



"""simple docstring"""






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


__snake_case							:   Union[str, Any]      =    logging.get_logger(__name__)


__snake_case							:   Tuple      =    {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

__snake_case							:   List[str]      =    {
    '''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'''
        ),
    },
}

__snake_case							:   Any      =    {
    '''allenai/longformer-base-4096''': 4_096,
    '''allenai/longformer-large-4096''': 4_096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4_096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4_096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4_096,
}


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


def 			_lowercase				(  __snake_case	)						->   Optional[Any]:
			__lowerCAmelCase      :  str												=       set()
			__lowerCAmelCase      :  List[Any]												=       word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)	)
						__lowerCAmelCase      :  Optional[Any]												=       char
			return pairs





class 			A__   (  a__							):




	'''simple docstring'''





	SCREAMING_SNAKE_CASE          =	VOCAB_FILES_NAMES
	SCREAMING_SNAKE_CASE          =	PRETRAINED_VOCAB_FILES_MAP
	SCREAMING_SNAKE_CASE          =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	SCREAMING_SNAKE_CASE          =	['input_ids', 'attention_mask']

	def __init__(     self:		Dict       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]       ,			_SCREAMING_SNAKE_CASE:		Any       ,			_SCREAMING_SNAKE_CASE:		Dict="replace"       ,			_SCREAMING_SNAKE_CASE:		Dict="<s>"       ,			_SCREAMING_SNAKE_CASE:		Union[str, Any]="</s>"       ,			_SCREAMING_SNAKE_CASE:		Any="</s>"       ,			_SCREAMING_SNAKE_CASE:		str="<s>"       ,			_SCREAMING_SNAKE_CASE:		int="<unk>"       ,			_SCREAMING_SNAKE_CASE:		str="<pad>"       ,			_SCREAMING_SNAKE_CASE:		Any="<mask>"       ,			_SCREAMING_SNAKE_CASE:		Tuple=False       ,			**_SCREAMING_SNAKE_CASE:		Tuple       ,			)				->       Union[str, Any]:

				"""simple docstring"""

				__lowerCAmelCase      :  str												=       AddedToken(_UpperCAmelCase       ,			lstrip=_UpperCAmelCase       ,			rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase) else bos_token
				__lowerCAmelCase      :  List[str]												=       AddedToken(_UpperCAmelCase       ,			lstrip=_UpperCAmelCase       ,			rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase) else eos_token
				__lowerCAmelCase      :  str												=       AddedToken(_UpperCAmelCase       ,			lstrip=_UpperCAmelCase       ,			rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase) else sep_token
				__lowerCAmelCase      :  Union[str, Any]												=       AddedToken(_UpperCAmelCase       ,			lstrip=_UpperCAmelCase       ,			rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase) else cls_token
				__lowerCAmelCase      :  str												=       AddedToken(_UpperCAmelCase       ,			lstrip=_UpperCAmelCase       ,			rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase) else unk_token
				__lowerCAmelCase      :  Optional[Any]												=       AddedToken(_UpperCAmelCase       ,			lstrip=_UpperCAmelCase       ,			rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase) else pad_token

				# Mask token behave like a normal word, i.e. include the space before it
				__lowerCAmelCase      :  Dict												=       AddedToken(_UpperCAmelCase       ,			lstrip=_UpperCAmelCase       ,			rstrip=_UpperCAmelCase) if isinstance(_UpperCAmelCase       ,			_UpperCAmelCase) else mask_token

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

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

				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
				__lowerCAmelCase      :  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 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       Dict:

				"""simple docstring"""

				return len(self.encoder)

	def 							_SCREAMING_SNAKE_CASE   (     self:		Union[str, Any])				->       List[Any]:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any]       ,			_SCREAMING_SNAKE_CASE:		Tuple)				->       Union[str, Any]:

				"""simple docstring"""

				if token in self.cache:
							return self.cache[token]
				__lowerCAmelCase      :  Union[str, Any]												=       tuple(_UpperCAmelCase)
				__lowerCAmelCase      :  Union[str, Any]												=       get_pairs(_UpperCAmelCase)

				if not pairs:
							return token

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

										if word[i] == first and i < len(_UpperCAmelCase) - 1 and word[i + 1] == second:
													new_word.append(first + second)
													i += 2
										else:
													new_word.append(word[i])
													i += 1
							__lowerCAmelCase      :  Optional[Any]												=       tuple(_UpperCAmelCase)
							__lowerCAmelCase      :  Tuple												=       new_word
							if len(_UpperCAmelCase) == 1:
										break
							else:
										__lowerCAmelCase      :  Optional[int]												=       get_pairs(_UpperCAmelCase)
				__lowerCAmelCase      :  List[Any]												=       ' '.join(_UpperCAmelCase)
				__lowerCAmelCase      :  int												=       word
				return word

	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple       ,			_SCREAMING_SNAKE_CASE:		Tuple)				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  List[str]												=       []
				for token in re.findall(self.pat       ,			_UpperCAmelCase):
							__lowerCAmelCase      :  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(_UpperCAmelCase).split(" "))
				return bpe_tokens

	def 							_SCREAMING_SNAKE_CASE   (     self:		Tuple       ,			_SCREAMING_SNAKE_CASE:		List[str])				->       int:

				"""simple docstring"""

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		Dict       ,			_SCREAMING_SNAKE_CASE:		Any)				->       Tuple:

				"""simple docstring"""

				return self.decoder.get(_UpperCAmelCase)

	def 							_SCREAMING_SNAKE_CASE   (     self:		Any       ,			_SCREAMING_SNAKE_CASE:		List[Any])				->       int:

				"""simple docstring"""

				__lowerCAmelCase      :  Dict												=       ''.join(_UpperCAmelCase)
				__lowerCAmelCase      :  Any												=       bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"       ,			errors=self.errors)
				return text

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int]       ,			_SCREAMING_SNAKE_CASE:		List[str]       ,			_SCREAMING_SNAKE_CASE:		List[Any] = None)				->       Union[str, Any]:

				"""simple docstring"""

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

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

				__lowerCAmelCase      :  int												=       0
				with open(_UpperCAmelCase       ,			"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 _SCREAMING_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!")
													__lowerCAmelCase      :  List[str]												=       token_index
										writer.write(" ".join(_UpperCAmelCase) + "\n")
										index += 1

				return vocab_file, merge_file

	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any]       ,			_SCREAMING_SNAKE_CASE:		str       ,			_SCREAMING_SNAKE_CASE:		List[Any] = None)				->       Union[str, Any]:

				"""simple docstring"""

				if token_ids_a is None:
							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
				__lowerCAmelCase      :  List[Any]												=       [self.cls_token_id]
				__lowerCAmelCase      :  List[str]												=       [self.sep_token_id]
				return cls + token_ids_a + sep + sep + token_ids_a + sep

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[str]       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]       ,			_SCREAMING_SNAKE_CASE:		Dict = None       ,			_SCREAMING_SNAKE_CASE:		Any = False)				->       int:

				"""simple docstring"""

				if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=_UpperCAmelCase       ,			token_ids_a=_UpperCAmelCase       ,			already_has_special_tokens=_UpperCAmelCase)

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

	def 							_SCREAMING_SNAKE_CASE   (     self:		int       ,			_SCREAMING_SNAKE_CASE:		Union[str, Any]       ,			_SCREAMING_SNAKE_CASE:		Optional[Any] = None)				->       Any:

				"""simple docstring"""

				__lowerCAmelCase      :  Union[str, Any]												=       [self.sep_token_id]
				__lowerCAmelCase      :  Tuple												=       [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 							_SCREAMING_SNAKE_CASE   (     self:		Tuple       ,			_SCREAMING_SNAKE_CASE:		Optional[Any]       ,			_SCREAMING_SNAKE_CASE:		List[Any]=False       ,			**_SCREAMING_SNAKE_CASE:		List[str])				->       List[str]:

				"""simple docstring"""

				__lowerCAmelCase      :  List[str]												=       kwargs.pop("add_prefix_space"       ,			self.add_prefix_space)
				if (is_split_into_words or add_prefix_space) and (len(_UpperCAmelCase) > 0 and not text[0].isspace()):
							__lowerCAmelCase      :  Optional[int]												=       ' ' + text
				return (text, kwargs)






'''simple docstring'''




import random






def        _lowerCAmelCase			(  __snake_case  : int ,							__snake_case  : float ,							__snake_case  : bool = False			)     ->     dict:
     __A						: dict      =       {i: [] for i in range(__snake_case			)}

     # if probability is greater or equal than 1, then generate a complete graph
     if probability >= 1:
          return complete_graph(__snake_case			)
     # if probability is lower or equal than 0, then return a graph without edges
     if probability <= 0:
          return graph

     # for each couple of nodes, add an edge from u to v
     # if the number randomly generated is greater than probability probability
     for i in range(__snake_case			):
          for j in range(i + 1 ,							__snake_case			):
               if random.random() < probability:
                    graph[i].append(__snake_case			)
                    if not directed:
                         # if the graph is undirected, add an edge in from j to i, either
                         graph[j].append(__snake_case			)
     return graph






def        _lowerCAmelCase			(  __snake_case  : int			)     ->     dict:
     return {
         i: [j for j in range(__snake_case			) if i != j] for i in range(__snake_case			)
     }


if __name__ == "__main__":
  import doctest

  doctest.testmod()