
    sh                        S r SSKrSSKrSSKJr  SSKrSSKrS rS r	S r
\R                  " SS9S	 5       r\R                  " SS9S
 5       r SSKrSr SSKrSr SSKrSr SSKrSr SSKrSr SSKrSr SSKrSr / r!/ SQr"/ SQr#SS/r$S/r%S/r&S/r'S/r(\(       d  \!\"-  r!\(       d  \!\#-  r!\(       d  \!\$-  r!\(       d  \!\%-  r!\(       d  \!\&-  r!\(       d  \!\'-  r!\ (       d  \!\(-  r!gg! \ a    Sr Nf = f! \ a    Sr Nf = f! \ a    Sr Nf = f! \ a    Sr Nf = f! \ a    Sr Nf = f! \ a    Sr Nf = f! \ a    Sr  Nf = f)ax  
Testing
=======

General guidelines for writing good tests:

- doctests always assume ``import networkx as nx`` so don't add that
- prefer pytest fixtures over classes with setup methods.
- use the ``@pytest.mark.parametrize``  decorator
- use ``pytest.importorskip`` for numpy, scipy, pandas, and matplotlib b/c of PyPy.
  and add the module to the relevant entries below.

    N)entry_pointsc                 p    U R                  SSSSS9  U R                  SSS SS9  U R                  S	SSS
S9  g )N	--runslow
store_trueFzrun slow tests)actiondefaulthelp	--backendstorezGRun tests with a backend by auto-converting nx graphs to backend graphs--fallback-to-nxz[Run nx function if a backend doesn't implement a dispatchable function (use with --backend))	addoption)parsers    e/Users/tiagomarins/Projetos/claudeai/copy_bank/venv/lib/python3.13/site-packages/networkx/conftest.pypytest_addoptionr      sc    
L%>N   V	    	      c                    U R                  SS5        U R                  S5      nUc  [        R                  R	                  S5      n[        SSS9nU(       d  [        R                  " S5        Xl        U(       Gae  US   [        R                  R                  R                  S'   0 [        R                  R                  R                  S'   [        R                  R                  " SS[        R                  R                  5       0[        R                  R                  D6[        R                  l        U R                  S	5      nU(       d  [        R                  R	                  S
5      n[        U5      [        R                  l        [        R                  R                  R"                  R$                  [        R                  R                  R"                  l        g g )Nmarkerszslow: mark test as slow to runr
   NETWORKX_TEST_BACKENDnx_loopbackznetworkx.backends)namegroupac  

             WARNING: Mixed NetworkX configuration! 

        This environment has mixed configuration for networkx.
        The test object nx_loopback is not configured correctly.
        You should not be seeing this message.
        Try `pip install -e .`, or change your PYTHONPATH
        Make sure python finds the networkx repo you are testing

r   NETWORKX_FALLBACK_TO_NX )addinivalue_line	getoptionosenvirongetr   warningswarnbackendnxutilsbackendsbackend_infoConfigconfigboolfallback_to_nx_dispatchable_call_if_any_backends_installed__call__)r'   r!   loopback_epr)   s       r   pytest_configurer.   +   sQ   
I'GH{+G**..!89M9LMKS	
 N 5@4N""=18:&&}5XX__ 
)
ii  
		  ))*<=ZZ^^,EFN#'#7		 HH++KK 	''0 r   c                    U R                   (       a  U R                   nUS:w  a  S[        R                  R                  R                  l        U/[        R                  R                  l        U/[        R                  R                  l	        [        R                  R                  R                  U   R                  5       n[        US5      (       a  [        US5      " U5        U R                  S5      (       a  g [        R                  R!                  SS9nU H&  nSUR"                  ;   d  M  UR%                  U5        M(     g )NnetworkxTon_start_testsr   zneed --runslow option to run)reasonslow)r!   r"   r#   r$   r*   _is_testingr'   backend_priorityalgos
generatorsloadhasattrgetattrr   pytestmarkskipkeywords
add_marker)r'   itemsbackend_namer!   	skip_slowitems         r   pytest_collection_modifyitemsrD   N   s     ~~ ~~:%:>BHH++70<~BII&&,5ANBII&&1hh''00>CCEGw 011!1259$$  (F GIT]]"OOI& r   T)autousec                      [         R                  " S[        SS9  [         R                  " S[        SS9  [         R                  " S[        SS9  [         R                  " S[        SS9  g )Nignorez:Exited (at iteration \d+|postprocessing) with accuracies.*)categorymessagez

The `normalized`z

`compute_v_structureszKeyword argument 'link')r   filterwarningsUserWarningDeprecationWarningr   r   r   set_warningsrM   g   sd    M
 -7M -7R -7Pr   c                     [         U S'   g )Nr"   )r"   )doctest_namespaces    r   add_nxrP   y   s     dr   F).algorithms/approximation/traveling_salesman.pyz/algorithms/centrality/current_flow_closeness.py"algorithms/centrality/laplacian.py!algorithms/node_classification.pyzalgorithms/non_randomness.pyalgorithms/polynomials.pyz"algorithms/shortest_paths/dense.pyalgorithms/structuralholes.pyalgorithms/tree/mst.pyzdrawing/nx_latex.pygenerators/expanders.pylinalg/bethehessianmatrix.pylinalg/laplacianmatrix.pyzutils/misc.py)&rQ   z'algorithms/assortativity/correlation.pyz"algorithms/assortativity/mixing.pyz!algorithms/assortativity/pairs.pyzalgorithms/bipartite/matrix.pyz algorithms/bipartite/spectral.pyz%algorithms/bipartite/link_analysis.pyz1algorithms/centrality/current_flow_betweenness.pyz8algorithms/centrality/current_flow_betweenness_subset.pyz$algorithms/centrality/eigenvector.pyzalgorithms/centrality/katz.pyrR   z%algorithms/centrality/second_order.pyz%algorithms/centrality/subgraph_alg.pyz!algorithms/communicability_alg.pyz algorithms/community/divisive.pyzalgorithms/distance_measures.pyz$algorithms/link_analysis/hits_alg.pyz(algorithms/link_analysis/pagerank_alg.pyrS   zalgorithms/similarity.pyrU   rV   zalgorithms/walks.pyconvert_matrix.pyzdrawing/layout.pydrawing/nx_pylab.pyz"generators/spectral_graph_forge.pyzgenerators/geometric.pyrW   zlinalg/algebraicconnectivity.pyzlinalg/attrmatrix.pyrX   zlinalg/graphmatrix.pyrY   zlinalg/modularitymatrix.pyzlinalg/spectrum.pyzutils/rcm.pyr[   zgenerators/classic.pyrZ   zdrawing/nx_agraph.pyzdrawing/nx_pydot.pyrT   ))__doc__r   r   importlib.metadatar   r;   r0   r"   r   r.   rD   fixturerM   rP   numpynp	has_numpyImportErrorscipysp	has_scipy
matplotlibmplhas_matplotlibpandaspd
has_pandas
pygraphvizhas_pygraphvizpydot	has_pydotsympy	has_sympycollect_ignoreneeds_numpyneeds_scipyneeds_matplotlibneeds_pandasneeds_pygraphvizneeds_pydotneeds_sympyr   r   r   <module>rz      s   
  +  & 
F'2  " ! !IINJNII  'P *+BC #$*+ $%*+k!Nk!N&&Nl"N&&Nk!Nk!N y  I  I  N  J  N  I  Is~   C/ C= D $D +D' 2D5 9E /C:9C:=DDDDD$#D$'D21D25E ?E EE