Skip to main content

Double Pointers - Question 2

2337. Move Pieces to Obtain a String

You are given two strings start and target, both of length n. Each string consists only of the characters 'L', 'R', and '_' where:

The characters 'L' and 'R' represent pieces, where a piece 'L' can move to the left only if there is a blank space directly to its left, and a piece 'R' can move to the right only if there is a blank space directly to its right.
The character '_' represents a blank space that can be occupied by any of the 'L' or 'R' pieces.
Return true if it is possible to obtain the string target by moving the pieces of the string start any number of times. Otherwise, return false.

Constraints:

n == start.length == target.length
1 <= n <= 10^5
start and target consist of the characters 'L', 'R', and '_'.


Analysis:

The n could be pretty large, so we need to find an algorithm either O(N) or O(Nlog(N)).

Some key observations:

1. the number of L should be the same;
2. the number of R should be the same;
3. the corresponding index of L of start should always be larger or equal to that in target;
4. the corresponding index of L of start should always be smaller or equal to that in target.

For 3 & 4 above, we can consider to use the two-pointer method: one for the start string, and the other for the target.

For each of them, we can just scan if the char is '_';
Once find non '_' char, both should be same (o/w, just return false);
If it is the 'L' char, then if the first index p1 < p2, return false;
If it is the 'R' char, then if p1 > p2, return false.

If can finish the loop, return true.

The time complexity is O(N), and the space complexity is O(1).

See the code below:

class Solution {
public:
    bool canChange(string start, string target) {
        int n = start.size(), i = 0, j = 0;
        while(i < n || j < n) {
            while(i < n && start[i] == '_') ++i;
            while(j < n && target[j] == '_') ++j;
            if(i == n) return j == n;
            if(j == n) return i == n;
            if(start[i] != target[j]) return false;
            if(start[i] == 'L' && i < j) return false;
            if(start[i] == 'R' && i > j) return false;
            ++i;
            ++j;
        }
        return true;
    }
};







Comments

Popular posts from this blog

Dynamic Programming - Easy Level - Question 1

Dynamic Programming - Easy Level - Question 1 Leetcode 1646  Get Maximum in Generated Array You are given an integer n. An array nums of length n + 1 is generated in the following way: nums[0] = 0 nums[1] = 1 nums[2 * i] = nums[i] when 2 <= 2 * i <= n nums[2 * i + 1] = nums[i] + nums[i + 1] when 2 <= 2 * i + 1 <= n Return the maximum integer in the array nums​​​. Constraints: 0 <= n <= 100 Analysis: This question is quick straightforward: the state and transitional formula are given; the initialization is also given. So we can just ready the code to iterate all the states and find the maximum. See the code below: class Solution { public: int getMaximumGenerated(int n) { int res = 0; if(n<2) return n; vector<int> f(n+1, 0); f[1] = 1; for(int i=2; i<=n; ++i) { if(i&1) f[i] = f[i/2] + f[i/2+1]; else f[i] = f[i/2]; // cout<<i<<" "<<f[i]<<endl; ...

Binary Search - Example

Binary Search - Example Leetcode 35  Search Insert Position Given a sorted array of distinct integers and a target value, return the index if the target is found. If not, return the index where it would be if it were inserted in order. You must write an algorithm with O(log n) runtime complexity. Constraints: 1 <= nums.length <= 10^4 -10^4 <= nums[i] <= 10^4 nums contains distinct values sorted in ascending order. -10^4 <= target <= 10^4 Analysis: The array is sorted, so we just need to run a routine binary search. Make a guest first, then based on the guessed result, we can adjust the search range. See the code below: class Solution { public: int searchInsert(vector<int>& nums, int target) { int left = 0, right = nums.size(); while(left < right) { int mid = left + (right - left) / 2; if(nums[mid] < target) left = mid + 1; else right = mid; } return left; } }; If you know t...