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Currently the installation script installs the kernel to the base Python library. However, on HPCs that use environment modules it is common to install additional Python packages to user-specific libraries, since users in general do not have permissions to write to the base library. This cannot be specified in case of this kernel and leads to an error when trying to install it on HPC ("[Errno 13] Permission denied: ...").
The text was updated successfully, but these errors were encountered:
Thank you for using MATLAB Integration for Jupyter and reporting back.
Can you clarify at which point you are facing the "Permission Denied" error message? Is it when you install the package using pip install jupyter-matlab-proxy or when you run install-matlab-kernelspec.
Can you give more information about the environment in which the package is installed. We have a troubleshooting script to collect this information. Please follow the instructions here.
Can you also provide reproduction steps to reproduce this issue.
Details of the feature
Currently the installation script installs the kernel to the base Python library. However, on HPCs that use environment modules it is common to install additional Python packages to user-specific libraries, since users in general do not have permissions to write to the base library. This cannot be specified in case of this kernel and leads to an error when trying to install it on HPC ("[Errno 13] Permission denied: ...").
The text was updated successfully, but these errors were encountered: