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1 # numpy and scipy are available for use 2 import numpy as np 3 import scipy 4 # a simple parser for python. use get_number() and get_word() to read 5 6 7 def parser(): 8 while 1: 9 data = list(input().split(' ')) 10 for number in data: 11 if len(number) > 0: 12 yield(number) 13 14 15 input_parser = parser() 16 17 18 def get_word(): 19 global input_parser 20 return next(input_parser) 21 22 23 def get_number(): 24 data = get_word() 25 try: 26 return int(data) 27 except ValueError: 28 return float(data) 29 30 array = 0 31 32 n = get_number() 33 for i in range(0, n): 34 np.append(array, i) 35 36 print(array) 37 38 39

Standard input The first line of the input contains a positive integer N indicating the number of stars Each of the following i lines, 1 X, indicates the start (S) and finish (F) times of each star together with the desirability Di of seeing that star. Standard output Print the sum of the desirability of the stars included in the schedule on the first line. Standard input The first line of the input contains a positive integer N indicating the number of stars Each of the following i lines, 1 X, indicates the start (S) and finish (F) times of each star together with the desirability Di of seeing that star. Standard output Print the sum of the desirability of the stars included in the schedule on the first line