The size of the hash table is not determinate at the very beginning. If the total size of keys is too large (e.g. size >= capacity / 10), we should double the size of the hash table and rehash every keys. Say you have a hash table looks like below:
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 .
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.
Example
Given [null, 21->9->null, 14->null, null],
return [null, 9->null, null, null, null, 21->null, 14->null, null]
思路
建立一个比原来大一倍的表。
遍历原来表里的每一个元素,发配到新表相应的位置。
Code
/** * Definition for ListNode * public class ListNode { * int val; * ListNode next; * ListNode(int x) { * val = x; * next = null; * } * } */ public class Solution { /** * @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 */ public ListNode[] rehashing(ListNode[] hashTable) { // write your code here int capacity = hashTable.length * 2; ListNode[] newTable = new ListNode[capacity]; for (ListNode head : hashTable) { while (head != null) { int newIndex = (capacity + head.val % capacity) % capacity; if (newTable[newIndex] == null) { newTable[newIndex] = new ListNode(head.val); } else { ListNode curr = newTable[newIndex]; while (curr.next != null) { curr = curr.next; } curr.next = new ListNode(head.val); } head = head.next; } } return newTable; } };