%global _empty_manifest_terminate_build 0 Name: python-jupyter-jsmol Version: 2022.1.0 Release: 1 Summary: JSmol viewer widget for Jupyter License: MIT URL: https://github.com/fekad/jupyter-jsmol Source0: https://mirrors.nju.edu.cn/pypi/web/packages/96/68/5abc7b170bfdd30514ae21c20e27924058fce1245cb720a258410854a91a/jupyter_jsmol-2022.1.0.tar.gz BuildArch: noarch Requires: python3-ipywidgets Requires: python3-ase Requires: python3-pymatgen Requires: python3-pytest Requires: python3-pytest-cov %description # jupyter-jsmol [![Documetation](https://github.com/fekad/jupyter-jsmol/workflows/Documetation/badge.svg?branch=master)](https://fekad.github.io/jupyter-jsmol/) [![Python package](https://github.com/fekad/jupyter-jsmol/workflows/Python%20package/badge.svg?branch=master)](https://github.com/fekad/jupyter-jsmol/actions) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fekad/jupyter-jsmol/master?filepath=examples) This is JSmol viewer widget which can be used in Jupyter Notebooks and JupyterLab ## Installation You can install using `pip`: ```bash pip install jupyter_jsmol ``` Or if you use jupyterlab: ```bash pip install jupyter_jsmol jupyter labextension install @jupyter-widgets/jupyterlab-manager ``` If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension: ```bash jupyter nbextension enable --py [--sys-prefix|--user|--system] jupyter_jsmol ``` ## Development Installation Create a dev environment: ```bash conda create -n jupyter-jsmol-dev -c conda-forge python pip nodejs yarn jupyter jupyterlab ipywidgets jupyter-packaging==0.7.9 ase pymatgen conda activate jupyter-jsmol-dev ``` Install the python. This will also build the TS package. ```bash # First install the python package. This will also build the JS packages. pip install -e ".[test, examples]" # Run the python tests. This should not give you a few successful example tests py.test ``` When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command: ``` cd js jupyter labextension develop --overwrite . yarn run build ``` For classic notebook, you can run: ``` jupyter nbextension install --sys-prefix --symlink --overwrite --py jupyter_jsmol jupyter nbextension enable --sys-prefix --py jupyter_jsmol ``` Note that the `--symlink` flag doesn't work on Windows, so you will here have to run the `install` command every time that you rebuild your extension. For certain installations you might also need another flag instead of `--sys-prefix`, but we won't cover the meaning of those flags here. ### How to see your changes #### JavaScript: If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget. ```bash # Watch the source directory in one terminal, automatically rebuilding when needed yarn run watch # Run JupyterLab in another terminal jupyter lab ``` After a change wait for the build to finish and then refresh your browser and the changes should take effect. #### Python: If you make a change to the python code then you will need to restart the notebook kernel to have it take effect. %package -n python3-jupyter-jsmol Summary: JSmol viewer widget for Jupyter Provides: python-jupyter-jsmol BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-jupyter-jsmol # jupyter-jsmol [![Documetation](https://github.com/fekad/jupyter-jsmol/workflows/Documetation/badge.svg?branch=master)](https://fekad.github.io/jupyter-jsmol/) [![Python package](https://github.com/fekad/jupyter-jsmol/workflows/Python%20package/badge.svg?branch=master)](https://github.com/fekad/jupyter-jsmol/actions) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fekad/jupyter-jsmol/master?filepath=examples) This is JSmol viewer widget which can be used in Jupyter Notebooks and JupyterLab ## Installation You can install using `pip`: ```bash pip install jupyter_jsmol ``` Or if you use jupyterlab: ```bash pip install jupyter_jsmol jupyter labextension install @jupyter-widgets/jupyterlab-manager ``` If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension: ```bash jupyter nbextension enable --py [--sys-prefix|--user|--system] jupyter_jsmol ``` ## Development Installation Create a dev environment: ```bash conda create -n jupyter-jsmol-dev -c conda-forge python pip nodejs yarn jupyter jupyterlab ipywidgets jupyter-packaging==0.7.9 ase pymatgen conda activate jupyter-jsmol-dev ``` Install the python. This will also build the TS package. ```bash # First install the python package. This will also build the JS packages. pip install -e ".[test, examples]" # Run the python tests. This should not give you a few successful example tests py.test ``` When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command: ``` cd js jupyter labextension develop --overwrite . yarn run build ``` For classic notebook, you can run: ``` jupyter nbextension install --sys-prefix --symlink --overwrite --py jupyter_jsmol jupyter nbextension enable --sys-prefix --py jupyter_jsmol ``` Note that the `--symlink` flag doesn't work on Windows, so you will here have to run the `install` command every time that you rebuild your extension. For certain installations you might also need another flag instead of `--sys-prefix`, but we won't cover the meaning of those flags here. ### How to see your changes #### JavaScript: If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget. ```bash # Watch the source directory in one terminal, automatically rebuilding when needed yarn run watch # Run JupyterLab in another terminal jupyter lab ``` After a change wait for the build to finish and then refresh your browser and the changes should take effect. #### Python: If you make a change to the python code then you will need to restart the notebook kernel to have it take effect. %package help Summary: Development documents and examples for jupyter-jsmol Provides: python3-jupyter-jsmol-doc %description help # jupyter-jsmol [![Documetation](https://github.com/fekad/jupyter-jsmol/workflows/Documetation/badge.svg?branch=master)](https://fekad.github.io/jupyter-jsmol/) [![Python package](https://github.com/fekad/jupyter-jsmol/workflows/Python%20package/badge.svg?branch=master)](https://github.com/fekad/jupyter-jsmol/actions) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fekad/jupyter-jsmol/master?filepath=examples) This is JSmol viewer widget which can be used in Jupyter Notebooks and JupyterLab ## Installation You can install using `pip`: ```bash pip install jupyter_jsmol ``` Or if you use jupyterlab: ```bash pip install jupyter_jsmol jupyter labextension install @jupyter-widgets/jupyterlab-manager ``` If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension: ```bash jupyter nbextension enable --py [--sys-prefix|--user|--system] jupyter_jsmol ``` ## Development Installation Create a dev environment: ```bash conda create -n jupyter-jsmol-dev -c conda-forge python pip nodejs yarn jupyter jupyterlab ipywidgets jupyter-packaging==0.7.9 ase pymatgen conda activate jupyter-jsmol-dev ``` Install the python. This will also build the TS package. ```bash # First install the python package. This will also build the JS packages. pip install -e ".[test, examples]" # Run the python tests. This should not give you a few successful example tests py.test ``` When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command: ``` cd js jupyter labextension develop --overwrite . yarn run build ``` For classic notebook, you can run: ``` jupyter nbextension install --sys-prefix --symlink --overwrite --py jupyter_jsmol jupyter nbextension enable --sys-prefix --py jupyter_jsmol ``` Note that the `--symlink` flag doesn't work on Windows, so you will here have to run the `install` command every time that you rebuild your extension. For certain installations you might also need another flag instead of `--sys-prefix`, but we won't cover the meaning of those flags here. ### How to see your changes #### JavaScript: If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the widget. ```bash # Watch the source directory in one terminal, automatically rebuilding when needed yarn run watch # Run JupyterLab in another terminal jupyter lab ``` After a change wait for the build to finish and then refresh your browser and the changes should take effect. #### Python: If you make a change to the python code then you will need to restart the notebook kernel to have it take effect. %prep %autosetup -n jupyter-jsmol-2022.1.0 %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-jupyter-jsmol -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 2022.1.0-1 - Package Spec generated