o
    :ήc>                     @   s   d Z ddlZddlZddlmZ ddlmZ ddlm	Z	 ej
dejejejejejgdd Zd	d
 Zej
dg ddd Zdd Zdd Zej
dg ddd Zej
dg ddd Zdd ZdS )zB
Tests for Rolling Ball Filter
(skimage.restoration.rolling_ball)
    N)data)rolling_ball)ellipsoid_kerneldtypec                 C   sV   dt jd| d }tdd}t||d}t || t |s!J |j|jks)J d S )N   d   r   r   )   5   2   kernel)nponesr   r   allclose
zeros_liker   )r   imgr   
background r   R/tmp/pip-target-vg8gfxp4/lib/python/skimage/restoration/tests/test_rolling_ball.pytest_ellipsoid_const   s
   
r   c                  C   s   dt jdtd } t j| d< t j| d< d}t |d  d |d d d t jd d f }t |d	  d |d	 d d d d t jf }t | }t j||d
 |d
 f< t j||d |d f< t|d}t| |dd}t j	| | |ddsxJ d S )N{   r   r	      r   )r   r   
   r         r   r   r   r   r   T)r   nansafe)	equal_nan)
r   r   floatnanarangenewaxisr   r   r   r   )r   kernel_shapexyexpected_imgr   r   r   r   r   test_nan_const   s0   



r)   radius)r   g      @gx&$@r   c                 C   s>   dt jdt jd }t|| d}t || t |sJ d S )N   r   r	   r*   )r   r   uint8r   r   r   )r*   r   r   r   r   r   test_const_image0   s   r.   c                  C   sn   d} t tdtd\}}t t | d |d  |d  dd }t|dd}t || t |s5J d S )Nr      r   r   r,   )r   meshgridrangesqrtclipr   r   r   )spot_radiusr&   r'   r   r   r   r   r   test_radial_gradient8   s
   (r5   c                  C   sb   t tdtd\} }|d | d  }dt | }d|d< t|dd}t || |s/J d S )Nr   r      r   )r   r   r   r,   )r   r0   r1   	ones_liker   r   )r&   r'   r   r(   r   r   r   r   test_linear_gradientB   s   r8   )r   r   g      )@r   c                 C   sp   t tdtd\}}d| d|  d }d|d< d|d< d|d	< |d }t|| d
}t || |s6J d S )Nr   r   r   r   r   #   r      )-      r,   )r   r0   r1   r   r   )r*   r&   r'   r   r(   r   r   r   r   test_preserve_peaksN   s   r=   num_threads)Nr   r   c                 C   s6   dt jdt jd }t|d| d t|dd| d d S )Nr+   r   r	   r   )r*   r>   T)r*   r   r>   )r   r   r-   r   )r>   r   r   r   r   test_threads[   s   r?   c                  C   s0   t  d dddf } tdd}t| |d d S )Nr/   r   .)   r   r   r   r   )r   cells3dr   r   )imager   r   r   r   	test_ndimd   s   
rC   )__doc__numpyr   pytestskimager   skimage.restorationr    skimage.restoration.rolling_ballr   markparametrizer-   int32float16float32float64r   r)   r.   r5   r8   r=   r?   rC   r   r   r   r   <module>   s*    




