%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 - 0.9.2-1 - Package Spec generated