size=3, capacity=4
[null, 21, 14, null]
↓ ↓
9 null
↓
null
The hash function is:
int hashcode(int key, int capacity) {
return key % capacity;
}
here we have three numbers, 9, 14 and 21, where 21 and 9 share the same position as they all have the same hashcode 1 (21 % 4 = 9 % 4 = 1). We store them in the hash table by linked list.
rehashing this hash table, double the capacity, you will get:
size=3, capacity=8
index: 0 1 2 3 4 5 6 7
hash : [null, 9, null, null, null, 21, 14, null]
Given the original hash table, return the new hash table after rehashing .
Example
Example 1
Input : [null, 21->9->null, 14->null, null]
Output : [null, 9->null, null, null, null, 21->null, 14->null, null]
Notice
For negative integer in hash table, the position can be calculated as follow:
C++/Java: if you directly calculate -4 % 3 you will get -1. You can use function: a % b = (a % b + b) % b to make it is a non negative integer.
Python: you can directly use -1 % 3, you will get 2 automatically.
解法1:注意有两个循环,在新数组和旧数组中都要循环
代码如下:
/**
* Definition of ListNode
* class ListNode {
* public:
* int val;
* ListNode *next;
* ListNode(int val) {
* this->val = val;
* this->next = NULL;
* }
* }
*/
class Solution {
public:
/**
* @param hashTable: A list of The first node of linked list
* @return: A list of The first node of linked list which have twice size
*/
vector rehashing(vector hashTable) {
int capacity = hashTable.size();
int capacity2 = capacity << 1;
vector result(capacity2, NULL);
for (int i = 0; i < capacity; ++i) {
ListNode * curNode = hashTable[i];
while(curNode) {
int val = curNode->val;
ListNode * newNode = new ListNode(val);
int newIndex = val < 0 ? (val % capacity2 + capacity2) % capacity2 : val % capacity2;
if (result[newIndex] == NULL) {
result[newIndex] = newNode;
} else {
ListNode * tmp = result[newIndex];
while(tmp->next) {
tmp = tmp->next;
}
tmp->next = newNode;
}
curNode = curNode->next;
}
}
return result;
}
};