





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_lowercase 							=       {
    """configuration_resnet""": ["""RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ResNetConfig""", """ResNetOnnxConfig"""]
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowercase 							=       [
					    """RESNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """ResNetForImageClassification""",
					    """ResNetModel""",
					    """ResNetPreTrainedModel""",
					    """ResNetBackbone""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowercase 							=       [
					    """TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFResNetForImageClassification""",
					    """TFResNetModel""",
					    """TFResNetPreTrainedModel""",
					]

try:
					if not is_flax_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_lowercase 							=       [
					    """FlaxResNetForImageClassification""",
					    """FlaxResNetModel""",
					    """FlaxResNetPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_resnet import (
										    RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    ResNetBackbone,
										    ResNetForImageClassification,
										    ResNetModel,
										    ResNetPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_resnet import (
										    TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFResNetForImageClassification,
										    TFResNetModel,
										    TFResNetPreTrainedModel,
										)

					try:
										if not is_flax_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
					import sys

					_lowercase 							=       _LazyModule(__name__, globals()["""__file__"""], _import_structure)










def   lowerCamelCase__       (       )     ->	int:



					'''simple docstring'''




					return 1





def   lowerCamelCase__       (       UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




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





def   lowerCamelCase__       (       UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




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





def   lowerCamelCase__       (       UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




					return 0 if x < 0 else ten_pence(x - 10  ) + five_pence(UpperCamelCase__  )





def   lowerCamelCase__       (       UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




					return 0 if x < 0 else twenty_pence(x - 20  ) + ten_pence(UpperCamelCase__  )





def   lowerCamelCase__       (       UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




					return 0 if x < 0 else fifty_pence(x - 50  ) + twenty_pence(UpperCamelCase__  )





def   lowerCamelCase__       (       UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




					return 0 if x < 0 else one_pound(x - 100  ) + fifty_pence(UpperCamelCase__  )





def   lowerCamelCase__       (       UpperCamelCase__     :    int  )     ->	int:



					'''simple docstring'''




					return 0 if x < 0 else two_pound(x - 200  ) + one_pound(UpperCamelCase__  )





def   lowerCamelCase__       (       UpperCamelCase__     :    int = 200  )     ->	int:



					'''simple docstring'''




					return two_pound(UpperCamelCase__  )


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



