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47a9ea2b0b
* Simplify code by dropping support for legacy Python * sort() --> sorted()
85 lines
1.9 KiB
Python
85 lines
1.9 KiB
Python
#!/usr/bin/python
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# This heap class start from here.
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class Heap:
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def __init__(self): # Default constructor of heap class.
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self.h = []
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self.currsize = 0
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def leftChild(self,i):
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if 2*i+1 < self.currsize:
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return 2*i+1
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return None
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def rightChild(self,i):
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if 2*i+2 < self.currsize:
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return 2*i+2
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return None
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def maxHeapify(self,node):
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if node < self.currsize:
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m = node
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lc = self.leftChild(node)
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rc = self.rightChild(node)
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if lc is not None and self.h[lc] > self.h[m]:
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m = lc
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if rc is not None and self.h[rc] > self.h[m]:
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m = rc
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if m!=node:
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temp = self.h[node]
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self.h[node] = self.h[m]
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self.h[m] = temp
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self.maxHeapify(m)
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def buildHeap(self,a): #This function is used to build the heap from the data container 'a'.
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self.currsize = len(a)
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self.h = list(a)
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for i in range(self.currsize//2,-1,-1):
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self.maxHeapify(i)
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def getMax(self): #This function is used to get maximum value from the heap.
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if self.currsize >= 1:
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me = self.h[0]
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temp = self.h[0]
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self.h[0] = self.h[self.currsize-1]
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self.h[self.currsize-1] = temp
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self.currsize -= 1
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self.maxHeapify(0)
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return me
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return None
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def heapSort(self): #This function is used to sort the heap.
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size = self.currsize
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while self.currsize-1 >= 0:
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temp = self.h[0]
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self.h[0] = self.h[self.currsize-1]
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self.h[self.currsize-1] = temp
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self.currsize -= 1
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self.maxHeapify(0)
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self.currsize = size
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def insert(self,data): #This function is used to insert data in the heap.
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self.h.append(data)
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curr = self.currsize
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self.currsize+=1
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while self.h[curr] > self.h[curr/2]:
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temp = self.h[curr/2]
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self.h[curr/2] = self.h[curr]
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self.h[curr] = temp
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curr = curr/2
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def display(self): #This function is used to print the heap.
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print(self.h)
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def main():
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l = list(map(int, input().split()))
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h = Heap()
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h.buildHeap(l)
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h.heapSort()
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h.display()
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if __name__=='__main__':
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main()
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