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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase_  :	str 				=					logging.get_logger(__name__)


lowerCamelCase_  :	List[Any] 				=					{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all BART models at https://huggingface.co/models?filter=bart
lowerCamelCase_  :	List[Any] 				=					{
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
}

lowerCamelCase_  :	Optional[int] 				=					{
    """facebook/bart-base""": 10_24,
    """facebook/bart-large""": 10_24,
    """facebook/bart-large-mnli""": 10_24,
    """facebook/bart-large-cnn""": 10_24,
    """facebook/bart-large-xsum""": 10_24,
    """yjernite/bart_eli5""": 10_24,
}







@lru_cache()
def     A__   (  )					->		Dict:
				UpperCamelCase_:							Dict		=  (
				    list(range(ord("""!"""  )       ,      ord("""~"""  ) + 1  )  ) + list(range(ord("""¡"""  )       ,      ord("""¬"""  ) + 1  )  ) + list(range(ord("""®"""  )       ,      ord("""ÿ"""  ) + 1  )  )
				)
				UpperCamelCase_:							Optional[int]		=  bs[:]
				UpperCamelCase_:							List[Any]		=  0
				for b in range(2**8  ):
								if b not in bs:
												bs.append(lowerCamelCase  )
												cs.append(2**8 + n  )
												n += 1
				UpperCamelCase_:							Dict		=  [chr(lowerCamelCase  ) for n in cs]
				return dict(zip(lowerCamelCase       ,      lowerCamelCase  )  )







def     A__   (  lowerCamelCase  )					->		int:
				UpperCamelCase_:							int		=  set()
				UpperCamelCase_:							Optional[int]		=  word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)  )
								UpperCamelCase_:							Tuple		=  char
				return pairs





class     _UpperCamelCase			(   _A					):






			'''simple docstring'''

			__UpperCamelCase :  str    =	VOCAB_FILES_NAMES
			__UpperCamelCase :  Optional[int]    =	PRETRAINED_VOCAB_FILES_MAP
			__UpperCamelCase :  List[Any]    =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__UpperCamelCase :  Any    =	["""input_ids""", """attention_mask"""]

			def __init__(    self	:    Tuple  ,		snake_case_	:    Tuple  ,		snake_case_	:    List[str]  ,		snake_case_	:    str="replace"  ,		snake_case_	:    Any="<s>"  ,		snake_case_	:    Optional[int]="</s>"  ,		snake_case_	:    Union[str, Any]="</s>"  ,		snake_case_	:    List[Any]="<s>"  ,		snake_case_	:    List[Any]="<unk>"  ,		snake_case_	:    Any="<pad>"  ,		snake_case_	:    Union[str, Any]="<mask>"  ,		snake_case_	:    Union[str, Any]=False  ,		**snake_case_	:    Optional[Any]  ,		):
							UpperCamelCase_:							Optional[int]		=  AddedToken(snake_case_  ,		lstrip=snake_case_  ,		rstrip=snake_case_ ) if isinstance(snake_case_  ,		snake_case_ ) else bos_token
							UpperCamelCase_:							List[Any]		=  AddedToken(snake_case_  ,		lstrip=snake_case_  ,		rstrip=snake_case_ ) if isinstance(snake_case_  ,		snake_case_ ) else eos_token
							UpperCamelCase_:							Tuple		=  AddedToken(snake_case_  ,		lstrip=snake_case_  ,		rstrip=snake_case_ ) if isinstance(snake_case_  ,		snake_case_ ) else sep_token
							UpperCamelCase_:							Optional[Any]		=  AddedToken(snake_case_  ,		lstrip=snake_case_  ,		rstrip=snake_case_ ) if isinstance(snake_case_  ,		snake_case_ ) else cls_token
							UpperCamelCase_:							Any		=  AddedToken(snake_case_  ,		lstrip=snake_case_  ,		rstrip=snake_case_ ) if isinstance(snake_case_  ,		snake_case_ ) else unk_token
							UpperCamelCase_:							Tuple		=  AddedToken(snake_case_  ,		lstrip=snake_case_  ,		rstrip=snake_case_ ) if isinstance(snake_case_  ,		snake_case_ ) else pad_token

							# Mask token behave like a normal word, i.e. include the space before it
							UpperCamelCase_:							Union[str, Any]		=  AddedToken(snake_case_  ,		lstrip=snake_case_  ,		rstrip=snake_case_ ) if isinstance(snake_case_  ,		snake_case_ ) else mask_token

							super().__init__(
							    errors=snake_case_  ,		bos_token=snake_case_  ,		eos_token=snake_case_  ,		unk_token=snake_case_  ,		sep_token=snake_case_  ,		cls_token=snake_case_  ,		pad_token=snake_case_  ,		mask_token=snake_case_  ,		add_prefix_space=snake_case_  ,		**snake_case_  ,		)

							with open(snake_case_  ,		encoding="""utf-8""" ) as vocab_handle:
											UpperCamelCase_:							str		=  json.load(snake_case_ )
							UpperCamelCase_:							Tuple		=  {v: k for k, v in self.encoder.items()}
							UpperCamelCase_:							List[Any]		=  errors  # how to handle errors in decoding
							UpperCamelCase_:							List[str]		=  bytes_to_unicode()
							UpperCamelCase_:							int		=  {v: k for k, v in self.byte_encoder.items()}
							with open(snake_case_  ,		encoding="""utf-8""" ) as merges_handle:
											UpperCamelCase_:							Optional[int]		=  merges_handle.read().split("""\n""" )[1:-1]
							UpperCamelCase_:							Any		=  [tuple(merge.split() ) for merge in bpe_merges]
							UpperCamelCase_:							List[Any]		=  dict(zip(snake_case_  ,		range(len(snake_case_ ) ) ) )
							UpperCamelCase_:							List[str]		=  {}
							UpperCamelCase_:							int		=  add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							UpperCamelCase_:							Any		=  re.compile(R"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""" )

			@property
			def  lowerCAmelCase__		(    self	:    Optional[Any] ):
							return len(self.encoder )

			def  lowerCAmelCase__		(    self	:    int ):
							return dict(self.encoder  ,		**self.added_tokens_encoder )

			def  lowerCAmelCase__		(    self	:    List[str]  ,		snake_case_	:    List[str] ):
							if token in self.cache:
											return self.cache[token]
							UpperCamelCase_:							Optional[int]		=  tuple(snake_case_ )
							UpperCamelCase_:							List[Any]		=  get_pairs(snake_case_ )

							if not pairs:
											return token

							while True:
											UpperCamelCase_:							Any		=  min(snake_case_  ,		key=lambda snake_case_ : self.bpe_ranks.get(snake_case_  ,		float("""inf""" ) ) )
											if bigram not in self.bpe_ranks:
															break
											UpperCamelCase_,				UpperCamelCase_:							int		=  bigram
											UpperCamelCase_:							Optional[Any]		=  []
											UpperCamelCase_:							Dict		=  0
											while i < len(snake_case_ ):
															try:
																			UpperCamelCase_:							Union[str, Any]		=  word.index(snake_case_  ,		snake_case_ )
															except ValueError:
																			new_word.extend(word[i:] )
																			break
															else:
																			new_word.extend(word[i:j] )
																			UpperCamelCase_:							Optional[Any]		=  j

															if word[i] == first and i < len(snake_case_ ) - 1 and word[i + 1] == second:
																			new_word.append(first + second )
																			i += 2
															else:
																			new_word.append(word[i] )
																			i += 1
											UpperCamelCase_:							Any		=  tuple(snake_case_ )
											UpperCamelCase_:							Tuple		=  new_word
											if len(snake_case_ ) == 1:
															break
											else:
															UpperCamelCase_:							Dict		=  get_pairs(snake_case_ )
							UpperCamelCase_:							Optional[Any]		=  """ """.join(snake_case_ )
							UpperCamelCase_:							Optional[int]		=  word
							return word

			def  lowerCAmelCase__		(    self	:    Tuple  ,		snake_case_	:    int ):
							UpperCamelCase_:							Tuple		=  []
							for token in re.findall(self.pat  ,		snake_case_ ):
											UpperCamelCase_:							Union[str, Any]		=  """""".join(
											    self.byte_encoder[b] for b in token.encode("""utf-8""" ) )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
											bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case_ ).split(""" """ ) )
							return bpe_tokens

			def  lowerCAmelCase__		(    self	:    List[str]  ,		snake_case_	:    Dict ):
							return self.encoder.get(snake_case_  ,		self.encoder.get(self.unk_token ) )

			def  lowerCAmelCase__		(    self	:    Tuple  ,		snake_case_	:    str ):
							return self.decoder.get(snake_case_ )

			def  lowerCAmelCase__		(    self	:    Any  ,		snake_case_	:    List[str] ):
							UpperCamelCase_:							str		=  """""".join(snake_case_ )
							UpperCamelCase_:							Tuple		=  bytearray([self.byte_decoder[c] for c in text] ).decode("""utf-8"""  ,		errors=self.errors )
							return text

			def  lowerCAmelCase__		(    self	:    str  ,		snake_case_	:    str  ,		snake_case_	:    Optional[str] = None ):
							if not os.path.isdir(snake_case_ ):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
											return
							UpperCamelCase_:							Optional[Any]		=  os.path.join(
							    snake_case_  ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""] )
							UpperCamelCase_:							int		=  os.path.join(
							    snake_case_  ,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""] )

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

							UpperCamelCase_:							List[Any]		=  0
							with open(snake_case_  ,		"""w"""  ,		encoding="""utf-8""" ) as writer:
											writer.write("""#version: 0.2\n""" )
											for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,		key=lambda snake_case_ : 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_:							Optional[int]		=  token_index
															writer.write(""" """.join(snake_case_ ) + """\n""" )
															index += 1

							return vocab_file, merge_file

			def  lowerCAmelCase__		(    self	:    Any  ,		snake_case_	:    List[int]  ,		snake_case_	:    Optional[List[int]] = None ):
							if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							UpperCamelCase_:							Tuple		=  [self.cls_token_id]
							UpperCamelCase_:							Optional[Any]		=  [self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep

			def  lowerCAmelCase__		(    self	:    Optional[int]  ,		snake_case_	:    List[int]  ,		snake_case_	:    Optional[List[int]] = None  ,		snake_case_	:    bool = False ):
							if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=snake_case_  ,		token_ids_a=snake_case_  ,		already_has_special_tokens=snake_case_ )

							if token_ids_a is None:
											return [1] + ([0] * len(snake_case_ )) + [1]
							return [1] + ([0] * len(snake_case_ )) + [1, 1] + ([0] * len(snake_case_ )) + [1]

			def  lowerCAmelCase__		(    self	:    Tuple  ,		snake_case_	:    List[int]  ,		snake_case_	:    Optional[List[int]] = None ):
							UpperCamelCase_:							Optional[int]		=  [self.sep_token_id]
							UpperCamelCase_:							Optional[int]		=  [self.cls_token_id]

							if token_ids_a is None:
											return len(cls + token_ids_a + sep ) * [0]
							return len(cls + token_ids_a + sep + sep + token_ids_a + sep ) * [0]




			def  lowerCAmelCase__		(    self	:    str  ,		snake_case_	:    List[str]  ,		snake_case_	:    Any=False  ,		**snake_case_	:    Optional[Any] ):
							UpperCamelCase_:							Tuple		=  kwargs.pop("""add_prefix_space"""  ,		self.add_prefix_space )
							if (is_split_into_words or add_prefix_space) and (len(snake_case_ ) > 0 and not text[0].isspace()):
											UpperCamelCase_:							Tuple		=  """ """ + text
							return (text, kwargs)








def     A__   (  lowerCamelCase  )					->		list:
				return [
				    txt[:a] + txt[a].upper() + txt[a + 1 :]
				    for a in range(len(lowerCamelCase  )  )
				    if txt[a].isalpha()
				]


if __name__ == "__main__":
							__import__("""doctest""").testmod()






