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while j >= 0 and 1st [j] <= t: # Loop 2 1st[j] j p = p * j - 1 j = j + 1 if i i > m: m = i j return m (a) Find, with proof, an upper bound on the worst-case running time of long prod. Show your work. Upper bound must match the lower bound from the next part.

while j >= 0 and 1st [j] <= t: # Loop 2 1st[j] j p = p * j - 1 j = j + 1 if i i > m: m = i j return m (a) Find, with proof, an upper bound on the worst-case running time of long prod. Show your work. Upper bound must match the lower bound from the next part.

Computer Networking: A Top-Down Approach (7th Edition)
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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Consider the following algorithm. def long_prod(1st: list, t: int) -> int: ''' Return the maximum length of any slice of lst whose product is at most t. 1 2 3 Preconditions: t > 0; lst is non-empty; every element of lst is positive. 4 # max length found so far for i in range(1, len(lst) + 1): 5 m = 0 # Loop 1 7 = i - 1 # product of lst[j+1:i] 1st[j] <= t: 8 p = 1 while j >= 0 and p * # Loop 2 * 1st[j] %3D 10 j j if i - 11 12 = j + 1 13 i > m: 14 m i j 15 return m (a) Find, with proof, an upper bound on the worst-case running time of long prod. Show your work. Upper bound must match the lower bound from the next part.
Transcribed Image Text:Consider the following algorithm. def long_prod(1st: list, t: int) -> int: ''' Return the maximum length of any slice of lst whose product is at most t. 1 2 3 Preconditions: t > 0; lst is non-empty; every element of lst is positive. 4 # max length found so far for i in range(1, len(lst) + 1): 5 m = 0 # Loop 1 7 = i - 1 # product of lst[j+1:i] 1st[j] <= t: 8 p = 1 while j >= 0 and p * # Loop 2 * 1st[j] %3D 10 j j if i - 11 12 = j + 1 13 i > m: 14 m i j 15 return m (a) Find, with proof, an upper bound on the worst-case running time of long prod. Show your work. Upper bound must match the lower bound from the next part.
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