2671. Frequency Tracker
Description
Design a data structure that keeps track of the values in it and answers some queries regarding their frequencies.
Implement the FrequencyTracker
class.
FrequencyTracker()
: Initializes theFrequencyTracker
object with an empty array initially.void add(int number)
: Addsnumber
to the data structure.void deleteOne(int number)
: Deletes one occurrence ofnumber
from the data structure. The data structure may not containnumber
, and in this case nothing is deleted.bool hasFrequency(int frequency)
: Returnstrue
if there is a number in the data structure that occursfrequency
number of times, otherwise, it returnsfalse
.
Example 1:
Input ["FrequencyTracker", "add", "add", "hasFrequency"] [[], [3], [3], [2]] Output [null, null, null, true] Explanation FrequencyTracker frequencyTracker = new FrequencyTracker(); frequencyTracker.add(3); // The data structure now contains [3] frequencyTracker.add(3); // The data structure now contains [3, 3] frequencyTracker.hasFrequency(2); // Returns true, because 3 occurs twice
Example 2:
Input ["FrequencyTracker", "add", "deleteOne", "hasFrequency"] [[], [1], [1], [1]] Output [null, null, null, false] Explanation FrequencyTracker frequencyTracker = new FrequencyTracker(); frequencyTracker.add(1); // The data structure now contains [1] frequencyTracker.deleteOne(1); // The data structure becomes empty [] frequencyTracker.hasFrequency(1); // Returns false, because the data structure is empty
Example 3:
Input ["FrequencyTracker", "hasFrequency", "add", "hasFrequency"] [[], [2], [3], [1]] Output [null, false, null, true] Explanation FrequencyTracker frequencyTracker = new FrequencyTracker(); frequencyTracker.hasFrequency(2); // Returns false, because the data structure is empty frequencyTracker.add(3); // The data structure now contains [3] frequencyTracker.hasFrequency(1); // Returns true, because 3 occurs once
Constraints:
1 <= number <= 105
1 <= frequency <= 105
- At most,
2 * 105
calls will be made toadd
,deleteOne
, andhasFrequency
in total.
Solutions
Solution 1: Hash Table
We define two hash tables, where $cnt$ is used to record the occurrence count of each number, and $freq$ is used to record the count of numbers with each frequency.
For the add
operation, we directly decrement the value corresponding to $cnt[number]$ in the hash table $freq$, then increment $cnt[number]$, and finally increment the value corresponding to $cnt[number]$ in $freq$.
For the deleteOne
operation, we first check if $cnt[number]$ is greater than zero. If it is, we decrement the value corresponding to $cnt[number]$ in the hash table $freq$, then decrement $cnt[number]$, and finally increment the value corresponding to $cnt[number]$ in $freq$.
For the hasFrequency
operation, we directly return whether $freq[frequency]$ is greater than zero.
In terms of time complexity, since we use hash tables, the time complexity of each operation is $O(1)$. The space complexity is $O(n)$, where $n$ is the number of distinct numbers.
Python3
class FrequencyTracker:
def __init__(self):
self.cnt = defaultdict(int)
self.freq = defaultdict(int)
def add(self, number: int) -> None:
self.freq[self.cnt[number]] -= 1
self.cnt[number] += 1
self.freq[self.cnt[number]] += 1
def deleteOne(self, number: int) -> None:
if self.cnt[number]:
self.freq[self.cnt[number]] -= 1
self.cnt[number] -= 1
self.freq[self.cnt[number]] += 1
def hasFrequency(self, frequency: int) -> bool:
return self.freq[frequency] > 0
# Your FrequencyTracker object will be instantiated and called as such:
# obj = FrequencyTracker()
# obj.add(number)
# obj.deleteOne(number)
# param_3 = obj.hasFrequency(frequency)
Java
class FrequencyTracker {
private Map<Integer, Integer> cnt = new HashMap<>();
private Map<Integer, Integer> freq = new HashMap<>();
public FrequencyTracker() {
}
public void add(int number) {
freq.merge(cnt.getOrDefault(number, 0), -1, Integer::sum);
cnt.merge(number, 1, Integer::sum);
freq.merge(cnt.get(number), 1, Integer::sum);
}
public void deleteOne(int number) {
if (cnt.getOrDefault(number, 0) > 0) {
freq.merge(cnt.get(number), -1, Integer::sum);
cnt.merge(number, -1, Integer::sum);
freq.merge(cnt.get(number), 1, Integer::sum);
}
}
public boolean hasFrequency(int frequency) {
return freq.getOrDefault(frequency, 0) > 0;
}
}
/**
* Your FrequencyTracker object will be instantiated and called as such:
* FrequencyTracker obj = new FrequencyTracker();
* obj.add(number);
* obj.deleteOne(number);
* boolean param_3 = obj.hasFrequency(frequency);
*/
C++
class FrequencyTracker {
public:
FrequencyTracker() {
}
void add(int number) {
freq[cnt[number]]--;
cnt[number]++;
freq[cnt[number]]++;
}
void deleteOne(int number) {
if (cnt[number]) {
freq[cnt[number]]--;
cnt[number]--;
freq[cnt[number]]++;
}
}
bool hasFrequency(int frequency) {
return freq[frequency] > 0;
}
private:
unordered_map<int, int> cnt;
unordered_map<int, int> freq;
};
/**
* Your FrequencyTracker object will be instantiated and called as such:
* FrequencyTracker* obj = new FrequencyTracker();
* obj->add(number);
* obj->deleteOne(number);
* bool param_3 = obj->hasFrequency(frequency);
*/
Go
type FrequencyTracker struct {
cnt map[int]int
freq map[int]int
}
func Constructor() FrequencyTracker {
return FrequencyTracker{map[int]int{}, map[int]int{}}
}
func (this *FrequencyTracker) Add(number int) {
this.freq[this.cnt[number]]--
this.cnt[number]++
this.freq[this.cnt[number]]++
}
func (this *FrequencyTracker) DeleteOne(number int) {
if this.cnt[number] > 0 {
this.freq[this.cnt[number]]--
this.cnt[number]--
this.freq[this.cnt[number]]++
}
}
func (this *FrequencyTracker) HasFrequency(frequency int) bool {
return this.freq[frequency] > 0
}
/**
* Your FrequencyTracker object will be instantiated and called as such:
* obj := Constructor();
* obj.Add(number);
* obj.DeleteOne(number);
* param_3 := obj.HasFrequency(frequency);
*/
TypeScript
class FrequencyTracker {
private cnt: Map<number, number>;
private freq: Map<number, number>;
constructor() {
this.cnt = new Map();
this.freq = new Map();
}
add(number: number): void {
const f = this.cnt.get(number) || 0;
this.freq.set(f, (this.freq.get(f) || 0) - 1);
this.cnt.set(number, f + 1);
this.freq.set(f + 1, (this.freq.get(f + 1) || 0) + 1);
}
deleteOne(number: number): void {
const f = this.cnt.get(number) || 0;
if (f > 0) {
this.freq.set(f, (this.freq.get(f) || 0) - 1);
this.cnt.set(number, f - 1);
this.freq.set(f - 1, (this.freq.get(f - 1) || 0) + 1);
}
}
hasFrequency(frequency: number): boolean {
return (this.freq.get(frequency) || 0) > 0;
}
}
/**
* Your FrequencyTracker object will be instantiated and called as such:
* var obj = new FrequencyTracker()
* obj.add(number)
* obj.deleteOne(number)
* var param_3 = obj.hasFrequency(frequency)
*/
Rust
use std::collections::HashMap;
struct FrequencyTracker {
cnt: HashMap<i32, i32>,
freq: HashMap<i32, i32>,
}
/**
* `&self` means the method takes an immutable reference.
* If you need a mutable reference, change it to `&mut self` instead.
*/
impl FrequencyTracker {
fn new() -> Self {
FrequencyTracker {
cnt: HashMap::new(),
freq: HashMap::new(),
}
}
fn add(&mut self, number: i32) {
let count = self.cnt.entry(number).or_insert(0);
let prev_freq = self.freq.entry(*count).or_insert(0);
*prev_freq -= 1;
*count += 1;
let new_freq = self.freq.entry(*count).or_insert(0);
*new_freq += 1;
}
fn delete_one(&mut self, number: i32) {
if let Some(count) = self.cnt.get_mut(&number) {
if *count > 0 {
if let Some(prev_freq) = self.freq.get_mut(count) {
*prev_freq -= 1;
}
*count -= 1;
if let Some(new_freq) = self.freq.get_mut(count) {
*new_freq += 1;
}
}
}
}
fn has_frequency(&self, frequency: i32) -> bool {
self.freq.get(&frequency).map_or(false, |&freq| freq > 0)
}
}