Question
In Python when considering Prim's algorithm and its implementation... e) Why do the methods percDown, minChild, and percUp used the tuple index 0 when comparing
In Python when considering Prim's algorithm and its implementation...
e) Why do the methods percDown, minChild, and percUp used the tuple index 0 when comparing tuples in the self.heapArray? Why do the methods decreaseKey and __contains__ used the tuple index 1 when comparing tuples in the self.heapArray?
Code below:
import unittest
# this implementation of binary heap takes key value pairs, # we will assume that the keys are all comparable
class PriorityQueue: def __init__(self): self.heapArray = [(0,0)] self.currentSize = 0
def buildHeap(self,alist): self.currentSize = len(alist) self.heapArray = [(0,0)] for i in alist: self.heapArray.append(i) i = len(alist) // 2 while (i > 0): self.percDown(i) i = i - 1 def percDown(self,i): while (i * 2) <= self.currentSize: mc = self.minChild(i) if self.heapArray[i][0] > self.heapArray[mc][0]: tmp = self.heapArray[i] self.heapArray[i] = self.heapArray[mc] self.heapArray[mc] = tmp i = mc def minChild(self,i): if i*2 > self.currentSize: return -1 else: if i*2 + 1 > self.currentSize: return i*2 else: if self.heapArray[i*2][0] < self.heapArray[i*2+1][0]: return i*2 else: return i*2+1
def percUp(self,i): while i // 2 > 0: if self.heapArray[i][0] < self.heapArray[i//2][0]: tmp = self.heapArray[i//2] self.heapArray[i//2] = self.heapArray[i] self.heapArray[i] = tmp i = i//2 def add(self,k): self.heapArray.append(k) self.currentSize = self.currentSize + 1 self.percUp(self.currentSize)
def delMin(self): retval = self.heapArray[1][1] self.heapArray[1] = self.heapArray[self.currentSize] self.currentSize = self.currentSize - 1 self.heapArray.pop() self.percDown(1) return retval def isEmpty(self): if self.currentSize == 0: return True else: return False
def decreaseKey(self,val,amt): # this is a little wierd, but we need to find the heap thing to decrease by # looking at its value done = False i = 1 myKey = 0 while not done and i <= self.currentSize: if self.heapArray[i][1] == val: done = True myKey = i else: i = i + 1 if myKey > 0: self.heapArray[myKey] = (amt,self.heapArray[myKey][1]) self.percUp(myKey) def __contains__(self,vtx): for pair in self.heapArray: if pair[1] == vtx: return True return False class TestBinHeap(unittest.TestCase): def setUp(self): self.theHeap = PriorityQueue() self.theHeap.add((2,'x')) self.theHeap.add((3,'y')) self.theHeap.add((5,'z')) self.theHeap.add((6,'a')) self.theHeap.add((4,'d'))
def testInsert(self): assert self.theHeap.currentSize == 5
def testDelmin(self): assert self.theHeap.delMin() == 'x' assert self.theHeap.delMin() == 'y' def testDecKey(self): self.theHeap.decreaseKey('d',1) assert self.theHeap.delMin() == 'd' if __name__ == '__main__': unittest.main()
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started