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Very cool! Does it work? Out of curiosity, how much of this was claude able to do on its own? I no longer own a mac to test this code but this is exciting! Edit: |
setuptools-scm requires git to determine the package version from tags. The Dockerfile was missing git, causing pip install to fail in CI. Two fixes: - Install git alongside curl in the Dockerfile so setuptools-scm can read the version from the copied .git history - Add fallback_version = "0.0.0" to [tool.setuptools_scm] in pyproject.toml as a safety net for git-free environments (shallow clones, tarballs, GitHub zip archives) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Yep! I ran this example: https://github.com/tractometry/pyAFQ/blob/main/examples/howto_examples/pyAFQ_with_GPU.py, with the code on pyAFQ's main and this PR, and what an experience. 1M streamlines in 24 seconds on my Mac laptop and a full run of AFQ in under 15 minutes 🤯 |
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Provide support for Metal shaders on Apple silicon. See the Metal README for details. Highlights include:
Note: This Metal backend was written by Claude Code (Anthropic's AI coding agent), with architectural direction, validation, and iterative review from me. The port is intentionally derivative — it mirrors the naming conventions, file structure, and two-pass kernel architecture of the existing CUDA backend to minimize cognitive overhead for contributors familiar with the codebase.