Given an array w of positive integers, where w[i] describes the weight of index i, write a function pickIndex which randomly picks an index in proportion to its weight.
The input is two lists: the subroutines called and their arguments. Solution‘s constructor has one argument, the array w. pickIndex has no arguments. Arguments are always wrapped with a list, even if there aren’t any.
Solution: Binary Search
Crate a cumulative weight array, random sample a “weight”, do a binary search to see which bucket that weight falls in. e.g. w = [2, 3, 1, 4], sum = [2, 5, 6, 10] sample 3 => index = 1 sample 7 => index = 3
Time complexity: Init: O(n) Pick: O(logn) Space complexity: O(n)
In an n*n grid, there is a snake that spans 2 cells and starts moving from the top left corner at (0, 0) and (0, 1). The grid has empty cells represented by zeros and blocked cells represented by ones. The snake wants to reach the lower right corner at (n-1, n-2) and (n-1, n-1).
In one move the snake can:
Move one cell to the right if there are no blocked cells there. This move keeps the horizontal/vertical position of the snake as it is.
Move down one cell if there are no blocked cells there. This move keeps the horizontal/vertical position of the snake as it is.
Rotate clockwise if it’s in a horizontal position and the two cells under it are both empty. In that case the snake moves from (r, c) and (r, c+1) to (r, c) and (r+1, c).
Rotate counterclockwise if it’s in a vertical position and the two cells to its right are both empty. In that case the snake moves from (r, c) and (r+1, c) to (r, c) and (r, c+1).
Return the minimum number of moves to reach the target.
If there is no way to reach the target, return -1.
Example 1:
Input: grid = [[0,0,0,0,0,1],
[1,1,0,0,1,0],
[0,0,0,0,1,1],
[0,0,1,0,1,0],
[0,1,1,0,0,0],
[0,1,1,0,0,0]]
Output: 11
Explanation:
One possible solution is [right, right, rotate clockwise, right, down, down, down, down, rotate counterclockwise, right, down].
dp[i][j].first = min steps to reach i,j (tail pos) facing right dp[i][j].second = min steps to reach i, j (tail pos) facing down ans = dp[n][n-1].first