




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:
       SCREAMING_SNAKE_CASE__			: str    =  None

SCREAMING_SNAKE_CASE__			: Optional[int]    =  logging.get_logger(__name__)
SCREAMING_SNAKE_CASE__			: Tuple    =  {'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE__			: Dict    =  {
    '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'
        ),
    },
}

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


SCREAMING_SNAKE_CASE__			: Any    =  '▁'




class 						UpperCamelCase__      (_a	):

    '''simple docstring'''



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







    def __init__(       self	,    UpperCamelCase__=None	,    UpperCamelCase__=None	,    UpperCamelCase__="<unk>"	,    UpperCamelCase__="<s>"	,    UpperCamelCase__="</s>"	,    UpperCamelCase__="<pad>"	,    UpperCamelCase__="[SEP]"	,    UpperCamelCase__="[MASK]"	,    UpperCamelCase__="[CLS]"	,    **UpperCamelCase__	,    )	-> List[Any]:
           lowerCamelCase  : Union[str, Any]     					=   AddedToken(__lowerCAmelCase	,    lstrip=__lowerCAmelCase	,    rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,    __lowerCAmelCase	) else bos_token
           lowerCamelCase  : List[str]     					=   AddedToken(__lowerCAmelCase	,    lstrip=__lowerCAmelCase	,    rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,    __lowerCAmelCase	) else eos_token
           lowerCamelCase  : Optional[int]     					=   AddedToken(__lowerCAmelCase	,    lstrip=__lowerCAmelCase	,    rstrip=__lowerCAmelCase	) if isinstance(__lowerCAmelCase	,    __lowerCAmelCase	) else unk_token
           lowerCamelCase  : Tuple     					=   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  : Union[str, Any]     					=   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  : Dict     					=   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  : str     					=   vocab_file
           lowerCamelCase  : Optional[int]     					=   False if not self.vocab_file else True







    def        _lowercase	(       self	,    UpperCamelCase__	,    UpperCamelCase__ = None	)	-> List[Any]:
           lowerCamelCase  : Any     					=   [self.sep_token_id]
           lowerCamelCase  : Optional[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        _lowercase	(       self	,    UpperCamelCase__	,    UpperCamelCase__ = None	,    UpperCamelCase__ = False	)	-> Tuple:

           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	,    UpperCamelCase__	,    UpperCamelCase__ = None	)	-> Optional[Any]:
           lowerCamelCase  : Optional[int]     					=   [self.sep_token_id]
           lowerCamelCase  : Tuple     					=   [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	,    UpperCamelCase__	,    UpperCamelCase__ = None	)	-> Optional[int]:
           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  : int     					=   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,)













import os

import pytest

from transformers.dynamic_module_utils import get_imports


UpperCamelCase__           =			"\nimport os\n"

UpperCamelCase__           =			"\ndef foo():\n    import os\n    return False\n"

UpperCamelCase__           =			"\ndef foo():\n    def bar():\n        if True:\n            import os\n        return False\n    return bar()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ndef foo():\n    try:\n        import bar\n    except ImportError:\n        raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept (ImportError, AttributeError):\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept ImportError as e:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    raise ValueError()\n"

UpperCamelCase__           =			"\nimport os\n\ntry:\n    import bar\n    import baz\nexcept ImportError:\n    x = 1\n    raise ValueError()\n"

UpperCamelCase__           =			[
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]





@pytest.mark.parametrize("""case""" ,      a__							)
def      _UpperCamelCase  (a__ :Any ,      a__ :Optional[Any]							):






							"""simple docstring"""





							UpperCamelCase__					  =      os.path.join(a__ ,      """test_file.py"""							)
							with open(a__ ,      """w"""							) as _tmp_file:
														_tmp_file.write(a__							)

							UpperCamelCase__					  =      get_imports(a__							)
							assert parsed_imports == ["os"]




