


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
						from .tokenization_pegasus import PegasusTokenizer
else:
						__UpperCamelCase    		=       None


__UpperCamelCase    		=       logging.get_logger(__name__)


__UpperCamelCase    		=       '▁'

__UpperCamelCase    		=       {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

__UpperCamelCase    		=       {
    'vocab_file': {'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'},
    'tokenizer_file': {
        'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'
    },
}

__UpperCamelCase    		=       {
    'google/pegasus-xsum': 5_1_2,
}







class        lowerCamelCase__	(							UpperCAmelCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					Optional[Any]    =		VOCAB_FILES_NAMES
			_UpperCamelCase		:					Union[str, Any]    =		PRETRAINED_VOCAB_FILES_MAP
			_UpperCamelCase		:					List[Any]    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_UpperCamelCase		:					Tuple    =		PegasusTokenizer
			_UpperCamelCase		:					Tuple    =		['input_ids', 'attention_mask']




			def __init__(							self      ,						snake_case=None      ,						snake_case=None      ,						snake_case="<pad>"      ,						snake_case="</s>"      ,						snake_case="<unk>"      ,						snake_case="<mask_2>"      ,						snake_case="<mask_1>"      ,						snake_case=None      ,						snake_case=103      ,						**snake_case      ,						):

						'''simple docstring'''


						UpperCamelCase__					=       offset

						if additional_special_tokens is not None:
									if not isinstance(snake_case      ,						snake_case     ):
												raise TypeError(
												    F'''additional_special_tokens should be of type {type(snake_case     )}, but is'''
												    F''' {type(snake_case     )}'''     )

									UpperCamelCase__					=       (
									    ([mask_token_sent] + additional_special_tokens)
									    if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
									    else additional_special_tokens
									)
									# fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
									additional_special_tokens_extended += [
									    F'''<unk_{i}>''' for i in range(len(snake_case     )      ,						self.offset - 1     )
									]

									if len(set(snake_case     )     ) != len(snake_case     ):
												raise ValueError(
												    "Please make sure that the provided additional_special_tokens do not contain an incorrectly"
												    F''' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'''     )
									UpperCamelCase__					=       additional_special_tokens_extended
						else:
									UpperCamelCase__					=       [mask_token_sent] if mask_token_sent is not None else []
									additional_special_tokens += [F'''<unk_{i}>''' for i in range(2      ,						self.offset     )]

						super().__init__(
						    snake_case      ,						tokenizer_file=snake_case      ,						pad_token=snake_case      ,						eos_token=snake_case      ,						unk_token=snake_case      ,						mask_token=snake_case      ,						mask_token_sent=snake_case      ,						offset=snake_case      ,						additional_special_tokens=snake_case      ,						**snake_case      ,						)
						UpperCamelCase__					=       vocab_file
						UpperCamelCase__					=       False if not self.vocab_file else True




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       set(self.all_special_ids     )  # call it once instead of inside list comp
						all_special_ids.remove(self.unk_token_id     )  # <unk> is only sometimes special

						if all_special_ids != set(range(len(self.additional_special_tokens     ) + 3     )     ):
									raise ValueError(
									    "There should be 3 special tokens: mask_token, pad_token, and eos_token +"
									    F''' {len(self.additional_special_tokens     )} additional_special_tokens, but got {all_special_ids}'''     )

						return [1 if x in all_special_ids else 0 for x in seq]




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case = None      ,						snake_case = False     ):

						'''simple docstring'''


						if already_has_special_tokens:
									return self._special_token_mask(snake_case     )
						elif token_ids_a is None:
									return self._special_token_mask(snake_case     ) + [1]
						else:
									return self._special_token_mask(token_ids_a + token_ids_a     ) + [1]




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case=None     ):

						'''simple docstring'''


						if token_ids_a is None:
									return token_ids_a + [self.eos_token_id]
						# We don't expect to process pairs, but leave the pair logic for API consistency
						return token_ids_a + token_ids_a + [self.eos_token_id]







			def 				snake_case__				(							self      ,						snake_case      ,						snake_case = None     ):

						'''simple docstring'''


						if not self.can_save_slow_tokenizer:
									raise ValueError(
									    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
									    "tokenizer."     )

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

						if os.path.abspath(self.vocab_file     ) != os.path.abspath(snake_case     ):
									copyfile(self.vocab_file      ,						snake_case     )

						return (out_vocab_file,)






def        UpperCamelCase_(				_A   :str  )->		int:
			UpperCamelCase__					=       hex_num.strip()
			if not hex_num:
						raise ValueError("No value was passed to the function"  )

			UpperCamelCase__					=       hex_num[0] == "-"
			if is_negative:
						UpperCamelCase__					=       hex_num[1:]

			try:
						UpperCamelCase__					=       int(_A				,     16  )
			except ValueError:
						raise ValueError("Invalid value was passed to the function"  )

			UpperCamelCase__					=       ""
			while int_num > 0:
						UpperCamelCase__					=       str(int_num % 2  ) + bin_str
						int_num >>= 1

			return int(("-" + bin_str) if is_negative else bin_str  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()


