



from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase:      Tuple		 =		logging.get_logger(__name__)

lowerCAmelCase:      int		 =		{
    'google/vivit-b-16x2-kinetics400': (
        'https://huggingface.co/google/vivit-b-16x2-kinetics400/resolve/main/config.json'
    ),
    # See all Vivit models at https://huggingface.co/models?filter=vivit
}

class 							a__(      lowerCamelCase__			):
    lowercase__				=					"""vivit"""







    def __init__(   self				:						int		,    __snake_case				:						int=2_24		,    __snake_case				:						Dict=32		,    __snake_case				:						Any=[2, 16, 16]		,    __snake_case				:						Tuple=3		,    __snake_case				:						int=7_68		,    __snake_case				:						Union[str, Any]=12		,    __snake_case				:						Dict=12		,    __snake_case				:						Tuple=30_72		,    __snake_case				:						int="gelu_fast"		,    __snake_case				:						List[Any]=0.0		,    __snake_case				:						Optional[int]=0.0		,    __snake_case				:						Any=0.02		,    __snake_case				:						Dict=1e-0_6		,    __snake_case				:						int=True		,    **__snake_case				:						str		,    ):
      a		:      str       =  hidden_size
      a		:      List[str]       =  num_hidden_layers
      a		:      Optional[int]       =  num_attention_heads
      a		:      List[str]       =  intermediate_size
      a		:      Any       =  hidden_act
      a		:      List[Any]       =  hidden_dropout_prob
      a		:      List[Any]       =  attention_probs_dropout_prob
      a		:      str       =  initializer_range
      a		:      str       =  layer_norm_eps

      a		:      Any       =  image_size
      a		:      str       =  num_frames
      a		:      Dict       =  tubelet_size
      a		:      Union[str, Any]       =  num_channels
      a		:      List[str]       =  qkv_bias

      super().__init__(**__snake_case			)




'''simple docstring'''






class 							a__:







    def __init__(   self				:						Dict		,    __snake_case				:						Optional[int]		,    __snake_case				:						Any		,    __snake_case				:						Tuple			):
      a		:      List[str]       =  name
      a		:      Dict       =  value
      a		:      List[str]       =  weight







    def __repr__(   self				:						int			):
      return F"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""







    def     lowercase_ (   self				:						Optional[int]			):
      return self.value







    def     lowercase_ (   self				:						List[str]			):
      return self.name







    def     lowercase_ (   self				:						int			):
      return self.weight







    def     lowercase_ (   self				:						List[str]			):
      return self.value / self.weight
def    lowerCamelCase__ (		_A				,    _A				,    _A       ):
  a		:      Optional[int]       =  []
  for i in range(len(_A       )       ):
    menu.append(Things(name[i]				,    value[i]				,    weight[i]       )       )
  return menu
def    lowerCamelCase__ (		_A				,    _A				,    _A       ):
  a		:      Optional[Any]       =  sorted(_A				,    key=_A				,    reverse=_A       )
  a		:      Optional[int]       =  []
  a     ,			a		:      str       =  0.0, 0.0
  for i in range(len(_A       )       ):
    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__ (		):
  pass


if __name__ == "__main__":
     import doctest

     doctest.testmod()