ProjectionOperator Bug Fix (Issue #1990) - #2065

PS: In CIL/scripts/create_local_env_for_cil_development.sh, I couldn't install the pip module (unittest-parametrize) directly with the 'conda create' command , so I have changed it to use the requirements_test.yml file if $test_deps != 0.

I tried an alternative, which is to have a separate list of pip dependencies, use conda create, then activate the conda environment and perform pip install pip_dependencies, but ran into an error saying to run conda init before I can do the installations.

in GitHub Actions, Tests using unittest-parametrize produce a TypeError: TestAstraProjectors.test_ProjectionOperator_2Ddata() missing 3 required positional arguments: 'device', 'no_error_raised', and 'err_type'

Thought this may be due to an ASTRA dependency, so added @unittest.skipUnless(has_astra and has_nvidia, "Requires ASTRA GPU") to test_ProjectionOperator_3Ddata, and @unittest.skipUnless(has_astra, "Requires ASTRA") to test_ProjectionOperator_2Ddata - Only the 3D test skips, 2D test does not skip and produces same TypeError.

No issues running tests in local env:

• python 3.10.15
• numpy 1.24.4
• unittest-parametrize 1.6.0

UPDATE: Fixed the TypeError issue on test - the version I pushed did not have the TestAstraProjectors class inherit from unittest_parametrize.ParametrizedTestCase, which is required to run the parametrized tests

Hi @M-A-Demir, this is looking good to me. Could you summarise these updates in the changelog. I think you also need to add the new dependency to the test section in recipe/meta.yaml so GHA can find it for the conda tests. You might need to investigate how to install via pip.