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giant/pyproject.toml
T
lars 0778a61360
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Add opt-in Weights & Biases logging for the training loop
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>
2026-07-27 16:07:30 +02:00

90 lines
1.7 KiB
TOML

[project]
name = "giant"
version = "0.1.0"
description = "Geant4 step-function surrogate via conditional flow matching"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"numpy>=1.26,<3",
"pandas>=2.2,<4",
"pyarrow>=16,<25",
"tqdm>=4.60,<5",
"typer>=0.12,<1",
"pyyaml>=6,<7",
"particle>=1.0,<2",
]
[project.optional-dependencies]
cpu = [
"torch>=2.3,<2.4",
]
cuda = [
"torch>=2.3,<2.4",
]
dev = [
"pytest>=8,<10",
"ruff>=0.15,<1",
"ty>=0.0.50,<0.1",
"giant[convert,analysis,geometry,wandb]",
]
geometry = [
"scikit-learn>=1.4,<2",
]
wandb = [
"wandb>=0.16,<1",
]
convert = [
"uproot>=5.3,<6",
"awkward>=2.6,<3",
"polars>=1.0,<2",
]
analysis = [
"matplotlib>=3.8,<4",
"polars>=1.0,<2",
"ipykernel>=7.3.0",
# KIT matplotlib theme, published from git.larsbogner.de. Only the local
# `giant analyze render` step imports it; compute workers never do.
"plotstyle>=1.0.0",
]
[project.scripts]
giant = "giant.cli:app"
dwarf = "scripts.dwarf:app"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["giant", "scripts"]
[tool.uv]
conflicts = [
[
{ extra = "cpu" },
{ extra = "cuda" },
],
]
[tool.uv.sources]
torch = [
{ index = "pytorch-cpu", extra = "cpu" },
{ index = "pytorch-cu118", extra = "cuda" },
]
plotstyle = { index = "larsbogner" }
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
[[tool.uv.index]]
name = "pytorch-cu118"
url = "https://download.pytorch.org/whl/cu118"
explicit = true
[[tool.uv.index]]
name = "larsbogner"
url = "https://git.larsbogner.de/api/packages/lars/pypi/simple/"
explicit = true