%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