Background

Questions

• Questions about A4
• Questions about L14

Getting Started

• Make a directory ~/cs2613/labs/L15
• Download Work.zip and unzip in your newly created directory.

• In a terminal run

    pipx install --include-deps unb-cs2613
  

Pytest

• Save the following sample code (based on Exercise 1.19) to a file listex.py in the directory you created above.

symbols = 'HPQ,AAPL,IBM,MSFT,YHOO,DOA,GOOG'
symlist = symbols.split(',')

def test_lookup0():
    assert symlist[0] == 'HPQ'

def test_lookup1():
    assert symlist[1] == 'AAPL'

• In ~/cs2613/labs/L15, run

    pytest listex.py
  

• You should see

[student@id414m22 L15]$ pytest listex.py
=================== test session starts ===================
platform linux -- Python 3.9.16, pytest-7.4.3, pluggy-1.3.0
rootdir: /home1/ugrad/student/cs2613/labs/L15
plugins: pylama-8.4.1, cov-4.1.0
collected 2 items

listex.py ..                                        [100%]

==================== 2 passed in 0.02s ====================

• Modify one of the tests so it fails. Run pytest again.

• Question for your journal: what are three ways failing tests are indicated?

Lists and Pytest

• For each of the remaining interactive evaluations in Exercise 1.19, add a corresponding test to listex.py.

• make sure each test_* function (def) has a unique name.

• if you want, you can have multiple asserts in a single test.

• Questions for your journal:

  • what are some differences between == in JavaScript and Python?
  • based on what you have seen so far, what are similarities and differences between the node test framework and pytest

Files

• Do Exercise 1.26, 1.27.

• Note that 1.26 shows you most of the pieces you need for 1.27

• Add the following test to your solution for 1.27

def test_sum():
    from pytest import approx
    assert sum==approx(44671.15,abs=.01)

• Questions for your journal:
  • what is approx?
  • what is the line from pytest import approx doing

Functions

We have already been using python functions for pytest, without really thinking about how they work. In Part 1.7 of Practical Python, functions are explained.

• Do Exercise 1.30

• Convert the interactive evaluation here to a pytest test.

• Check your test(s) for coverage with

    pytest --cov=pcost --cov-report=term-missing pcost.py
  

Before next lab