Python/data_structures/heap/heap.py
Christian Clauss 47a9ea2b0b
Simplify code by dropping support for legacy Python (#1143)
* Simplify code by dropping support for legacy Python

* sort() --> sorted()
2019-08-19 15:37:49 +02:00

85 lines
1.9 KiB
Python

#!/usr/bin/python
# This heap class start from here.
class Heap:
def __init__(self): # Default constructor of heap class.
self.h = []
self.currsize = 0
def leftChild(self,i):
if 2*i+1 < self.currsize:
return 2*i+1
return None
def rightChild(self,i):
if 2*i+2 < self.currsize:
return 2*i+2
return None
def maxHeapify(self,node):
if node < self.currsize:
m = node
lc = self.leftChild(node)
rc = self.rightChild(node)
if lc is not None and self.h[lc] > self.h[m]:
m = lc
if rc is not None and self.h[rc] > self.h[m]:
m = rc
if m!=node:
temp = self.h[node]
self.h[node] = self.h[m]
self.h[m] = temp
self.maxHeapify(m)
def buildHeap(self,a): #This function is used to build the heap from the data container 'a'.
self.currsize = len(a)
self.h = list(a)
for i in range(self.currsize//2,-1,-1):
self.maxHeapify(i)
def getMax(self): #This function is used to get maximum value from the heap.
if self.currsize >= 1:
me = self.h[0]
temp = self.h[0]
self.h[0] = self.h[self.currsize-1]
self.h[self.currsize-1] = temp
self.currsize -= 1
self.maxHeapify(0)
return me
return None
def heapSort(self): #This function is used to sort the heap.
size = self.currsize
while self.currsize-1 >= 0:
temp = self.h[0]
self.h[0] = self.h[self.currsize-1]
self.h[self.currsize-1] = temp
self.currsize -= 1
self.maxHeapify(0)
self.currsize = size
def insert(self,data): #This function is used to insert data in the heap.
self.h.append(data)
curr = self.currsize
self.currsize+=1
while self.h[curr] > self.h[curr/2]:
temp = self.h[curr/2]
self.h[curr/2] = self.h[curr]
self.h[curr] = temp
curr = curr/2
def display(self): #This function is used to print the heap.
print(self.h)
def main():
l = list(map(int, input().split()))
h = Heap()
h.buildHeap(l)
h.heapSort()
h.display()
if __name__=='__main__':
main()