create_stem_images problem with numpy

[ercius]

stempy.image.create_stem_images might have an issue with numpy 2.0. The below code does not work in a new image on NERSC using numpy version '2.2.6'. It works on the stempy-ipykernel which uses 1.26.4
bf_reference = stim.create_stem_images(sa,(0,), (100,), center=(288,288))

I get this error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[115], line 1
----> 1 bf_reference = stim.create_stem_images(sa,(0,), (100,), center=center)
      3 all_shifts = np.zeros((2, num, num))
      4 for ii,imgs in enumerate(bfs):

File /opt/conda/lib/python3.11/site-packages/stempy/image/__init__.py:122, in create_stem_images(input, inner_radii, outer_radii, scan_dimensions, center, frame_dimensions, frame_offset)
    118     raise Exception('Type of input, ' + str(type(input)) +
    119                     ', is not known to stempy.image.create_stem_images()')
    121 images = [np.array(img, copy=False) for img in imgs]
--> 122 return np.array(images, copy=False)

ValueError: Unable to avoid copy while creating an array as requested.
If using `np.array(obj, copy=False)` replace it with `np.asarray(obj)` to allow a copy when needed (no behavior change in NumPy 1.x).
For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.

These images are so small that a copy is probably ok. Im not sure of the reason for the copy=False

[ercius]

This is fixed by #336 and tested using stempy v3.4.1