Commit ·
3c84acc
1
Parent(s): 05bbd9c
chore: target Python 3.12
Browse files- README.md +4 -2
- pyproject.toml +2 -2
- uv.lock +0 -0
README.md
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@@ -32,8 +32,10 @@ uv sync --extra ml
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For Perlmutter or other HPC systems, follow the site-specific PyTorch/DGL
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installation guidance for the loaded CUDA module rather than encoding a CUDA
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wheel URL in this project.
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-
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See [`docs/migration.md`](docs/migration.md) for migration rules and
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[`docs/architecture.md`](docs/architecture.md) for the target design.
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For Perlmutter or other HPC systems, follow the site-specific PyTorch/DGL
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installation guidance for the loaded CUDA module rather than encoding a CUDA
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wheel URL in this project. In particular, the currently resolved PyPI DGL
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2.2.1 distribution has no Linux wheel, so the `ml` extra is not currently
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installable on this Linux host without a site-provided or source-built DGL.
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Training and inference workflows are not yet implemented.
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See [`docs/migration.md`](docs/migration.md) for migration rules and
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[`docs/architecture.md`](docs/architecture.md) for the target design.
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pyproject.toml
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@@ -7,7 +7,7 @@ name = "gnn4colliders"
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version = "0.1.0"
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description = "Graph neural network tools for collider event analysis."
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readme = "README.md"
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requires-python = ">=3.
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dependencies = [
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"awkward>=2.0",
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"hydra-core>=1.3",
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@@ -38,7 +38,7 @@ addopts = "-ra"
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[tool.ruff]
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line-length = 88
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target-version = "
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src = ["src"]
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exclude = ["legacy"]
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version = "0.1.0"
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description = "Graph neural network tools for collider event analysis."
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"awkward>=2.0",
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"hydra-core>=1.3",
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[tool.ruff]
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line-length = 88
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target-version = "py312"
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src = ["src"]
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exclude = ["legacy"]
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uv.lock
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