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%global _empty_manifest_terminate_build 0
Name: python-econ-layers
Version: 0.0.28
Release: 1
Summary: Pytorch layers for economic applications.
License: MIT license
URL: https://github.com/HighDimensionalEconLab/econ_layers
Source0: https://mirrors.aliyun.com/pypi/web/packages/37/4c/1e7f063c8cfecec8974402186db184845bbd34d22888beca628cc41cdbec/econ_layers-0.0.28.tar.gz
BuildArch: noarch
Requires: python3-torch
Requires: python3-pytest
Requires: python3-black
Requires: python3-numpy
Requires: python3-jsonargparse[signatures]
%description
# Pytorch Layers for Economics Applications
[](https://pypi.python.org/pypi/econ_layers) [](https://github.com/HighDimensionalEconLab/econ_layers/actions)
## Pytorch
- Documentation: https://HighDimensionalEconLab.github.io/econ_layers
## Features
- Exponential layer
- Flexible multi-layer neural network with optional nonlinear last layer
- Affine rescaling of output by an input
## Development
To publish a new relase to pypi,
1. Ensure that the CI is passing
2. Modify [setup.py](setup.py#L56) to increment the minor version number, or a major version number once API stability is enforced
3. Choose the "Releases" on the github page, then "Draft a new relase"
4. Click on "Choose a tag" and then type a new release tag with the `v` followed by the version number you modified to be consistent
5. After you choose "Publish Release" it will automatically push to pypi, and you can change compatability bounds in downstream packages as required.
## Credits
This package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [giswqs/pypackage](https://github.com/giswqs/pypackage) project template.
%package -n python3-econ-layers
Summary: Pytorch layers for economic applications.
Provides: python-econ-layers
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-econ-layers
# Pytorch Layers for Economics Applications
[](https://pypi.python.org/pypi/econ_layers) [](https://github.com/HighDimensionalEconLab/econ_layers/actions)
## Pytorch
- Documentation: https://HighDimensionalEconLab.github.io/econ_layers
## Features
- Exponential layer
- Flexible multi-layer neural network with optional nonlinear last layer
- Affine rescaling of output by an input
## Development
To publish a new relase to pypi,
1. Ensure that the CI is passing
2. Modify [setup.py](setup.py#L56) to increment the minor version number, or a major version number once API stability is enforced
3. Choose the "Releases" on the github page, then "Draft a new relase"
4. Click on "Choose a tag" and then type a new release tag with the `v` followed by the version number you modified to be consistent
5. After you choose "Publish Release" it will automatically push to pypi, and you can change compatability bounds in downstream packages as required.
## Credits
This package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [giswqs/pypackage](https://github.com/giswqs/pypackage) project template.
%package help
Summary: Development documents and examples for econ-layers
Provides: python3-econ-layers-doc
%description help
# Pytorch Layers for Economics Applications
[](https://pypi.python.org/pypi/econ_layers) [](https://github.com/HighDimensionalEconLab/econ_layers/actions)
## Pytorch
- Documentation: https://HighDimensionalEconLab.github.io/econ_layers
## Features
- Exponential layer
- Flexible multi-layer neural network with optional nonlinear last layer
- Affine rescaling of output by an input
## Development
To publish a new relase to pypi,
1. Ensure that the CI is passing
2. Modify [setup.py](setup.py#L56) to increment the minor version number, or a major version number once API stability is enforced
3. Choose the "Releases" on the github page, then "Draft a new relase"
4. Click on "Choose a tag" and then type a new release tag with the `v` followed by the version number you modified to be consistent
5. After you choose "Publish Release" it will automatically push to pypi, and you can change compatability bounds in downstream packages as required.
## Credits
This package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [giswqs/pypackage](https://github.com/giswqs/pypackage) project template.
%prep
%autosetup -n econ_layers-0.0.28
%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-econ-layers -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.28-1
- Package Spec generated
|
