




'''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


_SCREAMING_SNAKE_CASE =	logging.get_logger(__name__)

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

_SCREAMING_SNAKE_CASE =	{
    "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"
        ),
    },
}

_SCREAMING_SNAKE_CASE =	{
    "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      __UpperCAmelCase							(    lowerCAmelCase							):



					'''simple docstring'''





					_UpperCamelCase  	=		VOCAB_FILES_NAMES
					_UpperCamelCase  	=		PRETRAINED_VOCAB_FILES_MAP
					_UpperCamelCase  	=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					_UpperCamelCase  	=		["""input_ids""", """attention_mask"""]
					_UpperCamelCase  	=		LongformerTokenizer



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

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

								A_       		=   add_prefix_space

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

											A_       		=   False

											if state.get('add_prefix_space'			,					_lowercase) != add_prefix_space:
														A_       		=   add_prefix_space
														A_       		=   True

											if state.get('trim_offsets'			,					_lowercase) != trim_offsets:
														A_       		=   trim_offsets
														A_       		=   True

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



					@property
					def 						__snake_case	(  self    :	int)						->       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 						__snake_case	(  self    :	Tuple			,					_lowercase    :	Union[str, Any])						->       Union[str, Any]:
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else value
								A_       		=   value



					def 						__snake_case	(  self    :	Union[str, Any]			,					*_lowercase    :	List[Any]			,					**_lowercase    :	Tuple)						->       BatchEncoding:
								A_       		=   kwargs.get('is_split_into_words'			,					_lowercase)
								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(*_lowercase			,					**_lowercase)



					def 						__snake_case	(  self    :	List[str]			,					*_lowercase    :	List[Any]			,					**_lowercase    :	Any)						->       BatchEncoding:
								A_       		=   kwargs.get('is_split_into_words'			,					_lowercase)

								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(*_lowercase			,					**_lowercase)



					def 						__snake_case	(  self    :	Optional[Any]			,					_lowercase    :	str			,					_lowercase    :	Optional[str] = None)						->       Tuple[str]:
								A_       		=   self._tokenizer.model.save(_lowercase			,					name=_lowercase)
								return tuple(_lowercase)



					def 						__snake_case	(  self    :	Any			,					_lowercase    :	int			,					_lowercase    :	Tuple=None)						->       Optional[Any]:
								A_       		=   [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 						__snake_case	(  self    :	str			,					_lowercase    :	List[int]			,					_lowercase    :	Optional[List[int]] = None)						->       List[int]:
								A_       		=   [self.sep_token_id]
								A_       		=   [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'''
def  lowerCamelCase(       SCREAMING_SNAKE_CASE_    )		->		int:

			if not isinstance(SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    ) or number < 0:
						raise ValueError('Input must be a non-negative integer'    )

			A_       		=   number & ~(number - 1)
			A_       		=   0
			while intermediate:
						intermediate >>= 1
						index += 1
			return index - 1


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)




