diff options
Diffstat (limited to 'python-swan-accel.spec')
| -rw-r--r-- | python-swan-accel.spec | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/python-swan-accel.spec b/python-swan-accel.spec new file mode 100644 index 0000000..9f4aa5d --- /dev/null +++ b/python-swan-accel.spec @@ -0,0 +1,124 @@ +%global _empty_manifest_terminate_build 0 +Name: python-SWaN-accel +Version: 1.18 +Release: 1 +Summary: A pacakge to classify sleep-wear, wake-wear, and non-wear in accelerometer dataset. +License: MIT License +URL: https://bitbucket.org/mhealthresearchgroup/packageswanfortime.git +Source0: https://mirrors.aliyun.com/pypi/web/packages/41/30/3ad99aee8cc05f9499bb2565d04dbdca154b2dd9076f54117c5a4df7f344/SWaN_accel-1.18.tar.gz +BuildArch: noarch + +Requires: python3-scikit-learn + +%description +# SWaN_accel package
+
+This is an algorithm to distinguish between sleep-wear, wake-wear, and non-wear in accelerometer dataset.
+
+To install the package, use the following pip command:
+### pip install swan_accel
+
+To import the two relevant methods from the package, type:
+### from SWaN_accel import swan_first_pass, swan_second_pass
+
+To run swan first pass algorithm:
+### swan_first_pass.main(df=dataframe object, file_path=path for output file,sampling_rate=sampling rate of data)
+
+To run swan second pass algorithm
+### swan_second_pass.main(day_folder=path of the date folder, debug="No")
+
+
+ + +%package -n python3-SWaN-accel +Summary: A pacakge to classify sleep-wear, wake-wear, and non-wear in accelerometer dataset. +Provides: python-SWaN-accel +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-SWaN-accel +# SWaN_accel package
+
+This is an algorithm to distinguish between sleep-wear, wake-wear, and non-wear in accelerometer dataset.
+
+To install the package, use the following pip command:
+### pip install swan_accel
+
+To import the two relevant methods from the package, type:
+### from SWaN_accel import swan_first_pass, swan_second_pass
+
+To run swan first pass algorithm:
+### swan_first_pass.main(df=dataframe object, file_path=path for output file,sampling_rate=sampling rate of data)
+
+To run swan second pass algorithm
+### swan_second_pass.main(day_folder=path of the date folder, debug="No")
+
+
+ + +%package help +Summary: Development documents and examples for SWaN-accel +Provides: python3-SWaN-accel-doc +%description help +# SWaN_accel package
+
+This is an algorithm to distinguish between sleep-wear, wake-wear, and non-wear in accelerometer dataset.
+
+To install the package, use the following pip command:
+### pip install swan_accel
+
+To import the two relevant methods from the package, type:
+### from SWaN_accel import swan_first_pass, swan_second_pass
+
+To run swan first pass algorithm:
+### swan_first_pass.main(df=dataframe object, file_path=path for output file,sampling_rate=sampling rate of data)
+
+To run swan second pass algorithm
+### swan_second_pass.main(day_folder=path of the date folder, debug="No")
+
+
+ + +%prep +%autosetup -n SWaN_accel-1.18 + +%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-SWaN-accel -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.18-1 +- Package Spec generated |