Tmp
This commit is contained in:
Mikael CAPELLE
parent
01300e23b2
commit
ddebd26db2
547
2022/day19.py
547
2022/day19.py
@ -3,9 +3,13 @@
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import heapq
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import math
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import sys
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import time
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from collections import defaultdict
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from typing import Literal, TypedDict
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import numpy as np
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from tqdm import tqdm
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Reagent = Literal["ore", "clay", "obsidian", "geode"]
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REAGENTS: tuple[Reagent] = (
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"ore",
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@ -63,7 +67,7 @@ class State:
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def __lt__(self, other) -> bool:
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return isinstance(other, State) and tuple(
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(self.robots[r], self.reagents[r]) for r in REAGENTS
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) < tuple((other.robots[r], other.reagents[r]) for r in REAGENTS)
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) > tuple((other.robots[r], other.reagents[r]) for r in REAGENTS)
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def __hash__(self) -> int:
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return hash(tuple((self.robots[r], self.reagents[r]) for r in REAGENTS))
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@ -85,224 +89,245 @@ def dominates(lhs: State, rhs: State):
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)
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MAX_TIME = 24
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blueprint = blueprints[1]
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# parents: dict[State, tuple[State | None, int]] = {State(): (None, 0)}
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# queue = [(0, State())]
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# visited: set[State] = set()
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# at_time: dict[int, list[State]] = defaultdict(lambda: [])
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# while queue:
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# time, state = heapq.heappop(queue)
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# if state in visited:
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# continue
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# print(time, state)
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# visited.add(state)
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# at_time[time].append(state)
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# if time > MAX_TIME:
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# continue
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# if len(queue) % 200 == 0:
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# print(len(queue), len(visited), time)
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# can_build_any: bool = False
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# for reagent in REAGENTS:
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# needed = blueprint[reagent]
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# if any(state.robots[r] == 0 for r in needed):
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# continue
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# time_to_complete = max(
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# max(
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# math.ceil((needed[r] - state.reagents[r]) / state.robots[r])
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# for r in needed
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# ),
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# 0,
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# )
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# # if time_to_complete != 0:
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# # continue
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# if time + time_to_complete + 1 > MAX_TIME:
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# continue
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# wait = time_to_complete + 1
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# reagents = {
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# r: state.reagents[r] + wait * state.robots[r] - needed.get(r, 0)
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# for r in REAGENTS
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# }
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# robots = state.robots.copy()
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# robots[reagent] += 1
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# state_2 = State(reagents=reagents, robots=robots)
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# if state_2 in visited:
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# continue
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# if any(dominates(state_v, state_2) for state_v in at_time[time + wait]):
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# continue
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# # print(time + wait)
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# # if any(dominates(state_3, state_2) for state_3 in at_time[time + wait]):
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# # print("?")
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# # continue
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# if state_2 not in parents or parents[state_2][1] > time + wait:
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# parents[state_2] = (state, time + wait)
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# heapq.heappush(queue, (time + wait, state_2))
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# can_build_any = True
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# at_time[time + wait].append(state_2)
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# if not can_build_any:
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# state_2 = State(
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# reagents={
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# r: state.reagents[r] + state.robots[r] * (MAX_TIME - time)
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# for r in REAGENTS
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# },
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# robots=state.robots,
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# )
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# if state_2 in visited:
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# continue
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# if state_2 not in parents or parents[state_2][1] > time + wait:
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# parents[state_2] = (state, MAX_TIME)
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# heapq.heappush(queue, (MAX_TIME, state_2))
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# print(len(visited))
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# print(max(state.reagents["geode"] for state in visited))
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# exit()
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# while states:
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# state = states.pop()
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# processed.append(state)
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# if state.time > MAX_TIME:
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# continue
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# if len(states) % 100 == 0:
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# print(len(states), len(processed), min((s.time for s in states), default=1))
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# can_build_any: bool = False
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# for reagent in REAGENTS:
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# needed = blueprint[reagent]
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# if any(state.robots[r] == 0 for r in needed):
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# continue
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# time_to_complete = max(
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# max(
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# math.ceil((needed[r] - state.reagents[r]) / state.robots[r])
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# for r in needed
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# ),
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# 0,
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# )
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# if state.time + time_to_complete + 1 > MAX_TIME:
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# continue
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# wait = time_to_complete + 1
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# reagents = {
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# r: state.reagents[r] + wait * state.robots[r] - needed.get(r, 0)
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# for r in REAGENTS
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# }
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# robots = state.robots.copy()
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# robots[reagent] += 1
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# can_build_any = True
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# state_2 = State(time=state.time + wait, reagents=reagents, robots=robots)
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# # print(f"{state} -> {state_2}")
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# states.add(state_2)
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# if not any(dominates(s2, state_2) for s2 in states):
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# states.add(state)
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# # print(f"can build {reagent} in {time_to_complete}")
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# if not can_build_any:
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# states.add(
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# State(
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# time=MAX_TIME + 1,
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# reagents={
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# r: state.reagents[r] + state.robots[r] * (MAX_TIME - state.time)
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# for r in REAGENTS
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# },
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# robots=state.robots,
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# )
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# )
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# if len(states) % 1000 == 0:
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# print("filtering")
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# states = {
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# s1
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# for s1 in states
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# if not any(dominates(s2, s1) for s2 in states if s2 is not s1)
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# }
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# # if len(states) > 4:
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# # break
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# # break
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# print(len(processed))
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# print(max(state.reagents["geode"] for state in processed))
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# exit()
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# for t in range(1, 25):
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# states = set()
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# for state in state_after_t[t - 1]:
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# robots_that_can_be_built = [
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# robot
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# for robot in REAGENTS
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# if all(
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# state.reagents[reagent] >= blueprint[robot].get(reagent, 0)
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# for reagent in REAGENTS
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# )
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# ]
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# new_states = set()
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# # new reagents
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# reagents = {
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# reagent: state.reagents[reagent] + state.robots[reagent]
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# for reagent in REAGENTS
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# }
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# # if we can build anything, there is no point in waiting
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# if len(robots_that_can_be_built) != len(REAGENTS):
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# new_states.add(State(robots=state.robots, reagents=reagents))
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# for robot in robots_that_can_be_built:
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# robots = state.robots.copy()
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# robots[robot] += 1
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# reagents = {
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# reagent: state.reagents[reagent]
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# + state.robots[reagent]
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# - blueprint[robot].get(reagent, 0)
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# for reagent in REAGENTS
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# }
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# new_states.add(State(robots=robots, reagents=reagents))
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# new_states = [
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# s1
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# for s1 in new_states
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# if not any(s1 is not s2 and dominates(s2, s1) for s2 in new_states)
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# ]
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# states = {
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# s1 for s1 in states if not any(dominates(s2, s1) for s2 in new_states)
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# }
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# states.update(new_states)
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# state_after_t[t] = states
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# exit()
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MAX_TIME = 24
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blueprint = blueprints[0]
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parents: dict[State, tuple[State | None, int]] = {State(): (None, 0)}
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queue = [(0, State())]
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visited: set[State] = set()
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at_time: dict[int, list[State]] = defaultdict(lambda: [])
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while queue:
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time, state = heapq.heappop(queue)
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if state in visited:
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continue
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visited.add(state)
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# if any(dominates(state_3, state) for state_3 in at_time[time]):
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# continue
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at_time[time].append(state)
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if time > MAX_TIME:
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continue
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if len(queue) % 500 == 0:
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print(len(queue), len(visited), time)
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can_build_any: bool = False
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for reagent in REAGENTS:
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needed = blueprint[reagent]
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if any(state.robots[r] == 0 for r in needed):
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continue
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time_to_complete = max(
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max(
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math.ceil((needed[r] - state.reagents[r]) / state.robots[r])
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for r in needed
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),
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0,
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)
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if time + time_to_complete + 1 > MAX_TIME:
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continue
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wait = time_to_complete + 1
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reagents = {
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r: state.reagents[r] + wait * state.robots[r] - needed.get(r, 0)
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for r in REAGENTS
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}
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robots = state.robots.copy()
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robots[reagent] += 1
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state_2 = State(reagents=reagents, robots=robots)
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print(time + wait)
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if any(dominates(state_3, state_2) for state_3 in at_time[time + wait]):
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continue
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if state_2 not in parents or parents[state_2][1] > time + wait:
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parents[state_2] = (state, time + wait)
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heapq.heappush(queue, (time + wait, state_2))
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can_build_any = True
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if not can_build_any:
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state_2 = State(
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reagents={
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r: state.reagents[r] + state.robots[r] * (MAX_TIME - time)
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for r in REAGENTS
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},
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robots=state.robots,
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)
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if state_2 not in parents or parents[state_2][1] > time + wait:
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parents[state_2] = (state, time + wait)
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heapq.heappush(queue, (time + wait, state_2))
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print(len(visited))
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print(max(state.reagents["geode"] for state in visited))
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exit()
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while states:
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state = states.pop()
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processed.append(state)
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if state.time > MAX_TIME:
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continue
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if len(states) % 100 == 0:
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print(len(states), len(processed), min((s.time for s in states), default=1))
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can_build_any: bool = False
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for reagent in REAGENTS:
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needed = blueprint[reagent]
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if any(state.robots[r] == 0 for r in needed):
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continue
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time_to_complete = max(
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max(
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math.ceil((needed[r] - state.reagents[r]) / state.robots[r])
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for r in needed
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),
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0,
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)
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if state.time + time_to_complete + 1 > MAX_TIME:
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continue
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wait = time_to_complete + 1
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reagents = {
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r: state.reagents[r] + wait * state.robots[r] - needed.get(r, 0)
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for r in REAGENTS
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}
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robots = state.robots.copy()
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robots[reagent] += 1
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can_build_any = True
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state_2 = State(time=state.time + wait, reagents=reagents, robots=robots)
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# print(f"{state} -> {state_2}")
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states.add(state_2)
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if not any(dominates(s2, state_2) for s2 in states):
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states.add(state)
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# print(f"can build {reagent} in {time_to_complete}")
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if not can_build_any:
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states.add(
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State(
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time=MAX_TIME + 1,
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reagents={
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r: state.reagents[r] + state.robots[r] * (MAX_TIME - state.time)
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for r in REAGENTS
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},
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robots=state.robots,
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)
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)
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if len(states) % 1000 == 0:
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print("filtering")
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states = {
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s1
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for s1 in states
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if not any(dominates(s2, s1) for s2 in states if s2 is not s1)
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}
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# if len(states) > 4:
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# break
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# break
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print(len(processed))
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print(max(state.reagents["geode"] for state in processed))
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exit()
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for t in range(1, 25):
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states = set()
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for state in state_after_t[t - 1]:
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robots_that_can_be_built = [
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robot
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for robot in REAGENTS
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if all(
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state.reagents[reagent] >= blueprint[robot].get(reagent, 0)
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for reagent in REAGENTS
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)
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]
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new_states = set()
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# new reagents
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reagents = {
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reagent: state.reagents[reagent] + state.robots[reagent]
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for reagent in REAGENTS
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}
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# if we can build anything, there is no point in waiting
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if len(robots_that_can_be_built) != len(REAGENTS):
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new_states.add(State(robots=state.robots, reagents=reagents))
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for robot in robots_that_can_be_built:
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robots = state.robots.copy()
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robots[robot] += 1
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reagents = {
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reagent: state.reagents[reagent]
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+ state.robots[reagent]
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- blueprint[robot].get(reagent, 0)
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for reagent in REAGENTS
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}
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new_states.add(State(robots=robots, reagents=reagents))
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new_states = [
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s1
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for s1 in new_states
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if not any(s1 is not s2 and dominates(s2, s1) for s2 in new_states)
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]
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states = {
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s1 for s1 in states if not any(dominates(s2, s1) for s2 in new_states)
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}
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states.update(new_states)
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state_after_t[t] = states
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exit()
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state_after_t: dict[int, list[State]] = {0: [State()]}
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for t in range(1, 25):
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print(t, len(state_after_t[t - 1]))
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state_after_t[t] = set()
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bests_for_robots: dict[tuple[int, ...], set[State]] = {}
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bests_for_reagents: dict[tuple[int, ...], set[State]] = {}
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bests_for_robots: dict[tuple[int, ...], list[State]] = {}
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bests_for_reagents: dict[tuple[int, ...], list[State]] = {}
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state_after_t[t] = []
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t1 = time.time()
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for state in state_after_t[t - 1]:
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robots_that_can_be_built = [
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@ -324,11 +349,9 @@ for t in range(1, 25):
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}
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# if we can build anything, there is no point in waiting
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new_states.add(State(robots=state.robots, reagents=reagents, last=None))
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new_states.add(State(robots=state.robots, reagents=reagents))
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for robot in robots_that_can_be_built:
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if robot == state.last:
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continue
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robots = state.robots.copy()
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robots[robot] += 1
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reagents = {
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@ -337,12 +360,12 @@ for t in range(1, 25):
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- blueprint[robot].get(reagent, 0)
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for reagent in REAGENTS
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}
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new_states.add(State(robots=robots, reagents=reagents, last=robot))
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new_states.add(State(robots=robots, reagents=reagents))
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for s1 in new_states:
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r1 = tuple(s1.robots[r] for r in REAGENTS)
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if r1 not in bests_for_robots:
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bests_for_robots[r1] = {s1}
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bests_for_robots[r1] = [s1]
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else:
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is_dominated = False
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for s2 in bests_for_robots[r1]:
|
||||
@ -350,11 +373,11 @@ for t in range(1, 25):
|
||||
is_dominated = True
|
||||
break
|
||||
if not is_dominated:
|
||||
bests_for_robots[r1].add(s1)
|
||||
bests_for_robots[r1].append(s1)
|
||||
|
||||
r2 = tuple(s1.reagents[r] for r in REAGENTS)
|
||||
if r2 not in bests_for_reagents:
|
||||
bests_for_reagents[r2] = {s1}
|
||||
bests_for_reagents[r2] = [s1]
|
||||
else:
|
||||
is_dominated = False
|
||||
for s2 in bests_for_reagents[r2]:
|
||||
@ -362,20 +385,22 @@ for t in range(1, 25):
|
||||
is_dominated = True
|
||||
break
|
||||
if not is_dominated:
|
||||
bests_for_reagents[r2].add(s1)
|
||||
bests_for_reagents[r2].append(s1)
|
||||
# state_after_t[t].extend(new_states)
|
||||
|
||||
t2 = time.time()
|
||||
|
||||
state_after_t[t] = set()
|
||||
for bests in bests_for_robots.values():
|
||||
dominated = [False for _ in range(len(bests))]
|
||||
for i_s1, s1 in enumerate(bests):
|
||||
if dominated[i_s1]:
|
||||
continue
|
||||
for i_s2, s2 in enumerate(bests):
|
||||
if s1 is s2 or dominated[i_s2]:
|
||||
for i_s2, s2 in enumerate(bests[i_s1 + 1 :], start=i_s1 + 1):
|
||||
if dominated[i_s2]:
|
||||
continue
|
||||
if all(s1.reagents[r] >= s2.reagents[r] for r in REAGENTS):
|
||||
dominated[i_s2] = True
|
||||
state_after_t[t].update(
|
||||
state_after_t[t].extend(
|
||||
s1 for i_s1, s1 in enumerate(bests) if not dominated[i_s1]
|
||||
)
|
||||
for bests in bests_for_reagents.values():
|
||||
@ -383,31 +408,77 @@ for t in range(1, 25):
|
||||
for i_s1, s1 in enumerate(bests):
|
||||
if dominated[i_s1]:
|
||||
continue
|
||||
for i_s2, s2 in enumerate(bests):
|
||||
if s1 is s2 or dominated[i_s2]:
|
||||
for i_s2, s2 in enumerate(bests[i_s1 + 1 :], start=i_s1 + 1):
|
||||
if dominated[i_s2]:
|
||||
continue
|
||||
if all(s1.robots[r] >= s2.robots[r] for r in REAGENTS):
|
||||
dominated[i_s2] = True
|
||||
state_after_t[t].update(
|
||||
state_after_t[t].extend(
|
||||
s1 for i_s1, s1 in enumerate(bests) if not dominated[i_s1]
|
||||
)
|
||||
|
||||
t3 = time.time()
|
||||
|
||||
np_states = np.array(
|
||||
[
|
||||
[state.robots[r] for r in REAGENTS] + [state.reagents[r] for r in REAGENTS]
|
||||
for state in state_after_t[t]
|
||||
]
|
||||
)
|
||||
dominated = np.zeros(len(np_states), dtype=bool)
|
||||
|
||||
t4 = time.time()
|
||||
|
||||
# c = (np_states[None, :, :] <= np_states[:, None, :]).all(axis=-1)
|
||||
# c[np.arange(len(np_states)), np.arange(len(np_states))] = False
|
||||
# dominated = c.any(axis=0)
|
||||
|
||||
for i in range(len(np_states)):
|
||||
if dominated[i]:
|
||||
continue
|
||||
dominated[i] = not (np_states[i + 1 :] <= np_states[i]).any(axis=1)
|
||||
|
||||
dominated[i + 1 :] = (np_states[i + 1 :] <= np_states[i]).all(axis=1)
|
||||
|
||||
t5 = time.time()
|
||||
|
||||
state_after_t[t] = list(np.array(state_after_t[t])[~dominated])
|
||||
|
||||
t6 = time.time()
|
||||
|
||||
print(
|
||||
"->",
|
||||
t,
|
||||
len(state_after_t[t]),
|
||||
dominated.sum(),
|
||||
t2 - t1,
|
||||
t3 - t2,
|
||||
t4 - t3,
|
||||
t5 - t4,
|
||||
t6 - t5,
|
||||
)
|
||||
|
||||
# print("->", len(state_after_t[t]))
|
||||
|
||||
# dominated = [False for _ in range(len(state_after_t[t]))]
|
||||
# print(t, "->", len(state_after_t[t]))
|
||||
# for i_s1, s1 in enumerate(state_after_t[t]):
|
||||
# keep = set()
|
||||
# for i_s1, s1 in enumerate(tqdm(state_after_t[t])):
|
||||
# if dominated[i_s1]:
|
||||
# continue
|
||||
# for i_s2, s2 in enumerate(state_after_t[t]):
|
||||
# if s1 is s2 or dominated[i_s2]:
|
||||
# for i_s2, s2 in enumerate(state_after_t[t][i_s1 + 1 :], start=i_s1 + 1):
|
||||
# if dominated[i_s2]:
|
||||
# continue
|
||||
# if all(s1.robots[r] >= s2.robots[r] for r in REAGENTS) and all(
|
||||
# s1.reagents[r] >= s2.reagents[r] for r in REAGENTS
|
||||
# ):
|
||||
# dominated[i_s2] = True
|
||||
|
||||
# state_after_t[t] = {
|
||||
# s1 for i_s1, s1 in enumerate(state_after_t[t]) if not dominated[i_s1]
|
||||
# }
|
||||
# if dominates(s1, s2):
|
||||
# dominated[i_s2] = True
|
||||
# elif dominates(s2, s1):
|
||||
# dominated[i_s1] = True
|
||||
# break
|
||||
|
||||
# if not dominated[i_s1]:
|
||||
# keep.add(s1)
|
||||
|
||||
# state_after_t[t] = list(keep)
|
||||
|
||||
# print(len(state_after_t[t]))
|
||||
# print(sum(dominated))
|
||||
|
||||
Loading…
Reference in New Issue
Block a user