U
    9%eo6                     @   sP  d dl Z e dZe dZd dlZd dlmZmZm	Z	 d dl
mZ G dd dZe jdd	 Ze jd
edfedfedffdd Zdd Ze jde ejd dgdd ggedfe ejd dgd d ggedfgdd Zdd Ze jdedfedfedfejdfejdffdd  Ze jde d!d"gd"d!ggfe d!d"gd!d!ggfgd#d$ Zd%d& Z e jd'd(d)gd*d+ Z!e jd,ejejfe jd-d.d d/d0difd d/d1d2d3fd d/d4dd5d6fgd7d8 Z"e jd9e e fd:d; Z#e jd9e e fd<d= Z$d>d? Z%e jd,ej&ej'fd@dA Z(dS )B    Nnumpyznumpy.testing)barbell_graphcycle_graph
path_graph)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#S )$TestConvertNumpyArrayc                 C   s@   t dd| _tdtjd| _| t | _| t | _	d S )N
      create_using)
r   G1r   nxDiGraphG2create_weightedGraphG3G4)self r   `/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/networkx/tests/test_convert_numpy.pysetup_method   s    z"TestConvertNumpyArray.setup_methodc                 C   s.   t d}|| |dd | D  |S )N   c                 s   s    | ]\}}||d | fV  qdS )r   Nr   .0uvr   r   r   	<genexpr>   s     z8TestConvertNumpyArray.create_weighted.<locals>.<genexpr>)r   Zadd_nodes_fromadd_weighted_edges_fromedges)r   Ggr   r   r   r      s    
z%TestConvertNumpyArray.create_weightedc                 C   s<   t | t | kstt | t | ks8td S )N)sortednodesAssertionErrorr   )r   r   r   r   r   r   assert_equal   s    z"TestConvertNumpyArray.assert_equalc                 C   sf   |  dksttj||d}| || tj||d}| || td||}| || d S )Nr   r
   )sumr$   r   from_numpy_arrayr%   Zto_networkx_graphZempty_graph	__class__)r   r    Ar   ZGGZGWZGIr   r   r   identity_conversion   s    z)TestConvertNumpyArray.identity_conversionc                 C   s0   t dddgdddgg}ttjtj| dS )z!Conversion from non-square array.      r	   r         N)nparraypytestraisesr   NetworkXErrorr'   r   r)   r   r   r   
test_shape%   s    z TestConvertNumpyArray.test_shapec                 C   s$   t | j}| | j|t   dS )z(Conversion from graph to array to graph.N)r   to_numpy_arrayr   r*   r   r4   r   r   r   test_identity_graph_array*   s    z/TestConvertNumpyArray.test_identity_graph_arrayc                 C   s$   t | j}| | j|t   dS )z,Conversion from digraph to array to digraph.N)r   r6   r   r*   r   r4   r   r   r   test_identity_digraph_array/   s    z1TestConvertNumpyArray.test_identity_digraph_arrayc                 C   s$   t | j}| | j|t   dS )z:Conversion from weighted graph to array to weighted graph.N)r   r6   r   r*   r   r4   r   r   r   "test_identity_weighted_graph_array4   s    z8TestConvertNumpyArray.test_identity_weighted_graph_arrayc                 C   s$   t | j}| | j|t   dS )z>Conversion from weighted digraph to array to weighted digraph.N)r   r6   r   r*   r   r4   r   r   r   $test_identity_weighted_digraph_array9   s    z:TestConvertNumpyArray.test_identity_weighted_digraph_arrayc              	   C   s   t d}t d}t|}tj||d}t|}| || ||d g7 }tjtjtj||d dddg}tjtjd||j	  dd	 tj||d W 5 Q R X d
S )z6Conversion from graph to array to graph with nodelist.r   r	   nodelistr   r+   zNodes z in nodelist is not in GmatchN)
r   listr   r6   r   r%   r1   r2   r3   r#   )r   P4ZP3r<   r)   ZGAr   r   r   test_nodelist>   s    

z#TestConvertNumpyArray.test_nodelistc                 C   s   t  }|dd tdD  td}t |}tj|t j|d d tjd| t | tjd| t j|dd d S )	Nc                 s   s"   | ]}||d  dddfV  qdS )r+         ?333333?)weightotherNr   )r   nr   r   r   r   U   s     z<TestConvertNumpyArray.test_weight_keyword.<locals>.<genexpr>r	   r   rE   rC   rD   rF   )	r   r   add_edges_fromranger   r6   r/   testingr%   )r   ZWP4rA   r)   r   r   r   test_weight_keywordS   s    
z)TestConvertNumpyArray.test_weight_keywordc              	   C   s  t dgg}t|}t|d d d tks4tt dggt}t|}t|d d d tksntt dggt	}t|}t|d d d t	kstt dggt
}t|}t|d d d t
kstt dggt}t|}t|d d d tkstt dggt}tttj| t dddgdddggdddgdddggg}tjtjd|j d t|}W 5 Q R X d S )Nr+   r   rE   zInput array must be 2D, not r>   )r/   r0   r   r'   typeintr$   Zastypefloatstrboolcomplexobjectr1   r2   	TypeErrorr3   ndim)r   r)   r    r!   r   r   r   test_from_numpy_array_type\   s.    




. 
z0TestConvertNumpyArray.test_from_numpy_array_typec                 C   s   dt fdtfg}tjdgg|d}t|}t|d d d t ksHtt|d d d tksdt|d d d dks|t|d d d dkstd S )NrE   cost)      ?r,   dtyper   r,   rX   )rO   rN   r/   r0   r   r'   rM   r$   )r   dtr)   r    r   r   r   test_from_numpy_array_dtypez   s    
z1TestConvertNumpyArray.test_from_numpy_array_dtypec                 C   s*  t ddgddgg}t }dddg}|dd |D  |jdddd tj|d	tjd
}t||slttj|dtjd
}t||stdddddg}t	 }|dd |D  tj|d	tj	d
}t||stt	 }|j
t|dd d|d d d d< tj|dtj	d
}t||s&tdS )zTests that the :func:`networkx.from_numpy_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   
<listcomp>   s     zNTestConvertNumpyArray.test_from_numpy_array_parallel_edges.<locals>.<listcomp>rH   T)Zparallel_edgesr   F)r+   r+   c                 S   s   g | ]\}}||d fqS r`   r   r   r   r   r   ra      s     r   rE   N)r/   r0   r   r   r   add_edger'   r   r$   MultiDiGraphrI   set)r   r)   expectedr   actualr   r   r   $test_from_numpy_array_parallel_edges   s6    
    z:TestConvertNumpyArray.test_from_numpy_array_parallel_edgesc                 C   sP   t ddgddgg}tj|tjd}t }|jdddd t||sLtdS )zTests that a symmetric array has edges added only once to an
        undirected multigraph when using :func:`networkx.from_numpy_array`.

        r   r+   r
   rH   N)r/   r0   r   r'   
MultiGraphrb   r   r$   )r   r)   r    re   r   r   r   test_symmetric   s
    z$TestConvertNumpyArray.test_symmetricc                 C   s*   t d}t j|td}|jtks&tdS zTest that setting dtype int actually gives an integer array.

        For more information, see GitHub pull request #1363.

        r	   rY   N)r   complete_graphr6   rN   rZ   r$   r   r    r)   r   r   r   test_dtype_int_graph   s    
z*TestConvertNumpyArray.test_dtype_int_graphc                 C   s0   t t d}t j|td}|jtks,tdS rj   )r   rh   rk   r6   rN   rZ   r$   rl   r   r   r   test_dtype_int_multigraph   s    z/TestConvertNumpyArray.test_dtype_int_multigraphN)__name__
__module____qualname__r   r   r%   r*   r5   r7   r8   r9   r:   rB   rL   rV   r\   rg   ri   rm   rn   r   r   r   r   r      s"   			$
r   c                  C   s,   t  } | jdddd | jdddd | S )Nr+   r,      rH   F   )r   rh   rb   )r    r   r   r   multigraph_test_graph   s    rt   )operatorre   M   rr   rs   c                 C   s"   t j| |d}|d |kstd S )N)multigraph_weightr_   )r   r6   r$   )rt   ru   re   r)   r   r   r   test_numpy_multigraph   s    rx   c                 C   sH   | }|j dddd tj|ddgd}|jdks4t|d d	ksDtd S )
Nr   r+   r	   rH   r,   r;   )r,   r,   r_   rv   )rb   r   r6   shaper$   )rt   r    r)   r   r   r   'test_to_numpy_array_multigraph_nodelist   s
    rz   zG, expected      ?       @rY   c                 C   s.   | j dddd tj| td}t|| d S )Nr   r+   r{   rH   rY   )rb   r   r6   rR   nptassert_array_equal)r    re   r)   r   r   r   #test_to_numpy_array_complex_weights   s    r~   c                  C   s   t  } d}| jdddd t j| td}tjd|gddggtd}t|| t j| 	 td}tjd|g|dggtd}t|| d S )Nl   F}r   r+   rH   rY   )
r   r   rb   r6   rS   r/   r0   r|   r}   to_undirected)r    wr)   re   r   r   r   %test_to_numpy_array_arbitrary_weights   s    r   zfunc, expectedr=   r      gUUUUUU@r,   c                 C   s   t  }dddg}|D ]}|jdd|d qt j|| td}t|d|gddggsXtt j| | td}t|d|g|dggstdS )	z6Test various functions for reducing multiedge weights.r=   r,   g      $@r   r+   rH   )rw   rZ   N)	r   rc   rb   r6   rO   r/   Zallcloser$   r   )funcre   r    weightsr   r)   r   r   r   )test_to_numpy_array_multiweight_reduction   s    
r   r]   )r   r-   c                 C   sV   | j ddddd tdtfdtfg}tj| |dd	}tj||d
}t|| dS )zWhen `dtype` is structured (i.e. has names) and `weight` is None, use
    the named fields of the dtype to look up edge attributes.r   r+   r   g      @)rE   rW   rE   rW   NrZ   rE   rY   )	rb   r/   rZ   rN   r   r6   Zasarrayr|   r}   )r    re   rZ   r)   r   r   r   6test_to_numpy_array_structured_dtype_attrs_from_fields
  s
    
r   c                  C   sd   t d} tdtfg}t j| |d d}tjdddgdddgdddggtd}t|d | d S )Nr	   rE   r   r   r+   rY   )	r   r   r/   rZ   rO   r6   r0   r|   r}   )r    rZ   r)   re   r   r   r   8test_to_numpy_array_structured_dtype_single_attr_default  s
    
&r   )
field_nameexpected_attr_val)rE   r+   )rW   r	   c                 C   sf   t  }|jdddd t| tfg}t j||d d}tjd|g|dggtd}t	||  | d S )Nr   r+   r	   )rW   r   rY   )
r   r   rb   r/   rZ   rO   r6   r0   r|   r}   )r   r   r    rZ   r)   re   r   r   r   0test_to_numpy_array_structured_dtype_single_attr#  s    r   
graph_typeedger^   r+   rE   r-   )rE   flowg       @i)rE   rW   r   c                 C   sf   | |g}t dtfdtfdtfg}tj||d d}|jD ]$}tj|t|d}t|| | q<d S )NrE   rW   r   r   )r/   rZ   rO   r   r6   namesr|   r}   )r   r   r    rZ   r)   attrre   r   r   r   4test_to_numpy_array_structured_dtype_multiple_fields3  s    

r   r    c                 C   sn   | j dddd tdtfdtfg}tj| |d tjd}|jD ](}tj| t|tjd}t	|| | q@d S )Nr   r+   r   rH   rE   rW   rZ   rE   nonedge)
rb   r/   rZ   rO   r   r6   nanr   r|   r}   )r    rZ   r)   r   re   r   r   r   3test_to_numpy_array_structured_dtype_scalar_nonedgeF  s    
r   c                 C   s   | j dddd tdtfdtfg}tjdtjfg|d}tj| |d|d	}|jD ].}|| }tj| t||d	}t	
|| | qTdS )
z[Similar to the scalar case, except has a different non-edge value for
    each named field.r   r+   r   rH   rE   rW   rY   Nr   )rb   r/   rZ   rO   r0   infr   r6   r   r|   r}   )r    rZ   Znonedgesr)   r   r   re   r   r   r   0test_to_numpy_array_structured_dtype_nonedge_aryP  s    
r   c               	   C   sz   t d} tdtfdtfg}d}tjt|d t j| |d W 5 Q R X tjt|d t j| |dd W 5 Q R X dS )	zgUsing both a structured dtype (with named fields) and specifying a `weight`
    parameter is ambiguous.r	   rE   rW   z7Specifying `weight` not supported for structured dtypesr>   rY   r   N)	r   r   r/   rZ   rN   r1   r2   
ValueErrorr6   )r    rZ   Zexception_msgr   r   r   7test_to_numpy_array_structured_dtype_with_weight_raises^  s    
r   c              	   C   sT   t jd| d}tdtfdtfg}tjt jdd t j||d d W 5 Q R X d S )Nr	   r
   rE   rW   z#Structured arrays are not supportedr>   r   )	r   r   r/   rZ   rN   r1   r2   r3   r6   )r   r    rZ   r   r   r   0test_to_numpy_array_structured_multigraph_raisesj  s    r   ))r1   Zimportorskipr/   r|   Znetworkxr   Znetworkx.generators.classicr   r   r   Znetworkx.utilsr   r   Zfixturert   markZparametrizer&   minmaxrx   rz   r   r0   rR   r   r~   r   ZmeanZmedianr   r   r   r   r   r   r   r   rh   rc   r   r   r   r   r   <module>   sr   

 =

  
$



			
	
