Default installation is broken due to numpy incompatibility

[adrianloy]

I followed the instructions in the readme and did

pip install "pyside6==6.4.2"
pip install napari-deeplabcut

This results in a broken installation, launching napari results in:

  File "pydantic/main.py", line 341, in pydantic.main.BaseModel.__init__
pydantic.error_wrappers.ValidationError: 1 validation error for ConstantStringEncoding
constant
  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. (type=value_error)

The issue seems to be incompatibility to numpy v2, which gets installed per default, running

pip install "numpy<2.0.0" 

Solved the issue for me. I think having an upper bound in the numpy requirements should fix the issue for now.

[MMathisLab]

@n-poulsen lets pin this; latest updates to numpy are not yet working with pandas etc