





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> list[int]:




    """simple docstring"""




    _A     =							int(_SCREAMING_SNAKE_CASE				)

    # Initialize Result
    _A     =							[]

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

    return answer


# Driver Code
if __name__ == "__main__":
 __A							:			int         =			[]
 __A							:			List[Any]         =			"0"

 if (
     input("Do you want to enter your denominations ? (yY/n): ").strip().lower()
     == "y"
 ):
  __A							:			Optional[Any]         =			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()))
  __A							:			Any         =			input("Enter the change you want to make in Indian Currency: ").strip()
 else:
  # All denominations of Indian Currency if user does not enter
  __A							:			Tuple         =			[1, 2, 5, 10, 20, 50, 100, 500, 2_000]
  __A							:			Optional[Any]         =			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}: ")
  __A							:			int         =			find_minimum_change(denominations, value)
  # Print result
  for i in range(len(answer)):
   print(answer[i], end=" ")












from ... import PretrainedConfig


__A							:			Optional[Any]         =			{
    "sijunhe/nezha-cn-base": "https://huggingface.co/sijunhe/nezha-cn-base/resolve/main/config.json",
}







class      lowerCamelCase(						__snake_case	):
     '''simple docstring'''


     __magic_name__   =			NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP
     __magic_name__   =			'nezha'




     def __init__(    self				,     snake_case_=2_1128				,     snake_case_=768				,     snake_case_=12				,     snake_case_=12				,     snake_case_=3072				,     snake_case_="gelu"				,     snake_case_=0.1				,     snake_case_=0.1				,     snake_case_=512				,     snake_case_=64				,     snake_case_=2				,     snake_case_=0.02				,     snake_case_=1E-12				,     snake_case_=0.1				,     snake_case_=0				,     snake_case_=2				,     snake_case_=3				,     snake_case_=True				,     **snake_case_				,     ):
         super().__init__(pad_token_id=snake_case_				,     bos_token_id=snake_case_				,     eos_token_id=snake_case_				,     **snake_case_							)

         _A     =							vocab_size
         _A     =							hidden_size
         _A     =							num_hidden_layers
         _A     =							num_attention_heads
         _A     =							hidden_act
         _A     =							intermediate_size
         _A     =							hidden_dropout_prob
         _A     =							attention_probs_dropout_prob
         _A     =							max_position_embeddings
         _A     =							max_relative_position
         _A     =							type_vocab_size
         _A     =							initializer_range
         _A     =							layer_norm_eps
         _A     =							classifier_dropout
         _A     =							use_cache





