%global _empty_manifest_terminate_build 0
Name: python-duecredit
Version: 0.9.2
Release: 1
Summary: Publications (and donations) tracer
License: 2-clause BSD License
URL: https://github.com/duecredit/duecredit
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/30/bf/bb32fd00bf5759960c87b79537fb08002f3070a900d3afd00617c427fb75/duecredit-0.9.2.tar.gz
BuildArch: noarch
Requires: python3-requests
Requires: python3-citeproc-py
Requires: python3-six
Requires: python3-importlib-metadata
Requires: python3-pytest
Requires: python3-vcrpy
Requires: python3-contextlib2
%description
[1] Van Der Walt, S., Colbert, S.C. & Varoquaux, G., 2011. The NumPy array: a structure for efficient numerical computation. Computing in Science & Engineering, 13(2), pp.22–30.
[2] Jones, E. et al., 2001. SciPy: Open source scientific tools for Python.
[3] Sibson, R., 1973. SLINK: an optimally efficient algorithm for the single-link cluster method. The Computer Journal, 16(1), pp.30–34.
Incremental runs of various software would keep enriching that file.
Then you can use `duecredit summary` command to show that information
again (stored in `.duecredit.p` file) or export it as a BibTeX file
ready for reuse, e.g.:
$> duecredit summary --format=bibtex
@article{van2011numpy,
title={The NumPy array: a structure for efficient numerical computation},
author={Van Der Walt, Stefan and Colbert, S Chris and Varoquaux, Gael},
journal={Computing in Science \& Engineering},
volume={13},
number={2},
pages={22--30},
year={2011},
publisher={AIP Publishing}
}
@Misc{JOP+01,
author = {Eric Jones and Travis Oliphant and Pearu Peterson and others},
title = {{SciPy}: Open source scientific tools for {Python}},
year = {2001--},
url = "http://www.scipy.org/",
note = {[Online; accessed 2015-07-13]}
}
@article{sibson1973slink,
title={SLINK: an optimally efficient algorithm for the single-link cluster method},
author={Sibson, Robin},
journal={The Computer Journal},
volume={16},
number={1},
pages={30--34},
year={1973},
publisher={Br Computer Soc}
}
and if by default only references for "implementation" are listed, we
can enable listing of references for other tags as well (e.g. "edu"
depicting instructional materials -- textbooks etc. on the topic):
$> DUECREDIT_REPORT_TAGS=* duecredit summary
DueCredit Report:
- Scientific tools library / numpy (v 1.10.4) [1]
- Scientific tools library / scipy (v 0.14) [2]
- Hierarchical clustering / scipy.cluster.hierarchy (v 0.14) [3, 4, 5, 6, 7, 8, 9]
- Single linkage hierarchical clustering / scipy.cluster.hierarchy:linkage (v 0.14) [10, 11]
2 packages cited
1 module cited
1 function cited
%package -n python3-duecredit
Summary: Publications (and donations) tracer
Provides: python-duecredit
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-duecredit
[1] Van Der Walt, S., Colbert, S.C. & Varoquaux, G., 2011. The NumPy array: a structure for efficient numerical computation. Computing in Science & Engineering, 13(2), pp.22–30.
[2] Jones, E. et al., 2001. SciPy: Open source scientific tools for Python.
[3] Sibson, R., 1973. SLINK: an optimally efficient algorithm for the single-link cluster method. The Computer Journal, 16(1), pp.30–34.
Incremental runs of various software would keep enriching that file.
Then you can use `duecredit summary` command to show that information
again (stored in `.duecredit.p` file) or export it as a BibTeX file
ready for reuse, e.g.:
$> duecredit summary --format=bibtex
@article{van2011numpy,
title={The NumPy array: a structure for efficient numerical computation},
author={Van Der Walt, Stefan and Colbert, S Chris and Varoquaux, Gael},
journal={Computing in Science \& Engineering},
volume={13},
number={2},
pages={22--30},
year={2011},
publisher={AIP Publishing}
}
@Misc{JOP+01,
author = {Eric Jones and Travis Oliphant and Pearu Peterson and others},
title = {{SciPy}: Open source scientific tools for {Python}},
year = {2001--},
url = "http://www.scipy.org/",
note = {[Online; accessed 2015-07-13]}
}
@article{sibson1973slink,
title={SLINK: an optimally efficient algorithm for the single-link cluster method},
author={Sibson, Robin},
journal={The Computer Journal},
volume={16},
number={1},
pages={30--34},
year={1973},
publisher={Br Computer Soc}
}
and if by default only references for "implementation" are listed, we
can enable listing of references for other tags as well (e.g. "edu"
depicting instructional materials -- textbooks etc. on the topic):
$> DUECREDIT_REPORT_TAGS=* duecredit summary
DueCredit Report:
- Scientific tools library / numpy (v 1.10.4) [1]
- Scientific tools library / scipy (v 0.14) [2]
- Hierarchical clustering / scipy.cluster.hierarchy (v 0.14) [3, 4, 5, 6, 7, 8, 9]
- Single linkage hierarchical clustering / scipy.cluster.hierarchy:linkage (v 0.14) [10, 11]
2 packages cited
1 module cited
1 function cited
%package help
Summary: Development documents and examples for duecredit
Provides: python3-duecredit-doc
%description help
[1] Van Der Walt, S., Colbert, S.C. & Varoquaux, G., 2011. The NumPy array: a structure for efficient numerical computation. Computing in Science & Engineering, 13(2), pp.22–30.
[2] Jones, E. et al., 2001. SciPy: Open source scientific tools for Python.
[3] Sibson, R., 1973. SLINK: an optimally efficient algorithm for the single-link cluster method. The Computer Journal, 16(1), pp.30–34.
Incremental runs of various software would keep enriching that file.
Then you can use `duecredit summary` command to show that information
again (stored in `.duecredit.p` file) or export it as a BibTeX file
ready for reuse, e.g.:
$> duecredit summary --format=bibtex
@article{van2011numpy,
title={The NumPy array: a structure for efficient numerical computation},
author={Van Der Walt, Stefan and Colbert, S Chris and Varoquaux, Gael},
journal={Computing in Science \& Engineering},
volume={13},
number={2},
pages={22--30},
year={2011},
publisher={AIP Publishing}
}
@Misc{JOP+01,
author = {Eric Jones and Travis Oliphant and Pearu Peterson and others},
title = {{SciPy}: Open source scientific tools for {Python}},
year = {2001--},
url = "http://www.scipy.org/",
note = {[Online; accessed 2015-07-13]}
}
@article{sibson1973slink,
title={SLINK: an optimally efficient algorithm for the single-link cluster method},
author={Sibson, Robin},
journal={The Computer Journal},
volume={16},
number={1},
pages={30--34},
year={1973},
publisher={Br Computer Soc}
}
and if by default only references for "implementation" are listed, we
can enable listing of references for other tags as well (e.g. "edu"
depicting instructional materials -- textbooks etc. on the topic):
$> DUECREDIT_REPORT_TAGS=* duecredit summary
DueCredit Report:
- Scientific tools library / numpy (v 1.10.4) [1]
- Scientific tools library / scipy (v 0.14) [2]
- Hierarchical clustering / scipy.cluster.hierarchy (v 0.14) [3, 4, 5, 6, 7, 8, 9]
- Single linkage hierarchical clustering / scipy.cluster.hierarchy:linkage (v 0.14) [10, 11]
2 packages cited
1 module cited
1 function cited
%prep
%autosetup -n duecredit-0.9.2
%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-duecredit -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 07 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.2-1
- Package Spec generated