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
|
%global _empty_manifest_terminate_build 0
Name: python-qsiprep
Version: 0.18.0
Release: 1
Summary: qsiprep builds workflows for preprocessing and reconstructing q-space images
License: 3-clause BSD
URL: https://github.com/pennbbl/qsiprep
Source0: https://mirrors.aliyun.com/pypi/web/packages/57/b0/f2a6bc6cf74fb2ad0052add094a9b85d9070ebe629e216c1f07d48a276b1/qsiprep-0.18.0.tar.gz
BuildArch: noarch
%description
qsiprep borrows heavily from FMRIPREP to build workflows for preprocessing q-space images
such as Diffusion Spectrum Images (DSI), multi-shell HARDI and compressed sensing DSI (CS-DSI).
It utilizes Dipy and ANTs to implement a novel high-b-value head motion correction approach
using q-space methods such as 3dSHORE to iteratively generate head motion target images for each
gradient direction and strength.
Since qsiprep uses the FMRIPREP workflow-building strategy, it can also generate methods
boilerplate and quality-check figures.
Users can also reconstruct orientation distribution functions (ODFs), fiber orientation
distributions (FODs) and perform tractography, estimate anisotropy scalars and connectivity
estimation using a combination of Dipy, MRTrix and DSI Studio using a JSON-based pipeline
specification.
[Documentation `qsiprep.org <https://qsiprep.readthedocs.io>`_]
%package -n python3-qsiprep
Summary: qsiprep builds workflows for preprocessing and reconstructing q-space images
Provides: python-qsiprep
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-qsiprep
qsiprep borrows heavily from FMRIPREP to build workflows for preprocessing q-space images
such as Diffusion Spectrum Images (DSI), multi-shell HARDI and compressed sensing DSI (CS-DSI).
It utilizes Dipy and ANTs to implement a novel high-b-value head motion correction approach
using q-space methods such as 3dSHORE to iteratively generate head motion target images for each
gradient direction and strength.
Since qsiprep uses the FMRIPREP workflow-building strategy, it can also generate methods
boilerplate and quality-check figures.
Users can also reconstruct orientation distribution functions (ODFs), fiber orientation
distributions (FODs) and perform tractography, estimate anisotropy scalars and connectivity
estimation using a combination of Dipy, MRTrix and DSI Studio using a JSON-based pipeline
specification.
[Documentation `qsiprep.org <https://qsiprep.readthedocs.io>`_]
%package help
Summary: Development documents and examples for qsiprep
Provides: python3-qsiprep-doc
%description help
qsiprep borrows heavily from FMRIPREP to build workflows for preprocessing q-space images
such as Diffusion Spectrum Images (DSI), multi-shell HARDI and compressed sensing DSI (CS-DSI).
It utilizes Dipy and ANTs to implement a novel high-b-value head motion correction approach
using q-space methods such as 3dSHORE to iteratively generate head motion target images for each
gradient direction and strength.
Since qsiprep uses the FMRIPREP workflow-building strategy, it can also generate methods
boilerplate and quality-check figures.
Users can also reconstruct orientation distribution functions (ODFs), fiber orientation
distributions (FODs) and perform tractography, estimate anisotropy scalars and connectivity
estimation using a combination of Dipy, MRTrix and DSI Studio using a JSON-based pipeline
specification.
[Documentation `qsiprep.org <https://qsiprep.readthedocs.io>`_]
%prep
%autosetup -n qsiprep-0.18.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-qsiprep -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.18.0-1
- Package Spec generated
|
