






class       _UpperCAmelCase					:

				"""simple docstring"""




				def __init__(     self						:    Tuple,  lowerCamelCase						:    Optional[int],  lowerCamelCase						:    Any,  lowerCamelCase						:    str  ):

								'''simple docstring'''
								lowercase__    =			name
								lowercase__    =			value
								lowercase__    =			weight




				def __repr__(     self						:    Union[str, Any]  ):

								'''simple docstring'''
								return F"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""




				def 				lowercase__   (     self						:    Tuple  ):

								'''simple docstring'''
								return self.value




				def 				lowercase__   (     self						:    str  ):

								'''simple docstring'''
								return self.name




				def 				lowercase__   (     self						:    Optional[Any]  ):

								'''simple docstring'''
								return self.weight




				def 				lowercase__   (     self						:    Optional[int]  ):

								'''simple docstring'''
								return self.value / self.weight






def   a			(						lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			[]
				for i in range(len(SCREAMING_SNAKE_CASE_				)				):
								menu.append(Things(name[i]		,   value[i]		,   weight[i]				)				)
				return menu






def   a			(						lowerCamelCase_		,   lowerCamelCase_		,   lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			sorted(SCREAMING_SNAKE_CASE_		,   key=SCREAMING_SNAKE_CASE_		,   reverse=SCREAMING_SNAKE_CASE_				)
				lowercase__    =			[]
				lowercase__ ,						lowercase__    =			0.0, 0.0
				for i in range(len(SCREAMING_SNAKE_CASE_				)				):
								if (total_cost + items_copy[i].get_weight()) <= max_cost:
												result.append(items_copy[i]				)
												total_cost += items_copy[i].get_weight()
												total_value += items_copy[i].get_value()
				return (result, total_value)






def   a			(						):






				'''simple docstring'''
				pass


if __name__ == "__main__":
							import doctest

							doctest.testmod()










from typing import TYPE_CHECKING

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


UpperCamelCase__    			=			{
    """configuration_audio_spectrogram_transformer""": [
        """AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """ASTConfig""",
    ]
}

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

try:
					if not is_speech_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCamelCase__    			=			["""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

					UpperCamelCase__    			=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




