Accepting request 512384 from home:jengelh:branches:science

- Trim descriptions.

OBS-URL: https://build.opensuse.org/request/show/512384
OBS-URL: https://build.opensuse.org/package/show/science/clFFT?expand=0&rev=4
This commit is contained in:
Martin Pluskal 2017-07-25 06:41:04 +00:00 committed by Git OBS Bridge
parent f7f432daa2
commit 0890b7638f
2 changed files with 11 additions and 9 deletions

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@ -1,3 +1,8 @@
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Mon Jul 24 23:22:32 UTC 2017 - jengelh@inai.de
- Trim descriptions.
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Fri Jul 21 18:37:46 UTC 2017 - mpluskal@suse.com

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@ -41,9 +41,8 @@ BuildRequires: pkgconfig(fftw3)
ExcludeArch: %{ix86} %{arm}
%description
The clFFT library is an open source OpenCL library implementation of discrete
Fast Fourier Transforms, which:
* Provides a fast and accurate platform for calculating discrete FFTs.
The clFFT library is an OpenCL implementation of discrete
Fast Fourier Transforms which:
* Works on CPU or GPU backends.
* Supports in-place or out-of-place transforms.
* Supports 1D, 2D, and 3D transforms with a batch size that can be greater
@ -69,9 +68,8 @@ Summary: Library for libclfft
Group: System/Libraries
%description -n %{libclfft}
The clFFT library is an open source OpenCL library implementation of discrete
Fast Fourier Transforms, which:
* Provides a fast and accurate platform for calculating discrete FFTs.
The clFFT library is an OpenCL implementation of discrete
Fast Fourier Transforms which:
* Works on CPU or GPU backends.
* Supports in-place or out-of-place transforms.
* Supports 1D, 2D, and 3D transforms with a batch size that can be greater
@ -89,9 +87,8 @@ Summary: Library for libclfft
Group: System/Libraries
%description -n %{libtimer}
The clFFT library is an open source OpenCL library implementation of discrete
Fast Fourier Transforms, which:
* Provides a fast and accurate platform for calculating discrete FFTs.
The clFFT library is an OpenCL implementation of discrete
Fast Fourier Transforms which:
* Works on CPU or GPU backends.
* Supports in-place or out-of-place transforms.
* Supports 1D, 2D, and 3D transforms with a batch size that can be greater