





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:
	_lowerCamelCase 					=      None

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

_lowerCamelCase 					=      {
    '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'
        ),
    },
}

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


_lowerCamelCase 					=      '▁'




class 	UpperCamelCase_							(  UpperCamelCase__     ):
							lowerCamelCase_							     =       VOCAB_FILES_NAMES
							lowerCamelCase_							     =       PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase_							     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase_							     =       BigBirdTokenizer
							lowerCamelCase_							     =       ["input_ids", "attention_mask"]
							lowerCamelCase_							     =       []


							def __init__(				self     :str				,					__A     :Tuple=None				,					__A     :Optional[Any]=None				,					__A     :Any="<unk>"				,					__A     :Any="<s>"				,					__A     :Union[str, Any]="</s>"				,					__A     :List[str]="<pad>"				,					__A     :Optional[Any]="[SEP]"				,					__A     :str="[MASK]"				,					__A     :Optional[Any]="[CLS]"				,					**__A     :Union[str, Any]				,					) -> List[Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   AddedToken(__A				,					lstrip=__A				,					rstrip=__A		) if isinstance(__A				,					__A		) else bos_token
									SCREAMING_SNAKE_CASE__								=   AddedToken(__A				,					lstrip=__A				,					rstrip=__A		) if isinstance(__A				,					__A		) else eos_token
									SCREAMING_SNAKE_CASE__								=   AddedToken(__A				,					lstrip=__A				,					rstrip=__A		) if isinstance(__A				,					__A		) else unk_token
									SCREAMING_SNAKE_CASE__								=   AddedToken(__A				,					lstrip=__A				,					rstrip=__A		) if isinstance(__A				,					__A		) else pad_token
									SCREAMING_SNAKE_CASE__								=   AddedToken(__A				,					lstrip=__A				,					rstrip=__A		) if isinstance(__A				,					__A		) else cls_token
									SCREAMING_SNAKE_CASE__								=   AddedToken(__A				,					lstrip=__A				,					rstrip=__A		) if isinstance(__A				,					__A		) else sep_token

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

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

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


							def   _snake_case	(				self     :List[Any]				,					__A     :List[int]				,					__A     :Optional[List[int]] = None		) -> List[int]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   [self.sep_token_id]
									SCREAMING_SNAKE_CASE__								=   [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   _snake_case	(				self     :Optional[int]				,					__A     :List[int]				,					__A     :Optional[List[int]] = None				,					__A     :bool = 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(__A		)) + [1]
									return [1] + ([0] * len(__A		)) + [1] + ([0] * len(__A		)) + [1]


							def   _snake_case	(				self     :Optional[Any]				,					__A     :List[int]				,					__A     :Optional[List[int]] = None		) -> List[int]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   [self.sep_token_id]
									SCREAMING_SNAKE_CASE__								=   [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   _snake_case	(				self     :int				,					__A     :str				,					__A     :Optional[str] = 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(__A		):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''		)
											return
									SCREAMING_SNAKE_CASE__								=   os.path.join(
									    __A				,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)

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

									return (out_vocab_file,)






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCamelCase 					=      logging.get_logger(__name__)




class 	UpperCamelCase_							(  UpperCamelCase__     ):
							lowerCamelCase_							     =       "encoder-decoder"
							lowerCamelCase_							     =       True


							def __init__(				self     :Optional[int]				,					**__A     :str		) -> int:



									"""simple docstring"""



									super().__init__(**__A		)
									assert (
									    "encoder" in kwargs and "decoder" in kwargs
									), "Config has to be initialized with encoder and decoder config"
									SCREAMING_SNAKE_CASE__								=   kwargs.pop("""encoder"""		)
									SCREAMING_SNAKE_CASE__								=   encoder_config.pop("""model_type"""		)
									SCREAMING_SNAKE_CASE__								=   kwargs.pop("""decoder"""		)
									SCREAMING_SNAKE_CASE__								=   decoder_config.pop("""model_type"""		)

									from ..auto.configuration_auto import AutoConfig

									SCREAMING_SNAKE_CASE__								=   AutoConfig.for_model(__A				,					**__A		)
									SCREAMING_SNAKE_CASE__								=   AutoConfig.for_model(__A				,					**__A		)
									SCREAMING_SNAKE_CASE__								=   True


							@classmethod
							def   _snake_case	(				cls     :str				,					__A     :PretrainedConfig				,					__A     :PretrainedConfig				,					**__A     :List[str]		) -> PretrainedConfig:



									"""simple docstring"""



									logger.info("""Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""		)
									SCREAMING_SNAKE_CASE__								=   True
									SCREAMING_SNAKE_CASE__								=   True

									return cls(encoder=encoder_config.to_dict()				,					decoder=decoder_config.to_dict()				,					**__A		)


							def   _snake_case	(				self     :str		) -> Union[str, Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   copy.deepcopy(self.__dict__		)
									SCREAMING_SNAKE_CASE__								=   self.encoder.to_dict()
									SCREAMING_SNAKE_CASE__								=   self.decoder.to_dict()
									SCREAMING_SNAKE_CASE__								=   self.__class__.model_type
									return output