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
  
  _lowerCamelCase				:	Optional[int]				    =       180
  
  
  
  
  def    __a (     UpperCAmelCase       ,			UpperCAmelCase    )      ->int:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      k_size // 2
  	A  ,    A							  =      np.mgrid[0 - center : k_size - center, 0 - center : k_size - center]
  	A							  =      (
  	    1
  	    / (2 * np.pi * sigma)
  	    * np.exp(-(np.square(UpperCAmelCase    ) + np.square(UpperCAmelCase    )) / (2 * np.square(UpperCAmelCase    ))    )
  	)
  	return g
  
  
  
  
  def    __a (     UpperCAmelCase       ,			UpperCAmelCase       ,			UpperCAmelCase    )      ->Optional[int]:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      np.zeros(UpperCAmelCase    )
  
  	for row in range(1       ,			image_shape[0] - 1    ):
  		for col in range(1       ,			image_shape[1] - 1    ):
  			A							  =      gradient_direction[row, col]
  
  			if (
  			    0 <= direction < PI / 8
  			    or 15 * PI / 8 <= direction <= 2 * PI
  			    or 7 * PI / 8 <= direction <= 9 * PI / 8
  			):
  				A							  =      sobel_grad[row, col - 1]
  				A							  =      sobel_grad[row, col + 1]
  				if sobel_grad[row, col] >= w and sobel_grad[row, col] >= e:
  					A							  =      sobel_grad[row, col]
  
  			elif (
  			    PI / 8 <= direction < 3 * PI / 8
  			    or 9 * PI / 8 <= direction < 11 * PI / 8
  			):
  				A							  =      sobel_grad[row + 1, col - 1]
  				A							  =      sobel_grad[row - 1, col + 1]
  				if sobel_grad[row, col] >= sw and sobel_grad[row, col] >= ne:
  					A							  =      sobel_grad[row, col]
  
  			elif (
  			    3 * PI / 8 <= direction < 5 * PI / 8
  			    or 11 * PI / 8 <= direction < 13 * PI / 8
  			):
  				A							  =      sobel_grad[row - 1, col]
  				A							  =      sobel_grad[row + 1, col]
  				if sobel_grad[row, col] >= n and sobel_grad[row, col] >= s:
  					A							  =      sobel_grad[row, col]
  
  			elif (
  			    5 * PI / 8 <= direction < 7 * PI / 8
  			    or 13 * PI / 8 <= direction < 15 * PI / 8
  			):
  				A							  =      sobel_grad[row - 1, col - 1]
  				A							  =      sobel_grad[row + 1, col + 1]
  				if sobel_grad[row, col] >= nw and sobel_grad[row, col] >= se:
  					A							  =      sobel_grad[row, col]
  
  	return destination
  
  
  
  
  def    __a (     UpperCAmelCase       ,			UpperCAmelCase       ,			UpperCAmelCase       ,			UpperCAmelCase       ,			UpperCAmelCase       ,			UpperCAmelCase    )      ->Tuple:
  
  
  
  	"""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:
  				A							  =      strong
  			elif destination[row, col] <= threshold_low:
  				A							  =      0
  			else:
  				A							  =      weak
  
  
  
  
  def    __a (     UpperCAmelCase       ,			UpperCAmelCase       ,			UpperCAmelCase       ,			UpperCAmelCase    )      ->str:
  
  
  
  	"""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],
  				):
  					A							  =      strong
  				else:
  					A							  =      0
  
  
  
  
  def    __a (     UpperCAmelCase       ,			UpperCAmelCase=15       ,			UpperCAmelCase=30       ,			UpperCAmelCase=128       ,			UpperCAmelCase=255    )      ->int:
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  
  
  	A							  =      img_convolve(UpperCAmelCase       ,			gen_gaussian_kernel(9       ,			sigma=1.4    )    )
  	# get the gradient and degree by sobel_filter
  	A  ,    A							  =      sobel_filter(UpperCAmelCase    )
  	A							  =      PI + np.radadeg(UpperCAmelCase    )
  
  	A							  =      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
  				_lowerCamelCase				:	List[str]				    =       cva.imread(R'../image_data/lena.jpg', 0)
  				# canny edge detection
  				_lowerCamelCase				:	Tuple				    =       canny(lena)
  				cva.imshow('canny', canny_destination)
  				cva.waitKey(0)
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  
  from typing import Dict, List, Optional, Tuple
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  _lowerCamelCase				:	int				    =       logging.get_logger(__name__)
  
  
  
  class 							__UpperCAmelCase  (       A__						):
  
  
  
  
  
  
  
  		'''simple docstring'''
  
  
  
  
  
  
  
  		__lowerCAmelCase 				=    ['''input_ids''', '''attention_mask''']
  
  
  
  
  
  
  
  		def __init__(self						:      Tuple      ,      _lowerCAmelCase						:      str="[PAD]"      ,      _lowerCAmelCase						:      Dict="[BOS]"      ,      _lowerCAmelCase						:      Any="[EOS]"      ,      _lowerCAmelCase						:      List[Any]="[MASK]"      ,      _lowerCAmelCase						:      int="[CLS]"      ,      _lowerCAmelCase						:      Optional[Any]="[SEP]"      ,      _lowerCAmelCase						:      List[str]=2048      ,      **_lowerCAmelCase						:      Dict      ,      ):
  			A							  =      AddedToken(_lowerCAmelCase      ,      lstrip=_lowerCAmelCase      ,      rstrip=_lowerCAmelCase      ) if isinstance(_lowerCAmelCase      ,      _lowerCAmelCase      ) else pad_token
  			A							  =      AddedToken(_lowerCAmelCase      ,      lstrip=_lowerCAmelCase      ,      rstrip=_lowerCAmelCase      ) if isinstance(_lowerCAmelCase      ,      _lowerCAmelCase      ) else bos_token
  			A							  =      AddedToken(_lowerCAmelCase      ,      lstrip=_lowerCAmelCase      ,      rstrip=_lowerCAmelCase      ) if isinstance(_lowerCAmelCase      ,      _lowerCAmelCase      ) else eos_token
  			A							  =      AddedToken(_lowerCAmelCase      ,      lstrip=_lowerCAmelCase      ,      rstrip=_lowerCAmelCase      ) if isinstance(_lowerCAmelCase      ,      _lowerCAmelCase      ) else mask_token
  			A							  =      AddedToken(_lowerCAmelCase      ,      lstrip=_lowerCAmelCase      ,      rstrip=_lowerCAmelCase      ) if isinstance(_lowerCAmelCase      ,      _lowerCAmelCase      ) else cls_token
  			A							  =      AddedToken(_lowerCAmelCase      ,      lstrip=_lowerCAmelCase      ,      rstrip=_lowerCAmelCase      ) if isinstance(_lowerCAmelCase      ,      _lowerCAmelCase      ) else sep_token
  
  			super().__init__(
  			    pad_token=_lowerCAmelCase      ,      bos_token=_lowerCAmelCase      ,      eos_token=_lowerCAmelCase      ,      mask_token=_lowerCAmelCase      ,      cls_token=_lowerCAmelCase      ,      sep_token=_lowerCAmelCase      ,      model_max_length=_lowerCAmelCase      ,      **_lowerCAmelCase      ,      )
  
  			A							  =      2**8  # utf is 8 bits
  
  			# define special tokens dict
  			A							  =      {
  			    self.pad_token: 0,
  			    self.bos_token: 1,
  			    self.eos_token: 2,
  			    self.mask_token: 3,
  			    self.cls_token: 4,
  			    self.sep_token: 5,
  			}
  			A							  =      len(self.special_tokens_encoder      )
  			A							  =      {v: k for k, v in self.special_tokens_encoder.items()}
  
  
  
  
  
  
  
  		def        A     (self						:      Tuple      ):
  			A							  =      self.special_tokens_encoder.copy()
  			vocab.update(self.added_tokens_encoder      )
  			for i in range(self._utf_vocab_size      ):
  				A							  =      chr(_lowerCAmelCase      )
  				A							  =      i + len(self.special_tokens_encoder      )
  			return vocab
  
  
  
  
  
  
  
  		@property
  		def        A     (self						:      Tuple      ):
  			return self._utf_vocab_size + self._num_special_tokens
  
  
  
  
  
  
  
  		def        A     (self						:      Union[str, Any]      ,      _lowerCAmelCase						:      List[int]      ,      _lowerCAmelCase						:      Optional[List[int]] = None      ,      _lowerCAmelCase						:      bool = False      ):
  			if already_has_special_tokens:
  				return super().get_special_tokens_mask(
  				    token_ids_a=_lowerCAmelCase      ,      token_ids_a=_lowerCAmelCase      ,      already_has_special_tokens=_lowerCAmelCase      )
  
  			# normal case: some special tokens
  			if token_ids_a is None:
  				return [1] + [0] * len(_lowerCAmelCase      ) + [1]
  			return [1] + ([0] * len(_lowerCAmelCase      )) + [1] + ([0] * len(_lowerCAmelCase      )) + [1]
  
  
  
  
  
  
  
  		def        A     (self						:      List[Any]      ,      _lowerCAmelCase						:      List[int]      ,      _lowerCAmelCase						:      Optional[List[int]] = None      ):
  			if token_ids_a is None:
  				return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  			else:
  				return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]
  
  
  
  
  
  
  
  		def        A     (self						:      str      ,      _lowerCAmelCase						:      str      ):
  			A							  =      [chr(_lowerCAmelCase      ) for i in text.encode("""utf-8"""      )]
  			return tokens
  
  
  
  
  
  
  
  		def        A     (self						:      int      ,      _lowerCAmelCase						:      List[str]      ):
  			if token in self.special_tokens_encoder:
  				A							  =      self.special_tokens_encoder[token]
  			elif token in self.added_tokens_encoder:
  				A							  =      self.added_tokens_encoder[token]
  			elif len(_lowerCAmelCase      ) != 1:
  				A							  =      self.unk_token_id
  			else:
  				A							  =      ord(_lowerCAmelCase      ) + self._num_special_tokens
  			return token_id
  
  
  
  
  
  
  
  		def        A     (self						:      Optional[int]      ,      _lowerCAmelCase						:      Any      ):
  			if index in self.special_tokens_decoder:
  				A							  =      self.special_tokens_decoder[index]
  			elif index in self.added_tokens_decoder:
  				A							  =      self.added_tokens_decoder[index]
  			else:
  				A							  =      chr(index - self._num_special_tokens      )
  			return token
  
  
  
  
  
  
  
  		def        A     (self						:      Dict      ,      _lowerCAmelCase						:      List[str]      ):
  			A							  =      b""""""
  			for token in tokens:
  				if token in self.special_tokens_decoder:
  					A							  =      self.special_tokens_decoder[token].encode("""utf-8"""      )
  				elif token in self.added_tokens_decoder:
  					A							  =      self.special_tokens_decoder[token].encode("""utf-8"""      )
  				elif token in self.special_tokens_encoder:
  					A							  =      token.encode("""utf-8"""      )
  				elif token in self.added_tokens_encoder:
  					A							  =      token.encode("""utf-8"""      )
  				else:
  					A							  =      bytes([ord(_lowerCAmelCase      )]      )
  				bstring += tok_string
  			A							  =      bstring.decode("""utf-8"""      ,      errors="""replace"""      )
  			return string
  
  
  
  
  
  
  
  		def        A     (self						:      Tuple      ,      _lowerCAmelCase						:      str      ,      _lowerCAmelCase						:      Optional[str] = None      ):
  			return ()
  
  