Problem
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
- 注意该题需要问清楚几个问题
- 出现负数怎么办 ?
- 当前的数放在链表最前还是最后?
public ListNode[] rehashing(ListNode[] hashTable) {
if (hashTable == null || hashTable.length == 0) {
return null;
}
ListNode[] table = new ListNode[2 * hashTable.length];
int capacity = table.length;
for (ListNode list: hashTable) {
while (list != null) {
ListNode cur = list;
list = list.next;
cur.next = null;
int code = hashcode(cur.val, capacity);
ListNode newList = table[code];
while (newList != null && newList.next != null) {
newList = newList.next;
}
if (newList == null) {
table[code] = cur;
} else {
newList.next = cur;
}
}
}
return table;
}
private int hashcode(int key, int capacity) {
if (key >= 0) {
return key % capacity;
} else {
return (key % capacity + capacity) % capacity;
}
}