





def     _lowerCAmelCase		(  ):
   '''simple docstring'''


   return 1



def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   return 0 if x < 0 else two_pence(x - 2     ) + one_pence()



def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   return 0 if x < 0 else five_pence(x - 5     ) + two_pence(_lowercase     )



def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   return 0 if x < 0 else ten_pence(x - 1_0     ) + five_pence(_lowercase     )



def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   return 0 if x < 0 else twenty_pence(x - 2_0     ) + ten_pence(_lowercase     )



def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   return 0 if x < 0 else fifty_pence(x - 5_0     ) + twenty_pence(_lowercase     )



def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   return 0 if x < 0 else one_pound(x - 1_0_0     ) + fifty_pence(_lowercase     )



def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   return 0 if x < 0 else two_pound(x - 2_0_0     ) + one_pound(_lowercase     )



def     _lowerCAmelCase		(  _lowerCAmelCase = 2_0_0     ):
   '''simple docstring'''


   return two_pound(_lowercase     )


if __name__ == "__main__":
      print(solution(int(input().strip())))













from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_torch_available,
)


_lowerCAmelCase 				=     {
    """configuration_speecht5""": [
        """SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP""",
        """SpeechT5Config""",
        """SpeechT5HifiGanConfig""",
    ],
    """feature_extraction_speecht5""": ["""SpeechT5FeatureExtractor"""],
    """processing_speecht5""": ["""SpeechT5Processor"""],
}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCAmelCase 				=     ["""SpeechT5Tokenizer"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCAmelCase 				=     [
          """SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """SpeechT5ForSpeechToText""",
          """SpeechT5ForSpeechToSpeech""",
          """SpeechT5ForTextToSpeech""",
          """SpeechT5Model""",
          """SpeechT5PreTrainedModel""",
          """SpeechT5HifiGan""",
      ]

if TYPE_CHECKING:
      from .configuration_speechta import (
          SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
          SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
          SpeechTaConfig,
          SpeechTaHifiGanConfig,
      )
      from .feature_extraction_speechta import SpeechTaFeatureExtractor
      from .processing_speechta import SpeechTaProcessor

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_speechta import SpeechTaTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_speechta import (
                SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
                SpeechTaForSpeechToSpeech,
                SpeechTaForSpeechToText,
                SpeechTaForTextToSpeech,
                SpeechTaHifiGan,
                SpeechTaModel,
                SpeechTaPreTrainedModel,
            )

else:
      import sys

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






