





"""simple docstring"""




def 	a_    (							_lowercase = 10	,						_lowercase = 1000	,						_lowercase = True       ):
						assert (
						    isinstance(_lowercase	,						_lowercase       )
						    and isinstance(_lowercase	,						_lowercase       )
						    and isinstance(_lowercase	,						_lowercase       )
						), "Invalid type of value(s) specified to function!"

						if min_val > max_val:
												raise ValueError('''Invalid value for min_val or max_val (min_value < max_value)'''       )
						return min_val if option else max_val





def 	a_    (							_lowercase	,						_lowercase       ):
						return int((number_a + number_a) / 2       )





def 	a_    (							_lowercase	,						_lowercase	,						_lowercase       ):
						assert (
						    isinstance(_lowercase	,						_lowercase       ) and isinstance(_lowercase	,						_lowercase       ) and isinstance(_lowercase	,						_lowercase       )
						), 'argument values must be type of "int"'

						if lower > higher:
												raise ValueError('''argument value for lower and higher must be(lower > higher)'''       )

						if not lower < to_guess < higher:
												raise ValueError(
												    '''guess value must be within the range of lower and higher value'''       )

						def answer(_lowercase       ) -> str:
												if number > to_guess:
																		return "high"
												elif number < to_guess:
																		return "low"
												else:
																		return "same"

						print('''started...'''       )

						_UpperCamelCase      : Dict         =   lower
						_UpperCamelCase      : Any         =   higher

						_UpperCamelCase      : Any         =   []

						while True:
												_UpperCamelCase      : Optional[Any]         =   get_avg(_lowercase	,						_lowercase       )
												last_numbers.append(_lowercase       )

												if answer(_lowercase       ) == "low":
																		_UpperCamelCase      : List[Any]         =   number
												elif answer(_lowercase       ) == "high":
																		_UpperCamelCase      : str         =   number
												else:
																		break

						print(F"""guess the number : {last_numbers[-1]}"""       )
						print(F"""details : {last_numbers!s}"""       )





def 	a_    (							):
						_UpperCamelCase      : List[Any]         =   int(input('''Enter lower value : '''       ).strip()       )
						_UpperCamelCase      : Optional[int]         =   int(input('''Enter high value : '''       ).strip()       )
						_UpperCamelCase      : Dict         =   int(input('''Enter value to guess : '''       ).strip()       )
						guess_the_number(_lowercase	,						_lowercase	,						_lowercase       )


if __name__ == "__main__":
						main()










"""simple docstring"""




from ...processing_utils import ProcessorMixin




class 			_a						(				_lowerCAmelCase    ):
				UpperCamelCase								=   ['''image_processor''', '''feature_extractor''']
				UpperCamelCase								=   '''TvltImageProcessor'''
				UpperCamelCase								=   '''TvltFeatureExtractor'''






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




										'''simple docstring'''



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

										_UpperCamelCase      : List[str]         =   image_processor
										_UpperCamelCase      : int         =   feature_extractor






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




										'''simple docstring'''



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

										_UpperCamelCase      : Optional[int]         =   None
										if images is not None:
																_UpperCamelCase      : Optional[int]         =   self.image_processor(lowerCAmelCase__,			mask_pixel=lowerCAmelCase__,			*lowerCAmelCase__,			**lowerCAmelCase__							)
										if images_mixed is not None:
																_UpperCamelCase      : str         =   self.image_processor(lowerCAmelCase__,			is_mixed=lowerCAmelCase__,			*lowerCAmelCase__,			**lowerCAmelCase__							)
										if audio is not None:
																_UpperCamelCase      : Union[str, Any]         =   self.feature_extractor(
																    lowerCAmelCase__,			*lowerCAmelCase__,			sampling_rate=lowerCAmelCase__,			mask_audio=lowerCAmelCase__,			**lowerCAmelCase__							)

										_UpperCamelCase      : str         =   {}
										if audio is not None:
																output_dict.update(lowerCAmelCase__							)
										if images is not None:
																output_dict.update(lowerCAmelCase__							)
										if images_mixed_dict is not None:
																output_dict.update(lowerCAmelCase__							)
										return output_dict






				@property
				def     snake_case     (			self		:   List[str]							)     ->				Tuple:




										'''simple docstring'''



										_UpperCamelCase      : List[str]         =   self.image_processor.model_input_names
										_UpperCamelCase      : List[Any]         =   self.feature_extractor.model_input_names
										return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names							)							)



