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CheezItMan
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Nice work Denisse, you hit all the learning goals here. Well done.
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| # Time Complexity: O(n log n) | ||
| # Space Complexity: O(n) | ||
| def heapsort(list) |
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add(key, value = key) |
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👍 Due to the recursion the space complexity is O(log n)
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(log n) | ||
| def remove() |
| # Space complexity: ? | ||
| # Time complexity: O(1) | ||
| # Space complexity: O(1) | ||
| def empty? |
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| # Time complexity: O(log n) | ||
| # Space complexity: O(log n) | ||
| def heap_up(index) |
| # This helper method takes an index and | ||
| # moves it up the heap if it's smaller | ||
| # than it's parent node. | ||
| def heap_down(index) |
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Heaps Practice
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Comprehension Questions
heap_up&heap_downmethods useful? Why?