%global _empty_manifest_terminate_build 0 Name: python-matminer Version: 0.8.0 Release: 1 Summary: matminer is a library that contains tools for data mining in Materials Science License: modified BSD URL: https://github.com/hackingmaterials/matminer Source0: https://mirrors.nju.edu.cn/pypi/web/packages/16/c0/3cc16d6eb828c8f3f95255c194bef48260a2627a7e63f4c665a9be4f6af9/matminer-0.8.0.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-requests Requires: python3-pandas Requires: python3-tqdm Requires: python3-pymongo Requires: python3-future Requires: python3-scikit-learn Requires: python3-sympy Requires: python3-monty Requires: python3-pymatgen Requires: python3-aflow Requires: python3-citrination-client Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-coverage Requires: python3-coveralls Requires: python3-flake8 Requires: python3-black Requires: python3-pylint Requires: python3-sphinx Requires: python3-dscribe Requires: python3-mdf-forge Requires: python3-ujson Requires: python3-jmespath Requires: python3-httplib2 Requires: python3-ase Requires: python3-jsonschema %description # matminer matminer is a library for performing data mining in the field of materials science. - **[Website (including documentation)](https://hackingmaterials.github.io/matminer/)** - **[Examples Repository](https://github.com/hackingmaterials/matminer_examples)** - **[Help/Support Forum](https://matsci.org/c/matminer/16)** - **[Source Repository](https://github.com/hackingmaterials/matminer)** matminer supports Python 3.8+. #### Related packages: - If you like matminer, you might also try [automatminer](https://github.com/hackingmaterials/automatminer). - If you are interested in furthering development of datasets in matminer, you may be interested in [matbench](https://github.com/hackingmaterials/matbench). - If you are looking for figrecipes, it is now in its [own repo](https://github.com/hackingmaterials/figrecipes). #### Citation If you find matminer useful, please encourage its development by citing the following paper in your research: ``` Ward, L., Dunn, A., Faghaninia, A., Zimmermann, N. E. R., Bajaj, S., Wang, Q., Montoya, J. H., Chen, J., Bystrom, K., Dylla, M., Chard, K., Asta, M., Persson, K., Snyder, G. J., Foster, I., Jain, A., Matminer: An open source toolkit for materials data mining. Comput. Mater. Sci. 152, 60-69 (2018). ``` Matminer helps users apply methods and data sets developed by the community. Please also cite the original sources, as this will add clarity to your article and credit the original authors: - If you use one or more **datasets** accessed through matminer, check the dataset metadata info for relevant citations on the original datasets. - If you use one or more **data retrieval methods**, check ``citations()`` method of the data retrieval class. This method will provide a list of BibTeX-formatted citations for that featurizer, making it easy to keep track of and cite the original publications. - If you use one or more **featurizers**, please take advantage of the ```citations()``` function present for every featurizer in matminer. %package -n python3-matminer Summary: matminer is a library that contains tools for data mining in Materials Science Provides: python-matminer BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-matminer # matminer matminer is a library for performing data mining in the field of materials science. - **[Website (including documentation)](https://hackingmaterials.github.io/matminer/)** - **[Examples Repository](https://github.com/hackingmaterials/matminer_examples)** - **[Help/Support Forum](https://matsci.org/c/matminer/16)** - **[Source Repository](https://github.com/hackingmaterials/matminer)** matminer supports Python 3.8+. #### Related packages: - If you like matminer, you might also try [automatminer](https://github.com/hackingmaterials/automatminer). - If you are interested in furthering development of datasets in matminer, you may be interested in [matbench](https://github.com/hackingmaterials/matbench). - If you are looking for figrecipes, it is now in its [own repo](https://github.com/hackingmaterials/figrecipes). #### Citation If you find matminer useful, please encourage its development by citing the following paper in your research: ``` Ward, L., Dunn, A., Faghaninia, A., Zimmermann, N. E. R., Bajaj, S., Wang, Q., Montoya, J. H., Chen, J., Bystrom, K., Dylla, M., Chard, K., Asta, M., Persson, K., Snyder, G. J., Foster, I., Jain, A., Matminer: An open source toolkit for materials data mining. Comput. Mater. Sci. 152, 60-69 (2018). ``` Matminer helps users apply methods and data sets developed by the community. Please also cite the original sources, as this will add clarity to your article and credit the original authors: - If you use one or more **datasets** accessed through matminer, check the dataset metadata info for relevant citations on the original datasets. - If you use one or more **data retrieval methods**, check ``citations()`` method of the data retrieval class. This method will provide a list of BibTeX-formatted citations for that featurizer, making it easy to keep track of and cite the original publications. - If you use one or more **featurizers**, please take advantage of the ```citations()``` function present for every featurizer in matminer. %package help Summary: Development documents and examples for matminer Provides: python3-matminer-doc %description help # matminer matminer is a library for performing data mining in the field of materials science. - **[Website (including documentation)](https://hackingmaterials.github.io/matminer/)** - **[Examples Repository](https://github.com/hackingmaterials/matminer_examples)** - **[Help/Support Forum](https://matsci.org/c/matminer/16)** - **[Source Repository](https://github.com/hackingmaterials/matminer)** matminer supports Python 3.8+. #### Related packages: - If you like matminer, you might also try [automatminer](https://github.com/hackingmaterials/automatminer). - If you are interested in furthering development of datasets in matminer, you may be interested in [matbench](https://github.com/hackingmaterials/matbench). - If you are looking for figrecipes, it is now in its [own repo](https://github.com/hackingmaterials/figrecipes). #### Citation If you find matminer useful, please encourage its development by citing the following paper in your research: ``` Ward, L., Dunn, A., Faghaninia, A., Zimmermann, N. E. R., Bajaj, S., Wang, Q., Montoya, J. H., Chen, J., Bystrom, K., Dylla, M., Chard, K., Asta, M., Persson, K., Snyder, G. J., Foster, I., Jain, A., Matminer: An open source toolkit for materials data mining. Comput. Mater. Sci. 152, 60-69 (2018). ``` Matminer helps users apply methods and data sets developed by the community. Please also cite the original sources, as this will add clarity to your article and credit the original authors: - If you use one or more **datasets** accessed through matminer, check the dataset metadata info for relevant citations on the original datasets. - If you use one or more **data retrieval methods**, check ``citations()`` method of the data retrieval class. This method will provide a list of BibTeX-formatted citations for that featurizer, making it easy to keep track of and cite the original publications. - If you use one or more **featurizers**, please take advantage of the ```citations()``` function present for every featurizer in matminer. %prep %autosetup -n matminer-0.8.0 %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-matminer -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.8.0-1 - Package Spec generated