

"""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': 40_96,
    'google/bigbird-roberta-large': 40_96,
    'google/bigbird-base-trivia-itc': 40_96,
}


_a       =							'▁'




class 					_lowerCAmelCase  (	lowercase   ):







 """simple docstring"""







 __UpperCAmelCase	:					int   		=	VOCAB_FILES_NAMES
 __UpperCAmelCase	:					List[str]   		=	PRETRAINED_VOCAB_FILES_MAP
 __UpperCAmelCase	:					Optional[int]   		=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __UpperCAmelCase	:					List[Any]   		=	BigBirdTokenizer
 __UpperCAmelCase	:					int   		=	["input_ids", "attention_mask"]
 __UpperCAmelCase	:					List[int]   		=	[]


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

    # Mask token behave like a normal word, i.e. include the space before it
    __lowercase								=						AddedToken(UpperCAmelCase__,					lstrip=UpperCAmelCase__,					rstrip=UpperCAmelCase__	) if isinstance(UpperCAmelCase__,					UpperCAmelCase__	) else mask_token

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

    __lowercase								=						vocab_file
    __lowercase								=						False if not self.vocab_file else True


 def 					_lowercase (			self							:			List[Any],					UpperCAmelCase__							:			List[int],					UpperCAmelCase__							:			Optional[List[int]] = None	):
    __lowercase								=						[self.sep_token_id]
    __lowercase								=						[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							:			Any,					UpperCAmelCase__							:			List[int],					UpperCAmelCase__							:			Optional[List[int]] = None,					UpperCAmelCase__							:			bool = False	):

    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(UpperCAmelCase__	)) + [1]
    return [1] + ([0] * len(UpperCAmelCase__	)) + [1] + ([0] * len(UpperCAmelCase__	)) + [1]


 def 					_lowercase (			self							:			str,					UpperCAmelCase__							:			List[int],					UpperCAmelCase__							:			Optional[List[int]] = None	):
    __lowercase								=						[self.sep_token_id]
    __lowercase								=						[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							:			Optional[int],					UpperCAmelCase__							:			str,					UpperCAmelCase__							:			Optional[str] = None	):
    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(UpperCAmelCase__	):
       logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""	)
       return
    __lowercase								=						os.path.join(
        UpperCAmelCase__,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]	)

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

    return (out_vocab_file,)







"""simple docstring"""





import baseaa




def   _A  (  UpperCamelCase_     :       str)	->						bytes:
   '''simple docstring'''


   return baseaa.baaencode(string.encode("utf-8"))




def   _A  (  UpperCamelCase_     :       bytes)	->						str:
   '''simple docstring'''


   return baseaa.baadecode(UpperCamelCase_).decode("utf-8")


if __name__ == "__main__":
   _a       =							'Hello World!'
   _a       =							baseaa_encode(test)
   print(encoded)

   _a       =							baseaa_decode(encoded)
   print(decoded)




