automatic import of python-ethnicolropeneuler20.03

3 files changed, 100 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..70b44bd 100644
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+/ethnicolr-0.9.6.tar.gz
diff --git a/python-ethnicolr.spec b/python-ethnicolr.spec
new file mode 100644
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+%global _empty_manifest_terminate_build 0
+Name:		python-ethnicolr
+Version:	0.9.6
+Release:	1
+Summary:	Predict Race/Ethnicity Based on Sequence of Characters in the Name
+License:	MIT
+URL:		https://github.com/appeler/ethnicolr
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/f7/05/073f62a75773d4f67ab3e86079d9e0ecc0ca5200a4164c8e4a4fc1395496/ethnicolr-0.9.6.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-tensorflow
+Requires:	python3-tensorflow-aarch64
+Requires:	python3-check-manifest
+Requires:	python3-coverage
+
+%description
+We exploit the US census data, the Florida voting registration data, and 
+the Wikipedia data collected by Skiena and colleagues, to predict race
+and ethnicity based on first and last name or just the last name. The granularity 
+at which we predict the race depends on the dataset. For instance, 
+Skiena et al.' Wikipedia data is at the ethnic group level, while the 
+census data we use in the model (the raw data has additional categories of 
+Native Americans and Bi-racial) merely categorizes between Non-Hispanic Whites, 
+Non-Hispanic Blacks, Asians, and Hispanics.
+
+%package -n python3-ethnicolr
+Summary:	Predict Race/Ethnicity Based on Sequence of Characters in the Name
+Provides:	python-ethnicolr
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ethnicolr
+We exploit the US census data, the Florida voting registration data, and 
+the Wikipedia data collected by Skiena and colleagues, to predict race
+and ethnicity based on first and last name or just the last name. The granularity 
+at which we predict the race depends on the dataset. For instance, 
+Skiena et al.' Wikipedia data is at the ethnic group level, while the 
+census data we use in the model (the raw data has additional categories of 
+Native Americans and Bi-racial) merely categorizes between Non-Hispanic Whites, 
+Non-Hispanic Blacks, Asians, and Hispanics.
+
+%package help
+Summary:	Development documents and examples for ethnicolr
+Provides:	python3-ethnicolr-doc
+%description help
+We exploit the US census data, the Florida voting registration data, and 
+the Wikipedia data collected by Skiena and colleagues, to predict race
+and ethnicity based on first and last name or just the last name. The granularity 
+at which we predict the race depends on the dataset. For instance, 
+Skiena et al.' Wikipedia data is at the ethnic group level, while the 
+census data we use in the model (the raw data has additional categories of 
+Native Americans and Bi-racial) merely categorizes between Non-Hispanic Whites, 
+Non-Hispanic Blacks, Asians, and Hispanics.
+
+%prep
+%autosetup -n ethnicolr-0.9.6
+
+%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-ethnicolr -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.6-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..269106b
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+daf50e10eaae7a8f654b67070c8d3117  ethnicolr-0.9.6.tar.gz