Update dependencies to latest and fix torchcodec CPU loading - #60
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- Bump direct dependency floors to their latest resolved versions and regenerate uv.lock. The torch stack now resolves to torch 2.13, torchvision 0.28, torchaudio 2.11 (its latest), and torchcodec 0.15, alongside transformers 5.14, pytorch-lightning 2.6.5, mypy 2.3, ruff 0.15, pytest 9.1, wandb 0.28, and others. - Bump torchcodec 0.11 -> 0.15 (latest; supports torch >= 2.11). - Lift the numpy<2.4 cap. numba now bounds numpy transitively, so the explicit cap is unnecessary and the resolver picks the latest compatible numpy on its own. - Remove the invalid [tool.uv] torch-backend field, which is unknown to uv and emitted a TOML parse warning on every invocation. - Delete the stale autogenerated requirements.txt; uv.lock is the single source of truth for pinned versions. - CI: after uv sync, reinstall CPU-only torch/torchaudio/torchvision/ torchcodec wheels from the PyTorch CPU index and verify torchcodec's AudioDecoder imports. The PyPI torchcodec wheel links CUDA NPP (libnppicc), which is absent on CPU-only runners; the CPU wheels do not. Also bump checkout/setup-python action versions. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CnieBtBKfRzKAYpc7N7hWP
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The pedalboard 0.9.24 cp313 wheel aborts with "Fatal Python error: Illegal instruction" (SIGILL) on GitHub Actions runners, failing the build (3.13) job at import time. The cp311/cp312 wheels are fine, so this is specific to the 0.9.24 (and 0.9.23) 3.13 build. Pin back to 0.9.22, which is the version main already locks and CI validated across all three Python versions. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CnieBtBKfRzKAYpc7N7hWP
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https://claude.ai/code/session_01CnieBtBKfRzKAYpc7N7hWP