Leaves - Bri #47
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CheezItMan
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Mar 18, 2020
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Some good things here, take a look at my comments and let me know what questions you have.
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| # Time Complexity: | ||
| # Space Complexity: | ||
| def add_helper(node, key, value) |
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| # Time Complexity: O(1) | ||
| # Space Complexity: O(1) | ||
| def add(key, value) |
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Since add_helper has a time/space complexity of O(log n), this method does as well.
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def find(key) |
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Remember that Binary search trees do binary search with a find, so it's O(log n) for time/space.
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def inorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def preorder |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def postorder |
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| # Time Complexity: | ||
| # Space Complexity: | ||
| def height |
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👍 But no guesses on time/space compexity?
| # Time Complexity: | ||
| # Space Complexity: | ||
| # Space Complexity: | ||
| def bfs |
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