from helpers import * from multiprocessing import Pool lines = read_day(19).split('\n') sample_lines = ''' Blueprint 1: Each ore robot costs 4 ore. Each clay robot costs 2 ore. Each obsidian robot costs 3 ore and 14 clay. Each geode robot costs 2 ore and 7 obsidian. Blueprint 2: Each ore robot costs 2 ore. Each clay robot costs 3 ore. Each obsidian robot costs 3 ore and 8 clay. Each geode robot costs 3 ore and 12 obsidian. '''.strip().split('\n') maximum_potential = np.arange(32).cumsum() def bp_quality(line, t_max=24): bp, cost_orebot_ore, cost_claybot_ore, cost_obsbot_ore, cost_obsbot_clay, cost_geodebot_ore, cost_geodebot_obs = line_to_numbers(line) print(line) # Ore, Clay, Obsidian, Geode orebot_cost = np.array([cost_orebot_ore, 0, 0], dtype=np.int8) claybot_cost = np.array([cost_claybot_ore, 0, 0], dtype=np.int8) obsbot_cost = np.array([cost_obsbot_ore, cost_obsbot_clay, 0], dtype=np.int8) geodebot_cost = np.array([cost_geodebot_ore, 0, cost_geodebot_obs], dtype=np.int8) robot_orders = ( # Special ordering to try and hit best case earliest ((0,1,0), claybot_cost), ((1,0,0), orebot_cost), ((0,0,1), obsbot_cost), (None, geodebot_cost), ) search_stack = [] SEEN = set() def add_state(t, robot_counts, res_counts, geodes_total): state = (t, tuple(robot_counts), tuple(res_counts), geodes_total) if state not in SEEN: search_stack.append((t, robot_counts, res_counts, geodes_total)) SEEN.add(state) add_state(0, np.array((1,0,0), dtype=np.int8), np.array((0,0,0), dtype=np.int8), 0) geodes_best = 0 while len(search_stack) > 0: t, robot_counts, res_counts, geodes_total = search_stack.pop() if (geodes_total + maximum_potential[t_max-t]) < geodes_best: continue if t < t_max: for inc, cost in robot_orders: mask = cost > 0 # Only look at resources within the cost if np.any(robot_counts[mask] == 0): # no robot no income, we can't just wait to build it continue time_to_resources = max(-(-(cost[mask] - res_counts[mask]) // robot_counts[mask])) dt = max(0, time_to_resources) + 1 # Always need one minute to build something after having the resources ready nt = t + dt if nt < t_max: # Nothing interesting can happen on the very last minute new_res = res_counts + (dt * robot_counts) - cost if inc is None: # Special case for Geodebots add_state(nt, robot_counts, new_res, geodes_total+(t_max-nt)) else: add_state(nt, robot_counts + inc, new_res, geodes_total) geodes_best = max(geodes_best, geodes_total) quality = bp * geodes_best print(f'Blueprint {bp}: max geodes {geodes_best}, quality number = {quality}') return bp, geodes_best, quality if __name__ == '__main__': # with Pool(8) as p: # # Maximize geodes in 24 minutes # qual_tally = sum([quality for bp, max_geodes, quality in p.map(bp_quality, lines)]) # print(f'Part 1: {qual_tally}') # max_prod = prod([max_geodes for bp, max_geodes, quality in p.map(lambda x: bp_quality(x, 32), lines[:3])]) # print(f'Part 2: {max_prod}') qual_tally = sum((bp_quality(line)[-1] for line in lines)) print(f'Part 1: {qual_tally}')