data-analysis-python/pyproject.toml at main · jsdodge/data-analysis-python · 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
122
123
124
125
126
127
128
129
130
131
132
133
134
[project]
name = "data-analysis-python"
dynamic = ["version"]
description = 'Instructional materials for learning data analysis in the physical sciences'
readme = "README.md"
requires-python = ">=3.8"
license = ["MIT",
  "CC-BY-4.0"
]
keywords = []
authors = [
  { name = "J. Steven Dodge", email = "jsdodge@sfu.ca" },
]
classifiers = [
  "Development Status :: 4 - Beta",
  "Framework :: Jupyter",
  "Intended Audience :: Education",
  "Intended Audience :: Science/Research",
  "License :: OSI Approved :: MIT License",
  "Natural Language :: English",
  "Operating System :: OS Independent",
  "Programming Language :: Python",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: Implementation :: CPython",
  "Programming Language :: Python :: Implementation :: PyPy",
  "Topic :: Education",
  "Topic :: Scientific/Engineering :: Mathematics",
  "Topic :: Scientific/Engineering :: Physics",
  "Topic :: Scientific/Engineering :: Visualization",
]
dependencies = ["jupyter",
  "jupyterlab",
  "matplotlib",
  "notebook",
  "numpy",
  "scipy",
]

[project.urls]
Issues = "https://github.com/jsdodge/data-analysis-python/issues"
Source = "https://github.com/jsdodge/data-analysis-python"

[tool.hatch.version]
path = "__about__.py"

[tool.hatch.envs.default]

#[[tool.hatch.envs.all.matrix]]
#python = ["3.8", "3.9", "3.10", "3.11", "3.12"]

[tool.hatch.envs.lint]
detached = true
dependencies = [
  "black>=23.1.0",
  "mypy>=1.0.0",
  "nbqa[toolchain]",
  "ruff>=0.0.243",
]
[tool.hatch.envs.lint.scripts]
typing = "nbqa mypy --ignore-missing-imports {args:notebooks}"
style = "nbqa ruff {args:notebooks}"
fmt = "nbqa black {args:notebooks}"
all = [
  "style",
  "typing",
  "fmt",
]

[tool.nbqa.exclude]
ruff = "notebooks/scratch"

[tool.black]
target-version = ["py310"]
line-length = 120
skip-string-normalization = true

[tool.ruff]
target-version = "py310"
line-length = 120
select = [
  "A",
  "ARG",
  "B",
  "C",
  "DTZ",
  "E",
  "EM",
  "F",
  "FBT",
  "I",
  "ICN",
  "ISC",
  "N",
  "PLC",
  "PLE",
  "PLR",
  "PLW",
  "Q",
  "RUF",
  "S",
  "T",
  "TID",
  "UP",
  "W",
  "YTT",
]
ignore = [
  # Allow non-abstract empty methods in abstract base classes
  "B027",
  # Allow boolean positional values in function calls, like `dict.get(... True)`
  "FBT003",
  # Ignore checks for possible passwords
  "S105", "S106", "S107",
  # Ignore complexity
  "C901", "PLR0911", "PLR0912", "PLR0913", "PLR0915",
  # Ignore print statements
  "T201",
  # Ignore imports that are not at the top
  "E402",
]
unfixable = [
  # Don't touch unused imports
  "F401",
]

[tool.ruff.per-file-ignores]
# Ignore "useless expressions" in NB 0.0
"**/0.0-Introduction-to-Python*" = ["B018", "Q000"]

[tool.ruff.isort]
known-first-party = ["data-analysis-python"]

[tool.ruff.flake8-tidy-imports]
ban-relative-imports = "all"