Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
42 changes: 37 additions & 5 deletions lib/heap_sort.rb
Original file line number Diff line number Diff line change
@@ -1,8 +1,40 @@


# This method uses a heap to sort an array.
# Time Complexity: ?
# Space Complexity: ?
def heap_sort(list)
raise NotImplementedError, "Method not implemented yet..."
end
# Time Complexity: O(n logn)
# Space Complexity: O(1)
def heapsort(list)

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Nice work with the constant space complexity solution.

n = list.length
(n / 2).downto(0) do |i|
heapify(list, i, n)
end
n -= 1
while n > 0
swap(list, 0, n)
n -= 1
heapify(list, 0, n)
end
return list
end

def heapify(array, index, len)
greatest = index
left_child = 2 * index + 1
right_child = 2 * index + 2
if left_child < len && array[left_child] > array[index]
greatest = left_child
end
if right_child < len && array[right_child] > array[greatest]
greatest = right_child
end
if greatest != index
swap(array, greatest, index)
heapify(array, greatest, len)
end
end

def swap(array, index_1, index_2)
temp = array[index_1]
array[index_1] = array[index_2]
array[index_2] = temp
end
76 changes: 56 additions & 20 deletions lib/min_heap.rb
Original file line number Diff line number Diff line change
Expand Up @@ -8,27 +8,30 @@ def initialize(key, value)
end

class MinHeap

def initialize
@store = []
end

# This method adds a HeapNode instance to the heap
# Time Complexity: ?
# Space Complexity: ?
# Time Complexity: O(log n)
# Space Complexity: O(n)

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Since you are only adding one item to the heap and use an iterative heap_up method, this is actually constant.

def add(key, value = key)
raise NotImplementedError, "Method not implemented yet..."
new_heap_node = HeapNode.new(key, value)
@store.append(new_heap_node)
heap_up(@store.length - 1)
end

# This method removes and returns an element from the heap
# maintaining the heap structure
# Time Complexity: ?
# Space Complexity: ?
# Time Complexity: O(log n)
# Space Complexity: O(1)
def remove()
raise NotImplementedError, "Method not implemented yet..."
swap(0, @store.length - 1)
result = @store.pop
heap_down(0) unless @store.empty?
return result.value
end


# Used for Testing
def to_s
return "[]" if @store.empty?
Expand All @@ -39,33 +42,66 @@ def to_s
end

output += @store.last.value + "]"

return output
end

# This method returns true if the heap is empty
# Time complexity: ?
# Space complexity: ?
# Time complexity: O(n)
# Space complexity: O(1)
def empty?
raise NotImplementedError, "Method not implemented yet..."
return true if @store == []
end

private

# 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)
# Space complexity: O(1)
def heap_up(index)

parent_index = find_parent_index(index)
while @store[index].key < @store[parent_index].key && parent_index >= 0
swap(parent_index, index)
index = parent_index
parent_index = find_parent_index(index)
end
end

def find_parent_index(child_index)
if child_index % 2 == 0
parent_index = (child_index - 2) / 2
else
parent_index = (child_index - 1) / 2
end
return parent_index
end

# This helper method takes an index and
# moves it up the heap if it's smaller
# than it's parent node.
# This helper method takes an index and
# moves it down the heap if it's bigger
# than it's child's node.
# Time complexity: O(log n)
# Space complexity: O(1)
def heap_down(index)
raise NotImplementedError, "Method not implemented yet..."
child_index = find_minimum_child_index(index)
while child_index <= @store.length - 1 && @store[index].key > @store[child_index].key
swap(index, child_index)
index = child_index
child_index = find_minimum_child_index(index)
end
end

def find_minimum_child_index(index)
child_index1 = 2 * index + 1
child_index2 = 2 * index + 2
return child_index1 if child_index1 > @store.length - 1
if @store[child_index1].key <= @store[child_index2].key
min_child_index = child_index1
else
min_child_index = child_index2
end
return min_child_index
end

# If you want a swap method... you're welcome
Expand All @@ -74,4 +110,4 @@ def swap(index_1, index_2)
@store[index_1] = @store[index_2]
@store[index_2] = temp
end
end
end
14 changes: 7 additions & 7 deletions test/heapsort_test.rb
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
require_relative "test_helper"

xdescribe "heapsort" do
describe "heapsort" do
it "sorts an empty array" do
# Arrange
# Arrange
list = []

# Act
Expand All @@ -13,7 +13,7 @@
end

it "can sort a 1-element array" do
# Arrange
# Arrange
list = [5]

# Act
Expand All @@ -22,15 +22,15 @@
# Assert
expect(result).must_equal [5]
end

it "can sort a 5-element array" do
# Arrange
# Arrange
list = [5, 27, 3, 16, -50]

# Act
result = heapsort(list)

# Assert
expect(result).must_equal [-50, 3, 5, 16, 27]
end
end
end
end