
"""simple docstring"""




class 		a__						:
   def __init__(			self	,    _a	,    _a	,    _a				):
          lowercase    :				Optional[Any]       		=							name
          lowercase    :				List[str]       		=							value
          lowercase    :				List[str]       		=							weight
   def __repr__(			self				):
          return f"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""
   def 			__magic_name__			(			self				):
          return self.value
   def 			__magic_name__			(			self				):
          return self.name
   def 			__magic_name__			(			self				):
          return self.weight

   def 			__magic_name__			(			self				):
          return self.value / self.weight


def   __magic_name__	(      __snake_case				:       Any     , __snake_case				:       Union[str, Any]     , __snake_case				:       int  ) ->				str:
       lowercase    :				Union[str, Any]       		=							[]
       for i in range(len(__snake_case  )  ):
              menu.append(Things(name[i]     , value[i]     , weight[i]  )  )
       return menu


def   __magic_name__	(      __snake_case				:       Optional[int]     , __snake_case				:       Dict     , __snake_case				:       int  ) ->				Dict:
       lowercase    :				Optional[int]       		=							sorted(__snake_case     , key=__snake_case     , reverse=__snake_case  )
       lowercase    :				Dict       		=							[]
       lowercase		,    lowercase    :				Optional[int]       		=							0.0, 0.0
       for i in range(len(__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   __magic_name__	(      ) ->				int:
       pass


if __name__ == "__main__":
   import doctest

   doctest.testmod()




"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


_A			:       Optional[int]   		=       {
    """configuration_llama""": ["""LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LlamaConfig"""],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A			:       Union[str, Any]   		=       ["""LlamaTokenizer"""]

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A			:       Dict   		=       ["""LlamaTokenizerFast"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A			:       int   		=       [
       """LlamaForCausalLM""",
       """LlamaModel""",
       """LlamaPreTrainedModel""",
       """LlamaForSequenceClassification""",
   ]


if TYPE_CHECKING:
   from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_llama import LlamaTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_llama_fast import LlamaTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
   import sys

   _A			:       str   		=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


