style: enabled InnerAssignment in checkstyle (#5162)

* style: enabled InnerAssignment in checkstyle

* Refactor code formatting in KnapsackMemoization.java and UnionFind.java

* style: remove redundant blank line

* style: mark `includeCurrentItem` and `excludeCurrentItem` as `final`

* style: remove `KnapsackMemoization` from `pmd-exclude.properties`

* style: use `final`

---------

Co-authored-by: Piotr Idzik <65706193+vil02@users.noreply.github.com>

src/main/java/com/thealgorithms/dynamicprogramming/KnapsackMemoization.java

@@ -40,8 +40,15 @@ public class KnapsackMemoization {
             dpTable[numOfItems][capacity] = solveKnapsackRecursive(capacity, weights, profits, numOfItems - 1, dpTable);
             return dpTable[numOfItems][capacity];
         } else {
-            // Return value of table after storing
-            return dpTable[numOfItems][capacity] = Math.max((profits[numOfItems - 1] + solveKnapsackRecursive(capacity - weights[numOfItems - 1], weights, profits, numOfItems - 1, dpTable)), solveKnapsackRecursive(capacity, weights, profits, numOfItems - 1, dpTable));
+            // case 1. include the item, if it is less than the capacity
+            final int includeCurrentItem = profits[numOfItems - 1] + solveKnapsackRecursive(capacity - weights[numOfItems - 1], weights, profits, numOfItems - 1, dpTable);
+
+            // case 2. exclude the item if it is more than the capacity
+            final int excludeCurrentItem = solveKnapsackRecursive(capacity, weights, profits, numOfItems - 1, dpTable);
+
+            // Store the value of function call stack in table and return
+            dpTable[numOfItems][capacity] = Math.max(includeCurrentItem, excludeCurrentItem);
+            return dpTable[numOfItems][capacity];
         }
     }
 }

src/main/java/com/thealgorithms/dynamicprogramming/LongestAlternatingSubsequence.java

@@ -34,7 +34,8 @@ public final class LongestAlternatingSubsequence {
         int[][] las = new int[n][2]; // las = LongestAlternatingSubsequence
 
         for (int i = 0; i < n; i++) {
-            las[i][0] = las[i][1] = 1;
+            las[i][0] = 1;
+            las[i][1] = 1;
         }
 
         int result = 1; // Initialize result

src/main/java/com/thealgorithms/dynamicprogramming/NewManShanksPrime.java

@@ -15,7 +15,8 @@ public final class NewManShanksPrime {
     public static boolean nthManShanksPrime(int n, int expected_answer) {
         int[] a = new int[n + 1];
         // array of n+1 size is initialized
-        a[0] = a[1] = 1;
+        a[0] = 1;
+        a[1] = 1;
         // The 0th and 1st index position values are fixed. They are initialized as 1
         for (int i = 2; i <= n; i++) {
             a[i] = 2 * a[i - 1] + a[i - 2];