Marjan-Pine #14
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Marjan-Pine #14
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kyra-patton
reviewed
Jun 1, 2022
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✨💫 Nice work Marjan, you have a solid implementation. I left some comments below on complexity. I'm marking this as yellow since the comprehension questions are not filled out. You can resubmit with them filled out for a green! Let me know what questions you have.
🟡
| Time Complexity: ? | ||
| Space Complexity: ? | ||
| Time Complexity: O(n log n) | ||
| Space Complexity: O(n) |
| self.store = [] | ||
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| def add(self, key, value = None): |
| self.store.append(HeapNode(key,value)) | ||
| self.heap_up(len(self.store)-1) | ||
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| def remove(self): |
| return f"[{', '.join([str(element) for element in self.store])}]" | ||
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| def empty(self): |
| Time complexity: ? | ||
| Space complexity: ? | ||
| Time complexity: O(log n) | ||
| Space complexity: O(1) |
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✨ The recursive call stack here is going to make the space complexity O(log n) as each recursive call halves the heap
| self.swap(index, parent_node) | ||
| self.heap_up(parent_node) | ||
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| def heap_down(self, index): |
kyra-patton
reviewed
Jun 3, 2022
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Heaps Practice
Congratulations! You're submitting your assignment!
Comprehension Questions
heap_up&heap_downmethods useful? Why?