o
    3ήc                     @   sH   d dl Zd dlmZ dd Zdd Zdd Zd	d
 Zdd Zdd Z	dS )    N)average_clusteringc                  C   .   t  } t| t| d dt | ksJ d S N   trialsnxpetersen_graphr   lenG r   f/tmp/pip-target-vg8gfxp4/lib/python/networkx/algorithms/approximation/tests/test_approx_clust_coeff.pytest_petersen      &r   c                  C   s0   t  } t| t| d ddt | ksJ d S )Nr      )r   seedr   r   r   r   r   test_petersen_seed   s   (r   c                  C   r   r   )r	   tetrahedral_graphr   r   r   r   r   r   test_tetrahedral   r   r   c                  C   r   r   )r	   dodecahedral_graphr   r   r   r   r   r   test_dodecahedral   r   r   c                  C   s*   t d} t| t| d ddksJ d S )N   r   r   r   )r	   empty_graphr   r   r   r   r   r   
test_empty    s   
 r   c                  C   sP   t d} t| t| d ddksJ t d} t| t| d ddks&J d S )Nr   r   r   r      )r	   complete_graphr   r   r   r   r   r   test_complete%   s   

 r   )
networkxr	   !networkx.algorithms.approximationr   r   r   r   r   r   r   r   r   r   r   <module>   s    