causarray/pyproject.toml at main · jaydu1/causarray · 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
[build-system]
requires = ["setuptools>=45", "setuptools_scm[toml]>=6.2", "wheel", "hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.sdist]
only-packages = true
include = ["causarray"]
exclude = ["/docs", "/tests", "/tutorial", "/paper"]

[tool.hatch.build.targets.wheel]
packages = ["causarray"]


[project]
name = "causarray"
dynamic = ["version"]
requires-python = ">= 3.8"
dependencies = [
    "pip",
    "numpy",
    "numba",
    "pandas",
    "scipy",
    "scikit-learn",
    "statsmodels",
    "tqdm",
    "joblib",
    "matplotlib",
    "sklearn_ensemble_cv",
]
authors = [
  {name = "Jin-Hong Du", email = "jinhongd@andrew.cmu.com"},
  {name = "Maya Shen", email = "myshen@andrew.cmu.edu"},
  {name = "Hansruedi Mathys", email = "mathysh@pitt.edu"},
  {name = "Kathryn Roeder", email = "jinhongd@andrew.cmu.com"}
]
maintainers = [
  {name = "Jin-Hong Du", email = "jinhongd@andrew.cmu.com"}
]
description = "causarray is a Python module for simultaneous causal inference with an array of outcomes."
readme = {file = "README.md", content-type = "text/markdown"}
license = {text = "MIT License"}

classifiers = [

    "Programming Language :: Python :: 3",

    "License :: OSI Approved :: MIT License",

    "Intended Audience :: Developers",

    # Add more classifiers as needed

]


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

[tool.hatch.version.raw-options]
local_scheme = "no-local-version"