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+%global _empty_manifest_terminate_build 0
+Name: python-aether
+Version: 0.3.37
+Release: 1
+Summary: Welcome to the Aether Platform
+License: MIT License
+URL: https://davidbernat.github.io/aether-user/html/index.html
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1f/7e/bf82f29fb793d37cbf249eacbe82fceb63c524ac0a4e693eb35e11b0173e/aether-0.3.37.tar.gz
+BuildArch: noarch
+
+Requires: python3-dill
+Requires: python3-geocoder
+Requires: python3-utm
+Requires: python3-pyshp
+Requires: python3-Pillow
+Requires: python3-Shapely
+Requires: python3-aenum
+Requires: python3-numpy
+Requires: python3-pyproj
+Requires: python3-rasterio
+Requires: python3-six
+Requires: python3-tifffile
+Requires: python3-geojson
+Requires: python3-fiona
+Requires: python3-tensorflow
+Requires: python3-tensorboard
+Requires: python3-oauth2client
+
+%description
+# Welcome to Aether
+
+The Aether platform is a system of applications and utilities for developers to rapidly and easily build algorithms
+that use satellite and geospatial data. The Aether platform is accessible by REST API and python, but operates
+entirely in the cloud using deferred graphs. This allows developers to build and execute applications with processing
+abstracted away and minimal data transfer. An important consequence of this design choice is that the same algorithm
+code developers use during exploration can be repackaged and deployed as mobile or web applications. These
+applications are entirely portable, and can be published to users or other developers through a simple URL key.
+In that regard, the Aether platform is an SDK for satellite analytics and framework for mobile end user applications.
+
+The platform currently supports search of three publicly available Resources: The LandSat Archive (LandSat 4
+through 8), Sentinel-2, and the USDA Cropland Data Layer, a 30m map of the US categorizing the agricultural land use
+annually.
+
+The platform is designed to rapidly add new data layers, making them available through the same interface. Resources
+can be hosted by Aether, or made accessible via owner API, and restricted to a subset of users. The usage of each
+Resource and its geographic usage is tracked as well.
+
+The Aether platform is designed to allow user-developers to compile and publish their applications as easily as they
+prototype, often with the same code. This tutorial demonstrates a developer creating an application that generates
+an NDVI map from LandSat imagery for an arbitrary polygon, which does not need to be specified until runtime by
+the end user (or mobile device).
+
+
+
+
+%package -n python3-aether
+Summary: Welcome to the Aether Platform
+Provides: python-aether
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-aether
+# Welcome to Aether
+
+The Aether platform is a system of applications and utilities for developers to rapidly and easily build algorithms
+that use satellite and geospatial data. The Aether platform is accessible by REST API and python, but operates
+entirely in the cloud using deferred graphs. This allows developers to build and execute applications with processing
+abstracted away and minimal data transfer. An important consequence of this design choice is that the same algorithm
+code developers use during exploration can be repackaged and deployed as mobile or web applications. These
+applications are entirely portable, and can be published to users or other developers through a simple URL key.
+In that regard, the Aether platform is an SDK for satellite analytics and framework for mobile end user applications.
+
+The platform currently supports search of three publicly available Resources: The LandSat Archive (LandSat 4
+through 8), Sentinel-2, and the USDA Cropland Data Layer, a 30m map of the US categorizing the agricultural land use
+annually.
+
+The platform is designed to rapidly add new data layers, making them available through the same interface. Resources
+can be hosted by Aether, or made accessible via owner API, and restricted to a subset of users. The usage of each
+Resource and its geographic usage is tracked as well.
+
+The Aether platform is designed to allow user-developers to compile and publish their applications as easily as they
+prototype, often with the same code. This tutorial demonstrates a developer creating an application that generates
+an NDVI map from LandSat imagery for an arbitrary polygon, which does not need to be specified until runtime by
+the end user (or mobile device).
+
+
+
+
+%package help
+Summary: Development documents and examples for aether
+Provides: python3-aether-doc
+%description help
+# Welcome to Aether
+
+The Aether platform is a system of applications and utilities for developers to rapidly and easily build algorithms
+that use satellite and geospatial data. The Aether platform is accessible by REST API and python, but operates
+entirely in the cloud using deferred graphs. This allows developers to build and execute applications with processing
+abstracted away and minimal data transfer. An important consequence of this design choice is that the same algorithm
+code developers use during exploration can be repackaged and deployed as mobile or web applications. These
+applications are entirely portable, and can be published to users or other developers through a simple URL key.
+In that regard, the Aether platform is an SDK for satellite analytics and framework for mobile end user applications.
+
+The platform currently supports search of three publicly available Resources: The LandSat Archive (LandSat 4
+through 8), Sentinel-2, and the USDA Cropland Data Layer, a 30m map of the US categorizing the agricultural land use
+annually.
+
+The platform is designed to rapidly add new data layers, making them available through the same interface. Resources
+can be hosted by Aether, or made accessible via owner API, and restricted to a subset of users. The usage of each
+Resource and its geographic usage is tracked as well.
+
+The Aether platform is designed to allow user-developers to compile and publish their applications as easily as they
+prototype, often with the same code. This tutorial demonstrates a developer creating an application that generates
+an NDVI map from LandSat imagery for an arbitrary polygon, which does not need to be specified until runtime by
+the end user (or mobile device).
+
+
+
+
+%prep
+%autosetup -n aether-0.3.37
+
+%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-aether -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.37-1
+- Package Spec generated