Add tests of quality of DIPOL polarimetric results (one with a polarization standard star, another one with a blazar).
Add some more tests of the web interface (test of successful login, test of failed login).
Remove _build_wcs_for_polarimetry_images_catalog_matching. It is error prone, too complex to follow, and not significantly used. Whatever sources it was used for, can be solved using the others methods, maybe with some fine tuning. E.g. for the last half a year (as of 2024/08/18), it only reduced < 2 % of the DIPOL images:
Change the way the results and files that are to be used for testing are specified. Now, the results being tested are specified by one of the files used for the result. This makes it easier to re-build the test dataset from zero, since the fileloc of the file does not change, contrary to the primary key of the result, which might change in subsequent reductions. The fileloc is indicated in a list in build_test_dataset.py, together with comments showing the results.
Add tests of quality of DIPOL polarimetric results (one with a polarization standard star, another one with a blazar).
Add some more tests of the web interface (test of successful login, test of failed login).
Remove
_build_wcs_for_polarimetry_images_catalog_matching. It is error prone, too complex to follow, and not significantly used. Whatever sources it was used for, can be solved using the others methods, maybe with some fine tuning. E.g. for the last half a year (as of 2024/08/18), it only reduced < 2 % of the DIPOL images:Change the way the results and files that are to be used for testing are specified. Now, the results being tested are specified by one of the files used for the result. This makes it easier to re-build the test dataset from zero, since the fileloc of the file does not change, contrary to the primary key of the result, which might change in subsequent reductions. The fileloc is indicated in a list in
build_test_dataset.py, together with comments showing the results.