Fix deprecation warnings on tests.

[ambarb]

tests/test_image.py::test_images_mean
  /nsls2/users/abarbour/Repos/csxtools/tests/test_image.py:85: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
    x = np.array([np.repeat(ii*np.ones(ii*100, dtype=np.float32), 400).reshape(

tests/test_image.py::test_images_sum
  /nsls2/users/abarbour/Repos/csxtools/tests/test_image.py:92: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
    x = np.array([np.repeat(ii*np.ones(ii*100, dtype=np.float32), 400).reshape(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

[ambarb]

code to generate:

python setup.py develop
pip install pytest coverage setuptools
python run_tests.py
coverage run run_tests.py 
coverage report -m

@danielballan would love to pair code to resolve this with csxtools upgrade (and likely address the same issues in the python modules)

most recent documentation of errors in the PR #83

[ambarb]

this seems broken with numpy version 1.24.4 and integrated CI from GHA
#92 (review)

once unit test passes, check https://github.com/NSLS-II-CSX/csxtools/blob/master/requirements.txt to make sure that we enforce the earliest version that is compatible

[ambarb]

deprecation warnings are present (but unit tests maybe pass) for
conda env 2023-1.2-py39-tiled
numpy.__version__ = '1.23.5'

[padraic-shafer]

This appears to no longer be an issue with conda env 2023-1.2-py39-tiled
https://github.com/padraic-shafer/csxtools/actions/runs/9183958306/job/25255505812

I've added PR #96 so that the unit tests for csxtools can run on recent conda environments when changes get pushed.

[ambarb]

great. should we close the now?

[padraic-shafer]

That works for me.