



'''simple docstring'''






import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase:      int		 =		logging.get_logger(__name__)

lowerCAmelCase:      Dict		 =		{
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}

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







    def __init__(   self				:						int		,    __snake_case				:						Dict=3		,    __snake_case				:						Dict=4		,    __snake_case				:						List[str]=[2, 2, 2, 2]		,    __snake_case				:						Union[str, Any]=[8, 4, 2, 1]		,    __snake_case				:						Dict=[32, 64, 1_60, 2_56]		,    __snake_case				:						List[str]=[7, 3, 3, 3]		,    __snake_case				:						Union[str, Any]=[4, 2, 2, 2]		,    __snake_case				:						Any=[1, 2, 5, 8]		,    __snake_case				:						Tuple=[4, 4, 4, 4]		,    __snake_case				:						Union[str, Any]="gelu"		,    __snake_case				:						Any=0.0		,    __snake_case				:						Dict=0.0		,    __snake_case				:						List[Any]=0.1		,    __snake_case				:						Any=0.02		,    __snake_case				:						Optional[int]=0.1		,    __snake_case				:						str=1e-6		,    __snake_case				:						Optional[Any]=2_56		,    __snake_case				:						List[Any]=2_55		,    **__snake_case				:						Optional[Any]		,    ):
      super().__init__(**__snake_case			)

      if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
        warnings.warn(
            'Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'
            ' removed, as the behaviour will default to that of reshape_last_stage = True.'		,    __snake_case		,    )

      a		:      Optional[Any]       =  num_channels
      a		:      Optional[int]       =  num_encoder_blocks
      a		:      Tuple       =  depths
      a		:      Optional[Any]       =  sr_ratios
      a		:      List[Any]       =  hidden_sizes
      a		:      str       =  patch_sizes
      a		:      int       =  strides
      a		:      List[str]       =  mlp_ratios
      a		:      Dict       =  num_attention_heads
      a		:      Optional[Any]       =  hidden_act
      a		:      Any       =  hidden_dropout_prob
      a		:      List[str]       =  attention_probs_dropout_prob
      a		:      List[str]       =  classifier_dropout_prob
      a		:      List[str]       =  initializer_range
      a		:      Dict       =  drop_path_rate
      a		:      int       =  layer_norm_eps
      a		:      int       =  decoder_hidden_size
      a		:      Optional[int]       =  kwargs.get('reshape_last_stage'		,    __snake_case			)
      a		:      int       =  semantic_loss_ignore_index

class 							a__(      lowerCamelCase__			):
    lowercase__				=					version.parse("""1.11"""			)







    @property
    def     lowercase_ (   self				:						str			):
      return OrderedDict(
          [
              ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
          ]			)







    @property
    def     lowercase_ (   self				:						Optional[int]			):
      return 1e-4







    @property
    def     lowercase_ (   self				:						List[Any]			):
      return 12




'''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()