With the min-projection, the opaque sample holder rotating through the X-ray eye view blackened every pixel it passed at any angle and shrank the usable field of view. SmearComposite now ignores, per frame, pixels darker than opaque_level (default 0.25) times the frame's 99th-percentile value and takes the minimum over the remaining frames; pixels opaque at every angle fall back to the plain minimum, and opaque_level=0 is the plain minimum. opaque_level is passed through from lamni.xrayeye_rotation_center_calibration_smear_experimental() and stored in the calibration HDF5. The smear capture-rate test now replaces the module's time instead of patching time.time globally, which EPICS CA threads left running by other tests also advanced. Docs: smear opaque_level, LamNI optics in/out incl. central stop, interferometer feedback commands, and moving to the scan centre including the X-ray eye fit. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0155LWmbktVgWdnRZqtveqQv
Getting Started with Testing using pytest
BEC is using the pytest framework. It can be installed via
pip install pytest
in your python environment.
We note that pytest is part of the optional-dependencies [dev] of the plugin package.
Introduction
Tests in this package should be stored in the tests directory.
We suggest to sort tests of different submodules, i.e. scans or devices in the respective folder structure, and to folow a naming convention of <test_module_name.py>.
It is mandatory for test files to begin with test_ for pytest to discover them.
To run all tests, navigate to the directory of the plugin from the command line, and run the command
pytest -v --random-order ./tests
Note, the python environment needs to be active.
The additional arg -v allows pytest to run in verbose mode which provides more detailed information about the tests being run.
The argument --random-order instructs pytest to run the tests in random order, which is the default in the CI pipelines.
Test examples
Writing tests can be quite specific for the given function. We recommend writing tests as isolated as possible, i.e. try to test single functions instead of full classes. A very useful class to enable isolated testing is MagicMock. In addition, we also recommend to take a look at the How-to guides from pytest.