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Space - Lee #27
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| Original file line number | Diff line number | Diff line change |
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| @@ -1,8 +1,22 @@ | ||
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| require_relative "min_heap" | ||
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| # This method uses a heap to sort an array. | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(n log n), where n is the number of nodes and because this method adds the elements to a heap, then places them back in the array in order | ||
| # Space Complexity: O(log n), due to recursive calls of the heap_up and heap_down methods within the add and remove methods | ||
| def heapsort(list) | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| return list if list.empty? || list.length < 2 | ||
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| min_heap = MinHeap.new | ||
| list.each do |value| | ||
| min_heap.add(value) | ||
| end | ||
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| i = 0 | ||
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| while i < list.length | ||
| list[i] = min_heap.remove | ||
| i += 1 | ||
| end | ||
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| return list | ||
| end | ||
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@@ -14,18 +14,25 @@ def initialize | |
| end | ||
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| # This method adds a HeapNode instance to the heap | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(log n), where n is the number of nodes in a heap (a complete binary tree has log n levels) | ||
| # Space Complexity: O(log n), due to recursive calls of the heap_up method | ||
| def add(key, value = key) | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 |
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| raise NotImplementedError, "Method not implemented yet..." | ||
| @store << HeapNode.new(key, value) | ||
| heap_up(@store.length - 1) | ||
| end | ||
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| # This method removes and returns an element from the heap | ||
| # maintaining the heap structure | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| # Time Complexity: O(log n), where n is the number of nodes in a heap (a complete binary tree has log n levels) | ||
| # Space Complexity: O(log n), due to recursive calls of the heap_down method | ||
| def remove() | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 |
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| raise NotImplementedError, "Method not implemented yet..." | ||
| return if @store.empty? | ||
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| swap(0, @store.length - 1) | ||
| result = @store.pop | ||
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| heap_down(0) unless @store.empty? | ||
| return result.value | ||
| end | ||
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@@ -44,10 +51,10 @@ def to_s | |
| end | ||
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| # This method returns true if the heap is empty | ||
| # Time complexity: ? | ||
| # Space complexity: ? | ||
| # Time complexity: O(n), where n is the number of nodes | ||
| # Space complexity: O(1) | ||
| def empty? | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 , but the time complexity is O(1) |
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| raise NotImplementedError, "Method not implemented yet..." | ||
| return @store.empty? | ||
| end | ||
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| private | ||
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@@ -58,14 +65,35 @@ def empty? | |
| # Time complexity: ? | ||
| # Space complexity: ? | ||
| def heap_up(index) | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 👍 |
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| return if !index || !@store[index] | ||
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| parent = (index - 1) / 2 | ||
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| if @store[index].key < @store[parent].key | ||
| swap(index, parent) | ||
| return if parent == 0 | ||
| heap_up(parent) | ||
| end | ||
| end | ||
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| # 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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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Nice, very clever way to handle checking if the right and left children are beyond the array. |
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| raise NotImplementedError, "Method not implemented yet..." | ||
| left_child = index * 2 + 1 | ||
| right_child = index * 2 + 2 | ||
| return if !@store[left_child] | ||
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| min_child = @store[right_child] ? find_min_child(left_child, right_child) : left_child | ||
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| if @store[index].key > @store[min_child].key | ||
| swap(index, min_child) | ||
| heap_down(min_child) | ||
| end | ||
| end | ||
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| def find_min_child(left_child, right_child) | ||
| @store[left_child].key <= @store[right_child].key ? left_child : right_child | ||
| end | ||
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| # If you want a swap method... you're welcome | ||
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👍 Since you are building a heap, the space complexity is O(n) (a heap of n elements).