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%global _empty_manifest_terminate_build 0
Name: python-pyabc
Version: 0.12.9
Release: 1
Summary: Distributed, likelihood-free ABC-SMC inference
License: BSD-3-Clause
URL: https://github.com/icb-dcm/pyabc
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f1/67/cbf5104e5c29b2b10b1a5f65bccbd268376993b32e04f48b33a03c144911/pyabc-0.12.9.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-pandas
Requires: python3-cloudpickle
Requires: python3-scikit-learn
Requires: python3-click
Requires: python3-redis
Requires: python3-distributed
Requires: python3-matplotlib
Requires: python3-sqlalchemy
Requires: python3-jabbar
Requires: python3-gitpython
Requires: python3-rpy2
Requires: python3-cffi
Requires: python3-ipython
Requires: python3-pygments
Requires: python3-amici
Requires: python3-autograd
Requires: python3-copasi-basico
Requires: python3-sphinx
Requires: python3-nbsphinx
Requires: python3-nbconvert
Requires: python3-sphinx-rtd-theme
Requires: python3-sphinx-autodoc-typehints
Requires: python3-ipython
Requires: python3-notebook
Requires: python3-julia
Requires: python3-pygments
Requires: python3-alembic
Requires: python3-pot
Requires: python3-petab
Requires: python3-plotly
Requires: python3-kaleido
Requires: python3-pyarrow
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pytest-rerunfailures
Requires: python3-petabtests
Requires: python3-flask-bootstrap
Requires: python3-flask
Requires: python3-bokeh
Requires: python3-yaml2sbml
%description
|CI| |docs| |codecov| |pypi| |doi| |black|
Massively parallel, distributed and scalable ABC-SMC
(Approximate Bayesian Computation - Sequential Monte Carlo)
for parameter estimation of complex stochastic models.
Provides numerous state-of-the-art algorithms for
efficient, accurate, robust likelihood-free inference,
described in the documentation and illustrated in example
notebooks.
Written in Python with support for especially R and Julia.
- **Documentation:** https://pyabc.rtfd.io
- **Examples:** http://pyabc.rtfd.io/en/latest/examples.html
- **Contact:** https://pyabc.rtfd.io/en/latest/about.html
- **Bug reports:** https://github.com/icb-dcm/pyabc/issues
- **Source code:** https://github.com/icb-dcm/pyabc
- **Cite:** https://pyabc.rtfd.io/en/latest/cite.html
%package -n python3-pyabc
Summary: Distributed, likelihood-free ABC-SMC inference
Provides: python-pyabc
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pyabc
|CI| |docs| |codecov| |pypi| |doi| |black|
Massively parallel, distributed and scalable ABC-SMC
(Approximate Bayesian Computation - Sequential Monte Carlo)
for parameter estimation of complex stochastic models.
Provides numerous state-of-the-art algorithms for
efficient, accurate, robust likelihood-free inference,
described in the documentation and illustrated in example
notebooks.
Written in Python with support for especially R and Julia.
- **Documentation:** https://pyabc.rtfd.io
- **Examples:** http://pyabc.rtfd.io/en/latest/examples.html
- **Contact:** https://pyabc.rtfd.io/en/latest/about.html
- **Bug reports:** https://github.com/icb-dcm/pyabc/issues
- **Source code:** https://github.com/icb-dcm/pyabc
- **Cite:** https://pyabc.rtfd.io/en/latest/cite.html
%package help
Summary: Development documents and examples for pyabc
Provides: python3-pyabc-doc
%description help
|CI| |docs| |codecov| |pypi| |doi| |black|
Massively parallel, distributed and scalable ABC-SMC
(Approximate Bayesian Computation - Sequential Monte Carlo)
for parameter estimation of complex stochastic models.
Provides numerous state-of-the-art algorithms for
efficient, accurate, robust likelihood-free inference,
described in the documentation and illustrated in example
notebooks.
Written in Python with support for especially R and Julia.
- **Documentation:** https://pyabc.rtfd.io
- **Examples:** http://pyabc.rtfd.io/en/latest/examples.html
- **Contact:** https://pyabc.rtfd.io/en/latest/about.html
- **Bug reports:** https://github.com/icb-dcm/pyabc/issues
- **Source code:** https://github.com/icb-dcm/pyabc
- **Cite:** https://pyabc.rtfd.io/en/latest/cite.html
%prep
%autosetup -n pyabc-0.12.9
%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-pyabc -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.9-1
- Package Spec generated
|
