
"""simple docstring"""





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



class __lowerCAmelCase				(					A_   ):




			"""simple docstring"""







			snake_case	      =				'''ClapFeatureExtractor'''
			snake_case	      =				('''RobertaTokenizer''', '''RobertaTokenizerFast''')




			def __init__(				self						:					int       ,   _snake_case						:					Optional[int]       ,   _snake_case						:					Union[str, Any]	)      -> Dict:







								"""simple docstring"""
								super().__init__(_snake_case       ,   _snake_case	)




			def __call__(				self						:					Any       ,   _snake_case						:					List[str]=None       ,   _snake_case						:					List[Any]=None       ,   _snake_case						:					Tuple=None       ,   **_snake_case						:					List[str]	)      -> Dict:







								"""simple docstring"""
								A_				 =						kwargs.pop("sampling_rate"       ,   _snake_case	)

								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:
													A_				 =						self.tokenizer(_snake_case       ,   return_tensors=_snake_case       ,   **_snake_case	)

								if audios is not None:
													A_				 =						self.feature_extractor(
													    _snake_case       ,   sampling_rate=_snake_case       ,   return_tensors=_snake_case       ,   **_snake_case	)

								if text is not None and audios is not None:
													A_				 =						audio_features.input_features
													return encoding
								elif text is not None:
													return encoding
								else:
													return BatchEncoding(data=dict(**_snake_case	)       ,   tensor_type=_snake_case	)




			def      lowerCamelCase__     (				self						:					int       ,   *_snake_case						:					Union[str, Any]       ,   **_snake_case						:					List[Any]	)      -> Optional[Any]:







								"""simple docstring"""
								return self.tokenizer.batch_decode(*_snake_case       ,   **_snake_case	)




			def      lowerCamelCase__     (				self						:					Optional[Any]       ,   *_snake_case						:					Any       ,   **_snake_case						:					List[Any]	)      -> str:







								"""simple docstring"""
								return self.tokenizer.decode(*_snake_case       ,   **_snake_case	)






			@property
			def      lowerCamelCase__     (				self						:					Union[str, Any]	)      -> Union[str, Any]:







								"""simple docstring"""
								A_				 =						self.tokenizer.model_input_names
								A_				 =						self.feature_extractor.model_input_names
								return list(dict.fromkeys(tokenizer_input_names + feature_extractor_input_names	)	)






"""simple docstring"""





from math import atan, cos, radians, sin, tan

from .haversine_distance import haversine_distance

UpperCamelCase_					:						Tuple				= 637_8137.0
UpperCamelCase_					:						List[str]				= 635_6752.31_4245
UpperCamelCase_					:						Dict				= 637_8137
def 							A_     (__a				,   __a				,   __a				,   __a				):

					'''simple docstring'''





					A_				 =						(AXIS_A - AXIS_B) / AXIS_A
					# Parametric latitudes
					# https://en.wikipedia.org/wiki/Latitude#Parametric_(or_reduced)_latitude
					A_				 =						atan((1 - flattening) * tan(radians(__a				)				)				)
					A_				 =						atan((1 - flattening) * tan(radians(__a				)				)				)

					# Compute central angle between two points
					# using haversine theta. sigma =  haversine_distance / equatorial radius
					A_				 =						haversine_distance(__a				,   __a				,   __a				,   __a				) / EQUATORIAL_RADIUS

					# Intermediate P and Q values
					A_				 =						(b_lata + b_lata) / 2
					A_				 =						(b_lata - b_lata) / 2

					# Intermediate X value
					# X = (sigma - sin(sigma)) * sin^2Pcos^2Q / cos^2(sigma/2)
					A_				 =						(sin(__a				) ** 2) * (cos(__a				) ** 2)
					A_				 =						cos(sigma / 2				) ** 2
					A_				 =						(sigma - sin(__a				)) * (x_numerator / x_demonimator)

					# Intermediate Y value
					# Y = (sigma + sin(sigma)) * cos^2Psin^2Q / sin^2(sigma/2)
					A_				 =						(cos(__a				) ** 2) * (sin(__a				) ** 2)
					A_				 =						sin(sigma / 2				) ** 2
					A_				 =						(sigma + sin(__a				)) * (y_numerator / y_denominator)

					return EQUATORIAL_RADIUS * (sigma - ((flattening / 2) * (x_value + y_value)))


if __name__ == "__main__":
		import doctest

		doctest.testmod()




