flomni already has this (type-1-only: a dedicated projection at exactly 0 degrees before every odd/forward sub-tomogram, plus once more at the end, for tracking radiation damage over a tomogram). Deliberately excluded from OMNY during the Phase 1 port as flomni-specific; Mirko asked for it to be extended to OMNY's generalized equally-spaced types (1/4/5, 2/4/8 sub-tomograms), and confirmed the pre-shot should fire even for sub-tomogram 1 (whose own first projection already lands on 0) to get two consecutive 0-degree shots as an immediate baseline pair. Also fixes a second hardcoded `tomo_type != 1` bug in the widget's _irrelevant_params_for_type() (same class as the earlier _validate() fix) that would have hidden this setting from OMNY type-4/5 job tooltips even when enabled. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QLrD7sVYGLAzsQjLVJpCgt
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.