lars
5b478d2831
Version bumps and release tags were entirely manual; the only CI automation was sync-version-on-tag, which corrects pyproject.toml if a hand-pushed tag drifted. This flips that: a new bump-version job (needs the four existing checks, gated to actual merge commits on master via HEAD^@'s parent count so direct/squash/rebase pushes are untouched) uses bump-my-version to auto-bump the patch version when a merged branch didn't already bump it itself, then generates a changelog entry with git-cliff and pushes a matching vX.Y.Z tag. git-cliff's cliff.toml is tuned to this repo's plain imperative commit style (no feat:/fix: prefixes): commits are grouped Added/Fixed/Removed/Changed by leading verb, "(gitea #N)" is linkified, and merge/[skip ci] commits are dropped. Per user decision during planning: the changelog generator folds in @lars's comment on the issue (asking to fold in changelog generation rather than deferring it), and CHANGELOG.md starts fresh with no backfill of v0.2.0-v0.3.3. sync-version-on-tag is left untouched as the safety net for hand-tagging. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
106 lines
2.0 KiB
TOML
106 lines
2.0 KiB
TOML
[project]
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name = "giant"
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version = "0.3.3"
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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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"pytest-cov>=5,<8",
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"ruff>=0.15,<1",
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"ty>=0.0.50,<0.1",
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"bump-my-version>=1.2,<2",
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"git-cliff>=2,<3",
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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 = "giant.tools.dwarf:app"
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[tool.ruff]
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line-length = 120
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[tool.coverage.run]
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source = ["giant"]
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omit = ["*/legacy/*"]
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[tool.coverage.report]
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exclude_also = [
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"if TYPE_CHECKING:",
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"raise NotImplementedError",
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]
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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"]
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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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