Enhance docs, add tests in LinearProbingHashMap (#5977)

This commit is contained in:
Hardik Pawar
2024-10-26 21:35:31 +05:30
committed by GitHub
parent 4ea3098595
commit 26f114cb60
2 changed files with 118 additions and 8 deletions

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@ -2,24 +2,51 @@ package com.thealgorithms.datastructures.hashmap.hashing;
import java.util.ArrayList;
/***
* This class is an implementation of a hash table using linear probing.
/**
* This class implements a hash table using linear probing to resolve collisions.
* Linear probing is a collision resolution method where each slot in the hash table is checked in a sequential manner
* until an empty slot is found.
*
* <p>
* The class allows for storing key-value pairs, where both the key and value are generic types.
* The key must be of a type that implements the Comparable interface to ensure that the keys can be compared for sorting.
* </p>
*
* <p>
* This implementation supports basic operations such as:
* <ul>
* <li><b>put(Key key, Value value)</b>: Adds a key-value pair to the hash table. If the key already exists, its value is updated.</li>
* <li><b>get(Key key)</b>: Retrieves the value associated with the given key.</li>
* <li><b>delete(Key key)</b>: Removes the key and its associated value from the hash table.</li>
* <li><b>contains(Key key)</b>: Checks if the hash table contains a given key.</li>
* <li><b>size()</b>: Returns the number of key-value pairs in the hash table.</li>
* <li><b>keys()</b>: Returns an iterable collection of keys stored in the hash table.</li>
* </ul>
* </p>
*
* <p>
* The internal size of the hash table is automatically resized when the load factor exceeds 0.5 or falls below 0.125,
* ensuring efficient space utilization.
* </p>
*
* @see <a href="https://en.wikipedia.org/wiki/Linear_probing">Linear Probing Hash Table</a>
*
* @param <Key> keys type.
* @param <Value> values type.
* @param <Key> the type of keys maintained by this map
* @param <Value> the type of mapped values
*/
public class LinearProbingHashMap<Key extends Comparable<Key>, Value> extends Map<Key, Value> {
private int hsize; // size of the hash table
private Key[] keys;
private Value[] values;
private int size; // amount of elements in the hash table
private Key[] keys; // array to store keys
private Value[] values; // array to store values
private int size; // number of elements in the hash table
// Default constructor initializes the table with a default size of 16
public LinearProbingHashMap() {
this(16);
}
@SuppressWarnings("unchecked")
// Constructor to initialize the hash table with a specified size
public LinearProbingHashMap(int size) {
this.hsize = size;
keys = (Key[]) new Comparable[size];
@ -81,7 +108,7 @@ public class LinearProbingHashMap<Key extends Comparable<Key>, Value> extends Ma
i = increment(i);
while (keys[i] != null) {
// delete keys[i] an vals[i] and reinsert
// Save the key and value for rehashing
Key keyToRehash = keys[i];
Value valToRehash = values[i];
keys[i] = null;

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@ -1,8 +1,91 @@
package com.thealgorithms.datastructures.hashmap.hashing;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertFalse;
import static org.junit.jupiter.api.Assertions.assertTrue;
import org.junit.jupiter.api.Test;
class LinearProbingHashMapTest extends MapTest {
@Override
<Key extends Comparable<Key>, Value> Map<Key, Value> getMap() {
return new LinearProbingHashMap<>();
}
@Test
void putNullKey() {
Map<Integer, String> map = getMap();
assertFalse(map.put(null, "value"), "Putting a null key should return false");
}
@Test
void putDuplicateKeys() {
Map<Integer, String> map = getMap();
map.put(1, "one");
map.put(1, "uno");
assertEquals("uno", map.get(1), "Value should be updated to 'uno'");
}
@Test
void putResizeTest() {
Map<Integer, String> map = getMap();
for (int i = 0; i < 20; i++) {
map.put(i, String.valueOf(i));
}
assertEquals(20, map.size(), "Map size should be 20 after inserting 20 elements");
}
@Test
void deleteNonExistentKey() {
Map<Integer, String> map = getMap();
assertFalse(map.delete(999), "Deleting a non-existent key should return false");
}
@Test
void deleteAndReinsert() {
Map<Integer, String> map = getMap();
map.put(1, "one");
map.delete(1);
assertFalse(map.contains(1), "Map should not contain the deleted key");
map.put(1, "one again");
assertTrue(map.contains(1), "Map should contain the key after reinsertion");
}
@Test
void resizeDown() {
Map<Integer, String> map = getMap();
for (int i = 0; i < 16; i++) {
map.put(i, String.valueOf(i));
}
for (int i = 0; i < 12; i++) {
map.delete(i);
}
assertEquals(4, map.size(), "Map size should be 4 after deleting 12 elements");
}
@Test
void keysOrderTest() {
Map<Integer, String> map = getMap();
for (int i = 10; i > 0; i--) {
map.put(i, String.valueOf(i));
}
int expectedKey = 1;
for (Integer key : map.keys()) {
assertEquals(expectedKey++, key, "Keys should be in sorted order");
}
}
@Test
void stressTest() {
Map<Integer, String> map = getMap();
for (int i = 0; i < 1000; i++) {
map.put(i, String.valueOf(i));
assertEquals(i + 1, map.size(), "Size should match number of inserted elements");
}
for (int i = 0; i < 500; i++) {
map.delete(i);
assertEquals(1000 - (i + 1), map.size(), "Size should decrease correctly");
}
}
}