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Copy path120.三角形最小路径和.py
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120.三角形最小路径和.py
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#
# @lc app=leetcode.cn id=120 lang=python3
#
# [120] 三角形最小路径和
#
from typing import List
import functools
# @lc code=start
class Solution:
def _error(self, triangle: List[List[int]]) -> int:
return sum([min(_) for _ in triangle])
def recursion(self, triangle: List[List[int]]) -> int:
@functools.lru_cache(None)
def dp(i, j):
# 递归 动态规划
if i == len(triangle)-1:
return triangle[i][j]
return triangle[i][j] + min(dp(i+1, j), dp(i+1, j+1))
return dp(0,0)
def dp_grid(self, triangle: List[List[int]]) -> int:
# 状态动态规划
dp = triangle[-1]
for i in range(len(triangle)-2,-1,-1):
for j in range(i+1):
dp[j] = triangle[i][j] + min(dp[j],dp[j+1])
return dp[0]
def minimumTotal(self, triangle: List[List[int]]) -> int:
return {
1:lambda triangle:self.recursion(triangle),
2:lambda triangle:self.dp_grid(triangle)
}[2](triangle)
# n = len(triangle)
# f = [0] * n
# f[0] = triangle[0][0]
# for i in range(1, n):
# print(f)
# f[i] = f[i - 1] + triangle[i][i]
# print(f)
# for j in range(i - 1, 0, -1):
# print(f)
# f[j] = min(f[j - 1], f[j]) + triangle[i][j]
# print(f)
# f[0] += triangle[i][0]
# print(min(f))
# return min(f)
# @lc code=end
if __name__ == "__main__":
test = Solution()
test.minimumTotal([[2],[3,4],[6,5,7],[4,1,8,3]])