





import json
import os
from typing import List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__ :			Tuple       	=			logging.get_logger(__name__)

UpperCamelCase__ :			str       	=			{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

UpperCamelCase__ :			Dict       	=			{
    """vocab_file""": {
        """microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json""",
    },
    """merges_file""": {"""microsoft/biogpt""": """https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt"""},
}

UpperCamelCase__ :			Dict       	=			{
    """microsoft/biogpt""": 10_24,
}




def  A_(      A ):
	UpperCAmelCase_		    =  set()
	UpperCAmelCase_		    =  word[0]
	for char in word[1:]:
		pairs.add((prev_char, char) )
		UpperCAmelCase_		    =  char
	return pairs







class 	_UpperCamelCase	(							snake_case_	):







					'''simple docstring'''

					lowerCamelCase  :  Any           =							VOCAB_FILES_NAMES
					lowerCamelCase  :  Optional[int]           =							PRETRAINED_VOCAB_FILES_MAP
					lowerCamelCase  :  Optional[Any]           =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCamelCase  :  List[Any]           =							['input_ids', 'attention_mask']





					def __init__(    self     :	int			,       __lowercase     :	List[str]			,       __lowercase     :	Any			,       __lowercase     :	List[Any]="<unk>"			,       __lowercase     :	Optional[Any]="<s>"			,       __lowercase     :	Dict="</s>"			,       __lowercase     :	str="</s>"			,       __lowercase     :	Any="<pad>"			,       **__lowercase     :	Any			,       ):






						'''simple docstring'''







						super().__init__(
						    bos_token=__lowercase			,       eos_token=__lowercase			,       sep_token=__lowercase			,       unk_token=__lowercase			,       pad_token=__lowercase			,       **__lowercase			,       )

						try:
							import sacremoses
						except ImportError:
							raise ImportError(
							    """You need to install sacremoses to use BioGptTokenizer. """
							    """See https://pypi.org/project/sacremoses/ for installation."""		)

						UpperCAmelCase_		    =  """en"""
						UpperCAmelCase_		    =  sacremoses
						# cache of sm.MosesTokenizer instance
						UpperCAmelCase_		    =  {}
						UpperCAmelCase_		    =  {}
						with open(__lowercase			,       encoding="""utf-8"""		) as vocab_handle:
							UpperCAmelCase_		    =  json.load(__lowercase		)
						UpperCAmelCase_		    =  {v: k for k, v in self.encoder.items()}
						with open(__lowercase			,       encoding="""utf-8"""		) as merges_handle:
							UpperCAmelCase_		    =  merges_handle.read().split("""\n"""		)[:-1]
						UpperCAmelCase_		    =  [tuple(merge.split()[:2]		) for merge in merges]
						UpperCAmelCase_		    =  dict(zip(__lowercase			,       range(len(__lowercase		)		)		)		)
						UpperCAmelCase_		    =  {}





					@property
					def 							SCREAMING_SNAKE_CASE				(    self     :	str		):






						'''simple docstring'''







						return len(self.encoder		)





					def 							SCREAMING_SNAKE_CASE				(    self     :	List[Any]		):






						'''simple docstring'''







						return dict(self.encoder			,       **self.added_tokens_encoder		)





					def 							SCREAMING_SNAKE_CASE				(    self     :	Dict			,       __lowercase     :	List[str]			,       __lowercase     :	List[str]		):






						'''simple docstring'''







						if lang not in self.cache_moses_tokenizer:
							UpperCAmelCase_		    =  self.sm.MosesTokenizer(lang=__lowercase		)
							UpperCAmelCase_		    =  moses_tokenizer
						return self.cache_moses_tokenizer[lang].tokenize(
						    __lowercase			,       aggressive_dash_splits=__lowercase			,       return_str=__lowercase			,       escape=__lowercase		)





					def 							SCREAMING_SNAKE_CASE				(    self     :	List[str]			,       __lowercase     :	Dict			,       __lowercase     :	List[Any]		):






						'''simple docstring'''







						if lang not in self.cache_moses_detokenizer:
							UpperCAmelCase_		    =  self.sm.MosesDetokenizer(lang=__lowercase		)
							UpperCAmelCase_		    =  moses_detokenizer
						return self.cache_moses_detokenizer[lang].detokenize(__lowercase		)





					def 							SCREAMING_SNAKE_CASE				(    self     :	str			,       __lowercase     :	int		):






						'''simple docstring'''







						UpperCAmelCase_		    =  tuple(token[:-1]		) + (token[-1] + """</w>""",)
						if token in self.cache:
							return self.cache[token]
						UpperCAmelCase_		    =  get_pairs(__lowercase		)

						if not pairs:
							return token + "</w>"

						while True:
							UpperCAmelCase_		    =  min(__lowercase			,       key=lambda __lowercase		: self.bpe_ranks.get(__lowercase			,       float("""inf"""		)		)		)
							if bigram not in self.bpe_ranks:
								break
							UpperCAmelCase_    ,						UpperCAmelCase_		    =  bigram
							UpperCAmelCase_		    =  []
							UpperCAmelCase_		    =  0
							while i < len(__lowercase		):
								try:
									UpperCAmelCase_		    =  word.index(__lowercase			,       __lowercase		)
								except ValueError:
									new_word.extend(word[i:]		)
									break
								else:
									new_word.extend(word[i:j]		)
									UpperCAmelCase_		    =  j

								if word[i] == first and i < len(__lowercase		) - 1 and word[i + 1] == second:
									new_word.append(first + second		)
									i += 2
								else:
									new_word.append(word[i]		)
									i += 1
							UpperCAmelCase_		    =  tuple(__lowercase		)
							UpperCAmelCase_		    =  new_word
							if len(__lowercase		) == 1:
								break
							else:
								UpperCAmelCase_		    =  get_pairs(__lowercase		)
						UpperCAmelCase_		    =  """ """.join(__lowercase		)
						if word == "\n  </w>":
							UpperCAmelCase_		    =  """\n</w>"""
						UpperCAmelCase_		    =  word
						return word





					def 							SCREAMING_SNAKE_CASE				(    self     :	Union[str, Any]			,       __lowercase     :	Optional[int]			,       __lowercase     :	Optional[Any]=False		):






						'''simple docstring'''







						if bypass_tokenizer:
							UpperCAmelCase_		    =  text.split()
						else:
							UpperCAmelCase_		    =  self.moses_tokenize(__lowercase			,       self.lang		)

						UpperCAmelCase_		    =  []
						for token in text:
							if token:
								split_tokens.extend(list(self.bpe(__lowercase		).split(""" """		)		)		)

						return split_tokens





					def 							SCREAMING_SNAKE_CASE				(    self     :	Union[str, Any]			,       __lowercase     :	Optional[int]		):






						'''simple docstring'''







						return self.encoder.get(__lowercase			,       self.encoder.get(self.unk_token		)		)





					def 							SCREAMING_SNAKE_CASE				(    self     :	Union[str, Any]			,       __lowercase     :	Tuple		):






						'''simple docstring'''







						return self.decoder.get(__lowercase			,       self.unk_token		)





					def 							SCREAMING_SNAKE_CASE				(    self     :	Any			,       __lowercase     :	Any		):






						'''simple docstring'''







						UpperCAmelCase_		    =  [t.replace(""" """			,       """"""		).replace("""</w>"""			,       """ """		) for t in tokens]
						UpperCAmelCase_		    =  """""".join(__lowercase		).split()
						# detokenize
						UpperCAmelCase_		    =  self.moses_detokenize(__lowercase			,       self.lang		)
						return text





					def 							SCREAMING_SNAKE_CASE				(    self     :	List[str]			,       __lowercase     :	List[Any]			,       __lowercase     :	Union[str, Any] = None		):






						'''simple docstring'''







						if token_ids_a is None:
							return [self.sep_token_id] + token_ids_a
						UpperCAmelCase_		    =  [self.sep_token_id]
						return sep + token_ids_a + sep + token_ids_a





					def 							SCREAMING_SNAKE_CASE				(    self     :	Dict			,       __lowercase     :	Optional[int]			,       __lowercase     :	Optional[int] = None			,       __lowercase     :	Any = False		):






						'''simple docstring'''







						if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=__lowercase			,       token_ids_a=__lowercase			,       already_has_special_tokens=__lowercase		)
						# no bos used in fairseq
						if token_ids_a is not None:
							return [1] + ([0] * len(__lowercase		)) + [1] + ([0] * len(__lowercase		))
						return [1] + ([0] * len(__lowercase		))





					def 							SCREAMING_SNAKE_CASE				(    self     :	Optional[int]			,       __lowercase     :	Optional[Any]			,       __lowercase     :	List[str] = None		):






						'''simple docstring'''







						UpperCAmelCase_		    =  [self.sep_token_id]

						# no bos used in fairseq
						if token_ids_a is None:
							return len(token_ids_a + sep		) * [0]
						return len(token_ids_a + sep		) * [0] + len(token_ids_a + sep		) * [1]





					def 							SCREAMING_SNAKE_CASE				(    self     :	List[Any]			,       __lowercase     :	Optional[Any]			,       __lowercase     :	Tuple = None		):






						'''simple docstring'''







						if not os.path.isdir(__lowercase		):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
							return
						UpperCAmelCase_		    =  os.path.join(
						    __lowercase			,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)
						UpperCAmelCase_		    =  os.path.join(
						    __lowercase			,       (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]		)

						with open(__lowercase			,       """w"""			,       encoding="""utf-8"""		) as f:
							f.write(json.dumps(self.encoder			,       indent=2			,       sort_keys=__lowercase			,       ensure_ascii=__lowercase		) + """\n"""		)

						UpperCAmelCase_		    =  0
						with open(__lowercase			,       """w"""			,       encoding="""utf-8"""		) as writer:
							for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,       key=lambda __lowercase		: kv[1]		):
								if index != token_index:
									logger.warning(
									    F"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
									    """ Please check that the tokenizer is not corrupted!"""		)
									UpperCAmelCase_		    =  token_index
								writer.write(""" """.join(__lowercase		) + """\n"""		)
								index += 1

						return vocab_file, merge_file





					def __getstate__(    self     :	Tuple		):






						'''simple docstring'''







						UpperCAmelCase_		    =  self.__dict__.copy()
						UpperCAmelCase_		    =  None
						return state





					def __setstate__(    self     :	Any			,       __lowercase     :	int		):






						'''simple docstring'''







						UpperCAmelCase_		    =  d

						try:
							import sacremoses
						except ImportError:
							raise ImportError(
							    """You need to install sacremoses to use XLMTokenizer. """
							    """See https://pypi.org/project/sacremoses/ for installation."""		)

						UpperCAmelCase_		    =  sacremoses






import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey







class     __lowerCamelCase     :


							"""simple docstring"""

							def __init__(  self						,       UpperCAmelCase						,       UpperCAmelCase  )     ->       Tuple:






								'''simple docstring'''






								lowercase_			 = 0
								# max greyscale value for #FFFFFF
								lowercase_			 = int(self.get_greyscale(255						,       255						,       255  )  )

								if not self.min_threshold < threshold < self.max_threshold:
									lowercase_			 = F'Factor value should be from 0 to {self.max_threshold}'
									raise ValueError(UpperCAmelCase  )

								lowercase_			 = input_img
								lowercase_			 = threshold
								lowercase_ ,	lowercase_			 = self.input_img.shape[1], self.input_img.shape[0]

								# error table size (+4 columns and +1 row) greater than input image because of
								# lack of if statements
								lowercase_			 = [
								    [0 for _ in range(self.height + 4  )] for __ in range(self.width + 1  )
								]
								lowercase_			 = np.ones((self.width, self.height, 3)						,       np.uinta  ) * 255




							@classmethod
							def 				A__      (  cls						,       UpperCAmelCase						,       UpperCAmelCase						,       UpperCAmelCase  )     ->       float:






								'''simple docstring'''






								return 0.114 * blue + 0.587 * green + 0.2126 * red




							def 				A__      (  self  )     ->       None:






								'''simple docstring'''






								for y in range(self.height  ):
									for x in range(self.width  ):
										lowercase_			 = int(self.get_greyscale(*self.input_img[y][x]  )  )
										if self.threshold > greyscale + self.error_table[y][x]:
											lowercase_			 = (0, 0, 0)
											lowercase_			 = greyscale + self.error_table[x][y]
										else:
											lowercase_			 = (255, 255, 255)
											lowercase_			 = greyscale + self.error_table[x][y] - 255
										self.error_table[y][x + 1] += int(8 / 32 * current_error  )
										self.error_table[y][x + 2] += int(4 / 32 * current_error  )
										self.error_table[y + 1][x] += int(8 / 32 * current_error  )
										self.error_table[y + 1][x + 1] += int(4 / 32 * current_error  )
										self.error_table[y + 1][x + 2] += int(2 / 32 * current_error  )
										self.error_table[y + 1][x - 1] += int(4 / 32 * current_error  )
										self.error_table[y + 1][x - 2] += int(2 / 32 * current_error  )


if __name__ == "__main__":
							# create Burke's instances with original images in greyscale
							SCREAMING_SNAKE_CASE__       			=				[
							    Burkes(imread("""image_data/lena.jpg""", 1), threshold)
							    for threshold in (1, 1_2_6, 1_3_0, 1_4_0)
							]

							for burkes in burkes_instances:
														burkes.process()

							for burkes in burkes_instances:
														imshow(
														    f"""Original image with dithering threshold: {burkes.threshold}""",
														    burkes.output_img,
														)

							waitKey(0)
							destroyAllWindows()

