automatic import of python-satflow

3 files changed, 167 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..3c711a8 100644
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+/satflow-0.3.36.tar.gz
diff --git a/python-satflow.spec b/python-satflow.spec
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+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..846f062
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+21213df22ca881041f209cdec8747a0c  satflow-0.3.36.tar.gz