
    1-Ph
                         d gZ ddZdS )slice_along_axesNFc           	          |s S |Qt          t           j                            }t          |          t          |          k     rt	          d          n/t          |          t          |          k    rt	          d          t          |          t          t          |                    k    rt	          d          t           fd|D                       st	          d| d j         d          t          d          g j        z  }t          ||          D ]\  \  }}}|d	k     r| j	        |         z  }|d	k     r| j	        |         z  }||k    rt	          d
| d| d          |d	k     s| j	        |         k    rt	          d
| d| d j	                   t          ||          ||<    t          |                   }|r|j        |                                }|S )ay  Slice an image along given axes.

    Parameters
    ----------
    image : ndarray
        Input image.
    slices : list of 2-tuple (a, b) where a < b.
        For each axis in `axes`, a corresponding 2-tuple
        ``(min_val, max_val)`` to slice with (as with Python slices,
        ``max_val`` is non-inclusive).
    axes : int or tuple, optional
        Axes corresponding to the limits given in `slices`. If None,
        axes are in ascending order, up to the length of `slices`.
    copy : bool, optional
        If True, ensure that the output is not a view of `image`.

    Returns
    -------
    out : ndarray
        The region of `image` corresponding to the given slices and axes.

    Examples
    --------
    >>> from skimage import data
    >>> img = data.camera()
    >>> img.shape
    (512, 512)
    >>> cropped_img = slice_along_axes(img, [(0, 100)])
    >>> cropped_img.shape
    (100, 512)
    >>> cropped_img = slice_along_axes(img, [(0, 100), (0, 100)])
    >>> cropped_img.shape
    (100, 100)
    >>> cropped_img = slice_along_axes(img, [(0, 100), (0, 75)], axes=[1, 0])
    >>> cropped_img.shape
    (75, 100)
    Nz!More `slices` than available axesz*`axes` and `slices` must have equal lengthz`axes` must be uniquec              3   :   K   | ]}|d k    o
|j         k     V  dS )    N)ndim).0aimages     ^/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/skimage/util/_slice_along_axes.py	<genexpr>z#slice_along_axes.<locals>.<genexpr>:   s2      77QqAv(!ej.777777    zaxes z out of range; image has only z dimensionsr   zInvalid slice (z, z'): must be ordered `(min_val, max_val)`z) for image with dimensions )listranger   len
ValueErrorsetallslicezipshapetuplebasecopy)	r	   slicesaxesr   _slicesr   baximage_slices	   `        r
   r   r      s5   P  |E%*%%&&t99s6{{""@AAA # 
Tc&kk	!	!EFFF
4yyCD		NN""01117777$77777 
SDSSEJSSS
 
 	

 	d
G &$'' " "
Aq55R Aq55R Aq55Q!QQqQQQ   q55AB''S!SSqSSekSS   Aqkkg'K ) ,!&&((r   )NF)__all__r    r   r
   <module>r!      s1   
R R R R R Rr   