def test_in_balanced_returns_true_when_tree_is_balanced():
    root = TreeNode(5)
    root.left = TreeNode(3)
    root.left.left = TreeNode(2)
    root.right = TreeNode(6)

    assert_true(is_balanced(root))
Пример #2
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def test_is_binary_search_tree_returns_true_given_valid_bst():
    bst = TreeNode(5)
    bst.left = TreeNode(3)
    bst.right = TreeNode(6)
    bst.left.left = TreeNode(2)
    bst.left.right = TreeNode(4)

    assert_true(is_binary_search_tree(bst))
Пример #3
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def test_successor_returns_successor_given_right_subtree_exists():
    bst = BinarySearchTree(5)
    bst.insert_node(TreeNode(8))
    bst.insert_node(TreeNode(7))
    successor_node = TreeNode(6)
    bst.insert_node(successor_node)

    assert_equal(successor(bst.root), successor_node)
def test_in_balance_returns_false_when_tree_not_balanced():
    root = TreeNode(5)
    root.left = TreeNode(3)
    root.left.left = TreeNode(2)
    root.left.left.left = TreeNode(1)
    root.right = TreeNode(6)

    assert_false(is_balanced(root))
Пример #5
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def test_successor_returns_none_given_leaf_of_right_most_branch():
    from_node = TreeNode(8)
    bst = BinarySearchTree(5)
    bst.insert_node(TreeNode(3))
    bst.insert_node(TreeNode(7))
    bst.insert_node(TreeNode(6))
    bst.insert_node(from_node)

    assert_is_none(successor(from_node))
Пример #6
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def test_successor_returns_next_parent_on_right_given_no_right_sub_tree_exists():
    bst = BinarySearchTree(5)
    successor_node = TreeNode(4)
    bst.insert_node(successor_node)
    bst.insert_node(TreeNode(2))
    from_node = TreeNode(3)
    bst.insert_node(from_node)

    assert_equal(successor(from_node), successor_node)
Пример #7
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def test_is_binary_search_tree_returns_false_given_invalid_bst():
    bst = TreeNode(5)
    bst.left = TreeNode(3)
    bst.right = TreeNode(6)
    bst.left.left = TreeNode(2)
    bst.left.right = TreeNode(
        40
    )  # This node violates the order property since it is greater than the root

    assert_false(is_binary_search_tree(bst))
Пример #8
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def test_successor_returns_parent_given_no_right_sub_tree_exists_parent_on_right():
    bst = BinarySearchTree(5)
    bst.insert_node(TreeNode(3))
    parent = TreeNode(8)
    bst.insert_node(parent)
    from_node = TreeNode(7)
    bst.insert_node(from_node)
    bst.insert_node(TreeNode(9))

    assert_equal(successor(from_node), parent)
Пример #9
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def test_list_of_depths_returns_populates_correctly_from_stick_tree():
    root = TreeNode(5)
    root.left = TreeNode(4)
    root.left.left = TreeNode(3)
    root.left.left.left = TreeNode(2)
    root.left.left.left.left = TreeNode(1)

    result = list_of_depths(root)
    expected = [[root], [root.left], [root.left.left], [root.left.left.left],
                [root.left.left.left.left]]

    assert_equal(result, expected)
Пример #10
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    def insert(self, data):
        """
        Inserts the data and maintains the order property in the tree

        Args:
            data: data to be inserted in a Tree

        """
        self._insert_node(TreeNode(data), self.root)
Пример #11
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def build_minimal_tree(arr):
    """Builds a tree of minimal height by recursively partitioning the array

    Args:
        arr: list from which to build the binary tree

    Returns:
        Binary Search Tree of minimal height
    """
    if len(arr) > 0:
        root_index = len(arr) // 2
        root = TreeNode(arr[root_index])
        root.left = build_minimal_tree(arr[:root_index])
        root.right = build_minimal_tree(arr[root_index + 1:])
        return root
    return None
Пример #12
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def test_list_of_depths_populates_from_multi_level_tree():
    root = TreeNode(5)
    root.left = TreeNode(2)
    root.left.left = TreeNode(1)
    root.left.right = TreeNode(3)
    root.left.right.right = TreeNode(4)
    root.right = TreeNode(6)

    result = list_of_depths(root)
    expected = [
        [root],
        [root.left, root.right],
        [root.left.left, root.left.right],
        [root.left.right.right],
    ]

    assert_equal(result, expected)
Пример #13
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 def __init__(self, data):
     """
     Args:
         data: data to be inserted at the root of the tree
     """
     self.root = TreeNode(data)