
"""simple docstring"""





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_					:						List[Any]				= None


UpperCamelCase_					:						int				= logging.get_logger(__name__)


UpperCamelCase_					:						int				= '''▁'''

UpperCamelCase_					:						List[str]				= {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

UpperCamelCase_					:						List[Any]				= {
    '''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_					:						Optional[Any]				= {
    '''google/pegasus-xsum''': 512,
}



class __lowerCAmelCase				(					_lowercase      ):




			"""simple docstring"""







			snake_case	      =				VOCAB_FILES_NAMES
			snake_case	      =				PRETRAINED_VOCAB_FILES_MAP
			snake_case	      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			snake_case	      =				PegasusTokenizer
			snake_case	      =				["input_ids", "attention_mask"]




			def __init__(				self						:					List[Any]       ,   _snake_case						:					List[Any]=None       ,   _snake_case						:					List[str]=None       ,   _snake_case						:					Any="<pad>"       ,   _snake_case						:					Dict="</s>"       ,   _snake_case						:					List[Any]="<unk>"       ,   _snake_case						:					Optional[Any]="<mask_2>"       ,   _snake_case						:					Optional[Any]="<mask_1>"       ,   _snake_case						:					List[Any]=None       ,   _snake_case						:					str=103       ,   **_snake_case						:					Optional[int]       ,   )      -> Tuple:







								"""simple docstring"""
								A_				 =						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	)}'	)

													A_				 =						(
													    ([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}.'	)
													A_				 =						additional_special_tokens_extended
								else:
													A_				 =						[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       ,   )
								A_				 =						vocab_file
								A_				 =						False if not self.vocab_file else True




			def      lowerCamelCase__     (				self						:					List[Any]       ,   _snake_case						:					Optional[int]	)      -> int:







								"""simple docstring"""
								A_				 =						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      lowerCamelCase__     (				self						:					Optional[int]       ,   _snake_case						:					List       ,   _snake_case						:					Optional[List] = None       ,   _snake_case						:					bool = False	)      -> List[int]:







								"""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      lowerCamelCase__     (				self						:					List[Any]       ,   _snake_case						:					Tuple       ,   _snake_case						:					str=None	)      -> List[int]:







								"""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      lowerCamelCase__     (				self						:					Optional[Any]       ,   _snake_case						:					str       ,   _snake_case						:					Optional[str] = None	)      -> Tuple[str]:







								"""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
								A_				 =						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,)






"""simple docstring"""





import baseaa
def 							A_     (__a				):

					'''simple docstring'''





					return baseaa.aaaencode(string.encode("utf-8"				)				)
def 							A_     (__a				):

					'''simple docstring'''





					return baseaa.aaadecode(__a				).decode("utf-8"				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()




