%global _empty_manifest_terminate_build 0 Name: python-nbsafety Version: 0.0.87 Release: 1 Summary: Fearless interactivity for Jupyter notebooks. License: BSD-3-Clause URL: https://github.com/nbsafety-project/nbsafety Source0: https://mirrors.nju.edu.cn/pypi/web/packages/35/0d/84166f0506ac7bcd5825814f950ce0788d0bcb204f5186d692bde6ab1300/nbsafety-0.0.87.tar.gz BuildArch: noarch Requires: python3-astunparse Requires: python3-black Requires: python3-ipykernel Requires: python3-ipython Requires: python3-jupyter Requires: python3-jupyterlab Requires: python3-mypy Requires: python3-nbclassic Requires: python3-nest-asyncio Requires: python3-pyccolo Requires: python3-traitlets %description `nbsafety` adds a layer of protection to computational notebooks by solving the *stale dependency problem* when executing cells out-of-order. Here's an example in action: nbsafety example When the first cell is rerun, the second cell now contains a reference to an updated `f` and is suggested for re-execution with a turquoise highlight. The third cell contains a reference to a stale `y` -- `y` is stale due to its dependency on an old value of `f`. As such, the third cell is marked as unsafe for re-execution with a red highlight. Once the second cell is rerun, it is now suggested to re-execute the third cell in order to refresh its stale output. `nbsafety` accomplishes its magic using a combination of a runtime tracer (to build the implicit dependency graph) and a static checker (to provide warnings before running a cell), both of which are deeply aware of Python's data model. In particular, `nbsafety` requires ***minimal to no changes*** in user behavior, opting to get out of the way unless absolutely necessary and letting you use notebooks the way you prefer. %package -n python3-nbsafety Summary: Fearless interactivity for Jupyter notebooks. Provides: python-nbsafety BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-nbsafety `nbsafety` adds a layer of protection to computational notebooks by solving the *stale dependency problem* when executing cells out-of-order. Here's an example in action: nbsafety example When the first cell is rerun, the second cell now contains a reference to an updated `f` and is suggested for re-execution with a turquoise highlight. The third cell contains a reference to a stale `y` -- `y` is stale due to its dependency on an old value of `f`. As such, the third cell is marked as unsafe for re-execution with a red highlight. Once the second cell is rerun, it is now suggested to re-execute the third cell in order to refresh its stale output. `nbsafety` accomplishes its magic using a combination of a runtime tracer (to build the implicit dependency graph) and a static checker (to provide warnings before running a cell), both of which are deeply aware of Python's data model. In particular, `nbsafety` requires ***minimal to no changes*** in user behavior, opting to get out of the way unless absolutely necessary and letting you use notebooks the way you prefer. %package help Summary: Development documents and examples for nbsafety Provides: python3-nbsafety-doc %description help `nbsafety` adds a layer of protection to computational notebooks by solving the *stale dependency problem* when executing cells out-of-order. Here's an example in action: nbsafety example When the first cell is rerun, the second cell now contains a reference to an updated `f` and is suggested for re-execution with a turquoise highlight. The third cell contains a reference to a stale `y` -- `y` is stale due to its dependency on an old value of `f`. As such, the third cell is marked as unsafe for re-execution with a red highlight. Once the second cell is rerun, it is now suggested to re-execute the third cell in order to refresh its stale output. `nbsafety` accomplishes its magic using a combination of a runtime tracer (to build the implicit dependency graph) and a static checker (to provide warnings before running a cell), both of which are deeply aware of Python's data model. In particular, `nbsafety` requires ***minimal to no changes*** in user behavior, opting to get out of the way unless absolutely necessary and letting you use notebooks the way you prefer. %prep %autosetup -n nbsafety-0.0.87 %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-nbsafety -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 0.0.87-1 - Package Spec generated