style: include OCP_OVERLY_CONCRETE_PARAMETER (#5833)

spotbugs-exclude.xml

@@ -87,9 +87,6 @@
         <Bug pattern="RCN_REDUNDANT_NULLCHECK_OF_NONNULL_VALUE" />
     </Match>
     <!-- fb-contrib -->
-    <Match>
-        <Bug pattern="OCP_OVERLY_CONCRETE_PARAMETER" />
-    </Match>
     <Match>
         <Bug pattern="LSC_LITERAL_STRING_COMPARISON" />
     </Match>

src/main/java/com/thealgorithms/backtracking/CrosswordSolver.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.backtracking;
 
 import java.util.ArrayList;
+import java.util.Collection;
 import java.util.List;
 
 /**
@@ -95,7 +96,7 @@ public final class CrosswordSolver {
      * @param words  The list of words to be placed.
      * @return true if the crossword is solved, false otherwise.
      */
-    public static boolean solveCrossword(char[][] puzzle, List<String> words) {
+    public static boolean solveCrossword(char[][] puzzle, Collection<String> words) {
         // Create a mutable copy of the words list
         List<String> remainingWords = new ArrayList<>(words);
 

src/main/java/com/thealgorithms/datastructures/graphs/AStar.java

@@ -94,7 +94,7 @@ public final class AStar {
     }
 
     // Initializes the graph with edges defined in the input data
-    static void initializeGraph(Graph graph, ArrayList<Integer> data) {
+    static void initializeGraph(Graph graph, List<Integer> data) {
         for (int i = 0; i < data.size(); i += 4) {
             graph.addEdge(new Edge(data.get(i), data.get(i + 1), data.get(i + 2)));
         }

src/main/java/com/thealgorithms/datastructures/graphs/EdmondsBlossomAlgorithm.java

@@ -30,7 +30,7 @@ public final class EdmondsBlossomAlgorithm {
      * @param vertexCount The number of vertices in the graph.
      * @return A list of matched pairs of vertices.
      */
-    public static List<int[]> maximumMatching(List<int[]> edges, int vertexCount) {
+    public static List<int[]> maximumMatching(Iterable<int[]> edges, int vertexCount) {
         List<List<Integer>> graph = new ArrayList<>(vertexCount);
 
         // Initialize each vertex's adjacency list.

src/main/java/com/thealgorithms/datastructures/lists/MergeSortedArrayList.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.datastructures.lists;
 
 import java.util.ArrayList;
+import java.util.Collection;
 import java.util.List;
 
 /**
@@ -38,7 +39,7 @@ public final class MergeSortedArrayList {
      * @param listB the second list to merge
      * @param listC the result list after merging
      */
-    public static void merge(List<Integer> listA, List<Integer> listB, List<Integer> listC) {
+    public static void merge(List<Integer> listA, List<Integer> listB, Collection<Integer> listC) {
         int pa = 0;
         /* the index of listA */
         int pb = 0;

src/main/java/com/thealgorithms/geometry/ConvexHull.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.geometry;
 
 import java.util.ArrayList;
+import java.util.Collection;
 import java.util.Collections;
 import java.util.Comparator;
 import java.util.HashSet;
@@ -89,7 +90,7 @@ public final class ConvexHull {
         return result;
     }
 
-    private static void constructHull(List<Point> points, Point left, Point right, Set<Point> convexSet) {
+    private static void constructHull(Collection<Point> points, Point left, Point right, Set<Point> convexSet) {
         if (!points.isEmpty()) {
             Point extremePoint = null;
             int extremePointDistance = Integer.MIN_VALUE;

src/main/java/com/thealgorithms/maths/CircularConvolutionFFT.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.maths;
 
 import java.util.ArrayList;
+import java.util.Collection;
 
 /**
  * Class for circular convolution of two discrete signals using the convolution
@@ -19,7 +20,7 @@ public final class CircularConvolutionFFT {
      * @param x The signal to be padded.
      * @param newSize The new size of the signal.
      */
-    private static void padding(ArrayList<FFT.Complex> x, int newSize) {
+    private static void padding(Collection<FFT.Complex> x, int newSize) {
         if (x.size() < newSize) {
             int diff = newSize - x.size();
             for (int i = 0; i < diff; i++) {

src/main/java/com/thealgorithms/maths/ConvolutionFFT.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.maths;
 
 import java.util.ArrayList;
+import java.util.Collection;
 
 /**
  * Class for linear convolution of two discrete signals using the convolution
@@ -19,7 +20,7 @@ public final class ConvolutionFFT {
      * @param x The signal to be padded.
      * @param newSize The new size of the signal.
      */
-    private static void padding(ArrayList<FFT.Complex> x, int newSize) {
+    private static void padding(Collection<FFT.Complex> x, int newSize) {
         if (x.size() < newSize) {
             int diff = newSize - x.size();
             for (int i = 0; i < diff; i++) {

src/main/java/com/thealgorithms/maths/FFT.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.maths;
 
 import java.util.ArrayList;
+import java.util.Collection;
 import java.util.Collections;
 
 /**
@@ -274,7 +275,7 @@ public final class FFT {
      *
      * @param x The ArrayList to be padded.
      */
-    private static void paddingPowerOfTwo(ArrayList<Complex> x) {
+    private static void paddingPowerOfTwo(Collection<Complex> x) {
         int n = 1;
         int oldSize = x.size();
         while (n < oldSize) {

src/main/java/com/thealgorithms/maths/FFTBluestein.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.maths;
 
 import java.util.ArrayList;
+import java.util.List;
 
 /**
  * Class for calculating the Fast Fourier Transform (FFT) of a discrete signal
@@ -25,7 +26,7 @@ public final class FFTBluestein {
      * IFFT of signal x.
      * @param inverse True if you want to find the inverse FFT.
      */
-    public static void fftBluestein(ArrayList<FFT.Complex> x, boolean inverse) {
+    public static void fftBluestein(List<FFT.Complex> x, boolean inverse) {
         int n = x.size();
         int bnSize = 2 * n - 1;
         int direction = inverse ? -1 : 1;

src/main/java/com/thealgorithms/maths/Gaussian.java

@@ -1,12 +1,13 @@
 package com.thealgorithms.maths;
 
 import java.util.ArrayList;
+import java.util.List;
 
 public final class Gaussian {
     private Gaussian() {
     }
 
-    public static ArrayList<Double> gaussian(int matSize, ArrayList<Double> matrix) {
+    public static ArrayList<Double> gaussian(int matSize, List<Double> matrix) {
         int i;
         int j = 0;
 

src/main/java/com/thealgorithms/maths/NthUglyNumber.java

@@ -2,6 +2,7 @@ package com.thealgorithms.maths;
 
 import java.util.ArrayList;
 import java.util.Arrays;
+import java.util.Map;
 import org.apache.commons.lang3.tuple.MutablePair;
 
 /**
@@ -64,7 +65,7 @@ public class NthUglyNumber {
         }
     }
 
-    private long computeCandidate(final MutablePair<Integer, Integer> entry) {
+    private long computeCandidate(final Map.Entry<Integer, Integer> entry) {
         return entry.getKey() * uglyNumbers.get(entry.getValue());
     }
 

src/main/java/com/thealgorithms/misc/MedianOfMatrix.java

@@ -13,7 +13,7 @@ public final class MedianOfMatrix {
     private MedianOfMatrix() {
     }
 
-    public static int median(List<List<Integer>> matrix) {
+    public static int median(Iterable<List<Integer>> matrix) {
         // Flatten the matrix into a 1D list
         List<Integer> linear = new ArrayList<>();
         for (List<Integer> row : matrix) {

src/main/java/com/thealgorithms/misc/PalindromeSinglyLinkedList.java

@@ -1,6 +1,5 @@
 package com.thealgorithms.misc;
 
-import com.thealgorithms.datastructures.lists.SinglyLinkedList;
 import java.util.Stack;
 
 /**
@@ -15,8 +14,8 @@ public final class PalindromeSinglyLinkedList {
     private PalindromeSinglyLinkedList() {
     }
 
-    public static boolean isPalindrome(final SinglyLinkedList linkedList) {
+    public static boolean isPalindrome(final Iterable linkedList) {
-        Stack<Integer> linkedListValues = new Stack<>();
+        var linkedListValues = new Stack<>();
 
         for (final var x : linkedList) {
             linkedListValues.push(x);

src/main/java/com/thealgorithms/others/KochSnowflake.java

@@ -7,6 +7,7 @@ import java.awt.image.BufferedImage;
 import java.io.File;
 import java.io.IOException;
 import java.util.ArrayList;
+import java.util.List;
 import javax.imageio.ImageIO;
 
 /**
@@ -125,7 +126,7 @@ public final class KochSnowflake {
      * applied.
      * @return The transformed vectors after the iteration-step.
      */
-    private static ArrayList<Vector2> iterationStep(ArrayList<Vector2> vectors) {
+    private static ArrayList<Vector2> iterationStep(List<Vector2> vectors) {
         ArrayList<Vector2> newVectors = new ArrayList<Vector2>();
         for (int i = 0; i < vectors.size() - 1; i++) {
             Vector2 startVector = vectors.get(i);

src/main/java/com/thealgorithms/scheduling/PreemptivePriorityScheduling.java

@@ -2,6 +2,7 @@ package com.thealgorithms.scheduling;
 
 import com.thealgorithms.devutils.entities.ProcessDetails;
 import java.util.ArrayList;
+import java.util.Collection;
 import java.util.Comparator;
 import java.util.List;
 import java.util.PriorityQueue;
@@ -15,7 +16,7 @@ public class PreemptivePriorityScheduling {
     protected final List<ProcessDetails> processes;
     protected final List<String> ganttChart;
 
-    public PreemptivePriorityScheduling(List<ProcessDetails> processes) {
+    public PreemptivePriorityScheduling(Collection<ProcessDetails> processes) {
         this.processes = new ArrayList<>(processes);
         this.ganttChart = new ArrayList<>();
     }

src/main/java/com/thealgorithms/scheduling/SJFScheduling.java

@@ -2,6 +2,7 @@ package com.thealgorithms.scheduling;
 
 import com.thealgorithms.devutils.entities.ProcessDetails;
 import java.util.ArrayList;
+import java.util.List;
 
 /**
  * Implementation of Shortest Job First Algorithm: The algorithm allows the waiting process with the
@@ -87,7 +88,7 @@ public class SJFScheduling {
      * @return returns the process' with the shortest burst time OR NULL if there are no ready
      *     processes
      */
-    private ProcessDetails findShortestJob(ArrayList<ProcessDetails> readyProcesses) {
+    private ProcessDetails findShortestJob(List<ProcessDetails> readyProcesses) {
         if (readyProcesses.isEmpty()) {
             return null;
         }

src/main/java/com/thealgorithms/scheduling/diskscheduling/SSFScheduling.java

@@ -1,6 +1,7 @@
 package com.thealgorithms.scheduling.diskscheduling;
 
 import java.util.ArrayList;
+import java.util.Collection;
 import java.util.List;
 
 /**
@@ -24,7 +25,7 @@ public class SSFScheduling {
         this.currentPosition = currentPosition;
     }
 
-    public List<Integer> execute(List<Integer> requests) {
+    public List<Integer> execute(Collection<Integer> requests) {
         List<Integer> result = new ArrayList<>(requests);
         List<Integer> orderedRequests = new ArrayList<>();
 

src/main/java/com/thealgorithms/sorts/BucketSort.java

@@ -79,7 +79,7 @@ public class BucketSort implements SortAlgorithm {
      * @param <T> the type of elements in the array
      * @return the sorted array
      */
-    private <T extends Comparable<T>> T[] concatenateBuckets(List<List<T>> buckets, T[] array) {
+    private <T extends Comparable<T>> T[] concatenateBuckets(Iterable<List<T>> buckets, T[] array) {
         int index = 0;
         for (List<T> bucket : buckets) {
             Collections.sort(bucket);

src/main/java/com/thealgorithms/sorts/PatienceSort.java

@@ -72,7 +72,7 @@ public class PatienceSort implements SortAlgorithm {
      * @param <T> the type of elements in the piles, must be comparable
      * @return a priority queue containing the top element of each pile
      */
-    private static <T extends Comparable<T>> PriorityQueue<PileNode<T>> mergePiles(final List<List<T>> piles) {
+    private static <T extends Comparable<T>> PriorityQueue<PileNode<T>> mergePiles(final Iterable<List<T>> piles) {
         PriorityQueue<PileNode<T>> pq = new PriorityQueue<>();
         for (List<T> pile : piles) {
             pq.add(new PileNode<>(pile.removeLast(), pile));

src/main/java/com/thealgorithms/sorts/PigeonholeSort.java

@@ -78,7 +78,7 @@ public final class PigeonholeSort {
      * @param array the array to be sorted
      * @param pigeonHoles the populated pigeonholes
      */
-    private static void collectFromPigeonHoles(int[] array, List<List<Integer>> pigeonHoles) {
+    private static void collectFromPigeonHoles(int[] array, Iterable<List<Integer>> pigeonHoles) {
         int index = 0;
         for (final var pigeonHole : pigeonHoles) {
             for (final int element : pigeonHole) {

src/main/java/com/thealgorithms/sorts/TreeSort.java

@@ -51,7 +51,7 @@ public class TreeSort implements SortAlgorithm {
         return unsortedArray;
     }
 
-    private <T extends Comparable<T>> List<T> doTreeSortList(List<T> unsortedList) {
+    private <T extends Comparable<T>> List<T> doTreeSortList(Iterable<T> unsortedList) {
         // create a generic BST tree
         BSTRecursiveGeneric<T> tree = new BSTRecursiveGeneric<T>();
 

src/main/java/com/thealgorithms/strings/WordLadder.java

@@ -1,8 +1,8 @@
 package com.thealgorithms.strings;
 
+import java.util.Collection;
 import java.util.HashSet;
 import java.util.LinkedList;
-import java.util.List;
 import java.util.Queue;
 import java.util.Set;
 
@@ -22,7 +22,7 @@ public final class WordLadder {
      * @param wordList a list of words that can be used in the transformation sequence
      * @return the number of words in the shortest transformation sequence, or 0 if no such sequence exists
      */
-    public static int ladderLength(String beginWord, String endWord, List<String> wordList) {
+    public static int ladderLength(String beginWord, String endWord, Collection<String> wordList) {
         Set<String> wordSet = new HashSet<>(wordList);
 
         if (!wordSet.contains(endWord)) {

src/test/java/com/thealgorithms/datastructures/graphs/BoruvkaAlgorithmTest.java

@@ -183,7 +183,7 @@ public class BoruvkaAlgorithmTest {
      * @param result list of edges in the Minimum Spanning Tree
      * @return the total weight of the Minimum Spanning Tree
      */
-    int computeTotalWeight(final List<BoruvkaAlgorithm.Edge> result) {
+    int computeTotalWeight(final Iterable<BoruvkaAlgorithm.Edge> result) {
         int totalWeight = 0;
         for (final var edge : result) {
             totalWeight += edge.weight;

src/test/java/com/thealgorithms/datastructures/graphs/EdmondsBlossomAlgorithmTest.java

@@ -5,6 +5,7 @@ import static org.junit.jupiter.api.Assertions.assertEquals;
 import static org.junit.jupiter.api.Assertions.assertTrue;
 
 import java.util.Arrays;
+import java.util.Collection;
 import java.util.Collections;
 import java.util.List;
 import org.junit.jupiter.api.Test;
@@ -25,7 +26,7 @@ public class EdmondsBlossomAlgorithmTest {
      * @param matching List of matched pairs returned by the algorithm.
      * @return A sorted 2D array of matching pairs.
      */
-    private int[][] convertMatchingToArray(List<int[]> matching) {
+    private int[][] convertMatchingToArray(Collection<int[]> matching) {
         // Convert the list of pairs into an array
         int[][] result = matching.toArray(new int[0][]);
 

src/test/java/com/thealgorithms/misc/WordBoggleTest.java

@@ -4,6 +4,7 @@ import static org.junit.jupiter.api.Assertions.assertEquals;
 import static org.junit.jupiter.api.Assertions.assertTrue;
 
 import java.util.Arrays;
+import java.util.Collection;
 import java.util.List;
 import java.util.stream.Stream;
 import org.junit.jupiter.api.BeforeEach;
@@ -44,7 +45,7 @@ class WordBoggleTest {
 
     @ParameterizedTest
     @MethodSource("provideSpecialCases")
-    void testBoggleBoardSpecialCases(char[][] specialBoard, String[] words, List<String> expectedWords, String testDescription) {
+    void testBoggleBoardSpecialCases(char[][] specialBoard, String[] words, Collection<String> expectedWords, String testDescription) {
         List<String> result = WordBoggle.boggleBoard(specialBoard, words);
         assertEquals(expectedWords.size(), result.size(), "Test failed for: " + testDescription);
         assertTrue(expectedWords.containsAll(result), "Test failed for: " + testDescription);

src/test/java/com/thealgorithms/scheduling/PreemptivePrioritySchedulingTest.java

@@ -3,6 +3,7 @@ package com.thealgorithms.scheduling;
 import static org.junit.jupiter.api.Assertions.assertEquals;
 
 import com.thealgorithms.devutils.entities.ProcessDetails;
+import java.util.Collection;
 import java.util.List;
 import java.util.stream.Stream;
 import org.junit.jupiter.params.ParameterizedTest;
@@ -17,7 +18,7 @@ import org.junit.jupiter.params.provider.MethodSource;
 class PreemptivePrioritySchedulingTest {
     @ParameterizedTest
     @MethodSource("provideProcessesAndExpectedSchedules")
-    void testPreemptivePriorityScheduling(List<ProcessDetails> processes, List<String> expectedSchedule) {
+    void testPreemptivePriorityScheduling(Collection<ProcessDetails> processes, List<String> expectedSchedule) {
         PreemptivePriorityScheduling scheduler = new PreemptivePriorityScheduling(processes);
         scheduler.scheduleProcesses();
         assertEquals(expectedSchedule, scheduler.ganttChart);

src/test/java/com/thealgorithms/searches/QuickSelectTest.java

@@ -4,6 +4,7 @@ import static org.junit.jupiter.api.Assertions.assertEquals;
 import static org.junit.jupiter.api.Assertions.assertThrows;
 
 import java.util.Arrays;
+import java.util.Collection;
 import java.util.Collections;
 import java.util.Comparator;
 import java.util.List;
@@ -225,7 +226,7 @@ class QuickSelectTest {
         return RANDOM.ints(n, ASCII_A, ASCII_Z).mapToObj(i -> (char) i).collect(Collectors.toList());
     }
 
-    private static <T extends Comparable<T>> List<T> getSortedCopyOfList(List<T> list) {
+    private static <T extends Comparable<T>> List<T> getSortedCopyOfList(Collection<T> list) {
         return list.stream().sorted().collect(Collectors.toList());
     }
 }