Compare commits

..

19 Commits

Author SHA1 Message Date
dd369b451a heap implementation 2025-02-20 02:03:06 +05:30
e0c20341ad Merge remote-tracking branch 'upstream/practice' into kruti-working-branch 2025-02-19 23:30:11 +05:30
0f662bf89c Adding heap sort to practice 2025-02-16 21:59:28 +00:00
2679715bb2 Heapsort Implementation 2025-02-16 21:59:28 +00:00
e24ed7cf50 queue wrapping bug fixes 2025-02-13 22:48:38 +05:30
026b6c1d09 Array queue wraping 2025-02-13 00:43:52 +05:30
ca1391130d Code improvements 2025-02-12 23:58:08 +05:30
cc3fc5df3d Quick sort implementation 2025-02-09 21:11:39 +05:30
a409bce387 Merge remote-tracking branch 'upstream/practice' into kruti-working-branch 2025-02-09 11:44:57 +05:30
b8da0cb3b1 merge sot modifications 2025-02-09 11:41:35 +05:30
b8f6081173 practice (#13)
Reviewed-on: #13
Co-authored-by: hitanshu310 <hitanshu98@gmail.com>
Co-committed-by: hitanshu310 <hitanshu98@gmail.com>
2025-02-07 21:00:19 +00:00
5a73f4ffda Merge sort implementation 2025-02-08 01:04:46 +05:30
d091dc4c5d Merge branch 'practice' of https://gitea.hithomelabs.com/Hithomelabs/Princeton1 into kruti-working-branch 2025-02-07 00:01:14 +05:30
9ab321b545 Merge remote-tracking branch 'upstream/main' into kruti-working-branch 2025-02-06 23:55:41 +05:30
c425ddb53e sort implementation added 2025-02-06 23:54:13 +05:30
d6d3111f51 Adding merge sort practice code 2025-02-03 21:25:22 +00:00
05db13b2ee Mode commonly used objects to a new module common, added dependencies and test dependencies for other modules on common, added Merge sort, client and tests 2025-02-03 21:25:22 +00:00
a9d0bbf4d1 array stack implemetation 2025-02-02 23:31:30 +05:30
34dac53f86 Removing implementations to create a practice branch 2025-02-02 14:08:10 +05:30
42 changed files with 355 additions and 1357 deletions

3
.gitignore vendored
View File

@ -1,6 +1,7 @@
# Ignore Gradle project-specific cache directory
.gradle
# Igonre the .idea directory
.idea
# Ignore Gradle build output directory
build
bin

View File

@ -1,125 +0,0 @@
### Sorting an array of size (n) : 32
n^2 for this array is : 1024.0<br>
nlogn for this array is : 160.0
| ARRAY NATURE | ALGORITHM | TIME ELAPSED (ns) | COMPARES | EXCHANGES |
|--|--|--|--|--|
| ALREADY SORTED | Selection Sort | 146007.0 | 496.0 | 31.0 |
| ALREADY SORTED | Insertion Sort | 18685.0 | 31.0 | 0.0 |
| ALREADY SORTED | Shell Sort | 10791.0 | 78.0 | 0.0 |
| ALREADY SORTED | Merge Sort | 56837.0 | 160.0 | 0.0 |
| ALREADY SORTED | Quick Sort | 44935.0 | 558.0 | 31.0 |
| ALREADY SORTED | Three Way Quick Sort | 84400.0 | 357.0 | 195.0 |
| ALREADY SORTED | Heap Sort | 35678.0 | 231.0 | 146.0 |
| PARTIALLY SORTED | Selection Sort | 31420.0 | 496.0 | 31.0 |
| PARTIALLY SORTED | Insertion Sort | 10620.0 | 100.0 | 70.0 |
| PARTIALLY SORTED | Shell Sort | 12814.0 | 121.0 | 48.0 |
| PARTIALLY SORTED | Merge Sort | 28103.0 | 160.0 | 0.0 |
| PARTIALLY SORTED | Quick Sort | 17834.0 | 187.0 | 30.0 |
| PARTIALLY SORTED | Three Way Quick Sort | 53461.0 | 240.0 | 145.0 |
| PARTIALLY SORTED | Heap Sort | 10079.0 | 226.0 | 142.0 |
| REVERSE SORTED | Selection Sort | 31490.0 | 496.0 | 31.0 |
| REVERSE SORTED | Insertion Sort | 51979.0 | 496.0 | 496.0 |
| REVERSE SORTED | Shell Sort | 19998.0 | 114.0 | 58.0 |
| REVERSE SORTED | Merge Sort | 24306.0 | 160.0 | 0.0 |
| REVERSE SORTED | Quick Sort | 38042.0 | 542.0 | 31.0 |
| REVERSE SORTED | Three Way Quick Sort | 55355.0 | 496.0 | 496.0 |
| REVERSE SORTED | Heap Sort | 8726.0 | 202.0 | 112.0 |
| RANDOMLY ORDERED | Selection Sort | 38714.0 | 496.0 | 31.0 |
| RANDOMLY ORDERED | Insertion Sort | 28294.0 | 282.0 | 255.0 |
| RANDOMLY ORDERED | Shell Sort | 15409.0 | 152.0 | 89.0 |
| RANDOMLY ORDERED | Merge Sort | 25057.0 | 160.0 | 0.0 |
| RANDOMLY ORDERED | Quick Sort | 18345.0 | 228.0 | 37.0 |
| RANDOMLY ORDERED | Three Way Quick Sort | 27702.0 | 229.0 | 157.0 |
| RANDOMLY ORDERED | Heap Sort | 9458.0 | 218.0 | 133.0 |
| FEW FREQUENTLY OCCURING | Selection Sort | 32061.0 | 496.0 | 31.0 |
| FEW FREQUENTLY OCCURING | Insertion Sort | 21601.0 | 213.0 | 183.0 |
| FEW FREQUENTLY OCCURING | Shell Sort | 11792.0 | 118.0 | 50.0 |
| FEW FREQUENTLY OCCURING | Merge Sort | 26440.0 | 160.0 | 0.0 |
| FEW FREQUENTLY OCCURING | Quick Sort | 17994.0 | 203.0 | 38.0 |
| FEW FREQUENTLY OCCURING | Three Way Quick Sort | 17162.0 | 192.0 | 80.0 |
| FEW FREQUENTLY OCCURING | Heap Sort | 9138.0 | 223.0 | 128.0 |
### Sorting an array of size (n) : 512
n^2 for this array is : 262144.0<br>
nlogn for this array is : 4608.0
| ARRAY NATURE | ALGORITHM | TIME ELAPSED (ns) | COMPARES | EXCHANGES |
|--|--|--|--|--|
| ALREADY SORTED | Selection Sort | 4850717.0 | 130816.0 | 511.0 |
| ALREADY SORTED | Insertion Sort | 35989.0 | 511.0 | 0.0 |
| ALREADY SORTED | Shell Sort | 158500.0 | 2529.0 | 0.0 |
| ALREADY SORTED | Merge Sort | 449562.0 | 4608.0 | 0.0 |
| ALREADY SORTED | Quick Sort | 3002463.0 | 131838.0 | 511.0 |
| ALREADY SORTED | Three Way Quick Sort | 1673142.0 | 25227.0 | 13149.0 |
| ALREADY SORTED | Heap Sort | 254052.0 | 7958.0 | 4464.0 |
| PARTIALLY SORTED | Selection Sort | 1965597.0 | 130816.0 | 511.0 |
| PARTIALLY SORTED | Insertion Sort | 2597005.0 | 29114.0 | 28607.0 |
| PARTIALLY SORTED | Shell Sort | 425297.0 | 5355.0 | 2949.0 |
| PARTIALLY SORTED | Merge Sort | 298236.0 | 4608.0 | 0.0 |
| PARTIALLY SORTED | Quick Sort | 188748.0 | 6429.0 | 952.0 |
| PARTIALLY SORTED | Three Way Quick Sort | 300219.0 | 9526.0 | 5537.0 |
| PARTIALLY SORTED | Heap Sort | 221880.0 | 7689.0 | 4266.0 |
| REVERSE SORTED | Selection Sort | 1964334.0 | 130816.0 | 511.0 |
| REVERSE SORTED | Insertion Sort | 8566013.0 | 130816.0 | 130816.0 |
| REVERSE SORTED | Shell Sort | 501150.0 | 4098.0 | 1790.0 |
| REVERSE SORTED | Merge Sort | 133242.0 | 4608.0 | 0.0 |
| REVERSE SORTED | Quick Sort | 2777496.0 | 131582.0 | 511.0 |
| REVERSE SORTED | Three Way Quick Sort | 4018770.0 | 130816.0 | 130816.0 |
| REVERSE SORTED | Heap Sort | 316731.0 | 7203.0 | 3772.0 |
| RANDOMLY ORDERED | Selection Sort | 2139577.0 | 130816.0 | 511.0 |
| RANDOMLY ORDERED | Insertion Sort | 1740760.0 | 66207.0 | 65704.0 |
| RANDOMLY ORDERED | Shell Sort | 845052.0 | 5834.0 | 3503.0 |
| RANDOMLY ORDERED | Merge Sort | 170153.0 | 4608.0 | 0.0 |
| RANDOMLY ORDERED | Quick Sort | 137871.0 | 5685.0 | 1068.0 |
| RANDOMLY ORDERED | Three Way Quick Sort | 266034.0 | 6785.0 | 4434.0 |
| RANDOMLY ORDERED | Heap Sort | 304848.0 | 7658.0 | 4172.0 |
| FEW FREQUENTLY OCCURING | Selection Sort | 5186584.0 | 130816.0 | 511.0 |
| FEW FREQUENTLY OCCURING | Insertion Sort | 1422557.0 | 57576.0 | 57067.0 |
| FEW FREQUENTLY OCCURING | Shell Sort | 432791.0 | 4097.0 | 1723.0 |
| FEW FREQUENTLY OCCURING | Merge Sort | 154453.0 | 4608.0 | 0.0 |
| FEW FREQUENTLY OCCURING | Quick Sort | 278238.0 | 15531.0 | 906.0 |
| FEW FREQUENTLY OCCURING | Three Way Quick Sort | 63401.0 | 2489.0 | 969.0 |
| FEW FREQUENTLY OCCURING | Heap Sort | 280381.0 | 7212.0 | 3819.0 |
### Sorting an array of size (n) : 1024
n^2 for this array is : 1048576.0<br>
nlogn for this array is : 10240.0
| ARRAY NATURE | ALGORITHM | TIME ELAPSED (ns) | COMPARES | EXCHANGES |
|--|--|--|--|--|
| ALREADY SORTED | Selection Sort | 7498749.0 | 523776.0 | 1023.0 |
| ALREADY SORTED | Insertion Sort | 22482.0 | 1023.0 | 0.0 |
| ALREADY SORTED | Shell Sort | 311771.0 | 5601.0 | 0.0 |
| ALREADY SORTED | Merge Sort | 276915.0 | 10240.0 | 0.0 |
| ALREADY SORTED | Quick Sort | 6711786.0 | 525822.0 | 1023.0 |
| ALREADY SORTED | Three Way Quick Sort | 3649069.0 | 70999.0 | 36808.0 |
| ALREADY SORTED | Heap Sort | 546827.0 | 18060.0 | 9968.0 |
| PARTIALLY SORTED | Selection Sort | 5672566.0 | 523776.0 | 1023.0 |
| PARTIALLY SORTED | Insertion Sort | 1121306.0 | 119251.0 | 118229.0 |
| PARTIALLY SORTED | Shell Sort | 888765.0 | 12869.0 | 7515.0 |
| PARTIALLY SORTED | Merge Sort | 998493.0 | 10240.0 | 0.0 |
| PARTIALLY SORTED | Quick Sort | 220528.0 | 13342.0 | 2143.0 |
| PARTIALLY SORTED | Three Way Quick Sort | 1015716.0 | 18425.0 | 10928.0 |
| PARTIALLY SORTED | Heap Sort | 412432.0 | 17351.0 | 9501.0 |
| REVERSE SORTED | Selection Sort | 5445486.0 | 523776.0 | 1023.0 |
| REVERSE SORTED | Insertion Sort | 4216956.0 | 523776.0 | 523776.0 |
| REVERSE SORTED | Shell Sort | 618302.0 | 9175.0 | 4430.0 |
| REVERSE SORTED | Merge Sort | 923041.0 | 10240.0 | 0.0 |
| REVERSE SORTED | Quick Sort | 7040860.0 | 525310.0 | 1023.0 |
| REVERSE SORTED | Three Way Quick Sort | 3.3696654E7 | 523776.0 | 523776.0 |
| REVERSE SORTED | Heap Sort | 374319.0 | 16407.0 | 8542.0 |
| RANDOMLY ORDERED | Selection Sort | 538151.0 | 523776.0 | 1023.0 |
| RANDOMLY ORDERED | Insertion Sort | 2208077.0 | 263988.0 | 262976.0 |
| RANDOMLY ORDERED | Shell Sort | 985999.0 | 13931.0 | 8766.0 |
| RANDOMLY ORDERED | Merge Sort | 1100978.0 | 10240.0 | 0.0 |
| RANDOMLY ORDERED | Quick Sort | 244102.0 | 13790.0 | 2377.0 |
| RANDOMLY ORDERED | Three Way Quick Sort | 911649.0 | 16118.0 | 10074.0 |
| RANDOMLY ORDERED | Heap Sort | 414616.0 | 17306.0 | 9311.0 |
| FEW FREQUENTLY OCCURING | Selection Sort | 536507.0 | 523776.0 | 1023.0 |
| FEW FREQUENTLY OCCURING | Insertion Sort | 1991185.0 | 241533.0 | 240512.0 |
| FEW FREQUENTLY OCCURING | Shell Sort | 561314.0 | 8621.0 | 3374.0 |
| FEW FREQUENTLY OCCURING | Merge Sort | 990428.0 | 10240.0 | 0.0 |
| FEW FREQUENTLY OCCURING | Quick Sort | 746566.0 | 59026.0 | 1844.0 |
| FEW FREQUENTLY OCCURING | Three Way Quick Sort | 229926.0 | 4749.0 | 1894.0 |
| FEW FREQUENTLY OCCURING | Heap Sort | 172988.0 | 16171.0 | 8449.0 |

View File

@ -1,30 +0,0 @@
package com.hithomelabs.clients.Benchmarks;
public class ArraySize {
private final int size;
public ArraySize(int n){
size = n;
}
public int getSize() {
return size;
}
public double getNSquare(){
return Math.pow(size,2);
}
public double getNlogN(){
return size * Math.log(size)/ Math.log(2);
}
public double getLogN(){
return Math.log(size)/ Math.log(2);
}
@Override
public String toString() {
return "### Sorting an array of size (n) : " + getSize() + " \n" + "n^2 for this array is : " + getNSquare() + "<br> \n" + "nlogn for this array is : " + getNlogN() + "\n";
}
}

View File

@ -1,47 +0,0 @@
package com.hithomelabs.clients.Benchmarks;
import com.hithomelabs.clients.Benchmarks.Sortables.*;
import com.hithomelabs.princeton1.common.Apple;
import com.hithomelabs.princeton1.module5.MeasurableSort;
import java.util.ArrayList;
import java.util.List;
public class BenchMark {
private ArraySize size;
private List<MeasurableSort<Apple>> algorithms;
private List<Sortable<Apple>> sortableCollections;
private static final String header = "| ARRAY NATURE | ALGORITHM | TIME ELAPSED (ns) | COMPARES | EXCHANGES |";
// * Helps get a table in markdown
private static final String markdownTableFormatter = "|--|--|--|--|--|";
BenchMark(int size, List<MeasurableSort<Apple>> algorithms) {
this.size = new ArraySize(size);
this.algorithms = algorithms;
sortableCollections = new ArrayList<Sortable<Apple>>();
sortableCollections.add(new AlreadySortedApples(size));
sortableCollections.add(new PartiallySortedApples(size, 1000));
sortableCollections.add(new ReverseSortedApples(size));
sortableCollections.add(new RandomlySizedApples(size, 1000));
sortableCollections.add(new FewFrequentlyOccuringApples(size));
}
public void run() {
System.out.println(size);
System.out.println(header);
System.out.println(markdownTableFormatter);
for(Sortable<Apple> array: sortableCollections){
new Bundle<Apple>(array, algorithms).run(Apple.COMPARE_BY_SIZE);
}
System.out.println();
}
}

View File

@ -1,41 +0,0 @@
package com.hithomelabs.clients.Benchmarks;
import com.hithomelabs.princeton1.common.Apple;
import com.hithomelabs.princeton1.module5.Insertion;
import com.hithomelabs.princeton1.module5.MeasurableSort;
import com.hithomelabs.princeton1.module5.Selection;
import com.hithomelabs.princeton1.module5.Shell;
import com.hithomelabs.princeton1.module6.Merge;
import com.hithomelabs.princeton1.module7.Quick;
import com.hithomelabs.princeton1.module7.ThreeWayQuick;
import com.hithomelabs.princeton1.module8.HeapSort;
import java.util.ArrayList;
import java.util.List;
public class BenchMarkingClient {
public static void main(String[] args) {
List<MeasurableSort<Apple>> algorithms = new ArrayList<MeasurableSort<Apple>>();
algorithms.add(new Selection<Apple>());
algorithms.add(new Insertion<Apple>());
algorithms.add(new Shell<Apple>());
algorithms.add(new Merge<Apple>());
algorithms.add(new Quick<Apple>());
algorithms.add(new ThreeWayQuick<Apple>());
algorithms.add(new HeapSort<Apple>());
BenchMark b1 = new BenchMark(32, algorithms);
BenchMark b2 = new BenchMark(512, algorithms);
BenchMark b3 = new BenchMark(1024, algorithms);
BenchMark b4 = new BenchMark(4096,algorithms);
//b1.run();
//b2.run();
//b3.run();
b4.run();
}
}

View File

@ -1,38 +0,0 @@
package com.hithomelabs.clients.Benchmarks;
import com.hithomelabs.princeton1.common.Apple;
import com.hithomelabs.princeton1.module5.MeasurableSort;
import com.hithomelabs.princeton1.module5.SortingMetaData;
import java.util.Comparator;
import java.util.List;
/*
* * A sorting bundle, that bundles one array and passes a copy of that array for all algorithms to sort
*/
public class Bundle<E> {
private Sortable<E> array;
private List<MeasurableSort<E>> algorithms;
private Comparator<E> cmp;
Bundle(Sortable<E> array, List<MeasurableSort<E>> algorithms){
this.array = array;
this.algorithms = algorithms;
}
Bundle (Sortable<E> array, List<MeasurableSort<E>> algorithms, Comparator<E> cmp){
this(array, algorithms);
if (cmp != null) this.cmp = cmp;
}
public void run(Comparator<E> cmp){
for (MeasurableSort<E> sortingAlgorithm: algorithms){
SortingMetaData metaData = new SortingMetaData();
sortingAlgorithm.sort(array.getArray(), cmp, metaData);
System.out.println("| " + array.getOrdering() + " | " + sortingAlgorithm + " | " + metaData.timeElapsed() + " | " + metaData.getCompares() + " | " + metaData.getExchanges() + " |" );
}
}
}

View File

@ -1,8 +0,0 @@
package com.hithomelabs.clients.Benchmarks;
public interface Sortable<E> {
public E[] getArray();
public String getOrdering();
}

View File

@ -1,25 +0,0 @@
package com.hithomelabs.clients.Benchmarks.Sortables;
import com.hithomelabs.clients.Benchmarks.Sortable;
import com.hithomelabs.princeton1.common.Apple;
public class AlreadySortedApples implements Sortable<Apple> {
Apple[] apples;
public AlreadySortedApples(int size){
apples = new Apple[size];
for (int i = 0; i < size; i++)
apples[i] = new Apple(i);
}
@Override
public Apple[] getArray() {
return apples.clone();
}
@Override
public String getOrdering() {
return "ALREADY SORTED";
}
}

View File

@ -1,30 +0,0 @@
package com.hithomelabs.clients.Benchmarks.Sortables;
import com.hithomelabs.clients.Benchmarks.Sortable;
import com.hithomelabs.princeton1.common.Apple;
import java.util.Random;
public class FewFrequentlyOccuringApples implements Sortable<Apple> {
Apple[] apples;
Random random;
private static final int DEFAULT_SIZE_RANGE = 10;
public FewFrequentlyOccuringApples(int size){
random = new Random();
apples = new Apple[size];
for (int i = 0; i < size; i++)
apples[i] = new Apple(random.nextInt(DEFAULT_SIZE_RANGE));
}
@Override
public Apple[] getArray() {
return apples.clone();
}
@Override
public String getOrdering() {
return "FEW FREQUENTLY OCCURING";
}
}

View File

@ -1,34 +0,0 @@
package com.hithomelabs.clients.Benchmarks.Sortables;
import com.hithomelabs.clients.Benchmarks.Sortable;
import com.hithomelabs.princeton1.common.Apple;
import com.hithomelabs.princeton1.module5.ComparableHelper;
import com.hithomelabs.princeton1.module8.HeapSort;
import java.util.Random;
public class PartiallySortedApples implements Sortable<Apple>, ComparableHelper {
Apple[] apples;
Random random;
public PartiallySortedApples(int size, int sizeRange){
random = new Random();
apples = new Apple[size];
for (int i = 0; i < size; i++)
apples[i] = new Apple(random.nextInt(sizeRange));
HeapSort.heapify(apples);
int N = apples.length;
for (int i = 0; i < N/2; i++)
ComparableHelper.exch(apples, i, N-i-1);
}
@Override
public Apple[] getArray() {
return apples.clone();
}
@Override
public String getOrdering() {
return "PARTIALLY SORTED";
}
}

View File

@ -1,30 +0,0 @@
package com.hithomelabs.clients.Benchmarks.Sortables;
import com.hithomelabs.clients.Benchmarks.Sortable;
import com.hithomelabs.princeton1.common.Apple;
import java.util.Random;
public class RandomlySizedApples implements Sortable<Apple> {
Apple[] apples;
Random random;
public RandomlySizedApples(int size, int sizeRange){
random = new Random();
apples = new Apple[size];
for (int i = 0; i < size; i++)
apples[i] = new Apple(random.nextInt(sizeRange));
}
@Override
public Apple[] getArray() {
return apples.clone();
}
@Override
public String getOrdering() {
return "RANDOMLY ORDERED";
}
}

View File

@ -1,25 +0,0 @@
package com.hithomelabs.clients.Benchmarks.Sortables;
import com.hithomelabs.clients.Benchmarks.Sortable;
import com.hithomelabs.princeton1.common.Apple;
public class ReverseSortedApples implements Sortable<Apple> {
Apple[] apples;
public ReverseSortedApples(int size){
apples = new Apple[size];
for (int i = 0; i < size; i++)
apples[i] = new Apple(size-i);
}
@Override
public Apple[] getArray() {
return apples.clone();
}
@Override
public String getOrdering() {
return "REVERSE SORTED";
}
}

View File

@ -1,23 +0,0 @@
package com.hithomelabs.clients.module7;
import com.hithomelabs.princeton1.common.Apple;
import com.hithomelabs.princeton1.module7.Quick;
import com.hithomelabs.princeton1.module7.ThreeWayQuick;
import java.util.Random;
public class ThreeWayQuickSortClient {
public static void main(String[] args) {
int size = 100;
Apple[] apples = new Apple[size];
ThreeWayQuick<Apple> quick = new ThreeWayQuick<>();
for (int i = 0; i < apples.length; i++) {
apples[i] = new Apple(new Random().nextInt(10));
}
quick.sort(apples);
for (int i = 0; i < apples.length; i++)
System.out.println(apples[i]);
}
}

View File

@ -1,18 +0,0 @@
package com.hithomelabs.clients.module8;
import com.hithomelabs.princeton1.common.Apple;
import com.hithomelabs.princeton1.module8.PriorityQueue;
import java.util.Random;
public class PriorityQueueClient {
public static void main(String[] args){
PriorityQueue<Apple> priorityQueue = new PriorityQueue<>();
for(int i=0; i<100; i++){
priorityQueue.enqueue(new Apple(new Random().nextInt(100)));
}
while (!priorityQueue.isEmpty()){
System.out.println(priorityQueue.dequeue());
}
}
}

View File

@ -1,18 +1,9 @@
package com.hithomelabs.princeton1.common;
import java.util.Comparator;
import java.util.Objects;
public class Apple implements Comparable<Apple> {
private int size;
public static Comparator<Apple> COMPARE_BY_SIZE = new Comparator<Apple>() {
@Override
public int compare(Apple a1, Apple a2) {
if(a1.size < a2.size) return -1;
else if (a1.size == (a2.size)) return 0;
else return 1;
}
};
public Apple(int size) {
this.size = size;

View File

@ -6,23 +6,11 @@ import javax.annotation.Nonnull;
public class ArrayQueue<E> extends Queue<E>{
// insertion from tail, removal from head
public static final int DEFAULT_CAPACITY = 10;
private int capacity;
private int tail;
private int head;
private E[] queueArray = (E[]) new Object[5];
private int startPtr;
private int endPtr;
private int size;
private E[] arr;
public ArrayQueue(){
this(DEFAULT_CAPACITY);
}
public ArrayQueue(int capacity){
this.capacity = capacity;
arr = (E[]) new Object[this.capacity];
size = 0;
}
private int queueArrayLength = queueArray.length;
@Override
public boolean isEmpty() {
@ -31,49 +19,25 @@ public class ArrayQueue<E> extends Queue<E>{
@Override
public E dequeue() {
if(isEmpty())
if(isEmpty()){
return null;
else{
E element = arr[head];
// Garbage collection
arr[head] = null;
head = (head+1)%capacity;
size = size - 1;
if(capacity >= 40 && size < capacity/4){
capacity = capacity/2;
resize(capacity, capacity*2);
}
return element;
}
E currentValue = queueArray[startPtr % queueArrayLength];
queueArray[startPtr++ % queueArrayLength] = null;
size--;
if(size() < queueArrayLength/4){
changeArraySize(queueArrayLength/2);
}
return currentValue;
}
@Override
public void enqueue(E element) {
// We plan capacity expansion if needed
if (size == capacity){
capacity = capacity * 2;
resize(capacity, capacity/2);
queueArray[endPtr++ % queueArrayLength] = element;
size++;
if(size == queueArrayLength){
changeArraySize(queueArrayLength*2);
}
arr[tail] = element;
tail = (tail + 1) % capacity;
++size;
}
// When resize takes place always the original array is full, so copy the complete array as is
private void resize(int capacity, int oldCapacity) {
E[] resizedArr = (E[]) new Object[capacity];
for(int i = 0; i < size; i++) {
resizedArr[i] = arr[head];
// halving because capacity has now doubled
arr[head] = null;
head = (head + 1) % oldCapacity;
}
arr = resizedArr;
// When resizing takes place, we bring the head to 0 and the tail to size
// tail is where new inserts will be made and head will be where elements will be removed
tail = size;
head = 0;
}
@Override
@ -81,24 +45,37 @@ public class ArrayQueue<E> extends Queue<E>{
return size;
}
@Override
@Nonnull
public Iterator<E> iterator() {
return new Iterator<E>() {
int counter = size;
int pointer = head;
@Override
public boolean hasNext() {
return counter != 0;
}
private void changeArraySize(int targetSize){
E[] tempArray = queueArray;
int oldArraySize = tempArray.length;
queueArray = (E[]) new Object[targetSize];
int j = 0;
@Override
public E next() {
E element = arr[pointer];
pointer = (pointer + 1)% capacity;
--counter;
return element;
}
};
for(int i=0; i<size; i++)
queueArray[j++]=tempArray[(startPtr+i)%oldArraySize];
endPtr = size();
startPtr = 0;
queueArrayLength = queueArray.length;
}
@Nonnull
@Override
public Iterator<E> iterator() {
return new QueueArrayIterator();
}
private class QueueArrayIterator implements Iterator<E>{
private int iteratorIndex = startPtr;
@Override
public boolean hasNext() {
return iteratorIndex % queueArrayLength < endPtr % queueArrayLength;
}
@Override
public E next() {
return queueArray[iteratorIndex++ % queueArrayLength];
}
}
}

View File

@ -6,93 +6,68 @@ import javax.annotation.Nonnull;
// Creating a generic stack of type E
public class ArrayStack<E> extends Stack<E> {
// Capacity and size are two variables, capacity determines total capacity of array, capacity defaults at 10
// every time size == capacity, capacity = 2 * capacity
private static final int DEFAULT_CAPACITY = 10;
private int capacity;
private int size;
private E[] arr;
public ArrayStack(int capacity){
this.capacity = capacity;
arr = (E[]) new Object[this.capacity];
}
// Constructor chaining, default constructor will call parametrized constructor with default initial capacity 10
public ArrayStack(){
this(DEFAULT_CAPACITY);
}
E[] stackArray = (E[]) new Object[1];
private int index = 0;
private int arrayLength = stackArray.length;
@Override
public boolean isEmpty() {
return size == 0;
return index == 0;
}
private void changeCapacity(int newCapacity){
E[] resizedArr = (E[]) new Object[newCapacity];
for (int i = 0; i < size; i++)
resizedArr[i] = arr[i];
arr = resizedArr;
}
private void incrementSize(){
if (size == capacity){
capacity = 2 * capacity;
changeCapacity(capacity);
}
}
// Push always happens at the end of the stack
// Say the size of the stack is 1, new element gets inserted at 1
@Override
public void push(E element) {
// Lazy approach, we assume size to always be lesser than capacity
incrementSize();
arr[size++] = element;
if(index == arrayLength){
changeArraySize(arrayLength*2);
}
stackArray[index] = element;
index++;
}
@Override
public E pop() {
if (isEmpty())
if(index == 0){
return null;
else{
E e = arr[--size];
arr[size] = null;
checkResize();
return e;
}
}
private void checkResize() {
if (size < capacity / 4 && capacity >= 20){
capacity = capacity / 2;
changeCapacity(capacity);
index--;
if(index < arrayLength/4){
changeArraySize(arrayLength/2);
}
E temp = stackArray[index];
stackArray[index] = null;
return temp;
}
@Override
public int size() {
return size;
return index;
}
@Override
@Nonnull
@Override
public Iterator<E> iterator() {
return new Iterator<E>() {
return new StackIterator();
}
int current = 0;
private void changeArraySize(int intendedSize){
E[] tempArray = stackArray;
int oldArraySize = stackArray.length;
stackArray = (E[]) new Object[intendedSize];
arrayLength = stackArray.length;
System.arraycopy(tempArray, 0, stackArray, 0, Math.min(oldArraySize, arrayLength));
}
@Override
public boolean hasNext() {
return current != size;
}
private class StackIterator implements Iterator<E>{
private int iteratorIndex = 0;
@Override
public E next() {
E element = arr[current];
current = current + 1;
return element;
}
};
@Override
public boolean hasNext() {
return stackArray[iteratorIndex] != null;
}
@Override
public E next() {
return stackArray[iteratorIndex++];
}
}
}

View File

@ -5,70 +5,76 @@ import java.util.Iterator;
public class LinkedQueue<E> extends Queue<E>{
Node head;
Node tail;
int size;
Node<E> start = null;
Node<E> end = null;
private class Node{
E value;
Node next;
static private class Node<E>{
E data;
Node<E> next;
Node(E value){
this.value = value;
private Node(E element){
data=element;
next=null;
}
}
@Override
public boolean isEmpty() {
return size==0;
return start == null;
}
@Override
public E dequeue() {
if(isEmpty())
return null;
E element = head.value;
// Only a single element is present
if (head == tail){
tail = null;
}
head = head.next;
--size;
return element;
E currentValue = start.data;
start = start.next;
if(isEmpty())
end = null;
return currentValue;
}
@Override
public void enqueue(E element) {
Node newNode = new Node(element);
Node<E> new_node = new Node<E>(element);
if(isEmpty())
head = newNode;
start = new_node;
else
tail.next = newNode;
tail = newNode;
++size;
end.next = new_node;
end = new_node;
}
@Override
public int size() {
int size = 0;
Node<E> sizePtr = start;
while (sizePtr != null) {
sizePtr = sizePtr.next;
size++;
}
return size;
}
@Override
@Nonnull
@Override
public Iterator<E> iterator() {
return new Iterator<E>() {
Node current = head;
@Override
public boolean hasNext() {
return current != null;
}
return new LinkedQueueIterator();
}
@Override
public E next() {
E element = current.value;
current = current.next;
return element;
}
};
private class LinkedQueueIterator implements Iterator<E>{
Node<E> traversePtr = start;
@Override
public boolean hasNext() {
return traversePtr != null;
}
@Override
public E next() {
E currentValue = traversePtr.data;
traversePtr = traversePtr.next;
return currentValue;
}
}
}

View File

@ -1,72 +1,71 @@
package com.hithomelabs.princeton1.module4;
import javax.annotation.Nonnull;
import java.util.Iterator;
// Creating a concrete linked Implementation of Stack
public class LinkedStack<E> extends Stack<E>{
// No need for an explicit constructor as size will be initialized to 0 and root to null
private int size;
private Node first;
static class Node<E>{
E data;
Node<E> next;
// By default instance variables are package private
private class Node{
E value;
Node next;
Node(E data) {
this.data = data;
this.next = null;
}
}
// Will return true if size is 0
Node<E> head = null;
int stackLength = 0;
@Override
public boolean isEmpty() {
return (this.size == 0);
return head == null;
}
// Adds an element to the start of a linked list
@Override
public void push(E element) {
Node newNode = new Node();
newNode.value = element;
newNode.next = first;
first = newNode;
this.size = this.size + 1;
Node<E> new_node = new Node<E>(element);
new_node.next = head;
head = new_node;
stackLength++;
}
@Override
public E pop() {
if (this.isEmpty())
if(stackLength == 0)
return null;
else{
Node toBePopped = first;
first = first.next;
this.size = this.size - 1;
return toBePopped.value;
}
E currentValue = head.data;
head = head.next;
return currentValue;
}
@Override
public int size() {
return this.size;
return stackLength;
}
@Nonnull
@Override
public Iterator<E> iterator() {
return new Iterator<E>() {
// Internal classes can access outer objects
Node current = first;
@Override
public boolean hasNext() {
return current != null;
}
@Override
public E next() {
E element = current.value;
current = current.next;
return element;
}
};
return new LinkedlistIterator();
}
private class LinkedlistIterator implements Iterator<E>{
Node<E> iteratorPtr = head;
@Override
public boolean hasNext() {
return iteratorPtr.next != null;
}
@Override
public E next() {
E currentValue = iteratorPtr.data;
iteratorPtr = iteratorPtr.next;
return currentValue;
}
}
}

View File

@ -0,0 +1,19 @@
package com.hithomelabs.princeton1.module5;
public abstract class AbstractCustomSorts<E> {
public abstract void sort(E[] arr);
// TODO: Implement this method
public void exch(E[] arr, int j, int i) {
E temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
// TODO: Implement this method
public boolean less(Comparable<E> e1, E e2) {
return e1.compareTo(e2) < 0;
}
}

View File

@ -1,18 +0,0 @@
package com.hithomelabs.princeton1.module5;
// * * Provides a set of helper functions less and exch for Comparable data types
public interface ComparableHelper {
static <T> void exch(T[] arr, int j, int i) {
T temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
static <T> boolean less(T e1, T e2) {
return ((Comparable<T>)e1).compareTo(e2) < 0;
}
static <T> boolean equals(T e1, T e2) { return ((Comparable<T>)e1).compareTo(e2) == 0;}
}

View File

@ -1,7 +0,0 @@
package com.hithomelabs.princeton1.module5;
public interface ComparableSort<E> {
void sort(E[] arr);
}

View File

@ -1,19 +0,0 @@
package com.hithomelabs.princeton1.module5;
import java.util.Comparator;
public interface ComparatorHelper extends ComparableHelper {
static <T> boolean less(T v, T w, Comparator<T> cmp) {
if (cmp == null) return ComparableHelper.less(v, w);
else
return cmp.compare(v, w) < 0;
}
static <T> boolean equals(T v, T w, Comparator<T> cmp) {
if (cmp == null) return ComparableHelper.equals(v, w);
else
return cmp.compare(v, w) == 0;
}
}

View File

@ -1,9 +0,0 @@
package com.hithomelabs.princeton1.module5;
import java.util.Comparator;
public interface ComparatorSort<E> extends ComparableSort<E> {
public void sort(E[] arr, Comparator<E> cmp);
}

View File

@ -1,46 +1,15 @@
package com.hithomelabs.princeton1.module5;
import java.util.Comparator;
public class Insertion<E> implements MeasurableSort<E>, MeasurableHelper{
public class Insertion<E> extends AbstractCustomSorts<E> {
@Override
public void sort(E[] arr) {
coreSortLogic(arr, null, null);
}
private void coreSortLogic(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
if (arr == null) return;
else {
int N = arr.length;
// * * swap arr[i] with each element greater to it's left
for (int i = 1; i < N; i++) {
int j = i;
while (j >= 1 && MeasurableHelper.less(arr[j], arr[j - 1], cmp, metaData)) {
MeasurableHelper.exch(arr, j, j - 1, metaData);
j = j - 1;
}
for(int i=1; i<arr.length; i++){
int k = i;
for(int j=i-1; j>=0 && less((Comparable<E>) arr[k], arr[j]); j--){
exch(arr, k, j);
k = j;
}
}
}
@Override
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
if (metaData != null)
metaData.startTime();
coreSortLogic(arr, cmp, metaData);
if (metaData != null)
metaData.endTime();
}
@Override
public void sort(E[] arr, Comparator<E> cmp) {
coreSortLogic(arr, cmp, null);
}
@Override
public String toString() {
return "Insertion Sort";
}
}

View File

@ -1,25 +0,0 @@
package com.hithomelabs.princeton1.module5;
import java.util.Comparator;
public interface MeasurableHelper extends ComparatorHelper{
static <T> boolean less(T v, T w, Comparator<T> cmp, SortingMetaData metaData) {
if (metaData != null)
metaData.incrementCompares();
return ComparatorHelper.less(v, w, cmp);
}
static <T> boolean equals(T v, T w, Comparator<T> cmp, SortingMetaData metaData) {
if (metaData != null)
metaData.incrementCompares();
return ComparatorHelper.equals(v, w, cmp);
}
static <T> void exch(T[] arr, int j, int i, SortingMetaData metaData) {
if (metaData != null)
metaData.incrementExchanges();
ComparableHelper.exch(arr, j, i);
}
}

View File

@ -1,9 +0,0 @@
package com.hithomelabs.princeton1.module5;
import java.util.Comparator;
public interface MeasurableSort<E> extends ComparatorSort<E> {
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData);
}

View File

@ -1,47 +1,20 @@
package com.hithomelabs.princeton1.module5;
import java.util.Comparator;
public class Selection<E> implements MeasurableSort<E>, MeasurableHelper {
/*
* * Selection sort "selects" the smallest element and swaps it with arr[0] of the array
* * Then proceeds to do the same swapping arr[i] with arr[i:arr.length-1]
*/
public void sort(E[] arr){
coreSortLogic(arr, null, null);
}
private void coreSortLogic(E[] arr, Comparator<E> cmp, SortingMetaData metaData){
if (arr == null) return;
Comparable<E>[] arr1 = (Comparable<E>[]) arr;
for(int i = 0; i < arr1.length - 1; i++){
/*
* * Selection sort "selects" the smallest element and swaps it with arr[0] of the array
* * Then proceeds to do the same swapping arr[i] with arr[i:arr.length-1]
*/
public class Selection<E> extends AbstractCustomSorts<E>{
@Override
public void sort(E[] arr) {
for (int i = 0; i < arr.length; i++) {
int minIndex = i;
for(int j = i+1; j < arr.length; j ++){
if (MeasurableHelper.less(arr[j], arr[minIndex], cmp, metaData)) minIndex = j;
for(int j = i+1; j < arr.length; j++){
if(less((Comparable<E>) arr[j], arr[minIndex]))
minIndex = j;
}
MeasurableHelper.exch(arr, i, minIndex, metaData);
exch(arr, i, minIndex);
}
}
@Override
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
if (metaData != null)
metaData.startTime();
coreSortLogic(arr, cmp, metaData);
if (metaData != null)
metaData.endTime();
}
@Override
public void sort(E[] arr, Comparator<E> cmp) {
coreSortLogic(arr, cmp, null);
}
@Override
public String toString() {
return "Selection Sort";
}
}

View File

@ -1,9 +1,13 @@
package com.hithomelabs.princeton1.module5;
import java.util.ArrayList;
import java.util.Comparator;
public class Shell<E> extends AbstractCustomSorts<E> {
public class Shell<E> implements MeasurableSort<E>, MeasurableHelper {
// * * sample metadata class to compare no. of sorts and compares, shell sort vs insertion sort
private class MetaData{
int compares;
int swaps;
}
/*
* * We will be performing h sort
@ -20,58 +24,48 @@ public class Shell<E> implements MeasurableSort<E>, MeasurableHelper {
*/
@Override
public void sort(E[] arr) {
coreSortLogic(arr,null,null);
}
MetaData metaData = new MetaData();
private void coreSortLogic(E[] arr, Comparator<E> cmp, SortingMetaData metaData){
int N = arr.length;
int h = 1;
// * * Calculates the largest value of h greater than n
while (3 * h + 1 < N) {
h = 3 * h + 1;
while(3*h + 1 < arr.length){
h = 3*h + 1;
}
while (h >= 1) {
h = hsort(arr, h, cmp, metaData);
h = h / 3;
while(h>=1){
hsort(arr, h, metaData);
h= h/3;
}
// for(int i=arr.length/10; i>=0; i--){
// hsort(arr, 3*i+1, metaData);
// }
System.out.println("Array sorted (shell sort) with " + metaData.compares + " compares and " + metaData.swaps + " swaps");
}
private int hsort(E[] arr, int h, Comparator<E> cmp, SortingMetaData metaData) {
int N = arr.length;
for(int i = h; i < N; i++){
int j = i;
while(j >= h && MeasurableHelper.less(arr[j], arr[j-h], cmp, metaData)){
MeasurableHelper.exch(arr, j, j-h, metaData);
j = j - h;
private void hsort(E[] arr, int h, MetaData metadata) {
for(int i=h; i<arr.length; i=i+1){
int k = i;
for(int j=i-h; j>=0; j=j-h){
metadata.compares++;
if(less((Comparable<E>) arr[k], arr[j])){
exch(arr, k, j);
k = j;
metadata.swaps++;
}
else{
break;
}
}
}
return h;
}
/*
* Sample implementation of insertion sort as h-sort of h = 1
* Will just be comparing the number of saps taken across both implementations
*/
public void insertionSort(E[] arr){
MetaData metaData = new MetaData();
int h = 1;
h = hsort(arr, h, null, null);
hsort(arr, h, metaData);
System.out.println("Array sorted (insertion sort) with " + metaData.compares + " compares and " + metaData.swaps + " swaps");
}
@Override
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
if (metaData != null)
metaData.startTime();
coreSortLogic(arr, cmp, metaData);
if (metaData != null)
metaData.endTime();
}
@Override
public void sort(E[] arr, Comparator<E> cmp) {
coreSortLogic(arr, cmp, null);
}
@Override
public String toString() {
return "Shell Sort";
}
}

View File

@ -1,41 +0,0 @@
package com.hithomelabs.princeton1.module5;
public class SortingMetaData {
private double tick;
private double tok;
private double exchanges;
private double compares;
public double timeElapsed(){
return tok - tick;
}
public void startTime(){
tick = System.nanoTime();
}
public void endTime(){
tok = System.nanoTime();
}
public void incrementCompares(){
++compares;
}
public void incrementExchanges(){
++exchanges;
}
public double getExchanges(){
return exchanges;
}
public double getCompares(){
return compares;
}
@Override
public String toString() {
return "Time elapsed: " + this.timeElapsed() + " nano-seconds \nCompares: "+this.compares+ "\nSwaps: "+this.exchanges;
}
}

View File

@ -11,7 +11,7 @@ import java.util.Random;
class SortTest {
private ArrayList<Apple> apples;
private ComparableSort<Apple> sortingAlgorithm;
private AbstractCustomSorts<Apple> sortingAlgorithm;
private Random random;
@BeforeEach
@ -21,7 +21,7 @@ class SortTest {
random = new Random();
}
private void testSort(ComparableSort<Apple> sortingAlgorithm) {
private void testSort(AbstractCustomSorts<Apple> sortingAlgorithm) {
for (int i = 0; i < 100; i++)
apples.add(new Apple(random.nextInt(100)));

View File

@ -1,79 +1,46 @@
package com.hithomelabs.princeton1.module6;
import com.hithomelabs.princeton1.module5.ComparableSort;
import com.hithomelabs.princeton1.module5.MeasurableHelper;
import com.hithomelabs.princeton1.module5.MeasurableSort;
import com.hithomelabs.princeton1.module5.SortingMetaData;
import com.hithomelabs.princeton1.module5.AbstractCustomSorts;
import java.util.Arrays;
import java.util.Comparator;
public class Merge<E> implements MeasurableSort<E>, MeasurableHelper {
public class Merge<E> extends AbstractCustomSorts<E> {
private E[] auxArr;
@Override
public void sort(E[] arr) {
coreSortLogic(arr, null, null);
auxArr = (E[]) new Object[arr.length];
merge_sort(arr, 0, arr.length-1);
}
private void coreSortLogic(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
int N = arr.length;
// * * aux is a helper array required for merge
E[] aux = Arrays.copyOf(arr, N);
mergesort(arr, aux, 0, N - 1, cmp, metaData);
}
private void merge_sort(E[] arr, int low_index, int high_index){
if(high_index - low_index > 0) {
int mid_index = low_index + (high_index - low_index)/2;
merge_sort(arr, low_index, mid_index);
merge_sort(arr, mid_index + 1, high_index);
private void mergesort(E[] arr, E[] aux, int lo, int hi, Comparator<E> cmp, SortingMetaData metaData) {
// Copy array
for(int i=low_index; i<= high_index; i++)
auxArr[i] = arr[i];
if (hi <= lo) return;
int mid = lo + (hi - lo) / 2;
mergesort(arr, aux, lo, mid, cmp, metaData);
mergesort(arr, aux, mid + 1, hi, cmp, metaData);
merge(arr, aux, lo, mid, hi, cmp, metaData);
}
private void merge(E[] arr, E[] aux, int lo, int mid, int hi, Comparator<E> cmp, SortingMetaData metaData) {
// * * creating backup of original array
for (int i = lo; i <= hi; i++)
aux[i] = arr[i];
int i = lo;
int j = mid + 1;
for (int k = lo; k <= hi; k++) {
// * If i has already reached mid, no need to compare we insert at pointer k
if (i > mid) {
arr[k] = aux[j++];
if (metaData != null)
metaData.incrementCompares();
} else if (j > hi) {
arr[k] = aux[i++];
if (metaData != null)
metaData.incrementCompares();
} else if (MeasurableHelper.less( aux[i], aux[j], cmp, metaData)) {
arr[k] = aux[i++];
// Sort
int low_index_ptr = low_index;
int mid_index_ptr = low_index + (high_index - low_index)/2;
int high_index_ptr = mid_index_ptr + 1;
if(!less((Comparable<E>) auxArr[mid_index_ptr], auxArr[high_index_ptr])) {
for (int i = low_index; i <= high_index; i++) {
if (low_index_ptr > mid_index_ptr) {
arr[i] = auxArr[high_index_ptr++];
} else if (high_index_ptr > high_index)
arr[i] = auxArr[low_index_ptr++];
else if (less((Comparable<E>) auxArr[low_index_ptr], auxArr[high_index_ptr]))
arr[i] = auxArr[low_index_ptr++];
else
arr[i] = auxArr[high_index_ptr++];
}
}
else arr[k] = aux[j++];
}
}
@Override
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
if (metaData != null)
metaData.startTime();
coreSortLogic(arr, cmp, metaData);
if (metaData != null)
metaData.endTime();
}
@Override
public void sort(E[] arr, Comparator<E> cmp) {
coreSortLogic(arr, cmp, null);
}
@Override
public String toString() {
return "Merge Sort";
}
}

View File

@ -1,6 +1,6 @@
package com.hithomelabs.princeton1.module6;
import com.hithomelabs.princeton1.module5.ComparableSort;
import com.hithomelabs.princeton1.module5.AbstractCustomSorts;
import com.hithomelabs.princeton1.common.Apple;
import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.BeforeEach;
@ -14,7 +14,7 @@ import static org.junit.jupiter.api.Assertions.*;
class MergeTest {
private ComparableSort<Apple> sortingAlgorithm;
private AbstractCustomSorts<Apple> sortingAlgorithm;
private ArrayList<Apple> apples;
private Random random;

View File

@ -1,79 +1,50 @@
package com.hithomelabs.princeton1.module7;
import com.hithomelabs.princeton1.module5.MeasurableHelper;
import com.hithomelabs.princeton1.module5.MeasurableSort;
import com.hithomelabs.princeton1.module5.SortingMetaData;
import java.util.Comparator;
import com.hithomelabs.princeton1.module5.AbstractCustomSorts;
public class Quick<E> implements MeasurableSort<E>, MeasurableHelper {
public class Quick<E> extends AbstractCustomSorts<E> {
@Override
public void sort(E[] arr) {
int N = arr.length;
quickSort(arr, 0, N - 1, null, null);
randomShuffle(arr);
partition(arr, 0, arr.length-1);
}
public void altSort(E[] arr) {
int N = arr.length;
altQuickSort(arr, 0, N-1);
private void randomShuffle(E[] arr){
int array_len = arr.length;
for(int i=0; i< array_len; i++){
int random_index = (int)(Math.random()*array_len);
exch(arr, i, random_index);
}
}
private void altQuickSort(E[] arr, int lo, int hi) {
if (lo >= hi) return;
int i = lo + 1;
int j = i;
while(j <= hi){
if(MeasurableHelper.less((Comparable<E>) arr[j], arr[lo], null, null)){
MeasurableHelper.exch(arr, i, j, null);
private void partition(E[] arr, int low, int high){
if(low >= high)
return;
int mid = sort(arr, low, high);
partition(arr, low, mid-1);
partition(arr, mid + 1, high);
}
private int sort(E[] arr, int low, int high){
int i = low+1;
int j = high;
while (true){
// Find the i index greater than 1st element
while (i<=high && !less((Comparable<E>) arr[low], arr[i]))
i++;
}
j++;
// Find the j index less than 1st element
while (less((Comparable<E>) arr[low], arr[j]) && j > low)
j--;
// Break if indexes are crossed
if(j < i)
break;
// Swap index values of i & j
if(less((Comparable<E>) arr[j], arr[i]))
exch(arr, i, j);
}
MeasurableHelper.exch(arr, i-1, lo,null);
altQuickSort(arr, lo, i-2);
altQuickSort(arr, i, hi);
// Swap 1st element to it's correct position
exch(arr, low, j);
return j;
}
private void quickSort(E[] arr, int lo, int hi, Comparator<E> cmp, SortingMetaData metaData) {
if (lo >= hi) return;
int i = lo;
int j = hi+1;
while(true){
while(MeasurableHelper.less( arr[++i], arr[lo], cmp, metaData)){
if(i == hi) break;
}
while(!MeasurableHelper.less(arr[--j], arr[lo], cmp, metaData)){
if (j == lo ) break;
}
if(j<=i) break;
MeasurableHelper.exch(arr, i , j, metaData);
}
MeasurableHelper.exch(arr, j, lo, metaData);
quickSort(arr, lo, j-1, cmp, metaData);
quickSort(arr, j+1, hi, cmp, metaData);
}
@Override
public void sort(E[] arr, Comparator<E> cmp) {
int N = arr.length;
quickSort(arr, 0, N - 1, cmp, null);
}
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
if(metaData != null){
metaData.startTime();
}
int N = arr.length;
quickSort(arr, 0, N - 1, cmp, metaData);
if (metaData != null)
metaData.endTime();
}
@Override
public String toString() {
return "Quick Sort";
}
}

View File

@ -1,58 +0,0 @@
package com.hithomelabs.princeton1.module7;
import com.hithomelabs.princeton1.module5.MeasurableHelper;
import com.hithomelabs.princeton1.module5.MeasurableSort;
import com.hithomelabs.princeton1.module5.SortingMetaData;
import java.util.Comparator;
public class ThreeWayQuick<E> implements MeasurableSort<E>, MeasurableHelper {
@Override
public void sort(E[] arr) {
coreSortingLogic(arr, null, null);
}
private void coreSortingLogic(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
int N = arr.length;
threeWaySort(arr, 0, N - 1, cmp, metaData);
}
private void threeWaySort(E[] arr, int lo, int hi, Comparator<E> cmp, SortingMetaData metaData) {
if (hi <= lo)
return;
int k = hi;
int i = lo + 1;
int j = lo;
while (true) {
if (MeasurableHelper.less(arr[i], arr[j], cmp, metaData)) MeasurableHelper.exch(arr, i++, j++, metaData);
else if (MeasurableHelper.equals(arr[i],arr[j], cmp, metaData)) i++;
else MeasurableHelper.exch(arr, i, k--, metaData);
if (k < i) break;
}
threeWaySort(arr, lo, j - 1, cmp, metaData);
threeWaySort(arr, k + 1, hi, cmp, metaData);
}
@Override
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
if(metaData != null){
metaData.startTime();
}
coreSortingLogic(arr, cmp, metaData);
if (metaData != null)
metaData.endTime();
}
@Override
public void sort(E[] arr, Comparator<E> cmp) {
coreSortingLogic(arr, cmp, null);
}
@Override
public String toString() {
return "Three Way Quick Sort";
}
}

View File

@ -33,8 +33,10 @@ class QuickTest {
Assertions.assertArrayEquals(sorted, arr);
}
// * * Optional test for alternate sort implmentation
/*
@Test
@DisplayName("testing Quick sort alternate implementation")
@DisplayName("testing Quick sort default implementation")
public void testAltSort(){
for(int i = 0; i < 100; i++)
@ -45,18 +47,8 @@ class QuickTest {
Apple[] sorted = apples.toArray(new Apple[apples.size()]);
Assertions.assertArrayEquals(sorted, arr);
}
*/
@Test
@DisplayName("testing Comparator sort")
public void testComparatorSort(){
for(int i = 0; i < 100; i++)
apples.add(new Apple(random.nextInt(1000)));
Apple[] arr = apples.toArray(new Apple[apples.size()]);
quick.sort(arr, Apple.COMPARE_BY_SIZE);
apples.sort(Apple.COMPARE_BY_SIZE);
Apple[] sorted = apples.toArray(new Apple[apples.size()]);
Assertions.assertArrayEquals(sorted, arr);
}
@AfterEach

View File

@ -1,54 +0,0 @@
package com.hithomelabs.princeton1.module7;
import com.hithomelabs.princeton1.common.Apple;
import org.junit.jupiter.api.*;
import java.util.ArrayList;
import java.util.Random;
import static org.junit.jupiter.api.Assertions.*;
class ThreeWayQuickTest {
private ThreeWayQuick<Apple> quick;
private ArrayList<Apple> apples;
private Random random;
@BeforeEach
void setUp() {
quick = new ThreeWayQuick<Apple>();
apples = new ArrayList<Apple>();
random = new Random();
}
@Test
@DisplayName("testing Quick sort default implementation")
public void testSort(){
for(int i = 0; i < 100; i++)
apples.add(new Apple(random.nextInt(1000)));
Apple[] arr = apples.toArray(new Apple[apples.size()]);
quick.sort(arr);
apples.sort(null);
Apple[] sorted = apples.toArray(new Apple[apples.size()]);
Assertions.assertArrayEquals(sorted, arr);
}
@Test
@DisplayName("testing Comparator sort")
public void testComparatorSort(){
for(int i = 0; i < 100; i++)
apples.add(new Apple(random.nextInt(1000)));
Apple[] arr = apples.toArray(new Apple[apples.size()]);
quick.sort(arr, Apple.COMPARE_BY_SIZE);
apples.sort(Apple.COMPARE_BY_SIZE);
Apple[] sorted = apples.toArray(new Apple[apples.size()]);
Assertions.assertArrayEquals(sorted, arr);
}
@AfterEach
void tearDown() {
quick = null;
apples = null;
random = null;
}
}

View File

@ -13,7 +13,6 @@ dependencies {
testImplementation platform('org.junit:junit-bom:5.10.0')
testImplementation 'org.junit.jupiter:junit-jupiter'
implementation project(':module5')
implementation project(':module4')
testImplementation project(':common')
}

View File

@ -5,40 +5,42 @@ package com.hithomelabs.princeton1.module8;
* * Heap does not have any instance variables, instance variables shall be housed by, the implementation using heaps, like priority queues and heap sort
*/
import com.hithomelabs.princeton1.module5.AbstractCustomSorts;
import com.hithomelabs.princeton1.module5.MeasurableHelper;
import com.hithomelabs.princeton1.module5.SortingMetaData;
import java.util.Comparator;
public class Heap implements MeasurableHelper {
public class Heap{
/*
* * Sink Node T with to it's appropriate place in a Heap of size N, if it's children exist and are greater
* * Implement sink API to sink a node if it's sub-heap is not heap-order
*/
public static <T> void sink(T[] arr, int root, int N, Comparator<T> cmp, SortingMetaData metaData){
// * Check if at least one child exists
while(2 * root <= N){
int j = 2 * root;
// * Check if the right child exists and is larger than the left child, if yes swap right and left child
if(j+1 <= N){
if (MeasurableHelper.less(arr[j], arr[j+1], cmp, metaData)) j++;
}
if (!MeasurableHelper.less(arr[root], arr[j], cmp, metaData)) break;
MeasurableHelper.exch(arr, root, j, metaData);
// * The root node has now sunken low, call sink recursively with new node to check if it sinks further
root = j;
public static <T> void sink(T[] arr, int root, int N){
while (N >= root*2) {
int greater_index = root * 2;
if (N >= root * 2 + 1 && less(arr[root * 2], arr[root * 2 + 1]))
greater_index += 1;
if(!less(arr[root], arr[greater_index]))
break;
exch(arr, root, greater_index);
root = greater_index;
}
}
// * * Swim if element is not root, and parent is lesser than node
public static <T> void swim(T[] arr, int node, int N, Comparator<T> cmp, SortingMetaData metaData){
while(node > 1){
if(! MeasurableHelper.less(arr[node/2],arr[node], cmp, metaData)) break;
MeasurableHelper.exch(arr, node, node/2, metaData);
public static <T> void swim(T[] arr, int node){
while(node > 1 && less(arr[node/2], arr[node])){
exch(arr, node, node/2);
node = node/2;
}
}
private static <T> void exch(T[] arr, int i, int j){
T temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
private static <T> boolean less(T v, T w){
if(((Comparable<T>)v).compareTo(w) < 1 ) return true;
else return false;
}
}

View File

@ -1,78 +1,33 @@
package com.hithomelabs.princeton1.module8;
import com.hithomelabs.princeton1.module5.MeasurableHelper;
import com.hithomelabs.princeton1.module5.MeasurableSort;
import com.hithomelabs.princeton1.module5.SortingMetaData;
import com.hithomelabs.princeton1.module5.AbstractCustomSorts;
import java.util.Comparator;
public class HeapSort<E> implements MeasurableSort<E>, MeasurableHelper {
@Override
public void sort(E[] arr, Comparator<E> cmp, SortingMetaData metaData) {
int N = arr.length;
E[] heapArr = (E[]) new Object[N+1];
// * * to simplify we copy original array from
System.arraycopy(arr, 0, heapArr, 1, N);
// * * An array of size N holds a heap of size N-1
if (metaData != null)
metaData.startTime();
coreSortingLogic(heapArr, N, cmp, metaData);
if (metaData != null)
metaData.endTime();
System.arraycopy(heapArr, 1, arr, 0, N);
}
public static <T> void heapify(T[] arr){
int N = arr.length;
T[] heapArr = (T[]) new Object[N+1];
// * * to simplify we copy original array from
System.arraycopy(arr, 0, heapArr, 1, N);
// * * An array of size N holds a heap of size N-1
for (int i = N/2; i >= 1; i--)
Heap.sink(heapArr, i, N, null, null);
System.arraycopy(heapArr, 1, arr, 0, N);
}
private void coreSortingLogic(E[] arr, int N, Comparator<E> cmp, SortingMetaData metaData) {
// * * Converting array to max-heap an array in place
for (int i = N/2; i >= 1; i--)
Heap.sink(arr, i, N, cmp, metaData);
// * * After converting to max-heap, in every iteration remove the max element of the heap
while(N > 1){
MeasurableHelper.exch(arr, 1, N--, metaData);
Heap.sink(arr, 1, N, cmp, metaData);
}
}
@Override
public void sort(E[] arr, Comparator<E> cmp) {
int N = arr.length;
E[] heapArr = (E[]) new Object[N+1];
// * * to simplify we copy original array from
System.arraycopy(arr, 0, heapArr, 1, N);
// * * An array of size N holds a heap of size N-1
coreSortingLogic(heapArr, N, cmp, null);
System.arraycopy(heapArr, 1, arr, 0, N);
}
public class HeapSort<E> extends AbstractCustomSorts<E> {
@Override
public void sort(E[] arr) {
int N = arr.length;
E[] heapArr = (E[]) new Object[N+1];
// * * to simplify we copy original array from
System.arraycopy(arr, 0, heapArr, 1, N);
E[] heapArr = (E[]) new Object[N+1];
// * * to simplify we copy original array and write it to the new array starting index 1
System.arraycopy(arr, 0, heapArr, 1, N);
// * * An array of size N holds a heap of size N-1
coreSortingLogic(heapArr, N,null, null);
coreSortingLogic(heapArr, N);
// * * Re-copying the sorted array to the original
System.arraycopy(heapArr, 1, arr, 0, N);
}
@Override
public String toString() {
return "Heap Sort";
/*
* * Implement the core sorting logic
* * P.S the provision of making the index 0 null for ease of use has already been done above
*/
private void coreSortingLogic(E[] arr, int N) {
for(int n=2; n <= N; n++){
Heap.swim(arr, n);
}
while (N > 1){
exch(arr, 1, N--);
Heap.sink(arr, 1, N);
}
}
}

View File

@ -1,66 +0,0 @@
package com.hithomelabs.princeton1.module8;
import com.hithomelabs.princeton1.module4.Queue;
import com.hithomelabs.princeton1.module5.ComparableHelper;
import java.util.Iterator;
public class PriorityQueue<E> extends Queue<E> implements ComparableHelper {
private int size;
private E[] arr;
private static final int CAPACITY = 100;
private int capacity;
public PriorityQueue(){
this(CAPACITY);
}
public PriorityQueue(int capacity){
arr = (E[]) new Object[capacity+1];
this.capacity = capacity;
}
@Override
public boolean isEmpty() {
return size == 0;
}
@Override
public E dequeue() {
if(isEmpty())
return null;
E value = arr[1];
ComparableHelper.exch(arr, 1, size);
arr[size--] = null;
Heap.sink(arr, 1, size, null, null);
return value;
}
@Override
public void enqueue(E element) {
arr[++size] = element;
Heap.swim(arr, size, size, null, null);
}
@Override
public int size() {
return size;
}
@Override
public Iterator iterator() {
return new Iterator() {
int index = 1;
@Override
public boolean hasNext() {
return index <= size;
}
@Override
public Object next() {
return arr[index++];
}
};
}
}

View File

@ -33,18 +33,6 @@ class HeapSortTest {
Assertions.assertArrayEquals(sorted, arr);
}
@Test
@DisplayName("Sort a heap of a 100 random sized with Comparator")
public void testComparatorSort(){
for(int i = 0; i < 100; i++)
apples.add(new Apple(random.nextInt(1000)));
Apple[] arr = apples.toArray(new Apple[apples.size()]);
heap.sort(arr, Apple.COMPARE_BY_SIZE);
apples.sort(Apple.COMPARE_BY_SIZE);
Apple[] sorted = apples.toArray(new Apple[apples.size()]);
Assertions.assertArrayEquals(sorted, arr);
}
@Test
@DisplayName("Sort 100 apples in descending order")
public void testSortBorder(){