refactor: MaximumSumOfDistinctSubarraysWithLengthK
(#5433)
* refactor: MaximumSumOfDistinctSubarraysWithLengthK * checkstyle: fix formatting * checkstyle: fix formatting * checkstyle: fix formatting --------- Co-authored-by: alxkm <alx@alx.com>
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@ -1,55 +1,53 @@
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package com.thealgorithms.others;
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import java.util.HashSet;
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import java.util.Set;
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/*
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References: https://en.wikipedia.org/wiki/Streaming_algorithm
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* In this model, the function of interest is computing over a fixed-size window in the stream. As the stream progresses,
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* items from the end of the window are removed from consideration while new items from the stream take their place.
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/**
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* References: https://en.wikipedia.org/wiki/Streaming_algorithm
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*
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* This model involves computing the maximum sum of subarrays of a fixed size \( K \) from a stream of integers.
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* As the stream progresses, elements from the end of the window are removed, and new elements from the stream are added.
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*
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* @author Swarga-codes (https://github.com/Swarga-codes)
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*/
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public final class MaximumSumOfDistinctSubarraysWithLengthK {
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private MaximumSumOfDistinctSubarraysWithLengthK() {
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}
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/*
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* Returns the maximum sum of subarray of size K consisting of distinct
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* elements.
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/**
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* Finds the maximum sum of a subarray of size K consisting of distinct elements.
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*
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* @param k size of the subarray which should be considered from the given
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* array.
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* @param k The size of the subarray.
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* @param nums The array from which subarrays will be considered.
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*
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* @param nums is the array from which we would be finding the required
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* subarray.
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*
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* @return the maximum sum of distinct subarray of size K.
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* @return The maximum sum of any distinct-element subarray of size K. If no such subarray exists, returns 0.
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*/
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public static long maximumSubarraySum(int k, int... nums) {
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if (nums.length < k) {
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return 0;
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}
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long max = 0; // this will store the max sum which will be our result
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long s = 0; // this will store the sum of every k elements which can be used to compare with
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// max
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HashSet<Integer> set = new HashSet<>(); // this can be used to store unique elements in our subarray
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// Looping through k elements to get the sum of first k elements
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long masSum = 0; // Variable to store the maximum sum of distinct subarrays
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long currentSum = 0; // Variable to store the sum of the current subarray
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Set<Integer> currentSet = new HashSet<>(); // Set to track distinct elements in the current subarray
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// Initialize the first window
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for (int i = 0; i < k; i++) {
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s += nums[i];
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set.add(nums[i]);
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currentSum += nums[i];
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currentSet.add(nums[i]);
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}
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// Checking if the first kth subarray contains unique elements or not if so then
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// we assign that to max
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if (set.size() == k) {
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max = s;
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// If the first window contains distinct elements, update maxSum
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if (currentSet.size() == k) {
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masSum = currentSum;
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}
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// Looping through the rest of the array to find different subarrays and also
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// utilising the sliding window algorithm to find the sum
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// in O(n) time complexity
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// Slide the window across the array
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for (int i = 1; i < nums.length - k + 1; i++) {
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s = s - nums[i - 1];
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s = s + nums[i + k - 1];
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// Update the sum by removing the element that is sliding out and adding the new element
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currentSum = currentSum - nums[i - 1];
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currentSum = currentSum + nums[i + k - 1];
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int j = i;
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boolean flag = false; // flag value which says that the subarray contains distinct elements
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while (j < i + k && set.size() < k) {
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while (j < i + k && currentSet.size() < k) {
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if (nums[i - 1] == nums[j]) {
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flag = true;
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break;
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@ -58,17 +56,14 @@ public final class MaximumSumOfDistinctSubarraysWithLengthK {
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}
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}
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if (!flag) {
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set.remove(nums[i - 1]);
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currentSet.remove(nums[i - 1]);
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}
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set.add(nums[i + k - 1]);
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// if the subarray contains distinct elements then we compare and update the max
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// value
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if (set.size() == k) {
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if (max < s) {
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max = s;
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currentSet.add(nums[i + k - 1]);
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// If the current window has distinct elements, compare and possibly update maxSum
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if (currentSet.size() == k && masSum < currentSum) {
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masSum = currentSum;
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}
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}
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}
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return max; // the final maximum sum
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return masSum; // the final maximum sum
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}
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}
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@ -2,31 +2,21 @@ package com.thealgorithms.others;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import org.junit.jupiter.api.Test;
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import java.util.stream.Stream;
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import org.junit.jupiter.params.ParameterizedTest;
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import org.junit.jupiter.params.provider.Arguments;
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import org.junit.jupiter.params.provider.MethodSource;
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public class MaximumSumOfDistinctSubarraysWithLengthKTest {
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@Test
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public void sampleTestCase1() {
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assertEquals(15, MaximumSumOfDistinctSubarraysWithLengthK.maximumSubarraySum(3, 1, 5, 4, 2, 9, 9, 9));
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@ParameterizedTest
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@MethodSource("inputStream")
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void testMaximumSubarraySum(int expected, int k, int[] arr) {
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assertEquals(expected, MaximumSumOfDistinctSubarraysWithLengthK.maximumSubarraySum(k, arr));
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}
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@Test
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public void sampleTestCase2() {
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assertEquals(0, MaximumSumOfDistinctSubarraysWithLengthK.maximumSubarraySum(3, 4, 4, 4));
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}
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@Test
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public void sampleTestCase3() {
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assertEquals(12, MaximumSumOfDistinctSubarraysWithLengthK.maximumSubarraySum(3, 9, 9, 9, 1, 2, 3));
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}
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@Test
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public void edgeCase1() {
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assertEquals(0, MaximumSumOfDistinctSubarraysWithLengthK.maximumSubarraySum(0, 9, 9, 9));
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}
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@Test
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public void edgeCase2() {
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assertEquals(0, MaximumSumOfDistinctSubarraysWithLengthK.maximumSubarraySum(5, 9, 9, 9));
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private static Stream<Arguments> inputStream() {
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return Stream.of(Arguments.of(15, 3, new int[] {1, 5, 4, 2, 9, 9, 9}), Arguments.of(0, 3, new int[] {4, 4, 4}), Arguments.of(12, 3, new int[] {9, 9, 9, 1, 2, 3}), Arguments.of(0, 0, new int[] {9, 9, 9}), Arguments.of(0, 5, new int[] {9, 9, 9}), Arguments.of(9, 1, new int[] {9, 2, 3, 7}),
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Arguments.of(15, 5, new int[] {1, 2, 3, 4, 5}), Arguments.of(6, 3, new int[] {-1, 2, 3, 1, -2, 4}), Arguments.of(10, 1, new int[] {10}), Arguments.of(0, 2, new int[] {7, 7, 7, 7}), Arguments.of(0, 3, new int[] {}), Arguments.of(0, 10, new int[] {1, 2, 3}));
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}
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}
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