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@@ -0,0 +1 @@ +/jupyter_bokeh-3.0.7.tar.gz diff --git a/python-jupyter-bokeh.spec b/python-jupyter-bokeh.spec new file mode 100644 index 0000000..6a08b9d --- /dev/null +++ b/python-jupyter-bokeh.spec @@ -0,0 +1,378 @@ +%global _empty_manifest_terminate_build 0 +Name: python-jupyter-bokeh +Version: 3.0.7 +Release: 1 +Summary: A Jupyter extension for rendering Bokeh content. +License: BSD-3-Clause +URL: https://github.com/bokeh/jupyter_bokeh +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d8/bc/78cb5a91f5d88668cea999aa2d794f67930ca15f921e5c4adc59e90910c7/jupyter_bokeh-3.0.7.tar.gz +BuildArch: noarch + + +%description +# jupyter_bokeh + + + +A Jupyter extension for rendering [Bokeh](https://bokeh.org) content within Jupyter. See also the separate [ipywidgets_bokeh](https://github.com/bokeh/ipywidgets_bokeh) library for support for using Jupyter widgets/ipywidgets objects within Bokeh applications. + + +## Install + +For versions 3.0 and newer of JupyterLab, you have the option to install +jupyter_bokeh with either ``pip`` or ``conda``: + +```bash +pip install jupyter_bokeh +``` + +or + +```bash +conda install -c conda-forge jupyter_bokeh +``` + +For versions of Jupyter Lab older than 3.0, you must install the labextension +separately: + +```bash +conda install -c conda-forge jupyter_bokeh +jupyter labextension install @jupyter-widgets/jupyterlab-manager +jupyter labextension install @bokeh/jupyter_bokeh +``` + +To install a specific version: + +```bash +jupyter labextension install @bokeh/jupyter_bokeh@x.y.x +``` + +## Compatibility + +The core [Bokeh](https://github.com/bokeh/bokeh) library is generally version independent of +[JupyterLab](https://github.com/jupyterlab/jupyterlab) and this ``jupyter_bokeh`` extension +for versions of ``bokeh>=2.0.0``. + +Our goal is that ``jupyter_bokeh`` minor releases (using the [SemVer](https://semver.org/) pattern) are +made to follow JupyterLab minor release bumps, while micro releases are for new ``jupyter_bokeh`` features +or bug fix releases. We've been previously inconsistent with having the extension release minor version bumps +track that of JupyterLab, so users seeking to find extension releases that are compatible with their JupyterLab +installation may refer to the below table. + +###### Compatible JupyterLab and `jupyter_bokeh` versions + +| JupyterLab | `jupyter_bokeh` | +| ------------- | ---------------- | +| 0.34.x | 0.6.2 | +| 0.35.x | 0.6.3 | +| 1.0.x | 1.0.0 | +| 2.0.x | 2.0.0 | +| 3.0.x | 3.0.0 | + +## Contributing + +### Development install + +Note: You will need NodeJS to build the extension package. + +The `jlpm` command is JupyterLab's pinned version of +[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use +`yarn` or `npm` in lieu of `jlpm` below. + +```bash +# Clone the repo to your local environment +# Change directory to the jupyter_bokeh directory +# Install package in development mode +pip install -e . +# Link your development version of the extension with JupyterLab +jupyter labextension develop . --overwrite +# Rebuild extension Typescript source after making changes +jlpm run build +``` + +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 extension. + +```bash +# Watch the source directory in one terminal, automatically rebuilding when needed +jlpm run watch +# Run JupyterLab in another terminal +jupyter lab +``` + +With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt). + +By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command: + +```bash +jupyter lab build --minimize=False +``` + +### Uninstall + +```bash +pip uninstall jupyter_bokeh +``` + + +%package -n python3-jupyter-bokeh +Summary: A Jupyter extension for rendering Bokeh content. +Provides: python-jupyter-bokeh +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-jupyter-bokeh +# jupyter_bokeh + + + +A Jupyter extension for rendering [Bokeh](https://bokeh.org) content within Jupyter. See also the separate [ipywidgets_bokeh](https://github.com/bokeh/ipywidgets_bokeh) library for support for using Jupyter widgets/ipywidgets objects within Bokeh applications. + + +## Install + +For versions 3.0 and newer of JupyterLab, you have the option to install +jupyter_bokeh with either ``pip`` or ``conda``: + +```bash +pip install jupyter_bokeh +``` + +or + +```bash +conda install -c conda-forge jupyter_bokeh +``` + +For versions of Jupyter Lab older than 3.0, you must install the labextension +separately: + +```bash +conda install -c conda-forge jupyter_bokeh +jupyter labextension install @jupyter-widgets/jupyterlab-manager +jupyter labextension install @bokeh/jupyter_bokeh +``` + +To install a specific version: + +```bash +jupyter labextension install @bokeh/jupyter_bokeh@x.y.x +``` + +## Compatibility + +The core [Bokeh](https://github.com/bokeh/bokeh) library is generally version independent of +[JupyterLab](https://github.com/jupyterlab/jupyterlab) and this ``jupyter_bokeh`` extension +for versions of ``bokeh>=2.0.0``. + +Our goal is that ``jupyter_bokeh`` minor releases (using the [SemVer](https://semver.org/) pattern) are +made to follow JupyterLab minor release bumps, while micro releases are for new ``jupyter_bokeh`` features +or bug fix releases. We've been previously inconsistent with having the extension release minor version bumps +track that of JupyterLab, so users seeking to find extension releases that are compatible with their JupyterLab +installation may refer to the below table. + +###### Compatible JupyterLab and `jupyter_bokeh` versions + +| JupyterLab | `jupyter_bokeh` | +| ------------- | ---------------- | +| 0.34.x | 0.6.2 | +| 0.35.x | 0.6.3 | +| 1.0.x | 1.0.0 | +| 2.0.x | 2.0.0 | +| 3.0.x | 3.0.0 | + +## Contributing + +### Development install + +Note: You will need NodeJS to build the extension package. + +The `jlpm` command is JupyterLab's pinned version of +[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use +`yarn` or `npm` in lieu of `jlpm` below. + +```bash +# Clone the repo to your local environment +# Change directory to the jupyter_bokeh directory +# Install package in development mode +pip install -e . +# Link your development version of the extension with JupyterLab +jupyter labextension develop . --overwrite +# Rebuild extension Typescript source after making changes +jlpm run build +``` + +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 extension. + +```bash +# Watch the source directory in one terminal, automatically rebuilding when needed +jlpm run watch +# Run JupyterLab in another terminal +jupyter lab +``` + +With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt). + +By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command: + +```bash +jupyter lab build --minimize=False +``` + +### Uninstall + +```bash +pip uninstall jupyter_bokeh +``` + + +%package help +Summary: Development documents and examples for jupyter-bokeh +Provides: python3-jupyter-bokeh-doc +%description help +# jupyter_bokeh + + + +A Jupyter extension for rendering [Bokeh](https://bokeh.org) content within Jupyter. See also the separate [ipywidgets_bokeh](https://github.com/bokeh/ipywidgets_bokeh) library for support for using Jupyter widgets/ipywidgets objects within Bokeh applications. + + +## Install + +For versions 3.0 and newer of JupyterLab, you have the option to install +jupyter_bokeh with either ``pip`` or ``conda``: + +```bash +pip install jupyter_bokeh +``` + +or + +```bash +conda install -c conda-forge jupyter_bokeh +``` + +For versions of Jupyter Lab older than 3.0, you must install the labextension +separately: + +```bash +conda install -c conda-forge jupyter_bokeh +jupyter labextension install @jupyter-widgets/jupyterlab-manager +jupyter labextension install @bokeh/jupyter_bokeh +``` + +To install a specific version: + +```bash +jupyter labextension install @bokeh/jupyter_bokeh@x.y.x +``` + +## Compatibility + +The core [Bokeh](https://github.com/bokeh/bokeh) library is generally version independent of +[JupyterLab](https://github.com/jupyterlab/jupyterlab) and this ``jupyter_bokeh`` extension +for versions of ``bokeh>=2.0.0``. + +Our goal is that ``jupyter_bokeh`` minor releases (using the [SemVer](https://semver.org/) pattern) are +made to follow JupyterLab minor release bumps, while micro releases are for new ``jupyter_bokeh`` features +or bug fix releases. We've been previously inconsistent with having the extension release minor version bumps +track that of JupyterLab, so users seeking to find extension releases that are compatible with their JupyterLab +installation may refer to the below table. + +###### Compatible JupyterLab and `jupyter_bokeh` versions + +| JupyterLab | `jupyter_bokeh` | +| ------------- | ---------------- | +| 0.34.x | 0.6.2 | +| 0.35.x | 0.6.3 | +| 1.0.x | 1.0.0 | +| 2.0.x | 2.0.0 | +| 3.0.x | 3.0.0 | + +## Contributing + +### Development install + +Note: You will need NodeJS to build the extension package. + +The `jlpm` command is JupyterLab's pinned version of +[yarn](https://yarnpkg.com/) that is installed with JupyterLab. You may use +`yarn` or `npm` in lieu of `jlpm` below. + +```bash +# Clone the repo to your local environment +# Change directory to the jupyter_bokeh directory +# Install package in development mode +pip install -e . +# Link your development version of the extension with JupyterLab +jupyter labextension develop . --overwrite +# Rebuild extension Typescript source after making changes +jlpm run build +``` + +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 extension. + +```bash +# Watch the source directory in one terminal, automatically rebuilding when needed +jlpm run watch +# Run JupyterLab in another terminal +jupyter lab +``` + +With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt). + +By default, the `jlpm run build` command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command: + +```bash +jupyter lab build --minimize=False +``` + +### Uninstall + +```bash +pip uninstall jupyter_bokeh +``` + + +%prep +%autosetup -n jupyter-bokeh-3.0.7 + +%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-bokeh -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 3.0.7-1 +- Package Spec generated @@ -0,0 +1 @@ +2527699728e06e8ba5946d4d386b404e jupyter_bokeh-3.0.7.tar.gz |