0778a61360
giant train --wandb logs the same per-epoch metrics already written to metrics.csv, so wandb stays an optional extra (`uv sync --extra wandb`) that nothing else depends on. A run's id is derived from the checkpoint out_dir so --resume reattaches to the existing run instead of starting a new one. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
90 lines
1.7 KiB
TOML
90 lines
1.7 KiB
TOML
[project]
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name = "giant"
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version = "0.1.0"
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description = "Geant4 step-function surrogate via conditional flow matching"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"numpy>=1.26,<3",
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"pandas>=2.2,<4",
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"pyarrow>=16,<25",
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"tqdm>=4.60,<5",
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"typer>=0.12,<1",
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"pyyaml>=6,<7",
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"particle>=1.0,<2",
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]
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[project.optional-dependencies]
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cpu = [
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"torch>=2.3,<2.4",
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]
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cuda = [
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"torch>=2.3,<2.4",
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]
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dev = [
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"pytest>=8,<10",
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"ruff>=0.15,<1",
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"ty>=0.0.50,<0.1",
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"giant[convert,analysis,geometry,wandb]",
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]
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geometry = [
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"scikit-learn>=1.4,<2",
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]
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wandb = [
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"wandb>=0.16,<1",
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]
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convert = [
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"uproot>=5.3,<6",
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"awkward>=2.6,<3",
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"polars>=1.0,<2",
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]
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analysis = [
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"matplotlib>=3.8,<4",
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"polars>=1.0,<2",
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"ipykernel>=7.3.0",
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# KIT matplotlib theme, published from git.larsbogner.de. Only the local
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# `giant analyze render` step imports it; compute workers never do.
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"plotstyle>=1.0.0",
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]
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[project.scripts]
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giant = "giant.cli:app"
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dwarf = "scripts.dwarf:app"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["giant", "scripts"]
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[tool.uv]
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conflicts = [
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[
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{ extra = "cpu" },
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{ extra = "cuda" },
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],
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]
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cpu", extra = "cpu" },
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{ index = "pytorch-cu118", extra = "cuda" },
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]
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plotstyle = { index = "larsbogner" }
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[[tool.uv.index]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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explicit = true
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[[tool.uv.index]]
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name = "pytorch-cu118"
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url = "https://download.pytorch.org/whl/cu118"
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explicit = true
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[[tool.uv.index]]
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name = "larsbogner"
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url = "https://git.larsbogner.de/api/packages/lars/pypi/simple/"
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explicit = true
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