x01dcandClaude Sonnet 5
207be425dc
The simulated speckle pattern rotated exactly around image center -- the same point the FZP crosshair sits at -- so the calibration was trivially already correct in sim, never exercising the actual find-and-correct-a-miscalibration path. Add an opt-in axis_offset_range_px/axis_offset_seed: when set, the "true" rotation axis the speckle field orbits is offset from image center by a random amount (fresh each device construction unless a seed is given, so each sim session gets a new miscalibration to find). Wired into LamNI's cam_xeye sim config (sim_axis_offset_range_px: 40, no seed -- random each session); default (0.0) preserves prior behavior exactly for any other SimIDSCamera user. Also drop the synthetic crosshair lines baked into make_speckle_test_pattern's pixel data -- a real camera image has no such marking; the GUI already draws its own crosshair overlay (TargetCrosshair) on top of the live image. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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.