x01dcandClaude Sonnet 5
158dc800f0
_get_val() (the wizard's input prompt) previously did no range validation at all -- only the Tomo Parameters GUI's spinboxes enforced limits, so the CLI silently accepted any value of the right type (e.g. manual_shift_y=500 despite the GUI's ±50 µm range). _get_val() now takes optional min_/max_ and re-prompts until the value is in range; wired up for every tomo_parameters() field that already has a GUI-defined range (tomo_countingtime, tomo_shellstep, fermat_asymmetry, fovx, fovy, stitch_x/y, manual_shift_y, frames_per_trigger, single_point_random_shift_max, total projections, golden_ratio_bunch_size, golden_max_number_of_projections, projections/sub-tomo). fermat_asymmetry reuses FlomniFermatScan's own MIN/MAX constants rather than duplicating them. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0132KBoxsovfcMNRGJhS1Pbw
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.