-
Notifications
You must be signed in to change notification settings - Fork 2
/
setup.cfg
125 lines (117 loc) · 2.69 KB
/
setup.cfg
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
[metadata]
author = The NiPreps Developers
author_email = nipreps@gmail.com
classifiers =
Development Status :: 4 - Beta
Intended Audience :: Science/Research
Topic :: Scientific/Engineering :: Image Recognition
License :: OSI Approved :: Apache Software License
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
description = PETPrep is a robust and easy-to-use pipeline for preprocessing of diverse PET data.
license = Apache License, Version 2.0
long_description = file:long_description.rst
long_description_content_type = text/x-rst; charset=UTF-8
project_urls =
Documentation=https://fmriprep.readthedocs.io/
Paper=https://doi.org/10.1038/s41592-018-0235-4
Docker Images=https://hub.docker.com/r/nipreps/fmriprep/tags/
NiPreps=https://www.nipreps.org/
url = https://github.com/nipreps/fmriprep
[options]
python_requires = >=3.7
install_requires =
nibabel >= 3.0
nipype ~= 1.8.1
nitransforms ~= 21.0.0
niworkflows @ git+https://github.com/nipreps/niworkflows.git@master
numpy
pandas
psutil >= 5.4
pybids >= 0.12.1
requests
smriprep ~= 0.8.0
tedana ~= 0.0.9
templateflow >= 0.6
toml
test_requires =
coverage
codecov
pytest
packages = find:
[options.exclude_package_data]
* = tests
[options.extras_require]
datalad = datalad
doc =
packaging
pydot >= 1.2.3
pydotplus
sphinx >= 1.8
sphinx-argparse
sphinx_rtd_theme
sphinxcontrib-napoleon
docs =
%(doc)s
duecredit = duecredit
resmon =
sentry = sentry-sdk ~= 1.3.0
tests =
coverage
codecov
pytest
pytest-cov
pytest-env
maint =
fuzzywuzzy
python-Levenshtein
all =
%(datalad)s
%(doc)s
%(duecredit)s
%(maint)s
%(sentry)s
%(tests)s
[options.package_data]
petprep =
data/*.json
data/*.nii.gz
data/*.mat
data/NOTICE
data/boilerplate.bib
data/itkIdentityTransform.txt
data/flirtsch/bbr.sch
data/reports-spec.yml
data/tests/config.toml
data/tests/ds000005/*
data/tests/ds000005/sub-01/anat/*
data/tests/ds000005/sub-01/func/*
VERSION
[options.entry_points]
console_scripts =
petprep=petprep.cli.run:main
[versioneer]
VCS = git
style = pep440
versionfile_source = petprep/_version.py
versionfile_build = petprep/_version.py
tag_prefix =
parentdir_prefix =
[flake8]
max-line-length = 99
doctests = False
exclude=*build/
ignore =
W503
per-file-ignores =
**/__init__.py : F401
docs/conf.py : E265
[tool:pytest]
norecursedirs = .git
addopts = -svx --doctest-modules
doctest_optionflags = ALLOW_UNICODE NORMALIZE_WHITESPACE ELLIPSIS
env =
PYTHONHASHSEED=0
filterwarnings =
ignore::DeprecationWarning
junit_family=xunit2