Given a triangle array, return the minimum path sum from top to bottom.
For each step, you may move to an adjacent number of the row below. More formally, if you are on index i on the current row, you may move to either index i or index i + 1 on the next row.
Example 1:
Input: triangle = [[2],[3,4],[6,5,7],[4,1,8,3]] Output: 11 Explanation: The triangle looks like: 2 3 4 6 5 7 4 1 8 3 The minimum path sum from top to bottom is 2 + 3 + 5 + 1 = 11 (underlined above).
Example 2:
Input: triangle = [[-10]] Output: -10
Constraints:
1 <= triangle.length <= 200triangle[0].length == 1triangle[i].length == triangle[i - 1].length + 1-104 <= triangle[i][j] <= 104
ChatGPT's Solution:
class Solution: def minimumTotal(self, triangle: List[List[int]]) -> int: # Start from the second-last row and go upward for row in range(len(triangle) - 2, -1, -1): for col in range(len(triangle[row])): # Update the current cell to include the min path sum below it triangle[row][col] += min(triangle[row + 1][col], triangle[row + 1][col + 1]) # The top element now contains the minimum path sum return triangle[0][0]


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