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Shubha 👾 #12
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,8 +1,61 @@ | ||
| require "pry" | ||
| # This method uses a heap to sort an array. | ||
| # Time Complexity: O (n log n) where n is the number of elements in the heap | ||
| # Space Complexity: O (1) | ||
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| # Adapted from diagrams and pseudocode in https://medium.com/basecs/heapify-all-the-things-with-heap-sort-55ee1c93af82 | ||
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| # This method uses a heap to sort an array. | ||
| # Time Complexity: ? | ||
| # Space Complexity: ? | ||
| def heap_sort(list) | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| def heapsort(list) | ||
| limit = list.length | ||
| build_max_heap(list) | ||
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| while limit > 0 # O(n) | ||
| swap(list, 0, limit - 1) | ||
| limit -= 1 | ||
| heapify(list, 0, limit) # O(log n) | ||
| end | ||
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| return list | ||
| end | ||
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| def build_max_heap(list) | ||
| index = list.length/2 - 1 | ||
| while index >= 0 | ||
| heapify(list, index, list.length) | ||
| index -= 1 | ||
| end | ||
| end | ||
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| def heapify(list, index, limit) | ||
| root = index | ||
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| while index < limit | ||
| left = (2 * index) + 1 | ||
| right = (2 * index) + 2 | ||
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| if left >= limit && right >= limit | ||
| return | ||
| elsif right >= limit | ||
| max = left | ||
| else | ||
| max = [left, right].max_by {|x| list[x]} | ||
| end | ||
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| if list[max] > list[root] | ||
| root = max | ||
| else | ||
| return | ||
| end | ||
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| swap(list, root, index) | ||
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| index = root | ||
| end | ||
| end | ||
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| def swap(list, index_1, index_2) | ||
| temp = list[index_1] | ||
| list[index_1] = list[index_2] | ||
| list[index_2] = temp | ||
| end | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -14,18 +14,23 @@ 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 the store | ||
| # Space Complexity: O(1) | ||
|
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. Since |
||
| def add(key, value = key) | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| new_node = HeapNode.new(key, value) | ||
| @store << new_node | ||
| 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 the store | ||
| # Space Complexity: O(1) | ||
| def remove() | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| swap(0, @store.length - 1) | ||
| removed_node = @store.pop | ||
| heap_down(0) | ||
| return removed_node.value | ||
| end | ||
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@@ -47,25 +52,43 @@ def to_s | |
| # Time complexity: ? | ||
| # Space complexity: ? | ||
| def empty? | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| return @store.empty? | ||
| end | ||
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| private | ||
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| # This helper method takes an index and | ||
| # moves it up the heap, if it is less than it's parent node. | ||
| # It could be **very** helpful for the add method. | ||
| # Time complexity: ? | ||
| # Space complexity: ? | ||
| # Time complexity: O(log n) where n is the number of nodes in the store | ||
| # Space complexity: O(1) | ||
| def heap_up(index) | ||
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| return if index == 0 | ||
| parent_index = (index - 1) / 2 | ||
| if @store[index].key < @store[parent_index].key | ||
| swap(index, parent_index) | ||
| heap_up(parent_index) | ||
| else | ||
| return | ||
| 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. | ||
| # moves it down the heap | ||
| # Time complexity: O (log n) where n is the number of nodes in the store | ||
| # Space complexity: O(1) | ||
| def heap_down(index) | ||
| raise NotImplementedError, "Method not implemented yet..." | ||
| left = (2 * index) + 1 | ||
| right = (2 * index) + 2 | ||
| if !@store[left] && !@store[right] | ||
| return | ||
| elsif !@store[right] | ||
| min = left | ||
| else | ||
| min = [left, right].min_by {|x| @store[x].key} | ||
| end | ||
| swap(index, min) | ||
| heap_down(min) | ||
| end | ||
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| # If you want a swap method... you're welcome | ||
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Really nice work building an O(1) space complexity heapsort.