Liv - Space #18
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Liv - Space #18
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CheezItMan
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Oct 1, 2020
CheezItMan
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CheezItMan
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Overall nice work, but remember that recursion incurs a space complexity and if you are doing recursion you have a loop of sorts (time complexity).
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| # Time Complexity: o1 | ||
| # Space Complexity: on | ||
| def heapsort(list) |
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| # Time Complexity:ologn | ||
| # Space Complexity: o1 | ||
| def add(key, value = key) |
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👍 , Since heap_up is a recursive method, you have a space complexity incurred.
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| # Time Complexity:ologn | ||
| # Space Complexity: o1 | ||
| def remove() |
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| # Time complexity: o1 | ||
| # Space complexity: o1 | ||
| def empty? |
| # Space complexity: ? | ||
| # Time complexity: o1 | ||
| # Space complexity: o1 | ||
| def heap_up(index) |
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👍 , but the time/space complexity is off here.
| # 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
Congratulations! You're submitting your assignment!
Comprehension Questions
heap_up&heap_downmethods useful? Why?