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Last Moment Before All Ants Fall Out of a Plank

In this page, we will solve the Last Moment Before All Ants Fall Out of a Plank problem using different approaches: a simple maximum calculation for left and right ants. We will provide the implementation of the solution in JavaScript, TypeScript, Python, Java, C++, and more.

Problem Description​

We have a wooden plank of the length n units. Some ants are walking on the plank, each ant moves with a speed of 1 unit per second. Some of the ants move to the left, the others move to the right.

When two ants moving in two different directions meet at some point, they change their directions and continue moving again. Assume changing directions does not take any additional time.

When an ant reaches one end of the plank at a time t, it falls out of the plank immediately.

Given an integer n and two integer arrays left and right, the positions of the ants moving to the left and the right, return the moment when the last ant(s) fall out of the plank.

Examples​

Example 1:

Input: n = 4, left = [4,3], right = [0,1]
Output: 4
Explanation:
- The ant at index 0 is named A and going to the right.
- The ant at index 1 is named B and going to the right.
- The ant at index 3 is named C and going to the left.
- The ant at index 4 is named D and going to the left.
The last moment when an ant was on the plank is t = 4 seconds. After that, it falls immediately out of the plank. (i.e., We can say that at t = 4.0000000001, there are no ants on the plank).

Example 2:

Input: n = 7, left = [], right = [0,1,2,3,4,5,6,7]
Output: 7
Explanation: All ants are going to the right, the ant at index 0 needs 7 seconds to fall.

Example 3:

Input: n = 7, left = [0,1,2,3,4,5,6,7], right = []
Output: 7
Explanation: All ants are going to the left, the ant at index 7 needs 7 seconds to fall.

Constraints​

  • 1<=n<=1041 <= n <= 10^4
  • 0<=left.length<=n+10 <= left.length <= n + 1
  • 0<=left[i]<=n0 <= left[i] <= n
  • 0<=right.length<=n+10 <= right.length <= n + 1
  • 0<=right[i]<=n0 <= right[i] <= n
  • 1<=left.length+right.length<=n+11 <= left.length + right.length <= n + 1
  • All values of left and right are unique, and each value can appear only in one of the two arrays.

Solution for Last Moment Before All Ants Fall Out of a Plank​

Intuition and Approach​

The key insight is that we can ignore the direction changes of ants when they meet. The last ant to fall off will be either the furthest ant moving to the left or the furthest ant moving to the right. Therefore, we need to find the maximum distance any ant has to travel to fall off the plank.

Approach 1: Maximum Calculation​

We calculate the maximum distance for the ants moving to the left and to the right and return the larger of the two.

Implementation​

Live Editor
function lastMomentBeforeAllAntsFallOut() {
  const n = 4;
  const left = [4, 3];
  const right = [0, 1];

  const getLastMoment = function(n, left, right) {
    const maxLeft = left.length > 0 ? Math.max(...left) : 0;
    const maxRight = right.length > 0 ? n - Math.min(...right) : 0;
    return Math.max(maxLeft, maxRight);
  };

  const result = getLastMoment(n, left, right);
  return (
    <div>
      <p>
        <b>Input:</b> n = {n}, left = {JSON.stringify(left)}, right = {JSON.stringify(right)}
      </p>
      <p>
        <b>Output:</b> {result}
      </p>
    </div>
  );
}
Result
Loading...

Code in Different Languages​

Written by @manishh12
 function getLastMoment(n, left, right) {
const maxLeft = left.length > 0 ? Math.max(...left) : 0;
const maxRight = right.length > 0 ? n - Math.min(...right) : 0;
return Math.max(maxLeft, maxRight);
}

Complexity Analysis​

  • Time Complexity: O(L+R)O(L + R), where L is the length of the left array and R is the length of the right array.
  • Space Complexity: O(1)O(1), as we are only using a few extra variables.
tip

By using a simple maximum calculation approach or a simulation approach, we can efficiently solve the Last Moment Before All Ants Fall Out of a Plank problem. The choice of implementation language depends on the specific requirements and constraints of the problem.

References​