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@@ -0,0 +1 @@ +/satflow-0.3.36.tar.gz diff --git a/python-satflow.spec b/python-satflow.spec new file mode 100644 index 0000000..c00fb87 --- /dev/null +++ b/python-satflow.spec @@ -0,0 +1,165 @@ +%global _empty_manifest_terminate_build 0 +Name: python-satflow +Version: 0.3.36 +Release: 1 +Summary: Satellite Optical Flow +License: MIT License +URL: https://github.com/openclimatefix/satflow +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ee/e0/cc6d95438ff7c0fcfc71a722913a9bd38f60b0d0fe863f393a08777d01f6/satflow-0.3.36.tar.gz +BuildArch: noarch + +Requires: python3-albumentations +Requires: python3-antialiased-cnns +Requires: python3-hydra-core +Requires: python3-hydra-optuna-sweeper +Requires: python3-hydra-colorlog +Requires: python3-lightning-bolts +Requires: python3-neptune-client +Requires: python3-neptune-pytorch-lightning +Requires: python3-pytest +Requires: python3-dotenv +Requires: python3-pytorch-msssim +Requires: python3-rich +Requires: python3-torchvision +Requires: python3-affine +Requires: python3-torch-optimizer +Requires: python3-huggingface-hub +Requires: python3-einops +Requires: python3-metnet +Requires: python3-skillful-nowcasting +Requires: python3-perceiver-model +Requires: python3-nowcasting-dataset +Requires: python3-nowcasting-utils +Requires: python3-transformers +Requires: python3-torch + +%description +# SatFlow +***Sat***ellite Optical ***Flow*** with machine learning models. + +The goal of this repo is to improve upon optical flow models for predicting +future satellite images from current and past ones, focused primarily on EUMETSAT data. + +## Installation + +Clone the repository, then run +```shell +conda env create -f environment.yml +conda activate satflow +pip install -e . +```` + +Alternatively, you can also install a usually older version through ```pip install satflow``` + +## Data + +The data used here is a combination of the UK Met Office's rainfall radar data, EUMETSAT MSG +satellite data (12 channels), derived data from the MSG satellites (cloud masks, etc.), and +numerical weather prediction data. Currently, some example transformed EUMETSAT data can be downloaded +from the tagged release, as well as included under ```datasets/```. + + +%package -n python3-satflow +Summary: Satellite Optical Flow +Provides: python-satflow +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-satflow +# SatFlow +***Sat***ellite Optical ***Flow*** with machine learning models. + +The goal of this repo is to improve upon optical flow models for predicting +future satellite images from current and past ones, focused primarily on EUMETSAT data. + +## Installation + +Clone the repository, then run +```shell +conda env create -f environment.yml +conda activate satflow +pip install -e . +```` + +Alternatively, you can also install a usually older version through ```pip install satflow``` + +## Data + +The data used here is a combination of the UK Met Office's rainfall radar data, EUMETSAT MSG +satellite data (12 channels), derived data from the MSG satellites (cloud masks, etc.), and +numerical weather prediction data. Currently, some example transformed EUMETSAT data can be downloaded +from the tagged release, as well as included under ```datasets/```. + + +%package help +Summary: Development documents and examples for satflow +Provides: python3-satflow-doc +%description help +# SatFlow +***Sat***ellite Optical ***Flow*** with machine learning models. + +The goal of this repo is to improve upon optical flow models for predicting +future satellite images from current and past ones, focused primarily on EUMETSAT data. + +## Installation + +Clone the repository, then run +```shell +conda env create -f environment.yml +conda activate satflow +pip install -e . +```` + +Alternatively, you can also install a usually older version through ```pip install satflow``` + +## Data + +The data used here is a combination of the UK Met Office's rainfall radar data, EUMETSAT MSG +satellite data (12 channels), derived data from the MSG satellites (cloud masks, etc.), and +numerical weather prediction data. Currently, some example transformed EUMETSAT data can be downloaded +from the tagged release, as well as included under ```datasets/```. + + +%prep +%autosetup -n satflow-0.3.36 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-satflow -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.36-1 +- Package Spec generated @@ -0,0 +1 @@ +21213df22ca881041f209cdec8747a0c satflow-0.3.36.tar.gz |