Description
Design and implement a TwoSum class. It should support the following operations: add
and find
.
add
- Add the number to an internal data structure.
find
- Find if there exists any pair of numbers which sum is equal to the value.
For example,
add(1); add(3); add(5);
find(4) -> true
find(7) -> false
Solution
HashMap, add time O(1), find time O(n), space O(n)
class TwoSum {
private Map<Integer, Integer> numToCount;
/** Initialize your data structure here. */
public TwoSum() {
numToCount = new HashMap<>();
}
/** Add the number to an internal data structure.. */
public void add(int number) {
numToCount.put(number, numToCount.getOrDefault(number, 0) + 1);
}
/** Find if there exists any pair of numbers which sum is equal to the value. */
public boolean find(int value) {
for (int num : numToCount.keySet()) {
int need = value - num;
if (need == num && numToCount.get(need) > 1) {
return true;
} else if (need != num && numToCount.containsKey(need)) {
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);
*/
HashMap + ArrayList, runtime slitely better
事实证明遍历HashMap的keySet是比较慢的,可以用一个额外的List保存所有distinct numbers,然后用来遍历。
Iteration over the collection-views of a LinkedHashMap requires time proportional to the size of the map, regardless of its capacity. Iteration over a HashMap is likely to be more expensive, requiring time proportional to its capacity.
class TwoSum {
private Map<Integer, Integer> numToCount;
private List<Integer> list;
/** Initialize your data structure here. */
public TwoSum() {
numToCount = new HashMap<>();
list = new ArrayList<>();
}
/** Add the number to an internal data structure.. */
public void add(int number) {
if (!numToCount.containsKey(number)) {
list.add(number);
}
numToCount.put(number, numToCount.getOrDefault(number, 0) + 1);
}
/** Find if there exists any pair of numbers which sum is equal to the value. */
public boolean find(int value) {
for (int num : list) {
int need = value - num;
if (need == num && numToCount.get(need) > 1) {
return true;
} else if (need != num && numToCount.containsKey(need)) {
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);
*/