I am writing a program and I can't seem to make the IF action loop and check all of the arrays in the main. My job is to figure out whether there exists any pair of numbers (i.e., any two elements) in this ascending sorted array that will add up to 20. All you need to do is to sum the values these two pointers point to and see if they are equal to 20, if so, output. otherwise, inspect the sum, if the sum is greater than 20,decrement the second pointer and if the sum is less than 20, increment the first pointer. cannot use the nested for loop approach!! Not sure how to fix this... i've been at it for hours and have handwritten it with no luck. thank you!!
// if val of arr at index i is smaller than at arr j, then return
// smaller value
// This function will inspect the input to find any pair of values that
// add up to 20
// if it find such a pair, it will return the *index* of the smallest
// value
// if it does not find such as pair, it will return -1;
public class SumExperiment {
public static int check_sum(int[] array) {
int i = array[0];
int y = array.indexOf(array.length); // need value # index of array.length to begin
//loop to repeat action
for (int arraysChecked = 0; arraysChecked < 5; arraysChecked++ )
{
if ( i + y == 20)
{
return i;
// System.out.print(array[i]);
}
else if ( i + y > 20)
{
y--; //index #y
}
else if (i + y < 20)
{
i++; //index #x
}
if ( i + y != 20)
{
return -1;
}
arraysChecked++;
}
return -1; //because must return int, but this isn't correct
}
public static void main(String[] args) {
int[] array1 = new int[] { 5, 7, 8, 9, 10, 15, 16 };
if (check_sum(array1) != 0)
System.err.println("TEST1 FAILED");
int[] array2 = new int[] { 3, 5, 8, 9, 10, 15, 16 };
if (check_sum(array2) != 1)
System.err.println("TEST2 FAILED");
int[] array3 = new int[] { 3, 4, 6, 9, 10, 14, 15 };
if (check_sum(array3) != 2)
System.err.println("TEST3 FAILED");
int[] array4 = new int[] { 6, 7, 8, 9, 10, 15, 16 };
if (check_sum(array4) != -1)
System.err.println("TEST4 FAILED");
System.out.println("Done!!!");
}
}
I think you are getting confused between the values in the array and the indices of the values. Here is a working version with variable names that make it easier to understand what's going on:
public static int check_sum(int[] array) {
int leftIndex = 0;
int rightIndex = array.length - 1;
for (int arraysChecked = 0 ; arraysChecked < 5 ; arraysChecked++) {
if (leftIndex == rightIndex) {
return -1;
}
int smallerValue = array[leftIndex];
int largerValue = array[rightIndex];
int sum = smallerValue + largerValue;
if (sum == 20) {
// Returns INDEX of smaller value
return leftIndex;
} else if (sum > 20) {
rightIndex--;
} else if (sum < 20) {
leftIndex++;
}
// NO NEED FOR THIS: arraysChecked++; (for loop does it for you)
}
}
Related
The method is given NxN matrix always powers of 2 and a number,it will return true if the num is found example for 4x4 size:
this is what i wrote:
public class Search {
public static boolean Search (int [][] matrix, int num)
{
int value = matrix.length / 2;
int first_quarter_pivot = matrix[value-1][0]; // represents highest number in first quarter
int second_quarter_pivot = matrix[value-1][value]; // represents highest number in second quarter
int third_quarter_pivot = matrix[matrix.length-1][value]; // represents highest number in third quarter
int fourth_quarter_pivot = matrix[matrix.length-1][0]; // represents highest number in fourth quarter
boolean isBoolean = false;
int i=0;
int j;
// if the num is not in the range of biggest smallest number it means he can`t be there.
if(!(num >= first_quarter_pivot) && (num <= fourth_quarter_pivot)) {
return false;
}
// if num is one of the pivots return true;
if((num == first_quarter_pivot || (num ==second_quarter_pivot))
|| (num == third_quarter_pivot) || (num == fourth_quarter_pivot ))
return true;
// if num is smaller than first pivot it means num is the first quarter,we limit the search to first quarter.
// if not smaller move to the next quarter pivot
if(num < first_quarter_pivot){{
j =0;
do
if(matrix[i][j] == num) {
isBoolean = true;
break;
}
else if((j == value)) {
j = 0;
i++;
}
else if(matrix[i][j] != num){
j++;
}
while(isBoolean != true) ;
}
return isBoolean;
}
// if num is smaller than second pivot it means num is the second quarter,we limit the search to second quarter.
// if not smaller move to the next quarter pivot
if(num < second_quarter_pivot){{
j = value;// start (0,value) j++ till j=value
do
if(matrix[i][j] == num) {
isBoolean = true;
break;
}
else if((j == matrix.length-1)) {
j = value;
i++;
}
else if(matrix[i][j] != num){
j++;
}
while(isBoolean != true) ;
}
return isBoolean;
}
// if num is smaller than third pivot it means num is the third quarter,we limit the search to third quarter.
// if not smaller move to the next quarter pivot
if(num < third_quarter_pivot){{
i = value;
j = value;// start (0,value) j++ till j=value
do
if(matrix[i][j] == num) {
isBoolean = true;
break;
}
else if((j == matrix.length-1)) {
j = value;
i++;
}
else if(matrix[i][j] != num){
j++;
}
while(isBoolean != true) ;
}
return isBoolean;
}
// if num is smaller than fourth pivot it means num is the fourth quarter,we limit the search to fourth quarter.
// number must be here because we verfied his existence in the start.
if(num < fourth_quarter_pivot){
i = value;
j = 0;// start (0,value) j++ till j=value
do
if(matrix[i][j] == num) {
isBoolean = true;
break;
}
else if((j == value)) {
j = 0;
i++;
}
else if(matrix[i][j] != num){
j++;
}
while(isBoolean != true) ;
}
return isBoolean;
}
}
What i tried to do:
find in which quarter the wanted number is in,after that check
the same quarter by moving j++ until it hits the limit,than i++
until found
with the limits changing for each quarter,i cant understand if run time complexity is O(n^2) or lower? and will it be better do create one dimensional array and and move on the quarter this way: move right until limit,one down,move left until limit and il have a sorted array and just binear search
If you can map an array to a matrix, you can use a normal binary search.
You can define the translation table to achieve that like this:
X = [0, 0, 1, 1, 0, 0, 1, 1, 2, 2, 3, 3, 2, 2, 3, 3, ...]
Y = [0, 1, 1, 0, 2, 3, 3, 2, 2, 3, 3, 2, 0, 1, 1, 0, ...]
The final program looks like this.
static final int MAX_N = 64;
static final int MAX_NN = MAX_N * MAX_N;
static final int[] DX = {0, 0, 1, 1};
static final int[] DY = {0, 1, 1, 0};
static final int[] X = new int[MAX_NN];
static final int[] Y = new int[MAX_NN];
static { // initialize X and Y
for (int i = 0; i < MAX_NN; ++i) {
int x = 0, y = 0;
for (int t = i, f = 0; t > 0; ++f) {
int mod = t & 3;
x += DX[mod] << f; y += DY[mod] << f;
t >>= 2;
}
X[i] = x; Y[i] = y;
}
}
public static boolean Search(int [][] matrix, int num) {
int n = matrix.length, nn = n * n;
int lower = 0;
int upper = nn - 1;
while (lower <= upper) {
int mid = (lower + upper) / 2;
int value = matrix[X[mid]][Y[mid]];
if (value == num)
return true;
else if (value < num)
lower = mid + 1;
else
upper = mid - 1;
}
return false;
}
and
public static void main(String[] args) {
int[][] matrix = {
{1, 3, 7, 9},
{6, 4, 15, 11},
{36, 50, 21, 22},
{60, 55, 30, 26},
};
// case: exists
System.out.println(Search(matrix, 1));
System.out.println(Search(matrix, 60));
System.out.println(Search(matrix, 11));
// case: not exists
System.out.println(Search(matrix, 0));
System.out.println(Search(matrix, 70));
System.out.println(Search(matrix, 20));
}
output:
true
true
true
false
false
false
Write a function that takes an array as input and returns an array of 2 numbers. The returned array contains the sum of even numbers and sum of odd numbers from the input.
If any of the input is null it should be treated as an empty array
Example:
Input:
[30, 18, 2, 83, 20, 71]
Output:
[70, 154]
Input:
[14, 11, 10, 67, 41]
Output:
[24, 119]
Input:
[36, 24, -82, 29, 44, -3, -100, -5, 49]
Output:
[-78, 70]
The function that I have written is
public int[] getSumOfEvensAndOdds(int[] input) {
int x[] = input;
int even = 0, odd = 0;
for (int i = 0; i < x.length; i++) {
if (x[i] % 2 == 0)
even += x[i];
else
odd += x[i];
}
int[] ans={even, odd};
return ans;
}
But how should I incorporate the part of the empty array?
Check if input is null first. If it is, work on an empty array instead:
int x[] = input == null ? new int[0] : input;
if any of the input is null it should be treated as an empty array
Why not just check for null value?
public int[] getSumOfEvensAndOdds(int[] input) {
int even = 0, odd = 0;
if(null != input){
for (int i: input) {
if (0 == i % 2){
even += i;
} else{
odd += i;
}
}
}
return new int[]{even, odd};
}
You need something like this:
public class Test {
public static int[] getSumOfEvensAndOdds(int[] input) {
int[] def = {0,0};
if (input != null && input.length!=0) {
int x[] = input;
int even = 0, odd = 0;
for (int i = 0; i < x.length; i++) {
if (x[i] % 2 == 0)
even += x[i];
else
odd += x[i];
}
int[] ans = {even, odd};
return ans;
}
return def;
}
public static void main(String [ ] args){
int[] ar = {10,20,30,40,50,60,71,80,90,91};
int[] res;
res = getSumOfEvensAndOdds(ar);
System.out.println("Result: " + res[0] + " " + res[1]);
int[] ar2 = {};
res = getSumOfEvensAndOdds(ar2);
System.out.println("Result: " + res[0] + " " + res[1]);
int[] ar3 = null;
res = getSumOfEvensAndOdds(ar3);
System.out.println("Result: " + res[0] + " " + res[1]);
}
}
I use input!=null to check whether the array is null and input.length!=0 to check if its size is 0. Also, in the main method I give three examples.
public int[] getSumOfEvensAndOdds(int[] input) {
int x[] = input;
int even = 0, odd = 0;
for (int i = 0; i < x.length; i++) {
if(x[i] != null) //in case array contains elements which aren't null
{
if (x[i] % 2 == 0)
even += x[i];
else
odd += x[i];
}
else //in case the array has null array elements
{
even = 0;
odd = 0;
}
int[] ans={even, odd};
return ans;
}
Empty array may be return like this return new int[]{}
Your question is just about arrays being empty. A quick search got me this: How can I check whether an array is null / empty?
I need to find out the maximum number of pairs of 1's and 0's that can be found by just altering a single number in a given array.
For example:
If my input is {1,0,0,1,0,0}, here at index position 3 if I replace 1 with 0 then I will get 4 pairs i.e the arrays becomes {1,0,0,0,0,0}, and the pairs are (1,2), (2,3), (3,4), (4,5).
But if I replace index position 0 from 1 to 0 then the array is {0,0,0,1,0,0} here I will get only 3 pairs i.e (0,1), (1,2), (4,5)
I need a program that returns maximum number of pairs possible for a given input array. In this case the program should give 4 as result.
Here the array contains only 1's and 0's.
Here is my program:
public class Program {
public static void main(String[] args) {
Program program = new Program();
int[] a = { 1, 0, 0, 1, 0, 1 };
int response = program.calculate(a);
System.out.println(response);
}
int calculate(int[] input) {
if(input == null || input.length == 0) {
return -1;
}
int length = input.length;
int result = 0;
for (int i = 0; i < length - 1; i++) {
if (input[i] == input[i + 1]) {
result = result + 1;
}
}
int temp = 0;
for (int i = 0; i < length - 1; i++) {
int count = 0;
if (i > 0) {
if (input[i - 1] != input[i]) {
count = count + 1;
} else {
count = count - 1;
}
}
if (i < length - 1) {
if (input[i + 1] != input[i]) {
count = count + 1;
} else {
count = count - 1;
}
}
temp = Math.max(temp, count);
}
return result + temp;
}
}
I was told the program is having some bugs but I was not able to find out where the issue is. I tried passing various values to this program but it is still working without issues. Can you please help me with some combination of inputs for which this program fails.
Well, it seems to be failing for
{ 0, 0, 0, 0, 0, 0, 1}; -> 5 but not {0, 1}; -> 1
{ 1, 0, 1}; -> 2
{ 1, 1, 1}; -> 2
{ 1,0,0,0,0,1,1,0,0,0}; -> 7
I'm studying the 3 Sum to implement it on my own, and came across the following implementation with the rules:
Given an array S of n integers, are there elements a, b, c in S such that a + b + c = 0? Find all unique triplets in the array which gives the sum of zero.
Note: Elements in a triplet (a,b,c) must be in non-descending order. (ie, a ≤ b ≤ c)
The solution set must not contain duplicate triplets.
For example, given array S = {-1 0 1 2 -1 -4},
A solution set is:
(-1, 0, 1)
(-1, -1, 2)
And implementation (sorts the array, iterates through the list, and uses another two pointers to approach the target):
import java.util.*;
public class ThreeSum {
List<List<Integer>> threeSum(int[] num) {
Arrays.sort(num);
List<List<Integer>> res = new LinkedList<>();
for (int i=0; i<num.length-2; i++) {
if (i==0 || (i>0 && num[i] != num[i-1])) { //HERE
int lo = i+1;
int hi = num.length-1;
int sum = 0 - num[i];
while (lo < hi) {
if (num[lo] + num[hi] == sum) {
res.add(Arrays.asList(num[i], num[lo], num[hi]));
while (lo < hi && num[lo] == num[lo+1]) lo++; //HERE
while (lo < hi && num[hi] == num[hi-1]) hi--; //HERE
lo++; hi--;
} else if (num[lo] + num[hi] < sum) lo++;
else hi--;
}
}
}
return res;
}
//Driver
public static void main(String args[]) {
ThreeSum ts = new ThreeSum();
int[] sum = {-1, 0, 1, 2, -1, -4};
System.out.println(ts.threeSum(sum));
}
}
And my question is (located where commented: //HERE), what's the reason for checking num[i] != num[i-1], num[lo] == num[lo+1], and num[hi] == num[hi-1]? Supposedly they are supposed to skip the same result, but what does that mean? Examples would really help.
Thank you in advance and will accept answer/up vote.
Imagine you have {-1,-1,0,1,2,4} and considering triplet num[0], num[2], num[3] (-1,0,1).
lo=0 here. To exclude triplet num[1], num[2], num[3] with the same values, we should increment lo and pass over duplicate
This will prevent the list to have duplicate triplet.
For example, with you test :
int[] sum = {-1, 0, 1, 2, -1, -4};
will be sorted like :
sum = {-4, -1, -1, 0, 1, 2};
You see that you have -1 twice. Without these test, you would test twice if -1 = 0 + 1. This is not usefull so the algo simply search the next different value.
You could remove duplicate in the sorted List to prevent these test.
Thanks to MBo, we can't remove duplicate since we can have triplet with same value (but with different index)
All the three sentences is used to avoid the duplicate output.
Consider a sorted list {-2, -2 , 1, 1}
If there is no checking for num[i] != num[i-1], the output of the program would be(-2, 1, 1)and(-2, 1, 1), which are two duplicate triplets.
The checking for num[lo] != num[lo + 1]and num[hi] != num[hi - 1] are for the same reason.
Consider a sorted list
{-2,-1,-1,0,3}
If there is no checking for num[lo], you will get (-2,-1,3) and (-2,-1,3) as the output.
Still, I want to recommend a better solution for this problem. You can numerate the sum of two numbers in the list and find the 3rd number by hash or binary search. It will helps you to gain a O(n^2logn) time complexity rather than O(n^3). (I was wrong, the time complexity of this algorithm is O(n^2), sorry for that.)
Following program finds pairs of three integer with O(N*2)
Sort the input Array
and iterate each element in for loop and check for sum in program which is developed for Two sum.
Two sum in linear time after sorting ->
https://stackoverflow.com/a/49650614/4723446
public class ThreeSum {
private static int countThreeSum(int[] numbers) {
int count = 0;
for (int i = 0; i < numbers.length; i++) {
int front = 0, rear = numbers.length - 1;
while (front < rear) {
if (numbers[front] + numbers[rear] + numbers[i] == 0) {
System.out.printf(String.format("Front : {%d} Rear : {%d} I : {%d} \n", numbers[front],
numbers[rear], numbers[i]));
front++;
rear--;
count++;
} else {
if (Math.abs(numbers[front]) > Math.abs(numbers[rear])) {
front++;
} else {
rear--;
}
}
}
}
return count;
}
public static void main(String[] args) {
int[] numbers = { 1, 3, 5, 7, 12, 16, 19, 15, 11, 8, -1, -3, -7, -8, -11, -17, -15 };
Arrays.sort(numbers);
System.out.println(countThreeSum(numbers));
}
}
It's worked with any NSum (3Sum, 4Sum, 5Sum, ...) and quite fast.
public class ThreeSum {
private static final int RANDOM_RANGE = 20;
private Integer array[];
private Integer arrayIndex[];
private int result[];
private int bagLength;
private int resultIndex = 0;
private void generateData(int size) {
array = new Integer[size];
Random random = new Random();
for (int i = 0; i < size; i++) {
array[i] = random.nextInt(RANDOM_RANGE) - (RANDOM_RANGE/2);
}
}
private void markArrayIndex(int size) {
arrayIndex = new Integer[size];
for (int i = 0; i < size; i++) {
arrayIndex[i] = i;
}
}
private void prepareBeforeCalculate(int size, int sumExpected, int bagLength) {
this.bagLength = bagLength;
result = new int[bagLength];
generateData(size);
markArrayIndex(size);
}
void calculate(int size, int sumExpected, int bagLength) {
prepareBeforeCalculate(size, sumExpected, bagLength);
Arrays.sort(arrayIndex, (l, r) -> array[l].compareTo(array[r]));
System.out.println(Arrays.toString(array));
long startAt = System.currentTimeMillis();
if (sumExpected > 0) findLeft(sumExpected, 0, 0, array.length);
else findRight(sumExpected, 0, 0 - 1, array.length - 1);
System.out.println("Calculating in " + ((System.currentTimeMillis() - startAt) / 1000));
}
private void findLeft(int total, int indexBag, int left, int right) {
while (left < array.length && array[arrayIndex[left]] < 0 && indexBag < bagLength) {
navigating(total, arrayIndex[left], indexBag, left, right);
left++;
}
}
private void findRight(int total, int indexBag, int left, int right) {
while (right >= 0 && array[arrayIndex[right]] >= 0 && indexBag < bagLength) {
navigating(total, arrayIndex[right], indexBag, left, right);
right--;
}
}
private void navigating(int total, int index, int indexBag, int left, int right) {
result[indexBag] = index;
total += array[index];
if (total == 0 && indexBag == bagLength - 1) {
System.out.println(String.format("R[%d] %s", resultIndex++, toResultString()));
return;
}
if (total > 0) findLeft(total, indexBag + 1, left + 1, right);
else findRight(total, indexBag + 1, left, right - 1);
}
private String toResultString() {
int [] copyResult = Arrays.copyOf(result, result.length);
Arrays.sort(copyResult);
int iMax = copyResult.length - 1;
StringBuilder b = new StringBuilder();
b.append('[');
for (int i = 0; ; i++) {
b.append(array[copyResult[i]]);
if (i == iMax)
return b.append(']').toString();
b.append(", ");
}
}
}
public class ThreeSumTest {
#Test
public void test() {
ThreeSum test = new ThreeSum();
test.calculate(100, 0, 3);
Assert.assertTrue(true);
}
}
Why does the code below return -1 instead of arr.length-1? If the find() method is looking for 24, it should return 5, but now it returns -1. It should only return -1 if n is not found in arr.
public class linearArraySearch {
public static void main(String[] args) {
int[] numbers = new int[]{ 12, 42, 56, 7, 99, 24, 6, 1, 5 };
System.out.println( find(numbers, 24) );
}
public static int find( int[] arr, int n ){
if( arr[arr.length-1] == n ){
return arr.length-1;
}else if( arr.length > 1 && arr[arr.length-1] != n ){
int[] temp = new int[arr.length-1];
for( int i = 0; i < temp.length; i++ ){
temp[i] = arr[i];
}
find( temp, n );
}
return -1;
}
}
You are ignoring the value returned by your recursive call.
You should change
find( temp, n );
to
return find( temp, n );
Presumably you want to actually do something with the result of find( temp, n ); but currently you don't. So your function only returns arr.length - 1 if n is the last element of arr and -1 in all other cases.
You are returning only two values from your function.
return arr.length-1;
in case arr[arr.length-1] == n
and return -1
So, you will only get the correct answer, if the number you are trying to find is located at the last index of your array.
About
else if( arr.length > 1 && arr[arr.length-1] != n ){
You do not need arr[arr.length-1] != n since you already have checked it and if the execution comes here, that means, arr[arr.length-1]] != n, otherwise, you have been returned from the first if.
You need to return the result of your function which you probably forgot or didn't realize to do.
return find (temp, n);
public class linearArraySearch {
public static void main(String[] args) {
int[] numbers = new int[]{ 12, 42, 56, 7, 99, 24, 6, 1, 5 };
System.out.println( find(numbers, 24) );
}
public static int find( int[] arr, int n ){
if( arr[arr.length-1] == n ){
return arr.length-1;
}
for( int i = 0; i < (arr.length-1); i++ ){
if(arr[i] == n) {
return i;
}
}
return -1;
}
}