1, "", "degree"], [947, 1, 1, "", "edge_subgraph"], [948, 2, 1, "", "edges"], [949, 1, 1, "", "get_edge_data"], [950, 1, 1, "", "has_edge"], [951, 1, 1, "", "has_node"], [952, 2, 1, "", "in_degree"], [953, 2, 1, "", "in_edges"], [954, 1, 1, "", "nbunch_iter"], [955, 1, 1, "", "neighbors"], [956, 1, 1, "", "new_edge_key"], [957, 2, 1, "", "nodes"], [958, 1, 1, "", "number_of_edges"], [959, 1, 1, "", "number_of_nodes"], [960, 1, 1, "", "order"], [961, 2, 1, "", "out_degree"], [962, 2, 1, "", "out_edges"], [963, 2, 1, "", "pred"], [964, 1, 1, "", "predecessors"], [965, 1, 1, "", "remove_edge"], [966, 1, 1, "", "remove_edges_from"], [967, 1, 1, "", "remove_node"], [968, 1, 1, "", "remove_nodes_from"], [969, 1, 1, "", "reverse"], [970, 1, 1, "", "size"], [971, 1, 1, "", "subgraph"], [972, 2, 1, "", "succ"], [973, 1, 1, "", "successors"], [974, 1, 1, "", "to_directed"], [975, 1, 1, "", "to_undirected"], [976, 1, 1, "", "update"]], "networkx.MultiGraph": [[977, 1, 1, "", "__contains__"], [978, 1, 1, "", "__getitem__"], [979, 1, 1, "", "__init__"], [980, 1, 1, "", "__iter__"], [981, 1, 1, "", "__len__"], [982, 1, 1, "", "add_edge"], [983, 1, 1, "", "add_edges_from"], [984, 1, 1, "", "add_node"], [985, 1, 1, "", "add_nodes_from"], [986, 1, 1, "", "add_weighted_edges_from"], [987, 2, 1, "", "adj"], [988, 1, 1, "", "adjacency"], [989, 1, 1, "", "clear"], [990, 1, 1, "", "clear_edges"], [991, 1, 1, "", "copy"], [992, 2, 1, "", "degree"], [993, 1, 1, "", "edge_subgraph"], [994, 2, 1, "", "edges"], [995, 1, 1, "", "get_edge_data"], [996, 1, 1, "", "has_edge"], [997, 1, 1, "", "has_node"], [998, 1, 1, "", "nbunch_iter"], [999, 1, 1, "", "neighbors"], [1000, 1, 1, "", "new_edge_key"], [1001, 2, 1, "", "nodes"], [1002, 1, 1, "", "number_of_edges"], [1003, 1, 1, "", "number_of_nodes"], [1004, 1, 1, "", "order"], [1005, 1, 1, "", "remove_edge"], [1006, 1, 1, "", "remove_edges_from"], [1007, 1, 1, "", "remove_node"], [1008, 1, 1, "", "remove_nodes_from"], [1009, 1, 1, "", "size"], [1010, 1, 1, "", "subgraph"], [1011, 1, 1, "", "to_directed"], [1012, 1, 1, "", "to_undirected"], [1013, 1, 1, "", "update"]], "networkx.algorithms": [[113, 3, 0, "-", "approximation"], [114, 3, 0, "-", "assortativity"], [115, 3, 0, "-", "asteroidal"], [116, 3, 0, "-", "bipartite"], [117, 3, 0, "-", "boundary"], [118, 3, 0, "-", "bridges"], [119, 3, 0, "-", "centrality"], [120, 3, 0, "-", "chains"], [121, 3, 0, "-", "chordal"], [122, 3, 0, "-", "clique"], [123, 3, 0, "-", "cluster"], [124, 3, 0, "-", "coloring"], [125, 3, 0, "-", "communicability_alg"], [126, 3, 0, "-", "community"], [127, 3, 0, "-", "components"], [128, 3, 0, "-", "connectivity"], [129, 3, 0, "-", "core"], [130, 3, 0, "-", "covering"], [131, 3, 0, "-", "cuts"], [132, 3, 0, "-", "cycles"], [133, 3, 0, "-", "d_separation"], [134, 3, 0, "-", "dag"], [135, 3, 0, "-", "distance_measures"], [136, 3, 0, "-", "distance_regular"], [137, 3, 0, "-", "dominance"], [138, 3, 0, "-", "dominating"], [139, 3, 0, "-", "efficiency_measures"], [140, 3, 0, "-", "euler"], [141, 3, 0, "-", "flow"], [756, 3, 0, "-", "graph_hashing"], [757, 3, 0, "-", "graphical"], [758, 3, 0, "-", "hierarchy"], [759, 3, 0, "-", "hybrid"], [761, 3, 0, "-", "isolate"], [762, 3, 0, "-", "isomorphism"], [766, 3, 0, "-", "link_prediction"], [767, 3, 0, "-", "lowest_common_ancestors"], [768, 3, 0, "-", "matching"], [769, 3, 0, "-", "minors"], [770, 3, 0, "-", "mis"], [771, 3, 0, "-", "moral"], [772, 3, 0, "-", "node_classification"], [773, 3, 0, "-", "non_randomness"], [775, 3, 0, "-", "planar_drawing"], [776, 3, 0, "-", "planarity"], [777, 3, 0, "-", "polynomials"], [778, 3, 0, "-", "reciprocity"], [779, 3, 0, "-", "regular"], [780, 3, 0, "-", "richclub"], [782, 3, 0, "-", "similarity"], [783, 3, 0, "-", "simple_paths"], [784, 3, 0, "-", "smallworld"], [785, 3, 0, "-", "smetric"], [786, 3, 0, "-", "sparsifiers"], [787, 3, 0, "-", "structuralholes"], [788, 3, 0, "-", "summarization"], [789, 3, 0, "-", "swap"], [790, 3, 0, "-", "threshold"], [791, 3, 0, "-", "tournament"], [794, 3, 0, "-", "triads"], [795, 3, 0, "-", "vitality"], [796, 3, 0, "-", "voronoi"], [797, 3, 0, "-", "wiener"]], "networkx.algorithms.approximation": [[113, 3, 0, "-", "clique"], [113, 3, 0, "-", "clustering_coefficient"], [113, 3, 0, "-", "connectivity"], [113, 3, 0, "-", "distance_measures"], [113, 3, 0, "-", "dominating_set"], [113, 3, 0, "-", "kcomponents"], [113, 3, 0, "-", "matching"], [113, 3, 0, "-", "maxcut"], [113, 3, 0, "-", "ramsey"], [113, 3, 0, "-", "steinertree"], [113, 3, 0, "-", "traveling_salesman"], [113, 3, 0, "-", "treewidth"], [113, 3, 0, "-", "vertex_cover"]], "networkx.algorithms.approximation.clique": [[210, 4, 1, "", "clique_removal"], [211, 4, 1, "", "large_clique_size"], [212, 4, 1, "", "max_clique"], [213, 4, 1, "", "maximum_independent_set"]], "networkx.algorithms.approximation.clustering_coefficient": [[214, 4, 1, "", "average_clustering"]], "networkx.algorithms.approximation.connectivity": [[215, 4, 1, "", "all_pairs_node_connectivity"], [216, 4, 1, "", "local_node_connectivity"], [217, 4, 1, "", "node_connectivity"]], "networkx.algorithms.approximation.distance_measures": [[218, 4, 1, "", "diameter"]], "networkx.algorithms.approximation.dominating_set": [[219, 4, 1, "", "min_edge_dominating_set"], [220, 4, 1, "", "min_weighted_dominating_set"]], "networkx.algorithms.approximation.kcomponents": [[221, 4, 1, "", "k_components"]], "networkx.algorithms.approximation.matching": [[222, 4, 1, "", "min_maximal_matching"]], "networkx.algorithms.approximation.maxcut": [[223, 4, 1, "", "one_exchange"], [224, 4, 1, "", "randomized_partitioning"]], "networkx.algorithms.approximation.ramsey": [[225, 4, 1, "", "ramsey_R2"]], "networkx.algorithms.approximation.steinertree": [[226, 4, 1, "", "metric_closure"], [227, 4, 1, "", "steiner_tree"]], "networkx.algorithms.approximation.traveling_salesman": [[228, 4, 1, "", "asadpour_atsp"], [229, 4, 1, "", "christofides"], [230, 4, 1, "", "greedy_tsp"], [231, 4, 1, "", "simulated_annealing_tsp"], [232, 4, 1, "", "threshold_accepting_tsp"], [233, 4, 1, "", "traveling_salesman_problem"]], "networkx.algorithms.approximation.treewidth": [[234, 4, 1, "", "treewidth_min_degree"], [235, 4, 1, "", "treewidth_min_fill_in"]], "networkx.algorithms.approximation.vertex_cover": [[236, 4, 1, "", "min_weighted_vertex_cover"]], "networkx.algorithms.assortativity": [[237, 4, 1, "", "attribute_assortativity_coefficient"], [238, 4, 1, "", "attribute_mixing_dict"], [239, 4, 1, "", "attribute_mixing_matrix"], [240, 4, 1, "", "average_degree_connectivity"], [241, 4, 1, "", "average_neighbor_degree"], [242, 4, 1, "", "degree_assortativity_coefficient"], [243, 4, 1, "", "degree_mixing_dict"], [244, 4, 1, "", "degree_mixing_matrix"], [245, 4, 1, "", "degree_pearson_correlation_coefficient"], [246, 4, 1, "", "mixing_dict"], [247, 4, 1, "", "node_attribute_xy"], [248, 4, 1, "", "node_degree_xy"], [249, 4, 1, "", "numeric_assortativity_coefficient"]], "networkx.algorithms.asteroidal": [[250, 4, 1, "", "find_asteroidal_triple"], [251, 4, 1, "", "is_at_free"]], "networkx.algorithms.bipartite": [[116, 3, 0, "-", "basic"], [116, 3, 0, "-", "centrality"], [116, 3, 0, "-", "cluster"], [116, 3, 0, "-", "covering"], [116, 3, 0, "-", "edgelist"], [116, 3, 0, "-", "generators"], [116, 3, 0, "-", "matching"], [116, 3, 0, "-", "matrix"], [116, 3, 0, "-", "projection"], [116, 3, 0, "-", "redundancy"], [116, 3, 0, "-", "spectral"]], "networkx.algorithms.bipartite.basic": [[252, 4, 1, "", "color"], [253, 4, 1, "", "degrees"], [254, 4, 1, "", "density"], [255, 4, 1, "", "is_bipartite"], [256, 4, 1, "", "is_bipartite_node_set"], [257, 4, 1, "", "sets"]], "networkx.algorithms.bipartite.centrality": [[258, 4, 1, "", "betweenness_centrality"], [259, 4, 1, "", "closeness_centrality"], [260, 4, 1, "", "degree_centrality"]], "networkx.algorithms.bipartite.cluster": [[261, 4, 1, "", "average_clustering"], [262, 4, 1, "", "clustering"], [263, 4, 1, "", "latapy_clustering"], [264, 4, 1, "", "robins_alexander_clustering"]], "networkx.algorithms.bipartite.covering": [[265, 4, 1, "", "min_edge_cover"]], "networkx.algorithms.bipartite.edgelist": [[266, 4, 1, "", "generate_edgelist"], [267, 4, 1, "", "parse_edgelist"], [268, 4, 1, "", "read_edgelist"], [269, 4, 1, "", "write_edgelist"]], "networkx.algorithms.bipartite.generators": [[270, 4, 1, "", "alternating_havel_hakimi_graph"], [271, 4, 1, "", "complete_bipartite_graph"], [272, 4, 1, "", "configuration_model"], [273, 4, 1, "", "gnmk_random_graph"], [274, 4, 1, "", "havel_hakimi_graph"], [275, 4, 1, "", "preferential_attachment_graph"], [276, 4, 1, "", "random_graph"], [277, 4, 1, "", "reverse_havel_hakimi_graph"]], "networkx.algorithms.bipartite.matching": [[278, 4, 1, "", "eppstein_matching"], [279, 4, 1, "", "hopcroft_karp_matching"], [280, 4, 1, "", "maximum_matching"], [281, 4, 1, "", "minimum_weight_full_matching"], [282, 4, 1, "", "to_vertex_cover"]], "networkx.algorithms.bipartite.matrix": [[283, 4, 1, "", "biadjacency_matrix"], [284, 4, 1, "", "from_biadjacency_matrix"]], "networkx.algorithms.bipartite.projection": [[285, 4, 1, "", "collaboration_weighted_projected_graph"], [286, 4, 1, "", "generic_weighted_projected_graph"], [287, 4, 1, "", "overlap_weighted_projected_graph"], [288, 4, 1, "", "projected_graph"], [289, 4, 1, "", "weighted_projected_graph"]], "networkx.algorithms.bipartite.redundancy": [[290, 4, 1, "", "node_redundancy"]], "networkx.algorithms.bipartite.spectral": [[291, 4, 1, "", "spectral_bipartivity"]], "networkx.algorithms.boundary": [[292, 4, 1, "", "edge_boundary"], [293, 4, 1, "", "node_boundary"]], "networkx.algorithms.bridges": [[294, 4, 1, "", "bridges"], [295, 4, 1, "", "has_bridges"], [296, 4, 1, "", "local_bridges"]], "networkx.algorithms.centrality": [[297, 4, 1, "", "approximate_current_flow_betweenness_centrality"], [298, 4, 1, "", "betweenness_centrality"], [299, 4, 1, "", "betweenness_centrality_subset"], [300, 4, 1, "", "closeness_centrality"], [301, 4, 1, "", "communicability_betweenness_centrality"], [302, 4, 1, "", "current_flow_betweenness_centrality"], [303, 4, 1, "", "current_flow_betweenness_centrality_subset"], [304, 4, 1, "", "current_flow_closeness_centrality"], [305, 4, 1, "", "degree_centrality"], [306, 4, 1, "", "dispersion"], [307, 4, 1, "", "edge_betweenness_centrality"], [308, 4, 1, "", "edge_betweenness_centrality_subset"], [309, 4, 1, "", "edge_current_flow_betweenness_centrality"], [310, 4, 1, "", "edge_current_flow_betweenness_centrality_subset"], [311, 4, 1, "", "edge_load_centrality"], [312, 4, 1, "", "eigenvector_centrality"], [313, 4, 1, "", "eigenvector_centrality_numpy"], [314, 4, 1, "", "estrada_index"], [315, 4, 1, "", "global_reaching_centrality"], [316, 4, 1, "", "group_betweenness_centrality"], [317, 4, 1, "", "group_closeness_centrality"], [318, 4, 1, "", "group_degree_centrality"], [319, 4, 1, "", "group_in_degree_centrality"], [320, 4, 1, "", "group_out_degree_centrality"], [321, 4, 1, "", "harmonic_centrality"], [322, 4, 1, "", "in_degree_centrality"], [323, 4, 1, "", "incremental_closeness_centrality"], [324, 4, 1, "", "information_centrality"], [325, 4, 1, "", "katz_centrality"], [326, 4, 1, "", "katz_centrality_numpy"], [327, 4, 1, "", "laplacian_centrality"], [328, 4, 1, "", "load_centrality"], [329, 4, 1, "", "local_reaching_centrality"], [330, 4, 1, "", "out_degree_centrality"], [331, 4, 1, "", "percolation_centrality"], [332, 4, 1, "", "prominent_group"], [333, 4, 1, "", "second_order_centrality"], [334, 4, 1, "", "subgraph_centrality"], [335, 4, 1, "", "subgraph_centrality_exp"], [336, 4, 1, "", "trophic_differences"], [337, 4, 1, "", "trophic_incoherence_parameter"], [338, 4, 1, "", "trophic_levels"], [339, 4, 1, "", "voterank"]], "networkx.algorithms.chains": [[340, 4, 1, "", "chain_decomposition"]], "networkx.algorithms.chordal": [[341, 4, 1, "", "chordal_graph_cliques"], [342, 4, 1, "", "chordal_graph_treewidth"], [343, 4, 1, "", "complete_to_chordal_graph"], [344, 4, 1, "", "find_induced_nodes"], [345, 4, 1, "", "is_chordal"]], "networkx.algorithms.clique": [[346, 4, 1, "", "cliques_containing_node"], [347, 4, 1, "", "enumerate_all_cliques"], [348, 4, 1, "", "find_cliques"], [349, 4, 1, "", "find_cliques_recursive"], [350, 4, 1, "", "graph_clique_number"], [351, 4, 1, "", "graph_number_of_cliques"], [352, 4, 1, "", "make_clique_bipartite"], [353, 4, 1, "", "make_max_clique_graph"], [354, 4, 1, "", "max_weight_clique"], [355, 4, 1, "", "node_clique_number"], [356, 4, 1, "", "number_of_cliques"]], "networkx.algorithms.cluster": [[357, 4, 1, "", "average_clustering"], [358, 4, 1, "", "clustering"], [359, 4, 1, "", "generalized_degree"], [360, 4, 1, "", "square_clustering"], [361, 4, 1, "", "transitivity"], [362, 4, 1, "", "triangles"]], "networkx.algorithms.coloring": [[363, 4, 1, "", "equitable_color"], [364, 4, 1, "", "greedy_color"], [365, 4, 1, "", "strategy_connected_sequential"], [366, 4, 1, "", "strategy_connected_sequential_bfs"], [367, 4, 1, "", "strategy_connected_sequential_dfs"], [368, 4, 1, "", "strategy_independent_set"], [369, 4, 1, "", "strategy_largest_first"], [370, 4, 1, "", "strategy_random_sequential"], [371, 4, 1, "", "strategy_saturation_largest_first"], [372, 4, 1, "", "strategy_smallest_last"]], "networkx.algorithms.communicability_alg": [[373, 4, 1, "", "communicability"], [374, 4, 1, "", "communicability_exp"]], "networkx.algorithms.community": [[126, 3, 0, "-", "asyn_fluid"], [126, 3, 0, "-", "centrality"], [126, 3, 0, "-", "community_utils"], [126, 3, 0, "-", "kclique"], [126, 3, 0, "-", "kernighan_lin"], [126, 3, 0, "-", "label_propagation"], [126, 3, 0, "-", "louvain"], [126, 3, 0, "-", "lukes"], [126, 3, 0, "-", "modularity_max"], [126, 3, 0, "-", "quality"]], "networkx.algorithms.community.asyn_fluid": [[375, 4, 1, "", "asyn_fluidc"]], "networkx.algorithms.community.centrality": [[376, 4, 1, "", "girvan_newman"]], "networkx.algorithms.community.community_utils": [[377, 4, 1, "", "is_partition"]], "networkx.algorithms.community.kclique": [[378, 4, 1, "", "k_clique_communities"]], "networkx.algorithms.community.kernighan_lin": [[379, 4, 1, "", "kernighan_lin_bisection"]], "networkx.algorithms.community.label_propagation": [[380, 4, 1, "", "asyn_lpa_communities"], [381, 4, 1, "", "label_propagation_communities"]], "networkx.algorithms.community.louvain": [[382, 4, 1, "", "louvain_communities"], [383, 4, 1, "", "louvain_partitions"]], "networkx.algorithms.community.lukes": [[384, 4, 1, "", "lukes_partitioning"]], "networkx.algorithms.community.modularity_max": [[385, 4, 1, "", "greedy_modularity_communities"], [386, 4, 1, "", "naive_greedy_modularity_communities"]], "networkx.algorithms.community.quality": [[387, 4, 1, "", "modularity"], [388, 4, 1, "", "partition_quality"]], "networkx.algorithms.components": [[389, 4, 1, "", "articulation_points"], [390, 4, 1, "", "attracting_components"], [391, 4, 1, "", "biconnected_component_edges"], [392, 4, 1, "", "biconnected_components"], [393, 4, 1, "", "condensation"], [394, 4, 1, "", "connected_components"], [395, 4, 1, "", "is_attracting_component"], [396, 4, 1, "", "is_biconnected"], [397, 4, 1, "", "is_connected"], [398, 4, 1, "", "is_semiconnected"], [399, 4, 1, "", "is_strongly_connected"], [400, 4, 1, "", "is_weakly_connected"], [401, 4, 1, "", "kosaraju_strongly_connected_components"], [402, 4, 1, "", "node_connected_component"], [403, 4, 1, "", "number_attracting_components"], [404, 4, 1, "", "number_connected_components"], [405, 4, 1, "", "number_strongly_connected_components"], [406, 4, 1, "", "number_weakly_connected_components"], [407, 4, 1, "", "strongly_connected_components"], [408, 4, 1, "", "strongly_connected_components_recursive"], [409, 4, 1, "", "weakly_connected_components"]], "networkx.algorithms.connectivity": [[128, 3, 0, "-", "connectivity"], [128, 3, 0, "-", "cuts"], [128, 3, 0, "-", "disjoint_paths"], [128, 3, 0, "-", "edge_augmentation"], [128, 3, 0, "-", "edge_kcomponents"], [128, 3, 0, "-", "kcomponents"], [128, 3, 0, "-", "kcutsets"], [128, 3, 0, "-", "stoerwagner"], [128, 3, 0, "-", "utils"]], "networkx.algorithms.connectivity.connectivity": [[410, 4, 1, "", "all_pairs_node_connectivity"], [411, 4, 1, "", "average_node_connectivity"], [412, 4, 1, "", "edge_connectivity"], [413, 4, 1, "", "local_edge_connectivity"], [414, 4, 1, "", "local_node_connectivity"], [415, 4, 1, "", "node_connectivity"]], "networkx.algorithms.connectivity.cuts": [[416, 4, 1, "", "minimum_edge_cut"], [417, 4, 1, "", "minimum_node_cut"], [418, 4, 1, "", "minimum_st_edge_cut"], [419, 4, 1, "", "minimum_st_node_cut"]], "networkx.algorithms.connectivity.disjoint_paths": [[420, 4, 1, "", "edge_disjoint_paths"], [421, 4, 1, "", "node_disjoint_paths"]], "networkx.algorithms.connectivity.edge_augmentation": [[422, 4, 1, "", "is_k_edge_connected"], [423, 4, 1, "", "is_locally_k_edge_connected"], [424, 4, 1, "", "k_edge_augmentation"]], "networkx.algorithms.connectivity.edge_kcomponents": [[425, 0, 1, "", "EdgeComponentAuxGraph"], [426, 4, 1, "", "bridge_components"], [427, 4, 1, "", "k_edge_components"], [428, 4, 1, "", "k_edge_subgraphs"]], "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph": [[425, 1, 1, "", "__init__"], [142, 1, 1, "", "construct"], [143, 1, 1, "", "k_edge_components"], [144, 1, 1, "", "k_edge_subgraphs"]], "networkx.algorithms.connectivity.kcomponents": [[429, 4, 1, "", "k_components"]], "networkx.algorithms.connectivity.kcutsets": [[430, 4, 1, "", "all_node_cuts"]], "networkx.algorithms.connectivity.stoerwagner": [[431, 4, 1, "", "stoer_wagner"]], "networkx.algorithms.connectivity.utils": [[432, 4, 1, "", "build_auxiliary_edge_connectivity"], [433, 4, 1, "", "build_auxiliary_node_connectivity"]], "networkx.algorithms.core": [[434, 4, 1, "", "core_number"], [435, 4, 1, "", "k_core"], [436, 4, 1, "", "k_corona"], [437, 4, 1, "", "k_crust"], [438, 4, 1, "", "k_shell"], [439, 4, 1, "", "k_truss"], [440, 4, 1, "", "onion_layers"]], "networkx.algorithms.covering": [[441, 4, 1, "", "is_edge_cover"], [442, 4, 1, "", "min_edge_cover"]], "networkx.algorithms.cuts": [[443, 4, 1, "", "boundary_expansion"], [444, 4, 1, "", "conductance"], [445, 4, 1, "", "cut_size"], [446, 4, 1, "", "edge_expansion"], [447, 4, 1, "", "mixing_expansion"], [448, 4, 1, "", "node_expansion"], [449, 4, 1, "", "normalized_cut_size"], [450, 4, 1, "", "volume"]], "networkx.algorithms.cycles": [[451, 4, 1, "", "cycle_basis"], [452, 4, 1, "", "find_cycle"], [453, 4, 1, "", "minimum_cycle_basis"], [454, 4, 1, "", "recursive_simple_cycles"], [455, 4, 1, "", "simple_cycles"]], "networkx.algorithms.d_separation": [[456, 4, 1, "", "d_separated"]], "networkx.algorithms.dag": [[457, 4, 1, "", "all_topological_sorts"], [458, 4, 1, "", "ancestors"], [459, 4, 1, "", "antichains"], [460, 4, 1, "", "dag_longest_path"], [461, 4, 1, "", "dag_longest_path_length"], [462, 4, 1, "", "dag_to_branching"], [463, 4, 1, "", "descendants"], [464, 4, 1, "", "is_aperiodic"], [465, 4, 1, "", "is_directed_acyclic_graph"], [466, 4, 1, "", "lexicographical_topological_sort"], [467, 4, 1, "", "topological_generations"], [468, 4, 1, "", "topological_sort"], [469, 4, 1, "", "transitive_closure"], [470, 4, 1, "", "transitive_closure_dag"], [471, 4, 1, "", "transitive_reduction"]], "networkx.algorithms.distance_measures": [[472, 4, 1, "", "barycenter"], [473, 4, 1, "", "center"], [474, 4, 1, "", "diameter"], [475, 4, 1, "", "eccentricity"], [476, 4, 1, "", "periphery"], [477, 4, 1, "", "radius"], [478, 4, 1, "", "resistance_distance"]], "networkx.algorithms.distance_regular": [[479, 4, 1, "", "global_parameters"], [480, 4, 1, "", "intersection_array"], [481, 4, 1, "", "is_distance_regular"], [482, 4, 1, "", "is_strongly_regular"]], "networkx.algorithms.dominance": [[483, 4, 1, "", "dominance_frontiers"], [484, 4, 1, "", "immediate_dominators"]], "networkx.algorithms.dominating": [[485, 4, 1, "", "dominating_set"], [486, 4, 1, "", "is_dominating_set"]], "networkx.algorithms.efficiency_measures": [[487, 4, 1, "", "efficiency"], [488, 4, 1, "", "global_efficiency"], [489, 4, 1, "", "local_efficiency"]], "networkx.algorithms.euler": [[490, 4, 1, "", "eulerian_circuit"], [491, 4, 1, "", "eulerian_path"], [492, 4, 1, "", "eulerize"], [493, 4, 1, "", "has_eulerian_path"], [494, 4, 1, "", "is_eulerian"], [495, 4, 1, "", "is_semieulerian"]], "networkx.algorithms.flow": [[496, 4, 1, "", "boykov_kolmogorov"], [497, 4, 1, "", "build_residual_network"], [498, 4, 1, "", "capacity_scaling"], [499, 4, 1, "", "cost_of_flow"], [500, 4, 1, "", "dinitz"], [501, 4, 1, "", "edmonds_karp"], [502, 4, 1, "", "gomory_hu_tree"], [503, 4, 1, "", "max_flow_min_cost"], [504, 4, 1, "", "maximum_flow"], [505, 4, 1, "", "maximum_flow_value"], [506, 4, 1, "", "min_cost_flow"], [507, 4, 1, "", "min_cost_flow_cost"], [508, 4, 1, "", "minimum_cut"], [509, 4, 1, "", "minimum_cut_value"], [510, 4, 1, "", "network_simplex"], [511, 4, 1, "", "preflow_push"], [512, 4, 1, "", "shortest_augmenting_path"]], "networkx.algorithms.graph_hashing": [[513, 4, 1, "", "weisfeiler_lehman_graph_hash"], [514, 4, 1, "", "weisfeiler_lehman_subgraph_hashes"]], "networkx.algorithms.graphical": [[515, 4, 1, "", "is_digraphical"], [516, 4, 1, "", "is_graphical"], [517, 4, 1, "", "is_multigraphical"], [518, 4, 1, "", "is_pseudographical"], [519, 4, 1, "", "is_valid_degree_sequence_erdos_gallai"], [520, 4, 1, "", "is_valid_degree_sequence_havel_hakimi"]], "networkx.algorithms.hierarchy": [[521, 4, 1, "", "flow_hierarchy"]], "networkx.algorithms.hybrid": [[522, 4, 1, "", "is_kl_connected"], [523, 4, 1, "", "kl_connected_subgraph"]], "networkx.algorithms.isolate": [[524, 4, 1, "", "is_isolate"], [525, 4, 1, "", "isolates"], [526, 4, 1, "", "number_of_isolates"]], "networkx.algorithms.isomorphism.DiGraphMatcher": [[527, 1, 1, "", "__init__"], [528, 1, 1, "", "candidate_pairs_iter"], [529, 1, 1, "", "initialize"], [530, 1, 1, "", "is_isomorphic"], [531, 1, 1, "", "isomorphisms_iter"], [532, 1, 1, "", "match"], [533, 1, 1, "", "semantic_feasibility"], [534, 1, 1, "", "subgraph_is_isomorphic"], [535, 1, 1, "", "subgraph_isomorphisms_iter"], [536, 1, 1, "", "syntactic_feasibility"]], "networkx.algorithms.isomorphism.GraphMatcher": [[537, 1, 1, "", "__init__"], [538, 1, 1, "", "candidate_pairs_iter"], [539, 1, 1, "", "initialize"], [540, 1, 1, "", "is_isomorphic"], [541, 1, 1, "", "isomorphisms_iter"], [542, 1, 1, "", "match"], [543, 1, 1, "", "semantic_feasibility"], [544, 1, 1, "", "subgraph_is_isomorphic"], [545, 1, 1, "", "subgraph_isomorphisms_iter"], [546, 1, 1, "", "syntactic_feasibility"]], "networkx.algorithms.isomorphism": [[547, 0, 1, "", "ISMAGS"], [548, 4, 1, "", "categorical_edge_match"], [549, 4, 1, "", "categorical_multiedge_match"], [550, 4, 1, "", "categorical_node_match"], [551, 4, 1, "", "could_be_isomorphic"], [552, 4, 1, "", "fast_could_be_isomorphic"], [553, 4, 1, "", "faster_could_be_isomorphic"], [554, 4, 1, "", "generic_edge_match"], [555, 4, 1, "", "generic_multiedge_match"], [556, 4, 1, "", "generic_node_match"], [557, 4, 1, "", "is_isomorphic"], [763, 3, 0, "-", "ismags"], [764, 3, 0, "-", "isomorphvf2"], [558, 4, 1, "", "numerical_edge_match"], [559, 4, 1, "", "numerical_multiedge_match"], [560, 4, 1, "", "numerical_node_match"], [762, 3, 0, "-", "tree_isomorphism"], [762, 3, 0, "-", "vf2pp"]], "networkx.algorithms.isomorphism.ISMAGS": [[547, 1, 1, "", "__init__"], [145, 1, 1, "", "analyze_symmetry"], [146, 1, 1, "", "find_isomorphisms"], [147, 1, 1, "", "is_isomorphic"], [148, 1, 1, "", "isomorphisms_iter"], [149, 1, 1, "", "largest_common_subgraph"], [150, 1, 1, "", "subgraph_is_isomorphic"], [151, 1, 1, "", "subgraph_isomorphisms_iter"]], "networkx.algorithms.isomorphism.tree_isomorphism": [[561, 4, 1, "", "rooted_tree_isomorphism"], [562, 4, 1, "", "tree_isomorphism"]], "networkx.algorithms.isomorphism.vf2pp": [[563, 4, 1, "", "vf2pp_all_isomorphisms"], [564, 4, 1, "", "vf2pp_is_isomorphic"], [565, 4, 1, "", "vf2pp_isomorphism"]], "networkx.algorithms.link_analysis": [[765, 3, 0, "-", "hits_alg"], [765, 3, 0, "-", "pagerank_alg"]], "networkx.algorithms.link_analysis.hits_alg": [[566, 4, 1, "", "hits"]], "networkx.algorithms.link_analysis.pagerank_alg": [[567, 4, 1, "", "google_matrix"], [568, 4, 1, "", "pagerank"]], "networkx.algorithms.link_prediction": [[569, 4, 1, "", "adamic_adar_index"], [570, 4, 1, "", "cn_soundarajan_hopcroft"], [571, 4, 1, "", "common_neighbor_centrality"], [572, 4, 1, "", "jaccard_coefficient"], [573, 4, 1, "", "preferential_attachment"], [574, 4, 1, "", "ra_index_soundarajan_hopcroft"], [575, 4, 1, "", "resource_allocation_index"], [576, 4, 1, "", "within_inter_cluster"]], "networkx.algorithms.lowest_common_ancestors": [[577, 4, 1, "", "all_pairs_lowest_common_ancestor"], [578, 4, 1, "", "lowest_common_ancestor"], [579, 4, 1, "", "tree_all_pairs_lowest_common_ancestor"]], "networkx.algorithms.matching": [[580, 4, 1, "", "is_matching"], [581, 4, 1, "", "is_maximal_matching"], [582, 4, 1, "", "is_perfect_matching"], [583, 4, 1, "", "max_weight_matching"], [584, 4, 1, "", "maximal_matching"], [585, 4, 1, "", "min_weight_matching"]], "networkx.algorithms.minors": [[586, 4, 1, "", "contracted_edge"], [587, 4, 1, "", "contracted_nodes"], [588, 4, 1, "", "equivalence_classes"], [589, 4, 1, "", "identified_nodes"], [590, 4, 1, "", "quotient_graph"]], "networkx.algorithms.mis": [[591, 4, 1, "", "maximal_independent_set"]], "networkx.algorithms.moral": [[592, 4, 1, "", "moral_graph"]], "networkx.algorithms.node_classification": [[593, 4, 1, "", "harmonic_function"], [594, 4, 1, "", "local_and_global_consistency"]], "networkx.algorithms.non_randomness": [[595, 4, 1, "", "non_randomness"]], "networkx.algorithms.operators": [[774, 3, 0, "-", "all"], [774, 3, 0, "-", "binary"], [774, 3, 0, "-", "product"], [774, 3, 0, "-", "unary"]], "networkx.algorithms.operators.all": [[596, 4, 1, "", "compose_all"], [597, 4, 1, "", "disjoint_union_all"], [598, 4, 1, "", "intersection_all"], [599, 4, 1, "", "union_all"]], "networkx.algorithms.operators.binary": [[600, 4, 1, "", "compose"], [601, 4, 1, "", "difference"], [602, 4, 1, "", "disjoint_union"], [603, 4, 1, "", "full_join"], [604, 4, 1, "", "intersection"], [605, 4, 1, "", "symmetric_difference"], [606, 4, 1, "", "union"]], "networkx.algorithms.operators.product": [[607, 4, 1, "", "cartesian_product"], [608, 4, 1, "", "corona_product"], [609, 4, 1, "", "lexicographic_product"], [610, 4, 1, "", "power"], [611, 4, 1, "", "rooted_product"], [612, 4, 1, "", "strong_product"], [613, 4, 1, "", "tensor_product"]], "networkx.algorithms.operators.unary": [[614, 4, 1, "", "complement"], [615, 4, 1, "", "reverse"]], "networkx.algorithms.planar_drawing": [[616, 4, 1, "", "combinatorial_embedding_to_pos"]], "networkx.algorithms.planarity": [[617, 0, 1, "", "PlanarEmbedding"], [618, 4, 1, "", "check_planarity"], [619, 4, 1, "", "is_planar"]], "networkx.algorithms.planarity.PlanarEmbedding": [[617, 1, 1, "", "__init__"], [152, 1, 1, "", "add_edge"], [153, 1, 1, "", "add_edges_from"], [154, 1, 1, "", "add_half_edge_ccw"], [155, 1, 1, "", "add_half_edge_cw"], [156, 1, 1, "", "add_half_edge_first"], [157, 1, 1, "", "add_node"], [158, 1, 1, "", "add_nodes_from"], [159, 1, 1, "", "add_weighted_edges_from"], [160, 2, 1, "", "adj"], [161, 1, 1, "", "adjacency"], [162, 1, 1, "", "check_structure"], [163, 1, 1, "", "clear"], [164, 1, 1, "", "clear_edges"], [165, 1, 1, "", "connect_components"], [166, 1, 1, "", "copy"], [167, 2, 1, "", "degree"], [168, 1, 1, "", "edge_subgraph"], [169, 2, 1, "", "edges"], [170, 1, 1, "", "get_data"], [171, 1, 1, "", "get_edge_data"], [172, 1, 1, "", "has_edge"], [173, 1, 1, "", "has_node"], [174, 1, 1, "", "has_predecessor"], [175, 1, 1, "", "has_successor"], [176, 2, 1, "", "in_degree"], [177, 2, 1, "", "in_edges"], [178, 1, 1, "", "is_directed"], [179, 1, 1, "", "is_multigraph"], [180, 2, 1, "", "name"], [181, 1, 1, "", "nbunch_iter"], [182, 1, 1, "", "neighbors"], [183, 1, 1, "", "neighbors_cw_order"], [184, 1, 1, "", "next_face_half_edge"], [185, 2, 1, "", "nodes"], [186, 1, 1, "", "number_of_edges"], [187, 1, 1, "", "number_of_nodes"], [188, 1, 1, "", "order"], [189, 2, 1, "", "out_degree"], [190, 2, 1, "", "out_edges"], [191, 2, 1, "", "pred"], [192, 1, 1, "", "predecessors"], [193, 1, 1, "", "remove_edge"], [194, 1, 1, "", "remove_edges_from"], [195, 1, 1, "", "remove_node"], [196, 1, 1, "", "remove_nodes_from"], [197, 1, 1, "", "reverse"], [198, 1, 1, "", "set_data"], [199, 1, 1, "", "size"], [200, 1, 1, "", "subgraph"], [201, 2, 1, "", "succ"], [202, 1, 1, "", "successors"], [203, 1, 1, "", "to_directed"], [204, 1, 1, "", "to_directed_class"], [205, 1, 1, "", "to_undirected"], [206, 1, 1, "", "to_undirected_class"], [207, 1, 1, "", "traverse_face"], [208, 1, 1, "", "update"]], "networkx.algorithms.polynomials": [[620, 4, 1, "", "chromatic_polynomial"], [621, 4, 1, "", "tutte_polynomial"]], "networkx.algorithms.reciprocity": [[622, 4, 1, "", "overall_reciprocity"], [623, 4, 1, "", "reciprocity"]], "networkx.algorithms.regular": [[624, 4, 1, "", "is_k_regular"], [625, 4, 1, "", "is_regular"], [626, 4, 1, "", "k_factor"]], "networkx.algorithms.richclub": [[627, 4, 1, "", "rich_club_coefficient"]], "networkx.algorithms.shortest_paths": [[781, 3, 0, "-", "astar"], [781, 3, 0, "-", "dense"], [781, 3, 0, "-", "generic"], [781, 3, 0, "-", "unweighted"], [781, 3, 0, "-", "weighted"]], "networkx.algorithms.shortest_paths.astar": [[628, 4, 1, "", "astar_path"], [629, 4, 1, "", "astar_path_length"]], "networkx.algorithms.shortest_paths.dense": [[630, 4, 1, "", "floyd_warshall"], [631, 4, 1, "", "floyd_warshall_numpy"], [632, 4, 1, "", "floyd_warshall_predecessor_and_distance"], [633, 4, 1, "", "reconstruct_path"]], "networkx.algorithms.shortest_paths.generic": [[634, 4, 1, "", "all_shortest_paths"], [635, 4, 1, "", "average_shortest_path_length"], [636, 4, 1, "", "has_path"], [637, 4, 1, "", "shortest_path"], [638, 4, 1, "", "shortest_path_length"]], "networkx.algorithms.shortest_paths.unweighted": [[639, 4, 1, "", "all_pairs_shortest_path"], [640, 4, 1, "", "all_pairs_shortest_path_length"], [641, 4, 1, "", "bidirectional_shortest_path"], [642, 4, 1, "", "predecessor"], [643, 4, 1, "", "single_source_shortest_path"], [644, 4, 1, "", "single_source_shortest_path_length"], [645, 4, 1, "", "single_target_shortest_path"], [646, 4, 1, "", "single_target_shortest_path_length"]], "networkx.algorithms.shortest_paths.weighted": [[647, 4, 1, "", "all_pairs_bellman_ford_path"], [648, 4, 1, "", "all_pairs_bellman_ford_path_length"], [649, 4, 1, "", "all_pairs_dijkstra"], [650, 4, 1, "", "all_pairs_dijkstra_path"], [651, 4, 1, "", "all_pairs_dijkstra_path_length"], [652, 4, 1, "", "bellman_ford_path"], [653, 4, 1, "", "bellman_ford_path_length"], [654, 4, 1, "", "bellman_ford_predecessor_and_distance"], [655, 4, 1, "", "bidirectional_dijkstra"], [656, 4, 1, "", "dijkstra_path"], [657, 4, 1, "", "dijkstra_path_length"], [658, 4, 1, "", "dijkstra_predecessor_and_distance"], [659, 4, 1, "", "find_negative_cycle"], [660, 4, 1, "", "goldberg_radzik"], [661, 4, 1, "", "johnson"], [662, 4, 1, "", "multi_source_dijkstra"], [663, 4, 1, "", "multi_source_dijkstra_path"], [664, 4, 1, "", "multi_source_dijkstra_path_length"], [665, 4, 1, "", "negative_edge_cycle"], [666, 4, 1, "", "single_source_bellman_ford"], [667, 4, 1, "", "single_source_bellman_ford_path"], [668, 4, 1, "", "single_source_bellman_ford_path_length"], [669, 4, 1, "", "single_source_dijkstra"], [670, 4, 1, "", "single_source_dijkstra_path"], [671, 4, 1, "", "single_source_dijkstra_path_length"]], "networkx.algorithms.similarity": [[672, 4, 1, "", "generate_random_paths"], [673, 4, 1, "", "graph_edit_distance"], [674, 4, 1, "", "optimal_edit_paths"], [675, 4, 1, "", "optimize_edit_paths"], [676, 4, 1, "", "optimize_graph_edit_distance"], [677, 4, 1, "", "panther_similarity"], [678, 4, 1, "", "simrank_similarity"]], "networkx.algorithms.simple_paths": [[679, 4, 1, "", "all_simple_edge_paths"], [680, 4, 1, "", "all_simple_paths"], [681, 4, 1, "", "is_simple_path"], [682, 4, 1, "", "shortest_simple_paths"]], "networkx.algorithms.smallworld": [[683, 4, 1, "", "lattice_reference"], [684, 4, 1, "", "omega"], [685, 4, 1, "", "random_reference"], [686, 4, 1, "", "sigma"]], "networkx.algorithms.smetric": [[687, 4, 1, "", "s_metric"]], "networkx.algorithms.sparsifiers": [[688, 4, 1, "", "spanner"]], "networkx.algorithms.structuralholes": [[689, 4, 1, "", "constraint"], [690, 4, 1, "", "effective_size"], [691, 4, 1, "", "local_constraint"]], "networkx.algorithms.summarization": [[692, 4, 1, "", "dedensify"], [693, 4, 1, "", "snap_aggregation"]], "networkx.algorithms.swap": [[694, 4, 1, "", "connected_double_edge_swap"], [695, 4, 1, "", "directed_edge_swap"], [696, 4, 1, "", "double_edge_swap"]], "networkx.algorithms.threshold": [[697, 4, 1, "", "find_threshold_graph"], [698, 4, 1, "", "is_threshold_graph"]], "networkx.algorithms.tournament": [[699, 4, 1, "", "hamiltonian_path"], [700, 4, 1, "", "is_reachable"], [701, 4, 1, "", "is_strongly_connected"], [702, 4, 1, "", "is_tournament"], [703, 4, 1, "", "random_tournament"], [704, 4, 1, "", "score_sequence"]], "networkx.algorithms.traversal": [[792, 3, 0, "-", "beamsearch"], [792, 3, 0, "-", "breadth_first_search"], [792, 3, 0, "-", "depth_first_search"], [792, 3, 0, "-", "edgebfs"], [792, 3, 0, "-", "edgedfs"]], "networkx.algorithms.traversal.beamsearch": [[705, 4, 1, "", "bfs_beam_edges"]], "networkx.algorithms.traversal.breadth_first_search": [[706, 4, 1, "", "bfs_edges"], [707, 4, 1, "", "bfs_layers"], [708, 4, 1, "", "bfs_predecessors"], [709, 4, 1, "", "bfs_successors"], [710, 4, 1, "", "bfs_tree"], [711, 4, 1, "", "descendants_at_distance"]], "networkx.algorithms.traversal.depth_first_search": [[712, 4, 1, "", "dfs_edges"], [713, 4, 1, "", "dfs_labeled_edges"], [714, 4, 1, "", "dfs_postorder_nodes"], [715, 4, 1, "", "dfs_predecessors"], [716, 4, 1, "", "dfs_preorder_nodes"], [717, 4, 1, "", "dfs_successors"], [718, 4, 1, "", "dfs_tree"]], "networkx.algorithms.traversal.edgebfs": [[719, 4, 1, "", "edge_bfs"]], "networkx.algorithms.traversal.edgedfs": [[720, 4, 1, "", "edge_dfs"]], "networkx.algorithms.tree": [[793, 3, 0, "-", "branchings"], [793, 3, 0, "-", "coding"], [793, 3, 0, "-", "decomposition"], [793, 3, 0, "-", "mst"], [793, 3, 0, "-", "operations"], [793, 3, 0, "-", "recognition"]], "networkx.algorithms.tree.branchings": [[721, 0, 1, "", "ArborescenceIterator"], [722, 0, 1, "", "Edmonds"], [723, 4, 1, "", "branching_weight"], [724, 4, 1, "", "greedy_branching"], [725, 4, 1, "", "maximum_branching"], [726, 4, 1, "", "maximum_spanning_arborescence"], [727, 4, 1, "", "minimum_branching"], [728, 4, 1, "", "minimum_spanning_arborescence"]], "networkx.algorithms.tree.branchings.ArborescenceIterator": [[721, 1, 1, "", "__init__"]], "networkx.algorithms.tree.branchings.Edmonds": [[722, 1, 1, "", "__init__"], [209, 1, 1, "", "find_optimum"]], "networkx.algorithms.tree.coding": [[729, 5, 1, "", "NotATree"], [730, 4, 1, "", "from_nested_tuple"], [731, 4, 1, "", "from_prufer_sequence"], [732, 4, 1, "", "to_nested_tuple"], [733, 4, 1, "", "to_prufer_sequence"]], "networkx.algorithms.tree.decomposition": [[734, 4, 1, "", "junction_tree"]], "networkx.algorithms.tree.mst": [[735, 0, 1, "", "SpanningTreeIterator"], [736, 4, 1, "", "maximum_spanning_edges"], [737, 4, 1, "", "maximum_spanning_tree"], [738, 4, 1, "", "minimum_spanning_edges"], [739, 4, 1, "", "minimum_spanning_tree"], [740, 4, 1, "", "random_spanning_tree"]], "networkx.algorithms.tree.mst.SpanningTreeIterator": [[735, 1, 1, "", "__init__"]], "networkx.algorithms.tree.operations": [[741, 4, 1, "", "join"]], "networkx.algorithms.tree.recognition": [[742, 4, 1, "", "is_arborescence"], [743, 4, 1, "", "is_branching"], [744, 4, 1, "", "is_forest"], [745, 4, 1, "", "is_tree"]], "networkx.algorithms.triads": [[746, 4, 1, "", "all_triads"], [747, 4, 1, "", "all_triplets"], [748, 4, 1, "", "is_triad"], [749, 4, 1, "", "random_triad"], [750, 4, 1, "", "triad_type"], [751, 4, 1, "", "triadic_census"], [752, 4, 1, "", "triads_by_type"]], "networkx.algorithms.vitality": [[753, 4, 1, "", "closeness_vitality"]], "networkx.algorithms.voronoi": [[754, 4, 1, "", "voronoi_cells"]], "networkx.algorithms.wiener": [[755, 4, 1, "", "wiener_index"]], "networkx.classes": [[1041, 3, 0, "-", "backends"], [1041, 3, 0, "-", "coreviews"], [1041, 3, 0, "-", "filters"], [1047, 3, 0, "-", "function"], [1041, 3, 0, "-", "graphviews"]], "networkx.classes.backends": [[1014, 4, 1, "", "_dispatch"]], "networkx.classes.coreviews": [[1015, 0, 1, "", "AdjacencyView"], [1016, 0, 1, "", "AtlasView"], [1017, 0, 1, "", "FilterAdjacency"], [1018, 0, 1, "", "FilterAtlas"], [1019, 0, 1, "", "FilterMultiAdjacency"], [1020, 0, 1, "", "FilterMultiInner"], [1021, 0, 1, "", "MultiAdjacencyView"], [1022, 0, 1, "", "UnionAdjacency"], [1023, 0, 1, "", "UnionAtlas"], [1024, 0, 1, "", "UnionMultiAdjacency"], [1025, 0, 1, "", "UnionMultiInner"]], "networkx.classes.coreviews.AdjacencyView": [[1015, 1, 1, "", "__init__"], [799, 1, 1, "", "copy"], [800, 1, 1, "", "get"], [801, 1, 1, "", "items"], [802, 1, 1, "", "keys"], [803, 1, 1, "", "values"]], "networkx.classes.coreviews.AtlasView": [[1016, 1, 1, "", "__init__"], [804, 1, 1, "", "copy"], [805, 1, 1, "", "get"], [806, 1, 1, "", "items"], [807, 1, 1, "", "keys"], [808, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterAdjacency": [[1017, 1, 1, "", "__init__"], [809, 1, 1, "", "get"], [810, 1, 1, "", "items"], [811, 1, 1, "", "keys"], [812, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterAtlas": [[1018, 1, 1, "", "__init__"], [813, 1, 1, "", "get"], [814, 1, 1, "", "items"], [815, 1, 1, "", "keys"], [816, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterMultiAdjacency": [[1019, 1, 1, "", "__init__"], [817, 1, 1, "", "get"], [818, 1, 1, "", "items"], [819, 1, 1, "", "keys"], [820, 1, 1, "", "values"]], "networkx.classes.coreviews.FilterMultiInner": [[1020, 1, 1, "", "__init__"], [821, 1, 1, "", "get"], [822, 1, 1, "", "items"], [823, 1, 1, "", "keys"], [824, 1, 1, "", "values"]], "networkx.classes.coreviews.MultiAdjacencyView": [[1021, 1, 1, "", "__init__"], [825, 1, 1, "", "copy"], [826, 1, 1, "", "get"], [827, 1, 1, "", "items"], [828, 1, 1, "", "keys"], [829, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionAdjacency": [[1022, 1, 1, "", "__init__"], [830, 1, 1, "", "copy"], [831, 1, 1, "", "get"], [832, 1, 1, "", "items"], [833, 1, 1, "", "keys"], [834, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionAtlas": [[1023, 1, 1, "", "__init__"], [835, 1, 1, "", "copy"], [836, 1, 1, "", "get"], [837, 1, 1, "", "items"], [838, 1, 1, "", "keys"], [839, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionMultiAdjacency": [[1024, 1, 1, "", "__init__"], [840, 1, 1, "", "copy"], [841, 1, 1, "", "get"], [842, 1, 1, "", "items"], [843, 1, 1, "", "keys"], [844, 1, 1, "", "values"]], "networkx.classes.coreviews.UnionMultiInner": [[1025, 1, 1, "", "__init__"], [845, 1, 1, "", "copy"], [846, 1, 1, "", "get"], [847, 1, 1, "", "items"], [848, 1, 1, "", "keys"], [849, 1, 1, "", "values"]], "networkx.classes.filters": [[1026, 4, 1, "", "hide_diedges"], [1027, 4, 1, "", "hide_edges"], [1028, 4, 1, "", "hide_multidiedges"], [1029, 4, 1, "", "hide_multiedges"], [1030, 4, 1, "", "hide_nodes"], [1031, 4, 1, "", "no_filter"], [1032, 4, 1, "", "show_diedges"], [1033, 4, 1, "", "show_edges"], [1034, 4, 1, "", "show_multidiedges"], [1035, 4, 1, "", "show_multiedges"], [1036, 0, 1, "", "show_nodes"]], "networkx.classes.filters.show_nodes": [[1036, 1, 1, "", "__init__"]], "networkx.classes.function": [[1055, 4, 1, "", "add_cycle"], [1056, 4, 1, "", "add_path"], [1057, 4, 1, "", "add_star"], [1058, 4, 1, "", "all_neighbors"], [1059, 4, 1, "", "common_neighbors"], [1060, 4, 1, "", "create_empty_copy"], [1061, 4, 1, "", "degree"], [1062, 4, 1, "", "degree_histogram"], [1063, 4, 1, "", "density"], [1064, 4, 1, "", "edge_subgraph"], [1065, 4, 1, "", "edges"], [1066, 4, 1, "", "freeze"], [1067, 4, 1, "", "get_edge_attributes"], [1068, 4, 1, "", "get_node_attributes"], [1069, 4, 1, "", "induced_subgraph"], [1070, 4, 1, "", "is_directed"], [1071, 4, 1, "", "is_empty"], [1072, 4, 1, "", "is_frozen"], [1073, 4, 1, "", "is_negatively_weighted"], [1074, 4, 1, "", "is_path"], [1075, 4, 1, "", "is_weighted"], [1076, 4, 1, "", "neighbors"], [1077, 4, 1, "", "nodes"], [1078, 4, 1, "", "nodes_with_selfloops"], [1079, 4, 1, "", "non_edges"], [1080, 4, 1, "", "non_neighbors"], [1081, 4, 1, "", "number_of_edges"], [1082, 4, 1, "", "number_of_nodes"], [1083, 4, 1, "", "number_of_selfloops"], [1084, 4, 1, "", "path_weight"], [1085, 4, 1, "", "restricted_view"], [1086, 4, 1, "", "reverse_view"], [1087, 4, 1, "", "selfloop_edges"], [1088, 4, 1, "", "set_edge_attributes"], [1089, 4, 1, "", "set_node_attributes"], [1090, 4, 1, "", "subgraph"], [1091, 4, 1, "", "subgraph_view"], [1092, 4, 1, "", "to_directed"], [1093, 4, 1, "", "to_undirected"]], "networkx.classes.graphviews": [[1037, 4, 1, "", "generic_graph_view"], [1038, 4, 1, "", "reverse_view"], [1039, 4, 1, "", "subgraph_view"]], "networkx.convert": [[1094, 4, 1, "", "from_dict_of_dicts"], [1095, 4, 1, "", "from_dict_of_lists"], [1096, 4, 1, "", "from_edgelist"], [1097, 4, 1, "", "to_dict_of_dicts"], [1098, 4, 1, "", "to_dict_of_lists"], [1099, 4, 1, "", "to_edgelist"], [1100, 4, 1, "", "to_networkx_graph"]], "networkx.convert_matrix": [[1101, 4, 1, "", "from_numpy_array"], [1102, 4, 1, "", "from_pandas_adjacency"], [1103, 4, 1, "", "from_pandas_edgelist"], [1104, 4, 1, "", "from_scipy_sparse_array"], [1105, 4, 1, "", "to_numpy_array"], [1106, 4, 1, "", "to_pandas_adjacency"], [1107, 4, 1, "", "to_pandas_edgelist"], [1108, 4, 1, "", "to_scipy_sparse_array"]], "networkx.drawing": [[1045, 3, 0, "-", "layout"], [1045, 3, 0, "-", "nx_agraph"], [1045, 3, 0, "-", "nx_latex"], [1045, 3, 0, "-", "nx_pydot"], [1045, 3, 0, "-", "nx_pylab"]], "networkx.drawing.layout": [[1109, 4, 1, "", "bipartite_layout"], [1110, 4, 1, "", "circular_layout"], [1111, 4, 1, "", "kamada_kawai_layout"], [1112, 4, 1, "", "multipartite_layout"], [1113, 4, 1, "", "planar_layout"], [1114, 4, 1, "", "random_layout"], [1115, 4, 1, "", "rescale_layout"], [1116, 4, 1, "", "rescale_layout_dict"], [1117, 4, 1, "", "shell_layout"], [1118, 4, 1, "", "spectral_layout"], [1119, 4, 1, "", "spiral_layout"], [1120, 4, 1, "", "spring_layout"]], "networkx.drawing.nx_agraph": [[1121, 4, 1, "", "from_agraph"], [1122, 4, 1, "", "graphviz_layout"], [1123, 4, 1, "", "pygraphviz_layout"], [1124, 4, 1, "", "read_dot"], [1125, 4, 1, "", "to_agraph"], [1126, 4, 1, "", "write_dot"]], "networkx.drawing.nx_latex": [[1127, 4, 1, "", "to_latex"], [1128, 4, 1, "", "to_latex_raw"], [1129, 4, 1, "", "write_latex"]], "networkx.drawing.nx_pydot": [[1130, 4, 1, "", "from_pydot"], [1131, 4, 1, "", "graphviz_layout"], [1132, 4, 1, "", "pydot_layout"], [1133, 4, 1, "", "read_dot"], [1134, 4, 1, "", "to_pydot"], [1135, 4, 1, "", "write_dot"]], "networkx.drawing.nx_pylab": [[1136, 4, 1, "", "draw"], [1137, 4, 1, "", "draw_circular"], [1138, 4, 1, "", "draw_kamada_kawai"], [1139, 4, 1, "", "draw_networkx"], [1140, 4, 1, "", "draw_networkx_edge_labels"], [1141, 4, 1, "", "draw_networkx_edges"], [1142, 4, 1, "", "draw_networkx_labels"], [1143, 4, 1, "", "draw_networkx_nodes"], [1144, 4, 1, "", "draw_planar"], [1145, 4, 1, "", "draw_random"], [1146, 4, 1, "", "draw_shell"], [1147, 4, 1, "", "draw_spectral"], [1148, 4, 1, "", "draw_spring"]], "networkx.generators": [[1329, 3, 0, "-", "atlas"], [1329, 3, 0, "-", "classic"], [1329, 3, 0, "-", "cographs"], [1329, 3, 0, "-", "community"], [1329, 3, 0, "-", "degree_seq"], [1329, 3, 0, "-", "directed"], [1329, 3, 0, "-", "duplication"], [1329, 3, 0, "-", "ego"], [1329, 3, 0, "-", "expanders"], [1329, 3, 0, "-", "geometric"], [1329, 3, 0, "-", "harary_graph"], [1329, 3, 0, "-", "internet_as_graphs"], [1329, 3, 0, "-", "intersection"], [1329, 3, 0, "-", "interval_graph"], [1329, 3, 0, "-", "joint_degree_seq"], [1329, 3, 0, "-", "lattice"], [1329, 3, 0, "-", "line"], [1329, 3, 0, "-", "mycielski"], [1329, 3, 0, "-", "nonisomorphic_trees"], [1329, 3, 0, "-", "random_clustered"], [1329, 3, 0, "-", "random_graphs"], [1329, 3, 0, "-", "small"], [1329, 3, 0, "-", "social"], [1329, 3, 0, "-", "spectral_graph_forge"], [1329, 3, 0, "-", "stochastic"], [1329, 3, 0, "-", "sudoku"], [1329, 3, 0, "-", "trees"], [1329, 3, 0, "-", "triads"]], "networkx.generators.atlas": [[1149, 4, 1, "", "graph_atlas"], [1150, 4, 1, "", "graph_atlas_g"]], "networkx.generators.classic": [[1151, 4, 1, "", "balanced_tree"], [1152, 4, 1, "", "barbell_graph"], [1153, 4, 1, "", "binomial_tree"], [1154, 4, 1, "", "circulant_graph"], [1155, 4, 1, "", "circular_ladder_graph"], [1156, 4, 1, "", "complete_graph"], [1157, 4, 1, "", "complete_multipartite_graph"], [1158, 4, 1, "", "cycle_graph"], [1159, 4, 1, "", "dorogovtsev_goltsev_mendes_graph"], [1160, 4, 1, "", "empty_graph"], [1161, 4, 1, "", "full_rary_tree"], [1162, 4, 1, "", "ladder_graph"], [1163, 4, 1, "", "lollipop_graph"], [1164, 4, 1, "", "null_graph"], [1165, 4, 1, "", "path_graph"], [1166, 4, 1, "", "star_graph"], [1167, 4, 1, "", "trivial_graph"], [1168, 4, 1, "", "turan_graph"], [1169, 4, 1, "", "wheel_graph"]], "networkx.generators.cographs": [[1170, 4, 1, "", "random_cograph"]], "networkx.generators.community": [[1171, 4, 1, "", "LFR_benchmark_graph"], [1172, 4, 1, "", "caveman_graph"], [1173, 4, 1, "", "connected_caveman_graph"], [1174, 4, 1, "", "gaussian_random_partition_graph"], [1175, 4, 1, "", "planted_partition_graph"], [1176, 4, 1, "", "random_partition_graph"], [1177, 4, 1, "", "relaxed_caveman_graph"], [1178, 4, 1, "", "ring_of_cliques"], [1179, 4, 1, "", "stochastic_block_model"], [1180, 4, 1, "", "windmill_graph"]], "networkx.generators.degree_seq": [[1181, 4, 1, "", "configuration_model"], [1182, 4, 1, "", "degree_sequence_tree"], [1183, 4, 1, "", "directed_configuration_model"], [1184, 4, 1, "", "directed_havel_hakimi_graph"], [1185, 4, 1, "", "expected_degree_graph"], [1186, 4, 1, "", "havel_hakimi_graph"], [1187, 4, 1, "", "random_degree_sequence_graph"]], "networkx.generators.directed": [[1188, 4, 1, "", "gn_graph"], [1189, 4, 1, "", "gnc_graph"], [1190, 4, 1, "", "gnr_graph"], [1191, 4, 1, "", "random_k_out_graph"], [1192, 4, 1, "", "scale_free_graph"]], "networkx.generators.duplication": [[1193, 4, 1, "", "duplication_divergence_graph"], [1194, 4, 1, "", "partial_duplication_graph"]], "networkx.generators.ego": [[1195, 4, 1, "", "ego_graph"]], "networkx.generators.expanders": [[1196, 4, 1, "", "chordal_cycle_graph"], [1197, 4, 1, "", "margulis_gabber_galil_graph"], [1198, 4, 1, "", "paley_graph"]], "networkx.generators.geometric": [[1199, 4, 1, "", "geographical_threshold_graph"], [1200, 4, 1, "", "geometric_edges"], [1201, 4, 1, "", "navigable_small_world_graph"], [1202, 4, 1, "", "random_geometric_graph"], [1203, 4, 1, "", "soft_random_geometric_graph"], [1204, 4, 1, "", "thresholded_random_geometric_graph"], [1205, 4, 1, "", "waxman_graph"]], "networkx.generators.harary_graph": [[1206, 4, 1, "", "hkn_harary_graph"], [1207, 4, 1, "", "hnm_harary_graph"]], "networkx.generators.internet_as_graphs": [[1208, 4, 1, "", "random_internet_as_graph"]], "networkx.generators.intersection": [[1209, 4, 1, "", "general_random_intersection_graph"], [1210, 4, 1, "", "k_random_intersection_graph"], [1211, 4, 1, "", "uniform_random_intersection_graph"]], "networkx.generators.interval_graph": [[1212, 4, 1, "", "interval_graph"]], "networkx.generators.joint_degree_seq": [[1213, 4, 1, "", "directed_joint_degree_graph"], [1214, 4, 1, "", "is_valid_directed_joint_degree"], [1215, 4, 1, "", "is_valid_joint_degree"], [1216, 4, 1, "", "joint_degree_graph"]], "networkx.generators.lattice": [[1217, 4, 1, "", "grid_2d_graph"], [1218, 4, 1, "", "grid_graph"], [1219, 4, 1, "", "hexagonal_lattice_graph"], [1220, 4, 1, "", "hypercube_graph"], [1221, 4, 1, "", "triangular_lattice_graph"]], "networkx.generators.line": [[1222, 4, 1, "", "inverse_line_graph"], [1223, 4, 1, "", "line_graph"]], "networkx.generators.mycielski": [[1224, 4, 1, "", "mycielski_graph"], [1225, 4, 1, "", "mycielskian"]], "networkx.generators.nonisomorphic_trees": [[1226, 4, 1, "", "nonisomorphic_trees"], [1227, 4, 1, "", "number_of_nonisomorphic_trees"]], "networkx.generators.random_clustered": [[1228, 4, 1, "", "random_clustered_graph"]], "networkx.generators.random_graphs": [[1229, 4, 1, "", "barabasi_albert_graph"], [1230, 4, 1, "", "binomial_graph"], [1231, 4, 1, "", "connected_watts_strogatz_graph"], [1232, 4, 1, "", "dense_gnm_random_graph"], [1233, 4, 1, "", "dual_barabasi_albert_graph"], [1234, 4, 1, "", "erdos_renyi_graph"], [1235, 4, 1, "", "extended_barabasi_albert_graph"], [1236, 4, 1, "", "fast_gnp_random_graph"], [1237, 4, 1, "", "gnm_random_graph"], [1238, 4, 1, "", "gnp_random_graph"], [1239, 4, 1, "", "newman_watts_strogatz_graph"], [1240, 4, 1, "", "powerlaw_cluster_graph"], [1241, 4, 1, "", "random_kernel_graph"], [1242, 4, 1, "", "random_lobster"], [1243, 4, 1, "", "random_powerlaw_tree"], [1244, 4, 1, "", "random_powerlaw_tree_sequence"], [1245, 4, 1, "", "random_regular_graph"], [1246, 4, 1, "", "random_shell_graph"], [1247, 4, 1, "", "watts_strogatz_graph"]], "networkx.generators.small": [[1248, 4, 1, "", "LCF_graph"], [1249, 4, 1, "", "bull_graph"], [1250, 4, 1, "", "chvatal_graph"], [1251, 4, 1, "", "cubical_graph"], [1252, 4, 1, "", "desargues_graph"], [1253, 4, 1, "", "diamond_graph"], [1254, 4, 1, "", "dodecahedral_graph"], [1255, 4, 1, "", "frucht_graph"], [1256, 4, 1, "", "heawood_graph"], [1257, 4, 1, "", "hoffman_singleton_graph"], [1258, 4, 1, "", "house_graph"], [1259, 4, 1, "", "house_x_graph"], [1260, 4, 1, "", "icosahedral_graph"], [1261, 4, 1, "", "krackhardt_kite_graph"], [1262, 4, 1, "", "moebius_kantor_graph"], [1263, 4, 1, "", "octahedral_graph"], [1264, 4, 1, "", "pappus_graph"], [1265, 4, 1, "", "petersen_graph"], [1266, 4, 1, "", "sedgewick_maze_graph"], [1267, 4, 1, "", "tetrahedral_graph"], [1268, 4, 1, "", "truncated_cube_graph"], [1269, 4, 1, "", "truncated_tetrahedron_graph"], [1270, 4, 1, "", "tutte_graph"]], "networkx.generators.social": [[1271, 4, 1, "", "davis_southern_women_graph"], [1272, 4, 1, "", "florentine_families_graph"], [1273, 4, 1, "", "karate_club_graph"], [1274, 4, 1, "", "les_miserables_graph"]], "networkx.generators.spectral_graph_forge": [[1275, 4, 1, "", "spectral_graph_forge"]], "networkx.generators.stochastic": [[1276, 4, 1, "", "stochastic_graph"]], "networkx.generators.sudoku": [[1277, 4, 1, "", "sudoku_graph"]], "networkx.generators.trees": [[1278, 4, 1, "", "prefix_tree"], [1279, 4, 1, "", "random_tree"]], "networkx.generators.triads": [[1280, 4, 1, "", "triad_graph"]], "networkx.linalg": [[1333, 3, 0, "-", "algebraicconnectivity"], [1333, 3, 0, "-", "attrmatrix"], [1333, 3, 0, "-", "bethehessianmatrix"], [1333, 3, 0, "-", "graphmatrix"], [1333, 3, 0, "-", "laplacianmatrix"], [1333, 3, 0, "-", "modularitymatrix"], [1333, 3, 0, "-", "spectrum"]], "networkx.linalg.algebraicconnectivity": [[1281, 4, 1, "", "algebraic_connectivity"], [1282, 4, 1, "", "fiedler_vector"], [1283, 4, 1, "", "spectral_ordering"]], "networkx.linalg.attrmatrix": [[1284, 4, 1, "", "attr_matrix"], [1285, 4, 1, "", "attr_sparse_matrix"]], "networkx.linalg.bethehessianmatrix": [[1286, 4, 1, "", "bethe_hessian_matrix"]], "networkx.linalg.graphmatrix": [[1287, 4, 1, "", "adjacency_matrix"], [1288, 4, 1, "", "incidence_matrix"]], "networkx.linalg.laplacianmatrix": [[1289, 4, 1, "", "directed_combinatorial_laplacian_matrix"], [1290, 4, 1, "", "directed_laplacian_matrix"], [1291, 4, 1, "", "laplacian_matrix"], [1292, 4, 1, "", "normalized_laplacian_matrix"]], "networkx.linalg.modularitymatrix": [[1293, 4, 1, "", "directed_modularity_matrix"], [1294, 4, 1, "", "modularity_matrix"]], "networkx.linalg.spectrum": [[1295, 4, 1, "", "adjacency_spectrum"], [1296, 4, 1, "", "bethe_hessian_spectrum"], [1297, 4, 1, "", "laplacian_spectrum"], [1298, 4, 1, "", "modularity_spectrum"], [1299, 4, 1, "", "normalized_laplacian_spectrum"]], "networkx.readwrite": [[1335, 3, 0, "-", "adjlist"], [1336, 3, 0, "-", "edgelist"], [1389, 3, 0, "-", "gexf"], [1390, 3, 0, "-", "gml"], [1398, 3, 0, "-", "graph6"], [1391, 3, 0, "-", "graphml"], [1393, 3, 0, "-", "json_graph"], [1394, 3, 0, "-", "leda"], [1396, 3, 0, "-", "multiline_adjlist"], [1397, 3, 0, "-", "pajek"], [1398, 3, 0, "-", "sparse6"], [1399, 3, 0, "-", "text"]], "networkx.readwrite.adjlist": [[1337, 4, 1, "", "generate_adjlist"], [1338, 4, 1, "", "parse_adjlist"], [1339, 4, 1, "", "read_adjlist"], [1340, 4, 1, "", "write_adjlist"]], "networkx.readwrite.edgelist": [[1341, 4, 1, "", "generate_edgelist"], [1342, 4, 1, "", "parse_edgelist"], [1343, 4, 1, "", "read_edgelist"], [1344, 4, 1, "", "read_weighted_edgelist"], [1345, 4, 1, "", "write_edgelist"], [1346, 4, 1, "", "write_weighted_edgelist"]], "networkx.readwrite.gexf": [[1347, 4, 1, "", "generate_gexf"], [1348, 4, 1, "", "read_gexf"], [1349, 4, 1, "", "relabel_gexf_graph"], [1350, 4, 1, "", "write_gexf"]], "networkx.readwrite.gml": [[1351, 4, 1, "", "generate_gml"], [1352, 4, 1, "", "literal_destringizer"], [1353, 4, 1, "", "literal_stringizer"], [1354, 4, 1, "", "parse_gml"], [1355, 4, 1, "", "read_gml"], [1356, 4, 1, "", "write_gml"]], "networkx.readwrite.graph6": [[1357, 4, 1, "", "from_graph6_bytes"], [1358, 4, 1, "", "read_graph6"], [1359, 4, 1, "", "to_graph6_bytes"], [1360, 4, 1, "", "write_graph6"]], "networkx.readwrite.graphml": [[1361, 4, 1, "", "generate_graphml"], [1362, 4, 1, "", "parse_graphml"], [1363, 4, 1, "", "read_graphml"], [1364, 4, 1, "", "write_graphml"]], "networkx.readwrite.json_graph": [[1365, 4, 1, "", "adjacency_data"], [1366, 4, 1, "", "adjacency_graph"], [1367, 4, 1, "", "cytoscape_data"], [1368, 4, 1, "", "cytoscape_graph"], [1369, 4, 1, "", "node_link_data"], [1370, 4, 1, "", "node_link_graph"], [1371, 4, 1, "", "tree_data"], [1372, 4, 1, "", "tree_graph"]], "networkx.readwrite.leda": [[1373, 4, 1, "", "parse_leda"], [1374, 4, 1, "", "read_leda"]], "networkx.readwrite.multiline_adjlist": [[1375, 4, 1, "", "generate_multiline_adjlist"], [1376, 4, 1, "", "parse_multiline_adjlist"], [1377, 4, 1, "", "read_multiline_adjlist"], [1378, 4, 1, "", "write_multiline_adjlist"]], "networkx.readwrite.pajek": [[1379, 4, 1, "", "generate_pajek"], [1380, 4, 1, "", "parse_pajek"], [1381, 4, 1, "", "read_pajek"], [1382, 4, 1, "", "write_pajek"]], "networkx.readwrite.sparse6": [[1383, 4, 1, "", "from_sparse6_bytes"], [1384, 4, 1, "", "read_sparse6"], [1385, 4, 1, "", "to_sparse6_bytes"], [1386, 4, 1, "", "write_sparse6"]], "networkx.readwrite.text": [[1387, 4, 1, "", "generate_network_text"], [1388, 4, 1, "", "write_network_text"]], "networkx.relabel": [[1300, 4, 1, "", "convert_node_labels_to_integers"], [1301, 4, 1, "", "relabel_nodes"]], "networkx.utils": [[1401, 3, 0, "-", "decorators"], [1401, 3, 0, "-", "mapped_queue"], [1401, 3, 0, "-", "misc"], [1401, 3, 0, "-", "random_sequence"], [1401, 3, 0, "-", "rcm"], [1401, 3, 0, "-", "union_find"]], "networkx.utils.decorators": [[1302, 0, 1, "", "argmap"], [1303, 4, 1, "", "nodes_or_number"], [1304, 4, 1, "", "not_implemented_for"], [1305, 4, 1, "", "np_random_state"], [1306, 4, 1, "", "open_file"], [1307, 4, 1, "", "py_random_state"]], "networkx.utils.decorators.argmap": [[1302, 1, 1, "", "__init__"], [1048, 1, 1, "", "assemble"], [1049, 1, 1, "", "compile"], [1050, 1, 1, "", "signature"]], "networkx.utils.mapped_queue": [[1308, 0, 1, "", "MappedQueue"]], "networkx.utils.mapped_queue.MappedQueue": [[1308, 1, 1, "", "__init__"], [1051, 1, 1, "", "pop"], [1052, 1, 1, "", "push"], [1053, 1, 1, "", "remove"], [1054, 1, 1, "", "update"]], "networkx.utils.misc": [[1309, 4, 1, "", "arbitrary_element"], [1310, 4, 1, "", "create_py_random_state"], [1311, 4, 1, "", "create_random_state"], [1312, 4, 1, "", "dict_to_numpy_array"], [1313, 4, 1, "", "edges_equal"], [1314, 4, 1, "", "flatten"], [1315, 4, 1, "", "graphs_equal"], [1316, 4, 1, "", "groups"], [1317, 4, 1, "", "make_list_of_ints"], [1318, 4, 1, "", "nodes_equal"], [1319, 4, 1, "", "pairwise"]], "networkx.utils.random_sequence": [[1320, 4, 1, "", "cumulative_distribution"], [1321, 4, 1, "", "discrete_sequence"], [1322, 4, 1, "", "powerlaw_sequence"], [1323, 4, 1, "", "random_weighted_sample"], [1324, 4, 1, "", "weighted_choice"], [1325, 4, 1, "", "zipf_rv"]], "networkx.utils.rcm": [[1326, 4, 1, "", "cuthill_mckee_ordering"], [1327, 4, 1, "", "reverse_cuthill_mckee_ordering"]], "networkx.utils.union_find.UnionFind": [[1328, 1, 1, "", "union"]]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:property", "3": "py:module", "4": "py:function", "5": "py:exception"}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "property", "Python property"], "3": ["py", "module", "Python module"], "4": ["py", "function", "Python function"], "5": ["py", "exception", "Python exception"]}, "titleterms": {"3d": [0, 87], "draw": [0, 24, 74, 87, 775, 1045, 1136, 1332, 1436], "mayavi2": 1, "basic": [2, 19, 87, 116, 1041, 1332], "matplotlib": [2, 106, 1045], "comput": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91], "time": [3, 18, 23, 48, 52, 60, 73, 79, 86, 91], "algorithm": [4, 87, 98, 106, 425, 547, 617, 721, 722, 735, 760, 762, 763, 764, 781, 1332, 1401, 1406, 1407, 1408, 1414], "beam": [5, 792], "search": [5, 792], "node": [5, 25, 27, 38, 128, 185, 772, 798, 875, 918, 957, 1001, 1040, 1042, 1043, 1047, 1077, 1332, 1400, 1403, 1415, 1436], "high": 5, "central": [5, 6, 12, 116, 119, 126], "between": [6, 14, 119], "blockmodel": 7, "circuit": 8, "creat": [8, 17, 1041, 1436], "an": [8, 17, 98, 112], "exampl": [8, 17, 53, 94, 98, 133, 762, 764, 1044, 1045, 1395, 1402, 1403, 1411, 1415], "boolean": 8, "davi": 9, "club": [9, 67, 780], "dedensif": 10, "iter": 11, "dynam": 11, "system": 11, "sum": 11, "cube": 11, "3n": 11, "The": [11, 101, 1045], "gener": [11, 104, 116, 1329, 1401, 1403, 1414, 1436], "problem": [11, 45, 113], "1": [11, 101, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1413, 1415, 1417, 1424, 1426, 1435, 1436], "krackhardt": 12, "maximum": [13, 141], "independ": [13, 770], "set": [13, 56, 113, 138, 257, 770], "parallel": [14, 1042, 1043], "revers": [15, 197, 615, 887, 969], "cuthil": [15, 1401], "mckee": [15, 1401], "snap": 16, "graph": [16, 17, 21, 22, 29, 31, 40, 47, 55, 56, 58, 59, 61, 72, 87, 90, 103, 134, 136, 756, 764, 777, 781, 790, 798, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 1040, 1041, 1042, 1043, 1044, 1045, 1047, 1329, 1332, 1333, 1392, 1403, 1407, 1408, 1436], "summari": 16, "subgraph": [17, 119, 200, 764, 798, 889, 927, 971, 1010, 1040, 1042, 1043, 1090, 1402, 1403], "direct": [17, 29, 134, 798, 1042, 1329, 1403, 1436], "plot": 17, "origin": 17, "calcul": [17, 106], "all": 17, "result": 17, "intemedi": 17, "step": 17, "everi": 17, "list": [17, 1044, 1335, 1336, 1396], "put": 17, "back": 17, "from": [17, 55, 56, 58, 59, 94, 1044, 1413, 1414, 1436], "check": 17, "reconstruct": 17, "ar": 17, "isomorph": [17, 106, 547, 762, 764, 1329, 1408], "properti": 20, "read": [21, 1392, 1436], "write": [21, 1392, 1413], "simpl": [22, 43, 783], "custom": [25, 27], "posit": 25, "chess": 26, "master": 26, "icon": 27, "degre": [28, 63, 65, 114, 119, 167, 253, 757, 865, 910, 946, 992, 1061, 1329], "analysi": [28, 765], "edg": [30, 128, 169, 792, 798, 867, 912, 948, 994, 1040, 1042, 1043, 1047, 1065, 1332, 1336, 1402, 1403, 1436], "colormap": [30, 38], "ego": [31, 1329], "eigenvalu": 32, "four": 33, "grid": [33, 77], "hous": 34, "With": 34, "color": [34, 36, 39, 124, 252], "knuth": 35, "mile": 35, "label": [36, 126], "And": [36, 101], "multipartit": 37, "layout": [37, 62, 80, 87, 1045], "rainbow": 39, "refer": [39, 94, 100, 133, 762, 763, 764, 769, 772, 1045, 1329, 1331], "random": [40, 104, 773, 1329, 1334, 1401, 1407, 1414], "geometr": [40, 1329, 1407], "sampson": 41, "self": [42, 798, 1040, 1042, 1043, 1047, 1402], "loop": [42, 798, 1040, 1042, 1043, 1047, 1402], "path": [43, 119, 128, 133, 141, 781, 783, 1047, 1406], "spectral": [44, 116, 1329], "embed": 44, "travel": [45, 113], "salesman": [45, 113], "unix": 46, "email": 46, "weight": [47, 1403, 1407, 1408], "extern": [49, 87], "librari": [49, 53, 87, 106], "javascript": 50, "igraph": 51, "networkx": [51, 98, 106, 425, 547, 617, 721, 722, 735, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1044, 1302, 1308, 1332, 1402, 1403, 1404, 1405, 1406, 1407, 1408, 1409, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434], "geospati": [53, 54, 87], "descript": [53, 102, 103, 104, 105], "python": [53, 106, 111, 1414], "kei": [53, 802, 807, 811, 815, 819, 823, 828, 833, 838, 843, 848], "concept": 53, "learn": 53, "more": 53, "delaunai": 55, "geograph": [55, 58], "point": [55, 58], "line": [56, 1329], "openstreetmap": 57, "osmnx": 57, "polygon": 59, "dag": 62, "topolog": 62, "sequenc": [63, 65, 757, 1329, 1401], "erdo": 64, "renyi": 64, "expect": 65, "footbal": 66, "karat": 67, "mors": 68, "trie": 68, "napoleon": 69, "russian": 69, "campaign": 69, "roget": 70, "triad": [71, 794, 1329], "word": 72, "ladder": 72, "graphviz": [74, 80, 87, 1045], "attribut": [75, 1047, 1333, 1403, 1414, 1436], "convers": 76, "2d": 77, "atla": [78, 81, 1329], "circular": 82, "tree": [82, 113, 126, 141, 721, 722, 735, 762, 793, 1329], "decomposit": [83, 793], "giant": 84, "compon": [84, 113, 127, 128], "lanl": 85, "rout": 85, "galleri": [87, 98], "subclass": [87, 88], "antigraph": 89, "print": 90, "about": 92, "u": 92, "core": [92, 95, 101, 109, 129, 1041], "develop": [92, 94, 95, 97, 101, 109, 112], "emeritu": [92, 109], "contributor": [92, 94, 98, 101, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "support": [92, 1414], "code": [93, 98, 1045, 1402, 1403, 1413, 1414], "conduct": [93, 95, 444], "introduct": [93, 762, 764, 1332], "specif": [93, 98], "guidelin": [93, 94], "divers": 93, "statement": 93, "report": [93, 798, 1040, 1042, 1043, 1332], "incid": 93, "resolut": [93, 100, 102], "enforc": 93, "endnot": 93, "guid": [94, 95, 1413, 1414, 1436], "workflow": [94, 100], "diverg": [94, 1329], "upstream": 94, "main": [94, 1411], "test": [94, 112, 793, 1041], "ad": [94, 798, 1040, 1042, 1043, 1402, 1403, 1415, 1436], "imag": 94, "comparison": 94, "bug": [94, 1402, 1407, 1410, 1415], "polici": [94, 96, 98], "review": [95, 100], "how": [95, 98, 100], "A": [95, 781], "good": 95, "merg": [95, 1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "onli": 95, "chang": [95, 1402, 1403, 1404, 1405, 1406, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435], "you": 95, "understand": 95, "close": [95, 119], "issu": [95, 98], "pull": 95, "request": 95, "further": 95, "resourc": 95, "deprec": [96, 1414, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435], "todo": 96, "version": [96, 112, 1402, 1403, 1413], "3": [96, 103, 1414, 1415, 1419, 1428, 1434, 1435, 1436], "0": [96, 100, 1402, 1403, 1413, 1414, 1415, 1416, 1434], "2": [96, 102, 1413, 1414, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1436], "new": [98, 1402, 1403, 1404, 1406, 1407, 1411, 1415], "faq": 98, "q": 98, "i": [98, 100, 1041], "m": 98, "open": 98, "sourc": [98, 112], "would": 98, "like": 98, "contribut": 98, "do": 98, "get": [98, 800, 805, 809, 813, 817, 821, 826, 831, 836, 841, 846], "start": 98, "ve": 98, "found": 98, "interest": 98, "can": 98, "have": 98, "assign": 98, "me": 98, "want": 98, "work": [98, 102, 103, 104, 105, 1413], "function": [98, 116, 1047, 1401, 1403, 1404, 1411], "find": 98, "what": [98, 100, 1436], "decid": 98, "whether": 98, "includ": 98, "nxep": [99, 100, 101, 102, 103, 104, 105, 1422], "purpos": 100, "process": [100, 101, 107], "type": [100, 1041], "becom": 100, "accept": 100, "mainten": 100, "format": [100, 116, 1044, 1335, 1336, 1389, 1391, 1394, 1396, 1397, 1436], "templat": [100, 105], "header": 100, "preambl": 100, "footnot": 100, "govern": 101, "decis": 101, "make": [101, 798, 1040, 1042, 1043], "abstract": [101, 102, 103, 104, 105], "role": 101, "respons": 101, "commun": [101, 126, 1329], "steer": 101, "council": 101, "enhanc": 101, "propos": 101, "acknowledg": [101, 110], "api": [102, 106, 1404, 1405, 1406, 1410, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1434, 1435], "design": 102, "view": [102, 1041], "slice": 102, "motiv": [102, 103, 104, 105], "scope": [102, 103, 104, 105], "us": [102, 1041, 1413, 1436], "case": 102, "usag": [102, 103, 104, 105], "impact": [102, 103, 104, 105], "backward": [102, 103, 104, 105], "compat": [102, 103, 104, 105], "detail": [102, 103, 104, 105], "relat": [102, 103, 104, 105], "implement": [102, 103, 104, 105, 106, 1414], "altern": [102, 103, 104, 105], "discuss": [102, 103, 104, 105], "builder": 103, "4": [104, 1406, 1415, 1420, 1429, 1436], "adopt": 104, "numpi": [104, 1044, 1414], "default": [104, 1414], "interfac": [104, 762, 781], "x": [105, 1413, 1414], "instruct": 105, "mentor": 106, "project": [106, 116], "pedagog": 106, "interact": 106, "notebook": 106, "visual": [106, 108], "incorpor": 106, "ismag": [106, 145, 146, 147, 148, 149, 150, 151, 547, 763], "complet": 106, "releas": [107, 112, 1412, 1415], "roadmap": 108, "instal": [108, 112], "sustain": 108, "perform": 108, "document": [108, 1415], "linear": [108, 1333], "algebra": [108, 1333], "interoper": 108, "mission": 110, "valu": [110, 803, 808, 812, 816, 820, 824, 829, 834, 839, 844, 849], "our": 110, "softwar": 111, "complex": 111, "network": [111, 141, 1329, 1399], "cite": 111, "audienc": 111, "licens": 111, "bibliographi": 111, "extra": 112, "packag": [112, 1411], "distribut": 112, "approxim": 113, "heurist": 113, "connect": [113, 114, 127, 128, 425, 1333, 1411], "k": [113, 126, 128], "cliqu": [113, 122, 126], "cluster": [113, 116, 123, 262, 358, 1329], "distanc": [113, 135, 136], "measur": [113, 126, 135, 782], "domin": [113, 137, 138], "match": [113, 116, 532, 542, 764, 768], "ramsei": 113, "steiner": 113, "tsp": 113, "treewidth": 113, "vertex": 113, "cover": [113, 116, 130], "max": 113, "cut": [113, 128, 131], "assort": 114, "averag": 114, "neighbor": [114, 182, 798, 874, 917, 955, 999, 1040, 1042, 1043, 1076, 1436], "mix": 114, "pair": 114, "asteroid": 115, "bipartit": [116, 126], "edgelist": 116, "matrix": [116, 1333, 1395], "redund": 116, "boundari": 117, "bridg": [118, 294], "eigenvector": 119, "current": 119, "flow": [119, 128, 141, 1411], "shortest": [119, 141, 781, 1406], "communic": [119, 125, 373], "group": [119, 1316], "load": 119, "harmon": 119, "dispers": [119, 306], "reach": 119, "percol": 119, "second": 119, "order": [119, 188, 878, 921, 960, 1004, 1401], "trophic": 119, "voterank": [119, 339], "laplacian": [119, 1333], "chain": 120, "chordal": 121, "modular": [126, 387, 1333], "base": [126, 128, 1402, 1403], "partit": 126, "propag": 126, "louvain": 126, "detect": 126, "fluid": 126, "via": 126, "valid": 126, "strong": 127, "weak": 127, "attract": 127, "biconnect": 127, "semiconnected": 127, "augment": [128, 141], "see": [128, 764, 1044, 1045], "also": [128, 764, 1044, 1045], "cutset": 128, "disjoint": 128, "minimum": [128, 141], "stoer": 128, "wagner": 128, "util": [128, 141, 1302, 1308, 1401], "cycl": 132, "d": 133, "separ": 133, "block": 133, "illustr": 133, "its": 133, "applic": 133, "probabl": 133, "acycl": 134, "regular": [136, 779], "effici": [139, 487], "eulerian": 140, "edmond": [141, 209, 722], "karp": 141, "preflow": 141, "push": [141, 1052], "dinitz": [141, 500], "boykov": 141, "kolmogorov": 141, "gomori": 141, "hu": 141, "simplex": 141, "capac": 141, "scale": 141, "cost": 141, "edgecomponentauxgraph": [142, 143, 144, 425], "construct": [142, 1436], "k_edge_compon": [143, 427], "k_edge_subgraph": [144, 428], "analyze_symmetri": 145, "find_isomorph": 146, "is_isomorph": [147, 530, 540, 557], "isomorphisms_it": [148, 531, 541], "largest_common_subgraph": 149, "subgraph_is_isomorph": [150, 534, 544], "subgraph_isomorphisms_it": [151, 535, 545], "planarembed": [152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 617], "add_edg": [152, 855, 900, 936, 982, 1402, 1403], "add_edges_from": [153, 856, 901, 937, 983, 1402, 1403], "add_half_edge_ccw": 154, "add_half_edge_cw": 155, "add_half_edge_first": 156, "add_nod": [157, 857, 902, 938, 984, 1403], "add_nodes_from": [158, 858, 903, 939, 985, 1403], "add_weighted_edges_from": [159, 859, 904, 940, 986], "adj": [160, 860, 905, 941, 987], "adjac": [161, 861, 906, 942, 988, 1335, 1396, 1414], "check_structur": 162, "clear": [163, 862, 907, 943, 989], "clear_edg": [164, 863, 908, 944, 990], "connect_compon": 165, "copi": [166, 798, 799, 804, 825, 830, 835, 840, 845, 864, 909, 945, 991, 1040, 1042, 1043, 1402, 1403], "edge_subgraph": [168, 866, 911, 947, 993, 1064], "get_data": 170, "get_edge_data": [171, 868, 913, 949, 995, 1403], "has_edg": [172, 869, 914, 950, 996, 1402], "has_nod": [173, 870, 915, 951, 997], "has_predecessor": 174, "has_successor": 175, "in_degre": [176, 871, 952], "in_edg": [177, 872, 953, 1402], "is_direct": [178, 1070, 1402, 1403], "is_multigraph": [179, 517, 1403], "name": 180, "nbunch_it": [181, 873, 916, 954, 998], "neighbors_cw_ord": 183, "next_face_half_edg": 184, "number_of_edg": [186, 876, 919, 958, 1002, 1081], "number_of_nod": [187, 877, 920, 959, 1003, 1082], "out_degre": [189, 879, 961], "out_edg": [190, 880, 962, 1402], "pred": [191, 881, 963], "predecessor": [192, 642, 882, 964], "remove_edg": [193, 883, 922, 965, 1005], "remove_edges_from": [194, 884, 923, 966, 1006], "remove_nod": [195, 885, 924, 967, 1007], "remove_nodes_from": [196, 886, 925, 968, 1008], "set_data": 198, "size": [199, 888, 926, 970, 1009], "succ": [201, 890, 972], "successor": [202, 891, 973], "to_direct": [203, 892, 928, 974, 1011, 1092, 1403], "to_directed_class": 204, "to_undirect": [205, 893, 929, 975, 1012, 1093, 1403], "to_undirected_class": 206, "traverse_fac": 207, "updat": [208, 894, 930, 976, 1013, 1054], "find_optimum": 209, "clique_remov": 210, "large_clique_s": 211, "max_cliqu": 212, "maximum_independent_set": 213, "average_clust": [214, 261, 357], "all_pairs_node_connect": [215, 410], "local_node_connect": [216, 414], "node_connect": [217, 415], "diamet": [218, 474], "min_edge_dominating_set": 219, "min_weighted_dominating_set": 220, "k_compon": [221, 429], "min_maximal_match": 222, "one_exchang": 223, "randomized_partit": 224, "ramsey_r2": 225, "metric_closur": 226, "steiner_tre": 227, "asadpour_atsp": 228, "christofid": 229, "greedy_tsp": 230, "simulated_annealing_tsp": 231, "threshold_accepting_tsp": 232, "traveling_salesman_problem": 233, "treewidth_min_degre": 234, "treewidth_min_fill_in": 235, "min_weighted_vertex_cov": 236, "attribute_assortativity_coeffici": 237, "attribute_mixing_dict": 238, "attribute_mixing_matrix": 239, "average_degree_connect": 240, "average_neighbor_degre": 241, "degree_assortativity_coeffici": 242, "degree_mixing_dict": 243, "degree_mixing_matrix": 244, "degree_pearson_correlation_coeffici": 245, "mixing_dict": 246, "node_attribute_xi": 247, "node_degree_xi": 248, "numeric_assortativity_coeffici": 249, "find_asteroidal_tripl": 250, "is_at_fre": 251, "densiti": [254, 1063], "is_bipartit": 255, "is_bipartite_node_set": 256, "betweenness_centr": [258, 298], "closeness_centr": [259, 300], "degree_centr": [260, 305], "latapy_clust": 263, "robins_alexander_clust": 264, "min_edge_cov": [265, 442], "generate_edgelist": [266, 1341], "parse_edgelist": [267, 1342], "read_edgelist": [268, 1343], "write_edgelist": [269, 1345], "alternating_havel_hakimi_graph": 270, "complete_bipartite_graph": 271, "configuration_model": [272, 1181], "gnmk_random_graph": 273, "havel_hakimi_graph": [274, 1186], "preferential_attachment_graph": 275, "random_graph": 276, "reverse_havel_hakimi_graph": 277, "eppstein_match": 278, "hopcroft_karp_match": 279, "maximum_match": 280, "minimum_weight_full_match": 281, "to_vertex_cov": 282, "biadjacency_matrix": 283, "from_biadjacency_matrix": 284, "collaboration_weighted_projected_graph": 285, "generic_weighted_projected_graph": 286, "overlap_weighted_projected_graph": 287, "projected_graph": 288, "weighted_projected_graph": 289, "node_redund": 290, "spectral_bipart": 291, "edge_boundari": [292, 1402], "node_boundari": [293, 1402], "has_bridg": 295, "local_bridg": 296, "approximate_current_flow_betweenness_centr": 297, "betweenness_centrality_subset": 299, "communicability_betweenness_centr": 301, "current_flow_betweenness_centr": 302, "current_flow_betweenness_centrality_subset": 303, "current_flow_closeness_centr": 304, "edge_betweenness_centr": 307, "edge_betweenness_centrality_subset": 308, "edge_current_flow_betweenness_centr": 309, "edge_current_flow_betweenness_centrality_subset": 310, "edge_load_centr": 311, "eigenvector_centr": 312, "eigenvector_centrality_numpi": 313, "estrada_index": 314, "global_reaching_centr": 315, "group_betweenness_centr": 316, "group_closeness_centr": 317, "group_degree_centr": 318, "group_in_degree_centr": 319, "group_out_degree_centr": 320, "harmonic_centr": 321, "in_degree_centr": 322, "incremental_closeness_centr": 323, "information_centr": 324, "katz_centr": 325, "katz_centrality_numpi": 326, "laplacian_centr": 327, "load_centr": 328, "local_reaching_centr": 329, "out_degree_centr": 330, "percolation_centr": 331, "prominent_group": 332, "second_order_centr": 333, "subgraph_centr": 334, "subgraph_centrality_exp": 335, "trophic_differ": 336, "trophic_incoherence_paramet": 337, "trophic_level": 338, "chain_decomposit": 340, "chordal_graph_cliqu": 341, "chordal_graph_treewidth": 342, "complete_to_chordal_graph": 343, "find_induced_nod": 344, "is_chord": 345, "cliques_containing_nod": 346, "enumerate_all_cliqu": 347, "find_cliqu": 348, "find_cliques_recurs": 349, "graph_clique_numb": 350, "graph_number_of_cliqu": 351, "make_clique_bipartit": 352, "make_max_clique_graph": 353, "max_weight_cliqu": 354, "node_clique_numb": 355, "number_of_cliqu": 356, "generalized_degre": 359, "square_clust": 360, "transit": 361, "triangl": 362, "equitable_color": 363, "greedy_color": 364, "strategy_connected_sequenti": 365, "strategy_connected_sequential_bf": 366, "strategy_connected_sequential_df": 367, "strategy_independent_set": 368, "strategy_largest_first": 369, "strategy_random_sequenti": 370, "strategy_saturation_largest_first": 371, "strategy_smallest_last": 372, "communicability_exp": 374, "asyn_fluidc": 375, "girvan_newman": 376, "is_partit": 377, "k_clique_commun": 378, "kernighan_lin_bisect": 379, "asyn_lpa_commun": 380, "label_propagation_commun": 381, "louvain_commun": 382, "louvain_partit": 383, "lukes_partit": 384, "greedy_modularity_commun": 385, "naive_greedy_modularity_commun": 386, "partition_qu": 388, "articulation_point": 389, "attracting_compon": 390, "biconnected_component_edg": 391, "biconnected_compon": 392, "condens": 393, "connected_compon": 394, "is_attracting_compon": 395, "is_biconnect": 396, "is_connect": 397, "is_semiconnect": 398, "is_strongly_connect": [399, 701], "is_weakly_connect": 400, "kosaraju_strongly_connected_compon": 401, "node_connected_compon": 402, "number_attracting_compon": 403, "number_connected_compon": 404, "number_strongly_connected_compon": 405, "number_weakly_connected_compon": 406, "strongly_connected_compon": 407, "strongly_connected_components_recurs": 408, "weakly_connected_compon": 409, "average_node_connect": 411, "edge_connect": 412, "local_edge_connect": 413, "minimum_edge_cut": 416, "minimum_node_cut": 417, "minimum_st_edge_cut": 418, "minimum_st_node_cut": 419, "edge_disjoint_path": 420, "node_disjoint_path": 421, "is_k_edge_connect": 422, "is_locally_k_edge_connect": 423, "k_edge_augment": 424, "edge_kcompon": 425, "bridge_compon": 426, "all_node_cut": 430, "stoer_wagn": 431, "build_auxiliary_edge_connect": 432, "build_auxiliary_node_connect": 433, "core_numb": 434, "k_core": 435, "k_corona": 436, "k_crust": 437, "k_shell": 438, "k_truss": 439, "onion_lay": 440, "is_edge_cov": 441, "boundary_expans": 443, "cut_siz": 445, "edge_expans": 446, "mixing_expans": 447, "node_expans": 448, "normalized_cut_s": 449, "volum": 450, "cycle_basi": 451, "find_cycl": 452, "minimum_cycle_basi": 453, "recursive_simple_cycl": 454, "simple_cycl": 455, "d_separ": 456, "all_topological_sort": 457, "ancestor": [458, 767], "antichain": 459, "dag_longest_path": 460, "dag_longest_path_length": 461, "dag_to_branch": 462, "descend": 463, "is_aperiod": 464, "is_directed_acyclic_graph": 465, "lexicographical_topological_sort": 466, "topological_gener": 467, "topological_sort": 468, "transitive_closur": 469, "transitive_closure_dag": 470, "transitive_reduct": 471, "barycent": 472, "center": 473, "eccentr": 475, "peripheri": 476, "radiu": 477, "resistance_dist": 478, "global_paramet": 479, "intersection_arrai": 480, "is_distance_regular": 481, "is_strongly_regular": 482, "dominance_fronti": 483, "immediate_domin": 484, "dominating_set": 485, "is_dominating_set": 486, "global_effici": 488, "local_effici": 489, "eulerian_circuit": 490, "eulerian_path": 491, "euler": 492, "has_eulerian_path": 493, "is_eulerian": 494, "is_semieulerian": 495, "boykov_kolmogorov": 496, "build_residual_network": 497, "capacity_sc": 498, "cost_of_flow": 499, "edmonds_karp": 501, "gomory_hu_tre": 502, "max_flow_min_cost": 503, "maximum_flow": 504, "maximum_flow_valu": 505, "min_cost_flow": 506, "min_cost_flow_cost": 507, "minimum_cut": 508, "minimum_cut_valu": 509, "network_simplex": 510, "preflow_push": 511, "shortest_augmenting_path": 512, "weisfeiler_lehman_graph_hash": 513, "weisfeiler_lehman_subgraph_hash": 514, "is_digraph": 515, "is_graph": 516, "is_pseudograph": 518, "is_valid_degree_sequence_erdos_gallai": 519, "is_valid_degree_sequence_havel_hakimi": 520, "flow_hierarchi": 521, "is_kl_connect": 522, "kl_connected_subgraph": 523, "is_isol": 524, "isol": [525, 761], "number_of_isol": 526, "digraphmatch": [527, 528, 529, 530, 531, 532, 533, 534, 535, 536], "__init__": [527, 537, 852, 897, 933, 979], "candidate_pairs_it": [528, 538], "initi": [529, 539], "semantic_feas": [533, 543], "syntactic_feas": [536, 546], "graphmatch": [537, 538, 539, 540, 541, 542, 543, 544, 545, 546], "categorical_edge_match": 548, "categorical_multiedge_match": 549, "categorical_node_match": 550, "could_be_isomorph": 551, "fast_could_be_isomorph": 552, "faster_could_be_isomorph": 553, "generic_edge_match": 554, "generic_multiedge_match": 555, "generic_node_match": 556, "numerical_edge_match": 558, "numerical_multiedge_match": 559, "numerical_node_match": 560, "rooted_tree_isomorph": 561, "tree_isomorph": 562, "vf2pp_all_isomorph": 563, "vf2pp_is_isomorph": 564, "vf2pp_isomorph": 565, "hit": [566, 765], "google_matrix": 567, "pagerank": [568, 765], "adamic_adar_index": 569, "cn_soundarajan_hopcroft": 570, "common_neighbor_centr": 571, "jaccard_coeffici": 572, "preferential_attach": 573, "ra_index_soundarajan_hopcroft": 574, "resource_allocation_index": 575, "within_inter_clust": 576, "all_pairs_lowest_common_ancestor": 577, "lowest_common_ancestor": 578, "tree_all_pairs_lowest_common_ancestor": 579, "is_match": 580, "is_maximal_match": 581, "is_perfect_match": 582, "max_weight_match": 583, "maximal_match": 584, "min_weight_match": 585, "contracted_edg": 586, "contracted_nod": 587, "equivalence_class": 588, "identified_nod": 589, "quotient_graph": 590, "maximal_independent_set": 591, "moral_graph": 592, "harmonic_funct": 593, "local_and_global_consist": 594, "non_random": 595, "compose_al": 596, "disjoint_union_al": 597, "intersection_al": 598, "union_al": 599, "compos": 600, "differ": 601, "disjoint_union": 602, "full_join": 603, "intersect": [604, 1329], "symmetric_differ": 605, "union": [606, 1328], "cartesian_product": 607, "corona_product": 608, "lexicographic_product": 609, "power": 610, "rooted_product": 611, "strong_product": 612, "tensor_product": 613, "complement": 614, "combinatorial_embedding_to_po": 616, "planar": [617, 775, 776], "check_planar": 618, "is_planar": 619, "chromatic_polynomi": 620, "tutte_polynomi": 621, "overall_reciproc": 622, "reciproc": [623, 778], "is_k_regular": 624, "is_regular": 625, "k_factor": 626, "rich_club_coeffici": 627, "astar_path": [628, 1406], "astar_path_length": [629, 1406], "floyd_warshal": 630, "floyd_warshall_numpi": 631, "floyd_warshall_predecessor_and_dist": 632, "reconstruct_path": 633, "all_shortest_path": 634, "average_shortest_path_length": 635, "has_path": 636, "shortest_path": [637, 1406], "shortest_path_length": [638, 1406], "all_pairs_shortest_path": 639, "all_pairs_shortest_path_length": 640, "bidirectional_shortest_path": [641, 1406], "single_source_shortest_path": 643, "single_source_shortest_path_length": 644, "single_target_shortest_path": 645, "single_target_shortest_path_length": 646, "all_pairs_bellman_ford_path": 647, "all_pairs_bellman_ford_path_length": 648, "all_pairs_dijkstra": 649, "all_pairs_dijkstra_path": 650, "all_pairs_dijkstra_path_length": 651, "bellman_ford_path": 652, "bellman_ford_path_length": 653, "bellman_ford_predecessor_and_dist": 654, "bidirectional_dijkstra": [655, 1406], "dijkstra_path": [656, 1406], "dijkstra_path_length": [657, 1406], "dijkstra_predecessor_and_dist": 658, "find_negative_cycl": 659, "goldberg_radzik": 660, "johnson": 661, "multi_source_dijkstra": 662, "multi_source_dijkstra_path": 663, "multi_source_dijkstra_path_length": 664, "negative_edge_cycl": 665, "single_source_bellman_ford": 666, "single_source_bellman_ford_path": 667, "single_source_bellman_ford_path_length": 668, "single_source_dijkstra": 669, "single_source_dijkstra_path": 670, "single_source_dijkstra_path_length": 671, "generate_random_path": 672, "graph_edit_dist": 673, "optimal_edit_path": 674, "optimize_edit_path": 675, "optimize_graph_edit_dist": 676, "panther_similar": 677, "simrank_similar": 678, "all_simple_edge_path": 679, "all_simple_path": 680, "is_simple_path": 681, "shortest_simple_path": 682, "lattice_refer": 683, "omega": 684, "random_refer": 685, "sigma": 686, "s_metric": 687, "spanner": 688, "constraint": 689, "effective_s": 690, "local_constraint": 691, "dedensifi": 692, "snap_aggreg": 693, "connected_double_edge_swap": 694, "directed_edge_swap": 695, "double_edge_swap": 696, "find_threshold_graph": 697, "is_threshold_graph": 698, "hamiltonian_path": 699, "is_reach": 700, "is_tourna": 702, "random_tourna": 703, "score_sequ": 704, "bfs_beam_edg": 705, "bfs_edg": 706, "bfs_layer": 707, "bfs_predecessor": 708, "bfs_successor": 709, "bfs_tree": 710, "descendants_at_dist": 711, "dfs_edg": 712, "dfs_labeled_edg": 713, "dfs_postorder_nod": 714, "dfs_predecessor": 715, "dfs_preorder_nod": 716, "dfs_successor": 717, "dfs_tree": 718, "edge_bf": 719, "edge_df": 720, "branch": [721, 722, 793], "arborescenceiter": 721, "branching_weight": 723, "greedy_branch": 724, "maximum_branch": 725, "maximum_spanning_arboresc": 726, "minimum_branch": 727, "minimum_spanning_arboresc": 728, "notatre": 729, "from_nested_tupl": 730, "from_prufer_sequ": 731, "to_nested_tupl": 732, "to_prufer_sequ": 733, "junction_tre": 734, "mst": 735, "spanningtreeiter": 735, "maximum_spanning_edg": 736, "maximum_spanning_tre": 737, "minimum_spanning_edg": 738, "minimum_spanning_tre": 739, "random_spanning_tre": 740, "join": 741, "is_arboresc": 742, "is_branch": 743, "is_forest": 744, "is_tre": 745, "all_triad": 746, "all_triplet": 747, "is_triad": 748, "random_triad": 749, "triad_typ": 750, "triadic_censu": 751, "triads_by_typ": 752, "closeness_vit": 753, "voronoi_cel": 754, "wiener_index": 755, "hash": 756, "graphic": 757, "hierarchi": 758, "hybrid": 759, "vf2": [762, 764], "advanc": [762, 781], "note": [763, 764, 1045, 1415], "object": 763, "matcher": 764, "digraph": [764, 798, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 1403], "helper": [764, 1401], "link": [765, 766], "predict": 766, "lowest": 767, "common": [767, 1436], "minor": 769, "maxim": 770, "moral": 771, "classif": 772, "non": [773, 1329], "oper": [774, 793, 1436], "polynomi": 777, "rich": 780, "dens": 781, "similar": 782, "small": [784, 1329, 1436], "world": 784, "": 785, "metric": 785, "sparsifi": 786, "structur": [787, 1047, 1332, 1401, 1414], "hole": 787, "summar": 788, "swap": 789, "threshold": 790, "tournament": 791, "travers": 792, "depth": 792, "first": 792, "breadth": 792, "recognit": 793, "span": 793, "arboresc": 793, "encod": 793, "decod": 793, "except": [793, 1046], "vital": 795, "voronoi": 796, "cell": 796, "wiener": 797, "index": 797, "overview": [798, 1040, 1042, 1043], "method": [798, 1040, 1042, 1043, 1402, 1403], "remov": [798, 1040, 1042, 1043, 1053, 1402, 1403, 1404, 1436], "count": [798, 1040, 1042, 1043], "adjacencyview": [799, 800, 801, 802, 803, 1015], "item": [801, 806, 810, 814, 818, 822, 827, 832, 837, 842, 847], "atlasview": [804, 805, 806, 807, 808, 1016], "filteradjac": [809, 810, 811, 812, 1017], "filteratla": [813, 814, 815, 816, 1018], "filtermultiadjac": [817, 818, 819, 820, 1019], "filtermultiinn": [821, 822, 823, 824, 1020], "multiadjacencyview": [825, 826, 827, 828, 829, 1021], "unionadjac": [830, 831, 832, 833, 834, 1022], "unionatla": [835, 836, 837, 838, 839, 1023], "unionmultiadjac": [840, 841, 842, 843, 844, 1024], "unionmultiinn": [845, 846, 847, 848, 849, 1025], "__contains__": [850, 895, 931, 977], "__getitem__": [851, 896, 932, 978, 1402], "__iter__": [853, 898, 934, 980], "__len__": [854, 899, 935, 981], "multidigraph": [931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 1042, 1403], "new_edge_kei": [956, 1000], "multigraph": [977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011, 1012, 1013, 1043, 1403, 1436], "_dispatch": 1014, "class": [1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025, 1036, 1041, 1402, 1403, 1408], "coreview": [1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022, 1023, 1024, 1025], "hide_diedg": 1026, "hide_edg": 1027, "hide_multidiedg": 1028, "hide_multiedg": 1029, "hide_nod": 1030, "no_filt": 1031, "show_diedg": 1032, "show_edg": 1033, "show_multidiedg": 1034, "show_multiedg": 1035, "filter": [1036, 1041], "show_nod": 1036, "generic_graph_view": 1037, "reverse_view": [1038, 1086], "subgraph_view": [1039, 1091], "undirect": [1040, 1043], "which": 1041, "should": 1041, "backend": 1041, "dispatch": 1041, "convert": [1044, 1402, 1403], "other": [1044, 1402, 1408, 1409, 1411], "data": [1044, 1332, 1401], "To": 1044, "dictionari": [1044, 1415], "scipi": [1044, 1414], "panda": 1044, "agraph": 1045, "dot": 1045, "pydot": 1045, "latex": 1045, "tikz": 1045, "approach": 1045, "freez": [1047, 1066], "argmap": [1048, 1049, 1050, 1302], "assembl": 1048, "compil": 1049, "signatur": 1050, "mappedqueu": [1051, 1052, 1053, 1054, 1308], "pop": 1051, "add_cycl": [1055, 1403], "add_path": [1056, 1403], "add_star": [1057, 1403], "all_neighbor": 1058, "common_neighbor": 1059, "create_empty_copi": 1060, "degree_histogram": 1062, "get_edge_attribut": 1067, "get_node_attribut": 1068, "induced_subgraph": 1069, "is_empti": 1071, "is_frozen": 1072, "is_negatively_weight": 1073, "is_path": 1074, "is_weight": 1075, "nodes_with_selfloop": 1078, "non_edg": 1079, "non_neighbor": 1080, "number_of_selfloop": 1083, "path_weight": 1084, "restricted_view": 1085, "selfloop_edg": 1087, "set_edge_attribut": 1088, "set_node_attribut": 1089, "from_dict_of_dict": 1094, "from_dict_of_list": 1095, "from_edgelist": 1096, "to_dict_of_dict": 1097, "to_dict_of_list": 1098, "to_edgelist": 1099, "to_networkx_graph": 1100, "from_numpy_arrai": 1101, "from_pandas_adjac": 1102, "from_pandas_edgelist": 1103, "from_scipy_sparse_arrai": 1104, "to_numpy_arrai": 1105, "to_pandas_adjac": 1106, "to_pandas_edgelist": 1107, "to_scipy_sparse_arrai": 1108, "bipartite_layout": 1109, "circular_layout": 1110, "kamada_kawai_layout": 1111, "multipartite_layout": 1112, "planar_layout": 1113, "random_layout": 1114, "rescale_layout": 1115, "rescale_layout_dict": 1116, "shell_layout": 1117, "spectral_layout": 1118, "spiral_layout": 1119, "spring_layout": 1120, "from_agraph": 1121, "graphviz_layout": [1122, 1131], "pygraphviz_layout": 1123, "read_dot": [1124, 1133], "to_agraph": 1125, "write_dot": [1126, 1135], "to_latex": 1127, "to_latex_raw": 1128, "write_latex": 1129, "from_pydot": 1130, "pydot_layout": 1132, "to_pydot": 1134, "draw_circular": 1137, "draw_kamada_kawai": 1138, "draw_networkx": 1139, "draw_networkx_edge_label": 1140, "draw_networkx_edg": 1141, "draw_networkx_label": 1142, "draw_networkx_nod": 1143, "draw_planar": 1144, "draw_random": 1145, "draw_shel": 1146, "draw_spectr": 1147, "draw_spr": 1148, "graph_atla": 1149, "graph_atlas_g": 1150, "balanced_tre": 1151, "barbell_graph": 1152, "binomial_tre": 1153, "circulant_graph": 1154, "circular_ladder_graph": 1155, "complete_graph": 1156, "complete_multipartite_graph": 1157, "cycle_graph": 1158, "dorogovtsev_goltsev_mendes_graph": 1159, "empty_graph": 1160, "full_rary_tre": 1161, "ladder_graph": 1162, "lollipop_graph": 1163, "null_graph": 1164, "path_graph": 1165, "star_graph": 1166, "trivial_graph": 1167, "turan_graph": 1168, "wheel_graph": 1169, "random_cograph": 1170, "lfr_benchmark_graph": 1171, "caveman_graph": 1172, "connected_caveman_graph": 1173, "gaussian_random_partition_graph": 1174, "planted_partition_graph": 1175, "random_partition_graph": 1176, "relaxed_caveman_graph": 1177, "ring_of_cliqu": 1178, "stochastic_block_model": 1179, "windmill_graph": 1180, "degree_sequence_tre": 1182, "directed_configuration_model": 1183, "directed_havel_hakimi_graph": 1184, "expected_degree_graph": 1185, "random_degree_sequence_graph": 1187, "gn_graph": 1188, "gnc_graph": 1189, "gnr_graph": 1190, "random_k_out_graph": 1191, "scale_free_graph": 1192, "duplication_divergence_graph": 1193, "partial_duplication_graph": 1194, "ego_graph": 1195, "chordal_cycle_graph": 1196, "margulis_gabber_galil_graph": 1197, "paley_graph": 1198, "geographical_threshold_graph": 1199, "geometric_edg": 1200, "navigable_small_world_graph": 1201, "random_geometric_graph": 1202, "soft_random_geometric_graph": 1203, "thresholded_random_geometric_graph": 1204, "waxman_graph": 1205, "hkn_harary_graph": 1206, "hnm_harary_graph": 1207, "random_internet_as_graph": 1208, "general_random_intersection_graph": 1209, "k_random_intersection_graph": 1210, "uniform_random_intersection_graph": 1211, "interval_graph": 1212, "directed_joint_degree_graph": 1213, "is_valid_directed_joint_degre": 1214, "is_valid_joint_degre": 1215, "joint_degree_graph": 1216, "grid_2d_graph": 1217, "grid_graph": 1218, "hexagonal_lattice_graph": 1219, "hypercube_graph": 1220, "triangular_lattice_graph": 1221, "inverse_line_graph": 1222, "line_graph": 1223, "mycielski_graph": 1224, "mycielskian": 1225, "nonisomorphic_tre": 1226, "number_of_nonisomorphic_tre": 1227, "random_clustered_graph": 1228, "barabasi_albert_graph": 1229, "binomial_graph": 1230, "connected_watts_strogatz_graph": 1231, "dense_gnm_random_graph": 1232, "dual_barabasi_albert_graph": 1233, "erdos_renyi_graph": 1234, "extended_barabasi_albert_graph": 1235, "fast_gnp_random_graph": 1236, "gnm_random_graph": 1237, "gnp_random_graph": 1238, "newman_watts_strogatz_graph": 1239, "powerlaw_cluster_graph": 1240, "random_kernel_graph": 1241, "random_lobst": 1242, "random_powerlaw_tre": 1243, "random_powerlaw_tree_sequ": 1244, "random_regular_graph": 1245, "random_shell_graph": 1246, "watts_strogatz_graph": 1247, "lcf_graph": 1248, "bull_graph": 1249, "chvatal_graph": 1250, "cubical_graph": 1251, "desargues_graph": 1252, "diamond_graph": 1253, "dodecahedral_graph": 1254, "frucht_graph": 1255, "heawood_graph": 1256, "hoffman_singleton_graph": 1257, "house_graph": 1258, "house_x_graph": 1259, "icosahedral_graph": 1260, "krackhardt_kite_graph": 1261, "moebius_kantor_graph": 1262, "octahedral_graph": 1263, "pappus_graph": 1264, "petersen_graph": 1265, "sedgewick_maze_graph": 1266, "tetrahedral_graph": 1267, "truncated_cube_graph": 1268, "truncated_tetrahedron_graph": 1269, "tutte_graph": 1270, "davis_southern_women_graph": 1271, "florentine_families_graph": 1272, "karate_club_graph": 1273, "les_miserables_graph": 1274, "spectral_graph_forg": 1275, "stochastic_graph": 1276, "sudoku_graph": 1277, "prefix_tre": 1278, "random_tre": 1279, "triad_graph": 1280, "algebraic_connect": 1281, "fiedler_vector": 1282, "spectral_ord": 1283, "attr_matrix": 1284, "attr_sparse_matrix": 1285, "bethe_hessian_matrix": 1286, "adjacency_matrix": 1287, "incidence_matrix": 1288, "directed_combinatorial_laplacian_matrix": 1289, "directed_laplacian_matrix": 1290, "laplacian_matrix": 1291, "normalized_laplacian_matrix": 1292, "directed_modularity_matrix": 1293, "modularity_matrix": 1294, "adjacency_spectrum": 1295, "bethe_hessian_spectrum": 1296, "laplacian_spectrum": 1297, "modularity_spectrum": 1298, "normalized_laplacian_spectrum": 1299, "convert_node_labels_to_integ": 1300, "relabel_nod": 1301, "decor": [1302, 1401], "nodes_or_numb": 1303, "not_implemented_for": 1304, "np_random_st": 1305, "open_fil": 1306, "py_random_st": 1307, "mapped_queu": 1308, "arbitrary_el": 1309, "create_py_random_st": 1310, "create_random_st": 1311, "dict_to_numpy_arrai": 1312, "edges_equ": 1313, "flatten": 1314, "graphs_equ": 1315, "make_list_of_int": 1317, "nodes_equ": 1318, "pairwis": 1319, "cumulative_distribut": 1320, "discrete_sequ": 1321, "powerlaw_sequ": 1322, "random_weighted_sampl": 1323, "weighted_choic": 1324, "zipf_rv": 1325, "cuthill_mckee_ord": 1326, "reverse_cuthill_mckee_ord": 1327, "unionfind": 1328, "classic": [1329, 1436], "expand": 1329, "lattic": 1329, "duplic": 1329, "stochast": [1329, 1436], "AS": 1329, "social": 1329, "joint": 1329, "mycielski": 1329, "harari": 1329, "cograph": 1329, "interv": 1329, "sudoku": 1329, "glossari": 1330, "creation": 1332, "beth": 1333, "hessian": 1333, "matric": [1333, 1414], "spectrum": 1333, "generate_adjlist": 1337, "parse_adjlist": 1338, "read_adjlist": 1339, "write_adjlist": 1340, "read_weighted_edgelist": 1344, "write_weighted_edgelist": 1346, "generate_gexf": 1347, "read_gexf": 1348, "relabel_gexf_graph": 1349, "write_gexf": 1350, "generate_gml": 1351, "literal_destring": 1352, "literal_string": 1353, "parse_gml": 1354, "read_gml": 1355, "write_gml": 1356, "from_graph6_byt": 1357, "read_graph6": 1358, "to_graph6_byt": 1359, "write_graph6": 1360, "generate_graphml": 1361, "parse_graphml": 1362, "read_graphml": 1363, "write_graphml": 1364, "adjacency_data": 1365, "adjacency_graph": 1366, "cytoscape_data": 1367, "cytoscape_graph": 1368, "node_link_data": 1369, "node_link_graph": 1370, "tree_data": 1371, "tree_graph": 1372, "parse_leda": 1373, "read_leda": 1374, "generate_multiline_adjlist": 1375, "parse_multiline_adjlist": 1376, "read_multiline_adjlist": 1377, "write_multiline_adjlist": 1378, "generate_pajek": 1379, "parse_pajek": 1380, "read_pajek": 1381, "write_pajek": 1382, "from_sparse6_byt": 1383, "read_sparse6": 1384, "to_sparse6_byt": 1385, "write_sparse6": 1386, "generate_network_text": 1387, "write_network_text": 1388, "gexf": 1389, "gml": 1390, "graphml": 1391, "json": 1393, "leda": 1394, "market": 1395, "multilin": 1396, "pajek": 1397, "sparsegraph6": 1398, "graph6": 1398, "sparse6": 1398, "text": 1399, "relabel": 1400, "map": 1401, "queue": 1401, "99": [1402, 1415], "featur": [1402, 1403, 1406, 1407, 1415], "fix": [1402, 1407, 1410, 1415], "delete_nod": [1402, 1403], "delete_nodes_from": [1402, 1403], "delete_edg": [1402, 1403], "delete_edges_from": [1402, 1403], "get_edg": [1402, 1403], "degree_it": 1402, "info": 1402, "g": [1402, 1436], "adjacency_list": 1402, "adjacency_it": 1402, "possibl": 1402, "incompat": 1402, "exist": [1402, 1403], "import": [1402, 1415], "prepare_nbunch": 1402, "your": [1402, 1403], "old": [1402, 1415], "number": 1403, "nodes_it": 1403, "member": 1403, "add_weight": 1403, "edges_from": 1403, "labeledgraph": 1403, "labeleddigraph": 1403, "ubigraph": 1403, "addit": 1403, "10": [1404, 1415], "highlight": [1404, 1405, 1407, 1408, 1409, 1410, 1411, 1415, 1416, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "miscellan": [1404, 1405, 1411], "11": [1405, 1415], "5": [1407, 1415, 1421, 1430, 1436], "6": [1408, 1415, 1422, 1431], "7": [1409, 1415, 1423, 1424, 1432], "8": [1410, 1415, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433], "9": [1411, 1415], "migrat": [1413, 1414], "both": 1413, "pickl": 1413, "v1": 1413, "v2": 1413, "depend": 1414, "improv": [1414, 1417, 1418, 1419, 1420, 1421, 1422, 1423, 1425, 1426, 1431, 1432, 1434, 1435], "integr": 1414, "scientif": 1414, "replac": 1414, "arrai": 1414, "switch": 1414, "some": 1414, "dtype": 1414, "multi": 1414, "log": 1415, "return": 1415, "37": 1415, "36": 1415, "35": 1415, "34": 1415, "33": 1415, "32": 1415, "31": 1415, "30": 1415, "29": 1415, "28": 1415, "27": 1415, "26": 1415, "25": 1415, "24": 1415, "23": 1415, "22": 1415, "pr": [1416, 1417, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429, 1430, 1431, 1432, 1433, 1434, 1435], "gsoc": 1423, "unreleas": 1435, "tutori": 1436, "examin": 1436, "element": 1436, "constructor": 1436, "access": 1436, "appli": 1436, "call": 1436, "one": 1436, "e": 1436, "store": 1436, "file": 1436, "analyz": 1436, "nx": 1436}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 8, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1, "sphinx": 57}, "alltitles": {"3D Drawing": [[0, "d-drawing"], [87, "d-drawing"]], "Mayavi2": [[1, "mayavi2"]], "Basic matplotlib": [[2, "basic-matplotlib"]], "Computation times": [[3, "computation-times"], [18, "computation-times"], [23, "computation-times"], [48, "computation-times"], [52, "computation-times"], [60, "computation-times"], [73, "computation-times"], [79, "computation-times"], [86, "computation-times"], [91, "computation-times"]], "Algorithms": [[4, "algorithms"], [87, "algorithms"], [760, "algorithms"], [1332, "algorithms"]], "Beam Search": [[5, "beam-search"]], "Search for a node with high centrality.": [[5, "search-for-a-node-with-high-centrality"]], "Betweenness Centrality": [[6, "betweenness-centrality"]], "Blockmodel": [[7, "blockmodel"]], "Circuits": [[8, "circuits"]], "Create an example Boolean circuit.": [[8, "create-an-example-boolean-circuit"]], "Davis Club": [[9, "davis-club"]], "Dedensification": [[10, "dedensification"]], "Iterated Dynamical Systems": [[11, "iterated-dynamical-systems"]], "Sums of cubes on 3N": [[11, "sums-of-cubes-on-3n"]], "The general problem": [[11, "the-general-problem"]], "The 3n+1 problem": [[11, "the-3n-1-problem"]], "Krackhardt Centrality": [[12, "krackhardt-centrality"]], "Maximum Independent Set": [[13, "maximum-independent-set"]], "Parallel Betweenness": [[14, "parallel-betweenness"]], "Reverse Cuthill\u2013McKee": [[15, "reverse-cuthill-mckee"]], "SNAP Graph Summary": [[16, "snap-graph-summary"]], "Subgraphs": [[17, "subgraphs"]], "Create an example directed graph.": [[17, "create-an-example-directed-graph"]], "Plot the original graph.": [[17, "plot-the-original-graph"]], "Calculate the subgraphs with plotting all results of intemediate steps.": [[17, "calculate-the-subgraphs-with-plotting-all-results-of-intemediate-steps"]], "Plot the results: every subgraph in the list.": [[17, "plot-the-results-every-subgraph-in-the-list"]], "Put the graph back from the list of subgraphs": [[17, "put-the-graph-back-from-the-list-of-subgraphs"]], "Check that the original graph and the reconstructed graphs are isomorphic.": [[17, "check-that-the-original-graph-and-the-reconstructed-graphs-are-isomorphic"]], "Plot the reconstructed graph.": [[17, "plot-the-reconstructed-graph"]], "Basic": [[19, "basic"], [87, "basic"]], "Properties": [[20, "properties"]], "Read and write graphs.": [[21, "read-and-write-graphs"]], "Simple graph": [[22, "simple-graph"]], "Drawing": [[24, "drawing"], [87, "drawing"], [1045, "drawing"], [1332, "drawing"]], "Custom Node Position": [[25, "custom-node-position"]], "Chess Masters": [[26, "chess-masters"]], "Custom node icons": [[27, "custom-node-icons"]], "Degree Analysis": [[28, "degree-analysis"]], "Directed Graph": [[29, "directed-graph"]], "Edge Colormap": [[30, "edge-colormap"]], "Ego Graph": [[31, "ego-graph"], [1329, "module-networkx.generators.ego"]], "Eigenvalues": [[32, "eigenvalues"]], "Four Grids": [[33, "four-grids"]], "House With Colors": [[34, "house-with-colors"]], "Knuth Miles": [[35, "knuth-miles"]], "Labels And Colors": [[36, "labels-and-colors"]], "Multipartite Layout": [[37, "multipartite-layout"]], "Node Colormap": [[38, "node-colormap"]], "Rainbow Coloring": [[39, "rainbow-coloring"]], "References": [[39, "references"], [133, "references"], [762, "references"], [763, "references"], [764, "references"], [769, "references"], [772, "references"], [1045, "references"], [1329, "references"], [1329, "id2"], [1329, "id3"]], "Random Geometric Graph": [[40, "random-geometric-graph"]], "Sampson": [[41, "sampson"]], "Self-loops": [[42, "self-loops"], [1402, "self-loops"]], "Simple Path": [[43, "simple-path"]], "Spectral Embedding": [[44, "spectral-embedding"]], "Traveling Salesman Problem": [[45, "traveling-salesman-problem"]], "Unix Email": [[46, "unix-email"]], "Weighted Graph": [[47, "weighted-graph"]], "External libraries": [[49, "external-libraries"], [87, "external-libraries"]], "Javascript": [[50, "javascript"]], "igraph": [[51, "igraph"]], "NetworkX to igraph": [[51, "networkx-to-igraph"]], "igraph to NetworkX": [[51, "igraph-to-networkx"]], "Geospatial Examples Description": [[53, "geospatial-examples-description"]], "Geospatial Python Libraries": [[53, "geospatial-python-libraries"]], "Key Concepts": [[53, "key-concepts"]], "Learn More": [[53, "learn-more"]], "Geospatial": [[54, "geospatial"], [87, "geospatial"]], "Delaunay graphs from geographic points": [[55, "delaunay-graphs-from-geographic-points"]], "Graphs from a set of lines": [[56, "graphs-from-a-set-of-lines"]], "OpenStreetMap with OSMnx": [[57, "openstreetmap-with-osmnx"]], "Graphs from geographic points": [[58, "graphs-from-geographic-points"]], "Graphs from Polygons": [[59, "graphs-from-polygons"]], "Graph": [[61, "graph"], [87, "graph"], [1047, "graph"]], "DAG - Topological Layout": [[62, "dag-topological-layout"]], "Degree Sequence": [[63, "degree-sequence"], [1329, "module-networkx.generators.degree_seq"]], "Erdos Renyi": [[64, "erdos-renyi"]], "Expected Degree Sequence": [[65, "expected-degree-sequence"]], "Football": [[66, "football"]], "Karate Club": [[67, "karate-club"]], "Morse Trie": [[68, "morse-trie"]], "Napoleon Russian Campaign": [[69, "napoleon-russian-campaign"]], "Roget": [[70, "roget"]], "Triads": [[71, "triads"], [794, "module-networkx.algorithms.triads"], [1329, "module-networkx.generators.triads"]], "Words/Ladder Graph": [[72, "words-ladder-graph"]], "Graphviz Drawing": [[74, "graphviz-drawing"], [87, "graphviz-drawing"]], "Attributes": [[75, "attributes"], [1047, "attributes"]], "Conversion": [[76, "conversion"]], "2D Grid": [[77, "d-grid"]], "Atlas": [[78, "atlas"], [81, "atlas"], [1329, "module-networkx.generators.atlas"]], "Graphviz Layout": [[80, "graphviz-layout"], [87, "graphviz-layout"]], "Circular Tree": [[82, "circular-tree"]], "Decomposition": [[83, "decomposition"], [793, "module-networkx.algorithms.tree.decomposition"]], "Giant Component": [[84, "giant-component"]], "Lanl Routes": [[85, "lanl-routes"]], "Gallery": [[87, "gallery"]], "Subclass": [[87, "subclass"], [88, "subclass"]], "Antigraph": [[89, "antigraph"]], "Print Graph": [[90, "print-graph"]], "About Us": [[92, "about-us"]], "Core Developers": [[92, "core-developers"], [101, "core-developers"], [109, "core-developers"]], "Emeritus Developers": [[92, "emeritus-developers"], [109, "emeritus-developers"]], "Contributors": [[92, "contributors"], [101, "contributors"], [1416, "contributors"], [1417, "contributors"], [1418, "contributors"], [1419, "contributors"], [1420, "contributors"], [1421, "contributors"], [1422, "contributors"], [1423, "contributors"], [1424, "contributors"], [1425, "contributors"], [1426, "contributors"], [1427, "contributors"], [1428, "contributors"], [1429, "contributors"], [1430, "contributors"], [1431, "contributors"], [1432, "contributors"], [1433, "contributors"], [1434, "contributors"], [1435, "contributors"]], "Support": [[92, "support"]], "Code of Conduct": [[93, "code-of-conduct"]], "Introduction": [[93, "introduction"], [762, "introduction"], [764, "introduction"], [1332, "introduction"]], "Specific Guidelines": [[93, "specific-guidelines"]], "Diversity Statement": [[93, "diversity-statement"]], "Reporting Guidelines": [[93, "reporting-guidelines"]], "Incident reporting resolution & Code of Conduct enforcement": [[93, "incident-reporting-resolution-code-of-conduct-enforcement"]], "Endnotes": [[93, "endnotes"]], "Contributor Guide": [[94, "contributor-guide"]], "Development Workflow": [[94, "development-workflow"]], "Divergence from upstream main": [[94, "divergence-from-upstream-main"]], "Guidelines": [[94, "guidelines"]], "Testing": [[94, "testing"], [112, "testing"], [1041, "testing"]], "Adding tests": [[94, "adding-tests"]], "Adding examples": [[94, "adding-examples"]], "Adding References": [[94, "adding-references"]], "Image comparison": [[94, "image-comparison"]], "Bugs": [[94, "bugs"]], "Policies": [[94, "policies"]], "Core Developer Guide": [[95, "core-developer-guide"]], "Reviewing": [[95, "reviewing"]], "How to Conduct A Good Review": [[95, "how-to-conduct-a-good-review"]], "Merge Only Changes You Understand": [[95, "merge-only-changes-you-understand"]], "Closing issues and pull requests": [[95, "closing-issues-and-pull-requests"]], "Further resources": [[95, "further-resources"]], "Deprecations": [[96, "deprecations"], [1416, "deprecations"], [1417, "deprecations"], [1418, "deprecations"], [1419, "deprecations"], [1420, "deprecations"], [1421, "deprecations"], [1422, "deprecations"], [1423, "deprecations"], [1425, "deprecations"], [1434, "deprecations"], [1435, "deprecations"]], "Policy": [[96, "policy"]], "Todo": [[96, "todo"]], "Version 3.0": [[96, "version-3-0"]], "Version 3.2": [[96, "version-3-2"]], "Version 3.3": [[96, "version-3-3"]], "Developer": [[97, "developer"]], "New Contributor FAQ": [[98, "new-contributor-faq"]], "Q: I\u2019m new to open source and would like to contribute to NetworkX. How do I get started?": [[98, "q-i-m-new-to-open-source-and-would-like-to-contribute-to-networkx-how-do-i-get-started"]], "Q: I\u2019ve found an issue I\u2019m interested in, can I have it assigned to me?": [[98, "q-i-ve-found-an-issue-i-m-interested-in-can-i-have-it-assigned-to-me"]], "Q: How do I contribute an example to the Gallery?": [[98, "q-how-do-i-contribute-an-example-to-the-gallery"]], "Q: I want to work on a specific function. How do I find it in the source code?": [[98, "q-i-want-to-work-on-a-specific-function-how-do-i-find-it-in-the-source-code"]], "Q: What is the policy for deciding whether to include a new algorithm?": [[98, "q-what-is-the-policy-for-deciding-whether-to-include-a-new-algorithm"]], "NXEPs": [[99, "nxeps"], [1422, "nxeps"]], "NXEP 0 \u2014 Purpose and Process": [[100, "nxep-0-purpose-and-process"]], "What is a NXEP?": [[100, "what-is-a-nxep"]], "Types": [[100, "types"]], "NXEP Workflow": [[100, "nxep-workflow"]], "Review and Resolution": [[100, "review-and-resolution"]], "How a NXEP becomes Accepted": [[100, "how-a-nxep-becomes-accepted"]], "Maintenance": [[100, "maintenance"]], "Format and Template": [[100, "format-and-template"]], "Header Preamble": [[100, "header-preamble"]], "References and Footnotes": [[100, "references-and-footnotes"]], "NXEP 1 \u2014 Governance and Decision Making": [[101, "nxep-1-governance-and-decision-making"]], "Abstract": [[101, "abstract"], [102, "abstract"], [103, "abstract"], [104, "abstract"], [105, "abstract"]], "Roles And Responsibilities": [[101, "roles-and-responsibilities"]], "The Community": [[101, "the-community"]], "Steering Council": [[101, "steering-council"]], "Decision Making Process": [[101, "decision-making-process"]], "Enhancement Proposals (NXEPs)": [[101, "enhancement-proposals-nxeps"]], "Acknowledgments": [[101, "acknowledgments"], [110, "acknowledgments"]], "NXEP 2 \u2014 API design of view slices": [[102, "nxep-2-api-design-of-view-slices"]], "Motivation and Scope": [[102, "motivation-and-scope"], [103, "motivation-and-scope"], [104, "motivation-and-scope"], [105, "motivation-and-scope"]], "Motivating Use-Case": [[102, "motivating-use-case"]], "Usage and Impact": [[102, "usage-and-impact"], [103, "usage-and-impact"], [104, "usage-and-impact"], [105, "usage-and-impact"]], "Backward compatibility": [[102, "backward-compatibility"], [103, "backward-compatibility"], [104, "backward-compatibility"], [105, "backward-compatibility"]], "Detailed description": [[102, "detailed-description"], [103, "detailed-description"], [104, "detailed-description"], [105, "detailed-description"]], "Related Work": [[102, "related-work"], [103, "related-work"], [104, "related-work"], [105, "related-work"]], "Implementation": [[102, "implementation"], [103, "implementation"], [104, "implementation"], [105, "implementation"]], "Alternatives": [[102, "alternatives"], [103, "alternatives"], [104, "alternatives"], [105, "alternatives"]], "Discussion": [[102, "discussion"], [103, "discussion"], [104, "discussion"], [105, "discussion"]], "Resolution": [[102, "resolution"]], "NXEP 3 \u2014 Graph Builders": [[103, "nxep-3-graph-builders"]], "NXEP 4 \u2014 Adopting numpy.random.Generator as default random interface": [[104, "nxep-4-adopting-numpy-random-generator-as-default-random-interface"]], "NXEP X \u2014 Template and Instructions": [[105, "nxep-x-template-and-instructions"]], "Mentored Projects": [[106, "mentored-projects"]], "Pedagogical Interactive Notebooks for Algorithms Implemented in NetworkX": [[106, "pedagogical-interactive-notebooks-for-algorithms-implemented-in-networkx"]], "Visualization API with Matplotlib": [[106, "visualization-api-with-matplotlib"]], "Incorporate a Python library for ISMAGs isomorphism calculations": [[106, "incorporate-a-python-library-for-ismags-isomorphism-calculations"]], "Completed Projects": [[106, "completed-projects"]], "Release Process": [[107, "release-process"]], "Roadmap": [[108, "roadmap"]], "Installation": [[108, "installation"]], "Sustainability": [[108, "sustainability"]], "Performance": [[108, "performance"]], "Documentation": [[108, "documentation"], [1415, "documentation"], [1415, "id71"], [1415, "id75"]], "Linear Algebra": [[108, "linear-algebra"]], "Interoperability": [[108, "interoperability"]], "Visualization": [[108, "visualization"]], "Mission and Values": [[110, "mission-and-values"]], "Our mission": [[110, "our-mission"]], "Our values": [[110, "our-values"]], "Software for Complex Networks": [[111, "software-for-complex-networks"]], "Citing": [[111, "citing"]], "Audience": [[111, "audience"]], "Python": [[111, "python"]], "License": [[111, "license"]], "Bibliography": [[111, "bibliography"]], "Install": [[112, "install"]], "Install the released version": [[112, "install-the-released-version"]], "Install the development version": [[112, "install-the-development-version"]], "Extra packages": [[112, "extra-packages"]], "Test a source distribution": [[112, "test-a-source-distribution"]], "Test an installed package": [[112, "test-an-installed-package"]], "Approximations and Heuristics": [[113, "module-networkx.algorithms.approximation"]], "Connectivity": [[113, "module-networkx.algorithms.approximation.connectivity"], [127, "connectivity"], [128, "module-networkx.algorithms.connectivity"]], "K-components": [[113, "module-networkx.algorithms.approximation.kcomponents"]], "Clique": [[113, "module-networkx.algorithms.approximation.clique"], [122, "module-networkx.algorithms.clique"]], "Clustering": [[113, "module-networkx.algorithms.approximation.clustering_coefficient"], [116, "module-networkx.algorithms.bipartite.cluster"], [123, "module-networkx.algorithms.cluster"]], "Distance Measures": [[113, "module-networkx.algorithms.approximation.distance_measures"], [135, "module-networkx.algorithms.distance_measures"]], "Dominating Set": [[113, "module-networkx.algorithms.approximation.dominating_set"]], "Matching": [[113, "module-networkx.algorithms.approximation.matching"], [116, "module-networkx.algorithms.bipartite.matching"], [768, "module-networkx.algorithms.matching"]], "Ramsey": [[113, "module-networkx.algorithms.approximation.ramsey"]], "Steiner Tree": [[113, "module-networkx.algorithms.approximation.steinertree"]], "Traveling Salesman": [[113, "module-networkx.algorithms.approximation.traveling_salesman"]], "Travelling Salesman Problem (TSP)": [[113, "travelling-salesman-problem-tsp"]], "Treewidth": [[113, "module-networkx.algorithms.approximation.treewidth"]], "Vertex Cover": [[113, "module-networkx.algorithms.approximation.vertex_cover"]], "Max Cut": [[113, "module-networkx.algorithms.approximation.maxcut"]], "Assortativity": [[114, "module-networkx.algorithms.assortativity"], [114, "id1"]], "Average neighbor degree": [[114, "average-neighbor-degree"]], "Average degree connectivity": [[114, "average-degree-connectivity"]], "Mixing": [[114, "mixing"]], "Pairs": [[114, "pairs"]], "Asteroidal": [[115, "module-networkx.algorithms.asteroidal"]], "Bipartite": [[116, "module-networkx.algorithms.bipartite"]], "Basic functions": [[116, "module-networkx.algorithms.bipartite.basic"]], "Edgelist": [[116, "module-networkx.algorithms.bipartite.edgelist"]], "Format": [[116, "format"], [1335, "format"], [1336, "format"], [1389, "format"], [1391, "format"], [1394, "format"], [1396, "format"], [1397, "format"]], "Matrix": [[116, "module-networkx.algorithms.bipartite.matrix"]], "Projections": [[116, "module-networkx.algorithms.bipartite.projection"]], "Spectral": [[116, "module-networkx.algorithms.bipartite.spectral"], [1329, "module-networkx.generators.spectral_graph_forge"]], "Redundancy": [[116, "module-networkx.algorithms.bipartite.redundancy"]], "Centrality": [[116, "module-networkx.algorithms.bipartite.centrality"], [119, "module-networkx.algorithms.centrality"]], "Generators": [[116, "module-networkx.algorithms.bipartite.generators"]], "Covering": [[116, "module-networkx.algorithms.bipartite.covering"], [130, "module-networkx.algorithms.covering"]], "Boundary": [[117, "module-networkx.algorithms.boundary"]], "Bridges": [[118, "module-networkx.algorithms.bridges"]], "Degree": [[119, "degree"]], "Eigenvector": [[119, "eigenvector"]], "Closeness": [[119, "closeness"]], "Current Flow Closeness": [[119, "current-flow-closeness"]], "(Shortest Path) Betweenness": [[119, "shortest-path-betweenness"]], "Current Flow Betweenness": [[119, "current-flow-betweenness"]], "Communicability Betweenness": [[119, "communicability-betweenness"]], "Group Centrality": [[119, "group-centrality"]], "Load": [[119, "load"]], "Subgraph": [[119, "subgraph"]], "Harmonic Centrality": [[119, "harmonic-centrality"]], "Dispersion": [[119, "dispersion"]], "Reaching": [[119, "reaching"]], "Percolation": [[119, "percolation"]], "Second Order Centrality": [[119, "second-order-centrality"]], "Trophic": [[119, "trophic"]], "VoteRank": [[119, "voterank"]], "Laplacian": [[119, "laplacian"]], "Chains": [[120, "module-networkx.algorithms.chains"]], "Chordal": [[121, "chordal"]], "Coloring": [[124, "module-networkx.algorithms.coloring"]], "Communicability": [[125, "module-networkx.algorithms.communicability_alg"]], "Communities": [[126, "module-networkx.algorithms.community"]], "Bipartitions": [[126, "module-networkx.algorithms.community.kernighan_lin"]], "K-Clique": [[126, "module-networkx.algorithms.community.kclique"]], "Modularity-based communities": [[126, "module-networkx.algorithms.community.modularity_max"]], "Tree partitioning": [[126, "module-networkx.algorithms.community.lukes"]], "Label propagation": [[126, "module-networkx.algorithms.community.label_propagation"]], "Louvain Community Detection": [[126, "module-networkx.algorithms.community.louvain"]], "Fluid Communities": [[126, "module-networkx.algorithms.community.asyn_fluid"]], "Measuring partitions": [[126, "module-networkx.algorithms.community.quality"]], "Partitions via centrality measures": [[126, "module-networkx.algorithms.community.centrality"]], "Validating partitions": [[126, "module-networkx.algorithms.community.community_utils"]], "Components": [[127, "module-networkx.algorithms.components"]], "Strong connectivity": [[127, "strong-connectivity"]], "Weak connectivity": [[127, "weak-connectivity"]], "Attracting components": [[127, "attracting-components"]], "Biconnected components": [[127, "biconnected-components"]], "Semiconnectedness": [[127, "semiconnectedness"]], "Edge-augmentation": [[128, "module-networkx.algorithms.connectivity.edge_augmentation"]], "See Also": [[128, "see-also"], [764, "see-also"], [1044, "see-also"], [1044, "id2"], [1045, "see-also"], [1045, "id3"], [1045, "id5"]], "K-edge-components": [[128, "module-networkx.algorithms.connectivity.edge_kcomponents"]], "K-node-components": [[128, "module-networkx.algorithms.connectivity.kcomponents"]], "K-node-cutsets": [[128, "module-networkx.algorithms.connectivity.kcutsets"]], "Flow-based disjoint paths": [[128, "module-networkx.algorithms.connectivity.disjoint_paths"]], "Flow-based Connectivity": [[128, "module-networkx.algorithms.connectivity.connectivity"]], "Flow-based Minimum Cuts": [[128, "module-networkx.algorithms.connectivity.cuts"]], "Stoer-Wagner minimum cut": [[128, "module-networkx.algorithms.connectivity.stoerwagner"]], "Utils for flow-based connectivity": [[128, "module-networkx.algorithms.connectivity.utils"]], "Cores": [[129, "module-networkx.algorithms.core"]], "Cuts": [[131, "module-networkx.algorithms.cuts"]], "Cycles": [[132, "module-networkx.algorithms.cycles"]], "D-Separation": [[133, "module-networkx.algorithms.d_separation"]], "Blocking paths": [[133, "blocking-paths"]], "Illustration of D-separation with examples": [[133, "illustration-of-d-separation-with-examples"]], "D-separation and its applications in probability": [[133, "d-separation-and-its-applications-in-probability"]], "Examples": [[133, "examples"], [762, "examples"], [764, "examples"], [1044, "examples"], [1044, "id1"], [1045, "examples"], [1045, "id2"], [1045, "id4"], [1045, "id6"], [1395, "examples"], [1402, "examples"], [1403, "examples"], [1411, "examples"], [1415, "examples"], [1415, "id29"], [1415, "id32"], [1415, "id35"], [1415, "id44"], [1415, "id47"], [1415, "id50"], [1415, "id53"], [1415, "id57"], [1415, "id60"], [1415, "id63"], [1415, "id66"], [1415, "id70"], [1415, "id74"]], "Directed Acyclic Graphs": [[134, "module-networkx.algorithms.dag"]], "Distance-Regular Graphs": [[136, "module-networkx.algorithms.distance_regular"]], "Dominance": [[137, "module-networkx.algorithms.dominance"]], "Dominating Sets": [[138, "module-networkx.algorithms.dominating"]], "Efficiency": [[139, "module-networkx.algorithms.efficiency_measures"]], "Eulerian": [[140, "module-networkx.algorithms.euler"]], "Flows": [[141, "module-networkx.algorithms.flow"]], "Maximum Flow": [[141, "maximum-flow"]], "Edmonds-Karp": [[141, "edmonds-karp"]], "Shortest Augmenting Path": [[141, "shortest-augmenting-path"]], "Preflow-Push": [[141, "preflow-push"]], "Dinitz": [[141, "dinitz"]], "Boykov-Kolmogorov": [[141, "boykov-kolmogorov"]], "Gomory-Hu Tree": [[141, "gomory-hu-tree"]], "Utils": [[141, "utils"]], "Network Simplex": [[141, "network-simplex"]], "Capacity Scaling Minimum Cost Flow": [[141, "capacity-scaling-minimum-cost-flow"]], "EdgeComponentAuxGraph.construct": [[142, "edgecomponentauxgraph-construct"]], "EdgeComponentAuxGraph.k_edge_components": [[143, "edgecomponentauxgraph-k-edge-components"]], "EdgeComponentAuxGraph.k_edge_subgraphs": [[144, "edgecomponentauxgraph-k-edge-subgraphs"]], "ISMAGS.analyze_symmetry": [[145, "ismags-analyze-symmetry"]], "ISMAGS.find_isomorphisms": [[146, "ismags-find-isomorphisms"]], "ISMAGS.is_isomorphic": [[147, "ismags-is-isomorphic"]], "ISMAGS.isomorphisms_iter": [[148, "ismags-isomorphisms-iter"]], "ISMAGS.largest_common_subgraph": [[149, "ismags-largest-common-subgraph"]], "ISMAGS.subgraph_is_isomorphic": [[150, "ismags-subgraph-is-isomorphic"]], "ISMAGS.subgraph_isomorphisms_iter": [[151, "ismags-subgraph-isomorphisms-iter"]], "PlanarEmbedding.add_edge": [[152, "planarembedding-add-edge"]], "PlanarEmbedding.add_edges_from": [[153, "planarembedding-add-edges-from"]], "PlanarEmbedding.add_half_edge_ccw": [[154, "planarembedding-add-half-edge-ccw"]], "PlanarEmbedding.add_half_edge_cw": [[155, "planarembedding-add-half-edge-cw"]], "PlanarEmbedding.add_half_edge_first": [[156, "planarembedding-add-half-edge-first"]], "PlanarEmbedding.add_node": [[157, "planarembedding-add-node"]], "PlanarEmbedding.add_nodes_from": [[158, "planarembedding-add-nodes-from"]], "PlanarEmbedding.add_weighted_edges_from": [[159, "planarembedding-add-weighted-edges-from"]], "PlanarEmbedding.adj": [[160, "planarembedding-adj"]], "PlanarEmbedding.adjacency": [[161, "planarembedding-adjacency"]], "PlanarEmbedding.check_structure": [[162, "planarembedding-check-structure"]], "PlanarEmbedding.clear": [[163, "planarembedding-clear"]], "PlanarEmbedding.clear_edges": [[164, "planarembedding-clear-edges"]], "PlanarEmbedding.connect_components": [[165, "planarembedding-connect-components"]], "PlanarEmbedding.copy": [[166, "planarembedding-copy"]], "PlanarEmbedding.degree": [[167, "planarembedding-degree"]], "PlanarEmbedding.edge_subgraph": [[168, "planarembedding-edge-subgraph"]], "PlanarEmbedding.edges": [[169, "planarembedding-edges"]], "PlanarEmbedding.get_data": [[170, "planarembedding-get-data"]], "PlanarEmbedding.get_edge_data": [[171, "planarembedding-get-edge-data"]], "PlanarEmbedding.has_edge": [[172, "planarembedding-has-edge"]], "PlanarEmbedding.has_node": [[173, "planarembedding-has-node"]], "PlanarEmbedding.has_predecessor": [[174, "planarembedding-has-predecessor"]], "PlanarEmbedding.has_successor": [[175, "planarembedding-has-successor"]], "PlanarEmbedding.in_degree": [[176, "planarembedding-in-degree"]], "PlanarEmbedding.in_edges": [[177, "planarembedding-in-edges"]], "PlanarEmbedding.is_directed": [[178, "planarembedding-is-directed"]], "PlanarEmbedding.is_multigraph": [[179, "planarembedding-is-multigraph"]], "PlanarEmbedding.name": [[180, "planarembedding-name"]], "PlanarEmbedding.nbunch_iter": [[181, "planarembedding-nbunch-iter"]], "PlanarEmbedding.neighbors": [[182, "planarembedding-neighbors"]], "PlanarEmbedding.neighbors_cw_order": [[183, "planarembedding-neighbors-cw-order"]], "PlanarEmbedding.next_face_half_edge": [[184, "planarembedding-next-face-half-edge"]], "PlanarEmbedding.nodes": [[185, "planarembedding-nodes"]], "PlanarEmbedding.number_of_edges": [[186, "planarembedding-number-of-edges"]], "PlanarEmbedding.number_of_nodes": [[187, "planarembedding-number-of-nodes"]], "PlanarEmbedding.order": [[188, "planarembedding-order"]], "PlanarEmbedding.out_degree": [[189, "planarembedding-out-degree"]], "PlanarEmbedding.out_edges": [[190, "planarembedding-out-edges"]], "PlanarEmbedding.pred": [[191, "planarembedding-pred"]], "PlanarEmbedding.predecessors": [[192, "planarembedding-predecessors"]], "PlanarEmbedding.remove_edge": [[193, "planarembedding-remove-edge"]], "PlanarEmbedding.remove_edges_from": [[194, "planarembedding-remove-edges-from"]], "PlanarEmbedding.remove_node": [[195, "planarembedding-remove-node"]], "PlanarEmbedding.remove_nodes_from": [[196, "planarembedding-remove-nodes-from"]], "PlanarEmbedding.reverse": [[197, "planarembedding-reverse"]], "PlanarEmbedding.set_data": [[198, "planarembedding-set-data"]], "PlanarEmbedding.size": [[199, "planarembedding-size"]], "PlanarEmbedding.subgraph": [[200, "planarembedding-subgraph"]], "PlanarEmbedding.succ": [[201, "planarembedding-succ"]], "PlanarEmbedding.successors": [[202, "planarembedding-successors"]], "PlanarEmbedding.to_directed": [[203, "planarembedding-to-directed"]], "PlanarEmbedding.to_directed_class": [[204, "planarembedding-to-directed-class"]], "PlanarEmbedding.to_undirected": [[205, "planarembedding-to-undirected"]], "PlanarEmbedding.to_undirected_class": [[206, "planarembedding-to-undirected-class"]], "PlanarEmbedding.traverse_face": [[207, "planarembedding-traverse-face"]], "PlanarEmbedding.update": [[208, "planarembedding-update"]], "Edmonds.find_optimum": [[209, "edmonds-find-optimum"]], "clique_removal": [[210, "clique-removal"]], "large_clique_size": [[211, "large-clique-size"]], "max_clique": [[212, "max-clique"]], "maximum_independent_set": [[213, "maximum-independent-set"]], "average_clustering": [[214, "average-clustering"], [261, "average-clustering"], [357, "average-clustering"]], "all_pairs_node_connectivity": [[215, "all-pairs-node-connectivity"], [410, "all-pairs-node-connectivity"]], "local_node_connectivity": [[216, "local-node-connectivity"], [414, "local-node-connectivity"]], "node_connectivity": [[217, "node-connectivity"], [415, "node-connectivity"]], "diameter": [[218, "diameter"], [474, "diameter"]], "min_edge_dominating_set": [[219, "min-edge-dominating-set"]], "min_weighted_dominating_set": [[220, "min-weighted-dominating-set"]], "k_components": [[221, "k-components"], [429, "k-components"]], "min_maximal_matching": [[222, "min-maximal-matching"]], "one_exchange": [[223, "one-exchange"]], "randomized_partitioning": [[224, "randomized-partitioning"]], "ramsey_R2": [[225, "ramsey-r2"]], "metric_closure": [[226, "metric-closure"]], "steiner_tree": [[227, "steiner-tree"]], "asadpour_atsp": [[228, "asadpour-atsp"]], "christofides": [[229, "christofides"]], "greedy_tsp": [[230, "greedy-tsp"]], "simulated_annealing_tsp": [[231, "simulated-annealing-tsp"]], "threshold_accepting_tsp": [[232, "threshold-accepting-tsp"]], "traveling_salesman_problem": [[233, "traveling-salesman-problem"]], "treewidth_min_degree": [[234, "treewidth-min-degree"]], "treewidth_min_fill_in": [[235, "treewidth-min-fill-in"]], "min_weighted_vertex_cover": [[236, "min-weighted-vertex-cover"]], "attribute_assortativity_coefficient": [[237, "attribute-assortativity-coefficient"]], "attribute_mixing_dict": [[238, "attribute-mixing-dict"]], "attribute_mixing_matrix": [[239, "attribute-mixing-matrix"]], "average_degree_connectivity": [[240, "average-degree-connectivity"]], "average_neighbor_degree": [[241, "average-neighbor-degree"]], "degree_assortativity_coefficient": [[242, "degree-assortativity-coefficient"]], "degree_mixing_dict": [[243, "degree-mixing-dict"]], "degree_mixing_matrix": [[244, "degree-mixing-matrix"]], "degree_pearson_correlation_coefficient": [[245, "degree-pearson-correlation-coefficient"]], "mixing_dict": [[246, "mixing-dict"]], "node_attribute_xy": [[247, "node-attribute-xy"]], "node_degree_xy": [[248, "node-degree-xy"]], "numeric_assortativity_coefficient": [[249, "numeric-assortativity-coefficient"]], "find_asteroidal_triple": [[250, "find-asteroidal-triple"]], "is_at_free": [[251, "is-at-free"]], "color": [[252, "color"]], "degrees": [[253, "degrees"]], "density": [[254, "density"], [1063, "density"]], "is_bipartite": [[255, "is-bipartite"]], "is_bipartite_node_set": [[256, "is-bipartite-node-set"]], "sets": [[257, "sets"]], "betweenness_centrality": [[258, "betweenness-centrality"], [298, "betweenness-centrality"]], "closeness_centrality": [[259, "closeness-centrality"], [300, "closeness-centrality"]], "degree_centrality": [[260, "degree-centrality"], [305, "degree-centrality"]], "clustering": [[262, "clustering"], [358, "clustering"]], "latapy_clustering": [[263, "latapy-clustering"]], "robins_alexander_clustering": [[264, "robins-alexander-clustering"]], "min_edge_cover": [[265, "min-edge-cover"], [442, "min-edge-cover"]], "generate_edgelist": [[266, "generate-edgelist"], [1341, "generate-edgelist"]], "parse_edgelist": [[267, "parse-edgelist"], [1342, "parse-edgelist"]], "read_edgelist": [[268, "read-edgelist"], [1343, "read-edgelist"]], "write_edgelist": [[269, "write-edgelist"], [1345, "write-edgelist"]], "alternating_havel_hakimi_graph": [[270, "alternating-havel-hakimi-graph"]], "complete_bipartite_graph": [[271, "complete-bipartite-graph"]], "configuration_model": [[272, "configuration-model"], [1181, "configuration-model"]], "gnmk_random_graph": [[273, "gnmk-random-graph"]], "havel_hakimi_graph": [[274, "havel-hakimi-graph"], [1186, "havel-hakimi-graph"]], "preferential_attachment_graph": [[275, "preferential-attachment-graph"]], "random_graph": [[276, "random-graph"]], "reverse_havel_hakimi_graph": [[277, "reverse-havel-hakimi-graph"]], "eppstein_matching": [[278, "eppstein-matching"]], "hopcroft_karp_matching": [[279, "hopcroft-karp-matching"]], "maximum_matching": [[280, "maximum-matching"]], "minimum_weight_full_matching": [[281, "minimum-weight-full-matching"]], "to_vertex_cover": [[282, "to-vertex-cover"]], "biadjacency_matrix": [[283, "biadjacency-matrix"]], "from_biadjacency_matrix": [[284, "from-biadjacency-matrix"]], "collaboration_weighted_projected_graph": [[285, "collaboration-weighted-projected-graph"]], "generic_weighted_projected_graph": [[286, "generic-weighted-projected-graph"]], "overlap_weighted_projected_graph": [[287, "overlap-weighted-projected-graph"]], "projected_graph": [[288, "projected-graph"]], "weighted_projected_graph": [[289, "weighted-projected-graph"]], "node_redundancy": [[290, "node-redundancy"]], "spectral_bipartivity": [[291, "spectral-bipartivity"]], "edge_boundary": [[292, "edge-boundary"]], "node_boundary": [[293, "node-boundary"]], "bridges": [[294, "bridges"]], "has_bridges": [[295, "has-bridges"]], "local_bridges": [[296, "local-bridges"]], "approximate_current_flow_betweenness_centrality": [[297, "approximate-current-flow-betweenness-centrality"]], "betweenness_centrality_subset": [[299, "betweenness-centrality-subset"]], "communicability_betweenness_centrality": [[301, "communicability-betweenness-centrality"]], "current_flow_betweenness_centrality": [[302, "current-flow-betweenness-centrality"]], "current_flow_betweenness_centrality_subset": [[303, "current-flow-betweenness-centrality-subset"]], "current_flow_closeness_centrality": [[304, "current-flow-closeness-centrality"]], "dispersion": [[306, "dispersion"]], "edge_betweenness_centrality": [[307, "edge-betweenness-centrality"]], "edge_betweenness_centrality_subset": [[308, "edge-betweenness-centrality-subset"]], "edge_current_flow_betweenness_centrality": [[309, "edge-current-flow-betweenness-centrality"]], "edge_current_flow_betweenness_centrality_subset": [[310, "edge-current-flow-betweenness-centrality-subset"]], "edge_load_centrality": [[311, "edge-load-centrality"]], "eigenvector_centrality": [[312, "eigenvector-centrality"]], "eigenvector_centrality_numpy": [[313, "eigenvector-centrality-numpy"]], "estrada_index": [[314, "estrada-index"]], "global_reaching_centrality": [[315, "global-reaching-centrality"]], "group_betweenness_centrality": [[316, "group-betweenness-centrality"]], "group_closeness_centrality": [[317, "group-closeness-centrality"]], "group_degree_centrality": [[318, "group-degree-centrality"]], "group_in_degree_centrality": [[319, "group-in-degree-centrality"]], "group_out_degree_centrality": [[320, "group-out-degree-centrality"]], "harmonic_centrality": [[321, "harmonic-centrality"]], "in_degree_centrality": [[322, "in-degree-centrality"]], "incremental_closeness_centrality": [[323, "incremental-closeness-centrality"]], "information_centrality": [[324, "information-centrality"]], "katz_centrality": [[325, "katz-centrality"]], "katz_centrality_numpy": [[326, "katz-centrality-numpy"]], "laplacian_centrality": [[327, "laplacian-centrality"]], "load_centrality": [[328, "load-centrality"]], "local_reaching_centrality": [[329, "local-reaching-centrality"]], "out_degree_centrality": [[330, "out-degree-centrality"]], "percolation_centrality": [[331, "percolation-centrality"]], "prominent_group": [[332, "prominent-group"]], "second_order_centrality": [[333, "second-order-centrality"]], "subgraph_centrality": [[334, "subgraph-centrality"]], "subgraph_centrality_exp": [[335, "subgraph-centrality-exp"]], "trophic_differences": [[336, "trophic-differences"]], "trophic_incoherence_parameter": [[337, "trophic-incoherence-parameter"]], "trophic_levels": [[338, "trophic-levels"]], "voterank": [[339, "voterank"]], "chain_decomposition": [[340, "chain-decomposition"]], "chordal_graph_cliques": [[341, "chordal-graph-cliques"]], "chordal_graph_treewidth": [[342, "chordal-graph-treewidth"]], "complete_to_chordal_graph": [[343, "complete-to-chordal-graph"]], "find_induced_nodes": [[344, "find-induced-nodes"]], "is_chordal": [[345, "is-chordal"]], "cliques_containing_node": [[346, "cliques-containing-node"]], "enumerate_all_cliques": [[347, "enumerate-all-cliques"]], "find_cliques": [[348, "find-cliques"]], "find_cliques_recursive": [[349, "find-cliques-recursive"]], "graph_clique_number": [[350, "graph-clique-number"]], "graph_number_of_cliques": [[351, "graph-number-of-cliques"]], "make_clique_bipartite": [[352, "make-clique-bipartite"]], "make_max_clique_graph": [[353, "make-max-clique-graph"]], "max_weight_clique": [[354, "max-weight-clique"]], "node_clique_number": [[355, "node-clique-number"]], "number_of_cliques": [[356, "number-of-cliques"]], "generalized_degree": [[359, "generalized-degree"]], "square_clustering": [[360, "square-clustering"]], "transitivity": [[361, "transitivity"]], "triangles": [[362, "triangles"]], "equitable_color": [[363, "equitable-color"]], "greedy_color": [[364, "greedy-color"]], "strategy_connected_sequential": [[365, "strategy-connected-sequential"]], "strategy_connected_sequential_bfs": [[366, "strategy-connected-sequential-bfs"]], "strategy_connected_sequential_dfs": [[367, "strategy-connected-sequential-dfs"]], "strategy_independent_set": [[368, "strategy-independent-set"]], "strategy_largest_first": [[369, "strategy-largest-first"]], "strategy_random_sequential": [[370, "strategy-random-sequential"]], "strategy_saturation_largest_first": [[371, "strategy-saturation-largest-first"]], "strategy_smallest_last": [[372, "strategy-smallest-last"]], "communicability": [[373, "communicability"]], "communicability_exp": [[374, "communicability-exp"]], "asyn_fluidc": [[375, "asyn-fluidc"]], "girvan_newman": [[376, "girvan-newman"]], "is_partition": [[377, "is-partition"]], "k_clique_communities": [[378, "k-clique-communities"]], "kernighan_lin_bisection": [[379, "kernighan-lin-bisection"]], "asyn_lpa_communities": [[380, "asyn-lpa-communities"]], "label_propagation_communities": [[381, "label-propagation-communities"]], "louvain_communities": [[382, "louvain-communities"]], "louvain_partitions": [[383, "louvain-partitions"]], "lukes_partitioning": [[384, "lukes-partitioning"]], "greedy_modularity_communities": [[385, "greedy-modularity-communities"]], "naive_greedy_modularity_communities": [[386, "naive-greedy-modularity-communities"]], "modularity": [[387, "modularity"]], "partition_quality": [[388, "partition-quality"]], "articulation_points": [[389, "articulation-points"]], "attracting_components": [[390, "attracting-components"]], "biconnected_component_edges": [[391, "biconnected-component-edges"]], "biconnected_components": [[392, "biconnected-components"]], "condensation": [[393, "condensation"]], "connected_components": [[394, "connected-components"]], "is_attracting_component": [[395, "is-attracting-component"]], "is_biconnected": [[396, "is-biconnected"]], "is_connected": [[397, "is-connected"]], "is_semiconnected": [[398, "is-semiconnected"]], "is_strongly_connected": [[399, "is-strongly-connected"], [701, "is-strongly-connected"]], "is_weakly_connected": [[400, "is-weakly-connected"]], "kosaraju_strongly_connected_components": [[401, "kosaraju-strongly-connected-components"]], "node_connected_component": [[402, "node-connected-component"]], "number_attracting_components": [[403, "number-attracting-components"]], "number_connected_components": [[404, "number-connected-components"]], "number_strongly_connected_components": [[405, "number-strongly-connected-components"]], "number_weakly_connected_components": [[406, "number-weakly-connected-components"]], "strongly_connected_components": [[407, "strongly-connected-components"]], "strongly_connected_components_recursive": [[408, "strongly-connected-components-recursive"]], "weakly_connected_components": [[409, "weakly-connected-components"]], "average_node_connectivity": [[411, "average-node-connectivity"]], "edge_connectivity": [[412, "edge-connectivity"]], "local_edge_connectivity": [[413, "local-edge-connectivity"]], "minimum_edge_cut": [[416, "minimum-edge-cut"]], "minimum_node_cut": [[417, "minimum-node-cut"]], "minimum_st_edge_cut": [[418, "minimum-st-edge-cut"]], "minimum_st_node_cut": [[419, "minimum-st-node-cut"]], "edge_disjoint_paths": [[420, "edge-disjoint-paths"]], "node_disjoint_paths": [[421, "node-disjoint-paths"]], "is_k_edge_connected": [[422, "is-k-edge-connected"]], "is_locally_k_edge_connected": [[423, "is-locally-k-edge-connected"]], "k_edge_augmentation": [[424, "k-edge-augmentation"]], "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph": [[425, "networkx-algorithms-connectivity-edge-kcomponents-edgecomponentauxgraph"]], "bridge_components": [[426, "bridge-components"]], "k_edge_components": [[427, "k-edge-components"]], "k_edge_subgraphs": [[428, "k-edge-subgraphs"]], "all_node_cuts": [[430, "all-node-cuts"]], "stoer_wagner": [[431, "stoer-wagner"]], "build_auxiliary_edge_connectivity": [[432, "build-auxiliary-edge-connectivity"]], "build_auxiliary_node_connectivity": [[433, "build-auxiliary-node-connectivity"]], "core_number": [[434, "core-number"]], "k_core": [[435, "k-core"]], "k_corona": [[436, "k-corona"]], "k_crust": [[437, "k-crust"]], "k_shell": [[438, "k-shell"]], "k_truss": [[439, "k-truss"]], "onion_layers": [[440, "onion-layers"]], "is_edge_cover": [[441, "is-edge-cover"]], "boundary_expansion": [[443, "boundary-expansion"]], "conductance": [[444, "conductance"]], "cut_size": [[445, "cut-size"]], "edge_expansion": [[446, "edge-expansion"]], "mixing_expansion": [[447, "mixing-expansion"]], "node_expansion": [[448, "node-expansion"]], "normalized_cut_size": [[449, "normalized-cut-size"]], "volume": [[450, "volume"]], "cycle_basis": [[451, "cycle-basis"]], "find_cycle": [[452, "find-cycle"]], "minimum_cycle_basis": [[453, "minimum-cycle-basis"]], "recursive_simple_cycles": [[454, "recursive-simple-cycles"]], "simple_cycles": [[455, "simple-cycles"]], "d_separated": [[456, "d-separated"]], "all_topological_sorts": [[457, "all-topological-sorts"]], "ancestors": [[458, "ancestors"]], "antichains": [[459, "antichains"]], "dag_longest_path": [[460, "dag-longest-path"]], "dag_longest_path_length": [[461, "dag-longest-path-length"]], "dag_to_branching": [[462, "dag-to-branching"]], "descendants": [[463, "descendants"]], "is_aperiodic": [[464, "is-aperiodic"]], "is_directed_acyclic_graph": [[465, "is-directed-acyclic-graph"]], "lexicographical_topological_sort": [[466, "lexicographical-topological-sort"]], "topological_generations": [[467, "topological-generations"]], "topological_sort": [[468, "topological-sort"]], "transitive_closure": [[469, "transitive-closure"]], "transitive_closure_dag": [[470, "transitive-closure-dag"]], "transitive_reduction": [[471, "transitive-reduction"]], "barycenter": [[472, "barycenter"]], "center": [[473, "center"]], "eccentricity": [[475, "eccentricity"]], "periphery": [[476, "periphery"]], "radius": [[477, "radius"]], "resistance_distance": [[478, "resistance-distance"]], "global_parameters": [[479, "global-parameters"]], "intersection_array": [[480, "intersection-array"]], "is_distance_regular": [[481, "is-distance-regular"]], "is_strongly_regular": [[482, "is-strongly-regular"]], "dominance_frontiers": [[483, "dominance-frontiers"]], "immediate_dominators": [[484, "immediate-dominators"]], "dominating_set": [[485, "dominating-set"]], "is_dominating_set": [[486, "is-dominating-set"]], "efficiency": [[487, "efficiency"]], "global_efficiency": [[488, "global-efficiency"]], "local_efficiency": [[489, "local-efficiency"]], "eulerian_circuit": [[490, "eulerian-circuit"]], "eulerian_path": [[491, "eulerian-path"]], "eulerize": [[492, "eulerize"]], "has_eulerian_path": [[493, "has-eulerian-path"]], "is_eulerian": [[494, "is-eulerian"]], "is_semieulerian": [[495, "is-semieulerian"]], "boykov_kolmogorov": [[496, "boykov-kolmogorov"]], "build_residual_network": [[497, "build-residual-network"]], "capacity_scaling": [[498, "capacity-scaling"]], "cost_of_flow": [[499, "cost-of-flow"]], "dinitz": [[500, "dinitz"]], "edmonds_karp": [[501, "edmonds-karp"]], "gomory_hu_tree": [[502, "gomory-hu-tree"]], "max_flow_min_cost": [[503, "max-flow-min-cost"]], "maximum_flow": [[504, "maximum-flow"]], "maximum_flow_value": [[505, "maximum-flow-value"]], "min_cost_flow": [[506, "min-cost-flow"]], "min_cost_flow_cost": [[507, "min-cost-flow-cost"]], "minimum_cut": [[508, "minimum-cut"]], "minimum_cut_value": [[509, "minimum-cut-value"]], "network_simplex": [[510, "network-simplex"]], "preflow_push": [[511, "preflow-push"]], "shortest_augmenting_path": [[512, "shortest-augmenting-path"]], "weisfeiler_lehman_graph_hash": [[513, "weisfeiler-lehman-graph-hash"]], "weisfeiler_lehman_subgraph_hashes": [[514, "weisfeiler-lehman-subgraph-hashes"]], "is_digraphical": [[515, "is-digraphical"]], "is_graphical": [[516, "is-graphical"]], "is_multigraphical": [[517, "is-multigraphical"]], "is_pseudographical": [[518, "is-pseudographical"]], "is_valid_degree_sequence_erdos_gallai": [[519, "is-valid-degree-sequence-erdos-gallai"]], "is_valid_degree_sequence_havel_hakimi": [[520, "is-valid-degree-sequence-havel-hakimi"]], "flow_hierarchy": [[521, "flow-hierarchy"]], "is_kl_connected": [[522, "is-kl-connected"]], "kl_connected_subgraph": [[523, "kl-connected-subgraph"]], "is_isolate": [[524, "is-isolate"]], "isolates": [[525, "isolates"]], "number_of_isolates": [[526, "number-of-isolates"]], "DiGraphMatcher.__init__": [[527, "digraphmatcher-init"]], "DiGraphMatcher.candidate_pairs_iter": [[528, "digraphmatcher-candidate-pairs-iter"]], "DiGraphMatcher.initialize": [[529, "digraphmatcher-initialize"]], "DiGraphMatcher.is_isomorphic": [[530, "digraphmatcher-is-isomorphic"]], "DiGraphMatcher.isomorphisms_iter": [[531, "digraphmatcher-isomorphisms-iter"]], "DiGraphMatcher.match": [[532, "digraphmatcher-match"]], "DiGraphMatcher.semantic_feasibility": [[533, "digraphmatcher-semantic-feasibility"]], "DiGraphMatcher.subgraph_is_isomorphic": [[534, "digraphmatcher-subgraph-is-isomorphic"]], "DiGraphMatcher.subgraph_isomorphisms_iter": [[535, "digraphmatcher-subgraph-isomorphisms-iter"]], "DiGraphMatcher.syntactic_feasibility": [[536, "digraphmatcher-syntactic-feasibility"]], "GraphMatcher.__init__": [[537, "graphmatcher-init"]], "GraphMatcher.candidate_pairs_iter": [[538, "graphmatcher-candidate-pairs-iter"]], "GraphMatcher.initialize": [[539, "graphmatcher-initialize"]], "GraphMatcher.is_isomorphic": [[540, "graphmatcher-is-isomorphic"]], "GraphMatcher.isomorphisms_iter": [[541, "graphmatcher-isomorphisms-iter"]], "GraphMatcher.match": [[542, "graphmatcher-match"]], "GraphMatcher.semantic_feasibility": [[543, "graphmatcher-semantic-feasibility"]], "GraphMatcher.subgraph_is_isomorphic": [[544, "graphmatcher-subgraph-is-isomorphic"]], "GraphMatcher.subgraph_isomorphisms_iter": [[545, "graphmatcher-subgraph-isomorphisms-iter"]], "GraphMatcher.syntactic_feasibility": [[546, "graphmatcher-syntactic-feasibility"]], "networkx.algorithms.isomorphism.ISMAGS": [[547, "networkx-algorithms-isomorphism-ismags"]], "categorical_edge_match": [[548, "categorical-edge-match"]], "categorical_multiedge_match": [[549, "categorical-multiedge-match"]], "categorical_node_match": [[550, "categorical-node-match"]], "could_be_isomorphic": [[551, "could-be-isomorphic"]], "fast_could_be_isomorphic": [[552, "fast-could-be-isomorphic"]], "faster_could_be_isomorphic": [[553, "faster-could-be-isomorphic"]], "generic_edge_match": [[554, "generic-edge-match"]], "generic_multiedge_match": [[555, "generic-multiedge-match"]], "generic_node_match": [[556, "generic-node-match"]], "is_isomorphic": [[557, "is-isomorphic"]], "numerical_edge_match": [[558, "numerical-edge-match"]], "numerical_multiedge_match": [[559, "numerical-multiedge-match"]], "numerical_node_match": [[560, "numerical-node-match"]], "rooted_tree_isomorphism": [[561, "rooted-tree-isomorphism"]], "tree_isomorphism": [[562, "tree-isomorphism"]], "vf2pp_all_isomorphisms": [[563, "vf2pp-all-isomorphisms"]], "vf2pp_is_isomorphic": [[564, "vf2pp-is-isomorphic"]], "vf2pp_isomorphism": [[565, "vf2pp-isomorphism"]], "hits": [[566, "hits"]], "google_matrix": [[567, "google-matrix"]], "pagerank": [[568, "pagerank"]], "adamic_adar_index": [[569, "adamic-adar-index"]], "cn_soundarajan_hopcroft": [[570, "cn-soundarajan-hopcroft"]], "common_neighbor_centrality": [[571, "common-neighbor-centrality"]], "jaccard_coefficient": [[572, "jaccard-coefficient"]], "preferential_attachment": [[573, "preferential-attachment"]], "ra_index_soundarajan_hopcroft": [[574, "ra-index-soundarajan-hopcroft"]], "resource_allocation_index": [[575, "resource-allocation-index"]], "within_inter_cluster": [[576, "within-inter-cluster"]], "all_pairs_lowest_common_ancestor": [[577, "all-pairs-lowest-common-ancestor"]], "lowest_common_ancestor": [[578, "lowest-common-ancestor"]], "tree_all_pairs_lowest_common_ancestor": [[579, "tree-all-pairs-lowest-common-ancestor"]], "is_matching": [[580, "is-matching"]], "is_maximal_matching": [[581, "is-maximal-matching"]], "is_perfect_matching": [[582, "is-perfect-matching"]], "max_weight_matching": [[583, "max-weight-matching"]], "maximal_matching": [[584, "maximal-matching"]], "min_weight_matching": [[585, "min-weight-matching"]], "contracted_edge": [[586, "contracted-edge"]], "contracted_nodes": [[587, "contracted-nodes"]], "equivalence_classes": [[588, "equivalence-classes"]], "identified_nodes": [[589, "identified-nodes"]], "quotient_graph": [[590, "quotient-graph"]], "maximal_independent_set": [[591, "maximal-independent-set"]], "moral_graph": [[592, "moral-graph"]], "harmonic_function": [[593, "harmonic-function"]], "local_and_global_consistency": [[594, "local-and-global-consistency"]], "non_randomness": [[595, "non-randomness"]], "compose_all": [[596, "compose-all"]], "disjoint_union_all": [[597, "disjoint-union-all"]], "intersection_all": [[598, "intersection-all"]], "union_all": [[599, "union-all"]], "compose": [[600, "compose"]], "difference": [[601, "difference"]], "disjoint_union": [[602, "disjoint-union"]], "full_join": [[603, "full-join"]], "intersection": [[604, "intersection"]], "symmetric_difference": [[605, "symmetric-difference"]], "union": [[606, "union"]], "cartesian_product": [[607, "cartesian-product"]], "corona_product": [[608, "corona-product"]], "lexicographic_product": [[609, "lexicographic-product"]], "power": [[610, "power"]], "rooted_product": [[611, "rooted-product"]], "strong_product": [[612, "strong-product"]], "tensor_product": [[613, "tensor-product"]], "complement": [[614, "complement"]], "reverse": [[615, "reverse"]], "combinatorial_embedding_to_pos": [[616, "combinatorial-embedding-to-pos"]], "networkx.algorithms.planarity.PlanarEmbedding": [[617, "networkx-algorithms-planarity-planarembedding"]], "check_planarity": [[618, "check-planarity"]], "is_planar": [[619, "is-planar"]], "chromatic_polynomial": [[620, "chromatic-polynomial"]], "tutte_polynomial": [[621, "tutte-polynomial"]], "overall_reciprocity": [[622, "overall-reciprocity"]], "reciprocity": [[623, "reciprocity"]], "is_k_regular": [[624, "is-k-regular"]], "is_regular": [[625, "is-regular"]], "k_factor": [[626, "k-factor"]], "rich_club_coefficient": [[627, "rich-club-coefficient"]], "astar_path": [[628, "astar-path"]], "astar_path_length": [[629, "astar-path-length"]], "floyd_warshall": [[630, "floyd-warshall"]], "floyd_warshall_numpy": [[631, "floyd-warshall-numpy"]], "floyd_warshall_predecessor_and_distance": [[632, "floyd-warshall-predecessor-and-distance"]], "reconstruct_path": [[633, "reconstruct-path"]], "all_shortest_paths": [[634, "all-shortest-paths"]], "average_shortest_path_length": [[635, "average-shortest-path-length"]], "has_path": [[636, "has-path"]], "shortest_path": [[637, "shortest-path"]], "shortest_path_length": [[638, "shortest-path-length"]], "all_pairs_shortest_path": [[639, "all-pairs-shortest-path"]], "all_pairs_shortest_path_length": [[640, "all-pairs-shortest-path-length"]], "bidirectional_shortest_path": [[641, "bidirectional-shortest-path"]], "predecessor": [[642, "predecessor"]], "single_source_shortest_path": [[643, "single-source-shortest-path"]], "single_source_shortest_path_length": [[644, "single-source-shortest-path-length"]], "single_target_shortest_path": [[645, "single-target-shortest-path"]], "single_target_shortest_path_length": [[646, "single-target-shortest-path-length"]], "all_pairs_bellman_ford_path": [[647, "all-pairs-bellman-ford-path"]], "all_pairs_bellman_ford_path_length": [[648, "all-pairs-bellman-ford-path-length"]], "all_pairs_dijkstra": [[649, "all-pairs-dijkstra"]], "all_pairs_dijkstra_path": [[650, "all-pairs-dijkstra-path"]], "all_pairs_dijkstra_path_length": [[651, "all-pairs-dijkstra-path-length"]], "bellman_ford_path": [[652, "bellman-ford-path"]], "bellman_ford_path_length": [[653, "bellman-ford-path-length"]], "bellman_ford_predecessor_and_distance": [[654, "bellman-ford-predecessor-and-distance"]], "bidirectional_dijkstra": [[655, "bidirectional-dijkstra"]], "dijkstra_path": [[656, "dijkstra-path"]], "dijkstra_path_length": [[657, "dijkstra-path-length"]], "dijkstra_predecessor_and_distance": [[658, "dijkstra-predecessor-and-distance"]], "find_negative_cycle": [[659, "find-negative-cycle"]], "goldberg_radzik": [[660, "goldberg-radzik"]], "johnson": [[661, "johnson"]], "multi_source_dijkstra": [[662, "multi-source-dijkstra"]], "multi_source_dijkstra_path": [[663, "multi-source-dijkstra-path"]], "multi_source_dijkstra_path_length": [[664, "multi-source-dijkstra-path-length"]], "negative_edge_cycle": [[665, "negative-edge-cycle"]], "single_source_bellman_ford": [[666, "single-source-bellman-ford"]], "single_source_bellman_ford_path": [[667, "single-source-bellman-ford-path"]], "single_source_bellman_ford_path_length": [[668, "single-source-bellman-ford-path-length"]], "single_source_dijkstra": [[669, "single-source-dijkstra"]], "single_source_dijkstra_path": [[670, "single-source-dijkstra-path"]], "single_source_dijkstra_path_length": [[671, "single-source-dijkstra-path-length"]], "generate_random_paths": [[672, "generate-random-paths"]], "graph_edit_distance": [[673, "graph-edit-distance"]], "optimal_edit_paths": [[674, "optimal-edit-paths"]], "optimize_edit_paths": [[675, "optimize-edit-paths"]], "optimize_graph_edit_distance": [[676, "optimize-graph-edit-distance"]], "panther_similarity": [[677, "panther-similarity"]], "simrank_similarity": [[678, "simrank-similarity"]], "all_simple_edge_paths": [[679, "all-simple-edge-paths"]], "all_simple_paths": [[680, "all-simple-paths"]], "is_simple_path": [[681, "is-simple-path"]], "shortest_simple_paths": [[682, "shortest-simple-paths"]], "lattice_reference": [[683, "lattice-reference"]], "omega": [[684, "omega"]], "random_reference": [[685, "random-reference"]], "sigma": [[686, "sigma"]], "s_metric": [[687, "s-metric"]], "spanner": [[688, "spanner"]], "constraint": [[689, "constraint"]], "effective_size": [[690, "effective-size"]], "local_constraint": [[691, "local-constraint"]], "dedensify": [[692, "dedensify"]], "snap_aggregation": [[693, "snap-aggregation"]], "connected_double_edge_swap": [[694, "connected-double-edge-swap"]], "directed_edge_swap": [[695, "directed-edge-swap"]], "double_edge_swap": [[696, "double-edge-swap"]], "find_threshold_graph": [[697, "find-threshold-graph"]], "is_threshold_graph": [[698, "is-threshold-graph"]], "hamiltonian_path": [[699, "hamiltonian-path"]], "is_reachable": [[700, "is-reachable"]], "is_tournament": [[702, "is-tournament"]], "random_tournament": [[703, "random-tournament"]], "score_sequence": [[704, "score-sequence"]], "bfs_beam_edges": [[705, "bfs-beam-edges"]], "bfs_edges": [[706, "bfs-edges"]], "bfs_layers": [[707, "bfs-layers"]], "bfs_predecessors": [[708, "bfs-predecessors"]], "bfs_successors": [[709, "bfs-successors"]], "bfs_tree": [[710, "bfs-tree"]], "descendants_at_distance": [[711, "descendants-at-distance"]], "dfs_edges": [[712, "dfs-edges"]], "dfs_labeled_edges": [[713, "dfs-labeled-edges"]], "dfs_postorder_nodes": [[714, "dfs-postorder-nodes"]], "dfs_predecessors": [[715, "dfs-predecessors"]], "dfs_preorder_nodes": [[716, "dfs-preorder-nodes"]], "dfs_successors": [[717, "dfs-successors"]], "dfs_tree": [[718, "dfs-tree"]], "edge_bfs": [[719, "edge-bfs"]], "edge_dfs": [[720, "edge-dfs"]], "networkx.algorithms.tree.branchings.ArborescenceIterator": [[721, "networkx-algorithms-tree-branchings-arborescenceiterator"]], "networkx.algorithms.tree.branchings.Edmonds": [[722, "networkx-algorithms-tree-branchings-edmonds"]], "branching_weight": [[723, "branching-weight"]], "greedy_branching": [[724, "greedy-branching"]], "maximum_branching": [[725, "maximum-branching"]], "maximum_spanning_arborescence": [[726, "maximum-spanning-arborescence"]], "minimum_branching": [[727, "minimum-branching"]], "minimum_spanning_arborescence": [[728, "minimum-spanning-arborescence"]], "NotATree": [[729, "notatree"]], "from_nested_tuple": [[730, "from-nested-tuple"]], "from_prufer_sequence": [[731, "from-prufer-sequence"]], "to_nested_tuple": [[732, "to-nested-tuple"]], "to_prufer_sequence": [[733, "to-prufer-sequence"]], "junction_tree": [[734, "junction-tree"]], "networkx.algorithms.tree.mst.SpanningTreeIterator": [[735, "networkx-algorithms-tree-mst-spanningtreeiterator"]], "maximum_spanning_edges": [[736, "maximum-spanning-edges"]], "maximum_spanning_tree": [[737, "maximum-spanning-tree"]], "minimum_spanning_edges": [[738, "minimum-spanning-edges"]], "minimum_spanning_tree": [[739, "minimum-spanning-tree"]], "random_spanning_tree": [[740, "random-spanning-tree"]], "join": [[741, "join"]], "is_arborescence": [[742, "is-arborescence"]], "is_branching": [[743, "is-branching"]], "is_forest": [[744, "is-forest"]], "is_tree": [[745, "is-tree"]], "all_triads": [[746, "all-triads"]], "all_triplets": [[747, "all-triplets"]], "is_triad": [[748, "is-triad"]], "random_triad": [[749, "random-triad"]], "triad_type": [[750, "triad-type"]], "triadic_census": [[751, "triadic-census"]], "triads_by_type": [[752, "triads-by-type"]], "closeness_vitality": [[753, "closeness-vitality"]], "voronoi_cells": [[754, "voronoi-cells"]], "wiener_index": [[755, "wiener-index"]], "Graph Hashing": [[756, "module-networkx.algorithms.graph_hashing"]], "Graphical degree sequence": [[757, "module-networkx.algorithms.graphical"]], "Hierarchy": [[758, "module-networkx.algorithms.hierarchy"]], "Hybrid": [[759, "module-networkx.algorithms.hybrid"]], "Isolates": [[761, "module-networkx.algorithms.isolate"]], "Isomorphism": [[762, "isomorphism"]], "VF2++": [[762, "module-networkx.algorithms.isomorphism.vf2pp"]], "VF2++ Algorithm": [[762, "vf2-algorithm"]], "Tree Isomorphism": [[762, "module-networkx.algorithms.isomorphism.tree_isomorphism"]], "Advanced Interfaces": [[762, "advanced-interfaces"]], "ISMAGS Algorithm": [[763, "module-networkx.algorithms.isomorphism.ismags"]], "Notes": [[763, "notes"], [764, "notes"], [1045, "notes"]], "ISMAGS object": [[763, "ismags-object"]], "VF2 Algorithm": [[764, "module-networkx.algorithms.isomorphism.isomorphvf2"]], "Subgraph Isomorphism": [[764, "subgraph-isomorphism"]], "Graph Matcher": [[764, "graph-matcher"]], "DiGraph Matcher": [[764, "digraph-matcher"]], "Match helpers": [[764, "match-helpers"]], "Link Analysis": [[765, "link-analysis"]], "PageRank": [[765, "module-networkx.algorithms.link_analysis.pagerank_alg"]], "Hits": [[765, "module-networkx.algorithms.link_analysis.hits_alg"]], "Link Prediction": [[766, "module-networkx.algorithms.link_prediction"]], "Lowest Common Ancestor": [[767, "module-networkx.algorithms.lowest_common_ancestors"]], "Minors": [[769, "module-networkx.algorithms.minors"]], "Maximal independent set": [[770, "module-networkx.algorithms.mis"]], "Moral": [[771, "module-networkx.algorithms.moral"]], "Node Classification": [[772, "module-networkx.algorithms.node_classification"]], "non-randomness": [[773, "module-networkx.algorithms.non_randomness"]], "Operators": [[774, "operators"]], "Planar Drawing": [[775, "module-networkx.algorithms.planar_drawing"]], "Planarity": [[776, "module-networkx.algorithms.planarity"]], "Graph Polynomials": [[777, "module-networkx.algorithms.polynomials"]], "Reciprocity": [[778, "module-networkx.algorithms.reciprocity"]], "Regular": [[779, "module-networkx.algorithms.regular"]], "Rich Club": [[780, "module-networkx.algorithms.richclub"]], "Shortest Paths": [[781, "module-networkx.algorithms.shortest_paths.generic"]], "Advanced Interface": [[781, "module-networkx.algorithms.shortest_paths.unweighted"]], "Dense Graphs": [[781, "module-networkx.algorithms.shortest_paths.dense"]], "A* Algorithm": [[781, "module-networkx.algorithms.shortest_paths.astar"]], "Similarity Measures": [[782, "module-networkx.algorithms.similarity"]], "Simple Paths": [[783, "module-networkx.algorithms.simple_paths"]], "Small-world": [[784, "module-networkx.algorithms.smallworld"]], "s metric": [[785, "module-networkx.algorithms.smetric"]], "Sparsifiers": [[786, "module-networkx.algorithms.sparsifiers"]], "Structural holes": [[787, "module-networkx.algorithms.structuralholes"]], "Summarization": [[788, "module-networkx.algorithms.summarization"]], "Swap": [[789, "module-networkx.algorithms.swap"]], "Threshold Graphs": [[790, "module-networkx.algorithms.threshold"]], "Tournament": [[791, "module-networkx.algorithms.tournament"]], "Traversal": [[792, "traversal"]], "Depth First Search": [[792, "module-networkx.algorithms.traversal.depth_first_search"]], "Breadth First Search": [[792, "module-networkx.algorithms.traversal.breadth_first_search"]], "Beam search": [[792, "module-networkx.algorithms.traversal.beamsearch"]], "Depth First Search on Edges": [[792, "module-networkx.algorithms.traversal.edgedfs"]], "Breadth First Search on Edges": [[792, "module-networkx.algorithms.traversal.edgebfs"]], "Tree": [[793, "tree"]], "Recognition": [[793, "module-networkx.algorithms.tree.recognition"]], "Recognition Tests": [[793, "recognition-tests"]], "Branchings and Spanning Arborescences": [[793, "module-networkx.algorithms.tree.branchings"]], "Encoding and decoding": [[793, "module-networkx.algorithms.tree.coding"]], "Operations": [[793, "module-networkx.algorithms.tree.operations"]], "Spanning Trees": [[793, "module-networkx.algorithms.tree.mst"]], "Exceptions": [[793, "exceptions"], [1046, "module-networkx.exception"]], "Vitality": [[795, "module-networkx.algorithms.vitality"]], "Voronoi cells": [[796, "module-networkx.algorithms.voronoi"]], "Wiener index": [[797, "module-networkx.algorithms.wiener"]], "DiGraph\u2014Directed graphs with self loops": [[798, "digraph-directed-graphs-with-self-loops"]], "Overview": [[798, "overview"], [1040, "overview"], [1042, "overview"], [1043, "overview"]], "Methods": [[798, "methods"], [1040, "methods"], [1042, "methods"], [1043, "methods"]], "Adding and removing nodes and edges": [[798, "adding-and-removing-nodes-and-edges"], [1040, "adding-and-removing-nodes-and-edges"], [1043, "adding-and-removing-nodes-and-edges"]], "Reporting nodes edges and neighbors": [[798, "reporting-nodes-edges-and-neighbors"], [1040, "reporting-nodes-edges-and-neighbors"], [1042, "reporting-nodes-edges-and-neighbors"], [1043, "reporting-nodes-edges-and-neighbors"]], "Counting nodes edges and neighbors": [[798, "counting-nodes-edges-and-neighbors"], [1040, "counting-nodes-edges-and-neighbors"], [1042, "counting-nodes-edges-and-neighbors"], [1043, "counting-nodes-edges-and-neighbors"]], "Making copies and subgraphs": [[798, "making-copies-and-subgraphs"], [1040, "making-copies-and-subgraphs"], [1042, "making-copies-and-subgraphs"], [1043, "making-copies-and-subgraphs"]], "AdjacencyView.copy": [[799, "adjacencyview-copy"]], "AdjacencyView.get": [[800, "adjacencyview-get"]], "AdjacencyView.items": [[801, "adjacencyview-items"]], "AdjacencyView.keys": [[802, "adjacencyview-keys"]], "AdjacencyView.values": [[803, "adjacencyview-values"]], "AtlasView.copy": [[804, "atlasview-copy"]], "AtlasView.get": [[805, "atlasview-get"]], "AtlasView.items": [[806, "atlasview-items"]], "AtlasView.keys": [[807, "atlasview-keys"]], "AtlasView.values": [[808, "atlasview-values"]], "FilterAdjacency.get": [[809, "filteradjacency-get"]], "FilterAdjacency.items": [[810, "filteradjacency-items"]], "FilterAdjacency.keys": [[811, "filteradjacency-keys"]], "FilterAdjacency.values": [[812, "filteradjacency-values"]], "FilterAtlas.get": [[813, "filteratlas-get"]], "FilterAtlas.items": [[814, "filteratlas-items"]], "FilterAtlas.keys": [[815, "filteratlas-keys"]], "FilterAtlas.values": [[816, "filteratlas-values"]], "FilterMultiAdjacency.get": [[817, "filtermultiadjacency-get"]], "FilterMultiAdjacency.items": [[818, "filtermultiadjacency-items"]], "FilterMultiAdjacency.keys": [[819, "filtermultiadjacency-keys"]], "FilterMultiAdjacency.values": [[820, "filtermultiadjacency-values"]], "FilterMultiInner.get": [[821, "filtermultiinner-get"]], "FilterMultiInner.items": [[822, "filtermultiinner-items"]], "FilterMultiInner.keys": [[823, "filtermultiinner-keys"]], "FilterMultiInner.values": [[824, "filtermultiinner-values"]], "MultiAdjacencyView.copy": [[825, "multiadjacencyview-copy"]], "MultiAdjacencyView.get": [[826, "multiadjacencyview-get"]], "MultiAdjacencyView.items": [[827, "multiadjacencyview-items"]], "MultiAdjacencyView.keys": [[828, "multiadjacencyview-keys"]], "MultiAdjacencyView.values": [[829, "multiadjacencyview-values"]], "UnionAdjacency.copy": [[830, "unionadjacency-copy"]], "UnionAdjacency.get": [[831, "unionadjacency-get"]], "UnionAdjacency.items": [[832, "unionadjacency-items"]], "UnionAdjacency.keys": [[833, "unionadjacency-keys"]], "UnionAdjacency.values": [[834, "unionadjacency-values"]], "UnionAtlas.copy": [[835, "unionatlas-copy"]], "UnionAtlas.get": [[836, "unionatlas-get"]], "UnionAtlas.items": [[837, "unionatlas-items"]], "UnionAtlas.keys": [[838, "unionatlas-keys"]], "UnionAtlas.values": [[839, "unionatlas-values"]], "UnionMultiAdjacency.copy": [[840, "unionmultiadjacency-copy"]], "UnionMultiAdjacency.get": [[841, "unionmultiadjacency-get"]], "UnionMultiAdjacency.items": [[842, "unionmultiadjacency-items"]], "UnionMultiAdjacency.keys": [[843, "unionmultiadjacency-keys"]], "UnionMultiAdjacency.values": [[844, "unionmultiadjacency-values"]], "UnionMultiInner.copy": [[845, "unionmultiinner-copy"]], "UnionMultiInner.get": [[846, "unionmultiinner-get"]], "UnionMultiInner.items": [[847, "unionmultiinner-items"]], "UnionMultiInner.keys": [[848, "unionmultiinner-keys"]], "UnionMultiInner.values": [[849, "unionmultiinner-values"]], "DiGraph.__contains__": [[850, "digraph-contains"]], "DiGraph.__getitem__": [[851, "digraph-getitem"]], "DiGraph.__init__": [[852, "digraph-init"]], "DiGraph.__iter__": [[853, "digraph-iter"]], "DiGraph.__len__": [[854, "digraph-len"]], "DiGraph.add_edge": [[855, "digraph-add-edge"]], "DiGraph.add_edges_from": [[856, "digraph-add-edges-from"]], "DiGraph.add_node": [[857, "digraph-add-node"]], "DiGraph.add_nodes_from": [[858, "digraph-add-nodes-from"]], "DiGraph.add_weighted_edges_from": [[859, "digraph-add-weighted-edges-from"]], "DiGraph.adj": [[860, "digraph-adj"]], "DiGraph.adjacency": [[861, "digraph-adjacency"]], "DiGraph.clear": [[862, "digraph-clear"]], "DiGraph.clear_edges": [[863, "digraph-clear-edges"]], "DiGraph.copy": [[864, "digraph-copy"]], "DiGraph.degree": [[865, "digraph-degree"]], "DiGraph.edge_subgraph": [[866, "digraph-edge-subgraph"]], "DiGraph.edges": [[867, "digraph-edges"]], "DiGraph.get_edge_data": [[868, "digraph-get-edge-data"]], "DiGraph.has_edge": [[869, "digraph-has-edge"]], "DiGraph.has_node": [[870, "digraph-has-node"]], "DiGraph.in_degree": [[871, "digraph-in-degree"]], "DiGraph.in_edges": [[872, "digraph-in-edges"]], "DiGraph.nbunch_iter": [[873, "digraph-nbunch-iter"]], "DiGraph.neighbors": [[874, "digraph-neighbors"]], "DiGraph.nodes": [[875, "digraph-nodes"]], "DiGraph.number_of_edges": [[876, "digraph-number-of-edges"]], "DiGraph.number_of_nodes": [[877, "digraph-number-of-nodes"]], "DiGraph.order": [[878, "digraph-order"]], "DiGraph.out_degree": [[879, "digraph-out-degree"]], "DiGraph.out_edges": [[880, "digraph-out-edges"]], "DiGraph.pred": [[881, "digraph-pred"]], "DiGraph.predecessors": [[882, "digraph-predecessors"]], "DiGraph.remove_edge": [[883, "digraph-remove-edge"]], "DiGraph.remove_edges_from": [[884, "digraph-remove-edges-from"]], "DiGraph.remove_node": [[885, "digraph-remove-node"]], "DiGraph.remove_nodes_from": [[886, "digraph-remove-nodes-from"]], "DiGraph.reverse": [[887, "digraph-reverse"]], "DiGraph.size": [[888, "digraph-size"]], "DiGraph.subgraph": [[889, "digraph-subgraph"]], "DiGraph.succ": [[890, "digraph-succ"]], "DiGraph.successors": [[891, "digraph-successors"]], "DiGraph.to_directed": [[892, "digraph-to-directed"]], "DiGraph.to_undirected": [[893, "digraph-to-undirected"]], "DiGraph.update": [[894, "digraph-update"]], "Graph.__contains__": [[895, "graph-contains"]], "Graph.__getitem__": [[896, "graph-getitem"]], "Graph.__init__": [[897, "graph-init"]], "Graph.__iter__": [[898, "graph-iter"]], "Graph.__len__": [[899, "graph-len"]], "Graph.add_edge": [[900, "graph-add-edge"]], "Graph.add_edges_from": [[901, "graph-add-edges-from"]], "Graph.add_node": [[902, "graph-add-node"]], "Graph.add_nodes_from": [[903, "graph-add-nodes-from"]], "Graph.add_weighted_edges_from": [[904, "graph-add-weighted-edges-from"]], "Graph.adj": [[905, "graph-adj"]], "Graph.adjacency": [[906, "graph-adjacency"]], "Graph.clear": [[907, "graph-clear"]], "Graph.clear_edges": [[908, "graph-clear-edges"]], "Graph.copy": [[909, "graph-copy"]], "Graph.degree": [[910, "graph-degree"]], "Graph.edge_subgraph": [[911, "graph-edge-subgraph"]], "Graph.edges": [[912, "graph-edges"]], "Graph.get_edge_data": [[913, "graph-get-edge-data"]], "Graph.has_edge": [[914, "graph-has-edge"]], "Graph.has_node": [[915, "graph-has-node"]], "Graph.nbunch_iter": [[916, "graph-nbunch-iter"]], "Graph.neighbors": [[917, "graph-neighbors"]], "Graph.nodes": [[918, "graph-nodes"]], "Graph.number_of_edges": [[919, "graph-number-of-edges"]], "Graph.number_of_nodes": [[920, "graph-number-of-nodes"]], "Graph.order": [[921, "graph-order"]], "Graph.remove_edge": [[922, "graph-remove-edge"]], "Graph.remove_edges_from": [[923, "graph-remove-edges-from"]], "Graph.remove_node": [[924, "graph-remove-node"]], "Graph.remove_nodes_from": [[925, "graph-remove-nodes-from"]], "Graph.size": [[926, "graph-size"]], "Graph.subgraph": [[927, "graph-subgraph"]], "Graph.to_directed": [[928, "graph-to-directed"]], "Graph.to_undirected": [[929, "graph-to-undirected"]], "Graph.update": [[930, "graph-update"]], "MultiDiGraph.__contains__": [[931, "multidigraph-contains"]], "MultiDiGraph.__getitem__": [[932, "multidigraph-getitem"]], "MultiDiGraph.__init__": [[933, "multidigraph-init"]], "MultiDiGraph.__iter__": [[934, "multidigraph-iter"]], "MultiDiGraph.__len__": [[935, "multidigraph-len"]], "MultiDiGraph.add_edge": [[936, "multidigraph-add-edge"]], "MultiDiGraph.add_edges_from": [[937, "multidigraph-add-edges-from"]], "MultiDiGraph.add_node": [[938, "multidigraph-add-node"]], "MultiDiGraph.add_nodes_from": [[939, "multidigraph-add-nodes-from"]], "MultiDiGraph.add_weighted_edges_from": [[940, "multidigraph-add-weighted-edges-from"]], "MultiDiGraph.adj": [[941, "multidigraph-adj"]], "MultiDiGraph.adjacency": [[942, "multidigraph-adjacency"]], "MultiDiGraph.clear": [[943, "multidigraph-clear"]], "MultiDiGraph.clear_edges": [[944, "multidigraph-clear-edges"]], "MultiDiGraph.copy": [[945, "multidigraph-copy"]], "MultiDiGraph.degree": [[946, "multidigraph-degree"]], "MultiDiGraph.edge_subgraph": [[947, "multidigraph-edge-subgraph"]], "MultiDiGraph.edges": [[948, "multidigraph-edges"]], "MultiDiGraph.get_edge_data": [[949, "multidigraph-get-edge-data"]], "MultiDiGraph.has_edge": [[950, "multidigraph-has-edge"]], "MultiDiGraph.has_node": [[951, "multidigraph-has-node"]], "MultiDiGraph.in_degree": [[952, "multidigraph-in-degree"]], "MultiDiGraph.in_edges": [[953, "multidigraph-in-edges"]], "MultiDiGraph.nbunch_iter": [[954, "multidigraph-nbunch-iter"]], "MultiDiGraph.neighbors": [[955, "multidigraph-neighbors"]], "MultiDiGraph.new_edge_key": [[956, "multidigraph-new-edge-key"]], "MultiDiGraph.nodes": [[957, "multidigraph-nodes"]], "MultiDiGraph.number_of_edges": [[958, "multidigraph-number-of-edges"]], "MultiDiGraph.number_of_nodes": [[959, "multidigraph-number-of-nodes"]], "MultiDiGraph.order": [[960, "multidigraph-order"]], "MultiDiGraph.out_degree": [[961, "multidigraph-out-degree"]], "MultiDiGraph.out_edges": [[962, "multidigraph-out-edges"]], "MultiDiGraph.pred": [[963, "multidigraph-pred"]], "MultiDiGraph.predecessors": [[964, "multidigraph-predecessors"]], "MultiDiGraph.remove_edge": [[965, "multidigraph-remove-edge"]], "MultiDiGraph.remove_edges_from": [[966, "multidigraph-remove-edges-from"]], "MultiDiGraph.remove_node": [[967, "multidigraph-remove-node"]], "MultiDiGraph.remove_nodes_from": [[968, "multidigraph-remove-nodes-from"]], "MultiDiGraph.reverse": [[969, "multidigraph-reverse"]], "MultiDiGraph.size": [[970, "multidigraph-size"]], "MultiDiGraph.subgraph": [[971, "multidigraph-subgraph"]], "MultiDiGraph.succ": [[972, "multidigraph-succ"]], "MultiDiGraph.successors": [[973, "multidigraph-successors"]], "MultiDiGraph.to_directed": [[974, "multidigraph-to-directed"]], "MultiDiGraph.to_undirected": [[975, "multidigraph-to-undirected"]], "MultiDiGraph.update": [[976, "multidigraph-update"]], "MultiGraph.__contains__": [[977, "multigraph-contains"]], "MultiGraph.__getitem__": [[978, "multigraph-getitem"]], "MultiGraph.__init__": [[979, "multigraph-init"]], "MultiGraph.__iter__": [[980, "multigraph-iter"]], "MultiGraph.__len__": [[981, "multigraph-len"]], "MultiGraph.add_edge": [[982, "multigraph-add-edge"]], "MultiGraph.add_edges_from": [[983, "multigraph-add-edges-from"]], "MultiGraph.add_node": [[984, "multigraph-add-node"]], "MultiGraph.add_nodes_from": [[985, "multigraph-add-nodes-from"]], "MultiGraph.add_weighted_edges_from": [[986, "multigraph-add-weighted-edges-from"]], "MultiGraph.adj": [[987, "multigraph-adj"]], "MultiGraph.adjacency": [[988, "multigraph-adjacency"]], "MultiGraph.clear": [[989, "multigraph-clear"]], "MultiGraph.clear_edges": [[990, "multigraph-clear-edges"]], "MultiGraph.copy": [[991, "multigraph-copy"]], "MultiGraph.degree": [[992, "multigraph-degree"]], "MultiGraph.edge_subgraph": [[993, "multigraph-edge-subgraph"]], "MultiGraph.edges": [[994, "multigraph-edges"]], "MultiGraph.get_edge_data": [[995, "multigraph-get-edge-data"]], "MultiGraph.has_edge": [[996, "multigraph-has-edge"]], "MultiGraph.has_node": [[997, "multigraph-has-node"]], "MultiGraph.nbunch_iter": [[998, "multigraph-nbunch-iter"]], "MultiGraph.neighbors": [[999, "multigraph-neighbors"]], "MultiGraph.new_edge_key": [[1000, "multigraph-new-edge-key"]], "MultiGraph.nodes": [[1001, "multigraph-nodes"]], "MultiGraph.number_of_edges": [[1002, "multigraph-number-of-edges"]], "MultiGraph.number_of_nodes": [[1003, "multigraph-number-of-nodes"]], "MultiGraph.order": [[1004, "multigraph-order"]], "MultiGraph.remove_edge": [[1005, "multigraph-remove-edge"]], "MultiGraph.remove_edges_from": [[1006, "multigraph-remove-edges-from"]], "MultiGraph.remove_node": [[1007, "multigraph-remove-node"]], "MultiGraph.remove_nodes_from": [[1008, "multigraph-remove-nodes-from"]], "MultiGraph.size": [[1009, "multigraph-size"]], "MultiGraph.subgraph": [[1010, "multigraph-subgraph"]], "MultiGraph.to_directed": [[1011, "multigraph-to-directed"]], "MultiGraph.to_undirected": [[1012, "multigraph-to-undirected"]], "MultiGraph.update": [[1013, "multigraph-update"]], "_dispatch": [[1014, "dispatch"]], "networkx.classes.coreviews.AdjacencyView": [[1015, "networkx-classes-coreviews-adjacencyview"]], "networkx.classes.coreviews.AtlasView": [[1016, "networkx-classes-coreviews-atlasview"]], "networkx.classes.coreviews.FilterAdjacency": [[1017, "networkx-classes-coreviews-filteradjacency"]], "networkx.classes.coreviews.FilterAtlas": [[1018, "networkx-classes-coreviews-filteratlas"]], "networkx.classes.coreviews.FilterMultiAdjacency": [[1019, "networkx-classes-coreviews-filtermultiadjacency"]], "networkx.classes.coreviews.FilterMultiInner": [[1020, "networkx-classes-coreviews-filtermultiinner"]], "networkx.classes.coreviews.MultiAdjacencyView": [[1021, "networkx-classes-coreviews-multiadjacencyview"]], "networkx.classes.coreviews.UnionAdjacency": [[1022, "networkx-classes-coreviews-unionadjacency"]], "networkx.classes.coreviews.UnionAtlas": [[1023, "networkx-classes-coreviews-unionatlas"]], "networkx.classes.coreviews.UnionMultiAdjacency": [[1024, "networkx-classes-coreviews-unionmultiadjacency"]], "networkx.classes.coreviews.UnionMultiInner": [[1025, "networkx-classes-coreviews-unionmultiinner"]], "hide_diedges": [[1026, "hide-diedges"]], "hide_edges": [[1027, "hide-edges"]], "hide_multidiedges": [[1028, "hide-multidiedges"]], "hide_multiedges": [[1029, "hide-multiedges"]], "hide_nodes": [[1030, "hide-nodes"]], "no_filter": [[1031, "no-filter"]], "show_diedges": [[1032, "show-diedges"]], "show_edges": [[1033, "show-edges"]], "show_multidiedges": [[1034, "show-multidiedges"]], "show_multiedges": [[1035, "show-multiedges"]], "networkx.classes.filters.show_nodes": [[1036, "networkx-classes-filters-show-nodes"]], "generic_graph_view": [[1037, "generic-graph-view"]], "reverse_view": [[1038, "reverse-view"], [1086, "reverse-view"]], "subgraph_view": [[1039, "subgraph-view"], [1091, "subgraph-view"]], "Graph\u2014Undirected graphs with self loops": [[1040, "graph-undirected-graphs-with-self-loops"]], "Graph types": [[1041, "graph-types"]], "Which graph class should I use?": [[1041, "which-graph-class-should-i-use"]], "Basic graph types": [[1041, "basic-graph-types"]], "Graph Views": [[1041, "module-networkx.classes.graphviews"]], "Core Views": [[1041, "module-networkx.classes.coreviews"]], "Filters": [[1041, "filters"]], "Backends": [[1041, "backends"]], "Create a Dispatcher": [[1041, "create-a-dispatcher"]], "MultiDiGraph\u2014Directed graphs with self loops and parallel edges": [[1042, "multidigraph-directed-graphs-with-self-loops-and-parallel-edges"]], "Adding and Removing Nodes and Edges": [[1042, "adding-and-removing-nodes-and-edges"]], "MultiGraph\u2014Undirected graphs with self loops and parallel edges": [[1043, "multigraph-undirected-graphs-with-self-loops-and-parallel-edges"]], "Converting to and from other data formats": [[1044, "converting-to-and-from-other-data-formats"]], "To NetworkX Graph": [[1044, "module-networkx.convert"]], "Dictionaries": [[1044, "dictionaries"]], "Lists": [[1044, "lists"]], "Numpy": [[1044, "module-networkx.convert_matrix"]], "Scipy": [[1044, "scipy"]], "Pandas": [[1044, "pandas"]], "Matplotlib": [[1045, "module-networkx.drawing.nx_pylab"]], "Graphviz AGraph (dot)": [[1045, "module-networkx.drawing.nx_agraph"]], "Graphviz with pydot": [[1045, "module-networkx.drawing.nx_pydot"]], "Graph Layout": [[1045, "module-networkx.drawing.layout"]], "LaTeX Code": [[1045, "module-networkx.drawing.nx_latex"]], "The TikZ approach": [[1045, "the-tikz-approach"]], "Functions": [[1047, "module-networkx.classes.function"]], "Nodes": [[1047, "nodes"], [1436, "nodes"]], "Edges": [[1047, "edges"], [1436, "edges"]], "Self loops": [[1047, "self-loops"]], "Paths": [[1047, "paths"]], "Freezing graph structure": [[1047, "freezing-graph-structure"]], "argmap.assemble": [[1048, "argmap-assemble"]], "argmap.compile": [[1049, "argmap-compile"]], "argmap.signature": [[1050, "argmap-signature"]], "MappedQueue.pop": [[1051, "mappedqueue-pop"]], "MappedQueue.push": [[1052, "mappedqueue-push"]], "MappedQueue.remove": [[1053, "mappedqueue-remove"]], "MappedQueue.update": [[1054, "mappedqueue-update"]], "add_cycle": [[1055, "add-cycle"]], "add_path": [[1056, "add-path"]], "add_star": [[1057, "add-star"]], "all_neighbors": [[1058, "all-neighbors"]], "common_neighbors": [[1059, "common-neighbors"]], "create_empty_copy": [[1060, "create-empty-copy"]], "degree": [[1061, "degree"]], "degree_histogram": [[1062, "degree-histogram"]], "edge_subgraph": [[1064, "edge-subgraph"]], "edges": [[1065, "edges"]], "freeze": [[1066, "freeze"]], "get_edge_attributes": [[1067, "get-edge-attributes"]], "get_node_attributes": [[1068, "get-node-attributes"]], "induced_subgraph": [[1069, "induced-subgraph"]], "is_directed": [[1070, "is-directed"]], "is_empty": [[1071, "is-empty"]], "is_frozen": [[1072, "is-frozen"]], "is_negatively_weighted": [[1073, "is-negatively-weighted"]], "is_path": [[1074, "is-path"]], "is_weighted": [[1075, "is-weighted"]], "neighbors": [[1076, "neighbors"]], "nodes": [[1077, "nodes"]], "nodes_with_selfloops": [[1078, "nodes-with-selfloops"]], "non_edges": [[1079, "non-edges"]], "non_neighbors": [[1080, "non-neighbors"]], "number_of_edges": [[1081, "number-of-edges"]], "number_of_nodes": [[1082, "number-of-nodes"]], "number_of_selfloops": [[1083, "number-of-selfloops"]], "path_weight": [[1084, "path-weight"]], "restricted_view": [[1085, "restricted-view"]], "selfloop_edges": [[1087, "selfloop-edges"]], "set_edge_attributes": [[1088, "set-edge-attributes"]], "set_node_attributes": [[1089, "set-node-attributes"]], "subgraph": [[1090, "subgraph"]], "to_directed": [[1092, "to-directed"]], "to_undirected": [[1093, "to-undirected"]], "from_dict_of_dicts": [[1094, "from-dict-of-dicts"]], "from_dict_of_lists": [[1095, "from-dict-of-lists"]], "from_edgelist": [[1096, "from-edgelist"]], "to_dict_of_dicts": [[1097, "to-dict-of-dicts"]], "to_dict_of_lists": [[1098, "to-dict-of-lists"]], "to_edgelist": [[1099, "to-edgelist"]], "to_networkx_graph": [[1100, "to-networkx-graph"]], "from_numpy_array": [[1101, "from-numpy-array"]], "from_pandas_adjacency": [[1102, "from-pandas-adjacency"]], "from_pandas_edgelist": [[1103, "from-pandas-edgelist"]], "from_scipy_sparse_array": [[1104, "from-scipy-sparse-array"]], "to_numpy_array": [[1105, "to-numpy-array"]], "to_pandas_adjacency": [[1106, "to-pandas-adjacency"]], "to_pandas_edgelist": [[1107, "to-pandas-edgelist"]], "to_scipy_sparse_array": [[1108, "to-scipy-sparse-array"]], "bipartite_layout": [[1109, "bipartite-layout"]], "circular_layout": [[1110, "circular-layout"]], "kamada_kawai_layout": [[1111, "kamada-kawai-layout"]], "multipartite_layout": [[1112, "multipartite-layout"]], "planar_layout": [[1113, "planar-layout"]], "random_layout": [[1114, "random-layout"]], "rescale_layout": [[1115, "rescale-layout"]], "rescale_layout_dict": [[1116, "rescale-layout-dict"]], "shell_layout": [[1117, "shell-layout"]], "spectral_layout": [[1118, "spectral-layout"]], "spiral_layout": [[1119, "spiral-layout"]], "spring_layout": [[1120, "spring-layout"]], "from_agraph": [[1121, "from-agraph"]], "graphviz_layout": [[1122, "graphviz-layout"], [1131, "graphviz-layout"]], "pygraphviz_layout": [[1123, "pygraphviz-layout"]], "read_dot": [[1124, "read-dot"], [1133, "read-dot"]], "to_agraph": [[1125, "to-agraph"]], "write_dot": [[1126, "write-dot"], [1135, "write-dot"]], "to_latex": [[1127, "to-latex"]], "to_latex_raw": [[1128, "to-latex-raw"]], "write_latex": [[1129, "write-latex"]], "from_pydot": [[1130, "from-pydot"]], "pydot_layout": [[1132, "pydot-layout"]], "to_pydot": [[1134, "to-pydot"]], "draw": [[1136, "draw"]], "draw_circular": [[1137, "draw-circular"]], "draw_kamada_kawai": [[1138, "draw-kamada-kawai"]], "draw_networkx": [[1139, "draw-networkx"]], "draw_networkx_edge_labels": [[1140, "draw-networkx-edge-labels"]], "draw_networkx_edges": [[1141, "draw-networkx-edges"]], "draw_networkx_labels": [[1142, "draw-networkx-labels"]], "draw_networkx_nodes": [[1143, "draw-networkx-nodes"]], "draw_planar": [[1144, "draw-planar"]], "draw_random": [[1145, "draw-random"]], "draw_shell": [[1146, "draw-shell"]], "draw_spectral": [[1147, "draw-spectral"]], "draw_spring": [[1148, "draw-spring"]], "graph_atlas": [[1149, "graph-atlas"]], "graph_atlas_g": [[1150, "graph-atlas-g"]], "balanced_tree": [[1151, "balanced-tree"]], "barbell_graph": [[1152, "barbell-graph"]], "binomial_tree": [[1153, "binomial-tree"]], "circulant_graph": [[1154, "circulant-graph"]], "circular_ladder_graph": [[1155, "circular-ladder-graph"]], "complete_graph": [[1156, "complete-graph"]], "complete_multipartite_graph": [[1157, "complete-multipartite-graph"]], "cycle_graph": [[1158, "cycle-graph"]], "dorogovtsev_goltsev_mendes_graph": [[1159, "dorogovtsev-goltsev-mendes-graph"]], "empty_graph": [[1160, "empty-graph"]], "full_rary_tree": [[1161, "full-rary-tree"]], "ladder_graph": [[1162, "ladder-graph"]], "lollipop_graph": [[1163, "lollipop-graph"]], "null_graph": [[1164, "null-graph"]], "path_graph": [[1165, "path-graph"]], "star_graph": [[1166, "star-graph"]], "trivial_graph": [[1167, "trivial-graph"]], "turan_graph": [[1168, "turan-graph"]], "wheel_graph": [[1169, "wheel-graph"]], "random_cograph": [[1170, "random-cograph"]], "LFR_benchmark_graph": [[1171, "lfr-benchmark-graph"]], "caveman_graph": [[1172, "caveman-graph"]], "connected_caveman_graph": [[1173, "connected-caveman-graph"]], "gaussian_random_partition_graph": [[1174, "gaussian-random-partition-graph"]], "planted_partition_graph": [[1175, "planted-partition-graph"]], "random_partition_graph": [[1176, "random-partition-graph"]], "relaxed_caveman_graph": [[1177, "relaxed-caveman-graph"]], "ring_of_cliques": [[1178, "ring-of-cliques"]], "stochastic_block_model": [[1179, "stochastic-block-model"]], "windmill_graph": [[1180, "windmill-graph"]], "degree_sequence_tree": [[1182, "degree-sequence-tree"]], "directed_configuration_model": [[1183, "directed-configuration-model"]], "directed_havel_hakimi_graph": [[1184, "directed-havel-hakimi-graph"]], "expected_degree_graph": [[1185, "expected-degree-graph"]], "random_degree_sequence_graph": [[1187, "random-degree-sequence-graph"]], "gn_graph": [[1188, "gn-graph"]], "gnc_graph": [[1189, "gnc-graph"]], "gnr_graph": [[1190, "gnr-graph"]], "random_k_out_graph": [[1191, "random-k-out-graph"]], "scale_free_graph": [[1192, "scale-free-graph"]], "duplication_divergence_graph": [[1193, "duplication-divergence-graph"]], "partial_duplication_graph": [[1194, "partial-duplication-graph"]], "ego_graph": [[1195, "ego-graph"]], "chordal_cycle_graph": [[1196, "chordal-cycle-graph"]], "margulis_gabber_galil_graph": [[1197, "margulis-gabber-galil-graph"]], "paley_graph": [[1198, "paley-graph"]], "geographical_threshold_graph": [[1199, "geographical-threshold-graph"]], "geometric_edges": [[1200, "geometric-edges"]], "navigable_small_world_graph": [[1201, "navigable-small-world-graph"]], "random_geometric_graph": [[1202, "random-geometric-graph"]], "soft_random_geometric_graph": [[1203, "soft-random-geometric-graph"]], "thresholded_random_geometric_graph": [[1204, "thresholded-random-geometric-graph"]], "waxman_graph": [[1205, "waxman-graph"]], "hkn_harary_graph": [[1206, "hkn-harary-graph"]], "hnm_harary_graph": [[1207, "hnm-harary-graph"]], "random_internet_as_graph": [[1208, "random-internet-as-graph"]], "general_random_intersection_graph": [[1209, "general-random-intersection-graph"]], "k_random_intersection_graph": [[1210, "k-random-intersection-graph"]], "uniform_random_intersection_graph": [[1211, "uniform-random-intersection-graph"]], "interval_graph": [[1212, "interval-graph"]], "directed_joint_degree_graph": [[1213, "directed-joint-degree-graph"]], "is_valid_directed_joint_degree": [[1214, "is-valid-directed-joint-degree"]], "is_valid_joint_degree": [[1215, "is-valid-joint-degree"]], "joint_degree_graph": [[1216, "joint-degree-graph"]], "grid_2d_graph": [[1217, "grid-2d-graph"]], "grid_graph": [[1218, "grid-graph"]], "hexagonal_lattice_graph": [[1219, "hexagonal-lattice-graph"]], "hypercube_graph": [[1220, "hypercube-graph"]], "triangular_lattice_graph": [[1221, "triangular-lattice-graph"]], "inverse_line_graph": [[1222, "inverse-line-graph"]], "line_graph": [[1223, "line-graph"]], "mycielski_graph": [[1224, "mycielski-graph"]], "mycielskian": [[1225, "mycielskian"]], "nonisomorphic_trees": [[1226, "nonisomorphic-trees"]], "number_of_nonisomorphic_trees": [[1227, "number-of-nonisomorphic-trees"]], "random_clustered_graph": [[1228, "random-clustered-graph"]], "barabasi_albert_graph": [[1229, "barabasi-albert-graph"]], "binomial_graph": [[1230, "binomial-graph"]], "connected_watts_strogatz_graph": [[1231, "connected-watts-strogatz-graph"]], "dense_gnm_random_graph": [[1232, "dense-gnm-random-graph"]], "dual_barabasi_albert_graph": [[1233, "dual-barabasi-albert-graph"]], "erdos_renyi_graph": [[1234, "erdos-renyi-graph"]], "extended_barabasi_albert_graph": [[1235, "extended-barabasi-albert-graph"]], "fast_gnp_random_graph": [[1236, "fast-gnp-random-graph"]], "gnm_random_graph": [[1237, "gnm-random-graph"]], "gnp_random_graph": [[1238, "gnp-random-graph"]], "newman_watts_strogatz_graph": [[1239, "newman-watts-strogatz-graph"]], "powerlaw_cluster_graph": [[1240, "powerlaw-cluster-graph"]], "random_kernel_graph": [[1241, "random-kernel-graph"]], "random_lobster": [[1242, "random-lobster"]], "random_powerlaw_tree": [[1243, "random-powerlaw-tree"]], "random_powerlaw_tree_sequence": [[1244, "random-powerlaw-tree-sequence"]], "random_regular_graph": [[1245, "random-regular-graph"]], "random_shell_graph": [[1246, "random-shell-graph"]], "watts_strogatz_graph": [[1247, "watts-strogatz-graph"]], "LCF_graph": [[1248, "lcf-graph"]], "bull_graph": [[1249, "bull-graph"]], "chvatal_graph": [[1250, "chvatal-graph"]], "cubical_graph": [[1251, "cubical-graph"]], "desargues_graph": [[1252, "desargues-graph"]], "diamond_graph": [[1253, "diamond-graph"]], "dodecahedral_graph": [[1254, "dodecahedral-graph"]], "frucht_graph": [[1255, "frucht-graph"]], "heawood_graph": [[1256, "heawood-graph"]], "hoffman_singleton_graph": [[1257, "hoffman-singleton-graph"]], "house_graph": [[1258, "house-graph"]], "house_x_graph": [[1259, "house-x-graph"]], "icosahedral_graph": [[1260, "icosahedral-graph"]], "krackhardt_kite_graph": [[1261, "krackhardt-kite-graph"]], "moebius_kantor_graph": [[1262, "moebius-kantor-graph"]], "octahedral_graph": [[1263, "octahedral-graph"]], "pappus_graph": [[1264, "pappus-graph"]], "petersen_graph": [[1265, "petersen-graph"]], "sedgewick_maze_graph": [[1266, "sedgewick-maze-graph"]], "tetrahedral_graph": [[1267, "tetrahedral-graph"]], "truncated_cube_graph": [[1268, "truncated-cube-graph"]], "truncated_tetrahedron_graph": [[1269, "truncated-tetrahedron-graph"]], "tutte_graph": [[1270, "tutte-graph"]], "davis_southern_women_graph": [[1271, "davis-southern-women-graph"]], "florentine_families_graph": [[1272, "florentine-families-graph"]], "karate_club_graph": [[1273, "karate-club-graph"]], "les_miserables_graph": [[1274, "les-miserables-graph"]], "spectral_graph_forge": [[1275, "spectral-graph-forge"]], "stochastic_graph": [[1276, "stochastic-graph"]], "sudoku_graph": [[1277, "sudoku-graph"]], "prefix_tree": [[1278, "prefix-tree"]], "random_tree": [[1279, "random-tree"]], "triad_graph": [[1280, "triad-graph"]], "algebraic_connectivity": [[1281, "algebraic-connectivity"]], "fiedler_vector": [[1282, "fiedler-vector"]], "spectral_ordering": [[1283, "spectral-ordering"]], "attr_matrix": [[1284, "attr-matrix"]], "attr_sparse_matrix": [[1285, "attr-sparse-matrix"]], "bethe_hessian_matrix": [[1286, "bethe-hessian-matrix"]], "adjacency_matrix": [[1287, "adjacency-matrix"]], "incidence_matrix": [[1288, "incidence-matrix"]], "directed_combinatorial_laplacian_matrix": [[1289, "directed-combinatorial-laplacian-matrix"]], "directed_laplacian_matrix": [[1290, "directed-laplacian-matrix"]], "laplacian_matrix": [[1291, "laplacian-matrix"]], "normalized_laplacian_matrix": [[1292, "normalized-laplacian-matrix"]], "directed_modularity_matrix": [[1293, "directed-modularity-matrix"]], "modularity_matrix": [[1294, "modularity-matrix"]], "adjacency_spectrum": [[1295, "adjacency-spectrum"]], "bethe_hessian_spectrum": [[1296, "bethe-hessian-spectrum"]], "laplacian_spectrum": [[1297, "laplacian-spectrum"]], "modularity_spectrum": [[1298, "modularity-spectrum"]], "normalized_laplacian_spectrum": [[1299, "normalized-laplacian-spectrum"]], "convert_node_labels_to_integers": [[1300, "convert-node-labels-to-integers"]], "relabel_nodes": [[1301, "relabel-nodes"]], "networkx.utils.decorators.argmap": [[1302, "networkx-utils-decorators-argmap"]], "nodes_or_number": [[1303, "nodes-or-number"]], "not_implemented_for": [[1304, "not-implemented-for"]], "np_random_state": [[1305, "np-random-state"]], "open_file": [[1306, "open-file"]], "py_random_state": [[1307, "py-random-state"]], "networkx.utils.mapped_queue.MappedQueue": [[1308, "networkx-utils-mapped-queue-mappedqueue"]], "arbitrary_element": [[1309, "arbitrary-element"]], "create_py_random_state": [[1310, "create-py-random-state"]], "create_random_state": [[1311, "create-random-state"]], "dict_to_numpy_array": [[1312, "dict-to-numpy-array"]], "edges_equal": [[1313, "edges-equal"]], "flatten": [[1314, "flatten"]], "graphs_equal": [[1315, "graphs-equal"]], "groups": [[1316, "groups"]], "make_list_of_ints": [[1317, "make-list-of-ints"]], "nodes_equal": [[1318, "nodes-equal"]], "pairwise": [[1319, "pairwise"]], "cumulative_distribution": [[1320, "cumulative-distribution"]], "discrete_sequence": [[1321, "discrete-sequence"]], "powerlaw_sequence": [[1322, "powerlaw-sequence"]], "random_weighted_sample": [[1323, "random-weighted-sample"]], "weighted_choice": [[1324, "weighted-choice"]], "zipf_rv": [[1325, "zipf-rv"]], "cuthill_mckee_ordering": [[1326, "cuthill-mckee-ordering"]], "reverse_cuthill_mckee_ordering": [[1327, "reverse-cuthill-mckee-ordering"]], "UnionFind.union": [[1328, "unionfind-union"]], "Graph generators": [[1329, "graph-generators"]], "Classic": [[1329, "module-networkx.generators.classic"]], "Expanders": [[1329, "module-networkx.generators.expanders"]], "Lattice": [[1329, "module-networkx.generators.lattice"]], "Small": [[1329, "module-networkx.generators.small"]], "Random Graphs": [[1329, "module-networkx.generators.random_graphs"]], "Duplication Divergence": [[1329, "module-networkx.generators.duplication"]], "Random Clustered": [[1329, "module-networkx.generators.random_clustered"]], "Directed": [[1329, "module-networkx.generators.directed"]], "Geometric": [[1329, "module-networkx.generators.geometric"]], "Line Graph": [[1329, "module-networkx.generators.line"]], "Stochastic": [[1329, "module-networkx.generators.stochastic"]], "AS graph": [[1329, "module-networkx.generators.internet_as_graphs"]], "Intersection": [[1329, "module-networkx.generators.intersection"]], "Social Networks": [[1329, "module-networkx.generators.social"]], "Community": [[1329, "module-networkx.generators.community"]], "Trees": [[1329, "module-networkx.generators.trees"]], "Non Isomorphic Trees": [[1329, "module-networkx.generators.nonisomorphic_trees"]], "Joint Degree Sequence": [[1329, "module-networkx.generators.joint_degree_seq"]], "Mycielski": [[1329, "module-networkx.generators.mycielski"]], "Harary Graph": [[1329, "module-networkx.generators.harary_graph"]], "Cographs": [[1329, "module-networkx.generators.cographs"]], "Interval Graph": [[1329, "module-networkx.generators.interval_graph"]], "Sudoku": [[1329, "module-networkx.generators.sudoku"]], "Glossary": [[1330, "glossary"]], "Reference": [[1331, "reference"]], "NetworkX Basics": [[1332, "networkx-basics"]], "Graphs": [[1332, "graphs"]], "Nodes and Edges": [[1332, "nodes-and-edges"]], "Graph Creation": [[1332, "graph-creation"]], "Graph Reporting": [[1332, "graph-reporting"]], "Data Structure": [[1332, "data-structure"]], "Linear algebra": [[1333, "linear-algebra"]], "Graph Matrix": [[1333, "module-networkx.linalg.graphmatrix"]], "Laplacian Matrix": [[1333, "module-networkx.linalg.laplacianmatrix"]], "Bethe Hessian Matrix": [[1333, "module-networkx.linalg.bethehessianmatrix"]], "Algebraic Connectivity": [[1333, "module-networkx.linalg.algebraicconnectivity"]], "Attribute Matrices": [[1333, "module-networkx.linalg.attrmatrix"]], "Modularity Matrices": [[1333, "module-networkx.linalg.modularitymatrix"]], "Spectrum": [[1333, "module-networkx.linalg.spectrum"]], "Randomness": [[1334, "randomness"]], "Adjacency List": [[1335, "module-networkx.readwrite.adjlist"]], "Edge List": [[1336, "module-networkx.readwrite.edgelist"]], "generate_adjlist": [[1337, "generate-adjlist"]], "parse_adjlist": [[1338, "parse-adjlist"]], "read_adjlist": [[1339, "read-adjlist"]], "write_adjlist": [[1340, "write-adjlist"]], "read_weighted_edgelist": [[1344, "read-weighted-edgelist"]], "write_weighted_edgelist": [[1346, "write-weighted-edgelist"]], "generate_gexf": [[1347, "generate-gexf"]], "read_gexf": [[1348, "read-gexf"]], "relabel_gexf_graph": [[1349, "relabel-gexf-graph"]], "write_gexf": [[1350, "write-gexf"]], "generate_gml": [[1351, "generate-gml"]], "literal_destringizer": [[1352, "literal-destringizer"]], "literal_stringizer": [[1353, "literal-stringizer"]], "parse_gml": [[1354, "parse-gml"]], "read_gml": [[1355, "read-gml"]], "write_gml": [[1356, "write-gml"]], "from_graph6_bytes": [[1357, "from-graph6-bytes"]], "read_graph6": [[1358, "read-graph6"]], "to_graph6_bytes": [[1359, "to-graph6-bytes"]], "write_graph6": [[1360, "write-graph6"]], "generate_graphml": [[1361, "generate-graphml"]], "parse_graphml": [[1362, "parse-graphml"]], "read_graphml": [[1363, "read-graphml"]], "write_graphml": [[1364, "write-graphml"]], "adjacency_data": [[1365, "adjacency-data"]], "adjacency_graph": [[1366, "adjacency-graph"]], "cytoscape_data": [[1367, "cytoscape-data"]], "cytoscape_graph": [[1368, "cytoscape-graph"]], "node_link_data": [[1369, "node-link-data"]], "node_link_graph": [[1370, "node-link-graph"]], "tree_data": [[1371, "tree-data"]], "tree_graph": [[1372, "tree-graph"]], "parse_leda": [[1373, "parse-leda"]], "read_leda": [[1374, "read-leda"]], "generate_multiline_adjlist": [[1375, "generate-multiline-adjlist"]], "parse_multiline_adjlist": [[1376, "parse-multiline-adjlist"]], "read_multiline_adjlist": [[1377, "read-multiline-adjlist"]], "write_multiline_adjlist": [[1378, "write-multiline-adjlist"]], "generate_pajek": [[1379, "generate-pajek"]], "parse_pajek": [[1380, "parse-pajek"]], "read_pajek": [[1381, "read-pajek"]], "write_pajek": [[1382, "write-pajek"]], "from_sparse6_bytes": [[1383, "from-sparse6-bytes"]], "read_sparse6": [[1384, "read-sparse6"]], "to_sparse6_bytes": [[1385, "to-sparse6-bytes"]], "write_sparse6": [[1386, "write-sparse6"]], "generate_network_text": [[1387, "generate-network-text"]], "write_network_text": [[1388, "write-network-text"]], "GEXF": [[1389, "module-networkx.readwrite.gexf"]], "GML": [[1390, "module-networkx.readwrite.gml"]], "GraphML": [[1391, "module-networkx.readwrite.graphml"]], "Reading and writing graphs": [[1392, "reading-and-writing-graphs"]], "JSON": [[1393, "module-networkx.readwrite.json_graph"]], "LEDA": [[1394, "module-networkx.readwrite.leda"]], "Matrix Market": [[1395, "matrix-market"]], "Multiline Adjacency List": [[1396, "module-networkx.readwrite.multiline_adjlist"]], "Pajek": [[1397, "module-networkx.readwrite.pajek"]], "SparseGraph6": [[1398, "sparsegraph6"]], "Graph6": [[1398, "module-networkx.readwrite.graph6"]], "Sparse6": [[1398, "module-networkx.readwrite.sparse6"]], "Network Text": [[1399, "module-networkx.readwrite.text"]], "Relabeling nodes": [[1400, "relabeling-nodes"]], "Relabeling": [[1400, "module-networkx.relabel"]], "Utilities": [[1401, "module-networkx.utils"]], "Helper Functions": [[1401, "module-networkx.utils.misc"]], "Data Structures and Algorithms": [[1401, "module-networkx.utils.union_find"]], "Random Sequence Generators": [[1401, "module-networkx.utils.random_sequence"]], "Decorators": [[1401, "module-networkx.utils.decorators"]], "Cuthill-Mckee Ordering": [[1401, "module-networkx.utils.rcm"]], "Mapped Queue": [[1401, "module-networkx.utils.mapped_queue"]], "NetworkX 0.99": [[1402, "networkx-0-99"], [1415, "networkx-0-99"]], "New features": [[1402, "new-features"], [1403, "new-features"], [1406, "new-features"], [1407, "new-features"], [1415, "new-features"], [1415, "id18"], [1415, "id21"], [1415, "id24"], [1415, "id25"], [1415, "id28"], [1415, "id30"], [1415, "id33"], [1415, "id36"], [1415, "id38"], [1415, "id40"], [1415, "id42"], [1415, "id45"], [1415, "id48"], [1415, "id51"], [1415, "id54"], [1415, "id56"], [1415, "id59"], [1415, "id62"], [1415, "id65"], [1415, "id69"], [1415, "id73"]], "Bug fixes": [[1402, "bug-fixes"], [1407, "bug-fixes"], [1410, "bug-fixes"], [1415, "bug-fixes"], [1415, "id17"], [1415, "id20"], [1415, "id23"], [1415, "id27"], [1415, "id31"], [1415, "id34"], [1415, "id37"], [1415, "id39"], [1415, "id41"], [1415, "id43"], [1415, "id46"], [1415, "id49"], [1415, "id52"], [1415, "id55"], [1415, "id58"], [1415, "id61"], [1415, "id64"], [1415, "id67"], [1415, "id68"], [1415, "id72"], [1415, "id76"]], "Changes in base classes": [[1402, "changes-in-base-classes"], [1403, "changes-in-base-classes"]], "Methods changed": [[1402, "methods-changed"], [1403, "methods-changed"]], "edges()": [[1402, "edges"]], "delete_node()": [[1402, "delete-node"], [1403, "delete-node"]], "delete_nodes_from()": [[1402, "delete-nodes-from"], [1403, "delete-nodes-from"]], "delete_edge()": [[1402, "delete-edge"], [1403, "delete-edge"]], "delete_edges_from()": [[1402, "delete-edges-from"], [1403, "delete-edges-from"]], "add_edge()": [[1402, "add-edge"], [1403, "add-edge"]], "add_edges_from()": [[1402, "add-edges-from"], [1403, "add-edges-from"]], "has_edge()": [[1402, "has-edge"]], "get_edge()": [[1402, "get-edge"], [1403, "get-edge"]], "degree_iter()": [[1402, "degree-iter"]], "subgraph()": [[1402, "subgraph"], [1403, "subgraph"]], "__getitem__()": [[1402, "getitem"]], "Methods removed": [[1402, "methods-removed"], [1403, "methods-removed"]], "info()": [[1402, "info"]], "node_boundary()": [[1402, "node-boundary"]], "edge_boundary()": [[1402, "edge-boundary"]], "is_directed()": [[1402, "is-directed"], [1403, "is-directed"]], "G.out_edges()": [[1402, "g-out-edges"]], "G.in_edges()": [[1402, "g-in-edges"]], "Methods added": [[1402, "methods-added"], [1403, "methods-added"]], "adjacency_list()": [[1402, "adjacency-list"]], "adjacency_iter()": [[1402, "adjacency-iter"]], "Other possible incompatibilities with existing code": [[1402, "other-possible-incompatibilities-with-existing-code"]], "Imports": [[1402, "imports"]], "Copy": [[1402, "copy"]], "prepare_nbunch": [[1402, "prepare-nbunch"]], "Converting your old code to Version 0.99": [[1402, "converting-your-old-code-to-version-0-99"]], "NetworkX 1.0": [[1403, "networkx-1-0"], [1415, "networkx-1-0"]], "Version numbering": [[1403, "version-numbering"]], "Graph attributes": [[1403, "graph-attributes"], [1436, "graph-attributes"]], "Node attributes": [[1403, "node-attributes"], [1436, "node-attributes"]], "Edge attributes": [[1403, "edge-attributes"]], "Graph(), DiGraph(), MultiGraph(), MultiDiGraph()": [[1403, "graph-digraph-multigraph-multidigraph"]], "add_node()": [[1403, "add-node"]], "add_nodes_from()": [[1403, "add-nodes-from"]], "nodes() and nodes_iter()": [[1403, "nodes-and-nodes-iter"]], "copy()": [[1403, "copy"]], "to_directed(), to_undirected()": [[1403, "to-directed-to-undirected"]], "add_cycle(), add_path(), add_star()": [[1403, "add-cycle-add-path-add-star"]], "Members removed": [[1403, "members-removed"]], "directed, multigraph, weighted": [[1403, "directed-multigraph-weighted"]], "add_weighted edges_from()": [[1403, "add-weighted-edges-from"]], "get_edge_data()": [[1403, "get-edge-data"]], "is_multigraph()": [[1403, "is-multigraph"]], "Classes Removed": [[1403, "classes-removed"]], "LabeledGraph, LabeledDiGraph": [[1403, "labeledgraph-labeleddigraph"]], "UbiGraph": [[1403, "ubigraph"]], "Additional functions/generators": [[1403, "additional-functions-generators"]], "Converting your existing code to networkx-1.0": [[1403, "converting-your-existing-code-to-networkx-1-0"]], "Weighted edges": [[1403, "weighted-edges"]], "NetworkX 1.10": [[1404, "networkx-1-10"], [1415, "networkx-1-10"]], "Highlights": [[1404, "highlights"], [1405, "highlights"], [1407, "highlights"], [1408, "highlights"], [1409, "highlights"], [1410, "highlights"], [1411, "highlights"], [1415, "highlights"], [1415, "id6"], [1415, "id7"], [1415, "id9"], [1415, "id11"], [1415, "id13"], [1415, "id15"], [1416, "highlights"], [1417, "highlights"], [1418, "highlights"], [1419, "highlights"], [1420, "highlights"], [1421, "highlights"], [1422, "highlights"], [1423, "highlights"], [1425, "highlights"], [1426, "highlights"], [1427, "highlights"], [1428, "highlights"], [1429, "highlights"], [1430, "highlights"], [1431, "highlights"], [1432, "highlights"], [1433, "highlights"], [1434, "highlights"], [1435, "highlights"]], "API changes": [[1404, "api-changes"], [1405, "api-changes"], [1406, "api-changes"], [1410, "api-changes"], [1415, "api-changes"], [1415, "id8"], [1415, "id10"], [1415, "id12"], [1415, "id14"], [1415, "id16"], [1415, "id19"], [1415, "id22"], [1415, "id26"]], "New functionalities": [[1404, "new-functionalities"]], "Removed functionalities": [[1404, "removed-functionalities"]], "Miscellaneous changes": [[1404, "miscellaneous-changes"], [1405, "miscellaneous-changes"], [1411, "miscellaneous-changes"]], "NetworkX 1.11": [[1405, "networkx-1-11"], [1415, "networkx-1-11"]], "NetworkX 1.4": [[1406, "networkx-1-4"], [1415, "networkx-1-4"]], "Algorithms changed": [[1406, "algorithms-changed"]], "Shortest path": [[1406, "shortest-path"]], "astar_path(), astar_path_length(), shortest_path(), shortest_path_length(),": [[1406, "astar-path-astar-path-length-shortest-path-shortest-path-length"]], "bidirectional_shortest_path(), dijkstra_path(), dijkstra_path_length(),": [[1406, "bidirectional-shortest-path-dijkstra-path-dijkstra-path-length"]], "bidirectional_dijkstra()": [[1406, "bidirectional-dijkstra"]], "NetworkX 1.5": [[1407, "networkx-1-5"], [1415, "networkx-1-5"]], "Weighted graph algorithms": [[1407, "weighted-graph-algorithms"], [1408, "weighted-graph-algorithms"]], "Random geometric graph": [[1407, "random-geometric-graph"]], "NetworkX 1.6": [[1408, "networkx-1-6"], [1415, "networkx-1-6"]], "Graph Classes": [[1408, "graph-classes"]], "Isomorphisms": [[1408, "isomorphisms"]], "Other": [[1408, "other"], [1409, "other"]], "NetworkX 1.7": [[1409, "networkx-1-7"], [1415, "networkx-1-7"]], "NetworkX 1.8": [[1410, "networkx-1-8"], [1415, "networkx-1-8"]], "NetworkX 1.9": [[1411, "networkx-1-9"], [1415, "networkx-1-9"]], "Flow package": [[1411, "flow-package"]], "Main changes": [[1411, "main-changes"]], "Connectivity package": [[1411, "connectivity-package"]], "Other new functionalities": [[1411, "other-new-functionalities"]], "Releases": [[1412, "releases"]], "Migration guide from 1.X to 2.0": [[1413, "migration-guide-from-1-x-to-2-0"]], "Writing code that works for both versions": [[1413, "writing-code-that-works-for-both-versions"]], "Using Pickle with v1 and v2": [[1413, "using-pickle-with-v1-and-v2"]], "Migration guide from 2.X to 3.0": [[1414, "migration-guide-from-2-x-to-3-0"]], "Default dependencies": [[1414, "default-dependencies"]], "Improved integration with scientific Python": [[1414, "improved-integration-with-scientific-python"]], "Replacing NumPy/SciPy matrices with arrays": [[1414, "replacing-numpy-scipy-matrices-with-arrays"]], "Switch to NumPy/SciPy implementations by default for some algorithms": [[1414, "switch-to-numpy-scipy-implementations-by-default-for-some-algorithms"]], "Supporting numpy.random.Generator": [[1414, "supporting-numpy-random-generator"]], "NumPy structured dtypes for multi-attribute adjacency matrices": [[1414, "numpy-structured-dtypes-for-multi-attribute-adjacency-matrices"]], "Deprecated code": [[1414, "deprecated-code"]], "Old Release Log": [[1415, "old-release-log"]], "NetworkX 2.5": [[1415, "networkx-2-5"], [1421, "networkx-2-5"]], "Release notes": [[1415, "release-notes"], [1415, "id1"], [1415, "id2"], [1415, "id3"], [1415, "id4"], [1415, "id5"]], "NetworkX 2.4": [[1415, "networkx-2-4"], [1420, "networkx-2-4"]], "NetworkX 2.3": [[1415, "networkx-2-3"], [1419, "networkx-2-3"]], "NetworkX 2.2": [[1415, "networkx-2-2"], [1418, "networkx-2-2"]], "NetworkX 2.1": [[1415, "networkx-2-1"], [1417, "networkx-2-1"]], "NetworkX 2.0": [[1415, "networkx-2-0"], [1416, "networkx-2-0"]], "NetworkX 1.9.1": [[1415, "networkx-1-9-1"]], "NetworkX 1.8.1": [[1415, "networkx-1-8-1"]], "NetworkX 1.3": [[1415, "networkx-1-3"]], "NetworkX 1.2": [[1415, "networkx-1-2"]], "NetworkX 1.1": [[1415, "networkx-1-1"]], "Returning dictionaries": [[1415, "returning-dictionaries"]], "Adding nodes": [[1415, "adding-nodes"]], "NetworkX 1.0.1": [[1415, "networkx-1-0-1"]], "NetworkX 0.37": [[1415, "networkx-0-37"]], "NetworkX 0.36": [[1415, "networkx-0-36"]], "NetworkX 0.35.1": [[1415, "networkx-0-35-1"]], "NetworkX 0.35": [[1415, "networkx-0-35"]], "NetworkX 0.34": [[1415, "networkx-0-34"]], "NetworkX 0.33": [[1415, "networkx-0-33"]], "NetworkX 0.32": [[1415, "networkx-0-32"]], "NetworkX 0.31": [[1415, "networkx-0-31"]], "NetworkX 0.30": [[1415, "networkx-0-30"]], "NetworkX 0.29": [[1415, "networkx-0-29"]], "NetworkX 0.28": [[1415, "networkx-0-28"]], "NetworkX 0.27": [[1415, "networkx-0-27"]], "NetworkX 0.26": [[1415, "networkx-0-26"]], "NetworkX 0.25": [[1415, "networkx-0-25"]], "NetworkX 0.24": [[1415, "networkx-0-24"]], "NetworkX 0.23": [[1415, "networkx-0-23"]], "Important Change": [[1415, "important-change"]], "NetworkX 0.22": [[1415, "networkx-0-22"]], "API Changes": [[1416, "api-changes"], [1417, "api-changes"], [1418, "api-changes"], [1419, "api-changes"], [1420, "api-changes"], [1421, "api-changes"], [1422, "api-changes"], [1423, "api-changes"], [1425, "api-changes"], [1434, "api-changes"], [1435, "api-changes"]], "Merged PRs": [[1416, "merged-prs"], [1417, "merged-prs"], [1420, "merged-prs"], [1421, "merged-prs"], [1422, "merged-prs"], [1423, "merged-prs"], [1424, "merged-prs"], [1425, "merged-prs"], [1426, "merged-prs"], [1427, "merged-prs"], [1428, "merged-prs"], [1429, "merged-prs"], [1430, "merged-prs"], [1431, "merged-prs"], [1432, "merged-prs"], [1433, "merged-prs"], [1434, "merged-prs"], [1435, "merged-prs"]], "Improvements": [[1417, "improvements"], [1418, "improvements"], [1419, "improvements"], [1420, "improvements"], [1421, "improvements"], [1422, "improvements"], [1423, "improvements"], [1425, "improvements"], [1426, "improvements"], [1431, "improvements"], [1432, "improvements"], [1434, "improvements"], [1435, "improvements"]], "NetworkX 2.6": [[1422, "networkx-2-6"]], "NetworkX 2.7": [[1423, "networkx-2-7"]], "GSoC PRs": [[1423, "gsoc-prs"]], "NetworkX 2.7.1": [[1424, "networkx-2-7-1"]], "NetworkX 2.8": [[1425, "networkx-2-8"]], "NetworkX 2.8.1": [[1426, "networkx-2-8-1"]], "NetworkX 2.8.2": [[1427, "networkx-2-8-2"]], "NetworkX 2.8.3": [[1428, "networkx-2-8-3"]], "NetworkX 2.8.4": [[1429, "networkx-2-8-4"]], "NetworkX 2.8.5": [[1430, "networkx-2-8-5"]], "NetworkX 2.8.6": [[1431, "networkx-2-8-6"]], "NetworkX 2.8.7": [[1432, "networkx-2-8-7"]], "NetworkX 2.8.8": [[1433, "networkx-2-8-8"]], "NetworkX 3.0": [[1434, "networkx-3-0"]], "3.1 (unreleased)": [[1435, "unreleased"]], "Tutorial": [[1436, "tutorial"]], "Creating a graph": [[1436, "creating-a-graph"]], "Examining elements of a graph": [[1436, "examining-elements-of-a-graph"]], "Removing elements from a graph": [[1436, "removing-elements-from-a-graph"]], "Using the graph constructors": [[1436, "using-the-graph-constructors"]], "What to use as nodes and edges": [[1436, "what-to-use-as-nodes-and-edges"]], "Accessing edges and neighbors": [[1436, "accessing-edges-and-neighbors"]], "Adding attributes to graphs, nodes, and edges": [[1436, "adding-attributes-to-graphs-nodes-and-edges"]], "Edge Attributes": [[1436, "edge-attributes"]], "Directed graphs": [[1436, "directed-graphs"]], "Multigraphs": [[1436, "multigraphs"]], "Graph generators and graph operations": [[1436, "graph-generators-and-graph-operations"]], "1. Applying classic graph operations, such as:": [[1436, "applying-classic-graph-operations-such-as"]], "2. Using a call to one of the classic small graphs, e.g.,": [[1436, "using-a-call-to-one-of-the-classic-small-graphs-e-g"]], "3. Using a (constructive) generator for a classic graph, e.g.,": [[1436, "using-a-constructive-generator-for-a-classic-graph-e-g"]], "4. Using a stochastic graph generator, e.g,": [[1436, "using-a-stochastic-graph-generator-e-g"]], "5. Reading a graph stored in a file using common graph formats": [[1436, "reading-a-graph-stored-in-a-file-using-common-graph-formats"]], "Analyzing graphs": [[1436, "analyzing-graphs"]], "Drawing graphs": [[1436, "drawing-graphs"]], "NX-Guides": [[1436, "nx-guides"]]}, "indexentries": {"module": [[113, "module-networkx.algorithms.approximation"], [113, "module-networkx.algorithms.approximation.clique"], [113, "module-networkx.algorithms.approximation.clustering_coefficient"], [113, "module-networkx.algorithms.approximation.connectivity"], [113, "module-networkx.algorithms.approximation.distance_measures"], [113, "module-networkx.algorithms.approximation.dominating_set"], [113, "module-networkx.algorithms.approximation.kcomponents"], [113, "module-networkx.algorithms.approximation.matching"], [113, "module-networkx.algorithms.approximation.maxcut"], [113, "module-networkx.algorithms.approximation.ramsey"], [113, "module-networkx.algorithms.approximation.steinertree"], [113, "module-networkx.algorithms.approximation.traveling_salesman"], [113, "module-networkx.algorithms.approximation.treewidth"], [113, "module-networkx.algorithms.approximation.vertex_cover"], [114, "module-networkx.algorithms.assortativity"], [115, "module-networkx.algorithms.asteroidal"], [116, "module-networkx.algorithms.bipartite"], [116, "module-networkx.algorithms.bipartite.basic"], [116, "module-networkx.algorithms.bipartite.centrality"], [116, "module-networkx.algorithms.bipartite.cluster"], [116, "module-networkx.algorithms.bipartite.covering"], [116, "module-networkx.algorithms.bipartite.edgelist"], [116, "module-networkx.algorithms.bipartite.generators"], [116, "module-networkx.algorithms.bipartite.matching"], [116, "module-networkx.algorithms.bipartite.matrix"], [116, "module-networkx.algorithms.bipartite.projection"], [116, "module-networkx.algorithms.bipartite.redundancy"], [116, "module-networkx.algorithms.bipartite.spectral"], [117, "module-networkx.algorithms.boundary"], [118, "module-networkx.algorithms.bridges"], [119, "module-networkx.algorithms.centrality"], [120, "module-networkx.algorithms.chains"], [121, "module-networkx.algorithms.chordal"], [122, "module-networkx.algorithms.clique"], [123, "module-networkx.algorithms.cluster"], [124, "module-networkx.algorithms.coloring"], [125, "module-networkx.algorithms.communicability_alg"], [126, "module-networkx.algorithms.community"], [126, "module-networkx.algorithms.community.asyn_fluid"], [126, "module-networkx.algorithms.community.centrality"], [126, "module-networkx.algorithms.community.community_utils"], [126, "module-networkx.algorithms.community.kclique"], [126, "module-networkx.algorithms.community.kernighan_lin"], [126, "module-networkx.algorithms.community.label_propagation"], [126, "module-networkx.algorithms.community.louvain"], [126, "module-networkx.algorithms.community.lukes"], [126, "module-networkx.algorithms.community.modularity_max"], [126, "module-networkx.algorithms.community.quality"], [127, "module-networkx.algorithms.components"], [128, "module-networkx.algorithms.connectivity"], [128, "module-networkx.algorithms.connectivity.connectivity"], [128, "module-networkx.algorithms.connectivity.cuts"], [128, "module-networkx.algorithms.connectivity.disjoint_paths"], [128, "module-networkx.algorithms.connectivity.edge_augmentation"], [128, "module-networkx.algorithms.connectivity.edge_kcomponents"], [128, "module-networkx.algorithms.connectivity.kcomponents"], [128, "module-networkx.algorithms.connectivity.kcutsets"], [128, "module-networkx.algorithms.connectivity.stoerwagner"], [128, "module-networkx.algorithms.connectivity.utils"], [129, "module-networkx.algorithms.core"], [130, "module-networkx.algorithms.covering"], [131, "module-networkx.algorithms.cuts"], [132, "module-networkx.algorithms.cycles"], [133, "module-networkx.algorithms.d_separation"], [134, "module-networkx.algorithms.dag"], [135, "module-networkx.algorithms.distance_measures"], [136, "module-networkx.algorithms.distance_regular"], [137, "module-networkx.algorithms.dominance"], [138, "module-networkx.algorithms.dominating"], [139, "module-networkx.algorithms.efficiency_measures"], [140, "module-networkx.algorithms.euler"], [141, "module-networkx.algorithms.flow"], [756, "module-networkx.algorithms.graph_hashing"], [757, "module-networkx.algorithms.graphical"], [758, "module-networkx.algorithms.hierarchy"], [759, "module-networkx.algorithms.hybrid"], [761, "module-networkx.algorithms.isolate"], [762, "module-networkx.algorithms.isomorphism"], [762, "module-networkx.algorithms.isomorphism.tree_isomorphism"], [762, "module-networkx.algorithms.isomorphism.vf2pp"], [763, "module-networkx.algorithms.isomorphism.ismags"], [764, "module-networkx.algorithms.isomorphism.isomorphvf2"], [765, "module-networkx.algorithms.link_analysis.hits_alg"], [765, "module-networkx.algorithms.link_analysis.pagerank_alg"], [766, "module-networkx.algorithms.link_prediction"], [767, "module-networkx.algorithms.lowest_common_ancestors"], [768, "module-networkx.algorithms.matching"], [769, "module-networkx.algorithms.minors"], [770, "module-networkx.algorithms.mis"], [771, "module-networkx.algorithms.moral"], [772, "module-networkx.algorithms.node_classification"], [773, "module-networkx.algorithms.non_randomness"], [774, "module-networkx.algorithms.operators.all"], [774, "module-networkx.algorithms.operators.binary"], [774, "module-networkx.algorithms.operators.product"], [774, "module-networkx.algorithms.operators.unary"], [775, "module-networkx.algorithms.planar_drawing"], [776, "module-networkx.algorithms.planarity"], [777, "module-networkx.algorithms.polynomials"], [778, "module-networkx.algorithms.reciprocity"], [779, "module-networkx.algorithms.regular"], [780, "module-networkx.algorithms.richclub"], [781, "module-networkx.algorithms.shortest_paths.astar"], [781, "module-networkx.algorithms.shortest_paths.dense"], [781, "module-networkx.algorithms.shortest_paths.generic"], [781, "module-networkx.algorithms.shortest_paths.unweighted"], [781, "module-networkx.algorithms.shortest_paths.weighted"], [782, "module-networkx.algorithms.similarity"], [783, "module-networkx.algorithms.simple_paths"], [784, "module-networkx.algorithms.smallworld"], [785, "module-networkx.algorithms.smetric"], [786, "module-networkx.algorithms.sparsifiers"], [787, "module-networkx.algorithms.structuralholes"], [788, "module-networkx.algorithms.summarization"], [789, "module-networkx.algorithms.swap"], [790, "module-networkx.algorithms.threshold"], [791, "module-networkx.algorithms.tournament"], [792, "module-networkx.algorithms.traversal.beamsearch"], [792, "module-networkx.algorithms.traversal.breadth_first_search"], [792, "module-networkx.algorithms.traversal.depth_first_search"], [792, "module-networkx.algorithms.traversal.edgebfs"], [792, "module-networkx.algorithms.traversal.edgedfs"], [793, "module-networkx.algorithms.tree.branchings"], [793, "module-networkx.algorithms.tree.coding"], [793, "module-networkx.algorithms.tree.decomposition"], [793, "module-networkx.algorithms.tree.mst"], [793, "module-networkx.algorithms.tree.operations"], [793, "module-networkx.algorithms.tree.recognition"], [794, "module-networkx.algorithms.triads"], [795, "module-networkx.algorithms.vitality"], [796, "module-networkx.algorithms.voronoi"], [797, "module-networkx.algorithms.wiener"], [1041, "module-networkx.classes.backends"], [1041, "module-networkx.classes.coreviews"], [1041, "module-networkx.classes.filters"], [1041, "module-networkx.classes.graphviews"], [1044, "module-networkx.convert"], [1044, "module-networkx.convert_matrix"], [1045, "module-networkx.drawing.layout"], [1045, "module-networkx.drawing.nx_agraph"], [1045, "module-networkx.drawing.nx_latex"], [1045, "module-networkx.drawing.nx_pydot"], [1045, "module-networkx.drawing.nx_pylab"], [1046, "module-networkx.exception"], [1047, "module-networkx.classes.function"], [1329, "module-networkx.generators.atlas"], [1329, "module-networkx.generators.classic"], [1329, "module-networkx.generators.cographs"], [1329, "module-networkx.generators.community"], [1329, "module-networkx.generators.degree_seq"], [1329, "module-networkx.generators.directed"], [1329, "module-networkx.generators.duplication"], [1329, "module-networkx.generators.ego"], [1329, "module-networkx.generators.expanders"], [1329, "module-networkx.generators.geometric"], [1329, "module-networkx.generators.harary_graph"], [1329, "module-networkx.generators.internet_as_graphs"], [1329, "module-networkx.generators.intersection"], [1329, "module-networkx.generators.interval_graph"], [1329, "module-networkx.generators.joint_degree_seq"], [1329, "module-networkx.generators.lattice"], [1329, "module-networkx.generators.line"], [1329, "module-networkx.generators.mycielski"], [1329, "module-networkx.generators.nonisomorphic_trees"], [1329, "module-networkx.generators.random_clustered"], [1329, "module-networkx.generators.random_graphs"], [1329, "module-networkx.generators.small"], [1329, "module-networkx.generators.social"], [1329, "module-networkx.generators.spectral_graph_forge"], [1329, "module-networkx.generators.stochastic"], [1329, "module-networkx.generators.sudoku"], [1329, "module-networkx.generators.trees"], [1329, "module-networkx.generators.triads"], [1333, "module-networkx.linalg.algebraicconnectivity"], [1333, "module-networkx.linalg.attrmatrix"], [1333, "module-networkx.linalg.bethehessianmatrix"], [1333, "module-networkx.linalg.graphmatrix"], [1333, "module-networkx.linalg.laplacianmatrix"], [1333, "module-networkx.linalg.modularitymatrix"], [1333, "module-networkx.linalg.spectrum"], [1335, "module-networkx.readwrite.adjlist"], [1336, "module-networkx.readwrite.edgelist"], [1389, "module-networkx.readwrite.gexf"], [1390, "module-networkx.readwrite.gml"], [1391, "module-networkx.readwrite.graphml"], [1393, "module-networkx.readwrite.json_graph"], [1394, "module-networkx.readwrite.leda"], [1396, "module-networkx.readwrite.multiline_adjlist"], [1397, "module-networkx.readwrite.pajek"], [1398, "module-networkx.readwrite.graph6"], [1398, "module-networkx.readwrite.sparse6"], [1399, "module-networkx.readwrite.text"], [1400, "module-networkx.relabel"], [1401, "module-networkx.utils"], [1401, "module-networkx.utils.decorators"], [1401, "module-networkx.utils.mapped_queue"], [1401, "module-networkx.utils.misc"], [1401, "module-networkx.utils.random_sequence"], [1401, "module-networkx.utils.rcm"], [1401, "module-networkx.utils.union_find"]], "networkx.algorithms.approximation": [[113, "module-networkx.algorithms.approximation"]], "networkx.algorithms.approximation.clique": [[113, "module-networkx.algorithms.approximation.clique"]], "networkx.algorithms.approximation.clustering_coefficient": [[113, "module-networkx.algorithms.approximation.clustering_coefficient"]], "networkx.algorithms.approximation.connectivity": [[113, "module-networkx.algorithms.approximation.connectivity"]], "networkx.algorithms.approximation.distance_measures": [[113, "module-networkx.algorithms.approximation.distance_measures"]], "networkx.algorithms.approximation.dominating_set": [[113, "module-networkx.algorithms.approximation.dominating_set"]], "networkx.algorithms.approximation.kcomponents": [[113, "module-networkx.algorithms.approximation.kcomponents"]], "networkx.algorithms.approximation.matching": [[113, "module-networkx.algorithms.approximation.matching"]], "networkx.algorithms.approximation.maxcut": [[113, "module-networkx.algorithms.approximation.maxcut"]], "networkx.algorithms.approximation.ramsey": [[113, "module-networkx.algorithms.approximation.ramsey"]], "networkx.algorithms.approximation.steinertree": [[113, "module-networkx.algorithms.approximation.steinertree"]], "networkx.algorithms.approximation.traveling_salesman": [[113, "module-networkx.algorithms.approximation.traveling_salesman"]], "networkx.algorithms.approximation.treewidth": [[113, "module-networkx.algorithms.approximation.treewidth"]], "networkx.algorithms.approximation.vertex_cover": [[113, "module-networkx.algorithms.approximation.vertex_cover"]], "networkx.algorithms.assortativity": [[114, "module-networkx.algorithms.assortativity"]], "networkx.algorithms.asteroidal": [[115, "module-networkx.algorithms.asteroidal"]], "networkx.algorithms.bipartite": [[116, "module-networkx.algorithms.bipartite"]], "networkx.algorithms.bipartite.basic": [[116, "module-networkx.algorithms.bipartite.basic"]], "networkx.algorithms.bipartite.centrality": [[116, "module-networkx.algorithms.bipartite.centrality"]], "networkx.algorithms.bipartite.cluster": [[116, "module-networkx.algorithms.bipartite.cluster"]], "networkx.algorithms.bipartite.covering": [[116, "module-networkx.algorithms.bipartite.covering"]], "networkx.algorithms.bipartite.edgelist": [[116, "module-networkx.algorithms.bipartite.edgelist"]], "networkx.algorithms.bipartite.generators": [[116, "module-networkx.algorithms.bipartite.generators"]], "networkx.algorithms.bipartite.matching": [[116, "module-networkx.algorithms.bipartite.matching"]], "networkx.algorithms.bipartite.matrix": [[116, "module-networkx.algorithms.bipartite.matrix"]], "networkx.algorithms.bipartite.projection": [[116, "module-networkx.algorithms.bipartite.projection"]], "networkx.algorithms.bipartite.redundancy": [[116, "module-networkx.algorithms.bipartite.redundancy"]], "networkx.algorithms.bipartite.spectral": [[116, "module-networkx.algorithms.bipartite.spectral"]], "networkx.algorithms.boundary": [[117, "module-networkx.algorithms.boundary"]], "networkx.algorithms.bridges": [[118, "module-networkx.algorithms.bridges"]], "networkx.algorithms.centrality": [[119, "module-networkx.algorithms.centrality"]], "networkx.algorithms.chains": [[120, "module-networkx.algorithms.chains"]], "networkx.algorithms.chordal": [[121, "module-networkx.algorithms.chordal"]], "networkx.algorithms.clique": [[122, "module-networkx.algorithms.clique"]], "networkx.algorithms.cluster": [[123, "module-networkx.algorithms.cluster"]], "networkx.algorithms.coloring": [[124, "module-networkx.algorithms.coloring"]], "networkx.algorithms.communicability_alg": [[125, "module-networkx.algorithms.communicability_alg"]], "networkx.algorithms.community": [[126, "module-networkx.algorithms.community"]], "networkx.algorithms.community.asyn_fluid": [[126, "module-networkx.algorithms.community.asyn_fluid"]], "networkx.algorithms.community.centrality": [[126, "module-networkx.algorithms.community.centrality"]], "networkx.algorithms.community.community_utils": [[126, "module-networkx.algorithms.community.community_utils"]], "networkx.algorithms.community.kclique": [[126, "module-networkx.algorithms.community.kclique"]], "networkx.algorithms.community.kernighan_lin": [[126, "module-networkx.algorithms.community.kernighan_lin"]], "networkx.algorithms.community.label_propagation": [[126, "module-networkx.algorithms.community.label_propagation"]], "networkx.algorithms.community.louvain": [[126, "module-networkx.algorithms.community.louvain"]], "networkx.algorithms.community.lukes": [[126, "module-networkx.algorithms.community.lukes"]], "networkx.algorithms.community.modularity_max": [[126, "module-networkx.algorithms.community.modularity_max"]], "networkx.algorithms.community.quality": [[126, "module-networkx.algorithms.community.quality"]], "networkx.algorithms.components": [[127, "module-networkx.algorithms.components"]], "networkx.algorithms.connectivity": [[128, "module-networkx.algorithms.connectivity"]], "networkx.algorithms.connectivity.connectivity": [[128, "module-networkx.algorithms.connectivity.connectivity"]], "networkx.algorithms.connectivity.cuts": [[128, "module-networkx.algorithms.connectivity.cuts"]], "networkx.algorithms.connectivity.disjoint_paths": [[128, "module-networkx.algorithms.connectivity.disjoint_paths"]], "networkx.algorithms.connectivity.edge_augmentation": [[128, "module-networkx.algorithms.connectivity.edge_augmentation"]], "networkx.algorithms.connectivity.edge_kcomponents": [[128, "module-networkx.algorithms.connectivity.edge_kcomponents"]], "networkx.algorithms.connectivity.kcomponents": [[128, "module-networkx.algorithms.connectivity.kcomponents"]], "networkx.algorithms.connectivity.kcutsets": [[128, "module-networkx.algorithms.connectivity.kcutsets"]], "networkx.algorithms.connectivity.stoerwagner": [[128, "module-networkx.algorithms.connectivity.stoerwagner"]], "networkx.algorithms.connectivity.utils": [[128, "module-networkx.algorithms.connectivity.utils"]], "networkx.algorithms.core": [[129, "module-networkx.algorithms.core"]], "networkx.algorithms.covering": [[130, "module-networkx.algorithms.covering"]], "networkx.algorithms.cuts": [[131, "module-networkx.algorithms.cuts"]], "networkx.algorithms.cycles": [[132, "module-networkx.algorithms.cycles"]], "networkx.algorithms.d_separation": [[133, "module-networkx.algorithms.d_separation"]], "networkx.algorithms.dag": [[134, "module-networkx.algorithms.dag"]], "networkx.algorithms.distance_measures": [[135, "module-networkx.algorithms.distance_measures"]], "networkx.algorithms.distance_regular": [[136, "module-networkx.algorithms.distance_regular"]], "networkx.algorithms.dominance": [[137, "module-networkx.algorithms.dominance"]], "networkx.algorithms.dominating": [[138, "module-networkx.algorithms.dominating"]], "networkx.algorithms.efficiency_measures": [[139, "module-networkx.algorithms.efficiency_measures"]], "networkx.algorithms.euler": [[140, "module-networkx.algorithms.euler"]], "networkx.algorithms.flow": [[141, "module-networkx.algorithms.flow"]], "construct() (edgecomponentauxgraph class method)": [[142, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.construct"]], "k_edge_components() (edgecomponentauxgraph method)": [[143, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_components"]], "k_edge_subgraphs() (edgecomponentauxgraph method)": [[144, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.k_edge_subgraphs"]], "analyze_symmetry() (ismags method)": [[145, "networkx.algorithms.isomorphism.ISMAGS.analyze_symmetry"]], "find_isomorphisms() (ismags method)": [[146, "networkx.algorithms.isomorphism.ISMAGS.find_isomorphisms"]], "is_isomorphic() (ismags method)": [[147, "networkx.algorithms.isomorphism.ISMAGS.is_isomorphic"]], "isomorphisms_iter() (ismags method)": [[148, "networkx.algorithms.isomorphism.ISMAGS.isomorphisms_iter"]], "largest_common_subgraph() (ismags method)": [[149, "networkx.algorithms.isomorphism.ISMAGS.largest_common_subgraph"]], "subgraph_is_isomorphic() (ismags method)": [[150, "networkx.algorithms.isomorphism.ISMAGS.subgraph_is_isomorphic"]], "subgraph_isomorphisms_iter() (ismags method)": [[151, "networkx.algorithms.isomorphism.ISMAGS.subgraph_isomorphisms_iter"]], "add_edge() (planarembedding method)": [[152, "networkx.algorithms.planarity.PlanarEmbedding.add_edge"]], "add_edges_from() (planarembedding method)": [[153, "networkx.algorithms.planarity.PlanarEmbedding.add_edges_from"]], "add_half_edge_ccw() (planarembedding method)": [[154, "networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_ccw"]], "add_half_edge_cw() (planarembedding method)": [[155, "networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_cw"]], "add_half_edge_first() (planarembedding method)": [[156, "networkx.algorithms.planarity.PlanarEmbedding.add_half_edge_first"]], "add_node() (planarembedding method)": [[157, "networkx.algorithms.planarity.PlanarEmbedding.add_node"]], "add_nodes_from() (planarembedding method)": [[158, "networkx.algorithms.planarity.PlanarEmbedding.add_nodes_from"]], "add_weighted_edges_from() (planarembedding method)": [[159, "networkx.algorithms.planarity.PlanarEmbedding.add_weighted_edges_from"]], "adj (planarembedding property)": [[160, "networkx.algorithms.planarity.PlanarEmbedding.adj"]], "adjacency() (planarembedding method)": [[161, "networkx.algorithms.planarity.PlanarEmbedding.adjacency"]], "check_structure() (planarembedding method)": [[162, "networkx.algorithms.planarity.PlanarEmbedding.check_structure"]], "clear() (planarembedding method)": [[163, "networkx.algorithms.planarity.PlanarEmbedding.clear"]], "clear_edges() (planarembedding method)": [[164, "networkx.algorithms.planarity.PlanarEmbedding.clear_edges"]], "connect_components() (planarembedding method)": [[165, "networkx.algorithms.planarity.PlanarEmbedding.connect_components"]], "copy() (planarembedding method)": [[166, "networkx.algorithms.planarity.PlanarEmbedding.copy"]], "degree (planarembedding property)": [[167, "networkx.algorithms.planarity.PlanarEmbedding.degree"]], "edge_subgraph() (planarembedding method)": [[168, "networkx.algorithms.planarity.PlanarEmbedding.edge_subgraph"]], "edges (planarembedding property)": [[169, "networkx.algorithms.planarity.PlanarEmbedding.edges"]], "get_data() (planarembedding method)": [[170, "networkx.algorithms.planarity.PlanarEmbedding.get_data"]], "get_edge_data() (planarembedding method)": [[171, "networkx.algorithms.planarity.PlanarEmbedding.get_edge_data"]], "has_edge() (planarembedding method)": [[172, "networkx.algorithms.planarity.PlanarEmbedding.has_edge"]], "has_node() (planarembedding method)": [[173, "networkx.algorithms.planarity.PlanarEmbedding.has_node"]], "has_predecessor() (planarembedding method)": [[174, "networkx.algorithms.planarity.PlanarEmbedding.has_predecessor"]], "has_successor() (planarembedding method)": [[175, "networkx.algorithms.planarity.PlanarEmbedding.has_successor"]], "in_degree (planarembedding property)": [[176, "networkx.algorithms.planarity.PlanarEmbedding.in_degree"]], "in_edges (planarembedding property)": [[177, "networkx.algorithms.planarity.PlanarEmbedding.in_edges"]], "is_directed() (planarembedding method)": [[178, "networkx.algorithms.planarity.PlanarEmbedding.is_directed"]], "is_multigraph() (planarembedding method)": [[179, "networkx.algorithms.planarity.PlanarEmbedding.is_multigraph"]], "name (planarembedding property)": [[180, "networkx.algorithms.planarity.PlanarEmbedding.name"]], "nbunch_iter() (planarembedding method)": [[181, "networkx.algorithms.planarity.PlanarEmbedding.nbunch_iter"]], "neighbors() (planarembedding method)": [[182, "networkx.algorithms.planarity.PlanarEmbedding.neighbors"]], "neighbors_cw_order() (planarembedding method)": [[183, "networkx.algorithms.planarity.PlanarEmbedding.neighbors_cw_order"]], "next_face_half_edge() (planarembedding method)": [[184, "networkx.algorithms.planarity.PlanarEmbedding.next_face_half_edge"]], "nodes (planarembedding property)": [[185, "networkx.algorithms.planarity.PlanarEmbedding.nodes"]], "number_of_edges() (planarembedding method)": [[186, "networkx.algorithms.planarity.PlanarEmbedding.number_of_edges"]], "number_of_nodes() (planarembedding method)": [[187, "networkx.algorithms.planarity.PlanarEmbedding.number_of_nodes"]], "order() (planarembedding method)": [[188, "networkx.algorithms.planarity.PlanarEmbedding.order"]], "out_degree (planarembedding property)": [[189, "networkx.algorithms.planarity.PlanarEmbedding.out_degree"]], "out_edges (planarembedding property)": [[190, "networkx.algorithms.planarity.PlanarEmbedding.out_edges"]], "pred (planarembedding property)": [[191, "networkx.algorithms.planarity.PlanarEmbedding.pred"]], "predecessors() (planarembedding method)": [[192, "networkx.algorithms.planarity.PlanarEmbedding.predecessors"]], "remove_edge() (planarembedding method)": [[193, "networkx.algorithms.planarity.PlanarEmbedding.remove_edge"]], "remove_edges_from() (planarembedding method)": [[194, "networkx.algorithms.planarity.PlanarEmbedding.remove_edges_from"]], "remove_node() (planarembedding method)": [[195, "networkx.algorithms.planarity.PlanarEmbedding.remove_node"]], "remove_nodes_from() (planarembedding method)": [[196, "networkx.algorithms.planarity.PlanarEmbedding.remove_nodes_from"]], "reverse() (planarembedding method)": [[197, "networkx.algorithms.planarity.PlanarEmbedding.reverse"]], "set_data() (planarembedding method)": [[198, "networkx.algorithms.planarity.PlanarEmbedding.set_data"]], "size() (planarembedding method)": [[199, "networkx.algorithms.planarity.PlanarEmbedding.size"]], "subgraph() (planarembedding method)": [[200, "networkx.algorithms.planarity.PlanarEmbedding.subgraph"]], "succ (planarembedding property)": [[201, "networkx.algorithms.planarity.PlanarEmbedding.succ"]], "successors() (planarembedding method)": [[202, "networkx.algorithms.planarity.PlanarEmbedding.successors"]], "to_directed() (planarembedding method)": [[203, "networkx.algorithms.planarity.PlanarEmbedding.to_directed"]], "to_directed_class() (planarembedding method)": [[204, "networkx.algorithms.planarity.PlanarEmbedding.to_directed_class"]], "to_undirected() (planarembedding method)": [[205, "networkx.algorithms.planarity.PlanarEmbedding.to_undirected"]], "to_undirected_class() (planarembedding method)": [[206, "networkx.algorithms.planarity.PlanarEmbedding.to_undirected_class"]], "traverse_face() (planarembedding method)": [[207, "networkx.algorithms.planarity.PlanarEmbedding.traverse_face"]], "update() (planarembedding method)": [[208, "networkx.algorithms.planarity.PlanarEmbedding.update"]], "find_optimum() (edmonds method)": [[209, "networkx.algorithms.tree.branchings.Edmonds.find_optimum"]], "clique_removal() (in module networkx.algorithms.approximation.clique)": [[210, "networkx.algorithms.approximation.clique.clique_removal"]], "large_clique_size() (in module networkx.algorithms.approximation.clique)": [[211, "networkx.algorithms.approximation.clique.large_clique_size"]], "max_clique() (in module networkx.algorithms.approximation.clique)": [[212, "networkx.algorithms.approximation.clique.max_clique"]], "maximum_independent_set() (in module networkx.algorithms.approximation.clique)": [[213, "networkx.algorithms.approximation.clique.maximum_independent_set"]], "average_clustering() (in module networkx.algorithms.approximation.clustering_coefficient)": [[214, "networkx.algorithms.approximation.clustering_coefficient.average_clustering"]], "all_pairs_node_connectivity() (in module networkx.algorithms.approximation.connectivity)": [[215, "networkx.algorithms.approximation.connectivity.all_pairs_node_connectivity"]], "local_node_connectivity() (in module networkx.algorithms.approximation.connectivity)": [[216, "networkx.algorithms.approximation.connectivity.local_node_connectivity"]], "node_connectivity() (in module networkx.algorithms.approximation.connectivity)": [[217, "networkx.algorithms.approximation.connectivity.node_connectivity"]], "diameter() (in module networkx.algorithms.approximation.distance_measures)": [[218, "networkx.algorithms.approximation.distance_measures.diameter"]], "min_edge_dominating_set() (in module networkx.algorithms.approximation.dominating_set)": [[219, "networkx.algorithms.approximation.dominating_set.min_edge_dominating_set"]], "min_weighted_dominating_set() (in module networkx.algorithms.approximation.dominating_set)": [[220, "networkx.algorithms.approximation.dominating_set.min_weighted_dominating_set"]], "k_components() (in module networkx.algorithms.approximation.kcomponents)": [[221, "networkx.algorithms.approximation.kcomponents.k_components"]], "min_maximal_matching() (in module networkx.algorithms.approximation.matching)": [[222, "networkx.algorithms.approximation.matching.min_maximal_matching"]], "one_exchange() (in module networkx.algorithms.approximation.maxcut)": [[223, "networkx.algorithms.approximation.maxcut.one_exchange"]], "randomized_partitioning() (in module networkx.algorithms.approximation.maxcut)": [[224, "networkx.algorithms.approximation.maxcut.randomized_partitioning"]], "ramsey_r2() (in module networkx.algorithms.approximation.ramsey)": [[225, "networkx.algorithms.approximation.ramsey.ramsey_R2"]], "metric_closure() (in module networkx.algorithms.approximation.steinertree)": [[226, "networkx.algorithms.approximation.steinertree.metric_closure"]], "steiner_tree() (in module networkx.algorithms.approximation.steinertree)": [[227, "networkx.algorithms.approximation.steinertree.steiner_tree"]], "asadpour_atsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[228, "networkx.algorithms.approximation.traveling_salesman.asadpour_atsp"]], "christofides() (in module networkx.algorithms.approximation.traveling_salesman)": [[229, "networkx.algorithms.approximation.traveling_salesman.christofides"]], "greedy_tsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[230, "networkx.algorithms.approximation.traveling_salesman.greedy_tsp"]], "simulated_annealing_tsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[231, "networkx.algorithms.approximation.traveling_salesman.simulated_annealing_tsp"]], "threshold_accepting_tsp() (in module networkx.algorithms.approximation.traveling_salesman)": [[232, "networkx.algorithms.approximation.traveling_salesman.threshold_accepting_tsp"]], "traveling_salesman_problem() (in module networkx.algorithms.approximation.traveling_salesman)": [[233, "networkx.algorithms.approximation.traveling_salesman.traveling_salesman_problem"]], "treewidth_min_degree() (in module networkx.algorithms.approximation.treewidth)": [[234, "networkx.algorithms.approximation.treewidth.treewidth_min_degree"]], "treewidth_min_fill_in() (in module networkx.algorithms.approximation.treewidth)": [[235, "networkx.algorithms.approximation.treewidth.treewidth_min_fill_in"]], "min_weighted_vertex_cover() (in module networkx.algorithms.approximation.vertex_cover)": [[236, "networkx.algorithms.approximation.vertex_cover.min_weighted_vertex_cover"]], "attribute_assortativity_coefficient() (in module networkx.algorithms.assortativity)": [[237, "networkx.algorithms.assortativity.attribute_assortativity_coefficient"]], "attribute_mixing_dict() (in module networkx.algorithms.assortativity)": [[238, "networkx.algorithms.assortativity.attribute_mixing_dict"]], "attribute_mixing_matrix() (in module networkx.algorithms.assortativity)": [[239, "networkx.algorithms.assortativity.attribute_mixing_matrix"]], "average_degree_connectivity() (in module networkx.algorithms.assortativity)": [[240, "networkx.algorithms.assortativity.average_degree_connectivity"]], "average_neighbor_degree() (in module networkx.algorithms.assortativity)": [[241, "networkx.algorithms.assortativity.average_neighbor_degree"]], "degree_assortativity_coefficient() (in module networkx.algorithms.assortativity)": [[242, "networkx.algorithms.assortativity.degree_assortativity_coefficient"]], "degree_mixing_dict() (in module networkx.algorithms.assortativity)": [[243, "networkx.algorithms.assortativity.degree_mixing_dict"]], "degree_mixing_matrix() (in module networkx.algorithms.assortativity)": [[244, "networkx.algorithms.assortativity.degree_mixing_matrix"]], "degree_pearson_correlation_coefficient() (in module networkx.algorithms.assortativity)": [[245, "networkx.algorithms.assortativity.degree_pearson_correlation_coefficient"]], "mixing_dict() (in module networkx.algorithms.assortativity)": [[246, "networkx.algorithms.assortativity.mixing_dict"]], "node_attribute_xy() (in module networkx.algorithms.assortativity)": [[247, "networkx.algorithms.assortativity.node_attribute_xy"]], "node_degree_xy() (in module networkx.algorithms.assortativity)": [[248, "networkx.algorithms.assortativity.node_degree_xy"]], "numeric_assortativity_coefficient() (in module networkx.algorithms.assortativity)": [[249, "networkx.algorithms.assortativity.numeric_assortativity_coefficient"]], "find_asteroidal_triple() (in module networkx.algorithms.asteroidal)": [[250, "networkx.algorithms.asteroidal.find_asteroidal_triple"]], "is_at_free() (in module networkx.algorithms.asteroidal)": [[251, "networkx.algorithms.asteroidal.is_at_free"]], "color() (in module networkx.algorithms.bipartite.basic)": [[252, "networkx.algorithms.bipartite.basic.color"]], "degrees() (in module networkx.algorithms.bipartite.basic)": [[253, "networkx.algorithms.bipartite.basic.degrees"]], "density() (in module networkx.algorithms.bipartite.basic)": [[254, "networkx.algorithms.bipartite.basic.density"]], "is_bipartite() (in module networkx.algorithms.bipartite.basic)": [[255, "networkx.algorithms.bipartite.basic.is_bipartite"]], "is_bipartite_node_set() (in module networkx.algorithms.bipartite.basic)": [[256, "networkx.algorithms.bipartite.basic.is_bipartite_node_set"]], "sets() (in module networkx.algorithms.bipartite.basic)": [[257, "networkx.algorithms.bipartite.basic.sets"]], "betweenness_centrality() (in module networkx.algorithms.bipartite.centrality)": [[258, "networkx.algorithms.bipartite.centrality.betweenness_centrality"]], "closeness_centrality() (in module networkx.algorithms.bipartite.centrality)": [[259, "networkx.algorithms.bipartite.centrality.closeness_centrality"]], "degree_centrality() (in module networkx.algorithms.bipartite.centrality)": [[260, "networkx.algorithms.bipartite.centrality.degree_centrality"]], "average_clustering() (in module networkx.algorithms.bipartite.cluster)": [[261, "networkx.algorithms.bipartite.cluster.average_clustering"]], "clustering() (in module networkx.algorithms.bipartite.cluster)": [[262, "networkx.algorithms.bipartite.cluster.clustering"]], "latapy_clustering() (in module networkx.algorithms.bipartite.cluster)": [[263, "networkx.algorithms.bipartite.cluster.latapy_clustering"]], "robins_alexander_clustering() (in module networkx.algorithms.bipartite.cluster)": [[264, "networkx.algorithms.bipartite.cluster.robins_alexander_clustering"]], "min_edge_cover() (in module networkx.algorithms.bipartite.covering)": [[265, "networkx.algorithms.bipartite.covering.min_edge_cover"]], "generate_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[266, "networkx.algorithms.bipartite.edgelist.generate_edgelist"]], "parse_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[267, "networkx.algorithms.bipartite.edgelist.parse_edgelist"]], "read_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[268, "networkx.algorithms.bipartite.edgelist.read_edgelist"]], "write_edgelist() (in module networkx.algorithms.bipartite.edgelist)": [[269, "networkx.algorithms.bipartite.edgelist.write_edgelist"]], "alternating_havel_hakimi_graph() (in module networkx.algorithms.bipartite.generators)": [[270, "networkx.algorithms.bipartite.generators.alternating_havel_hakimi_graph"]], "complete_bipartite_graph() (in module networkx.algorithms.bipartite.generators)": [[271, "networkx.algorithms.bipartite.generators.complete_bipartite_graph"]], "configuration_model() (in module networkx.algorithms.bipartite.generators)": [[272, "networkx.algorithms.bipartite.generators.configuration_model"]], "gnmk_random_graph() (in module networkx.algorithms.bipartite.generators)": [[273, "networkx.algorithms.bipartite.generators.gnmk_random_graph"]], "havel_hakimi_graph() (in module networkx.algorithms.bipartite.generators)": [[274, "networkx.algorithms.bipartite.generators.havel_hakimi_graph"]], "preferential_attachment_graph() (in module networkx.algorithms.bipartite.generators)": [[275, "networkx.algorithms.bipartite.generators.preferential_attachment_graph"]], "random_graph() (in module networkx.algorithms.bipartite.generators)": [[276, "networkx.algorithms.bipartite.generators.random_graph"]], "reverse_havel_hakimi_graph() (in module networkx.algorithms.bipartite.generators)": [[277, "networkx.algorithms.bipartite.generators.reverse_havel_hakimi_graph"]], "eppstein_matching() (in module networkx.algorithms.bipartite.matching)": [[278, "networkx.algorithms.bipartite.matching.eppstein_matching"]], "hopcroft_karp_matching() (in module networkx.algorithms.bipartite.matching)": [[279, "networkx.algorithms.bipartite.matching.hopcroft_karp_matching"]], "maximum_matching() (in module networkx.algorithms.bipartite.matching)": [[280, "networkx.algorithms.bipartite.matching.maximum_matching"]], "minimum_weight_full_matching() (in module networkx.algorithms.bipartite.matching)": [[281, "networkx.algorithms.bipartite.matching.minimum_weight_full_matching"]], "to_vertex_cover() (in module networkx.algorithms.bipartite.matching)": [[282, "networkx.algorithms.bipartite.matching.to_vertex_cover"]], "biadjacency_matrix() (in module networkx.algorithms.bipartite.matrix)": [[283, "networkx.algorithms.bipartite.matrix.biadjacency_matrix"]], "from_biadjacency_matrix() (in module networkx.algorithms.bipartite.matrix)": [[284, "networkx.algorithms.bipartite.matrix.from_biadjacency_matrix"]], "collaboration_weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[285, "networkx.algorithms.bipartite.projection.collaboration_weighted_projected_graph"]], "generic_weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[286, "networkx.algorithms.bipartite.projection.generic_weighted_projected_graph"]], "overlap_weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[287, "networkx.algorithms.bipartite.projection.overlap_weighted_projected_graph"]], "projected_graph() (in module networkx.algorithms.bipartite.projection)": [[288, "networkx.algorithms.bipartite.projection.projected_graph"]], "weighted_projected_graph() (in module networkx.algorithms.bipartite.projection)": [[289, "networkx.algorithms.bipartite.projection.weighted_projected_graph"]], "node_redundancy() (in module networkx.algorithms.bipartite.redundancy)": [[290, "networkx.algorithms.bipartite.redundancy.node_redundancy"]], "spectral_bipartivity() (in module networkx.algorithms.bipartite.spectral)": [[291, "networkx.algorithms.bipartite.spectral.spectral_bipartivity"]], "edge_boundary() (in module networkx.algorithms.boundary)": [[292, "networkx.algorithms.boundary.edge_boundary"]], "node_boundary() (in module networkx.algorithms.boundary)": [[293, "networkx.algorithms.boundary.node_boundary"]], "bridges() (in module networkx.algorithms.bridges)": [[294, "networkx.algorithms.bridges.bridges"]], "has_bridges() (in module networkx.algorithms.bridges)": [[295, "networkx.algorithms.bridges.has_bridges"]], "local_bridges() (in module networkx.algorithms.bridges)": [[296, "networkx.algorithms.bridges.local_bridges"]], "approximate_current_flow_betweenness_centrality() (in module networkx.algorithms.centrality)": [[297, "networkx.algorithms.centrality.approximate_current_flow_betweenness_centrality"]], "betweenness_centrality() (in module networkx.algorithms.centrality)": [[298, "networkx.algorithms.centrality.betweenness_centrality"]], "betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[299, "networkx.algorithms.centrality.betweenness_centrality_subset"]], "closeness_centrality() (in module networkx.algorithms.centrality)": [[300, "networkx.algorithms.centrality.closeness_centrality"]], "communicability_betweenness_centrality() (in module networkx.algorithms.centrality)": [[301, "networkx.algorithms.centrality.communicability_betweenness_centrality"]], "current_flow_betweenness_centrality() (in module networkx.algorithms.centrality)": [[302, "networkx.algorithms.centrality.current_flow_betweenness_centrality"]], "current_flow_betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[303, "networkx.algorithms.centrality.current_flow_betweenness_centrality_subset"]], "current_flow_closeness_centrality() (in module networkx.algorithms.centrality)": [[304, "networkx.algorithms.centrality.current_flow_closeness_centrality"]], "degree_centrality() (in module networkx.algorithms.centrality)": [[305, "networkx.algorithms.centrality.degree_centrality"]], "dispersion() (in module networkx.algorithms.centrality)": [[306, "networkx.algorithms.centrality.dispersion"]], "edge_betweenness_centrality() (in module networkx.algorithms.centrality)": [[307, "networkx.algorithms.centrality.edge_betweenness_centrality"]], "edge_betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[308, "networkx.algorithms.centrality.edge_betweenness_centrality_subset"]], "edge_current_flow_betweenness_centrality() (in module networkx.algorithms.centrality)": [[309, "networkx.algorithms.centrality.edge_current_flow_betweenness_centrality"]], "edge_current_flow_betweenness_centrality_subset() (in module networkx.algorithms.centrality)": [[310, "networkx.algorithms.centrality.edge_current_flow_betweenness_centrality_subset"]], "edge_load_centrality() (in module networkx.algorithms.centrality)": [[311, "networkx.algorithms.centrality.edge_load_centrality"]], "eigenvector_centrality() (in module networkx.algorithms.centrality)": [[312, "networkx.algorithms.centrality.eigenvector_centrality"]], "eigenvector_centrality_numpy() (in module networkx.algorithms.centrality)": [[313, "networkx.algorithms.centrality.eigenvector_centrality_numpy"]], "estrada_index() (in module networkx.algorithms.centrality)": [[314, "networkx.algorithms.centrality.estrada_index"]], "global_reaching_centrality() (in module networkx.algorithms.centrality)": [[315, "networkx.algorithms.centrality.global_reaching_centrality"]], "group_betweenness_centrality() (in module networkx.algorithms.centrality)": [[316, "networkx.algorithms.centrality.group_betweenness_centrality"]], "group_closeness_centrality() (in module networkx.algorithms.centrality)": [[317, "networkx.algorithms.centrality.group_closeness_centrality"]], "group_degree_centrality() (in module networkx.algorithms.centrality)": [[318, "networkx.algorithms.centrality.group_degree_centrality"]], "group_in_degree_centrality() (in module networkx.algorithms.centrality)": [[319, "networkx.algorithms.centrality.group_in_degree_centrality"]], "group_out_degree_centrality() (in module networkx.algorithms.centrality)": [[320, "networkx.algorithms.centrality.group_out_degree_centrality"]], "harmonic_centrality() (in module networkx.algorithms.centrality)": [[321, "networkx.algorithms.centrality.harmonic_centrality"]], "in_degree_centrality() (in module networkx.algorithms.centrality)": [[322, "networkx.algorithms.centrality.in_degree_centrality"]], "incremental_closeness_centrality() (in module networkx.algorithms.centrality)": [[323, "networkx.algorithms.centrality.incremental_closeness_centrality"]], "information_centrality() (in module networkx.algorithms.centrality)": [[324, "networkx.algorithms.centrality.information_centrality"]], "katz_centrality() (in module networkx.algorithms.centrality)": [[325, "networkx.algorithms.centrality.katz_centrality"]], "katz_centrality_numpy() (in module networkx.algorithms.centrality)": [[326, "networkx.algorithms.centrality.katz_centrality_numpy"]], "laplacian_centrality() (in module networkx.algorithms.centrality)": [[327, "networkx.algorithms.centrality.laplacian_centrality"]], "load_centrality() (in module networkx.algorithms.centrality)": [[328, "networkx.algorithms.centrality.load_centrality"]], "local_reaching_centrality() (in module networkx.algorithms.centrality)": [[329, "networkx.algorithms.centrality.local_reaching_centrality"]], "out_degree_centrality() (in module networkx.algorithms.centrality)": [[330, "networkx.algorithms.centrality.out_degree_centrality"]], "percolation_centrality() (in module networkx.algorithms.centrality)": [[331, "networkx.algorithms.centrality.percolation_centrality"]], "prominent_group() (in module networkx.algorithms.centrality)": [[332, "networkx.algorithms.centrality.prominent_group"]], "second_order_centrality() (in module networkx.algorithms.centrality)": [[333, "networkx.algorithms.centrality.second_order_centrality"]], "subgraph_centrality() (in module networkx.algorithms.centrality)": [[334, "networkx.algorithms.centrality.subgraph_centrality"]], "subgraph_centrality_exp() (in module networkx.algorithms.centrality)": [[335, "networkx.algorithms.centrality.subgraph_centrality_exp"]], "trophic_differences() (in module networkx.algorithms.centrality)": [[336, "networkx.algorithms.centrality.trophic_differences"]], "trophic_incoherence_parameter() (in module networkx.algorithms.centrality)": [[337, "networkx.algorithms.centrality.trophic_incoherence_parameter"]], "trophic_levels() (in module networkx.algorithms.centrality)": [[338, "networkx.algorithms.centrality.trophic_levels"]], "voterank() (in module networkx.algorithms.centrality)": [[339, "networkx.algorithms.centrality.voterank"]], "chain_decomposition() (in module networkx.algorithms.chains)": [[340, "networkx.algorithms.chains.chain_decomposition"]], "chordal_graph_cliques() (in module networkx.algorithms.chordal)": [[341, "networkx.algorithms.chordal.chordal_graph_cliques"]], "chordal_graph_treewidth() (in module networkx.algorithms.chordal)": [[342, "networkx.algorithms.chordal.chordal_graph_treewidth"]], "complete_to_chordal_graph() (in module networkx.algorithms.chordal)": [[343, "networkx.algorithms.chordal.complete_to_chordal_graph"]], "find_induced_nodes() (in module networkx.algorithms.chordal)": [[344, "networkx.algorithms.chordal.find_induced_nodes"]], "is_chordal() (in module networkx.algorithms.chordal)": [[345, "networkx.algorithms.chordal.is_chordal"]], "cliques_containing_node() (in module networkx.algorithms.clique)": [[346, "networkx.algorithms.clique.cliques_containing_node"]], "enumerate_all_cliques() (in module networkx.algorithms.clique)": [[347, "networkx.algorithms.clique.enumerate_all_cliques"]], "find_cliques() (in module networkx.algorithms.clique)": [[348, "networkx.algorithms.clique.find_cliques"]], "find_cliques_recursive() (in module networkx.algorithms.clique)": [[349, "networkx.algorithms.clique.find_cliques_recursive"]], "graph_clique_number() (in module networkx.algorithms.clique)": [[350, "networkx.algorithms.clique.graph_clique_number"]], "graph_number_of_cliques() (in module networkx.algorithms.clique)": [[351, "networkx.algorithms.clique.graph_number_of_cliques"]], "make_clique_bipartite() (in module networkx.algorithms.clique)": [[352, "networkx.algorithms.clique.make_clique_bipartite"]], "make_max_clique_graph() (in module networkx.algorithms.clique)": [[353, "networkx.algorithms.clique.make_max_clique_graph"]], "max_weight_clique() (in module networkx.algorithms.clique)": [[354, "networkx.algorithms.clique.max_weight_clique"]], "node_clique_number() (in module networkx.algorithms.clique)": [[355, "networkx.algorithms.clique.node_clique_number"]], "number_of_cliques() (in module networkx.algorithms.clique)": [[356, "networkx.algorithms.clique.number_of_cliques"]], "average_clustering() (in module networkx.algorithms.cluster)": [[357, "networkx.algorithms.cluster.average_clustering"]], "clustering() (in module networkx.algorithms.cluster)": [[358, "networkx.algorithms.cluster.clustering"]], "generalized_degree() (in module networkx.algorithms.cluster)": [[359, "networkx.algorithms.cluster.generalized_degree"]], "square_clustering() (in module networkx.algorithms.cluster)": [[360, "networkx.algorithms.cluster.square_clustering"]], "transitivity() (in module networkx.algorithms.cluster)": [[361, "networkx.algorithms.cluster.transitivity"]], "triangles() (in module networkx.algorithms.cluster)": [[362, "networkx.algorithms.cluster.triangles"]], "equitable_color() (in module networkx.algorithms.coloring)": [[363, "networkx.algorithms.coloring.equitable_color"]], "greedy_color() (in module networkx.algorithms.coloring)": [[364, "networkx.algorithms.coloring.greedy_color"]], "strategy_connected_sequential() (in module networkx.algorithms.coloring)": [[365, "networkx.algorithms.coloring.strategy_connected_sequential"]], "strategy_connected_sequential_bfs() (in module networkx.algorithms.coloring)": [[366, "networkx.algorithms.coloring.strategy_connected_sequential_bfs"]], "strategy_connected_sequential_dfs() (in module networkx.algorithms.coloring)": [[367, "networkx.algorithms.coloring.strategy_connected_sequential_dfs"]], "strategy_independent_set() (in module networkx.algorithms.coloring)": [[368, "networkx.algorithms.coloring.strategy_independent_set"]], "strategy_largest_first() (in module networkx.algorithms.coloring)": [[369, "networkx.algorithms.coloring.strategy_largest_first"]], "strategy_random_sequential() (in module networkx.algorithms.coloring)": [[370, "networkx.algorithms.coloring.strategy_random_sequential"]], "strategy_saturation_largest_first() (in module networkx.algorithms.coloring)": [[371, "networkx.algorithms.coloring.strategy_saturation_largest_first"]], "strategy_smallest_last() (in module networkx.algorithms.coloring)": [[372, "networkx.algorithms.coloring.strategy_smallest_last"]], "communicability() (in module networkx.algorithms.communicability_alg)": [[373, "networkx.algorithms.communicability_alg.communicability"]], "communicability_exp() (in module networkx.algorithms.communicability_alg)": [[374, "networkx.algorithms.communicability_alg.communicability_exp"]], "asyn_fluidc() (in module networkx.algorithms.community.asyn_fluid)": [[375, "networkx.algorithms.community.asyn_fluid.asyn_fluidc"]], "girvan_newman() (in module networkx.algorithms.community.centrality)": [[376, "networkx.algorithms.community.centrality.girvan_newman"]], "is_partition() (in module networkx.algorithms.community.community_utils)": [[377, "networkx.algorithms.community.community_utils.is_partition"]], "k_clique_communities() (in module networkx.algorithms.community.kclique)": [[378, "networkx.algorithms.community.kclique.k_clique_communities"]], "kernighan_lin_bisection() (in module networkx.algorithms.community.kernighan_lin)": [[379, "networkx.algorithms.community.kernighan_lin.kernighan_lin_bisection"]], "asyn_lpa_communities() (in module networkx.algorithms.community.label_propagation)": [[380, "networkx.algorithms.community.label_propagation.asyn_lpa_communities"]], "label_propagation_communities() (in module networkx.algorithms.community.label_propagation)": [[381, "networkx.algorithms.community.label_propagation.label_propagation_communities"]], "louvain_communities() (in module networkx.algorithms.community.louvain)": [[382, "networkx.algorithms.community.louvain.louvain_communities"]], "louvain_partitions() (in module networkx.algorithms.community.louvain)": [[383, "networkx.algorithms.community.louvain.louvain_partitions"]], "lukes_partitioning() (in module networkx.algorithms.community.lukes)": [[384, "networkx.algorithms.community.lukes.lukes_partitioning"]], "greedy_modularity_communities() (in module networkx.algorithms.community.modularity_max)": [[385, "networkx.algorithms.community.modularity_max.greedy_modularity_communities"]], "naive_greedy_modularity_communities() (in module networkx.algorithms.community.modularity_max)": [[386, "networkx.algorithms.community.modularity_max.naive_greedy_modularity_communities"]], "modularity() (in module networkx.algorithms.community.quality)": [[387, "networkx.algorithms.community.quality.modularity"]], "partition_quality() (in module networkx.algorithms.community.quality)": [[388, "networkx.algorithms.community.quality.partition_quality"]], "articulation_points() (in module networkx.algorithms.components)": [[389, "networkx.algorithms.components.articulation_points"]], "attracting_components() (in module networkx.algorithms.components)": [[390, "networkx.algorithms.components.attracting_components"]], "biconnected_component_edges() (in module networkx.algorithms.components)": [[391, "networkx.algorithms.components.biconnected_component_edges"]], "biconnected_components() (in module networkx.algorithms.components)": [[392, "networkx.algorithms.components.biconnected_components"]], "condensation() (in module networkx.algorithms.components)": [[393, "networkx.algorithms.components.condensation"]], "connected_components() (in module networkx.algorithms.components)": [[394, "networkx.algorithms.components.connected_components"]], "is_attracting_component() (in module networkx.algorithms.components)": [[395, "networkx.algorithms.components.is_attracting_component"]], "is_biconnected() (in module networkx.algorithms.components)": [[396, "networkx.algorithms.components.is_biconnected"]], "is_connected() (in module networkx.algorithms.components)": [[397, "networkx.algorithms.components.is_connected"]], "is_semiconnected() (in module networkx.algorithms.components)": [[398, "networkx.algorithms.components.is_semiconnected"]], "is_strongly_connected() (in module networkx.algorithms.components)": [[399, "networkx.algorithms.components.is_strongly_connected"]], "is_weakly_connected() (in module networkx.algorithms.components)": [[400, "networkx.algorithms.components.is_weakly_connected"]], "kosaraju_strongly_connected_components() (in module networkx.algorithms.components)": [[401, "networkx.algorithms.components.kosaraju_strongly_connected_components"]], "node_connected_component() (in module networkx.algorithms.components)": [[402, "networkx.algorithms.components.node_connected_component"]], "number_attracting_components() (in module networkx.algorithms.components)": [[403, "networkx.algorithms.components.number_attracting_components"]], "number_connected_components() (in module networkx.algorithms.components)": [[404, "networkx.algorithms.components.number_connected_components"]], "number_strongly_connected_components() (in module networkx.algorithms.components)": [[405, "networkx.algorithms.components.number_strongly_connected_components"]], "number_weakly_connected_components() (in module networkx.algorithms.components)": [[406, "networkx.algorithms.components.number_weakly_connected_components"]], "strongly_connected_components() (in module networkx.algorithms.components)": [[407, "networkx.algorithms.components.strongly_connected_components"]], "strongly_connected_components_recursive() (in module networkx.algorithms.components)": [[408, "networkx.algorithms.components.strongly_connected_components_recursive"]], "weakly_connected_components() (in module networkx.algorithms.components)": [[409, "networkx.algorithms.components.weakly_connected_components"]], "all_pairs_node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[410, "networkx.algorithms.connectivity.connectivity.all_pairs_node_connectivity"]], "average_node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[411, "networkx.algorithms.connectivity.connectivity.average_node_connectivity"]], "edge_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[412, "networkx.algorithms.connectivity.connectivity.edge_connectivity"]], "local_edge_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[413, "networkx.algorithms.connectivity.connectivity.local_edge_connectivity"]], "local_node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[414, "networkx.algorithms.connectivity.connectivity.local_node_connectivity"]], "node_connectivity() (in module networkx.algorithms.connectivity.connectivity)": [[415, "networkx.algorithms.connectivity.connectivity.node_connectivity"]], "minimum_edge_cut() (in module networkx.algorithms.connectivity.cuts)": [[416, "networkx.algorithms.connectivity.cuts.minimum_edge_cut"]], "minimum_node_cut() (in module networkx.algorithms.connectivity.cuts)": [[417, "networkx.algorithms.connectivity.cuts.minimum_node_cut"]], "minimum_st_edge_cut() (in module networkx.algorithms.connectivity.cuts)": [[418, "networkx.algorithms.connectivity.cuts.minimum_st_edge_cut"]], "minimum_st_node_cut() (in module networkx.algorithms.connectivity.cuts)": [[419, "networkx.algorithms.connectivity.cuts.minimum_st_node_cut"]], "edge_disjoint_paths() (in module networkx.algorithms.connectivity.disjoint_paths)": [[420, "networkx.algorithms.connectivity.disjoint_paths.edge_disjoint_paths"]], "node_disjoint_paths() (in module networkx.algorithms.connectivity.disjoint_paths)": [[421, "networkx.algorithms.connectivity.disjoint_paths.node_disjoint_paths"]], "is_k_edge_connected() (in module networkx.algorithms.connectivity.edge_augmentation)": [[422, "networkx.algorithms.connectivity.edge_augmentation.is_k_edge_connected"]], "is_locally_k_edge_connected() (in module networkx.algorithms.connectivity.edge_augmentation)": [[423, "networkx.algorithms.connectivity.edge_augmentation.is_locally_k_edge_connected"]], "k_edge_augmentation() (in module networkx.algorithms.connectivity.edge_augmentation)": [[424, "networkx.algorithms.connectivity.edge_augmentation.k_edge_augmentation"]], "edgecomponentauxgraph (class in networkx.algorithms.connectivity.edge_kcomponents)": [[425, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph"]], "__init__() (edgecomponentauxgraph method)": [[425, "networkx.algorithms.connectivity.edge_kcomponents.EdgeComponentAuxGraph.__init__"]], "bridge_components() (in module networkx.algorithms.connectivity.edge_kcomponents)": [[426, "networkx.algorithms.connectivity.edge_kcomponents.bridge_components"]], "k_edge_components() (in module networkx.algorithms.connectivity.edge_kcomponents)": [[427, "networkx.algorithms.connectivity.edge_kcomponents.k_edge_components"]], "k_edge_subgraphs() (in module networkx.algorithms.connectivity.edge_kcomponents)": [[428, "networkx.algorithms.connectivity.edge_kcomponents.k_edge_subgraphs"]], "k_components() (in module networkx.algorithms.connectivity.kcomponents)": [[429, "networkx.algorithms.connectivity.kcomponents.k_components"]], "all_node_cuts() (in module networkx.algorithms.connectivity.kcutsets)": [[430, "networkx.algorithms.connectivity.kcutsets.all_node_cuts"]], "stoer_wagner() (in module networkx.algorithms.connectivity.stoerwagner)": [[431, "networkx.algorithms.connectivity.stoerwagner.stoer_wagner"]], "build_auxiliary_edge_connectivity() (in module networkx.algorithms.connectivity.utils)": [[432, "networkx.algorithms.connectivity.utils.build_auxiliary_edge_connectivity"]], "build_auxiliary_node_connectivity() (in module networkx.algorithms.connectivity.utils)": [[433, "networkx.algorithms.connectivity.utils.build_auxiliary_node_connectivity"]], "core_number() (in module networkx.algorithms.core)": [[434, "networkx.algorithms.core.core_number"]], "k_core() (in module networkx.algorithms.core)": [[435, "networkx.algorithms.core.k_core"]], "k_corona() (in module networkx.algorithms.core)": [[436, "networkx.algorithms.core.k_corona"]], "k_crust() (in module networkx.algorithms.core)": [[437, "networkx.algorithms.core.k_crust"]], "k_shell() (in module networkx.algorithms.core)": [[438, "networkx.algorithms.core.k_shell"]], "k_truss() (in module networkx.algorithms.core)": [[439, "networkx.algorithms.core.k_truss"]], "onion_layers() (in module networkx.algorithms.core)": [[440, "networkx.algorithms.core.onion_layers"]], "is_edge_cover() (in module networkx.algorithms.covering)": [[441, "networkx.algorithms.covering.is_edge_cover"]], "min_edge_cover() (in module networkx.algorithms.covering)": [[442, "networkx.algorithms.covering.min_edge_cover"]], "boundary_expansion() (in module networkx.algorithms.cuts)": [[443, "networkx.algorithms.cuts.boundary_expansion"]], "conductance() (in module networkx.algorithms.cuts)": [[444, "networkx.algorithms.cuts.conductance"]], "cut_size() (in module networkx.algorithms.cuts)": [[445, "networkx.algorithms.cuts.cut_size"]], "edge_expansion() (in module networkx.algorithms.cuts)": [[446, "networkx.algorithms.cuts.edge_expansion"]], "mixing_expansion() (in module networkx.algorithms.cuts)": [[447, "networkx.algorithms.cuts.mixing_expansion"]], "node_expansion() (in module networkx.algorithms.cuts)": [[448, "networkx.algorithms.cuts.node_expansion"]], "normalized_cut_size() (in module networkx.algorithms.cuts)": [[449, "networkx.algorithms.cuts.normalized_cut_size"]], "volume() (in module networkx.algorithms.cuts)": [[450, "networkx.algorithms.cuts.volume"]], "cycle_basis() (in module networkx.algorithms.cycles)": [[451, "networkx.algorithms.cycles.cycle_basis"]], "find_cycle() (in module networkx.algorithms.cycles)": [[452, "networkx.algorithms.cycles.find_cycle"]], "minimum_cycle_basis() (in module networkx.algorithms.cycles)": [[453, "networkx.algorithms.cycles.minimum_cycle_basis"]], "recursive_simple_cycles() (in module networkx.algorithms.cycles)": [[454, "networkx.algorithms.cycles.recursive_simple_cycles"]], "simple_cycles() (in module networkx.algorithms.cycles)": [[455, "networkx.algorithms.cycles.simple_cycles"]], "d_separated() (in module networkx.algorithms.d_separation)": [[456, "networkx.algorithms.d_separation.d_separated"]], "all_topological_sorts() (in module networkx.algorithms.dag)": [[457, "networkx.algorithms.dag.all_topological_sorts"]], "ancestors() (in module networkx.algorithms.dag)": [[458, "networkx.algorithms.dag.ancestors"]], "antichains() (in module networkx.algorithms.dag)": [[459, "networkx.algorithms.dag.antichains"]], "dag_longest_path() (in module networkx.algorithms.dag)": [[460, "networkx.algorithms.dag.dag_longest_path"]], "dag_longest_path_length() (in module networkx.algorithms.dag)": [[461, "networkx.algorithms.dag.dag_longest_path_length"]], "dag_to_branching() (in module networkx.algorithms.dag)": [[462, "networkx.algorithms.dag.dag_to_branching"]], "descendants() (in module networkx.algorithms.dag)": [[463, "networkx.algorithms.dag.descendants"]], "is_aperiodic() (in module networkx.algorithms.dag)": [[464, "networkx.algorithms.dag.is_aperiodic"]], "is_directed_acyclic_graph() (in module networkx.algorithms.dag)": [[465, "networkx.algorithms.dag.is_directed_acyclic_graph"]], "lexicographical_topological_sort() (in module networkx.algorithms.dag)": [[466, "networkx.algorithms.dag.lexicographical_topological_sort"]], "topological_generations() (in module networkx.algorithms.dag)": [[467, "networkx.algorithms.dag.topological_generations"]], "topological_sort() (in module networkx.algorithms.dag)": [[468, "networkx.algorithms.dag.topological_sort"]], "transitive_closure() (in module networkx.algorithms.dag)": [[469, "networkx.algorithms.dag.transitive_closure"]], "transitive_closure_dag() (in module networkx.algorithms.dag)": [[470, "networkx.algorithms.dag.transitive_closure_dag"]], "transitive_reduction() (in module networkx.algorithms.dag)": [[471, "networkx.algorithms.dag.transitive_reduction"]], "barycenter() (in module networkx.algorithms.distance_measures)": [[472, "networkx.algorithms.distance_measures.barycenter"]], "center() (in module networkx.algorithms.distance_measures)": [[473, "networkx.algorithms.distance_measures.center"]], "diameter() (in module networkx.algorithms.distance_measures)": [[474, "networkx.algorithms.distance_measures.diameter"]], "eccentricity() (in module networkx.algorithms.distance_measures)": [[475, "networkx.algorithms.distance_measures.eccentricity"]], "periphery() (in module networkx.algorithms.distance_measures)": [[476, "networkx.algorithms.distance_measures.periphery"]], "radius() (in module networkx.algorithms.distance_measures)": [[477, "networkx.algorithms.distance_measures.radius"]], "resistance_distance() (in module networkx.algorithms.distance_measures)": [[478, "networkx.algorithms.distance_measures.resistance_distance"]], "global_parameters() (in module networkx.algorithms.distance_regular)": [[479, "networkx.algorithms.distance_regular.global_parameters"]], "intersection_array() (in module networkx.algorithms.distance_regular)": [[480, "networkx.algorithms.distance_regular.intersection_array"]], "is_distance_regular() (in module networkx.algorithms.distance_regular)": [[481, "networkx.algorithms.distance_regular.is_distance_regular"]], "is_strongly_regular() (in module networkx.algorithms.distance_regular)": [[482, "networkx.algorithms.distance_regular.is_strongly_regular"]], "dominance_frontiers() (in module networkx.algorithms.dominance)": [[483, "networkx.algorithms.dominance.dominance_frontiers"]], "immediate_dominators() (in module networkx.algorithms.dominance)": [[484, "networkx.algorithms.dominance.immediate_dominators"]], "dominating_set() (in module networkx.algorithms.dominating)": [[485, "networkx.algorithms.dominating.dominating_set"]], "is_dominating_set() (in module networkx.algorithms.dominating)": [[486, "networkx.algorithms.dominating.is_dominating_set"]], "efficiency() (in module networkx.algorithms.efficiency_measures)": [[487, "networkx.algorithms.efficiency_measures.efficiency"]], "global_efficiency() (in module networkx.algorithms.efficiency_measures)": [[488, "networkx.algorithms.efficiency_measures.global_efficiency"]], "local_efficiency() (in module networkx.algorithms.efficiency_measures)": [[489, "networkx.algorithms.efficiency_measures.local_efficiency"]], "eulerian_circuit() (in module networkx.algorithms.euler)": [[490, "networkx.algorithms.euler.eulerian_circuit"]], "eulerian_path() (in module networkx.algorithms.euler)": [[491, "networkx.algorithms.euler.eulerian_path"]], "eulerize() (in module networkx.algorithms.euler)": [[492, "networkx.algorithms.euler.eulerize"]], "has_eulerian_path() (in module networkx.algorithms.euler)": [[493, "networkx.algorithms.euler.has_eulerian_path"]], "is_eulerian() (in module networkx.algorithms.euler)": [[494, "networkx.algorithms.euler.is_eulerian"]], "is_semieulerian() (in module networkx.algorithms.euler)": [[495, "networkx.algorithms.euler.is_semieulerian"]], "boykov_kolmogorov() (in module networkx.algorithms.flow)": [[496, "networkx.algorithms.flow.boykov_kolmogorov"]], "build_residual_network() (in module networkx.algorithms.flow)": [[497, "networkx.algorithms.flow.build_residual_network"]], "capacity_scaling() (in module networkx.algorithms.flow)": [[498, "networkx.algorithms.flow.capacity_scaling"]], "cost_of_flow() (in module networkx.algorithms.flow)": [[499, "networkx.algorithms.flow.cost_of_flow"]], "dinitz() (in module networkx.algorithms.flow)": [[500, "networkx.algorithms.flow.dinitz"]], "edmonds_karp() (in module networkx.algorithms.flow)": [[501, "networkx.algorithms.flow.edmonds_karp"]], "gomory_hu_tree() (in module networkx.algorithms.flow)": [[502, "networkx.algorithms.flow.gomory_hu_tree"]], "max_flow_min_cost() (in module networkx.algorithms.flow)": [[503, "networkx.algorithms.flow.max_flow_min_cost"]], "maximum_flow() (in module networkx.algorithms.flow)": [[504, "networkx.algorithms.flow.maximum_flow"]], "maximum_flow_value() (in module networkx.algorithms.flow)": [[505, "networkx.algorithms.flow.maximum_flow_value"]], "min_cost_flow() (in module networkx.algorithms.flow)": [[506, "networkx.algorithms.flow.min_cost_flow"]], "min_cost_flow_cost() (in module networkx.algorithms.flow)": [[507, "networkx.algorithms.flow.min_cost_flow_cost"]], "minimum_cut() (in module networkx.algorithms.flow)": [[508, "networkx.algorithms.flow.minimum_cut"]], "minimum_cut_value() (in module networkx.algorithms.flow)": [[509, "networkx.algorithms.flow.minimum_cut_value"]], "network_simplex() (in module networkx.algorithms.flow)": [[510, "networkx.algorithms.flow.network_simplex"]], "preflow_push() (in module networkx.algorithms.flow)": [[511, "networkx.algorithms.flow.preflow_push"]], "shortest_augmenting_path() (in module networkx.algorithms.flow)": [[512, "networkx.algorithms.flow.shortest_augmenting_path"]], "weisfeiler_lehman_graph_hash() (in module networkx.algorithms.graph_hashing)": [[513, "networkx.algorithms.graph_hashing.weisfeiler_lehman_graph_hash"]], "weisfeiler_lehman_subgraph_hashes() (in module networkx.algorithms.graph_hashing)": [[514, "networkx.algorithms.graph_hashing.weisfeiler_lehman_subgraph_hashes"]], "is_digraphical() (in module networkx.algorithms.graphical)": [[515, "networkx.algorithms.graphical.is_digraphical"]], "is_graphical() (in module networkx.algorithms.graphical)": [[516, "networkx.algorithms.graphical.is_graphical"]], "is_multigraphical() (in module networkx.algorithms.graphical)": [[517, "networkx.algorithms.graphical.is_multigraphical"]], "is_pseudographical() (in module networkx.algorithms.graphical)": [[518, "networkx.algorithms.graphical.is_pseudographical"]], "is_valid_degree_sequence_erdos_gallai() (in module networkx.algorithms.graphical)": [[519, "networkx.algorithms.graphical.is_valid_degree_sequence_erdos_gallai"]], "is_valid_degree_sequence_havel_hakimi() (in module networkx.algorithms.graphical)": [[520, "networkx.algorithms.graphical.is_valid_degree_sequence_havel_hakimi"]], "flow_hierarchy() (in module networkx.algorithms.hierarchy)": [[521, "networkx.algorithms.hierarchy.flow_hierarchy"]], "is_kl_connected() (in module networkx.algorithms.hybrid)": [[522, "networkx.algorithms.hybrid.is_kl_connected"]], "kl_connected_subgraph() (in module networkx.algorithms.hybrid)": [[523, "networkx.algorithms.hybrid.kl_connected_subgraph"]], "is_isolate() (in module networkx.algorithms.isolate)": [[524, "networkx.algorithms.isolate.is_isolate"]], "isolates() (in module networkx.algorithms.isolate)": [[525, "networkx.algorithms.isolate.isolates"]], "number_of_isolates() (in module networkx.algorithms.isolate)": [[526, "networkx.algorithms.isolate.number_of_isolates"]], "__init__() (digraphmatcher method)": [[527, "networkx.algorithms.isomorphism.DiGraphMatcher.__init__"]], "candidate_pairs_iter() (digraphmatcher method)": [[528, "networkx.algorithms.isomorphism.DiGraphMatcher.candidate_pairs_iter"]], "initialize() (digraphmatcher method)": [[529, "networkx.algorithms.isomorphism.DiGraphMatcher.initialize"]], "is_isomorphic() (digraphmatcher method)": [[530, "networkx.algorithms.isomorphism.DiGraphMatcher.is_isomorphic"]], "isomorphisms_iter() (digraphmatcher method)": [[531, "networkx.algorithms.isomorphism.DiGraphMatcher.isomorphisms_iter"]], "match() (digraphmatcher method)": [[532, "networkx.algorithms.isomorphism.DiGraphMatcher.match"]], "semantic_feasibility() (digraphmatcher method)": [[533, "networkx.algorithms.isomorphism.DiGraphMatcher.semantic_feasibility"]], "subgraph_is_isomorphic() (digraphmatcher method)": [[534, "networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_is_isomorphic"]], "subgraph_isomorphisms_iter() (digraphmatcher method)": [[535, "networkx.algorithms.isomorphism.DiGraphMatcher.subgraph_isomorphisms_iter"]], "syntactic_feasibility() (digraphmatcher method)": [[536, "networkx.algorithms.isomorphism.DiGraphMatcher.syntactic_feasibility"]], "__init__() (graphmatcher method)": [[537, "networkx.algorithms.isomorphism.GraphMatcher.__init__"]], "candidate_pairs_iter() (graphmatcher method)": [[538, "networkx.algorithms.isomorphism.GraphMatcher.candidate_pairs_iter"]], "initialize() (graphmatcher method)": [[539, "networkx.algorithms.isomorphism.GraphMatcher.initialize"]], "is_isomorphic() (graphmatcher method)": [[540, "networkx.algorithms.isomorphism.GraphMatcher.is_isomorphic"]], "isomorphisms_iter() (graphmatcher method)": [[541, "networkx.algorithms.isomorphism.GraphMatcher.isomorphisms_iter"]], "match() (graphmatcher method)": [[542, "networkx.algorithms.isomorphism.GraphMatcher.match"]], "semantic_feasibility() (graphmatcher method)": [[543, "networkx.algorithms.isomorphism.GraphMatcher.semantic_feasibility"]], "subgraph_is_isomorphic() (graphmatcher method)": [[544, "networkx.algorithms.isomorphism.GraphMatcher.subgraph_is_isomorphic"]], "subgraph_isomorphisms_iter() (graphmatcher method)": [[545, "networkx.algorithms.isomorphism.GraphMatcher.subgraph_isomorphisms_iter"]], "syntactic_feasibility() (graphmatcher method)": [[546, "networkx.algorithms.isomorphism.GraphMatcher.syntactic_feasibility"]], "ismags (class in networkx.algorithms.isomorphism)": [[547, "networkx.algorithms.isomorphism.ISMAGS"]], "__init__() (ismags method)": [[547, "networkx.algorithms.isomorphism.ISMAGS.__init__"]], "categorical_edge_match() (in module networkx.algorithms.isomorphism)": [[548, "networkx.algorithms.isomorphism.categorical_edge_match"]], "categorical_multiedge_match() (in module networkx.algorithms.isomorphism)": [[549, "networkx.algorithms.isomorphism.categorical_multiedge_match"]], "categorical_node_match() (in module networkx.algorithms.isomorphism)": [[550, "networkx.algorithms.isomorphism.categorical_node_match"]], "could_be_isomorphic() (in module networkx.algorithms.isomorphism)": [[551, "networkx.algorithms.isomorphism.could_be_isomorphic"]], "fast_could_be_isomorphic() (in module networkx.algorithms.isomorphism)": [[552, "networkx.algorithms.isomorphism.fast_could_be_isomorphic"]], "faster_could_be_isomorphic() (in module networkx.algorithms.isomorphism)": [[553, "networkx.algorithms.isomorphism.faster_could_be_isomorphic"]], "generic_edge_match() (in module networkx.algorithms.isomorphism)": [[554, "networkx.algorithms.isomorphism.generic_edge_match"]], "generic_multiedge_match() (in module networkx.algorithms.isomorphism)": [[555, "networkx.algorithms.isomorphism.generic_multiedge_match"]], "generic_node_match() (in module networkx.algorithms.isomorphism)": [[556, "networkx.algorithms.isomorphism.generic_node_match"]], "is_isomorphic() (in module networkx.algorithms.isomorphism)": [[557, "networkx.algorithms.isomorphism.is_isomorphic"]], "numerical_edge_match() (in module networkx.algorithms.isomorphism)": [[558, "networkx.algorithms.isomorphism.numerical_edge_match"]], "numerical_multiedge_match() (in module networkx.algorithms.isomorphism)": [[559, "networkx.algorithms.isomorphism.numerical_multiedge_match"]], "numerical_node_match() (in module networkx.algorithms.isomorphism)": [[560, "networkx.algorithms.isomorphism.numerical_node_match"]], "rooted_tree_isomorphism() (in module networkx.algorithms.isomorphism.tree_isomorphism)": [[561, "networkx.algorithms.isomorphism.tree_isomorphism.rooted_tree_isomorphism"]], "tree_isomorphism() (in module networkx.algorithms.isomorphism.tree_isomorphism)": [[562, "networkx.algorithms.isomorphism.tree_isomorphism.tree_isomorphism"]], "vf2pp_all_isomorphisms() (in module networkx.algorithms.isomorphism.vf2pp)": [[563, "networkx.algorithms.isomorphism.vf2pp.vf2pp_all_isomorphisms"]], "vf2pp_is_isomorphic() (in module networkx.algorithms.isomorphism.vf2pp)": [[564, "networkx.algorithms.isomorphism.vf2pp.vf2pp_is_isomorphic"]], "vf2pp_isomorphism() (in module networkx.algorithms.isomorphism.vf2pp)": [[565, "networkx.algorithms.isomorphism.vf2pp.vf2pp_isomorphism"]], "hits() (in module networkx.algorithms.link_analysis.hits_alg)": [[566, "networkx.algorithms.link_analysis.hits_alg.hits"]], "google_matrix() (in module networkx.algorithms.link_analysis.pagerank_alg)": [[567, "networkx.algorithms.link_analysis.pagerank_alg.google_matrix"]], "pagerank() (in module networkx.algorithms.link_analysis.pagerank_alg)": [[568, "networkx.algorithms.link_analysis.pagerank_alg.pagerank"]], "adamic_adar_index() (in module networkx.algorithms.link_prediction)": [[569, "networkx.algorithms.link_prediction.adamic_adar_index"]], "cn_soundarajan_hopcroft() (in module networkx.algorithms.link_prediction)": [[570, "networkx.algorithms.link_prediction.cn_soundarajan_hopcroft"]], "common_neighbor_centrality() (in module networkx.algorithms.link_prediction)": [[571, "networkx.algorithms.link_prediction.common_neighbor_centrality"]], "jaccard_coefficient() (in module networkx.algorithms.link_prediction)": [[572, "networkx.algorithms.link_prediction.jaccard_coefficient"]], "preferential_attachment() (in module networkx.algorithms.link_prediction)": [[573, "networkx.algorithms.link_prediction.preferential_attachment"]], "ra_index_soundarajan_hopcroft() (in module networkx.algorithms.link_prediction)": [[574, "networkx.algorithms.link_prediction.ra_index_soundarajan_hopcroft"]], "resource_allocation_index() (in module networkx.algorithms.link_prediction)": [[575, "networkx.algorithms.link_prediction.resource_allocation_index"]], "within_inter_cluster() (in module networkx.algorithms.link_prediction)": [[576, "networkx.algorithms.link_prediction.within_inter_cluster"]], "all_pairs_lowest_common_ancestor() (in module networkx.algorithms.lowest_common_ancestors)": [[577, "networkx.algorithms.lowest_common_ancestors.all_pairs_lowest_common_ancestor"]], "lowest_common_ancestor() (in module networkx.algorithms.lowest_common_ancestors)": [[578, "networkx.algorithms.lowest_common_ancestors.lowest_common_ancestor"]], "tree_all_pairs_lowest_common_ancestor() (in module networkx.algorithms.lowest_common_ancestors)": [[579, "networkx.algorithms.lowest_common_ancestors.tree_all_pairs_lowest_common_ancestor"]], "is_matching() (in module networkx.algorithms.matching)": [[580, "networkx.algorithms.matching.is_matching"]], "is_maximal_matching() (in module networkx.algorithms.matching)": [[581, "networkx.algorithms.matching.is_maximal_matching"]], "is_perfect_matching() (in module networkx.algorithms.matching)": [[582, "networkx.algorithms.matching.is_perfect_matching"]], "max_weight_matching() (in module networkx.algorithms.matching)": [[583, "networkx.algorithms.matching.max_weight_matching"]], "maximal_matching() (in module networkx.algorithms.matching)": [[584, "networkx.algorithms.matching.maximal_matching"]], "min_weight_matching() (in module networkx.algorithms.matching)": [[585, "networkx.algorithms.matching.min_weight_matching"]], "contracted_edge() (in module networkx.algorithms.minors)": [[586, "networkx.algorithms.minors.contracted_edge"]], "contracted_nodes() (in module networkx.algorithms.minors)": [[587, "networkx.algorithms.minors.contracted_nodes"]], "equivalence_classes() (in module networkx.algorithms.minors)": [[588, "networkx.algorithms.minors.equivalence_classes"]], "identified_nodes() (in module networkx.algorithms.minors)": [[589, "networkx.algorithms.minors.identified_nodes"]], "quotient_graph() (in module networkx.algorithms.minors)": [[590, "networkx.algorithms.minors.quotient_graph"]], "maximal_independent_set() (in module networkx.algorithms.mis)": [[591, "networkx.algorithms.mis.maximal_independent_set"]], "moral_graph() (in module networkx.algorithms.moral)": [[592, "networkx.algorithms.moral.moral_graph"]], "harmonic_function() (in module networkx.algorithms.node_classification)": [[593, "networkx.algorithms.node_classification.harmonic_function"]], "local_and_global_consistency() (in module networkx.algorithms.node_classification)": [[594, "networkx.algorithms.node_classification.local_and_global_consistency"]], "non_randomness() (in module networkx.algorithms.non_randomness)": [[595, "networkx.algorithms.non_randomness.non_randomness"]], "compose_all() (in module networkx.algorithms.operators.all)": [[596, "networkx.algorithms.operators.all.compose_all"]], "disjoint_union_all() (in module networkx.algorithms.operators.all)": [[597, "networkx.algorithms.operators.all.disjoint_union_all"]], "intersection_all() (in module networkx.algorithms.operators.all)": [[598, "networkx.algorithms.operators.all.intersection_all"]], "union_all() (in module networkx.algorithms.operators.all)": [[599, "networkx.algorithms.operators.all.union_all"]], "compose() (in module networkx.algorithms.operators.binary)": [[600, "networkx.algorithms.operators.binary.compose"]], "difference() (in module networkx.algorithms.operators.binary)": [[601, "networkx.algorithms.operators.binary.difference"]], "disjoint_union() (in module networkx.algorithms.operators.binary)": [[602, "networkx.algorithms.operators.binary.disjoint_union"]], "full_join() (in module networkx.algorithms.operators.binary)": [[603, "networkx.algorithms.operators.binary.full_join"]], "intersection() (in module networkx.algorithms.operators.binary)": [[604, "networkx.algorithms.operators.binary.intersection"]], "symmetric_difference() (in module networkx.algorithms.operators.binary)": [[605, "networkx.algorithms.operators.binary.symmetric_difference"]], "union() (in module networkx.algorithms.operators.binary)": [[606, "networkx.algorithms.operators.binary.union"]], "cartesian_product() (in module networkx.algorithms.operators.product)": [[607, "networkx.algorithms.operators.product.cartesian_product"]], "corona_product() (in module networkx.algorithms.operators.product)": [[608, "networkx.algorithms.operators.product.corona_product"]], "lexicographic_product() (in module networkx.algorithms.operators.product)": [[609, "networkx.algorithms.operators.product.lexicographic_product"]], "power() (in module networkx.algorithms.operators.product)": [[610, "networkx.algorithms.operators.product.power"]], "rooted_product() (in module networkx.algorithms.operators.product)": [[611, "networkx.algorithms.operators.product.rooted_product"]], "strong_product() (in module networkx.algorithms.operators.product)": [[612, "networkx.algorithms.operators.product.strong_product"]], "tensor_product() (in module networkx.algorithms.operators.product)": [[613, "networkx.algorithms.operators.product.tensor_product"]], "complement() (in module networkx.algorithms.operators.unary)": [[614, "networkx.algorithms.operators.unary.complement"]], "reverse() (in module networkx.algorithms.operators.unary)": [[615, "networkx.algorithms.operators.unary.reverse"]], "combinatorial_embedding_to_pos() (in module networkx.algorithms.planar_drawing)": [[616, "networkx.algorithms.planar_drawing.combinatorial_embedding_to_pos"]], "planarembedding (class in networkx.algorithms.planarity)": [[617, "networkx.algorithms.planarity.PlanarEmbedding"]], "__init__() (planarembedding method)": [[617, "networkx.algorithms.planarity.PlanarEmbedding.__init__"]], "check_planarity() (in module networkx.algorithms.planarity)": [[618, "networkx.algorithms.planarity.check_planarity"]], "is_planar() (in module networkx.algorithms.planarity)": [[619, "networkx.algorithms.planarity.is_planar"]], "chromatic_polynomial() (in module networkx.algorithms.polynomials)": [[620, "networkx.algorithms.polynomials.chromatic_polynomial"]], "tutte_polynomial() (in module networkx.algorithms.polynomials)": [[621, "networkx.algorithms.polynomials.tutte_polynomial"]], "overall_reciprocity() (in module networkx.algorithms.reciprocity)": [[622, "networkx.algorithms.reciprocity.overall_reciprocity"]], "reciprocity() (in module networkx.algorithms.reciprocity)": [[623, "networkx.algorithms.reciprocity.reciprocity"]], "is_k_regular() (in module networkx.algorithms.regular)": [[624, "networkx.algorithms.regular.is_k_regular"]], "is_regular() (in module networkx.algorithms.regular)": [[625, "networkx.algorithms.regular.is_regular"]], "k_factor() (in module networkx.algorithms.regular)": [[626, "networkx.algorithms.regular.k_factor"]], "rich_club_coefficient() (in module networkx.algorithms.richclub)": [[627, "networkx.algorithms.richclub.rich_club_coefficient"]], "astar_path() (in module networkx.algorithms.shortest_paths.astar)": [[628, "networkx.algorithms.shortest_paths.astar.astar_path"]], "astar_path_length() (in module networkx.algorithms.shortest_paths.astar)": [[629, "networkx.algorithms.shortest_paths.astar.astar_path_length"]], "floyd_warshall() (in module networkx.algorithms.shortest_paths.dense)": [[630, "networkx.algorithms.shortest_paths.dense.floyd_warshall"]], "floyd_warshall_numpy() (in module networkx.algorithms.shortest_paths.dense)": [[631, "networkx.algorithms.shortest_paths.dense.floyd_warshall_numpy"]], "floyd_warshall_predecessor_and_distance() (in module networkx.algorithms.shortest_paths.dense)": [[632, "networkx.algorithms.shortest_paths.dense.floyd_warshall_predecessor_and_distance"]], "reconstruct_path() (in module networkx.algorithms.shortest_paths.dense)": [[633, "networkx.algorithms.shortest_paths.dense.reconstruct_path"]], "all_shortest_paths() (in module networkx.algorithms.shortest_paths.generic)": [[634, "networkx.algorithms.shortest_paths.generic.all_shortest_paths"]], "average_shortest_path_length() (in module networkx.algorithms.shortest_paths.generic)": [[635, "networkx.algorithms.shortest_paths.generic.average_shortest_path_length"]], "has_path() (in module networkx.algorithms.shortest_paths.generic)": [[636, "networkx.algorithms.shortest_paths.generic.has_path"]], "shortest_path() (in module networkx.algorithms.shortest_paths.generic)": [[637, "networkx.algorithms.shortest_paths.generic.shortest_path"]], "shortest_path_length() (in module networkx.algorithms.shortest_paths.generic)": [[638, "networkx.algorithms.shortest_paths.generic.shortest_path_length"]], "all_pairs_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[639, "networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path"]], "all_pairs_shortest_path_length() (in module networkx.algorithms.shortest_paths.unweighted)": [[640, "networkx.algorithms.shortest_paths.unweighted.all_pairs_shortest_path_length"]], "bidirectional_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[641, "networkx.algorithms.shortest_paths.unweighted.bidirectional_shortest_path"]], "predecessor() (in module networkx.algorithms.shortest_paths.unweighted)": [[642, "networkx.algorithms.shortest_paths.unweighted.predecessor"]], "single_source_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[643, "networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path"]], "single_source_shortest_path_length() (in module networkx.algorithms.shortest_paths.unweighted)": [[644, "networkx.algorithms.shortest_paths.unweighted.single_source_shortest_path_length"]], "single_target_shortest_path() (in module networkx.algorithms.shortest_paths.unweighted)": [[645, "networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path"]], "single_target_shortest_path_length() (in module networkx.algorithms.shortest_paths.unweighted)": [[646, "networkx.algorithms.shortest_paths.unweighted.single_target_shortest_path_length"]], "all_pairs_bellman_ford_path() (in module networkx.algorithms.shortest_paths.weighted)": [[647, "networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path"]], "all_pairs_bellman_ford_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[648, "networkx.algorithms.shortest_paths.weighted.all_pairs_bellman_ford_path_length"]], "all_pairs_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[649, "networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra"]], "all_pairs_dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[650, "networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path"]], "all_pairs_dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[651, "networkx.algorithms.shortest_paths.weighted.all_pairs_dijkstra_path_length"]], "bellman_ford_path() (in module networkx.algorithms.shortest_paths.weighted)": [[652, "networkx.algorithms.shortest_paths.weighted.bellman_ford_path"]], "bellman_ford_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[653, "networkx.algorithms.shortest_paths.weighted.bellman_ford_path_length"]], "bellman_ford_predecessor_and_distance() (in module networkx.algorithms.shortest_paths.weighted)": [[654, "networkx.algorithms.shortest_paths.weighted.bellman_ford_predecessor_and_distance"]], "bidirectional_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[655, "networkx.algorithms.shortest_paths.weighted.bidirectional_dijkstra"]], "dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[656, "networkx.algorithms.shortest_paths.weighted.dijkstra_path"]], "dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[657, "networkx.algorithms.shortest_paths.weighted.dijkstra_path_length"]], "dijkstra_predecessor_and_distance() (in module networkx.algorithms.shortest_paths.weighted)": [[658, "networkx.algorithms.shortest_paths.weighted.dijkstra_predecessor_and_distance"]], "find_negative_cycle() (in module networkx.algorithms.shortest_paths.weighted)": [[659, "networkx.algorithms.shortest_paths.weighted.find_negative_cycle"]], "goldberg_radzik() (in module networkx.algorithms.shortest_paths.weighted)": [[660, "networkx.algorithms.shortest_paths.weighted.goldberg_radzik"]], "johnson() (in module networkx.algorithms.shortest_paths.weighted)": [[661, "networkx.algorithms.shortest_paths.weighted.johnson"]], "multi_source_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[662, "networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra"]], "multi_source_dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[663, "networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path"]], "multi_source_dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[664, "networkx.algorithms.shortest_paths.weighted.multi_source_dijkstra_path_length"]], "negative_edge_cycle() (in module networkx.algorithms.shortest_paths.weighted)": [[665, "networkx.algorithms.shortest_paths.weighted.negative_edge_cycle"]], "single_source_bellman_ford() (in module networkx.algorithms.shortest_paths.weighted)": [[666, "networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford"]], "single_source_bellman_ford_path() (in module networkx.algorithms.shortest_paths.weighted)": [[667, "networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path"]], "single_source_bellman_ford_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[668, "networkx.algorithms.shortest_paths.weighted.single_source_bellman_ford_path_length"]], "single_source_dijkstra() (in module networkx.algorithms.shortest_paths.weighted)": [[669, "networkx.algorithms.shortest_paths.weighted.single_source_dijkstra"]], "single_source_dijkstra_path() (in module networkx.algorithms.shortest_paths.weighted)": [[670, "networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path"]], "single_source_dijkstra_path_length() (in module networkx.algorithms.shortest_paths.weighted)": [[671, "networkx.algorithms.shortest_paths.weighted.single_source_dijkstra_path_length"]], "generate_random_paths() (in module networkx.algorithms.similarity)": [[672, "networkx.algorithms.similarity.generate_random_paths"]], "graph_edit_distance() (in module networkx.algorithms.similarity)": [[673, "networkx.algorithms.similarity.graph_edit_distance"]], "optimal_edit_paths() (in module networkx.algorithms.similarity)": [[674, "networkx.algorithms.similarity.optimal_edit_paths"]], "optimize_edit_paths() (in module networkx.algorithms.similarity)": [[675, "networkx.algorithms.similarity.optimize_edit_paths"]], "optimize_graph_edit_distance() (in module networkx.algorithms.similarity)": [[676, "networkx.algorithms.similarity.optimize_graph_edit_distance"]], "panther_similarity() (in module networkx.algorithms.similarity)": [[677, "networkx.algorithms.similarity.panther_similarity"]], "simrank_similarity() (in module networkx.algorithms.similarity)": [[678, "networkx.algorithms.similarity.simrank_similarity"]], "all_simple_edge_paths() (in module networkx.algorithms.simple_paths)": [[679, "networkx.algorithms.simple_paths.all_simple_edge_paths"]], "all_simple_paths() (in module networkx.algorithms.simple_paths)": [[680, "networkx.algorithms.simple_paths.all_simple_paths"]], "is_simple_path() (in module networkx.algorithms.simple_paths)": [[681, "networkx.algorithms.simple_paths.is_simple_path"]], "shortest_simple_paths() (in module networkx.algorithms.simple_paths)": [[682, "networkx.algorithms.simple_paths.shortest_simple_paths"]], "lattice_reference() (in module networkx.algorithms.smallworld)": [[683, "networkx.algorithms.smallworld.lattice_reference"]], "omega() (in module networkx.algorithms.smallworld)": [[684, "networkx.algorithms.smallworld.omega"]], "random_reference() (in module networkx.algorithms.smallworld)": [[685, "networkx.algorithms.smallworld.random_reference"]], "sigma() (in module networkx.algorithms.smallworld)": [[686, "networkx.algorithms.smallworld.sigma"]], "s_metric() (in module networkx.algorithms.smetric)": [[687, "networkx.algorithms.smetric.s_metric"]], "spanner() (in module networkx.algorithms.sparsifiers)": [[688, "networkx.algorithms.sparsifiers.spanner"]], "constraint() (in module networkx.algorithms.structuralholes)": [[689, "networkx.algorithms.structuralholes.constraint"]], "effective_size() (in module networkx.algorithms.structuralholes)": [[690, "networkx.algorithms.structuralholes.effective_size"]], "local_constraint() (in module networkx.algorithms.structuralholes)": [[691, "networkx.algorithms.structuralholes.local_constraint"]], "dedensify() (in module networkx.algorithms.summarization)": [[692, "networkx.algorithms.summarization.dedensify"]], "snap_aggregation() (in module networkx.algorithms.summarization)": [[693, "networkx.algorithms.summarization.snap_aggregation"]], "connected_double_edge_swap() (in module networkx.algorithms.swap)": [[694, "networkx.algorithms.swap.connected_double_edge_swap"]], "directed_edge_swap() (in module networkx.algorithms.swap)": [[695, "networkx.algorithms.swap.directed_edge_swap"]], "double_edge_swap() (in module networkx.algorithms.swap)": [[696, "networkx.algorithms.swap.double_edge_swap"]], "find_threshold_graph() (in module networkx.algorithms.threshold)": [[697, "networkx.algorithms.threshold.find_threshold_graph"]], "is_threshold_graph() (in module networkx.algorithms.threshold)": [[698, "networkx.algorithms.threshold.is_threshold_graph"]], "hamiltonian_path() (in module networkx.algorithms.tournament)": [[699, "networkx.algorithms.tournament.hamiltonian_path"]], "is_reachable() (in module networkx.algorithms.tournament)": [[700, "networkx.algorithms.tournament.is_reachable"]], "is_strongly_connected() (in module networkx.algorithms.tournament)": [[701, "networkx.algorithms.tournament.is_strongly_connected"]], "is_tournament() (in module networkx.algorithms.tournament)": [[702, "networkx.algorithms.tournament.is_tournament"]], "random_tournament() (in module networkx.algorithms.tournament)": [[703, "networkx.algorithms.tournament.random_tournament"]], "score_sequence() (in module networkx.algorithms.tournament)": [[704, "networkx.algorithms.tournament.score_sequence"]], "bfs_beam_edges() (in module networkx.algorithms.traversal.beamsearch)": [[705, "networkx.algorithms.traversal.beamsearch.bfs_beam_edges"]], "bfs_edges() (in module networkx.algorithms.traversal.breadth_first_search)": [[706, "networkx.algorithms.traversal.breadth_first_search.bfs_edges"]], "bfs_layers() (in module networkx.algorithms.traversal.breadth_first_search)": [[707, "networkx.algorithms.traversal.breadth_first_search.bfs_layers"]], "bfs_predecessors() (in module networkx.algorithms.traversal.breadth_first_search)": [[708, "networkx.algorithms.traversal.breadth_first_search.bfs_predecessors"]], "bfs_successors() (in module networkx.algorithms.traversal.breadth_first_search)": [[709, "networkx.algorithms.traversal.breadth_first_search.bfs_successors"]], "bfs_tree() (in module networkx.algorithms.traversal.breadth_first_search)": [[710, "networkx.algorithms.traversal.breadth_first_search.bfs_tree"]], "descendants_at_distance() (in module networkx.algorithms.traversal.breadth_first_search)": [[711, "networkx.algorithms.traversal.breadth_first_search.descendants_at_distance"]], "dfs_edges() (in module networkx.algorithms.traversal.depth_first_search)": [[712, "networkx.algorithms.traversal.depth_first_search.dfs_edges"]], "dfs_labeled_edges() (in module networkx.algorithms.traversal.depth_first_search)": [[713, "networkx.algorithms.traversal.depth_first_search.dfs_labeled_edges"]], "dfs_postorder_nodes() (in module networkx.algorithms.traversal.depth_first_search)": [[714, "networkx.algorithms.traversal.depth_first_search.dfs_postorder_nodes"]], "dfs_predecessors() (in module networkx.algorithms.traversal.depth_first_search)": [[715, "networkx.algorithms.traversal.depth_first_search.dfs_predecessors"]], "dfs_preorder_nodes() (in module networkx.algorithms.traversal.depth_first_search)": [[716, "networkx.algorithms.traversal.depth_first_search.dfs_preorder_nodes"]], "dfs_successors() (in module networkx.algorithms.traversal.depth_first_search)": [[717, "networkx.algorithms.traversal.depth_first_search.dfs_successors"]], "dfs_tree() (in module networkx.algorithms.traversal.depth_first_search)": [[718, "networkx.algorithms.traversal.depth_first_search.dfs_tree"]], "edge_bfs() (in module networkx.algorithms.traversal.edgebfs)": [[719, "networkx.algorithms.traversal.edgebfs.edge_bfs"]], "edge_dfs() (in module networkx.algorithms.traversal.edgedfs)": [[720, "networkx.algorithms.traversal.edgedfs.edge_dfs"]], "arborescenceiterator (class in networkx.algorithms.tree.branchings)": [[721, "networkx.algorithms.tree.branchings.ArborescenceIterator"]], "__init__() (arborescenceiterator method)": [[721, "networkx.algorithms.tree.branchings.ArborescenceIterator.__init__"]], "edmonds (class in networkx.algorithms.tree.branchings)": [[722, "networkx.algorithms.tree.branchings.Edmonds"]], "__init__() (edmonds method)": [[722, "networkx.algorithms.tree.branchings.Edmonds.__init__"]], "branching_weight() (in module networkx.algorithms.tree.branchings)": [[723, "networkx.algorithms.tree.branchings.branching_weight"]], "greedy_branching() (in module networkx.algorithms.tree.branchings)": [[724, "networkx.algorithms.tree.branchings.greedy_branching"]], "maximum_branching() (in module networkx.algorithms.tree.branchings)": [[725, "networkx.algorithms.tree.branchings.maximum_branching"]], "maximum_spanning_arborescence() (in module networkx.algorithms.tree.branchings)": [[726, "networkx.algorithms.tree.branchings.maximum_spanning_arborescence"]], "minimum_branching() (in module networkx.algorithms.tree.branchings)": [[727, "networkx.algorithms.tree.branchings.minimum_branching"]], "minimum_spanning_arborescence() (in module networkx.algorithms.tree.branchings)": [[728, "networkx.algorithms.tree.branchings.minimum_spanning_arborescence"]], "notatree": [[729, "networkx.algorithms.tree.coding.NotATree"]], "from_nested_tuple() (in module networkx.algorithms.tree.coding)": [[730, "networkx.algorithms.tree.coding.from_nested_tuple"]], "from_prufer_sequence() (in module networkx.algorithms.tree.coding)": [[731, "networkx.algorithms.tree.coding.from_prufer_sequence"]], "to_nested_tuple() (in module networkx.algorithms.tree.coding)": [[732, "networkx.algorithms.tree.coding.to_nested_tuple"]], "to_prufer_sequence() (in module networkx.algorithms.tree.coding)": [[733, "networkx.algorithms.tree.coding.to_prufer_sequence"]], "junction_tree() (in module networkx.algorithms.tree.decomposition)": [[734, "networkx.algorithms.tree.decomposition.junction_tree"]], "spanningtreeiterator (class in networkx.algorithms.tree.mst)": [[735, "networkx.algorithms.tree.mst.SpanningTreeIterator"]], "__init__() (spanningtreeiterator method)": [[735, "networkx.algorithms.tree.mst.SpanningTreeIterator.__init__"]], "maximum_spanning_edges() (in module networkx.algorithms.tree.mst)": [[736, "networkx.algorithms.tree.mst.maximum_spanning_edges"]], "maximum_spanning_tree() (in module networkx.algorithms.tree.mst)": [[737, "networkx.algorithms.tree.mst.maximum_spanning_tree"]], "minimum_spanning_edges() (in module networkx.algorithms.tree.mst)": [[738, "networkx.algorithms.tree.mst.minimum_spanning_edges"]], "minimum_spanning_tree() (in module networkx.algorithms.tree.mst)": [[739, "networkx.algorithms.tree.mst.minimum_spanning_tree"]], "random_spanning_tree() (in module networkx.algorithms.tree.mst)": [[740, "networkx.algorithms.tree.mst.random_spanning_tree"]], "join() (in module networkx.algorithms.tree.operations)": [[741, "networkx.algorithms.tree.operations.join"]], "is_arborescence() (in module networkx.algorithms.tree.recognition)": [[742, "networkx.algorithms.tree.recognition.is_arborescence"]], "is_branching() (in module networkx.algorithms.tree.recognition)": [[743, "networkx.algorithms.tree.recognition.is_branching"]], "is_forest() (in module networkx.algorithms.tree.recognition)": [[744, "networkx.algorithms.tree.recognition.is_forest"]], "is_tree() (in module networkx.algorithms.tree.recognition)": [[745, "networkx.algorithms.tree.recognition.is_tree"]], "all_triads() (in module networkx.algorithms.triads)": [[746, "networkx.algorithms.triads.all_triads"]], "all_triplets() (in module networkx.algorithms.triads)": [[747, "networkx.algorithms.triads.all_triplets"]], "is_triad() (in module networkx.algorithms.triads)": [[748, "networkx.algorithms.triads.is_triad"]], "random_triad() (in module networkx.algorithms.triads)": [[749, "networkx.algorithms.triads.random_triad"]], "triad_type() (in module networkx.algorithms.triads)": [[750, "networkx.algorithms.triads.triad_type"]], "triadic_census() (in module networkx.algorithms.triads)": [[751, "networkx.algorithms.triads.triadic_census"]], "triads_by_type() (in module networkx.algorithms.triads)": [[752, "networkx.algorithms.triads.triads_by_type"]], "closeness_vitality() (in module networkx.algorithms.vitality)": [[753, "networkx.algorithms.vitality.closeness_vitality"]], "voronoi_cells() (in module networkx.algorithms.voronoi)": [[754, "networkx.algorithms.voronoi.voronoi_cells"]], "wiener_index() (in module networkx.algorithms.wiener)": [[755, "networkx.algorithms.wiener.wiener_index"]], "networkx.algorithms.graph_hashing": [[756, "module-networkx.algorithms.graph_hashing"]], "networkx.algorithms.graphical": [[757, "module-networkx.algorithms.graphical"]], "networkx.algorithms.hierarchy": [[758, "module-networkx.algorithms.hierarchy"]], "networkx.algorithms.hybrid": [[759, "module-networkx.algorithms.hybrid"]], "networkx.algorithms.isolate": [[761, "module-networkx.algorithms.isolate"]], "networkx.algorithms.isomorphism": [[762, "module-networkx.algorithms.isomorphism"]], "networkx.algorithms.isomorphism.tree_isomorphism": [[762, "module-networkx.algorithms.isomorphism.tree_isomorphism"]], "networkx.algorithms.isomorphism.vf2pp": [[762, "module-networkx.algorithms.isomorphism.vf2pp"]], "networkx.algorithms.isomorphism.ismags": [[763, "module-networkx.algorithms.isomorphism.ismags"]], "networkx.algorithms.isomorphism.isomorphvf2": [[764, "module-networkx.algorithms.isomorphism.isomorphvf2"]], "networkx.algorithms.link_analysis.hits_alg": [[765, "module-networkx.algorithms.link_analysis.hits_alg"]], "networkx.algorithms.link_analysis.pagerank_alg": [[765, "module-networkx.algorithms.link_analysis.pagerank_alg"]], "networkx.algorithms.link_prediction": [[766, "module-networkx.algorithms.link_prediction"]], "networkx.algorithms.lowest_common_ancestors": [[767, "module-networkx.algorithms.lowest_common_ancestors"]], "networkx.algorithms.matching": [[768, "module-networkx.algorithms.matching"]], "networkx.algorithms.minors": [[769, "module-networkx.algorithms.minors"]], "networkx.algorithms.mis": [[770, "module-networkx.algorithms.mis"]], "networkx.algorithms.moral": [[771, "module-networkx.algorithms.moral"]], "networkx.algorithms.node_classification": [[772, "module-networkx.algorithms.node_classification"]], "networkx.algorithms.non_randomness": [[773, "module-networkx.algorithms.non_randomness"]], "networkx.algorithms.operators.all": [[774, "module-networkx.algorithms.operators.all"]], "networkx.algorithms.operators.binary": [[774, "module-networkx.algorithms.operators.binary"]], "networkx.algorithms.operators.product": [[774, "module-networkx.algorithms.operators.product"]], "networkx.algorithms.operators.unary": [[774, "module-networkx.algorithms.operators.unary"]], "networkx.algorithms.planar_drawing": [[775, "module-networkx.algorithms.planar_drawing"]], "networkx.algorithms.planarity": [[776, "module-networkx.algorithms.planarity"]], "networkx.algorithms.polynomials": [[777, "module-networkx.algorithms.polynomials"]], "networkx.algorithms.reciprocity": [[778, "module-networkx.algorithms.reciprocity"]], "networkx.algorithms.regular": [[779, "module-networkx.algorithms.regular"]], "networkx.algorithms.richclub": [[780, "module-networkx.algorithms.richclub"]], "networkx.algorithms.shortest_paths.astar": [[781, "module-networkx.algorithms.shortest_paths.astar"]], "networkx.algorithms.shortest_paths.dense": [[781, "module-networkx.algorithms.shortest_paths.dense"]], "networkx.algorithms.shortest_paths.generic": [[781, "module-networkx.algorithms.shortest_paths.generic"]], "networkx.algorithms.shortest_paths.unweighted": [[781, "module-networkx.algorithms.shortest_paths.unweighted"]], "networkx.algorithms.shortest_paths.weighted": [[781, "module-networkx.algorithms.shortest_paths.weighted"]], "networkx.algorithms.similarity": [[782, "module-networkx.algorithms.similarity"]], "networkx.algorithms.simple_paths": [[783, "module-networkx.algorithms.simple_paths"]], "networkx.algorithms.smallworld": [[784, "module-networkx.algorithms.smallworld"]], "networkx.algorithms.smetric": [[785, "module-networkx.algorithms.smetric"]], "networkx.algorithms.sparsifiers": [[786, "module-networkx.algorithms.sparsifiers"]], "networkx.algorithms.structuralholes": [[787, "module-networkx.algorithms.structuralholes"]], "networkx.algorithms.summarization": [[788, "module-networkx.algorithms.summarization"]], "networkx.algorithms.swap": [[789, "module-networkx.algorithms.swap"]], "networkx.algorithms.threshold": [[790, "module-networkx.algorithms.threshold"]], "networkx.algorithms.tournament": [[791, "module-networkx.algorithms.tournament"]], "networkx.algorithms.traversal.beamsearch": [[792, "module-networkx.algorithms.traversal.beamsearch"]], "networkx.algorithms.traversal.breadth_first_search": [[792, "module-networkx.algorithms.traversal.breadth_first_search"]], "networkx.algorithms.traversal.depth_first_search": [[792, "module-networkx.algorithms.traversal.depth_first_search"]], "networkx.algorithms.traversal.edgebfs": [[792, "module-networkx.algorithms.traversal.edgebfs"]], "networkx.algorithms.traversal.edgedfs": [[792, "module-networkx.algorithms.traversal.edgedfs"]], "networkx.algorithms.tree.branchings": [[793, "module-networkx.algorithms.tree.branchings"]], "networkx.algorithms.tree.coding": [[793, "module-networkx.algorithms.tree.coding"]], "networkx.algorithms.tree.decomposition": [[793, "module-networkx.algorithms.tree.decomposition"]], "networkx.algorithms.tree.mst": [[793, "module-networkx.algorithms.tree.mst"]], "networkx.algorithms.tree.operations": [[793, "module-networkx.algorithms.tree.operations"]], "networkx.algorithms.tree.recognition": [[793, "module-networkx.algorithms.tree.recognition"]], "networkx.algorithms.triads": [[794, "module-networkx.algorithms.triads"]], "networkx.algorithms.vitality": [[795, "module-networkx.algorithms.vitality"]], "networkx.algorithms.voronoi": [[796, "module-networkx.algorithms.voronoi"]], "networkx.algorithms.wiener": [[797, "module-networkx.algorithms.wiener"]], "digraph (class in networkx)": [[798, "networkx.DiGraph"]], "copy() (adjacencyview method)": [[799, "networkx.classes.coreviews.AdjacencyView.copy"]], "get() (adjacencyview method)": [[800, "networkx.classes.coreviews.AdjacencyView.get"]], "items() (adjacencyview method)": [[801, "networkx.classes.coreviews.AdjacencyView.items"]], "keys() (adjacencyview method)": [[802, "networkx.classes.coreviews.AdjacencyView.keys"]], "values() (adjacencyview method)": [[803, "networkx.classes.coreviews.AdjacencyView.values"]], "copy() (atlasview method)": [[804, "networkx.classes.coreviews.AtlasView.copy"]], "get() (atlasview method)": [[805, "networkx.classes.coreviews.AtlasView.get"]], "items() (atlasview method)": [[806, "networkx.classes.coreviews.AtlasView.items"]], "keys() (atlasview method)": [[807, "networkx.classes.coreviews.AtlasView.keys"]], "values() (atlasview method)": [[808, "networkx.classes.coreviews.AtlasView.values"]], "get() (filteradjacency method)": [[809, "networkx.classes.coreviews.FilterAdjacency.get"]], "items() (filteradjacency method)": [[810, "networkx.classes.coreviews.FilterAdjacency.items"]], "keys() (filteradjacency method)": [[811, "networkx.classes.coreviews.FilterAdjacency.keys"]], "values() (filteradjacency method)": [[812, "networkx.classes.coreviews.FilterAdjacency.values"]], "get() (filteratlas method)": [[813, "networkx.classes.coreviews.FilterAtlas.get"]], "items() (filteratlas method)": [[814, "networkx.classes.coreviews.FilterAtlas.items"]], "keys() (filteratlas method)": [[815, "networkx.classes.coreviews.FilterAtlas.keys"]], "values() (filteratlas method)": [[816, "networkx.classes.coreviews.FilterAtlas.values"]], "get() (filtermultiadjacency method)": [[817, "networkx.classes.coreviews.FilterMultiAdjacency.get"]], "items() (filtermultiadjacency method)": [[818, "networkx.classes.coreviews.FilterMultiAdjacency.items"]], "keys() (filtermultiadjacency method)": [[819, "networkx.classes.coreviews.FilterMultiAdjacency.keys"]], "values() (filtermultiadjacency method)": [[820, "networkx.classes.coreviews.FilterMultiAdjacency.values"]], "get() (filtermultiinner method)": [[821, "networkx.classes.coreviews.FilterMultiInner.get"]], "items() (filtermultiinner method)": [[822, "networkx.classes.coreviews.FilterMultiInner.items"]], "keys() (filtermultiinner method)": [[823, "networkx.classes.coreviews.FilterMultiInner.keys"]], "values() (filtermultiinner method)": [[824, "networkx.classes.coreviews.FilterMultiInner.values"]], "copy() (multiadjacencyview method)": [[825, "networkx.classes.coreviews.MultiAdjacencyView.copy"]], "get() (multiadjacencyview method)": [[826, "networkx.classes.coreviews.MultiAdjacencyView.get"]], "items() (multiadjacencyview method)": [[827, "networkx.classes.coreviews.MultiAdjacencyView.items"]], "keys() (multiadjacencyview method)": [[828, "networkx.classes.coreviews.MultiAdjacencyView.keys"]], "values() (multiadjacencyview method)": [[829, "networkx.classes.coreviews.MultiAdjacencyView.values"]], "copy() (unionadjacency method)": [[830, "networkx.classes.coreviews.UnionAdjacency.copy"]], "get() (unionadjacency method)": [[831, "networkx.classes.coreviews.UnionAdjacency.get"]], "items() (unionadjacency method)": [[832, "networkx.classes.coreviews.UnionAdjacency.items"]], "keys() (unionadjacency method)": [[833, "networkx.classes.coreviews.UnionAdjacency.keys"]], "values() (unionadjacency method)": [[834, "networkx.classes.coreviews.UnionAdjacency.values"]], "copy() (unionatlas method)": [[835, "networkx.classes.coreviews.UnionAtlas.copy"]], "get() (unionatlas method)": [[836, "networkx.classes.coreviews.UnionAtlas.get"]], "items() (unionatlas method)": [[837, "networkx.classes.coreviews.UnionAtlas.items"]], "keys() (unionatlas method)": [[838, "networkx.classes.coreviews.UnionAtlas.keys"]], "values() (unionatlas method)": [[839, "networkx.classes.coreviews.UnionAtlas.values"]], "copy() (unionmultiadjacency method)": [[840, "networkx.classes.coreviews.UnionMultiAdjacency.copy"]], "get() (unionmultiadjacency method)": [[841, "networkx.classes.coreviews.UnionMultiAdjacency.get"]], "items() (unionmultiadjacency method)": [[842, "networkx.classes.coreviews.UnionMultiAdjacency.items"]], "keys() (unionmultiadjacency method)": [[843, "networkx.classes.coreviews.UnionMultiAdjacency.keys"]], "values() (unionmultiadjacency method)": [[844, "networkx.classes.coreviews.UnionMultiAdjacency.values"]], "copy() (unionmultiinner method)": [[845, "networkx.classes.coreviews.UnionMultiInner.copy"]], "get() (unionmultiinner method)": [[846, "networkx.classes.coreviews.UnionMultiInner.get"]], "items() (unionmultiinner method)": [[847, "networkx.classes.coreviews.UnionMultiInner.items"]], "keys() (unionmultiinner method)": [[848, "networkx.classes.coreviews.UnionMultiInner.keys"]], "values() (unionmultiinner method)": [[849, "networkx.classes.coreviews.UnionMultiInner.values"]], "__contains__() (digraph method)": [[850, "networkx.DiGraph.__contains__"]], "__getitem__() (digraph method)": [[851, "networkx.DiGraph.__getitem__"]], "__init__() (digraph method)": [[852, "networkx.DiGraph.__init__"]], "__iter__() (digraph method)": [[853, "networkx.DiGraph.__iter__"]], "__len__() (digraph method)": [[854, "networkx.DiGraph.__len__"]], "add_edge() (digraph method)": [[855, "networkx.DiGraph.add_edge"]], "add_edges_from() (digraph method)": [[856, "networkx.DiGraph.add_edges_from"]], "add_node() (digraph method)": [[857, "networkx.DiGraph.add_node"]], "add_nodes_from() (digraph method)": [[858, "networkx.DiGraph.add_nodes_from"]], "add_weighted_edges_from() (digraph method)": [[859, "networkx.DiGraph.add_weighted_edges_from"]], "adj (digraph property)": [[860, "networkx.DiGraph.adj"]], "adjacency() (digraph method)": [[861, "networkx.DiGraph.adjacency"]], "clear() (digraph method)": [[862, "networkx.DiGraph.clear"]], "clear_edges() (digraph method)": [[863, "networkx.DiGraph.clear_edges"]], "copy() (digraph method)": [[864, "networkx.DiGraph.copy"]], "degree (digraph property)": [[865, "networkx.DiGraph.degree"]], "edge_subgraph() (digraph method)": [[866, "networkx.DiGraph.edge_subgraph"]], "edges (digraph property)": [[867, "networkx.DiGraph.edges"]], "get_edge_data() (digraph method)": [[868, "networkx.DiGraph.get_edge_data"]], "has_edge() (digraph method)": [[869, "networkx.DiGraph.has_edge"]], "has_node() (digraph method)": [[870, "networkx.DiGraph.has_node"]], "in_degree (digraph property)": [[871, "networkx.DiGraph.in_degree"]], "in_edges (digraph property)": [[872, "networkx.DiGraph.in_edges"]], "nbunch_iter() (digraph method)": [[873, "networkx.DiGraph.nbunch_iter"]], "neighbors() (digraph method)": [[874, "networkx.DiGraph.neighbors"]], "nodes (digraph property)": [[875, "networkx.DiGraph.nodes"]], "number_of_edges() (digraph method)": [[876, "networkx.DiGraph.number_of_edges"]], "number_of_nodes() (digraph method)": [[877, "networkx.DiGraph.number_of_nodes"]], "order() (digraph method)": [[878, "networkx.DiGraph.order"]], "out_degree (digraph property)": [[879, "networkx.DiGraph.out_degree"]], "out_edges (digraph property)": [[880, "networkx.DiGraph.out_edges"]], "pred (digraph property)": [[881, "networkx.DiGraph.pred"]], "predecessors() (digraph method)": [[882, "networkx.DiGraph.predecessors"]], "remove_edge() (digraph method)": [[883, "networkx.DiGraph.remove_edge"]], "remove_edges_from() (digraph method)": [[884, "networkx.DiGraph.remove_edges_from"]], "remove_node() (digraph method)": [[885, "networkx.DiGraph.remove_node"]], "remove_nodes_from() (digraph method)": [[886, "networkx.DiGraph.remove_nodes_from"]], "reverse() (digraph method)": [[887, "networkx.DiGraph.reverse"]], "size() (digraph method)": [[888, "networkx.DiGraph.size"]], "subgraph() (digraph method)": [[889, "networkx.DiGraph.subgraph"]], "succ (digraph property)": [[890, "networkx.DiGraph.succ"]], "successors() (digraph method)": [[891, "networkx.DiGraph.successors"]], "to_directed() (digraph method)": [[892, "networkx.DiGraph.to_directed"]], "to_undirected() (digraph method)": [[893, "networkx.DiGraph.to_undirected"]], "update() (digraph method)": [[894, "networkx.DiGraph.update"]], "__contains__() (graph method)": [[895, "networkx.Graph.__contains__"]], "__getitem__() (graph method)": [[896, "networkx.Graph.__getitem__"]], "__init__() (graph method)": [[897, "networkx.Graph.__init__"]], "__iter__() (graph method)": [[898, "networkx.Graph.__iter__"]], "__len__() (graph method)": [[899, "networkx.Graph.__len__"]], "add_edge() (graph method)": [[900, "networkx.Graph.add_edge"]], "add_edges_from() (graph method)": [[901, "networkx.Graph.add_edges_from"]], "add_node() (graph method)": [[902, "networkx.Graph.add_node"]], "add_nodes_from() (graph method)": [[903, "networkx.Graph.add_nodes_from"]], "add_weighted_edges_from() (graph method)": [[904, "networkx.Graph.add_weighted_edges_from"]], "adj (graph property)": [[905, "networkx.Graph.adj"]], "adjacency() (graph method)": [[906, "networkx.Graph.adjacency"]], "clear() (graph method)": [[907, "networkx.Graph.clear"]], "clear_edges() (graph method)": [[908, "networkx.Graph.clear_edges"]], "copy() (graph method)": [[909, "networkx.Graph.copy"]], "degree (graph property)": [[910, "networkx.Graph.degree"]], "edge_subgraph() (graph method)": [[911, "networkx.Graph.edge_subgraph"]], "edges (graph property)": [[912, "networkx.Graph.edges"]], "get_edge_data() (graph method)": [[913, "networkx.Graph.get_edge_data"]], "has_edge() (graph method)": [[914, "networkx.Graph.has_edge"]], "has_node() (graph method)": [[915, "networkx.Graph.has_node"]], "nbunch_iter() (graph method)": [[916, "networkx.Graph.nbunch_iter"]], "neighbors() (graph method)": [[917, "networkx.Graph.neighbors"]], "nodes (graph property)": [[918, "networkx.Graph.nodes"]], "number_of_edges() (graph method)": [[919, "networkx.Graph.number_of_edges"]], "number_of_nodes() (graph method)": [[920, "networkx.Graph.number_of_nodes"]], "order() (graph method)": [[921, "networkx.Graph.order"]], "remove_edge() (graph method)": [[922, "networkx.Graph.remove_edge"]], "remove_edges_from() (graph method)": [[923, "networkx.Graph.remove_edges_from"]], "remove_node() (graph method)": [[924, "networkx.Graph.remove_node"]], "remove_nodes_from() (graph method)": [[925, "networkx.Graph.remove_nodes_from"]], "size() (graph method)": [[926, "networkx.Graph.size"]], "subgraph() (graph method)": [[927, "networkx.Graph.subgraph"]], "to_directed() (graph method)": [[928, "networkx.Graph.to_directed"]], "to_undirected() (graph method)": [[929, "networkx.Graph.to_undirected"]], "update() (graph method)": [[930, "networkx.Graph.update"]], "__contains__() (multidigraph method)": [[931, "networkx.MultiDiGraph.__contains__"]], "__getitem__() (multidigraph method)": [[932, "networkx.MultiDiGraph.__getitem__"]], "__init__() (multidigraph method)": [[933, "networkx.MultiDiGraph.__init__"]], "__iter__() (multidigraph method)": [[934, "networkx.MultiDiGraph.__iter__"]], "__len__() (multidigraph method)": [[935, "networkx.MultiDiGraph.__len__"]], "add_edge() (multidigraph method)": [[936, "networkx.MultiDiGraph.add_edge"]], "add_edges_from() (multidigraph method)": [[937, "networkx.MultiDiGraph.add_edges_from"]], "add_node() (multidigraph method)": [[938, "networkx.MultiDiGraph.add_node"]], "add_nodes_from() (multidigraph method)": [[939, "networkx.MultiDiGraph.add_nodes_from"]], "add_weighted_edges_from() (multidigraph method)": [[940, "networkx.MultiDiGraph.add_weighted_edges_from"]], "adj (multidigraph property)": [[941, "networkx.MultiDiGraph.adj"]], "adjacency() (multidigraph method)": [[942, "networkx.MultiDiGraph.adjacency"]], "clear() (multidigraph method)": [[943, "networkx.MultiDiGraph.clear"]], "clear_edges() (multidigraph method)": [[944, "networkx.MultiDiGraph.clear_edges"]], "copy() (multidigraph method)": [[945, "networkx.MultiDiGraph.copy"]], "degree (multidigraph property)": [[946, "networkx.MultiDiGraph.degree"]], "edge_subgraph() (multidigraph method)": [[947, "networkx.MultiDiGraph.edge_subgraph"]], "edges (multidigraph property)": [[948, "networkx.MultiDiGraph.edges"]], "get_edge_data() (multidigraph method)": [[949, "networkx.MultiDiGraph.get_edge_data"]], "has_edge() (multidigraph method)": [[950, "networkx.MultiDiGraph.has_edge"]], "has_node() (multidigraph method)": [[951, "networkx.MultiDiGraph.has_node"]], "in_degree (multidigraph property)": [[952, "networkx.MultiDiGraph.in_degree"]], "in_edges (multidigraph property)": [[953, "networkx.MultiDiGraph.in_edges"]], "nbunch_iter() (multidigraph method)": [[954, "networkx.MultiDiGraph.nbunch_iter"]], "neighbors() (multidigraph method)": [[955, "networkx.MultiDiGraph.neighbors"]], "new_edge_key() (multidigraph method)": [[956, "networkx.MultiDiGraph.new_edge_key"]], "nodes (multidigraph property)": [[957, "networkx.MultiDiGraph.nodes"]], "number_of_edges() (multidigraph method)": [[958, "networkx.MultiDiGraph.number_of_edges"]], "number_of_nodes() (multidigraph method)": [[959, "networkx.MultiDiGraph.number_of_nodes"]], "order() (multidigraph method)": [[960, "networkx.MultiDiGraph.order"]], "out_degree (multidigraph property)": [[961, "networkx.MultiDiGraph.out_degree"]], "out_edges (multidigraph property)": [[962, "networkx.MultiDiGraph.out_edges"]], "pred (multidigraph property)": [[963, "networkx.MultiDiGraph.pred"]], "predecessors() (multidigraph method)": [[964, "networkx.MultiDiGraph.predecessors"]], "remove_edge() (multidigraph method)": [[965, "networkx.MultiDiGraph.remove_edge"]], "remove_edges_from() (multidigraph method)": [[966, "networkx.MultiDiGraph.remove_edges_from"]], "remove_node() (multidigraph method)": [[967, "networkx.MultiDiGraph.remove_node"]], "remove_nodes_from() (multidigraph method)": [[968, "networkx.MultiDiGraph.remove_nodes_from"]], "reverse() (multidigraph method)": [[969, "networkx.MultiDiGraph.reverse"]], "size() (multidigraph method)": [[970, "networkx.MultiDiGraph.size"]], "subgraph() (multidigraph method)": [[971, "networkx.MultiDiGraph.subgraph"]], "succ (multidigraph property)": [[972, "networkx.MultiDiGraph.succ"]], "successors() (multidigraph method)": [[973, "networkx.MultiDiGraph.successors"]], "to_directed() (multidigraph method)": [[974, "networkx.MultiDiGraph.to_directed"]], "to_undirected() (multidigraph method)": [[975, "networkx.MultiDiGraph.to_undirected"]], "update() (multidigraph method)": [[976, "networkx.MultiDiGraph.update"]], "__contains__() (multigraph method)": [[977, "networkx.MultiGraph.__contains__"]], "__getitem__() (multigraph method)": [[978, "networkx.MultiGraph.__getitem__"]], "__init__() (multigraph method)": [[979, "networkx.MultiGraph.__init__"]], "__iter__() (multigraph method)": [[980, "networkx.MultiGraph.__iter__"]], "__len__() (multigraph method)": [[981, "networkx.MultiGraph.__len__"]], "add_edge() (multigraph method)": [[982, "networkx.MultiGraph.add_edge"]], "add_edges_from() (multigraph method)": [[983, "networkx.MultiGraph.add_edges_from"]], "add_node() (multigraph method)": [[984, "networkx.MultiGraph.add_node"]], "add_nodes_from() (multigraph method)": [[985, "networkx.MultiGraph.add_nodes_from"]], "add_weighted_edges_from() (multigraph method)": [[986, "networkx.MultiGraph.add_weighted_edges_from"]], "adj (multigraph property)": [[987, "networkx.MultiGraph.adj"]], "adjacency() (multigraph method)": [[988, "networkx.MultiGraph.adjacency"]], "clear() (multigraph method)": [[989, "networkx.MultiGraph.clear"]], "clear_edges() (multigraph method)": [[990, "networkx.MultiGraph.clear_edges"]], "copy() (multigraph method)": [[991, "networkx.MultiGraph.copy"]], "degree (multigraph property)": [[992, "networkx.MultiGraph.degree"]], "edge_subgraph() (multigraph method)": [[993, "networkx.MultiGraph.edge_subgraph"]], "edges (multigraph property)": [[994, "networkx.MultiGraph.edges"]], "get_edge_data() (multigraph method)": [[995, "networkx.MultiGraph.get_edge_data"]], "has_edge() (multigraph method)": [[996, "networkx.MultiGraph.has_edge"]], "has_node() (multigraph method)": [[997, "networkx.MultiGraph.has_node"]], "nbunch_iter() (multigraph method)": [[998, "networkx.MultiGraph.nbunch_iter"]], "neighbors() (multigraph method)": [[999, "networkx.MultiGraph.neighbors"]], "new_edge_key() (multigraph method)": [[1000, "networkx.MultiGraph.new_edge_key"]], "nodes (multigraph property)": [[1001, "networkx.MultiGraph.nodes"]], "number_of_edges() (multigraph method)": [[1002, "networkx.MultiGraph.number_of_edges"]], "number_of_nodes() (multigraph method)": [[1003, "networkx.MultiGraph.number_of_nodes"]], "order() (multigraph method)": [[1004, "networkx.MultiGraph.order"]], "remove_edge() (multigraph method)": [[1005, "networkx.MultiGraph.remove_edge"]], "remove_edges_from() (multigraph method)": [[1006, "networkx.MultiGraph.remove_edges_from"]], "remove_node() (multigraph method)": [[1007, "networkx.MultiGraph.remove_node"]], "remove_nodes_from() (multigraph method)": [[1008, "networkx.MultiGraph.remove_nodes_from"]], "size() (multigraph method)": [[1009, "networkx.MultiGraph.size"]], "subgraph() (multigraph method)": [[1010, "networkx.MultiGraph.subgraph"]], "to_directed() (multigraph method)": [[1011, "networkx.MultiGraph.to_directed"]], "to_undirected() (multigraph method)": [[1012, "networkx.MultiGraph.to_undirected"]], "update() (multigraph method)": [[1013, "networkx.MultiGraph.update"]], "_dispatch() (in module networkx.classes.backends)": [[1014, "networkx.classes.backends._dispatch"]], "adjacencyview (class in networkx.classes.coreviews)": [[1015, "networkx.classes.coreviews.AdjacencyView"]], "__init__() (adjacencyview method)": [[1015, "networkx.classes.coreviews.AdjacencyView.__init__"]], "atlasview (class in networkx.classes.coreviews)": [[1016, "networkx.classes.coreviews.AtlasView"]], "__init__() (atlasview method)": [[1016, "networkx.classes.coreviews.AtlasView.__init__"]], "filteradjacency (class in networkx.classes.coreviews)": [[1017, "networkx.classes.coreviews.FilterAdjacency"]], "__init__() (filteradjacency method)": [[1017, "networkx.classes.coreviews.FilterAdjacency.__init__"]], "filteratlas (class in networkx.classes.coreviews)": [[1018, "networkx.classes.coreviews.FilterAtlas"]], "__init__() (filteratlas method)": [[1018, "networkx.classes.coreviews.FilterAtlas.__init__"]], "filtermultiadjacency (class in networkx.classes.coreviews)": [[1019, "networkx.classes.coreviews.FilterMultiAdjacency"]], "__init__() (filtermultiadjacency method)": [[1019, "networkx.classes.coreviews.FilterMultiAdjacency.__init__"]], "filtermultiinner (class in networkx.classes.coreviews)": [[1020, "networkx.classes.coreviews.FilterMultiInner"]], "__init__() (filtermultiinner method)": [[1020, "networkx.classes.coreviews.FilterMultiInner.__init__"]], "multiadjacencyview (class in networkx.classes.coreviews)": [[1021, "networkx.classes.coreviews.MultiAdjacencyView"]], "__init__() (multiadjacencyview method)": [[1021, "networkx.classes.coreviews.MultiAdjacencyView.__init__"]], "unionadjacency (class in networkx.classes.coreviews)": [[1022, "networkx.classes.coreviews.UnionAdjacency"]], "__init__() (unionadjacency method)": [[1022, "networkx.classes.coreviews.UnionAdjacency.__init__"]], "unionatlas (class in networkx.classes.coreviews)": [[1023, "networkx.classes.coreviews.UnionAtlas"]], "__init__() (unionatlas method)": [[1023, "networkx.classes.coreviews.UnionAtlas.__init__"]], "unionmultiadjacency (class in networkx.classes.coreviews)": [[1024, "networkx.classes.coreviews.UnionMultiAdjacency"]], "__init__() (unionmultiadjacency method)": [[1024, "networkx.classes.coreviews.UnionMultiAdjacency.__init__"]], "unionmultiinner (class in networkx.classes.coreviews)": [[1025, "networkx.classes.coreviews.UnionMultiInner"]], "__init__() (unionmultiinner method)": [[1025, "networkx.classes.coreviews.UnionMultiInner.__init__"]], "hide_diedges() (in module networkx.classes.filters)": [[1026, "networkx.classes.filters.hide_diedges"]], "hide_edges() (in module networkx.classes.filters)": [[1027, "networkx.classes.filters.hide_edges"]], "hide_multidiedges() (in module networkx.classes.filters)": [[1028, "networkx.classes.filters.hide_multidiedges"]], "hide_multiedges() (in module networkx.classes.filters)": [[1029, "networkx.classes.filters.hide_multiedges"]], "hide_nodes() (in module networkx.classes.filters)": [[1030, "networkx.classes.filters.hide_nodes"]], "no_filter() (in module networkx.classes.filters)": [[1031, "networkx.classes.filters.no_filter"]], "show_diedges() (in module networkx.classes.filters)": [[1032, "networkx.classes.filters.show_diedges"]], "show_edges() (in module networkx.classes.filters)": [[1033, "networkx.classes.filters.show_edges"]], "show_multidiedges() (in module networkx.classes.filters)": [[1034, "networkx.classes.filters.show_multidiedges"]], "show_multiedges() (in module networkx.classes.filters)": [[1035, "networkx.classes.filters.show_multiedges"]], "__init__() (show_nodes method)": [[1036, "networkx.classes.filters.show_nodes.__init__"]], "show_nodes (class in networkx.classes.filters)": [[1036, "networkx.classes.filters.show_nodes"]], "generic_graph_view() (in module networkx.classes.graphviews)": [[1037, "networkx.classes.graphviews.generic_graph_view"]], "reverse_view() (in module networkx.classes.graphviews)": [[1038, "networkx.classes.graphviews.reverse_view"]], "subgraph_view() (in module networkx.classes.graphviews)": [[1039, "networkx.classes.graphviews.subgraph_view"]], "graph (class in networkx)": [[1040, "networkx.Graph"]], "networkx.classes.backends": [[1041, "module-networkx.classes.backends"]], "networkx.classes.coreviews": [[1041, "module-networkx.classes.coreviews"]], "networkx.classes.filters": [[1041, "module-networkx.classes.filters"]], "networkx.classes.graphviews": [[1041, "module-networkx.classes.graphviews"]], "multidigraph (class in networkx)": [[1042, "networkx.MultiDiGraph"]], "multigraph (class in networkx)": [[1043, "networkx.MultiGraph"]], "networkx.convert": [[1044, "module-networkx.convert"]], "networkx.convert_matrix": [[1044, "module-networkx.convert_matrix"]], "networkx.drawing.layout": [[1045, "module-networkx.drawing.layout"]], "networkx.drawing.nx_agraph": [[1045, "module-networkx.drawing.nx_agraph"]], "networkx.drawing.nx_latex": [[1045, "module-networkx.drawing.nx_latex"]], "networkx.drawing.nx_pydot": [[1045, "module-networkx.drawing.nx_pydot"]], "networkx.drawing.nx_pylab": [[1045, "module-networkx.drawing.nx_pylab"]], "ambiguoussolution (class in networkx)": [[1046, "networkx.AmbiguousSolution"]], "exceededmaxiterations (class in networkx)": [[1046, "networkx.ExceededMaxIterations"]], "hasacycle (class in networkx)": [[1046, "networkx.HasACycle"]], "networkxalgorithmerror (class in networkx)": [[1046, "networkx.NetworkXAlgorithmError"]], "networkxerror (class in networkx)": [[1046, "networkx.NetworkXError"]], "networkxexception (class in networkx)": [[1046, "networkx.NetworkXException"]], "networkxnocycle (class in networkx)": [[1046, "networkx.NetworkXNoCycle"]], "networkxnopath (class in networkx)": [[1046, "networkx.NetworkXNoPath"]], "networkxnotimplemented (class in networkx)": [[1046, "networkx.NetworkXNotImplemented"]], "networkxpointlessconcept (class in networkx)": [[1046, "networkx.NetworkXPointlessConcept"]], "networkxunbounded (class in networkx)": [[1046, "networkx.NetworkXUnbounded"]], "networkxunfeasible (class in networkx)": [[1046, "networkx.NetworkXUnfeasible"]], "nodenotfound (class in networkx)": [[1046, "networkx.NodeNotFound"]], "poweriterationfailedconvergence (class in networkx)": [[1046, "networkx.PowerIterationFailedConvergence"]], "networkx.exception": [[1046, "module-networkx.exception"]], "networkx.classes.function": [[1047, "module-networkx.classes.function"]], "assemble() (argmap method)": [[1048, "networkx.utils.decorators.argmap.assemble"]], "compile() (argmap method)": [[1049, "networkx.utils.decorators.argmap.compile"]], "signature() (argmap class method)": [[1050, "networkx.utils.decorators.argmap.signature"]], "pop() (mappedqueue method)": [[1051, "networkx.utils.mapped_queue.MappedQueue.pop"]], "push() (mappedqueue method)": [[1052, "networkx.utils.mapped_queue.MappedQueue.push"]], "remove() (mappedqueue method)": [[1053, "networkx.utils.mapped_queue.MappedQueue.remove"]], "update() (mappedqueue method)": [[1054, "networkx.utils.mapped_queue.MappedQueue.update"]], "add_cycle() (in module networkx.classes.function)": [[1055, "networkx.classes.function.add_cycle"]], "add_path() (in module networkx.classes.function)": [[1056, "networkx.classes.function.add_path"]], "add_star() (in module networkx.classes.function)": [[1057, "networkx.classes.function.add_star"]], "all_neighbors() (in module networkx.classes.function)": [[1058, "networkx.classes.function.all_neighbors"]], "common_neighbors() (in module networkx.classes.function)": [[1059, "networkx.classes.function.common_neighbors"]], "create_empty_copy() (in module networkx.classes.function)": [[1060, "networkx.classes.function.create_empty_copy"]], "degree() (in module networkx.classes.function)": [[1061, "networkx.classes.function.degree"]], "degree_histogram() (in module networkx.classes.function)": [[1062, "networkx.classes.function.degree_histogram"]], "density() (in module networkx.classes.function)": [[1063, "networkx.classes.function.density"]], "edge_subgraph() (in module networkx.classes.function)": [[1064, "networkx.classes.function.edge_subgraph"]], "edges() (in module networkx.classes.function)": [[1065, "networkx.classes.function.edges"]], "freeze() (in module networkx.classes.function)": [[1066, "networkx.classes.function.freeze"]], "get_edge_attributes() (in module networkx.classes.function)": [[1067, "networkx.classes.function.get_edge_attributes"]], "get_node_attributes() (in module networkx.classes.function)": [[1068, "networkx.classes.function.get_node_attributes"]], "induced_subgraph() (in module networkx.classes.function)": [[1069, "networkx.classes.function.induced_subgraph"]], "is_directed() (in module networkx.classes.function)": [[1070, "networkx.classes.function.is_directed"]], "is_empty() (in module networkx.classes.function)": [[1071, "networkx.classes.function.is_empty"]], "is_frozen() (in module networkx.classes.function)": [[1072, "networkx.classes.function.is_frozen"]], "is_negatively_weighted() (in module networkx.classes.function)": [[1073, "networkx.classes.function.is_negatively_weighted"]], "is_path() (in module networkx.classes.function)": [[1074, "networkx.classes.function.is_path"]], "is_weighted() (in module networkx.classes.function)": [[1075, "networkx.classes.function.is_weighted"]], "neighbors() (in module networkx.classes.function)": [[1076, "networkx.classes.function.neighbors"]], "nodes() (in module networkx.classes.function)": [[1077, "networkx.classes.function.nodes"]], "nodes_with_selfloops() (in module networkx.classes.function)": [[1078, "networkx.classes.function.nodes_with_selfloops"]], "non_edges() (in module networkx.classes.function)": [[1079, "networkx.classes.function.non_edges"]], "non_neighbors() (in module networkx.classes.function)": [[1080, "networkx.classes.function.non_neighbors"]], "number_of_edges() (in module networkx.classes.function)": [[1081, "networkx.classes.function.number_of_edges"]], "number_of_nodes() (in module networkx.classes.function)": [[1082, "networkx.classes.function.number_of_nodes"]], "number_of_selfloops() (in module networkx.classes.function)": [[1083, "networkx.classes.function.number_of_selfloops"]], "path_weight() (in module networkx.classes.function)": [[1084, "networkx.classes.function.path_weight"]], "restricted_view() (in module networkx.classes.function)": [[1085, "networkx.classes.function.restricted_view"]], "reverse_view() (in module networkx.classes.function)": [[1086, "networkx.classes.function.reverse_view"]], "selfloop_edges() (in module networkx.classes.function)": [[1087, "networkx.classes.function.selfloop_edges"]], "set_edge_attributes() (in module networkx.classes.function)": [[1088, "networkx.classes.function.set_edge_attributes"]], "set_node_attributes() (in module networkx.classes.function)": [[1089, "networkx.classes.function.set_node_attributes"]], "subgraph() (in module networkx.classes.function)": [[1090, "networkx.classes.function.subgraph"]], "subgraph_view() (in module networkx.classes.function)": [[1091, "networkx.classes.function.subgraph_view"]], "to_directed() (in module networkx.classes.function)": [[1092, "networkx.classes.function.to_directed"]], "to_undirected() (in module networkx.classes.function)": [[1093, "networkx.classes.function.to_undirected"]], "from_dict_of_dicts() (in module networkx.convert)": [[1094, "networkx.convert.from_dict_of_dicts"]], "from_dict_of_lists() (in module networkx.convert)": [[1095, "networkx.convert.from_dict_of_lists"]], "from_edgelist() (in module networkx.convert)": [[1096, "networkx.convert.from_edgelist"]], "to_dict_of_dicts() (in module networkx.convert)": [[1097, "networkx.convert.to_dict_of_dicts"]], "to_dict_of_lists() (in module networkx.convert)": [[1098, "networkx.convert.to_dict_of_lists"]], "to_edgelist() (in module networkx.convert)": [[1099, "networkx.convert.to_edgelist"]], "to_networkx_graph() (in module networkx.convert)": [[1100, "networkx.convert.to_networkx_graph"]], "from_numpy_array() (in module networkx.convert_matrix)": [[1101, "networkx.convert_matrix.from_numpy_array"]], "from_pandas_adjacency() (in module networkx.convert_matrix)": [[1102, "networkx.convert_matrix.from_pandas_adjacency"]], "from_pandas_edgelist() (in module networkx.convert_matrix)": [[1103, "networkx.convert_matrix.from_pandas_edgelist"]], "from_scipy_sparse_array() (in module networkx.convert_matrix)": [[1104, "networkx.convert_matrix.from_scipy_sparse_array"]], "to_numpy_array() (in module networkx.convert_matrix)": [[1105, "networkx.convert_matrix.to_numpy_array"]], "to_pandas_adjacency() (in module networkx.convert_matrix)": [[1106, "networkx.convert_matrix.to_pandas_adjacency"]], "to_pandas_edgelist() (in module networkx.convert_matrix)": [[1107, "networkx.convert_matrix.to_pandas_edgelist"]], "to_scipy_sparse_array() (in module networkx.convert_matrix)": [[1108, "networkx.convert_matrix.to_scipy_sparse_array"]], "bipartite_layout() (in module networkx.drawing.layout)": [[1109, "networkx.drawing.layout.bipartite_layout"]], "circular_layout() (in module networkx.drawing.layout)": [[1110, "networkx.drawing.layout.circular_layout"]], "kamada_kawai_layout() (in module networkx.drawing.layout)": [[1111, "networkx.drawing.layout.kamada_kawai_layout"]], "multipartite_layout() (in module networkx.drawing.layout)": [[1112, "networkx.drawing.layout.multipartite_layout"]], "planar_layout() (in module networkx.drawing.layout)": [[1113, "networkx.drawing.layout.planar_layout"]], "random_layout() (in module networkx.drawing.layout)": [[1114, "networkx.drawing.layout.random_layout"]], "rescale_layout() (in module networkx.drawing.layout)": [[1115, "networkx.drawing.layout.rescale_layout"]], "rescale_layout_dict() (in module networkx.drawing.layout)": [[1116, "networkx.drawing.layout.rescale_layout_dict"]], "shell_layout() (in module networkx.drawing.layout)": [[1117, "networkx.drawing.layout.shell_layout"]], "spectral_layout() (in module networkx.drawing.layout)": [[1118, "networkx.drawing.layout.spectral_layout"]], "spiral_layout() (in module networkx.drawing.layout)": [[1119, "networkx.drawing.layout.spiral_layout"]], "spring_layout() (in module networkx.drawing.layout)": [[1120, "networkx.drawing.layout.spring_layout"]], "from_agraph() (in module networkx.drawing.nx_agraph)": [[1121, "networkx.drawing.nx_agraph.from_agraph"]], "graphviz_layout() (in module networkx.drawing.nx_agraph)": [[1122, "networkx.drawing.nx_agraph.graphviz_layout"]], "pygraphviz_layout() (in module networkx.drawing.nx_agraph)": [[1123, "networkx.drawing.nx_agraph.pygraphviz_layout"]], "read_dot() (in module networkx.drawing.nx_agraph)": [[1124, "networkx.drawing.nx_agraph.read_dot"]], "to_agraph() (in module networkx.drawing.nx_agraph)": [[1125, "networkx.drawing.nx_agraph.to_agraph"]], "write_dot() (in module networkx.drawing.nx_agraph)": [[1126, "networkx.drawing.nx_agraph.write_dot"]], "to_latex() (in module networkx.drawing.nx_latex)": [[1127, "networkx.drawing.nx_latex.to_latex"]], "to_latex_raw() (in module networkx.drawing.nx_latex)": [[1128, "networkx.drawing.nx_latex.to_latex_raw"]], "write_latex() (in module networkx.drawing.nx_latex)": [[1129, "networkx.drawing.nx_latex.write_latex"]], "from_pydot() (in module networkx.drawing.nx_pydot)": [[1130, "networkx.drawing.nx_pydot.from_pydot"]], "graphviz_layout() (in module networkx.drawing.nx_pydot)": [[1131, "networkx.drawing.nx_pydot.graphviz_layout"]], "pydot_layout() (in module networkx.drawing.nx_pydot)": [[1132, "networkx.drawing.nx_pydot.pydot_layout"]], "read_dot() (in module networkx.drawing.nx_pydot)": [[1133, "networkx.drawing.nx_pydot.read_dot"]], "to_pydot() (in module networkx.drawing.nx_pydot)": [[1134, "networkx.drawing.nx_pydot.to_pydot"]], "write_dot() (in module networkx.drawing.nx_pydot)": [[1135, "networkx.drawing.nx_pydot.write_dot"]], "draw() (in module networkx.drawing.nx_pylab)": [[1136, "networkx.drawing.nx_pylab.draw"]], "draw_circular() (in module networkx.drawing.nx_pylab)": [[1137, "networkx.drawing.nx_pylab.draw_circular"]], "draw_kamada_kawai() (in module networkx.drawing.nx_pylab)": [[1138, "networkx.drawing.nx_pylab.draw_kamada_kawai"]], "draw_networkx() (in module networkx.drawing.nx_pylab)": [[1139, "networkx.drawing.nx_pylab.draw_networkx"]], "draw_networkx_edge_labels() (in module networkx.drawing.nx_pylab)": [[1140, "networkx.drawing.nx_pylab.draw_networkx_edge_labels"]], "draw_networkx_edges() (in module networkx.drawing.nx_pylab)": [[1141, "networkx.drawing.nx_pylab.draw_networkx_edges"]], "draw_networkx_labels() (in module networkx.drawing.nx_pylab)": [[1142, "networkx.drawing.nx_pylab.draw_networkx_labels"]], "draw_networkx_nodes() (in module networkx.drawing.nx_pylab)": [[1143, "networkx.drawing.nx_pylab.draw_networkx_nodes"]], "draw_planar() (in module networkx.drawing.nx_pylab)": [[1144, "networkx.drawing.nx_pylab.draw_planar"]], "draw_random() (in module networkx.drawing.nx_pylab)": [[1145, "networkx.drawing.nx_pylab.draw_random"]], "draw_shell() (in module networkx.drawing.nx_pylab)": [[1146, "networkx.drawing.nx_pylab.draw_shell"]], "draw_spectral() (in module networkx.drawing.nx_pylab)": [[1147, "networkx.drawing.nx_pylab.draw_spectral"]], "draw_spring() (in module networkx.drawing.nx_pylab)": [[1148, "networkx.drawing.nx_pylab.draw_spring"]], "graph_atlas() (in module networkx.generators.atlas)": [[1149, "networkx.generators.atlas.graph_atlas"]], "graph_atlas_g() (in module networkx.generators.atlas)": [[1150, "networkx.generators.atlas.graph_atlas_g"]], "balanced_tree() (in module networkx.generators.classic)": [[1151, "networkx.generators.classic.balanced_tree"]], "barbell_graph() (in module networkx.generators.classic)": [[1152, "networkx.generators.classic.barbell_graph"]], "binomial_tree() (in module networkx.generators.classic)": [[1153, "networkx.generators.classic.binomial_tree"]], "circulant_graph() (in module networkx.generators.classic)": [[1154, "networkx.generators.classic.circulant_graph"]], "circular_ladder_graph() (in module networkx.generators.classic)": [[1155, "networkx.generators.classic.circular_ladder_graph"]], "complete_graph() (in module networkx.generators.classic)": [[1156, "networkx.generators.classic.complete_graph"]], "complete_multipartite_graph() (in module networkx.generators.classic)": [[1157, "networkx.generators.classic.complete_multipartite_graph"]], "cycle_graph() (in module networkx.generators.classic)": [[1158, "networkx.generators.classic.cycle_graph"]], "dorogovtsev_goltsev_mendes_graph() (in module networkx.generators.classic)": [[1159, "networkx.generators.classic.dorogovtsev_goltsev_mendes_graph"]], "empty_graph() (in module networkx.generators.classic)": [[1160, "networkx.generators.classic.empty_graph"]], "full_rary_tree() (in module networkx.generators.classic)": [[1161, "networkx.generators.classic.full_rary_tree"]], "ladder_graph() (in module networkx.generators.classic)": [[1162, "networkx.generators.classic.ladder_graph"]], "lollipop_graph() (in module networkx.generators.classic)": [[1163, "networkx.generators.classic.lollipop_graph"]], "null_graph() (in module networkx.generators.classic)": [[1164, "networkx.generators.classic.null_graph"]], "path_graph() (in module networkx.generators.classic)": [[1165, "networkx.generators.classic.path_graph"]], "star_graph() (in module networkx.generators.classic)": [[1166, "networkx.generators.classic.star_graph"]], "trivial_graph() (in module networkx.generators.classic)": [[1167, "networkx.generators.classic.trivial_graph"]], "turan_graph() (in module networkx.generators.classic)": [[1168, "networkx.generators.classic.turan_graph"]], "wheel_graph() (in module networkx.generators.classic)": [[1169, "networkx.generators.classic.wheel_graph"]], "random_cograph() (in module networkx.generators.cographs)": [[1170, "networkx.generators.cographs.random_cograph"]], "lfr_benchmark_graph() (in module networkx.generators.community)": [[1171, "networkx.generators.community.LFR_benchmark_graph"]], "caveman_graph() (in module networkx.generators.community)": [[1172, "networkx.generators.community.caveman_graph"]], "connected_caveman_graph() (in module networkx.generators.community)": [[1173, "networkx.generators.community.connected_caveman_graph"]], "gaussian_random_partition_graph() (in module networkx.generators.community)": [[1174, "networkx.generators.community.gaussian_random_partition_graph"]], "planted_partition_graph() (in module networkx.generators.community)": [[1175, "networkx.generators.community.planted_partition_graph"]], "random_partition_graph() (in module networkx.generators.community)": [[1176, "networkx.generators.community.random_partition_graph"]], "relaxed_caveman_graph() (in module networkx.generators.community)": [[1177, "networkx.generators.community.relaxed_caveman_graph"]], "ring_of_cliques() (in module networkx.generators.community)": [[1178, "networkx.generators.community.ring_of_cliques"]], "stochastic_block_model() (in module networkx.generators.community)": [[1179, "networkx.generators.community.stochastic_block_model"]], "windmill_graph() (in module networkx.generators.community)": [[1180, "networkx.generators.community.windmill_graph"]], "configuration_model() (in module networkx.generators.degree_seq)": [[1181, "networkx.generators.degree_seq.configuration_model"]], "degree_sequence_tree() (in module networkx.generators.degree_seq)": [[1182, "networkx.generators.degree_seq.degree_sequence_tree"]], "directed_configuration_model() (in module networkx.generators.degree_seq)": [[1183, "networkx.generators.degree_seq.directed_configuration_model"]], "directed_havel_hakimi_graph() (in module networkx.generators.degree_seq)": [[1184, "networkx.generators.degree_seq.directed_havel_hakimi_graph"]], "expected_degree_graph() (in module networkx.generators.degree_seq)": [[1185, "networkx.generators.degree_seq.expected_degree_graph"]], "havel_hakimi_graph() (in module networkx.generators.degree_seq)": [[1186, "networkx.generators.degree_seq.havel_hakimi_graph"]], "random_degree_sequence_graph() (in module networkx.generators.degree_seq)": [[1187, "networkx.generators.degree_seq.random_degree_sequence_graph"]], "gn_graph() (in module networkx.generators.directed)": [[1188, "networkx.generators.directed.gn_graph"]], "gnc_graph() (in module networkx.generators.directed)": [[1189, "networkx.generators.directed.gnc_graph"]], "gnr_graph() (in module networkx.generators.directed)": [[1190, "networkx.generators.directed.gnr_graph"]], "random_k_out_graph() (in module networkx.generators.directed)": [[1191, "networkx.generators.directed.random_k_out_graph"]], "scale_free_graph() (in module networkx.generators.directed)": [[1192, "networkx.generators.directed.scale_free_graph"]], "duplication_divergence_graph() (in module networkx.generators.duplication)": [[1193, "networkx.generators.duplication.duplication_divergence_graph"]], "partial_duplication_graph() (in module networkx.generators.duplication)": [[1194, "networkx.generators.duplication.partial_duplication_graph"]], "ego_graph() (in module networkx.generators.ego)": [[1195, "networkx.generators.ego.ego_graph"]], "chordal_cycle_graph() (in module networkx.generators.expanders)": [[1196, "networkx.generators.expanders.chordal_cycle_graph"]], "margulis_gabber_galil_graph() (in module networkx.generators.expanders)": [[1197, "networkx.generators.expanders.margulis_gabber_galil_graph"]], "paley_graph() (in module networkx.generators.expanders)": [[1198, "networkx.generators.expanders.paley_graph"]], "geographical_threshold_graph() (in module networkx.generators.geometric)": [[1199, "networkx.generators.geometric.geographical_threshold_graph"]], "geometric_edges() (in module networkx.generators.geometric)": [[1200, "networkx.generators.geometric.geometric_edges"]], "navigable_small_world_graph() (in module networkx.generators.geometric)": [[1201, "networkx.generators.geometric.navigable_small_world_graph"]], "random_geometric_graph() (in module networkx.generators.geometric)": [[1202, "networkx.generators.geometric.random_geometric_graph"]], "soft_random_geometric_graph() (in module networkx.generators.geometric)": [[1203, "networkx.generators.geometric.soft_random_geometric_graph"]], "thresholded_random_geometric_graph() (in module networkx.generators.geometric)": [[1204, "networkx.generators.geometric.thresholded_random_geometric_graph"]], "waxman_graph() (in module networkx.generators.geometric)": [[1205, "networkx.generators.geometric.waxman_graph"]], "hkn_harary_graph() (in module networkx.generators.harary_graph)": [[1206, "networkx.generators.harary_graph.hkn_harary_graph"]], "hnm_harary_graph() (in module networkx.generators.harary_graph)": [[1207, "networkx.generators.harary_graph.hnm_harary_graph"]], "random_internet_as_graph() (in module networkx.generators.internet_as_graphs)": [[1208, "networkx.generators.internet_as_graphs.random_internet_as_graph"]], "general_random_intersection_graph() (in module networkx.generators.intersection)": [[1209, "networkx.generators.intersection.general_random_intersection_graph"]], "k_random_intersection_graph() (in module networkx.generators.intersection)": [[1210, "networkx.generators.intersection.k_random_intersection_graph"]], "uniform_random_intersection_graph() (in module networkx.generators.intersection)": [[1211, "networkx.generators.intersection.uniform_random_intersection_graph"]], "interval_graph() (in module networkx.generators.interval_graph)": [[1212, "networkx.generators.interval_graph.interval_graph"]], "directed_joint_degree_graph() (in module networkx.generators.joint_degree_seq)": [[1213, "networkx.generators.joint_degree_seq.directed_joint_degree_graph"]], "is_valid_directed_joint_degree() (in module networkx.generators.joint_degree_seq)": [[1214, "networkx.generators.joint_degree_seq.is_valid_directed_joint_degree"]], "is_valid_joint_degree() (in module networkx.generators.joint_degree_seq)": [[1215, "networkx.generators.joint_degree_seq.is_valid_joint_degree"]], "joint_degree_graph() (in module networkx.generators.joint_degree_seq)": [[1216, "networkx.generators.joint_degree_seq.joint_degree_graph"]], "grid_2d_graph() (in module networkx.generators.lattice)": [[1217, "networkx.generators.lattice.grid_2d_graph"]], "grid_graph() (in module networkx.generators.lattice)": [[1218, "networkx.generators.lattice.grid_graph"]], "hexagonal_lattice_graph() (in module networkx.generators.lattice)": [[1219, "networkx.generators.lattice.hexagonal_lattice_graph"]], "hypercube_graph() (in module networkx.generators.lattice)": [[1220, "networkx.generators.lattice.hypercube_graph"]], "triangular_lattice_graph() (in module networkx.generators.lattice)": [[1221, "networkx.generators.lattice.triangular_lattice_graph"]], "inverse_line_graph() (in module networkx.generators.line)": [[1222, "networkx.generators.line.inverse_line_graph"]], "line_graph() (in module networkx.generators.line)": [[1223, "networkx.generators.line.line_graph"]], "mycielski_graph() (in module networkx.generators.mycielski)": [[1224, "networkx.generators.mycielski.mycielski_graph"]], "mycielskian() (in module networkx.generators.mycielski)": [[1225, "networkx.generators.mycielski.mycielskian"]], "nonisomorphic_trees() (in module networkx.generators.nonisomorphic_trees)": [[1226, "networkx.generators.nonisomorphic_trees.nonisomorphic_trees"]], "number_of_nonisomorphic_trees() (in module networkx.generators.nonisomorphic_trees)": [[1227, "networkx.generators.nonisomorphic_trees.number_of_nonisomorphic_trees"]], "random_clustered_graph() (in module networkx.generators.random_clustered)": [[1228, "networkx.generators.random_clustered.random_clustered_graph"]], "barabasi_albert_graph() (in module networkx.generators.random_graphs)": [[1229, "networkx.generators.random_graphs.barabasi_albert_graph"]], "binomial_graph() (in module networkx.generators.random_graphs)": [[1230, "networkx.generators.random_graphs.binomial_graph"]], "connected_watts_strogatz_graph() (in module networkx.generators.random_graphs)": [[1231, "networkx.generators.random_graphs.connected_watts_strogatz_graph"]], "dense_gnm_random_graph() (in module networkx.generators.random_graphs)": [[1232, "networkx.generators.random_graphs.dense_gnm_random_graph"]], "dual_barabasi_albert_graph() (in module networkx.generators.random_graphs)": [[1233, "networkx.generators.random_graphs.dual_barabasi_albert_graph"]], "erdos_renyi_graph() (in module networkx.generators.random_graphs)": [[1234, "networkx.generators.random_graphs.erdos_renyi_graph"]], "extended_barabasi_albert_graph() (in module networkx.generators.random_graphs)": [[1235, "networkx.generators.random_graphs.extended_barabasi_albert_graph"]], "fast_gnp_random_graph() (in module networkx.generators.random_graphs)": [[1236, "networkx.generators.random_graphs.fast_gnp_random_graph"]], "gnm_random_graph() (in module networkx.generators.random_graphs)": [[1237, "networkx.generators.random_graphs.gnm_random_graph"]], "gnp_random_graph() (in module networkx.generators.random_graphs)": [[1238, "networkx.generators.random_graphs.gnp_random_graph"]], "newman_watts_strogatz_graph() (in module networkx.generators.random_graphs)": [[1239, "networkx.generators.random_graphs.newman_watts_strogatz_graph"]], "powerlaw_cluster_graph() (in module networkx.generators.random_graphs)": [[1240, "networkx.generators.random_graphs.powerlaw_cluster_graph"]], "random_kernel_graph() (in module networkx.generators.random_graphs)": [[1241, "networkx.generators.random_graphs.random_kernel_graph"]], "random_lobster() (in module networkx.generators.random_graphs)": [[1242, "networkx.generators.random_graphs.random_lobster"]], "random_powerlaw_tree() (in module networkx.generators.random_graphs)": [[1243, "networkx.generators.random_graphs.random_powerlaw_tree"]], "random_powerlaw_tree_sequence() (in module networkx.generators.random_graphs)": [[1244, "networkx.generators.random_graphs.random_powerlaw_tree_sequence"]], "random_regular_graph() (in module networkx.generators.random_graphs)": [[1245, "networkx.generators.random_graphs.random_regular_graph"]], "random_shell_graph() (in module networkx.generators.random_graphs)": [[1246, "networkx.generators.random_graphs.random_shell_graph"]], "watts_strogatz_graph() (in module networkx.generators.random_graphs)": [[1247, "networkx.generators.random_graphs.watts_strogatz_graph"]], "lcf_graph() (in module networkx.generators.small)": [[1248, "networkx.generators.small.LCF_graph"]], "bull_graph() (in module networkx.generators.small)": [[1249, "networkx.generators.small.bull_graph"]], "chvatal_graph() (in module networkx.generators.small)": [[1250, "networkx.generators.small.chvatal_graph"]], "cubical_graph() (in module networkx.generators.small)": [[1251, "networkx.generators.small.cubical_graph"]], "desargues_graph() (in module networkx.generators.small)": [[1252, "networkx.generators.small.desargues_graph"]], "diamond_graph() (in module networkx.generators.small)": [[1253, "networkx.generators.small.diamond_graph"]], "dodecahedral_graph() (in module networkx.generators.small)": [[1254, "networkx.generators.small.dodecahedral_graph"]], "frucht_graph() (in module networkx.generators.small)": [[1255, "networkx.generators.small.frucht_graph"]], "heawood_graph() (in module networkx.generators.small)": [[1256, "networkx.generators.small.heawood_graph"]], "hoffman_singleton_graph() (in module networkx.generators.small)": [[1257, "networkx.generators.small.hoffman_singleton_graph"]], "house_graph() (in module networkx.generators.small)": [[1258, "networkx.generators.small.house_graph"]], "house_x_graph() (in module networkx.generators.small)": [[1259, "networkx.generators.small.house_x_graph"]], "icosahedral_graph() (in module networkx.generators.small)": [[1260, "networkx.generators.small.icosahedral_graph"]], "krackhardt_kite_graph() (in module networkx.generators.small)": [[1261, "networkx.generators.small.krackhardt_kite_graph"]], "moebius_kantor_graph() (in module networkx.generators.small)": [[1262, "networkx.generators.small.moebius_kantor_graph"]], "octahedral_graph() (in module networkx.generators.small)": [[1263, "networkx.generators.small.octahedral_graph"]], "pappus_graph() (in module networkx.generators.small)": [[1264, "networkx.generators.small.pappus_graph"]], "petersen_graph() (in module networkx.generators.small)": [[1265, "networkx.generators.small.petersen_graph"]], "sedgewick_maze_graph() (in module networkx.generators.small)": [[1266, "networkx.generators.small.sedgewick_maze_graph"]], "tetrahedral_graph() (in module networkx.generators.small)": [[1267, "networkx.generators.small.tetrahedral_graph"]], "truncated_cube_graph() (in module networkx.generators.small)": [[1268, "networkx.generators.small.truncated_cube_graph"]], "truncated_tetrahedron_graph() (in module networkx.generators.small)": [[1269, "networkx.generators.small.truncated_tetrahedron_graph"]], "tutte_graph() (in module networkx.generators.small)": [[1270, "networkx.generators.small.tutte_graph"]], "davis_southern_women_graph() (in module networkx.generators.social)": [[1271, "networkx.generators.social.davis_southern_women_graph"]], "florentine_families_graph() (in module networkx.generators.social)": [[1272, "networkx.generators.social.florentine_families_graph"]], "karate_club_graph() (in module networkx.generators.social)": [[1273, "networkx.generators.social.karate_club_graph"]], "les_miserables_graph() (in module networkx.generators.social)": [[1274, "networkx.generators.social.les_miserables_graph"]], "spectral_graph_forge() (in module networkx.generators.spectral_graph_forge)": [[1275, "networkx.generators.spectral_graph_forge.spectral_graph_forge"]], "stochastic_graph() (in module networkx.generators.stochastic)": [[1276, "networkx.generators.stochastic.stochastic_graph"]], "sudoku_graph() (in module networkx.generators.sudoku)": [[1277, "networkx.generators.sudoku.sudoku_graph"]], "prefix_tree() (in module networkx.generators.trees)": [[1278, "networkx.generators.trees.prefix_tree"]], "random_tree() (in module networkx.generators.trees)": [[1279, "networkx.generators.trees.random_tree"]], "triad_graph() (in module networkx.generators.triads)": [[1280, "networkx.generators.triads.triad_graph"]], "algebraic_connectivity() (in module networkx.linalg.algebraicconnectivity)": [[1281, "networkx.linalg.algebraicconnectivity.algebraic_connectivity"]], "fiedler_vector() (in module networkx.linalg.algebraicconnectivity)": [[1282, "networkx.linalg.algebraicconnectivity.fiedler_vector"]], "spectral_ordering() (in module networkx.linalg.algebraicconnectivity)": [[1283, "networkx.linalg.algebraicconnectivity.spectral_ordering"]], "attr_matrix() (in module networkx.linalg.attrmatrix)": [[1284, "networkx.linalg.attrmatrix.attr_matrix"]], "attr_sparse_matrix() (in module networkx.linalg.attrmatrix)": [[1285, "networkx.linalg.attrmatrix.attr_sparse_matrix"]], "bethe_hessian_matrix() (in module networkx.linalg.bethehessianmatrix)": [[1286, "networkx.linalg.bethehessianmatrix.bethe_hessian_matrix"]], "adjacency_matrix() (in module networkx.linalg.graphmatrix)": [[1287, "networkx.linalg.graphmatrix.adjacency_matrix"]], "incidence_matrix() (in module networkx.linalg.graphmatrix)": [[1288, "networkx.linalg.graphmatrix.incidence_matrix"]], "directed_combinatorial_laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1289, "networkx.linalg.laplacianmatrix.directed_combinatorial_laplacian_matrix"]], "directed_laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1290, "networkx.linalg.laplacianmatrix.directed_laplacian_matrix"]], "laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1291, "networkx.linalg.laplacianmatrix.laplacian_matrix"]], "normalized_laplacian_matrix() (in module networkx.linalg.laplacianmatrix)": [[1292, "networkx.linalg.laplacianmatrix.normalized_laplacian_matrix"]], "directed_modularity_matrix() (in module networkx.linalg.modularitymatrix)": [[1293, "networkx.linalg.modularitymatrix.directed_modularity_matrix"]], "modularity_matrix() (in module networkx.linalg.modularitymatrix)": [[1294, "networkx.linalg.modularitymatrix.modularity_matrix"]], "adjacency_spectrum() (in module networkx.linalg.spectrum)": [[1295, "networkx.linalg.spectrum.adjacency_spectrum"]], "bethe_hessian_spectrum() (in module networkx.linalg.spectrum)": [[1296, "networkx.linalg.spectrum.bethe_hessian_spectrum"]], "laplacian_spectrum() (in module networkx.linalg.spectrum)": [[1297, "networkx.linalg.spectrum.laplacian_spectrum"]], "modularity_spectrum() (in module networkx.linalg.spectrum)": [[1298, "networkx.linalg.spectrum.modularity_spectrum"]], "normalized_laplacian_spectrum() (in module networkx.linalg.spectrum)": [[1299, "networkx.linalg.spectrum.normalized_laplacian_spectrum"]], "convert_node_labels_to_integers() (in module networkx.relabel)": [[1300, "networkx.relabel.convert_node_labels_to_integers"]], "relabel_nodes() (in module networkx.relabel)": [[1301, "networkx.relabel.relabel_nodes"]], "__init__() (argmap method)": [[1302, "networkx.utils.decorators.argmap.__init__"]], "argmap (class in networkx.utils.decorators)": [[1302, "networkx.utils.decorators.argmap"]], "nodes_or_number() (in module networkx.utils.decorators)": [[1303, "networkx.utils.decorators.nodes_or_number"]], "not_implemented_for() (in module networkx.utils.decorators)": [[1304, "networkx.utils.decorators.not_implemented_for"]], "np_random_state() (in module networkx.utils.decorators)": [[1305, "networkx.utils.decorators.np_random_state"]], "open_file() (in module networkx.utils.decorators)": [[1306, "networkx.utils.decorators.open_file"]], "py_random_state() (in module networkx.utils.decorators)": [[1307, "networkx.utils.decorators.py_random_state"]], "mappedqueue (class in networkx.utils.mapped_queue)": [[1308, "networkx.utils.mapped_queue.MappedQueue"]], "__init__() (mappedqueue method)": [[1308, "networkx.utils.mapped_queue.MappedQueue.__init__"]], "arbitrary_element() (in module networkx.utils.misc)": [[1309, "networkx.utils.misc.arbitrary_element"]], "create_py_random_state() (in module networkx.utils.misc)": [[1310, "networkx.utils.misc.create_py_random_state"]], "create_random_state() (in module networkx.utils.misc)": [[1311, "networkx.utils.misc.create_random_state"]], "dict_to_numpy_array() (in module networkx.utils.misc)": [[1312, "networkx.utils.misc.dict_to_numpy_array"]], "edges_equal() (in module networkx.utils.misc)": [[1313, "networkx.utils.misc.edges_equal"]], "flatten() (in module networkx.utils.misc)": [[1314, "networkx.utils.misc.flatten"]], "graphs_equal() (in module networkx.utils.misc)": [[1315, "networkx.utils.misc.graphs_equal"]], "groups() (in module networkx.utils.misc)": [[1316, "networkx.utils.misc.groups"]], "make_list_of_ints() (in module networkx.utils.misc)": [[1317, "networkx.utils.misc.make_list_of_ints"]], "nodes_equal() (in module networkx.utils.misc)": [[1318, "networkx.utils.misc.nodes_equal"]], "pairwise() (in module networkx.utils.misc)": [[1319, "networkx.utils.misc.pairwise"]], "cumulative_distribution() (in module networkx.utils.random_sequence)": [[1320, "networkx.utils.random_sequence.cumulative_distribution"]], "discrete_sequence() (in module networkx.utils.random_sequence)": [[1321, "networkx.utils.random_sequence.discrete_sequence"]], "powerlaw_sequence() (in module networkx.utils.random_sequence)": [[1322, "networkx.utils.random_sequence.powerlaw_sequence"]], "random_weighted_sample() (in module networkx.utils.random_sequence)": [[1323, "networkx.utils.random_sequence.random_weighted_sample"]], "weighted_choice() (in module networkx.utils.random_sequence)": [[1324, "networkx.utils.random_sequence.weighted_choice"]], "zipf_rv() (in module networkx.utils.random_sequence)": [[1325, "networkx.utils.random_sequence.zipf_rv"]], "cuthill_mckee_ordering() (in module networkx.utils.rcm)": [[1326, "networkx.utils.rcm.cuthill_mckee_ordering"]], "reverse_cuthill_mckee_ordering() (in module networkx.utils.rcm)": [[1327, "networkx.utils.rcm.reverse_cuthill_mckee_ordering"]], "union() (unionfind method)": [[1328, "networkx.utils.union_find.UnionFind.union"]], "networkx.generators.atlas": [[1329, "module-networkx.generators.atlas"]], "networkx.generators.classic": [[1329, "module-networkx.generators.classic"]], "networkx.generators.cographs": [[1329, "module-networkx.generators.cographs"]], "networkx.generators.community": [[1329, "module-networkx.generators.community"]], "networkx.generators.degree_seq": [[1329, "module-networkx.generators.degree_seq"]], "networkx.generators.directed": [[1329, "module-networkx.generators.directed"]], "networkx.generators.duplication": [[1329, "module-networkx.generators.duplication"]], "networkx.generators.ego": [[1329, "module-networkx.generators.ego"]], "networkx.generators.expanders": [[1329, "module-networkx.generators.expanders"]], "networkx.generators.geometric": [[1329, "module-networkx.generators.geometric"]], "networkx.generators.harary_graph": [[1329, "module-networkx.generators.harary_graph"]], "networkx.generators.internet_as_graphs": [[1329, "module-networkx.generators.internet_as_graphs"]], "networkx.generators.intersection": [[1329, "module-networkx.generators.intersection"]], "networkx.generators.interval_graph": [[1329, "module-networkx.generators.interval_graph"]], "networkx.generators.joint_degree_seq": [[1329, "module-networkx.generators.joint_degree_seq"]], "networkx.generators.lattice": [[1329, "module-networkx.generators.lattice"]], "networkx.generators.line": [[1329, "module-networkx.generators.line"]], "networkx.generators.mycielski": [[1329, "module-networkx.generators.mycielski"]], "networkx.generators.nonisomorphic_trees": [[1329, "module-networkx.generators.nonisomorphic_trees"]], "networkx.generators.random_clustered": [[1329, "module-networkx.generators.random_clustered"]], "networkx.generators.random_graphs": [[1329, "module-networkx.generators.random_graphs"]], "networkx.generators.small": [[1329, "module-networkx.generators.small"]], "networkx.generators.social": [[1329, "module-networkx.generators.social"]], "networkx.generators.spectral_graph_forge": [[1329, "module-networkx.generators.spectral_graph_forge"]], "networkx.generators.stochastic": [[1329, "module-networkx.generators.stochastic"]], "networkx.generators.sudoku": [[1329, "module-networkx.generators.sudoku"]], "networkx.generators.trees": [[1329, "module-networkx.generators.trees"]], "networkx.generators.triads": [[1329, "module-networkx.generators.triads"]], "dictionary": [[1330, "term-dictionary"]], "ebunch": [[1330, "term-ebunch"]], "edge": [[1330, "term-edge"]], "edge attribute": [[1330, "term-edge-attribute"]], "nbunch": [[1330, "term-nbunch"]], "node": [[1330, "term-node"]], "node attribute": [[1330, "term-node-attribute"]], "networkx.linalg.algebraicconnectivity": [[1333, "module-networkx.linalg.algebraicconnectivity"]], "networkx.linalg.attrmatrix": [[1333, "module-networkx.linalg.attrmatrix"]], "networkx.linalg.bethehessianmatrix": [[1333, "module-networkx.linalg.bethehessianmatrix"]], "networkx.linalg.graphmatrix": [[1333, "module-networkx.linalg.graphmatrix"]], "networkx.linalg.laplacianmatrix": [[1333, "module-networkx.linalg.laplacianmatrix"]], "networkx.linalg.modularitymatrix": [[1333, "module-networkx.linalg.modularitymatrix"]], "networkx.linalg.spectrum": [[1333, "module-networkx.linalg.spectrum"]], "networkx.readwrite.adjlist": [[1335, "module-networkx.readwrite.adjlist"]], "networkx.readwrite.edgelist": [[1336, "module-networkx.readwrite.edgelist"]], "generate_adjlist() (in module networkx.readwrite.adjlist)": [[1337, "networkx.readwrite.adjlist.generate_adjlist"]], "parse_adjlist() (in module networkx.readwrite.adjlist)": [[1338, "networkx.readwrite.adjlist.parse_adjlist"]], "read_adjlist() (in module networkx.readwrite.adjlist)": [[1339, "networkx.readwrite.adjlist.read_adjlist"]], "write_adjlist() (in module networkx.readwrite.adjlist)": [[1340, "networkx.readwrite.adjlist.write_adjlist"]], "generate_edgelist() (in module networkx.readwrite.edgelist)": [[1341, "networkx.readwrite.edgelist.generate_edgelist"]], "parse_edgelist() (in module networkx.readwrite.edgelist)": [[1342, "networkx.readwrite.edgelist.parse_edgelist"]], "read_edgelist() (in module networkx.readwrite.edgelist)": [[1343, "networkx.readwrite.edgelist.read_edgelist"]], "read_weighted_edgelist() (in module networkx.readwrite.edgelist)": [[1344, "networkx.readwrite.edgelist.read_weighted_edgelist"]], "write_edgelist() (in module networkx.readwrite.edgelist)": [[1345, "networkx.readwrite.edgelist.write_edgelist"]], "write_weighted_edgelist() (in module networkx.readwrite.edgelist)": [[1346, "networkx.readwrite.edgelist.write_weighted_edgelist"]], "generate_gexf() (in module networkx.readwrite.gexf)": [[1347, "networkx.readwrite.gexf.generate_gexf"]], "read_gexf() (in module networkx.readwrite.gexf)": [[1348, "networkx.readwrite.gexf.read_gexf"]], "relabel_gexf_graph() (in module networkx.readwrite.gexf)": [[1349, "networkx.readwrite.gexf.relabel_gexf_graph"]], "write_gexf() (in module networkx.readwrite.gexf)": [[1350, "networkx.readwrite.gexf.write_gexf"]], "generate_gml() (in module networkx.readwrite.gml)": [[1351, "networkx.readwrite.gml.generate_gml"]], "literal_destringizer() (in module networkx.readwrite.gml)": [[1352, "networkx.readwrite.gml.literal_destringizer"]], "literal_stringizer() (in module networkx.readwrite.gml)": [[1353, "networkx.readwrite.gml.literal_stringizer"]], "parse_gml() (in module networkx.readwrite.gml)": [[1354, "networkx.readwrite.gml.parse_gml"]], "read_gml() (in module networkx.readwrite.gml)": [[1355, "networkx.readwrite.gml.read_gml"]], "write_gml() (in module networkx.readwrite.gml)": [[1356, "networkx.readwrite.gml.write_gml"]], "from_graph6_bytes() (in module networkx.readwrite.graph6)": [[1357, "networkx.readwrite.graph6.from_graph6_bytes"]], "read_graph6() (in module networkx.readwrite.graph6)": [[1358, "networkx.readwrite.graph6.read_graph6"]], "to_graph6_bytes() (in module networkx.readwrite.graph6)": [[1359, "networkx.readwrite.graph6.to_graph6_bytes"]], "write_graph6() (in module networkx.readwrite.graph6)": [[1360, "networkx.readwrite.graph6.write_graph6"]], "generate_graphml() (in module networkx.readwrite.graphml)": [[1361, "networkx.readwrite.graphml.generate_graphml"]], "parse_graphml() (in module networkx.readwrite.graphml)": [[1362, "networkx.readwrite.graphml.parse_graphml"]], "read_graphml() (in module networkx.readwrite.graphml)": [[1363, "networkx.readwrite.graphml.read_graphml"]], "write_graphml() (in module networkx.readwrite.graphml)": [[1364, "networkx.readwrite.graphml.write_graphml"]], "adjacency_data() (in module networkx.readwrite.json_graph)": [[1365, "networkx.readwrite.json_graph.adjacency_data"]], "adjacency_graph() (in module networkx.readwrite.json_graph)": [[1366, "networkx.readwrite.json_graph.adjacency_graph"]], "cytoscape_data() (in module networkx.readwrite.json_graph)": [[1367, "networkx.readwrite.json_graph.cytoscape_data"]], "cytoscape_graph() (in module networkx.readwrite.json_graph)": [[1368, "networkx.readwrite.json_graph.cytoscape_graph"]], "node_link_data() (in module networkx.readwrite.json_graph)": [[1369, "networkx.readwrite.json_graph.node_link_data"]], "node_link_graph() (in module networkx.readwrite.json_graph)": [[1370, "networkx.readwrite.json_graph.node_link_graph"]], "tree_data() (in module networkx.readwrite.json_graph)": [[1371, "networkx.readwrite.json_graph.tree_data"]], "tree_graph() (in module networkx.readwrite.json_graph)": [[1372, "networkx.readwrite.json_graph.tree_graph"]], "parse_leda() (in module networkx.readwrite.leda)": [[1373, "networkx.readwrite.leda.parse_leda"]], "read_leda() (in module networkx.readwrite.leda)": [[1374, "networkx.readwrite.leda.read_leda"]], "generate_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1375, "networkx.readwrite.multiline_adjlist.generate_multiline_adjlist"]], "parse_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1376, "networkx.readwrite.multiline_adjlist.parse_multiline_adjlist"]], "read_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1377, "networkx.readwrite.multiline_adjlist.read_multiline_adjlist"]], "write_multiline_adjlist() (in module networkx.readwrite.multiline_adjlist)": [[1378, "networkx.readwrite.multiline_adjlist.write_multiline_adjlist"]], "generate_pajek() (in module networkx.readwrite.pajek)": [[1379, "networkx.readwrite.pajek.generate_pajek"]], "parse_pajek() (in module networkx.readwrite.pajek)": [[1380, "networkx.readwrite.pajek.parse_pajek"]], "read_pajek() (in module networkx.readwrite.pajek)": [[1381, "networkx.readwrite.pajek.read_pajek"]], "write_pajek() (in module networkx.readwrite.pajek)": [[1382, "networkx.readwrite.pajek.write_pajek"]], "from_sparse6_bytes() (in module networkx.readwrite.sparse6)": [[1383, "networkx.readwrite.sparse6.from_sparse6_bytes"]], "read_sparse6() (in module networkx.readwrite.sparse6)": [[1384, "networkx.readwrite.sparse6.read_sparse6"]], "to_sparse6_bytes() (in module networkx.readwrite.sparse6)": [[1385, "networkx.readwrite.sparse6.to_sparse6_bytes"]], "write_sparse6() (in module networkx.readwrite.sparse6)": [[1386, "networkx.readwrite.sparse6.write_sparse6"]], "generate_network_text() (in module networkx.readwrite.text)": [[1387, "networkx.readwrite.text.generate_network_text"]], "write_network_text() (in module networkx.readwrite.text)": [[1388, "networkx.readwrite.text.write_network_text"]], "networkx.readwrite.gexf": [[1389, "module-networkx.readwrite.gexf"]], "networkx.readwrite.gml": [[1390, "module-networkx.readwrite.gml"]], "networkx.readwrite.graphml": [[1391, "module-networkx.readwrite.graphml"]], "networkx.readwrite.json_graph": [[1393, "module-networkx.readwrite.json_graph"]], "networkx.readwrite.leda": [[1394, "module-networkx.readwrite.leda"]], "networkx.readwrite.multiline_adjlist": [[1396, "module-networkx.readwrite.multiline_adjlist"]], "networkx.readwrite.pajek": [[1397, "module-networkx.readwrite.pajek"]], "networkx.readwrite.graph6": [[1398, "module-networkx.readwrite.graph6"]], "networkx.readwrite.sparse6": [[1398, "module-networkx.readwrite.sparse6"]], "networkx.readwrite.text": [[1399, "module-networkx.readwrite.text"]], "networkx.relabel": [[1400, "module-networkx.relabel"]], "networkx.utils": [[1401, "module-networkx.utils"]], "networkx.utils.decorators": [[1401, "module-networkx.utils.decorators"]], "networkx.utils.mapped_queue": [[1401, "module-networkx.utils.mapped_queue"]], "networkx.utils.misc": [[1401, "module-networkx.utils.misc"]], "networkx.utils.random_sequence": [[1401, "module-networkx.utils.random_sequence"]], "networkx.utils.rcm": [[1401, "module-networkx.utils.rcm"]], "networkx.utils.union_find": [[1401, "module-networkx.utils.union_find"]]}})
\ No newline at end of file diff --git a/tutorial-34.pdf b/tutorial-34.pdf Binary files differindex a4d89b1f..53e84e62 100644 --- a/tutorial-34.pdf +++ b/tutorial-34.pdf diff --git a/tutorial-35.hires.png b/tutorial-35.hires.png Binary files differindex 113919bf..89d794ee 100644 --- a/tutorial-35.hires.png +++ b/tutorial-35.hires.png diff --git a/tutorial-35.pdf b/tutorial-35.pdf Binary files differindex c52cfba0..371177a0 100644 --- a/tutorial-35.pdf +++ b/tutorial-35.pdf diff --git a/tutorial-35.png b/tutorial-35.png Binary files differindex a30f20e3..91e68ac5 100644 --- a/tutorial-35.png +++ b/tutorial-35.png diff --git a/tutorial-36.pdf b/tutorial-36.pdf Binary files differindex d3e66e44..34b4a5c6 100644 --- a/tutorial-36.pdf +++ b/tutorial-36.pdf diff --git a/tutorial.ipynb b/tutorial.ipynb index ed98978d..35064095 100644 --- a/tutorial.ipynb +++ b/tutorial.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "40fbf295", + "id": "faf90572", "metadata": {}, "source": [ "## Tutorial\n", @@ -17,7 +17,7 @@ { "cell_type": "code", "execution_count": null, - "id": "cef8525c", + "id": "509e60e1", "metadata": {}, "outputs": [], "source": [ @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "c89a63e1", + "id": "8f16129b", "metadata": {}, "source": [ "By definition, a `Graph` is a collection of nodes (vertices) along with\n", @@ -47,7 +47,7 @@ { "cell_type": "code", "execution_count": null, - "id": "2d14bc17", + "id": "bd6562e0", "metadata": {}, "outputs": [], "source": [ @@ -56,7 +56,7 @@ }, { "cell_type": "markdown", - "id": "86d31597", + "id": "2d825f0d", "metadata": {}, "source": [ "or add nodes from any [iterable](https://docs.python.org/3/glossary.html#term-iterable) container, such as a list" @@ -65,7 +65,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c94f91f4", + "id": "fbb02b73", "metadata": {}, "outputs": [], "source": [ @@ -74,7 +74,7 @@ }, { "cell_type": "markdown", - "id": "c3bb8f77", + "id": "c1329bd5", "metadata": {}, "source": [ "You can also add nodes along with node\n", @@ -96,7 +96,7 @@ { "cell_type": "code", "execution_count": null, - "id": "02cbbc70", + "id": "9f7ed036", "metadata": {}, "outputs": [], "source": [ @@ -106,7 +106,7 @@ }, { "cell_type": "markdown", - "id": "cb2c969c", + "id": "352e5eb2", "metadata": {}, "source": [ "`G` now contains the nodes of `H` as nodes of `G`.\n", @@ -116,7 +116,7 @@ { "cell_type": "code", "execution_count": null, - "id": "ac9270c8", + "id": "70997bf3", "metadata": {}, "outputs": [], "source": [ @@ -125,7 +125,7 @@ }, { "cell_type": "markdown", - "id": "13828256", + "id": "d6b38e18", "metadata": {}, "source": [ "The graph `G` now contains `H` as a node. This flexibility is very powerful as\n", @@ -143,7 +143,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a8284de6", + "id": "9eea36b7", "metadata": {}, "outputs": [], "source": [ @@ -154,7 +154,7 @@ }, { "cell_type": "markdown", - "id": "ff5cffab", + "id": "b464b93d", "metadata": {}, "source": [ "by adding a list of edges," @@ -163,7 +163,7 @@ { "cell_type": "code", "execution_count": null, - "id": "434d2f22", + "id": "34f152ab", "metadata": {}, "outputs": [], "source": [ @@ -172,7 +172,7 @@ }, { "cell_type": "markdown", - "id": "65f9fc56", + "id": "9f21d2b4", "metadata": {}, "source": [ "or by adding any ebunch of edges. An *ebunch* is any iterable\n", @@ -185,7 +185,7 @@ { "cell_type": "code", "execution_count": null, - "id": "54bfa016", + "id": "043d9118", "metadata": {}, "outputs": [], "source": [ @@ -194,7 +194,7 @@ }, { "cell_type": "markdown", - "id": "302b1072", + "id": "b0e6b3d0", "metadata": {}, "source": [ "There are no complaints when adding existing nodes or edges. For example,\n", @@ -204,7 +204,7 @@ { "cell_type": "code", "execution_count": null, - "id": "191ec7af", + "id": "a7803e90", "metadata": {}, "outputs": [], "source": [ @@ -213,7 +213,7 @@ }, { "cell_type": "markdown", - "id": "bafe4169", + "id": "ddf6cae4", "metadata": {}, "source": [ "we add new nodes/edges and NetworkX quietly ignores any that are\n", @@ -223,7 +223,7 @@ { "cell_type": "code", "execution_count": null, - "id": "c0011fb9", + "id": "7200f52c", "metadata": {}, "outputs": [], "source": [ @@ -237,7 +237,7 @@ }, { "cell_type": "markdown", - "id": "acde4534", + "id": "b5b9201c", "metadata": {}, "source": [ "At this stage the graph `G` consists of 8 nodes and 3 edges, as can be seen by:" @@ -246,7 +246,7 @@ { "cell_type": "code", "execution_count": null, - "id": "401d89be", + "id": "a5ee0237", "metadata": {}, "outputs": [], "source": [ @@ -257,7 +257,7 @@ { "cell_type": "code", "execution_count": null, - "id": "5b28cc93", + "id": "f3096427", "metadata": {}, "outputs": [], "source": [ @@ -272,7 +272,7 @@ }, { "cell_type": "markdown", - "id": "b66f2b7b", + "id": "f2250e7f", "metadata": {}, "source": [ "# Examining elements of a graph\n", @@ -292,7 +292,7 @@ { "cell_type": "code", "execution_count": null, - "id": "b44501af", + "id": "50bbc2f9", "metadata": {}, "outputs": [], "source": [ @@ -304,7 +304,7 @@ }, { "cell_type": "markdown", - "id": "7b82fc28", + "id": "af406d27", "metadata": {}, "source": [ "One can specify to report the edges and degree from a subset of all nodes\n", @@ -316,7 +316,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8ca5a782", + "id": "b9a24473", "metadata": {}, "outputs": [], "source": [ @@ -326,7 +326,7 @@ }, { "cell_type": "markdown", - "id": "02b3e41c", + "id": "9277ad57", "metadata": {}, "source": [ "# Removing elements from a graph\n", @@ -343,7 +343,7 @@ { "cell_type": "code", "execution_count": null, - "id": "a36cce3a", + "id": "2e9d83af", "metadata": {}, "outputs": [], "source": [ @@ -355,7 +355,7 @@ }, { "cell_type": "markdown", - "id": "1e28330a", + "id": "20eaa24a", "metadata": {}, "source": [ "# Using the graph constructors\n", @@ -370,7 +370,7 @@ { "cell_type": "code", "execution_count": null, - "id": "9d0879b5", + "id": "086e518e", "metadata": {}, "outputs": [], "source": [ @@ -387,7 +387,7 @@ }, { "cell_type": "markdown", - "id": "b6c57366", + "id": "715a10d5", "metadata": {}, "source": [ "# What to use as nodes and edges\n", @@ -416,7 +416,7 @@ { "cell_type": "code", "execution_count": null, - "id": "4b6b4cc9", + "id": "ef2ac6b1", "metadata": {}, "outputs": [], "source": [ @@ -428,7 +428,7 @@ }, { "cell_type": "markdown", - "id": "4ef3c002", + "id": "3dc01db8", "metadata": {}, "source": [ "You can get/set the attributes of an edge using subscript notation\n", @@ -438,7 +438,7 @@ { "cell_type": "code", "execution_count": null, - "id": "3af8cd3d", + "id": "9a28c088", "metadata": {}, "outputs": [], "source": [ @@ -450,7 +450,7 @@ }, { "cell_type": "markdown", - "id": "a38aad14", + "id": "5d9371d4", "metadata": {}, "source": [ "Fast examination of all (node, adjacency) pairs is achieved using\n", @@ -461,7 +461,7 @@ { "cell_type": "code", "execution_count": null, - "id": "78900827", + "id": "4a1ceee5", "metadata": {}, "outputs": [], "source": [ @@ -475,7 +475,7 @@ }, { "cell_type": "markdown", - "id": "175a41b6", + "id": "a85bf73b", "metadata": {}, "source": [ "Convenient access to all edges is achieved with the edges property." @@ -484,7 +484,7 @@ { "cell_type": "code", "execution_count": null, - "id": "d0230f15", + "id": "a83a3c2c", "metadata": {}, "outputs": [], "source": [ @@ -495,7 +495,7 @@ }, { "cell_type": "markdown", - "id": "44de1952", + "id": "b485a1c1", "metadata": {}, "source": [ "# Adding attributes to graphs, nodes, and edges\n", @@ -517,7 +517,7 @@ { "cell_type": "code", "execution_count": null, - "id": "303386dd", + "id": "1937ca75", "metadata": {}, "outputs": [], "source": [ @@ -527,7 +527,7 @@ }, { "cell_type": "markdown", - "id": "b96ad4a8", + "id": "96061e33", "metadata": {}, "source": [ "Or you can modify attributes later" @@ -536,7 +536,7 @@ { "cell_type": "code", "execution_count": null, - "id": "55ece8fb", + "id": "bdc65098", "metadata": {}, "outputs": [], "source": [ @@ -546,7 +546,7 @@ }, { "cell_type": "markdown", - "id": "d0ee2386", + "id": "013ee034", "metadata": {}, "source": [ "# Node attributes\n", @@ -557,7 +557,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7490d9bc", + "id": "5f30fb34", "metadata": {}, "outputs": [], "source": [ @@ -570,7 +570,7 @@ }, { "cell_type": "markdown", - "id": "aa13f2c9", + "id": "e6cdd75a", "metadata": {}, "source": [ "Note that adding a node to `G.nodes` does not add it to the graph, use\n", @@ -585,7 +585,7 @@ { "cell_type": "code", "execution_count": null, - "id": "086fe04c", + "id": "0d67c3ae", "metadata": {}, "outputs": [], "source": [ @@ -598,7 +598,7 @@ }, { "cell_type": "markdown", - "id": "d79874d3", + "id": "96fa928f", "metadata": {}, "source": [ "The special attribute `weight` should be numeric as it is used by\n", @@ -619,7 +619,7 @@ { "cell_type": "code", "execution_count": null, - "id": "14fab3bc", + "id": "83d74f74", "metadata": {}, "outputs": [], "source": [ @@ -633,7 +633,7 @@ }, { "cell_type": "markdown", - "id": "c7dd6481", + "id": "be22350a", "metadata": {}, "source": [ "Some algorithms work only for directed graphs and others are not well\n", @@ -646,7 +646,7 @@ { "cell_type": "code", "execution_count": null, - "id": "07fb35fc", + "id": "7f9d17cf", "metadata": {}, "outputs": [], "source": [ @@ -655,7 +655,7 @@ }, { "cell_type": "markdown", - "id": "9cda3f7d", + "id": "258a0a35", "metadata": {}, "source": [ "# Multigraphs\n", @@ -675,7 +675,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8d607698", + "id": "b7d8bd66", "metadata": {}, "outputs": [], "source": [ @@ -693,7 +693,7 @@ }, { "cell_type": "markdown", - "id": "1274128a", + "id": "c8621f50", "metadata": {}, "source": [ "# Graph generators and graph operations\n", @@ -713,7 +713,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bf4e008d", + "id": "3e5e0ff5", "metadata": {}, "outputs": [], "source": [ @@ -725,7 +725,7 @@ }, { "cell_type": "markdown", - "id": "673279c6", + "id": "3943038c", "metadata": {}, "source": [ "# 4. Using a stochastic graph generator, e.g,\n", @@ -736,7 +736,7 @@ { "cell_type": "code", "execution_count": null, - "id": "fd2feef4", + "id": "439a61bd", "metadata": {}, "outputs": [], "source": [ @@ -748,7 +748,7 @@ }, { "cell_type": "markdown", - "id": "703ea6be", + "id": "7bc4b49a", "metadata": {}, "source": [ "# 5. Reading a graph stored in a file using common graph formats\n", @@ -760,7 +760,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bb8090e6", + "id": "740569d3", "metadata": {}, "outputs": [], "source": [ @@ -770,7 +770,7 @@ }, { "cell_type": "markdown", - "id": "973a9b9f", + "id": "5ecfcaf4", "metadata": {}, "source": [ "For details on graph formats see Reading and writing graphs\n", @@ -785,7 +785,7 @@ { "cell_type": "code", "execution_count": null, - "id": "26e8238c", + "id": "f8750762", "metadata": {}, "outputs": [], "source": [ @@ -799,7 +799,7 @@ }, { "cell_type": "markdown", - "id": "1def3479", + "id": "77d7137b", "metadata": {}, "source": [ "Some functions with large output iterate over (node, value) 2-tuples.\n", @@ -809,7 +809,7 @@ { "cell_type": "code", "execution_count": null, - "id": "58e06fa5", + "id": "b96e8565", "metadata": {}, "outputs": [], "source": [ @@ -819,7 +819,7 @@ }, { "cell_type": "markdown", - "id": "14a94ada", + "id": "13102485", "metadata": {}, "source": [ "See Algorithms for details on graph algorithms\n", @@ -838,7 +838,7 @@ { "cell_type": "code", "execution_count": null, - "id": "07f88ce4", + "id": "0d23c39c", "metadata": {}, "outputs": [], "source": [ @@ -847,7 +847,7 @@ }, { "cell_type": "markdown", - "id": "d9234a34", + "id": "3cea4268", "metadata": {}, "source": [ "To test if the import of `nx_pylab` was successful draw `G`\n", @@ -857,7 +857,7 @@ { "cell_type": "code", "execution_count": null, - "id": "43e21e1a", + "id": "12db14b2", "metadata": {}, "outputs": [], "source": [ @@ -870,7 +870,7 @@ }, { "cell_type": "markdown", - "id": "e7940816", + "id": "d528e97f", "metadata": {}, "source": [ "when drawing to an interactive display. Note that you may need to issue a\n", @@ -880,7 +880,7 @@ { "cell_type": "code", "execution_count": null, - "id": "bad8ba76", + "id": "a261f16e", "metadata": {}, "outputs": [], "source": [ @@ -889,7 +889,7 @@ }, { "cell_type": "markdown", - "id": "4b162725", + "id": "01288888", "metadata": {}, "source": [ "command if you are not using matplotlib in interactive mode." @@ -898,7 +898,7 @@ { "cell_type": "code", "execution_count": null, - "id": "8a183e56", + "id": "64936191", "metadata": {}, "outputs": [], "source": [ @@ -919,7 +919,7 @@ }, { "cell_type": "markdown", - "id": "d91f5713", + "id": "0091f94a", "metadata": {}, "source": [ "You can find additional options via `draw_networkx()` and\n", @@ -930,7 +930,7 @@ { "cell_type": "code", "execution_count": null, - "id": "7635ed9d", + "id": "52b43d16", "metadata": {}, "outputs": [], "source": [ @@ -941,7 +941,7 @@ }, { "cell_type": "markdown", - "id": "22d018cc", + "id": "d883d5f7", "metadata": {}, "source": [ "To save drawings to a file, use, for example" @@ -950,7 +950,7 @@ { "cell_type": "code", "execution_count": null, - "id": "47c0c750", + "id": "6ce05699", "metadata": {}, "outputs": [], "source": [ @@ -960,7 +960,7 @@ }, { "cell_type": "markdown", - "id": "cc4da952", + "id": "4cb4ddfe", "metadata": {}, "source": [ "This function writes to the file `path.png` in the local directory. If Graphviz and\n", @@ -973,7 +973,7 @@ { "cell_type": "code", "execution_count": null, - "id": "34997105", + "id": "4da90442", "metadata": {}, "outputs": [], "source": [ @@ -985,7 +985,7 @@ }, { "cell_type": "markdown", - "id": "e4d99944", + "id": "259ad362", "metadata": {}, "source": [ "See Drawing for additional details.\n", diff --git a/tutorial_full.ipynb b/tutorial_full.ipynb index 2f8b32f4..c9f8fd54 100644 --- a/tutorial_full.ipynb +++ b/tutorial_full.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "40fbf295", + "id": "faf90572", "metadata": {}, "source": [ "## Tutorial\n", @@ -17,13 +17,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "cef8525c", + "id": "509e60e1", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.757629Z", - "iopub.status.busy": "2023-02-23T15:29:15.757338Z", - "iopub.status.idle": "2023-02-23T15:29:15.854878Z", - "shell.execute_reply": "2023-02-23T15:29:15.853992Z" + "iopub.execute_input": "2023-02-26T01:59:52.206669Z", + "iopub.status.busy": "2023-02-26T01:59:52.206408Z", + "iopub.status.idle": "2023-02-26T01:59:52.279141Z", + "shell.execute_reply": "2023-02-26T01:59:52.278097Z" } }, "outputs": [], @@ -34,7 +34,7 @@ }, { "cell_type": "markdown", - "id": "c89a63e1", + "id": "8f16129b", "metadata": {}, "source": [ "By definition, a `Graph` is a collection of nodes (vertices) along with\n", @@ -54,13 +54,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "2d14bc17", + "id": "bd6562e0", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.858683Z", - "iopub.status.busy": "2023-02-23T15:29:15.858248Z", - "iopub.status.idle": "2023-02-23T15:29:15.862674Z", - "shell.execute_reply": "2023-02-23T15:29:15.861589Z" + "iopub.execute_input": "2023-02-26T01:59:52.282115Z", + "iopub.status.busy": "2023-02-26T01:59:52.281759Z", + "iopub.status.idle": "2023-02-26T01:59:52.285051Z", + "shell.execute_reply": "2023-02-26T01:59:52.284426Z" } }, "outputs": [], @@ -70,7 +70,7 @@ }, { "cell_type": "markdown", - "id": "86d31597", + "id": "2d825f0d", "metadata": {}, "source": [ "or add nodes from any [iterable](https://docs.python.org/3/glossary.html#term-iterable) container, such as a list" @@ -79,13 +79,13 @@ { "cell_type": "code", "execution_count": 3, - "id": "c94f91f4", + "id": "fbb02b73", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.866109Z", - "iopub.status.busy": "2023-02-23T15:29:15.865697Z", - "iopub.status.idle": "2023-02-23T15:29:15.870333Z", - "shell.execute_reply": "2023-02-23T15:29:15.869413Z" + "iopub.execute_input": "2023-02-26T01:59:52.287701Z", + "iopub.status.busy": "2023-02-26T01:59:52.287170Z", + "iopub.status.idle": "2023-02-26T01:59:52.291191Z", + "shell.execute_reply": "2023-02-26T01:59:52.290472Z" } }, "outputs": [], @@ -95,7 +95,7 @@ }, { "cell_type": "markdown", - "id": "c3bb8f77", + "id": "c1329bd5", "metadata": {}, "source": [ "You can also add nodes along with node\n", @@ -117,13 +117,13 @@ { "cell_type": "code", "execution_count": 4, - "id": "02cbbc70", + "id": "9f7ed036", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.876392Z", - "iopub.status.busy": "2023-02-23T15:29:15.874596Z", - "iopub.status.idle": "2023-02-23T15:29:15.884758Z", - "shell.execute_reply": "2023-02-23T15:29:15.883012Z" + "iopub.execute_input": "2023-02-26T01:59:52.293884Z", + "iopub.status.busy": "2023-02-26T01:59:52.293540Z", + "iopub.status.idle": "2023-02-26T01:59:52.297161Z", + "shell.execute_reply": "2023-02-26T01:59:52.296521Z" } }, "outputs": [], @@ -134,7 +134,7 @@ }, { "cell_type": "markdown", - "id": "cb2c969c", + "id": "352e5eb2", "metadata": {}, "source": [ "`G` now contains the nodes of `H` as nodes of `G`.\n", @@ -144,13 +144,13 @@ { "cell_type": "code", "execution_count": 5, - "id": "ac9270c8", + "id": "70997bf3", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.889084Z", - "iopub.status.busy": "2023-02-23T15:29:15.887719Z", - "iopub.status.idle": "2023-02-23T15:29:15.893518Z", - "shell.execute_reply": "2023-02-23T15:29:15.892629Z" + "iopub.execute_input": "2023-02-26T01:59:52.299658Z", + "iopub.status.busy": "2023-02-26T01:59:52.299302Z", + "iopub.status.idle": "2023-02-26T01:59:52.302395Z", + "shell.execute_reply": "2023-02-26T01:59:52.301772Z" } }, "outputs": [], @@ -160,7 +160,7 @@ }, { "cell_type": "markdown", - "id": "13828256", + "id": "d6b38e18", "metadata": {}, "source": [ "The graph `G` now contains `H` as a node. This flexibility is very powerful as\n", @@ -178,13 +178,13 @@ { "cell_type": "code", "execution_count": 6, - "id": "a8284de6", + "id": "9eea36b7", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.897195Z", - "iopub.status.busy": "2023-02-23T15:29:15.896625Z", - "iopub.status.idle": "2023-02-23T15:29:15.901139Z", - "shell.execute_reply": "2023-02-23T15:29:15.900204Z" + "iopub.execute_input": "2023-02-26T01:59:52.304943Z", + "iopub.status.busy": "2023-02-26T01:59:52.304441Z", + "iopub.status.idle": "2023-02-26T01:59:52.308548Z", + "shell.execute_reply": "2023-02-26T01:59:52.307908Z" } }, "outputs": [], @@ -196,7 +196,7 @@ }, { "cell_type": "markdown", - "id": "ff5cffab", + "id": "b464b93d", "metadata": {}, "source": [ "by adding a list of edges," @@ -205,13 +205,13 @@ { "cell_type": "code", "execution_count": 7, - "id": "434d2f22", + "id": "34f152ab", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.904467Z", - "iopub.status.busy": "2023-02-23T15:29:15.904177Z", - "iopub.status.idle": "2023-02-23T15:29:15.908308Z", - "shell.execute_reply": "2023-02-23T15:29:15.907461Z" + "iopub.execute_input": "2023-02-26T01:59:52.311034Z", + "iopub.status.busy": "2023-02-26T01:59:52.310697Z", + "iopub.status.idle": "2023-02-26T01:59:52.313879Z", + "shell.execute_reply": "2023-02-26T01:59:52.313254Z" } }, "outputs": [], @@ -221,7 +221,7 @@ }, { "cell_type": "markdown", - "id": "65f9fc56", + "id": "9f21d2b4", "metadata": {}, "source": [ "or by adding any ebunch of edges. An *ebunch* is any iterable\n", @@ -234,13 +234,13 @@ { "cell_type": "code", "execution_count": 8, - "id": "54bfa016", + "id": "043d9118", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.911926Z", - "iopub.status.busy": "2023-02-23T15:29:15.911400Z", - "iopub.status.idle": "2023-02-23T15:29:15.915530Z", - "shell.execute_reply": "2023-02-23T15:29:15.914631Z" + "iopub.execute_input": "2023-02-26T01:59:52.316595Z", + "iopub.status.busy": "2023-02-26T01:59:52.316102Z", + "iopub.status.idle": "2023-02-26T01:59:52.319164Z", + "shell.execute_reply": "2023-02-26T01:59:52.318540Z" } }, "outputs": [], @@ -250,7 +250,7 @@ }, { "cell_type": "markdown", - "id": "302b1072", + "id": "b0e6b3d0", "metadata": {}, "source": [ "There are no complaints when adding existing nodes or edges. For example,\n", @@ -260,13 +260,13 @@ { "cell_type": "code", "execution_count": 9, - "id": "191ec7af", + "id": "a7803e90", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.919100Z", - "iopub.status.busy": "2023-02-23T15:29:15.918584Z", - "iopub.status.idle": "2023-02-23T15:29:15.923440Z", - "shell.execute_reply": "2023-02-23T15:29:15.922684Z" + "iopub.execute_input": "2023-02-26T01:59:52.321789Z", + "iopub.status.busy": "2023-02-26T01:59:52.321300Z", + "iopub.status.idle": "2023-02-26T01:59:52.324297Z", + "shell.execute_reply": "2023-02-26T01:59:52.323673Z" } }, "outputs": [], @@ -276,7 +276,7 @@ }, { "cell_type": "markdown", - "id": "bafe4169", + "id": "ddf6cae4", "metadata": {}, "source": [ "we add new nodes/edges and NetworkX quietly ignores any that are\n", @@ -286,13 +286,13 @@ { "cell_type": "code", "execution_count": 10, - "id": "c0011fb9", + "id": "7200f52c", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.926905Z", - "iopub.status.busy": "2023-02-23T15:29:15.926618Z", - "iopub.status.idle": "2023-02-23T15:29:15.932709Z", - "shell.execute_reply": "2023-02-23T15:29:15.931802Z" + "iopub.execute_input": "2023-02-26T01:59:52.326927Z", + "iopub.status.busy": "2023-02-26T01:59:52.326437Z", + "iopub.status.idle": "2023-02-26T01:59:52.330383Z", + "shell.execute_reply": "2023-02-26T01:59:52.329740Z" } }, "outputs": [], @@ -307,7 +307,7 @@ }, { "cell_type": "markdown", - "id": "acde4534", + "id": "b5b9201c", "metadata": {}, "source": [ "At this stage the graph `G` consists of 8 nodes and 3 edges, as can be seen by:" @@ -316,13 +316,13 @@ { "cell_type": "code", "execution_count": 11, - "id": "401d89be", + "id": "a5ee0237", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.936167Z", - "iopub.status.busy": "2023-02-23T15:29:15.935886Z", - "iopub.status.idle": "2023-02-23T15:29:15.944583Z", - "shell.execute_reply": "2023-02-23T15:29:15.943675Z" + "iopub.execute_input": "2023-02-26T01:59:52.332928Z", + "iopub.status.busy": "2023-02-26T01:59:52.332411Z", + "iopub.status.idle": "2023-02-26T01:59:52.338974Z", + "shell.execute_reply": "2023-02-26T01:59:52.338339Z" } }, "outputs": [ @@ -345,13 +345,13 @@ { "cell_type": "code", "execution_count": 12, - "id": "5b28cc93", + "id": "f3096427", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.948211Z", - "iopub.status.busy": "2023-02-23T15:29:15.947927Z", - "iopub.status.idle": "2023-02-23T15:29:15.953779Z", - "shell.execute_reply": "2023-02-23T15:29:15.952878Z" + "iopub.execute_input": "2023-02-26T01:59:52.341954Z", + "iopub.status.busy": "2023-02-26T01:59:52.341618Z", + "iopub.status.idle": "2023-02-26T01:59:52.346091Z", + "shell.execute_reply": "2023-02-26T01:59:52.345468Z" } }, "outputs": [], @@ -367,7 +367,7 @@ }, { "cell_type": "markdown", - "id": "b66f2b7b", + "id": "f2250e7f", "metadata": {}, "source": [ "# Examining elements of a graph\n", @@ -387,13 +387,13 @@ { "cell_type": "code", "execution_count": 13, - "id": "b44501af", + "id": "50bbc2f9", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.957475Z", - "iopub.status.busy": "2023-02-23T15:29:15.956980Z", - "iopub.status.idle": "2023-02-23T15:29:15.963391Z", - "shell.execute_reply": "2023-02-23T15:29:15.962484Z" + "iopub.execute_input": "2023-02-26T01:59:52.348439Z", + "iopub.status.busy": "2023-02-26T01:59:52.348105Z", + "iopub.status.idle": "2023-02-26T01:59:52.352947Z", + "shell.execute_reply": "2023-02-26T01:59:52.352304Z" } }, "outputs": [ @@ -417,7 +417,7 @@ }, { "cell_type": "markdown", - "id": "7b82fc28", + "id": "af406d27", "metadata": {}, "source": [ "One can specify to report the edges and degree from a subset of all nodes\n", @@ -429,13 +429,13 @@ { "cell_type": "code", "execution_count": 14, - "id": "8ca5a782", + "id": "b9a24473", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.966483Z", - "iopub.status.busy": "2023-02-23T15:29:15.966195Z", - "iopub.status.idle": "2023-02-23T15:29:15.974569Z", - "shell.execute_reply": "2023-02-23T15:29:15.973692Z" + "iopub.execute_input": "2023-02-26T01:59:52.355518Z", + "iopub.status.busy": "2023-02-26T01:59:52.355282Z", + "iopub.status.idle": "2023-02-26T01:59:52.359752Z", + "shell.execute_reply": "2023-02-26T01:59:52.359111Z" } }, "outputs": [ @@ -457,7 +457,7 @@ }, { "cell_type": "markdown", - "id": "02b3e41c", + "id": "9277ad57", "metadata": {}, "source": [ "# Removing elements from a graph\n", @@ -474,13 +474,13 @@ { "cell_type": "code", "execution_count": 15, - "id": "a36cce3a", + "id": "2e9d83af", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.978014Z", - "iopub.status.busy": "2023-02-23T15:29:15.977569Z", - "iopub.status.idle": "2023-02-23T15:29:15.984251Z", - "shell.execute_reply": "2023-02-23T15:29:15.983120Z" + "iopub.execute_input": "2023-02-26T01:59:52.362428Z", + "iopub.status.busy": "2023-02-26T01:59:52.362093Z", + "iopub.status.idle": "2023-02-26T01:59:52.365483Z", + "shell.execute_reply": "2023-02-26T01:59:52.364859Z" } }, "outputs": [], @@ -493,7 +493,7 @@ }, { "cell_type": "markdown", - "id": "1e28330a", + "id": "20eaa24a", "metadata": {}, "source": [ "# Using the graph constructors\n", @@ -508,13 +508,13 @@ { "cell_type": "code", "execution_count": 16, - "id": "9d0879b5", + "id": "086e518e", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:15.988190Z", - "iopub.status.busy": "2023-02-23T15:29:15.987903Z", - "iopub.status.idle": "2023-02-23T15:29:16.334628Z", - "shell.execute_reply": "2023-02-23T15:29:16.333541Z" + "iopub.execute_input": "2023-02-26T01:59:52.367959Z", + "iopub.status.busy": "2023-02-26T01:59:52.367624Z", + "iopub.status.idle": "2023-02-26T01:59:52.628642Z", + "shell.execute_reply": "2023-02-26T01:59:52.627632Z" } }, "outputs": [ @@ -543,7 +543,7 @@ }, { "cell_type": "markdown", - "id": "b6c57366", + "id": "715a10d5", "metadata": {}, "source": [ "# What to use as nodes and edges\n", @@ -572,13 +572,13 @@ { "cell_type": "code", "execution_count": 17, - "id": "4b6b4cc9", + "id": "ef2ac6b1", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.338419Z", - "iopub.status.busy": "2023-02-23T15:29:16.337993Z", - "iopub.status.idle": "2023-02-23T15:29:16.346373Z", - "shell.execute_reply": "2023-02-23T15:29:16.345502Z" + "iopub.execute_input": "2023-02-26T01:59:52.631638Z", + "iopub.status.busy": "2023-02-26T01:59:52.631127Z", + "iopub.status.idle": "2023-02-26T01:59:52.638095Z", + "shell.execute_reply": "2023-02-26T01:59:52.637316Z" } }, "outputs": [ @@ -602,7 +602,7 @@ }, { "cell_type": "markdown", - "id": "4ef3c002", + "id": "3dc01db8", "metadata": {}, "source": [ "You can get/set the attributes of an edge using subscript notation\n", @@ -612,13 +612,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "3af8cd3d", + "id": "9a28c088", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.350619Z", - "iopub.status.busy": "2023-02-23T15:29:16.350127Z", - "iopub.status.idle": "2023-02-23T15:29:16.357722Z", - "shell.execute_reply": "2023-02-23T15:29:16.356822Z" + "iopub.execute_input": "2023-02-26T01:59:52.640966Z", + "iopub.status.busy": "2023-02-26T01:59:52.640434Z", + "iopub.status.idle": "2023-02-26T01:59:52.646943Z", + "shell.execute_reply": "2023-02-26T01:59:52.645780Z" } }, "outputs": [ @@ -642,7 +642,7 @@ }, { "cell_type": "markdown", - "id": "a38aad14", + "id": "5d9371d4", "metadata": {}, "source": [ "Fast examination of all (node, adjacency) pairs is achieved using\n", @@ -653,13 +653,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "78900827", + "id": "4a1ceee5", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.361419Z", - "iopub.status.busy": "2023-02-23T15:29:16.361140Z", - "iopub.status.idle": "2023-02-23T15:29:16.368820Z", - "shell.execute_reply": "2023-02-23T15:29:16.367886Z" + "iopub.execute_input": "2023-02-26T01:59:52.649797Z", + "iopub.status.busy": "2023-02-26T01:59:52.649382Z", + "iopub.status.idle": "2023-02-26T01:59:52.655123Z", + "shell.execute_reply": "2023-02-26T01:59:52.654479Z" } }, "outputs": [ @@ -685,7 +685,7 @@ }, { "cell_type": "markdown", - "id": "175a41b6", + "id": "a85bf73b", "metadata": {}, "source": [ "Convenient access to all edges is achieved with the edges property." @@ -694,13 +694,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "d0230f15", + "id": "a83a3c2c", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.372031Z", - "iopub.status.busy": "2023-02-23T15:29:16.371746Z", - "iopub.status.idle": "2023-02-23T15:29:16.376487Z", - "shell.execute_reply": "2023-02-23T15:29:16.375749Z" + "iopub.execute_input": "2023-02-26T01:59:52.657586Z", + "iopub.status.busy": "2023-02-26T01:59:52.657262Z", + "iopub.status.idle": "2023-02-26T01:59:52.661858Z", + "shell.execute_reply": "2023-02-26T01:59:52.661210Z" } }, "outputs": [ @@ -721,7 +721,7 @@ }, { "cell_type": "markdown", - "id": "44de1952", + "id": "b485a1c1", "metadata": {}, "source": [ "# Adding attributes to graphs, nodes, and edges\n", @@ -743,13 +743,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "303386dd", + "id": "1937ca75", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.379819Z", - "iopub.status.busy": "2023-02-23T15:29:16.379537Z", - "iopub.status.idle": "2023-02-23T15:29:16.387224Z", - "shell.execute_reply": "2023-02-23T15:29:16.386306Z" + "iopub.execute_input": "2023-02-26T01:59:52.664478Z", + "iopub.status.busy": "2023-02-26T01:59:52.663980Z", + "iopub.status.idle": "2023-02-26T01:59:52.668249Z", + "shell.execute_reply": "2023-02-26T01:59:52.667612Z" } }, "outputs": [ @@ -771,7 +771,7 @@ }, { "cell_type": "markdown", - "id": "b96ad4a8", + "id": "96061e33", "metadata": {}, "source": [ "Or you can modify attributes later" @@ -780,13 +780,13 @@ { "cell_type": "code", "execution_count": 22, - "id": "55ece8fb", + "id": "bdc65098", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.390672Z", - "iopub.status.busy": "2023-02-23T15:29:16.390390Z", - "iopub.status.idle": "2023-02-23T15:29:16.397904Z", - "shell.execute_reply": "2023-02-23T15:29:16.396982Z" + "iopub.execute_input": "2023-02-26T01:59:52.671346Z", + "iopub.status.busy": "2023-02-26T01:59:52.670812Z", + "iopub.status.idle": "2023-02-26T01:59:52.675091Z", + "shell.execute_reply": "2023-02-26T01:59:52.674440Z" } }, "outputs": [ @@ -808,7 +808,7 @@ }, { "cell_type": "markdown", - "id": "d0ee2386", + "id": "013ee034", "metadata": {}, "source": [ "# Node attributes\n", @@ -819,13 +819,13 @@ { "cell_type": "code", "execution_count": 23, - "id": "7490d9bc", + "id": "5f30fb34", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.401446Z", - "iopub.status.busy": "2023-02-23T15:29:16.401162Z", - "iopub.status.idle": "2023-02-23T15:29:16.407975Z", - "shell.execute_reply": "2023-02-23T15:29:16.407077Z" + "iopub.execute_input": "2023-02-26T01:59:52.677560Z", + "iopub.status.busy": "2023-02-26T01:59:52.677153Z", + "iopub.status.idle": "2023-02-26T01:59:52.682171Z", + "shell.execute_reply": "2023-02-26T01:59:52.681509Z" } }, "outputs": [ @@ -850,7 +850,7 @@ }, { "cell_type": "markdown", - "id": "aa13f2c9", + "id": "e6cdd75a", "metadata": {}, "source": [ "Note that adding a node to `G.nodes` does not add it to the graph, use\n", @@ -865,13 +865,13 @@ { "cell_type": "code", "execution_count": 24, - "id": "086fe04c", + "id": "0d67c3ae", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.411602Z", - "iopub.status.busy": "2023-02-23T15:29:16.411311Z", - "iopub.status.idle": "2023-02-23T15:29:16.416923Z", - "shell.execute_reply": "2023-02-23T15:29:16.415993Z" + "iopub.execute_input": "2023-02-26T01:59:52.684960Z", + "iopub.status.busy": "2023-02-26T01:59:52.684623Z", + "iopub.status.idle": "2023-02-26T01:59:52.688859Z", + "shell.execute_reply": "2023-02-26T01:59:52.688231Z" } }, "outputs": [], @@ -885,7 +885,7 @@ }, { "cell_type": "markdown", - "id": "d79874d3", + "id": "96fa928f", "metadata": {}, "source": [ "The special attribute `weight` should be numeric as it is used by\n", @@ -906,13 +906,13 @@ { "cell_type": "code", "execution_count": 25, - "id": "14fab3bc", + "id": "83d74f74", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.420565Z", - "iopub.status.busy": "2023-02-23T15:29:16.420048Z", - "iopub.status.idle": "2023-02-23T15:29:16.430712Z", - "shell.execute_reply": "2023-02-23T15:29:16.429747Z" + "iopub.execute_input": "2023-02-26T01:59:52.691700Z", + "iopub.status.busy": "2023-02-26T01:59:52.691271Z", + "iopub.status.idle": "2023-02-26T01:59:52.696779Z", + "shell.execute_reply": "2023-02-26T01:59:52.696133Z" } }, "outputs": [ @@ -938,7 +938,7 @@ }, { "cell_type": "markdown", - "id": "c7dd6481", + "id": "be22350a", "metadata": {}, "source": [ "Some algorithms work only for directed graphs and others are not well\n", @@ -951,13 +951,13 @@ { "cell_type": "code", "execution_count": 26, - "id": "07fb35fc", + "id": "7f9d17cf", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.434754Z", - "iopub.status.busy": "2023-02-23T15:29:16.434184Z", - "iopub.status.idle": "2023-02-23T15:29:16.439535Z", - "shell.execute_reply": "2023-02-23T15:29:16.438635Z" + "iopub.execute_input": "2023-02-26T01:59:52.699771Z", + "iopub.status.busy": "2023-02-26T01:59:52.699353Z", + "iopub.status.idle": "2023-02-26T01:59:52.702771Z", + "shell.execute_reply": "2023-02-26T01:59:52.702136Z" } }, "outputs": [], @@ -967,7 +967,7 @@ }, { "cell_type": "markdown", - "id": "9cda3f7d", + "id": "258a0a35", "metadata": {}, "source": [ "# Multigraphs\n", @@ -987,13 +987,13 @@ { "cell_type": "code", "execution_count": 27, - "id": "8d607698", + "id": "b7d8bd66", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.443235Z", - "iopub.status.busy": "2023-02-23T15:29:16.442734Z", - "iopub.status.idle": "2023-02-23T15:29:16.451526Z", - "shell.execute_reply": "2023-02-23T15:29:16.450641Z" + "iopub.execute_input": "2023-02-26T01:59:52.705221Z", + "iopub.status.busy": "2023-02-26T01:59:52.704881Z", + "iopub.status.idle": "2023-02-26T01:59:52.711499Z", + "shell.execute_reply": "2023-02-26T01:59:52.710832Z" } }, "outputs": [ @@ -1023,7 +1023,7 @@ }, { "cell_type": "markdown", - "id": "1274128a", + "id": "c8621f50", "metadata": {}, "source": [ "# Graph generators and graph operations\n", @@ -1043,13 +1043,13 @@ { "cell_type": "code", "execution_count": 28, - "id": "bf4e008d", + "id": "3e5e0ff5", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.454896Z", - "iopub.status.busy": "2023-02-23T15:29:16.454393Z", - "iopub.status.idle": "2023-02-23T15:29:16.461601Z", - "shell.execute_reply": "2023-02-23T15:29:16.460519Z" + "iopub.execute_input": "2023-02-26T01:59:52.714527Z", + "iopub.status.busy": "2023-02-26T01:59:52.714013Z", + "iopub.status.idle": "2023-02-26T01:59:52.718384Z", + "shell.execute_reply": "2023-02-26T01:59:52.717741Z" } }, "outputs": [], @@ -1062,7 +1062,7 @@ }, { "cell_type": "markdown", - "id": "673279c6", + "id": "3943038c", "metadata": {}, "source": [ "# 4. Using a stochastic graph generator, e.g,\n", @@ -1073,13 +1073,13 @@ { "cell_type": "code", "execution_count": 29, - "id": "fd2feef4", + "id": "439a61bd", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.465145Z", - "iopub.status.busy": "2023-02-23T15:29:16.464785Z", - "iopub.status.idle": "2023-02-23T15:29:16.478097Z", - "shell.execute_reply": "2023-02-23T15:29:16.475533Z" + "iopub.execute_input": "2023-02-26T01:59:52.720828Z", + "iopub.status.busy": "2023-02-26T01:59:52.720487Z", + "iopub.status.idle": "2023-02-26T01:59:52.735072Z", + "shell.execute_reply": "2023-02-26T01:59:52.733943Z" } }, "outputs": [], @@ -1092,7 +1092,7 @@ }, { "cell_type": "markdown", - "id": "703ea6be", + "id": "7bc4b49a", "metadata": {}, "source": [ "# 5. Reading a graph stored in a file using common graph formats\n", @@ -1104,13 +1104,13 @@ { "cell_type": "code", "execution_count": 30, - "id": "bb8090e6", + "id": "740569d3", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.481897Z", - "iopub.status.busy": "2023-02-23T15:29:16.481379Z", - "iopub.status.idle": "2023-02-23T15:29:16.536664Z", - "shell.execute_reply": "2023-02-23T15:29:16.534820Z" + "iopub.execute_input": "2023-02-26T01:59:52.737694Z", + "iopub.status.busy": "2023-02-26T01:59:52.737345Z", + "iopub.status.idle": "2023-02-26T01:59:53.058128Z", + "shell.execute_reply": "2023-02-26T01:59:53.057088Z" } }, "outputs": [], @@ -1121,7 +1121,7 @@ }, { "cell_type": "markdown", - "id": "973a9b9f", + "id": "5ecfcaf4", "metadata": {}, "source": [ "For details on graph formats see Reading and writing graphs\n", @@ -1136,13 +1136,13 @@ { "cell_type": "code", "execution_count": 31, - "id": "26e8238c", + "id": "f8750762", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.541031Z", - "iopub.status.busy": "2023-02-23T15:29:16.540700Z", - "iopub.status.idle": "2023-02-23T15:29:16.550387Z", - "shell.execute_reply": "2023-02-23T15:29:16.549539Z" + "iopub.execute_input": "2023-02-26T01:59:53.061833Z", + "iopub.status.busy": "2023-02-26T01:59:53.061350Z", + "iopub.status.idle": "2023-02-26T01:59:53.067737Z", + "shell.execute_reply": "2023-02-26T01:59:53.067050Z" } }, "outputs": [ @@ -1168,7 +1168,7 @@ }, { "cell_type": "markdown", - "id": "1def3479", + "id": "77d7137b", "metadata": {}, "source": [ "Some functions with large output iterate over (node, value) 2-tuples.\n", @@ -1178,13 +1178,13 @@ { "cell_type": "code", "execution_count": 32, - "id": "58e06fa5", + "id": "b96e8565", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.553893Z", - "iopub.status.busy": "2023-02-23T15:29:16.553608Z", - "iopub.status.idle": "2023-02-23T15:29:16.562098Z", - "shell.execute_reply": "2023-02-23T15:29:16.561243Z" + "iopub.execute_input": "2023-02-26T01:59:53.070685Z", + "iopub.status.busy": "2023-02-26T01:59:53.070293Z", + "iopub.status.idle": "2023-02-26T01:59:53.076571Z", + "shell.execute_reply": "2023-02-26T01:59:53.075668Z" } }, "outputs": [ @@ -1206,7 +1206,7 @@ }, { "cell_type": "markdown", - "id": "14a94ada", + "id": "13102485", "metadata": {}, "source": [ "See Algorithms for details on graph algorithms\n", @@ -1225,13 +1225,13 @@ { "cell_type": "code", "execution_count": 33, - "id": "07f88ce4", + "id": "0d23c39c", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:16.565695Z", - "iopub.status.busy": "2023-02-23T15:29:16.565381Z", - "iopub.status.idle": "2023-02-23T15:29:17.065924Z", - "shell.execute_reply": "2023-02-23T15:29:17.064831Z" + "iopub.execute_input": "2023-02-26T01:59:53.079488Z", + "iopub.status.busy": "2023-02-26T01:59:53.078967Z", + "iopub.status.idle": "2023-02-26T01:59:53.394606Z", + "shell.execute_reply": "2023-02-26T01:59:53.393169Z" } }, "outputs": [], @@ -1241,7 +1241,7 @@ }, { "cell_type": "markdown", - "id": "d9234a34", + "id": "3cea4268", "metadata": {}, "source": [ "To test if the import of `nx_pylab` was successful draw `G`\n", @@ -1251,19 +1251,19 @@ { "cell_type": "code", "execution_count": 34, - "id": "43e21e1a", + "id": "12db14b2", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:17.070577Z", - "iopub.status.busy": "2023-02-23T15:29:17.069507Z", - "iopub.status.idle": "2023-02-23T15:29:17.446274Z", - "shell.execute_reply": "2023-02-23T15:29:17.445345Z" + "iopub.execute_input": "2023-02-26T01:59:53.398051Z", + "iopub.status.busy": "2023-02-26T01:59:53.397540Z", + "iopub.status.idle": "2023-02-26T01:59:53.633388Z", + "shell.execute_reply": "2023-02-26T01:59:53.632795Z" } }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "<Figure size 640x480 with 2 Axes>" ] @@ -1282,7 +1282,7 @@ }, { "cell_type": "markdown", - "id": "e7940816", + "id": "d528e97f", "metadata": {}, "source": [ "when drawing to an interactive display. Note that you may need to issue a\n", @@ -1292,13 +1292,13 @@ { "cell_type": "code", "execution_count": 35, - "id": "bad8ba76", + "id": "a261f16e", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:17.450067Z", - "iopub.status.busy": "2023-02-23T15:29:17.449768Z", - "iopub.status.idle": "2023-02-23T15:29:17.454467Z", - "shell.execute_reply": "2023-02-23T15:29:17.453666Z" + "iopub.execute_input": "2023-02-26T01:59:53.636566Z", + "iopub.status.busy": "2023-02-26T01:59:53.636122Z", + "iopub.status.idle": "2023-02-26T01:59:53.639293Z", + "shell.execute_reply": "2023-02-26T01:59:53.638784Z" } }, "outputs": [], @@ -1308,7 +1308,7 @@ }, { "cell_type": "markdown", - "id": "4b162725", + "id": "01288888", "metadata": {}, "source": [ "command if you are not using matplotlib in interactive mode." @@ -1317,19 +1317,19 @@ { "cell_type": "code", "execution_count": 36, - "id": "8a183e56", + "id": "64936191", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:17.457938Z", - "iopub.status.busy": "2023-02-23T15:29:17.457325Z", - "iopub.status.idle": "2023-02-23T15:29:18.000610Z", - "shell.execute_reply": "2023-02-23T15:29:17.999532Z" + "iopub.execute_input": "2023-02-26T01:59:53.641819Z", + "iopub.status.busy": "2023-02-26T01:59:53.641404Z", + "iopub.status.idle": "2023-02-26T01:59:53.984715Z", + "shell.execute_reply": "2023-02-26T01:59:53.983950Z" } }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "<Figure size 640x480 with 4 Axes>" ] @@ -1356,7 +1356,7 @@ }, { "cell_type": "markdown", - "id": "d91f5713", + "id": "0091f94a", "metadata": {}, "source": [ "You can find additional options via `draw_networkx()` and\n", @@ -1367,13 +1367,13 @@ { "cell_type": "code", "execution_count": 37, - "id": "7635ed9d", + "id": "52b43d16", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:18.004939Z", - "iopub.status.busy": "2023-02-23T15:29:18.004160Z", - "iopub.status.idle": "2023-02-23T15:29:18.194154Z", - "shell.execute_reply": "2023-02-23T15:29:18.193290Z" + "iopub.execute_input": "2023-02-26T01:59:53.987815Z", + "iopub.status.busy": "2023-02-26T01:59:53.987362Z", + "iopub.status.idle": "2023-02-26T01:59:54.112065Z", + "shell.execute_reply": "2023-02-26T01:59:54.111405Z" } }, "outputs": [ @@ -1396,7 +1396,7 @@ }, { "cell_type": "markdown", - "id": "22d018cc", + "id": "d883d5f7", "metadata": {}, "source": [ "To save drawings to a file, use, for example" @@ -1405,19 +1405,19 @@ { "cell_type": "code", "execution_count": 38, - "id": "47c0c750", + "id": "6ce05699", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:18.198557Z", - "iopub.status.busy": "2023-02-23T15:29:18.198073Z", - "iopub.status.idle": "2023-02-23T15:29:18.430655Z", - "shell.execute_reply": "2023-02-23T15:29:18.429661Z" + "iopub.execute_input": "2023-02-26T01:59:54.115130Z", + "iopub.status.busy": "2023-02-26T01:59:54.114723Z", + "iopub.status.idle": "2023-02-26T01:59:54.335882Z", + "shell.execute_reply": "2023-02-26T01:59:54.335264Z" } }, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAApQAAAHzCAYAAACe1o1DAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC8qElEQVR4nOzdd1zN+x8H8Nc5nUrDSEjRkAaSdaWMkJnM7JW9540QV8ooe2VnpjIjssrKjGSlUilaFxUVUqlO5/v7w+VnNnTO+Z7xfj4eHo97dc7n+zr3ns55fz+TwzAMA0IIIYQQQv4Ql+0AhBBCCCFEulFBSQghhBBCKoQKSkIIIYQQUiFUUBJCCCGEkAqhgpIQQgghhFQIFZSEEEIIIaRCqKAkhBBCCCEVQgUlIYQQQgipECooCSGEEEJIhVBBSQghhBBCKoQKSkIIIYQQUiFUUBJCCCGEkAqhgpIQQgghhFQIFZSEEEIIIaRCqKAkhBBCCCEVQgUlIYQQQgipECooCSGEEEJIhVBBSQghhBBCKoQKSkIIIYQQUiFUUBJCCCGEkAqhgpIQQgghhFQIFZSEEEIIIaRCqKAkhBBCCCEVQgUlIYQQQgipECooCSGEEEJIhVBBSQghhBBCKoQKSkIIIYQQUiFUUBJCCCGEkAqhgpIQQgghhFQIFZSEEEIIIaRCqKAkhBBCCCEVQgUlIYQQQgipECooCSGEEEJIhVBBSQghhBBCKoQKSkIIIYQQUiFUUBJCCCGEkAqhgpIQQgghhFQIj+0AhBAiDXIL+EjKzEUhXwAlHhcGmmpQU6aPUEIIAaigJISQ34pPz4FfWApC4jKQkpUH5pufcQDoVVeFjWktjLDUg7FWZbZiEkII6zgMwzClP4wQQuRHalYeFgVE4mbCWyhwOSgW/P5j8svPrY1qwMPeHLrVVcWYlBBCJAMVlIQQ8o0j4SlwDYwGX8CUWEj+SIHLAY/LwdI+ZhhqoSfChIQQInmooCSEkP9sDYnHuovPKtyOUzcTzLAxFkIiQgiRDrTKmxBC8LlnUhjFJACsu/gMR8NThNIWIYRIAyooCSFyLzUrD66B0UJtc0lgNFKz8oTaJiGESCoqKAkhcm9RQCT45ZgvWRZ8AYNFAZFCbZMQQiQVFZSEELkWn56Dmwlvy7UApyyKBQxuJrxFQkaOUNslhBBJRAUlIUSu+YWlQIHLEUnbClwOfO/SXEpCiOyjgpIQItdC4jKE3jv5RbGAQcizDJG0TQghkoQKSkKI3PpYwEeKiBfOpGTmIbeAL9JrEEII26igJITIreTMXIh6I14GQFJmroivQggh7KKNzQkhMisvLw+vX7/+6U9aWhpev36N1DwF5LadJvIcXfEYzXU1oKurCz09Pejq6kJDQwMcjmjmbhJCiLhRQUkIkSoMwyA7O/u3ReK3f3Jyvl9hraysjNq1a0NbWxva2tpQrWOCW+rWog8dtBIvo8LA5/9/6FtVVfVrcfltofntP6uq0rnghBDpQAUlIUQi8Pl8ZGRklFoopqWlobCw8LvnVq1a9btC8cufH/+uWrVq3/UK5hbw0dgtWKTD3hwAUW7dUYnHQXp6OlJTU5GamoqUlJSf/jktLe2751avXv23xaauri7q1KkDRUVFEaYnhJCyoYKSSJzcAj6SMnNRyBdAiceFgaYa1JR5bMcifygvL++XvYc//t2bN2/w7ccRh8NBzZo1Sy0Sa9euXaGevA5rQ5AswoU5+pqquO5kU6bHFhQU4OXLl18LzV8Vnu/evfv6eA6HA21t7RJ7OWvVqgUul6bLE0JEi76liUSIT8+BX1gKQuIykJKV912PEQeAXnVV2JjWwghLPRhrVWYrJvkPwzB49+5dmYadP3z48N1zlZSUvisK27Rp88tCsVatWuDxRP8RZWNaCz5hySLZOkiBy4GNSa0yP15ZWRmGhoYwNDT87WM+fvz42x7OJ0+eIDU1Ffn5+V8fr6SkhLp165ZYdFatWpXmcxJCKoR6KAmrUrPysCggEjcT3kKByynxS/3Lz62NasDD3hy61Wl+mbDx+Xy8efOmTMPOBQUF3z23SpUqZRp2lrTFKPHpOei66YbI2r/s2B5GtcR3E8QwDDIzM0scWn/58iWKi4u/PkddXb3EoXVdXV2oqKiI7TUQQqQPFZSENUfCU+AaGA2+gClX75AClwMel4Olfcww1EJPhAllR35+fpmHnQUCwdfnfRl2Lq1QrF27NtTU1Fh8hRXjsDcMoS8yhdpLqcDloI2hJnzGWwqtTWEpLi5GWlraL4vNL/+ckfH9huw1atQosZdTR0dHLD3KpHQ0bYiwgQpKwoqtIfFYd/FZhdtx6maCGTbGQkgkfb4MO5elUHz//v13z1VUVPxl7+GPf1erVi25WPSRmpWHLhuvo4AvKP3BZaTM4+KyYwep7Un/9OkTXr58+V2h+WPh+e37isvlQkdH57tezR8Lz5o1a0pU77QsoWlDhG1UUBKxOxKeAueTkUJrb3V/cwyRoZ7K4uJiZGRklFoopqWl4dOnT989t3LlymUadq5evTp9sf+A3pfl9+HDh18Wmt/++7dTI5SVlVG3bt2fhtO//feqVauy+IqkD00bIpKCCkoiVvLcE/Tp06dfFok/FooZGRnfDTsDKNOws7a2tlQPO0sCYfWcz+tmiuk2RkJIJN0YhsHbt29LHFp/9erVd+/3KlWqlDi0XrduXVSqVInFVyU5aNoQkSRUUBKxkrW5agzD4P3792Uadv52uxfg87Bz7dq1Sy0UtbS05GLYWVJU9Et6WR8zme+ZFCY+n//51KLfLCBKTU3FmzdvvntOzZo1S9wUXltbGwoKCiy9IvGgaUNE0lBBScRGmlbTFhcX482bN2UqFH8cdlZXV/9lkfhjoVi9enXaH1BC0TCiZMnPz8e///5b4sr1b09FUlBQ+Dqf83eFZ40aNaR22gdNzyCSiApKIjZugdEi3e/PwVIfbn3MSnxcQUHBb/dL/HHY+dttVYDPq1zLMuysrq4u9NdH2PFloYP3pXAwajWAbwoQDgA9TVXYmNTCSCs9sW4NRH72/v373/Zwfvnz7QlLlSpV+u0WSV/+vXJlyft/Ks/Thohko4KSiI2oTyTRqawIjzZKJfYmZmdnf/ccHo9X5mFnJSUlkWUnkis/Px/q6urYssMLHXoNpK1YpJRAIMCbN29KHFp//fr1d/M5q1atWuLenHXr1oWysrJYX4esTRsisoM+DYlYfCzgI0WExSQAvPxQiE7d+oIp+gQ1NbXvikIzM7NfFoqampo07ExKFBUVBYFAAIvmTWCmQyuQpRWXy4WWlha0tLTQsmXLXz6mqKgIr169+mWxGRYWBn9/f2RmZn73HC0trRKH1mvXri20+Zzx6Tm4mfBWKG19q1jA4GbCWyRk5FBPO/ljVFASsUjOzIWou8I5HA7OXb+Hdo0NJHKoikiniIgIcLlcNG7cmO0oRMQUFRWhr68PfX393z4mLy/vp6H0L4XnxYsXkZKSgtzc3K+P5/F4qFOnTokr18u6jZdfWEqpc3r/lAKXA9+7KaVOGyLkd6igJGJRKMT5PiWpXacuFZNEqCIiImBiYkJHDxIAgKqqKkxNTWFqavrLn385cOB3e3PevXsX//77L4qKir4+R0VFpcS9OXV1daGuro6QuAyRFJPA517KkGcZcAMVlOTPUEFJxEKJJ55hZXFdh8iPiIgINGnShO0YREpwOBxoaGhAQ0Pjt+8bgUCA9PT0Xw6tR0dHIygoCGlpafh2iYNGLW1UGev13cIwYUvJzENuAZ/mBpM/Qu8aIhYGmmrgACId9ub8dx1ChIVhGDx58gS2trZsRyEyhMvlfp3H3apVq18+prCwEK9evfpabD5KegP/j6Ld5ogBkJSZS3OFyR+hgpKIhZoyD3rVVUW6yltPU5XurIlQJScn4/3792jatCnbUYicUVJSgoGBAQwMDAAAjVKy4b8jVOTXFdf0JCJ7aHyQiI2NaS0ocEVzh80IilE191+8f/9eJO0T+RQREQEAVFAS1tG0ISLp6J1DxGaEpZ7IJpRzuAq4vMMVurq6cHJyQmpqqkiuQ+RLREQEqlevjjp16rAdhci5L9OGRImmDZGKoIKSiI2xVmVYG9UQei+lApcDa6MaSHh4C9OnT8fevXtRr149jBgxAg8fPhTqtYh8iYiIQNOmTaX2iD4iO75MGxIlmjZEKoIKSiJWHvbm4Am5oORxOfCwN4eOjg5WrlyJ1NRUbNiwAaGhofjrr7/QqVMnnD9//rsTMAgpiy8FJSGSQJTThhS4HNiY1BJJ20Q+UEFJxEq3uipc7H69f9ufWtbH7LszaNXV1TFr1izEx8fj2LFj+PjxI3r27Alzc3Ps3bsXnz59Eur1iWzKycnB8+fPqaAkEkOU04aKBQxGWumJpG0iH6igJGIlEAhwfsti5NzyE0p787qZYojFrz8EeTweBg0ahLCwMNy4cQPGxsaYOHEiDAwMsGLFip+OUCPkW5GRkQBoQQ6RHPoaytDmvAMj4Au13S/ThujYRVIRVFASsWEYBo6Ojjhy5Ah2ze6PVf3NoczjlnsIR4HLgTKPi9X9zTHdxqjUx3M4HFhbW+PUqVOIiYlBv3794O7uDl1dXcyYMQPPnz//05dEZFhERAR4PB4aNWrEdhRCEB0dDSsrKzzymg8eV7hf3V+mDRFSEVRQErFZuXIlPD09sX37dgwcOBBDLfRw2bED2hhqAkCpheWXn7cx1MRlxw6/7ZksiampKXbu3ImUlBQsWLAAR48ehbGxMQYMGIA7d+6U/0URmRUREYEGDRpAWVmZ7ShEjhUXF2P9+vX466+/UFBQgNvBgXDvL9xe8x+nDRHyJzjMt2c7ESIie/bswcSJE+Hm5gZXV9effh6fngO/sBSEPMtASmbedyfqcPB59aGNSS2MtNIT6rBMfn4+fHx8sH79ejx79gytW7eGk5MT+vbtCwUFBaFdh0if1q1bo379+vD19WU7CpFTiYmJGD16NG7duoU5c+ZgxYoVqFSpEgBga0g81l18VuFrzOtmWqaRHkJKQwUlEblTp05hwIABmDJlCrZu3VrqFiy5BXwkZeaikC+AEo8LA001kW9lIRAIcO7cOaxbtw43btxA/fr1MWfOHIwZMwaqqnTnLm8EAgGqVKkCV1dXzJs3j+04RM4wDIM9e/Zgzpw5qFGjBg4cOIAOHTr89Lgj4SlwDYwGX8CUa7EOU8yHkiIPK/qZ/9FIDyG/QgUlEakbN26gW7du6N27N44cOSIVvX737t3D+vXr4e/vj2rVqmHatGmYMWMGtLS02I5GxCQ+Ph4mJiYIDg5Gt27d2I5D5Mjr168xYcIEnD9/HhMmTMCGDRtQufLvR2VSs/KwKCASNxPeQoHLKbGw/PJz5exECO76IvLuta89noRUFBWURGSePHmC9u3b46+//sL58+elbi5aYmIiNm/ejD179qCoqAgODg6YM2cOLdKQA/7+/hg0aBDS0tLoRoKIzbFjxzB16lQoKipiz5496NWrV5mfW55pQ0WZ/6Jp06ZwdnbGsmXLhP46iHyigpKIRGJiItq0aQMdHR2EhISgSpUqbEf6Y9nZ2fDy8sLmzZvx+vVr2NnZwcnJCR07dqQTVGSUi4sLdu/ejbS0NLajEDmQlZWFGTNm4PDhwxg4cCB27NiBGjVq/HF7ZZk25OrqipUrV+LRo0cwMzOr6EsghApKInwZGRlo27YtGIbB7du3ZaaHp7CwEIcPH8b69esRGRmJFi1aYO7cuRg0aBAUFRXZjkeEqE+fPigoKEBwcDDbUYiMCwoKwvjx45GXl4dt27Zh2LBhYrlR/fTpE5o1awZNTU3cvHkTXCFvRUTkD72DiFDl5OTAzs4OHz9+xMWLF2WmmAQAJSUljB49GhEREQgODkaNGjUwYsQI1K9fHxs2bMCHDx/YjkiEhI5cJKL28eNHTJkyBT169EDjxo0RFRWF4cOHi23Uo1KlSti1axdCQ0Ph5eUllmsS2UYFJRGagoIC2NvbIz4+HkFBQTA0NGQ7kkhwOBx069YNwcHBiIiIgI2NDZydnaGrq4t58+YhNTWV7YikArKzs5GSkkIFJRGZ27dvo2nTpvDx8cH27dsRFBSEOnXqiD1Hhw4dMGHCBCxYsACvXr0S+/WJbKGCkgiFQCDAqFGjcOvWLQQGBsrNl3GTJk3g7e2NxMRETJ06Fbt374ahoSFGjhyJR48esR2P/IEnT54AoCMXifAVFBRgwYIFsLa2Ru3atREREYGpU6eyOhd7zZo1qFSpEmbPns1aBiIbqKAkFcYwDGbPng1/f38cPnz4l/ulybo6depg1apVSE1Nxbp163Dr1i20aNECnTt3xoULF0BTlaVHREQElJSUYGpqynYUIkMeP34MCwsLbNy4EStXrsSNGzdgZMT+huIaGhrYvHkz/P39cebMGbbjEClGBSWpMHd3d2zduhU7d+6Evb0923FYVblyZcyePRsJCQk4evQoPnz4ADs7O5ibm2P//v0oKChgOyIpRUREBMzMzGihFREKPp8PDw8PtGrVChwOB/fv38eCBQskak/eIUOGoEePHpg+fTpycnLYjkOkFBWUpEK8vLzg4uKC5cuXY+LEiWzHkRg8Hg+DBw/GvXv3cP36dRgaGmLcuHEwMDCAh4cHsrKy2I5IfoMW5BBhiY+Ph7W1NVxcXODk5IR79+6hSZMmbMf6CYfDwfbt25GZmQkXFxe24xApRQUl+WMnT57E1KlTMWPGDPzzzz9sx5FIHA4H7du3R2BgIGJiYtCnTx8sW7YMurq6mDlzJp4/f852RPINPp+PqKgoKihJhQgEAmzbtg1NmzbF27dvcfPmTXh4eEj04Q4GBgZYtmwZPD09ce/ePbbjEClE+1CSP3L9+nV0794d/fr1w6FDh2gPs3LIyMjA9u3bsW3bNmRlZcHe3h5OTk6wsrJiO5rce/r0KczMzHD16lXY2NiwHYdIodTUVIwbNw6XL1/GtGnTsGbNGqipqbEdq0z4fD5atWoFgUCA8PBwmvZByoWqAFJujx8/Rp8+fWBtbQ1vb28qJsupVq1acHNzQ3JyMrZt24YnT56gdevWaNeuHQICAlBcXMx2RLkVEREBgFZ4k/JjGAY+Pj4wNzdHTEwMgoODsW3bNqkpJoHPU3V2796NyMhIbNq0ie04RMpQJUDK5cWLF7C1tYWJiQlOnjwp0UM4kk5VVRVTpkxBbGwsTp06BS6Xi/79+6NBgwbYsWMH8vLy2I4od548eYK6deuievXqbEchUuTNmzcYOHAgRo0ahV69eiEyMhLdunVjO9Yf+euvvzB79my4urrixYsXbMchUoSGvEmZpaeno23btuByubh9+zZq1qzJdiSZExYWhvXr1+PEiRPQ0NDAtGnTMH36dJk6cUiS2dnZgcvl4uzZs2xHIVIiMDAQEydORHFxMXbu3ImBAweyHanCPn78CDMzMzRo0ABBQUGs7pNJpAf1UJIy+fDhA3r06IG8vDxcvHiRikkRsbS0xLFjx5CQkIARI0Zgw4YN0NfXx8SJExETE8N2PJlHK7xJWX348AHjxo1D37590apVK0RFRclEMQkA6urq2LFjBy5evIjDhw+zHYdICSooSam+HKn44sULBAUFwcDAgO1IMq9evXrYvHkzUlNT4ebmhnPnzqFRo0bo1asXrl27Rhuli8Dbt2/x6tUrKihJqUJCQmBubg5/f3/s3bsXgYGBqF27NtuxhMrOzg6DBw/G33//jczMTLbjEClABSUpUXFxMUaOHInQ0FCcOXNGIvdQk2UaGhpwdnZGYmIiDhw4gOTkZNjY2MDCwgJHjhwBn88X2bVzC/iIfvUej1KyEf3qPXILRHctSUALckhp8vPz4ejoiE6dOqFevXp48uQJxo0bJ7NDwps3b0ZhYSHmzZvHdhQiBWgOJfkthmEwffp07Nq1CwEBAejTpw/bkeQewzC4ePEi1q1bh8uXL0NPTw9///03JkyYgMqVK1e4/fj0HPiFpSAkLgMpWXn49sOBA0CvuipsTGthhKUejLUqfj1JsmHDBixevBg5OTkSdYoJkQzh4eEYNWoUEhMTsXLlSsyePVsudrjYvXs3Jk2aRFtpkVJRQUl+a+nSpXBzc8OePXswfvx4tuOQH0RERGD9+vU4fPgwVFVVMXnyZMyaNQt169Ytd1upWXlYFBCJmwlvocDloFjw+4+FLz+3NqoBD3tz6FZXrcjLkBijR49GbGwswsLC2I5CJEhRURFWrFgBd3d3NGvWDAcPHkSjRo3YjiU2AoEAHTt2RFpaGp48eYJKlSqxHYlIKNm/vSJ/ZOfOnXBzc4OHhwcVkxKqadOmOHjwIBITEzFlyhTs2rUL9erVg4ODAx4/flzmdo6Ep6DLxusIffF5nlRJxeS3Pw99kYkuG6/jSHjKH78GSUILcsiPnj59CisrK7i7u2Px4sW4c+eOXBWTAMDlcrFr1y4kJSXB3d2d7ThEglFBSX7i7++PadOmYfbs2XB2dmY7DilF3bp1sXr1aqSmpmLNmjW4ceMGmjdvjq5duyIoKKjEBTxbQ+LhfDISBXxBqYXkj4oFDAr4AjifjMTWkPiKvgxWFRYW4unTp1RQEgCfe+U2bNiAFi1aIC8vD3fv3oWbm5vcnhzTsGFDLFq0CKtWrUJ0dDTbcYiEooKSfOfq1asYMWIEhg0bhg0bNsjsZHNZVKVKFTg6OuL58+c4fPgwsrOz0aNHDzRp0gQHDhxAQUHBd48/Ep6CdRefCeXa6y4+w1Ep7qmMjY1FUVERFZQESUlJ6NSpE+bOnYtp06bh4cOHaNmyJduxWLdw4ULUr18fkyZNgkAgYDsOkUBUUJKvHj16hH79+sHGxgb79++XiwnnsojH42Ho0KEIDw/HtWvXYGBggLFjx8LAwAArV65EdnY2UrPy4Boo3J6GJYHRSM2SztN9vqzwNjc3ZzkJYQvDMNi7dy/Mzc2RmJiIq1evYsOGDVBRUWE7mkRQVlaGl5cXQkND4eXlxXYcIoFoUQ4BACQkJKBt27YwMDDAlStXoK6uznYkIkQxMTHYuHEjDh48CB6Ph4ZTtyFLsQaKhfjbr8DloI2hJnzGWwqvUTFxcnLCiRMnkJiYyHYUUk65BXwkZeaikC+AEo8LA001qCnzytVGWloaJkyYgHPnzmHcuHHYuHEjqlSpIqLE0m3ixIk4duwYYmJioKOjw3YcIkGooCRIS0tD27ZtoaioiFu3bqFGjRpsRyIikp6eDo9t+3C6SHT7iV52bA+jWtK1pVDXrl2hpqaGU6dOsR2FlIEwt7fy9/fHlClToKCggD179qB3794izS7tsrOz0bBhQ7Rr1w7+/v5sxyEShMY05dz79+9ha2uLgoICBAcHUzEp47S0tKDRsg8URDQ1VoHLge9d6ZpLyTAMrfCWEqlZeXDYG4aum27AJywZyT8UkwDAAEjOyoNPWDK6broBh71hv5yKkZ2djREjRmDQoEHo0KEDoqKiqJgsAw0NDWzatAknTpxAYGAg23GIBKGCUo59+vQJffv2RXJyMoKCgqCvr892JCIGIXEZQh3q/laxgEHIswzRNC4iaWlpePPmDRWUEk6Y21sFBwfD3Nwc586dg4+PD/z9/VGzZk3RhZcxQ4YMQY8ePTB9+nTk5OSwHYdICCoo5VRxcTFGjBiBsLAwnD17Fo0bN2Y7EhGDjwV8pIh44UxKZp5UHdNIRy5KPmFtb7Uh+CmmTZsGW1tbNGzYEJGRkRg5ciTtZlFOHA4H27dvR1ZWFhYvXsx2HCIhqKCUQwzDYNq0aTh9+jSOHz+Otm3bsh2JiElyZu5PQ4TCxgC4+TgWr1+/xvv371FUVCTiK1ZMREQE1NXVUa9ePbajkF8Q5vZWntcScSQ8BVu3bkVwcDB0dXWF0q48MjAwwPLly7Flyxbcu3eP7ThEAtCiHDm0ZMkSLF++HPv378eYMWPYjkPE6FFKNux3hIr8Oq+956Dw9f+LAB6PB1VVVaiqqkJNTe3rP3/751d/X57HKikp/VFP0/Dhw5GcnIzbt28L8z8BEYLUrDx02XgdBXwh7XvIMFDicXFlTkeZOTKUTXw+H5aWliguLkZ4eLjcbvxOPivf3gpE6m3duhXLly/H6tWrqZiUQ0o88QxKeO3cjpq8AuTm5iIvL++7P7/6u3fv3uHly5c//X1eXh4+ffpUpmsqKCj8svgsrVgNCQlBgwYNcOjQoVKLWGVlZRoeFaNFAZHgl3OIu0QcDoqZz+1K4/ZWkobH48HLywutWrXCxo0bMX/+fLYjERZRD6UcOXbsGIYOHQpHR0esW7eOvhjlUG4BH43dgkU67M0BEOXWvdx7Af5OcXEx8vPzSy1Kf/f3JT02NzcXWVlZZX9tHI7Qe1Z//PtKlSrRoQL4vDVQ1003RNa+NG5vJanmzp2LHTt2ICoqCoaGhmzHISyhglJOXL58GXZ2dhgyZAi8vb3pC0uOdVgbgmQRLszR11TFdScbkbUvTA8ePEDLli1x+/ZtNGvWrFyFankL2Ly8vBLPVf+WioqKSIrVL39UVFSgoKAg4v+6FeMWGA2fsORyL8IpCwUuBw6W+nDrYyb0tuXRx48fYWZmhgYNGiAoKIg6K+QUDXnLgfv378Pe3h5dunTBvn37qJiUczamtUT6RW1jUkvo7YpKREQEOBwOmjZt+rXYEhWGYfDp0yehFKpZWVm//Pvc3NwyF62VKlUSSbH65e9VVFTA4/35V0xIXIZI3qPA/7e3cgMVlMKgrq6OHTt2oGfPnjh06BBGjBjBdiTCAiooZVx8fDzs7OzQuHFjHD9+nCZNE4yw1MOBO0kiabtYwGCklZ5I2haFiIgIGBkZQU1NTeTX4nA4UFFRgYqKCjQ1NUVyDYZhUFhY+EfD/z/+3evXr3/72OLi4jLlUVJS+qOilFdJDclZevg8gUI0vmxvJaypGfLuywjY33//DVtbW5G9x4nkoiFvGfbq1Su0bdsWKioquHnzJv2Ck68c9oYh9EWmUHuApPEs744dO6JmzZo4fvw421GkBsMwKCoq+uNCtSzFbqFaLdQatVHkr+XczHYw06kq8uvIi7S0NDRs2BD29vbYt28f23GImNGtmYx69+4dbG1twefzERwcTMUk+Y6HvTm6bLwu1IKSx+XAw95caO2J2pcjF+fOnct2FKnC4XCgpKQEJSUlVKtWTSTXENf2VoXC2o6IAABq166NNWvWYNKkSRg5ciQ6derEdiQiRjSZTgbl5+ejT58+ePnyJW3eS35Jt7oqlgp5QcKyPmZStbdfamoq3r17RyfkSCBxbW8lruvIk/Hjx8Pa2hqTJ09Gfn4+23GIGNFvk4zh8/kYNmwY7t+/j7Nnz6JRo0ZsRyISaqiFHpy6mQilrXndTDHEQnrmTgJ05KIkM9BUE+Hsyc84/12HCBeXy8WuXbuQkpICd3d3tuMQMaKCUoYwDIMpU6bg7Nmz8Pf3R+vWrdmORCTcDBtjrOpvDmUeFwrc8n2FK3A5UOZxsbq/OabbGIkooehERESgWrVq1IMvgdSUedATcW+3nqYqLcgRkYYNG2LhwoVYvXo1oqKi2I5DxIQKShmyePFi7N27F/v27YOdnR3bcYiUGGqhh8uOHdDG8L95toKSV/B+KTzbGGrismMHqeuZ/CIiIgJNmzalPfMklI1prXLf5JSVtG1vJY0WLlyI+vXrY9KkSRAIaK6qPKCCUkZ4enrCw8MDa9euxahRo9iOQ6SMbnVVbLY3xpsDs9BU7QP0NVV/GnLk4POm5Q6W+rjs2B4+4y2las7kj74UlEQyjbDUE+k+lNK0vZU0UlZWhpeXF+7cuYNdu3axHYeIAfX3y4DDhw9j9uzZcHJygpOTE9txiJTy9/fHp4wk7JzYGdra2sgt4CMpMxeFfAGUeFwYaKrJzBBhbm4uEhISqKCUYMZalWFtVENk21vRsYui1759e0ycOBHOzs7o27cvdHR02I5ERIj2oZRyFy9eRK9evTBs2DDs37+fTsEhf8za2hpqamoICgpiO4rI3b17F61bt8b9+/fx119/sR2H/EZqVh66bLyOAiFu76PM4+KyYwep7l2XJtnZ2WjYsCHatWsHf39/tuMQEaLqQ4rdu3cP/fv3R7du3bBnzx4qJskfS0xMxK1btzBy5Ei2o4hFREQEFBQUYGZGR+9JMtreSvppaGhg8+bNOHHiBE6fPs12HCJCVIFIqbi4ONjZ2aFJkyY4duwYHalIKsTPzw9qamqwt7dnO4pYREREwNTUFJUqVWI7CimFvG9vJQsGDx4MOzs7zJgxAzk5OWzHISJCBaUUevnyJbp16wYtLS2cPXsWqqp0t03+HMMw8PX1hb29vVjOtJYEtCBHulRkeysuB1K9vZUs4HA42LZtG7KysrB48WK24xARoYJSymRnZ8PW1hYMwyA4OBjVq1dnOxKRcg8ePEBcXJzcDHcLBAI8efKECkop8+P2VqUVll9+rvAmARdnW1PPJMsMDAywfPlybNmyBffu3WM7DhEBWpQjRfLy8tCtWzfExMTg1q1baNiwIduRiAyYPXs2jh07htTUVPB4srGKuyQvXrxA/fr1ceHCBdja2rIdh/yB+PQc+IWlIORZBlIy8/DtlxgHnzcttzGpBVNeBob37IRDhw5h2LBhbMUl/+Hz+bC0tASfz8f9+/dpqpaMoYJSSvD5fNjb2+Pq1au4evUqLC0t2Y5EZEBRURHq1KmDkSNHYsOGDWzHEYuAgAD0798fr169gra2NttxSAWVtr1V37598eTJE8TGxkJZWZnFpAQAHj58CAsLC6xcuRLz589nOw4RIhrylgIMw2DSpEkICgrCiRMnqJgkQnPp0iW8efMGDg4ObEcRm4iICNSsWRO1a9dmOwoRAjVlHsx0qqK5ngbMdKr+tFfq6tWrkZqaiq1bt7KUkHyrRYsW+Pvvv+Hm5obnz5+zHYcIEfVQSgFnZ2esXr0avr6+GDFiBNtxiAwZPnw4IiIiEBUVJTdHENrb2+Pjx4+4dOkS21GImEydOhVHjhzB8+fPad65BPj48SMaN24MExMTBAcHy81nj6yjHkoJt3HjRqxevRobNmygYpIIVU5ODk6dOgUHBwe5+kCnFd7yx9XVFUVFRfDw8GA7CgGgrq6O7du349KlS/Dz82M7DhESKiglmK+vL+bMmYMFCxbA0dGR7ThExpw8eRL5+fkYPnw421HE5sOHD0hMTKSCUs7Url0b8+fPx5YtW5CUlMR2HALAzs4OQ4YMgaOjIzIzM9mOQ4SAhrwl1IULF9CnTx84ODhg7969ctWDRMSja9euKCoqwrVr19iOIja3bt2CtbU1IiIi0KRJE7bjEDH6+PEjjI2N0alTJ+oVkxBpaWlo2LAh+vXrh/3797Mdh1QQ9VBKoLCwMAwcOBA9evSAl5cXFZNE6F6+fIkrV67I1WIc4PNwt6KiIho0aMB2FCJm6urqWLZsGQ4dOoQHDx6wHYfgc8/x2rVrceDAAVy9epXtOKSCqIdSwsTExKBdu3Zo2LAhLl68SKfgEJFYt24dFi9ejLS0NFSrVo3tOGIzadIk3Lt3D48fP2Y7CmEBn89HkyZNULt2bVy5coVu1iWAQCBAx44d8fr1azx58gQqKipsRyJ/iHooJUhqaiq6d+8OHR0dnDlzhopJIjI+Pj7o06ePXBWTAC3IkXc8Hg9r1qxBSEgIzp8/z3YcAoDL5WLXrl1ISUmBu7s723FIBVBBKSGysrJga2sLLpeLoKAgaGhosB2JyKgnT57gyZMncnPU4hfFxcWIjIykglLO9ezZEx07dsT8+fPB5/PZjkMANGzYEIsWLcLq1asRFRXFdhzyh6iglAB5eXno1asXMjIyEBwcjDp16rAdicgwPz8/aGpqyt2xgwkJCcjPz6fFOHKOw+Fg7dq1ePr0KQ4cOMB2HPIfZ2dnGBkZYdKkSRAIBGzHIX+ACkqWFRUVYdCgQXjy5AnOnz8PU1NTtiMRGVZcXAw/Pz8MGTIESkpKbMcRq4iICACgHkqCli1bYtiwYViyZAlyc3PZjkMAKCsrw8vLC3fu3MGuXbvYjkP+ABWULBIIBJgwYQIuXbqEkydPwsLCgu1IRMZdv34dL1++lLvhbuBzQamtrY2aNWuyHYVIAHd3d2RmZsrNGfbSwNraGhMnToSzszNevnzJdhxSTlRQsmjBggU4ePAgvL290a1bN7bjEDng4+OD+vXrw8rKiu0oYkcLcsi36tWrhxkzZmDNmjVIT09nOw75z+rVq6GiooJZs2axHYWUExWULFm3bh3WrVuHzZs3Y9iwYWzHIXIgLy8PJ06cwMiRI+VyuxQqKMmP/vnnH/B4PCxdupTtKOQ/Ghoa2Lx5M06ePInTp0+zHYeUAxWULDh48CDmzZuHRYsW0V0YEZvAwEDk5OTI5XB3VlYW/v33XyooyXeqV6+Of/75B15eXoiNjWU7DvnP4MGDYWdnh+nTp+PDhw9sxyFlRAWlmJ07dw7jxo3DhAkTsGLFCrbjEDni6+sLKysrGBkZsR1F7GhBDvmdGTNmoG7duli4cCHbUch/OBwOtm/fjuzsbCxevJjtOKSMqKAUo9DQUAwaNAi9e/fGjh075HLYkbDjzZs3CAoKksveSeBzQamsrAwTExO2oxAJU6lSJbi7u+PUqVO4efMm23HIf/T19bFixQps3boVYWFhbMchZUBHL4pJdHQ0rK2t0bhxYwQHB9PxUkSstmzZgjlz5uD169eoUaMG23HEbuzYsYiMjMT9+/fZjkIkkEAggIWFBRQVFXHnzh262ZcQfD4flpaW4PP5uH//PhQVFdmOREpAPZRikJKSgu7du0NXVxeBgYFUTBKx8/X1RY8ePeSymARoQQ4pGZfLxdq1axEWFgZ/f3+245D/8Hg87N69G1FRUbS9kxSgglLE3r59i+7du0NRURFBQUFyd3YyYV9cXBzu3bsHBwcHtqOwoqioCNHR0VRQkhJ16tQJdnZ2WLhwIQoLC9mOQ/7TokULODo6ws3NDc+fP2c7DikBFZQilJubi169eiEzMxMXL16EtrY225GIHPLz80OVKlXQq1cvtqOwIi4uDoWFhVRQklKtXr0aiYmJ2LlzJ9tRyDeWLl0KLS0tTJ06FTRLT3JRQSkiRUVFGDhwIKKjo3HhwgUYGxuzHYnIIYZh4Ovri4EDB8rtVIsvK7zpDG9SmsaNG2Ps2LFYtmwZ3r17x3Yc8h81NTVs374dly5dgp+fH9txyG9QQSkCAoEAY8eOxZUrVxAQEIC//vqL7UhEToWGhiIxMVFuh7uBzwWlnp4eNDQ02I5CpMCyZcuQl5eH1atXsx2FfMPOzg5Dhw6Fo6Mj3r59y3Yc8gtUUAoZwzBwcnLCoUOH4Ovriy5durAdicgxX19f6Orqon379mxHYQ0tyCHloaOjg7lz52LTpk1ITU1lOw75xqZNm8Dn8+Hk5MR2FPILVFAK2Zo1a7Bx40Zs2bIFgwcPZjsOkWMFBQU4evQoRowYAS5Xfn/VqaAk5TV//nxUqVKFNtWWMFpaWli7di28vb1x9epVtuOQH8jvt4wI7N+/H87OznBxccH06dPZjkPk3IULF5CdnS23m5kDQHp6OtLT06mgJOVSuXJluLm5wcfHB48fP2Y7DvnGuHHj0L59e0yePBn5+flsxyHfoIJSSM6cOYOJEydi0qRJWLp0KdtxCIGvry+aN28OMzMztqOwho5cJH9qwoQJMDY2xvz589mOQr7B5XKxa9cupKSk0PHFEoYKSiG4ffs2Bg8ejL59+2L79u10ygJhXXZ2Ns6cOSPXvZPA54JSTU0N9evXZzsKkTKKiopYvXo1Ll26hIsXL7Idh3yjQYMGWLRoEdasWYOoqCi245D/0NGLFRQVFQVra2s0a9YMFy5cQKVKldiORAh2796NKVOm4N9//5Xr/U9HjhyJ58+f486dO2xHIVKIYRhYW1sjJycHDx8+hIKCAtuRyH8KCgrQrFkzVKtWDbdv35breeKSgv4PVEBycjK6d+8OfX19nDp1iopJIjF8fHzQpUsXuS4mAVqQQyqGw+Fg3bp1ePLkCXx8fNiOQ76hrKwMLy8v3L17lzailxBUUP6hL0cqVqpUCUFBQahatSrbkQgBACQlJeHmzZtyP9xdUFCA2NhYKihJhVhZWWHQoEFYvHgxLQKRMNbW1pg4cSKcnZ3x8uVLtuPIPSoo/8DHjx9hZ2eH7OxsXLx4EbVr12Y7EiFf+fn5QVVVFfb29mxHYdXTp0/B5/OpoCQV5uHhgYyMDGzatIntKOQHq1evhqqqKmbNmsV2FLlHBWU5FRYWYsCAAYiNjUVQUBBN9icS5ctRi/b29lBXV2c7Dqu+rPA2NzdnOQmRdkZGRpg6dSpWrlyJN2/esB2HfENDQwOenp44efIkTp06xXYcuSb3BWVuAR/Rr97jUUo2ol+9R24B/7ePFQgEGDNmDK5du4bTp0+jefPmYkxKSOkePnyI2NhYuR/uBj4XlPXr10flypXZjkJkgIuLCzgcDpYvX852FPKDQYMGoWfPnpgxYwY+fPjAdhy5xWM7ABvi03PgF5aCkLgMpGTl4dtl7hwAetVVYWNaCyMs9WCs9fnLiGEYzJkzB0eOHMGxY8dgY2PDSnZCSuLj4wMtLS25PfIzt4CPpMxcFPIFuBf/Co2b/cV2JCIjatSogYULF8LFxQUzZ86EsbEx25HIfzgcDrZt24ZGjRph8eLF8PT0ZDuSXJKrbYNSs/KwKCASNxPeQoHLQbHg9y/9y8+tjWrAw94cvrs2Y9GiRdixYwemTJkixtSElA2fz0edOnUwfPhwbNy4ke04YlPSDSLAQL+62k83iIT8ifz8fJiYmMDKygrHjx9nOw75wcaNGzF37lzcuXMHlpaWbMeRO3JTUB4JT4FrYDT4AqbEQvJHClwOOIwA6ee2wKl/G7i6uoowJSF/7sKFC7Czs8ODBw/QokULtuOIXEVuEHWrq4oxKZEl3t7eGDNmDEJDQ9G6dWu245Bv8Pl8WFlZobCwEA8ePICioiLbkeSKXBSUW0Pise7isz9+PsMw4HA4mNvVBDM70TAHkUwjRozAo0ePEB0dLfOnNVXkBpHH5WBpHzMMtdATYUIiq4qLi/HXX39BXV0dN2/elPnfNWnz8OFDWFhYwN3dHc7OzmzHkSsyvyjnSHhKhYpJAF8/MNZfeoaj4SnCiEWIUOXk5CAgIAAODg4y/wW3NSQezicjUcAXlKuYBIBiAYMCvgDOJyOxNSReRAmJLFNQUMCaNWtw+/ZtWlUsgVq0aAFHR0csXboUz58/ZzuOXJHpHsrUrDx02XgdBXyB0NpU5nFx2bEDDZkRiXLw4EGMHj0aSUlJ0NfXZzuOyBwJT4HzyUihtbe6vzmGUE8l+QPdu3dHYmIioqOjaWhVwuTm5sLMzAzGxsa4ePGizN9kSwqZ7qFcFBAJfjl7MErDFzBYFCC8LzRChMHX1xft27eX6WIyNSsProHRQm1zSWA0UrPyhNomkQ9r1qxBQkICdu/ezXYU8gM1NTXs2LEDly9fhq+vL9tx5IbMFpTx6Tm4mfC23ENipSkWMLiZ8BYJGTlCbZeQP/Xq1StcuXIFDg4ObEcRKbpBJJKkadOmGDVqFNzc3GjvQwnUo0cPDB06FHPmzMHbt2/ZjiMXZLag9AtLgQJXNN3cClwOfO/SXEoiGQ4fPgxFRUUMHDiQ7SgiQzeIRBItX74cOTk5WLt2LdtRyC9s2rQJfD4fTk5ObEeRCzJbUIbEZQj9y+eLYgGDkGcZImmbkPLy8fFB7969Ua1aNbajiAzdIBJJpKuri7///hvr16/Hy5cv2Y5DfqClpYV169bB29sbV65cYTuOzJPJgvJjAR8pIp4XlZKZV+IxjYSIQ2RkJCIiImT+qEW6QSSSytnZGaqqqrRHsYQaN24c2rdvj8mTJyM/P5/tODJNJgvK5MxciHrpOgMgKTNXxFchpGR+fn6oXr06evTowXYUkaEbRCLJqlatiiVLlmD//v2IiopiOw75AYfDwa5du5CamooVK1awHUemyWRBWSjEbYIk4TqE/IpAIICfnx+GDBkCJSUltuOIDN0gEkk3ZcoU1KtXD/Pnz2c7CvmFBg0a4J9//sGaNWsQGUmL8ERFJgtKJZ54Xpa4rkPIr1y/fh3//vuvzA930w0ikXRKSkpYuXIlLly4QHP1JNSCBQtgZGSESZMmQSCg33VRkMmKyEBTDaLexpTz33UIYYuPjw8MDQ1l/jxhukEk0mDgwIGwsrLCvHnzqGCRQMrKyvDy8sLdu3exc+dOtuPIJJn8BFVT5kFPxCfZ6GmqQk2ZJ9JrEPI7+fn58Pf3x8iRI2X+FAi6QSTSgMPhYO3atXj06BEOHz7MdhzyC9bW1pg0aRKcnZ1/uSo/t4CP6Ffv8SglG9Gv3tO86nKS2aMX3QKj4ROWLJKVoQpcDhws9eHWx0zobRNSFseOHcOQIUPw7NkzGBsbsx1H5DqsDUGyCBfm6Guq4rqTjcjaJ/LD3t4eDx8+RFxcHCpVqsR2HPKDd+/eoWHDhmjdujVOnjyJ+PQc+IWlICQuAylZed/N1+YA0KuuChvTWhhhqQdjrcpsxZYKMtlDCQAjLPVEus3ISCs6/5ewx8fHB5aWlnJRTAJAC21lcBjRDCMqcDmwMaklkraJ/Fm1ahVevnyJLVu2sB2F/EK1atWwefNmnLkaiu4rz6DrphvwCUtG8g/FJPB5sV5yVh58wpLRddMNOOwNo6NaSyCzBaWxVmVYG9UQ+mbIClwOrI1qwKgW3akQdrx58wZBQUEyvxgHAGJjYzFq1CjsmDsCDEc0H1d0g0iEydTUFJMmTYK7uzsyMzPZjkN+odjACnUn70Lsu88lZGmdT19+HvoiE102XseRcDoI4VdktqAEAA97c/CEWlAy4HE58LA3F2KbhJTP0aNHAQBDhgxhOYnoREZGYsiQIWjUqBGuXr2KNf84oo2hhvBPyxEUw0xTgW4QiVC5urqiuLgY7u7ubEchP9gaEo+FAZFguDxwuArlem6xgEEBXwDnk5HYGhIvooTSS6YLSt3qqlgq1HmOHJh8eAwtdVqMQ9jj6+sLW1tb1KxZk+0oQvfgwQPY29ujSZMmCAsLw44dO/D8+XPMmjULqwc0E/INIgBGgIsrxmDMmDF48+aNcNsmcktLSwsLFizA1q1bkZiYyHYc8p8j4SlYd/GZUNpad/EZjlJP5XdkuqAEgKEWenDqZiKUtjpovEfwDld07doVGRl0VBsRv/j4eISFhcHBwYHtKEJ1584d2NnZoWXLloiKisK+ffsQHx+PyZMnQ1lZGYAobhCBlQObY8e6FQgMDISpqSn27NlDW74QoXB0dESNGjWwaNEitqMQAKlZeXANjBZqm0sCo2lO5TdkvqAEgBk2xljV3xzKPG65h8wUuBwo87hY3d8c3vOH4+rVq4iNjYWFhQUePXokosSE/Jqvry8qV66M3r17sx2lwhiGwbVr19C5c2e0adMGycnJ8PPzQ0xMDMaOHQtFRcWfniPMG8R53UwxrJU+JkyYgLi4OPTp0wcTJ05E+/bt6TQNUmFqampYvnw5jhw5gvDwcLbjyL1FAZHgC3mhLl/AYFEAfVZ8IRcFJfD5i+iyYwe0MdQEgFILyy8/b2OoicuOHTDE4vOk/Xbt2uH+/fuoUaMG2rZt+3U+GyGixjAMfH19MXDgQKioqLAd548xDIPg4GC0b98eNjY2yMrKgr+/PyIjIzF8+HDweCVPKRHWDeJ0G6Ovf1+zZk0cOHAAISEhyMzMRIsWLbBgwQLk5tJxjOTPjRkzBmZmZpg3bx5kdIc+qRCfnoObCW+FvvNLsYDBzYS3SMjIEWq70kpuCkrg85CZz3hLXPq7PRws9aGvqfrThskcfN6TzsFSH5cd28NnvCV0f9gkXVdXF7du3YK9vT2GDh2KhQsXori4WGyvg8inO3fu4MWLF1I73M0wDM6cOQNLS0vY2tqisLAQZ86cwcOHDzFgwABwuWX/OBLWDeKPOnbsiIiICLi5ucHT0xONGjXCmTNnypyLkG8pKChgzZo1uH79Os6ePct2HLnlF5Yi/AV9/1HgcuB7l+ZSAjK8sXlZ5RbwkZSZi/4DB6Nta0ts8VhS5hNwGIbBunXrsGDBAvTo0QOHDh1C1apVRZyYyKtp06bhzJkzSE5OLlfxxTaBQICTJ09ixYoViIiIQLt27eDi4oKuXbsK5ZSfrxsTP8tASuYvNibWVIWNSS2MtNIr12ru58+fY/r06QgODoa9vT02b94MXV3dCucl8oVhGHTu3BlpaWl48uRJqT3wRPjoYATxkPuC8ovOnTujZs2aOHLkSLmfGxQUhKFDh6J27do4ffo0TE1NRZCQyLPCwkJoa2tj4sSJWLVqFdtxyoTP5+Po0aNwd3dHTEwMOnfuDBcXF3To0EFk1/xyg1jIF0CJx4WBplqFjkhlGAb+/v6YPXs2Pnz4gGXLlmHWrFlUFJByefDgAVq2bIldu3Zh0qRJbMeRKx8L+DB3C/5p03Jh4gCIcusu98cxS083h4jp6Ojg1atXf/RcW1tb3Lt3DxwOB61atcL58+eFnI7IuwsXLiArK0sqNjMvKirCvn370LBhQ4wcORL16tVDaGgoLl++LNJiEgDUlHkw06mK5noaMNOpWuEPeA6Hg0GDBiE2Nhbjxo3DvHnz0LJlS9y9e1dIiYk8+OuvvzBixAi4urri48ePbMeRK8mZuSItJoHPJ+okZdJ8ayoo/6OtrY3Xr1//8fNNTEwQFhaG9u3bo1evXli9ejVNwiZC4+vri6ZNm6Jx48ZsR/mtgoIC7Ny5E8bGxhg/fjzMzc3x4MEDnDt3Dq1bt2Y7XoVUqVIFnp6eCAsLA4/HQ5s2bTBlyhRkZ2ezHY1IiRUrViArKwvr169nO4pcKeSLZxswcV1HklFB+Z8vPZQVKQKrVKmC06dPY9GiRXB2dsbw4cORl0d7VJGKeffuHc6cOSOxi3Hy8vKwefNmGBoaYtq0abCyssKTJ09w8uRJtGjRgu14QtWyZUuEhYXB09MThw4dQoMGDeDn50c3j6RUBgYGmDVrFtauXYu0tDS248gNJZ54yhxxXUeS0X+B/+jo6CAvLw8fPnyoUDtcLhcrVqzAsWPHEBgYiHbt2iElhVaAkT/n7++PoqIiDBs2jO0o38nJycGaNWtQr149zJ07F126dEFMTAyOHDkCc3PZPZ5UQUEBM2bMQGxsLDp27IiRI0eia9euePZMOCdwENm1aNEiKCkpwc3Nje0ocsNAU+2n3VyEjfPfdeQdFZT/0dHRAYA/nkf5o0GDBiE0NBRZWVlo2bIlbt68KZR2ifzx8fFB586dv75H2fbu3TusWLECBgYGWLx4Mfr27Ytnz57B29tbrhak6ejo4OjRo7hw4QISExNhbm4ONzc3fPr0ie1oREJpaGhg8eLF2LNnD2JiYtiOIxfUlHnQ+2HrP2HT01SV+wU5ABWUXwm7oASApk2bIjw8HGZmZujUqRN27twptLaJfEhOTsaNGzckYjFOZmYmXFxcoK+vjxUrVmD48OFISEiAl5cXDA0N2Y7HGltbW0RFRWH+/Pnw8PCAubk5Ll26xHYsIqGmT58OXV1dODs7sx1FLuTn50Mj/xUYgWj2ilbgcmBjUkskbUsbKij/o62tDUC4BSXw+QSOixcvYsqUKZg6dSqmTJmCwsJCoV6DyK5Dhw5BVVUV/fv3Zy1Deno65s+fD319fWzYsAETJ05EYmIitmzZAj29X28QLm9UVFSwfPlyREREoE6dOujWrRuGDx9Oc+XIT5SVleHh4YHAwEDcuHGD7TgyKzc3Fxs2bEC9evUQtG0xOFwFkVynWMBgpBV9DgJUUH6loqICDQ0NoReUAKCoqIgtW7Zg9+7d2LdvHzp37oz09HShX4fIFoZh4OPjg379+kFdXV3s13/58iVmz54NAwMD7Ny5E7NmzUJSUhLWrVv39QaMfK9hw4YICQmBt7c3Ll26hAYNGmDHjh10khb5zpAhQ9CyZUs4OTlBIKDVwcL08eNHrF27FvXq1cOCBQvQq1cvPL1zBdZGNYR+Wo4ClwNroxrlOjBBllFB+Y2Kbh1UmgkTJuDatWuIj4+HhYUFHj58KLJrEen36NEjxMTEiH24OykpCVOnToWhoSEOHjwIZ2dnJCUlwcPDAzVr1hRrFmnE4XAwatQoxMbGYvDgwZg2bRratGmDR48esR2NSAgul4u1a9ciPDwcx48fZzuOTMjJycGqVatQr149/PPPP7C3t0d8fDz27NkDQ0NDeNibgyfkgpLH5cDDXnYXIJYXFZTfqMjm5mXVpk0b3L9/H1paWmjbti0OHz4s0usR6eXj44NatWqha9euYrlefHw8xo0bB2NjY/j7+2Pp0qVITk6Gq6srqlevLpYMskRTUxNeXl64desW8vLy0LJlSzg6OiInJ4ftaEQCdOzYEb169cLChQtRUFDAdhyp9eHDB7i7u8PAwACurq4YNGgQ4uPjsWvXLhgYGHx9nG51VSztYybUay/rYwZdES/4kSZUUH5DHAUlANStWxc3btzAwIEDMXz4cDg7O9OQGPkOn8/H4cOHMWzYMJEf8/f06VOMGDECDRo0wIULF7B69WokJSXB2dkZVapUEem15UHbtm3x8OFDrFq1Cl5eXmjYsCFOnjxJe1cSrF69GsnJydixYwfbUaTOu3fvsGzZMujr62PZsmUYNmwYEhISsH37dujr6//yOUMt9ODUzUQo15/XzRRDLGju5LeooPyGuApK4POczYMHD2L9+vVYu3YtevfujXfv3onl2kTyXblyBenp6SLdzPzx48cYOHAgGjdujJs3b8LT0xOJiYmYM2cO1NRoTzVhUlRUxLx58/D06VO0aNECAwYMQO/evZGUlMR2NMKiRo0aYfz48Vi+fDl9/pdRdnY23NzcYGBggJUrV2LUqFF48eIFtm7dCl1d3VKfP8PGGKv6m0OZxy33nEoFLgfKPC5W9zfHdBujP30JMosKym8I47Sc8uBwOJgzZw4uXLiAO3fuoFWrVoiNjRXLtYlk8/HxQYMGDURy0sy9e/fQp08fNG/eHI8ePYKXlxcSEhIwffp0VKpUSejXI/+nr6+P06dPIyAgABEREWjUqBFWrVpFOz/IsaVLl+LTp0/w8PBgO4pEy8rKgouLCwwMDLBmzRqMGzcOL168wObNm1GnTp1ytTXUQg+XHTugjaEmAJRaWH75eRtDTVx27EA9k79BBeU3dHR0UFBQIPbzebt164bw8HDweDxYWlri7NmzYr0+kSwfP35EQEAARo4cCQ5HeJPIb926he7du8PS0vLrRuRxcXGYMGEClJSUhHYdUjIOh4N+/fohJiYG06ZNw+LFi9GiRQs6/EBOaWtrw8nJCZ6enkhOTmY7jsR5+/YtFi1a9N22ZS9evMCGDRsqtNuEbnVV+Iy3xKW/28PBUh/6mqo/najDAaCvqQoHS31cdmwPn/GWNGeyJAz56vbt2wwAJioqipXrv3//nunTpw/D4XAYd3d3RiAQsJKDsOvgwYMMACYxMbHCbQkEAuby5ctMhw4dGABM48aNmSNHjjB8Pr/iQYlQPH78mLGysmIAMOPGjWPevHnDdiQiZh8+fGC0tLSYkSNHsh1FYmRkZDDz589n1NTUGDU1NWb+/PlMenq6SK/58VMRE/XyHbNihy+jWKsek/n+o0ivJ2uooPxGYmIiA4C5ePEiaxmKi4sZFxcXBgAzePBg5uNHekPLm27dujHW1tYVakMgEDDnzp1jWrduzQBgWrRowQQEBDDFxcVCSkmEqbi4mNm5cydTrVo1RlNTk9m/fz/dUMqZHTt2MACYhw8fsh2FVWlpaYyTkxOjqqrKqKurMwsXLhT7TdbFixeFdlMvT6ig/ManT58YAMyBAwfYjsIcP36cUVVVZZo1a8YkJSWxHYeIyatXrxgul8t4eXn90fOLi4uZkydPMi1atGAAMK1bt2bOnz9PxYmUSEtLY0aMGMEAYNq3b89ER0ezHYmISVFREdOgQQOmc+fOcvn7+urVK8bR0ZFRUVFhqlSpwixevJh5+/YtK1kiIyMZAMzt27dZub60ojmU31BWVoampqbYVnqXZODAgbhz5w7evXuHli1b4vr162xHImJw+PBh8Hg8DBw4sFzPKy4uxtGjR9G0aVP0798fVapUwZUrV3D79m306NFDqHMxiehoaWnB19cXly9fRlpaGpo2bYpFixYhLy+P7WhExHg8HlavXo0rV64gODiY7Thi8+rVK8yePRuGhobYt28f5s2bh6SkJCxfvhyampqsZNLR0fmajZQdFZQ/EOfWQaVp0qQJwsPDYW5uji5dumD79u20d52M8/X1Re/evaGhoVGmx/P5fBw8eBBmZmYYOnQodHR0cPPmTYSEhKBTp05USEqpzp0748mTJ3BxccGGDRtgZmaG8+fPsx2LiFjv3r1hbW2NefPmyfzexP/++y9mzJjx9USuhQsXIikpCUuXLi3z55+oaGhoQFlZWWJqAWlBBeUPJKmgBIAaNWogODgY06ZNw/Tp0zF58mTaYkRGRUdH49GjR2U6arGwsBC7d++GqakpRo8eDRMTE4SFhSE4OBjt2rUTQ1oiasrKyliyZAkiIyNhZGSEnj17YtCgQXj58iXb0YiIcDgcrFu3DlFRUfD29mY7jkikpKRg2rRpqF+/Pg4fPgwXFxckJydjyZIlqFatGtvxAHz+/yBptYA0oILyB5L4JlJUVMTmzZuxd+9eeHt7o1OnTkhPT2c7FhEyX19faGhooEePHr99zKdPn7Bt2zYYGRlh8uTJaNGiBR49eoTAwEC0atVKjGmJuBgbG+PixYs4dOgQbt68iQYNGmDz5s3g8/lsRyMi0KpVKwwePBguLi4yNdUhKSkJkydPhpGREY4dO4alS5ciKSkJ//zzj0SeyCWJtYCko4LyB9ra2nj9+jXbMX5p3LhxuHbtGp4/f46WLVvi/v37bEciQiIQCODn54chQ4ZAWVn5p5/n5uZiw4YNqFevHmbNmoX27dsjKioKx48fR7NmzcQfmIgVh8PBsGHDEBsbi1GjRsHR0RGtWrXCvXv32I5GRGDlypV48+YNNm7cyHaUCnvx4gUmTJgAY2NjBAQEYMWKFV+Pdq1cuTLb8X6LCsryo4LyB+I+Lae8Wrdujfv370NHRwfW1tbw9fVlOxIRghs3biA1NfWn4e4PHz5g5cqVMDAwwIIFC2BnZ4fY2Fj4+vqiUaNGLKUlbKlWrRq2bduGu3fvgmEYWFlZYcaMGXj//j3b0YgQGRoaYvr06Vi9ejUyMjLYjvNHEhISMG7cOJiYmODMmTNYtWoVEhMTMX/+fKirq7Mdr1RUUP4BlleZS5yTJ08yACR+c+H8/Hxm1KhRDADGycmJNqqWcuPHj2fq1av3dbuQrKwsxs3NjdHQ0GCUlJSYKVOm0J5o5DtFRUXMxo0bGXV1daZ27drM4cOH5XK7GVn19u1bpmrVqsz06dPZjlIucXFxzKhRoxgFBQWmdu3azMaNG5nc3Fy2Y5Xb6tWrmapVq7IdQ6pQQfmDu3fvMgCYiIgItqOUSiAQMBs3bmS4XC7TvXt3Jisri+1I5A/k5eUxVapUYVxcXJiMjAxm4cKFTOXKlZlKlSoxs2fPZlJTU9mOSCRYamoqM2DAAAYA07VrVyY+Pp7tSERIVq9ezfB4PCYuLo7tKKWKiYlhRowYwXC5XEZHR4fx9PRk8vLy2I71x3x8fBgAUlkMs4WGvH8gTftPcTgc/P333wgKCsK9e/fQqlUrPH36lO1YpJzOnj2LDx8+4N9//4WBgQE8PT0xZcoUJCUlYdOmTahbty7bEYkEq1u3Lvz9/XH27FnEx8ejcePGWLZsGQoKCtiORipo5syZ0NbWxsKFC9mO8ltPnz7FsGHD0KhRI1y/fh2enp54/vw5Zs6cCRUVFbbj/bEvtYCkrqmQRFRQ/qB27doApKOg/KJr164IDw+HsrIyrKyscObMGbYjkTJKTU3F/PnzweFwcOLECcyZMwfJyclYs2YNtLS02I5HpEjPnj0RHR0NR0dHLF++HE2aNMHVq1fZjkUqQEVFBe7u7jh58iRu377NdpzvREZGYvDgwWjcuDFCQ0Oxfft2JCQkYPr06ahUqRLb8SpMmjqXJAUVlD9QVFREzZo1pe5NVL9+fdy5cwedO3dG37594e7uLrELi8jnlY8TJ05E/fr1kZSUBDs7OyQnJ7N6OgSRfqqqqli5ciUeP36MWrVqoXPnznBwcJDahR0EGDFiBJo1a4Z58+ZJxGd6REQEBg4c+PXgjV27diE+Ph5Tpkz55Q4V0ooKyvKjgvIXdHR0pLKbu3Llyjhx4gSWLFmCxYsXY/Dgwfj48SPbscg34uLivm5EHhgYiJ49e4LL5WL//v0Ss6kvkX5mZma4fv069u3bhwsXLsDU1BReXl4QCARsRyPlxOVysXbtWty5cwcnT55kLcejR49gb2+PZs2a4dGjR9i7dy+ePXuGiRMnQklJibVcolK5cmWoqalRQVkOVFD+gjRvF8DlcuHm5oaTJ0/iwoULaNu2LRITE9mOJfciIyMxdOhQNGzYEJcvX8b69euRmJiItLQ09OjRAzVr1mQ7IpExXC4XY8eORWxsLOzt7TF58mS0a9cOERERbEcj5dSlSxfY2trC2dlZ7Cel3b9/H3369EGLFi0QFRWF/fv3IzY2FuPGjYOioqJYs4gTnZZTflRQ/oIsvIns7e1x584d5OTkwMLCAiEhIWxHkksPHjyAvb09mjRpgrt372L79u148eIFZs+ejVevXuHu3btwcHBgOyaRYTVq1MC+fftw/fp1vHv3Dn/99RecnJxo9ELKrF69Gs+fP4eXl5dYrnfv3j307NkTFhYWiIuLw8GDBxETE4MxY8bIdCH5LW1tbamvBcSJCspfkIWCEgDMzc0RHh6OZs2aoWvXrti6datEzMGRB3fu3EHPnj3RsmVLREVFYd++fT/NM/L19UXlypXRu3dvltMSedC+fXs8fvwYK1aswPbt29GoUSOcPn2a7VikjJo0aYIxY8Zg6dKlIt3I/s6dO+jRowcsLS3x4sUL+Pn54enTp3BwcACPxxPZdSWRrNQC4kIF5S98mUMpC/ONNDU1ERQUhJkzZ2LmzJmYOHEibSciQtevX0eXLl3Qpk0bJCUlwc/PDzExMRg7dux3d/UMw8DX1xcDBgyAqqoqi4mJPFFSUoKzszOio6PRuHFj9OvXD3379kVycjLb0UgZLFu2DLm5uVizZo3Q2759+za6deuGNm3aIDU1FUeOHEFUVBSGDx8OBQUFoV9PGlBBWT5UUP6Cjo4OiouL8ebNG7ajCAWPx8PGjRuxf/9++Pj4wMbGRioXHUkqhmFw8eJFtG/fHh07dsTbt29x/PhxREZGYvjw4SgoBqJfvcejlGxEv3qP3AI+7t69i+fPn9NwN2FFvXr1cO7cOfj7++P+/fto1KgR1q5di6KiIrajkRLUrVsXjo6O2LBhA/7991+htHnjxg107twZ7dq1w+vXr3Hs2DE8efIEQ4YMkdtC8gsqKMuHCspf0NbWBiB72wWMGTMGN27cQFJSEiwsLBAeHs52JKnGMAzOnDkDKysrdO/eHZ8+fUJgYCAePXqEptbdsexsDDqsDUFjt2D03HIL9jtC0XPLLTR2C8b4gFTo9psDnYZ/sf0yiJzicDgYMGAAYmJiMHHiRDg7O+Ovv/5CaGgo29FICRYsWAB1dXW4uLj8cRsMwyAkJAQdO3ZEhw4dkJmZiRMnTiAiIgKDBg0Cl0ulAfC5oPz48SNycnLYjiIV6F3zC7K8Q76lpSXu37+PunXrwtraGgcPHmQ7ktQRCATw9/dH8+bN0adPHygpKSE4OBhhYWFo1rYzRu27h66bbsAnLBnJWXn4cdYqAyBPQQ0Kph1h63kLDnvDkJqVx8ZLIQRVqlTBpk2bEB4ejkqVKqFt27aYNGkSsrKy2I5GfqFKlSpwdXWFt7c3njx58tPPcwv4P42IfMEwDC5fvowOHTqgU6dO+PDhA06dOoVHjx6hf//+VEj+gPaiLB8OQ6s0fsLn86GkpAQvLy9MmDCB7Tgi8enTJ0ydOhUHDhzAnDlzsHr1armbcF1efD4fx44dg7u7O54+fYrOnTtj8eLF6NChAzgcDo6Ep8A1MBp8AYNiQdl/rRS4HPC4HCztY4ahFnoifAWElKy4uBi7du3CwoULoaysjPXr12PkyJHgcDhsRyPfKCoqgpmZGQwNDREUFIT49Bz4haUgJC4DKT/cxHIA6FZXhZHKJ0Sd3onwy4Fo2bIlXF1d0bNnT/p/W4L4+HiYmJh87c0lJaPbkV/g8XjQ0tKS6buSSpUqYd++fdi8eTM2b94MOzs76pH4jaKiIuzfvx8NGzbEiBEjYGBggNDQUFy+fBkdO3YEh8PB1pB4OJ+MRAFfUK5iEgCKBQwK+AI4n4zE1pB4Eb0KQkqnoKCAadOmITY2Fp07d8aoUaPQqVMnxMbGsh2NfENRURErV67ElbuPYbfmfKkjIilZebiSWoSMlpPQfdVZnAi6hl69elExWQpZnf4mKlRQ/oY8TMblcDiYNWsWgoOD8eDBA7Rq1QrR0dFsx5IYBQUF2LVrF0xMTDBu3Dg0btwY9+/fx7lz59C6deuvjzsSnoJ1F58J5ZrrLj7D0fAUobRFyJ/S1tbG4cOHERwcjNTUVDRp0gQuLi7Iz89nOxr5T6GuBepM2omnmZ+HtEu7keVwPy+wif/AQddNN3CEPmdKpa6ujipVqsh8LSAsVFD+hjwUlF907twZ4eHhUFFRgZWVldzvTZeXlwdPT0/Ur18fU6dOhaWlJZ48eYKAgAD89df3i2hSs/LgGijcInxJYDTNqSQSoVu3boiMjISzszNWr16Nxo0bIzg4mO1Ycm9rSDwWBkQCCooAt3wrsWlEpHzkqRaoKCoof0Pedsg3NDTEnTt30K1bN/Tr1w/Lli2TiX04y+Pjx49Yu3Yt6tWrhzlz5qBz586IiYnBkSNHYG5u/svnLAqIBL+cQ9yl4QsYLAqIFGqbhPwpFRUVLFu2DE+ePIG+vj5sbW0xdOhQmVy0KA1oRES8qKAsOyoof0Me30Tq6uo4fvw4li1bBldXVwwaNEgujmd7//49VqxYAX19ffzzzz/o06cP4uLi4O3tDVNT098+Lz49BzcT3pZ7zmRpigUMbia8RUIGbVVBJEeDBg1w5coV+Pj44OrVq2jQoAG2bt2K4uJitqPJDRoRET95rAX+FBWUv6Gjo4P09HS5+7DkcrlwcXFBQEAALl68iDZt2uDFixdsxxKJzMxMuLi4QF9fHytWrMCwYcOQkJCA3bt3o379+qU+3y8sBQpc0UxqV+By4HuXeg6IZOFwOBg5ciTi4uIwbNgwzJw5E5aWlnjw4AHb0eQCjYiIHxWUZUcF5W/o6OhAIBAgIyOD7Sis6NevH+7evYu8vDxYWFjgypUrbEcSmoyMDCxYsAAGBgbYsGEDxo8fj8TERGzduhV6emXftickLkPovZNfFAsYhDyTz/cekXwaGhrYuXMnQkNDUVhYiFatWmH27Nn48OED29FkFo2IsOPL9DfaYbF0VFD+Bm1oCpiZmeHevXv466+/0L17d3h6ekr1L9XLly/x999/w8DAADt27MDMmTORlJSE9evXf90eoqw+FvCRIuJhopTMvO82JSZE0rRu3RoPHjzAmjVrsHfvXjRo0ADHjx+X6s8JScTn8+Fy8CIgEM2IGY2I/J6Ojg7y8/Px/v17tqNIPCoof4MKys+qV6+O8+fPY/bs2Zg9ezbGjx+PgoICtmOVS3JyMqZOnQpDQ0N4e3tj/vz5SEpKgoeHB2rWrPlnbWbm/rTfm7AxAJIyc0V8FUIqRlFREXPnzsXTp09haWmJwYMHw87OTmanyogTn8+Ht7c3GjVqhJvPs8q9orusaETk96gWKDsqKH+jZs2aUFBQoDcRPm/0vn79enh7e+PQoUPo0KGDVPx3SUhIwLhx42BkZAR/f3+4ubkhOTkZbm5uqF69eoXaLuSLZwW8uK5DSEXp6ekhICAAp0+fRnR0NMzMzODh4YHCwkK2o0mdoqIi7Nu3D6amphgzZgxMGzeFooaOSK9JIyK/RgVl2VFB+RsKCgoyf1pOeY0aNQo3b95EamoqWrZsibCwsHK3UdI5s8ISExODkSNHwtTUFBcuXMDq1auRlJSEhQsXokqVKkK5hhJPPL864roOIcLSp08fPH36FDNnzsSSJUvQrFkzXL9+ne1YUqGwsBC7d++GiYkJxo8fj2bNmuHRo0dYtXWPyK9NIyK/RqfllB0d3lwCWt31MwsLC9y/fx8DBgxA+/bt4eXlhdGjR5f4nNLOmdWrrgob01oYYakHY63Kf5wtIiICK1aswIkTJ1C3bl14enpi3LhxUFFR+eM2f8dAUw0cQKTD3pz/rkOItFFXV8eaNWswcuRITJkyBR07dsTo0aOxdu3aP55mIssKCgpw4MABeHh4IDU1FQMHDkRgYODX/W8fpWSLJQeNiPxMRUUFGhoatO9qGVD3Rwl0dHToTfQL2traCAkJgYODA8aMGQNHR0fw+T/3NKZm5cFhb1ip58wmZ+XBJywZXTfdgMPesHLviRYeHo6+ffuiWbNmePDgAXbt2oWEhARMnz5dJMUkAKgp86BXXVUkbX+hp6kKNWW65yPSq0mTJrh16xa8vLwQGBiIBg0aYO/evXJ3aMLvfPr0Cdu3b4exsTGmTp2KNm3aIDIyEseOHfvuMAUaEWEXdS6VDb17SkBvot9TVlbG7t27sWXLFmzZsgW2trbIzMz8+vMj4SnosvE6Ql98/rvStrr48vPQF5nosvF6mc6ZvXXrFmxtbdGqVSvExsbC29sbz549w8SJE6GkpFSBV1e6mJgYMK+iwIhw1aWNSS2RtE2IOHG5XEycOBGxsbHo1asXJkyYgPbt2yMqKortaKz59OkTtmzZAiMjI8ycORPt27dHdHQ0Dh8+DDMzs58e/2VERJRoROT3qBYoGyooS0BvopJxOBzMmDEDly5dwuPHj9GqVStERUVha0g8nE9GooAvKPeeaaWdM8swDK5evQobGxtYW1vj5cuXOHLkCJ4+fYpRo0aBxxNdjx7DMLhy5Qp69uyJRo0aIeHCfnBEuOpypFXZ98QkRNLVqlUL3t7euHr1Kt6+fYvmzZtjwYIFyM2Vn3l7+fn52LRpEwwNDfH333+jU6dOePr0KXx9fdGwYcPfPo9GRNhFtUDZUEFZAh0dHWRkZKCoqIjtKBLNxsYG4eHhUFdXR4dxi0RyzizDMLhw4QLatm2Lzp0748OHDzh58iQiIiIwZMgQKCiIprADPk+UP3jwIJo3b44uXbrg33//hbe3NxIj7sDaqIbQT8thBMUQvIzGvctnaD8/InNsbGwQEREBV1dXbN68GWZmZjh79izbsUQqNzcXGzZsQL169eDk5ITu3bsjLi4OBw8eLPF412/ZmNaCgoi6KWlEpGRUUJYNFZQl0NbWBsMwSE9PZzuKxKtXrx6OnruMKjbjhVoELQmMxt4jp2BhYQE7OzswDINz587h/v37sLe3B5crurdwZmYmPDw8YGBggNGjR6NOnTq4cuUKHj9+jFGjRkFZWRke9ubgCbmgVFbkoWnhU4wYMQIdOnTAkydPhNo+IWxTVlbG4sWLERUVBVNTU/Tu3Rv9+/fHv//+y3Y0ofr48SPWrl2LevXqYcGCBejVqxfi4uKwf/9+GBkZlbmd7OxsvLlzEsUiur+kEZGSfSko6Qa/ZFRQloD2nyof9+AX4PIUweEIr8AqKCzColORUFdXx+XLlxEaGgo7OzuhXuNHz549w7Rp06Crq4vly5ejd+/eePr0Kc6dO4dOnTp9d23d6qpY2ufnOU8VsbxvY5w5cgCXLl3Cmzdv0Lx5c8ycORPZ2eJZ6UmIuBgZGSEoKAhHjhzBnTt30LBhQ2zcuPGXi/ykSU5ODlatWoV69erhn3/+gb29PZ49e4Y9e/agfv36ZW4nNzcXK1euhKGhIQ54rkJtvBN6L6UClwNroxowqvXnO2zIOh0dHRQWFiIrK4vtKBKNCsoSUEFZdqI6ZxZcBajUa4E9x86gc+fOIiskGYbB9evX0bdvXzRo0AAnTpzAwoULkZKSgl27dpU4v2mohR6cupkIJce8bqYYYvG5p6BLly6IiIjAmjVrcODAAZiYmNAKWSJzOBwOhgwZgtjYWIwZMwZz5879431u2fbhwwe4u7vDwMAAS5YswcCBAxEfH49du3ahXr16ZW6nsLAQW7duRf369eHq6goHBwe8ePECx+fZg6cg3K9tHpcDD3vz0h8ox6gWKBsqKEtQo0YN8Hg82jqoDPzCUoQ+l/ALUZ4zW1RUBD8/P7Rs2RIdO3bE8+fPsWfPHiQnJ8PFxaXMe+bNsDHGqv7mUOZxy/3fQYHLgTKPi9X9zTHd5vthMCUlJcydOxfPnj2Dra0tJkyYACsrK9y7d69c1yBE0lWtWhVbtmzBvXv3oKCggNatW2Pq1KlC6ZkX9YEK7969w/Lly2FgYIBly5Zh2LBheP78OXbs2AF9ff0yt1NcXAxvb2+Ymppi9uzZ6NGjB549ewZPT09oaWmJZESkl3YedEW84EfaUUFZNrSkqwRcLhfa2tr0JiqDkLgM4fdO/ufLObNuEN4HaXZ2Nnbv3g1PT0+8fPkS3bt3R3BwMLp27frHvaBDLfTQtn4NLAqIxM2Et1Dgckr8b/Ll520MNeFhb17ih7q2tjZ8fHwwefJkzJgxA5aWlhg/fjxWrlxJG0UTmdKyZUvcu3cP27Ztw+LFi3Hy5Els3LgRw4YNK9fvpjgOVMjOzsbmzZuxadMmfPr0CZMnT8b8+fNRp06dcrXDMAwCAgKwePFixMTEYMCAATh37hwaNWr002OHWujh7ccCoSx+1H8XgQ2r/oFamgvc3NxEOiddmtWuXRsAFZSloXdPKWh1V+k+FvCRUs7NyMtLWOfMPn/+HLNmzYKuri5cXFxga2uLyMhIBAUFoVu3bhUeUtetrgqf8Za49Hd7OFjqQ19T9af94zgA9DVV4WCpj8uO7eEz3rLMPQTt2rXDgwcPsG3bNpw4cQImJibYunWr1M85I+RbCgoKmDVrFmJiYtChQweMGDECXbt2xbNnpRdR4jhQISsrCy4uLjAwMMDq1asxduxYJCYmYvPmzeUqJhmGwaVLl9CqVSsMGDAAurq6CA8Ph7+//y+LyS+ENSJybftCrFy5EitWrMCgQYPkagun8lBSUkKNGjWoFigFh6FlSyXq378/8vPzceHCBbajSKzoV+/Rc8stkV/n3Mx2MNOpWu7nMQyD0NBQrF+/HqdOnYKmpiamT5+OqVOnQktLSwRJv5dbwEdSZi4K+QIo8bgw0FQTyn5vb968wT///IM9e/bA3NwcW7duhbW1tRASEyJZLly4gOnTp+Ply5dYuHAhnJ2dUalSpZ8edyQ8Ba6B0eALmHKNmChwOeBxOVjaxwxDLX6/2vnt27fYsGEDtmzZAoFAgKlTp8LJyelrD1Z53L17FwsXLsS1a9dgZWWFlStXomPHjuVqIzUrr9wjItZGNX4aEQkMDMSIESNQv359nD59ulzD9PKiadOmaNeuHbZt28Z2FIlFPZSloCHv0onr/NfyXofP5+Po0aOwsrJCu3btEBMTg127diElJQVubm5iKSaBz5sSm+lURXM9DZjpVBXa5sE1a9aEl5cX7t27BxUVFbRv3x4jR46k9yuROT169EBUVBScnJzg4eGBJk2a4PLly989RpQHKrx58wYLFiyAgYEBPD09MW3aNCQmJmLdunXlLiYjIyPRt29ftG7dGpmZmQgMDERoaGi5i0lAeCMiffr0QWhoKN6/f49WrVrh9u3b5c4i6+go5tLRHMpS0JB36STtnNn3799jz5498PT0REpKCrp06YLz58+je/fuMjlHqGXLlggNDYW3tzcWLFiA06dPY8mSJZg9e7bIj6AkRFxUVVXh7u6OESNGYOrUqejatSuGDx+O9evX41pqoVAPVKiprowhFnpIT0/HunXrsH37dnC5XMyaNQtz5sxBjRo1yt3u8+fP4erqikOHDsHQ0BB+fn4YOnSoUD6TjLUqw62PGdxg9scjIubm5rh37x4GDhwIGxsb7Nq1C2PHjq1wNlmho6OD6OhotmNINNn7dhUyHR0dvH37FoWFhWxHkViScs5sUlIS5syZA11dXSxcuBA2NjZ4/PgxLl26hB49eshkMfkFl8vF2LFj8ezZM4wbNw4LFy5EkyZNcPHiRbajESJUjRo1wrVr13DgwAEEBwejkYU1FgdECPUaS05HYfKcRahXrx527doFR0dHJCUlwcPDo9zF5KtXrzB16lQ0aNAAISEh2LFjB2JiYjB8+HCRfCZVZESkZs2auHTpEsaMGYNx48Zh7ty5KC4uFnpGaUSdS6WT3W9YIfmyXUBaWhrLSSQX2+fM3r17F4MHD0b9+vXh7e2NWbNmITk5GQcOHEDTpk1FmkvSVKtWDZs3b8ajR49Qu3ZtdO/eHQMGDEBycjLb0QgRGg6Hg9GjRyMuLg4GgxeiSMjTbj4V8XE2ozLmzZuH5ORkrFixApqamuVqIzMzE/Pnz0f9+vVx7NgxrFy5EgkJCZg8eTIUFRWFmleYlJSUsGvXLnh6emLz5s3o1asX3r9/z3Ys1n0Z8qZ9gH+PCspS0P5TZWNjWkuk+1D+eM4sn8+Hv78/2rRpg9atWyMiIgLbtm1DamoqVqxYAW1tbZFkkRbm5uYICQnB4cOHcffuXTRo0ADLli1Dfn4+29EIEZosvhKylLTAURDu7C0OVwGKuk3gMN0JGhoa5XpuTk4Oli9fDkNDQ+zYsQPz58/Hixcv4OTkBBUVFaHmFBUOh4OZM2fiwoULuHv3LqysrBAf//PcUnmio6MDPp+Pt2/fsh1FYlFBWQoqKMtmhKWeSPeh/HLObE5ODjZt2gRjY2MMGjQIysrKCAwMRExMDKZMmQJVVdqg9wsOh4OhQ4ciLi4Os2fPxooVK2BmZobAwEA6k5bIBEk6UOHTp0/YtGkT6tevD3d3d4wfPx4vXrzA0qVLUbVq+XenkARdu3ZFWFgYBAIBLC0tceXKFbYjsYZqgdJRQVmK6tWrQ0lJid5EpTDWqgxroxpC/3D/cs6s0qdszJs3D3Xr1sW8efO+7scYEhKC3r17y/T8yIpSV1fHqlWrEBkZCRMTE/Tt2xc9e/aU+x4HIv3EcaBCafh8Pvbu3QsTExM4OTmhb9++iI+Px4YNG2Ti0AETExOEhYWhVatW6N69O7Zt2yaXN6RUUJaOvoVLweFwaOugMvKwNwdPyAUlFww+XtsNQ0ND7NmzB1OnTkVSUhJ8fHzQokULoV5L1pmamuLChQs4deoUYmJi0LhxYyxcuBAfP35kOxoh5cb2gQoCgQDHjh2DmZkZJkyYgNatWyM6Ohq7d++Grq6uSHOJW7Vq1XD27FnMnDkTM2bMwNSpU1FUVMR2LLHS0tICh8OhWqAEVFCWAa3uKhtRnDObdnYzIu9cw6ZNm5CamopVq1aV+1gz8n8cDgd9+/bF06dPsWjRImzatAkNGjTA0aNH5bLXgUiv5Mzcn07AETYGQFLm96fHMAyDCxcuoGXLlhgyZAjq16+Phw8f4ujRozA1NRVxIvbweDxs3LgRe/fuxb59+9CtWzdkZmayHUtseDwetLS0qBYoARWUZUAbmpbdUAs9OHUzqVgj/xU2VZOvw2fpNMTFxWHGjBlQV1cXQkICACoqKnB1dUVMTAxatWqFoUOHolOnToiKimI7GiFlwsaBCrdu3UKHDh1gZ2cHNTU13LhxA+fPn0fz5s3FkkUSjBs3DlevXkVUVBRatWolV3szUudSyaigLAN6E5VPRc6ZZYr54DDFmNJcHRGH1qBfv35QUFAQUVJiYGCAkydPIigoCK9evUKzZs3g6OhI24QQiSfOAxUeP36Mnj17wtraGjk5OTh//jxu3Lght0edtmvXDuHh4VBTU0Pr1q1x9uxZtiOJBU1/KxkVlGVABWX5DbXQw2XHDmhj+HnvttIKS0bwefPc6kVvcWNBVzgP7iDyjOT/unfvjsjISHh4eGD37t0wMTHBgQMHaM81IrHEcaACALjNnY7mzZsjISEBR48exYMHD9CjRw9wOOK4uuQyMDBAaGgoOnXqhD59+mDNmjUyP22GaoGSUUFZBjo6OsjKysKnT5/YjiJVynLOLBgG1RQKMaKVLoaoP0PU1ikoyKJfWDYoKSlh/vz5iIuLQ+fOnTF27Fi0bdsWDx48YDsaIT8Rx4EKRdmvcPfWdezZswfR0dEYPHgw7SjxDXV1dZw8eRKLFi3CggULMHr0aJn+nqTpbyWj34wy+LJJNr2R/oyxVmXM71IPQ9VioXjaGa/2zUSNh/sxp1EBIly64PEKe3gMaA63OVOgpaWFf/75h+3Icq1OnTo4dOgQrl27htzcXFhYWGDKlClyNQGfSAdRHqjACIphoaOK+Ph4jB8/HjyecDdPlxVcLhcrVqzAoUOHcPz4cXTs2FFmvyt1dHSQlpZGx1H+BhWUZUD7T/25169fY/HixdDV1cWMGTPQrHFDXD/lh/vB/pjl0B9V1Sp9fayKigqWLVuGY8eOITw8nMXUBAA6dOiAhw8fYvPmzThy5AiMjY2xY8cO+jAlEkOUBypwuApYN6UPKlWqVPqDCYYNG4YbN24gJSUFrVq1wsOHD9mOJHQ6OjoQCATIyCh9f1J5RAVlGVBBWX4REREYM2YM9PX14enpidGjR+P58+c4duwYWrdu/dvnjR49GmZmZpg/f77Mz8eRBjweDzNnzsSzZ89gb2+PadOmoWXLlggNDWU7GiEiP1DBqFZlobYr6ywsLHD//n1oa2ujXbt2OH78ONuRhIpqgZJRQVkG1apVQ6VKlWS2G19YBAIBLly4gK5du6JZs2a4evUqVq5cidTUVGzYsAEGBgaltqGgoICVK1fi2rVrCAoKEn1oUia1atXC3r17cffuXfB4PLRt2xajR49GWloa29GInBPFgQo8Lgce9uZCbVNe6Ojo4Pr16+jXrx8GDx4MV1dXmVncRwVlyaigLAMOh0Oru0qQn5+P3bt3o3HjxrCzs8P79+9x5MgRvHjxAnPnzi33Oba9evWCtbU1FixYQMOrEsbS0hJhYWHYvXs3zp07BxMTE2zYsEHuTs0gkkMUByos62MGXREv+JFlKioq8PPzg4eHB5YtW4bBgwcjNze39CdKuJo1a0JBQYFqgd+ggrKMqKD8WXp6OlxdXaGnp4fJkyejQYMGuHXrFsLCwjBkyJA/nsTO4XCwZs0aREZGwtfXV8ipSUVxuVxMmDABz549w6hRozBv3jw0bdoUV65cYTsakVNCOVDhP/O6mWKIhZ5Q2pJnHA4HCxcuxKlTpxAUFIR27dohJSWF7VgVoqCggNq1a1Mt8BtUUJYRbWj6f9HR0ZgwYQL09fWxfv16DBs2DPHx8Th58iTatm0rlP3ZrKysMGDAALi4uMj0NhTSrHr16ti6dSsePnwITU1NdOnSBYMHD5b6Lw0inb47UKGcH0EKXA6UeVys7m+O6TZGogkop/r27YvQ0FBkZ2fDwsJC6udfU+fS71FBWUby/iZiGAYXL16Era0tGjdujKCgICxbtgypqanw9PRE/fr1hX5Nd3d3vHr1Clu3bhV620R4mjZtihs3bsDX1xc3b95Ew4YN4eHhgYKCArajETnz5UAFfZXCz3/BlDx378tinjaGmrjs2IF6JkWkSZMmCA8Ph6mpKWxsbODt7c12pD8m77VASaigLCN5fRN9+vQJ+/btg7m5Obp37443b97A19cXiYmJmD9/PjQ0NER2bVNTU0ycOBEeHh7Izs4W2XVIxXE4HIwYMQJxcXGYNm0aXF1d0bhxY5w7d47taETOfExPRqTnJLzaPRW8xFDUUBb8dKACB4C+piocLPVx2bE9fMZb0pxJEatZsyYuX76MUaNGYcyYMXBycpLKOfLyWguUCUPKxMfHhwHA5Obmsh1FLDIyMphly5YxtWrVYjgcDtOnTx/m2rVrjEAgEGuO169fM2pqasy8efPEel1SMU+fPmW6dOnCAGB69erFJCQksB2JyLikpCRmzJgxDIfDYQAwkyZNYvh8PsMwDPPxUxET9fId8zA5i4l6+Y75+KmI5bTySyAQMJs3b2a4XC5jZ2fHvHv3ju1I5bJ8+XKmVq1abMeQSFRQltGVK1cYADL/xfj06VNm0qRJTKVKlRgVFRVm2rRpTFxcHKuZlixZwigrKzPJycms5iDlIxAImBMnTjB6enqMkpISs3jxYrm5ISPik5aWxsycOZNRVFRkatWqxdja2jKVK1em95qECw4OZqpWrco0bNiQiY+PZztOme3du5cBwBQWFrIdReLQkHcZyfL+UwzD4MqVK+jZsycaNWqEwMBAuLi4IDU1Fdu2bYOJiXBWT/4pJycnVKlSBa6urqzmIOXD4XDQv39/xMTEYMGCBVi7di0aNmwIf39/2rSeVNi7d+/wzz//wNDQED4+Pli6dCkSEhIQExODIUOGQFWVhrAlWbdu3RAWFobi4mK0atUKV69eZTtSmXw5ijk9PZ3lJBKI7YpWWrx//54BwBw5coTtKEJTUFDAeHt7M02bNmUAME2aNGG8vb2ZT58+sR3tJ1u2bGE4HA7z5MkTtqOQP/T8+XOmT58+DACmc+fOTHR0NNuRiBT6+PEjs3LlSqZatWqMqqoqs3DhQiYrK4thmP+PJN2+fZvllKSssrKymK5duzIKCgrMtm3b2I5TqsePHzMAmLCwMLajSBwqKMtIIBAwqqqqzIYNG9iOUmFv375l3N3dGW1tbQYAY2dnx1y5ckXs8yPLo6CggKlfvz5jZ2fHdhRSQefOnWOMjIwYHo/HzJ07l3n//j3bkYgUKCgoYLZu3crUrl2bUVRUZGbMmMG8fv36u8c4ODgwxsbGEv1ZRn5WVFTEzJ49mwHATJ06VaKHkzMyMhgATEBAANtRJA4VlOVgZGTEODk5sR3jj8XFxTFTp05lVFRUmEqVKjGTJk1inj59ynasMjt69CgDgAkJCWE7CqmgT58+MR4eHoyqqipTu3ZtxsfHh4oA8kt8Pp/x9vZmDAwMGA6Hw4waNYp58eLFT497//49o6Kiwri7u7OQkgjD7t27GUVFRcbGxoZ5+/Yt23F+qbi4mFFUVJSK3lRxozmU5SCN2wUwDIPr16+jb9++aNCgAU6cOIGFCxciJSUFu3btQsOGDdmOWGYDBw5Ey5YtMX/+fJqDJ+WUlZWxcOFCxMbGon379nBwcIC1tTUeP37MdjQiIRiGQUBAAJo0aYLRo0ejefPmiIyMhLe3N+rVq/fT448fP45Pnz5h1KhRLKQlwjBhwgRcvnwZkZGRaNWqFZ4+fcp2pJ9wuVw66OQ3qKAsB2kqKIuKiuDn54eWLVuiY8eOePHiBfbu3Yvk5GS4uLigZs2abEcsNy6XizVr1iA8PBz+/v5sxyFCoKuri6NHj+Lq1avIzs7GX3/9henTpyMrK4vtaIRFly9fhqWlJfr37w8dHR3cu3cPJ0+ehJnZ78/s3r9/P7p27Yq6deuKMSkRtvbt2yM8PByqqqqwsrKSyL1spakWECcqKMtBR0cHr1+/ZjtGibKzs7FmzRrUq1cPI0eORM2aNREcHIwnT55g7NixqFSpEtsRK8TGxgY9evTAokWLUFRUxHYcIiQ2NjZ4/Pgx1q9fD19fX5iYmGD37t1SufEx+XNhYWHo3LkzunbtCi6XiytXruDSpUuwsLAo8Xnx8fG4ffs2xowZI56gRKQMDAwQGhoKGxsb9O7dG2vXrpWoUSkqKH+NCspykOQ30fPnzzFr1izo6urCxcUFtra2iIyMRFBQELp16yaU87UlxapVq/D8+XN4eXmxHYUIkaKiIv7++2/ExcWhV69emDRpEiwtLXH37l22oxERi4qKQr9+/WBlZYX09HScOnUKd+7cQadOncr0fG9vb1StWhX9+vUTbVAiNpUrV0ZAQACcnZ0xf/58jBkzBp8+fWI7FgDJrgXYRAVlOWhrayMnJwc5OTlsRwHweY7R7du30b9/fxgbG+Pw4cNwcnJCSkoK9uzZg8aNG7MdUSSaNGkCBwcHLFu2TGL+XxDhqV27Ng4cOIDQ0FAwDIPWrVtj3LhxyMjIYDsaEbIXL17AwcEBTZo0QWRkJHx9fREREYG+ffuW+Sa4uLgY3t7eGDp0KFRUVEScmIgTl8uFh4cH/Pz8cPToUdjY2CAtLY3tWFRQ/gYVlOXwZXNztoe9+Xw+jh49CisrK7Rr1w4xMTHYtWsXUlJS4ObmBi0tLVbzicPy5cvx/v17rF+/nu0oRERat26Ne/fuYefOnTh9+jRMTEzg6ekJPp/PdjRSQa9evcK0adNgamqKK1euYPv27YiJicGIESOgoKBQrrauXr2Kf//9F2PHjhVRWsK24cOH48aNG0hOToaFhQUePXrEah4dHR1kZmaioKCA1RyShgrKcmD7tJwvBVT9+vUxdOhQVKlSBefPn0d0dDQmTpwoV3fnenp6mDlzJtatWycRd6xENBQUFDB58mQ8e/YMw4YNw99//43mzZvj2rVrbEcjfyArKwsLFiyAkZERjhw5And3dyQkJGDKlClQUlL6ozYPHDiABg0aoFWrVkJOSyRJq1atEB4ejtq1a6Nt27Y4fvw4a1kkpXNJ4rC5Z5G0+fDhAwOA8fPzE+t1X7x4wfz9999M5cqVGUVFRWb06NHM48ePxZpBEmVmZjLVqlVjpk6dynYUIiYPHjxgWrduzQBghg4dyqSmprIdiZRBTk4Os3z5cqZKlSqMmpoas3jxYubdu3cVbjc7O5upVKkSs2rVKiGkJNIgLy+PGTp0KAOAcXNzY4qLi8WeISoqik5k+gUqKMupcvUazPyVnszD5Cwm6uU75uOnIpFd686dO8zAgQMZLpfLVK9enfnnn3+YV69eiex60mj16tWMgoICExcXx3YUIibFxcWMt7c3o6WlxaipqTGrVq2SyONCyecN7Ddt2sTUrFmTUVJSYmbPns2kp6cLrf1du3YxXC6XefnypdDaJJJPIBAwK1asYAAwAwcOZD5+/CjW62dlZTEAGH9/f7FeV9JxGEaC1uJLqPj0HPiFpSAkLgPJmbnAN5PFOQD0qqvCxrQWRljqwVircoWuxefzcerUKWzYsAF37tyBiYkJHB0dMWrUKKiqqlbwlcie/Px8mJiYwMrKitUhECJ+79+/x9KlS+Hp6Yn69etj8+bNsLW1ZTsWwefPsYMHD2Lp0qX4999/MWbMGLi6ukJPT0+o12ndujU0NDRw/vx5obZLpENAQAAcHBxgYmKC06dPQ1dXVyzXZRgGKioqWLt2LWbOnCmWa0oDmkNZgtSsPDjsDUPXTTfgE5aM5Ky874pJAGAAJGflwScsGV033YDD3jCkZuWV+1o5OTnYtGkTjI2NMWjQICgrKyMwMBAxMTGYMmUKFZO/oaKiguXLl8Pf3x9hYWFsxyFiVLVqVWzYsAERERGoU6cOevTogX79+iExMZHtaHJLIBDA398f5ubmGD9+PCwtLREdHY29e/cKvZiMjY3F3bt3ae9JOWZvb4/Q0FBkZWXBwsICd+7cEct1ORwOrfT+BSoof+NIeAq6bLyO0BeZAIBiQckduV9+HvoiE102XseR8JQyXSclJQXz5s1D3bp1MW/ePLRr1w4PHjxASEgIevfuDS6X/heVxsHBAY0bN6YjGeWUmZkZrly5gqNHj+LBgwdo1KgR3NzckJ+fz3Y0ucEwDIKDg2FhYYFBgwbBwMAADx48wLFjx9CgQQORXNPb2xsaGhro06ePSNon0qFJkya4d+8ejI2N0bFjR3h7e4vlulRQ/oyqlV/YGhIP55ORKOALSi0kf1QsYFDAF8D5ZCS2hsT/9nHh4eEYNmwYDA0NsWfPHkydOhVJSUnw8fFBixYtKvoS5IqCggJWrVqFGzdu0NCXnOJwOBg8eDBiY2MxZ84crFy5Eo0aNUJAQADdZIjY7du30bFjR9ja2kJFRQXXr1/HhQsXRPo5VlxcjIMHD2LYsGFSf/oXqbhatWrh8uXLGDlyJMaMGYP58+eL/JQtKih/RgXlD46Ep2DdxWdCaWvdxWc4+k1PZXFxMU6dOgVra+uvWyBs2rQJqampWLVqFerUqSOU68ojOzs7dOjQAc7OznRcnxxTU1ODu7s7oqKi0LBhQ/Tv3x+2traIi4tjO5rMiYiIQK9evdCuXTu8f/8e586dw82bN9G+fXuRX/vSpUt49eoV7T1JvlJWVsaePXuwceNGrF+/Hn379sWHDx9Edj0qKH9GBeU3UrPy4BoYLdQ2lwRGI/bfN9i6dStMTU1hb28PDoeDgIAAxMXFYcaMGVBXVxfqNeURh8PBmjVrEBUVhYMHD7Idh7DM2NgY586dQ2BgIBISEmBubo4FCxbQyUpCEB8fj2HDhqFZs2aIi4vD4cOH8fDhQ9jZ2YntiNcDBw7AzMwMf/31l1iuR6QDh8PB33//jfPnz+PWrVto3bo1nj9/LpJrUUH5Myoov7EoIBL8cg5xl6awiI/Oznvx999/w8LCAmFhYbhx4wb69etX7hMhSMlatWqFQYMGYcmSJTR/joDD4aB3796Ijo7GkiVLsGXLFjRo0ACHDx+mYfA/8O+//2LSpElo2LAhbt68CS8vLzx9+hRDhw4V61zv7OxsnDp1CmPGjBFbAUukS/fu3REWFoaioiK0atUKISEhQr+Gjo4O3r17h7y88i/ClVVUUP4nPj0HNxPelnvOZGkYDheKuua4+uApDh8+TKc5iJi7uzvS0tKwZcsWtqMQCVGpUiUsXrwYMTExaN26NYYPH46OHTviyZMnbEeTCm/fvsXcuXNhZGSEkydPYs2aNUhISMDEiROhqKgo9jxHjhwBn8/HyJEjxX5tIj1MTU0RFhaGFi1aoFu3btixY4dQ26fTcn5GBeV//MJSoMAVzd2uApeDq8lFImmbfM/Y2BiTJk3CypUrkZWVxXYcIkH09fXh7++PixcvIiMjA82bN8esWbPw7t07tqNJpA8fPmDp0qUwNDTE7t27sXDhQrx48QJz5sxhdSHM/v370aNHD9SuXZu1DEQ6aGho4MKFC5g6dSqmTZuG6dOno6hION/FbB/FLImooPxPSFyG0HsnvygWMAh5liGStsnPlixZAj6fDw8PD7ajEAnUtWtXREREYM2aNdi/fz9MTEywb98+CAQCtqNJhPz8fGzYsAGGhoZYuXIlJk2ahBcvXsDV1RVVqlRhNVt0dDTCw8Np70lSZjweD56enti1axe8vLxga2srlM4GKih/RgUlgI8FfKT8wWbk5ZGSmYfcAr5Ir0E+09LSgpOTE7Zs2YLk5GS24xAJpKSkhLlz5+LZs2fo3r07xo8fj9atWyM8PJztaKwpKiqCl5cXjI2NMX/+fAwYMAAJCQlYt24datSowXY8AJ/3ntTU1ETv3r3ZjkKkzKRJk3D58mVERESgVatWiImJqVB7lStXhpqaGhWU36CCEkByZi5EPUWfAZCUmSviq5Av5syZg2rVqmHJkiVsRyESTFtbGz4+Prhx4wYKCgpgaWmJiRMn4s2bN2xHExuBQIDDhw+jUaNGmDx5Mtq3b4/Y2Fjs2rULdevWZTveV3w+Hz4+Phg+fDiUlJTYjkOkUIcOHRAeHg4VFRVYWVlVaN/iL6fl0BzK/6OCEkAhXzxDXeK6Dvl89+jq6gofHx9ERESwHYdIOGtra9y/fx9bt26Fv78/TExMsG3bNvD5sjuqwDAMzp07hxYtWmD48OFo0KABHj9+jEOHDsHIyIjteD8JDg5GWloa7T1JKqRevXoIDQ1Fhw4d0KtXL6xbt+6Pd32grYO+RwUlACWeeP4ziOs65LOJEyfCyMgIzs7ObEchUoDH42HatGl49uwZBg0ahJkzZ6Jly5a4desW29GE7saNG7C2tkavXr1QtWpV3Lp1C2fOnEHTpk3ZjvZbBw4cQJMmTdCsWTO2oxApV7lyZQQEBGDBggWYN28exo4di4KCgnK3o62tTQXlN6jCAWCgqQZR72bG+e86RHwUFRXh4eGBoKAgXL16le04RErUrFkTXl5eCAsLg7KyMqytrTFy5EiZ+OJ4+PAhbG1t0aFDB+Tn5yMoKAjXrl1D27Zt2Y5WoszMTAQGBtLek0RoFBQUsHLlSvj4+ODIkSOwsbFBenp6udqopaOLf3OBRynZiH71Xu7XSXAY2uEXANBhbQiSRbgwR19TFdedbETWPvk1hmFgZWUFgUCAsLAwsW7ATKSfQCCAt7c3FixYgPz8fLi6umLWrFlSN4cvNjYWLi4u8Pf3h6mpKVasWIEBAwZITXG2detWODo64uXLl6hVqxbbcYiMCQsLQ79+/aCoqIjTp0+jefPmv31sfHoO/MJSEBKXgeSsXOCb7igOAL3qqrAxrYURlnow1qos+vAShL5d/2NjWkuk+1DamNCHIBu+HMl4//59HD9+nO04RMpwuVyMHTsWz549w7hx47BgwQI0bdoUly5dEkr7uQV8RL96L7IejuTkZIwfPx5mZma4d+8e9u3bh6ioKAwcOFBqikng896TPXv2pGKSiISlpSXCw8NRq1YttGvXDidOnPjpMalZeXDYG4aum27AJyz5vw6o73+HGADJWXnwCUtG10034LA3DKki3kFGklAP5X/i03PQddMNkbV/2bE9jGrJ192KJOnVqxdiYmIQExMjdb1LRHI8efIEM2fOxI0bNzBgwACsX78e+vr65Wrj2x6OlKy873aYEFYPR0ZGBtzd3bFz505UrVoVixcvxuTJk6GsrPxH7bHpyZMnaNq0KQICAtCvXz+24xAZlpeXh3HjxuHo0aNYunQpXFxcwOFwcCQ8Ba6B0eALmHLtV63A5YDH5WBpHzMMtdATYXLJQAXlNxz2hiH0RaZQNzhX4HLQxlATPuMthdYmKb+oqCg0adIEnp6emDFjBttxiBRjGAZHjhyBk5MTsrOzsXDhQsybN6/U02NSs/KwKCASNxPeQoHLKfFz5svPrY1qwMPeHLrVVcuU7d27d1i3bh02bdoEHo+HefPmYfbs2VBXVy/Xa5Qkc+fOhY+PD16+fMnKUY9EvjAMA3d3d7i4uGDQoEGwGu8Gz2uJFW7XqZsJZtgYCyGh5KKC8hupWXnosvE6CoS4vY8yj4vLjh3K/IVARGfs2LE4d+4cEhISWD/xg0i/jx8/YsWKFdiwYQN0dXWxadMm9OrV65dDyaLu4cjLy8OWLVuwevVqfPr0CbNmzcL8+fNRvXr1P3ptkqKoqAh169bF8OHDsXHjRrbjEDly8uRJTFy1H5U7TxFam6v7m2OIDPdU0hzKb+hWV8XSPmZCbXNZHzMqJiXEsmXLkJOTg3Xr1rEdhcgAdXV1rFq1CpGRkTAyMkKfPn3Qq1cvxMfHf/e4rSHxcD4ZiQK+oNyjH8UCBgV8AZxPRmJrSPxPPy8sLMSOHTtgZGSExYsXY9iwYXj+/DlWrVol9cUkAFy4cAEZGRm09yQRO4uOttDsNuWP96j8lSWB0TI9p5IKyh8MtdCDUzcTobQ1r5upTN+NSBtdXV3MmjUL69evp9MNiNCYmpoiKCgIAQEBePr0KRo3boxFixYhNzcXR8JTsO7iM6FcZ93FZzgangIAKC4uhq+vLxo2bIjp06ejS5cuiIuLw7Zt26CtrS2U60mC/fv3o3nz5mjSpAnbUYicWRQQiWKGI9TFa3wBg0UBkUJrT9LQkPdv/OkQFSMoBo/LgUf/plRMSqDs7GzUr18fQ4YMwY4dO9iOQ2RMfn4+1qxZg1WrVqGGvimU+68AnxHeF5Iyj4sFjQuxccViREVFoV+/fli+fDkaN24stGtIijdv3kBHRwfr16/HrFmz2I5D5Agt0v0z1EP5G0Mt9HDZsQPaGGoCQKlbCn35uQ43B692T0UTdTq3WxJpaGhg0aJF2L17N+Li4tiOQ2SMiooKXF1d8fTpU1TrOhVF/GKhtl9QWISFAU9Qq1Yt3L17FwEBATJZTALAoUOHwOFwMHz4cLajEDnjF5Yi0m0Efe+miKRttlEPZRl83ebjWQZSMn+xzYemKmxMamGklR7qVlFEkyZNULt2bVy7do020pZAnz59gqmpKVq2bPnL/cYIqSjq4ai4Zs2aoX79+vQ7SsSODjr5M1RQllNuAR9Jmbko5AugxOPCQFMNasq87x5z9epVdO7cGbt378aECRNYSkpKcvDgQYwePRqhoaFo3bo123GIjHELjIZPWLJQtyD7QoHLgYOlPtyEvIBQkjx+/BjNmzdHYGAgevfuzXYcIkc+FvBh7hYMURZGHABRbt1/qh2kHXWflZOaMg9mOlXRXE8DZjpVf/mG6NSpE0aPHo158+YhLS2NhZSkNCNGjECTJk2wYMECoa7iIwQAQuIyRFJMAp9Xfoc8yxBJ25LiwIED0NLSgq2tLdtRiJxJzswVaTEJfD5RJylT9qbFUUEpIuvWrQOPx4OjoyPbUcgvKCgoYNWqVbh58ybOnj3LdhwiQz4W8JEi4q1BUjLzhH5Mo6QoLCyEn58fRo4cSRuZE7ErFOI+1JJwHXGiglJEatSogQ0bNuDIkSO4cOEC23HIL9ja2sLGxgbOzs7g82Xzy5mIH/VwVMy5c+fw9u1bjBkzhu0oRA4p8cRTFonrOuIke69IgowcORKdO3fG1KlTkZsrmx/+0ozD4WDNmjV4+vQpvL292Y5DZAT1cFTM/v370bJlS5ldvU4km4GmGkSzvvv/OP9dR9ZQQSlCHA4HO3fuRHp6Otzc3NiOQ36hZcuWGDJkCFxdXZGXJ7snGBDxoR6OP5eeno7z589T7yRhjZoyD3oiPt1OT1NV5hbkAFRQipyRkRGWLFmCjRs34vHjx2zHIb+wYsUKpKenw9PTk+0oRAZQD8ef8/Pzg4KCAoYNG8Z2FCLHbExriXQfShuTWiJpm21UUIqBk5MTGjZsiIkTJ6K4WLgbHZOKMzIywpQpU7Bq1SpkZmayHYdIOerh+DMMw2D//v3o27evTJxDTqTXCEs9ke7SMNJKNk/Ro4JSDBQVFeHl5YUHDx5g69atbMchv+Di4oLi4mK4u7uzHYXIAOrhKL+HDx8iKiqKhrsJ64y1KsPaqIbQf4cVuBxYG9WQ2UMJqKAUk9atW2Pq1KlYvHgxUlNT2Y5DflCrVi3Mnz8f27ZtQ1JSEttxiJSjHo7yO3DgALS1tdGtWze2oxACD3tz8IRcUPK4HHjYmwu1TUlCBaUYeXh4oHLlypgxYwZtpi2BHB0doaGhARcXF7ajEClHPRzlU1BQgEOHDsHBwQE8nmwN5RPppFtdFUuFfBrVsj5m0BXxdBg2UUEpRlWrVsWWLVsQGBiIgIAAtuOQH6irq8PNzQ1+fn60gIpUGPVwlN2ZM2eQlZVFw91Eogy10EMvvf86fyrYCTSvmymGWMjeyMK3/tfefcdFQT9uAH/umIqoIAJqIO6BoJbGyBGWWmmaexW4QylHmisTNaNwL1DJjYPKkRj+XIkTMUBQxG3AqTjBwVDwuPv9UfJFBQXujs+N5/168Xp9kfPuoS/gw2fyLu9yplQq0b17d8TGxuLChQuoUqWK6EhUyLNnz9CsWTM4OTlh3759ouOQjguLkWHKjkS1PV9gTxe9/EepS5cuSE9PR3R0tOgoRAXi4uLQrl07vN3na9x1aA+5QlmqpSxGUgmMpRLM7uasl9+3L+MIZTmTSCQICgpCZmYmpk2bJjoOvcTExAQ//fQT9u/fj4MHD4qOQzquf2tHTOzUUC3Ppa8jHLdu3cLevXs5OklaRSaToWvXrnB2dsa+4Bk4OL49POtWA4A3LmV5/nHPutVwcHx7vfy+LQpHKAVZsmQJxo8fjxMnTsDDw0N0HCpEqVTC09MTeXl5iImJgVTK37tINWExMviHJ3GEowjz5s3D999/j9u3b6Nq1aqi4xDh0aNHaNOmDbKyshAdHQ07O7uCj125k4nNp2SIvHwXsvScF65ZleDfI728Gtric3dHvVvr/CYslILk5+fD3d0dT58+xenTp2FiYiI6EhVy7NgxtGvXDlu2bOEhy6QW1zNyMG1nIo5dvQ8jqeS1xfL5x9vWt0FADxe9XcivVCrh7OyM5s2bY+vWraLjEOHZs2f45JNPEBsbi6ioKDRp0qTYx2bnypGSno08uQKmxlI4VbPQu/NhS4OFUqD4+Hi0bt0aP/zwA6ZOnSo6Dr2kW7duOHfuHC5cuAAzMzPRcUhPPB/hCP3rNPIrWAGS/02fGdoIx99//w03Nzfs3bsXnTt3Fh2HDJxSqcTw4cMRGhqKffv2wcvLS3QkncJCKdi3336L5cuX49y5c6hXr57oOFRIUlISXF1dsWjRIowZM0Z0HNIjz549g6WlJWYHBKJL/8EGO8IxevRohIeHIzU1FUZGRqLjkIELCAjAd999hw0bNsDb21t0HJ3DQilYdnY2nJ2d0aBBA+zfvx8SiaZvAabSGDZsGMLDw3Ht2jVUrlxZdBzSE2fOnEGLFi1w7NgxtGnTRnQcIZ4+fYoaNWpg1KhRCAgIEB2HDNyWLVswaNAgzJw5E/7+/qLj6CTuNhDMwsICK1aswMGDB7Fp0ybRcegls2bNQlZWFubOnSs6CumR2NhYSCQStGjRQnQUYXbt2oWHDx9ydzcJd/ToUQwZMgTe3t6YMWOG6Dg6iyOUWmLAgAE4ePAgLly4ABsbG9FxqJCpU6diyZIluHr1KmrWrCk6DumB0aNH4/Dhwzh//rzoKMJ89NFHyMzMxIkTJ0RHIQN26dIleHh4oEWLFti7dy9MTU1FR9JZHKHUEosXL4ZcLse3334rOgq9ZPLkyahQoQJmzZolOgrpibi4OLRq1Up0DGFu3ryJAwcOcHSShLp37x4++eQT2NvbY/v27SyTKmKh1BJ2dnaYO3cu1q9fj0OHDomOQ4VUrVoV3333HdasWYOLFy+KjkM67tmzZzhz5gzeeecd0VGECQ0NhZmZGfr27Ss6ChmoJ0+eoFu3bsjKysKePXtgZWUlOpLO45S3FlEoFGjfvj3u3LmDs2fPwtzcXHQk+k9ubi4aNWqEli1b8h52UklCQgJatmyJ48eP47333hMdp9wplUo0btwYrVu35rpxEkKhUKBv377Ys2cPjhw5gtatW4uOpBc4QqlFpFIpQkJCkJKSgh9//FF0HCrEzMwMc+bMwR9//ME1X6SSuLg4SKVSg92QEx0djcuXL3O6m4SZMmUKduzYga1bt7JMqhELpZZp0qQJpk6disDAQCQlJYmOQ4UMHDgQzZs3x+TJk8GBfSqr2NhYNG7cGBYWFqKjCLF+/Xo4ODigQ4cOoqOQAVqxYgXmzZuHRYsWoXv37qLj6BUWSi00depU1KlTByNHjoRCoRAdh/4jlUoRGBiIEydOIDw8XHQc0lGGvCEnJycHYWFh8PHxgVTKf36ofO3ZswdfffUVxowZg7Fjx4qOo3f4Ha2FzM3NERISgqioKPzyyy+i41AhnTp1wgcffIApU6ZALpeLjkM6Ji8vz6A35Pzxxx94/Pgxp7up3MXHx6Nv377o2rUrFi5cKDqOXuKmHC02bNgwbN++HRcuXECNGjVEx6H/PB9hCgkJwYgRI0THIR0SHx+Pt99+GydOnICnp6foOOWuY8eOyM3NxdGjR0VHIQNy/fp1uLu7o0aNGjhy5IjBLjfRNI5QarF58+bB1NQU48aNEx2FCnnnnXfQv39/+Pv7IycnR3Qc0iGGvCFHJpPhr7/+4ugklavHjx+jS5cuMDExwZ9//skyqUEslFrM2toaixYtwm+//YaIiAjRcaiQH3/8Effv38fixYtFRyEdEhsbiyZNmqBixYqio5S70NBQVKhQAX369BEdhQzEs2fP0KdPH8hkMkRERMDe3l50JL3GQqnlBg4ciE6dOmH06NHIysoSHYf+U7duXYwaNQqBgYG4f/++6DikIwx1Q45SqcT69evRu3dvWFpaio5DBkCpVGL06NE4dOgQtm/fDmdnZ9GR9B4LpZaTSCRYsWIF7t27B39/f9FxqJDp06dDqVRizpw5oqOQDsjLy8PZs2cNckPOiRMncPXqVU53U7kJDAzE6tWr8csvv+CDDz4QHccgsFDqgLp168Lf3x+LFy9GXFyc6Dj0n+rVq2PSpEkIDg5GcnKy6Dik5c6dO4e8vDyDHKFcv349nJyc0L59e9FRyACEhYVh6tSpmDFjBn+JKUfc5a0jnj17hlatWsHY2BinTp2CsbGx6EgEIDs7Gw0aNICXlxc2b94sOg5psV9++QW+vr7IzMw0qDWU2dnZsLe3x4QJEzBz5kzRcUjPHT9+HB9++CH69OmDjRs3QiKRiI5kMDhCqSNMTEwQEhKC+Ph4LFu2THQc+o+FhQVmzpyJLVu24PTp06LjkBaLjY1F06ZNDapMAsCOHTuQlZUFHx8f0VFIz125cgXdu3eHu7s7Vq9ezTJZzjhCqWO+/vprrFu3DklJSahdu7boOARALpejWbNmcHBwwIEDB0THIS3VqlUruLi4YN26daKjlKsOHTpAqVQiMjJSdBTSY/fu3YOHhwdMTEwQFRUFKysr0ZEMDkcodcyPP/6IqlWrws/Pj/dJawljY2P89NNPOHjwIAslFSk3N9cgN+SkpKQgMjKS69hIo54+fYrPPvsMjx8/RkREBMukICyUOqZy5cpYvnw5IiIisG3bNtFx6D+fffYZPD09MXnyZN6/Tq84d+5cwTpoQ7Jx40ZUqlQJvXv3Fh2F9JRCoYCPjw9Onz6N3bt3o27duqIjGSwWSh302Wef4bPPPsOYMWPw8OFD0XEI/x7vNHfuXMTHx2Pr1q2i45CWiYuLg5GREZo3by46SrlRKBRYv349+vTpw9tJSGOmTZuG33//HZs3b4abm5voOAaNhVJHLVu2DNnZ2ZgyZYroKPSf9957D927d8f06dORm5srOg5pkecbcipUqCA6Srk5duwYkpOTOd1NGhMSEoLAwEAsWLAAPXv2FB3H4LFQ6qi33noLP/74I1atWoUTJ06IjkP/CQgIgEwmw4oVK0RHIS1iiDfkrF+/HnXr1kXbtm1FRyE9tHfvXowePRp+fn4YN26c6DgE7vLWafn5+fD09ERWVhbi4+NhamoqOhIBGDFiBHbu3Ilr166hSpUqouOQYLm5ubC0tMSiRYvg5+cnOk65yMrKgr29PSZPnozvv/9edBzSM2fOnEGbNm3w/vvvY+fOnTyXWUtwhFKHGRkZ4ZdffsGlS5cwb9480XHoP7NmzUJOTg4CAwNFRyEtkJiYaHAbcrZt24acnBx4e3uLjkJ65saNG+jSpQsaNmyIrVu3skxqERZKHefq6ooJEybghx9+wOXLl0XHIQA1a9bE+PHjsXjxYty8eVN0HBLs+YYcV1dX0VHKzbp169ChQweelUtqlZmZia5du0IqleLPP/9EpUqVREeiQlgo9YC/vz9q1qwJX19fnk2pJSZNmoSKFSvyqjlCbGwsnJ2dDWZDzrVr13D06FFuxiG1ksvl6Nu3L5KTkxEREYEaNWqIjkQvYaHUAxUrVsSKFSsQGRmJjRs3io5DAKpUqYLp06dj7dq1OH/+vOg4JJChbcjZuHEjLC0tueuW1EapVMLPzw8HDx7E9u3b4eLiIjoSFYGFUk907twZAwcOxIQJE3Dv3j3RcQjAqFGj4OjoiKlTp4qOQoI8ffoU586dM5gbchQKBTZs2IB+/foZ3J3lpDnz5s1DSEgIVq1ahQ8//FB0HCoGC6UeWbRoERQKBSZMmCA6CgEwMzPDjz/+iPDwcBw/flx0HBLA0DbkHD58GKmpqZzuJrX5/fffMXnyZHz33XcYOnSo6Dj0Gjw2SM+sXbsWw4YNw4EDB/ibnBZQKBRo1aoVzM3NceLECUgkEtGRqBytXLkSX3/9NTIzM2Fubi46jsZ5e3sjOjoaly5d4tc6qSwqKgodOnRAr169sGnTJn5NaTmOUOqZIUOGoH379vD19cWTJ09ExzF4UqkUgYGBOHnyJP74448XPpadK0dS2iPEyx4gKe0RsnPlYkKSxjzfkGMIZfLx48fYtm0bBg8ezH/4SWVXr15Ft27d8O6772Lt2rX8mtIBHKHUQ5cuXSo4TiggIEB0HALQqVMnyGQy7DwUjV9jbyLy0l3IMnJQ+JtPAsDRuiK8GtlikJsjGthZiopLatKyZUu88847WL16tegoGrdmzRqMGDECqampcHBwEB2HdFh6ejo8PDwgkUhw8uRJWFtbi45EJcBCqadmzZqFOXPm4PTp09wRpwX2HouBT9BeVKjzNoykEuQriv+2e/7xtvVtENDDBQ7W3Nygi54+fQpLS0ssXboUo0aNEh1H49q0aQMLCwvs27dPdBTSYU+fPkXHjh1x8eJFREdHo169eqIjUQlxyltPTZkyBfXr18eXX34JhUIhOo5BC4uRYez++6jg1AIAXlsmC3886p90fLjoCMJiZJqOSBpw9uxZyOVyg9iQc+XKFZw4cYKbcUglCoUCQ4YMQWxsLMLDw1kmdQwLpZ4yMzNDSEgITp48iVWrVomOY7CWR17BlB2JyJUrAEnpvt3yFUrkyhWYsiMRyyOvaCghaUpcXByMjY0NYoZgw4YNqFKlCj777DPRUUiHff/99wgLC0NoaCg8PDxEx6FSYqHUY23btsXw4cMxZcoUpKWliY5jcMJiZJi/Xz3XYc7ffxm/cqRSp8TGxqJZs2Z6vyEnPz8fGzZsQP/+/Q3mNiBSv9WrVyMgIADz5s1D7969RcehMmCh1HNz585FhQoVMGbMGNFRDMr1jBz4hyep9TlnhCfhekaOWp+TNMdQbsg5dOgQbty4weluKrP9+/fD19cXo0aN4jnKOoyFUs9ZWVlh8eLF2L59O8LDw0XHMRjTdiZC/oa1kqUlVygxbWeiWp+TNOPJkydISkoyiBty1q9fj8aNG8PNzU10FNJBZ8+eRe/evdG5c2csXbqUxwPpMBZKA9CvXz989NFH8PPzQ2Zmpug4eu/KnUwcu3r/jZtvSitfocSxq/dx9S7/P9R2hrIh5+HDh9ixYwfPnqQySUtLQ5cuXVCvXj2EhYXB2NhYdCRSAQulAZBIJAgODkZ6ejq+//570XH03uZTMhhJNfOPq5FUgk3RXEup7eLi4mBiYqL3G3J+++035OXl4YsvvhAdhXRMZmYmunTpAgD4888/YWnJc3d1HQulgahTpw5mz56NZcuWITY2VnQcvRZ56a7aRyefy1coEXn5rkaem9Tn+YYcMzMz0VE0at26dejcuTNq1qwpOgrpELlcjv79++PatWuIiIhArVq1REciNWChNCDjxo2Dq6srRowYAbmc1/xpQlauHDINb5yRpefwmkYtp28bcoq6JvT5wdPcjEOloVQqMWbMGOzbtw/btm2Dq6ur6EikJlywYECMjY0REhICd3d3LF68GBMnThQdSe+kpmdD01dPKQGkpGfDuWYVDb8SlcXzDTmjR48WHUUlV+5kYvMpWbHXhFrgCey7jEFTjw6iIpIOWrhwIVasWIGQkBB06tRJdBxSI169aIDGjh2L1atXIykpCU5OTqLj6JV42QP0WBGl8dd5FhGAqvkPYWVl9cqbtbV1kX9uZWWl92ciaoPo6Gh4eHggNjZWJ3d5X8/IwbSdiTh29f4brwmVKBVQSqS8JpRKZPv27ejduzemTp2KgIAA0XFIzVgoDVBmZiaaNm0KFxcXREREcHemGiWlPUKXZcc1/jrdTJMgfZSGBw8eFPn25MmTIv+eubl5sWXzTeWUZbRkgoKCMH78eGRmZurcGsqwGBn8w5MgVyhLtQ7YSCqBsVSCWd2c0b+1owYTkq6Kjo6Gl5cXunfvji1btkAq5Yo7fcNCaaDCw8PRvXt3hIWFoV+/fqLj6I3sXDmazdyn0WlvCYBzMzvDwqz4FSu5ubnFls3nbxkZGRoto4XfDOkGlaFDh+LMmTOIi4sTHaVUlkdeUcvNThM7NcRXXg3UkIj0xbVr1+Dh4YGGDRvi4MGD/OVUT7FQGrBevXrh+PHjuHjxIqysrETH0Rvt50UiVYMbc2pXq4gjE7009vwlKaPFldPiyqiZmdlrp+L1qYy6urrCw8MDq1atEh2lxMJiZJiyQ32H5gf2dEE/jlQSgIyMDHh4eECpVCIqKgo2NjaiI5GGsFAasJs3b6Jp06bo168fQkJCRMfRGzPDkxB6KlUjRwcZSSX4wq02ZnZzVvtzq0NZyujzt5ycoku4mZlZqdaJiiyjOTk5qFy5MoKDgzFy5Mhyfe2yup6Rgw8XHUGuXKG25zQzluLg+PZcU2ngcnNz0bFjR5w/fx7R0dGoX7++6EikQdzlbcBq1aqFn376CX5+fvjiiy/Qtm1b0ZH0wiA3R6w/maKR585XKPG5u/aO/JiZmcHe3h729val/ru5ubl4+PBhsVPxhd9SUlIQHx9fpjJa0mJaljJ65swZ5Ofn69SRQZq8JjR0GK9jNFRKpRJDhw7F33//jUOHDrFMGgAWSgPn6+uL0NBQjBw5EgkJCTq3iUAb2VVQwjrvLtKNrCExUt+3mJFUAs+61VDfVj9vlDAzM4OdnR3s7OxK/Xefl9GSrBFNTU1FQkKCymW0qHJ66NAhmJiYoFmzZqr+5ygXz68JVbfC14Tq69crvd6MGTOwZcsW/Prrr/D09BQdh8oBp7wJiYmJePvtt/H9999jxowZouPotMjISAwZMgQP8qSoPngp5Er17aDnNKJm5OXllXkDk7rK6Msjo+V18oIhL88gzVm7di2GDRuGwMBATJo0SXQcKicslAQAmDZtGhYsWICzZ8+iUaNGouPonJycHEydOhVLly5F+/btsW7dOpy6b8SNDnru5TI6YMAA1KtXDz169HhjOS2ujJqampZqnagqZVTXN5CR9jl48CA+/vhjDB06FCtXruSxdAaEhZIA/Hu7h4uLC9566y1ERkbyh0ApREdHw8fHBzKZDD///DO+/vrrgjPW1HUUy7edGsHPi2uQtFlOTg4sLS2xcuVKjBgx4o2PL8nIaHFv2dnZRT7n8zJakrWi5pZVMXJ/prr/M7ygJEdckf44d+4c3nvvPXh6emL37t0wNub/74aEhZIKHDx4EB07dsSaNWswdOhQ0XG0Xm5uLmbNmoXAwEC0atUKGzZsQOPGjV95nKqHRc/u5syRSR0QFRWF9957D3FxcXj77bc1+lp5eXkl3sBUXBk1sa2DmkOXaTQnAER83YbXhBqAtLQ0uLu7w9raGseOHYOlJdfOGhoWSnqBt7c3/vzzT1y8eBG2trai42ithIQEeHt74+LFi5g5cyYmTZr02t/GS3Od3fOP8zo73bJs2TJMnDgRmZmZMDU1FR2nWM/L6MnLtzA24obGX2/nKE+0dOQ5t/osKysL7du3x+3bt3Hq1Cm89dZboiORALz7iF6wYMECSKVSfPPNN6KjaCW5XI45c+agdevWkEgkiImJwbRp0944teNgXRGhw9xwYFw7fOFWG7WrVcTLiwok+HfN2RdutXFwfDuEDnNjmdQhcXFxcHV11eoyCfw7LW5ra4v6dZ3K5/WM+c+MPsvPz8eAAQNw+fJlREREsEwaMC5woBdUr14d8+fPx5AhQ+Dt7Y1OnTqJjqQ1Ll68CG9vb8TFxWHq1KmYMWNGqctDAztLzOzmjJlwRnauHCnp2ciTK2BqLIVTNQuuNdNhsbGxOnWWq1M1C0gAjV8T6lTNQoOvQCIplUqMHTsW//d//4fdu3ejRYsWoiORQPzVkV7h4+MDLy8v+Pr6FrsT1ZAoFAosWrQILVu2xOPHjxEVFYU5c+aoPBJlYWYM55pV0NLRCs41q7BM6rDs7GxcuHAB77zzjugoJWZhZgxHDY+AO1aryK9rPbZ48WIEBQUhODgYH3/8seg4JBgLJb1CIpFg5cqVSEtLw+zZs0XHEeqff/6Bl5cXvvnmG/j6+iI+Ph5ubrz9g16UkJAAhUKhU4USALwa2cJIqpkTHSRKBVxtjDTy3CTezp07MWHCBEyaNElnrhklzWKhpCI1bNgQ06dPx/z583H27FnRccqdUqnEqlWr4OrqCplMhsjISCxatKjc74Ym3RAXFwczMzM4O+vWId6D3Bw1cqg5ACglUqycOAheXl7Ytm0bnj17ppHXofJ36tQpDBo0CL1798ZPP/0kOg5pCRZKKtakSZPQqFEjjBgxAvn5+aLjlJsbN27g448/hq+vLwYOHIizZ8/i/fffFx2LtJiubMh5WQM7S7Stb6P2UUojqQTv1bVG6PJ5kMvl6NOnD5ycnDBr1izcunVLra9F5Ss5ORmffvopWrZsiQ0bNhScuUvErwQqlqmpKVatWoW///4bK1asEB1H45RKJUJDQ9GsWTMkJiZiz549CAkJ4Xlq9EaxsbFo1aqV6BhlEtDDBcZqLpTGUgl+7tUc/fv3x7Fjx5CQkICuXbti7ty5cHR0RL9+/XD06FHw1Drd8uDBA3zyySeoXLkydu3axRkbegELJb1WmzZt8OWXX2LatGm4efOm6Dgac/fuXfTq1Qve3t7o2rUrzp07x0XmVCJZWVm4ePGizq2ffM7BuiJmqfm+7dndnF848qp58+ZYtWoVbt68ifnz5yMhIQHt27dH8+bNsXLlSmRlZan19Un9cnNz0bNnT9y9exd79uyBjY2N6EikZVgo6Y1+/vlnWFhY4OuvvxYdRSN27NgBZ2dnHDt2DNu2bcOmTZtgZcWDmKlkdHVDTmH9WztiYqeGanmubzs1KvZmp6pVq2Ls2LG4cOECDhw4gHr16sHPzw+1atXCmDFjcPHiRbVkIPVSKpUYPnw4oqKisGvXLjRsqJ6vFdIvLJT0RlWrVsWSJUuwc+dO/PHHH6LjqM2DBw/w+eefo1evXmjTpg2SkpLQq1cv0bFIx+jqhpyXfeXVAD/3dIGZsbTUayqNpBKYGUsR2NOlRHfOS6VSfPjhh9i5cyeSk5Px1VdfISwsDE2aNCn4c7lcXtZPhdRs5syZ2LRpEzZs2IA2bdqIjkNailcvUokolUp8+umnSEhIwPnz51G5cmXRkVSyd+9eDBs2DNnZ2Vi+fDkGDRoEiUQzx6eQfvP29salS5dw6tQp0VHUQtQ1obm5udi2bRuCgoJw8uRJODg44Msvv8Tw4cNhZ2dX5ucl1WzYsAGDBw9GQEAApk6dKjoOaTEWSiqx1NRUNG3aFMOGDcPSpUtFxymTzMxMTJw4ESEhIejUqRPWrFnDq8JIJU2bNoWXlxeCgoJER1GrK3cysfmUDJGX70KWnvPCjToS/HtouVdDW3zu7oj6turduHb69GkEBwdjy5YtBbvE/fz84OHhwV/8ytFff/2Fjz76CIMHD0ZISAj/29NrsVBSqSxcuBATJ07EyZMnde6A7yNHjmDw4MG4d+8eFixYgJEjR/IHJKkkKysLlStXxurVqzF06FDRcTRG1DWhDx48wLp16xAcHIxr166hRYsW8PPzw8CBA1GxIu+516Tz58/D09MTbm5u+PPPP2FiYiI6Emk5FkoqFblcDjc3N8jlcsTGxurED5knT55g2rRpWLx4Mdq2bYv169ejbt26omORHjh+/Djatm2LhIQENG/eXHQcvaVQKLB//34EBQUhIiICVapUweDBgzF69Gg0aNBAdDy9c/v2bbi7u6Ny5co4fvy4zi9xovLBTTlUKsbGxggJCcG5c+ewaNEi0XHe6O+//0bLli2xYsUKLFy4EIcPH2aZJLWJjY2Fubk5mjZtKjqKXpNKpfjoo4+we/duXLt2DSNHjkRoaCgaNmyIzp07Izw83KAuX9Ck7OxsfPrpp8jLy0NERATLJJUYCyWV2jvvvIOxY8di5syZ+Oeff0THKVJeXh6mT58ODw8PWFpaIj4+HuPHj+etDqRWcXFxaN68uU6M1OuLOnXqIDAwEDdu3MCGDRvw4MEDdO/eHfXq1cPPP/+Me/fuiY6os/Lz8zFw4EBcuHABERERcHBwEB2JdAinvKlMsrKy4OzsjMaNG2Pv3r1atRbxzJkz8PHxQVJSEvz9/TFlyhQYG2t+vRcZniZNmuCDDz7A8uXLRUcxaDExMQgODsbWrVsBAH379oWfnx/effddrfrZpO3GjRuHZcuWYffu3fjkk09ExyEdw+EaKpNKlSohODgY+/fvL/ghLppcLkdAQABat24NhUKBmJgYTJ8+nWWSNCIzMxOXLl3S6QPN9UXr1q2xbt063Lx5Ez/88AOOHz8Od3f3gj9/8uSJ6Ihab8mSJViyZAmWLVvGMkllwhFKUknfvn1x+PBhXLx4EdbW1sJyXLp0CT4+PoiJicHkyZPh7+8PMzMzYXlI/x07dgzt2rXDmTNn4OrqKjoOFZKfn4+9e/ciKCgIe/fuhZWVFYYOHYpRo0ZxDXURdu3ahR49emDChAmYN2+e6DikozhCSSpZsmQJ8vLyMGnSJCGvr1AosGTJErRo0QIZGRk4fvw4AgICWCZJ47ghR3sZGRmhS5cu2LNnD65cuYIhQ4ZgzZo1qF+/fsGfKxQK0TG1QkxMDAYMGICePXsiMDBQdBzSYSyUpJIaNWrg559/xpo1a3DkyJFyfe3k5GR06NAB48aNw8iRI5GQkAAPD49yzUCGKy4uDi1atOCSCi1Xr149zJ8/Hzdu3MDq1atx+/ZtdOnSBQ0aNMD8+fORkZEhOqIwKSkp+PTTT9G8eXOEhoZy0yKphFPepDKFQoG2bdsiPT0dZ86c0fjooFKpxOrVq/HNN9+gWrVqWLduHby8vDT6mkQva9y4MTp27Ihly5aJjkKloFQqcerUKQQFBeG3336DVCrFgAED4OfnZ1DrYR8+fAhPT0/k5ubi5MmTsLW1FR2JdBx/HSGVSaVShISE4J9//sFPP/1U5GOyc+VISnuEeNkDJKU9QnauvEyvlZaWhi5dumDkyJHo168fzp49yzJJ5S4zMxOXL182qAKiLyQSCdzd3REaGorr169jxowZ+Ouvv9CqVSu4ublh48aNePr0qeiYGpWXl4eePXvi9u3b2LNnD8skqQVHKEltpk+fjrlz5+LMmTNo0qTJ/+4CvnQXsowi7gK2rgivRrYY5OaIBnavvwtYqVRi69at+Oqrr2Bubo5ffvkFXbp00ejnQ1Sco0ePon379jh79ixcXFxExyEV5efnIyIiAkFBQdi/fz9sbGwwbNgw+Pr6wsnJSXQ8tVIqlRgyZAi2bt2KAwcOoF27dqIjkZ5goSS1efLkCVxdXVHdqTHq9v8Ox6+mw0gqQb6i+C+x5x9vW98GAT1c4GD96v289+7dw6hRo7B9+3YMGDAAy5cvF7qjnGjhwoWYPn06Hj9+zDWUeuby5ctYsWIF1q1bh8ePH6Nr167w8/NDx44d9WKN4ezZs+Hv74/Nmzdj4MCBouOQHmGhJLWauXE/1p7NgpGJKZQo+YHCRlIJjKUSzOrmjP6tHQv+/I8//sDIkSOhUCiwYsUK9OnTRxOxiUpl0KBBSE5ORlRUlOgopCHZ2dnYsmULgoKCcObMGdSvXx+jR4/G4MGDYWVlJTpemWzcuBE+Pj6YM2cOvvvuO9FxSM/o/q9bpDWWR17B+gvPIDUuXZkEgHyFErlyBabsSMTyyCt4+PAhvL290aNHD3h4eCApKYllkrRGbGwsWrVqJToGaZCFhQVGjBiB+Ph4HD9+HK1bt8bkyZNRq1YtjBgxAgkJCaIjlsrhw4cxfPhwDB06FNOmTRMdh/QQRyhJLcJiZJiyI1Ftz5d/ciMex+/F0qVL4e3tzevTSGs8fvwYVapUwfr16+Hj4yM6DpWj27dvY/Xq1Vi1ahVu3LgBT09P+Pn5oVevXlp99u2FCxfg6emJVq1aYc+ePbx7njSChZJUdj0jBx8uOoJcuXoOClYqlZAq8xHm3QxuzvXU8pxE6nLkyBG8//77SExMRLNmzUTHIQHkcjnCw8MRFBSEQ4cOwdbWFsOHD4evry8cHBw0/vrZuXKkpGcjT66AqbEUTtUsYGFW9FreO3fuwN3dHRYWFjhx4gSqVKmi8XxkmFgoSWVfrDmFqH/SX7v5prSMpBJ41q2G0GFuantOInVYsGABZsyYgUePHnFDDuHChQsIDg7Ghg0bkJ2djW7duuGrr75Chw4d1DqzUpZTM3JycvD+++/j+vXrOHXqFBwdHYt8biJ1YKEklVy5k4mOi49q7PkPjm+H+ravP1KIqDwNHDgQqampOHHihOgopEUyMzOxadMmBAUFISkpCY0aNcLo0aPh4+Oj0qjg9YwcTNuZiGNX75fq1IwfujXFN1/6YN++fTh69CjPTCWN46YcUsnmUzIYSTWzvtFIKsGmaJlGnpuorLghh4piaWmJUaNGITExEYcPH4arqysmTJiAWrVqwdfXF4mJpV9jHhYjw4eLjiDqn3QAeOMs0POPR/2Tjg4LInEwOQdhYWEsk1QuWChJJZGX7qp1qruwfIUSkZfvauS5icri0aNHuHLlCv+BpmJJJBK0b98ev/32G1JTU/Htt98iPDwcrq6uaNeuHX799Vfk5eW98XmWR17BlB2JyJUrSv0zNl+hRD6ksP7oa6RWalzWT4WoVFgoqcyycuWQZeRo9DVk6TllvqaRSN3i4+MBgIWSSqRmzZrw9/dHampqwb3h/fv3R+3ateHv74+bN28W+ffCYmSYv/+ySq/9fP3m/P2X8WsMZ3pI81goqcxS07Oh6QW4SgAp6dkafhWikomNjUXFihXRuDFHfajkTExM0KdPHxw+fBiJiYno0aMHFixYgNq1axf8+fPtDNczcuAfnqTW158RnoTrGv7ln4iFksosT03HBGnL6xC9SVxcHFq2bAkjIyPRUUhHNWvWDMHBwUhLS8PixYtx7tw5eHl5wcXFBcHBwZi0LR5yNS8jkiuUmLZTfecEExWFu7ypzJLSHqHLsuMaf536V39HE3tL1KlTp+DNyckJVatW1fhrExXWsGFDfPLJJ1i8eLHoKKQnlEolIiMjERQUhIjjp2E/dLnGXounZpAm8RA1KjOnahaQAJqd9lYqYZr3CJGRsVi7di1ycv43bVO1atUXCmbh/+3k5AQLCwtNJiMDww05pAkSiQQdOnRAhw4dMHHLKWxPvFfqq2tL4vmpGTO7Oav9uYkAFkpSgYWZMRytKyJVg2tzattYYM+unQD+/U3+/v37SE5OLnhLSUlBcnIydu/ejdTU1Bd2T9ra2r5SNp+/X7t2bZiammosN+mf06dPA+CGHNKcmJs5GimTwP9OzZgJFkrSDBZKUolXI1uEnkrVyNFBRlIJvBraFrwvkUhQvXp1VK9eHe++++4rj1coFLh169YrZTM5ORnR0dG4fv06FApFwXPVqlWryLJZp04dvPXWW1wnRy+IjY2FhYUFGjVqJDoK6aHyPDWjuGsaiVTBrypSySA3R6w/maKR585XKPG5e8mvCpNKpahVqxZq1aqFNm3avPLxZ8+e4caNG6+UzWvXruGvv/5CWlpawWONjY3h4OBQZNmsU6cO7OzsIJVyT5sh4YYc0qTyPDXDuSbv8yb1Y6EklTSws0Tb+jYau8tbnQvITUxMCgphUZ4+fYrU1NQXymZycjLOnj2LXbt24f79+wWPNTc3R+3atYtdw1mtWjW13uNL4sXFxaFr166iY5AeyczMxK1bt3Dr1i2cunoHgObXffPUDNIUFkpSWUAPF3y46IhaC6WxVIKAHi5qe76SMDc3R6NGjYqd0szMzERKSsoLhTMlJQVRUVHYvHkzHj9+XPDYSpUqFVk2n79fuXLl8vq0SA0ePnyIq1evcv0kvZFCoUB6enpBUXz+dvv27Vfez87+3xm7JrZ1UHPoMo3nMzXmzAppBo8NIrUIi5Fhyg71nXMW2NMF/VqXfLpbNKVSiQcPHrwyuvn8/ZSUFDx58qTg8dbW1q/doV6hQgWBnw297NChQ/jggw9w/vx5NGnSRHQcEiAvLw+3b99+pRi+XBbv3LkDufzF272srKxQo0aNF97s7e1feL+ydXV4Ljyp0WlvCYBzMztzDSVpBL+qSC36t3bE/axcla8LA4BvOzXSqTIJ/LvJx9raGtbW1nj77bdf+bhSqcTdu3eLLJs7d+6ETCbDs2fPCh5vb29fZNmsU6cOHB0dYWJiUp6fnkHKzpUjJT0beXIF9kafQyWramjYsKHoWKRmhaedX1cW09PTX/h7RkZGsLOzKyiGLVq0wMcff/xKWbS3t4eZmVmJsmj61AzHahVZJkljOEJJahUWI4N/eBLkCmWppsCNpBIYSyWY3c1Z58qkOuTn5yMtLa3IHerJycm4ceNGwdVsUqkUb731VpFls06dOqhZsyY3jpTRlTuZ2HxKhshLdyHLyHlxtEipRO1qFvBqZItBbo5oYMcDorVVUdPORU0537p164VpZwCoUKFCsaOIhd+3sbFR+/fZzPAkjZ6a8YVbbZ5DSRrDQklqdz0jB9N2JuLY1fswkkpe+8Px+cfb1rdBQA8XOFhXLMekuiMvLw/Xr18vsmympKTg9u3bBY81MTGBo6NjsTvUbW1tuWHoJfya1Q15eXm4c+fOG9cnlmTaubiyWLlyZWHfH1fuZKLj4qMae37elEOaxEJJGlMw2nP5LmTpL472SPDv9ItXQ1t87u7IH3IqevLkySsbhgqXz4yMjILHVqhQodjRzTp16qBq1aoGVThVHVWf1c0Z/Q1wVF2dMjMz37g2sahpZ6lUCjs7u9cWxRo1asDOzg7m5uaCPrvS+WLNKY2dmhE6zE1tz0n0MhZKKheF16OZGkvhVM2Ca3nK0ePHj18Z3Sz8v7OysgoeW7ly5dfuUK9UqZLAz0S9lkdeUcu634mdGuIrrwZqSKQ/Ck87v6ksFjft/LopZ01NO4t2PSMHHy46glw1Hu9jZizFwfHtOZpOGsVCSWTglEol0tPTX7tDPTc3t+DxNjY2r73SUldGggz9ZIKyennaubiyePv27WKnnYsaRSz8ZyKnnbUBvzZJF7FQEtFrKRQK3Llzp8iymZycDJlMhvz8/ILH16xZs9grLR0cHGBsLH5kmqNArypq2rmo9wsf8A+8Ou1cXFm0t7fXmV82tIG6Rs+/7dQIfl711ZCI6PVYKIlIJXK5HDdv3iyybKakpODmzZsFO9SNjIzg4OBQ7BrOGjVqlMuVloayTu35tHNJ1ie+PO1sbm7+xrMT9XXaWVvw1AzSJSyURKRRubm5kMlkxe5Qv3v3bsFjTU1NX7jS8uXCaWNjo/JUqD7spC087fy6sliaaedXDto28GlnbcETCEhXsFASkVDZ2dkvrNd8eaTz4cOHBY+1sLAodnTTyckJVatWfePrafNZf1lZWa8dRSzJtPPr1idy2ll38dQM0nYslESk1R4+fPjaHeo5Of+7WaRq1aqvvdLSwsIC7edFavQ2ktrVKuLIRK+C9xUKBTIyMkp0t3Ph3fbAq9POxZXF6tWrc9rZgPDUDNJGLJREpLOUSiXu3btXbNlMTU1FXl5eweNtazqiwhdBgCancpVKNLu4DnfTrhccsl34Wk3g3+JbkvWJnHYmIl3BQklEekuhUODWrVsFBTP22m3sym2q8dete/lX1LUyLbIsctqZiPQRCyURGYx42QP0WBGl8dfZOcoTLR2tNP46RETaQvPncxARaQlT4/L5kVder0NEpC34U4+IDIZTNQtoekWi5L/XISIyJCyURGQwLMyM4ajhs/kcq1XkjlsiMjgslERkULwa2cJIqplxSiOpBF4NbTXy3ERE2oyFkogMyiA3R40cag4A+QolPnfnVXdEZHhYKInIoDSws0Tb+jZqH6U0kkrQtr4NbykhIoPEQklEBieghwuM1VwojaUSBPRwUetzEhHpChZKIjI4DtYVMauM920XZ3Y3ZzhoeMMPEZG2YqEkIoPUv7UjJnZqqJbn+rZTI/RrzbWTRGS4eFMOERm0sBgZ/MOTIFcoS7VZx0gqgbFUgtndnFkmicjgsVASkcG7npGDaTsTcezqfRhJJa8tls8/3ra+DQJ6uHCam4gILJRERAWu3MnE5lMyRF6+C1l6Dgr/cJTg30PLvRra4nN3R+7mJiIqhIWSiKgI2blypKRnI0+ugKmxFE7VLHgDDhFRMVgoiYiIiEgl3OVNRERERCphoSQiIiIilbBQEhEREZFKWCiJiIiISCUslERERESkEhZKIiIiIlIJCyURERERqYSFkoiIiIhUwkJJRERERCphoSQiIiIilbBQEhEREZFKWCiJiIiISCUslERERESkEhZKIiIiIlIJCyURERERqYSFkoiIiIhUwkJJRERERCphoSQiIiIilbBQEhEREZFKWCiJiIiISCUslERERESkEhZKIiIiIlIJCyURERERqYSFkoiIiIhUwkJJRERERCphoSQiIiIilbBQEhEREZFKWCiJiIiISCUslERERESkEhZKIiIiIlIJCyURERERqYSFkoiIiIhUwkJJRERERCphoSQiIiIilbBQEhEREZFKWCiJiIiISCUslERERESkkv8HN3Gx32NaRiEAAAAASUVORK5CYII=\n", + "image/png": "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\n", "text/plain": [ "<Figure size 640x480 with 1 Axes>" ] @@ -1433,7 +1433,7 @@ }, { "cell_type": "markdown", - "id": "cc4da952", + "id": "4cb4ddfe", "metadata": {}, "source": [ "This function writes to the file `path.png` in the local directory. If Graphviz and\n", @@ -1446,13 +1446,13 @@ { "cell_type": "code", "execution_count": 39, - "id": "34997105", + "id": "4da90442", "metadata": { "execution": { - "iopub.execute_input": "2023-02-23T15:29:18.434588Z", - "iopub.status.busy": "2023-02-23T15:29:18.434226Z", - "iopub.status.idle": "2023-02-23T15:29:18.734147Z", - "shell.execute_reply": "2023-02-23T15:29:18.733295Z" + "iopub.execute_input": "2023-02-26T01:59:54.339196Z", + "iopub.status.busy": "2023-02-26T01:59:54.338506Z", + "iopub.status.idle": "2023-02-26T01:59:54.490351Z", + "shell.execute_reply": "2023-02-26T01:59:54.489775Z" } }, "outputs": [ @@ -1476,7 +1476,7 @@ }, { "cell_type": "markdown", - "id": "e4d99944", + "id": "259ad362", "metadata": {}, "source": [ "See Drawing for additional details.\n", |
