Mode A (per-gate aggregate) and Mode B (continuous raw-sample) need different PandA hardware layouts and can't run simultaneously, so omny_panda is now two device config entries in ptycho_flomni.yaml: omny_panda (legacy, kept commented as the restore reference) and omny_panda_continuous (raw_stream_mode: true, enabled). Also fixes on_complete for the continuous case. PCAP.CAPTURED can't be used to detect end-of-acquisition on this layout: CLOCK1 drives PCAP.gate/trig continuously, so the captured count never naturally stops increasing while armed -- the previous settle-based wait would have just run out its timeout. COUNTER1 (frame_counter) instead counts completed exposures directly (triggered on the detector-trigger's falling edge), so PandaBoxOMNY now waits for it to reach the exact expected num_points * frames_per_trigger, mirroring the legacy exact-count check instead of guessing when capture has "settled". Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01TsfqLcPWspjJ6vedMyCxco
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.