

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


_UpperCAmelCase        =				'''▁'''



class 							_UpperCamelCase					(	SCREAMING_SNAKE_CASE__     ):
       _UpperCamelCase				:					Any         =   VOCAB_FILES_NAMES
       _UpperCamelCase				:					int         =   PRETRAINED_VOCAB_FILES_MAP
       _UpperCamelCase				:					Optional[Any]         =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _UpperCamelCase				:					List[Any]         =   BigBirdTokenizer
       _UpperCamelCase				:					Optional[int]         =   ['''input_ids''', '''attention_mask''']
       _UpperCamelCase				:					Dict         =   []

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




              """simple docstring"""


              UpperCamelCase_          =  AddedToken(_lowercase					,   lstrip=_lowercase					,   rstrip=_lowercase		) if isinstance(_lowercase					,   _lowercase		) else bos_token
              UpperCamelCase_          =  AddedToken(_lowercase					,   lstrip=_lowercase					,   rstrip=_lowercase		) if isinstance(_lowercase					,   _lowercase		) else eos_token
              UpperCamelCase_          =  AddedToken(_lowercase					,   lstrip=_lowercase					,   rstrip=_lowercase		) if isinstance(_lowercase					,   _lowercase		) else unk_token
              UpperCamelCase_          =  AddedToken(_lowercase					,   lstrip=_lowercase					,   rstrip=_lowercase		) if isinstance(_lowercase					,   _lowercase		) else pad_token
              UpperCamelCase_          =  AddedToken(_lowercase					,   lstrip=_lowercase					,   rstrip=_lowercase		) if isinstance(_lowercase					,   _lowercase		) else cls_token
              UpperCamelCase_          =  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_          =  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_          =  vocab_file
              UpperCamelCase_          =  False if not self.vocab_file else True

       def lowercase (		self: Tuple					,   _SCREAMING_SNAKE_CASE: Optional[Any]					,   _SCREAMING_SNAKE_CASE: List[str] = None		)       -> List[int]:




              """simple docstring"""


              UpperCamelCase_          =  [self.sep_token_id]
              UpperCamelCase_          =  [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: Tuple					,   _SCREAMING_SNAKE_CASE: Union[str, Any]					,   _SCREAMING_SNAKE_CASE: Any = None					,   _SCREAMING_SNAKE_CASE: Union[str, Any] = 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 lowercase (		self: Union[str, Any]					,   _SCREAMING_SNAKE_CASE: List[Any]					,   _SCREAMING_SNAKE_CASE: Dict = None		)       -> List[int]:




              """simple docstring"""


              UpperCamelCase_          =  [self.sep_token_id]
              UpperCamelCase_          =  [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: int					,   _SCREAMING_SNAKE_CASE: List[str]					,   _SCREAMING_SNAKE_CASE: Any = 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_          =  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,)








from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


_UpperCAmelCase        =				logging.get_logger(__name__)

_UpperCAmelCase        =				{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

_UpperCAmelCase        =				{
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

_UpperCAmelCase        =				{
    'facebook/blenderbot_small-90M': 5_1_2,
}



class 							_UpperCamelCase					(	lowerCAmelCase_     ):
       _UpperCamelCase				:					Optional[Any]         =   VOCAB_FILES_NAMES
       _UpperCamelCase				:					str         =   PRETRAINED_VOCAB_FILES_MAP
       _UpperCamelCase				:					List[Any]         =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _UpperCamelCase				:					str         =   BlenderbotSmallTokenizer

       def __init__(		self: Dict					,   _SCREAMING_SNAKE_CASE: Optional[int]=None					,   _SCREAMING_SNAKE_CASE: List[str]=None					,   _SCREAMING_SNAKE_CASE: Optional[int]="<|endoftext|>"					,   _SCREAMING_SNAKE_CASE: List[Any]="<|endoftext|>"					,   _SCREAMING_SNAKE_CASE: List[str]="<|endoftext|>"					,   _SCREAMING_SNAKE_CASE: Optional[Any]=False					,   _SCREAMING_SNAKE_CASE: int=True					,   **_SCREAMING_SNAKE_CASE: Optional[int]					,   )       -> int:




              """simple docstring"""


              super().__init__(
                  ByteLevelBPETokenizer(
                      vocab=_SCREAMING_SNAKE_CASE					,   merges=_SCREAMING_SNAKE_CASE					,   add_prefix_space=_SCREAMING_SNAKE_CASE					,   trim_offsets=_SCREAMING_SNAKE_CASE					,   )					,   bos_token=_SCREAMING_SNAKE_CASE					,   eos_token=_SCREAMING_SNAKE_CASE					,   unk_token=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE					,   )
              UpperCamelCase_          =  add_prefix_space

       def lowercase (		self: Any					,   _SCREAMING_SNAKE_CASE: Any					,   _SCREAMING_SNAKE_CASE: Any=None		)       -> List[str]:




              """simple docstring"""


              UpperCamelCase_          =  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
              if token_ids_a is None:
                     return output

              return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]



       def lowercase (		self: int					,   _SCREAMING_SNAKE_CASE: List[int]					,   _SCREAMING_SNAKE_CASE: Optional[List[int]] = None		)       -> List[int]:




              """simple docstring"""


              UpperCamelCase_          =  [self.sep_token_id]
              UpperCamelCase_          =  [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 + sep + token_ids_a + sep		) * [0]

