Created
December 12, 2019 08:11
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#!/usr/bin/env python3 | |
# -*- coding: utf8 -*- | |
import numpy as np | |
from re import compile | |
from math import gcd | |
def minsta_gemensamma(a, b): | |
return abs(a*b) // gcd(a, b) | |
data = open('12.in','r').read() | |
x = compile(r"<x=(-?\d+), y=(-?\d+), z=(-?\d+)>") | |
moons = np.array([[int(a) for a in x.match(m).groups()] for m in data.split("\n") if x.match(m) is not None], dtype=int) | |
velocities = np.zeros(moons.shape, dtype=int) | |
initial_position = moons.copy() | |
# Since the calculation is reversible, then if it repeats it must be a closed loop | |
# with no branches. Therefore the first repeated step must be the initial step. | |
steps = 0 | |
p1done = False | |
p2axes_complete = [False,False,False] | |
periods = 1 | |
while (not p1done) or (not all(p2axes_complete)): | |
for i in range(len(moons)): | |
for j in range(i+1, len(moons)): | |
diff = np.sign(moons[i,:] - moons[j,:]) | |
velocities[i,:] = velocities[i,:] - diff | |
velocities[j,:] = velocities[j,:] + diff | |
steps = steps + 1 | |
moons = moons + velocities | |
if steps == 1000: | |
print("Pt 1:", np.sum(np.sum(np.abs(moons), axis=1)*np.sum(np.abs(velocities), axis=1))) | |
p1done = True | |
for axis in range(3): | |
if p2axes_complete[axis]: | |
continue | |
if np.all(moons[:,axis] == initial_position[:,axis]) and np.all(velocities[:,axis] == 0): | |
p2axes_complete[axis] = True | |
print("Axis",axis,"complete at", steps,"steps") | |
periods = minsta_gemensamma(periods, steps) | |
if all(p2axes_complete): | |
print("Pt 2:", periods) |
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