
'''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:
					__lowercase							:   Union[str, Any]					=     None


__lowercase							:   str					=     logging.get_logger(__name__)


__lowercase							:   Optional[Any]					=     '''▁'''

__lowercase							:   Union[str, Any]					=     {'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowercase							:   List[str]					=     {
    '''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'''
    },
}

__lowercase							:   Optional[int]					=     {
    '''google/pegasus-xsum''': 512,
}

class 	__lowercase				(  _lowercase    ):
			lowerCamelCase			:		Union[str, Any]	      =			VOCAB_FILES_NAMES
			lowerCamelCase			:		Dict	      =			PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase			:		str	      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase			:		List[str]	      =			PegasusTokenizer
			lowerCamelCase			:		Dict	      =			["input_ids", "attention_mask"]

			def __init__(self			,   A=None			,   A=None			,   A="<pad>"			,   A="</s>"			,   A="<unk>"			,   A="<mask_2>"			,   A="<mask_1>"			,   A=None			,   A=1_0_3			,   **A			,   ):
								lowerCamelCase_					:      Tuple     =		offset

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

													lowerCamelCase_					:      int     =		(
													    ([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(A      )			,   self.offset - 1      )
													]

													if len(set(A      )      ) != len(A      ):
																		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}."""      )
													lowerCamelCase_					:      Optional[int]     =		additional_special_tokens_extended
								else:
													lowerCamelCase_					:      Union[str, Any]     =		[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__(
								    A			,   tokenizer_file=A			,   pad_token=A			,   eos_token=A			,   unk_token=A			,   mask_token=A			,   mask_token_sent=A			,   offset=A			,   additional_special_tokens=A			,   **A			,   )
								lowerCamelCase_					:      Any     =		vocab_file
								lowerCamelCase_					:      List[str]     =		False if not self.vocab_file else True

			def        UpperCAmelCase__ (self			,   A      ):
								lowerCamelCase_					:      int     =		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        UpperCAmelCase__ (self			,   A			,   A = None			,   A = False      ):
								if already_has_special_tokens:
													return self._special_token_mask(A      )
								elif token_ids_a is None:
													return self._special_token_mask(A      ) + [1]
								else:
													return self._special_token_mask(token_ids_a + token_ids_a      ) + [1]

			def        UpperCAmelCase__ (self			,   A			,   A=None      ):
								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        UpperCAmelCase__ (self			,   A			,   A = None      ):
								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(A      ):
													logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""      )
													return
								lowerCamelCase_					:      Optional[Any]     =		os.path.join(
								    A			,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

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

								return (out_vocab_file,)




'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


__lowercase							:   List[Any]					=     {}


try:
					if not is_sentencepiece_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__lowercase							:   List[Any]					=     ['''MLukeTokenizer''']

if TYPE_CHECKING:
					try:
										if not is_sentencepiece_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_mluke import MLukeTokenizer


else:
					import sys

					__lowercase							:   List[str]					=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


