o
    ci                     @   s   d dl Zd dlmZmZ d dlmZmZmZ d dl	m
Z
mZ d dlmZ d dlZedZdd Zd	d
 Zdd Zdd Zdd Zejdejejfejddejdddd Zejddejddejdddd ZdS )    N)assert_array_almost_equalassert_equal)colordataimg_as_float)threshold_localgaussian)apply_parallelz
dask.arrayc                  C   s   t dddt} t| d}tt| dddddid	}t|| d
d }t| ddd}t|| ddd}t|| t| ddd}t|t	j
| ddddd}t|t jsVJ t|| d S )N            r      r   modereflect)chunksdepthextra_argumentsextra_keywordsc                 S      t | dddS )N   r   sigmar   r   arr r   p/var/www/addictedbytheproject.nl/epg/venv/lib/python3.10/site-packages/skimage/util/tests/test_apply_parallel.pywrapped_gauss      z*test_apply_parallel.<locals>.wrapped_gaussr   r   )r   r   r   T)r   compute)nparangereshapeastypefloatr   r	   r   r   da
from_array
isinstancendarray)a	expected1result1r    	expected2result2	expected3result3r   r   r   test_apply_parallel   s*   

	
r4   c               	   C   s   t dddt} tj| dd}t| d}tt| ddddd	id
d}tt|dddd	id}t	|tj
s8J t| | t	|tj
sGJ t| | d S )Nr
   r   r   r"   r   r   r   r   r   F)r   r   r   r   r#   )r   r   r   )r$   r%   r&   r'   r(   r)   r*   r   r	   r+   Arrayr   r#   )r-   dr.   r/   r1   r   r   r   test_apply_parallel_lazy/   s.   
r7   c                  C   s>   t ddddd} dd }|| }t|| }t|| d S )Ni   r         	   c                 S   s   | d S )N*   r   r   r   r   r   add_42U   s   ztest_no_chunks.<locals>.add_42)r$   onesr&   r	   r   )r-   r<   expectedresultr   r   r   test_no_chunksR   s
   
r@   c                  C   sN   dd } t dddt}t|ddd}t| |dd	dd
}t|| d S )Nc                 S   r   )Nr   wrapr   r   r   r   r   r   wrapped_   r!   z)test_apply_parallel_wrap.<locals>.wrappedr
   r   r   rA   r   r   r   r   r   r   r$   r%   r&   r'   r(   r   r	   r   rB   r-   r>   r?   r   r   r   test_apply_parallel_wrap^   s
   rF   c                  C   sT   dd } t dddt}t|ddd}t| |dd	d	d
dd}t|| d S )Nc                 S   r   )Nr   nearestr   r   r   r   r   r   rB   j   r!   z,test_apply_parallel_nearest.<locals>.wrappedr
   r   r   rG   r   r   r   )r   r   rC   rD   rE   r   r   r   test_apply_parallel_nearesti   s   rH   dtyper   )N)   rJ   r   r   )r   r9   )r9   r9   r   c                 C   sP   t  |d }tj}||}t|||| |dd}t|j|j t|| d S )Ng     o@)r   r   rI   channel_axis)	r   chelsear'   r   	rgb2ycbcrr	   r   rI   r   )r   r   rI   catfunccat_ycbcr_expected	cat_ycbcrr   r   r   test_apply_parallel_rgbv   s   rS   )N)rJ      ndim)r   r9   )r9      rU   rL   )r   r      rK   c              
   C   s   t t }tj}||dd}t|d|}|dkr*ddg}|||j |j	|  | dkr;ddg} | ||j d t
|||| |j|t|dd}t||d}t|| dS )	a
  Test channel_axis combinations.

    For depth and chunks, test in three ways:
    1.) scalar (to be applied over all axes)
    2.) tuple of length ``image.ndim - 1`` corresponding to spatial axes
    3.) tuple of length ``image.ndim`` corresponding to all axes
    rK   )rL   rU   rJ   r9   r   )r   r   rI   rL   r   N)r   r   rM   r   rN   r$   moveaxisinsertrU   shaper	   rI   dictr   )r   r   rL   rO   rP   rQ   rR   r   r   r   $test_apply_parallel_rgb_channel_axis   s*   
r^   )numpyr$   skimage._shared.testingr   r   skimager   r   r   skimage.filtersr   r   skimage.util.apply_parallelr	   pytestimportorskipr)   r4   r7   r@   rF   rH   markparametrizefloat32float64rS   r^   r   r   r   r   <module>   s(    
"#