





"""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:
							_UpperCamelCase							=      None

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

_UpperCamelCase							=      {
    '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'
        ),
    },
}

_UpperCamelCase							=      {
    'google/bigbird-roberta-base': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}


_UpperCamelCase							=      '▁'
class 		SCREAMING_SNAKE_CASE_							(    __a   ):
				__snake_case   :       Optional[int]	 =		VOCAB_FILES_NAMES
				__snake_case   :       List[str]	 =		PRETRAINED_VOCAB_FILES_MAP
				__snake_case   :       Dict	 =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__snake_case   :       int	 =		BigBirdTokenizer
				__snake_case   :       List[Any]	 =		["input_ids", "attention_mask"]
				__snake_case   :       List[int]	 =		[]




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

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

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

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




				def 					__lowercase  (     self  :Any						,    __lowercase  :Dict						,    __lowercase  :List[Any] = None			):
											__lowerCamelCase      :      str         =[self.sep_token_id]
											__lowerCamelCase      :      str         =[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  :Optional[int]						,    __lowercase  :Any						,    __lowercase  :Optional[Any] = None						,    __lowercase  :Optional[Any] = 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(lowerCAmelCase_			)) + [1]
											return [1] + ([0] * len(lowerCAmelCase_			)) + [1] + ([0] * len(lowerCAmelCase_			)) + [1]




				def 					__lowercase  (     self  :Union[str, Any]						,    __lowercase  :List[Any]						,    __lowercase  :str = None			):
											__lowerCamelCase      :      Tuple         =[self.sep_token_id]
											__lowerCamelCase      :      List[str]         =[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  :Dict						,    __lowercase  :List[Any]						,    __lowercase  :Optional[Any] = 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(lowerCAmelCase_			):
																		logger.error(f'Vocabulary path ({save_directory}) should be a directory'			)
																		return
											__lowerCamelCase      :      Tuple         =os.path.join(
											    lowerCAmelCase_						,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)

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

											return (out_vocab_file,)











"""simple docstring"""





from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments




