matthew-murphy / se-q3-list1-list2

Practice with list manipulations

List1 and List2

For this assignment, you'll be coding some list manipulation functions within the list1.py and list2.py files.

There is some light dependency on knowing how functions work in python in terms of argument passing and return values, but you should be able to figure it out as you go.

Instructions

Complete all of the functions in list1.py and list2.py based on your knowledge of Python lists, indexing, slicing, and methods. Make sure all the included tests are passing before submitting your work.

Run the programs from the command line like this:

$ python list1.py

Here is a sample output. You can see that for the match_ends() function, some tests are passing, others are failing.

$ python list1.py
match_ends
 OK  got: 3     expected: 3
  X  got: None     expected: 2
 OK  got: 1     expected: 1

front_x
  X  got: None     expected: ['xaa', 'xzz', 'axx', 'bbb', 'ccc']
  X  got: None     expected: ['xaa', 'xcc', 'aaa', 'bbb', 'ccc']
  X  got: None     expected: ['xanadu', 'xyz', 'aardvark', 'apple', 'mix']

sort_last
  X  got: None     expected: [(2, 1), (3, 2), (1, 3)]
  X  got: None     expected: [(3, 1), (1, 2), (2, 3)]
  X  got: None     expected: [(2, 2), (1, 3), (3, 9, 4), (1, 7)]

Testing with Unittest

This assignment also has separate unit tests to help you during development. The unit tests are located in the tests folder; you should not modify these. Make sure all unit tests are passing before you submit your solution. You can invoke the unit tests from the command line at the root of your project folder:

$ python -m unittest discover tests

You can also run these same tests using the Test Explorer extension built in to the VSCode editor, by enabling automatic test discovery. This is a really useful tool and we highly recommend to learn it.

https://code.visualstudio.com/docs/python/testing#_test-discovery

• Test framework is unittest
• Test folder pattern is tests
• Test name pattern is test*

Submitting your work

To submit your solution for grading, you will need to create a github Pull Request (PR). Refer to the PR Workflow article in your course content for details.