




'''simple docstring'''






import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


lowercase	:      Optional[Any]				=       set()
lowercase	:      Union[str, Any]				=       get_logger(__name__)




def 		a_( lowerCamelCase = None      )				->Dict:






       '''simple docstring'''




       def decorator(lowerCamelCase      ):
              global _emitted_deprecation_warnings

              if inspect.isclass(lowerCamelCase      ):
                     lowercase  :		Optional[Any]						=      deprecated_class_or_function.__init__
                     lowercase  :		List[str]						=      deprecated_class_or_function.__name__
              else:
                     lowercase  :		Optional[Any]						=      deprecated_class_or_function
                     lowercase  :		Any						=      deprecated_function.__name__
                     # Support deprecating __init__ class method: class name instead
                     lowercase  :		List[str]						=      name if name != '''__init__''' else deprecated_function.__qualname__.split('''.'''      )[-2]

              lowercase  :		Union[str, Any]						=      (
                  f"""{name} is deprecated and will be removed in the next major version of datasets.""" + f""" {help_message}"""
                  if help_message
                  else ''''''
              )

              @wraps(lowerCamelCase      )
              def wrapper(*lowerCamelCase   ,				**lowerCamelCase      ):
                     lowercase  :		Optional[int]						=      hash(lowerCamelCase      )
                     if func_hash not in _emitted_deprecation_warnings:
                            warnings.warn(lowerCamelCase   ,				category=lowerCamelCase   ,				stacklevel=2      )
                            _emitted_deprecation_warnings.add(lowerCamelCase      )
                     return deprecated_function(*lowerCamelCase   ,				**lowerCamelCase      )

              lowercase  :		List[Any]						=      '''deprecated'''

              if inspect.isclass(lowerCamelCase      ):
                     lowercase  :		Optional[int]						=      wrapper
                     return deprecated_class_or_function
              else:
                     return wrapper

       return decorator

class   SCREAMING_SNAKE_CASE_		(       enum.EnumMeta				):



 def __getattribute__(  cls   ,		A ):






        '''simple docstring'''




        lowercase  :		Optional[Any]						=      super().__getattribute__(_snake_case )
        if isinstance(_snake_case   ,		enum.Enum ) and obj._on_access:
               obj._on_access()
        return obj



 def __getitem__(  cls   ,		A ):






        '''simple docstring'''




        lowercase  :		Union[str, Any]						=      super().__getitem__(_snake_case )
        if member._on_access:
               member._on_access()
        return member





 def __call__(  cls   ,		A   ,		A=None   ,		*, A=None   ,		A=None   ,		A=None   ,		A=1 ):






        '''simple docstring'''




        lowercase  :		Tuple						=      super().__call__(_snake_case   ,		_snake_case   ,		module=_snake_case   ,		qualname=_snake_case   ,		type=_snake_case   ,		start=_snake_case )
        if isinstance(_snake_case   ,		enum.Enum ) and obj._on_access:
               obj._on_access()
        return obj






class   SCREAMING_SNAKE_CASE_		(       enum.Enum		,     metaclass=a_				):



 def __new__(  cls   ,		A ):






        '''simple docstring'''




        lowercase  :		Tuple						=      object.__new__(cls )
        lowercase  :		Any						=      value
        lowercase  :		str						=      member.deprecate
        return member



 @property
 def    SCREAMING_SNAKE_CASE(  self ):






        '''simple docstring'''




        return ""





 def    SCREAMING_SNAKE_CASE(  self ):






        '''simple docstring'''




        lowercase  :		int						=      f""" {self.help_message}""" if self.help_message else ''''''
        warnings.warn(
            f"""\'{self.__objclass__.__name__}\' is deprecated and will be removed in the next major version of datasets."""
            + help_message   ,		_snake_case   ,		stacklevel=3   ,		)











'''simple docstring'''






import numpy as np
from PIL import Image




def 		a_( lowerCamelCase      )				->np.array:






       '''simple docstring'''




       lowercase,     lowercase,     lowercase  :		Union[str, Any]						=      rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
       return 0.29_89 * r + 0.58_70 * g + 0.11_40 * b




def 		a_( lowerCamelCase      )				->np.array:






       '''simple docstring'''




       return (gray > 127) & (gray <= 255)




def 		a_( lowerCamelCase   ,				lowerCamelCase      )				->np.array:






       '''simple docstring'''




       lowercase  :		Optional[Any]						=      np.zeros_like(lowerCamelCase      )
       lowercase  :		Any						=      np.zeros(
           (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1)      )

       # Copy image to padded image
       lowercase  :		List[str]						=      image

       # Iterate over image & apply kernel
       for x in range(image.shape[1]      ):
              for y in range(image.shape[0]      ):
                     lowercase  :		Union[str, Any]						=      (
                         kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
                     ).sum()
                     lowercase  :		Any						=      int(summation == 5      )
       return output


# kernel to be applied
lowercase	:      List[Any]				=       np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])

if __name__ == "__main__":
      # read original image
      lowercase	:      Dict				=       np.array(Image.open(r'''..\image_data\lena.jpg'''))
      # Apply erosion operation to a binary image
      lowercase	:      List[str]				=       erosion(grayabinary(rgbagray(image)), structuring_element)
      # Save the output image
      lowercase	:      Optional[Any]				=       Image.fromarray(output).convert('''RGB''')
      pil_img.save('''result_erosion.png''')




