[pull] master from deepmodeling:master - #302
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## Summary - allow Paddle-only C++ matrix entries to fail without cancelling or blocking the other backend jobs - temporarily disable Paddle installation and tests in the CUDA workflow - replace the manual uv installer with astral-sh/setup-uv@v9, pin uv 0.12.0, and limit macOS dependency downloads to avoid runner socket-buffer exhaustion ## Failure analysis The referenced macOS ARM job successfully built and repaired the wheel. It failed while installing wheel test dependencies because downloading lmdb raised No buffer space available (os error 55). The macOS wheel remains blocking so release runs cannot silently publish without that artifact; limiting uv download concurrency targets the observed runner resource failure. ## Validation - prek run --files .github/workflows/test_cc.yml .github/workflows/test_cuda.yml .github/workflows/build_wheel.yml - ruff check . - ruff format . - actionlint on the changed workflows, excluding existing custom-runner and undefined optional matrix-field diagnostics Coding agent: Codex Codex version: codex-cli 0.144.6 Model: gpt-5.6-sol Reasoning effort: xhigh <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Chores** * Improved wheel build reliability across supported operating systems. * Limited macOS build download concurrency for more consistent performance. * **Tests** * Improved test workflow resilience when Paddle-enabled checks encounter failures. * Disabled Paddle-specific setup in CUDA test runs. * Allowed CUDA and backend checks to continue independently when Paddle is unavailable. * Continued requiring TensorFlow and PyTorch for applicable test runs. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Co-authored-by: njzjz-bot <njzjz-bot@users.noreply.github.com>
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