-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathpyproject.toml
More file actions
105 lines (95 loc) · 2.58 KB
/
pyproject.toml
File metadata and controls
105 lines (95 loc) · 2.58 KB
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
[build-system]
requires = ["setuptools>61", "wheel", "toml", "build"]
build-backend = "setuptools.build_meta"
[project]
name = "deep-rehab-pile"
version = "0.1.2"
description = "Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark"
readme = { file = "README.md", content-type = "text/markdown" }
authors = [
{name = "Ali Ismail-Fawaz", email = "ali-el-hadi.ismail-fawaz@uha.fr"},
{name = "Maxime Devanne", email = "maxime.devanne@uha.fr"},
{name = "Stefano Berretti", email = "stefano.berretti@unifi.it"},
{name = "Jonathan Weber", email = "jonathan.weber@uha.fr"},
{name = "Germain Forestier", email = "germain.forestier@uha.fr"}
]
maintainers = [
{name = "Ali Ismail-Fawaz", email = "ali-el-hadi.ismail-fawaz@uha.fr"},
{name = "Maxime Devanne", email = "maxime.devanne@uha.fr"}
]
requires-python = ">=3.11"
license = {text = "GPL-3.0-only"}
keywords = [
"data-science",
"machine-learning",
"data-mining",
"time-series",
"human-motion",
"human-motion-analysis",
"classification",
"regression",
"time-series-analysis",
"time-series-classification",
"time-series-regression",
"human-rehabilitation-assessment"
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12"
]
dependencies = [
"tensorflow==2.16.1",
"keras>=3.6.0",
"numpy==1.26.4",
"scikit-learn==1.4.2",
"aeon==1.2.0",
"hydra-core==1.3.2",
"omegaconf==2.3.0",
"pandas==2.0.3",
"matplotlib==3.9.0"
]
[project.urls]
Homepage = "https://msd-irimas.github.io/pages/DeepRehabPile/"
Repository = "https://github.com/MSD-IRIMAS/DeepRehabPile"
Download = "https://pypi.org/project/deep-rehab-pile/#files"
[project.optional-dependencies]
dev = [
"black",
"flake8",
"mypy",
"pytest",
"pytest-cov",
"pytest-xdist",
"pytest-timeout",
"pytest-rerunfailures",
"pre-commit"
]
[tool.setuptools]
packages = ["deep_rehab_pile"]
[tool.ruff.lint]
select = ["D"]
[tool.ruff.lint.pydocstyle]
convention = "numpy"
[tool.pytest.ini_options]
testpaths = [
"deep_rehab_pile"
]
addopts = '''
--doctest-modules
--durations 20
--timeout 600
--showlocals
--dist worksteal
--reruns 2
--only-rerun "crashed while running"
-v
'''
filterwarnings = '''
ignore::UserWarning
ignore:numpy.dtype size changed
ignore:numpy.ufunc size changed
'''