README_EN.md

1229. Meeting Scheduler

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Description

Given the availability time slots arrays slots1 and slots2 of two people and a meeting duration duration, return the earliest time slot that works for both of them and is of duration duration.

If there is no common time slot that satisfies the requirements, return an empty array.

The format of a time slot is an array of two elements [start, end] representing an inclusive time range from start to end.

It is guaranteed that no two availability slots of the same person intersect with each other. That is, for any two time slots [start1, end1] and [start2, end2] of the same person, either start1 > end2 or start2 > end1.

 

Example 1:

Input: slots1 = [[10,50],[60,120],[140,210]], slots2 = [[0,15],[60,70]], duration = 8
Output: [60,68]

Example 2:

Input: slots1 = [[10,50],[60,120],[140,210]], slots2 = [[0,15],[60,70]], duration = 12
Output: []

 

Constraints:

• 1 <= slots1.length, slots2.length <= 104
• slots1[i].length, slots2[i].length == 2
• slots1[i][0] < slots1[i][1]
• slots2[i][0] < slots2[i][1]
• 0 <= slots1[i][j], slots2[i][j] <= 109
• 1 <= duration <= 106

Solutions

Python3

class Solution:
    def minAvailableDuration(
        self, slots1: List[List[int]], slots2: List[List[int]], duration: int
    ) -> List[int]:
        slots1.sort()
        slots2.sort()
        m, n = len(slots1), len(slots2)
        i = j = 0
        while i < m and j < n:
            start = max(slots1[i][0], slots2[j][0])
            end = min(slots1[i][1], slots2[j][1])
            if end - start >= duration:
                return [start, start + duration]
            if slots1[i][1] < slots2[j][1]:
                i += 1
            else:
                j += 1
        return []

Java

class Solution {
    public List<Integer> minAvailableDuration(int[][] slots1, int[][] slots2, int duration) {
        Arrays.sort(slots1, (a, b) -> a[0] - b[0]);
        Arrays.sort(slots2, (a, b) -> a[0] - b[0]);
        int m = slots1.length, n = slots2.length;
        int i = 0, j = 0;
        while (i < m && j < n) {
            int start = Math.max(slots1[i][0], slots2[j][0]);
            int end = Math.min(slots1[i][1], slots2[j][1]);
            if (end - start >= duration) {
                return Arrays.asList(start, start + duration);
            }
            if (slots1[i][1] < slots2[j][1]) {
                ++i;
            } else {
                ++j;
            }
        }
        return Collections.emptyList();
    }
}

C++

class Solution {
public:
    vector<int> minAvailableDuration(vector<vector<int>>& slots1, vector<vector<int>>& slots2, int duration) {
        sort(slots1.begin(), slots1.end());
        sort(slots2.begin(), slots2.end());
        int m = slots1.size(), n = slots2.size();
        int i = 0, j = 0;
        while (i < m && j < n) {
            int start = max(slots1[i][0], slots2[j][0]);
            int end = min(slots1[i][1], slots2[j][1]);
            if (end - start >= duration) {
                return {start, start + duration};
            }
            if (slots1[i][1] < slots2[j][1]) {
                ++i;
            } else {
                ++j;
            }
        }
        return {};
    }
};

Rust

impl Solution {
    #[allow(dead_code)]
    pub fn min_available_duration(slots1: Vec<Vec<i32>>, slots2: Vec<Vec<i32>>, duration: i32) -> Vec<i32> {
        let mut slots1 = slots1;
        let mut slots2 = slots2;

        // First sort the two vectors based on the beginning time
        slots1.sort_by(|lhs, rhs| {
            lhs[0].cmp(&rhs[0])
        });
        slots2.sort_by(|lhs, rhs| {
            lhs[0].cmp(&rhs[0])
        });

        // Then traverse the two vector
        let mut i: usize = 0;
        let mut j: usize = 0;
        let N = slots1.len();
        let M = slots2.len();

        while i < N && j < M {
            let (start, end) = (slots1[i][0], slots1[i][1]);
            while j < M && slots2[j][0] < end {
                // If still in the scope
                let (cur_x, cur_y) =
                    (std::cmp::max(start, slots2[j][0]), std::cmp::min(end, slots2[j][1]));
                if cur_y - cur_x >= duration {
                    return vec![cur_x, cur_x + duration];
                }
                // Otherwise, keep iterating
                if slots1[i][1] < slots2[j][1] {
                    // Update i then
                    break;
                }
                j += 1;
            }
            i += 1;
        }

        // The default is an empty vector
        vec![]
    }
}

Go

func minAvailableDuration(slots1 [][]int, slots2 [][]int, duration int) []int {
	sort.Slice(slots1, func(i, j int) bool { return slots1[i][0] < slots1[j][0] })
	sort.Slice(slots2, func(i, j int) bool { return slots2[i][0] < slots2[j][0] })
	i, j, m, n := 0, 0, len(slots1), len(slots2)
	for i < m && j < n {
		start := max(slots1[i][0], slots2[j][0])
		end := min(slots1[i][1], slots2[j][1])
		if end-start >= duration {
			return []int{start, start + duration}
		}
		if slots1[i][1] < slots2[j][1] {
			i++
		} else {
			j++
		}
	}
	return []int{}
}

func max(a, b int) int {
	if a > b {
		return a
	}
	return b
}

func min(a, b int) int {
	if a < b {
		return a
	}
	return b
}

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