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- kernal hangs after view function in the notebook.
- docker pull nvcr.io/nvidia/pytorch:24.03-py3
- run the example, kernal hangs after view called.
- After install
itkwidgets[notebook]>=1.0a49
, look like there will be a requirement compatibility issues for pandas, not sure whether it's related the issue.
Collecting pandas>=2.0.0 (from dask-image->ngff-zarr[dask-image]>=0.4.3->itkwidgets>=1.0a49->itkwidgets[notebook]>=1.0a49)
Downloading pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
cudf 24.2.0 requires pandas<1.6.0dev0,>=1.3, but you have pandas 2.2.2 which is incompatible.
dask-cuda 24.2.0 requires pandas<1.6.0.dev0,>=1.3, but you have pandas 2.2.2 which is incompatible.
dask-cudf 24.2.0 requires pandas<1.6.0dev0,>=1.3, but you have pandas 2.2.2 which is incompatible.
- After install the itkwidgets and exiting the Jupyter notebook, trying to launch the notebook again leads to a configuration error. It appears that the installation of itkwidgets is causing a disruption in the configuration settings.

Nic-Ma
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