


"""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


UpperCamelCase    :					Union[str, Any]							   =   logging.get_logger(__name__)

UpperCamelCase    :					List[Any]							   =   {
    '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       lowerCamelCase__    ( snake_case_      ):
						lowerCAmelCase  	=  '''segformer'''







						def __init__(				self :     int      ,      _lowercase :     Any=3      ,      _lowercase :     Optional[Any]=4      ,      _lowercase :     Union[str, Any]=[2, 2, 2, 2]      ,      _lowercase :     List[Any]=[8, 4, 2, 1]      ,      _lowercase :     Optional[Any]=[32, 64, 160, 256]      ,      _lowercase :     str=[7, 3, 3, 3]      ,      _lowercase :     Dict=[4, 2, 2, 2]      ,      _lowercase :     int=[1, 2, 5, 8]      ,      _lowercase :     Tuple=[4, 4, 4, 4]      ,      _lowercase :     str="gelu"      ,      _lowercase :     Tuple=0.0      ,      _lowercase :     List[Any]=0.0      ,      _lowercase :     str=0.1      ,      _lowercase :     Dict=0.0_2      ,      _lowercase :     List[str]=0.1      ,      _lowercase :     Optional[Any]=1e-6      ,      _lowercase :     List[str]=256      ,      _lowercase :     Tuple=255      ,      **_lowercase :     Dict      ,      ):
								super().__init__(**lowercase__		)

								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.'      ,      lowercase__      ,      )

								A       							=			num_channels
								A       							=			num_encoder_blocks
								A       							=			depths
								A       							=			sr_ratios
								A       							=			hidden_sizes
								A       							=			patch_sizes
								A       							=			strides
								A       							=			mlp_ratios
								A       							=			num_attention_heads
								A       							=			hidden_act
								A       							=			hidden_dropout_prob
								A       							=			attention_probs_dropout_prob
								A       							=			classifier_dropout_prob
								A       							=			initializer_range
								A       							=			drop_path_rate
								A       							=			layer_norm_eps
								A       							=			decoder_hidden_size
								A       							=			kwargs.get('reshape_last_stage'      ,      lowercase__		)
								A       							=			semantic_loss_ignore_index



class       lowerCamelCase__    ( snake_case_      ):
						lowerCAmelCase  	=  version.parse("""1.11"""      )







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







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







						@property
						def __a    (				self :     int		):
								return 12











'''simple docstring'''


def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					list[int] ,    UpperCamelCase__    :					str				):




     """simple docstring"""


     a_     :							Tuple     						=  int(UpperCamelCase__				)

     # Initialize Result
     a_     :							Tuple     						=  []

     # Traverse through all denomination
     for denomination in reversed(UpperCamelCase__				):
          # Find denominations
          while int(UpperCamelCase__				) >= int(UpperCamelCase__				):
               total_value -= int(UpperCamelCase__				)
               answer.append(UpperCamelCase__				)  # Append the "answers" array

     return answer


# Driver Code
if __name__ == "__main__":
 lowerCAmelCase_      :  List[str]				     =  []
 lowerCAmelCase_      :  Union[str, Any]				     =  '0'

 if (
     input('Do you want to enter your denominations ? (yY/n): ').strip().lower()
     == "y"
 ):
  lowerCAmelCase_      :  str				     =  int(input('Enter the number of denominations you want to add: ').strip())

  for i in range(0, n):
   denominations.append(int(input(f"Denomination {i}: ").strip()))
  lowerCAmelCase_      :  Union[str, Any]				     =  input('Enter the change you want to make in Indian Currency: ').strip()
 else:
  # All denominations of Indian Currency if user does not enter
  lowerCAmelCase_      :  List[Any]				     =  [1, 2, 5, 10, 20, 50, 100, 500, 2000]
  lowerCAmelCase_      :  str				     =  input('Enter the change you want to make: ').strip()

 if int(value) == 0 or int(value) < 0:
  print('The total value cannot be zero or negative.')

 else:
  print(f"Following is minimal change for {value}: ")
  lowerCAmelCase_      :  Optional[int]				     =  find_minimum_change(denominations, value)
  # Print result
  for i in range(len(answer)):
   print(answer[i], end=' ')
