From 4e084895a59f34f88ef1849c0d34109b121666a2 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Tue, 11 Apr 2023 20:07:48 +0000
Subject: automatic import of python-forestci

---
 python-forestci.spec | 86 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 86 insertions(+)
 create mode 100644 python-forestci.spec

(limited to 'python-forestci.spec')

diff --git a/python-forestci.spec b/python-forestci.spec
new file mode 100644
index 0000000..0a85341
--- /dev/null
+++ b/python-forestci.spec
@@ -0,0 +1,86 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-forestci
+Version:	0.6
+Release:	1
+Summary:	forestci: confidence intervals for scikit-learn forest algorithms
+License:	MIT
+URL:		http://github.com/scikit-learn-contrib/forest-confidence-interval
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/5e/a3/bd82281a88d3c649a7faaf51dec4c78e0c6ed6edee0c5aa1e1f58ace0edc/forestci-0.6.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scikit-learn
+
+%description
+`forest-confidence-interval` is a Python module for calculating variance and
+adding confidence intervals to scikit-learn random forest regression or
+classification objects. The core functions calculate an in-bag and error bars
+for random forest objects
+Please read the repository README_ on Github or our documentation_
+
+%package -n python3-forestci
+Summary:	forestci: confidence intervals for scikit-learn forest algorithms
+Provides:	python-forestci
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-forestci
+`forest-confidence-interval` is a Python module for calculating variance and
+adding confidence intervals to scikit-learn random forest regression or
+classification objects. The core functions calculate an in-bag and error bars
+for random forest objects
+Please read the repository README_ on Github or our documentation_
+
+%package help
+Summary:	Development documents and examples for forestci
+Provides:	python3-forestci-doc
+%description help
+`forest-confidence-interval` is a Python module for calculating variance and
+adding confidence intervals to scikit-learn random forest regression or
+classification objects. The core functions calculate an in-bag and error bars
+for random forest objects
+Please read the repository README_ on Github or our documentation_
+
+%prep
+%autosetup -n forestci-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-forestci -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6-1
+- Package Spec generated
-- 
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