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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: Create a binary search tree with minimal height from a sorted array. \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 " ,
" * Is the array in increasing order? \n " ,
" * Yes \n " ,
" * Are the array elements unique? \n " ,
" * Yes \n " ,
" * Can we assume we already have a Node class with an insert method? \n " ,
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" * Yes \n " ,
" * Can we assume this fits memory? \n " ,
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" * Yes "
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" ## Test Cases \n " ,
" \n " ,
" * 0, 1, 2, 3, 4, 5, 6 -> height 3 \n " ,
" * 0, 1, 2, 3, 4, 5, 6, 7 -> height 4 "
]
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" ## Algorithm \n " ,
" \n " ,
" To create a bst with minimum height, we need to use the middle element as the root. We ' ll use recursion to divide the array in half and continue to pick the middle element from the left and right halves as the nodes to insert in the tree. \n " ,
" \n " ,
" * create_min_bst(array, start, end) \n " ,
" * Base case: Stop when end < start \n " ,
" * Create a node with the mid element \n " ,
" * Recursively build node.left by calling create_min_bst using the left sub array \n " ,
" * Recursively build node.right by calling create_min_bst using the right sub array \n " ,
" * Return the node \n " ,
" \n " ,
" Complexity: \n " ,
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" * Time: O(n) \n " ,
" * Space: O(h), where h is the tree ' s height (since this is a tree with minimum height, h = log n) "
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" ## Code "
]
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" collapsed " : true
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" source " : [
" %r un ../bst/bst.py "
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" from __future__ import division \n " ,
" \n " ,
" \n " ,
" def create_min_bst(array): \n " ,
" if array is None: \n " ,
" return \n " ,
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" return _create_min_bst(array, 0, len(array)-1) \n " ,
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" \n " ,
" \n " ,
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" def _create_min_bst(array, start, end): \n " ,
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" if end < start: \n " ,
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" return None \n " ,
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" mid = (start + end) // 2 \n " ,
" node = Node(array[mid]) \n " ,
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" node.left = _create_min_bst(array, start, mid-1) \n " ,
" node.right = _create_min_bst(array, mid+1, end) \n " ,
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" return node "
]
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" source " : [
" ## Unit Test "
]
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{
" cell_type " : " code " ,
" execution_count " : 3 ,
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" collapsed " : true
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" outputs " : [ ] ,
" source " : [
" %r un ../tree_height/height.py "
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" cell_type " : " code " ,
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" Overwriting test_bst_min.py \n "
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" source " : [
" %% writefile test_bst_min.py \n " ,
" from nose.tools import assert_equal \n " ,
" \n " ,
" \n " ,
" class TestBstMin(object): \n " ,
" \n " ,
" def test_bst_min(self): \n " ,
" array = [0, 1, 2, 3, 4, 5, 6] \n " ,
" root = create_min_bst(array) \n " ,
" assert_equal(height(root), 3) \n " ,
" \n " ,
" array = [0, 1, 2, 3, 4, 5, 6, 7] \n " ,
" root = create_min_bst(array) \n " ,
" assert_equal(height(root), 4) \n " ,
" \n " ,
" print( ' Success: test_bst_min ' ) \n " ,
" \n " ,
" \n " ,
" def main(): \n " ,
" test = TestBstMin() \n " ,
" test.test_bst_min() \n " ,
" \n " ,
" \n " ,
" if __name__ == ' __main__ ' : \n " ,
" main() "
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" Success: test_bst_min \n "
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" source " : [
" %r un -i test_bst_min.py "
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