Answered: Profile the performance of the memoized…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Question

Profile the performance of the memoized version of the Fibonacci function defined in Project 6. The function should count the number of recursive calls. State its computational complexity using big-O notation, and justify your answer.

The fib function header has been modified to include the counter as the second parameter.

Define the Counter class, it should have three methods: __init__, increment, and __str__. When an instance of the Counterclass is passed as a parameter, the countproperty of that instance should be incremented based on the number of recursive calls. The __str__ method should return the countproperty's value as a string.

Please can you change the solution to this problem here, because this is wrong.

"""

File: fib.py

Project 11.7

Employs memoization to improve the efficiency of recursive Fibonacci.

Counts the calls and displays the results.

"""

class Counter(object):

def__init__(self,count=0):

self.count=count

defincrement(self):

self.count+=1

def__str__(self):

return"Number of recursive calls: "+str(self.count)

def fib(n,counter=None):

table={}

defmemoizeFib(n):

counter.increment()

if n<3:

return1

else:

value=table.get(n,None)

if value:return value

else:

value=memoizeFib(n)+memoizeFib(n)

table[n]=value

return value

return memoizeFib(n)

def main():

counter=Counter()

problemSize=2

print("%4s%12s"% ("n","fib(n)"))

for count inrange(5):

print("%4s%12s"% (problemSize,fib(problemSize,counter)))

print(counter)

if __name__ == "__main__":

main()

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hi,it is wrong agai n fib(n)
2 1
2 1
2 1
2 1
2 1
Number of recursive calls: 5

but have to:

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