


def   _SCREAMING_SNAKE_CASE	( SCREAMING_SNAKE_CASE ,			SCREAMING_SNAKE_CASE       ):
  A_      :				Union[str, Any]		     =					int(SCREAMING_SNAKE_CASE       )

  # Initialize Result
  A_      :				str		     =					[]

  # 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__":
     UpperCamelCase								=	[]
     UpperCamelCase								=	"""0"""

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








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCamelCase								=	{
    """configuration_nezha""": ["""NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NezhaConfig"""],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase								=	[
         """NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """NezhaForNextSentencePrediction""",
         """NezhaForMaskedLM""",
         """NezhaForPreTraining""",
         """NezhaForMultipleChoice""",
         """NezhaForQuestionAnswering""",
         """NezhaForSequenceClassification""",
         """NezhaForTokenClassification""",
         """NezhaModel""",
         """NezhaPreTrainedModel""",
     ]


if TYPE_CHECKING:
     from .configuration_nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_nezha import (
              NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
              NezhaForMaskedLM,
              NezhaForMultipleChoice,
              NezhaForNextSentencePrediction,
              NezhaForPreTraining,
              NezhaForQuestionAnswering,
              NezhaForSequenceClassification,
              NezhaForTokenClassification,
              NezhaModel,
              NezhaPreTrainedModel,
          )


else:
     import sys

     UpperCamelCase								=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




