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The protobuf version that gets installed alongside mlrun is pretty old, though. (3.20.3)
Perhaps an upgrade to a newer version is necessary. (latest: 5.26.0)
Hey @fschlz , the protobuf version we use is not supported on arm64 so we use a conda environment to emulate x86_64.
I'm assuming you have arm64 mac and that you are using python venv by the description of the issue. If that is the case, please use a conda env instead. Using conda on top of arm64 is required for now until all of our dependencies will work smoothly on both architectures with python venv. Currently we cannot upgrade protobuf due to the following issue - https://stackoverflow.com/questions/72441758/typeerror-descriptors-cannot-not-be-created-directly
MLRun Version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of MLRun CE.
Reproducible Example
Issue Description
Importing mlrun in a notebook after installing it throws the following error:
Trying to install protobuf via poetry leads to issues with dependency resolution:
Expected Behavior
I would expect all dependencies to be declared and installed.
Installation OS
Mac
Installation Method
Docker
Python Version
3.10.13
MLRun Version
1.6.1
Additional Information
No response
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