ablate/pyproject.toml at main · ramppdev/ablate · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
[project]
name = "ablate"
version = "0.2.3"
description = "ablate turns deep learning experiments into structured, human-readable reports."
authors = [{ name = "Simon Rampp", email = "simon@rampp.dev" }]
license = { text = "MIT" }
readme = "README.rst"
requires-python = ">=3.10"
keywords = [
    "machine learning",
    "deep learning",
    "experiment tracking",
    "reporting",
    "markdown",
]

classifiers = [
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Operating System :: OS Independent",
]

dependencies = [
    "matplotlib>=3.10.3",
    "pandas>=2.2.3",
    "pydantic>=2.11.4",
    "pyyaml>=6.0.2",
    "seaborn>=0.13.2",
    "tabulate>=0.9.0",
]

[dependency-groups]
dev = [
    "codespell>=2.4.1",
    "mypy==1.16.0",
    "pandas-stubs>=2.2.3.250527",
    "pre-commit==4.2.0",
    "pytest>=8.3.5",
    "pytest-cov>=6.1.1",
    "ruff==0.11.8",
    "tomli>=2.2.1",
    "twine>=6.2.0",
    "types-pyyaml>=6.0.12.20250516",
    "types-seaborn>=0.13.2.20250516",
]
docs = [
    "catppuccin[pygments]>=2.4.1",
    "pydata-sphinx-theme>=0.16.1",
    "sphinx>=8.1.3",
    "sphinx-argparse>=0.5.2",
    "sphinx-autodoc-typehints>=3.0.1",
    "sphinx-copybutton>=0.5.2",
    "sphinx-design>=0.6.1",
    "sphinxcontrib-jquery>=4.1",
    "tree-sitter>=0.24.0",
    "tree-sitter-python>=0.23.6",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project.optional-dependencies]
mlflow = ["mlflow>=2.22.0"]
jupyter = ["jupyter>=1.1.1"]
tensorboard = ["tensorboard>=2.19.0"]
wandb = ["wandb>=0.19.11"]
clearml = ["clearml>=2.0.0"]

[tool.ruff]
line-length = 88
target-version = "py310"

[tool.ruff.format]
docstring-code-format = true

[tool.ruff.lint]
select = [
    "F",
    "E",
    "W",
    "I",
    "N",
    "Q",
    "ANN",
    "BLE",
    "B",
    "C4",
    "ISC",
    "ICN",
    "LOG",
    "G",
    "PYI",
    "PT",
    "RET",
    "SIM",
    "TC",
    "ERA",
]
ignore = ["E741", "N812", "N806", "N802", "ANN401"]

[tool.ruff.lint.isort]
known-first-party = ["ablate"]
force-sort-within-sections = true
lines-after-imports = 2

[tool.pytest.ini_options]
addopts = "--cov=ablate --cov-report=term-missing"
testpaths = "tests"
filterwarnings = ["ignore::DeprecationWarning:jupyter_client.connect"]

[tool.codespell]
skip = "uv.lock"

[tool.mypy]
files = ["ablate", "tests"]
explicit_package_bases = true
ignore_missing_imports = true