

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:
					lowercase  :							Optional[int]	   =							None

lowercase  :							Tuple	   =							logging.get_logger(__name__)
lowercase  :							Optional[Any]	   =							{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

lowercase  :							Optional[Any]	   =							{
    "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"
        ),
    },
}

lowercase  :							Dict	   =							{
    "google/bigbird-roberta-base": 4096,
    "google/bigbird-roberta-large": 4096,
    "google/bigbird-base-trivia-itc": 4096,
}


lowercase  :							Dict	   =							"▁"
class 		SCREAMING_SNAKE_CASE__       (		SCREAMING_SNAKE_CASE__ ):







						"""simple docstring"""




						lowercase	:					List[Any]           =				VOCAB_FILES_NAMES
						lowercase	:					Dict           =				PRETRAINED_VOCAB_FILES_MAP
						lowercase	:					int           =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowercase	:					Union[str, Any]           =				BigBirdTokenizer
						lowercase	:					List[str]           =				['input_ids', 'attention_mask']
						lowercase	:					List[str]           =				[]

						def __init__(					self			,			__UpperCamelCase=None			,			__UpperCamelCase=None			,			__UpperCamelCase="<unk>"			,			__UpperCamelCase="<s>"			,			__UpperCamelCase="</s>"			,			__UpperCamelCase="<pad>"			,			__UpperCamelCase="[SEP]"			,			__UpperCamelCase="[MASK]"			,			__UpperCamelCase="[CLS]"			,			**__UpperCamelCase			,			)				->						Any:




									'''simple docstring'''


									__UpperCamelCase     :     List[Any]										=   AddedToken(_lowercase			,			lstrip=_lowercase			,			rstrip=_lowercase     ) if isinstance(_lowercase			,			_lowercase     ) else bos_token
									__UpperCamelCase     :     Optional[Any]										=   AddedToken(_lowercase			,			lstrip=_lowercase			,			rstrip=_lowercase     ) if isinstance(_lowercase			,			_lowercase     ) else eos_token
									__UpperCamelCase     :     Any										=   AddedToken(_lowercase			,			lstrip=_lowercase			,			rstrip=_lowercase     ) if isinstance(_lowercase			,			_lowercase     ) else unk_token
									__UpperCamelCase     :     Any										=   AddedToken(_lowercase			,			lstrip=_lowercase			,			rstrip=_lowercase     ) if isinstance(_lowercase			,			_lowercase     ) else pad_token
									__UpperCamelCase     :     Tuple										=   AddedToken(_lowercase			,			lstrip=_lowercase			,			rstrip=_lowercase     ) if isinstance(_lowercase			,			_lowercase     ) else cls_token
									__UpperCamelCase     :     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
									__UpperCamelCase     :     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			,			)

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

						def __lowerCamelCase       (					self			,			__UpperCamelCase			,			__UpperCamelCase = None     )				->						List[int]:




									'''simple docstring'''


									__UpperCamelCase     :     str										=   [self.sep_token_id]
									__UpperCamelCase     :     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 __lowerCamelCase       (					self			,			__UpperCamelCase			,			__UpperCamelCase = None			,			__UpperCamelCase = False     )				->						List[int]:




									'''simple docstring'''


									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 __lowerCamelCase       (					self			,			__UpperCamelCase			,			__UpperCamelCase = None     )				->						List[int]:




									'''simple docstring'''


									__UpperCamelCase     :     List[str]										=   [self.sep_token_id]
									__UpperCamelCase     :     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 __lowerCamelCase       (					self			,			__UpperCamelCase			,			__UpperCamelCase = None     )				->						Tuple[str]:




									'''simple docstring'''


									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
									__UpperCamelCase     :     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"]		)



