Description#
Design a stack-like data structure to push elements to the stack and pop the most frequent element from the stack.
Implement the FreqStack
class:
FreqStack()
constructs an empty frequency stack.void push(int val)
pushes an integer val
onto the top of the stack.int pop()
removes and returns the most frequent element in the stack.- If there is a tie for the most frequent element, the element closest to the stack's top is removed and returned.
Example 1:
Input
["FreqStack", "push", "push", "push", "push", "push", "push", "pop", "pop", "pop", "pop"]
[[], [5], [7], [5], [7], [4], [5], [], [], [], []]
Output
[null, null, null, null, null, null, null, 5, 7, 5, 4]
Explanation
FreqStack freqStack = new FreqStack();
freqStack.push(5); // The stack is [5]
freqStack.push(7); // The stack is [5,7]
freqStack.push(5); // The stack is [5,7,5]
freqStack.push(7); // The stack is [5,7,5,7]
freqStack.push(4); // The stack is [5,7,5,7,4]
freqStack.push(5); // The stack is [5,7,5,7,4,5]
freqStack.pop(); // return 5, as 5 is the most frequent. The stack becomes [5,7,5,7,4].
freqStack.pop(); // return 7, as 5 and 7 is the most frequent, but 7 is closest to the top. The stack becomes [5,7,5,4].
freqStack.pop(); // return 5, as 5 is the most frequent. The stack becomes [5,7,4].
freqStack.pop(); // return 4, as 4, 5 and 7 is the most frequent, but 4 is closest to the top. The stack becomes [5,7].
Constraints:
0 <= val <= 109
- At most
2 * 104
calls will be made to push
and pop
. - It is guaranteed that there will be at least one element in the stack before calling
pop
.
Solutions#
Solution 1#
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| class FreqStack:
def __init__(self):
self.cnt = defaultdict(int)
self.q = []
self.ts = 0
def push(self, val: int) -> None:
self.ts += 1
self.cnt[val] += 1
heappush(self.q, (-self.cnt[val], -self.ts, val))
def pop(self) -> int:
val = heappop(self.q)[2]
self.cnt[val] -= 1
return val
# Your FreqStack object will be instantiated and called as such:
# obj = FreqStack()
# obj.push(val)
# param_2 = obj.pop()
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| class FreqStack {
private Map<Integer, Integer> cnt = new HashMap<>();
private PriorityQueue<int[]> q
= new PriorityQueue<>((a, b) -> a[0] == b[0] ? b[1] - a[1] : b[0] - a[0]);
private int ts;
public FreqStack() {
}
public void push(int val) {
cnt.put(val, cnt.getOrDefault(val, 0) + 1);
q.offer(new int[] {cnt.get(val), ++ts, val});
}
public int pop() {
int val = q.poll()[2];
cnt.put(val, cnt.get(val) - 1);
return val;
}
}
/**
* Your FreqStack object will be instantiated and called as such:
* FreqStack obj = new FreqStack();
* obj.push(val);
* int param_2 = obj.pop();
*/
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| class FreqStack {
public:
FreqStack() {
}
void push(int val) {
++cnt[val];
q.emplace(cnt[val], ++ts, val);
}
int pop() {
auto [a, b, val] = q.top();
q.pop();
--cnt[val];
return val;
}
private:
unordered_map<int, int> cnt;
priority_queue<tuple<int, int, int>> q;
int ts = 0;
};
/**
* Your FreqStack object will be instantiated and called as such:
* FreqStack* obj = new FreqStack();
* obj->push(val);
* int param_2 = obj->pop();
*/
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| type FreqStack struct {
cnt map[int]int
q hp
ts int
}
func Constructor() FreqStack {
return FreqStack{map[int]int{}, hp{}, 0}
}
func (this *FreqStack) Push(val int) {
this.cnt[val]++
this.ts++
heap.Push(&this.q, tuple{this.cnt[val], this.ts, val})
}
func (this *FreqStack) Pop() int {
val := heap.Pop(&this.q).(tuple).val
this.cnt[val]--
return val
}
type tuple struct{ cnt, ts, val int }
type hp []tuple
func (h hp) Len() int { return len(h) }
func (h hp) Less(i, j int) bool {
return h[i].cnt > h[j].cnt || h[i].cnt == h[j].cnt && h[i].ts > h[j].ts
}
func (h hp) Swap(i, j int) { h[i], h[j] = h[j], h[i] }
func (h *hp) Push(v any) { *h = append(*h, v.(tuple)) }
func (h *hp) Pop() any { a := *h; v := a[len(a)-1]; *h = a[:len(a)-1]; return v }
/**
* Your FreqStack object will be instantiated and called as such:
* obj := Constructor();
* obj.Push(val);
* param_2 := obj.Pop();
*/
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Solution 2#
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| class FreqStack:
def __init__(self):
self.cnt = defaultdict(int)
self.d = defaultdict(list)
self.mx = 0
def push(self, val: int) -> None:
self.cnt[val] += 1
self.d[self.cnt[val]].append(val)
self.mx = max(self.mx, self.cnt[val])
def pop(self) -> int:
val = self.d[self.mx].pop()
self.cnt[val] -= 1
if not self.d[self.mx]:
self.mx -= 1
return val
# Your FreqStack object will be instantiated and called as such:
# obj = FreqStack()
# obj.push(val)
# param_2 = obj.pop()
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| class FreqStack {
private Map<Integer, Integer> cnt = new HashMap<>();
private Map<Integer, Deque<Integer>> d = new HashMap<>();
private int mx;
public FreqStack() {
}
public void push(int val) {
cnt.put(val, cnt.getOrDefault(val, 0) + 1);
int t = cnt.get(val);
d.computeIfAbsent(t, k -> new ArrayDeque<>()).push(val);
mx = Math.max(mx, t);
}
public int pop() {
int val = d.get(mx).pop();
cnt.put(val, cnt.get(val) - 1);
if (d.get(mx).isEmpty()) {
--mx;
}
return val;
}
}
/**
* Your FreqStack object will be instantiated and called as such:
* FreqStack obj = new FreqStack();
* obj.push(val);
* int param_2 = obj.pop();
*/
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| class FreqStack {
public:
FreqStack() {
}
void push(int val) {
++cnt[val];
d[cnt[val]].push(val);
mx = max(mx, cnt[val]);
}
int pop() {
int val = d[mx].top();
--cnt[val];
d[mx].pop();
if (d[mx].empty()) --mx;
return val;
}
private:
unordered_map<int, int> cnt;
unordered_map<int, stack<int>> d;
int mx = 0;
};
/**
* Your FreqStack object will be instantiated and called as such:
* FreqStack* obj = new FreqStack();
* obj->push(val);
* int param_2 = obj->pop();
*/
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| type FreqStack struct {
cnt map[int]int
d map[int][]int
mx int
}
func Constructor() FreqStack {
return FreqStack{map[int]int{}, map[int][]int{}, 0}
}
func (this *FreqStack) Push(val int) {
this.cnt[val]++
this.d[this.cnt[val]] = append(this.d[this.cnt[val]], val)
this.mx = max(this.mx, this.cnt[val])
}
func (this *FreqStack) Pop() int {
val := this.d[this.mx][len(this.d[this.mx])-1]
this.d[this.mx] = this.d[this.mx][:len(this.d[this.mx])-1]
this.cnt[val]--
if len(this.d[this.mx]) == 0 {
this.mx--
}
return val
}
/**
* Your FreqStack object will be instantiated and called as such:
* obj := Constructor();
* obj.Push(val);
* param_2 := obj.Pop();
*/
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