Medium Rehashing
25%
Accepted
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 .
Have you met this question in a real interview?
Yes
Example
Given
[null, 21->9->null, 14->null, null]
,
return
[null, 9->null, null, null, null, 21->null, 14->null, null]
Note
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.
/**
* 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 len = hashTable.length * 2;
ListNode[] newTable = new ListNode[len];
for(int i = 0; i < hashTable.length; i++){
ListNode node = hashTable[i];
while(node != null){
int index = node.val >= 0 ? node.val % len : (node.val % len + len) % len;
if(newTable[index] == null){
newTable[index] = new ListNode(node.val);
} else{
ListNode temp = newTable[index];
while(temp.next != null){
temp = temp.next;
}
temp.next = new ListNode(node.val);
}
node = node.next;
}
}
return newTable;
}
};
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