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PaintHouseIII.py
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73 lines (55 loc) · 2.79 KB
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# -*- coding: utf-8 -*-
# @File : PaintHouseIII.py
# @Date : 2020-09-22
# @Author : tc
"""
题号 1473. 给房子涂色III
在一个小城市里,有 m 个房子排成一排,你需要给每个房子涂上 n 种颜色之一(颜色编号为 1 到 n )。有的房子去年夏天已经涂过颜色了,所以这些房子不需要被重新涂色。
我们将连续相同颜色尽可能多的房子称为一个街区。(比方说 houses = [1,2,2,3,3,2,1,1] ,它包含 5 个街区 [{1}, {2,2}, {3,3}, {2}, {1,1}] 。)
给你一个数组 houses ,一个 m * n 的矩阵 cost 和一个整数 target ,其中:
houses[i]:是第 i 个房子的颜色,0 表示这个房子还没有被涂色。
cost[i][j]:是将第 i 个房子涂成颜色 j+1 的花费。
请你返回房子涂色方案的最小总花费,使得每个房子都被涂色后,恰好组成 target 个街区。如果没有可用的涂色方案,请返回 -1 。
示例 1:
输入:houses = [0,0,0,0,0], cost = [[1,10],[10,1],[10,1],[1,10],[5,1]], m = 5, n = 2, target = 3
输出:9
解释:房子涂色方案为 [1,2,2,1,1]
此方案包含 target = 3 个街区,分别是 [{1}, {2,2}, {1,1}]。
涂色的总花费为 (1 + 1 + 1 + 1 + 5) = 9。
示例 2:
输入:houses = [0,2,1,2,0], cost = [[1,10],[10,1],[10,1],[1,10],[5,1]], m = 5, n = 2, target = 3
输出:11
解释:有的房子已经被涂色了,在此基础上涂色方案为 [2,2,1,2,2]
此方案包含 target = 3 个街区,分别是 [{2,2}, {1}, {2,2}]。
给第一个和最后一个房子涂色的花费为 (10 + 1) = 11。
示例 3:
输入:houses = [0,0,0,0,0], cost = [[1,10],[10,1],[1,10],[10,1],[1,10]], m = 5, n = 2, target = 5
输出:5
示例 4:
输入:houses = [3,1,2,3], cost = [[1,1,1],[1,1,1],[1,1,1],[1,1,1]], m = 4, n = 3, target = 3
输出:-1
解释:房子已经被涂色并组成了 4 个街区,分别是 [{3},{1},{2},{3}] ,无法形成 target = 3 个街区。
提示:
m == houses.length == cost.length
n == cost[i].length
1 <= m <= 100
1 <= n <= 20
1 <= target <= m
0 <= houses[i] <= n
1 <= cost[i][j] <= 10^4
参考:https://leetcode.com/problems/paint-house-iii/discuss/674485/Python-Solution
"""
from typing import List
class Solution:
def minCost(self, houses: List[int], cost: List[List[int]], m: int, n: int, target: int) -> int:
dp, dp2 = {(0, 0): 0}, {}
for i, a in enumerate(houses):
for cj in (range(1, n + 1) if a == 0 else [a]):
for ci, b in dp:
b2 = b + (ci != cj)
if b2 > target: continue
dp2[cj, b2] = min(dp2.get((cj, b2), float('inf')), dp[ci, b] + (cost[i][cj - 1] if cj != a else 0))
dp, dp2 = dp2, {}
return min([dp[c, b] for c, b in dp if b == target] or [-1])
if __name__ == '__main__':
pass