LeetCode 3056: Snaps Analysis Solution

Master LeetCode problem 3056 (Snaps Analysis), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.

3056. Snaps Analysis

Medium

Database

Problem Explanation

Explanation:

The problem requires us to analyze a series of snapshots. We are given a list of n elements initially and a series of m snapshots. Each snapshot records the values of a subset of elements at a certain time. We need to implement two operations:

takeSnapshot(): Create a snapshot of the current state of the list.
getSnapshotValue(int snap_id, int index): Retrieve the value of the element at the given index in the snapshot with the given snap_id.

To efficiently implement these operations, we can use a data structure to keep track of the changes made to the elements in each snapshot. We can maintain a map where the keys are snapshot IDs and the values are maps that store the changes made to the elements in that snapshot. :

Solution Code

class SnapsAnalysis {
    Map<Integer, Map<Integer, Integer>> snapshots;
    int snapId;

    public SnapsAnalysis(int n) {
        snapshots = new HashMap<>();
        snapshots.put(0, new HashMap<>());
        snapId = 0;
    }

    public void takeSnapshot() {
        snapshots.put(++snapId, new HashMap<>(snapshots.get(snapId - 1)));
    }

    public void set(int index, int val) {
        snapshots.get(snapId).put(index, val);
    }

    public int get(int index) {
        return snapshots.get(snapId).getOrDefault(index, 0);
    }

    public int getSnapshotValue(int snap_id, int index) {
        Map<Integer, Integer> snapshot = snapshots.get(snap_id);
        while (snapshot != null) {
            if (snapshot.containsKey(index)) {
                return snapshot.get(index);
            }
            snap_id--;
            snapshot = snapshots.get(snap_id);
        }
        return 0;
    }
}

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