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.
Project description
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, andtestCase
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 newtestFunction
,testFile
, andtestBlock
functions which createTestManager
objects that have acase
method to deriveTestCase
objects. Those objects havecheckResult
andcheckOutputLines
methods, as well asprovideInputs
. 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). - Version 2.2.0 changes some method names in the new API to make them
more explicit:
checkResult
becomescheckReturnValue
, andcheckOutputLines
becomescheckPrintedLines
. - Version 2.5.0 adds automatic skipping of checks for a case after one check fails, and includes a global setting to apply this at the manager level or disable it.
- Version 2.5.1 fixes a bug with comparisons on recursive structures.
- Version 2.6.0 upgrades
checkCustom
to include a 'case' key in the dictionary supplied to the checker whose value is theTestCase
object thatcheckCustom
was called on. This allows custom checkers to do things like access the arguments given to aFunctionCase
. - Version 2.6.1 Upgrades
checkCustom
again; it now accepts additional arguments to be passed on to the custom checker, which vastly improves usability! - Version 2.6.2 Fixes a bug in the comparison code that would cause
crashes when comparing dictionaries with different key sets. It also
adds unit tests for the
compare
function.
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