Writing your First Testing Suite with pytest
Overview
Repository contains sample testing suite to illustrate how to write your first
testing suite and how to do so with pytest.
We've all heard that we should be testing our Machine Learning models in
production and getting good test coverage. This repository and referenced talk
will give an overview of 4 types of tests: unit, integration, regression and
parametrized test, via examples in pytest, to help you write more robust code
in no-time, no prior testing experience necessary.
Associated Slide Decks
- IDEAS webinar (2019-07-20) slide deck
- PyLadies Los Angeles meetup (2018-11-08) slide deck
Prerequisites to Running the Code/Tests
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Prerequisites: Install Python 3.6+
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Clone (or download) this repository
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(Optionally) Start a virtual environment for the project
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Install required package
pytest(to run tests) andpytest-cov(to get code coverage)
pip3 install -r requirements.txt
Run the Code
From root of the folder, run:
python3 main.py 100 .10 -.2
Run the Tests
From root of the folder, run:
pytest tests/. -x --pdb
Check code coverage
From root of the folder, run:
pytest tests/. --cov --cov-report=html
open htmlcov/index.html