numpy arrays in slm_image break repr

[hinderling]

Using an np.array in SLMImage leads to an error in _non_default_repr_args when validating the fields.

Code to reproduce:

img_255 = (np.ones((slm_height,slm_width))*255).astype(np.uint8)
event_slm_all_on = MDAEvent(slm_image=SLMImage(data=img_255,device=slm_dev))
mmc.mda.run([event_slm_all_on])

Error:
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

As discussed here:
pymmcore-plus/pymmcore-plus#406 (comment)