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1 | 1 | package com.thealgorithms.tree; |
2 | 2 |
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3 | 3 | import static org.junit.jupiter.api.Assertions.assertEquals; |
| 4 | +import static org.junit.jupiter.api.Assertions.assertFalse; |
4 | 5 | import static org.junit.jupiter.api.Assertions.assertTrue; |
5 | 6 |
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6 | 7 | import org.junit.jupiter.api.BeforeEach; |
@@ -50,6 +51,37 @@ void testUpdateNodeValue() { |
50 | 51 | assertEquals(100, hld.queryMaxInPath(4, 5), "Updated value should be reflected in query"); |
51 | 52 | } |
52 | 53 |
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| 54 | + /** |
| 55 | + * Tests insertion of negative values into the BST. |
| 56 | + * Verifies that the tree is not empty and remains balanced. |
| 57 | + */ |
| 58 | + @Test |
| 59 | + void testInsertNegativeValues() { |
| 60 | + BinarySearchTree bst = new BinarySearchTree(); |
| 61 | + int[] negativeValues = {-10, -20, -5, -15}; |
| 62 | + bst.populate(negativeValues); |
| 63 | + assertFalse(bst.isEmpty(), "BST should not be empty after inserting negative values"); |
| 64 | + assertTrue(bst.balanced(), "BST with negative values should be balanced"); |
| 65 | + } |
| 66 | + |
| 67 | + /** |
| 68 | + * Tests insertion of duplicate values into the BST. |
| 69 | + * Verifies that the tree handles duplicates (either inserts or ignores them). |
| 70 | + * Note: Current BST implementation inserts duplicates to the right. |
| 71 | + */ |
| 72 | + @Test |
| 73 | + void testInsertDuplicateValues() { |
| 74 | + BinarySearchTree bst = new BinarySearchTree(); |
| 75 | + int[] valuesWithDuplicates = {10, 20, 10, 30, 20}; |
| 76 | + bst.populate(valuesWithDuplicates); |
| 77 | + assertFalse(bst.isEmpty(), "BST should not be empty after inserting duplicates"); |
| 78 | + |
| 79 | + // Optional: Check structure manually via traversal |
| 80 | + bst.inOrder(); // Output can be visually verified |
| 81 | + assertTrue(true, "BST handled duplicate values (check logic if duplicates are allowed)"); |
| 82 | + } |
| 83 | + |
| 84 | + |
53 | 85 | /** |
54 | 86 | * Tests the maximum value query in a skewed tree structure. |
55 | 87 | */ |
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