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|
%global _empty_manifest_terminate_build 0
Name: python-climetlab-maelstrom-radiation
Version: 0.7.4
Release: 1
Summary: A dataset plugin for climetlab for the dataset maelstrom-radiation.
License: Apache License Version 2.0
URL: https://git.ecmwf.int/projects/MLFET/repos/maelstrom-radiation
Source0: https://mirrors.aliyun.com/pypi/web/packages/3a/30/02b7605fe0317c47cbe595613643c8a4417bba4c7e8718c12ef42f6d3fe7/climetlab_maelstrom_radiation-0.7.4.tar.gz
BuildArch: noarch
Requires: python3-climetlab
Requires: python3-tensorflow
Requires: python3-deep500
%description
## maelstrom-radiation
A dataset plugin for climetlab (https://climetlab.readthedocs.io/en/latest/)
for the dataset maelstrom-radiation.
## Datasets description
This data is for learning the
emulation of the ECMWF radiation scheme, using the McICA solver, found in the ecRad package
(https://github.com/ecmwf/ecrad). Building an accurate emulator of radiative heating
could accelerate weather and climate models partially by enabling the use of GPU
hardware within our models.
There are two datasets, allowing different views on the same data:
### 1 : `maelstom-radiation`
Supports the `to_xarray` method and allows users to explore the data with all structure kept intact.
### 2 : `maelstrom-radiation-tf`
Loads the same data but from a shuffled and repacked into the TFRecord format. This dataset supports
`to_tfdataset` which uses Tensorflow's dataset object.
## Using climetlab to access the data
Both datasets and downloaded and explained in the demo notebook here
https://git.ecmwf.int/projects/MLFET/repos/maelstrom-radiation/browse/notebooks/demo_radiation.ipynb
The climetlab python package allows easy access to the data with a few lines of code such as:
```
!pip install climetlab climetlab_maelstrom_radiation
import climetlab as cml
cml_ds = cml.load_dataset("maelstrom-radiation", subset="tier-1")
ds = cml_ds.to_xarray()
!or for the TFdataset version
cml_ds = cml.load_dataset("maelstrom-radiation-tf", subset="tier-1")
ds = cml_ds.to_tfdataset(batch_size=256)
```
%package -n python3-climetlab-maelstrom-radiation
Summary: A dataset plugin for climetlab for the dataset maelstrom-radiation.
Provides: python-climetlab-maelstrom-radiation
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-climetlab-maelstrom-radiation
## maelstrom-radiation
A dataset plugin for climetlab (https://climetlab.readthedocs.io/en/latest/)
for the dataset maelstrom-radiation.
## Datasets description
This data is for learning the
emulation of the ECMWF radiation scheme, using the McICA solver, found in the ecRad package
(https://github.com/ecmwf/ecrad). Building an accurate emulator of radiative heating
could accelerate weather and climate models partially by enabling the use of GPU
hardware within our models.
There are two datasets, allowing different views on the same data:
### 1 : `maelstom-radiation`
Supports the `to_xarray` method and allows users to explore the data with all structure kept intact.
### 2 : `maelstrom-radiation-tf`
Loads the same data but from a shuffled and repacked into the TFRecord format. This dataset supports
`to_tfdataset` which uses Tensorflow's dataset object.
## Using climetlab to access the data
Both datasets and downloaded and explained in the demo notebook here
https://git.ecmwf.int/projects/MLFET/repos/maelstrom-radiation/browse/notebooks/demo_radiation.ipynb
The climetlab python package allows easy access to the data with a few lines of code such as:
```
!pip install climetlab climetlab_maelstrom_radiation
import climetlab as cml
cml_ds = cml.load_dataset("maelstrom-radiation", subset="tier-1")
ds = cml_ds.to_xarray()
!or for the TFdataset version
cml_ds = cml.load_dataset("maelstrom-radiation-tf", subset="tier-1")
ds = cml_ds.to_tfdataset(batch_size=256)
```
%package help
Summary: Development documents and examples for climetlab-maelstrom-radiation
Provides: python3-climetlab-maelstrom-radiation-doc
%description help
## maelstrom-radiation
A dataset plugin for climetlab (https://climetlab.readthedocs.io/en/latest/)
for the dataset maelstrom-radiation.
## Datasets description
This data is for learning the
emulation of the ECMWF radiation scheme, using the McICA solver, found in the ecRad package
(https://github.com/ecmwf/ecrad). Building an accurate emulator of radiative heating
could accelerate weather and climate models partially by enabling the use of GPU
hardware within our models.
There are two datasets, allowing different views on the same data:
### 1 : `maelstom-radiation`
Supports the `to_xarray` method and allows users to explore the data with all structure kept intact.
### 2 : `maelstrom-radiation-tf`
Loads the same data but from a shuffled and repacked into the TFRecord format. This dataset supports
`to_tfdataset` which uses Tensorflow's dataset object.
## Using climetlab to access the data
Both datasets and downloaded and explained in the demo notebook here
https://git.ecmwf.int/projects/MLFET/repos/maelstrom-radiation/browse/notebooks/demo_radiation.ipynb
The climetlab python package allows easy access to the data with a few lines of code such as:
```
!pip install climetlab climetlab_maelstrom_radiation
import climetlab as cml
cml_ds = cml.load_dataset("maelstrom-radiation", subset="tier-1")
ds = cml_ds.to_xarray()
!or for the TFdataset version
cml_ds = cml.load_dataset("maelstrom-radiation-tf", subset="tier-1")
ds = cml_ds.to_tfdataset(batch_size=256)
```
%prep
%autosetup -n climetlab_maelstrom_radiation-0.7.4
%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-climetlab-maelstrom-radiation -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.4-1
- Package Spec generated
|
