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I have an array of objects in Java, and I am trying to pull one element to the top and shift the rest down by one.
Assume I have an array of size 10, and I am trying to pull the fifth element. The fifth element goes into position 0 and all elements from 0 to 5 will be shifted down by one.
This algorithm does not properly shift the elements:
Object temp = pool[position];
for (int i = 0; i < position; i++) {
array[i+1] = array[i];
}
array[0] = temp;
How do I do it correctly?
Logically it does not work and you should reverse your loop:
for (int i = position-1; i >= 0; i--) {
array[i+1] = array[i];
}
Alternatively you can use
System.arraycopy(array, 0, array, 1, position);
Assuming your array is {10,20,30,40,50,60,70,80,90,100}
What your loop does is:
Iteration 1: array[1] = array[0]; {10,10,30,40,50,60,70,80,90,100}
Iteration 2: array[2] = array[1]; {10,10,10,40,50,60,70,80,90,100}
What you should be doing is
Object temp = pool[position];
for (int i = (position - 1); i >= 0; i--) {
array[i+1] = array[i];
}
array[0] = temp;
You can just use Collections.rotate(List<?> list, int distance)
Use Arrays.asList(array) to convert to List
more info at: https://docs.oracle.com/javase/7/docs/api/java/util/Collections.html#rotate(java.util.List,%20int)
Instead of shifting by one position you can make this function more general using module like this.
int[] original = { 1, 2, 3, 4, 5, 6 };
int[] reordered = new int[original.length];
int shift = 1;
for(int i=0; i<original.length;i++)
reordered[i] = original[(shift+i)%original.length];
Just for completeness: Stream solution since Java 8.
final String[] shiftedArray = Arrays.stream(array)
.skip(1)
.toArray(String[]::new);
I think I sticked with the System.arraycopy() in your situtation. But the best long-term solution might be to convert everything to Immutable Collections (Guava, Vavr), as long as those collections are short-lived.
Manipulating arrays in this way is error prone, as you've discovered. A better option may be to use a LinkedList in your situation. With a linked list, and all Java collections, array management is handled internally so you don't have to worry about moving elements around. With a LinkedList you just call remove and then addLast and the you're done.
Try this:
Object temp = pool[position];
for (int i = position-1; i >= 0; i--) {
array[i+1] = array[i];
}
array[0] = temp;
Look here to see it working: http://www.ideone.com/5JfAg
Using array Copy
Generic solution for k times shift k=1 or k=3 etc
public void rotate(int[] nums, int k) {
// Step 1
// k > array length then we dont need to shift k times because when we shift
// array length times then the array will go back to intial position.
// so we can just do only k%array length times.
// change k = k% array.length;
if (k > nums.length) {
k = k % nums.length;
}
// Step 2;
// initialize temporary array with same length of input array.
// copy items from input array starting from array length -k as source till
// array end and place in new array starting from index 0;
int[] tempArray = new int[nums.length];
System.arraycopy(nums, nums.length - k, tempArray, 0, k);
// step3:
// loop and copy all the remaining elements till array length -k index and copy
// in result array starting from position k
for (int i = 0; i < nums.length - k; i++) {
tempArray[k + i] = nums[i];
}
// step 4 copy temp array to input array since our goal is to change input
// array.
System.arraycopy(tempArray, 0, nums, 0, tempArray.length);
}
code
public void rotate(int[] nums, int k) {
if (k > nums.length) {
k = k % nums.length;
}
int[] tempArray = new int[nums.length];
System.arraycopy(nums, nums.length - k, tempArray, 0, k);
for (int i = 0; i < nums.length - k; i++) {
tempArray[k + i] = nums[i];
}
System.arraycopy(tempArray, 0, nums, 0, tempArray.length);
}
In the first iteration of your loop, you overwrite the value in array[1]. You should go through the indicies in the reverse order.
static void pushZerosToEnd(int arr[])
{ int n = arr.length;
int count = 0; // Count of non-zero elements
// Traverse the array. If element encountered is non-zero, then
// replace the element at index 'count' with this element
for (int i = 0; i < n; i++){
if (arr[i] != 0)`enter code here`
// arr[count++] = arr[i]; // here count is incremented
swapNumbers(arr,count++,i);
}
for (int j = 0; j < n; j++){
System.out.print(arr[j]+",");
}
}
public static void swapNumbers(int [] arr, int pos1, int pos2){
int temp = arr[pos2];
arr[pos2] = arr[pos1];
arr[pos1] = temp;
}
Another variation if you have the array data as a Java-List
listOfStuff.add(
0,
listOfStuff.remove(listOfStuff.size() - 1) );
Just sharing another option I ran across for this, but I think the answer from #Murat Mustafin is the way to go with a list
public class Test1 {
public static void main(String[] args) {
int[] x = { 1, 2, 3, 4, 5, 6 };
Test1 test = new Test1();
x = test.shiftArray(x, 2);
for (int i = 0; i < x.length; i++) {
System.out.print(x[i] + " ");
}
}
public int[] pushFirstElementToLast(int[] x, int position) {
int temp = x[0];
for (int i = 0; i < x.length - 1; i++) {
x[i] = x[i + 1];
}
x[x.length - 1] = temp;
return x;
}
public int[] shiftArray(int[] x, int position) {
for (int i = position - 1; i >= 0; i--) {
x = pushFirstElementToLast(x, position);
}
return x;
}
}
A left rotation operation on an array of size n shifts each of the array's elements unit to the left, check this out!!!!!!
public class Solution {
private static final Scanner scanner = new Scanner(System.in);
public static void main(String[] args) {
String[] nd = scanner.nextLine().split(" ");
int n = Integer.parseInt(nd[0]); //no. of elements in the array
int d = Integer.parseInt(nd[1]); //number of left rotations
int[] a = new int[n];
for(int i=0;i<n;i++){
a[i]=scanner.nextInt();
}
Solution s= new Solution();
//number of left rotations
for(int j=0;j<d;j++){
s.rotate(a,n);
}
//print the shifted array
for(int i:a){System.out.print(i+" ");}
}
//shift each elements to the left by one
public static void rotate(int a[],int n){
int temp=a[0];
for(int i=0;i<n;i++){
if(i<n-1){a[i]=a[i+1];}
else{a[i]=temp;}
}}
}
You can use the Below codes for shifting not rotating:
int []arr = {1,2,3,4,5,6,7,8,9,10,11,12};
int n = arr.length;
int d = 3;
Programm for shifting array of size n by d elements towards left:
Input : {1,2,3,4,5,6,7,8,9,10,11,12}
Output: {4,5,6,7,8,9,10,11,12,10,11,12}
public void shiftLeft(int []arr,int d,int n) {
for(int i=0;i<n-d;i++) {
arr[i] = arr[i+d];
}
}
Programm for shifting array of size n by d elements towards right:
Input : {1,2,3,4,5,6,7,8,9,10,11,12}
Output: {1,2,3,1,2,3,4,5,6,7,8,9}
public void shiftRight(int []arr,int d,int n) {
for(int i=n-1;i>=d;i--) {
arr[i] = arr[i-d];
}
}
import java.util.Scanner;
public class Shift {
public static void main(String[] args) {
Scanner input = new Scanner (System.in);
int array[] = new int [5];
int array1[] = new int [5];
int i, temp;
for (i=0; i<5; i++) {
System.out.printf("Enter array[%d]: \n", i);
array[i] = input.nextInt(); //Taking input in the array
}
System.out.println("\nEntered datas are: \n");
for (i=0; i<5; i++) {
System.out.printf("array[%d] = %d\n", i, array[i]); //This will show the data you entered (Not the shifting one)
}
temp = array[4]; //We declared the variable "temp" and put the last number of the array there...
System.out.println("\nAfter Shifting: \n");
for(i=3; i>=0; i--) {
array1[i+1] = array[i]; //New array is "array1" & Old array is "array". When array[4] then the value of array[3] will be assigned in it and this goes on..
array1[0] = temp; //Finally the value of last array which was assigned in temp goes to the first of the new array
}
for (i=0; i<5; i++) {
System.out.printf("array[%d] = %d\n", i, array1[i]);
}
input.close();
}
}
Write a Java program to create an array of 20 integers, and then implement the process of shifting the array to right for two elements.
public class NewClass3 {
public static void main (String args[]){
int a [] = {1,2,};
int temp ;
for(int i = 0; i<a.length -1; i++){
temp = a[i];
a[i] = a[i+1];
a[i+1] = temp;
}
for(int p : a)
System.out.print(p);
}
}
I want to modify the 2 threaded merge sort to 4 threaded merge sort. First I want to divide the array into 4 equal subarrays(the last subarray might be larger) and assign them into separate threads to sort. Finally, merge 1 and 2 subarrays and 3 and 4 subarrays, then merge already sorted-merged 1 and 2 subarrays with sorted-merged 3 and 4 subarrays.
here is what i have as now:
How can I implement that? Thanks ver much!!!
package four_threaded;
import java.util.Random;
public class four_threaded_merge_sort {
public static void finalMerge(int[] a, int[] b) {
int[] result = new int[a.length + b.length];
int i=0;
int j=0;
int r=0;
while (i < a.length && j < b.length) {
if (a[i] <= b[j]) {
result[r]=a[i];
i++;
r++;
}
else {
result[r]=b[j];
j++;
r++;
}
if (i==a.length) {
while (j<b.length) {
result[r]=b[j];
r++;
j++;
}
}
if (j==b.length) {
while (i<a.length) {
result[r]=a[i];
r++;
i++;
}
}
}
}
public static void main(String[] args) throws InterruptedException {
Random rand = new Random();
int[] original = new int[10];
for (int i=0; i<original.length; i++) {
original[i] = rand.nextInt(100);
}
long startTime = System.currentTimeMillis();
int s = original.length / 4 ;
int r = original.length % 4;
//first subarray
int[] subArr1 = new int[s];
System.arraycopy(original, 0, subArr1, 0, s);
//second subarray
int[] subArr2 = new int[s];
System.arraycopy(original, s, subArr2, 0, s);
//third subarray
int[] subArr3 = new int[s];
System.arraycopy(original, 2*s, subArr3, 0, s);
//fourth subarray
int[] subArr4 = new int[s+r];
System.arraycopy(original, 3*s, subArr4, 0, s+r);
Worker runner1 = new Worker(subArr1);
Worker runner2 = new Worker(subArr2);
Worker runner3 = new Worker(subArr3);
Worker runner4 = new Worker(subArr4);
runner1.start();
runner2.start();
runner3.start();
runner4.start();
runner1.join();
runner2.join();
runner3.join();
runner4.join();
finalMerge(runner1.getInternal(), runner2.getInternal());
long stopTime = System.currentTimeMillis();
long elapsedTime = stopTime - startTime;
System.out.println("4-thread MergeSort takes: " + (float)elapsedTime/1000 + " seconds");
}
}
class Worker extends Thread {
private int[] internal;
public int[] getInternal() {
return internal;
}
public void mergeSort(int[] array) {
if (array.length > 1) {
int[] left = leftHalf(array);
int[] right = rightHalf(array);
mergeSort(left);
mergeSort(right);
merge(array, left, right);
}
}
public int[] leftHalf(int[] array) {
int size1 = array.length / 2;
int[] left = new int[size1];
for (int i = 0; i < size1; i++) {
left[i] = array[i];
}
return left;
}
public int[] rightHalf(int[] array) {
int size1 = array.length / 2;
int size2 = array.length - size1;
int[] right = new int[size2];
for (int i = 0; i < size2; i++) {
right[i] = array[i + size1];
}
return right;
}
public void merge(int[] result, int[] left, int[] right) {
int i1 = 0;
int i2 = 0;
for (int i = 0; i < result.length; i++) {
if (i2 >= right.length || (i1 < left.length && left[i1] <= right[i2])) {
result[i] = left[i1];
i1++;
} else {
result[i] = right[i2];
i2++;
}
}
}
Worker(int[] arr) {
internal = arr;
}
public void run() {
mergeSort(internal);
}
}
After the 4 threads complete, you could use 2 threads to merge the 4 sub-arrays into 2 sub-arrays, although that probably won't help much since the merging of large arrays will be memory bandwidth limited. You could also use the main thread to do a 4 way merge. On processor with 16 registers, like a PC in 64 bit mode, there are enough registers to deal with 4 sub-arrays via pointers or indices.
If speed is the goal here, allocating a working array one time and using a bottom up merge sort would be faster than top down. To avoid copying, each merge sort alternates merging data between the original and the working array. Each merge sort can determine the number of passes needed, and if it's an odd number, then swap in place for the first pass instead of merging to the other buffer.
If the final pass will be a 4 way merge, then each merge sort thread should end up with the sorted data in the working array. In this case, if it's an even number of passes, then swap in place for the first pass. You may want to do an in place swap for more than 2 elements at a time. Using something like a sorting network, 4 elements can be swapped with 6 if / swap statements. I'm not sure about using other in place sort methods for small sets of elements helps.
I was asked to write my own implementation to remove duplicated values in an array. Here is what I have created. But after tests with 1,000,000 elements it took very long time to finish. Is there something that I can do to improve my algorithm or any bugs to remove ?
I need to write my own implementation - not to use Set, HashSet etc. Or any other tools such as iterators. Simply an array to remove duplicates.
public static int[] removeDuplicates(int[] arr) {
int end = arr.length;
for (int i = 0; i < end; i++) {
for (int j = i + 1; j < end; j++) {
if (arr[i] == arr[j]) {
int shiftLeft = j;
for (int k = j+1; k < end; k++, shiftLeft++) {
arr[shiftLeft] = arr[k];
}
end--;
j--;
}
}
}
int[] whitelist = new int[end];
for(int i = 0; i < end; i++){
whitelist[i] = arr[i];
}
return whitelist;
}
you can take the help of Set collection
int end = arr.length;
Set<Integer> set = new HashSet<Integer>();
for(int i = 0; i < end; i++){
set.add(arr[i]);
}
now if you will iterate through this set, it will contain only unique values. Iterating code is like this :
Iterator it = set.iterator();
while(it.hasNext()) {
System.out.println(it.next());
}
If you are allowed to use Java 8 streams:
Arrays.stream(arr).distinct().toArray();
Note: I am assuming the array is sorted.
Code:
int[] input = new int[]{1, 1, 3, 7, 7, 8, 9, 9, 9, 10};
int current = input[0];
boolean found = false;
for (int i = 0; i < input.length; i++) {
if (current == input[i] && !found) {
found = true;
} else if (current != input[i]) {
System.out.print(" " + current);
current = input[i];
found = false;
}
}
System.out.print(" " + current);
output:
1 3 7 8 9 10
Slight modification to the original code itself, by removing the innermost for loop.
public static int[] removeDuplicates(int[] arr){
int end = arr.length;
for (int i = 0; i < end; i++) {
for (int j = i + 1; j < end; j++) {
if (arr[i] == arr[j]) {
/*int shiftLeft = j;
for (int k = j+1; k < end; k++, shiftLeft++) {
arr[shiftLeft] = arr[k];
}*/
arr[j] = arr[end-1];
end--;
j--;
}
}
}
int[] whitelist = new int[end];
/*for(int i = 0; i < end; i++){
whitelist[i] = arr[i];
}*/
System.arraycopy(arr, 0, whitelist, 0, end);
return whitelist;
}
There exists many solution of this problem.
The sort approach
You sort your array and resolve only unique items
The set approach
You declare a HashSet where you put all item then you have only unique ones.
You create a boolean array that represent the items all ready returned, (this depend on your data in the array).
If you deal with large amount of data i would pick the 1. solution. As you do not allocate additional memory and sorting is quite fast. For small set of data the complexity would be n^2 but for large i will be n log n.
Since you can assume the range is between 0-1000 there is a very simple and efficient solution
//Throws an exception if values are not in the range of 0-1000
public static int[] removeDuplicates(int[] arr) {
boolean[] set = new boolean[1001]; //values must default to false
int totalItems = 0;
for (int i = 0; i < arr.length; ++i) {
if (!set[arr[i]]) {
set[arr[i]] = true;
totalItems++;
}
}
int[] ret = new int[totalItems];
int c = 0;
for (int i = 0; i < set.length; ++i) {
if (set[i]) {
ret[c++] = i;
}
}
return ret;
}
This runs in linear time O(n). Caveat: the returned array is sorted so if that is illegal then this answer is invalid.
class Demo
{
public static void main(String[] args)
{
int a[]={3,2,1,4,2,1};
System.out.print("Before Sorting:");
for (int i=0;i<a.length; i++ )
{
System.out.print(a[i]+"\t");
}
System.out.print ("\nAfter Sorting:");
//sorting the elements
for(int i=0;i<a.length;i++)
{
for(int j=i;j<a.length;j++)
{
if(a[i]>a[j])
{
int temp=a[i];
a[i]=a[j];
a[j]=temp;
}
}
}
//After sorting
for(int i=0;i<a.length;i++)
{
System.out.print(a[i]+"\t");
}
System.out.print("\nAfter removing duplicates:");
int b=0;
a[b]=a[0];
for(int i=0;i<a.length;i++)
{
if (a[b]!=a[i])
{
b++;
a[b]=a[i];
}
}
for (int i=0;i<=b;i++ )
{
System.out.print(a[i]+"\t");
}
}
}
OUTPUT:Before Sortng:3 2 1 4 2 1 After Sorting:1 1 2 2 3 4
Removing Duplicates:1 2 3 4
Since this question is still getting a lot of attention, I decided to answer it by copying this answer from Code Review.SE:
You're following the same philosophy as the bubble sort, which is
very, very, very slow. Have you tried this?:
Sort your unordered array with quicksort. Quicksort is much faster
than bubble sort (I know, you are not sorting, but the algorithm you
follow is almost the same as bubble sort to traverse the array).
Then start removing duplicates (repeated values will be next to each
other). In a for loop you could have two indices: source and
destination. (On each loop you copy source to destination unless they
are the same, and increment both by 1). Every time you find a
duplicate you increment source (and don't perform the copy).
#morgano
import java.util.Arrays;
public class Practice {
public static void main(String[] args) {
int a[] = { 1, 3, 3, 4, 2, 1, 5, 6, 7, 7, 8, 10 };
Arrays.sort(a);
int j = 0;
for (int i = 0; i < a.length - 1; i++) {
if (a[i] != a[i + 1]) {
a[j] = a[i];
j++;
}
}
a[j] = a[a.length - 1];
for (int i = 0; i <= j; i++) {
System.out.println(a[i]);
}
}
}
**This is the most simplest way**
What if you create two boolean arrays: 1 for negative values and 1 for positive values and init it all on false.
Then you cycle thorugh the input array and lookup in the arrays if you've encoutered the value already.
If not, you add it to the output array and mark it as already used.
package com.pari.practice;
import java.util.HashSet;
import java.util.Iterator;
import com.pari.sort.Sort;
public class RemoveDuplicates {
/**
* brute force- o(N square)
*
* #param input
* #return
*/
public static int[] removeDups(int[] input){
boolean[] isSame = new boolean[input.length];
int sameNums = 0;
for( int i = 0; i < input.length; i++ ){
for( int j = i+1; j < input.length; j++){
if( input[j] == input[i] ){ //compare same
isSame[j] = true;
sameNums++;
}
}
}
//compact the array into the result.
int[] result = new int[input.length-sameNums];
int count = 0;
for( int i = 0; i < input.length; i++ ){
if( isSame[i] == true) {
continue;
}
else{
result[count] = input[i];
count++;
}
}
return result;
}
/**
* set - o(N)
* does not guarantee order of elements returned - set property
*
* #param input
* #return
*/
public static int[] removeDups1(int[] input){
HashSet myset = new HashSet();
for( int i = 0; i < input.length; i++ ){
myset.add(input[i]);
}
//compact the array into the result.
int[] result = new int[myset.size()];
Iterator setitr = myset.iterator();
int count = 0;
while( setitr.hasNext() ){
result[count] = (int) setitr.next();
count++;
}
return result;
}
/**
* quicksort - o(Nlogn)
*
* #param input
* #return
*/
public static int[] removeDups2(int[] input){
Sort st = new Sort();
st.quickSort(input, 0, input.length-1); //input is sorted
//compact the array into the result.
int[] intermediateResult = new int[input.length];
int count = 0;
int prev = Integer.MIN_VALUE;
for( int i = 0; i < input.length; i++ ){
if( input[i] != prev ){
intermediateResult[count] = input[i];
count++;
}
prev = input[i];
}
int[] result = new int[count];
System.arraycopy(intermediateResult, 0, result, 0, count);
return result;
}
public static void printArray(int[] input){
for( int i = 0; i < input.length; i++ ){
System.out.print(input[i] + " ");
}
}
public static void main(String[] args){
int[] input = {5,6,8,0,1,2,5,9,11,0};
RemoveDuplicates.printArray(RemoveDuplicates.removeDups(input));
System.out.println();
RemoveDuplicates.printArray(RemoveDuplicates.removeDups1(input));
System.out.println();
RemoveDuplicates.printArray(RemoveDuplicates.removeDups2(input));
}
}
Output:
5 6 8 0 1 2 9 11
0 1 2 5 6 8 9 11
0 1 2 5 6 8 9 11
I have just written the above code for trying out. thanks.
public static int[] removeDuplicates(int[] arr){
HashSet<Integer> set = new HashSet<>();
final int len = arr.length;
//changed end to len
for(int i = 0; i < len; i++){
set.add(arr[i]);
}
int[] whitelist = new int[set.size()];
int i = 0;
for (Iterator<Integer> it = set.iterator(); it.hasNext();) {
whitelist[i++] = it.next();
}
return whitelist;
}
Runs in O(N) time instead of your O(N^3) time
Not a big fun of updating user input, however considering your constraints...
public int[] removeDup(int[] nums) {
Arrays.sort(nums);
int x = 0;
for (int i = 0; i < nums.length; i++) {
if (i == 0 || nums[i] != nums[i - 1]) {
nums[x++] = nums[i];
}
}
return Arrays.copyOf(nums, x);
}
Array sort can be easily replaced with any nlog(n) algorithm.
This is simple way to sort the elements in the array
public class DublicatesRemove {
public static void main(String args[]) throws Exception {
BufferedReader br = new BufferedReader(new InputStreamReader(System.in));
System.out.println("enter size of the array");
int l = Integer.parseInt(br.readLine());
int[] a = new int[l];
// insert elements in the array logic
for (int i = 0; i < l; i++)
{
System.out.println("enter a element");
int el = Integer.parseInt(br.readLine());
a[i] = el;
}
// sorting elements in the array logic
for (int i = 0; i < l; i++)
{
for (int j = 0; j < l - 1; j++)
{
if (a[j] > a[j + 1])
{
int temp = a[j];
a[j] = a[j + 1];
a[j + 1] = temp;
}
}
}
// remove duplicate elements logic
int b = 0;
a[b] = a[0];
for (int i = 1; i < l; i++)
{
if (a[b] != a[i])
{
b++;
a[b]=a[i];
}
}
for(int i=0;i<=b;i++)
{
System.out.println(a[i]);
}
}
}
Okay, so you cannot use Set or other collections. One solution I don't see here so far is one based on the use of a Bloom filter, which essentially is an array of bits, so perhaps that passes your requirements.
The Bloom filter is a lovely and very handy technique, fast and space-efficient, that can be used to do a quick check of the existence of an element in a set without storing the set itself or the elements. It has a (typically small) false positive rate, but no false negative rate. In other words, for your question, if a Bloom filter tells you that an element hasn't been seen so far, you can be sure it hasn't. But if it says that an element has been seen, you actually need to check. This still saves a lot of time if there aren't too many duplicates in your list (for those, there is no looping to do, except in the small probability case of a false positive --you typically chose this rate based on how much space you are willing to give to the Bloom filter (rule of thumb: less than 10 bits per unique element for a false positive rate of 1%).
There are many implementations of Bloom filters, see e.g. here or here, so I won't repeat that in this answer. Let us just assume the api described in that last reference, in particular, the description of put(E e):
true if the Bloom filter's bits changed as a result of this operation. If the bits changed, this is definitely the first time object has been added to the filter. If the bits haven't changed, this might be the first time object has been added to the filter. (...)
An implementation using such a Bloom filter would then be:
public static int[] removeDuplicates(int[] arr) {
ArrayList<Integer> out = new ArrayList<>();
int n = arr.length;
BloomFilter<Integer> bf = new BloomFilter<>(...); // decide how many bits and how many hash functions to use (compromise between space and false positive rate)
for (int e : arr) {
boolean might_contain = !bf.put(e);
boolean found = false;
if (might_contain) {
// check if false positive
for (int u : out) {
if (u == e) {
found = true;
break;
}
}
}
if (!found) {
out.add(e);
}
}
return out.stream().mapToInt(i -> i).toArray();
}
Obviously, if you can alter the incoming array in place, then there is no need for an ArrayList: at the end, when you know the actual number of unique elements, just arraycopy() those.
For a sorted Array, just check the next index:
//sorted data!
public static int[] distinct(int[] arr) {
int[] temp = new int[arr.length];
int count = 0;
for (int i = 0; i < arr.length; i++) {
int current = arr[i];
if(count > 0 )
if(temp[count - 1] == current)
continue;
temp[count] = current;
count++;
}
int[] whitelist = new int[count];
System.arraycopy(temp, 0, whitelist, 0, count);
return whitelist;
}
You need to sort your array then then loop and remove duplicates. As you cannot use other tools you need to write be code yourself.
You can easily find examples of quicksort in Java on the internet (on which this example is based).
public static void main(String[] args) throws Exception {
final int[] original = new int[]{1, 1, 2, 8, 9, 8, 4, 7, 4, 9, 1};
System.out.println(Arrays.toString(original));
quicksort(original);
System.out.println(Arrays.toString(original));
final int[] unqiue = new int[original.length];
int prev = original[0];
unqiue[0] = prev;
int count = 1;
for (int i = 1; i < original.length; ++i) {
if (original[i] != prev) {
unqiue[count++] = original[i];
}
prev = original[i];
}
System.out.println(Arrays.toString(unqiue));
final int[] compressed = new int[count];
System.arraycopy(unqiue, 0, compressed, 0, count);
System.out.println(Arrays.toString(compressed));
}
private static void quicksort(final int[] values) {
if (values.length == 0) {
return;
}
quicksort(values, 0, values.length - 1);
}
private static void quicksort(final int[] values, final int low, final int high) {
int i = low, j = high;
int pivot = values[low + (high - low) / 2];
while (i <= j) {
while (values[i] < pivot) {
i++;
}
while (values[j] > pivot) {
j--;
}
if (i <= j) {
swap(values, i, j);
i++;
j--;
}
}
if (low < j) {
quicksort(values, low, j);
}
if (i < high) {
quicksort(values, i, high);
}
}
private static void swap(final int[] values, final int i, final int j) {
final int temp = values[i];
values[i] = values[j];
values[j] = temp;
}
So the process runs in 3 steps.
Sort the array - O(nlgn)
Remove duplicates - O(n)
Compact the array - O(n)
So this improves significantly on your O(n^3) approach.
Output:
[1, 1, 2, 8, 9, 8, 4, 7, 4, 9, 1]
[1, 1, 1, 2, 4, 4, 7, 8, 8, 9, 9]
[1, 2, 4, 7, 8, 9, 0, 0, 0, 0, 0]
[1, 2, 4, 7, 8, 9]
EDIT
OP states values inside array doesn't matter really. But I can assume that range is between 0-1000. This is a classic case where an O(n) sort can be used.
We create an array of size range +1, in this case 1001. We then loop over the data and increment the values on each index corresponding to the datapoint.
We can then compact the resulting array, dropping values the have not been incremented. This makes the values unique as we ignore the count.
public static void main(String[] args) throws Exception {
final int[] original = new int[]{1, 1, 2, 8, 9, 8, 4, 7, 4, 9, 1, 1000, 1000};
System.out.println(Arrays.toString(original));
final int[] buckets = new int[1001];
for (final int i : original) {
buckets[i]++;
}
final int[] unique = new int[original.length];
int count = 0;
for (int i = 0; i < buckets.length; ++i) {
if (buckets[i] > 0) {
unique[count++] = i;
}
}
final int[] compressed = new int[count];
System.arraycopy(unique, 0, compressed, 0, count);
System.out.println(Arrays.toString(compressed));
}
Output:
[1, 1, 2, 8, 9, 8, 4, 7, 4, 9, 1, 1000, 1000]
[1, 2, 4, 7, 8, 9, 1000]
public static void main(String args[]) {
int[] intarray = {1,2,3,4,5,1,2,3,4,5,1,2,3,4,5};
Set<Integer> set = new HashSet<Integer>();
for(int i : intarray) {
set.add(i);
}
Iterator<Integer> setitr = set.iterator();
for(int pos=0; pos < intarray.length; pos ++) {
if(pos < set.size()) {
intarray[pos] =setitr.next();
} else {
intarray[pos]= 0;
}
}
for(int i: intarray)
System.out.println(i);
}
I know this is kinda dead but I just wrote this for my own use. It's more or less the same as adding to a hashset and then pulling all the elements out of it. It should run in O(nlogn) worst case.
public static int[] removeDuplicates(int[] numbers) {
Entry[] entries = new Entry[numbers.length];
int size = 0;
for (int i = 0 ; i < numbers.length ; i++) {
int nextVal = numbers[i];
int index = nextVal % entries.length;
Entry e = entries[index];
if (e == null) {
entries[index] = new Entry(nextVal);
size++;
} else {
if(e.insert(nextVal)) {
size++;
}
}
}
int[] result = new int[size];
int index = 0;
for (int i = 0 ; i < entries.length ; i++) {
Entry current = entries[i];
while (current != null) {
result[i++] = current.value;
current = current.next;
}
}
return result;
}
public static class Entry {
int value;
Entry next;
Entry(int value) {
this.value = value;
}
public boolean insert(int newVal) {
Entry current = this;
Entry prev = null;
while (current != null) {
if (current.value == newVal) {
return false;
} else if(current.next != null) {
prev = current;
current = next;
}
}
prev.next = new Entry(value);
return true;
}
}
int tempvar=0; //Variable for the final array without any duplicates
int whilecount=0; //variable for while loop
while(whilecount<(nsprtable*2)-1) //nsprtable can be any number
{
//to check whether the next value is idential in case of sorted array
if(temparray[whilecount]!=temparray[whilecount+1])
{
finalarray[tempvar]=temparray[whilecount];
tempvar++;
whilecount=whilecount+1;
}
else if (temparray[whilecount]==temparray[whilecount+1])
{
finalarray[tempvar]=temparray[whilecount];
tempvar++;
whilecount=whilecount+2;
}
}
Hope this helps or solves the purpose.
package javaa;
public class UniqueElementinAnArray
{
public static void main(String[] args)
{
int[] a = {10,10,10,10,10,100};
int[] output = new int[a.length];
int count = 0;
int num = 0;
//Iterate over an array
for(int i=0; i<a.length; i++)
{
num=a[i];
boolean flag = check(output,num);
if(flag==false)
{
output[count]=num;
++count;
}
}
//print the all the elements from an array except zero's (0)
for (int i : output)
{
if(i!=0 )
System.out.print(i+" ");
}
}
/***
* If a next number from an array is already exists in unique array then return true else false
* #param arr Unique number array. Initially this array is an empty.
* #param num Number to be search in unique array. Whether it is duplicate or unique.
* #return true: If a number is already exists in an array else false
*/
public static boolean check(int[] arr, int num)
{
boolean flag = false;
for(int i=0;i<arr.length; i++)
{
if(arr[i]==num)
{
flag = true;
break;
}
}
return flag;
}
}
public static int[] removeDuplicates(int[] arr) {
int end = arr.length;
HashSet<Integer> set = new HashSet<Integer>(end);
for(int i = 0 ; i < end ; i++){
set.add(arr[i]);
}
return set.toArray();
}
You can use an auxiliary array (temp) which in indexes are numbers of main array. So the time complexity will be liner and O(n). As we want to do it without using any library, we define another array (unique) to push non-duplicate elements:
var num = [2,4,9,4,1,2,24,12,4];
let temp = [];
let unique = [];
let j = 0;
for (let i = 0; i < num.length; i++){
if (temp[num[i]] !== 1){
temp[num[i]] = 1;
unique[j++] = num[i];
}
}
console.log(unique);
If you are looking to remove duplicates using the same array and also keeping the time complexity of O(n). Then this should do the trick. Also, would only work if the array is sorted.
function removeDuplicates_sorted(arr){
let j = 0;
for(let x = 0; x < arr.length - 1; x++){
if(arr[x] != arr[x + 1]){
arr[j++] = arr[x];
}
}
arr[j++] = arr[arr.length - 1];
arr.length = j;
return arr;
}
Here is for an unsorted array, its O(n) but uses more space complexity then the sorted.
function removeDuplicates_unsorted(arr){
let map = {};
let j = 0;
for(var numbers of arr){
if(!map[numbers]){
map[numbers] = 1;
arr[j++] = numbers;
}
}
arr.length = j;
return arr;
}
Note to other readers who desire to use the Set method of solving this problem: If original ordering must be preserved, do not use HashSet as in the top result. HashSet does not guarantee the preservation of the original order, so LinkedHashSet should be used instead-this keeps track of the order in which the elements were inserted into the set and returns them in that order.
This is an interview question.
public class Test4 {
public static void main(String[] args) {
int a[] = {1, 2, 2, 3, 3, 3, 6,6,6,6,6,66,7,65};
int newlength = lengthofarraywithoutduplicates(a);
for(int i = 0 ; i < newlength ;i++) {
System.out.println(a[i]);
}//for
}//main
private static int lengthofarraywithoutduplicates(int[] a) {
int count = 1 ;
for (int i = 1; i < a.length; i++) {
int ch = a[i];
if(ch != a[i-1]) {
a[count++] = ch;
}//if
}//for
return count;
}//fix
}//end1
But, it's always better to use Stream :
int[] a = {1, 2, 2, 3, 3, 3, 6,6,6,6,6,66,7,65};
int[] array = Arrays.stream(a).distinct().toArray();
System.out.println(Arrays.toString(array));//[1, 2, 3, 6, 66, 7, 65]
How about this one, only for the sorted Array of numbers, to print the Array without duplicates, without using Set or other Collections, just an Array:
public static int[] removeDuplicates(int[] array) {
int[] nums = new int[array.length];
int addedNumber = 0;
int j = 0;
for(int i=0; i < array.length; i++) {
if (addedNumber != array[i]) {
nums[j] = array[i];
j++;
addedNumber = nums[j-1];
}
}
return Arrays.copyOf(nums, j);
}
An array of 1040 duplicated numbers processed in 33020 nanoseconds(0.033020 millisec).
public static void main(String[] args) {
Integer[] intArray = { 1, 1, 1, 2, 4, 2, 3, 5, 3, 6, 7, 3, 4, 5 };
Integer[] finalArray = removeDuplicates(intArray);
System.err.println(Arrays.asList(finalArray));
}
private static Integer[] removeDuplicates(Integer[] intArray) {
int count = 0;
Integer[] interimArray = new Integer[intArray.length];
for (int i = 0; i < intArray.length; i++) {
boolean exists = false;
for (int j = 0; j < interimArray.length; j++) {
if (interimArray[j]!=null && interimArray[j] == intArray[i]) {
exists = true;
}
}
if (!exists) {
interimArray[count] = intArray[i];
count++;
}
}
final Integer[] finalArray = new Integer[count];
System.arraycopy(interimArray, 0, finalArray, 0, count);
return finalArray;
}
I feel Android Killer's idea is great, but I just wondered if we can leverage HashMap. So I did a little experiment. And I found HashMap seems faster than HashSet.
Here is code:
int[] input = new int[1000000];
for (int i = 0; i < input.length; i++) {
Random random = new Random();
input[i] = random.nextInt(200000);
}
long startTime1 = new Date().getTime();
System.out.println("Set start time:" + startTime1);
Set<Integer> resultSet = new HashSet<Integer>();
for (int i = 0; i < input.length; i++) {
resultSet.add(input[i]);
}
long endTime1 = new Date().getTime();
System.out.println("Set end time:"+ endTime1);
System.out.println("result of set:" + (endTime1 - startTime1));
System.out.println("number of Set:" + resultSet.size() + "\n");
long startTime2 = new Date().getTime();
System.out.println("Map start time:" + startTime1);
Map<Integer, Integer> resultMap = new HashMap<Integer, Integer>();
for (int i = 0; i < input.length; i++) {
if (!resultMap.containsKey(input[i]))
resultMap.put(input[i], input[i]);
}
long endTime2 = new Date().getTime();
System.out.println("Map end Time:" + endTime2);
System.out.println("result of Map:" + (endTime2 - startTime2));
System.out.println("number of Map:" + resultMap.size());
Here is result:
Set start time:1441960583837
Set end time:1441960583917
result of set:80
number of Set:198652
Map start time:1441960583837
Map end Time:1441960583983
result of Map:66
number of Map:198652
This is not using Set, Map, List or any extra collection, only two arrays:
package arrays.duplicates;
import java.lang.reflect.Array;
import java.util.Arrays;
public class ArrayDuplicatesRemover<T> {
public static <T> T[] removeDuplicates(T[] input, Class<T> clazz) {
T[] output = (T[]) Array.newInstance(clazz, 0);
for (T t : input) {
if (!inArray(t, output)) {
output = Arrays.copyOf(output, output.length + 1);
output[output.length - 1] = t;
}
}
return output;
}
private static <T> boolean inArray(T search, T[] array) {
for (T element : array) {
if (element.equals(search)) {
return true;
}
}
return false;
}
}
And the main to test it
package arrays.duplicates;
import java.util.Arrays;
public class TestArrayDuplicates {
public static void main(String[] args) {
Integer[] array = {1, 1, 2, 2, 3, 3, 3, 3, 4};
testArrayDuplicatesRemover(array);
}
private static void testArrayDuplicatesRemover(Integer[] array) {
final Integer[] expectedResult = {1, 2, 3, 4};
Integer[] arrayWithoutDuplicates = ArrayDuplicatesRemover.removeDuplicates(array, Integer.class);
System.out.println("Array without duplicates is supposed to be: " + Arrays.toString(expectedResult));
System.out.println("Array without duplicates currently is: " + Arrays.toString(arrayWithoutDuplicates));
System.out.println("Is test passed ok?: " + (Arrays.equals(arrayWithoutDuplicates, expectedResult) ? "YES" : "NO"));
}
}
And the output:
Array without duplicates is supposed to be: [1, 2, 3, 4]
Array without duplicates currently is: [1, 2, 3, 4]
Is test passed ok?: YES
How to sort array
int[] A = {0,1,1,0,1,0,1,1,0}
You can actually sort this array by traversing the array only once.
Here is the snippet of my code:
int arr[] = {1,1,1,1,0, 0,1,0,1,1,1};
int arrb[] = new int[arr.length];
int zeroInsertIndex = 0;
int oneInsertIndex =arrb.length-1;
for(int i=0; i<arr.length; i++){
if(arr[i] == 1)
arrb[oneInsertIndex--] = 1;
else if (arr[i] == 0)
arrb[zeroInsertIndex++] = 0;
}
for(int i=0;i<arrb.length;i++)
System.out.print(arrb[i] + " ");
Although Arrays.sort is an obvious, simple, O(n log n) solution, there is an O(n) solution for this special case:
Count the number of zeros, zeroCount.
Fill the first zeroCount elements with 0, the remaining elements with 1.
This takes just two passes over the array.
More generally, any array with only a small number of distinct values can be sorted by counting how many times each value appears, then filling in the array accordingly.
use any sorting algorithm to do it. For beginner use bubble sort (easy to understand)
Refer Wiki
public static void bubble_srt( int a[], int n ){
int i, j,t=0;
for(i = 0; i < n; i++){
for(j = 1; j < (n-i); j++){
if(a[j-1] > a[j]){
t = a[j-1];
a[j-1]=a[j];
a[j]=t;
}
}
}
}
EDITED
As #Pradeep Said: You may definitely use Array.sort()
Your array contains only zeros and one so sum all the elements in the array and then reset the array with those many '1's in the end and rest '0's in the beginning. Time complexity is also O(n) with constant space. So it seems the best and easy one.
public static void main(String[] args) {
int[] A = { 0, 1, 1, 0, 1, 0, 1, 1, 0 };
int sum = 0;
for (int i = 0; i < A.length; i++)
sum = sum + A[i];
Arrays.fill(A, A.length - sum, A.length, 1);
Arrays.fill(A, 0, A.length - sum, 0);
System.out.println(Arrays.toString(A));
}
Try this I implemented the above algorithm.
Output:
[0, 0, 0, 0, 1, 1, 1, 1, 1]
You can use Arrays.sort method from Arrays class:
int[] A = {0,1,1,0,1,0,1,1,0};
Arrays.sort(A);
System.out.println(A);
Actually standard off-the-shelf sorting algorithms will typically work on O(n*log(n)). You could just run through the array once adding all the values (i.e. the number of 1). Let's say you put this in count1. Then go once more over the array setting the first count1 positions to 1, and the rest to 0. It takes 2n steps.
Of course, as other posters said: this kind of optimizations is what you do once you've detected a bottleneck, not right off the bat when you start.
Arrays.sort(A,Collections.reverseOrder());
USE
Arrays.sort(A);
method to sort your array.
You can try like this also
public static void main(String[] args) {
int inputArray[] = { 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0 };
formatInputArray(inputArray);
}
private static void formatInputArray(int[] inputArray) {
int count = 0;
for (int i = 0; i < inputArray.length; i++) {
if (inputArray[i] == 0) {
count++;
}
}
// System.out.println(count);
for (int i = 0; i < inputArray.length; i++) {
if (i < count) {
inputArray[i] = 0;
}
else {
inputArray[i] = 1;
}
}
for (int i = 0; i < inputArray.length; i++) {
System.out.print(inputArray[i] + " , ");
}
}
Sort Array which contains only 0,1 and 2
import java.util.*;
public class HelloWorld {
static void sort012(int []a, int length) {
int start = 0;
int mid = 0;
int end = length - 1;
int temp;
while(mid<=end) {
switch(a[mid]) {
case 0:
temp = a[start];
a[start] = a[mid];
a[mid] = temp;
start++;
mid++;
break;
case 1:
mid++;
break;
case 2:
temp = a[end];
a[end] = a[mid];
a[mid] = temp;
end--;
break;
}
}
}
public static void main(String []args){
Scanner sc = new Scanner(System.in);
int n = sc.nextInt();
int a[] = new int[n];
for (int i =0;i<n; i++)
a[i] = sc.nextInt();
HelloWorld.sort012(a, n);
// Print the sorted Array
for (int i =0;i<n; i++)
System.out.println(a[i]);
}
}
var binaryArr = [1,1,1,0,1,0,1,0,1,1,1,1,1,1,1,1,0,0,1,0,1,0,0,0,0];
//i - starting index
//j - ending index
function binarySort(arr){
var i=0,j=arr.length-1;
for(;i!=j;){
if(arr[i] == 1){
if(arr[j] == 0){
arr[i] = 0;
arr[j] = 1;
j--;
i++;
} else {
j--;
}
}else{
i++;
}
}
}
binarySort(binaryArr);
Team
Please consider the below program in Swift in o(n) time complexity and constant extra space.
import UIKit
var inputArray = [1,0,1,0,0,0,0,1,1,1,1,1,1]
var leftIndex: Int = 0
var rightIndex: Int = inputArray.count-1
while leftIndex < rightIndex{
while inputArray[leftIndex] == 0 && leftIndex < rightIndex{
leftIndex = leftIndex+1
}
while inputArray[rightIndex] == 1 && rightIndex > leftIndex {
rightIndex = rightIndex-1
}
if leftIndex < rightIndex{
inputArray[leftIndex] = 0
inputArray[rightIndex] = 1
leftIndex = leftIndex+1
rightIndex = rightIndex-1
}
}
print(inputArray)
Sort 0 and 1 array using below code:
public static int[] sortArray(int[] array){
int first = 0;
int last = array.length-1;
while(first<last){
if(array[first]==0){
first++;
}else if(array[last] == 0){
int temp = array[last];
array[last] = array[first];
array[first] = temp;
first++;
}else{
last--;
}
}
return array;
}
public static void sort(int a[]) {
int sum=0;
int b[]= new int [a.length];
for(int i=0;i<a.length;i++) {
sum=sum+a[i];
}
System.out.println(sum);
int j=b.length-1;
while(sum>0) {
b[j]=1;
sum--;
j--;
}
System.out.println(Arrays.toString(b));
}
public class Test {
public static void main(String[] args) {
int[] arr = {0, 1, 0, 1, 0, 0, 1, 1, 1, 0};
int start = 0;
for (int i = 0; i < arr.length; i++) {
if (arr[i] == 0) {
arr[start] = 0;
if (i != start) { // should not override same value with 1
arr[i] = 1;
}
start++;
}
}
for (int i = 0; i < arr.length; i++) {
System.out.print(arr[i] + " ");
}
}
}
//complexity is O(n)
If its just 0's and 1's, it can be done using two pointers.
c# code snippet :
int i = 0; int j = input.Length - 1;
while (i < j)
{
if (input[i] == 0 && input[j] == 0)
i++;
else if(input[i] == 1 && input[j] == 1)
j--;
else if (input[i] > input[j])
{
input[i++] = 0;
input[j--] = 1;
}
else
{
i++; j--;
}
}
int[] a = {0,1,1,0,1,0,1,1,0}
Here, we are iterating with i where i starts from 1. so we can compare previous index value with the current value of i. Used swapping technique to sort the array.
Note: Sort/2 pointer technique we can also use.
public int[] sort(int[] a){
int temp=0;
for(int i=1;i<a.length;i++){
if( a[i-1] > a[i]){
temp = a[i-1];
a[i-1] = a[i];
a[i] = temp;
}
}
return a[i];
}
Time complexity : O(n)
The following code will sort your array. Please notice that it does so in place - so it modifies the object in memory instead of returning a new one.
In Python
arr=[0,1,0,0,1,1,1,0,1,1,0]
arr.sort()
print(arr)
In Java
public class test{
public static void main(String[] args){
int[] arr= {0,1,0,0,1,1,1,0,1,1,0};
Arrays.sort(arr);
System.out.println(Arrays.toString(arr));
}}
The following is NOT a homework problem, it's just a set of problems that I've been working through for practice and I was wondering if anybody else could figure it out:
http://codingbat.com/prob/p159339
Return an array that contains exactly the same numbers as the given array, but rearranged so that every 3 is immediately followed by a 4. Do not move the 3's, but every other number may move. The array contains the same number of 3's and 4's, every 3 has a number after it that is not a 3 or 4, and a 3 appears in the array before any 4.
*SOLVED - here is my working code:
public int[] fix34(int...nums)
{
int[] returnArray = new int[nums.length];
//ASSIGN ARRAY
//We know that all 3's can't be moved, and after every 3 there
//will automatically be a 4
for(int i = 0; i<nums.length; i++)
{
if(nums[i] == 3)
{
returnArray[i] = 3;
returnArray[i+1] = 4;
}
}
//REBUILD ARRAY - UNMOVED INDEXES
//If a value was not moved/affected by the above, it will get placed into the array
//in the same position
for (int i = 0; i < nums.length; i++)
{
if (returnArray[i] != 3 && returnArray[i] != 4 && nums[i] != 3 && nums[i] != 4)
{
returnArray[i] = nums[i];
}
}
//REBUILD ARRAY - MOVED INDEXES
//changed values = 0 in returnArray, as a result, any time we hit a 0 we
//can simply assign the value that was in the 4's place in the nums array
OuterLoop: for (int i = 0; i < nums.length; i++)
{
if (returnArray[i] == 0)
{
for (int n = 0; n < returnArray.length; n++)
{
if (returnArray[n] == 4)
{
returnArray[i] = nums[n];
continue OuterLoop;
}
}
}
}
return returnArray;
}
I don't know java, but maybe I can help anyway. i dont want to give you the solution, but think of it like this:
you can move every number that isn't a 3. that's our only limit. that being said:
the only spots you need to change are the spots following 3s....so....every time you loop through, your program should be aware if it finds a spot after a 3 that isn't a 4....
it should also be aware if it finds any 4s not preceded by a 3......
during each loop, once it's found the location of each of those two things, you should know what to do.
Initialize all the variables
for(int i = 0; i<n-1; i++)
{
if(arr[i] == 3)
{
if(arr[i+1] == 4)
continue;
else
{
temp = 0;
while(arr[temp] != 4)
temp++;
//Write your own code here
}
//Complete the code
}
I have NOT provided the entire code. Try completing it as you said it was for your practice.
public int[] fix34(int[] nums) {
int[] arr = new int[nums.length];
int index = 0;
int tempVal= 0,j=0;
for(int i=0;i<nums.length;i++){
if(nums[i]==3){
arr[i] = nums[i];
index=i+1;
tempVal = nums[i+1];
j=index;
while(j<nums.length){
if(j<nums.length && nums[j]==4){
//System.out.println(j+"\t="+nums[j]);
nums[j]=tempVal;
nums[index] = 4;
break;
}
j++;
}
tempVal=0;
index=0;
}else{
arr[i] = nums[i];
}
}
index =0;
for(int i=0;i<nums.length;i++){
if(nums[i]==3 && nums[i+1]==4){
i+=1;
}else if(nums[i]==4){
index = i;
j=index;
while(j<nums.length){
if(nums[j]==3 && nums[j+1]!=4){
arr[index] = nums[j+1];
arr[j+1] = 4;
}
j++;
}
}
}
return arr;
}
Here's mine: A little overkill, but is always right, anyways i make 2 additional arrays and I make 2 passes in the loop putting the correct elements in the correct places. See Logic Below.
public int[] fix34(int[] nums) {
int index1 = 0;
int index2 = 0;
int index3 = 0;
int[] only4 = fours(nums); //holds all 4's in nums
int[] misc = new int[count4(nums)]; //will hold numbers after 3
for(int a = 0; a < nums.length - 1; a++){
if(nums[a] == 3){
misc[index1] = nums[a + 1]; //get it for later use
index1++;
nums[a + 1] = only4[index2]; //now the number after 3 is a 4, from the
index2++; //only4 array
}
}
for(int b = 1; b < nums.length; b++){
if(nums[b] == 4 && nums[b - 1] != 3){ //finds misplaced 4's
nums[b] = misc[index3]; //replaces lone 4's with the
index3++; //right hand side of each 3 original values.
}
}
return nums;
}
public int count4(int[] nums){
int cnt = 0;
for(int e : nums){
if(e == 4){
cnt++;
}
}
return cnt;
}
public int[] fours(int[] nums){
int index = 0;
int[] onlyFours = new int[count4(nums)]; //must set length
for(int e : nums){
if(e == 4){
onlyFours[index] = e;
index++;
}
}
return onlyFours;
}
I solved mine using two ArrayLists which contain the places of 3's and 4's.
I hope this helps.
public int[] fix34(int[] nums)
{
//Create a copy of nums to manipulate.
int[] ret = nums;
//Create two ArrayLists which carry corresponding places of 3 and 4;
ArrayList<Integer> threePositions = new ArrayList<Integer>();
ArrayList<Integer> fourPositions = new ArrayList<Integer>();
//Get the places of 3 and 4 and put them in the respective ArrayLists.
for (int i = 0; i < ret.length; i++)
{
if (ret[i] == 3)
{
threePositions.add(i);
}
if (ret[i] == 4)
{
fourPositions.add(i);
}
}
//Swap all ints right after the 3 with one of the 4s by using the referenced
//ArrayLists values.
for (int i = 0; i < threePositions.size(); i++)
{
int temp = ret[threePositions.get(i) + 1];
ret[threePositions.get(i) + 1] = ret[fourPositions.get(i)];
ret[fourPositions.get(i)] = temp;
}
//Return the ret array.
return ret;
}