tensorflow-metadata version requirement is too strict
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 35/100
Research direction
Start by locating the package metadata that declares the tensorflow-metadata Python requirement and check how its supported Python versions are tested. Confirm the intended version range from the package configuration and installation checks; done means compatible supported Python versions are accepted without breaking existing requirements.
Written by the indexing model from the issue text.
Description
I got an error while attempting to pip install magenta The diagnosis at GitHub Magenta Issue #1422 - pip: No matching distribution found for tensorflow-metadata can be paraphrased as "It's a tensorflow-metadata issue, not ours". Specifically:
Yeah, this is because the tensorflow-metadata version requirement is too strict. Their python_requires of '>=2.7,<=3.7' will accept only up to Python 3.7.0. Can you file a bug on their repo (https://github.com/tensorflow/metadata/issues)? I'll close this bug since it's not a Magenta issue. Thanks!
- Dominant language
- Python
- Stars
- 110
- Forks
- 62
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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