Initial release: E1 genus probe package moved out of the E01 workflow
- src/custom_models torch modules, store, training, metrics, runner and CLI (package-relative imports for pip installability) - test suite (49 tests) + conftest with fast synthetic-store fixtures - uv-managed dev env (pyproject + CPU torch index), hatchling build - README: uv for the package, pip install into conda envs for the workflow
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[build-system]
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requires = ["hatchling>=1.25"]
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build-backend = "hatchling.build"
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[project]
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name = "custom-models"
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version = "0.1.0"
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description = "E1 genus probe: torch models and train/validate/test wrapper"
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readme = "README.md"
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requires-python = ">=3.11"
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license = { text = "MIT" }
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authors = [{ name = "Tom Kasper" }]
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dependencies = [
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"numpy>=2.0,<3",
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"polars>=1.0",
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"torch>=2.6",
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]
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[project.optional-dependencies]
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pod5 = ["pod5"]
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dev = ["pytest>=8", "ruff>=0.8", "pod5"]
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[project.scripts]
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custom-models = "custom_models.cli:main"
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[tool.hatch.build.targets.wheel]
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packages = ["src/custom_models"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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addopts = "-q"
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[tool.ruff]
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line-length = 100
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src = ["src", "tests"]
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[tool.ruff.lint]
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select = ["E", "F", "W", "D", "B", "RUF", "TRY", "I"]
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ignore = [
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"TRY003", # long messages are the run-artifact contract here
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"TRY004", # ValueError (not TypeError) on config/type misuse: deliberate
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"TRY300",
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"B905", # explicit strict in zip() is noisy for internal iteration
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]
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[tool.ruff.lint.per-file-ignores]
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"tests/*" = ["D103", "D401"]
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# UV: dev/build environment resolves torch from the CPU wheel index so the
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# venv stays small. pip installs into the workflow's conda envs ignore this
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# (torch comes from conda there and satisfies the requirement).
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[tool.uv]
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index-strategy = "unsafe-best-match"
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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.sources]
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torch = { index = "pytorch-cpu" }
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