Name:           python-pyqlearning
Version:        1.2.5
Release:        1%{?dist}
Summary:        pyqlearning is Python library to implement Reinforcement Learning and Deep Reinforcement Learning, especially for Q-Learning, Deep Q-Network, and Multi-agent Deep Q-Network which can be optimized by Annealing models such as Simulated Annealing, Adaptive Simulated Annealing, and Quantum Monte Carlo Method.

# Check if the automatically generated License and its spelling is correct for Fedora
# https://docs.fedoraproject.org/en-US/packaging-guidelines/LicensingGuidelines/
License:        GPLv2
URL:            https://github.com/accel-brain/accel-brain-code/tree/master/Reinforcement-Learning
Source0:        %{pypi_source pyqlearning}

BuildArch:      noarch
BuildRequires:  python3-devel


# Fill in the actual package description to submit package to Fedora
%global _description %{expand:
This is package 'pyqlearning' generated automatically by pyp2spec.}


%description %_description

%package -n     python3-pyqlearning
Summary:        %{summary}

%description -n python3-pyqlearning %_description


%prep
%autosetup -p1 -n pyqlearning-%{version}


%generate_buildrequires
%pyproject_buildrequires -r


%build
%pyproject_wheel


%install
%pyproject_install
# For official Fedora packages, including files with '*' +auto is not allowed
# Replace it with a list of relevant Python modules/globs and list extra files in %%files
%pyproject_save_files '*' +auto


%check
%pyproject_check_import -t


%files -n python3-pyqlearning -f %{pyproject_files}


%changelog
* Fri Jan 14 2022 mockbuilder - 1.2.5-1
- Package generated with pyp2spec