





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_camembert import CamembertTokenizer
else:
    snake_case_				=			None


snake_case_				=			logging.get_logger(__name__)

snake_case_				=			{'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

snake_case_				=			{
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

snake_case_				=			{
    'camembert-base': 512,
}

snake_case_				=			'▁'

class 		SCREAMING_SNAKE_CASE__				(       _UpperCAmelCase  ):
      A_						:				str							=    VOCAB_FILES_NAMES
      A_						:				List[Any]							=    PRETRAINED_VOCAB_FILES_MAP
      A_						:				Any							=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      A_						:				Optional[int]							=    ['input_ids', 'attention_mask']
      A_						:				Union[str, Any]							=    CamembertTokenizer


      def __init__(self       :      List[Any]				,			a__       :      Tuple=None				,			a__       :      Dict=None				,			a__       :      List[str]="<s>"				,			a__       :      Union[str, Any]="</s>"				,			a__       :      Union[str, Any]="</s>"				,			a__       :      int="<s>"				,			a__       :      Optional[Any]="<unk>"				,			a__       :      Optional[int]="<pad>"				,			a__       :      Optional[Any]="<mask>"				,			a__       :      Optional[Any]=["<s>NOTUSED", "</s>NOTUSED"]				,			**a__       :      Any				,			):





         """simple docstring"""



         __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__				,			sep_token=a__				,			cls_token=a__				,			unk_token=a__				,			pad_token=a__				,			mask_token=a__				,			additional_special_tokens=a__				,			**a__				,			)

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


      def    a (self       :      Optional[int]				,			a__       :      List[int]				,			a__       :      Optional[List[int]] = None      ):





         """simple docstring"""



         if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         __snake_case							       =   [self.cls_token_id]
         __snake_case							       =   [self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep


      def    a (self       :      Dict				,			a__       :      List[int]				,			a__       :      Optional[List[int]] = None      ):





         """simple docstring"""



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


      def    a (self       :      str				,			a__       :      str				,			a__       :      Optional[str] = None      ):





         """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
         __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 os

import pytest

from transformers.dynamic_module_utils import get_imports


snake_case_				=			'\nimport os\n'

snake_case_				=			'\ndef foo():\n    import os\n    return False\n'

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

snake_case_				=			'\nimport os\n\ntry:\n    import bar\nexcept ImportError:\n    raise ValueError()\n'

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

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

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

snake_case_				=			'\nimport os\n\ntry:\n    import bar\nexcept:\n    raise ValueError()\n'

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

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

snake_case_				=			[
    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'''       ,      snake_case_       )
def lowerCamelCase__    (							snake_case_	:  str       ,      snake_case_	:  Optional[int]       )      ->				Dict:
   __snake_case							       =   os.path.join(snake_case_       ,      '''test_file.py'''       )
   with open(snake_case_       ,      '''w'''       ) as _tmp_file:
      _tmp_file.write(snake_case_       )

   __snake_case							       =   get_imports(snake_case_       )
   assert parsed_imports == ["os"]

