NLSA/Python/pyproject.toml at master · dg227/NLSA · 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
[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "nlsa"
version = "0.4"
description = "Data-driven algorithms for dynamical systems"
readme = "README.md"
requires-python = ">=3.13"
license = { file = "LICENSE.txt" }
keywords = ["kernel methods", "dynamical systems", "scientific computing"]
authors = [
    { name = "Dimitris Giannakis", email = "dimitrios.giannakis@dartmouth.edu" },
]
maintainers = [
    { name = "Dimitris Giannakis", email = "dimitrios.giannakis@dartmouth.edu" },
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Data Scientists, Scientific Programmers, Developers",
    "Topic :: Scientific Computing",
    "License :: OSI Approved :: BSD-3-Clause",
    "Programming Language :: Python :: 3 :: Only",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3.14",
    "Programming Language :: Python :: 3.15",
]

dependencies = [
    "cfgrib",
    "diffrax",
    "ipympl",
    "ipywidgets",
    "h5py",
    "jax",
    "jaxopt",
    "jaxtyping",
    "jupyterlab",
    "matplotlib",
    "more-itertools",
    "nc_time_axis",
    "netCDF4",
    "numpy",
    "opt_einsum",
    "pandas",
    "qiskit",
    "scikit-learn",
    "scipy",
    "seaborn",
    "sympy",
    "tabulate",
    "tensorflow-probability",
    "typeguard",
    "typing_extensions",
    "xarray"
]

[project.optional-dependencies]
cuda = [
    "jax[cuda]==0.8.0"
]
cuda13 = [
    "jax[cuda13]"
]
jax08 = [
    "jax[cuda13]==0.8.0"
]
xarray_complete = [
    "xarray[complete]"
]

dev = [
    "flake8",
    "h5py-stubs",
    "jupyterlab-vim",
    "mypy",
    "nb_mypy",
    "pandas-stubs",
    "pyright",
    "pytest",
    "rich",
    "ruff",
    "scipy-stubs"
]

[tool.pytest.ini_options]
testpaths = [
    "tests",
]
addopts = [
    "--cov=nlsa",
    "--ignore=past"
]

[project.urls]
"Homepage" = "https://dg227.github.io/NLSA"

[tool.mypy]
mypy_path = "src"
check_untyped_defs = true
disallow_any_generics = true
ignore_missing_imports = true
no_implicit_optional = true
show_error_codes = true
strict_equality = true
warn_redundant_casts = true
warn_return_any = true
warn_unreachable = true
warn_unused_configs = true
no_implicit_reexport = true
plugins = "numpy.typing.mypy_plugin"

[tool.pyright]
pythonVersion = "3.15"
include = ["src"]
exclude = ["**/node_modules",
    "**/__pycache__"
]
typeCheckingMode = "strict"
reportUnusedVariable = "error"

[tool.ruff]
target-version = "py313"
line-length = 79

[tool.ruff.lint]
select = ["E", "F", "D", "N", "UP"]
extend-safe-fixes = ["UP045"]

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