Pynguin is a tool for automated unit test generation for Python
Pynguin, the PYthoN General UnIt test geNerator, is a tool that allows developers to generate unit tests automatically.
Testing software is a tedious task. Thus, automated generation techniques have been proposed and mature tools exist—for statically typed languages, such as Java. There is, however, no fully-automated tool available that produces unit tests for general-purpose programs in a dynamically typed language. Pynguin is, to the best of our knowledge, the first tool that fills this gap and allows the automated generation of unit tests for Python programs.
Before you begin, ensure you have met the following requirements:
- You have installed Python 3.8 (we have not yet tested with Python 3.9, there might be some problems due to changed internals regarding the byte-code instrumentation).
- You have a recent Linux/macOS/Windows machine.
Pynguin can be easily installed using the
pip tool by typing:
pip install pynguin
Make sure that your version of
pip is the one of the Python 3.8 interpreted or a
virtual environment that uses Python 3.8 as its interpreter as any older version is
not supported by Pynguin!
Pynguin is a command-line application.
Once you installed it to a virtual environment, you can invoke the tool by typing
pynguin inside this virtual environment.
Pynguin will then print a list of its command-line parameters.
A minimal full command line to invoke Pynguin could be the following,
where we assume that a project
foo is located in
we want to store Pynguin's in
and we want to generate tests using a whole-suite approach for the module
(wrapped for better readability):
pynguin \ --algorithm WSPY \ --project_path /tmp/foo \ --output_path /tmp/testgen \ --module_name foo.bar
Contributing to Pynguin
For the development of Pynguin you will need the
dependency management and packaging tool.
To start developing, follow these steps:
Clone the repository
Change to the
Create a virtual environment and install dependencies using
Make your changes
poetry shellto switch to the virtual environment in your current shell
make checkto verify that your changes pass all checks
Please see the
poetrydocumentation for more information on this tool.
Development using PyCharm.
If you want to use the PyCharm IDE you have to set up a few things:
- Import pynguin into PyCharm.
- Find the location of the virtual environment by running
poetry env infoin the project directory.
- Go to
- Add and use a new interpreter that points to the path of the virtual environment
- Set the default test runner to
This project is licensed under the terms of the GNU Lesser General Public License.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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