
    0-Ph                        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mZmZmZ ej                            d            ej                    ZdZ ej        ee ej        j        ej         z  z   d d          Ze                    ej                  Zd	 Zej                            d
ej        ej        ej        g          d             Z d Z!ej                            d
ej        ej        ej        g          d             Z"d Z#d Z$d Z%d Z&ej                            d
ej        ej        ej        g          d             Z'd Z(dS )    N)assert_equalassert_almost_equal)data)expected_warnings)peak_signal_noise_rationormalized_root_msemean_squared_errornormalized_mutual_information   g      4@   c                  b    d} t          t          t                    }t          || d           dS )a9  Tests vs. imdiff result from the following IPOL article and code:
    https://www.ipol.im/pub/art/2011/g_lmii/.

    Notes
    -----
    To generate p_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 psnr <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ah6@   decimalN)r   cam	cam_noisyr   )p_IPOLps     i/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/metrics/tests/test_simple_metrics.pytest_PSNR_vs_IPOLr      s3    $  FY//A61------    dtypec                    t          t          t                    }t          dz                      | d          }t          dz                      | d          }t          ||d          }|j        t
          j        k    sJ | t
          j        k    rdnd}t          |||           t          t          dz  t          j	        t          dz            d          }t          |||           t          d	g          5  t          t          dz  t          j	        t          dz                      }d d d            n# 1 swxY w Y   t          |||           t          d	g          5  t          t          dz  t          j	        t          dz                      }d d d            n# 1 swxY w Y   t          |||           d S )
Ng     o@F)copy   )
data_range   r   r   zInputs have mismatched dtype)r   r   r   astyper   npfloat64float16r   float32r   )r   p_uint8camf
camf_noisy	p_float64r   p_mixeds          r   test_PSNR_floatr(   -   sL   %c955G%KE22De#++E+>>J'jQGGGI?bj((((BJ&&aaAGG<<<< &eRZ	E 122q  G G<<<< 
:;	<	< V V)#+rz)eBS7T7TUUV V V V V V V V V V V V V V VG<<<< 
:;	<	< V V)#+rz)eBS7T7TUUV V V V V V V V V V V V V V VG<<<<<<s$   >3D==EE*3F))F-0F-c                      t          j        t                    5  t          t          t          d dd d f                    d d d            d S # 1 swxY w Y   d S )N)pytestraises
ValueErrorr   r    r   r   test_PSNR_errorsr/   I   s    	z	"	" 2 2S"aaa[1112 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2s   'AAAc                    t          j        d|           }t          j        g d|           }t          ||d          }|j        t           j        k    sJ t          |dt          j        |t           j                  z             t          t          ||d          dt          j        d          z             t          t          ||d	          d|	                                |
                                z
  z             t          t          |t          j        |          d	          d|	                                |
                                z
  z             d S )
Nr   )r   )g               @r1   r1   meannormalizationr   	euclideanr   zmin-max)r   onesasarrayr   r   r    r   r2   sqrtmaxminr   r"   )r   xynrmses       r   
test_NRMSEr>   O   sB   
A

'''u555A1F;;;E;"*$$$$BGARZ8888999$QEEEq27ST::~VVVAq	:::A15577AR<S  
 Arz!}}IFFF	QUUWWquuww    r   c                  n   t                               t          j                  } t                              t          j                  }t          t          t           t                    t          | |                     t          t          t           t                    t          | |                     d S )N)r   r   r   r"   r   r   r	   r   )r$   
cam_noisyfs     r   test_NRMSE_no_int_overflowrA   b   s    ::bj!!D!!"*--J3	**,>tZ,P,P   C++-@z-R-R    r   c                  H   t          j        d          } t          j        t                    5  t          | d d         |            d d d            n# 1 swxY w Y   t          j        t                    5  t          | | d           d d d            d S # 1 swxY w Y   d S )Nr   r*   foor3   )r   r6   r+   r,   r-   r   )r;   s    r   test_NRMSE_errorsrD   m   s   


A	z	"	" ' 'AcrcFA&&&' ' ' ' ' ' ' ' ' ' ' ' ' ' ' 
z	"	" 7 7Aq66667 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7s#   AAA7BBBc                      t          t          t          t                    d           t          t          t                    t          t          t                    k     sJ d S )N   )r   r
   r   r   r.   r   r   test_nmirG   w   sZ    5c3??CCC(Y %c3//0 0 0 0 0 0r   c                  v    t          t          d d d df         t          d dd d f                   dk    sJ d S )Ni  r   )r
   r   r.   r   r   test_nmi_different_sizesrI   ~   sC    (QQQWs4C47|DDqHHHHHHr   c                 X   t           j                                        }|                    d                              |           }|                    d                              |           }t	          ||d          }|j        t           j        k    sJ t          |dd           d S )N)d   rK   
   binsr   rF   r   )r   randomdefault_rngr   r
   r   r    r   )r   rngrandom1random2nmis        r   test_nmi_randomrU      s    
)


!
!Cjj$$++E22Gjj$$++E22G
'r
B
B
BC9
""""Q******r   c                      t           j                            d          \  } }t          t          | |d          dd           d S )N)rF   rL   rK   rK   rL   rM   r   rF   r   )r   rO   r   r
   )rR   rS   s     r   test_nmi_random_3drW      sV    y''(9::GW%gwR@@@	     r   ))numpyr   r+   numpy.testingr   r   skimager   skimage._shared._warningsr   skimage.metricsr   r   r	   r
   rO   seedcamerar   sigmacliprandnshaper   r   r   r   markparametrizer!   r"   r    r(   r/   r>   rA   rD   rG   rI   rU   rW   r.   r   r   <module>re      s%        ; ; ; ; ; ; ; ;       7 7 7 7 7 7            	q   dkmmBGC%/")/39"===q#FF	SY''	. . .. 2:rz2:"FGG= = HG=62 2 2 2:rz2:"FGG  HG$  7 7 70 0 0I I I 2:rz2:"FGG+ + HG+    r   