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" This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges). "
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" # Solution Notebook "
]
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" ## Problem: Implement a binary search tree with an insert method. \n " ,
" \n " ,
" * [Constraints](#Constraints) \n " ,
" * [Test Cases](#Test-Cases) \n " ,
" * [Algorithm](#Algorithm) \n " ,
" * [Code](#Code) \n " ,
" * [Unit Test](#Unit-Test) "
]
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" ## Constraints \n " ,
" \n " ,
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" * Can we insert None values? \n " ,
" * No \n " ,
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" * Can we assume we are working with valid integers? \n " ,
" * Yes \n " ,
" * Can we assume all left descendents <= n < all right descendents? \n " ,
" * Yes \n " ,
" * For simplicity, can we use just a Node class without a wrapper Tree class? \n " ,
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" * Yes \n " ,
" * Do we have to keep track of the parent nodes? \n " ,
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" * This is optional \n " ,
" * Can we assume this fits in memory? \n " ,
" * Yes "
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" ## Test Cases \n " ,
" \n " ,
" ### Insert \n " ,
" \n " ,
" Insert will be tested through the following traversal: \n " ,
" \n " ,
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" ### In-Order Traversal \n " ,
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" \n " ,
" * 5, 2, 8, 1, 3 -> 1, 2, 3, 5, 8 \n " ,
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" * 1, 2, 3, 4, 5 -> 1, 2, 3, 4, 5 \n " ,
" \n " ,
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" If the `root` input is `None`, return a tree with the only element being the new root node. \n " ,
" \n " ,
" You do not have to code the in-order traversal, it is part of the unit test. "
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" ## Algorithm \n " ,
" \n " ,
" ### Insert \n " ,
" \n " ,
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" * If the root is None, return Node(data) \n " ,
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" * If the data is <= the current node ' s data \n " ,
" * If the current node ' s left child is None, set it to Node(data) \n " ,
" * Else, recursively call insert on the left child \n " ,
" * Else \n " ,
" * If the current node ' s right child is None, set it to Node(data) \n " ,
" * Else, recursively call insert on the right child \n " ,
" \n " ,
" Complexity: \n " ,
" \n " ,
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" * Time: O(h), where h is the height of the tree \n " ,
" * In a balanced tree, the height is O(nlogn) \n " ,
" * In the worst case we have a linked list structure with O(n) \n " ,
" * Space: O(m), where m is the recursion depth, or O(1) if using an iterative approach "
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" ## Code "
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" outputs " : [
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" name " : " stdout " ,
" output_type " : " stream " ,
" text " : [
" Overwriting bst.py \n "
]
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" source " : [
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" %% writefile bst.py \n " ,
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" class Node(object): \n " ,
" \n " ,
" def __init__(self, data): \n " ,
" self.data = data \n " ,
" self.left = None \n " ,
" self.right = None \n " ,
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" self.parent = None \n " ,
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" \n " ,
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" def __repr__(self): \n " ,
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" return str(self.data) \n " ,
" \n " ,
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" \n " ,
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" def insert(root, data): \n " ,
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" # Constraint: Assume we are working with valid ints \n " ,
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" if root is None: \n " ,
" root = Node(data) \n " ,
" return root \n " ,
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" if data <= root.data: \n " ,
" if root.left is None: \n " ,
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" root.left = insert(root.left, data) \n " ,
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" root.left.parent = root \n " ,
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" return root.left \n " ,
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" else: \n " ,
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" return insert(root.left, data) \n " ,
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" else: \n " ,
" if root.right is None: \n " ,
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" root.right = insert(root.right, data) \n " ,
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" root.right.parent = root \n " ,
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" return root.right \n " ,
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" else: \n " ,
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" return insert(root.right, data) "
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]
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" %r un bst.py "
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" ## Unit Test "
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" collapsed " : true
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" %r un dfs.py "
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" collapsed " : false
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" %r un ../utils/results.py "
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" Overwriting test_bst.py \n "
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" %% writefile test_bst.py \n " ,
" from nose.tools import assert_equal \n " ,
" \n " ,
" \n " ,
" class TestTree(object): \n " ,
" \n " ,
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" def __init__(self): \n " ,
" self.results = Results() \n " ,
" \n " ,
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" def test_tree(self): \n " ,
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" node = Node(5) \n " ,
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" assert_equal(insert(node, 2).data, 2) \n " ,
" assert_equal(insert(node, 8).data, 8) \n " ,
" assert_equal(insert(node, 1).data, 1) \n " ,
" assert_equal(insert(node, 3).data, 3) \n " ,
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" in_order_traversal(node, self.results.add_result) \n " ,
" assert_equal(str(self.results), ' [1, 2, 3, 5, 8] ' ) \n " ,
" self.results.clear_results() \n " ,
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" \n " ,
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" node = insert(None, 1) \n " ,
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" assert_equal(insert(node, 2).data, 2) \n " ,
" assert_equal(insert(node, 3).data, 3) \n " ,
" assert_equal(insert(node, 4).data, 4) \n " ,
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" insert(node, 5) \n " ,
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" in_order_traversal(node, self.results.add_result) \n " ,
" assert_equal(str(self.results), ' [1, 2, 3, 4, 5] ' ) \n " ,
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" \n " ,
" print( ' Success: test_tree ' ) \n " ,
" \n " ,
" \n " ,
" def main(): \n " ,
" test = TestTree() \n " ,
" test.test_tree() \n " ,
" \n " ,
" \n " ,
" if __name__ == ' __main__ ' : \n " ,
" main() "
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" Success: test_tree \n "
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" %r un -i test_bst.py "
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