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kyra-patton
reviewed
Jun 1, 2022
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| def heap_sort(list): | ||
| def heap_sort(l): |
| Time Complexity: ? | ||
| Space Complexity: ? | ||
| Time Complexity: O(log n) where n is the length of self.store (??) | ||
| Space Complexity: O(1) |
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✨ Nice job on the time complexity, however space complexity would also be O(log n) because of the recursive call stack created by heap_up
| else: | ||
| return | ||
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| def remove(self): |
| return f"[{', '.join([str(element) for element in self.store])}]" | ||
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| def empty(self): |
| This could be **very** helpful for the add method. | ||
| Time complexity: O(log n) where n is the length of self.store (??) | ||
| Space complexity: O(1) |
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✨ However because of heap_up's recursive call, space complexity is O(log n).
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| return removed.value | ||
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| def heap_down(self, index): |
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Heaps Practice
Congratulations! You're submitting your assignment!
Comprehension Questions
heap_up&heap_downmethods useful? Why?