



import os
from collections.abc import Iterator







def    _snake_case (       __snake_case = "."    )     ->     Iterator[str]:






      '''simple docstring'''







      for dir_path, dir_names, filenames in os.walk(__snake_case    ):
            UpperCAmelCase_  :	Union[str, Any]				      =		[d for d in dir_names if d != "scripts" and d[0] not in "._"]
            for filename in filenames:
                  if filename == "__init__.py":
                        continue
                  if os.path.splitext(__snake_case    )[1] in (".py", ".ipynb"):
                        yield os.path.join(__snake_case					,  __snake_case    ).lstrip("./"    )







def    _snake_case (       __snake_case    )     ->     int:






      '''simple docstring'''







      return F"""{i * '  '}*""" if i else "\n##"







def    _snake_case (       __snake_case					,  __snake_case    )     ->     str:






      '''simple docstring'''







      UpperCAmelCase_  :	Optional[Any]				      =		old_path.split(os.sep    )
      for i, new_part in enumerate(new_path.split(os.sep    )    ):
            if (i + 1 > len(__snake_case    ) or old_parts[i] != new_part) and new_part:
                  print(F"""{md_prefix(__snake_case    )} {new_part.replace('_'					,  ' '    ).title()}"""    )
      return new_path







def    _snake_case (       __snake_case = "."    )     ->     None:






      '''simple docstring'''







      UpperCAmelCase_  :	Optional[Any]				      =		""
      for filepath in sorted(good_file_paths(__snake_case    )    ):
            UpperCAmelCase_      ,      UpperCAmelCase_  :	int				      =		os.path.split(__snake_case    )
            if filepath != old_path:
                  UpperCAmelCase_  :	Union[str, Any]				      =		print_path(__snake_case					,  __snake_case    )
            UpperCAmelCase_  :	Optional[int]				      =		(filepath.count(os.sep    ) + 1) if filepath else 0
            UpperCAmelCase_  :	Any				      =		F"""{filepath}/{filename}""".replace(" "					,  "%20"    )
            UpperCAmelCase_  :	Dict				      =		os.path.splitext(filename.replace("_"					,  " "    ).title()    )[0]
            print(F"""{md_prefix(__snake_case    )} [{filename}]({url})"""    )


if __name__ == "__main__":
   print_directory_md('''.''')





from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       _lowerCamelCase			    =				"""ClapFeatureExtractor"""
       _lowerCamelCase			    =				("""RobertaTokenizer""", """RobertaTokenizerFast""")



       def __init__(     self     ,lowercase     ,lowercase):

             """simple docstring"""





             super().__init__(lowercase     ,lowercase)



       def __call__(     self     ,lowercase=None     ,lowercase=None     ,lowercase=None     ,**lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Dict				      =		kwargs.pop("sampling_rate"     ,lowercase)

             if text is None and audios is None:
                   raise ValueError("You have to specify either text or audios. Both cannot be none.")

             if text is not None:
                   UpperCAmelCase_  :	List[str]				      =		self.tokenizer(lowercase     ,return_tensors=lowercase     ,**lowercase)

             if audios is not None:
                   UpperCAmelCase_  :	str				      =		self.feature_extractor(
                       lowercase     ,sampling_rate=lowercase     ,return_tensors=lowercase     ,**lowercase)

             if text is not None and audios is not None:
                   UpperCAmelCase_  :	Optional[int]				      =		audio_features.input_features
                   return encoding
             elif text is not None:
                   return encoding
             else:
                   return BatchEncoding(data=dict(**lowercase)     ,tensor_type=lowercase)



       def  A_   (     self     ,*lowercase     ,**lowercase):

             """simple docstring"""





             return self.tokenizer.batch_decode(*lowercase     ,**lowercase)



       def  A_   (     self     ,*lowercase     ,**lowercase):

             """simple docstring"""





             return self.tokenizer.decode(*lowercase     ,**lowercase)



       @property
       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	str				      =		self.tokenizer.model_input_names
             UpperCAmelCase_  :	str				      =		self.feature_extractor.model_input_names
             return list(dict.fromkeys(tokenizer_input_names + feature_extractor_input_names))
