

def 							__SCREAMING_SNAKE_CASE							(				)   ->       int:
				return 1

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int )   ->       int:
				return 0 if x < 0 else two_pence(x - 2 ) + one_pence()

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int )   ->       int:
				return 0 if x < 0 else five_pence(x - 5 ) + two_pence(lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int )   ->       int:
				return 0 if x < 0 else ten_pence(x - 10 ) + five_pence(lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int )   ->       int:
				return 0 if x < 0 else twenty_pence(x - 20 ) + ten_pence(lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int )   ->       int:
				return 0 if x < 0 else fifty_pence(x - 50 ) + twenty_pence(lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int )   ->       int:
				return 0 if x < 0 else one_pound(x - 100 ) + fifty_pence(lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int )   ->       int:
				return 0 if x < 0 else two_pound(x - 200 ) + one_pound(lowerCAmelCase )

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  int = 200 )   ->       int:
				return two_pound(lowerCAmelCase )


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





import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

class 				a  (	UpperCAmelCase				):


						def __init__(       self						,					*A_						,					**A_	):







										'''simple docstring'''


										warnings.warn(
										    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use PerceiverImageProcessor instead."						,					A_						,					)
										super().__init__(*A_						,					**A_	)


