

'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase					 =	{
    '''configuration_distilbert''': [
        '''DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''DistilBertConfig''',
        '''DistilBertOnnxConfig''',
    ],
    '''tokenization_distilbert''': ['''DistilBertTokenizer'''],
}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase					 =	['''DistilBertTokenizerFast''']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase					 =	[
           '''DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''DistilBertForMaskedLM''',
           '''DistilBertForMultipleChoice''',
           '''DistilBertForQuestionAnswering''',
           '''DistilBertForSequenceClassification''',
           '''DistilBertForTokenClassification''',
           '''DistilBertModel''',
           '''DistilBertPreTrainedModel''',
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase					 =	[
           '''TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''TFDistilBertForMaskedLM''',
           '''TFDistilBertForMultipleChoice''',
           '''TFDistilBertForQuestionAnswering''',
           '''TFDistilBertForSequenceClassification''',
           '''TFDistilBertForTokenClassification''',
           '''TFDistilBertMainLayer''',
           '''TFDistilBertModel''',
           '''TFDistilBertPreTrainedModel''',
       ]

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       UpperCAmelCase					 =	[
           '''FlaxDistilBertForMaskedLM''',
           '''FlaxDistilBertForMultipleChoice''',
           '''FlaxDistilBertForQuestionAnswering''',
           '''FlaxDistilBertForSequenceClassification''',
           '''FlaxDistilBertForTokenClassification''',
           '''FlaxDistilBertModel''',
           '''FlaxDistilBertPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_distilbert import (
           DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
           DistilBertConfig,
           DistilBertOnnxConfig,
       )
       from .tokenization_distilbert import DistilBertTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_distilbert_fast import DistilBertTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_distilbert import (
                  DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DistilBertForMaskedLM,
                  DistilBertForMultipleChoice,
                  DistilBertForQuestionAnswering,
                  DistilBertForSequenceClassification,
                  DistilBertForTokenClassification,
                  DistilBertModel,
                  DistilBertPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_distilbert import (
                  TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFDistilBertForMaskedLM,
                  TFDistilBertForMultipleChoice,
                  TFDistilBertForQuestionAnswering,
                  TFDistilBertForSequenceClassification,
                  TFDistilBertForTokenClassification,
                  TFDistilBertMainLayer,
                  TFDistilBertModel,
                  TFDistilBertPreTrainedModel,
              )

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_distilbert import (
                  FlaxDistilBertForMaskedLM,
                  FlaxDistilBertForMultipleChoice,
                  FlaxDistilBertForQuestionAnswering,
                  FlaxDistilBertForSequenceClassification,
                  FlaxDistilBertForTokenClassification,
                  FlaxDistilBertModel,
                  FlaxDistilBertPreTrainedModel,
              )

else:
       import sys

       UpperCAmelCase					 =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





'''simple docstring'''

class 	lowerCAmelCase  :







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







            """simple docstring"""







            __lowercase      		=name
            __lowercase      		=value
            __lowercase      		=weight







       def __repr__(				self      :			List[str]   ):







            """simple docstring"""







            return f'''{self.__class__.__name__}({self.name}, {self.value}, {self.weight})'''







       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            return self.value







       def       snake_case (				self      :			str   ):







            """simple docstring"""







            return self.name







       def       snake_case (				self      :			Optional[Any]   ):







            """simple docstring"""







            return self.weight







       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            return self.value / self.weight






def 					__UpperCamelCase				(						lowercase__    :	Dict,       lowercase__    :	List[str],       lowercase__    :	str			):






     '''simple docstring'''





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

def 					__UpperCamelCase				(						lowercase__    :	List[Any],       lowercase__    :	List[Any],       lowercase__    :	str			):






     '''simple docstring'''





     __lowercase      		=sorted(lowercase__,       key=lowercase__,       reverse=lowercase__			)
     __lowercase      		=[]
     __lowercase		,  __lowercase      		=0.0, 0.0
     for i in range(len(lowercase__			)			):
          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 					__UpperCamelCase				(						):






     '''simple docstring'''







if __name__ == "__main__":
       import doctest

       doctest.testmod()


