





from ...processing_utils import ProcessorMixin



class      _SCREAMING_SNAKE_CASE		(			__SCREAMING_SNAKE_CASE					):







 '''simple docstring'''
 lowercase_	=    ["image_processor", "feature_extractor"]
 lowercase_	=    "TvltImageProcessor"
 lowercase_	=    "TvltFeatureExtractor"

 def __init__(self       :     Any ,				UpperCAmelCase_       :     List[Any] ,				UpperCAmelCase_       :     str) ->Union[str, Any]:



   '''simple docstring'''



   super().__init__(image_processor=__A ,				feature_extractor=__A)

   lowerCamelCase__:   Dict    						=image_processor
   lowerCamelCase__:   List[str]    						=feature_extractor

 def __call__(self       :     List[Any] ,				UpperCAmelCase_       :     Optional[int]=None ,				UpperCAmelCase_       :     List[Any]=None ,				UpperCAmelCase_       :     List[str]=None ,				UpperCAmelCase_       :     int=None ,				UpperCAmelCase_       :     Tuple=False ,				UpperCAmelCase_       :     Dict=False ,				*UpperCAmelCase_       :     List[Any] ,				**UpperCAmelCase_       :     Optional[Any] ,				) ->Any:



   '''simple docstring'''



   if images is None and audio is None:
     raise ValueError("You need to specify either an `images` or `audio` input to process.")

   lowerCamelCase__:   List[Any]    						=None
   if images is not None:
     lowerCamelCase__:   Optional[int]    						=self.image_processor(__A ,				mask_pixel=__A ,				*__A ,				**__A)
   if images_mixed is not None:
     lowerCamelCase__:   Dict    						=self.image_processor(__A ,				is_mixed=__A ,				*__A ,				**__A)
   if audio is not None:
     lowerCamelCase__:   Optional[int]    						=self.feature_extractor(
         __A ,				*__A ,				sampling_rate=__A ,				mask_audio=__A ,				**__A)

   lowerCamelCase__:   Dict    						={}
   if audio is not None:
     output_dict.update(__A)
   if images is not None:
     output_dict.update(__A)
   if images_mixed_dict is not None:
     output_dict.update(__A)
   return output_dict







 @property
 def 							SCREAMING_SNAKE_CASE_      (self       :     Optional[int]) ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:   Optional[int]    						=self.image_processor.model_input_names
   lowerCamelCase__:   Any    						=self.feature_extractor.model_input_names
   return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names))








import re





def   lowerCAmelCase_				( __a	)  ->	list:







  """simple docstring"""





  return [char.split() for char in re.split(R"[^ a-z A-Z 0-9 \s]"			,					str_	)]





def   lowerCAmelCase_				( __a	)  ->	str:







  """simple docstring"""





  lowerCamelCase__:   Tuple    						=split_input(str_	)
  return "".join(
      ["".join([char.capitalize() for char in sub_str]	) for sub_str in string_split]	)





def   lowerCAmelCase_				( __a			,					__a			,					__a	)  ->	str:







  """simple docstring"""





  try:
    lowerCamelCase__:   Optional[Any]    						=split_input(__a	)
    if upper:
      lowerCamelCase__:   Tuple    						="".join(
          [
              separator.join([char.upper() for char in sub_str]	)
              for sub_str in string_split
          ]	)
    else:
      lowerCamelCase__:   Dict    						="".join(
          [
              separator.join([char.lower() for char in sub_str]	)
              for sub_str in string_split
          ]	)
    return res_str
  except IndexError:
    return "not valid string"





def   lowerCAmelCase_				( __a	)  ->	str:







  """simple docstring"""





  return to_simple_case(__a	)





def   lowerCAmelCase_				( __a	)  ->	str:







  """simple docstring"""





  try:
    lowerCamelCase__:   Any    						=to_simple_case(__a	)
    return res_str[0].lower() + res_str[1:]
  except IndexError:
    return "not valid string"





def   lowerCAmelCase_				( __a			,					__a	)  ->	str:







  """simple docstring"""





  return to_complex_case(__a			,					__a			,					"_"	)





def   lowerCAmelCase_				( __a			,					__a	)  ->	str:







  """simple docstring"""





  return to_complex_case(__a			,					__a			,					"-"	)


if __name__ == "__main__":
     __import__("doctest").testmod()

