optimism 2.0

Very simple testing framework suitable for beginner programmers, with easy functions for accomplishing most common testing tasks like providing input. Use with Python >=3.9 for best results, but it should be compatible with Python >=3.6.

optimism

A very small & simple unit-testing framework designed to provide all the basic necessities to beginner programmers as simply as possible.

Designed by Peter Mawhorter.

Dependencies

Works on Python versions 3.8 and up, with 3.9+ recommended.

Installing

To install from PyPI, run the following command on the command-line:

python3 -m pip install optimism

Once it's installed, you can run the tests using:

TODO

Usage

Use the testCase function to establish an expression as a test case. Then use the expectResult, expectOutputContains, and/or expectCustom functions to establish expectations for that test. Use provideInput and/or captureOutput and related functions to deal with input/output testing. Use runFile to create a test for an entire file.

See the documentation for more details on how to use it and what each function does.

Changelog

• Version 2.0 creates a less fragile test-case API while streamlining the expectations API to focus on values only. expect now takes an expression and expected value together as two arguments, and testCase isn't needed. expectType was also added to encourage thinking about types. These functions are now intended to be used for debugging rather than testing. There are new testFunction, testFile, and testBlock functions which create TestManager objects that have a case method to derive TestCase objects. Those objects have checkResult and checkOutputLines methods, as well as provideInputs. Now that we're in control of running tests, the old input/output capturing/mocking functions are mostly removed (they were quite confusing to students). The new test case API does require the use of methods, but as a result it can avoid the following: 1. The use of tuples to specify arguments 2. The specification of arguments where one argument is an extra argument to specify the test case 3. The use of behind-the-scenes magic to remember the current test case (students were confused and it encourages bad mental models). 4. The use of triple-quoted strings for specifying input or output (too hard to get newlines right at the start and end).