170. Two Sum III - Data structure design 🔒

Description

Design a data structure that accepts a stream of integers and checks if it has a pair of integers that sum up to a particular value.

Implement the TwoSum class:

TwoSum() Initializes the TwoSum object, with an empty array initially.
void add(int number) Adds number to the data structure.
boolean find(int value) Returns true if there exists any pair of numbers whose sum is equal to value, otherwise, it returns false.

Example 1:

Input
["TwoSum", "add", "add", "add", "find", "find"]
[[], [1], [3], [5], [4], [7]]
Output
[null, null, null, null, true, false]

Explanation
TwoSum twoSum = new TwoSum();
twoSum.add(1);   // [] --> [1]
twoSum.add(3);   // [1] --> [1,3]
twoSum.add(5);   // [1,3] --> [1,3,5]
twoSum.find(4);  // 1 + 3 = 4, return true
twoSum.find(7);  // No two integers sum up to 7, return false

Constraints:

-10⁵ <= number <= 10⁵
-2³¹ <= value <= 2³¹ - 1
At most 10⁴ calls will be made to add and find.

Solutions

Solution 1: Hash Table

We use a hash table cnt to store the count of each number.

When the add method is called, we increment the count of the number number.

When the find method is called, we iterate over the hash table cnt. For each key x, we check if value - x is also a key in the hash table cnt. If it is, we check if x is equal to value - x. If they are not equal, it means we have found a pair of numbers whose sum is value, and we return true. If they are equal, we check if the count of x is greater than 1. If it is, it means we have found a pair of numbers whose sum is value, and we return true. If it is less than or equal to 1, it means we have not found a pair of numbers whose sum is value, and we continue to iterate over the hash table cnt. If we have not found a pair after the iteration, we return false.

Time complexity:

The time complexity of the add method is $O(1)$.
The time complexity of the find method is $O(n)$.

Space complexity is $O(n)$, where $n$ is the size of the hash table cnt.

Python3JavaC++GoTypeScript

class TwoSum:

    def __init__(self):
        self.cnt = defaultdict(int)

    def add(self, number: int) -> None:
        self.cnt[number] += 1

    def find(self, value: int) -> bool:
        for x, v in self.cnt.items():
            y = value - x
            if y in self.cnt and (x != y or v > 1):
                return True
        return False


# Your TwoSum object will be instantiated and called as such:
# obj = TwoSum()
# obj.add(number)
# param_2 = obj.find(value)

class TwoSum {
    private Map<Integer, Integer> cnt = new HashMap<>();

    public TwoSum() {
    }

    public void add(int number) {
        cnt.merge(number, 1, Integer::sum);
    }

    public boolean find(int value) {
        for (var e : cnt.entrySet()) {
            int x = e.getKey(), v = e.getValue();
            int y = value - x;
            if (cnt.containsKey(y) && (x != y || v > 1)) {
                return true;
            }
        }
        return false;
    }
}

/**
 * Your TwoSum object will be instantiated and called as such:
 * TwoSum obj = new TwoSum();
 * obj.add(number);
 * boolean param_2 = obj.find(value);
 */

class TwoSum {
public:
    TwoSum() {
    }

    void add(int number) {
        ++cnt[number];
    }

    bool find(int value) {
        for (auto& [x, v] : cnt) {
            long y = (long) value - x;
            if (cnt.contains(y) && (x != y || v > 1)) {
                return true;
            }
        }
        return false;
    }

private:
    unordered_map<int, int> cnt;
};

/**
 * Your TwoSum object will be instantiated and called as such:
 * TwoSum* obj = new TwoSum();
 * obj->add(number);
 * bool param_2 = obj->find(value);
 */

type TwoSum struct {
    cnt map[int]int
}

func Constructor() TwoSum {
    return TwoSum{map[int]int{}}
}

func (this *TwoSum) Add(number int) {
    this.cnt[number] += 1
}

func (this *TwoSum) Find(value int) bool {
    for x, v := range this.cnt {
        y := value - x
        if _, ok := this.cnt[y]; ok && (x != y || v > 1) {
            return true
        }
    }
    return false
}

/**
 * Your TwoSum object will be instantiated and called as such:
 * obj := Constructor();
 * obj.Add(number);
 * param_2 := obj.Find(value);
 */

class TwoSum {
    private cnt: Map<number, number> = new Map();
    constructor() {}

    add(number: number): void {
        this.cnt.set(number, (this.cnt.get(number) || 0) + 1);
    }

    find(value: number): boolean {
        for (const [x, v] of this.cnt) {
            const y = value - x;
            if (this.cnt.has(y) && (x !== y || v > 1)) {
                return true;
            }
        }
        return false;
    }
}

/**
 * Your TwoSum object will be instantiated and called as such:
 * var obj = new TwoSum()
 * obj.add(number)
 * var param_2 = obj.find(value)
 */

170. Two Sum III - Data structure design 🔒

Description

Solutions

Solution 1: Hash Table

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