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2024 day 14 part 2
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@ -8,9 +8,10 @@ def parse_bots(lines):
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return [lines[i:i+2] for i in range(0, len(lines), 2)] # [(pos, velocity), ...]
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def simulate_bots(bots, grid_size, steps=100):
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def simulate_bots(bots, grid_size, steps=100, part2=False):
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step = 0
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width, height = grid_size
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stats = []
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while step < steps:
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new_bots = []
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for pos, velocity in bots:
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@ -26,7 +27,13 @@ def simulate_bots(bots, grid_size, steps=100):
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new_bots.append((pos, velocity))
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bots = new_bots
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step += 1
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return [pos for pos, _ in bots]
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if part2:
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# search step which maximizes safety value
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safety = calculate_safety(Counter([p for p, _ in bots]), grid_size)
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stats.append((safety, step))
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return [pos for pos, _ in bots], stats
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def determine_quadrant(pos, grid_size):
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@ -43,23 +50,34 @@ def determine_quadrant(pos, grid_size):
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return q
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def part1(bots, grid_size):
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bots = simulate_bots(bots, grid_size)
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c = Counter(bots)
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def calculate_safety(bots, grid_size):
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total_quadrants = [0, 0, 0, 0]
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for pos, count in c.items():
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for pos, count in bots.items():
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q = determine_quadrant(pos, grid_size)
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if q is None: # ignore middle row and col
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continue
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total_quadrants[q] += count
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#print_grid(c, grid_size)
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return prod(total_quadrants)
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def part1(bots, grid_size):
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bots, _ = simulate_bots(bots, grid_size)
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c = Counter(bots)
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return calculate_safety(c, grid_size)
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def part2(bots, grid_size):
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max_step = grid_size[0] * grid_size[1] # input is periodic
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_, stats = simulate_bots(bots, grid_size, max_step, part2=True)
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return sorted(stats)[0][1]
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def main(lines):
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bots = parse_bots(lines)
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total = part1(bots, grid_size)
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print("Part 1: ", total)
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p2 = part2(bots, grid_size)
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print("Part 2: ", p2)
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def print_grid(c, grid_size):
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