






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								=						logging.get_logger(__name__)


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

__UpperCAmelCase								=						{
    '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								=						{
    '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      lowercase__      (     ):


					'''simple docstring'''


					UpperCAmelCase_    :      str            =						(
					    list(range(ord('!'  )     ,       ord('~'  ) + 1  )  ) + list(range(ord('¡'  )     ,       ord('¬'  ) + 1  )  ) + list(range(ord('®'  )     ,       ord('ÿ'  ) + 1  )  )
					)
					UpperCAmelCase_    :      Any            =						bs[:]
					UpperCAmelCase_    :      Tuple            =						0
					for b in range(2**8  ):
										if b not in bs:
															bs.append(__snake_case  )
															cs.append(2**8 + n  )
															n += 1
					UpperCAmelCase_    :      Optional[Any]            =						[chr(__snake_case  ) for n in cs]
					return dict(zip(__snake_case     ,       __snake_case  )  )




def      lowercase__      (     __snake_case    :							Tuple  ):


					'''simple docstring'''


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






class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



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



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

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



		def 					__UpperCAmelCase			(							self   )	->							Optional[int]:
							return dict(self.encoder				,		**self.added_tokens_encoder   )



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							Any:
							if token in self.cache:
												return self.cache[token]
							UpperCAmelCase_    :      List[Any]            =						tuple(_UpperCamelCase   )
							UpperCAmelCase_    :      Optional[int]            =						get_pairs(_UpperCamelCase   )

							if not pairs:
												return token

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



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							Union[str, Any]:
							UpperCAmelCase_    :      List[str]            =						[]
							for token in re.findall(self.pat				,		_UpperCamelCase   ):
												UpperCAmelCase_    :      Dict            =						''.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 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							List[str]:
							return self.encoder.get(_UpperCamelCase				,		self.encoder.get(self.unk_token   )   )



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							Any:
							return self.decoder.get(_UpperCamelCase   )



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase   )	->							Any:
							UpperCAmelCase_    :      Optional[Any]            =						''.join(_UpperCamelCase   )
							UpperCAmelCase_    :      str            =						bytearray([self.byte_decoder[c] for c in text]   ).decode('utf-8'				,		errors=self.errors   )
							return text



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None   )	->							Tuple[str]:
							if not os.path.isdir(_UpperCamelCase   ):
												logger.error(f"Vocabulary path ({save_directory}) should be a directory"   )
												return
							UpperCAmelCase_    :      Tuple            =						os.path.join(
							    _UpperCamelCase				,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )
							UpperCAmelCase_    :      Dict            =						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'   )

							UpperCAmelCase_    :      Union[str, Any]            =						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 _UpperCamelCase   : 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_    :      Union[str, Any]            =						token_index
																	writer.write(' '.join(_UpperCamelCase   ) + '\n'   )
																	index += 1

							return vocab_file, merge_file



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None   )	->							List[int]:
							if token_ids_a is None:
												return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							UpperCAmelCase_    :      List[Any]            =						[self.cls_token_id]
							UpperCAmelCase_    :      Dict            =						[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep



		def 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None				,		_UpperCamelCase = False   )	->							List[int]:
							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 					__UpperCAmelCase			(							self				,		_UpperCamelCase				,		_UpperCamelCase = None   )	->							List[int]:
							UpperCAmelCase_    :      Dict            =						[self.sep_token_id]
							UpperCAmelCase_    :      str            =						[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				,		_UpperCamelCase				,		_UpperCamelCase=False				,		**_UpperCamelCase   )	->							Optional[Any]:
							UpperCAmelCase_    :      Optional[int]            =						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()):
												UpperCAmelCase_    :      Optional[Any]            =						' ' + text
							return (text, kwargs)











'''simple docstring'''




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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


UpperCamelCase__       :	List[str]    = logging.get_logger(__name__)


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

# See all LED models at https://huggingface.co/models?filter=LED
UpperCamelCase__       :	Tuple    = {
    '''vocab_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json''',
    },
}

UpperCamelCase__       :	List[Any]    = {
    '''allenai/led-base-16384''': 1_63_84,
}


@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 				lowerCAmelCase_   (	):
		__SCREAMING_SNAKE_CASE       :		Tuple           =		(
		    list(range(ord("""!"""					)       ,      ord("""~"""					) + 1					)					) + list(range(ord("""¡"""					)       ,      ord("""¬"""					) + 1					)					) + list(range(ord("""®"""					)       ,      ord("""ÿ"""					) + 1					)					)
		)
		__SCREAMING_SNAKE_CASE       :		Any           =		bs[:]
		__SCREAMING_SNAKE_CASE       :		Tuple           =		0
		for b in range(2**8					):
				if b not in bs:
						bs.append(_lowerCamelCase					)
						cs.append(2**8 + n					)
						n += 1
		__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		[chr(_lowerCamelCase					) for n in cs]
		return dict(zip(_lowerCamelCase       ,      _lowerCamelCase					)					)


def 				lowerCAmelCase_   (	_lowerCamelCase:   Optional[int]					):
		__SCREAMING_SNAKE_CASE       :		Dict           =		set()
		__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		word[0]
		for char in word[1:]:
				pairs.add((prev_char, char)					)
				__SCREAMING_SNAKE_CASE       :		str           =		char
		return pairs






class 						_UpperCamelCase  (							lowerCamelCase__    ):


			'''simple docstring'''

			_A      :		Union[str, Any]			    =		VOCAB_FILES_NAMES
			_A      :		Any			    =		PRETRAINED_VOCAB_FILES_MAP
			_A      :		Any			    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_A      :		Optional[Any]			    =		['''input_ids''', '''attention_mask''']

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





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else bos_token
					__SCREAMING_SNAKE_CASE       :		List[str]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else eos_token
					__SCREAMING_SNAKE_CASE       :		List[str]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else sep_token
					__SCREAMING_SNAKE_CASE       :		Dict           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else cls_token
					__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else unk_token
					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else pad_token

					# Mask token behave like a normal word, i.e. include the space before it
					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		AddedToken(lowerCAmelCase__							,     lstrip=lowerCAmelCase__							,     rstrip=lowerCAmelCase__						) if isinstance(lowerCAmelCase__							,     lowerCAmelCase__						) else mask_token

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

					with open(lowerCAmelCase__							,     encoding="""utf-8"""						) as vocab_handle:
							__SCREAMING_SNAKE_CASE       :		str           =		json.load(lowerCAmelCase__						)
					__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       :		Tuple           =		{v: k for k, v in self.byte_encoder.items()}
					with open(lowerCAmelCase__							,     encoding="""utf-8"""						) as merges_handle:
							__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		merges_handle.read().split("""\n"""						)[1:-1]
					__SCREAMING_SNAKE_CASE       :		int           =		[tuple(merge.split()						) for merge in bpe_merges]
					__SCREAMING_SNAKE_CASE       :		Optional[int]           =		dict(zip(lowerCAmelCase__							,     range(len(lowerCAmelCase__						)						)						)						)
					__SCREAMING_SNAKE_CASE       :		int           =		{}
					__SCREAMING_SNAKE_CASE       :		Any           =		add_prefix_space

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

			@property
			# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
			def UpperCamelCase__					(							self     : Union[str, Any]						):





					"""simple docstring"""






					return len(self.encoder						)

			def UpperCamelCase__					(							self     : Any						):





					"""simple docstring"""






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

			def UpperCamelCase__					(							self     : Dict							,     lowerCAmelCase__     : Any						):





					"""simple docstring"""






					if token in self.cache:
							return self.cache[token]
					__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		tuple(lowerCAmelCase__						)
					__SCREAMING_SNAKE_CASE       :		Dict           =		get_pairs(lowerCAmelCase__						)

					if not pairs:
							return token

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

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

			def UpperCamelCase__					(							self     : Optional[Any]							,     lowerCAmelCase__     : Dict						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		Optional[Any]           =		[]
					for token in re.findall(self.pat							,     lowerCAmelCase__						):
							__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(lowerCAmelCase__						).split(""" """						)						)
					return bpe_tokens

			def UpperCamelCase__					(							self     : List[str]							,     lowerCAmelCase__     : List[str]						):





					"""simple docstring"""






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

			def UpperCamelCase__					(							self     : int							,     lowerCAmelCase__     : Optional[int]						):





					"""simple docstring"""






					return self.decoder.get(lowerCAmelCase__						)

			def UpperCamelCase__					(							self     : Optional[Any]							,     lowerCAmelCase__     : List[Any]						):





					"""simple docstring"""






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

			def UpperCamelCase__					(							self     : List[str]							,     lowerCAmelCase__     : str							,     lowerCAmelCase__     : Optional[str] = None						):





					"""simple docstring"""






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

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

					__SCREAMING_SNAKE_CASE       :		Tuple           =		0
					with open(lowerCAmelCase__							,     """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 lowerCAmelCase__						: 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       :		List[Any]           =		token_index
									writer.write(""" """.join(lowerCAmelCase__						) + """\n"""						)
									index += 1

					return vocab_file, merge_file

			def UpperCamelCase__					(							self     : str							,     lowerCAmelCase__     : List[int]							,     lowerCAmelCase__     : Optional[List[int]] = None						):





					"""simple docstring"""






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

			def UpperCamelCase__					(							self     : Any							,     lowerCAmelCase__     : List[int]							,     lowerCAmelCase__     : Optional[List[int]] = None							,     lowerCAmelCase__     : bool = False						):





					"""simple docstring"""






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

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

			def UpperCamelCase__					(							self     : Any							,     lowerCAmelCase__     : List[int]							,     lowerCAmelCase__     : Optional[List[int]] = None						):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		int           =		[self.sep_token_id]
					__SCREAMING_SNAKE_CASE       :		List[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     : Optional[Any]							,     lowerCAmelCase__     : int							,     lowerCAmelCase__     : List[Any]=False							,     **lowerCAmelCase__     : Tuple						):





					"""simple docstring"""






					__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(lowerCAmelCase__						) > 0 and not text[0].isspace()):
							__SCREAMING_SNAKE_CASE       :		int           =		""" """ + text
					return (text, kwargs)



			def UpperCamelCase__					(							self     : Optional[Any]							,     lowerCAmelCase__     : Union[Dict[str, EncodedInput], BatchEncoding]							,     lowerCAmelCase__     : Optional[int] = None							,     lowerCAmelCase__     : PaddingStrategy = PaddingStrategy.DO_NOT_PAD							,     lowerCAmelCase__     : Optional[int] = None							,     lowerCAmelCase__     : Optional[bool] = None							,     ):





					"""simple docstring"""






					__SCREAMING_SNAKE_CASE       :		str           =		super()._pad(
					    encoded_inputs=lowerCAmelCase__							,     max_length=lowerCAmelCase__							,     padding_strategy=lowerCAmelCase__							,     pad_to_multiple_of=lowerCAmelCase__							,     return_attention_mask=lowerCAmelCase__							,     )

					# Load from model defaults
					if return_attention_mask is None:
							__SCREAMING_SNAKE_CASE       :		Tuple           =		"""attention_mask""" in self.model_input_names

					if return_attention_mask and "global_attention_mask" in encoded_inputs:
							__SCREAMING_SNAKE_CASE       :		str           =		encoded_inputs[self.model_input_names[0]]
							# `global_attention_mask` need to have the same length as other (sequential) inputs.
							__SCREAMING_SNAKE_CASE       :		str           =		len(encoded_inputs["""global_attention_mask"""]						) != len(lowerCAmelCase__						)

							if needs_to_be_padded:
									__SCREAMING_SNAKE_CASE       :		Dict           =		len(lowerCAmelCase__						) - len(encoded_inputs["""global_attention_mask"""]						)

									if self.padding_side == "right":
											# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
											__SCREAMING_SNAKE_CASE       :		Union[str, Any]           =		(
											    encoded_inputs["""global_attention_mask"""] + [-1] * difference
											)
									elif self.padding_side == "left":
											__SCREAMING_SNAKE_CASE       :		Dict           =		[-1] * difference + encoded_inputs[
											    """global_attention_mask"""
											]
									else:
											raise ValueError("""Invalid padding strategy:""" + str(self.padding_side						)						)

					return encoded_inputs