Question: Assignment Instructions: Code This For the first part of the assignment, you will be conducting an experimental analysis of three different sorting algorithms. One of
Assignment Instructions: Code This
For the first part of the assignment, you will be conducting an experimental analysis of three different sorting algorithms. One of these will be Python's builtin sort function, and the others are implementations of bubble sort and merge sort, for which the code is provided below:
def bubblesortseq:
for i in rangelenseq:
for j in rangelenseq i :
if seqj seqj:
seqj seqj seqj seqj
def mergesortseq:c
if lenseq:
return
left seq:lenseq
right seqlenseq:lenseq
mergesortleft
mergesortright
l
r
while l r lenseq:
if r lenright or l lenleft and leftl rightr:
seql r leftl
l
else:
seql r rightr
r
Create a script file called ExprimentalAnalysis.py that contains code to test the performance of the different sorting algorithms. You should use Python's builtin time module and time function to help you determine the performance of the different algorithms. To do this, you will be creating lists of various sizes that contain random numbers in the range When timing the algorithms, make sure that you're only measuring the amount of time taking to sort the list and do not include the time taken to generate the list.
To ensure that you get a more accurate result, it will be necessary for you to perform multiple runs for each of different algorithms. Depending on the particular test and the computer that you're using to run it you can expect the test to take several minutes to complete You can use the tables below to record the amount of time that each run takes. You should comment out test code that you're not actively running or put that code in a separate function instead of deleting it When submitting the assignment you should include the results as part of the Blackboard submission.
Tables for Test Results:
Bubble Sort Function
Run
Run
Run
Run
Run
Average:
Merge Sort Function
Run
Run
Run
Run
Run
Average:
Builtin Sort Function
Run
Run
Run
Run
Run
Average:
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