# Generated from ibm-ml-0.3.0.gem by gem2rpm -*- rpm-spec -*-
%global gem_name ibm-ml

Name: rubygem-%{gem_name}
Version: 0.3.0
Release: 1%{?dist}
Summary: Client library for calling IBM Machine Learning API
License: Apache-2.0
URL: https://github.com/IBM-DSE/ibm-ml-ruby
Source0: https://rubygems.org/gems/%{gem_name}-%{version}.gem
BuildRequires: ruby(release)
BuildRequires: rubygems-devel
BuildRequires: ruby
# BuildRequires: rubygem(rspec) >= 3.0
# BuildRequires: rubygem(rspec) < 4
# BuildRequires: rubygem(rubocop) >= 0.54
# BuildRequires: rubygem(rubocop) < 1
BuildArch: noarch

%description
Simplifies development of applications using an IBM Machine Learning service
by providing methods for getting deployments and calling them. Operates with
both IBM Watson Machine Learning as well as Machine Learning on DSX Local.


%package doc
Summary: Documentation for %{name}
Requires: %{name} = %{version}-%{release}
BuildArch: noarch

%description doc
Documentation for %{name}.

%prep
%setup -q -n %{gem_name}-%{version}

%build
# Create the gem as gem install only works on a gem file
gem build ../%{gem_name}-%{version}.gemspec

# %%gem_install compiles any C extensions and installs the gem into ./%%gem_dir
# by default, so that we can move it into the buildroot in %%install
%gem_install

%install
mkdir -p %{buildroot}%{gem_dir}
cp -a .%{gem_dir}/* \
        %{buildroot}%{gem_dir}/



%check
pushd .%{gem_instdir}
# rspec spec
popd

%files
%dir %{gem_instdir}
%exclude %{gem_instdir}/.gitignore
%exclude %{gem_instdir}/.rubocop.yml
%exclude %{gem_instdir}/.travis.yml
%license %{gem_instdir}/LICENSE.txt
%{gem_instdir}/bin
%{gem_libdir}
%exclude %{gem_cache}
%{gem_spec}

%files doc
%doc %{gem_docdir}
%exclude %{gem_instdir}/.rspec
%{gem_instdir}/Gemfile
%doc %{gem_instdir}/README.md
%{gem_instdir}/Rakefile
%{gem_instdir}/ibm-ml.gemspec

%changelog
* Mon Sep 13 2021 mockbuilder - 0.3.0-1
- Initial package