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%global _empty_manifest_terminate_build 0
Name: python-dcor
Version: 0.6
Release: 1
Summary: dcor: distance correlation and energy statistics in Python.
License: MIT License Copyright (c) 2017 Carlos Ramos Carreño Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
URL: https://pypi.org/project/dcor/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/00/a7/1d06e98f1b123be60ba5de004edba510025da689c8cfb501299a8f2ba1d1/dcor-0.6.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-numba
Requires: python3-scipy
Requires: python3-joblib
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pytest-subtests
Requires: python3-numpy
Requires: python3-numba
%description
|tests| |docs| |coverage| |pypi| |conda| |zenodo|
dcor: distance correlation and energy statistics in Python.
E-statistics are functions of distances between statistical observations
in metric spaces.
Distance covariance and distance correlation are
dependency measures between random vectors introduced in [SRB07]_ with
a simple E-statistic estimator.
This package offers functions for calculating several E-statistics
such as:
- Estimator of the energy distance [SR13]_.
- Biased and unbiased estimators of distance covariance and
distance correlation [SRB07]_.
- Estimators of the partial distance covariance and partial
distance covariance [SR14]_.
It also provides tests based on these E-statistics:
- Test of homogeneity based on the energy distance.
- Test of independence based on distance covariance.
%package -n python3-dcor
Summary: dcor: distance correlation and energy statistics in Python.
Provides: python-dcor
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dcor
|tests| |docs| |coverage| |pypi| |conda| |zenodo|
dcor: distance correlation and energy statistics in Python.
E-statistics are functions of distances between statistical observations
in metric spaces.
Distance covariance and distance correlation are
dependency measures between random vectors introduced in [SRB07]_ with
a simple E-statistic estimator.
This package offers functions for calculating several E-statistics
such as:
- Estimator of the energy distance [SR13]_.
- Biased and unbiased estimators of distance covariance and
distance correlation [SRB07]_.
- Estimators of the partial distance covariance and partial
distance covariance [SR14]_.
It also provides tests based on these E-statistics:
- Test of homogeneity based on the energy distance.
- Test of independence based on distance covariance.
%package help
Summary: Development documents and examples for dcor
Provides: python3-dcor-doc
%description help
|tests| |docs| |coverage| |pypi| |conda| |zenodo|
dcor: distance correlation and energy statistics in Python.
E-statistics are functions of distances between statistical observations
in metric spaces.
Distance covariance and distance correlation are
dependency measures between random vectors introduced in [SRB07]_ with
a simple E-statistic estimator.
This package offers functions for calculating several E-statistics
such as:
- Estimator of the energy distance [SR13]_.
- Biased and unbiased estimators of distance covariance and
distance correlation [SRB07]_.
- Estimators of the partial distance covariance and partial
distance covariance [SR14]_.
It also provides tests based on these E-statistics:
- Test of homogeneity based on the energy distance.
- Test of independence based on distance covariance.
%prep
%autosetup -n dcor-0.6
%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-dcor -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6-1
- Package Spec generated
|
