



"""simple docstring"""







import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_big_bird import BigBirdTokenizer
else:
			A		=						None

A		=						logging.get_logger(__name__)
A		=						{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

A		=						{
    'vocab_file': {
        'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model',
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'
        ),
    },
    'tokenizer_file': {
        'google/bigbird-roberta-base': (
            'https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json'
        ),
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json'
        ),
    },
}

A		=						{
    'google/bigbird-roberta-base': 4_0_9_6,
    'google/bigbird-roberta-large': 4_0_9_6,
    'google/bigbird-base-trivia-itc': 4_0_9_6,
}


A		=						'▁'

class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     VOCAB_FILES_NAMES
			__magic_name__     					=     PRETRAINED_VOCAB_FILES_MAP
			__magic_name__     					=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__magic_name__     					=     BigBirdTokenizer
			__magic_name__     					=     ["""input_ids""", """attention_mask"""]
			__magic_name__     					=     []



			def __init__(			self							:				int   ,	_lowercase							:				Union[str, Any]=None   ,	_lowercase							:				Union[str, Any]=None   ,	_lowercase							:				int="<unk>"   ,	_lowercase							:				Union[str, Any]="<s>"   ,	_lowercase							:				Union[str, Any]="</s>"   ,	_lowercase							:				Union[str, Any]="<pad>"   ,	_lowercase							:				Union[str, Any]="[SEP]"   ,	_lowercase							:				str="[MASK]"   ,	_lowercase							:				Dict="[CLS]"   ,	**_lowercase							:				Any   ,	)							->					Any:
									snake_case   :			List[Any]						    = AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		) if isinstance(_lowercase   ,	_lowercase		) else bos_token
									snake_case   :			Optional[Any]						    = AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		) if isinstance(_lowercase   ,	_lowercase		) else eos_token
									snake_case   :			Any						    = AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		) if isinstance(_lowercase   ,	_lowercase		) else unk_token
									snake_case   :			Any						    = AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		) if isinstance(_lowercase   ,	_lowercase		) else pad_token
									snake_case   :			Tuple						    = AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		) if isinstance(_lowercase   ,	_lowercase		) else cls_token
									snake_case   :			Tuple						    = AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		) if isinstance(_lowercase   ,	_lowercase		) else sep_token

									# Mask token behave like a normal word, i.e. include the space before it
									snake_case   :			Optional[Any]						    = AddedToken(_lowercase   ,	lstrip=_lowercase   ,	rstrip=_lowercase		) if isinstance(_lowercase   ,	_lowercase		) else mask_token

									super().__init__(
									    _lowercase   ,	tokenizer_file=_lowercase   ,	bos_token=_lowercase   ,	eos_token=_lowercase   ,	unk_token=_lowercase   ,	sep_token=_lowercase   ,	pad_token=_lowercase   ,	cls_token=_lowercase   ,	mask_token=_lowercase   ,	**_lowercase   ,	)

									snake_case   :			Dict						    = vocab_file
									snake_case   :			List[Any]						    = False if not self.vocab_file else True



			def 				__lowercase					(			self							:				Dict   ,	_lowercase							:				List[int]   ,	_lowercase							:				Optional[List[int]] = None		)							->					List[int]:
									snake_case   :			str						    = [self.sep_token_id]
									snake_case   :			Union[str, Any]						    = [self.cls_token_id]
									if token_ids_a is None:
															return cls + token_ids_a + sep
									return cls + token_ids_a + sep + token_ids_a + sep



			def 				__lowercase					(			self							:				Dict   ,	_lowercase							:				List[int]   ,	_lowercase							:				Optional[List[int]] = None   ,	_lowercase							:				bool = False		)							->					List[int]:

									if already_has_special_tokens:
															if token_ids_a is not None:
																					raise ValueError(
																					    "You should not supply a second sequence if the provided sequence of "
																					    "ids is already formatted with special tokens for the model."		)
															return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

									if token_ids_a is None:
															return [1] + ([0] * len(_lowercase		)) + [1]
									return [1] + ([0] * len(_lowercase		)) + [1] + ([0] * len(_lowercase		)) + [1]



			def 				__lowercase					(			self							:				List[str]   ,	_lowercase							:				List[int]   ,	_lowercase							:				Optional[List[int]] = None		)							->					List[int]:
									snake_case   :			List[str]						    = [self.sep_token_id]
									snake_case   :			Dict						    = [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		) * [0] + len(token_ids_a + sep		) * [1]



			def 				__lowercase					(			self							:				str   ,	_lowercase							:				str   ,	_lowercase							:				Optional[str] = None		)							->					Tuple[str]:
									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(_lowercase		):
															logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''		)
															return
									snake_case   :			Union[str, Any]						    = os.path.join(
									    _lowercase   ,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

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

									return (out_vocab_file,)








"""simple docstring"""







from ..utils import DummyObject, requires_backends

class       _a  ( metaclass=SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     ["""keras_nlp"""]



			def __init__(			self							:				int   ,	*_lowercase							:				Optional[int]   ,	**_lowercase							:				Dict		)							->					List[Any]:
									requires_backends(self   ,	["keras_nlp"]		)



