pmdarima/pyproject.toml at master · alkaline-ml/pmdarima · 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
[build-system]
requires = [
    "meson-python>=0.15.0",
    "numpy>=2.0.0",
    "cython>=0.29,!=0.29.18,!=0.29.31",
]
build-backend = "mesonpy"

[project]
name = "pmdarima"
dynamic = ["version"]
description = "Python's forecast::auto.arima equivalent"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
authors = [
    {name = "Taylor G. Smith", email = "taylor.smith@alkaline-ml.com"}
]
maintainers = [
    {name = "Taylor G. Smith", email = "taylor.smith@alkaline-ml.com"}
]
keywords = [
    "arima",
    "timeseries",
    "forecasting",
    "pyramid",
    "pmdarima",
    "pyramid-arima",
    "scikit-learn",
    "statsmodels"
]
classifiers = [
    "Intended Audience :: Science/Research",
    "Intended Audience :: Developers",
    "Intended Audience :: Financial and Insurance Industry",
    "Programming Language :: C",
    "Programming Language :: Python",
    "Topic :: Software Development",
    "Topic :: Scientific/Engineering",
    "Operating System :: Microsoft :: Windows",
    "Operating System :: POSIX",
    "Operating System :: Unix",
    "Operating System :: MacOS",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: Implementation :: CPython",
]
dependencies = [
    "joblib>=0.11",
    "Cython>=0.29,!=0.29.18,!=0.29.31",
    "numpy>=1.21.6",
    "pandas>=0.19",
    "scikit-learn>=0.22",
    "scipy>=1.13.0",
    "statsmodels>=0.14.5",
    "urllib3",
    "setuptools>=42,!=50.0.0",
    "packaging>=17.1",
]

[project.optional-dependencies]
test = [
    "pytest",
    "pytest-mpl",
    "pytest-benchmark",
    "matplotlib>=2.2.0",
]
dev = [
    "wheel",
    "twine>=1.13.0",
    "readme_renderer",
    "patsy",
]
all = [
    # Test dependencies
    "pytest",
    "pytest-mpl",
    "pytest-benchmark",
    "matplotlib>=2.2.0",
    # Dev dependencies
    "wheel",
    "twine>=1.13.0",
    "readme_renderer",
    "patsy",
]

[project.urls]
Homepage = "http://alkaline-ml.com/pmdarima"
Documentation = "http://alkaline-ml.com/pmdarima"
Repository = "https://github.com/alkaline-ml/pmdarima"
"Bug Tracker" = "https://github.com/alkaline-ml/pmdarima/issues"
Download = "https://pypi.org/project/pmdarima/#files"

[tool.pytest.ini_options]
testpaths = ["pmdarima"]
filterwarnings = [
    # Warnings that we raise:
    "ignore::UserWarning",
    # Warnings that statsmodels raises a lot of
    "ignore::statsmodels.tools.sm_exceptions.HessianInversionWarning",
    # statsmodels warning that doesn't apply to us
    "ignore:fft=True",
    # joblib warning that we can't control
    "ignore:tostring.*is deprecated",
    # Fixed in patsy
    "ignore:Using or importing the ABCs",
]