L129 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, 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]
public ListNode[] rehashing(ListNode[] hashTable) {
if (hashTable == null || hashTable.length == 0) {
return new ListNode[2];
}
int size = hashTable.length;
ListNode[] res = new ListNode[size * 2];
for (ListNode lNode : hashTable) {
while (lNode != null) {
int val = lNode.val;
add(val, res);
lNode = lNode.next;
}
}
return res;
}
private void add(int val, ListNode[] res) {
int loc = -1;
int size = res.length;
if (val >= 0) {
loc = val % size;
} else {
loc = (val % size + size) % size;
}
ListNode tmp = new ListNode(val);
if (res[loc] == null) {
res[loc] = tmp;
} else {
ListNode head = res[loc];
while (head.next != null) {
head = head.next;
}
head.next = tmp;
}
}
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