automatic import of python-privuggeropeneuler20.03

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+/privugger-0.0.10.tar.gz
diff --git a/python-privugger.spec b/python-privugger.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-privugger
+Version:	0.0.10
+Release:	1
+Summary:	Privacy risk analysis library for Python programs.
+License:	Apache license
+URL:		https://github.com/itu-square/privugger
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/08/59/d922753ec0e028aa47d45d8f6ec06d1defee632778ad9bb237175e99c3b4/privugger-0.0.10.tar.gz
+BuildArch:	noarch
+
+
+%description
+# Privugger: Data Privacy Debugger
+
+Docs and tutorials: https://itu-square.github.io/privugger/
+
+Privugger (/prɪvʌɡə(r)/) is a privacy risk analysis library for python
+programs.  Privugger, takes as input a python program and a
+specification of the adversary's knowledge about the input of the
+program (the _prior knowledge_), and it returns a wide variety of
+privacy risk analyses, including the following leakage measures:
+
+* Knowledge-based probability queries
+* Entropy
+* Mutual Information
+* KL-divergence
+* min-entropy
+* Bayes risk
+* ...
+
+Furthermore, Privugger is equipped with a module to perform _automatic
+attacker synthesis_. That is, given a program and a leakage measure,
+it finds the adversary's prior knowledge that maximizes the
+leakage. In other words, it tells us what is the minimum amount of
+information that the adversary must know in order for the program to
+exhibit privacy risks. If this knowledge is publicly available, then
+the program does not effectively protect users' privacy.
+
+
+
+## Installation 
+
+Privugger is a tool written entirely in Python and can be installed using the pip packet manager.
+
+To install write following in command line: 
+
+`pip install privugger`
+
+Usage:
+
+`import privugger as pv`
+
+`x = pv.Normal(...)`
+
+`ds = pv.Dataset(...)`
+
+ `program = pv.Program(...)`
+
+`trace = pv.infer(...)`
+
+
+
+
+
+%package -n python3-privugger
+Summary:	Privacy risk analysis library for Python programs.
+Provides:	python-privugger
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-privugger
+# Privugger: Data Privacy Debugger
+
+Docs and tutorials: https://itu-square.github.io/privugger/
+
+Privugger (/prɪvʌɡə(r)/) is a privacy risk analysis library for python
+programs.  Privugger, takes as input a python program and a
+specification of the adversary's knowledge about the input of the
+program (the _prior knowledge_), and it returns a wide variety of
+privacy risk analyses, including the following leakage measures:
+
+* Knowledge-based probability queries
+* Entropy
+* Mutual Information
+* KL-divergence
+* min-entropy
+* Bayes risk
+* ...
+
+Furthermore, Privugger is equipped with a module to perform _automatic
+attacker synthesis_. That is, given a program and a leakage measure,
+it finds the adversary's prior knowledge that maximizes the
+leakage. In other words, it tells us what is the minimum amount of
+information that the adversary must know in order for the program to
+exhibit privacy risks. If this knowledge is publicly available, then
+the program does not effectively protect users' privacy.
+
+
+
+## Installation 
+
+Privugger is a tool written entirely in Python and can be installed using the pip packet manager.
+
+To install write following in command line: 
+
+`pip install privugger`
+
+Usage:
+
+`import privugger as pv`
+
+`x = pv.Normal(...)`
+
+`ds = pv.Dataset(...)`
+
+ `program = pv.Program(...)`
+
+`trace = pv.infer(...)`
+
+
+
+
+
+%package help
+Summary:	Development documents and examples for privugger
+Provides:	python3-privugger-doc
+%description help
+# Privugger: Data Privacy Debugger
+
+Docs and tutorials: https://itu-square.github.io/privugger/
+
+Privugger (/prɪvʌɡə(r)/) is a privacy risk analysis library for python
+programs.  Privugger, takes as input a python program and a
+specification of the adversary's knowledge about the input of the
+program (the _prior knowledge_), and it returns a wide variety of
+privacy risk analyses, including the following leakage measures:
+
+* Knowledge-based probability queries
+* Entropy
+* Mutual Information
+* KL-divergence
+* min-entropy
+* Bayes risk
+* ...
+
+Furthermore, Privugger is equipped with a module to perform _automatic
+attacker synthesis_. That is, given a program and a leakage measure,
+it finds the adversary's prior knowledge that maximizes the
+leakage. In other words, it tells us what is the minimum amount of
+information that the adversary must know in order for the program to
+exhibit privacy risks. If this knowledge is publicly available, then
+the program does not effectively protect users' privacy.
+
+
+
+## Installation 
+
+Privugger is a tool written entirely in Python and can be installed using the pip packet manager.
+
+To install write following in command line: 
+
+`pip install privugger`
+
+Usage:
+
+`import privugger as pv`
+
+`x = pv.Normal(...)`
+
+`ds = pv.Dataset(...)`
+
+ `program = pv.Program(...)`
+
+`trace = pv.infer(...)`
+
+
+
+
+
+%prep
+%autosetup -n privugger-0.0.10
+
+%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-privugger -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.10-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..337a765
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+999613ad9119041df9124745a4b3c029  privugger-0.0.10.tar.gz