code: 
  
  
  
  """simple docstring"""
  from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
  from numpy import array, dot, pad, ravel, uinta, zeros
  
  
  
  
  
  def 				lowerCamelCase_		(UpperCamelCase__	:	List[str]  , UpperCamelCase__	:	Optional[Any]							):
      _UpperCAmelCase							,       _UpperCAmelCase							:						Dict       							=					image.shape
      _UpperCAmelCase							:						Optional[Any]       							=					cols - block_size[1] + 1
      _UpperCAmelCase							:						int       							=					rows - block_size[0] + 1
      _UpperCAmelCase							:						List[str]       							=					zeros((dst_height * dst_width, block_size[1] * block_size[0])							)
      _UpperCAmelCase							:						int       							=					0
      for i in range(0  , UpperCamelCase__							):
          for j in range(0  , UpperCamelCase__							):
              _UpperCAmelCase							:						Tuple       							=					ravel(image[i : i + block_size[0], j : j + block_size[1]]							)
              _UpperCAmelCase							:						int       							=					window
              row += 1
  
      return image_array
  
  
  
  
  
  def 				lowerCamelCase_		(UpperCamelCase__	:	str  , UpperCamelCase__	:	List[Any]							):
      _UpperCAmelCase							,       _UpperCAmelCase							:						Union[str, Any]       							=					image.shape[0], image.shape[1]
      _UpperCAmelCase							:						Any       							=					filter_kernel.shape[0]
      _UpperCAmelCase							:						List[Any]       							=					k_size // 2
      # Pads image with the edge values of array.
      _UpperCAmelCase							:						Tuple       							=					pad(UpperCamelCase__  , UpperCamelCase__  , mode='''edge'''							)
  
      # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
      _UpperCAmelCase							:						Union[str, Any]       							=					imacol(UpperCamelCase__  , (k_size, k_size)							)
  
      #  turn the kernel into shape(k*k, 1)
      _UpperCAmelCase							:						int       							=					ravel(UpperCamelCase__							)
      # reshape and get the dst image
      _UpperCAmelCase							:						int       							=					dot(UpperCamelCase__  , UpperCamelCase__							).reshape(UpperCamelCase__  , UpperCamelCase__							)
      return dst
  
  
  if __name__ == "__main__":
    # read original image
    _lowerCAmelCase					:Union[str, Any]  =      imread(R'../image_data/lena.jpg')
    # turn image in gray scale value
    _lowerCAmelCase					:Union[str, Any]  =      cvtColor(img, COLOR_BGR2GRAY)
    # Laplace operator
    _lowerCAmelCase					:int  =      array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
    _lowerCAmelCase					:Dict  =      img_convolve(gray, Laplace_kernel).astype(uinta)
    imshow('Laplacian', out)
    waitKey(0)
  
  
  
style_context: 
  
  
  
  """simple docstring"""
  import os
  
  from apache_beam.io.filesystems import FileSystems
  from apache_beam.pipeline import Pipeline
  
  from .logging import get_logger
  
  
  _lowerCAmelCase					:Optional[int]  =      2 << 20  # 2mb
  _lowerCAmelCase					:Union[str, Any]  =      get_logger(__name__)
  class 							_UpperCAmelCase							(				a   ):
  
  
  
  
  
       '''simple docstring'''
  
  
  
       def 				__lowerCAmelCase			(      self	)							->      Any:
           _UpperCAmelCase							:						str       							=					self._options.get_all_options().get('''runner'''	)
           return runner in [None, "DirectRunner", "PortableRunner"]
  
  
  
  
  
  def 				lowerCamelCase_		(UpperCamelCase__	:	List[str]  , UpperCamelCase__	:	str  , UpperCamelCase__	:	Dict=False							):
      _UpperCAmelCase							:						Union[str, Any]       							=					FileSystems
      if fs.exists(UpperCamelCase__							):
          if force_upload:
              logger.info(F'Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True.'							)
          else:
              logger.info(F'Remote path already exist: {remote_file_path}. Skipping it as force_upload=False.'							)
              return
      with fs.create(UpperCamelCase__							) as remote_file:
          with open(UpperCamelCase__  , '''rb'''							) as local_file:
              _UpperCAmelCase							:						Optional[Any]       							=					local_file.read(UpperCamelCase__							)
              while chunk:
                  remote_file.write(UpperCamelCase__							)
                  _UpperCAmelCase							:						List[Any]       							=					local_file.read(UpperCamelCase__							)
  
  
  
  
  
  def 				lowerCamelCase_		(UpperCamelCase__	:	int  , UpperCamelCase__	:	Dict  , UpperCamelCase__	:	str=False							):
      _UpperCAmelCase							:						int       							=					FileSystems
      if os.path.exists(UpperCamelCase__							):
          if force_download:
              logger.info(F'Local path already exist: {remote_file_path}. Overwriting it as force_upload=True.'							)
          else:
              logger.info(F'Local path already exist: {remote_file_path}. Skipping it as force_upload=False.'							)
              return
      with fs.open(UpperCamelCase__							) as remote_file:
          with open(UpperCamelCase__  , '''wb'''							) as local_file:
              _UpperCAmelCase							:						List[str]       							=					remote_file.read(UpperCamelCase__							)
              while chunk:
                  local_file.write(UpperCamelCase__							)
                  _UpperCAmelCase							:						List[Any]       							=					remote_file.read(UpperCamelCase__							)
  
  
  