Rehashing
Description
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]
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Example
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/** * Definition of ListNode * class ListNode { * public: * int val; * ListNode *next; * ListNode(int val) { * this->val = val; * this->next = NULL; * } * } */ class Solution { public: /** * @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 */ vector<ListNode*> rehashing(vector<ListNode*> hashTable) { // write your code here if (hashTable.empty()) { return {}; } int n = hashTable.size(); int newsize = n*2; // consider that the new hashtable may just expend the size // So, the element's position(hash value) may be is the same as before // Input,size 5, [null,null,42->32->null,-7->null,null] // Expected, size 10, [null,null,42->32->null,-7->null,null,null,null // null,null,null] vector<ListNode*> newhash(newsize, nullptr); for (int i = 0; i < n; ++i) { while (hashTable[i]) { int val = hashTable[i]->val; int pos = (val % newsize + newsize) % newsize; // insert to new pos ListNode* newcur = newhash[pos]; if (!newhash[pos]) { newhash[pos] = new ListNode(val); } else { while (newcur->next) { newcur = newcur->next; } newcur->next = new ListNode(val); } hashTable[i] = hashTable[i]->next; } } return newhash; } };
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