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minkj1992 avatar minkj1992 commented on June 2, 2024

I also tried $ dev/dev-env-setup.sh -d .venvs/mlflow-dev -o 3.9 (#9754, #9751 cc @harupy )

but still got pydantic and tensorflow-cpu error.

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.
fastapi 0.89.1 requires pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2, but you have pydantic 2.6.0 which is incompatible.
ERROR: Could not find a version that satisfies the requirement tensorflow-cpu<=2.12.0 (from versions: none)
ERROR: No matching distribution found for tensorflow-cpu<=2.12.0
  • pydantic is from rstcheck==6.1.1 in lint-requirements.txt
  • tensorflow-cpu is from tensorflow-cpu<=2.12.0 in doc-requirements.txt

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minkj1992 avatar minkj1992 commented on June 2, 2024

FYI, I just manually fixed this issue by

  1. explictly set rstcheck-core==1.0.3
  2. revert tensorflow-cpu to tensorflow (#9754 )
  3. pip cache purge && rm -rf .venv/[MY ENV]
  4. dev/dev-env-setup.sh -d .venvs/mlflow-dev -o 3.9

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github-actions avatar github-actions commented on June 2, 2024

@mlflow/mlflow-team Please assign a maintainer and start triaging this issue.

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