



class    SCREAMING_SNAKE_CASE			:





							def __init__(   self		:		List[str]      ,				__lowercase		:		Optional[int]      ,				__lowercase		:		int      ,				__lowercase		:		Union[str, Any]	):

											'''simple docstring'''
											__a       =		name
											__a       =		value
											__a       =		weight





							def __repr__(   self		:		Any	):

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





							def 						UpperCamelCase_					(   self		:		Tuple	):

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





							def 						UpperCamelCase_					(   self		:		List[Any]	):

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





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

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







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

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



def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			Union[str, Any]				,     _SCREAMING_SNAKE_CASE       :			Any				,     _SCREAMING_SNAKE_CASE       :			str    ):
				"""simple docstring"""







				__a       =		[]
				for i in range(len(_SCREAMING_SNAKE_CASE    )    ):
								menu.append(Things(name[i]				,     value[i]				,     weight[i]    )    )
				return menu

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			Optional[Any]				,     _SCREAMING_SNAKE_CASE       :			str				,     _SCREAMING_SNAKE_CASE       :			int    ):
				"""simple docstring"""







				__a       =		sorted(_SCREAMING_SNAKE_CASE				,     key=_SCREAMING_SNAKE_CASE				,     reverse=_SCREAMING_SNAKE_CASE    )
				__a       =		[]
				__a     ,					__a       =		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   lowerCAmelCase__						(							):
				"""simple docstring"""









if __name__ == "__main__":
						import doctest

						doctest.testmod()





from typing import TYPE_CHECKING

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


lowerCamelCase__			= {
    """configuration_nezha""": ["""NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NezhaConfig"""],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase__			= [
						    """NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """NezhaForNextSentencePrediction""",
						    """NezhaForMaskedLM""",
						    """NezhaForPreTraining""",
						    """NezhaForMultipleChoice""",
						    """NezhaForQuestionAnswering""",
						    """NezhaForSequenceClassification""",
						    """NezhaForTokenClassification""",
						    """NezhaModel""",
						    """NezhaPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_nezha import (
												    NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    NezhaForMaskedLM,
												    NezhaForMultipleChoice,
												    NezhaForNextSentencePrediction,
												    NezhaForPreTraining,
												    NezhaForQuestionAnswering,
												    NezhaForSequenceClassification,
												    NezhaForTokenClassification,
												    NezhaModel,
												    NezhaPreTrainedModel,
												)


else:
						import sys

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