blob: 287164d774988a3e0e5bbdd3d2a4dda48015d718 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
|
%global _empty_manifest_terminate_build 0
Name: python-stochopy
Version: 2.3.0
Release: 1
Summary: Python library for stochastic numerical optimization
License: BSD 3-Clause License
URL: https://github.com/keurfonluu/stochopy
Source0: https://mirrors.aliyun.com/pypi/web/packages/21/e8/ae6ed7239ed373fb3d3b92a2f7775884ec5d7756171f752ffadc90af021c/stochopy-2.3.0.tar.gz
BuildArch: noarch
Requires: python3-importlib-metadata
Requires: python3-numpy
Requires: python3-joblib
%description
|License| |Stars| |Pyversions| |Version| |Downloads| |Code style: black| |Codacy Badge| |Codecov| |Build| |Docs| |DOI|
**stochopy** provides functions for sampling or optimizing objective functions with or without constraints. Its API is directly inspired by **scipy**'s own optimization submodule which should make the switch from one module to another straightforward.
Optimization of 2D multimodal function Styblinski-Tang using PSO.
%package -n python3-stochopy
Summary: Python library for stochastic numerical optimization
Provides: python-stochopy
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-stochopy
|License| |Stars| |Pyversions| |Version| |Downloads| |Code style: black| |Codacy Badge| |Codecov| |Build| |Docs| |DOI|
**stochopy** provides functions for sampling or optimizing objective functions with or without constraints. Its API is directly inspired by **scipy**'s own optimization submodule which should make the switch from one module to another straightforward.
Optimization of 2D multimodal function Styblinski-Tang using PSO.
%package help
Summary: Development documents and examples for stochopy
Provides: python3-stochopy-doc
%description help
|License| |Stars| |Pyversions| |Version| |Downloads| |Code style: black| |Codacy Badge| |Codecov| |Build| |Docs| |DOI|
**stochopy** provides functions for sampling or optimizing objective functions with or without constraints. Its API is directly inspired by **scipy**'s own optimization submodule which should make the switch from one module to another straightforward.
Optimization of 2D multimodal function Styblinski-Tang using PSO.
%prep
%autosetup -n stochopy-2.3.0
%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-stochopy -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.0-1
- Package Spec generated
|