%global _empty_manifest_terminate_build 0 Name: python-ttgtcanvas2 Version: 0.1.41 Release: 1 Summary: A maze library License: BSD URL: https://github.com//ttgtcanvas2 Source0: https://mirrors.aliyun.com/pypi/web/packages/40/b3/2ade44cd7045554711c992a7eaa2619302bb9d3c7e34fd6ed09c2ccc0fa6/ttgtcanvas2-0.1.41.tar.gz BuildArch: noarch Requires: python3-ipywidgets Requires: python3-jupyter-sphinx Requires: python3-nbsphinx Requires: python3-nbsphinx-link Requires: python3-pytest-check-links Requires: python3-pypandoc Requires: python3-recommonmark Requires: python3-sphinx Requires: python3-sphinx-rtd-theme Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-nbval %description # ttgtcanvas2 [![Build Status](https://travis-ci.org//ttgtcanvas2.svg?branch=master)](https://travis-ci.org//ttgtcanvas2) [![codecov](https://codecov.io/gh//ttgtcanvas2/branch/master/graph/badge.svg)](https://codecov.io/gh//ttgtcanvas2) A maze library ## Installation You can install using `pip`: ```bash pip install ttgtcanvas2 ``` 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] ttgtcanvas2 ``` ## Development Installation Create a dev environment: ```bash conda create -n ttgtcanvas2-dev -c conda-forge nodejs yarn python jupyterlab conda activate ttgtcanvas2-dev ``` Install the python. This will also build the TS package. ```bash pip install -e ".[test, examples]" ``` When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command: ``` jupyter labextension develop --overwrite . yarn run build ``` For classic notebook, you need to run: ``` jupyter nbextension install --sys-prefix --symlink --overwrite --py ttgtcanvas2 jupyter nbextension enable --sys-prefix --py ttgtcanvas2 ``` 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 #### Typescript: 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-ttgtcanvas2 Summary: A maze library Provides: python-ttgtcanvas2 BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-ttgtcanvas2 # ttgtcanvas2 [![Build Status](https://travis-ci.org//ttgtcanvas2.svg?branch=master)](https://travis-ci.org//ttgtcanvas2) [![codecov](https://codecov.io/gh//ttgtcanvas2/branch/master/graph/badge.svg)](https://codecov.io/gh//ttgtcanvas2) A maze library ## Installation You can install using `pip`: ```bash pip install ttgtcanvas2 ``` 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] ttgtcanvas2 ``` ## Development Installation Create a dev environment: ```bash conda create -n ttgtcanvas2-dev -c conda-forge nodejs yarn python jupyterlab conda activate ttgtcanvas2-dev ``` Install the python. This will also build the TS package. ```bash pip install -e ".[test, examples]" ``` When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command: ``` jupyter labextension develop --overwrite . yarn run build ``` For classic notebook, you need to run: ``` jupyter nbextension install --sys-prefix --symlink --overwrite --py ttgtcanvas2 jupyter nbextension enable --sys-prefix --py ttgtcanvas2 ``` 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 #### Typescript: 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 ttgtcanvas2 Provides: python3-ttgtcanvas2-doc %description help # ttgtcanvas2 [![Build Status](https://travis-ci.org//ttgtcanvas2.svg?branch=master)](https://travis-ci.org//ttgtcanvas2) [![codecov](https://codecov.io/gh//ttgtcanvas2/branch/master/graph/badge.svg)](https://codecov.io/gh//ttgtcanvas2) A maze library ## Installation You can install using `pip`: ```bash pip install ttgtcanvas2 ``` 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] ttgtcanvas2 ``` ## Development Installation Create a dev environment: ```bash conda create -n ttgtcanvas2-dev -c conda-forge nodejs yarn python jupyterlab conda activate ttgtcanvas2-dev ``` Install the python. This will also build the TS package. ```bash pip install -e ".[test, examples]" ``` When developing your extensions, you need to manually enable your extensions with the notebook / lab frontend. For lab, this is done by the command: ``` jupyter labextension develop --overwrite . yarn run build ``` For classic notebook, you need to run: ``` jupyter nbextension install --sys-prefix --symlink --overwrite --py ttgtcanvas2 jupyter nbextension enable --sys-prefix --py ttgtcanvas2 ``` 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 #### Typescript: 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 ttgtcanvas2-0.1.41 %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-ttgtcanvas2 -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 0.1.41-1 - Package Spec generated