a
    
d&                     @   s  d dl Zd dlZd dlmZmZ d dlmZ d dlm	Z	 d dl
mZ d dlmZ ejd e ZdZeeeejjej   d d	ZeejZejd
 dd Zdd Zejdg dejdejejejgdd Z ejdej!ej"ejejejgdd Z#ejdg ddd Z$ejdej!ejejgdd Z%dd Z&dd Z'ejdej!ej"ejejejgd d! Z(d"d# Z)ejdejejejgd$d% Z*ejdejejejgd&d' Z+d(d) Z,dS )*    N)assert_equalassert_almost_equal)data)expected_warnings)_supported_float_typestructural_similarity   g      4@   i  c                  C   sf   d} t j| | d t j}t j| | d t j}t||| ddk sNJ tt||| dd d S )N3   r
   win_size皙?   )nprandomrandastypeuint8r   r   )NXY r   y/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/skimage/metrics/tests/test_structural_similarity.py&test_structural_similarity_patch_range   s
    r   c            	      C   s   d} t j| | d t j}t j| | d t j}t||dd}t|d t||dd}|dk sjJ t||ddd	}|dk sJ t||dd
\}}t|j|j t||}t|| tt||d d S )Nd   r
      r   r   g333333?   T)r   gaussian_weights)full      ?)r   r   r   r   r   r   r   shape)	r   r   r   ZS0S1S2Zmssim0S3mssimr   r   r    test_structural_similarity_image   s    


r&   seed)r      r   r	         dtypec                 C   s   d}t j| }|||fj|ddd }|||fj|ddd }t||dd}t||ddd}|dk srJ |d	 dk sJ t |d
 dk sJ t||dddd\}}	}
|
jt|ksJ |	jt|ksJ t |	dk sJ d S )N<   Fcopyr
   
data_rangeT)r0   gradient皙?r   r   )r0   r1   r   )r   r   Zdefault_rngr   r   allr+   r   )r'   r+   r   rngr   r   fgr%   gradsr   r   r   test_structural_similarity_grad5   s    
r9   c                 C   s   d}t j||}t j||}t | jdv rVd}|d t j}|d t j}n d}|j| dd}|j| dd}t|||d}|jt jksJ |d	k sJ d S )
N   Ziub     o@r
   r    Fr-   r/   r   )	r   r   r   r+   kindr   r   r   float64)r+   r   r   r   r0   r"   r   r   r    test_structural_similarity_dtypeR   s    r>   channel_axis)r   r   r(   c                    s^  d}t j||d t j}t j||d t j}t||dd}t |dt jf d}t |dt jf d} fdd||fD \}}t|| dd	}t|| t|| d
d\}}	t	|	j
|j
 t|| d
d\}}
t	|
j
|j
 t|| d
d
d\}}
}	t	|
j
|j
 t	|	j
|j
 tt  t||dd d W d    n1 sP0    Y  d S )Nr   r
   r   r   .)r   r   r   c                 3   s   | ]}t |d  V  qdS )r@   N)r   Zmoveaxis).0Z_arrr?   r   r   	<genexpr>u       z:test_structural_similarity_multichannel.<locals>.<genexpr>)r?   r   T)r?   r   )r?   r1   )r?   r   r1      )r   r?   )r   r   r   r   r   r   ZtileZnewaxisr   r   r!   pytestraises
ValueError)r?   r   r   r   r"   XcYcr#   mr$   r7   r   rB   r   'test_structural_similarity_multichannelh   s0    

rL   c                 C   sz   d}t ddD ]f}|gd }tjj| d | }tjj| d | }t||ddd}|jtjkshJ |dk sJ qd S )	N
   r   r	   r
   r   r;   r   r0   r2   )ranger   r   r   r   r   r+   r=   )r+   r   ndimZxsizer   r   r%   r   r   r   test_structural_similarity_nD   s    
rQ   c                     s   t   d} t | tjj j   dd jt	 dd} fddt
 jd D }t|t| tt	  ddd d S )	Ng      .@r   r
   r@   rB   c                    s&   g | ]}t d |f  d |f qS ).r   )rA   crI   rJ   r   r   
<listcomp>   s   zCtest_structural_similarity_multichannel_chelsea.<locals>.<listcomp>r    )r   Zchelsear   clipr   randnr!   r   r+   r   rO   r   meanr   )sigmar%   Z	mssim_sepr   rS   r   /test_structural_similarity_multichannel_chelsea   s     rY   c                  C   sF   d} t jtjksJ tjtjks$J tt tddd}t|| dd dS )aB   Tests vs. imdiff result from the following IPOL article and code:
    https://www.ipol.im/pub/art/2011/g_lmii/.

    Notes
    -----
    To generate mssim_IPOL, we need a local copy of cam_noisy:

    >>> from skimage import io
    >>> io.imsave('/tmp/cam_noisy.png', cam_noisy)

    Then, we use the following command:
    $ ./imdiff -m mssim <path to camera.png>/camera.png /tmp/cam_noisy.png

    Values for current data.camera() calculated by Gregory Lee on Sep, 2020.
    Available at:
    https://github.com/scikit-image/scikit-image/pull/4913#issuecomment-700653165
    g  @?TF)r   Zuse_sample_covariancer   )decimalN)camr+   r   r   	cam_noisyr   r   )Z
mssim_IPOLr%   r   r   r   +test_gaussian_structural_similarity_vs_IPOL   s    r]   c                 C   sL   d}t jtjksJ tjtjks$J tt | t| dd}t|| d S )Ng;V,T?r
   r/   )r[   r+   r   r   r\   r   r   r   )r+   Zmssim_skimage_0pt17r%   r   r   r   test_mssim_vs_legacy   s    

r^   c                  C   s   t tt} tdg6 t ttjttj}|dks<J W d    n1 sP0    Y  tddg" t tttj}W d    n1 s0    Y  t tttjdd}t	| | d S )Nz%Setting data_range based on im1.dtypegGz?zInputs have mismatched dtypesr
   r/   )
r   r[   r\   r   r   r   Zuint16int32float32r   )r%   Zmssim_uint16Zmssim_mixedr   r   r    test_ssim_warns_about_data_range   s    

*0ra   c                 C   sr   t jd| d}tt||dddd tt||dddd tt t|| W d    n1 sd0    Y  d S )N)r	   r	   r+   r   r    rN   r	   )r   zerosr   r   rF   rG   rH   r+   r   r   r   r   &test_structural_similarity_small_image   s
    re   c                 C   sF   t jd| d}tt t|| W d    n1 s80    Y  d S )N)@   rf   rb   )r   rc   rF   rG   rH   r   rd   r   r   r   =test_structural_similarity_errors_on_float_without_data_range   s    rg   c                  C   sD  t jdt jd} t jdt jd}tt t| | W d    n1 sJ0    Y  tt( t| | | jd d d W d    n1 s0    Y  tt t| | dd W d    n1 s0    Y  tt t| | dd	 W d    n1 s0    Y  tt t| | d
d W d    n1 s60    Y  d S )N)	   rh   rb   )r)   r)   r   r   r   g)ZK1)ZK2g      )rX   )r   rc   r=   rF   rG   rH   r   r!   )r   r   r   r   r   test_invalid_input   s    (6,,ri   )-numpyr   rF   Znumpy.testingr   r   Zskimager   Zskimage._shared._warningsr   Zskimage._shared.utilsr   Zskimage.metricsr   r   r'   Zcamerar[   rX   rU   rV   r!   r\   r   r+   r   r&   markZparametrizefloat16r`   r=   r9   r   r_   r>   rL   rQ   rY   r]   r^   ra   re   rg   ri   r   r   r   r   <module>   sJ    	

'




