


'''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


UpperCAmelCase_		:   Tuple							   =		logging.get_logger(__name__)


UpperCAmelCase_		:   Dict							   =		{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

UpperCAmelCase_		:   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'
        ),
    },
}

UpperCAmelCase_		:   Dict							   =		{
    'allenai/longformer-base-4096': 4096,
    'allenai/longformer-large-4096': 4096,
    'allenai/longformer-large-4096-finetuned-triviaqa': 4096,
    'allenai/longformer-base-4096-extra.pos.embd.only': 4096,
    'allenai/longformer-large-4096-extra.pos.embd.only': 4096,
}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 			snake_case_   (  ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       int     		=      (
				    list(range(ord("""!"""     )							,      ord("""~"""     ) + 1     )     ) + list(range(ord("""¡"""     )							,      ord("""¬"""     ) + 1     )     ) + list(range(ord("""®"""     )							,      ord("""ÿ"""     ) + 1     )     )
				)
				_SCREAMING_SNAKE_CASE :       int     		=      bs[:]
				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      0
				for b in range(2**8     ):
								if b not in bs:
												bs.append(SCREAMING_SNAKE_CASE__     )
												cs.append(2**8 + n     )
												n += 1
				_SCREAMING_SNAKE_CASE :       Any     		=      [chr(SCREAMING_SNAKE_CASE__     ) for n in cs]
				return dict(zip(SCREAMING_SNAKE_CASE__							,      SCREAMING_SNAKE_CASE__     )     )







def 			snake_case_   (  SCREAMING_SNAKE_CASE__     ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Tuple     		=      set()
				_SCREAMING_SNAKE_CASE :       str     		=      word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)     )
								_SCREAMING_SNAKE_CASE :       List[Any]     		=      char
				return pairs







class     lowercase__  (						_snake_case					):





							'''simple docstring'''


							A_							:      List[Any]      	=  VOCAB_FILES_NAMES
							A_							:      Tuple      	=  PRETRAINED_VOCAB_FILES_MAP
							A_							:      Any      	=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							A_							:      List[Any]      	=  ["""input_ids""", """attention_mask"""]






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

											# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
											_SCREAMING_SNAKE_CASE :       List[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 UpperCAmelCase_	(    self  ):
											return len(self.encoder  )






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






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											if token in self.cache:
															return self.cache[token]
											_SCREAMING_SNAKE_CASE :       List[str]     		=      tuple(__snake_case  )
											_SCREAMING_SNAKE_CASE :       Optional[int]     		=      get_pairs(__snake_case  )

											if not pairs:
															return token

											while True:
															_SCREAMING_SNAKE_CASE :       Any     		=      min(__snake_case    ,					key=lambda __snake_case  : self.bpe_ranks.get(__snake_case    ,					float("""inf"""  )  )  )
															if bigram not in self.bpe_ranks:
																			break
															_SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE :       int     		=      bigram
															_SCREAMING_SNAKE_CASE :       Any     		=      []
															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      0
															while i < len(__snake_case  ):
																			try:
																							_SCREAMING_SNAKE_CASE :       List[str]     		=      word.index(__snake_case    ,					__snake_case  )
																			except ValueError:
																							new_word.extend(word[i:]  )
																							break
																			else:
																							new_word.extend(word[i:j]  )
																							_SCREAMING_SNAKE_CASE :       Union[str, 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
															_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      tuple(__snake_case  )
															_SCREAMING_SNAKE_CASE :       List[Any]     		=      new_word
															if len(__snake_case  ) == 1:
																			break
															else:
																			_SCREAMING_SNAKE_CASE :       List[Any]     		=      get_pairs(__snake_case  )
											_SCREAMING_SNAKE_CASE :       Dict     		=      """ """.join(__snake_case  )
											_SCREAMING_SNAKE_CASE :       Dict     		=      word
											return word






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      []
											for token in re.findall(self.pat    ,					__snake_case  ):
															_SCREAMING_SNAKE_CASE :       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 UpperCAmelCase_	(    self    ,					__snake_case  ):
											return self.encoder.get(__snake_case    ,					self.encoder.get(self.unk_token  )  )






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											return self.decoder.get(__snake_case  )






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											_SCREAMING_SNAKE_CASE :       str     		=      """""".join(__snake_case  )
											_SCREAMING_SNAKE_CASE :       str     		=      bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""    ,					errors=self.errors  )
											return text






							def UpperCAmelCase_	(    self    ,					__snake_case    ,					__snake_case = None  ):
											if not os.path.isdir(__snake_case  ):
															logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""  )
															return
											_SCREAMING_SNAKE_CASE :       List[Any]     		=      os.path.join(
											    __snake_case    ,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      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"""  )

											_SCREAMING_SNAKE_CASE :       List[str]     		=      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!"""  )
																							_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      token_index
																			writer.write(""" """.join(__snake_case  ) + """\n"""  )
																			index += 1

											return vocab_file, merge_file






							def UpperCAmelCase_	(    self    ,					__snake_case    ,					__snake_case = None  ):
											if token_ids_a is None:
															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
											_SCREAMING_SNAKE_CASE :       Dict     		=      [self.cls_token_id]
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      [self.sep_token_id]
											return cls + token_ids_a + sep + sep + token_ids_a + sep






							def UpperCAmelCase_	(    self    ,					__snake_case    ,					__snake_case = None    ,					__snake_case = 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 UpperCAmelCase_	(    self    ,					__snake_case    ,					__snake_case = None  ):
											_SCREAMING_SNAKE_CASE :       Optional[int]     		=      [self.sep_token_id]
											_SCREAMING_SNAKE_CASE :       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 UpperCAmelCase_	(    self    ,					__snake_case    ,					__snake_case=False    ,					**__snake_case  ):
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      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()):
															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      """ """ + text
											return (text, kwargs)








'''simple docstring'''


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

UpperCAmelCase_		:   Dict							   =		[{'type': 'code', 'content': INSTALL_CONTENT}]
UpperCAmelCase_		:   Any							   =		{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}




