## START: Set by rpmautospec
## (rpmautospec version 0.7.3)
## RPMAUTOSPEC: autorelease, autochangelog
%define autorelease(e:s:pb:n) %{?-p:0.}%{lua:
    release_number = 1;
    base_release_number = tonumber(rpm.expand("%{?-b*}%{!?-b:1}"));
    print(release_number + base_release_number - 1);
}%{?-e:.%{-e*}}%{?-s:.%{-s*}}%{!?-n:%{?dist}}
## END: Set by rpmautospec

Name:           python-torchsde
Version:        0.2.6
Release:        %autorelease
Summary:        Differentiable SDE solvers with GPU support and efficient sensitivity analysis
License:        Apache-2.0
URL:            https://github.com/google-research/torchsde
Source:         %{url}/archive/v%{version}/torchsde-%{version}.tar.gz

BuildArch:      noarch
BuildRequires:  python3-devel
# Tests
BuildRequires:  python3-pytest
# Due to pytorch dependency
ExclusiveArch:  x86_64 aarch64

%global _description %{expand:
PyTorch Implementation of Differentiable SDE Solvers Python package
This library provides stochastic differential equation (SDE) solvers
with GPU support and efficient backpropagation.}

%description %_description

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

%description -n python3-torchsde %_description

%prep
%autosetup -p1 -n torchsde-%{version}
pushd tests
sed -i 's/msg=/reason=/g' test_brownian_path.py
sed -i 's/msg=/reason=/g' test_brownian_interval.py
sed -i 's/msg=/reason=/g' test_brownian_tree.py
popd

%generate_buildrequires
%pyproject_buildrequires

%build
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files -l torchsde

%check
%pyproject_check_import
%pytest

%files -n python3-torchsde -f %{pyproject_files}
%doc DOCUMENTATION.md
%doc examples

%changelog
## START: Generated by rpmautospec
* Sun Dec 29 2024 John Doe <packager@example.com> - 0.2.6-1
- Uncommitted changes
## END: Generated by rpmautospec