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min-heap-construction.py
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# MIN HEAP CONSTRUCTION
#########################################
# THIS DOES NOT WORK FOR TWO ELEMENTS IN THE HEAP. DO NOT USE THIS. USE THE ONE GIVEN BELOW.
##########################################
class MinHeap:
def __init__(self, array):
# Do not edit the line below.
self.heap = self.buildHeap(array)
# O(N) time and O(1) space
def buildHeap(self, array):
# Write your code here.
firstParent = (len(array) - 2) // 2
for currentIndex in reversed(range(firstParent + 1)):
self.siftDown(currentIndex, array)
print(array)
return array
# O(log(n)) time and O(1) space
def siftDown(self, start, array):
# Write your code here.
while start * 2 + 1 < len(array):
minChild = self.findMinChild(start, array)
if array[start] > array[minChild]:
self.swap(start, minChild, array)
start = minChild
def findMinChild(self, n, array):
if n * 2 + 2 >= len(array):
return n * 2 + 1
if array[n * 2 + 1] < array[n * 2 + 2]:
return n * 2 + 1
else:
return n * 2 + 2
# O(log(n)) time and O(1) space
def siftUp(self, start, array):
# Write your code here.
while (start - 1) // 2 > 0:
child = array[start]
parent = array[(start - 1) // 2]
if child < parent:
self.swap(start, (start-1)//2, array)
start = (start - 1) // 2
def swap(self, i, j, array):
array[i], array[j] = array[j], array[i]
# O(1) time and space
def peek(self):
# Write your code here.
return self.heap[0]
# O(log(n)) time and O(1) space
def remove(self):
# Write your code here.
self.swap(0, len(self.heap) - 1, self.heap)
deletedValue = self.heap.pop()
self.siftDown(0, self.heap)
return deletedValue
# O(log(n)) time and O(1) space
def insert(self, value):
# Write your code here.
self.heap.append(value)
self.siftUp(len(self.heap) - 1, self.heap)
############################################
# CORRECT IMPLEMENTATION
############################################
class MinHeap:
def __init__(self, array):
self.heap = self.buildHeap(array)
def isEmpty(self):
return len(self.heap) == 0
def buildHeap(self, array):
firstParentIdx = (len(array) - 2) // 2
for currentIdx in reversed(range(firstParentIdx + 1)):
self.siftDown(currentIdx, len(array) - 1, array)
return array
def siftDown(self, currentIdx, endIdx, heap):
childOneIdx = currentIdx * 2 + 1
while childOneIdx <= endIdx:
childTwoIdx = currentIdx * 2 + 2 if currentIdx * 2 + 2 <= endIdx else -1
if childTwoIdx != -1 and heap[childTwoIdx] < heap[childOneIdx]:
idxToSwap = childTwoIdx
else:
idxToSwap = childOneIdx
if heap[idxToSwap] < heap[currentIdx]:
self.swap(currentIdx, idxToSwap, heap)
currentIdx = idxToSwap
childOneIdx = currentIdx * 2 + 1
else:
return
def siftUp(self, currentIdx, heap):
parentIdx = (currentIdx - 1) // 2
while currentIdx > 0 and heap[currentIdx] < heap[parentIdx]:
self.swap(currentIdx, parentIdx, heap)
currentIdx = parentIdx
parentIdx = (currentIdx - 1) // 2
def peek(self):
return self.heap[0]
def remove(self):
self.swap(0, len(self.heap) - 1, self.heap)
valueToRemove = self.heap.pop()
self.siftDown(0, len(self.heap) - 1, self.heap)
return valueToRemove
def insert(self, value):
self.heap.append(value)
self.siftUp(len(self.heap) - 1, self.heap)
def swap(self, i, j, heap):
heap[i], heap[j] = heap[j], heap[i]