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CMPSC-132: Programming and Computation II
Lab #5
Read the instructions carefully before starting the assignment. Make sure your code follows the
stated guidelines to ensure full credit for your work.
Instructions:
- The work in this lab must be completed alone and must be your own.
- Download the starter code file from the LAB5 Assignment on Canvas. Do not change
the function names on your script.
- A doctest is provided as an example of code functionality. Getting the same result as the
doctest does not guarantee full credit. You are responsible for debugging and testing your
code with enough data, you can share ideas and testing code during your recitation class.
- Each function must return the output (Do not use print in your final submission, otherwise
your submissions will receive a -1 point deduction)
- Do not include test code outside any function in the upload. Printing unwanted or illformatted data to output will cause the test cases to fail. Remove all your testing code
before uploading your file (You can also remove the doctest). Do not include the
input() function in your submission.
- As a REMINDER, you are not allowed to use the internet to search for a solution or
to use code written by other students that have taken (or are currently taking) the
class
Goal:
[10 pts] In our video lecture, we discussed the abstract data type Queue. A queue is a collection
of items where the addition of new items happens at one end (tail) and the removal of existing
items occurs at the other end (head) (FIFO). Use the Node class (an object with a data field and a
pointer to the next element) to implement the queue data structure with the following operations:
• enqueue(item) adds a new Node with value=item to the tail of the queue. It needs the value
of the Node and returns nothing.
• dequeue() removes the head Node from the queue. It needs no parameters and returns the
value of the Node removed from the queue. The queue is modified.
• isEmpty() tests to see whether the queue is empty. It needs no parameters and returns a
boolean value.
• len(queue_object) returns the number of items in the queue. It needs no parameters and
returns an integer.
- You are not allowed to use any other data structures to copy the elements of the Queue for
manipulating purposes in the enqueue and dequeue methods.
- You are not allowed to modify the given constructor
- You can’t use queue functions from the Python library, otherwise no credit will be given
Tips:
- Starter code contains the special methods __str__ and __repr__, use them to ensure the
queue operations are updating the elements in the queue correctly
- When calling dequeue, you always need to check the size of the queue first to ensure there
are elements in the queue.
- Remember that calling dequeue when the size is 1 should update the head and tail pointers
to None
NOTE: To grade this assignment, the grading script will perform a series of mixed queue
operations and compare the final status of your queue. Verify that all your methods work correctly
when mixed together.
EXAMPLE
>>> x=Queue()
>>> x.isEmpty()
True
>>> x.dequeue()
>>> x.enqueue(1)
>>> x.enqueue(2)
>>> x.enqueue(3)
>>> x.enqueue(4)
>>> print(x)
Head:Node(1)
Tail:Node(4)
Queue:1 2 3 4
>>> x.isEmpty()
False
>>> len(x)
4
>>> x.dequeue()
1
>>> x.dequeue()
2
>>> x.dequeue()
3
>>> x.dequeue()
4
>>> x.dequeue()
>>> print(x)
Head:None
Tail:None
Queue:
>>> x.enqueue(3)
>>> x.enqueue(2)
>>> print(x)
Head:Node(3)
Tail:Node(2)
Queue:3 2
>>> x.dequeue()
3
>>> print(x)
Head:Node(2)
Tail:Node(2)
Queue:2
>>> x.dequeue()
2
>>> print(x)
Head:None
Tail:None
Queue:
Deliverables:
• Submit your code in a file name LAB5.py to the Lab5 GradeScope assignment before the
due date