On a 2D plane, there are n points with integer coordinates points[i] = [xi, yi]. Return the minimum time in seconds to visit all the points in the order given by points.
You can move according to these rules:
- In 1 second, you can either:
- move vertically by one unit,
- move horizontally by one unit, or
- move diagonally sqrt(2) units (in other words, move one unit vertically then one unit horizontally in 1 second).
- You have to visit the points in the same order as they appear in the array.
- You are allowed to pass through points that appear later in the order, but these do not count as visits.
Example 1:
Input: points = [[1,1],[3,4],[-1,0]]
Output: 7
Explanation: One optimal path is [1,1] -> [2,2] -> [3,3] -> [3,4] -> [2,3] -> [1,2] -> [0,1] -> [-1,0]
Time from [1,1] to [3,4] = 3 seconds
Time from [3,4] to [-1,0] = 4 seconds
Total time = 7 seconds
Example 2:
Input: points = [[3,2],[-2,2]]
Output: 5
Constraints:
- points.length == n
- 1 <= n <= 100
- points[i].length == 2
- -1000 <= points[i][0], points[i][1] <= 1000
Solution in python:
class Solution:
def minTimeToVisitAllPoints(self, points: List[List[int]]) -> int:
count = 0
origin = points[0]
i = 1
while i < len(points):
if points[i][0] == origin[0]:
count += abs(points[i][1]-origin[1])
elif points[i][1] == origin[1]:
count += abs(points[i][0]-origin[0])
else:
dx = abs(points[i][0]-origin[0])
dy = abs(points[i][1]-origin[1])
count += min(dx, dy) + abs(dx-dy)
origin = points[i]
i += 1
return count
留言