#
# spec file for package perl-Statistics-ChiSquare
#
# Copyright (c) 2024 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.

# Please submit bugfixes or comments via https://bugs.opensuse.org/
#


%define cpan_name Statistics-ChiSquare
Name:           perl-Statistics-ChiSquare
Version:        1.0.0
Release:        0
# 1.0000 -> normalize -> 1.0.0
%define cpan_version 1.0000
#Upstream:  Jon Orwant, Readable Publications, Inc; orwant@oreilly.com Maintained and updated since October 2003 by David Cantrell, david@cantrell.org.uk This software is free-as-in-speech software, and may be used, distributed, and modified under the terms of either the GNU General Public Licence version 2 or the Artistic Licence. It's up to you which one you use. The full text of the licences can be found in the files GPL2.txt and ARTISTIC.txt, respectively.
License:        Artistic-1.0 OR GPL-1.0-or-later
Summary:        How well-distributed is your data?
URL:            https://metacpan.org/release/%{cpan_name}
Source0:        https://cpan.metacpan.org/authors/id/D/DC/DCANTRELL/%{cpan_name}-%{cpan_version}.tar.gz
Source1:        cpanspec.yml
Source100:      README.md
BuildArch:      noarch
BuildRequires:  perl
BuildRequires:  perl-macros
BuildRequires:  perl(Test::More) >= 0.88
Requires:       perl(Test::More) >= 0.88
Provides:       perl(Statistics::ChiSquare) = %{version}
%undefine       __perllib_provides
%{perl_requires}

%description
Suppose you flip a coin 100 times, and it turns up heads 70 times. _Is the
coin fair?_

Suppose you roll a die 100 times, and it shows 30 sixes. _Is the die
loaded?_

In statistics, the *chi-square* test calculates how well a series of
numbers fits a distribution. In this module, we only test for whether
results fit an even distribution. It doesn't simply say "yes" or "no".
Instead, it gives you a _confidence interval_, which sets upper and lower
bounds on the likelihood that the variation in your data is due to chance.
See the examples below.

If you've ever studied elementary genetics, you've probably heard about
Gregor Mendel. He was a wacky Austrian botanist who discovered (in 1865)
that traits could be inherited in a predictable fashion. He did lots of
experiments with cross breeding peas: green peas, yellow peas, smooth peas,
wrinkled peas. A veritable Brave New World of legumes.

But Mendel faked his data. A statistician by the name of R. A. Fisher used
the chi-square test to prove it.

%prep
%autosetup  -n %{cpan_name}-%{cpan_version}

find . -type f ! -path "*/t/*" ! -name "*.pl" ! -path "*/bin/*" ! -path "*/script/*" ! -path "*/scripts/*" ! -name "configure" -print0 | xargs -0 chmod 644

%build
perl Makefile.PL INSTALLDIRS=vendor
%make_build

%check
make test

%install
%perl_make_install
%perl_process_packlist
%perl_gen_filelist

%files -f %{name}.files
%doc CHANGELOG README
%license ARTISTIC.txt GPL2.txt

%changelog