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diff --git a/python-fisherexact.spec b/python-fisherexact.spec new file mode 100644 index 0000000..6d3a580 --- /dev/null +++ b/python-fisherexact.spec @@ -0,0 +1,168 @@ +%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 |