


"""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_longformer import LongformerTokenizer


__a			 =   logging.get_logger(__name__)

__a			 =   {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

__a			 =   {
    "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"
        ),
    },
    "tokenizer_file": {
        "allenai/longformer-base-4096": (
            "https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096": (
            "https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096-finetuned-triviaqa": (
            "https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-base-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
        ),
        "allenai/longformer-large-4096-extra.pos.embd.only": (
            "https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json"
        ),
    },
}

__a			 =   {
    "allenai/longformer-base-4096": 40_96,
    "allenai/longformer-large-4096": 40_96,
    "allenai/longformer-large-4096-finetuned-triviaqa": 40_96,
    "allenai/longformer-base-4096-extra.pos.embd.only": 40_96,
    "allenai/longformer-large-4096-extra.pos.embd.only": 40_96,
}
class 							lowerCamelCase       (			__SCREAMING_SNAKE_CASE ):


							"""simple docstring"""
							SCREAMING_SNAKE_CASE										=      VOCAB_FILES_NAMES
							SCREAMING_SNAKE_CASE										=      PRETRAINED_VOCAB_FILES_MAP
							SCREAMING_SNAKE_CASE										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							SCREAMING_SNAKE_CASE										=      ["""input_ids""", """attention_mask"""]
							SCREAMING_SNAKE_CASE										=      LongformerTokenizer






							def __init__(						self :     Optional[int]		, lowerCamelCase_ :     Optional[Any]=None		, lowerCamelCase_ :     Optional[Any]=None		, lowerCamelCase_ :     Union[str, Any]=None		, lowerCamelCase_ :     Union[str, Any]="replace"		, lowerCamelCase_ :     Optional[Any]="<s>"		, lowerCamelCase_ :     Optional[int]="</s>"		, lowerCamelCase_ :     str="</s>"		, lowerCamelCase_ :     List[str]="<s>"		, lowerCamelCase_ :     List[Any]="<unk>"		, lowerCamelCase_ :     str="<pad>"		, lowerCamelCase_ :     Optional[Any]="<mask>"		, lowerCamelCase_ :     str=False		, lowerCamelCase_ :     Optional[Any]=True		, **lowerCamelCase_ :     Dict		, ):
													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_		, )

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

													UpperCAmelCase__		=    add_prefix_space

													UpperCAmelCase__		=    '''post_processor'''
													UpperCAmelCase__		=    getattr(self.backend_tokenizer		, lowerCamelCase_		, lowerCamelCase_				)
													if tokenizer_component_instance:
																			UpperCAmelCase__		=    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:
																									UpperCAmelCase__		=    tuple(state['''sep''']				)
																			if "cls" in state:
																									UpperCAmelCase__		=    tuple(state['''cls''']				)

																			UpperCAmelCase__		=    False

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

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

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






							@property
							def 					lowerCAmelCase     (						self :     int				):
													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 					lowerCAmelCase     (						self :     Union[str, Any]		, lowerCamelCase_ :     Optional[Any]				):
													UpperCAmelCase__		=    AddedToken(lowerCamelCase_		, lstrip=lowerCamelCase_		, rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_		, lowerCamelCase_				) else value
													UpperCAmelCase__		=    value






							def 					lowerCAmelCase     (						self :     Tuple		, *lowerCamelCase_ :     List[Any]		, **lowerCamelCase_ :     Tuple				):
													UpperCAmelCase__		=    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 					lowerCAmelCase     (						self :     List[Any]		, *lowerCamelCase_ :     List[str]		, **lowerCamelCase_ :     int				):
													UpperCAmelCase__		=    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 					lowerCAmelCase     (						self :     Union[str, Any]		, lowerCamelCase_ :     str		, lowerCamelCase_ :     Optional[str] = None				):
													UpperCAmelCase__		=    self._tokenizer.model.save(lowerCamelCase_		, name=lowerCamelCase_				)
													return tuple(lowerCamelCase_				)






							def 					lowerCAmelCase     (						self :     Tuple		, lowerCamelCase_ :     Optional[Any]		, lowerCamelCase_ :     Tuple=None				):
													UpperCAmelCase__		=    [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 					lowerCAmelCase     (						self :     Union[str, Any]		, lowerCamelCase_ :     List[int]		, lowerCamelCase_ :     Optional[List[int]] = None				):
													UpperCAmelCase__		=    [self.sep_token_id]
													UpperCAmelCase__		=    [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]



"""simple docstring"""







import safs
class 							lowerCamelCase       (			safs.SaFileSystem ):


							"""simple docstring"""