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12 changes: 11 additions & 1 deletion heaps/heap_sort.py
Original file line number Diff line number Diff line change
@@ -1,8 +1,18 @@
from min_heap import MinHeap

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Suggested change
from min_heap import MinHeap
from heaps.min_heap import MinHeap



def heap_sort(list):
""" This method uses a heap to sort an array.
Time Complexity: ?
Space Complexity: ?
Comment on lines 6 to 7

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✨ But what about time and space complexity?

"""
pass
heap = MinHeap()

sorted_array = []
for num in list:
heap.add(num)

while not heap.empty():
sorted_array.append(heap.pop())

return sorted_array
62 changes: 45 additions & 17 deletions heaps/min_heap.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@

class HeapNode:

def __init__(self, key, value):
self.key = key
self.value = value
Expand All @@ -10,67 +10,95 @@ def __str__(self):
def __repr__(self):
return str(self.value)


class MinHeap:

def __init__(self):
self.store = []


def add(self, key, value = None):
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: ?
Comment on lines 22 to 23

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✨ Implementation works but what about time and space complexity?

"""
pass
new_node = HeapNode(key, value)
if value == None:
new_node.value = key
self.store.append(new_node)
if len(self.store) > 1:
index = len(self.store) - 1
self.heap_up(index)

def remove(self):
""" This method removes and returns an element from the heap
maintaining the heap structure
Time Complexity: ?
Space Complexity: ?
Comment on lines 36 to 37

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✨ Implementation works but what about time and space complexity?

"""
pass

if self.empty():
return None
# root_node_index = 0
# last_node_index = len(self.store) - 1
self.swap(0, len(self.store)-1)
# storing this node to remove later
node_to_remove = self.store.pop()
self.heap_down(0)
return node_to_remove.value


def __str__(self):
""" This method lets you print the heap, when you're testing your app.
"""
if len(self.store) == 0:
return "[]"
return f"[{', '.join([str(element) for element in self.store])}]"


def empty(self):
""" This method returns true if the heap is empty

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✨ Implementation works but what about time and space complexity?

Time complexity: ?
Space complexity: ?
"""
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
moves the corresponding element 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: ?
Comment on lines 70 to 71

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✨ Implementation works but what about time and space complexity?

"""
pass
if index == 0:
return
parent_idx = (index - 1) // 2
if self.store[parent_idx].key > self.store[index].key:
self.swap(parent_idx, index)
self.heap_up(parent_idx)

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

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left_child_idx = (index * 2) + 1
right_child_idx = (index * 2) + 2
if left_child_idx < len(heap):
if right_child_idx < len(heap):
if heap[left_child_idx].key < heap[right_child_idx].key:
smaller = left_child_idx
else:
smaller = right_child_idx
else:
# when there is no right child
smaller = left_child_idx
if heap[index].key > heap[smaller].key:
self.swap(index, smaller)
self.heap_down(smaller)


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