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|
%global _empty_manifest_terminate_build 0
Name: python-jupyterlab-markup
Version: 2.0.0
Release: 1
Summary: Extensible markdown rendering support in markdown
License: BSD-3-Clause
URL: https://github.com/agoose77/jupyterlab-markup.git
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3a/92/2b06d513104d997fff1354e524f615ba7cc2315569c2bb46bce3c8c076e5/jupyterlab_markup-2.0.0.tar.gz
BuildArch: noarch
Requires: python3-jupyterlab
%description
# jupyterlab_markup
[![pypi-badge][]][pypi] [![binder-badge][]][binder] [![ci-badge][]][ci]
[binder-badge]: https://mybinder.org/badge_logo.svg
[binder]: https://mybinder.org/v2/gh/agoose77/jupyterlab-markup.git/main?urlpath=lab
[pypi-badge]: https://img.shields.io/pypi/v/jupyterlab-markup
[pypi]: https://pypi.org/project/jupyterlab-markup
[ci-badge]: https://github.com/agoose77/jupyterlab-markup/actions/workflows/ci.yml/badge.svg
[ci]: https://github.com/agoose77/jupyterlab-markup/actions/workflows/ci.yml
Additional markdown rendering support in markdown.
This extension is composed of a Python package named `jupyterlab_markup`
for the server extension and a NPM package named `@agoose77/jupyterlab-markup`
for the frontend extension.
## Requirements
- JupyterLab >= 3.0
## Install
```bash
pip install jupyterlab_markup
```
## Troubleshoot
If you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:
```bash
jupyter server extension list
```
If the server extension is installed and enabled, but you are not seeing
the frontend extension, check the frontend extension is installed:
```bash
jupyter labextension list
```
## 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 jupyterlab_markup 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 jupyterlab_markup
```
%package -n python3-jupyterlab-markup
Summary: Extensible markdown rendering support in markdown
Provides: python-jupyterlab-markup
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-jupyterlab-markup
# jupyterlab_markup
[![pypi-badge][]][pypi] [![binder-badge][]][binder] [![ci-badge][]][ci]
[binder-badge]: https://mybinder.org/badge_logo.svg
[binder]: https://mybinder.org/v2/gh/agoose77/jupyterlab-markup.git/main?urlpath=lab
[pypi-badge]: https://img.shields.io/pypi/v/jupyterlab-markup
[pypi]: https://pypi.org/project/jupyterlab-markup
[ci-badge]: https://github.com/agoose77/jupyterlab-markup/actions/workflows/ci.yml/badge.svg
[ci]: https://github.com/agoose77/jupyterlab-markup/actions/workflows/ci.yml
Additional markdown rendering support in markdown.
This extension is composed of a Python package named `jupyterlab_markup`
for the server extension and a NPM package named `@agoose77/jupyterlab-markup`
for the frontend extension.
## Requirements
- JupyterLab >= 3.0
## Install
```bash
pip install jupyterlab_markup
```
## Troubleshoot
If you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:
```bash
jupyter server extension list
```
If the server extension is installed and enabled, but you are not seeing
the frontend extension, check the frontend extension is installed:
```bash
jupyter labextension list
```
## 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 jupyterlab_markup 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 jupyterlab_markup
```
%package help
Summary: Development documents and examples for jupyterlab-markup
Provides: python3-jupyterlab-markup-doc
%description help
# jupyterlab_markup
[![pypi-badge][]][pypi] [![binder-badge][]][binder] [![ci-badge][]][ci]
[binder-badge]: https://mybinder.org/badge_logo.svg
[binder]: https://mybinder.org/v2/gh/agoose77/jupyterlab-markup.git/main?urlpath=lab
[pypi-badge]: https://img.shields.io/pypi/v/jupyterlab-markup
[pypi]: https://pypi.org/project/jupyterlab-markup
[ci-badge]: https://github.com/agoose77/jupyterlab-markup/actions/workflows/ci.yml/badge.svg
[ci]: https://github.com/agoose77/jupyterlab-markup/actions/workflows/ci.yml
Additional markdown rendering support in markdown.
This extension is composed of a Python package named `jupyterlab_markup`
for the server extension and a NPM package named `@agoose77/jupyterlab-markup`
for the frontend extension.
## Requirements
- JupyterLab >= 3.0
## Install
```bash
pip install jupyterlab_markup
```
## Troubleshoot
If you are seeing the frontend extension, but it is not working, check
that the server extension is enabled:
```bash
jupyter server extension list
```
If the server extension is installed and enabled, but you are not seeing
the frontend extension, check the frontend extension is installed:
```bash
jupyter labextension list
```
## 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 jupyterlab_markup 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 jupyterlab_markup
```
%prep
%autosetup -n jupyterlab-markup-2.0.0
%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-jupyterlab-markup -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.0-1
- Package Spec generated
|