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Kristy, Branches #35

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kristyh32
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@CheezItMan CheezItMan left a comment

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Nice work, you hit the basic learning goals, with some issues on space/time complexity. Check out my comments and let me know if you have any questions.

Comment on lines +19 to -22
# Time Complexity: O(n)
# Space Complexity: O(n)
def add(key, value)
raise NotImplementedError

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The space/time complexity is O(log n) if the tree is balanced and O(n) if it's not.

Comment on lines +35 to 37
# Time Complexity: O(log n)
# Space Complexity: O(log n)
def find(key)

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👍

Comment on lines +51 to 53
# Time Complexity: O(n)
# Space Complexity: O(n)
def inorder

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👍

Comment on lines +67 to 69
# Time Complexity: O(n)
# Space Complexity: O(n)
def preorder

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👍

Comment on lines +81 to 83
# Time Complexity: O(n)
# Space Complexity: O(n)
def postorder

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👍

Comment on lines +95 to 97
# Time Complexity: O(n)
# Space Complexity: O(n)
def height

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Since you're visiting each node, the time complexity is right, but the space complexity is O(log n) for a balanced tree since the call stack never gets greater than height of the tree.

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2 participants