Submission #4062103

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Source Code Expand

import numpy as np
n, y = np.array(list(input().split()), dtype=int)

vals = np.array([10000, 5000, 1000])

table = []
for c in range(n + 1):
    part = np.zeros((n + 1 - c, 3), dtype=int)
    part[:, 0] = c
    part[:, 1] = np.arange(n + 1 - c)
    table += [part]
table = np.concatenate(table)
table[:, 2] = n - table[:, 0:2].sum(axis=1)

accum = (table * vals).sum(axis=1)
flags = np.where(accum == y)[0]

if len(flags) == 0:
    print("-1 -1 -1")
else:
    nums = table[flags[0]]
    print("{} {} {}".format(*nums))

Submission Info

Judge Result