Implement a SnapshotArray that supports the following interface:
SnapshotArray(int length) initializes an array-like data structure with the given length. Initially, each element equals 0.
void set(index, val) sets the element at the given index to be equal to val.
int snap() takes a snapshot of the array and returns the snap_id: the total number of times we called snap() minus 1.
int get(index, snap_id) returns the value at the given index, at the time we took the snapshot with the given snap_id
Example 1:
Input: ["SnapshotArray","set","snap","set","get"]
[[3],[0,5],[],[0,6],[0,0]]
Output: [null,null,0,null,5]
Explanation:
SnapshotArray snapshotArr = new SnapshotArray(3); // set the length to be 3
snapshotArr.set(0,5); // Set array[0] = 5
snapshotArr.snap(); // Take a snapshot, return snap_id = 0
snapshotArr.set(0,6);
snapshotArr.get(0,0); // Get the value of array[0] with snap_id = 0, return 5
Constraints:
1 <= length <= 5 * 104
0 <= index < length
0 <= val <= 109
0 <= snap_id < (the total number of times we call snap())
At most 5 * 104 calls will be made to set, snap, and get.
Solutions
Solution 1: Array + Binary Search
Thinking
Copying the whole array on every snap costs space proportional to length times snapshot count. Each index stores a history of \((\text{snap id},\textit{value})\); set appends the current id. get binary-searches the last change with id \(\le \textit{snap\_id}\), or \(0\) if none.
We maintain an array of length length. Each element in the array is a list, which is used to store the value set each time and the corresponding snapshot ID.
When the \(\textit{set}\) method is called, we add the value and snapshot ID to the list at the corresponding index. The time complexity is \(O(1)\).
When the \(\textit{snap}\) method is called, we first increment the snapshot ID, then return the snapshot ID minus one. The time complexity is \(O(1)\).
When the \(\textit{get}\) method is called, we use binary search to find the first snapshot ID greater than \(\textit{snap\_id}\) at the corresponding position, and then return the previous value. If it cannot be found, return 0. The time complexity is \(O(\log n)\).
The space complexity is \(O(n)\).
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classSnapshotArray:def__init__(self,length:int):self.arr=[[]for_inrange(length)]self.i=0defset(self,index:int,val:int)->None:self.arr[index].append((self.i,val))defsnap(self)->int:self.i+=1returnself.i-1defget(self,index:int,snap_id:int)->int:i=bisect_left(self.arr[index],(snap_id,inf))-1return0ifi<0elseself.arr[index][i][1]# Your SnapshotArray object will be instantiated and called as such:# obj = SnapshotArray(length)# obj.set(index,val)# param_2 = obj.snap()# param_3 = obj.get(index,snap_id)
classSnapshotArray{privateList<int[]>[]arr;privateintidx;publicSnapshotArray(intlength){arr=newList[length];Arrays.setAll(arr,k->newArrayList<>());}publicvoidset(intindex,intval){arr[index].add(newint[]{idx,val});}publicintsnap(){returnidx++;}publicintget(intindex,intsnap_id){intl=0,r=arr[index].size();while(l<r){intmid=(l+r)>>1;if(arr[index].get(mid)[0]>snap_id){r=mid;}else{l=mid+1;}}--l;returnl<0?0:arr[index].get(l)[1];}}/** * Your SnapshotArray object will be instantiated and called as such: * SnapshotArray obj = new SnapshotArray(length); * obj.set(index,val); * int param_2 = obj.snap(); * int param_3 = obj.get(index,snap_id); */
classSnapshotArray{public:SnapshotArray(intlength){arr.resize(length);}voidset(intindex,intval){arr[index].emplace_back(i,val);}intsnap(){returni++;}intget(intindex,intsnap_id){autoit=upper_bound(arr[index].begin(),arr[index].end(),make_pair(snap_id,INT_MAX));returnit==arr[index].begin()?0:prev(it)->second;}private:vector<vector<pair<int,int>>>arr;inti=0;};/** * Your SnapshotArray object will be instantiated and called as such: * SnapshotArray* obj = new SnapshotArray(length); * obj->set(index,val); * int param_2 = obj->snap(); * int param_3 = obj->get(index,snap_id); */
typeSnapshotArraystruct{arr[][][2]intiint}funcConstructor(lengthint)SnapshotArray{returnSnapshotArray{make([][][2]int,length),0}}func(this*SnapshotArray)Set(indexint,valint){this.arr[index]=append(this.arr[index],[2]int{this.i,val})}func(this*SnapshotArray)Snap()int{this.i++returnthis.i-1}func(this*SnapshotArray)Get(indexint,snap_idint)int{i:=sort.Search(len(this.arr[index]),func(iint)bool{returnthis.arr[index][i][0]>snap_id})-1ifi<0{return0}returnthis.arr[index][i][1]}/** * Your SnapshotArray object will be instantiated and called as such: * obj := Constructor(length); * obj.Set(index,val); * param_2 := obj.Snap(); * param_3 := obj.Get(index,snap_id); */
classSnapshotArray{privatearr:[number,number][][];privatei:number=0;constructor(length:number){this.arr=Array.from({length},()=>[]);}set(index:number,val:number):void{this.arr[index].push([this.i,val]);}snap():number{returnthis.i++;}get(index:number,snap_id:number):number{let[l,r]=[0,this.arr[index].length];while(l<r){constmid=(l+r)>>1;if(this.arr[index][mid][0]>snap_id){r=mid;}else{l=mid+1;}}--l;returnl<0?0:this.arr[index][l][1];}}/** * Your SnapshotArray object will be instantiated and called as such: * var obj = new SnapshotArray(length) * obj.set(index,val) * var param_2 = obj.snap() * var param_3 = obj.get(index,snap_id) */