'''simple docstring'''


def  _lowerCamelCase   (				lowerCamelCase_ :							list[int]     ,					lowerCamelCase_ :							str       ):



     """simple docstring"""





     UpperCAmelCase_							:       Any       =				int(lowerCamelCase_       )

     # Initialize Result
     UpperCAmelCase_							:       Any       =				[]

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

     return answer


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

 if (
     input('''Do you want to enter your denominations ? (yY/n): ''').strip().lower()
     == "y"
 ):
  snake_case__					:      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()))
  snake_case__					:      List[Any]				      =  input('''Enter the change you want to make in Indian Currency: ''').strip()
 else:
  # All denominations of Indian Currency if user does not enter
  snake_case__					:      int				      =  [1, 2, 5, 10, 20, 50, 100, 500, 2000]
  snake_case__					:      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}: ''')
  snake_case__					:      Optional[Any]				      =  find_minimum_change(denominations, value)
  # Print result
  for i in range(len(answer)):
   print(answer[i], end=''' ''')







'''simple docstring'''


from typing import Optional, Union

import torch
from torch import nn

from ...configuration_utils import ConfigMixin, register_to_config
from ...models.modeling_utils import ModelMixin






class 					__SCREAMING_SNAKE_CASE						(	lowerCamelCase_						,     lowerCamelCase_	):







  '''simple docstring'''






  @register_to_config
  def __init__(			self				,		snake_case_ = 7_6_8				,		):




       '''simple docstring'''

       super().__init__()

       UpperCAmelCase_							:       int       =				nn.Parameter(torch.zeros(1				,		snake_case_						)						)
       UpperCAmelCase_							:       str       =				nn.Parameter(torch.ones(1				,		snake_case_						)						)


  def _UpperCamelCase					(			self				,		snake_case_ = None				,		snake_case_ = None				,		):




       '''simple docstring'''

       UpperCAmelCase_							:       int       =				nn.Parameter(self.mean.to(snake_case_						).to(snake_case_						)						)
       UpperCAmelCase_							:       Tuple       =				nn.Parameter(self.std.to(snake_case_						).to(snake_case_						)						)
       return self


  def _UpperCamelCase					(			self				,		snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       Dict       =				(embeds - self.mean) * 1.0 / self.std
       return embeds






  def _UpperCamelCase					(			self				,		snake_case_						):




       '''simple docstring'''

       UpperCAmelCase_							:       List[Any]       =				(embeds * self.std) + self.mean
       return embeds






