





import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(""".""")




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     int:
  lowercase__			    =						test_file.split(os.path.sep	)
  if components[0:2] != ["tests", "models"]:
    raise ValueError(
        '`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got '
        F"""{test_file} instead."""	)
  lowercase__			    =						components[-1]
  if not test_fn.endswith('py'	):
    raise ValueError(F"""`test_file` should be a python file. Got {test_fn} instead."""	)
  if not test_fn.startswith('test_modeling_'	):
    raise ValueError(
        F"""`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead."""	)

  lowercase__			    =						components[:-1] + [test_fn.replace('.py'	,		''	)]
  lowercase__			    =						'.'.join(_SCREAMING_SNAKE_CASE	)

  return test_module_path




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     List[str]:
  lowercase__			    =						get_module_path(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						importlib.import_module(_SCREAMING_SNAKE_CASE	)

  return test_module




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Tuple:
  lowercase__			    =						[]
  lowercase__			    =						get_test_module(_SCREAMING_SNAKE_CASE	)
  for attr in dir(_SCREAMING_SNAKE_CASE	):
    if attr.endswith('ModelTester'	):
      tester_classes.append(getattr(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)	)

    # sort with class names
  return sorted(_SCREAMING_SNAKE_CASE	,		key=lambda _SCREAMING_SNAKE_CASE	: x.__name__	)




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Tuple:
  lowercase__			    =						[]
  lowercase__			    =						get_test_module(_SCREAMING_SNAKE_CASE	)
  for attr in dir(_SCREAMING_SNAKE_CASE	):
    lowercase__			    =						getattr(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)
    # (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
    # `all_model_classes` is not empty (which also excludes other special classes).
    lowercase__			    =						getattr(_SCREAMING_SNAKE_CASE	,		'all_model_classes'	,		[]	)
    if len(_SCREAMING_SNAKE_CASE	) > 0:
      test_classes.append(_SCREAMING_SNAKE_CASE	)

    # sort with class names
  return sorted(_SCREAMING_SNAKE_CASE	,		key=lambda _SCREAMING_SNAKE_CASE	: x.__name__	)




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Union[str, Any]:
  lowercase__			    =						get_test_classes(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						set()
  for test_class in test_classes:
    model_classes.update(test_class.all_model_classes	)

  # sort with class names
  return sorted(_SCREAMING_SNAKE_CASE	,		key=lambda _SCREAMING_SNAKE_CASE	: x.__name__	)




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Union[str, Any]:
  lowercase__			    =						test_class()
  if hasattr(_SCREAMING_SNAKE_CASE	,		'setUp'	):
    test.setUp()

  lowercase__			    =						None
  if hasattr(_SCREAMING_SNAKE_CASE	,		'model_tester'	):
    # `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
    if test.model_tester is not None:
      lowercase__			    =						test.model_tester.__class__

  return model_tester




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     List[Any]:
  lowercase__			    =						get_test_classes(_SCREAMING_SNAKE_CASE	)

  lowercase__			    =						[]
  for test_class in test_classes:
    if model_class in test_class.all_model_classes:
      target_test_classes.append(_SCREAMING_SNAKE_CASE	)

    # sort with class names
  return sorted(_SCREAMING_SNAKE_CASE	,		key=lambda _SCREAMING_SNAKE_CASE	: x.__name__	)




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     Dict:
  lowercase__			    =						get_test_classes_for_model(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)

  lowercase__			    =						[]
  for test_class in test_classes:
    lowercase__			    =						get_model_tester_from_test_class(_SCREAMING_SNAKE_CASE	)
    if tester_class is not None:
      tester_classes.append(_SCREAMING_SNAKE_CASE	)

    # sort with class names
  return sorted(_SCREAMING_SNAKE_CASE	,		key=lambda _SCREAMING_SNAKE_CASE	: x.__name__	)




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     List[Any]:
  lowercase__			    =						get_test_classes(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						{test_class: get_model_tester_from_test_class(_SCREAMING_SNAKE_CASE	) for test_class in test_classes}
  return test_tester_mapping




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Dict:
  lowercase__			    =						get_model_classes(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						{
      model_class: get_test_classes_for_model(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	) for model_class in model_classes
  }
  return model_test_mapping




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Optional[Any]:
  lowercase__			    =						get_model_classes(_SCREAMING_SNAKE_CASE	)
  lowercase__			    =						{
      model_class: get_tester_classes_for_model(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	) for model_class in model_classes
  }
  return model_to_tester_mapping




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     Optional[Any]:
  if isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	):
    return o
  elif isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	):
    return o.__name__
  elif isinstance(_SCREAMING_SNAKE_CASE	,		(list, tuple)	):
    return [to_json(_SCREAMING_SNAKE_CASE	) for x in o]
  elif isinstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	):
    return {to_json(_SCREAMING_SNAKE_CASE	): to_json(_SCREAMING_SNAKE_CASE	) for k, v in o.items()}
  else:
    return o









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_barthez import BarthezTokenizer
else:
      lowercase_					     =	None

lowercase_					     =	logging.get_logger(__name__)

lowercase_					     =	{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase_					     =	{
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"""
        ),
    },
}

lowercase_					     =	{
    """moussaKam/mbarthez""": 1_024,
    """moussaKam/barthez""": 1_024,
    """moussaKam/barthez-orangesum-title""": 1_024,
}

lowercase_					     =	"""▁"""
class        SCREAMING_SNAKE_CASE     (UpperCAmelCase   ):
   _UpperCamelCase					:	Dict				      = VOCAB_FILES_NAMES
   _UpperCamelCase					:	str				      = PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase					:	Optional[int]				      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase					:	Optional[Any]				      = ['input_ids', 'attention_mask']
   _UpperCamelCase					:	int				      = BarthezTokenizer


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





     """simple docstring"""







     lowercase__			    =						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    ,  cls_token=a    ,  pad_token=a    ,  mask_token=a    ,  **a    ,  )

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


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





     """simple docstring"""







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


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





     """simple docstring"""







     lowercase__			    =						[self.sep_token_id]
     lowercase__			    =						[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  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  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
     lowercase__			    =						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,)


