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
15 changes: 13 additions & 2 deletions heaps/heap_sort.py
Original file line number Diff line number Diff line change
@@ -1,8 +1,19 @@

from heapq import heappush, heappop

def heap_sort(list):

Choose a reason for hiding this comment

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

✨ Time and space complexity? It would also be great to see you implement heap_sort using the MinHeap you implement below!

""" This method uses a heap to sort an array.
Time Complexity: ?
Space Complexity: ?
"""
pass
heap = []

for item in list:
heappush(heap, item)

ordered = []

while len(heap) > 0:
value = heappop(heap)
ordered.append(value)

return ordered
83 changes: 58 additions & 25 deletions heaps/min_heap.py
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@


class HeapNode:

def __init__(self, key, value):
Expand All @@ -15,25 +17,38 @@ class MinHeap:
def __init__(self):
self.store = []


def add(self, key, value = None):
""" This method adds a HeapNode instance to the heap
If value == None the new node's value should be set to key
Time Complexity: ?
Space Complexity: ?
""" Adds a HeapNode instance to the heap
If value == None the new node's value is set to key
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.

✨ However space complexity will just be O(log n) here because of the recursive call stack of heap_up. You aren't creating any other significant data structures.

"""
pass
if value == None:
value = key

node = HeapNode(key, value)

self.store.append(node)

self.heap_up(len(self.store) - 1)

def remove(self):

Choose a reason for hiding this comment

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

✨ However space complexity will be O(log n) because of the recursive call stack of heap_down

""" This method removes and returns an element from the heap
""" Removes and returns root element from the heap
maintaining the heap structure
Time Complexity: ?
Space Complexity: ?
Time Complexity: O(log n)
Space Complexity: O(1)
"""
pass
if self.empty():
return None

self.swap(0, len(self.store) - 1)
min = self.store.pop()

if not self.empty():
self.heap_down(0)

return min.value


def __str__(self):
""" This method lets you print the heap, when you're testing your app.
"""
Expand All @@ -44,33 +59,51 @@ def __str__(self):

def empty(self):
""" This method returns true if the heap is empty
Time complexity: ?
Space complexity: ?
Time complexity: O(1)
Space complexity: O(1)

Choose a reason for hiding this comment

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

"""
pass
return len(self.store) == 0


def heap_up(self, index):
""" This helper method takes an index and
moves the corresponding element up the heap, if
it is less than it's parent node until the Heap
""" Moves the element identified by index up the heap
If it is less than it's parent node until the Heap
property is reestablished.

This could be **very** helpful for the add method.
Time complexity: ?
Space complexity: ?
Time complexity: O(1)
Space complexity: O(n)

Choose a reason for hiding this comment

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

✨ However time and space complexity are O(log n) here because of the recursive call. heap_up will be called (log n) times because each time you are halving the index

"""
pass
if index == 0:
return

parent = self.store[(index - 1)//2]

if self.store[index].key < parent.key:
self.swap(index, (index - 1)//2)
self.heap_up((index - 1)//2)

def heap_down(self, index):
""" This helper method takes an index and
moves the corresponding element down the heap if it's
""" moves element at corresponding index down the heap if it's
larger than either of its children and continues until
the heap property is reestablished.
"""
pass
left_index = (index * 2) + 1

Choose a reason for hiding this comment

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

right_index = (index * 2) + 2
parent = self.store[index]

if left_index < len(self.store):
if right_index < len(self.store):
if self.store[left_index].key < self.store[right_index].key:
smaller_child = left_index
else:
smaller_child = right_index
else:
smaller_child = left_index

if parent.key > self.store[smaller_child].key:
self.swap(index, smaller_child)
self.heap_down(smaller_child)


def swap(self, index_1, index_2):
""" Swaps two elements in self.store
at index_1 and index_2
Expand Down