Solve InterviewCake's balanced-binary-tree problem
Write a predicate for determining if a binary tree is "super balanced", which means that the depths of all of the tree's leaves are equal or differ by at most one.
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126
scratch/deepmind/part_two/balanced-binary-tree.py
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126
scratch/deepmind/part_two/balanced-binary-tree.py
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import unittest
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from collections import deque
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# is_balanced :: Node(a) -> Bool
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def is_balanced(node):
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q = deque()
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q.append((0, node))
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mn, mx = None, None
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while q:
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depth, node = q.popleft()
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# Current node is a leaf node
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if not node.left and not node.right:
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mx = depth if mx is None else max(mx, depth)
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mn = depth if mn is None else min(mn, depth)
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if mx - mn > 1:
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return False
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if node.left:
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q.append((depth + 1, node.left))
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if node.right:
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q.append((depth + 1, node.right))
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return mx - mn <= 1
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# Tests
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class Test(unittest.TestCase):
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class BinaryTreeNode(object):
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def __init__(self, value):
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self.value = value
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self.left = None
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self.right = None
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def insert_left(self, value):
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self.left = Test.BinaryTreeNode(value)
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return self.left
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def insert_right(self, value):
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self.right = Test.BinaryTreeNode(value)
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return self.right
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def test_full_tree(self):
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tree = Test.BinaryTreeNode(5)
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left = tree.insert_left(8)
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right = tree.insert_right(6)
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left.insert_left(1)
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left.insert_right(2)
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right.insert_left(3)
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right.insert_right(4)
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result = is_balanced(tree)
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self.assertTrue(result)
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def test_both_leaves_at_the_same_depth(self):
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tree = Test.BinaryTreeNode(3)
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left = tree.insert_left(4)
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right = tree.insert_right(2)
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left.insert_left(1)
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right.insert_right(9)
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result = is_balanced(tree)
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self.assertTrue(result)
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def test_leaf_heights_differ_by_one(self):
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tree = Test.BinaryTreeNode(6)
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left = tree.insert_left(1)
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right = tree.insert_right(0)
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right.insert_right(7)
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result = is_balanced(tree)
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self.assertTrue(result)
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def test_leaf_heights_differ_by_two(self):
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tree = Test.BinaryTreeNode(6)
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left = tree.insert_left(1)
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right = tree.insert_right(0)
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right_right = right.insert_right(7)
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right_right.insert_right(8)
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result = is_balanced(tree)
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self.assertFalse(result)
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def test_three_leaves_total(self):
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tree = Test.BinaryTreeNode(1)
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left = tree.insert_left(5)
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right = tree.insert_right(9)
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right.insert_left(8)
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right.insert_right(5)
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result = is_balanced(tree)
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self.assertTrue(result)
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def test_both_subtrees_superbalanced(self):
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tree = Test.BinaryTreeNode(1)
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left = tree.insert_left(5)
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right = tree.insert_right(9)
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right_left = right.insert_left(8)
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right.insert_right(5)
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right_left.insert_left(7)
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result = is_balanced(tree)
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self.assertFalse(result)
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def test_both_subtrees_superbalanced_two(self):
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tree = Test.BinaryTreeNode(1)
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left = tree.insert_left(2)
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right = tree.insert_right(4)
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left.insert_left(3)
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left_right = left.insert_right(7)
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left_right.insert_right(8)
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right_right = right.insert_right(5)
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right_right_right = right_right.insert_right(6)
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right_right_right.insert_right(9)
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result = is_balanced(tree)
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self.assertFalse(result)
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def test_only_one_node(self):
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tree = Test.BinaryTreeNode(1)
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result = is_balanced(tree)
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self.assertTrue(result)
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def test_linked_list_tree(self):
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tree = Test.BinaryTreeNode(1)
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right = tree.insert_right(2)
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right_right = right.insert_right(3)
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right_right.insert_right(4)
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result = is_balanced(tree)
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self.assertTrue(result)
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unittest.main(verbosity=2)
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@ -21,7 +21,7 @@
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** DONE Top Scores
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** DONE Top Scores
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** DONE Merging Meeting Times
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** DONE Merging Meeting Times
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* Trees and graphs
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* Trees and graphs
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** TODO Balanced Binary Tree
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** DONE Balanced Binary Tree
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** TODO Binary Search Tree Checker
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** TODO Binary Search Tree Checker
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** TODO 2nd Largest Item in a Binary Search Tree
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** TODO 2nd Largest Item in a Binary Search Tree
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** TODO Graph Coloring
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** TODO Graph Coloring
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@ -32,7 +32,7 @@
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** TODO Compute nth Fibonacci Number
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** TODO Compute nth Fibonacci Number
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** TODO Making Change
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** TODO Making Change
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** TODO The Cake Thief
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** TODO The Cake Thief
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** TODO Balanced Binary Tree
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** DONE Balanced Binary Tree
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** TODO Binary Search Tree Checker
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** TODO Binary Search Tree Checker
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** TODO 2nd Largest Item in a Binary Search Tree
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** TODO 2nd Largest Item in a Binary Search Tree
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* Queues and stacks
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* Queues and stacks
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