Publish fasttext-predict-v2 sdist and Linux ARM64 wheels for Python 3.14
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Quiet
- Tech stack
- linux, python
- Domain
- build-system, ci-cd, devops
Research direction
Start by checking RapidDoc's dependency metadata for fasttext-predict-v2 and identify where its release and CI configuration are maintained. Confirm that the package publishes a source distribution and CPython 3.14 Linux ARM64 wheel, then verify the built ARM64 wheel with an import smoke test; if ownership is external, document the upstream issue or metadata link instead.
Written by the indexing model from the issue text.
Description
Environment
- Linux ARM64 (aarch64)
- CPython 3.14
- uv
- rapid-doc 0.9.9
Problem
rapid-doc 0.9.9 selects fasttext-predict-v2>=1.0.0,<=1.0.1 on Python 3.14. PyPI currently publishes CPython 3.14 Linux x86_64 wheels and a macOS ARM64 wheel, but no Linux ARM64 wheel and no source distribution.
A native Linux ARM64 install therefore fails during resolution:
Distribution fasttext-predict-v2==1.0.1 can't be installed because it
doesn't have a source distribution or wheel for the current platform
(Linux aarch64, CPython 3.14).
FastText itself works on ARM64. As a temporary downstream workaround, we built fasttext-predict==0.9.2.4 from its sdist on CPython 3.14/Linux ARM64. The extension also needed an explicit libstdc++ link (for example CXX=g++ LDFLAGS=-lstdc++); without that, importing fasttext failed with an undefined C++ ABI symbol.
Request
Could the fasttext-predict-v2 release used by RapidDoc please provide:
- a source distribution on PyPI, so unsupported architectures can build locally;
- manylinux ARM64 wheels, especially CPython 3.14;
- a CI smoke test that imports
fasttextfrom the built ARM64 wheel?
If the package repository is maintained elsewhere, a source/issue-tracker link in the PyPI metadata would also make it easier to report this directly. RapidDoc could alternatively allow the source-buildable fasttext-predict fallback on Linux ARM64 until v2 publishes that artifact matrix.
- Dominant language
- Python
- Stars
- 233
- Forks
- 42
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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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