


'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase					       =							{
    """configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase					       =							[
		    """PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """PegasusXForConditionalGeneration""",
		    """PegasusXModel""",
		    """PegasusXPreTrainedModel""",
		]


if TYPE_CHECKING:
		from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_pegasus_x import (
				    PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
				    PegasusXForConditionalGeneration,
				    PegasusXModel,
				    PegasusXPreTrainedModel,
				)


else:
		import sys

		__UpperCAmelCase					       =							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



'''simple docstring'''






import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


__UpperCAmelCase					       =							logging.get_logger(__name__)

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

__UpperCAmelCase					       =							{
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/tokenizer.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/tokenizer.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json''',
        '''roberta-base-openai-detector''': (
            '''https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json'''
        ),
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json'''
        ),
    },
}

__UpperCAmelCase					       =							{
    '''roberta-base''': 512,
    '''roberta-large''': 512,
    '''roberta-large-mnli''': 512,
    '''distilroberta-base''': 512,
    '''roberta-base-openai-detector''': 512,
    '''roberta-large-openai-detector''': 512,
}




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     Optional[Any]					=   VOCAB_FILES_NAMES
							lowercase__    :     int					=   PRETRAINED_VOCAB_FILES_MAP
							lowercase__    :     Any					=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__    :     List[Any]					=   ["input_ids", "attention_mask"]
							lowercase__    :     Dict					=   RobertaTokenizer







							def __init__(	self      ,					lowerCamelCase_=None      ,					lowerCamelCase_=None      ,					lowerCamelCase_=None      ,					lowerCamelCase_="replace"      ,					lowerCamelCase_="<s>"      ,					lowerCamelCase_="</s>"      ,					lowerCamelCase_="</s>"      ,					lowerCamelCase_="<s>"      ,					lowerCamelCase_="<unk>"      ,					lowerCamelCase_="<pad>"      ,					lowerCamelCase_="<mask>"      ,					lowerCamelCase_=False      ,					lowerCamelCase_=True      ,					**lowerCamelCase_      ,					) ->							Tuple:
														super().__init__(
														    lowerCamelCase_      ,					lowerCamelCase_      ,					tokenizer_file=lowerCamelCase_      ,					errors=lowerCamelCase_      ,					bos_token=lowerCamelCase_      ,					eos_token=lowerCamelCase_      ,					sep_token=lowerCamelCase_      ,					cls_token=lowerCamelCase_      ,					unk_token=lowerCamelCase_      ,					pad_token=lowerCamelCase_      ,					mask_token=lowerCamelCase_      ,					add_prefix_space=lowerCamelCase_      ,					trim_offsets=lowerCamelCase_      ,					**lowerCamelCase_      ,					)

														lowerCAmelCase__      =			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
														if pre_tok_state.get('''add_prefix_space'''      ,					lowerCamelCase_     ) != add_prefix_space:
																					lowerCAmelCase__      =			getattr(lowerCamelCase_      ,					pre_tok_state.pop('''type'''     )     )
																					lowerCAmelCase__      =			add_prefix_space
																					lowerCAmelCase__      =			pre_tok_class(**lowerCamelCase_     )

														lowerCAmelCase__      =			add_prefix_space

														lowerCAmelCase__      =			'''post_processor'''
														lowerCAmelCase__      =			getattr(self.backend_tokenizer      ,					lowerCamelCase_      ,					lowerCamelCase_     )
														if tokenizer_component_instance:
																					lowerCAmelCase__      =			json.loads(tokenizer_component_instance.__getstate__()     )

																					# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
																					if "sep" in state:
																												lowerCAmelCase__      =			tuple(state['''sep''']     )
																					if "cls" in state:
																												lowerCAmelCase__      =			tuple(state['''cls''']     )

																					lowerCAmelCase__      =			False

																					if state.get('''add_prefix_space'''      ,					lowerCamelCase_     ) != add_prefix_space:
																												lowerCAmelCase__      =			add_prefix_space
																												lowerCAmelCase__      =			True

																					if state.get('''trim_offsets'''      ,					lowerCamelCase_     ) != trim_offsets:
																												lowerCAmelCase__      =			trim_offsets
																												lowerCAmelCase__      =			True

																					if changes_to_apply:
																												lowerCAmelCase__      =			getattr(lowerCamelCase_      ,					state.pop('''type'''     )     )
																												lowerCAmelCase__      =			component_class(**lowerCamelCase_     )
																												setattr(self.backend_tokenizer      ,					lowerCamelCase_      ,					lowerCamelCase_     )







							@property
							def 						__SCREAMING_SNAKE_CASE							(	self     ) ->							str:
														if self._mask_token is None:
																					if self.verbose:
																												logger.error('''Using mask_token, but it is not set yet.'''     )
																					return None
														return str(self._mask_token     )







							@mask_token.setter
							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_     ) ->							Optional[Any]:
														lowerCAmelCase__      =			AddedToken(lowerCamelCase_      ,					lstrip=lowerCamelCase_      ,					rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_      ,					lowerCamelCase_     ) else value
														lowerCAmelCase__      =			value







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					*lowerCamelCase_      ,					**lowerCamelCase_     ) ->							BatchEncoding:
														lowerCAmelCase__      =			kwargs.get('''is_split_into_words'''      ,					lowerCamelCase_     )
														assert self.add_prefix_space or not is_split_into_words, (
														    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
														    "to use it with pretokenized inputs."
														)

														return super()._batch_encode_plus(*lowerCamelCase_      ,					**lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					*lowerCamelCase_      ,					**lowerCamelCase_     ) ->							BatchEncoding:
														lowerCAmelCase__      =			kwargs.get('''is_split_into_words'''      ,					lowerCamelCase_     )

														assert self.add_prefix_space or not is_split_into_words, (
														    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
														    "to use it with pretokenized inputs."
														)

														return super()._encode_plus(*lowerCamelCase_      ,					**lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = None     ) ->							Tuple[str]:
														lowerCAmelCase__      =			self._tokenizer.model.save(lowerCamelCase_      ,					name=lowerCamelCase_     )
														return tuple(lowerCamelCase_     )







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_=None     ) ->							Tuple:
														lowerCAmelCase__      =			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
														if token_ids_a is None:
																					return output

														return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







							def 						__SCREAMING_SNAKE_CASE							(	self      ,					lowerCamelCase_      ,					lowerCamelCase_ = None     ) ->							List[int]:
														lowerCAmelCase__      =			[self.sep_token_id]
														lowerCAmelCase__      =			[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]