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Summary

Refer to #195
Update pyproject.toml to use most recent protobuf, instead of capping at 5.*
This has an inherent risk of the bleeding edge protobuf breaking Chakra.

Test Plan

pip install -e .
pip show protobuf | grep Version
Version: 5.29.5
chakra_generator
#.... Error message


# In a new conda environment
# Apply this PR
pip install -e .
pip show protobuf | grep Version 
Version: 6.31.1
chakra_generator
# No error message

Additional Notes

I still believe the long term solution to this issue is, during pip install ./pyproject.toml, not to use grpc_tools.protoc that forces a version update on its own schedule.

@jinsun-yoo jinsun-yoo requested a review from a team as a code owner August 8, 2025 05:15
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github-actions bot commented Aug 8, 2025

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

@tushar-krishna tushar-krishna merged commit 7d11c3c into mlcommons:main Sep 24, 2025
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@github-actions github-actions bot locked and limited conversation to collaborators Sep 24, 2025
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2 participants