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+%define anolis_release 1
+%global pypi_name albumentations
+%global pypi_version 1.3.1
+
+Name:           python-%{pypi_name}
+Version:        %{pypi_version}
+Release:        %{anolis_release}%{?dist}
+Summary:        Fast image augmentation library and easy to use wrapper around other libraries
+
+License:        MIT
+URL:            https://github.com/albumentations-team/albumentations
+Source0:        %{pypi_source}
+BuildArch:      noarch
+
+BuildRequires:  python3-devel python3-pip
+BuildRequires:  python3dist(imgaug) >= 0.4
+BuildRequires:  python3dist(numpy) >= 1.11.1
+BuildRequires:  python3dist(opencv) >= 4.1.1
+BuildRequires:  python3dist(pytest)
+BuildRequires:  python3dist(pyyaml)
+BuildRequires:  python3dist(qudida) >= 0.0.4
+BuildRequires:  python3dist(scikit-image) >= 0.16.1
+BuildRequires:  python3dist(scipy) >= 1.1
+BuildRequires:  python3dist(setuptools)
+BuildRequires:  python3dist(imgaug)
+BuildRequires:  python3dist(torchvision)
+BuildRequires:  python3dist(wheel)
+BuildRequires:  pytorch
+
+%description
+Albumentations is a Python library for image augmentation. Image augmentation is used in deep 
+learning and computer vision tasks to increase the quality of trained models. The purpose of 
+image augmentation is to create new training samples from the existing data.
+
+%package -n     python3-%{pypi_name}
+Summary:        %{summary}
+%{?python_provide:%python_provide python3-%{pypi_name}}
+
+Requires:       python3dist(imgaug) >= 0.4
+Requires:       python3dist(numpy) >= 1.11.1
+Requires:       python3dist(opencv) >= 4.1.1
+Requires:       python3dist(pytest)
+Requires:       python3dist(pyyaml)
+Requires:       python3dist(qudida) >= 0.0.4
+Requires:       python3dist(scikit-image) >= 0.16.1
+Requires:       python3dist(scipy) >= 1.1
+Requires:       python3dist(imgaug)
+%description -n python3-%{pypi_name}
+Albumentations is a Python library for image augmentation. Image augmentation is used in deep 
+learning and computer vision tasks to increase the quality of trained models. The purpose of 
+image augmentation is to create new training samples from the existing data.
+
+%prep
+%autosetup -n %{pypi_name}-%{pypi_version}
+# Remove bundled egg-info
+rm -rf %{pypi_name}.egg-info
+
+%build
+%pyproject_wheel
+
+%install
+%pyproject_install
+%pyproject_save_files %{pypi_name}
+
+
+%check
+%pyproject_check_import
+
+
+%files -n python3-%{pypi_name} -f %{pyproject_files}
+%license LICENSE
+%doc README.md
+
+%changelog
+* Tue Jan 23 2024 zhongling.h <zhonglingh@linux.alibaba.com> - 1.3.1-1
+- Initial package.