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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                 C   s:   | j ddddd | j ddd dd | j d	ddd
d d S )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)parser r   L/var/www/html/env_mimamsha/lib/python3.10/site-packages/networkx/conftest.pypytest_addoption   s   
r   c                 C   s   |  dd | d}|d u rtjd}tddd}|r)tt|tj	j
j
d< ntd |rM|gtjd	< | d
}|sCtjd}t|tj	j
j_d S d S )Nmarkerszslow: mark test as slow to runr   NETWORKX_TEST_BACKENDz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

backend_priorityr
   NETWORKX_FALLBACK_TO_NX)addinivalue_line	getoptionosenvirongetr   nextiternetworkxutilsbackendswarningswarnconfigbool_dispatchable_fallback_to_nx)r"   backendr   fallback_to_nxr   r   r   pytest_configure+   s"   

r(   c                 C   s   dt jjj_t jd  }r$t jjj|d   }t|dr$t|d| | 	dr+d S t
jjdd}|D ]}d|jv r@|| q4d S )	NTr   r   on_start_testsr   zneed --runslow option to run)reasonslow)r   r   r   r$   _is_testingr"   loadhasattrgetattrr   pytestmarkskipkeywords
add_marker)r"   itemsr   r&   	skip_slowitemr   r   r   pytest_collection_modifyitemsE   s   



r8   T)autousec                   C   s4  t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtd	d t jdtd
d t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd t jdtdd d S )Nignorez$

single_target_shortest_path_length)categorymessagez

shortest_pathz
forest_str is deprecatedz

random_treezEdmonds has been deprecatedz(MultiDiGraph_EdgeKey has been deprecatedz

The `normalized`z!The function `join` is deprecatedz)

strongly_connected_components_recursivez

all_tripletsz

random_triadminimal_d_separatord_separatedz

k_corez	

k_shellz	

k_crustz


k_coronaz

total_spanning_tree_weightz\n\nThe 'create=matrix')r    filterwarningsFutureWarningDeprecationWarningr   r   r   r   set_warningsZ   s   
rB   c                 C   s   t | d< d S )Nnx)r   )doctest_namespacer   r   r   add_nx   s   rE   F).algorithms/approximation/traveling_salesman.pyz/algorithms/centrality/current_flow_closeness.py!algorithms/node_classification.pyzalgorithms/non_randomness.pyz"algorithms/shortest_paths/dense.pyalgorithms/tree/mst.pygenerators/expanders.pylinalg/bethehessianmatrix.pylinalg/laplacianmatrix.pyzutils/misc.py"algorithms/centrality/laplacian.py)#rF   z'algorithms/assortativity/correlation.pyz"algorithms/assortativity/mixing.pyz!algorithms/assortativity/pairs.pyzalgorithms/bipartite/matrix.pyz algorithms/bipartite/spectral.pyz1algorithms/centrality/current_flow_betweenness.pyz8algorithms/centrality/current_flow_betweenness_subset.pyz$algorithms/centrality/eigenvector.pyzalgorithms/centrality/katz.pyrL   z%algorithms/centrality/second_order.pyz%algorithms/centrality/subgraph_alg.pyz!algorithms/communicability_alg.pyz algorithms/community/divisive.pyzalgorithms/distance_measures.pyz$algorithms/link_analysis/hits_alg.pyz(algorithms/link_analysis/pagerank_alg.pyrG   zalgorithms/similarity.pyrH   zalgorithms/walks.pyconvert_matrix.pyzdrawing/layout.pydrawing/nx_pylab.pyz"generators/spectral_graph_forge.pyrI   zlinalg/algebraicconnectivity.pyzlinalg/attrmatrix.pyrJ   zlinalg/graphmatrix.pyrK   zlinalg/modularitymatrix.pyzlinalg/spectrum.pyzutils/rcm.pyrN   rM   zdrawing/nx_agraph.pyzdrawing/nx_pydot.pyzalgorithms/polynomials.py)%__doc__r   sysr    importlib.metadatar   r0   r   r   r(   r8   fixturerB   rE   numpy	has_numpyImportErrorscipy	has_scipy
matplotlibhas_matplotlibpandas
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   r   <module>   s    


D
%