a
    þdí(  ã                   @   st   d dl Z e  d¡Ze  d¡Zd dlZd dlZd dlm	Z	m
Z
mZ d dlmZ G dd„ dƒZe j dd	¡d
d„ ƒZdS )é    NÚnumpyÚscipy)Úbarbell_graphÚcycle_graphÚ
path_graph)Úgraphs_equalc                   @   s¬   e Zd Zdd„ Zdd„ Zdd„ Zdd„ Zd	d
„ Zdd„ Zdd„ Z	dd„ Z
dd„ Zdd„ Zdd„ Zdd„ Zdd„ Zdd„ Zdd„ Zdd „ Zd!d"„ Zd#d$„ Zd%d&„ Zd'd(„ Zd)S )*ÚTestConvertScipyc                 C   s@   t ddƒ| _tdtjd| _|  t ¡ ¡| _|  t ¡ ¡| _	d S )Né
   é   ©Úcreate_using)
r   ÚG1r   ÚnxÚDiGraphÚG2Úcreate_weightedÚGraphÚG3ÚG4©Úself© r   új/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/networkx/tests/test_convert_scipy.pyÚsetup_method   s    zTestConvertScipy.setup_methodc                 C   s$   G dd„ dƒ}t  tjtj|¡ d S )Nc                   @   s   e Zd ZdZdS )z+TestConvertScipy.test_exceptions.<locals>.GN)Ú__name__Ú
__module__Ú__qualname__Úformatr   r   r   r   ÚG   s   r   )ÚpytestÚraisesr   ÚNetworkXErrorÚto_networkx_graph)r   r   r   r   r   Útest_exceptions   s    z TestConvertScipy.test_exceptionsc                 C   sX   t dƒ}t| ¡ ƒ}dd„ |D ƒ}dd„ |D ƒ}dd„ |D ƒ}t|||ƒ}| |¡ |S )Né   c                 S   s   g | ]\}}|‘qS r   r   ©Ú.0ÚuÚvr   r   r   Ú
<listcomp>   ó    z4TestConvertScipy.create_weighted.<locals>.<listcomp>c                 S   s   g | ]\}}|‘qS r   r   r%   r   r   r   r)      r*   c                 S   s   g | ]}|d  ‘qS )r	   r   )r&   Úsr   r   r   r)      r*   )r   ÚlistÚedgesÚzipÚadd_weighted_edges_from)r   r   ÚgÚeÚsourceÚdestÚweightÚexr   r   r   r      s    
z TestConvertScipy.create_weightedc                 C   s8  t j||d}t  ||¡sJ ‚t j||d}t  ||¡s<J ‚t  d|¡ |¡}t  ||¡s^J ‚| ¡ }t  d|¡ |¡}t  ||¡sˆJ ‚| ¡ }t  d|¡ |¡}t  ||¡s²J ‚| ¡ }	t  d|¡ |	¡}t  ||¡sÜJ ‚| 	¡ }
t  d|¡ |
¡}t  ||¡sJ ‚| 
¡ }t  d|¡ |¡}t  ||¡s4J ‚d S )Nr   r   )r   Úfrom_scipy_sparse_arrayÚis_isomorphicr"   Zempty_graphÚ	__class__ZtocsrZtocooZtocscÚtodenseÚtoarray)r   r   ÚAr   ZGGZGWZGIZACSRZACOOZACSCZADZAAr   r   r   Úidentity_conversion$   s*    z$TestConvertScipy.identity_conversionc                 C   s.   t j g d¢g d¢g¡}t tjtj|¡ dS )z(Conversion from non-square sparse array.)é   é   r
   )r$   é   é   N)ÚspÚsparseZ	lil_arrayr   r    r   r!   r6   ©r   r;   r   r   r   Ú
test_shapeB   s    zTestConvertScipy.test_shapec                 C   s$   t  | j¡}|  | j|t  ¡ ¡ dS )z0Conversion from graph to sparse matrix to graph.N)r   Úto_scipy_sparse_arrayr   r<   r   rC   r   r   r   Útest_identity_graph_matrixG   s    z+TestConvertScipy.test_identity_graph_matrixc                 C   s$   t  | j¡}|  | j|t  ¡ ¡ dS )z4Conversion from digraph to sparse matrix to digraph.N)r   rE   r   r<   r   rC   r   r   r   Útest_identity_digraph_matrixL   s    z-TestConvertScipy.test_identity_digraph_matrixc                 C   s$   t  | j¡}|  | j|t  ¡ ¡ dS )zBConversion from weighted graph to sparse matrix to weighted graph.N)r   rE   r   r<   r   rC   r   r   r   Ú#test_identity_weighted_graph_matrixQ   s    z4TestConvertScipy.test_identity_weighted_graph_matrixc                 C   s$   t  | j¡}|  | j|t  ¡ ¡ dS )zFConversion from weighted digraph to sparse matrix to weighted digraph.N)r   rE   r   r<   r   rC   r   r   r   Ú%test_identity_weighted_digraph_matrixV   s    z6TestConvertScipy.test_identity_weighted_digraph_matrixc                 C   sœ   t dƒ}t dƒ}t| ¡ ƒ}tj||d}t |¡}t ||¡sDJ ‚tjtj	tj|g d |dg }tjtj	tj||d g d¢}tjtj	tj||d dS )z>Conversion from graph to sparse matrix to graph with nodelist.r$   r
   ©Únodelistr   )éÿÿÿÿr   r=   r>   N)
r   r,   Únodesr   rE   r   r7   r   r    r!   )r   ÚP4ZP3rK   r;   ZGAZlong_nlZnon_nlr   r   r   Útest_nodelist[   s    

zTestConvertScipy.test_nodelistc                 C   sš   t  ¡ }| dd„ tdƒD ƒ¡ tdƒ}t  |¡}tj | 	¡ t j|d d 	¡ ¡ tj d| 	¡  t  |¡ 	¡ ¡ tj d| 	¡  t j|dd 	¡ ¡ d S )	Nc                 s   s"   | ]}||d  dddœfV  qdS ©r=   ç      à?ç333333Ó?)r4   ÚotherNr   ©r&   Únr   r   r   Ú	<genexpr>o   r*   z7TestConvertScipy.test_weight_keyword.<locals>.<genexpr>r
   r$   ©r4   rQ   rR   rS   ©
r   r   Úadd_edges_fromÚranger   rE   ÚnpÚtestingÚassert_equalr9   ©r   ÚWP4rN   r;   r   r   r   Útest_weight_keywordm   s    
ÿÿÿz$TestConvertScipy.test_weight_keywordc                 C   sn  t  ¡ }| dd„ tdƒD ƒ¡ tdƒ}t j|dd}tj | 	¡ t j|d d 	¡ ¡ t j|dd}tj | 	¡ t j|d d 	¡ ¡ t j|d	d}tj | 	¡ t j|d d 	¡ ¡ t j|d
d}tj | 	¡ t j|d d 	¡ ¡ t j|dd}tj | 	¡ t j|d d 	¡ ¡ t j|dd}tj | 	¡ t j|d d 	¡ ¡ t j|dd}tj | 	¡ t j|d d 	¡ ¡ d S )Nc                 s   s"   | ]}||d  dddœfV  qdS rP   r   rT   r   r   r   rV   ~   r*   z7TestConvertScipy.test_format_keyword.<locals>.<genexpr>r
   r$   Úcsr©r   rW   ÚcscZcooZbsrZlilZdiaÚdokrX   r^   r   r   r   Útest_format_keyword|   s>    ÿÿÿÿÿÿÿz$TestConvertScipy.test_format_keywordc                 C   sf   t  tj¡F t ¡ }| dd„ tdƒD ƒ¡ tdƒ}tj|dd W d   ƒ n1 sX0    Y  d S )Nc                 s   s"   | ]}||d  dddœfV  qdS rP   r   rT   r   r   r   rV   ¦   s   z=TestConvertScipy.test_format_keyword_raise.<locals>.<genexpr>r
   r$   Z	any_otherrb   )	r   r    r   r!   r   rY   rZ   r   rE   )r   r_   rN   r   r   r   Útest_format_keyword_raise£   s    
ÿz*TestConvertScipy.test_format_keyword_raisec                 C   s>   t  tj¡ t t ¡ ¡ W d   ƒ n1 s00    Y  d S )N)r   r    r   r!   rE   r   r   r   r   r   Útest_null_raise¬   s    z TestConvertScipy.test_null_raisec                 C   s<   t  ¡ }| d¡ t  |¡}tj | ¡ t dgg¡¡ d S )Nr=   r   )	r   r   Úadd_noderE   r[   r\   r]   r:   Úarray©r   r   ÚMr   r   r   Ú
test_empty°   s    

zTestConvertScipy.test_emptyc              	   C   sl   t  ¡ }| dd¡ | dd¡ | dd¡ t j|g d¢d}tj | ¡ t g d¢g d¢g d¢g¡¡ d S )	Nr=   r>   r
   )r
   r>   r=   rJ   ©r   r   r=   )r=   r   r   ©r   r=   r   )	r   r   Úadd_edgerE   r[   r\   r]   r:   ri   rj   r   r   r   Útest_ordering¶   s     ÿzTestConvertScipy.test_orderingc              	   C   s€   t  dg¡}t  |¡}tj | ¡ t dgg¡¡ | ddg¡ t j|g d¢d}tj | ¡ t g d¢g d¢g d¢g¡¡ d S )	N©r=   r=   r=   ©r>   r
   ©r
   r$   ©r>   r
   r$   rJ   rn   )r=   r   r=   )	r   r   rE   r[   r\   r]   r:   ri   rY   rj   r   r   r   Útest_selfloop_graphÀ   s    
 ÿz$TestConvertScipy.test_selfloop_graphc              	   C   s€   t  dg¡}t  |¡}tj | ¡ t dgg¡¡ | ddg¡ t j|g d¢d}tj | ¡ t g d¢g d¢g d	¢g¡¡ d S )
Nrq   r=   rr   rs   rt   rJ   rn   rm   )r   r   r   )	r   r   rE   r[   r\   r]   r:   ri   rY   rj   r   r   r   Útest_selfloop_digraphË   s    
 ÿz&TestConvertScipy.test_selfloop_digraphc                 C   s$  t j ddgddgg¡}t ¡ }g d¢}| dd„ |D ƒ¡ |jdddd tj|dtjd}t||ƒslJ ‚tj|d	tjd}t||ƒsŒJ ‚g d
¢}t 	¡ }| dd„ |D ƒ¡ tj|dtj	d}t||ƒsÐJ ‚t 	¡ }|j
t|ƒdd d|d d d d< tj|d	tj	d}t||ƒs J ‚dS )z±Tests that the :func:`networkx.from_scipy_sparse_array` function
        interprets integer weights as the number of parallel edges when
        creating a multigraph.

        r=   r>   )©r   r   ©r   r=   ©r=   r   c                 S   s   g | ]\}}||d f‘qS ©r=   r   r%   r   r   r   r)   á   r*   zPTestConvertScipy.test_from_scipy_sparse_array_parallel_edges.<locals>.<listcomp>rW   T)Zparallel_edgesr   F)rw   rx   ry   rq   rq   c                 S   s   g | ]\}}||d f‘qS rz   r   r%   r   r   r   r)   ð   r*   r   r4   N)rA   rB   Ú	csr_arrayr   r   r/   ro   r6   r   ZMultiDiGraphrY   Úset)r   r;   Úexpectedr-   Úactualr   r   r   Ú+test_from_scipy_sparse_array_parallel_edgesÖ   s6    ÿÿÿÿz<TestConvertScipy.test_from_scipy_sparse_array_parallel_edgesc                 C   sR   t j ddgddgg¡}tj|tjd}t ¡ }|jdddd t||ƒsNJ ‚dS )z¢Tests that a symmetric matrix has edges added only once to an
        undirected multigraph when using
        :func:`networkx.from_scipy_sparse_array`.

        r   r=   r   rW   N)rA   rB   r{   r   r6   Z
MultiGraphro   r   )r   r;   r   r}   r   r   r   Útest_symmetricþ   s
    zTestConvertScipy.test_symmetricN)r   r   r   r   r#   r   r<   rD   rF   rG   rH   rI   rO   r`   re   rf   rg   rl   rp   ru   rv   r   r€   r   r   r   r   r      s(   
'	
(r   Úsparse_format)ra   rc   rd   c                 C   s–   t  ¡ }| ddddifddddifddddifddddifddddifddddifg¡ tj g d¢g d¢g d¢g¡ | ¡}t|t  |¡ƒs’J ‚d	S )
z7Test all formats supported by _generate_weighted_edges.r   r=   r4   r
   r>   )r   r
   r>   )r
   r   r=   )r>   r=   r   N)	r   r   rY   rA   rB   Z	coo_arrayZasformatr   r6   )r   r}   r;   r   r   r   Ú$test_from_scipy_sparse_array_formats  s    úÿ
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
  