Task $1$: Develop Unit Tests for Load Data Module

As a team, you will write four different test cases for your load$\_$data module. Remember to use

automated testing, as you learned during the lectures.

Docstring and type annotations are not required for this lab.

For your tests, use the student$-$test.csv file provided.

STEP $1$

$1.$ Read the descriptions of the tests below.

$2.$ Decide who is writing which test.

Test $1$: Functions Return a List

In a file named test$1.$py$,$ write a test function named test$\_$return$\_$list to test that each of the six

functions in the load data module returns a list.

For each function except load$\_$data you need to provide at least $3$ test cases covering different

scenarios: $5$ functions $*3$ test$/$function $=15$ test cases

For function load$\_$data, you need to provide at least $6$ test cases covering different scenarios.

That is $21$ test cases in total.

Hint: For this test, you need to check that the return type of the function is a list. You may want to use the Python function isinstance$.$ Look online at how to use this function

def test$\_$return$\_$list$()->$ list$[$int$]$:

# Complete the function with your test cases # test that student$\_$school$\_$list returns a list $(3$ different test cases required$)$ # test that student$\_$age$\_$list returns a list $(3$ different test cases required$)$ # test that student$\_$health$\_$list returns a list $(3$ different test cases required$)$ # test that student$\_$failures$\_$list returns a list $(3$ different test cases required$)$ # test that load$\_$data returns a list $(6$ different test cases required$)$ # test that add$\_$average returns a list $(3$ different test cases required$)$ # return the a list with the number of tests that passed and the number that failed

cvs file name:student$-$test.csv