automatic import of python-fisherexact

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diff --git a/.gitignore b/.gitignore
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+/FisherExact-1.4.2.tar.gz
diff --git a/python-fisherexact.spec b/python-fisherexact.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-FisherExact
+Version:	1.4.2
+Release:	1
+Summary:	Fishe's Exact test for mxn contingency table
+License:	GPL
+URL:		https://github.com/maclandrol/FisherExact
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/6f/e9/a849764e3da0f166cd1e37c624fc74f918920c72feb72f351854cbfedd94/FisherExact-1.4.2.tar.gz
+BuildArch:	noarch
+
+
+%description
+        table : array_like of ints
+            A 2x2 contingency table.  Elements should be non-negative integers.
+        alternative : {'two-sided', 'less', 'greater'}, optional
+            Which alternative hypothesis to the null hypothesis the test uses.
+            Default is 'two-sided'.  Only used in the 2 x 2 case (with the scipy function).
+            In every other case, the two-sided pval is returned.
+        mult : int 
+            Specify the size of the workspace used in the network algorithm.  
+            Only used for non-simulated p-values larger than 2 x 2 table. 
+            You might want to increase this if the p-value failed
+        hybrid : bool
+            Only used for larger than 2 x 2 tables, in which cases it indicates
+            whether the exact probabilities (default) or a hybrid approximation 
+            thereof should be computed.
+        midP : bool
+            Use this to enable mid-P correction. Could lead to slow computation.
+            This is not applicable for simulation p-values. `alternative` cannot 
+            be used if you enable midpoint correction.
+        simulate_pval : bool 
+            Indicate whether to compute p-values by Monte Carlo simulation,
+             in larger than 2 x 2 tables.
+        replicate : int
+            An integer specifying the number of replicates used in the Monte Carlo test.
+        workspace : int
+            An integer specifying the workspace size. Default value is 300. 
+        attempt : int
+            Number of attempts to try, if the workspace size is not enough. 
+            On each attempt, the workspace size is doubled. 
+        seed : int
+            Random number to use as seed. If a seed isn't provided. 4 bytes will be read 
+            from os.urandom. If this fail, getrandbits of the random module 
+            (with 32 random bits) will be used. In the particular case where both failed,
+            the current time will be used
+
+%package -n python3-FisherExact
+Summary:	Fishe's Exact test for mxn contingency table
+Provides:	python-FisherExact
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-FisherExact
+        table : array_like of ints
+            A 2x2 contingency table.  Elements should be non-negative integers.
+        alternative : {'two-sided', 'less', 'greater'}, optional
+            Which alternative hypothesis to the null hypothesis the test uses.
+            Default is 'two-sided'.  Only used in the 2 x 2 case (with the scipy function).
+            In every other case, the two-sided pval is returned.
+        mult : int 
+            Specify the size of the workspace used in the network algorithm.  
+            Only used for non-simulated p-values larger than 2 x 2 table. 
+            You might want to increase this if the p-value failed
+        hybrid : bool
+            Only used for larger than 2 x 2 tables, in which cases it indicates
+            whether the exact probabilities (default) or a hybrid approximation 
+            thereof should be computed.
+        midP : bool
+            Use this to enable mid-P correction. Could lead to slow computation.
+            This is not applicable for simulation p-values. `alternative` cannot 
+            be used if you enable midpoint correction.
+        simulate_pval : bool 
+            Indicate whether to compute p-values by Monte Carlo simulation,
+             in larger than 2 x 2 tables.
+        replicate : int
+            An integer specifying the number of replicates used in the Monte Carlo test.
+        workspace : int
+            An integer specifying the workspace size. Default value is 300. 
+        attempt : int
+            Number of attempts to try, if the workspace size is not enough. 
+            On each attempt, the workspace size is doubled. 
+        seed : int
+            Random number to use as seed. If a seed isn't provided. 4 bytes will be read 
+            from os.urandom. If this fail, getrandbits of the random module 
+            (with 32 random bits) will be used. In the particular case where both failed,
+            the current time will be used
+
+%package help
+Summary:	Development documents and examples for FisherExact
+Provides:	python3-FisherExact-doc
+%description help
+        table : array_like of ints
+            A 2x2 contingency table.  Elements should be non-negative integers.
+        alternative : {'two-sided', 'less', 'greater'}, optional
+            Which alternative hypothesis to the null hypothesis the test uses.
+            Default is 'two-sided'.  Only used in the 2 x 2 case (with the scipy function).
+            In every other case, the two-sided pval is returned.
+        mult : int 
+            Specify the size of the workspace used in the network algorithm.  
+            Only used for non-simulated p-values larger than 2 x 2 table. 
+            You might want to increase this if the p-value failed
+        hybrid : bool
+            Only used for larger than 2 x 2 tables, in which cases it indicates
+            whether the exact probabilities (default) or a hybrid approximation 
+            thereof should be computed.
+        midP : bool
+            Use this to enable mid-P correction. Could lead to slow computation.
+            This is not applicable for simulation p-values. `alternative` cannot 
+            be used if you enable midpoint correction.
+        simulate_pval : bool 
+            Indicate whether to compute p-values by Monte Carlo simulation,
+             in larger than 2 x 2 tables.
+        replicate : int
+            An integer specifying the number of replicates used in the Monte Carlo test.
+        workspace : int
+            An integer specifying the workspace size. Default value is 300. 
+        attempt : int
+            Number of attempts to try, if the workspace size is not enough. 
+            On each attempt, the workspace size is doubled. 
+        seed : int
+            Random number to use as seed. If a seed isn't provided. 4 bytes will be read 
+            from os.urandom. If this fail, getrandbits of the random module 
+            (with 32 random bits) will be used. In the particular case where both failed,
+            the current time will be used
+
+%prep
+%autosetup -n FisherExact-1.4.2
+
+%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-FisherExact -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..652c000
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+76cc38df2a2b527dd549a65b171ac451  FisherExact-1.4.2.tar.gz