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You are given an array start where start = [startX, startY] represents your initial position (startX, startY) in a 2D space. You are also given the array target where target = [targetX, targetY] represents your target position (targetX, targetY).
The cost of going from a position (x1, y1) to any other position in the space (x2, y2) is |x2 - x1| + |y2 - y1|.
There are also some special roads. You are given a 2D array specialRoads where specialRoads[i] = [x1i, y1i, x2i, y2i, costi] indicates that the ith special road goes in one direction from (x1i, y1i) to (x2i, y2i) with a cost equal to costi. You can use each special road any number of times.
Return the minimum cost required to go from (startX, startY) to (targetX, targetY).
Example 1:
Input: start = [1,1], target = [4,5], specialRoads = [[1,2,3,3,2],[3,4,4,5,1]]
Output: 5
Explanation:
specialRoads[0] with the cost 2.specialRoads[1] with the cost 1.So the total cost is 1 + 2 + 1 + 1 = 5.
Example 2:
Input: start = [3,2], target = [5,7], specialRoads = [[5,7,3,2,1],[3,2,3,4,4],[3,3,5,5,5],[3,4,5,6,6]]
Output: 7
Explanation:
It is optimal not to use any special edges and go directly from the starting to the ending position with a cost |5 - 3| + |7 - 2| = 7.
Note that the specialRoads[0] is directed from (5,7) to (3,2).
Example 3:
Input: start = [1,1], target = [10,4], specialRoads = [[4,2,1,1,3],[1,2,7,4,4],[10,3,6,1,2],[6,1,1,2,3]]
Output: 8
Explanation:
specialRoads[1] with the cost 4.Constraints:
start.length == target.length == 21 <= startX <= targetX <= 1051 <= startY <= targetY <= 1051 <= specialRoads.length <= 200specialRoads[i].length == 5startX <= x1i, x2i <= targetXstartY <= y1i, y2i <= targetY1 <= costi <= 105Greg Hogg