o
    :ήcS$                     @   s  d dl Zd dlZd dlmZmZ d dlmZ d dlm	Z	 d dl
mZ d dlmZ ejd e ZdZeeeejjej   d d	ZeejZejd
 dd Zdd Zejdg dejdejejejgdd Z ejdej!ej"ejejejgdd Z#ejdg ddd Z$dd Z%ejdej!ejejgdd Z&dd Z'd d! Z(d"d# Z)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 s'J tt||| dd d S )N3   r
   win_size皙?   )nprandomrandastypeuint8r   r   )NXY r   W/tmp/pip-target-vg8gfxp4/lib/python/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 s5J t||ddd	}|dk sCJ 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   S0S1S2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 s9J |d	 dk sAJ t |d
 dk sLJ t||dddd\}}	}
|
jt|ksaJ |	jt|ksjJ t |	dk ssJ d S )N<   Fcopyr
   
data_rangeT)r2   gradient皙?r   r   )r2   r3   r   )r   r   default_rngr   r   allr-   r   )r)   r-   r   rndr   r   fgr'   gradsr   r   r   test_structural_similarity_grad5   s   
r<   c                 C   s   d}t j||}t j||}t | jdv r)|d t j}|d t j}n|j| dd}|j| dd}t||}|jt jksDJ |dk sJJ d S )N   iubr
   Fr/   r   )	r   r   r   r-   kindr   r   r   float64)r-   r   r   r   r#   r   r   r    test_structural_similarity_dtypeR   s   
rA   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    d S 1 sw   Y  d S )Nr   r
   r   r   .r   r   r   c                 3   s    | ]
}t |d  V  qdS )rC   N)r   moveaxis).0_arrrB   r   r   	<genexpr>s   s    z:test_structural_similarity_multichannel.<locals>.<genexpr>)rB   r   T)rB   r   )rB   r3   )rB   r   r3      )r   rB   )r   r   r   r   r   r   tilenewaxisr   r   r!   pytestraises
ValueError)rB   r   r   r   r#   XcYcr$   mr&   r:   r   rH   r   'test_structural_similarity_multichannelf   s2   

"rS   c                  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}tdg t||ddd	}W d    n1 sQw   Y  t	|| d S )
Nr   r
   r   r   .rD   z'`multichannel` is a deprecated argumentT)multichannelr   )
r   r   r   r   r   r   rK   rL   r   r   )r   r   r   r#   rP   rQ   r$   r   r   r   2test_structural_similarity_multichannel_deprecated   s   rU   c                 C   sx   d}t ddD ]2}|gd }tjj| d | }tjj| d | }t||dd}|jtjks3J |dk s9J qd S )N
   r   r	   r
   r   r   r4   )ranger   r   r   r   r   r-   r@   )r-   r   ndimxsizer   r   r'   r   r   r   test_structural_similarity_nD   s   
rZ   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
   rC   rH   c                    s&   g | ]}t d |f  d |f qS ).r   )rF   crP   rQ   r   r   
<listcomp>   s
    zCtest_structural_similarity_multichannel_chelsea.<locals>.<listcomp>r    )r   chelsear   clipr   randnr!   r   r-   r   rW   r   meanr   )sigmar'   	mssim_sepr   r\   r   /test_structural_similarity_multichannel_chelsea   s    rd   c                  C   s&   d} 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   use_sample_covariancer   )decimalNr   cam	cam_noisyr   )
mssim_IPOLr'   r   r   r   +test_gaussian_structural_similarity_vs_IPOL   s
   rk   c                  C   s   d} t tt}t||  d S )Ng;V,T?rg   )mssim_skimage_0pt17r'   r   r   r   test_mssim_vs_legacy   s   
rm   c                  C   st   t tt} tdg t tttj}W d    n1 sw   Y  t| | t tttjdd}t| | d S )NzInputs have mismatched dtyper
   r1   )r   rh   ri   r   r   r   float32r   )r'   mssim_mixedr   r   r   test_mssim_mixed_dtype   s   

rp   c                 C   sp   t jd| d}tt||ddd tt||ddd tt t|| W d    d S 1 s1w   Y  d S )N)r	   r	   r-   r   r   r    r	   )r   zerosr   r   rM   rN   rO   )r-   r   r   r   r   &test_structural_similarity_small_image   s   "rs   c                  C   sD  t jdt jd} t jdt jd}tt t| | W d    n1 s%w   Y  tt t| | | jd d d W d    n1 sFw   Y  tt t| | dd W d    n1 sbw   Y  tt t| | dd	 W d    n1 s~w   Y  tt t| | d
d W d    d S 1 sw   Y  d S )N)	   rt   rq   )r+   r+   r   r   r   g)K1)K2g      )rb   )r   rr   doublerM   rN   rO   r   r!   )r   r   r   r   r   test_invalid_input   s"   "rx   )-numpyr   rM   numpy.testingr   r   skimager   skimage._shared._warningsr   skimage._shared.utilsr   skimage.metricsr   r   r)   camerarh   rb   r_   r`   r!   ri   r   r-   r   r(   markparametrizefloat16rn   r@   r<   r   int32rA   rS   rU   rZ   rd   rk   rm   rp   rs   rx   r   r   r   r   <module>   sD     	

'

