comments | difficulty | edit_url | rating | source | tags | ||
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true |
Medium |
1509 |
Weekly Contest 344 Q2 |
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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.
We define two hash tables, where
For the add
operation, we directly decrement the value corresponding to
For the deleteOne
operation, we first check if
For the hasFrequency
operation, we directly return whether
In terms of time complexity, since we use hash tables, the time complexity of each operation is
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)
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);
*/
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);
*/
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);
*/
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)
*/
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)
}
}