


'''simple docstring'''






from __future__ import annotations

from math import pow, sqrt





def      UpperCAmelCase      (		lowerCamelCase_  :float				,      lowerCamelCase_  :float				,      lowerCamelCase_  :float ):







		'''simple docstring'''
		if (resistance, reactance, impedance).count(0 ) != 1:
				raise ValueError("""One and only one argument must be 0""" )
		if resistance == 0:
				return {"resistance": sqrt(pow(lowerCamelCase_				,      2 ) - pow(lowerCamelCase_				,      2 ) )}
		elif reactance == 0:
				return {"reactance": sqrt(pow(lowerCamelCase_				,      2 ) - pow(lowerCamelCase_				,      2 ) )}
		elif impedance == 0:
				return {"impedance": sqrt(pow(lowerCamelCase_				,      2 ) + pow(lowerCamelCase_				,      2 ) )}
		else:
				raise ValueError("""Exactly one argument must be 0""" )


if __name__ == "__main__":
							import doctest

							doctest.testmod()



'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available


__A	:	Tuple     =     {
    'configuration_audio_spectrogram_transformer': [
        'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ASTConfig',
    ]
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__A	:	Tuple     =     [
							    'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'ASTForAudioClassification',
							    'ASTModel',
							    'ASTPreTrainedModel',
							]

try:
							if not is_speech_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__A	:	int     =     ['ASTFeatureExtractor']

if TYPE_CHECKING:
							from .configuration_audio_spectrogram_transformer import (
							    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    ASTConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_audio_spectrogram_transformer import (
														    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ASTForAudioClassification,
														    ASTModel,
														    ASTPreTrainedModel,
														)

							try:
														if not is_speech_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
							import sys

							__A	:	Union[str, Any]     =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)