code: 
  """simple docstring"""
  import cva
  import numpy as np
  
  from digital_image_processing.filters.convolve import img_convolve
  from digital_image_processing.filters.sobel_filter import sobel_filter
  
  __magic_name__		       =				1_80
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	_UpperCAmelCase =						k_size // 2
  	_UpperCAmelCase ,      _UpperCAmelCase =						np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
  	_UpperCAmelCase =						(
  	    1
  	    / (2 * np.pi * sigma)
  	    * np.exp(-(np.square(UpperCamelCase__      ) + np.square(UpperCamelCase__      )) / (2 * np.square(UpperCamelCase__      ))      )
  	)
  	return g
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	_UpperCAmelCase =						np.zeros(UpperCamelCase__      )
  
  	for row in range(1				,     image_shape[0] - 1      ):
  		for col in range(1				,     image_shape[1] - 1      ):
  			_UpperCAmelCase =						gradient_direction[row, col]
  
  			if (
  			    0 <= direction < PI / 8
  			    or 15 * PI / 8 <= direction <= 2 * PI
  			    or 7 * PI / 8 <= direction <= 9 * PI / 8
  			):
  				_UpperCAmelCase =						sobel_grad[row, col - 1]
  				_UpperCAmelCase =						sobel_grad[row, col + 1]
  				if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
  					_UpperCAmelCase =						sobel_grad[row, col]
  
  			elif (
  			    PI / 8 <= direction < 3 * PI / 8
  			    or 9 * PI / 8 <= direction < 11 * PI / 8
  			):
  				_UpperCAmelCase =						sobel_grad[row + 1, col - 1]
  				_UpperCAmelCase =						sobel_grad[row - 1, col + 1]
  				if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
  					_UpperCAmelCase =						sobel_grad[row, col]
  
  			elif (
  			    3 * PI / 8 <= direction < 5 * PI / 8
  			    or 11 * PI / 8 <= direction < 13 * PI / 8
  			):
  				_UpperCAmelCase =						sobel_grad[row - 1, col]
  				_UpperCAmelCase =						sobel_grad[row + 1, col]
  				if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
  					_UpperCAmelCase =						sobel_grad[row, col]
  
  			elif (
  			    5 * PI / 8 <= direction < 7 * PI / 8
  			    or 13 * PI / 8 <= direction < 15 * PI / 8
  			):
  				_UpperCAmelCase =						sobel_grad[row - 1, col - 1]
  				_UpperCAmelCase =						sobel_grad[row + 1, col + 1]
  				if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
  					_UpperCAmelCase =						sobel_grad[row, col]
  
  	return destination
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	for row in range(1				,     image_shape[0] - 1      ):
  		for col in range(1				,     image_shape[1] - 1      ):
  			if destination[row, col] >= threshold_high:
  				_UpperCAmelCase =						strong
  			elif destination[row, col] <= threshold_low:
  				_UpperCAmelCase =						0
  			else:
  				_UpperCAmelCase =						weak
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	for row in range(1				,     image_shape[0]      ):
  		for col in range(1				,     image_shape[1]      ):
  			if destination[row, col] == weak:
  				if 255 in (
  				    destination[row, col + 1],
  				    destination[row, col - 1],
  				    destination[row - 1, col],
  				    destination[row + 1, col],
  				    destination[row - 1, col - 1],
  				    destination[row + 1, col - 1],
  				    destination[row - 1, col + 1],
  				    destination[row + 1, col + 1],
  				):
  					_UpperCAmelCase =						strong
  				else:
  					_UpperCAmelCase =						0
  
  
  
  
  def     __lowerCamelCase  (		UpperCamelCase__				,     UpperCamelCase__=15				,     UpperCamelCase__=30				,     UpperCamelCase__=128				,     UpperCamelCase__=255      ):
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  	_UpperCAmelCase =						img_convolve(UpperCamelCase__				,     gen_gaussian_kernel(9				,     sigma=1.4      )      )
  	# get the gradient and degree by sobel_filter
  	_UpperCAmelCase ,      _UpperCAmelCase =						sobel_filter(UpperCamelCase__      )
  	_UpperCAmelCase =						PI + np.radadeg(UpperCamelCase__      )
  
  	_UpperCAmelCase =						suppress_non_maximum(image.shape				,     UpperCamelCase__				,     UpperCamelCase__      )
  
  	detect_high_low_threshold(
  	    image.shape				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      )
  
  	track_edge(image.shape				,     UpperCamelCase__				,     UpperCamelCase__				,     UpperCamelCase__      )
  
  	return destination
  
  
  if __name__ == "__main__":
  			# read original image in gray mode
  			__magic_name__		       =				cva.imread(r'''../image_data/lena.jpg''', 0)
  			# canny edge detection
  			__magic_name__		       =				canny(lena)
  			cva.imshow('''canny''', canny_destination)
  			cva.waitKey(0)
  
  
  
  
  
style_context: 
  """simple docstring"""
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available
  
  
  __magic_name__		       =				{}
  
  try:
  			if not is_sentencepiece_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			__magic_name__		       =				['''CpmTokenizer''']
  
  try:
  			if not is_tokenizers_available():
  						raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  			pass
  else:
  			__magic_name__		       =				['''CpmTokenizerFast''']
  
  
  if TYPE_CHECKING:
  			try:
  						if not is_sentencepiece_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .tokenization_cpm import CpmTokenizer
  
  			try:
  						if not is_tokenizers_available():
  									raise OptionalDependencyNotAvailable()
  			except OptionalDependencyNotAvailable:
  						pass
  			else:
  						from .tokenization_cpm_fast import CpmTokenizerFast
  
  else:
  			import sys
  
  			__magic_name__		       =				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  