(testing)= # Testing and benchmarking ## Testing ### Requirements Install the following dependencies into the default Python installation: ```bash pip install pytest selenium pytest-instafail pytest-httpserver ``` Install [geckodriver](https://github.com/mozilla/geckodriver/releases) and [chromedriver](https://sites.google.com/a/chromium.org/chromedriver/downloads) and check that they are in your `PATH`. ### Running the Python test suite To run the pytest suite of tests, from the root directory of Pyodide, type on the command line: ```bash pytest ``` There are 3 test locations that are collected by pytest, - `src/tests/`: general Pyodide tests and tests running the CPython test suite - `pyodide-build/pyodide_build/tests/`: tests related to Pyodide build system (do not require selenium to run) - `packages/*/test_*`: package specific tests. ### Running the JavaScript test suite To run tests on the JavaScript Pyodide package using Mocha, run the following commands, ``` cd src/js npm test ``` To check TypeScript type definitions run, ``` npx tsd ``` ### Manual interactive testing To run manual interactive tests, a docker environment and a webserver will be used. 1. Bind port 8000 for testing. To automatically bind port 8000 of the docker environment and the host system, run: `./run_docker` 2. Now, this can be used to test the Pyodide builds running within the docker environment using external browser programs on the host system. To do this, run: `pyodide-build serve` 3. This serves the `build` directory of the Pyodide project on port 8000. - To serve a different directory, use the `--build_dir` argument followed by the path of the directory. - To serve on a different port, use the `--port` argument followed by the desired port number. Make sure that the port passed in `--port` argument is same as the one defined as `DOCKER_PORT` in the `run_docker` script. 4. Once the webserver is running, simple interactive testing can be run by visiting this URL: [http://localhost:8000/console.html](http://localhost:8000/console.html) ## Benchmarking To run common benchmarks to understand Pyodide's performance, begin by installing the same prerequisites as for testing. Then run: ```bash PYODIDE_PACKAGES="numpy,matplotlib" make benchmark ``` ## Linting Python is linted with `flake8`, `black` and `mypy`. JavaScript is linted with `prettier`. C is linted with `clang-format`. To lint the code, run: ```bash make lint ``` ## Testing framework ### run_in_pyodide Many tests simply involve running a chunk of code in Pyodide and ensuring it doesn't error. In this case, one can use the `run_in_pyodide` decorate from `pyodide_build.testing`, e.g. ```python from pyodide_build.testing import run_in_pyodide @run_in_pyodide def test_add(): assert 1 + 1 == 2 ``` In this case, the body of the function will automatically be run in Pyodide. The decorator can also be called with arguments. It has two configuration options --- standalone and packages. Setting `standalone = True` starts a standalone browser session to run the test (the session is shared between tests by default). This is useful for testing things like package loading. The `packages` option lists packages to load before running the test. For example, ```python from pyodide_build.testing import run_in_pyodide @run_in_pyodide(standalone = True, packages = ["regex"]) def test_regex(): import regex assert regex.search("o", "foo").end() == 2 ```