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LintCode-Rehashing

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->9->null, 14->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 table: [null, 9, null, null, null, 21, 14, null]
 
Given the original hash table, return the new hash table after rehashing .
Note

For negative integer in hash table, the position can be calculated as follow:

In 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.

In 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]

Solution:
 1 /** 2  * Definition for ListNode 3  * public class ListNode { 4  *     int val; 5  *     ListNode next; 6  *     ListNode(int x) { 7  *         val = x; 8  *         next = null; 9  *     }10  * }11  */12 public class Solution {13     /**14      * @param hashTable: A list of The first node of linked list15      * @return: A list of The first node of linked list which have twice size16      */    17     public ListNode[] rehashing(ListNode[] hashTable) {18         int size = hashTable.length;19         if (size==0) return null;20         int newSize = 2*size;21         ListNode[] newTable = new ListNode[newSize];22         Arrays.fill(newTable,null);23 24         for (int i=0;i<size;i++){25             ListNode cur = hashTable[i];26             while (cur!=null){27                 ListNode temp = cur;28                 cur = cur.next;29                 //Calculate the new position for temp.30                 int val = (temp.val % newSize + newSize) % newSize;31                 if (newTable[val]==null){32                     newTable[val]=temp;33                     temp.next = null;34                 } else {35                     ListNode p = newTable[val];36                     while (p.next!=null) p = p.next;37                     p.next = temp;38                     temp.next = null;39                 }40             }41         }42 43         return newTable;44     }45 };

 

LintCode-Rehashing