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-rw-r--r--python-antspymm.spec51
1 files changed, 42 insertions, 9 deletions
diff --git a/python-antspymm.spec b/python-antspymm.spec
index 10cf13d..a133741 100644
--- a/python-antspymm.spec
+++ b/python-antspymm.spec
@@ -1,11 +1,11 @@
%global _empty_manifest_terminate_build 0
Name: python-antspymm
-Version: 0.9.7
+Version: 0.9.9
Release: 1
Summary: multi-channel/time-series medical image processing with antspyx
License: Apache 2.0
URL: https://github.com/stnava/ANTsPyMM
-Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d9/11/551ee0bc564ba2ed0ffd8499e58173c77e5d6657f57466252fc211c8e1db/antspymm-0.9.7.tar.gz
+Source0: https://mirrors.aliyun.com/pypi/web/packages/26/75/85afa25a586deb13c15fc7938147c641bddb0f83f8776b5a601107a4965b/antspymm-0.9.9.tar.gz
BuildArch: noarch
Requires: python3-h5py
@@ -92,6 +92,17 @@ will all modalities will take around 2 hours on an average laptop.
documentation of functions [here](http://htmlpreview.github.io/?https://github.com/stnava/ANTsPyMM/blob/main/docs/antspymm/mm.html).
+
+achieved through four steps (recommended approach):
+
+1. organize data in NRG format
+
+2. perform blind QC
+
+3. compute outlierness per modality and select optimally matched modalities ( steps 3.1 and 3.2 )
+
+4. run the main antspymm function
+
# first time setup
```python
@@ -424,6 +435,17 @@ will all modalities will take around 2 hours on an average laptop.
documentation of functions [here](http://htmlpreview.github.io/?https://github.com/stnava/ANTsPyMM/blob/main/docs/antspymm/mm.html).
+
+achieved through four steps (recommended approach):
+
+1. organize data in NRG format
+
+2. perform blind QC
+
+3. compute outlierness per modality and select optimally matched modalities ( steps 3.1 and 3.2 )
+
+4. run the main antspymm function
+
# first time setup
```python
@@ -753,6 +775,17 @@ will all modalities will take around 2 hours on an average laptop.
documentation of functions [here](http://htmlpreview.github.io/?https://github.com/stnava/ANTsPyMM/blob/main/docs/antspymm/mm.html).
+
+achieved through four steps (recommended approach):
+
+1. organize data in NRG format
+
+2. perform blind QC
+
+3. compute outlierness per modality and select optimally matched modalities ( steps 3.1 and 3.2 )
+
+4. run the main antspymm function
+
# first time setup
```python
@@ -1008,7 +1041,7 @@ python3 -m twine upload -u username -p password dist/*
%prep
-%autosetup -n antspymm-0.9.7
+%autosetup -n antspymm-0.9.9
%build
%py3_build
@@ -1022,20 +1055,20 @@ 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
+ 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
+ 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
+ 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
+ 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
+ find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
@@ -1048,5 +1081,5 @@ mv %{buildroot}/doclist.lst .
%{_docdir}/*
%changelog
-* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.7-1
+* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.9-1
- Package Spec generated