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|
%global _empty_manifest_terminate_build 0
Name: python-schedula
Version: 1.4.9
Release: 1
Summary: Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies.
License: EUPL 1.1+
URL: https://github.com/vinci1it2000/schedula
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1e/53/99f50852c1dd021b2e0d094bae9d9112233705e34bb89d12b332fd193bda/schedula-1.4.9.tar.gz
BuildArch: noarch
Requires: python3-Pygments
Requires: python3-dill
Requires: python3-docutils
Requires: python3-flask
Requires: python3-graphviz
Requires: python3-itsdangerous
Requires: python3-jinja2
Requires: python3-multiprocess
Requires: python3-regex
Requires: python3-requests
Requires: python3-sphinx
Requires: python3-Pygments
Requires: python3-dill
Requires: python3-docutils
Requires: python3-flask
Requires: python3-graphviz
Requires: python3-itsdangerous
Requires: python3-jinja2
Requires: python3-multiprocess
Requires: python3-regex
Requires: python3-requests
Requires: python3-sphinx
Requires: python3-wheel
Requires: python3-gitchangelog
Requires: python3-mako
Requires: python3-sphinx-rtd-theme
Requires: python3-setuptools
Requires: python3-sphinxcontrib-restbuilder
Requires: python3-coveralls
Requires: python3-readthedocs-sphinx-ext
Requires: python3-twine
Requires: python3-ddt
Requires: python3-requests
Requires: python3-regex
Requires: python3-flask
Requires: python3-itsdangerous
Requires: python3-dill
Requires: python3-multiprocess
Requires: python3-requests
Requires: python3-graphviz
Requires: python3-regex
Requires: python3-flask
Requires: python3-Pygments
Requires: python3-jinja2
Requires: python3-docutils
Requires: python3-sphinx
Requires: python3-requests
Requires: python3-graphviz
Requires: python3-regex
Requires: python3-flask
Requires: python3-Pygments
Requires: python3-jinja2
Requires: python3-docutils
Requires: python3-requests
Requires: python3-regex
Requires: python3-flask
%description
The design of flow-based programs begins with the definition of the
control flow graph, and implicitly of its inputs and outputs. If the
program accepts multiple combinations of inputs and outputs, you have
to design and code all control flow graphs. With normal schedulers, it
can be very demanding.
While with **schedula**, giving whatever set of inputs, it
automatically calculates any of the desired computable outputs,
choosing the most appropriate DAG from the dataflow execution model.
Note: The DAG is determined at runtime and it is extracted using the
shortest path from the provided inputs. The path is calculated
based on a weighted directed graph (dataflow execution model) with
a modified Dijkstra algorithm.
**schedula** makes the code easy to debug, to optimize, and to present
it to a non-IT audience through its interactive graphs and charts. It
provides the option to run a model asynchronously or in parallel
managing automatically the Global Interpreter Lock (GIL), and to
convert a model into a web API service.
Installation
************
To install it use (with root privileges):
$ pip install schedula
or download the last git version and use (with root privileges):
$ python setup.py install
%package -n python3-schedula
Summary: Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies.
Provides: python-schedula
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-schedula
The design of flow-based programs begins with the definition of the
control flow graph, and implicitly of its inputs and outputs. If the
program accepts multiple combinations of inputs and outputs, you have
to design and code all control flow graphs. With normal schedulers, it
can be very demanding.
While with **schedula**, giving whatever set of inputs, it
automatically calculates any of the desired computable outputs,
choosing the most appropriate DAG from the dataflow execution model.
Note: The DAG is determined at runtime and it is extracted using the
shortest path from the provided inputs. The path is calculated
based on a weighted directed graph (dataflow execution model) with
a modified Dijkstra algorithm.
**schedula** makes the code easy to debug, to optimize, and to present
it to a non-IT audience through its interactive graphs and charts. It
provides the option to run a model asynchronously or in parallel
managing automatically the Global Interpreter Lock (GIL), and to
convert a model into a web API service.
Installation
************
To install it use (with root privileges):
$ pip install schedula
or download the last git version and use (with root privileges):
$ python setup.py install
%package help
Summary: Development documents and examples for schedula
Provides: python3-schedula-doc
%description help
The design of flow-based programs begins with the definition of the
control flow graph, and implicitly of its inputs and outputs. If the
program accepts multiple combinations of inputs and outputs, you have
to design and code all control flow graphs. With normal schedulers, it
can be very demanding.
While with **schedula**, giving whatever set of inputs, it
automatically calculates any of the desired computable outputs,
choosing the most appropriate DAG from the dataflow execution model.
Note: The DAG is determined at runtime and it is extracted using the
shortest path from the provided inputs. The path is calculated
based on a weighted directed graph (dataflow execution model) with
a modified Dijkstra algorithm.
**schedula** makes the code easy to debug, to optimize, and to present
it to a non-IT audience through its interactive graphs and charts. It
provides the option to run a model asynchronously or in parallel
managing automatically the Global Interpreter Lock (GIL), and to
convert a model into a web API service.
Installation
************
To install it use (with root privileges):
$ pip install schedula
or download the last git version and use (with root privileges):
$ python setup.py install
%prep
%autosetup -n schedula-1.4.9
%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-schedula -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.9-1
- Package Spec generated
|
