
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_						: Optional[Any]         =  logging.get_logger(__name__)


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

lowerCamelCase_						: Optional[int]         =  {
    """vocab_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """allenai/longformer-base-4096""": """https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt""",
        """allenai/longformer-large-4096""": (
            """https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-finetuned-triviaqa""": (
            """https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt"""
        ),
        """allenai/longformer-base-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
        """allenai/longformer-large-4096-extra.pos.embd.only""": (
            """https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt"""
        ),
    },
}

lowerCamelCase_						: List[str]         =  {
    """allenai/longformer-base-4096""": 40_96,
    """allenai/longformer-large-4096""": 40_96,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 40_96,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 40_96,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 40_96,
}







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







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





class        _UpperCamelCase				(					_A  ):






			'''simple docstring'''

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

			def __init__(       self :       Optional[int]						,	snake_case_ :       Tuple						,	snake_case_ :       Dict						,	snake_case_ :       Optional[Any]="replace"						,	snake_case_ :       Union[str, Any]="<s>"						,	snake_case_ :       Tuple="</s>"						,	snake_case_ :       int="</s>"						,	snake_case_ :       List[Any]="<s>"						,	snake_case_ :       Optional[Any]="<unk>"						,	snake_case_ :       Optional[Any]="<pad>"						,	snake_case_ :       List[Any]="<mask>"						,	snake_case_ :       Optional[int]=False						,	**snake_case_ :       Tuple						,	):
							UpperCamelCase_:							str	=						AddedToken(snake_case_						,	lstrip=snake_case_						,	rstrip=snake_case_      ) if isinstance(snake_case_						,	snake_case_      ) else bos_token
							UpperCamelCase_:							str	=						AddedToken(snake_case_						,	lstrip=snake_case_						,	rstrip=snake_case_      ) if isinstance(snake_case_						,	snake_case_      ) else eos_token
							UpperCamelCase_:							Optional[Any]	=						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_:							List[Any]	=						AddedToken(snake_case_						,	lstrip=snake_case_						,	rstrip=snake_case_      ) if isinstance(snake_case_						,	snake_case_      ) else unk_token
							UpperCamelCase_:							List[str]	=						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_:							Dict	=						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_:							Tuple	=						json.load(snake_case_      )
							UpperCamelCase_:							Any	=						{v: k for k, v in self.encoder.items()}
							UpperCamelCase_:							Optional[int]	=						errors  # how to handle errors in decoding
							UpperCamelCase_:							Union[str, Any]	=						bytes_to_unicode()
							UpperCamelCase_:							List[str]	=						{v: k for k, v in self.byte_encoder.items()}
							with open(snake_case_						,	encoding="""utf-8"""      ) as merges_handle:
											UpperCamelCase_:							Tuple	=						merges_handle.read().split("""\n"""      )[1:-1]
							UpperCamelCase_:							Tuple	=						[tuple(merge.split()      ) for merge in bpe_merges]
							UpperCamelCase_:							Optional[int]	=						dict(zip(snake_case_						,	range(len(snake_case_      )      )      )      )
							UpperCamelCase_:							Tuple	=						{}
							UpperCamelCase_:							str	=						add_prefix_space

							# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
							UpperCamelCase_:							Optional[int]	=						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 :       Tuple      ):
							return len(self.encoder      )

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

			def       lowerCAmelCase__	(       self :       List[Any]						,	snake_case_ :       Union[str, Any]      ):
							if token in self.cache:
											return self.cache[token]
							UpperCamelCase_:							Any	=						tuple(snake_case_      )
							UpperCamelCase_:							Union[str, 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_:							Union[str, Any]	=						bigram
											UpperCamelCase_:							Optional[int]	=						[]
											UpperCamelCase_:							List[str]	=						0
											while i < len(snake_case_      ):
															try:
																			UpperCamelCase_:							Tuple	=						word.index(snake_case_						,	snake_case_      )
															except ValueError:
																			new_word.extend(word[i:]      )
																			break
															else:
																			new_word.extend(word[i:j]      )
																			UpperCamelCase_:							List[str]	=						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_:							Union[str, Any]	=						tuple(snake_case_      )
											UpperCamelCase_:							str	=						new_word
											if len(snake_case_      ) == 1:
															break
											else:
															UpperCamelCase_:							Tuple	=						get_pairs(snake_case_      )
							UpperCamelCase_:							List[str]	=						""" """.join(snake_case_      )
							UpperCamelCase_:							Union[str, Any]	=						word
							return word

			def       lowerCAmelCase__	(       self :       Dict						,	snake_case_ :       int      ):
							UpperCamelCase_:							Optional[Any]	=						[]
							for token in re.findall(self.pat						,	snake_case_      ):
											UpperCamelCase_:							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 :       Optional[int]						,	snake_case_ :       Any      ):
							return self.encoder.get(snake_case_						,	self.encoder.get(self.unk_token      )      )

			def       lowerCAmelCase__	(       self :       List[Any]						,	snake_case_ :       Union[str, Any]      ):
							return self.decoder.get(snake_case_      )

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

			def       lowerCAmelCase__	(       self :       int						,	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_:							Dict	=						os.path.join(
							    snake_case_						,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )
							UpperCamelCase_:							Optional[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_:							Tuple	=						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_:							List[str]	=						token_index
															writer.write(""" """.join(snake_case_      ) + """\n"""      )
															index += 1

							return vocab_file, merge_file

			def       lowerCAmelCase__	(       self :       Optional[int]						,	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_:							Union[str, Any]	=						[self.cls_token_id]
							UpperCamelCase_:							Union[str, Any]	=						[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep

			def       lowerCAmelCase__	(       self :       Union[str, Any]						,	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 :       Optional[Any]						,	snake_case_ :       List[int]						,	snake_case_ :       Optional[List[int]] = None      ):
							UpperCamelCase_:							Optional[int]	=						[self.sep_token_id]
							UpperCamelCase_:							Optional[Any]	=						[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 :       List[Any]						,	snake_case_ :       Optional[Any]						,	snake_case_ :       Optional[Any]=False						,	**snake_case_ :       Union[str, Any]      ):
							UpperCamelCase_:							str	=						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_:							str	=						""" """ + text
							return (text, kwargs)








lowerCamelCase_						: Optional[Any]         =  """
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

lowerCamelCase_						: Union[str, Any]         =  [{"""type""": """code""", """content""": INSTALL_CONTENT}]
lowerCamelCase_						: Optional[Any]         =  {
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}






